bluuebunny/crossref_metadata_2025 huggingface dataset:
ESTUDIO DE INTELIGENCIA EMOCIONAL EN UN GRUPO DE ESTUDIANTES DE PRIMER INGRESO DE LA FACULTAD DE PSICOLOGÍA DE LA UNIVERSIDAD DE PANAMÁ.
Authors: Sandoya M. Régulo N. , Garay Díaz Abigail  S.
Published: January 2024

El presente estudio tuvo como objetivo conocer el nivel de inteligencia emocional que presenta un grupo de estudiantes de primer ingreso de la Facultad de Psicología de la Universidad de Panamá. Dentro de esta investigación también se pretendió establecer si las diferencias en la inteligencia emocional entre hombres y mujeres y el turno de estudio fueron significativas. El tipo de estudio fue descriptivo comparativo, con un diseño de investigación no experimental. Se trabajó con 42 estudiantes a los cuales se les aplicó el Inventario de Pensamiento Constructivo (CTI), una medida de la inteligencia emocional. Los resultados a través de este instrumento demostraron que la mayoría de los evaluados presentaron un pensamiento constructivo global por debajo de la media, por ende, tienen un modo de pensamiento rígido, se adaptan con dificultad a las situaciones, son críticos consigo mismos y con los demás, lo cual puede dificultar sus relaciones interpersonales. No se encontraron diferencias significativas en las escalas de Pensamiento Constructivo entre los estudiantes de sexo masculino y femenino de la Facultad de Psicología que cursaban el primer año de ambos turnos, es decir, el sexo no fue un factor que influyera en el pensamiento constructivo.
Pandemic politics: Exploring the intersection of state political affiliation and public universities’ COVID-19 policies and messaging
Authors: Mayer Monica , Looney Melissa , Eicher Rob , Freihaut Rebecca , Vega Jamie L. , Talton Walker J. , Flutie Armand R. , Cook Julie , Rubenking Bridget
Published: January 2024

As coronavirus disease 2019 (COVID-19) spread within the United States, the challenge of responding to a large-scale health crisis was compounded as the federal government struggled to deliver a unified response. Decision-making powers for pandemic protocols were passed to individual states, whose responses were heavily influenced by their administrations’ partisan political leanings. This study explores differences in the transparency of COVID-19 information on university websites and the restrictiveness of the measures they implemented by examining university messaging in all-Republican and all-Democrat controlled states. This study employs a quantitative content analysis of a census of websites (N = 265) from public universities located in states with government trifectas. The data reveal that masking, vaccination, and testing measures were significantly more restrictive among universities located in Democratic trifectas than in Republican trifectas. Additionally, universities in Democratic trifectas communicated more transparently, such that they were more likely to have a direct link to COVID-19 information on their homepages. The results indicate that universities in states where a single political party holds power implemented COVID-19 protocols that reflected the political viewpoints on the health and economic responses to the pandemic. This finding offers important evidence that both governments and public universities based their public health decisions on political factors.
Madrasah Pra Nikah: Program Terstruktur menuju Keluarga Harapan pada Masyarakat di Kawasan Taman Nasional Ujungkulon Kec. Cimanggu Kab. Pandeglang
Authors: Hidayat Deden , Jalaluddin  , Fitriyani  , Hamdanah  , Hani Muflihah  , Deden Inayatullah  , Siti Masitoh  , Eha Suhayati
Published: January 2024

Perkawinan merupakan ikatan lahir dan batin atau ikatan yang sangat kuat antara sorang peria dan wanita untuk mbentuk keluarga, dimana keluarga merupakan lembaga sosial yang paling dasar untuk mencetak kualitas manusia. Sampai saat ini masih menjadi keyakinan dan harapan bersama bahwa keluarga senantiasa dapat diandalkan sebagai lembaga ketahanan moral, akhlak al-karimah dalam konteks bermasyarakat, bahkan baik buruknya generasi bangsa, ditentukan pula oleh pembentukan pribadi dalam keluarga. Maka dari itu sebelum melangsungkan perkawinan perlu perencanaan yang baik salahsatunya dengan mengikuti madrasah Pra Nikah, dengan tujuan setelah menikah dapat tercapai keluarga harapan yang mampuh menjaga kedamaian cinta dan kasih saying. Unsur cinta dan kasihsayang harus ada untuk saling melengkapi agar pasangan dapat saling membahagiakan
Pengembangan Masyarakat Sebagai Upaya Membangun Desa Mandiri dan Bebas Stunting
Authors: Maulidia Fitri  , Indriyani Lidia Tiyana , Hidayat Rahmat
Published: January 2024

Pembangunan keberlanjutan yang dicanangkan secara sekala nasional ialah indeks pembangunan manusia yang terbebas dari stunting (SDGs). Uraian kegiatan-kegiatan yang dirasa cukup untuk menunjang dan menekan angka atau mengatasi hal tersebut adalah dengan selalu menjalin kerjasama yang bersinergi antar sektor melalui rangkaian kegiatan promotive, preventif dan kuratif. Maka dari itu di dalam upaya menekan dan menanggulangi persoalan stunting perlu melibatkan peran aktif keluarga. Regulasi dan upaya strategis dimuat dalam program pemerintah dirasa menjadi langkah yang strategis dalam menekan angka stunting tersebut. Upaya di dalam merealisasikan desa mandiri adalah dengan menekah angka kemiskinan dengan menaikan rasio kesejahteraan masyarakatnya. Sebagaimana yang diamanahkan dalam UU No. 6 2004 tentang desa berkaitan dengan role map pembangunan dan pemberdayaan masyarakat menjadi sejahtera. Pengembangan dan peningkatan jasmani, ekonomi dan rohani yang sehat adalah bentuk implikasi kesejahteraan keluarga. Dalam Indeks Desa Membangun Sidoharjo dengan kategori berkembang, dengan sumber daya alam memadai guna kemandirian desa. Menyoal hal tersebut terdapat beberapa sisi yang perlu untuk diperhatikan dalam pengembangan masyarakatnya adalah persoalan stunting. Kurangnya kelompok masyarakat dalam upaya pemberdayaan dan memberikan pemahaman transfer of knowledge di dalam pelayanan dasar dan pemberdayaan perempuan, prilaku sehat masyarakat, pembangunan ekonomi produktif yang masih minim. Untuk itu perlunya peran masyarakat secara luas dalam memberikan pengetahuan akan stunting dengan memperkuat kelompok masyarakat. Memberikan penguatan pemberdayaan ekonomi, pemahaman, pelatihan dan sosialisasi peraturan pemerintah. Dengan memperhatikan metode mikro teaching dalam setiap kegiatan sebagai upaya menekan angka stunting. Assesment terhadap kader kesehatan, pelatihan dan pengembangan ibu rumah tangga tentang makanan bergizi, ekonomi kreatif dan kemampuan keluarga dalam angka kemiskinan.
Edukasi Diversifikasi Olahan Cabai Pada Masyarakat di Kampung KB Yosodadi Dalam Pengendalian Inflasi
Authors: Etik Puji Handayani  , Rakhmiati  , Tri Aristi Saputri
Published: January 2024

