bluuebunny/crossref_metadata_2025 huggingface dataset:
The Intertwinements of Information and Literacy in Contemporary Culture
Authors: Farham Nazhib Hamdani  , Ahmad Maulana Marharendra  , Albert Wijaya Kusuma  , Hariyono  , Rommel Utungga Pasopati
Published: January 2025

This paper exposes the relations between information and literacy in context of contemporary culture. By exploring the perspective, reading culture is the main involvement in today’s indication. The analysis of this article includes popular culture in literacies in which it actually involves such tensions than merely definitions. The tensions are about existence vs essence, paradoxes vs consistencies, and enlightenment vs paranoia. Later, the text as the widened matters of language puts more approaches towards recent culture of sharing information. Therefore, the condition of hoaxes indeed is inevitable and undeniable, since abundant flowing information will always result to surplus of meanings as well. In conclusion, literacy should be used as matter of finding truth than effort of merely justification. The freedom of meanings should be emphasized furthermore to attain the truth as matter of process in various matters of literacies.Keywords Information, Literacy, Popular Culture, Reading Culture, Sharing Culture
Utilization of Artificial Intelligence to Address Nutritional Challenges and Productivity Towards Indonesia Emas 2045
Authors: Wildan Akbar Hashemi Rafsanjani  , Herlina Juni Risma Saragih  , Guntur Eko Saputro
Published: January 2025

This study explores the role of artificial intelligence (AI) in addressing nutritional challenges and enhancing national productivity as part of the efforts to realize Indonesia Emas 2045. Unresolved nutritional issues, such as stunting and malnutrition, continue to impact the quality of human resources and workforce productivity in Indonesia. AI has the potential to assist in collecting nutritional data, analyzing consumption patterns, and providing data-driven recommendations for more effective policies. By integrating AI into the national health and nutrition systems, there is potential for significant improvements in the population’s quality of life and the country’s economic productivity. The study finds that the integration of AI with national nutrition policies can accelerate nutritional improvements, particularly in hard-to-reach areas. In conclusion, AI can be a strategic tool in supporting government programs aimed at achieving Indonesia Emas 2045.Keywords: Artificial intelligence (AI), human resources, Indonesia Emas 2045, nutrition policy, productivity, stunting.
OASIS’ Virtuality and Its Diversifications in Ready Player One Movie
Authors: Anggraeni Ramadhani  , Albert Wijaya Kusuma  , Rommel Utungga Pasopati
Published: January 2025

This article explains the correlations of OASIS, its virtuality, and its impact of it in Ready Player One movie. The film tells about a virtual world in which any user must use a virtual instrument named OASIS to enter it. The OASIS provides such world for people to create and do anything, including such resistance to the prolonging power. Through qualitative method and explorative approach, the analysis includes OASIS in the film portrays the integration of virtuality into everyday life, its impact on identity, social interaction, and the blurring of the boundaries between reality and digital existence. There are also matters of escapism, the commercialization of digital experiences, and the potential of virtual spaces to foster social community and isolation. The film also highlights the dual nature of virtuality as a utopian refuge and a control mechanism in which such human experiences and social dynamics are intertwined. In conclusion, virtuality in Ready Player One explores the digital realm and real world by diversifying social interactions within those two crucial issues.Keywords: OASIS; Ready Player One; Virtuality
Android-Based Diabestfriend Application: A Digital Self-Care Management Tool for Patients with Type 2 Diabetes Mellitus
Authors: Alkharis Vira Zahra , Purwandari Ristiana Dyah , Majid Abdul , Prayogi Agus Sarwo , Laasara Nurun
Published: January 2025

Background: Diabetes patients need an independent management plan that provides diet control, education, physical exercise, blood glucose control, and pharmacological therapy called self-care management. Digital self-care management makes it easy to access care comfortably without having to visit a clinic, thereby reducing the risk of disease or virus transmission, and is more time efficient.
Purpose: This study aimed to assess the effectiveness of the Android-based Diabestfriend application as digital self-care management tool with educational features for controlling blood glucose levels in type 2 diabetes mellitus patients.
Method: Our research involved 50 participants in Central Java, Indonesia, including an experimental group (n=25) using the Diabestfriend application, and a control group (n=25) relying on standard care provided by public health facilitators every month. Self-care management and blood glucose levels were assessed over two periods: after seven months of using Diabestfriend (September 2021 to April 2022), and after a further 18 months of use (April 2022 to September 2023).
Results: Self-care management (t=5.972, p<0.000) and current blood sugar values (t=-5.525, p<0.000) improved significantly in diabetes patients after using Diabestfriend over the short-term, compared to the control group. The high level of self-care (t=-6.562, p<0.000) and normal blood glucose values (t=- 5.222, p<0.000) persisted after using the digital application for 18 months.
Conclusions: Diabestfriend is recommended for diabetes mellitus patients to support self-care management and improve blood glucose values in conjunction with following a routine treatment programme.
Abundance of Collembola in Biopore Infiltration Holes Filled with Organic Waste and Animal Waste
Authors: Ganjari Leo Eladisa , Nugroho Christianto Adhy
Published: January 2025

