Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk factors associated with failure of endoscopic combined treatment to prevent varices rebleeding in patients with liver cirrhosis

ABSTRACT Background The aim of this study is to investigate risk factors associated with gastroesophageal variceal rebleeding after endoscopic combined treatment. Research design and methods Patients who had liver cirrhosis and underwent endoscopic treatment to prevent variceal rebleeding were retrospectively recruited. Hepatic venous pressure gradient (HVPG) measurement and CT examination of portal vein system were performed before endoscopic treatment. Endoscopic obturation for gastric varices and ligation for esophageal varices were performed simultaneously at the first treatment. Results One hundred and sixty-five patients were enrolled, and after the first endoscopic treatment, recurrent hemorrhage occurred in 39 patients (23.6%) during 1-year follow-up. Compared to the non-rebleeding group, HVPG was significantly higher (18 mmHg vs.14 mmHg, P = 0.024) and more patients had HVPG exceeding 18 mmHg (51.3% vs.31.0%, P = 0.021) in the rebleeding group. No significant difference was found in other clinical and laboratory data between two groups (P > 0.05 for all). By a logistic regression analysis, high HVPG was the only risk factor associated with failure of endoscopic combined therapy (OR = 1.071, 95%CI, 1.005–1.141, P = 0.035). Conclusions The poor efficacy of endoscopic treatment to prevent variceal rebleeding was associated with high HVPG. Therefore, other therapeutic options should be considered for the rebleeding patients with high HVPG.
Evaluation of BNT162b2 Covid-19 Vaccine in Children Younger than 5 Years of Age

Abstract Background Safe and effective vaccines against coronavirus disease 2019 (Covid-19) are urgently needed in young children. Methods We conducted a phase 1 dose-finding study and are conducting an ongoing phase 2–3 safety, immunogenicity, and efficacy trial of the BNT162b2 vaccine in healthy children 6 months to 11 years of age. We present results for children 6 months to less than 2 years of age and those 2 to 4 years of age through the data-cutoff dates (April 29, 2022, for safety and immunogenicity and June 17, 2022, for efficacy). In the phase 2–3 trial, participants were randomly assigned (in a 2:1 ratio) to receive two 3-μg doses of BNT162b2 or placebo. On the basis of preliminary immunogenicity results, a third 3-μg dose (≥8 weeks after dose 2) was administered starting in January 2022, which coincided with the emergence of the B.1. 1.529 (omicron) variant. Immune responses at 1 month after doses 2 and 3 in children 6 months to less than 2 years of age and those 2 to 4 years of age were immunologically bridged to responses after dose 2 in persons 16 to 25 years of age who received 30 μg of BNT162b2 in the pivotal trial. Results During the phase 1 dose-finding study, two doses of BNT162b2 were administered 21 days apart to 16 children 6 months to less than 2 years of age (3-μg dose) and 48 children 2 to 4 years of age (3-μg or 10-μg dose). The 3-μg dose level was selected for the phase 2–3 trial; 1178 children 6 months to less than 2 years of age and 1835 children 2 to 4 years of age received BNT162b2, and 598 and 915, respectively, received placebo. Immunobridging success criteria for the geometric mean ratio and seroresponse at 1 month after dose 3 were met in both age groups. BNT162b2 reactogenicity events were mostly mild to moderate, with no grade 4 events. Low, similar incidences of fever were reported after receipt of BNT162b2 (7% among children 6 months to <2 years of age and 5% among those 2 to 4 years of age) and placebo (6 to 7% among children 6 months to <2 years of age and 4 to 5% among those 2 to 4 years of age). The observed overall vaccine efficacy against symptomatic Covid-19 in children 6 months to 4 years of age was 73.2% (95% confidence interval, 43.8 to 87.6) from 7 days after dose 3 (on the basis of 34 cases). Conclusions A three-dose primary series of 3-μg BNT162b2 was safe, immunogenic, and efficacious in children 6 months to 4 years of age. (Funded by BioNTech and Pfizer; ClinicalTrials.gov number, NCT04816643.)
Thermoacoustic and buoyancy-driven transport in a square side-heated cavity filled with a near-critical fluid

