Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Intensity of Warfarin Therapy for Secondary Prevention of Stroke in Patients with Nonvalvular Atrial Fibrillation

Background and Purpose—The optimal intensity of warfarin therapy for secondary prevention of stroke in nonvalvular atrial fibrillation (NVAF) remains unclear. We studied the efficacy and safety of conventional- and low-intensity warfarin therapy in a prospective, randomized, multicenter trial. Methods—The study population consisted of patients with NVAF (<80 years old) who had a stroke or transient ischemic attack. The patients were randomly allocated into a conventional-intensity group (international normalized ratio [INR] 2.2 to 3.5) and a low-intensity group (INR 1.5 to 2.1). They were carefully monitored, and the annual rate of recurrent ischemic stroke and major hemorrhagic complications were compared between the groups. Results—We enrolled 115 patients (mean age 66.7±6.5 years) into the study. Fifty-five and 60 patients were allocated into the conventional- and low-intensity groups, respectively. The trial was stopped after a follow-up of 658±423 days, when major hemorrhagic complications occurred i.
A Novel Feature Extraction Strategy for Hardware Trojan Detection

Hardware Trojans (HTs) are acknowledged as a significant emerging security concern in the IC industry resulting from the globalization of the semiconductor supply chain. Recently, taking advantage of the exponential growth in computing power, machine learning (ML) approaches such as neural networks (NNs) are being considered for HT detection. However, the circuit structure and components of an IC design are different from the data types in the ML models. To efficiently extract HT features from complex IC designs and utilize common ML-based detection approaches is challenging. In this paper, a novel HT feature extraction strategy based on gate-level circuit netlists is proposed to tackle the challenges. The HT features are extracted from the circuit topology rather than statistical analysis in previous research. A commonly utilized support vector machine (SVM)-based HT detection model is employed for data training and testing using the extracted features on HT benchmarks from both open-sourced library and HT generation platform to prove the feasibility and efficiency of the proposed HT feature extraction strategy. The detection results show high recall in nearly all tested benchmarks, achieving at most 97.7% recall on sequential Trojans and 84.8% on combinational ones.
Natural YMDD-motif mutants affect clinical course of lamivudine in chronic hepatitis B

AIM:To investigate the prevalence of nature tyrosinemethionine-aspartic acid-aspartic acid motif mutations in chronic hepatitis B(CHB)patients and to evaluate the efficacy of lamivudine.METHODS:A total of 1268 CHB patients were recruited from the outpatient and inpatient departments of six centers.Tyrosine-methionine-aspartic acid-aspartic acid(YMDD)mutations were analyzed using the hepatitis B virus(HBV)drug resistance line probe assay.Forty voluntary patients were selected from those with positive or negative natural YMDD mutations to undergo treatment with lamivudine.RESULTS:YMDD mutations were detected in 288(22.71%)of the 1268 CHB patients.Multivariate analysis revealed that the patients’HBV DNA level(P=0.0282)and hepatitis B e antigen status(P=0.0133)were also associated with natural YMDD mutations.The rates of normalization of alanine aminotransferase levels and HBV DNA nondetection at 6,24,36,and 48 wk were compared between the patients with natural YMDD mutations and those without,and the differences were not significant.However,there was a significant difference in the cumulative emergence rates of virological breakthrough at 48 wk in the patients with natural YMDD mutations and those without(32.5%vs 12.5%,P=0.032). CONCLUSION:Naturally occurring YMDD mutationsare detectable in a large proportion of CHB patients;breakthrough hepatitis tended to occur in patients with natural YMDD mutations.
A Survey on Attacks and Advances of Intrusion Detection Systems

