bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI KEBIJAKAN PERATURAN MENTERI AGAMA NOMOR 32 TAHUN 2020 TENTANG MA’HAD ALY: ANTARA HARAPAN DAN DILEMA
Authors: Maskuri Maskuri
Published: June 2024

The enactment of Law Number 18 of 2019 concerning Islamic Boarding Schools, followed by Regulation of the Minister of Religion of the Republic of Indonesia Number 32 of 2020 concerning Ma'had Aly, should be a hope for organizers and managers of education in the Islamic boarding school environment. These hopes include funding support and certainty of Ma'had Aly graduates. In addition, there is a legal guarantee for fulfilling the right to obtain employment opportunities and continue studies to the next level of education. Providing guarantees of recognition, affirmation, and facilitation for Islamic boarding schools based on their traditions and characteristics is a sociological and philosophical consideration when forming Islamic boarding school laws. To date, this guarantee has not been fully realized. The hope of Islamic boarding schools is still accompanied by the dilemma of ensuring recognition from the government. The author is interested in uncovering what the managers of Ma'had Aly are worried about, especially after the implementation of PMA Number 32 of 2020 concerning Ma'had Aly. The researcher's focus is to describe the implementation of these regulatory policies. Because it concerns statutory norms, the method used in this research is normative juridical research, namely, literature study research, to examine PMA 32 of 2020. The aim is to describe the implementation of PMA 32 of 2020 for Islamic boarding schools that organize Ma'had Aly, the problems experienced by the management, and how the Ministry of Religion responds to the Islamic boarding school's hesitation in implementing recognition, affirmation and facilitation policies. As a result, there are still problems for the organizers of Ma'had Aly. The external quality assurance system through the community assembly has not shown its productivity. The government, in this case, the Ministry of Religion, needs to be encouraged to have the courage to take strategic policy steps as a concrete form of recognition, affirmation and facilitation of Ma'had Aly implementation policies. Apart from that, the government is also encouraged to form a directorate general of Islamic boarding schools to solve bureaucratic problems in Islamic boarding school services.
MENGUNGKAP BATASAN KAIDAH DAMAIR DALAM QAWA’ID AL-TAFSIR KARYA AL-SABT: SEBUAH KRITIK KONSTRUKTIF
Authors: Aziz Hayatullah Hilmi , Muhsin Ahmad
Published: June 2024

The book Qawa’id al-Tafsir by Al-Sabt is known for presenting the principles of Al-Qur'an interpretation in a systematic, economical, concise, and easily understandable manner. However, the book lacks explanations regarding the indications behind the unconventional use of Damair (pronouns), which causes anxiety among students. This study employs a descriptive-analytical method with a qualitative approach and falls under the category of library research. The results show that although Al-Sabt's book is well-structured, the lack of an in-depth explanation about the unconventional use of Damair leads to dissatisfaction and confusion among readers. It makes readers feel that the Al-Qur'an employs irregular principles without clear reasons. This deficiency underscores the importance of thorough explanations in using interpretative principles to enhance understanding and tranquillity for readers. This study highlights the urgency of explaining Damair's principles and offers a new perspective in the critical analysis of Al-Sabt's work. It contributes to the development of Al-Qur'an interpretation studies by providing insights into the importance of conveying the reasons behind using Damair principles in Al-Qur'an exegesis. These findings are expected to enrich the scholarly discourse on Al-Qur'an interpretation and serve as a reference for researchers and students.
PENGARUH ISLAMIC MARKETING MIX TERHADAP LOYALITAS PELANGGAN MELALUI KEPUASAN PELANGGAN SEBAGAI VARIABEL MEDIASI PADA PELANGGAN MILENIAL SHOPEE
Authors: Mondir Mohamad
Published: June 2024

This study aims to analyze and identify the impact of the Islamic marketing mix on customer loyalty, with customer satisfaction as a mediating variable. This research is a quantitative study with 159 samples of Shoppe millennial Muslim customers. This research uses random sampling and convenience sampling. The findings in this research show that the promotion of products, people, and places significantly affect customer satisfaction. Besides that, process, price, and physical evidence do not considerably affect customer satisfaction. Physical evidence, product, and promotion significantly affect customer loyalty, and variable people, price, place, process, and customer satisfaction do not substantially affect customer loyalty. Thus, it means promotion, physical evidence, price, process, people, product, and place can not be mediated by customer satisfaction on Shopee customer loyalty. This study has practical implications for people with online businesses who want to choose the right marketing strategy for creating customer satisfaction and loyalty in the Millennial era. This study could also be a reference for future researchers who will do Islamic marketing mix research by using the other variables and reset subjects.
Analyzing The Length of Unemployment Among First-Time Job Seekers in Emerging Countries: Case of Turkey
Authors: Keskin Özberk Deniz , Cicerali Didem
Published: June 2024

The aim of this study is to analyze the factors that influence the unemployment duration of individuals entering labor market for the first time and those who have experienced working life before by using the 2020 Household Labor Force Surveys (HLFS) prepared by Turkish Statistical Institute (TURKSTAT). Further, the effects of individual unique factors such as gender, age, marital status, family size and education level on unemployment duration are examined. Empirical results using the Cox Proportional Hazard Model, which is a semi-parametric version of survival analysis, show that the first time job seekers are at risk regardless of genders. Also, family size has no statistically significant impact on unemployment duration, while being married, divorced or widowed has decreasing effect. It takes longer time for women to find a job than men. Another important finding is that as the education level of individuals increases, the duration of their job search increases.
Çalışan Annelerin Ev ve İş Yaşamında Karşılaştığı Sorunlar
Authors: Kırlıoğlu Mehmet , Aydın Asena , Orhan Duygu
Published: June 2024

