Reviewerly/exHarmony huggingface dataset:
CULTIVATING CRITICAL READERS THROUGH LITERARY-BASED STRUCTURED PROGRAMS AND INSTRUCTION

The love for reading (philanagnosia) is established from the early years of a child and contributes to his cognitive, linguistic, emotional and social development. The contact of a child with books is of crucial significance if we want to cultivate a critical reader and a future active citizen. This study examines the results of implementation of literary- based structured program and instruction in a sample of 450 students. The teacher's contribution is significant as s/he is the one who mediates between students and text, selecting each time the appropriate technique / strategy to lead the students into a critical approach of it and a constructive discussion. This paper presents a survey that was carried out in schools in the prefecture of Chania (Crete) in Greece and aimed at investigating the effects of structured literary-based program and its impact on children’s response as critical readers.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0626/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Manajemen Risiko Teknologi Informasi Pada Penerapan E-Recruitment Berbasis ISO 31000:2018 Dengan FMEA (Studi Kasus PT Pertamina)

Increasing the efficiency of time and human resources in the process of recruiting PT. Pertamina (Persero) to carry out its business processes that are spread throughout Indonesia is very much needed by implementing a website-based online recruitment system. Increased efficiency is obtained from a system that runs without constraints, while the weaknesses (vulnerabilities) in a system will cause great threats to the company, then the risk management of information technology on the application of the E-Recruitment system needs to be done by referring to ISO 31000: 2018 and risk assessment to get a Risk Priority Number (RPN), which is the priority of risk treatment for each risk attribute using the FMEA (Failure Modes and Effects Analysis) method based on ISO 31010: 2009 with the aim of knowing and assessing how much the threats and risks in an information system can become consideration of company stakeholders in implementing the system. Risks obtained in this study are 3 types of potential risks and 28 risk attributes, after a risk assessment has been obtained, the results are obtained that 7 risk attributes require special attention in the process of implementing the system so that it can run well in the future.
Intelligent Identification of Trademark Case Precedents Using Semantic Ontology

A registered trademark distinctively identifies a company, its products or services. A trademark (TM) is a type of intellectual property (IP) which is protected by the laws in the country where the trademark is officially registered. TM owners may take legal action when their IP rights are infringed upon. TM legal cases have grown in pace with the increasing number of TMs registered globally. In this paper, an intelligent recommender system automatically identifies similar TM case precedents for any given target case to support IP legal research. This study constructs the semantic network representing the TM legal scope and terminologies. A system is built to identify similar cases based on the machine-readable, frame-based knowledge representations of the judgments/documents. In this research, 4,835 US TM legal cases litigated in the US district and federal courts are collected as the experimental dataset. The computer-assisted system is constructed to extract critical features based on the ontology schema. The recommender will identify similar prior cases according to the values of their features embedded in these legal documents which include the case facts, issues under disputes, judgment holdings, and applicable rules and laws. Term frequency-inverse document frequency is used for text mining to discover the critical features of the litigated cases. Soft clustering algorithm, e.g., Latent Dirichlet Allocation, is applied to generate topics and the cases belonging to these topics. Thus, similar cases under each topic are identified for references. Through the analysis of the similarity between the cases based on the TM legal semantic analysis, the intelligent recommender provides precedents to support TM legal action and strategic planning.
Technical Evaluation and Boezem Bratang Operation Patterns In Surabaya

Surabaya is the second largest and most populous city in Indonesia and is inseparable from the problem of flooding which is still flooded the area of East Surabaya.Flooding is caused by Bratang boezem unable to accommodate rainwater discharge. Boeang Surabaya has an area of 19,900 m2, has two systems namely flood gates and flood pumps. The floodgate system will work to drain the boezem bratang water to wonokromo river if the water elevation at Wonokromo River is at under the elevation of Bratang boezem water and flow Gravitatively while the pump system will work if the floodgate system is no longer functioning. To overcome the problem of flooding in the region, it is necessary to conduct hydrological and hydraulics analysis by performing boezem routing to determine the Boezem capacity whether it can accept the planned rain discharge. a depth of 3 m is unable to accommodate a maximum flood discharge period of 2.5 and 10 years. so it is planned to increase the boezem depth which was originally 3 m to 4.6 m, and increase the pump capacity which was originally from 10.5 m3 / s to 14 m3 / s.From the plan, after the hydrologic and hydraulics analysis using Boezem routing, Boezem has been able to accommodate the planned rain discharge.
The Analysis of Students’ Pronunciation Error on English Diphthong Made by Fifth Semester of English Language Education Program Universitas Negeri Padang

