Miracle-dz/UniFAR-FTUs huggingface dataset:
Low Level Communication Protocol and Hardware for Wired Sensor Networks

This paper describes communication protocol, which was originally designed and implemented for end point communication in smart homes. Due to protocol simplicity and architecture robustness, it is possible to use the whole system for other purposes rather than smart home control. For this purpose, the protocol uses the very common RS485 bus. Using metallic connection nowadays may look like a step back, but it is the fastest and cheapest way to integrate real hardware devices into the existing simulation projects. This paper describes the requirements for the whole hardware and software architecture, emphasizing on the descriptions of the protocol and the lowest hardware layers.
E-optimality conditions for E-differentiable E-invex multiobjective programming problems

In this paper, a class of E-differentiable multiobjective programming problems with both inequality and equality constraints is considered. The so-called E-Karush-Kuhn-Tucker necessary optimality conditions are established for such nonsmooth vector optimization problems. Also, the sufficiency of these necessary optimality conditions are proved for E-differentiable multiobjective programming problems under (generalized) E-invexity hypotheses. Key–Words: E-differentiable vector optimization problem; E-optimality conditions; E-invex set; E-invex function with respect to η.
ON THE INTERDEPENDENCE OF FINNISH AND SWEDISH

This study explores the interdependence of Finnish and Swedish newsprint prices. Since newsprint represents a very homogenous product, the law of one price (LOP) is assumed to hold between the Finnish and the Swedish common currency newsprint prices in the long run. The results support the LOP hypothesis, and the Swedish prices are found to be weakly exogenous, implying that the Finnish prices follow fundamentally the Swedish ones in the long run. Moreover, deviations from the LOP are found to be economically relatively small and short-lived. (JEL: F36, F41)
LOG-IDEAH : LOGic trees for Identification of Damage for Architectural Heritage due to Earthquakes for Architectural Heritage

During the post-earthquake assessment in the historical centre of L’Aquila damaged by the earthquake of 2009, it has been observed that cultural heritage assets are particularly vulnerable to horizontal motions. For this reason, in order to identify the state of damage of architectural assets, an interactive procedure LOG-IDEAH: LOGic trees for Identification of Damage due to Earthquakes for Architectural Heritage aimed at identifying the global behaviours of architectural assets by using logic trees on the basis of the seismic damage collected on the architectural asset under consideration is proposed in this paper. The seismic damage assessment, which is performed on site or by pictures in order to provide the input for LOG-IDEAH, focuses on collecting position, type and level of damage on structural elements and artistic assets that belong to the façades of the architectonic asset under consideration. The interpretation of the damage collected at local level is carried out by using logic trees implemented as a decision-maker which captures the collapse mechanisms according to a specific recognition process defined on the basis of the knowledge and expertise of surveyors. Once this procedure been described in terms of the above-mentioned logic trees, a web-based data collection tool is used for storing the observed damage and the observed collapse mechanisms, while an analysis tool implemented in an answer set program and derived from the logic trees is used to identify the collapse mechanisms. The present work has been developed in the framework of PERPETUATE, an FP7 project funded with the aim of providing European Guidelines for the evaluation and mitigation of seismic risk to cultural heritage assets.
Fluctuation-Induced Momentum Transport and Plasma Flow in the MST Reversed Field

Abstract: For the first time, the fluctuation-induced momentum flux in a stochastic magnetic field has been directly measured in the core of a high-temperature, magnetically-confined, toroidal plasma. Parallel pressure fluctuations play an important role in momentum transport with the magnetic fluctuation-induced momentum flux arising from the correlated product of density and radial magnetic field fluctuations. The measured momentum flux can largely account for changes in plasma flow and momentum redistribution during a magnetic reconnection event. The origin of the momentum flux surge at the sawtooth crash is related to nonlinear interactions that alter the phase relation between density and magnetic fluctuations so as to maximize transport.
A Summary of Strong Ground Motions Observed in the Canterbury , New Zealand earthquake Sequence

