bluuebunny/crossref_metadata_2025_split huggingface dataset:
ДОПОЛНЕННАЯ И ВИРТУАЛЬНАЯ РЕАЛЬНОСТЬ В ПРОМЫШЛЕННОСТИ: ИСТОРИЯ РАЗВИТИЯ И ОСОБЕННОСТИ ПРИМЕНЕНИЯ
Authors: Н.Г. Мерзликин 
Published: September 2024

За несколько десятилетий увеличился научный интерес к аспектам применения цифровых технологий в бизнесе. Актуальные исследования показывают, что дополненная реальность и виртуальная реальность стали полноценными и самостоятельными технологиями симуляции реального окружения человека посредством взаимодействия с виртуальными объектами. Благодаря этим технологиям предприятия получают возможность создавать виртуальную симуляцию производственных процессов. В статье анализируется история применения технологий дополненной и виртуальной реальности в промышленности. Виртуальная и дополненная реальность зародилась более 50 лет назад. Обзор существующих исследований и раскрытие особенностей применения дополненной реальности и виртуальной реальности демонстрируют высокий потенциал их использования в различных индустриях. Проведенное исследование свидетельствует, что данные цифровые технологии формируют новую систему взаимодействия физических и виртуальных объектов. Первоначально исследователи рассматривали данные технологии с точки зрения технического решения – как новые способы проецирования виртуальных объектов за счет 3D-моделей, однако со временем фокус их внимания сменился на изучение особенностей их применения для решения бизнес-задач в промышленности.
Over several decades, scientific interest in aspects of digital technology applications in business has significantly increased. Current research shows that Augmented Reality and Virtual Reality have become full-fledged and independent technologies for simulating the real human environment through interaction with virtual objects. Thanks to these technologies, businesses are able to create virtual simulation of production processes. The article analyzes the history of augmented and virtual reality technologies application in industry. Virtual and augmented reality originated more than fifty years ago. The review of the existing studies and peculiarities of application of Augmented Reality and Virtual Reality demonstrates the high potential of their use in various industries. The research shows that these digital technologies form a new system of interaction between physical and virtual objects. Initially, the researchers considered these technologies from the point of view of technical solutions – as new ways of projecting virtual objects through 3D models, but over time the focus of their attention has changed to the study of their application features to solve business problems in industry.
Nowa tożsamość. Przyczynek do badań na przykładzie architektury Państwowej Fabryki Wagonów „Pafawag” we Wrocławiu
Authors: Kałuża Iwona 
Published: September 2024

The “Pafawag” State Rail Coach Factory was the first plant to be opened in post-war Wroclaw, one of the most important enterprises producing rolling stock, and at the same time a place of work for the population arriving in Wroclaw after 1945. Based on the history of the factory, the article is an attempt to define the new identity created after the World War II in the Recovered Territories. By means of a few selected examples from the field of architecture, the issues of the adaptation of post-German buildings and their adjustment to the needs of the time are addressed, as well as the construction of new buildings which, as a result of the process of humanisation of work, turned out to be objects of importance for the employees of this plant. The historical landscape outlined in the text is an example of the influence of the workplace on the area – in this case the “Pafawag” State Rail Coach Factory – on the new identity in post-warWroclaw.
Effects of grapevine canopy leaning on grape composition and wine quality of ‘Bobal’
Authors: Ferrer-Gallego Raúl , Buesa Ignacio , García-Esparza María J. , Álvarez Inmaculada , Intrigliolo Diego S. , Ramírez-Cuesta Juan Miguel , Lizama Victoria 
Published: September 2024

