Miracle-dz/UniFAR-FTUs huggingface dataset:
Muscle pre-stimulation tunes viscous-like perturbation rejection in legged hopping

Muscle fibres possess unique visco-elastic properties, capable of generating a stabilising zero-delay response to unexpected perturbations. This instantaneous response— termed “preflex”—is crucial in the presence of neurotransmission delays, which are particularly hazardous during fast locomotion due to the short stance duration. While the elastic contribution to preflexes has been studied extensively, research on the role of fibre viscosity due to the force-velocity relation remains unexplored. Moreover, muscle models predict conditions with saturated force-velocity relations resulting in reduced viscous-like fibre engagement. The goal of our study is to isolate and quantify the preflex force produced by the force-velocity relation. We use our approach to analyse two perturbed vertical hopping conditions, differing in their viscosity engagement at touch-down. Both cases showed stable hopping patterns despite the reduced viscous-like response to ground perturbations in the saturated case. Moreover, the force-velocity relation was not the predominant factor driving energy adjustment to disturbance intensity. From a robotics perspective, our results suggest that already a simple, constant damper mounted in parallel to an actuator could provide stabilising preflexes at and shortly after impact.
HRBF-Fusion: Accurate 3D Reconstruction from RGB-D Data Using On-the-fly Implicits

Reconstruction of high-fidelity 3D objects or scenes is a fundamental research problem. Recent advances in RGB-D fusion have demonstrated the potential of producing 3D models from consumer-level RGB-D cameras. However, due to the discrete nature and limited resolution of their surface representations (e.g., point or voxel based), existing approaches suffer from the accumulation of errors in camera tracking and distortion in the reconstruction, which leads to an unsatisfactory 3D reconstruction. In this article, we present a method using on-the-fly implicits of Hermite Radial Basis Functions (HRBFs) as a continuous surface representation for camera tracking in an existing RGB-D fusion framework. Furthermore, curvature estimation and confidence evaluation are coherently derived from the inherent surface properties of the on-the-fly HRBF implicits, which are devoted to a data fusion with better quality. We argue that our continuous but on-the-fly surface representation can effectively mitigate the impact of noise with its robustness and constrain the reconstruction with inherent surface smoothness when being compared with discrete representations. Experimental results on various real-world and synthetic datasets demonstrate that our HRBF-fusion outperforms the state-of-the-art approaches in terms of tracking robustness and reconstruction accuracy.
Modular many-valued semantics for combined logics

We obtain, for the first time, a modular many-valued semantics for combined logics, which is built directly from many-valued semantics for the logics being combined, by means of suitable universal operations over partial non-deterministic logical matrices. Our constructions preserve finite-valuedness in the context of multiple-conclusion logics whereas, unsurprisingly, it may be lost in the context of single-conclusion logics. Besides illustrating our constructions over a wide range of examples, we also develop concrete applications of our semantic characterizations, namely regarding the semantics of strengthening a given many-valued logic with additional axioms, the study of conditions under which a given logic may be seen as a combination of simpler syntactically defined fragments whose calculi can be obtained independently and put together to form a calculus for the whole logic, and also general conditions for decidability to be preserved by the combination mechanism.
StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?

To answer this question, we fine-tune transformer-based language models, including BERT, on different sources of company-related text data for a classification task to predict the one-year stock price performance. We use three different types of text data: News articles, blogs, and annual reports. This allows us to analyze to what extent the performance of language models is dependent on the type of the underlying document. StonkBERT, our transformer-based stock performance classifier, shows substantial improvement in predictive accuracy compared to traditional language models. The highest performance was achieved with news articles as text source. Performance simulations indicate that these improvements in classification accuracy also translate into above-average stock market returns.
Evaluating Conditional Covariance Estimates via a New Targeting Approach and a Networks-Based Analysis

Modeling and forecasting of dynamically varying covariances have received much attention in the literature. The two most widely used conditional covariances and correlations models are BEKK and DCC. In this paper, we advance a new method to introduce targeting in both models to estimate matrices associated with financial time series. Our approach is based on specific groups of highly correlated assets in a financial market, and these relationships remain unaltered over time. Based on the estimated parameters, we evaluate our targeting method on simulated series by referring to two well-known loss functions introduced in the literature and Network analysis. We find all the maximal cliques in correlation graphs to evaluate the effectiveness of our method. Results from an empirical case study are encouraging, mainly when the number of assets is not large.
Efficient and Robust Estimation of the Generalized LATE Model

