Miracle-dz/UniFAR-FTUs huggingface dataset:
Incremental prognostic value of lung ultrasound on contemporary heart failure risk scores

Introduction: Over the last decades, several scores have been developed to aid clinicians in assessing prognosis in patients with heart failure (HF) based on clinical data, medications and, ultimately, biomarkers. Lung ultrasound (LUS) has emerged as a promising prognostic tool for patients when assessed at discharge after a HF hospitalization. We hypothesized that contemporary HF risk scores can be improved upon by the inclusion of the number of B-lines detected by LUS at discharge to predict death, urgent visit, or HF readmission at 6- month follow-up. Methods: We evaluated the discrimination improvement of adding the number of B-lines to 4 contemporary HF risk scores (Get with the Guidelines -GWTG-, MAGGIC, Redin-SCORE, and BCN Bio-HF) by comparing the change in the area under the receiver operating curve (AUC), the net reclassification index (NRI), and the integrated discrimination improvement (IDI). The population of the study was constituted by the 123 patients enrolled in the LUS-HF trial, adjusting the analyses by the intervention. Results: The AUC of the GWTG score increased from 0.682 to 0.789 (p = 0.02), resulting in a NRI of 0.608 and an IDI of 0.136 (p < 0.05). Similar results were observed when adding the number of B-lines to the MAGGIC score, with an AUC that increased from 0.705 to 0.787 (p < 0.05). This increase translated into a NRI of 0.608 and an IDI of 0.038 (p < 0.05). Regarding Redin-SCORE at 1-month and 1-year, the AUC increased from 0.714 to 0.773 and from 0.681 to 0.757, although it did not reach statistical significance (p = 0.08 and p = 0.06 respectively). Both IDI and NRI were significantly improved (0.093 and 0.509 in the 1-month score, p < 0.05; 0.056 and 0.111 in the 1-year score, p < 0.05). Lastly, the AUC for the BCN Bio-HF score increased from 0.733 to 0.772, which was statistically non-significant, with a NRI value of 0.363 (p = 0.06) and an IDI of 0.092 (p < 0.05). Conclusion: Adding the results of LUS evaluated at discharge improved the predictive value of most of the contemporary HF risk scores. As it is a simple, fast, and non-invasive test it may be recommended to assess prognosis at discharge in HF patients.
Detection of VHE Bridge emission from the Crab pulsar with the MAGIC Telescopes

The Crab pulsar is the only astronomical pulsed source detected above 100 GeV. The emission mechanism of very high energy gamma-ray pulsation is not yet fully understood, although several theoretical models have been proposed. In order to test the new models, we measured the light curve and the spectra of the Crab pulsar with high precision by means of deep observations. We analyzed 135 hours of selected MAGIC data taken between 2009 and 2013 in stereoscopic mode. In order to discuss the spectral shape in connection with lower energies, 4.6 years of Fermi-LAT data were also analyzed. The known two pulses per period were detected with a significance of 8.0 sigma and 12.6 sigma. In addition, significant bridge emission was found between the two pulses with 6.2 sigma. This emission can not be explained with the existing theories. These data can be used for testing new theoretical models.
Assessment of Internet Addiction among Adolescents in Mansoura City

Introduction: Internet addiction is an increasing problem among adolescents worldwide. The Internet provides educational advantages, but internet over use can lead to negative outcomes such as social isolation and poor academic achievement. This study aimed to assess the prevalence of “Internet Addiction (IA)” among adolescents in Mansoura city, Egypt. A cross-sectional study design was used to accomplish this study. Multi stages stratified cluster-sampling technique was done of 2340 students located at Mansoura city. Data for this study was collected by using Fahmy and El-Sherbini Socio Economic Scale and Internet Addiction Scale. Results : The study results revealed that. 44.7% of the adolescents had moderate internet addiction, 12% had severe internet addictions and 43.3% of the adolescents were average Internet users. Most adolescents (96.9%) preferred home to access the internet. Social media was the main purpose of using the internet as reported by 81.5% of the adolescents. Most of them (89%) utilized mobile phones for internet access. Conclusion : Moderate and sever IA was prevalent among more than half of studied adolescents. Most adolescents used internet for entertainment purposes. Finally, it is recommended conduct health education program about safe internet usage and the importance of sports and social activities.
Joint TDOA and AOA location algorithm