Garbage and flooding are environmental problems that need attention. One solution to dealing with organic waste and flooding is the creation of biopore absorption holes (LRB). Organic waste can be processed into compost with the help of soil animals such as Collembola. The number of soil animals (Collembola) in the biopore hole is influenced by the type of waste used to fill the hole. The aim of this research was to determine the abundance of Collembola in LRBs containing organic waste and animal waste. Used 9 LRBs made from perforated pralon material.  LRB group A which contains organic waste only (3 LRB), LRB B which contains organic waste and cow dung (3 LRB) and LRB C which contains organic waste and goat dung (3 LRB). The results of this research show that the LRB composting process has occurred with the help of Collembola. Four types of Collembola were found that were active in biopore infiltration holes (LRB), namely Pseudosinella sp, Ceocobrya sp, Cyphoderus sp and Isotoma sp. There were differences in the abundance of Collembola in LRB sets containing organic waste and animal waste. The Diversity Index value H' < 1, indicates that species diversity is low.
Analisis Proses Pembelajaran Blok Sistem Pada Mata Pelajaran Instalasi Penerangan Listrik Di SMK N 2 Sigli
Authors: Nauval Muhammad , Sadrina Sadrina , Mursyidin Mursyidin , Musafir Musafir
Published: January 2025

Sekolah Menengah Kejuruan (SMK) merupakan lembaga pendidikan yang menyelenggarakan proses sekolah menengah atas dengan tujuan mendidik siswanya menjadi ahli dalam bidang tertentu. Tujuan penelitian ini adalah untuk mengetahui bagaimana proses pembelajaran menggunakan sistem blok pada Mata Pelajaran Instalasi Penerangan Listrik Kelas XI di SMKN 2 Sigli, Bagaimana Pengaruh Sistem Blok Terhadap Prestasi Belajar Kelas. jenis penelitian yang digunakan adalah Quasi Eksperimental dan Quasy Eksperimental Design. Sampel dalam penelitian ini berjumlah 50 siswa yang terdiri dari 25 siswa kelas kontrol dan 25 siswa kelas eksperimen. Teknik analisis data yang digunakan adalah analisis data statistik berupa korelasi kausal/rasio pengaruh dengan model regresi sederhana dengan aplikasi statistik SPSS. Hasil penelitian menunjukkan terdapat pengaruh pembelajaran blok sistem terhadap prestasi belajar siswa pada mata pelajaran instalasi penerangan listrik, namun tidak terlalu signifikan, karena hasil perhitungan uji t diperoleh nilai t hitung sebesar 3,864, sedangkan t hitung sebesar 3,864. -tabel pada taraf signifikansi 5% sebesar 2,060 yang diperoleh pada akhir perlakuan yaitu 77,72 untuk kelas eksperimen dan 74,40 untuk kelas kontrol.
Fighting the Dual Threat: Hypervirulent Klebsiella pneumoniae and Carbapenem Resistance in Diabetics
Authors: Karthik A. , Vinodhini V.M. , Leela K.V.
Published: January 2025

The prevalence of diabetes is rising these days as a result of hypervirulent Klebsiella pneumonia (hvKp), multidrug-resistant (MDR) and carbapenem-resistant bacteria. The burden of drug-resistant Klebsiella pneumonia bacteria is due to diabetic infections. This study was carried out at the SRM Institute of Science and Technology from January 2022 to December 2023 with Human Institutional Ethics Committee approval. All clinical samples underwent bacterial identification and antibiotic susceptibility testing. The combined disc test for metallo-beta-lactamase producers was carried out using conventional microbiological methods. The string test was performed to determine hvKp.

The identification of hvKp and carbapenem-resistant genes was accomplished using PCR amplification. The most significant number of pathogens (70.2%) isolated from various clinical samples was around 350. Of the 104 Klebsiella pneumoniae strains discovered, 47% (n=49) were drug-resistant. Of these, around 32 (30.7%) produced MBL, 11 had the rmpA-hypervirulent gene positive and 15 had the bla VIM gene positive. Pathogens had a much greater prevalence of MDR and MBL producers. The results of this study highlight the necessity of preventive measures against drug-resistant pathogen colonization and infection.
Analysis of co-culture of Streptomyces sp. VITGV156 with four different bacteria for enhancing secondary metabolites production
Authors: Ramesh Pooja , John Godwin Christopher
Published: January 2025

Streptomyces plays a pivotal role in producing antibiotics, essential for treating diseases and enhancing human health. In this study, the endophytic novel Streptomyces sp. VITGV156 was used to create four different consortia with live bacteria Staphylococcus aureus, Bacillus subtilis, Escherichia coli and Pseudomonas aeruginosa to activate the production of secondary metabolites. The secondary metabolites produced in the medium were extracted with ethyl acetate. The antimicrobial activity of the extracts from the monocultures (VITGV156) and cocultures was tested. The zone of inhibition for the monoculture crude extracts ranged from 10mm-20mm. The antimicrobial activity of VITGV156 with E. coli ranged from 11mm-22mm and of VITGV156 with B. subtitles was 10mm-20mm. The coculture of VITGV156 with S. aureus yielded a zone of 13mm-21mm. Coculture of VITGV156 with P. aeruginosa showed a zone ranging from 12mm-21mm at a concentration of 100mg/ml.

