Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Task Technology Fit, Perceived Usability and Satisfaction on M-Learning Continuance Intention

The rapid development and popularity of wireless internet and mobile communication technology have given rise to mobile learning or M-Learning. M-Learning, a combination of E-Learning and wireless technology, has brought a totally new perspective for learners. The employees of a travel agency were invited to take part in this study. The study aims at discussing the hypotheses demonstrating the effect of task-technology fit, cognitive behavior (perceived usefulness, perceived ease of use and cognitive absorption) and satisfaction on the intention of continuous use of M-Learning. A questionnaire survey was also included for further examination so as to explore the correlations between the variables and M-Learning satisfaction for the travel agency studied. The results can serve as a reference for related organizations and the travel agency for improving satisfaction and users’ intention of M-Learning.
Substance P and dopamine interact to modulate the distribution of delta‐opioid receptors on cholinergic interneurons in the striatum

It has been recently demonstrated that predictive learning induces a persistent accumulation of delta‐opioid receptors (DOPrs) at the somatic membrane of cholinergic interneurons (CINs) in the nucleus accumbens shell (Nac‐S). This accumulation is required for predictive learning to influence subsequent choice between goal‐directed actions. The current experiments investigated the local neurochemical events responsible for this translocation. We found that (1) local administration of substance P into multiple striatal sub‐territories induced DOPr translocation and (2) that this effect was mediated by the NK1 receptor, likely through its expression on CINs. Interestingly, whereas intrastriatal infusion of the D1 agonist chloro‐APB reduced the DOPr translocation on CINs and infusion of the D2 agonist quinpirole had no effect, co‐administration of both agonists again generated DOPr translocation, suggesting the effect of the D1 agonist alone was due to receptor internalisation. In support of this, local administration of cocaine was found to increase DOPr translocation as was chloro‐APB when co‐administered with the DOPr antagonist naltrindole. These studies provide the first evidence of delta‐opioid receptor translocation in striatal cholinergic interneurons outside of the accumbens shell and suggest that, despite differences in local striatal neurochemical microenvironments, a similar molecular mechanism – involving an interaction between dopamine and SP signalling via NK1R – regulates DOPr translocation in multiple striatal regions. To our knowledge, this represents a novel mechanism by which DOPr distribution is regulated that may be particularly relevant to learning‐induced DOPr trafficking.
Teaching primary school children in single-gendered classes

This study demonstrates that when upper primary school boys and girls from low socio-economic environments are educated separately in single-gendered classrooms in a coeducational school, there is potential for them to make positive educational and social gains. Moreover, contrary to the accepted, conventional, but untheorised practice of coeducational classrooms. This study demonstrates that the single-gendered primary school class does have the potential to provide a unique learning environment. The teachers in this study encouraged confidence building and social cohesiveness as essential, foundational attributes of the learning group. When the teachers became aware of the potential for single-gendered classes to develop as internally cooperative groups, they designed a pedagogy that was highly relevant to each gender. It achieved these attributes because it was high in motivational potential and conducive of social harmony. Thus these findings provide important information for current teachers and a new direction for the pre-service education of teachers.
Txp40, a Ubiquitous Insecticidal Toxin Protein from Xenorhabdus and Photorhabdus Bacteria

ABSTRACT Xenorhabdus and Photorhabdus are gram-negative bacteria that produce a range of proteins that are toxic to insects. We recently identified a novel 42-kDa protein from Xenorhabdus nematophila that was lethal to the larvae of insects such as Galleria mellonella and Helicoverpa armigera when it was injected at doses of 30 to 40 ng/g larvae. In the present work, the toxin gene txp40 was identified in another 59 strains of Xenorhabdus and Photorhabdus, indicating that it is both highly conserved and widespread among these bacteria. Recombinant toxin protein was shown to be active against a variety of insect species by direct injection into the larvae of the lepidopteran species G. mellonella, H. armigera, and Plodia interpunctella and the dipteran species Lucilia cuprina. The protein exhibited significant cytotoxicity against two dipteran cell lines and two lepidopteran cell lines but not against a mammalian cell line. Histological data from H. armigera larvae into which the toxin was injected suggested that the primary site of action of the toxin is the midgut, although some damage to the fat body was also observed.
Skyline‐plot methods for estimating demographic history from nucleotide sequences

