bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pair correlation function for equilibrium critical state of fluids on the mesoscopic space scale
Authors: Чайкина Ю.А. , Ветчинкин А.С. , Голубков М.Г. , Лундин А.А. , Родионов И.Д. , Шушин А.И. , Уманский С.Я. 
Published: October 2024

В настоящей работе впервые прямым способом в мезоскопическом масштабе длин решена «флуктуационная теорема». Получено аналитическое выражение для парной корреляционной функции критического состояния флюида, параметром которой является дисперсия плотности, легко восстанавливаемая из оптических экспериментов. Сравнение нашего результата с парной корреляционной функцией Орнштейна—Цернике позволило определить поправку Фишера η = 0,25, повышающую сходимость. Показано, что полученные результаты дают надежную теоретическую основу для оптической диагностики статистического состояния критических флюидов.
In this paper we have solved the «fluctuation theorem» on the mesoscopic length scale for the first time in a direct way. An analytical expression for the pair correlation function of the critical state of fluid was obtained, where the density variance is the parameter that could be easily defined by optical measurements. By comparison of our result with the Ornstein—Zernike pair correlation function we have got the Fisher index η= 0.25 to increase the convergence. It was shown that the obtained results provide a reliable theoretical basis for optical diagnostics of the critical state of fluids.
Supercritical fluid extraction of avermectin from Streptomyces avermitilis using carbon dioxide
Authors: Ивахнов А.Д. , Скребец Т.Э. 
Published: October 2024

Методом полного факторного эксперимента с использованием ротатабельного униформ-плана второго порядка проведена оптимизация извлечения авермектина из бактериальной биомассы Streptomyces avermitilis методом сверхкритической флюидной экстракции диоксидом углерода. При планировании в качестве основных уровней выбраны давление 25 МПа, температура 60°С, продолжительность экстракции 100 мин. Анализ уравнения регрессии позволил установить оптимальные параметры процесса: 30 МПа, 85°С, продолжительность 133 мин. В контрольном эксперименте получен экстракт с выходом 13 %, содержащий 41 % авермектина. Выход авермектина составил 5,36 % от абсолютно сухого сырья, что превышает выход при экстракции органическими растворителями.
The process of supercritical fluid extraction of avermectin from the bacterial biomass of Streptomyces avermitilis with carbon dioxide was optimized by the method of a full factorial experiment using a second-order rotatable uniform plan. When planning, the main levels chosen were a pressure of 25 MPa, a temperature of 60°C, and an extraction duration of 100 min. The analysis of the regression equation made it possible to establish the optimal process parameters: 30 MPa, 85°C, and 133 min. In the control experiment, an extract was obtained with a yield of 13 %, containing 41 % avermectin. The yield of avermectin was 5.36 % of absolutely dry biomass, which exceeds the extraction yields obtained using organic solvents.
Ferrocene-modified siloxane aerogels
Authors: Панова Л.В. , Леменовский Д.А. , Афанасов М.И. , Попков М.А. , Бурлуцкий Р.О. , Брусова М.М. , Таланова В.Н. , Холодков Д.Н. 
Published: October 2024

Разработан эффективный метод синтеза силоксановых аэрогелей гибридного строения с встроенными в их полимерную структуру ферроценовыми фрагментами. На начальном этапе получали гель путем поликонденсации тетраэтоксисилана и ферроценсодержащих алкоксисиланов, катализируемой BF3 · Et2O в ацетоне. Превращение гелей в аэрогели проводилось с использованием сверхкритического диоксида углерода (СК-CO2). Образцы аэрогелей были подробно охарактеризованы методами мессбауэровской спектроскопии и адсорбции азота, определена плотность материалов. Содержание железа в полученных аэрогелях находится в пределах 3,6—8,7 мас. % железа (или 11,9—28,7 мас. % ферроценовых звеньев).
An effective method for the synthesis of hybrid structure siloxane aerogels with ferrocene fragments built into polymer structure has been developed. At the initial stage, a gel was obtained by polycondensation of tetraethoxysilane and ferrocene-containing alkoxysilanes, catalyzed by BF3 · Et2O in acetone. The transformation of gels into aerogels was carried out using SC-CO2. The aerogel samples were characterized in detail by Mossbauer spectroscopy and nitrogen adsorption methods, and the density of the materials was determined. The iron content in the resulting aerogels varies in the range of 3.6—8.7 % by weight of iron (or 11.9—28.7 % by weight of ferrocene units).
Manajemen Kurikulum dalam Meningkatkan Kualitas Pembelajaran di SMK Dwija Bakti 2 Jombang
Authors: Wafa M. Aliyul , Sari Nilla Bunga 
Published: October 2024

