Miracle-dz/UniFAR-FTUs huggingface dataset:
THE CHAPERONING AND THE IMMUNE SYSTEMS WITH THE MICROBIOME INTEGRATE A MATRIX THAT SUPPORTS HEALTH: WHEN ONE OF THEM IS DISTURBED THE OTHERS SUFFER AND DISEASE ENSUES

Health, namely good health, depends on the interplay of factors pertaining to the body and to the environment in which the body has evolved and is currently immersed. Here, we consider three pillars of human health: the chaperoning and the immune systems (CS and IS, respectively) and the microbiome (ME). Evolutionarily, it appears that the CS preceded the IS both being essential to defend the organism against stressors and infectious agents, respectively. Presently, the two systems interact extensively, probably the result of millennia of parallel evolution in increasingly complex life forms requiring the cooperation of the two systems for survival. The ME in humans has established itself mainly in the body cavities such as the mouth and the genitourinary and gastrointestinal tracts. Therefore, the ME can be considered a portion of the environmental microbes that during evolution and development has also become a part of the body. Its role in health and disease is incompletely understood but it is already known that it interacts with the IS and, through the IS, it has an impact on the CS. In this article, we discuss diseases caused by failure of the CS. Molecular chaperones, the core components of the CS, can be abnormal and cause pathological conditions named chaperonopathies. These conditions may be genetic or acquired and can affect practically all types of cells, tissues, and organs. Consequently, the chaperonopathies are of interest to all medical specialties and we present Alberto J. L. Macario, M.D. 1, Everly Conway de Macario, Ph.D. 1 1 Department of Microbiology and Immunology, School of Medicine, University of Maryland at Baltimore; and Institute of Marine and Environmental Technology (IMET), Columbus Center, Baltimore, MD, USA; and Euro-Mediterranean Institute of Science and Technology (IEMEST), Palermo, Italy.
Employees' Perceptions about Online Training Courses in Saudi Arabia

This study aims to explore employees’ perceptions about online training courses in Saudi Arabia by reviewing related studies that focused on online learning. Employees’ perceptions about online training courses are a major research inquiry because the concerns and fears of the employees might interfere with the objectives of their training courses. The question that will guide this paper is what are the perceptions about online training courses for employees working at healthcare organizations in Saudi Arabia? Within the literature, ten peer reviewed articles selected and reviewed address the following themes (1) Online learner’s perceptions and (2) context and perceptions. The findings will give insights into the perceptions and worries of the future trainees that will help instructional designers understand how the trainees can be satisfied and how to design a program for such trainees.
An extended Langmuir model for adsorption of gas mixtures on heterogeneous surfaces

A model is presented for calculating the adsorption from gas mixtures on energetically heterogeneous adsorbents. It assumes a uniform distribution of adsorption energies and the applicability of the extended Langmuir model for adsorption from gas mixtures on each patch of surface of uniform energy. The model can be used directly to calculate mixed gas adsorption with only pure gas data at, at least, two temperatures. However, a special case of the model is derived which allows for an analytical solution and which requires pure gas data only at one temperature. The analytical form of the model is tested against considerable mixed gas adsorption data with satisfactory results. The model also compares well with other models. Moreover, it is explicit with respect to the component amount adsorbed from a gas mixture, is noniterative, and provides savings in computation.
Analysis , Modeling , and Measurement of Shielding Effectiveness for a Cylindrical Waveguide with a Hexagonal Insert Structure

