Miracle-dz/UniFAR-FTUs huggingface dataset:
Differentially Regulated by GATA-1 Concentrations in Human Infection and Is with IL-1 Receptor Antagonist The IL1RN Promoter rs4251961 Correlates

IL-1R antagonist (IL-1Ra) is required for adequate host defense in invasive pneumococcal disease (IPD). The minor allele of an IL1RN gene (C/T) promoter polymorphism (rs4251961) has been shown to be associated with decreased IL-1Ra production in healthy adults. We genotyped 299 children with IPD, and examined 19 IL1RN haplotype-tagging single-nucleotide polymorphisms. Human embryonic kidney HEK293(T) cells were transfected with the promoter reporter plasmid pGL3p containing either allelic variant C (pGL3pCC) or T (pGL3pTT) with or without cotransfection with an expression construct overexpressing the globin transcription factor GATA-1. Plasma IL-1Ra concentrations were signiﬁcantly higher in nonsurvivors compared with survivors ( p , 0.0005), and the C allele of rs4251961 was associated with a signiﬁcant increase in plasma IL-1Ra concentrations ( p = 0.01) during the acute illness of IPD. These ﬁndings were validated in a cohort of 276 treatment-naive HIV-infected adults, with borderline signiﬁcance ( p = 0.058). Functional analyses demonstrated that the activity of the promoter constructs containing the T allele increased ∼ 6-fold as compared with basal activity, and that containing the C allele by ∼ 9-fold ( p , 0.001) in the
during Adaptive and Innate Inflammation Migratory Behavior That Is Modulated Dermal Regulatory T Cells Display Distinct

Regulatory T cells (Tregs) are important in controlling skin inﬂammation, an effect dependent on their ability to home to this organ. However, little is known regarding their behavior in the skin. In this study, we used multiphoton imaging in Foxp3-GFP mice to examine the behavior of endogenous Tregs in resting and inﬂamed skin. Although Tregs were readily detectable in the uninﬂamed dermis, most were nonmotile. Induction of contact sensitivity increased the proportion of motile Tregs, and also induced Treg recruitment. This response was signiﬁcantly blunted in mice challenged with an irrelevant hapten, or by inhibition of effector cell recruitment, indicating a role for T cell–dependent inﬂammation in induction of Treg migration. Moreover, induction of Treg migration was inhibited by local injection of a CCR4 antagonist, indicating a role for CCR4 in this response. Exposure of naive mice to hapten also induced an increase in the proportion of migratory Tregs, demonstrating that innate signals can also induce Treg migration. Simultaneous examination of the migration of CD4 + effector cells and Tregs in the same region of uninﬂamed skin demonstrated that effector cells behaved differently, being uniformly highly migratory. These ﬁndings indicate that Treg behavior in skin differs from that of CD4 + effector cells, in that only a low proportion of Tregs is migratory under resting conditions. However, in response to both adaptive and innate inﬂammation, the proportion of migratory Tregs increases, raising the possibility that this response is important in multiple forms of skin inﬂammation. The Journal of Immunology , 2013, 191: 000–000. Spectra-Physics Experiments
Real-world human re-identification: attributes and beyond

Surveillance systems capable of performing a diverse range of tasks that support human intelligence and analytical efforts are becoming widespread and crucial due to increasing threats upon national infrastructure and evolving business and governmental analytical requirements. Surveillance data can be critical for crime-prevention, forensic analysis, and counter-terrorism activities in both civilian and governmental agencies alike. However, visual surveillance data must currently be parsed by trained human operators and therefore any utility is offset by the inherent training and staffing costs as a result. The automated analysis of surveillance video is therefore of great scientific interest. One of the open problems within this area is that of reliably matching humans between disjoint surveillance camera views, termed re-identification. Automated re-identification facilitates human operational efficiency in the grouping of disparate and fragmented people observations through space and time into individual personal identities, a pre-requisite for higher-level surveillance tasks. However, due to the complex nature of realworld scenes and the highly variable nature of human appearance, reliably re-identifying people is non-trivial. Most re-identification approaches developed so far rely on low-level visual feature matching approaches that aim to match human detections against a known gallery of potential matches. However, for many applications an initial detection of a human may be unavailable or a low-level feature representation may not be sufficiently invariant to photometric or geometric variability inherent between camera views. This thesis begins by proposing a “mid-level” human-semantic representation that exploits expert human knowledge of surveillance task execution to the task of re-identifying people in order to compute an attribute-based description of a human. It further shows how this attribute-based description is synergistic with low-level data-derived features to enhance re-identification accuracy and subsequently gain further performance benefits by employing a discriminatively learned distance metric. Finally, a novel “zero-shot” scenario is proposed in which a visual probe is unavailable but re-identification is still possible via a manually provided semantic attribute description. The approach is extensively evaluated using several public benchmark datasets. One challenge in constructing an attribute-based and human-semantic representation is the requirement for extensive annotation. Mitigating this annotation cost in order to present a realistic and scalable re-identification system, is motivation for the second technical area of this thesis, where transfer-learning and data-mining are investigatedin two different approaches. Discriminative methods trade annotation cost for enhanced performance. Because discriminative person re-identification models operate between two camera views, annotation cost therefore scales quadratically on the number of cameras in the entire network. For practical re-identification, this
To Boost or Not to Boost: Acceptability of a COVID-19 Booster Dose among Osteopathic Medical Students: A Cross-Sectional Study from a Medical School in New York