For the joint time difference of arrival (TDOA) and angle of arrival (AOA) location scene, two methods are proposed based on the rectangular coordinates and the polar coordinates, respectively. The problem is solved perfectly by calculating the target position with the joint TDOA and AOA location. On the condition of rectangular coordinates, first of all, it figures out the radial range between target and reference stations, then calculates the location of the target. In the case of polar coordinates, first of all, it figures out the azimuth between target and reference stations, then figures out the radial range between target and reference stations, finally obtains the location of the target. Simultaneously, simulation analyses show that the theoretical analysis is correct, and the proposed methods also provide the application of the joint TDOA and AOA location algorithm with the theoretical basis.
Hadronic Signatures of Deconfinement in relativistic nuclear collisions

We describe the remarkable accomplishments of the current heavy ion Pb--Pb collision experiments involving strange particle production, carried out at 158A GeV at CERN--SPS. These experimental results, together with the earlier 200A GeV S-induced reactions, imply that, at central rapidity, a novel mechanism of strangeness production arises, accompanied by excess entropy formation. We argue that: These results are consistent with the formation of a space-time localized, highly excited, dense state of matter; The freeze-out properties of strange hadrons are suggestive of the formation of a color-deconfined, thermally and nearly chemically equilibrated phase, which provides at present the only comprehensive framework to describe all experimental data; The matter fireball is undergoing a transverse expansion with nearly the velocity of sound of relativistic matter; longitudinal expansion is not in the scaling regime. We present a first analysis of the recent Pb-Pb results and discuss several alternative reaction scenarios. We evaluate quantitatively strangeness production in the deconfined quark-gluon phase and obtain yields in agreement with the experimental observations made in 200A GeV S--W and 158A GeV Pb-Pb interactions. We also present a qualitative discussion of J/Psi results consistent with our understanding of strange particle results.
Beta‐Binomial Distribution

Statistically, one can think of this distribution as a hierarchical model, starting with a binomial distribution Binom(x,N, θ) whose success parameter θ comes from a beta distribution, θ ∼ Beta(x, u, v). This distribution has a larger variance than the binomial distribution with a xed (known) parameter θ. We provide the usual set of functions to implement a distribution:  dbb is the distribution function.  pbb is the cumulative distribution function.  qbb is the quantile function.  rbb is the random-sample function. We start by comparing the distributions of a binomial distribution and a beta-binomial distribution. > N <20 > u <3 > v <10
The Relationship between FFMQ Mindfulness and Harmony in Life among Patients with Celiac Disease

Background Patients with Celiac Disease (CD) experience psychological disorders and emotion-regulation disruptions. Although following a gluten-free diet alleviates their symptoms, these patients report social relationship problems. Objective The first aim of this study was to analyze the level of FFMQ mindfulness (describing emotions, acting with awareness, observing, non-judging of inner experience, and non-reactivity to inner experience) and harmony in life (HiL) in patients with CD. The second goal was to examine the relationship between the FFMQ and HiL scales in patients with CD. The third was to detect the effects of the duration of the illness, education level, and employment status on FFMQ-measured mindfulness and HiL. Design The study involved 111 Turkish patients with CD (N Females = 75, 67.6%) living in Turkey. The patients filled out the FFMQ and HiL questionnaires via a google form survey. The duration of their diagnosis, age, employment status, and education level were nominal variables. A Pearsons’ correlation test, independent t-test, multiple linear regression, and one-way ANO VA were implemented. Results The results showed that patients with CD had a low level of HiL. The total FFMQ score was positively related to the HiL scale. Education and duration of diagnosis had a significant impact on the FFMQ and HiL scores. Age affected the level of describing emotions, and employment status had a strong effect on acting with awareness. However, gender affected neither the FFMQ nor HiL levels. Conclusion The results showed that patients with CD expressed a low level of HiL. Non-reactivity to inner experience, observing, and acting with awareness were positive predictors of the HiL scores. Moreover, since the HiL and FFMQ scales showed high internal consistency, the FFMQ and HiL questionnaires can be used in further studies of patients with CD.
On the submartingale problem for reflected diffusions in domains with piecewise smooth boundaries

Two frameworks that have been used to characterize reflected diffusions include stochastic differential equations with reflection and the so-called submartingale problem. We introduce a general formulation of the submartingale problem for (obliquely) reflected diffusions in domains with piecewise C^2 boundaries and piecewise continuous reflection vector fields. Under suitable assumptions, we show that well-posedness of the submartingale problem is equivalent to existence and uniqueness in law of weak solutions to the corresponding stochastic differential equation with reflection. Our result generalizes to the case of reflecting diffusions a classical result due to Stroock and Varadhan on the equivalence of well-posedness of martingale problems and well-posedness of weak solutions of stochastic differential equations in d-dimensional Euclidean space. The analysis in the case of reflected diffusions in domains with non-smooth boundaries is considerably more subtle and requires a careful analysis of the behavior of the reflected diffusion on the boundary of the domain. In particular, the equivalence can fail to hold when our assumptions are not satisfied. The equivalence we establish allows one to transfer results on reflected diffusions characterized by one approach to reflected diffusions analyzed by the other approach. As an application, we provide a characterization of stationary distributions of a large class of reflected diffusions in convex polyhedral domains.
MODERATING EFFECT OF HUMAN RESOURCE POLICIES ON BALANCED CONTRACT AND PERFORMANCE OF ACADEMIC STAFF IN SELECTED PUBLIC UNIVERSITIES