Estimation of demographic history from nucleotide sequences represents an important component of many studies in molecular ecology. For example, knowledge of a population’s history can allow us to test hypotheses about the impact of climatic and anthropogenic factors. In the past, demographic analysis was typically limited to relatively simple population models, such as exponential or logistic growth. More flexible approaches are now available, including skyline‐plot methods that are able to reconstruct changes in population sizes through time. This technical review focuses on these skyline‐plot methods. We describe some general principles relating to sampling design and data collection. We then provide an outline of the methodological framework, which is based on coalescent theory, before tracing the development of the various skyline‐plot methods and describing their key features. The performance and properties of the methods are illustrated using two simulated data sets.
High-speed navigation of unmanned ground vehicles on uneven terrain using potential fields

SUMMARY Many applications require unmanned ground vehicles (UGVs) to travel at high speeds on sloped, natural terrain. In this paper, a potential field-based method is proposed for UGV navigation in such scenarios. In the proposed approach, a potential field is generated in the two-dimensional “trajectory space” of the UGV path curvature and longitudinal velocity. In contrast to traditional potential field methods, dynamic constraints and the effect of changing terrain conditions can be easily expressed in the proposed framework. A maneuver is chosen within a set of performance bounds, based on the local potential field gradient. It is shown that the proposed method is subject to local maxima problems, rather than local minima. A simple randomization technique is proposed to address this problem. Simulation and experimental results show that the proposed method can successfully navigate a small UGV between predefined waypoints at speeds up to 7.0 m/s, while avoiding static hazards. Further, vehicle curvature and velocity are controlled during vehicle motion to avoid rollover and excessive side slip. The method is computationally efficient, and thus suitable for onboard real-time implementation.
'Driving While Black': A Theory for Interethnic Integration and Evolution of Prejudice

This paper studies the evolution of interethnic attitudes, the integration or segregation dynamics of ethnic minorities and the conditions for the rising of ethnic-based social hierarchies. By means of a cultural evolution framework, a dynamics of interethnic attitudes is provided and conditions for their convergence derived. Steady states implying a constant role of racism and no role for racism are identified. Deriving sufficient conditions for convergence, we find that the way in which Oblique Socialization Schemes (the way children react to out-of-family stimuli when forming their cultural values) are defined and modelled becomes crucial for the structure of the derived long run equilibria. In particular, we find that Steady States implying an Ethnic-based social ranking or full integration of ethnicities may be reached depending on whether or not agents use Reciprocity and/or Ethnocentrism in their interethnic attitudes formation schemes. Allowing different groups for asymmetric use of reciprocity and Ethnocentrism, we explain why different ethnic minorities may show different integration patterns, and what are the different roles (Cultural bridge, cultural hub) an ethnic group may play in the integration process. Moreover, in this way, we explain why attitudes of some groups towards others converge to the same values, while other groups seems to be excluded from this process. At last, we provide the first steps for the endogeneization of socialization structures.
Orthogonal STBC for MDL Mitigation in Mode Division Multiplexing System With MMSE Channel Estimation

Mode division multiplexing (MDM) has the potential of increasing the capacity of optical fiber transmission system. However, primary impaired factor mode-dependent loss (MDL) poses fundamental performance limitations. Recently MIMO space time coding technique has provided a potential solution to mitigate the MDL and hence started receiving considerable interests. In this paper, orthogonal space time block coding (OSTBC)-based MDM transmission system was investigated to test its efficiency in mitigating MDL. Considering the importance and necessity of channel estimation for coherent receivers and the paucity of literature on this subject, MMSE channel estimation process was introduced in the MDM system to test the robustness and efficiency of the OSTBC-MDM system in mitigating the MDL. Furthermore, an alternative linear decoding (LD) method was achieved by transferring the orthogonal characteristics of codes in OSTBC to the channel elements in MDM system. The LD method has the same performance as the optimal ML method, excepting that it only exhibits linear computational complexity, in terms of the number of modes and the size of constellations. Simulation results were provided to validate the efficiency and robustness of the proposed OSTBC-MDM system in mitigating the MDL in the presence of MMSE channel estimation.
THE ROLE OF EMOTION IN ENABLING AND CONDITIONING PUBLIC DELIBERATION OUTCOMES: A SOCIOLOGICAL INVESTIGATION

