bluuebunny/crossref_metadata_2025 huggingface dataset:
Generative AI in Action: Securing E-Commerce payments and safeguarding consumer purchases from fraud
Authors: Humashankar Vellathur Jaganathan  , Arun Krishnakumar
Published: January 2025

The rapid growth in e-commerce backed by efficient logistics and supply chain infrastructure is reshaping the global marketplace, enabling customers to access goods and services from anywhere easily. Nevertheless, this growth has also resulted in more sophisticated fraud tactics, posing significant risks for businesses and consumers. Fraud detection systems currently struggle to keep pace with evolving cyber threats, emphasizing the necessity for advanced technologies.
Generative Artificial Intelligence (GenAI) is revolutionizing the battle against e-commerce fraud. AI can detect complex fraud patterns, predict potential threats, and address risks in real-time by utilizing advanced techniques like deep learning models, neural networks, and reinforcement learning algorithms.
This study delves into the use of generative AI in e-commerce transactions, focusing on making consumer purchases more secure. It reviews recent research on machine learning (ML)models and fraud detection technologies, showcasing how AI improves security, reduces false positives, and builds user trust. Some of the recent advancements include anomaly detection, combining supervised learning with blockchain, and applying AI to dynamic pricing strategies.
This research also considers the ethical and regulatory challenges of integrating AI into financial systems, highlighting the importance of human oversight and compliance with data privacy laws. A real-world example, such as Alibaba's use of generative AI, is highlighted to demonstrate the impact of GenAI. The study also evaluates the role of AI in protecting payment gateways and preventing online credit card fraud.
An example of a gen AI use case in Alibaba is presented, along with a critical analysis of its impact on payment gateways and the detection of online credit card fraud. Relevant data, visualized using Python, is also included.
Validation of the Maternal and Child Health (MCH) handbook for assessing child developmental status in comparison to the Indonesian pre-screening developmental questionnaire (KPSP)
Authors: Anggit Satriyo Yudhono  , Ahmad Suryawan  , Nining Febriyana
Published: January 2025

Objective: According to data from the Family and Nutrition Health Office of the Karanganyar Health Department in 2022, only 46.54% of health workers utilized instruments for Stimulation, Detection, and Early Intervention for Growth and Development (SDIDTK) to monitor developmental stages. This percentage is significantly lower than the national coverage targets of Stimulation, Detection, and Early Intervention for Growth and Development (SDIDTK) of 85%.

Materials and Methods: This research is a descriptive observational design with a cross-sectional approach, aiming to assess the validity of child developmental status evaluations using the Maternal and Child Health Handbook (MCH Handbook) compared to the Indonesian Indonesian Pre-Screening Developmental Questionnaire (KPSP) as the gold standard.

Results: The results showed that the MCH Handbook has a high sensitivity of 80% and excellent specificity of 96.2%, indicating that it accurately represents 96.2% of normal child developmental status compared to the KPSP as the gold standard. The Positive Predictive Value (PPV) of the MCH Handbook was 84.2%, meaning it correctly identifies 84.2% of children’s developmental status. The Negative Predictive Value (NPV) was 95%, accurately reflecting 95% of normal developmental status.

Conclusions: The MCH Handbook is validated as a reliable instrument for assessing child development.
Intelligent systems for arms base identification: A survey on YOLOv3 and deep learning approaches for real-time weapon detection
Authors: Kavitha Soppari  , Muhammad Abul Kalam  , SriSudha Garugu  , Dinesh Mannem  , Aravind Pagidimari  , Poojitha Aluvala
Published: January 2025

Weapon detection using computer vision is a crucial component of modern security systems, ensuring the safety of public spaces by identifying dangerous objects like firearms and knives. With advancements in artificial intelligence, particularly in deep learning, weapon detection systems can now operate in real-time, providing faster and more accurate results than ever before. In this work, we propose the development of a cloud-based weapon detection system that leverages deep learning techniques, such as YOLO (You Only Look Once), to detect weapons in images and video streams. The system is designed to process both static and dynamic visual data, providing real-time alerts and detailed monitoring for security personnel. The system will be equipped with an object detection pipeline that incorporates pre-trained models to identify weapons and monitor their presence across various environments. This allow for easy tracking and auditing of security incidents. By implementing this weapon detection system, organizations can significantly improve their security measures, providing faster identification of threats and reducing the risk of violence in sensitive areas.
Gender equality within the sports legal framework: A comprehensive analysis and future perspectives
Authors: Francesco Ernesto Alessi Longa
Published: January 2025

Gender equality within the realm of sport has become an increasingly prominent issue in discussions surrounding social and economic disparities. Despite notable advancements in international, European, and national legislation, gender-based discrimination persists across various domains, including representation, opportunities, and financial resources. This article delves into the legal infrastructure that underpins gender equality within the sports legal system, analyzing relevant international frameworks, as well as initiatives from European and national bodies. The article further explores the ongoing challenges faced by female athletes, such as wage gaps, media visibility, and career progression. A key focus is placed on efforts to foster inclusivity and equality, particularly through awareness-raising campaigns and policies aimed at supporting women in sport. The article concludes by offering a critical reflection on the gradual pace of change and underscores the necessity for collective action in dismantling the cultural barriers that continue to hinder the full participation and representation of women in sport.
Acute motor axonal neuropathy: features of diagnosis, treatment and rehabilitation
Authors: Voitenkov V. B. , Samojlova I. G. , Skripchenko E. Yu. , Cherkashina I. V. , Klimkin A. V. , Irikova M. A. , Verbenko P. S.
Published: January 2025

