Thursday, February 25, 2021

Review: Potential Effectiveness of Paleolithic Nutritional Interventions in Treatment of Gynecological Cancers - Juniper Publishers

 Cancer Therapy & Oncology - Juniper Publishers 

Abstract

Background: As limited research has been performed for treating gynecological conditions using paleodiet intervention, it is in demand to conduct many randomized controlled trials to prove its effectiveness. This review indicates one of the most important literature gaps in gynae-oncology, in the time where paleo nutrition has recently emerged as a treatment option, indicated in few short-term clinical trials and case reports related to gynecological cancers.

Objective: This meta-analysis is aimed to address the importance of nutritional intervention, with emphasis on paleo nutrition, in treatment of gynecological cancers, pre-malignancy conditions, and post therapy/surgical recovery in women.

Materials: PubMed, Scopus, SciPubs, Mayo Clinic, Cochrane Library, Covance Laboratory and ASRM databases were used for collecting data in the form of case reports, research articles, reviews, clinical trials, journals and books.

Design: Out of 400 publications, 7 are shortlisted for their relevance to gynecological cancers and paleo nutrition interventions. Case reports and short-term clinical trials between year 2000-2020 are included for comparative analysis of Paleodiet and its variants with other nutritional interventions.

Results: Scientific data on genetic and molecular impacts of paleo-nutrition on gynecological cancers has not been reported. Clinical reports suggest significant improvement through paleodiet intervention in anthropometric markers and metabolism, for pre-treatment and post-treatment examination, in patients of gynae-oncology & pre-malignant stages. A limited data is available for comparative analysis of paleodiet and other dietary interventions.

Conclusion: Paleo nutrition is an under-researched future intervention and has a potential to impact treatment strategies for gynecological patients. A large volume of randomized controlled trials for each ethnic group can help manage the cancer burden globally.

Keywords: Paleo-Oncology; Paleo Diet; Gynecological Cancers; Discordance Hypothesis; Meta-analysis

Introduction

Nearly 20-88% patients of gynecological oncology present with symptoms of malnutrition [1]. Whereas 20% deaths in gynecologic cancers are attributed to metabolic stress and progressive nutritional decline [2]. Different from malnutrition, cancer cachexia related metabolic stress cannot be easily reversed with caloric intake alone [3]. According to the United States Cancer Statistics, about 94,000 women in the US were diagnosed with gynaecologic cancer annually, between 2012 and 2016 [4]. The latest figures provided by the World Health Organization, mark cervical cancer as the fourth most common cancer type in women. Facts sheet discusses various indices including cervical cancer ‘incidence’ recorded in 2018 which numbered 570,000 women globally who were diagnosed with it, and ‘fatality’ of 311,000 women who died with the disease [5].

Research focus has now shifted as scientists are navigating through the history of cancer in ancient skeletal preserves. Human Papilloma Virus mediated being a major cause of uterine cervix, was noted to be likely present in ancient Dakhleh as this virus has evolved and formed an etiological link to reproductive cancers [6]. In this regard, field of paleo-oncology has provided convincing evidence of socio-cultural, environmental, and biological factors as contributors of oncogenic mutations & epimutations which resulted in emergence of various types of malignancies [7]. Cancer is a modern disease as well as part of our legacy [8], as suggested by the archeological studies in fossil remains of animals, humans and their ancestors of Paleolithic period (approximately 2.5 million-10,000 years ago). These studies show how cancer has majorly affected the populations who have adopted industrial lifestyles, quite different from the routines of their ancestors, which were based on farming practices and paleo diet [9]. Therefore, the multiple diet patterns of our Palaeolithic ancestors, of diverse ethnic and geographic groups, varied considerably in composition and proportion of macronutrients from vegan and non-vegan food sources [10].

Methods

Search Strategy: Due to limited data and literature available on paleo-gynae oncology between 2000-2020, a single case report, clinical trial results and two meta-analysis articles of randomized clinical trials were included. Other articles, clinical trials and clinical reports were indirectly related to the impacts of paleodiet in treating gynae-oncology patients. These were included in the review for their emphasis on treatment of symptomology, indirectly related to gynecological conditions and diseases, using paleodiet. Reviews on healthy subjects and volunteers with no previous history of disease symptoms or risks were excluded. Due to insufficient evidence, cross over trials were also excluded.

Results

Efficacy of Paleo Nutrition

A customized paleo-diet intervention help cured a female with recurrent cervical intraepithelial neoplasia without hysterectomy. No other supplementary treatment or nutrient intervention was reported to have been adopted in the procedure. No side effects have been reported in 26 months long dietary treatment [11]. Paleodiet variants were proved beneficial, for treating obesity in menopausal women, as compared to other dietary interventions in short-term randomized controlled trial [12]. Paleo-vegan, Indian variant of paleo nutrition, proved to enhance insulin sensitivity in diabatic and endocrine abnormalities [13]. Table 1 summarizes scientific evidence of paleodiet interventions used to treat gynecological cancers and pre-malignant conditions. Dietary components which were customized for specific size of experimental groups indicate that only natural food sources and enriched with macronutrients of paleolithic times are present in the diet plan. Table 2 shortlists clinically tested paleodiet variants used to treat various conditions related to gynae-oncology.

Clinically Used Paleo Nutrition Variants

Table 2 summarizes the health advantages obtained for different patients of gynaecological complications through customized paleodiet variants. Paleo-keto combination proved successful in complete cessation of cervical neoplasia without hysterectomy or any supplementary dietary treatments [11]. Palaeolithic Type diet (PD) used in randomized controlled trial for post-menopausal obese women helped reducing risks associated with metabolic syndrome [12]. Vegan variant of paleo diet proved beneficial for diabetes related malfunctioning of endocrine hormones [13].

Relationship of Metabolic Syndrome (MetS) with Gynecological Cancers

Epidemiological studies data of large populations have suggested that MetS is related to an increased risk of cervical carcinoma. Timely diagnosis and proper management of the metabolic syndrome (MetS) is highly recommended as a strategy undertaken to control and cure gynaecologic cancer [14]. Paleodiet and variants have shown significant improvement in risks associated with MetS as determined from the decline in weight, C-reactive protein, glycated haemoglobin, improved blood pressure, glucose tolerance, insulin level, and lipid profiles [15]. Figure 1 provides summary of potential metabolic benefits of paleodiet as indicated in short-term randomized controlled trials.

Comparative Analysis of Different Nutrient

Interventions in controlling MetS Paleodiet efficacy as determined against different guidelinebased control diet plans, in various randomized controlled trials, was greater in eliciting short-term impacts on Metabolic Syndrome related five major factors. These broadly included waist circumference, blood pressure (systolic & diastolic), serum glucose concentrations, triglycerides & HDL cholesterol in fasting condition [10]. Table 3 provides clinical data of various MetS risk factors assessed after nutritional interventions given to post-menopausal women. Results indicate greater reduction of triglycerides, waist circumference and blood pressure. No significance reduction is observed in HDL cholesterol in both groups. Serum glucoses increase in control group is indicated by high carb diet.

