bluuebunny/crossref_metadata_2025 huggingface dataset:
Музичне мистецтво як засіб міжкультурної комунікації
Authors: Ван Ся
Published: August 2024

У статті досліджується роль музичного мистецтва як потужного інструменту для розвитку міжкультурної комунікації та культурної толерантності в умовах сучасної глобалізації та інтенсивних міжкультурних обмінів. Музика, завдяки своїй універсальній природі, має унікальну здатність долати мовні і культурні бар’єри, сприяти формуванню емпатії, взаємоповаги та культурної чутливості серед представників різних культурних традицій.Важливість музичного мистецтва у міжкультурній комунікації підкріплюється його здатністю відображати і передавати емоційні та культурні значення, що дозволяє людям з різних культур знаходити спільну мову і знижувати культурні напруження. У статті детально аналізуються різні аспекти впливу музики на формування культурної ідентичності та соціальної інтеграції, а також розглядається, як музичне мистецтво може бути використане як ефективний метод для виховання толерантності й взаєморозуміння.Основною метою статті є дослідження ролі музичного мистецтва у міжкультурній комунікації та розробка практичних методичних підходів для його впровадження у педагогічний процес. Для досягнення цієї мети проведено аналіз теоретичних основ міжкультурної комунікації та ролі музичного мистецтва у цьому процесі. Зокрема, стаття розглядає, як музичні традиції можуть бути інтегровані в освітні програми, щоб підтримувати культурний обмін і підвищувати культурну чутливість учнів. У дослідженні представлено практичні приклади успішного застосування музичних практик в навчальних закладах, включаючи організацію культурних музичних фестивалів, інтерактивних занять з традиційними музичними інструментами і використання мультимедійних ресурсів для вивчення музичних традицій.Стаття також надає рекомендації для педагогів, дослідників і фахівців у сфері музичної освіти, які прагнуть використовувати музичне мистецтво для підтримки міжкультурної комунікації. Вона пропонує цінні ресурси та методичні рекомендації для створення ефективних освітніх програм, що сприяють культурному взаєморозумінню та інтеграції в навчальному процесі. Останні висновки підтверджують значний потенціал музики як засобу для розвитку міжкультурних зв’язків, а також необхідність подальшого дослідження та впровадження нових методичних підходів у педагогічну практику для максимізації цього потенціалу. Таким чином, стаття є важливим джерелом для всіх, хто зацікавлений у використанні музики для покращення міжкультурних зв’язків і створення інтеграційного навчального середовища.
Підготовка майбутніх вчителів фізики до створення та використання мобільних застосунків на уроках фізики
Authors: Терещук Сергій , Колмакова Віра
Published: August 2024

В статті викладено результати дослідження проблем впровадження технології мобільного навчання у закладах загальної середньої освіти. Нині швидкий розвиток мобільних, хмарних, і загалом цифрових технологій та штучного інтелекту зокрема, є свідченням актуальності використання мобільних пристроїв в системі освіти України. Загальновідомо, що зміни в освіті зазвичай відбуваються повільно, в той час, як розвиток технологій прямує швидкими темпами, випереджаючи освітні інновації. Для успішного впровадження технології мобільного навчання, яка швидко змінюється внаслідок появи нових технологічних розробок в галузі мобільних та дотичних технологій, учасники освітнього процесу мають брати опосередковану участь у змінах та просуванні цифрових технологій в освіті. Це значною мірою скоротить відставання технологій навчання від розвитку цифрових технологій, а з іншого боку підвищить ефективність методичних систем навчання орієнтованих на формування у здобувачів наскрізних умінь та відповідних компетентностей. У представленому дослідженні показано, що одним з шляхів реалізації запропонованого підходу, є підготовка майбутніх вчителів фізики та природничих наук до розробки та впровадження мобільних додатків як складової технології мобільного навчання у методичній системі навчання фізики та природничих наук.Проведене дослідження дозволило зробити наступні висновки. Розвиток мобільного навчання розвивається через появу нових хмарних та мобільних технологій, технологій доповненої реальності та штучного інтелекту тощо. Виявлено, що одним з важливих напрямів модернізації методичної системи підготовки майбутніх вчителів фізики та природничих наук є залучення здобувачів вищої освіти до розробки та впровадження в освітній процес закладів загальної середньої освіти мобільних додатків.Для оптимізації процесу створення освітніх мобільних застосунків, пропонуємо залучати підхід no-code (zerocode), яким передбачається програмування без написання коду. Спеціальні сервіси (у вигляді онлайн конструкторів) пропонують вже готові фрагменти, з яких можна зібрати мобільний застосунок. Створення програмних продуктів на основі no-code, так само як і написання коду, вимагає спеціальної підготовки. Отже, це має враховуватися у методичній системі підготовки майбутніх вчителів фізики та природничих наук.
The Role of Disinformation in Modern Age: An Impact on Chinese Politics
Authors: Changan Ye
Published: August 2024