Purpose: The objective of the study envisaged examining moderating effect of human resource policies on balanced contract and performance of academic staff in selected public universities. Methodology: This study was conducted using descriptive and explanatory research design. Equity theory, proposed by Adams (1963) and regarded as a justice theory, anchored this study. This study targeted six public universities whose student population are above 15,000 and a minimum of 4 similar schools across the universities. The target population was 6 selected public universities with a population size of 6,271 academic staff. The sample size was 362 academic staff of the selected schools, in the selected public universities. Primary data was collected using a questionnaire, bearing both structured and semi-structured questions. Given that the dependent variable in this study is continuous, multiple linear regression was performed in this investigation. The hypotheses was tested from the regression model output and presented by way of Υ=β0+ β1Х1 + β2Х2 + β3Х3 + ε. Findings: The study findings demonstrated that human resources policies significantly moderated the relationship between balanced contract and performance of academic staff in selected universities in Kenya. The study concluded that progressive and interactive human resource policies communicate the values the institutions attribute to staff and can cause either sustainable performance of staff or negatively impact on the type of contract between employees and institutions. These policies also affect directly, the performance of staff by determining their level of job satisfaction. Equity theory, asserts that employees attempt to preserve parity between their contributions to a job and the rewards they receive, as compared to others' perceived contributions and incentives. Unique Contribution to Theory, Practice and Policy: The study finally recommends that human resource departments streamline existing HR policies and formulate new policies that will enable recognition of existence of various psychological contracts and provide ways of ensuring employees adopt balanced contracts that will have positive impact on staff performance.
Recognition of the Agricultural Named Entities With Multifeature Fusion Based on ALBERT

High quality agricultural named entity recognition (NER) model can provide effective support for agricultural information extraction, semantic retrieval and other tasks. However, the existing models ignore the potential characteristics of Chinese characters, resulting in the lack of internal semantics. Moreover, the agricultural text sequence is long, which leads to the lack of long-distance dependence of model capture. In order to solve the above problems, a self-attention mechanism RSA-CANER agricultural named entity recognition model is proposed which incorporating the potential characteristics of Chinese characters. First, the model takes character features and potential features of Chinese characters as input to enrich semantic information. Among them, character features are obtained based on ALBERT pre training tool, radical features are extracted based on convolutional neural network (CNN), and stroke features are extracted based on bidirectional long short-term memory model (BiLSTM). Then, based on the BiLSTM, the sequence characteristic matrix is obtained, and the self-attention mechanism is used to further enhance the ability of the model to capture long-distance dependence. Finally, the global optimal sequence is generated based on conditional random field (CRF) model. It obtains an F-score of 95.56%. The experimental results show that the model learns semantic information at multiple fine-grained levels of radicals and strokes, enriches the vector expression of target words, and its recognition precision is better than other models, improving the generalization ability of the model.
Genome-Wide Population Structure and Selection Signatures of Yunling Goat Based on RAD-seq

Simple Summary Goats are important domestic animals that provide meat, milk, fur, and other products for humans. The demand for these products has increased in recent years. Disease resistance among goat breeds is different, but the genetic basis of the differences in resistance to diseases is still unclear and needs to be further studied. In this study, many genes and pathways related to immunity and diseases were identified to be under positive selection between Yunling and Nubian goats using RAD-seq technology. This study on the selection signatures of Yunling goats provides the scientific basis and technical support for the breeding of domestic goats for disease resistance, which has important social and economic significance. Abstract Animal diseases impose a huge burden on the countries where diseases are endemic. Conventional control strategies of vaccines and veterinary drugs are to control diseases from a pharmaceutical perspective. Another alternative approach is using pre-existing genetic disease resistance or tolerance. We know that the Yunling goat is an excellent local breed from Yunnan, southwestern China, which has characteristics of strong disease resistance and remarkable adaptability. However, genetic information about the selection signatures of Yunling goats is limited. We reasoned that the genes underlying the observed difference in disease resistance might be identified by investigating selection signatures between two different goat breeds. Herein, we selected the Nubian goat as the reference group to perform the population structure and selection signature analysis by using RAD-seq technology. The results showed that two goat breeds were divided into two clusters, but there also existed gene flow. We used Fst (F-statistics) and π (pi/θπ) methods to carry out selection signature analysis. Eight selected regions and 91 candidate genes were identified, in which some genes such as DOK2, TIMM17A, MAVS, and DOCK8 related to disease and immunity and some genes such as SPEFI, CDC25B, and MIR103 were associated with reproduction. Four GO (Gene Ontology) terms (GO:0010591, GO:001601, GO:0038023, and GO:0017166) were associated with cell migration, signal transduction, and immune responses. The KEGG (Kyoto Encyclopedia of Genes and Genomes) signaling pathways were mainly associated with immune responses, inflammatory responses, and stress reactions. This study preliminarily revealed the genetic basis of strong disease resistance and adaptability of Yunling goats. It provides a theoretical basis for the subsequent genetic breeding of disease resistance of goats.
Factors Affecting Knowledge Sharing Behavior in The Virtual Teacher Community “Duta Rumah Belajar”

