bluuebunny/crossref_metadata_2025 huggingface dataset:
Pembinaan Ekonomi GMIT Jemaat Bet’el Maulafa dan Jemaat Bethani Naet
Authors: Seu Windynia
Published: January 2025

The coaching of congregation is one of the church's tasks. The task of the church is to empower the congregation so that the congregation is more empowered to be able to meet their needs, both physical and spiritual. For this reason, this research was conducted to examine congregational empowerment at GMIT Berthany Naet Congregation and GMIT Bethel Maulafa Congregation. The research method used was descriptive qualitative and research information was obtained through Focus Group Discussion (FGD). From the results of the study, the economic empowerment of congregations at GMIT Bethany Na'et Congregation and GMIT Bethel Maulafa Congregation has an impact on the congregation's economy. Apart from having an impact on the congregation's economy, the economic empowerment of congregations at GMIT Bethel Maulafa Congregation and GMIT Naet Congregation also has an impact on agrotourism and congregation education. The empowerment of GMIT Bethel Maulafa Congregation and GMIT Congregation Na'et is driven by the church and funded from the congregation's treasury which is managed by the church.
Kasih Kristus Mengilhami Sikap Sosialisme Masa Kini
Authors: Manuahe Yani Mick R. , Manua Englin R. , Selanno Semuel , Thomas Art Semuel , Dendeng Leonardo C.
Published: January 2025

This article explores how the love of Christ, as taught in the New Testament, inspired socialist attitudes and its relevance in the contemporary social and economic context. Although the term socialism is not explicitly mentioned in the Bible, the essence of socialist values ​​such as togetherness, social justice, and equal distribution of prosperity is found in the teachings of Jesus Christ. The research method used is descriptive qualitative with a constructive theological approach. This article analyzes key New Testament texts to identify the practical implementation of these teachings in modern society. Christ's universal and inclusive love, as reflected in various Bible passages, teaches togetherness, sharing, special attention to the poor and oppressed, and opposition to economic injustice. By internalizing and applying the teachings of Christ's love, Christian communities can function as significant agents of change in efforts to create a more just and prosperous society.
Kehadiran dalam Ibadah: Kajian terhadap Doa Pribadi dan Baca Alkitab Generasi Milenial dan Gen Z Berdasarkan Ibrani 10:25
Authors: Sompotan Dale Dompas , Hutagalung Stimson Bernard
Published: January 2025

This study conducts a comprehensive exploration of strategies aimed at elevating participation in worship, with a specific focus on the practices of personal prayer and reflection, especially within the Millennial and Gen Z demographics. The research methodology employs a rigorous exploratory analysis of biblical texts, particularly delving into Hebrews 10:25, and its practical application in the contexts of everyday life. Utilizing qualitative methods and a thorough literature review, this research meticulously gathers data through an in-depth analysis of various literary sources, including the Bible. The unequivocal findings of this research assert that personal prayer practices not only serve as catalysts but also constitute the core of heightened attendance in worship. Personal prayer imparts a deeper and more intimate spiritual dimension, harmonizing with the fundamental values encapsulated in Hebrews 10:25, emphasizing the significance of fellowship and active engagement in communal worship. Moreover, the study delineates the dynamic interplay of cultural and social shifts that shape the perspectives of the Millennial and Gen Z generations regarding spirituality and worship. The theological implications derived from these findings provide profound insights into the needs and challenges encountered by the younger generation in fortifying their spiritual connections in the modern era.
Izopropylowany fosforan(V) trifenylu – frakcja wdychalna. Dokumentacja proponowanych wartości dopuszczalnych wielkości narażenia zawodowego
Authors:   Anna Broda, Konieczko Katarzyna
Published: January 2025

Izopropylowany fosforan(V) trifenylu (IPTPP) jest bezbarwną, bezwonną, lepką cieczą, nierozpuszczalną w wodzie, o bardzo małej prężności par. Jest to substancja o zmiennym składzie, składa się z kongenerów i izomerów fosforanu(V) trifenylu zawierających od 0 do 3 grup izopropylowych w każdym z 3 pierścieni fenylowych, w tym także zawiera niepodstawiony fosforan(V) trifenylu (TPP). IPTPP należy do grupy substancji opóźniających zapłon o strukturze estrów fosforoorganicz-nych (Organic Phosphorous Flame Retardants, OPFRs), jest również stosowany jako plastyfikator oraz środek smarujący. Izopropylowany fosforan(V) trifenylu jest produkowany w Polsce, ale nie miał dotychczas ustalonej wartości NDS. IPTPP należy do grupy fosforanów organicznych, zmniejsza aktywność acetylocholinoesterazy oraz butyrylocholinoesterazy, w zależności od składu może powodować opóźnioną neuropatię, jednak opisano jedynie nieliczne przypadki takiego działania. Z badań na zwierzętach wynika, że skutkiem krytycznym działania IPTPP są zmiany w nadnerczach, jajnikach i wątrobie. Zmiany w nadnerczach (powiększenie nadnerczy, złogi tłuszczowe w korze nadnerczy) i w jajnikach (przerost komórek śródmiąższowych) obserwowano u samic szczurów w 90-dniowym eksperymencie inhalacyjnym już przy najmniejszym zastosowanym stężeniu, które przyjęto za wartość LOAEC (10 mg/m3). Zaproponowano przyjęcie wartości NDS dla frakcji wdychalnej na poziomie 1,25 mg/m3. Ze względu na brak działania drażniącego IPTPP nie ustalono wartości NDSCh. Dostępne dane są niewystarczające do ustalenia wartości DSB.
A Study of the Development of Digital Currencies and Influencing Factors Based on BP Neural Networks
Authors: Zhang Shulin , Zhao Kaiyang , Wang Shuke
Published: January 2025

