Miracle-dz/UniFAR-FTUs huggingface dataset:
Bayesian Inference on Allele Group Structure for High Order Interactions in Genome-Wide Association Studies

Sophisticated Bayesian methods are often used to identify a collection of allelesthat are jointly associated with a particular disease. A disease might not beexpressed when only one of these alleles is present, but each associated allelemight interact with each other in a rather complicated way, causing a disease tobe expressed. In investigating a patient's susceptibility to a disease, it is oftenuseful to group the collection of associated alleles according to their risk factors.Our goal is to find the most likely grouping structure of alleles associated with Rheumatoid Arthritis given a case-control data. The numberof ways to group these m alleles is given by the mth Bell number Bm. For 10 alleles, thistranslates to 115,975 groupings. For m = 15, we have over a billion ways to groupthe alleles. Clearly computing the probability for each grouping soon becomeintractable. A combination of Metropolis-Hastings and local search algorithm isproposed to accomplish this task. This strategy is first implemented on simulateddata, with a sufficiently large sample size and a known grouping structure, andthe correct grouping is obtained. Stable results are obtained as the algorithm isrun multiple times on Rheumatoid Arthritis data.
Buddhist pilgrimage in Bihar India: a tourism policy perspective.

Authors Tourism policies formulated and implemented by the union and state governments of India and Bihar respectively, over the past five decades, have played a significant role in attracting religious tourists to the Buddhist sites in Bihar from all across the world. This exploratory research is a historiographical narrative of Buddhist tourism in view of tourism development policies and plans. The study finds that favourable and effective policies have increased domestic and foreign tourism in India, especially international Buddhist pilgrimage to Bihar. However, the state of Bihar still needs better policies and marketing to promote Buddhist tourism. The paper explores the overlooked role of government tourism development policies in promoting spiritual and religious tourism in India, in addition to chronicling the development of tourism in Bihar. The study paves the path for further research into a potential tourism resource that the state of Bihar possesses but has not been able to fully realise. This case study is one of very few attempts to relate the role of policies in the development of tourism in South Asia.
New physics searches using top quarks

This review summarizes recent searches for new physics at the Fermilab Tevatron Collider using final states involving top quarks and their analogues. The DO and CDF Collaborations have used samples as large as 5 fb−1 to search for charged Higgs bosons, massive resonances decaying to t ¯t pairs, massive vector bosons decaying to t¯b final states, fourth-generation t' quarks and supersymmetric stop (˜t) quarks. These analyses have resulted in some of the most sensitive searches for new phenomena in the 1.96TeV ¯pp collisions.
Effectiveness of Internal Control, Good Governance, and Ethics on Budgetary Discipline

This study aims to determine the effect of the effectiveness of internal control, good governance and ethics on budgetary discipline. The object of this study is the Supervisor, Corporate Governance Manager, Budget Manager, Internal Auditor, Head of Internal Auditors in companies in the automotive category and automotive spare parts located in the KIIC Industrial Zone, Karawang, West Java. This research was conducted by sending questionnaires to 89 respondents. Therefore, the data analysis used is PLS SEM. The results showed that the effectiveness of internal control variables had a negative but significant effect on budgetary discipline, good governance and ethics had a positive and significant effect on budgetary discipline.
Candidates Personality and Voting Preferences in Khyber Pakhtunkhwa

This study tries to find out whether personality of a candidate affects the voters preferences in elections in Khyber Pakhtunkhwa or not? It is believed that like other socio-political and economic preferences, candidates personality is also an important determinant of voting behaviour in Khyber Pakhtunkhwa. This paper is an attempt to identify different indicators (Personal Influence, Socio-economic and Political Status in society) of personality vote in Khyber Pakhtunkhwa. The study is based on empirical data collected from North, Centre and Southern geographical regions of the province through a multi-stage sampling technique. Chi-square test is used for the data analysis.
Towards Control of MapReduce Performance and Availability

MapReduce is a popular programming model for distributed data processing and Big Data applications. Extensive research has been conducted either to improve the dependability or to increase performance of MapReduce, ranging from adaptive and on-demand fault-tolerance solutions, adaptive task scheduling techniques to optimized job execution mechanisms. This paper investigates a novel solution that controls MapReduce systems and provides guarantees in terms of both performance and availability, while reducing utilization costs. We follow a control theoretic approach for MapReduce cluster scaling and admission control. Preliminary results based on a simulation environment, previously validated on a real MapReduce cluster, show the effectiveness of the proposed control solutions for a Hadoop MapReduce cluster.
A Bayesian Approach to Evaluating the Dynamics of Rice Production in Madagascar

