Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Self-Worth in the Perception of Others

Contrary to the widely accepted theory that beauty is good, current research has suggested that attractive people may be at a disadvantage when rated by someone of the same sex. The goal of the current study was to test the hypothesis that the bases upon which individuals stake their self-worth might play a role in these effects. Forty-seven college-aged students participated in this study by filling out the contingencies of self-worth scale (Crocker, Luhtanen, Cooper, & Bouvrette, 2003) in order to assess the bases of their selfworth. Participants were then asked to look at a series of photographs and rate the likelihood that male and female subjects, of varying attractiveness, possessed certain positive or negative traits. As predicted, females whose self-worth depended largely on their physical appearance tended to rate attractive female targets less positively, whereas, male subjects, regardless of the bases of their self-worth, did not display this bias against attractive same-sex targets.
Glutamine and Liver Dysfunction Elicited by Intestinal Ischemia- Reperfusion Injury

Intestinal ischemia-reperfusion (IIR) injury affects other organs, like the liver. Glutamine may offer liver pro- tection, following IIR injury. Four groups of rats were studied. In Group A, the animals were subjected to 90 minutes of IIR. In Group B Alanyl-Glutamine dipeptide was administered prior to IIR. Group C, was the sham, and in Group D, the animals were given Alanyl-Glutamine dipeptide, only. Malondialdehyde, myeloperoxidase, and total glutathione were measured in liver tissue, and transaminases in the serum. Liver tissue samples were examined under electron microscopy. Malondialdehyde values in Groups A and B were significantly higher and total glutathione levels were significantly lower, compared to Groups C and D. SGPT values of Group A were significantly higher than Groups C and D. Electron microscopy examination of Group A animals showed endothelial cell degeneration. In Group B, hepatic cell changes were unremarkable. The administration of Alanyl-Glutamine dipeptide, prior to IIR, protected hepatocytes from oxidative in- jury.
Unemployment duration among young graduate job seekers

Duration data have been used in research work in many applied fields of sciences, such as medicine, biology, engineering, sociology, demography, economics, finance and management. However, the use of this type of data raises a number of problems associated with statistical modeling and estimation techniques. One such problem area is censoring which can be right, left or interval censoring. Another problem is truncation ([1]). These will affect the construction of the likelihood function.
Principles of Elastic Processes

Cloud computing's success has made on-demand computing with a pay-as-you-go pricing model popular. However, cloud computing's focus on resources and costs limits progress in realizing more flexible, adaptive processes. The authors introduce elastic processes, which are based on explicitly modeling resources, cost, and quality, and show how they improve on the state of the art.
Inflation Targeting and Exchange Rate Fluctuations in Australia

Several recent papers have explored the possibility that inflation-targeting central banks in small open economies pay too much attention to exchange rate fluctuations; changing short-term interest rates in response to fluctuations that have transient effects on inflation could be counterproductive. Accordingly, we investigate whether the Reserve Bank of Australia, while ultimately concerned with aggregate inflation and output, should set short-term interest rates on the basis of expected inflation in the non-tradeable sector or go even further and react directly to expected wage pressures in that sector’s labour market. Our results indicate that there are no clear gains to be had from responding only to measures of inflation which abstract from temporary exchange rate fluctuations. The variability of inflation and output would be at least as great as under the current framework, while the shocks that have typically hit the Australian economy over the past couple of decades are such that interest rates would be no less variable than under the current inflation-targeting framework. We attribute these findings to the forward-looking nature of the current inflation-targeting framework, whereby exchange rate shocks are ignored in the setting of policy if they are expected to have only a temporary impact on inflation.
Computational modeling of chemo-bio-mechanical coupling: a systems-biology approach toward wound healing

Wound healing is a synchronized cascade of chemical, biological, and mechanical phenomena, which act in concert to restore the damaged tissue. An imbalance between these events can induce painful scarring. Despite intense efforts to decipher the mechanisms of wound healing, the role of mechanics remains poorly understood. Here, we establish a computational systems biology model to identify the chemical, biological, and mechanical mechanisms of scar formation. First, we introduce the generic problem of coupled chemo-bio-mechanics. Then, we introduce the model problem of wound healing in terms of a particular chemical signal, inflammation, a particular biological cell type, fibroblasts, and a particular mechanical model, isotropic hyperelasticity. We explore the cross-talk between chemical, biological, and mechanical signals and show that all three fields have a significant impact on scar formation. Our model is the first step toward rigorous multiscale, multifield modeling in wound healing. Our formulation has the potential to improve effective wound management and optimize treatment on an individualized patient-specific basis.
Regulatable In Vivo Biotinylation Expression System in Mouse Embryonic Stem Cells

