Miracle-dz/UniFAR-FTUs huggingface dataset:
Geometrical and Kinematic Analysis and Experimental Modeling Duplexes of Khunik

The duplexes of Khunik are located at a distance of 18 kilometers in south of Qayen City with a trend of northeast to southwest. Khunik fault is a right-lateral strike-slip fault with a thrust component. Based on the geometry of the duplexas, region was built from two structures of horse tail. In duplexes of this area, are faults have strike-slip mechanism with thrust component. Based on determining of the paleo stress phase, and analysis of existing fractures and shortening trends caused by compression on duplexes of the region, was determined compression, mechanism and it was with maximum axis of N115 stress. The shortening rate was determined as 27.3percent and a total equivalent to 187 meters along the fault by using experimental modeling method in laboratory, which is corresponded with the calculation of the region parameters. According to field surveys and empirical modeling, region duplex has imbricate duplex model.
Optimized Moving Body Behavior Recognition Model Based on Multi Texture Gradient Feature

In order to guarantee the validity of the feature extraction, and more accurately identify moving body, an optimized moving body behavior recognition model is put forward based on multi texture gradient feature. Firstly, a similarity transformation between target model and candidate model is defined. In data processing, background weighting based on histogram in initial target model is introduced to optimize the background gradient. Then some particles are sampled in the iteration optimization of Mean shift algorithm and the gradient features are optimized by the multiplicative fusion of color and LBP texture features. The simulation experiments show that this improved Mean shift algorithm has better convergence and higher accuracy in moving human behavior recognition.
In Vitro Experimental Investigation Into the Effect of Compliance on Models of Arterial Hemodynamics

Compliant (flexible) structures play an important role in several biofluid problems including flow in the lungs, heart and arteries. Atherosclerosis is a vascular disease which causes a remodelling of the arterial wall causing a restriction (stenosis) by thickening the intima and the formation of vascular plaque by the deposit of fatty materials. This remodelling alters the compliance of the artery stiffening the arterial wall locally. A common location for this to occur is in the carotid artery which supplies blood to both the brain and the face. It can lead to complete occlusion of the artery in the extreme case and is a major cause of stroke and ischemic infarction. Stroke is the third largest cause of death in the U.S.A. , but even if not fatal it can cause coma, paralysis, speech problems and dementia. Atherosclerosis causes a change in the local hemodynamics. It can produce areas of flow separation and low wall shear stress, which can lead to endothelial dysfunction and to promotion of plaque growth. In-vitro modelling with artificial flow phantoms allows the fluid mechanics of the circulatory system to be studied without the ethical and safety issues associated with animal and human experiments. Extensive work has been performed using both experimental and computational techniques to study rigid models representing the arterial system. Computational methods, in which the equations governing the flow and the elastic walls are coupled, are maturing. There is a lack of experimental data in compliant arterial systems to validate the numerical predictions. This thesis sets out to address the problems associated with the in vitro experimental analysis of compliant structures representing the human vasculature. A novel construction technique that produced idealised compliant geometries representing both a healthy and stenosed carotid artery from transparent silicone material was developed. A complete analysis was performed of the circumferential and longitudinal response of the geometry, which allowed for dynamic similarity between in vitro and in vivo conditions to be
Importance of Quality in Health Care Sector

Customer satisfaction is the most important parameter for judging the quality of service being provided by a service provider to the customer. Positive feedback from the customer leads to the goodwill of service providers in the market, which indirectly expands their business, whereas negative feedback makes it shrink. This theory is also applicable to health care providers. Nowadays, patients are aware of their rights in terms of health care services and the quality of health care services being delivered to them. There are various tools or indicators which are set to provide the quality of services for patients without any acquired infection. In this article, literature review has been done to study various tools given by distinct authors and customer satisfaction and quality indicators given by health organizations to measure quality in the health care sector.
Criterion for robustness of global asymptotic stability to external perturbations of linear time-varying systems

