Miracle-dz/UniFAR-FTUs huggingface dataset:
No evidence of a relationship between regular physical exercise and cardiac interoception

Cardiac interoception, the ability to sense and process cardiac aﬀerent signals, has been shown to improve after a single session of acute physical exercise. However, it remains unclear whether repetitive engagement in physical exercise over time leads to long-term changes in cardiac interoceptive accuracy and neural activity associated with the processing of aﬀerent cardiac signals. In this study, we aimed to investigate this hypothesis through two cross-sectional studies, categorizing participants as high or low ﬁt based on physical ﬁtness (Study I) or self-reported physical activity levels (Study II). Interoception was assessed using the Heart-Evoked Potential (Studies I and II), the Heartbeat Counting task (
Session-based Course Recommendation Frameworks using Deep Learning

Academic advising plays an important role in students’ decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to be explored is the suitability of the recommended courses taken together in a semester. Students may face more difficulty coping with the workload of courses if there is no relationship among courses taken within a semester. To address this problem, we propose to employ session-based approaches to recommend a set of courses for the next semester. In particular, we test two session-based recommendation models, CourseBEACON and CourseDREAM. Our experimental evaluation shows that session-based meth-ods outperform existing popularity-based, sequential, and non-sequential recommendation approaches. Accurate course recommendation can lead to better student advising, which, in turn, can lead to better student performance, lower dropout rates, and better overall student experience and satisfaction.
The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time Fluctuation

In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner’s current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners’ performance. Logistic regression for knowledge tracing has been used widely in modern learner performance modeling. Notably, the learning history included in such models is typically confined to learners' prior accuracy performance without paying attention to learners’ response time (RT), such as the performance factors analysis (PFA) model. However, RT and accuracy may give us a more comprehensive picture of a learner’s learning trajectory. For example, without considering RT, we cannot estimate whether the learner’s performance has reached the automatic or fluent level since these criteria are not accuracy based. Therefore, in the current research, we pro-pose and test new RT-related features to capture learners’ correct RT fluctuations around their estimated ideal fluent RT. Our results indicate that the predictiveness of the standard PFA model can be increased by up to 10% for our test data after incorporating RT-related features, but the complexity of the question format constrains the improvement during practice. If the question is of low complexity and the observed accuracy of the learner can be influenced by guessing, which results in the imprecision measured by accuracy, then the RT-related features provide additional predictive power. In other words, RT-related features are informative when accuracy alone does not completely reflect learners’ learning processes.
Guardians of Time: P16INK4A's Role in Age-Related Cellular Senescence

: The p16INK4a regulator is a reliable biomarker for aging that is suppressed during early embryogenesis and gradually induced throughout the aging process. Its involvement in determining cell fate contributes to aging, and its expression pathways align with those of early development, suggesting that the decline of developmental pathways may be the primary driver of aging, with damage serving as a secondary factor. Aging results in decreased functionality and increased vulnerability to death, which is the main risk factor for major human diseases. This review explores the multifaceted function of P16INK4A, shedding light on the intricate molecular mechanisms that underlie its impact on cellular senescence and its broad implications for age-related diseases. The complex interaction between P16INK4A and the senescence-associated secretory phenotype (SASP) is also discussed, revealing its effects on tissue homeostasis. The article presents a compelling perspective on the therapeutic potential of interventions targeting P16INK4A, which not only hold the promise of slowing down the aging process but also offer the opportunity to mitigate age-related diseases. Through its examination of P16INK4A's role, this article presents a captivating narrative that highlights the remarkable ability of science to unravel the mysteries of aging and potentially reshape our understanding of the guardians of time.
The Role of computer aided Diagnosis (caD) in medical Imaging

Objectives: We introduce the various methods of image analysis used for CAD. In addition, we provide a guide for the clinician through examples which use the CAD. methods: Medical images consist of individual pixel elements, to which discrete brightness or color values are assigned. Various methods have been utilized for the analysis of these images. We introduce the five methods: shape analysis, texture analysis, parametric mapping analysis, classification methods and segmentation methods. Results: Various image analysis techniques used in the CAD are quantified by analyzing the various features of the lesion shown in the image. It is used as a process for deriving the best diagnosis for the disease through the comparison of the existing data. It proposes an example of a CAD system being studied using a variety of image analysis techniques. conclusion: Nowadays, medical imaging has improved to show the functional state of the inner body. Furthermore, accelerated advances in computer-based technology have widely enlarged efficiency of saving, transmission and analysis. Improvement of CAD will expand the utilization range of CAD in 2D and 3D medical imaging. Also, we expect that CAD system will evolve the automatic diagnosis support system.
lndomethacin for prevention of heterotopic ossification after hip arthroplasty A randomized comparison between 4 and 8 days of treatment

