Miracle-dz/UniFAR-FTUs huggingface dataset:
Practical Methods Validation For Variables Selection In The High Dimension Data: Application For Three Metabolomics Datasets

Background: Variable selection on high throughput metabolomics data are becoming inevitable to select relevant information since they often imply a high degree of multicolinearity, and, as a result, lead to severely ill conditioned problems. Both in supervised classification framework and machine learning algorithms, one solution is to reduce their data dimensionality either by performing features selection, or by introducing artificial variables in order to enhance the generalization performance of a given algorithm as well as to gain some insight about the concept to learned. Objective: The main objective of this study is to select a set of features from thousands of variables in dataset. We divide this objective into two sides: (1) To identify small sets of features (fewer than 15 features) that could be used for diagnostic purpose in clinical practice, called low-level analysis and (2) We do the identification to a larger set of features (around 50-100 features), called middle-level analysis; this involves obtaining a set of variables that are related to the outcome of interest. Besides that, we would like to compare the performances of several proposed techniques in feature selection procedure for Metabolomics study. Method: This study is facilitated by four proposed techniques, which are two machine learning techniques (i.e., RSVM and RFFS) and two supervised classification techniques (i.e., PLS-DA VIP and sPLS-DA), to classify our three datasets, i.e., human urines, rat’s urines, and rat’s plasma datasets, which contains two classes sample each dataset. Results: RSVM-LOO always leads the accuracy performance compare to the other two cross-validation methods, i.e., bootstrap and N-fold. However, this RSVM results is not much better since RFFS could achieve the higher accuracy performance. Another side, PLS-DA and sPLS-DA could reach a good performance either for variability explanation or predictive ability. In biological sense, RFFS and PLS-DA VIP show their performance by finding the more common selected features than RSVM and sPLS-DA compare to previous metabolomics study. This is also confirmed in the statistical comparison that RFFS and PLS-DA could lead the similarity percentage of selected features. Furthermore, RFFS and PLS-DA VIP have their better performance since they could select three metabolites of five confirmed metabolites from previous metabolomics study which couldn’t be achieved by RSVM and sPLS-DA. Conclusion: RFFS seems to become the most appropriate techniques in features selection study, particularly in low-level analysis when having small sets features is often desirable. Both PLS-DA VIP and sPLS-DA lead to a good performance either for variability explanation or predictive ability, but PLS-DA VIP is slightly better in term of biological insight. Besides it is only limited for two class problem, RSVM unfortunately couldn’t achieve a quite good performance both in statistical and biological interpretation.
ENERGY EFFICIENT ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORKS: A SURVEY

Wireless Sensor Networks (WSNs) are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communications capabilities. Due to the achievement in low-power digital circuit and wireless communication, many applications of the WSN are developed and already been used in habitat monitoring, military object and object tracking. The energy of nodes is the most important consideration among them because the lifetime of Wireless Sensor Networks is limited by the energy of the nodes. Many energy aware routing protocols have been proposed in the literature. In this paper, we introduce recent work on routing protocols for WSNs and also a comparative analysis of these has been made considering various network parameters.
Modern Ballroom Dancing

This guide traces the history of dancing, showing how modern dances orginated and developed, the influence of jazz and Latin-American music, the supremacy of the "English Style" and trends since the war to the present day. It also provides detailed descriptions of all the most popular ballroom dances: the four classics - waltz, foxtrot, quickstep and tango; the Viennese waltz; the standard Latin-American dances - rumba, samba, cha-cha-cha, paso doble; jive; rock 'n' roll; and disco dancing. Victor Silvester won the World's Professional Dancing Championships in 1922.
Genetic polymorphism in three glutathione s-transferase genes and breast cancer risk