Acute axonal motor neuropathy (AMAN) is an axonal variant of Guillain-Barré syndrome, characterized by acute damage of motor fibers of peripheral nerves. In the acute period, therapy involves the use of specific and nonspecific methods. Specific methods include operations of high-volume program plasmapheresis and courses of high-dose intravenous immunotherapy with immunoglobulin class G preparations. Nonspecific methods consist of symptomatic therapy. It is very important to start rehabilitation treatment with a multidisciplinary team of specialists as early as possible in the period of reconvalescence.
Validation of Russian version of Amyotrophic Lateral Sclerosis Impairment Multidomain Scale
Authors: Pervushina E. V. , Kutlubaev M. A. , Smakova L. A.
Published: January 2025

Motor impairment, bulbar palsy and respiratory insufficiency represent main presentation of amyotrophic lateral sclerosis (ALS). The rate of symptom worsening reflects progression of the disease.The objective: to analyze the reliability of the Russian-language version of the “ALS Impairment Multi-Domain Scale” (AIMS).Material and methods. The study was conducted on a sample of 50 people with ALS. The reliability of the scale was analyzed, including internal consistency, retest and inter-expert reliability, and convergent validity in relation to ALS Functional Rating Scale — Revised (ALSFRS-R).Results. AIMS has demonstrated excellent internal consistency, high retest and inter-expert reliability, and convergent validity. Compared with the ALSFRS-R, AIMS had smaller ceiling and floor effects.Conclusion. The Russian-language version of AIMS is a reliable tool for the evaluation of severity of neurological deficit in patients with ALS and for the assessment of the disease progression rate.
Encephalomyelitis associated with antibodies to myelin oligodendrocyte glycoprotein
Authors: Raevskaya A. I. , Geryushenko M. E. , Metkalova D. D. , Vyshlova I. A. , Karpov S. M.
Published: January 2025

Encephalomyelitis associated with antibodies to myelin oligodendrocyte glycoprotein (MOG) is a rare inflammatory demyelinating disease of the central nervous system.Purpose: to review domestic and foreign works examining the issues of etiology, pathogenesis, clinical picture and differential diagnosis of demyelinating diseases of the central nervous system; to present a clinical case of a patient with encephalomyelitis associated with antibodies to MOG.Results. The article describes the disease in a 24-year-old female patient with a primary diagnosis of multiple sclerosis. Given the activity of the process and the ineffectiveness of the therapy, 5 years after the onset of the disease, antibodies to GOM were examined in the patient’s blood and found, a diagnosis of encephalomyelitis associated with antibodies to GOM was established, and therapy with rituximab was prescribed according to the scheme. Positive dynamics in the form of persistent remission of the disease was noted. The most important element of accurate diagnostics of GOM-IgG-associated diseases is the detection of pathogenic serum antibodies to GOM using specific and sensitive methods, preferably using optimized cellular analysis. Neuroimaging helps to conduct differential diagnostics with other neuroinflammatory diseases.Conclusion. MOG-demyelinating diseases are a pressing problem in modern neurology, requiring further study and development of effective diagnostic and treatment methods.
KUALITAS PELAYANAN : MODERNISASI SISTEM ADMINISTRASI PERPAJAKAN, SANKSI PERPAJAKAN DAN KEPATUHAN WAJIB PAJAK
Authors: Rejeki Dewi
Published: January 2025

Tujuan dalam penelitian adalah untuk menguji dan menganalisis Dampak Moderasi Kualitas Pelayanan Atas Pengaruh Mordenisasi Sistem Administrasi Perpajakan dan Sanksi Perpajakan Terhadap Kepatuhan Wajib Pajak Pada  KPP Di Bekasi Selatan. Metode yang digunakan dalam penelitian ini menggunakan metode kuantitatif dengan data primer yang dikumpulkan melalui penyebaran kuisoner ke masyarakat yang sudah wajib   membayar pajak di wilayah Bekasi Selatan dengan jumlah responden dalam penelitian ini berjumlah 100 responden. Berdasarkan hasil analisis penelitian ini dapat diketahui bahwa Variabel X1 yaitu Modernisasi  Sistem Administrasi Perpajakan, Variabel X2 yaitu Sanksi Perpajakan dan Variabel Z yaitu Kualitas Pelayan secara persial menunjukan hasil yang sama yaitu berpengaruh signifikan terhadap kepatuhan wajib pajak orang pribadi. Namun pada Variabel Z yaitu Kualitas Pelayanan secara MRA (Moderated Regression Analysis) tidak memoderasi dalam Modernisasi Sistem Administrasi Pepajakan dan Sanksi Perpajakan terhadap Kepatuhan Wajib Pajak Orang Pribadi.
INDEKS HARGA SAHAM GABUNGAN PADA BURSA EFEK INDONESIA : KAJIAN TERHADAP SUKU BUNGA ( BI RATE)
Authors: Nurwanto Nurwanto , Suryati Adelina
Published: January 2025

Tujuan dalam penelitian adalah untuk menguji dan mengetahui bagaimana pengaruh suku bunga ( BI rate) terhadap indeks harga saham gabungan pada bursa efek indonesia tahun 2021 – 2023, adapun metode penelitian yang digunakan pada peineilitian ini meiruipakan peineilitian  kuiantitaif. Peineilitian ini  meingguinakan meitodei kuiantitatif kareina  peineilitian meingguinakan  datanya beiruipa angka – angka ataui statistik teirstruiktuir dilakuikan pada peiruisahaan manuifaktuir yang bergerak pada  industri makanan dan minuman yang terdata di Bursa Efek Indoneisia (BEI) periode 2021- 2023. Data yang digunakan dalam peneilitian ini yakni bersifat kumulatif sesuai dengan pelaporan perusahaan di Indonesia Stock exchange (IDX) dengan waktu penelitian dimulai dari bulan Mei sampai dengan Juli 2024. Beirdasarkan hasil peineilitian teintang suku bunga /BI Ratei teirhadap indeiks harga saham  gabungan yang teilah dilakukan, meinyatakan bahwa suku bunga/BI Ratei meimpunyai peingaruh dan signifikan teirhadap indeiks harga saham gabungan pada Bursa EIfeik Indoneisia dari tahun 2021 sampai deingan tahun 2023,  Meimpunyai nilai pair valuei meinggunakan uji t seibeisar 0, 006 < 0.05.
KINERJA KEUANGAN PERUSAHAAN: KAJIAN PADA STRUKTUR KEPEMILIKAN DAN UKURAN PERUSAHAAN
Authors: Loen Mishelei
Published: January 2025

