Miracle-dz/UniFAR-FTUs huggingface dataset:
Removing reflection from images based on BP neural network of motion field

This paper introduces a method for removing reflection from images when imaging a scene behind glass surface. Rather than capturing a single image, we take advantage of an image sequence while moving the camera horizontal. By computing sparse motion fields between the reference image and all the other adjacent images, our method avoids to capture image sequence with rigid interval. We exploit the BP neural network algorithm to generate the dense motion field. It can quickly and accurately reconstruct the separated two images. Unlike previous approaches that exploit low-resolution image, we use the edge of images with high resolution to speed our compute. We demonstrate the method with some experiments. The result shows that our method works well on removing reflection. The method proposed makes the processing more efficient, and can be extended to the general.
Multi-target siRNA: Therapeutic Strategy for Hepatocellular Carcinoma

Multiple targets RNAi strategy is a preferred way to treat multigenic diseases, especially cancers. In the study, multi-target siRNAs were designed to inhibit NET-1, EMS1 and VEGF genes in hepatocellular carcinoma (HCC) cells. And multi-target siRNAs showed better silencing effects on NET-1, EMS1 and VEGF, compared with single target siRNA. Moreover, multi-target siRNA showed greater suppression effects on proliferation, migration, invasion, angiogenesis and induced apoptosis in HCC cells. The results suggested that multi-target siRNA might be a preferred strategy for cancer therapy and NET-1, EMS1 and VEGF could be effective targets for HCC treatments.
Total variation regularized iterative back-projection method for single frame image super resolution

Iterative back-projection (IBP) technique is commonly used to minimize the super resolution (SR) reconstruction error and acquire a high spatial resolution image with appealing visual effect. However, the IBP based SR method suffers from the chessboard and ringing effect around edges. In this paper, we employ total variation (TV) as a part of penalty function to minimize the reconstruction error, which helps to avoid across-edge smoothing and suppress the above-mentioned artifacts simultaneously. The experimental results validate that the proposed algorithm can promote the SR reconstruction precision considerably.
On the Performance of Transport Protocols Over ATM Networks

The performance of file transfer applications running over an ATM infrastructure investigated, taking into account both the impact of the ATM and AAL layer protocols and the features of the adopted transport protocol. Two transport protocols in particular are considered: TCP and XTP. The two transport protocols have quite different characteristics: while TCP is a window-based protocol, XTP is rate-based; while TCP contains algorithms for congestion avoidance, XTP includes no such feature. The performance investigation was performed by simulation, using CLASS, a simulation tool for the study of ATM networks at the cell and burst levels.
Endoscopic Versus Open Resection for Small Gastric Gastrointestinal Stromal Tumors

AbstractEndoscopic resection has been performed to treat small gastric neoplasms. However, this technique for small gastric gastrointestinal stromal tumors (GISTs) remains controversial. This study aims to compare the safety and surgical outcomes of endoscopic versus open resection of small gastric GISTs.The medical records of 54 consecutive gastric GISTs patients with tumor size of ⩽2 cm, who were surgically treated with endoscopic resection (endoscopic group) or open surgery (laparotomy group) in a single institution from March 2010 to June 2014, were retrospectively analyzed. The clinical and tumor characteristics, surgical safety, and tumor-related outcomes were evaluated.Of 54 patients, 32 and 22 patients underwent endoscopic resection and laparotomy, respectively. Patients who underwent endoscopic resection yielded a significantly shorter hospital stay compared with patients who underwent laparotomy (P < 0.001). Compared with patients in the endoscopic group, patients in the laparotomy group had more intraoperative blood loss (P < 0.001), had longer nasogastric tube retention (P < 0.001), and required longer operative time (P < 0.001). More laparotomy patients required postoperative analgesic drugs than those in the endoscopic group (n = 9 vs 4; P = 0.016). Gastric perforation occurred in 1 case during operation in the endoscopic group. Patients who underwent these 2 procedures did not differ with respect to tumor size (P = 0.168), perioperative transfusion (P = 1.000), reoperation (P = 1.000), early satiety (P = 0.560), and postoperative bleeding (P = 1.000). With a median follow-up time of 34.5 months, 1 high-risk patient in each group experienced tumor recurrence/metastasis postoperatively.The endoscopic procedure allows safe resection with good surgical outcomes for small gastric GISTs compared with laparotomy. Moreover, larger randomized controlled trials are warranted to confirm endoscopic application for small gastric GISTs.
Metacognition and its role in the development of team competencies.