Digital currencies, as a novel form of payment, have had a substantial influence on the banking sector, cross-border transactions, and the global monetary system. This study primarily examines the progress of digital money by focusing on traditional cryptocurrencies and central bank digital currency. The study focuses on analyzing the factors that influence the price of bitcoin. The price of bitcoin is considered the dependent variable, while the Consumer Price Index (CPI), exchange rate, and stock index are chosen as the independent variables representing the domestic, international, and capital market perspectives, respectively. The panel data from China, the United States, and Japan for the years 2020-2024 are used as the research samples. These samples are then quantitatively analyzed using a multivariate linear regression model. Furthermore, the future trajectory and instability of bitcoin in the United States are forecasted using a bp neural network. The findings indicate that the Consumer Price Index (CPI), exchange rate, and stock index have a substantial impact on the price of bitcoin. And the relative value in the US is small, this suggests that the forecast of future bitcoin prices is relatively accurate
GÖRME GERECİ KULLANICILARININ GÖZ SAĞLIĞI OKURYAZARLIĞI DÜZEYLERİNİN BELİRLENMESİ
Authors: ALTUNSOY İLKAY , GÜR DENİZ , EROĞLU ADEM
Published: January 2025

Amaç: Bu araştırmanın amacı görme gereci kullanıcılarının göz sağlığı okuryazarlığı düzeylerinin belirlenmesidir.
Gereç ve Yöntem: Araştırma tanımlayıcı tasarımda gerçekleştirilmiştir. Çalışmaya optik gözlük ve kontakt lens kullanan gönüllü bireyler dahil edilmiş,
sağlık çalışanı ve/veya sağlık bölümü öğrencileri çalışma dışı bırakılmıştır. Veriler, Mayıs-Ekim 2023 tarihleri arasında Google Forms aracılığıyla 406 kişiden
toplanmıştır. Veri toplama aracının; birinci kısmında katılımcıların kişisel özellikleri ve göz sağlığı hakkında sorular yer alırken, ikinci kısmında “Göz Sağlığı
Okuryazarlığı Ölçeği” kullanılmıştır. Verilerin analizinde iki bağımsız grupta t testi, ikiden fazla bağımsız grup karşılaştırılmasında ise tek yönlü varyans analizi
(ANOVA) uygulanmıştır. Fark yaratan grubu bulmak için Bonferroni testi kullanılmıştır.
Bulgular: Katılımcıların ölçekten aldıkları kontrol alt boyutu ortalaması 11,46±5,03, önleyici alt boyutu ortalaması 13,13±7,73, komplikasyon alt boyutu
ortalaması 16,83±10,74 olarak bulundu. Katılımcıların cinsiyet, yaş, eğitim, meslek, gelir düzeyi, göz muayenesi yaptırma sıklığı, kullandığı görme gereci türü
ve göz sağlığı hakkında bilgi edinme kaynağı ile göz sağlığı okuryazarlık düzeyleri arasında anlamlı fark bulundu (p<0,05).
Sonuç: Göz sağlığı okuryazarlığını farklı demografik değişkenler etkilemektedir. Katılımcıların göz sağlığını korumaya yönelik okuryazarlıkları ortanın üzerinde, göz hastalıklarının oluşumunu önleme ve komplikasyonlarına ilişkin okuryazarlıkları ise orta düzeydedir.
The Dialectic Of Ethiopian Unity
Authors: Mindaralew Zewdie
Published: January 2025

This research is meant to show the philosophical secrets lying behind the persevering stance of Ethiopian unity despite the mounting negative factors that has been in force since the downfall of the Dergue regime in 1991. The attempt to uncover the philosophical underpinnings that can explain the saddeningly amazing bitter fact that Ethiopian unity somehow holds onto its existential unit in the face of a relentless, structural and intentional acidic factors being strewn unto it in the hands of the Ethiopian People’s Revolutionary Democratic Front (EPRDF) government would rely on the theoretical framework of Hegelian dialectic. To the success of this philosophical research, I helped myself profoundly to the rational and critical methods that are touted as the warps and woofs of a philosophical treatise and research. Following the hefty and strict application of the aforementioned methods coupled with the theoretical framework of analysis the Hegelian dialectic offers, I arrived at the conclusion which holds: The dismantling of cancerous and utterly divisive legal ideological and structural threats the EPRDF government has been serving for nearly three decades against Ethiopian unity stands as the total negation or antithesis of Ethiopian unity; an antithesis which gave birth to its own negation instead of dismantling into smithereens Ethiopian unity. Hence, we do have this time around the Hegelian negation of negation which comes in the form and name locally known as Fanno.
South Africa’s Road Game To International Court Of Justice: An Agenda For International Peace And Security?
Authors: Braimah Awaisu Imurana , Lawrence Quarshie
Published: January 2025

