bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved Order Tracking in Vibration Data Utilizing Variable Frequency Drive Signature
Authors: Sawalhi Nader
Published: January 2025

Variable frequency drives (VFDs) are widely used in industry as an efficient means to control the rotational speed of AC motors by varying the supply frequency to the motor. VFD signatures can be detected in vibration signals in the form of sidebands (modulations) induced on tonal components (carrier frequencies). These sidebands are spaced at twice the “pseudo line” VFD frequency, as the magnetic forces in the motor have two peaks per current cycle. VFD-related signatures are generally less susceptible to interference from other mechanical sources, making them particularly useful for deriving speed variation information and obtaining a “pseudo” tachometer from the motor’s synchronous speed. This tachometer can then be employed to accurately estimate the speed profile and to facilitate order tracking in mechanical systems for vibration analysis purposes. This paper presents a signal processing technique designed to extract a pseudo tachometer from the VFD signature found in a vibration signal. The algorithm was tested on publicly available vibration data from a test rig featuring a two-stage gearbox with seeded bearing faults operating under variable-speed conditions with no load, i.e., with minimal slip between the induction motor’s synchronous and actual speed. The results clearly demonstrate the feasibility of using VFD signatures both to extract an accurate speed profile (root mean square error, RMSE of less than 2.5%) and to effectively perform order tracking, leading to the identification of bearing faults. This approach offers an accurate and reliable tool for the analysis of vibration in mechanical systems driven by AC motors with VFDs. However, it is important to note that some inaccuracies may occur at higher motor slip levels under heavy or variable loads due to the mismatch between the synchronous and actual speeds. Slip-induced variations can further distort tracked order frequencies, compromising the accuracy of vibration analysis for gear mesh and bearing defects. These issues will need to be addressed in future research.
Experiences of Gender-Based Violence Victims During COVID-19 Lockdown in the Selected Region F of Gauteng Province, South Africa
Authors: Mbokodo Carol Nontyatyambo , Mudau Azwinndini Gladys , Lebese Rachel
Published: January 2025

Background: Gender-based violence (GBV) remains a significant and entrenched issue affecting various aspects of daily life. Entrenched within South African institutions, cultures, and traditions, GBV disproportionately impacts women and girls, exacerbated by prevailing gender stereotypes and biases. Despite South Africa’s reputation as one of the most difficult countries for women, this assertion is debatable. This study aimed to delve into the firsthand experiences of GBV victims during the COVID-19 lockdown in Region F of Gauteng Province, South Africa. Methods: A qualitative approach and interpretative phenomenological design were used. The setting of the study was a non-governmental organization in Region F of Gauteng Province. The population of women aged 18 to 49 who encountered GBV during the lockdown was sampled. Twelve participants were interviewed through face-to-face unstructured interviews guided by a central question. Thematic analysis was employed to scrutinize the data and ethical protocols and trustworthiness were meticulously observed throughout the study. Results: Findings revealed that GBV victims during the lockdown encountered various challenges, including limited access to transportation, financial constraints, poverty, unemployment, substance abuse, and inadequate welfare services, contributing to heightened suicidal tendencies. Recommendations were formulated based on the research findings.
Effectiveness of Different Neuromuscular Recovery Strategies in Elite Youth Female Football Players
Authors: Sedano Silvia , Maroto-Izquierdo Sergio
Published: January 2025

This study aimed to assess the effectiveness of various active recovery strategies in youth female soccer players during competitive tournaments with limited recovery periods (i.e., 24–48 h). Twenty-two elite under-17 female football players participated in this randomized controlled trial, which encompassed fourteen 90 min official matches. Participants were randomly allocated to one of three recovery protocols: passive stretching, foam rolling, or lumbopelvic mobility exercises, which were implemented ten minutes after each match. Countermovement jump with free arm (CMJA) height was measured pre-intervention, immediately post-intervention, and 5 h post-intervention. Wellness perception was evaluated 24 h later. Significant enhancements in CMJA height were observed immediately after all recovery protocols and at 5 h post-intervention compared with pre-intervention (p < 0.001). The lumbopelvic mobility protocol yielded the most substantial improvement, significantly surpassing both stretching and foam rolling. Moreover, significant increases in wellness perception were observed following the foam rolling (p < 0.001, ES = 0.95) and mobility (p < 0.05, ES = 0.88) protocols, with the mobility protocol demonstrating a marginally larger effect size than stretching. Active recovery strategies significantly enhanced neuromuscular function and wellness perception in under-17 female soccer players. Lumbopelvic mobility exercises exhibited superior efficacy, suggesting that they should be prioritized in post-match recovery regimens.
Employment Challenges and Employment Structure Adjustment of Low-Carbon City Pilot Policies: Evidence from Chinese Enterprises
Authors: Hao Nan , Fan Yating
Published: January 2025

