bluuebunny/crossref_metadata_2025 huggingface dataset:
As funções da expressão “acho que” na dimensão epistêmica de um debate presidencial
Authors: Braga Paloma Bernardino , Cunha Gustavo Ximenes
Published: February 2025

Neste trabalho, analisamos os usos da expressão modalizadora epistêmica “acho que” em um debate eleitoral presidencial. Para isso, articulamos contribuições funcionalistas sobre a expressão “acho que” e estudos sobre os modalizadores e a dimensão epistêmica desenvolvidos no âmbito da Análise da Conversa etnometodológica. Conforme nossa hipótese, nos diferentes contextos em que “acho que” ocorre, o sentido básico da expressão enquanto mitigadora do grau de certeza do locutor em relação a dado conteúdo proposicional se particulariza, em função da posição sequencial da expressão, o que revela que a gramática é sensível ao contexto sequencial. O corpus analisado se constitui do primeiro debate das eleições para Presidente da República do Brasil de 2018. Na análise desse corpus, assumimos uma postura êmica, na medida em que privilegiamos o ponto de vista dos interactantes sobre o desenvolvimento da interação, ou seja, o modo como realizam as ações e reagem a elas. No debate, identificamos um total de catorze ocorrências da expressão “acho que”, as quais exercem diferentes funções, por permitirem ao locutor, dentre outras ações, tornar menos agressiva a abordagem de informações que pertencem ao território do interlocutor ou de terceiros; mitigar sua adesão a propostas de um adversário; amenizar seu grau de comprometimento com a informação que defende, ao reparar um turno anterior etc. A partir desses resultados, entendemos que, em todas as ocorrências da expressão, a preocupação do locutor por suavizar uma intrusão territorial o leva a diminuir ou a ceder ao interlocutor os diretos epistêmicos na abordagem de um tópico, o que tem como contraparte semântica a expressão de menor compromisso com o que diz. Porém, esse sentido bastante geral torna-se mais específico, em função das propriedades de cada turno em que a expressão ocorre e da posição que ocupa na sequência (primeira ou segunda parte de um par adjacente).
Exploration and practice of the path of joint construction of party building between universities and enterprises
Authors: Yi Haibo , Qu Tao , Huang Rui , Li Ningbo , Lin Weipeng , Huang Dan , Li Peidong , Deng Weiping
Published: February 2025

As a new driving force for the innovative development of vocational education, new quality productivity has clarified the main direction of vocational education in serving economic and social development and the main battlefield for cultivating high-quality technical and skilled talents. This article delves into the path and practice of university-enterprise party building collaboration in vocational colleges from the perspective of new productivity. By analyzing the current problems in the joint construction of party building between universities and enterprises in vocational education, exploring and constructing the basic principles, models, and effectiveness evaluation system of the joint construction of party building between universities and enterprises that are suitable for the development of new quality productivity, and forming a practical path, it will promote the deep cooperation between universities and enterprises, achieve the optimal allocation of educational resources, provide beneficial reference and lessons for vocational colleges and enterprises, and also provide strong support for promoting the development of new quality productivity.
The Covid-19 Pandemic and its Effects on Fintech in India: A Comprehensive Review
Authors: Rehmat Alfishan , Ahmad Ansari Prof. Saghir
Published: February 2025

This research paper aims to identify the challenges and opportunities of the COVID-19 pandemic on Indian Financial Technology. This study covers the areas of Indian Fintech, the impact of COVID-19 on fintech, and the challenges and opportunities of Indian fintech. The study used systematic literature review concept mapping to produce data from related studies conducted during the pandemic. A qualitative data analysis technique was practiced, and the data was collected from secondary sources such as annual reports of the World Health Organization (WHO), Financial Stability Board (FSB), Reserve Bank of India (RBI), and other sources. This review tries to shed light on the emerging literature and find the answers that can suggest a clear understanding of the challenges and opportunities faced by Indian Financial Technology during the COVID-19 pandemic. Findings include a positive effect of COVID-19 on Indian financial technology as more and more people shift from traditional financial services to digital financial services due to COVID-19. Prominent opportunities and challenges for the Indian fintech resulting from the impact of the COVID-19 pandemic, including increased use of fintech through online shopping platforms, payments, and loans; accelerated digitalization of financial services; slowed economic activity; arose various risks; and decreased debtors’ performance due to the impact of the pandemic. This systematic literature review helped the academic community to understand the impact of COVID-19 on the FinTech industry in India. Also, assist policymakers with the regulatory and policy changes needed to support the progress and resilience of the FinTech sector in the face of future disruptions. The literature will assist policymakers in planning post-COVID-19 economic recovery. This study helps industry practitioners to know consumer behavior shifts, technological advancements, and emerging market trends post-COVID-19.
Green hydrogen production by proton exchange membrane electrolysis: a sustainable approach
Authors: Ahmed Afaf
Published: February 2025

