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Oct 2025 DOI 10.14302/issn.3070-2313.jeh-25-5757
The Ames dwarf mice have a recessive mutation of the PROP-1 gene that produces hereditary dwarfism. The abnormality is responsible for an anterior-pituitary deficiency that results in a substantial reduction of growth hormone, thyroid-stimulating hormone, and prolactin. These mice are smaller in size than their normal siblings but live approximately twice as long. The normal siblings do not have the mutation, and therefore still have the typical levels of the three hormones. The purpose of the present research was to determine if the reduced hormones in the Ames dwarf mice affected their ability to learn and delayed the age-related loss of memory. In general, the hypotheses proposed indicate that there will be no significant differences on the tasks in regards to the genotype or the age of the mice. These hypotheses would support previous research and suggest a delay in the age-related loss of memory and the ability to learn in the Ames dwarf mice. Learning was assessed using a matching-to-sample procedure, while memory was evaluated using a modified radial-arm procedure. Generally, the age of the animals had little to do with their performance on any of the tasks. Taken together, the overall results showed no significant differences in accuracy between any of the groups of mice or a behavioral decline as the mice age. The present results are consistent with the theory of a delayed age-related behavioral decline in the Ames dwarf mice.
Mar 2025 DOI 10.14302/issn.2638-4469.japb-25-5395
Plant leaf diseases pose significant threats to crop yield and agricultural sustainability, making early and accurate detection crucial for effective disease management. In current years, deep neural network (DNN) techniques have shown remarkable potential in the field of image classification, including plant disease detection. The study aims to investigate the performance of two popular deep learning architectures, namely, VGG16 and InceptionResNetV2, for the detection of tomato plant leaf disease. The proposed methodology involves acquiring a diverse dataset comprising high-resolution images of healthy and diseased leaves from the target crops. Preprocessing techniques such as image augmentation and normalization are applied to enhance the generalization ability of the models and mitigate overfitting. Transfer learning is employed to initialize the deep learning architectures with weights pre-trained on large-scale image datasets to accelerate convergence and improve the models' performance in limited data scenarios. To evaluate performance of proposed networks various metrics such as validation and test accuracies, precision and recall, F1 score, and the area under the curve (AUC) are considered. From the investigations, the classification accuracy of the finest architectures is as follows: 99.8 percent for VGG16 and 99.4 percent for InceptionResNetV2 on Corn Leaves. The results suggest that the models developed during the investigation phase to identify the leaf disease were superior to any existing Deep Neural Networks (DNNs).
Nov 2022 DOI 10.14302/issn.2644-1101.jhp-22-4273
The purpose of this topic is to add to the body of good teaching and learning that helps create the conditions for more critical thinking and practice skills that enable, keep students interested, and consistently motivate them. Teachers now have a greater focus on implementing motivational learning and studying strategies that are more relevant to the processes of teaching and learning thanks to new methodologies, which have further enhanced instructional strategies for teaching and learning. Positive school cultures that are long-lasting will result from these new methods and strategies. According to the authors, educators have been impacted by evidence-based practice and data-based decision making within the educational system. As a result, there is a growing need for educators to learn more about these resources that are relevant to students and can lead to greater success. These applicable interventions have a positive effect on students, and the information that helps them make decisions increases their response.
Aug 2021 DOI 10.14302/issn.2643-6655.jcap-21-3888
The number of children with SEN is continuously growing, leading to pressure on the few special schools available in the USA. Furthermore, the adoption of a special school system has been criticized on the basis that it isolates and discriminates against children with special educational needs and disabilities. Even though inclusive education can address such limitations, the application of the most appropriate pedagogical approaches for SEN learners is still a challenge. The presented study focused on critically appraising the pedagogical approaches for SEN learners in the 21st century and beyond. In order to achieve this goal, a systematic review of the literature approach was adopted. The literature search process was conducted on three databases: Education Full Text, Linguistics and Language Behavior Abstracts, and PsycINFO. The selection of these databases was influenced by their reputation of hosting high quality and up-to-date literature about special education. The initial literature search process generated 6129 hits, but only ten studies were finally selected for review after the application of inclusion and exclusion criteria. A critical review of the evidence presented in the selected studies generated eight themes describing various pedagogical approaches for special education, within both blended and mainstream learning environment. Knowledge generated in this systematic review can be used by the special education sector of the U.S to develop pedagogical approaches for SEN students, leading to improved performance and social skill development.
Jan 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3718
Currently, many educational practitioners do not agree on how flipped classroom affects students’ learning effect. In order to further explore the impact of flipped classroom on students’ learning effect, this paper conducts a quantitative analysis of some flipped classroom experimental and quasi-experimental studies systematically by means of meta-analysis method. The study finds that the random effect model shows that the combined effect is 0.373, reaching the statistical significance level, which indicates that flipped classroom has moderate positive effect on improving students' learning effect. There is no significant difference in the effect of flipped classroom on the learning effect of different subjects and stages, but the effect on primary school students is weaker. Significant differences in the effect on learning outcomes among different knowledge types have been found, and specifically, the flipped instruction is good for the study of practical knowledge, but has less influence on theoretical knowledge learning. Therefore, in the application of flipped classroom, it is necessary to pay attention to the characteristics of different learning objects and types of knowledge, and flipped classroom teaching cannot be used too much in primary school and the teaching of theoretical knowledge during the coronavirus disease 2019 epidemic.