Penilitian ini bertujuan untuk mengetahui struktur kepemilikan dan ukuran perusahaan terhadap kinerja keuangan. Penelitian ini dilakukan dengan menggunakan pendekatan kuantitatif. Populasi dalam penelitian ini adalah seluruh perusahaan food and beverage pada periode 2020 - 2023  yang terdaftar di Bursa Efek Indonesia (BEI) yang berjumlah 32 perusahaan. Penelitian ini menggunakan metode purposive sampling. Hasil dari penelitian ini menunjukan bahwa Kepemilikan institusional dan ukuran perusahaan memeliki pengaruh terhadap kinerja keuangan. Sedangkan kepemilikan manajaerial tidak memiliki pengaruh terhadap kinerja keuangan. Implikasi penelitian ini diharapkan dapat memberikan suatu manfaat bagi perusahaan sebagai bahan pertimbangan bagi manajer dalam pengambilan keputusan agar tujuan perusahaan untuk meningkatkan kinerja keuangan perusahaan dapat tercapai.
Penggunaan Bahasa Indonesia dalam Transaksi Internasional di Arab Saudi
Authors: Kurniawati Wati , Karsana Deni
Published: January 2025

Bahasa Indonesia merupakan bahasa resmi dalam sidang UNESCO pada tanggal 20 November 2023. Bahasa Indonesia digunakan juga dalam perdagangan internasional, seperti di Arab Saudi. Interaksi antara orang Arab dan Indonesia melalui komunikasi bahasa Indonesia. Dalam komunikasi terdapat unsur profit dan biaya. Model ini dilakukan para pedagang dalam menawarkan barang yang dijual kepada jemaah haji dan umrah dari Indonesia. Penelitian ini bertujuan untuk mengidentifikasi penggunaan bahasa Indonesia pada ranah transaksi di Kota Mekkah dan Madinah. Metode yang digunakan adalah metode kualitatif dengan teknik observasi dan catat. Pengambilan sampel dilakukan dengan teknik acak, yaitu wakil populasi yang diteliti, seperti para pedagang (penduduk lokal Arab) dan non-Arab (pekerja) yang terdiri atas orang India, Pakistan, Yaman, dan Banglades. Temuan penelitian menunjukkan bahwa bahasa Indonesia digunakan dalam ranah transaksi di pertokoan sekitar Masjidil Haram dan Masjid Nabawi berupa kata, frasa, dan kalimat sederhana, contoh: asalamualaikum, apa kabar, Indonesia bagus, haji, hajah, ayo belanja, berapa peci ini, lima rial, tidak mahal, diskon, murah-murah, dan halal. Sikap para pedagang dan pekerja terhadap bahasa Indonesia termasuk positif.
Sastra: Mengkritik dengan Bahasa yang Estetik Analisis Kritik Sosial dalam Naskah Drama Senandung Semenanjung Karya Wisran Hadi
Authors: Saputri Nella Novriyanti
Published: January 2025

Masyarakat sudah semakin kritis dan mampu mengungkapkan ktirik secara langsung maupun melalui media sosial. Akan tetapi saat ini kritik cenderung diungkapkan dengan bahasa yang kasar. Padahal mengkritik dapat dilakukan dengan kalimat yang berkelas melalui karya sastra. Masalah dalam penelitian ini adalah kritik sosial yang terdapat dalam naskah drama Senandung Semenanjung karya Wisran Hadi. Tujuan penelitian ini adalah untuk mendeskripsikan kritik sosial yang terdapat dalam naskah drama tersebut. Jenis penelitian ini adalah penelitian kualitatif. Metode yang digunakan dalam penelitian ini adalah metode deskriptif. Pengumpulan data dalam penelitian ini dilakukan dengan cara membaca dan memahami naskah drama, mencatat kata, frasa, klausa, maupun kalimat tokoh yang mengindikasikan kritik sosial dalam naskah drama, dan menginventarisasi data kritik sosial berdasarkan format inventaris data yang telah disiapkan. Dari hasil penelitian ditemukan memuat kritik terhadap adat, kritik terhadap seni, kritik terhadap disorganisasi keluarga, kritik terhadap perpecahan, dan kritik terhadap kekuasaan.
Pengaruh Teknologi Digital terhadap Perilaku Komunikasi Digital Native di Indonesia
Authors: Aisyah Nisa , Habibie Muhammad Tri
Published: January 2025

Sebagai generasi pertama yang lahir di era revolusi industri 4.0, digital native tumbuh di tengah kehidupan yang setiap aspeknya memiliki keterhubungan dengan teknologi digital. Tidak hanya terbiasa menggunakan peralatan berbasis digital dalam kesehariannya, digital native juga memiliki tingkat keterpaparan informasi yang tinggi, serta lebih suka menggunakan layanan teknologi untuk berkomunikasi dan berinteraksi. Jika merujuk pada teori determinisme teknologi McLuhan, kenyataan tersebut menunjukkan bahwa keberadaan teknologi digital telah membentuk pola hidup baru yang mempengaruhi cara berpikir dalam memproses informasi, serta membentuk perilaku yang termanifestasi dalam pola komunikasi yang digunakan. Dengan menggunakan metode penelitian kualitatif, penelitian ini bertujuan menganalisis pengaruh teknologi digital terhadap perilaku komunikasi digital native di Indonesia. Bagaimana keberadaan teknologi digital berhasil mendobrak batas antar manusia, serta memberikan akses informasi dan pengetahuan yang setara. Namun di sisi lain, ada fenomena dalam perilaku komunikasi digital native yang perlu mendapatkan perhatian dan penanganan, diantaranya digital minded, digital addiction, dan lainnya.
Model Strategi Tindak Tutur Tokoh Politik dalam Wacana Pembangunan Pendidikan: Sebuah Pendekatan Pragmatik Interpersonal
Authors: Mardiana Dina , Rokhman Fathur , Rustono Rustono , Mardikantoro Hari Bakti
Published: January 2025

