Reviewerly/exHarmony huggingface dataset:
Reconstructing Anamnesis in The Predisposition of The Directory Coverage of Prospective Librarians' Scholarly Works

Anamnesis is an interviewing activity conducted by interviewers with job applicants to obtain information about the applicant's educational, economic, social, and cultural background, as well as information about their experience, skills, and characteristics in order to avoid errors in making decisions about the required job position. Anamnesis uses interviewing techniques by asking structured and in-depth questions, including questions about the scientific work products of the job applicant, especially for librarian candidates. The scope of the directory should be able to be compiled in an interesting, in-depth, and varied manner through the suggestions of students or the guidance of scientific work advisers. The reality is that the student directory of scientific work authors still has a very limited thematic coverage area. The causes of this are among others, the students' lack of knowledge in disposing the theme of scientific work, which is about mobile libraries, archive preservation, human resources, library service quality, library effectiveness, library organization, library utilization strategies, library visitors, library roles, and library utilization. A wide thematic coverage can convince interviewers of the anamnesis activity to fulfill the standards or qualifications for librarians set by the workforce user. The directory of scientific work themes that have not yet been studied in the last 200 scientific works, include retrieval systems, indicative abstracts, informative abstracts, critical abstracts, mini abstracts, consecutive numeric, literary documentation, duplicators, electronic libraries, syndication, fumigation, historiography, interpolation, inversion, author catalogs, hybrid computers, classification, open services, monographs, news agencies, netiquette, public domain software, referral centers, retrospective, reviews, reproduction, roaming processes, quick references, alphabetical address filing systems, functional information systems, circulation, syllabification, secondary sources, telewriters, teleprocessing, bibliographic data, vertical recording, volume binding, web browsers, web hosting, working a beat, reference lists, message handling services, collection indexing, card control systems, zero access storage, subject headings, references, recordings, periodization, collection ordering, collection call numbers, reference collections, collection codes, library entrance counters, collection status, library modems, collection zones, web systems, equipment layouts, lexicon vocabulary, cataloging title catalogs, and archive restoration.&#x0D;
EXPERT SYSTEM FOR DIAGNOSING BEHAVIORAL DISORDERS USING THE DEMPSTER-SHAFER THEORY ALGORITHM

Behavioral disorders, especially in children, can have a significant impact on their development in various domains, such as social, emotional, and academic. The diagnostic process for this disorder can be complicated due to overlapping symptoms and the possibility of complex causal factors. Early identification and appropriate treatment of behavioral disorders is essential to prevent more serious impacts on an individual's psychological well-being. Lack of knowledge and difficulty in accessing psychiatrists to find out about behavioral disorders in children are factors that result in this problem requiring a solution. The aim of this research is to create an expert system that utilizes the Dempster-Shafer Theory algorithm to detect behavioral disorders, thus simplifying the diagnosis process and ensuring accurate results. The Dempster-Shafer theory, as an inference engine, can overcome uncertainty by combining several sources of evidence or data that may overlap or be incomplete, resulting in a stronger conclusion. The main feature of this expert system is its ability to carry out diagnoses based on symptoms and display diagnosis results, disease descriptions, and treatment options. Test accuracy produces a value of 90%, which shows that the Dempster-Shafer Theory approach can diagnose behavioral disorders effectively.
STUDENTS' WRITING SKILL THROUGH DIARY WRITING TECHNIQUE AT SMA NEGERI 5 KOTA TERNATE

The study that aims to determine does the use of diary writing technique can significantly improve students’ writing skills at SMA Negeri 5 Kota Ternate. This study used a quantitative method with a pre-experimental design. The researcher involved 20 students as the sample selected by using the convenient sampling technique. The research instrument was in the form of diary writing of students' personal experiences. The finding shows that diary writing technique at class X (IPA) can significantly improve. It provided the data of the pretest is 60.35 and post-test is 82, 95. It is evident that the result of post-test is higher than pretest. The analysis that the statistical value (4.35) is higher than the t-critical value (1.729) at the significant level of (0.05). This alternative hypothesis (Ha) stating that, diary writing technique improve students’ writing skill at SMA Negeri 5 Kota Ternate is accepted and hypothesis null (Ho) stating that diary writing technique does not improve student writing skill at first year student of SMA Negeri 5 Kota Ternate is rejected. This suggests that the use of this technique is effective to improve student writing skill at SMA Negeri 5 Kota Ternate
ENGLISH TEACHER’S STRATEGIES IN TEACHING STUDENTS WITH HEARING IMPAIRMENT AT SMP LUAR BIASA YPAC