This paper interrogates and reflects on South Africa’s journey to the International Court of Justice (ICJ). The objective was to seek justice for the besieged Gazans by Israel in the occupied territory. While the war in Gaza is an exothermic reaction by Israel to Hamas’s brutal attack on October 7, 2023, the conduct of the war on Gaza has been the indiscriminate bombings, disproportionate, and collective punishment of civilians in the overcrowded enclave. Despite all attempts by the international community (e.g., UNSC, EU) to halt the Gaza onslaught, Israel has thus paid no heed to calls for a humanitarian ceasefire to ameliorate the suffering masses in the Gaza Strip.
INFANTILE FIBROSARCOMA OF THE MAXILLA: A CASE REPORT OF A RARE CLINICAL PRESENTATION WITH DIAGNOSTIC AND TREATMENT INSIGHTS.
Authors: Abubakar Mohammad , Bala mujtaba , Bawa anas , Jaafaru rufai , Muhammad habeeb , Bamgbose babatunde
Published: January 2025

Fibrosarcoma is a rare malignant tumor of mesenchymal cell origin that is characterized by malignant fibroblasts embedded in a collagen matrix. Infantile fibrosarcoma is a variant that usually occurs in infants and young children. Infantile fibrosarcoma is a rare tumor, forming <1% of all childhood tumors, and is the most common soft tissue sarcoma in children aged 1 year. It can occur in any part of the body, but it is rare in the head and neck region. The treatment is usually surgery with adjuvant or neoadjuvant modality. Infantile fibrosarcoma has a very good prognosis higher than 80%. We report a case of left maxillary infantile fibrosarcoma in a 5-year old child of 13 months duration. The late presentation and absconding of this case could have been prevented through enhanced surveillance system and concerted effort towards achieving universal health coverage in our society.
International Environmental Dates – Opportunity for Non-Formal Education for Sustainable Development
Authors:   St. Cyril and St. Methodius University of Veliko Tarnovo, Bulgaria, Asenova Milka
Published: January 2025

The paper considers the international dates as an instrument for increasing public knowledge and conversance of questions of global character. The emphasis is laid on days of the ecological calendar connected with main topics, which concern the protection of environment and the sustainable development of human society. General conclusions are drawn from essential messages for achieving the goals of the sustainable development. Activities, methods, and available resources for commemorating the dates are classified, which is an opportunity for informal education of various social groups.
Britain’s Balkan Policy as a Precondition for Overcoming the “Brilliant Isolation“
Authors:   St. Cyril and St. Methodius University of Veliko Tarnovo, Bulgaria, Dimitrov Slavi
Published: January 2025

The article discusses the new geo-political situation regarding the Middle East at the end of the 19th century. The German economic influence in the Otoman Empire is analysed and the changes in Great Britain’s priorities regarding the overcoming of the “briliant isolation“ are traced.
NEUROEDUCAÇÃO E FENOMENOLOGIA: UMA RELAÇÃO POSSÍVEL
Authors: Pacifico Marsiel , Silva João Alisson Nunes
Published: January 2025

Considerando que o conhecimento sobre neuroeducação contribui para que o processo de aprendizagem, e que a fenomenologia propicia uma compreensão mais profunda das experiências e da forma de ver o mundo que os estudantes têm, abre-se uma boa possibilidade de investigação. Assim, o presente trabalho tem como objetivo esclarecer, primeiramente o que é neuroeducação, também o que é e como a fenomenologia pode ser aplicada enquanto perspectiva metodológica na escola. Depois, finalmente, buscar saber se há relação entre elas, tendo em vista a melhora educacional. Aqui apresenta-se uma pesquisa bibliográfica que vai mostrar a origem dos estudos em neurociência e como ela evolui para se tornar (ao somar conhecimentos com a psicologia e a educação) a neuroeducação. A pesquisa bibliográfica avança para explicar também pontos relevantes da fenomenologia e sua aplicação educacional. Ao término da leitura, buscar-se-á estabelecer elementos para análise sobre as possibilidades educacionais da neuroeducação e da fenomenologia. Isso porque a neurociência pode ajudar a entender como o cérebro processa as experiências vivenciadas pelos estudantes dentro ou fora da escola. Assim, com a verificação e análise dos dois campos do conhecimento, ficará evidenciado que há uma real e aplicável possibilidade de contribuição para efetivação de uma experiencia educacional significativa e transformadora ao se associarem ambas as propostas metodológicas.
The Impact of User Experience on System Accuracy and Exploring with QR Interfaces for Students Safety in Campus office
Authors: Abegail Calungsod , Rose Cardenas Jiffy , Grace Deleverio Ma , Danimae Diez , Marie Mendoza Haymie , Jenlo Lapasaran
Published: January 2025

Quick Response (QR) codes have emerged as versatile technological tools across various domains, including education and safety management. Initially developed for tracking automotive components, these two-dimensional barcodes have evolved to become powerful communication and interaction mechanisms. In campus safety contexts, QR codes offer potential solutions for rapid information dissemination, access control, and emergency response systems.This research investigates the critical relationship between user experience and system accuracy in QR code-based safety interfaces within campus environments. As educational institutions increasingly adopt technology-driven safety solutions, understanding the nuanced interactions between users and QR code systems becomes paramount. By examining how user behavior, interface design, and technological implementation influence system performance, this study aims to provide actionable insights for developing more reliable and user-friendly safety technologies. Through a comprehensive mixed-methods approach, we analyze the factors that contribute to scanning accuracy, user engagement, and overall system effectiveness.
Schizophrenia Diagnosis and Predictionwith Machine Learning Models
Authors: Norouzi Faezeh , Santos Machado Bruna Lino Modes , Nematzadeh Shervin
Published: January 2025