The mechanisms of heat and mass transport in a side-heated square cavity filled with a near-critical fluid are explored, with special emphasis on the interplay between buoyancy-driven convection and the Piston Effect. The Navier–Stokes equations for a near-critical van der Waals gas are solved numerically by means of an acoustically filtered, finite-volume method. The results have revealed some striking behaviour compared with that obtained for normally compressible gases: (i) heat equilibration is still achieved rapidly, as under zero-g conditions, by the Piston Effect before convection has time to enhance heat transport; (ii) mass equilibration is achieved on a much longer time scale by quasi-isothermal buoyant convection; (iii) due to the very high compressibility, a stagnation-point effect similar to that encountered in high-speed flows provokes an overheating of the upper wall; and (iv) a significant difference to the convective single-roll pattern generated under the same conditions in normal CO2 is found, in the form of a double-roll convective structure.
A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection

Objective. Automated artefact detection in the neonatal electroencephalogram (EEG) is crucial for reliable automated EEG analysis, but limited availability of expert artefact annotations challenges the development of deep learning models for artefact detection. This paper proposes a semi-supervised deep learning approach for artefact detection in neonatal EEG that requires few labelled data by training a multi-task convolutional neural network (CNN). Approach. An unsupervised and a supervised objective were jointly optimised by combining an autoencoder and an artefact classifier in one multi-output model that processes multi-channel EEG inputs. The proposed semi-supervised multi-task training strategy was compared to a classical supervised strategy and other existing state-of-the-art models. The models were trained and tested separately on two different datasets, which contained partially annotated multi-channel neonatal EEG. Models were evaluated using the F1-statistic and the relevance of the method was investigated in the context of a functional brain age (FBA) prediction model. Main results. The proposed multi-task and multi-channel CNN methods outperformed state-of-the-art methods, reaching F1 scores of 86.2% and 95.7% on two separate datasets. The proposed semi-supervised multi-task training strategy was shown to be superior to a classical supervised training strategy when the amount of labels in the dataset was artificially reduced. Finally, we found that the error of a brain age prediction model correlated with the amount of automatically detected artefacts in the EEG segment. Significance. Our results show that the proposed semi-supervised multi-task training strategy can train CNNs successfully even when the amount of labels in the dataset is limited. Therefore, this method is a promising semi-supervised technique for developing deep learning models with scarcely labelled data. Moreover, a correlation between the error of FBA estimates and the amount of detected artefacts in the corresponding EEG segments indicates the relevance of artefact detection for robust automated EEG analysis.
Status and determinants of saving behavior and intensity in pastoral and agro-pastoral communities of Afar regional state, Ethiopia

Saving is a crucial tool for enhancing the livelihoods of pastoral and agro-pastoral communities, but due to a number of factors, its status and intensity are still in their infancy. Because of this, the current state of saving practices, their causes, and the size of pastoral and agro-pastoral communities are all examined in this study. A multi-stage sampling process was used to determine the 600 typical selected households. In order to assess the data, a double hurdle model was used. From the descriptive analysis result, only 35% of pastoral and agro-pastoral groups were savers. In comparison to their counterparts, households who have access to credit, are financially literate, engage in non-farm activities, cultivate crops in addition to livestock husbandry, use informal financial institutions, are educated, and wealthier are more likely to be savers and eager to save a larger amount of property. Households with more livestock and who live far away from formal financial institutions, on the other hand, are less likely to be savers and save only a small fraction of their income. Male-headed families are more likely to participate in saving decisions, whereas female-headed households must save more than their male counterparts once they have opted to save. Instead of relying on ineffective monetary policy (changing interest rates), any concerned bodies should emphasize mixed farming practices, establish financial institutions nearby to improve saving habits, provide non-farm training, and empower women in order to close the gap between savers and non-savers and mobilize resources to save and invest. Furthermore, raise awareness of financial institutions’ products and services, as well as provide credit.
The dynamics of an explosively developing cyclone simulated by a general circulation model