Crude ethylacetate extracts were investigated for their antioxidant activity which was 77.67±0.2% for 156PA coculture followed by the other extracts. GC‒MS analysis of these extracts revealed that five compounds were common in all four cocultures: benzeneacetic acid, benzoic acid, 2-amino acid, pyrrolo[1,2-a] pyrazine-1,4-dione, hexahydro-3-(2-methyl propyl), N-acetyltyramine and cyclo-(l-leucyl-l-phenylalanyl). N-Acetyltyramine had a high percentage area. According to this study, all these cocultures produce bioactive secondary metabolites.
Screening of Antimetabolites of Interest present in a Streptomycetal isolate using Analytical tools
Authors: Rath Truptimayee , Pattnaik Smaranika
Published: January 2025

Secondary metabolites are the biosynthetic products of actinomycetes cells, produced against the competitors present the same niche. The study reports about production of antimetabolites from soil isolated Streptomyces sp. (LMA2) co-incubated with respective bacterial candidates (E.coli and S.aureus). The antimetabolic products could be detected through contemporary analytical tools namely, UV-Visible spectroscopy, FT-IR and GC-MS. The survival modality conferred by both co-incubated partners was further substantiated by the subculture procedure. There were putative compounds present in co-cultured broth, absorbed at 281nm and 547nm wavelengths fixed (UV-visible) for the vancomycin and azithromycin against Gram-positive and Gram-negative bacteria respectively.

The wave numbers (cm-1) as detected from the respective FTIR analysis, were analyzed, referred with standard FTIR table and the putative functional groups were noted. From the GC-MS data recorded for cell free extracts of LMA2, there were compounds with noticeable biological activity. It was inferred that indole secreted by Streptomycetal isolate was the major compound with absolute percentage could be a potential active constituent to inhibit co-cultured bacterial growth.
Preparation methods and applications of Lipid-based nanosomes for advancement in the field of Pharmaceutical Biotechnology: A review and outlook on future
Authors: Kamalan Kumaraguruparan Shrihari , Balashanmugam Dhanya , Kalidoss Amrutharani , Mohankumar Nivethitha , Ilangovan Shanmuga Sundari
Published: January 2025

Nano-sized vesicles composed of a phospholipid bilayer encapsulating an aqueous core called Liposomes, have garnered substantial attention in pharmaceutical biotechnology for their capacity to safeguard and enhance drug and bioactive molecule delivery. This review presents an overview of liposome preparation methods and their applications in disease and gene therapy. Liposomes serve as drug delivery vehicles in cancer, cardiovascular and infectious diseases. In cancer therapy, they precisely transport chemotherapeutic agents to tumors, minimizing systemic toxicity. For cardiovascular diseases, liposomes ferry nitric oxide and antioxidants, ameliorating vascular function and reducing oxidative stress. In gene therapy, liposomes ferry nucleic acids (DNA, RNA) to modulate gene expression. Targeting ligands like antibodies or peptides further tailored liposomes for specific cell or tissue delivery.

With implications in diverse medical fields, particularly disease and gene therapy, liposomes are versatile drug delivery systems. Their pharmacokinetic and pharmacodynamic properties are shaped by preparation methods and composition. Advances have yielded more stable and targeted liposomes. However, further exploration is required to fully harness their potential, to ensure safer therapies and to tackle varied diseases. In conclusion, liposomes hold promise in pharmaceutical applications, efficiently delivering drugs and addressing therapeutic challenges. Continued research will unlock their potential, revolutionizing patient care and medical practices.
Unveiling the Latest Insights into Human bocavirus: A Comprehensive Review
Authors: Jaya Lakshmi S.S. , Anusha G. , Leela K.V.
Published: January 2025

Human bocavirus (HBoV) has emerged as a significant respiratory pathogen in recent years, particularly affecting young children. This review article reveals the current understanding of Human bocavirus (HBoV), encompassing its virology, epidemiology, clinical manifestations, diagnostics, treatment and future directions. This review aims to provide a comprehensive overview of HBoV infection and its implications for public health.
Использование скоростных законов в некоторых задачах управления подводными аппаратами
Authors: ЛЕПИХИН Т А. , БОЛЬШАКОВ Г М. , БОЙКОВ А С. , ГЛУШКОВ Г А. , ЖАБКО Н А.
Published: January 2025

В статье рассмотрены две задачи обеспечения заданного движения автономных подводных аппаратов в пространстве. Первой задачей является задача прохождения вдоль пути, заданного набором целевых точек на плоскости. Решение задачи строится на базе линейных моделей, упрощенно описывающих движение аппарата в горизонтальной и вертикальной плоскостях. Управление вдоль пути в горизонтальной плоскости основывается на специальном задании желаемого угла курса, соответствующего текущей целевой точке и текущему положению аппарата, который передается в линейный стабилизирующий закон управления. Глубина при этом поддерживается постоянной с помощью линейных законов управления, сформированных для упрощенной модели динамики в вертикальной плоскости. Второй задачей является задача следования вдоль заданной траектории в пространстве. В данном случае предполагается, что интерес представляет положение аппарата в пространстве и его ориентация по курсу. Исходя из этого применяется упрощенная модель, в которой для управления используются четыре независимых переменных. Для решения задачи применяется существующий подход бэкстеппинг управления, для которого изучается возможность небольшой модификации. Предложенные для решения обеих задачах подходы основаны на применении законов управления в скоростной форме, которая использована с целью обеспечения астатизма по контролируемым переменным. В первом случае несмотря на действие постоянных или скачкообразных возмущений аппарат проходит достаточно близко к путевым точкам, во втором случае при аналогичных возмущениях аппарат выходит на заданную траекторию с достаточной точностью. Успешность и эффективность применения предложенных подходов проиллюстрирована путем их реализации и проведения экспериментов в среде MATLABSimulink.