Bu çalışmanın amacı çalışan anne deneyimini ele almaktır. Çalışma kapsamında çeşitli sorulara cevap aranmıştır: Çalışan kadınlar ev ve iş yaşamı birlikteliğini nasıl değerlendirmektedir? Çalışan kadınlar çocukları ile olan ilişkisini nasıl değerlendirmektedir? Çalışan kadınlar çalışma hayatındaki haklarını nasıl değerlendirmektedir? Çalışma nitel araştırma desenine göre tasarlanmıştır. Çalışma kapsamında deneyimler ön planda olduğundan nitel araştırma desenlerinden fenomenolojik yaklaşım tercih edilmiştir. Bu nedenle de farklı kurumlarda ve mesleklerde çalışan, farklı yaşlara sahip 15 kadın çalışmaya dahil edilmiştir. Çalışan kadınların deneyimleri "çocuk", "annelik yaşantısı" ve "annelik hakları" olmak üzere üç ana tema çerçevesinde sunulmuştur.
Genç Tüketicilerin Mikro Plastik İçeren Ürünlere Yönelik Tutumunun Öncülleri Ve Ardıllarının Modellenmesi
Authors: Toklu İsmail Tamer
Published: June 2024

Plastikler son yıllarda artan kullanımı ile oluşan atıklar nedeniyle doğal çevre ve sağlık için önemli tehdit olmaya başlamıştır. Tüketici ürünlerinde mikroplastiğe rastlanması ile birlikte tüketici davranışlarında oluşturacağı etki araştırmacıların dikkatini çekmiştir. Oluşturulan model ile plastik atıklara yönelik farkındalığın sağlık ve çevre bilinci ile mikro plastik içeren ürünlere yönelik tutumu incelenmiştir. Kolayda örnekleme yöntemi kullanılarak seçilen üniversite öğrencilerinden web tabanlı anket ile toplanan veriler PLS-SEM ile analiz edilmiştir. Elde edilen bulgulara göre plastik atıklara yönelik farkındalık, sağlık bilinci, çevre bilinci ve mikro plastik içeren ürünlere yönelik tutumu etkilemektedir. Farkındalık aynı zamanda sürdürülebilir tüketim niyetini sağlık bilinci ve çevre bilinci aracılığı ile dolaylı yoldan etkilemektedir. Sürdürülebilir tüketim niyeti mikro plastiklerden rahatsız olan tüketicilerin işletmeleri değiştirme niyetini etkilemektedir. Tutum işletmeleri değiştirme niyetini etkilerken sürdürülebilir tüketim niyetini etkilememektedir. Sağlık bilinci ve çevre bilinci sürdürülebilir tüketim niyetini doğrudan etkilerken işletmeleri değiştirme niyetini dolaylı yoldan sürdürülebilir tüketim niyeti ile etkilemektedir.
GÖRME ENGELLİLER OKULLARINDA GÖREV YAPAN FEN BİLİMLERİ ÖĞRETMENLERİ İLE ÖĞRENCİLERİNİN ÖĞRENME ORTAMLARI HAKKINDAKİ GÖRÜŞLERİ
Authors: Tanyeri Abbas , Yılmaz Süleyman
Published: June 2024

Fen eğitimi, çocukların bilimsel düşünme becerilerinin gelişmesine katkıda bulunarak, günlük yaşamda karşılaştıkları sorunlara bilimsel cevap verebilmelerine ve problem çözme becerilerinin gelişmelerine olanak sağlamaktadır. Aynı zamanda fen eğitimi sayesinde öğrenciler günlük yaşama dair deneyim ve becerilerinin artmasında büyük bir rol oynamaktadır. Ancak, ülkemizde özel eğitim kapsamında yer alan görme engelliler için fen eğitimi alanında öğretmen yetiştiren lisans düzeyinde programlar bulunmamaktadır. Görme yetersizliği ilaç, cerrahi operasyon veya gözlük gibi sıradan optik merceklerle düzeltilemeyen belirgin bir görme kaybı şeklinde ifade edilmektedir. Görme yetersizliği olan bireyler genellikle diğer duyularını, özellikle dokunma, işitme ve tatma duyularını kullanarak bilgiye erişmek zorunda kalmaktadırlar. Bu nedenle, eğitim-öğretim sürecinde farklı duyuların ön plana çıkarılmasıyla, görme engelli bireylerin bilimsel bilgiye erişmeleri ve fen eğitimine katılmaları kolaylaştırılmaktadır. Bu çalışmada, görme engelliler okullarında görev yapan fen bilimleri dersi öğretmenlerinin ve öğrencilerinin öğrenme ortamları hakkındaki düşünceleri incelenmiştir. Çalışma yöntemi olarak betimsel tarama yöntemi kullanılmıştır. Çalışmanın evrenini 2017-2018 eğitim öğretim yılında ülke çapında Milli Eğitim Bakanlığına bağlı görme engelliler ortaokullarında görev yapan fen bilimleri öğretmenleri ve görme engelli öğrencileri oluşturmuştur. Veriler "Bu Sınıfta Neler Oluyor?" ölçeği kullanılarak 21 fen bilimleri öğretmeni ve 430 görme engelli öğrencinin katılımı ile toplanmıştır. Çalışmada elde edilen bulgular değerlendirilirken, istatistiksel analizler için SPSS 22.0 İstatistik paket programı kullanılmıştır. Araştırmanın önemli sonuçları arasında, fen bilimleri öğretmenleri ile görme engelli öğrencilerin öğretim ortamına yönelik görüşlerinde istatistiksel olarak anlamlı bir fark göstermediği bulunmaktadır. Ayrıca, fen bilimleri öğretmenlerinin öğretim ortamına yönelik görüşlerinin her bir alt boyutu arasında istatistiksel olarak anlamlı bir ilişki olduğu görülmüştür.
The Effect of Management Support, Team Work, and Monitoring & Evaluation Process on Implementing the Patients Identification
Authors: Agatha Vivian Giovani Agatha Vivian Giovani , Dewi Sandra , Dian Wahyuni
Published: June 2024