The COVID-19 pandemic continues to evolve, with new variants emerging and vaccine-induced immunity waning. Protecting and retaining the healthcare force remains crucial in fighting this pandemic, as healthcare workers (HCWs) are a critical driver in increasing vaccine uptake among the public. This study explored the uptake of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) booster shots among medical students at the New York Institute of Technology College of Osteopathic Medicine (NYITCOM). Predictors for actual booster uptake were also examined. An electronic survey was distributed to Osteopathic Medical Students (OMS I-IV) in January 2022. The survey was distributed to 1762 students total, with 319 responses received (18%). Of those who responded, 70.2% (224/319) reported that they had already received a booster, while 29.5% (94/319) reported they had not yet received it. We identified that pharmaceutical mistrust, building long-lasting immunity via vaccines, and vaccines’ adverse effects were the most significant predictors for how willing participants were to accept a booster dose. Vaccine hesitancy around the COVID-19 booster was prevalent during the surge of the highly transmissible variant Omicron. This finding necessitates some evidence-based approaches to enhance booster uptake among a population subgroup whose impact is critical.
DegranulationReceptors for IgE-Induced Mast Cell Rictor Negatively Regulates High-Affinity

Rictor is a regulatory component of the mammalian target of rapamycin (mTOR) complex 2 (mTORC2). We have previously demonstrated that rictor expression is substantially downregulated in terminally differentiated mast cells as compared with their immature or transformed counterparts. However, it is not known whether rictor and mTORC2 regulate mast cell activation. In this article, we show that mast cell degranulation induced by aggregation of high-afﬁnity receptors for IgE (Fc « RI) is negatively regulated by rictor independently of mTOR. We found that inhibition of mTORC2 by the dual mTORC1/mTORC2 inhibitor Torin1 or by downregulation of mTOR by short hairpin RNA had no impact on Fc « RI-induced degranulation, whereas downregulation of rictor itself resulted in an increased sensitivity ( ∼ 50-fold) of cells to Fc « RI aggregation with enhancement of degranulation. This was linked to a similar enhancement in calcium mobilization and cytoskeletal rearrangement attributable to increased phosphorylation of LAT and PLC g 1 . In contrast, degranulation and calcium responses elicited by the G protein– coupled receptor ligand, C3a, or by thapsigargin, which induces a receptor-independent calcium signal, was unaffected by rictor knockdown. Overexpression of rictor, in contrast with knockdown, suppressed Fc « RI-mediated degranulation. Taken together, these data provide evidence that rictor is a multifunctional signaling regulator that can regulate Fc « RI-mediated degranulation independently of mTORC2. The Journal of Immunology , 2014, 193: 5924–5932.
Higher Education in and after COVID-19: The Impact of Using Social Network Applications for E-Learning on Students’ Academic Performance

The long-lasting pandemic has disrupted face–to–face education and has forced higher education institutions to adopt digital learning management systems, albeit many public universities in developing counties could not properly undertake this shift and adopted either free interactive platforms (e.g., zoom) or social network applications (SNAs) (e.g., Facebook and WhatsApp) due to their limited resources and infrastructure. Despite that the COVID-19 pandemic has emphasized the value of e-learning, some concerns were raised about the quality of learning outcomes and academic performance of students, using these SNAs for learning, compared to traditional face–to–face education. Therefore, examining the impact of SNAs as an e-learning platform on the academic performance students is inevitable, notwithstanding that this has not been sufficiently examined by researchers amid COVID-19. For this purpose, an online questionnaire was distributed to students via research teams’ personal networks, i.e., university lecturers at various public universities in Egypt. They were asked to distribute the survey link with their undergraduates via email or WhatsApp. A total of 600 valid questionnaires was obtained from students in nine public colleges that deliver tourism and hotel management courses in Egypt and adopted SNAs for e-learning at least one semester amid COVID-19. Unlike the results of previous arguments and research, the results of the structural equation modelling using AMOS showed a positive, significant impact of SNAs as e-learning platforms on students’ academic performance. The results have several implications for higher education policymakers, educators, and scholars, especially in relation to the future of use social media applications in higher education, particularly in developing countries’ contexts.
Deep Reinforcement Learning for Stock Prediction