The article deals with two tasks of providing the rear motion of autonomous underwater vehicles. The first task is to find the paths with specific yaw angle along the given set of target points in the plane. For this task we use linear models that simplify the description of the apparatus motion in the horizontal and vertical planes. In the horizontal plane the constraints are achieved. In Vertical plane we use a constant depth also for simplifying model. The second task is to follow along the trajectory in space. The main aspects here are the position in space and its orientation to the yaw angle. This model allows the use of four independent variables. For the decision of this task small modification with backstepping algorithm can be used. The proposed solutions can be used to provide astatism for controlled variables. As a result the apparatus passes close enough to the waypoints, and the device is on a given trajectory with sufficient accuracy. The success and effectiveness of the proposed approaches are illustrated by their implementation and conducting experiments in the MATLABSimulink environment.
Об анализе пассажиропотоков Московского метрополитена
Authors: ПОМАТИЛОВ Ф.С. , НАМИОТ Д.Е.
Published: January 2025

В работе рассматривается модель анализа пассажиропотоков Московского метрополитена. Исходной информацией для анализа выступает матрица корреспонденции, которая описывает количество пассажиров, перемещавшихся между парами станций метро за указанный временной интервал. Такого рода данные собираются на основе информации мобильных операторов. Такого рода информация является широко используемым подходом к представлению транспортных данных. Статья содержит обзор моделей анализа транспортных данных. В работе предложен подход к классификации станций метрополитена по типу пассажиропотока. В рамках предложенного подхода сравниваются входы и выходы пассажиров для станций. Именно соотношение этих параметров, развернутое по времени и является основанием для классификации станций (отнесением станций к одному из классов, различающихся характером соотношения входов и выходов пассажиров). Это позволяет, например, определить рабочие и жилые зоны города, как станции, куда приезжают на работу, и станции, откуда едут на работу. Такой анализ позволяет определить станции, которые являются местом приема внешнего пассажиропотока. В какихто случаях это будет объяснимо наличием рядом железнодорожных вокзалов и транспортнопересадочных узлов, в какихто случаях это будет свидетельством наличия какихто относительно неявных (неизвестных) процессов в городе (например, автобусные линии из пригородов). Также изменения в найденных закономерностях могут служить свидетельством какихто изменений в жизни города.

The paper considers the model of analysis of passenger traffic of the Moscow Metro. The initial information for the analysis is the correspondence matrix describing the number of passengers traveling between pairs of metro stations for a specified time interval. This kind of data is collected on the basis of information from mobile operators. This kind of information is a widely used approach to the presentation of transport data. The article contains a detailed review of transport data analysis models. The paper proposes an approach to the classification of metro stations by type of passenger traffic. The proposed approach compares the entrances and exits of passengers for stations. It is the ratio of these parameters, developed in time, presents the basis for the classification of stations (assigning stations to one of the classes that differ in the nature of the ratio of passenger entry and exit). This allows us, for example, to determine the working and residential areas of the city, as stations where they come to work, and stations from where they go to work. Such an analysis makes it possible to determine the stations that are the receiving point of the external passenger traffic. In some cases, this will be explained by the presence of a number of railway stations and transport hubs, in some cases this will be evidence of the presence of some relatively implicit (unknown) processes in the city (for example, bus lines from the suburbs). Also, changes in the found patterns can serve as evidence of some changes in the life of the city.
Escalation of vitamin D deficiency from birth to early age
Authors:   MD, Professor, Head of the Department of Pediatrics, Neonatology and Perinatology with the Emergency Medicine course, Far Eastern State Medical University, Senkevich O.A. , Plotonenko Z.A. ,   PhD, Associate Professor of the Department of Pediatrics, Neonatology and Perinatology with the Emergency Medicine course, Far Eastern State Medical University, Chebargina M.A. ,   PhD, Assistant of the Department of Pediatrics, Neonatology and Perinatology with a course of Emergency Medicine, Far Eastern State Medical University, Babukh T.V. ,   head of the department of clinical diagnostic laboratory, Regional State budgetary healthcare institution  G.S. Postol Perinatal Center of the Ministry of Health, Khabarovsk Territory, Gorokhovsky M.V. ,   Assistant of the Department of additional professional education of the Institute of Continuing Professional Education and Accreditation of the Far Eastern State Medical University
Published: January 2025