Background: One of the efforts to fulfill patient safety targets is identifying patients correctly. Identification carried out incorrectly will have fatal consequences, triggering other errors. An important paradigm for reducing misidentification requires more than two patient identifiers. Objective: The study aims to analyze the influence of management support, team work, monitoring and evaluation process on implementing the patients’ identification among nurses at Wisma Rini Pringsewu Hospital. Method: We conduct the cross-sectional study to examine the causalities of independent variable with dependent variable. Result: Management support has a direct effect on the implementation of patient identification. Management support also has an indirect effect on the implementation of patient identification, through monitoring and evaluation. Meanwhile, monitoring and evaluation can have a direct influence on the implementation of patient identification. Team work influences the implementation of patient identification, but the influence is small, so monitoring and evaluation is needed so that team work works well. Meanwhile, team work is formed due to the contribution of management support. Implication: Create monitoring and evaluation policies related to the implementation of quality improvement and patient safety activities
Assessing Household Awareness of Indoor Air Pollution in Cagayan de Oro City: Implications for Health Promotion
Authors: Araune Paolo , Vera Glenda De , Agudong Shane Stiffany , Abarquez Joea Carmel , Apag Hannah Catherine , Basalo Paul Kenneth , Batayola Alyana Kyle , Co Janet , Daanoy Mary Ann , Dante John Ray , Ebale Nicolle , Estonilo Cindy Mae , Fabela Stephen Christian , Fullo Justine Joy
Published: June 2024

Background & Aim: Indoor air pollution is a significant health threat, yet public awareness remains low, particularly in regions like the Philippines. This study assessed household awareness of indoor air pollution sources in a barangay in Cagayan de Oro City. Using the Health Promotion Model by Nola Pender and the Environmental Theory by Florence Nightingale, it sought to understand factors influencing awareness and inform health programs addressing indoor air pollution in the community. Methods & Materials: This study used a descriptive correlational design to explore how demographic factors influence awareness of indoor air pollution sources in a barangay in Cagayan De Oro City. Surveys, translated into the local language and validated through pilot testing, were administered to 264 randomly selected respondents. Statistical analyses, including T-tests and ANOVA, were conducted to assess associations between demographic variables and awareness levels. Results: Significant differences were observed in respondents' awareness levels of indoor air pollution sources across age groups, with middle-aged individuals demonstrating the highest awareness. Females exhibited consistently higher awareness compared to males across all pollution sources. Educational attainment influenced awareness levels, with postgraduates showing the highest awareness. Conclusion: The study revealed significant correlations between demographic factors and respondents' awareness of indoor air pollution sources. Age, gender, and educational attainment influence awareness levels, motivating individuals to prioritize proper ventilation for health preservation. Recommendation: Clinical practitioners should prioritize health education programs targeting middle-aged individuals, females, and those with higher educational attainment levels in addressing indoor air pollution awareness, emphasizing the importance of proper ventilation practices for health preservation and promoting healthier indoor environments in communities
Pelanggaran Hukum Humaniter Internasional dalam Agresi Militer Israel ke Gaza Pasca-Serangan Hamas 7 Oktober 2023
Authors: Al Farauqi Mohamad Dziqie Aulia , Mariana Mariana
Published: June 2024

Serangan Israel ke Palestina jalur Gaza menuai reaksi internasional karena banyaknya  korban dari warga sipil yang disebabkan serangan tersebut. Artikel ini bertujuan untuk mengindentifikasi pelanggaran Hukum Humaniter Internasional yang dilakukan Israel di Gaza pasca 7 Oktober 2023. Metode penelitian yang digunakan adalah metode penelitian hukum normatif dengan menggunakan pendekatan kasus untuk mengetahui kesesuaian hukum dengan fakta-fakta dalam kasus itu. Temuan artikel ini adalah Israel telah melakukan pelanggaran Hukum Humaniter Internasional, antara lain pelanggaran terhadap warga sipil dan objek sipil, anak-anak, tenaga medis, jurnalis, serta menghalangi masuknya bantuan kemanusiaan.
Gerakan Julid Fisabilillah
Authors: Santi Selvia
Published: June 2024

Agresi militer Israel ke Jalur Gaza yang dimulai pada 7 Oktober 2023 telah menjadi salah satu isu terpenting di dunia berkat peranan media sosial yang secara masif menyebarluaskan kejadian di lapangan dan melawan narasi media mainstream yang cenderung pro-Israel. Media sosial telah digunakan secara aktif oleh warga internet di seluruh dunia untuk membela Palestina. Di Indonesia, muncul gerakan di media sosial bernama “Julid Fisabilillah” yang melawan warga internet pro-Israel. Artikel ini akan menganalisis gerakan ini dengan menggunakan teori Gerakan Sosial Baru. Temuan dalam artikel ini adalah bahwa gerakan Julid Fisabilillah merupakan gerakan massa yang dikoordinasi untuk mengangkat isu sosial global berdasarkan nilai kemanusiaan dan keagamaan untuk melakukan perlawanan terhadap penindasan Israel terhadap bangsa Palestina.
Dua Muka Ancaman:
Authors: Alam Teduh Gentar
Published: June 2024

