Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive performance of qSOFA in confirmed COVID-19 patients presenting to the emergency department

Objectives: It is critical to quickly and easily identify coronavirus disease 2019 (COVID-19) patients who become severely or even critically ill. Thus, this study was conducted to determine the accuracy of the quick Sequential Organ Failure Assessment (qSOFA) score in predicting the severity and mortality of COVID-19 patients. Materials and Methods: This was a prospective observational study of COVID-19 patients admitted to the emergency department (ED) between June 22, 2021, and November 21, 2021. The clinical characteristics of the participants were collected by the emergency physicians. The correlation of the qSOFA, Systemic Inflammatory Response Syndrome criteria (SIRS), Pneumonia Severity Index (PSI), and confusion, urea, respiratory rate, blood pressure, 65 years of age and older (CURB-65) scores for 14-day mortality were evaluated. The area under a receiver operating characteristic (AUROC) curve analysis was calculated to compare the effectiveness of qSOFA, SIRS, PSI, and CURB-65 to predict severe disease. Results: Eight hundred and ninety-four subjects were included. Of them, 721 patients (80.6%) survived after 14 days of admission. The mean age was 58.92 ± 17.80 years, and 551 subjects (61.6%) were male. Nonsurvived patients were significantly older (51.09 ± 23.60 vs. 38.10 ± 18.24, P = 0.004) and had more comorbidities (diabetes mellitus, respiratory, cardiovascular, and cerebrovascular disease) in comparison with survived patients. For COVID-19 mortality prediction, the AUROCs of qSOFA, CURB-65, PSI, and SIRS score were 0.799 (95% confidence interval [CI 0.771–0.825]), 0.829 (95% CI [0.803–0.853]), 0.830 (95% CI [0.804–0.854]), and 0.759 (95% CI [0.730–0.787]), respectively. All scores were good predictors of COVID-19 mortality. Conclusion: The qSOFA was more successful than SIRS in predicting mortality for COVID-19 patients and was similar to CURB-65 and PSI. Therefore, the qSOFA score can be considered a simple and rapid screening tool for identifying high-risk patients.
On Uniqueness of Meromorphic Functions Sharing Three Sets with Finite Weights

Abstract. With the help of the notion of weighted sharing of sets, this paper dealt with the question posed by Yi [17] regarding the uniqueness of meromorphic functions concerning three set sharing. A result has been proved which significantly improved the recent results of Banerjee Ahamed [3], Banerjee Mukherjee [5] and Banerjee Majumder [4] by relaxing the nature of sharing. Several examples have been exhibited to show the sharpness of the cardinalities of the sets S1 and S2 considered in Theorem 1.1 . Moreover, we give some constructive examples to endorse the validity of our established theorem.
Advanced Clustering Approach for Peer-to-Peer Local Energy Markets Considering Prosumers’ Preference Vectors

Local energy markets (LEMs) are utilized in a bottom-up power systems approach for reducing the complexity of the traditional, centralized power system and to enable better integration of decentralized renewable energy resources (RES). Peer-to-peer (P2P) energy trading creates opportunities for prosumers to trade their RES with other prosumers in the LEM. Although several scenarios were proposed in the literature for modelling P2P energy trading, there is still a gap in the literature considering the heterogeneous characteristics of prosumers’ bidding preferences during P2P matching in the LEM. In this paper, we present heterogeneous characteristics of bidding preferences for prosumers considering energy quantity, bid/offer price, geographic location, location of agents on the local community and cluster welfare. Moreover, this paper proposes an advanced clustering model for P2P matching in the energy community considering the heterogeneous characteristics of bidding preferences for prosumers. For evaluating our proposed model performance, two German real case scenarios of a small and large communities were studied. The simulations results show that using price preference, as the criterion for clustering, offers more technical and economic benefits to energy communities compared to other clustering scenarios. On the other hand, clustering scenarios based on location of prosumers ensure that energy is traded among prosumers who are closer to each other.
Long-Term Effects of Sacubitril-Valsartan on Cardiac Remodeling: A Parallel Echocardiographic Study of Left and Right Heart Adaptive Response

