Miracle-dz/UniFAR-FTUs huggingface dataset:
“Webside” healthcare from medical interns' perspective: Telemedicine implementation and need for training

BACKGROUND: Telemedicine involves the use of electronic communication and technology to remotely deliver clinical services to patients. With the increase in the adoption of telemedicine in healthcare delivery, “webside healthcare” is becoming the virtual analog of bedside care. The Ministry of Health in Saudi Arabia has recently established the use of telemedicine, including social media (SM) and medical applications (Apps) to enhance the quality and accessibility of healthcare services to patients and healthcare providers. In the present study, we evaluated medical interns' perception of the use of telemedicine, SM, and medical Apps in patient care, their awareness of related guidelines to find out if targeted training is needed. MATERIALS AND METHODS: A qualitative study recruited and interviewed, through semi-structured key informant (KI) interviews and focus group discussions (FGD), a total of 24 male and female medical interns. The Interns were purposefully sampled from all Saudi Arabia's 5 main geographical regions until data saturation was observed. The transcripts of five KI interviews and 6 FGDs done were thematically analyzed and are presented as themes and subthemes. RESULTS: Medical interns discussed the advantages and disadvantages related to telemedicine, SM, and medical Apps in healthcare services. Overall, interviewees appreciated the role telemedicine, SM, and medical Apps play in the healthcare and for such particular specialties as family medicine and (tele-) psychiatry. However, the interns believed that training on the technical operational aspects of different telemedicine modalities with an emphasis on targeted education for related ethical and legal regulating guidelines was vital. CONCLUSION: Most interviewed medical interns had a positive perception of telemedicine and were willing to use it in their daily clinical practice. However, there were some challenges to its successful implementation such as prompt training on its proper use and clear ethical and legal guidance.
Robotic Path Planning by Q Learning and a Performance Comparison with Classical Path Finding Algorithms

—Q Learning is a form of reinforcement learning for path finding problems that does not require a model of the environment. It allows the agent to explore the given environment and the learning is achieved by maximizing the rewards for the set of actions it takes. In the recent times, Q Learning approaches have proven to be successful in various applications ranging from navigation systems to video games. This paper proposes a Q learning based method that supports path planning for robots. The paper also discusses the choice of parameter values and suggests optimized parameters when using such a method. The performance of the most popular path finding algorithms such as A* and Dijkstra algorithm have been compared to the Q learning approach and were able to outperform Q learning with respect to computation time and resulting path length.
Assessment Models of the Main Indicators Characteristic of Farms in Europe

Both the European Green Deal and Sustainable Development Goal 2 - Zero Hunger, highlight the importance of sustainable food systems as a key element for sustainable economic growth, a healthy population and the protection of the environment (European Commission, 2021). In this context, the analysis of quantitative indicators specific for the agricultural sector and the farm provides a realistic picture of the evolution of farms in Europe in 2005 vs. 2016. However, a qualitative analysis of farms is also needed, as sustainability focuses on quality. Given that it is essential to quantify both quantitatively and qualitatively the progress made in agriculture, with a focus on agricultural holdings, the objectives of this paper are: a) to identify the evolution regarding farms for each Member State of the European Union; and b) to signal the risks related to the states that are below the European average regarding the analysed indicators. This paper contributes to the studies carried out in this field through models for assessing the progress of farms in Europe and the unique set of indicators analysed. According to the study, the states that have made the most significant progress in terms of the number of farms, the output measured in Euro and the number of farms whose household consumes more than 50% of final production in 2016 are (1) Romania and (2) France.
Engineering cell-substrate interactions on porous membranes for microphysiological system.

