Miracle-dz/UniFAR-FTUs huggingface dataset:
Team behaviors as antecedents for team members’ work engagement in interdisciplinary health care teams

Introduction Due to the increasing complexity and diversity of work tasks in teams, teams need team members who are dedicated and energetic, both characteristics attributed to team members’ work engagement. Especially in the domain of health care, high demands at work impact professionals’ work engagement. Despite teams being the main work unit in this domain, team research on antecedents of work engagement has been neglected. The present study examines the role of team behaviors such as reflection activities in the relationships between demands at work and team members’ work engagement. In doing so, the study aims to extend findings on team behaviors by considering cognitive and work-task related team behaviors as well as team behaviors that focus on emotional aspects. Methods Data of 298 team members of 52 interdisciplinary teams of health and social care organizations which provide care and assistance were collected in this cross-sectional survey study. Relationships between team demands at work, team learning behaviors, dealing with emotions in the team and team members’ work engagement were estimated in a mediation model using structural equation modeling (SEM). Results The results indicate that team members’ work engagement is positively related to team learning behaviors and dealing with emotions in the team. Cognitive team demands at work such as the complexity of work tasks, were found to relate positively to team members’ work engagement, while emotional team demands such as the amount of emotional labor at work had a negative relationship. Team learning behaviors and dealing with emotions in the team were found to mediate the relationship between team demands at work and team members’ work engagement. Discussion Our results provide insights into the actual behavior of teams in the domain of health care, both on cognitive and emotional aspects, and the capability of team learning behaviors and dealing with emotions in the team to mediate the relationship between team demands at work and team members’ work engagement. The findings encourage future researchers and practitioners to address cognitive, emotional and motivational components in team research to provide a better understanding of team conditions, team behavior and team outcomes.
Dark Matter from the Top - Simplified Models of Flavoured Dark Matter in Dark Minimal Flavour Violation

The mystery of dark matter is one of the biggest—if not the biggest—open questions in modern day physics. Dark matter (DM), connecting elements of particle physics and cosmology, poses a diverse, challenging and interesting field of research. In this thesis, we study the phenomenology of simplified models of flavoured dark matter (FDM) beyond Minimal Flavour Violation (MFV). For the first time, two models, coupling a dark matter flavour triplet to the Standard Model (SM) up-quark flavour triplet and to the SM lefthanded quark-doublets respectively, are studied in the framework of Dark Minimal Flavour Violation (DMFV). The concept of DMFV has been introduced recently, allowing for a DMquark coupling matrix of generic flavour structure. Hence, in this framework, the DM-quark coupling matrix constitutes a new source of both flavour and CP violation. We impose constraints from flavour experiments, the observed relic abundance, direct detection searches and new physics searches at colliders on the models, finding a rich phenomenology with an interesting interplay of effects. Among the multitude of effects, we especially want to emphasize the observed lower bound on the dark matter mass, resulting from the combined constraints. This lower bound significantly increases in light of future direct detection experiments, raising the chances to discover dark matter. This analysis hence constitutes a strong motivation for ongoing direct detection searches. Overall, we find that the combined analysis favours the scenario of top-flavoured dark matter, i.e. a DM relic which couples primarily to the SM top-quark. Furthermore, we identify areas of valid parameter space which are far different from the valid parameter space in the MFV limit. In conclusion, going beyond MFV is found to be well motivated, with DMFV as an excellent guidance.
The Functioning of Offspring of Depressed Parents: Current Status, Unresolved Issues, and Future Directions

Although the intergenerational transmission of risk for depression is well documented, the mechanisms and moderators involved in this transmission of risk from depressed parents to their offspring are not clear. In this review, we discuss the progress that has been made over the past two decades in studying offspring of depressed parents and describe the maladaptive characteristics of these offspring in a diverse range of domains, including clinical, cognitive, and biological functioning. Despite recent advances in this area, there are unresolved questions that warrant further investigation involving the nature of risk transmission from parent to offspring, the specificity of findings to depression, and the role of factors that often accompany depression. We discuss these issues and offer directions for future research that we believe will move the field forward in gaining a better understanding of the relation between parental depression and altered psychobiological functioning in their offspring. Expected final online publication date for the Annual Review of Developmental Psychology, Volume 5 is December 2023. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Thinned knowledge-aided STAP by exploiting structural covariance matrix