In a randomized, parallel group study, we evaluated the efficacy of a 4-day versus an 8-day course of indomethacin (50 mg, 3 times per day), given as prophylaxis against heterotopic ossification after formation. cementless total hip arthroplasty in 209 patients with arthrosis. Patients receiving the prophylaxis for 8 days had less (p = 0.03) severe heterotopic bone
Influence of subcutaneously administered lysine-vasopressin, chlorodiazepoxide in behavioral tests

Abstract The aim of the study presented here was to determine the influence of subcutaneously administered lysine-vasopressin (LVP, 1 U/kg, s.c.), chlorodiazepoxide (BDZ, 20 mg/kg, i.p.), and vehicle (veh, chlorobutanol + saline (0.85%) + Tween 80, 0.1 mL/100 g) administered through the peritoneum on anxiety-related-behavior using the Vogel conflict test, the elevated plus-maze test (EPM) and the marble-burying test. The results of the Vogel test referring to the number of shocks received by rats after administration of vehicle + BDZ was highly significant (p < 0.01), that is, the animals did not show any inhibition during the phase of shock. However, when LVP + BDZ were used the data obtained showed that there was a significant inhibition of BDZ action on the number of shocks received (p > 0.05). In the second phase of the test the veh + BDZ group received a significant number of shocks, benzodiazepine effect and the group receiving LVP + BDZ showed the same result as the vehicle + LVP group (p > 0.05). In the elevated plus-maze (EPM), the group of mice treated with veh + BDZ showed no significant change in their behavior, that is, number of entries and time spent on the open arm was not inhibited (p < 0.01). Already the veh + LVP group has shown inhibition in the number of entries and the time spent on the open arm (p > 0.05). The same result was obtained when the LVP + BDZ group was used in the EPM. In the marble-burying test, the number of marbles hidden was significantly higher in mice treated with the veh + BDZ (p < 0.01). The group treated with veh + LVP presented a small number of hidden spheres (p > 0.05). The data obtained in this study show that LVP in behavioral tests related to anxieties presents an inhibitory action on the BDZ, and the LVP alone does not present any significant effect when compared with the veh (p > 0.05). Veh is the shortened form of vehicle which is the chemical element (solvent) used for dilution of the compound test.
The Use of Educational Games in High School Chemistry Learning in West Java Province

: The implementation of games in chemistry classes has provided an interesting and alternative teaching method and allows students to learn in a more entertaining way compared to traditional learning process. The game-based learning approach is divided into three approaches, namely game-based learning or educational games, gamification, and game-assisted learning. Many chemistry games have been constructed in recent years to review and strengthen various chemistry topics; therefore, it is expected that Chemistry teachers in high schools in Indonesia, especially in West Java province implement educational games in the learning process. For that reason, it is necessary to perceive an overview of the use of educational games in Chemistry learning in secondary schools in West Java province. Survey research was carried out using a random sampling technique. There were 99 chemistry teachers from 91 high schools spread across the province of West Java who voluntarily participated in the online survey. The result of the analysis obtained that 35% of chemistry teachers in the province of West Java have implemented gamification and learning using game assistance. On the contrary, game-based learning has never been implemented in Chemistry learning process in secondary schools in West Java province.
E ﬀ ect of short-term grazing exclusion on herbage species composition, dry matter productivity, and chemical composition of subtropical grasslands

: Grazing exclusion (GE) is a useful management technique for restoring degraded grasslands. The herbage mass productivity and chemical makeup in the grazing-excluded subtropical grassland environment has, however, received little attention. A subtropical riverine grassland was selected to determine the e ﬀ ect of GE on herbage mass productivity and chemical composition in Nepal. In three successive harvesting times from September to November 2020, the herbage was sampled along the six randomly selected transects of 100 m length and at two treatments (GA: Grazing-allowed and GE: Grazing-excluded plots) at three di ﬀ erent times of harvest from a 1,000-ha grassland. A total of 108 herbage cut samples were collected from the individual 1 m × 1 m quadrats at the three harvests, respectively, from the GA and GE plots. Fences were used to maintain the GE plots to avoid grazing to prevent the vegetation altered by grazing. Day before herbage sampling, the functional groups, cover-abundance within the sampling quadrats were investigated. By cutting the fresh herbage 5 cm above the ground and subjecting it to oven drying for laboratory examination, the herbage mass productivity within each quadrat was measured. Using established laboratory procedures, the chemical analysis of herbage was evaluated for its proximate, ﬁ bre, and mineral contents. The results of the study demonstrated that GE signi ﬁ cantly increased grass species than other-forbs, other-graminoids, and legumes, respectively, and increased dry matter productivity, which could be seen by an increase in leaf stem ratio, tiller productivity, increased coarseness ( ﬁ brous content), total ash, calcium (Ca), and phosphorus (P), but with a decreased nonstructural carbohydrate, and the concentrations of ether extract and crude protein. Research results also con ﬁ rmed that GE increases herbages ’ ﬁ brousness and productivity, though the herbage quality, intake, and digestibility decline. It further demonstrates that grazing is a crucial biological component for maintaining pasture quality in subtropical grasslands and that managing grasslands through livestock grazing would make grasslands more stable and nutrient-enriched. The ﬁ ndings of this study can be useful in the long-term monitoring of grazing livestock in the subtropical grasslands when considering further investigations with the multiple factors in future.
embedding: A vector to characterise and classify plausible triples in deep learning NLP models