Under the background of global climate change and sustainable development, low-carbon transformation has become an inevitable choice for China and even global economic development. As the cornerstone of social stability and the key to people’s well-being, employment is facing profound changes brought about by low-carbon development. Based on the micro perspective of enterprise behavior change, this paper takes the implementation of China’s low-carbon city pilot policy as an exogenous policy shock and constructs a time-varying difference-in-differences (DID) model to test the impact of the low-carbon city pilot policy on enterprise employment, based on the data of China’s A-share listed enterprises from 2008–2021. The results show that the implementation of low-carbon city pilot policies significantly expands the employment scale of enterprises and increases overall employment by about 6.77%. From the perspective of employment skill structure, it can promote the employment of high-skilled and low-skilled workers. From the perspective of employment position structure, it can promote the employment of production operations personnel, technology research and development personnel, and service and management personnel. These results are still valid after a series of robustness tests. The policy effect is due to the deepening of enterprise capital integration, green investment, technological innovation and vertical specialization. In addition, it is also affected by the differences of enterprise ownership, enterprise scale, industry pollution degree, regional environmental regulation, and market competition degree. Further research shows that low-carbon city pilot policies significantly reduce the share of labor income of employees in heavily polluting enterprises, resulting in the loss of employee welfare. From the perspective of employment, this paper provides more theoretical support and empirical evidence for low-carbon policies to drive changes in micro-enterprise behavior, so as to achieve the sustainable goals of “double carbon” and “stable employment”.
Evaluating the Influence of Environmental, Social, and Governance (ESG) Performance on Green Technology Innovation: Based on Chinese A-Share Listed Companies
Authors: Liang Kun , Cao Zhihong , Tang Sheng , Hu Chunguang , Zhang Maomao
Published: January 2025

In the context of the rapid development of the global economy, promoting corporate economic development while taking into account sustainable development has gradually become the focus of attention of countries around the world. The ESG performance reflects the differences in the assessment of enterprises’ sustainable development potential by capital market information intermediaries. These differences affect the internal governance and external financing of enterprises, thereby influencing corporate green innovation. This research is based on 1500 Shanghai-Shenzhen A-share listed companies in China from 2012 to 2022. Using green technology innovation quantity (GINUM) and green technology innovation quality (GICIT) as the measures of corporate green innovation capabilities, and by constructing a DiD model and a benchmark regression model, the dynamic relationship between ESG performance and green innovation is explored. At the same time, the mediation effect model is introduced to examine the impact of ESG performance on corporate green innovation capabilities from three perspectives: financing constraints, management’s green development awareness, and employee innovation efficiency. In addition, endogenous analysis methods and robustness test methods are employed to further ensure the reliability of the research results. The research findings show that ESG performance can significantly promote corporate green innovation capabilities. Heterogeneity analysis reveals that ESG performance significantly enhances the green technology innovation capabilities of enterprises, especially among non-state-owned small and medium-sized enterprises (SMEs) and enterprises in the eastern region. The regression coefficients for GINUM and GICIT are 0.019, 0.021, 0.084, and 0.086, respectively, all of which are statistically significant at the 1% level. The mechanism analysis shows that in terms of alleviating financing constraints, enhancing management’s green development awareness, and improving employee innovation efficiency, the regression coefficients of ESG performance for GINUM and GICIT are −1.559, −1.953, 0.018, 0.011, 0.427, and 0.495, respectively, indicating a certain promoting effect. The results of this study enrich and expand the relevant research on the relationship between ESG and corporate green innovation capabilities to a certain extent. This research is expected to provide some new practical directions for promoting green innovation capabilities within the ESG framework.
Research on Evolutionary Path of Land Development System Towards Carbon Neutrality
Authors: Xu Cong , Shen Liying , Lin Tso-Yu
Published: January 2025

Based on complex system theory and multi-dimensional coupling analysis paradigm, this study constructs a dynamic model covering land use, real estate development, and carbon emissions, and deeply explores the internal mechanism and evolution law of land development system in the process of moving toward a low-carbon path. Firstly, through nonlinear dynamics and bifurcation analysis, this study identifies three typical transformation paths that the system may experience: gradual, transitional, and hybrid, emphasizing the nonlinear, phased, and highly context-dependent characteristics of the transformation process. On this basis, early warning indicators and robustness analysis methods are introduced, which provide operational tools for identifying critical turning points in the system and improving the effectiveness and resilience of regulatory strategies. Furthermore, this paper proposes a multi-level regulation mechanism design framework, which combines the immediate feedback with the historical cumulative effect to achieve the refined guidance of land development patterns and carbon emission paths. The results provide a scientific basis and practical enlightenment for land use optimization, green infrastructure construction, and industrial structure adjustment under the background of realizing the “3060” dual carbon goal and the reform of territorial spatial planning in China. In the future, it is necessary to strengthen the empirical calibration of parameters, data-driven optimization, and collaborative research of multiple policy tools to further improve the applicability and decision-making reference value of the model.
Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price
Authors: Wang Zhaojie , Zheng Feifeng , Liu Ming
Published: January 2025

