bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis distribusi sumber daya manusia kesehatan berdasarkan standar ketenagaan Puskesmas di Kabupaten Deli Serdang
Authors: Syahdilla Intan , Susilawati Susilawati
Published: July 2023

Background: Health Human Resources (HR) are a key component that drives health development and play a role in increasing awareness, willingness, and ability to live a healthy life for everyone, as regulated in PERMENKES No.43 of 2019. The number of health workers on duty in Public Health Center (PHC) throughout Indonesia in 2020 was 434,308 people with a total number of PHC of 10.205 units. From the comparison of these numbers, it is possible that there are PHC that have not met the adequacy of health workers.Objectives: This study aimed to analyze the distribution and equity of the workforce at PHC based on PERMENKES No. 43 of 2019 in Deli Serdang Regency.Methods: This type of research used the MMR (Mix mode research (MMR) research method with a concurrent triangulation design. It was conducted in November-December 2022 in the Deli Serdang Regency, with a total sample of 34 Puskesmas units. Qualitative data collection with interactive interviews and descriptive statistical analysis of the quantitative data.Results: Based on the data analysis, the accumulation of human resources can be described as the current condition is still experiencing inequality. Based on the distribution, the completeness of the type of health workers is only 17,6% (6 out of 34 PHC units), and 100% or all the PHC units do not have complete types of non-health workers.Conclusion: All of the PHC in Deli Serdang Regency have vacancies for certain types of staff, or it can be said that they are not available.
Pengukuran Penerimaan Website Mulawarman Online Learning System (MOLS) Pada Universitas Mulawarman Menggunakan Theory Of Planned Behavior (TPB)
Authors: Herniyanti Herniyanti , Widagdo Putut Pamilih , Kamila Vina Zahrotun
Published: July 2023

One of the information technology services available at Mulawarman University is MOLS (Mulawarman Online Learning System). Implementing the Mulawarman Online Learning System (MOLS) is a strategic action to improve the learning process and interaction between students and lecturers in higher education. The Mulawarman Online Learning System (MOLS) functions as a tool to support learning management and make interaction between students and lecturers easier. The purpose of this study is to see the level of user acceptance of MOLS technology using the Theory of Planned Behavior, where the results of this study can be used for strategic decision making based on research results. Sampling used is all faculties at Mulawarman University and obtained as many as 104 respondents. The data obtained were analyzed using SmartPLS software version 4. Based on the results of data analysis, the following results were obtained: (1) perceived behavioral control had a positive and significant effect on behavior intention, (2) Attitude had no positive and significant effect on behavior intention, (3 ) Subjective Norm has a positive and significant effect on behavior intention and (4) behavior intention has a positive and significant effect on behavior.
Penerapan Metode PIECES Framework Sebagai Analisis Tingkat Kepuasan Mahasiswa Dalam Penggunaan Sistem Informasi Akademik
Authors: Darwi Metisya , Islamiyah  , Jundillah Muhammad Labib
Published: July 2023

Sistem Informasi Akademik dapat mempermudah Universitas dalam mendapatkan informasi dan membantu melakukan kegiatan administratif akademik. Universitas Muhammadiyah Kalimantan Timur telah menggunakan SIKAD sejak tahun 2017, akan tetapi sistem ini belum pernah di analisis untuk mengetahui kepuasaan pengguna terhadap sistem informasi akademik. Tujuan dari penelitian ini untuk mengetahui tingkat kepuasan mahasiswa terhadap SIKAD serta mengetahui kelebihan dan kekurangan sistem. Penelitian ini bersifat kuantitatif, dengan menggunakan Metode PIECES dengan variabel kinerja, informasi, ekonomi, control, efisiensi dan layanan. Pengumpulan data menggunakan kuesioner, Populasi dalam penelitian didapatkan dari  mahasiswa Angkatan 2019, 2020 dan 2021 dengan jumlah sampel 377 responden. Hasil penelitian ini menunjukkan bahwa semua variabel dari metode PIECES memiliki pengaruh terhadap kepuasan pengguna.
Digitalisasi Pelayanan Administrasi Kependudukan di Desa Taunbaen Timur Berbasis Website Menggunakan Metode Prototype
Authors: Amsikan Dionisius K. , Kelen Yoseph P. K. , Tey Seran Krisantus
Published: July 2023

One of the main tasks of a village office is the population administration handling and permit paperwork service.  The village population administration handling at East Tuanbaun Village, the sub-district of North Biboki, the District of North Central Timor up to the current time, is still implemented conventionally. The data processing management, such as letter of recommendations, document filing  are still conventionally recorded in books. Such conditions are considered very ineffective and  undeniably  very time consuming, particularly when someone is trying to find data. Apart from that it is very lackadaisical and results in long queue whenever people  come to get their paper work done.  We, in this research, develop website-based information system for population administration service named SIADES. This website  platform is chosen as it can be easily and freely accessed from any place at anytime. This application is developed using prototype method, providing  the system development method   can give access to the interaction between the user and   the developer.  The existence of this application can help the village officers  and the society in handling letters of permit. People don't have to come to the village office to get their permit/recommendation letter since they can do it using online website service.  On top of that, all the digitally saved data will remain safe and long-lasting.
Penerapan Data Mining Menggunakan Metode K-Means Clustering Pada Data Ekspor Batubara
Authors: Ramadhana  , Islamiyah  , Masa Amin Padmo Azam
Published: July 2023