Abstract The synoptic structure and dynamics of an explosively developing winter extratropical cyclone simulated by NCAR’s CCM2 general circulation model is examined and compared with cyclones that have developed explosively in nature. The primary diagnostic tool utilized in this analysis is the Zwack–Okossi equation. Synoptic results show that in addition to yielding an unusually large cyclone, the development initially occurred in the absence of a prominent upper-level trough. Rather, the surface disturbance was accompanied by an unusually strong upstream jet streak. Despite these departures from normally observed synoptic structure, the dynamics of the cyclone development and decay conformed to the dynamics found in observational cases. In particular, the cyclone developed in response to cyclonic vorticity and warm air advection, both of which maximized in the upper troposphere, and latent heat release, which were sufficient to overcome the cyclolytic effects of adiabatic cooling, friction, and sensibl.
On How to Be Liked in First Encounters: The Effects of Agentic and Communal Behaviors on Popularity and Unique Liking

When meeting other people for the first time, how should one behave in order to be liked? We investigated the effects of agentic and communal behaviors on two forms of being liked: popularity (being generally liked by others) and unique liking (being uniquely liked by specific interaction partners). In a round-robin study, 139 unacquainted German adults had dyadic conversations and provided liking ratings afterward. The conversations were recorded on video, and four agentic behaviors (leading, dominant, confident, boastful) and four communal behaviors (polite, benevolent, warm, friendly) were each rated by trained observers. Participants who generally showed agentic and communal behavior were also generally liked (popularity). When participants’ level of communal, but not agentic, behavior exceeded their personal standards during an interaction, they were particularly well-liked by the respective interaction partner (unique liking). The behavioral predictors of being liked thus differ, depending on whether one focuses on popularity or unique liking.
Effects of the Interruption Management Strategy “Stay S.A.F.E.” During Medication Administration

Abstract Purpose This study measured the impact of the Stay S.A. F.E. intervention on nursing students’ management of and response to interruptions during medication administration. Time to return to the primary task, performance (procedural failures and error rate), and perceived task load were evaluated. Design This experimental study used a randomized prospective trial. Methods Nursing students were randomized into two groups. Group 1 (the experimental group) received two educational PowerPoints: the Stay S.A. F.E. strategy and medication safety practices. Group 2 (the control group) received educational PowerPoint on medication safety practices. Nursing students participated in three simulations where they were interrupted during a simulated medication administration. Eye tracking of students’ eye movements determined focus, time to return to the primary task, performance including procedural failures and errors, and fixation time on the interrupter. The perceived task load was measured using the NASA Task Load Index. Results The intervention group, which was the Stay S.A. F.E. group, demonstrated a significant reduction in time away from task. There was a significant difference in perceived task load across the three simulations, including decreased frustration scores for this group as well. The control group members reported a higher mental demand, increased effort, and frustration. Clinical Relevance Rehabilitation units often hire new nursing graduates or individuals with little experience. For new graduates they have typically practiced their skills without interruptions. However, interruptions in performing care, particularly in medication management, occur frequently in real-world situations. Improving the education of nursing students related to interruption management has the potential to improve their transition to practice and patient care. Conclusion Students who received the Stay S.A. F.E. training, a strategy to manage interruptions in care, had decreasing frustration over time and spent more time on the task of medication administration.
Imaging Voltage Globally and in Isofrequency Lamina in Slices of Mouse Ventral Cochlear Nucleus