This paper provides a summary of the ground motions observed in the recent Canterbury, New Zealand earthquake sequence. The sequence occurred in a region of relatively moderate seismicity, 130km to the east of the Alpine Fault, the major plate-boundary in the region. From an engineering perspective, the sequence has been primarily comprised of the initial 04/09/2010 Darfield earthquake (Mw7.1) followed by the 22/02/2011 Christchurch earthquake (Mw6.3), and two aftershocks on 13/06/ 2011 (Mw5.3 and 6.0, respectively). The dense spacing of strong motions in the region, and their close proximity to the respective causative faults, has resulted in strong ground motions far exceeding the previous catalogue of strong motion observed in New Zealand. The observed ground motions have exhibited clear evidence of: (i) near-source directivity; (ii) sedimentary basin focusing, amplification and basin effect refraction; (iii) non-linear site response; (iv) cyclic mobility post-liquefaction; and (v) extreme vertical ground motions exceeding 2g, among others.
Limits of the Uppsala model application in the internationalization process of Czech SMEs

The paper deals with the limits of the Uppsala model application to conditions of Czech small and mediumsized enterprises. Based on the analysis and processing of primary data collected in 2010-2012 from Czech SMEs operating in various business fields, an incidence of so-called Born Globals was investigated at first, since this phenomenon is not taken into account by the Uppsala model. Furthermore, the Uppsala model assumption that companies first enter markets of lower psychic distance was verified; i.e. the markets which are geographically and culturally close. It was investigated whether this fact is valid for Czech small and medium-sized enterprises and researched if risk perception intensity of Czech SMEs’ internationalization process depends on the number of years spent on the international market. On the basis of the obtained data, it is not possible to unambiguously prove that the basic principles forming a keystone of the Uppsala model are functional in case of the Czech SMEs.
Short-term effects of hunting on naïve black-tailed deer ( Odocoileus hemionus sitkensis ) : behavioural response and consequences on vegetation growth

Hunting is commonly used to reduce overabundant deer populations that are of socioeconomic and ecological concerns. Recently, it has been suggested that “hunting for fear” might help maximize nonconsumptive effects of hunting and their cascading impacts. We investigated how a predator-free black-tailed deer (Odocoileus hemionus sitkensis Merriam, 1898) population introduced to the Haida Gwaii archipelago (Canada) responded to short-term hunting for fear. We conducted a hunt that minimized killing and maximized scaring on an island where some deer were marked. Between control and hunted sites, we compared deer use of bait stations and of shoreline areas (i.e., an open and risky area that provided marine subsidies). We also compared the browsing pressure and growth of two grasses and two shrubs. Hunting for fear had no effect on the overall use of bait stations and shorelines. However, in the area exposed to hunting, unmarked deer, which were assumed to be less tolerant of human disturbance, avoided bait stations at the outset of hunting. We concluded that individuals perceive and respond to risk differently. Furthermore, two of the four plant species were less likely to be browsed and had better growth in the experimental area than in the control area, suggesting an indirect effect of hunting on plants mediated by deer behaviour.
THE IMPACT OF PERCEIVED ORGANIZATIONAL JUSTICE ON TURNOVER INTENTION: EVIDENCE FROM AN INTERNATIONAL ELECTRONIC CHAIN STORE OPERATING IN TURKEY

This paper investigates the impact of organizational justice on the turnover intention of sales representatives of an international electronic chain store operating in Turkey. Data from 156 respondents was used to measure the impact of the perceived organizational justice factor on turnover intention. Exploratory factor analysis has been used to uncover the underlying dimensions of organizational justice. The results of regression analyses indicated that turnover intention of sales representatives have been negatively affected by the perceived level of organizational justice. Some of the control variables were found to have a significant effect on turnover intention.
Chemical composition and biological activities of methanol extract from Macrocybe lobayensis