Indonesia adalah negara yang termasuk pengekspor ke negara-negara maju dan berkembang. Penelitian ini membahas tentang Penerapan Data mining Pada Ekspor Batubara Negara Tujuan Menggunakan Metode K-Means Clustering. Data penelitian ini dikumpulkan berdasarkan dokumen-dokumen keterangan ekspor impor yang dihasilkan oleh Direktorat Jenderal Bea dan Cukai. Data yang digunakan dalam penelitian ini adalah data dari tahun 2012- 2021 yang terdiri dari 10 Variabel yang digunakan (1) jumlah ekspor berat bersih (ton). Data akan diolah dengan melakukan clustering dalam 3 cluster yaitu cluster tingkat ekspor tinggi, cluster tingkat ekspor sedang, dan cluster tingkat ekspor rendah. Centroid data untuk cluster tingkat ekspor tinggi 94681,9, Centroid data untuk cluster tingkat ekspor sedang 17272,4, dan Centroid data untuk centroid data untuk cluster tingkat ekspor rendah 77,2. Sehingga diperoleh penilaian menggunakan perhitungan jarak Euclidean Distance dan Manhattan Distance dengan hasil clustering yang sama berdasarkan indeks ekspor batubara  dengan 4 negara cluster tingkat ekspor tinggi diantaranya adalah negara India, Tiongkok, Jepang, dan Korea Selatan serta 5 negara dengan tingkat ekspor sedang diantaranya Taiwan, Malaysia, Philipina, Thailand, dan negara lainnya. Pada negara cluster tingkat ekspor rendah yakni Hongkong dan Spanyol. Hal ini dapat menjadi masukkan kepada pemerintah, negara yang menjadi prioritas tertinggi pada kegiatan ekspor batubara berdasarkan cluster yang telah dilakukan.
Prediksi Tumor Otak Menggunakan Metode Convolutional Neural Network
Authors: Hakim Muhammad Nafi Maula , Nugroho Arif Bagus , Minarno Agus Eko
Published: July 2023

Berkembangnya suatu teknologi membuat banyak pengaruh bagi beberapa sektor di bidang kesehatan.salah satunya adalah tumor otak. Klasifikasi tumor otak merupakan suatu penilitian yang penting untuk memprediksi hasil antara terinfeksi atau tidak. Pada penelitian ini dilakukan klasifikasi tumor otak dengan dataset berjumlah 300. Hasil yang diperoleh adalah akurasi sebesar 76% untuk model ANN dan 85% untuk model CNN].
Penerapan Algoritma K-Nearest Neighbors untuk Klasifikasi Fragmen Metagenom Berdasarkan Ekstraksi Fitur K-Mers
Authors: Nolly Ryan Ananda , Fitria Amanda , Saputra S Kana
Published: July 2023

Penelitian di bidang metagenomika menjadi salah satu bidang kajian bioinformatika yang terus berkembang. Metagenom merupakan sebuah teknik yang bertujuan untuk mengumpulkan gen-gen yang diambil secara langsung dari lingkungan dan mengenalisis informasi genetika di dalamnya. Data yang diambil langsung dari lingkungan memungkinkan fragmen yang dihasilkan mengandung berbagai mikroorganisme, sehingga akan berakibat pada terjadinya kesalahan perakitan terhadap fragmen metagenom. Proses binning (pengelompokan) dapat dilakukan dengan dua pendekatan, yaitu pendekatan homologi dan pendekatan komposisi. Pendekatan secara komposisi tidak perlu membandingkan dan menyimpulkan setiap hasil pencarian pada setiap level taksonomi sehingga waktu yang diperlukan untuk pengelompokan lebih cepat dibandingkan dengan pendekatan secara homologi.Pada proses binning (pengelompokan) dengan pendekatan komposisi, teknik yang dilakukan adalah dengan supervised learning. Tujuan dari penelitian ini adalah untuk mengklasifikasi fragmen metagenom menggunakan algoritma KNN dan K-Mers sebagai ekstraksi fitur. Selain itu, untuk menghitung tingkat akurasi klasifikasi fragmen metagenom menggunakan confusion matrix. Metode K-Mers yang digunakan sebagai ekstraksi fitur bertujuan untuk mempartisi data dan membentuk satu atau lebih kelompok yang memiliki kesamaan, sehingga perhitungan untuk mencari tingkat akurasi menjadi lebih mudah didapatkan. Berdasarkan hasil pengujian yang dilakukan menunjukkan bahwa semakin rendah nilai K yang digunakanpada KNN maka semakin tinggi akurasi yang diperoleh. Pada pengujian ini diperoleh perhitungan akurasi sebesar 94,37% dimana nilai K untuk KNN adalah 3 dan nilai K untuk K-Mers adalah 3. Hasil klasifikasi fragmen metagenom menggunakan algoritma KNN berdasarkan ekstraksi fitur K-Mers dapat dilakukan dengan baik.
Deteksi Citra X-Ray Paru-Paru Terinfeksi COVID-19 dengan Algoritma CNN berbasis Aplikasi Web
Authors: Amir Supri Bin Hj , Akbar Sitti Nur Azizah Fitriani , Hendra Hendra , Anwar Andi Muhammad , Sulfayanti Sulfayanti
Published: July 2023

Pada penelitian ini menggunakan algoritma Convolutional Neural Network (CNN) untuk mendeteksi COVID-19 berdasarkan citra X-ray Paru-paru. Arsitektur CNN yang digunakan adalah EfficientNetB7 dan Resnet152V2 dengan memanfaatkan teknik Transfer Learning. Penelitian ini berfokus pada membandingkan kinerja kedua model arsitektur dalam mengklasifikasikan citra X-ray Paru-paru terinfeksi COVID-19. Selanjutnya mengimplementasikan model CNN tersebut ke aplikasi deteksi Citra X-ray paru-paru berbasis web. Dari hasil evaluasi kedua model tersebut disimpulkan bahwa Resnet152-V2 mencapai kinerja lebih baik dibanding arsitektur CNN EfficientNetB7 dengan akurasi 97% sedangkan EfficientNetB7 dengan akurasi 95%.
Sistem Informasi Pengelolaan Dana Bantuan Operasional Sekolah (BOS) Berbasis Web dengan Framework Django di MTs Miftahul Khair
Authors: Habibah Habibah , Yaqin Moh Ainol , Fajri Fathorazi Nur
Published: July 2023

