Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic categorization of bioscience literature containing QTL information

In this paper we introduce text categorization methods to address the classification problem of literature containing Quantitative Trait Locus, QTL information. Our work focused on building an automatic categorization system targeting the QTL information of various species based on Support Vector Machines, SVM. A text representation strategy is proposed combining words and phrases that effectively improve the classification accuracy. Through studying literature containing QTL information and other species-related publications, we determined representative phrases and detected abbreviations in order to form another set of features. Together with the words selected by Chi value, the two sets of features were both used to represent text samples. We employed a portion of particular species’ QTL-related literature data to conduct an experiment regarding the system’s construction, and then tested our system using the data of multiple plants and species. The experiment results indicate that our work may help further research on constructing QTL information databases. KeywordsAutomatic categorization; bioscience literature; QTL information.
LOGICAL PROPERTIES ANALYSIS AND STOCHASTIC PERFORMANCES ESTIMATED OF PETRI NETS UNDER RESTRICTIVE CONCURRENT MACHINE

In this paper, the firing rule of restrictive concurrence is presented. The analysis tool of behavior and the estimation method of performance are established for Petri nets. The results of the paper can be used as theoetical basis for analysis and estimation of systems under restrictive concurrent machine. The results also provide scientific basis for concurrent schedule optimization of systems.
Reanalysis of Classification Algorithms on Different Datasets

In this paper, we use four classification algorithms like C4.5, naive bayes, logistic regression and K nearest neighbor. It outlines basic principles of classification algorithms and we analysis and summary each algorithm has its advantages, disadvantages through performance comparison on different datasets. Introduction Classification is a classical problem in data mining such as retail, insurance[1]. C4.5 decision tree has been widely used and also has many improved algorithms. Juan[3] use post-pruning C4.5 algorithm, it can solve geographical constraints and improve enrollment rate. Naive bayes is derived from classical mathematical theory. Sudhakar[4] propose a polynomial naive bayes algorithm for extract semantic relations of biomedical science, it can provide a understanding for patient's condition. Logistic regression model is easy to understand, especially in large scale linear classification. Ganser[5] use L2 regularized logistic regression algorithm, it reduces cost of medical care and improve health care situation. K nearest neighbor is an inert machine learning algorithm. For example, Pu[6] propose a parallel pipeline structure and bubble sort using FPGA method to optimize KNN algorithm, it is higher energy consumption than traditional KNN. In this paper, we will make a general description of the four classification algorithms, and then compare performance on different datasets, such as accuracy, recall, precision. Finally, we give advantages, disadvantages. Classification Algorithms C4.5 Algorithm C4.5 algorithm uses information gain rate to split dataset. It can not only deal with discrete attributes but also process continuous attributes. By pruning, it can avoid over-fitting phenomenon in some extent [2]. 2 1 ( ) log m i i i Ent D p p    . (1) 1 | | ( , ) ( ) ( ) | | V v v v D Gain D A Ent D Ent D D    . (2) ( , ) _ ( , ) ( ) Gain D A Gain ratio D A Ent D  . (3) International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017) Copyright © 2017, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Engineering, volume 100
A high productivity framework for parallel data intensive computing in matlab

Programmer's productivity is recognized as one of the most significant challenges in the effective use of high-performance computing. Higher level languages like Matlab are being increasingly adopted. However, it has significant shortcomings when used for large-scale computationally intensive applications that require very high performance and/or significant amounts of memory. Developing efficient runtime frameworks to aid the high-level languages to make them scalable to larger problem sizes is an effective solution to this problem. Our solutions, mexMPI, GAMMA and LA enable parallel computing directly in Matlab for high-performance while retaining its productivity aspects. mexMPI provides message passing semantics to enable parallel computing within Matlab environment using high-performance networks. GAMMA presents a distributed shared memory programming model wherein the programmer developes his/her parallel algorithms using a ‘Get-Compute-Put model’ and ‘LA’ is a runtime framework that enable users to develop large scale applications directly in Matlab. We demonstrate the effectiveness of our frameworks using NAS benchmarks. The experimental evaluation of these frameworks indicate effectiveness of our approach.
An Efficient Secure Message Transmission in Mobile Ad Hoc Networks using Enhanced Homomorphic Encryption Scheme

In MANETs the nodes are capable of roaming independently. The node with inadequate physical protection can be easily captured, compromised and hijacked. Due to this huge dependency's on the nodes, there are more security problems. Therefore the nodes in the network must be prepared to work in a mode that trusts no peer. In this paper we look at the current scheme to transmit the data in MANETs. We then propose a new scheme for secure transmission of message in MANETs as Alternative scheme for DF’s new Ph and DF’s additive and multiplicative PH. Here we also provide the computational cost of the homomorphic encryption schemes. We also provide the implementation issues of our new scheme in MANETs. For the entire message to be recoverd by the attacker, the attacker needs to compromise atleast g nodes, one node from each group g and know the encryption keys to decrypt the message. The success rate of our proposed new scheme is 100% if there are more number of active paths in each group of the network.
ENHANCING STUDENTS’ CONFIDENCE AND MOTIVATION IN LEARNING ENGLISH WITH THE USE OF ONLINE GAME TRAINING SESSIONS

