bluuebunny/crossref_metadata_2025 huggingface dataset:
THREAT ACTORS SEEKING TO EXPLOIT AI CAPABILITIES. TYPES AND THEIR GOALS
Authors: KOVACI Petru-Dan
Published: April 2024

Artificial Intelligence’s advancement has led to ethical and privacy concerns due to the ability of algorithms to mine personal data and conduct surveillance on a large scale. The influence of Artificial Intelligence (AI) in cybersecurity extends beyond private entities and individuals. In this scenario, it is important to highlight the threatening actors and their objectives in order to counter AI-based cyber threats. We are dealing with different entities, each having its own interests: cybercriminals are interested in making profit, terrorist groups cause ideological violence and nation-states target geopolitical influence. Moreover, they are increasingly interested in developing AI-driven cyber warfare capabilities for either attacking their enemies or enhancing their defence measures against such attacks. This trend will most likely aggravate the global cyber arms race as countries compete to surpass each other in the development and deployment of AI-driven cyber capabilities. Consequently, it has become crucial for organizations and individuals to understand how AI affects cybersecurity and, thus, adapt their strategies accordingly. Traditional defences must be supplemented with AI-powered tools and techniques to stay ahead of the curve, while security experts must continually update their skills and expertise to cope with the changing threat landscape.
POTENSI KEANEKARAGAMAN FLORA DAN KANDUNGAN TIMBAL TANAMAN LANSEKAP JALAN (STREETSCAPE) KOTA MADIUN PROPINSI JAWA TIMUR
Authors: Mochamad Soeprijadi Djoko Laksana  , Arum Suproborini  , Naniek Kusumawati
Published: April 2024

Asap kendaraan bermotor menyebabkan polusi Pb. Penelitian ini mempunyai tujuan untuk mengetahui komposisi tanaman lansekap jalan (Streetscape) kota Madiun, kandungan timbal pada tanah dantanaman lansekap jalan (Streetscape) kota Madiun. Target penelitian ini adalah melakukan inventarisasi keanekaragaman flora  dan kandungan timbalpada tanah dan tanaman lansekap jalan (Streetscape) kota Madiun. Hasil inventarisasi diharapkan dapat menghasilkan suatu disain tanaman lansekap jalan (Streetscape)  yang indah, asri, nyaman, dan bebas polutan dengan skala prioritas penataan tanaman bioreduktor.  Metode penelitian yang digunakan adalah metode survey yang meliputi inventarisasi flora dananalisa kandungan Pb (timbal) pada tanah dandaun tanaman. Dalam penelitian ini dilakukan pengukuran pH tanah menggunakan pH meter, suhu udara menggunakan termometer, kelembaban udara menggunakan higrometer, analisa kandungan Pb pada tanah dan daun tanaman menggunakan XRF (X Ray Flourecences). Inventarisasi tanaman, pengambilan sampel tanah dan tanaman dilakukan dengan metode purposive random sampling. Berdasarkan hasil inventarisasi tanaman lansekap didapatkan 15 jenis tanaman yang bermanfaat sebagai tanaman hias sekaligus sebagai tanaman obat dan bioreduktor Pb yaitu ; Cordyline fruticosa, Canna indica, Bougenvillea spectabilis, Chlorophytum cormosum, Duranta repens,  Equisetifolia sp, Saraca indica L., Agave gigantea, Ficus benyamina, Sansevieria sp, Euphorbia hirta L., Codiaeum variegatum Bi, Ruellia tuberosa L.,Syzygium oleira, dan  Graptophyllum pictum L. Hasil pengukuran faktor lingkungan fisik yang meliputi : suhu udara berkisar antara 25,1-27,0 ; kelembaban udara berkisar antara 84-96 % ; dan pH tanah berkisar antara 6,85-7,10. Berdasarkan hasil analisis kandungan Pb pada tanah berkisar antara < 7000 µg/m³ - 86.000 µg/m³ (<7 ppm – 86 ppm). Hasil analisis kandungan Pb pada 15 jenis tanaman sampel masing-masing adalah < 7.000 µg/m³ (<7 ppm). Faktor lingkungan fisik sangat mendukung untuk pertumbuhan tanaman. Tanaman lansekap(streetscape) di kota Madiun mampu sebagai bioreduktor Pb.
A „Rendvédelmi jog és közigazgatás I.” című okostankönyv módszertani bemutatása
Authors: Papp Orsolya
Published: April 2024

A Z generáció oktatása a 21. századi pedagógusok egyik legnagyobb kihívása. Számukra természetes a digitális technológiák használata, figyelmük rövid ideig tartható fenn, a szükségesnél több energiát nem fektetnek tevékenységeikbe, minden kérdésre azonnal választ szeretnének kapni. A cikk a KÖFOP-2.1.5–VEKOP-16-2016-00001 azonosítószámú, „A versenyképes közszolgálat személyzeti utánpótlásának stratégiai támogatása” című projekt keretében készült Rendvédelmi jog és közigazgatás I. című szakképzési tananyag (jegyzet) digitális tartalmakkal történt bővítését és annak pedagógiai módszertani alkalmazását mutatja be. A kiegészítő digitális tartalom támogatja a szemléltetést, segít az összefüggések felismerésében, épít a diákok aktivitására a feldolgozási folyamatban, valamint lehetőséget ad az önszabályozó tanulásra.
Nagy nyelvi modellek gyógyszeripari alkalmazhatóságának lehetőségei
Authors: Péterfi Orsolya
Published: April 2024