The background to this research is a lack of focus on the learning process that encourages students' thinking abilities at MA PK Sunan Ampel Nganjuk. In this research, the researcher aims to apply learning using the Problem Based Learning method. Problem Based Learning, called PBL, is a learning model that is student-centered by confronting students with various problems they face in their lives. learning that begins with a problem, where learning is essentially a process, namely a process that regulates and organizes the environment around students so that it can grow and encourage students to carry out the learning process. The learning process occurs because there is a goal to be achieved. The objectives in question are in the form of learning outcomes. This illustrates that what is the focus for educators is how to manage learning so that it can achieve the desired level of learning outcomes. Researchers use qualitative classroom action methods, with data collected through observation, tests and documentation. The observation process was carried out during the implementation of the action as an effort to find out the progress of the learning implementation at MA PK Sunan Ampel Nganjuk. Collecting data using tests by providing an essay worksheet with a total of 5 questions is given at each meeting to improve student learning outcomes. The research results show that the application of the Problem Based Learning model can improve student learning outcomes in class XI Madrasah Aliyah Plus Skills Sunan Ampel Nganjuk.
Analisis Laju Korosi, Sifat Mekanik Baja Karbon Medium Terhadap Hasil Perlakuan Surface Treatment.
Authors: Destri Muliastri  , Septyani Devi Eka 
Published: October 2024

Peralatan yang berbahan dasar logam mengalami beberapa permasalahan, permasalahan yang timbul dari peralatan teknologi, diantaranya adalah korosi. Korosi pada logam menimbulkan kerugian yang tidak sedikit. Salah satu cara untuk menghambat proses korosifitas adalah dengan melakukan proses pelapisan logam, bahan pelapisan yang digunakan dalam penelitian ini adalah chromium hal ini dikarenakan chromium tahan panas dan sekaligus tahan oksidasi sehingga logam tidak mengalami korosi dini.
Tujuan dari penelitian ini adalah mempelajari karakteristik hasil pelapisan hard chromium yang dikombinasikan dengan proses heat treatment pada material handel rem dalam menghambat korosifitas sehingga diperoleh material handel rem yang handal dan memiliki ketangguhan yang baik .Tahapan Penelitian yang telah dilakukan adalah proses pelapisan logam dengan parameter pengujian arus 0,9A dan 1 A dan Parameter waktu pengujian yaitu 30 menit, 45 menit, dan 60 menit. Pengujian yang dilakukan yaitu uji keras, uji pengurangan berat (weight loss), dan uji struktur mikro yang dilakukan dengan menggunakan mikroskop optik.
Berdasarkan hasil penelitian yang telah dilakukan,semakin lama waktu pelapisan maka ketebalan, dan nilai kekerasan lapisan semakin besar. Begitu pula dengan arus. Semakin besar arus yang diberikan nilai ketebalan lapisan dan nilai kekerasan semakin tinggi.
Analisis Faktor Kesuksesan Penerapan ERP di BUMN Industri Konstruksi (Studi Kasus di PT Wijaya Karya (Persero) Tbk)
Authors: Afif Mohamad Rifai , Khomsiyah Khomsiyah 
Published: October 2024

Penerapan sistem Enterprise Resource Planning (ERP) telah menjadi kewajiban di BUMN dengan diterbitkannya PER-2/MBU/03/2023. Sistem ERP yang terintegrasi membawa manfaat yang banyak untuk meningkatkan produktifitas dan efisiensi. Dalam implementasinya ERP memiliki tingkat kerumitan yang komplek dan harus melibatkan banyak pihak serta memiliki tingkat kegagalan yang tinggi. Penelitian ini berusaha mengidentifikasi dan peran 11 Critical success factor (CSF) dalam implementasi ERP. Penelitian merupakan studi kasus atas implementasi ERP SAP tahun 2023 di industri konstruksi PT Wijaya Karya (Persero) Tbk. Metode pengumpulan data dilakukan dengan menyebar kuesioner dengan skala pengukuran interval menggunkan skala likert kepada seluruh pengguna yang terlibat ERP dari staf sampai manajemen perusahaan serta konsultan. Hasil dari penelitian ini adalah gambaran faktor-faktor kesuksesan atas proses implementasi. Faktor manusia adalah yang paling penting walaupun proses inplementasi ERP adalah sebuah proses teknologi informasi.
CEGAH STUNTING DENGAN EDUKASI FAKTOR-FAKTOR RISIKO KEJADIAN STUNTING PADA BALITA
Authors: Rahmi Dian , Rikayoni  
Published: October 2024