A theoretical model is presented for the shielding effectiveness of a waveguide containing an insert consisting of several smaller hexagonal or “honeycomb”shaped waveguides. FEKO, an electromagnetic modeling software package, is used to create computer-aided design (CAD) models of physical waveguides, and to find solutions for the TE11 mode of propagation for each model using the Finite Element Method (FEM). S-parameters are used to characterize the shielding effectiveness of the waveguide models through simulation in FEKO and measurement of waveguide samples in the laboratory. The results obtained by each method are compared and discussed. Index Terms – Attenuation, computer-aided design, cutoff frequency, electromagnetic compatibility, finite element method, honeycomb insert, shielding effectiveness, Sparameters, simulation, waveguides.
Applications with a Radiation Pattern in the Horizontal Direction

v Chapter One: Introduction.1 1.1 Microstrip antenna.1 1.2 Rectangular microstrip antennas.2 1.3 Review of relevant work.4 1.4 Thesis outline.5 1.5 Research objective.5 Chapter Two: Microstrip Antenna Design and Analysis.6 2.1 Theoretical background of microstrip Antenna.7 2.1.1 Feeding methods.7 2.1.2 Fringing effects.9 2.1.3 Resonance frequency.10 2.1.4 Bandwidth.10 2.1.5 Radiation efficiency.11 2.1. 6 Radiation patterns and directivity.11 2.2 Construction of regular microstrip antenna.13 2.3 Simulation for regular microstrip antenna.15 Chapter Three: Analysis and Design of Antenna Geometry.18 3.1 Results.22
Cross-Culture Business Communication by Emoji in GMS

Emoji has developed rapidly on Internet in recent years and plays an important role in cross-cultural communication. But whether it can be adopted in the communication by people in Southeast Asia remains a problem. Furthermore, whether graphical symbols like emoji are capable of working as a pre-trade supplementary approach of information exchange in GMS area, considering limitations like agriculture-led population and diverse minority languages. Besides, English is not universally adopted in this area, so it’s hard for people there to use English as an intermediate language. To respond to this question, we conducted two Web-based experiments through six groups of participants, in some Southeast Asia countries. The results showed that the people in South & Southeast Asia are able to share their feelings through common emoji on Internet. Beyond that, some statements consist of extended and intelligible graphical symbols with a specific rule can also convey business information. Keywords—emoticons; graphic symbols; cross-cultural communication; business communication
The Control and Simulation of ADRC-based for VSC-HVDC System

The high voltage direct current transmission based on voltage source (VSC HVDC) technology has been widely used in transmission areas. Aimed at the problem of the low Steadystate accuracy and weak anti-interference ability for the traditional PI control, a control strategy based on ADRC was proposed. The mathematical model of the system was set up. Sending system and reception system were designed by ADRC. Fall function was used for out ring of sending system and PI control was used for inner ring. DC voltage control was used for out ring of reception system, Current and reactive power control was used for inner ring. With Matlab/Simulink the designed controller were simulated and the results were better than the traditional controller in control performance. Introduction With the energy shortage and environmental pollution issues have become increasingly severe, wind, solar and other renewable energy continues to expand the scale, its inherent dispersion, small nature, away from the load centre and other features, making traditional HVDC technology seems very economical networking. Some offshore drilling platforms, isolated islands and other passive load, mostly using expensive local power plant, not economic, but also pollute the environment [1]. In addition, the rapid increase in urban electricity load, the need to continue to expand the capacity of the grid. This requires a new HVDC technology to solve these problems. The use of inverter and pulse width modulation (PWM) voltage source based on the type of device can be turned off new technology HVDC technology (VSC-HVDC) can solve this problem [2]. From the operation of the technical characteristics and practical engineering point of view, it is suitable for renewable energy grid, power islands, urban power grid and other fields. Using VSC-HVDC power supply to a number of islands, may limit the short circuit capacity of the system, while the DC line in terms of investment, operating costs, long-distance transmission equipment, etc. do not need to add compensation with respect to the AC line has advantages. For some large urban power supply system, the adoption of VSC-HVDC, can not only improve the quality of the supply of electricity, but also can improve system stability [3]. Therefore, the VSC-HVDC will play a huge role in the next city Uprating baking. Establish the mathematical model of VSC-HVDC system Fig.1 The structure of voltage source converter Set up a three-phase grid voltage balance, according to Figure 1’s Topology, can obtain synchronously rotating coordinate system’s Mathematical model. International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2015) © 2015. The authors Published by Atlantis Press 1724 ) ( 2 3 2 d sq q sd d dc q sq sd sd sq d sd sd sq sd i i s i s dt du C u u R i w Li dt di L u u R i w Li dt di L − + = − = + − − = + −
Determination of part orientation to minimize post-machining in laminated object manufacturing using genetic algorithm

