bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Design of Pre-Engineered Industrial Warehouse Building with Different Base Condition
Authors: Tomar Shubham
Published: December 2024

Over the years, pre-engineered building (PEB) has emerged as a sustainable alternative to conventional concrete
construction as well as conventional steel construction. In this paper, pre-engineered industrial warehouse building will be
design with different codal provision using software Staadpro and analyzed with different loads on building i.e. dead load, live
load, collateral load, wind load and load combinations on building .The main objective of this study to find the optimum weight
of steel quantity in building with use of different country codel provision .
Relationship between parent–child cohesion and adolescent physical activity: A chain mediation model
Authors: Lai Dongbin , Wang Menghua , Zheng Yuan , Wen Pengfei , Luo Huan
Published: December 2024

In this study we explored the relationship between parent–child cohesion and physical activity among adolescents, as well as examining perceived social support and self-efficacy as mediators of this link. We integrated the Parent–Child Cohesion Scale, the Adolescent Physical
Activity Scale, the Perceived Social Support Scale, and the Self-Efficacy Scale, collecting data from 308 adolescents via paper questionnaires. The findings indicated that parent–child cohesion had a direct positive effect on adolescents' physical activity and also indirectly influenced
physical activity through the individual and chain mediators of perceived social support and self-efficacy. These results contribute to a deeper theoretical understanding of the mechanisms behind adolescents' physical activity. From a practical perspective, our findings offer new methods and
pathways for enhancing physical activity among adolescents.
The relationship between academic stress and mental health: Resilience as a moderator
Authors: Chen Yanpeng
Published: December 2024

The prevalence of academic stress among college students necessitates a comprehensive exploration of its detrimental effects on mental health. In this study I investigated the association between academic stress and mental health, while concurrently examining the moderating influence
of resilience. The research sample consisted of 303 Chinese college students, who participated in a paper-based survey. I employed hierarchical multiple regression analysis to assess the proposed hypotheses. The findings revealed a negative association between academic stress and mental health,
highlighting the significant role of resilience as a protective factor mitigating this adverse impact. By enhancing understanding of the link between academic stress and mental health in college students, this study extends prior research and provides valuable insights into this domain.
How work well-being predicts the career intention of social sports instructors in China
Authors: Liang Yiyuan , Jiang Xiaowei , Liu Shanshan , Li Kaigeng , Liu Yue
Published: December 2024

The promotion of nationwide physical fitness in China has increased demand for social sports instructors, but challenges such as a severe shortage of practitioners hinder its development. Drawing on social cognitive career theory, in this study we explored whether work well-being predicts
the career intention of social sports instructors. We found that work well-being positively predicted career intention through core self-evaluation. Specifically, job satisfaction and work engagement promoted career intention, whereas job burnout reduced career intention. Additionally, job
satisfaction and work engagement enhanced core self-evaluation, whereas job burnout diminished it. The study has expanded research on career intentions in the sports instructor industry, proposing methods to enhance the attractiveness of the social sports profession, and offering recommendations
for sustainable human resource development and nationwide physical fitness initiatives.
The impact of study engagement on the professional identity of college students majoring in English
Authors: Song Binbin , Liu Shuai
Published: December 2024

This study explored the impact of learning engagement on college students' professional identity, as well as the mediating role of self-efficacy in this relationship. We conducted a survey of 349 Chinese college students majoring in English. The results showed a significant positive
correlation between learning engagement and professional identity, and self-efficacy mediated this relationship. These findings provide insight into the complex interplay among learning engagement, professional identity, and self-efficacy within the Chinese higher education landscape, particularly
among college students majoring in English. Our findings have practical implications for educators seeking to enhance the professional identity of English-major college students and suggest avenues for future research in this area.
Tensor Network Techniques for Quantum Computation
Authors: Collura Mario , Lami Guglielmo , Ranabhat Nishan , Santini Alessandro
Published: December 2024

This book serves as an introductory yet thorough guide to tensor networks and their applications in quantum computation and quantum information, designed for advanced undergraduate and graduate-level readers. In Part I, foundational topics are covered, including tensor structures and network representations like Matrix Product States (MPS) and Tree Tensor Networks (TTN). These preliminaries provide readers with the core mathematical tools and concepts necessary for quantum physics and quantum computing applications, bridging the gap between multi-linear algebra and complex quantum systems.

Part II explores practical applications of tensor networks in simulating quantum dynamics, with a particular focus on the efficiency they offer for systems of high computational complexity. Key topics include Hamiltonian dynamics, quantum annealing, open system dynamics, and optimization strategies using TN frameworks. A final chapter addresses the emerging role of “quantum magic” in tensor networks. It delves into non-stabilizer states and their contribution to quantum computational power beyond classical simulability, featuring methods such as stabilizer-enhanced MPS and the Clifford-dressed TDVP.