To advance sustainable transportation solutions, this work investigates an electric vehicle charging scheduling problem under the uncertainty of vehicle arrival times. Given a set of appointed electric vehicles, the objective of the considered problem is to explore charging strategies that minimize the total charging cost for the charging station. To address this problem, this work first establishes a mixed-integer programming model. Then, an enhanced sample average approximation approach alongside two versions of distribution-free approaches are applied to solve the studied problem. Additionally, this study introduces a BP neural network-enhanced distribution-free approach to efficiently resolve the problem. Finally, numerical experiments are conducted to demonstrate the effectiveness of the proposed approaches.
Exploring Mobile Application User Experience Through Topic Modeling
Authors: Grljević Olivera , Marić Mirjana , Božić Rade
Published: January 2025

Exploring user satisfaction and experience is the first step of software product improvement and business sustainability. The primary goal of this research is to investigate how companies can use topic modeling to understand mobile application user experience and offer methodological steps for identifying factors shaping it. SalesForce was selected for this case study as it was the most widely used CRM application in 2023. This study aims to uncover factors influencing positive and negative user experience, to compare and systematize them, and to indicate the business implications of topic modeling findings. For this study, authors collected 9081 online reviews of the SalesForce application from Google Play Store. The corpus is divided into three subsets based on the associated star ratings, where four and five stars indicate positive sentiment, three mixed sentiment, and two and one negative. Each subset is analyzed using the Latent Dirichlet Allocation algorithm, hyper-parameters were fine-tuned, and the experimental models were evaluated with coherence measures to determine the model with the optimal number of topics. The results indicate that the driving factors of positive experience are seamless functionality and reliability, design flaws and performance issues shape negative experiences, and mixed experiences arise from inconsistencies in usability and authentication challenges.
Volatilization Characteristic of Chloride Salts During the Production of Fired Brick Under Different Atmospheres
Authors: Li Jie , Li Zhigang , Wang Dandan , Mao Linqiang
Published: January 2025

The behavior of chloride (Cl) salts in high-temperature environments is critical for various industrial processes, including waste treatment and material synthesis. However, the influence of different atmospheric conditions on the volatilization and interaction of Cl salts with clay minerals remains poorly understood. Previous studies have primarily focused on individual salt types under limited conditions, leaving a gap in the comprehensive understanding of how atmosphere composition affects Cl salt volatilization at high temperatures. This work addresses this gap by systematically investigating the volatilization behaviors of NaCl, KCl, and CaCl2 in different atmospheres (air, N2(g), NH3(g), and H2O(g)) across temperatures from 750 to 1050 °C. The results revealed significant differences in volatilization rates, with H2O(g) atmosphere significantly enhancing Cl volatilization, especially for NaCl and KCl, while CaCl2 showed notably lower volatilization. N2(g) and NH3(g) atmospheres exhibit a similar, moderate effect on Cl volatilization, while the air atmosphere suppressed Cl volatilization due to the formation of stable oxide structures. Thermodynamic simulations confirmed the formation of HCl(g) as the primary volatile species, with metal cations forming stable silicates and feldspar compounds with clay minerals. DFT calculations highlighted that H2O(g) lowers the energy barrier for chloride salt decomposition, accelerating volatilization by weakening the bond between metal cations and Cl ions. These findings provide valuable insights into the impact of atmospheric conditions on the volatilization of Cl salts in high-temperature environments.
Window Bevel Shape Optimization for Sustainable Daylighting and Thermal Performance in Buildings
Authors: Krzemień Leszek , Strojecki Marcin
Published: January 2025

Thick insulation of external walls is the standard method for passive reduction in heating costs in residential buildings in the northern climate zone. However, increasing the insulation thickness worsens the lighting conditions inside the rooms. This work demonstrates that diagonal cuts in the insulation around windows (bevels) significantly increase the light entering the building without compromising its heat resistance. The optimized window bevel shape is a cost-effective method for improving daylighting in residential buildings. The research employs traditional finite-element modeling (FEM) alongside a novel method that allows for the simultaneous calculation of heat transfer and daylight distribution within the same simulation environment and geometry. The study analyzes the impact of various incision depths and angles on both daylighting and the thermal performance of the building envelope. The results show that the optimal bevel geometry dependent on the insulation thickness without a negative impact on thermal properties may be found. In addition, a traditional daylight analysis shows that for thick insulation, the introduction of bevels makes the difference between satisfactory and inadequate lighting conditions in the room. Moreover, reduced use of insulating material and resulting solar gains may significantly increase the overall sustainability of modern buildings.
The Space of Continuous Linear Functionals on ℓ1 Approximated by Weakly Symmetric Continuous Linear Functionals
Authors: Vasylyshyn Taras , Zagorodnyuk Andriy
Published: January 2025

We study the space of continuous linear functionals approximated by weakly symmetric continuous linear functionals on the complex Banach space ℓ1 of all absolutely summing complex sequences. We construct the sequence of groups of symmetries on ℓ1, obtain the structure of corresponding weakly symmetric continuous linear functionals, find the completion of the space, and construct for it a Schauder basis.
A Simplex Model of Long Pathways in the Brain Related to the Minimalist Program in Linguistics
Authors: Mori Atsuhide
Published: January 2025

