bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthetic Imaging Radar Data Generation in Various Clutter Environments Using Novel UWB Log-Periodic Antenna
Authors: Trivedi Deepmala , Phartiyal Gopal Singh , Kumar Ajeet , Singh Dharmendra
Published: December 2024

In short-range microwave imaging, the collection of data in real environments for the purpose of developing techniques for target detection is very cumbersome. Simultaneously, to develop effective and efficient AI/ML-based techniques for target detection, a sufficiently large dataset is required. Therefore, to complement labor-intensive and tedious experimental data collected in a real cluttered environment, synthetic data generation via cost-efficient electromagnetic wave propagation simulations is explored in this article. To obtain realistic synthetic data, a 3-D model of an antenna, instead of a point source, is used to include the coupling effects between the antenna and the environment. A novel printed scalable ultra-wide band (UWB) log-periodic antenna with a tapered feed line is designed and incorporated in simulation models. The proposed antenna has a highly directional radiation pattern with considerable high gain (more than 6 dBi) on the entire bandwidth. Synthetic data are generated for two different applications, namely through-the-wall imaging (TWI) and through-the-foliage imaging (TFI). After the generation of synthetic data, clutter removal techniques are also explored, and results are analyzed in different scenarios. Post-analysis shows evidence that the proposed UWB log-periodic antenna-based synthetic imagery is suitable for use as an alternative dataset for TWI and TFI application development, especially in training machine learning models.
Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network
Authors: Song Jian , Tian Yingzhong , Wan Xiang
Published: December 2024

Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. In order to solve these problems, this study combines traditional visual detection methods and deep neural network technology to propose a transfer learning multi-channel fusion decision network without significantly increasing the number of network layers or the structural complexity. Each channel of the network is designed according to the characteristics of different types of defects. Dynamic weights are assigned to achieve decision-level fusion through the use of a matrix of indicators to evaluate the performance of each channel’s recognition ability. In order to improve the detection efficiency and reduce the amount of data transmission and processing, an improved ROI detection algorithm for surface defects is proposed. It can enable the rapid screening of target surfaces for the high-quality and rapid acquisition of surface defect images. On an automotive pipeline surface defect dataset, the detection accuracy of the multi-channel fusion decision network with transfer learning was 97.78% and its detection speed was 153.8 FPS. The experimental results indicate that the multi-channel fusion decision network could simultaneously take into account the needs for real-time detection and accuracy, synthesize the advantages of different network structures, and avoid the limitations of single-channel networks.
Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation
Authors: Kim Seieun , Zhong Yinai , Wang Jue , Kim Hak-Seon
Published: December 2024

The increasing adoption of healthcare devices necessitates a deeper understanding of the factors that influence user acceptance in this rapidly evolving area. Therefore, this study examined the factors influencing the technology acceptance of healthcare devices, focusing on radar sensors and wearable devices. A total of 1158 valid responses were used to test hypotheses, mediation, and moderation effects using SmartPLS 4.0. The results highlighted the significant role of performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk in shaping user attitudes and trust, which in turn influence behavioral intention. The findings suggested that attitudes fully mediate the effects of performance expectancy and effort expectancy on behavioral intention, while social influence, facilitating conditions, and perceived risk exhibit partial mediation. Moderation analysis revealed significant effects of generation on the relationship between attitude, trust, and behavioral intention. Additionally, device type moderated the effect of trust on behavioral intention, showing a different influence between radar sensors and wearable devices. These findings provide theoretical contributions by extending the unified theory of acceptance and use of technology (UTAUT) model and offering practical implications for manufacturers and policymakers to tailor strategies that foster positive attitudes, enhance trust, and address generational and device-specific differences in healthcare technology adoption.
A Petri Net and LSTM Hybrid Approach for Intrusion Detection Systems in Enterprise Networks
Authors: Volpe Gaetano , Fiore Marco , la Grasta Annabella , Albano Francesca , Stefanizzi Sergio , Mongiello Marina , Mangini Agostino Marcello
Published: December 2024

Intrusion Detection Systems (IDSs) are a crucial component of modern corporate firewalls. The ability of IDS to identify malicious traffic is a powerful tool to prevent potential attacks and keep a corporate network secure. In this context, Machine Learning (ML)-based methods have proven to be very effective for attack identification. However, traditional approaches are not always applicable in a real-time environment as they do not integrate concrete traffic management after a malicious packet pattern has been identified. In this paper, a novel combined approach to both identify and discard potential malicious traffic in a real-time fashion is proposed. In detail, a Long Short-Term Memory (LSTM) supervised artificial neural network model is provided in which consecutive packet groups are considered as they flow through the corporate network. Moreover, the whole IDS architecture is modeled by a Petri Net (PN) that either blocks or allows packet flow throughout the network based on the LSTM model output. The novel hybrid approach combining LSTM with Petri Nets achieves a 99.71% detection accuracy—a notable improvement over traditional LSTM-only methods, which averaged around 97%. The LSTM–Petri Net approach is an innovative solution combining machine learning with formal network modeling for enhanced threat detection, offering improved accuracy and real-time adaptability to meet the rapid security needs of virtual environments and CPS. Moreover, the approach emphasizes the innovative role of the Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) as a form of “virtual sensing technology” applied to advanced network security. An extensive case study with promising results is provided by training the model with the popular IDS 2018 dataset.
Deep Learning Calculation and Application of Axle Loads in Highway Sensor Data
Authors: Zhang Lukai , Wang Xiaoya , Wang Yingping
Published: December 2024

