bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformation of 21st Century Surau-Based Education
Authors: Febriani Eka Asih , Komalasari Kokom , Malihah Elly , Custilas Anesito L 
Published: December 2023

Transformation education needs to reorganize, update and adapt the education system in the 21st century This study aims to analyze and describe the transformation of surau-based education in the 21st century in shaping the character of the religious Minang generation in Padang. This research uses social construction theory proposed by Peter L. Berger and Thomas Luckman. The research approach used is qualitative research with the case study method. The determination of informant criteria was carried out by means of purposive sampling. Data obtained through observation, interviews, and documentation. Data were analyzed by following the interactive data analysis model from Miles and Huberman which includes data reduction, data display, and verification or drawing conclusions. The results of the study show surau-based education in the 21st century is packaged in the form of Al-qur’an reading and writing programs at TPQ-TPA, didikkan subuh, wirid remaja, and youth boarding schools. Surau is interpreted today, no longer as it was before the 21st century, namely martial arts, and a place to sleep or where adult men gather but functions the same as a mushala and a mosque, namely a place of worship and learning that are not only for boys but also for girls of school age. The house of worship for Muslims in Padang is used as a means of implementing certified qur’anic educational institutions. The novelty in this research is the internalization of surau-based 21st century education values.
Chemical profile of essential oils of the Costa Rican native tree Myrcianthes storkii (Myrtaceae)
Authors: Chaverri Carlos , Cicció José F. 
Published: December 2023

Introduction: The genus Myrcianthes ranges from southern Florida to Chile, including the Caribbean, and the species Myrcianthes storkii is a shrub or tree found in Costa Rica and western Panama, in wet to very rainy, cloud, and oak forests (altitude 1300-3150m). Objective: To identify the chemical composition of essential oils from leaves, floral buds, and twigs of M. storkii of Costa Rica. Methods: We obtained the essential oils through hydrodistillation in a Clevenger-type apparatus. The chemical composition of the oils was done by GC/FID and GC/MS, using the retention indices on DB-5 and Carbowax types of capillary columns in addition to mass spectra. Results: The oils consisted mainly of terpenoids (55,45-87,75%). A total of 281 compounds accounted for 91,27-74,56% of the total amount of oils. The major constituents from the leaf oil were myrcene (17,44%), cis-calamenene (12,60%), α-pinene (5,48%), (E)-caryophyllene (5,16%), limonene (3,91%), p-cymene (3,71%), 1,8-cineole (2,80%), and α-humulene (2,80%). The floral bud essential oil consisted mainly of α-pinene (15,23%), cis-calamenene (12,70%), myrcene (8,59%), 1,8-cineole (4,26%), germacrene B (3,65%), α-humulene (3,55%), and (E)-caryophyllene oxide (2,93%). The major components of twig oil were cis-calamenene (11,31%), palmitic acid (7,99%), (E)-caryophyllene (4,68%), -cadinene (3,28%), cubenol (3,24%), and (Z)-caryophyllene oxide (2,94%). Conclusion: The presence of a significant quantity of myrcene and cis-calamenene seems to be characteristic of this species.
Crustaceans in Phragmatopoma sp. (Polychaeta: Sabellariidae) intertidal reefs, Pacific, Costa Rica
Authors: Vargas José A. , Vargas-Castillo Rita , Sibaja-Cordero Jeffrey A. 
Published: December 2023

Introduction: Annelid polychaete worms of the family Sabellariidae build reefs by cementing together sand grains. These reefs increase local habitat heterogeneity and species diversity. The reefs are used as a refuge by invertebrates, and crustaceans are frequent. Objective: To list the species of crustaceans found in Phragmatopoma sp. reefs on two localities of the North Pacific coast of Costa Rica and at the port of Puntarenas, Gulf of Nicoya estuary. Methods: We dislodged fragments of reef colonies qualitatively at low tide with a chisel, stored them in plastic bags and later disaggregated the fragments by hand. We identified the crustaceans whenever possible and deposited them in the collection at the University of Costa Rica (MZUCR). Results: We identified 30 species: 26 species of macro-crustaceans in samples from the North coast, eight of them Petrolisthes (Porcellanidae). From the Puntarenas samples we identified five species (27 macro-crustaceans and 3 isopods). A few micro-crustaceans (Amphipoda, Isopoda) were also present but not identified. Conclusions: The number of crustacean species found in Phragmatopoma sp. reefs is relatively high but comparisons with other studies are difficult. Porcellanid crabs are common on these reefs. The low diversity of Puntarenas reefs remains unexplained.
Evaluation of the effect of glutathione on nanozymatic activity of enzyme-like carbon dots
Authors: Jangi Saeed Reza Hormozi 
Published: December 2023