In presenting tensor networks as tools for understanding quantum complexity, this book aims to foster a deeper collaboration between the many-body physics and quantum computing communities, inviting a broader audience to engage with these recent developments.
PERSPECTIVA DOCENTE SOBRE A INCLUSÃO DE ESTUDANTES SURDOS NOS CURSOS TÉCNICOS DE INSTITUTOS FEDERAIS: UMA REVISÃO INTEGRATIVA
Authors: Oliveira Silva Lislayne , Schwenck de Mello Vianna Soares Raquel , Carvalho Ferreira Bárbara
Published: December 2024

Este artigo de revisão integrativa aborda a perspectiva docente sobre a inclusão de estudantes surdos nos cursos profissionais dos Institutos Federais de Educação - IFEs. Neste sentido, visa analisar as produções científicas nacionais publicadas de 2016 a 2023. Foram utilizados como buscadores os bancos de dados da SciELO (Scientific Electronic Library Online), Capes Periódicos e Google Acadêmico. Aplicados os critérios de inclusão e exclusão a amostra final foi composta por nove artigos, que foram analisados na íntegra. Após a leitura, foi realizada uma análise a partir da similaridade e relevância temática, resultando em três categorias: formação inicial e continuada; adaptação curricular e metodológica e planejamento colaborativo. A análise revela desafios na educação para surdos, ressaltando a importância da reflexão crítica por parte dos docentes e das instituições de ensino. Espera-se que este estudo contribua para reflexões e projetos que visem a promoção de um ambiente educacional inclusivo e equitativo que atenda às necessidades específicas de aprendizagem deste público.
Knowledge, Practices and Anxiety related to Corona Virus Disease-19 (COVID -19) among Nursing Students in Nepal
Authors: Shrestha Sandhya , Tuladhar Jyoti Badan , Thapa Namrata
Published: December 2024

Introduction: COVID-19 is a pandemic that emerged and rapidly spread throughout the world in no time. Nursing students are the foundation of nursing profession and they have enormous role to control the spread of the disease in society. The present study was conducted to assess knowledge, practice and anxiety related to COVID-19 among nursing students of Nepal and to find out the correlation between anxiety and knowledge and practice. Methods: A descriptive cross-sectional survey was conducted among 214 Proficiency Certificate Level and Bachelor of Sciences in Nursing students of Nursing Programme, Manipal College of Medical Sciences. Data were collected from 25th May to 2nd June 2020 through self-developed structured questionnaire to measure knowledge and practice whereas, a validated â€œSelf -rating Anxiety scale (SAS)â€ was used to measure anxiety level via Google form. Data were analyzed using descriptive and inferential (spearman rho correlation) statistics. Results: Majority (73.80%) were from age group 16-20 years of age with mean age of 19.33Â±1.96 years. Majorities (83.60%) were Hindus. More than half (57.50%) of the respondents had adequate knowledge regarding corona virus infection, 58.90% had good practice and only 6.10% had mild to moderate anxiety level. There was no significant correlation of anxiety with knowledge (p=0.857) and practice (p=0.375). Conclusion: The study showed that more than half of the nursing students had inadequate knowledge, poor practices regarding corona virus infection and very few had mild to moderate anxiety level. Anxiety was not related to knowledge and practice regarding corona virus infection.
A Ten-year Retrospective Study of Nasal Bone Fractures at a Tertiary Care Hospital of Nepal
Authors: Pokharel Monika , Karki Subindra , Dhakal Ashish , KC Abha Kiran , Shrestha Krishna Sundar , Rajbhandari Pradeep , Neupane Manish
Published: December 2024

Introduction: Nasal bone fracture occurs due to its vulnerable position and reduced biomechanical resistance to traumas. If not timely treated, it can result in permanent functional and esthetic damage. Methods: A retrospective and cross-sectional study conducted on 91 patients above 17 years of age with nasal bone fractures in the Department of Otorhinolaryngology and Head and Neck surgery of a tertiary care hospital in Kavre. Results: Road traffic accident was the most common cause of fracture (45.1%) followed by fall (36.3%), violence (13.2%), sports-related accidents (4.4%) and occupational accidents (1.1%). Class I fracture was seen in 70 (76.9%), Class II in 17 (18.7%), and Class III in 4 (4.4%). A closed reduction procedure was performed in 74 (81.30%) of the cases, closed reduction with septoplasty was done in 10 (11%), closed reduction with augmentation rhinoplasty was performed for 3 (3.3%), closed reduction with inferior turbinoplasty was required in 3 (3.3%) whereas closed reduction with debridement was done in 1(1.1%). Conclusion: Nasal bone fracture is a complex clinical issue which needs to be addressed early. Violence prevention programs along with drinking and driving campaigns need to be more strengthened to decrease the alarmingly high frequency of nasal bone fracture in the current scenario.
Clinical Nursesâ€™ Knowledge and Attitude on Palliative Care: A Cross-Sectional Study
Authors: Nepal Parbati , Garbuja Chandra Kumari , Nepal Manju
Published: December 2024