Schizophrenia is a multifaceted mental disorder with varying levels of proneness, making accurate classification essential for early intervention and effective management. This study investigates the application of machine learning techniques to classify schizophrenia proneness levels based on behavioral and demographic features, including age, fatigue, slowing, pain, hygiene, and movement. Using a dataset of 1,000 samples categorized into five levels of proneness—Elevated, High, Moderate, Low, and Very High—we evaluated the performance of Logistic Regression, Support Vector Machine (SVM), Gradient Boosting, and Decision Tree classifiers. Among the models, Logistic Regression achieved the highest accuracy of 94.2%, demonstrating its effectiveness in capturing feature relationships and its suitability for datasets with linear or near-linear patterns. SVM is closely followed with an accuracy of 93%, showcasing its robustness in handling high-dimensional data and non-linear relationships. Gradient Boosting achieved an accuracy of 88.1%, indicating its ability to model complex patterns through iterative corrections, while the Decision Tree, with an accuracy of 75.6%, served as a baseline, reflecting the limitations of single-tree models for complex datasets.
Pengaruh Life Review Therapy Terhadap Harga Diri Rendah Pada Pasien Gangguan Jiwa Di UPT Bina Laras Dinas Sosial Provinsi Riau
Authors: Puswati Desti , Romantia Andini , Devita Yeni , Nita Yureya , Alfianur
Published: January 2025

Harga diri mempengaruhi motivasi, perilaku fungsional, dan kepuasan hidup, dan berhubungan signifikan dengan kebahagiaan seumur hidup.  Harga diri yang rendah dapat  dikaitkan dengan fenomena negatif, seperti masalah yang berhubungan dengan penyalahgunaan alkohol dan obat- obatan, kekerasan, depresi, kecemasan sosial, isolasi sosial dan peningkatan angka bunuh diri. Life review therapy merupakan salah satu psikoterapi yang digunakan untuk pasien harga diri rendah. Penelitian ini bertujuan untuk mengetahui pengaruh life review therapy terhadap harga diri rendah pada pasien gangguan jiwa. Jenis penelitian kuantitatif dengan desain penelitian pre- eksperimen one group pre-post test design. Sampel penelitian berjumlah 12 pasien dengan harga diri rendah di Upt. Bina Laras Dinas Sosial Provinsi Riau. Teknik sampling menggunakan simple random sampling. Instrumen penelitian berupa kuesioner Rosenberg Self Esteem (REES). Hasil penelitian dengan menggunakan uji t-dependen (Paired t-test), didapatkan hasil p-value 0.00 < 0.05, artinya Ho ditolak yang dapat disimpulkan ada pengaruh life review therapy terhadap pasien dengan harga diri rendah di UPT Bina Laras Dinas Sosial Provinsi Riau.
FAKTOR-FAKTOR YANG MEMPENGARUHI WELL-BEING PADA KARYAWAN SEKTOR PUBLIK DI JAKARTA
Authors: Haikal Arrayyan  , Dita Oki Berliyanti
Published: January 2025

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi well-being pada karyawan sektor publik di Jakarta, dengan fokus pada pengaruh High Commitment Work System (HCWS) dan Ethical Leadership yang dimediasi oleh Organizational Support. Penelitian ini melibatkan 211 responden karyawan sektor publik, yang mayoritas berjenis kelamin wanita, berusia antara 24 hingga 34 tahun, berpendidikan terakhir SMA/sederajat, dan memiliki masa kerja antara 1 hingga 5 tahun. Lokasi kerja terbanyak adalah bank di Jakarta Timur. Terdapat tujuh hipotesis yang diuji, dengan hasil lima hipotesis didukung dan dua hipotesis tidak didukung. Hasil analisis dapat dirangkum sebagai berikut High Commitment Work System tidak berpengaruh positif terhadap well-being. Ethical Leadership berpengaruh positif terhadap well-being. Ethical Leadership Behavior tidak memiliki pengaruh terhadap Psychological Safety. High Commitment Work System berpengaruh positif terhadap Organizational Support. Organizational Support berpengaruh positif terhadap well-being. High Commitment Work System berpengaruh positif terhadap well-being dengan dimediasi oleh Organizational Support. Ethical Leadership berpengaruh positif terhadap well-being dengan dimediasi oleh Organizational Support. Hasil penelitian ini menunjukkan pentingnya peran kepemimpinan etis dan dukungan organisasi dalam meningkatkan well-being karyawan sektor publik. Meskipun High Commitment Work System tidak berpengaruh langsung terhadap well-being, efek positif dapat tercapai melalui mediasi dari Organizational Support.
TATA KELOLA TAMAN HUTAN KELONO SEWANDONO KABUPATEN PONOROGO
Authors: Surojo Amor , Hilman Yusuf
Published: January 2025