A gyógyszerkutatás és -fejlesztés hosszú és költséges folyamat, amely számos kihívással jár. A készítmény forgalomba hozatalát követően a minőségellenőrzés és a mellékhatások monitorozásával biztosítják a gyógyszer biztonságosságát és hatásosságát. A gyógyszeripar szigorú szabályozási követelményeknek kell eleget tegyen, ami nehezíti az innovációt és a hatékonyságot. A nagy nyelvi modellek egyre nagyobb teret hódítanak az életünkben, ami széles körű alkalmazhatóságuknak köszönhető. Ezek a modellek képesek nagy mennyiségű nyelvi információ feldolgozására és szöveggenerálásra. A mesterséges intelligencia alapú eszközök alkalmasnak bizonyultak hatalmas mennyiségű tudományos és orvosi információ elemzésére, ezáltal rendkívül sokoldalú segítséget nyújtanak a gyógyszerkutatás, - fejlesztés, -gyártás és minőségellenőrzés területein. Mindezek révén csökkenthetőek a gyógyszerkutatás költségei, felgyorsítható az új készítmények piacra jutása, végsősoron a gyógyszeripar hatékonyabbá válhat.
Estratégias para a implementação da telessaúde no âmbito da atenção primária
Authors: Amaral Amanda Soares do , Turola Ana Carolina de Magalhaes Leite , Pristilo Caroline Bigaton , Coscina Camila Lot , Coscina Giulia Lot , Silva Isadora Camapum Bringel e , Alves João Manoel Guilherme , Amaral Lívia Soares , Maran Lucas Ramos , Santos Maria Fernanda Girotto dos , Miake Tiago Eiji , Barbosa Thamyres Maria Silva
Published: April 2024

O objetivo desse estudo é analisar e propor estratégias eficazes para a implementação da telessaúde no âmbito da atenção primária, visando melhorar o acesso, a qualidade e a eficiência dos serviços de saúde prestados à população. Para alcançar esse propósito, optou-se por realizar uma revisão narrativa de literatura, focalizando na temática proposta e delimitando os objetivos da pesquisa. A busca por dados foi conduzida em plataformas online, incluindo PubMed, SciELO, biblioteca virtual de saúde e Google Scholar, além de portarias do Ministério da Saúde. A inclusão de estudos foi restrita a trabalhos completos que abordassem diretamente o tema proposto e que tivessem sido publicados entre 2019 e 2024. Os critérios de exclusão foram aplicados para remover artigos que não estivessem alinhados com o tema proposto ou fora do escopo da temática selecionada e do período de tempo especificado, Os dados extraídos foram analisados e sintetizados de forma narrativa, destacando as principais estratégias identificadas para a implementação da telessaúde na atenção primária. Os resultados ressaltam a relevância e os desafios associados à implementação da telessaúde na atenção primária. Destacou-se, ainda, a necessidade de uma abordagem abrangente e adaptativa para superar os obstáculos identificados e maximizar os benefícios. Esses benefícios incluem não apenas a ampliação do acesso aos cuidados de saúde, mas também melhorias na eficiência dos serviços e na qualidade do atendimento oferecido aos pacientes. Conclui-se, portanto, que a telessaúde pode desempenhar um papel fundamental na transformação e aprimoramento do sistema de saúde na atenção primária, desde que sejam adotadas estratégias eficazes e abordagens colaborativas para sua implementação.
Comparative analysis of software used in anonymised search and seizure cases: acquisition, examination and analysis
Authors: Grigollo Fabio Vivan , Fernandes Roberto Fabiano
Published: April 2024

It is discussed that within the production of digital evidence, the use of forensic software to support the acquisition, examination and analysis of evidence in a correct manner plays a role of great importance, mainly to maintain the credibility of evidence and its acceptance in the judiciary. The objective is to evaluate a sample of real judicial search and seizure cases that occurred between 2014 and 2023, presenting the forensic software used in each stage of each evaluated case. A random selection of one case will be made for each year, with anonymised data, to carry out a continuity analysis of the software used. The article seeks to identify whether these software remain in force or whether it has been discontinued, rendered obsolete or replaced over the selected sampling period, The research is structured in operational stages, starting with the selection of cases until the analysis of software continuity, revealing a predominance of software with valid status and indicating a tendency to update technological solutions in the field of digital forensics. The results also highlight the need for periodic reviews of the solutions that exist in the market. Based on the sample analyzed, the software evaluated shows, in their majority, continuity, with 87.5% of the solutions considered current when adding the software in force and replaced. This study contributes to the understanding of the evolution of forensic software by offering details on the status of continuity of such software for the digital evidence production process and the respective credibility of the acceptance of evidence in the judicial environment.
PENGARUH JUMLAH UANG YANG BEREDAR, SUKU BUNGA DAN NILAI TUKAR RUPIAH TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG) PADA BURSA EFEK INDONESIA (BEI) PERIODE 2017-2021
Authors: Jaya Herli , Faitullah Faitullah , Carolina Debi , Kurniati Echi
Published: April 2024