The effect of the glutathione molecules as a possible inhibitor was
investigated on the nanozymatic activity of the enzyme-like carbon
dots. The peroxidase-like activity of carbon dots was proved via
catalysis of peroxidase-mediated oxidation of TMB as a standard
peroxidase substrate. The experimental investigations exhibited that the
peroxidase-like activity of the carbon dots was significantly inhibited
by glutathione molecules. Hence, the inhibitory effect of glutathione
molecules on their nanozymatic activity was evaluated, revealing that
the relative activity of nanozymes was inhibited by increasing the
glutathione concentration in the reaction media, revealing a strong
inhibitory effect of glutathione molecules on the nanozymatic activity
of the enzyme-like carbon dots.
Implementasi Sport Industry Untuk Sekolah Dasar Berbasis Wisata Pendidikan Olahraga Tradisional
Authors: Irfan M , Hariadi Hariadi , Usman Khairul , Harahap Agustin Sastrawan , Hasibuan Muhammad Nustam 
Published: December 2023

Tujuan penelitian ini adalah untuk mengetahui uji kelayakan Sport Industry melalui Wisata Pendidikan berbasis Olahraga Tradisional di lingkungan Universitas Negeri Medan. Uji kelayakan perkembangan wisata pendidikan diterapkan dengan penilaian wahana dan jenis aktivitas bermain yang disajikan sebagai menu Sport Industry Universitas Negeri Medan melalui penilaian tempat kegiatan, peralatan yang disediakan, pelayanan instruktur, kelayakan pelayanan, dan kelayakan informasi dan pemasaran. Metode yang akan digunakan adalah metode Research and Development (R&D) konsep Borg and Gall yaitu research and information collecting, planning, develop preliminary form a product, preliminary field testing, main product revision, main field testing, operational product revision, operational field testing, final product revision, and dissemination and implementation. Penerapan implementasi dilakukan dengan menerapkan permainan dan olahraga tradisional pada wisata edukasi oleh pemandu dan fasilitator kemudian customer juga mendapatkan pengalaman langsung permainan dan olahraga tradisional, sehingga dapat menjadi stimulus implementasinya pada lingkungan masyarakat luas terutama pada relawan pelestarian permainan dan olahraga tradisional.Keywords: Sport Industry, wisata pendidikan, olahraga tradisional
C-NAR: Penerapan Model IMPRECI sebagai Upaya Menghasilkan Calon Guru dan Pembimbing Reflektif dalam PPL PPG Prajabatan
Authors: Faisal Faisal - , Ananda Lala Jelita , Damanik Suri Handayani , Lova Stelly Martha 
Published: December 2023

Penelitian ini bertujuan untuk mendeskripsikan penarapan model IMPRECI dalam menghasilkan calon guru dan pembimbing reflektif dalam PPL PPG Prajabatan di Universitas Negeri Medan. Hal ini dilakukan untuk pencapaian visi PPG Prajabatan yang salah satunya adalah menghasilkan kemampuan reflektif dalam proses pembelajaran. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) berkelanjutan dengan pendekatan Collaborative Nested Action Research (C-NAR). Dalam implementasinya, di samping mahasiswa melakukan perbaikan berkelanjutan dalam proses pembelajaran, dosen dan guru pamong melakukan perbaikan berkelanjutan dalam proses pembimbingan. Teknik pengumpulan data dilakukan melalui kuesioner, observasi, dan pendokumentasian. Instrumen penelitian menggunakan angket, lembar observasi, dan daftar centang dokumentasi. Teknik analisis data yang digunakan adalah analisis data deskriptif kuantitatif dan kualitatif. Data uji lapangan dianalisis dengan skor dan dijelaskan secara kualitatif/pengkategorian. Data uji lapangan/uji dianalisis dengan analisis data kualitatif model alir mulai dari reduksi data, penyajian data, hingga pada penarikan simpulan. Hasil penelitian dengan uji coba 3 siklus pembelajaran menunjukkan skor ketuntasan 91,30% (mahasiswa 1) dengan kategori Sangat Baik, 86,67% (mahasiswa 2) dengan kategori Sangat Baik, dan 95,23% (mahasiswa 3) dengan kategori Sangat Baik. Berdasarkan data ini dapat disimpulkan bahwa PTK berkelanjutan dengan pendekatan C-NAR berupa pembimbingan reflektif menggunakan model IMPRECI berhasil dilakukan pada PPL PPG Prajabatan di Universitas Negeri Medan.Keywords: C-NAR, IMPRECI, guru reflektif, PPG Prajabatan
PENGEMBANGAN APLIKASI PEMBELAJARAN ALGORITMA GLCM DAN KNN DALAM PENGENALAN PENYAKIT PADA DAUN
Authors: Lubis Ali Akbar , Dewy Mega Silfia , Isnaini Muhammad 
Published: December 2023

