Miracle-dz/UniFAR-FTUs huggingface dataset:
Student Evaluation of Lecture and Teaching Effectiveness in Higher Education.

As good teachers may have great influence on positive outcomes of students, educational systems should provide feedback about their professional performances in any way. Otherwise, not only do teachers fail but the system fails. It is claimed that students have some reasons while they are evaluating the lecture and teaching. This study was conducted to discover what students’ reasons are while evaluating the lecture and teaching. Results reveal that students from colleges of education at developing universities evaluated lecture and teaching more favorably compared to students at developing and newly-established universities. Another result shows that students with higher Grade Point Averages (GPAs) tend to evaluate lecture and teachers more favorably. Finally, significance was discovered between students’ views in terms of newly-established universities and developing universities, classroom size, their grades and students’ GPAs. Key words: College of education, teacher, student, course evaluation, teacher evaluation, higher education.
Alternative splicing and genetic diversity: silencers are more frequently modified by SNVs associated with alternative exon/intron borders

With the availability of a large amount of genomic data it is expected that the influence of single nucleotide variations (SNVs) in many biological phenomena will be elucidated. Here, we approached the problem of how SNVs affect alternative splicing. First, we observed that SNVs and exonic splicing regulators (ESRs) independently show a biased distribution in alternative exons. More importantly, SNVs map more frequently in ESRs located in alternative exons than in ESRs located in constitutive exons. By looking at SNVs associated with alternative exon/intron borders (by their common presence in the same cDNA molecule), we observed that a specific type of ESR, the exonic splicing silencers (ESSs), are more frequently modified by SNVs. Our results establish a clear association between genetic diversity and alternative splicing involving ESSs.
Multilevel Analysis in Mass Communication Research

This article presents an epistemological view of levels of analysis. According to this view, four types of relationships need to be differentiated: macro-macro, macro-micro, micro-micro, and micro-macro. The two within-level relationships are linked by the two cross-level relationships that, in turn, are explicated by various theories of organizational, institutional, and social processes. Mass communication is thus conceived of as a process from production to consumption that occurs at both micro-individual and macro-social levels. The contributions of this multilevel view of mass communications to theoretical development in the field is illustrated by analyzing three prominent theories in our field: the knowledge gap, cultivation, and the spiral of silence. Finally, the article discusses the available research techniques and strategies for dealing with multilevel research questions.
The modeling tool of SaaS software

In the SaaS application, users can order corresponding software services from the service provider according to their application needs and adjust their services content in use based on the changes of the enterprise development, with strong elasticity and expansibility. However, despite of so advanced concept of SaaS, there are still some problems in the SaaS field constraining the wider use of SaaS. At present the composing model of SaaS, the development method and the problem solving are all taken into account in some of the theories and applications, but no one discusses the description of the SaaS model. As we all know, the model is also the key to the construction of SaaS software development platform. The traditional modeling method based on the workflow asks for understanding the operation processes of all aspects of business for modelling personnel and needs the support of professional knowledge on updating and maintenance of business processes. How to adopt a common way to describe it and make it User-friendly search is a serious problem to be solved. Therefore, we propose SaaS service model based on extended WSCL, and implement the modeling tool of SaaS service model. This paper aims to develop a modeling tool to allow the modelling personnel to complete the modeling process through understanding the business, and the system can automatically convert the state diagram corresponding to the process into WSCL documents. The SaaS service modeling tools can help developers easily model for the SaaS service, which makes the modelling process more formalized and visualized, and then make it easy to communicate with users.
Targeting Tregs in Malignant Brain Cancer: Overcoming IDO

One of the hallmark features of glioblastoma multiforme (GBM), the most common adult primary brain tumor with a very dismal prognosis, is the accumulation of CD4+CD25+Foxp3+ regulatory T cells (Tregs). Regulatory T cells (Tregs) segregate into two primary categories: thymus-derived natural Tregs (nTregs) that develop from the interaction between immature T cells and thymic epithelial stromal cells, and inducible Tregs (iTregs) that arise from the conversion of CD4+FoxP3− T cells into FoxP3 expressing cells. Normally, these Treg subsets complement one another’s actions by maintaining tolerance of self-antigens, thereby suppressing autoimmunity, while also enabling effective immune responses toward non-self-antigens, thus promoting infectious protection. However, Tregs have also been shown to be associated with the promotion of pathological outcomes, including cancer. In the setting of GBM, nTregs appear to be primary players that contribute to immunotherapeutic failure, ultimately leading to tumor progression. Several attempts have been made to therapeutically target these cells with variable levels of success. The blood brain barrier-crossing chemotherapeutics, temozolomide, and cyclophosphamide (CTX), vaccination against the Treg transcriptional regulator, FoxP3, as well as mAbs against Treg-associated cell surface molecules CD25, CTLA-4, and GITR are all different therapeutic approaches under investigation. Contributing to the poor success of past approaches is the expression of indoleamine 2,3-dioxygenase 1 (IDO), a tryptophan catabolizing enzyme overexpressed in GBM, and critically involved in regulating tumor-infiltrating Treg levels. Herein, we review the current literature on Tregs in brain cancer, providing a detailed phenotype, causative mechanisms involved in their pathogenesis, and strategies that have been used to target this population, therapeutically.
The Young Child's Interactions with Parents versus Siblings: A Behavioral Analysis.

