Miracle-dz/UniFAR-FTUs huggingface dataset:
Roles of recalled parenting experiences and effortful control in adult daily emotion regulation

ABSTRACT Research suggests that both childhood experiences with one’s parents and individual differences in effortful control contribute to adult emotion regulation (ER). However, it is unclear how they associate with specific ER processes. In this adult study, we examined the roles of recalled parenting experiences and effortful control in daily ER selection and implementation. Using ecological momentary assessment (EMA), we focused on ER strategies of reappraisal, suppression, and rumination. We hypothesized recalled parental warmth, rejection, and overcontrol to predict adult ER selection and effectiveness of ER implementation and effortful control to mediate these effects. One hundred twenty-two adults answered self-reported questionnaires on their childhood experiences with their parents and effortful control. In EMA, they reported ER and emotions seven times daily for seven days. Recalled parental warmth predicted less suppression and rumination, whereas recalled overcontrol, especially in fathers, predicted greater suppression and reappraisal. However, recalled parenting experiences did not predict the effectiveness of ER implementation, and no support was found for the mediating role of effortful control between recalled parenting experiences and ER. Our findings suggest that recalled parenting experiences may guide adult ER selection rather than shape ER implementation, and these links may be largely independent of their effortful control.
Monocyte heterogeneity in cardiovascular disease

Abstract Monocytes circulate the vasculature at steady state and are recruited to sites of inflammation where they differentiate into macrophages (MФ) to replenish tissue-resident MФ populations and engage in the development of cardiovascular disease (CVD). Monocytes display considerable heterogeneity, currently reflected by a nomenclature based on their expression of cluster of differentiation (CD) 14 and CD16, distinguishing CD14++CD16− classical (cMo), CD14++CD16+ intermediate (intMo) and CD14+CD16++ non-classical (ncMo) monocytes. Several reports point to shifted subset distributions in the context of CVD, with significant association of intMo numbers with atherosclerosis, myocardial infarction, and heart failure. However, clear indications of their causal involvement as well as their predictive value for CVD are lacking. As recent high-parameter cytometry and single-cell RNA sequencing (scRNA-Seq) studies suggest an even higher degree of heterogeneity, better understanding of the functionalities of these subsets is pivotal. Considering their high heterogeneity, surprisingly little is known about functional differences between MФ originating from monocytes belonging to different subsets, and implications thereof for CVD pathogenesis. This paper provides an overview of recent findings on monocyte heterogeneity in the context of homeostasis and disease as well as functional differences between the subsets and their potential to differentiate into MФ, focusing on their role in vessels and the heart. The emerging paradigm of monocyte heterogeneity transcending the current tripartite subset division argues for an updated nomenclature and functional studies to substantiate marker-based subdivision and to clarify subset-specific implications for CVD.
CYP3A4*22 may increase bleeding risk in ticagrelor users

VTT Technical Research Centre of Finland Ltd., Oulu, Finland VTT Technical Research Centre of Finland Ltd., Tampere, Finland VTT Technical Research Centre of Finland Ltd., Kuopio, Finland Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland Faculty of Medicine, Clinicum, University of Helsinki, Helsinki, Finland Department of Clinical Pharmacology and Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland VTT Technical Research Centre of Finland Ltd., Espoo, Finland
Azole non-susceptible C. tropicalis and polyclonal spread of C. albicans in Central Vietnam hospitals.

INTRODUCTION Candida spp. are responsible for infections ranging from local to systemic, and resistance to antifungal first-line therapy is increasing in non-albicans Candida species. We aimed to determine the etiology of candidiasis and the antifungal resistance of Candida spp. isolated in Hue hospitals, Central-Vietnam. METHODS Species identification was performed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry supported by fungal internal-transcribed-spacer amplification and sequencing. Antifungal susceptibility testing was performed by disk diffusion method and minimum inhibitory concentrations of azoles, caspofungin, and amphotericin B against C. tropicalis were determined by broth microdilution. Polymorphism of erg11 gene associated with fluconazole resistance was carried out by polymerase chain reaction and sequencing. Multilocus sequence typing (MLST) was used for typing selected C. albicans isolates. RESULTS Overall, 196 Candida isolates were detected, mostly C. albicans (48%), followed by C. tropicalis (16%), C. parapsilosis (11%), C. glabrata (9%), C. orthopsilosis (6%) and to a lesser extent another eight species. High rates of resistance to fluconazole and voriconazole (18.8%) were observed in C. tropicalis with five isolates co-resistant to both agents. Y132F and S154F missense mutations in the ERG11 protein were associated with fluconazole-resistance in C. tropicalis (67.7%). Resistance to caspofungin was found in one isolate of C. albicans. MLST identified a polyclonal population of C. albicans with multiple diploid sequence types, and with few lineages showing potential nosocomial spread. CONCLUSIONS Resistance to triazole agents should be considered in C. tropicalis infections in the studied hospitals, and surveillance measures taken to avoid Candida diffusion.
A scoping review of the association between loot boxes, esports, skin betting, and token wagering with gambling and video gaming behaviors

