Reviewerly/exHarmony huggingface dataset:
THE EVALUATION OF USABILITY OF I-REHLAH PROTOTYPE BASED ON EXPERTS’ CONSENSUS USING FUZZY DELPHI ANALYSIS

To verify a product’s usefulness, each application must go through a testing or evaluation phase. The usability evaluation is described as a test performed on a real user to assess how easy it is to use an application. In this study, the respondents must use the developed prototype and evaluate it by answering the questionnaire provided in order to determine the usability of the i-Rehlah prototype. Since the evaluation of usability could not be applied to Arab tourists as the main respondents, the authors decided to appoint professionals in academia, industry and government as respondents. For the initial phase of construction for the real application, the choice of this technique and a target group of experts is deemed appropriate.
MITIGASI SERANGAN MITMA – EVIL TWIN PADA JARINGAN WIRELESS LAN (WLAN)

ABSRTACT - Wireless internet connection has been the choice for a cost-effective option compare to wired LAN connection, mostly for the convenience of the user. Compared to the wired LAN connection the WLAN connection present a vulnerability on the radio signal side of the connection. Apart from the security that’s been developed and implemented to secure the connection, the Evil-Twin Attack or Captive Portal Attack to the WLAN connection, targeted the user’s weakness, thus making it the go-to option and easiest option for the Script-Kiddies utilizing Kali Linux which is popular Linux Distribution for Penetration Testing. Therefore, it is essential to learn and understand how this kind of attack work in order to find the method’s weakness and mitigate the attack Kata Kunci: Evil-Twin, WLAN, Kali, Linux, Captive-Portal, Script-Kiddies
قياس وتطوير قدرات ومهارات أعضاء هيئة التدريس ومنسوبي المكتبة المركزية على البحث في مصادر قواعد المعلومات الإلكترونية المتخصصة والعامة دراسة تطبيقية على جامعة الطائف بالحوية

The research problem focuses on the adequacy of the training programs of the Taif University staff for searching into the principles of the sources of electronic information. Its significance lies in the fact that it is the first research attempt into the impact of this training on the ability of the University and the Central Library staff to utilize the principles of sources of specific and general electronic information that are available at the Central Library in Al-hawiyya.&#x0D; The research is based on a descriptive and statistical approach. The results show that the Electronic Website of the University is one of the most important tools through which the researched group has access to the electronic services of the Library, which means that this gate is an important electronic medium. It also shows that a significant number of them are sensitized about the availability of these services through their colleagues, which points to the weak communication activity of the library to create awareness about its services of the Electronic Library. Moreover, most of the sample groups do not have an account in the library and even those who have accounts do not have the required skills to use it. This is so because most of them did not participate in the training programs which were organized by the Dean Faculty.&#x0D; The results also show the order of the benefits that the utilizers of the Electronic Library generate from its services, the most important of which is the support they gain for scientific research and academic publications. The researcher has made a number of recommendations indicating the vital role of training sessions for the library staff and high academic qualification and awareness programs of the Library services through all its branches in the different regions and girls campus as well as through mobile telephones.
LibGuides: Teaching Staff: Getting more help

A guide for IMBE and FHSCE staff about the Library Information on where to get more 1-2-1 and online help from the Library
Measure Term Similarity using a Semantic Network Approach

Computing semantic similarity between two words comes with variety of approaches. This is mainly essential for the applications such as text analysis, text understanding. In traditional system search engines are used to compute the similarity between words. In that search engines are keyword based. There is one drawback that user should know what exactly they are looking for. There are mainly two main approaches for computation namely knowledge based and corpus based approaches. But there is one drawback that these two approaches are not suitable for computing similarity between multi-word expressions. This system provides efficient and effective approach for computing term similarity using semantic network approach. A clustering approach is used in order to improve the accuracy of the semantic similarity. This approach is more efficient than other computing algorithms. This technique can also apply to large scale dataset to compute term similarity.
IMAGE VS REPRESENTATION OF A REGION IN THE MEDIA: ANALYSIS OF COMMON INTERPRETATIONS

Russian scholars’ approaches to interpretations of the terms “image” and “representation” are analyzed. Essential differences between the notions in relation to the way regions may be portrayed in the media landscape are emphasized. An authorial definition of a region’s media image is formulated.
Is All-Win Possible? A Novel Smart Contracts-based Music Recommendation System