A substantial body of research has been devoted to analyzing the factors that influence people's change in political behavior through the use of various media. Nevertheless, the phenomenon of political opinion and attitude change within the realms of online and social media has been relatively overlooked. By developing theoretical model and evaluating empirically a structural equation model that establishes a connection between online and social media, political disinformation, and media content changes, this study attempts to cast light on this body of work. By utilizing autoregressive causal tests conducted on panel data from three phases of the China Survey collected in 2022 and 2023, our findings suggest that political disinformation, online media, and social media are all positive predictors of changes in the political attitudes of individuals. Moreover, empirical evidence from structural equation tests demonstrates that disinformation is more likely to be disseminated through social media and online news platforms. This, in turn, facilitates political change in the online media domain by predicting greater levels of political transformation. Additional recommendations for future direction and limitations are explained in this research.
Chinese Educators Adoption of Multimedia Tools for Teaching: A Cross-sectional Research on Beijing Population
Authors:   Changchun Normal University Changchun, Wang Bing , Wang Jinling ,   Anhui University of Finance and Economics Bengbu
Published: August 2024

In the digital age, the landscape of education is continuously evolving with the integration of multimedia tools into teaching practices. China, as a leading technology adopter globally, is now witnessing the massive use of digital media in educational landscapes. In the capital city of Beijing, which is recognized for its advanced technologies, the use of multimedia tools will help to strengthen the effectiveness of teaching and ability of students to get engaged. Consequently, despite the fact that multimedia tools in education can bring many benefits, the degree of their adoption by Chinese educators is not very clear. Thus, this research is aimed to fill the void by examining the factors that underlie the use of multimedia tools for teaching by Chinese educators in Beijing. Through an extension of the UTAUT model by incorporating additional factors like perceived institutional support and perceived student engagement, this study is going to offer a complete perspective of the adoption factors in Chinese educational system. The data were collected from 300 educators using convenience sample technique from public and private colleges and universities that are located in Beijing. The structural equation modeling analysis was performed with IBM SPSS AMOS software. The findings of the study demonstrate that performance expectancy, effort expectancy, social influence, and facilitating conditions are key determinants of behavioral intention (BI), and facilitating conditions also contribute to adoption. Similarly, the results show that perceived institutional support as well as perceived student engagement have direct links with BI. As mediator, the BI is examined among the study's independent variables. This research will help policymakers and educators to devise the strategies which are useful for the effective implementation of multimedia tools into teaching methods.
Chinese School Boys and Social Media: A Study of Cyberattacks
Authors: Ying Wang
Published: August 2024

This study was conducted to measure the relationship between social media use and cyberattacks on students. The study also measures the moderating role of privacy issues, lack of information, and parental control concerning social media use and cyberattacks on students. The quantitative data was used in this research to measure the relationship between variables. Eight hundred fourteen responses were collected, and the respondents of this study were the students at a school located in Shanghai and its remote areas. The motivation of this research was to provide theoretical and practical findings to reduce the number of cyberattacks on students, which is necessary for their better social media use experience. The study analyzed the collected data using R language, a novel contribution to the literature. The direct and moderating relationships reported by this research were empirically analyzed to provide reliable findings in the literature. The study also recommends policy implications to keep students informed and away from cyberattacks.
Preparation and Characterization of Copper Nanoparticles Stabilized by Poly(vinyl alcohol) for Catalytic Oxidation of 1-Propanol
Authors: Maksotova Kuralay S. , Akbayeva Dina N. , Bakirova Botagoz S. , Serikkyzy Akerke , Lesbek Bexultan M. , Tatykhanova Gulnur S. , Kudaibergenov Sarkyt E.
Published: August 2024

The aqueous solution of copper (II) complex of poly(vinyl alcohol) (PVA-Cu(II)) was characterized by conductimetric titration, UV-Vis spectroscopy and FTIR. The molar composition of the PVA-Cu(II) complex was determined to be equimolar. Subsequently, the PVA-Cu(II) complex was reduced by sodium borohydride to prepare copper nanoparticles (CuNPs) stabilized by PVA (PVA-CuNPs). According to DLS measurements in aqueous solution the average size of PVA-CuNPs was varied from 10 to 25 nm depending on the amount of sodium borohydride used for reduction. The optimal volume of sodium borohydride to obtain 96 % PVA-CuNPs with 10 nm size was found to be 3 mL of NaBH4 (0.5 mol×L–1). The PVA-CuNPs were then deposited onto SiO2 support to obtain SiO2/PVA-CuNPs nanocatalyst for the oxidation of 1-propanol. The SEM image and XRD spectrum of SiO2/PVA-CuNPs nanocatalyst showed the deposition of PVA-CuNPs on the surface of SiO2. The resulting SiO2/PVA-CuNPs nanocatalyst was used for the oxidation of 1-propanol to propionaldehyde by molecular oxygen in a batch-type catalytic reactor at 20oС and atmospheric pressure. The optimum catalyst mass and reaction time were found for the conversion of 1-propanol to propionaldehyde with yields ranging from 61.4 % to 87.8 %. Criteria of hydrodynamic similarity (Re, Pr’, Sh), overall volumetric mass transfer coefficient (), and economic metric (STY) were evaluated. 1-Propanol reacted with the decomposed atomically adsorbed oxygen atoms on the Cu(111), (220) surfaces to form propionaldehyde and water.
DETERMINATION OF EFFECTIVE POWER BY THE VALUE OF ENGINE SUPPORT REACTIONS DURING OPERATION IN FREE ACCELERATION MODE
Authors:   Novosibirsk State Agricultural University, Kurnosov Anton F. , Guskov Yuriy A. ,   Novosibirsk State Agricultural University
Published: August 2024

