bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Pretreatment Process of Rubber Powder for Modified Asphalt Applications
Authors:   School of Civil Engineering, Hunan City University, Yiyang, China, Shi Kai , Deng Min ,   Hunan Zhengdao Construction Engineering Co., Ltd., Changsha, China, Mao Yu ,   School of Civil Engineering, Hunan City University, Yiyang, China, Yang Senke ,   School of Civil Engineering, Hunan City University, Yiyang, China, Cao Yaoyu ,   School of Civil Engineering, Hunan City University, Yiyang, China, Liu Lingyong ,   School of Civil Engineering, Hunan City University, Yiyang, China
Published: February 2025

The application of rubber powder in modified asphalt has garnered significant attention in the field of
road engineering and materials science. This paper discusses the advantages and methods of pretreating rubber powder
in the process of modified asphalt application, including thermal mechanical method, chemical method, microwave
radiation method, supercritical fluid induction, and biological method. By breaking the sulfur cross-linking bonds of
rubber powder, increasing its surface activity, improving its dispersibility and reactivity, rubber powder modified
asphalt shows significant improvements in high-temperature stability, low-temperature crack resistance, storage
stability, and anti-aging performance. Future research should focus on optimizing pretreatment technology, improving
desulfurization efficiency, and enhancing economic and environmental benefits to fully leverage the potential of rubber
powder modified asphalt.
AI-Driven Customer Engagement in the Insurance Domain using Dynamics 365
Authors:   Sr. Application Developer, Munich Re America., Ohio, USA, Kotha Chandan , Rangineni Tejaswi ,   Sr. Application Developer, Oorwin Labs, Ohio, USA
Published: February 2025

The insurance industry is undergoing a digital transformation, with customer engagement emerging as a
critical differentiator. Dynamics 365 (D365) Customer Engagement, integrated with Artificial Intelligence (AI),
provides a powerful platform for insurers to enhance customer experiences, streamline operations, and improve
profitability. This paper explores the application of AI-driven D365 solutions in the insurance domain, focusing on
customer engagement, claims processing, and data-driven decision-making. We present a detailed methodology,
including data collection and analysis, a case study, and a discussion of the advantages and limitations of this approach.
The study demonstrates how AI-powered insights can optimize decision-making, personalize customer interactions,
and improve operational efficiency. The findings highlight the transformative potential of D365 in the insurance sector.
Green IT in Healthcare: Leveraging DevOps for Scalable Patient Services
Authors:   Team Lead, EET MW at Bank of America, USA, Muppala Pramod Kumar
Published: February 2025

Healthcare organizations encounter rising environmental threats that force them to use sustainable
methods while maintaining top patient care standards. This research examines how healthcare uses Green IT to save
energy and materials and build environmentally friendly technology networks. DevOps applications help unite
developers and operations teams through automated tools and regular software delivery techniques. Through
containerization, microservices, and cloud computing technologies, healthcare organizations can create scalable
systems that reduce idle resources, which leads to less energy waste. Technology-enhanced monitoring and automation
tools help organizations execute routine work more accurately while improving their operations. Healthcare providers
who move their data centers to the cloud can make their operations more environmentally friendly while keeping their
service quality high. Our research shows organizations how to build a sustainable healthcare system that protects nature
and provides excellent medical care while providing practical ways to unite Green IT and DevOps.
Integrating Serverless Computing and Kubernetes in OpenStack for Dynamic AI Workflow Optimization
Authors:   SelectMinds, Chicago, IL, USA, Patchamatla Pavan Srikanth , Owolabi Isaiah Oluasegun ,   Ahyliz Technologies, Ontario, Canada
Published: February 2025