Exploring new field strategies for adapting winegrowing regions to the adverse effects of climate change becomes imperative. This study focuses on the effects of canopy architecture through the trellis systems leaning of North–South oriented vineyard’s rows vertical shoot positioned (VSP) system by 30° towards either the East (ESP) or the West (WSP) as a possible adaptation technique. The trial was conducted over two seasons in a Vitis vinifera L. cv. Bobal vineyard located in Requena (Valencia), eastern Spain, under a temperate-warm climate. The canopy leaning was considered to affect the radiation load and its timing with potential effects on vine physiology and grape metabolism and, consequently, on grape and wine quality. Leaning treatments affected vegetative growth, likely due to slight differences in vine water status. In comparison to VSP and ESP, WSP intercepts more light in the morning, when the photosynthetic capacity of the vines is at its highest. However, this results in a more negative vine water potential, which in turn leads to a reduction in vigour with no impact on yield. Musts from the WSP showed a tendency to increase total acidity compared to VSP, while ESP tended to decrease it. This was likely due to the reduction in temperature within the cluster microclimate in WSP in comparison to the ESP and VSP treatments. In addition, musts from the WSP treatment showed higher colour intensity, anthocyanins and polyphenols, potentially attributable to its more negative potentials, likely due to its more negative potentials, which may have prompted the synthesis of phenolic compounds. Consequently, wines from the WSP treatment displayed higher total acidity and lower pH, as well as higher colour intensity, anthocyanins, and polyphenolic content. In addition, WSP wines had higher concentrations of esters and higher alcohols. The improvements in grape and wine composition are likely due to an increased cluster radiation interception in the morning and reduced heating in the afternoon when VPD is higher. Our findings demonstrate that canopy management by leaning VSP vines towards the West can be a useful technique for adapting grape and wine composition to climate change and provide insights into its physiological basis.
Implementation of the Doelmatigheld Principle in Resolving Village Apparatus Selection Disputes in Klaten Regency
Authors: Kholik Nur , Abadi Muhammad Husnu , Subardjo Subardjo , Muhammadi Fauzan 
Published: September 2024

<p align="justify"><em>The screening selection mechanism for filling out village officials</em><em> in Klaten District</em><em> is regulated in Regent Regulation </em><em>of Klaten District </em><em>Number 30 of 2022 </em><em>on</em><em> Guidelines and Procedures for Appointing and Dismissing Village Apparatus. The </em><em>said district</em><em> regulation does not </em><em>provide</em><em> in detail the </em><em>elucidation</em><em> to be used as </em><em>the</em><em> solution. Seeing the various potential </em><em>issues</em><em> that</em><em> may</em><em> occur in the field, the legal basis for implementing the </em><em>screening process in the form </em><em>of Guidelines and Procedures for Appointment and Dismissal of Village Officials should regulate the methods and techniques for resolving disputes if </em><em>they are to</em><em> occur. Th</em><em>is </em><em>research </em><em>aims</em><em> to </em><em>identify</em><em> the implementation of the </em>Doelmatigheld<em> Principle in </em><em>dispute resolution</em><em> over</em><em> examination results of</em><em> village apparatus based on local wisdom in Klaten </em><em>District</em><em>. This is </em><em>an </em><em>empirical legal research</em><em> with a n</em><em>ormative juridical method. </em><em>Additionally</em><em>, the author also </em><em>utilises</em><em> a field study approach. The results of this research </em><em>indicate</em><em> that the principle of benefit is more relevant in decision making and local wisdom in Klaten </em><em>District</em><em>. This principle can also provide answers </em><em>in dispute resolution</em><em> over local wisdom-based village apparatus examination results in Klaten Regency that can be held accountable before the law.</em><em></em></p>
Towards a Better Transition to University: A Student-Centric Welcome Day for the New Undergraduate Students in a Mathematics Department
Authors: Saha Subhrajyoti 
Published: September 2024

