bluuebunny/crossref_metadata_2025 huggingface dataset:
Citizen Engagement and Power Asymmetry in Class Divided Societies: Some Reflections on South Africa
Authors: Radebe Mandla J.
Published: October 2024

Various scholars valorise the role of citizen engagement as crucial for public sector communication in democratic societies. Not only is it argued that citizen involvement is vital but benefits such as the ability to solicit feedback and input are advanced. In emphasising the centrality of public sector organisations’ interaction with citizens, Piqueiras, Canel and Luoma‐aho (2020: 277) present citizen engagement as vital in “involving those who are served … for a thriving society”. Sanders and De Los Monteros (2020: 329) position the incorporation of principles of high‐reliability organisations into the public sector as crucial in fostering a “communication culture for the benefit of citizens”. Equally, the legitimacy of organisations has been located in their ability to respond to stakeholders’ demands (Luoma‐aho, Olkkonen & Canel, 2020). Again, at the heart of this disposition is the role of citizen engagement.
Machine Learning in Cybersecurity: A Comprehensive Analysis of Intrusion Detection Systems
Authors: Niravkumar Dhameliya
Published: October 2024

Cyber threats are getting more complex and larger, and traditional security measures can't keep up with the sophisticated attacks. Machine Learning (ML) has emerged as a powerful tool in enhancing cybersecurity, particularly in the development of Intrusion Detection Systems (IDS). a comprehensive analysis of the role of machine learning in intrusion detection, focusing on its ability to detect and respond to both known and unknown threats in real-time. various machine learning techniques, including supervised, unsupervised, and deep learning models, and evaluates their effectiveness in identifying anomalies and preventing security breaches. Key performance metrics such as accuracy, false positive rates, and scalability are analyzed, with a focus on the advantages and limitations of each approach. Additionally, the paper explores the challenges associated with implementing ML-based IDS, including data quality, adversarial attacks, and computational requirements. Through case studies and real-world examples, this paper highlights how machine learning is revolutionizing intrusion detection and presents insights into future advancements that will further strengthen cybersecurity defenses.
МЕТАФОРИЧЕСКОЕ ОСМЫСЛЕНИЕ КОНЦЕПТА «ДОГ» В ЧЕЧЕНСКОЙ ЯЗЫКОВОЙ КАРТИНЕ (на материале стихотворений)
Authors: Идразова Э.С.-А. , Мунгашева М.С.
Published: October 2024

Исследование метафоричных сочетаний с концептом «дог» в чеченском языке показало, что сердце в чеченском мировоззрении является хранилищем человеческих чувств и эмоций. Все человеческие переживания «проходят» через его сердце – это различные чувства и эмоции. Такие как: радость, веселье, печаль, горе, ревность, разочарование, тоска, волнение, восторг, гнев, злость, надежда, раскаяние, стыд, тревога и т.д. Однако следует отметить, что проведенный анализ позволяет утверждать, что несмотря на то, что сердце является контейнером различных человеческих чувств в большей степени сердце ассоциируется с «вместилищем любви». Это доказывает то, что основная часть, рассмотренных нами метафорических переносов, связана с любовными чувствами или их последствиями. Проведенное исследование также показывает, что сердцу приписывается способность чувствовать и действовать. Этому человеческому органу в чеченском сознании уделяется особое и значимое отношение. Это подтверждается тем, что наибольшее количество изученных приемов — это прием персонификация.
ЧЕЧЕНО-БАЦБИЙСКО-ИНГУШСКИЕ ЛЕКСИЧЕСКИЕ СООТВЕТСТВИЯ
Authors: Вагапов А.Д.
Published: October 2024

В статье рассматриваются чечено-бацбийско-ингушские лексические параллели на предмет их соответствия друг другу в фонетическом, морфологическом и словообразовательном отношениях. Автор ставит перед собой задачу проверить, насколько верны часто встречающиеся в «научных» статьях и многочисленных чатах заявления о том, что бацбийский язык – это немного измененный ингушский язык переселенцев из селения Эрзи или какого-то еще горного аула. Для этого автор анализирует работы видных лингвистов и историков Марра, Джавахишвили, Дешериева, и приводит их выводы по вопросу взаимоотношений внутри нахских языков. Путем сопоставления основного словарного фонда, фонетических и морфологических характеристик автор приходит к выводу о выделении бацбийского языка из пранахской основы раньше вайнахской ветви. Следовательно, утверждения о происхождении цова-тушинского языка от ингушского безосновательны. В вайнахских языках, в отличие от бацбийского, нет одной из характернейших для кавказских языков латеральной фонемы лъ. В бацбийском языке, как и в чеченском, нет специфически ингушской фонемы ф. В ингушском языке отсутствует форма только что прошедшего времени, наличная в цова-тушинском и чеченском языках. Словообразование в бацбийском языке по многим параметрам сближается с чеченским, а не с ингушским: суффиксоид -dan ~ инг. de, суф. -jla ~ инг. -lga, суф. -γar ~ инг. -ar и др.
HOMO BELLI: ЧЕЛОВЕК ВОЙНЫ В НОВЕЙШЕЙ ИСТОРИИ РОССИИ (к постановке проблемы)
Authors: Хубулова С.А.
Published: October 2024