Introduction: Palliative care is a multidisciplinary approach for enhancing the quality of life of terminally ill patients. For nurses, being the core members of the palliative care team, adequate knowledge and a positive attitude are crucial. This study aimed to assess clinical nurses' knowledge and attitude on palliative care. Method: A cross-sectional descriptive study was conducted among 122 nurses. A simple random sampling technique was applied to select the sample. Internationally validated questionnaires-â€œThe Palliative Care Quiz for Nursingâ€ and â€œFrommelt Attitudes Toward Care of the Dying Scaleâ€ were used to assess knowledge and attitude. Data were analyzed using descriptive statistics and inferential statistics. Results: The mean age of participants was 25Â±5.42 years and a majority (70.5%) were staff nurses. None of the participants had ever received training or in-service education related to palliative care. Only 29.5% had a fair level of knowledge and, 28.7% had a good level of attitude towards palliative care. Pearson correlation test revealed a negligible correlation between the level of knowledge and attitude (r= 0.135, p=0.887). Ethnicity (p=0.02) and religion (p=0.02) were statistically significant with the level of knowledge and care for dying relatives (p=0.03) was statistically significant with the level of attitude. Conclusion: The study revealed that nursesâ€™ have poor knowledge of palliative care but had a fair attitude. As nurses are core members, regular training and in-service education can enhance their knowledge level. Positive reinforcement, appreciation, and reward for desirable behavior can help them develop a good attitude towards palliative care.
Pharmacovigilance: Knowledge, Attitude and Practice among Medical Professionals at a Tertiary Care Hospital in Nepal
Authors: Kandel Kamal , Karki Naresh , Shah Kyushu , Prasad Pravin
Published: December 2024

Introduction: Awareness regarding pharmacovigilance and adverse drug reaction reporting by medical professionals significantly contribute to the safer use of medicine. Therefore, the objective of this study was to assess the knowledge, attitude, and practices regarding pharmacovigilance among the medical professionals at a tertiary care hospital in Nepal. Methods: This study was a descriptive cross-sectional study conducted at Lumbini Medical College and Teaching Hospital. Printed questionnaires were distributed to all the medical professionals and collected data were analyzed to find the knowledge, attitude, and practices of the medical professionals regarding pharmacovigilance. Results: A total of 107 medical professionals, 77 (71.96%) males and 30 (28.04%) females, participated in the study. The overall response rate was 98.16%. In this study,70.1% of medical professionals knew the definition of pharmacovigilance, and more than half of the participants(63.6%) did not know the existence of the national pharmacovigilance center. Regarding attitude, 52.3% of the medical professionals strongly agreed that adverse drug reaction reporting and monitoring systems were beneficial to patients or improved patient care. Half of the medical professionals would sometimes counsel the patients about adverse drug reactions. Almost half of  medical professionals mentioned that the major factor behind underreporting was insufficient knowledge of where to report adverse drug reactions. Training on pharmacovigilance was the main recommendation from the participants (52.3%) to improve the pharmacovigilance program. Conclusion: There is room for improvement in the knowledge, attitude and practice of the participants. Most medical professionals suggested training or continuing medical education as a way to improve pharmacovigilance programs.
Impact of Lockdown of COVID 19 Pandemic in Pregnancy Outcomes in a Tertiary Care Centre: What to expect?
Authors: Subedi Anjali , Magar Poonam , Shrestha Junu , Subedi Seema
Published: December 2024

Introduction: Corona Virus Disease 19 (COVID-19) was declared a "pandemic" in March 2020 by WHO and advocated lockdown measures with the use of mask, frequent hand washing and social distancing for decreasing the transmission of disease. In Nepal where antenatal coverage is just 50% and institutional deliveries 54%, this lockdown has further reduced the regular antenatal visits, institutional deliveries posing an increased adverse effect in pregnancy outcome. This study aimed to reveal the impact of lockdown in pregnancy outcomes in a tertiary care center. Methods: It was a cross-sectional, analytical study done in the Department of Obstetrics and Gynecology, Manipal Teaching Hospital for three months lockdown period (March 2020 to June 2020) and total deliveries along with maternal and perinatal complications were studied in the lockdown period and compared with those in non-lockdown period. Results: During the lockdown period, there were total 1070 deliveries and maternal complication was seen in 17.38% of deliveries. In the non-lockdown period, there were total of 982 deliveries and maternal complication was present in 18.43% of deliveries (p= 0.53). In the study, more cases of early pregnancy complications were seen in lockdown period than in non-lockdown period. Regarding obstetric complications, hypertensive disorder was the most common one observed during lockdown period whereas preterm labor was common in non-lockdown period. There was no increase in perinatal complications during lockdown period on comparing to non-lockdown period. Conclusion: There was no increase in adverse pregnancy outcomes during lockdown of COVID 19 pandemic in a tertiary care center.
Fatigue and Sleep Quality Among Staff Nurses Working in A Tertiary Care Hospital During COVID-19 Pandemic
Authors: Rana Sunita , Koirala Mamta , Thapa Nongmaithem Jid Noon Baral , KC Samikshya
Published: December 2024

