Miracle-dz/UniFAR-FTUs huggingface dataset:
Transient Solution of Machine Interference Problem with an Unreliable Server under Multiple Vacations Policy

Consider the machine interference problem with an unreliable server under multiple vacations. There are similar machines that are subject to breakdowns with a single server who is responsible for repairing the failed machines. Each machine fails completely at random with rate . When a machine fails, it is immediately sent to the service centre where it is attended to in order of breakdowns with a state dependent service rate. State dependent service rate is a situation where the rate of service depends on the number of customers present in the system. The machines operate independently but are subject to breakdowns. The service time distributions of the failed machines are assumed to be exponentially distributed with state dependent service rate μ . Where is the number of failed machines. The ChapmanKolmogorov differential equations obtained for the multiple vacations model is solved through ODE45 (Runge-Kutta algorithm of order 4 and 5) in MATLAB programming language. The transient probabilities obtained are used to compute the operational measures of performance for the systems. In the multiple vacations model the server will continue to take vacations until there is one failed machine in the system. The effects of , μ, , on the machine availability under different values of t for the multiple vacations is investigate; it is observe that the machine availability decreases with increase in time t. The CPU time for obtaining the transient results for the systems and the variance of the systems are reported in this work.
Connectionist Forecasting Of Earthquakes:Method And Preliminary Results

This method is based on the integration by an artificial neural network of forecasting tools that were originally developed for financial analysis, the so-called financial oscillators. A preliminary test is performed on seismic data from the Azores, and that test shows a good predicting ability, better than would be obtained by classical probabilistic methods.
The Effect of Employing Scaffolding Strategies and Classroom Tasks in Teaching Reading Comprehension

The present study was conducted to investigate the effect of scaffolding strategies and classroom tasks on teaching reading comprehension to Iranian EFL learners. It was hypothesized that providing EFL students with enough assistance, while they are working on reading comprehension tasks that are slightly difficult for them to do alone, could accelerate their reading comprehension ability and help them begin to function on their own in similar situations. To carry out the research, 130 Iranian female first-year university students were selected as the participants of the study. Afterward, they were randomly assigned into experimental and control groups. The experimental group was given a treatment including supplementary materials and scaffolding strategies, while the control group was given a placebo. To collect the required data, five instruments (a pretest, a posttest, and four task-based internal exams) were administered to both groups during the experimentation. Subsequently, students' scores were collected through the administration of different tests and the results were statistically analyzed. The results of these analyses revealed that the experimental group outperformed the control group and thus, it was concluded that scaffolding can improve the reading ability and general proficiency of EFL langauge learners.
When Identities Collide Exploring Minority Stress and Resilience among College Athletes with Multiple Marginalized Identities

The purpose of this qualitative analysis was to explore the unique experiences of lesbian athletes of color. Toward this goal, the authors interviewed 12 female student-athletes from racially diverse backgrounds. Analysis of the data revealed how certain aspects of the athletes’ identity (i.e., sexual orientation) were devalued, while others (i.e., athletic, race) were more welcomed in the athletic setting. In addition, the participants noted several instances in which athletic department coaches and staff members displayed overt forms of sexual prejudice, thereby compelling many of the participants’ to conform to heterosexist ideals in the sport context. Furthermore, the negative reactions these athletes received in sport and family settings, led many of the participants to feel socially isolated and experience feelings of guilt and shame because of their sexual orientation. Fortunately, many of the athletes were able to use social support and a common LGBT identity to cope with these negative
MODELLING OF POLYCYCLIC AROMATIC HYDROCARBONS FROM SELECTED POINT AND AREA SOURCES IN CENTRAL EUROPE

Atmospheric levels of polycyclic aromatic hydrocarbons (PAH) were established in the local and regional scales with a combination of modelling approaches and tools. The spatial distribution of benzo(a)pyrene B(a)P was modelled for a domain covering Europe using a modified version of the Community Multi-scale Air Quality (CMAQ) modelling system linked with the Weather Research and Forecast (WRF) model. In addition, the Lagrangian model CALPUFF was used to study the significance of point and area sources for B(a)P levels on the local scale.
Robust adaptive control of time-varying systems with unknown backlash nonlinearity