Genetic Polymorphism in Three Glutathione S-transferase Genes and Breast Cancer Risk S. Woldegiorgis, R. C. Ahmed, Y. Zhen, C. A. Erdmann, M. L. Russell, R. Goth- Goldstein Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory April 2002 Correspondence may be addressed to R. Goth-Goldstein, Mailstop 70-108B, Lawrence Berkeley National laboratory, One Cyclotron Road, Berkeley, CA 94720 This research was supported in part by funds from the California Breast Cancer Research Program of the University of California, Grant Number 1RB-0429. S. W. , R.C. A. , and Y. Z. were supported by the Center for Science and Engineering Education, Lawrence Berkeley National Laboratory. The work was performed under U.S. Department of Energy Contract No. DE-AC03-76SF00098.
An Asynchronous Electric Drive with the Indirect Control of the Output Variables

The article gives a mathematical description of an asynchronous motor with a device of indirect control of the electromagnetic torque and the angular velocity of the asynchronous motor in the electric drive that allows to prove on its basis the method of monitoring the output variables of the asynchronous electric motor. The simulation model of an asynchronous motor with a device of indirect control of the output variables of the asynchronous motor and the main results of the study have been given.
Real-time operating system (RTOS) with application to play models

It is very important to improve the design of the real-time operating system (RTOS) especially if we want to use it in some special devices. Numerous researches have accepted conventional RTOS as being the customary approach for designing devices used by children. This is because these are able to facilitate the implementation different criteria such as clustering, stability and alternate programs. In this paper, numerous publications have been analyzed to observe the performance of the RTOS when it is subjected to varied constraints. The study focuses on a review of RTOS in relation to play models to analyze their capabilities on various computing platforms and OSs. The publications which we have collected have been sorted out to comprehensively review thereby leading to the configuration of several factors affecting the features within the system. Likewise, statistics and results have facilitated adoption of a more focused approach towards the development of RTOS. While this program ranks clustering and performance as being the highest RTOS criteria for all applications, alternate programs considered this to be the least important. Thus, criteria choice becomes an important issue to address. Key words: Operating system (OS), play model, real-time, real-time operating system (RTOS) performance, RTOS criteria.
The Dual Positive Actions of Colonic Release of Ibuprofen in TNBS-Induced Colitis Wistar Rats

Ibuprofen is a relatively safe anti inflammatory drug among other NSAIDs. However, frequent and long-term administration of ibuprofen in conventional oral preparation is still considered for ulceration. As previously reported, the daily administration of the ibuprofen orally for 14 days in rats caused the gastroduodenal ulcer. Several mechanisms have been reported: the suppression of the gastric prostaglandin synthesis and the local irritant effect on epithelium due to the direct contact of drug with mucosal wall. In this work, developed ibuprofen pellet with double coatings aimed to release ibuprofen only when reaching colonic compartment. The results of pharmacokinetic study reported previously suggested that this might be a successful target. Present study described the potential benefits of this formula in exhibiting effective local anti inflammatory action in colon. Male Wistar rats were induced for ulcerative colitis with 2,4,6-trinitrobenzene sulfonic acid. Twenty four hours after induction, treatments were given using either ibuprofen suspension or pellet for 14 days. Ulcerations were observed visually, with gross anatomic and microscopic examinations. Group treated with ibuprofen pellet showed best recovery nearly close to healthy group. Moreover, the group did not develop ulceration in upper part of GIT. Colonic targeted ibuprofen pellet showed most effective local antiinflammatory action and at the same time reduced the ulcer formation in the upper part of GIT.
Prognostic value of N-terminal pro-B-type natriuretic peptide in patients with non-ST-segment elevation acute coronary syndromes

1 Institute for Aviation Medicine, Military Medical Academy, Belgrade, Republic of Serbia. 2 Department of Physiology, Faculty of Medicine, University of Kragujevac, Kragujevac, Republic of Serbia. 3 Health Centre, Gornji Milanovac, Republic of Serbia. 4 Institute of Biochemistry, School of Medicine, University of Belgrade, Belgrade, Republic of Serbia. 5 Institute of Cardiovascular Disease Dedinje, School of Medicine, University of Belgrade, Republic of Serbia. 6 Clinic for Cardiology, Military Medical Academy, Belgrade, Republic of Serbia. 7 Institute of Physiology “Richard Burian“, School of Medicine, University of Belgrade, Belgrade, Republic of Serbia.
Social Psychological Perspectives on Trump Supporters