ABSTRACT In this paper, we establish a new criterion for robustness of global asymptotic stability of zero solution of LTV system in the presence of external perturbations (disturbances). To prove the result, logarithmic norm will be used under which the stability becomes a topological notion depending on the chosen vector norm in the state-space
Bayesian Mixture Labeling by Minimizing Deviance of Classification Probabilities to Reference Labels

Solving label switching is crucial for interpreting the results of fitting Bayesian mixture models. The label switching originates from the invariance of posterior distribution to permutation of component labels. As a result, the component labels in Markov chain simulation may switch to another equivalent permutation, and the marginal posterior distribution associated with all labels may be similar and useless for inferring quantities relating to each individual component. In this article, we propose a new simple labeling method by minimizing the deviance of the class probabilities to a fixed reference labels. The reference labels can be chosen before running MCMC using optimization methods, such as EM algorithms, and therefore the new labeling method can be implemented by an online algorithm, which can reduce the storage requirements. Using the Acid data set and Galaxy data set, we demonstrate the success of the proposed labeling method for removing the labeling switching in the raw MCMC samples.
Quality Factor Compensation of Single Mode Optical Fiber by using Uniform Fiber Bragg Grating

This paper discusses the studies properties of the optical transmission system in optical fiber based on bragg gratings and uniform fiber Bragg gratings used through fiber optic of the two channel and stimulations are performed using Optisystem software . Due to its versatile advantages Fiber Bragg grating are widely used in many optical systems as band filters, dispersion compensators, in-fiber sensors or fiber grating lasers and amplifiers. By simulating a model of communication system and using the most suitable settings of the system which include input power (dBm), fiber cable length (km), there are two different parameters that will be investigated which are Bit Error Rate( BER) and Qulity Factor (Q )at the receiver.
A STUDY ON THE USE OF ONLINE PUBLIC ACCESS CATALOGUE (OPAC) BY STUDENTS AND FACULTY MEMBERS OF UNNAMALAI INSTITUTE OF TECHNOLOGY IN KOVILPATTI (TAMIL NADU)

This paper aims to present the results of a survey conducted to determine the effective use of online public access catalogue (OPAC) at the library of Unnamalai Institute of Technology in Kovilpatti. The paper examines the result from a questionnaire-based survey conducted at the library. 150 samples of the questionnaire was distributed randomly between the staff and students of Unnamalai Institute of Technology in Kovilpatti,out of which 130 completed and valid questionnaires (86.67 %) were received for analysis. The data received from the respondents through these questionnaires was analyse. The paper discusses various aspects of OPAC such as frequency of use, purpose, ease of use, satisfaction level, etc. An attempt is also made to explore the reasons for the least used search options of OPAC. The results of the study reveal that a significant number of users search information regarding the library material through OPAC despite encountering problems. Lack of basic skills among users was found to be the major reason for not utilising full features of OPAC. It is suggested that library should organise quality instruction programmes to improve knowledge and skills of the users.
Exploring the behavioural aspects of migration decisions in the biography of a returner

While a growing number of national migration policies seek to influence behaviour related to different aspects of migration, the efficiency of such policies in the absence of a coherent conceptualization of these types of behaviour is at least to be evaluated as doubtful. The predominant policy mantra, the optimistic ‘migration for development’ perspective is not backed up with an empirically supported theoretical explanation of how micro level migration behaviour and system level socio-economic developments interact with each other. This paper, through briefly reviewing the behaviour models used within migration literature, proposes the adoption of a dynamic model of economic behaviour as an interpretative framework in migration and development research and makes a first step in exploring the explanatory power of such a model using the biography of a Hungarian returner from Spain.
Bose–Einstein Condensation Nuclear Fusion: Role of Monopole Transition