This paper aims to explore the integration of serverless architectures with Kubernetes and OpenStack to
optimize AI workflows. The study evaluates the architecture’s scalability, performance, resource utilization, cost
efficiency, and energy consumption while addressing challenges such as cold start latency and GPU resource
management.The research involves an experimental setup consisting of OpenStack for IaaS, Kubernetes for container
orchestration, and serverless frameworks like Knative and OpenFaaS for function execution. AI workflows, including
data preprocessing, model training, and real-time inference, were implemented. Performance metrics such as latency,
throughput, energy efficiency, and cost were analyzed using tools like Prometheus, Grafana, and TensorFlow Profiler.
Comparisons were drawn between serverless and containerized workflows across diverse workload scenarios. The
integration demonstrated significant benefits for AI workflows, particularly in real-time inference tasks, with serverless
architectures exhibiting better scalability and cost efficiency. Containerized workflows achieved superior GPU
utilization and cost performance for batch processing tasks. Serverless workflows reduced energy consumption by up to
25% during idle periods but were impacted by cold start latencies and resource contention during peak workloads. The
findings emphasize the transformative potential of serverless-Kubernetes-OpenStack integration, particularly for
scalable and energy-efficient AI workflows. However, trade-offs in performance and architectural complexity were
noted. The study contributes by optimizing GPU utilization, reducing energy consumption, and supporting hybrid
workloads, addressing key gaps in prior research. Recommendations include strategies for latency mitigation, resource
orchestration, and workload placement.
AI-Powered Carbon Accounting: Transforming ESG Reporting Standards for a Sustainable Global Economy
Authors:   Eastern Illinios University, Chaleston, USA, Ogunyemi Feyisayo Michael
Published: February 2025

The integration of Artificial Intelligence (AI) in Environmental, Social, and Governance (ESG) reporting
is revolutionizing carbon accounting by improving accuracy, efficiency, and transparency. Traditional carbon reporting
methods are often labor-intensive and prone to errors, limiting their effectiveness in real-time sustainability tracking.
AI-driven solutions, including machine learning, natural language processing (NLP), and predictive analytics, enable
businesses to automate carbon footprint assessments, enhance data reliability, and ensure compliance with global
sustainability frameworks. Additionally, AI-powered IoT systems facilitate real-time environmental monitoring, while
blockchain technology strengthens data integrity in ESG disclosures. Despite its transformative potential, AI adoption
in carbon accounting faces challenges such as data privacy concerns, algorithmic transparency, and high
implementation costs. Addressing these issues requires interdisciplinary collaboration between AI developers,
sustainability experts, and regulatory bodies. This paper explores how AI can reshape ESG reporting standards, helping
organizations achieve sustainability goals, mitigate environmental risks, and align with evolving regulatory demands.
The study highlights case studies of successful AI implementations, evaluates key challenges, and discusses future
research directions to optimize AI’s role in carbon accounting. By leveraging AI’s capabilities, businesses can move
towards more data-driven, accountable, and sustainable environmental reporting practices.
Carbon Accounting for ESG Leadership: Innovating Sustainability Practices in Emerging Markets
Authors:   Eastern Illinios University, Chaleston, USA, Ogunyemi Feyisayo Michael , Owolabi Isaiah Oluwasegun ,   GloPayz & TechKube, Ontario, Canada, Busari Isiaka Olayinka ,   University of Kentucky, Kentucky, USA, Olakunle Tijani Jamiu ,   Laagos State University, Lagos, Nigeria
Published: February 2025

Integrating Artificial Intelligence (AI) into carbon accounting presents a transformative approach to
Environmental, Social, and Governance (ESG) leadership, improving transparency, accuracy, and regulatory
compliance. Traditional carbon accounting frameworks are often limited by inefficiencies, inconsistencies, and reliance
on self-reported data, leading to inaccuracies in sustainability disclosures. This research explores how AI-driven
technologies, including machine learning, predictive analytics, blockchain, and the Internet of Things (IoT), enhance
carbon footprint assessments, mitigate risks of greenwashing, and optimize emissions reporting in emerging markets. A
mixed-methods approach is employed, incorporating qualitative insights from expert interviews and surveys, alongside
quantitative AI-driven data analytics. Findings highlight that AI-powered ESG reporting enables real-time emissions
monitoring, improves risk management, and fosters corporate sustainability strategies. However, challenges such as
high implementation costs, ethical concerns, algorithmic bias, and regulatory fragmentation must be addressed. Future
research should focus on enhancing AI model accuracy, developing explainable AI (XAI) frameworks, and expanding
AI adoption across various industries beyond high-carbon sectors. Policy recommendations emphasize the need for
regulatory support, incentivization of AI adoption, and interdisciplinary collaboration between AI developers,
sustainability experts, and policymakers. This study contributes to existing knowledge by providing actionable insights
into AI’s role in ESG performance, advancing sustainable business practices, and supporting global climate initiatives.
By leveraging AI-driven solutions, businesses and regulators can enhance sustainability leadership, ensuring long-term
environmental responsibility and compliance with international climate standards.
Distribución y estado de conservación de las especies del género Bartlettina (Eupatorieae, Asteraceae) endémicas de México
Authors: Ramírez-García Eire , Krömer Thorsten
Published: February 2025