Citizen participation in deliberation activities within public health systems is increasingly seen as essential in achieving more patient-centred, equitable and democratic care. However, recent studies show that patients' lived, affective experience of illness and care remains poorly understood within deliberative fora. In response, this article argues that emotion is central in mediating deliberation, and in conditioning deliberative outcomes. To understand how this occurs, we use a sociologically informed notion of ‘biographical affect’ to address links between emotion and social and political action. Benefits of this approach for healthcare deliberation are illustrated through an in-depth case study of a major citizen participation forum in the UK National Health Service. Our conclusions call for alternative orientations to participation that involve committed engagement with participants' affective experiences.
Solexa Sequencing of Novel and Differentially Expressed MicroRNAs in Testicular and Ovarian Tissues in Holstein Cattle

The posttranscriptional gene regulation mediated by microRNA plays an important role in the development and function of male and female reproductive organs and germ cells in mammals, including cattle. In the present study, we identified novel and differentially expressed miRNAs in the testis and ovary in Holstein cattle by combining the Solexa sequencing with bioinformatics. In total 100 and 104 novel pre-miRNAs were identified in testicular and ovarian tissues, encoding 122 and 136 mature miRNAs, respectively. Of these, 6 miRNAs appear to be bovine-specific. A total of 246 known miRNAs were co-expressed in the testicular and ovarian tissues. Of the known miRNAs, twenty-one testis-specific and nine ovary-specific (1-23 reads) were found. Approximately 30.5% of the known bovine miRNAs in this study were found to have >2-fold differential expression within the two respective reproductive organ systems. The putative miRNA target genes of miRNAs were involved in pathways associated with reproductive physiology. Both known and novel tissue-specific miRNAs are expressed by Real-time quantitative PCR analysis in dairy cattle. This study expands the number of miRNAs known to be expressed in cattle. The patterns of miRNAs expression differed significantly between the bovine testicular and ovarian tissues, which provide important information on sex differences in miRNA expression. Diverse miRNAs may play an important regulatory role in the development of the reproductive organs in Holstein cattle.
Der familiensystem-Test (FAST): Eine drei-dimensionale Methode zur analyse sozialer Beziehungsstrukturen

Der . Familiensystem-Test (FAST) ist eine in der klinischen Praxis entwickelte Figurentechnik zur drei-dimensionalen Darstellung von Kohasion und Hierarchie in der Familie. Der FAST mist individuelle und Gruppenwahrnehmungen von typischen, idealen und Konfliktsituationen. Die Analyse der Flexibilitat der Familienstruktur basiert auf dem Vergleich von Darstellungen der Familie in diesen Situationen. In dieser Arbeit werden die Durchfuhrung und Auswertung des FAST beschrieben. Des weitern werden die Resultate von vorwiegend in den USA durchgefuhrten Validierungsstudien vorgestellt. Die Relevanz des FAST wird unter Berucksichtigung von systemischen, entwicklungspsychologischen und klinischen Aspekten diskutiert.
SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging

In this paper, we describe our approach to Semeval 2015 task 10 subtask B, message level sentiment detection. Our system implements a variety of classifiers and data preparation techniques from previous work. The set of features and classifiers used in the final system produced consistently strong results using crossvalidation on the provided training data. Our final system achieved an F-score of 57.60 on the provided test data. The overall best performing system had an F-score of 64.84.
Applicability of rep-PCR fingerprinting for identification of Lactobacillus species.