Discussion

Impact

Global Cancer Burden

Today, among non-communicable diseases which are responsible for 82% of NCD related deaths globally, cancer alone contribute to 21.7% of it [16]. As mortality rate is predicated to increase manifolds by 2030, according to the World Health Organization cancer might affect 12.6 million people annually [17]. Various indices which are used in measuring cancer burden include prevalence, incidence, fatality, and mortality [18]. These indices are used comprehensively by the International Agency for Research on Cancer (IARC) of the World Health Organization (WHO) in publishing global cancer statistics. The database is available online at CANCER Mondial website (http://www-dep. iarc.fr). This data is alarming and calls for urgent need to develop FDA approved, regional based, customized dietary plans to contain the progress of the disease.

Prevalence of Gynaecologic Cancers

Centres of Disease Control and Prevention provides information about five leading types of gynaecological cancers. The most common gynaecologic cancer in 2012-2016 was uterine cancer (26.82 cases per 100,000) and the least common (0.66 per 100,000) was vaginal cancer. The highest incidence rate (9.60 per 100,000) of cervical cancer was among Hispanic women. White women had the highest incidence rate (27.16 per 100,000) of uterine, ovarian (11.50 per 100,000), and vulvar (2.80 per 100,000) cancer. The highest incidence rate (0.90 per 100,000) of vaginal cancer was among black women [4]. The sixth type is fallopian tube cancer which is rarely found [19]. Women dietary habits have an immense role to play in their reproductive system health [1].

Importance of Nutritional Interventions in Gynecologic Cancers

Several evidence-based guidelines have been developed for reversing the effects of malnutrition in adult cancer patients by (ESPN) the European Partnership for Action Against Cancer, initiative at EU level [3]. For gynecological cancers, several nutritional interventions have been reported by randomized clinical trials between 2002-2015. Cervical benign, ovarian, and uterine cancer related early dietary treatment plans have been advised [20]. Table 4 summarizes some randomized clinical trials to estimate effectiveness of pre-treatment and post-treatment nutritional interventions in addition to other modes of treatment for gynae-oncology patients.

Limitations

Due to a small volume of randomized clinical trials which are mostly conducted in developed countries, it is not yet sensible to draw a conclusion whether paleo diet must be added in multimodal treatment plans of gynecological cancers. In the same context, growing significance of paleo-oncology cannot be underestimated. Funded research projects and voluntary clinical research is the need of the hour to statistically evaluate the role of paleodiet in reducing gynecological cancer burden and improving reproductive health of women of all ethnicities [21,22].

Future Directions

FDA can implement a one-year research plan to bring into practice customized paleodiet charts for healthy individuals coming in for mammography or related clinical examinations. Later stage can expand the research volume to incorporate patients with risk to develop cancer and pre-malignant complications of gynecology. It has now become a social responsibility as an immense volume of disinformation on social media platforms are urging laymen to self-experiment with pseudo-paleo nutrition which is yet another challenge to overcome in the domain of gynae-oncology.

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Tuesday, February 23, 2021

Perspectives of Biomedical Application of Macrofungi - Juniper Publishers

 Biomedical Engineering & Biosciences - Juniper Publishers 


Macrofungi (mushrooms) have widely been appreciated all over the world for their nutritional values and medicinal properties. They have been used in traditional medicine for more than 3000 years for prevention and treatment of different diseases. Modern scientific research shows that mushrooms are producers of a broad spectrum of high- and low-molecular-weight bioactive compounds, i.e., alkaloids, polysaccharides, proteins, phenolics, terpenoids, polyketides, cyclic peptides, lectins and ribosome-inactivating proteins. They have various therapeutic effects as antidiabetic, anti-inflammatory, antimicrobial, antioxidant, anti-tumorous, antiviral, cardioprotective, hepatoprotective, hypocholesterolemic, hypotensive, immunomodulatory, neuroprotective and regenerative, and possess promising pharmacological potential. Development of fungal biotechnological cultivation industry will support production of mushroom-derived biotech products, healthy food and mycopharmaceuticals pharmaceuticals. Further advances in fungal biology and biotechnology, genomics and proteomics will assist biomedical research and application of macrofungi.

Keywords: Medicinal macrofungi; Basidiomycota; Ascomycota; Bioactive compounds; Pharmacological effect; Biomedicine

Abbreviations: BAC: Bioactive Compounds; FIP: Fungal Immunomodulatory Protein; MM: Medicinal Mushrooms

Introduction

Fungi are very diverse organisms distributed worldwide and found in almost all habitats. From estimated 1.5-3 million species of fungi about 150,000 species are macrofungi (mushrooms)taxonomically placed in two phyla, the Basidiomycota (class Agaricomycetes) and Ascomycota (class Pezizomycetes) in the subkingdom Dikarya [1]. Among Among them about 10% (14,000-16,000) are scientifically well-known including, about 7000 edible species and 500 poisonous species [2,3]. There may be as many as 700 medicinal macrofungi (MM) which are regarded safe and possess around 130 different pharmacological activities [4,5].

Macrofungi have widely been appreciated all over the world not only for their nutritional values but also medicinal properties [5-12]. They have been used in traditional medicine for more than 3000 years for prevention and treatment of different diseases [13,14]. Despite available ethno-mycopharmacological information and scientific data the extensive pharmacological and biotechnological potential offered by Macrofungi is certainly not yet fully exploited [15-20].

Bioactive Compounds and Pharmacological Activity of Macrofungi

Modern scientific data shows that agaricoid, polyporoid, and other taxonomic groups of Macrofungi are producers of a broad spectrum of high- and low-molecular-weight bioactive compounds (BAC), i.e., alkaloids, polysaccharides, proteins, phenolics, tepenoids, polyketides, cyclic peptides, lectins, ribosome-inactivating proteins [21-27]. These These BAC molecules were investigated for their various therapeutic effects as analgesic, antimicrobial, antiviral, antioxidant, immunomodulatory, anti-inflammatory, antitumor, mitogenic/regenerative, hypotensive, hepatoprotective, antidiabetic/hypoglycemic, hypocholesterolemic, cardio- and neuroprotective activities [28-45].

Wild and cultivable edible, and non-edible MM (e.g. Agaricus brasiliensis, Agrocybe cylindracea, Auricularia auricula-judae, Coprinus comatus, Ganoderma applanatum, G. lucidum, Grifola frondosa, Hericium erinaceus, Flammulina velutipes, Inonotus obliquus, Lentinula edodes, Ophiocordyceps (syn. Cordyceps) sinensis, Phellinus linteus, Pleurotus ostreatus, Polyporus umbellatus, Trametes versicolor, Tremella fuciformis, Wolfiporia cocos, etc.) are considered as valuable sources to develop health enhancing functional food (nutraceuticals, nutriceuticals), macrofungi-derived drugs (mycopharmaceuticals), and cosmetic products (cosmeceuticals, nutricosmetics) which are perspective for biomedical application [12,18-20,46].

A wide spectrum of bioactive molecules with macrofungi origin has been recommended for a variety of therapeutic applications, such as the immunomodulatory β-glucan lentinan from L. edodes [27], the antimalarial alkaloid 4-hydroxymethylquinoline from T. versicolor [47]; pain-suppressive enkephalinase inhibitors from Polyporus betulinus [48]; nephroprotective polysaccharides, phenolics, and flavonoids from Pleurotus tuber-regium [37].