Abstract The cochlear nuclei (CNs) receive sensory information from the ear and perform fundamental computations before relaying this information to higher processing centers. These computations are performed by distinct types of neurons interconnected in circuits dedicated to the specialized roles of the auditory system. In the present study, we explored the use of voltage imaging to investigate CN circuitry. We tested two approaches based on fundamentally different voltage sensing technologies. Using a voltage-sensitive dye we recorded glutamate receptor-independent signals arising predominantly from axons. The mean conduction velocity of these fibers of 0.27 m/s was rapid but in range with other unmyelinated axons. We then used a genetically-encoded hybrid voltage sensor (hVOS) to image voltage from a specific population of neurons. Probe expression was controlled using Cre recombinase linked to c-fos activation. This activity-induced gene enabled targeting of neurons that are activated when a mouse hears a pure 15-kHz tone. In CN slices from these animals auditory nerve fiber stimulation elicited a glutamate receptor-dependent depolarization in hVOS probe-labeled neurons. These cells resided within a band corresponding to an isofrequency lamina, and responded with a high degree of synchrony. In contrast to the axonal origin of voltage-sensitive dye signals, hVOS signals represent predominantly postsynaptic responses. The introduction of voltage imaging to the CN creates the opportunity to investigate auditory processing circuitry in populations of neurons targeted on the basis of their genetic identity and their roles in sensory processing.
A NEW CONSTRUCTION FOR REGULAR SEMIGROUPS WITH QUASI-IDEAL ORTHODOX TRANSVERSALS

Abstract In any regular semigroup with an orthodox transversal, we define two sets R and L using Green’s relations and give necessary and sufficient conditions for them to be subsemigroups. By using R and L, some equivalent conditions for an orthodox transversal to be a quasi-ideal are obtained. Finally, we give a structure theorem for regular semigroups with quasi-ideal orthodox transversals by two orthodox semigroups R and L.
Reverse electron transfer is activated during aging and contributes to aging and age‐related disease

Mechanisms underlying the depletion of NAD+ and accumulation of reactive oxygen species (ROS) in aging and age‐related disorders remain poorly defined. We show that reverse electron transfer (RET) at mitochondrial complex I, which causes increased ROS production and NAD+ to NADH conversion and thus lowered NAD+/NADH ratio, is active during aging. Genetic or pharmacological inhibition of RET decreases ROS production and increases NAD+/NADH ratio, extending the lifespan of normal flies. The lifespan‐extending effect of RET inhibition is dependent on NAD+‐dependent Sirtuin, highlighting the importance of NAD+/NADH rebalance, and on longevity‐associated Foxo and autophagy pathways. RET and RET‐induced ROS and NAD+/NADH ratio changes are prominent in human induced pluripotent stem cell (iPSC) model and fly models of Alzheimer's disease (AD). Genetic or pharmacological inhibition of RET prevents the accumulation of faulty translation products resulting from inadequate ribosome‐mediated quality control, rescues relevant disease phenotypes, and extends the lifespan of Drosophila and mouse AD models. Deregulated RET is therefore a conserved feature of aging, and inhibition of RET may open new therapeutic opportunities in the context of aging and age‐related diseases including AD.
Deaths of profound despair: A retrospective cohort study of mortality among people experiencing homelessness

Introduction The number of people dying while unhoused is increasing nationally. In Santa Clara County (SCC), deaths of unhoused people have almost tripled in 9 years. This is a retrospective cohort study examining mortality trends among unhoused people in SCC. The objective of the study is to characterize mortality outcomes in the unhoused population, and compare these to the SCC general population. Materials and methods We obtained data from the SCC Medical Examiner-Coroner’s Office on unhoused people’s deaths that occurred between 2011–2019. We analyzed demographic trends and cause of death, compared to mortality data on the SCC general population obtained from CDC databases. We also compared rates of deaths of despair. Results There were a total of 974 unhoused deaths in the SCC cohort. The unadjusted mortality rate among unhoused people is higher than the general population, and unhoused mortality has increased over time. The standardized mortality ratio for unhoused people is 3.8, compared to the general population in SCC. The most frequent age of death among unhoused people was between 55–64 years old (31.3%), followed by 45–54 (27.5%), compared to 85+ in the general population (38.3%). Over ninety percent of deaths in the general population were due to illness. In contrast, 38.2% of unhoused deaths were due to substance use, 32.0% illness, 19.0% injury, 4.2% homicide, and 4.1% suicide. The proportion of deaths of despair was 9-fold higher in the unhoused cohort compared to the housed cohort. Discussion Homelessness has profound impacts on health, as people who are unhoused are dying 20 years younger, with higher rates of injurious, treatable, and preventable causes, than people in the general population. System-level, inter-agency interventions are needed. Local governments need to systematically collect housing status at death to monitor mortality patterns among unhoused people, and adapt public health systems to prevent rising unhoused deaths.
Robust semiclassical internal model based regulation for a class of hybrid linear systems

