Miracle-dz/UniFAR-FTUs huggingface dataset:
Biochemical and Molecular Mechanisms of Platelet-Rich Plasma in Ameliorating Liver Fibrosis Induced by Dimethylnitrosurea

Background/Aims: Hepatic fibrosis is a wound-healing process in the chronically injured liver. Clinical application of platelet-rich plasma (PRP) is of considerable interest for wound healing and regeneration. In view of the regeneration effect of PRP, we designed this study to explore the hypothesis that PRP could play a role in improving the biochemical and molecular changes that occur in liver fibrosis induced by dimethylnitrosamine (DMN) in rats. Methods: Four groups were studied: control, PRP control, DMN (liver fibrosis), and DMN+PRP groups. Serum liver enzymes (alanine amino transferase ALT, aspartate amino transferase AST, gamma glutamyl transferase GGT, and lactate dehydrogenase LDH), and liver hydroxyproline content were measured colorimetrically.Interleukin-8 (IL-8) and B-cell lymphoma (Bcl2) were determined by enzyme-linked immunosorbent assay. And the expression levels of alpha-smooth muscle actin (α-SMA) ,transforming growth factor (TGF-β), and nuclear factor kappa B1(NF-қB1) were evaluated by quantitative real-time polymerase chain reaction. Results: Our results showed that PRP markedly improved the DMN-induced changes in liver enzymes accompanied by a significant decrease in liver hydroxyproline content and IL-8 level induced by DMN, and an increase in the anti-apoptotic marker Bcl-2. PRP also showed significant down-regulation of fibrosis-related genes α-SMA and TGF-β and a significant decrease in the inflammatory marker NF-қB1. Conclusion: Based on these encouraging results, we consider that PRP could be a promising new agent for liver regeneration and alleviation of fibrosis.
The human blood DNA methylome identifies crucial role of β-catenin in the pathogenesis of Kawasaki disease

Kawasaki disease (KD) is a type of acute febrile vasculitis syndrome and is the most frequent cause of cardiac illness in children under the age of five years old. Although the etiology of KD remains largely unknown, some recent genome-wide studies have indicated that epigenetic factors may be important in its pathogenesis. We enrolled 24 KD patients and 24 non-KD controls in this study to access their DNA methylation status using HumanMethylation450 BeadChips. Another 34 KD patients and 62 control subjects were enrolled for expression validation. Of the 3193 CpG methylation regions with a methylation difference ≥ 20% between KD and controls, 3096 CpG loci revealed hypomehtylation, with only 3% being hypermethylated. Pathway buildup identified 11 networked genes among the hypermethylated regions, including four transcription factors: nuclear factor of activated T-cells 1, v-ets avian erythroblastosis virus E26 oncogene homolog 1, runt related transcription factor 3, and retinoic acid receptor gamma, as well as the activator β-catenin. Ten of these network-selected genes demonstrated a significant decrease in mRNA in KD patients, whereas only CTNNB1 significantly decreased in correlation with coronary artery lesions in KD patients. Furthermore, CTNNB1-silenced THP-1 monocytic cells drastically increased the expression of CD40 and significantly increased the expression of both CD40 and CD40L in cocultured human coronary artery endothelial cells. This study is the first to identify network-based susceptible genes of hypermethylated CpG loci, their expression levels, and the functional impact of β-catenin, which may be involved in both the cause and the development of KD.
Blood Telomere Length Changes After Ritonavir-Boosted Darunavir Combined With Raltegravir or Tenofovir-Emtricitabine in Antiretroviral-Naive Adults Infected With HIV-1

Background Tenofovir is a potent inhibitor of human telomerase. The clinical relevance of this inhibition is unknown. Methods NEAT001/ANRS143 is a randomized trial that showed noninferiority over 96 weeks of ritonavir-boosted darunavir plus raltegravir versus tenofovir disoproxil fumarate/emtricitabine in 805 antiretroviral antiretrovrial-naive HIV-infected adults. We compared changes in whole-blood telomere length measured with quantitative polymerase chain reaction in 201 randomly selected participants (104 raltegravir and 97 tenofovir disoproxil fumarate/emtricitabine). We performed multivariable estimative and predictive linear regression. Results At week 96, participants receiving tenofovir disoproxil fumarate/emtricitabine had a statistically significant higher gain in telomere length than participants receiving raltegravir. Difference in mean telomere length change between groups (tenofovir disoproxil fumarate/emtricitabine minus raltegravir) from baseline to week 96 adjusted by baseline telomere length was 0.031 (P = .009). This difference was not significantly confounded by age, gender, known duration of HIV infection, CD4 (baseline/nadir), CD8 cells, CD4/CD8 ratio, HIV viral load (baseline/week 96), tobacco and alcohol consumption, statins, or hepatitis C. Conclusion Antiretroviral-naive HIV-infected adults receiving ritonavir-boosted darunavir and tenofovir disoproxil fumarate/emtricitabine had a significant higher gain in blood telomere length than those receiving ritonavir-boosted darunavir and raltegravir, suggesting a better initial recovery from HIV-associated immunosenescence.
Effects of napping on cognitive function modulation in elderly adults with a morning chronotype: A nationwide survey

