Reviewerly/exHarmony huggingface dataset:
A Big-Bang Big- Crunch Type 2-Fuzzy Logic Based System For Malaria Epidemic Prediction In Ethiopia

ABSTRACT- Malaria is a life-threatening disease caused by Plasmodium parasite infection with huge medical, economic, and social impact. Malaria is one of a serious public health problem in Ethiopia since 1959, even if, its morbidity and mortality have been reduced starting from 2001. Various studies were conducted to predict the Malaria epidemic using mathematical and statistical regression approaches, nevertheless, they had no learning capabilities. In this paper, we presented a type-2 fuzzy logic-based system for Malaria epidemic prediction (MEP) in Ethiopia which has been optimized by the Big-Bang Big-Crunch (BBBC) approach to maximizing the model accuracy and interpretability to predict for the future occurrence of Malaria. We compared the proposed BBBC optimized type-2 fuzzy logic-based system against its counterpart T1FLS, non-optimized T2FLS, ANFIS and ANN. The results show that the optimized proposed T2FLS provides a more interpretable model that predicts the future occurrence of Malaria from one up to three months ahead with optimal accuracy. This helps to answer the question of when and where must make preparation to prevent and control the occurrence of Malaria epidemic since the generated rules from our system were able to explain the situations and intensity of input factors which contributed to the Malaria epidemic and outbreak.
Application Level of E-Management in Higher Institutions atthe Kingdom of Saudi Arabia:Case Study on King Abdulaziz University

Background/Objectives: To know the application level of E-Management in the higher education institutions in the Kingdom of Saudi Arabia concentrated on the level of application in King Abdulaziz University, the descriptive approach was chosen for the case study.Methods/Statistical Analysis: Study population consists of all management staff working in different faculties, administrations and departments at King Abdulaziz University, Jeddah, Saudi Arabia.600 individuals were simply chosen randomly.The paper used 7 of previous studies as references.Findings: The study concluded in its findings that the application level of (E-planning) is at a good level at King Abdulaziz University in Jeddah, also the application of (electronic regulation) in King Abdulaziz University contributes in ensuring connection between different levels of management.It also helps to facilitate the access to transactions and their plan of operation between various different units and management's levels in the university, creating a regulatory environment, which is accurate and flexible.It reduces the travail and difficulty of moving between different managements to complete transactions.Also it concluded the quality of application level of (electronic implementation) in a high degree according to the sample's opinions that were discussed.In addition, the application of the electronic control is done below the required level according to the sample's opinions that were discussed.The findings of the study revealed that the general value of the arithmetic mean of all four fields of E-Management (E-planning, electronic regulation, electronic implementation and electronic control) with regard to the application level of E-Management at King Abdulaziz University in Jeddah.according to the point of view of the sample's opinions of the study that reached (4.16), which is a very high value that indicates the possibility of applying the fields of E-Management at King Abdulaziz University in Jeddah which is very good.The average answer values of the four fields in applying E-Management ranged between (4.46 -3.81) in a percentages ranged between (89.2% -76.2%).Improvements/Applications: The study recommends that the university staff be encouraged to increase the activation of shifting to practice E-Management in fact, and awarding the distinguished in using it with material and moral bonuses.Working on reducing or eliminating the routine procedures at the university that delay the complete shifting process to E-Management.Increasing the training courses of the human resources employees in the field of E-Management, especially with regard to E-planning and electronic control.Moreover, the university management should focus on designing integrated awareness programs suitable for all the employees and clients to illustrate E-Management concept, advantages, objectives and the services provided by it, and how to obtain them.
국내외 뮤지컬 번역 연구 현황 및 향후 연구 방향

This study aims to examine the trend of research on musical theatre translation in South Korea and overseas, and to suggest the main focus of future research. This attempt will ultimately help the research on musical theatre translation build on the industrial and academic momentum and therefore position itself as an independent sub-discipline within Translation Studies. Literature review suggests that musical theatre translation has been under-researched in terms of quantity, but the topics, methods and theoretical backgrounds has laid the basic foundation for further research both at home and abroad. Limitations and suggestions in the previous studies show that future research should focus on the specificity of the musical theatre genre, the characteristics of each country or culture’s musical theatre industry and meta-research.
A Diachronic Assessment of Research on Machine Translation Methodology