Abstrak: Kemajuan teknologi memberikan dampak yang besar dalam kemajuan bidang Pendidikan. Dengan kemajuan ini menyediakan sumber belajar yang beragam, salah satunya pembelajaran sebuah algoritma/metode. Terkadang sebuah implementasi sebuah algoritma atau metode tidaklah mudah. Karena prosesnya yang kompleks dan membutuhkan waktu untuk memahami langkah-langkahnya. Penelitian ini bertujuan untuk membangun sebuah aplikasi pembelajaran dalam menerapkan algoritma Gray Level Co-Occurance Matrix (GLCM) dan KNN dalam pengenalan penyakit pada daun. Algoritma GLCM (Gray Level Co-Occurance Matrix) dan KNN memproses citra yang diinput dengan pengenalan pola untuk mendeteksi penyakit yang terdapat pada tanaman. Hasil dari penelitian ini berupa aplikasi pembelajaran yang dapat menunjukkan langkah-langkah dalam proses pengenalan pola pada daun yang ditampilkan secara detail. Dengan adanya aplikasi ini maka dapat menjadi alternatif bagi masyarakat untuk mempelajari kedua algoritma ini. Kata Kunci: GLCM, KNN, aplikasi pembelajaran Abstract: Technological advances have had a major impact on the progress of the education sector. This progress provides various learning resources, one of which is learning an algorithm/method. Sometimes implementing an algorithm or method is not easy. Because the process is complex and takes time to understand the steps. This research aims to build a learning application in applying the Gray Level Co-Occurance Matrix (GLCM) and KNN algorithms in recognizing disease on leaves.The GLCM (Gray Level Co-Occurance Matrix) and KNN algorithms process the input image with pattern recognition to detect diseases in plants. The results of this research are in the form of a learning application that can show the steps in the pattern recognition process on leaves which are displayed in detail. With this application, it can be an alternative for people to learn about these two algorithms. Keywords: GLCM, KNN, Learning application
Threats to Diversity of Opinion and Freedom of Expression via Social Media
Authors: Funta Rastislav , Ondria Peter 
Published: December 2023

Abstract
The article investigates whether there is a need for legislative action in social networks—which are similar to broadcasting—to ensure that diversity of opinion can be sufficiently expressed to protect freedom of opinion-forming. The investigation focuses on Facebook because it has the largest number of registered users worldwide and is thus the network with the greatest reach. First and foremost, it will be debated whether social networks have a power of opinion comparable to broadcasting. Based on this foundation, it is possible to assess the extent to which diversity of opinion is expressed in social networks and the extent to which freedom to form opinions is actually under threat.
Elite Agenda, Media Framing, and Public Perception of European Integration in Estonia
Authors: Mölder Holger , Chochia Archil , Nyman-Metcalf Katrin 
Published: December 2023

Abstract
The following desk research was conducted in the framework of the Horizon 2020 project Mediatized EU to study how media discourses have been constructed to foster or hamper the European project and how they resonated among the public, by focusing on the elite–media–public triangle. This is an in-depth longitudinal review of the existing academic literature, policy developments, and available data on the transformation of media discourses, elite views, and public opinion on the EU and Europeanization in Estonia, Estonia’s path towards European integration, and the ways in which the media has influenced public opinion throughout the last twenty years since Estonia joined the European Union.
Divorce at the Notary: Protection of Creditors’ Interests
Authors: Trinkūnienė Eva , Viškelienė Tatjana 
Published: December 2023