This paper presents a robust adaptive controller for time-varying systems with an unknown backlash nonlinearity at the plant input. The controller is designed based on the pole assignment strategy, and it is applicable even to systems in the presence of unmodeled dynamics, bounded external disturbances, and time-varying parameters. No minimum phase assumption and no persistence of excitation requirement are needed. The global stability is ensured by the proposed controller.
Reality in Virtual Construction Using Virtual-CAD (VCAD)

This paper presents the conceptual computer-aided design (CAD) system Virtual-CAD (VCAD) that supports design of virtual technical objects (VTOs) in a three-dimensional stereoscopic environment using pre-defined virtual construction elements. The CAD system automatically produces the drafts needed for the production of the real technical object from the newly created VTO. A considerable contrast from the traditional construction process, where the engineer initially produces drafts of his construction and afterwards 3D representations from these drafts is highlighted in this approach. The VTO is created by joining basic elements taken from a library. The geometric properties of these elements are described as geometric cell complexes, which were developed by Alexandroff et. al. in 1935 and refind for CAD purposes by Pitschke in 1996. A prototype of the VCAD system is presently implemented on a SGI workstation 02, specialising on structural engineering applications.
The CRONE toolbox for Matlab

A new CAD tool, the CRONE Matlab toolbox, is presented for engineers and researchers in mathematics and engineering sciences, particularly for electrical and electronic engineering and automatic control. The originality, aims, form and use of the toolbox are presented. The three main modules are described: their content, principle, algorithms, and applications for identification and control. Examples of their use are given. The original theoretical mathematical concepts developed in our laboratory based on noninteger differentiation are used for the computation. CRONE control is a typical application. The toolbox is not only for researchers, including Ph.D students, but also for industrials whose growing interest in noninteger integration, and their readiness to invest in the development of its applications, are manifest. The paper is divided into four sections: aims and organization of the toolbox, "mathematical tools" module, "identification by noninteger model" module, and the "CRONE CSD" module. The final section discusses perspectives.
Low-molecular-weight heparin treatment for acute lung injury / acute respiratory distress syndrome : a meta-analysis of randomized controlled trials

Low-molecular-weight heparin (LMWH) has achieved additional benefits among acute lung injury (ALI)/ acute respiratory distress syndrome (ARDS) patients. We aimed to evaluate the benefits of LMWH as an adjunctive therapy in ALI/ARDS patients by conducting meta-analysis. We made a comprehensive literature search using Pubmed, Embase, Cochrane Library, Wanfang, VIP, and CKNI until October 2016. Randomized controlled trials evaluating LMWH as an adjunctive therapy for ALI/ARDS patients were included. A total of 9 trials involving 465 patients were identified. Adjunctive treatment with LMWH significantly reduced the 28-day mortality (risk ratio [RR] 0.63; 95% confidence interval [CI] 0.41-0.96), 7-day mortality rate (RR 0.52; 95% CI 0.31-0.87), and activated partial thrombin time (weighted mean differences [WMD] -1.10 seconds; 95% CI -1.97 to -0.23) as well as increased the partial pressure of oxygen to fraction of inspired oxygen ratio (PaO2/FiO2) (WMD 74.48; 95% CI 52.18-96.78). However, the tested LMWH dose had no apparent effect on prothrombin time and platelet count. Subgroup analyses showed that the effect on PaO2/FiO2 improvement was more pronounced in the high LMWH dose (≥5000 U/day) subgroup. This meta-analysis suggests that adjunctive treatment with LMWH appears to have additional benefits in terms of reducing 7-day and 28-day mortality and increasing oxygen index among ALI/ARDS patients.
iochemical Insights into the ns of Yeast Grx 3 ng ,