Apr 2020 DOI 10.14302/issn.2641-5526.jmid-20-3302
Data Mining is a process of exploring against large data to find patterns in decision-making. One of the techniques in decision-making is classification. Data classification is a form of data analysis used to extract models describing important data classes. There are many classification algorithms. Each classifier encompasses some algorithms in order to classify object into predefined classes. Decision Tree is one such important technique, which builds a tree structure by incrementally breaking down the datasets in smaller subsets. Decision Trees can be implemented by using popular algorithms such as ID3, C4.5 and CART etc. The present study considers ID3 and C4.5 algorithms to build a decision tree by using the “entropy” and “information gain” measures that are the basics components behind the construction of a classifier model
Jul 2017 DOI 10.14302/issn.2574-612X.ijpr-17-1543
Our own long term experiences as clinical teachers among undergraduate medical students have generated the interest to investigate the plausible connection between students’ study orientation and their learning experiences in small groups.The objective of the study was to assess the hypothesis whether learning in small groups may contribute to study motivation. Participants were 52 undergraduate medical students (10-12 in each group) in the primary health care course between 1st and 5th year during the spring term 2012. The questionnaires used were the Inventory of General studies (IGSO) for study orientation and IQ questionnaire for group learning. The data were analyzed by Bayesian network modeling. In this study, the application used was the Bayminer (www.BayMiner.com) non-linear visualization modeling software. Positive atmosphere in a small group increases study motivation and commitment and predicts mutual trust and gives space to new ideas, where contradictive views can raise interesting discussions. Based on Bayesian modeling it seems that the experience of motivational problems in the present studies may be an indicator of study alienation and connected with the perception of small group dysfunctionality.
Dec 2025 DOI 10.14302/issn.2641-4538.jphi-25-5886
Objective Diabetes poses significant public health challenges, with many individuals remaining undiagnosed and at risk of complications. This study aimed to evaluate the performance of decision tree ensemble methods for predicting diabetes onset using the Framingham Heart Study Teaching Dataset and to explore sex-specific risk patterns relevant to AI-driven interventions. Methods We analyzed data from 11,627 participants, incorporating demographics, vital signs, smoking status, medication use, and laboratory measures. Random Forest classifiers were developed to predict diabetes incidence at approximately 6-year (Period 2) and 12-year (Period 3) follow-ups. Class imbalance was addressed using undersampling, oversampling, and the Synthetic Minority Over-sampling Technique (SMOTE). Results The models demonstrated robust performance, achieving an Area Under the Curve (AUC) of 0.856 in Period 2, and moderate predictive ability in Period 3 (AUC = 0.732 in males, 0.786 in females). Key predictors included glucose level, BMI, systolic blood pressure, age, and heart rate. Notably, differences emerged in predictive accuracy between men and women, suggesting potential sex-specific vulnerabilities that merit further study. Conclusion Machine learning approaches, particularly Random Forests, show promise for medium- and long-term diabetes risk prediction, supporting early identification and intervention efforts. Future work should focus on hyperparameter tuning and explainability techniques, such as SHapley Additive exPlanations (SHAP) values, to improve model precision, interpretability, and fairness. Equity-focused strategies remain critical to ensure AI-driven tools benefit diverse populations and do not exacerbate existing disparities in diabetes care.
May 2024 DOI 10.14302/issn.2470-5020.jnrt-24-5100
Exploring the dynamic dimension of functional connectivity in dementia, this article departs from traditional static studies to capture the ever-changing brain networks. Investigating temporal connectivity patterns yields valuable insights into disease progression, individualized treatment, and early intervention. Additionally, the concept of cognitive reserve, therapeutic interventions, and machine learning integration are pivotal in revolutionizing dementia research and care.
May 2024 DOI 10.14302/issn.2998-4122.jlr-24-4985
Despite a large number of studies examining syntactic features that are predictive of second language (L2) writing quality, assessed by human raters at the university level, few have systematically investigated this link using a large set of indices in the foreign language learning (EFL) classroom context. The current study sought to determine the extent to which a variety of syntactic complexity and sophistication indices are associated with and may predict writing quality by analyzing 30 argumentative essays written by undergraduate EFL students in an Ethiopian university classroom setting. To represent syntactic complexity as a multidimensional construct, we used conventional absolute measures, fine-grained clausal and phrasal indices, and newly proposed sophistication indices related to the use of verb argument constructions (VACs) indexed by TAASSC (Tool for the Automatic Analysis of Syntactic Sophistication and Complexity; 17. Essays were graded, and five separate predicted models of writing quality were created utilizing each complex feature index and all of the measures. Robust predictors of writing quality were identified at both syntactic complexity and sophistication dimensions. Regression analyses showed that the combined model including both fine-grained clausal complexity and VAC-based indices could account for 53.6% of the variance (the largest amount of variance in the study) in writing scores. The finding indicates that the inclusion of diversified adverbial modifiers and nonfinite clauses such as modal auxiliaries controlled by less frequent verbs were predictive of higher-quality writing. These findings shed light on some characteristics of L2 learners' writing growth and enable us to draw pedagogical implications for teaching and assessing writing in the Ethiopian EFL context.
