bluuebunny/crossref_metadata_2025_split huggingface dataset:
О применении специальных адаптивных сеток в задачах нелинейной волоконной оптики
Authors: В.И. Паасонен , М.П. Федорук 
Published: October 2024

Работа представляет собой продолжение цикла исследований авторов, посвященных компактным схемам для численного решения задач нелинейной волоконной оптики. В качестве средства вычислений на неравномерных сетках предложена двухслойная схема типа предиктор-корректор, построенная по аналогии с хорошо зарекомендовавшей себя безытерационной схемой, ранее предложенной авторами для частного случая равномерной сетки. Изменен способ генерации адаптивной сетки — вместо конструирования управляющей функции по решению разработан явный способ задания сетки со сгущением в зонах больших градиентов, опирающийся на базовое преобразование Бахвалова. Приведены результаты численных экспериментов, выполненных на модельных задачах с известными точными решениями.
The paper is a further development of the authors’ research cycle on high-precision difference methods for numerical solution of nonlinear fiber optics problems (for the Schr¨odinger equation and the Ginzburg–Landau equation). A two-layer predictor-corrector type scheme is chosen as the О применении специальных адаптивных сеток ... 53 apparatus for computations on non-uniform meshes, which is constructed by analogy with the well proven noniterative scheme previously proposed by the authors for the special case of a uniform grid. In contrast to the frequently used three-layer scheme, which requires setting initial conditions on the first two layers on the evolutionary variable, the two-layer technique has no problems when a computation is started. Instead of the frequently used method of adaptive mesh generation relying on the construction of a control function based on a dynamically varying solution, an explicit method of setting the denser mesh in the zones of large gradients, based on the classical basic Bakhvalov transformation and on the knowledge of soliton locations, is applied. The global coordinate transformation is constructed by smooth conjugation of elementary basic transformations. It allows saving computational resources and avoiding undesirable larger grid step near extrema of the second derivative of the solution, for example, near the soliton peak or base. On two test problems the comparison of schemes of the fourth and second order of accuracy on constructed special grids and on uniform grids with the same number of steps is carried out. The order of accuracy of the schemes at moderate gradients of the solution is numerically confirmed. It is shown that at large gradients a reasonably constructed adaptive grid is a more important factor of computational efficiency than the order of accuracy of the schemes.
Космический мониторинг парниковых газов в Западной Сибири: технологии и первые результаты
Authors: А.А. Лагутин , Е.Ю. Мордвин , Н.В. Волков , В.В. Синицин 
Published: October 2024

Представлен обзор созданных в Алтайском государственном университете технологий мониторинга парниковых газов в атмосфере Западной Сибири. Полное содержание метана в атмосфере региона восстановлено с использованием регрессионной модели, обученной на данных гиперспектрального комплекса AIRS/AMSU ATMS спутников Aqua и NOAA и результатах модифицированной авторами химической транспортной модели MOZART-4. Для получения оценок полного содержания углекислого газа в атмосфере региона использованы данные орбитальных углеродных обсерваторий OCO-2 и OCO-3. Количественные оценки содержания диоксида азота получены по данным спектрорадиометра TROPOMI спутника Sentinel-5 Precursor. Предложена технология получения оценок эмиссии углекислого газа крупными промышленными центрами региона. Обсуждаются первые результаты оценок валовой и чистой первичной продукции для территории региона по данным орбитальных углеродных обсерваторий и радиометра ECOSTRESS.
The purpose of this work is to present technologies developed in the Altai State University aimed at monitoring greenhouse gases in the atmosphere of Western Siberia. Methods. The total methane content in the region’s atmosphere was reconstructed using a regres sion model trained on data from the AIRS hyperspectrometer of the Aqua satellite as well as the results of the MOZART-4 chemical transport model modified by the authors. To obtain estimates of the total carbon dioxide content in the atmosphere of the Western Siberia south, data from the orbital carbon observatories OCO-2 and OCO-3 were used. Quantitative estimates of the nitrogen dioxide content in the troposphere of the region were obtained from data from the TROPOMI spectroradiometer of the Sentinel-5 Precursor satellite. Emissions of carbon dioxide by large industri al centers of the region were obtained from orbital carbon observatories and the TROPOMI/Sentinel-5P radiometer data. Estimates of gross and net primary production for the region were obtained from data from orbital carbon observatories and the ECOSTRESS radiometer. Results. The analysis of satellite data on the content of CH4, CO2 and NO2, carried out by the authors, allowsestablishing a number of significant features in the dynamics of the behavior of these gases in the atmosphere of Western Siberia for the first time. Conclusions. The novel results obtained by the authors on the content of greenhouse gases in the atmosphere of the region of Western Siberia are consistent with both estimates and conclusions published annually in the bulletins of the World Meteorological Organization, reports of the Global Carbon Project and research results published in the literature for other regions.
Network intrusion detection system using machine learning models and data mining strategies: comprehensive study
Authors: R.H. Sahib , D.H.M. Jawad , A.K. Mtasher , J.J. Msad 
Published: October 2024