Marcolli, Chomsky, and Berwick described the minimalist program, proposed by Chomsky in generative linguistics, as an algebra of binary trees in an analogy of quantum physics on Feynman diagrams. In this paper, we proposed another model of the minimalist program based on simplicial Hodge theory by taking the relevant brain neural network into account. We focused on a long directed pathway connecting distant areas in the brain, and took the (abstract) simplex spanning the locations on the terminal area, which the signals going through the pathway can reach. The identity of each signal is represented by the symmetry of the corresponding face, consisting of locations receiving the signal simultaneously. Then, we showed that this model fits the minimalist program. Further, we calculated the spectrum and eigenspaces of the Hodge Laplacian in important cases and found their surprising rationality. According to this rationality, we could draw pictures of syntactic relations based only on the calculation without using linguistic knowledge. In addition, though word order depends on what language is used, and thus has nothing to do with the minimalist program, planar word arrangements are still possible and within the scope of our model.
Graph Neural Network Learning on the Pediatric Structural Connectome
Authors: Srinivasan Anand , Raja Rajikha , Glass John O. , Hudson Melissa M. , Sabin Noah D. , Krull Kevin R. , Reddick Wilburn E.
Published: January 2025

Purpose: Sex classification is a major benchmark of previous work in learning on the structural connectome, a naturally occurring brain graph that has proven useful for studying cognitive function and impairment. While graph neural networks (GNNs), specifically graph convolutional networks (GCNs), have gained popularity lately for their effectiveness in learning on graph data, achieving strong performance in adult sex classification tasks, their application to pediatric populations remains unexplored. We seek to characterize the capacity for GNN models to learn connectomic patterns on pediatric data through an exploration of training techniques and architectural design choices. Methods: Two datasets comprising an adult BRIGHT dataset (N = 147 Hodgkin’s lymphoma survivors and N = 162 age similar controls) and a pediatric Human Connectome Project in Development (HCP-D) dataset (N = 135 healthy subjects) were utilized. Two GNN models (GCN simple and GCN residual), a deep neural network (multi-layer perceptron), and two standard machine learning models (random forest and support vector machine) were trained. Architecture exploration experiments were conducted to evaluate the impact of network depth, pooling techniques, and skip connections on the ability of GNN models to capture connectomic patterns. Models were assessed across a range of metrics including accuracy, AUC score, and adversarial robustness. Results: GNNs outperformed other models across both populations. Notably, adult GNN models achieved 85.1% accuracy in sex classification on unseen adult participants, consistent with prior studies. The extension of the adult models to the pediatric dataset and training on the smaller pediatric dataset were sub-optimal in their performance. Using adult data to augment pediatric models, the best GNN achieved comparable accuracy across unseen pediatric (83.0%) and adult (81.3%) participants. Adversarial sensitivity experiments showed that the simple GCN remained the most robust to perturbations, followed by the multi-layer perceptron and the residual GCN. Conclusions: These findings underscore the potential of GNNs in advancing our understanding of sex-specific neurological development and disorders and highlight the importance of data augmentation in overcoming challenges associated with small pediatric datasets. Further, they highlight relevant tradeoffs in the design landscape of connectomic GNNs. For example, while the simpler GNN model tested exhibits marginally worse accuracy and AUC scores in comparison to the more complex residual GNN, it demonstrates a higher degree of adversarial robustness.
Copper-Induced Neurodegenerative Disorders and Therapeutic Potential of Curcumin-Loaded Nanoemulsion
Authors: Hake Govind , Mhaske Akshada , Shukla Rahul , Flora Swaran Jeet Singh
Published: January 2025

Copper accumulation in neurons induces oxidative stress, disrupts mitochondrial activity, and accelerates neuronal death, which is central to the pathophysiology of neurodegenerative diseases like Wilson disease. Standard treatments for copper toxicity, such as D-penicillamine, trientine, and chloroquine, are frequently associated with severe side effects, creating a need for safer therapeutic alternatives. To address this, we developed a curcumin-loaded nanoemulsion (CUR-NE) using the spontaneous emulsification technique, aimed at enhancing the bioavailability and therapeutic efficacy of curcumin. The optimized nanoemulsion displayed a particle size of 76.42 nm, a zeta potential of −20.4 mV, and a high encapsulation efficiency of 93.69%, with a stable and uniform structure. The in vitro tests on SH-SY5Y neuroblastoma cells demonstrated that CUR-NE effectively protected against copper-induced toxicity, promoting significant cellular uptake. Pharmacokinetic studies revealed that CUR-NE exhibited a longer half-life and extended circulation time compared to free curcumin. Additionally, pharmacodynamic evaluations, including biochemical assays and histopathological analysis, confirmed that CUR-NE provided superior neuroprotection in copper overload conditions. These results emphasize the ability of CUR-NE to augment the therapeutic effects of curcumin, presenting a novel approach for managing copper-induced neurodegeneration. The study highlights the effectiveness of nanoemulsion-based delivery platforms in improving chelation treatments for neurological diseases.
The Flipped SU(5) × U(1) Model from Four-Dimensional Strings
Authors: Antoniadis Ignatios , Rizos John
Published: January 2025