Extending worldwide request for sustainable energy can be attributed to two con-templations: the decrease of conventional energy sources and climate change. Proton exchange membrane (PEM) electrolysis generates green hydrogen, as attainable sub-stitute for clean and economical energy. In this study the 7,9 UN sustainable goals were applied for the proton exchange membrane (PEM) electrolysis, that split water to oxygen and hydrogen as clean fuel. The goals applied though out all the PEM electrolysis part, to ensure that the method of generating hydrogen through PEM is a sustainable approach for the future clean fuel, within its production with zero carbon emission and within its application in the fuel cells. Results approved that PEM electrolysis offers fast reaction times during load changes, excellent efficiency, and modular stability. It consumes less clean energy and runs at lower pressures and temperatures, which reduces system costs which were aligned with the goals 7. The Current developments in catalysts and membrane materials approved the durability and efficiency which represents UN goal No 9. for the sustainable industry innovative resources for our future cities.
Predictive modeling of complex mathematical functions using neural networks
Authors: Mahmood Hussien Nadia , Thamer Naser Tuaimah Aysar , Makki Mohialden Yasmin
Published: February 2025

This research examines artificial neural networks' flexibility to forecast complicated computational processes. We created false data from the continuous field of polynomial, exponential, logarithmic, and trigonometric functions. Splitting all function training and testing sets created homogenous neural network models. MSE was compared to test data to evaluate models. Neural networks predict sine-cosine, exponential of sine, and cubic transformation functions accurately. Neural networks may capture complex operational relationships, as shown by an ordered comparison results table. This study shows that neural networks can solve mathematical modelling problems in automated forecasting.
Optimal control for two wheeled self-balancing robot based on butterfly optimization algorithm
Authors: Hadi Salih Elias Ghaidaa
Published: February 2025

This paper examined the two-wheeled self-balancing robot mathematical model. A Linear Quadratic Regulator (LQR) controller was then successfully used by the author for this system. The trial and error method and two optimization algorithms, particle swarm optimization (PSO) and butterfly optimization algorithm (BOA), are suggested for tuning the LQR controller parameters. The comparison between the three LQR controller tuning techniques is performed to select the best one. With the help of the Python program, the performance of the control strategy is investigated and shown with regard to the tilt and heading angles. Controlling outcomes were tested through a simulation, and it was proved that the LQR control system based on the BOA succeeded in finding a better response in tracking tilt and heading angles with enhancement percentages of 61.111% and 78.348% than the LQR response based on PSO and the trial and error techniques, respectively.
Novel system design model for an IoT-based real-time oil and gas pipeline leakage monitoring system
Authors: O. Effiom Samuel , A. Fischer Gertrude , J. Akpama Eko
Published: February 2025

Real-time monitoring of oil and gas pipelines is critical for mitigating the environmental risks posed by leakages. This study presents a novel design model of a real-time Internet of Things (IoT)-based pipeline leakage monitoring system that demonstrates superior detection accuracy, reduced false positives, and operational scalability. The system utilizes pressure and temperature sensors strategically placed along the pipeline to detect anomalies indicative of leakages. By leveraging a hybrid cloud architecture, smart sensors, and machine learning for anomaly detection, the system processes pipeline data in real-time. This data is transmitted in real-time to a central server for analysis, allowing for rapid response to potential hazards. The novelty of this system lies in its hybrid cloud-architecture and the integration of advanced anomaly detection algorithms, which improve accuracy and reduce false alarms. Data from a simulated pipeline setup is analyzed to assess the system's performance, showing a detection accuracy of 94% for simulated leakages. The implications of this study contribute to the knowledge of sustainable operations in the oil and gas sector and provide a scalable framework for future developments.
Studies on Eco-friendly stickers
Authors: Krishna R.Hema
Published: February 2025

Beyond expediting the checkout process, the labels carry significant information about the fruit’s journey from farm to table. While applicable to vegetables, herbs, and nuts as well, fruits predominantly bear these labels, offering valuable insights into their cultivation methods. Each sticker contains the PLU (Price Look-Up) number, but that’s not all. Produce stickers are full of information about the fruit and veggies you purchase at the supermarket. The objective of this paper is to provide a comprehensive overview of the existing situation and to study the Eco-friendly labeling of fresh fruits and vegetables.
Comprehensive study and investigation of ROS for computer vision applications using Raspberry Pi
Authors: Patoliya Jignesh , Mewada Hiren
Published: February 2025

The machine in the form of the robots has a very large community which makes impressive progress in recent trends. Progressive examples of these types of robots are land based mobile robots, quadcopters, humanoid, etc. Motion tracking and object recognition is the base process in major robotic applications. For better flexibility and integration of robots with video processing applications, the ROS framework is largely used. The major issue with ROS is its latency and integrity. This paper investigates the integration of the ROS framework with OpenCV libraries on the Raspberry PI processor for video processing applications. In the proposed experiment setup, a camera node interfaced with the raspberry PI captures images and publishes it in ROS message form on a specific topic. The subscriber node converts ROS message into an image using cvbridge. Converted image is processed again using OpenCV library on the raspberry Pi board. The extracted information can be used to actuate peripheral devices interfaced with the raspberry Pi. An investigation of the raspberry Pi based implementation reveals that ROS introduces 0.63% overhead and optimum implementation on raspberry Pi can avoid the high configured computer and raspbeery Pi can process the video at 13 frames per second at most.
The utilization of concrete sludge of batching plant (CSBP) as a partial cement replacement in concrete
Authors: Muizzah Nawi Nur , Asmani Mat Yusof Doris , Shahidah Sharipudin Siti , Farina Mohd Halim Nora , Mayuze Mohamad Nor , Zakuan Shafie Mohammad
Published: February 2025

