Miracle-dz/UniFAR-FTUs huggingface dataset:
Protective Effects of Peroxiredoxin 4 (PRDX4) on Cholestatic Liver Injury

Accumulating evidence indicates that oxidative stress plays a critical role in initiating the progression of inflammatory and fibrotic liver diseases, including cholestatic hepatitis. Peroxiredoxin 4 (PRDX4) is a secretory antioxidase that protects against oxidative damage by scavenging reactive oxygen species (ROS) in both the intracellular compartments and extracellular space. In this study, we examined the in vivo net effects of PRDX4 overexpression in a murine model of cholestasis. To induce cholestatic liver injury, we subjected C57BL/6J wild-type (WT) or human PRDX4 (hPRDX4) transgenic (Tg) mice to sham or bile duct ligation (BDL) surgery for seven days. Our results showed that the liver necrosis area was significantly suppressed in Tg BDL mice with a reduction in the severity of liver injuries. Furthermore, PRDX4 overexpression markedly reduced local and systemic oxidative stress generated by BDL. In addition, suppression of inflammatory cell infiltration, reduced proliferation of hepatocytes and intrahepatic bile ducts, and less fibrosis were also found in the liver of Tg BDL mice, along with a reduced mortality rate after BDL surgery. Interestingly, the composition of the hepatic bile acids (BAs) was more beneficial for Tg BDL mice than for WT BDL mice, suggesting that PRDX4 overexpression may affect BA metabolism during cholestasis. These features indicate that PRDX4 plays an important role in protecting against liver injury following BDL and might be a promising therapeutic modality for cholestatic diseases.
Effect of Gender on the Outcome of Patients Receiving Immune Checkpoint Inhibitors for Advanced Cancer: A Systematic Review and Meta-Analysis of Phase III Randomized Clinical Trials

Evidence has recently emerged on the influence of gender on the immune system. In this systematic review and meta-analysis of phase III randomized clinical trials (RCTs), we explored the impact of gender on survival in patients with advanced cancer treated with immune checkpoint inhibitors (ICIs). We performed a comprehensive search of the literature updated to April 2018, including the Cochrane Central Register of Controlled Trials, PubMed, and EMBASE. We extracted data on study characteristics and risk of bias in duplicate. Of 423 unique citations, 21 RCTs were included, inherently to 12,635 patients. Both males and females showed reduced risk of death associated with ICIs use (HR 0.73, p < 0.001 and HR 0.77, p < 0.001, respectively). Subgroup analyses by specific ICI showed similar OS in both genders for anti-PD-1/PDL-1. Anti-CTLA-4 use was associated with longer OS in men only (HR 0.77, p < 0.012), with the exception of melanoma (in women, HR 0.80, p = 0.006). PFS was longer in men than in women (HR 0.67, p < 0.001 and HR 0.77, p = 0.100, respectively). Conclusively, ICIs use was associated with more favorable outcomes in men, particularly for anti-CTLA-4 agents. In melanoma, not gender-related factors may influence the anti-tumor immune response evoked by ICIs.
RTC-11 : adaptation of the resistance to change scale in two countries (Spain and Argentina)

Background: Resistance to change is the tendency to resist or avoid making changes; in addition, change is perceived as aversive. Resistance to change is a professional competence that can be evaluated. Objective: To adapt from the original English into Spanish the Resistance to Change Scale (RTC) by Oreg (2003) in two countries, Spain and Argentina. Method: The participants were 482 employed workers from Spain (Study 1) and 171 managers from Argentina (Study 2). Results: The results are presented in two studies and an unifactorial structure is demonstrated after exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are performed. The factor obtained has adequate reliability and evidence of validity is also confirmed if some external correlates and certain scales dealing with pro/anti-change behaviors, self-efficacy, the hardy personality and impulsivity are taken as references. Conclusions: This scale could be an ideal instrument for correctly identifying RTC and it can be used as a screening tool in combination with other instruments.
Management Sub-Advising in the Mutual Fund Industry