Based on a single conventional physical concept of Bose–Einstein condensation of deuterons in metal, theory of Bose–Einstein condensation nuclear fusion (BECNF) has been developed to explain many diverse experimental results. We investigate the role of monopole transition in BECNF theory, assuming a collective monopole vibrational excited nuclear state in 4He. Using the threshold resonance reaction mechanism, we derive formulae for S-factor, which can be used in BECNF theory to obtain the nuclear reaction rate. We find the reaction rate for this reaction is far greater than other exit reaction channels. The proposed monopole transition mechanism is capable of dissipating fusion energy into vibrational (phonon) energies in metal. Experimental tests of the monopole transition mechanism are proposed. © 2012 ISCMNS. All rights reserved.
A vision of the e-healthcare era

A vision of the e-healthcare era is developed using scenarios from today and for the future. The future of e-healthcare is based on empowering individual patients with current information about diagnosis and treatment for personal decision-making about their health without ever visiting a healthcare facility. Empowering the patients is made possible with a futuristic personal medical device (PMD). The PMD is a "black box", which works in conjunction with the internet and locally stores expert system programs. The PMD has various accessories available to help with diagnosis besides voice and image capabilities. The article develops greater in-depth concepts to help the patient learn more on his/her own.
Signal Language Recognition System Through Convolutional Neural Network Embedded in Raspberry PI 3

This paper presents an embedded system for the identification of sign language through an algorithm developed in Python 3.5 together with the help of the libraries Keras and Tensorflow. Thus, a CNN (Convolutional Neural Network) with a DAG (Directed acyclic graph) architecture on a Raspberry Pi 3 card with accuracy of 82.92% is developed and used. For this, 3 datasets are used (training, testing and validation), of which each dataset is made up of 24 categories of grayscale images with 64x64 px resolution, where each of the categories represents a letter of sign language. In addition, tests performed in real time with the network once trained both with different environments and with different users are shown in order to validate the data obtained in the training, thus finding its remarkable accuracy mentioned above.
Effect of carotid atherosclerosis on mild cognitive impairment

：Objective To examine theeffect of carotid atherosclerosis on mild cognitive impairment (MCI). Methods 1886relatively healthy Guangzhou residents without history of stroke, myocardial infarction,pulmonary heart disease and malignant tumor were recruited in this study by simple randomselection.MCI and carotid color ultrasound were measured in these subjects by using theMini Mental State Examination (MMSE), the 10-word list learning task (CWL) and commoncarotid artery intima-medial thickness (IMT) as indicators.Results ( 1 ) The 300 ( 15.9% )subjects with MCI were identified.No significant difference in MCI prevalence between thesexes was identified. (2) Significant associations between CWL and traditionalcardiovascular risk factors, such as older age, smoking and increased waist circumference,blood pressure and lipids were found. (3) After adjusting for multiple potentialconfounders,increasing IMT was significantly associated with both decreased CWL ( β = - 1.05, 95% CI: - 1.73-- 0.36) and MMSE score ( β = - 0.95,95% CI: - 1.67 - 0.23 ). (4) After adjusting for age,sex,education, physical activity, smoking, waist circumference and high- and low-densitylipoprotein cholesterol, IMT was significantly thicker in the MCI group than the normal(0.76 mm vs 0.74 mm, F =6.9,P ＜0.01 ). Conclusions The severity of MCI was significantlyand linearly associated with increasedIMT, suggesting that preventing atherosclerosis mayhelp to reduce the incidence and development of dementia. Key words: Carotid artery diseases; Cognition disorders; Mentalstatus schedule; Memory
Microbiota Diversity, Screening and Molecular Characterization of Shigella sp. from Estuarine Fishes