English. In this paper we deﬁne the creativity embedding of a text based on four self-assessment creativity metrics, namely diversity, novelty, serendipity and magnitude , knowledge graphs, and neural networks. We use as basic unit the notion of triple ( head, relation, tail ). We investigate if additional information about creativity improves natural language processing tasks. In this work, we focus on triple plausibility task, exploiting BERT model and a WordNet11 dataset sample. Contrary to our hypothesis, we do not detect increase in the performance.
Execution time predicition model for parallel GPU realization of dicscrete transforms computation algorithms

Parallel realizations of discrete transforms (DTs) computation algorithms (DTCAs) performed on graphics processing units (GPUs) play a signiﬁcant role in many modern data processing methods utilized in numerous areas of human activity. In this paper the authors propose a novel execution time prediction model, which allows for accurate and rapid estimation of execution times of various kinds of structurally different DTCAs performed on GPUs of distinct architectures, without the necessity of conducting the actual experiments on physical hardware. The model can serve as a guide for the system analyst in making the optimal choice of the GPU hardware solution for a given computational task involving particular DT calculation, or can help in choosing the best appropriate parallel implementation of the selected DT, given the limitations imposed by available hardware. Restricting the model to exhaustively adhere only to the key common features of DTCAs enables the authors to signiﬁcantly simplify its structure, leading consequently to its design as a hybrid, analytically–simulational method, exploiting jointly the main advantages of both of the mentioned techniques, namely: time-effectiveness and high prediction accuracy, while, at the same time, causing mutual elimination of the major weaknesses of both of the speciﬁed approaches within the proposed solution. The model is validated experimentally on two structurally different parallel methods of discrete wavelet transform (DWT) computation, i.e. the direct convolution-based and lattice structure-based schemes, by comparing its prediction results with the actual measurements taken for 6 different graphics cards, representing a fairly broad spectrum of GPUs compute architectures. Experimental results reveal the overall average execution time and prediction accuracy of the model to be at a level of 97.2%, with global maximum prediction error of 14.5%, recorded throughout all the conducted experiments, maintaining at the same time high average evaluation speed of 3.5 ms for single simulation duration. The results facilitate inferring the model generality and possibility of extrapolation to other DTCAs and different GPU architectures, which along with the proposed model straightforwardness, time-effectiveness and ease of practical application, makes it, in the authors’ opinion, a very interesting alternative to the related existing solutions.
Reviw on Emerging and Re-Emerging Zoonotic Viral Diseases, Future Challenges and Strategies for Sustainable Tackling

Emerging and re-emerging zoonoses are still remaining a leading cause of high morbidity and mortality in many countries of the world. These diseases constitute the major threats to human health; and are caused by a large number of organisms. The incidence of emerging infectious diseases in humans has increased within the recent past or threatens to increase in the near future. Over 30 new infectious agents have been detected worldwide in the last three decades; 60 per cent of these are of zoonotic origin. The emerging and re-emerging infectious diseases and their basic causes present a threat to the stability of the nations worldwide. The factors for the emergence/re-emergence of infectious diseases are complex and interrelated. The emergence and re-emergence of several zoonotic diseases in the past require a systematic surveillance and evaluation of disease control programme. Subsequently, the involvement of the Veterinarian and Public Health professionals in the process of global health programme is highly imperative.
European Journal of Educational Research

: In the future, vocational students will face all changes and developments in technology and information. In this context, students' digital literacy skills need to be trained to adapt to the demands of the world of work. This article aims to present the results of a study on factors that can improve the digital literacy practice for vocational students as a roadmap for digital learning in the current era. The sampling technique used purposive random sampling of 8 Vocational Schools in East Java Province, Indonesia. The number of respondents in this study amounted to 355 second-year students. The study has found that online learning, motivation
Pelatihan Kesehatan Kerja Kepada Pemangku Di Kota Denpasar