The authors propose a thinned knowledge-aided space–time adaptive processing (STAP) scheme based on structural prior information of the clutter covariance matrix (CCM). Due to the low-rank Toeplitz-block-Toeplitz structure of the CCM, the CCM can be expressed by a series of basis matrices on the clutter ridge. In contrast to the expression based on the Vandermonde decomposition of the CCM, this expression can avoid searching of the clutter subspace. This expression also allows reducing the dimension of STAP and estimating the CCM with compressed data. Based on this expression, the authors derive a closed-form CCM estimate using a modified generalised least squares (GLS) method, and the proposed estimator is unbiased, consistent and more asymptotically efficient than the conventional GLS method. We derive the average signal-to-clutter-noise ratio loss (SCNRL) of the STAP filter using the proposed CCM estimates. Exploiting the prior structural information of the CCM can enhance the STAP performance with a limited sample size, and a lower compression rate can achieve more improvement. Finally, a unified framework is proposed for covariance estimation and SCNRL analysis when structural information of the CCM is exploited. Simulations also validate these results.
Recent progress on diaCEST MRI for tumor imaging

Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is an advanced imaging method that probes the chemical exchange between bulk water protons and exchangeable solute protons. This chemical exchange decreases the MR signal of water and reveals the distribution and concentration of certain endogenous biomolecules or extrogenous contrast agents in organisms with high sensitivity and spatial resolution. The CEST signal depends not only on the concentration of the CEST contrast agent and external magnetic field but also on the surrounding environments of the contrast agent, such as pH and temperature, thus enabling CEST MRI to monitor pH, temperature, metabolic level, and enzyme activity in vivo. In this review, we discuss the principle of CEST MRI and mainly summarize the recent progress of diamagnetic CEST (diaCEST) contrast agents on tumor imaging, diagnosis, and therapy effect evaluation.
FSI Analysis of Solitary Wave Interacting With Horizontal Flexible Plate by MPS-FEM Method

That the solitary wave impacting onto the horizontal plate above the surface is investigated numerically using Moving Particle Semi-Implicit and finite element coupled method (MPS-FEM) in this paper. The wave-induced force and pressure distribution on the bottom of the plate are the major concerns in this research. Case of the rigid plate in three-dimensional situations is initially considered. The comparisons between the calculated vertical and horizontal force and the available experimental results show fair agreement, which indicate that the solver can successfully predict the wave-induced forces. The simulation of two-dimensional solitary wave impacting onto flexible plate is finally conducted. Results from cases of the flexible and the rigid plate are compared to investigate the effects of flexibility on the wave-plate interaction.
Predicting the immune microenvironment and prognosis with a anoikis - related signature in breast cancer

Background Tumor heterogeneity is widely recognized as a crucial factor impacting the prognosis of breast cancer (BC) patients. However, there remains an insufficient understanding of the underlying impact of anoikis on the prognosis of BC patients. Methods The researchers utilized the TCGA-BRCA dataset to screen and analyze the differentially expressed genes of anoikis-related genes (ARGs) in BC and normal breast tissue. Prognostic gene signatures were established through univariate, LASSO, and multivariate Cox regression analyses. These signatures were evaluated using Kaplan-Meier curve and receiver operating characteristic (ROC) analyses, resulting in the development of an anoikis-related index (ACI). The training dataset was TCGA-BRCA, while METABRIC and GSE96058 were used for external validation. Additionally, nomograms were developed by combining risk scores and clinical parameters, enabling gene set enrichment analysis (GSEA) and tumor immunoassay. Furthermore, an exploration of small molecule compounds was conducted to identify potential therapeutic benefits. Results A six-gene anoikis-related signature was constructed, which divided BC patients into high- and low-ACI groups based on median ACI scores. The ACI accurately predicted prognosis and acted as an independent prognostic factor for BC patients. Patients in the high-ACI group exhibited poorer overall survival (OS) across all cohorts and showed more severe clinical manifestations compared to the low-ACI group. The study also explored the potential impacts of anoikis on immune cells infiltrating tumors, immune checkpoints, growth factors, and cytokine levels. Additionally, the potential implications of anoikis in BC immunotherapy were discussed, along with highlighting small molecule compounds that could offer therapeutic benefits. Conclusions Anoikis was found to hold significant prognostic value in breast cancer, providing a novel approach for managing patients with different prognoses and implementing more precise immunotherapy strategies.
Relationship closeness as a protective factor against the sensitizing effect of adversity history

