{"title":"Healing Emotions Through Philosophical Thinking","authors":"Jeonghoon Um","doi":"10.23954/.v5i1.2191","DOIUrl":"https://doi.org/10.23954/.v5i1.2191","url":null,"abstract":"AbstractManifesting in diverse forms, mental and emotional health problems within the contemporary society have proven challenging to current biomedical healing practice and thereby remain a significant threat to individuals’ welfare. Considering the complexity of human emotions, ailing members of the society remain susceptible to adverse health implications accountable to poor emotional wellbeing. Spawning across diverse cultures with further support from narrative and explorative philosophies, the presence of body, spirit, and mind remains acknowledged as a fundamental foundation of human beings. The study adopts a theoretical approach to research and subjects base eligible base literature to the Creswell data spiral for addressing the primary research problems. Through a concrete inclusion criterion, a total of 46 studies and corporate reports are explicitly explored within the exploration. The organization of information under themes indicates the imperative role of a myriad of holistic healing approaches in appraising the emotional and psychological welfare of individuals. Findings indicate that the adoption of philosophical reasoning remains critical in capacitating of hurt individuals to use their natural body resources in healing. Philosophical perspective allows for inner integration, balance and synchrony with nature such that the healing process emanates from within and further accentuates to natural healing. In essence, the integration of the mind, body and spirit holds the capacity to appraise the natural healing process in the quest to improve an individual’s welfare. Future explorations should concern with the integration of the holistic approaches within the contemporary medical practice for proximal health benefits.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"164 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76551371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. R. Monteiro, Adriele R. Santos, Marcos Vieira da Silva, A. R. Rudke, Iara de Melo Rodrigues, Eliane Sloboda Rigobello, Márcia Regina Ferreira Geraldo Perdoncini
{"title":"Evaluation of the Antimicrobial Activity of Buriti (Mauritia Flexuosa) Pulp Extracts","authors":"C. R. Monteiro, Adriele R. Santos, Marcos Vieira da Silva, A. R. Rudke, Iara de Melo Rodrigues, Eliane Sloboda Rigobello, Márcia Regina Ferreira Geraldo Perdoncini","doi":"10.2174/1874256401911010089","DOIUrl":"https://doi.org/10.2174/1874256401911010089","url":null,"abstract":"Department of Food Engineering, Campo Mourão Campus (UTFPR-CM), Federal Technological University of Paraná, via Rosalina Maria dos Santos, 1233, CEP 87301-899, Campo Mourão-PR, Brazil Farroupilha Federal Education, Science and Technology Institute, Alegrete, Rio Grande do Sul, Brazil Laboratory of Thermodynamic and Supercritical Technologies (LATESC), Chemical and Food Engineering Department, Federal University of Santa Catarina, EQA-UFSC, CEP 88040-900, Florianópolis-SC, Brazil","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75457282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. K. Dzokoto, Bruce Kpen, I. Adam, Anokye Akwasi Baafi
{"title":"Risk factors for hypertension among Ghanaian: Evidence from Ghana demographic and health survey","authors":"M. K. Dzokoto, Bruce Kpen, I. Adam, Anokye Akwasi Baafi","doi":"10.23954/osj.v4i1.2199","DOIUrl":"https://doi.org/10.23954/osj.v4i1.2199","url":null,"abstract":"Background: Hypertension is considered an important challenge in public health due to its high risk of cardiovascular disease, kidney disease and death. Despite interventions aimed at reducing the prevalence of hypertension, it still remains the leading cause of stoke and other related diseases and it accounts for 12.8% of all deaths worldwide. The goal of this paper is to explore factors that influences hypertension among men in Ghana. Knowledge of these factors will help public health practitioners provide targeted interventions which will result in a significant reduction of hypertension among the population.Methods: Data source is a survey aimed at collecting data on the indicators of the millennium development goals. Hypertension was the main outcome. Socioeconomic status (primary exposure variable) as well as other potential determinants were assessed. Analytic techniques included multiple Poisson regression that assessed the effects of potential covariates on hypertension in a hierarchical manner. Crude and adjusted prevalent rate ratios are reported with their corresponding 95% confidence intervals at 5% level of significance.Results: The overall prevalence rate of hypertension among Ghanaian men is 8%. Age was found to be a significant predictor of hypertension. Wealth index is also a significant predictor of hypertension with men in levels 4 and 5 more likely to develop hypertension compared to those belonging to level one after adjusting for other covariates. Men with secondary education were 23% more likely to develop hypertension compared to those with higher education, however those with no formal education were 32% less likely to develop hypertension compared to those with higher education after adjusting for other covariates. After adjusting for other covariates, professionals/technical/managerial workers were 35% more likely to be hypertensive compared to those engaged in farming. Men who visited some health facility within the last six months preceding the study were more likely to be hypertensive against those who did not visit any health facility within the same period. Hypertension is more prevalent among parents who lost two or more children compared to parents who were not bereaved. After adjusting for confounders, men with two or more lifetime partners were 13% more likely to be hypertensive as against those with only one lifetime partners.Conclusion: The rate of hypertension in Ghana is high. Factors such as age, wealth index, occupation, bereavement and number of lifetime partners are significant predictors of hypertension after adjusting for potential covariates.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85498306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bhahat Lawlley Zimba, Jiang Hao, Chen Li, L. Yaomin, Yu Xunzhi, Chen Chang, Wang Jiangling, Qingzhi Wu