Cybersecurity concerns have increased as a result of the development of computat ing and intelligent gadgets and the growing interconnectivity of numerous systems. This study investigates the use of data mining techniques and machine learning models in building intrusion detection systems for network security. By investigating the use of several machine learning approaches, such as naive Bayes, random forest, support vec tor machines, decision tree, k-nearest neighbours, and XGBoost, this study seeks to answer this problem. Furthermore, data mining techniques including association rule mining and clustering algorithms are investigated. The network intrusion detection dataset, which can be downloaded from Kaggle, is used to train and evaluate the sys tem. The primary aim of this study is to provide a more effective and adaptable solution to the network intrusion problem, with the ultimate goal of developing a system that can accurately and efficiently detect and respond to network intrusions.
Проблемы кибербезопасности увеличились в результате развития вычислительных и интеллектуальных гаджетов и возросшей взаимосвязности многочисленных систем. В этом исследовании изучается использование методов получения данных и моделей машинного обучения при создании систем обнаружения вторжений для сетевой безопасности. Изучая использование нескольких подходов машинного обучения, таких как наивный байесовский алгоритм, случайный лес, метод опорных векторов, дерево решений, метод k-ближайших соседей и XGBoost, предлагаемое исследование пытается ответить на эту проблему. Кроме того, исследуются методы получения данных, включая алгоритмы нахождения ассоциативных правил и кластеризации. Набор данных обнаружения сетевых вторжений, который можно загрузить с веб-сайта Kaggle, используется для обучения и оценки системы. Основная цель этого исследования — предоставить более эффективное и адаптируемое решение проблемы сетевых вторжений, с конечной целью разработки системы, которая может точно и эффективно обнаруживать и реагировать на сетевые вторжения.
Membangun Kepercayaan Pasien : Kontribusi layanan Islami dan citra religius
Authors: Sulistyoningrum Merita , Zulfa Moch 
Published: October 2024

Penelitian ini bertujuan untuk mengethu peningkatan <em>Patient Satisfaction </em>melalui<em> </em><em> Islamic Service Quality </em> dengan <em>Hospital Brand Relegius Image </em>Sebagai<em> Variabel Moderating</em> pada Rumah Sakit Umum Daerah dr. Gunawan Mangunkusumo Kabupaten Semarang, Populasi dalam penelitian ini adalah pasien/keluarga pasien rawat inap. Pembahasan pentingnya Islamic service quality dan <em>Hospital Brand Relegius Image</em> untuk meningkatkan kepercayaan pasien telah banyak didiskusikan di beberapa kajian pustaka. Populasi dalam penelitian ini adalah pasien instalasi rawat inap RSUD dr Gunawan Mangunkusumo. Dengan menggunakan teknik pengambilan <em>stratified random sampling</em> yakni pengambilan sampel dengan memperhatikan karakteristik populasi sehingga sampel menjadi representasi. Pengambilan sampel menggunakan rumus Slovin, data diperoleh dari 180 orang responden dengan menggunakan kuesioner. Analisis data dengan menggunakan Analisis Deskriptif Variabel dan Analisis SEM dengan Metode Partial Least Square (PLS) menunjukkan bahwa bahwa Islamic Service Quality memiliki pengaruh signifikan dan positif terhadap Patient Satisfaction. Lebih lanjut, pengujian hipotesis menunjukkan bahwa pengaruh ini menjadi semakin kuat apabila rumah sakit memiliki hospital brand image religius yang kuat. Keandalan memiliki nilai mean terendah dalam Islamic Service Quality, Keunikan nilai-nilai keagamaan yang diimplementasikan dalam layanan kesehatan tidak hanya meningkatkan kualitas layanan tetapi juga memperkuat hubungan antara pasien dan penyedia layanan.
Gender identity disorder and its relations to avoidance symptoms among homosexuals
Authors: Ismail Jarjis Moaid , Husen wali Taha 
Published: October 2024