Stunting merupakan ancaman serius terhadap anak di Indonesia saat ini. Kondisi stunting atau bertubuh pendek karena kekurangan gizi kini telah diderita sebanyak 8,8 juta anak Indonesia (Tirto,2016). Menurut amatan pakar gizi, angka ini meningkat sebesar 37,2 persen dalam jangka waktu tiga tahun (Tirto,2016). Saat ini prevalensi stunting di Indonesia adalah 37,2 persen atau 8 juta anak mengalami pertumbuhan tidak maksimal (Tribun Jateng 2019) Tujuan kegiatan edukasi pencegahan stunting ini diharapkan nantinya angka stunting di kanagarian sijunjung wilayah kerja mengalami penurunan. Pengabdian kepada masyarakat ini dilakukan dengan melakukan sosialisasi dan pendampingan kepada beberapa kader kesehatan yang nanti nya bisa memberikan penyuluhan kesehatan sebagai tindakan mandiri kepada masyarakat tentang pencegahan stunting. Metode pengabdian kepada masyarakat dimulai dengan melakukan identifikasi masalah stunting yang terjadi di tengah-tengah masyarakat serta melakukan penyuluhan mengenai pencegahan stunting . Dari hasil pelaksanaan kegitan PKM yang telah dilaksanakan pada hari kamis tanggal 15 desember 2022 jam 09.00 WIB yang bertempat di kantor wali nagari kanagarian sijunjung dapat ditarik kesimpulan bahwa bahwa acara berjalan sesuai dengan rencana dan berlangsung lancar. Peserta yang terdiri dari Kader Posyandu dan perwakilan warga masyarakat terlihat sangat antusias mengikuti kegiatan ini. Hal tersebut terlihat dari pertanyaan-pertanyaan yang disampaikan peserta kepada narasumber sehingga bertambahnya pengetahuan warga terhadap pencegahan stunting.
Формування обернено-адитивної семантичної метрики для аналізу онтологій безпекових систем багатоквартирних будинків
Authors: Hryhorovych A. , Hryhorovych V. , Zhovnir Yu. , Hrybovskyi O. 
Published: October 2024

Проблеми побудови метрик є ключовими для розв’язку задачі кількісного оцінювання як в цілому систем об’єктів довільної природи, так і відношень, що описують зв’язки між складовими вказаних систем. Для оцінювання відношень між концептами побудовано метрику для не таксономічної онтології (для довільної семантичної мережі концептів). Практичне значення дослідження полягає у розробленні точної та ефективної семантичної метрики, яка може покращити результати вирішення завдань опрацювання онтологій, зокрема таких як пошук інформації, класифікація та виявлення знань. Запропонована метрика може бути корисною для розробки ефективних інтелектуальних систем, які використовують онтології для подання знань, зокрема при розробленні безпекових систем багатоквартирних будинків чи житлових кварталів. Проведено аналіз та обґрунтування запропонованої метрики.
LINGUACULTURAL PERSONALITY TYPE "RUSSIANS" IN CHINESE LINGUISTIC CONSCIOUSNESS
Authors: Ян Ли. 
Published: October 2024

В статье анализируется образ русских в китайской культуре на основе различных материалов на китайском языке. Целью исследования является моделирование лингвокультурного типажа «русские» в китайской культуре и устранение коммуникативных барьеров, вызванных языковыми и культурными различиями. Автором проанализированы понятийные, образные и оценочные характеристики рассматриваемого типажа. В качестве аналитических материалов использовались словари, корпус китайского языка и результаты опроса.
This article analyzes the image of Russians in Chinese culture based on various materials in Chinese. The purpose of the study is to model the Linguacultural personality type "Russians" in Chinese culture and to eliminate communicative barriers caused by linguistic and cultural differences. To achieve this goal, we analyzed the conceptual, figurative and evaluative characteristics of the considered type.
DIFFICULTIES IN TEACHING RUSSIAN SOCIO-POLITICAL TERMINOLOGY TO CHINESE STUDENTS
Authors: Чжан Ш. 
Published: October 2024

Русская общественно-политическая терминология является непосредственным отражением социальных изменений и политической обстановки в России, а также важным аспектом при изучении русского языка. В статье на основе исследований, посвященных изучению общественно-политической терминологии в китайской аудитории, и опроса студентов анализируются трудности и ошибки в этой сфере и предлагаются пути решения данной проблемы.
Russian socio-political terminology is a direct reflection of social changes and political environment in Russia and an important part of Russian language learning. In this article, based on the survey and research of Chinese students' learning of socio-political terminology in Chinese universities, we analyze the difficulties and mistakes in learning socio-political terminology and suggest appropriate ways to solve this problem.
An Accurate Classification for Human Sport Activity Recognition from Sensor Data Using Hybrid Machine Learning Models
Authors: M. Liftawi Sana , A. Yousef Iyad , W. Kaied Mahmoud 
Published: October 2024