May 2024 DOI 10.14302/issn.2998-1506.jpa-24-5058
Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and targeted herbicide application are essential to avoid economic losses. Recent advancements in unmanned aerial vehicles (UAVs) and artificial intelligence (AI), offer promising solutions for early weed detection and management, improving efficiency and reducing negative environment impact. The integration of robotics and information technology has enabled the development of automated weed detection systems, reducing the reliance on manual scouting and intervention. Various sensors in conjunction with proximal and remote sensing techniques have the capability to capture detailed information about crop and weed characteristics. Additionally, multi-spectral and hyperspectral sensors have proven highly effective in weed vs crop detection, enabling early intervention and precise weed management. The data from various sensors consecutively processed with the help of machine learning and deep learning models (DL), notably Convolutional Neural Networks (CNNs) method have shown superior performance in handling large datasets, extracting intricate features, and achieving high accuracy in weed classification at various growth stages in numerous crops. However, the application of deep learning models in grass weed detection for wheat crops remains underexplored, presenting an opportunity for further research and innovation. In this review we underscore the potential of automated grass weed detection systems in enhancing weed management practices in wheat cropping systems. Future research should focus on refining existing techniques, comparing ML and DL models for accuracy and efficiency, and integrating UAV-based mapping with AI algorithms for proactive weed control strategies. By harnessing the power of AI and machine learning, automated weed detection holds the key to sustainable and efficient weed management in wheat cropping systems.
Feb 2023 DOI 10.14302/issn.2643-2811.jmbr-22-4302
The Gas Turbine operation was investigated with a view to evolving a system designed to provide a realistic imitation of the controls and operation of a Gas Turbine, used for training purposes. Operator Training Simulator has been widely adopted by many industries being a computer simulation which attempts to model a real-life plant so that it can be studied. A well trained and skilled operator is key in increasing power plant safety and productivity. Therefore, enabling quality training for operators is becoming more important as they need to handle increased load of information and duties whereas the lack of training is a major reason for inadequate performance. By changing variables in the simulator, predictions are made about the behaviour of the engine. It is a tool to virtually investigate the behaviour of the system while in operation. This work becomes indispensable because it is prohibitively expensive or simply too dangerous to allow trainees use the real equipment in a power plant. The Gas Turbine operation’s simulator is born from Object Oriented Programming, employing key programming languages. The simulator design focused on specific tasks in the operation of the Gas Turbine which include; startup, synchronization and monitoring of vital parameters like vibration, temperature, pressure, and angle of the Inlet Guide Vane. The statuses of various valves, pumps and motors as well as the Performance of actuators and the response of concatenated components are also being tracked. The simulator was found to effectively mimic a real plant life. With this simulator, trainee operators in Gas Turbine can spend time learning valuable lessons in a "safe" virtual environment yet living a lifelike experience. This will go a long way in minimizing operators’ error in GT power plants, thereby curtailing power outages and conserving power plant components.
Mar 2022 DOI 10.14302/issn.2471-7061.jcrc-22-4139
We examined special roles of the Central Nervous System (CNS) in an attempt to resolve the puzzle that chronic diseases cannot be cured in medicine. By exploring a skill-learning model, we found that the CNS is able to remember certain information reflecting biochemical and cellular (B&C) processes in the body. From the skill-using ability, we found that the CNS is able to control basic B&C processes that drive and power the skill. From the ability to adjust forces and moving direction of body parts, we infer that the CNS is able to adjust B&C processes that control physical acts. From this controlling capability, we inferred that the CNS must also store certain information on the baseline B&C processes, is able to up-regulate or down-regulate the B&C processes, and make comparisons in performing its regulatory functions. We found that chronic diseases are the results of deviated baseline B&C processes, the CNS plays a role in maintaining deviated baseline B&C processes, and protects the body state of a fully developed disease. The three CNS roles can explain that cancer progresses with increasing malignancy, cancer quickly returns after a surgery, cancer cells repopulate after chemotherapy and radiotherapy, cancer patients develop drug resistance inevitably, immune cells rebound after suppression, etc. We further showed that long-term exercises generally can correct part of the departures in B&C processes and thus help to reverse chronic diseases. Finally, we propose strategies for resetting the CNS’ state memory as an essential condition for curing chronic diseases and cancer.
