Miracle-dz/UniFAR-FTUs huggingface dataset:
Stressors and coping behaviors of female peer leaders participating in college club sports

Stressors and Coping Behaviors of Female Peer Leaders Participating in College Club Sports Leigh A. Bryant Peer leadership positions on collegiate club sport teams can be valuable opportunities for students to develop leadership skills, maintain healthy habits, create friendships, and foster organizational and personal connections across the university setting. Nevertheless, involvement in club sports can create stress over and above the many stressors that college students may encounter during their undergraduate experience. This study focused on exploring female leaders’ perceived stressors inside and outside of the sport setting, and the ways in which they coped with them. Participants (N = 7) were interviewed based on nominations from their respective teammates. Interviews were conducted using a semi-structured interview guide. Results revealed that female club sport athletes in this sample indicated stress across many domains, including social, academic, and athletic. The use of emotion-focused strategies to cope with stress was particularly evident, with participants describing strategies such as sleeping, avoiding, or praying much more frequently than strategies like seeking professional help or advice. Each stressor and strategy identified by the participants is discussed, with specific emphasis placed on the adjustment to college, issues during college, and gender differences in coping. Practical implications and ideas for future research are also explored.
Expression of SATB1 Promotes the Growth and Metastasis of Colorectal Cancer

Special AT-rich sequence-binding protein-1 (SATB1) has been identified as a genome organizer that reprograms chromatin organization and transcription profiles. SATB1 promotes tumor growth and metastasis in breast cancer and is associated with poor prognosis in several cancer types. The association between SATB1 and colorectal cancer (CRC) has not been studied intensively. Therefore, this study aimed to investigate the effect of SATB1 on CRC growth and metastasis in vitro and in vivo and its correlation with overall survival and clinicopathological factors in CRC patients. Stable SATB1 knockdown and SATB1-overexpressing cell lines were established. SATB1 knockdown decreased cell growth, colony formation, migration, and invasion and increased apoptosis in CRC cells in vitro (p<0.05), whereas SATB1 overexpression had the opposite effect. SATB1 overexpression increased tumor growth and metastasis to lung and liver in vivo by using xenograft animal models (p<0.05). Thus, SATB1 promoted an aggressive CRC phenotype in vitro and in vivo. Immunohistochemical analysis of 560 CRC specimens showed that SATB1 expression was significantly higher in CRC tissues than in matched non-tumor mucosa (p<0.001). In addition, SATB1 expression was significantly higher in patients with poorly differentiated tumors, higher invasion depth, distant metastasis, and advanced TNM stage. SATB1-positive patients had a poorer prognosis than SATB1-negative patients, and SATB1 was identified as an independent prognostic factor for CRC (p = 0.009). Strikingly, we also evaluated SATB2 expression in CRC and found that SATB2 was more abundantly expressed in non-cancerous mucosa compared to colorectal cancer tissues (p<0.001). However, SATB2 expression had no influence on prognosis of CRC patients (p = 0.836). SATB1 expression was significantly associated with shorter survival time either in SATB2-positive patients or in SATB2-negative patients (p<0.001). In conclusion, our findings indicated an important role for SATB1 in CRC tumorigenesis and metastasis. Therefore, SATB1 may represent an important prognostic biomarker and therapeutic target for CRC.
Review: Immunology of sinusitis, trauma, asthma, and sepsis

