bluuebunny/crossref_metadata_2025_split huggingface dataset:
ДІАГНОСТУВАННЯ АДАПТАЦІЙНИХ РОЗЛАДІВ У СУБ’ЄКТІВ ОСВІТНЬОГО ПРОСТОРУ: РЕЗУЛЬТАТИ НАУКОВОГО ДОСЛІДЖЕННЯ
Authors: Prorok Nataliia 
Published: May 2024

У статті представлено основні результати наукового дослідження колективу лабораторії психодіагностики та науково-психологічної інформації Інституту психології імені Г.С. Костюка НАПН України за темою «Діагностування адаптаційних розладів у суб’єктів освітнього простору». Визначено основні прояви адаптаційних розладів у здобувачів освіти шкільного віку в умовах воєнного стану; адаптовано психодіагностичний інструментарій до цих умов і проведено його апробацію; проаналізовано основні шляхи підвищення адаптаційного потенціалу; конкретизовано зовнішні та внутрішні чинники, які впливають на адаптаційні процеси особистості в освітньому просторі на окремих етапах шкільного навчання. Обґрунтовано систему методик і процедур психологічної діагностики проявів адаптаційних розладів у суб’єктів освітнього простору шкільного віку в умовах воєнного стану, яка включає: аналіз особливостей сучасної ситуації в Україні (що суттєво впливають на зміст психологічної діагностики); наукові вимоги до психологічної діагностики (яка частково стає посткризовою) в закладах загальної середньої освіти під час воєнного стану; систему методик і процедур, які виявляють прояви адаптаційних розладів.
Estudio de la prevalencia de la discrepancia en los tipos sanguíneos ABO/Rh entre las madres y los recién nacidos
Authors: Echeverría Román Milena Camila , Lata Carranza Oscar Stiward , Lam Vivanco Adriana Mercedes , Maldonado Encalada Yomara Solange , Sánchez Sisalima Fulvia Mercedes , Maldonado Guerrero Emerson Armando 
Published: May 2024

Introducción. - La incompatibilidad sanguínea es un tema importante debido a los riesgos que presenta para la salud materno-fetal. Por lo que es importante la prevención, detección temprana, un tratamiento adecuado y una buena educación para asegurar el bienestar tanto de la madre como del lactante. Al comprender sobre la incompatibilidad sanguínea se llega a obtener mejores resultados perinatales y se fomenta que exista una atención médica de calidad. Población y Métodos. - El estudio tiene como objetivo determinar la incidencia de la incompatibilidad sanguínea ABO/Rh materno-fetal en el Hospital Obstétrico Ángela Loayza de Ollague. Se la realizó durante los meses de septiembre a diciembre del año 2023. La metodología utilizada fue de tipo descriptivo, el estudio estuvo conformado con una población de 51 madres e hijos, la información de los pacientes se la extrajo de las historias clínicas pertenecientes al laboratorio del hospital. Resultados. Los resultados que se obtuvieron indican que no hubo una gran incidencia de la incompatibilidad materno-fetal en la población de estudio, por lo que solo obtuvo 13 casos positivos de los 51 estudiados, correspondiente a un 25.5%, lo que indico que no hay una gran incidencia de esta patología, y con test negativos se encontró 54.9% del estudio. Sin embargo, existieron casos de incompatibilidad donde no presentaron valores alterados en sus exámenes y casos donde no presentaban incompatibilidad, pero si alteraciones en sus valores de bilirrubinas, reticulocitos y TGO. Conclusiones. – El presente estudio servirá como una fuente de información sobre esta afección con la finalidad de prevenir a la población y a los profesionales de la salud sobre la importancia de prever y de brindar un tratamiento a las madres y a los recién nacidos para disminuir los riesgos que pueda causar para su salud.
The Effect of Remuneration and Work Motivation on the Performance of Administrative Employees
Authors: Kaparang Stevani Fransy Gillis , Sampe Stephen , Londa Very Y. 
Published: May 2024