В статье предпринята попытка сформировать дорожную карту важной темы – человек войны в условиях адаптации к реалиям военной и послевоенной жизни на протяжении про-должительного периода новейшей истории Северного-Кавказа. На основе анализа отло-жившейся литературы изучаются проблемы психологической перестройки мирного человека к условиям войны и обратный переход от войны к мирной жизни. Исследование выполнено в рамках военно-исторической антропологии и позволяет понять факторы жизнестойкости человека в экстремальной ситуации и трудности перехода человека воюющего к новым мир-ным реалиям.
PECULIARITIES OF INFORMATION AND ANALYTICAL SUPPORT IN DECISION-MAKING WITHIN GOVERNMENT BODIES
Authors:   State University of Trade and Economics, Koval Yana
Published: October 2024

The modern world is increasingly entering the era of an information society, where the role of information becomes ever more significant. Information is accumulating rapidly and in large volumes, so quickly that people struggle to process and thoroughly comprehend the incoming information flow, leading to an overall reduction in usable information. In order to process relevant data effectively in the context of professional or other activities today, it is no longer sufficient to rely solely on traditional administrative experience to make informed management decisions. It is essential to incorporate scientific knowledge, comprehensive awareness, analytical and forecasting skills, as well as socio-political responsibilities, with an appropriate recognition of these processes. This is particularly relevant for public administration bodies—both central and regional levels of executive state power—and increasingly for local government authorities, which are gaining more authority as part of the decentralization process. In Ukraine, in particular, the ideology and framework for interaction between the state and society are changing, with an increased use of decentralization mechanisms that delegate specific functions and powers from state bodies (to varying degrees) to the level of territorial communities and even to civil society. The purpose of this article is to define the peculiarities of information and analytical support in the decision-making process within government bodies. The article systematizes approaches to information and analytical support in public administration. It identifies the subjects and objects of the information and analytical support system in state management processes and specifies the goals of such support. It justifies the need to highlight the key elements of the information and analytical support system for public administration. The article also outlines the principles guiding information and analytical activities conducted by government and local authorities. Levels of information and analytical work are established, taking into account the temporal dimension. Furthermore, the article identifies issues with information and analytical support in government bodies in Ukraine and suggests ways to address these challenges.
INSATISFAÇÃO CORPORAL, COMPORTAMENTO SEDENTÁRIO, AULAS DE EDUCAÇÃO FÍSICA E ATIVIDADE FÍSICA EXTRAESCOLAR EM ADOLESCENTES BRASILEIROS
Authors: Santana Cleidison Machado , Sampaio Ricardo Aurélio Carvalho , Santos Jean de Souza dos , Simões Viviane de Andrade , Oliveira Barbara Liana Oliveira e , Costa Gabriel Santos da , Santana Elijane dos Anjos , Dias Rebeca Anunciação , Barbosa Adson Luis Santana , Menezes Larissa dos Santos , Martins Henry Lima , Alves Marília da Silva , Silva Roberto Jerônimo dos Santos
Published: October 2024

Este estudo teve como objetivo verificar a associação entre a insatisfação corporal e o comportamento sedentário, as aulas de Educação Física e atividade física extraclasse em adolescentes brasileiros. Trata-se de um estudo transversal, com dados secundários da Pesquisa Nacional de Saúde do Escolar - Brasil - 2019. A amostra foi composta por 124.898 adolescentes, entre 13 e 17 anos, de escolas públicas e privadas de todas as regiões do Brasil. Considerou-se como variável dependente a “insatisfação corporal” através da questão objetiva: “como você se sente em relação ao seu corpo?”. As informações que caracterizaram e compuseram as variáveis foram obtidas do banco de dados disponibilizado pelo Instituto Brasileiro de Geografia e Estatística. Os dados foram analisados através da estatística descritiva e da regressão logística binária, com nível de significância de 0,05. Todas as análises foram feitas com o software Jamovi® for Windows, versão 2.3. A insatisfação corporal esteve associada ao comportamento sedentário excessivo (OR = 1,58; IC95% = 1,54; 1,63), a ausência da aula de Educação Física (OR = 1,05; IC95% = 1,02; 1,09) e a ausência de atividade física extraclasse (OR = 1,38; IC95% = 1,34; 1,42). Conclui-se no estudo que há associação direta entre insatisfação corporal, comportamento sedentário excessivo, ausência da aula de Educação Física escolar e ausência de atividade física extraescolar em adolescestes brasileiros.
CANINO IMPACTADO, IMPLICAÇÕES CLÍNICAS PARA A TRAÇÃO ORTODÔNTICA OU A EXODONTIA: RELATO DE CASO
Authors: Deividy Estefani Nespolo  , Francismar Zamberlan Rausch  , Lucimara Cheles Da Silva Franzin
Published: October 2024

A prevalência de caninos superiores impactados é de 1 a 3%, e se o canino permanente não erupcionar em sua posição correta, é necessária a avaliação por um profissional para determinar o tratamento mais adequado. A cirurgia e o tratamento ortodôntico são usados para o tratamento de caninos impactados que afetam a dentição permanente. A seleção do tratamento mais adequado para alcançar a posição correta do dente canino depende de muitos fatores. O objetivo deste trabalho é relatar um caso de canino impactado na qual fizeram-se necessárias técnicas alternativas para que o paciente pudesse reaver a função e estética.
TRENDS OF CHANGES IN BUSINESS MANAGEMENT SYSTEMS IN RUSSIA IN THE XXI CENTURY
Authors:   Kazan National Research Technical University named after A. N. Tupolev – KAI, Kazan, Russia, Gabdullina Gulsina K. , Khusainova Svetlana V. ,   Kazan Federal University, Yelabuga Institute (branch), Yelabuga, Russia, Gallyamova Zemfira V. ,   Kazan Federal University, Yelabuga Institute (branch), Yelabuga, Russia, Galiyeva Amina Sh. ,   Zhejiang Pedagogical University, Zhejiang Province, Jinhua, China
Published: October 2024