The yeast Saccharomyces cerevisiaemonothiol glutaredoxin Grx3 plays a key role in cellular defense against oxidative stress and more importantly, cooperates with BolA-like iron repressor of activation protein Fra2 to regulate the localization of the iron-sensing transcription factor Aft2. The interplay among Grx3, Fra2 and Aft2 responsible for the regulation of iron homeostasis has not been clearly described. Here we solved the crystal structures of the Trx domain (Grx3) and Grx domain (Grx3) of Grx3 in addition to the solution structure of Fra2. Structural analyses and activity assays indicated that the Trx domain also contributes to the glutathione S-transferase activity of Grx3, via an inter-domain disulfide bond between Cys37 and Cys176. NMR titration and pull-down assays combined with surface plasmon resonance experiments revealed that Fra2 could form a noncovalent heterodimer with Grx3 via an interface between the helix-turn-helix motif of Fra2 and the Cterminal segment of Grx3, different from the previously identified covalent heterodimer mediated by Fe–S cluster. Comparative affinity assays indicated that the interaction between Fra2 and Aft2 is much stronger than that between Grx3 and Aft2, or Aft2 toward its target DNA. These structural and biochemical analyses enabled us to propose a model how Grx3 executes multiple functions to coordinate the regulation of Aft2-controlled iron metabolism. © 2018 Published by Elsevier Ltd.
The impact of neuraxial anesthesia on cancer recurrence and survival for patients with prostate cancer : a meta-analysis

Previous studies suggest an association between neuraxial anesthesia and cancer recurrence and survival for patients with prostate cancer. However, conclusions from these studies were controversial. Thus, we examine the association of neuraxial anesthesia (combined with or without general anesthesia (GA)) with prostate cancer recurrence and survival after cancer surgery. Based on the inclusion and exclusion criteria, the association of neuraxial anesthesia with prostate cancer recurrence and survival were searched from various databases including PubMed, Embase, China Biology Medicine disc (CBM), China National Knowledge Infrastructure (CNKI) up to July 10th, 2016 and the meta-analysis was performed with STATA and Review Manager statistical software. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate the strength of the correlations. Additionally, different subgroup-analyses and a publication bias test were performed. Through a systematic literature search, 7 previous studies were identified and involved in this meta-analysis. Consequently, our evidence indicates no association between neuraxial anesthesia and overall survival (OS) (HR=1.19, 95% CI=0.73-1.94, P=0.474) and recurrence-free survival (RFS) (HR=0.95, 95% CI=0.84-1.08, P=0.426) existed compared to GA. Similarly, no association was detected in different subgroups of RFS. In conclusion, this meta-analysis indicated there was no association between neuraxial anesthesia and prognosis of prostate cancer patient after surgery.
FACTOR AFFECTING GROSS DOMESTIC PRODUCT ( GDP ) GROWTH IN MALAYSIA

Gross Domestic Product (GDP) growth has always been treated as current issue that studied by many researchers. Inconsistency growth of GDP per capita within a country will lead to higher incidence of poverty as well as hinder the progress in health, education, crime and eventually the economic growth. The factors towards GDP growth are relatively important to prevent the occurrence of socio-political instability. This paper investigates the relationship between Gross Domestic Product (GDP) growth and the factors such as Inflation, Foreign Direct Investment (FDI) and Female Labor Force Participation in Malaysia. Annual time series data for the 1982 to 2013 periods, the Ordinary Least Square Method (OLS) and Augmented Dickey Fuller (ADF) are used for the analysis. The results identify that among the factors of FDI and Female Labor Forces have positive impact on GDP growth. However, FDI is the only variable that contributes significantly to GDP growth in Malaysia. Moreover, Inflation correlated negatively with GDP growth but it is not significant factor towards GDP growth in Malaysia. Furthermore, it is found that the GDP, Inflation, FDI and Female Labor Forces are stationary in levels. Based on the result, it is suggested by maintaining the stability on inflation; Malaysian government can increase tax and reduce government spending in order to reduce the inflationary pressure. In addition, identify solutions for current economic obstacles.
Chapter 2 Rotational and Translational Diffusion in Ionic Liquids