The current streaming music ecosystem provides a mature and prevalent platform for artists to publish music products and for listeners to consume music services. However, as the main power of streaming content producers, artists have little to no control over their musical works after assigning their copyrights and management to third parties, especially for long-tail artists. The booming development of blockchain technology in recent years brings a fresh change to the music industry. The clear copyrights recorded on-chain attract more and more artists to stand in line, although blockchain-based music platforms are still in their early stage of development. As the number of users and artists keeps increasing, some platforms continue to use the recommendation design of the current streaming music ecosystem. The shortage in this system could cause a long-tail phenomenon again. In this work, we proposed a novel music recommendation system by considering the value of three parties on the platform. Through designing two scheme-based recommendations by leveraging the flexible agreement design of smart contracts, we proposed an effective music promotion strategy for the blockchain-based music platform. It has been verified that the new model has attained significant improvement in the loyalty enhancement of platform users.
A rule-based/BPSO approach to produce low-dimensional semantic basis vectors set

The present study aims to generate low-dimensional explicit distributional semantic vectors.In explicit semantic vectors, each dimension corresponds to a word, which makes word vectors interpretable.In this study, a new approach is proposed to obtain low-dimensional explicit semantic vectors.Firstly, the suggested approach considers three criteria, namely, word similarity, number of zeros, and word frequency as features for words in a corpus.Next, some rules are extracted to obtain the initial basis words using a decision tree which is drawn based on the three features.Secondly, a binary weighting method is proposed based on the binary particle swarm optimization algorithm which obtains NB = 1000 context words.In addition, a word selection method is used to provide NS = 1000 context words.Thirdly, the golden words of the corpus are extracted based on the binary weighting method.Subsequently, the extracted golden words are added to the context words which are selected by the word selection method as the golden context words.The ukWaC corpus is utilized for constructing the word vectors.MEN, RG-65, and SimLex-999 test sets are used to evaluate the word vectors.Next, the results are compared to a baseline which uses 5K most frequent words in the corpus as the context words.The baseline method uses a fixed window to count the cooccurrences.The word vectors are obtained using the 1000 selected context words along with the golden context words.Compared to the baseline method, the suggested approach can increase Spearman's correlation coefficient for the MEN, RG-65, and SimLex-999 test sets by 4.66%, 14.73%, and 1.08%, respectively.
PERBANDINGAN TEKNIK RADIOGRAFI CLAVICULA PADA KLINIS FRAKTUR

ABSTRACT&#x0D; Background: The clavicle radiograph is one of the examinations that can diagnose fracture pathology. Radiographic examination of the clavicle generally uses the Antero Posterior (AP) and AP Axial projections 15°-30° cranially. But in fact radiology installations differ in using the position of the patient and the direction of the beam. The purpose of this paper is to determine the radiographic technique of the clavicle in clinical fractures from differences in patient position and beam direction and its effect on the results of the picture.&#x0D; Methods: This type of research is descriptive with a literature study approach, looking for research journals on google scholar, and science direct from November to December 2020, using the keywords clavicle, clavicle, clavicle radiograph, clavicle, clavicle fracture, clavicle x-ray. Of the 15 journals obtained, 4 journals met the criteria.&#x0D; Results: Examination using 2 projections is only able to provide visualization from a superior and inferior point of view. Examination using 4 projections is able to show viewing angles from anterior, posterior, inferior, and superior. So it can visualize the image better. The 15cranially AP projection is preferred over the 15caudally AP projection, because the measurement results are not shortened, and the fracture distance is more visible. No statistically significant difference was found for the difference in arm orientation between arm flexion and arm extension in shortening measurements. The degree of change in the location of the fracture image results in a vertical direction significantly shows greater results when the examination is carried out with the patient in an erect position when compared to the supine patient position.&#x0D; Conclusions: Based on the projection, the use of 4 projections can eliminate the effect of clavicle fracture distance, and provide a 3-dimensional image. Giving the direction of the beam with an angle above 15 with a cranially direction produces an optimal picture. In terms of patient position, the optimal image results in the erect position.
Virtual Voice Assistant Based on Voice Flow

Abstract: We face a perennial pandemic that forces everyone to stay within their premises, which engenders a decline in social interaction between individuals. Moreover, some people fear missing out, which correlates to the fact that individual proclivity towards human interaction is drained, which increases symptoms of depression and raises the bar for anxiety—inspiring from such social circumstances, we want to develop a system that aids in mitigating these social problems. Our system has an artificial neural network layout that enhances personalisation through voice application. An Autonomous Virtual Assistant System is an effective method that shall help a person deprived of social interaction get engaged in a gregarious task, deal with various problems faced by introverts by reducing the psychological impact of COVID 19. Keywords: Google Assistant, Intergromat, APIs, Voiceflow, Speech to text
THE PROPOSAL OF TEACHING AND CURRICULUM PRIORITIES OF THE SUBJECT VIDEO SURVEILLANCE SYSTEMS DURING DISTANCE EDUCATION IN THE TIME OF COVID-19

