Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the effect of user satisfaction and business intelligence system usage on individual job performance

Business intelligence systems are in widespread use today due to the many business benefits. Users are one of the key stakeholders in the business intelligence process. For optimal system adaptation, the user should be able to interact with the application in order to improve its capacity to contribute to decision-making. For the business intelligence process itself to be effective, it is necessary to define the user needs regardless of the type of work they do. If the user is satisfied and thinks that the system improves his/her performance or the quality of decisions made, they will want to use it even more. System usage has sometimes been viewed as a direct reflection of system performance; however, this is difficult to define in organizations where system usage is mandatory. Business intelligence systems are especially mandatory to use, as they are used in large organizations and require greater investment than other systems. This is why it is important to investigate the nature of system usage and its impact on individual performance. This research model deals with determinants that represent dimensions of the information system's success theory. Those determinants are: user satisfaction, intention to use, system usage, and individual performance. Obtained results show that increased user satisfaction and intention to use, lead to increased system usage and that both the increase in user satisfaction and system usage lead to a rise in individual user performance.
Calibration procedure for irradiation tests on silicon devices

The problems of dosimetry encountered during irradiation tests on silicon devices using different radiation sources are discussed. The use of the p-i-n diode BPW 34 from Siemens as a calibration device is described. Its response and limitations at different radiation environments, bias voltages, and integrated absorbed doses are discussed. The experimental results on the dependence of the photocurrent on the bias voltage fitted with theoretical expectations. >
The ideal sliding dynamics of a stand alone synchronous generator

Summary. The closed loop dynamics of a sliding-mode controlled stand alone synchronous generator with a resistive load is studiedin this paper. The resulting dynamics is piecewise continuous, robust in front of parameter and load variations and performs a goodregulation of the output variable. In the ideal case we can ﬁnd limit cycles th at may remain when actuators saturation effects areconsidered. Along the paper, numerical simulations and experimental results illustrate the complexity of the encountered behavior. Introduction This paper deals with the analysis of the closed loop dynamics of a sliding mode controlled stand-alone wound rotorsynchronous generator (WRSG) feeding a resistive load [1]. As reported in [2], sliding mode control is an appropriatetechnique to control electrical machines because the actuators are power converters which supply the electrical machinewith discontinuous voltages. Based on this, a discontinuous control algorithm was presented in [1]. Furthermore, thatcontrol law offered some advantages: it is an output feedback algorithm, easy to implement and cheap in terms of compu-tational time. The designed controller yields a closed loop dynamics that leaves invariant a subset of a cylinder on whichthere are two locally asymptotically stable equilibrium points. However, the full dynamics is complex and this complexityincreases when some constrains of the actual WRSG are considered.The paper is organized as follows: next Section summarizes the system description and the control design procedureobtained in [1]. Local stability is proved and the basin of attraction is determined. A more real scenario, consideringbounds in the value of the voltages applied to the WRSG is analyzed, and experimental results are presented. Finally, theconclusions are drawn.
Resolution and Doppler Tolerance of Cognitive System Waveforms

Modern intelligent data acquisition systems use spread-spectrum waveforms and sensor systems with varying parameters according to the state of environment and objects to be tracked. Cognitivity allows the system to adapt to particular objects and environment, therefore increasing object detection probability and measurement accuracy (distance to objects, speed and resolution). This paper discusses the possible future development of a cognitive system with dynamic spread-spectrum waveform design. The active data acquisition system modeling results will provide information about the suitability of proposed waveforms and reception algorithms concerning Doppler tolerance and noisy environment. The devised methods could be implemented in sounding equipment prototypes for further studies. Theoretical and experimental results will be compared and evaluated.
Primary acinic cell carcinoma of the breast is associated with a poor outcome: A case report and literature review

Primary acinic cell carcinoma (AcCC) is a rare histological type of malignant breast cancer. AcCC was first identified as an entity in 1996, and since then 51 cases have been reported in the literature. The first early case reports and reviews suggested a relatively favourable prognosis for patients with AcCC; however, reports of AcCC recurrent disease have been more recently described in a subset of patients with high-grade disease. The present case report describes an unusual case of estrogen receptor-negative AcCC of the breast in a 59-year-old woman who did not respond to neoadjuvant chemotherapy (NACT), despite imaging revealing a large reduction in tumour volume. Furthermore, 14 months after NACT completion, the patient presented with disease progression comprising peritoneal involvement and linitis plastica. The patient started on first-line chemotherapy with carboplatin and paclitaxel combination, achieving a notable and prolonged response. After 2.5 years and while still on carboplatin and paclitaxel, the patient developed leptomeningeal carcinomatosis disease (LD) and died 6 weeks after LD presentation. The present report is the third case of AcCC in which cancer-associated death was registered. As studies on large series are lacking, further investigations are required to identify predictors of poor outcome. Notably, the prolonged response achieved to first-line chemotherapy suggested that platinum and taxane compounds may offer a potential therapeutic benefit for patients with AcCC. Moreover, the present case report highlights the importance of careful interpretation of follow-up imaging, as an apparent positive response to treatment may not always be a true representation of disease.
A Comprehensive Assessment of Genetic and Epigenetic Alterations Identifies Frequent Variations Impacting Six Prototypic SCF Complex Members

