Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of plagiarism in database schemas using structural fingerprints

This research is concerned with plagiarism in software design. Specifically, the focus is on database design. Generally, producing plagiarized software may be done through illegal use of someone else's source code or database design. Since it is hard to steal source code from the original author(s), the database schema is usually easier to be viewed, studied and hence plagiarized. Efficient design of a database schema requires an understanding of the application area, the data usage patterns, and the underlying database management system. Stealing the effort of this step may be rewarding to some. The main contribution of this paper is the suggestion of a software tool for detecting plagiarized database schemas using structural fingerprints of database tables.
Undergraduate Writing Assignments: An Analysis of Syllabi at One Canadian College

Studies of university writing assignments demonstrate inconsistencies in the elements examined, making it difficult to achieve a clear understanding of the range, frequency, and characteristics of assignments that students might encounter. In this research study, syllabi from one university college were analyzed to determine the types and frequency of assignments and how these assignments vary by program and level. A total of 179 syllabi from all courses taught during 1 academic year were collected. On average, 2.5 writing assignments per course were assigned. Almost half of all assignments were 4 pages or less in length. Though length and grade value of assignments were significantly correlated, students did not write significantly longer or more high-stakes assignments as they progressed. The most common type of assignment was the term or research paper, though task labels were highly variable. Program profiles revealed differences between programs in frequency of assignments, learning goals, nested assignments, and in-process feedback. Implications for Writing Across the Curriculum programming and the development of departmental writing profiles are discussed.
Quantitative proteomics in the field of microbiology

Quantitative proteomics has become an indispensable analytical tool for microbial research. Modern microbial proteomics covers a wide range of topics in basic and applied research from in vitro characterization of single organisms to unravel the physiological implications of stress/starvation to description of the proteome content of a cell at a given time. With the techniques available, ranging from classical gel‐based procedures to modern MS‐based quantitative techniques, including metabolic and chemical labeling, as well as label‐free techniques, quantitative proteomics is today highly successful in sophisticated settings of high complexity such as host–pathogen interactions, mixed microbial communities, and microbial metaproteomics. In this review, we will focus on the vast range of techniques practically applied in current research with an introduction of the workflows used for quantitative comparisons, a description of the advantages/disadvantages of the various methods, reference to hallmark publications and presentation of applications in current microbial research.
Existence of Lipschitz and Semiconcave Control-Lyapunov Functions

Given a locally Lipschitz control system which is globally asymptotically controllable at the origin, we construct a control-Lyapunov function for the system which is Lipschitz on bounded sets, and we deduce the existence of another one which is semiconcave (and so locally Lipschitz) outside the origin. The proof relies on value functions and nonsmooth calculus.
The Effects of Counterfactual Attacks on Social Judgments

Two experiments were conducted to compare the effects of different styles of verbal criticism (factual vs. counterfactual) on the perceptions of target, source, and quality of the attack. Counterfactual attacks resulted in more negative overall judgment of the target and ratings of the target’s morality than either factual attacks or no attack. Counterfactual attacks were also rated more positively than factual attacks, and the source of the counterfactual attack was rated as being less biased against the target. Regression analyses confirmed that the observed effect on overall judgment was mediated by the perceived bias of the source. The greater effectiveness of counterfactual attacks was moderated by awareness of prior hostility of the source of the attack toward the target.
Peacekeeping and the Gender Regime

This article addresses the issue of women participation in peacekeeping missions by focusing on two North Atlantic Treaty Organization Dutch peacekeeping units in Bosnia (SFOR8) and Kosovo (KFOR2). I argue that soldiers are ambivalent toward what is perceived the “feminine” aspects of peace missions. Although peacekeeping is a new military model, it reproduces the same traditional combat-oriented mind-set of gender roles. Therefore Dutch female soldiers are limited in their ability to perform and contribute to peace missions. Both peacekeeping missions and female soldiers are confusing for the soldiers, especially for the more hypermasculine Bulldog infantry soldiers. Both represent a blurred new reality in which the comfort of the all-male unit and black-and-white combat situations are replaced by women in what were traditionally men's roles and the fuzzy environment of peacekeeping. At the same time, both are also necessary: peacekeeping, although not desirable, has become the main function for Dutch soldiers, and women are still a small minority, although they gain importance in the army. Present government policy prescribes a gender mainstreaming approach to recruiting, partly due to a lack of qualified male personnel, especially after the end of the draft in 1996.
Increased Serotonin and Dopamine Transporter Binding in Psychotropic Medication–Naïve Patients with Generalized Social Anxiety Disorder Shown by 123I-β-(4-Iodophenyl)-Tropane SPECT