This study aims to describe and analyze the governance of Kelono Sewandono Forest Park in Ponorogo Regency using the theory of Good Environmental Governance. According to this theory, good environmental management involves the roles of all stakeholders, including the government, NGOs, the private sector, and civil society, to achieve environmental sustainability. The research methodology used is a qualitative approach with data collection techniques through observation, interviews, and documentation. The research results show that the park management has followed existing regulatory principles; however, there are still obstacles such as budget constraints and vandalism. Efforts to increase public understanding of park rules and active participation from various stakeholders, including CSR involvement from the private sector, are expected to improve the park's management effectiveness. A systematic and collaborative approach between the government and the community is needed to create a clean, safe, and sustainable park.
KAJIAN HISTORIS DAN KULTURAL AMPARAN TATAK SEBAGAI KULINER TRADISIONAL KHAS SAMARINDA
Authors: Sarip Muhammad , Hajati Syifa , Harma Winda Pramita
Published: January 2025

Culinary is one of the works of human culture. In the city of Samarinda, whose population is heterogeneous, there is a snack that represents the culinary uniqueness of the capital of East Kalimantan. Amparan tatak, as a snack produced by the Banjar community in Samarinda, can be accepted as one of the iconic cuisines. This research aims to describe the historical dynamic of Samarinda from the colonial period to the present, then to describe the role of the Banjar entity in shaping the diverse culture of Samarinda’s society, and subsequently to describe the process by which amparan tatak snacks can become a distinctive culinary specialty of the city of Samarinda. In this study, the historical research method is used, which includes four procedures: heuristics, verification, interpretation, and historiography. The research results show that there was a relationship between the Banjar Kingdom and the Kutai Kingdom in the past, in this context Samarinda as the port city of Kutai. The existence of the Banjar community in Samarinda since the colonial era has significantly influenced the culture of Samarinda’s society. In the past, amparan tatak was sold in the city of Samarinda by walking around and always became a must-try culinary dish traditionally served during the breaking of the fast ritual in Ramadan. Based on this research, it is recommended that the Samarinda City Government manage the registration of amparan tatak as Indonesia’s Intangible Cultural Heritage.
Practices of Open Science Ecosystem Building in the EU
Authors: Koleshchuk Orest , Stepura Tetiana , Korytska Olha
Published: January 2025

The development of open science in the EU is designed to promote the global integration of scientific research, and increase its transparency and accessibility for faster knowledge exchange and its growth. A single open science ecosystem should be formed through effective data management, interdisciplinary cooperation, and compliance with modern, sustainable global development goals. This study considers approaches to adapting successful EU practices to the scientific sphere of other regions outside the EU, particularly Ukraine. The article aims to generalize the logic of the formation of the open science ecosystem in the EU and analyze its main characteristics: transparency, openness, and cooperation for disseminating such practices in the field of research in Ukraine. Using the methods of systematization, comparison, and visualization, a graphic diagram of the open science ecosystem in the EU is presented. Its main subsystems are identified: legislative initiatives and regulatory mechanisms, technical infrastructure, tools and platforms, training and development, monitoring, evaluation, and stimulation. Thanks to the use of the case method, ecosystem elements were identified that contribute to the formation and development of open science in various areas of research: Horizon Europe Open Access Mandate, Science Europe Open Access Services, European Data Strategy, FAIR Principles, European Open Science Cloud, OpenAIRE, Copernicus Data Store, Zenodo, D4Science, PLoS Open Science, SELFIE Tool, Coalition for Advancing Research Assessment, and others. Barriers to the development of this ecosystem were identified: technical (insufficient infrastructure, lack of unified standards), legal (data confidentiality, copyright), and social (resistance to changes in society, lack of competencies among researchers). The results of the study have practical value. For Ukraine, implementing open science elements can contribute to integration into the European scientific space and increase the level of research through innovative platforms and policies. Prospects for further scientific research include assessing the effectiveness of the implementation of the open science ecosystem, as well as studying the specifics of the implementation of open science in EU countries with different levels of economic and social development. By type of research, the article is theoretical.
The Integration of Cognitive and Sociocultural Theories of Literacy Development: Why? How?
Authors: Davidson Katherine
Published: January 2025

Cognitive and sociocultural theories of literacy development are historically considered incommensurable in practice and in research. Cognitivists view literacy development as a succession of qualitatively varied skills whereas socioculturalists view literacy as socially and culturally embedded. Traditional educational discourses tend to reflect cognitivist perspectives, which risk creating and maintaining social inequities in our increasingly diverse society. The underpinnings and differences of these two theories are discussed. It is argued that integration of the theories is possible and desirable in educational practice and research in order to equalize the learning opportunities for all students.
From Theory to Practice: Engaging Immigrant Parents in Their Children’s Education
Authors: Bernhard Judith K.
Published: January 2025

The development of a series of theoretically based interventions for newcomer (immigrant) parents was undertaken over a 10-year period through an iterative method of designing and analyzing a series of ethnographic studies of its implementation. The results of three such interventions are reported here. The work was based on the critical theory of Freire and the post-Marxist and radical theories of Bourdieu and Cummins. Specifically, the interventions were designed to help immigrant groups of parents (of Latino origin) to understand their position of marginality, to help empower them, and to provide them with a basis for acting in support of their children’s education in the new host country. The findings of the interventions reported show how the research program evolved along with the dialectic refinement of practice and theory.
Should Alberta Adopt a Land Transfer Tax?
Authors: Dahlby Bev , Larson Braeden
Published: January 2025

