Reviewerly/exHarmony huggingface dataset:
INFLUENCE OF BLOCKCHAIN TECHNOLOGY ON PERFORMANCE OF LOGISTICS FIRMS IN KENYA

The main objective of the study was to establish the influence of blockchain technology on performance of logistics firms in Kenya. The study specifically aimed to determine the influence of Supply chain integration, determine the influence of inventory management systems, establish the influence of information sharing and to identify the influence of transactions security on performance of logistics firms in Kenya. The study was undertaken in 6 logistics firms situated in Nairobi. The study adopted a descriptive research design and the target population was a total of 396 logistics management staff from 6 of the selected logistics firms. The study adopted a stratified sampling technique to select a total of 202 respondents. Questionnaires were used as the main data collection instruments and a pilot study was conducted to pretest questionnaires for reliability. Descriptive statistics and multiple regression analysis were used to analyze the gathered data and the results were presented on tables and charts. Findings from the study showed that Supply chain integration; inventory management costs; information sharing and transaction security influences the performance of logistics firms in Kenya. The study concluded that block chain technology influences the performance of logistics firms through enhancing supply chain integration; reduction of inventory management costs; increased effectiveness in information sharing and improving transaction security across the supply chain players. The study recommended that the management of logistics firm should adopt blockchain technology in the execution of all supply chain integration functions. The study also recommended that management of logistics firms should effectively integrate blockchain technology in all inventory management functions, transaction processes and continuously update effective transaction security systems in order to safeguard confidential transaction information that is processed through the use of block chain technology. Key words: Supply Chain Integration, inventory management systems, Information Sharing, Transactions Security, block chain technology, Logistics Firms in Kenya CITATION: Mung’asio, K. K., &amp; Moronge, M. (2019). Influence of blockchain technology on performance of logistics firms in Kenya. The Strategic Journal of Business &amp; Change Management, 6 (2), 265 – 285.
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models

Is neural IR mostly hype? In a recent SIGIR Forum article, Lin expressed skepticism that neural ranking models were actually improving ad hoc retrieval effectiveness in limited data scenarios. He provided anecdotal evidence that authors of neural IR papers demonstrate wins by comparing against weak baselines. This paper provides a rigorous evaluation of those claims in two ways: First, we conducted a meta-analysis of papers that have reported experimental results on the TREC Robust04 test collection. We do not find evidence of an upward trend in effectiveness over time. In fact, the best reported results are from a decade ago and no recent neural approach comes close. Second, we applied five recent neural models to rerank the strong baselines that Lin used to make his arguments. A significant improvement was observed for one of the models, demonstrating additivity in gains. While there appears to be merit to neural IR approaches, at least some of the gains reported in the literature appear illusory.
Inducing Multi-Convexity in Path Constrained Trajectory Optimization for Mobile Manipulators

In this paper, we propose a novel trajectory optimization algorithm for mobile manipulators under end-effector path, collision avoidance and various kinematic constraints. Our key contribution lies in showing how this highly non-linear and non-convex problem can be solved as a sequence of convex unconstrained quadratic programs (QPs). This is achieved by reformulating the non-linear constraints that arise out of manipulator kinematics and its coupling with the mobile base in a multi-affine form. We then use techniques from Alternating Direction Method of Multipliers (ADMM) to formulate and solve the trajectory optimization problem. The proposed ADMM has two similar non-convex steps. Importantly, a convex surrogate can be derived for each of them. We show how large parts of our optimization can be solved in parallel providing the possibility of exploiting multi-core CPUs/GPUs. We validate our trajectory optimization on different benchmark examples. Specifically, we highlight how it solves the cyclicity bottleneck and provides a holistic approach where diverse set of trajectories can be obtained by trading-off different aspects of manipulator and mobile base motion.
Situationally-Induced Impairments and Disabilities Research

Research has shown that various environmental factors impact smartphone interaction and leadto Situationally-Induced Impairments and Disabilities. In this work we discuss the importance ofthoroughly understanding the effects of these situational impairments on smartphone interaction. Weargue that systematic investigation of the effects of different situational impairments is quintessentialfor conducting successful research in the field of SIIDs that might lead to building appropriate sensing,modelling, and adapting techniques. We also provide insights for future work identifying potentialdirections to conduct research in SIIDs.
History Textbook Authors’ Perceptions and Suggestions on Textbook Narratives of the Koryeo Dynasty