Embryonic stem (ES) cells have several unique attributes, the two most important of which are they can differentiate into all cell types in the body and they can proliferate indefinitely. To study the regulation of these phenomena, we developed a regulatable in vivo biotinylation expression system in mouse ES cells. The E. coli biotin ligase gene BirA, whose protein product can biotinylate a 15-aa peptide sequence, called the AviTag, was cloned downstream of an IRES. The primary vector containing the doxycycline controlled transactivator gene tTA and IRES-BirA was knocked into the ROSA26 locus by homologous recombination. The secondary vector containing the AviTag tagged hKlf4 gene was exchanged into the ROSA26 locus using Cre recombinase. Western blot analysis showed that the doxycycline induced BirA protein can biotinylate the doxycycline induced AviTag tagged hKlf4 protein. The induction of hKlf4 repressed cell growth in the presence or absence of LIF. Chromatin immunoprecipitation assays using streptavidin beads showed that the AviTag tagged hKlf4 protein could enrich the Nanog enhancer. Our results suggested that the regulatable biotinylation system is promising for the gene function studies in mouse ES cells.
NICT/ATR Asian Spoken Language Translation System for Multi-Party Travel Conversation

This paper presents the recent advances in the Asian spoken language translation system developed by the National Institute of Information and Communications Technology/Advanced Telecommunications Research Institute International (NICT/ATR). The system was designed to translate the common spoken utterances of travel conversation from a certain source language into multi-target languages in order to facilitate a multi-party travel conversation between people speaking different Asian languages. All the system engines, including those of speech recognition, machine translation, and speech synthesis, were developed using the corpusbased approach, which statistically studied from the collection of speech and language data. Currently, all the speech-to-speech translation engines have been successfully implemented into web-servers that can be accessed by client applications worldwide. Thus, the system realizes the objective of real-time, location-free speech-to-speech translation.
A study of similarity between genetically identical body vein patterns

Vein patterns have been used in commercial biometric systems for many years and are recently considered for criminal authentication. Understanding the similarity between genetically identical vein patterns is important, especially when using them in legal cases involving identical twins. Vein patterns sharing the same Deoxyribonucleic acid (DNA) sequence are generally regarded as vein patterns with maximum similarity. If they are completely distinguishable, it implies that the uniqueness of vein patterns is high. Though the genetic dependence of other biometric traits, including fingerprints, faces, palmprints, and irises, have been studied, genetically identical vein patterns have not been studied systematically. With the help of an automatic vein pattern matching algorithm, this paper analyzes and measures the similarity between genetically identical vein patterns. 234 genetically identical forearm pairs and 204 genetically identical thigh pairs were collected for this study. Experimental results indicate that genetically identical vein patterns have extra similarity, but they are distinguishable.
DG investment planning analysis with renewable integration and considering emission costs

The prospect of distributed generation investment planning (DGIP) is especially relevant in insular networks because of a number of reasons such as energy security, emissions and renewable integration targets. In this context, this paper presents a DGIP model that considers various DG types, including renewables. The planning process involves an economic analysis considering the costs of emissions, reliability and other relevant cost components. In addition, a comprehensive sensitivity analysis is carried out in order to investigate the effect of variability and uncertainty of model parameters on DG investment decisions. The ultimate goal is to identify the parameters that significantly influence the decision-making process and to quantify their degree of influence. The results show that uncertainty has a meaningful impact on DG investment decisions. In fact, the degree of influence varies from one parameter to another. However, in general, ignoring or inadequately considering uncertainty and variability in model parameters has a quantifiable cost. The analyses made in this paper can be very useful to identify the most relevant model parameters that need special attention in planning practices.
Implementation of the quality management system improves postoperative pain treatment: a prospective pre-/post-interventional questionnaire study

Background An organizational approach is proposed as an immediate solution for improving postoperative pain (POP) management. The aim was to evaluate the clinical effectiveness of a quality management system (QMS), based on procedure-specific, multimodal analgesic protocols, modified to meet the individual patients’ requirements. Methods Patients from the orthopaedic, gynaecological, visceral, and trauma surgery departments of the university hospital were involved in two prospective surveys. Survey 1 was performed at baseline and survey 2 was performed after the implementation of QMS within an interval of 1 year. The patients were asked to report pain intensity on the visual rating scale, incidence of analgesia-related side-effects, and incidence of pain interference with the items of life quality and their satisfaction with the treatment of POP. Results Patients from Survey 2 (n=251) reported 25–30% less pain than those from Survey 1 (n=269) (P<0.0001). Nausea was reported by 40% of the patients from Survey 1 vs 17% from Survey 2, vomiting by 25 vs 11% and fatigue by 76% in Survey 1 vs 30% in Survey 2 (P<0.0001). Life quality and patients’ satisfaction improved in Survey 2 vs Survey 1 (P<0.001). Conclusions The implementation of QMS allowed the reduction in POP intensity with a simultaneous decrease in analgesia-related side-effects. This has led to an increased quality of life and patient satisfaction.
The role of S100A14 in epithelial ovarian tumors

