Miracle-dz/UniFAR-FTUs huggingface dataset:
An Implication for Design of Enterprise Information Systems from the Cultural Features on the User Behaviors at SNS Sites

Many kinds of spontaneous information systems can be found as the cultural characteristics of the user communities around SNS sites which many people use in the world. However, the users' activities are quite different in Japan and China. In China, most of the users are exchanging information actively and freely with strangers and friends on SNS sites, in contrast most of the users in Japan do not post. The difference in such a situation of users is originating from cultural difference and the social context of each country. Clarifying a difference of a spontaneous information system as causal relationship with the cultural characteristics brings many suggestion to an EIS design because the globalized EIS must include the various types of users and be used in the various social contexts under the various cultural environments. This paper considers the cultural features on the spontaneous information systems formed by these users through the behavior analysis of the users of each SNS site in Japan and China under the same Oriental Kulturkreis. And it discusses about an implication for EIS design under globalization.
Detecting splogs using similarities of splog HTML structures

Spam blogs or splogs are blogs hosting spam posts, created using machine generated or hijacked content for the sole purpose of hosting advertisements or increasing the number of inlinks of target sites. Among those splogs, this paper focuses on detecting a group of splogs which are estimated to be created by an identical spammer. We especially show that similarities of html structures among those splogs created by an identical spammer contribute to improving the performance of splog detection. In measuring similarities of html structures, we extract a list of blocks (minimum unit of content) from the DOM tree of a html file. We show that the html files of splogs estimated to be created by an identical spammer tend to have similar DOM trees and this tendency is quite effective in splog detection.
Induced first-trimester abortion and risk of mental disorder.

BACKGROUND Concern has been expressed about potential harm to women's mental health in association with having an induced abortion, but it remains unclear whether induced abortion is associated with an increased risk of subsequent psychiatric problems. METHODS We conducted a population-based cohort study that involved linking information from the Danish Civil Registration system to the Danish Psychiatric Central Register and the Danish National Register of Patients. The information consisted of data for girls and women with no record of mental disorders during the 1995-2007 period who had a first-trimester induced abortion or a first childbirth during that period. We estimated the rates of first-time psychiatric contact (an inpatient admission or outpatient visit) for any type of mental disorder within the 12 months after the abortion or childbirth as compared with the 9-month period preceding the event. RESULTS The incidence rates of first psychiatric contact per 1000 person-years among girls and women who had a first abortion were 14.6 (95% confidence interval [CI], 13.7 to 15.6) before abortion and 15.2 (95% CI, 14.4 to 16.1) after abortion. The corresponding rates among girls and women who had a first childbirth were 3.9 (95% CI, 3.7 to 4.2) before delivery and 6.7 (95% CI, 6.4 to 7.0) post partum. The relative risk of a psychiatric contact did not differ significantly after abortion as compared with before abortion (P = 0.19) but did increase after childbirth as compared with before childbirth (P < 0.001). CONCLUSIONS The finding that the incidence rate of psychiatric contact was similar before and after a first-trimester abortion does not support the hypothesis that there is an increased risk of mental disorders after a first-trimester induced abortion.
Suppression of microRNA-16 protects against acute myocardial infarction by reversing beta2-adrenergic receptor down-regulation in rats