Introduction: Fatigue, a universal phenomenon, is a suboptimal psychophysiological condition caused by physical and/or mental exertion. Insufficient recovery between work shifts causes accumulated acute fatigue to progress into chronic. As fatigue and sleep quality are related, adequate sleep and inter shift recovery are thus vital to the overall health. The current COVID-19 pandemic has caused added burden to the nursing workforce worldwide. This study aimed to assess fatigue and sleep quality among staff nurses of a tertiary care hospital during the pandemic. Methods: A descriptive cross-sectional study was conducted among 151 staff nurses of Lumbini Medical College and Teaching Hospital (LMCTH) using enumerative sampling method. Valid and reliable instruments i.e., Occupational Fatigue Exhaustion Recovery (OFER) and Pittsburgh Sleep Quality Index (PSQI) were used. Analysis was done using descriptive and inferential statistics. Results: The mean Â±SD age of the participants was 26.54Â±6.93 years. Less than half (39.1%) of them had moderate to high acute fatigue. Nearly half (41.2%) had high chronic fatigue and most (61.6%) had low to moderate inter shift recovery. Poor sleep was found among 60.9% of the participants with mean global PSQI score of 6.74. Sleep quality had moderate positive correlation with chronic (r=0.4, p<0.001) and acute (r=0.39, p<0.001) fatigue whereas had moderate negative correlation with inter shift recovery (r=- 0.41, p<0.001) which were statistically significant. Conclusion: The staff nurses had fatigue and poor sleep during COVID-19 pandemic. Nursing administration should take appropriate measures timely to decrease fatigue and improve sleep to prevent serious consequences.
Global compact attractors and complete bounded trajectories for compressible magnetohydrodynamic system of equations
Authors: Muhammad Jan
Published: December 2024

In this article, we investigate the global behavior of magnetohydrodynamic (MHD) fluid?s weak solutions in three-dimensional bounded domain with a compact Lipschitz boundary driven by arbitrary forces. We show that global compact attractors exist under specific limitations on the adiabatic constant ?.
'Capricho' Avoiding Fear in Encounters with Spirits in the Andes
Authors: Munoz OSCAR
Published: December 2024

This article analyses encounters of Quechua peasants in the Potosí region of Bolivia with sajra espíritus (evil spirits). In order to ensure that these spirits do not cause them too much harm, they must not be afraid and this fearless state is achieved by means of what they call capricho. This word refers to a set of courageous actions during the encounter, which mainly allow the waylaid person to recognise the spirit and therefore to know how to deal with it. But this whole process must be shared and verbalised. Thus, capricho extends beyond the event and is also present in the transmission of the experience.
Przepustka do lepszego życia? Praca w Polsce w wyobrażeniach filipińskich migrantów
Authors: Wanicka Olga , Patzer Helena
Published: December 2024

Migracja Filipińczyków do Polski odbywa się głównie poprzez agencje pracy i koncentruje się na wyjazdach pracowników kontraktowych. Ten proces wynika z postrzegania Polski jako atrakcyjnego kraju migracji oraz z jej rosnącego w ostatnich latach udziału w globalnym pośrednictwie pracy. Celem artykułu jest przybliżenie tego, w jaki sposób migranci z Filipin wyobrażają sobie pracę za granicą i jak do tej wizji pasuje praca w Polsce. Poprzez analizę narracji i praktyk migracyjnych, pokażemy jak pracownicy z Filipin radzą sobie w sytuacji migracji. Uważamy, że przypadek filipiński szczególnie wyraźnie pokazuje pozytywną wizję pracy za granicą. Wyobrażenia te są kształtowane przez opowieści innych migrantów, przekazywany międzypokoleniowo wzór migracji, przekazy medialne, a także narracje agencji pośrednictwa pracy. Pozytywne wyobrażenia o pracy w Polsce wynikają też z wcześniejszych doświadczeń migracyjnych. Nawet jeśli praca za granicą wiąże się z obniżeniem dotychczasowej pozycji zawodowej migrantów, to najczęściej nadaje sens codziennym obowiązkom zawodowym, ponieważ ma przynieść „lepsze życie” w przyszłości. Artykuł ten powstał z połączenia badań i obserwacji prowadzonych przez autorki na przestrzeni ostatnich kilku lat. Dodatkowo, analizę wspierają wnioski ze wspólnych badań terenowych w Manilii w lutym 2024 roku.
W stronę entografii enaktywnej. Analiza "Linguistic Bodies. The Continuity Between Life And Language" autorstwa Eleny Clare Cuffari, Ezequila di Paolo i Hanne de JaegherBetween Life and Language, Elena Clara Cuffari, Ezequiel di Paolo i Hanna de Jaegher
Authors: Kaminski Jaroslaw
Published: December 2024

Artykuł stanowi analizę bazującej na paradygmacie ucieleśnionego języka i enaktywnego (opartego na działaniu) powstawania znaczenia koncepcji ciał językowych przedstawionej przez Elenę Clarę Cuffari, Ezequiela di Paolo i Hannę de Jaegher. Analiza ta oparta jest zarówno na badaniu samej teorii jak i jej źródeł – na tej podstawie uzasadnia się stosowność zastosowania koncepcji w badaniu komunikacji zwierząt nie-ludzkich.
Sławoj Szynkiewicz (1938–2023). Trzy wspomnienia
Authors: Wasilewski Jerzy S. , Baraniecka-Olszewska Kamila , Tangad Oyungerel
Published: December 2024