The vitamin D supply of healthy newborns and young children living in the Khabarovsk Territory was analyzed. Using a random sampling method, the study included children of two age groups: at birth and the mothers of these children (n=67) and at the age of 1-3 years (n=58), undergoing examination in medical organizations of the Ministry of Health of the Khabarovsk Territory, Khabarovsk. Low vitamin D status was detected in every third child aged 0 to 3 years (29.4%): vitamin D deficiency and insufficiency were diagnosed in 14.4% and 15.0% of children respectively, severe deficiency was defined in 4.0 % of cases. A decrease in the concentration of 25(OH)D in the blood serum was found with increasing age of the child. It was determined that the median concentration of 25(OH)D in the blood serum of children in the first three years of life was 2.5 times higher compared to the control group. The data obtained as a result of the study demonstrate the high prevalence of low vitamin D status among the child population of Khabarovsk, while there is an increase in the deficiency state as they grow older and, as a consequence, the most vulnerable group is adolescents.
Keywords: vitamin D, newborns, young children, teenagers.
Impact of COVID-19 on remote cardiovascular endpoints in patients with sick sinus syndrome and an implanted pacemaker
Authors:   FSBEI HE Bashkir State Medical University Ministry of Health Russian Federation, Ufa, Badykov M.R. , Lakman I.A. ,   candidate of technical sciences, head of the lab. FSBEI HE Ufa University of Science and Technology, Badykova Е.А. ,   FSBEI HE Bashkir State Medical University Ministry of Health Russian Federation, Ufa, Plechev V.V. ,   FSBEI HE Bashkir State Medical University Ministry of Health Russian Federation, Ufa, Usmanova I.N. ,   FSBEI HE Bashkir State Medical University Ministry of Health Russian Federation, Ufa, Ushnitsky I.D. ,   MD, professor,  head of the Department of Medical Institute FSAEI HE M.K. Ammosov Northeastern Federal University, Zagidullin N.Sh
Published: January 2025

SARS-CoV2, responsible for the COVID-19 pandemic, is still relevant for the medical system throughout the world. In addition to the effect on the respiratory system, cardiac manifestations of COVID-19 are also known in the acute and post-COVID-19 period, including known coronary heart disease, proarrhythmogenic effects including impact on sick sinus syndrome (SSS). Cardiovascular diseases including myocarditis, heart failure, tachyarrhythmias and myocardial infarction, where arrhythmias are widespread were detected among hospitalized patients with COVID-19.
Objective: To investigate the impact of COVID-19 incidence on long-term cardiovascular endpoints in patients with SSS with implanted pacemaker. Methods. In a retrospective, non-randomized, uncontrolled study, 447 patients with SSS were examined, of which 205 patients experienced and 242 - did not have COVID-19. The follow-up period was 30 months and the endpoints were cardiovascular death, myocardial infarction, stroke and cardiovascular hospitalization. Adverse cardiovascular events were monitored using the “Promed” electronic medical record system, as well as during follow-up examinations at the consultative and diagnostic clinic. Results. Comparison of the incidence of adverse cardiovascular endpoints in the COVID-19 and control groups showed no differences in all endpoints according to the Chi-square test (p>0.1), with the exception of frequency of myocardial infarction in the “COVID-19” (p=0.040). The close relationship between tachy-bradicardia, microvascular dysfunction and coronary artery disease, and at the same time the impossibility of modulating the heart rhythm in the presence of vegetative dysfunction and an established pacemaker assumed that autonomic dysfunction in post-COVID patients caused myocardial ischemia and, as a result, an increase of myocardial infarction rate. Conclusion. During long-term follow-up, COVID-19 in patients with SSS increased the risk of myocardial infarction.
Keywords: sinus node weakness syndrome, COVID-19, pacemaker, coronary artery disease, cardiovascular endpoints.
A LETTER FROM THE FRONT” PAINTING (1947) BY A. I. LAKTIONOV. THE STORY OF THE MASTERPIECE
Authors: GORBUNOVA VIKTORIIA V.
Published: January 2025

The article examines the story of the creation of the painting “A Letter from the Front” by A. I. Laktionov. This artwork became a landmark in his life and was awarded the Stalin Prize. The painting technique distinguished A. I. Laktionov’s works at exhibitions and aroused genuine interest from the audience, and in the professional artistic community it often became a subject of discussion.
INTERPRETATION OF THE IMAGE OF CHINA IN ANTON M. LEGASHEV’S PAINTINGS
Authors: YANG JIANQU
Published: January 2025

The creative activity of a number of Russian artists of the 19th century who worked in China as part of Orthodox missions attracts the attention of modern researchers. The paintings and graphic works of Anton M. Legashev are important in terms of analysing the vision of Russian painters not only of images associated with China, but also taking into account the cultural characteristics and artistic language of Chinese art. The appeal to the works of the Russian painter makes it possible to evaluate not only the interpretation and artistic embodiment of the images of China in the eyes of the foreign artist of the early 19th century, but also the transformation of the master’s impressions and ideas about this country during his creative life.
STYLE FEATURES IN LI YUQIU’S WORKS FOR BAYAN AND ACCORDION
Authors: DAI MENGYING
Published: January 2025