The article deals with the causes of economic crises of the XXI century and analyses their consequences on the Russian management system. The study revealed that each crisis affects both negatively and positively the business management system. It became obvious that the Russian economy and industry are highly dependent on the US dollar exchange rate, as well as world prices for export goods, 90 per cent of which are raw materials and semi-raw materials.
RUSSIA’S TECHNOLOGICAL SOVEREIGNTY: THE ROLE OF EDUCATION IMPLEMENTATION
Authors:   ANO Higher School of Science and Technology, Nizhnekamsk, Russia, Gafiyatov Ilgiz Z. , Gabdullina Gulsina K. ,   Kazan National Research Technical University named after A. N. Tupolev – KAI, Kazan, Russia, Haidarov Ramis R. ,   Nizhnekamsk Institute of Chemical Technology (branch) of the Kazan National Research Technological University, Nizhnekamsk, Russia, Krasnova Elena L. ,   Naberezhnye Chelny State Pedagogical University, Naberezhnye Chelny, Russia, Boshkhudzhayev Madznun B. ,   Zhejiang Pedagogical University, Faculty of Computer Science and Technology, Zhejiang Province, Jinhua, China
Published: October 2024

Technological sovereignty, broadly defined as the ability of a state to create and utilise critical technologies, is becoming increasingly important for national security and economic well-being. Russia clearly recognises this need and is therefore embarking on the challenging path of achieving technological sovereignty. This article examines the special significance of training generations of specialists for this purpose. It explores the current state of the Russian education system and the apparent shortage of specialists in vital technological fields. In addition to engineering schools, additional skills in computer science, data analysis and project management are considered. This is followed by reform guidelines and policy recommendations for talent acquisition and retention, as well as the implementation of a discipline-specific continuing education ethic. The article concludes with the ultimate prerequisite for success – a multifaceted strategy based on technological sovereignty, underpinned by long-term educational reform that will ensure Russia’s path to technological sovereignty.
SOCIO-ECONOMIC STUDIES OF BUSINESS MANAGEMENT SYSTEMS
Authors:   Saint-Petersburg State University of Aerospace Instrumentation, St. Petersburg, Russia, Rudakova Lidiya V.
Published: October 2024

The article highlights and substantiates the role of socio-economic research of business management systems from the point of view of scientific validity. Three epistemological principles of applying the qualimetric approach, that is, alternating processing of qualitative, quantitative and financial information to build and test hypotheses, are analyzed and substantiated: the principle of contradictory intersubjectivity; the principle of cognitive interactivity; the principle of general unpredictability. The scientific novelty and practical significance of the work lies in the identification of research interventions in the management system of business structures, based on socio-economic research, which allow to deepen scientific knowledge about current and future realities through the creation of complex concepts, methods and tools for effective management of an entrepreneurial structure.
DATA PROTECTION IN THE DIGITAL AGE: ENSURING THE SECURITY OF STUDENTS’ PERSONAL DATA
Authors:   St. Petersburg State University of Economics, St. Petersburg, Russia, Kuligin Yuriy N.
Published: October 2024

Today, data exchange among students is uncontrolled, which leads to frequent cases of intrusion into confidential data. Against this background, the expert center of the All-Russian student project «Tvoi Khod» conducted a study to identify the level of knowledge of students on the topic “personal data protection”. The sample consisted of 3005 participants of the project platform. The survey data provided by the project managers were analyzed using descriptive statistics. The research may be of interest to organizations whose goal is to educate the student community.
A CONCEPTUAL MODEL FOR MANAGING INTERNATIONAL COOPERATION BETWEEN COMPANIES
Authors:   JSC «SVEL Group», Yekaterinburg, Russia, Mohamed Rajab , Khokholush Maria S. ,   Ural State University of Economics, Yekaterinburg, Russia, Guseva Tatyana I. ,   Ural State University of Economics, Yekaterinburg, Russia
Published: October 2024

The relevance of the study is due to the formation of new conditions of economic activity associated with the need to overcome barriers in the implementation of foreign economic relations. The purpose of the article is to substantiate the conceptual model of process management of international cooperation of companies and the application of these developments to substantiate the directions of international cooperation for the SVEL group of companies. The approbation of the developed conceptual model made it possible to identify priority areas of international cooperation for the SVEL group of companies, which consist in attracting new technologies and innovative solutions for the implementation of business processes and searching for the optimal model of adaptation to sanctions pressure from unfriendly states.
ANALYSIS OF THE IMPLEMENTATION OF BUSINESS PROCESSES OF CROSS-CUTTING CUSTOMS CONTROL OF IMPORTED GOODS IN TERMS OF DIGITAL TRACEABILITY
Authors:   Association for the Promotion of Foreign Economic Activity Participants, Moscow, Russia, Valiev Faridun N. ,   Russian Customs Academy, Lyubertsy, Russia
Published: October 2024