Investors are frequently concerned with the potential return from changes in a company’s stock price. However, stock price fluctuations are frequently highly nonlinear and nonstationary, rendering them to be uncontrollable and the primary reason why the majority of investors earn low long-term returns. Historically, people have always simulated and predicted using classic econometric models and simple machine learning models. In recent years, an increasing amount of research has been conducted using more complex machine learning and deep learning methods to forecast stock prices, and their research reports also indicate that their prediction accuracy is gradually improving. While the prediction results and accuracy of these models improve over time, their adaptability in a volatile market environment is questioned. Highly optimized machine learning algorithms include the following: FNN and the RNN are incapable of predicting the stock price of random walks and their results are frequently not consistent with stock price movements. The purpose of this article is to increase the accuracy and speed of stock price volatility prediction by incorporating the PG method’s deep reinforcement learning model. Finally, our tests demonstrate that the new algorithm’s prediction accuracy and reward convergence speed are significantly higher than those of the traditional DRL algorithm. As a result, the new algorithm is more adaptable to fluctuating market conditions.
Cisplatin-Induced Reproductive Toxicity and Oxidative Stress: Ameliorative Effect of Kinetin

Cisplatin is a commonly used chemotherapeutic agent; however, its potential side effects, including gonadotoxicity and infertility, are a critical problem. Oxidative stress has been implicated in the pathogenesis of cisplatin-induced testicular dysfunction. We investigated whether kinetin use at different concentrations could alleviate gonadal injury associated with cisplatin treatment, with an exploration of the involvement of its antioxidant capacity. Kinetin was administered in different doses of 0.25, 0.5, and 1 mg/kg, alone or along with cisplatin for 10 days. Cisplatin toxicity was induced via a single IP dose of 7 mg/kg on day four. In a dose-dependent manner, concomitant administration of kinetin with cisplatin significantly restored testicular oxidative stress parameters, corrected the distorted sperm quality parameters and histopathological changes, enhanced levels of serum testosterone and testicular StAR protein expression, as well as reduced the up-regulation of testicular TNF-α, IL-1β, Il-6, and caspase-3, caused by cisplatin. It is worth noting that the testicular protective effect of the highest kinetin dose was comparable/more potent and significantly higher than the effects of vitamin C and the lowest kinetin dose, respectively. Overall, these data indicate that kinetin may offer a promising approach for alleviating cisplatin-induced reproductive toxicity and organ damage, via ameliorating oxidative stress and reducing inflammation and apoptosis.
Sulfate by Toll-Like Receptor 4 Well-Being Via Detection of Soluble Heparan Receptor-Mediated Monitoring of Tissue

†‡ Perturbations to the well-being of tissues in plants and invertebrates generate fragments of endogenous molecules that are recognized by innate immune receptors. Vertebrates have homologous receptors on specialized cells such as dendritic cells, but whether these receptors respond to fragments of endogenous molecules is not known. We tested the idea that Toll-like receptors on dendritic cells might recognize polysaccharide fragments of heparan sulfate proteoglycan. Dendritic cells were found to mature in response to heparan sulfate as measured by costimulatory protein expression, morphology, and T lymphocyte stimulation, but this maturation was absent when Toll-like receptor 4 was mutated or inhibited. These ﬁndings suggest that Toll-like receptors in vertebrates may monitor tissue well-being by recognizing fragments of endogenous macromolecules. The Journal of Immunology, 2002, 168: 5233–5239. , Effect of deletion on DC maturation induced by
Energy and physiological tolerance explain multi‐trophic soil diversity in temperate mountains

Although soil biodiversity is extremely rich and spatially variable, both in terms of species and trophic groups, we still know little about its main drivers. Here, we contrast four long‐standing hypotheses to explain the spatial variation of soil multi‐trophic diversity: energy, physiological tolerance, habitat heterogeneity and resource heterogeneity.
Thermal Analysis of Automobile Drive Axles by the Thermal Network Method

