Miracle-dz/UniFAR-FTUs huggingface dataset:
An Investigation on Students' Acceptance of Writing Web Logs: A Test of Technology Acceptance Model

The application of computer in education is on the rise recently. However, using web logs in English Language Teaching (ELT) is rather new in Malaysia since the students' acceptance of writing web logs has not been extensively examined in previous studies. Therefore, the objective of this study is to measure students’ acceptance of writing web logs employing the Davis’ Technology Acceptance Model (TAM). Two determinants–Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) are used to determine an individual’s Behavioural Intention (BI) of writing web log. To investigate the relationships among PEOU, PU, and BI of users with and without hands-on experience of blogging, pre- and post-questionnaires were administered on three intact groups of undergraduate students as the target sample. Three hypotheses were formulated based on the objectives of the study. The result of the study shows that with the support of hands-on experience, the students accepted to write web logs because they found it was more useful rather than easy to use. Besides, TAM also had been found suitable to be adopted in educational context to predict technology acceptance prior and subsequent to users having any hands-on experience with the technology for pedagogical purpose.
HIGH PERFORMANCE WORK SYSTEMS AND FIRM PERFORMANCE : A SYNTHESIS OF RESEARCH AND MANAGERIAL IMPLICATIONS

The strategic role of human resource management (HRM), and specifically, the influence of a firm's HRM system on its financial performance, has generated considerable interest within the academic and practitioner communities . This paper reviews the theoretical foundations for a HRM-firm performance relationship and focuses particularly on the potential of a high-performance work system to serve as an inimitable resource supporting the effective implementation of corporate strategy and the attainment of operational goals . Special attention is devoted to the methodological challenges inherent in the prior empirical work that has adopted this systems perspective, and what we can learn from research at different levels of analysis . We next summarize the evolution of our own work on the subject and present new findings that bear on the magnitude of the HRM strategy-firm performance relationship . Research in Personnel and Human Resources Management, Volume 16, pages 53-101 . Copyright ®1998 by JAI Press Inc . All rights of reproduction in any form reserved . ISBN: 0-7623-0368-9
Signaling in Escherichia coli Biofilms

Cell signaling in Escherichia coli biofilms is more important than originally known, in that autoinducer two (AI-2), AI-1 (N-acylhomoserine lactones), indole, hydroxylated indoles, norepinephrine, and epinephrine are all functional signals in this organism. This gives the bacterium the ability to monitor not only the presence of cells of its own species (through AI-2 and indole) but also the activity of the human host (through norepinephrine and epinephrine) as well as that of the other commensal bacteria (through hydroxylated indoles). We have also found that E. coli monitors the presence of bacteria that produce acylhomoserine lactones as these signals influence formation of its biofilms through the LuxR homolog SdiA. Hence, E. coli monitors its surroundings through signals it synthesizes as well as those synthesized by both prokaryotes and eukaryotes. In this chapter, we present recent findings on the role of these different signals as well as provide a detailed account of the complex features of uptake and regulation of the AI-2 signal in E. coli. AI-2 signaling through the motility quorum sensing regulator,
The libflame Library for Dense Matrix Computations

Researchers from the Formal Linear Algebra Method Environment (Flame) project have developed new methodologies for analyzing, designing, and implementing linear algebra libraries. These solutions, which have culminated in the libflame library, seem to solve many of the programmability problems that have arisen with the advent of multicore and many-core architectures.
Common genetic variants explain the majority of the correlation between height and intelligence

Greater height and higher intelligence test scores are predictors of better health outcomes. Here, we used molecular (single-nucleotide polymorphism) data to estimate the genetic correlation between height and general intelligence (g) in 6,815 unrelated subjects (median age 57, IQR 49–63) from the Generation Scotland: Scottish Family Health Study cohort. The phenotypic correlation between height and g was 0.16 (SE 0.01). The genetic correlation between height and g was 0.28 (SE 0.09) with a bivariate heritability estimate of 0.71. Understanding the molecular basis of the correlation between height and intelligence may help explain any shared role in determining health outcomes. This study identified a modest genetic correlation between height and intelligence with the majority of the phenotypic correlation being explained by shared genetic influences.
SDN-based Virtual Machine management for Cloud Data Centers

Software-Defined Networking (SDN) is an emerging paradigm to logically centralize the network control plane and automate the configuration of individual network elements. At the same time, in Cloud Data Centers (DCs), even though network and server resources converge over the same infrastructure and typically under a single administrative entity, disjoint control mechanisms are used for their respective management. In this paper, we propose a unified server-network control mechanism for converged ICT environments. We present a SDN-based orchestration framework for live Virtual Machine (VM) management where server hypervisors exploit temporal network information to migrate VMs and minimize the network-wide communication cost of the resulting traffic dynamics. A prototype implementation is presented and Mininet is used to evaluate the impact of diverse orchestration algorithms.
GRACE Score among Six Risk Scoring Systems (CADILLAC, PAMI, TIMI, Dynamic TIMI, Zwolle) Demonstrated the Best Predictive Value for Prediction of Long-Term Mortality in Patients with ST-Elevation Myocardial Infarction