This paper studies the estimation of causal parameters in the generalized local average treatment effect (GLATE) model, a generalization of the classical LATE model encompassing multi-valued treatment and instrument. We derive the efficient influence function (EIF) and the semiparametric efficiency bound (SPEB) for two types of parameters: local average structural function (LASF) and local average structural function for the treated (LASF-T). The moment condition generated by the EIF satisfies two robustness properties: double robustness and Neyman orthogonality. Based on the robust moment condition, we propose the double/debiased machine learning (DML) estimators for LASF and LASF-T. The DML estimator is semiparametric efficient and suitable for high dimensional settings. We also propose null-restricted inference methods that are robust against weak identification issues. As an empirical application, we study the effects across different sources of health insurance by applying the developed methods to the Oregon Health Insurance Experiment.
Ground-state and thermodynamic properties of the spin-$\frac{1}{2}$ Heisenberg model on the anisotropic triangular lattice

The spin-\frac1212 triangular lattice antiferromagnetic Heisenberg model has been for a long time the prototypical model of magnetic frustration. However, only very recently this model has been proposed to be realized in the Ba_88CoNb_66O_{24}24 compound. The ground-state and thermodynamic properties are evaluated from a high-temperature series expansion interpolation method, called ``entropy method’’, and compared to experiments. We find a ground-state energy e_0 = -0.5445(2)e0=−0.5445(2) in perfect agreement with exact diagonalization results. We also calculate the specific heat and entropy at all temperatures, finding a good agreement with the latest experiments, and evaluate which further interactions could improve the comparison. We explore the spatially anisotropic triangular lattice and provide evidence that supports the existence of a gapped spin liquid between the square and triangular lattices.
Application of FEM to Design of Rubber Elements in Rolling Stock

The importance,general mechanical property,strain energy functions of rubber as super-elastic material are introduced,as well as several kinds of constitutive models used in FEM and their different applications.The FEA and test results of typical rubber components in the railway vehicle are listed,including the stress,strain,fatigue performance and stiffness etc.With the experiences in the FEA calculations of rubber elements,and with certain correction on the analysis results in combination with the test results,the purpose to lower down development cost and improve efficiency could be achieved.
Two emetolite-pterosaur associations from the Late Jurassic of China: showing the first evidence for antiperistalsis in pterosaurs

Knowledge about the pterosaur diet and digestive system is limited, and there is little direct evidence in the fossil record. Here, we report two specimens of the wukongopterid Kunpengopterus sinensis, a juvenile and an adult, from the Late Jurassic Yanliao Biota of China with associated bromalites. Both of these concentrations are identified as emetolites, fossilized gastric pellets. These pellets contain scales of an unnamed palaeonisciform fish, confirming the pterosaur was a piscivore. It probably vomited the pellets, indicating the presence of two-part stomachs and efficient antiperistalsis in both juveniles and adults. Comparing the ganoid scales found in the pellets with those of complete fishes, it was possible to determine that the prey of the smaller pellet is an average-sized individual, while the prey of the larger pellet represents a large specimen. Kunpengopterus sinensis might have preyed on the same fish during ontogeny, with adults being able to feed on larger individuals. This article is part of the theme issue ‘The impact of Chinese palaeontology on evolutionary research’.
Prevalence of Bullying in Grassroots Soccer in Spain: Victims, Bullies, and Bystanders

Abstract Bullying is a social problem that has been studied most in schools but affects other social contexts. However, there is a general lack of studies on bullying in sports. The aim of this study was to determine the prevalence of bullying among youth soccer players. Participants were 1,980 soccer players (88.2% boys) aged 8 to 13 years (Mage = 10.5, SD = 1.68) from 25 clubs in Catalonia, Spain. An ad hoc questionnaire was administered to analyze the prevalence and characteristics of bullying from the perspective of victims, bullies, and bystanders. The overall bullying victimization rate was 8.9%, with higher rates observed in the younger categories (p < .001); 5.2% of victims experienced bullying in both their soccer club and at school. The bullying and bystander rates were 14.8% and 34.7%, respectively, with significant differences between boys and girls (15.5% of boys and 9% of girls were bullies [p < .05], while 36.4% of boys and 21.9% of girls were bystanders [p < .001]). Verbal bullying was the main type of bullying reported. The locker room and pitch were the most common locations, and victims were more likely to deal with bullying on their own than to ask for help. Bullying is present in grassroots soccer, and anti-bullying programs are needed to instill ethical and moral values in athletes and equip coaches with the necessary skills to prevent, detect, and address bullying situations.
Surprise questions in spoken French

Abstract This paper offers a pragmatic account of two wh-questions in French used non-canonically - c’est quoi, ce N and qu’est-ce que constructions. It is claimed that in this non-canonical use, both constructions express surprise. As these constructions may be syntactically ambiguous between an information-seeking reading and a surprise reading, it is expected that the two readings differ in terms of prosody. This hypothesis is supported by the results of a production experiment. Experimental evidence shows significant prosodic differences between syntactically similar information-seeking questions and surprise questions. Surprise questions exhibit an increase in lengthening, slower speech rate and less frequent rising final contours.
A Multiple Case Study Examining the Solution-Focused Brief Therapy Experiences of Couples Raising Children with ASD