Foreign terrorist fighters (FTF) merupakan ancaman keamanan yang kini menjadi perhatian banyak negara, terutama setelah perkembangan ISIS dalam konflik Suriah. Terorisme menjadi taktik kekerasan para FTF bersama organisasi mereka untuk mengutarakan dan mencapai aspirasi dan agenda politik mereka. Penelitian ini menggunakan pendekatan keamanan manusia (human security) untuk menjelaskan fenomena FTF. Konsep terorisme dan FTF juga dijelaskan untuk melengkapi analisis. Penelitian ini menggunakan metode kualitatif dengan melakukan wawancara mendalam kepada sejumlah narasumber eks-FTF. Temuan penelitian ini adalah ketika para FTF menjadi ancaman bagi keamanan manusia di luar kelompok mereka, di saat yang sama mereka pun merasakan adanya ancaman keamanan bagi diri, pemikiran, dan komunitas mereka. Oleh karena itu, upaya kontraterorisme Indonesia perlu menggunakan pendekatan keamanan manusia dan mengatasi ancaman-ancaman keamanan manusia yang dirasakan oleh para FTF maupun calon FTF.
Türkiye-Israel Relations with the Justice and Development Party (AKP), under the Shadow of Hamas
Authors: Erdurmaz Ali Serdar , Bagci Huseyin
Published: June 2024

Turkish-Israeli relations during the AKP era have been tumultuous, shaped by ideological disparities, internal politics, and regional shifts. Despite these hurdles, both nations have maintained pragmatic cooperation, notably in trade, energy, and security domains. This study delves into the evolution of Turkish-Israeli ties, analysing key factors influencing their dynamics. It explores how cooperation persists amid ideological rifts and assesses the impact of recent normalisation efforts and ongoing tensions. Employing a conceptual and chronological approach, the research unveils a pattern of alternating between strategic collaboration and strained relations. The Mavi Marmara raid, a significant event in the history of Turkish-Israeli relations, marked a point of severe strain. However, economic exchanges have thrived, and recent attempts at normalisation offer hope despite the challenges that remain, notably Turkiye's support for Hamas and divergent regional policies. Meanwhile, various factors have shaped the relationship between Turkiye and Hamas over the past two decades. Key influences include the Palestinian issue, ideological alignments and tensions, regional dynamics, and, notably, the significant impact of individual leaders, such as President Erdoğan. Turkiye's engagement with Hamas has evolved from facilitating dialogue to providing political and financial support, especially following Hamas's electoral victory in 2006. Despite occasional tensions, Turkiye sees Hamas as a legitimate representative of the Palestinian people and supports it as part of its broader strategy to challenge the status quo in the Middle East. However, Turkiye's support for Hamas has strained its relations with Israel and raised concerns among Western allies, highlighting the complexities of Turkiye's role in the Israeli-Palestinian conflict. This article will evaluate Turkish-Israel relations within the new approach toward the Hamas.
Editorial: School and Family – Collaboration, Partnership, Engagement
Authors: Pusztai Gabriella , Błasiak Anna , Dybowska Ewa
Published: June 2024

School and family cooperation is not a new topic, it is constantly present in the discourse on education, which in the 21st century is seen as one of the conditions for the success of societies. It is observed and experienced that there is a large gap between theory and practice in the field of cooperation, so there is a need for these issues to be constantly addressed by theoreticians and practitioners, in order to develop new solutions adequate to the specifics of the times in which we have come to function. Family and school are two important environments for development and upbringing. The educational success of children and young people largely depends on them. The school, in order to fulfill its tasks, must co-create with parents a school climate that will foster the integral development of students, but also enable the development of adults. Cooperation is a process that relies on human potential, and its quality and results will depend on these people. The authors of the various articles published in issue 66 of Horizons of Education convince us that cooperation should be always oriented towards the good of the student, be based on partnership, trust, dialogue, mutual concern, commitment that increases the sense of responsibility, the pursuit of the same goals and values.
School‑Friendly Parents? Characteristics of Parents’ Involvement in Vocational Schools in Hungary
Authors: Rusznák Anett , Pusztai Gabriella
Published: June 2024

RESEARCH OBJECTIVE: Our goal is to examine parental involvement in schools with higher dropout rates, lower dropout rates and disadvantaged family backgrounds.
THE RESEARCH PROBLEM AND METHODS: In our study, we focus on vocational schools that do not offer a baccalaureate (matura) degree as well as vocational schools that do offer a baccalaureate (matura) degree. In the present study, we used data from a large sample database in Hungary.
THE PROCESS OF ARGUMENTATION: . A number of international studies have examined the importance of parental involvement, especially for pre‑school children and primary school students. Few studies have focussed on parental involvement in secondary education, especially in Hungary where it has only recently become a focus of educational research, but the relationship between secondary education and parental involvement has only been partially investigated.
RESEARCH RESULTS: Our results show that we need to pay more attention to these two types of schools.
CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: Based on our questions on parents’ involvement in school, we obtained several significant results. Of the barriers we investigated, we found one to be relevant. Our study is exploratory in nature and aims to gather data and information on parents of VET students. Our objective was to obtain results relevant to VET.
The Pros and Cons of Preschool and Early School Teachers’ Collaboration With Parents in the Light of Their Experiences
Authors: Zubrzycka-Maciąg Teresa
Published: June 2024