Menurunnya produksi cabai menyebabkan kelangkaan barang dan tingginya harga, namun pada saat panen raya harga kedua komoditas jatuh, sehingga cabai merupakan komoditas hortikultura penyumbang inflasi ketika permintaan konsumen tinggi seperti Sebelum masuknya Hari Raya, Natal, dan Tahun Baru.. Permasalahan utama pada Masyarakat Kampung Keluarga Berkualitas (KB) Yosodadi, Kota Metro belum memiliki kesadaran dan ilmu pengetahuan yang tinggi dalam pengolahan cabai menjadi aneka produk. Sementara Cabai bertekstur lunak dan berkulit ari tipis, sehingga cepat mengalami pembusukan dan Lama penyimpanan yang relatif pendek. apalagi jika kerusakan secara mekanis dan fisik terjadi. Sehingga memerlukan perawatan pasca panen yang tepat. untuk atasi tingkat penyusutan yang lebih tinggi. Solusi yang ditawarkan adalah kegiatan mengedukasi Masyarakat Kampung KB dengan ragam teknologi yang dikembangkan untuk meningkatkan daya tahan penyimpanan cabai dalam berbagai macam bentuk produk olahan cabai. Hasil dari sosialisasi/penyuluhan dan pelatihan menunjukkan antusias dan minat yang tinggi dari peserta selama kegiatan berlangsung. Diversifikasi olahan cabai yang dilakukan berupa cabai bubuk, bon cabai, minyak cabai, saos cabai dan manisan cabai.
Pengembangan Kewirausahaan Melalui Pelatihan Pembuatan Bunga Hias dari Sampah Plastik Kelurahan Sako Baru
Authors: Hartati Hartati , Saputra Alpin H. , Diana Mustika , Iisnawati Iisnawati , Hermansyah Hermansyah , Teguh Teguh , Anthony Steven
Published: January 2024

Kelurahan Sako Baru terbentuk Tanggal 18 Agustus 2007. Kelurahan Sako Baru memiliki Bank sampah yang bernama “Bank Sampah Melati”. Kelurahan Sako Baru juda terdapat salah Satu Prioritas Program PKK Sako Baru adalah Pengembangan Kehidupan Berkoperasi. Adapun Pelaksanaan Programnya adalah Pemberian keterampilan keluarga dalam upaya peningkatan dan pemberdayaan ekonomi kelurga melalui pengembangan ekonomi kreatif dan usaha mikro kecil, serta pengembangan kehidupan berkoperasi. Pelatihan Pembuatan Bunga Hias dari Sampah Plastik Bank Sampah Melati PKK Kelurahan Sako Baru dapat menghasilkan produk-produk kreativitas atau produk inovatif yang mudah dikerjakan dan dipasarkan. Metode Pengabdian yang digunakan adalah Participatory Action Research (PAR) Dari data yang kami peroleh dari Kelurahan Sako Baru termasuk warga yang  tingkat pendapatannya rata-rata rendah. Selanjutnya juga berdasarkan hasil wawancara di lapangan sebagian besar wanita Kelurahan Sako Baru tidak bekerja, ataupun bekerja musiman, ibu rumah tangga sehingga sangat menunjang apabila diberikan tambahan keterampilan untuk “Pelatihan Membuat Bunga Hias dari Sampah Plastik“. Dengan demikian kegiatan PKM ini dapat mengembangkan kewirausahaan Kelurahan Sako Baru dan meningkatkan keterampilan  PKK dalam membuat Bunga Plastik dari sampah kresek plastik yang siap dipasarkan. Metode pelaksanaan diawali dengan pemberian penyuluhan, Sosialisasi, pelatihan, praktik, dan penilaian bagaimana layaknya barang untuk dipasarkan. Harapan dari PKM ini adalah adanya peningkatan ekonomi dikalangan keluarga melalui pemanfaatan lingkungan sebagai sumber penghasilan masyarakat.
LITERACY AND HYPERACTIVITY IN EARLY EARLY EDUCATION
Authors: Maria da Silva Berenice , Edjane da Silva Soares Guabira Maria , José Brito da Silva Maria , Gomes de Souza Laudenice , Cândido Pereira Edjanete , Farias Santos da Silva Adriana , Maria da Silva Josina , Berto Silva Gledson , Edjanir Cândido Pereira Maria , Margarete do Nascimento Mendonça Maria
Published: January 2024