This study aims to examine the way in which textbook writers perceive history textbook narratives, focusing on the Koryeo dynasty. Five historians and five history teachers, as history textbook writers, participated in the survey conducted in 2015, and all data were collected and analyzed in a confidential way. Analysis results have been presented into three themes: the change of political powers, the foreign relations of Koryeo, and the domination of Mongolia and King Kong-min.BR Since the textbook examination has been scrutinized through the lens of the most recent research, the textbook writers criticized factual errors found in textbooks and/or explanatory frameworks. They also argue that heavy reliance on the major political powers and China-centered narratives of foreign relations as well as excessive emphasis on autonomy of King Kongmin policies. While historians and teachers showed some differences in problem recognition and alternative explanation, it seems necessary to try to restructure the learning contents so that students can participate in the learning by doing history with history textbooks.
Secure Gray code-based reversible data hiding scheme in radiographic images

Transmitting medical information through a network for the purpose of tele-diagnosis involves greater risk of losing confidentiality and integrity of the information being transmitted. This paper presents a scheme that ensures reversibility of the cover image and also makes it suitable for the field of telemedicine. The methodology uses cryptographic and the steganographic methods. The proposed work decreases the overhead by reducing the size of the auxiliary data to be embedded which is used to achieve the reversibility of the cover image. The proposed method also improves security of the data and enhances the image quality. The algorithm yields a reversible data hiding (RDH) scheme based on pixel value ordering (PVO). The methodology differs from other basic schemes as it uses Gray code instead of ordinary binary codes. It naturally suits for medical steganography as the carrier image can be reconstructed after extraction of the secret data and also the distortion caused due to embedding is very less. The method is also robust as one time pad cryptographic technique is used to generate the key.
MEASURING THE FEELINGS OF ENGLISH LANGUAGE ANXIETY AMONGST ISLAMIC EDUCATION STUDENT TEACHER AT KOLEJ UNIVERSITI ISLAM ANTARABANGSA SELANGOR

The aim of this study was to investigate whether Islamic Education Student Teachers (IEST) reported feelings of language anxiety and inadequacy in their reading comprehension. Quantitative data were collected through administering a questionnaire to determine the levels of anxiety reported by the student teachers. The findings to be discussed are part of a much larger study. A total of 100 IEST took part in the study. The ELST were enrolled in four-year teacher education programs at Faculty of Education in KUIS. Student teachers participating in the study were given an adopted EFLRAI questionnaire containing of 19 items and a four-point Likert- five-point Likert to be completed. The questionnaire aims to elicit the reading and to determine reading anxiety. Respondents were requested to grade each item on the Likert scale according to their personal opinions. The mean score and standard deviation for the 100 respondents were calculated. The findings of the current study indicated that the participants experienced various anxious level in reading materials written English language.
Like Quantum Computing without Quantum Physics: Is it How the Brain Works?

Quantum computing and the workings of the brain have many aspects in common and have been attracting increasing attention in academia and industry. The computation in both is parallel and non-discrete. Though the underlying physical dynamics (e.g., equation of motion) may be deterministic, the observed or interpreted outcomes are often probabilistic. Consequently, various investigations have been undertaken to understand and reproduce the brain on the basis of quantum physics and computing. However, there have been arguments on whether the brain can and have to take advantage of quantum phenomena that need to survive in the macroscopic space-time region at room temperature. This paper presents a unique microscopic computational model for the brain based on an ansatz that the brain computes in a manner similar to quantum computing, but with classical waves. Log-scale encoding of information in the context of computing with waves is shown to play a critical role in bridging the computing models with classical and quantum waves. Our quantum-inspired computing model opens up a possibility of unifying the computing framework of artificial intelligence and quantum computing beyond quantum machine learning approaches.
Finite sample efficiency of the Gaussian kernel

For the most popular kernels in kernel density estimation and nonparametric regression the asymptotic efficiencies are close to one. In this study we assess the finite sample efficiency of the Gaussian kernel φ in the kernel density estimation context. For a wide range ofsample sizes and variety of the normal mixture densities, the empirical efficiencies of φ are shown to be about as high or even higher than the asymptotic value of 0.9512. Moreover, for each considered density the observed efficiencies tend to be higher for smaller samplesizes. This reassures that using Phi at any sample size guarantees obtaining a highly efficient smooth estimate.
LibGuides: Orientation to Digital Library: Database vs Google

This guide was created to help students learn how to use the digital library without having to dig through the various tabs... Page to demostrate benefits of using Library Database
Extended Techniques for the Saxophone