Sacubitril/Valsartan (S/V) carries potential anti-remodeling properties, however long-term effects and biventricular adaptive response are poorly described. 76 HFrEF patients who underwent progressive uptitration of S/V, completed the annual scheduled follow-up. After a median follow-up of 11 (8–13) months, left ventricular (LV) reverse remodeling (RR) is defined as (1) absolute increase in LV ejection fraction (EF) ≥ 10% or LVEF ≥ 50% at follow-up and (2) decrease in indexed LV end-diastolic diameter (LVEDDi) of at least 10% or indexed LVEDDi ≤ 33 mm/m2, occurred in 27.6%. Non-ischemic etiology, shorter duration of HF, and absence of a history of AF were independently associated with LVRR (p < 0.05). TAPSE and TAPSE/PASP, a non-invasive index of right ventricular (RV) coupling to the pulmonary circulation, significantly improved at follow-up (0.45 vs. 0.56, p = 0.02). 41% of patients with baseline RV dysfunction obtained favorable RV remodeling despite only a moderate correlation between RV and LV function was observed (r = 0.478, p = 0.002). Our data point to a potential long-term reverse global remodeling effect by S/V, especially in patients who start S/V at an early stage of the disease, and focus our attention on a possible direct effect of the drug in synergistic hemodynamics between RV and pulmonary circulation.
Evidence-Based Practice in Psychosocial Oncology from the Perspective of Canadian Service Directors

Evidence-based practices facilitate the effective delivery of psychological services, yet research on the implementation of evidence-based practices in psychosocial oncology (PSO) is scarce. Responding to this gap, we interviewed a diverse sample of 16 directors of Canadian psychosocial oncology services about (a) how evidence-based practices in psychosocial oncology are being implemented in clinical care and how the service quality is monitored and (b) what are barriers and facilitators to evidence-based practice in psychosocial oncology services? Responses were grouped according to three main themes emerging from the data: screening for distress and referral to PSO services, delivery of evidence-based PSO services, and monitoring of PSO services. Our findings highlight facilitators and barriers to evidence-based practice in psychosocial oncology, which were related to the political, social, economic, and geographic contexts. The stepped care model was identified as a science-informed approach to improve the cost-effectiveness of triage systems and treatment delivery while facilitating more equitable access to services. Other facilitators included electronic screening and referral systems as well as protected time for clinicians to communicate more within their teams and participate in knowledge exchange. High caseloads presented a major barrier to acquiring and implementing evidence-based practices. Recommen–dations include increased support for evidence-based onboarding and continued training as well as for data collection regarding service needs, quality, and quantity to inform service monitoring and advocacy for more financial resources. Our findings are relevant to healthcare decision makers, implementation researchers, as well as service directors and practitioners providing psychosocial oncology care.
Homology Stability for Spaces of Surfaces

In this thesis we study the space of compact connected oriented genus g subsurfaces of a fixed manifold M, and in particular its homological properties. We construct a “scanning map” which compares this space to the space of sections of a certain fibre bundle over M associated to its tangent bundle, and show that this map induces an isomorphism on homology in a range of degrees. Our results are analogous to McDuff’s theorem on configuration spaces, extended from 0-submanifolds to 2-submanifolds.
Laboratory Evaluation of Tundish Covering Powders and Rice Hull Ash on Cleanliness for a SAE 1055 Modified Steel