The extract derived from well-known medicinal species Cordyceps sinensis and Agaricus subrufescens. subrufescens possess anticancer effects by modulating the immune system and inducing cell apoptosis [25,38]. The edible medicinal oyster mushroom P. ostreatus ostreatus has significant hypocholesterolemic properties and other pharmacological effects [30,39,40,43]. Anticancer, antimicrobial, antioxidant, antiviral, hypolipidemic, immunomodulatory, and estrogen-like activities were observed in Pleurotus eryngii due to the production of diterpenoids, as eryngiolide A, hemolysins, polysaccharides, pentacyclic triterpenoids, ubiquinone-9, and other pharmacologically active biomolecules [43,49,50]. Genome sequencing, comparative genomics, and phylogenetic analysis of medicinal polypore mushroom Lignosus rhinocerotis revealed sesquiterpenoid biosynthesis genes. Moreover, the genome of L. rhinocerotis encodes for 1,3-β- and 1,6-β-glucans, as well as for laccase, lectin, and other fungal immunomodulatory proteins (FIP) [51,52].

The Ganoderma species produce the highest diversity of bioactive compounds (alkaloids, fatty acids, nucleosides, polysaccharides, proteins, sterols, triterpenoids, etc.) with antiaging, antibacterial, anticancer, antidiabetic, antifungal, antihypertensive, anti-inflammatory, antioxidant, antiviral, hepatoprotective, hypoglycemic, immunomodulatory, neuroprotective, wound-healing, and other pharmacological effects [22,23,32-34,41,42].

Conclusion and Future Perspectives

Nowadays, pharmaceutical companies consider the medicinal macrofungi as a rich source of innovative biomedical molecules extracted not only from fruiting bodies but also from both cultivated mycelial biomass and cultural broth. Moreover, the mycelium and the cultural broth might be considered as safe potential sources of bioactive compounds, due to their shorter incubation time and affordable culture conditions (e.g., requiring less space, low probability of contamination, and higher production of biomass) [12,36,43].

The advances in multidimensional biotechnological cultivation industry of macrofungi will further support development and application of myco-biotech products biotech products and pharmaceuticals in biomedicine [7,19,20].

Currently, in vitro assays, animal studies, and clinical trials justify the experience of traditional medicine and suggest a great potential of macrofungi-derived compounds and pharmaceuticals for both the prevention and treatment of various diseases. However, development of high-quality and safe biotech products under controlled conditions with standardized procedures for further clinical trials are needed to substantiate the pharmacological properties or side effects of mushroom consumption before their clinical recommendation as myco-pharmaceutical drugs [36,53- 56]. Compared to available extensive lists of bioactive compounds of macrofungi and their therapeutic effects and therapeutic effects, the pathways of their biosynthesis and the genes behind are largely understudied [19]. Therefore, advances in fungal biology and biotechnology, genomics and proteomics are required for further biomedical research and application of macrofungi.

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Monday, February 22, 2021

Social Sharing and Ongoing Narratives Provide Potential Pathways to Enhance Daily Health: Timely Perspectives from the UK and Japan (LifeStyle by Design: Virtual Living Lab) - Juniper Publishers

 Environmental Sciences & Natural Resources - Juniper Publishers  

Abstract

In the latter part of the twentieth century there was, in some developed markets, a reevaluation of the basic definition of healthcare. This led to a fundamental shift from a treatment orientation to a prophylactic stance and expanding self-medication. Social cost drivers were part of this transformation as well as an increasing recognition of the impact and importance of lifestyle-related disease. This led to a broader and more dynamic view of health that needed improved health literacy so that individuals could make informed lifestyle choices.

Attitude naturally drives behavior and the seminal work that established the ‘Positive Health’ initiative offers a coherent framework to effect healthy lifestyle behaviour. Social media, and social sharing of healthy lifestyle can act as both a catalyst for, and an accelerator to, the take-up of new such choices. Understanding what is important to people enables policy makers and educators to engage with communities in a relevant meaningful and effective manner. The narratives that are shaping our digital lives can be the basis of behavioural shifts that can enhance people’s QOL.

During a period of unprecedented and rapid changes in people lives, caused by the covid-19 pandemic, this research, in Japan and the UK, tracks some of the narratives that can enhance a ‘Positive Health’ narrative. To ‘engage with engagement’ it is not simply having the appropriate content, but it is also critical to convey the appropriate tone. This is dramatically illustrated by the emotional dynamics at a time of perceived vulnerability / uncertainty during 2020 global pandemic.

Keywords: Narratives; Positive health; Self-medication; Affect; QOL; Informed choice; Social; Sharing; Empowerment

Introduction

A core tenet of The University of Tokyo’s LifeStyle by Design research initiative is the increasing need to empower the individual to make an informed choice about their own healthy life options. To execute this policy demands greater health literacy amongst the population. As self-medication and healthy lifestyle choices become increasingly important social sharing of new ideas and practices can readily go viral [1]. This will have the potential to drive major attitudinal and behavioral shifts that enhance ‘healthspan’, rather than just longevity.

Taking a LifeStyle by Design stance will improve an individual’s QOL and potentially transformative and pervasive for public and private sector stakeholders, alike. It is widely accepted that roughly 60percent of mortality and 80percent of the global disease burden are a function of just four LifeStyle choices- lack of exercise; poor nutrition; smoking and alcohol abuse.

As countries try to balance their social health costs, especially in ageing demographies, the increasing need for self-medication necessitates that policy align with the attitudinal shift from a treatment to a prophylactic priority in healthcare. As such, the longstanding (from 1948; [2]) World Health Organisation’s (WHO) definition of healthcare:

‘Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity’ is at odds with empowering the individual to make personal and potentially ambiguous choices regarding their own health

Social Sharing Narratives

The covid-19 pandemic has magnified the importance of science and technology innovation to create a new and sustainable society. It has also illustrated that any communications must be inclusive and understood and embraced by multiple constituencies to have a coherent effect. The diffusion of new ideas is greatly enhanced by the almost ubiquitous participation in social. Indeed, narratives and social media are integral parts of today’s connected world. Critically, trust is paramount as it is amplified in a social setting and more than ever people find trusted voices in their networks.

State-of-the-art communication science, driven by AI, can classify the utility of different narratives. They should be viewed as complex, organic structures, with unique behaviours and characteristics. Most of today’s, digital conversations, [82 percent [1]] can be viewed as Transient and have no impact. Practically it is also possible to identify Timeless and Transformational narratives that can effect change, implement policy, and create sustainable value. Significantly, this allows one to identify, at any time, what is important to people, so that one can readily participate with topical conversations in a relevant and credible manner; to ‘engage with engagement’. It is more effective and efficient to be part of the on-going story rather than to try to intrude from outside, which has historically been the traditional mass communication norm.

LifeStyle by Design proposes to leverage social media to ensure the effective and efficient delivery of the appropriate narratives, in context, to different constituencies. It is anticipated that this will help create Community Value. We began in mid-2019 to benchmark twenty key narratives [1] in the UK and Japan, to draw scalable communication implications for policymakers and public and private institutions, alike. The original premise was to understand what people wanted and that would enable innovation to magnify and annex on-going trends. Beyond creating a benchmark of attitudes and behavior, to monitor the mood of society, it was also intended to be comparative in nature focusing on both Japan and the UK, to help affect policy or monitor any subsequent action plan. Naturally one can hypothesise material differences in the nature of the narratives associated with LifeStyle heath choices and self-medication, not only because of cultural differences, but also due to differences in primary healthcare provision between the two countries. For example, the primacy of the General Practitioner as the interface for the patient / family in the UK.