This research aimed to identify English teachers’ strategies in teaching students with hearing impairment and the challenges which the teacher faced in classroom practices. The research method used is qualitative with a case study approach, The subject of this research was an English teacher at SMPLB YPAC. The data were collected by using observation checklist and interview. The result of research showed that there are two strategies used by teacher at SMPLB YPAC grade 8th, namely the manual method which has two basic components, namely sign language and finger spelling and the oral method, namely lip reading or speech reading. Implementing the strategy, there are challenges faced by teachers. The challenges are that first, students sometimes have difficulty understanding words and teachers sometimes need to repeat words or write them down. Second, the limited vocabulary of students and how to overcome them with the teacher needing to explain the definition and provide examples with the media. Third, the teacher did not push students to do exactly what the teacher says. Last, the need for repetition in delivering material with a long duration compared to regular students and the ability of the teacher to remain patient with students is very necessary in answering the last challenge.
Impact of Political Marginalization and Historical Conflicts on the Sustainability of SMEs in Anambra State, Nigeria

The untamed rise in Nigeria’s insecurity is of great concern to residents and observers. Aside from heightened unemployment, Nigeria is a troubled nation in need of international interventions to prevent the growth and spread of terror to various parts of the world. This study assessed the impact of perceived political marginalization and historical conflict on the sustainability of SMEs in Anambra State, Nigeria. To achieve the study intent, the design followed a qualitative pattern. Participants were in two groups: owners of SMEs on one side and Herders and farmers on the other. An in-depth interview was paramount to obtaining needed information. Thematic and Content analysis were adopted. Findings revealed that the willingness to ignore governmental directives increases as perceived marginalization increases. Also, a negative relationship between herders-farmers conflict and the business climate in Anambra state was discovered. The governor of Anambra state needs to consciously set up or empower if any, an internal mechanism under the Ministry of Agriculture to devise workable plans and strategies on how to resolve the existing conflict in order to boost investors’ confidence in the state.
Utilization of Augmented Reality Technology in Independent Speech Therapy Applications

One of the uses of information technology is augmented reality technology in the health sector. Augmented reality is used in the development of applications that are used for speech therapy for children with autism or children with speech delays. The method used for the development of speech therapy applications is the extreme programming method. This method can adapt to the development of an application in a short time and quite a lot of changes. The stages in the extreme programming method include identifying system requirements, planning activities during system/application development, system development process, iteration for system improvement until the final iteration, and no more user feedback, system/application production, and system maintenance with data backup and system recovery. After testing the system, it was concluded that three iterations occurred during the development of the speech therapy application. The last test showed that the user accepted the speech therapy application with a percentage of 77,14%. The output of this research is an augmented reality-based speech therapy application that is useful for independent speech therapy for children with speech delays.
The Effectiveness of Emotion Validation Pop-Up Books on the Emotional Development of Preschool Children as a Control for Children’s Mental Health Emergencies

One of the psychological problems experienced by children is emotional mental problems which can result in unhealthy emotional and mental disorders. The incidence of this disorder is around 3-10%, in the United States it is around 3-7% while in Germany, Canada and New Zealand it is around 5-10%. In Indonesia, there are still no definite figures regarding the incidence, even though this disorder occurs quite often. The Emotion Validation Pop-Up Book Research contributes to Preschool Children increasing their understanding of felt emotions through an attractive display. This research uses a quasi-experimental design. The number of samples used in the treatment group and control group was 30 students at Kindergarten N Pembina Kab. Kendal uses a simple random sampling technique. Statistical analysis uses independent T test and paired T test. The results showed that the research showed an independent T test (0.000&lt;α) and paired T test (0.000&lt;α). This study concluded that there were differences in the emotional development of preschool children between the control and treatment groups and there were differences before and after in the treatment group in the use of the Preschool Children’s Emotion Validation Pop-Up Book.
A Statistical Analysis of Vietnamese High School English Test Score Data

This statistical study, perhaps the first of its kind in Vietnamese academia, has tried to understand the patterns in high school students’ pre-college national exam test scores which hold tremendous significance in students’ college or university admissions. English belongs to one of the three mandatory subjects (the other two being Mathematics and Literature) where students must be tested as part of their overall evaluation. However, since English is a foreign language for the learners, many high school students, especially those from rural areas, struggle to attain an acceptable level of proficiency. Meanwhile, a good proportion of students, particularly those in urban areas and with their own substantial financial resources, do attend extra tutorial classes to gain an edge in English proficiency. In this study we have analyzed the provincial mean and median test scores over a period of three years (2019, 2020 and 2021). It has been noted that a province’s aggregate performance depends heavily on - (i) the province’s per capita gross domestic product (PCGDP), which measures a province's economic prosperity; and (ii) the average number of students per high school (ANSHS) which indicates the overall competitive environment the students encounter which helps them sharpen their language proficiency.
Syllabus Analysis of English for Hotel Receptionist Program with SKKNI in Kartu Prakerja by Mobile English