THE PROPOSAL OF TEACHING AND CURRICULUM PRIORITIES OF THE SUBJECT VIDEO SURVEILLANCE SYSTEMS DURING DISTANCE EDUCATION IN THE TIME OF COVID-19
Fast Deep Asymmetric Hashing for Image Retrieval

Recently, by exploiting asymmetric learning mechanism, asymmetric hashing methods achieve superior performance in image retrieval. However, due to the discrete binary constraint, these methods typically rely on a special optimization strategy of discrete cyclic coordinate descent (DCC), which is time-consuming since it must learn the binary codes bit by bit. To address this problem, we propose a novel deep supervised hashing method called Fast Deep Asymmetric Hashing (FDAH), which learns the binary codes of training and query sets in an asymmetric way. FDAH designs a novel asymmetric hash learning framework using the inner product of the output of deep network and semantic label regression to approximate the similarity and minimize the discriminant reconstruction error between the deep representation and the binary codes. Instead of using the DCC optimization strategy, FDAH avoids using the quadratic term of binary variables and the binary code of all bits can be optimized simultaneously in one step. Moreover, by incorporating the semantic information in binary code learning and the quantization process, FDAH can obtain more discriminative and efficient binary codes. Extensive experiments on three well-known datasets show that the proposed FDAH can achieve state-of-the-art performance with less training time.
On possible energy savings with transmission supported via feedback channel in CubeSat transceiver

Abstract Recently a transmission technique, which can save energy thanks to supportive transmission in the feedback channel, was presented for transmitted information with different probability distributions. The basic assumption for its practical exploitation is that a node collecting information has enough energy - much more than the supported node. So far, in the published theoretical analysis it was assumed that the node does not consume energy for receiving the supporting sequence or that the amount of this energy is negligible comparing to energy needed for transmission. This paper makes the analyses more exact and practically oriented. Particularly, it estimates possible energy savings by incorporating the energy expenditures for receiving the supporting sequence in scenarios with Poisson distributed payload messages. The data from a real transceiver for CubeSat are used for obtaining the numerical results in these estimations.
Using Jigsaw Strategies to Improve Participation and English Speaking Skills

There are still many teachers who do not apply appropriate learning strategies for students. This has an impact on the students' lack of English speaking ability. The purpose of implementing this Lesson Study is to increase the level of student participation in learning English. The Lesson Study is carried out in three stages in its implementation, namely Plan, Do, and SEE. In the Plan stage, the author and the Lesson Study team plan the implementation of the Lesson Study by determining the implementation time, materials, classes, and strategies used. The population in this study amounted to 30 students. In practice, data collection is done through observation, interviews, and lesson study techniques carried out in teams. The technique used to analyze the data is descriptive qualitative and quantitative analysis. The study results are the use of the Jigsaw strategy in learning due to the lack of student participation and the willingness of students to speak in English in learning English. After the implementation of the Jigsaw strategy, the students became more active. The result of this reflection (see) stage is that the implementation of the Jigsaw strategy has been successful, and for media problems such as LCD and classroom management by model teachers need to be improved again. Seeing the success of this strategy, the authors suggest that teachers use the Jigsaw strategy as a cooperative learning strategy that will help students become more active.
Fast incremental PEG parsing

Incremental parsing is an integral part of code analysis performed by text editors and integrated development environments. This paper presents new methods to significantly improve the efficiency of incremental parsing for Parsing Expression Grammars (PEGs). We build on Incremental Packrat Parsing, an algorithm that adapts packrat parsing to an incremental setting, by implementing the memoization table as an interval tree with special support for shifting intervals, and modifying the memoization strategy to create tree structures in the table. Our approach enables reparsing in time logarithmic in the size of the input for typical edits, compared with linear-time reparsing for Incremental Packrat Parsing. We implement our methods in a prototype called GPeg, a parsing machine for PEGs with support for dynamic parsers (an important feature for extensibility in editors). Experiments show that GPeg has strong performance (sub-5ms reparse times) across a variety of input sizes (tens to hundreds of megabytes) and grammar types (from full language grammars to minimal grammars), and compares well with existing incremental parsers. As a complete example, we implement a syntax highlighting library and prototype editor using GPeg, with optimizations for these applications.
INFLUENCE OF FAMILY SOCIOECONOMIC STATUS ON THE ACADEMIC PERFORMANCE OF STUDENTS IN SOBA LOCAL GOVERNMENT AREA OF KADUNA STATE