Traditional consumer / market research is by its’ very nature akin to looking in the rear-view mirror while driving. A different approach adopted for LifeStyle by Design to explicitly extract insights from on-going global narratives. To do this we chose Significance System’s proven and proprietary platform earth.ai, which analyses millions of behavioural interactions with content, to model human interaction, and to provide an objective read on engagement, media power, and the authentic, emotional drivers of (new) behaviour. It can sense and quantify over 400 named emotional states, in response to any story. The process considers all open data online as contending for consideration. Significance Systems follow a computational-reductionist approach applying multiple layers of processing to identify and extract humanmeaningful social-signaling structure within the petabytes of raw topical data available to the first stages of our process. This process dramatically reduces the volume of data to which they then apply computationally intensive processes such as detailed grammatical analysis. The textual content is interpreted within an affect model. As such the understanding of the emotional depth of the narrative, allows for better understanding and connection with people.

The core premise, explore LifeStyle by Design innovation opportunities, is that social sharing can be more authentic, and trustable than traditional forms of mass communications and can drive real world outcomes, it is now possible, with big-data based communications insight, to;

a) Objectively explore these narratives to understand the drivers and dynamics of changing behavior and consensus;

b) Probe what people value and feel are more important;

c) Establish how new solutions can be effectively introduced to create new and better behaviours.

To ‘engage with engagement’ it is not simply having the appropriate content, but it is also critical to convey the appropriate tone. This is dramatically illustrated by the emotional dynamics at a time of perceived vulnerability / uncertainty during 2020 global pandemic, when it is evident that, with conflicting policy options, unclear and sometimes contradictory messages only exacerbated the difficult situation. Figure 1 shows the affect associated with covid-19 from March 2020 when the country went into the first lockdown through to mid-January 2021.

Affect is a rich measure of the emotional tone of the narrative. It is felt emotion which is a powerful descriptor of future behaviour. Below the horizontal we see negative emotions dominating the positive senses (above the vertical). Initial panic (red) was replaced by fear, grief, despair and resignation, and material periods of confusion and anger. People’s resilience (above the vertical) came through with a greater sense of belonging helping to maintain hope and create optimism. One clear learning in coping with the pandemic has been the need to have a positive outlook, to obviate the heightened negativity. Anxiety and anger has been exacerbated by confusing, contradictory messages from local and central government officials. The Guardian [3] links this confusion, with lockdown rules changing on average less than every 5 days on average, for the 10 months since March 2020.

Positive Health

In line with this, in name and reality, the seminal work [4] that resulted in the ‘Positive Health’ initiative is reflective of a prophylactic stance regarding health. Critically, it offers a potential, patient-centric, framework of health [5] in which social sharing can enhance its take-up and diffusion. This represents a major transformation from the WHO’s definition of health. The dynamic concept of health as espoused by Positive Health offers a broad perception of health (Table 1) that can readily facilitate prioritizing macro policy decisions. That said, it helps support the individuals’ own direction and is wholly consistent with the broader challenges outlined in ‘The 100 Year Life’ [6]. In practice, it can be readily used for a subjective assessment of one’s state. Critically it facilitates the patient taking the lead and setting their own actions, to reflect what is important to them. Huber [5] devised a simple ‘spider chart’ to visualize the results, at any given time. The basis of the spider chart are the 6 main dimensions summarized in Table 1.

The sense of supporting the individuals own direction is, Hasegawa [7] notes, like the Japanese notion of ikigai. She speaks to the shift in emphasis of Positive Health from ‘restoring to normal’ to ‘support ability to adapt’. Although there is no direct translation of ikigai in English it connotes sense of purpose in life or happiness in living and the secret has been the focus of international best seller by Garcia & Miralles [8]. Empowering the individual to the take the lead naturally requires a change in the role of the healthcare professional, but it can be envisaged it will reduce the need for care.

Narratives that can Shape our World

The benchmark primary research began in June 2019, with a first wave of the LifeStyle by Design narratives in Japan and the UK; followed by a second wave in December 2019; with a special third wave, April 2020, when the UK was in lockdown and Japan had the national emergency in place. Subsequent waves included in this paper were in June and December 2020. This is the basis of what is referred to as the LifeStyle by Design, Virtual, Living Lab [9].

The vast majority of narratives, are Transient (82%). Such narratives will fall away without significant investment. These are poor choices for communications, since as issues, they are not expected to persist or grow. Strategically, such narratives are often easy to ‘own’, but they must be driven, or connected to greater relevance and/or differentiation, to have any longterm value. Tribal (11%) narratives are characterised by intense debate, being driven by personal experiences or commercial perspectives, bringing divergent POVs. The vast majority of this debate, therefore has no impact. Although it is easy to be a participant, it is far more difficult to be a player or leader in such narratives.Those narratives that have the greatest potential utility are Transformational and Timeless. Transformational (2%) narratives are characterised by intensely, engaged experiences with strong timeless themes. These narratives are fast-changing, yet potentially result in lasting transformation of the world. Timeless (5%) narratives are expected to persist or grow. They are characterised by long-term, deep engagement These narratives are good choices for communication activities. If one considers the narratives of the top 100 brands / companies then their effective communications strategies are focused. One sees Timeless engagement representing at least 90 percent of the narratives [10].

In tracking narratives that can shape our world, we recognize explicitly that:

a) popular stories affect individual and community behavior.

b) improve decision-making comes by knowing and addressing what people feel is important.

c) relevant and timely communications, in context, can stimulate change in perception and behaviour.

d) not just content but tone is important has been exemplified by changing affect during covid-19 (Figure 1).

To leverage the strong story, it is now possible to go beyond traditional media planning considerations and focus on the strong narrative. Simply

a) Know what to say;

b) How to say it;

c) Who to say it to;

d) Where to say it.

For this paper, a subset of the 20 narratives [1] being benchmarked, in Japan and the UK, is considered. These are skewed towards the notion of ‘Positive Health’:

a) My Community (私のコミュニティ).

b) Personal Activity (個人的な活動).

c) Wellness (健康) #3.

d) My Resilience (私の回復力).

e) Motivation (動機).

f) Personal Optimism(個人楽観主義).

To develop the narrative Landscapes, we look at all online sources, in Japan and the UK respectively, up to the date of the research wave. There is no time window. So, depending on the specific narrative, which self organises, it could be dominated by recent content ... or not. The period of study, June2019 to December 2020, saw unprecedented and dramatic changes in people’s behaviour, with covid-19 becoming a social media virus as well as a biospheric virus. Already social and political commentators are referring to the tectonic shift created by the pandemic in terms of different era BC, DC and AC [Before- During- and After Covid-19] [11]. During this tumultuous period, with minds altered, opinions changed, and attitudes adjusted, it is not surprising that some of the narratives themselves took on different characteristics (Table 2).

Some differences are evident in both the classification of the narratives chosen above, between Japan and the UK, and the extent to which a particular narrative has been stable over the study period. Of all the narratives benchmarked it is evident that at present there is higher average engagement for the narratives in the UK [1]. For the UK, with the exception ‘Personal Optimism’, all the other narratives studied are Timeless and therefore of potentially value to effect change. In the case of Personal Optimism it begin as Transient, perhaps because of the uncertainty around Brexit in June 2019; became Tribal after the conservative government majority in the election in December 2020, but by mid-2020 was Transient it was only in early December that the first vaccine was approved in the UK. [The UK was the first country in the world to approve the Pfizer/BioNTech vaccine].