Indeks Harga Saham Gabungan adalah indeks gabungan dari seluruh jenis saham yang tercatat di Bursa Efek Indonesia. Dalam penelitian ini faktor yang menentukan Indeks Harga Saham Gabungan, yang digunakan adalah Jumlah Uang Yang Beredar, Suku Bunga dan Nilai Tukar Rupiah. Penelitian ini bertujuan untuk mengetahui bagaimana perkembangan Jumlah Uang Yang Beredar, Suku Bunga, Nilai Tukar Rupiah terhadap Indeks Harga Saham Gabungan  pada Bursa Efek Indonesia periode 2017-2021, untuk mengetahui bagaimana pengaruh Jumlah Uang yang Beredar, Suku Bunga, dan Nilai Tukar Rupiah terhadap Indeks Harga Saham Gabungan  pada Bursa Efek Indonesia periode 2017-2021 secara Parsial dan Simultan. Locus pada penelitin ini adalah pada Bursa Efek Indonesia periode 2017-2021. Metode analisis yang digunakan dalam penelitian ini adalah metode analisis regresi linier berganda, uji persial dan simultan dengan menggunakan SPSS versi 26.0. Metode analisis yang digunakan yaitu metode deskriptif dan metode verifikatif. Penelitian ini menggunakan data bulanan  periode 2017-2021 pada setiap variabel penelitian. Hasil penelitian menunjukan bahwa secara persial  variabel Jumlah Uang yang Beredar sebesar 6,220 sedangkan nilai taraf nyata 0,05(5%) serta df = n-k-l = 60-3-1 = 56 adalah sebesar 2,003 berpengaruh signifikan terhadap Indeks Harga Saham Gabungan, hasil penelitian menunjukan bahwa secara persial variabel Suku Bunga sebesar 3,409 sedangkan nilai taraf nyata 0,05(5%) serta df = n-k-l = 60-3-1 = 56 adalah sebesar 2,003 berpengaruh signifikan terhadap Indeks Harga Saham Gabungan, hasil penelitian menunjukan bahwa secara persial variabel Nilai Tukar Rupiah sebesar 2,826 sedangkan nilai taraf nyata 0,05(5%) serta df = n-k-l = 60-3-1 = 56 adalah sebesar 2,003 berpengaruh signifikan terhadap Indeks Harga Saham Gabungan dan secara simultan Jumlah Uang Beredar, Suku Bunga dan Nilai Tukar Rupiah berpengaruh terhadap Indeks Harga Saham Gabungan. Hasil uji F telah diketahui bahwa nilai signifikan sebesar 0,000 yang berarti sig. F (0,000) < 0,05, hal ini menunjukkan bahwa variabel bebas memiliki pengaruh yang signifikan terhadap variabel terikat. Oleh karena itu semakin baik Jumlah Uang Beredar, Suku Bunga  dan Nilai Tukar Rupiah  maka akan semakin baik pula Indeks Harga Saham Gabungan yang dihasilkan. Selain itu di ketahui nilai adjusted R square sebesar 32,9% yang berarti pergerakan Indeks Harga Saham Gabungan dipengaruhi oleh Jumlah Uang yang Beredar, Suku Bunga dan Nilai Tukar Rupiah. Sedangkan sisanya sebesar 67,1% kemungkinan dipengaruhi oleh faktor lain yang tidak termasuk dalam penelitian ini. Disarankan untuk mengkaji variabel agar bisa menghasilkan hasil penelitian yang beragam dengan cara menambah variabel lain yang mempengaruhi Indeks Harga Saham Gabungan untuk diteliti.
PENGARUH PENGARUH AGAMA, BUDAYA KERJA, MOTIVASI DAN KONDISI LINGKUNGAN KERJA TERHADAP ETOS KERJA PADA PERUSAHAAN CV. JAKAHARTA PALEMBANG
Authors: Ramadhan Gilang , Utari Dian , Jannah Miftahul
Published: April 2024

Faktor internal yang mempengaruhi etos kerja yaitu usia, jenis kelamin, latar belakang pendidikan, dan lama bekerja. Faktor eksternal yang mempengaruhi etos kerja karyawan yaitu budaya, sosial politik, kondisi lingkungan geografis, dan struktur ekonomi. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana perkembangan keadaan agama, budaya kerja, motivasi dan kondisi lingkungan terhadap etos kerja karyawan CV. Jakaharta Palembang, dan juga untuk mengetahui bagaimana pengaruh agama, budaya kerja, motivasi dan kondisi lingkungan secara parsial dan simultan terhadap  etos kerja karyawan CV. Jakaharta Palembang.  Jumlah populasi dan sampel dalam penelitian ini adalah seluruh karyawan CV. Jakaharta Palembang yang berjumlah 87 Karyawan. Penelitian ini adalah penelitian kuantitatif dan menggunakan regresi linier berganda. Berdasarkan analisa hasil penelitian uji parsial (uji t) menunjukkan agama, budaya kerja, motivasi dan kondisi lingkungan kerja mempunyai pengaruh signifikan terhadap etos kerja pada perusahaan CV. Jakaharta Palembang. Berdasarkan uji simultan (Uji F) dapat diketahui bahwa nilai Fhitung 14,205 > nilai Ftabel 2,72 dan signifikansinya lebih kecil dari 0,05 maka dapat disimpulkan bahwa variabel agama, budaya kerja, motivasi  dan kondisi lingkungan kerja secara bersama–sama berpengaruh signifikan terhadap etos kerja pada perusahaan CV. Jakaharta Palembang. Berdasarkan koefisien  determinasi (R2) nilai Adjusted R Square yang diperoleh adalah 0,830 (83%) berarti bahwa variabel agama, budaya kerja, motivasi dan kondisi lingkungan kerja menjelaskan etos kerja sebesar 83% sedangkan sisanya 17% dapat dijelaskan oleh variabel lain yang tidak diteliti dalam penelitian ini.
Private law forms of exercising opportunities and performing obligations
Authors: Теребунов А.А.
Published: April 2024

В статье рассмотрены основные формы социально-правовых связей, не составляющих содержание правоотношения. К их числу отнесены секундарные права, кредиторские обязанности и обременения. Гарантированное осуществление возможностей и исполнение долженствований в рамках этих и иных частноправовых форм является одной из важнейших задач прокурорского надзора. Нормы частного права направлены на защиту и обеспечение субъективных прав. Но именно на этапе, когда правоотношение еще не возникло и субъективные права еще отсутствуют, у субъектов частного права возникает масса необоснованных препятствий для реализации своих возможностей. Ввиду этого нарушается и сама возможность стать участником гражданских, семейных, жилищных и трудовых отношений.