Background This review article is important for allergists/immunologists and otolaryngologists. It discussed chronic rhinosinusitis, epidemiology, pathogenesis, innate adaptive immunology, nuclear factor–kappa B related to inflammation, sepsis, complement, reactive oxygen species, asthma, sinusitis, elderly pathogenesis, oxidative stress, depression, seasonal variation, vitamin D, genetic susceptibility and sepsis, hereditary angioedema related to trauma and stress. Objective The objective of this review is to link chronic rhinosinusitis, epidemiology, innate and adaptive immunology, NF-kappa B related to inflammation, sepsis, complement, reactive oxygen species, asthma and sinusitis. Methods A literature search was conducted from several articles, prospective studies, recent reviews and earlier reports. A synergistic relationship develops between activation of the innate immune system and the loss of organ barrier functions. Many complex factors, such as genetics, physical agents, mediators in the development of organ failure both in asthma, sinusitis, stress, depression and trauma, leading to posttraumatic organ failure. Asthma and sepsis, a common condition encountered in hospital environments remains an important cause of death at intensive care units where allergists/immunologists and otolaryngologists are frequently consulted. The patient's immune surveillance could fail to eliminate the pathogen, allowing it to spread and there is a proinflammatory mediator release with inappropriate activation. Conclusion This review discussed chronic rhinosinusitis, sinusitis related to trauma, the innate and adaptive immunology, NF-kappa B related to inflammation, sepsis, complement, inflammation, reactive oxygen species, asthma pathogenesis, and asthma in the elderly, oxidative stress, depression, seasonal variation and vitamin D, cytokines, genetic susceptibility related to sepsis, hereditary angioedema related to trauma and stress.
Iterative Mean Removal Superimposed Training for Frequency Selective Channel Estimation

The topic of channel estimation for single-input single-output frequency-selective time-invariant channels has been recently addressed using superimposed training (ST) techniques. Improvement of these approaches using iterative algorithms has shown to achieve the best performance, although with the drawback of increasing computation complexity. In this work we propose a new iterative ST algorithm that resemblances data dependent ST (DDST), but extracts the cycling mean of the data, at the receiver's end. This mean removal ST (MRST) approach accomplishes similar performance in terms of channel estimation error and noise immunity, but it has less complexity when compared with the best iterative techniques found in literature. Simulation results of several iterative approaches and MRST in connection with both MLSE and MMSE equalizers are presented to corroborate the theoretical analysis.
Economic Integration and the Markups of European Electricity Firms

This paper uses EU …rm-level panel data to estimate the impact of energy reforms on the markups of European electricity …rms. Empirical results reveal that reforms have gradually reduced the markups, which is consistent with the internal market principle that competition would develop as a result of the economic integration. But the existing markup premium of
Evaluation and development of potentially better practices for the prevention of brain hemorrhage and ischemic brain injury in very low birth weight infants.

OBJECTIVE Neonatal care providers from 5 institutions formed a multidisciplinary focus group with the purpose of identifying potentially better practices, the implementation of which would lead to a reduction in the incidence of intracranial hemorrhage and periventricular leukomalacia in very low birth weight infants. METHODS Practices were analyzed, 4 benchmark neonatal intensive care units were identified and evaluated, and the literature was assessed using an evidence-based approach. The work was also reviewed by a nationally respected expert. RESULTS Ten potentially better clinical practices were identified. In addition, variability in cranial ultrasound practice, related to both procedural process and interpretation, was identified as a confounding problem in evaluating quality. Using the same process, potentially better cranial ultrasound practices were also identified. CONCLUSIONS Implementation of these practices will improve clinical outcomes as well as the reliability of sonogram interpretation, the basis for evaluating the quality of the team's work.
Photometric properties and origin of bulges in SB0 galaxies

We have derived the photometric parameters for the structural components of a sample of fourteen SB0 galaxies by applying a parametric photometric decomposition to their observed I-band surface brightness distribution. We find that SB0 bulges are similar to bulges of the early-type unbarred spirals, i.e. they have nearly exponential surface brightness profiles (� n� = 1.48 ± 0.16) and their effective radii are strongly coupled to the scale lengths of their surrounding discs (� re/h� = 0.20 ± 0.01). The photometric analysis alone does not allow us to differentiate SB0 bulges from unbarred S0 ones. However, three sample bulges have disc properties typical of pseudobulges. The bulges of NGC 1308 and NGC 4340 rotate faster than bulges of unbarred galaxies and models of isotropic oblate spheroids with equal ellipticity. The bulge of IC 874 has a velocity dispersion lower than expected from the Faber-Jackson correlation and the fundamental plane of the elliptical galaxies and S0 bulges. The remaining sample bulges are classical bulges, and are kinematically similar to lower-luminosity ellipticals. In particular, they follow the Faber-Jackson correlation, lie on the fundamental plane and those for which stellar kinematics are available rotate as fast as the bulges of unbarred galaxies.
β-Amyloid Peptide at Sublethal Concentrations Downregulates Brain-Derived Neurotrophic Factor Functions in Cultured Cortical Neurons