The SKP1, CUL1, F-box protein (SCF) complex represents a family of 69 E3 ubiquitin ligases that poly-ubiquitinate protein substrates marking them for proteolytic degradation via the 26S proteasome. Established SCF complex targets include transcription factors, oncoproteins and tumor suppressors that modulate cell cycle activity and mitotic fidelity. Accordingly, genetic and epigenetic alterations involving SCF complex member genes are expected to adversely impact target regulation and contribute to disease etiology. To gain novel insight into cancer pathogenesis, we determined the prevalence of genetic and epigenetic alterations in six prototypic SCF complex member genes (SKP1, CUL1, RBX1, SKP2, FBXW7 and FBXO5) from patient datasets extracted from The Cancer Genome Atlas (TCGA). Collectively, ~45% of observed SCF complex member mutations are predicted to impact complex structure and/or function in 10 solid tumor types. In addition, the distribution of encoded alterations suggest SCF complex members may exhibit either tumor suppressor or oncogenic mutational profiles in a cancer type dependent manner. Further bioinformatic analyses reveal the potential functional implications of encoded alterations arising from missense mutations by examining predicted deleterious mutations with available crystal structures. The SCF complex also exhibits frequent copy number alterations in a variety of cancer types that generally correspond with mRNA expression levels. Finally, we note that SCF complex member genes are differentially methylated across cancer types, which may effectively phenocopy gene copy number alterations. Collectively, these data show that SCF complex member genes are frequently altered at the genetic and epigenetic levels in many cancer types, which will adversely impact the normal targeting and timely destruction of protein substrates, which may contribute to the development and progression of an extensive array of cancer types.
PREDICTIVE FACTORS FOR SELF-REPORTED OCCUPATIONAL INJURIES AT 3 MANUFACTURING PLANTS

The aim of the present study is to investigate the predictive validity of the Danish Safety Culture Questionnaire on retrospective and prospective self-reported occupational injuries in a sample of workers in the manufacturing industry. A total of 765 workers at 3 different manufacturing plants completed the questionnaire comprised of leadership, organizational and worker factors. The occurrence of self-reported injuries was reported twice: at the same time as the safety climate measures (retrospective) and secondly one year later (prospective). The strength of the association between the safety climate scores and the self-reported injuries was used as a measure of their predictive validity. 278 (36%) and 288 (41%) of the 765 participants reported experiencing at least one occupational injury during the previous and the preceding year respectively. Logistic regression showed that positive safety climate was associated with fewer injuries. The strongest association was found with the prospective self-reported injuries where all 6 safety climate dimensions reached significance whereas retrospectively, the associations were weaker and only significant for 2 of the safety climate dimensions.
Multiobjective distributed generation placement using fuzzy goal programming with genetic algorithm

This paper presents a new method to determine the locations and sizes of Distributed Generations (DGs) for loss reduction and voltage profile enhancement in distribution systems. The strategic placement of DG can help reduce power losses and improve feeder voltage profile. Fuzzy Goal Programming (FGP) is adopted to handle the multiobjective DG placement problem incorporating the voltage characteristics of each individual load component. The original objective functions and constraints are transformed into the multiobjective function with fuzzy sets by FGP. The transformed multiobjective function with fuzzy sets represents the imprecise natures for criterion of loss reduction and voltage profile enhancement, and the number and total capacities of DGs. The solution of the transformed multiobjective function with fuzzy sets is searched by Genetic Algorithm (GA). The proposed method is tested on the IEEE 34-bus system to demonstrate its effectiveness. Copyright © 2008 John Wiley & Sons, Ltd.
EFFECTS OF LOWER BODY COMPRESSION GARMENT IN MUSCLE OSCILLATION AND TISSULAR INJURY DURING INTENSE EXERCISE