Dynamic glass transition and charge transport in a variety of glass-forming aprotic ionic liquids (ILs) are investigated in wide frequency and temperature ranges by means of broadband dielectric spectroscopy (BDS), pulsed-field gradient nuclear magnetic resonance (PFG NMR), differential scanning calorimetry and dynamic mechanical spectroscopy. On the low-frequency side, the dielectric spectra exhibit electrode polarization effects, while hopping conduction in a disordered matrix dominates the spectra of ionic liquids at higher frequencies. Upon systematic variation of the molecular structure of the ionic liquids, it is observed that the absolute values of dc conductivity and viscosity span more than 11 orders of magnitude with temperature. However, quantitative agreement is found between the characteristic charge transport and the structural α-relaxation rates. These results are discussed in the context of dynamic glass transition-assisted hopping as the underlying mechanism of charge transport in the ionic liquids investigated. In addition, a novel approach to determine diffusion coefficients from dielectric spectra in quantitative agreement with PFG NMR is proposed. This makes it possible to separately determine the effective number densities and mobilities of the charge carriers and the type of their temperature dependence. The observed Vogel–Fulcher–Tammann (VFT) dependence of the dc conductivity is shown to be due to a similar temperature dependence of the mobility while Arrhenius type of thermal activation is found for the number density. J. Sangoro (&) T. Cosby Department of Chemical and Biomolecular Engineering, University of Tennessee, 1512 Middle Drive, Knoxville, TN 37932, USA e-mail: jsangoro@utk.edu T. Cosby e-mail: jcosby3@vols.utk.edu F. Kremer Institute of Experimental Physics I, University of Leipzig, Linnestr. 5, 04103 Leipzig, Germany e-mail: kremer@physik.uni-leipzig.de © Springer International Publishing Switzerland 2016 M. Paluch (ed.), Dielectric Properties of Ionic Liquids, Advances in Dielectrics, DOI 10.1007/978-3-319-32489-0_2 29
Search bias, language bias and genetic programming

The use of bias with automated learning systems has become an important area of research. The use of bias with evolutionary techniques of learning has been shown to have advantages when complex structures are evolved. This is especially true when the semantics of the evolving population of structures is not explicitly represented or analysed during the evolution. This paper describes a framework which brings together two types of bias, namely search bias (the way new structures are created) and language bias (the form of possible structures that may be created). The resulting system extends genetic programming (GP) by allowing declarative bias with both the form of possible solutions that are created and the method by which they are transformed.
Dynamic Modelling and Parameter Identification for Cable-Driven Manipulator

Cable-driven manipulators (CDMs) have several advantages, but unknown dynamic characters restrict their control performance. The motors of CDMs are placed at the base and power is transmitted by cables between the motors and driving pulleys. These cables interact with the links of the manipulator, which poses a challenge for obtaining the dynamic model. In this study, the interaction between cables and manipulators is analysed, and a dynamic model is derived based on Newton–Euler method. To eliminate excessive variance in recursive equations, the impact of pretension force is considered and some equivalent assumptions are proposed. To improve the accuracy of parameter identification, limited terms of Fourier series are adopted for the identification trajectory. Considering various limitations of CDMs, such as maximum joint angle, speed and acceleration, artificial bee colony algorithm is used to optimize the coefficients of the identification trajectory. Simulations verify that the dynamic model can precisely calculate the driving torque of CDMs. Moreover, parameter identification experiment affirms the efficiency of the proposed parameter identification method.
Irbesartan reduces chronic ischemic myocardial injury by up-regulating connexin 43 expression in rats

