bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep Recyclable Trash Sorting Using Integrated Parallel Attention
Authors: Lin Hualing , Zhang Xue , Yu Junchen , Xiang Ji , Shen Hui-Liang
Published: October 2024

Sorting recyclable trash is critical to reducing energy consumption and mitigating environmental pollution. Currently, trash sorting heavily relies on manpower. Computer vision technology enables automated trash sorting. However, existing trash image classification datasets contain a large number of images without backgrounds. Moreover, the models are vulnerable to background interference when categorizing images with complex backgrounds. In this work, we provide a recyclable trash dataset that supports model training and design a model specifically for trash sorting. Firstly, we introduce the TrashIVL dataset, an image dataset for recyclable trash sorting encompassing five classes (TrashIVL-5). All images are collected from public trash datasets, and the original images were captured by RGB imaging sensors, containing trash items with real-life backgrounds. To achieve refined recycling and improve sorting efficiency, the TrashIVL dataset can be further categorized into 12 classes (TrashIVL-12). Secondly, we propose the integrated parallel attention module (IPAM). Considering the susceptibility of sensor-based systems to background interference in real-world trash sorting scenarios, our IPAM is specifically designed to focus on the essential features of trash images from both channel and spatial perspectives. It can be inserted into convolutional neural networks (CNNs) as a plug-and-play module. We have constructed a recyclable trash sorting network building upon the IPAM, which produces an acuracy of 97.42% on TrashIVL-5 and 94.08% on TrashIVL-12. Our work is an effective attempt of computer vision in recyclable trash sorting. It makes a positive contribution to environmental protection and sustainable development.
Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis
Authors: Espina-Romero Lorena , Gutiérrez Hurtado Humberto , Ríos Parra Doile , Vilchez Pirela Rafael Alberto , Talavera-Aguirre Rosa , Ochoa-Díaz Angélica
Published: October 2024

This study explores the evolution and impact of research on the challenges and opportunities in the implementation of artificial intelligence (AI) in manufacturing between 2019 and August 2024. By addressing the growing integration of AI technologies in the manufacturing sector, the research seeks to provide a comprehensive view of how AI applications are transforming production processes, improving efficiency, and opening new business opportunities. A bibliometric analysis was conducted, examining global scientific production, influential authors, key sources, and thematic trends. Data were collected from Scopus, and a detailed review of key publications was carried out to identify knowledge gaps and unresolved research questions. The results reveal a steady increase in research related to AI in manufacturing, with a strong focus on automation, predictive maintenance, and supply chain optimization. The study also highlights the dominance of certain institutions and key authors driving this field of research. Despite the progress, significant challenges remain, particularly regarding the scalability of AI solutions and ethical considerations. The findings suggest that while AI holds considerable potential for the manufacturing industry, more interdisciplinary research is needed to address existing gaps and maximize its benefits.
A Novel Approach to Estimating Greenhouse Gas Emissions from Federal Highway Construction Projects in Brazil
Authors: dos Santos Bruno Vendramini , Rêgo João Henrique da Silva
Published: October 2024

In Brazil, the maintenance and expansion of the federal road network conflict with the country’s climate neutrality goals. The National Department of Transportation Infrastructure (DNIT), responsible for Brazil’s federal highways, lacks tools to assess and mitigate greenhouse gas (GHG) emissions from its projects, which can be achieved through the life cycle assessment (LCA) methodology. Additionally, the scarcity and insufficient quality of environmental data on Brazilian road materials led to using foreign databases in LCA studies conducted in Brazil, generating uncertainties in the results. This research aims to apply LCA to analyze the GHG emissions from highway projects developed by DNIT. The analysis covers the phases of material production, transportation, and construction. Additionally, this study investigates the influence of the leading project disciplines on the results and the differences in outcomes resulting from the use of local Portland cement compared to its equivalent produced in the United States of America (USA) and Europe. The results indicate that the materials production phase has the most significant impact on the project’s global emissions, contributing over 78% in all scenarios. The transportation phase accounts for more than 16% of global emissions, with the potential for greater contributions depending on project transportation distances. Environmental data showed that foreign cement increased the project’s global emissions by 7.31% (Europe) and 12.91% (USA), with the most significant differences observed in pavement disciplines. In all scenarios, the discipline of new pavement presented the highest unitary emissions, followed by the discipline of restored pavement, which showed average values 58% lower than the former, and earthworks. Other services, drainage, and special structures disciplines showed minimal influence on the results. In conclusion, this research proposes an approach to estimate the environmental impact of Brazilian federal highway projects, enabling early mitigation of GHG emissions during the design phase, focusing on critical disciplines and materials, and highlighting potential distortions associated with the use of environmental data from foreign cement in LCA studies of Brazilian highways. Finally, considerations are presented regarding improving and expanding the scope of the calculation methodology used in this study, allowing for a more comprehensive and accurate analysis of the environmental impacts associated with the Brazilian federal road network.
Socio-Eco-Efficiency in Agroforestry Production Systems: A Systematic Review
Authors: Luna-Vargas Salvador , Pensado-Leglise Mario del Roble , Rosano-Peña Carlos , Marques-Serrano André Luiz
Published: October 2024