Effective ESL teaching/learning has always been one of the most important interest areas for researchers and educators-practitioners. Over the past twenty years, teaching methods have been developed to enhance the students’ motivation and self-confidence with the purpose of improving their language skills. Learners with higher motivation do better in English, and learners with self-confidence tend to be more successful in learning. The contemporary society is constantly changing and developing new technologies. Using online games in ESL classroom is one of such methods supplementing the teaching-learning process. Learners are often motivated by hands-on and active learning opportunities. The students are able to work on accomplishing a goal by choosing specific actions. They experience the consequences of the actions, which is one of the ways that a game-based learning experience is similar to real life. In this article, we examined how the Kahoot game-based method of teaching ESL may affect the attitude of university students towards the language and their level of motivation and confidence. The obtained data revealed that using Kahoot training sessions was mostly successful in enhancing students’ confidence and motivation in learning English and the majority of students revealed positive attitudes to using Kahoot in language learning. However, 11% of students considered using online games to be a waste of time and 22% of students thought that learning English should not have fun as a necessary requirement. The author suggests that game-based method of teaching could be of use when utilized systematically over the academic year. However, university teachers should try various approaches and strategies to create a supportive learning environment in the classroom where learners feel interested, safe and secure to set and pursue their learning goals.
On adaptive friction compensation

A method of compensating for friction in control systems is presented. The method entails the use of an observer to estimate the friction which is modeled as a constant times the sign of velocity. The purpose of the observer is to estimate this constant. The observer model is selected to ensure that the error in estimation of the friction constant converges asymptotically to zero. Simulation results verify the theory and show that the method can significantly improve the performance of a control system in which it is used. Although based on the assumption of a constant friction magnitude, the observer displays the ability to track friction whose magnitude depends on velocity. <<ETX>>
Feasibility of Using Calcined Water Treatment Sludge in Rendering Mortars: A Technical and Sustainable Approach

Many current industrial processes, such as water treatment, produce large amounts of waste. The water treatment sludge (WTS) must be properly disposed of and/or used as raw material for application in other sectors, such as the construction industry. The rendering mortar production can be an environmentally friendly alternative to recycle the WTS, this being the object of this research. In this way, mortars were produced with 2.5%, 5%, 7.5%, and 10% calcined WTS to replace natural sand. The water absorption, compressive strength, bond strength, and flexural strength properties were evaluated. A natural carbonation was carried out for the determination of CO2 uptake due to carbonation. The results showed that the incorporation of calcined WTS has an influence on all the properties evaluated. Considering 50 years of service life, the CO2 uptake potential for mortar with 10% calcined sludge WTP is 111 kg CO2/t. In the sustainability approach, it was observed that CO2 uptake due to carbonation is higher in mortars with the addition of WTS, and could be an environmentally friendly alternative that compensates emissions from the cementitious materials production.
Systematic Approach for Design of Broadband, High Efficiency, High Power RF Amplifiers

This paper demonstrates a systematic approach for the design of broadband, high efficiency, high power, Class‐AB RF amplifiers with high gain flatness. It is usually difficult to simultaneously achieve a high gain flatness and high efficiency in a broadband RF power amplifier, especially in a high power design. As a result, the use of a computer‐aided simulation is most often the best way to achieve these goals; however, an appropriate initial value and a systematic approach are necessary for the simulation results to rapidly converge. These objectives can be accomplished with a minimum of trial and error through the following techniques. First, signal gain variations are reduced over a wide bandwidth using a proper pre‐matching network. Then, the source and load impedances are satisfactorily obtained from small‐signal and load‐pull simulations, respectively. Finally, two high‐order Chebyshev low‐pass filters are employed to provide optimum input and output impedance matching networks over a bandwidth of 100 MHz–500 MHz. By using an EM simulation for the substrate, the simulation results were observed to be in close agreement with the measured results.
Self-Service Business Intelligence: Towards a CSF Model for SSBI Success

