Miracle-dz/UniFAR-FTUs huggingface dataset:
Fraud Procurement of Goods and Services A Perspective of the Theory of Planned Behavior

This research adopted the theory of planned behavior to examine the factors affecting the intentions fraudulent procurement of goods and services. The purpose of this research are to examine the effect of attitude toward behavior, subjective norm, and perceived behavioral control on the intentions fraudulent procurement of goods and services. The sample in this study are working group of procurement services units at each city/regency goverment in south borneo. The method of data collection is survey using questionnary as instrument of the research. The ammount of the sample was 316. The data was analysed using Structural Equation Modelling-Partial least square (SEM-PLS) with WarpPLS 6.0. The result of research finds attitude toward behavior, subjective norm, and perceived behavioral control has a positive effect on the intentions fraudulent procurement of goods and services.
Catalysis by RNA

Until the discovery of catalytic RNA, the notion that all enzymes are proteins had seemed incontrovertible. Now the existence of RNA enzymes has been confirmed in a variety of contexts. What is known about the chemistry of RNA‐catalyzed reactions is reviewed below, with particular attention to the self‐splicing rRNA intron of Tetrahymena thermophila and the processing of pre‐tRNA molecules by RNase P.
Knowledge Expiration in Security Awareness Training

This study evaluates the effectiveness of security education, training, and awareness (SETA) programs though the examination of the knowledge expiration process. The prevalence of security threats has led companies to invest more in information security. However, it is questionable how much a single training session could contribute to information security. We examine the knowledge types in a typical training program and measure the "shelf lives" of the knowledge. We find that technical knowledge decays faster than application knowledge, and both types of knowledge evaporate within a month following the training. This paper will contribute to the information security literature by revealing the ineffectiveness of single training sessions in the long run and suggest remedies to ensure consistent security policy compliance.
Sevelamer Improves Steatohepatitis, Inhibits Liver and Intestinal Farnesoid X Receptor (FXR), and Reverses Innate Immune Dysregulation in a Mouse Model of Non-alcoholic Fatty Liver Disease*

Bile acid sequestrants are synthetic polymers that bind bile acids in the gut and are used to treat dyslipidemia and hyperphosphatemia. Recently, these agents have been reported to lower blood glucose and increase insulin sensitivity by altering bile acid signaling pathways. In this study, we assessed the efficacy of sevelamer in treating mice with non-alcoholic fatty liver disease (NAFLD). We also analyzed how sevelamer alters inflammation and bile acid signaling in NAFLD livers. Mice were fed a low-fat or Western diet for 12 weeks followed by a diet-plus-sevelamer regimen for 2 or 12 weeks. At the end of treatment, disease severity was assessed, hepatic leukocyte populations were examined, and expression of genes involved in farnesoid X receptor (FXR) signaling in the liver and intestine was analyzed. Sevelamer treatment significantly reduced liver steatosis and lobular inflammation. Sevelamer-treated NAFLD livers had notably fewer pro-inflammatory infiltrating macrophages and a significantly greater fraction of alternatively activated Kupffer cells compared with controls. Expression of genes involved in FXR signaling in the liver and intestine was significantly altered in mice with NAFLD as well as in those treated with sevelamer. In a mouse model of NAFLD, sevelamer improved disease and counteracted innate immune cell dysregulation in the liver. This study also revealed a dysregulation of FXR signaling in the liver and intestine of NAFLD mice that was counteracted by sevelamer treatment.
Effects of bromocriptine on periodic limb movements in human narcolepsy

We studied the effects of bromocriptine on periodic limb movements in sleep (PLMS) of narcoleptic patients. Bromocriptine significantly reduced the number and index of PLMS without improving the nocturnal sleep disruption in that disorder. These results support the hypothesis that dopaminergic mechanisms are involved in the physiopathology of PLMS, and suggest that PLMS do not play a major role in the nocturnal sleep disruption of narcoleptic patients.
ANALISIS EKONOMI DIGITAL DAN KETERBUKAAN TERHADAP PERTUMBUHAN GDP NEGARA ASEAN