Abstract
In order to continue to grow and prosper, modern society is increasingly adopting the products of companies, institutions, and organizations providing credit services. However, as a result, dissolution of a marriage tends to pose problems and raises unavoidable questions concerning the determination of the nature of the obligations of the spouses and the division of these obligations, which is why it is quite common in divorce cases for a third party, a creditor whose interests also need to be protected, to be involved. In cases concerning family relations, protection of the public interest predominates because protection of the legal interests of the spouses as well as the creditors must be guaranteed, also the proportionality of the protection of the legal interests between the parties must be achieved, because everyone has the right to defend their violated rights, and the state must ensure the protection of those legal interests. However, this protection is often compromised due to the lack of information available to notaries, which could be alleviated by more extensive use of technology. The article’s aim is to analyze the amendments to the Civil Code of the Republic of Lithuania as of 1 January 2023 concerning extrajudicial divorce at a notary, its advantages and drawbacks, as well as to discuss the existing and the possibility of adaptation of new technological solutions with an aim of improving the protection of creditors in the divorce process.
How Could Semantic Processing and Other NLP Tools Improve Online Legal Databases?
Authors: Vági Renátó 
Published: December 2023

Abstract
The spread of online databases and the increasingly sophisticated search solutions in the past 10–15 years have opened up many new opportunities for lawyers to find relevant documents. However, it is still a common problem that the various legal databases and legal search engines face an information crisis. Legal database providers use various information extraction solutions, especially named entity recognition (NER), to mitigate this problem. These solutions can improve the relevance of the lists of results. Their limitation, however, is that they can only extract and create searchable metadata entities if the latter have a well-defined location or regularity in the text. Therefore, the next era of search support for legal databases is semantic processing. Semantic processing solutions are fundamentally different from information extraction and NER because they do not only extract and make visible and/or searchable the specific information element contained in the text but allow for the analytical analysis of the text as a whole. In addition, in many cases, legal database developments using machine learning can be a significant burden on a company, as it is not always known what kind of an AI solution is needed, and how the providers could compare the different solutions. Legal database providers need to customize processing their documents and texts in the most optimal way possible, considering all their legal, linguistic, statistical, or other characteristics. This is where text processing pipelines can help. So, the article reviews the two main natural language processing (NLP) solutions which can help legal database providers to increase the value of legal data within legal databases. The article then shows the importance of text-processing pipelines and frameworks in the era of digitized documents and presents the digital-twin-distiller.
Novak, the Commons and the spirit of scholastic reasoning
Authors: Patriarca Giovanni 
Published: December 2023

Abstract
This essay traces a thread between the Novak’s philosophical and theological contribution and the economic and ethical reflection on the commons. Although present embryonically, these interconnections have not been taken into consideration so far. This convergence will be presented through three interrelated stages: a sound theological background, Scholastic reasoning and the evolution of the idea of common goods. From these points some interesting insights will emerge.
Between Novak and Maritain: The discussion on the capitalist economy in Catholic thought
Authors: Hoevel Carlos 
Published: December 2023

Abstract
Although Novak recognizes himself as a disciple of Maritain, especially in his thesis on the Christian origins of democracy, the differences between the two in their views on the capitalist economy are evident. However, in his famous book, The Spirit of Democratic Capitalism, and in other previous works, Novak tries to show some possible bridges between Maritain’s thought and the virtues of American capitalism. This attempt is actually part of a larger project by Novak: that of showing the essential compatibility of Catholicism with capitalism. The purpose of this article is to show, based on Novak’s thought in relation to Maritain, the possibilities and difficulties of this attempt.
TVP-VAR Frequency Connectedness Between the Foreign Exchange Rates of Non-Euro Area Member Countries
Authors: Akbulut Nesrin , Ari Yakup 
Published: December 2023

Abstract

Research background
The main purpose of monetary integration between EU countries is to eliminate excessive fluctuations in exchange rates. High volatility in exchange rates can cause various negative economic and financial effects, especially during periods of economic shocks. In addition, estimating the volatility between currencies and their interactions is of great importance for effective portfolio management.

