Miracle-dz/UniFAR-FTUs huggingface dataset:
Decreasing the problematic use of an information system: An empirical investigation of smartphone game players

Based on protection motivation theory, this study aims to identify factors that influence the intention to decrease problematic smartphone game use, including the effects of a gaming habit and subjective norms. The research model is tested with a scenario‐based survey method. Players' perceived threat refers to the negative consequences (eg, reduced performance or social isolation) that are caused by problematic smartphone game use. The findings indicate that under high fear appeals, threat appraisal creates fearful emotions about suffering from the negative consequences, which further reduces the gaming habit and activates the intention to decrease use. Self‐efficacy in decreasing game playing, the response efficacy of decreasing usage in avoiding the threat and subjective norms effectively promote users' intention to decrease use. Moreover, response costs reduce the intention to decrease use. The findings provide insights into how to activate users' intention to decrease problematic use, and the resulting implications are discussed.
Role of Transforming Growth Factor-β1 in Cardiovascular Inflammatory Changes Induced by Chronic Inhibition of Nitric Oxide Synthesis

Abstract —We previously reported that chronic inhibition of nitric oxide (NO) synthesis with N ω -nitro-l-arginine methyl ester (L-NAME) induces inflammatory changes (monocyte infiltration, myofibroblast formation, and monocyte chemoattractant protein-1 [MCP-1] and transforming growth factor-β1 [TGF-β1] expression) in the rat heart and vessel. There is debate regarding whether TGF-β1 exhibits proinflammatory or anti-inflammatory activities. We used the rat model to investigate the role of TGF-β in the pathogenesis of such inflammatory changes. We show here that infiltrating monocytes and myofibroblasts in the inflammatory lesions produced TGF-β1 on the third day of L-NAME administration. Cotreatment with a monoclonal antibody against TGF-β1, but not with control IgG, prevented the L-NAME–induced cardiac inflammation. The antibody also significantly inhibited the gene expression of MCP-1, P-selectin, and intercellular adhesion molecule-1. In summary, the antibody against TGF-β1 prevented inflammatory changes in rat heart and vessel induced by chronic inhibition of NO synthesis, suggesting that increased production of TGF-β1 is involved in the inflammatory changes in this model.
Synthesizing Privacy Preserving Traces: Enhancing Plausibility With Social Networks

Due to the popularity of mobile computing and mobile sensing, users’ traces can now be readily collected to enhance applications’ performance. However, users’ location privacy may be disclosed to the untrusted data aggregator that collects users’ traces. Cloaking users’ traces with synthetic traces is a prevalent technique to protect location privacy. But the existing work that synthesizes traces suffers from the social relationship based de-anonymization attacks. To this end, we propose <inline-formula> <tex-math notation="LaTeX">$W^{3}{-}tess$ </tex-math></inline-formula> that synthesizes privacy-preserving traces via enhancing the <italic>plausibility</italic> of synthetic traces with social networks. The main idea of <inline-formula> <tex-math notation="LaTeX">$W^{3}{-}tess$ </tex-math></inline-formula> is to credibly imitate the temporal, spatial, and social behavior of users’ mobility, sample the traces that exhibit similar three-dimension mobility behavior, and synthesize traces using the sampled locations. By doing so, <inline-formula> <tex-math notation="LaTeX">$W^{3}{-}tess$ </tex-math></inline-formula> can provide “<italic>differential privacy</italic>” on location privacy preservation. In addition, compared to the existing work, <inline-formula> <tex-math notation="LaTeX">$W^{3}{-}tess$ </tex-math></inline-formula> offers several salient features. First, both location privacy preservation and data utility guarantees are theoretically provable. Second, it is applicable to most geo-data analysis tasks performed by the data aggregator. Experiments on two real-world datasets, loc-Gwalla and loc-Brightkite, have demonstrated the effectiveness and efficiency of <inline-formula> <tex-math notation="LaTeX">$W^{3}{-}tess$ </tex-math></inline-formula>.
Resource Description and Access (RDA): enhancing information discovery through effective description