Wspomnienie o profesorze Sławoju Szynkiewiczu
CONTROLANDO O ESTADO: PRÁTICAS DE “CONTROLE SOCIAL” DO MINISTÉRIO DA TRANSPARÊNCIA, FISCALIZAÇÃO E CONTROLADORIA-GERAL DA UNIÃO
Authors: Giordano Pedro Henrique Nogueira
Published: December 2024

Este artigo é uma etnografia de práticas do Ministério da Transparência, Fiscalização e Controladoria-Geral da União voltadas à promoção do “controle social” da administração pública federal. Em 2012, logo após vigorar a Lei nº 12.527/2011, ou como é conhecida, a Lei do Acesso à Informação, a CGU, para divulgar a prática do “controle social”, investiu pesadamente em produção de vídeos, inclusive os retratados neste trabalho. O esforço do órgão na promoção do “controle social” é observável em uma ferramenta muito comum no dia a dia dos brasileiros e brasileiras que possuem acesso à internet: as redes sociais. Com a interação direta entre o órgão e seus seguidores, é feito um trabalho de divulgação de diversos assuntos que a agência aborda. Valendo-se da análise desses vídeos, disponibilizados pelo Ministério na plataforma YouTube, objetiva-se compreender a própria noção de “controle social” que o órgão tenta promover por meio de sua atividade no site e algumas de suas implicações. Observando os vídeos, aponto a Lei do Acesso à Informação como um “eixo” gerador dos conteúdos que a CGU produz. A pesquisa pretende, por meio da análise da linguagem empregada nos vídeos, bem como os elementos visuais e verbais, justapondo-os a reações dos usuários às práticas da Controladoria-Geral da União, discutir os conceitos que cinco vídeos exprimem sobre “cidadão”, “controle social” e “corrupção”, tal como mobilizados pela CGU, podendo-se pensar em uma noção de “sociedade” gerada à luz desses conceitos.
"O MUNDO DO TRABALHO NO CINEMA”: RELATO DE EXPERIÊNCIA DE UM PROJETO DE EXTENSÃO
Authors: Souza Jamerson Murillo Anunciação de , Nascimento Victória Keller Matias Costa do , Silva Roseana Garcia dos Santos , Freitas Pamella Kathleen Fernandes de
Published: December 2024

O trabalho ora apresentado se constitui como um relato de experiência de um projeto de extensão universitária realizado na Universidade Federal da Paraíba. O objetivo do texto é a produção de conhecimento a partir de uma experiência prática para além da mera sistematização, sinalizando a unidade da práxis. As reflexões são ancoradas na teoria social crítica. A metodologia tem duas fases: uma descritiva, caracterizando a experiência, seu local, sujeitos, objetivos e práticas, e outra explicativa, relacionando aspectos da intercessão da prática com a reflexão teórico-filosófica. A exposição está organizada em quatro etapas relacionadas, correspondendo à metodologia: uma seção informativa, a segunda é teórico-conceitual, a terceira é dialogada e a última, crítico-reflexiva. Como resultados da experiência de extensão, destacam-se: exibição e debates de filmes temáticos com público interdisciplinar, produção de conhecimento teórico-filosófico da equipe, experiência extensionista com adensamento de temas importantes de disciplinas na grade curricular do curso de Serviço Social.
Succession and sustainability in wood-working and furniture family businesses in Slovakia
Authors: Sedliačiková Mariana , Halász Martin , Javorčík Patrik , Sujová Andrea Janáková
Published: December 2024

Generational change or succession is a critical point in the life cycle of every family business from the point of view of the sustainability of the company. It is therefore necessary for family businesses to be sufficiently prepared for this change and not to underestimate it. The main purpose of the research is to map the issues of the succession process and to identify the significant factor threatening the generation change in wood-working and furniture family businesses in Slovakia which are crucial for their sustainability. To obtain relevant results, the study surveyed 460 family enterprises operating in wood-working and furniture industry. To meet the stated goal, the methodological tool of the research was a questionnaire survey. The established hypotheses were tested using the following statistical methods: Binomial test and Interval Estimate. From the achieved results obtained through the evaluation of the questionnaire survey, it was concluded that the majority of family businesses in Slovakia operating in the woodworking and furniture sector have not yet dealt with the succession process. The main factor influencing the planning of this process is the age of the founder of the company. The majority of family businesses have a succession plan and do not consider selling the business to a strategic investor in the absence of a suitable successor. Based on the results of the research, recommendations were formulated for theory, science and practice which have potential to improve the quality of succession and thus also the sustainability of these enterprises of the enterprise.
Investigation of Preliminary Dilution Process for Return Water before Discharge into Water Body
Authors:   Lviv Polytechnic National University, Orel Vadym , Matsiyevska Oksana , Pitsyshyn Bohdan , Drogan Vlad
Published: December 2024