Axle load data and traffic survey data are both important outputs of highway sensors. This study targets highways and ordinary national and provincial highways, seeking to calculate axle load spectrum and equivalent axle times across the network. There is often an association in the spatial extent of traffic survey data and axle load detection data in highway networks. Initially, using the Highway Asphalt Pavement Design Specification, it analyzes the demand for these calculations in road sections. Considering the current axle load detection coverage, a method supported by highway traffic data is proposed. For integrating multi-source data, a generalized regression neural network model is established, enabling deep learning calculations. The method is validated and applied to Xuzhou’s highway network. Results show consistency between the calculated average axle load spectrum and actual data. Among validation samples, 3-axle vehicles exhibit the smallest deviation, while 6-axle vehicles show the largest. Calculating equivalent axle numbers reveals the distribution and grading of heavily loaded road sections, aiding maintenance decisions.
Utility of ChatGPT and Large Language Models in Enhancing Patient Understanding of Urological Conditions
Authors: Mak Gerald , Siriwardena Charitha , Haxhimolla Hodo , Chan Rex , Hart Kieran , Mare Anton , Kahloon Muhammad , McCredie Simon , Gilbourd Daniel
Published: December 2024

Objectives: Large language models such as ChatGPT have been used to generate text in a conversational manner, and may be of use in providing patient information in a urological setting. This study evaluated the accuracy, presence of omissions, and preferability of traditional patient information to the large language models ChatGPT and Bing Chat. Methods: Eight common questions regarding urolithiasis and prostate cancer were selected from traditional patient information and posed to ChatGPT and Bing Chat. Responses from all sources were then evaluated by seven urologists in a blinded fashion for accuracy, omissions, and preferability. Results: We found that 96.43% of ratings of traditional patient information sources were rated accurate, compared to 94.6% for ChatGPT and Bing Chat; 7.1% of ratings of traditional patient information were rated as containing harmful omissions, compared to 10.71% for ChatGPT and 21.4% for Bing Chat; and 55.4% of rater first preferences were given to ChatGPT, compared to 35.7% for traditional patient information and 8.9% for Bing Chat. Conclusions: ChatGPT provided responses of a similar accuracy and preferability to traditional sources, highlighting its potential as a supplementary tool for urological patient information. However, concerns remain regarding omissions and complexity in model-generated responses.
Tolerability of Transperineal Prostate Biopsy Under Local Anaesthetic Using Pre-Emptive Over-the-Counter Analgesia: An Interventional Study in Patients with Abnormal Clinical Prostate Findings
Authors: Wang Shelley Ting-Li , Xu Yuxi , Cheng Meredith J. , Jain Anika , Woo Henry H.
Published: December 2024

Objective: Transperineal prostate (TP) biopsy is the key diagnostic tool for evaluating prostate cancer and is feasible under local anaesthetic (LA) alone. However, concerns about its tolerability encourage use of a multimodal analgesia approach. Pre-emptive over-the-counter analgesia with LA may provide a simple and low-risk option. The objective of this study was to investigate the effects of over-the-counter analgesia on TP biopsies conducted under LA. Methods: This interventional single-centre study investigated 160 participants who undertook a TP biopsy under LA, with and without pre-emptive analgesia (1 g of paracetamol and 400 mg of ibuprofen). Pain tolerability was measured using a visual analogue scale (VAS) at three procedural points (probe insertion, LA infiltration, and biopsy); an overall average VAS score was subsequently calculated. The abstracted secondary variables include patient details (age, prostate size, and PSA level), biopsy details (number of cores and volume of LA used), and preferability for LA use in future TP biopsies. An inferential statistical analysis was performed using Wilcoxon’s Rank Sum non-parametric test, Pearson’s test of correlation, and Pearson’s Chi-squared test. Results: The groups were comparable in age, prostate size, and PSA level. Median VAS scores were consistently lower in the intervention cohort, but without statistical significance. A higher volume of LA was associated with lower overall VAS (p = 0.03). LA was strongly preferred over GA for hypothetical future TP biopsies in both cohorts. Conclusions: Pre-emptive analgesia does not significantly improve tolerability of TP biopsy under LA. Our study substantiates evidence that TP biopsy is generally well tolerated under LA and preferred over GA.
RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution
Authors: Tsoulos Ioannis G. , Varvaras Ioannis , Charilogis Vasileios
Published: December 2024