Pentingnya merumuskan sebuah konsepsi ilmiah model strategi tindak tutur tokoh politik dalam wacana pembangunan pendidikan sebagai acuan para tokoh politik dalam bertindak tutur sesuai kapasitasnya pada konteks pendidikan. Tujuan penelitian ini adalah untuk menemukan model strategi tindak tutur tokoh politik dalam wacana pembangunan pendidikan. Penelitian ini dilaksanakan dengan menggunakan ancangan pragmalinguistik dan metode R&D dengan model pengembangan ADDIE. Guna menganalisis dan mengevaluasi tuturan tokoh politik dalam wacana pembangunan pendidikan diterapkan pendekatan pragmatik interpersonal. Data dikumpulkan melalui kegiatan observasi pada dokumentasi rekaman rapat kerja Komisi X DPR-RI dan rekaman tayangan berita televisi pada kanal youtube. Hasil penelitian menemukan 66 data tuturan tokoh politik dalam wacana pembangunan pendidikan yang dianalisis secara pragmatik interpersonal untuk selanjutnya dikembangkan sebagai model strategi tindak tutur tokoh politik dalam wacana pembangunan pendidikan. Model strategi tindak tutur tersebut mencakupi penggunaan prinsip kerja sama berbahasa, prinsip kesantunan berbahasa, strategi kesantunan berbahasa, dan strategi retorik interpersonal.
Analisis Wacana Kritis terhadap Konstruksi Identitas Perempuan dalam Lagu Satu Bulan: Perspektif Feminisme Poskolonial
Authors: Kurniadi Fajar , Supratno Haris , Sudikan Setya Yuwana
Published: January 2025

Lagu populer memiliki peran penting dalam membentuk dan mereproduksi konstruksi sosial, termasuk identitas gender. Dalam penelitian ini, dilakukan analisis wacana kritis terhadap lagu "Satu Bulan" dengan pendekatan feminisme poskolonial untuk mengungkap bagaimana lagu tersebut membangun identitas perempuan. Tujuan dari analisis ini adalah untuk mengidentifikasi representasi perempuan yang dominan dalam lirik lagu, serta bagaimana representasi tersebut berinteraksi dengan kuasa, kekuasaan, dan dinamika sosial-budaya yang lebih luas. Metode penelitian yang digunakan melibatkan analisis wacana kritis yang difokuskan pada lirik lagu, konteks produksi, dan respons pendengar. Diharapkan hasil penelitian ini dapat memberikan pemahaman yang lebih mendalam tentang bagaimana media populer seperti lagu dapat memperkuat atau menantang norma-norma gender yang ada, serta implikasinya bagi perempuan dalam konteks masyarakat Indonesia yang masih terpengaruh oleh warisan kolonial. Penelitian ini diharapkan dapat memberikan kontribusi yang berharga dalam memahami bagaimana budaya populer dapat memengaruhi pandangan dan perilaku sehari-hari terkait dengan identitas gender. Penelitian ini juga dapat menjadi pijakan untuk refleksi lebih lanjut tentang bagaimana masyarakat dapat terus bergerak menuju kesetaraan gender yang lebih inklusif dan adil.
Analisis Nilai Budaya Cerita "Di Buto Makan Rembulan" sebagai Potensi Bahan Ajar Pemelajar BIPA Anak
Authors: Rizkita Putri Dwi , Yulianneta Yulianneta , Widia Ida
Published: January 2025

Menurut Kemendikbudristek, hingga 2023, ada 172 ribu pemelajar BIPA di 54 negara. Di antaranya terdapat juga pemelajar BIPA anak-anak. Tidak dipungkiri sastra anak memiliki peran penting dalam pengembangan bahasa dan kreativitas pada pemelajar BIPA (Bahasa Indonesia untuk Penutur Asing) anak-anak. Karya sastra anak menyediakan berbagai tema yang relevan dengan kehidupan sehari-hari, seperti persahabatan, kejujuran, dan keberanian, sehingga anak-anak dapat mengaitkan pembelajaran bahasa dengan pengalaman nyata dan juga cerita yang bermuatan budaya ciri khas Indonesia. Menjadikan sastra anak ini menjadi sala satu media untuk mengajarkan sekaligus mengenalkan Indonesia kepada pemelajar asing khususnya pemelajar anak-anak. Penelitian ini membahas peran sastra anak dalam pembelajaran Bahasa Indonesia bagi Penutur Asing (BIPA) di kalangan anak-anak, dengan fokus pada karya sastra, yaitu "Dik Buto Makan Rembulan" karya Zulfa Adiputri. Melalui analisis lintas budaya, penelitian ini mengidentifikasi nilai-nilai tradisi dan budaya yang terdapat dalam cerita tersebut, serta relevansinya bagi pemelajar BIPA. Cerita rakyat dan dongeng Indonesia tidak hanya memperkenalkan kosakata baru, tetapi juga memberikan wawasan tentang norma sosial dan kearifan lokal. Penelitian ini menunjukkan bagaimana sastra anak dapat berfungsi sebagai alat untuk meningkatkan pemahaman bahasa dan memperkaya pengalaman belajar, serta memperkenalkan budaya Indonesia kepada pemelajar asing.
Mahasiswa Membutuhkan Pembelajaran Berbasis Hybird Learning Pascamasa Pandemi Covid-19
Authors: Jayanti Memmy Dwi , Muharomah Siti , Rohmah Lulu’Ur
Published: January 2025