Aim To compare the prognostic accuracy of six scoring models for up to three-year mortality and rates of hospitalisation due to acute decompensated heart failure (ADHF) in STEMI patients. Methods and Results A total of 593 patients treated with primary PCI were evaluated. Prospective follow-up of patients was ≥3 years. Thirty-day, one-year, two-year, and three-year mortality rates were 4.0%, 7.3%, 8.9%, and 10.6%, respectively. Six risk scores—the TIMI score and derived dynamic TIMI, CADILLAC, PAMI, Zwolle, and GRACE—showed a high predictive accuracy for six- and 12-month mortality with area under the receiver operating characteristic curve (AUC) values of 0.73–0.85. The best predictive values for long-term mortality were obtained by GRACE. The next best-performing scores were CADILLAC, Zwolle, and Dynamic TIMI. All risk scores had a lower prediction accuracy for repeat hospitalisation due to ADHF, except Zwolle with the discriminatory capacity for hospitalisation up to two years (AUC, 0.80–0.83). Conclusions All tested models showed a high predictive value for the estimation of one-year mortality, but GRACE appears to be the most suitable for the prediction for a longer follow-up period. The tested models exhibited an ability to predict the risk of ADHF, especially the Zwolle model.
Effects of Rational-Emotive Health Education Program on HIV risk perceptions among in-school adolescents in Nigeria

AbstractExploring beliefs about personal risk for human immunodeficiency virus (HIV) infection is essential to understanding what motivates people to engage in behaviors that reduce or increase their risk of HIV infection. Therefore, the current study's objective was to examine the effects of a Rational-Emotive Health Education Program (REHEP) on HIV risk perceptions among in-school adolescents in Anambra State, Nigeria.Forty-four participants were identified as having high-risk perceptions about HIV infection through a self-report questionnaire and met the inclusion criteria. The treatment process was guided by a REHEP manual and consisted of 8 weeks of full intervention and 2 weeks of follow-up meetings that marked the end of intervention. The study used repeated measures analysis of variance to assess improvements in individual participants and across control and treatment group risk perceptions after the intervention.HIV risk perceptions of in-school adolescents did not differ across the treatment and control groups at baseline. Through REHEP, HIV risk perceptions significantly reduced in the treatment group compared to those in the control group. REHEP had significant effect on HIV risk perceptions of in-school adolescents exposed to treatment group, despite their sex. Religious background did not determine the significant effect of REHEP on HIV risk perceptions of in-school adolescents in the treatment group.Follow-up studies that would use a REHEP to assist client population from other parts of the country to promote HIV risk reduction, especially among those with high-risk behavior, are needed in Nigeria.
Evaluating the Performance of Similarity Measures Used in Document Clustering and Information Retrieval

This paper presents the results of an experimental study of some similarity measures used for both Information Retrieval and Document Clustering. Our results indicate that the cosine similarity measure is superior than the other measures such as Jaccard measure, Euclidean measure that we tested. Cosine Similarity measure is particularly better for text documents. Previously these measures are compared with the conventional text datasets but the proposed system collects the datasets with the help of API and it returns the collection of XML pages. These XML pages are parsed and filtered to get the web document datasets. In this paper, we compare and analyze the effectiveness of these measures for these web document datasets.
Existence of Inverted Profile in Chemically Responsive Molecular Pathways in the Zebrafish Liver

How a living organism maintains its healthy equilibrium in response to endless exposure of potentially harmful chemicals is an important question in current biology. By transcriptomic analysis of zebrafish livers treated by various chemicals, we defined hubs as molecular pathways that are frequently perturbed by chemicals and have high degree of functional connectivity to other pathways. Our network analysis revealed that these hubs were organized into two groups showing inverted functionality with each other. Intriguingly, the inverted activity profiles in these two groups of hubs were observed to associate only with toxicopathological states but not with physiological changes. Furthermore, these inverted profiles were also present in rat, mouse, and human under certain toxicopathological conditions. Thus, toxicopathological-associated anti-correlated profiles in hubs not only indicate their potential use in diagnosis but also development of systems-based therapeutics to modulate gene expression by chemical approach in order to rewire the deregulated activities of hubs back to normal physiology.
A Critical Outlook on Combat-Related PTSD: Review and Case Reports of Guilt and Shame as Drivers for Moral Injury