The relevance of the article is due to the close attention of scientists to the process of development of New Music in China during the period of reform and opening up. Works of various genres for European instruments were created by Chinese composers in the process of assimilation of their native tradition in the stylistic context of Western musical means. Music for bayan and accordion was no exception. The purpose of this article is to study the creativity for these instruments by Li Yuqiu, a prominent Chinese composer of the second half of the 20th century and early 21st century. The figures of individual composers in this area of creativity are poorly reflected in Russian musicology, which emphasises the scientific novelty of this research. The article presents an analysis of the process of nationalisation in Li Yuqiu’s works for bayan and accordion, and provides a periodisation. The author of the article substantiates the development of such tendencies in the composer’s work as the movement from miniatures to the cycle (in particular, suite, sonata), as well as the expansion of the European palette of musical expressive means. The example of the first movement of Sonata No. 3 for accordion shows the specific manifestation of the national origin of genre-related (song, dance, narrative), modal, textural and rhythmic features of the composer’s thematics. A conclusion is drawn about the influence of Li Yuqiu’s achievements in the field of accordion music in China.
BYZANTINE ORNAMENT IN MURAL PAINTING OF CAVE TEMPLES OF MOUNTAINOUS SOUTHWESTERN TAURICA OF THE 13TH-15TH CENTURIES
Authors: ERGINA ALENA S. , ELKAN OLGA B.
Published: January 2025

The article analyses and systematises ornamental motifs in the decoration of cave temples in mountainous southwestern Taurica. As a result of analytical work with materials from archaeological research of the early 20th century and modern field research, artistic connections between southwestern Taurica and various regions of the Byzantine Empire of the 13th-14th centuries are discovered.
Silver Doping Boosts Electrochemiluminescence of Copper Nanocluster Assemblies
Authors: Shen Yanfei , Sun Qian , Wang Yuchen , Mo Fan , Huang Xinzhou , Zheng Ying , Wu Guoqiu , Zhang Yuanjian , Aikens Christine M.
Published: January 2025

Developing highly efficient electrochemiluminescence (ECL) emitters from copper nanoclusters (CuNCs) remains a significant challenge. This work reports the synthesis of silver (Ag)-doped Cu nanocluster assemblies (CuAgNCsAssy) on a large scale, which exhibit a 10-fold enhancement in ECL efficiency compared to the undoped counterpart. Computational and experimental studies are combined to gain insight into the intrinsic mechanism for the ECL improvements with Ag-doping. The results demonstrated that Ag doping strategically induces ground-state structural distortion in CuAgNCsAssy. This distortion enhances the polarity of metal sites, facilitating the key process of coreactant (triethylamine) radical absorption and accelerating electron transfer. Furthermore, Ag doping suppresses excited-state structural relaxation, leading to boosted radiative emission, which also promotes efficient energy transfer processes and extends radiative lifetime. As a proof of concept, an ECL aptamer sensor was constructed for detecting human epidermal growth factor receptor 2 (HER2) protein with high sensitivity. Leveraging the specific interactions between sulfhydryl groups and silver ions during post-treatment, the sensor achieves a superior detection limit.
Fair Benchmarking of Group Contribution and Machine Learning Models for Property Prediction: A New Data Splitting Strategy
Authors: Aouichaoui Adem Rosenkvist Nielsen , Liang Jingkang , Abildskov Jens , Sin Gürkan
Published: January 2025

Accurate prediction of thermophysical properties is important in chemical engineering, where group-contribution models (GCM) have been used extensively. Traditional GC-based models tend to use all available data for parameter estimation, preventing a fair comparison with machine learning (ML) methods that require separate training, validation, and testing data. In this study, we introduce a new data splitting algorithm which optimally partitions molecular datasets by ensuring comprehensive group representation in the training as well as representative chemical diversity by using Butina clustering. We extensively tested this new data splitting algorithm on GC methods for predicting critical properties (critical temperature, critical pressure and critical volume) and acentric factors across 739 organic compounds. We have benchmarked the GC models against a dozen ML algorithms including graph neural network (GNN) models. Results demonstrate that traditionally trained GC models lead to performance overestimation. GNNs consistently outperform other methods on the external test dataset, achieving lower errors than both traditional and ML-enhanced GC methods. This work establishes a fair benchmarking standard for comparing GC and ML-based property prediction models, facilitating a more reliable assessment of new methods.
Chemical-Intuition-Based Machine-Learning (ML) yield prediction for Mizoroki-Heck C-glycosylation
Authors: Mabit Thibaud
Published: January 2025

Machine-learning (ML) algorithms have emerged as a powerful tool in the field of organic chemistry. While these algorithms have proven to be highly efficient, they are often constrained by the availability of data. In addressing this limitation, we propose a ML-based yield prediction algorithm that operates in a low data regime, leveraging knowledge-based chemical descriptors without requiring extensive computational resources. This model has been utilized to predict Mizoroki-Heck C-glycosylation outcomes.
Celite-Catalyzed Mechanochemical C-H Bond Trifluoromethylation and Pentafluoroethylation
Authors: Hasiweder Thomas , Dinh Hoan , Pandey Dilip , Sorvanov Aleksandr , Khusnutdinova Julia
Published: January 2025