The article examines the main forms of social and legal relations that do not constitute the content of the legal relationship. These include secondary rights, creditor obligations and encumbrances. Guaranteed implementation of opportunities and fulfillment of obligations within the framework of these and other private legal forms is one of the most important tasks of prosecutorial supervision. The rules of private law are aimed at protecting and ensuring subjective rights. However, precisely at the stage when the legal relationship has not yet arisen and there are still no subjective rights, subjects of private law face many unreasonable obstacles to realizing their capabilities. In view of this, the very possibility of becoming a participant in civil, family, housing and labor relations is violated.
The culture of violence as the basis for the origination of crime in Latin America
Authors: Шестак В.А. , Савенкова П.Г.
Published: April 2024

Актуальной проблемой, присущей латиноамериканскому региону, является высокий уровень преступности. При этом в качестве одной из причин, способствующих развитию данного отрицательного явления в регионе, выделяют укрепляющуюся в обществе культуру насилия и различные формы ее проявления. Несмотря на то, что каждое государство имеет собственные причины преступности, определенные тенденции являются схожими и способствуют общему росту преступности в анализируемом регионе. Целью данной работы является анализ особенностей, присущих обществу латиноамериканского региона, тенденций и культурных направлений, преобладающих в государствах анализируемого региона, а также их влияния на преступность. Выделяется культура насилия как преобладающий в регионе фактор, негативно воздействующий на общество Латинской Америки. При изучении рассматриваемого вопроса авторами использовались как общенаучные, так и частные научные методы, такие как индуктивный и дедуктивный, методы систематизации и обобщения, формально-логический, а также сравнительно-правовой. Авторами были рассмотрены причины, оказывающие воздействие на формирование анализируемой культуры, а также приведены примеры решений, принимаемых государствами, и подходов, направленных на предотвращение, борьбу и минимизацию последствий от преступности.

An urgent problem inherent in the Latin American region is the high level of crime. One of the reasons contributing to the development of this negative phenomenon in the region is the growing culture of violence in society and various forms of its manifestation. Despite the fact that each State has its own causes of crime, certain trends are similar and contribute to the overall increase in crime in the analyzed region. The purpose of this work is to analyze the characteristics inherent in the society of the Latin American region, the trends and cultural trends that prevail in the states of the analyzed region, as well as their impact on crime. The culture of violence is singled out as the predominant factor in the region that negatively affects the society of Latin America. When studying the issue under consideration, the authors used both general scientific and private scientific methods, such as inductive and deductive, methods of systematization and generalization, formal-logical, and comparative-legal. The authors considered the reasons that influence the formation of the analyzed culture, as well as examples of decisions taken by states and approaches aimed at preventing, combating and minimizing the consequences of crime.
Indicators of regional development in the context of economic security of the region
Authors: Минаков А.В. , Эриашвили Н.Д.
Published: April 2024

В числе наиболее важных задач органов региональной власти стоит стимулирование развития регионов, обеспечение экономической безопасности, анализ индикаторов развития. Анализ индикаторов регионального развития позволяет получить представление об уровне экономической безопасности региона и разработать на основе этого анализа стратегии развития, пути повышения качества жизни населения. В рамках статьи представлены теоретические аспекты использования индикаторов регионального развития, проведено сравнение индикаторов развития Республики Татарстан, Удмуртской Республики и Пензенской области (трех регионов, входящих в Приволжский федеральный округ) с применением критериев оценки экономической безопасности региона.

Among the most important tasks of regional authorities is to stimulate the development of regions, ensure economic security, and analyze development indicators. The analysis of regional development indicators provides an idea of the level of economic security of the region and an opportunity to formulate of development strategies based on this analysis, ways to improve the quality of life of the population. The article presents theoretical aspects of the use of regional development indicators, compares the development indicators of the Republic of Tatarstan, the Udmurt Republic and the Penza Region (three regions included in the Volga Federal District) with the use of criteria for assessing the economic security of the region.
International legal regulation of cooperation in recognition and enforcement of sentences (decisions) of courts of foreign states
Authors: Урусов А.А.
Published: April 2024

В статье дано понятие международного договора. Изучено, что такое сотрудничество в сфере признания и исполнения приговоров (решений) иностранных судов в контексте международно-правового регулирования. В статье раскрывается, чем следует руководствоваться при отсутствии соответствующего договора, регламентирующего деятельность государств в сфере признания и исполнения приговоров (решений) судов иностранных государства.

The article gives the concept of an international treaty. It is studied what cooperation is in recognition and enforcement of sentences (decisions) of foreign courts in the context of international legal regulation. The article reveals what should be followed in the absence of an appropriate agreement regulating the activities of states in recognition and enforcement of sentences (decisions) of courts of foreign states.
Topical issues of defining the concepts of Nazism paraphernalia and symbols in the legislation of the Russian Federation
Authors: Шелпаков В.А.
Published: April 2024

В последнее время в деятельности законодательных органов Российской Федерации наблюдается активное противостояние девиантным формам социального поведения, проявляющимся в демонстрации и пропаганде нацистской атрибутики и символики и оправдании нацизма. В статье рассмотрены проблемные вопросы определения понятий нацистской атрибутики и символики в целях более точного отнесения отклоняющегося от нормы поведения к наказуемому органами публичной власти деянию. Приводится аргументированное обоснование необходимости законодательного закрепления понятий и критериев нацистской символики и атрибутики на примере актуальной судебной практики и международного опыта.