The accumulation of β-amyloid (Aβ) is one of the etiological factors in Alzheimer's disease (AD). It has been assumed that the underlying mechanism involves a critical role of Aβ-induced neurodegeneration. However, low levels of Aβ, such as will accumulate during the course of the disease, may interfere with neuronal function via mechanisms other than those involving neurodegeneration. We have been testing, therefore, the hypothesis that Aβ at levels insufficient to cause degeneration (sublethal) may interfere with critical signal transduction processes. In cultured cortical neurons Aβ at sublethal concentrations interferes with the brain-derived neurotrophic factor (BDNF)-induced activation of the Ras-mitogen-activated protein kinase/extracellular signal-regulated protein kinase (ERK) and phosphatidylinositol 3-kinase (PI3-K)/Akt pathways. The effect of sublethal Aβ1-42 on BDNF signaling results in the suppression of the activation of critical transcription factor cAMP response element-binding protein and Elk-1 and cAMP response element-mediated and serum response element-mediated transcription. The site of interference with the Ras/ERK and PI3-K/Akt signaling is downstream of the TrkB receptor and involves docking proteins insulin receptor substrate-1 and Shc, which convey receptor activation to the downstream effectors. The functional consequences of Aβ interference with signaling are robust, causing increased vulnerability of neurons, abrogating BDNF protection against DNA damage- and trophic deprivation-induced apoptosis. These new findings suggest that Aβ engenders a dysfunctional encoding state in neurons and may initiate and/or contribute to cognitive deficit at an early stage of AD before or along with neuronal degeneration.
Fuzzy search result aggregation using Analytical Hierarchy Process

A metasearch engines is a search engine that can be used to query multiple search engines at the same time. Typically a metasearch engine passes a user query to some other search engines, which in turn returns results in the form of ranked result lists. The metasearch engine then aggregates results returned by the search engines into a single ranked result list. Result aggregation is a well studied topic. In this paper we propose a comprehensive model for result merging t-norm Importance Guided Fuzzy Hybrid model (tIGFHM) that considers search engine prior performances during aggregation, uses Saaty's Analytic Hierarchy Process (AHP) to do pair wise comparisons of document and search engines and Yager's t-norm Importance Guided OWA operator to do final result aggregation. Our experiments show that our model performs better than conventional result merging models.
In Vivo Efficacy of HD0471953: A Novel GPR119 Agonist for the Treatment of Type 2 Diabetes Mellitus

G-protein coupled receptor 119 (GPR119) has emerged as a promising new target for the treatment of type 2 diabetes mellitus. The expression of GPR119 on the pancreatic B cells and intestinal L cells provides a unique opportunity for a single drug to promote insulin and GLP-1 secretion. In this study, we identified a novel small molecule GPR119 agonist, HD0471953, from our large library of synthetic compounds based on its ability to anti-hyperglycemic effects on T2DM murine models. We have tested the acute efficacy of HD0471953 by the oral glucose tolerance test (OGTT) with normal C57BL/6J mice. Then, chronic administrations of HD0471953 were performed to evaluate the efficacy on various diabetic rodent models. Single administration of HD0471953 showed improved glycemic control with a dose-dependent manner in OGTT with normal mice, and the insulin and GLP-1 were also increased. To identify chronic efficacy, we have observed a decline of blood glucose and fasting insulin in a dose-dependent manner of 10, 20, and 50 mpk in db/db mice. The results suggest that HD0471953 may be a potentially promising anti-hyperglycemic agent for the treatment of patients with type 2 diabetes mellitus.
Journal of Internet Banking and Commerce Drivers and Inhibitors of Internet Banking Adoption in India