Microphysiological systems are now widely used to recapitulate physiological and pathological microenvironments in order to study and understand a variety of cellular processes as well as drug delivery and stem cell differentiation. Central to many of these systems are porous membranes that enable tissue barrier formation as well as compartmentalization while still facilitating small molecule diffusion, cellular transmigration and cell-cell communication. The role or impact of porous membranes on the cells cultured upon them has not been widely studied or reviewed. Although many chemical and physical substrate characteristics have been shown to be effective in controlling and directing cellular behavior, the influence of pore characteristics and the ability to engineer porous membranes to influence these responses is not fully understood. In this mini-review, we show that many studies point to a multiphasic cell-substrate response, where increasing pore sizes and pore-pore spacing generally leads to improved cell-substrate interactions. However, the smallest pores in the nano-scale sometimes promote the strongest cell-substrate interactions, while the very largest micron-scale pores hinder cell-substrate interactions. This synopsis provides an insight into the importance of membrane pores in controlling cellular responses, and may help with the design and utilization of porous membranes for induction of desired cell processes in the development of biomimetic platforms.
A New Zebrafish Model to Measure Neuronal α-Synuclein Clearance In Vivo

The accumulation and aggregation of α-synuclein (α-SYN) is a common characteristic of synucleinopathies, such as Parkinson’s Disease (PD), Dementia with Lewy Bodies (DLB) or Multiple System Atrophy (MSA). Multiplications of the wildtype gene of α-SYN (SNCA) and most point mutations make α-SYN more aggregate-prone, and are associated with mitochondrial defects, trafficking obstruction, and impaired proteostasis, which contribute to elevated neuronal death. Here, we present new zebrafish models expressing either human wildtype (wt), or A53T mutant, α-SYN that recapitulate the above-mentioned hallmarks of synucleinopathies. The appropriate clearance of toxic α-SYN has been previously shown to play a key role in maintaining cell homeostasis and survival. However, the paucity of models to investigate α-SYN degradation in vivo limits our understanding of this process. Based on our recently described imaging method for measuring tau protein clearance in neurons in living zebrafish, we fused human SNCA to the photoconvertible protein Dendra2 which enabled analyses of wt and A53T α-SYN clearance kinetics in vivo. Moreover, these zebrafish models can be used to investigate the kinetics of α-SYN aggregation and to study the mechanisms, and potential new targets, controlling the clearance of both soluble and aggregated α-SYN.
Įmonių bankroto prognozavimas naudojant gilųjį mokymą

Šiame straipsnyje pristatomi sukurti giliojo mokymosi modeliai skirti įmonių bankroto prognozavimui. Tyrimo metu, naudojant Lietuvos įmonių duomenis, sukurti du modeliai: daugiasluoksnis perceptronas ir konvoliucinis neuroninis tinklas. Modelių apmokymui ir hiperparametrų validavimui, buvo naudojami subalansuoti duomenų poaibiai. Siekiant įvertinti modelių gebėjimą atskirti bankroto atvejus išbalansuotoje duomenų aibėje, modelių testavimui buvo naudojamas poaibis, kuriame buvo išlaikytas pradinio duomenų rinkinio klasių disbalansas. Gauti rezultatai parodė, kad sukurti giliojo mokymosi modeliai atpažįsta bankroto atvejus duomenų aibėje su dideliu klasių disbalansu.
Soil moisture thresholds explain a shift from light-limited to water-limited sap velocity in the Central Amazon during the 2015–16 El Niño drought

Transpiration is often considered to be light- but not water-limited in humid tropical rainforests due to abundant soil water, even during the dry seasons. The record-breaking 2015–16 El Niño drought provided a unique opportunity to examine whether transpiration is constrained by water under severe lack of rainfall. We measured sap velocity, soil water content, and meteorological variables in an old-growth upland forest in the Central Amazon throughout the 2015–16 drought. We found a rapid decline in sap velocity (−38 ± 21%, mean ± SD.) and in its temporal variability (−88%) during the drought compared to the wet season. Such changes were accompanied by a marked decline in soil moisture and an increase in temperature and vapor pressure deficit. Sap velocity was largely limited by net radiation during the wet and normal dry seasons; however, it shifted to be primarily limited by soil moisture during the drought. The threshold in which sap velocity became dominated by soil moisture was at 0.33 m3 m−3 (around −150 kPa in soil matric potential), below which sap velocity dropped steeply. Our study provides evidence for a soil water threshold on transpiration in a moist tropical forest, suggesting a shift from light limitation to water limitation under future climate characterized by increased temperature and an increased frequency, intensity, duration and extent of extreme drought events.
Comprehensive Analysis of the Expression and Prognosis for RAD51 Family in Human Breast Cancer