The significance of human sports activities recognition (HSAR) in many computing applications, including sports analytics, smart surroundings, and healthcare monitoring is huge. The current use of vision sensors for HSAR is a difficult task due to the intricate movements involved in sports and fitness workouts, as well as fluctuations in illumination conditions. Therefore, a comprehensive review of machine learning algorithms (such as XGBoost, Random Forest (RF), Decision Trees (DT), and K-Nearest Neighbors (KNN)) and their usage for human sports activities classification based on sensor data called ML-HSAR is presented in this article. A dataset containing 19 different human activities gathered from 8 different people through different types of sensors was used for this work; the dataset contains activities like sitting and standing, as well as other activities that require serious movements, such as running, cycling, and playing basketball. This study primarily aims to determine the performance of the considered ML models in accurately classifying these activities found in the dataset. The training of the algorithms and the subsequent evaluation were done on the segmented sensor data, effectively leveraging the dataset’s temporal aspect. In addition to the presented results for each of these algorithms, the limitations of each algorithm and their strengths in handling the complexities involved in HSAR were also presented. The contribution of this analysis is towards the understanding of the most appropriate ML models for HSAR tasks; it also offers valuable insights for future research and practical applications.
Efficient Survey Design for Finding High-redshift Galaxies with JWST
Authors: Vujeva Luka , Steinhardt Charles L. , Jespersen Christian Kragh , Frye Brenda L. , Koekemoer Anton M. , Natarajan Priyamvada , Faisst Andreas L. , Hibon Pascale , Furtak Lukas J. , Atek Hakim , Cen Renyue , Sneppen Albert 
Published: October 2024

Abstract
Several large JWST blank field observing programs have not yet discovered the first galaxies expected to form at 15 ≤ z ≤ 20. This has motivated the search for more effective survey strategies that will be able to effectively probe this redshift range. Here, we explore the use of gravitationally lensed cluster fields, which have historically been the most effective discovery tool with the Hubble Space Telescope. In this paper, we analyze the effectiveness of the most massive galaxy clusters that provide the highest median magnification factor within a single JWST NIRCam module in uncovering this population. The results of exploiting these lensing clusters to break the z > 15 barrier are compared against the results from large-area, blank-field surveys such as JADES and CEERS in order to determine the most effective survey strategy for JWST. We report that the fields containing massive foreground galaxy clusters specifically chosen to occupy the largest fraction of a single NIRCam module with high magnification factors in the source plane while containing all multiple images in the image plane within a single module provide the highest probability of both probing the 15 ≤ z ≤ 20 regime as well as discovering the highest-redshift galaxy possible with JWST. We also find that using multiple massive clusters in exchange for shallower survey depths is a more time-efficient method of probing the z > 15 regime.
Modeling the Time Evolution of Compact Binary Systems with Machine Learning
Authors: Yan Jianqi , Luo Junjie , Zeng Yifan , Leung Alex P. , Feng Jie , Zhang Hong-Hao , Lin Weipeng 
Published: October 2024

Abstract
This work introduces advanced computational techniques for modeling the time evolution of compact binary systems using machine learning. The dynamics of compact binary systems, such as black holes and neutron stars, present significant nonlinear challenges due to the strong gravitational interactions and the requirement for precise numerical simulations. Traditional methods, like the post-Newtonian approximation, often require significant computational resources and face challenges in accuracy and efficiency. Here, we employed machine learning algorithms, including deep learning models like long short-term memory (LSTM) and temporal convolutional network (TCN), to predict the future evolution of these systems based on extensive simulation data. Our results demonstrate that employing both LSTM and TCN even as black-box predictors for sequence prediction can also significantly improve the prediction accuracy without physics-informed neural networks (as partial differential equation solvers with prior knowledge or inductive bias. By employing LSTM and TCN, we obtained R
2 values of 99.74% and 99.19% for the evolutionary orbits of the compact binaries data set, respectively. Our models demonstrate the ability to effectively capture the dynamics of the binaries, achieving high prediction performance with significantly reduced computational overhead by a factor of 40, compared to conventional numerical methods. This study paves the way for more effective and computationally scalable approaches to the understanding of gravitational phenomena and predictive modeling in gravitational-wave astronomy.
Subhalos in Galaxy Clusters: Coherent Accretion and Internal Orbits
Authors: Han Chi , Wang Kuan , Avestruz Camille , Anbajagane Dhayaa 
Published: October 2024