There is circumstantial evidence for the involvement of serotonergic and dopaminergic systems in the pathophysiology of social anxiety disorder. In the present study, using SPECT imaging we examined the 123I-β-(4-iodophenyl)-tropane binding potential for the serotonin and dopamine transporters in patients with a generalized social anxiety disorder and in age- and sex-matched healthy controls. Methods: Twelve psychotropic medication–naïve patients with social anxiety disorder, generalized type (5 women and 7 men) and 12 sex- and age-matched healthy controls were studied. Volumes of interest were constructed on MRI-coregistered SPECT scans. Binding ratios were compared using the Mann–Whitney U test. Possible correlations between binding patterns and symptomatology were assessed using the Spearman rank correlation coefficient. Results: Significantly higher binding potentials were found for the serotonin in the left and right thalamus of patients. Patients had also a significantly higher binding potential for the dopamine transporter in the striatum. Conclusion: The present study provided direct evidence for abnormalities in both the dopaminergic and the serotonergic systems in patients with generalized social anxiety disorder.
A comparison of black and white managers on intent to leave and job mobility

The aim of this cross-correlational study was to determine how similar black and white managers were with regards to job mobility and whether high salaries was the main reason for excessive job mobility. Thirty black and thirty white middle managers from large companies completed the questionnaires assessing job satisfaction, organisational commitment, work values and intent to leave. Opsomming Die doelwit van hierdie kruiskorrelasiestudie was om vas te stel in watter mate daar n ooreenkoms tussen swart en wit bestuurders is ten opsigte van hulle benadering tot werkmobiliteit en of hoe salarisse die hoofrede is vir oormatige werkmobiliteit. Dertig swart en dertig wit middelbestuurders van groot maatskappye het die vraelyste voltooi wat die volgende geevalueer het: werkbevrediging, verbintenis tot die organisasie, werkwaardes en voomeme om die maatskappy te verlaat.
Choosing Your IoT Programming Framework: Architectural Aspects

The Internet of Things (IoT) is turning into practice. To drive innovations, it is crucial that programmers have means to develop IoT applications in the form of IoT programming frameworks. These are toolkits to develop applications according to a certain style or method and that let developers focus on the essence of their applications. New IoT programming frameworks are emerging frequently and this can be overwhelming. To gain useful insights on these frameworks, we define a taxonomy that classifies their architecture. At the same time, the process of developing this taxonomy makes the essential architectural aspects of these frameworks explicit. For each of these aspects, we provide discriminating categories with respect to the effects each category has on certain extra-functional (quality) properties in IoT. We apply the taxonomy on three IoT programming frameworks, namely Works with Nest [1], ARM mbed IoT Device Platform [2] and Alljoyn [3]. Our analysis results in useful insights not only on the architecture of the frameworks but also on the basic differences between the frameworks. Comparing multiple candidate frameworks based on the taxonomy helps to find the most suitable framework for a desired IoT application.
Proteomics Analysis of the Effects of Cyanate on Chromobacterium violaceum Metabolism

Chromobacterium violaceum is a gram-negative betaproteobacterium that has been isolated from various Brazilian ecosystems. Its genome contains the cyn operon, which gives it the ability to metabolize highly toxic cyanate into ammonium and carbon dioxide. We used a proteomics approach to investigate the effects of cyanate on the metabolism of this bacterium. The proteome of cells grown with and without cyanate was compared on 2-D gels. Differential spots were digested and identified by mass spectrometry. The bacterium was able to grow at concentrations of up to 1 mM cyanate. Eighteen spots were differentially expressed in the presence of cyanate, of which 16 were downregulated and only two were upregulated. An additional 12 spots were detected only in extracts of cells unexposed to cyanate, and one was expressed only by the exposed cells. Fourteen spots were identified, corresponding to 13 different proteins. We conclude that cyanate promotes expression of enzymes that combat oxidative stress and represses enzymes of the citric acid cycle, strongly affecting the energetic metabolism of the cell. Other proteins that were under-expressed in bacteria exposed to cyanate are involved in amino-acid metabolism or are hypothetical proteins, demonstrating that cyanate also affects expression of genes that are not part of the cyn operon.
Bayesian Sparse Unsupervised Learning for Probit Models of Binary Data

We present a unified approach to unsupervised Bayesian learning of factor models for binary data with binary and spike-and-slab latent factors. We introduce a non-negative constraint in the spike-and-slab prior that eliminates the usual sign ambiguity present in factor models and lowers the generalization error on the datasets tested here. For the generative models we use probit functions, which can be sampled without tuning parameters, unlike previous works that used logistic functions. The posterior distributions involve mixtures of binary and truncated Gaussian variables, for which we present exact Hamiltonian Monte Carlo samplers and compare their properties to Gibbs samplers.
Learning to Identify Subjective Sentences