Now day’s information of an organization floating over the internet that increases the traffic on the network as well as threats from attackers. To protect these sensitive material Intrusion Detection System (IDS) is situated in the scheme. It is an application software program or hardware mechanism that compacts with assaults by assembling information from a mixture of systems and network resources, then analyzing indications of defense dilemmas. Network Intrusion Detection (NID) is a method that efforts to determine unauthorized entrance to a network through analyzing traffic on the network. There are a variety of advances of intrusion detection, for instance Data Mining, Pattern Matching, Machine Learning and Measure Based Methods. This survey paper aims towards the proper learning of intrusion detection system with the intention that researchers could create employ of it and discover the new methods towards intrusions. Keywords: Intrusion Detection System, Data Mining, Pattern Matching, Anomaly detection, misuse detection, Machine Learning.
Broadband Circularly Polarized Cross-Dipole Antenna With Multiple Modes

A broadband circularly polarized (CP) cross-dipole antenna with multiple modes is proposed. The antenna is composed of two pairs of crossed strip dipoles as driven elements, four square-slot patches, and four corner-truncated patches as parasitic elements. A pair of vacant-quarter printed rings is used as sequential phase feeding structure to generate a CP mode, which connect to crossed strip dipoles. By using these coupled rotated elements, multiple CP modes can be stimulated to satisfy the need of broadband CP radiation. In addition, four shorted square metal columns are also introduced in the antenna design to generate an additional CP resonance. A verified prototype was fabricated and measured in this paper. The measured results demonstrate the proposed antenna features wideband CP characteristics with a wide impedance bandwidth (IBW) of 95.5% (0.92–2.60 GHz) and a broad axial-ratio bandwidth (ARBW) of 94.4% (0.95–2.65 GHz).
A Engenharia de Requisitos nos métodos ágeis: uma revisão sistemática da literatura

Since agile methods do not have prescriptive characteristics, there is not a formal definition on how Requirements Engineering (RE) activities should be executed. This situation leads to a variety of different forms of defining how requirements are elicited, prioritized, documented and validated. So, it is necessary to comprehend how research on RE have characterized such activities. By using a systematic review approach, the objective of this study was to identify practices and techniques that have been used for each RE process in agile projects. The study also identified challenges and lessons learned that should direct improvements in this area.
Effect of Pco2 Changes Induced by Head-Upright Tilt on Transcranial Doppler Recordings

Background and Purpose Transcranial Doppler (TCD) monitoring of mean blood flow velocity (mV) during head-upright tilt can allow testing of cerebral autoregulation. Nonetheless, head-upright tilt can induce changes in the ventilation-perfusion relationship and/or respiratory activity that might influence TCD data. Methods Forty-eight healthy volunteers underwent monitoring of mV and end-tidal CO2 in the horizontal position and during head-upright tilt. Results Both mV and end-tidal CO2 significantly decreased in orthostasis (P<.01). Linear regression analysis showed a significant linkage between end-tidal CO2 and mV changes (r=.83, P<.01). Conclusions Changes in ventilation-perfusion ratio and in the respiratory pattern induced by head-upright tilt can significantly influence TCD data by determining a Pco2 decrease.
Phytoremediation properties of three ornamental plants for cadmium absorption in soils.

An experiment was conducted to investigate the phytoremediation properties of three ornamental plants viz.,Rhapis excelsa,Camellia polyodonta and Camellia gigantocarpa for soil cadmium(Cd) absorption in order to provide references for Cd hyperaccumulating plant screening and soil pollution control.The experiment was conducted in soil-pot culture system and plants were treated with Cd(10,25 and 50 mg·kg-1). The results showed that all ornamental plants grew well and did not showed any toxic symptoms in soils while containing 10,25 and 50 mg·kg-1 cadmium compared to control.When the cadmium concentrations were 10 and 50 mg·kg-1,the Cd contents in the underground parts(roots) of three ornamental plants were all higher than that in the aboveground parts(stems and leaves). With the increasing cadmium concentration,the increasing rates of cadmium contents in the underground parts(roots) of three ornamental plants were all higher than that in the aboveground parts(stems and leaves). The Cd content in the roots of the Rhapis excelsa at 50 mg·kg-1 Cd concentration was 7.05 times higher than that at 10 mg·kg-1 cadmium concentration and its increasing rate of cadmium content was the highest amongst all ornamental plants.The ratio of cadmium contents in aboveground part to underground part in all ornamental plants were low and their mobility decreased with increasing cadmium concentration in the soil.
Multiple sclerosis and neurotransmission