The purpose of this study was to examine the relationship between social capital variables (social ties, social trust, and shared vision), individual motivation (self-efficacy, Altruism, and reciprocal norms), and technology (perceived ease of use and enjoyment of participation). On knowledge sharing intention variable, knowledge sharing intention variable on knowledge sharing behavior, and the relationship between individual characteristics and all variables. This study involved 128 respondents from the online community Duta Rumah Belajar who are outstanding teachers representing 34 provinces in Indonesia who PUSDATIN strictly selected, the Ministry of Education and Culture to promote the Rumah Belajar portal). Data analysis used the Chi-Square method and the Structural Equation Model Partial Least Square (SEM PLS). The results showed that individual motivation had a significant effect on knowledge-sharing intentions. Social capital and technology had no significant impact on knowledge sharing intentions. Knowledge sharing intentions had a substantial effect on knowledge sharing behavior, and there were no differences in individual characteristics of all research variables.
Analyzing learners engagement in a micromasters program compared to non-degree MOOC

This study aimed to understand the relationship between course activities and learning progress among students enrolled in the MicroMasters certificate program offered in an affordable MOOC-based learning platform. In order to capture the relationship, the differences between the engagement patterns of learners in the MicorMasters program compared to a non-degree MOOC were examined by utilizing machine-learning (ML) techniques in the clickstream database. The ML analyses revealed discrepancies in activity patterns and progress rates of students enrolled in MicroMaster and MOOC courses. The findings can further support optimizing the program's design to enhance learners' engagement and improve the overall completion rates.
Graph Classes: A Survey

Preface 1. Basic Concepts 2. Perfection, Generalized Perfection, and Related Concepts 3. Cycles, Chords and Bridges 4. Models and Interactions 5. Vertex and Edge Orderings 6. Posets 7. Forbidden Subgraphs 8. Hypergraphs and Graphs 9. Matrices and Polyhedra 10. Distance Properties 11. Algebraic Compositions and Recursive Definitions 12. Decompositions and Cutsets 13. Threshold Graphs and Related Concepts 14. The Strong Perfect Graph Conjecture Appendix A. Recognition Appendix B. Containment Relationships Bibliography Index.
Arbres, permutations à motifs exclus et cartes planaires : quelques problèmes algorithmiques et combinatoires

Dans ce travail, nous nous interessons aux arbres en tant que structure de donnees dans divers algorithmes et en tant qu'outil pour la generation d'objets combinatoires. Dans une premiere partie, nous donnons des valeurs exactes pour le cout au pire (complexite amortie) de certaines transformations sur les arbres intervenant dans plusieurs algorithmes, comme l'algorithme de gestion de partitions et l'algorithme d'exclusion mutuelle de naimi et trehel. Dans la seconde partie, nous resolvons quelques problemes d'enumeration de permutations a motifs exclus par le biais de la caracterisation d'arbres de generations de ces objets par un systeme de reecriture. En particulier, nous etablissons une bijection entre les permutations triables par deux passages consecutifs dans une pile et les cartes planaires pointees non separables et en deduisons des formules d'enumeration pour ces permutations suivant plusieurs parametres
H/sub /spl infin// filter design for discrete-time uncertain nonlinear systems

This paper deals with the H/sub /spl infin// filtering problem for a class of discrete-time nonlinear systems with or without norm-bounded parameter uncertainty and unknown initial state. For the case when there is no parametric uncertainty in the system, we are concerned with designing a nonlinear H/sub /spl infin// filter such that the induced l/sub 2/ norm of the mapping from the noise signal to the estimation error is within a specified bound. We also consider the design of nonlinear filters which guarantee a prescribed H/sub /spl infin// performance irrespective of parameter uncertainties. <<ETX>>