Gender identity refers to the way humans view themselves and perceive themselves to be attractive both sexually and romantically. It is an individual's appreciation and satisfaction of being heterosexual, bisexual, homosexual, or cisgender. It refers to an individual's sexual understanding of himself and is part of one's identity, which is different from the sexual understanding of oneself. Gender identity disorder means a robust desire of pertinence towards the opposite sex and robustly insistence on this otherness.
Avoidance is classified within the framework of cluster 3 of personality disorders, which is identified by The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Hence, one can argue those who have this kind of personality disorder may appear in them withdrawal behavior; and they view themselves as restless, and they feel that they are rejected and despised by others.
The researcher argues that homosexuals in Kurdish society are not accepted, and a large majority of people see them as sick, and others as victim due to their vulnerability to social and psychological problems. This study aims at finding relations between gender identity disorder and symptoms of avoidance in homosexual persons. The descriptive and relational methodology is used to intentionally select 108 subjects, 84 males and 24 females.
Based on literatures and contemporary studies in the field, the researcher prepares the items of the gender identity disorder, yet for symptoms of avoidance, the researcher relies on and takes its terminologies from The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). The terminologies in both variables are presented to groups of experts in education, psychology, and psychiatrics, and for extracting stability from both the measures, (split-half) and (alpha Cronbach’s) is used. After applying the last measures on individuals from the sample of the study, statistics of the data is analyzed using Statistical Package for the Social Sciences (SPSS). The study concludes that there is a robust, positive and significant correlation between gender identity disorder and avoidance symptoms among homosexuals. Based on the results recommendations are also given.
The impact of using some educational tools according to the Jiksaw method in learning technical performance of some types of basketball dribbling skill in students.
Authors: Qasim Dhahir Lawest , Mohammad Mohammad Zana 
Published: October 2024

- Identifying the impact of using some educational tools according to the Jiksaw method in learning the technical performance of some types of dribbling skill in basketball.
- Identifying the impacts of the educational curriculum that are followed in learning the technical performance of some types of dribbling skill in basketball.
- Identifying the differences between the experimental and control groups in the post-tests of the researched variables.
The researcher used the experimental approach by designing two equal experimental and control groups with pre- and post-test, while the research sample only consists of students of the first academic year in the faculty of physical education/ Koya University for the academic year (2021-2022), and the researcher used a number of devices, tools, means of collecting information, questionnaire, tests and measurements to reach the objectives of the study. Then the researcher prepared the educational curriculum according to Jiksaw's method. For processing data, the researcher used statistical analysis (arithmetic mean, standard deviation, Levin Test , percentage , T- Test for samples of equal number), by using SPSS and the researcher reached the following conclusions:
1- The teaching aids according to the Jigsaw method and the used method had a positive impact on learning the technical performance of some types of basketball skill for students.
2- Incorporating the teaching aids of the Jigsaw method led to more effectiveness in learning the technical performance of some types of the skill of tapping in basketball for students.
3- The superiority of the experimental group (the teaching aids according to the Jigsaw method) over the control group (the method used) in learning the technical performance of some types of the skill of tapping in basketball for students.
PENDEKATAN MSN DALAM IMPLEMENTASI KEBIJAKAN MENTERI DALAM NEGERI NOMOR 72 TAHUN 2022 TENTANG PENYELENGGARAAN IDENTITAS KEPENDUDUKAN DIGITAL
Authors: Wahyuningsih Sri 
Published: October 2024