This article aims to observe how literacy happens in hyperactive children in early childhood education. The term literacy has currently been used by some scholars to designate the process of developing reading and writing skills in social and professional practices. It is known that hyperactive children have concentration and learning difficulties. However, it needs attention so that literacy can occur in literacy activities. The understanding of the professional (teacher and psychologist) is essential to facilitate the understanding of reading and writing for students with ADHD (Attention Deficit Hyperactivity Disorder) or ADD (Attention Deficit Disorder). However, it is possible to deal with this group of students, work and interact with them. Because, their knowledge of the world prevails and provides them with reading and writing skills. Children with hyperactivity disorders need initiatives from teachers at school so that attention deficit problems can be overcome and teaching, learning and literacy can flow both in writing and reading and in social practice.
Study of gold-bearing ores using gravity enrichment methods
Authors:   Satbayev University, Askarova G.E. , Begalinov A.B. ,   Satbayev University, Shautenov M.R. ,   Satbayev University, Amantaiuly K. ,   Al-Farabi Kazakh national university
Published: January 2024

The article discusses issues related to increasing the efficiency of extracting gold-bearing ores from poor ores using the gravity enrichment method. Gold is a metal whose production and consumption are least susceptible to high fluctuations in the global and domestic markets. Global gold production faces certain challenges, including the depletion of rich and easily enrichable ores and shallow deposits suitable for open-pit mining. However, the simultaneous sharp increase in energy resources and transportation costs has reduced the profitability of domestic mining and technological production. The high variability in content, mineral composition, the presence of a large number of impurities, and differences in the forms and nature of deposits place gold among the most challenging raw materials to process. This requires the integration of various methods of enrichment and processing. The author presents the impact of the centrifugal concentrator Nelson (Knelson) on increasing the gold recovery from gold-bearing poor ores under high climatic conditions. The increase in extraction is achieved through the disruption of ore structure, substantial density reduction, and enhanced mineral liberation through gravity, reaching up to 63%. Thus, the optimization is classified as fine and medium-grained gold.
Environmental impact assessment and natural-climatic, geoecological characteristics of uranium mining enterprises of Karatau LLP
Authors:   Almaty Technological University, Berkinbayeva A.S. , Sabitkyzy B. ,   Satbayev University, Sembek K.M. ,   Satbayev University
Published: January 2024

This article discusses the conduct of geoecological research, the need for which depends on the process of uranium mining by underground well leaching, the relevance of environmental problems. As a result of geoecological studies, data on soil, vegetation cover, underground water and atmospheric air pollution will be obtained, which characterize the state of the environment. The high concentration of chemical elements and their compounds allows us to identify the causes and sources of contamination. Research methods necessary for conducting research are determined considering specific natural-territorial complexes (NTC), geomorphological, geochemical and other conditions. They may include the results of previously conducted geological, engineering-geological, hydrogeological and geochemical studies.
Pengaruh Periode Piutang Dagang Terhadap Tingkat Profitabilitas pada Perusahaan Jasa Perhotelan
Authors: Meyla Nur Vita Sari
Published: January 2024

Penelitian ini bertujuan untuk mengetahui pengaruh piutang dagang dalam peningkatan pendapatan dalam industri perhotelan di kota malang. Metode penelitian ini menggunakan kuantitatif deskriptif dengan menggunakan metode sebab akibat atau analisis regresi. Analisis regresi linier sederhana dimaksudkan untuk menjabarkan serta menggambarkan sifat dari hubungan antara periode penagihan piutang dengan profitabilitas perusahaan. Penelitian ini berdasarkan pada periode lima tahun dari tahun 2018 hingga akhir tahun 2022. Dari tujuan peneliti yaitu mengetahui apakah dalam periode penagihan piutang berpengaruh terhadap profitabilitas hotel di kota malang, didapatkan bahwa profitabilitas hotel di kota malang dipengaruhi oleh jumlah waktu dalam hari yang dibutuhkan manajemen hotel untuk mengumpulkan kas dari debitur
Penilaian Prestasi Kerja Berbasis Akuntansi
Authors: Meyla Nur Vita Sari  , Dyah Sawitri  , Umi Muawanah
Published: January 2024

Penelitian ini bertujuan untuk mengkaji dan membandingkan model penilaian prestasi kerja berbasis akuntansi dengan menggunakan sistem balance scorecard . Data dikumpulkan melalui obeservasi, wawancara dan dokumentasi. Selanjutnya dianalisis menggunakan sistem balance scorecard. Temuan penelitian berdasarkan penerapan balance scorecard pada empat perspektif adalah baik. Perspektif keuangan dengan menunjukkan efisiensi dalam pengelolaan keuangan. Perspektif Pelanggan memberikan dampak positif dengan adanya kepuasan yang diterima selama menginap. Perspektif bisnis internal kinerja karyawan yang semakin baik dengan berpedoman terhadap standart operational procedure dalam proses bekerja dilapangan. Perspektif Pembelajaran dan Pertumbuhan yang merupakan pemacu dalam loyalitas karyawan terhadap perusahaan.
REVIEW OF INNOVATIVE SUPPLY CHAIN MODELS IN THE U.S. PHARMACEUTICAL INDUSTRY: IMPLICATIONS AND ADAPTABILITY FOR AFRICAN HEALTHCARE SYSTEMS
Authors: Osato Itohan Oriekhoe  , Bankole Ibrahim Ashiwaju  , Kelechi Chidiebere Ihemereze  , Uneku Ikwue  , Chioma Ann Udeh
Published: January 2024

This comprehensive review explores innovative supply chain models within the U.S. pharmaceutical industry and examines their implications and adaptability for healthcare systems in Africa. The U.S. pharmaceutical sector is characterized by intricate logistics, stringent regulatory frameworks, and a dynamic market landscape. Through a detailed examination of pioneering supply chain models, this review aims to identify best practices, challenges, and opportunities that may inform strategies for enhancing pharmaceutical supply chains in African healthcare systems. Key considerations include the integration of advanced technologies, regulatory compliance, and collaborative partnerships within the pharmaceutical supply chain. The implications of these innovative models for African healthcare systems are assessed in the context of the unique challenges faced by the continent, such as limited infrastructure, diverse regulatory environments, and varying socio-economic conditions. The review underscores the potential for knowledge transfer and adaptation of successful U.S. supply chain models to bolster the efficiency, accessibility, and affordability of pharmaceuticals in Africa. Moreover, it emphasizes the importance of tailoring strategies to the specific needs of each region, considering factors such as local infrastructure, regulatory frameworks, and the socio-economic landscape. By synthesizing insights from the U.S. pharmaceutical industry and evaluating their applicability to African healthcare systems, this review contributes to the ongoing discourse on strengthening global health supply chains. It provides a foundation for policymakers, healthcare professionals, and industry stakeholders to develop contextually relevant strategies that enhance pharmaceutical accessibility, affordability, and overall healthcare outcomes across the African continent.