This is a study of how contractual mechanisms can mitigate agency conflicts in sub-advised mutual funds. Sub-advising contracts allow fund families to expand their product offerings to include new investment styles and thereby gain market share. We show that costly contractual arrangements, such as co-branding, multi-advising, and performance-based compensation, can mitigate agency conflicts in outsourcing and protect investors from potential underperformance. Fund families will find it cost-effective to implement such incentive mechanisms only when investors are sophisticated in assessing manager skill. The findings help to explain why a large percentage of fund families outsource their funds to advisory firms.
Entrepreneurial hysteresis and persistence in higher education a quasi-experiment on academic innovation

How does entrepreneurial education impact the persistence and hysteresis of entrepreneurial intent? Survival analysis is used to answer this question based on a quasi-experimental design. Being a member of an incubator increases entrepreneurial hysteresis by 66%. Females who do not benefit from that experience are less likely to persevere as entrepreneurs while participating in an incubator increases their entrepreneurial persistence by 131%. A policy implication consists in rethinking higher education in general and in particular across gender lines.
Global Migration in the 20th and 21st Centuries: the Unstoppable Force of Demography

This paper sheds light on the global migration patterns of the past 40 years, and produces migration projections for the 21st century, for two skill groups, and for all relevant pairs of countries. To do this, we build a simple model of the world economy, and we parameterize it to match the economic and socio-demographic characteristics of the world in the year 2010. We conduct a backcasting exercise which demonstrates that our model fits the past trends in international migration very well, and that historical trends were mostly governed by demographic changes. We then describe a set of migration projections for the 21st century. In line with backcasts, our world migration prospects and emigration rates from developing countries are mainly governed by socio-demographic changes: they are virtually insensitive to the technological environment. As far as OECD countries are concerned, we predict a highly robust increase in immigration pressures in general (from 12 in 2010 to 17-19% in 2050 and 25-28% in 2100), and in European immigration in particular (from 15% in 2010 to 23-25% in 2050 and 36-39% in 2100). Using development policies to curb these pressures requires triggering unprecedented economic takeoffs in migrants countries of origin. Increasing migration is therefore a likely phenomenon for the 21st century, and this raises societal and political challenges for most industrialized countries.
Patterns of Posttraumatic Stress Disorder Symptoms and Posttraumatic Growth in an Epidemiological Sample of Chinese Earthquake Survivors: A Latent Profile Analysis

Background: Posttraumatic stress disorder (PTSD) and posttraumatic growth (PTG) are different psychological outcomes triggered by exposure to extraordinarily traumatic events. In this study, we aimed to examine patterns of co-occurrence between DSM-5 PTSD symptoms and PTG, among natural disaster survivors, and to clarify whether empirically-based subgroups differed by several specific predictors. Methods: Latent profile analysis was used to examine patterns of self-reported PTSD symptoms and PTG in an epidemiological sample of 1063 Chinese earthquake survivors. Results: Three distinct profiles were identified, involving high PTSD/high PTG, mild PTSD/mild PTG, and mild PTSD/high PTG. Class membership was predicted by several variables, especially different sources of perceived social support. Conclusion: Our findings contribute to the knowledge about the coexisting patterns of PTSD and PTG, and provide suggestions for identifying high-risk individuals and providing effective interventions in clinical practice.
The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage

While mobile apps have become an integral part of everyday life, little is known about the factors that govern their usage. Particularly the role of geographic and cultural factors has been understudied. This article contributes by carrying out a large-scale analysis of geographic, cultural, and demographic factors in mobile usage. We consider app usage gathered from 25,323 Android users from 44 countries and 54,776 apps in 55 categories, and demographics information collected through a user survey. Our analysis reveals significant differences in app category usage across countries and we show that these differences, to large degree, reflect geographic boundaries. We also demonstrate that country gives more information about application usage than any demographic, but that there also are geographic and socio-economic subgroups in the data. Finally, we demonstrate that app usage correlates with cultural values using the Value Survey Model of Hofstede as a reference of cross-cultural differences.
Prenatal Exposure to Perfluoroalkyl Substances and Birth Outcomes; An Updated Analysis from the Danish National Birth Cohort