Ankit Kesharwani is a doctoral student in marketing department at IBS Hyderabad, India. His research revolves around topics in innovation and the diffusion of technology, service quality, website quality and electronic modes of delivery in banking and higher education sectors. He has published papers in various international journals including International Journal of Bank Marketing, Services Marketing Quarterly, etc. He has also presented papers in many national and international conferences including 34 th INFORMS Dr. G. Radhakrishna has more than 15 years of experience in academics and research. His areas of specialization are services marketing and consumer behavior. He has been involved in teaching at doctoral and post graduate level. Abstract Banks are providing e-banking services, as this would ameliorate their profits. Since internet banking in India is still in its nascent stage, it is essential for e-banking institutions to enhance acceptance and usage of internet as a banking channel by their customers. This paper has reviewed the most of seminal studies in the area of diffusion of innovation and makes an attempt to do an empirical research that looked into the factors that drives and inhibits internet banking usage in India. An exploratory factor-2-analysis followed by a confirmatory factor analysis has been applied on 362 internet banking users. Findings resulted in seven factors – perceived benefit, hacking and fraud risk, performance risk, computer self-efficacy, technology complexity, social influence, and pricing concerns. The results suggest that acceptance and usage of internet banking services can turn into a vital concern for future research, as the drivers overcoming the inhibitors over time at an influencing rate. Moreover, this study also compares the findings with existent diffusion of innovation literature and identified several additional factors that can affect internet banking adoption in India.
Impulsive Social Influence Increases Impulsive Choices on a Temporal Discounting Task in Young Adults

Adolescents and young adults who affiliate with friends who engage in impulsive behavior are more likely to engage in impulsive behaviors themselves, and those who associate with prosocial (i.e. more prudent, future oriented) peers are more likely to engage in prosocial behavior. However, it is difficult to disentangle the contribution of peer influence vs. peer selection (i.e., whether individuals choose friends with similar traits) when interpreting social behaviors. In this study, we combined a novel social manipulation with a well-validated delay discounting task assessing impulsive behavior to create a social influence delay discounting task, in which participants were exposed to both impulsive (smaller, sooner or SS payment) and non-impulsive (larger, later or LL payment) choices from their peers. Young adults in this sample, n = 51, aged 18–25 had a higher rate of SS choices after exposure to impulsive peer influence than after exposure to non-impulsive peer influence. Interestingly, in highly susceptible individuals, the rate of non-impulsive choices did not increase after exposure to non-impulsive influence. There was a positive correlation between self-reported suggestibility and degree of peer influence on SS choices. These results suggest that, in young adults, SS choices appear to be influenced by the choices of same-aged peers, especially for individuals who are highly susceptible to influence.
TLR4 Deficiency Protects against Hepatic Fibrosis and Diethylnitrosamine-Induced Pre-Carcinogenic Liver Injury in Fibrotic Liver