This case study delves into a Welcome Day event organised by the Department of Mathematical Sciences at a UK university for the incoming first year students in the department. This report reflects some of the practicalities and the evaluation of the event. The event, primarily focused on student engagement activities along with reduced amount of traditional presentations, was aimed at facilitating peer networking and smoothing the transition from school to university, hence nurturing a sense of belonging within the student community. The structure of the event was crafted to align with the department's unique ethos, with an emphasis on activities that resonate with the field of mathematics. Evaluation of the event is done based on the responses from the students during the event via an online questionnaire. The event not only demonstrated high levels of student satisfaction but also served as a good example of department-specific orientation programs. These localized events can complement university-wide initiatives, offering a more tailored setting for new students to acclimate to their specific academic environment.Â This paper has the prospect to guide others and to reinforce the notion of seeking to tailor welcome days to match the needs of new cohorts.
From a demographic dividend to sustainable development of PRC with ageing population: view of Chinese experts
Authors: Volkova M. D. , Kruglova M. S. 
Published: September 2024

Objective: to identify the main trends in the studies of the PRC demographic problems by Chinese researchers; to determine the main directions of developments within the concept of demographic dividend in terms of their main problems and prospects for further adjustments in accordance with the ever-changing state demographic policy and the goals of sustainable development. Methods: qualitative methods (comparative analysis, generalization) of a systematic review of empirical studies. Results: the main trends and directions of modern Chinese demographic research are highlighted, one of which is the study of demographic processes as an important factor in the development of further trajectory of the PRC sustainable development. It is concluded that Chinese authors often write about the aging population as a competitive advantage of China. They explainthat with a competent economic and demographic policy, the “silver generation” will become an active participant in the economic and production activities of the country, making a noticeable contribution to GDP. We also analyze alternative approaches to the concept of demographic dividend, in which the main factor of China’s economic growth is determined notas the quantity but as the quality of labor force. Scientific novelty: the article systematizes the works by Chinese researchers in the context of the demographic dividend and identifies their main problems and focuses. Practical significance: the main conclusions of the article can be used in scientific and pedagogical activities in the study of economic and demographic policy of China. The research results can also be studied to clarify the demographic policy of the Russian Federation.
Integrating artificial intelligence into ERP systems: advantages, disadvantages and prospects
Authors: Antonova I. I. , Smirnov V. A. , Efimov M. G. 
Published: September 2024

Objective: to identify the key benefits and potential risks associated with the use of artificial intelligence in ERP systems to improve decision-making processes, management efficiency and operational performance of various sectors, including commercial and non-profit organizations. Methods: systematic literature review, empirical data analysis, analytical and experimental research methods. Results: the key directions of artificial intelligence implementation in ERP-systems are reflected, providing improvement of operational efficiency, customer relations, as well as optimization of business processes, data management, supply chain and personnel management, automation of operations related to finance, optimization of customer relations; implementation of artificial intelligence in ERP-systems reduces inventory management costs, improves the accuracy of forecasting andinventory optimization, accelerates financial analysis and increases the accuracy of budgeting, resulting in reduced budget planning time; it also increases productivity by optimizing necessary production processes and reducing equipment downtime. However, there are also risks of confidential data leakage, unauthorized access to data; job losses due to automation of tasks; and vulnerability to cyberattacks. Scientific novelty: the little-studied directions of artificial intelligence integration in ERP-systems are analyzed; an integrative approach to the application of artificial intelligence in ERP-systems is proposed, which combines methods of machine learning, natural language processing and predictive analytics and provides a comprehensive assessment of the complex impact on the business processes’ efficiency. Practical significance: the formulated directions for solving the identified problems of artificial intelligence integration in ERP-systems can be implemented in practice, as they will enable to better take into account local requirements and laws.
Legal education and artificial intelligence: vectors of interaction
Authors: Danielyan A. S. 
Published: September 2024