Rationale of Study – Resource Description and Access (RDA) is the new cataloguing content standard providing instructions and guidelines for creating effective bibliographic data for information resources in all formats of content and media. It replaces the Anglo-American Cataloguing Rules, 2nd edition (AACR-2). This paper seeks to draw the attention of librarians to RDA as a means of promoting its application. Methodology – This study was conducted as a literature review analysing the origins and rationale of RDA, its structure, benefits, relationship with AACR-2, and how to implement it in libraries in developing countries such
Diagnosis, epidemiology, and risk factors

Definitions Cardiogenic shock is a state of decreased cardiac output and systemic perfusion in the presence of adequate intravascular volume, resulting in tissue hypoxia [1]. As early as 1912, Herrick described the clinical features of cardiogenic shock in patients with severe coronary artery disease: a weak, rapid pulse; feeble cardiac tones; pulmonary rales; dyspnea; and cyanosis [2]. The term cardiogenic shock is believed to have been originated in 1942 by Stead [3]. He described a series of two patients who had what he called “shock of cardiac origin. ” Later, the expression was rephrased as “cardiogenic shock. ” The severity of shock can range from mild to severe, and practical definitions use somewhat arbitrary criteria. An essential feature of cardiogenic shock is systemic hypoperfusion, typically with hypotension; however, there is great variability in the severity of hypotension that defines shock, with the most common cut-off points for systolic blood pressure being <90 mm Hg or <80 mm Hg [4,5]. Patients with shock typically have signs of systemic hypoperfusion, including altered mental state, cool skin, and/or oliguria. Rales, indicating pulmonary edema, may or may not be present. Neither auscultation nor chest radiograph detects pulmonary edema in 30% of patients with cardiogenic shock [6]. The method used to measure blood pressure may also be important. Brachial cuff pressure measurements are often inaccurate in states of shock. Arterial blood pressure is more accurately monitored using intra-arterial cannulas; thus, this method is commonly advocated to ensure precise measurement.
A Case of Coinfection of Hepatitis A and E Virus with Hepatic Encephalopathy

With recent hygienic improvements in Korea, the occurrence of overt acute viral hepatitis A in adults is increasing. Acute viral hepatitis E, which has seldom been reported, has also been increasing in Korea over the past few years. Reports regarding coinfection of hepatitis A virus (HAV) and hepatitis E virus (HEV) and their clinical courses are very rare. Acute hepatitis A is usually improved by conservative management, but coinfection of HAV and HEV may lead to severe forms of disease. When a patient with acute hepatitis A presents with an atypical clinical course such as hepatic encephalopathy, HEV infection, which has identical transmission routes to HAV, must be considered. We report a case of coinfection of HAV and HEV with hepatic encephalopathy. (Korean J Med 2011;80:S101-S105)
Two-Stage Parameter Design Methodology of a Generalized Resonant DC Transformer in Hybrid AC/DC Microgrid With Optimum Active Power Transmission

A semiregulated high-frequency resonant dc transformer (DCT) is usually recommended to work at its resonant frequency to ensure the desired active power transmission ratio (APTR) with stable voltage conversion gain (VCG) for hybrid ac/dc microgrid. Therefore, appropriately designed resonant parameters are vital in the DCT to acquire the required APTR and VCG under the changing power, temperature, and so on. However, the existing parameter design approach is not general enough to cover different resonant DCT topologies and it becomes rather complex with the increasing number of unknown parameters. To address this concern, a simplified two-stage parameter design methodology is proposed in this article by considering the parameter variation to optimize the APTR on the premise of satisfied VCG. First, a generalized resonant CLLC-type DCT (GCLLC-DCT) is established to cover CLL, LLC, symmetrical CLLC, as well as asymmetrical CLLC topologies. Afterward, based on the design requirements to maximize APTR under stable VCG, the design criteria are presented by analyzing the variation range of the designed intermediated parameters. Subsequently, a two-stage parameter design method is illustrated and facilitated with an example of a DCT prototype based on a simple MATLAB-assisted procedure. Finally, the proposed method is validated by experimental tests.
The Translation Procedures of Bible Translation