ABSTRACT The aim of this qualitative case study is to understand the experiences of receiving solution-focused brief therapy for couples raising a child with Autism Spectrum Disorder. Five couples received six sessions of solution-focused brief couples therapy (SFBT) and were interviewed after the first, third, and last therapy sessions. Couples engaged in a semi-structured interview and were asked about their experiences in therapy. After using descriptive and in vivo coding to analyze the fifteen transcripts, the codes were placed into major themes. The six themes include: (a) therapy as a “blessing”; (b) positive experiences with the therapist; (c) helpful conversations; (d) reactions to the miracle question; (e) clarifying the couple and co-parent identity; and (f) the growth of the parent-child relationship. The current study is the first to identify parents’ experiences of treatment, while raising a child with ASD.
Mucosal Vaccination With Recombinant Tm-WAP49 Protein Induces Protective Humoral and Cellular Immunity Against Experimental Trichuriasis in AKR Mice

Trichuriasis is one of the most common neglected tropical diseases of the world’s poorest people. A recombinant vaccine composed of Tm-WAP49, an immunodominant antigen secreted by adult Trichuris stichocytes into the mucosa of the cecum to which the parasite attaches, is under development. The prototype is being evaluated in a mouse model of Trichuris muris infection, with the ultimate goal of producing a mucosal vaccine through intranasal delivery. Intranasal immunization of mice with Tm-WAP49 formulated with the adjuvant OCH, a truncated analog of alpha-GalCer with adjuvanticity to stimulate natural killer T cells (NKT) and mucosal immunity, induced significantly high levels of IgG and its subclasses (IgG1 and IgG2a) in immunized mice. This also resulted in a significant reduction of worm burden after challenge with T. muris-infective eggs. The addition of QS-21 adjuvant to this vaccine formulation further reduced worm counts. The improved protection from the dual-adjuvanted vaccine correlated with higher serum antibody responses (IgG, IgG1, IgG2a, IgA) as well as with the induction of antigen-specific IgA in the nasal mucosa. It was also associated with the robust cellular responses including functional subsets of CD4 T cells producing IL-4, and cytotoxic CD8 T cells expressing granzyme B. The worm reduction achieved by mucosal immunization was higher than that induced by subcutaneous immunization. Intranasal immunization also induced a significantly higher nasal mucosa-secreted antigen-specific IgA response, as well as higher functional cellular responses including CD4+IL4+ (Th1) and CD8+GnzB+ (Th2) T cells, and antigen-specific INFγ-producing T cells in both spleen and MLNs and antibody-producing B cells (CD19+B220+/B220+GL7+). Mucosal immunization further induced long-term T lymphocyte memory with increased central (CD62L+CD44+) and effector (CD62L-CD44+) memory subsets of both CD4 and CD8 T cells at 60 days after the last immunization. In summary, intranasal immunization with recombinant Tm-WAP49 protein induced strong protection versus murine trichuriasis. It represents a promising vaccination approach against intestinal nematodes.
Aldosterone-Regulated Sodium Transport and Blood Pressure

Aldosterone is a major mineralocorticoid steroid hormone secreted by glomerulosa cells in the adrenal cortex. It regulates a variety of physiological responses including those to oxidative stress, inflammation, fluid disruption, and abnormal blood pressure through its actions on various tissues including the kidney, heart, and the central nervous system. Aldosterone synthesis is primarily regulated by angiotensin II, K+ concentration, and adrenocorticotrophic hormone. Elevated serum aldosterone levels increase blood pressure largely by increasing Na+ re-absorption in the kidney through regulating transcription and activity of the epithelial sodium channel (ENaC). This review focuses on the signaling pathways involved in aldosterone synthesis and its effects on Na+ reabsorption through ENaC.
Integrated Analysis of Multiple Microarrays Based on Raw Data Identified Novel Gene Signatures in Recurrent Implantation Failure