This paper provides background information that the public can use to assess the merits and consequences of introducing a land transfer tax in Alberta. Land transfer taxes are levied when real property is transferred from one owner to another. Five provincial governments levy land transfer taxes and in Ontario and British Columbia, they raise substantial amounts of revenue for the provincial governments. What is also clear is that land transfer taxes are very volatile sources of tax revenue that increase rapidly during housing market booms, but then decline sharply when housing markets crash. The econometric evidence on the impact of land transfer taxes on housing prices and sales volumes, based on the experiences in different countries, is somewhat mixed, but most studies indicate that a substantial share of the burden is borne by current homeowners through reductions in housing sales prices and many studies find that land transfer taxes significantly reduce the volume of residential real estate transactions. The authors of many of the studies that we review conclude that residential property tax is a better source tax revenue than a land transfer tax because it causes few distortions in the housing market. We estimate that a one per cent land transfer tax in Alberta would have yielded between $480 and $500 million in 2017. The value land transfers in Alberta can vary substantially from year to year, making a land transfer tax in Alberta would be a highly volatile source of tax revenue. A land transfer tax would likely exacerbate the volatility of total provincial revenues, making budgeting and fiscal decisions even more difficult than currently. A one percent land transfer tax on an average land transfer in 2015 would represent six to seven percent of median household income in Edmonton and Calgary. This would be significantly higher than the four to five percent land transfer tax burden on the residents of other Alberta cities because of the higher housing prices in Alberta’s two largest cities. We conclude that a land transfer tax is an inferior source of tax revenue and we are not in favour of the introduction of a land transfer tax in Alberta.
A Review on Herbal Teas for PCOS: Evidence-Based Benefits for Hormonal and Metabolic Health
Authors:   Rungta Institute of Pharmaceutical Sciences & Research, Kohka, Kurud, Bhilai, Pratap Abhishek , Sahu Gyanesh Kumar , Sinha Denees , Kumar Takeshwar , Vaishnav Harsh
Published: January 2025

Polycystic Ovary Disease (PCOD), a common endocrine disorder affecting women of reproductive age, is marked by hormonal imbalances, irregular menstrual cycles, and metabolic disturbances. While conventional treatments are available, their associated side effects have led to an increased interest in natural remedies. This study aims to develop and evaluate a herbal tea blend as a complementary therapeutic option for managing PCOD, using a selection of carefully chosen medicinal herbs. prepare herbal tea with new combinations using plant species such as ashwagandha, Chasteberry, fennel, chamomile, shatavari, ginseng, coriander seeds, cinnamon in spite of fact that plant materials form the basis of drug development and herbal formulations are popular, there are few articles on clinical efficacy and safety. In this article, we will discuss how herbs can be useful in certain areas of clinical and preventive health, and what further analysis is needed to understand whether habitually use can promote healthy lifestyles more commonly.

KEYWORDS: PCOD, Menstrual, Hormone regulation.
A Novel Approach to Detect Leaf Diseases Using GAN, YOLO and DCNN
Authors:   Department of Computer Science and Engineering PES Institute of Technology & Management Shivamogga, Karnataka, India, N Sinchana , K R Vibha , H R Sunil Kumar , Kounain Syeda Madiha , N S Varshini
Published: January 2025

The accurate detection of leaf diseases is a pivotal challenge in agriculture, directly impacting crop health and productivity. Existing approaches often struggle with limited annotated datasets, high inter-class variability, and computational inefficiencies. This research introduces a novel methodology leveraging Generative Adversarial Networks (GAN), You Only Look Once (YOLO), and Deep Convolutional Neural Networks (DCNN) to address these gaps. GANs are employed for dataset augmentation, enhancing diversity and robustness, while YOLO enables real-time detection. DCNN provides detailed classification to ensure precise disease identification. The proposed framework builds upon prior research on machine learning-based disease detection by integrating advanced data augmentation and feature extraction techniques. Experimental evaluation demonstrates that this approach outperforms conventional models in terms of F1 score and accuracy, showcasing its potential for scalable and reliable deployment. This study bridges the gap between theoretical advancements and practical agricultural applications, contributing to sustainable farming practices.

Keywords— Leaf disease detection, GAN, YOLO, DCNN, agriculture, dataset augmentation, prior research..
Assessing the influence of socio-demographic characteristics on teachers' resilience in Tanzania: A study of selected secondary schools in Morogoro Municipality
Authors: Costantine Edgar , Mwinjuma Juma Saidi , Nemes Joyce
Published: January 2025