{"title":"Preparation and characterizations of three-dimensional porous collagen/graphene oxide/hydroxyapatite nanocomposite scaffolds for bone tissue engineering","authors":"Bhahat Lawlley Zimba, Jiang Hao, Chen Li, L. Yaomin, Yu Xunzhi, Chen Chang, Wang Jiangling, Qingzhi Wu","doi":"10.23954/osj.v4i1.2123","DOIUrl":"https://doi.org/10.23954/osj.v4i1.2123","url":null,"abstract":"Studies have reported that the incorporation of graphene oxide (GO) and hydroxyapatite (HA) into biocompatible polymers (such as collagen (Col), chitosan, alginate, etc) results in enhanced structural and mechanical properties respectively. The objective of this study was to prepare and characterize three-dimensional (3D) porous Col/GO/HA nanocomposite scaffolds and to investigate cytocompatibility and osteogenic differentiation potential of rat bone marrow mesenchymal stem cells (rBMSCs) on the as-prepared scaffolds. The SEM images revealed that the scaffolds were porous with the pore diameter inversely proportional to the concentration of HA. XRD results were able to depict the characteristic peaks for HA which shows that HA was incorporated into the scaffolds. The rBMSCs which were cultured on the scaffolds were able to attach and proliferate during the 21 days of the experiment which indicates that the as-prepared scaffolds are cytocompatible. The Alizarin red staining demonstrated the presence of calcium deposits as there were orange-red stains on the samples after culturing the cells using the osteogenic differentiation medium. These results demonstrate the promising potential of the 3D porous Col/GO/HA nanocomposite scaffolds for applications in bone tissue engineering.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78653724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Perceptual Learning Styles Characteristics of EFL Learners","authors":"Nafi Annury","doi":"10.23954/osj.v4i1.2160","DOIUrl":"https://doi.org/10.23954/osj.v4i1.2160","url":null,"abstract":"AbstractThe recent study aimed to assess the EFL learners perceptual learning styles which can be defined into three components: such as visual, auditory, and kinesthetic style one. Students had to know their kinds of learning preferences so that it made them aware of their competencies as well. This research was conducted through a descriptive quantitative approach. This means that the data were collected not only in the form of numbers, and it described narratively. The collected data were taken through Perceptual Learning Styles questionnaires, documentation, and observation. The results of this study were that among twenty-four participants of EFL learners, there were kinesthetic learning styles more dominant among visual and auditory ones. The students of the ELT program at UIN Walisongo Semarang tended to study by various kind of learning. Teachers should be aware of their students’ condition. By knowing the students’ awareness of their perceptual learning styles, it would provide learners more easily to learn, and they would be successful learners (Annury, 2016). [2]Keywords: perceptual learning styles, EFL Learner ","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81280885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The calibration of the hailpads upon the Greek National Hail Suppression Program, using the Classical and Inverse Regression methods","authors":"K. Tsitouridis","doi":"10.23954/osj.v4i1.1893","DOIUrl":"https://doi.org/10.23954/osj.v4i1.1893","url":null,"abstract":"The hailpad, constructed from a plate of Styrofoam, is a simple instrument for recording hailfall. In addition to simply recording the hailfall, calibration of the instrument is required to obtain quantitative measurements of the hail. The calibration is a process leading to a calibration equation, a polynomial establishing a relationship between the diameter of a hailstone and the dent the hailstone is left on the surface of the hailpad. A hailpad network, consisted of 154 instruments, has established inGreece, in the context of the Greek National Hail Suppression Program operating for the protection of the agricultural cultivations from hail damage. For the calibration of the haipads of the network the well known “Energy Matching technique” has adopted and the Inverse Regression method is applied from the beginning for the obtainment of the calibration equation. In the present study along with the Inverse Regression method hitherto applied, the Classical Regression method is examined and presented and inferential statistics are also introduced in both methods in order to establish a more stringent statistical procedure for the calibration of the hailpads. After the theoretical analysis the data from a calibration experiment were analyzed, calibration models obtained using both methods of regression, hail diameters were predicted with the two models when new observations were available and the results compared to each other. The comparison of the two models' predictions showed that the results are almost the same so there is no good reason to replace the hitherto Inverse Regression method. However, it would be good to introduce the Classical Regression method alongside the Inverse. In addition, prediction bands for both methods should be introduced giving to the results the range of the confidence interval of the predictions.