Laminated object manufacturing (LOM) is a rapid prototyping (RP) technology which can rapidly fabricate 3D physical model using layered manufacturing (LM) process. Hence, the RP such as LOM has been widely applied in manufacturing fields. However, the surface of the RP processed part is excessively rough to use industrial purpose due to the LM process itself. In order to improve the surface quality, additional post-machining such as coating and grinding process is required. These machining, however, are also detrimental to the original geometry of the part and is time consuming. In this paper, an intelligent methodology is proposed to minimize the machining area (PMA). An expression of the distribution of surface roughness is presented and the PMA is defined as an objective. Also, a genetic algorithm is applied to obtain reliable solution for complicated 3D CAD models which represent general industrial part. By implementing several applications, validity of the proposed methodology is demonstrated.
Minimizing Shirking in Auctions and Tournaments

The present paper deals with two-player all pay contests in which a tie is due to slacking, showing that to reduce the likelihood of such an occurrence, slackers should be denied any reward, or even punished. The denial of reward, or the punishment, inflicted on substandard performers, may spur some players to bigger efforts, or induce others to avoid contests in which they are unable to meet standards. However denying any reward to those making small but not substandard efforts, would not raise the proportion of those making the maximum effort, while more competitors would abstain from any effort at all, detracting from overall performance. The point allocation rule suggested by this paper is thus shown to improve on its alternatives. The paper proposes changing the rules of point allocation in soccer, to reduce the incidence of non-scoring draws, often the outcome of bad playing or of extreme risk avoidance, expressed in purely defensive game strategies. Under the new rules, a win would award a team with three points, a scoring draw would entitle the teams to one point each, but neither team would receive any points for non-scoring draws. We show that this change would reduce the numbers of games ending in 0:0, while raising the numbers of goals in other games, thus boosting spectator enjoyment.
Consumers’ willingness to pay for agricultural landscape improvements in Lithuania: estimation framework

Agriculture not only supplies food and fibre to the society, but also provides other services, which are not revealed in the market prices. The role of agricultural activities is essential in forming and improving the landscape, in particular, for Lithuanian case study. Therefore, the paper focuses on development of the framework for estimation of consumers’ willingness to pay for agricultural landscape improvements. The objectives of this paper are to present construction of the estimation framework for eliciting willingness to pay (WTP) for nonmarket agricultural landscape goods through choice experiments (CE) in Lithuania; then, to show the results of framework pre-test, and identify applicability of the framework designed. CE is a survey-based method implying creation of repetitive choice situations about alternatives of agri-environmental schemes for revealing how inhabitants of Lithuania value public goods from agricultural landscape (scenic views, variety of flora and fauna species, recreational infrastructure and services, the objects of cultural heritage), enabling to estimate Lithuanian residents’ WTP and the demand for improvements of agricultural landscape. The results of the pilot survey have shown that the questionnaire was comprehensible and interesting to the respondents, revealing that the valuation of agricultural landscape is in demand by the society. The results of modelling, applying conditional logit, have shown a good model fit, allowing the usage of the estimation framework for the main survey and an estimation of consumers’ willingness to pay for public goods/improvements from agricultural landscape.
Exploring the Relationships among Perceived Loafing , Monitoring , and Counterproductive Work Behaviors : The Mediating Role of a Revenge Motive