The paper presents the requirements for building business processes for cross-cutting customs control of imported goods, due to the need to use digital traceability tools in order to increase the effectiveness of customs control. The author, based on systematic, process- and risk-oriented approaches, using structural and functional modeling methods, presents an analysis of the implementation of existing business processes of cross-cutting customs control of imported goods, including in the context of using digital traceability tools, and identifies problems or weaknesses that reflect the inconsistency of business processes with established requirements for their the construction.
EVALUATION OF THE AGGREGATE OF TRANSFERABLE RESULTS OF INTELLECTUAL ACTIVITY OF KNOWLEDGE-INTENSIVE ORGANISATIONS CREATED DURING THE MODERN INNOVATIONS DEVELOPMENT
Authors:   ITMO National Research University, Saint Petersburg, Russia, Kirillov Nikolay N.
Published: October 2024

The article studies the role of intellectual property in the development of innovation economy and notes that modern results of innovation activity, as a rule, are complex high-tech products protected by a large number of protection documents both for the product as a whole and for its individual elements and manufacturing technologies. The author has determined that most scientific works on the evaluation of intangible assets value are devoted to the analysis of methods for assessing the value of individual types of intellectual property, and the existing publications do not include recommendations and description of approaches to the evaluation of the aggregate of transferable results of intellectual activity of knowledge-intensive organizations created during the development of modern innovations, due to their structural complexity. The author has developed and proposed a methodological framework for the valuation of a set of negotiable results of intellectual activity of knowledge-intensive organizations created in the development of modern innovations by the cost, income and comparative approaches in accordance with the requirements of the new federal valuation standards adopted in 2022.
SELECTING A COMPUTER NETWORK SIMULATOR FOR HIGHER EDUCATION
Authors:   Sochi State University, Sochi, Russia, Drach V. E. , Torkunova J. V. ,   Kazan State Power Engineering University, Kazan, Russia, Ilichev V. Y. ,   Kaluga Branch of Bauman Moscow State Technical University, Kaluga, Russia, Fedorov V. A. ,   Kaluga Branch of Bauman Moscow State Technical University, Kaluga, Russia
Published: October 2024

The work is devoted to evaluating pricing models for calculating the profitability of individual financial instruments, for example, such as stocks, using a multilayer generative-adversarial artificial neural network (GAN) and developing its own model based on the analysis. A huge amount of specially selected data is supplied to the inputs of the neural network, changing over time (dynamic). To improve the objectivity of the model, this work does not implement the arbitration capabilities of the markets. This is how one can analyze and explain variations and errors in pricing, as well as identify the key factors affecting asset prices. As the outcome, it was found out that the resulting asset pricing model exceeds all standard approaches for its assessment using the Sharpe ratio. It was shown that machine learning is an acceptable tool in term of investment forecasting, on the example of Russian Federation market.
SOFT-SKILLS’ FORMATION COMPETENCIES AMONG GRADUATES OF VARIOUS SCIENCES AT THE UNIVERSITY
Authors:   Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Kalinina Olga V. , Naumova Kristina V. ,   Saint-Petersburg State University of Aerospace Instrumentation, St. Petersburg, Russia, Korobovceva Anna A. ,   St. Petersburg State University of Industrial Technologies and Design, St. Petersburg, Russia
Published: October 2024

The scientific paper substantiates the necessity for the formation of soft-skills competencies among students of various fields of study. Examples of the implementation of disciplines in demand among students in the implementation of the educational process in order to create a profile of a competitive university graduate are considered.
CLASSIFICATION OF SOFTWARE DEFINED NETWORK TRAFFIC TO PROVIDE QUALITY OF SERVICE
Authors: MADHU M SAILAJA , S.BHUVANA  , SRI CH.RAMYA , VAIBHAVI B.GODHA
Published: October 2024

Accurate traffic classification is of fundamental importance to numerous network activities, from security monitoring to accounting, and from Quality of Service to providing operators with useful forecasts for long-term provisioning. The initial stage in analysing and classifying the various types of applications running via a network is network traffic classification. This method allows network operators or internet service providers to control the overall performance of a network. We apply machine learning models to categorize traffic by application. This can be done by extracting the features of the traffic. This classified data can be used to stop unnecessary traffic and allow only user required traffic. Basically we prioritize the network traffic based on the features extracted during the classification. Features related to OTT are identified and we try to restrict them in the network for reducing the traffic in the network for providing better quality of service. We intend to stop traffic from Overthe-top(OTT) platforms like Netflix, Prime Videos, etc. Hence, by this the quality of service can be improved for user required applications.
USING EXISTING CCTV NETWORK FOR CROWD MANAGEMENT, CRIME PREVENTION AND WORK MONITORING USING AIML
Authors: BORRA SUBBA REDDY , PRASANNA T.LAXMI , SRITHA T.LAXMI , FATIMA SHIREEN
Published: October 2024