Radial basis function networks are considered a machine learning tool that can be applied on a wide series of classification and regression problems proposed in various research topics of the modern world. However, in many cases, the initial training method used to fit the parameters of these models can produce poor results either due to unstable numerical operations or its inability to effectively locate the lowest value of the error function. The current work proposed a novel method that constructs the architecture of this model and estimates the values for each parameter of the model with the incorporation of Grammatical Evolution. The proposed method was coded in ANSI C++, and the produced software was tested for its effectiveness on a wide series of datasets. The experimental results certified the adequacy of the new method to solve difficult problems, and in the vast majority of cases, the error in the classification or approximation of functions was significantly lower than the case where the original training method was applied.
Modeling Nonlinear Effects in Risk Ratio and Risk Difference Using Poisson and Gaussian Additive Regression Models
Authors: Noma Hisashi , Kitano Takahiro
Published: December 2024

The logistic additive regression model has been a standard method in modeling nonlinear effects for multivariate analyses of binary outcomes in the generalized additive model (GAM) framework. However, the resultant nonlinear estimate of the smooth function is interpreted as a nonproportional increment of the odds ratio in the increment of the explanatory variable. The odds ratio cannot be interpreted as an effect measure by itself; it is only interpretable as an approximation of the risk ratio when the frequency of events is low. In this article, we propose alternative nonlinear regression methods to estimate the risk ratio and risk difference directly. We propose extending Zou’s modified Poisson regression (Am J Epidemiol 159: 702–6) and Cheung’s modified least squares (Gaussian) regression (Am J Epidemiol 166: 1337–44) to the GAM framework and fitting the Poisson and Gaussian additive regression models to binary outcome data. We show that valid nonlinear effects estimates are obtained using these approaches and that they can be easily implemented using existing GAM statistical packages. We also provide valid computational methods for obtaining the standard errors and confidence intervals using a bootstrap method. We illustrate these proposed methods through applications to a breast cancer clinical study.
Benefit-Sharing Mechanism in Cross-Regional Agricultural Product Supply Chain: A Grounded Theory Approach
Authors: Gao Yidan , Zong Yixiang
Published: December 2024

The accelerated development of economic globalization has given rise to the formation of supply chain networks for cross-regional agricultural products. However, the unequal rights and status of the partners and an imperfect benefit linkage mechanism have made it difficult to reasonably distribute and share benefits. Understanding how to establish a benefit-sharing mechanism among partners has been a popular topic in the industry, but thematic research and discussions are lacking in the academic community. Therefore, in this study, we utilized a grounded theory approach and selected five supply chain master enterprises with different supply chain systems as samples. We constructed a theoretical model of a benefit-sharing mechanism and systematically revealed the key elements and theoretical logic of benefit sharing. The results of this study showed that (1) the five elements of benefit creation, benefit integration, benefit distribution, benefit constraint, and benefit coordination have important impacts on benefit sharing in the supply chain; (2) the dimensions within these five elements are independent of each other, and these elements can be combined to demonstrate a common impact on benefit sharing. The dynamic interaction among the five elements constituted a self-regulating and self-optimizing cyclic system; (3) benefit integration and benefit distribution have a dynamic cyclic facilitating effect on benefit sharing. This study has refined the key elements of the benefit-sharing mechanism, and the results provide theoretical references for benefit sharing and in-depth collaboration among supply chain members.
Study on the Characteristics and Operational Mechanisms of Industry–University–Research Collaborative Innovation in Megaprojects: The Case from China
Authors: Zhao Xi , Liu Yuming , Lang Xianyi , Liu Kai , Yang Xiaoxu , Liu Lin
Published: December 2024

Megaproject construction endeavors and technological innovation activities, led by industry–university–research (IUR) collaboration, demonstrate marked disparities in value orientations, implementing entities, and constituent components. These discrepancies lead to a mismatch between innovation demands and actual activities, as well as insufficient innovation motivation among construction entities, subsequently impacting innovation effectiveness and the commercialization of outcomes and failing to adequately support engineering construction needs. In response to this predicament, the academic community widely acknowledges IUR collaborative innovation as a solution. This research integrates fundamental theoretical analysis with a multi-case study approach and systematically dissects the distinctive features at the micro, meso, and macro levels, grounded in the collaborative innovation practices of IUR in three iconic railway engineering projects in China. Subsequently, it unravels the inherent operational mechanics of the IUR collaborative innovation system within large-scale projects. Specifically, at the micro level, the profound engagement of governments and project owners fosters a solid supportive environment and collaborative platform for IUR collaboration, while past successful cooperation experiences among key innovation entities enhance their technological and knowledge interactions. At the meso level, shared industry cognitions and values, hierarchical organizational structures, flexible institutional designs, and resource allocation strategies based on balancing risks and benefits collectively constitute the supporting system for megaproject collaborative innovation. At the macro level, the tight integration of the innovation chain and industrial chain promotes the formation of an open cooperation ecosystem, ensuring the continuity and systematic nature of innovation activities and accelerating the rapid commercialization and efficient utilization of innovation outcomes. This study not only enriches the theoretical connotations of IUR collaborative innovation in the context of major engineering projects but also provides theoretical foundations for strategy formulation and management practices for major project managers, holding significant value in guiding the innovation management of future major engineering projects.
Green Composites in Aviation: Optimizing Natural Fiber and Polymer Selection for Sustainable Aircraft Cabin Materials
Authors: Balo Figen , Sua Lutfu S.
Published: December 2024