microRNA-16 (miR-16) has been shown to be up-regulated in ischemic heart. Beta2-adrenoreceptor (β2-AR) exerts cardioprotective property in ischemic injury. This study aims to determine the effect of miR-16 in cardiac injury in rats and the possible involvement of β2-AR in this process. Acute myocardial infarction (AMI) model in rats was induced by ligation of left coronary artery. Neonatal rat ventricular cells (NRVCs) were cultured in vitro tests. The cardiomyocyte model of oxidative injury was mimicked by hydrogen peroxide. The expression of miR-16 was obviously up-regulated and β2-AR was remarkably down-regulated in both AMI rats and NRVCs under oxidative stress. miR-16 over-expression in NRVCs reduced cell viability and increased apoptosis. Conversely, inhibition of endogenous miR-16 with its specific inhibitor reversed these changes. Over-expression of miR-16 using an miR-16 lentivirus in AMI rats markedly increased cardiac infarct area, lactate dehydrogenase and creatine kinase activity, and exacerbated cardiac dysfunction. Lentivirus-mediated knockdown of miR-16 alleviated acute cardiac injury. Moreover, miR-16 over-expression significantly suppressed β2-AR protein expression in both cultured NRVCs and AMI rats, while inhibition of miR-16 displayed opposite effect on β2-AR protein expression. Luciferase assay confirmed that miR-16 could directly target the 3′untranslated region of β2-AR mRNA. miR-16 is detrimental to the infarct heart and suppression of miR-16 protects rat hearts from ischemic injury via up-regulating of β2-AR by binding to the 3′untranslated region of β2-AR gene. This study indicates that targeting miR-16/β2-AR axis may be a promising strategy for ischemic heart disease.
Neuronal Stimulation Induces Autophagy in Hippocampal Neurons That Is Involved in AMPA Receptor Degradation after Chemical Long-Term Depression

Many studies have reported the roles played by regulated proteolysis in synaptic plasticity and memory, but the role of autophagy in neurons remains unclear. In mammalian cells, autophagy functions in the clearance of long-lived proteins and organelles and in adaptation to starvation. In neurons, although autophagy-related proteins (ATGs) are highly expressed, autophagic activity markers, autophagosome (AP) number, and light chain protein 3-II (LC3-II) are low compared with other cell types. In contrast, conditional knock-out of ATG5 or ATG7 in mouse brain causes neurodegeneration and behavioral deficits. Therefore, this study aimed to test whether autophagy is especially regulated in neurons to adapt to brain functions. In cultured rat hippocampal neurons, we found that KCl depolarization transiently increased LC3-II and AP number, which was partially inhibited with APV, an NMDA receptor (NMDAR) inhibitor. Brief low-dose NMDA, a model of chemical long-term depression (chem-LTD), increased LC3-II with a time course coincident with Akt and mammalian target of rapamycin (mTOR) dephosphorylation and degradation of GluR1, an AMPA receptor (AMPAR) subunit. Downstream of NMDAR, the protein phosphatase 1 inhibitor okadaic acid, PTEN inhibitor bpV(HOpic), autophagy inhibitor wortmannin, and short hairpin RNA-mediated knockdown of ATG7 blocked chem-LTD-induced autophagy and partially recovered GluR1 levels. After chem-LTD, GFP-LC3 puncta increased in spines and in dendrites when AP–lysosome fusion was blocked. These results indicate that neuronal stimulation induces NMDAR-dependent autophagy through PI3K–Akt–mTOR pathway inhibition, which may function in AMPAR degradation, thus suggesting autophagy as a contributor to NMDAR-dependent synaptic plasticity and brain functions.
Aryl Hydrocarbon Receptor-Mediated Perturbations in Gene Expression during Early Stages of CD4+ T-cell Differentiation