Perfluoroalkyl substances (PFASs) are widespread industrial pollutants that are extremely persistent in the environment. A previous study in the Danish National Birth Cohort (DNBC) found prenatal perfluorooctanoate (PFOA) exposure was associated with decreased birth weight, but had insufficient statistical power to evaluate adverse birth outcomes. Here, we conducted additional analyses in three samples originating from the DNBC for 3535 mothers and infant pairs to evaluate associations between prenatal PFASs exposures and low birth weight and preterm birth. Maternal plasma concentrations were measured for six types of PFASs in early pregnancy. Several PFASs were associated with a reduction in birth weight and gestational age. We estimated a nearly 2-fold increase in risks of preterm birth for the higher quartiles of PFOA and perflourooctanesulfonate (PFOS) exposure. In spline models, risk of preterm birth was increased for perfluorononanoic acid (PFNA), perfluoroheptane sulfonate (PFHpS) and perfluorodecanoic acid (PFDA) in higher exposure ranges. We also observed some elevated risks for low birth weight but these estimates were less precise. Our findings strengthen the evidence that in-utero PFASs exposures affect fetal growth. Future studies are needed to evaluate whether these associations persist with the decline of PFOA and PFOS in populations and should also investigate newer types of fluorinated compounds introduced more recently.
Prenatal diagnosis of chromosomal aberrations in fetuses with conotruncal heart defects by genome-wide high-resolution SNP array

Abstract Objectives: To explore chromosomal variations, including copy number variations (CNVs), in fetuses with conotruncal heart defect (CTD). Methods: During a 5-year period, a total of 129 fetuses with ascertained CTDs were investigated for chromosomal abnormalities using quantitative fluorescence PCR (QF-PCR) and chromosomal microarray analysis (CMA). Fetuses were divided into two subgroups: benign group (with normal QF-PCR results and benign CNVs) and nonbenign group [with aneuploidies, nonbenign CNVs [pathogenic CNVs and CNVs of unknown significance (VOUS)]. Data on fetal structural malformations, chromosomal variations, and pregnancy outcomes were collected and compared. Results: Of the 129 cases, 17 were found to have common aneuploidies. In the remaining 112 cases with normal a QF-PCR result, pathogenic CNVs, CNVs of VOUS, and benign CNVs were identified in 5.3, 5.3, and 4.5%, respectively. Compared with benign group, fetuses in nonbenign group had a significantly higher rate of neurologic defects (13.8 versus 3.0%, p < .05), overall extracardiac anomalies (86.2 versus 45.0%, p < .05), and perinatal death (57.1 versus 18.4%, p < .05), whereas, no significant difference in that of associated cardiovascular anomalies was noted (48.2 versus 46.0%, p = .29). Among the extracardiac anomalies, thymus abnormalities were strongly associated with nonbenign CNVs (33.3 versus 1% of fetuses in benign group, p < .05). Conclusions: Pathogenic CNVs, in addition to chromosomal aneuploidies, contributed to the pathogenesis of CTD. The presence of associated extracardiac anomalies including thymus abnormalities correlated with a higher probability of nonbenign chromosomal variations, which was associated with an unfavorable outcome.
Similarity-Based Summarization of Music Files for Support Vector Machines

Automatic retrieval of music information is an active area of research in which problems such as automatically assigning genres or descriptors of emotional content to music emerge. Recent advancements in the area rely on the use of deep learning, which allows researchers to operate on a low-level description of the music. Deep neural network architectures can learn to build feature representations that summarize music files from data itself, rather than expert knowledge. In this paper, a novel approach to applying feature learning in combination with support vector machines to musical data is presented. A spectrogram of the music file, which is too complex to be processed by SVM, is first reduced to a compact representation by a recurrent neural network. An adjustment to loss function of the network is proposed so that the network learns to build a representation space that replicates a certain notion of similarity between annotations, rather than to explicitly make predictions. We evaluate the approach on five datasets, focusing on emotion recognition and complementing it with genre classification. In experiments, the proposed loss function adjustment is shown to improve results in classification and regression tasks, but only when the learned similarity notion corresponds to a kernel function employed within the SVM. These results suggest that adjusting deep learning methods to build data representations that target a specific classifier or regressor can open up new perspectives for the use of standard machine learning methods in music domain.
Deep Learning Based Tumor Type Classification Using Gene Expression Data