Purpose The RAD51 family of genes, including RAD51 and the five RAD51-like paralogs (RAD51B, RAD51C, RAD51D, XRCC2, and XRCC3), are known to be crucially associated with DNA damage repair pathway. Increasing evidence indicated that RAD51 family members were implicated in breast cancer tumorigenesis. However, their biological roles and prognostic values in breast cancer have yet to be clarified. Methods In this study, by using the Oncomine and GEPIA databases, we explored the transcriptional levels of RAD51 family members in breast cancer. Besides, the associations between RAD51 family expression and clinical features were evaluated by using the UALCAN database and Kaplan–Meier (KM) Plotter. We also analyzed the mutations of the RAD51 family and differentially altered genes from the cBioPortal database. Results We found that RAD51 mRNA was significantly elevated in breast cancer samples than in normal tissues, while XRCC2 mRNA was downregulated. Besides, a remarkable correlation was detected between the expression of RAD51/RAD51B/XRCC2 genes and the breast cancer stage. Survival analysis utilizing the KM Plotter indicated that high RAD51 and XRCC3 mRNA was associated with a poor prognosis. Conversely, RFS data suggested that high levels of RAD51B/RAD51C/RAD51D/XRCC2 were associated with a favorable prognosis. Moreover, a high genetic variation rate of RAD51C (7%) was detected in breast cancer patients. Conclusion Conclusively, we implied that RAD51 and XRCC3 might be potential targets for precision therapy in breast cancer and the RAD51B/RAD51C/RAD51D/XRCC2 genes have significant values for breast cancer prognosis.
Nutritional Composition of Wheat, Mushroom (Pleurotus ostreatus) and Unripe Plantain (Musa paradisiaca) Flour Blends

Aims: This research aimed at determining the chemical and nutritional properties of composite flour produced from wheat, mushroom and unripe plantain composite flour in order to explore its potentials in food formulation. Study Design: The experiment followed a completely randomized design. Methodology: Different formulations (86.67:6.67:6.67, 80:0:20 83.33:13.33:3.33, 90:10:0, 90:0:10, 93.33:3.33:3.33, 83.33:3.33:13.33, 80:10:10, 80:20:0 and 100:0:0) were obtained using optimal mixture design of response surface methodology from the blends of wheat, mushroom and unripe plantain. The proximate, mineral and vitamin contents were determined for the formulated samples. The results were further optimized using optimal design of response surface methodology. Results: The values for moisture, ash, protein, fat, fibre, carbohydrate and energy for the flour blends ranged 8.46-11.82%, 0.80-1.87%, 8.65-14.01%, 0.95-4.98%, 0.35-0.59%, 70.04-78.64% and 354.04-381.02 kcal/100 g, respectively. The values obtained for calcium, magnesium, potassium, sodium and iron of the flour blends ranged 26.60-29.95, 0.91-4.05, 1.62-2.01, 80.50-108.14 and 0.88-1.16 mg/100 g, respectively. The values obtained for vitamins B1, B2, B3, B6 and C of the flour blends ranged 150.36-160.60, 7.10-20.25, 6.04-23.92, 7.12-7.23, and 2.02-3.05 mg/100 g, respectively. The two optimum blends that gave overall best results using nutritional compositions as dependent variables were 80:12.68:7.32 and 80:13.21:6.79 (wheat, mushroom and unripe plantain). Conclusion: The result of the proximate and nutritional content showed that the composite flour of wheat, mushroom and unripe plantain flour is a good source of ash, protein, fat, dietary fibre and carbohydrate and relevant in food application especially in the production of baked food products especially in developing countries.
Effects of ergogenic supplements and dietary supplements on young athletes’ performance: A review