Different procedures of translation are needed to analyze new testament bible of Mark’s gospel. The problems always come if new testament bible of Mark’s gospel from source language unknown in target language conceptly. The data sources of this research were taken from new testament of Mark’s gospel. The technique used in collecting the data was content analysis. The data were analyzed clearly based on the theory of translation procedures by Newmark (1988b). In presenting the data, it was used formal and informal method. According to the results, it can be concluded that found 11 procedures of translation, namely: Transference, Cultural Equivalent, Functional Equivalent, Descriptive Equivalent, Synonymy, Shifts or Transpositions, Modulation, Compensation, Paraphrase, Couplets, and Notes. Based on the results of the analysis, it was not found 4 procedures of translation, namely: Naturalization, Componential Analysis, Through-Translation, and Recognized Translation. The procedures of translation in new testament bible of Mark’s gospel mostly used were shifts or transposition, modulation, and synonymy. The data of shifts or transposition found were 136 of 636 data (21%). It can be concluded that actually holy text often applied shifts or transposition to make the process of translating text easily. In the other word, it was used different form from source text to translate into target text and it was applied also the words in target text that has similar meaning in source text,
Hematopoietic bone marrow recovery after radiation therapy: MRI evaluation

Magnetic resonance imaging (MRI) is able to detect the increase of adipocytes in the hematopoietic bone marrow that occurs as a consequence of radiotherapy and is indicative of the loss of myeloid tissue. By monitoring this process, it is also possible to determine the recovery of the bone marrow. The amount of viable hematopoietic tissue plays a fundamental role in determining whether the patient is able to undergo further antineoplastic therapy, particularly chemotherapy. We examined 35 patients who had been treated with radiotherapy for Hodgkin's lymphoma (12), uterine cervix carcinoma (nine), ovarian dysgerminoma (six), testicular seminoma (four), and non- Hodgkin's lymphoma (four). We observed that radiation-induced modifications of the MRI pattern in the bone marrow are tightly linked to two parameters; the administered radiation dose and the length of time passed after the treatment. Bone marrow recovery was observed only when patients were treated with doses lower than 50 Gy. The earlier radiation-induced modifications of the bone marrow MRI pattern occurred 6 to 12 months after irradiation, and they were most evident 5 to 6 years after the treatment. From 2 to 9 years after radiotherapy, we observed partial recovery. Complete recovery, when it occurred, was observed only 10 to 23 years after the treatment. Our results indicate that MRI studies are likely to be useful in the assessment of radiation- induced injuries.
Feature transformations for improving the performance of selection hyper-heuristics on job shop scheduling problems