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81356079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting Theropod Hunting Tactics using Machine Learning.","authors":"Matthew Millar","doi":"10.23954/osj.v4i1.1820","DOIUrl":"https://doi.org/10.23954/osj.v4i1.1820","url":null,"abstract":"The use of machine learning in different fields is becoming a more common practice thanks to Big Data and better granularity in data being collected. The application of machine learning to animal behavioral pattern analysis is becoming more popular due to the increase in size, types, and quality of data that can be gathered. Machine learning can even be used to predict the actual behavior of animals based off of certain features. This approach can also be used for predicting the behavior of extinct animals. This paper is the goal is to explore the possibility of using machine learning techniques to predict the hunting habits of dinosaurs based solely off of physical characteristic of the animal. By using the biomechanical features, a model can be created to aid in the classification of animals into either a scavenger or hunter roles. The results from the test show that there is a strong correlation between the physical characteristics and potential hunting habits. The models used here can then be used as a good baseline in predicting other theropods based solely on their bodies. The T-Rex was used as the test subject and was correctly classified as a primary hunter in most of the models.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85096371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementing Trauma Focused-Cognitive Behavioral Therapy for Youth under Probation: Lessons Learned","authors":"M. Pangilinan","doi":"10.23954/osj.v4i1.2012","DOIUrl":"https://doi.org/10.23954/osj.v4i1.2012","url":null,"abstract":"OBJECTIVE: The implementation of Trauma Focused Cognitive Behavioral Therapy (TF-CBT) for youth under probation is underresearched. Since a TF-CBT project implementation goal was not met, the author aimed to address the following questions: What were the unaddressed barriers to TF-CBT participation and completion? What factors could have significantly impacted TF-CBT completion? Were the positive outcomes of TF-CBT on the project's proposed measures confirmed? The author likewise aimed to capture the lessons from this project’s implementation.METHOD: Review of administrative documents focused on project set-up, flow of participation and TF-CBT completion to identify the barriers. Chart reviews included data for 54 out of 60 TF-CBT participants. Three TF-CBT youth groups were identified. TF-CBT with: no in vivo (C7, n = 12); four to six TF-CBT components, including trauma narration (C4-6, n = 13); and one to four components in phase I of TF-CBT (C1-4, n = 29). All statistical tests were set at p < .05. Groups were compared on demographics, pre-TF-CBT trauma and functioning, assessment and treatment services, justice involvement, and services satisfaction. Outcome measures were change scores on the UCLA Post Traumatic Stress Disorder Reaction Index, Youth Outcome Questionnaire and youth arrests.RESULTS: The unaddressed barriers could very well be due to youth’s low disclosure and development of trust and therapist’s skills. Significant between-groups difference in parental involvement (χ2 = 6.08, p < .05) and number of trauma events experienced (F = 3.58, p < .05); and significant decrease in overall trauma symptom scores before and after TF-CBT participation with a very large effect size in group C7 (t = 3.73, p < .001, d = 1.08) were found.LESSONS LEARNED: The therapists were possibly viewed by the youth as part of the police system (which justice involved youth likely do not trust). Future implementations must seriously consider: the need for sufficient training of therapists; waiving program eligibility requirements; the value of a coherent communications protocol, clinical quality review and management, early assessment of services satisfaction, and information on families of justice involved youth; and, tracking behaviors that are incompatible with those that warrant arrests. ","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84859194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Rediscovery of Donkey's Milk as Healthy Food for Different Life Stages","authors":"M. Martini","doi":"10.2174/1874256401911010087","DOIUrl":"https://doi.org/10.2174/1874256401911010087","url":null,"abstract":"Donkey milk has been traditionally used by humans since ancient times. Nowadays, it is being increasingly studied and the number of papers published on main academic databases (Scopus; ISI; Web of Knowledge) more than tripled in the last ten years; about one-third of these articles come from Europe. The interest for this milk is associated with an increase in the number of dairy farms and an increase in consistency of some donkey breeds that in the past suffered a critical decrease in numbers. Currently, donkey milk is directly sold on the farm as raw milk or is available on the market as pasteurized, UHT, and milk powder. There are also several registered patents related to donkey milk powders, fermented product, and cosmetic preparations.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84298922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review of Current Methods for Re-Identification in Computer Vision.","authors":"Matthew Millar","doi":"10.23954/osj.v4i1.2141","DOIUrl":"https://doi.org/10.23954/osj.v4i1.2141","url":null,"abstract":"The problem of reidentification of a person in multiple cameras is a hot topic in computer vision research. The issue is with the consistent identification of a person in multiple cameras from different viewpoints and environmental conditions. Many computer vision researchers have been looking into methods that can improve the reidentification of people for many real-world purposes. There are new methods each year that expand and explore new concepts and improve the accuracy of reidentification. This paper will look at current developments and the past tends to find what has been done and what is being done to solve this problem. This paper will start off by introducing the topic as well as covering the basic concepts of the reidentification problem. Next, it will cover common datasets that are used in today's research. Then it will look at evaluation techniques. Then this paper will start to describe simple techniques that are used followed by the current deep learning techniques. This paper will cover how these techniques are used, what are some of their weaknesses and their strengths. It will conclude with an overview of some of the best models and show which models have the most promise and which models should be avoided.","PeriodicalId":22809,"journal":{"name":"The Open Food Science Journal","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82252955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}