Antecedentes: El género Bartlettina (Eupatorieae, Asteraceae) es un grupo de plantas neotropicales. México presenta la mayor riqueza, donde se conocen 22 taxones de los cuales, 13 son endémicos al país. Los endemismos tienen requerimientos específicos de hábitat, por lo tanto, son más susceptibles a los disturbios antropogénicos y a la extinción. Los esfuerzos de investigación enfocados en estos grupos son prioritarios.
Preguntas: ¿Cuál es la distribución de las especies endémicas del género Bartlettina en México?, ¿dónde se encuentran sus principales áreas de riqueza?, ¿cuál es su estado de conservación?
Especies de estudio: Especies de Bartlettina endémicas de México.
Sitio y años de estudio: México, enero 2022 a febrero 2024.
Métodos: Se hizo una revisión de todos los ejemplares herborizados disponibles. Se obtuvo información taxonómica, geográfica y ecológica. Se elaboraron mapas de distribución e identificaron las áreas con mayor riqueza. Se evaluó el estado de conservación siguiendo el criterio B de la Unión Internacional para la Conservación de la Naturaleza.
Resultados: Las especies se distribuyen principalmente en el bosque mesófilo de montaña, de Pinus-Quercus y Quercus. La Sierra Norte de Oaxaca, la zona de confluencia Sierra Madre Oriental-Faja Volcánica Transmexicana y la Sierra Madre Oriental son las regiones con mayor riqueza. Se determinó que seis especies están en una categoría de riesgo, dos Casi Amenazadas y cuatro tienen Datos Insuficientes.
Conclusiones: La mayoría de las especies del grupo estudiado presentan distribución restringida y especificidad de hábitat, encontrándose en tipos de vegetación altamente amenazados, por lo tanto, requieren medidas de protección.
INFLUÊNCIA DA INTERNET NA COMUNICAÇÃO E NA ESCRITA NOS ALUNOS DO ENSINO MÉDIO (12ª CLASSE) NAS ESCOLAS SECUNDÁRIAS EM MOÇAMBIQUE
Authors: Sitoe Isaías Silvestre
Published: February 2025

Até hoje ninguém sabe explicar qual foi a causa principal para a origem da escrita. Quando o povose conciliou de sua importância, esta já havia se consolidado ao ser utilizada amplamente. Porém,verifica-se que a comunidade escolar, de forma geral, tem como objetivo levar em consideração oprocesso de aprendizagem dos alunos para o seu pleno desenvolvimento educacional e social. Estapesquisa teve como objetivo geral compreender a influência da internet na comunicação e escrita nosalunos do ensino médio (12ª classe) das Escolas Secundárias em Moçambique. Portanto, este estudoteve o método qualitativo e de caráter exploratório. A população desta pesquisa foi composta por 31participantes, dentre eles, dezesseis (16) alunos de ambos os gêneros provenientes de diferentesescolas que frequentam diferentes seções, cinco (5) Diretores da ESEMZ e dez (10) professoresda mesma escola, de ambos os sexos, na zona sul de Moçambique, concretamente na província deGaza. O tratamento e análise dos resultados corresponderam às seguintes categorias: pré-análise,que se baseou na reflexão dos dados coletados no campo; exploração do material, que se centrouna exploração de artigos, monografias, dissertações e teses para o sustento teórico do estudo; eanálise dos resultados, que se baseou nos tratamentos dos dados coletados no estudo. Os resultadosda pesquisa evidenciaram que a internet e a comunicação para os alunos da ESEMZ são usadas deforma negativa, tanto na sala de aula quanto no seu dia a dia. Estes alunos estão expostos a váriosproblemas relacionados à escrita, o que prejudica a própria comunicação. Não só isso, os resultadosdo estudo revelam que foi possível, através dos depoimentos dos participantes, perceber que essesalunos enfrentam dificuldades que podem impactar sua vida acadêmica. Os professores de LínguaPortuguesa necessitam buscar cada vez mais se capacitar para as mudanças tecnológicas, deixandode lado seus medos e receios em mudar, buscando ultrapassar essas barreiras.
Palavras-chave: Internet, Tecnologia, Comunicação, Escrita, Ensino Médio.
FORTRAN IV Program for Generalized Statistical Distance and Analysis of Covariance Matrices for the CDC 3600 Computer
Authors: Retment R.A.
Published: February 2025