The increasing demands on global resources due to technological development driven by consumer expectations and demands have resulted in significant problems with ecological sustainability and material availability. The creation of biocomposites has resulted in notable advancements in the green industry within the materials science area this century, owing to concerns regarding sustainability and the environment. Globally, there is a surge in the creation of highly efficient materials derived from natural resources. In aviation applications, plant fiber-supported polymer composite materials are becoming increasingly popular. Aerospace materials are typically used in aircraft construction as structural materials to support loads throughout different flight phases. There are many diverse mechanical qualities of natural fibers; therefore, selecting one for the interior parts of an aircraft cabin based only on its attributes leads to a multiple-attribute decision-support issue. In this paper, the effective natural fiber and polymer choice for use as reinforcing materials in composite materials is represented as the composite materials’ improvement to aircraft cabin luggage for aerospace implementations. This study can guide material designers in investigating different hybrid materials with the most effective natural fiber and polymer obtained by hierarchical strategy by elucidating the effective material choice to meet the criteria determined for the aircraft cabin luggage. For this purpose, the definitive rankings of the twelve polymers and sixteen natural fibers in terms of performance score were assessed using a hierarchical strategy methodology.
Identification and Assessment of Toxic Substances in Environmental Justice Cases
Authors: Xu Xiaowei , Zhang Dapeng , Zhang Jun , Zhao Zehua , Hua Jing , Wang Yi , Zhang Houhu , Yu Qi
Published: December 2024

This study assessed heavy metal contamination in industrial solid waste (S1, S2, S3, and S4) from the Yangtze River Delta region, employing nine risk assessment methods including total content indices (e.g., Igeo, CF) and speciation indices (e.g., ICF, GCF). Four types of industrial solid waste not classified as hazardous but containing heavy metals were analyzed. Key findings revealed significant variability in risk assessments based on chemical speciation versus total content. For example, while S1, S3, and S4 exceeded background levels, S4 showed higher mobility of Pb, Cr (VI), Cu, Ni, and As despite lower overall content. Elements like Cd and Cr (VI) exhibited discrepancies between total content and speciation-based assessments due to low background values and high toxicity. Multi-element indices (DC, RI) indicated higher pollution degrees compared to speciation indices (GCF, GRI). These results underscore the need for integrating multiple assessment methods to accurately evaluate environmental risks in judicial practices.
Study of the Total Ownership Cost of Electric Vehicles in Romania
Authors: Dulău Lucian-Ioan
Published: December 2024

Due to the significant increase in the number of EVs, this manuscript presents a study of the total ownership cost of electric vehicles in Romania. The total cost of ownership (TCO) includes the initial purchase price, maintenance costs, power prices, and government incentives or subsidies unique to the market in Romania. The TCO was calculated for battery electric vehicles (BEVs) and internal combustion vehicles (ICEs). Several vehicles were selected for the study, representing the models with the highest sales in Romania and a similar price range. The results show that EVs have a lower TCO compared with internal combustion vehicles if the battery replacement cost for EVs is not considered in the analysis. If this cost is considered, the TCO for the BEVs has a significant increase due to the high cost of the battery. Another analysis performed regards the CO2 emissions. These are higher for ICEs compared to BEVs, so the BEVs help reduce emissions.
Plugging-In Caledonia: Location and Utilisation of Public Electric Vehicle Chargers in Scotland
Authors: Davies Kathleen , Hart Edward , Galloway Stuart
Published: December 2024

Electrification of private cars is a key mechanism for reducing transport emissions and achieving net zero. Simultaneously, the development of public electric vehicle (EV) charging networks is essential for an equitable transition to EVs. This paper develops and analyses an extensive, nationally representative dataset of EV-charging sessions taking place on a key public charging network in Scotland between 2022 and 2024 to gain insights that can support the development of public charging infrastructure. Data were collated from 2786 chargers and analysed to establish a detailed characterisation of the network’s organisation and utilisation. The network considered is government-owned and was fundamental to the Scottish rollout of public chargers. Key insights from our analysis of the developed dataset include quantified disparities between urban and rural charger use-time behaviours, with the most rural areas tending to have charging activity more concentrated towards the middle of the day; an analysis of the numbers of deployed chargers in areas of greater/lesser deprivation; utilisation disparities between charger technologies, with 35% of slower chargers being used at least once daily compared to 86% of rapid/ultra-rapid chargers; and demonstration that charging tariff introductions resulted in a 51.3% average decrease in sessions. The implications of our findings for policy and practice are also discussed.
Justice is Served--Review of J Journal, Fall 2009
Authors: Machson-Carter Abby
Published: December 2024