When graduates now enter the professional workplace, their ability to work as effective team members will contribute much to their immediate levels of productivity. Various types of group work are already being incorporated into higher education pedagogies with the stated intention of preparing students for modern workplace environments. Yet preparing for such an important vocational skill is not always so enthusiastically embraced by students. Many students openly state that they do not like working in groups because they believe that they can achieve better outcomes on their own. We investigate in this paper the metacognitive processes that students might engage in to help explain why group activities in an academic environment may be so unpopular.
Un análisis bibliométrico de la producción académica española en la categoría de Trabajo Social del Journal Citation Report

The objective of this work is to identify and analyze Spanish scientific production in the area of social work according to the bibliographic databases of international reference owned by Thomson Reuters, Web of Science and Journal Citation Reports. To do this, we will recover from the Web of Science all documents published by Spanish in international journals indexed in the Social Work category indexed by Journal Citation Reports in its edition of Social Sciences. On the one hand, we analyze the most relevant authors and universities, and on the other hand, we analyze the content of the documents by means of the mapping science tool SciMAT, in order to identify thematic areas that have been investigated.
Workplace Deviant Behavior and Its Demographic Relationship Among Taiwan's Flight Attendants

ABSTRACT Employees' workplace deviant behaviors prevail in organizations, yet relevant studies are insufficient. The purpose of the study is to identify the pattern and extent of workplace deviant behavior among flight attendants and examine the relationship between demographic characteristics and this behavior. Survey data collected from 303 flight attendants in Taiwan shows that workplace deviant behavior can be categorized into three dimensions: organizational deviance toward organization, organizational deviance toward work and interpersonal deviance. In particular, gender and airlines make a significant difference in organizational deviance toward organizations. Implications of these findings and suggestions for future research are also discussed.
State Observer Design and Application for Lipschitz Nonlinear Systems

This paper discusses the state observer design and application for a class of nonlinear systems. The nonlinearity item of this class of systems is Lipschitz globally. A sufficient condition on the stability matrix that ensures asymptotic stability of the observer is presented, creatively using Lyapunov method and solution of the Lyapunov equation. It is shown that the eigenvalues have to be located sufficiently far out into the left half-plane, and the eigenvectors also have to be sufficiently well-conditioned for ensuring asymptotic stability. For the purpose of observer design, a systematic computational algorithm gradient-based is presented to obtain the observer gain matrix so as to achieve the objective of asymptotic stability. The developed theory is used successfully in the design of an observer for a flexible joint robotic system, which verifies the validity of the theory.
A Continuation of the Paradigm Wars? Prevalence Rates of Methodological Approaches Across the Social/Behavioral Sciences

A new line of research has emerged that examines the prevalence rates of mixed methods within disciplines in the social/behavioral sciences. Research presented in this article is unique in that it examines prevalence rates across multiple disciplines using an established cross-disciplinary classification scheme. Results indicate that there are significant differences in the methods employed (quantitative, mixed, qualitative) in pure (psychology, sociology) as opposed to applied (education, nursing) disciplines. The prevalence rate for mixed methods research is higher in applied (16%) compared with pure disciplines (6%). Quantitative methods and the underlying postpositivistic paradigm are prevalent in articles from ‘‘elite’’ journals from pure disciplines, especially psychology. Methodological issues are discussed, including the importance of the sampling procedures employed in prevalence rates studies.
Learning Chinese abroad: the role of language attitudes and motivation in the adaptation of international students in China

Abstract The objectives of this study are to investigate the interrelationships of a number of affective variables related to studying Chinese as a second language (L2); to examine the relationships between affective variables in second language acquisition (SLA) and the indices of adaptation; and thirdly, to assess the changes over time in the attitudes and motivation of international students and their sociocultural and academic adaptation during their nine-month Chinese studies at a tertiary level. The results show that integrative motivation plays a very important positive role while language anxiety plays a very important negative role in both sociocultural adaptation and academic adaptation. Moreover, academic adaptation, long being ignored in the literature of crosscultural psychology and SLA, is found to be closely and positively related to sociocultural adaptation in this study. The conclusions are drawn accordingly in respect of longitudinal research design and the importance in relating language-related variables to the adaptation of L2 learners. Suggestions to host institutions and international students are also made in the paper.
What might Evolutionary Algorithms ( EA ) and Multi-objective Optimisation ( MOO ) Contribute to Phylogenetics and the Total Evidence Debate

Evolutionary relationships among species are usually (i) illustrated by means of a phylogeny and (ii) inferred by optimising some measure of fitness, such as the total evolutionary distance between species (given the tree), the parsimony (number of different assumptions required to fit the data to the tree), the likelihood of the tree (given an evolutionary model and a data set) or the posterior probability of the tree (given an evolutionary model, a data set, and the distribution of prior probabilities). A large variety of different types of data can and have been used in reconstructing evolutionary relationships including nucleotide sequences, anatomical features, metabolic processes, behaviour or even the words of languages. Difficulties arise when different sources of evidence provide conflicting information about the inferred ‘best’ tree(s). The Total Evidence Debate focusses on how to assess, combine, modify or reject different types of data. We begin with a review of evolutionary algorithms (EA) used for phylogenetic inference. Then we discuss whether the population-based searches that are an intrinsic attribute of EA and multi-objective optimisation (MOO) can provide a powerful new approach to this area.
The prevalence of alcoholism in a community general hospital.