This study aims to determine students’ pronunciation error in pronouncing English diphthong sounds made by students of English language Program Universitas Negeri Padang. This research is descriptive quantitative with 219 population. The sample of this study was 25 students chosen by various origin who were selected by using purposive sampling technique. The data were collected through pronunciation test and analyzed by using formula and the rubric score, while the students’ recordings were transcribed. The finding of this research showed that ability of students in pronouncing diphthong were fair (60.00%), good (24.00%), poor (12.00%) and very good only one students (2.00%). Therefore, it can be concluded that there are eight kinds of diphthong pronunciation error and various result of students’ ability. As the result, students need to practice more in pronouncing diphthong in order to improve their ability.
Dynamically occluded samples via adversarial learning for person re-identification in sensor networks

In this paper, we propose a novel data augmentation method to dynamically learn occluded samples via adversarial learning for person re-identification (re-ID) in sensor networks. Specifically, we design two CNN models to learn original-image features and occluded-image features, respectively. As for occluded-image features, we extract the most salient region from the attention map to obtain the meaningful occluded region. To match the CNN status, we dynamically occlude pedestrian images in each iteration and meanwhile generate training pedestrian images with high diversity. We also employ adversarial learning to improve the generalization ability of CNN model. A discriminator is introduced to distinguish original-image features and occluded-image features, and occluded-image features are optimized to confuse the discriminator. As a result, the representations for pedestrian images contain the discriminative complementary information. We conduct extensive experiments on Market1501, DukeMTMC-reID and CUHK03, and the experimental results verify that the proposed method exceeds the state-of-the-art methods by a large margin.
Forms and Consequences of the Cyber Threats and Extortion Phenomenon

Cyber threats and extortionate communications usually aim to influence the behavior or obtain compliance from victims. The phenomenon includes a wide range of forms, such as intimate partner violence; violence against women; dating abuse; sexual harassment; sexual coercion and extortion; etc. The victimization is linked to personal insecurity or disruption, mental and physical health, work or school performance, may represent a high financial burden, affecting negatively the sustainable development in a number of ways. The scale, scope, and challenges posed by this criminal phenomenon cannot be overstated. A deep analysis of the nature and extent of cyber extortion and threat is an essential component in the design of control strategies and programs. This research aims to provide an in-depth examination of the cyber threats and extortion phenomenon. The approach is interdisciplinary and empirically-informed. The analysis was done on a large number of cases and provides a comprehensive description of the essential characteristics of the phenomenon, including forms, communication vectors, and consequences for victims. The article concludes with recommendations for effectively addressing the phenomenon.&#x0D; Keywords: Cybercrime, Extortion, Speech, Threats, Violence, Discrimination, Ransomware
Entrainable Neural Conversation Model Based on Reinforcement Learning

The synchronization of words in conversation, called entrainment, is generally observed in human-human conversations. Entrainment has a high correlation with dialogue success, naturalness, and engagement. In this article, we define entrainment scores based on the word similarities in semantic space to evaluate the entrainment of system generation. We optimized a neural conversation model to the entrainment scores using reinforcement learning so that the system can control the degree of entrainment of the system response. Experimental results showed that the proposed entrainable neural conversation model generated comparable or more natural responses than conventional models and satisfactorily controlled the degree of entrainment of the generated responses.
Implementation of Technology in Education in Covid- 19

The era of 21 st century is often regarded as the era of technology.Technology has certainly changed the way we are living.It has impacted different facets of life and redefined living.Several manual tasks as well as complex and critical processes are now automated, thanks to technology. Education system tools no exception. Technology has revolutionized the field of education. Impact of technology on education is be seen in two ways: first, in the form of courses about technological development and their application and second, the application of technology and its allied tools in the process of instruction, learning and evaluation that even transcends all activities of educational institutions at different level. Today the role of educational technology in teaching is of great importance because of the use of information and communication technologies (ICT). Due to Covid-19 outbreak many universities shifting their focus on E -learning systems. With time and circumstances, the way educational institutions have openly welcomed the change, it is admirable. E-Learning in educational system not only brings innovation in traditional teaching methodologies but also improve students learning experience and performance. This paper is an attempt to explore the new roles of technology in recommencing teaching learning process in covid-19 pandemic. It will discuss the role of technology in education along with its merits and challenges. And hopefully facilitate our decisions about the use of technology to enrich the quality and educational opportunities for learners.
To Know we Need to Share - Information in the Context of Interactive Acquisition of Knowledge