We review the construction of a flipped SU(5)×U(1) model in the context of the Free-Fermionic Formulation of four-dimensional strings and present its main phenomenological consequences in particle physics and cosmology.
The Chikungunya Virus nsP3 Macro Domain Inhibits Activation of the NF-κB Pathway
Authors: Roberts Grace C. , Stonehouse Nicola J. , Harris Mark
Published: January 2025

The role of the chikungunya virus (CHIKV) non-structural protein 3 (nsP3) in the virus lifecycle is poorly understood. The protein comprises three domains. At the N-terminus is a macro domain, biochemically characterised to bind both RNA and ADP-ribose and to possess ADP-ribosyl hydrolase activity—an enzymatic activity that removes ADP-ribose from mono-ADP-ribosylated proteins. As ADP-ribosylation is important in the signalling pathway, leading to activation of the transcription factor NF-κB, we sought to determine whether the macro domain might perturb NF-κB signalling. We first showed that CHIKV infection did not induce NF-κB activation and could not block exogenous activation of the pathway via TNFα, although TNFα treatment did result in a modest reduction in virus titre. In contrast, ectopic expression of nsP3 was able to inhibit both basal and TNFα-mediated NF-κB activation, and this was dependent on the macro domain, as a mutation previously shown to disrupt ADP-ribose binding and hydrolase activity (D10A) eliminated the ability to inhibit NF-κB activation. The macro domain D10A mutant also resulted in a dramatic reduction in virus infectivity, consistent with the notion that the ability of the macro domain to inhibit NF-κB activation plays a role in the virus lifecycle.
Cross-Reactive Fc-Mediated Antibody Responses to Influenza HA Stem Region in Human Sera Following Seasonal Vaccination
Authors: Nishiyama Ayae , Nogimori Takuto , Masuta Yuji , Matsuura Tomoka , Kase Tetsuo , Kondo Kyoko , Ohfuji Satoko , Nakagama Yu , Kaku Natsuko , Nakagama Sachie , Nitahara Yuko , Takahashi Yoshimasa , Kakeya Hiroshi , Kido Yasutoshi , Fukushima Wakaba , Yamamoto Takuya
Published: January 2025

Background: Current influenza A vaccines primarily induce neutralizing antibodies targeting the variable hemagglutinin (HA) head domain, limiting their effectiveness against diverse or emerging influenza A virus (IAV) subtypes. The conserved HA stem domain, particularly the long α-helix (LAH) epitope, is a focus of universal vaccine research due to its cross-protective potential. Additionally, Fc-mediated functions such as antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) are recognized as important protective immune mechanisms. This study evaluated IgG responses to the HA head, stem, and LAH regions and assessed cross-reactive potential through neutralization, ADCC, and ADCP assays. Methods: IgG responses to the HA head, stem, and LAH regions were measured in vaccinated individuals. Functional assays were conducted for neutralization, ADCC, and ADCP to evaluate the association between antibody levels and immune function. Results: The results showed that HA head-specific IgG increased significantly after vaccination in 50 individuals, whereas stem-specific IgG increased by 72% and LAH-specific IgG by 12–14%. Among the induced antibody subclasses, IgG1 was predominantly increased. Neutralization titers were detected in viruses of the same strain as the vaccine strain, but not in classical or pandemic strains (H5N1, H7N9). HA stem-specific IgG1 antibody titers showed a significant correlation with ADCC/ADCP activity breadth, but no correlation was observed with neutralization breadth. Conclusions: These findings suggest that although current influenza vaccines can induce HA stem-targeted cross-reactive antibodies, their quantity may be insufficient for broad cross-protection, underscoring the need for improved vaccine strategies.
Lifestyle interventions for depression in primary care: a qualitative study
Authors: Panjer Jolien Alissa , Alma Manna Albertina , Fokkema Tryntsje , Hendriks Tom , Cath Daniëlle , Kik Jolien , Burger Huibert , Berger Marjolein
Published: January 2025

Background

In individuals with depression a vicious circle tends to occur in which depressive symptoms cause an unhealthy lifestyle, which reversibly causes an increase in depressive symptoms; both of which are associated with a decreased life expectancy. A potential way to break this circle entails a multicomponent lifestyle intervention (MLI).

Aim

Exploring the barriers and facilitators for an MLI in patients with depressive symptoms from the perspective of general practitioners (GP), chronic disease practice nurses (CD-PN), mental health nurses (MHN), lifestyle coaches (LC) and patients (PT).

Design & setting

Qualitative study using semi-structured interviews in Dutch primary care.MethodsWe interviewed 5 GPs, 6 MHNs, 5 CD-PNs, 5 LCs and 7 PTs. Focus was on possible barriers and facilitators for an MLI. Data were analyzed using thematic analysis. A focus group was used as a member check.