In this study, the role of excitatory amino acids (EAA), nitrite (metabolite of nitric oxide), vitamin B 12 , homocysteine (HC), monoamines, and neuropeptides such as cholecystokinin (CCK) and neuropeptide Y in multiple sclerosis (MS) is defined on the basis of accumulated results obtained in cerebrospinal fluid from 47 MS patients. These results were compared with 25 healthy subjects. These results showed the significant increase of free radical NO, arginine, tryptophan, noradrenaline and HC, and decrease in the levels of Apartate, glutamate, dopamine, vitamin B12, CCK-4 and CCK-8 in MS patients. From these results, the role of NO, HC and deficiency of vitamin B12 are considered as some of the factors attributing to the degeneration of MS.
CSO BASED ENERGY EFFICIENT CLUSTER PROTOCOL FOR WIRELESS SENSOR NETWORKS

In wireless sensor networks (WSNs) energy saving has become one of the prime optimization problem and clustering technique has been considered as most efficient techniques to achieve the same. The selection of cluster heads (CHs) plays a vital role in hierarchical based WSNs as it consume more energy owing to its additional duty of receiving, aggregating the data from the cluster member nodes and transmitting the same to the base station (BS). Improper selection of CHs causes impact on network life time. In order to have an energy efficient network a suitable optimization algorithm is to be adopted to select the CHs. We propose a cluster protocol based on Cat Swarm Optimization (CSO) algorithm to reduce the energy consumption during cluster setup phase and transmission phase. The CSO cluster protocol is developed by considering intra-cluster distance of nodes to CH and residual energy of cluster member nodes. The algorithm is tested extensively on various scenarios of WSNs, varying number of sensor nodes and the CHs. The energy efficient scheme of proposed CSO performance is compared with other well-known protocols such as Low Energy Adaptive Clustering Hierarchy -Centralized (LEACH-C) and Particle Swarm Optimization (PSO) based protocol to prove the superiority of it.
Extrapulmonary Tuberculosis: Update on the Epidemiology, Risk Factors and Prevention Strategies

• Page 1 of 6 • Citation: Ben Ayed H, Koubaa M, Marrakchi C, Rekik K, Hammami F, et al. (2018) Extrapulmonary Tuberculosis: Update on the Epidemiology, Risk Factors and Prevention Strategies. Int J Trop Dis 1:006. Accepted: September 01, 2018; Published: September 03, 2018 Copyright: © 2018 Ben Ayed H, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
SDN Layers and Architecture Terminology

Software-Defined Networking (SDN) can be defined as a new approach for network programmability. Network programmability in this context refers to the capacity to initialize, control, change, and manage network behavior dynamically via open interfaces as opposed to relying on closed-box solutions and their associated proprietary interfaces. SDN emphasizes the role of software in running networks through the introduction of an abstraction for the data forwarding plane and, by doing so, separates it from the control plane. This separation allows faster innovation cycles at both planes as experience has already shown. However, there is increasing confusion as to what exactly SDN is, what is the layer structure in an SDN architecture and how do layers interface with each other. This document aims to answer these questions and provide a concise reference document for SDNRG, in particular, and the SDN community, in general, based on relevant peer- reviewed literature and documents in the RFC series.
Building IT-based Pharmacy: Computerized Pharmacy Management

This study aims to produce computer-based systems that allow pharmacists to perform their work in pharmaceutical management. This research used the descriptive method to analyze how pharmacies Cibadak Farma handled the drug supplied management activities, sales transactions, purchasing drugs, and reporting manually. Data collection methods used consisted of field research conducted by observation, questionnaires, and interviews. The method used prototyping system development. The results show that building computer-based management system pharmacies Cibadak Farma able to handle the processing of drug supplies, processing transactions and making transaction reports based on a particular period to be effective and efficient work.
Temporal Trends in Survival to Adulthood Among Patients Born With Congenital Heart Disease From 1970 to 1992 in Belgium