Key players of construction industries prefer to use ready-mix concrete as one of the supplied materials for their projects. In conjunction with this, production of fresh concrete from batching plants is increasing consistently as the development of construction industries. Un-fortunately, more than 8 tons of fresh concrete waste can be obtained and return to the batching plants. In addition, most of the batching plants dispose the concrete waste on the ground or discharging them at the landfill. Thus, this research aims in correlating the strength response to the contribution of Concrete Sludge of Batching Plant (CSBP) as recycled materials and additives in the manufacturing of concrete. In this study, two different replacement levels in percentage of CSBP which are 10% and 20% to cement weight were adopted. The compressive strength of concrete specimens was performed in accordance with the BS EN 12390: 2009. The result revealed that the compressive strength of the CSBP concrete with 20% cement replacement is observed to gain the strength comparable than those of control sample by the value of 41.6 N/mm2 while the control sample achieved 42.6 N/mm2 at 28 days of age. It can be said that CSBP can be used as the potential of recycled material in the conventional concrete to support the green and sustainable approach in construction industries and to solve the issues of overloaded concrete sludge produce by batching plant.Â
Evaluating The Visibility of Building Syrian Refugee Shelters by 3D Printing Technology in Jordan
Authors: Akeila Mohanad , Kuok King Kuok Kelvin , H. Matthew Wong N.
Published: February 2025

Syrian Refugees in Jordan are placed all over the country. Low income refugees are placed in Jordanian camps that miss the basic living standards such as water, electricity, and stable sheltering system. The weakness of refugee camps come in association to the short execution period of construction. New technologies such as 3D printing are emerging with potential to provide better sheltering solutions; however, these technologies are not yet properly explored for providing sustainable shelters to Syrian refugees in Jordan and therefore, this paper developed to evaluate the efficiency of 3D printing technology in comparison to transitional shelters that is commonly used over Jordanian camp, through developing a 3D printable shelter model that assist in studying the cost, the technical specification, and delivery time of shelter printed by the technology. After the comparison, it was found that the 3D printed shelter achieved lower construction cost, higher durability, and can be executed within the same period of transitional shelters.Â Â
Predicting cyber hacking breaches using machine learning: a proactive approach to cyber security
Authors: Manisha B. Thombare Ms. , Sunil T. Datir Mr.
Published: February 2025

Cyber security breaches pose significant threats to organizations and individuals, necessitating proactive measures for prediction and prevention. This paper proposes a novel approach for Cyber Hacking Breaches Prediction using Machine Learning (CHBPM), leveraging state of-the-art techniques to anticipate and mitigate potential breaches. Building upon previous research, we integrate machine learning algorithms, specifically Support Vector Machine (SVM) and Random Forest (RF), into a robust framework for real-time monitoring and analysis of website security. The system is trained on historical attack data, adaptively learning from successful and unsuccessful attempts to breach security protocols. Our methodology encompasses ensemble classification methods, including Random Forest, for efficient classification of network traffic data, thereby facilitating the identification of anomalous behaviour indicative of potential cyber threats. Through experimental analysis and evaluation owe demonstrate the efficacy of the proposed CHBPM in predicting cyber hacking breaches with improved accuracy and proactive response capabilities. This research contributes to the advancement of cyber security measures by providing a comprehensive framework for predicting and mitigating cyber threats using machine learning techniques, thereby safeguarding digital assets and enhancing resilience in an increasingly interconnected world. Real-time detection mechanisms are devised, employing the best-performing models to continuously monitor network traffic and issue alerts when suspicious activity or potential breaches are identified. The paper explores ensemble methods, such as Random Forest, to fortify detection accuracy and delves into deep learning techniques, including Neural Networks, to unearth intricate patterns within network data. Interpretability and visualization techniques aid security analysts in comprehending the models’ decision-making processes. A feedback loop ensures on-going system refinement, adapting to emerging threats and incorporating real-world feedback. Ethical considerations guide responsible data handling and model deployment, upholding privacy and consent standards. By project completion, ”Cyber Hacking Breaches Prediction and Detection using Machine Learning” aims to equip organizations and individuals with an adaptive, real-time defence against cyber-attacks. It aspires to render network breaches an increasingly formidable challenge, reinforcing our collective cyber security posture amidst a dynamic threat landscape.
A study article on the use of digital twin in the packaging industry
Authors: Deshpande Manisha , Deshpande Sameer
Published: February 2025