Recently, legislative bodies of the Russian Federation prohibit deviant forms of social behavior, which includes the demonstration and propaganda of Nazism paraphernalia and symbols and justification of Nazism. The article deals with problematic issues of defining the concepts of Nazi attributes and symbols in order to more accurately classify behavior deviating from the norm as criminally punishable. The author provides a reasoned justification for the need for legislative consolidation of the concepts and criteria of Nazi symbols and attributes on the example of current judicial practice and international experience.
ANALISIS VARIASI BUSI TERHADAP EMISI GAS BUANG PADA KENDARAAN MOTOR KARBURASI EMPAT TAK
Authors: ‘Aziiz Muhammad Nur , Prasetyo Andi
Published: April 2024

Produksi kendaraan bermotor memiliki dampak yang sangat berpengaruh juga antara lain polusi udara dari emisi gas buang kendaraan yang dihasilkan. Tulisan ini bertujuan untuk mengetahui jenis busi terhadap emisi gas buang pada kendaraan motor karburasi empat langkah keluaran tahun 2013, dan untuk mengetahui busi yang memiliki kualitas proses pembakaran dengan melihat hasil emisi gas buang. Jenis penelitian yang digunakan dalam penelitian ini adalah eksperimen. Hasil penelitian menunjukkan jenis busi terhadap emisi gas buang pada kendaraan motor karburasi empat langkah keluaran tahun 2013 adalah jenis busi pada salah satu perusahaan NGK dengan variasi jenis Standar, Platinum dan Iridium sangat memengaruhi hasil emisi gas buang pada motor karburasi diberbagai RPM yang berbeda-beda.
ANALISA PENGGUNAAN BAHAN BAKAR HASIL OLAHAN DARI SAMPAH PLASTIK DAN BAHAN BAKAR MOBILTM TERHADAP PERFORMA MESIN SEPEDA MOTOR 4 TAK
Authors: Falyanissa Tiara Shalsabila , Susilo Mascuk
Published: April 2024

Dengan semakin banyaknya kebutuhan transportasi masyarakat berupa  mobil  dan  motori, semakin banyak  juga  bahan  bakar  yang dibutuhkan dan semakin meningkat harga BBM  tersebut. Tulisan ini bertujuan untuk mengetahui performa daya dan torsi yang dihasilkan  motor  yang menggunakan bahan bakar hasil olahan dari sampah plastik dan bahan bakar mobil. Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif. Hasil penelitian menunjukkan performa emisi gas buang yang menggunakan bahan bakar hasil olahan TM dari sampah plastik dan bahan bakar Mobil sudah memenuhi standar kualitas emisi gas buang kendaraan.
APRESIASI KARYA SASTRA MELALUI NARASI BESAR ALKITAB: SEBUAH PENERAPAN WAWASAN DUNIA KRISTEN
Authors: PoEh Richard
Published: April 2024

Karya sastra merupakan hasil pemikiran manusia yang penting untuk diperkenalkan kepada para peserta didik mengingat ia dapat digunakan untuk membantu siswa melihat kehidupan dengan cara yang lebih utuh, sehingga dapat membantu siswa menjadi pribadi yang tidak sekadar berpikir praktis, namun juga bijaksana dan dewasa. Dalam proses pembacaan dan kritik atau apresiasi terhadap karya sastra, selalu ada kerangka berpikir dasar yang digunakan. Artikel ini hendak membahas bagaimana wawasan dunia Kristen, dan secara khusus narasi besar Alkitab, dapat menjadi kerangka acuan dalam proses pengajaran dan pemaknaan karya sastra. Hal ini dilakukan dengan menelisik ide-ide penting dari empat narasi besar Alkitab Penciptaan, Kejatuhan, Penebusan, Konsumasi dan menggunakannya untuk mengapresiasi novel Bumi Manusia karya Pramoedya Ananta Toer.
Application Of CGANs (Conditional Generative Adversarial Networks) In Architecture
Authors:   School of Architecture,  IPS Academy, Indore, Pandagre Mayank
Published: April 2024

This research paper delves into the expansive applications of Conditional Generative Adversarial Networks (cGANs) within the realm of architecture. Moving beyond traditional design methodologies, it investigates how cGANs can be employed to generate diverse architectural solutions that are both innovative and contextually responsive. While a portion of the study does focus on a case study involving generative design based on radiation analysis in Indore city, the scope of the research is much broader. It encompasses a comprehensive exploration of the potential of cGANs in various aspects of architectural design and planning. The paper also includes a demonstration of a generative design model, showcasing the capabilities of cGANs in creating optimized design outcomes. The findings underscore the transformative implications of integrating advanced machine learning techniques in architectural practice, heralding a new era of design that is adaptive, sustainable, and forward-thinking.
Enhanced Driver Drowsiness Detection System using Deep Learning and Image Processing Techniques
Authors:   Chandigarh University  Mohali, Punjab, India, Sengupta Saanjh
Published: April 2024