One of the methods to intensify the initial dilution process of return water from a sewage treatment facility is to disconnect individual diffuser-type return water discharge devices. It is proposed to perform pre-dilution of return water in a mixer with water from the receiving water body into which they are discharged. The return water should pass into the mixer through the water discharge devices (nozzles) of the distribution pipeline. Empirical research methods were used in this work. The experiments were conducted using the model water. In the hydraulic flume, the water flow was in a calm state, while in the distribution pipeline, the flow regime was turbulent. An increase in return water dilution by 12.2% was achieved by reducing the number of nozzles in the distribution pipeline from seven to four. This confirms the possibility of intensifying the return water dilution by avoiding the interaction between the jets emerging from the discharge devices in the distribution pipeline. If necessary, it is recommended to use the ways of increasing the flow rate of return water from the discharge devices.
Information Technologies for Solving the Problem of Correcting Errors in Ukrainian-language Texts
Authors:   Lviv Polytechnic National University, Fedchuk Rostyslav , Vysotska Victoria ,   Lviv Polytechnic National University
Published: December 2024

This article is dedicated to the study and analysis of grammatical error correction (GEC) tasks in Ukrainian language texts, which is a significant issue in the field of natural language processing (NLP). The paper addresses the specific challenges faced by automatic error correction systems due to the peculiarities of the Ukrainian language, such as its morphological complexity and contextuality. Examples of typical errors are provided, and the reasons why existing GEC methods often prove insufficient for Ukrainian are analysed. The literature review covers recent research and publications in the GEC field, particularly those related to other languages, and highlights approaches that can be adapted for Ukrainian. Special attention is given to the analysis of existing Ukrainian text corpora, such as the UA_GEC and others used for training machine learning models. Their volume, text types, specifications, advantages, and disadvantages are described. Tools for natural language processing that support Ukrainian, such as LanguageTool, NLP-uk, Stanza, NLP-Cube, pymorphy2, Tree_stam, are examined. Their functionalities, performance, and accuracy are analysed. Pre-trained machine learning models, including mBART50 and mT5 were adapted for Ukrainian with description of their effectiveness in GEC tasks. The article presents practical aspects of applying these models and corpora for automatic grammatical error correction in Ukrainian texts. The process of adapting models to the specifics of the Ukrainian language is detailed, practical case examples are provided, and results are analysed. A significant part of the paper is devoted to the description of the developed decision support system for correcting errors in Ukrainian language texts. The system’s architecture, its main components, and processes are presented through UML diagrams. The input and output data are described, along with an analysis of the obtained results, demonstrating the effectiveness of the proposed solutions. The results of this study can be useful for NLP system developers, researchers in text processing, and educational institutions focused on improving the quality of written texts in Ukrainian.
Intelligent System for Complex Military Information Analysis Based on Machine Learning and NLP to Assist Tactical Links Commanders
Authors:   Lviv Polytechnic National University, Danylyk Vitaliy , Lytvyn Vasyl ,   Lviv Polytechnic National University, Vysotska Victoria ,   Lviv Polytechnic National University
Published: December 2024

The article describes the results of research into the processes of complex analysis of military information based on machine learning and natural language processing to help commanders of tactical units. The system should allow users to have the following capabilities: combining the dictionary and information material, adding terms and abbreviations to the dictionary, classifying objects for radio technical intelligence, visualizing aerial objects, classifying aerial objects, using information materials, organizing information materials. The developed intelligent system consists of four modules, namely, a module for integrating definitions of potentially unknown terms and abbreviations into information materials, a module for classifying objects for radio technical intelligence, a module for visualization and classification of aerial objects in real time, and a module for structuring military information. Also, the system has developed a module for correcting spelling and grammatical errors in the text based on a sorting algorithm and a dictionary of about 30,000 words of the Ukrainian language. The article describes the general structure of the developed system and, accordingly, the structures and algorithms of the functioning of each developed module of the system. The functional requirements of the system and separately for each module are also given. A description of the experimental testing of the developed software was carried out.
Information System of Semi-supervised Learning for Analysis of Data Samples With High Dimensions
Authors:   harkiv National University of Radio Electronics, Miroshnychenko Nelia , Perova Iryna ,   harkiv National University of Radio Electronics, Datsok Oleg ,   harkiv National University of Radio Electronics
Published: December 2024

The study of large datasets to uncover hidden patterns and trends has become increasingly important and valuable in recent years. These large datasets are characterized by wide availability, structural complexity, and significant volume of information.