Dana Bantuan Operasional Sekolah adalah bentuk kegiatan yang dilakukan untuk menerapkan kebijakan yang dilakukan untuk menerapkan kebijakan perluasan serta pemerataan akses pendidikan di Indonesia yang dikhususkan untuk menunjang program wajib belajar dua belas tahun. Diketahui bahwa lembaga pendidikan swasta MTs Miftahul Khair, Alastengah, Besuk, Probolinggo, masih menggunakan sistem konvensional dalam pengelolaan data keuangan Bantuan Operasional Sekolah. Sistem berjalan menggunakan Aplikasi Microsoft Excel dan dicatat manual ke dalam buku untuk proses pencatatannya, kemudian melakukan perekapan ulang setiap kali membuat Laporan keuangan Bantuan Operasional Sekolah. Sistem konvensional tersebut mempunyai kekurangan diantaranya memungkinkan kesalahan input data, membutuhkan waktu yang lama dalam pengelolaan keuangan, maupun dalam pembuatan laporan. Penelitian ini bertujuan untuk menghasilkan sebuah sistem informasi pengelolaan Dana Bantuan Operasional Sekolah yang lebih cepat , efektif, dan efisien. Metode pengumpulan data dilakukan dengan cara observasi, wawancara, dan studi literatur. Hasil dari penelitian ini yaitu aplikasi sistem informasi pengelolaan Dana Bantuan Operasional Sekolah berbasis web yang dapat mempermudah proses pengelolaan data Dana BOS yaitu pada proses penginputan data, pencarian data, dan pembuatan laporan.
Pengembangan Mobile Learning Berbasis Android Untuk Mendukung Proses Pembelajaran
Authors: Rosita Dewi , Ikhmawati Ikhmawati , Merlin Merlin , Suriaty Suriaty
Published: July 2023

Penggunaan smartphone bisa dijadikan kontribusi dalam melakukan inovasi dalam proses pembelajaran. Inovasi tersebut adalah mengembangan media pembelajaran interaktif  berbasis mobile learning. Terkait dengan hal tersebut, penulis  mengembangkan media pembelajaran interaktif berbasis mobile learning dalam upaya menjadikan kegiatan pembelajaran lebih menyenangkan khusunya pada mata pelajaran Peniddikan Agama Islam pada Sekolah Menegah Atas. Penelitian ini menggunakan pendekatan HTLL dengan tema Teknologi Ramah Lingkungan, dimana Memuat perlunya teknologi tepat guna atau ramah lingkungan di dalam eksplorasi, pemanfaatan dan penggunaan teknologi di lingkungan/wilayah hutan hujan tropis Tujuan dalam penelitian ini adalah 1) bagaimana mengembangkan mobile learning berbasis Android menggunakan microsoft powerpoint add-ins i-spring suite untuk mendukung proses pembelajaran 2) implementasi untuk menguji kelayakan  mobile learning berbasis Android menggunakan microsoft powerpoint add-ins i-spring suite untuk mendukung proses pembelajaran. Pengembangan mobile learning berbasis Android ini menggunakan model 4D yaitu 1) Define; 2) Design; 3) Development; 4) Disseminate. Kelayakan media ini oleh para validator yang terdiri dari validasi materi, media dan uji coba ke siswa.  Hasil penilaian oleh ahli media mendapatkan total jumlah skor 110 dengan persentase kelayakan 88% sehingga termasuk dalam kategori  “Sangat Layak”. Sedangkan penilaian oleh ahli materi mendapatkan total jumlah skor 72 dengan persentase kelayakan 96% sehingga termasuk dalam kategori “Sangat Layak”. Kemudian berdasarkan hasil uji coba ke siswa diperoleh total jumlah skor 827 dengan persentase kelayakan 87%  sehingga termasuk dalam kategori “Sangat Layak”. Sehingga dapat disimpulkan bahwa mobile learning berbasis android mata pelajaran pendidikan agama islam materi asuransi syariah “sangat layak” digunakan sebagai media pembelajaran.
Pemilihan Gerakan Pramuka Kwartir Cabang Tergiat Di Kalimantan Timur Menggunakan Metode Multi Attribute Utility Theory
Authors: Hatta Heliza Rahmania , Prima Eka Wulan Mei , Astuti Indah Fitri , Septiani Ni Wayan Parwati , Lestari Mei
Published: July 2023