Berkembangnya teknologi informasi menuntut semua negara mengikuti pergerakan globalisasi yang syarat dengan kecepatan dan keterbukaan. Dengan adanya hal tersebut pemerintah Indonesia bersama sumberdaya yang dimiliki telah berupaya membuat suatu kebijakan yang menunjang tercapainya identitas kependudukan digital. Salah satu kebijakan tersebut yaitu dengan dikeluarkannya PERMENDAGRI no. 72 tahun 2022 tentang Penyelanggaraan Identitas Kependudukan Digital atau disingkat (IKD). Penelitian ini akan menyajikan potret implemntasi Permendagri Penyelenggaraan Identitas Kependudukan Digital di Kelurahan Warujayeng Kecamatan Tanjunganom Kabupaten Nganjuk. Alasan ditentukannya Kelurahan Warujayeng dikarenakan penerapan Identitas Kependudukan Digital belum optimal semenjak dikeluarkannya kebijakan tersebut. Penelitian ini menggunakan pendekatan mentality, system, dan networking (MSN) untuk memotret penyelenggaraan kebijakan pencatatan kependudukan secara digital. Hasil penelitian menunjukan bahwa penyelenggaraan Identitas Kependudukan di Kelurahan Warujayeng pada umumnya berlangsung dengan baik, dukungan kepala kelurahan serta para jajaranya dalam pelaksanaan program telah membantu dalam mendapatkan Identitas Kependudukan Digital, namun ada beberapa temuan kendala terkait penyelenggaraan di kelurahan ini. Ada hal yang muncul ke permukaan dan menonjol yaitu pemerintah setempat tidak memeberikan waktu tambahan tertentu dan perlakuan khusus dalam pelayanan program ini seperti misalnya pelayanan jemput bola ke rumah warga dan juga sikap dan kesadaran masyarakat yang kurang akan pentingnya pemahaman program kependudukan digital.
Association Rule Mining To Enhance Sata Bottle Sales
Authors: Slamet Slamet kacung , Rohmah Farah Aqmarinar , Edi Prihartono  
Published: October 2024

Sales of sata bottles are growing and increasing, However, the results of these sales transactions have not been maximally utilized by shop owners. In fact, by using data mining techniques, the collection of data can generate new information. Association rule mining can find interaction patterns between one or more items in a very large data set. This algorithm is widely used in transaction data for purchasing product items at the same time by customers. research objectives to improve sales strategy, by collecting sales patterns that help related parties make sales strategy decisions, recommend products to customers, and maintain product availability. The research method using apriori algorithm data mining system that aims to determine consumer purchasing patterns. The association rule obtained results in 1 product that is often purchased simultaneously, namely Buy Rabbit Bottle, 420ml Clear Bottle, Buy Rabbit Bottle, Glass Straw, and Buy Rabbit Bottle, Nice Glass with a support value of 10% and a confidence of 80% in three frequent itemset and Rabbit Bottle, 420ml Clear Bottle, Rabbit Bottle, Glass Straw, and Nice Glass, 420ml Clear Bottle with a support value of 15% and a confidence of 83% in two frequent itemset.
Atenção à saúde das mulheres em situação de violência sexual: revisão integrativa.
Authors: De Melo Andressa Boza , Gessner Lourenço Rafaela , Bertoglio Comassetto Antunes de Oliveira Vanessa , Novakovski dos Santos Thammy 
Published: October 2024

Objetivo: Identificar na literatura científica como ocorre a atenção à saúde das mulheres em situação de violência sexual. Método: revisão integrativa, realizada nas plataformas Pubmed, Scopus, Cinahl e Psycnet. Os dados foram submetidos à análise de conteúdo temática. Resultados: A amostra final incluiu 17 artigos, publicados entre 2018 e 2023. Da análise emergiram duas categorias empíricas: Desafios enfrentados na assistência à saúde das mulheres em situação de violência sexual e implementação de estratégias inovadoras para o enfrentamento da violência sexual. Conclusão: A assistência à saúde das mulheres em situação de violência sexual enfrenta obstáculos como dificuldades de acesso ao aborto legal, barreiras institucionais, escassez de recursos, atendimento inadequado e insensível ao trauma, levando a uma assistência marcada por julgamentos de valor que desencorajam muitas vítimas a buscar ajuda. Estratégias inovadoras, políticas públicas e protocolos institucionais são fundamentais para atender às necessidades das mulheres, prevenir e responder eficazmente à violência sexual.
Research design and preliminary findings from the EUniWell MASOEE project on teaching skills to disadvantaged cohorts
Authors: Chung Sarah , Cooke Neil , Cottle Daniel 
Published: October 2024