AbstractThe ASEAN Economic Community was formed with the aim of achieving the perfection of economic integration in the ASEAN region which is believed to provide tangible benefits to all elements of society. Opportunities of digital economy and the pollination of each ASEAN country is very important to succeed the purpose of the establishment of The ASEAN Economic Community. This study uses quantitative methods with secondary data by panel period 2012-2016 by combining 10 ASEAN countries (Indonesia, Malaysia, Singapore, Thailand, Philippines, Vietnam, Myanmar, Brunei, Laos, Cambodia). T test results obtained are the effect of digital variables on the GDP of ASEAN countries ie the probability value of t-statistics obtained 0.0420. Then the statistical probability <α = 5% is 0.0420 <0.05. So it can be concluded that digital variables partially have a positive significance to GDP variables. While the influence of openness to GDP growth of ASEAN countries is the probability value of t-statistics obtained 0.6386, then the statistical probability <α = 5% is 0.6386> 0.005. So it can be concluded that the variables of disclosure partially no effect on the significance of GDP variables. While the simultaneous F test result is the effect of digital variables and openness to GDP growth of ASEAN countries obtained Adjustted R-Squere value of 0.994. This shows that the model is able to explain 99.4% of the dependent variable, while the remaining 0.52 other factors influenced beyond the regression model. Digital influence on GDP growth of ASEAN countries is good so it needs to be improved to manage internet users. Internet users are expected not only as a consumer but also create business opportunities to make a star up (entrepreneur) for economic growth in each country can be improved. While the influence of openness to the growth of GDP of ASEAN countries needs to be improved especially in producing products that can be exported and reduce the import of goods, export and import tariff are also to be re-arranged so that grow export climate in each country. It is expected that openness will increase so much investment will be present so that ultimately the purpose of establishment of ASEAN Economic Community can prosper each ASEAN country.Keywords: Digital Economy, Openness, GDP, ASEAN
The role of external beam radiation therapy in well-differentiated thyroid cancer

ABSTRACT Introduction: This review article explores the use of external beam radiotherapy (EBRT) in well differentiated thyroid cancer. Areas covered: The published literature on EBRT for advanced pT4 disease and macroscopic unresectable disease to improve locoregional control is reviewed. EBRT techniques, volumes and doses are discussed in detail. The potential acute and late toxicities of EBRT are discussed in the context of the published literature. The use of EBRT for patients with metastatic disease is also described. Expert commentary: There is good retrospective evidence for EBRT in the setting of unresectable gross residual well-differentiated thyroid cancer as this can result in long-term local control. However, the benefit of EBRT in patients with locally advanced disease that is completely resected is less clear. The use of EBRT for these patients requires careful consideration of age, pathologic factors, comorbidities and patient preference, preferably by a multi-disciplinary team.
Resonant and leaky-wave reconfigurable antennas based on graphene plasmonics

Resonant and leaky-wave THz reconfigurable antennas based on the propagation of transverse magnetic surface plasmons on graphene sheets are proposed. Reconfiguration is achieved via electric field gating, which allows the dynamical control of graphene complex conductivity. The first presented antenna is a miniaturized frequency-tunable resonant dipole with almost constant input impedance upon reconfiguration. The second design consists of a sinusoidally-modulated leaky wave antenna which provides beam scanning capabilities at a fixed operation frequency. The performance of the antennas, in terms of reconfigurability, return loss and radiation efficiency, is promising for the development of fully-integrated graphene transceivers at THz.
Resource allocation for non-realtime data users in UMTS uplink

In the paper, we investigate and evaluate a radio resource allocation strategy for non-realtime data services in a single cell UMTS uplink. We focus on a packet level allocation strategy, which guarantees certain fairness levels. Non-realtime data services normally have average throughput requirement, which can be achieved either by way of continuous transmission with a low instantaneous data rate or by way of a higher instantaneous data rate over a shorter time. We find that it is energy-efficient by transmitting with high instantaneous data rate based on variable spreading factor operation. Furthermore, based on an average throughput based fairness criterion, we propose a fair resource allocation scheme that is easy to implement. Simulations are used to evaluate the proposed scheme.
Glycosylated Hemoglobin Level and Carotid Intimal-Medial Thickening in Nondiabetic Individuals: The Atherosclerosis Risk in Communities Study