Keywords:  Supply Chain, Pharmaceutical, Healthcare, USA, Innovation.
COMPARISON OF LACOSAMIDE VERSUS LEVODOPA IN THE TREATMENT OF RESTLESS LEGS SYNDROME IN HEMODIALYSIS PATIENTS
Authors: Muhammad Ameem  , Butt Nasir Farooq , Rathore Rabia , Latif Hina , Siddique Uzma , Iqbal Adil
Published: January 2024

ABSTRACT

Objective: To compare Lacosamide and Levodopa for treating restless-legs-syndrome in hemodialysis patients in terms of mean change of International Restless Leg Syndrome (IRLS) score.

Methods: It was a Randomize control trail done at Department of Medicine & Nephrology Department of Mayo hospital, Lahore from April 2019 to March 2020. After taking approval from institutional-Review-board (IRB) of the King Edward Medical University (KEMU), sixty patients coming to hemodialysis unit of Mayo Hospital, Lahore and fulfilling the inclusion criteria were enrolled for study. We used lottery method and randomly divided them in to two groups that is   Group-A: Lacosamide (50 mg) given at bedtime. (30 cases) and Group-B: Levodopa (110 mg) given daily 2 hours before bedtime (30 cases). Treatment was continued for 4 weeks. We calculated IRLS score at start of study and four week after treatment and any Change  from baseline was calculated for every patient.  That difference of –IRLS score documented on the attached Performa along with demographic details about patient.

Results: This study showed that after 4 weeks of treatment there was not much difference   seen in International Restless Leg Syndrome score in each treatment groups. i.e. [Pre-Treatment (Lacosamide: 20.80±4.78 vs. Levodopa: 22.60±4.66), Post Treatment (Lacosamide: 14.20±2.89 vs. Levodopa: 15.73±3.58), Mean change of score (Lacosamide: 7.10±4.99 vs. Levodopa: 6.86±6.63 . p - Value = 0.878)

Conclusion: This trial concludes  that Levodpoa and Lacosamide were equally good in treating Restless-Legs-Syndrome among patients who are on Hemodialysis.

Key words: Restless legs syndrome, Hemodialysis, Lacosamide, Levodopa.
Proud Boys on Telegram
Authors: Zhong Wei , Bailard Catie , Broniatowski David , Tromble Rebekah
Published: January 2024

Utilizing an original data set of public Telegram channels affiliated with a right-wing extremist group, the Proud Boys, we conduct an exploratory analysis of the structure and nature of the group’s presence on the platform. Our study considers the group’s growth, organizational structure, connectedness with other far-right and/or fringe factions, and the range of topics discussed on this alternative social media platform. The findings show that the Proud Boys have a notable presence on Telegram, with a discernable spike in activity coinciding with Facebook’s and Instagram’s 2018 deplatforming of associated pages and profiles with this and other extremist groups. Another sharp increase in activity is then precipitated by the attack on the U.S. Capitol Building on January 6, 2021. By February 2022, we identified 92 public Telegram channels explicitly affiliated with the Proud Boys, which constitute the core of a well-connected network with 131,953 subscribers. These channels, primarily from the United States, also include international presences in Australia, New Zealand, Canada, the UK, and Germany. Our data reveals substantial
interaction between the Proud Boys and other fringe and/or far-right communities on Telegram, including MAGA Trumpists, QAnon, COVID-19-related misinformation, and white-supremacist communities. Content analyses of this network highlights several prominent and recurring themes, including opposition to feminism and liberals, skepticism toward official information sources, and propagation of various conspiracy beliefs. This study offers the first systematic examination of the Proud Boys on Telegram, illuminating how a far-right extremist group leverages the latitude afforded by a relatively unregulated alternative social media platform.
ТЕРЕҢ ОҚЫТУ ӘДІСТЕРІН ҚОЛДАНА ОТЫРЫП НАҚТЫ УАҚЫТТАҒЫ ЖОЛДЫҢ ЗАҚЫМДАНУЫН АНЫҚТАУ
Authors:   әл-Фараби атындағы Қазақ Ұлттық Университеті,  Алматы, Қазақстан, Омаров Батырхан , Бекберген Орынкүл ,   әл-Фараби атындағы Қазақ Ұлттық Университеті,  Алматы, Қазақстан, Куламбаев Бахытжан ,   «Туран» университеті, Алматы, Қазақстан
Published: January 2024