Mar 2022 DOI 10.14302/issn.2692-1537.ijcv-22-4115
Background Cameroon is battling against the novel coronavirus (COVID-19) pandemic. Although several control measures have been implemented, the epidemic continues to progress. This paper analyses the evolution of the pandemic in Cameroon and attempts to provide insight on the evolution of COVID-19 within the country’s population. Methods A susceptible-infected-recovered-dead (SIRD)-like model coupled with a discrete time-dependent Markov chain was applied to predict COVID-19 distribution and assess the risk of death. Two main assumptions were examined in a 10-state and 3-state Markov chain: i) a recovered person can get infected again; ii) the person will remain recovered. The COVID-19 data collected in Cameroon during the period of March 6 to July 30, 2020 were used in the analysis. Results COVID-19 epidemic showed several peaks. The reproductive number was 3.08 between May 18 and May 31; 2.75 between June 1 and June 25, and 2.84 between June 16 and June 24. The number of infected individuals ranged from 17632 to 26424 (June 1 to June 15), and 28100 to 36628 (June 16 to June 24). The month of January 2021 was estimated as the last epidemic peak. Under the assumption that a recovered person will get infected again with probability 0.15, 50000 iterations of the Markov chain (10 and 3- state) demonstrated that the death state was the most probable state. The estimated lethality rate was 0.44, 95%CI=0.10%-0.79%. Mean lethality rate assuming ii) was 0.10. Computation of transition probabilities from reported data revealed a significant increase in the number of active cases throughout July and August, 2020, with a mean lethality rate of 3% by September 2020. Conclusion Multiple approaches to data analysis is a fundamental step for managing and controlling COVID-19 in Cameroon. The rate of transmission of COVID-19 is growing fast because of insufficient implementation of public health measures. While the epidemic is spreading, assessment of major factors that contribute to COVID-19-associated mortality may provide the country’s public health system with strategies to reduce the burden of the disease. The model outputs present the threatening nature of the disease and its consequences. Considering the model outputs and taking concrete actions may enhance the implementation of current public health intervention strategies in Cameroon. Strict application of preventive measures, such as wearing masks and social distancing, could be reinforced before and after the opening of learning institutions (schools and universities) in the 2020/2021 calendar year and next.
Feb 2022 DOI 10.14302/issn.2692-1537.ijcv-22-4101
Medical education has been extraordinarily disrupted during the COVID-19 era worldwide. The pandemic limited routine ward or patient-based medical education. These limitations have resulted in new challenges for medical students, especially the final year students in completing their mandated curriculum. We are suggesting a revised curriculum for final year medical students, by following which we can address COVID restriction while making sure all competencies have been achieved by students. This revised curriculum centers around the usual placement of students in Surgical Assessment Unit (SAU), however all students will be posted in simulation wards/labs on their turn to enhance and consolidate their understanding and learning of common surgical cases in these wards, so that they can replicate these skills in SAU and wards on their turns. This article highlights how the proposed curriculum addresses the learning needs of final year medical students in their surgery rotation. The article will also summarize the critical appraisal process of our curriculum in the context of curriculum design theories. Finally, the article will highlight the quality assurance measures adhered to while developing the curriculum.
Dec 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3670
Purpose This paper assess the impact of COVID-19 pandemic on Education, Staff development and Training in Africa. Online Research Methodology/Approach The data use in this paper was generated from online survey questionnaire, in which the participants were asked about certain questions in which covid-19 affect their social-economic situation. The questionnaire was design to help Africa to understand covid-19 impacts on their social and economic live. Results The results of this study reveal that coronavirus pandemic affected Africa in a number of ways; 1) 52.2 percent of the respondents said they should open school now in Africa, while 47.8 percent fear they should not open schools 2) 81 percent said before educational institution are closed there is public or official announcement that institutions must be closed due to pandemic—may be 3 months, ……,,…,, one week it depends on the severity of how covid-19 is spreading across the regions in Africa, 10.7 percent of the respondent said it may be and only 8.3 percent said it is not official announced.3) 65.4 percent of the respondents said government implemented an education response for continue of learning in Africa while educational institutions are closed 4) 61.5 percent said use of online/digital learning platform is the method for continuity of learning is currently available for children affected by closures of educational institutes provided by government, while 50 percent said television, radio, or podcast broadcast and 17.9 percent said assigning reading and exercises for home study. 5) 45.3 percent out of 100 percent said use of online or digital learning platform are the proportion of children affected by education institution closure. 38.7 percent said the proportion of children affect are the one that concentrate of using television, radio or podcast broadcasts to get academic content. 14.7 percent of the respondents are the proportion of the children affected by educational institute closure if they are assigning reading and exercises for home study. 6) 52.6 percent of the respondents from non-government organization, private schools said use of online or digital learning platform is the method for continuity of learning is currently available for children affected by closures of educational institutes, while 61.5 percent said use of online/digital learning platform is the method for continuity of learning is currently available for children affected by closures of educational institutes provided by government. The same thing government said as well. Similar respondents from government as do the non-government or private schools and 35.9 percent respondent said television, radio and podcast broadcast are method for continuity of learning is currently available for children affected by closures of educational institutes-provided by non-governmental organization, private schools etc, whereas 50 percent of the respondents said assigning reading and exercises for home study is the method for continuity of learning is currently available for children affected by closures of educational institutes-provided by government.7) 48.1 percent of the respondents said for the impact of covid-19 pandemic on staff development and training that their enterprise or organization partially suspended operation due to the pandemic and 34.2 percent of the responded said they completely suspended operation because of coronavirus pandemic and 16.5 percent said no closures on in operation for staff development and training because of pandemic. 8)According to the results of this question of the online survey, 49.3 percent said the challenges their enterprise face in delivery staff training programmes and activities using online learning or offline learning during covid-19 was due to infrastructure issues such the problem associated with internet and the like. The survey of the study also confirmed that 32.9 percent twice said limited digital skills of trainers and cost of staff training was a major setback to train staff in their enterprise or organization or department or establishment while 30.1 percent said it is due to limited digital literacy of users are the main challenges face by their department in order to train staff. Policy Implications The implication of the results from this online survey is that it has serious impacts on education closure and staff development and training. As educations are closed due to covid-19 pandemic, it will affect already problems of human capital that are hampering the development of Africa. Due to covid-19 pandemic, the achievement of sustainable development goals on quality education will be seriously halted. The government and the ministry in Africa should work hand in hand to solve the problems of children affected by schools closure after the pandemic by either additional hours or provide more study hours for schools to catch-up with what happened during the pandemic, the study noted. Originality/value The impact of covid-19 on education, staff development and training.