Over the generations, Macrocybe lobayensis has become an integral part of tribal cuisines of India particularly for its aroma and taste. However, no investigation has been carried out so far on its secondary metabolites that may account for therapeutic potential. Therefore, aim of the present study was to identify major constituents of methanol extract isolated from the wild mushroom and examine spectrum of pharmacological activities. Chemical characterization by spectrophotometry and HPLC depicted that the fraction was mainly consisted of phenolic compounds (p-hydroxybenzoic acid< p-coumaric acid< cinnamic acid< salicylic acid< pyrogallol); while ascorbic acid and carotenoids were detected in lesser extent. In terms of screening medicinal prospects, the extract presented strong radical scavenging activity (DPPH. and ABTS.+), chelating ability of ferrous ion, reducing power and total antioxidant capacity. The methanol formulation also exhibited antibacterial properties against both Gram-positive and Gram-negative strains, with MIC values ranging from 245.13-1585.81 Âµg/ml. Finally, Hep3B human liver carcinoma cells were challenged with the extract to assess cytotoxic effect and result showed concentration dependent decrease in cell viability (IC50 of 234.31 Âµg/ml). Overall, features described in this work provides the first attempt to establish medicinal prospects of phenolic compounds from M. lobayensis empowering its use in pharmaceutical industry.
Turkish Title: Uzun Dönem Probiyotik Uygulamasının Deneysel Sepsis Modeline Bağlı Oluşan İnflamasyon Süreci Üzerine Olan Koruyucu Etkilerinin Araştırılması Turkish Running Head: Probiyotikler ve İnflamasyon Title: The Protective Effects of Long-Term Probiotic Application on Experimental Seps

through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as: Aydoğdu S, Karameşe M, Altoparlak Ü, Karameşe Aksak S. The Protective Effects of Long-Term Probiotic Application on Experimental Sepsis-Dependent Inflammation Process. Bezmialem Science 2018. DOI: 10.14235/bs.2018. 2643 ©Copyright 2018 by Bezmialem Vakif University Available online at www.bezmialemscience. org DOI: 10.14235/bs.2018. 2643
Large Sample Asymptotic for Nonparametric Mixture Model with Count Data

Bayesian nonparametric models have become popular recently due to its flexibility in identifying the unknown number of clusters. However, the flexibility comes at a cost for learning. Thus, Small Variance Asymptotic (SVA) is one of the promising approach for scalability in Bayesian nonparametric models. SVA approach for count data is also developed in which the likelihood function is replaced by the Kullback–Leibler divergence. In this paper, we present the Large Sample Asymptotic for count data when the number of sample in Multinomial distribution goes to infinity, we derive the similar result to SVA for scalable clustering.
Optimised Performance of a Plug-in Electric Vehicle Aggregator in 2 Energy and Reserve Markets 3 4

Abstract 14 15 In this paper, a new model is developed to optimize the performance of a plug-in Electric Vehicle (EV) aggregator in electricity markets, 16 considering both shortand long-term horizons. EV aggregator as a new player of the power market can aggregate the EVs and manage the 17 charge/discharge of their batteries. The aggregator maximizes the profit and optimizes EV owners’ revenue by applying changes in tariffs to 18 compete with other market players for retaining current customers and acquiring new owners. On this basis, a new approach to calculate the 19 satisfaction/motivation of EV owners and their market participation is proposed in this paper. Moreover, the behaviour of owners to select 20 their supplying company is considered. The aggregator optimizes the self-scheduling program and submits the best bidding/offering strategies 21 to the day-ahead and real-time markets. To achieve this purpose, the day-ahead and real-time energy and reserve markets are modelled as 22 oligopoly markets, in contrast with previous works that utilized perfectly competitive ones. Furthermore, several uncertainties and constraints 23 are taken into account using a two-stage stochastic programing approach, which have not been addressed in previous works. The numerical 24 studies show the effectiveness of the proposed model. 25 © 2015 Elsevier Ltd. All rights reserved. 26 27
Stable high-resolution three-term AVO inversion

Three-term AVO inversion can be used to estimate subsurface information about P-wave and Swave velocities and, in addition, density. The density term, however, exhibits little sensitivity to amplitude variations and therefore, its inversion is unstable. One way to stabilize the density term is by including a scale matrix that provides correlation information between the 3 unknown AVO parameters. In this article, we investigate a Bayesian procedure to promote sparsity in the estimation of highly correlated AVO model parameters. To this end, we model the prior distribution of the AVO parameters via a Trivariate Cauchy distribution. We present an iterative algorithm to solve the Bayesian inversion and, in addition, we provide comparisons with the classical inversion approach that uses a Multivariate Gaussian prior distribution.
Factors that affect the use of Malaysian e-learning websites by visually impaired users in the transfer of Islamic knowledge