This study aims to determine and analyze the effect of Remuneration and Work Motivation on the Performance of Administrative Employees at RSUP Prof. Dr. R. D. Kandou. This study used a quantitative approach. The population in this study was administrative employees at RSUP Prof. Dr. R. D. Kandou. The sampling technique uses a simple random sampling technique. Data collection techniques by distributing questionnaires, while secondary data through literature studies by reading various literature. Data analysis techniques use Research Instrument Test (validity and reliability test), t test, F test, r square test and multiple linear regression analysis with the help of SPSS software. The results of this study show that: (1) Remuneration has a positive and significant effect on performance; (2) Work Motivation has a positive and significant effect on Performance; (3) Remuneration and Work Motivation have a positive and significant effect on Performance. The performance of administrative employees at RSUP Prof. Dr. R. D. Kandou is influenced by remuneration of 41.4% and work motivation of 31.4%. It is partially concluded that the variable of Work Motivation most dominantly affects the Performance of Administrative Employees. Suggestions that can be conveyed to RSUP Prof. Dr. R. D. Kandou that it is necessary to continue to monitor and evaluate employee performance so that the services provided to the community are maximized. Moreover, motivation at work is one of the factors that can improve the performance of administrative employees at RSUP Prof. Dr. R. D. Kandou.
PENERAPAN PROGRAM PELATIHAN KERJA DALAM MENGURANGI JUMLAH PENGANGGURAN STRUKTURAL (STUDI KASUS: PROVINSI DKI JAKARTA)
Authors: Khoerunnisa Tia , Handayani Tiani , Alya Nazwa , Haura Ulfia , Fadilla Arif 
Published: May 2024

Tingkat pengangguran di Provinsi DKI Jakarta mengalami penurunan dengan kisaran 1 hingga 2 persen dari 439,90 ribu orang pada tahun 2021. Kemudian turun menjadi 377,29 ribu orang pada tahun 2022, dan pada tahun 2023 juga mengalami penurunan menjadi 354,49 ribu orang. Namun angka ini masih sangat tinggi jika dibandingkan dengan daerah lain. Tujuan penelitian ini adalah 1) Untuk mengetahui tingkat keefektifan program pelatihan kerja dalam mereduksi tingkat pengangguran struktural di DKI Jakarta, 2) Untuk membuktikan bahwa pentingnya meningkatkan keterampilan atau kualitas Sumber Daya Manusia (SDM) agar mudah terserap ke dalam lingkungan kerja. Metode penelitian yang digunakan adalah jenis kualitatif dengan pendekatan deskriptif. Pengumpulan data dalam penelitian ini menggunakan studi literatur, seperti jurnal, buku, dan informasi melalui internet yang dinilai sangat akurat dan relevan. Peneliti akan mengambil dan mengolah data dengan tahun terbit sekitar 2017 hingga 2023 (data 5 tahun terakhir) . Hasil penelitian ini menunjukkan bahwa dampak penerapan program pelatihan kerja sangat efektif untuk menekan tingkat pengangguran dan meningkatkan keterampilan Sumber Daya Manusia (SDM) sangat diperlukan. Hal ini membuktikan bahwa program pelatihan kerja yang diselenggarakan oleh pemerintah DKI Jakarta menyesuaikan dengan tuntutan yang diberikan pasar tenaga kerja.

The unemployment rate in DKI Jakarta province has decreased by around 1 to 2 percent from 439,90 thousand people in 2021. Then it fell to 377.29 thousand people in 2022 and in 2023 it also decreased to 354,49 thousand people. However, this figure is still very high when compared with other regions. The objectives of this research are 1) To determine the level of effectiveness of job training programs in reducing the level of structural unemployment in DKI Jakarta, 2) To prove the importance of improving the skills or quality of Human Resources (HR) so that they are easily absorbed into The work environment. The research method used is qualitative with a descriptive approach. Data collection in this research used literature studies, such as journal, books, and information via the internet which were considered very accurate and relevant. Researchers will collect and process data with publication years around 2017 to 2023 (data for the last 5 years). The results of this research show that the impact of implementing job training programs is very effective in reducing the unemployment rate and improving Human Resources (HR) skills which are very necessary. This proves that the job training program organized by the DKI Jakarta government adapts to the demands made by the labor market.
Décentralisation de la Gestion des Ressources Humaines en Santé en République Démocratique du Congo. Enjeux et Perspectives
Authors: Bwalya Peti Richard 
Published: May 2024