Eco-efficiency has emerged to reduce environmental impacts and improve competitiveness in various industries, including agriculture. However, the application of eco-efficiency in agroforestry, incorporating social variables, is a relatively recent development. This study conducted a review of the scientific literature on eco-efficiency to address key questions. The analysis utilized the Web of Science Core Collection database, focusing on categories such as sustainable eco-efficiency, agricultural eco-efficiency, forestry eco-efficiency, and socio-eco-efficiency. The objective of this work is to offer a bibliometric analysis on socio-eco-efficiency in agroforestry production systems. The results revealed three stages in eco-efficiency research: an initial stage with low publication numbers, a second stage marked by significant growth and a focus on sustainable development, and a third stage characterized by rapid growth and increasing interest. In the field of agricultural eco-efficiency, there has been a recent increase in publications, reflecting the growing importance of agriculture in eco-efficiency analyses. China emerged as the leading country in terms of scientific advancements in eco-efficiency. The study also identified key research areas and institutions contributing to the literature on agricultural eco-efficiency. Overall, the findings highlight the expanding interest and future potential of socio-eco-efficiency in agroforestry research.
Spatial Web-Interactive Impact Assessment Tool: Affordable Smart City Real Estate
Authors: Torabi Moghadam Sara , Al Mamlouk Dana , Lombardi Patrizia
Published: October 2024

The evaluation of smart affordable cities considering sustainable subsystems improves urban quality of life through efficient resource usage, reduced environmental impacts, and improved living conditions for residents. This study aims to develop an interactive and dynamic Web Geographic Information System (GIS) framework to facilitate decision-making processes during the design phase while including third parties and stakeholders using a spatial interactive impact assessment approach. The methodology follows a quantitative research method based on delivering a tool that could be replicated in other contexts. This tool assesses the impact of smart scenarios to support affordable city planning through selecting Key Performance Indicators (KPIs). This tool was applied to Brazilian large-scale affordable housing within a smart city project. Based on this study, the conclusion reports some research limitations and the possibility of creating a beta version of the tool for future development. The findings show that this Web-GIS framework enhances stakeholder engagement and the effectiveness of decision making in developing sustainable urban planning.
Soil Properties Classification in Sustainable Agriculture Using Genetic Algorithm-Optimized and Deep Neural Networks
Authors: Tynchenko Yadviga , Tynchenko Vadim , Kukartsev Vladislav , Panfilova Tatyana , Kukartseva Oksana , Degtyareva Ksenia , Nguyen Van , Malashin Ivan
Published: October 2024

Optimization of land management and agricultural practices require precise classification of soil properties. This study presents a method to fine-tune deep neural network (DNN) hyperparameters for multiclass classification of soil properties using genetic algorithms (GAs) with knowledge-based generation of hyperparameters. The focus is on classifying soil attributes, including nutrient availability (0.78 ± 0.11), nutrient retention capacity (0.86 ± 0.05), rooting conditions (0.85 ± 0.07), oxygen availability to roots (0.84 ± 0.05), excess salts (0.96 ± 0.02), toxicity (0.96 ± 0.01), and soil workability (0.84 ± 0.09), with these accuracies representing the results from classification with variations from cross-validation. A dataset from the USA, which includes land-use distribution, aspect distribution, slope distribution, and climate data for each plot, is utilized. A GA is applied to explore a wide range of hyperparameters, such as the number of layers, neurons per layer, activation functions, optimizers, learning rates, and loss functions. Additionally, ensemble methods such as random forest and gradient boosting machines were employed, demonstrating comparable accuracy to the DNN approach. This research contributes to the advancement of precision agriculture by providing a robust machine learning (ML) framework for accurate soil property classification. By enabling more informed and efficient land management decisions, it promotes sustainable agricultural practices that optimize resource use and enhance soil health for long-term ecological balance.
Bibliometric Analysis of Global Research on Port Infrastructure Vulnerability to Climate Change (2012–2023): Key Indices, Influential Contributions, and Future Directions
Authors: Santos Juliana Sales dos , Parise Cláudia Klose , Duarte Lia , Teodoro Ana Cláudia
Published: October 2024

This article analyzes the climate vulnerability of seaports through a bibliometric review of 45 articles published between 2012 and 2023. The research highlights the increase in publications focusing on the vulnerability of port infrastructure to climate impacts, a topic that previously received less attention compared to operational, economic, and logistical factors, which are frequently discussed in the existing literature. The analysis reinforces the relevance of this study, with the United States, Spain, and the United Kingdom emerging as the most influential countries in this research area. This article also reveals the predominance of methods based on the Coastal Vulnerability Index (CVI), which includes ports in its assessments, and emphasizes the need to develop a more robust index for evaluating port vulnerability. Additionally, it discusses current topics, such as sea level rise and the use of global climate models and suggests future research directions to enhance the assessment of port vulnerability in the face of climate change.
Autogenous Tooth Graft Biomaterial in Guided Bone Regeneration: A Comprehensive Review
Authors: Picone Aurora , Castro Filipe , Falcão Artur , Medina Jesus Glez , Minetti Elio , Fernandes Juliana Campos Hasse , Fernandes Gustavo Vicentis Oliveira
Published: October 2024

