Miracle-dz/UniFAR-FTUs huggingface dataset:
Cardiopulmonary Resuscitation Training in High School Using Avatars in Virtual Worlds: An International Feasibility Study

Background Approximately 300,000 people suffer sudden cardiac arrest (SCA) annually in the United States. Less than 30% of out-of-hospital victims receive cardiopulmonary resuscitation (CPR) despite the American Heart Association training over 12 million laypersons annually to conduct CPR. New engaging learning methods are needed for CPR education, especially in schools. Massively multiplayer virtual worlds (MMVW) offer platforms for serious games that are promising learning methods that take advantage of the computer capabilities of today’s youth (ie, the digital native generation). Objective Our main aim was to assess the feasibility of cardiopulmonary resuscitation training in high school students by using avatars in MMVM. We also analyzed experiences, self-efficacy, and concentration in response to training. Methods In this prospective international collaborative study, an e-learning method was used with high school students in Sweden and the United States. A software game platform was modified for use as a serious game to train in emergency medical situations. Using MMVW technology, participants in teams of 3 were engaged in virtual-world scenarios to learn how to treat victims suffering cardiac arrest. Short debriefings were carried out after each scenario. A total of 36 high school students (Sweden, n=12; United States, n=24) participated. Their self-efficacy and concentration (task motivation) were assessed. An exit questionnaire was used to solicit experiences and attitudes toward this type of training. Among the Swedish students, a follow-up was carried out after 6 months. Depending on the distributions, t tests or Mann-Whitney tests were used. Correlation between variables was assessed by using Spearman rank correlation. Regression analyses were used for time-dependent variables. Results The participants enjoyed the training and reported a self-perceived benefit as a consequence of training. The mean rating for self-efficacy increased from 5.8/7 (SD 0.72) to 6.5/7 (SD 0.57, P<.001). In the Swedish follow-up, it subsequently increased from 5.7/7 (SD 0.56) to 6.3/7 (SD 0.38, P=.006). In the Swedish group, the mean concentration value increased from 52.4/100 (SD 9.8) to 62.7/100 (SD 8.9, P=.05); in the US group, the concentration value increased from 70.8/100 (SD 7.9) to 82.5/100 (SD 4.7, P<.001). We found a significant positive correlation (P<.001) between self-efficacy and concentration scores. Overall, the participants were moderately or highly immersed and the software was easy to use. Conclusions By using online MMVWs, team training in CPR is feasible and reliable for this international group of high school students (Sweden and United States). A high level of appreciation was reported among these adolescents and their self-efficacy increased significantly. The described training is a novel and interesting way to learn CPR teamwork, and in the future could be combined with psychomotor skills training.
IL-1 induces thrombopoiesis through megakaryocyte rupture in response to acute platelet needs

1Department of Cardiovascular Medicine, 2Translational Systems Biology and Medicine Initiative, 3Computational Diagnostic Radiology and Preventive Medicine, 4Department of Diabetes and Metabolic Diseases, The University of Tokyo, Tokyo 113-8654, Japan 5Center for Molecular Medicine, Jichi Medical University, Tochigi 329-0498, Japan 6Japan Science and Technology Agency (JST), Precursory Research for Embryonic Science and Technology (PRESTO), Saitama 332-0012, Japan 7Department of Advanced Diagnosis, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya 460-001, Japan 8Department of Anatomy, Ultrastructural Cell Biology, Faculty of Medicine, University of Miyazaki, Miyazaki 889-1692, Japan 9Web Solution Group, IMAGICA Imageworks, Tokyo 141-0022, Japan 10Division of Hematology, Department of Medicine, Brigham and Women’s Hospital, Vascular Biology Program at Boston Children’s Hospital, Harvard Medical School, Boston, MA 02215 11Internal medicine, Social Insurance Central General Hospital, Tokyo 105-8330, Japan 12Center for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan
Folklore and taboos interrelated to Dentistry

: India, a developing country, faces many challenges in rendering health needs to its countrymen. The influence of culture is seen in every discipline of health and medical practices, and dentistry is no exception. Dentists usually face many myths and other untested beliefs which are passed from one generation to another. Some of these myths had a significant impact on the oral health of the population. Understanding the myths and misconceptions about oral diseases is of prime importance in providing excellent care and health education to both patients and healthy individuals. It is a fact that cultural beliefs are still affecting the oral health of the population. They may reflect a combination of limited knowledge regarding the care are rising dramatically, understanding the myths and misconceptions about oral diseases is important in providing excellent care and health education to both patients and healthy individuals. If community is educated about proper prevention and cure, the myths relating dental concepts will vanish from the society and over all dental health status of the community will improve. Hence the aim of this review is to shed light on oral health related myth and taboos prevailing in our communities.
Self-stigma associated with stuttering: Implications for well-being and strategies for change