Жолдың зақымдануы инфрақұрылым мен жол қауіпсіздігі саласындағы күрделі мәселе. Бұл шұңқырлар, жарықтар, асфальт төсемінің бұзылуы және жол бетіндегі көптеген басқа ақаулар сияқты әртүрлі зақымдарды қамтиды. Зақымданған жолдар жүргізушілер мен жаяу жүргіншілерге қауіп төндіруі мүмкін, бұл апаттарға, көліктердің бұзылуына, тіпті жарақатқа әкеледі. Көлік құралдары көп жүретін аудандардағы жолдардың зақымдануын анықтау және жою жол-көлік оқиғаларының қаупін азайту үшін маңызды. Мұндай зақым жол қозғалысына қатысушылар үшін айтарлықтай қауіп төндіреді, бұл апаттар мен жарақаттарға әкелуі мүмкін. Жол жағдайларын бақылаудың заманауи әдістері фото және бейнебақылауды қолданады, бірақ қолмен бағалау және деректерді талдау көп уақытты қажет етеді. Тексеру және бағалау процедураларын жақсарту үшін компьютерлік көру және терең оқыту әдістерін қолдануға болады. Бұл мақалада нақты уақыт режимінде жол жамылғысының ақауларын анықтау үшін маска аймағына негізделген конволюциялық нейрондық желі архитектурасына (mask R-CNN) негізделген модель ұсынылады. Python және TensorFlow көмегімен модель деректерін жинау және оқыту процесі сипатталған және модель шектеулі бастапқы деректерде де тиімді екендігі көрсетілген. Эксперимент нәтижелері қайталанудың жоғары деңгейін көрсетеді: Mask R-CNN жолдағы зақымдануды анықтау және сегменттеудің жоғары көрсеткіштеріне қол жеткізді, соның ішінде 0,9214 дәлдік ұпайы, 0,9876 еске түсіру ұпайы және анықтау үшін 0,9571 F1 ұпайы, сондай-ақ 0,3488 біріктіру қиылысу ұпайы (IoU) және сегменттеу үшін 0,7381 сүйек ұқсастығы коэффициенті.
ПРОГНОЗИРОВАНИЕ НАГРУЗОК В ЭЛЕКТРИЧЕСКИХ СЕТЯХ С ИСПОЛЬЗОВАНИЕМ РЕКУРРЕНТНЫХ НЕЙРОННЫХ СЕТЕЙ В УСЛОВИЯХ НЕДОСТАТОЧНОСТИ ИНФОРМАЦИИ О ПАРАМЕТРАХ ПОТРЕБЛЕНИЯ
Authors:   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева», Алматы, Казахстан, Кенесов Ерлан , Васильев Даниил ,   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева», Алматы, Казахстан, Тохтибакиев Кармель ,   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева», Алматы, Казахстан, Ильясов Азамат ,   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева», Алматы, Казахстан
Published: January 2024

Эффективное планирование и управление ЭЭС существенно зависит от точных прогнозов электрических нагрузок на различных этапах ведения режимов ЭЭС. В условиях постоянного роста потребления электроэнергии и изменяющихся климатических условий в электрических сетях нефтегазового комплекса задача разработки точных и надежных методов прогнозирования становится все более критичной. Одним из перспективных направлений и мощным инструментом для решения таких задач в последнее десятилетие стали нейронные сети, выполняющие прогнозирование электрических нагрузок на основе методов обучающихся систем. В данной статье предложено использование модели рекуррентной нейронной сети с долговременной памятью (LSTM – Long-Short Term Memory) для прогнозирования электрических нагрузок. Преимущество этого метода состоит в том, что, в сравнении с существующими методами, LSTM способен учитывать и моделировать долгосрочные зависимости временных рядов за счет наличия в модели ячейки памяти, которая позволяет выявлять неявные корреляции в данных потребления. Практическое значение данного метода заключается в том, что предлагаемая модель апробирована на реальном наборе данных подстанции 220 кВ. Произведено сравнение модели прогнозирования на основе нейронной сети LSTM со статистическим методом прогнозирования ARIMA, результаты показали среднюю абсолютную процентную ошибку (MAPE – Mean Absolute Percentage Error) 5,57% для модели LSTM и 17,087% для модели ARIMA соответственно.
МАТЕМАТИЧЕСКОЕ ОБЕСПЕЧЕНИЕ СИСТЕМЫ УПРАВЛЕНИЯ ПОДГОТОВКОЙ, РЕМОНТОМ И ОБСЛУЖИВАНИЕМ ВОЕННОЙ ТЕХНИКИ
Authors:   НАО «Алматинский университет энергетики и связи имени Гумарбека Даукеева», Алматы, Казахстан, Исмаил Есмагамбет , Кадиркулов Шингис ,   2Военный институт Сухопутных войск имени Сагадата Нурмагамбетова Министерства обороны РК, Алматы, Казахстан, Бопеев Тимур ,   Алматинский институт технологий, Алматы, Казахстан, Сухенко Анна ,   Алматинский институт технологий, Алматы, Казахстан
Published: January 2024

На сегодняшний день наблюдается, что передовые зарубежные страны для своей военной отрасли активно развивают направление разработки собственных систем для обслуживания военной техники и отработки практических навыков ее обслуживания, которые реализуются на основе технологии дополненной реальности на базе современных устройств, таких как смартфоны, планшеты или очки дополненной реальности, и позволяют выводить интерактивную информацию о деталях и узлах военной техники. Программно-математическое обеспечение данных систем решает задачу поиска распознавания объектов на изображениях. Целью данной работы является разработка математического обеспечения для отечественной системы управления подготовкой, ремонтом и обслуживанием военной техники с использованием технологий дополненной реальности. Основными задачами исследования являются: разработка математических моделей распознавания изображений для представленной системы, которые основаны на алгоритмах выделения особых точек и их сопоставлениях. Для выделения особых точек на изображении в данной работе использован алгоритм KAZE с применением Fast explicit diffusion, который обеспечивает высокую скорость обработки изображений и инвариантность к различным преобразованиям. Сопоставление особых точек и их дескрипторов выполнено с использованием трехуровневой модели, включая методы K-Nearest Neighbours, Nearest Neighbor Distance Ratio и Random Sample Consensus, что обеспечило надежное определение соответствия точек на разных изображениях. Результаты тестирования представленного математического обеспечения показали, что оно позволяет с высокой точностью определять сходство между объектами на двух изображениях и успешно идентифицирует узлы/детали военной техники. На текущий момент в Казахстане, в области управления подготовкой, ремонтом и обслуживанием военной техники, системы на основе технологии дополненной реальности еще не применялись, поэтому новизна данной работы заключается в разработке математического обеспечения для отечественной системы управления подготовкой, ремонтом и обслуживанием военной техники с использованием технологий дополненной реальности.
ПРИМЕНЕНИЕ МЕТОДА МАШИННОГО ОБУЧЕНИЯ ДЛЯ ИССЛЕДОВАНИЯ ПРОБЛЕМ ОТМЫВАНИЯ ДЕНЕГ И ФИНАНСИРОВАНИЯ ТЕРРОРИЗМА В РЕСПУБЛИКЕ КАЗАХСТАН
Authors:   Международный Университет Информационных Технологии, Алматы, Казахстан, Кулбаева Алия , Рахметулаева Сабина ,   Казахстанско-Британский технический университет, Алматы, Казахстан, Болшибаева Айгерим ,   Казахстанско-Британский технический университет, Алматы, Казахстан, Мукашева Асель ,   Казахстанско-Британский технический университет, Алматы, Казахстан
Published: January 2024