Abstract Approaches of machine translation are streamlined into three types based on strategies of knowledge processing, i.e. syntax-based methods, rule-based methods, and corpus-based methods, with their merits and demerits assessed. Consequently, the updated research tendency of the neural networks, as the current mainstream methods of machine translation, mainly comprising computational complexity reducing, words alignment enhancing, prior knowledge and constraints incorporating are stressed. Eventually, the future development orientations of the mainstream methods of neutral machine translation, particularly that of networks integration, data parallelizing and training are prospected.
An Affinity Propagation Approach for Entity Clustering with Spark

With the dramatically increasing amount of electronic data, the automatic detection and extraction of information in the text is the first step for all other data analysis activities. Clustering entities is the important methods for discovering knowledge and extracting appropriate data applied in several applications. The clustering methods often need to pre-determine the number of clusters and the initial centers thus the problem of "initial staring conditions" usually occurs. In this paper we propose a new approach that overcome this problem for clustering entities without pre-defining the number of clusters with the Affinity Propagation algorithm. The algorithm is built on the Spark platform for speed up the clustering process. The experiments are conducted on different characteristics datasets.
Applying a genetic algorithm to build a classification tree

In the article a method is proposed to improve the accuracy of classification based on the interpreted model of decision trees by using a genetic algorithm at the stage of tree construction. A General description of the algorithm, features of implementing genetic operations, and results of a computational experiment are presented.
Trust-Based Heuristics Approach on Saboteur Board Game Decision Making

The saboteur card game is a good example of incomplete-information game. This paper implements a new trust-based heuristics approach in Saboteur board game simulation, where each of the players' actions are recorded and calculated by the other players based on their own beliefs. This paper founds that the approach has proved to be very effective in shaping each of the players' beliefs.
Analyzing the Concept of Information in Crime Detection and Investigation Activities

The concept of information involved in the field of disclosure and investigation of crimes is one of the central in modern forensics. Moreover, crime detection and investigation activities are seen as work with information about the crime and its participants. At the same time, there is a discussion among forensic scientists about which of the terms is the most correct: forensic or forensic relevant information. The paper reflects an analysis of a number of points of view, as well as formulates a proposal for the use of the term “forensic information” and suggests its initial definition. According to it, forensic information is any information about the investigated event of a crime and related circumstances. From a practical point of view, the study of forensic information is necessary in order to identify and develop the most effective ways of collecting, researching, evaluating and using it, checking its authenticity, and introducing the necessary technical means.
Variable word length word-aligned hybrid compression

The Word-Aligned Hybrid (WAH) compression is a prominent example of a lightweight compression scheme for bitmap indices that considers the word size of the underlying architecture. This is a compromise toward commodity CPUs, where operations below the word granularity perform poorly. With the emergence of novel hardware classes, such compromises may no longer be appropriate. Field-programmable gate arrays (FPGAs) do not even have any meaningful "word size".
Connective frequencies in child-directed texts

Abstract Starting from a usage-based perspective of language acquisition, the present study investigates the occurrence of connectives in BasiLex, an 11.5 million word corpus of texts Dutch children encounter during the primary school years (grades 1–6). Specifically, we investigate how connective frequencies change across grades, how these changes reflect the theorized orders of connective acquisition in the work of Bloom et al. (1980) and Evers-Vermeul &amp; Sanders (2009) , and we make a comparison with the frequencies of connectives in the adult written language corpus Celex. Briefly summarized, our findings show that the numbers of connectives increase sharply after grade 1 and then more steadily across grades 2 to 6; we see some reflection of the connective acquisition theory of Evers-Vermeul &amp; Sanders in the connective frequencies in texts offered to children; and we see some remarkable similarities between connective frequencies in the adult corpus Celex as compared to connective frequencies in grade 1 and grade 6 texts in BasiLex. Our findings suggest that the written input offered to children harmonizes with theoretical approaches that emphasize the incremental growth of word knowledge in children as a function of exposure.
Coin Flipping in Dynamic Programming Is Almost Useless

We consider probabilistic circuits working over the real numbers and using arbitrary semialgebraic functions of bounded description complexity as gates. In particular, such circuits can use all arithmetic operations (+, −, ×, ÷), optimization operations (min and max), conditional branching (if-then-else), and many more. We show that probabilistic circuits using any of these operations as gates can be simulated by deterministic circuits with only about a quadratical blowup in size. A slightly larger blowup in circuit size is also shown when derandomizing approximating circuits. The algorithmic consequence, motivating the title, is that randomness cannot substantially speed up dynamic programming algorithms.
Artefact of Augmented Reality to Support the Treatment of Specific Phobias