Dec 2020 DOI 10.14302/issn.2577-2279.ijha-20-3634
The hippocampus is involved in learning and memory processes, an integral component of cognitive function. The aim of this study is to assess the efficacy of quercetin on manganese-induced neurotoxicity in the hippocampus of the adult mice. In this study, 40 adult mice of average weight of 18 –29g were randomly distributed into five groups of eight each. The brain was harvested and the region of the hippocampus was grossed for histological and immunohistochemical analysis. The results revealed a significant increased level of oxidative stress markers of manganese treated mice when compared with the normal control and quercetin treated animals (p<0.05). Immunohistochemical analysis also showed a decrease expression of Tumour necrosis factor alpha (TNFα) with quercetin treated animals when compared with manganese treated animals indicating its neuroprotective function. In addition, quercetin treated animals all had an improved working spatial memory in Y-maze test. The histological results also revealed a degeneration of pyramidal cells with a characteristic pyknotic activities at the granular layer of the hippocampus leading to neuronal integrity damage following chronic exposure to manganese but normal architectural design was however maintained with quercetin. Conclusively, exposure to manganese in excess may have adverse effect on extensive neuronal degeneration that could affect the learning, memory and possibly spatial navigation ability of miceand quercetin attenuates this induced neurotoxicity via inhibition of oxidative stress and reduction of TNF expression.
Oct 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3597
An opinion piece argues that coherent medical concepts should guide pandemic response over political narratives. It stresses evidence-based decision-making, transparent risk communication, and iterative learning guided by clinical evidence.
Jun 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3404
A commentary on remote education challenges during COVID‑19 in Brazil. It covers equity, infrastructure, teacher training, and student engagement, proposing pragmatic steps to support learning continuity.
May 2020 DOI 10.14302/issn.2692-5257.ijgp-20-3335
The consultation is the activity of meeting and communication between an individual and the doctor for the knowledge and solution of a health problem. In today's busy world of general medicine, constant demands for the general practitioner (GP) arise: she or he should not only make a diagnosis not only should make a differential diagnosis during consultation, but must also establish a good relationship, explore patient ideas, concerns and expectations and negotiate a management plan, taking into account limited resources, the quality framework and results, having Information technology skills, plus, the need to promote health during any consultation. Normally the GP has only 10 minutes to achieve all that, as well as to manage your own emotions, agendas and uncertainty. In this way, novice doctors may find it difficult to move in this situation of complexity, and they can also observe a gap in the literature that really guides them in practice. Rigorous preparation is the key to success for many endeavours. Some tips to perform an efficient and safe consultation work in general medicine are suggested: 1) Focus on the next patient; 2) Preparing the consultation before entering the patient, memorizing the patient's previous history; 3) Establishing a connection with the patient; 4) Remembering the elements that must be in each consultation (the current reason, update other previous processes, chronic diseases and continued attention, "case finding", health promotion); 5) Striking a balance between empathy and assertiveness; 6) Putting in writing and contextualized the clinical record; and 7) Making reflection-safety questions, learning questions, and preparation questions for the next visit. Rigorous preparation is the key to success for the general practitioner in every consultation. Think about these topics of the consultation before doing it, and after it, prepare the next consultation of that patient. All these things are force multipliers.