With relatively weaker levels of engagement in Japan, only “My Community’, ‘Personal Activity’ and ‘Wellness’ are broadly Timeless in Japan, and the remainder (‘My Resilience’, ‘Motivation’, ‘Personal Optimism’) are Transient. A priori the Timeless narratives currently have the most potential to affect attitudes and behavioural shifts. That is not to say that during the study period the affect around these narratives remained constant. One practical advantage of this Virtual Living Lab is that the research waves can be as regular as necessary; our Japan and the UK comparative benchmark has 2 waves a year; while the information on the affect associated with covid-19 in the UK, is tracked daily.

In June 2019 ‘My Community’ in Japan is Timeless but has poor definition (weak content efficiency) (Figure 2). Content Efficiency is a measure of the extent to which the existing narrative content is significant. High content efficiency means that much existing content is significant, whereas a low score means there is a gap between the needs of the narrative, and the currently-created content. Affect Orientation (Figure 3) is a measure of the degree to which the narrative stimulates an emotional response: active or passive, positive or negative. Most narratives are simply neutral, and do not provoke any emotional response. ‘My Community’ which is driven by an active, negative engagement, will polarise opinion. Although it has the power to grow, to maximise longterm power, it must transform from destructive and oppositional, to being viewed in positive and creative way. The analyses shows that YouTube is the media with most power around the ‘My Community’ narrative. Figure 4 shows how this has been transformed during the pandemic so that the ‘My Community’ narrative projects a sense of delight being both active and positive.

Understanding of the emotional resonance of the narrative, assists in the development of strategy for both content creation and curation that can effectively disperse new ideas. Affect is a rich measure of the emotional tone of the significant content. Understanding of the emotional drivers empower you to better understand, and respond appropriately to, the emotional impact of the narrative. This is portrayed in Figure 5 for ‘My Community’ in Japan in June 2019.

In Figure 5, positive emotions are highlighted in green, whereas negative emotions are red. If there is a clear tonality to the emotions expressed, such as expectation or apprehension, these are shown in purple.The intensity of the colour indicates the intensity of each emotion. The width of each arc reflects the degree to which the named emotion contributes to the overall emotional response. Broad emotions, such as fear and love, are closer to the centre of the chart. The more subtle emotions, which contribute to those broad emotions, are shown in the concentric rings further out. Moving out from the centre, each ring shows a further level of detail. From June 2019 to December 2020 the affect around ‘My Community’ becomes noticeably more positive, although expectations and hope are somewhat weaker (Figure 6). The dislike coming from jealousy and envy that was evident at the start of the study (Figure 3), has disappeared as the sense of community became a more practical support, through closeness, during the unprecedented changes, such as teleworking, caused by the pandemic.

In broad terms a similar pattern can be seen over time in the UK with “My Community’ becoming more important to the resilience of the nation during the pandemic. In June 2019, the Affect Orientation was more active and negative than in Japan (Figure 3), indicative of the disgust and opposition being stimulated by the Brexit debate. By June 2020, there is evidence of a sense of satisfaction and content, as well as pride providing hope to overcome the defeatism that drives, resignation and despair (Figure 7), as the Affective Orientation has become positive, but neither active nor positive.

With enforced isolation the pandemic has triggered reflection, soul-searching and friendship has been redefined and taken on new forms Not surprisingly, the affect around the Family, is both active and positive and despite being surprised and astonished by the situation there is a sense of calmness, love and joy in the family unit. Covid-19 is first a human tragedy, and we are witnessing universal human values of love, purpose, and connectivity uniting us. We can see that reflected in the broader narratives tracked, in the UK, by LifeStyle by Design’s Virtual Living Lab, where in December 2020 ‘Personal Friendship’, ‘Personal Bonding’, and “Personal Satisfaction’ are all Transformational. As we look to the future, we should support the things that bind us together, and invest in our communities at scale. We can imagine that role of convenience stores, especially in Japan, will have the potential to become more integral to daily ‘community’ living, community health, and contactless experiences; less about casual shopping but more mainstream as people are now concerned about dining out and queueing in supermarkets. Ito-Yokado have recently announced they will start a nationwide mobile supermarket channel in 2022 to help ‘stay-at-home’ consumers have access to daily perishables.

Our study period has seen abrupt and fundamental changes in ‘Personal Activity’. In June 2019 the affect orientation of ‘Personal Activity’ had active, but negative engagement, which can polarize opinion. The strongest impact on topical engagement was found at http://news4vip.livedoor.biz. By December 2020 the affect orientation of the ‘Personal Activity’ narrative had changed to be active and positive and therefore had created some momentum with its positive engagement. The most powerful content driving the narrative was found at Yahoo Japan. During the same period a similar trend could be seen in the UK. One sees similar shifts in emotional cues from negative to positive, but they have also become weaker, perhaps reflective of the increasing lack of ‘real’ control people have over their time.

At the heart of LifeStyle by Design’s interest in ‘Positive Health [7] is the notion of Wellness. In both countries Wellness is a Timeless narrative which suggests that it has long term and deep engagement potential and can be driven by a small number of key players, leaders, who are considered experts and authorities. The affect orientation of Wellness is positive and active, while most narratives are simply neutral and do not provoke any emotional response. Therefore, if one magnifies the enthusiasm, optimism and energy of this narrative then it can grow further and be adapted to drive meaningful behavior. However, in the UK it is relatively well defined compared to Japan. In both countries YouTube has a significance influence as the media that drives the category but in Japan it is also evident that local culture (cf. manga), and social media play an important role. A visual exploration of the content shows very little difference between Japan and the UK.

In the UK, in December 2019, Wellness is driven by four principal topics and themes which were interrelated and personal: Global Wellness Institute, body, wellness and weight. One year later in December 2020, the key topics have materially changed to ones which have a macro and public policy skew: health, investment, workplace and care. These are shown in matrix (Figure 8) It shows the topics which are driving emotional engagement, and the tone of the associations between them. Green indicates a positive association, and in this instance, there are no negative associations. White means a neutral connection, and blue, an association driven by anticipation and expectation.This matrix gives you an ‘at-a-glance’ view of the overall complexity, engagement, and tone of the narrative.

In Japan in December 2019, there were a wider number of different topics and themes (Figure 9), compared to the UK, driving emotional engagement. Many of these interrelationships were positive (as indicated by green), but (lack of) exercise and health have a negative association (red). However, the situation had changed materially one year on, in a similar way to the UK by becoming significantly less personal. The key topics with this narrative included management, Tokyo Stock Exchange, personal perspectives and work, Ministry, health, collaboration and perspective. The association between each of these key topics had, after almost a year of the pandemic, all become negative!

For many observers around the world [12], including Japan [13] there has been a heightening of mental health concerns during the pandemic. Fujieda city in Shizuoka took an unusual step for their senior residents (living alone or in care homes) as they would be unable to receive visits from family/friends. The municipality made robotic companions (PaPeRo from NEC Corporation) available for rent. Speech recognition enables PaPeRo to have conversations, and other functions enable the elderly to keep in touch with family/friends electronically. Significantly, it can be also used for health monitoring by tracking the senior’s activity.