PCR amplification of repetitive bacterial DNA elements fingerprinting using the (GTG)(5) primer ((GTG)(5)-PCR) was proven to be useful for differentiation of a wide range of lactobacilli (i.e. 26 different (sub)species) at the species, subspecies and potentially up to the strain level. Using this rapid and reproducible genotypic technique, new Lactobacillus isolates recovered from different types of fermented dry sausage could be reliable identified at the (sub)species level. In conclusion, (GTG)(5)-PCR was found to be a promising genotypic tool for rapid and reliable speciation and typing of lactobacilli and other lactic acid bacteria important in food-fermentation industries.
Understanding Countertransference with Patients with Borderline Personality Disorder : an Exploratory Quantitative Investigation

Understanding Countertransference with Patients with Borderline Personality Disorder: An Exploratory Quantitative Investigation. Michelle Saxen Hunt Psy.D. , August 2003 Philadelphia College of Osteopathic Medicine Rosemary B. Mennuti, Dissertation Advisor The present study surveyed 58 psychologists regarding their countertransference (CT) behaviors, CT management ability, empathy, and working alliances when treating patients with borderline personality disorder (BPD). Common positive and negative CT behaviors were identified when treating their typical patient with BPD. As predicted, results yielded negative correlations between therapists' CT behaviors and their CT management ability, working alliance, and empathy, as well as a positive correlation between therapists' CT management and working alliance, linking CT management to positive treatment outcomes. Therapists' level of experience and theoretical orientation were also examined, finding no significant impact on CT behaviors, CT management, or working alliance. Implications for training and supervision of therapists treating patients with BPD, suggestions for future research, and limitations of the study are discussed.
Gaussian Laser Beams with Radial Polarization

If a laser beam is to have radial transverse polarization, the transverse electric must vanish on the symmetry axis, which is charge free in vacuum. However, we can expect a nonzero longitudinal electric field on the axis, noting that the projections onto the axis of the electric field vectors of rays all have the same sign, as shown in Fig. 2a. This contrasts with the case of linearly polarized Gaussian laser beams [2, 3, 4, 5] for which rays at 0◦ and 180◦ azimuth
regSNPs: a strategy for prioritizing regulatory single nucleotide substitutions

Motivation: One of the fundamental questions in genetics study is to identify functional DNA variants that are responsible to a disease or phenotype of interest. Results from large-scale genetics studies, such as genome-wide association studies (GWAS), and the availability of high-throughput sequencing technologies provide opportunities in identifying causal variants. Despite the technical advances, informatics methodologies need to be developed to prioritize thousands of variants for potential causative effects. Results: We present regSNPs, an informatics strategy that integrates several established bioinformatics tools, for prioritizing regulatory SNPs, i.e. the SNPs in the promoter regions that potentially affect phenotype through changing transcription of downstream genes. Comparing to existing tools, regSNPs has two distinct features. It considers degenerative features of binding motifs by calculating the differences on the binding affinity caused by the candidate variants and integrates potential phenotypic effects of various transcription factors. When tested by using the disease-causing variants documented in the Human Gene Mutation Database, regSNPs showed mixed performance on various diseases. regSNPs predicted three SNPs that can potentially affect bone density in a region detected in an earlier linkage study. Potential effects of one of the variants were validated using luciferase reporter assay. Contact: yunliu@iupui.edu Supplementary information: Supplementary data are available at Bioinformatics online
Orthogonal Tensor Decompositions

We explore the orthogonal decomposition of tensors (also known as multidimensional arrays or n-way arrays) using two different definitions of orthogonality. We present numerous examples to illustrate the difficulties in understanding such decompositions. We conclude with a counterexample to a tensor extension of the Eckart--Young SVD approximation theorem by Leibovici and Sabatier [Linear Algebra Appl. , 269 (1998), pp. 307--329].
A Combined Morpho-Molecular Approach towards Identification of Chaetomium Species of India