Results

Five themes were identified: ‘expectations of effectiveness, ‘motivation’, ‘stigma’, ‘logistics and organization’ and ‘communication by professionals’.

Conclusion

Ideas on effectiveness were crucial and could be either a facilitator or a barrier for a DT-MLI. Professionals often had high expectations, based on work experience, making this a facilitator. Other facilitators are motivating participants, good logistics and good communication by professionals, thus destigmatizing depression. Patients considered being motivated by the program as a reason for participating, as they did not expect a DT-MLI would give them new information. Support from others was considered a motivator to participate.
Incidence of clinical and neurological changes among users of post-COVID 19 primary care
Authors: Morais Araújo Souza Luiza , Teixeira Ana Lívia , Nanci Lobo Fernandes Ana Luiza , Santos Crislayne Aparecida , Reis Maria Estela , Silveira Targino Augusto , Longatti Lara Lorena , Mercês de Carvalho Marluana , De Oliveira Coelho Jasiara Carla , Moreira Damázio Laila Cristina
Published: January 2025

Introduction. COVID-19, caused by the new coronavirus (SARS-CoV-2), emerged in 2019 in China and spread globally. It may cause varying symptoms of pregnancy and long-term consequences, including post-COVID-19 Syndrome (PCS), with physical, neurological and psychological consequences observed both in the acute phase and in the post-infection period. Objective. To evaluate the incidence of clinical and neurological alterations in the post-COVID-19 period among users of Primary Health Care (PHC) in a municipality of Minas Gerais. Method. This is a longitudinal study that prioritizes data collection by means of a questionnaire, composed of eleven quests prepared by researchers. The questions were addressed, initially, to the period of infection and, subsequently, to the symptoms manifested during the disease. It was used for statistical analysis or GraphPad Prism 8.0 program, t test, considering p<0.05. Results. We observed that individuals present worrying sequels even after seven days, 14 days or one month after infection, such as fatigue, memory loss and psychological alterations. Conclusion. Based on these results, the possibility of drawing up forms of intervention that helps in the rehabilitation of individuals, aiming at a better quality of life, is identified.
O papel da Polícia Militar na garantia da segurança pública: a salvaguarda do Estado Democrático de Direito
Authors: Almeida Victor Alisson de , Ramos Neto Wilson Gomes
Published: January 2025

Este estudo aborda a atuação da Polícia Militar no contexto do Estado Democrático de Direito, com ênfase no principal desafio contemporâneo enfrentado pela instituição: o equilíbrio entre a garantia da segurança pública e a proteção dos direitos fundamentais dos cidadãos. Objetiva-se compreender os desafios enfrentados pela Polícia Militar em suas ações coercitivas, visando a preservação da legalidade e dos direitos fundamentais enquanto assegura a ordem pública. Para tanto, procede-se a uma análise qualitativa com revisão bibliográfica para identificar a prática da Corporação em situações de conflito entre segurança e direitos individuais. Em adição, utilizar-se-á o método dedutivo para o desenvolvimento da pesquisa, partindo de conceitos gerais acerca do Estado Democrático de Direito para, então, compreender o papel da Polícia Militar em sua salvaguarda. Desse modo, observa-se que o princípio da legalidade abarca a atuação da Polícia Militar, de modo que se faz desnecessária a escolha por um ou outro direito, isto é, segurança pública ou garantias individuais. O estudo conclui que, embora a missão da Polícia Militar envolva ações coercitivas, estas devem sempre ser fundamentadas na legalidade e orientadas pela preservação dos direitos fundamentais, evidenciando a importância dessa instituição na sustentação do Estado Democrático de Direito.
A razoabilidade e a proteção das vítimas de violência doméstica: como garantir uma resposta adequada da Polícia Militar do Paraná
Authors: Costa Alceu Abilio
Published: January 2025

O artigo aborda a aplicação do princípio da razoabilidade pela Polícia Militar do Paraná (PMPR) no atendimento a vítimas de violência doméstica, com o objetivo de assegurar proteção imediata e garantir o respeito aos direitos fundamentais das vítimas. Diante da urgência e sensibilidade desses casos, a atuação da PMPR é analisada sob a ótica da adequação, necessidade e proporcionalidade das medidas adotadas, buscando evitar excessos e omissões que possam comprometer a segurança e a dignidade das vítimas. Além disso, o texto explora o impacto da capacitação de policiais para o combate à violência doméstica, destacando os desafios e os avanços no aprimoramento de práticas que promovam uma abordagem humanizada e eficiente. O estudo conclui que o princípio da razoabilidade, aliado a ações de capacitação contínua, é essencial para fortalecer a confiança da sociedade na instituição policial e para a efetivação de direitos fundamentais no enfrentamento à violência doméstica.
“I named myself after her”: Renaming strategies in a community of transgender women of the city of Lima, Peru
Authors:   Information School, University of Washington, USA, Cuba Ernesto
Published: January 2025