В данном исследовании описываются методы обнаружения отмывания денег с использованием машинного обучения и анализа данных. Основное внимание уделяется борьбе с ограничениями доступа к реальным данным из-за конфиденциальности, а также дисбалансу классов в задаче обнаружения. Научная новизна данного исследования заключается в том, что исследуются два основных метода: обучение с учителем и обучение без учителя. Описаны преимущества методов обучения с учителем, особенно при доступе к данным с известными метками. В рамках этой работы подчеркивается важность использования синтетических данных для обучения и тестирования моделей с целью широкого финансового охвата экосистемы. Целью статьи является обсуждение методов борьбы с дисбалансом классов и случайным недопространством для повышения эффективности моделей. Практическая значимость данного исследования заключается в подчеркивании важности постоянного развития методов обнаружения финансовых преступлений и в призыве к исследованиям и улучшениям в этой области.
МЕТОДЫ РАСПОЗНАВАНИЯ ИЗОБРАЖЕНИЙ ДЛЯ РАННЕГО ВЫЯВЛЕНИЯ ДИАБЕТИЧЕСКОЙ РЕТИНОПАТИИ
Authors:   Институт информационных и вычислительных технологий, Алматы, Казахстан, Мамырбаев Оркен , Павлов Сергей ,   Винницкий Национальный Технический Университет, Винниция, Украина, Момынжанова Кымбат ,   Казахский Национальный Университет имени аль-Фараби, Алматы, Казахстан
Published: January 2024

В данном исследовании рассматривается проблема растущей пандемии диабета, касающаяся более 420 миллионов человек по всему миру к началу 2020 года, с диабетической ретинопатией как одним из серьезных осложнений, способных привести к потере зрения. Для эффективной диагностики этого осложнения была разработана информационная система, использующая методы машинного обучения и обработки изображений. Основной целью исследования являлось повышение точности диагностики диабетической ретинопатии с использованием методов предварительной обработки изображений и системы поддержки принятия решений, основанной на нейросетевых технологиях. В данном исследовании основной акцент был сделан на применение нейронных сетей, включая как классические, так и глубокие, для создания оптимальной модели диагностики. Таким образом, при обработке сложных биологических нейронов и больших объемов данных возникла потребность в новых методах, что приводит к развитию методов машинного обучения. Для анализа был применен набор данных, состоящий из более 35 000 обучающих и 15 000 тестовых изображений глазного дна человека с разрешением более 2000x3000 пикселей, доступных на kaggle.com. Несмотря на проблемы с разрешением и наличие шума, в статье был применен медианный фильтр для обработки информации, особенно в условиях шумных изображений. После обучения диагностической системы на обучающих данных, система тестировалась на исключенных данных для сравнения предсказаний с фактическими значениями. Вследствие была использована матрица путаницы для оценки качества модели классификации. Для оценки надежности классификации применены стандартные метрики, такие как точность, точность классификации, полнота и специфичность. Новизна данного исследования заключается в применении методов предварительной обработки изображений и системы поддержки принятия решений, основанной на нейросетевых технологиях, для повышения точности диагностики диабетической ретинопатии.
PENGARUH KARAKTERISTIK TIM DAN KERJASAMA TIM TERHADAP EFEKTIFITAS TIM PADA PEGAWAI TATA USAHA SEKOLAH MENENGAH ATAS NEGERI KABUPATEN LOMBOK BARAT
Authors: SUHARDI MUHAMAD
Published: January 2024

This research aims to obtain information regarding the influence of team characteristics and team collaboration on the effectiveness of administrative teams of state high school administrative employees in West Lombok Regency for the 2021/2022 academic year. This research was conducted using a survey method with path analysis to test the hypothesis. In this study, 92 out of 120 school administration teachers were selected by random sampling. Research is focused on the main aspects; Team characteristics and teamwork on team employee school administration effectiveness. Data was collected by questionnaire and analyzed by path analysis. The results of the analysis concluded that (1) there was a positive direct influence of team characteristics on team effectiveness, (2) there was a positive direct influence of teamwork on team effectiveness and (3) there was a positive direct influence of team characteristics on teamwork.
ABSTRAKPenelitian ini bertujuan untuk memperoleh informasi mengenai pengaruh karakteristik tim dan kerjasama tim terhadap efektivitas tim administrasi pegawai tata usaha SMA Negeri se Kabupaten Lombok Barat tahun pelajaran 2021/2022. Penelitian ini dilakukan dengan menggunakan metode survei dengan analisis jalur dalam menguji hipotesis. Dalam penelitian ini, 92 dari 120 guru pegawai administrasi sekolah dipilih secara random sampling. Penelitian difokuskan pada aspek pokok; karakteristik tim dan kerja tim terhadap tim efektivitas administrasi sekolah karyawan. Data dikumpulkan dengan kuesioner dan dianalisis dengan analisis jalur. Hasil analisis disimpulkan bahwa (1) terdapat pengaruh langsung positif karakteristik tim terhadap efektivitas tim, (2) terdapat pengaruh langsung positif kerja tim terhadap efektivitas tim dan (3) terdapat pengaruh langsung positif karakteristik tim menuju kerja tim.
A Study on the Transformer-CNN Imputation Method for Turbulent Heat Flux Dataset in the Qinghai-Tibet Plateau Grassland
Authors: Hou Quanzhe , Gao Zhiqiu , Duan Zexia , Yu Minghui
Published: January 2024