After the COVID pandemic, the packaging requirements have ever growing due to the safety and security of the inside product. The total market value of packaging materials at a global level was nearly 896 billion U.S. dollars in 2022. It is forecast that this global market value will increase upto approximately 1.15 trillion U.S. dollars by 2030.1 In Industry 4.0; the workforce, machines, and processes are linked through digital networks.2 Data and Digital twin control production processes have emerged as a powerful tool. The digital twin has multiple advantages in the packaging sector, from cost and time savings to sustainable packaging development.
O empresário é mal educado?
Authors: Candido Vinícius Oliveira , Hupalo Leandro
Published: February 2025

Este artigo investiga a formação e escolarização dos empresários da Região Serrana de Santa Catarina, com o objetivo de entender como a educação recebida pode contribuir para a resolução de problemas ao longo de suas trajetórias empresariais. O estudo analisa o perfil do empreendedor, considerando aspectos como o contexto social, o ambiente político e a formação acadêmica. Utilizando o Programa Brasil Mais do Sebrae, avaliamos o desempenho financeiro de 12 empresas na região ao longo de um período de 10 meses, com base nas respostas a um questionário preenchido pelos empreendedores. Os resultados revelam um panorama positivo em relação à educação dos empresários e à economia catarinense, indicando que muitos possuem formação superior ou cursos de capacitação. No entanto, o ambiente empreendedor brasileiro ainda enfrenta desafios significativos, como questões regulatórias complexas, acesso limitado a financiamento e a necessidade de uma infraestrutura adequada. Este estudo destaca a importância de enfrentar esses obstáculos para promover um ambiente mais favorável ao empreendedorismo no Brasil, visando não apenas o fortalecimento das empresas, mas também o desenvolvimento econômico sustentável da região.
Mapeamento do Fluxo de Valor (MFV) aplicado à operação logística de uma distribuidora do Agreste Pernambucano
Authors: Coelho Letícia Lucena , Gonçalves Anderson Tiago Peixoto
Published: February 2025

As empresas têm utilizado o Mapeamento do Fluxo de Valor - MFV com o principal objetivo de melhorar processos e reduzir desperdícios, o que pode resultar em melhorias no seu desempenho e, consequentemente, em uma maior competitividade em relação aos seus concorrentes. Desta forma, o presente estudo teve como objetivo identificar as oportunidades de melhorias na Logística de uma empresa distribuidora localizada no município de Caruaru, por meio da aplicação do MFV. Para alcançar o referido objetivo, foi necessário definir a família de produtos a ser mapeada; elaborar o mapa de fluxo de valor no estado atual da família de produtos selecionada, que foi o processo de separação e expedição de produtos; e construir o mapa de fluxo de valor no estado futuro deste processo. Trata-se de uma pesquisa classificada como aplicada, qualitativa, descritiva e exploratória, que assumiu o formato de estudo de caso, a qual utilizou como instrumento de coleta de dados um roteiro de entrevista semiestruturada, com 10 perguntas abertas, que foi aplicado com o gerente de operações logísticas da empresa. Também foi utilizada na coleta de dados a observação não-participante, subsidiada pela aplicação de um breve checklist. Dentre os resultados obtidos, destacam-se a redução percentual de alguns índices da empresa, como tempo de espera (-20%), tempo de agregação de valor (-16,65%) e lead time (-20%), bem como a redução de desperdícios oriundos de movimentações desnecessárias e o aumento da capacidade produtiva em 11,11%.
Análise de diferentes setpoints e seu impacto na auto-sintonia em um controlador PID usando um CLP Siemens Simatic S7-1500
Authors: Souza Jeanne Jacqueline de , Massagrande Julio Cesar Silva , Rosa Junior Orlando
Published: February 2025

Este estudo analisou e comparou a diferença nos resultados do autotune de um controle Proporcional Integral Derivativo (PID), com base em diferentes setpoints. Usou-se o Controlador lógico programável (CLP) do modelo SIMATIC S7-1500 e comparou-se o tempo de acomodação do sistema em diferentes velocidades. Nesse intuito, foi avaliado o uso da ferramenta de programação TIA Portal. Também foi avaliado o módulo de acesso, as conexões, a configuração e a otimização do controlador PID. O objetivo foi estudar o processo industrial de uma esteira para que faça movimentos e aceleração e redução de velocidade. Assim, o controle PID poderia otimizar o transporte de peças. Para o desenvolvimento e testes, foi usado um kit didático com uma esteira movida por motor de passo, no qual a velocidade é monitorada por um encoder incremental de 600 pulsos por revolução (PPR). Fez-se testes de sintonia para 25%, 50%, 75%, 90% e 100%. Excetuando o último teste, nos demais foi possível realizar o processo de sintonia automática e o sistema se comportou com um overshoot de menos de 5% em todos os casos. Percebeu-se que o sistema, mesmo que atuando de forma didática, atendeu as expectativas e permitiu o uso do recurso de sintonia automática.
A METHOD FOR INTEGRATING FIELD DEVICES INTO OPEN AND ISOLATED CONTROL SYSTEMS BASED ON THE DYNAMIC MAPPING OF EDD DESCRIPTION ON OPC UA
Authors:   South Ural State University, Chelyabinsk, Russia, Kolodii Sergey V. , Kurkin Dmitry V. ,   LLC “Distributed Remote Monitoring Systems”, Chelyabinsk, Russia, Monakhov Maxim A. ,   LLC “Distributed Remote Monitoring Systems”, Chelyabinsk, Russia, Gaifulin Roman M. ,   LLC “Distributed Remote Monitoring Systems”, Chelyabinsk, Russia
Published: February 2025