Nov 2019 DOI 10.14302/issn.2379-7835.ijn-19-3083
Background In November 2014, the World health Organization (WHO), in collaboration with United Nations Children's Fund (UNICEF), and the World Food Programme, produced interim guidelines (iGL) on providing nutritional support to patients in Ebola treatment units (ETUs). They have been translated into French and issued by the Ministry of Health, UNICEF and WHO in adapted versions to be used in the current outbreak in the Democratic Republic of the Congo (DRC). This paper evaluates the use and usefulness of the 2014 iGL in the West Africa and current DRC Ebola virus disease (EVD) outbreaks and identifies experiences and lessons learned from practitioners on the operational aspects of nutritional care and support in ETUs. Methods Key-informants (n=26), from 12 organizations (Non-Governmental Organizations, United Nations, Red Cross Red Crescent Movement) were interviewed who were actively engaged in the nutritional and/or clinical care of EVD patients. Results There was a consensus among key-informants that the 2014 iGL initially served a guiding purpose. However, the vast amount of learning from the 2014-2016 and current EVD outbreaks indicates that the interim guidelines need to be revised. Practitioners struggled to find operational solutions for nutritional care, and the challenges were plentiful, especially regarding 1) the different perceptions of the importance of nutritional care among ETU staff; 2) the difficulties around food preparation and distribution for EVD patients; 3) how to take into account the patients’ dietary preferences; 4) the nutritional care needed in relation to specific EVD symptoms; 5) who assumed roles in nutritional care in ETUs; 6) if and how feeding support was organized; 7) whether malnutrition needed to be addressed and how; and 8) whether the intake of specific nutrients could contribute to improved treatment outcomes. Information from the key-informants interviews resulted in numerous lessons learned and recommendations for nutritional support during current and future outbreaks. Conclusions This investigation underscored the importance of documenting experiences of practitioners on nutritional care in emerging infectious diseases for which limited scientific evidence exists and for which interim guidelines are produced to fill in knowledge gaps. It also emphasized the importance of nutritional care in ETUs during treatment.
Jul 2019 DOI 10.14302/issn.2577-2279.ijha-19-2976
An educational essay frames human anatomy as foundational to medicine and surgery, highlighting learning modalities and integration with imaging and simulation.
Apr 2019 DOI 10.14302/issn.2379-7835.ijn-19-904
Background To date, no research has explicitly examined children’s knowledge and consumption of fluids at school, particularly during times of exercise (physical education (PE)). Methods Between May and July, 2018, 322 (213 females, 104 males; mean age = 8 years 5 months, SD ± 2 years 1 month) elementary school children from Ireland (n=237) and England (n=85) completed a questionnaire on their understanding of fluid intake and how much they perceived they drank on days when they did/did not participate in PE. Results Younger (<9 years) English children were most thirsty at the end of the school (68%), compared to younger and older (≥9 years) Irish children who were most thirsty after (38% <9 years; 39% ≥9 years) or during (21% < 9 years; 21% ≥9 years) PE. In both countries for <9 year olds, similar amounts were consumed on days when they did, and did not, partake in PE with 41% of all participants reporting intakes below daily guidelines. No child, of any age, was correct at predicting what their fluid intake should be on days when they took part in PE. Conclusion Young children in England and Ireland do not understand fluid recommendations, especially the increased need for fluid on days when they partake in PE. Further objective research is needed to ascertain whether actual fluid intake in children matches perceived intakes and whether the structure of the school day, and intensity levels of PE lessons, influence these intakes. Additional research needs to gauge the importance of the teacher and how they are a key influencer in supporting children in their learning of how, why and when to drink.
Mar 2019 DOI 10.14302/issn.2640-690X.jfm-19-2726
Background Research has demonstrated that partners living alongside veterans with mental health difficulties are at high risk of developing mental health difficulties themselves and secondary trauma. A variety of interventions have been developed to support partners. Research to date has relied on quantitative methodologies to evaluate the efficacy of such interventions with less emphasis on learning about the experiences of individuals on the courses. Objective The aim of this qualitative paper was to understand the experiences of partners who engaged in a five-week structured support intervention, ‘The Together Programme’ (TTP) which had been piloted across UK cities. This programme involved tailored psycho educational materials adapted to the needs of veteran’s partners living alongside PTSD. Further the potential mechanisms of change for participants engaged with the programme were explored as well as the impact of treatment on their relationships. Methods Eight female partners were recruited from an original sample of 57 partners who were intimate relationships with treatment seeking veterans with mental health difficulties. These participants had completed TTP. Qualitative data was collected using a semi structured interview and explored using Interpretative Phenomenological Analysis. Results Three key themes emerged from the data, these were self-growth, changing role in relationships and connecting with others. The themes included several sub themes. Self-growth sub-themes were mastering the ‘inner judge’, ‘confidence in ability to cope’ and ‘taking care of my needs’. Changing role in relationship sub-themes were ‘acceptance and understanding’ and ‘improved communication in relationship’. Connecting with others was described by the sub-themes of ‘knowing I am not alone’, ‘peer support’ and ‘hope’. Conclusions This study suggeststhere were three key areas where thestructured evidence-based support programme had an impact on participants experiences. These were factors that helped participants to normalise their experiences and increase participants understanding and interpersonal skills that promote changes in relationship functioning with the veteran.