Excessive temperature is detrimental to the operation stability of the automobile drive axle. It is necessary to judge whether the highest temperature exceeds the limited dangerous temperature and study the effects of key factors on reducing the temperature. In this study, the temperature field distribution (TFD) of the automobile drive axle is revealed using the thermal network method (TNM). Compared with the experimentation and finite element analysis (FEA), the TNM is more convenient for obtaining the temperature. Subsequently, the highest temperature of the automobile drive axle is clear and applied to judge whether the highest temperature exceeds the limited dangerous temperature. On the basis of the TNM, the structure and parameter effects of the automobile drive axle on reducing the temperature are studied, which improves the operation stability and working life. Several conclusions can be drawn. The highest temperatures of two-axle and planetary automobile drive axles are both located in the motor. Compared with the two-axle drive axle, the highest temperature of the planetary drive axle is obviously lower. Therefore, in terms of the planetary drive axle, the possibility of exceeding the limited dangerous temperature is lower. In addition, on the premise of ensuring the normal operation, the motor output power, the friction coefficient among teeth, the helical angle of the gear, and the thermal transfer coefficient of the lubricating oil can be optimized to be lower for reducing the temperature of the automobile drive axle.
Near‐surface soil thermal regime and land–air temperature coupling: A case study over Spain

Understanding the near‐surface soil thermal regime and its connection to the atmospheric state is important for the assessment of several climate‐related processes. However, the lack of in situ soil temperatures measurements limits the analysis of such processes. In this study, we have developed a quality‐controlled soil temperature database for Spain that consists of 39 sites spanning from 1987 to 2018. We have used this database to assess the near‐surface soil thermal regime. Likewise, we evaluate at seasonal to multidecadal timescales the land–air temperature coupling over Spain by analysing the structure of the surface air temperature (SAT) and the ground surface temperature (GST) covariance and also their long‐term evolution. In addition, we have employed the ERA5‐Land reanalysis to test the consistence between observations and reanalysis. The results show that the near‐surface soil thermal structure is dominated by conduction despite some influence of hydrology‐related processes. Regarding the land–air temperature coupling, we have found a strong connection between SAT and GST. However, in the summer months there is an offset in SAT–GST at some sites due to limited evaporation and enhanced sensible heat fluxes. Furthermore, multidecadal SAT–GST decoupling may exist over some sites as a response to decreasing precipitation. The ERA5‐Land represents the observations' climatology well, but it underestimates the summer soil temperature observations and the long‐term trends at some sites.
Functional Integration of Multiple Sexual Ornaments: Signal Coherence and Sexual Selection

The sexual ornamentation of animals typically consists of multiple distinct traits. The classical research approach focuses on differences among these traits, but this approach may often be misleading because of correlations among distinct sexual traits of similar origins. There are many published studies on the correlation structures of sexual traits, but the way receivers take into account the components of an integrated, multicomponent trait system remains mostly unknown. Here, we propose a general analytical framework to assess the possible sexual selection consequences of within-individual coherence in the expression of multiple correlated sexual traits. We then apply this framework to a long-term mutual plumage coloration data set from a wild bird population. The results suggest that the coherence of component plumage color traits is not sexually selected. However, component trait coherence affects sexual selection on integrated plumage color. When assessing across-spectrum plumage reflectance, receivers choosing mates apparently disregard a component trait if it is inconsistent with the overall expression of other components. This indicates that separately examining and manipulating distinct sexual traits may often be misleading. Theoretical and empirical studies should further explore the effects of coherence on the ornament-preference coevolution.
A new †Pachycormiformes (Actinopterygii) from the Upper Jurassic of Gondwana sheds light on the evolutionary history of the group

As part of the transition from Holostei to Teleostei, †Pachycormiformes represent a key group of fishes. However, the anatomy and phylogenetic relationships of the group in the context of the neopterygians are far from being understood. In this contribution we describe a new pachycormiform, †Kaykay lafken gen. et sp. nov., from the Upper Jurassic of Argentina. We made an exhaustive review of morphological characters of holostean and teleostean fishes and explore through a cladistic analysis the phylogenetic relationships of the new species. †Kaykay gen. nov. is retrieved among †Pachycormiformes as being the sister taxon of the macrocarnivorous clade composed of †Orthocormus and †Hypsocormus. Among †Pachycormiformes the pattern of relationships mostly agrees with previous hypotheses, although our study highlights the still poor knowledge of the anatomy of this group. According to our results †Saurostomus is the sister taxon of other toothed pachycormids. †Orthocormus species are recovered as a monophyletic group. The unsolved position of †Pachycormus and †Sauropsis might be a consequence of poor preservation, revealing a lack of understanding of their anatomy. Our phylogenetic analysis also confirms the rapid radiation of holosteans and teleosteomorphs in the Early Triassic and the radiation of pholidophoriforms in the Middle Triassic. †Aspidorhynchoidei radiate in the Early Jurassic. The large ghost ranges (e.g. between †Aspidorhynchoidei and Teleosteomorpha) evidence biases in the fossil record. http://zoobank.org/urn:lsid:zoobank.org:pubE78932B3-8F3C-4181-A91F-FC34358C5508