But : L'étude analyse les enjeux et défis de la décentralisation de la gestion des ressources humaines en santé en RDC, visant à améliorer l'efficacité et l'équité du système de santé grâce à une approche décentralisée et à identifier des perspectives novatrices pour une éventuelle réforme du système de gestion des ressources humaines en santé.
Méthodologie : L’étude a utilisé une approche qualitative avec un questionnaire de 26 questions déployé électroniquement via Google Forms et en format papier, administré aux agents de différentes provinces entre janvier et avril 2024. L'analyse des données a été réalisée en utilisant les outils Jamovi pour les tableaux de fréquences et Microsoft Word pour la mise en forme des textes.
Résultats : Les résultats ont montré un soutien majoritaire à la décentralisation de la gestion des ressources humaines en santé en République Démocratique du Congo et une croyance en son potentiel pour améliorer la motivation du personnel. Les avantages perçus incluaient une amélioration de la motivation financière et administrative du personnel, tandis que les principaux défis étaient la résistance au changement des autorités centrales. Les disparités entre provinces étaient également notées, avec des doutes de par les participants.
Contribution unique à la théorie, à la politique et à la pratique : L'étude en lumière les enjeux de rapprocher la prise de décision des réalités locales et souligne les défis de la santé dans un système centralisé, l'impact négatif de la centralisation sur leur motivation et stabilité et propose des perspectives novatrices pour une éventuelle décentralisation adaptée aux réalités locales pour garantir un système de santé plus efficace, équitable et durable en RDC.
Evaluación de la citología, colposcopia e histología para detectar neoplasia cervical intraepitelial de alto grado en el Hospital Materno Infantil German Urquidi
Authors: Allende Larrain Gustavo , Claure Salinas Jackeline , Surriabre Dick Pedro , Torrico Ferrufino Andrea , Salvatierra Amaya Thania , Flores Leon Amilcar , Vargas Rivero Tania , Villaroel Salinas Jaime Claudio , Rodriguez Herbas Patricia 
Published: May 2024

Objetivos: Bolivia enfrenta serios problemas en la prevención secundaria del cáncer cervicouterino. Este estudio tiene por objetivo evaluar la eficacia y concordancia de los métodos de diagnóstico en la prevención secundaria del cáncer de cuello uterino para detectar lesiones cervicales intraepiteliales de alto grado.
Métodos: Sesenta y dos pacientes con una citología alterada o una prueba VPH-ar positiva complementada obligatoriamente con una citología, fueron sometidas a una colposcopia y biopsia dirigida. Aquellas pacientes con diagnósticos histopatológicos de NIC2+ en la biopsia colposcópica recibieron el tratamiento escisional correspondiente, obteniéndose muestras de tejido para su análisis histopatológico (biopsias escisionales). Los resultados de la citología e impresión colposcópica fueron comparados con los resultados histopatológicos de la biopsia colposcópica. Finalmente, los resultados histopatológicos de NIC2+ de la biopsia colposcópica fueron comparados con los resultados de la biopsia escisional.
Resultados: La sensibilidad de la citología y la impresión colposcopia para detectar NIC 2+ fue de 31,43% y 80% respectivamente. La concordancia (Índice Kappa) de los resultados de la citología y la impresión colposcópica comparadas con los resultados NIC 2+ de la biopsia colposcópica fue 0,15 (leve) y 0,43 (moderado) respectivamente. Finalmente, la comparación entre los resultados histopatológicos de la biopsia colposcópica (NIC2+) y de la biopsia escisional dio una coincidencia del 68%.
Conclusiones: De las pruebas evaluadas, la citología resulto ser la que tuvo menor eficacia y concordancia para detectar NIC 2+. La colposcopia mejora la identificación de lesiones subyacentes NIC 2+ en pacientes con citologías iguales o menores a LIE-BG.
Pengembangan Instrumen Penilaian Autentik pada Pembelajaran Menulis Teks Cerita Pendek untuk Penguatan Sikap Jujur dan Percaya Diri
Authors: Hani Siti Umi 
Published: May 2024