In Madagascar, domestic rice production does not meet the local demand. Thus, increasing productivity is crucial for ensuring food security for a booming population. The last two decades have been marked by technological improvements in support of a vision of agricultural development. The main objective of the present study is to evaluate rice productivity in Madagascar based on changes in technology and the planted area during the period from 1961 to 2017. To conduct our analysis, we construct a set of statistical models involving time-varying parameters that capture the changes in productivity and progress in rice production technology. To estimate these time-varying parameters, we apply Bayesian methods based on the smoothness prior approach. The estimates for variances in system noise show that the proposed model is well fitted to the data. In addition, the results provide the interesting finding that technological change is estimated to be elastic, with values increasing from 1 to 8 during the six decades of the study period. However, the planted area estimates are inelastic, despite positive values fluctuating around 0.9–1. Thus, rice productivity in Madagascar is highly dependent on technology, although more time is required before a positive response is seen.
A Hybrid Weighted Probabilistic Based Source Code Graph Clustering Algorithm For Class Diagram And Sequence Diagram Visualization

: The Unified Modeling Language (UML) model is an essential component in the process of software system development and complex compiled class files. Natural language processing and clustering measures are used to find the relational keywords and methods in the large source code documents. Most of the traditional source code visualization tools are based on limited source code files and fixed similarity threshold. Also, these source code visualization models are independent of source code dependency graph and relational methods for class and sequence diagram representation. In order to overcome these issues, a weighted probabilistic contextual source code pattern extraction model is designed and implemented on the large open source software projects. In this work, a complex class diagram is constructed on the large source code documents using the weighted probabilistic graph clustering algorithm. Similarly, a novel sequence diagram is constructed using the compiled class files metrics. Experimental results are performed on the different open source java software systems with the traditional models in terms of runtime and computational similarity.
Service Quality Measurement and Competition Strategy Analysis of Online Shopping Chia-Huei Wu A Markov Model for Production and Maintenance Decision Mohammad Saber Fallahnezhad Alie Ranjbar Faeze Zahmatkesh Sredorahi Determining Benchmarks for Cargo Throughput Performances of Privatized Seaports in 

should also be kept to a maximum of 200 words. Authors should also include 5-8 keywords after the abstract, separated by a semi-colon, avoiding the words already used in the title of the article. Abstract and keywords should be reflected as font size 14.and keywords should be reflected as font size 14.
Ribosomally Synthesized and Post-Translationally Modified Peptides as Potential Scaffolds for Peptide Engineering

Ribosomally Synthesized and Post-Translationally Modified Peptides as Potential Scaffolds for Peptide Engineering Devan Bursey Department of Microbiology and Molecular Biology, BYU Master of Science Peptides are small proteins that are crucial in many biological pathways such as antimicrobial defense, hormone signaling, and virulence. They often exhibit tight specificity for their targets and therefore have great therapeutic potential. Many peptide-based therapeutics are currently available, and the demand for this type of drug is expected to continue to increase. In order to satisfy the growing demand for peptide-based therapeutics, new engineering approaches to generate novel peptides should be developed. Ribosomally synthesized and posttranslationally modified peptides (RiPPs) are a group of peptides that have the potential to be effective scaffolds for in vivo peptide engineering projects. These natural RiPP peptides are enzymatically endowed with post-translational modifications (PTMs) that result in increased stability and greater target specificity. Many RiPPs, such as microcin J25 and micrococcin, can tolerate considerable amino acid sequence randomization while still being capable of receiving unique post-translational modifications. This thesis describes how we successfully engineered E. coli to produce the lasso peptide microcin J25 using a two-plasmid inducible expression system. In addition, we characterized the protein-protein interactions between PTM enzymes in the synthesis of micrococcin. The first step in micrococcin synthesis is the alteration of cysteines to thiazoles on the precursor peptide TclE. This step is accomplished by three proteins: TclI, TclJ, and TclN. We found that a 4-membered protein complex is formed consisting of TclI, TclJ, TclN, and TclE. Furthermore, the TclI protein functions as a central adaptor joining two other enzymes in the Tcl pathway with the substrate peptide.
Multilingual Ontology Alignment Based on Visual Representations of Ontology Concepts

— Image search represents one of the most frequent user actions on the Internet. Existing image search engines do not understand the images they return, nor do they support multilingualism. These issues can be addressed with the introduction of a semantic layer. The semantics is encoded in ontologies, which contain structured information about a domain of application. In order to provide semantic interoperability between (multilingual) ontologies, it is necessary to obtain semantic correspondences – ontology alignments. Various strategies have been proposed for multilingual ontology alignment. In this concept paper, the idea of alignment discovery based on semantic similarity of visual representations of ontology concept is explored.
The role of social influence model in social media marketing / Saiful Bahri Mohd Kamal... [et al.]