RESEARCH OBJECTIVE: The objective of the research was to demonstrate the nature of collaboration of preschool and early school teachers with parents, based on the teachers’ experiences.
THE RESEARCH PROBLEM AND METHODS: The research sought answers to questions concerning the positive and negative aspects of working with parents of teachers of the youngest children and the significance of these experiences for the functioning of the respondents in their profession. The diagnostic survey was used as the research method, and the research tool consisted of a proprietary survey questionnaire.
THE PROCESS OF ARGUMENTATION: Today the parents are increasingly willing to influence the work of the teachers, which undermines the teachers’ autonomy, and leads to numerous conflicts. Teachers of children entering education are in a peculiar situation, due to the specific nature of their collaboration with parents. Determining the causes of difficulties in mutual relations may constitute the basis for implementing corrective actions in this area.
RESEARCH RESULTS: The surveyed teachers appreciate the involvement of parents, but they also require acceptance and appreciation from their side. When faced with comments or claims, they experience stress, which they try to alleviate through maladaptive coping styles. This, in turn, makes them indifferent and discouraged, and even triggers thoughts of leaving their careers.
CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: In order to improve the quality of collaboration with parents, teachers need to work on their assertiveness, which will improve their self‑esteem and autonomy and allow them to build constructive interpersonal relationships. Universities preparing candidates for this profession and vocational training centers should support teachers in developing the personality dispositions that are required in their work.
Relacja rodzina–szkoła w kontekście pedagogiki towarzyszenia
Authors: Dybowska Ewa
Published: June 2024

CEL NAUKOWY: Celem podjętych analiz jest wskazanie pedagogiki towarzyszenia jako kontekstu dla relacji rodziny i szkoły.
PROBLEM I METODY BADAWCZE: Podjęty problem badawczy: W jaki sposób pedagogika towarzyszenia może stanowić tło dla relacji rodziców i nauczycieli? W refleksji zastosowano krytyczną analizę literatury naukowej oraz dokonano przeglądu wyników dotychczasowych badań.
PROCES WYWODU: Dokonano przeglądu i analizy wybranych stanowisk koncentrujących się wokół relacji rodzina–szkoła. Szczególny akcent położono na model Joyce L. Epstein. Przedstawiono ogólną charakterystykę pedagogiki towarzyszenia/ignacjańskiej, która ma swoje źródła w tradycji edukacyjnej prowadzonej przez Towarzystwo Jezusowe. Podjęto refleksję ukierunkowaną na praktykę edukacyjną dotyczącą możliwości wykorzystania elementów tradycji ignacjańskiej w budowaniu partnerstwa edukacyjnego rodziców i nauczycieli.
WYNIKI ANALIZY NAUKOWEJ: W wyniku podjętych analiz ustalono, że najbardziej optymalnym rozwiązaniem dla relacji rodzina–szkoła jest partnerstwo edukacyjne, które w centrum podejmowanych aktywności stawia dziecko/ucznia i jego potrzeby, w czym pomocna może być perspektywa pedagogiki towarzyszenia/ignacjańskiej.
WNIOSKI, REKOMENDACJE I APLIKACYJNE ZNACZENIE WPŁYWU BADAŃ: Pedagogika towarzyszenia/ignacjańska jest mało znaną koncepcją pedagogiczną. Jej popularyzacja pozwala na rozszerzenie edukacyjnego myślenia i praktyki edukacyjnej. Poszerza możliwości wyboru dla podmiotów edukacyjnych własnego, indywidualnego podejścia do partnerstwa i współpracy dostosowanej do możliwości dziecka/ucznia oraz rodziców i nauczycieli. Jest to nurt myślenia, który dorosłego stawia w pozycji niedyrektywnej, towarzyszenia, raczej jako „niewidzialnego”, co może dać inną jakość relacji rodzice–nauczyciele.
The Career of Students who Use a Different Language at Home and at School
Authors: Vincze Zsófia
Published: June 2024

RESEARCH OBJECTIVE: The objective of the research is to understand how the ethnic composition of the family and the choice of the language of the school are related.
THE RESEARCH PROBLEMS AND METHODS: Minorities are often the subject of research, and within, bilingualism, language use arenas and state language education are prominent topics, how‑ ever, the issue of ethnic minority students studying in majority institutions is relatively unexplored.
THE PROCESS OF ARGUMENTATION: Our research is focused on the ethnic Hungarian minority in Romania, their decisions and their experiences of education in the majority language. The present qualitative research was carried out in a semi‑structured interview format in November 2023 with 14 respondents, reached by snowball method.
RESEARCH RESULTS: Our results show that, in addition to proximity to the institution and the increased possibility of doing well in the country, the school experience of parents and older children are factors behind the decision made by parents. Nevertheless, we also find that extended family, even the third generation, has an impact on school choice.
CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: The research presents a perspective that focuses on the educational results of respondents most of whom proved to be successful in their respective fields. The results we found confirm hypotheses from the literature regarding the language choices of different nationalities. The research is a part of a larger project which aims at the exploration the research upon the students attending non‑native language schools.
The Family as a Place of Experiencing Critical Events – Case Study
Authors: Krawczyk-Bocian Amelia
Published: June 2024