Purpose
The objective of this research is to scrutinize the transmission of volatility between the currencies of those European Union nations that do not participate in the EURO area, focusing on the exchange rate parity of the US Dollar with seven non-EURO zone currencies.

Research methodology
Daily volatility in exchange rates was calculated using the Garman-Klass-Yang-Zhang (GK-YZ) method. To investigate the connectedness between these volatilities, we used the Time-Varying Parameter Vector Autoregression (TVP-VAR) frequency connectedness approach.

Results
The Average Total Connectedness Index exhibits a significant degree of connectedness of approximately 71.84%. The Net Total Directional Connectedness Index indicates that the CZK, DKK and RON exchange rates are net beneficiaries in aggregate and in a longer term perspective, whereas the DKK, HUF and PLN exchange rates are net beneficiaries in a shorter term horizon. In the context of major global events such as the onset of the COVID-19 outbreak in March 2020 and the start of the Russia-Ukraine conflict in February 2022, it could be observed that the dynamic Total Connectedness Index exhibited a substantial increase, both overall and from a long-term perspective, corroborating theoretical expectations. According to the Net Pairwise Directional Connectedness index, the highest bilateral connectedness overall and in the short run was between DKK and RON, while in the long run between BGN and DKK.

Novelty
Examining the connectedness of currencies is of great importance for investors doing business with foreign currency, international cooperation and policies, risk management and portfolio management. Determining the connectedness in different frequency (short and long-term) ranges provides important information for hedging risk. In addition, the bilateral connectedness between currencies is a guide for effective portfolio diversification.
Associative Rules for Modeling International Security Decisions in the Context of the Ukrainian-Russian War. Preliminary Evaluations
Authors: Berezka Kateryna M. , Kovalchuk Olha Ya. 
Published: December 2023

Abstract

Research background
By launching a war against Ukraine, Russia changed the entire world system and demonstrated the ineffectiveness of the global security system. Today it is necessary to look for effective solutions to support the adoption of security decisions and develop effective strategies for the formation of a new architecture of the international security system.

Purpose
The paper aims to obtain preliminary approximate estimates of the state commitments of the countries of the world that support Ukraine in the war with Russia and to reveal non-obvious connections and regularities in the provision of various types of aid.

Research methodology
The data were collected on the rough refugee cost estimate, quantitative assessment of the government-to-government commitments, and preliminary data on non-bilateral aid transferred by governments to Ukraine of 40 countries. We used the FP-Growth algorithm to identify non-obvious connections and patterns between different types of support for Ukraine.

Results
We created an associative rules model to detect non-obvious patterns and relationships between the different types of bilateral commitments of the countries, that support Ukraine.

Novelty
Preliminary estimates were obtained between various types of international support for Ukraine in the war against Russia covering February 24 to November 20, 2022, the number of Ukrainian refugees accepted by the respective countries, and the sale of arms to Russia by some of them after the ban.
A Study on Loan Delinquency of the Self Help Group-Bank Linkage Programme in Rural Rajasthan
Authors: Bhatnagar Deepali , Yadav Kajal 
Published: December 2023

Abstract

Research background
Providing the microfinance to rural women is the prime concern of the government at central and state level in which the best microfinance programme is the Self Help Group Bank Linkage Programme. However, the Delinquency rate of the SHGBLP loan is on the higher side. As, borrowers do not make their loan repayments on time.

Purpose
The purpose of this research is to examine which types of self-help groups make timely repayments of an old loan. Also, to find out the different aspects of the loan delinquency rate which affect them and to find out the impact of self-help group maturity on loan repayment.

Research methodology
For this a total of 300 members were selected from the Udaipur and Banswara district of Rajasthan. Further, Tobit Regression has been applied to find out the factors which affect the loan delinquency percentages in the Self Help Group Bank Linkage Programme.

Results
The results highlighted that the maturity of the SHG group affects their repayment performance as old SHGs are functioning well in terms of repayment. The reason for the high delinquency rate is that the members had no surplus Income to repay back because of the failure of Business, natural calamities and medical issues. The members who are repaying the loan back on time are giving from their agriculture and enterprise profits.

Novelty
A lot of research has been carried out on the Impact of SHGBLP on many other factors but there is no research that has been done to find out why the programme has high loan delinquencies after being the best together with the impactful microfinance programme.