The late-stage trifluoromethylation of C‒H bonds in (hetero)arenes is an important tool in the development of novel pharmaceuticals and agricultural chemicals, which typically relies on the use of electrophilic trifluoromethylating rea-gents in bulk solvent with or without a catalyst, while mechanochemical approaches rely on the use of piezoelectric materials. Herein, we describe a mechanochemical approach, in which celite, diatomaceous earth or biogenic sand activated through ball milling induce C‒H bond perfluoroalkylation of (hetero)arenes. To the best of our knowledge, this is the first reported reaction promoted by mechanoactivated Celite, along a number of Earth-abundant metal oxides and carbonates, including non-piezoelectric solids. This approach offers environmentally benign, Nature-inspired materials as efficient mechanoactivators and conceptually broadens the scope of mechanoactivated solids to the mate-rials previously deemed inert.
Surface Induced Unfolding Reveals Unique Structural Features and Enhances Machine Learning Classification Models
Authors: Matney Rowan , Gadkari Varun
Published: January 2025

Native ion mobility-mass spectrometry combined with collision-induced unfolding (CIU) is a powerful analytical method for protein characterization, offering insights into structural stability, and enabling the differentiation of analytes of similar mass and mobility. A surface induced dissociation (SID) device was recently commercialized, enabling broader adoption of SID measurements and surface induced folding (SIU). This study evaluates SIU, benchmarking its reproducibility and performance against CIU on a Waters CyclicIMS ion mobility-mass spectrometer. Reproducibility studies were conducted on model proteins, including β-lactoglobulin (β-lac), bovine serum albumin (BSA), and immunoglobulin G1 kappa (IgG1κ). SIU and CIU exhibited comparable reproducibility, with root-mean-square deviation (RMSD) values averaging less than 4% across multiple charge states. Notably, SIU achieved unfolding transitions at lower activation thresholds, enhancing sensitivity to subtle structural differences and providing additional analytical information content such as unique high arrival time unfolding features and additional unfolding transitions. Furthermore, the differentiation of closely related protein subclasses, such as IgG1κ and IgG4κ, was improved with SIU, as evidenced by higher RMSD pair-wise comparisons and the identification of unique unfolding intermediates. These advancements translated into enhanced supervised machine learning models for IgG subclass classifications. SIU-trained models outperformed or matched CIU-trained models, achieving high cross-validation accuracies (>90%) and robust classifications of biotherapeutics Adalimumab and Nivolumab. This work establishes SIU as a complementary and efficient alternative to CIU, offering improved sensitivity, and analytical depth without loss in reproducibility. This work highlights the benefits of including SIU in protein characterization workflows, particularly in high-throughput and machine learning-guided applications.
Impact of Manufacturing Technology on The Quality of School Uniforms Produced in Small and Medium Scale Industries in Kumasi, Ghana.
Authors: Siaw S. D. , Dzramedo B. E. , Alhassan T.
Published: January 2025

Purpose: This study assessed manufacturing technologies small/medium-scale industries use to produce quality school uniforms in the Kumasi Metropolis.
Design/Methodology/Approach: The study adopted a descriptive survey design with a qualitative approach. The instruments used for the data collection were interviews and observation guides. Since the data was qualitative, it was analysed using thematic content analysis.
Findings: The result showed that industrial sewing machines, overlocking machines, and cutting machines, among others, were the most common machines used to produce school uniforms. The technology used in producing school uniforms positively impacted the products, making the uniforms meet average standards for their clients.
Research Limitation: The study is limited by the geographical coverage and the number of small medium scale firms involved.
Practical Implication: Given the need for a technological support system for expertise and advanced machinery, small/medium-scale firms will be well-positioned to compete with well-resourced big manufacturing companies.
Social Implication: Empowering small/medium-scale industries can increase productivity and create more employment, higher economic returns, and more equitable industrial norms.
Originality/Value: The study offers a novel approach to assessing the impact of manufacturing technology on the quality of school uniforms produced in small and medium-scale industries in Kumasi, thereby contributing to unearthing the industry's challenges and gaps.
Peran Mahasantri dan Alumni Ma’had Aly Hasyim Asy’ari dalam Program Pengabdian di Pesantren Tebuireng Jombang
Authors: Misbakhudin Ahmad , Makmun Moh. , Ashari M. Yahya
Published: January 2025

Ma'had Aly has the ability to establish and develop its own curriculum, guided by core, main, and supporting competencies based on classical texts and assessable using Credit Units (SKS). Additionally, the curriculum of Ma'had Aly must include materials on research implementation and community service. The purpose of this research is to investigate the community service program of Ma’had Aly Hasyim Asy’ari and the roles of students (mahasantri) and alumni within the program at Pesantren Tebuireng Jombang. The research method employed is qualitative, involving data collection, data reduction, data presentation, conclusion drawing, and verification. The research findings indicate that in its implementation, Ma’had Aly Hasyim Asy’ari, as a higher education institution, has fulfilled the principles of community service, including institutional principles, the principles of practical knowledge (ilmu amaliah) and scientific action (amal ilmiah), cooperation principles, sustainability principles, as well as educational and developmental principles. The roles of Mahasantri in the community service program at Ma’had Aly Hasyim Asy’ari in Pesantren Tebuireng include being mentors, administrators, and instructors. Mahasantri in the community service program can carry out three main roles: social control, an iron stock (strong successor generation), and moral force (exemplars). However, the role as an agent of change has not been fully realized, as the community service program only serves as a support rather than a pioneering force.
Pengembangan E-LKPD Interaktif Berbasis Liveworksheet Pada Materi Volume Bangun Ruang
Authors: Taupik Baban , Ruhiat Yayat , Rusdiyani Isti
Published: January 2025