This study explored how socio-demographic factors affect teachers' resilience in selected secondary schools in Morogoro Municipality, Tanzania, using a mixed-method approach. Data were collected from 238 participants via questionnaires and interviews and analyzed with SPSS version 25. Key statistical methods, including binary logistic regression and chi-square tests, were employed to examine the relationships between socio-demographic variables and resilience that were measured by teachers' resilience scale. The findings highlighted significant correlations between resilience levels and factors such as education, media exposure, and marital status. About half of the teachers showed high resilience, while the other half demonstrated low resilience, indicating diverse coping abilities. Teachers with higher educational qualifications and greater exposure to educational media exhibited better resilience and adaptive strategies. The study emphasizes the need for reforms in educational institutions and policies to enhance professional development and media access, ultimately aiming to improve teachers' resilience in Tanzanian secondary schools.
Gender Differences in Metacognitive Reading Strategies of Business and Engineering Students in Oman
Authors: Sayed Ruhina Mustajab Ahmed , Guduru Rajakumar , Chandrasekaran Saranya
Published: January 2025

Students often need help with reading comprehension, understanding, and retaining the meaning of the text. Overcoming reading difficulties involves teaching learners metacognitive strategies for effective reading. Metacognitive reading strategies enable readers to engage more actively with the material, improving comprehension, retention, and critical thinking skills while reading. This paper investigates the metacognitive strategy preferences of male and female Omani learners enrolled in Business and Engineering programs. Data was collected using the Survey of Reading Strategies (SORS). One hundred eighty-eight undergraduates, comprising 81 males and 107 females, responded to the survey. The data was analyzed using the SPSS statistical program. Descriptive statistics means and standard deviation were used to identify male and female learners' most preferred strategy scale (Global, Support, and Problem-solving strategies). Also, a t-test was used to determine individual strategy preferences between genders. The findings reveal no significant differences between male and female students for global and problem-solving strategies. However, results show a substantial difference between both genders for support strategies. Finally, the findings will inform curriculum developers and teachers in developing targeted metacognitive reading strategies to enhance students' competence in reading skills.
2024/2 A gender-related pay disadvantage cannot be justified by better negotiating skills (GE)
Authors: Born Leif
Published: January 2025

2024/2 A gender-related pay disadvantage cannot be justified by better negotiating skills (GE)

The German Federal Labour Court has ruled that pay discrimination on the grounds of gender is presumed if an employee receives less pay for the same work than comparable colleagues of the opposite gender. This presumption cannot be disproved by the fact that the favoured employee had negotiated better.
2024/3 The obligation of information and consultation in the event of projected collective dismissals with no representatives appointed (RO)
Authors: Suciu Andreea , Manaila Teodora
Published: January 2025

2024/3 The obligation of information and consultation in the event of projected collective dismissals with no representatives appointed (RO)

The Bucharest Court of Appeal has overturned a dismissal decision related to a collective dismissal, drawing upon the reasoning given by the European Court of Justice in Case C-496/22 (Brink’s Cash Solutions). This ruling followed a request for a preliminary ruling made by the same Court during the proceedings.
Employing Some Statistical Models in Facial Recognition
Authors: S. Keiteb Sura , Entsar A. Fadam
Published: January 2025

Face recognition is a computer vision approach that analyzes facial features to identify or verify a person's identity. it may be required to combine different biometric identification methods to improve security and recognition accuracy.
To identify an individual, facial recognition systems simulate human face understanding and recognition abilities management, there is difficulty in detecting data when using various patterns of facial image capture, especially when there is a large overlap between the patterns, it takes time to determine a person's membership, Many statistical methods have been proposed in recent years, and in this study, will be employing the Support Vector Machine (SVM), which is a statistical model for face recognition that has been used for classification and regression tasks, so this model will be compared with logistic regression, one of the significant statistical models used in prediction, classification, and facial recognition. Various methods will be evaluated with a group of datasets and varied samples (number of images); this group represented the real data, which consisted of 100 individuals. The results showed that SVM had the lowest mean square error (MSE) for the dataset, followed by LR, and all the methods reached the highest accuracy rate of 100% for facial image recognition on real data.
Forecasting the Number of Respiratory Patients Hospitalized in ThiQar Hospital Using Grey Model
Authors: H. Al-Sharoot Mohammed , Nadia A. Ayed
Published: January 2025

The accuracy of forecasting time series  is quite a popular subject for researchers in the past and at present. However, the lack of ability of conventional analysis methods to forecast time series leads scientists and researchers to apply various forecasting models that have different mathematical backgrounds such as artificial neural networks, fuzzy predictors, evolutionary and genetic algorithms. In this paper, we will use different versions of Grey models such as GM(1,1), Expanded Grey model, the  Modified Grey model using Fourier ,Grey Verhulst model, and  the Discrete Grey Model. The monthly numbers of respiratory patients lying in the emergency lobby of Dhi Qar hospital were used to compare the accuracy of the models. We note that the best model among the five Grey models is the Grey model whose errors were corrected by adopting the Fourier series as it achieved the best value for the four comparison criteria.
Forecasting the Volatility of OPEC Oil Prices using Fractionally Integrated GARCH models
Authors: H. Al-Sharoot Mohammed , Hanan A. Hamza
Published: January 2025