Objective: This review evaluated the use of autogenous tooth as a bone graft material in guided bone regeneration (GBR). Moreover, it compared the results of GBR using autogenous demineralized dentin, partially demineralized dentin, and mineralized dentin with or without membrane to verify its clinical advantage, effectiveness, and safety. Methods: A search was conducted in PubMed/MEDLINE, Lilacs, Embase, Cochrane, and Scopus databases. Specific criteria were established for the inclusion and exclusion of studies, including types of studies considered, target population (clinical studies: humans), evaluated intervention (studies assessing and comparing autologous demineralized dentin, partially demineralized dentin, and mineralized dentin in GBR with or without resorbable membrane), and language and publication period of articles (English and published in the last 11 years). A detailed assessment of the methodological quality of the selected studies was conducted using the JBI critical appraisal tool. Results: Based on the analysis conducted, out of 174 potentially relevant articles obtained, only 19 publications met the inclusion criteria, with three papers showing medium quality/moderate risk of bias and the rest with high quality/low risk of bias. Comparison between groups revealed stability of the newly formed bone, low marginal bone loss, clinically acceptable primary and secondary implant stability quotient (ISQ) values, and high implant survival rates after using autogenous tooth biomaterial. Conclusions: The results of this review on the use of autogenous teeth as a bone graft material in guided bone regeneration indicated that the technique has the potential to be an effective and safe treatment option. Analysis of selected studies showed favorable evidence for the use of autogenous teeth in bone regeneration, suggesting clinical benefits, most for socket preservation. These results are relevant for guiding clinical practice and assisting dental professionals in having options for biomaterials for bone regeneration.
Stage-Specific Multi-Objective Five-Element Cycle Optimization Algorithm in Green Vehicle-Routing Problem with Symmetric Distance Matrix: Balancing Carbon Emissions and Customer Satisfaction
Authors: Xiang Yue , Guo Jingjing , Mao Zhengyan , Jiang Chao , Liu Mandan
Published: October 2024

This study presents a bi-objective optimization model for the Green Vehicle-Routing Problem in cold chain logistics, with a focus on symmetric distance matrices, aiming to minimize total costs, including carbon emissions, while maximizing customer satisfaction. To address this complex challenge, we developed a Stage-Specific Multi-Objective Five-Element Cycle Optimization algorithm (MOFECO-SS), which dynamically adjusts optimization strategies across different stages of the process, thereby enhancing overall efficiency. Extensive comparative analyses with existing algorithms demonstrate that MOFECO-SS consistently outperforms in solving the multi-objective optimization model, particularly in reducing total costs and carbon emissions while maintaining high levels of customer satisfaction. The symmetric nature of the distance matrix further aids in achieving balanced and optimized route planning. The results highlight that MOFECO-SS offers decision-makers flexible route planning options that balance cost efficiency with environmental sustainability, ultimately improving the effectiveness of cold chain logistics operations.
A Prompt Example Construction Method Based on Clustering and Semantic Similarity
Authors: Chen Ding , Wang Jun
Published: October 2024

With the launch of OpenAI’s ChatGPT, large language models have garnered significant attention, and applications based on these models have proliferated. A critical challenge has emerged: how to rapidly enhance the capabilities of general LLMs in specialized domains. Compared to fine-tuning and other methods, prompt engineering has proven to be a cost-effective approach for improving the performance of LLMs on specific tasks, yielding remarkable results. However, current prompt example construction methods are numerous and lack a universally applicable approach that spans different models and tasks. Furthermore, existing research is predominantly tested and evaluated on a limited range of specific datasets, failing to explore the broader impact of these methods on a wider array of tasks. This paper proposes a prompt example construction method based on clustering and semantic similarity, which combines clustering algorithms with semantic similarity techniques to significantly improve the quality of prompt examples. In comparative tests conducted on six LLMs and seven datasets, the overall accuracy and stability of the proposed method significantly outperforms five other common methods, demonstrating broad applicability and the potential to enhance the output performance of all LLMs. Through comparative experiments, this paper also identifies that as the parameter scale of LLMs increases, the improvement effect of the prompt example construction method on LLM output performance tends to diminish. Additionally, diversified prompt example sets provide a more pronounced enhancement in LLM output performance.
Trend Stability Assessment for Hydrological Drought in Euphrates Basin (Türkiye) Using Triple Wilcoxon Test and Innovative Trend Analysis Methods
Authors: Demirel İbrahim Halil , Kesgin Erdal , Güçlü Yavuz Selim , Tan R. İlayda , Başaran Büşra
Published: October 2024

This study investigates the stability of hydrological drought trends in the Euphrates Basin from 1960 to 2020 using three-dimensional (3D) graphical representations based on innovative trend analysis (ITA) and triple Wilcoxon test (WT) methods. Unlike traditional ITA and WT, which are widely used for trend identification but do not inherently provide trend stability information, this study employs a novel approach to assess and visualize trend stability. The Triple WT method divides the data into three equal segments, examining differences without altering the time series. Drought indices are calculated for 3-month, 6-month, and 12-month time scales using historical streamflow data from five stations. The research identifies trends and their stabilities across three distinct periods: 1967–1984, 1985–2002, and 2003–2020. Results show that as the time scale increases, trend differences between extreme drought conditions diminish. One station consistently exhibits significantly decreasing trends, while three stations show unstable trends with notable variations in the standardized streamflow index (SSFI). The use of 3D-ITA and Triple WT effectively captures the dynamics and stability of drought trends, offering a deeper understanding of hydrological drought in the Euphrates Basin. These findings provide a reference for future studies on drought trend mechanisms in various climatic regions.
Accounting of intangible assets: innovations, discussions and prospects
Authors:   Federal State Autonomous Educational Institution of Higher Education “Lobachevsky State University of Nizhni Novgorod”, Nizhny Novgorod, Russia, Druzhilovskaya T. Y.
Published: October 2024