S100A14 is an EF-hand calcium-binding protein that has been reported to be involved in the progression of many malignancies. However, its role in ovarian cancer has not yet been clarified. In this study, we investigated the significance of S100A14 expression in epithelial ovarian cancers (EOCs) as well as it's mechanism of action. On both RNA and protein levels, S100A14 was overexpressed in transformed cells. Immunohistochemical staining demonstrated that S100A14 expression was associated with advanced stage (P < 0.001) and poor tumor grade (P < 0.001). Moreover, S100A14 overexpression was an independent prognostic factor for overall survival (HR = 4.53, P = 0.029). We also investigated S100A14's functional role by employing lentiviral-mediated overexpression and knockdown in EOC cells. S100A14 overexpression promoted cell proliferation, tumorigenesis, migration, and invasion, whereas S100A14 knockdown inhibited these properties. TOV112D cells that overexpressed S100A14 also exhibited greater tumor growth potential in xenografted mice. S100A14 promoted such a malignant phenotype in EOC cells through the PI3K/Akt pathway. Taken together, our data indicate that S100A14 has a crucial role in EOC progression, and its overexpression is associated with poor prognosis. Further study of S100A14's molecular mechanisms may lead to the development of a novel therapeutic target for ovarian cancer.
Unit-Testing Aspectual Behavior ∗ [ Position Paper ]

In the Java Aspect Markup Language (JAML), aspects are represented using two kinds of modules: a) regular java classes, encapsulating aspectual behavior; and b) XML binders, defining aspectual compositions. Besides leveraging the abundance of software engineering tools available for Java and XML, this approach for aspect-oriented programming also provides opportunities for testing aspects as independent units. In this position paper, JamlUnit, an extension of JUnit, is proposed as a framework for performing unit testing of aspects written in JAML. More specifically, this paper focus on testing aspectual behavior, i.e. behavior implemented in pieces of advice. JamlUnit uses mock objects that emulate execution context (join point) information. JamlUnit shows that performing unit testing on aspectual behavior is possible and relatively straightforward, as long as the AOP language observes a couple of simple requirements.
Emotional Intelligence and Conflict Management Styles

The research was carried out to study emotional intelligence and conflict management styles using employees in the Human Resources Division at XYZ University in Malaysia. Specifically, it aims to examine the correlation of supervisors' emotional intelligence assessed by themselves and by their subordinates. Second, this study explored if there is a relationship between emotional intelligence possessed by the supervisors and styles of handling conflict as reported by their subordinates. Three sets of surveys were used to measure the results: Emotional Quotient Index CEQI) (Self-rating), Emotional Quotient Index (EQI) (Observer) and Rahim Organisational Conflict Inventory-II (ROCI-II) Form A surveys. Results from these surveys showed that supervisors had the highest ratings on empathy but the lowest on selfregulation. Subordinates used more integrating and compromising styles when handling conflicts with their supervisors, while dominating styles were the least used. Results from multiple regression analysis showed that there were significant relationships between emotional intelligence and conflict management styles: integrating and compromising for the employees in the HR division. Interestingly, there were mixed findings between emotional intelligence ratings by the supervisors themselves and their subordinates; only one out of six supervisors gave themselves the same emotional intelligence ratings as subordinates provided.
Diabetes and the risk of pancreatic cancer.

AIMS Diabetes occurs more frequently in patients with pancreatic cancer than in the general population, and it has repeatedly been claimed that it is a risk factor for this tumor. However in most of the studies on this subject the duration of diabetes before the diagnosis of pancreatic cancer was not ascertained. In an attempt to clarify the cause of the association between these two pathologic conditions and to determine whether diabetes is a risk factor for pancreatic cancer we recently studied this association in a large number of patients with pancreatic cancer. METHODS A total of 720 patients with newly diagnosed pancreatic cancer (415 men and 305 women; mean age 62.6 years, range 22 to 79 years) and 720 controls matched for sex, age, social class, and geographic region, were enrolled in the study. All subjects were interviewed personally and in detail about their clinical history. The diagnosis of diabetes was based on criteria recommended by the American Diabetes Association. RESULTS One hundred sixty-four patients with pancreatic cancer (22.8%) and 60 controls (8.3%) had diabetes. In the majority of the patients with pancreatic cancer (56.1%), diabetes was diagnosed either concomitantly with the cancer (in 40.2%), or within two years before the diagnosis of cancer (in 15.9%). The association between the two conditions was significant (odds ratio, 3.04; 95% confidence interval, 2.21 to 4.17). However, when only patients with diabetes of three or more years' duration were considered, the association was no longer significant (odds ratio, 1.43; 95% confidence interval, 0.98 to 2.07). All the patients with pancreatic cancer whose diabetes had been diagnosed before the cancer had non-insulin-dependent diabetes; all but one of the control patients with diabetes had the non-insulin-dependent form of the disease. CONCLUSIONS Diabetes in patients with pancreatic cancer is frequently of recent onset and is presumably caused by the tumor. Diabetes is not a risk factor for pancreatic cancer.
A review to the usage of concepts of software architecture in agile methods