Field devices with industrial protocols such as HART are widely used in manufacturing and automation systems. EDDL (Electronic Device Description Language) is used to integrate field devices into such systems. EDLL is a universal language for describing the properties of field devices defined by IEC 61804 international standard. Many automation systems exploit the OPC UA (Open Platform Communications Unified Architecture) technology. OPC UA provides universal access to device-specific information using a standardized information model. To this end, a relevant task is to convert the description of a field device developed using the EDDL language into the OPC UA information model. Aim. The paper aims to describe a method for the dynamic mapping of the description of EDDL-based field devices into the OPC UA information model and to show its advantages over other known methods. Materials and methods. It proposes to use an approach to converting the description of a field device in the EDDL language, which includes compiling EDDL methods into the byte code of a virtual machine and an intermediate information model and further mapping the intermediate model to the OPC UA information model described in FDI (Field Device Integration) specifications. Results. The paper presents the results of testing a prototype implementing a dynamic mapping method on the Linux and Windows operating systems, as well as its capabilities for configuring Rosemount-3051 pressure transmitters. Conclusion. It demonstrates the prospects for using this method in commercial products and devices.
ОБ ОДНОМ АЛГОРИТМЕ АДАПТИВНОГО УПРАВЛЕНИЯ ПРОЦЕССОМ ТОКАРНОЙ ОБРАБОТКИ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
Authors:   Perm National Research Polytechnic University, Perm, Russia, Pashchenko М.М. , Oniskiv V.D. ,   Perm National Research Polytechnic University, Perm, Russia, Stolbov V.Yu. ,   Perm National Research Polytechnic University, Perm, Russia
Published: February 2025

Increasing the efficiency of turning processes on CNC machines requires the development of special mathematical and information support for the implementation of adaptive control. It is proposed to use neural network approximators as models of the cutting process, constructed on the basis of experimental data obtained on a specific CNC machine during the processing of a specific material using a fixed tool. The purpose of the study: to study the issues of applying artificial intelligence methods for adaptive control of the turning process based on the obtained data on tool vibration. Materials and methods. An algorithm for solving the problem of optimal adaptive control is proposed, which ensures maximum productivity of a CNC machine in automatic mode. To organize feedback in adaptive control of the cutting process, sensor data on vibration acceleration of the cutting tool are continuously taken and processed. An estimate of the specific energy of the signal is calculated for a given time interval and a connection is established between it and the roughness of the workpiece surface. For this, a trained neural network is used, predicting the roughness value for given cutting modes based on the signal energy value about vibration. Results. The problem statement of adaptive control of the turning cutting process taking into account tool wear is proposed. An algorithm for intelligent processing of data on tool vibration acceleration during cutting is developed and a neural network is built that establishes a connection between the vibration level and surface roughness. An effective algorithm for solving the problem of optimal adaptive control is proposed. It allows real-time selection of cutting modes that ensure maximum cutting process productivity while meeting surface roughness constraints. Conclusion. The studied algorithms and models were tested on real data, which confirms the possibility of their use in the development of an intelligent information system for adaptive control of the turning process.
MODERN METHODS OF COLLECTING AND ANALYZING EMPLOYERS REQUIREMENTS FOR TRAINING IT WORKERS
Authors:   Perm National Research Polytechnic University, Berezniki Branch, Berezniki, Russia, Zatonskiy A.V. , Shakleina P.A. ,   LLC “QUASAR”, Berezniki, Russia, Krasovskiy R.V. ,   Perm National Research Polytechnic University, Perm, Russia
Published: February 2025

The development of the digital economy requires highly qualified IT specialists capable of meeting the growing demands of the market. Despite the significant increase in demand for IT professionals, the education system often fails to meet employers' expectations. The shortage of skilled personnel and the mismatch between graduates' competencies and market needs are key problems, which necessitate the development of new approaches to educational programs. Aim. The main objective of the research is to develop a concept for managing IT specialist training that takes into account modern employer requirements. This will optimize educational programs and improve the alignment of graduates' skills with current labor market demands. Materials and methods. To achieve the research objectives, machine learning methods and big data analysis were employed, along with vacancy monitoring from major online job platforms. Data on employer requirements were collected and systematized, and then compared with professional and educational standards. Natural Language Processing (NLP) technologies played a key role in the automated analysis of job vacancy texts. Results. The study resulted in the development of a concept for gathering and processing employer requirements to optimize IT specialist educational programs. A monitoring and analysis system for open data was created, allowing for regular updates to educational programs in line with labor market changes. The implementation of this system helps reduce the gap between graduates' professional competencies and employers' needs. Conclusion. The research results confirm that a systematic approach to managing IT specialist training, using employer requirements data, improves the quality of educational programs and increases graduates' competitiveness. This approach will help the education system more effectively adapt to the challenges of the digital economy, providing the labor market with in-demand specialists.
ANALYZING APPROACHES, METHODS, AND TECHNOLOGIES FOR IMPROVING THE EFFICIENCY OF INDUSTRIAL ENTERPRISES PRODUCING AND USING BIMETAL SHEET MATERIALS
Authors:   South Ural State University, Chelyabinsk, Russia, Kostyleva L.Yu. , Loginovskiy O.V. ,   South Ural State University, Chelyabinsk, Russia
Published: February 2025