Driver drowsiness remains a critical factor contributing to road accidents worldwide. To address this issue, we present an enhanced driver drowsiness detection system leveraging advanced deep learning and image processing techniques. Our research focuses on developing a robust and accurate model capable of detecting drowsiness indicators in real-time from driver facial images. We conducted a comprehensive review of existing literature on driver drowsiness detection systems and identified key challenges and opportunities in the field. Leveraging this knowledge, we propose a novel methodology that integrates convolutional neural networks (CNNs) for feature extraction and classification, coupled with sophisticated image processing algorithms for facial recognition and eye state analysis. We describe the experimental setup, data collection process, and model training procedures, followed by a detailed presentation of results and performance evaluation metrics. Our findings demonstrate significant improvements in drowsiness detection accuracy, with the proposed system achieving promising results in both laboratory and real-world driving scenarios. The implications of our research extend to the development of more effective driver assistance systems and the enhancement of road safety measures. We conclude by discussing future research directions and potential applications for advancing driver drowsiness detection technology. Keywords— Driver Drowsiness Detection, Deep Learning, Image Processing, Convolutional Neural Networks (CNNs), Facial Recognition, Road Safety, Real-Time Monitoring, Driver Assistance Systems, Accident Prevention
Emerging Opportunities and Potential Areas for Growth in the Indian Direct Selling Industry
Authors:   IIMT Engineering College, Meerut (UP), TOMAR SAHADEV SINGH
Published: April 2024

The Indian Direct Selling Industry, characterized by its dynamic nature and rapid evolution, stands at a critical juncture where emerging opportunities and potential areas for growth beckon. This research paper, based on comprehensive analysis of secondary data sources, seeks to provide a holistic understanding of this industry and its future prospects. The paper commences by assessing the current state of the Indian direct selling industry, analyzing data and reports to delineate its growth trajectory, market size, and prevailing market dynamics. It then delves into an examination of the regulatory framework governing direct selling in India, scrutinizing the Direct Selling Guidelines of 2016, which establish the legal boundaries of industry operations. The core focus of this study is to identify emerging opportunities within the Indian direct selling landscape. The research reveals that the integration of e-commerce platforms, social media as a pivotal marketing tool, and the growing emphasis on sustainability and ethical consumption are key areas of evolution. The industry's adaptation to regional and cultural diversity is also instrumental in tapping into diverse consumer preferences. These emerging opportunities have the potential to reshape the industry's future. The role of sustainability and ethical practices within the direct selling industry takes center stage, demonstrating how responsible business conduct, ethical compensation plans, and a commitment to corporate social responsibility can foster trust and strengthen consumer and direct seller relationships. Finally, the paper provides insights into potential areas for growth and development within the Indian direct selling industry. These areas encompass market expansion into rural regions, digital transformation, product diversification, community impact, and customized approaches to meet regional preferences. In summation, this research paper offers a roadmap for stakeholders in the Indian direct selling industry, from companies and direct sellers to policymakers, by providing a comprehensive analysis of the industry's current state and future potential. As the industry evolves, it is poised to capitalize on these emerging opportunities and growth areas, shaping the future of direct selling in India. Keywords: Direct Selling, e-commerce, sustainability, product diversification.
Cafe Management and Online Food Ordering System
Authors:   Master of Computer Application, Trinity Academy of Engineering, Pune, India, Bari Nikhil
Published: April 2024

The main purpose of the Cafe Management and Online Food Ordering System is to use it in the food-service industry. This feature helps restaurants to increase their online food ordering systems. Customers can choose a wide range of food menu items within just a minutes. In today’s modern food business, it's also helps to deliver fast and easily to a customer’s place. The work presented as Cafe Management and Online Food Order System simplifies the ordering process. The proposed solution presents a user interface and changes the menu to include all available options, creating customer work easier. Allows customers to order any item that they like and adjust the quantity of the food item. The order confirmation is displayed to the customer on the Profile page of the website. The order is put to the queue, updated across the database and the admin panel, and provided in real-time updates. This system aids the staff with checking over orders in real-time and executing them effectively and easily with minimum errors. Keywords: Food, Online, Management, DBMS (Database Management System), Use Case Diagram, Entity Relationship Diagram, Flowchart
A Systematic Literature Survey on A Smart Multidisease Prediction and Doctor Recommendations using ML
Authors:   Department of Information Technology Sinhgad Institute of Technology and Science, Narhe  Pune, India, Kumkar Vivek
Published: April 2024

-Smart multidisease prediction and doc- tor recommendations using machine learning is a growing field of research. The proposed methodol- ogy seeks to deliver precise illness prediction for several diseases, which may have important reper- cussions for enhancing the precision and timeli- ness of medical diagnostics and improving patient outcomes. Machine learning algorithms like Naive Bayesian networks,CNN, KNN are used to properly predict and classify diseases based on patient symp- toms and medical data analysis. Several studies have proposed models that can predict multiple diseases such as diabetes, heart disease, chronic kidney dis- ease, and cancer. The ultimate goal is to provide healthcare practitioners with the tools to make ed- ucated decisions and deliver improved patient care. This paper presents a survey of research papers and articles on the topic of smart multidisease prediction and doctor recommendations using machine learn- ing. Keywords-Machine Learning, CNN, Python- Flask
Visionary Audio Hub using Machine Learning
Authors:   Bannari Amman Institute of Technology  Sathyamangalam, India, S Sujith Kumar
Published: April 2024