RESEARCH OBJECTIVE: The main aim is to show the narrative of a woman who experienced critical events in her personal life.
THE RESEARCH PROBLEMS AND METHODS: 1. How does the narrator describe critical events based on her family experience? 2. What meaning does she ascribe to the events experienced in retrospect? The presented research is situated in the interpretative research tradition. A descriptive‑theoretical type of case study was used. Empirical data was collected using Fritz Schütze’s narrative interview technique.
THE PROCESS OF ARGUMENTATION: The interview began by presenting the narrator’s life story from her childhood to the present day. Attention was paid to her understanding of herself and her life, her relationship with her parents, and critical events that occurred in her family. The empirical material was then interpreted based on Schütze’s process structures, which revealed her current life course, critical events in the family and landmark events in the narrator’s individual biography.
RESEARCH RESULTS: The interpretation of the empirical material showed the narrator in the process of change, internal metamorphoses. It revealed poor intra‑family relations, which became the cause of illness, lack of self‑acceptance, and depressive and anxious states. The therapy that she underwent, satisfying professional work and mutual feelings of love allowed the narrator to overcome her limitations, weaknesses and take a critical look at the family relationships that were the cause of her pain and suffering.
CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: The narrative presented in the paper can become a stimulus for change in people who are currently struggling with family problems, illness or suffering: all those people who experience anxiety and loneliness in the space of family life.
From Seeing to Understanding: The Conceptual Metaphor UNDERSTANDING IS LIGHT in Julian of Norwich’s “Revelations of Divine Love”
Authors: Stadnik Katarzyna
Published: June 2024

RESEARCH OBJECTIVE: The article discusses the interplay between language, cognition and culture from a cognitive diachronic perspective, focusing on the relation between religion and metaphorical thought. It investigates the role of the conceptual metaphor UNDERSTANDING IS LIGHT in religious discourse, using the example of The Revelations of Divine Love, written by Julian of Norwich, a late medieval anchoress.
THE RESEARCH PROBLEM AND METODS: The paper draws on the Extended Conceptual Metaphor approach, Zoltán Kövecses’s elaboration of the Conceptual Metaphor Theory (CMT). The universalist bias of CMT means that the theory tends to ignore the sociocultural context of historical data, prioritising the influence of universal human embodiment on metaphorical thought. Using Kövecses’s approach, the paper shows how the gap in CMT methodology may be bridged to yield more reliable results.
THE PROCESS OF ARGUMENTATION: The present study connects Kövecses’s approach to Cognitive Linguistic research into sociocultural situatedness. To exemplify the problem, the analysis examines the cognitive‑cultural underpinnings of Julian’s use of the metaphor UNDERSTAND‑ ING IS LIGHT.
RESEARCH RESULTS: The analysis shows that the metaphorical conceptualisation pattern may well derive from Julian’s sociocultural situatedness. The paper indicates that the anchoress’s metaphorical thought should be seen as embedded in the late medieval sociocultural context, rather than being considered solely in terms of universal aspects of embodiment.
CONCLUSIONS, RECOMMENDATIONS AND THE APPLICATIVE VALUE OF RESEARCH: The study concludes that the idea of sociocultural situatedness may be pivotal in the analyses of historical texts. It seems important to incorporate this idea into Kövecses’s approach, which may inform the methodology of cognitive diachronic research into metaphorical conceptualisations. Furthermore, the results may be applied to teaching students how to approach historical texts, helping them gain a better understanding of the relation between metaphorical thought and culture.
THE UTILIZATION OF 6G IN INDUSTRY 4.0
Authors: M. SHUKUR Hanan , ASKAR Shavan , R.M. ZEEBAREE Subhi
Published: June 2024

The sixth-generation (6G) communication technology has potential in various applications, for instance, industrial automation, intelligent transportation, healthcare systems, and energy consumption prediction. On the other hand, the concerns of privacy measures and security measures in 6G-enabled networks are considered critical issues and challenges. The integration of 6G with advanced technologies for example computing, Artificial Intelligence (AI), and Internet of Things (IoT) is a common theme in this paper. Additionally, the paper discusses the challenges and advancements required for 6G technology to be utilized with other technologies, involving edge technology, big data analytics, and deep learning. In this review paper, the authors overview the integration of 6G with cutting-edge technologies like IoT, IoMT, AI, and edge computing that address human requirements and issues. In addition, to make values for new technologies like Big data, federated learning machine learning, deep learning, and multiple aspects are merged collectively to offer a network for the machine and human growing era. These integrations can be utilized for monitoring energy consumption in real-time, intelligent transportation solutions, improved security in industrial applications, signal reconstruction, and industrial automation. Additionally, the authors illustrate the critical considerations and challenges that face the integration of 6G for instance, performance requirements, security, and privacy concerns. Overall, this paper suggests that 6G communication technology can revolutionize different sides of our society, and enhance efficiency and accuracy in various future industrial automation and sectors.
APPLICATION OF EEMD-DFA ALGORITHMS AND ANN CLASSIFICATION FOR DETECTION OF KNEE OSTEOARTHRITIS USING VIBROARTHROGRAPHY
Authors: MACHROWSKA Anna , KARPIŃSKI Robert , MACIEJEWSKI Marcin , JONAK Józef , KRAKOWSKI Przemysław
Published: June 2024