This paper describes the concept of self-stigma and how it is relevant for individuals who stutter. Self-stigma can have a profound impact on psychological well-being and societal participation of people who stutter. Assessment of self-stigma specifically related to stuttering can be accomplished by several methods, including the Self-Stigma of Stuttering Scale (4S), which is a psychometrically sound scale currently being used by clinicians and researchers internationally. The scale taps into domains of awareness, agreement
Models of Peer Effects in Education **

: This paper summarizes the current state of research on peer effects in education. Focusing on specific models of peer effects and their underlying theoretical rationales, we review empirical evidence for these models and their implications for future research and discuss potential implications for educational policy. Our review highlights evidence for various types of peer effects to be sensitive to research design, data and study context. We propose a broader utilization of models testing various types of peer effects in specific datasets, attention to methodological issues beyond identifying cause-and effect, and further scrutiny of the theoretical mechanisms underlying identified peer effects in educational settings.
Levels of Cr, Cu and Zn in Food Stuffs from a Wastewater Treatment Wetland, Phnom Penh: A Preliminary Assessment of Health Risks

The naturally occurring wastewater treatment wetlands of Phnom Penh, Cambodia, also are home to a peri-urban community that actively harvests various food stuffs (vegetables, snails, fish) from the wetlands. Concern has been expressed about the potential health implications of eating food stuffs taken from the wetlands. Therefore, the objectives of this study were to identify the uses (e.g. fishing, shellfish cultivation, and aquatic plant harvesting) of wetlands through direct survey of users; analyze food stuffs to assess metals (Zn, Cu and Cr) levels; and develop simple contaminant exposure estimates for the survey participants. Sample collection and social surveys were conducted to fulfill the objectives of this research. It was found that the metals concentrations in vegatables were low compared to fishes and snails. The contaminant exposure estimates (risk assessment) of Morning glory (Ipomoea aquatica), the predominant vegetable in the study area, and fish, showed that Zn, Cu and Cr originating from consumption of these food stuffs still do not pose any serious health risk to the community (with the exception of Cr for children eating fish at one sample site). A higher risk was identified for children consuming snails, specifically with respect to Cr.
J urnal M anajemen (E disi E lektronik )

Learning media is one of the important supports can be used in learning activities. Objective of the study was to develop flip PDF corporate edition based learning media on price index material a support for learning activities, in order to improve student learning outcomes. The discussion was carried out measure the feasibility of learning media and influence of learning media on learning outcomes price index material using the Pretest-Posttest Control Group Design. This research was done using the ADDIE development model. Learning media result validated by media experts obtained score of 4.43 very good criteria and percentage of 88.61% in the very decent category. The results material expert validation obtained of 4.29 very good criteria and percentage of 85.84% very feasible category. In limited field trials there was 4.35 very good criteria and 86.88% very feasible category. While the operational field trials score of 4.33 very good criteria and percentage of 86.43% very feasible category. Overall was an average score of 4.35 very good criteria and percentage of 86.94% very feasible category. Testing the influence of the media learning outcomes was using the Wilcoxon test, the results of the experimental and control groups obtained the same significance value, namely <0.001 < 0.05. Meanwhile, the Mann Whitney test yielded a significance value of 0.032 < 0.05. Creative Commons Attribution-ShareAlike 4.0 International License. 2 | Putri, Rahmattullah, Ratumbuysang, Hasanah Jurnal Manajemen (Edisi Elektronik)
Assessment of Groundwater Resources in Northeastern Sinai Peninsula Constrained by Mathematical Modeling Techniques

The study area extended from El-Gora and its vicinities in the south to El Sheikh Zowyed and Rafah cities in the north.  Quantitatively the water bearing formation in the area has been evaluated by applying the Processing Modflow for Windows (PMWIN) and modulus contour map techniques.  Qualitatively, the groundwater is evaluated by an iso-salinity distribution map. The hydraulic parameters of the water bearing formations were determined and evaluated through 12 pumping tests carried out on selected drilled wells. On the other hand the ground elevation of the study area is illustrated by a Digital Elevation Model (DEM). The DEM map indicated that the investigated area lies within a low land area. Due to the depths of groundwater (46.1m – 105m from the ground surface), the rainfall replenishment is nearly absent. Based on the resulting modulus contour map, the northern and northwestern portions are characterized by reasonable potentiality of groundwater. More over, the eastern and southern portions reflect limited aquifer potentials. The mathematical modeling results revealed that the recharge to the investigated aquifer is about 9.794 Million m.
PERFORMANCE APPRAISAL AND PERFORMANCE OF THE NIGERIAN CIVIL SERVICE IN FIVE LOCAL GOVERNMENTS OF LAGOS STATE