Circadian rhythms and napping habits have been associated with cognitive function; however, little is known about the interaction effects on cognitive function. The present study examined the moderating effects of napping habits on the relationship between chronotypes and cognitive function decline in elderly adults. This cross‐sectional study analysed data from the 2009 Taiwan National Health Interview Survey. A total of 1,724 elderly adults (aged ≥65 years) were included. Cognitive function was determined by the Mini‐Mental State Examination. Participants’ chronotypes were assessed using the midpoint of sleep. Napping habits were assessed by self‐report questions. Demographic data, health‐related factors and sleep characteristics of the participants were also assessed as potential confounding factors. A hierarchical regression will be used to test the moderating role of napping habits in the relationship between chronotype and cognitive function level after adjustment for potential confounders. A significant interaction effect between chronotype and napping habits was observed with the MMSE score (b = −0.29, SE = 0.14, p = 0.03). Morning‐type elderly patients with nap durations >60 min exhibited significantly higher MMSE scores than non‐nappers (F = 7.48; p = 0.00). This nationwide survey confirms that in morning‐type elderly adults, nap durations >60 min are associated with less cognitive decline; however, napping habits are not associated with cognitive function level in evening‐type and intermediate‐type elderly adults.
Attitudes Toward Computers Across Adulthood From 1994 to 2013

Background and Objectives Regardless of the increased deployment of technologies in everyday living domains, barriers remain that hamper technology adoption by older adults. Understanding barriers to adoption such as individual differences in attitudes toward computers is important to the design of strategies to reduce age-related digital disparities. Research Design and Methods This article reports a time-sequential analysis of data from the Edward R. Roybal Center on Human Factors and Aging Research and the Center for Research and Education on Aging and Technology Enhancement (CREATE) on computer attitudes among a large (N = 3,917), diverse sample of community-dwelling adults aged from 18 to 98 years. The data were gathered from 1994 to 2013. Results The findings indicated that there are still age disparities in attitudes; older adults report less comfort with and less efficacy about using computers than younger people. We also found a cohort (birth year) effect; attitudes are generally more positive among more recent birth cohorts. Those who have more education and experience with computers also have more positive attitudes. Males generally have more positive attitudes than females; however, the gender difference decreases with increased age. Discussion and Implications Technology affords potential benefits for older people, but lack of uptake in technology clearly puts older adults at a disadvantage in terms of negotiating today's digital world. This article provides insight into attitudinal barriers that may affect on technology uptake among older adults. The findings have implications for the design of technology training programs, design of technology systems, and policy.
Lessons Learned: Young Children’s Use of Generic-You to Make Meaning From Negative Experiences

Learning from negative experiences is an essential challenge of childhood. How do children derive meaning from such events? For adults, one way is to move beyond the specifics of a situation by framing it as exemplifying a more general phenomenon. Here we examine whether children are able to make meaning in this way through their use of generic-you, a linguistic device in which people shift from the here and now to refer to people in general. Participants (N = 89, aged 4–10 years) listened to 2 stories depicting common conflicts and were asked to discuss what lessons the character could learn (Lessons Learned condition) and how the character felt (Relive condition). In the Lessons Learned condition, children were more likely to produce generic-you than in the Relive condition. These findings suggest that young children can make meaning from negative experiences by transcending the immediate context of an event to cast it as normative and general.
Combined aerobic exercise and high-intensity respiratory muscle training in patients surgically treated for non-small cell lung cancer: a pilot randomized clinical trial.