The extended range of the saxophone above the normal range is called the altissimo range, which means “very high” in Italian. On the soprano saxophone, the altissimo range starts with the note G $$_6$$ , in B $$^\flat $$ saxophone notation, and ends, depending on the player’s skill level, generally up to D $$_7$$ . The notes in this range are called high notes or top notes. It is frequently thought that the notes of the altissimo range can be reached by applying extraordinarily high lip pressure, but the key of playing these notes is really rooted in the correct formation of the vocal tract.
National Volcano Warning System Gains Steam

It took more than a decade, but a bill that funds U.S. volcano monitoring efforts and establishes a single system became law on 12 March.
Pengembangan Metode Role Playing untuk Meningkatkan Minat Belajar Siswa pada Mata Pelajaran Bahasa Arab Kelas X Sma Muhammadiyah 3 Surakarta Tahun Ajaran 2018/2019

The problem of education methods is a problem that really needs to be consideredespecially for educators, because the right selection method will determine thesuccess of a student in achieving mastery learning. If educators choose aninappropriate or ineffective method it will lead to monotonous learning and lesssuccess. To present a pleasant atmosphere for the students, a teacher must knowthe ways or methods that must be applied, so that students have a sense ofhappiness and happiness to take part in learning and of course students will bemotivated by that. Therefore students must have a method game-based teaching or2excitement, in addition to the need for knowledge. One of them is by using theRole Playing method. This study discusses the development of the role playingmethod to increase students' interest in learning in Arabic subjects in class XMuhammadiyah 3 Surakarta Senior High School Academic Year 2018/2019. Thisresearch is a field research (field research), with data collection carried out usingthe method of interviews, observation and documentation that can supportresearch studies. Data analysis is done by deductive method. The subjects in thisstudy were students of class X and the object of this research was the applicationof strategies to develop Role Playing methods to increase interest in Arabicsubjects. The results of the study show that: 1) The application of the RolePlaying method developer strategy is able to increase student interest seen fromthe changing attitudes of students in the learning process the more active, happy,willing to try and they are so enthusiastic. 2) The application of Role Playinglearning strategies in learning Arabic can be successful and seen from thecomparison table of UH 1 with UH 2 learning Arabic in class X ofMuhammadiyah 3 Senior High School in Surakarta.
Predicting Credit Card Fraud on a Imbalanced Data

Credit card fraud is increasing considerably with the development of modern technology and the global superhighways of communication. Credit card fraudsters continuously try to come out with a new tactic challenged the present technology and system. It cost both, providers and consumers a lot of money. Thus, quick and accurate model become essential for companies and credit card providers, to decrease their financial and customer trust losses. However, there is a lack of published literature on credit card fraud detection techniques, due to the unlabeled credit card transactions dataset for researchers. High dimensional data refer to data that have multiple variables. The dataset consist of the credit card details, amount transaction, location, time, and personal details of the cardholders that are anonymized. Thus, in this study, a real-world dataset (European Credit card), with PCA transformation applied is being used. The common problem happened in this kind of research is the data tend to be imbalanced. Imbalanced data will often introduce bias which the accuracy of the prediction is not accurate. In this study, the dataset has been train with an oversampling pre-processing technique called SAS Sample and various data mining technique such as Random Forest, KNN, Decision Tree, and Logistic Regression. After several trials, we found out that the regression technique has the best performance among the others.
Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis problem, which has attracted much attention in recent years. Previous methods mainly devote to employing attention mechanism to model the relationship between aspects and context words. However, these methods tend to ignore the overall semantics of sentence and dependency among the aspect terms. In this paper, we propose a Hierarchical Attention Network (HAN) to solve the aforementioned issues simultaneously. Experimental results on standard SemEval 2014 datasets demonstrate the effectiveness of the proposed model.
Systems Engineering and Industry Standards in the Age of Digital Technology

Results of a pilot project conducted in partnership with the American Petroleum Institute (API) and the International Council on Systems Engineering (INCOSE) are presented. The pilot examines potential business efficiencies and compliance improvements from the implementation of a structured data approach to the management and verification of requirements specified in API standards. It further explores an approach for developing digital requirements from published standards owned and maintained by international Standards Development Organizations (SDOs). SDOs create and maintain their standards based on a process which relies on consensus from technical experts throughout the world. This process encourages wide spread adoption resulting in improvements to both safety and reliability across the applicable industry. The project explored approaches to guide technical consensus committees in the structure and realization of their standards such that they more directly support the digital transformation.
Survey on Identification Of Black/Fake Currency Using NFC & Blockchain