Activation of the aryl hydrocarbon receptor (AhR) by its prototypic ligand, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), mediates potent suppression of T-cell dependent immune responses. The suppressive effects of TCDD occur early during CD4+ T-cell differentiation in the absence of effects on proliferation and have recently been associated with the induction of AhR-dependent regulatory T-cells (Treg). Since AhR functions as a ligand-activated transcription factor, changes in gene expression induced by TCDD during the early stages of CD4+ T-cell differentiation are likely to reflect fundamental mechanisms of AhR action. A custom panel of genes associated with T-cell differentiation was used to query changes in gene expression induced by exposure to 1 nM TCDD. CD4+ T-cells from AhR+/+ and AhR−/− mice were cultured with cytokines known to polarize the differentiation of T-cells to various effector lineages. Treatment with TCDD induced the expression of Cyp1a1, Cyp1b1, and Ahrr in CD4+ T-cells from AhR+/+ mice under all culture conditions, validating the presence and activation of AhR in these cells. The highest levels of AhR activation occurred under Th17 conditions at 24 h and Tr1 conditions at 48 h. Unexpectedly, expression levels of most genes associated with early T-cell differentiation were unaltered by AhR activation, including lineage-specific genes that drive CD4+ T-cell polarization. The major exception was AhR-dependent up-regulation of Il22 that was seen under all culture conditions. Independent of TCDD, AhR down-regulated the expression of Il17a and Rorc based on increased expression of these genes in AhR-deficient cells across culture conditions. These findings are consistent with a role for AhR in down-regulation of inflammatory immune responses and implicate IL-22 as a potential contributor to the immunosuppressive effects of TCDD.
Post­editing Experiments with MT for a Controlled Language 1

This paper aims to establish whether a new controlled language (CL) for emergency­related texts could facilitate both human and machine translation. To achieve this, an experiment involving an MT engine and human translators and post­editors was conduced. In order to estimate whether the CL pre­editing has an impact on human and machine translation, the time to manually translate, the time to post­edit and the edit distance between the original and the simplified texts were measured. The results of the experiment confirm the hypothesis.
One-Step Protein Purification: Use of a Novel Epitope Tag for Highly Efficient Detection and Purific

We used the interaction between an epitope of the Tobacco mosaic virus 54K replicase (tag54) and its corre- sponding monoclonal antibody 54 (mAb54) for the design of a new epitope-tagging system. We fused the DNA sequence of tag54 and two elongated derivates thereof to the C-terminus of the chloramphenicol acetyltransferase (CAT) gene and produced the tagged proteins in tobacco. Immunoblot and ELISA analysis demonstrated that the tagged proteins were de- tected with high sensitivity in plant extracts. Moreover, the tag54 system enabled the full recovery of the recombinant CAT with excellent purity through immunoaffinity chromatography.
DESIGN AND IMPLEMENTATION OF MARKS ( MIDDLEWARE ADAPTABILITY FOR RESOURCE DISCOVERY , KNOWLEDGE USABILITY AND SELF-HEALING ) MIDDLEWARE FOR PERVASIVE COMPUTING ENVIRONMENTS *

According to a recent survey, in 2005, 500+ million people used handheld devices (PDA, cell phone, etc.) worldwide, while this number was 200+ million in 1999[33]. Hence, this increase can play a vital role for pervasive computing. The goal of pervasive computing is to provide services to anyone anytime, overcoming the constraints of place, time and character. With this tremendous increase of use of handheld and wearable devices, the pervasive computing arena is becoming more strong and powerful day by day. Despite of having various physical constraints, most of the facilities enjoyed by resource-rich devices are tried to be incorporated in these tiny devices. That is why different research fields have been developed to cover this area. There are still some unexplored but crucial attributes like Knowledge Usability, Resource Discovery, and Self-healing that deserve high attention. Besides exploration, implementation as well as evaluation of these features from security and privacy perspectives is also needed. In this paper, we illustrate the design and implementation of a middleware, which incorporates these less explored areas of pervasive computing not only to guarantee the optimum utilization of the physical capabilities but also to ensure the highest degree of security and supreme privacy. The name of the middleware is MARKS since it stands for Middleware Adaptability for Resource Discovery, Knowledge Usability and Self-healing for Pervasive Computing Environments, which are illustrated in this paper.
Domain-specific perceptual causality in children depends on the spatio-temporal configuration, not motion onset