ABSTRACT The model of posttraumatic stress disorder (PTSD) that has been dominant for many years has focused on fear conditioning and anxiety-related symptoms as main drivers of the pathology. Yet, the fear based conceptualization fails to consider the rules of modern combat, the culture of combatants, operational stressors and the moral dimension. Recently there is renewed interest in moral distress and moral injury with a focus on guilt, shame, and anger. Accumulating evidence suggests a link between transgression of moral values and symptoms of guilt and shame, anger, suicidal ideation, and PTSD in military servicemen and veterans. Although proper assessment is still in its infancy, there is a need to better understand how moral decisions can affect the mental health of military personnel at any point during their careers, including postrelease. The authors illustrate this with three clinical case reports. They conclude with a call for attention to the relation between the incurrence of moral injurious distress, and the role of guilt and shame as drivers for chronicity of PTSD. Identifying and addressing these issues can contribute to therapy adherence, facilitate successful progression, and contribute to healing and moral repair and reduce overall symptoms of PTSD.
Improved bilayer LDPC codes using irregular check node degree distribution

This paper presents an improved LDPC code design for decode-and-forward relay system. Our design is based on the recent work of bilayer LDPC code structures. We introduce an irregular check node degree distribution for the lower and hyper (overall) bilayer LDPC code Tanner graphs. We derive the exact relationship between the lower and hyper graphs in terms of degree distributions (node perspective). This relationship acts as constraint to perform the density evolution. We apply the differential evolution algorithm to search for the best degree distribution for both bilayer- lengthened and bilayer-expurgated LDPC codes. We show that the performance gap of the codes is within 0.07595 dB and 0.28407 dB from the theoretical limits.
The effect of 4-month cycling trainings performed on elite cyclists on some immunological parameters

The aim of this study was to investigate some immunological parameters, which showed differences in elite cyclists as a result of four months of chronic cycling trainings. The experimental group in this study consisted of 15 elite level trained cyclists between the ages of 17-19 who participated in international competitions. A regular training program was applied to the cyclists belonging to the experiment group for 6 days a week for 4 months. Prior to four-month chronic training, blood samples of cyclists were taken from the elbow vein. This procedure was repeated four months later. The control group consisted of individuals who did not regularly exercise and their ages were equivalent to the cyclists. No training program was applied to the control group. The data obtained in the study were analyzed statistically with the SPSS computer package software after being transferred to the electronic medium. In order to determine the homogeneity of the obtained data, "Single Sample Kolmogorov-Smirnov" test was performed, and the data was found to show normal distribution. "Independent t" test was used to determine differences between groups, while the analysis of intra-group measurements was performed by "Paired t" test. Significance level was determined as P 0. 05). Significant differences were observed in IgA, IgG, and IgE parameters, whereas no significant difference was found in IgM parameter (P 0.05). In conclusion, some leukocyte and immunoglobulin parameters were increased in the presence of chronic training. This increase is due to the reaction of the immune system to the training.
SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology

The growing demand for human-independent comfortable lifestyle has emboldened the development of smart home. A typical keenly intellective home includes many Internet of things contrivances that engender processes and immensely colossal data to efficiently handle its users’ demands. This incrementing demand raises a plethora of concern cognate to a smart home system in terms of scalability, efficiency, and security. All these issues are tedious to manage, and the existing studies lack the granularity for surmounting them. Considering such a requisite of security and efficiency as a quandary at hand, this article presents a secure and efficient smart home architecture, which incorporates the blockchain and the cloud computing technologies for a cumulated solution. Because of the decentralized nature of blockchain technology, it can serve the processing services and make the transaction copy of the collected sensible user data from smart home. To ensure the security of smart home network, our proposed model utilizes the multivariate correlation analysis technique to analyze the network traffic and identify the correlation between traffic features. We have evaluated the performance of our proposed architecture using different parameters like throughput and discovered that blockchain is an efficient security solution for the future Internet of things network.
Three-dimensional force measurements with mandibular overdentures connected to implants by ball-shaped retentive anchors. A clinical study.