Kwartir Daerah Kalimantan Timur (Kwarda Kaltim) adalah wadah nonformal kegiatan kepramukaann masyarakat Kalimantan Timur yang mengurusi dan menilai langsung 10 Kwartir Cabang dengan data potensi peserta didik Kwarda Kaltim dengan total keseluruhan 179.128 anggota Gerakan Pramuka. Penilaian kwartir cabang dilaksanakan dalam rangka pembinaan, peningkatan semangat dan kemampuan serta prestasi kerja kwartir cabang. Penilaian pada Kwarda Kaltim selama ini dilakukan secara manual menggunakan Microsoft Excel dengan memperhitungkan lima kriteria utama dan dalam setiap bidangnya memiliki beberapa cara perhitungan berbeda pada subkriterianya, sehingga memungkinkan terjadi human error pada proses perhitungan dan peserta sering melakukan pengumpulan laporan yang menyita waktu hingga batas akhir penilaian, sehingga proses selanjutnya yaitu mengkalkulasikan data menjadi terburu-buru, sehingga untuk meminimalisir terjadinya human error pada saat memasukkan rumus maupun data ke dalam Microsoft Excel oleh penilai, maka dibutuhkan suatu sistem pendukung keputusan yang dapat memudahkan penilai mendapatkan rekomendasi kwartir cabang tergiat secara terurut dengan efisien. Metode sistem pendukung keputusan yang digunakan adalah Multi Attribute Utility Theory (MAUT) menggunakan 8 alternatif dan 5 kriteria utama dengan total 58 subkriteria. Hasil dari penelitian ini akan digunakan sebegai bahan pertimbangan untuk pengambilan keputusan yang dapat digunakan penilai dalam menentukan urutan ranking pemenang kwartir cabang tergiat di Kalimantan Timur yang tepat sesuai kriteria penilaian.
olhar sobre o Ensino de Química para os alunos surdos do Ensino Médio
Authors: Galdino Soares Cecilia Regina , Dos Santos Silva Marcilene , Andrade Gomes Nunes Leonardo
Published: July 2023

O presente trabalho tem como objetivo investigar as intervenções didático-pedagógicas no Ensino Médio para o ensino de Química aos alunos surdos. Os procedimentos metodológicos foram baseados em uma revisão sistemática descritiva da literatura de artigos dos últimos cinco anos (2017 - 2022). As bases de dados selecionadas foram Portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) e Scientific Electronic Library Online (SciELO). Os resultados encontrados após utilizar as palavras-chave resultaram em 50 artigos e, após as análises dos títulos, resumos e metodologias, somente três contemplaram o tema proposto. A partir do que foi averiguado, foi possível identificar quais os recursos didáticos utilizados pelos professores como estratégia de ensino para a promoção da aprendizagem de conteúdos de Química no Ensino Médio no contexto de inclusão escolar do aluno surdo.
A systematic review of changing conceptual to practice in learning experience design: Text mining and bibliometric analysis
Authors: Phommanee Warakon , Plangsorn Boonrat , Siripipattanakul Sutithep
Published: July 2023

Learning experience design (LXD) is a new wave in educational technology and learning design. This study was conducted to clarify conceptual change to practice by applying a systematic literature review to a combination text mining and bibliometric analysis technique to visualization network. Based on the study selection articles from SCOPUS. Our research questions focused on the changing concept, the elements of dimensionality, and the process or practice of LXD. The findings showed that 152 articles were finally selected to be analyzed. Conceptualizing LXD is currently underway in design thinking and user research methods with emphasis on the empathize process. Moreover, three dimensions to consider including (1) design dimension focus on user experience design in a technology context, (2) learning dimension focus on instructional design and learning theory, and (3) standard dimension focus on assessment and evaluation in learning goal and project management. In addition, five steps cycle for practice follows: research learners as users and learning goals, design with ideate, develop prototyping, validity testing, and launch and follow-up. These factors enhance learning engagement and aesthetics for a great learner experience and learning efficacy.
Sita in Cultural Translation
Authors: Albrecht Jessica A.
Published: July 2023

It is no longer a novelty in Religious Studies that translations play an integral role in questions of (inter-)cultural contact, comparison, and identity. But the question of what translation means, how it relates to interpretation, and the role of text, language, and practice has not been adequately addressed. In recent years, feminist historical research has published some ground-breaking work addressing this very question. This article uses a cross-disciplinary (literature studies, feminist translation studies and religious studies) approach to examine four different Ramayana versions in late colonial Ceylon and India (1900–1930) written by the Theosophists Annie Besant, Marie Musaeus Higgins and Leelawathy Ramanathan for the purpose of girls’ education. The differing portrayals of Sita as the “perfect wife” will be used to highlight the importance of theories of translation for the study of global religious history.
ОСОБЛИВОСТІ СКЛАДАННЯ КОШТОРИСНОЇ ДОКУМЕНТАЦІЇ ЗА УКРУПНЕНИМИ КОШТОРИСНИМИ НОРМАМИ ПРИ ВИЗНАЧЕННІ ВАРТОСТІ БУДІВНИЦТВА
Authors: Юрченко Оксана , Нестеренко Валентина , Демченко Володимир
Published: July 2023

УДК 338.534:69.003; JEL Classification: L11

Юрченко О.В., Нестеренко В.Ю., Демченко В.В. ОСОБЛИВОСТІ СКЛАДАННЯ КОШТОРИСНОЇ ДОКУМЕНТАЦІЇ ЗА УКРУПНЕНИМИ КОШТОРИСНИМИ НОРМАМИ ПРИ ВИЗНАЧЕННІ ВАРТОСТІ БУДІВНИЦТВА