An attempt has been made in the present study to assess the gut microbial diversity of fishes through biochemical and molecular approaches. Fishes such as Mugil cephalus, Tilapia mosambicus, Etroplus suratensis, Mystus gulio and Cranx ignobilis were collected from an estuarine environment. The influence of UV mutation on enzymatic activity was studied. Finally, the variation in molecular genetics of both wild and mutant Shigella sp. was assessed by RAPD-PCR analysis. Total viable colonies in the gastro-intestinal tract varied considerably. The average CFU/g gut sample was maximum (3.0 CFU/g) in M. cephalus and minimum (0.76 CFU/g) in M. gulio. Altogether 12 bacterial genera were identified and Shigella sp. was characterized for its extracellular enzyme production, indicating that production was dependent on host species. Further, a study of mutagenesis in this species indicated that non-producers of enzyme turned to producers. The RAPD-PCR profile of wild and mutant strains of Shigella sp. indicated the existence of 6 bands with a base-pair range of 233 to 1871. Thus, UV mutagen altered the enzymatic characteristics as well as the amplification of DNA fragments in Shigella sp. _____________________________________________________________________________________________________________
Context effects in second language acquisition: formal instruction, study abroad and immersion classrooms

This volume within the EuroSLA Studies Series has been motivated by two fundamental reasons. Firstly, the assumption that applied linguistics research should first and foremost deal with topics of great social relevance, and, secondly, that it should also deal with topics of scientific relevance. Both ideas have led us to choose the theme ‘contexts of language acquisition’ as the topic around which the monograph would be constructed. The aim of this introduction is to set the scene and present the three contexts on focus in the monograph and justify this choice of topic within second language acquisition (SLA) research, the perspective taken in this volume. Starting with the latter, in the past two decades the examination of the effects of different contexts of acquisition has attracted the attention of researchers, based on the idea that “the study of SLA within and across various contexts of learning forces a broadening of our perspective of the different variables that affect and
A COMPONENT-BASED ARCHITECTURE FOR PROTOCOL DESIGN AND DEVELOPMENT IN SDR FRAMEWORKS

The increasing interest in software defined radio (SDR) as enabling technology for defining and developing advanced wireless systems, e.g. mobile ad-hoc networks (MANET) with high degree of adaptivity and ability to (re)configure in application scenarios, motivates research efforts in developing methods and tools for supporting a complete and sound design flow, that encompasses i) waveform/protocol specification, ii) thorough validation through accurate simulations and early stage testing, and then iii) rapid code development on selected target platform. This paper proposes a SW architecture which derives from the application of a new methodology fors synthesis, design and analysis, called Tissue Methodology. The proposed architecture aims at reducing the development time through the use of reconfigurable SW components and the application of automatic code generation techniques.
N ov 2 01 9 Definable f-Generic Groups over p-Adic Numbers

The aim of this paper is to develop the theory for definable f -generic groups in the p-adic field within the framework of definable topological dynamics, here the “definable f-generic” means a definable group admits a global f-generic type which is definable over a small submodel. This “definable f -generic” is a dual concept to “finitely satisfiable generic”, and a useful tool to describe the analogue of torsion free o-minimal groups in the p-adic context. In this paper we will show that every definable f -generic group definable in Qp is eventually isomorphic to a finite index subgroup of a trigonalizable algebraic group over Qp. This is analogous to the o-minimal context, where every connected torsion free group definable in R is isomorphic to a trigonalizable algebraic group (Lemma 3.4, [2]). We will also show that every open definable f -generic subgroup of a definable f -generic group has finite index, and every f -generic type of a definable f -generic group is almost periodic, which gives a positive answer on the problem raised in [13] of whether f -generic types coincide with almost periodic types in the p-adic case.
Multiobjective Deterministic Economic- Emission Load Dispatch Optimization Problem using Firefly Algorithm

Environmental pollution is on the increase due to industrial advancement. Due to the environmental concerns that arise from the emissions produced by fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Thus, by environmental dispatch, emissions can be reduced by dispatch of power generation to minimize emissions. The economicemission load dispatch problem has been most commonly solved using a deterministic approach. However, power generated, system loads, fuel cost and emission coefficients are subjected to inaccuracies and uncertainties in real-world situations. This paper describe and Introduce a new nature Inspired Artificial Intelligence method called Firefly Algorithm(FA). The Firefly Algorithm is a stochastic Meta heuristic approach based on the idealized behavior of the flashing characteristics of fireflies. The aim is to minimize NOx emission and the generating unit’s combined fuel cost having quadratic cost characteristics subjected to limits on generator real power output & transmission losses. This paper presents an application of the FA to EELD for different Test Case system. The obtained solution quality and computation efficiency is compared to another artificial intelligence technique, called Genetic algorithm (GA) . The simulation results show that the proposed algorithm outperforms previous artificial intelligence method.
Sparse Hypergraphs with Applications to Coding Theory