Subjective sentences describe people’s opinions, points-of-view, interpretations, comparisons, sentiments, judgments, ap-praisals or feelings toward entities, events and their properties. Identifying subjective sentences is the basis for opinion mining and sentiment analysis and is important in applications like political analysis, social media analytics and product review analytics. We use standard classi-ﬁers to build models of SUBJECTIVE vs. NON-SUBJECTIVE sentences and demonstrate that they outperform the approaches reported in the literature on several interesting datasets. We discuss two novel applications of this work: prevalence of subjective sentences in performance appraisal text and scientiﬁc papers. We demonstrate that scientiﬁc papers also contain a substantial fraction of subjective sentences. We compare the nature of subjective sentences in performance appraisals text and scientiﬁc papers, and observe different reasons why some sentences in these domains are subjective. We propose the need to further investigate the linguistic and semantic basis for subjective sentences across different domains.
Assessment of Carbamate Pesticide Immunotoxicity

Adult female Swiss Webster and B6C3F1 mice received distilled water only or water containing 0.1, 1.0, 10, 100 or 1000 ppb of aldicarb daily for 34 days. The target concentration of aldicarb present in the 10 ppb dosing solution was analytically verified on a daily basis as was its stability over a 48-hr period. To develop an immune profile of this compound, functional parameters measured after exposure included resistance to infectious viral challenge; quantitation of splenic antibody-forming cells to sheep erythrocytes; splenic lymphocyte blastogenesis to B-cell mitogens; and T-cell mixed lymphocyte culture response. In addition, gross and histopathologic examinations of tissues relevant to the immune system were performed. The absence of significant effects on any of these parameters suggests that aldicarb at environmentally relevant exposure concentrations is not immunotoxic in rodents.
A real time robust observer for an Agonist-Antagonist Variable Stiffness Actuator

We consider the problem of estimating the time-varying stiffness in real-time of a Variable Stiffness Actuator in an agonistic-antagonistic configuration. The estimation of the stiffness is done in two steps. First, we use operational calculus which provides a relation between the positions/velocities of the motors and the link, the torques of the motors and the stiffness. Second, we combine the obtained relation with a polynomial approximation of the stiffness and a recursive least square algorithm to fit the data. Simulations and experimental results are provided and demonstrate the effectiveness of the proposed approach.
Inhibition of Osteoclast Bone Resorption by Disrupting Vacuolar H+-ATPase a3-B2 Subunit Interaction*

Vacuolar H+-ATPases (V-ATPases) are highly expressed in ruffled borders of bone-resorbing osteoclasts, where they play a crucial role in skeletal remodeling. To discover protein-protein interactions with the a subunit in mammalian V-ATPases, a GAL4 activation domain fusion library was constructed from an in vitro osteoclast model, receptor activator of NF-κB ligand-differentiated RAW 264.7 cells. This library was screened with a bait construct consisting of a GAL4 binding domain fused to the N-terminal domain of V-ATPase a3 subunit (NTa3), the a subunit isoform that is highly expressed in osteoclasts (a1 and a2 are also expressed, to a lesser degree, whereas a4 is kidney-specific). One of the prey proteins identified was the V-ATPase B2 subunit, which is also highly expressed in osteoclasts (B1 is not expressed). Further characterization, using pulldown and solid-phase binding assays, revealed an interaction between NTa3 and the C-terminal domains of both B1 and B2 subunits. Dual B binding domains of equal affinity were observed in NTa, suggesting a possible model for interaction between these subunits in the V-ATPase complex. Furthermore, the a3-B2 interaction appeared to be moderately favored over a1, a2, and a4 interactions with B2, suggesting a mechanism for the specific subunit assembly of plasma membrane V-ATPase in osteoclasts. Solid-phase binding assays were subsequently used to screen a chemical library for inhibitors of the a3-B2 interaction. A small molecule benzohydrazide derivative was found to inhibit osteoclast resorption with an IC50 of ∼1.2 μm on both synthetic hydroxyapatite surfaces and dentin slices, without significantly affecting RAW 264.7 cell viability or receptor activator of NF-κB ligand-mediated osteoclast differentiation. Further understanding of these interactions and inhibitors may contribute to the design of novel therapeutics for bone loss disorders, such as osteoporosis and rheumatoid arthritis.
Intercultural Education in Europe: Policies, practices and trends

European societies have become increasingly diverse as a result of legal and illegal migration flows, and educationists are facing the challenge of how to address the presence of migrant students. In recent years, there has been increasing activity at European level in the field of intercultural education despite the principle of subsidiarity. This article draws on 30 European level policy documents published within the last decade to analyse the dynamics influencing intercultural education in Europe. These include European Union institutions (such as European Commission, European Council, and Council of Ministers) and Council of Europe documents. Our discussions are situated within historical and contemporary European immigration policy developments. We argue that the main emphasis of recent European level policies and directives is on fostering social cohesion through incorporating migrant students. In so doing, European organisations have had to deal with arguments surrounding the legitimacy of European policy initiatives in the field of intercultural education.
Genome-Wide Association Study of Proneness to Anger