Мета. Метою дослідження є пошук шляхів зниження трудомісткості розробки економічної частини проєктів за складом та змістом на основі розробки алгоритму послідовності складання кошторисної документації на основі укрупнених кошторисних норм (УКН). Методика дослідження. Теоретичною і методологічною основою дослідження є праці провідних вітчизняних науковців, присвячені дослідженню ринкового ціноутворення будівельної продукції в умовах українського підрядного ринку. В роботі використано метод теоретичного узагальнення; системний підхід; метод аналізу і синтезу; графічний метод. Результати. В роботі наголошено на актуальності реалізації основних завдань щодо формування кошторисної вартості будівельних проектів, зокрема скороченні термінів розробки кошторисів; повноцінного включення до зведеного кошторисного розрахунку усіх глав і статей витрат; отримання більш реальних техніко-економічних показників. Виділено особливості розроблення кошторисної документації на технічне переоснащення і реконструкцію об’єктів будівництва. Окремо розписано послідовність складання усіх різновидів кошторисів (локальних, об’єктних, зведених) в межах алгоритму послідовності розробки кошторисної документації на основі УКН. Наукова новизна. Отримав подальший розвиток науково-методичний підхід щодо визначення вартості будівництва шляхом розробки алгоритму послідовності розробки кошторисної документації на основі укрупнених кошторисних норм, що є перспективним напрямком зниження трудомісткості процедури формування економічної частини проєктів за складом та змістом. Практична значущість. Запропонований алгоритм послідовності розробки кошторисної документації на основі УКН забезпечує чітке засвоєння базису ціноутворення об’єктів промислового та цивільного будівництва, а також та спрощують роботу кошторисника.
УДОСКОНАЛЕННЯ МЕТОДИЧНИХ ПІДХОДІВ ЩОДО ВИЗНАЧЕННЯ НАПРЯМІВ ФІНАНСОВОЇ БЕЗПЕКИ РЕГІОНІВ УКРАЇНИ
Authors: Дмитрієва Оксана , Мордовцев Олександр
Published: July 2023

УДК 336.02, JEL Classification: Е 42, Е 44, Е 58.

Дмитрієва О.І., Мордовцев О.С. УДОСКОНАЛЕННЯ МЕТОДИЧНИХ ПІДХОДІВ ЩОДО ВИЗНАЧЕННЯ НАПРЯМІВ ФІНАНСОВОЇ БЕЗПЕКИ РЕГІОНІВ УКРАЇНИ

Мета: розробка теоретико-методичних та практичних пропозицій щодо удосконалення методичних підходів за різними напрямами забезпечення фінансової безпеки регіонів України у сучасних умовах глобалізації економічного сектору. Результати: З’ясовано, що вирішальний вплив на економіку часто мають інтереси людей і суспільні інститути, що не відображені в офіційних нормативно-правових документах та актах. Узагальнені дослідження вчених-економістів щодо трактування категорії «фінансова безпека» та згідно з цими трактуваннями виокремлені основні складові фінансової безпеки держави. Надано авторське визначення категорії «фінансова безпека» у контексті проблем дослідження. Розроблено теоретико-методичний зміст концепції фінансової безпеки України та доведено, що зміст такого документу не має бути догмою, а повинен постійно системно оновлюватися. Сформований універсальний та дієвий інституційно-правовий механізм кредитно-грошової політики забезпечення фінансової безпеки держави, який спрямовано на побудову ефективної системи органів публічного управління із залученням центральних суб’єктів формування фінансової безпеки – територіальних громад. Наукова новизна: Розроблено організаційно-економічний механізм кредитно-грошової політики забезпечення фінансової безпеки України, ключовим елементом якого є здійснення стратегічні цілей та напрямків розвитку цієї політики. Удосконалено методичні підходи за секторальними напрямами фінансової безпеки України, а саме: банківська система, фінансово-кредитна інфраструктура; небанківські фінансово-кредитні організаційно-правові інститути. Практична значущість: виконання представлених теоретико-методичних заходів дозволить зміцнити фінансову безпеку України за різними секторальними напрямами, зменшити рівень тінізації кредитно-грошового сектору, усунути загрозу зниження потенціалу загальної фінансової системи країни та впровадити сучасні механізми управління фінансовою безпекою на макроекономічному та мікроекономічному рівнях.
Cognitive model of content analysis of digital communications
Authors:   Russian State Social University, Pilgun Maria A.
Published: July 2023

The article is devoted to the development of a model for the integration of psycholinguistic techniques and neural network technologies for the analysis of speech data from the standpoint of the theory of speech activity. The results of the study of speech perception of social media actors for the analysis of social tension around the construction of the Rublevo-Arkhangelskaya metro line (from the Zvenigorodskaya metro station to the Lipovaya Alleya metro station) are presented. The material for the study was data from microblogs, blogs, instant messengers, social networks, video hosting, Internet media, thematic portals, map services and TV. Date of material collection: 01.07.2020 23:59:59 – 24.03.2021 23:59:59. The analysis of the database showed the absence of social tension around the project. For content analysis, a multimodal approach was used using neural network technologies, text analysis, semantic analysis, content analysis, sentiment analysis, analysis of word association. The results of the study showed that the integration of psycholinguistic methods and neural network technologies from the standpoint of the theory of speech activity made it possible to build a cognitive model for the analysis of social tension in the media space, to conduct a study of the analysis of opinions, speech perception of social media actors. Analysis of the data showed the absence of social tension around the construction of the Rublyovo-Arkhangelskaya metro line (from the Zvenigorodskaya metro station to the Linden Alley metro station). Content analysis, the selection of the thematic structure and summarization made it possible to clarify key topics, determine the content rating; sentiment analysis, analysis of semantic and associative networks confirmed for the most part a neutral perception of the actors of the project implementation. The analysis of lexical associations made it possible to identify and interpret the implicit assessments and opinions of actors that confirm the results of the study.
Language shift and ethnic identity: determination, interdependence, or constellation?
Authors:   State University of Education, Khukhuni Georgy T. , Valuytseva Irina I. ,   State University of Education
Published: July 2023