Universitas Indraprasta PGRI Jakarta memfasilitasi mahasiswa untuk mendapatkan pembelajaran serta bahan ajar melalui internet dengan cara belajar di rumah selain belajar tatap muka langsung. Situasi ini diharapkan dapat membangkitkan kembali prinsip dalam pilar pendidikan agar mahasiswa dapat belajar untuk tahu, belajar melakukan sesuatu hal, dan belajar untuk menjadi sesuatu dengan mencari sumber belajar terpercaya. Dalam penelitian ini menggunakan metode campuran paralel konvergen dan pendekatan kualitatif untuk melakukan survei dalam analisis data. Hasil penelitian dapat disimpulkan bahwa mahasiswa membutuhkan model pembelajaran hybrid, selanjutnya kebutuhan dan persepsi mahasiswa terhadap model pembelajaran hybird akan menjadi dasar untuk mengembangkan model pembelajaran bagi mahasiswa serta dapat dijadikan bahan evaluasi bagi dosen terhadap pembelajaran hybird yang telah dilakukan.
Pemikiran Humanis Leo Tolstoy pada Deskripsi Tokoh dalam Novel Anna Karenina
Authors: Christianto Carissa Natalie , Sulistijani Endang , Hapsari Sangaji Niken
Published: January 2025

Novel adalah cerminan atau gambaran kehidupan Masyarakat yang dideskripsikan oleh pengarangnya. Penelitian ini bertujuan mengetahui pandangan dunia pengarang yaitu pemikiran2 Tolstoy tentang humanis melalui deskripsi penokohan dalam novelnya Anna Karenina. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Teknik penelitian yang digunakan adalah analisis isi. Hasil penelitian ini menunjukkan bahwa wujud nilai humanis yang terkandung dalam novel Anna Karenina terdiri dari perilaku benar berjumlah 14.53%, perdamaian berjumlah 2.56%, kebenaran berjumlah 41.88%, cinta berjumlah 30.77%, Non-kekerasan berjumlah 2.56%, dan Kecerdasan Sosial berjumlah 7.7%. Hasilnya, wujud nilai humanis yang mendominasi novel Anna Karenina karya Leo Tolstoy adalah nilai humanis dengan jenis kebenaran sebanyak 41.88% dari keseluruhan temuan berjumlah 100%. Dari penelitian tersebut diperoleh hasil bahwa pemikiran Tolstoy tentang humanis adalah bagaimana hubungan antarsesama manusia mengarah pada kebenaran, kejujuran, berperilaku benar, dan selalu mengutamakan kasih atau cinta
Etika Komunikasi Islami untuk Membangun Pendidikan Berkualitas di Sekolah
Authors: Dalmeri Dalmeri , Nuriah Yuyun , Supadi Supadi
Published: January 2025

Trend perkembangan teknologi informasi dengan New Media yang berbasis Big Data memicu banyaknya tindakan yang mengabaikan etika dalam aktivitas komunikasi pada proses belajar mengajar di sekolah negeri maupun swasta. Tindakan ini menjadi tantangan untuk peningkatan kualitas pendidikan dari aspek sumber daya manusia. Terdapat berbagai macam perilaku negatif peserta didik baik secara individu maupun berkelompok pada pelaksanaan Kurikulum Merdeka yang tidak mengikuti perkembangan kreativitas peserta didik. Tulisan ini bertujuan mengkaji etika komunikasi Islami dalam proses belajar mengajar di Sekolah Al-Fityan School Tanggerang. Penelitian etika komunikasi Islami penting ditindak lanjuti untuk menjaga pendidikan berkualitas dalam konteks pembangunan berkelanjutan. Penelitian ini menggunakan pendekatan kualitatif dengan pola Action Research serta melakukan Partisipant Obervasion untuk menghimpun data-data yang berkenaan dengan etika komunikasi yang Islami, kemudian penulis analisis dan simpulkan sebagai solusi yang diberikan kepada Sekolah Al-Fityan School Tanggerang dalam membina etika komunikasi Islami yang baik. Hasil penelitian ini menunjukkan bahwa, guru berperan penting dalam membina etika komunikasi secara islami yakni (1) Komunikasi yang dasar pada kebenaran dan kesabaran, (2) Guru mengajarkan filterisasi kepada peserta didik dalam menerima informasi dari media sosial, (3) Guru mendidik siswanya menghindari sikap saling olok atau bullying, (4) Guru memerankan dalam berkomunikasi dengan cara dan bahasa yang baik.
Global Reform - Population Health Management Higher Expert Medical Science Safety
Authors: Henry James Andrew
Published: January 2025