Counterfeit currency is a hindrance to the economy. For the growth of the country’s economy there needs to be some fit approach to eradicate these counterfeits from the system. Iot devices are used in many applications to track and monitor, always collecting data. NFC is one such device that can be used for tracking the money that flows in and out of the system. This can be done by placing NFC chips on the currencies. Since 2009blockchain has gained tremendous momentum being used in various applications across different platforms. Blockchain has been a promising approach to securing your transactions on a decentralized database. This paper aims to understand these technologies and propose an approach using both these technologies to track the genuine currency from fake ones.
DESIGN OF INFORMATION TECHNOLOGY GOVERNANCE IN DOMAIN EDM BASED ON COBIT 5 IN RS. PHC

PHC hospitals are type B hospitals in Surabaya that implement IT to provide effectiveness in business processes. Currently the need for IT services is increasing and IT is increasingly sophisticated, this makes PHC hospitals continue to improve IT quality. The authorized part in IT development is the board level for evaluating, directing and monitoring IT. But at this time in the hospital there were no risk assessments, IT policies, monitoring of IT risk management, determination of IT standards and IT HR management, so that the implementation was not in accordance with the needs and caused re-changes in implementation requiring time, effort and costs for research . In solving the problem solving there needs to be an IT governance that focuses on board level, the framework that can be used is CobIT5, which has support for managing board level parts, namely Evaluation, Direct Monitoring (EDM), The results of this information technology governance design in the form of 33 recommendations for achieving capability level 1. 33 These recommendations are obtained from output work products that include 5 EDM domains that can ensure having a governance framework, IT benefits that support business, risk optimization, resource optimization and stakeholder transparency. Keywords: Information Technology Governance, Board Level, CobIT5, EDM.
Factors affecting the development of college lecturing staff in the context of professional education innovation

In the context of a change in career education, there are many factors that affect faculty and develop college faculty in different ways, but focus on the basic factors. The following: The management environment (including the external environment and the internal environment), the management entity (including the school management apparatus, the school management staff, the task division) developing teaching staff, teachers themselves)
Enhanced Region-specific Algorithm: Image Quality Analysis for Digital Kirlian Effect

Research on digital Kirlian effect especially its quality after certain algorithm taken part is overlooked. Thresholding the image in binary form couldn’t give an analysis enough details on its significant features. This study is introducing an Enhanced Region-specific algorithm, ERS to extract the captured digital Kirlian effect as human radiated energy inside an EPI (Electrophotonic Imaging) image. By utilizing image morphology transform, ERS is improving the procedure of blob extraction process by fitting an absolute arithmetic process in-between the gray-level and binary slice of the image. Henceforth, this paper is focusing on the image quality analysis after the process, subsequently offers a new diagnostic information on captured Kirlian effects through an EPI image. This paper present that the quality of processed digital effect under ERS algorithm are in lower MSE and higher PSNR with its correlation coefficient to its original image better than segmented and binary slices. Significant and most-significant details on the image are able to being preserved to its better quality using the proposed algorithm.
The Contributions of WhatsApp to Social Inclusion: A Case of Internally Displaced Persons in Nigeria

This paper addresses the topic on how WhatsApp can improve the lives of internally displaced persons (IDPs) affected by conflict. To theorize the complex relationship between mobile technologies and social inclusion, Sen’s five distinct instrumental freedoms was drawn upon to understand the use of WhatsApp by IDPs affected by Boko Haram insurgency in Nigeria and its impact on their social inclusion. Based on a one-week fieldwork of an ongoing research, the case narrative presented both the freedom outcomes afforded the IDPs by the use of WhatsApp and also the impediments that hinder the developmental impact. Finally, we conclude by providing some implications for research and practice.
Aplikasi Data Mining dengan Menggunakan Metode Naive Bayes untuk Prediksi Penentuan Resiko Kredit pada Koperasi Sido Makmur

AbstractCooperation is are legal entities that serve savings and loan services. Sido Makmur Cooperation is a financial institution that serves savings and loan services. In granting cooperation of Sido Makmur is still using the manual method by looking at the record of the ledger that is in the cooperation. Before the cooperation gives credit to the customer, the cooperation must conduct a survey to find out whether the loan applicant is eligible or not eligible for credit. Surveys must be carried out carefully to avoid the occurrence of credit less smoothly. Decision support is needed to help the cooperation in predicting credit applicants. So a system is created that can classify which factors have the most influence on the level of credit payments in cooperation. So from that this study uses Naive Bayes to produce easy decisions, and has the value of accuracy obtained. In the application there is a feature that can be used to make decisions for customers who will apply for credit at a cooperation. Blackbox testing on the application can run well as well as testing algorithms that have been running well on the application made. The results of this study showed that the average value of Accuracy testing reached 75%.Keywords: Naive Bayes, Cooperation, Credit, Prediction, Data Mining.