The problems of increasing the efficiency of work of industrial enterprises and organisations have become more and more important in recent years. The necessity of solving such a problem becomes real both for industrial enterprises and organisations as a whole, and for enterprises connected with production and operation of technological equipment made of bimetallic sheet materials. Aim. Taking into account a large number of researches and developments aimed at increasing the efficiency of functioning of industrial enterprises, the authors of this article aim to present the most significant and successful studies devoted to solving these problems. Materials and methods. The analysis of management approaches, means, technologies and mechanisms for improving the efficiency of industrial enterprises engaged in the production of products and operation of structures from bimetallic sheet materials is based on a significant amount of scientific materials presented in scientific and technical literature. Results. A set of the most significant measures for improving the work of industrial enterprises and organisations is presented, and emphasis is placed on those proposals that will achieve the most significant results for enterprises producing and using bimetallic sheet materials. Conclusion. The article shows that the increase of efficiency of industrial enterprises functioning, which activity is connected with the production or use of products and constructions from multilayer bimetallic materials, should be carried out on the basis of actual approaches, means and mechanisms, including the creation of methods and algorithms of preparation and decision-making by mana¬gers of enterprises in the main direction of their activities, the development of modern information mana¬gement systems, as well as the development of new, promising solutions for the development of new technologies and technologies in the field of bimetallic materials.
ANALYSIS OF THE EFFICIENCY OF REGIONAL INNOVATION PROJECTS
Authors:   South Ural State University, Chelyabinsk, Russia, Gelrud Ya.D. , Cui J. ,   Project and Investment Promotion Center, China (Heilongjiang) Pilot Free Trade Zone, Heihe, China, Zakharov V.V. ,   South Ural State University, Chelyabinsk, Russia, Razumov V.G. ,   South Ural State University, Chelyabinsk, Russia
Published: February 2025

The purpose of the study. The purpose of the article is to analyze the role of innovative investments in the qualitative development of regions. At the same time, the problems of the complex influence of environmental, social, economic and scientific-technical factors on regional innovative projects should be disclosed, and direct and indirect costs of project management associated with these factors should be studied. The subject is management relations that arise during innovative design in the regional management system. Materials and methods. The methodological basis of the work is the use of system analysis, statistical analysis methods, mathematical modeling. The article reveals the content of the effect of a regional innovative project. The traditional model for assessing a regional innovative project is consi-dered, and the disadvantages of the model are highlighted. The work also discloses the UNIDO standard. It is noted that in order to assess the effectiveness of a regional innovative project, it is necessary to analyze the role and state of the entity, the economic state of the region and directly the social and environmental consequences that are expected when implementing the project. The assessment of capital-forming investment projects is also considered. Results. The result of the work is an economic and mathematical model for assessing and selecting a regional innovative project, taking into account economic, social and environmental factors. To solve this multi-criteria problem with contradictory criteria, various methods and algorithms of multi-criteria optimization are considered, including the method of convolution of criteria, obtaining one, sometimes quite complex formula, methods for obtaining a Pareto-optimal solution, the Saaty hierarchy method. Quite significant shortcomings inherent in these methods are noted. The most effective method for this model is the method of successive concessions. The scope of application of the results is a comprehensive assessment of the innovation project in order to select the most effective option that fully takes into account the main aspects of the region's life (economic, social and environmental). Conclusion. The use of the complex multi-criteria economic and mathematical model for choosing a regional innovation project given in the article, taking into account economic, social and environmental factors, will increase the level of adequacy of decisions made by regional authorities in terms of choosing effective projects.
A Galerkin Approach to the Generalized Karush–Kuhn–Tucker Conditions for the Solution of an Elliptic Distributed Optimal Control Problem with Pointwise State and Control Constraints
Authors: Brenner Susanne C. , Sung Li-Yeng
Published: February 2025

We develop a convergence analysis for the simplest finite element method for a model linear-quadratic elliptic distributed optimal control problem with pointwise control and state constraints under minimal assumptions on the constraint functions.
We then derive the generalized Karush–Kuhn–Tucker conditions for the solution of the optimal control problem from the convergence results of the finite element method and the Karush–Kuhn–Tucker conditions for the solutions of the discrete problems.
Some notes on the role of modal particles in weil+V2-clauses in German
Authors: Hinterhölzl Roland
Published: February 2025