Utilizing Business Intelligence (BI) technologies is becoming increasingly important in order to make data-driven decisions enabling organizations to stay competitive. However, with long lead times, organizations are not able to take those time-critical data-driven decisions in order to stay ahead. With the introduction of Self-Service Business Intelligence (SSBI) systems, more and more organizations are considering deploying SSBI. Those organizations who have adopted SSBI reports low success rates, however. There is an increasing need for guiding organizations towards succeeding with their SSBI initiatives. In order to guide organizations towards SSBI success, this study has conducted seven interviews with BI experts regarding those critical success factors (CSFs) contributing to SSBI success. The result is a conceptual model displaying two contexts – the organizational context and the technological context – containing CSFs that plays a critical role in achieving SSBI success. Those CSFs are user management, collaboration between business and IT, data quality, data governance in relation to maturity and semantic layer strategy.
Better practice: health promotion in the music conservatoire

This thesis addresses two main questions: 1) What can be learned from existing approaches to promoting musicians' health? 2) How can such approaches be adapted, applied and evaluated across educational and professional contexts in the UK and internationally? To answer the first question, literature reviews were conducted of interventions aimed at improving health education; preventing music performance anxiety (MPA) and performance-related musculoskeletal disorders (PRMDs); and conserving musicians’ hearing. A survey of European conservatoires was conducted to explore their provision of health education. A range of programmes was reported; they vary widely in focus, quality, and outcomes. Only 21 responses were received, so firm conclusions cannot be drawn, but guidelines on health education are clearly worth developing. A study of trends in students’ use of counselling at a UK music conservatoire showed year-on-year increases in sessions attended, primarily for issues related to self-esteem, relationships, academic concerns, loss, abuse and anxiety. To answer the second question, a compulsory health and wellbeing course for 103 first year students at the same conservatoire was designed on the basis of findings described above and in collaboration with members of Healthy Conservatoires. Pre-post testing showed improvements in the students’ perceived knowledge of health topics, awareness of risks to health, and self-efficacy; the students enjoyed the course and reported changes in both attitudes and behaviours. Finally, 111 music students at several UK conservatoires took part in a cross-sectional survey designed to investigate a range of potential risk factors for PRMDs. The results showed poor knowledge of official guidelines for physical activity (PA) despite high levels of self-reported PA; relatively high levels of anxiety; and reliance on teachers and lectures for health-related information. The thesis concludes with a discussion of its implications and suggestions for further research, including an example of relevant ongoing research on musicians’ health literacy.
Pengaruh Penggunaan Media Fotografi dan Media Konvensional terhadap Hasil Belajar Geografi Siswa

The aims of study were to find out (1) the difference of students' achievement in learning geography using photography media in and conventional media in teaching learning process in the at SMAN 1 Tumijajar, (2) Whether photography media could improve students' achievement student learning geography at SMAN 1 Tumijajar. Quasi-experimental method which compare the students' achievement given a treatment and the students which not given treatment. The population were X IPS of SMAN 1 Tumijajar. The sample of this research were X IPS 1 and X IPS 2 students. The researcher used Test in collecting the data analyzed using t-test and One-Way ANOVA. The result showed (1) There a difference of students' achievement photography media X IPS 1 and conventional media X IPS 2 at SMAN 1 Tumijajar, (2) Photography media could improve students' achievement of tenth IPS student in learning geography.Penelitian bertujuan mengkaji (1) Perbedaan hasil belajar siswa menggunakan media fotografi dengan siswa menggunakan media konvensional pada pelajaran geografi di SMAN 1 Tumijajar, (2) Pengaruh penggunaan media fotografi terhadap rata-rata hasil belajar siswa mata pelajaran geografi. Metode penelitian eksperimen semu. Populasi seluruh kelas X IPS di SMAN 1 Tumijajar, samplenya siswa kelas X IPS 1 dan X IPS 2. Pengumpulan data menggunakan tes, analisis data menggunakan uji t dan One-Way ANOVA. Hasil penelitian menunjukkan (1) Ada perbedaan hasil belajar siswa X IPS 1 media fotografi dengan siswa X IPS 2 media konvensional pada mata pelajaran geografi, (2) Ada pengaruh penggunaan media fotografi terhadap rata-rata hasil belajar siswa kelas X IPS pada pelajaran geografi.
Australian Echinoderms: Biology, Ecology and Evolution

Echinoderms, including feather stars, seastars, brittle stars, sea urchins and sea cucumbers, are some of the most beautiful and interesting animals in the sea. They play an important ecological role and several species of sea urchins and sea cucumbers form the basis of important fisheries. Over 1000 species live in Australian waters, from the shoreline to the depths of the abyssal plain and the tropics to Antarctic waters. Australian Echinoderms is an authoritative account of Australia’s 110 families of echinoderms. It brings together in a single volume comprehensive information on the identification, biology, evolution, ecology and management of these animals for the first time. Richly illustrated with beautiful photographs and written in an accessible style, Australian Echinoderms suits the needs of marine enthusiasts, academics and fisheries managers both in Australia and other geographical areas where echinoderms are studied.
4.2 Evolutionary Theories in Psychology