The continuous casting tundish is the last metallurgical reactor where molten metal flows before solidifying in the continuous casting mold. A tundish covering powder can be used for improving steel cleanliness; in this case it is named ‘active tundish slag’. The objective of this work is to evaluate, in laboratory, the effect of three kinds of tundish covering powders on cleanliness for a SAE 1055 modified steel - a Ca-aluminate, a Ca-Mg-aluminate, and an Al-silicate powder, analysing their interaction with rice hull ash. The forementioned materials were molten on liquid steel, representing different kinds of tundish covering powders which are used in the steel industry: a Ca-Mg-aluminate, an Al-silicate, and a Ca-aluminate. Experiments were performed with and without a top layer of rice hull ash, simulating industrial conditions. Distribution, density, and mean diameter of inclusions were measured through automated inclusion analyses. Through computational thermodynamics it was possible to evaluate deviation from saturation (considering Al 2 O 3 and MgO from refractory) and slag viscosity. It can be stated that the Ca-aluminate tundish covering powder gives better results regarding cleanliness for the SAE 1055 modified steel under laboratory conditions.
Investigating Students' Modes of Thinking in Linear Algebra: The Case of Linear Independence.

Linear algebra is one of the most challenging topics to learn and teach in many countries. To facilitate the teaching and learning of linear algebra, priority should be given to epistemologically analyze the concepts that the undergraduate students have difficulty in conceptualizing and to define their ways of reasoning in linear algebra. After the initial conditions are granted, pedagogical arrangements should be made. From this point of view, this study aims to explore undergraduate students’ ways of thinking while solving problems in the abstract mode about linearly independent/dependent vectors. It also focuses on what students understood about linear independence/dependence concepts. The study was conducted with 186 mathematics teacher-candidates. The responses of these students to four problems and interview data conducted with eight students were used to identify a student’s way of thinking. During qualitative analysis of the responses, Sierpinska’s (2000) framework for thinking modes was adopted by the researcher. The content analysis revealed 15 categories of thought modes: 12 arithmetic, 2 geometric, and 1 structural. In arithmetic thinking mode (approximately 68% of the participants), the majority of students presented inappropriate solutions, including mistakes related to operational procedures for the problems in the abstract mode. The responses in geometric thinking mode (10%) were indicators of obstacles related to mathematical generalization. Furthermore, the response ratio in structural mode of thinking was very low (5%). In conclusion, the findings support the view of the inconsistency between the thinking modes of students and the abstract nature of linear algebra problems.
Asai L-functions and Jacquet's conjecture

We give a conceptually simple proof of the square-integrable case of a conjecture of Jacquet concerning distinguished representations of the general linear group over a local field of characteristic zero. The proof is based on consideration of the Rankin-Selberg integral representation of the generalized Asai L-function and utilizes global methods.
E¢ cient Estimation of Average Treatment Eects under T reatment-Based Sampling

Nonrandom sampling schemes are often used in program evaluation settings to improve the quality of inference. This paper considers what we call treatment-based sampling, a type of standard strati…ed sampling where part of the strata are based on treatment status. This paper establishes semiparametric e¢ ciency bounds for estimators of
Clinical Diagnosis of Chikungunya Infection: An Essential Aid in a Primary Care Setting Where Serological Confirmation Is Not Available

Background: Chikungunya virus (CHIKV) diagnosis has become a challenge for primary care physicians in areas where the Zika virus and/or Dengue virus are present. Case definitions for the three arboviral infections overlap. Methods: A cross-sectional analysis was carried out. A bivariate analysis was made using confirmed CHIKV infection as the outcome. Variables with significant statistical association were included in an agreement consensus. Agreed variables were analyzed in a multiple regression model. The area under the receiver operating characteristic (ROC) curve was calculated to determine a cut-off value and performance. Results: 295 patients with confirmed CHIKV infection were included. A screening tool was created using symmetric arthritis (4 points), fatigue (3 points), rash (2 points), and ankle joint pain (1 point). The ROC curve identified a cut-off value, and a score ≥ 5.5 was considered positive for identifying CHIKV patients with a sensibility of 64.4% and a specificity of 87.4%, positive predictive value of 85.5%, negative predictive value of 67.7%, area under the curve of 0.72, and an accuracy of 75%. Conclusion: We developed a screening tool for CHIKV diagnosis using only clinical symptoms as well as proposed an algorithm to aid the primary care physician.
Descriptive Sensory Attributes and Volatile Flavor Compounds of Plant-Based Meat Alternatives and Ground Beef