Of all the narratives tracked in the LifeStyle by Design’s Virtual Living Lab, ‘Motivation‘ in the UK has consistently been the strongest Timeless narrative tracked, as shown in the UK narrative landscape, for December 2020 (Figure 10). This may be a reflection of cultural differences between Japan and the UK, where individuality and short-termism are relatively important in the latter [14].

‘Motivation’ has consistently been driven by active, positive engagement and, as such, has momentum. Powered by enthusiasm and energy, they exhibit growth and adaptation, and drive behaviour. The positive emotions associated with ‘Motivation” are about satisfaction and a sense of content, but there are some fear and dislike that has to be acknowledged and resolved. Indeed, an American worldwide employment website owned by the Japanese Recruit Co., in September 2020, produced some especially powerful content [15] that provided practical examples of different types of motivation in the workplace.

Conclusion & Implications

Health has moved to the top of everyone’s agenda as the pandemic has fundamentally, and permanently, changed how people live, work and what is important to them. In terms of technology transformation, covid-19 has in many regards fastforwarded our futures. In particular digitisation, data analytics will increase predictive analysis to be used to personalize healthcare and there will be greater consumerisation of the (contactless) patient experience, only further heightening healthy lifestyle choices.

This reframing of healthcare for society demands an improved level of health literacy amongst the population and this can be assisted by, as well as personal adoption of ‘Positive Health’ tracking help behavioural shifts towards, and maintenance of, health lifestyle behaviour. covid-19 has been attitudinal transformational, an equaliser, in that people are now talking more about mental health and seeking treatment when they would not have done before. There is need to create a momentum, and public and private institutions will need to accelerate digital investments and participation in ecosytems, where aligning with Lifestyle narratives is likely to become more influential and impactful.

The imperative to communicate and really connect is to ensure that the complex is simplified. Since most narratives are Transient this is also indicative that not all screen time / social media is productive time. Creating healthy, productive social media user experiences has become topical given the increasing reliance of social media and social sharing due to social distancing. It is driving start-up investment [16] and generating dialogue between entrepreneurs and social media specialists who believe they can create better media options, that clarify content. Some recent, social issue research [17] has identified latent desires and conflicts, through data mining, in a way that can provide greater societal understanding of subcultures, current issues and potential avenues to better governance. That said, our approach of engaging with engagement is more singular and focuses to help attitudinal and behavioral LifeStyle change. Empowering the individual through stories that go viral will have the impact outlined in Narrative Economics [18].

As people evolve from DC to AC, they are looking forward to experimenting with newer activities [18]. The pandemic has brought forward people’s expectations in technology and innovation, as well as a desire to streamline their lives. Companies that recognize the new nature of convenience and community will embrace mobility, contactless experiences, and social sharing to create dynamic, future-forward behaviours.

With many different people/institutions naturally trying to provide help and advice; the imperative is to focus on what is important to people, now. Their health literacy is inadequate for the demands of self-medication, never mind in the new reality created by covid-19. Trust is an imperative but that can be gained by talking and fueling the stories that are important. The pandemic has sparked innovation, whether a start-up or an established cross-border, MNC, today’s digital ecosystems enable you to focus the right message, to the right people, and in the right context. Listening is so underrated, but with a focus on objectively understanding and leveraging important stories, public policy and commercial enterprise, leaders, alike can affect change for the good. Engaging with engagement can move people, and can move markets, that will enhance people’s health and QOL. The critical characteristic to enhance QOL is a positive attitude and a sense of personal empowerment [19].

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Friday, February 19, 2021

Dental Stem Cells- Potential for Tooth Regeneration - Juniper Publishers

 Global Journal of Otolaryngology - Juniper Publishers  

Abstract

Dental Stem cells are undifferentiated cells isolated from tooth and associated structures. Dental stem cells can be easily obtained from both adult and deciduous teeth, the periodontal ligament, the apical papilla and the dental follicle. Their subsequent differentiation can be utilized to replace the lost tooth structures. Here we aim to highlight potential of dental stem cells from varied origin for tooth regeneration. Several studies have demonstrated tooth tissue regeneration. Application of recent 3D bioprinting technology has further enhanced probability of accurate tooth tissue regeneration. However complete tooth regeneration is still a future thing.

Keywords: Dental stem cells

Abbreviations: SHED: Stem Cells from Human Exfoliated Deciduous Teeth; DPSC: Dental Pulp Stem Cells; SCAP: Stem Cells from Apical Papilla; PDLSC: Periodontal Ligament Derived Stem Cells; DFPC: Dental Follicle Precursor Cells

Introduction

Mesenchymal stem cells (MSCs) are the unspecialized cells that have the capacity to differentiate into multiple specialized cell types, each having new specialized cell functions. Though adult stem cells are not totipotent like embryonic stem cells, they have proliferative, differentiating and regenerative potential. There is great potential for the isolation of MSCs from a single tooth that may have a wide range of uses. Stem cells have been obtained from the dental pulp of both adult and deciduous teeth, the periodontal ligament, the apical papilla and the dental follicle. Dental stem cells are obtained relatively easily, thus making them an appropriate source for autologous stem cell transplantation to replace lost tooth structures.

Repair of dental pulp and periodontal ligament is a huge clinical challenge as human teeth exhibit very limited regeneration capacity. Stem cells may be useful for restoring vital pulp tissue lost because of infection, periodontal tissues damaged due to periodontal diseases and for reestablishment of lost partial or complete tooth structures to form biological implant. These cells may be used for dentinal repair of many teeth. This mini review aims to highlight potential of dental stem cells from varied origin for tooth regeneration.

Dental stem cells: types and regenerative potential

Gronthos et al. [1] isolated stem cells from dental pulp of impacted third molars and it was termed dental pulp stem cells (DPSC). These cells have a high proliferation rate and the ability to sustain self- renewal. DPSCs when transplanted in immunocompromised mice demonstrated the ability to form functional dental tissue in the form of pulp- dentin complex. 1 Further study demonstrated that DPSCs were also capable of differentiating into other mesenchymal cell derivatives in vitro such as odontoblasts, adipocytes, chondrocytes and osteoblasts [2,3]. It has been documented that stem cells isolated from the pulp of human exfoliated deciduous teeth (SHED) can generate dentine, inducing bone formation and differentiation into other non-dental mesenchymal cell derivatives in vitro [4,5].

SHED and other dental stem cells are derived from neural crest ectomesenchyme, and so may appear developmentally identical but studies have shown that there are differences. Compared to DPSCs, SHED have higher proliferation rates, increased population doublings and osteoinductive capacity in vivo [6]. In a study, SHED was seeded onto tooth slices/ scaffolds and implanted subcutaneously into immunodeficient mice, it was found that SHED differentiated into functional odontoblasts capable of generating tubular dentine and angiogenic endothelial cells [7]. In another study, combining SHED with injectable scaffolds (Puramatrix™ and rh Collagen type I) revealed appreciable survival of dental stem cells when injected into human premolar root canals in vivo, complete reconstruction of vascularized pulp tissue throughout the root canal, and differentiation to DSPP and DMP-expressing odontoblasts responsible for generation of new dentin [8].