This paper discusses the complex interaction between modal particles, verb position and interpretation of causal clauses in German.
Improving delivery capacity of soy 7S protein via high pressure homogenization: in the case of vitamin D3
Authors: Chen Zhengsong , Zhong Wenjing , Xia Jie , Zhu Jianhua
Published: February 2025

In this work, high pressure homogenization treated soy 7S protein (HPH–7S) was employed as carrier to load and delivery VD3. The encapsulation efficiency (EE) (97.88 %) and bio-accessibility (85.69 %) of VD3 was markedly improved by HPH-7S as compared with that of untreated 7S protein (92.63 %, 73.36 %), while the particle size (80.1 nm) was prominently smaller than that encapsulated by untreated 7S protein (243.3 nm). The photochemical and thermal stability of VD3 in VD3@HPH-7S nanoparticles (VD3@HPH-7S-NPs) was superior to that of VD3 protected by 7S protein. The enhancement of delivery capacity of HPH-7S may be due to the change in protein structure. i.e. the peptide chains of the proteins unfolded during homogenization treatment, exposing more hydrophobic groups and rearranging the tertiary structure, which was verified by Fourier transform infrared, endogenous fluorescence spectrum and surface hydrophobicity.
The adoption of industry 4.0 in the automotive industry: integration of collaborative robot systems in the injection moulding of deformable linear objects
Authors: Alves Filipe , Santos Adriano A. , da Silva António Ferreira , Pereira Filipe , Felgueiras Carlos , Silva Paulo , Machado José
Published: February 2025

The integration of robotic systems plays a significant role in situations where increasing productivity by reducing delivery times is a major challenge for many companies, especially those whose suppliers are negotiating shorter and shorter delivery times. This study describes a process analysis of the integration of a collaborative system into a flexible component injection system for the automotive industry. The article follows a case study research and analysis methodology, so during its development, different phases of the process were addressed, which involved defining, analysing and improving the approach, with an emphasis on the critical aspects that are key to improving the production process. The results showed how a careful study can be useful for improving production processes on a production line. These results are interesting because they made it possible to identify the most economical combination that resulted in an increase in production and quality with a reduced investment. Like all productivity improvement analyses, this can be extrapolated to any other production process, especially if collaborative systems are integrated.
Clinical and laboratory characteristics of propionic acidemia in a Turkish cohort
Authors: Akar Halil Tuna , Kahraman Ayça Burcu , Yıldız Yılmaz , Baran Berat , Çıkı Kısmet , Coşkun Turgay , Yücel Yılmaz Didem , Köksal Özgül Rıza , Hakan Aykan Hayrettin , Dursun Ali , Sivri Serap , Tokatlı Ayşegül
Published: February 2025

Objectives

Propionic acidemia (PA) is an autosomal recessive multisystem disorder caused by the deficiency of propionyl-CoA carboxylase, encoded by PCCA and PCCB genes. This retrospective study presents the clinical and laboratory characteristics of PA patients followed up in our center.

Methods

Included in the study were 50 patients diagnosed in a single center with propionic acidemia between 1984 and 2020, whose electronic and written hospital records regarding demographic, clinical, and laboratory features, along with diagnostic and therapeutic approaches, were reviewed retrospectively.

Results

This cohort had a median age at diagnosis of 18 days and 91.1 % (n=41) were born at term. Consanguinity was notably prevalent (91.1 %), and a family history of PA was reported in 14 % of cases. No significant relationships were observed between clinical and laboratory parameters and mortality. Laboratory findings at the time of diagnosis revealed significant metabolic abnormalities, including low levels of free carnitine, elevated C3 propionyl carnitine, and varied amino acid imbalances. Twenty-three patients exhibited developmental delay and/or intellectual disability. Brain magnetic resonance imaging unveiled white matter involvement and ventricular dilatation in 9/25 patients. Furthermore, dilated cardiomyopathy (26 %) was noted in patients who had cardiac assessments. Among the study cohort, 27 patients survived, 23 patients died during follow-up. No significant relationships were observed between clinical and laboratory parameters and mortality.

Conclusions

Despite improvements in the understanding of the pathophysiology and advances in diagnostic and treatment approaches, propionic acidemia and its long-term complications can still lead to severe consequences. This comprehensive evaluation offers valuable insights into the multifaceted nature of PA.
DNA ligase IV deficiency identified in a patient with hypergonadotropic hypogonadism: a case report
Authors: Yasar Deniz , Sezer Abdullah , Aytekin Caner , Karacan Küçükali Gülin , Özkaya Dönmez Beyhan , Araslı Yılmaz Aslıhan , Okur İclal , Sarıkaya Özdemir Behiye , Kurnaz Erdal , Keskin Melikşah , Savaş Erdeve Şenay
Published: February 2025

Objectives

DNA ligase IV (LIG4) deficiency is a rare autosomal recessive disorder associated with impaired DNA damage-response mechanisms. LIG4 deficiency exhibits a broad clinical spectrum, including microcephaly, facial abnormalities, sensitivity to ionizing radiation, ranging from severe combined immunodeficiency to normal immune function, progressive bone marrow failure, and predisposition to malignancy.