Natural language interface requires much more complex processing than is currently assumed. We present a general review of foundational notions of data, information and knowledge, aiming at tentatively sketching out a set of subcomponents of an integra-tive linguistic theory of man machine interaction, bearing in mind that our model will favor further research on simulation of man man interaction. Our main concern is to show that in order to acquire knowledge humans need to extract it from multiple kinds of information as distributed in the content of natural language utterances.
Constraint Rules and Matching Micro-clusters Based Affinity Propagation Clustering Algorithm

The performance of original affinity propagation (AP) clustering algorithm is greatly influenced by an important parameter: preference (median of similarities between data points), and it may be difficult to identify complex structure data.To address the afore-mentioned issues, this paper proposes two novel methods namely the constraint rules-based affinity propagation (CRAP) and matching micro-clusters hierarchical clustering algorithm (MMHC).The CRAP algorithm can obtain better results by searching the optimal preference value by means of the constraint rules-based search algorithm (CRS).The MMHC algorithm initially takes results of AP as micro-clusters, then they are matched in order to achieve the right partitions of complex structure data.Experimental results demonstrate that the improved clustering algorithm performs better than AP.
Blockchain-Based Quality of Service for Healthcare System in the Gaza Strip

Electronic Health Records EHRs are critical, highly sensitive private information in healthcare, and need to be frequently shared among different parties for example patients, physicians and administration. Blockchain provides a shared, immutable and transparent health records of all the transactions to build applications with trust, accountability, and transparency. This provides a unique opportunity to develop a secure and trustable EHR data management and sharing system using blockchain. This study aims to develop the use of health records as well as finding the current status of EHRs by designing a checklist to measure the extent of use of health records in the Gaza Strip hospitals and exploring the possibilities of using blockchain technology to develop the use of the electronic health records to share accurate and complete health data between multiple parties such as patients, doctors, and managers in an effective, transparent and secure manner.
The Continuous Professional Development For EFL Teachers Of Higher Education

In global outbreak period of Quarantine (covid-19), Continuous Professional Development (CPD) for EFL teachers of higher education is more highlighted in this article. In terms of CPD activities, the teachers always need higher cognition about the importance of self-initiated professional development. They should acknowledge that the self-driven activities and tasks of professionalism act the significant roles in bringing about real change on teachers’ pedagogical effectiveness and efficiency.
METODE SUGESTI-IMAJINASI DALAM PEMBELAJARAN MENULIS DENGAN MEDIA LAGU

Imagination-suggestion method is a technique in writing lesson by using a song. Basically, this method is used by giving suggestions to stimulate the student’s imagination. The learning activities are divided into three stages:(l) planning, (2) activities, and (3) evaluating. The three stages in the activities are done by teacher and students before, during, and after leaning process. The application of this method inteachine descrintive writing can immnve the or remembering and organizing the facts, and giving the responds in theverbal symboland (4) the ability to make sentence variations.
Conceptual model of an intelligent decision support system to identify cultural values

This paper addresses the issue of developing a conceptual model of an intelligent decision support system to identify cultural values as well as the definition of basic work scenarios and constraints. It also notes the complexity of the approach to solving the problem. Suggested routes for further research and usage of this subject area were also identified.
Impact Assessment of Food Safety News Using Stacking Ensemble Learning

Food safety has always been the focus of public concern. Assessment of the impact of food safety news constituents an important job of the government departments. In this paper we present a method using stacking ensemble learning to assess the impact level of global food safety news. The news used for training the assessment model is collected from the Chinese customs. Each of the news articles is annotated with a label ranging from low impact, medium impact and high impact by the customs officials. For base learners in the ensemble learning model, we use Naive Bayesian, Support Vector Machine, XGBoost, FastText, Convolutional Neural Network, LSTM and BERT. A Naive Bayesian-based meta learner is used to integrate the assessment results of the base learners. The proposed method features end to end prediction of news impact using the original news text as input, and it advances the transdisciplinary development of artificial intelligence and risk assessment by improving the accuracy of impact assessment of food safety news compared with traditionally used methods.
Consolidation in Collaborative Design: An Exploratory Case Study

In collaborative software design scenarios, Consolidation is a key process for contributions from diverse participants to be understood, reviewed, and integrated into a coherent set of design objects. However, this process is complex because it acts at different times and objects throughout a design process, and few works in literature are devoted to addressing this process and its inherent complexity. This paper presents an exploratory case study to investigate Consolidation in a Design Thinking-inspired process. As results, remarks about dimensions of Consolidation, activities where Consolidation occurred and strategies used were identified, which can be a source for designing technical features for supporting Consolidation practices.
Securing patient Health Record in Blockchain With Abe Access Control