Abstract. Based on the turbulent heat flux from the third scientific expedition to the Qinghai-Tibet Plateau in 2012, imputation evaluations were conducted using algorithms like Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and the Transformer model with deep self-attention mechanism. Results indicated that the Transformer model performed optimally. To further enhance imputation accuracy, a combined model of Transformer and Convolutional Neural Network (CNN), termed as Transformer_CNN, was proposed. Herein, while the Transformer primarily focused on global attention, the convolution operations in the CNN provided the model with local attention. Experimental outcomes revealed that the imputations from Transformer_CNN surpassed the traditional single artificial intelligence model approaches. The coefficient of determination (R2) reached 0.949 in the sensible heat flux test set and 0.894 in the latent heat flux test set, thereby confirming the applicability of the Transformer_CNN model for data imputation of turbulent heat flux in the Qinghai-Tibet Plateau. Ultimately, the turbulent heat flux observational database from 2007 to 2016 at the station was imputed using the Transformer_CNN model.
Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo and Thermodynamic Integration
Authors: Mingo Damian N. , Nijzink Remko , Ley Christophe , Hale Jack S.
Published: January 2024

Abstract. We develop a method for computing Bayes’ factors of conceptual rainfall-runoff models based on thermodynamic integration, gradient-based replica-exchange Markov Chain Monte Carlo algorithms and modern differentiable programming languages. We apply our approach to the problem of choosing from a set of conceptual bucket-type models with increasing dynamical complexity calibrated against both synthetically generated and real runoff data from Magela Creek, Australia. We show that using the proposed methodology the Bayes factor can be used to select a parsimonious model and can be computed robustly in a few hours on modern computing hardware. We introduce formal posterior predictive checks for the selected model. The prior calibrated posterior predictive p-value, which also tests for prior data conflict, is used for the posterior predictive checks. Prior data conflict is when the prior favours parameter values that are less likely given the data.
Magnesium isotope fractionation processes during seafloor serpentinization and implications for serpentinite subduction
Authors: Nielsen Sune G. , Klein Frieder , Marschall Horst R. , Pogge von Strandmann Phillip A. E. , Auro Maureen
Published: January 2024

Abstract. Studies of magnesium (Mg) isotope ratios in subduction zone lavas have revealed small, but significant offsets from the mantle value with enrichments in the heavy isotopes. However, the very high concentration of Mg in the mantle contrasts with much lower concentrations in the subducted igneous crust and oceanic sediments, making these subduction components unlikely vehicles of the Mg isotope anomalies in arc lavas. Only serpentinites, which in various proportions form part of oceanic plates, have high Mg contents comparable to fresh mantle rocks and have thus been considered a potential source of exotic Mg in the source of arc magmas. In this study we analyzed serpentinite samples from different oceanic settings for their Mg isotopic compositions. The majority of samples are indistinguishable from the depleted mantle (δ26Mg = −0.24 ± 0.04 ‰) irrespective of their origin. Only a small number of seafloor-weathered serpentinites are slightly enriched in the heavy isotopes (up to δ26Mg = −0.14 ± 0.03 ‰), implying that bulk serpentinites are unlikely sources of isotopically anomalous Mg in subduction zones. We also developed a partial-dissolution method in which 5 % acetic acid for 180 minutes was shown to fully dissolve the minerals brucite and iowaite while leaving the serpentine mineral chrysotile essentially undissolved. Partial dissolution of 11 bulk serpentinite samples revealed a Mg isotopic composition of brucite (±iowaite) that is systematically ~0.25 ‰ heavier than that of coexisting serpentine. Thus, preferential breakdown of brucite and/or iowaite in a subducted slab prior to serpentine could preferentially release isotopically heavy Mg, which could subsequently be transported into the source region of arc magmas. Such a scenario would require brucite/iowaite breakdown to occur at pressures in excess of 3 GPa and produce fluids with very high concentrations of Mg that could be transported to arc magma source regions. Whether these conditions are met in nature has yet to be experimentally investigated.
Soil respiration across a variety of tree-covered urban green spaces in Helsinki, Finland
Authors: Karvinen Esko , Backman Leif , Järvi Leena , Kulmala Liisa
Published: January 2024

Abstract. As an increasing share of the human population is being clustered in cities, urban areas have swiftly become the epicentres of anthropogenic carbon (C) emissions. Understanding different parts of the biogenic C cycle in urban ecosystems is needed in order to assess the potential of enhancing their C stocks as a cost-efficient means to balance the C emissions and mitigate climate change. Here, we conducted a field measurement campaign over three consecutive growing seasons to examine soil respiration carbon dioxide (CO2) fluxes and soil organic carbon (SOC) stocks at four measurement sites in Helsinki representing different types of tree-covered urban green space commonly found in northern European cities. We expected to find variation in the main drivers of soil respiration – soil temperature, soil moisture, and SOC – as a result of the heterogeneity of urban landscape, and that this variation would be reflected in the measured soil respiration rates. In the end, we could see fairly constant statistically significant differences between the sites in terms of soil temperature but only sporadic and seemingly momentary differences in soil moisture and soil respiration. There were also statistically significant differences in SOC stocks: the highest SOC stock was found in inactively managed deciduous urban forest and the lowest under managed streetside lawn with common linden trees. We studied the impacts of the urban heat island (UHI) effect and irrigation on heterotrophic soil respiration with process-based model simulations, and found that the variation created by the UHI is relatively minor compared to the increase associated with active irrigation, especially during dry summers. We conclude that, within our study area, the observed variation in soil temperature alone was not enough to cause variation in soil respiration rates between the studied green space types, perhaps because the soil moisture conditions were uniform. Thus, irrigation could potentially be a key factor in altering the soil respiration dynamics in urban green space both within the urban area and in comparison to non-urban ecosystems.
Accuracy of the Scalar Magnetometer aboard ESA's JUICE Mission
Authors: Amtmann Christoph , Pollinger Andreas , Ellmeier Michaela , Dougherty Michele , Brown Patrick , Lammegger Roland , Betzler Alexander , Agú Martín , Hagen Christian , Jernej Irmgard , Wilfinger Josef , Baughen Richard , Strickland Alex , Magnes Werner
Published: January 2024