BASKETT, LINDA MUSUN, and JOHNSON, STEPHEN M. The Young Child's Interactions with Parents versus Siblings: A Behavioral Analysis. CHILD DEVELOPMENT, 1982, 53, 643-650. 47 families were observed interacting at home, and their behavior was recorded in terms of interactions between a target child and the other family members. The types of behaviors emitted by a target child to parents versus siblings were analyzed, as were the types of responses that parents versus siblings gave to the target child's behavior. Overall, a significantly greater number and variety of child behaviors were emitted in interactions with parents than with siblings. Also, of the behaviors emitted more often to parents, a greater proportion were positive in nature, while a greater proportion of those emitted more often to siblings were negative in nature. While both parents and siblings tended to reciprocate more often with positive behaviors, siblings responded significantly less positively and more negatively to the target child than did parents. The findings were discussed in terms of the different types of socialization occurring between children and parents versus between children and siblings.
Improving biometric verification with class-independent quality information

Existing approaches to biometric classification with quality measures make a clear distinction between the single-modality applications and the multi-modal scenarios. This study bridges this gap with Q-stack, a stacking-based classifier ensemble, which uses the class-independent signal quality measures and baseline classifier scores in order to improve the accuracy of uni- and multi-modal biometric classification. The seemingly counterintuitive notion of using class-independent quality information for improving class separation by considering quality measures as conditionally relevant classification features. The authors present Q-stack as a generalised framework of classification with quality information is explained, and argue that existing methods of classification with quality measures are its special cases. The authors further demonstrate the application of Q-stack on the task of biometric identity verification using face and fingerprint modalities, and show that the use of the proposed technique allows a systematic reduction of the error rates below those of the baseline classifiers, in scenarios involving single and multiple biometric modalities.
Exploring the nature of the researcher–practitioner relationship in qualitative educational research publications

This literature review looks at the way in which the researcher–practitioner relationship is described in research publications. The main finding of this review points to: a limited description and discussion of the relationship; a similarly limited, sometimes confusing, understanding of the notion of collaboration; as well as limited self‐reflection, sometimes accompanied by taken‐for‐granted attitudes on the part of the researchers.
ELISA ANTI‐HLA ANTIBODY SCREENING IDENTIFIES NON‐COMPLEMENT‐FIXING ANTIBODIES RESPONSIBLE FOR ACUTE GRAFT REJECTION. A CASE REPORT

We report on a kidney transplant recipient experiencing an unexpected early acute vascular graft rejection. Retrospective analysis of patient serum samples, utilizing a new ELISA HLA screening technique, revealed that the rejection crisis and the subsequent graft loss were due to a pretransplant donor‐specific pre‐sensitization caused by a non‐complement‐fixing antibody of IgG2 class. The case illustrates the clinical significance of non‐complement‐fixing anti‐HLA antibodies. In addition it is shown that ELISA methods are suitable for detecting potentially harmful donor pre‐sensitization in waiting‐list patients not detectable by standard lymphocytotoxicity techniques. Hence ELISA could be an alternative to flow cytometry for this purpose. It is concluded that screening and cross‐matching techniques which detect non‐complement‐fixing anti‐HLA antibodies could improve graft outcome, and should form part of the immunological monitoring of kidney transplant waiting‐list patients.
Motion Language of Stereo Image Sequence

This paper proposes a method for the symbolisation of temporal changes of the environments around the autonomous robot in a work space using the scene flow field for recognition of events. The proposed algorithm is a two-phase method for the accurate computation of the scene flow field. The algorithm next symbolises the motion field as a string of words using directional statistics. Our method extracts a string of words of motion in front of the robots from images captured by a robot-mounted stereo camera system. We evaluate performance of our method using KITTI scene flow Dataset 2015. The results shows the efficiency of the method for the extraction of events in front of a robot.
The hurt business: Psychological aspects of boxin