Objective: to develop proposals for the introduction of artificial intelligence (AI) in legal education. Methods: dialectical methods (analysis and synthesis, induction and deduction, systematization, comparison, classification, forecasting), statistical, formal-legal and comparative-legal methods. Used in combination, these methods allow comprehensive analysis of the relationship between AI and legal education. Results: the article reveals the main directions to improve legal education in the conditions of AI development: integration of information and communication technologies and training of specialists able to work effectively at the intersection of law and technology. The advantages and disadvantages of using AI in legal education are identified. Ethical aspects of AI application are outlined, as well as the need to manage the development of technologies based on the principles of fairness, transparency and consideration of human interests. The author states the importance of developing not only specialized knowledge, but also universal competencies that will help students to adapt successfully to the dynamically changing conditions of professional activity. Scientific novelty: a comprehensive analysis of the interaction between legal education and AI was carried out, including the identification of specific opportunities for the AI application in legal education, as well as related risks and problems. The author proposes a systematic approach to improving legal education in the context of AI development, focusing on theneed to revise educational programs in legal areas in terms of integrating information and communication technologies; developing universal competencies in students to adapt to a dynamically changing professional environment; introducing mandatory advanced training for judges, legal practitioners to develop skills for using AI systems. Practical significance: the study results can be used to optimize and adapt the educational programs of law schools to the digital era requirements and to develop effective approaches to the AI application in legal practice and education, taking into account ethical aspects and potential risks.
Endo180 and basement membrane stiffness induce OXPHOS and neoplasia in aging prostate epithelia
Authors: Rodriguez-Teja Mercedes , Pastro Lucía , Martínez Jennyfer , Fontenla Santiago , Chiale Ana , Frade María , Díaz Andrea , Martino-Kunsch Rodrigo , Castro Laura , Schenk Lysann , Quijano Celia , Sturge Justin 
Published: September 2024

Abstract

During prostate aging collagen-IV is modified by advanced glycation end-products (AGEs), inducing crosslinking of the basement membrane that surround glandular acini. AGEs-rich (stiff) basement membrane is sensed by the Endo180 receptor that triggers epithelial-to-mesenchymal transition, limiting survival in prostate cancer patients. Our finding that basement membrane stiffness and Endo180 cooperate to rewire epithelia for mitochondrial oxidative phosphorylation and gene signatures involved in sustaining evasion of growth suppressors, promotion of cell proliferation, resisting cell death, inflammation, invasion and metastasis -without affecting genome instability- pinpoints this biomechanical event in age-related neoplasia. Endo180 was found to couple to oxidative phosphorylation in Gleason 6, and uncouple in Gleason ≥7 tumors, revealing a switch that predicts transition from indolent to aggressive prostate cancer. This identifies Endo180 as a specific biomarker for the early stage of this age-related cancer that could help phase out unnecessary treatment and improve the quality of life and survival of patients.
Scalable intracellular delivery via microfluidic vortex shedding enhances the function of chimeric antigen receptor T-cells
Authors: Pawell Ryan , Sytsma Brandon , Allain Vincent , Bourke Struan , Faizee Fairuz , Fathi Mohsen , Berdeaux Rebecca , Ferreira Leonardo , Brewer Jared , Li Lian , Pan Fong , Rothrock Allison , Nyberg William , Li Zhongmei , Wilson Leah , Eyquem Justin 
Published: September 2024

Abstract

Adoptive chimeric antigen receptor T-cell (CAR-T) therapy is transformative and approved for hematologic malignancies. It is also being developed for the treatment of solid tumors, autoimmune disorders, heart disease, and aging. Despite unprecedented clinical outcomes, CAR-T and other engineered cell therapies face a variety of manufacturing and safety challenges. Traditional methods, such as lentivirus transduction and electroporation, result in random integration or cause significant cellular damage, which can limit the safety and efficacy of engineered cell therapies. We present hydroporation as a gentle and effective alternative for intracellular delivery. Hydroporation resulted in 1.7- to 2-fold higher CAR-T yields compared to electroporation with superior cell viability and recovery. Hydroporated cells exhibited rapid proliferation, robust target cell lysis, and increased pro-inflammatory and regulatory cytokine secretion in addition to improved CAR-T yield by day 5 post-transfection. We demonstrate that scaled-up hydroporation can process 5 x 108 cells in less than 10 s, showcasing the platform as a viable solution for high-yield CAR-T manufacturing with the potential for improved therapeutic outcomes.
Using fuzzy system as AI tool to minimize thermal bridges in design of external walls
Authors: Pomada Marta , Cpałka Krzysztof , Lacki Piotr , Adamus Janina 
Published: September 2024