Ensuring high performance of transport-technological machines is possible to achieve only with timely assessment of the energy performance of the engine. The problem of measuring effective torque and effective power is currently unsolved. The paper proposes a method for determining the effective power by the magnitude of engine support reactions. The purpose of the research is to improve the method of determining the effective power by the value of the reactions of the supports of an internal combustion engine when operating in free acceleration mode. The results obtained have established that the effective power of an engine can be determined by the value of support reactions averaged over 180°. Engine power varies from 0 to 61 kW in the crankshaft speed range of 600...2184 min–1 . Deviation of calculated and experimental values of power at nominal crankshaft speed is not more than 1.71 kW or 2.85 %. The results of experimental studies can be used to improve the method of determining the engine power under operating conditions.
RADIOPROTECTIVE PROPERTIES OF LOW-MOLECULAR BIOLOGICALLY ACTIVE METABOLITES OF THE CREEPING ALFALFA EXTRACT IN PREVENTION OF RADIATION-INDUCED LIVER INJURY
Authors:   Bashkir State Agrarian University, Bagautdinov Aidar M. , Baimatov Nikolay V. ,   Federal Biomedical Agency of the Russian Federation, Mullagulova Gulnara M. ,   Moscow State University of Technology and Management named after K.G. Razumovsky (First Cossack University), Melnikova Elena N. ,   Moscow State University of Technology and Management named after K.G. Razumovsky (First Cossack University), Kozlov Valery N. ,   Moscow State University of Technology and Management named after K.G. Razumovsky (First Cossack University)
Published: August 2024

One of topical issues of radiobiology is clarifying the action mechanisms for the radiation modifying properties of biologically active plant metabolites. The study aimed to interpret the action mechanisms for the hepatoprotective properties of the Erakond-pectin herbal preparation in the treatment of the radiationinduced injury of the hepatic tissue in an experimental examination. 36 outbred male Wistar rats were used in the experiment. They were divided into 3 groups of 12 each: the 1st − biological control; the 2nd − radiation control; the 3rd – test group. The test group received 40 % Erakond-pectin herbal preparation for 10 days before and after irradiation. Animals of the 2nd and 3rd groups were subjected to a single irradiation at a sublethal dose of 4 Gy. On the 30th day after irradiation, the animals were decapitated under ether anesthesia, followed by removal of the liver for histological studies. The results of the experiment indicate the presence of significant signs of pathomorphosis in the structure of the liver parenchyma during the period of post-radiation recovery in rats of the 2nd group: disruption of the beam structure, the appearance of foci of micronecrosis, signs of fatty, granular and hydropic degeneration of hepatocytes, fragmentation of nuclei, narrowing of sinusoidal hemocapillaries. The use of the Erakond-pectin herbal preparation as pathogenetic therapy for acute radiation pathology eliminated the deep development of dystrophic-degenerative processes in the liver parenchyma in animals of the 3rd group: intensive proliferative processes were observed; Accumulations of polymorphonuclear leukocytes, lymphocytes and macrophages were identified along the interlobular bile ducts and sinusoidal capillaries. The study has shown that the radiation protective effect of “Erakond-pectin” is formed at the physicochemical stage of radiation damage to the liver due to the inhibition of water radiolysis processes by polyphenolic compounds that are constituents of creeping alfalfa. The molecular biological mechanism of the creeping alfalfa action is provided by the ability of polyphenolic compounds to inhibit free radical processes in radiation-induced injuries of the hepatobiliary system, as well as to enhance reparative processes due to anti-inflammatory, anabolizing and immunotropic effects.
INFLUENCE OF CROSSING PARENTAL LINES ON THE REPRODUCTIVE AND PRODUCTIVE QUALITIES OF COWS
Authors:   Bashkir State Agrarian University, Danilova Ekaterina V. , Khabirov Airat F. ,   Bashkir State Agrarian University, Avzalov Ruzil Kh. ,   Bashkir State Agrarian University
Published: August 2024

The article presents the results of a comparative assessment of the reproductive and productive qualities of cows depending on the cross of parental lines in the conditions of Plemzavod "Urozhay" LLC, Ilishevsky district of the Republic of Bashkortostan. The research material was based on data from the Selex program. Dairy cattle" for the period from 2019 to 2023. The object of the study was the breeding stock of the herd belonging to the lines Vis Back Idial 1013415, Reflection Sovering 198998, Montvik Chieftain 95679 with a total number of 419 heads. It has been established that the highest milk productivity is ensured by a cross between the paternal line R. Sovering and the maternal line R. Sovering with a milk yield of 6599 kg. The most optimal service period is provided by the combination of the paternal line V.B. Aidial with the maternal line M. Chieftain, with a duration of 112.5 days. The highest value of the reproductive capacity coefficient was obtained by crossing the paternal line of M. Chieftain with the maternal line of M. Chieftain – 0.94
Bilgilendirme tasarımı ve gelişen dünyadaki yeri
Authors: Güler Tuğcan
Published: August 2024