This study meant to evaluate if compression garments have a protector effect on muscular injury. Nine active males participated in the study ([mean ± SD] age 27.7 ± 10.9 years; height 176.8 ± 3.6 cm; weight 76.1 ± 6.1 kg). Subjects performed a 40 min running test at the velocity of their anaerobic threshold with a negative steep of –10% wearing shorts with compression in one leg and no compression in the other leg using a balanced, randomised design. Muscular displacement was evaluated using a 3D analysis. Tissue damage was assessed by a muscular biopsy performed 48h after the running test. Results indicate a significantly higher muscular displacement in the leg with no compression and an increased muscular damage. This indicates that compression shorts have a protective effect on muscle.
Relation between transmission lines coupling factor and over head earth wire length: its impacts on fault current distributions

High voltage (HV) transmission mains form important assets in electrical networks. The existence of this infrastructure within the community necessitates effective earthing design to ensure safety compliance. Overhead earth wire (OHEW) forms parts of the HV transmission mains, as such the OHEW plays an important role when it comes to fault current distributions. The existence of the OHEW introduces the coupling factor between the faulted phase and the OHEW. These coupling factor aides in further reducing the fault current percentage into the substation earth grid. If the OHEW is continuous and infinite between substations, 100% of the coupling factor applies. Under the condition where the OHEW is non-continuous and finite, the coupling factor will not be to the full effect. This study endeavours to provide information in regards to the coupling factor under substation faults for a continuous and non-continuous OHEW. Furthermore, the relation between the coupling factor and the length of the OHEW is established. For the finite condition, the impact on the pole grid current and the length of the OHEW is discussed. The study shows the advanced accuracy of the proposed new method with respect to the existing research methods. A case study is also included.
Matlab en el aprendizaje de la cinemática en estudiantes de Ingeniería Civil

Actualmente la cátedra universitaria puede utilizar recursos tecnológicos para generar aprendizajes significativos, por ello el propósito de la investigación fue demostrar la eficacia del matlab en el aprendizaje de la cinematica en estudiantes universitarios. Se trabajó bajo un enfoque cuantitativo, con un tipo de investigación experimental. La población estuvo constituida por catorce estudiantes del segundo ciclo de Ingeniería Civil durante el año académico 2019. Los resultados muestran que el Matlab es eficaz en el aprendizaje de la cinemática, sobre todo en la dimensión de resolución de problemas e indagación científica y no significativo en la dimensión teórico conceptual.
PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching

Graph neural networks (GNNs) have been emerging as powerful learning tools for unstructured data and successfully applied to many graph-based application domains. Sampling-based GNN inference is commonly adopted in existing graph learning frameworks to handle large-scale graphs. However, this approach is restricted by the problems of redundant vertex embedding computation in GPU and inefficient loading of vertex features from CPU to GPU. In this paper, we propose PCGraph, a system that supports adaptive GNN inference and feature partition caching. PCGraph significantly reduces the vertex embedding computation time by adaptive GNN inference technology, which selects the optimal inference algorithm and minimizes vertex embedding computation. PCGraph also reduces the redundant data transfer between the CPU and GPU by partition the target vertices and caching their corresponding partitions in turn. We evaluate PCGraph against two state-of-the-art industrial GNN frameworks, i.e., PyG and DGL, on a diverse array of benchmarks. Experimental results show that PCGraph reduces up to 99% vertex embedding computation and 98.5% data loading time, and achieves up to 360× performance speedup over the state-of-the-art baselines.
Bayesian networks: generating independent samples

Abstract Given a Bayesian network with evidence, we propose an efficient majorizing function for the Acceptance-Rejection method to generate a sequence of independent samples from the posterior distribution. Because the proposed method generates independent samples, it has none of the problems associated with MCMC. The sequence allows for the easy calculations of the confidence intervals for the posterior quantities of interest. It can also yield independent inputs for the simulations of a bigger probabilistic system that includes the BN.
Applying Artificial Intelligence in CRM: Case Studies of Intelligent Virtual Agents and Pegasystems

It is highly technical and specialized for AI research, and deeply divided into subfields that often fail to communicate with each other. Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. Currently, in the form of applications of AI, is slowly making its way out of laboratories into the mainstream market. The study reviews AI and CRM, the evolution of CRM: XRM, the applications of AI in CRM including customer support automation, automated online assistant and online and telephone customer service. Finally, the study examines the applications of AI in CRM via two case studies of Intelligent Virtual Agents (IVAs) and Pegasystems to link the theories and practices.
Fabry-Perot intensity modulator with integrated Bragg reflectors in Ti:LiNbO3

A Fabry-Perot electro-optic intensity modulator in Ti:LiNbO3 utilising surface integrated Bragg reflectors is demonstrated. A modulation depth of 96% at 1542 nm wavelength is obtained, with a voltage-length product value which is a factor of 4.4 smaller than for a polarisation intensity modulator of the same switching voltage.
A Panel of Kaposi’s Sarcoma-Associated Herpesvirus Mutants in the Polycistronic Kaposin Locus for Precise Analysis of Individual Protein Products