Abstract
Subhalo dynamics in galaxy cluster host halos govern the observed distribution and properties of cluster member galaxies. We use the IllustrisTNG simulation to investigate the accretion and orbits of subhalos found in cluster-size halos. We find that the median change in the major axis direction of cluster-size host halos is approximately 80° between a ∼ 0.1 and the present day. We identify coherent regions in the angular distribution of subhalo accretion, and ∼68% of accreted subhalos enter their host halo through ∼38% of the surface area at the virial radius. The majority of galaxy clusters in the sample have ∼2 such coherent regions. We further measure angular orbits of subhalos with respect to the host major axis and use a clustering algorithm to identify distinct orbit modes with varying oscillation timescales. The orbit modes correlate with subhalo accretion conditions. Subhalos in orbit modes with shorter oscillations tend to have lower peak masses and accretion directions somewhat more aligned with the major axis. One orbit mode, exhibiting the least oscillatory behavior, largely consists of subhalos that accrete near the plane perpendicular to the host halo major axis. Our findings are consistent with expectations from inflow from major filament structures and internal dynamical friction: most subhalos accrete through coherent regions, and more massive subhalos experience fewer orbits after accretion. Our work offers a unique quantification of subhalo dynamics that can be connected to how the intracluster medium strips and quenches cluster galaxies.
A Deeper Look into eFEDS AGN Candidates in Dwarf Galaxies with Chandra
Authors: Sanchez Adonis A. , Reines Amy E. , Bogdán Ákos , Kraft Ralph P. 
Published: October 2024

Abstract
The ability to accurately discern active massive black holes (BHs) in nearby dwarf galaxies is paramount to understanding the origins and processes of “seed” BHs in the early Universe. We present Chandra X-ray Observatory observations of a sample of three local dwarf galaxies (M
* ≤ 3 × 109
M
⊙, z ≤ 0.15) previously identified as candidates for hosting active galactic nuclei (AGN). The galaxies were selected from the NASA-Sloan Atlas with spatially coincident X-ray detections in the eROSITA Final Equatorial Depth Survey. Our new Chandra data reveal three X-ray point sources in two of the target galaxies with luminosities between log(L
2−10 keV [erg s−1]) = 39.1 and 40.4. Our results support the presence of an AGN in these two galaxies and an ultraluminous X-ray source (ULX) in one of them. For the AGNs, we estimate BH masses of M
BH ∼ 105−6
M
⊙ and Eddington ratios on the order of ∼10−3.
Temas de análises clínicas 2
Authors: Baratieri Sabrina , Hirata Bruna Karina Banin , Mossini Simone  Aparecida Galerani , Manchinski Junior Miguel , Hirata Bruna Karina Banin , Lonardoni Maria Valdrinez Campana , Nakama Raquel Pires , Pinge-Filho Phileno , Aguera Raul Gomes , Zacarias Joana Maira Valentini , Visentainer Jeane Eliete Laguila 
Published: October 2024

O carcinoma mamário, com exceção do câncer de pele não melanoma, é o tipo de câncer que mais acomete a população feminina, com uma estimativa de 73.610 novos casos para o ano de 2023, no Brasil. O microambiente tumoral mamário pode apresentar infiltrado de diferentes células do sistema imunológico, incluindo as células Natural Killer (NK) e os linfócitos T citotóxicos (CTL), que exercem efeito anti-tumoral, através da liberação de granzima B.
Wernicke encephalopathy due to hyperemesis gravidarum in pregnancy
Authors: Hendawitharana N. E. , Punchihewa G. D. 
Published: October 2024

Wernicke’s encephalopathy is a life-threatening acute or sub-acute neurological emergency characterized by a triad of ataxia, confusion, ophthalmoplegia caused by thiamine deficiency, mostly observed in chronic alcohol users. Wernicke's encephalopathy due to causes other than alcohol abuse is uncommon and often misdiagnosed. In pregnancy, it is an unknown pathology, with poor prognosis, which occurs secondarily to hyperemesis gravidarum. We present a rare case of a 30-year-old female with mild learning disability, at 15 weeks of gestational age, with a history of previous hospital admission for severe vomiting and referred to Maternal Mental Health Clinic for abnormal behaviour. She had classic symptoms of Wernicke’s Encephalopathy on presentation, and was immediately treated with thiamine. Her symptoms improved in a few days.