No one factor describes Trump’s supporters. But an array of factors – many of them reflecting five major social psychological phenomena can help to account for this extraordinary political event: authoritarianism, social dominance orientation, prejudice, relative deprivation, and intergroup contact. Research on the topic demonstrates that these theories and concepts of social psychology prove centrally important in helping to understand this unexpected event. This paper describes the supporting data for this statement and demonstrates the close parallels between these American results and those of research on far-right European supporters.
Redox activity of size-segregated PM samples

Redox activity and chemical speciation of size fractioned PM in the communities of the Los Angeles – Long Beach Harbor S. Hu, A. Polidori, M. Arhami, M. M. Shafer, J. J. Schauer, A. Cho, and C. Sioutas University of Southern California, Department of Civil and Environmental Engineering, 3620 South Vermont Avenue, Los Angeles, CA 90089, USA University of Wisconsin-Madison, Environmental Chemistry and Technology Program, 660 North Park Street, Madison, WI 53706, USA University of California, Los Angeles, School of Medicine, Los Angeles, CA 90095, USA Received: 25 April 2008 – Accepted: 15 May 2008 – Published: 12 June 2008 Correspondence to: C. Sioutas (sioutas@usc.edu) Published by Copernicus Publications on behalf of the European Geosciences Union.
Trajectory Clustering for People's Movement Pattern Based on Crowd Souring Data

Abstract. With the increasing availability of GPS-enabled devices, a huge amount of GPS trajectories recording people's location traces have been accumulated and shared freely on the Web. In this area, one of the most important research topics is to exploit trajectory-movement pattern about where and when people clustered based on the raw GPS data. In order to solve this problem, clustering is a good way to perform data mining tasks on trajectory data. This paper provides a clustering algorithm which aims at mining people’s movement pattern about the clustered location and their temporal evolution characteristics. Firstly, the characteristic points of GPS trajectories were chosen. Based on the characteristic points, a trajectory has been partitioned into a group of line segments. These line segments can represent the movement pattern of trajectories much better than that of track points. Secondly, an improved density-based line clustering method was used for the individual partitioned line segments to find out individual clusters with similar track segments. In this step, the absolute time spot of people’s trajectories was taking into account as a characteristic for the temporal evolution of people’s trajectories. Finally, the representative clustered hot spots of multiple users’ line segments achieved by above steps were output. Experiments were conducted with GPS trajectories data downloaded from the web to verify the effectiveness of the algorithm in this paper. According to the results, the spatial distribution and temporal evolution characteristics of people’s stay hot spots were effectively discovered from people’s GPS trajectories data.
A Study on the Usage of Mobile Phones for Cyber Bullying Among Tweens & Teens of Chennai, India

A 2014 survey by Ipsos report that India accounts for the highest among 24 countries, in the number of child cyber bullying cases (32%) compared to the U.S (15%) or Great Britain (11%). About 70 percent of Indian tweens & teens, spend over five hours on the Internet in a normal week, out of which 27% kids use smartphones, says a McAfee Intel survey report. Popular among them are Social Networking Sites such as Facebook, YouTube, WhatsApp, Snapchat, Vine, Pinterest, Tumblr, including Tinder (a dating app meant for adults) Earlier the access to the internet and the social networking sites for these children used to be from home through desktops but with IPad, IPod, Tablets, and mobiles, the whole problem take a deeper significant turn. This paper is based on a study which attempts to check on how much of cyber bullying exists in the Chennai scenario and how much of cyberbullying happen through mobile phones. The study also attempts to find out the most prevalent form of cyberbullying among these children and the reasons why these kids either become a victim or bully in the cyberspace. Key words: Mobile phones, cyber bullying,
AN ADAPTIVE METHOD TO FOCUSING IN AN UNKNOWN SCENARIO