An important approach of contemporary organizational behavior research is to explore the positive factors promoting organizational performance and to understand the mechanism. In real world, however, there are also negative factors reducing organizational performance called counterproductive work behaviors (CWB). This study explored how colleague loafing perceived (PL) by teachers and monitoring in Taiwan primary and middle school produce CWB. Moreover, revenge motive (RM) was taken as a mediator in our model. A total random sample of 1074 teachers were recruited and measured by CWB Taiwan (CWB-T) survey, perceived loafing scale, monitoring scale, and revenge motive scale. The whole data were analyzed by ANOVA, Pearson correlations, and Structure Equation Modeling (SEM). Results showed that 1) CWB differed by positions of teachers. 2) PL and RM had significantly caused CWB. 3) Monitoring had significantly reduced CWB. 4) RM successfully mediated the effects between the PL and CWB. The current results further provided an empirical proof of present model. Our hypothesis of an existed mediation effect had been supported. The current study hoped that the findings will be able to help educational administrators, policy makers, and researchers in reducing the CWB in campus.
A STABILIZING CONTROLLER FOR STOCHASTIC SYSTEMS WITH UNCERTAIN PARAMETERS

Recently, an observer-based controller was developed for linear stochastic discrete-time dynamical systems with uncertain parameters. The developed state estimator was based on Kalman filter, and it incorporates the statistical information of the uncertain parameters in its structure. Such an estimator has been used to design an observerbased controller for this class of systems. In this paper, the stability of the resulting closed loop system is analyzed in a theoretical frame work. A numerical example and a practical case study are given to illustrate our analytical analysis.
Laser Induced Neuro-Stimulation Analysis for Potential Treatment of Post-Traumatic Stress Disorder

Patients suffering from Post-Traumatic Stress Disorder (PTSD), often experience reduced adenosine triphosphate (ATP) production which leads to decreased neurotransmission ability. The focus of this dissertation is to establish the correlation between the photosensitivity of ATP release and (PTSD). The aim is to exploit the effectiveness of neuro-stimulation to yield higher ATP levels in cells and tissues when induced with a near infrared laser (808 nm). This is addressed by examining the transmittance of light through a variety of transcranial samples obtained from animal models. The study also highlights the comparative analysis of the efficacy of high power laser light on the viability and ATP productivity in neuroblastoma cells (SH-SY-5Y) versus cortical neurons (M-CX-400).
A Synthetic Approach to Pyrazolopyranopyrimidinones and Pyrazolopyranooxazinones as Antimicrobial Agents

The hitherto unknown 6-amino-4-(2-chloro-5-nitrophenyl)-3-methyl-1,4-dihydropyrano[2,3-c] pyrazole-5-carbonitrile 1a was synthesized. Both 1a and its 2,4 dichlorophenyl derivative 1b were utilized as building blocks for the preparation of novel class of pyrazolopyrano-[oxazines 2a–d and pyrimidinones 3a–d]. Synthesis of these compounds was achieved by two alternative acylation steps followed by ammonolysis. The structures of the synthesized compounds were elucidated by spectral data and elemental analysis. Screening and evaluation of these products as antimicrobial agents showed that the derivatives 1b, 2s, 3b, and 3d possess a potent activity.
RAINFALL PREDICTION BY WAVELET DECOMPOSITION

Because of the strong deterministic character of the large-scale (monthly or bimonthly) rainfall data and the strong stochastic character of the small-scale (daily) data, neither deterministic nor stochastic models can produce successful simulations of daily rainfall data. In this paper, a mixed method which combines a deterministic model with a stochastic model is introduced and applied to simulate rainfall data in the Chao Phraya Basin in Thailand. In the proposed approach, the rainfall signal is decomposed into sub-signals with different scales, i.e., a large-scale signal and several small-scale signals. For a given time series and prediction origin , the date corresponding to 0 in previous years y, (e.g. if , and ), is first identified, and signals of daily data in the days periods is decomposed into sub-signals (wavelet tree), where is required to be determined a priori. 0 t t y t
Bayesian Palaeoclimate Inference from Pollen in Southern Italy