The article discusses some aspects of the relationship between the ethnic identity of the collective and the preservation of the native language. This question is one of the most controversial problems, far beyond the scope of the science of language, and it is often not linguists who speak most fervently and categorically about it. An unambiguous solution is hardly possible here. When analyzing aspects related to it, it is necessary to distinguish whether we are talking about a language collective living in a foreign-language environment (diaspora in the broad sense of the word), but having its historical homeland, where this idiom is the main means of communication, or about the indigenous population of the territory that is part of a larger state entity that has no another “national hearth”. In the first case, the gradual “extinction” of the original language does not lead to the loss of it among the people as a whole; in the second, this process will most likely be perceived precisely as the desire of the dominant ethnic group to assimilate the corresponding people. Even after factual linguistic shift, if the sense of ethnic identity remains, the latter often begins to find linguistic expression. On the other hand, the struggle of the authorities against ethnic separatism often extended to the language, the displacement of which from any socially significant spheres, and preferably from everyday communication, was sometimes conducted by rather harsh means. Thus, of the three functions indicated in the title of the article, the leading trend is usually interdependence, although others may prevail in certain periods of history.
Reproductive Outcomes of in Vitro Fertilization and Embryo Transfer in Women with Unexplained Repeated Implantation Failure are Significantly Improved with Intravenous Immunoglobulins
Authors: Shu Mingming , Zhou Yujuan , Liang Hong , Han Huimin , Zhong Wei , Yao Shun , Ruan Zhuolin , Yu Ding , Shang Wei
Published: July 2023

Background: The aim of this study was to investigate the effects of intravenous immunoglobulins (IVIg) in the immunotherapy of in vitro fertilization and embryo transfer (IVF-ET) patients and to provide insights into the treatment strategy for implantation failure. Methods: A retrospective observational study of 245 patients with unexplained repeated implantation failure in our hospital from 2016 to 2021 was conducted. Among these patients, 124 were administered IVIg according to their preferences during the preparation of implantation, while the others were not given IVIg as a control group. The basic characteristics of the patients in the two groups did not show any significant differences. Biochemical pregnancy rate, clinical pregnancy rate, and live birth rate were compared in the two groups, and also in the IVIg group and the control group, by age (<40 years old and ≥40 years old). Results: The biochemical pregnancy rate, clinical pregnancy rate, and live birth rate in the IVIg group were significantly higher (p < 0.05) than in the control group. However, it was found that there were no significant differences in the reproductive outcomes between the IVIg group and the control group for patients older than 40 years. While for the patients less than 40 years old, the biochemical pregnancy rate, clinical pregnancy rate, and live birth rate of the IVIg group were all higher than those of the control group (p < 0.05). Conclusions: The results of this study suggest that IVIg treatment had a better reproductive outcome for IVF-ET patients with unexplained repeated implantation failure, particularly for patients under age 40.
Surgical Management of Postpartum Hemorrhage at Cocody University Hospital in the De Facto Capital City of Ivory Coast
Authors: Mian Dehi Boston , Tijani Fahimat , Angoi Virginie , Yao Alexis , Boussou Chrisostome , N’Guessan Koffi , Boni Serge
Published: July 2023

Background: Postpartum hemorrhage (PPH) is the most common cause of maternal mortality in low-and middle-incomes countries (LMICs). It is treated surgically when first line treatments fail. The goal of the sutdy is to report the results of surgical management of PPH at a University Hospital in the Capital of Côte d’Ivoire from 2015–2017. Methods: This was a retrospective study of all cases of PPH surgically managed at the university hospital of Cocody over two years. We did not include cases of maternal soft tissue injuries such as cervical, vaginal, vulvar and perineal lacerations. We studied the sociodemographic characteristics, surgical method performed and outcome of 54 cases who were operated on for PPH. Surgical management was either Radical Uterine Surgery (RUS): postpartum hysterectomy or Conservatice Uterine Surgery (CUS): hysterography, tsirulnikov triple ligation and bilateral hypogastric artery ligation (BHAL). No embolization was performed because it is not available in our country. Data were analyzed using Stata 13.1 software 2013, StataCorp, College Station-Texas, USA. Results: Of 23,730 deliveries there were 971 cases of PPH (4.1%) 54 of which (5.6% of PPH cases) were managed surgically. Of these, 34 were after cesarean and 20 after vaginal delivery. The mean age was 30 years and the mean parity was 3. Referred patients after PPH comprised 75.9% of cases. The average time elapsed from delivery to postpartum surgery was 133 minutes ± 33.39. The average time from admission to surgery was 86 minutes ± 53. Thirty-four underwent postpartum hysterectomy (63%) and 20 CUS (37%). N = 10 women (18.5%) died, 2 status post cesarean and 8 after vaginal delivery. All died within 120 minutes of postpartum surgery. Maternal morbidity was common such as postoperative anemia (68.2%), surgical site-infection (15.9%) and endometritis (6.8%). Conclusions: Postpartum hysterectomy was generally performed in older multiparous women and CUS in younger pauciparous women. None of the surgical options showed superiority over the others, however the small sample size does not allow generalization of the results. The choice of method should be guided by the condition of the mother, the experience and skill of the surgeon, the availability of the operating room, and the possibilities of resuscitation.
Androgens and Female Sexuality: Molecular Insights, Neuroendocrine Crosstalk and Future Therapeutic Directions
Authors: Montan Giulia , Carollo Massimo , Torres Luciano , Buzzaccarini Giovanni , Giannini Andrea , Etrusco Andrea , Cosmi Erich , Rigano Marcello , Chiantera Vito , Laganà Antonio Simone , Cucinella Gaspare , Gullo Giuseppe
Published: July 2023