Phobia is a type of anxiety disorder defined by a persistent and excessive fear of an object or situation. Currently, exposition treatment is the most practiced method to treat phobias, although it comes with limitations. We can reduce these limitations by combining Augmented Reality techniques with the exposition treatment. Its benefits are a decrease in costs, versatility of the process and full control of the procedure by the therapist. As shown in multiple research, Augmented Reality has obtained interesting results in the treatment of psychological disorders serving as a foundation for the development of this project. The recent technological advances in the field also allowed for an easier access to Augmented Reality which is accessible to use even in old smartphones. Our goal is to develop an artefact using WebAR in conjunction with psychologists who treat phobic patients, to create a program to support the treatment of phobias with a gradual exposition system of the phobia. Their help will be essential to understand the most important requirements needed for the program. We believe this system has the potential to improve the treatment of phobias serving as an extension to the current methods by providing comfort and efficiency.
Human Activity Recognition based on Summarized Semi-detailed Frame Information and Contextual Features

In this paper, a simple but effective methodology is proposed for human activity recognition. Major focus of the work is on the design of descriptor for the video sequence. Frames are first represented by commonly used histogram of oriented gradients and histogram of flows. Using these histograms, a semi-detailed frame level descriptor is formed. It is further augmented by incorporating contextual information. Frame level descriptors are then summarized to obtain the sequence level features that are utilized in activity recognition. SVM classifier is used for recognition. Proposed methodology is simple enough and free from any tracking and intensive details. Experiment is done on the KTH dataset. Performance of the proposed descriptors and their combinations are studied. Result indicates the potential of proposed features along with the contextual information. Comparison with a number of existing systems show that the performance of the proposed methodology is comparable.
Eye Tracking for Target Acquisition in Sparse Visualizations

In this paper, we present a novel marker-free method for identifying screens of interest when using head-mounted eye tracking for visualization in cluttered and multi-screen environments. We offer a solution to discerning visualization entities from sparse backgrounds by incorporating edge-detection into the existing pipeline. Our system allows for both more efficient screen identification and improved accuracy over the state-of-the-art ORB algorithm.
The Qur'anic Classification Uses Algorithm C4.5

According to the place he descended, the surah can be divided into Makkiyah and Madaniyah groups.This division is based on the place and time that is predicted to decrease the surah or certain verses, where the surah that descended before the Prophet S.A.W migrated to Madinah classified as surah makkiyah while the surahs that descended after it belongs to Madaniyah surah.Surah that descended on Mecca in general suras with a small number of verses, contains the principles of faith and morality, the call is addressed to humans.While the surahs that descend on Medina, in general, have a large number of verses, containing the rules that govern one's relationship with God, or someone with another (shari'ah) and other discussions.The division by phase before and after the hijrah is considered more appropriate because there is a surah Madaniyah which descended on Mecca.the surah that was sent down in Mecca was 86 suras, and 28 suras were revealed in Medina.This grouping is done by determining the classification of data and using an algorithm.Algorithm C4.5 is one induction decision tree to conduct the classification process, the results of testing the accuracy of applications made using C4.5 algorithm is 95.6%.From this result, it is known that the C4.5 algorithm is quite well used in the classification process for the classification of suras in the Qur'an
FCM Based Parameter Analysis of Educational Models

In the paper a possible algorithm is given for the FCM construction and training modelling a primary school teaching environment, taking in account the main parameters which have effects on the final exam grade of pupils. The initialization of the FCM was done using the collected data from one region in Serbia in the school year 2015/2016. After the learning process, the trained parameter values can be regarded as the prediction of them for further school years, and are compared to the published statistical parameter values for the next school period.
Mining Security discussions in Suomi24

This study examines how social network based approach can be applied in order to mine the security oriented discussions in Suomi24 online forum. The approach employs a student survey questionnaire to collect a dictionary related to Finland national security. In subsequent analysis, the vocabulary terms are mapped to Suomi24 corpus in order to construct the associated social network analysis that quantifies the dependency among the various vocabulary terms. Especially, the analysis of the dynamic variation of the network topology would enable the decision-maker to devise appropriate communication scheme to maximize intervention in the public sphere and reach a wider audience. Besides, a parser that finds the keywords from VeRticalzed text data format is developed to aid the construction of the underlined social network.
The Formalization of Asymmetry in Disjunctive Evaluation