Background Recurrent implantation failure (RIF) is an intricate complication following IVF-ET, which refers to the situation that good-quality embryos repeatedly fail to implant following two or more IVF cycles. Intrinsic molecular mechanisms underlying RIF have not yet been fully elucidated. With enormous improvement in high-throughput technologies, researchers screened biomarkers for RIF using microarray. However, the findings of published studies are inconsistent. An integrated study on the endometrial molecular determinants of implantation will help to improve pregnancy outcomes. Objective To identify robust differentially expressed genes (DEGs) and hub genes in endometrium associated with RIF, and to investigate the diagnostic role of hub genes in RIF. Methods Raw data from five GEO microarrays regarding RIF were analyzed. Integrated genetic expression analyses were performed using the Robust Rank Aggregation method to identify robust DEGs. Enrichment analysis and protein-protein interaction (PPI) analysis were further performed with the robust DEGs. Cytohubba was used to screen hub genes based on the PPI network. GSE111974 was used to validate the expression and diagnostic role of hub genes in RIF. Results 1532 Robust DEGs were identified by integrating four GEO datasets. Enrichment analysis showed that the robust DEGs were mainly enriched in processes associated with extracellular matrix remodeling, adhesion, coagulation, and immunity. A total of 18 hub genes (HMGCS1, SQLE, ESR1, LAMC1, HOXB4, PIP5K1B, GNG11, GPX3, PAX2, TF, ALDH6A1, IDH1, SALL1, EYA1, TAGLN, TPD52L1, ST6GALNAC1, NNMT) were identified. 10 of the 18 hub genes were significantly differentially expressed in RIF patients as validated by GSE111974. The 10 hub genes (SQLE, LAMC1, HOXB4, PIP5K1B, PAX2, ALDH6A1, SALL1, EYA1, TAGLN, ST6GALNAC1) were effective in predicting RIF with an accuracy rate of 85%, specificity rate of 100%, and sensitivity rate of 88.9%. Conclusions Our integrated analysis identified novel robust DEGs and hub genes in RIF. The hub genes were effective in predicting RIF and will contribute to the understanding of comprehensive molecular mechanisms in RIF pathogenesis.
Austrian College Students’ Experiences With Digital Media Learning During the First COVID-19 Lockdown

In 2020, the COVID-19 pandemic forced many nations to shut-down schools and universities, catapulting teachers and students into a new, challenging situation of 100% distance learning. To explore how the shift to full distance learning represented a break with previous teaching, we asked Austrian students (n = 874, 65% female, 34% male) which digital media they used before and during the first Corona lockdown, as well as which tools they wanted to use in the future. Students additionally reported on their attitudes and experiences with online learning. Results showed that students used certain tools, such as video, audio, e-assessments, and web conferencing systems, much more often during lockdown than they had before. Their use of classic digital media, such as e-mail, social communication tools, such as chat or online forums, and other interactive tools, such as wikis or educational games, hardly changed at all. Their attitudes toward multimedia learning were positively related to their media use. In their open responses (n = 137), students identified advantages of online learning (flexibility and self-directed learning), as well as disadvantages (limited social interaction) and challenges (motivation and self-discipline). As a group, they also expressed a clear preference for a balanced combination of online- and offline teaching in the future. However, individual students did prefer fully online or offline learning modes, depending on their personal circumstances and educational goals. We view this as a call to researchers and educators alike to explore ways in which the advantages of online and face-to-face learning can best be combined to meet the changed needs and expectations of organizations, students, and teachers in a future “after Corona. ”
Comparative Efficacy of Acupuncture-Related Techniques for Urinary Retention After a Spinal Cord Injury: A Bayesian Network Meta-Analysis

Background Urinary retention is one of the most frequent complications of spinal cord injuries (SCI) and negatively impacts patient satisfaction and quality of life. Acupuncture as an integral part of traditional Chinese medicine (TCM) has recently drawn widespread attention for its potential in the management of urinary retention. However, there are many different styles of acupuncture-related techniques, and the optimal choice of acupuncture for urinary retention after SCI is still unclear. Hence, this study uses a Bayesian network meta-analysis (NMA) to compare the efficacy of different types of acupuncture therapies using both direct and indirect evidence. Methods Randomized controlled trials of acupuncture-related techniques for treating urinary retention after SCI were retrieved from the following electronic databases: Pubmed, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), the Chinese Biomedical Literature Service System (SinoMed), the Wan-Fang database, and the Chinese Scientific Journals Database (VIP). The retrieval time was from inception to November 2020. Clinical effective rate (CER) was the primary outcome indicator and residual urine volume (RUV) was the secondary outcome indicator. A Bayesian NMA was performed using the Markov chain Monte Carlo method in R software (version 3.6.1) interfacing with JAGS software (version 4.3.0). The node-splitting method was used to identify inconsistencies. In addition, a comparative adjusted funnel plot was used to assess publication bias. Results A total of 26 randomized controlled trials involving 1,652 patients were included. Bayesian NMA showed that electroacupuncture combined with moxibustion ranks first in both CER and RUV. In addition, in terms of cumulative probability, electro-acupuncture combined with moxibustion ranked first in CER. The results of the node splitting method revealed that direct and indirect evidence were consistent (P > 0.05). In addition, publication bias was detected. Conclusion A Bayesian NMA that combined direct and indirect comparisons showed that electro-acupuncture combined with moxibustion had a better effect on urinary retention due to SCI. However, it still needs a large sample size and high-quality randomized controlled trials to verify this finding. Systematic Review Registration: https://inplasy.com/, identifier: INPLASY2021110005.