Background The development of hepatocellular carcinoma (HCC) is a common consequence of advanced liver fibrosis but the interactions between fibrogenesis and carcinogenesis are still poorly understood. Recently it has been shown that HCC promotion depends on Toll-like receptor (TLR) 4. Pre-cancerogenous events can be modelled in mice by the administration of a single dose of diethylnitrosamine (DEN), with HCC formation depending amongst others on interleukin (IL) 6 production. Mice lacking the hepatocanalicular phosphatidylcholine transporter ABCB4 develop liver fibrosis spontaneously, resemble patients with sclerosing cholangitis due to mutations of the orthologous human gene, and represent a valid model to study tumour formation in pre-injured cholestatic liver. The aim of this study was to investigate DEN-induced liver injury in TLR4-deficient mice with biliary fibrosis. Methods ABCB4-deficient mice on the FVB/NJ genetic background were crossed to two distinct genetic backgrounds (TLR4-sufficient C3H/HeN and TLR4-deficient C3H/HeJ) for more than 10 generations. The two congenic knockout and the two corresponding wild-type mouse lines were treated with a single dose of DEN for 48 hours. Phenotypic differences were assessed by measuring hepatic collagen contents, inflammatory markers (ALT, CRP, IL6) as well as hepatic apoptosis (TUNEL) and proliferation (Ki67) rates. Results Hepatic collagen accumulation is significantly reduced in ABCB4-/-:TLR4-/-double-deficient mice. After DEN challenge, apoptosis, proliferation and inflammatory markers are decreased in TLR4-deficient in comparison to TLR4-sufficient mice. When combining ABCB4 and TLR4 deficiency with DEN treatment, hepatic IL6 expression and proliferation rates are lowest in fibrotic livers from the double-deficient line. Consistent with these effects, selective digestive tract decontamination in ABCB4-/- mice also led to reduced tumor size and number after DEN. Conclusion This study demonstrates that liver injury upon DEN challenge depends on pre-existing fibrosis and genetic background. The generation of ABCB4-/: TLR4-/- double-deficient mice illustrates that TLR4-deficiency protects against hepatic injury in a preclinical mouse model of chronic liver disease.
Matching cost computation algorithm and high speed FPGA architecture for high quality real-time Semi Global Matching stereo vision for road scenes

Stereo correspondence and the generation of the disparity map, which encodes the depth of objects, is one of the most challenging and important tasks for camera based environment perception systems. Thus, it is indispensable for autonomous driving vehicles and transportation devices to detect other cars or for the classification of obstacles. To enable this, relatively large real world images must be processed at high data rates. At the moment, Semi Global Matching (SGM) is the most promising approach for the stereo matching of real world images at sufficient quality and the capability of high data rates. Real-time SGM implementations on small image sizes have been reported, however, current stereo camera image sizes pose still high computational complexity and memory demand for SGM. This paper describes a new method for the efficient computation of stereo matching costs to reduce the complexity and the high memory demand for cost volume and cost aggregation buffering. Using the proposed complexity reduction, we present modules and concepts for full parallel FPGA implementations of the cost volume creation, SGM aggregation and disparity selection. We evaluate the presented algorithm using the KITTI stereo vision benchmark and achieve, besides competitive quality results, a data throughput for the cost calculation of 199 frames per second (fps) for an image size of 1242 × 375 with a disparity range of D = 160 and tremendously reduced memory requirements.
Sourcing Flexibility, Spot Trading, and Procurement Contract Structure

We analyze the structure and pricing of option contracts for an industrial good in the presence of spot trading. We combine the analysis of spot trading and buyers' disparate private valuations for different suppliers' products, and we jointly endogenize the determination of three major dimensions in contract design: (i) sales contracts versus options contracts, (ii) flat-price versus volume-dependent contracts, and (iii) volume discounts versus volume premia. We build a model in which a supplier of an industrial good transacts with a manufacturer who uses the supplier's product to produce an end good with an uncertain demand. We show that, consistent with industry observations, volume-dependent optimal sales contracts always demonstrate volume discounts (i.e., involve concave pricing). However, options are more complex agreements, and optimal option contracts can involve both volume discounts and volume premia. Three major contract structures commonly emerge in optimality. First, if the seller has a high discount rate relative to the buyer and the seller's production costs or the production capacity is low, the optimal contracts tend to be flat-price sales contracts. Second, when the seller has a relatively high discount rate compared to the buyer but production costs or production capacity are high, the optimal contracts are sales contracts with volume discounts. Third, if the buyer's discount rate is high relative to the seller's, then the optimal contracts tend to be volume-dependent options contracts and can involve both volume discounts and volume premia. However, when the seller's production capacity is sufficiently low, it is possible to observe flat-price option contracts. Furthermore, we provide links between production and spot market characteristics, contract design, and efficiency.