The problem of fleld focusing onto a target location in an unknown scenario is considered. In particular, we devise an adaptive procedure in which flrst an image of the unknown region where the target point is located is formed via the linear sampling method (LSM). Then, the LSM result is used also to deflne the excitations coe-cients for the array elements needed to focus the fleld. This novel approach to focusing is described and tested with numerical examples.
Macroalgal distribution in a Mexican Caribbean Reef

Macroalgae are important components of coral reef and seagrass ecosystems; however, the habitat structure macroalgae provide to the system has been little explored. We use architectural and morphological traits of macroalgae to describe and compare the reef and lagoon habitat complexity at Puerto Morelos reef in the Mexican Caribbean. Using a random-stratified method, macroalgae were sampled, then each organism was identified and morphometric features were recorded. A total of 101 species were found. The ordination analysis showed differences in species composition between the reef and lagoon. Small size, erect highly branched and dense clonal growth were more frequent in the reef compared to the lagoon where larger, erect, less branched and less dense algae with CaCO3 were found. Higher species richness and diversity of forms in the reef suggest a higher habitat complexity provided by macroalgae in the reef compared with the seagrass beds. The increase of fleshy macroalgae has been shown to decrease the habitat complexity provided by coral structure, we highlight that the increase of only some macroalgae species will result in a loss of complexity provided by other macroalgae species.
Assessment of Particulate Matter-Based Air Quality Index in Port Harcourt, Nigeria

Due to the desire of nations to enhance their economic status, industrialization is vigorously pursued. Industrialization is historically associated with environmental degradation. In developing countries, due to lack of environmental awareness, the level of industrialization is not commensurate with environmental studies and monitoring. This study was designed to assess the status of particulate matter at three emerging industrial sites in Port Harcourt. To achieve this, Aerocet 531 monitor was used. To be able to communicate properly with the general public, data obtained were expressed in terms of Air Quality Index (AQI). The results showed that industrial sites had higher concentrations compared to the control for both PM2.5 and PM10. Seasonal variation of PM2.5 and PM10 were observed with the dry season indicating concentrations higher than the local acceptable limits of 150 μg/m3 and 230 μg/m3. The AQI of the three emerging industrial sites indicated a category for ‘good’ to ‘moderate’ for wet season while for dry season, they varied from ‘very unhealthy’ to ‘hazardous’ in all the sampling areas. This poses a great threat to health and environment of the inhabitants.
Comparative analysis of marketing integration strategies in three different marketing environments

The paper presents the results of a study of comparative analysis of marketing integration strategies in three different marketing environments. It is observed that one of the fundamental challenges facing the multinational enterprise in the contemporary world is the decision to standardize marketing programs and practices or to tailor them according to the local conditions of the host country. A vigorous comparative methodology of matched samples at the level of statistical analysis was utilized for the study. Japanese, South Korean and Indian MNEs in Nigeria affiliates were matched on the basis of product mix, industry age, size, market served and other environmental variables to obtain certain conditions. The sample size consisted of 121 firms of Asian MNEs in Nigeria vis-a-vis 41 Japanese, 44 Indian and 36 South Korean affiliates in Nigeria. The sample was selected on the basis of products, market served and other environmental variables. The study therefore examines the marketing integration strategies in low risk environment of western Europe and USA, moderate risk environment such as south Korea, Japan and other emerging industrialized countries in Asia and high risk environment such as Nigeria and other developing countries in Africa and Latin America. The result of the study shows that the integration of product decision is uniform in the three market environments while that of price is less uniform and less high. The communication and distribution strategies vary from high integration USA to average integration (South Korea) and low integration (Nigeria)
EGFR first- and second-generation TKIs—there is still place for them in EGFR -mutant NSCLC patients