Abstract. The paper discusses the accuracy of the scalar Coupled Dark State Magnetometer on board the Jupiter Icy Moon Explorer (JUICE) mission of the European Space Agency. The scalar magnetometer, referred to as MAGSCA, is part of the J-MAG instrument. MAGSCA is an optical, omni-directional scalar magnetometer based on coherent population trapping, a quantum interference effect, within the hyperfine manifold of the 87Rb D1 line. The measurement principle is only based on natural constants and therefore, it is in principle drift free and no calibration is required. However, the technical realisation can influence the measurement accuracy. The most dominating effects are heading characteristics, which are deviations of the magnetic field strength measurements from the ambient magnetic field strength. The verification of the accuracy and precision of the instrument is required to ensure its compliance with the performance requirement of the mission: 0.2 nT (1-σ). The verification is carried out with four dedicated sensor orientations in a Merritt coil system, which is located in the geomagnetic Conrad observatory. The coil system is used to compensate the Earth’s magnetic field and to apply appropriate test fields to the sensor. This paper presents a novel method to separate the heading characteristics of the instrument from residual (offset) fields within the coil system by fitting a mathematical model to the measured data. It allows verifying that the MAGSCA sensor unit does not have a measurable remanent magnetisation as well as that the desired accuracy of 0.2 nT (1-σ) is achieved by the MAGSCA flight hardware for the JUICE Mission.
A double-Manning approach to compute robust rating curves and hydraulic geometries
Authors: Wickert Andrew D. , Jones Jabari C. , Ng Gene-Hua Crystal
Published: January 2024

Abstract. Rating curves describe river discharge as a function of water-surface elevation ("stage"), and are applied globally for stream monitoring, flood-hazard prediction, and water-resources assessment. Because most rating curves are empirical, they typically require years of data collection and are easily affected by changes in channel hydraulic geometry. Here we present a straightforward strategy based on Manning's equation to address both of these issues. This "double-Manning" approach employs Manning's equation for flow in and above the channel and a Manning-inspired power-law relationship for flows across the floodplain. When applied to data from established stream gauges, we can solve for Manning's n, channel-bank height, and two floodplain-flow parameters. When applied to limited data from a field campaign, constraints from Manning's equation and the surveyed cross section permit a robust fit that matches ground truth. Using these double-Manning fits, we can dynamically adjust the rating curve to account for channel width, depth, and/or slope evolution. Such rating-curve flexibility, combined with a formulation based in flow mechanics, enables predictions amidst coupled hydrologic – geomorphic change, which increasingly occurs as climate warms and humans modify the land surface and subsurface. Open-source software with example implementations is available via GitHub, Zenodo, and PyPI.
Diverse organic carbon dynamics captured by radiocarbon analysis of distinct compound classes in a grassland soil
Authors: Grant Katherine E. , Repasch Marisa N. , Finstad Kari M. , Kerr Julia D. , Marple Maxwell  A. T. , Larson Christopher J. , Broek Taylor A. B. , Pett-Ridge Jennifer , McFarlane Karis J.
Published: January 2024

Abstract. Soil organic carbon (SOC) is a large, dynamic reservoir composed of a complex mixture of plant and microbe derived compounds with a wide distribution of cycling timescales and mechanisms. The distinct residence times of individual C components within this reservoir depend on a combination of factors, including compound reactivity, mineral association, and climate conditions. To better constrain SOC dynamics, bulk radiocarbon measurements are commonly used to trace biosphere inputs into soils and estimate timescales of SOC cycling. However, understanding the mechanisms driving the persistence of organic compounds in bulk soil requires analyses of SOC pools that can be linked to plant sources and microbial transformation processes. Here, we adapt approaches, previously developed for marine sediments, to isolate organic compound classes from soils for radiocarbon (14C) analysis. We apply these methods to a soil profile from an annual grassland in Hopland, California (USA) to assess changes in SOC persistence with depth to 1 m. We measured the radiocarbon values of water extractable organic carbon (WEOC), total lipid extracts (TLE), total hydrolysable amino acids (AA), and an acid-insoluble (AI) fraction from bulk and physically separated size fractions (<2 mm, 2 mm–63 μm, and <63 μm). Our results show that Δ14C values of bulk soil, size fractions, and extracted compound classes became more depleted with depth, and individual SOC components have distinct age-depth distributions that suggest distinguishable cycling rates. We found that AA and TLE cycle faster than the bulk soils and the AI fraction. The AI was the most 14C depleted fraction, indicating it is the most chemically inert in this soil. Our approach enables the isolation and measurement of SOC fractions that separate functionally distinct SOC pools that can cycle relatively quickly (e.g., plant and microbial residues) from more passive or inert SOC pools (associated with minerals or petrogenic) from bulk soils and soil physical fractions. With the effort to move beyond SOC bulk analysis, we find that compound class 14C analysis can improve our understanding of SOC cycling and disentangle the physical and chemical factors driving OC cycling rates and persistence.