Exposure to adversity has been shown to amplify individuals’ sensitivity to stress, increasing the risk of developing mental health problems in adulthood. Romantic relationships can serve as a broad resource in mitigating the negative impacts of adversity and stress on mental health; however, less is known about how everyday moments of closeness with one’s romantic partner impact experiences of daily stress for people exposed to adversity. The present study uses ecological momentary assessment to examine moment-to-moment relationship closeness as a protective buffer against the effects of stress and adversity history (AH) on mood. Using a mobile app, 109 emerging adult couples (M age = 23.1) reported hourly feelings of stress, relationship closeness, and mood (i.e., happy, sad, nervous, angry) for one day. Results showed AH and relationship closeness each moderated the association between stress and negative mood. Specifically, greater AH was associated with increased same-hour links between stress and heightened nervousness and anger. Greater relationship closeness was associated with decreased drops in happiness and decreased rises in sadness and anger when stressed. A 3-way interaction between stress, AH, and relationship closeness indicated higher relationship closeness was a buffer against the impact of stress on happiness and anger. Specifically, high relationship closeness mitigated drops in happiness when stressed, especially for those with high AH; relationship closeness also mitigated rises in anger, but this effect was heightened for those with low AH. Exploratory gender moderation analyses showed complex links between stress, AH, closeness, and mood, with evidence indicating enhanced emotional intensity in women when stressed and enhanced protective benefits of relationship closeness in men, although this pattern was inconsistent. The discussion focuses on how experiences of AH can carry forward to shape emotional responses in adults and how relationship closeness may serve as a protective factor against the sensitizing effects of AH.
Lattice instability during phase transformations under multiaxial stress: Modified transformation work criterion

Valery I. Levitas,1,2 Hao Chen,3 and Liming Xiong3 1Departments of Aerospace Engineering, Mechanical Engineering, and Material Science and Engineering, Iowa State University, Ames, Iowa 50011, USA 2Ames Laboratory, Division of Materials Science and Engineering, Ames, Iowa 50011, USA 3Department of Aerospace Engineering, Iowa State University, Ames, Iowa 50011, USA (Received 15 December 2016; revised manuscript received 22 June 2017; published 29 August 2017)
Molecular Mapping of Allergen Exposome among Different Atopic Phenotypes

Climate change and exposure to environmental pollutants play a key role in the onset and aggravation of allergic diseases. As different climate-dependent patterns of molecular immunoglobulin E (IgE) reactivity have been regionally described, we sought to investigate the evolving allergen exposome in distinctive allergic phenotypes and subtropical weather conditions through a Precision Allergy Molecular Diagnosis (PAMD@) model. Concurrent sensitization to several house dust mites (HDM) and storage mite molecules were broadly dominant in the investigated cohort, followed by the major cat allergen Fel d 1, and regardless of the basal allergic disease. Although a complex repertoire of allergens was recognized, a steadily increasing number of IgE binding molecules was associated with the complexity of the underlying atopic disease. Besides the highly prevalent IgE responses to major HDM allergens, Der p 21, Der p 5, and Der p 7 also showed up as serodominant molecules, especially in subjects bothered by asthma and atopic dermatitis. The accurate characterization of the external exposome at the molecular level and their putative role as clinically relevant allergens is essential to elucidate the phenotypic diversity of atopic disease in terms of personalized diagnosis and therapy.
Goal‐oriented adaptivity using unconventional error representations for the multidimensional Helmholtz equation

In goal‐oriented adaptivity, the error in the quantity of interest is represented using the error functions of the direct and adjoint problems. This error representation is subsequently bounded above by element‐wise error indicators that are used to drive optimal refinements. In this work, we propose to replace, in the error representation, the adjoint problem by an alternative operator. The main advantage of the proposed approach is that, when judiciously selecting such alternative operator, the corresponding upper bound of the error representation becomes sharper, leading to a more efficient goal‐oriented adaptivity.
The Influence of Managerial Ownership and Firm Size on Corporate Environmental Disclosure

Companies in the primary and chemical industry sector are involved in producing chemical substances. These industries process raw materials obtained through mining, agriculture, and other sources into materials, chemical substances, and chemical compounds to become final and intermediate products used in different industries. This study aims to investigate and prove the effect of managerial ownership and firm size on corporate environmental disclosure. The ratio used in this study is the percentage of managerial shares, total company assets, and corporate environmental disclosure reports. This is quantitative research with the type of ex-post facto (cause and effect) research. The population of this study is a manufacturing company in the primary and chemical industry sector listed on the Indonesia Stock Exchange. The sample was selected using a purposive sampling method to obtain ten samples of primary and chemical industry companies from 2017 to 2021. The data analysis method used in this study was Eviews 12 software. The results of the model estimation test show that the selected model, the Random Effect Model (REM), becomes a regression analysis method. This study indicates that partially managerial ownership does not significantly affect environmental disclosure. Moreover, firm size gives positive findings and significantly affects corporate environmental disclosures. The R-Square value of this study is only 3.8% because the results of the F test state that managerial ownership and simultaneous firm size do not significantly affect corporate environmental disclosures.
Alterations in the blood parameters of Clarias gariepinus (Clarridae) feed varying inclusion of levels of rubber seed meal (Havea brasiliensis)