Penelitian pengembangan ini adalah bentuk inovasi media ajar pada Lembar Kerja Peserta Didik yang berbasis multimedia berbantuan aplikasi Liveworksheet. Penelitian pengembangan dilakukan dengan menggunakan model ADDIE (Analysis, Design, Development, Implementation, dan Evaluation) dengan tujuan  untuk meningkatkan semangat belajar dan hasil belajar pada peserta didik,. Observasi, wawancara, dan angket digunakan untuk mengumpulkan data kualitatif dan kuantitatif, Selain itu uji  validasi penelitian ini melibatkan ahli materi, ahli media, dan praktisi pendidik. Dari hasil validasi materi diperoleh rata-rata 4,6 atau 92% dan hasil validasi media rata-rata 4,4 atau 88%, serta hasil uji produk dari praktisi diperoleh 82,5%. Berdasarkan hasil perolehan rata-rata itu e-LKPD sangat layak untuk di ujicobakan, dan hasil uji coba dari peserta didik memperoleh respon sangat baik sebesar 86%. Sehingga dapat disimpulkan produk pengembangan e-LKPD Berbasis Live worksheet materi Volume Bangun Ruang Kelas V Sekolah Dasar layak digunakan sebagai bahan ajar pada pembelajaran terhadap peserta didik..
Application Value of Artificial Intelligence-Assisted Diagnostic Systems in CT Diagnosis of Pulmonary Nodules
Authors: Xue Yang , Diao Mingqiang , Han Bing
Published: January 2025

Objective: To explore the application value of artificial intelligence-assisted diagnostic systems in the computed tomography (CT) diagnosis of pulmonary nodules. Methods: A total of 80 patients with pulmonary nodules, treated from June 2023 to May 2024, were included. All patients underwent pathological examination and CT scans, with pathological results serving as the gold standard. The diagnostic performance of CT alone and CT combined with the artificial intelligence-assisted diagnostic system was analyzed, and differences in CT imaging features and evaluation results of benign and malignant pulmonary nodules were compared. Results: The sensitivity, specificity, and accuracy of CT combined with the artificial intelligence-assisted diagnostic system were significantly higher than those of CT alone (P < 0.05). Moreover, the false-positive and false-negative rates were significantly lower for the combined approach compared to CT alone (P < 0.05). Conclusion: The artificial intelligence-assisted diagnostic system effectively identifies malignant features in pulmonary nodules, providing valuable clinical reference data and enhancing diagnostic accuracy and efficiency.
Effective Contract in the Sphere of Higher Education in the Russian Federation
Authors: Zharova E. N.
Published: January 2025

The relevance of the research topic. The effective contract system is a crucial tool for developing the university’s human capital. An effective contract is a contract that includes a clear system of indicators, the achievement of which will serve as the basis for calculating incentive payments to employees, thereby driving the growth and development of the university’s activities. Moreover, it can reduce the transaction costs that arise when coordinating the interests of stakeholders and improve the efficiency of work processes within the organization.

   The method of the research is based on the scientific works of domestic and international scholars and practitioners in the fields of institutional and market economics, economic theory, and contract theory.

   The scientific novelty of the work lies in the author’s proposed definition of transaction costs in the context of higher education, and the attempt to justify the use of an effective contract system to minimize them.

  Research findings: The author provides a theoretical overview of the definitions of the concept of transaction costs, considering the types and characteristics of such costs in relation to higher education.

   Practical significance: The article may be beneficial for university administrators in making managerial decisions, as well as for researchers and economists working with transaction costs. The research aims to develop theoretical frameworks in the field of regulating social and labor relations in higher education.
The Role of Rresearch and Development in Global Technological Competition
Authors: Kiselev V. N. , Kupriyanova L. M.
Published: January 2025

Subject. Research and development in science and technology, as well as the development of the innovation sector, are top priorities for the country’s socio-economic well-being and security.

   Purpose. The competitive strategy is based on the analysis of the market for modern technologies and the identification of key areas for the development of competition. The goal is to ensure the country’s future economic competitiveness and the national security of Russia and other developed countries.

   Methodology. The study of priority scientific areas within the context of national scientific and technical policies in developed countries. It also explores the key characteristics of the information technology market and the unique features of its development and operation. Furthermore, the researchevaluates the financing of research and development activities. It analyzes the costs associated with these activities and their impact on economic growth.

   Results. The rationale for financing research and development in priority areas lies in the targeted strategic development of the economy. This development should be innovative, involving the creation of a high-tech complex and the effective use of the results of intellectual activity. The focus is on ensuring the security and competitiveness of the country in science, technology, and socio-economic well-being. The most important condition for the efficient use of public funds is the effective management of relevant programs and projects.