Identification of epidermal growth factor receptor (EGFR) as a molecular target has radically changed the treatment of metastatic non-small cell lung cancer (NSCLC) from standard chemotherapy to personalized, targeted therapy. First-, second- and third-generation EGFR tyrosine kinase inhibitors (TKIs) are now available for the treatment of EGFR-mutant NSCLC patients. This review will focus on the clinical development of first- and second-generation EGFR TKIs. We will emphasize on essential points like the head-to-head comparison among EGFR TKIs, their activity on brain metastases, mechanisms of resistance, as well as their combination with anti-angiogenic compounds, other targeted therapies, or immunotherapy. The efficacy of first- and second-generation EGFR TKIs in early-stage EGFR -mutant NSCLC will be also finally reviewed.
A Casimir-Dark Energy Nano Reactor Design—Phase One

A phase one design of a new free energy nano reactor is presented. The design is based on a basically topological interpretation of the Casimir effect as a natural intrinsic property of the geometrical topological structure of the quantum-Cantorian micro spacetime. In particular we view dark energy, Hawking negative energy, Unruh temperature and zero point vacuum energy as being different sides of the same multi-dimensional coin. This new interpretation compliments the earlier conventional interpretation as vacuum fluctuation or as a Schwinger source and links the Casimir energy to the so-called missing dark energy density of the cosmos. We start with a general outline of the theoretical principle and basic design concepts of a proposed Casimir dark energy nano reactor. In a nutshell the theory and consequently the actual design depend crucially upon the equivalence between the dark energy density of the cosmos and the faint local Casimir effect produced by two sides boundary condition quantum waves. This Casimir effect is then colossally amplified as a one internal quantum wave representing a Hartle-Hawking state vector of the universe pushing from the inside against the boundary of the universe with nothing balancing it from the non-existent outside. This strange situation becomes completely natural and logical when we remember that the boundary of the universe is a one sided Möbius like manifold. In view of the present theory, this is essentially what leads to the observed accelerated expansion of the cosmos. As in any reactor, the basic principle in the present design is to produce a gradient so that the excess energy on one side flows to the other side. Thus in principle we will restructure the local topology of space using material nanoscience technology to create an artificial local high dimensionality with a Dvoretzky theorem like 96 percent volume measure concentration. Without going into the intricate nonlinear dynamics and technological detail, it is fair to say that this would lead us to pure, clean, free energy obtained directly from the topology of spacetime via an artificial singularity. Needless to say, the entire design is based completely on the theory of quantum wave dark energy proposed by the present author for the first time in 2011 in a conference held in the Bibliotheca Alexandrina, Egypt and a little later in Shanghai, Republic of China. The quintessence of the present theory is easily explained as the Φ3 intrinsic Casimir topological energy where Φ= (√5-1)/2 is produced from the zero set Φ of the quantum particle when we extract the empty set quantum wave Φ2 from it and find Φ-Φ2=Φ3 by restructuring space via conducting but uncharged plates similar to that of the classical Casimir experiments. Our proposed preliminary design of this Casimir-spacetime artificial singularity reactor follows in a natural way from the above.
Classics of Deep Learning Approach for Human Behaviour Ontology: A Survey

-- As being a human with all technological equipments we cannot predict the different mode of communication, reaction and predicted behaviour for the current situation. So, in case of health centre to represent their current health status using social networks, having different conventional methods, among them we have Ontology is one of the technology derived from WordSet where we can retrieve information form semantic web for the cross reference of the given input regarding health social activity of a person based on the posts in online social networks allowing access between persons and places, for this we have a tool called SMASH ontology which works on the basis of semantic web. Where it access the middle ware for the human personal behaviour factor and social co-relation factor, the best prediction accuracy permit the development of semantic parsers to ontology specific queries for deep learning as ORBM. Now a day’s many online health information sites having human behaviour predictions done with the some of the tools like RBM, CRBM, SRBM, ORBM and follows.