The Chaetomium, recently identified as a bio control fungal genus includes many species. The classification of the Chaetomium species based on morphology alone is very difficult as this genus has multiple species-specific characters in several species. Therefore, an attempt has been made to confirm the identity of Chaetomium species by integrating morphological and molecular (using Internal Transcribed Spacer region; ITS) characters of different species of Chaetomium . Sixty one isolates were morphologically characterized using perithecium, terminal hairs, lateral hairs, rhizoids and ascospores. The identity of these isolates was confirmed using ITS region based molecular characters. The taxonomy of nine valid species of the Chaetomium were described here.
An Overview of the Changing Landscape of Treatment for Advanced Melanoma

Melanoma—the deadliest form of skin cancer—leads to thousands of deaths each year. Although melanoma is less common than basal cell and squamous cell skin cancers, melanoma is more dangerous because it is more likely to spread to other parts of the body, such as lymph nodes, if not diagnosed and treated early. Data from the National Cancer Institute indicate a steady rise in new cases of melanoma and, unfortunately, a steady rate in the number of deaths through 2013. Ninety percent of melanomas are linked to inadequate sun protection from ultraviolet rays or the tanning habits of young adults. Over the past 5 years, however, there have been a variety of new pharmacologic treatments for advanced melanoma including immunotherapy, targeted agents (BRAF and MEK inhibitors), and oncolytic viral therapy. In this article, we review the current literature on the treatment of melanoma, with a focus on emerging therapies.
Space-Time Block Coded Spatial Modulation

A novel multiple-input multiple-output (MIMO) transmission scheme, called space-time block coded spatial modulation (STBC-SM), is proposed. It combines spatial modulation (SM) and space-time block coding (STBC) to take advantage of the benefits of both while avoiding their drawbacks. In the STBC-SM scheme, the transmitted information symbols are expanded not only to the space and time domains but also to the spatial (antenna) domain which corresponds to the on/off status of the transmit antennas available at the space domain, and therefore both core STBC and antenna indices carry information. A general technique is presented for the design of the STBC-SM scheme for any number of transmit antennas. Besides the high spectral efficiency advantage provided by the antenna domain, the proposed scheme is also optimized by deriving its diversity and coding gains to exploit the diversity advantage of STBC. A low-complexity maximum likelihood (ML) decoder is given for the new scheme which profits from the orthogonality of the core STBC. The performance advantages of the STBC-SM over simple SM and over V-BLAST are shown by simulation results for various spectral efficiencies and are supported by the derivation of a closed form expression for the union bound on the bit error probability.
BitGraph: A Framework For Scaling Temporal Graph Queries on GPUs

Graph query languages have become the standard among data scientists analyzing large, dynamic graphs, allowing them to structure their analysis as SQL-like queries. One of the challenges in supporting graph query languages is that, unlike SQL queries, graph queries nearly always involve aggregation of sparse data, making it challenging to scale graph queries without heavy reliance on expensive indices. This paper introduces the first major release of BitGraph , a graph query processing engine that uses GPU-acceleration to quickly process Gremlin graph queries with minimal memory overhead, along with its supporting stack, Gremlin++ , which provides query language support in C++, and Maelstrom , a lightweight library for compute-agnostic, accelerated vector operations built on top of Thrust . This paper also analyzes the performance of BitGraph compared to existing CPU-only backends applied specifically to temporal graph queries, demonstrating BitGraph’s superior scalability and speedup of up to 35x over naive CPU implementations.
Analysis of Discourse Structure with Syntactic Dependencies and Data-Driven Shift-Reduce Parsing

We present an efficient approach for discourse parsing within and across sentences, where the unit of processing is an entire document, and not a single sentence. We apply shift-reduce algorithms for dependency and constituent parsing to determine syntactic dependencies for the sentences in a document, and subsequently a Rhetorical Structure Theory (RST) tree for the entire document. Our results show that our linear-time shift-reduce framework achieves high accuracy and a large improvement in efficiency compared to a state-of-the-art approach based on chart parsing with dynamic programming.