Case Presentation

We report an 18-year-old girl of consanguineous Turkish parents, first evaluated at 13 years old for growth retardation and short stature. She was born preterm at 32 weeks with dysmorphic facial features, lissencephaly, intellectual disability, and without immunodeficiency. Although diagnosed with growth hormone deficiency, she did not receive appropriate hormone therapy due to special circumstances. At the age of 15, she presented with primary amenorrhea. Further evaluation revealed hypergonadotropic hypogonadism due to gonadal failure. Genetic analysis revealed a homozygous c.2440C>T (p.Arg814Ter) mutation in the LIG4 gene. Following genetic counseling, her parents opted for prenatal diagnosis in a subsequent pregnancy, resulting in the birth of another child with the same condition.

Conclusions

LIG4 syndrome should be considered in the differential diagnosis of cases with growth retardation, microcephaly, and gonadal failure. In the literature, there are limited cases reported with gonadal failure in LIG4 syndrome. Here, we emphasize this aspect to highlight its significance.
Influence of excess weight on metabolic risk factors in Argentinian preschool children
Authors: Malpeli Agustina , Stallings Virginia , Sala Marisa , Fasano María Victoria , Varea Ana , Disalvo Liliana , Matamoros Natalia , Tournier Andrea , Gonzalez Horacio F
Published: February 2025

Objectives

Evaluate the differences in metabolic risk factors in preschool children with normal weight (NWG) or with some degree of excess weight (OWG).

Methods

Body mass index (BMI), umbilical waist circumference (WC), mid-upper arm circumference (MUAC) and total body fat (TBF) in children aged 1–5.9 years. The following metabolic risk factors were measured: blood pressure, fasting glycaemia, fasting serum insulin, HOMA IR Index, total cholesterol (TC), LDL cholesterol (LDL-C) HDL cholesterol (HDL-C) and triacylglycerol (TG).

Results

In population evaluated (n:689) MUAC, WC, TBF, HOMA IR were higher in OWG compared to NWG and significantly higher in OWG girls compared to boys (two ways ANOVA). Positive associations were found between diastolic blood pressure, insulin and HOMA IR and WC, MUAC, TBF, BMI z score in the adjusted and unadjusted model.

Conclusions

MUAC may emerge as an indicator with predictive power for metabolic risk and would be very useful to measure in many setting. There is a need for in-depth research into sex difference.
Is oxytocin related to psychiatric symptoms in adolescents with obesity?
Authors: Özyurt Gonca , Çatlı Gönül , Acar Sezer , Cingöz Gülten , Özsoylu Dua , Küme Tuncay , Kızıldağ Sefa , Dündar Bumin Nuri , Öztürk Yusuf , Karagöz Tanıgör Ezgi , Tufan Ali Evren , Abaci Ayhan
Published: February 2025

Objectives

We aimed to investigate the relation of oxytocin receptor (OXTR) gene variants (rs53576 and rs2254298) and serum oxytocin (OXT) levels with psychiatric symptoms in healthy adolescents and adolescents with obesity.

Methods

A total of 250 adolescents with obesity and 250 healthy adolescents were included in this study. Attachment properties, anxiety, and depression were evaluated with self-reports while diagnoses were ascertained with KIDDIE-SADS-PL Turkish version. Serum OXT level was studied with the ELISA method, and OXTR gene variants were studied by quantitative polymerase chain reaction (rs53576) and restriction fragment length polymorphism (RFLP) (rs2254298) methods.

Results

Serum OXT level was significantly lower in adolescents with obesity than in healthy controls. Self-reported symptoms of anxiety and depression were significantly elevated, especially in female adolescents with obesity, whereas parent/peer attachment was significantly lower. The rs53576 G/G genotype was found to be significantly more prevalent among obese youth. About 29.2 % of obese youth were diagnosed with psychopathology, especially anxiety and depression. OXT levels and receptor polymorphisms were not related to self-reported symptoms, attachment, and presence of psychopathology.

Conclusions

Further studies should evaluate the roles of other constructs (e.g., early adversity, parenting, social supports, coping, temperament, etc.) and discern the roles of parent–child synchrony in elucidating relationships between OXT, pediatric obesity, and psychopathology.
Karyotype of the lesser gymnure Hylomys maxi and comparison with its Vietnamese congeners (Mammalia: Eulipotyphla: Erinaceidae)
Authors: Yong Hoi-Sen , Song Sze-Looi
Published: February 2025

The male karyotype of Hylomys maxi has a diploid number (2n) of 46 chromosomes, with a medium-sized submetacentric X and a small acrocentric Y sex chromosomes. It has two chromosomes less than that of the Vietnamese taxa Hylomys peguensis microtinus and Hylomys macarong with 2n = 48, and differs particularly in the morphology of the second largest autosome – metacentric in H. maxi and submetacentric in the Vietnamese taxa. The karyotypes support the molecular findings that H. maxi and H. peguensis microtinus are not conspecific as members of H. suillus.