This article proposes a detailed description of a semi-supervised learning information system for analyzing high-dimensional data samples. The system is designed to process large datasets using semi- supervised learning methods for effective analysis and classification. Existing information systems capable of working with high-dimensional data samples, as well as methods for efficient analysis and classification of these data samples, were analyzed for this purpose.
The article provides a detailed description of the system architecture, including data processing methods, feature selection, preprocessing modules, and training optimization methods.
The System of Data Quality Assessment Criteria in Distributed Information Systems
Authors:   Lviv Polytechnic National University, Heriak Yurii , Berko Andrii ,   Lviv Polytechnic National University
Published: December 2024

The authors developed a system of criteria for assessing data quality in the context of distributed information systems. The article describes a set of data quality dimensions formulated based on the challenges of data storage and processing in distributed environments. The main objective of the research is to identify the primary requirements and challenges faced by distributed information resources and to satisfy them with specifically selected data quality criteria. A comprehensive analysis of the literature was conducted to identify key data quality dimensions commonly found in most studies. These dimensions include completeness, accuracy, consistency, and timeliness. The article also outlines the main problems encountered when working with data in distributed information systems. Considering the results of the literature review, an attempt was made to formulate a unified set of data quality assessment criteria, which includes accuracy, consistency, completeness, timeliness, accessibility, and other specific data features. Authors emphasize that data quality criteria depend directly on the purpose of the information system and are based on specific requirements. Therefore, this solution represents only a minimum set of characteristics for evaluating data quality in distributed information systems.
GNN Implementation Approaches in AWS Cloud for Risk Assessment in the Insurance Area
Authors:   Lviv Polytechnic National University, Lutsenko Oleksandr , Shcherbak Serhii ,   Lviv Polytechnic National University
Published: December 2024

This article analyzes three most common approaches to the GNN architecture implementation on the AWS cloud for the use case of the risk assessment in the insurance area. The paper is split to several chapters, with the first one being the overview of 3 approaches to the GNN architecture, the second one describing prerequisites for the implementation, and finally development of the approaches on the cloud infrastructure, testing them on graph insurance data and comparison of all the approaches to select the most suitable for the risk assessment task.
The initial chapter introduces the three architectural approaches to GNN implementation being respectively Graph Convolutional Network (GCN), Graph Attention Network (GAT) and GraphSAGE (Graph Sample And AGgregatE). To conclude the chapter, it is decided to proceed with the further implementation of all three models on the AWS infrastructure and analyze the outputs on the same graph data to select the best suit for the risk assessment use case.
Then the article proceeds with considering the specifics of a realization of risk assessment in insurance on top of cloud infrastructure and preparing the data to use it for the GNN training and testing. After the analysis of the use case, it is decided to focus on only on the individuals’ insurance. The main goal is to analyze the unique properties of every human which can affect the risk of insuring them as well as their connections with other individuals.
Further along, the development of all three approaches for risk assessment solution is described with first being GCN, then GAT and finally GraphSage. The models are then trained, tested and the output analysis is performed. Considering the analysis results, GAT and GraphSage provide the most correct results maintaining the test accuracy. However, considering model statistics, it is found that GraphSage has more distinct probabilities and additional insights through feature importance analysis which makes it the best fit for the risk assessment use case.
The article concludes by stating that out of all three analyzed architectures the most suitable for the risk assessment task is the GraphSAGE with a slight difference between this model and GAT, which will be used for further analysis and improvements. Furthermore, the article mentions a few steps for the potential future improvements of the models, which include using class weights or oversampling techniques to ensure the best performance, also mentioning the experiments that can be done with deeper architectures or different GNN layers. The last but not the least would be to focus on the testing and training on the larger dataset to make it more applicable for real-world applications.
Base Components of the Neuro-fuzzy Control System for a Group of Mobile Robotic Platforms
Authors:   Lviv Polytechnic National University, Tsmots Ivan , Opotyak Yurii ,   Lviv Polytechnic National University, Oliinyk Oleksandr ,   Lviv Polytechnic National University, Antoniv Volodymyr ,   Lviv Polytechnic National University, Lytvyn Andrii ,   Lviv Polytechnic National University
Published: December 2024

Coordinating the movement of mobile robotic platforms (MRPs) in dynamic environments is a significant challenge in both civil and military applications, where large-scale transport, exploration, and task distribution are required. This research presents a neuro-fuzzy control system that integrates fuzzy logic with real-time navigation to optimize group movement. The system’s key components include data acquisition from navigation sensors such as gyroscopes, digital compasses, and lidars, along with wireless communication modules to facilitate seamless interaction and coordination among MRPs. A fuzzy logic controller, enhanced by neuro-like defuzzification, improves decision-making precision and platform synchronization. Additionally, the system incorporates advanced route planning algorithms to effectively manage group navigation, even in unpredictable and rapidly changing environments. The practical implementation is based on embedded platforms, including Raspberry Pi and microcontrollers such as STM8S003F3 and ESP32C3, which process data from sensors like the MPU-6050 gyroscope, QMC5883L compass, and YDLidar X4 lidar. This architecture was experimentally validated across real-world scenarios, demonstrating significant improvements in movement coordination, reduced response time, and enhanced operational efficiency. The system supports parallel processing and real-time optimization, making it suitable for tasks that require rapid adaptation to changing conditions. Furthermore, its scalability and flexibility make it an effective solution for real-world applications in environments that demand precise group control. The results underscore the practical value of this approach, reducing both development time and costs while improving the overall performance of MRP systems in complex operational settings. The developed neuro-fuzzy system provides a robust and scalable platform for efficient group management, making it well-suited for a wide range of dynamic, real-time applications.
Implementasi Projection Profile dan K-Nearest Neighbors dalam Pengenalan Tulisan Karakter Aksara Lampung
Authors: Junaidi Akmal , Yunani Rehta , Ardiansyah Ardiansyah
Published: December 2024