AbstractThe aim of this research is to develop an Authentic Assessment Instrument in Learning to Write Short Story Texts to Strengthen Honesty and Confidence. This research was carried out by referring to the ADDIE development method which consists of five stages, namely analysis, design, development, implementation and evaluation. The product developed in this research is an instrument for assessing honest and confident attitudes in vocational schools. The assessment instrument developed by the author was validated by expert lecturers and practitioners. This validation includes four aspects, namely the validity aspect, content aspect, practicality aspect, and construction aspect. The results of the validation carried out by expert lecturers and practitioners stated that the HOTS-based authentic assessment instrument in explanatory texts in high school developed by the author was suitable for use as an assessment instrument in high school. Tujuan dalam penelitian ini pengembangan Instrumen Penilaian Autentik dalam Pembelajaran Menulis Teks Cerita Pendek untuk Penguatan sikap Jujur dan Percaya Diri. Penelitian ini dilaksanakan dengan mengacu kepada metode pengembangan ADDIE yang terdiri dari lima tahap yaitu analisis, desain, pengembangan, implementasi, dan evaluasi. Produk pengembangan dalam penelitian ini adalah instrumen penilaian sikap jujur dan percaya diri di SMK. Instrumen penilaian yang dikembangkan penulis divalidasi oleh dosen ahli dan praktisi. Validasi tersebut meliputi empat aspek yaitu aspek validitas, aspek isi, aspek kepraktisan, dan aspek konstruksi. Hasil validasi yang dilakukan oleh dosen ahli dan praktisi menyatakan bahwa instrumen penilaian autentik berbasis HOTS dalam teks eksplanasi di SMA yang dikembangkan penulis laik digunakan sebagai instrumen penilaian di SMA.
Kesantunan Berbahasa dalam Pembelajaran di Kelas IX SMPN 2 Sungguminasa
Authors: Sakaria Sakaria , Usman Usman , Nurfaizah Nanni 
Published: May 2024

This study aims to describe the form of language politeness in Indonesian language learning in class IX of SMPN 2 Sungguminasa. This research applies descriptive qualitative research method. The data of this research is in the form of spoken language taken from conversations that occur in the interaction between students and teachers during the discussion process in Indonesian language learning. The data sources in this research are teachers and students of class IX SMPN 2 Sungguminasa. The collected data were processed through qualitative descriptive analysis approach. The results show that the politeness form of teacher-to-student interaction in Indonesian language learning in class IX, namely obeying 5 forms of maxims, namely, the maxim of wisdom, the maxim of generosity, the maxim of respect, the maxim of agreement, and the maxim of sympathy. Furthermore, the principle of politeness that is violated is the maxim of humility by students.
Implementation of Competence-Based Curriculum for Kinyarwanda Subject at IPRC Karongi Technical Secondary School, Rwanda
Authors: Nteziyaremye Alphonse , Ndizeye Alphonse , Murenzi Jean De Dieu 
Published: May 2024

In 2015, the thirteenth resolution of the Rwanda National Dialogues Council concluded that Rwanda should implement strategies for promoting the Kinyarwanda language and the values of Rwandan culture at all levels of education. The National Constitution of 2003, revised in 2015, stipulates Kinyarwanda as both the national and official language, a status this resolution aims to reinforce. This study was conducted to analyze the best practices and challenges encountered by trainees and trainers during the implementation of Kinyarwanda Competence-Based Curriculum (CBC) at the school under study, and to provide suggestions to mitigate these challenges. Two theories, namely constructivism and curriculum implementation theories, guided the conduct of the study. To address the identified research questions, the researchers employed a descriptive research design, conducting both quantitative and qualitative analyses of the collected data, which included both numerical and non-numerical information. The researchers used a questionnaire to collect data from both trainers and trainees. The study's key findings underscore the need to encourage certain best practices, including motivated learners and qualified and experienced trainers. However, some challenges persist in implementing Kinyarwanda CBC at IPRC Karongi/Technical Secondary Schools (TSS), such as the lack of specific training for Kinyarwanda trainers, the insufficient weekly timetable for Kinyarwanda subjects, and the lack of useful teaching and learning resources. Lastly, as recommendations of this study, trainees, should maximize their efforts in writing and speaking Kinyarwanda, trainers, on the other side, should increase their efforts in practicing CBT/CBA approaches, parents are urged to be role models and encourage their children to use Kinyarwanda language effectively, the school is should provide enough time for Kinyarwanda readings as well motivating trainees who participate in competitions of Kinyarwanda language whereas the decision makers in education are advised to carefully select and employ the qualified trainers, increase the weekly time allocated for teaching Kinyarwanda subject, improve the preparation and implementation of comprehensive assessments.
Strong Regular Domination in Litact Graphs
Authors: G. Shankarajyothi  
Published: May 2024