Bilgi, insanın dünyaya en önemli katkılarından biri olarak uygarlığın gelişimine paralel şekilde kapsamını artırmıştır. Geçmişte yalnızca seçkinlerin sahip olabildiği bilgi önce sanayi devrimi ardından iletişim ve bilişim teknolojilerinin gelişimiyle herkesin her an ulaşabileceği bir noktaya gelmiştir. Ancak bütün bu olumlu gelişmelere karşın iletişim kanallarında yaşanan bilgi bombardımanı nedeniyle doğru ve yanlış içerik yan yana yer alarak karmaşaya neden olmaktadır. Bilgilendirme tasarımı bu sorunla başa çıkmak amacıyla doğruluğundan emin olduğu içerikleri okuyucunun kolay anlayabileceği tasarımlara dönüştürür. Veriden tasarlanmış ürüne giderken nesnellik ve doğruluktan ayrılmayan bir iletişim tasarımı hedefler. Bunun için bilimsel bakış açısıyla bulabileceği tüm verileri toplar ve gerçeğe ulaştıktan sonra insanların anlayabilmesi için görselleştirir. Bilgilendirme tasarımı, henüz bir tasarım disiplini olarak adlandırılmadığı zamanlarda da gelişen dünyanın sorunları çözmeye çalışmıştır. Gelecekte de çözmeye devam edecektir.
Yönetmen ve ressam olarak Akira Kurosawa’nın renk kullanımının incelenmesi: “Ran” filmi örneği
Authors: Uzun Hazneci Özlem
Published: August 2024

Sinema sanatı birçok görsel ve sessel öğenin bir araya gelmesi ile oluşan kompleks bir yapıdır. Sahneler, kameranın hareketi ile değişen planlar, görsel kompozisyonlar, kurgu gibi faktörlerle birlikte düşünüldüğünde anlamı oluşturan her bir birimin stratejik önemi daha da ön plana çıkmaktadır. Bu öğeler arasında renk, hem görsel estetik ve kompozisyon bağlamında, hem de insan psikolojisi, duygulanımlar ve özdeşim bağlamında etkili olan önemli bir öğe olarak karşımıza çıkar.
Sinemanın siyah beyazla başlayan ilk yıllarından bu yana renk yönetmenlerin ve araştırmacıların odağında olmuştur. Bu alanda yapılan araştırmalardan farklı olarak bu makale, renkle ilk ilişkisi resim sanatı üzerinden kurulmuş olan ve özgün filmleriyle dünya çapında bilinirlik kazanmış bir yönetmen olan Akira Kurosawa’ya ve Ran (1985) filmine odaklanmaktadır. Araştırma, yönetmenin ressam kimliğinin filmdeki renk kullanımı üzerindeki etkisini ve sinemasal üretimlerinde renklerin görsel kompozisyon, karakter temsili ve dramatik yapı üzerindeki işlevlerini ve kullanımını incelemektedir.
Bu bağlamda hem Kurosawa’nın çekim öncesinde yaptığı resimlerde renge yönelik yaklaşımı saptanmış, hem de Ran filminde anlatıyı oluşturan olay örgüsü takip edilerek renk odaklı görsel ve içerik analizi yapılmıştır. Bu analizin sonucunda, Kurosawa’nın "Ran" filminde renk öğesini bilinçli bir şekilde, çok yönlü ve işlevsel olarak kullandığı görülmüştür. Film boyunca kullanılan sıcak- canlı ve ya soğuk-koyu tonlardaki renk paletleri, sahnelerin atmosferini ve dramatik yapısını izleyiciye daha yoğun ve derinlikli bir şekilde aktarmak için, ana karakterleri, karakteristik özelliklerini ve film boyunca süregelen yolculuklarını, izleyicinin özdeşim kurabileceği en etkin şekilde ifade etmek için ve izleyicinin kalabalık savaş sahnelerinde filmi kolaylıkla takip edebilmesini sağlamak için kullandığı sonucuna ulaşılmıştır. Elde edilen bulgular, renklerin film anlatısında nasıl etkili bir araç olabileceğine dair önemli çıkarımlar sunarken sinema ve renk alanındaki çalışmalar için yeni perspektifler sunmayı amaçlamaktadır.
Enhancing Empathy Through the Body
Authors: Giannikopoulos Polychronis
Published: August 2024

In recent years, many scholars of performing arts, cinema, and mass media have been focusing their studies on the body, examining the perception of the physical experience of projection and connecting bodily states with spiritual and ethical constructs. The purpose of this article is to present how cinema and performance can utilize the body in ways that enhance the audience's empathy. The role of cinema is to enable the viewer to liberate their body from its “individual ownership” and to rediscover its potential. Similarly, performances challenge the audience to respond with their bodies to the stimulation of certain emotions, experiencing a pure sensation through participation. However, experiencing empathy, a viewer can impose their ideas or reactions onto the experiences or emotions of others, believing that what they are experiencing is what others experienced.
Diffuse large B-cell lymphoma in the C8 root mimicking a schwannoma: illustrative case
Authors: Ramirez-Velandia Felipe , Manchella Mohit K , Penumaka Anirudh , Schwartz Steven N , Varma Hemant , Vega Rafael A , Moses Ziev B
Published: August 2024

BACKGROUND

Primary lymphomas arising in peripheral nerves are extremely rare, with just a few case reports documented in the literature.

OBSERVATIONS

The authors present the case of a 62-year-old female with C8 radiculopathy, initially suspected to have a schwannoma based on imaging but later diagnosed with primary C8 nerve root B-cell lymphoma. Following histopathological confirmation, the patient underwent 5 courses of chemotherapy, resulting in a decrease in the size of her lesion on magnetic resonance imaging. At her clinical follow-up 3 months later, her symptoms had improved. After performing a systematic review of the literature while adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines, the authors found only 3 similar cases, each with atypical presentations and treated with various chemotherapeutic agents and one of which experienced a central nervous system recurrence.