Objective: The scientific community has recently directed its attention towards investigating the role of androgens in female sexuality. This narrative review aims to elucidate the central and peripheral androgen-mediated mechanisms involved in female sexual health and function. Additionally, the current state of androgen therapeutic options is discussed. Mechanism: We searched several scientific literature databases, including EMBASE, MEDLINE, PubMed Central, and Scopus, utilizing keywords, index terms, and MeSH terms, such as “androgen*”, “female sexuality”, “female sexual function”, “women’s sexual dysfunctions”, “androgen therapy in women”, and various combinations thereof. Findings in Brief: Progesterone or estrogens are commonly prescribed as first-line treatments for female sexual dysfunctions. However, these medications may frequently lead to therapeutic failure and cause harm by increasing sex-hormone-binding-globulin plasma levels and decreasing testosterone plasma concentrations. Currently, there are limited androgen therapies available for women, and the evidence for their effectiveness and safety is still limited. Conclusions: The knowledge of neuroendocrine interactions that underlie sexual arousal and pleasure is rapidly expanding, and ongoing research is striving to develop more appropriate clinical practices for managing sexual dysfunctions in women.
Association between Cardiovascular Diseases and Peri-Implantitis: A Systematic Review and Meta-Analysis
Authors: Chu Danna , Wang Ruiling , Fan Zhen
Published: July 2023

Background: A potential relationship between oral inflammation and cardiovascular disease has been proposed; however, the impact of cardiovascular disease on implant restoration remains unclear. This systematic review aims to assess the relationship between peri-implantitis and cardiovascular disease based on review of data obtained through observational studies. Materials and Methods: An extensive systematic literature search was performed using the PubMed/MEDLINE, Scopus, Web of Science and Cochrane Library databases. Studies published in English language up to June 2022 were conducted in accordance with PRISMA guidelines. These efforts identified 230 unique publications and, after selection, five studies were included in this meta-analysis. The Newcastle-Ottawa Scale table was used for literature quality assessment. A fixed-effect model was selected and RevMan software version 5.3 was used to identify the origin of the outcomes of the meta-analysis. Finally, results were reported through the PRISMA statement. Results: This meta-analysis found that in implant restoration the incidence of peri-implantitis in patients with cardiovascular disease was higher than those without cardiovascular disease (Risk ratio (RR) = 1.12; 95% CI: 1.02–1.23; z = 2.34; p < 0.05). Conclusions: Based on current evidence, we conclude that the presence of cardiovascular disease increases the incidence of peri-implantitis. Registration: PROSPERO database (CRD42022353693).
Non-ST Elevation Myocardial Infarction in the Elderly. Antithrombotic Therapy and Beyond
Authors: Díez-Villanueva Pablo , Jiménez-Méndez César , Ferreiro José Luis , Cepas-Guillén Pedro , Bonanad Clara , García-Blas Sergio , Ariza-Solé Albert , Sanchís Juan , Martínez-Sellés Manuel
Published: July 2023

Non-ST segment elevation myocardial infarction (NSTEMI) is the most frequent type of acute coronary syndrome in the elderly. Antithrombotic therapy is the cornerstone of pharmacological therapy in the setting of an acute ischemic event, a clinical scenario in which thrombotic and bleeding risks ought to be considered, particularly in older patients. In this article, specific aspects of antithrombotic therapy in elderly patients with NSTEMI are reviewed, including pharmacokinetic and pharmacodynamic characteristics and different clinical situations. The role of frailty and other common geriatric conditions, that are associated with worse prognosis in elderly patients with cardiovascular disease, is also addressed.
To respond or not to respond: Exploring empathy-related psychological and structural brain differences between placebo analgesia responders and non-responders
Authors: Hartmann Helena , Banwinkler Magdalena , Riva Federica , Lamm Claus
Published: July 2023

Placebo responsiveness is highly variable across individuals. In the domain of pain, it may range from pronounced hypoalgesia to no response at all. Which factors predict such variation awaits clarification, as the available literature is characterized by mixed and inconclusive results. Particularly interesting in this case are social factors such as empathy or prosocial behavior, as prior work has stressed the connection between feeling pain yourself and empathizing with pain observed in others. In a mixed confirmatory and exploratory approach, this study investigated potential psychological and structural brain differences between placebo responders and non-responders in the domain of pain. We aggregated data of four behavioral and neuroimaging studies that had been designed to investigate the effects of placebo analgesia on empathy. Analyses comparing groups of placebo responders and non-responders showed significant group differences in trait characteristics, with responders reporting increased helping behavior and lower psychopathic traits compared to non-responders. Uncorrected results further showed higher pain-related empathic concern in responders vs. non-responders. These results were accompaniedby tentative group differences in brain structure: placebo analgesia non-responders exhibited increased gray matter volume in left inferior temporal and parietal supramarginal cortical areas, and an increased cortical surface area in bilateral middle temporal cortex. Together, our findings suggest that modifiability of one’s pain perception by means of placebo effects is linked to personality traits characterizing social emotions and behavior. They also hint that these psychological as well as brain structural characteristics might be beneficial for the identification of placebo responders. At the same time, they stress the importance of considering contextual factors such as the study setting or paradigm when investigating the association between individual characteristics and placebo responding.
Pengci Phenomenon in China: Exploring Bystanders' Decision-Making and Psychological Factors
Authors: Jin Ruining
Published: July 2023

In a collectivist society like China, people are supposed to give a hand to others in need of help as a way to maintain group harmony and solidarity. However, in recent years, the term “Pengci” has been coined to describe a common phenomenon associated with seniors who feign injury in traffic accidents in an effort to extort innocent drivers or bystanders for financial reimbursement for medical treatment. And now in fear of being “Pengci-ed”, many bystanders’ would choose to ignore seniors falling on the streets or in other dire situations
Yếu tố ảnh hưởng đến hành vi mua hàng ngẫu hứng qua thương mại điện tử của giới trẻ tại Thành phố Hồ Chí Minh
Authors: Lan Trần Thị Ngọc , Trung Tran Thanh
Published: July 2023