Starting with the financial statements for 2024, the new federal accounting standard FSBU 14/2022 “Intangible Assets” comes into effect. This standard introduces significant changes to the accounting of intangible assets. The article analyzes and evaluates the innovations of FSBU 14/2022 “Intangible Assets”. The new rules of this standard are compared with the regulations of its predecessor PBU 14/2007 “Accounting for Intangible Assets”, as well as with the rules of IAS 38 “Intangible Assets”. A comparison is made of the methodological approaches of FSBU 14/2022, PBU 14/2007 and IAS 38 regarding the qualification of objects as intangible assets, the initial and subsequent assessment of these assets, and the specifics of their accounting. The advantages and controversial issues of the new rules for accounting for intangible assets in FSBU 14/2022 “Intangible Assets” are substantiated. Recommendations for resolving controversial issues of accounting for intangible assets in the process of further development of accounting are substantiated.
Labor compliance: concept, tasks, regulatory framework
Authors:   Federal State Budget Educational Institution of Higher Education Plekhanov Russian University of Economics, Zatsarinnaya E.I. , Prodanova N.A. ,   Federal State Budget Educational Institution of Higher Education Plekhanov Russian University of Economics
Published: October 2024

The presented study touches upon such a topical issue as labor compliance, which is of particular importance in the context of modern business, where compliance with legal norms is becoming critical for the sustainable functioning of companies. Based on the author’s position, labor compliance is a system of measures and procedures aimed at compliance with labor legislation and regulations governing relations between employers and employees. In the presented study, the authors did not trace the history of the emergence of labor compliance, but also analyzed the main legislative framework regulating it, and also identified mandatory and recommended local documents in the previously designated area.
Increasing the operational efficiency of JCS Perm plant “Mashinostroitel” when implementing digital transformation projects of the enterprise
Authors:   Coordinating Methodological Center for the Implementation of the Digital Economy, Perm plant Mashinostroitel, Тashkinov A.G. ,   Associate Professor, Dept. of Economics and Management of Industrial Production, Perm National Research Polytechnic University
Published: October 2024

The article discusses the theoretical aspects of enterprise digital transformation project management. An interpretation of the term “project of digital transformation of an industrial enterprise” is presented. The methodological aspects of organizational changes in the management structure of enterprises in the context of digital transformation are described. A practical example of the digital transformation project of Perm Mashinostroitel JSC is presented. Within the framework of the applied aspect, taking into account the specifi c features of the enterprise, an example of the implementation of the project “Development and implementation at the enterprise of the catalog “Axial carbide cutting tools” is considered. Drills" with the participation of formed working groups of JSC "Perm Plant "Mashinostroitel"
Analysis and optimization of enterprise business processes in modern conditions
Authors:   RegTrend company, Moscow, Sharonova A.V.
Published: October 2024

The concept of a “business process,” its analysis and optimization, or in other words, reengineering, has recently entered the Russian business dictionary. Until now, many domestic companies have a skeptical attitude towards this process, which is rather attributed to the sphere of interests of large businesses. In fact, absolutely every company has its own set of such processes. Essentially, these are the daily actions of employees aimed at achieving the fi nal result to satisfy the client’s request and the objectives of the business owners.
Digital technologies in teaching English — a useful tool in education?
Authors:   Online school of foreign languages «Gulya_nauchi» Russia, Krasnoyarsk, Veit G.G.
Published: October 2024

In the modern world of technology, the education sector has also undergone inevitable changes, namely, there has been a sharp transition to the online learning format. In this article we will directly consider the use of digital technologies in the context of teaching foreign languages. Indeed, despite the high popularity of the new format in education, opinions are strongly divided: foreign language teachers of the highest categories with half a century of experience deny this format of teaching, while young specialists do not even consider the traditional type of teaching from textbooks in classrooms.
Enhanced Electrochemical Performance of Surface-Nitrided MnO Negative Electrode Materials in Li-Ion Batteries
Authors: Song Cheolhwan , Park Sehyeok , Kim Namgun , Chae Oh B. , Ryu Ji Heon
Published: October 2024

MnO is a negative electrode material that has significant potential for application in high-capacity Li-ion batteries because of its low material cost and the fact that its conversion reaction allows excellent Li storage capability (756 mAh g−1). However, despite its high theoretical capacity, the practical application of MnO is impeded by its low conductivity and the significant volume changes exhibited by the material during lithiation/delithiation. Herein, we report a simple, solvent-free method for synthesizing surface-nitrided MnO by heating a homogeneous mixture of MnO powder and urea in an autogenic reactor. The nitrided layer formed on the surface of the microsized MnO particles acts as a buffer, mitigating volume changes during lithiation and delithiation, and its high conductivity reduces the charge-transfer resistance of MnO. These enhanced properties collectively serve to optimize the electrochemical performance of MnO electrodes. In Li/MnO cell tests (for a 50.0 wt% urea sample), the MnO surface is converted into electrochemically inert Mn2N0.86 during synthesis. It exhibits a slight reduction in reversible capacity but demonstrates significantly improved cyclability and rate capability when compared to bare MnO. This improvement is attributed to the ability of the nitrided layer to stabilize the electrode structure and facilitate more efficient charge transfer. We expect the results of this study to provide insights into simple surface-coating methods and facilitate the application of conversion-type anode materials (such as MnO) in high-capacity Li-ion batteries.
Reverse-Pulse Charging Method of Lithium Batteries for Stable Charging at Low Temperatures
Authors: Lee Jaein , Ha Sang-Hyeon , Yoon Hyunki , Baek Jaeil , Kim Jae-Sang , Moon Gun-Woo
Published: October 2024