Hotel receptionists who work as frontline in the hospitality industry are supposed to be able to perform their duties no matter where the guests come from. In handling foreigners, English can be used as a medium to communicate and serve guests. To achieve a certain level of communication in English; the employee could take training programs and courses to upskill their language level in ESP. This study intends to analyze a syllabus of the ESP. By conducting this study, the researcher tries to find out the competencies being taught in the program and the suitability of the SKKNI as the standard reference. The method used in this study was qualitative research with a content analysis approach. The subject of this study was a syllabus developed by Mobile English as a learning institution that partners with the Kartu Prakerja Program. The instrument used to examine the study was a form of table. The study's results examined only five competencies taught in the program out of 14 competencies that should be acquired based on the SKKNI. The finding implies that future improvements in the syllabus and the program are needed to help the student be competent in their role as hotel receptionists
Uji Validasi Rancangan Aplikasi Kelengkapan Resume Medis di Klinik Almeta Medika

The quality of medical records becomes more valuable if the information written is complete, especially on the medical resume. Complete medical resume writing at Almeta Medika Clinic Banjarmasin has not been carried out, this causes patient information to be incomplete. So a complete medical resume application was designed. This research aims to validate the complete medical resume application at the Almeta Medika Clinic, Banjarmasin. This research method is descriptive qualitative, collecting data using questionnaires and checklists. The subjects in this research were medical records officers, Almeta Medika Banjarmasin clinic managers, IT expert respondents and materials experts. The results of this research were that by testing it was found that the design of the ERD, DFD and application for complete medical resumes at the Almeta Medika Banjarmasin Clinic contained a login, dashboard, 4 components of quantitative analysis and the results of quantitative analysis reports/summaries. ERD and DFD were created using Microsoft Visio and the medical resume application was created using Microsoft Access after identifying user needs and identifying data requirements. The complete medical resume application at Almeta Medika Clinic Banjarmasin has been designed according to the clinic's needs. Validation with medical records officers, Almeta Medika Banjarmasin clinic manager, IT expert respondents and material experts found the appropriate category. Validation testing of the medical resume completeness application at Almeta Medika Clinic Banjarmasin is designed according to the clinic's needs and is feasible to implement.
Survival Analysis of Battalion-Level Commanders(leaders) Using Big Data as Results of Brigade-Level KCTC Training - Focused on Infantry Battalion Defensive Operations -

In this study, we conducted a survival analysis on battalion-level commanders(leaders), focusing on infantry battalion defensive operations using the big data of brigade-level KCTC(Korea Combat Training Center) training results.Unlike previous studies, we utilized the brigade-level KCTC training results data for the first time to conduct a survival analysis, and the research subjects were battalion-level commanders(leaders), which can affect the battle. At this time, the battle results were defined, and through cluster analysis, infantry battalions were divided into excellent, average, and insufficient units, and the difference in the survival rate of the commanders was analyzed through the Kaplan-Meier survival analysis. This provided an opportunity to objectively compare the differences between excellent and insufficient units. Subsequently, factors affecting the survival of commanders were derived using the Cox proportional hazard model, and it was possible to confirm the influencing factors from various angles by also using the survival tree model. Significance and limitations confirmed in the research process were presented as policy suggestions and future research directions.
Federated Learning for Healthcare: A Comprehensive Review

Recent advancements in deep learning for healthcare and computer-aided laboratory services have sparked a renewed interest in making medical data more accessible. Elevating the quality of healthcare services and delivering improved patient care necessitates a knowledge base rooted in data-driven insights. Deep learning models have proven to excel in this regard, as they are specifically designed to embrace a data-driven approach. These models thrive on exposure to larger datasets, which enables them to continuously improve their performance. However, as healthcare organizations strive to aggregate clinical records onto central servers to construct robust deep learning models, concerns surrounding privacy, data ownership, and legal restrictions have emerged. Safeguarding sensitive medical data while harnessing collective knowledge from multiple healthcare centers is a challenging balancing act. One promising approach to address these concerns is the use of privacy-preserving techniques that allow for the utilization of data from multiple centers without compromising security. Federated learning (FL) is a technique that has emerged to enable the deployment of large machine learning models trained across multiple data centers without the necessity of sharing sensitive information. In this article, we present the most recent findings derived from a systematic literature review focusing on the application of federated learning in healthcare settings. This review offers insights into the current state of research and practical implementations of FL within the healthcare domain. By leveraging federated learning, healthcare institutions can harness the collective power of their data while upholding privacy and data security standards, ultimately leading to more effective and data-driven healthcare solutions.
Extended Reality Technologies in Physical Fitness for Health Promotion