Solving Job Shop (JS) scheduling problems is a hard combinatorial optimization problem. Nevertheless, it is one of the most present problems in real-world scheduling environments. Throughout the recent computer science history, a plethora of methods to solve this problem have been proposed. Despite this fact, the JS problem remains a challenge. The domain itself is of interest for the industry and also many operations research problems are based on this problem. The solution to JS problems is overall beneficial to the industry by generating more efficient processes. Authors have proposed solutions to this problem using dispatching rules, direct mathematical methods, meta-heuristics, among others. In this research, the application of feature transformations for the generation of improved selection constructive hyper-heuristics (HHs) is shown. There is evidence that applying feature transformations on other domains has produced promising results; Also, no previous work was found where this approach has been used for the JS domain. This thesis is presented to earn the Master’s degree in Computer Science of Tecnológico de Monterrey. The research’s main goals are: (1) the assessment of the extent to which HHs can perform better on JS problems than single heuristics, and that they are not specific to the instances used to train them; and (2), the degree to which HHs generated with feature transformations are revamped. Experiments were carried out using instances of various sizes published in the literature. The research involved profiling the set of heuristics chosen, analyzing the interactions between the heuristics and feature values throughout the construction of a solution, and studying the performance of HHs without transformations and by using two transformations found in the literature. Results indicate that for the instances used, HHs were able to outperform the results achieved by single heuristics. Regarding feature transformations, it was found that they induce a scaling effect to feature values throughout the solution process, which produces more stable HHs, with a median performance comparable to HHs without feature transformations, but not necessarily better. Results are conclusive in terms of the objectives of this research. Nevertheless, there are several ideas that could be explored to improve the HHs, which are outlined and discussed in the final Chapter of the thesis. The following major contributions are derived from this research: (1) applying a selection constructive HH approach, with feature transformations, to the JS domain; (2) the rationale behind the JS subproblem dependance in terms of the solution paths followed by the heuristics, which has a great impact in the training process of the HHs; (3) a method to determine the most suitable parameters to apply feature transformations, which could be extended for other domains of combinatorial optimization problems; and (4) a framework for studying HHs in the Job Shop domain.
Lymph node detection method based on multisource transfer learning and convolutional neural network

Recently years, convolutional neural networks (CNNs) have proven to be powerful tools for a broad range of computer vision tasks. However, training a CNN from scratch is difficult because it requires a large amount of labeled training data, which remains a challenge in medical imaging domain. To this end, deep transfer learning (TL) technique is widely used for many medical image tasks. In this paper, we propose a novel multisource transfer learning CNN model for lymph node detection. The mechanism behind it is straightforward. Point‐wise (1 × 1) convolution is used to fuse multisource transfer learning knowledge. Concretely, we view the transferred features as priori domain knowledge and 1 × 1 convolutional operation is implemented after pre‐trained convolution layers to adaptively combine the transfer information for target task. In order to learn non‐linear transferred features and prevent over‐fitting, we present an encode process for the pre‐trained convolution kernels. At last, based on convolutional factorization technique, we train the proposed CNN model and the encoder process jointly, which improves the feasibility of our approach. The effectiveness of the proposed method is verified on lymph node (LN) dataset: 388 mediastinal LNs labeled by radiologists in 90 patient CT scans, and 595 abdominal LNs in 86 patient CT scans for LN detection. Our method demonstrates sensitivities of about 85%/71% at 3 FP/vol. and 92%/85% at 6 FP/vol. for mediastinum and abdomen respectively, which compares favorably to previous methods.
Nutritional status and dental caries of schoolchildren from Sobral-Ceará Estado nutricional E cárie dentária em pré-escolares no município de Sobral-Ceará

Objective: To examine the relationship between nutritional status and dental caries of schoolchildren from Sobral, Ceará, Braszil. Methods: Dental health and nutritional status of 92 children studying in two different schools and aging 5 years old were evaluated. The nutritional status was evaluated using the Body Mass Index (BMI), and the dental health status was evaluated using the Decayed, Missing, and Filling Tooth Index (DMFT-index). An interview with the parents of the children was also performed to investigate the socioeconomic profile and nutritional habits of the children. Results: A DMFT-index of 1.97 was found, and 39.6% of the children presented overweight. Higher prevalence of dental caries was associated with low income, public schools, and less schooled parents. The variable overweight presented the inverse situation found for dental caries. Moreover, it was observed lower prevalence of caries in overweight children. Conclusion: Dental caries and nutritional status exhibited different behaviors in the population studied, which were driven by the sociodemographic profile of the family. Indexing terms: Child preschool. Dental caries. Obesity.
Cluster detection in spatial data using marked point processes