Introduction Global Human Phenotype Ontologies (HPO) in a Memorandum of Understanding (MoU) for AI infrastructure is a US and UK priority. The NHS Act of 1946 and the Medicare and Medicaid Act of 1965 may classify primary care with genomics, supporting international Population Health Management (PHM) HPO reform. Higher Expert Medical Science Safety (HEMSS) proposes NHSE genomics and biobank agile group developers. HEMSS strategy executes the PHM of HPO, through digital records and pilot’s citizen predictor pre-eXams and precise eXam intercept classifications that continuously improve public safety.Method With PHM reform, there are Biobank opportunities for Value-Based Care (VBC), which stratifies genomics and socio-environmental factors known to risk HPO pathology which enable segmentation of real-world instances. The author evaluates a standard approach to PHM with mature and advanced interoperable standards and tools. A toolkit approach for reform aligns adversarial, neural, and transformer models for Generative AI, utilizing multimodal data with nuances on fairness in future Artificial General Intelligence.Recommendations The recommendations depict a HEMSS cycle of steps from wellbeing evaluations to PHM strategy for HPO in the UK-US. Concepts involve pilots scaling up neighbourhood clinics and scaling out federal centers through reform classifications. Plans for citizen privacy facilitate data use with access to reference biobanks, ensuring DNA democratization and national cybersecurity. UK NHSE corporate governance and US federal authorities monitor and reform Integrated Care Board assessments and Centers for Medicare and Medicaid Services surveys with agile methods.Discussion The UK-US MoU for AI safety is an international PHM ideal, creating a safe space for HPO adherence to predictive and interceptive adoptions for health and socioeconomic growth. HEMSS Agile Group Development impacts ethical and societal primary care debates. HEMSS discussions for global public health inclusiveness and national engagement aim to govern classification phases for adherence. Debates on UK-US accreditation or regulation in the future of Artificial General Intelligence follow.Conclusion The author concludes on the Population Health Management Higher Expert Medical Science Safety Agile Group Development programme proposal. The UK and US governments benefit from the proposition, while the World Health Organisation may sustain international goals for wellbeing and socioeconomic growth.
Population Health Management Genomics Newborn Screens with Multi-omics Intercepts
Authors: Henry James Andrew
Published: January 2025

IntroductionThe Population Health Management (PHM) Genomic Newborn Screens (GNBS) and Multi-omics intercepts for Human Phenotype Ontology (HPO) with Federated Data Platforms (FDP) present a groundbreaking innovation in global health. UK Genomic Medical Services (GMS) for digital child health evolves through "The Generation Study," aimed at reducing infant mortality by intercepting over two hundred rare disease conditions for a lifetime of public health and personalized plans.MethodAn ecosystem approach to a diverse pangenome evaluates HPO health predictors or confirms diagnoses in pre-eXams. GNBS establish a standard of care to stratify risk by aligning blood spot and blood cell diagnostics. The understanding of rare diseases is enhanced in primary care medicine, with biomedical and haematology diagnoses re-evaluated. Scientific proof of concept and fit-for-purpose technology align multi-omics in pre-eXams (X=Gen AI).RecommendationsThe Digital Regulation Service (DRS) agile group of experts develops medical science with HPO for disease segmentation, scheduling accurate eXam intercepts at points of need. Actions strategize regulation services for digital HPO eXam assurance and plan Higher Expert Medical Science Safety (HEMSS) with agile groups. A DRS oversees gene, oligonucleotide, and recombinant protein intercepts, and commissions blood pathology HPO eXam intercepts while monitoring pre-eXam-eXams with imaging.DiscussionFor the PHM of HPO excellence, HEMSS with Agile Group Development builds on GNBS with multi-omics to realize personalized plans for NHSE Genomics with AI DRS. The author extends GNBS predictors and intercepts debates for AIDRS HPO pre-eXams-eXams for public health and patient safety. Discussions cover structured HPO knowledge from newborn health, ethics, family privacy, benefits, and limitations of pre-eXam screens and life eXam intercept. Throughout the AIDRS debate with stakeholder to adopt HPO X through AHSN-GEP clinical pathway process initiatives and agreements.Conclusion"The Generation Study" exemplifies digital child health in a lifecycle of HPO-X-Gen-AI predictor and intercept, progressing from trusted research heralding quality lifecycles through evidence-based discovery. An NHS Constitution for ontology risk stratification with fit-for-future analytics becomes a standard personalized practice for intercepts. Higher Expert Medical Science Safety governance continues in a subsequent manuscript, PHM Fit Lifecycles in Future Analytics, developing neighbourhood points of need for Our Future Health.
Rise of the Most Excellent Scholar, Demise of the Field: A Fictional Story, Yet Probable Destiny
Authors: Orhan Mehmet A. , Bal P. Matthijs , van Rossenberg Yvonne
Published: January 2025

This article presents a fictional narrative about Professor Sackker, the solitary researcher in the field of Sackker Studies, once known as Management and Organizational Studies. Despite its absurdity, the story portrays Sackker’s dominance, marked by his inevitable rise with record-breaking publications and citations, stifling competition, and leaving him as the ultimate winner and ruler. Through personal reflections, his story explores his career strategies, provides insights into his success, and explains how he shaped, transformed, and eventually (but unwittingly) destroyed the field. This narrative, though fictional, mirrors real concerns in today’s reality: growing inequalities, the dominance of elite scholars, and erosion of meaning in academic careers as a function of hyper-competition. We examine the prevalence of systemic issues plaguing academia. Despite challenges, the article also aims to inspire hope. By illuminating these problems and integrating them into scholarly discussions, there lies an opportunity for change, empowering the next generation of academics.
Support Vector Classifiers in scikit-learn: Mathematical Detail, Part IV
Authors: Prentice Justin S.C.
Published: January 2025

We present mathematical detail pertaining to the one-class support vector machine, as used in scikit-learn, which can be used to identify outliers in an unlabeled dataset. We construct the primal problem, from which we derive the dual problem. We discuss the nature of the decision surface. We include an illustrative numerical example. The paper is the fourth in a series and is intended to be educational in nature.Tunawasilisha maelezo ya hisabati yanayohusiana na mashine ya vekta ya usaidizi ya darasa moja, kama inavyotumika katika kujifunza kwa scikit, ambayo inaweza kutumika kutambua bidhaa za nje katika mkusanyiko wa data usio na lebo. Tunaunda shida ya msingi, ambayo tunapata shida mbili. Tunajadili asili ya uso wa uamuzi. Tunajumuisha mfano wa nambari wa kielelezo. Karatasi ni ya nne katika mfululizo na inakusudiwa kuwa ya elimu kwa asili.(Translation into Swahili provided by Google Translate).
Investigating the Origins of SARS-CoV-2: AI-Driven Functional Genomics and Probabilistic Evolutionary Analysis
Authors: Luellen Eric
Published: January 2025