Background—Over the past decades, the life expectancy of individuals with congenital heart disease (CHD) has increased significantly. However, precise estimates for survival to adulthood are scarce for patients with CHD. We investigated the proportion of CHD patients born between 1990 and 1992 who survived into adulthood. We also compared their survival with that of CHD patients born in earlier eras and evaluated survival as a function of the type of heart defect. Methods and Results—We reviewed the CHD program administrative and clinical database at the University Hospitals Leuven (Leuven, Belgium) and analyzed the records of 7497 CHD patients born from 1970 to 1992. Survival to 18 years of age in patients born between 1990 and 1992 was 88.6% (95% confidence interval [CI], 86.3% to 90.5%), which was significantly greater than that of patients born in previous decades (P<0.0001). For patients born between 1990 and 1992, survival into adulthood for those with mild heart defects was 98.0% (95% CI, 95.8% to .
Health effects of living in the vicinity of the landfills

Składowiska są najprostszym, najtańszym i najpowszechniejszym sposobem zagospodarowania odpadów. W obliczu wzrastających ilości odpadów, dynamiki procesów globalizacji i urbanizacji, problem składowisk jest istotnym aspektem polityki ekologicznej w krajach wysokorozwiniętych. Obecność składowisk odpadów wiąże się z dużą uciążliwością dla otoczenia. Ze składowisk odpadów uwalniane są takie substancje toksyczne, jak trwałe związki organiczne (TZO), metale ciężkie, a także szkodliwy biogaz, bioaerozole, bakterie oraz wirusy. Przeprowadzono wiele badań mających na celu zbadanie wpływu składowisk odpadów na zdrowie ludzi mieszkających w ich pobliżu. Obserwowano takie skutki zdrowotne, jak: zwiększona częstość wad wrodzonych, zwiększone ryzyko nowotworowe, zwiększone ryzyko niskiej masy noworodków. Wyniki badań nie dostarczają pewnych dowodów na istnienie zależności pomiędzy wpływem składowisk odpadów na indukcję chorób nowotworowych i innych schorzeń. Zauważa się konieczność prowadzenia dalszych badań mających na celu zbadanie wpływu składowisk odpadów na zdrowie ludności mieszkającej w ich pobliżu.
Analysis and Design of a Hybrid Load Management method for the IoT Networks

The research paper consists of the simulation results of the hybrid algorithm for the IoT (The Internet of Things) networks based on the base load prediction. IoT is one of the most relevant and promising technology today. These networks consist not only of sensors or computer nodes but also they can support numerous applications. After deploying such a network, its elements are able to self-organize into an autonomous network that requires minimal interference. The previous research has shown that relaying a large number of requests across network elements leads to a decrease in functionality and an increase in bounce rates. However, the main task of research is to collect, process, store and transfer information from IoT devices to data centers or servers
Neuroprotective Effect of Zataria Multiflora Essential Oil on Rats With Alzheimer Disease: A Mechanistic Study

Introduction: Finding herbs with promising effects to prevent or postpone Alzheimer Disease (AD) is highly demanded. The present study aimed at clarifying plausible effects and related mechanism(s) of Zataria Multiflora Essential Oil (ZMEO) against memory impairment in a rat model of the AD. Methods: Forty male adult rats were categorized into four groups and treated as follows: 1. The Negative Control (NC): no treatment; 2. Sham control (sham): distilled water by Intracerebroventricular (ICV) injection; 3. The AD control (AD): Aβ 1–42 by ICV injection; and 4. The ZMEO group: Aβ 1–42 by ICV injection and ZMEO at 100 μL/kg/d orally for 20 days. Results: After Congo red staining of the hippocampus, a relative decrease in amyloid deposits was observed in the ZMEO group. Moreover, rats showed better outcomes in Morris Water Maze (MWM) test, reduced hippocampal acetylcholinesterase (AchE) activity, and higher Brain-Derived Neurotrophic Factor (BDNF) content as compared with the AD group (P<0.05). However, no significant changes in antioxidant status was observed (P>0.05). Conclusion: ZMEO has a protective effect against memory impairment in rats with AD at least partly via reducing hippocampal AchE activity and enhancement of BDNF levels without a change in antioxidant status. These findings can pave the way for future studies on the usefulness of this herb in AD prevention.
Students’ worksheet on circular cylinder topic using GeoGebra software through Discovery Learning model