Osteoarthritis is one of the leading causes of disability around the globe. Up to this date there is no definite cure for cartilage lesions. Only fast and accurate diagnosis enables prolonging joint survivor time. Available diagnostic methods have disadvantages such as high price, radiation, need for experienced radiologists or low availability in some regions. The present study evaluates the use of vibroarthorgraphy as a method of cartilage lesion detection. 47 patients with diagnosed cartilage lesions, and 51 healthy control group patients have been enrolled in this study. The cartilage in the study group was evaluated intraoperatively by experienced orthopaedic surgeon. Signal acquisition was performed in open and closed kinematic chain based on 10 knee joint movements from 0-90 degrees. By using EEMD-DFA algorithms, reducing classifier inputs using ANOVA and then classifying using artificial neural networks (ANN), a classification accuracy of almost 93% was achieved. A sensitivity of 0.93 and a specificity of 0.93 with an AUC of 0.942 were obtained for the multilayer perceptron network. These results allow to apply this testing protocol in a clinical setting in the future.
PREDICTING STATES OF EPILEPSY PATIENTS USING DEEP LEARNING MODELS
Authors: SIDAOUI Boutkhil
Published: June 2024

In this study, the authors present and scrutinize two deep learning models designed for predicting the states of epilepsy patients by utilizing extracted data from their brain's electrical activities recorded in electroencephalography (EEG) signals. The proposed models leverage deep learning networks, with the first being a recurrent neural network known as Long Short-Term Memory (LSTM), and the second a non-recurrent network in the form of a Deep Feedforward Network (DFN) architecture. To construct and execute the DFN and LSTM architectures, the authors rely on 22 characteristics extracted from diverse EEG signals, forming a comprehensive dataset from five patients. The primary goal is to forecast impending epilepsy seizures and categorize three distinct states of brain activity in epilepsy patients. The models put forward yield promising results, particularly in terms of classification rates, across various preceding seizure timeframes ranging from 5 to 50 minutes.
AN AUTHENTICATION METHOD BASED ON A DIOPHANTINE MODEL OF THE COIN BAG PROBLEM
Authors: NIEMIEC Krzysztof , BOCEWICZ Grzegorz
Published: June 2024

The article presents the so-called coin bag problem, which is modeled by linear Diophantine equations. The problem in question involves assessing the contents of a set of coins based on its weight. Since this type of problem is undecidable, a special variant of the problem was proposed for which effective problem-solving algorithms can be developed. In this paper, an original heuristic is presented (an algorithm based on problem decomposition) which allows to solve the coin bag problem in fewer steps compared to a brute force algorithm. The proposed approach was verified in a series of computational experiments. Additionally, an authentication scheme making use of the approach was proposed as an example of potential practical use.
PREDICTION OF PATIENT’S WILLINGNESS FOR TREATMENT OF MENTAL ILLNESS USING MACHINE LEARNING APPROACHES
Authors: YOUNIS Mohammed Chachan
Published: June 2024

Mental illness is a physical condition that significantly changes a person’s thoughts, emotions, and capacity to interact with others. The purpose of this study was to explore the application of Artificial Intelligence (AI) and Machine Learning (ML) algorithms in predicting behaviour regarding seeking treatment for mental illnesses, to support healthcare providers in reaching out to and supporting individuals more likely to seek treatment, leading to early detection, enhanced outcomes. The Open Sourcing Mental Illness (OSMI) dataset contains 1259 samples used for research and experiment. The study uses several classifiers (Random Forest, Gradient Boosting, SVM, KNN, and Logistic Regression) to take advantage on their unique capabilities and applicability for various parts of the prediction task. Experiments performed in Jupiter notebook and the major findings revealed varying levels of accuracy among the classifiers, with the Random Forest and 0.81 and Gradient Boosting classifiers 0.83 achieving highest accuracy, while the accuracy for SVM 0.82 and KNN 0.83 also give good result but Logistic Regression classifier had a lower accuracy 0.8. In conclusion, this research demonstrates the potential of AI and machine learning in predicting individual behaviour and offers valuable insights into mental health treatment-seeking behaviour.
AUTOMATION OF POLYCYSTIC OVARY SYNDROME DIAGNOSTICS THROUGH MACHINE LEARNING ALGORITHMS IN ULTRASOUND IMAGING
Authors: GALAGAN Roman , ANDREIEV Serhiy , STELMAKH Nataliia , RAFALSKA Yaroslava , MOMOT Andrii
Published: June 2024

This article presents a study aimed at using machine learning to automate the analysis of ultrasound images in the diagnosis of polycystic ovary syndrome (PCOS). Today, various laboratory and instrumental methods are used to diagnose PCOS, including the analysis of ultrasound images performed by medical professionals. The peculiarity of such analysis is that it requires high qualification of medical professionals and can be subjective. The aim of this work is to develop a software module based on convolutional neural networks (CNN), which will improve the accuracy and objectivity of diagnosing polycystic disease as one of the clinical manifestations of PCOS. By using CNNs, which have proven to be effective in image processing and classification, it becomes possible to automate the analysis process and reduce the influence of the human factor on the diagnosis result. The article describes a machine learning model based on CNN architecture, which was proposed by the authors for analyzing ultrasound images in order to determine polycystic disease. In addition, the article emphasizes the importance of the interpretability of the CNN model. For this purpose, the Gradient-weighted Class Activation Mapping (Grad-CAM) visualization method was used, which allows to identify the image areas that most affect the model's decision and provides clear explanations for each individual prediction.
AN ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM WITH A BOUND ADJUSTMENT STRATEGY FOR SOLVING NONLINEAR PARAMETER IDENTIFICATION PROBLEMS
Authors: Wongsa Watchara , Puphasuk Pikul , Wetweerapong Jeerayut
Published: June 2024