The ERASMUS+ European University of Wellbeing alliance (EUniWell) has seed-funded the project “Maximising Academic and Social Outcomes in Engineering Education” (MASOEE). This initiative explores how to better teach non-technical skills with the aim of ensuring the success of students from disadvantaged backgrounds in their professional lives, making a significant contribution to societal wellbeing. It can be argued that because engineering jobs are relatively well-paid, engineering education might be considered a force for social mobility if universities reduce attainment gaps between marginalised and mainstream cohorts. To this end, we are sharing best practice for professional, business and sustainability skill teaching between the engineering faculties at the Universities of Florence (Italy), Birmingham (UK), and Linnaeus (Sweden), whilst appreciably contrasting how their disadvantaged cohorts are profiled and supported. In this paper we provide an overview of the project and present some preliminary results comparing students self-rated skills levels and engineering identity against an objective measure of disadvantage – the number of parents who attended university. We discuss our research method with emphases on methodological and contextual reflexivity. This enables us to select our procedures and acknowledge the study setting, and to offer readers insights to help them assess its transferability.
Evaluation of a flipped classroom model base on students’ perceptions: An undergraduate engineering module case study
Authors: Cooke Gill , Smith-Ortiz Adriana , Mazurkiewicz Piotr 
Published: October 2024

Flipped classroom approach has become popular due to the potential for creating deep learning experiences using active learning and the use of technology that facilitates the implementation of the approach (Abeysekera and Dawson, 2014). The aim of this research is to assess whether the Flipped Classroom model designed and implemented by the authors is perceived as effective by engineering students on the mandatory second year management module.

The supplemental blended learning model (Twigg, 2003) was used to create a delivery model consisting of lectures, out-of-class activities and ending with flipped classroom seminars. The fortnightly lectures and online learning material underpinned the in-class activity-led seminars which in turn aligned to the assessment. Given the requirements for students to manage their engagement with learning outside of the classroom, self-regulated learning has been considered within the study.

The authors collected the data using two online pre-validated questionnaires (Shih, Liang and Tsai, 2019) via Qualtrics and applied descriptive statistical analysis tools and the Pearson correlation analysis, using SPSS software. Results indicated that students perceived the activity led learning part of the flipped classroom (seminars) as a positive experience and are satisfied with how the experience enhanced their learning. Survey analysis revealed students reported a lack of critical engagement with the online material, inconsistently allocating time to learning nor systematically preparing for the face-to-face activity led learning seminars. There was general agreement the flipped classroom approach required more self-regulated learning skills.
Impact of personal values on learning approaches and academic achievements in UK higher education
Authors: Wakenshaw Susan , Agg Chloe 
Published: October 2024

In the post-Covid era of higher education, blended teaching has become the standard method of instruction. This approach incorporates various modes of delivery, and it is important for students to engage in the diverse form of learning. Considering students’ preferences for learning approaches, especially independent learning, is crucial in the development of blended teaching methods. One of the key factors affecting students’ preferences is personal values, which can influence student’s adoption of learning approaches. This, in turn, affects their engagement in the learning community and their academic performance (Gamage, Dehideniya and Ekanayake, 2021). Personal values vary culturally, and this is particularly relevant when developing blended teaching strategies for cohorts of mixed nationalities. This issue is especially pronounced in the departments and schools across the UK universities, which often have a diverse student body with mixed cultural backgrounds. Our research aims to examine the role of personal values (specifically self-direction values and conformity values) in students’ adoption of independent learning and the impact of these values on their academic achievement in blended teaching context.

Our research was conducted in 2022 through an internship scheme sponsored by WMG. We conducted a Qualtrics survey with the convenient sample of 162 among which 146 from China (including Hong Kong S.A.R.). The results indicated that self-direction values were closely correlated with both independent learning and academic achievement while no significant correlation was found between conformity values and independent learning or between conformity values and academic performance were found. The research results hold considerable importance for educators in design self-directed study for students from varied cultural backgrounds in higher education settings.