Abstract Background and aims Many new digital gambling-like activities such as loot boxes, esports betting, skin betting, and token wagering have recently emerged and grown in popularity. This scoping review aimed to: (a) synthesize the existing empirical research literature on gambling-like activities and their associations with gambling and video gaming behaviors, including problem gambling and video gaming; (b) identify sociodemographic, psychological, and motivational factors associated with engagement in gambling-like activities; and (c) identify research gaps and areas for further research. Methods A systematic search of Ovid, Embsco, and ProQuest databases and Google Scholar was conducted in May 2021 and last updated in February 2022. The search yielded a total of 2,437 articles. Articles were included in the review if they were empirical studies that contained quantitative or qualitative results regarding the relationship between gambling-like activities and gambling or gaming. Results Thirty-eight articles met inclusion criteria and were included in the review. Overall, the review results suggest that all forms of gambling-like activities were positively associated with gambling and gaming with small to medium effects. Gambling-like activity participation was also positively associated with mental distress and impulsivity. Gaps identified included a lack of inquiry into skin betting and token wagering, a lack of diversity in the research methods (i.e., mainly cross-sectional surveys), and a paucity of research that includes more ethnically, culturally, and geographically diverse populations. Discussion Longitudinal studies with more representative samples are needed to examine the causal link between gambling-like activities and gambling and video gaming.
Programmed death ligand‐1 expression and occult lymph node metastasis in non‐small cell lung cancer

Identifying the preoperative risk factors for lymph node upstaging could contribute to the development of individualized perioperative treatment for patients with non‐small cell lung cancer (NSCLC). The current study aimed to evaluate the risk factors for lymph node upstaging, including gene mutation and programmed death ligand‐1 expression in patients with resectable NSCLC.
Nurse practitioners' preferences for online learning regarding driving and dementia

Supplemental Digital Content is Available in the Text. ABSTRACT With a growing population of older adults living with dementia in the community, nurse practitioners (NPs) are increasingly expected to address issues of medical fitness to drive (MFTD) and driving cessation within their clinical practice. With their expertise in clinical assessment and communication skills, NPs are well suited to this area of practice. Studies that examined MFTD and/or driving cessation suggest that NPs want and need further knowledge and training with this population. As part of our aim to develop an online educational program on driving and dementia for health care providers, including NPs, this mixed-methods study explored NPs' preferences regarding the format and content for the proposed online program. Results from an online survey completed by 90 NPs and interviews with six NPs highlighted key areas of focus for virtual modules, where communication strategies, tools to assess MFTD, and the reporting process for medically unfit drivers were emphasized. Reflecting on their team approach to care, participants in this study preferred a hybrid approach of asynchronous and synchronous learning delivery for this educational program. The next step will be to evaluate this program and its impact on both NP knowledge and skills in terms of its real-world application.
DIRECT NUMERICAL SIMULATION OF A FULLY DEVELOPED TURBULENT CHANNEL FLOW

Direct numerical simulation has been carried out to investigate turbulent flow characteristics in plane channel. The Reynolds number based on the friction velocity and the channel half width is 150. Grid number is 64×64×64. Instantaneous velocity fluctuation contours are obtained at several dimensionless wall distances y+, which are helpful to understand turbulent flow mechanism. In the paper the Reynolds shear stress distribution, the budget of Reynolds stress transport equation and turbulent kinetic energy equation are presented, and according to these data different turbulent models can be assessed and improved.
Optimization of the atrioventricular delay in conduction system pacing

In patients receiving conduction system pacing (CSP), it is not well established how to program the sensed atrioventricular delay (sAVD), with respect to the type of capture obtained (selective, nonselective His‐bundle [HB] capture or left bundle branch [LBB] capture). The aim of this study was to acutely assess the effectiveness of an electrophysiology (EP)‐guided method for sAVD optimization by comparing it with the echocardiogram‐guided optimization.
The ClaDS rate-heterogeneous birth–death prior for full phylogenetic inference in BEAST2