Development process divided into two categories: Traditional models and agile models, traditional models have heavy documentation and delay in time project but agile models being lightweight processes because have light weight documentation and heavy intercommunications therefore reduce the delays of the traditional models. They emphasize customer satisfaction, fast response to changes, and release in less time. In the last decades, to achieve high quality of system, use the architecture as an important matter in the development process. Therefore using software architecture skills in agile methods could improve them toward producing a software system that has an appropriate structure because focuses on achieving quality attributes for a software system. This paper is a review on accomplished proceedings that combine software architecture and agile methods to improve Software developments.
Roadmapping discussion summary:social media and linked data for emergency response

This paper provides a summary of the Social Media and Linked Data for Emergency Response (SMILE) workshop, co-located with the Extended Semantic Web Conference, at Montpellier, France, 2013. Following paper presentations and question answering sessions, an extensive discussion and roadmapping session was organised which involved the workshop chairs and attendees. Three main topics guided the discussion - challenges, opportunities and showstoppers. In this paper, we present our roadmap towards effectively exploiting social media and semantic web techniques for emergency response and crisis management.
Risk estimation for matrix recovery with spectral regularization

In this paper, we develop an approach to recursively estimate the quadratic risk for matrix recovery problems regularized with spectral functions. Toward this end, in the spirit of the SURE theory, a key step is to compute the (weak) derivative and divergence of a solution with respect to the observations. As such a solution is not available in closed form, but rather through a proximal splitting algorithm, we propose to recursively compute the divergence from the sequence of iterates. A second challenge that we unlocked is the computation of the (weak) derivative of the proximity operator of a spectral function. To show the potential applicability of our approach, we exemplify it on a matrix completion problem to objectively and automatically select the regularization parameter.
Multi-level Annotations of Nonverbal Behaviors in French Spontaneous Conversation

During spontaneous conversations, multiple modalities such as gesture, posture and gaze are combined in sophisticated ways for different functions such as spatial references. In the French research community, there is a lack of spontaneous multimodal corpora for the French language. This paper describes the multi-level scheme that we have defined for the annotation of gesture, posture and gaze. We explain how we applied it for the annotation of a corpus of spontaneous French conversations. Two types of analyses were made on the resulting annotations. Firstly, intercoder agreement was computed on the annotations of gesture space. Secondly, we clustered chunks of postures into categories. Such research will enable the joint study of multiple nonverbal modalities such as the relations between gesture semantics and posture.
Understanding Educational Outcomes of Students from Low-Income Families

Issues related to schooling attainment of children from low-income families arise frequently in current education policy debates. There has been a specific interest in understanding why a very high percentage of children from low-income families do not graduate from college and why the college graduation rates of children from low-income families are substantially lower than those of children from other families. Using unique new data obtained directly from a high-quality liberal arts college that maintains a full tuition subsidy program (and large room and board subsidies) for all students, this paper provides direct evidence that reasons unrelated to the direct costs of college are very important in explaining these realities.
Trust Aware Directed Diffusion Scheme for Wireless Sensor Networks

Recently Wireless Sensor Networks are used in applications that are "close to human" (healthcare, context sensing etc.) as well as "close to the environment" (weather sensing, seismic activity sensing, disaster warning etc.). Many of these applications are prone to security threats. Due to lightweight processors, limited battery etc. sophisticated encryption algorithms could not be applied in such networks. Moreover, a device may change its nature in runtime. In this paper a trust management scheme is proposed that works with directed diffusion routing protocol and is able to mitigate threats like selective forwarding, bad mouthing and good mouthing. The protocol is simulated in NS-2. The results show the effectiveness of the scheme in moderately hostile network.
Extracting Co-Occurrence Relations from ZDDs

A zero-suppressed binary decision diagram (ZDD) is a graph representation suitable for handling sparse set families. Given a ZDD representing a set family, we present an efficient algorithm to discover a hidden structure, called a co-occurrence relation, on the ground set. This computation can be done in time complexity that is related not to the number of sets, but to some feature values of the ZDD. We furthermore introduce a conditional co-occurrence relation and present an extraction algorithm, which enables us to discover further structural information.