Traditional lithium-ion battery (LIB) charging methods that are stable and fast at room temperature do not guarantee high performance at low temperatures because the impedance of LIBs changes at low temperatures. Most existing methods for stable charging at low temperatures require additional LIB terminals to sense lithium plating or require a long charging time because the average current is gradually lowered. This paper proposes a reverse-pulse current charging method to charge LIBs faster than existing charging methods at low temperatures in a safer manner. The proposed method overcomes the limitations of existing low-temperature charging methods, such as the need for additional terminals and long charging times, primarily because the proposed method does not require sensing of lithium plating and is set to have the same values of average current values as the constant current (CC). Simulations and experiments verify the effectiveness of the proposed charging method at low temperatures. The proposed method improves the capacity fade rate of traditional CC charging by 61% while maintaining the charging speed, enabling stable and fast charging for LIBs.
PROSPECTS FOR THE INTRODUCTION OF A SUBSYSTEM FOR ENSURING PRIORITY PASSAGE OF VEHICLES IN ITS URBAN AGGLOMERATIONS
Authors:   Closed Joint Stock Company Group of Companies «NAVIGATOR», Semkin Aleksandr Nikolayevich
Published: October 2024

The author of the article presents the results of work on improving algorithms for providing priority travel for public passenger transport, based on the analysis of regulatory information, as well as on the basis of theoretical and experimental studies on the use of global navigation satellite systems, and those that have found application in the practical field.
METHODOLOGIES FOR ASSESSING TRAFFIC SAFETY ALONG THE ROUTE OF COMMERCIAL VEHICLES
Authors:   Platov South-Russian State Polytechnic University, Efimov Artem Dmitrievich , Alibagandov Alibagand Omarovich ,   Platov South-Russian State Polytechnic University, Savchenko Yuri Ivanovich ,   Platov South-Russian State Polytechnic University, Skrinnikov Evgeny Valeryevich ,   Platov South-Russian State Polytechnic University
Published: October 2024

The analysis of methods for assessing traffic safety on highway sections of commercial vehicle routes is carried out. A universal methodology that takes into account the complex influence of all components of the DCRE system on ensuring the quality of the transportation process and cargo safety in the current conditions is proposed.
Impact of an SMS intervention to support type 2 diabetes self-management: DiabeText clinical trial
Authors: Zamanillo-Campos Rocío , Fiol-deRoque María Antonia , Serrano-Ripoll María Jesús , Llobera-Canaves Joan , Taltavull-Aparicio Joana María , Leiva-Rus Alfonso , Ripoll-Amengual Joana , Angullo-Martínez Escarlata , Socias-Buades Isabel María , Masmiquel-Comas Lluís , Konieczna Jadwiga , Zaforteza-Dezcallar María , Boronat-Moreiro María Asunción , Mira-Martínez Sofía , Gervilla-García Elena , Ricci-Cabello Ignacio
Published: October 2024

Background

Complications arising from uncontrolled type 2 diabetes mellitus (T2DM) pose a significant burden on individuals’ wellbeing and healthcare resources. Digital interventions may play a key role in mitigating such complications by supporting patients to adequately self-manage their condition.

Aim

To assess the impact of DiabeText, a new theory-based, patient-centred, mobile health intervention integrated with electronic health records to send tailored short text messages to support T2DM self-management.

Design and setting

A pragmatic, phase-three, 12-month, two-arm randomised clinical trial involving primary care patients with T2DM in the Balearic Islands, Spain, including in urban and rural areas.

Method

In total, 742 participants with suboptimal glycaemic control (glycated haemoglobin [HbA1c] level >7.5) were randomly allocated to a control (usual care) or intervention (DiabeText) group. In addition to usual care, the DiabeText group received 167 messages focused on healthy lifestyle and medication adherence. The primary outcome was HbA1c level. Secondary outcomes were: medication possession ratio; health-related quality of life (measured using the EQ-5D-5L questionnaire); diabetes self-efficacy (measured using the Diabetes Self-Efficacy Scale [DSES]); and self-reported adherence to medication, Mediterranean diet (measured using the 14-Item Mediterranean Diet Adherence Screener [MEDAS-14]), and physical activity (measured using the International Physical Activity Questionnaire [IPAQ]).

Results

Over the 12-month period, no statistically significant differences in HbA1c were observed between the intervention and the control groups (ß = −0.025 [95% confidence interval {CI} = −0.198 to 0.147;P= 0.772]). In comparison with the control group, the DiabeText group showed significant (P<0.05) improvements in self-reported medication adherence (odds ratio = 1.4; 95% CI = 1.0 to 1.9), DSES (Cohen’sd= 0.35), and EQ-5D-5L (Cohen’sd= 0.18) scores, but not for the rest of the secondary outcomes.