Abstract Bayesian phylogenetic inference requires a tree prior, which models the underlying diversification process that gives rise to the phylogeny. Existing birth–death diversification models include a wide range of features, for instance, lineage-specific variations in speciation and extinction (SSE) rates. While across-lineage variation in SSE rates is widespread in empirical datasets, few heterogeneous rate models have been implemented as tree priors for Bayesian phylogenetic inference. As a consequence, rate heterogeneity is typically ignored when reconstructing phylogenies, and rate heterogeneity is usually investigated on fixed trees. In this paper, we present a new BEAST2 package implementing the cladogenetic diversification rate shift (ClaDS) model as a tree prior. ClaDS is a birth–death diversification model designed to capture small progressive variations in birth and death rates along a phylogeny. Unlike previous implementations of ClaDS, which were designed to be used with fixed, user-chosen phylogenies, our package is implemented in the BEAST2 framework and thus allows full phylogenetic inference, where the phylogeny and model parameters are co-estimated from a molecular alignment. Our package provides all necessary components of the inference, including a new tree object and operators to propose moves to the Monte-Carlo Markov chain. It also includes a graphical interface through BEAUti. We validate our implementation of the package by comparing the produced distributions to simulated data and show an empirical example of the full inference, using a dataset of cetaceans.
Spatial Variability of Surface Radiation Fluxes in Mountainous Terrain

Abstract This paper investigates the magnitude and causes of spatial variability of surface radiative fluxes in a complex alpine landscape in the Southern Alps of New Zealand. Radiative flux components are simulated for the Tekapo watershed at 100-m resolution for clear-sky summer days, using a surface radiation budget model in conjunction with satellite imagery and topographic modeling to derive surface parameters. Overall, the model results agree well with observations made at a range of sites, with shortwave fluxes simulated more accurately than longwave fluxes. Sensitivity studies were conducted to isolate the role of spatial variability of surface characteristics in generating variance in the radiation budget. In order of most to least important, these characteristics were found to be slope aspect, slope angle, elevation, albedo, shading, sky view factor, and leaf area index. Spatial variability was greatest in midmorning and midafternoon, as a function of optical depth. The role of landscape complex.
MULTI-RESOLUTION ANALYSIS OF TURBULENT CHANNEL FLOWS WITH SPANWISE WALL OSCILLATION

Spanwise wall oscillation is a control strategy to suppress streamwise vortices near the wall in a channel flow, leading to significant reduction of skin friction forces in the channel. Since the sweeping and ejection motions of the streamwise vortices enhances mixing between low and high-momentum fluids in the near-wall region, the suppression of streamwise vortices leads to an effective control of the skin friction of the channel. Even though many investigations focused on the effect of skin friction reduction by spanwise wall oscillation, there has not yet been a study regarding a multi-resolution analysis using a discrete wavelet transform. In the present study, the multi- resolution analysis was performed to investigate the scale-resolved streamwise vortices controlled by the spanwise wall oscillation. The maximal overlap discrete wavelet transform (MODWT) was used as a means for the multi-resolution analysis. From this scale-resolved analysis, it was found that the smallest scales rather than larger scales of streamwise vortices were effectively suppressed by the spanwise wall oscillation. It was also conjectured that the Stokes flow, induced by the spanwise wall oscillation, accelerated viscous dissipation of the smallest scale motions, because the spanwise wall oscillation increased frictional motion between the turbulent channel flow and the Stokes flow.
Event-Triggered Impulsive Control for Input-to-State Stabilization of Nonlinear Time-Delay Systems

This article investigates the event-triggered impulsive control (ETIC) problem for a class of nonlinear time-delay systems subject to exogenous disturbances. An original event-triggered mechanism (ETM) which utilizes the information of system state and external input is constructed based on Lyapunov function approach. To achieve the input-to-state stability (ISS) of the considered system, some sufficient conditions are presented, in which the underlying relationship among ETM, exogenous input, and impulse action is established. Furthermore, the possible Zeno behavior induced by the proposed ETM is excluded simultaneously. As an application, the design criterion of ETM and impulse gain is put forward for a class of impulsive control systems with delay according to the feasibility of some linear matrix inequalities (LMIs). Finally, two examples with numerical simulations are provided to confirm the effectiveness of the developed theoretical results, where the synchronization issue of delayed Chua’s circuit is considered.
From Anomalies to Forecasts: A Choice Prediction Competition for Decisions under Risk and Ambiguity

This paper aims to facilitate the derivation of models that can capture the classical choice anomalies and provide useful forecasts of decisions under risk and ambiguity. Study 1 replicates 14 well-known anomalies (including Allais and Ellsberg paradoxes). Subjects faced each of 30 problems for 25 trials, and received feedback starting at trial 6. Study 2 examines 60 choice problems randomly drawn from a space that generalizes the 30 replication problems. The results reveal the robustness of the classical anomalies, but show that the popular descriptive models cannot capture all the phenomena with one set of parameters. We address this difficulty by organizing a choice prediction competition (see http://departments.agri.huji.ac.il/cpc2015). The participants (other researchers) are challenged to predict the results of Study 3, which will include 60 new problems drawn by the same method and from the same space as the problems in Study 2.
Experiences of Exergaming for Upper Extremity Exercises in People With Systemic Sclerosis