Some time series are characterized by their great volatility over time, especially time series related to the movement of the economy, and those related to the change in stock prices or the movement of financial transactions and stock markets, which are characterized by being non- stationary over time due to the change in the behavior of observations, making them suffer from the problem of  Heteroscedasticity . The paper aims the use of predictive models that a time series can adapt to with large fluctuations and with long memory over time, a number of important models used to deal with FIGARCH time series when the error distribution follows the t-distribution were studied and reviewed, which were used For the first time by Researcher Engel in 1982 and developed by other researchers, the characteristics of these models were reviewed and applied for the purpose of forecasting daily oil prices according to the prices approved by OPEC for the period from 2004 to 2022, where the practical analysis of oil price data showed that the best prediction model is the ARMA(2,2)-FIGARCH(1,d,2) model in which the error follows the t-distribution, and the best predictor performance is out of sample .
Lasso Quintile Regression Model to Identify the Variables Influencing the Phenomenon of Divorce in Iraqi Population Commutes
Authors: H. Hadi Fadel , Asaad N. Hussein Mzedawee  , Iqbal A. Mehdy Al-Janaby
Published: January 2025

Identifying the important variables in building regression models is considered one of the fundamental challenges in constructing a good model. Therefore, selecting  potential independent variables that have a direct impact on the dependent variable provides us with accurate explanations of the capabilities of our study model. Additionally, the chosen model should be capable of generalizing the phenomenon under study. And with a high predictive capability. There are classic methods used in selecting optimal variables, but these methods have drawbacks, including the need for a significant amount of time and the lack of accuracy in results due to dealing with a large number of regression models. However, recently, a set of variable selection methods has been proposed that focus on estimating model characteristics and selecting variables simultaneously, within a very short period of time. One of these methods is the Lasso method. To obtain a regression model characterized by a set of features compared to the traditional regression model, ridge regression can be used. To achieve variable selection in the ridge regression model, the Lasso method can be integrated to obtain a Lasso quantile regression model. In estimating and selecting the factors associated with a phenomenon that threatens Iraqi population communities, namely the phenomenon of divorce. The phenomenon of divorce is the process of separation between spouses and the final termination of the legal marriage contract. Divorce is a common social phenomenon in many cultures and societies around the world, posing challenges to individuals, families, and society as a whole.The causes of divorce can be diverse and complex. These reasons may include marital incompatibility, ongoing family conflicts, communication difficulties, marital infidelity, domestic violence, cultural and religious differences, financial problems, lack of social support, and other factors. The phenomenon of divorce affects all parties involved in the marital relationship. It can have psychological and emotional effects on spouses and children, if they have any, including anxiety, depression, sadness, anger, and feelings of disappointment. Children may struggle to adapt to family changes and may experience division and feelings of guilt or rejection. In current paper. We identify the important variables that effecting on phenomenon of divorce by using one of important variable selection approach
Classification of Iraqi Children According to Nutritional Status Using Fuzzy Decision Tree
Authors: A. Hasan Hussein , Mohammad J. Mohammad
Published: January 2025

The classification is one of the essential tools used in medical statistics to classify the nutritional status of children under five years. A good nutritional status is necessary for children's health and has a sicnificant role in the child's normal development. Likewise, poor nutritional status is considered a serious disease for this age group and needs attention from child health specialists. Doctors face great difficulty in determining the nutritional status due to the state of uncertainty in the incidence of this disease or the ambiguity in the variables and characteristics of that phenomenon. The fuzzy sets theory was applied to classify the nutritional status of children under the age of five years using fuzzy logic, where the fuzzy decision tree method was employed, and a tree was created for each age group (male, female) based on the linguistic variables (weight, height), and body mass index for the classification categories. In this study, the nutritional status of children was classified and the groups were identified more accurately to reduce the chances of misdiagnosis and provide them with more accurate appropriate treatment to improve the health level of children to build a more immune society with a good health level.
    The study dealt with a sample of (16487) Iraqi children under 5 years of age, the number of males (8427) and the number of females (8060), divided according to age into 12 categories or groups. The results showed the age groups She was of normal weight in varying proportions.
The Spectral Envelope Estimate via Dirichlet Kernel Function
Authors: R. Dikheel Tahir , Ali J. Alkenani  , Ali G. Abood
Published: January 2025

In this article the spectral envelope function for a nonstationary time series is estimated by using the Dirichlet kernel function. we divide the time series into a number of segmentations, then the nonstationary problem is solved to reduce its effect. The simulation and the sequence of the nitrogenous bases of the DNA of Escherichia coli bacteria are used to implement the goal of this article.
Models of Anomalous Diffusion and its analysis
Authors: F. AL- Saadony Muhannad , Nasir A. Naser
Published: January 2025

The anomalous diffusion is characterized by deviation from Gaussian statistics and the absence of a linear time dependency in the mean square displacement. This study investigates anomalous diffusion processes that exhibit a power-law growth in mean square displacement as time progresses.
The first stage is to create the model using random methods, that is, by using random walks. The following statement describes a continuous-time random walk model represented by a series of convolution-type integral equations depicting probability density functions. Fractional differential equations for time and space are derived from the master equations by choosing probability density functions with infinite first and/or second moments.
The obtained model equations are analyzed with respect to elementary boundary value problems in constrained fields. The main focus is on studying elementary boundary value problems related to the generalized fractional time diffusion equation, especially using the fractional Caputo derivative.
This equation applies a well-established maximum principle to stochastic partial differential equations of the elliptic and parabolic type (SPDEs). This concept is used to make preliminary estimates of the answer before using it to prove the uniqueness of the solution. To prove the existence of a solution, a clearly defined generalized solution is first generated using the spectroscopic method. Under certain additional circumstances, a comprehensive solution may be considered a solution in the traditional sense.