This paper assesses the role of performance appraisal on the performance of the Nigerian civil service. The poor performance of the civil service in rendering qualitative service to citizenry was the problem that justified the need for the study. Sample of 265 respondents participated in the survey and they were selected using a simple random sampling technique. Multiple regression technique was used for the test of the hypotheses. The study found that objective assessment does not have significant effect on performance of the civil service, while it was found that feedback mechanism has significant effect on the performance of the civil service. The study recommends that for improved performance of the service, there is need to ensure that employees are provided timely feedback on their performance appraisal in the service. The basis for promotion or upgraded should be made clear and all should be transparent, as it affects employees’ performance, which in turns affects the civil service performance.
Engagedscholarship@csu Association between Lower Extremity Posture at Contact and Peak Knee Valgus Moment during Sidestepping: Implications for Acl Injury Publisher's Statement Original Citation

NOTICE: this is the author's version of a work that was accepted for publication in Clinical Biomechanics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
The Effects of Plant-Derived Phytochemical Compounds and Phytochemical-Rich Diets on Females with Polycystic Ovarian Syndrome: A Scoping Review of Clinical Trials

Polycystic ovarian syndrome (PCOS) is an endocrine condition that impacts nutritional status, metabolic, and hormonal function in females of reproductive age. This condition is associated with increased androgen production (hyperandrogenism) and decreased insulin sensitivity, which often leads to insulin resistance and hyperinsulinemia. This increase in androgen production and insulin resistance is strongly associated with a high incidence of obesity, type-2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and certain types of gonad-related cancers among females who suffer from this condition. As research continues to grow, it has been demonstrated that PCOS is a complex condition, and some of its characteristics vary among the females that have this disorder. However, it has been suggested that oxidative stress and low-grade chronic inflammation could play an important role in the development of PCOS. Current evidence suggest that phytochemicals could potentially help with weight-loss by reducing oxidative stress and low-grade inflammation, as well as aid in metabolic and hormonal regulation due to their antioxidant properties. Some of the bioactive compounds found in plants that have shown positive effects in the attenuation of PCOS include flavonoids, polyphenols, phytoestrogen, and polyunsaturated fatty acids (PUFAs). Thus, a review of the current literature published on PCOS and phytochemicals was conducted in PubMed, Google Scholar, and the Academy of Nutrition and Dietetics databases for articles published between 2013 and 2023 with a study duration of 1 to 3 months and adequate sample sizes. The main purpose of this review of literature was to investigate the metabolic effects of phytochemical compounds and phytochemical-rich diets on females with PCOS by comparing the results of several randomized clinical trials.
Economic growth in a period of political fragmentation, Western Europe 900-1300 1

The long period of economic expansion between the second half of 10 th and the beginning of the 14th century is one of the big enigmas of European (and world) economic history. This spectacular expansion of the European economy is all the more striking as it occurred -after the disintegration of the Carolingian Empire-during a period when the number of political entities increased strongly. Although, in general, large economic entities such as the Roman, the Qing or the Carolingian Empire seem to have fostered economic growth, in Western Europe political fragmentation did not hamper development. The paper analyzes some of the reasons why this may have been the case. It tries to find out which institutions emerged in Western Europe that lowered transaction costs to such an extend that international trade could flower the way it did. It reviews different responses to the power vacuum that came into existence in parts of Western Europe in the 10th-11th centuries, and links these to three hypotheses formulated in the literature. Firstly, the Mann-Berman hypothesis focuses on the 'top down' offensive led by the Church and its institutions aimed at pacification and the imposition of law and order; as a result the Church became a kind of meta-state that was an important source of institutional change. Secondly, the Greif-de Moor hypothesis concentrates on the effects of a 'bottom up' movement resulting in the setting up of guilds, communes and other forms of corporate collective action; according to this interpretation this bottom up movement led to the creation of new institutions that regulated exchange and protected property rights. Finally, the classical interpretation that this period saw a „feudal revolution‟ - an intensification of political power by local lords – is discussed, and the question is raised how important these changes were for economic development. It argues that in particular the combination of the first two movements (top down and bottom up) resulted in the creation of new set of institutions
Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapy

Simple Summary Early detection and personalized treatment for breast cancer are vital for breast cancer patients survival. Computational pathology approaches can be employed by pathologists and cytologists to improve the efficiency and accuracy of breast cancer diagnosis and target therapy. With the recent development of machine learning and deep learning, there is an immense amount of optimism that this technology will eventually be able to handle difficulties that were previously unsolvable. Here, we developed an efficient deep learning method with a low computational cost to assist pathologists or cytologists with the task of detecting breast cancer metastases on H&E-stained WSIs and calculating HER2 and CEN17 signals for breast cancer anti-HER2 targeted therapy practically while minimizing individual judgment errors. Abstract Breast cancer is the leading cause of cancer-related deaths among women worldwide, and early detection and treatment has been shown to significantly reduce fatality rates from severe illness. Moreover, determination of the human epidermal growth factor receptor-2 (HER2) gene amplification by Fluorescence in situ hybridization (FISH) and Dual in situ hybridization (DISH) is critical for the selection of appropriate breast cancer patients for HER2-targeted therapy. However, visual examination of microscopy is time-consuming, subjective and poorly reproducible due to high inter-observer variability among pathologists and cytopathologists. The lack of consistency in identifying carcinoma-like nuclei has led to divergences in the calculation of sensitivity and specificity. This manuscript introduces a highly efficient deep learning method with low computing cost. The experimental results demonstrate that the proposed framework achieves high precision and recall on three essential clinical applications, including breast cancer diagnosis and human epidermal receptor factor 2 (HER2) amplification detection on FISH and DISH slides for HER2 target therapy. Furthermore, the proposed method outperforms the majority of the benchmark methods in terms of IoU by a significant margin (p<0.001) on three essential clinical applications. Importantly, run time analysis shows that the proposed method obtains excellent segmentation results with notably reduced time for Artificial intelligence (AI) training (16.93%), AI inference (17.25%) and memory usage (18.52%), making the proposed framework feasible for practical clinical usage.
Factors influencing c ustomers’ buying decisions of mobile phone in Dhaka, Bangladesh

Mobile phone has diversified usages to different users in accordance with their necessities. With the dramatic increase in mobile phone usage in recent years, when deciding to buy a mobile phone, people consider different factors. This study has put efforts to uncover the underlying factors which influence customers in choosing mobile phones. Data were collected from those who people live in Dhaka city maintaining equal ratios of various groups like male, female, businessmen, employees, students and others (mostly student). The convenient sampling method was used to select the desired respondents. The study was undertaken on 305 mobile phone users of Dhaka city, Bangladesh. The data was analyzed using factor analysis and Cronbach’s alpha. With the h elp of factor analysis, twelve decision factors of consumer buying behavior were derived. On these twelve factors a factor analysis was performed with perceived satisfaction of consumers in terms of buying decision as an independent variable. The findings showed that “social fa ctor ” has the highest positive impa ct on the satisfaction followed by brand, advertising & price. The study provided useful insights into the behavior of consumers buying mobile phones.
Remote Sensing of Environment

Global Navigation Satellite System-Reflectometry (GNSS-R) is a remote sensing technique that uses scattered navigation signals opportunistically for science applications. The Cyclone Global Navigation Satellite System (CYGNSS) is the first science-driven GNSS-R satellite mission. Although the CYGNSS mission is motivated and designed to better observe weather processes, the data are also useful for other applications, including surface hydrology. This paper aims to demonstrate that CYGNSS has a capability for frequent, high-resolution observations of the wetland dynamics across a wide range of timescales in the tropics. Using matched estimates of water depth from the Everglades Depth Estimation Network (EDEN), we develop methods for mapping inundation over the South Florida Everglades wetland region using CYGNSS data. CYGNSS enables inundation mapping at rapid timescales throughout the diverse Everglades ecosystem, and the data could be complementary to those of well-established observational platforms. The strengths of GNSS-R could be leveraged with the strengths of other techniques to enable studies of wetlands dynamically at short timescales.
Remote Sensing of Environment

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500m resolution of speci ﬁ c leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap ﬁ lling and up-scaling of in-situ measured leaf traits. The chain ﬁ rst uses random forests regression with surro-gates to ﬁ ll gaps in the database (>45 % of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then aggregated to Plant Functional Types (PFTs). Next, the spatial abundance of PFTs at MODIS resolution (500m) is calculated using Landsat data (30m). Based on these PFT abundances, representative trait values are calculated for MODIS pixels with nearby trait data. Finally, di ﬀ erent regression algorithms are applied to globally predict trait estimates from these MODIS pixels using remote sensing and climate data. The methods were compared in terms of precision, robustness and e ﬃ ciency. The best model (random forests regression) shows good precision (normalized RMSE ≤ 20 % ) and goodness of ﬁ t (averaged Pearson's correlation R = 0.78) in any considered trait. Along with the estimated global maps of leaf traits, we provide associated uncertainty estimates derived from the regression models. The process chain is modular, and can easily accommodate new traits, data streams (traits databases and remote sensing data), and methods. The machine learning techniques applied allow attribution of information gain to data input and thus provide the opportunity to understand trait-environment relationships at the plant and ecosystem scales. The new data products – the gap-ﬁ lled trait matrix, a global map of PFT abundance per MODIS gridcells and the high-resolution global leaf trait maps –