Evolution or change over time occurs through the processes of natural and sexual selection. In response to problems in our environment, we adapt both physically and psychologically to ensure our survival and reproduction. Sexual selection theory describes how evolution has shaped us to provide a mating advantage rather than just a survival advantage and occurs through two distinct pathways: intrasexual competition and intersexual selection. Gene selection theory, the modern explanation behind evolutionary biology, occurs through the desire for gene replication. Evolutionary psychology connects evolutionary principles with modern psychology and focuses primarily on psychological adaptations: changes in the way we think in order to improve our survival. Two major evolutionary psychological theories are described: Sexual strategies theory describes the psychology of human mating strategies and the ways in which women and men differ in those strategies. Error management theory describes the evolution of biases in the way we think about everything.
Étude d'une architecture MapReduce tolérant les fautes byzantines.

Les pannes arbitraires sont inherentes aux calculs massivement paralleles tels que ceux vises par le modele MapReduce ; or les implementations courantes du MapReduce ne fournissent pas les outils pour tolerer les fautes byzantines. Il est donc impossible de certifier l’exactitude de resultats obtenus au terme de traitements longs et couteux sur ces implementations. Nous presentons une architecture permettant de repliquer les tâches afin de garantir l’integrite des traitements et d’isoler les processus defaillants. Notre travail permet ainsi non seulement de tolerer un large spectre de fautes lors de l’execution de calculs sur le modele MapReduce, mais aussi d’envisager le deploiement des implementations sur des architectures materielles ouvertes telles que les "Clouds".
Modeling Networks of Evolving Populations

The goal of this research is to devise a method of differential equation based modeling of evolution that can scale up to capture complex dynamics by enabling the inclusion of many—potentially thousands—of biological characteristics. Towards that goal, a mathematical model for evolution based on the well-established Fisher-Eigen process is built with a unique and efficient structure. The Fisher-Eigen partial differential equation (PDE) describes the evolution of a probability density function representing the distribution of a population over a phenotype space. This equation depends on the choice of a fitness function representing the likelihood of reproductive success at each point in the phenotype space. The Fisher-Eigen model has been studied analytically for simple fitness functions, but in general no analytic solution is known. Furthermore, with traditional numerical methods, the equation becomes exponentially complex to simulate as the dimensionality of the problem expands to include more phenotypes. For this research, a network model is synthesized and a set of ordinary differential equations (ODEs) is extracted based on the Fisher-Eigen PDE to describe the dynamic behavior of the system. It is demonstrated that, when juxtaposed with full numerical PDE simulations, this ODE model finds well-matched transient and precise equilibrium solutions. This prototype method makes modeling of high-dimensional data possible, allowing researchers to examine and even predict complex dynamic behavior based on a snapshot of a population. KEYWORDS: Evolutionary Modeling; Mathematical Biology; Network Dynamics; Ordinary Differential Equations; Partial Differential Equations; Fisher-Eigen model; Phenotype; Fitness Function
Black Teachers Matter: Examining the Depths of Seven HBCU Teacher Preparation Programs

There is an immediate need for Black teachers who have been properly trained to meet the diverse needs of students in urban schools. However, the lack of appropriate representation of Black teachers has caused issues among Black students that include lowered academic performance and missing cultural experiences (Egalite, Kisida, & Winters, 2015; Ladson-Billings, 2000; Madkins, 2011). Thus, this study examines the teacher preparation programs of seven historically Black colleges and universities (HBCUs) using Ladson-Billingsâ€™ (2000) conceptual framework for effective programs. The results reveal that, though each of the programs vary in their program components, the majority of the HBCUs intentionally incorporated situated pedagogy, academic achievement, and cultural competence within their teacher preparation programs. The components that were not underscored in most of the HBCUs were autobiography and sociopolitical critiques. Therefore, since the HBCUs studied in this paper contribute significantly to the number of Black teachers in America, it is recommended that they and other schools preparing Black teachers consider incorporating these components into their programs, while also intentionality ensuring the cultural competence of future Black educators being prepared to serve in diverse urban schools.
Recommendation Method to Make Combined Video from Video Segments

—In this paper, we propose a recommendation scheme for media framework, which enables users to make their own videos by writing a story and reusing parts of accumulated videos. To reuse part of videos, we split a video into semantic segments based on an analysis of relations among objects in a video and store the segments with semantics in repository. To create a new video, the user sends queries based on his/her own story, then the framework recommends appropriate video segments for each query. To determine the rank of searched segments, the recommendation engine uses the degree of coincidence between the segment and the query. Also, it uses the degree of similarity between the searched segment and previously selected segment. By doing this, we can recommend a segment, which is consistent with user’s intent and harmonized with the other parts of the new video.