Humans, even babies, perceive causality when one shape moves briefly and linearly after another. Motion timing is crucial in this and causal impressions disappear with short delays between motions. However, the role of temporal information is more complex: it is both a cue to causality and a factor that constrains processing. It affects ability to distinguish causality from non-causality, and social from mechanical causality. Here we study both issues with 3- to 7-year-olds and adults who saw two computer-animated squares and chose if a picture of mechanical, social or non-causality fit each event best. Prior work fit with the standard view that early in development, the distinction between the social and physical domains depends mainly on whether or not the agents make contact, and that this reflects concern with domain-specific motion onset, in particular, whether the motion is self-initiated or not. The present experiments challenge both parts of this position. In Experiments 1 and 2, we showed that not just spatial, but also animacy and temporal information affect how children distinguish between physical and social causality. In Experiments 3 and 4 we showed that children do not seem to use spatio-temporal information in perceptual causality to make inferences about self- or other-initiated motion onset. Overall, spatial contact may be developmentally primary in domain-specific perceptual causality in that it is processed easily and is dominant over competing cues, but it is not the only cue used early on and it is not used to infer motion onset. Instead, domain-specific causal impressions may be automatic reactions to specific perceptual configurations, with a complex role for temporal information.
Prediction of Urban Traffic Abnormity Based on Causal Network

Traffic abnormity seriously impacts the normal operation of urban transport system. The detection of traffic abnormity is a passive mode and of limited effectiveness. A prediction method of traffic abnormity is proposed, which can be a proactive response mode. Three parameters are brought in to describe the traffic abnormity. ARIMA is applied to predict these three parameters first. Taxi GPS data is used to train the neural network and predict the traffic abnormity on the dimension of time. Because of the background probability, the results of basic predicting model need to be modified more precisely. Causal network is employed to revise the predicting results on the spatial dimension. Results of Pearson test shows that the modified predicting results of traffic abnormity could be acceptable with the confidence level 80%.
Multi-user wireless access to a digital cable system

We describe a system, a wireless overlay on existing hybrid fiber/coax digital packet-based networks, for high-speed, short-range wireless access to video programming services, to the Internet, and to the telephone, cellular mobile, and other communication networks. Wireless access may be provided to both fixed (residential) users and to passersby with portable devices. Smart transponder nodes and antennas are densely distributed along the access cable line for wireless communication with user nodes. The antennas along a cable access line form an adaptive "superantenna" that is excited, for downstream transmission, by short sequences of vector signals that cancel radio interference. These excitations can be derived from a stable adaptive process. Upstream transmission from a subscriber node is designed so that the vector received by the superantenna can be used to separate this signal from that of other users' transmitters. Cooperation among end users is not necessary but is possible. Antenna excitation signals are controlled from the system headend, based on processing that uses measured channel parameters between the sets of access line and user antennas. A program controller in the headend, responding to end user requests, manages delivery of selected program streams and other customer services through generation of superimposed superantenna excitation signals that target multiple end users. This model offers opportunities for flexible capacity allocations and a wide range of programming and customized private.
Communication lower bounds via critical block sensitivity

We use critical block sensitivity, a new complexity measure introduced by Huynh and Nordström (STOC 2012), to study the communication complexity of search problems. To begin, we give a simple new proof of the following central result of Huynh and Nordström: if S is a search problem with critical block sensitivity b, then every randomised two-party protocol solving a certain two-party lift of S requires Ω(b) bits of communication. Besides simplicity, our proof has the advantage of generalising to the multi-party setting. We combine these results with new critical block sensitivity lower bounds for Tseitin and Pebbling search problems to obtain the following applications. • Monotone circuit depth: We exhibit a monotone function on n variables whose monotone circuits require depth Ω(n/log n); previously, a bound of Ω(√n was known (Raz and Wigderson, JACM 1992). Moreover, we prove a tight Θ(√n) monotone depth bound for a function in monotone P. This implies an average-case hierarchy theorem within monotone P similar to a result of Filmus et al. (FOCS 2013). • Proof complexity: We prove new rank lower bounds as well as obtain the first length--space lower bounds for semi-algebraic proof systems, including Lovász--Schrijver and Lasserre (SOS) systems. In particular, these results extend and simplify the works of Beame et al. (SICOMP 2007) and Huynh and Nordström.
Variance Components Linkage Analysis with Repeated Measurements