Ten boxers were interviewed individually to explore how they perceived the nature of aggression in the ring and the mental skills they employed in their sport. The interview data were subjected to thematic analysis, which elicited five dominant themes: aggression and how to deal with it; control of the arousal, especially anger that comes with the territory of the sport; and the positive aspects of discipline over mind and body that is required of boxers. A final observation relates to a relative absence in these interviews. Boxers did not speak explicitly about masculinity as a factor in the sport, unless prompted. Key words: Boxing; Aggression; Control; Discipline; Masculinity.
CAMINHOS QUE LEVAM À CORTE: CARREIRAS E PADRÕES DE RECRUTAMENTO DOS MINISTROS DOS ÓRGÃOS DE CÚPULA DO PODER JUDICIÁRIO BRASILEIRO (1829-2006)

This article analyzes changes and continuities in recruitment patterns for high-level justices in the Brazilian court system between 1829 and 2006. For these purposes, we analyze data on: 1) social origin and 2) juridical, political and penal system careers for members of the Supreme Courts (Supremo Tribunal de Justica from 1829-1890; Supremo Tribunal Federal, 1891-2006). We take a separate look at the social attributes of the individuals who have been recruited to these courts, identifying the characteristic traits of each generation of justices, emphasizing the importance of specific institutions of higher education for the prospects of a juridical career, states of origin and cases of geographical mobility within the different periods. We also look at the degree of differentiation in the juridical sphere in relation to spheres that are of a specifically political character, a question that is considered fundamental from the perspective of prospects for institutionalization. Our findings offer clues for comprehending the longitudinal changes that take place in career and recruitment standards for Brazilian supreme courts as well as the social, institutional and political requirements that pertain to the trajectories of this segment of the juridical field. Fundamentally, we have observed a gradual increase in individuals belonging to an exclusively juridical universe: people who have followed careers both in the juridical field and other arenas – whether political or linked to repressive State apparatuses – prevail throughout the periods under consideration. Decreased geographic circulation throughout the careers of future ministers, as well as the diversification of the institutions of higher education where their degrees are obtained (both phenomena particularly pronounced after the first Vargas period) further suggest - although rather paradoxically - the increased autonomy of the Court.
Emotional arousal and gender differences in aggression: A meta‐analysis

This meta-analysis investigated the possibility that gender differences in aggression, and the variability in these differences, are a function of gender differences in the regulation of arousal generated in emotionally evocative contexts. The sample of studies for this analysis was based on an exhaustive search of the relevant research reports from 1965-1999. Studies were excluded from the sample if they were case studies; investigated spousal/familial or societal violence, war, suicide, or political violence; involved clinical or deviant participants; included fewer than 10 participants; included all male, all female, all non-Caucasian, or non-US/non-Canadian participants. Based on previous evidence that males may be more easily aroused by aggressive-relevant emotional stimuli than females, and that males may have more difficulty regulating emotionally arousing states than females, we hypothesized that the magnitude of the gender differences in aggression would covary, in a nonlinear manner, with the emotional evocativeness of the study context. Consistent with our hypothesis, the magnitude of gender differences in aggression was relatively small in research contexts that appeared to produce no or large increments in emotional arousal and larger (favoring males) in contexts that appeared to produce small or medium increments in emotional arousal.
Analysis of Plant Pan-Genomes and Transcriptomes with GET_HOMOLOGUES-EST, a Clustering Solution for Sequences of the Same Species

The pan-genome of a species is defined as the union of all the genes and non-coding sequences found in all its individuals. However, constructing a pan-genome for plants with large genomes is daunting both in sequencing cost and the scale of the required computational analysis. A more affordable alternative is to focus on the genic repertoire by using transcriptomic data. Here, the software GET_HOMOLOGUES-EST was benchmarked with genomic and RNA-seq data of 19 Arabidopsis thaliana ecotypes and then applied to the analysis of transcripts from 16 Hordeum vulgare genotypes. The goal was to sample their pan-genomes and classify sequences as core, if detected in all accessions, or accessory, when absent in some of them. The resulting sequence clusters were used to simulate pan-genome growth, and to compile Average Nucleotide Identity matrices that summarize intra-species variation. Although transcripts were found to under-estimate pan-genome size by at least 10%, we concluded that clusters of expressed sequences can recapitulate phylogeny and reproduce two properties observed in A. thaliana gene models: accessory loci show lower expression and higher non-synonymous substitution rates than core genes. Finally, accessory sequences were observed to preferentially encode transposon components in both species, plus disease resistance genes in cultivated barleys, and a variety of protein domains from other families that appear frequently associated with presence/absence variation in the literature. These results demonstrate that pan-genome analyses are useful to explore germplasm diversity.
GestureSeg: developing a gesture segmentation system using gesture execution phase labeling by crowd workers