Background Community samples suggest that approximately 1 in 20 children and adults exhibit clinically significant anger, hostility, and aggression. Individuals with dysregulated emotional control have a greater lifetime burden of psychiatric morbidity, severe impairment in role functioning, and premature mortality due to cardiovascular disease. Methods With publically available data secured from dbGaP, we conducted a genome-wide association study of proneness to anger using the Spielberger State-Trait Anger Scale in the Atherosclerosis Risk in Communities (ARIC) study (n = 8,747). Results Subjects were, on average, 54 (range 45–64) years old at baseline enrollment, 47% (n = 4,117) were male, and all were of European descent by self-report. The mean Angry Temperament and Angry Reaction scores were 5.8±1.8 and 7.6±2.2. We observed a nominally significant finding (p = 2.9E-08, λ = 1.027 - corrected pgc = 2.2E-07, λ = 1.0015) on chromosome 6q21 in the gene coding for the non-receptor protein-tyrosine kinase, Fyn. Conclusions Fyn interacts with NDMA receptors and inositol-1,4,5-trisphosphate (IP3)-gated channels to regulate calcium influx and intracellular release in the post-synaptic density. These results suggest that signaling pathways regulating intracellular calcium homeostasis, which are relevant to memory, learning, and neuronal survival, may in part underlie the expression of Angry Temperament.
Knowledge of Error in Relation to the Teaching and Learning of the Osoto-Gari Judo Throw

The aim of this study was to determine the most frequent technical errors, and their associated behavioural sequences, in the judo throw osoto-gari, proposing improvements to the way in which judo is taught and learnt. Inexperienced students (n=55, 30 males and 25 females; M=24.8 years, SD=2.3) from the Faculty of Educational and Sports Science at the University of Vigo (Spain) were recorded on digital video while performing the technique. The results of this systematic observational study based in descriptive statistics and the sequential analysis of temporal patterns were obtained via the THEME v.5 software, revealing a series of typical errors when learning the osoto-gari. Specific sequences of errors were identified being able to propose motor tasks and teaching-learning processes to ensure that novices successfully learnt the osoto-gari technique. Recommendations about the use of feedback are also provided.
Infectious complications in patients receiving autologous CD34‐selected hematopoietic stem cell transplantation for severe autoimmune diseases

Abstract: Long‐term analysis of infectious complication after high‐dose immunosuppressive therapy with CD34‐selected autologous hematopoietic stem cell transplantation for patients with severe autoimmune diseases (AD) was performed. Theoretically, CD34 selection can reduce the risk of reinfusion of autoreactive lymphocytes. However, it is also associated with a significant reduction in T cells, natural killer cells, and monocytes, which in turn may compromise immune reconstitution, thereby increasing the risk of infection. Moreover, AD compromises host immunity and causes organ damage resulting in dysfunction of the cutaneous or mucosal barrier. In this study, the incidence rate of infections is reported in 14 patients who underwent high‐dose (200 mg/kg) cyclophosphamide therapy followed by reinfusion of CD34‐selected autologous peripheral blood stem cells. Bacterial complication occurred in 3 of 14 (21%) patients. Cytomegalovirus reactivation and adenovirus hemorrhagic cystitis were observed in 9 (64%) and 2 (14%) patients, respectively. As for late infectious complications, 7 patients (50%) developed dermatomal varicella zoster virus infection. No infection‐related mortality was seen in this case series. Because the risk for infections approaches that seen in allogeneic transplant recipients, infection surveillance, diagnostic workup, and prophylactic strategies similar to those applicable to allogeneic recipients are warranted.
Minimizing transmission energy in sensor networks via trajectory control

Energy optimization is a significant component of Wireless Sensor Network (WSN) design. In this paper we consider transmission energy optimization in WSNs where messages are collected by a mobile receiver (collector). The collector is responsible for gathering data messages by choosing the optimal path that minimizes the total transmit energy at the sensors subject to a maximum travel delay constraint. We show, both analytically and through simulation, that letting the mobile collector come closer to sensors with more data to transmit leads to significant reduction in energy consumption. Using this intuition, we propose an algorithm for choosing both the transmission radii and the mobile collector's path that achieves over 50% improvement in energy consumption compared to schemes that use a fixed communication radius for every sensor, and a 95% improvement as compared to the case of a stationary base station. We extend our results to the case of stochastic arrivals to the sensors and propose an Adaptive Algorithm that dynamically adjusts the transmission radii of the sensors based on the sensors' current queue sizes. We show that it can achieve 80% transmission energy improvement with respect to a non-adaptive scheme that uses fixed radii computed using the average arrival rates.