Dec 2018 DOI 10.14302/issn.2641-5526.jmid-18-2488
Background: Triple Negative Breast Cancer (TNBC) is a type of breast cancer with very bad prognosis. Predicting the histological grade (HG) and the lymph nodes metastasis is crucial for developing more suitable treatment strategies. Methods: We present the main clinical and pathological variables to predict the histological grade and lymph nodes metastasis via novel machine learning techniques. These variables are currently being used for prognosis and treatment in medical practice. This analysis was performed using a database of 102 Caucasian women diagnosed with TNBC. The results were cross-validated using random simulations of this dataset. Results: HG was predicted with an accuracy of 93.8% using a list of 6 prognostic variables with significant implications: Ki67 expression, use of Oral contraceptives, Col11A1 expression, Col11A1 score, E-cad truncated and Tumor size. The lymph nodes metastasis was predicted with an accuracy of almost 85% using only 6 prognostic variables: Vascular invasion, Tumor size, Perineural invasion, Age at diagnosis, Ki67 expression, and Col11A1 score. This analysis also served to establish the median signatures of the groups with and without lymph node metastasis, and proved the existence of a kind of small-size tumors (around 2.15 cm) with lymph node metastasis but not showing vascular and perineural invasions and higher protein Col11A1 score. Besides, these signatures proved to be very stable. Conclusions: The additional information conveyed by the prognostic variables found in these two classification problems provides new insight about the genesis and progression of this disease and can be used in medical practice to improve decisions in patient diagnosis and further treatment.
Nov 2018 DOI 10.14302/issn.2642-3146.jec-18-2416
Wind turbines are often perceived as benign. This can be attributed to the population majority dwelling in urban locations distant from most wind turbines. Society may understate the risk to individuals living near turbines due to an overstatement of the perceived benefits of turbines, and an understatement of the risk of injury from falling turbine parts, or shed ice. Flaws in risk calculation may be attributed to a less than fully developed safety culture. Indications of this are the lack of a comprehensive industry failure database, and safety limits enabling the industry growth, but not protective of the public. A comprehensive study of wind turbine failures and risks in the Canadian province of Ontario gives data to enable validation of existing failure models. Failure probabilities are calculated, to show risk on personal property, or in public spaces. Repeated failures, and inadequate safety separation show public safety is not currently assured. A method of calculating setbacks from wind turbines to mitigate public risk is shown. Wind turbines with inadequate setbacks can adversely impact public health both directly from physical risk and indirectly by irritation from loss of safe use of property. Physical public safety setbacks are separate from larger setbacks required to prevent irritation from noise and other stressors, particularly when applied to areas of learning, rest and recuperation. The insights provided by this paper can assist the industry to enhance its image and improve its operation, as well as helping regulators set safety guidelines assuring protection of the public.
Sep 2018 DOI 10.14302/issn.2689-2855.jan-18-2342
This study was devoted to the learning of the use of nanotechnology to correct the functional activity of red blood cells (RBCs) at the storage stages at a positive temperature. It was established that saline NaCl, which had previously been processed by magnetite nanoparticles (ICNB) had a marked membrane-stabilizing effect, inhibits hemolysis and increasing the sedimentation stability of preserved RBCs. The complex analysis of the obtained data allowed to determine the primary mechanisms effect of the saline NaCl, which had previously been processed by ICNB on the preserved RBCs. The proposed method of additive modernization of preserved RBCs was adapted to the production process. The optimization results were obtained in creating a simple and practical method of additive modernization of preservation solutions that does not violate the compliance requirements, improves the quality, efficiency and safety transfusion of RBCs.
Aug 2018 DOI 10.14302/issn.2474-3585.jpmc-18-2178
Several studies examine the musculoskeletal pain (MSP) in university students sustaining physical load as part of their compulsory learning. However, only two somewhat outdated cross-sectional studies examine the physical education teacher (PET) students. This study aimed to explore the neck, shoulder and low back MSP prevalence in Greek PET students in a series of academic years. The Nordic Musculoskeletal Questionnaire was used to record the past 12-month neck, shoulder and, low back pain, across three academic years (n = 479). The year association to MSP prevalence was examined with the cross-tabulation analysis (using the column proportion test for the year comparison) and, the gender association to MSP prevalence with the χ2 test (SPSS 22.0, p ≤ 0.05). The year association to MSP prevalence was not significant (p > 0.05). The overall prevalence was 67.6%, with multiple pain at 25.7% and, the low back presenting the highest prevalence (40.9%). Women reported a higher prevalence of neck (36%) and low back (47%) pain (p ≤ 0.05). The majority of pain and time loss duration was 1-7 days. The low back required higher medical attention (19.0%) than the neck (9.2%) and the shoulder (12.9%). The recurrent pain was at 30%, with the previous injury/accident rate at 5.8%, 14.4% and 14.6% for the neck, shoulder and low back. Our PET students present an alarming MSP prevalence. Due to their distinct work demands as PE teachers, entering working life with the healthiest possible musculoskeletal system is of critical importance. Thus, university authorities should consider strategies for the prevention of MSP risk.