Stem cells from apical papilla (SCAP) are characterized by a high proliferation rate that makes them suitable for forming odontoblast-like cells for a cell-based regeneration, being able to produce dentin in vivo and to complete the root formation. SCAP is an important cell source for pulp regeneration as the apical papilla can survive even during the process of cell necrosis. SCAP can differentiate into odontoblasts and adipocytes and SCAP exhibit higher proliferation rates than DPSC [9]. Huang et al. [10] demonstrated that the in vivo implantation of SCAP with a scaffold allowed the formation of pulp-like tissues in the root canal. The formation of heterotopic dental pulp/dentin complex in empty root canals using SCAP-cell sheet-derived pellet even without a scaffold has been reported by another study [11].

In immuno-compromised mice, using ex vivo–expanded human DPSCs and SCAP, synthetic scaffolds and human root segments, the regeneration of vascularized pulp-like tissue and the formation of dentin-like mineral structures depositing onto the existing dentinal wall in the root canal space was demonstrated. 10 It was found that the root canal space was entirely filled by a pulp-like tissue with well-established vascularity. Furthermore, along the canal dentinal wall, deposition of a continuous layer of dentin-like tissue was observed.

The stem cells from human periodontal ligament (PDL) are capable of differentiation along mesenchymal cell lineages to produce cement oblast-like cells, adipocytes, and connective tissue rich in collagen I [13]. The cell surface marker characteristics and differentiation potential of periodontal ligament stem cells (PDLSC) has been displayed to be comparable to bone marrow stromal stem cells and DPSC [13]. Transplantation of PDLSC into immuno-compromised mice, resulted in formation of cementum/ PDL-like structures.

Co- transplantation of both SCAP (to form the root) and PDLSC (to from the periodontal ligament) into tooth sockets of mini pigs model resulted in generation of a root/ periodontal complex which was competent of supporting a porcelain crown thus restoring normal tooth function [9]. This suggests that these cell populations can be used to generate biological roots like metal implants, by capping with artificial crowns. The dental follicle is considered a multipotent tissue, as it has the capacity to generate cementum, bone and PDL from the ectomesenchyme-derived fibrous tissue. Dental follicle precursor cells (DFPC) have also been isolated and grown under defined tissue culture conditions. More recently, characterization of these stem cells has exhibited their potential for use in tissue engineering applications, including periodontal and bone regeneration [14].

A novel approach for clinical translation of these biology- based studies would be the endogenous recruitment of progenitor/ stem cells into the root canals for dental pulp regeneration. Advances are being made to develop and replace entire tooth in adult environment thus achieving complete tooth regeneration.

Current trend: 3D bio-printed dental tissue regeneration using dental stem cells

In this context, modern 3D bioprinting modalities have imperatively demonstrated tooth regeneration using extracellular matrix (ECM) derived scaffolds and cytocompatibility microenvironments for tissue regeneration. Athirasala et al. [15] developed a novel bioink, blending printable alginate (3% w/v) hydrogels with fractions of the dentin matrix. They demonstrated odontogenic differentiation of stem cells from the apical papilla encapsulated in bioprinted hydrogels [15]. Although several advances have been made in dental tissue regeneration using various 3D printed scaffolds of different materials like gelatin/alginate hydrogels or 3D bioprinted PCL (poly-epsiloncaprolactone)/ hydroxyapatite and incorporating stem cells from varied sources like human dental pulp cells (HDPCs) and apical papilla. Apparently, none of them could result in complete formation of tooth and its associated structures [16,17]. Further developments in technology and the shapes and composition of carriers for these cells make the possibility of creating a viable dental implant a reality in not too distant future.

Conclusion

Despite the advances made in dental tissue regeneration employing stem cells from varied sources, tooth regeneration is still a future thing. The chief limiting factor is that majority of the studies were done on small animal models so they cannot be directly translated to humans in the clinics. Nevertheless, it would not be an overstatement to say that stem cell based regenerative procedures are the future of dentistry..

Wednesday, February 17, 2021

Advances in Real-Time Soil Fertility Determination - Juniper Publishers

 Agricultural Research & Technology - Juniper Publishers

Abstract

Rapid advances in sensor technology are enabling aggressive use of informatics in agriculture. This paper focuses on applying the newly developed soil electrical impedance spectrum sensor combined with artificial intelligence to predict soil fertility. The described method determines the type and amount of fertilizer to be used. The proposed sensor system is portable and fast enough for real-time measurements in the field using a slow-moving tractor. It is affordable, battery-powered and allows wireless data transmission to the farmer’s soil database. Such a database allows the farmer to create a reliable fertilizer plan. The crop is of better quality because fertilizer is applied only where it is needed on the plot. The use of fertilizer is optimized, costs are reduced, and the environment is preserved. Many papers report more or less credible results on this problem, but they lack verification of real conditions in the field.

Keywords: Soil analysis; Real-time fertilization plan; Electrical impedance spectrum of the soil; Soil classificatory

Abbreviations: Application Specific Integrated Circuit (ASIC); Deionized (DI); Agriculture Institute of Slovenia (KIS); Principle of Component Analysis (PCA)

Introduction

The diversity of soil conditions in terms of its moisture, composition, texture, and temperature makes soil analysis very difficult. The deterministic methods, such as chemical analysis, cannot be used in the field because it requires a chemical laboratory. It is time consuming, expensive and unreliable as it only relates to a particular soil sample. Dozens of soil samples must be collected and analyzed per acre. In the recent article [1], the authors described their vision about the future development of digital agriculture. They listed several possible sensors that would monitor the agricultural plot and collect a soil and crop status database below and above the surface. The analysis of this data would pave the way for the optimization of agricultural activities. Many methods have been described [2-4], but none are accurate enough or acceptable for real-time applications. We want to collect soil fertility results in a few seconds while driving the tractor over the field. In this section, we will briefly review some of the most promising soil characterization technologies. Optical methods were investigated using spectral analysis in both the visible and visible-infrared spectra, analyzing either reflectance or transmittance results. Our investigation of these methods did not meet our expectations. We tried an interesting approach to study the residual of tiny dried droplets of soil extraction fluid and found promising results. This approach is shown in Figure 1. Figure 2 shows the optical spectra of such a soil solution. Some other impressive results can be obtained under laboratory conditions, but field application is not feasible. Raman spectroscopy or mass spectroscopy analysis is too expensive and too slow for on the fly analysis. The non-contact methods using microwaves and terahertz waves are too expensive and not convincingly reliable. Unfortunately, these methods have not met the expected criteria. We need a better approach that is marketable and accepted by farmers. In our study, we decided to develop a sensor system that meets the following criteria for acceptance:

a.accuracy, reliability, and repeatability,

b.fast, on the spot, portable, battery-powered,

c.easy to use, robust and user-friendly,

d.low cost, and

e.ready for wireless communication.

The closest technology to meet the listed requirements seemed to measure and analyze the soil’s electrical impedance spectrum. The soil electrical impedance spectrum method [4] is the most promising, but it requires significant extensions to meet the listed acceptance criteria. In the following sections we will describe these extensions.