BACKGROUND Lung resection surgery further decreases exercise capacity and negatively affects respiratory muscle function in patients with non-small cell lung cancer (NSCLC). The best design for exercise interventions in these patients has not been determined yet. AIM To assess the impact of aerobic exercise and high-intensity respiratory muscle training on patient outcomes following lung cancer resection surgery. DESIGN Prospective, single-blind, pilot randomized controlled trial. SETTING Outpatient cardiopulmonary rehabilitation unit of two university hospitals. POPULATION Thirty-seven patients with NSCLC after tumor resection. METHODS Patients were randomly assigned to exercise training or usual post-operative care. The training program consisted of aerobic exercises and high-intensity respiratory muscle training (24 supervised sessions, 3 per week, 8 weeks). Primary outcome was exercise capacity assessed with peak oxygen uptake (VO2peak) during cardiopulmonary exercise test. Secondary outcomes included changes in respiratory muscle strength, levels of serum insulin growth factor I (IGF-I) and IGF binding protein 3 (IGFBP-3), and quality of life assessed with the European Organization for Research and Treatment of Cancer (EORTC QLQ-C30) questionnaire. RESULTS The 8-week training program was associated with significant improvement in VO2peak (2.13 mL/Kg/min [95%CI 0.06 to 4.20]), maximal inspiratory and expiratory pressures (18.96 cmH2O [95% CI 2.7 to 24.1] and 18.58 cmH2O [95% CI 4.0 to 33.1], respectively) and IGFBP-3 (0.61 µg/mL [%95 CI 0.1 to 1.12]). No significant differences were observed in the EORTC QLQ-C30. CONCLUSIONS An 8-week exercise program consisting of aerobic exercise and high-intensity respiratory muscle training improved exercise capacity, respiratory muscle strength, and serum IGFBP-3 levels in NSCLC patients after lung resection. There was no impact on the other outcomes assessed. CLINICAL REHABILITATION IMPACT A combination of aerobic exercise and respiratory muscle training could be included in the rehabilitation program of deconditioned patients with NSCLC after lung resection surgery.
PIR-PSI: Scaling Private Contact Discovery

Abstract An important initialization step in many social-networking applications is contact discovery, which allows a user of the service to identify which of its existing social contacts also use the service. Naïve approaches to contact discovery reveal a user’s entire set of social/professional contacts to the service, presenting a significant tension between functionality and privacy. In this work, we present a system for private contact discovery, in which the client learns only the intersection of its own contact list and a server’s user database, and the server learns only the (approximate) size of the client’s list. The protocol is specifically tailored to the case of a small client set and large user database. Our protocol has provable security guarantees and combines new ideas with state-of-the-art techniques from private information retrieval and private set intersection. We report on a highly optimized prototype implementation of our system, which is practical on real-world set sizes. For example, contact discovery between a client with 1024 contacts and a server with 67 million user entries takes 1.36 sec (when using server multi-threading) and uses only 4.28 MiB of communication.
A Language as a Self-Organized Critical System

A natural language (represented by texts generated by native speakers) is considered as a complex system, and the type thereof to which natural languages belong is ascertained. Namely, the authors hypothesize that a language is a self-organized critical system and that the texts of a language are “avalanches” flowing down its word cooccurrence graph. The respective statistical characteristics for distributions of the number of words in the texts of English and Russian languages are calculated; the samples were constructed on the basis of corpora of literary texts and of a set of social media messages (as a substitution to the oral speech). The analysis found that the number of words in the texts obeys power-law distribution.
Learning from Online Social Ties

We ask whether online opinions impact consumers' decision quality and assess whether this impact occurs immediately or requires one to undergo learning first. We focus on a setting where consumers have multiple learning experiences using opinions from both uni- and bi-directional network ties. This allows us to investigate the impact of learning from both weak and strong ties. We find that, with sufficient learning experience, having more ties may lead to better decisions. However, the dynamic effects are dependent on the strength of the tie. Additional strong ties (operationalized as bi-directional links) lead to immediate positive effects on decision quality. However, additional weak ties (uni-directional, follower relationships) as a source of information lead initially to lower decision quality. We find learning effects, however: adding more weak ties improves decision quality once one has sufficient experience in the community. Indeed, highly-experienced consumers receive, ultimately, higher positive effects on decision quality from weak ties as compared with strong ties. We interpret this as demonstrating that one needs to learn the norms of a new community before using the available information to improve decisions.
KDM5B demethylates H3K4 to recruit XRCC1 and promote chemoresistance

Chemotherapy is the main treatment for human cancers including gastric cancer. However, in response to chemotherapeutic drugs, tumor cells can develop drug resistance by reprogramming intracellular metabolic and epigenetic networks to maintain their intrinsic homeostasis. Previously, we have established cisplatin-resistant gastric cancer cells as a drug resistant model, and elucidated the XRCC1 as the core DNA repair mechanism of drug resistance. This study investigated the regulation of XRCC1 by lysine demethylase 5B (KDM5B) in drug resistance. We found that the methylation level of H3K4 decreased significantly in drug-resistant cells. The chemical inhibitor of H3K4 demethylases, JIB-04, restored the methylation of H3K4 and blocked the co-localization of XRCC1 and γH2AX, eventually improved drug sensitivity. We further found that the expression level of KDM5B increased significantly in drug-resistant cells. Knockdown of KDM5B increased the methylation level of H3K4 and blocked the localization of XRCC1 to the DNA damage site, leads to increased drug sensitivity. In the sensitive cells, overexpression of KDM5B suppressed H3K4 methylation levels, which resulted to resistance to cisplatin. Moreover, we found that the posttranslational modification of KDM5B is responsible for its high expression in drug-resistant cells. Through mass spectrometry screening and co-immunoprecipitation validation, we found that the molecular chaperone HSP90 forms a complex with KDM5B in drug resistance cells. Interestingly, HSP90 inhibitor 17-AAG induced KDM5B degradation in a time-and-dose-dependent manner, indicating that HSP90 protected KDM5B from protein degradation. Targeting inhibition of HSP90 and KDM5B reversed drug resistance both in vitro and in vivo. Taken together, molecular chaperon HSP90 interacted with KDM5B to protect it from ubiquitin-dependent proteasomal degradation. Increased KDM5B demethylated H3K4 and facilitated the recruitment of XRCC1 to repair damaged DNA. Therefore, inhibition of HSP90 or KDM5B represented a novel approach to reverse chemoresistance in human cancers.
Showrooming and Webrooming: Information Externalities Between Online and Offline Sellers