The paper examined the influence of family socioeconomic status on the academic performance of students in Soba Local Government Area. The study adopted a descriptive survey design. The population for this study comprised all public and private school students in Soba Local Government Area. A simple random sampling technique of method was used to select secondary schools in Soba Local Government Area. The researcher wrote the names of the schools in a different sheet of paper and folded it for someone to pick four (4) schools that were used for this study. The purposive sampling technique was used to select fifty (50) students from each school selected with the total of two hundred (200) secondary school students serving as the respondents for the study. A correlation coefficient of 0.61 was obtained and thus shows that the instrument is reliable for the study. Data collected were analysed using percentages and frequency count and the hypotheses were tested using the chi-square statistical method. The result of the findings revealed that the socioeconomic status of the family has a significant influence on the academic performance of students and single parent has a significant influence on the academic performance of students in Soba Local Government Area of Kaduna State. It was concluded that the socio-economic status of parents, as well as single parent’s influence on academic performance of students in Soba local Government Area, cannot be over-emphasized. In light of the results of this study, the recommendation was made that parents should work harder to increase their income level. This will have a positive effect on the academic performance of students. It was also recommended that single parents that are promiscuous or humanizers should repent and create more time to look into the academic performance of the children in school.
Planning and adherence of SUS Brazil booklet as a telerehabilitation instrument after discharge in patients with COVID-19 pneumonia

<b>Introduction:</b> Restrictions in agglomerations and the risk of contamination by Covid-19, associated with imminent need for rehabilitation, imply new strategies that allow safe and effective distance monitoring and guidance. <b>Objectives:</b> To elaborate and evaluate the adhesion of a printed booklet as a telerehabilitation tool for SUS Brazil. <b>Methods:</b> a descriptive study with discharged patients diagnosed with COVID-19 pneumonia. At first outpatient visit was included if SpO2 of less than 93%; or FR≥ 24ipm; or changes in the 6MWT: reduction in the expected percentage of the distance covered; or a 4-point drop in SpO2. For planning the booklet, criteria were established such as type of exercise, equipment written and visual communication of images and texts. For adherence’s analysis were sent weekly questions by digital platforms. The project was submitted to and approved by the institution9s ethics committee. <b>Results:</b> The booklet featured 36 pages, 28 exercises, BORG scale, 45 photos, targeted and exercise interruption guidelines, monthly reassessments, with powerbreathe classic®, portable oximeter, elastic bands and pressure gauge. Were delivered 17 booklets (13 men), 55.64±9,84 years old, 3 excluded, with access frequency 2.85 ± 1.30 times a week. 96% said they use the booklet as a tool for telerehabilitation. <b>Conclusion:</b> The SUS Brasil booklet, associated with continuous patients’s monitoring, can be considered a viable and highly adherent instrument to compose telerehabilitation.
Light Field Depth Estimation based on Occlusion Optimization

Light field depth estimation has superiority for its distinctive refocus characteristics. However, it remains challenges because of presence of occlusion. In order to detect more accurate occlusion region, this paper introduces a structured forests-based edge detection method that is more consistent with human vision system, then both consistency cue in angular patch and defocus cue in refocus image are combined to estimate initial depth map, finally, a global optimization method based on Markov random field is applied to enhance the quality of the initial depth map. In the process of optimization, this paper designs an adaptive weight to protect the edge. Experiments on HCI 4D light field dataset demonstrate the proposed method can achieve sharp transition around object boundaries. The proposed method outperforms some state-of-the-art light field depth estimation methods in both qualitative and quantitative evaluations.
Multi-Sensory Balance Board for Children with SPD &amp; ADHD Disorders

Nowadays, as technology grows, human life formation changes every second. These changes sometimes create harmful habits and affect our lifestyle, which unfortunately bring various diseases and disorders. ADHD (Attention Deficit Hyperactivity Disorder) & SPD (Sensory Processing Disorder) are common disorders in children. By giving children the right treatment at the younger ages, we can help them overcome their disabilities and not face any symptoms in their adulthood. The multi-sensory balance board is designed and developed to help medics diagnose the disorders in patients at early stages and monitor the treatment progress. The balance board uses multiple sensors to detect common human senses, visual, auditory, balance, and tactile sensing. Due to the safety issues for children during the COVID-19 pandemic, the balance board has been clinically tested for adults with stroke disorder. The research has concluded that it provides a fast low-cost with reliable results to diagnose the disorders in patients.