Physical exercise is becoming more prevalent in today’s lifestyle and makes physically fit, and promotes different types of development or skills. Athletes rely on sports nutrition supplements: ergogenic and dietary supplements; these supplements fulfill the nutritional requirements, save time and achieve health goals. Many athletes don't have sufficient knowledge related to the safety of using ergogenic supplements. There are various ergogenic supplements used by athletes but excess of these supplements has been linked to major health problems. Dietary supplements are more nutritious and safer than ergogenic supplements. They are not a prescription medicine and to cure illnesses of the athletes.
Fuzzy Comprehensive Evaluation Model of the Farmers’ Sense of Gain in the Provision of Rural Infrastructures: The Case of Tourism-Oriented Rural Areas of China

During the rapid development of rural infrastructures in China, many important issues such as the real wishes of farmers and the proper management of the infrastructure have been overlooked, resulting in a weak sense of gain among farmers. To propose effective improvement strategies, this research aimed to explore the influence mechanism of the farmers’ sense of gain and to build a comprehensive evaluation model of farmers’ sense of gain in the provision of rural infrastructure. To achieve the above aims, we first proposed hypotheses among four constructs and selected an evaluation index for each construct. Using Structural Equation Modeling (SEM) and a questionnaire survey, we then verified the proposed hypotheses and developed a fuzzy comprehensive evaluation model of the farmers’ sense of gain in the provision of rural infrastructure. The results first showed that the content of gain and the way of gain directly affect the farmers’ sense of gain, and the governance indirectly affects the farmers’ sense of gain. Moreover, the way of gain has the greatest impact on the sense of gain, followed by the governance and the content of gain. Furthermore, the analysis results demonstrate that the developed fuzzy comprehensive evaluation model is feasible and effective in evaluating farmers’ sense of gain in the provision of rural infrastructures. The findings of this study first enrich the relevant theories of farmers’ sense of gain in the provision of rural infrastructure. The findings also provide theoretical support for the government authorities to put forward effective governance strategies for rural infrastructure from the perspective of farmers’ sense of gain.
Food Motives in a Visitor Destination: A Study on Domestic Tourist Visit

Objective – Gastronomy has emerged as a critical component in the promotion and development of tourism attractions. The present goal is to understand about satisfaction level of domestic tourists on cuisine in Kolkata region which add to the research literature on the link between cuisine and tourism in the Kolkata region by drawing on the experiences of domestic visitors. Methodology – The technique is based on a questionnaire in quantitative research sent to domestic tourists/ visitors during their stay to Kolkata (Calcutta), the city of joy. Simple random sample was utilised in the study with n= 100, using a 7 (seven) point scale for convenience as population is not quantifiable because there is no statistic available on the actual number of domestic tourists/visitors that visit Kolkata for local food, which creates destination image. As the data are symmetric in nature, the compared t-test was utilised as an inferential statistical tool of parametric test to capture the satisfaction level of domestic visitors before and after consuming local food. Findings – The findings indicate the occurrence of various visitor categories based on their choice of local gastronomy. There are three categories recognised, and the visitors’ reasons for gastronomy vary depending on which section they belong to. Finally, the findings allow us to infer that visitor pleasure varies according to their attitude toward cuisine, as indicated by the three segments. Implications & Conclusion – Tourist engagement has a favourable influence on tourists’ perceptions of Kolkata. Throughout the study, tourists agreed that contact with locals gave them more information about which sights to visit and where to try traditional food. Such engagement fosters cross-cultural understanding and is crucial in the creation of a satisfying visitor experience. It contributes to the tourism stakeholders’ planning and execution in an efficient and effective way.
The relationship between traditional project management, agile project management and teamwork quality on project success