Conclusion

DiabeText successfully improved quality of life, diabetes self-management, and self-reported medication adherence in primary care patients with T2DM. Further research is needed to enhance its effects on physiological outcomes.
Evolução do Homo sapiens frente o desenvolvimento tecnológico
Authors: Farias Andréia Aparecida Reichert , Vetorazzi Valeria Cristina Rufo
Published: October 2024

Ao decorrer da história o uso da tecnologia ajudou a humanidade superar limitações e transformar sua relação com a natureza. Novos mecanismos cognitivos adquiridos ao longo do tempo, colaboraram com o desenvolvimento das atividades humanas. Logo, o presente artigo tem por objetivo avaliar como o cérebro humano através das suas capacidades mentais descobre novos conhecimentos, produz pensamentos, sentimentos e ações aptas a criar tecnologias que assegurem sua sobrevivência. Visto que o avanço da tecnologia pode modificar o processo histórico e a relação do ser humano com a sociedade, realizou-se um estudo entre as revoluções cognitiva, científica e industrial a fim de analisar o desenvolvimento da tecnologia do Homo sapiens em cada período. Por fim, após o levantamento bibliográfico na plataforma Google Acadêmico e consulta à literatura científica discutiu-se entre a evolução biológica natural e a evolução artificial sob domínio da própria tecnologia.
Estratégias e desafios na inteligência policial: otimização do uso de veículos apreendidos e com perdimento judicial para operações sigilosas
Authors: Simões Alex Ferreira , Barbosa Deoclécio Aires
Published: October 2024

Considerando os desafios enfrentados pela inteligência policial no Brasil, particularmente no contexto da Polícia Militar do Paraná (PMPR), este trabalho explora as limitações na adequação de veículos para operações de inteligência e propõe soluções baseadas na Lei nº 11.343/2006, na Instrução Normativa nº 006/2021 do DETO e na Instrução Normativa nº 133/2022 - P-GP/ CGJ/MPPR/SESP/DETRAN. Objetiva-se analisar como a utilização de veículos apreendidos e com perdimento judicial pode melhorar a eficiência operacional e reduzir custos, ajustando-se às necessidades específicas das operações de inteligência, que requerem discrição e adaptabilidade. Para tanto, procede-se à revisão das regulamentações existentes e à proposição de alternativas que visam flexibilizar as normas de incorporação de veículos. Desse modo, observa-se que a atual rigidez das regras muitas vezes não atende às particularidades das missões de inteligência, limitando a eficácia operacional. A conclusão é de que ajustes nas políticas e maior flexibilidade regulatória são essenciais para otimizar os recursos e aprimorar as operações de inteligência. A adoção dessas medidas pode resultar em uma melhor utilização dos veículos e em operações policiais de inteligência mais eficazes, contribuindo significativamente para a segurança pública.
Manejo e terapias alvo para Leucemia mieloide crônica: uma revisão das opções atuais e suas perspectivas futuras
Authors: Martins Isabella Mara Campos , Oliveira Daiane Taís Gomes de , Garcia Pedro Roberto Bandeira , Silveira Letícia Meira
Published: October 2024

Introdução: A Leucemia mieloide crônica (LMC) é uma neoplasia mieloproliferativa que abrange aproximadamente 15% dos casos recém-diagnosticados de leucemia em adultos. O avanço no entendimento dos mecanismos moleculares da LMC possibilitou o desenvolvimento dos inibidores da tirosina quinase (ITQs), que revolucionaram seu tratamento. Pesquisas recentes sugerem que terapias futuras poderão focar, além da inibição da BCR-ABL1,  em outros mecanismos celulares e moleculares para melhorar o manejo dessa patologia. Objetivo: Este artigo revisa as indicações mais recentes sobre o uso de ITQs e terapias emergentes. Além disso, pretende-se identificar lacunas na literatura e sugerir direções para futuras pesquisas, visando melhorar o tratamento e buscar uma cura funcional. Métodos: Foi realizada uma busca nas bases de dados PubMed, SciELO e LILACS. Os principais descritores utilizados foram “Leucemia Mieloide Crônica”, “Terapias Alvo”, “Tratamento”, "Inibidores de Tirosina-Quinase", "Manejo Terapêutico" e "Terapia Molecular". Foram selecionados 11 artigos publicados entre 2014 e 2024, disponíveis nos idiomas português, inglês e espanhol, incluindo ensaios clínicos, revisões sistemáticas, estudos de coorte e relatos de casos.  Discussão: A criação dos ITQs aumentou a sobrevida dos pacientes e consolidou-se como primeira linha de tratamento. Uma nova droga foi inserida no tratamento da LMC nos EUA, a amecetaxina e outras, como o HGPI35I (olverembatinibe) e o PF-114, estão em fase de estudos. Além disso, tem-se avaliado algumas drogas para serem associadas aos ITQs para melhor resposta ao tratamento da LMC, dentre elas estão os agonistas PPAR-y (tiazolinediones),  o interferon alfa e a hidroxiureia. Por fim, a interrupção do uso prolongado dos ITQs está sendo analisada em pacientes com remissão significativa. Conclusão: O tratamento da Leucemia Mieloide Crônica (LMC) sofreu grande avanço com a implementação dos ITQs, sendo o imatinibe a primeira escolha nos tempos atuais. A refratariedade ao tratamento, devido à mutação t315I no gene BCR-ABL, ainda é um desafio. E, a única terapêutica de caráter curativo segue sendo o transplante de alogênico de células.
Correlação entre o uso crônico de cannabis inalada e o desenvolvimento de doenças pulmonares: uma revisão integrativa
Authors: Salomão Carolina Uehara , Sá Yasmim Santos , Costa Beatriz Patriota Saraiva , Godoy Icaro Messeguer Pereira , Santos Eloisa Faggiani , Frizzo Rafael , Oliveira Tales Lyra de
Published: October 2024