Electronic Health Record which is also known as EHR which is considered as the replacement of the paper records of the patients in a digital format in the health organizations.EHR plays a major role in treating the patients in all the departments of the medicine.These records consist of the medical history of patients.EHR acts as a medium of communication among healthcare practitioners.A decade ago, EHRs were touted as a key for increasing quality care.Today, providers are using data from patient records to improve quality outcomes through their care management programs.One of the key features of an EHR is that health information can be created and managed by authorized providers in a digital format capable of being shared with other providers across more than one health care organization.EHRs are built to share information with other health care providers and organizations such as laboratories, specialists, medical imaging facilities, pharmacies, emergency facilities, and school and workplace clinics.
Virtual Reality (VR) for Vestibular Rehabilitation: A Pilot Study Comparing VR with Conventional Rehabilitation with Conventional Rehabilitation Alone

Introduction:The current pilot study aims to establish the feasibility and benefit of adding Virtual reality based training to conventional vestibular therapy for rehabilitation of patients with vestibular disorders.Materials and Methods: Patients with chronic vestibular problems, undergoing Vestibular Rehabilitation Therapy (VRT), were divided into two groups of 5 patients each.Group B received conventional vestibular therapy alone, Group A had a Head mounted Virtual Reality therapy in addition to conventional VRT.The Dizziness handicap Inventory was administered to the patients before, during and after the treatment course to objectively assess benefits.Results: Group A with VRT and Vestibular Rehabilitation had demonstrably better response to therapy than the group B with Vestibular Rehabilitation alone.No patient complained of discomfort during the VR therapy.Conclusions: Though the numbers were small and the results not statistically analysable, this pilot study suggests that addition of VRT to vestibular rehabilitation protocols has benefit.
CHALLENGES FACED BY SCHOOLS STUDENTS: SOME CONCERNS IN DEVELOPING COUNTRIES OF ASIA (INDIA, AFGHANISTAN, IRAN ETC.)

The purpose of this paper is to point out the key challenges faced by school students. In line with this aim the researcher has done a thematic research methodology, through personal experiences from childhood, working as a school advisor and reviewing literatures to collect detailed information concerning school student’s challenges. After finding the valid sources the researcher has found that the most worrying challenges are sexual abuses by elder students and gangsters, conflict on the way of school, long distance to get to the school, gender discrimination between boys and girls in the families, bombing and attacks on schools, poverty, bulling and teasing, Case of (Afghanistan). Furthermore, overcrowded classrooms, poor equipment’s and lack of experienced teachers regarding recognition of the specific talents of different students and failing them in exams are another challenges on the way of school students. Moreover, illiteracy of parents and lack of help regarding their homework’s, family conflicts and it is effects on the child are part of difficulties faced by school students. Also, climate change, cultural differences, loneliness and communication problems are another uphill’s for migrant students in international schools in a foreign country, case of foregone students in (India). Likewise, lack of school opportunity, misguidance some of students with encouraging them to join to insurgent groups, and discrimination against illegal migrant families, case of 300 million Afghanistanian illegal migrants in Iran and Pakistan with no educational opportunities. In addition, physical punishment, religious discrimination and lack of free of thought against students of minorities are some big barriers on the way of studying in schools, case of (Iran). Finding also showed that smart phones and computers cause some of the students to waste their study time on playing games and face time management problem. Finally, carrying on offensive guns and using drags by some students which effects other students psychologically and increase the possibility of violence are the most serious challenges faced by school students. However, as it is such an international problem, for solution, the five multilateral institutions which are the key international stakeholders in the EFA movement: UNESCO, UNDP, UNFPA, UNICEF and the World Bank, should take action against the above mentioned challenges. In the Indian context too similar challenges are daunting the Indian education sector. This paper attempts to highlight such challenges and ways of managing them from the perspective of the above mentioned key international stakeholders.
Uniform Experimental Design for Optimizing the Parameters of Multi-input Convolutional Neural Networks

In this paper, a multi-input convolutional neural network (CNN) based on a uniform experimental design (UED) is proposed for gender classification applications.The proposed multi-input CNN uses multiple CNNs to obtain output results through individual training and concatenation.In addition, to avoid using trial and error for determining the architecture parameters of the multi-input CNN, a UED was used in this study.The experimental results confirmed that the dual-input CNN with a UED achieved accuracies of 99.68 and 99.06% for the CIA and MORPH datasets, respectively.The accuracy of the proposed CNN increased significantly when increasing the number of inputs.