Kaposi’s sarcoma-associated herpesvirus (KSHV) expresses high levels of the kaposin transcript during both latent and lytic phases of replication. Due to its repetitive, GC-rich nature and polycistronic coding capacity, until now no reagents existed to permit a methodical analysis of the role of individual kaposin proteins in KSHV replication. ABSTRACT Kaposi’s sarcoma-associated herpesvirus (KSHV) is the cause of several human cancers, including the endothelial cell (EC) malignancy, Kaposi’s sarcoma. Unique KSHV genes absent from other human herpesvirus genomes, the “K-genes,” are important for KSHV replication and pathogenesis. Among these, the kaposin transcript is highly expressed in all phases of infection, but its complex polycistronic nature has hindered functional analysis to date. At least three proteins are produced from the kaposin transcript: Kaposin A (KapA), B (KapB), and C (KapC). To determine the relative contributions of kaposin proteins during KSHV infection, we created a collection of mutant viruses unable to produce kaposin proteins individually or in combination. In previous work, we showed KapB alone recapitulated the elevated proinflammatory cytokine transcripts associated with KS via the disassembly of RNA granules called processing bodies (PBs). Using the new ΔKapB virus, we showed that KapB was necessary for this effect during latent KSHV infection. Moreover, we observed that despite the ability of all kaposin-deficient latent iSLK cell lines to produce virions, all displayed low viral episome copy number, a defect that became more pronounced after primary infection of naive ECs. For ΔKapB, provision of KapB in trans failed to complement the defect, suggesting a requirement for the kaposin locus in cis. These findings demonstrate that our panel of kaposin-deficient viruses enables precise analysis of the respective contributions of individual kaposin proteins to KSHV replication. Moreover, our mutagenesis approach serves as a guide for the functional analysis of other complex multicistronic viral loci. IMPORTANCE Kaposi’s sarcoma-associated herpesvirus (KSHV) expresses high levels of the kaposin transcript during both latent and lytic phases of replication. Due to its repetitive, GC-rich nature and polycistronic coding capacity, until now no reagents existed to permit a methodical analysis of the role of individual kaposin proteins in KSHV replication. We report the creation of a panel of recombinant viruses and matched producer cell lines that delete kaposin proteins individually or in combination. We demonstrate the utility of this panel by confirming the requirement of one kaposin translation product to a key KSHV latency phenotype. This study describes a new panel of molecular tools for the KSHV field to enable precise analysis of the roles of individual kaposin proteins during KSHV infection.
Spending Response to a Predictable Increase in Mortgage Repayments: Evidence from Expiring Interest-Only Loans

Abstract We study how homeowners' consumption responds to a negative and anticipated disposable income shock: the beginning of the amortization period on interest-only mortgages. We identify spending behavior through an event study approach, by matching loan-level data that covers the universe of Danish mortgages to detailed administrative registries on borrowers. In response to an average increase in installments worth 9% of income, consumption drops by 3% of income, when amortization begins. The reduction in expenditure is persistent. Borrowers who fail to smooth consumption are highly leveraged and likely to be denied a new interest-only loan, upon expiration.
"Intravenous Repetitive Injection of Lidocaine Associated with Pregabalin Enhances Oxidative Stress Parameter in Fibromyalgia Patients’ Blood: A Randomized Trial"

Injection of Lidocaine Associated with Pregabalin Enhances Oxidative Stress Parameter in Fibromyalgia Patients’ Blood: A Randomized Trial. Biomed J Sci & that can reduce nerve signal conduction and consequently attenuate pain. Intravenous repetitive injections have been used to manage chronic pain. Purpose: This study aimed to investigate the effects of repetitive intravenous lidocaine injections associated with pregabalin on oxidative and antioxidant parameters in women with FMS. Methods: Oxidative stress was determined by measuring the levels of GSH, lipoperoxidation, catalase, and superoxide dismutase in the blood of 48 female patients with FMS who were treated with lidocaine or saline. The FIQ and VAS valued clinical parameters of FMS as instruments of valuation of pain. Results: Regarding the Visual Analog Scale (VAS) and Fibromyalgia Impact Questionnaire (FIQ) scores, patients treated with lidocaine/pregabalin (GPL) revealed improvements in the parameter analyzed compared to the initial and final treatment time. Moreover, lidocaine administration significantly increased GSH levels (p<0.001) and non-enzymatic capacity (FRAP, p<0.01) in blood and plasma and decreased lipoperoxidation in blood cells without altering sulfhydryl groups comparing the first and second times of treatment. Conclusion: Lidocaine plus pregabalin significantly stimulated antioxidant defenses and reduced oxidative stress.