Over the past few years, hotel businesses have acknowledged the huge role of social media in facilitating and assisting business growth due to its ease-of-use and speed of reach in nature, which essentially allow businesses to perform a role in social media marketing, where businesses can personally engage in advertising and promotion-related activities towards online customers. Nevertheless, hotel businesses are unable to effectively exploit social media marketing as they have a restricted knowledge on how to get potential customers to actively engage and become proactive as well as influence customers towards booking intention. The purpose of this conceptual paper is to propose a study that brings out an exploratory research which intends to analyze and determine the factors that lead to active participation and engagement among consumers within social media, paying attention towards three different processes of social influence: compliance, identification, and internalization that can foster individuals’ attitude and behavioral changes. The improvement of social media marketing will enhance positive electronic word-of-mouth (eWOM) and consequently lead to intention to purchase, in addition to development of a robust, attractive image and product within online communities. Information within this study is regarded as valuable resource that could be used by online hotel marketers as well as related social media manager, as they can acknowledge and understand the actions and practices needed in social media to direct them towards business growth and positive online marketing practice.
Brightness spatial stabilization in the LIP framework

Introduction The LIP (Logarithmic Image Processing) Model derives from the transmittance law and offers a rigorous mathematical framework for image processing [1]. The ability of its operators to simulate variations of illumination or exposure time, is particularly interesting. We propose here a new method to perform image spatial stabilization in presence of lighting changing. The technique consists of simulating local variations of exposure time and produces realistic results. In a first step, we will apply the method to local lighting corrections, which may be considered as a pre-processing. Then we will adapt it to process High Dynamic images and compare the results to those obtained by the classical Tone Mapping approach.
Haematological Studies of Clarias gariepinus Exposed to Ethanolic Stem Bark Extracts of Ackee, Blighia sapida

The study evaluated effects of sub-lethal concentrations (0.00, 1.6, 3.2, 6.4, 12.8 g/l) of ethanolic stem bark extracts of ackee, Blighia sapida on haematological profile of Clarias gariepinus (mean weight, 6.95± 1.02 g; total length 11.7±1.32 cm). Each concentration was treated in triplicate using a static bioassay system. The exposure period was 21 days. Physico-chemical parameters of water were monitored throughout the study period. Results revealed that haematocrit, red blood cell, haemoglobin and mean corpuscular haemoglobin concentration counts were significantly (p<0.05) depleted with increase in extract concentration while white blood cell counts increased (p<0.05) linearly from 198.2, 198.5, 208.8, 219.4 and 241.53 x 10 cells/μl in 0.00, 1.6, 3.2, 6.4 and 12.8 g/l respectively. The levels of water temperature increased with extract concentrations while dissolved oxygen and pH contents decreased. The implications of these results showed that stem bark extract of ackee had negative effects on the blood of treated fish. This may further explain the decline in wild fishery resources in the locality where the plant parts were collected. In view of this, Original Research Article Effiong et al.; AJFAR, 6(1): 21-27, 2020; Article no.AJFAR. 55968 22 the direct use of this plant in harvesting fish by local fisher folks in Southern Nigeria should be discouraged until information that aid its application in a sustainable manner is made available through further studies.
Effect of olive pulp enrichment on physicochemical and antioxidant properties of wheat bread

Black and green olive pulp was added to wheat bread formulation at different levels (5, 10, 15%) with the aim to improve its nutritional value by enhancing the phenolic content and antioxidant capacity. Additionally, the effects of the fortification with olive pulp on the physical characteristics, staling rate and overall consumer acceptability of the formulated breads were explored. Both olive pulps exhibited significantly higher antioxidant activity than refined wheat flour. Baking imparted an impressive increase in TPC, TFC and antioxidant activity of breads as revealed by comparison of experimental with theoretical values but returned significant differences only in the case of TPC when a two-tailed t-test for paired data was applied. Texture measurements showed a substantial increase in hardness with storage along with decreasing loaf volume and increased density. Hydroxytyrosol was the major phenolic compound of fortified breads followed by tyrosol. Olive pulp could be incorporated in a bread formulation without interfering with the general sensory acceptability.
Minimum Distance Index for BSS, Generalization, Interpretation and Asymptotics

We consider complex valued linear blind source separation, where the signal dimension might be smaller than the dimension of the observable data vector. In order to measure the success of the signal separation, we propose an extension of the minimum distance index and establish its properties. Interpretations for the index are derived through connections to signal-to-noise ratios and correlations. The interpretations are novel also for the real valued original case. In addition, we consider the asymptotic behavior of the extended minimum distance index. This paper is an invited extended version of the paper presented at the CDAM 2019 conference.
Derivation of a Frailty Index from the interRAI-HC to Assess Frailty among Older Adults Receiving Home Care and Assistance (the “fraXity” Study)