FACTORS INFLUENCING IMPULSE SHOPPING BEHAVIOR THROUGH E-COMMERCE OF YOUNG PEOPLE IN HO CHI MINH CITYThrough Exploratory Factor Analysis (EFA) and multiple regression techniques, the research fndings indicate that factors such as price and discounts, interactivity, advertising, impulsiveness, evaluation quality, trustworthiness, and visual appeal have a positive influence on impulse buying behavior among young people on e-commerce platforms in Ho Chi Minh City. Based on these results, the study proposes managerial implications and solutions to help businesses enhance sales performance, increase revenue, and profit by leveraging the impulsive buying behavior of young consumers to develop online shopping practices.Thông qua kỹ thuật phân tích EFA, hồi quy bội, kết quả nghiên cứu cho thấy, các yếu tố như: Giá cả và sự giảm giá; Tính tương tác; Quảng cáo; Tính ngẫu hứng; Chất lượng đánh giá; Độ tin cậy và Sự hấp dẫn thị giác có ảnh hưởng tích cực đến đến hành vi mua hàng ngẫu hứng trên các trang thương mại điện tử của giới trẻ tại TP. Hồ Chí Minh. Từ kết quả này, nghiên cứu đề xuất hàm ý quản trị, giải pháp giúp doanh nghiệp có thể tăng hiệu suất bán hàng, tăng doanh số và lợi nhuận dựa vào hành vi mua ngẫu hứng của giới trẻ để phát triển hình thức mua sắm trực tuyến...Từ khóa: Hành vi mua hàng ngẫu hứng, thương mại điện tử, sự hấp dẫn thị giác
The Impact of Technology on EFL Learning Trends and Best Practices
Authors: Ayub Alfardoos , Alvi Arif
Published: July 2023

The Impact of Technology on EFL Learning Trends and Best Practices
Cooperation is unaffected by the threat of severe adverse events in Public Goods Games
Authors: Bilancini Ennio , Boncinelli Leonardo , Nardi Chiara , Pizziol Veronica
Published: July 2023

We study how cooperation in one-shot Public Goods Games with large group sizes is affected by the presence of a slight chance of severe adverse events. We find that cooperation is substantial, notwithstanding a low marginal return of contributions. The cooperation level is comparable to what is found in similar settings for small-sized groups. Furthermore, we find no appreciable effect of the threat of severe adverse events, whether their realization is independent across individuals, perfectly positively or negatively correlated. We conclude that cooperation in the Public Goods Game is unlikely to be affected by rare adverse events, independently of how risk is correlated across individuals.
On the relationship between recognition judgments and truth judgments: Memory states moderate the recognition-based truth effect
Authors: Nadarevic Lena , Erdfelder Edgar
Published: July 2023

Repeatedly seen or heard statements are typically judged to be more likely true than statements not encountered before, a phenomenon referred to as truth effect. Similarly, statements judged to be old typically receive higher truth judgments than statements judged to be new. However, it is unclear whether and how this recognition-based truth effect depends on the latent memory states underlying observed recognition judgments. In order to investigate this question, we used a model-based approach to compare truth judgments as a function of recognition judgments ('old' versus 'new') and their underlying memory states (state of memory certainty vs. state of uncertainty). In three experiments, we observed a recognition-based truth effect and found this effect to be larger in the state of memory certainty than in the state of uncertainty. This result also replicated for subjective instead of modeled memory states. Moreover, we found effects of recognition judgments on judged truth to be stronger than effects of factual repetition in all three experiments. Taken together, our research highlights the role of episodic memory processes in the truth effect and provides a methodological tool that takes underlying memory states into account.
A Review of the Literature on Siblings of Individuals with Severe Intellectual and Developmental Disabilities
Authors: Roberts Caroline
Published: July 2023

Siblings of individuals with severe intellectual disability are underrepresented in research, yet they are simultaneously an at-risk population and a crucial population in terms of future planning (Heller & Arnold, 2010; Rossetti & Hall, 2015). This review systematically summarizes the literature with the goals of (1) characterizing the state of the literature on this subpopulation, (2) identifying evidence for differential impacts and needs in this subpopulation as compared to the umbrella population of siblings of individuals with IDD, and (3) identifying future directions researchers should take to determine the implications of these differential impact(s), should they exist. Results suggest that the research is inconclusive in many domains, but increased likelihood of negative outcomes and increased caregiving responsibilities across the lifespan are supported. Limitations include underreporting of severity and sample biases. Implications for sibling wellbeing and future planning are discussed.
Computational processes of simultaneous learning of stochasticity and volatility in humans
Authors: Piray Payam , Daw Nathaniel
Published: July 2023

Adapting to uncertain environments is crucial for survival. This study explores computational challenges in distinguishing two types of noise: volatility and stochasticity. Volatility refers to diffusion noise in latent causes, requiring a higher learning rate, while stochasticity introduces moment-to-moment observation noise and reduces learning rate. For the learner, dissociating their effects on one’s observations is challenging because they both increase the variance of observations. Previous research examined these factors separately, but it remains unclear whether and how humans dissociate them. In two large-scale experiments, through novel behavioral tasks and computational modeling, we report compelling evidence of humans dissociating volatility and stochasticity solely based on their observations. We observed contrasting effects of volatility and stochasticity on learning rates, consistent with statistical principles. These results are consistent with a computational model that estimates volatility and stochasticity by balancing their dueling effects, but not with a number of other models that fail to make this distinction. This research elucidates computational processes behind adaptive learning in uncertain environments.