Haematological changes in Clarias gariepinus juveniles fed diets containing Rubber (Havea brasiliensis) Seed Meal (RSM) at varying inclusion levels (0%, 5%, 10%, 15%, 20%) was evaluated in a ninety-day feeding trials. Four iso nitrogenous and iso caloric diets containing the fish feed diet showed significant (P<0.05) difference over fish feed control diet with respect to WBC, Hb, MCH mean corpuscular haemoglobin concentration (MCHC). Fish feed control diet had the lowest WBC, Hb, MCH, and MCHC. There was no significant difference (P >0.05) in the fish fed control diet and test diets with respect to RBC. Hence it can be concluded that the haematological parameters of Clarias gariepinus is not significantly (P>0.05) changed with increase dietary inclusion of rubber seed meal.
Adoption of crossbreed dairy cows (Holstein-Friesian and Jersey) by smallholder dairy farmers in South-Western Ethiopia: Perception and adoption intensity

Evidence on the factors that influence crossbred dairy cow adoption decisions and intensity by dairy farmers in the Debub Ari district is limited. This study provides empirical evidence on the determinants, perceptions, and constraints of crossbred dairy cow adoption decisions and intensity by dairy farmers through primary data sourced from 204 dairy farmers using a multi-stage sampling approach. Heckman’s two-stage model, the perception index, and Kendall’s coefficient of concordances were used for data analysis. This study found that there is a positive perception regarding crossbred dairy cows and a good attitude among farmers. However, less than fifty per cent of the dairy farmers had adopted crossbred dairy cows. Besides, the adoption decision of crossbred dairy cows is influenced by training, feed shortages, credit service, vet service, age, and experience; adoption intensity is influenced by extension services, vet services, feed shortages, and credit services. Therefore, the livestock sector of the district or regional government should work on the mentioned policy variables mainly related to the full package (feed, vet services, and credit access) of crossbreed dairy production because breed introduction alone does not enhance the adoption and intensity of using the technology.
Multi-Level Transitional Contrast Learning for Personalized Image Aesthetics Assessment

Personalized image aesthetics assessment (PIAA) is aimed at modeling the unique aesthetic preferences of individuals, based on which personalized aesthetic scores are predicted. People have different standards for image aesthetics, and accordingly, images rated at the same aesthetic level by different users explicitly reveal their aesthetic preferences. However, previous PIAA models treat each individual as an isolated optimization target, failing to take full advantage of the contrastive information among users. Further, although people's aesthetic preferences are unique, they still share some commonalities, meaning that PIAA models could be built on the basis of generic aesthetics. Motivated by the above facts, this article presents a Multi-level Transitional Contrast Learning (MTCL) framework for PIAA by transiting features from generic aesthetics to personalized aesthetics via contrastive learning. First, a generic image aesthetics assessment network is pre-trained to learn the common aesthetic features. Then, image sets rated to have the same aesthetic levels by different users are employed to learn the differentiated aesthetic features through multiple level-wise contrast learning based on the generic aesthetic features. Finally, a target user's PIAA model is built by integrating generic and differentiated aesthetic features. Extensive experiments on four benchmark PIAA databases demonstrate that the proposed MTCL model outperforms the state-of-the-arts.
Aerodynamic drag on deformable and active structures in high Reynolds number conditions

We explore the effect of topography on the aerodynamic behavior of deformable structures, at high Reynolds numbers. We first introduce a novel mechanism to control the aerodynamic drag on cylinders, in the critical Reynolds number regime. We created both axially grooved and dimpled specimens, comprised of latex membranes stretched over rigid acrylic skeletons. By decreasing the internal pressure of the specimens, the latex stretched inward thus changing the shape of the surface. Using a combination of finite element simulations and precision mechanical experiments, we characterized the relationship between the mechanical deformation in the membrane and pneumatic loading. Wind tunnel experiments were used to explore how changing several geometric parameters, of both grooved and dimpled cylinders, affected the aerodynamic performance. We also used the tunable nature of the specimens to automatically control the dependence of the drag coefficient on the Reynolds number. Additionally, we studied the effect of holes in thin flexible strips at high Reynolds numbers. In this investigation, instead of controlling the deformation of the specimens, we modified the initial geometry by cutting holes in strips and examined the deformation under uniform aerodynamic loading. We used a combined experimental and numerical approach to study the effect of perforation on the drag coefficient. The work presented in this thesis, represents an important first step towards utilizing deformation to control the aerodynamic performance of structures. Thesis Supervisor: Pedro M. Reis Title: Professor of Mechanical Engineering Ecole Polytechnique F6derale de Lausanne (EPFL), Switzerland and Visiting Associate Professor of Civil and Environmental Engineering, Massachusetts Institute of Technology