The objective of this study was to characterize descriptive sensory attributes and volatile compounds among ground beef (GB) and plant-based meat alternatives (PBMA). The Beyond Burger, Impossible Burger, a third brand of PBMA, regular GB, and lean GB were collected from local and national chain grocery stores. Patties were formed and cooked on an enamel-lined cast iron skillet to an internal temperature of 71 °C. A trained descriptive sensory panel evaluated patties for 17 flavor attributes and 4 texture attributes. Volatile compounds were extracted using solid phase microextraction and analyzed via gas chromatography-mass spectrometry. Distinct differences in sensory and volatile profiles were elucidated (p < 0.05). PBMA possessed decreased beef flavor intensity and increased umami, nutty, smokey-charcoal, and musty/earthy flavor compared to GB. Sensory differences corresponded with pyrazine, furan, ketone, alcohol, and aldehyde concentration differences between products. These data support the conclusion that ground beef and PBMA possess different flavor and texture characteristics. Furthermore, the flavor of PBMA varied among available retail brands.
Mean Stability of Switched Linear Systems

A switched linear system is a dynamical system that consists of multiple linear timeinvariant systems, called subsystems, and a piecewise constant function, called a switching signal, that orchestrates the switching between the subsystems. For the last two decades switched linear systems have attracted a significant amount of attention due to their wide range of applications. Stability, which is the first property that every controlled system must have, has been one of the central topics in the study of switched linear systems. In particular mean stability, that roughly speaking requires stability in average, is known to be a rather practical and easy to check stability notion. There are now many conditions available to check the mean stability of linear switched systems with various different stochastic structures. However, there are still some important classes of switched linear systems whose mean stability cannot be checked by available methods. This thesis gives the characterization of the mean stability of discrete-time switched linear systems with identically and independently distributed system parameters and continuous-time (semi-)Markov jump positive linear systems. These conditions can be checked by the eigenvalues of a matrix and also extend the stability conditions obtained in the systems and control theory literature. We also study the mean escape time and the asymptotic behavior of switched Riccati differential equations naturally induced by switched linear systems.
Impact of anxiety on students' behavioural intention to use business simulation games

The use of business simulation games in education is increasing as it allows students to apply theoretical concepts. It encourages critical skills for Information Systems students such as problem-solving, critical thinking and creativity. However, there may be a steep learning curve for students with limited skills and experience. The steep learning curve may lead to anxiety. This research used positivism and added anxiety as a variable to the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Quantitative data were collected from 224 third-year Information Systems students via an online survey. Data were analysed using Partial Least Squares (PLS) Structured Equation Modelling. This research produced unexpected results, as effort expectancy and facilitating conditions did not influence behavioural intention. The influence of anxiety was also not negative. These findings are contrary to the literature. Debriefing, tutor support and training videos may also have reduced the initial anxiety experience, and this may influence the future usage of business simulation games.
Study of Delay Prediction in the US Airport Network

In modern business, Artificial Intelligence (AI) and Machine Learning (ML) have affected strategy and decision-making positively in the form of predictive modeling. This study aims to use ML and AI to predict arrival flight delays in the United States airport network. Flight delays carry severe social, environmental, and economic impacts. Deploying ML models during the process of operational decision-making can help to reduce the impact of these delays. A literature review and critical appraisal were carried out on previous studies and research relating to flight delay prediction. In the literature review, the datasets used, selected features, selected algorithms, and evaluation tools used in previous studies were analyzed and influenced the decisions made in the methodology for this study. Data for this study comes from two public sets of domestic flight and weather data from 2017. Data are processed and split into training, validation, and testing data. Subsequently, these ML models are evaluated and compared based on performance metrics obtained using the testing data. The predictive model with the best performance (in choosing between logistic regression, random forest, the gradient boosting machine, and feed-forward neural networks) is the gradient boosting machine.
Flipped Learning in Teacher Education: Using the Theories of Reflection to Understand English-Major Students’ Sense of Engagement