Background: Today, the value of screening for frailty among older adults is undisputed; to this endeavor, care at-home professionals are the “frailty whistleblowers” of choice. Yet, they need quick at-hand tools for routine use. To this aim, this study proposes a frailty index (FI) directly derived from the interRAI-HC MDS. The FI is used to assess frailty in a panel of home service recipients to document the rate of frailty among types of users. Methods: “fraXity” relies on a case-control design comparing community dwelling older adults receiving home care or assistance to peers who do not receive formal home services. The participants (N = 231) received the interRAI-HC at home from trained nurses. MDS data were used to derive a FI by following published guidelines. Regression modeling was used to assess group differences in the outcomes of interest. Results: The FI was normally distributed, with a mean of 0.19 (SD 0.10), and a value of 0.46 at the 99th percentile. The effect of age was significant (B = 0.003, 95% CI = (0.001–0.005)). As compared to the control group (FI = 0.14 ± 0.07, m ± SD), the FI was higher among individuals who received assistance (B = 0.04, 95% CI = (0.02–0.07)) and care (B = 0.11, 95% CI = (0.08–0.14)). These differences were adjusted for age. Conclusions: The results replicate demonstrations of MDS-based FI derivations and support the usefulness of a FI to distinguish different types of home service recipients. The study is a proof of concept supporting the need of a comprehensive assessment of health needs for all individuals who apply for homes services, including those admitted only for assistance. Further work is needed to evaluate the cost-benefit ratio of implementing the proposed methodology in homecare practice. Trial Registration: ClinicalTrials.gov, NCT03883425, registered on March 20, 2019.
Factors Affecting Indonesian Pre-Service Teachers' Use of m-LMS: A Mix Method Study

The purpose of this research is to investigate factors affecting Indonesian pre-service teachers’ (PSTs) teachers’ use of m-learning management systems (m-LMS) in higher education. The difference regarding the use of m-LMS based on some demographic information namely gender, university, year in university, and age are also reported as well as gaining an in-depth understanding of the use of m-LMS in Indonesian universities. To achieve this, two approaches, quantitative and qualitative, were applied. First, we developed and distributed a survey instrument to 210 students teachers based on the technology acceptance model (TAM). In addition, we interviewed 7 of the PSTs to obtain an in-depth understanding of the use of m-learning in their learning. Some statistical calculations were presented such as mean, standard deviation, Cronbach’s alpha, t-test, and ANOVA. Findings suggest that PSTs’ use m-LMS are related to their Perceived usefulness and perceived ease of use, Subjective norm and attitudes Self-efficacy and supporting condition. From these results, we recommend that teacher educators should target these factors within teacher development programs to prepare PSTs for successful use of m-LMS.
Novel Coronavirus (COVID-19)-A Critical Review

No one has even imagined that infection in the respiratory system in the form of pneumonia because of novel coronavirus (SARS-CoV2) in small town of China, Wuhan during end of December in the year 2019 will come out as an extremely communicable infection. The World Health Organization (WHO) has acknowledged the current epidemic as a threat to whole population worldwide. At present, still we have not reached the advanced levels of research to treat and control this contagious disease. Due to lack of information about the pathogenesis and proliferation pathways of this novel corona virus, whole world is looking forward for its exact prophylaxis. On the basis of recent proofs provided by review and research articles from various gen-uine sources, we tried thoroughly to summarize the various factors regarding COVID-19 like its epidemiology, clinical characteristics, diagnosis, treatment and prevention. Through this review we have made an effort to present a com-mon conceptual literature on coronavirus to help community to fight against this dangerous virus, and will hope that this review will be a source of refer-ence to young researchers for advanced studies.
An Agent-Based Model of COVID-19

Many simple models of disease spread assume a homogeneous population (or population groups) with a uniform basic reproduction number (R0) The goal here is to develop and analyze an agent-based model of disease that models: (1) variability of interaction rates between agents;and (2) the structure of the in-person contact network © 2020, Complex Systems Publications, Inc All rights reserved
Ku-Band High Performance Monopulse Microstrip Array Antenna Based on Waveguide Coupling Slot Array Feeding Network

A high gain low sidelobe monopulse microstrip array antenna for Ku-band frequency modulated continuous wave (FMCW) radar application is proposed. The design consists of microstrip array radiation front-end and waveguide coupling slot array feeding network back-end. The microstrip array comprises 16×32 series-fed patches etched on the top side and slotted ground on the bottom side. A series of shunt slots in the broad-wall are loaded on a WR51 standard magic Tee waveguide to form a compact low loss monopulse comparator and hybrid feeding network. The radiation front and feeding network is individually fabricated with standard printed circuit board (PCB) and machining process and then can be integrated by advanced assembling process. Precise alignment of waveguide slots and ground slots is obtained during these procedures to achieve accurate excitation. Measured results are in accordance with simulation results and show about 32.5 dBi max gain and –25 dB sidelobe level (SLL) of sum pattern in E plane and –27 dB null-depth of difference pattern at 17 GHz center frequency.