Differential analysis occupies the most significant portion of the standard practices of RNA-Seq analysis. However, the conventional method is matching the tumor samples to the normal samples, which are both from the same tumor type. The output using such method would fail in differentiating tumor types because it lacks the knowledge from other tumor types. Pan-Cancer Atlas provides us with abundant information on 33 prevalent tumor types which could be used as prior knowledge to generate tumor-specific biomarkers. In this paper, we embedded the high dimensional RNA-Seq data into 2-D images and used a convolutional neural network to make classification of the 33 tumor types. The final accuracy we got was 95.59%, higher than another paper applying GA/KNN method on the same dataset. Based on the idea of Guided Grad Cam, as to each class, we generated significance heat-map for all the genes. By doing functional analysis on the genes with high intensities in the heat-maps, we validated that these top genes are related to tumor-specific pathways, and some of them have already been used as biomarkers, which proved the effectiveness of our method. As far as we know, we are the first to apply convolutional neural network on Pan-Cancer Atlas for classification, and we are also the first to match the significance of classification with the importance of genes. Our experiment results show that our method has a good performance and could also apply in other genomics data.
The Nurse Practitioners' Perspective on Inhaler Education in Asthma and Chronic Obstructive Pulmonary Disease

Asthma and chronic obstructive pulmonary disease (COPD) can be debilitating conditions adversely affecting a person's quality of life. Effective treatments are available, but common errors in the use of inhalers compound the issue of disease control. The beliefs and concerns of a patient can also have an impact on treatment adherence, the consequences of which are diminished disease control and the occurrence of exacerbations. Once a treatment has been prescribed, it is often nurses who manage the patient long-term, and they may even be the main care provider. This puts nurses in a key position to monitor inhaler technique, communicate with the patient to improve adherence, and even suggest alternative treatments if the patient and therapy are incompatible. This review examines the central role that nurses play in disease management and emphasizes how effective inhaler education can make a difference to disease control. Good communication between the nurse and patient is vital if this is to be achieved. Recent updates to asthma and COPD guidelines are reviewed, and key resources available to help manage patients are highlighted. Finally, with regard to inhaler education, we reconsider the nursing keystones of “Know it,” “Show it,” “Teach it,” and “Review it. ”
Resilience and Its Predictors Among Chinese Liver Cancer Patients Undergoing Transarterial Chemoembolization.

BACKGROUND Although resilience has many positive effects on cancer patients, little is known about the level of resilience and its predictors in Chinese liver cancer patients undergoing transarterial chemoembolization (TACE). OBJECTIVE The aims of this study were to evaluate resilience level and identify its predictors among Chinese liver cancer patients undergoing TACE. METHODS Two hundred fifty-one patients were recruited from a tertiary hospital in Shanghai, China. According to Kumpfer's resilience framework, participants were assessed with Connor-Davidson Resilience Scale, Demographic and Disease-Related Information, Family Apgar Scale, Social Support Rating Scale, Herth Hope Index, General Self-efficacy Scale, and Simplified Coping Style Questionnaire. Multiple regression analysis was conducted to find predictors of resilience. RESULTS The average score for Connor-Davidson Resilience Scale was 70.33 (11.70). Multiple regression identified that educational level, time span since diagnosis, family function, social support, hope, self-efficacy, and positive coping strategies predicted higher resilience, whereas metastasis predicted lower resilience. These predictors accounted for 61.8% of the total variance in resilience. CONCLUSIONS Resilience in liver cancer patients undergoing TACE needs to be further improved, which was positively predicted by educational level, time span since diagnosis, family function, social support, hope, self-efficacy, and positive coping strategies, but was negatively predicted by metastasis. Hope had the largest influence on resilience. IMPLICATIONS FOR PRACTICE Interventions aimed to improve hope are crucial to patients' resilience. Additional attention should be given to patients who had lower educational level or had metastasis. Family-centered interventions and strategies used to strengthen self-efficacy and positive coping strategies are also important in improving patients' resilience.
IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey

The use of the Internet is growing in this day and age, so another area has developed to use the Internet, called Internet of Things (IoT). It facilitates the machines and objects to communicate, compute and coordinate with each other. It is an enabler for the intelligence affixed to several essential features of the modern world, such as homes, hospitals, buildings, transports and cities. The security and privacy are some of the critical issues related to the wide application of IoT. Therefore, these issues prevent the wide adoption of the IoT. In this paper, we are presenting an overview about different layered architectures of IoT and attacks regarding security from the perspective of layers. In addition, a review of mechanisms that provide solutions to these issues is presented with their limitations. Furthermore, we have suggested a new secure layered architecture of IoT to overcome these issues.
Protective Effect of Eckol against Acute Hepatic Injury Induced by Carbon Tetrachloride in Mice

Several in vitro studies have shown the potential hepatoprotective properties of eckol, a natural phlorotannin derived from the brown alga. However, the in vivo hepatoprotective potential of eckol has not been determined. In this study, we performed an in vivo study to investigate the protective effect of eckol and its possible mechanisms on the carbon tetrachloride (CCl4)-induced acute liver injury model in mice. Results revealed that eckol pre-treatment at the dose of 0.5 and 1.0 mg/kg/day for 7 days significantly suppressed the CCl4-induced increases of alanine transaminase (ALT) and aspartate aminotransferase (AST) levels in serum and meliorated morphological liver injury. Terminal deoxynucleotidyl transferase-mediated dUTP nick end labelling (TUNEL) analysis showed that the number of positive apoptotic hepatocytes in the eckol-treated group was lower than that in the CCl4 model group. Western blotting analysis also demonstrated the enhanced expression of bcl-2 and suppressed expression of cleaved caspase-3 by eckol. The CCl4-induced oxidative stress in liver was significantly ameliorated by eckol, which was characterized by reduced malondialdehyde (MDA) formations, and enhanced superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) activities and glutathione (GSH) content. Moreover, the CCl4-induced elevations of pro-inflammatory cytokines tumor necrosis factor (TNF)-α, interleukin (IL)-1β and IL-6 were markedly suppressed in the eckol-treated group. However, eckol enhanced the level of IL-10, a potent anti-inflammatory cytokine, and recruited CD11c+ dendritic cells into the liver tissues of CCl4-treated mice. These results indicated that eckol has the protective effect on CCl4-induced acute liver injury via multiple mechanisms including anti-apoptosis, anti-oxidation, anti-inflammation and immune regulation.
Aging and Thermoregulatory Control: The Clinical Implications of Exercising under Heat Stress in Older Individuals

Climate change is predicted to bring about a greater variability in weather patterns with an increase in extreme weather events such as sustained heat waves. This change may have a direct impact on population health since heat waves can exceed the physiological limit of compensability of vulnerable individuals. Indeed, many clinical reports suggest that individuals over the age of 60 years are consistently the most vulnerable, experiencing significantly greater adverse heat-related health outcomes than any other age cohort during environmental heat exposure. There is now evidence that aging is associated with an attenuated physiological ability to dissipate heat and that the risk of heat-related illness in these individuals is elevated, particularly when performing physical activity in the heat. The purpose of this review is to discuss mechanisms of thermoregulatory control and the factors that may increase the risk of heat-related illness in older individuals. An understanding of the mechanisms responsible for impaired thermoregulation in this population is of particular importance, given the current and projected increase in frequency and intensity of heat waves, as well as the promotion of regular exercise as a means of improving health-related quality of life and morbidity and mortality. As such, the clinical implications of this work in this population will be discussed.