ABSTRACT This study was to determine how 30 English-major student teachers (STs) in Vietnam perceived their sense of engagement as a result of their participation in the flipped classroom learning in the course of Information and Communication Technologies as part of their 4-year teacher education program. The researchers of this research mainly considered the STs’ written form of critical reflection to widen a scholarly understanding of power and impacts of flipped learning as an innovation of educational pedagogy. The researchers discovered that the STs were found successful to engage themselves in a cognitively, affectively, and behaviourally connected manner. Discussions and implications also emerged.
Gate Voltage Tunable Temperature Coefficient of Resistance of WSe2 for Thermal Sensing Applications

Two-dimensional (2-D) materials have layered structures with unique properties. One of the properties of interest is the temperature coefficient of resistance (TCR) which should be large for fast thermal sensors. The TCR is the calculation of the relative change in resistance per degree of temperature change. Taking a step further, tunable TCR is a concept that involves the control of TCR by the gate voltage. Here, we have shown that in a field effect transistor (FET) device, the 2-D semiconductor material tungsten diselenide (WSe<inline-formula> <tex-math notation="LaTeX">$_{{2}}{)}$ </tex-math></inline-formula> has a TCR, which can be controlled by varying the applied gate voltage. We also compared it with molybdenum disulfide (MoS<inline-formula> <tex-math notation="LaTeX">$_{{2}}{)}$ </tex-math></inline-formula> and found that the WSe2 TCR is approximately six times that of MoS2 and 19 times that of metallic thin films. Also, WSe2 TCR could be controlled to 300% of its value within 10 V of applied gate voltage. Specific high values of TCR can be tuned using the gate voltage as WSe2 TCR can be selected to −8.7% <inline-formula> <tex-math notation="LaTeX">$\text{K}^{-{1}}$ </tex-math></inline-formula>. This has applications in bolometers, thermal sensors, and accelerometers.
Effects of the Power Card Strategy on Social Commenting of Children with Autism During Gameplay: Strength-Based Intervention

Children with autism spectrum disorder (ASD) experience challenges with social interactions that manifest in specific social situations. These challenges may inhibit them from developing sustained friendships with school-age peers, resulting in their exclusion from group-based leisure activities. To aid this population in developing friendships, there is a crucial need to evaluate interventions designed to teach social skills during group-based leisure activities. The power card strategy (PCS) is a strength-based intervention that incorporates a child’s special interest to help them navigate challenging social situations. Using a multiple-probe design, we evaluated the effects of the PCS with three students diagnosed with ASD who displayed difficulty with social commenting during group-based leisure activities. For all three individuals, the PCS resulted in increased appropriate social comments during game play that included both taught and novel comments. These findings maintained over time and generalized to a novel gaming activity with classmates in the community.
Human Genes Involved in the Interaction between Host and Gut Microbiome: Regulation and Pathogenic Mechanisms

Introduction: The umbrella term “human gut microbiota” describes the complex ecosystem harboring our gut. It includes bacteria, viruses, protozoa, archaea, fungi, and yeasts. This taxonomic classification does not describe its functions, which encompass nutrients digestion and absorption, immune system regulation, and host metabolism. “Gut microbiome” indicates instead the genome belonging to these “microbes” actively involved in these functions. However, the interaction between the host genome and the microbial ones determines the fine functioning of our organism. Methods: We reviewed the data available in the scientific literature on the definition of gut microbiota, gut microbiome, and the data on human genes involved in the interaction with the latter. We consulted the main medical databases using the following keywords, acronyms, and their associations: gut microbiota, gut microbiome, human genes, immune function, and metabolism. Results: Candidate human genes encoding enzymes, inflammatory cytokines, and proteins show similarity with those included in the gut microbiome. These findings have become available through newer artificial intelligence (AI) algorithms allowing big data analysis. From an evolutionary point of view, these pieces of evidence explain the strict and sophisticated interaction at the basis of human metabolism and immunity regulation in humans. They unravel more and more physiopathologic pathways included in human health and disease. Discussion: Several lines of evidence also obtained through big data analysis support the bi-directional role of gut microbiome and human genome in host metabolism and immune system regulation.