The purpose of this in vivo study was to determine maximum and functional forces simultaneously in three dimensions on mandibular implants supporting overdentures. The anchorage system for overdenture connection was the ball-shaped retentive anchor. Five edentulous patients, each with two mandibular ITI implants, were selected as test subjects. A novel miniaturized piezo-electric force transducer was developed for specific use with ITI implants. Force magnitudes and directions were registered under various test conditions by means of electrostatic plotter records. The test modalities were maximum biting in centric occlusion, maximum biting on a bite plate, grinding, and chewing bread. Maximum forces measured in centric occlusion and on the ipsilateral implant when using a bite plate were slightly increased in vertical and backward-forward dimension (z-, y-axis) compared to the lateral-medial direction (x-axis). On the contralateral implant, equally low values were found in all three dimensions. This may be the effect of a nonsplinted anchorage device. With the use of a bite plate, force magnitudes on the ipsilateral implant were significantly higher on the z- and y-axis than mean maximum forces in centric occlusion (P < .001). Chewing and grinding resulted in lower forces compared to maximum biting, particularly in the vertical direction. The transverse force component in backward-forward direction, however, reached magnitudes that exceeded the vertical component by 100% to 300% during chewing function. This chewing pattern had not been observed in previous investigations with bars and telescopes, and therefore appears to be specific for retentive ball anchors. The prevalent or exclusive force direction registered on both implants in the vertical direction was downward under all test conditions. In the transverse direction during maximum biting the forward direction was more frequently registered, while no obvious prevalence of transverse force direction was observed during chewing and grinding.
Practice of Epidemiology Estimation of the Standardized Risk Difference and Ratio in a Competing Risks Framework : Application to Injection Drug Use and Progression to AIDS After Initiation of Antiretroviral Therapy

There are few published examples of absolute risk estimated from epidemiologic data subject to censoring and competing risks with adjustment for multiple confounders. We present an example estimating the effect of injection drug use on 6-year risk of acquired immunodeficiency syndrome (AIDS) after initiation of combination antiretroviral therapy between 1998 and 2012 in an 8-site US cohort study with death before AIDS as a competing risk. We estimate the risk standardized to the total study sample by combining inverse probability weights with the cumulative incidence function; estimates of precision are obtained by bootstrap. In 7,182 patients (83% male, 33% African American, median age of 38 years), we observed 6-year standardized AIDS risks of 16.75% among 1,143 injection drug users and 12.08% among 6,039 nonusers, yielding a standardized risk difference of 4.68 (95% confidence interval: 1.27, 8.08) and a standardized risk ratio of 1.39 (95% confidence interval: 1.12, 1.72). Results may be sensitive to the assumptions of exposure-version irrelevance, nomeasurement bias, and no unmeasured confounding. These limitations suggest that results be replicated with refined measurements of injection drug use. Nevertheless, estimating the standardized risk difference and ratio is straightforward, and injection drug use appears to increase the risk of AIDS.
An application of the Linear Logistic Test Model for the construction of a Fluid Intelligence Test

El presente artículo tiene como objetivo poner a prueba —a través del uso de un modelo logístico lineal (LLTM, por sus siglas en inglés)— un conjunto de operaciones cognitivas (reglas), que influencian la dificultad de los ítems de un test de inteligencia fluida en diferentes muestras de estudiantes. En el Estudio 1, estudiantes de colegios (n = 1751) fueron asignados al azar a una muestra “estudio” o a una muestra “validación”. La primera sirvió para poner a prueba el conjunto de reglas propuestas como variables, que podrían afectar la dificultad de los ítems, y la segunda permitió recolectar evidencias de validez de dichas reglas. En el Estudio 2, se reclutaron estudiantes de universidad (n = 162), esto para determinar si la influencia de las reglas sobre el nivel de dificultad de los ítems podía generalizarse a este nuevo grupo. El Estudio 1 aporta evidencias acerca de la validez del conjunto de operaciones cognitivas que subyacen al proceso de resolución de los ítems, mientras que el Estudio 2 sugiere diferencias individuales en las estrategias de resolución de las personas examinadas. La misma estrategia de análisis podría ser aplicada a la construcción de otros tests. Asimismo, podría ayudar a personas educadoras, investigadoras y tomadoras de decisiones en su búsqueda de disponer de instrumentos cada vez más depurados.
Hybrid model for forecasting space-time data with calendar variation effects

The aim of this research is to propose a new hybrid model, i.e. Generalized Space-Time Autoregressive with Exogenous Variable and Neural Network (GSTARX-NN) model for forecasting space-time data with calendar variation effect. GSTARX model represented as a linear component with exogenous variable particularly an effect of calendar variation, such as Eid Fitr. Whereas, NN was a model for handling a nonlinear component. There were two studies conducted in this research, i.e. simulation studies and applications on monthly inflow and outflow currency data in Bank Indonesia at East Java region. The simulation study showed that the hybrid GSTARX-NN model could capture well the data patterns, i.e. trend, seasonal, calendar variation, and both linear and nonlinear noise series. Moreover, based on RMSE at testing dataset, the results of application study on inflow and outflow data showed that the hybrid GSTARX-NN models tend to give more accurate forecast than VARX and GSTARX models. These results in line with the third M3 forecasting competition conclusion that stated hybrid or combining models, in average, yielded better forecast than individual models.