This study integrates machine learning-driven functional genomics and evolutionary probabilistic modeling to investigate the origins of SARS-CoV-2, focusing on nine critical amino acid substitutions in the ORF1ab gene essential for viral replication. Building on Luellen's (2022) findings, these substitutions were identified as predicting 99% of the difference in infectability between 68 species and humans across 365 SARS-CoV-2 variants from 65 global locations, suggesting pandemic potential. The simultaneous occurrence of all nine amino acid substitutions in the highly conserved ORF1ab region of SARS-CoV-2, which enables efficient animal-to-human transmission, underscores the extraordinary spontaneity and pivotal role of these substitutions in the virus's emergence as a human pathogen. Using probabilistic modeling of mutation rate estimates of 1.8 × 10⁻³ for moderately conserved sites, 1 × 10⁻⁴ for highly conserved sites, and a mixed estimate for three moderately conserved site and six highly conserved sites, the analysis revealed that these substitutions would require approximately 15,000, 270,000, and 185,000 years, respectively, to occur naturally. This timeline is incompatible with the documented emergence of SARS-CoV-2 across the last four months of 2019, particularly in the absence of zoonotic intermediates or genetic evidence of stepwise evolution. Despite extensive investigations, no evidence of stepwise zoonotic evolution or intermediate hosts has been identified, unlike in previous coronavirus outbreaks, such as those involving SARS-CoV and MERS-CoV. These findings highlight the improbability of a natural origin under any evolutionary scenario and call for investigation into alternative explanations.
Feasibility of Time-Lapse Surface Seismic for CO2 Monitoring: A Case Study from the Decatur CCS Site, Illinois, United States
Authors: Bhattacharya Shuvajit , Swaminadhan Sujith , Bakhshian Sahar
Published: January 2025

We study the feasibility of time-lapse surface seismic to detect and monitor CO2 plume movement over the time at the onshore Decatur CCS site, United States. We develop and test a workflow, integrating results from subsurface characterization, dynamic flow simulation, rock physics, time-lapse fluid saturation logs, and operational information to model surface seismic responses of the CO2-saturated Mt. Simon sandstone reservoir over the time. We perform fluid substitution modeling under both uniform and patchy mixing conditions. Results show that 4D surface seismic responses for the Mt. Simon reservoir are weak under the historic 1 Mt of CO2 injection, regardless of rock physics modeling constraints. Our modeled data under a hypothetical 10 Mt of CO2 injection improves the detectability of 4D surface seismic to detect CO2 plume boundary.
Enhancing Power Density through Electrode Configuration for Piezomems Energy Harvester
Authors: Janardhana Ranjith
Published: January 2025

Microelectromechanical Systems (MEMS) energy harvesters have been extensively investigated over the past decade, but increasing power density and long-term reliability under high acceleration and low frequency are still major concerns. This study focused on the development of a low-frequency lead zirconate titanate (PZT) based energy harvester capable of operating at high acceleration >4 g with high power density performance. This study investigates the performance effects of altering the electrode configuration and poling configuration to maximize power density. The study investigated using four different types of electrode configuration consisting of long and short interdigitated electrodes (IDE) to operate in d33 mode, and traditional parallel plate configuration to operate in d31 mode. The results were numerically and experimentally validated. The results illustrate that the d33 mode configuration was able to generate >3200 μW mm-3 with good reliability of up to 4 g.
A gentle introduction to Bayesian statistics, with applications to bilingualism research
Authors: Veríssimo João
Published: January 2025

Bayesian analyses have been increasingly adopted in psychology and linguistics as an addition (or replacement) to traditional frequentist methods. However, Bayesian methods are not yet widely applied in bilingualism research, possibly because existing introductions and tutorials have not been directed specifically at our field. The current paper highlights the advantages of Bayesian statistics to the bilingualism researcher, by providing both an introduction to its foundational principles and a practical tutorial on estimation and hypothesis testing using the brms R package. The examples build up from simple linear regression to more advanced mixed-effects models and showcase different aspects of a Bayesian workflow. Data, code, and models are publicly available at https://osf.io/n3jgm/.
Computational model reveals two sources of polarity across negative adjectival expressions and quantifiers
Authors: Schlotterbeck Fabian , Ramotowska Sonia , van Maanen Leendert , Szymanik Jakub
Published: January 2025

The polarity effect is one of the most robust effects in linguistics: Negative expressions are processed slower than corresponding positive ones. Decades of research has shown that this effect replicates for different types of negative expressions, however, its magnitude varies depending on the expression type. It has been argued that in addition to polarity, the downward monotonicity increases the cost of processing negative expressions. In this paper, we use computational modeling of data from a sentence-picture verification task to investigate the sources of the polarity effect by contrasting quantifiers ('more than half' vs. 'fewer than half') that differ in polarity and monotonicity with adjectives ('a large proportion' vs. 'a small proportion') that only differ in polarity. We collected reaction times and response data in two web-based sentence-picture verification task experiments. Our reaction time analysis showed a larger polarity effect for quantifiers than adjectives, thus replicating a previously observed non cross-over interaction between polarity and expression type. In order to interpret this interaction with respect to semantic properties of these expressions, we fit scalinDDM, a modified version of the Diffusion Decision Model to the data. We showed that the drift rate and non-decision time parameters were affected by polarity and that the effect on drift rate was larger for quantifiers than adjectives. This finding suggests that there is no exclusive mapping between semantic properties and the model's parameters. Nevertheless, our results show that the computational model enhances transparency between linguistic properties and the dependent variables in a sentence-picture verification experiment.
Bestiary of Questionable Research Practices in Psychology
Authors: Nagy Tamas , Hergert Jane , Elsherif Mahmoud Medhat , Wallrich Lukas , Schmidt Kathleen , Waltzer Talia , Payne Jason W. , Gjoneska Biljana , Seetahul Yashvin , Wang Yilin Andre , Scharfenberg Daniel , Tyson Gabriella , Yang Yu-Fang , Skvortsova Aleksandrina , Alarie Samuel , Graves Katherine A. , Sotola Lukas Karel , Moreau David , Rubínová Eva
Published: January 2025