The proliferation of Closed-Circuit Television (CCTV) networks in urban and industrial environments presents a valuable opportunity to enhance public safety, operational efficiency, and security. By leveraging Artificial Intelligence (AI) and Machine Learning (ML), these systems can evolve from traditional passive monitoring roles to offering proactive solutions in crowd management, crime prevention, and workplace monitoring. In terms of crowd management, AI and ML algorithms can analyze real-time video feeds to effectively detect and manage crowd dynamics. These technologies can identify patterns such as overcrowding and unusual congregation, enabling authorities to deploy resources swiftly. Predictive analytics can forecast potential crowd-related issues during large events, facilitating timely preemptive measures. Regarding crime prevention, integrating AI and ML with CCTV networks enhances capabilities by automating threat detection and alert systems. Algorithms can recognize suspicious behaviors like loitering and aggressive actions, triggering immediate alerts to security personnel. Additionally, facial recognition technology can identify known offenders or missing persons, while anomaly detection models can uncover unusual activities that suggest criminal intent. In industrial and office settings, AI-powered CCTV systems contribute significantly to work monitoring and safety compliance. These systems can oversee employee adherence to safety protocols, detect hazardous conditions, and ensure regulatory compliance. Moreover, AI can track productivity metrics and workflow efficiency, providing insights for operational improvements. However, despite these potential benefits, integrating AI and ML with existing CCTV networks comes with challenges. Key issues include privacy concerns, the necessity for substantial computational resources, and the need to ensure the accuracy and fairness of AI models. Addressing these challenges requires robust data governance frameworks, significant investments in infrastructure, and ongoing model validation to mitigate biases.
AUTOMATIC ASSESSMENT OF COMMUNICATION SKILL IN NON-CONVENTIONAL INTERVIEW SETTINGS: A COMPARATIVE STUDY
Authors: D.MAHITHA  , A.ASHWINI  , S.SANIA  , S.PALLAVI
Published: October 2024

This paper presents a comparative study of various technologies for predicting communication skills in interview candidates through non-conventional methods. The study explores three distinct modalities: video, audio, and essay-based assessments. For video analysis, facial expressions and eye movements are employed to gauge candidate confidence and confusion. In the audio domain, Mel-Frequency Cepstral Coefficients (MFCC) features are extracted from audio recordings and processed using deep learning algorithms to assess confidence levels. For essay-based evaluations, features extracted from textual content are fed into an XGBoost model to predict writing skills, with applicability to both written and verbal text. Existing technologies have achieved an accuracy range of 80-90% for essay-based predictions; however, our implementation of XGBoost has demonstrated improved performance with an accuracy between 95-96%. The results highlight the effectiveness of our approach in enhancing communication skill assessments through advanced machine learning and deep learning techniques, setting a new benchmark in the field.
From here to eternity: The rise and fall of global art worlds and the contemporary private museum
Authors: Walker Georgina S.
Published: October 2024

The process of converting a private collection into a public museum is often presented as a means of ensuring a collection’s future by transforming it into an enduring asset for future generations. This case study assesses contemporary collection models as well as entrepreneurial investor-collectors and their respective museum-building strategies by addressing two fundamental questions: (1) What is the role of the contemporary art collector and private museum and (2) How do their interactions with art markets challenge the established protocols and hierarchies of the global art network? It shall be argued that private collection museums often have a limited lifespan. Furthermore, the future of private collections and museums is often determined within the lifetimes of their creators. This can play out in one of four ways: first, collectors may offer artworks at high-profile auction houses; second, they may sell the art collection and close the museum or collector’s exhibition space; third, they may sell the museum or exhibition space. Alternatively, private collectors, along with their museums and art collections, can play an important role on the global stage. However, more rigorous planning is necessary for these collectors to distinguish themselves, expand the cultural landscape, and ensure their collections endure within or beyond their creators’ lifetime.
Business models transformation in the creative industries: Performing arts organizations in the post-COVID era
Authors: Cacciatore Silvia
Published: October 2024

Rapid changes in the business models (BMs) of cultural and creative industries (CCIs) have occurred recently, owing largely to the dynamics accelerated by the COVID-19 pandemic and technological evolution, which have resulted in a strong interconnection between social, cultural, and digital challenges. The present review highlights the main changes that the COVID-19 pandemic has brought to the BM of 12 Italian performing arts organizations using a mixed research methodology (qualitative and quantitative) carried out through semi-structured interviews, a strengths, weaknesses, opportunities, and threats analysis, and an analysis of the economic-financial data of the organizations involved. The paper presents the study’s main findings and contrasts them with some recent scientific research on BM, allowing for comparison and debate on significant issues developed (new technologies and social and environmental impact). The uniqueness of the approach employed in this review lies in recognizing these characteristics, particularly the challenges of sustainability, as critical in producing value for CCI.
Perbandingan Pemberian Sayur Daun Kelor, Sari Kacang Hijau, Sayur Daun Katuk dan Jus Kurma Terhadap Kelancaran Produksi ASI pada Ibu Nifas
Authors: Mariyani  , Sukmawati
Published: October 2024

Secara global, pemberian ASI dapat menyelamatkan kematian bayi lebih dari 820.000 anak setiap tahunnya serta mencegah penambahan kasus kanker payudara pada perempuan hingga 20.000 kasus per tahun. Bayi berusia kurang dari 6 bulan di Indonesia yang mendapatkan ASI eksklusif 52,5%. Dampak dari ibu yang tidak memberikan ASI dapat menyebabkan masalah kesehatan seperti penyakit infeksi, masalah gizi, berisiko mengalami alergi dan berisiko untuk mengalami penyakit kronis saat dewasa. Salah satu faktor yang mempengaruhi ASI adalah makanan. Makanan yang dapat meningkatkan produksi ASI yakni daun kelor, kacang hijau, dauk katuk dan jus kurma. Mengetahui perbandingan pemberian sayur daun kelor, sari kacang hijau, sayur daun katuk dan jus kurma terhadap kelancaran produksi ASI pada ibu nifas. Quasy eksperiment dengan rancangan pretest protest with design two eksperiment. Sampel dalam penelitian ini adalah seluruh ibu nifas di Puskesmas Babelan II Bekasi dan PMB Sri Haryanti Karawang pada bulan Mei-Juni 2024 sebanyak 60 orang, teknik pengambilan sampel adalah total sampling. Selisih rata-rata kelancaran produksi ASI dengan Sayur daun kelor (37,33), sari kacang hijau (22,67), sayur daun katuk (32,00) dan jus kurma (21,34). Tidak ada perbedaan yang signifikan rata-rata peningkatan kelancaran produksi ASI dengan pemberian sayur daun kelor, sari kacang hijau, sayur daun katuk dan jus kurma (p value > 0,05). Tidak ada perbedaan yang signifikan rata-rata peningkatan kelancaran produksi ASI dengan pemberian sayur daun kelor, sari kacang hijau, sayur daun katuk dan jus kurma. Diharapkan bidan melakukan penyuluhan tentang makanan yang dapat memperlancar produksi ASI guna mendukung ASI eksklusif.
On a many-sided matching problem with mixed preferences
Authors: Anholcer Marcin , Bartkowiak Maciej
Published: October 2024