OBJECTIVE People with diabetes are at increased risk for cardiovascular events. However, questions remain about what role, if any, homeostatic glucose control plays in the development of cardiovascular disease among nondiabetic individuals. We investigated the relationship between HbA1c level and carotid intimal-medial thickening in normoglycemic individuals. RESEARCH DESIGN AND METHODS We conducted a case-control study among 208 normoglycemic individuals (fasting glucose ≤ 6.4 mmol/l and no history of diabetes) who had carotid initial-medial thickening (case subjects) and 208 normoglycemic control subjects individually matched for age, sex, race, field center, and date of exam. Subjects were free-living men and women, aged 45–64 years at baseline, who participated in the Atherosclerosis Risk in Communities (ARIC) Study. RESULTS HbA1c levels, expressed as percent of total hemoglobin, ranged from 4 to 7% and correlated only modestly with single measurements of fasting glucose (r = 0.16) and fasting insulin (r = 0.14). The mean level of HbA1c was 5.18% among case subjects and 5.07% among control subjects (P = 0.004, paired t test). As compared with the first quartile of HbA1c the matched relative odds of being a case were 1.15, 1.33, and 2.30 for the second, third, and fourth quartiles, respectively (P = 0.005 for linear trend). After multivariate adjustment for age, fasting glucose, fasting insulin, BMI, smoking status, hypertension, LDL cholesterol, HDL cholesterol, fibrinogen, and education level, the respective relative odds estimates were 0.98, 1.07, and 1.8 (P = 0.16 for linear trend). When modeled linearly as a continuous variable and after adjustment for the above-mentioned covariates, a 1% point increment in HbA1c level was associated with 1.77 greater odds of being a case (95% CI, 0.9–3.5). CONCLUSIONS These data provide some support to the hypothesis that in the absence of diabetes, homeostatic glycemic control is a risk factor for atherosclerosis.
CT assessment of vocal cord medialization.

BACKGROUND AND PURPOSE Unilateral vocal cord paralysis (UVCP) occurs after iatrogenic injury or disease process and is associated with dysphonia and aspiration. Various surgical options are available for treatment of UVCP, including vocal cord medialization thyroplasty and injection laryngoplasty. These augmentative procedures improve phonation and airway protection. Our purpose was to demonstrate the CT appearance of implants used for the treatment of UVCP. METHODS Twelve patients treated surgically for UVCP were studied with helical CT. The vocal cords were augmented by using Silastic implants (n = 7), polytetrafluoroethylene (Gore-Tex) implants (n = 2), Teflon injections (n = 2), or fat injection (n = 1). Augmented vocal cords were characterized by size, shape, and Hounsfield units (HU). Two other patients with failed medialization thyroplasty were evaluated for the position of the extruded implant relative to the paralyzed vocal cord. RESULTS The 7 Silastic implants were triangular and hyperattenuated (293.4 +/- 90.4 HU). The 2 Gore-Tex implants were heterogeneous with lobulated medial margins and were hyperattenuating (320 and 414 HU). The injected materials demonstrated ovoid/masslike configurations: the 2 Teflon injections were hyperattenuated (107 and 429 HU), and the fat injection was hypoattenuated (-102 HU). Inferior displacement of the implant was demonstrated relative to the true vocal cord in 2 patients with failed Silastic thyroplasties. CONCLUSION CT can distinguish various types of vocal cord augmentation. Silastic implants are recognized by their characteristic triangular configuration. The Gore-Tex implants had unique heterogeneous attenuation with lobulated medial margins. Fat and Teflon injections both appear ovoid/masslike. Teflon injection should not be mistaken for tumor.
Modéles et algorithmes markoviens