Most current mobile and wearable devices are equipped with inertial measurement units (IMU) that allow the detection of motion gestures, which can be used for interactive applications. A difficult problem to solve, however, is how to separate ambient motion from an actual motion gesture input. In this work, we explore the use of motion gesture data labeled with gesture execution phases for training supervised learning classifiers for gesture segmentation. We believe that using gesture execution phase data can significantly improve the accuracy of gesture segmentation algorithms. We define gesture execution phases as the start, middle and end of each gesture. Since labeling motion gesture data with gesture execution phase information is work intensive, we used crowd workers to perform the labeling. Using this labeled data set, we trained SVM-based classifiers to segment motion gestures from ambient movement of the device. We describe initial results that indicate that gesture execution phase can be accurately recognized by SVM classifiers. Our main results show that training gesture segmentation classifiers with phase-labeled data substantially increases the accuracy of gesture segmentation: we achieved a gesture segmentation accuracy of 0.89 for simulated online segmentation using a sliding window approach.
A mobile auction service based on mobile agents: design and analysis

With the advent of wireless networking and mobile computing technologies, there has been considerable interest in developing various mobile commerce services such as mobile auctions. This paper presents a mobile auction service based on mobile agents. Using a proxy server, users can generate a mobile agent by providing bidding information through a mobile terminal. The agent then moves to the required server to bid according to the user requirements. We have developed a prototype to demonstrate and evaluate the basic functions in a wireless network. Furthermore, we have formulated a mathematical model to analyse the commonly used 'proxy bidding method' for the mobile auction system. Based on the distribution of the maximum bidding price, the model can be used to find the probability of stopping at a certain price and, hence, the average winning price. Simulation and analytical results are presented to demonstrate the behaviour of the system.
Dynamic Bayesian network based interest estimation for visual attentive presentation agents

In this paper, we report on an interactive system and the results ofa formal user study that was carried out with the aim of comparing two approaches to estimating users' interest in a multimodal presentation based on their eye gaze. The scenario consists of a virtual showroom where two 3D agents present product items in an entertaining way, and adapt their performance according to users' (in)attentiveness. In order to infer users' attention and visual interest with regard to interface objects, our system analyzes eye movements in real-time. Interest detection algorithms used in previous research determine an object of interest based on the time that eye gaze dwells on that object. However, this kind of algorithm does not seem to be well suited for dynamic presentations where the goal is to assess the user's focus of attention with regard to a dynamically changing presentation. Here, the current context of the object of interest has to be considered, i.e., whether the visual object is part of (or contributes to) the current presentation content or not. Therefore, we propose to estimate the interest (or non-interest) of a user by means of dynamic Bayesian networks that may take into account the current context of the attention receiving object. In this way, the presentation agents can provide timely and appropriate response. The benefits of our approach will be demonstrated both theoretically and empirically.
Making Waves in the Brain: What Are Oscillations, and Why Modulating Them Makes Sense for Brain Injury

Traumatic brain injury (TBI) can result in persistent cognitive, behavioral and emotional deficits. However, the vast majority of patients are not chronically hospitalized; rather they have to manage their disabilities once they are discharged to home. Promoting recovery to pre-injury level is important from a patient care as well as a societal perspective. Electrical neuromodulation is one approach that has shown promise in alleviating symptoms associated with neurological disorders such as in Parkinson’s disease (PD) and epilepsy. Consistent with this perspective, both animal and clinical studies have revealed that TBI alters physiological oscillatory rhythms. More recently several studies demonstrated that low frequency stimulation improves cognitive outcome in models of TBI. Specifically, stimulation of the septohippocampal circuit in the theta frequency entrained oscillations and improved spatial learning following TBI. In order to evaluate the potential of electrical deep brain stimulation for clinical translation we review the basic neurophysiology of oscillations, their role in cognition and how they are changed post-TBI. Furthermore, we highlight several factors for future pre-clinical and clinical studies to consider, with the hope that it will promote a hypothesis driven approach to subsequent experimental designs and ultimately successful translation to improve outcome in patients with TBI.
Chapter 9 Towards a Verified Implementation of Software Transactional Memory

In recent years there has been much interest in the idea of concurrent programming using transactional memory, for example as provided in STM Haskell. While programmers are provided with a simple high-level model of transactions in terms of a stop-the-world semantics, the low-level implementation is rather more complex, using subtle optimisation techniques to execute multiple concurrent transactions efficiently, which is essential to the viability of the programming model. In this article, we take the first steps towards a formally verified implementation of transactional memory. In particular, we present a stripped-down, idealised concurrent language inspired by STM Haskell, and show how a low-level implementation of this language can be justified with respect to a high-level semantics, by means of a compiler and its correctness theorem, mechanically tested using QuickCheck and the HPC (Haskell Program Coverage) toolkit. The use of these tools proved to be invaluable in the development of our formalisation.