LESSONS

These cases highlight the importance of early and accurate diagnosis for optimal management and long-term vigilance of primary lymphomas in the peripheral nerve.

https://thejns.org/doi/10.3171/CASE24338
Permanent unilateral visual loss and orbital compartment syndrome following unilateral frontal craniotomy: illustrative case
Authors: Basurrah Abdulaziz A , Atteiah Abdulgadir T , Ajlan Balgees A , Subhan Irshad A , Alharthi Mohammed S , Rezk Essam M
Published: August 2024

BACKGROUND

Vision loss following supine craniotomy is an unexpected and devastating complication for the patient and the operating team. Postoperative vision loss (POVL) is commonly associated with cardiac, spinal, neck, and prone head surgeries, as they share common risk factors, such as a prone position, intraoperative hypotension, a longer anesthesia duration, and the use of vasopressors. Herein, the authors report a case of irreversible vision loss following a frontal craniotomy in the supine position together with a review of the literature. All published cases in the literature since the first reported case in 1970 are summarized. Possible etiologies and proposed preventive measures are discussed.

OBSERVATIONS

Different pathologies, such as vascular, intra-axial, and extra-axial lesions, are associated with POVL and have similar clinical courses and nonrecovery rates, which raises the question of whether POVL begins during the exposure part of these surgeries.

LESSONS

Preventive measures could include avoiding direct ocular pressure during flap reflection, the use of elastic bands or fishhooks to avoid stretching the orbital contents and impairing venous outflow, and a careful review of the venous drainage of frontal tumors, which could help avoid unnecessary large venous thrombi or waxing. The role of intraoperative visual neurophysiological monitoring in predicting POVL requires further exploration.

https://thejns.org/doi/10.3171/CASE2434
Spinal epidural arteriovenous fistula with an intraosseous shunt arising in a compression fracture vertebra: illustrative case
Authors: Akaike Natsuki , Okawa Masakazu , Ishii Akira , Kikuchi Takayuki , Yamao Yukihiro , Abekura Yu , Tsuji Hirofumi , Akiyama Ryo , Matsukawa So , Arakawa Yoshiki
Published: August 2024

BACKGROUND

Spinal epidural arteriovenous fistulas (SEAVFs) with intraosseous shunts are rare, and their underlying pathophysiological mechanisms remain unclear.

OBSERVATIONS

A female in her 70s presented with rapidly progressive weakness in both lower extremities and urinary retention. Lumbar spine magnetic resonance imaging revealed spinal cord edema and flow voids due to venous dilation and compression fractures of the L1 and L2 vertebral bodies. Spinal angiography revealed ventral and dorsal somatic branches of the lumbar arteries at L1 and L2 flowing into the shunt. High-resolution cone-beam computed tomography revealed a shunt within the compression-fractured vertebral body bone of L2. The intravertebral shunt blood flowed into the ventral epidural venous plexus (VEVP) and returned into the perimedullary vein (PMV). Transarterial embolization was performed using N-butyl cyanoacrylate and Onyx-18 for feeder L1 and feeder L2, respectively. Onyx-18 was injected from the VEVP into the PMV, and complete occlusion of the shunt was achieved. The patient showed symptomatic improvement postoperatively.

LESSONS

Vertebral compression fractures are common but rarely associated with SEAVFs.

https://thejns.org/doi/10.3171/CASE2457
ACCUMULATION OF THE SILT SEDIMENTS BY DITCH-BANK HYDRAULIC ENGINEERING CONSTRUCTION UNDER THE CONDITIONS OF ROSTOV REGION
Authors:   Russian Scientific Research Institute of Land Improvement Problems, Novocherkassk, Russian Federation, Balakay Georgiy T. , Poluektov Evgeniy V. ,   Novocherkassk Engineering and Land Reclamation Institute – branch of the Don State Agrarian University, Novocherkassk, Russian Federation
Published: August 2024

Purpose: to study the ability of the ditch-bank hydraulic structure in combination with reclamation protective forest plantings to accumulate silt sediments, carried by the surface melt and rainwater runoff, on the chernozems of Rostov region. Materials and methods. The object of research is the ditch-bank hydraulic structure in combination with a reclamation protective forest plantation near Stepnoy village, Aksay district, Rostov region, founded in 1982 under the leadership of Professor E. V. Poluektov. The experimental design consisted of three options: 1) measuring runoff at a stationary runoff site (control); 2) a ditch-bank in a reclamation protective forest plantation, surface slope 2–3°; 3) a ditch-bank in a reclamation protective forest plantation, surface slope 5–6°. The generally accepted research methods of G. V. Dobrovolsky and the methodology of the Russian Scientific Research Institute of Land Improvement Problems were used. Results. The studies were conducted in 1982–2023 for three periods: 1982–1995, 1996–2004 and 2004–2023. Archival observations of Professor E. V. Poluektov for the 1st and 2nd periods and data from studies conducted in 2023 were used. It has been determined that the simplest ditch-bank protective hydraulic structure, in the inter-row spacing of reclamation protective forest plantations, is capable of reducing soil erosion and accumulating sediment in the ditch and in front of the bank in a volume of 0.84 t/linear m with a slope of 2–3° and up to 1.74 t/linear m with a slope of 5–6°. Conclusions. It has been determined that if in the option with a slope of 2–3° there is still a overcapacity for the sediment accumulation in front of the bank, sufficient for another 40–50 years at such filling rates, then with a slope of 5–6° the ditch capacity reserves and space in front of the bank for the period 1982–2023 are filled to 96 %, therefore it is necessary to provide measures to increase the capacity for sediment accumulation.
A theoretical framework for understanding the practice-driven institutionalism: Evidence from hospitality industry
Authors: Erbaş Emre
Published: August 2024