Image-to-text-to-speech conversion, powered by machine learning, is an emerging field to transform how we access and engage with information. By integrating optical character recognition (OCR) and text-to-speech (TTS) technologies, machine learning enables the extraction of text from images and its conversion into speech with greater accuracy and efficiency than ever before. This technology holds immense potential to enhance accessibility for a broad spectrum of users, including those with visual impairments, students, tourists, researchers, and musicians. For instance, individuals with visual impairments can use image-to-text-to-speech conversion to access scanned textbooks and course materials in speech format, facilitating easier comprehension and study. Similarly, tourists can leverage this technology to translate foreign language signs and text into speech, aiding navigation in unfamiliar environments. Researchers can benefit from image-to-text-to-speech conversion by extracting data from scientific papers and documents, simplifying analysis and synthesis processes. Moreover, musicians can explore new creative avenues by converting text to speech and manipulating the audio output to innovate musical compositions. Machine learning algorithms play a crucial role in improving the quality and naturalness of synthesized speech in these systems. By considering factors such as language, accent, and prosody, machine learning algorithms generate speech that closely resembles human speech patterns, enhancing clarity and understanding. Keywords— Image-to-text-to-speech conversion, Machine learning, Optical character recognition (OCR), Text-to-speech (TTS) technologies, Accessibility, Naturalness of synthesized speech.
REFINEMENT OF COLLEGE WEBSITE - GCOEC
Authors:   Department of Computer Science and Engineering ,Government college of Engineering Chandrapur, Maharashtra, India, Sahare Prof. Rekha
Published: April 2024

This research paper presents a comprehensive examination of strategies employed to optimize college website infrastructure, with a particular emphasis on the implementation of personalized databases and the enhancement of user interface and user experience (UI/UX) design. Through the utilization of the MERN stack— renowned for its scalability, flexibility, and real-time data processing capabilities—we embarked on a meticulous journey to fortify website security, streamline operations, and elevate user engagement metrics.The research delves into the challenges encountered during the development process, ranging from security vulnerabilities inherent in web applications to scalability concerns amidst increasing server traffic. Through a systematic approach,vulnerabilities were identified, analyzed, and subsequently mitigated, ensuring the robustness andintegrity of the website's security framework. Simultaneously, personalized databases were meticulously crafted for students, teachers, and administrators, facilitating streamlined access to pertinent information and services tailored to individual roles and preferences. Furthermore, significant attention was devoted to enhancing the website's UI/UX design, with the objective of fostering intuitive navigation, accessibility, and aesthetic appeal. By integrating interactive elements, optimizing page load times, and implementing responsive design principles, user satisfaction metrics were notably enhanced, culminating in a more immersive and rewarding digital experience for all stakeholders.The outcomes of this research underscore the tangible benefits derived from the optimization Keywords - Personalized databases,User interface(UI), User experience(UX) design, MERN stack, Real-time data processing.
Academic Admission Process using Machine Learning
Authors:   Department of Artificial intelligence and Machine Learning , Anjuman I Islam Abdul Razzaq Kalsekar  Polytechnique, Panvel, India – 410206, Karande Kirti
Published: April 2024

In the world of education there are students who passed out from 10th standard and want to get admission in Polytechnic college but they don’t have any information about admission process and they go different places for counselling to choose the streams and get the admission in colleges and also they face a problem to select colleges at the time of filling polytechnic admission form, because they don’t know how many percents chances they have to getting admission in the college as per their percentage and college cut off and if they put colleges names in the admission form which cut off is greater than the student’s percentage, they don’t get admission in that colleges. so basically, we create a Diploma Admission process using Machine Learning website which Name is DipEduguide, in this project we give you all information about Diploma Admission process and also create one college predictor model using Machine learning who predict the college and branches names as per student’s percentage. This Machine learning model is very useful, profitable and time saving for the students, if student use this our machine learning model college predictor for their admission, then the chances to get admission in the college will increase. Keywords: Diploma Admission Process, College Predictor model, Machine learning
Analisis Produk Jamu Pegal Linu Yang Beredar Di Kecamatan Kuningan Berdasakan Nomor Registrasi Yang Dikeluarkan BPOM
Authors: Putra Willy Dwigandara , Diputra Angga Anugra
Published: April 2024

Rendahnya pengetahuan masyarakat tentang pengetahuan legalitas produk obat tadisional menjadikan masalah yang mendasar, dengan ditambahnya temuan obat tradisional ilegal yang menjadikan masalah ini menjadi semakin kompleks. Tujuan dilakukan penelitian ini adalah untuk mengetahui jumlah presentase produk jamu pegal linu legal dan ilegal yang beredar di Kecamatan Kuningan. Metode penelitian ini menggunakan metode deskriptif dengan cara pengambilan sampel produk jamu ke toko jamu yang berada di Kecamatan Kuningan. Teknik pengambilan sampel yang digunakan yaitu random sampling dengan menggunakan sampel sebanyak 30 sampel. Data analisis menggunakan software Microsoft Excel dengan presentase. Hasil penelitian yang diperoleh dari 30 sampel produk jamu pegal linu bahwa 10 produk (33%) jamu pegal linu legal, sedangkan 20 produk (67%) jamu pegal linu ilegal. Kesimpulan yang diperoleh bahwa jamu pegal linu yang beredar di Kecamatan Kuningan masih banyak yang ilegal.
ANALISIS KANDUNGAN FORMALIN PADA IKAN ASIN DI PASAR KEPUH KABUPATEN KUNINGAN
Authors: Janah Lilis nur , Priatni Haty Latifah , Wiryani Ani Siti
Published: April 2024