For the second volume of a literary journal, J Journal is off to a good start. Published by John Jay College of Criminal Justice, J calls itself “a journal of new creative writing that poses questions about justice, directly and tangentially.” Receiving it in the mail, I wasn’t sure what to expect – how much mileage could they get out of just one topic? Would it be filled exclusively with essays about the criminal justice system, or would fiction be a part? Could this really be called “literary”?
Investigation of the relationship between depth of anesthesia and blink reflex obtained by electrical stimulation in dogs
Authors: Çetin Mehmet Nur , Sirin Yusuf Sinan
Published: December 2024

The aim of this study was to evaluate the relationship between the blink reflex and general anesthesia in dogs. Dogs brought for castration or ovariohysterectomy without any other problems were included in the study. In dogs anesthetized for the surgical procedure, anesthesia was kept constant at 2.9 MAC. Following the procedure, the supramaximal electrical stimulation was applied to the supraorbital nerve for every 0.1 MAC value decline, beginning at 2.9 end tidal MAC, and blink parameters were recorded from both orbicularis oculi muscles. The latency, amplitude, duration, and differential latency values of blink parameters obtained independently of MAC under general anesthesia were revealed. At the same time, it was also determined which blink parameters were obtained in which MAC value range. Previous studies have shown that the R2 and RC are highly affected by the level of consciousness, and the RC disappears under general anaesthesia. The R2 value was most commonly obtained between 1.1 and 1.0 MAC, but the dogs did not respond to any stimulus when the R2 value was obtained. However, since previous studies have shown that the level of consciousness affects R2 values, it was assumed that surgical anesthesia may have disappeared in the MAC ranges where this value was measured. The MAC value from which the RC value was obtained was found to be 0.88, and it was assumed that it could be accepted as the average MAC value at which the effect of general anesthesia was eliminated for dogs.
Metodologias ativas de ensino: perfil e percepção de preceptores médicos da atenção primária
Authors: Lorena Suélem Barros de , Torres Laura Queiroz , Pessoa Cecília Souza Ávila , Vasconcelos Thâmara Raquell de Souza , Vilela Viviene Maria de Santana , Silva Thaís Carine Lisboa da
Published: December 2024

As metodologias ativas no processo educativo e nas práticas de saúde vêm sendo cada vez mais comuns, assim, orienta-se que o preceptor busque, além de suas competências médicas, habilidades interpessoais e pedagógicas. Diante disso, o objetivo deste estudo é compreender o perfil e a percepção de preceptores médicos da atenção primária acerca do seu papel como docente, bem como a importância da utilização de metodologias ativas. Quanto aos métodos, trata-se de um estudo analítico transversal, realizado entre 2021 e 2022, no município de Recife, com preceptores médicos, por meio da aplicação de questionário tipo Likert. A amostra foi obtida por conveniência. Em relação aos resultados, 31 preceptores aceitaram participar da pesquisa. A idade média foi de 46,8 anos, predominando o sexo feminino. Tinham cerca de 19 anos de formação e 5 anos como preceptores. 23 não realizaram curso preparatório para preceptoria e 18 não tinham experiência na área educacional. Reconhecem, contudo, a importância da preceptoria e a necessidade de implementação de metodologias ativas, porém carecem de formação específica para tal. Dessa forma, os resultados evidenciaram que o contato com as metodologias ativas e a realização de cursos preparatórios são imprescindíveis para que a atividade de preceptoria seja enriquecedora entre alunos e preceptores.
Reabilitação na Atenção Primária à Saúde: síntese das atividades desenvolvidas em experiências abrangentes no Brasil
Authors: Côrtes Ana Flávia dos Santos , Rôla Thiala Santana dos Santos , Jesus Naíra Laís Araújo de , Araújo Marcos Vinícius Ribeiro de , Arce Vladimir Andrei Rodrigues
Published: December 2024

As ações de reabilitação são previstas no trabalho das equipes multiprofissionais que atuam no âmbito da Atenção Primária à Saúde (APS) no Brasil. Faz-se necessário conhecer as experiências de reabilitação desenvolvidas na APS, sobretudo as alicerçadas em uma lógica abrangente, ampliada e social. Assim, este artigo objetiva caracterizar a produção científica, bem como analisar e discutir as principais atividades desenvolvidas em experiências abrangentes de reabilitação desenvolvidas na APS descritas na literatura científica brasileira. Trata-se de estudo de revisão bibliográfica de artigos publicados até o ano de 2020, tendo como fonte de dados as bases SciELO e Lilacs. Foram incluídos 8 artigos, os quais foram submetidos à análise bibliométrica e análise de conteúdo. Observou-se que a produção, ainda incipiente e exploratória, concentra-se na região Sudeste, com importante participação das universidades públicas. Verificou-se coerente predomínio de “Atividades de promoção da saúde, atuação intersetorial e ações sobre o território”, sobretudo relacionadas a pessoas com deficiência, e “Atividades de planejamento, programação e avaliação do próprio trabalho”. Também foram identificadas “Atividades assistenciais e de acolhimento”, “Atividades de capacitação e educação permanente de profissionais” e “Atividades educativas”. Nota-se coerência entre as principais atividades descritas com a perspectiva abrangente, o que possibilita um caminho possível para novas investigações sobre a temática.
Fatores de internamento associados à atividade e à participação social no pós-alta de AVC
Authors: Reis dos Santos Marilucia , Guerreiro Caroline , Gomes Neto Mansueto
Published: December 2024