Abstract

Buildings significantly contribute to climate change, accounting for approximately one-third of global energy consumption and a quarter of CO2 emissions. Therefore, all actions aimed at increasing building energy efficiency are of great importance. This study explores the application of fuzzy system – an artificial intelligence (AI) tool – for optimizing external wall designs, specifically focusing on minimizing thermal bridges at the window-to-wall connection. To achieve this, traditional thermal bridge analysis using the TRISCO program to generate training sets was employed. The data collected from thermal analysis served as input for machine learning. The fuzzy system was then utilized to estimate linear heat transmittance coefficients, which quantify heat loss through thermal bridges. The proposed AI approach demonstrates excellent performance, generating precise linear heat transmittance coefficient values. Importantly, due to its ability to generalize knowledge, the trained system accurately determines the value of the Ψ coefficient for cases not included in the training data – those for which traditional analysis using the TRISCO program had not been previously performed. By leveraging this approach for thermal bridge analysis, it becomes possible to reduce the need for classical analyses, which often involve time-consuming calculations, expensive experiments, and extensive designer expertise in selecting optimal solution.
A Short-term Electricity Load Forecasting Model:CEEMDAN-SE-VMD+SelfAttention-TCN Fusion Model
Authors: Han HaoTong , Peng JiShen , Ma Jun , Liu ShangLin , Liu Hao 
Published: September 2024

Abstract

Under the increasing electricity consumption trend and complex power consumption forms, accurate power load forecasting faces severe challenges. This paper proposes the CEEMDAN-SE-VMD + SelfAttention-TCN Fusion model. Initially, the original power load data undergo decomposition using CEEMDAN to generate Intrinsic Mode Functions (IMFs). These IMFs are then adaptively differentiated into high- and low-frequency components using Sample Entropy (SE), with high-frequency components further extracted twice via VMD. Subsequently, the original load data are reconstructed into sequences of high and low-frequency components. These sequences are input into TCN enhanced by self-attention for prediction, integrating results into final predictions. Using historical power load data from ENTSO Germany, an example achieves RMSE 24.1293, MAE 17.268, and R2 0.9838. Compared to SelfAttention-TCN without reconstruction, RMSE decreases by 25.5326, MAE 19.3769, R2 increases by 0.0515. The example illustrates that signal decomposition and reconstruction effectively capture latent deep features in load data, aiding model learning. Self-attention enhances TCN's ability to learn complex dependencies, improving prediction accuracy. This model demonstrates high tolerance to raw load data and strong performance in short-term power load forecasting tasks.
Photocatalytic hydrogen peroxide production with an external quantum yield of almost 500%
Authors: Tada Hiroaki , Yan Yaozong , Naya Shin-ichi , Hisashi Sugime , Soejima Tetsuro 
Published: September 2024

Abstract

From the perspective of energy and environmental issues, the development of green methods for H2O2 production is demanded as an alternative to the conventional energy-intensive anthraquinone method. Among the candidates, photocatalytic H2O2 production has recently attracted much interest. To withstand the use under harsh conditions, it is desirable that the photocatalyst be composed of robust inorganic materials. However, the external quantum yield (øex) of H2O2 production by inorganic photocatalysis remains below 20% in most studies. Here we demonstrate that a nanohybrid photocatalyst consisting of antimony-doped SnO2 and ZnO can produce H2O2 with a øex of ~500% from O2-saturated ethanol aqueous solution under UV-light irradiation. In the photochemical reactions, the quantum yield is usually far below unity (< 100%) due to the rapid recombination of photogenerated charge carriers. Breaking through this limit will pave the way for innovative photochemical reactions with the photocatalytic H2O2 synthesis brought closer to practical application.