The Michigan Alcoholism Screening Test (MAST), medical histories, and diagnoses were employed to determine the percentage of alcoholics in a general hospital. Of 200 patients, 18 percent of the men and 5.5 percent of the women were diagnosed as alcoholic; 3.5 percent of the rest were questionable. The author believes that a simple screening test like the MAST provides a more sensitive measure of alcoholism in a general hospital population than do medical work-ups and physicians' diagnoses.
Identification of different stages of Diabetic Retinopathy using artificial neural network

In this study, we recognize different stages of Diabetic Retinopathy (NPDR - Non Proliferative Diabetic Retinopathy and PDR - Proliferative Diabetic Retinopathy) and differentiate it from a normal eye with the study of fundus images. Features are extracted from these images and fed into the MLP (Multilayer Perceptron) for classification and the results have shown an accuracy of 94.11%.
Anti-Dumping Early-Warning System Based on Neuro-FDT

In this paper, a new anti-dumping early-warning system for the export of China's textile products is presented. The early-warning system based on neuro-fuzzy decision tree modeling method is different from traditional modeling methods. Fuzzy decision trees are powerful, top-down, hierarchical search methodology to extract human interpretable classification rules. However, they are poor in classification accuracy. Neural networks-fuzzy decision tree (a fuzzy decision tree structure with neural like parameter adaptation strategy) improves FDT's classification accuracy and extracts more accuracy human interpretable classification rules. The other new attempt is the setting of early-warning intervals. The result of the positive research indicated that this system is very valid for anti-dumping prediction and it will have a good application prospect in this area
Envisioning Seoul as a World City: The Cultural Politics of the Hong-dae Cultural District

Abstract This article explores how the vision of a world city influences local cultural politics, by looking at an attempt to construct a cultural quarter in Seoul, South Korea. The Hong-dae area of Seoul has a reputation as a vibrant place of urban amenities, emerging cultural forms, and neighbourhoods of cultural workers and artists. In 2003, the city government announced a policy to create a Cultural District in the area. Subsequently, local conflict over defining Hong-dae culture emerged, and the plan was later postponed. This study elucidates how the proposed policy, framed by a vision of Seoul as a world city, led local actors to territorialise, fossilise, ethnicise and capitalise Hong-dae culture. It argues that competition for world city status may politicise and territorialise urban cultural scenes, rather than enhancing the urban amenities of diversity, openness and tolerance.
Student Evaluations and Moral Hazard

Most universities solicit feedback from students at the end of a course in order to assess student perceptions of the course. This feedback is used for various objectives, including for evaluating teaching by academic administrators. One would therefore expect faculty to rationally take this into account while formulating their teaching strategy. In certain cases, such strategic considerations can give rise to moral hazard. I have modelled the situation using the well-known Prisoner’s Dilemma game and found that in equilibrium, the teaching style will be examination-centric, while considerations of societal good would demand that the teaching style be knowledge-centric. I also discuss the policy implications for this finding.
Synthesis in Trial Procedures? The Experience of International Criminal Tribunals

Critical to analysing the recent synthesis of criminal trial procedures is an understanding of the internationalisation of criminal law and procedure.1 As well as the creation of international tribunals2 to investigate and try crimes of world significance, there is emerging an international jurisprudence on criminal law (and procedural hybrids to support and develop this) which require integrated analysis.3
The Emerging Frontiers and Applications of High-Resolution 3D Printing

Over the past few decades, there has been an increasing interest in the fabrication of complex high-resolution three-dimensional (3D) architectures at micro/nanoscale. These architectures can be obtained through conventional microfabrication methods including photolithography, electron-beam lithography, femtosecond laser lithography, nanoimprint lithography, etc. However, the applications of these fabrication methods are limited by their high costs, the generation of various chemical wastes, and their insufficient ability to create high-aspect-ratio 3D structures. High-resolution 3D printing has recently emerged as a promising solution, as it is capable of building multifunctional 3D constructs with optimal properties. Here we present a review on the principles and the recent advances of high-resolution 3D printing techniques, including two-photon polymerization (TPP), projection microstereoLithography (PµSL), direct ink writing (DIW) and electrohydrodynamic printing (EHDP). We also highlight their typical applications in various fields such as metamaterials, energy storage, flexible electronics, microscale tissue engineering scaffolds and organ-on-chips. Finally, we discuss the challenge and perspective of these high-resolution 3D printing techniques in technical and application aspects. We believe that high-resolution 3D printing will eventually revolutionize the microfabrication processes of 3D architectures with high product quality and diversified materials. It will also find applications in a wide scope.
Involvement of gut microbiota in the development of low-grade inflammation and type 2 diabetes associated with obesity