In a product market where consumers are open to uninformed purchases, we study competition between a traditional and an online retailer in the presence of showrooming. Several results are obtained. First, showrooming intensifies competition and lowers both firms' profits, thus supporting traditional and online retailers' recent strategy of carrying more exclusive varieties. Second, lowering consumer search costs may aggravate showrooming and decrease the traditional retailer's profits for intermediate search costs. Third, opening an online store expands the demand of the traditional retailer but intensifies competition, thus lowering its profits under certain conditions. Fourth, a return policy by the online retailer alleviates showrooming and relaxes competition but weakly reduces its demand, increasing its profits only for intermediate search costs. The return policy weakly increases the traditional retailer's profits. Fifth, when search cost is not high enough, price matching by the traditional retailer may also intensify competition and hurt its profits. We then examine how webrooming interacts with showrooming. When webrooming resolves partial match uncertainty, it may increase both firms' profits by inducing more consumers to participate. The online appendix is available at https://doi.org/10.1287/mksc.2018. 1084 .
Competitive Strategies for Brick-and-Mortar Stores to Counter 'Showrooming'

Customers often evaluate products at brick-and-mortar stores to identify their “best-fit” product but buy it for a lower price at a competing online retailer. This free-riding behavior by customers is referred to as “showrooming,” and we show that this is detrimental to the profits of the brick-and-mortar stores. We first analyze price matching as a short-term strategy to counter showrooming. Price matching allows customers to purchase a product from the store for less than the store’s posted price, so one would expect the price matching strategy to be less effective as the fraction of customers who seek the matching increases. However, our results show that with an increase in the fraction of customers who seek price matching, the store’s profits initially decrease and then increase. While price matching could be used even when customers do not exhibit showrooming behavior, we find that it is more effective when customers do showrooming. We then study exclusivity of product assortments as a long-term str.
Quality at the Source or at the End? Managing Supplier Quality Under Information Asymmetry

Despite the many benefits of outsourcing, firms are still concerned about the lack of critical information regarding both the risk levels and actions of their suppliers, who are usually just a few links away. Usually, companies manage supply chain risks by deferring payments to suppliers until after the delivery has been made. Even though the deferred payment approach shunts the risk from the buyer to the supplier, recent supply chain failures suggest that it does not necessarily eliminate the risk completely. Hence, many companies offer incentives and conduct inspections of the actions taken at the source rather than waiting for the end delivery. In this paper, we study the effectiveness of such incentive and inspection mechanisms undertaken by manufacturers to manage the quality of suppliers who are “privately” aware of the risk of failure. By comparing the agency costs associated with each contractual setting, we characterize the value of output- and action-based incentive mechanisms from the perspecti.
Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation

Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice. It often starts with asymptomatic and short episodes, which are difficult to detect without the assistance of automatic monitoring tools. The vast majority of methods proposed for this purpose are based on quantifying the irregular ventricular response (i.e., RR series) during the arrhythmia. However, although AF totally alters the atrial activity (AA) reflected on the electrocardiogram (ECG), replacing stable P-waves by chaotic and time-variant fibrillatory waves, this information has still not been explored for automated screening of AF. Hence, a pioneering AF detector based on quantifying the variability over time of the AA morphological pattern is here proposed. Results from two public reference databases have proven that the proposed method outperforms current state-of-the-art algorithms, reporting accuracy higher than 90%. A less false positive rate in the presence of other arrhythmias different from AF was also noticed. Finally, the combination of this algorithm with the classical analysis of RR series variability also yielded a promising trade-off between AF accuracy and detection delay. Indeed, this combination provided similar accuracy than RR-based methods, but with a significantly shorter delay of 10 beats.
A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

This paper presents a novel approach for clustering, which is based on quasi-consensus of dynamical linear high-order multiagent systems. The graph topology is associated with a selected multiagent system, with each agent corresponding to one vertex. In order to reveal the cluster structure, the agents belonging to a similar cluster are expected to aggregate together. To establish the theoretical foundation, a necessary and sufficient condition is given to check the achievement of group consensus. Two numerical instances are furnished to illustrate the results of our approach.