Purpose The aim of the study is to explore how the different combinations of traditional and agile project management (APM) enhance project success under different levels of teamwork quality. Design/methodology/approach The study used system approach, using cluster analysis, to examine the relationships between project success and traditional project management (TPM) and APM under different levels of teamwork quality. A cluster analysis approach provides a method to examine how the entire range of variables combine to improve project success. Findings The results of the study revealed three profiles of project managers’ differences in teamwork quality and type of project management used: pure agile, TPM leaning hybrid and APM (APM) leaning hybrid. The results found evidence that TPM leaning hybrid received the highest score in project success. Practical implications Organizations should develop teamwork skills to learn to use both TPM and APM so that specific risks presented by one approach use are compensated by the use of other. Finally, organizations should have good TPM practices before planning to implement agile practices. Originality/value The findings of this study suggest that TPM with high teamwork quality supported by APM can enhance project success. APM supported by TPM contributes to improved project success.
Synthesis, in vitro and docking studies of 2-substituted 5,6,7,8-tetrahydrobenzo[4,5]thieno[2,3-d]pyrimidine-4(3H)-one derivatives as agents for the treatment of Alzheimer's disease

Alzheimer's disease is a chronic neurodegenerative disease, which is characterized mainly by a progressive decrease in intellectual abilities, memory impairment and a change in a person's personality. Unfortunately, there are practically no medicines that act on pathogenesis of Alzheimer's disease. The development of new highly effective medicines for the treatment of this pathology is an actual area of pharmaceutical research. The aim of this work is to search among 2-substituted 5,6,7,8-tetrahydrobenzo[4,5]thieno[2,3-d]pyrimidine-4(3H)-one effective compounds with an anticholinesterase and an antiamyloid activities. As a result, it was found that compounds 4d, 4e and 4f have the high anticholinesterase ability, which in their structure contain residues of hydroxy-methoxyphenyl fragments. Structures 4c, 4g, 4h, 4j, 4k, 4m, 4n and 4p showed slightly less activity, the effect of which did not differ statistically from that of Donepezil. Compounds 4c, 4e, 4k and 4m have the greatest ability to inhibit the formation of the amyloid, comparable to GV-971. It should be noted that the molecular docking data are consistent with the results of the determination of the anticholinesterase activity of the studied compounds obtained in vitro. Thus, the prospects for future studies of these compounds in the possibility of creating a pharmaceutical active substance for the treatment of neurodegenerative diseases have been revealed.
Engineering Students’ Experiences of Workplace Problem Solving

Workplace problems are different from traditional textbook or classroom problems because they are ill-structured and complex in nature. Research shows that engineers need a wide range of knowledge and skills in order to succeed in workplace problem solving. However, it is unclear how engineering students, who will become professionals in the workplace after graduation, experience real world engineering problem solving. Motivated by a desire to better understand engineering problems and prepare students for engineering practice, this study aims to explore students’ experiences of workplace problems solving. As previous research points out that educational programs such as the Co-Op program provide opportunities for students to observe and experience engineering in the workplace and prepare them with workplace competencies, in this study, we interviewed 22 engineering Co-Op students about their problem solving experiences and explored: what are the different ways in which Co-Op students experience workplace problem solving? In order to answer this question, we conducted a phenomenographic analysis on our interview transcripts to capture the variation in students’ experiences. The analysis results show that students experienced workplace problem solving in six different ways, which are: 1) workplace problem solving is following orders and executing the plan; 2) workplace problem solving is implementing customers’ ideas and satisfying customer needs; 3) workplace problem solving is using mathematical and technical knowledge and skills to solve technical problems; 4) workplace problem solving is consulting different people and collecting their inputs; 5) workplace problem solving is using multiple resources to draw conclusions and make decisions; 6) workplace problem solving is exploration and freedom.