Obesity is associated with metabolic alterations related to glucose homeostasis and cardiovascular risk factors. These metabolic alterations are associated with low-grade inflammation that contributes to the onset of these diseases. We and others have provided evidence that gut microbiota participates in whole-body metabolism by affecting energy balance, glucose metabolism, and low-grade inflammation associated with obesity and related metabolic disorders. Recently, we defined gut microbiota-derived lipopolysaccharide (LPS) (and metabolic endotoxemia) as a factor involved in the onset and progression of inflammation and metabolic diseases. In this review, we discuss mechanisms involved in the development of metabolic endotoxemia such as the gut permeability. We also discuss our latest discoveries demonstrating a link between the gut microbiota, endocannabinoid system tone, leptin resistance, gut peptides (glucagon-like peptide-1 and -2), and metabolic features. Finally, we will introduce the role of the gut microbiota in specific dietary treatments (prebiotics and probiotics) and surgical interventions (gastric bypass).
Television news consumption and public attitudes towards immigration: a multi-level approach / Consumo de información televisiva y actitudes publicas hacia la inmigración: un enfoque multinivel

Abstract This paper analyses the association between TV news consumption and public attitudes towards immigration. A multi-level model is used to study the complex relationship between TV news consumption, how the media treat immigration and public attitudes towards minority groups based on a survey of university students. Multi-level analysis results show the impact of aggregate consumption of TV news on the perception of the current immigration phenomenon and the cognitive/affective components of attitude. It also demonstrates the usefulness of this analytical approach for understanding the processes that describe the relationship between the media and attitudes towards immigration.
Efficient Mining of Temporally Annotated Sequences

Sequential patterns mining received much attention in recent years, thanks to its various potential application domains. A large part of them represent data as collections of time-stamped itemsets, e.g., customers’ purchases, logged web accesses, etc. Most approaches to sequence mining focus on sequentiality of data, using time-stamps only to order items and, in some cases, to constrain the temporal gap between items. In this paper, we propose an efficient algorithm for computing (temporally-)annotated sequential patterns, i.e., sequential patterns where each transition is annotated with a typical transition time derived from the source data. The algorithm adopts a prefix-projection approach to mine candidate sequences, and it is tightly integrated with an annotation mining process that associates sequences with temporal annotations. The pruning capabilities of the two steps sum together, yielding significant improvements in performances, as demonstrated by a set of experiments performed on synthetic datasets.
TransType: text prediction for translators

Text prediction is a novel form of interactive machine translation that is well suited to skilled translators. It has the potential to assist in several ways: speeding typing, suggesting possible translations, and averting translator errors. However, recent evaluations of a prototype prediction system showed that predictions can also distract and hinder translators if made indiscriminately. We demonstrate an experimental prototype intended to address this problem by selecting the prediction that has maximal expected benefit to the user in any given context. This leads it to make longer predictions where it is more certain and shorter ones---or none at all---in contexts where it is less certain.
OntoCat: Automatically categorizing knowledge in API Documentation

Most application development happens in the context of complex APIs; reference documentation for APIs has grown tremendously in variety, complexity, and volume, and can be difficult to navigate. There is a growing need to develop well-organized ways to access the knowledge latent in the documentation; several research efforts deal with the organization (ontology) of API-related knowledge. Extensive knowledge-engineering work, supported by a rigorous qualitative analysis, by Maalej & Robillard [3] has identified a useful taxonomy of API knowledge. Based on this taxonomy, we introduce a domain independent technique to extract the knowledge types from the given API reference documentation. Our system, OntoCat, introduces total nine different features and their semantic and statistical combinations to classify the different knowledge types. We tested OntoCat on python API reference documentation. Our experimental results show the effectiveness of the system and opens the scope of probably related research areas (i.e., user behavior, documentation quality, etc.).
Le rôle des politiques et des actions publiques dans l’émergence et l’évolution du projet de cluster maritime du Québec

Cet article est consacre a l’etude du Projet de cluster maritime du Quebec. Ce projet, qui trouve ses origines dans des politiques publiques formulees a partir de 1998, represente une tentative deliberee de faire emerger au sein de l’industrie maritime des regions du Quebec maritime un cluster dynamique. Cet article a un double objectif. Tout d’abord, il vise a decrire et a analyser les politiques et les actions publiques au coeur de ce projet de cluster, ensuite il discute des retombees economiques liees a ce projet au niveau regional. A partir de cette etude de cas, nous cherchons a mieux comprendre les pieges qui doivent etre evites dans la formulation de politiques de cluster ainsi que la pertinence de l’approche des clusters pour favoriser le developpement economique des regions peripheriques.