A new robust error-feedback regulator is proposed for a class of uncertain hybrid systems with periodic jumps, using a hybrid extension of the classical internal model principle. The plant need not be minimum phase, square nor SISO. The proposed regulator contains an internal model composed by two main units, a flow internal model providing the correct input to achieve regulation during flows, and a jump internal model resetting the state of the regulator at each period. Such a structure reminds internal model design for ripple-free regulation of sampled-data systems; an important difference is that here the jump internal model must contain more copies of the relevant dynamics of the exosystem with respect to the flow internal model.
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

The increasing use of Machine Learning (ML) software can lead to unfair and unethical decisions, thus fairness bugs in software are becoming a growing concern. Addressing these fairness bugs often involves sacrificing ML performance, such as accuracy. To address this issue, we present a novel counterfactual approach that uses counterfactual thinking to tackle the root causes of bias in ML software. In addition, our approach combines models optimized for both performance and fairness, resulting in an optimal solution in both aspects. We conducted a thorough evaluation of our approach on 10 benchmark tasks using a combination of 5 performance metrics, 3 fairness metrics, and 15 measurement scenarios, all applied to 8 real-world datasets. The conducted extensive evaluations show that the proposed method significantly improves the fairness of ML software while maintaining competitive performance, outperforming state-of-the-art solutions in 84.6% of overall cases based on a recent benchmarking tool.
An Omnidirectional Approach to Touch-based Continuous Authentication

This paper focuses on how touch interactions on smartphones can provide a continuous user authentication service through behaviour captured by a touchscreen. While efforts are made to advance touch-based behavioural authentication, researchers often focus on gathering data, tuning classifiers, and enhancing performance by evaluating touch interactions in a sequence rather than independently. However, such systems only work by providing data representing distinct behavioural traits. The typical approach separates behaviour into touch directions and creates multiple user profiles. This work presents an omnidirectional approach which outperforms the traditional method independent of the touch direction - depending on optimal behavioural features and a balanced training set. Thus, we evaluate five behavioural feature sets using the conventional approach against our direction-agnostic method while testing several classifiers, including an Extra-Tree and Gradient Boosting Classifier, which is often overlooked. Results show that in comparison with the traditional, an Extra-Trees classifier and the proposed approach are superior when combining strokes. However, the performance depends on the applied feature set. We find that the TouchAlytics feature set outperforms others when using our approach when combining three or more strokes. Finally, we highlight the importance of reporting the mean area under the curve and equal error rate for single-stroke performance and varying the sequence of strokes separately.
Oriented closed surface complexes and the Kitaev model

A kind of combinatorial map, called arrow presentation, is proposed to encode the data of the oriented closed surface complex Sigma on which the Hopf algebraic Kitaev model lives. We develop a theory of arrow presentations which underlines the role of the dual of the double of Sigma as being the Schreier coset graph of the arrow presentation, explains the ribbon structure behind curves on D(Sigma)* and facilitates computation of holonomy with values in the algebra of the Kitaev model. In this way we can prove ribbon operator identities for arbitrary f.d. C*-Hopf algebras and arbitrary oriented closed surface complexes. By means of a combinatorial notion of homotopy designed specially for ribbon curves we can rigorously formulate"topological invariance"of states created by ribbon operators.