Kesehatan kerja sangat diperlukan oleh pemangku karena maraknya penyakit menular akibat meluasnya globalisasi. Pemangku sangat rentan dengan penularan penyakit karena berhadapan langsung bahkan bersentuhan dengan masyarakat. Selain itu pemangku perlu pemahaman ilmu agama karena pada umumnya pemangku menjalani profesi karena keturunan sehingga perlu diberikan pembinaan agar memiliki pemahaman tentang fungsi, makna profesi dan upacara yadnya. Pengabdian masyarakat yang dilakukan oleh program studi yoga kesehatan bertujuan untuk memberikan pembinaan serta pelatihan kepada pemangku di Kota Denpasar baik dari aspek sosial, agama dan kesehatan sehingga pemangku dapat mengikuti standar modernitas terutama di bidang kesehatan tanpa menghilangkan kesucian dan makna dari upacara agama atau yadnya. Metode pelaksanaan pada kegiatan ini adalah dengan metode I (presentasi), metode II (peragaan), metode III (Peragaan dan pembagian bahan/alat) dan metode IV (pembuatan percontohan). Hasil evaluasi pada akhir kegiatan ini, terdapat peningkatan pengetahuan secara signifikan pada peserta dengan rata-rata nilai setelah postest diatas 90 poin. Secara umum, pelaksanaan pengabdian ini mendapat sambutan baik dan berjalan dengan lancar. Kendala-kendala seperti jadwal kegiatan yang berbenturan dengan hari raya suci serta terbatasnya ruang tempat pelaksanaan dapat diatasi melalui kerjasama yang baik dari semua pihak. Selama pengabdian ditemukan bahwa antusiasme peserta untuk memperdalam ajaran agama Hindu dan pengetahuan terkait kesehatan sangat tinggi.
The Climate Emergency and the Need for Global Climate Stabilization: The Role of Energy Efficiency in Climate Policy

Global climate change is a worldwide challenge requiring a coordinated, international policy response. However, political pressures and disagreements between developed and developing countries have obstructed past climate negotiations and have stalled the adoption of binding greenhouse gas emission reduction targets. Despite slowmoving international climate negotiations and comprehensive climate policies, many countries have turned to energy efficiency as a politically feasible tool to lower energy use and greenhouse gas emissions. Economists debate the effectiveness of energy efficiency policies due differing perspectives regarding the relationship between energy use and economic growth. Because of this fundamental disagreement, economists often come to different conclusions as to whether energy efficiency routinely leads to either a reduction in energy use or leads to an economy-wide increase in energy use. Even when accounting for the rebound effect, many studies indicate that energy efficiency remains a highly cost-effective energy resource in the near future. Energy efficiency policies also offer an immediate and politically feasible policy tool to encourage the adoption of more comprehensive climate policies.
Title of Document: SPATIAL INEQUALITY IN CHILD NUTRITION IN NEPAL: IMPLICATIONS OF REGIONAL CONTEXT AND INDIVIDUAL/HOUSEHOLD COMPOSITION

With nearly 42% of children below age five nutritionally stunted, child malnutrition is a social, economic, and public health issue in Nepal. Even more disheartening is the wide variation of malnutrition across sub-regions within c ountry, which seems to disproportionately disadvantage children in certain regions as oppos ed to others. This dissertation aims to understand the extent and causes of child stunting fr om a regional inequality perspective. Household data from the Nepal Demographic and Health Surveys (NDHS) 1996, 2001, and 2006 are used to analyze national and regional trends of stunting of children age 6-59 months. Various data sources including the Nepal Census and the Health Management and Information System are used for regional level data. Both household and regional data are then analyzed using two-level Hierarchical Linear Modeling (HLM). The results show that stunting is declining albeit very slowly in Nepal and acr oss all thirteen regions. But there are significant and consistent disparities a cross regions that are not decreasing over time.
A Reconsideration of the Role of Predation on Large Mammals in Tropical Hunter-Gatherer Adaptation

Current models of hunter-gatherer adaptive strategy indicate variability with latitude (gathering predominant in the tropics, fishing in the mid-latitudes and hunting only in the high latitudes). This article questions the adequacy of the ethnographic data on which predictions about huntergatherer subsistence behaviour in some tropical environments are based. As an alternative, the pattern of covariability between plant community structure, large mammal biomass, and rainfall in equatorial regions is employed to predict high levels of hunting in certain low latitude environments. The present distribution of animal protein-dependent pastoralists in tropical Africa supports this model. It is suggested that large mammal hunting may have been of greater significance in the adaptive strategies of prehistoric savanna hunter-gatherers than in those of ethnographically-observed tropical hunter-gatherers.