One of the difficulties that the Visually Impaired Users (VIUs) experience in using e-Learning websites is the lack of effective Knowledge Transfer (KT) due to limitations in these websites such as usability and accessibility problems among others. Due to this problem, there is needed to identify the factors that affect the use of e-Learning websites for VIUs in the transfer of knowledge. However, this paper focuses on the transfer of Islamic knowledge for VIUs through e-Learning websites in Malaysia. Qualitative method through the use of interviews was used for this study. Respondents consist of three groups which consist of 14 VIUs, 14 Knowledge Providers (KPs) and 13 Service Providers (SPs) in 15 Malaysian institutions and organizations. Thematic analysis following inductive approach was used to analyze the data obtained from the respondents. Eight factors were identified which affect the use of e-Learning websites by VIUs. The findings from this paper can be considered in the development of e-Learning websites in Malaysia that can be used by VIUs to learn Islamic knowledge effectively.
Design and Implementation of GIS Virtual Learning Environments for Interactive Visualization Using Desktop Virtual Reality (VR) & iSpace

Magesh Chandramouli is an Asst. Professor in Computer Graphics Techology at Purdue University, Calumet. Earlier, he was a Frederick Andrews Fellow at Purdue University, West Lafayette, where he completed his doctoral studies. He received Master of Science degree from the University of Calgary, MEng from the National University of Singapore, and BE degree from the College of Engineering, Guindy, India.
THEORETICAL AND EXPERIMENTAL INVESTIGATIONS OF AERODYNAMICS AND FLIGHT DYNAMICS FOR MICRO-UAVS

Some special features are discussed for aerodynamics and flight dynamics of very small unmanned aerial vehicles (micro-UAV) as well as evaluation problems for aerodynamic and dynamic characteristics associated with these features. Some experimental results are presented for micro-UAV obtained by using wind tunnel experiments and flight tests as well as mathematical modeling results to estimate micro-UAV transient processes caused with some disturbances.
Advances in spectral inversion of time-domain induced polarization

Recently, the interpretation and inversion of TDIP data has changed from only inverting for the integral changeability to consider also the spectral information contained in the IP response curves (Fiandaca et al., 2012, 2013). Several examples of spectral TDIP applications have been presented, for landfill delineation (Gazoty et al., 2012b, 2013; Wemegah et al., 2016), lithotype characterization (Chongo et al., 2015; Gazoty et al., 2012a; Johansson et al., 2015, 2016; Maurya et al., 2016), time-lapse monitoring of CO2 injection (Doetsch et al., 2015a) and freezing of active layer in permafrost (Doetsch et al., 2015b). Furthermore, efforts have been made to achieve a wider time-range in TDIP acquisition, up to four decades in time (Olsson et al., 2016), for enhanced spectral content. In this work a review of the recent advances in spectral inversion of TDIP data is presented, in terms of: supported IP parameterizations; modelling of transmitter waveform; support for buried electrodes; model regularization; computation of the depth of investigation.
An Analysis of Locally Defined Principal Curves and Surfaces

Principal curves are generally defined as smooth curves passing through the middle of the data and have wide applications in machine learning for example in dimensionality reduction and feature extraction. Recently Umut Ozertem and Deniz Erdogmus (O&E) provide us with a novel approach for defining principal curves and surfaces in their paper Locally Defined Principal Curves and Surfaces (2011). This report aims to reproduce the results of their paper and provide critical assessment of its performance, flaws, and merits.
SIX-MONTH EXCLUSIVE BREASTFEEDING AMONG MYANMAR MIGRANTS IN SAMUT SAKHON PROVINCE , THAILAND