Materials and methods

In the field, the soil sample has unknown composition, texture, and moisture. These values significantly affect the soil spectrum and affect soil classification and fertilizer prediction accuracy. In laboratory experiments, these conditions are known and held constant. However, to classify an unknown soil sample, some additional soil parameters must be recorded. These are the relative soil viscosity, the temperature, the value PH and the DC resistivity. These values are used to pre-select a reference database for the classification algorithm. The resulting classification algorithm is then significantly improved. These improvements mean that the soil database of known chemical parameters must be expanded to include the listed parameters. Figure 3 shows the flow-chart of the classification algorithm procedure. Figure 4 shows a simplified schematic of the soil impedance spectrometer Application Specific Integrated Circuit (ASIC). It consists of a mixed-signal design of the front-end electronics, a programmable clock generator to excite the soil sample, and the signal processing unit to calculate the impedance’s real and imaginary parts. Figure 5 shows the simplified interface diagram between the ASIC of the soil impedance spectrometer and the processing unit, like a personal computer or similar. Soil samples are collected from 0-30 cm soil surface and then prepared in the laboratory for characterization and classification. The soil samples were air-dried and sieved 2 mm. They were then mixed with the required amount of Deionized (DI) water to obtain a soil mass with the required viscosity. The amount of DI water is different for each soil and is estimated automatically. A certified laboratory performed a chemical analysis of all soil samples in the Agriculture Institute of Slovenia (KIS) [4]. The comprehensive characterization of each soil sample contains information on all common soil constituents, and only the analyzed nutrients are listed in Table I. Reading and storing the imaginary and real parts of signals corresponding to a soil sample or reference circle is performed using Matlab software. The Matlab script is created to read the controller Analog to Digital Converter (ADC) data and store it in a personal computer or database for further processing.

Data preprocessing is performed to calibrate the obtained imaginary and real parts of soil impedance with the imaginary and real parts of the reference circuit impedance. This procedure is necessary to ensure accurate data acquisition. The reference circuit signals for the final sensor design are measured only once and used to correct other signals acquired with this sensor. We use the corrected signals corresponding to the soil samples to calculate the impedance magnitude and impedance phase. A training set for machine learning is formed from the research dataset measurements corresponding to soil with known chemical properties of phosphorus, potassium and magnesium. The research dataset consists of impedance strengths and impedance phases corresponding to a soil sample. The chemical analysis of soil sample properties performed at KIS includes nutrient values for phosphorus, potassium and magnesium. Tables 2&3 and Figure 6 show the principles of soil sample code formation. Following the fertilizer planning recommendations, the A-E classification was used for each soil component (e.g., phosphorus, potassium, and magnesium). These classification components are then combined to form a XXX code for classifying and predicting the soil properties under test.

The training process includes the feature selection procedure [5] and classification using the so-called “classifier”. Many classifiers have been proposed in the literature that performs classification with different degrees of accuracy. A comparative analysis was performed to select the classifier with the best results (i.e., the best match between the predicted nutrient content and the actual nutrient content determined at the KIS). The classification accuracy was validated using the leave-one-out method [6]. Only soil samples with known chemical properties were used in this validation (i.e., training set). Three subsamples represent each soil sample to allow more accurate analysis. First, a soil subsample corresponding to the measurement from the research dataset was used as a test sample, while the others were used for machine learning (i.e., training set). Then, the obtained prediction is compared with the actual soil properties (i.e., KIS code). This procedure is performed for all data from the research dataset. The results obtained for three subsamples of the same soil are averaged and used to calculate the overall classification accuracy. In other words, the percentage of predicted characteristics that match the certified laboratory characteristics is used to characterize classification accuracy. Taking three or more measurements of the same soil sample is typical in agricultural informatics to obtain a more accurate and representative result. The procedure for calculating the classification accuracy is shown in Figure 7, where the process is illustrated graphically. During the feature extraction procedure, the signal frequencies with the most relevant information for classification are selected separately for impedance magnitudes and impedance phases. Several feature selection methods are described in the literature. The Principle of Component Analysis (PCA) is selected here as one of the most common and useful [7]. An example of the classification accuracy obtained when the feature selection procedure was used and when the feature selection was not used can be seen in Table IV. It shows a significant performance improvement of the classifiers with feature selection even in the problematic soil sample without using the pre-selection feature introduced in the proposed novel classifier. Figure 8 shows the estimated weights for impedance variables according to the research dataset. The threshold value Th=0.2 is used to reduce features with a small impact on classification accuracy. Thus, 13 features were extracted. Table V shows the frequencies and their indexes obtained during feature selection. The obtained frequencies are then used for both machine learning and test signal properties prediction. Tree Bagger [8] was selected as the most promising classifier. Tree Bagger chooses a random subset of predictors for each decision partition as in the random forest algorithm. The outputs of the classifier are model parameters that are unique to each research dataset. These parameters are estimated once and then used to predict the chemical properties of the soil under study. Table VI shows the classifiers selected for comparative analysis in this research.

Results

Table 4 shows the results of the prediction accuracy of the soil sample codes for the research dataset consisting of 21 soil samples collected from different locations in Slovenia with different textures and chemical properties. The feature selection procedure for this dataset estimated five frequencies with weighting parameters greater than Th=0.2. We can see different classification accuracies between the results, with Tree Bagger and Fitcecoc showing the best performance. The least accurate result was obtained using the k- Nearest Neighbor method (i.e., Fitknn). These results are quite acceptable as they have an accuracy of almost 90%. Knowing that the soil sample does not have representative nutrient contents, we can rely on the reasonable assumption that the fertilization schedule is calculated at many points in the studied field since the soil classification is extremely fast. Consequently, the field is mapped in terms of nutrients with a grid sufficient to determine a reliable average fertilizer rate and the proper mix to improve fertility near optimum.

Discussion

The goal of the presented study was to develop an optimized classification algorithm and a portable classifier that can predict the content of nutrients in the soil in a short time. Mapping the soil’s nutrient content on a particular plot is no longer an expensive and time-consuming affair with this device. The fertilization schedule can be automated with a Global Positioning System (GPS) controlled metering device on the farm tractor. The described soil prediction was tested on five different farms on three plots. The analysis was carried out twice a year under different weather conditions and soil moisture. The test sites were selected to represent the diversity of the Slovenian landscape. The first selected farm was located in the NW (North-West) of Slovenia. The soil there is not very fertile, but it was managed for growing seasonal vegetables with a well thought out crop rotation. The second farm is located in SE (South-East) of Slovenia. The soil there is poor and neglected, very muddy and difficult to analyze. The location of the third farm is on the eastern border of Slovenia. The crop there is grown in large plastic tents with automatic irrigation and ventilation. The fourth farm is located in the eastern part of Slovenia. The analysis was carried out on three different vineyards. The soils were clay type and challenging to analyze. The additional feature of the algorithm helped to overcome this and provided the correct prediction. A very similar problem was found in a vineyard in the central-eastern part of Slovenia. Again, the new prediction algorithm proved to be correct.

Conclusion

This paper describes an improved method for determining the electrical impedance spectrum of soil that provides a reliable, robust, and cost-effective tool for characterizing the soil fertility of an agricultural field and for developing an optimal fertilization plan. This project’s result is a portable device for analyzing the soil’s electrical impedance spectrum and characterizing it based on the spectrum data. The system is battery powered. It also allows for direct wireless data transmission. The results were verified in several farms with different soil types. An acceptable probability of correct soil class prediction was achieved. Since the prediction algorithm is based on the principle of self-learning, the probability of correct prediction increases with the growth of the learning data set. We believe that the sophisticated methods described in [9] are not required to achieve such results. 

Artificial Intelligence System for Value Added Tax Collection via Self Organizing Map (SOM)- Juniper Publishers

  Forensic Sciences & Criminal Investigation - Juniper Publishers Abstract Findings:  Based on our experiments, our approach is an effec...