Ce livre est destine a tous ceux, mathematiciens ou non, qui souhaitent acquerir une maitrise pratique de l'outil probabiliste dans ses applications les plus courantes. L'elaboration d'un modele probabiliste conduit, en dehors de cas particuliers de faible interet pratique, a des problemes theoriques difficiles qui sont vite hors de portee de l'utilisateur (comme d'ailleurs souvent du probabiliste professionnel). La validation d'un tel modele passe alors necessairement par la simulation, qui ne met en jeu en general que des procedures extremement simples. Apprendre a utiliser les modeles stochastiques, ecrire pour eux des programmes de simulation efficaces, prevoir leurs performances et analyser leurs resultats est l'objectif principal de ce livre.
Antibody Is Required for Clearance of Infectious Murine Hepatitis Virus A59 from the Central Nervous System, But Not the Liver1

Intracerebral inoculation with mouse hepatitis virus strain A59 results in viral replication in the CNS and liver. To investigate whether B cells are important for controlling mouse hepatitis virus strain A59 infection, we infected muMT mice who lack membrane-bound IgM and therefore mature B lymphocytes. Infectious virus peaked and was cleared from the livers of muMT and wild-type mice. However, while virus was cleared from the CNS of wild-type mice, virus persisted in the CNS of muMT mice. To determine how B cells mediate viral clearance, we first assessed CD4+ T cell activation in the absence of B cells as APC. CD4+ T cells express wild-type levels of CD69 after infection in muMT mice. IFN-γ production in response to viral Ag in muMT mice was also normal during acute infection, but was decreased 31 days postinfection compared with that in wild-type mice. The role of Ab in viral clearance was also assessed. In wild-type mice plasma cells appeared in the CNS around the time that virus is cleared. The muMT mice that received A59-specific Ab had decreased virus, while mice with B cells deficient in Ab secretion did not clear virus from the CNS. Viral persistence was not detected in FcR or complement knockout mice. These data suggest that clearance of infectious mouse hepatitis virus strain A59 from the CNS requires Ab production and perhaps B cell support of T cells; however, virus is cleared from the liver without the involvement of Abs or B cells.
Quality of life and symptom attribution in long-term colon cancer survivors.

AIMS AND OBJECTIVES This study investigates how long-term colon cancer survivors evaluate their health, functional status and quality of life, and whether there are differences based on age, gender or ethnicity. METHODS Thirty long-term survivors of at least stage I colon cancer were interviewed in person between December 2004 and May 2005. The interview protocol included the Medical Outcomes Study 36-Item Short Form, Quality of Life--Cancer Survivor, and study-specific questions that asked about physical and non-physical problems they attributed to colon cancer. RESULTS Substantial percentages of survivors attributed their problems with lack of energy (83%), sexual functioning (67%), bowel problems (63%), poor body image (47%) and emotional problems (40%) to having had colon cancer. Of those problems attributed to colon cancer, sexual functioning and pain were given the highest severity rankings by survivors. The majority of long-term colon cancer survivors reported distress regarding future diagnostic tests, a second cancer, and spread of cancer. Women reported greater problems completing daily activities as a result of physical problems (P = 0.003) and more pain (P = 0.07) than men. African Americans appear to report marginally better overall quality of life (P = 0.07) and psychological well-being than whites (P = 0.07). CONCLUSION The majority of long-term colon cancer survivors with resected colon cancer and disease-free for 5 years reported problems with low energy, sexual functioning and bowel problems.
Combination method of support vector machine and fisher discriminant analysis for chemical process fault diagnosis

For chemical process, a new fault diagnosis method based on multi-phases is presented to overcome its difficulty in nonlinear and non-uniform sample data. Support vector machine is first used for phase identification, and for each phase, fisher discriminant analysis is developed to analyze and recognize fault patterns. Variable weighted discriminant matrix and similarity measurement based on manifold distance are proposed to enhance the incremental clustering capability of FDA. The proposed method is applied to citric acid fermentation process, and the comparison results indicate that the proposed algorithm has better capability to classify fault samples as well as high diagnosis precision.
Software Behavior Based Trustworthiness Attestation For Computing Platform