Questionable research practices (QRPs) pose a significant threat to the integrity and credibility of scientific research. However, historically, they remain ill-defined and a comprehensive list of QRPs is lacking. The article addresses this concern by defining, collecting, and categorizing QRPs using an expert consensus method. Collaborators of the study agreed on the following definition: “Questionable research practices (QRPs) are ways of producing, maintaining, sharing, analyzing, or interpreting data that are likely to produce misleading conclusions, typically in the interest of the researcher. QRPs are not normally considered to include research practices that are prohibited or proscribed in the researcher’s field (e.g., fraud, research misconduct). Neither do they include random/non-motivated researcher error (e.g., accidental data loss).” Drawing from both iterative discussions and existing literature, we collected, defined and categorized 40 QRPs. We also considered attributes such as potential harms, detectability, clues, and remedies for each QRP. The results suggest that QRPs are pervasive and versatile, and have the potential to undermine all stages of the scientific enterprise. This work contributes to the maintenance of research integrity, transparency, and reliability by raising awareness for and improving the understanding of QRPs.
Infants at-risk for autism spectrum disorder: patterns of vocalizations at 14 months
Authors: Garrido Dunia , Watson Linda , Carballo Gloria , Garcia-Retamero Rocio , Crais Elizabeth
Published: January 2025

Differences in the early development of children are crucial for early detection of autism spectrum disorder (ASD). Previous studies have shown large differences between children later diagnosed with ASD and their typically developing peers in the early use of canonical vocalizations (i.e., vocalizations that include well-formed consonant-vowel syllables) and the use of vocalizations for communicative purposes. In this prospective study, we examined the extent to which infant vocalizations at 14 months would predict Autism Diagnostic Observation Schedule (ADOS) diagnostic symptom groups, i.e., Autism,Spectrum, and Non-ASD, for 82 community-identified at-risk infants at 23 months. Thirty minute video samples were coded with the intention to categorize and quantify speech (canonical/non-canonical and directed/non-directed) and non-speech vocalizations (atypical, distress, and pleasure vocalizations). Our results revealed that more canonical directed (OR=1.039, p=.036), and fewer non-canonical directed (OR=.607, p=.002) and non-canonical non-directed (OR=1.200, p=.049) vocalizations were associated with a greater likelihood of being in the Non-ASD group versus the Autism group, with no variables significantly predicting Autism versus Spectrum group membership. Despite some statistically significant findings, models performed poorly in classifying children into correct ASD symptom group at age 23 months based on vocalizations at 14 months. Thus, the utility of infant vocalizations alone for predicting toddler clinical outcomes among infants initially identified at an elevated risk for ASD appears limited; however, considering the structure and function of early vocalizations combined with other early developmental and behavioral features may improve the confidence for clinicians in making an early diagnosis of ASD.
The road not taken: Selective sampling and persisting inaccurate impressions
Authors: Vanlooy Emily , Harris Chris , Custers Ruud
Published: January 2025

When individuals learn through experience, they tend to choose the options they believe will produce the most favorable outcomes. Research by Harris and colleagues (2020) indicated that this inclination to consistently engage with the perceived optimal choice can bias the resulting evidence, potentially perpetuating inaccurate beliefs under certain conditions. As it is unclear whether this effect is driven by people attempting to approach positive outcomes, or by their drive to avoid negative outcomes, the current study aims to distinguish between those two motives. Participants completed a two-armed bandit task with identical options, where initial evidence was manipulated to induce the belief that one option was better than the other. Experiment 1 was conducted in a rewarding context, where financial gains served as a reinforcer (as opposed to neutral outcomes), while Experiment 2 featured a negative context, with the omission of an expected aversive event as a reinforcer. Behavioral measures showed signs of a lasting bias in the aversive context of Experiment 2, corroborated by a bias in explicit contingency estimates. No such effects were observed in the positive context of Experiment 1. These findings suggest that lasting biases in experiential learning are driven more strongly by negative than positive outcomes. Implications for the acquisition of irrational aversive beliefs are discussed.
India in the Year of Parliamentary Elections: The Alignment of Socio-political Forces and the Peculiarities of the Electoral System. The Interests of Russia
Authors: Volodin A. G.
Published: January 2025

The article investigates the alignment of socio-political forces in India on the eve of the parliamentary elections held in April-May 2024. In the first part of the paper, the positions and ideological preferences of the main electoral blocs, the National Democratic Alliance led by the Bharatiya Janata Party (BJP) and the I.N.D.I.A. party coalition under the Indian National Congress are compared, attention is drawn to the strengths and weaknesses of each of the above-mentioned associations. The second part of the article focuses on estimates and forecasts of the results of parliamentary election. The results of the general election are analyzed from the perspective of the electoral system of ‘relative majority’ functioning in India. In the final part of the paper, an attempt is made to assess the impact of the results of the parliamentary election on the prospects for the development of Russian-Indian relations.
Results and Peripeteia of the 2024 Presidential Elections in Indonesia
Authors: Popov A. V.
Published: January 2025

The article is devoted to the results of the presidential elections in Indonesia held on February 14th, 2024, as well as the political struggle preceding these elections, and the alignment of political forces in the highest echelons of power in Indonesia on the eve of the general elections and after their results were summed up. For a better understanding of the balance of the main political forces and participants in the 2024 presidential race, a brief analysis of the relationship between the main political figures of modern Indonesia, Joko Widodo and Prabowo Subyanto, in the period 2014–2024 is given.