Introdução: O crescente uso recreativo da cannabis, popularmente conhecida como maconha, impulsionado pela sua legalização em diversas regiões, tem gerado preocupação quanto aos seus impactos na saúde. A Cannabis sativa, variedade mais conhecida da cannabis, contém compostos notáveis como o tetrahidrocanabinol (THC) e o (canabidiol) CBD, que afetam o organismo de maneiras distintas e podem estar relacionados a diversas complicações respiratórias. Metodologia: Foi realizada uma revisão integrativa da literatura, abrangendo estudos publicados entre 2012 e 2022, nas bases de dados PubMed e LILACS. Após uma triagem inicial, 46 estudos foram identificados, dos quais 9 foram excluídos por não atenderem aos critérios de idioma ou por duplicação. Outros 10 estudos foram descartados por não estarem alinhados aos objetivos da revisão. Ao final, 27 artigos foram selecionados e analisados, fornecendo uma base sólida para a análise das evidências. Resultados: A presente revisão revelou uma forte correlação entre o uso prolongado de cannabis e um aumento significativo no risco de doenças pulmonares. Vários estudos evidenciaram que fumar cannabis a longo prazo está associado a sintomas como aumento da produção de escarro, tosse crônica e risco elevado do desenvolvimento de câncer de pulmão. Além disso, o uso de vaping com produtos à base de cannabis foi associado a sintomas respiratórios agudos, como falta de ar e sibilos. Conclusão: O uso crônico de cannabis, sobretudo nas formas concentradas ou combinadas ao tabaco, apresenta potenciais riscos à função pulmonar. Dessa forma, estes achados sublinham a necessidade de políticas públicas eficazes para mitigar esses impactos adversos.
Abordagem cirúrgica da diverticulite aguda
Authors: Carvalho Fernanda Ferreira de , Alves Mayara Lorrane da Silva , Nicolau Gelmária Leoneide Servano e Dias , Rodrigues Karen Simone Fizinus , Reis Cynthia dos , Minucelli Fernanda , Borges Lara Muniz , Fracaroli Paulo Vitor Leonel , Arndt Ana Laura Leonel Fracaroli , Rocha Paula Dávinny Alves Amorim , Rocha Tiago Santos , Melo Thays Linhares de , Abreu Karolina Cruz Saldanha de , Bringel Ingryd de Oliveira Martins
Published: October 2024

A Diverticulite Aguda (DA) é definida como uma inflamação aguda devido à microperfuração de um ou mais divertículos. Os divertículos são protusões da parede intestinal que se apresentam em forma de sacos e afetam principalmente o cólon sigmóide. A patologia é caracterizada por manifestações, como: dor abdominal com predomínio no quadrante inferior esquerdo, com ou sem febre e associada a mudanças no hábito intestinal, como diarréia ou constipação. Além da dor abdominal, podem estar associados: náuseas, vômitos, flatulência e inchaço. A diverticulite pode ser dividida em não complicada e complicada. As complicações podem estar presentes em 8 a 35% dos pacientes, sendo as mais comuns o fleimão ou abcesso, seguidas por perfuração, peritonite, obstrução e fistula. Aponta-se o tratamento cirúrgico com papel fundamental no manejo da diverticulite aguda complicada, sendo indicado, basicamente, nos pacientes que apresentam diverticulite classificada como Hinchey III ou IV. Este artigo tem como objetivo, através de uma revisão integrativa, compreender a abordagem cirúrgica da diverticulite aguda. Foram utilizados artigos publicados entre os anos de 2019 e 2024, todos nas línguas portuguesa, inglesa e espanhola, que abordavam a temática “Abordagem cirúrgica da diverticulite aguda”. Por fim, a abordagem da condição varia desde tratamento medicamentoso até intervenções cirúrgicas, dependendo da gravidade e das complicações associadas.   A compreensão   abrangente   de   sua   etiologia, epidemiologia, diagnóstico   e tratamento é crucial para o manejo eficaz e a redução das recorrências e complicações, promovendo uma melhor qualidade de vida para os pacientes afetado.
Saúde mental dos profissionais de saúde após a COVID-19: uma revisão narrativa sobre consequências psicológicas e estratégias de intervenção
Authors: Santos Gerson de Souza , Dourado Kevin Cardoso , Caldas Lyziane Sacramento , Sampaio Ana Júlia Miranda , Cruz Thábata Karinne Rocha , Rocha Kaíque Pereira Alecrim da , Nobreza Ingrid Silva
Published: October 2024

Introdução: O impacto psicológico da pandemia de COVID-19 sobre os profissionais de saúde tem sido um tema crescente de preocupação. Estes profissionais enfrentaram níveis extremos de estresse, ansiedade e burnout, exacerbados pela carga emocional e pelas condições adversas do trabalho durante a crise sanitária. Objetivo: Este artigo tem como objetivo revisar as consequências psicológicas enfrentadas por profissionais de saúde após a pandemia e explorar as estratégias de intervenção empregadas para mitigar esses efeitos. Metodologia: Foi realizada uma revisão narrativa da literatura publicada após a pandemia, enfocando estudos que abordam a saúde mental dos profissionais de saúde e as abordagens de intervenção. A seleção dos artigos seguiu critérios rigorosos, considerando a relevância e a qualidade dos dados apresentados. Resultados: A revisão revelou que os profissionais de saúde apresentaram altas taxas de transtornos psicológicos, incluindo burnout, depressão e transtorno de estresse pós-traumático. Além disso, foram identificadas diversas estratégias de intervenção, como programas de suporte psicológico, treinamentos de manejo de estresse e melhorias nas condições de trabalho. Conclusão: Os resultados indicam a necessidade urgente de implementar medidas de suporte contínuas para os profissionais de saúde, a fim de garantir sua saúde mental e bem-estar a longo prazo. As intervenções devem ser abrangentes e adaptadas às necessidades específicas desta população para serem eficazes.
A doença renal do diabetes e a adesão farmacológica como fator predisponente da insuficiência renal crônica dialítica no Hospital do Rim de Guanambi
Authors: Oliveira Hugo Alejandro Cedro de , Fernandes Gabriel Pereira , Santos Monica Magalhães de Souza , Luz Matheus Cardoso , Fernandes João Pedro , Souza Mateus Xavier
Published: October 2024