As one of the countries with a rich culture, Indonesia faces considerable challenges to preserve the diversity of its languages and writings. Lampung Province is one of the regions that has its language and script. However, over time, the variety of writings in the form of the Lampung script began to be forgotten because this variety of writings was not often used as a means of daily communication. One effort can be done to digitize the Lampung script, using the character recognition method using the projection profile as the feature extraction method, and K-Nearest Neighbors (KNN) algorithm to predict character shape. This study has two types of data: training data and testing data with 18-character labels. The comparison of the training and testing data used is 75.56% for testing data, and 24.43% for testing data. The features used are features obtained from image extraction measuring 20 x 20 pixels using a projection profile. The types of features obtained are Horizontal Projection Profile (HPP), Vertical Projection Profile (VPP), and Combined Projection Profile (CPP) which are obtained by combining HPP and VPP features. KNN classification is carried out with 10-fold cross-validation, using a base model and an optimized model with GridSearchCV. The best classification results are obtained using the Combined Projection Profile (CPP) feature with an optimized model using GridSearchCV. The evaluation results obtained for the best image data classification with an accuracy of 86.23%, precision of 86.23%, the sensitivity of 86.23%, specificity of 99.19%, F-Measure of 86.23%, and Matthew Correlation Coefficient (MCC) of 85.09%.
Breaking up the Big Deal?
Authors: Vaillancourt Shawn , Creelman Kerry
Published: December 2024

This paper explores the methodology used to assess the value of a Big Deal package while inter-institutional negotiations were ongoing. Analysis was performed primarily with quantitative factors, including usage, cost, cost per use, and faculty citations. After identifying the highest and lowest performers in these categories, librarians were able to eliminate them easily from further deliberation. Then weighted scoring was applied to moderate performing titles. Weighting identified additional titles that could be sorted, leaving a smaller pool for title by title deliberation performed by a team of librarians, and a final pool of ‘must have’ titles to be collated and presented to administrative stakeholders.
Evaluation of a PDA Pilot Program to Address Equity and Diversity in Academic Library Acquisitions
Authors: Kennedy Kimberly , Saragossi Jamie
Published: December 2024

In the summer of 2023, Stony Brook University Libraries (SBUL) embarked on a transformation, shifting from a traditional liaison-based system to a teams-based approach. This transition reflects a broader trend in academic libraries toward optimizing operational efficiency and resource allocation amidst evolving staffing and budgetary challenges. Central to this transformation is the redefined role of the Division of Collection Strategy and Management, which now oversees all areas of collection development. This paper examines SBUL’s decision to pilot a user-centered collection development strategy, implementing a multiple-publisher Patron-Driven Acquisition (PDA) model while maintaining traditional firm order requests from faculty and students. We explore the methodology of transitioning acquisition workflows, the rationale behind adopting a user-centric approach, and the implications of this model on aligning library collections with the diverse needs of the campus community. The new collections team at SBUL identified three main goals for this pilot program: 1) enhancing and diversifying the collection, 2) identifying organizational efficiencies, and 3) implementing fiscal controls.  The analysis draws on data collected during the pilot to offer insights into best practices for evolving library acquisition strategies in response to shifting user expectations and campus diversity in an environment of organizational constraints.
Reading Habits of the Adult Readers of Kotahena Public Library of Sri Lanka
Authors: Kaushamalika PKM , Fernando CN
Published: December 2024

The study examined the reading habits of adult readers and use of library resources and services of Kotahena Public Library, Colombo: Sri Lanka. Readers who come to the library have different reading habits.  Libraries are assisting in providing the right information to the right users, right format at the right time. This study was conducted using a survey method and adopted a deductive approach. Structured questionnaires through Google Forms were used to collect data. Questionnaires were distributed through WhatsApp to 80 respondents which covers the total population. The study found that reading has improved the lives of readers. Primary data was used for the conducted research. Data was collected through the questionnaire from two main questions and collected data was analyzed using quantitative techniques. The study found that adults’ purposes, types of reading materials and time, allocation, place, language for reading by adult users that visiting the Kotahena Public Library. Findings of the study can be used to reinforce the services with which the users were satisfied, focus on services that need more improvement according to user concerns, and to take steps for resolution of identified problems to gain users' satisfaction.
Development of public libraries in Mongolia (1921-1990)
Authors: Tumur Khaidav
Published: December 2024

The victory of the people’s revolution in Mongolia in 1921 became the basis for the rapid development of modern science. One example of this is the public library.  (“Historical Bureau – National Library of Mongolia” 2021) In 1924, the First Great Khural of the State convened, adopted a new constitution, and declared the country as the Republic of Mongolia, which marked a new stage of development.