Background: When subjects are measured multiple times, linkage analysis needs to appropriately model these repeated measures. A number of methods have been proposed to model repeated measures in linkage analysis. Here, we focus on assessing the impact of repeated measures on the power and cost of a linkage study. Methods: We describe three alternative extensions of the variance components approach to accommodate repeated measures in a quantitative trait linkage study. We explicitly relate power and cost through the number of measures for different designs. Based on these models, we derive general formulas for optimal number of repeated measures for a given power or cost and use analytical calculations and simulations to compare power for different numbers of repeated measures across several scenarios. We give rigorous proof for the results under the balanced design. Results: Repeated measures substantially improve power and the proportional increase in LOD score depends mostly on measurement error and total heritability but not much on marker map, the number of alleles per marker or family structure. When measurement error takes up 20% of the trait variability and 4 measures/subject are taken, the proportional increase in LOD score ranges from 38% for traits with heritability of ~20% to 63% for traits with heritability of ~80%. An R package is provided to determine optimal number of repeated measures for given measurement error and cost. Variance component and regression based implementations of our methods are included in the MERLIN package to facilitate their use in practical studies.
[Does the EuroSCORE identify patients at minimum risk of mortality from heart surgery?].

INTRODUCTION AND OBJECTIVES Risk of hospital death is one of the key factors considered by the clinical cardiologist when weighting indications for surgery. Risk estimation scales establish distinct levels of risk in quantitative terms. The aim of the present study was to investigate whether a low EuroSCORE value corresponds to low mortality in our setting. PATIENTS AND METHODS During 1999-2000 we prospectively calculated the EuroSCORE for all patients who underwent isolated coronary (CS) or valvular (VS) surgery. We then analyzed intrahospital mortality of patients with a low EuroSCORE. The validation group consisted of patients who underwent surgery in 2001 and obtained a low EuroSCORE. RESULTS During 1999-2000 we identified 116 patients (16.2% of all patients treated with isolated CS or CV) with a low EuroSCORE (50 8.6 years; 65% male). Fifty-seven of these patients underwent isolated CS, and 59 of them isolated VS. Intrahospital mortality was zero. In 2001 we identified 59 (16.1%) such patients (49 8.7 years; 68% male), of whom 35 underwent isolated CS and 24 underwent isolated VS. Intrahospital mortality during this period was again zero. CONCLUSIONS A low EuroSCORE identifies a population of patients with minimum risk of mortality after isolated coronary or valve surgery. The score may be useful as a sentinel indicator in analyses of the complex issue of quality of cardiac surgery.
and Social

: This article presents an experience lived within the context of the COVID-19 pandemic, with adolescents deprived of liberty, in the socio-educational school context within the confinement setting of the Socio-Educational Assistance Center (CASE), Mossoró – RN. The experience revolves around teaching Human and Social Sciences, focusing on an occasion during Black Consciousness Month in the year 2020. Furthermore, it emphasizes the understanding of the importance of this field within the educational, scientific
A Case Study upon Non-functional Requirements of Online Banking System

The proper working of online banking is essential for development and advancement over the world and influencing organizations, society and individuals. Online banking, a vital activity within the financial markets is experiencing real change fuelled by advances in information systems techniques. Non functional requirements (NFRs) are important software requirements that have been evaluated and specified right from the beginning of software development cycle while specifying the functional software requirements (FRs). Nfrs could be thought of as additional requirements that must be fulfilled by the functional requirements. The dissatisfaction of Nfrs is one of the indispensable purposes behind the failure of software projects. Nonfunctional requirements for instance accuracy, usability, performance and security are often crucial to online banking system. Accordingly the nonfunctional requirements or Nfrs should be given attention as early as possible in a software lifecycle and must be shown in the software design before conferring to the detailed design. The inspiration driving this paper is to examine how the assessment of Nfrs of online banking system serves to systematically make choice among different alternatives.