Motivated by recent results on lexicographic and cyclic preferences, we present new sufficient conditions for the existence of stable matching in many-sided matching problems. Here, our focus shifted towards integrating the two-sided matching problem, characterized by reciprocal preferences, with the many-sided matching problem, which involves cyclic preferences. In particular, we show that one of the configurations presented recently by Zhang and Zhong for three-sided matching problems can be generalized to more dimensions. In our setting, the preferences are cyclic and, in the case of all but two pairs of consecutive sets of agents, also reciprocal, which generalizes the three-set setting of Zhang and Zhong. Our approach can be also applied to generalize the problems with any system of cyclic preferences for which the existence of a stable matching is guaranteed.
Enhancing energy use efficiency of wireless sensor networks using newly proposed fault tolerance multipath routing protocol (MRP-FT)
Authors: Kaur Gagandeep
Published: October 2024

The present study compared the newly proposed fault tolerance multipath routing protocol (MRP-FT) under the particle swarm optimization-based fault tolerant routing (PSO-FT) technique to the existing low-energy adaptive clustering hierarchy (LEACH) protocol applied in different combinations of inter-node numbers (N ) ranging from 100 to 300 nodes (N100−300) in wireless sensor networks (WSNs) with different area sizes (Xm × Ym) of 100–1000 m2 (WSN100−1000) to enhance energy efficiency and reliability of WSNs. The implementation of MRP-FT protocol significantly decreased the packet overhead by 36.0–69.5%, delay by 40.4–52.9%, and energy consumption by 35.9–52.9%, while increasing reliability by 97.0–104.1%, compared to the existing LEACH protocol. For instance, at N100−200, the LEACH simulated packet overhead increased from 76-89 packets at t = 500 s with an increase in WSN size from 100 to 1000. At N300 + WSN100, the packet overhead showed the highest decrease of ca. 69.5% with MRP-FT over the LEACH protocol. The implementation of the MRP-FT protocol reduced energy consumption by 35–123 J over the LEACH protocol.
Weak disposability in the non-parametric analysis of efficiency. An interval abatement factor
Authors: Maghbouli Mahnaz , Yekta Azam Pourhabib , Jablonsky Josef_
Published: October 2024

The prevalent economic principle of weak disposability has been the foundation for studies in environmental assessment using data envelopment analysis (DEA). Recently, a shift from classic free disposability to weak disposability has been observed as an emerging trend for treating undesirable factors in research. Weak disposability is perceived to have significant analytical power in measuring the efficiency of decision-making units (DMUs). With the aim of decreasing of undesirable outputs, a non-radial model grounded on a non-uniform augment factor is presented. The application of this proposed model anticipates a suitable quantity for the decreasing of undesirable outputs. Concurrently, the model ensures a corresponding and satiable amount for reduction in undesirable outputs. Numerical instances illuminate the practicality and robustness of the proposed model and demonstrate its superior performance over its original counterpart.
Regularization for electricity price forecasting
Authors: Uniejewski Bartosz
Published: October 2024

The most commonly used form of regularization typically involves defining the penalty function as a ℓ1 or ℓ2 norm. However, numerous alternative approaches remain untested in practical applications. In this study, we apply ten different penalty functions to predict electricity prices and evaluate their performance under two different model structures and in two distinct electricity markets. The study reveals that LQ and elastic net consistently produce more accurate forecasts compared to other regularization types. In particular, they were the only types of penalty functions that consistently produced more accurate forecasts than the most commonly used LASSO. Furthermore, the results suggest that cross-validation outperforms Bayesian information criteria for parameter optimization, and performs as well as models with ex-post parameter selection.
Decision-makers’ behavioral characteristics and multiple criteria decision aiding. Impact of decision-making style and experience on methods’ use, evaluation, and recommendation
Authors: Wachowicz Tomasz , Roszkowska Ewa , Filipowicz-Chomko Marzena
Published: October 2024

The study aims to identify relationships among selected behavioral characteristics of decision-makers (DMs), i.e., experience in making complex decisions, decision-making style, and ability to use various multiple criteria decision-aiding (MCDA) methods coherently, and their impact on the evaluation of the latter functionality and recommendations for future use. The relationships were verified using experimental data through a structural equation model (SEM) and cluster analysis for three MCDA methods, i.e., AHP, SMART, and TOPSIS. One of the strongest effects identified by SEM was observed between coherence in methods’ use and the DM’s opinion on their functionality. DM’s satisfaction and future willingness to use MCDA tools are related to the positive experience gained from using these tools in advance. Decision-making styles shape method selection, with TOPSIS favored by highly experienced DMs, SMART by highly rational, and AHP by those with low experience and a rational approach
Live Dimension Detection During Machining of Workpiece using Smart Detection Set up on General-Purpose Lathe
Authors: Sushil V Deshpande  , Ramkisan S Pawar  , Pushparaj S Warke
Published: October 2024