Introdução. O acidente vascular cerebral (AVC) é uma das doenças mais incapacitantes do mundo. Os aspectos relacionados à atividade e à participação social após a doença são tão preocupantes quanto à mortalidade. Objetivo. Correlacionar os fatores de internamento com a atividade e a participação social de sobreviventes de AVC após a alta. Método. Trata-se de um estudo longitudinal, com indivíduos na fase subaguda após o AVC, que estiveram internados em um hospital de referência em neurologia na rede pública estadual, localizado em Salvador-BA. Os dados primários avaliados no internamento foram à gravidade do AVC, mobilidade torácica, força muscular respiratória, capacidade de tosse, o controle postural e a incapacidade funcional. Os dados secundários foram extraídos dos prontuários e os desfechos, atividade e participação social foram investigados seis meses após a alta. Resultados. A amostra foi composta por 50 voluntários, com média de idade de 58±12 anos, sendo 27 (54%) do gênero feminino; a média da escala NIHSS foi de 5±4, o tempo médio de internamento de 20±13 dias, 42 (84%) com AVC isquêmico e 11 (22%) trombolisados. Cerca de 21 (45%) apresentaram hemiparesia à esquerda e 8 (16%) com heminegligência. Não houve correlação entre os fatores de internamento e os desfechos investigados. Conclusão. Não foi evidenciada relação entre mobilidade torácica, força muscular respiratória, capacidade de tosse, controle postural e a capacidade funcional com a atividade e participação social de sobreviventes de AVC após a alta hospitalar.
CREATION OF A DIGITAL MODEL OF THE MACHINE TOOL THERMAL DEFORMATION SYSTEM
Authors: Polyakov A. , Nikitina I. , Pozevalkin V.
Published: December 2024

The paper presents a methodology for building a digital model of the thermo-deformation system of a machine tool used in the creation of digital twins of machine tools for which their thermoelastic behavior is relevant, based on the solution of the thermoelasticity problem. Ansys Workbench and Ansys Twin Builder platforms are used as special software that allows you to create a digital model. A double-sided face grinding machine was used as an object of modeling, for which experimental studies were conducted ealier. The experimental data allowed us to form the target values of the optimization problem. A general methodology for building a digital model based on the use of the FMI standard for the exchange of dynamic libraries has been developed. The paper shows the practical application of the digital model of the machine tool to solve the problem of identification of the thermo-deformation model of the machine tool. The identification problem was solved in an extremal formulation. The analysis of the effectiveness of the use of six optimization methods is presented: the Quasi-Newton method; Pattern search; Multi-Objective Genetic Algorithm; Mixed-Integer Sequental Quadratic Programming; Adaptive Multiple-Objective; Adaptive Single-Objective. The methods of Mixed-Integer Sequental Quadratic Programming and Adaptive single-Objective were preferred in terms of efficiency. Their application allows to obtain the refined parameters of the model with the error of achieving the target values of modeling less than 2 %.
FEATURES OF URBAN DEVELOPMENT OF TERRITORIES ALONG THE STAROLADOJSKIY CANAL OF THE LENINGRAD REGION
Authors: Ladik E. , Perkova M. , Chernysheva N.
Published: December 2024

The article examines the stages of construction of the Staroladojskiy canal and urban development of the adjacent territories, as well as the features of the architectural and planning structure of the cities of Shlisselburg and Novaya Ladoga. A retrospective analysis of the architectural and planning formation of the cities of Shlisselburg and Novaya Ladoga was carried out, the features of their architectural environment were identified, the current state of cultural heritage objects was analyzed, and objects in need of restoration and adaptation for modern use were identified. Modern urban planning problems in settlements near the Staroladojskiy canal have been identified, including: pollution of water bodies, swamping of the canal bed, leading to its degradation; destruction of cultural heritage sites, lack of identity of the water façade, the presence of dissonant buildings, etc. An assessment of the historical and cultural potential of the territories along the coastline of the Staroladojskiy sanal was carried out and potential support centers for cultural and educational tourism of various levels were identified, the key among which are the cities of Shlisselburg and the city. Novaya Ladoga, as well as the village of Kobona. The directions for the future development of the territories of the cities of Novaya Ladoga and Shlisselburg have been determined. Promising directions for the reorganization of the historical center of Shlisselburg are considered. A proposal has been developed for organizing water tourism routes along the Staroladojskiy sanal with the accompanying development of tourism infrastructure.
QUANTITATIVE CRITERIA FOR ASSESSING FROST RESISTANCE BASED ON THE ANALYSIS OF HYDRODYNAMIC PARAMETERS OF WALL CERAMICS
Authors: Shakurova N. , Doroganov E. , Bessmertnyy V. , Ivleva I.
Published: December 2024