We outline a model and algorithm to perform inference on the palaeoclimate and palaeoclimate volatility from pollen proxy data. We use a novel multivariate non-linear non-Gaussian state space model consisting of an observation equation linking climate to proxy data and an evolution equation driving climate change over time. The observation equation linking climate to proxy data is defined by a pre-calibrated forward model, created via a multivariate latent Gaussian process fitted via integrated nested Laplace approximation (INLA). The data for this forward model are taken from a calibration set of modern climate-pollen relationships. The evolution equation representing climate change is driven by a Normal-Inverse Gaussian Lévy process, being able to capture large jumps in multivariate climate whilst remaining temporally consistent. The pre-calibrated nature of the forward model allows us to cut feedback between the observation and evolution equations and thus integrate out the state nuisance parameters whilst making minimal simplifying assumptions. A key part of this approach is the creation of mixtures of marginal data posteriors representing the information obtained about climate from each individual time point. Our approach allows for an extremely efficient MCMC algorithm, which we demonstrate with a pollen core from Lake Monticchio in south-central Italy.
Seasonality and Three-Dimensional Structure of Interdecadal Change in the East Asian Monsoon

Abstract A significant interdecadal cooling with vivid seasonality and three-dimensional (3D) structure is first revealed in the upper troposphere and lower stratosphere over East Asia. A robust upper-tropospheric cooling appears in March and has two peaks in April and August, but in June, a moderate upper-tropospheric warming interrupts the cooling, while strong cooling occurs in the lower stratosphere. The seasonally dependent upper-tropospheric cooling leads to a clear seasonality of interdecadal changes in the atmospheric general circulation and precipitation against their normal seasonal cycle over East Asia. In March, precipitation over southern China (south of 26°N) has increased in accordance with the strong upper-tropospheric cooling occurring in northeast Asia. In April and May, following the southward extension and intensification of the upper-tropospheric cooling, the normal seasonal march of the monsoon rainband has been interrupted, resulting in a drying band to the south of the Yangtze Rive.
Medical Image Compression based on ROI using Integer Wavelet Transform

Medical imaging refers to techniques and processes used to create images of various parts of the human body for diagnostic and treatment purposes within digital health. With the increased use of digital images in clinical settings, it has become necessary to use various compression methods, both lossless and lossy, in order to reduce their cost of storage or transmission. While lossy compression alternatives allow high compression rates, there are legal limitations that such images including MRI, ultrasound, X-Ray and CT-Scan should be stored in a format without loss of information. This work proposes a digital image compression mechanism compatible with the Digital Imaging and Communications in Medicine (DICOM) standard that takes advantage of the IDWT capabilities to preserve the diagnostic quality of the regions of interest, through lossless encoding, while the rest of the image, composed of zones less relevant, is compressed with for JPEG compression. The results, in terms of Compression Ratio, MSE and PSNR are found to be quite satisfactory both quantitatively and qualitatively. KeywordsCompression, JPEG, ROI, Wavelet Transform, Segmentation, DICOM, PSNR. __________________________________________________*****_________________________________________________
Atmospheric Mercury Deposition In An Urban Environment 2006

Atmospheric mercury deposition, known to be a major source of mercury to aquatic and terrestrial environments, was studied at an urban site in Orlando, FL. Precipitation sampling was conducted from September 2003 to May 2006 at a Mercury Deposition Network site located on the University of Central Florida campus. Weekly rainfall and mercury wet deposition data were gathered from this site, which provided the framework of data for this study. Historical mercury wet deposition data from several sites in Florida were used to develop a regression model to predict mercury deposition at any location in Florida. Stormwater runoff from a 2-acre impervious surface at this study area was monitored during the spring and summer of 2005. Runoff water quality was analyzed to characterize mercury dry deposition. Atmospheric monitoring was also conducted during this period to study the interaction of atmospheric constituents on wet and dry deposition patterns. Spatial and seasonal trends for the entire state suggest 80% of Florida’s rainfall and mercury deposition occur during the wet season. A strong linear correlation was established between rainfall depth and mercury deposition (R = 0.8). Prediction equations for the entire state, for both wet and dry seasons, were strongly correlated with measured data. The results of two unique methods to quantify dry deposition were similar at this site during this study period. Runoff monitored at this site contained significant levels of mercury, primarily in particulate form (58%). The vast majority of particulate mercury was flushed from the surface during storm events, while significant dissolved