Students’ worksheet is a sheet that contains material, descriptions, work steps, and exercises to help students comprehend and discover the concept of learning materials. But in fact, students’ worksheets do not work well in schools yet. Students’ worksheets only contain materials and exercises, not including the components of good students’ worksheets. Therefore, it is necessary to develop students’ worksheets which could help students to find their own concepts. This study aims to develop valid and practical students’ worksheets based on discovery learning model employing GeoGebra in the topic of circular cylinder. This study was held at Year 9 on junior high school. The study is developmental research with ADDIE model, which consists of 5 steps: analysis, design, development, implementation, and evaluation. The research used validity and practicality instruments to assess students’ worksheet. The validity instrument includes the assessment sheets for student worksheet and practical instrument includes student and teacher response questionnaires. The results showed that the students’ worksheet fulfilled criteria (1) valid within the average score 4.5 of 5 for students’ worksheets; and (2) practical with student response questionnaire average score of 88% and teacher response questionnaire average score 4.5 of 5.
YOLO Algorithm Accuracy Analysis in Detecting Amount of Vehicles at the Intersection

The goal of this research is to find out YOLO algorithm’s effectiveness on detecting the number of vehicle on road. Our activity in this research is conduct training using a dataset that we created ourselves and do traffic recording simulation in a lot of scenario using YOLO original datasets and our own datasets. The result of this research is YOLO algorithm successfully detects vehicles as much as 65.3% of the total vehicles passing on the highway and gives the wrong label as much as 20.7% of the total label given if using YOLO original dataset. YOLO algorithm successfully detects vehicles as much as 9,3% of the total vehicles passing on the highway and gives the wrong label as much as 7,4% of the total label given if using our own dataset.
Role of Multidetecto R Row Computed Tomog Raphy in Evaluation of Biliar Y Tract Obstructive Jaundice

INTRODUCTION: Obstructive jaundice is a type of jaundice in which there is blockage of flow of bile from the liver to the intestine resulting in redirection of excess bile and it’s by-products like bilirubin into the blood. It can lead to complications like ascending cholangitis, hepatorenal syndrome and malabsorption, hence requiring urgent surgical intervention. The role of a radiologist therefore is important in early diagnosis and in accurately delineating the level and the cause of obstruction, thus helping in staging as well as preoperative assessment of tumor resectability. The search for noninvasive diagnostic tools is an emerging medical need, in order to avoid invasive, costly and physician-intensive procedures such as endoscopic retrograde cholangiopancreatography (ERCP). Ultrasound is a non-invasive and cost effective imaging technique available for evaluating biliary tract obstruction. Ultrasound demonstrates the presence of biliary tract obstruction by identifying dilated bile ducts but has a sensitivity of 55%-95% and specificity of 71%-96 %. The role of magnetic resonance cholangiography (MRCP) is well established in this field as the most reliable noninvasive technique. However, some drawbacks, such as contraindication in patients with pacemakers and ferromagnetic implants, for claustrophobic patients, long examination times exceeding 30 minutes and limited availability of scanners still limit its use. MRCP is expensive and has limitations such as interference from intraluminal gas, pneumobilia and flow artifacts. In the past, axial conventional CT could not provide adequate information of biliary abnormalities since the total depiction of these ducts was not suitable for evaluation in axial planes. MDCT's ability to obtain volume dataset with sub-millimeter spatial resolution allows the optimal display of bile duct by using multiplanar reconstruction (MPR) and minimal intensity projection (MinIP) without compromising on image quality. The combined use of MPR and MinIP techniques significantly improves the visualization of the biliary ducts and their site of confluence compared with those obtained by axial CT. The purpose of the present study is to evaluate the utility of MDCT in suspected patients with biliary tract obstruction by establishing the cause of obstruction, location of obstruction and to differentiate between benign and malignant causes by comparing with ERCP, surgical or histopathological findings.