Objetivo: O presente estudo possui o objetivo de analisar a doença renal do diabetes (DRD) como fator predisponente da insuficiência renal crônica no Hospital do Rim de Guanambi. Método: Esta pesquisa trata-se de um estudo de caráter descritivo, realizado em 2022, de corte transversal, com análises quantitativas de campo, na cidade de Guanambi, sudoeste da Bahia. A amostra será composta por 59 participantes com doença renal do diabetes de ambos os gêneros, selecionados de forma aleatória. Para a realização da coleta de dados, será utilizado um questionário com perguntas diretas e objetivas elaborado pelos pesquisadores, com supervisão do orientador. Resultados: Ao final do estudo, observou-se que 40,7% dos pacientes tem fundamental incompleto e 18,6% não tem instrução primária. Além disso 52,5% recebem um salário mínimo. A adesão total ao tratamento foi de 89,8% dos pacientes. Em relação ao uso das medicações 23,7% usavam sulfonilureia, e 39% biguanida, em detrimento dos inibidores do SGLT2, em que não se constatou nenhum paciente. Como fatores de risco 89,8% relatam ter hipertensão arterial associada e 54,2% relatam dislipidemia. No que se refere a atividade física 64,4% não praticam regularmente. Conclusão: Portanto, conclui-se que a prevalência da doença renal do diabetes está relacionada com a baixa escolaridade e baixa renda, além disso, notou- se uma baixa utilização da biguanida no tratamento e nenhum relato de utilização do inibidor do SGLT2, fator expressivo no estudo, gerando repercussões negativas no prognóstico do paciente.
Utilização de metodologia ativa para abordagem da significância da vacinação - experiência discente
Authors: Silva Tamyres Eduarda de Oliveira , Oliveira Elias José
Published: October 2024

Esta narrativa de experiência discente relata uma intervenção educativa realizada por graduandas Enfermagem em um ambulatório de pediatria de um Hospital Universitário Terciário do interior do Estado de Minas Gerais no Triangulo Mineiro. O objetivo foi narrar a experiencia das graduandas do curso de enfermagem na sensibilização dos pais e filhos sobre a importância da vacinação na infância. A metodologia adotada foi a Aprendizagem Baseada em Problemas, com a utilização do método Arco de Maguerez como guia para planejamento e execução das intervenções. Foram empregados métodos dinâmicos e didáticos, como: o jogo "Mitos ou Verdades" e histórias para as crianças na promoção de uma compreensão melhor sobre a importância da vacinação e imunização da população em geral. Os resultados mostraram que há conscientização e compreensão por parte dos participantes, evidenciando o potencial das metodologias ativas na afirmação e transformação da compreensão sobre a vacina. A interação com a comunidade proporcionou um desenvolvimento significativo das habilidades dos acadêmicos e promoveu uma troca de conhecimentos entre eles e os participantes. Essa iniciativa destaca a importância da integração e colaboração para disseminar a conscientização sobre os temas da saúde pública, principalmente a vacinação, e promoção de uma educação eficiente e duradoura.
Pré-natal durante a COVID-19 e o papel da atenção primária à saúde: revisão narrativa
Authors: Fortes Amanda Karoliny Meneses Resende , Ferreira Ravena de Sousa Alencar , Miranda Érika Maria Marques Bacelar , Carvalho Adriana Quaresma de Souza , Oliveira Cristiana Pacífico , Sampaio Larissa da Silva , Morais Erica Jorgiana dos Santos de , Costa Jayanne do Nascimento Santana
Published: October 2024

Objetivo: Conhecer na literatura o papel da Atenção Primária à Saúde no pré-natal durante a COVID-19. Metodologia: Trata-se de uma revisão narrativa da literatura, a busca foi realizada nos mês de julho de 2021, na Biblioteca Virtual de Saúde (BVS), usando os seguintes descritores: “Gestantes”, “Cuidado Pré-Natal”, “COVID-19”, “Atenção Primária à Saúde”, para tanto utilizou-se a equação de busca: “(Gestantes) AND (Cuidado Pré-Natal) OR (COVID-19) AND (Atenção Primária à Saúde)”. Resultados: Os estudos foram divididos em duas categorias temáticas: “Desafios do contexto de pandemia para a gestação”, no qual abordou as mudanças que o contexto da pandemia trouxe para as gestantes do pré-natal ao parto especialmente sobre as alterações emocionais sofridas nesse período; “Atuação da Atenção Primária diante da pandemia no período gravídico”, em que os profissionais tiveram que utilizar de estratégias e reorganização do serviço para garantir a oferta do cuidado a esse público , como os agendamentos e uso de teleconsulta. Considerações Finais: As gestantes tiveram que adotar novos cuidados e foram mais expostas a alterações psíquicas e emocionais com sentimentos de medo, ansiedade, preocupações com o recém-nascido. Espera-se que sejam realizadas novas pesquisas para compreender a nova situação de saúde brasileira.