The recent perspective of practice-driven institutionalism introduces a novel approach to comprehending the boundary framework within which organizational actions, interactions, norms, values, and behaviors develop. Nevertheless, the specific role played by memetics, particularly materials, in the genesis and networking of these practices within this framework remains unclear. In pursuit of this objective, we introduce a theoretical framework designed to facilitate the systematic analysis of the evolutionary dynamics inherent in institutional logics, with a particular emphasis on the practices that emerge from the epistemic discoveries of materials, which have been overlooked in tourism and business research in general. Relying on 520 interviews from tourism industry veterans, we conclude with a typology of material-dependent practice-driven institutionalism which points to a systematic pattern where industrial practices resemble each other in a domino effect around the attributes of a dominant material. The typology concludes that material-dependent practice-driven institutionalism creates an 'invisible glass ceiling' that maintains industry practices at the status quo, thereby neutralizing any organizational and managerial initiatives that contradict the inherent properties of the dominant material. We advocate for the adoption of the framework we have introduced among industry practitioners, as it offers a valuable tool for generating meaningful outcomes from their organizational endeavors and practices, set within the complex interplay of institutional logics.
Impact of P2Y12 Inhibitors on Thrombus Burden in ST-Segment Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention
Authors: Eynel Emre , Vatan Bülent , Yılmaz Direnç
Published: August 2024

ABSTRACT:
INTRODUCTION AND AIM: In this study, we aimed to investigate the effects of P2Y12 inhibitors administered at the time of admission to the emergency department in patients presenting with ST-segment elevation myocardial infarction (STEMI) and undergoing primary percutaneous coronary intervention on the thrombus score in the culprit lesion.

MATERIALS AND METHODS: This retrospective study planned to compare the pre-procedural thrombus scores of 225 patients who presented with STEMI underwent primary percutaneous coronary intervention, and received different P2Y12 inhibitors within 2 hours after the onset of chest pain.

RESULTS: A total of 225 patients were included in our study. Among them, 72 patients received clopidogrel, 85 received ticagrelor, and 68 received prasugrel as the P2Y12 inhibitor. The pre-procedural Grade 5 thrombus was significantly lower in the ticagrelor group compared to the other groups (Clopidogrel 77.78%, Ticagrelor 61.18%, Prasugrel 77.94%; p=0.017).

CONCLUSIONS: In our study, ticagrelor among the pre-procedurally loaded P2Y12 inhibitors was found to be superior in terms of early thrombus intensity, and these results are thought to be associated with the early onset antiplatelet effect of ticagrelor.

Keywords: ST segment elevation myocardial infarction, clopidogrel, prasugrel, ticagrelor, thrombus score
On the fluid-metamorphic regime of deep fault zones (in connection with the article by G.G. Kocharyan and I.V. Shatunov “topical issues in hydrogeology of seismogenic fault zones”)
Authors: Rodkin M. V.
Published: August 2024

To a large extent, the deep fluid regime plays a key role in seismicity, aseismic deformation of the lithosphere, and ore and oil genesis processes. An informative detailed analysis of the hydrogeology of shallow fault zones is presented in (Kocharyan and Shatunov, 2024), where it is noted that the nature of fluid dynamics of deep faults is poorly understood. In this article, the main attention is paid to the problems of describing deep fault zones, and a number of contradictions arising from this consideration are pointed out. It is shown that the challenges of such a description are largely eliminated by considering the processes of metamorphism and related anomalies in the physical properties of the Earth’s interior. A further refinement of the proposition that earthquakes occurring at different depths have different physical mechanisms is presented.
A 5G-Enabled intelligent healthcare sector with deep learning assistance
Authors: Kapse Vinod Mansiram , Joshi Manish , Karthikeyan M. P. , Choudhary Deeksha
Published: August 2024

Deep learning (DL) and 5G connectivity have brought new opportunities to the medical sector, particularly with regard to diabetic observation. The objective of this study is to provide accurate, remote, and real-time monitoring of diabetes patients by utilizing the potential of 5G technology and sophisticated deep-learning techniques. The seamless collection and quick transmission of patient data made possible by the integration of 5G-enabled sensors and gadgets allows for ongoing monitoring and prompt action. This work introduces an innovative dynamic equilibrium optimized gated recurrent unit (DEO-GRU), which may be used to anticipate glucose swings, evaluate complex data patterns, and offer tailored insights for efficient diabetes care. In addition to improving patient care and participation, the suggested DEO-GRU approach equips medical staff with precise diagnostic instruments and pre-emptive intervention techniques. In order to diagnose the patient, the intelligent system gathered the data from them and used the DEO-GRU approach to classify the data. The results shows the promise of a 5G-enabled smart healthcare environment, showing notable improvements in the surveillance of diabetes patients and opening the door to individualized treatment and improved health results. Furthermore, the suggested approach outperforms other current algorithms in the monitoring of diabetes patients in terms of accuracy.
Artificial intelligent based intrusion detection system for safe cloud information retention
Authors: Singh Navjot , Singh Alka , Chakravarty Ajay , Ramalingam Kamalraj
Published: August 2024