This chapter presents a bibliometric analysis of extended reality technologies (i.e., augmented, virtual, and mixed reality) concerning physical fitness by analyzing 251 published documents from Scopus-indexed sources. Results from the analysis indicated that medicine and computer science are the prominent subject areas, and the International Journal of Environmental Research and Public Health and Lecture Notes in Computer Science are the leading publishers in this domain. The analysis further found variability in terms of authorship patterns and international collaboration in 58 documents. In addition to this, the analysis found that there has been a steady increase in publications in this domain, with a substantial surge from 2019 onwards. The United States and China are the leading contributors, with several collaborative networks among countries, particularly among high-income, western nations. Furthermore, the keyword co-occurrences indicated that there is a focus on VR, gamification, and health issues related to older adults.
Extraction of information and facts from data mining of random sequences for undergraduate research

Abstract A general method to extract information and facts from data mining of random sequences in biology and astronomy has been developed. The random sequence analysis has been implemented in several NSF-REU projects using NIH and NASA databases. Examples of RNA sequence with reference to Shannon-entropy based bioinformatics and SDO magnetic topology analysis with reference to solar physics are presented. The contrast to Brookhaven Synchrotron and high energy physics data analysis is also discussed. The feedback of administrating REU projects to our physics teaching for engineering students was found to be valuable and the examples of magnetic reconnection and geomagnetic induced current are presented. Therefore community college REU project provides connectedness awareness in the linking of previous published reports, critical thinking in result interpretation, and career development when going onto a senior college REU program, the top three benefits of college education, according to a 2016 July Money Magazine "Value of College" survey.
Sparse Observation Assimilated Digital Image Correlation for High Fidelity Deformation Field Reconstruction

Digital image correlation (DIC) is an image-based deformation measurement method, which has been widely used in multiple cutting-edge fields, benefitted from its noncontact, low cost and high robustness. However, achieving higher accuracy and overcoming the tradeoff between resolution and measurement uncertainty have been recognized as bottleneck problems for DIC. This paper proposes a new method by assimilating sparse observations into DIC, constituting “Assimilated DIC”, to reconstruct deformation fields with high fidelity. In the proposed method, the subpixel registration process in the traditional DIC procedure is viewed as a dynamic model, which constitutes the basis for assimilation. Meanwhile, the sparse observation provides highly accurate guidance for correcting the dynamic model, thus facilitating the update of model data towards the ground-truth. In addition to effectively improving the measurement accuracy without lowering the computational efficiency, Assimilated DIC can obtain a higher resolution without compromising the accuracy performance. And the boundary regions of multi-connected structures, which are generally subject to large errors by traditional methods, can be precisely reconstructed by Assimilated DIC. In this work, the proposed method with two types of observations on strain and displacement has been experimentally validated under various deformation cases, including a rigid-body translation, a heterogeneous deformation, and an extension of a holed plate. These excellent properties of Assimilated DIC have been confirmed in comparison with those of a traditional DIC method.
AYOLOv5: Improved YOLOv5 based on attention mechanism for blood cell detection

A crucial component of biological study and clinical trials is the microscopic examination of cells and tissues. Although tremendous progress has been made in computer-assisted microscopy cell detection techniques, especially recently based on deep learning, it still needs to be determined to accurately identify cell targets in the presence of dense and complex cell distribution. In this research, an improved YOLOv5 (AYOLOv5) based on the attention mechanism is suggested to address the issue of the low recognition rate of cell detection caused by this circumstance. Based on YOLOv5, the attention mechanism is introduced to improve the convolutional neural network's features in areas of the picture with a high density of features. The convolutional block attention module (CBAM) and the transformer encoder block are used in this study to develop the attention mechanism. The YOLOv5 integrated convolutional block attention module increases the weight of cell-dense regions in blood cell pictures and aids the network's ability to resist information other than cells. Additionally, the transformer block is introduced to YOLOv5′s processing of upper and lower feature data to improve the network's capacity to gather details about various cell properties, enabling AYOLOv5 to recognize and distinguish blood cells in cell-dense areas. The experiment was done on the dataset BCCD, and the mAP results for cell detection reached 93.3%, better than previously discovered. Also, the validation set's average recognition accuracy increased from 89% to 98%. The experimental results demonstrated that the suggested AYOLOv5 could extract the cells' feature information more effectively, considerably improving the cell pictures and recognition performance.