Operational frost resistance is one of the main requirements for building materials. The main factors leading to deterioration of the properties of bricks are freeze-thaw cycles. The most reliable way to check building materials for frost resistance is to test products for freeze-thaw cycles. However, the standard method for determining frost resistance is time-consuming, energy-consuming, and requires the use of expensive and difficult-to-use equipment. The engineering industry is interested in reducing the amount of testing time required to assess frost resistance. Researchers have been working for a long time to create express methods for determining the frost resistance of bricks. The article proposes new quantitative criteria for assessing the frost resistance of wall ceramics based on the hydrodynamic parameters of a porous solid. The proposed methodologies for assessing frost resistance make it possible to take into account the textural properties of porous products. As a result of studying the kinetics of water saturation and water yield of ceramic shards, a pattern of the influence of the hysteresis loop area on the frost resistance of wall ceramics was established. Due to their interrelation, regression equations were obtained for the dependence of the hysteresis loop area on the coefficient of water saturation and water yield. Calculation expressions for frost resistance are proposed, where the frost resistance of brick is estimated by the value of the hysteresis loop area or the coefficient of water saturation and water yield.
El pastoreo en un paisaje aldeano del valle de Tafí (Tucumán, Argentina)
Authors: Chiavassa Arias Stefania , Franco Salvi Valeria L.
Published: December 2024

En este trabajo se presentan los resultados del análisis de distintas líneas de evidencia vinculadas al pastoreo practicado con camélidos sudamericanos en los sitios La Bolsa 1 y La Bolsa 2, en el valle de Tafí (Tucumán), entre los siglos II a.C. y IX d.C. La particularidad de este caso se debe a la ausencia casi total de restos faunísticos en el registro arqueológico, en un contexto en el que dicha práctica fue significativa en la reproducción social de los grupos humanos. En consecuencia, por medio de la articulación del estudio arquitectónico (morfología y modos de construir corrales), la materialidad producida por esta actividad (i.e. huesos, estatuillas, suelos) y el análisis espacial, se pretenden esbozar algunas características de esta práctica llevada a cabo en una aldea agropastoril. Como resultado del desarrollo del pastoreo, los pobladores adoptaron una tradición en la que los animales y sus lógicas contribuyeron a una particular construcción del paisaje en el que los espacios doméstico y productivo estaban integrados.
تحليل زماني-مناطقي لقطاع التمور بالمملكة العربية السعودية
Authors: السليم يوسف عبدالله
Published: December 2024

يهدف هذا البحث إلى دراسة التوزيع الأمثل لإنتاج واستهلاك التمور بين مختلف مناطق المملكة العربية السعودية. وفي هذا البحث، تقسم التمور إلى نوعين : تمور طازجة وتمور مخزنة. ولكي يمكن استخدام أي من هذين النوعين فإنه يجب تحمل تكاليف النقل والمناولة. وتضاف تكلفة التخزين في حالة استهلاك التمور المخزنة. يبدأ موسم جني الثمار للتمور مع بداية شهر أغسطس وينتهي بنهاية شهر أكتوبر. بينما الطلب على التمور مستمر على مدار العام، كنتيجة لهذا، فإن بعض المستثمرين يقومون بتخزين التمر وقت جني الثمار لكي يكون استهلاكها على مدار العام. هذا البحث يبحث النمط المناطقي والزماني للتمور. النتائج تبين التوازن الأمثل يبين إنتاج التمور واستهلاك التمور الطازجة والمخزنة في ثلاث عشرة منطقة في المملكة العربية السعودية.
DESKRIPSI PEMAHAMAN TOLERANSI BERAGAMA SISWA KATOLIK KELAS XII SMA KOLESE DE BRITTO
Authors: Putri Armita Eka , Hendra Alexander
Published: December 2024

Religious tolerance in De Britto High School, Yogyakarta has been developed through curricular and cultural approaches. Religiosity education as a model of religious education in De Britto High School is considered as curriculum approach for tolerance. This approach is supported by several interreligious activities for tolerance conducted by Campus Ministry, such as, interreligious live-in and visiting religious communities. As a Catholic school, De Britto is deeply influenced by Catholic values. This is show in their visions and missions, activities and teachers. One of the interesting facts is that both of the religiosity education teachers are Catholics which certainly influence the way of understanding tolerance. This research aims at describing how students at De Britto High School perceive and understands religious tolerance. To collect the data, researcher employs on observation, interview and Focus Group Discussion. This research uses purposive sampling with some criteria to select informants, such as, Catholic students of class XII, who are active in learning process, and have a broad and open perspective. Based on the data analysis, researcher found three themes. First, tolerance is understood dynamically as both active and passive. Passive tolerance is understood as non-interference tolerance where people are staying in their ghettos. Meanwhile, active tolerance refers to collaboration for common good. Second, tolerance is part of Catholic education influenced by Jesuit perspective which has been the main vision in De Britto High School as a Jesuit school in Yogyakarta. Third, tolerance is part of interreligious dialogue.
IMPLEMENTASI KODE ETIK PEMBINA BIAK KOMISI ANAK KEUSKUPAN SURABAYA
Authors: Nugraha Aditya Bima , Supriyadi Agustinus
Published: December 2024