Cloud technology's rapid growth has produced significant benefits for many sectors, including improved data retention expandability and adaptability. However, concerns about information security and the possibility of unwanted attacks and unauthorized access have been raised due to the growing amount of sensitive data stored in the cloud. This study suggests a novel artificial intelligence (AI)-assisted intrusion detection system (IDS) that is intended to guarantee the secure storage of data in cloud environments to ensure their concerns. In this paper, we present a unique hybrid cockroach swarm-intelligent integrated boosted random forest (HCSI-BRF) approach for efficient IDS. In this work, the CICIDS2017 dataset is first collected to assess the suggested HCSI-BRF approach. The effectiveness of the HCSI-BRF based architecture was verified utilizing thorough testing and assessment on the Python platform, proving its capacity to detect and address possible security risks in cloud environments. Our method achieves superior of precision (0.97), recall (0.94), accuracy (0.96), and F1 scores (0.95), in IDS compared to the current approaches. The outcomes demonstrate the system's resilience and dependability, establishing it as a viable option for guaranteeing safe and dependable data storage in cloud computing systems. This study addresses the growing concerns about the confidentiality and safety of data in the digital era by advancing the creation of robust and proactive security solutions for data storage in the cloud.
Optimizing laser metal implantation through customized mayfly-integrative feed-forward neural network based clad property assessment
Authors: Jayabalan Bhuvana , Kaushik Naresh , Chaudhary Pavan , Sharma Sunil
Published: August 2024

Optimizing laser metal implantation is a multidisciplinary strategy that aims to improve the precision and efficiency of implanting metallic elements into the surface of a material by utilizing a laser. Cladding improves qualities by layering materials. Clad attribute describes the specific characteristics of clad material or substrate. The difficulty of attaining accurate control over the process in complex geometries is the major limitations. To overcome this issue, we proposed the customized mayfly-integrative feed-forward neural network (CM-IF-FNN) method. The purpose of CM-IF-FNN is to optimize the metal implantation. The laser metal dataset is collected from single clad data, and the collected dataset is processed using the Min-max normalization technique. When extracting the data, the principal component analysis (PCA) method is utilized to process and remove the unwanted data. The results of this study were simulated using MATLAB software. The effectiveness of the suggested approach is evaluated by contrasting it with other methods, such as KNN, CNN, and RF, which are already in use, and analyzing the results in terms of metrics such as RMSE, MAPE, accuracy, and R-squared (R2). In conclusion, the result reveals that the accuracy of classification achieved by our method is superior to that of the computational systems.
Modernizations in wear-resistant materials: Development of aluminum and polyamide feedstock filaments for fused deposition modelling
Authors: Kaushik Naresh , Singh B. P. , Sinha Sanjay Kumar , Rajendran Naveen Kumar
Published: August 2024

In the area of additive manufacturing (AM), the development of inside filaments has become an innovation in technological advancement as it pertains to fused deposition modelling (FDM). Without the use of traditional tools, this approach enables the creation of sophisticated 3D structures quickly. Although several uses have been investigated, there is a considerable research gap in the field of hybrid feedstock filament-based wear-resistant substances and frameworks development. In particular, this study explores the previously unexplored field of using a hybrid filament made of aluminum (Al2O3) powder and polyamide (Nylon 6) matrix. This study aims to explore the production capability of wear-resistant structures and materials by utilizing a hybrid feedstock filament in an innovative manner. The filament is made for FDM and consists of an aluminum powder and polyamide matrix. According to ASTM-D1238-73, the study is to ascertain the ideal ratios of filler, matrix. Through a detailed statistical study of wear findings, the procedure was established as an industry standard. To assess uniformity and monitor process parameters, modern statistical process control and quality improvement methodologies are employed. As critical indications in evaluating the feasibility and dependability of the created wear-resistant materials and FDM method, the findings comprise a histogram showing wear outcomes, an R-chart, and an X-chart for the achieved wear values. By leveraging FDM technology to produce wear-resistant materials that are both accessible and resilient, the complete approach seeks to set an industry standard.
A routing protocol for reconstructing applications in engineering using ioT and machine learning
Authors: Chetan Chaudhary  , Goyal Manish Kumar , Thangarasu Narmadha , Kumar Raj
Published: August 2024

In this paper, we present an upgradable “cross-layer routing protocol (CRLP) for cognitive radio (COR)-based Internet of Things (IoT)” networks to address challenges related to spectrum resource diversity, mobility, and road finding. Our proposed method utilizes feed-forward neural networks (FFNN) to optimize data transmission and enhance routing efficiency in a reconfigurable network. By incorporating FFNN techniques into the cross-layer design of COR-IoT, intelligent routing decisions are achieved, resulting in optimal path selection for actual data transmission. We evaluate the performance of FFNN-assisted CRLP in COR-IoT, considering metrics such as Network capacity, energy efficiency, and interference across various scenarios. The results demonstrate that our FFNN approach significantly improves the overall performance and reliability of data transmission in COR-IoT networks.
Evaluation of the environmental impact of concrete mixes involving industrial by products and recycled resources
Authors: Gautam Anupam Kumar , Shree Ritu , Prasad H. D. Raghavendra , Upadhyay Satish
Published: August 2024