The main property of disjunction is substitutability, i.e., the fully satisfied predicate substitutes the rejected one. But, in many real–world cases disjunction is expressed as the fusion of full and optional alternatives, which is expressed as OR ELSE connective. Generally, this logical connective provides a solution lower than or equal to the MAX operator, and higher than or equal to the projection of the full alternative, i.e., the solution does not go below any averaging function and above MAX function. Therefore, the optional alternative does not influence the solution when it is satisfied with a degree lower than the degree of full alternative. In this work, we propose further generalization by other disjunctive functions in order to allow upward reinforcement of asymmetric disjunction. Finally, the obtained results are illustrated and discussed.
Design of Altered Cognition with Reshaped Bodies

In this research, we aimed to expand humans' physical ability by reshaping natural physicalities that allow body transformation. By modifying the existing body parts, we proposed a system that changed humans' cognition of reality and their environment, and presented its use case. We conducted a study that explored the use of actions: (1) opening and closing of the pinnas (ears) and (2) pulling of the nose to change humans' body schema and humans' cognition of the environment. The results showed that people were able to perceive changes in the position of the pinnas in three different conditions (100% Open, 50% Open, 0% Open) with high accuracy. We also observed that opening and closing the pinnas could alter the cognition of the sound field, as opposed to the normal ears. Furthermore, we found that the feeling of a nose is extending was felt more by using the system. This finding implied that the modified body schema improved our recognition of the odor source and its position.
Vladimir Soloviev on the Mission of Art: The Modern Aspects

The article analyses the final lines of V. Soloviev’s work “The General Sense of Art,” correlating them with the art tendencies of the modern civilization. The author addresses Soloviev’s idea about the transforming role of art in relation to the reality, the real life. It is stated that, in the modern era, within the commercial mass culture domination, the entertaining function of art comes to the forefront. At the same time, an opposing tendency can be observed: a movement towards the all-encompassing unity, understanding of the universal, the priority of common values (the ideas of ecological ethics, common religion, non-violence). The author indicates that the dialectic negation of the negation law is manifested in the history of art, in the realization of its varied functions.
Design of a Biped Water Supply Robot Based on Single Chip Microcomputer

The biped water-feeding robot is a kind of confrontation event that has always appeared in robot events. This paper proposes a design scheme for a biped water delivery robot. This water feeding robot is introduced from various aspects such as the driving method of the robot, signal acquisition, control and design process. This design uses a single-chip microcomputer to communicate with the steering gear control board, thereby achieving control of the steering gear. A large number of experimental verifications show that the overall structure of the robot is reasonable, the stability is high, and it can meet the requirements.
Generalized Omnipresence Detection

Identification and Tracking of a person in a video are useful in applications such as video surveillance. Two levels of tracking are carried out. They are Classification and monitoring of individuals. The human body’s color histogram is used as the basis for monitoring individuals. Our project can detect a human face in a video and store the detected facial features of the Local Binary Pattern Histogram (LBPH). In a video, once a person is detected, it automatically track that individual and assigns a label to that individual. We use the stored LBPH features to track him in any other videos. In this paper, we proposed and compared the efficiency of two algorithms. One constantly updates the background to make it suitable for illumination changes and other uses depth information with RGB. This is the first step in many complex algorithms in computer vision, such as identification of human activity and behavior recognition. The main challenges in human/object detection and tracking are changing illumination and background. Our work is based on image processing and also it learns the activities and stores them using machine learning with the help of OpenCV, an open source computer vision library.
GazeLockPatterns: Comparing Authentication Using Gaze and Touch for Entering Lock Patterns

In this work, we present a comparison between Android's lock patterns for mobile devices (TouchLockPatterns) and an implementation of lock patterns that uses gaze input (GazeLockPatterns). We report on results of a between subjects study (N=40) to show that for the same layout of authentication interface, people employ comparable strategies for pattern composition. We discuss the pros and cons of adapting lock patterns to gaze-based user interfaces. We conclude by opportunities for future work, such as using data collected during authentication for calibrating eye trackers.
Using Topic Information to Improve Non-exact Keyword-Based Search for Mobile Applications

Considering the wide offer of mobile applications available nowadays, effective search engines are imperative for an user to find applications that provide a specific desired functionality. Retrieval approaches that leverage topic similarity between queries and applications have shown promising results in previous studies. However, the search engines used by most app stores are based on keyword-matching and boosting. In this paper, we explore means to include topic information in such approaches, in order to improve their ability to retrieve relevant applications for non-exact queries, without impairing their computational performance. More specifically, we create topic models specialized on application descriptions and explore how the most relevant terms for each topic covered by an application can be used to complement the information provided by its description. Our experiments show that, although these topic keywords are not able to provide all the information of the topic model, they provide a sufficiently informative summary of the topics covered by the descriptions, leading to improved performance.