In a manufacturing setting, the profile dimensions of the workpiece are key quality factors. Various automatic inspection approaches currently assess dimensions based on characteristics and variables, tool paths as OK or Not OK in CNC, and online inspection methods for other machines after manufacturing. However, continuous on-machine profile dimensions and simultaneous manufacturing were left to focus. An intelligent recognition system based on a laser lines sensor using a smart profile dimension detection algorithm (SPDA) communicates real-time measurement information to the operator. It plots the current status of the Workpiece, mapping linear distance by accurate laser reflection of the exact mid-surface line of the workpiece as profile data of a symmetric shaft. It compares the length-diameter obtained from longitudinal and lateral sensors with the master data provided. The algorithm implements Python libraries for displaying panels and organizing workpieces. The standard image changes color from red to green as it is relevant to the status. The predetermined order of manufacturing parts and gradient descent optimization feature sets benchmarks to display the status of the workpiece. The real-time live measurement is facilitated with an error of less than 10%, i.e., 0.1 mm, saving manufacturing time by 30%. It also eliminates the inspection stage, and no reduced job rejection is found.
Analysis of Internet Financial Reporting: A Comparative Study on Industrial Sector Companies Listed on Indonesian and German Stock Exchange
Authors: Fadhilah Nurul Aini , Oliyan Fitra , Sriyunianti Fera , Heriyanto Randy
Published: October 2024

The purpose of this study was to analyze the differences in the quality of internet financial reporting in industrial sector companies listed on the Indonesia Stock Exchange and industrial sector companies listed on the German Stock Exchange. The method used to process data is quantitative method with sampling technique using purposive sampling method with a total sample of 132 companies with details of 43 industrial sector companies listed on the Indonesia Stock Exchange and 89 industrial sector companies listed on the German Stock Exchange. This study uses the IFR index to assess the quality of internet financial reporting. Data testing and analysis in this study uses descriptive analysis and Mann Whitney U test. The results showed that there were no differences in the quality of the content component between industrial sector companies listed on the Indonesia Stock Exchange and industrial sector companies listed on the German Stock Exchange. Other findings show that there are differences in the quality of the timeliness, technology and user support components between industrial sector companies listed on the Indonesia Stock Exchange and industrial sector companies listed on the German Stock Exchange.
Feasibility Study of Implementing Vapor Recovery Unit (VRU) To Control Evaporation in Fuel Storage Tanks
Authors: Pratama Ibnu Lukman , Andari Nabila
Published: October 2024

The PT X Fuel Terminal stores, stocks, and distributes fuel before it is delivered to end users. Fuel evaporation happens when Pertamax fuel is stored in storage tanks with vacant space when the liquid level drops. Product shrinkage (losses) from working loss is a frequent issue at the PT X gasoline terminal and is manageable with a vapor recovery unit. The entire working loss was determined to be 0.15% of the Pertamax throughput using information on working loss and investment in Vapor Recovery Unit equipment. With the implementation of the Vapor Recovery Unit, Pertamax losses can be controlled by 95%. The calculation results show that the recovery of Pertamax losses increases from IDR 4,755,933,859 to IDR 12,713,598,714 annually. Furthermore, the annual cost of the Vapor Recovery Unit is IDR 1,348,832,832, with an investment of IDR 6,975,719,896.61. The economic feasibility of its implementation was evaluated through investment profitability, the results showed a positive net present value of IDR 25,255,745,786.25, an IRR of 57%, a PI of 4.62, and a payback period of 2 years, 5 months, and 15 days.
ANALISIS KINERJA DINAS MATERIEL DAN SENJATA TNI ANGKATAN LAUT MELALUI PENDEKATAN BUDAYA ORGANISASI DAN KOMPETENSI YANG DIMODERASI AUTOMATIC ADJUSTMENT
Authors: Hermawan Aries , Suharjo Bambang , Kristiyono Kristiyono
Published: October 2024

The Indonesian Navy's weapons and electronics materials service has a very strategic function in the Indonesian Navy. one of its functions is to carry out planning and continuous evaluation of activities in the field of electronics and weapons including ammunition material, navigation, electronic instruments, drones, simulators, sensors, controls and weapons, sensors, controls and weapons. The type of research used in this research is qualitative. The location of this research is the Indonesian Navy's weapons and electronics materials service, Subdiharsewaco Disharkap Koarmada I, Subdiharsewaco Disharkap Koarmada II, Subdiharsewaco Disharkap Koarmada III, Disharsewaco Disharkap Kolinlamil, Subdisren Disharmat Kormar. The analysis tool used is NVIVO 12. The results of the research are that the planning and budget proposed by Dissenlekal are in accordance with Dissenlekal's needs, but with the automatic adjustment, planning cannot reach 100%. The organizational culture of the Indonesian Navy's weapons and electronics materiel service reflects a good, positive, supportive and inclusive work environment. The competency of personnel in this organization is very good, with in-depth knowledge and high skills. The performance of personnel in this organization is very good, with high quality and quantity of work, consistent punctuality, and strong occupational safety awareness and compliance. Organizational culture and competence influence organizational performance. The Indonesian Navy's weapons and electronics materials service has strong adaptability in dealing with budget changes resulting from the automatic adjustment program. The existence of automatic adjustments affects organizational performance but is not significant. With a good organizational culture and competence, good performance will result despite automatic adjustments.
Vasily I. Murashev: the star scale of his scientific discoveries
Authors: Kalinichenko Alexander L.
Published: October 2024

Introduction. This article is devoted to a major Russian scientist, Doctor of Technical Sciences, Professor V.I. Murashev, certain periods of his biography and scientific activity. Based on archival data and special technical literature, it is concluded that Professor Murashev has done a lot for the development of construction science, including the production and introduction of heat-resistant reinforced concrete structures into the metallurgical industry.