Mar 2018 DOI 10.14302/issn.2639-3166.jar-18-1987
The scientific and technological interventions for attaining precision in plant genetics and breeding since Mendel’s discovery of genetic laws have been critically reviewed in terms of cloning technology and reverse genetics, chip technology, genetically modified organisms and CRISPR-based gene editing technology. Their roles in further refining the plant genetics and breeding practices particularly their exploitation in creating variations and their use for development of superior genotypes in model crops like wheat and rice have been discussed. It is stressed how such interventions could prove to be promising for meeting future crop improvement program in terms of climate change, bio-fortification, imaging technology, statistics, big data revolution and deep learning.
Dec 2017 DOI 10.14302/issn.3066-8042.jac-17-1693
Individuals with ADHD may benefit from assistive technologies (ATs). ATs include FM systems, MontivAIDR, Time Aids, iSelfControl and Kurzweil. Eligibility for acquiring these ATs is discussed first. The importance of eligibility is highlighted because the review of the literature suggests that these ATs may promote academic success among students with ADHD. Unfortunately, most of the research on the efficacy of ATs is directed at learning disabilities. Consequently, a review of ATs that support students with learning disabilities is provided with the overarching goal to encourage researchers to determine how ATs that support students with learning disabilities may also support students with ADHD. Finally, we discuss the ways in which ATs can maintain their efficacy over time for students with ADHD through the implementation of a Response to Intervention (RTI) framework. Concluding remarks will follow.
Dec 2017 DOI 10.14302/issn.2997-2086.jfs-17-1846
Introduction: Data support the use of both ultrasound (US) and magnetic resonance imaging (MRI) in the prenatal prognostication of congenital diaphragmatic hernia (CDH). The aim of this study was to examine our experience and learning curve with both of these diagnostic tools in the setting of a new fetal program. Materials and Methods: This is a case series performed as a quality improvement measure. Fetuses were identified at a single tertiary institution with both ultrasound lung-to-head ratio (LHR) and MRI fetal lung volume from December 2012 until July 2016. Prenatal and postnatal data were collected. Statistical analysis was performed and a p-value of <0.05 was considered significant. Results: Twenty-one patients met inclusion criteria. Inaccurate LHRs were found in 26.9% (7/26) of patients, with the lack of a four-chamber heart view as the most common inaccuracy (5/26, 19.2%). Patients with only some or no stomach in the thoracic cavity on fetal MRI had 100% survival to discharge. Discussion: Accurate prenatal prognostication of CDH is challenging. We identified a pitfall in attaining LHR that can be easily identified, and that may influence the accuracy of the measurement. Furthermore, stomach position on MRI is a relatively newly described quick, easy, and reproducible metric for predicting prognosis.
Jul 2016 DOI 10.14302/issn.2381-862X.jwrh-16-1060
The low level of women autonomy and the key pre disposing factors affecting household decision makings among many population groups in Ethiopia is not well understood among scholars, and is less investigated. This study examined the status and the micro level factors associated with women autonomy in Sidama, the most populous zone in Southern Ethiopia. A simple random sampling technique (using the available complete listing of households) was used to select the 231 sample households from one of the districts of the zone. Sidama zone was selected due to its historically strong customs of patriarchal family system. Quantitative and qualitative data were obtained using structured questionnaire and focus group discussions. Household, women and husband characteristics were used as explanatory variables while women autonomy index, developed from a set of questions, served as the dependent variable. The study revealed that women’s decision makings on core household and personal issues were very low in the study population. The predicted probability, using Ordinary Least Square Regression shows that women’s education, alcohol intake by husbands, household size and land size were the main determinants of autonomy in decision makings in the study area. The study recommended that concerned bodies should capitalize on educating women and girls through both formal and informal learning platforms, promote income generation activities through entrepreneurship, increased access to property and economic assets, training, microfinance and markets.
Feb 2014 DOI 10.14302/issn.2328-0182.japst-13-206
The purpose of this study was to investigate the effect of cremophor RH-40 and polysorbate 80 with hydroxypropyl methylcellulose (HPMC) F4M on the development of formulations of intranasal erythropoietin with low sialic acid content (Neuro-EPO) as a neuroprotective agent. Parameters such as pH, osmolality, apparent viscosity, and protein concentration were controlled for minimizing the differences between formulations. All Neuro-EPO formulations showed similar behaviour in the physicochemistry quality control. However significant differences between formulations were observed in the permanent unilateral ischemia model. The formulations and the vehicles containing cremophor RH-40 showed higher neurotoxicity levels than those containing polysorbate 80 as a nonionic surfactant. Formulations containing HPMC F4M at 0.6% as a bioadhesive polymer showed higher levels of survival and better neurological status than those without the polymer. The formulations with polysorbate 80 and HPMC F4M showed a higher index of survival, smaller incidence of clinical signs of stroke, and similar behavior in the learning and the memory to the false injured animals used as control. These findings suggest that the intranasal pathway constitutes a safe and alternative route of access of the Neuro-EPO to the brain.