In order to achieve optimal growth, development and health, WHO recommends that infants should be exclusively breast fed for the first 6 months of life. The purpose of this study was to determine the prevalence and factors related to 6-month exclusive breastfeeding (EBF) among Myanmar migrant mothers having a child aged up to one year living in Samut Sakhon Province, Thailand. This cross sectional study was conducted by simple random sampling. A total of 222 lactating mothers were interviewed by structured questionnaire, and odds ratio (OR) and multiple logistic regression testing were used to analyze the data. The study population comprised lactating mothers 19-37 years of age, with a prevalence of 6-month EBF of 37%. Multiple logistic regression analysis showed three variables associated with 6-month EBF, namely, attitude (OR = 5.8; 95% CI: 1.8-18.3), husband’s occupation (OR = 5.4; 95% CI: 1.8-15.7) and respondent’s previous working status (OR = 5.2; 95% CI: 1.3-21.8). The study suggests that health care providers should promote EBF and develop positive attitudes towards EBF. Working mothers should receive support to continue breastfeeding when they return to work.
Ethnicity Classification Through Analysis of Facial Features in SAS Student Investigator :

One of the most basic ways to classify a human being is by their ethnicity. However, defining and classifying ethnicities themselves is an extremely difficult thing to do. The present experiment sought to find how well machines could determine an individual’s ethnicity based on their facial features. Facial images collected from 540 subjects of 5 different ethnicities were analyzed using a variety of statistical techniques, including Linear Discriminant Analysis (LDA), K-Nearest Neighbor (KNN) and K-means Clustering. The results were cross-validated using the Leave-one-person-out (LOPO) and K-fold method. These analyses were also run on the dataset containing only black and white faces. All analyses were preformed using SAS 9.2.
Think Globally , Act Locally : a Local Strategy for Bayesian Optimization

Bayesian optimization (BO) is a sample-efficient method for improving the performance of machine learning algorithms and laboratory experiments. We exploit the local property in BO to develop a new acquisition function, the expected local improvement (ELI) as an alternative to Expected Improvement (EI), aiming to address two underlying issues. First, we reduce the flatland issue in high dimension and second we allow greater explorative choices for batch BO unlike the existing strategies. We derive the convergence analysis using simple regret bound. We further demonstrate that the proposed strategy gains substantial performance improvement over the state-of-the-art baselines using the benchmark functions and real experiments on sequential and batch BO.
Virtual Clock Algorithm as a Tool to Control MPEG-2 Video Traffic Transport over ATM Networks

The scope of this work is to investigate two important aspects of video transmission over ATM: the impact of network congestion on transmitted video signals over asynchronous transfer mode network (ATM) and the ability of the virtual clock algorithm to alleviate or eliminate the effect of the congestion on the quality of picture in such a way that a smooth transition of video streams over ATM network is achieved without being impeded by any traffic co existing with the video on the same network and competing for the same resources. Congestion normally results in cell loss, which is an intolerable phenomenon in real time traffic (video, voice). It is, therefore, imperative to look into ways and means through which cell loss can be treated. The research focused on implementing virtual clock queuing algorithm (VirtClock) [1], [2] on a simulated network including encoding an MPEG-2 formatted picture [8] and mapping it on an ATM cell, then passed this picture over ATM network and reconverted it back again at the egress of the network and displayed it on a video displayer, which was achieved successfully using Mission Level Design (MLDESIGNER) simulation software for the design and simulation of missions, systems, products, and chips. The multidomain simulator nature permits the seamless integration of the design flow from mission/operational level to implementation handoff and test of complex designs, conclusions were reached and recommendations made.
Lambda optimization of constraint violating units in short-term thermal unit commitment using modified dynamic programming

This paper presents a new approach with a three-stage optimization algorithm for the least-cost optimal solution of the unit commitment problem. In the proposed work, the optimal schedule is obtained by optimizing the lambda operator for the states that violate the inequality constraints. The objective of the work is to minimize the fuel cost when subjected to various constraints such as load balance, minimum up/down time, ramp limit, and spinning reserve. This method of committing the units yields the least-cost solution when applied to the IEEE 10-unit systems and 7-unit Indian utility practical systems scheduled for 24 h and the results obtained are compared with the existing methods.