With a prevalence of pervasive computing, especially cloud computing , the software is at the core and play a vital role. This advance the security problem, so software trust is drawing increasing attention. Therefore, we need a unified trust relationship model between entities, which captures both the needs of the traditional computing world and the world of pervasive computing where the continuum of trust is based on identity, physical context or a combination of both. Here, we presents a software behavior based attestation model which try to determine the trust state of attesting platform from its system trust related behaviors. The new attestation model has advantages of privacy protection and high feasibility. In addition, it can also help to control and limit the impacts of security accidents such as malicious code in system. This paper also proposes a trust framework for service oriented application and displays its formalization model. It is useful for designing trust and reliable system and helpful for software developer’s analysis and validation of the application.
Learning a Ground Truth Ranking Using Noisy Approval Votes

We consider a voting scenario where agents have opinions that are estimates of an underlying common ground truth ranking of the available alternatives, and each agent is asked to approve a set with her most preferred alternatives. We assume that estimates are implicitly formed using the well-known Mallows model for generating random rankings. We show that k-approval voting — where all agents are asked to approve the same number k of alternatives and the outcome is obtained by sorting the alternatives in terms of their number of approvals — has exponential sample complexity for all values of k. This negative result suggests that an exponential (in terms of the number of alternatives m) number of agents is always necessary in order to recover the ground truth ranking with high probability. In contrast, by just asking each agent to approve a random number of alternatives, the sample complexity improves dramatically: it now depends only polynomially on m. Our results may have implications on the effectiveness of crowdsourcing applications that ask workers to provide their input by approving sets of available alternatives.
Digital engagement in social media : likes as a predictor of brand value

This study suggests indicators of consumers’ digital engagement with brand-related social media contents as a contemporary measure of brand equity and examines its relationship with brand value. The study analyzes this relationship based on the data collected from January 2016 to December 2017 on US brand performances, advertising spending, and Facebook interaction devices including “Likes” as well as “the number of users talking about this brand”. The results show that the total number of “Likes” a brand’s official fan page receives on Facebook has a statistically significant positive impact on the brand’s value. These findings not only support the consensus on brand equity as a driver of brand value, but also successfully denote consumer engagement measures as indicators of brand equity.
Conventional dendritic cells regulate the outcome of colonic inflammation independently of T cells

We explored the physiological role of conventional dendritic cells (cDCs) in acute colitis induced by a single cycle of dextran sodium sulfate administration. Depending on their mode of activation and independently of T cells, cDCs can enhance or attenuate the severity of dextran sodium sulfate-induced colitis. The latter beneficial effect was achieved, in part, by IFN-1 induced by Toll-like receptor 9-activated cDCs. IFN-1 inhibits colonic inflammation by regulating neutrophil and monocyte trafficking to the inflamed colon and restraining the inflammatory products of tissue macrophages. These data highlight a novel role of cDCs in the regulation of other innate immune cells and position them as major players in acute colonic inflammation.
Real World Examples of Agent based Decision Support Systems for Deep Learning based on Complex Feed Forward Neural Networks

Nature frequently shows us phenomena that in many cases are not fully understood. To research these phenomena we use approaches in computer simulations. This article presents a model based approach for the simulation of human brain functions in order to create recurrent machine learning map fractals that enable the investigation of any problem trained beforehand. On top of a neural network for which each neuron is illustrated with biological capabilities like collection, association, operation, definition and transformation, a thinking model for imagination and reasoning is exemplified in this research. This research illustrates the technical complexity of our dual thinking process in a mathematical and computational way and describes two examples, where an adaptive and self-regulating learning process was applied to real world examples. In conclusion, this research exemplifies how a previously researched conceptual model (SLA process) can be used for making progress to simulate the complex systematics of human thinking processes and gives an overview of the next major steps for making progress on how artificial intelligence can be used to simulate