This paper proposes a marked point process approach for cluster detection in spatial data. The cluster pattern is supposed made of random interacting disks. The proposed model has two components. The first component is related to the location of the disks in the data field, and it is defined as an inhomogeneous Poisson process. The second one is related to the interaction between disks and it is constructed by the superposition of an area-interaction and a pairwise interaction processes. The model is tested on spatial data coming from animal epidemiology. Statistical descriptors of the cluster are given. These descriptors are the sufficient statistics of the proposed model. 2000 Mathematics Subject Classification: 60G55, 60J22, 62M30, 62M40
A-Local Degree via Stacks

We extend results of Kass–Wickelgren to define an Euler class for a non-orientable (or nonrelatively orientable) vector bundle on a smooth scheme, valued in the Grothendieck–Witt group of the ground field. We use a root stack construction to produce this Euler class and discuss its relation to other versions of an Euler class in A-homotopy theory. This allows one to apply Kass–Wickelgren’s technique for arithmetic enrichments of enumerative geometry to a larger class of problems; as an example, we use our construction to give an arithmetic count of the number of lines meeting 6 planes in P.
FOXP3, RORγt and IL-10 cytokine profi le in chronic heart failure

BACKGROUND: Distinct subsets of T cells play crucial regulatory roles in infl ammatory processes of chronic heart failure (CHF). Retinoic acid receptor-related orphan receptor-γt (Ror-γt) and Forkhead box P3 (Foxp3) have been defi ned as the “master regulators” of Th17 cells and Treg cells, respectively. At the same time, antiinfl ammatory cytokines such as IL-10 may neutralize infl ammation in CHF. The current study was designed to compare FOXP3, RORγt and IL-10 protein expression in the blood and IL-10 in supernatant PBMCs in CHF patients versus normal subjects. PATIENTS AND METHODS: Our study population consisted of 42 patients with CHF in four different function classes and 42 healthy subjects who served as controls. RNA extraction and cDNA synthesis was performed and mRNA expression for genes FOXP3, RORγt, IL-10 was determined by RT-PCR. The amount of IL-10 protein in supernatant of PBMCs was measured by ELISA technique. RESULTS: There was no signifi cant difference in FOXP3, RORγt, IL-10 protein expression and supernatant PBMCs IL-10 in CHF patients as compared to control. The level of Foxp3 was signifi cantly lower in CHF patients with ischemic vs non-ischemic cause (p = 0.04). DISCUSSION: Although infl ammation plays a central role in the pathophysiology of CHF, the roles of FOXp3, RORγt, and IL-10 remain to be determined (Tab. 3, Ref. 33). Text in PDF www.elis. sk.
Investigation of Gp x 1 Gene Expression , Serum Gpx 1 and Selenium

Copyright © 2019 Marmara University Press DOI:10.5152/clinexphealthsci.2018. 1239 Clin Exp Health Sci 2019; 9: 63-68 ISSN:2459-1459 ABSTRACT Objective: Colorectal cancer is one of the first lines when examined the death cause of cancer. It is well known that family history, and racial and ethnic background and daily life are related with colorectal cancer and its treatment options are surgery, chemotherapeutic agents, and radiotherapy. One of the factors that play a critical role in the development of colorectal cancer is the oxidative stress. In this research, we aimed to investigate the association of level of glutathione peroxidase 1 (GPX1) and selenium element with colon cancer. Methods: In this study, we aimed to determine expression levels of GPX1 genes and selenium that maintain protection against oxidative stress, with 35 colon cancer patients and their normal and tumor tissues associated with clinical and prognostic aspects by using qRT-PCR and atomic absorption methods. Results: The results of our study showed that GPX1 gene expression were found to be statistically significantly different (two-fold greater in normal tissue; p < 0.05) between normal and tumor tissue. Although there was a positive correlation between serum GPX1 and selenium levels and increase in expression of GPX1 gene and serum GPX1 levels, there was no statistical significance (p>0,05). Conclusion: Colorectal cancer, that many factors are involved in its etiology, we have found that our preliminary studies results might show the potential role of association between GPX1 gene expressions and selenium levels. For this reason, it has been suggested that the subject should be supported by a large-scale group of patients.