About 80–85% of the amount of mortar often utilized by Indian authorities in their construction projects is made up of virgin aggregates from nature. These municipalities produce a significant quantity of garbage from building and tearing down (C&D), the most of which is disposed of in landfills. These novel formulations for concrete may be taken into consideration for applications requiring greater compression strengths, according to the testing findings. Cement integrating up to 100% waste material from C&D from aggregates was demonstrated to surpass the constrictive force necessary for the majority of structural purposes. Utilizing this new concrete for domestic flooring significantly decrease how much C&D waste there is that is dumped in landfill. Because of their greater compressive capacity, mixtures with 50% salvaged stones and 50% organic pebbles, and from ten percent to forty percent by-products as cement ingredients were found to have the greatest potential for reducing energy consumption and environmental impact. In addition to creating new job possibilities, recycling C&D wastes might significantly help the protection of natural resources, such as biodiversity and land. Additionally, by substituting various mixtures of recycled aggregate concrete for energy-intensive aggregates from nature, ranging from 90 to 280 GWh of energy might possibly be saved.
A framework for predicting stock prices based on a novel deep learning algorithm
Authors: Bagrecha Chaya , Goswami Sachin , Jain Manjula , Sengupta Pompi Das
Published: August 2024

Stock price forecasting has been a difficult and crucial undertaking in the financial markets. The complex prediction models have been developed as a result of the changing stock values, which are affected by a wide range of variables. The development of deep learning (DL) and improved processing power has made programmed techniques of prediction effective at forecasting stock prices. In this article, we proposed a Stochastic Gradient Descent Weighted Long Short Term Memory (SGD-LSTM) method and a complete framework is used for predicting stock prices, which gives a novel viewpoint on stock market forecasting. Our system is comprised of three main parts: data preparation, feature extraction, and model design. To provide the highest quality data for training and assessment, we apply cutting-edge methods for data cleaning, normalization, and feature selection. The stock price data’s are collected. Min-max normalization method is used for preprocessing the collected data. The presented study makes use of the relative strength index to extract features since the index is representative of a variety of investing strategies that are taken into consideration by both the buyers as well as the sellers. This technique is used for analyzing the financial markets. We compared our system against both conventional forecasting models and other deep learning techniques on a wide variety of historical stock datasets to determine its efficacy. The results of the comparison reveal that the suggested prediction model provides more accurate forecasts.
Enhancing product price prediction with mixed meta-heuristic algorithms for optimizing artificial intelligence models
Authors: Kumari Usha , Nallasivam Anitha , Gupta Rajesh , Jain Manjula
Published: August 2024

Predicting agricultural product prices is crucial for farmers, distributors and policymakers to make informed decisions. Existing AI models for agriculture product price prediction struggle to account for the numerous factors affecting prices, such as weather conditions, market demand and seasonal variations. Predicting the price of agricultural products is difficult because of the limited availability of historical and real-time data as well as the intricate interaction of multiple unidentified factors that influence price. In this paper, we propose an association rule-driven light gradient boosting machine (AR-LGBM) to predict the price of the product. The agricultural crop pricing dataset collected from Virudhunagar District, Tamilnadu, India, was significant. Min-max normalization is used to pre-process the data. Principal Component Analysis (PCA) was utilized to extract features, which reduces data dimensionality while maintaining crucial data. Intelligent Flower Pollination Optimization (IFPO) is used for choosing the relevant features from the extracted features to simulate the proposed method using python. To evaluate the performance of the proposed method in terms of precision (87%),  Mean Absolute Error (MAE) of 45.75, recall  of 86%, Root Mean Squared Error (RMSE) of 2.15, F1-score of 85%, R-squared of 14, accuracy of 85% and Mean Squared Error (MSE) 32.72. As a result, the outcomes show that the suggested strategy outperforms traditional approaches. This study demonstrates the effectiveness of the AR-LGBM model in enhancing agriculture product price prediction.
The nexus between technological dimensions, online education advantages, and family preferences: A study on online education experiences under the COVID-19 pandemic
Authors: Alhussam Mohamad Ali , Samanta Sasmita , Ray Arun Kumar , Alhussam Mohammed Ismail
Published: August 2024

Resources of human, as a nation's most invaluable asset, are profoundly influenced by education, serving as the primary catalyst for their development and preparation for a brighter future. This research is dedicated to investigating the influence of demographic variables on respondents' perspectives concerning the essential online education (OE) features and services at the primary and secondary school level. In addition to investigating the relationship between the advantages of OE and families' inclination to choose OE for their children, and technological aspects of OE and advantages of online. Particularly in the context of the recent surge in OE as a result of the COVID-19 pandemic. The research used survey methodologies and utilized both descriptive statistics, ANOVA, T-test, and structural equation modeling (SEM). The findings disclose that demographic variables do not have a significant impact on respondents' opinions regarding families' willingness to choose OE for their children, in the evaluation of advantages and flexibility of OE, and in the assessment of technological conditions of OE. Moreover, the results indicate a substantial influence of technological conditions on the advantages and flexibility of OE, also there is an impact of the advantages and flexibility of OE on families' willingness to choose this mode of education for their children.