The purpose of this study is to describe and analyze the definition of Bina Iman Anak Katolik Supervisor, the code of ethics established by the Children's Commission of the Diocese of Surabaya, and its implementation in the Parish of St. Francis of Assisi, Mojorejo. Qualitative research methods were employed, with seven Bina Iman Anak Katolik coaches as informants. The findings reveal that Bina Iman Anak Katolik coaches grasp the code of ethics outlined by the Surabaya Diocese Children's Commission and perceive it as a standard for their training. The code has been effectively implemented, focusing on eight key points: accompanying children during activities, aiding them in liturgical matters, supporting them technically with families and colleagues, integrating them with the community, addressing potential issues, guiding them under leadership, and attending to individual needs.
KAUM MUDA DALAM HIDUP MENGGEREJA DI LINGKUNGAN ST. FILIPUS PAROKI ROH KUDUS SURABAYA
Authors: Prisdiana Theresia Widya , Ardijanto Don Bosco Karnan
Published: December 2024

Basic christian community of St. Philip at the Holy Spirit Parish in Surabaya inhabited by many catholic young people so called catholic young people (Orang Muda Katolik or OMK). Most of the OMK members consist of the students or workers. The busyness of studying and working resulting in many of OMK’s members are not actively involved in the church activities. Most of them rarely and reluctantly participate in the Church activities. They spend most of their holidays and free time with their own friends, and they pay less attention to the Church’s activities. The research was conducted with the aim of identifying  factors (motivation) which are supporting the involvement of OMK in the Church activities, especially in St. Philip basic christian community. OMK's involvement in the church activities is rooted in the sacrament of Baptism. Through this sacrament, OMK is called to take part in the five missions of the Church in the world so called Liturgia, Kerygma, Koinonia, Diakonia, Martyria. This research used qualitative methods. Data collection was carried out by using individual interview techniques. There were 8 members of OMK interviewed for the study. All of those OMK’s members live in St. Philip’s basic christian community.The results of the research  pointed out that the majority of OMK’s members in the basic christian community were less actively involved in church’s activities. This was due to several factors, including OMK’s activities being too boring, busyness of working and studying, and the lack of support of their parents. The results of research also pointed out there was a small number of OMK’s members in the christian community were actively involved in church activities due to the internal and external motivation.
MENGEMBANGKAN BAHASA SIMBOLIK KREATIF UNTUK MENINGKATKAN KETERLIBATAN ORANG MUDA KATOLIK DALAM KATEKESE
Authors: Tjahaja Liria
Published: December 2024

Catechesis must answer to the challengs of era in order to help people experience the presence of God in life which is increasingly complex. This article suggests the use of symbolic language which is creative as a contemporary approach in catechesis, especially for reaching the Catholic youth. Through the narative Catechesis model that has been renewed, researchers want to reveal that symbolic language can touch the inner hearts and as the some time to push the active participation of the youth. By utilising the digital development, this article offers an innovative strategy in preaching the faith teaching, applying the relevant way and interesting to the youth in this era.
Comparison of the Clinical Outcomes of Early Enteral Nutrition Versus Convenience Diet by Tube Feeding Following Laryngectomy in Chinese Patients
Authors: Guo Jing , Kong Ya , Liu Jie , Fan Yang , Sun Hai Lan , Wang Jia Jia , Lu Zong Liang , Jiang Bao Quan , Yang Jian , Chen Ji Chuan , Xu Hong Xia
Published: December 2024

The purpose of the present study was to evaluate the efficiency of early enteral nutritional support in patients undergoing laryngectomy. We retrospectively reviewed and analyzed 329 laryngeal cancer patients who underwent total or partial laryngectomy from November 2003 to July 2013 in our hospital. Of those patients, 278 were given enteral nutrition (EN group) with elemental formulations through a nasogastric tube beginning within 24 hours after the surgery, while 51 chose not to receive the elemental formulations and were on a homogenate diet (convenience diet group, CD group), which was also given through a nasogastric tube. The clinical outcomes were compared between the two groups. Thirteen patients in the EN group (13/278, 4.68%) and six patients in the CD group (6/51, 11.76%) developed fistulas. The difference was statistically significant (P < 0.046). The differences in the post-surgical infection rate, average length of hospitalization and other clinical indicators between the two groups were not statistically significant. In conclusion, early enteral nutrition should be recommended in patients undergoing laryngectomy, and convenience diet is not as effective as the commercial formulation in reducing the risk of fistula formation.