Researcher V.I. Murashev for the first time proposed a model for calculating the deformation of reinforced concrete elements with cracks, which made it possible to avoid mistakes in construction.

Aim. Conducting a study of the fruitful scientific activity of Professor V.I. Murashev in the field of reinforced concrete theory, clarifying the history of his creation of temperature-resistant reinforced concrete structures, supplementing the scientific biography of the scientist with new facts based on the study of newly discovered data.

Materials and methods. The author, having studied archival materials on an urgent topic, using retrospective, historical, tipological and comparative research methods, showed certain aspects of the scientific activity of Doctor of Technical Sciences, Professor V.I. Murashev, determining the degree of his active participation in the development of the theory of reinforced concrete, specifying the most significant achievements of the researcher in construction science.

Results. The article presents the first comprehensive study of the scientific activity of Professor V.I. Murashev in the field of concrete and reinforced concrete, analyzes the newly discovered biographical data of the scientist in the period 1904–1959.

Conclusions. The database of research sources has been expanded, new archival documents and materials have been introduced into scientific circulation, confirming the originality of the versatile personality of Professor V.I. Murashev, his outstanding achievements in construction science in the period 1929–1959.
Sauberer Zerspanprozess dank Schneestrahltechnologie
Authors: Schulz Doris
Published: October 2024

Die automatisierte Drehbearbeitung kostenintensiver, hochverschleißfester Werkstoffe ist eine Herausforderung. Kryogene Kühlung erhöht im Vergleich zu herkömmlichen Verfahren schneidstoffübergreifend die Wirtschaftlichkeit der Prozesse und die Bauteilqualität.
Doppel-Spindler in der Verzahnung
Authors: Lerch Manfred
Published: October 2024

Das Konzept des Doppel-Spindlers ist nicht neu. In der Verzahnungstechnik setzt ein Pionier aus Eislingen mit einer weltweit einzigartigen und bereits zum Patent angemeldeten Neuentwicklung allerdings neue Maßstäbe.
Kameraroboter für die automatisierte Qualitätssicherung
Authors: Trunk Tobias
Published: October 2024

Selbständig fahrende Traktoren, aufeinander abgestimmte Erntemaschinen, KI-Unterstützung bei dynamischen Arbeitssituationen rund um den Acker – die Zukunft der Landwirtschaft ist schon auf vielen Betrieben zum Arbeitsalltag geworden. Doch die Digitalisierung findet nicht nur auf dem Feld statt.
Der neue Entwurf der Richtlinie VDI 3783 Blatt 1/The new draft of the guideline VDI 3783 sheet 1
Authors: Schalau Bernd
Published: October 2024

Im November 2019 wurde der Entwurf der VDI-Richtlinie 3783 Blatt 1 „Ausbreitung von störungsbedingten Freisetzungen“ als Gründruck veröffentlicht. Neben den Einsprüchen zur Richtlinie in Bezug auf unklare Formulierungen wurden oft das Fehlen eines Referenzprogramms sowie die Abkehr vom etablierten Gauß-Wolken-Modell bemängelt. Im Rahmen der darauffolgenden Überarbeitung des Richtlinienentwurfs wurde ein Gauß-Wolken-Modell entwickelt, das mit einem geringen Rechenaufwand in einem begrenzten Anwendungsbereich mit dem Lagrange’schen Partikelmodell vergleichbare Berechnungsergebnisse liefert. Darüber hinaus wurden Empfehlungen zur praktischen Umsetzung von Szenarien in den neuen Richtlinienentwurf, der voraussichtlich im Oktober 2024 als Gründruck vorliegt, aufgenommen.
DIFFERENT VARIATIONS OF TOTAL PHYSICAL RESPONSE ACTIVITIES AND THEIR BENEFITS IN TEACHING LANGUAGE
Authors:   Chirchik State Pedagogical University, English teacher of the English language theory and practice department, Uzbekistan, qizi Mahmudova Zilola Shukhrat
Published: October 2024

Total Physical Response (TPR) is a dynamic language teaching method that combines physical movement with verbal input to enhance language acquisition. This article examines various TPR activities, such as commands, storytelling, role-playing, and games, which engage students physically while they learn. These activities accommodate diverse learning styles, benefiting kinesthetic learners who excel with movement. The article emphasizes TPR's effectiveness in improving vocabulary retention, listening skills, and engagement. By linking actions to the language being taught, TPR reduces anxiety, creating a more enjoyable and less intimidating learning environment. Variations like group commands and interactive storytelling offer flexibility for different age groups and proficiency levels, making TPR a versatile method. Additionally, TPR promotes natural language acquisition by mirroring how children learn their first language—through listening and physical response before speaking. The article concludes that incorporating diverse TPR activities accelerates learning and fosters a dynamic, inclusive classroom atmosphere.