This study was conducted to investigate the impact and possible mechanisms of irbesartan on the expression of gap junction protein 43 (connexin, Cx43) in rats with myocardial injury. Fifty rats (8-12 week old, weighting 300 ± 50 g) were used as model of chronic myocardial infarction. The rats were divided into sham (thoracotomy only), infracted models without or with irbesartan treatment for two weeks. The survived rats were measured for heart rate (HR), left ventricular systolic pressure (LVSP), left ventricular end diastolic pressure (LVEDP), the maximal rate of rise of left ventricular pressure (+dP/dtmax) and the maximal rate of decrease of left ventricular pressure (-dP/ dtmax), apoptosis assay using the TUNEL method and Cx43 level using immunofluorescence microscopy, qRT-PCR and Western blot. The levels of cardiac troponin I (cTnI) were also determined. Compared with sham group, infarction group had significantly more apoptotic cells (P < 0.05) and reduced levels of Cx43 at both protein and mRNA levels (P < 0.05). Compared with infarction group, irbesartan reduced the downregulation of Cx43 expression. cTnI contents were 6.37 ± 0.98 ng/ml in sham group, 10.97 ± 1.28 ng/ml in infarction model and 7.65 ± 0.41 ng/ ml in irbesartan group, suggesting that irbesartan has protective effect on myocardial tissue. It is concluded that Irbesartan protects myocardial cells from chronic ischemic injury by increasing Cx43 expression in myocardial cells.
A Probabilistic Packet Marking Scheme with LT Code for IP Traceback

Nowadays, Internet has become the most important technology in daily life. Due to the convenient internet, it brought many security issues in the modern world. In order to overcome these problems, Network Forensics is a good technique to handle such situations. Distributed Denial of Service (DDoS) is one of the most seriously attacks which harms the internet. In order to suspend the victim's service to legitimate users, attackers send many packets to the victim. The servers in victim side will be memory leak and CPU overload when they are under attacked. We need a mechanism to find the attack source and stop the attack. IP Traceback is a great method which is used to reconstruct all the attack paths and find the attack source. A good IP Traceback method needs a great marking scheme which could reconstruct all the attack paths correctly. Probabilistic Packet Marking (PPM) is the more efficient scheme currently. However, it needs lots of marking information to reconstruct all the attack paths. We propose the LT Code IP Traceback (LTCIT) to find the source of attack and reconstruct attack path. It uses the features of Luby Transform Code (LT Code) and the features of Dynamic Probability to mark the partial information of the router to the packet, and then use the decoding method to reconstruct all the attack paths. We will show different performance metrics to evaluate the IP Traceback schemes. The simulation shows that our LTCIT mechanism provides better performance than the traditional IP Traceback scheme.
A Common-Sense Hardware Accelerated Approach for Context Modeling and Reasoning

Enabling Ambient Intelligence systems to understand the activities that are taking place in their surroundings is a rather complicated task that cannot be successfully addressed if the mechanisms that entitle humans to succeed in this task are ignored or overlooked. In this sense, it is the common-sense knowledge and reasoning capability which characterizes human rationality and cognition. This work is therefore motivated by the conviction that only by encompassing common-sense into the Ambient Intelligence systems could they be entitled to understand the context and to react to it. However, there are some difficulties that need to be resolved before commonsense capabilities can be fully deployed to Ambient Intelligence. Among those issues, response time and efficiency features are two aspects that yet need to be improved. In this endeavor, this work presents a hardware accelerated implementation of a common-sense knowledge-base system. Keywords-common-sense; context reasoning and understanding; FPGA; hardware-accelerated;
FLEXIBLE MANUFACTURING SYSTEM SCHEDULING BY USING A GENETIC ALGORITHAM

The paper is addresses the how genetic algorithms (GA's) can be applied to scheduling jobs for simple manufacturing shop models, this paper shows how they can be used to schedule jobs for some of the more complex standard models. The simplicity of the methods presented, and the use of proprietary spreadsheet software and GA 'add-in' to implement them, support the conjecture that GA's can provide a highly flexible and user-friendly solution to the general shop scheduling problem.