For fixed integers $r\ge 3,e\ge 3,v\ge r+1$, an $r$-uniform hypergraph is called $\mathscr{G}_r(v,e)$-free if the union of any $e$ distinct edges contains at least $v+1$ vertices. Brown, Erd\H{o}s and S\'{o}s showed that the maximum number of edges of such a hypergraph on $n$ vertices, denoted as $f_r(n,v,e)$, satisfies $$\Omega(n^{\frac{er-v}{e-1}})=f_r(n,v,e)=\mathcal{O}(n^{\lceil\frac{er-v}{e-1}\rceil}). $$ For $e-1\mid er-v$, the lower bound matches the upper bound up to a constant factor; whereas for $e-1\nmid er-v$, in general it is a notoriously hard problem to determine the correct exponent of $n$. Among other results, we improve the above lower bound by showing that $$f_r(n,v,e)=\Omega(n^{\frac{er-v}{e-1}}(\log n)^{\frac{1}{e-1}})$$ for any $r,e,v$ satisfying $\gcd(e-1,er-v)=1$. The hypergraph we constructed is in fact $\mathscr{G}_r(ir-\lceil\frac{(i-1)(er-v)}{e-1}\rceil,i)$-free for every $2\le i\le e$, and it has several interesting applications in Coding Theory. The proof of the new lower bound is based on a novel application of the lower bound on the hypergraph independence number due to Duke, Lefmann, and R{\"o}dl.
Methods for Improving Performance of Robotic Pick & Place System for ARC 2017

In this paper, we provide details of several improvements that have been made to our Pick & Place robot which will be used in the upcoming ARC 2017 competition. An UR5 / UR10 system with fixed base has been selected for our system. The major technological improvements which are being included are as follows. (1) A set of new deep learning methods combined with a hierarchical two step strategy is employed to improve the detection performance and deal with new objects which will be made available only during the competition. (2) A new gripper is being designed that will combine both suction and gripping to improve the ability to pick and place all kinds of objects including non-rigid deformable objects. (3) A new grasping algorithm that combines image features with depth information for grasp pose detection and computation of suitable graspable affordance for a given object. (4) An automated system is developed for automating the generation of annotated templates necessary for training deep networks which require large amount for training. (5) The motion planning of the robot is improved using RRT algorithm along with flexible collision library (FCL) and Octomap to avoid collision with obstacles. The current system is implemented using standard ROS services and we are able to achieve a pick rate of 2-3 objects per minute.
Approach to Gastroesophageal Reflux: A Cause of Chest Pain in Infants with Congenital Heart Disease

The life expectancy and quality of life of infants with congenital heart disease have increased in the last 30 years with significant advances in technological facilities, treatment methods, and surgeries. GER is a condition that can be seen in infants with CHD, which needs to be well followed up and to be differentiated between physiological and nonphysiological reflux. GER is a physiological condition that is common in infants with CHD and usually resolves spontaneously in the first 6–12 months of life. If the baby has adequate weight gain and nutrition status and there is no abnormal restlessness, the baby is considered to be uncomplicated GER. GERD is a pathological clinical entity that is accompanied by insufficient weight gain, esophagitis, and persistent respiratory system findings. When gastroesophageal reflux disease is considered, the first thing to be done is to complete the detailed anamnesis and physical examination of the infant. The reflux status of the infants can be examined with the surveys that were prepared for GERD and followed up for 1–2 months. If necessary, diagnostic methods such as esophageal pH monitoring and radiological and endoscopic examinations can be used. Conservative approaches such as thickening of formulas and thickening of formulas and positional feeding are the the first treatment approaches for reflux.