Formalin merupakan bahan beracun dan berbahaya bagi kesehatan tubuh manusia. Formalin tergolong sebagai zat karsinogen yaitu senyawa yang dapat menyebabkan timbulnya kanker, oleh karena itu bahan formalin tidak boleh digunakan baik dalam makanan maupun minuman. Tujuan penelitian ini untuk mengidentifikasi formalin pada ikan asin yang dijual di pasar Kepuh Kabupaten Kuningan. Jenis ikan asin yang digunakan dalam penelitian ini yaitu ikan asin peda , rebon, mujaer, sepat, tanjan dan teri. Sampel yang dipilih dalam penelitian ini yaitu  secara random sampling di Pasar Kepuh Kabupaten Kuningan.  Jenis penelitian yang digunakan yaitu analisis kualitatif metode uji warna menggunakan pereaksi kalium permanganat (KMnO4). Hasil penelitian yang diperoleh untuk semua sampel tidak ada yang terdeteksi mengandung formalin. Berdasarkan hasil tersebut dapat disimpulkan bahwa ikan asin di Pasar Kepuh Kabupaten Kuningan  aman dan dapat digunkan sebagai makanan bagi masyarakat.
Pengaruh Citicoline terhadap Tingkat Keparahan dan Status Fungsional Pasien Stroke Iskemik
Authors: Joenadi Yosefin , Joenadi Dedi
Published: April 2024

Background: Stroke is a cause of long-term mortality, morbidity, and disability. Neuroprotectors, such as citicoline, are a choice for patients not eligible for rTPA. This evidence-based case report aims to look at the association of citicoline with the severity and functional status of ischemic stroke. Method: The search is based on the database Scopus. A total of 191 studies were reviewed, and 3 articles were chosen for critical review: Ghosh, et al, (2015), Martynov, et al, (2013), and Mehta, et al, (2019). Results: Significant differences in functional status measured by the Barthel index and modified Rankin Scale (mRS) and severity measured by the NIHSS. Conclusion: Citicoline has a significant effect on the functional status and severity of an ischemic stroke.
Oftalmopati Graves: Patofisiologi, Diagnosis, dan Manajemen
Authors: Sihombing Meri Estivo , Tallo Nikolaus Lizu
Published: April 2024

Oftalmopati Graves (OG) merupakan penyakit inflamasi jaringan orbita yang terkait dengan penyakit autoimun tiroid. Interaksi kompleks dari faktor endogen (tidak dapat dimodifikasi) dan eksogen atau lingkungan (dapat dimodifikasi) diketahui memicu terjadinya OG. OG dapat memberikan dampak negatif pada kualitas hidup pasien, baik fisik maupun psikososial, dan menjadi beban biaya kesehatan masyarakat. Diagnosis, tata laksana dini, dan rujukan segera ke spesialis terkait sangat penting untuk mencegah progresivitas penyakit.
Crusted Scabies pada Remaja dengan Reaksi Lepra Tipe-2 Steroid-Dependent
Authors: Dwi Vicaria Limyanti
Published: April 2024

Introduction Crusted scabies is more often found in immunocompromised conditions. This disease is also associated with various problems, such as delayed diagnosis, secondary infection, and mortality due to sepsis. Case A 17-year-old boy with itching and scaly skin between fingers and toes for one month. Antifungal therapy resulted in no improvement. The patient has had a history of leprosy reactions when treated with steroids since 2019. Crusted lesions were covered with extensive scales and thick hyperkeratosis between the fingers and toes. There is also leucocytosis. The clinical diagnosis was crusted scabies with a secondary infection. Patient was given clindamycin, cetirizine, 0.9% NaCl compresses, coconut oil, and 5% permethrin. On day 14, lesions improved.
PROBLEMS OF REGISTRATION OF OUTCOMMON BUILDINGS LOCATED ON LAND LOCATED IN STATE OR MUNICIPAL OWNERSHIP
Authors: Rafikova Dinara , Tsapovskaya Olga , Provalova Elena , Ermoshkin Yuri , Erofeev Sergey , Khvostov Nikolay
Published: April 2024

The article analyzes the legal status of real estate objects, namely outbuildings located on land plots owned by the state or municipal, the procedure for their legalization, identifies the problems of law enforcement that arise when registering such real estate objects, as well as possible ways to eliminate them. The article uses statistical data on the Ulyanovsk region, as well as the regulatory framework in force in the territory of the specified region.
PROSPECTS FOR INCREASING THE EFFECTIVENESS OF FOOD PRODUCTION ACTIVITIES IN THE AGRICULTURAL COMPLEX
Authors: Marchenko Alexey , Bayanova Olga
Published: April 2024

The scientific article makes a theoretical review of domestic literature on the problems of increasing the efficiency of food production in agro-industrial production, analyzes the market for agricultural products in conditions of import substitution, pays special attention to the integral efficiency of resource use, organization of infrastructure, considers the problems of ensuring the competitiveness of agro-industrial production in conditions of participation in economic associations. The stages of the technological process for the production of dumplings are revealed, from receiving raw materials and preparing them for use to packaging and selling dumplings. Options for grading when trimming beef and pork meat are presented, while the highest grade of meat assumes the absence of visible inclusions of fatty and connective tissue. A calculation was made of the operating time of equipment for the production of dumplings in the context of each technological operation, taking into account the planned volume of processing and the standard operating hours and productivity of the equipment. The energy consumption, depending on the operating time of the equipment, was determined, and the energy costs were calculated. The costs for the production of dumplings have been grouped, taking into account certain energy costs. The amount of costs is shown in terms of costs per kilogram of dumplings and for the entire planned production in accordance with the production program. The structure of production costs has been determined, in which the largest share is occupied by the costs of raw materials, and the smallest share belongs to the costs of electricity used for production needs. An assessment was made of the economic efficiency of dumpling production: the cost of one kilogram of dumplings, profit, and profitability of the product were determined.