Real-world parameter identification problems require determining the bounds that cover the unknown solutions. This paper presents an adaptive differential evolution algorithm with a bound adjustment strategy (ADEBAS) for solving nonlinear parameter identification problems. The adjustment strategy detects the parameter-bound violations of mutant vectors during the evolution process and gradually extends the bounds. The algorithm adaptively uses two mutation strategies and two ranges of crossover rate to balance the population diversity and convergence speed. Experimental results show that ADEBAS can solve 24 nonlinear regression tasks from the National Institute of Standards and Technology benchmark with accurate estimation and reliability. It also outperforms the compared methods on real-world parameter identification problems.
EVALUATION OF ENGINEERING SOLUTIONS IN THE DEVELOPMENT OF THE PROCUREMENT SECTION FOR THE METAL CONSTRUCTION WORKSHOP
Authors: Palchevskyi Bogdan , Krestyanpol Lubov
Published: June 2024

Modern complex production requires approaches to improving production systems that create a comprehensive understanding of process-equipment-product interactions along the technological process chain, rather than focusing solely on individual processes. Any production system consists of separate but interconnected elements arranged in a certain sequence: reserve, workstation, operation workstation, working process. This document proposes an approach to support and improve the production system using these elements and establishing connections between them and their parameters. This allows process models of various complexities to be constructed, laying the groundwork for improving the production system. The article discusses the process of building a simulation model of a production system – a machining department for manufacturing semi-finished products from metal rods. In the model, each element of the production system is graphically represented, allowing the use of a flowchart for simulation modeling. The purpose of developing the simulation model is to optimize the operation of the machining department by identifying those workstations in the technological process where the longest idle time is observed during operations and optimizing the structure of the department. Additionally, this approach has been tested and implemented based on the scenario of using the simulation model in mechanical engineering production.
IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM
Authors: Ismael Omar Mohammed , Qasim Omar Saber , Algamal Zakariya Yahya
Published: June 2024

Numerous real-world problems have been addressed using support vector regression, particularly v-support vector regression (v-SVR), but some parameters need to be manually changed. Furthermore, v-SVR does not support feature selection. Techniques inspired from nature were used to identify features and hyperparameter estimation. The quasi-oppositional Harris hawks optimization method (QOBL-HHOA) is introduced in this research to embedding the feature selection and optimize the hyper-parameter of the v-SVR at a same time. Results from experiments performed using four datasets. It has been demonstrated that, in terms of prediction, the number of features that may be chosen, and execution time, the suggested algorithm performs better than cross-validation and grid search methods. When compared to other nature-inspired algorithms, the experimental results of the QOBL-HHOA show its efficacy in improving prediction accuracy and processing time. It demonstrates QOBL-ability as well. By searching for the optimal hyper-parameter values, HHOAs can locate the features that are most helpful for prediction tasks. As a result, the QOBL-HHOA algorithm may be more appropriate than other algorithms for identifying the data link between the features of the input and the desired variable. Whereas, the numerical results showed superiority this method on these methods, for example, mean square error of QOBL-HHOA method results (2.05E-07) with influenza neuraminidase data set was the better than the others. For making predictions in other real-world situations, this is incredibly helpful.
METHODS OF INTELLIGENT DATA ANALYSIS USING NEURAL NETWORKS IN DIAGNOSIS
Authors: Lyfar Volodymyr , Lyfar Olena , Zynchenko Volodymyr
Published: June 2024

The considered methods make it possible to develop the structure of diagnostic systems based on neural networks and implement decision support systems in classification diagnostic problems. The study uses general special methods of data mining and the principles of constructing an artificial intelligence system based on neural networks. The problems that arise when filling knowledge bases and training neural networks are highlighted. Methods for developing models of intelligent data processing for diagnostic purposes based on neural networks are proposed. The authors developed and verified an activation function for intermediate neural levels, which allows the use of weighting coefficients as probabilities of diagnostic processes and avoids the problem of local minima when using gradient descent methods. The authors identified special problems that may arise during the practical implementation of a decision support system and the development of knowledge bases. An original activation function for intermediate layers is proposed, obtained based on the modernization of the Gaussian error function. The experience of using the considered methods and models allows us to implement artificial intelligence diagnostic systems in various classification problems.
A REVIEW OF GENERATIVE ADVERSARIAL NETWORKS FOR SECURITY APPLICATIONS
Authors: Rayavarapu Swarajya Madhuri , Tammineni Shanmukha Prasanthi , Gottapu Sasibhushana Rao , Singam Aruna
Published: June 2024

Advances in cybersecurity are crucial for a country's economic and national security. As data transmission and storage exponentially increase, new threat detection and mitigation techniques are urgently needed. Cybersecurity has become an absolute necessity, with the ever-increasing transmitted networks from day to day causing exponential growth of data that is being stored on servers. In order to thwart sophisticated attacks in the future, it will be necessary to regularly update threat detection and data preservation techniques. Generative adversarial networks (GANs) are a class of unsupervised machine learning models that can generate synthetic data. GANs are gaining importance in AI-based cybersecurity systems for applications such as intrusion detection, steganography, cryptography, and anomaly detection. This paper provides a comprehensive review of research on applying GANs for cybersecurity, including an analysis of popular cybersecurity datasets and GAN model architectures used in these studies.