Strong regular domination in a litact graph is a novel domination parameter that has been introduced in this paper. A dominating set D⊆V(G) is known as Strong regular dominating set of G, if for each point x∈V(G)-D there is a vertex y∈D with an edge xy∈E(G) and deg⁡(x)≤deg⁡(y) and all vertices of 〈D〉 holds the equal degree. The lowest cardinality of such vertices of D is known as strong regular domination number of G which is represented by γ_str (G). The current study aims by taking strong regular domination on a litact graph m(G) denoted by γ_str [m(G)] and to obtain some bounds on γ_str [m(G)] in terms of various parameters of G such as vertices, edges, maximum degree, diameter and so on and also in terms of various domination parameters of G such as total domination of G, connected domination of G and so on. Furthermore, outcomes resembling those of Nordhaus-Gaddum were also obtained.
Design and Performance Evaluation of Network Intrusion Detection System Based on Deep Learning
Authors: Lin Yang  
Published: May 2024

Today’s internets are made up of nearly half million various networks. In any network connection, detecting attacks by their kinds is challenging task as various attacks may have several connections, their number vary from few to hundreds of network connections. In this paper, Design and Performance Evaluation of Network Intrusion Detection System Based on Deep Learning (NID-SPGAN-STO) is proposed. Initially, input data are collected by NSL-KDD dataset. Afterward, data are fed to preprocessing. In preprocessing, Distributed Set-Membership Fusion Filtering is used to remove redundant and biased records from input data. The pre-processed output is given to feature selection for selecting optimal features utilizing Piranha foraging Optimization Algorithm. Finally the selected features are transferred into the Semantic-Preserved Generative Adversarial Network (SPGAN) for detecting Network Intrusion, like DoS, Probe, R2L, U2R and Normal. Generally SPGAN doesn’t reveal some adoption of optimization techniques for computing optimal parameters for promising precise network intrusion detection. Hence Siberian Tiger Optimisation (STO) is used to enhance weight parameters of SPGAN. The proposed NID-SPGAN-STO method is implemented using Python. To detect network intrusion detection, performance metrics likes precision, sensitivity, FI-score, specificity, accuracy, RoC, computational time are considered. The NID-SPGAN-STO method attains 30.58%, 28.73% and 25.62%, higher precision, 20.48%, 24.73%, 29.32% higher specificity and 30.98%, 26.66% and 21.32% higher F-score, 26.78%, 34.47%, and 22.86% higher recall analysed, with existing techniques likes improved binary gray wolf optimizer with SVM for intrusion detection system in WSNs (NID-SVM-IDS), network intrusion detection system utilizing deep learning (NID-DNN), design with improvement of efficient network intrusion detection system utilizing ML methods (NID-IDS-ANN) respectively.
English Speaking Assessment Algorithm Based on Deep Learning
Authors: Xiaoli  Hu  
Published: May 2024

English as a Foreign Language (EFL) students perform when speaking in public. An increasingly globalized world, effective public speaking is critical, but EFL students struggle to perform it, despite importance of qualities such as eye contact, speech pauses, there is presently no objective examination of such elements. A summative assessment has historically been the predominant form of evaluation in college English speaking assessments. Exam-centric teaching has considerable negative effect on foreign language training. In this research work, English Speaking Assessment Algorithm Based on Deep Learning (ESA-NEGCN-NBOA) is proposed. Initially, input video data are gathered from the multiple video dataset (MVD).The input video data is then pre-processed using Deep Attentional Guided Image Filtering (DAGIF) to remove presence of signal-dependent noise and improve lack of pixels from the regions and enhanced the video data. The data that has been pre-processed is utilized to Feature extraction using New General Double Integral Transform (NGDIT), which extract the significant attributes such as mel-frequency cepstral coefficients, energy, speech rate and pitch. Then NEGCN is proposed to improve students spoken English performance by assessmenting the English speakers. In general, NEGCN doesn’t express some adaption of optimization approaches for determining optimal parameters to promise exact improvement of assessment. Therefore, NBOA is proposed to enhance weight parameter of NEGCN for English speaking assessments, which precisely assess the English speaking. Performance measures such as accuracy, assessment error, evaluation time, pretest and posttest are examined when the proposed ESA-NEGCN-NBOA method is put into practice. The proposed ESA-NEGCN-NBOA method attains21.36%, 23.42% and 19.29% higher accuracy, 23.36%, 18.42% and 28.27% lower evaluation error, 20.36%, 27.42%, 28.17% lesser evaluation time analysed with existing techniques, likes innovative strategy towards oral English assessment utilizing machine learning, data mining, blockchain methods(IST-OEA-ML), machine learning assessment system for spoken English depend on linear predictive coding (AS-SE-LPC-ML), multimodal transfer learning for oral presentation assessment (MM-TL-OPA) respectively.