Impaired upper extremity (UE) function has limited activities of daily living in people with systemic sclerosis (SSc). Exergaming, a combination of gaming and exercises, could be a novel way to improve UE exercise engagement. The objective of this study was to examine the usability of exergaming and to investigate participant experiences after exergaming among people with SSc. Both quantitative and qualitative data were collected. Participants completed questionnaires regarding the usability of exergaming. Semi-structured interviews were conducted directly after exergaming. Descriptive statistics and thematic content analysis were performed. Twenty participants with SSc participated. Exergaming was highly acceptable with a good System Usability Scale score (M = 71.6 ± 9.9). Participants described exergaming as motivating with potential physical and nonphysical benefits. Although results were generally positive, participants expressed some barriers and temporary side effects of using exergaming and needs for improvement. This work stands to inform future exergaming interventions in people with SSc.
A scoping review of autism research conducted in Central Asia: Knowledge gaps and research priorities

Very little is known about the status of autism research in Central Asia. The purpose of this scoping review was to examine the scope and focus of the peer-reviewed research studies conducted with autistic people and their families in five Central Asian countries—Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The electronic databases of EBSCO Host and Web of Science were used for systematic search of literature. Eleven articles that met eligibility criteria were included in the review and analyzed for topics and research areas outlined in the Interagency Autism Coordinating Committee Strategic Plan. Ten of these studies were conducted in Kazakhstan and one in Uzbekistan using qualitative, quantitative, and mixed-methods research designs. Five of the seven research areas—Diagnosis, Biology, Risk Factors, Services, and Treatment and Interventions—were represented in these studies, while there were no studies identified in the areas of Lifespan Issues or Infrastructure and Surveillance, highlighting a gap in research. None of the studies reported co-authorship of scientists from Central Asian countries. The review identified knowledge gaps and research needs to guide future research in autism in Central Asia to address the needs of autistic individuals and their families living in this region. Lay abstract Very little is known about the status of autism research in Central Asia. Through the library databases, we identified and reviewed 11 scientific studies conducted with autistic people and their families in five Central Asian countries—Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. Of the 11 studies, 10 were conducted in Kazakhstan and 1 in Uzbekistan. Within these limited number of research studies, different topics such as diagnosis, risk factors of autism, biology, and various service and intervention areas were addressed. We identified several knowledge gaps and research priorities to address the needs of autistic people, their families, and professionals in Central Asia.
Skeletal Muscle Mitochondrial Respiration and Exercise Intolerance in Patients With Heart Failure With Preserved Ejection Fraction

Key Points Question Does mitochondrial dysfunction underlie altered skeletal muscle metabolism and exercise intolerance in patients with heart failure with preserved ejection fraction (HFpEF)? Findings In this cross-sectional study including 27 patients older than 60 years with HFpEF and 45 healthy age-matched controls, high-resolution respirometry of vastus lateralis muscles from patients with HFpEF revealed markedly reduced bioenergetic capacity associated with peak exercise oxygen consumption and exercise performance (6-minute walk distance, Short Physical Performance Battery, and leg strength). Meaning In this study, detailed analysis of mitochondrial function provided evidence that skeletal muscle mitochondrial dysfunction can play a role in HFpEF exercise intolerance, which may impact the development of therapeutic strategies that target mitochondrial dysfunction in patients with HFpEF.
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association

Detecting potential associations between drugs and diseases plays an indispensable role in drug development, which has also become a research hotspot in recent years. Compared with traditional methods, some computational approaches have the advantages of fast speed and low cost, which greatly accelerate the progress of predicting the drug-disease association. In this study, we propose a novel similarity-based method of low-rank matrix decomposition based on multi-graph regularization. On the basis of low-rank matrix factorization with <inline-formula><tex-math notation="LaTeX">$L_{2}$</tex-math><alternatives><mml:math><mml:msub><mml:mi>L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math><inline-graphic xlink:href="guo-ieq1-3274587.gif"/></alternatives></inline-formula> regularization, the multi-graph regularization constraint is constructed by combining a variety of similarity matrices from drugs and diseases respectively. In the experiments, we analyze the difference in the combination of different similarities, resulting that combining all the similarity information on drug space is unnecessary, and only a part of the similarity information can achieve the desired performance. Then our method is compared with other existing models on three data sets (Fdataset, Cdataset and LRSSLdataset) and have a good advantage in the evaluation measurement of AUPR. Besides, a case study experiment is conducted and showing that the superior ability for predicting the potential disease-related drugs of our model. Finally, we compare our model with some methods on six real world datasets, and our model has a good performance in detecting real world data.