This paper examines the attitudinal and ideological motivations behind the practice of renaming – the process of selecting and using a new name – within Féminas, an activist group of transgender women based in Lima, Peru. The purpose is to identify rationales and strategies of members in choosing new first names and their (dis) alignments with Spanish anthroponymic patterns. The corpus comprises twenty-seven semi-structured interviews with transgender women with diverse ages, professions, and political outlooks. I analyze answers to the question “Why [insert name]?” For instance, “Why Jessica?” asks for the personal motivations for choosing the name Jessica. I found four renaming strategies: (1) respondents derive a feminine-sounding name from their assigned masculine-sounding names, e.g., Gerardo > Gerarda; (2) they adopt the names of women friends and relatives admired for emotional reasons; (3) they choose the names of popular women characters and celebrities; and (4) they continually rename themselves due to “excessive” popularity of some feminine-sounding names.
Influence of national cultural industry on the choice of first names in the western region of Paraná in Brazil
Authors:   Western Parana State University, Brazil, Seide Márcia Sipavicius
Published: January 2025

Butkuvienė et al. (2021) published a comparative study about name-giving motives in choosing given names in Lithuania and in the western region of Paraná State in Brazil based on a survey in the form of a questionnaire, which was completed by 207 respondents, including 107 community members of the Western Paraná State University (Universidade Estadual do Oeste do Paraná – Unioeste) on the campus in Marechal Cândido Rondon, Brazil. Two divergent results in Brazil are related to more occurrences of the motives referring to “fictional characters” and to “famous persons,” 0,8 in Lithuanian data and 4,3 % in Brazilian data for the first motive; and 3.3% in Lithuanian data and 9.3% in Brazilian data for the second one. In this article, the data about those motives are reanalysed. The new results show that those motives are especially prevalent in the western region of the Paraná State in Brazil due to the influence of the cultural industry during the decades when the names were chosen.
ON THE QUESTION OF THE DIRECTION OF DEVELOPMENT OF HOMOLOGOUS SERIES OF CHEMICAL COMPOUNDS
Authors: Undalov Y.K.
Published: January 2025

The paper considers a method for calculating homological series of chemical compounds of three-, four- and five-component ion systems of chemical elements in a generalized form. When representing systems with a triangle and a triangular pyramid, in the corners of which ions of chemical elements are placed, the geometric features of these figures are used, which made it possible to identify patterns of changes in the composition of chemical compounds in the systems presented in this way, which turned out to be members of homological series. Calculations have shown that homologous series can develop only towards two-component chemical compounds. It is proved that it is impossible to develop homological series towards three-component chemical compounds due to non–fulfillment in this case of one of the main requirements for the existence of homological series - the immutability of the homological difference for both branches of the homological series, for the branch of chemical compounds and for the branch of charged clusters.
THE NEW FACE OF AGE-RELATED DISEASES (CLINICAL LECTURE)
Authors: Dubossarska Z.M.
Published: January 2025

Objective. To describe current approaches to the issue of sarcopenia in older adults.
Sarcopenia is a geriatric syndrome commonly observed in elderly and older adults. It reduces their physical capabilities, worsens quality of life, and increases the frequency of falls, thereby raising the risk of osteoporotic fractures. Muscle mass index and imaging studies such as CT, MRI, and DXA are used to assess age-related muscle mass loss. Prevention and treatment of sarcopenia involve therapeutic exercise, dietary adjustments, and pharmacotherapy.
Conclusions. Epidemiological studies are needed to examine the prevalence and risk factors of sarcopenia in older age groups, as well as the development of methods and tools for diagnosing, preventing, and treating functional disorders of the muscular system.
El aprendizaje basado en problemas como recurso en el mejoramiento académico de las matemáticas
Authors: Velasco-Barragán Benito Bernardo
Published: January 2025

El presente artículo tuvo como propósito analizar el aprendizaje basado en problemas (ABP) como una herramienta para la optimización del desempeño académico de los estudiantes universitarios en las matemáticas. En cuanto a la metodología, el estudio se sustentó en un tipo de investigación documental, por cuanto se basó en la revisión de 15 artículos pertenecientes a las bases de datos Scielo y Redalyc. Como técnica, se empleó el análisis documental y, como instrumentos, se utilizaron guías de revisión bibliográfica para sistematizar la búsqueda de información, además de matrices de análisis para identificar las ventajas y desafíos del ABP en la mejora académica. Entre los resultados, se destacó que el ABP ha constituido una metodología efectiva para el desarrollo de competencias críticas, la resolución de problemas y el mejoramiento académico. Por ende, se concluyó que su éxito dependerá siempre de la capacitación docente y la adecuación a contextos educativos específicos.
Manejo del ChatGPT en actividades académicas en estudiantes universitarios, Ecuador
Authors: Izquierdo-Morán Aída Margarita , Jara-Contreras Johanna Elizabeth , Ballesteros-Coello Hamilton Josué , Álvarez-Laborde Álvarez-Laborde
Published: January 2025

Las tecnologías como la inteligencia artificial (IA) como el ChatGPT ha transformado los procesos de aprendizaje en la educación. El objetivo es analizar el impacto en los procesos de aprendizaje del uso del ChatGPT en las actividades académicas en estudiantes universitarios de Los Ríos, Ecuador. Se realizó una investigación mixta de corte transversal a 335 estudiantes universitarios con un muestreo estratificado proporcional. Mediante una encuesta se exploró el uso de ChatGPT, sus ventajas, limitaciones y la orientación recibida para su empleo. Se establece que los estudiantes utilizan ChatGPT de forma limitada para actividades prácticas, dado por la falta de capacitación y el aprendizaje autodidacta del manejo de esta herramienta. En conclusión, el impacto de ChatGPT en el rendimiento académico de los estudiantes universitarios es mínimo debido a la ausencia de guía en su manejo y la falta de apoyo docente para una adopción responsable con ética y visión crítica.
Marketing digital 2.0 para la reactivación de emprendimientos gastronómicos en el estado de Sinaloa, México
Authors: Nieves-Lizárraga Daniel Omar , Sánchez-Albores Aracely Celina , Salazar-Echeagaray Melissa Edith , Huicab-García Yhadira
Published: January 2025

La reactivación económica después de la pandemia ha requerido una mayor utilización de espacios virtuales. El estado de Sinaloa se ha consolidado como un destino turístico con posibilidades para desarrollar y reactivar emprendimientos. El objetivo de la investigación es identificar las herramientas digitales más utilizadas para el marketing digital 2.0 en emprendimientos gastronómicos en el estado de Sinaloa, México. La investigación se desarrolló con un enfoque cuantitativo, alcance descriptivo, de tipo transversal con diseño no experimental. El estudio posibilitó determinar las herramientas digitales más utilizadas por este tipo de negocio en comparación con las preferencias de los consumidores. In the state of Sinaloa, the study on the use of digital marketing 2.0 tools reinforces the need to continue perfecting marketing and digital advertising strategies for gastronomic ventures considering consumer preferences and different market segments
Teletrabajo en Latinoamérica: revisión sistemática
Authors: Mendoza-Munguía Isabel Betty
Published: January 2025

El objetivo principal de este artículo fue analizar el teletrabajo en Latinoamérica, con el fin de identificar las principales tendencias, retos, oportunidades y características del teletrabajo en esta región, así como las implicaciones para los trabajadores y las organizaciones. La metodología empleada fue cualitativa, basada en una revisión documental sistemática. La muestra estuvo conformada por 17 artículos de Scielo y Redalyc. Los instrumentos utilizados incluyeron matrices de análisis para sintetizar la información. Los resultados develaron que el teletrabajo en Latinoamérica ha presentado una gran diversidad de enfoques influenciados por factores culturales, tecnológicos, económicos y sociales. El artículo concluyó que a pesar de los avances, han persistido desafíos relacionados con la infraestructura tecnológica, la gestión del cambio organizacional y la adaptación de los trabajadores. Además, se destaca la necesidad de políticas públicas y estrategias empresariales que promuevan un teletrabajo inclusivo y sostenible en la región.
Hommes et femmes dans les prisons de la RDA
Authors: Aurenche-Beau Emmanuelle
Published: January 2025

Ma contribution s’intéresse aux récits d’enfermement publiés par des citoyen.ne.s de l’ex-RDA condamné.e.s à des peines de prison pour raisons politiques. Elle est centrée sur l’observation d’éventuelles différences entre ceux rédigés par des hommes et ceux rédigés par des femmes et se fonde principalement sur deux textes, celui de Birgit Schlicke et celui de Bernd Pieper qui, s’ils présentent certains points communs (structuration globale selon le schéma arrestation-enfermement – libération ; thèmes abordés – espaces et temps de l’enfermement, relations avec les autres détenu.e.s, avec les interrogateur.trice.s, avec les gardien.ne.s…), n’en permettent pas moins de mettre en évidence des différences dans la manière de rendre compte de l’expérience de l’enfermement (expression des sentiments, place accordée au corps, style plus personnel et plus concret/style plus factuel et plus abstrait).
D’un enfermement l’autre : hôpital psychiatrique et maternité
Authors: Braun Alice
Published: January 2025

À travers l’étude de trois textes autobiographiques de femmes écrivains (Janet Frame, Sylvia Plath et Doris Lessing), il s’agira d’étudier la représentation de la maternité comme lieu et comme expérience en lien avec celle de l’hôpital psychiatrique, tous deux ayant en commun d’être des espaces à la fois pathologisants et renormalisants. On verra ainsi comment les professionnels de la psychiatrie et de l’obstétrique opèrent un contrôle comparable sur le langage et le corps des femmes aux prises avec des expériences-limites. Plus largement, il s’agira d’essayer de comprendre pourquoi l’expérience de la grossesse et de l’accouchement sont aussi peu représentées, voire pensées, par la littérature.