Heterogeneity in sample covariance matrices, deriving from differences in the orientation of major axes of the ellipsoids of scatter, may be of common occurrence. The generalized test of equality of covariance matrices will give a significant result in instances where the scatter ellipsoids are (1) unequally inflated, although identically oriented, (2) identically inflated but differently oriented and (3) a combination of these conditions. Equations to the major axes of a scatter ellipsoid of morphologic variables represent growth patterns in the variables. An approximate application of the asymptotic test developed by T. A. Anderson is used here to identify structure of the heterogeneity between two covariance matrices where such exists. The foregoing procedures are preliminary to a treatment of generalized distances in which the path taken by the computer program is decided by structure of the covariance matrices of the samples. Depending on the nature of the covariance matrices either the Mahanolobis' generalized distance is computed or the Anderson-Bahadur distance for heterogeneous covariance matrices. Tests of significance of the results are provided and the linear discriminant function coefficients produced as a by-product.
A Generalized Two-dimensional Regression Procedure
Authors: Dempsey John R.
Published: February 2025

Frequently, in the solution of an engineering problem with the aid of a digital computer, the investigator wishes to use values in the calculations that originate from a chart or table of values. These values may have been derived by discrete variations of some complicated function or may have been derived experimentally. In the former case the trend is usually smooth in nature whereas the latter may be quite erratic. With the latter, he normally desires the most general trend of the tabu lated data, but this often negates much of the experimental inconsistency. However, he must be very cautious with this assumption.
Several methods are at the programmer-engineer's disposal to represent data for automatic computation. A few of these are:

Read in the value of the dependent variable at each step,
Represent a table by matrices and use a table look-up procedure,
Apply differencing techniques (polynomial approximation), and
Compute normal least squares.

There are many inherent problems in using any of the above methods. The first one obviously is extremely time consuming and expensive, because the computer is idle while the value of the dependent variable corresponding to the specified independent variable is found.
The second method is often satisfactory when accuracy is desired. It normally requires a great deal of computer space, however, and is relatively slow in the evaluation of the desired value.
Differencing techniques are easily evaluated once the polynomial has been defined; however, there are many problems in evaluating the required differences to specify the polynomial. Some of the problems are: spacing, boundary conditions, and error accumulation.
The fourth is probably the best method, at least from the theoretical and utility standpoints. The theory states that the function must have a minimum deviation for any set of discrete data and for any order. It is also easily evaluated for digital computation.
Several problems are inherent in the computation of a normal least squares. One disadvantage is that a system of simultaneous equations must be reduced to evaluate the coefficients. The matrix formed by these equations is of the well-known Hilbert matrix form. It is extremely ill-conditioned and fails to converge at higher orders. The numerical round-off is also a problem during the matrix inversion. A second major disadvantage of the normal least-squares method is in the evaluation of the minimum variance for a set of different orders. Because the coefficients themselves are not analytically independent (i.e. they depend on both the order and set of data), one must evaluate a separate set of coefficients for each order and then proceed to evaluate the associated variance.
Due to the many problems inherent to function approximation by the above techniques, an alternate technique should be appropriate. The method described here or use of the procedure utilizing this method will eliminate or partly nullify the adverse conditions described above.
A POETIC VISION OF THE RUSSIAN-UKRAINIAN WAR: FROM SHEVCHENKO TO THE PRESENT DAY
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Belimova Tetiana
Published: February 2025

B a c k g r o u n d . Poetic art can not only resist, forming its own narratives in opposition to the imperial ones, but also record major historical events, perform an accumulative function, and preserve disparate fragments of cultural memory. Taras Shevchenko was the first artist to point to the enemy, Russian imperialism, and to outline the main coordinates of popular resistance. Contemporary Ukrainian poets have expanded and supplemented the artistic paradigm born of Shevchenko's word.
M e t h o d s . The methods of postcolonial studies, memory studies, and trauma studies were applied in this article.
R e s u l t s . The article outlines the main narratives of Shevchenko's poetic world, which became explosively resistant to the colonial erasure deliberately implemented in Ukraine by the Russian Empire. Shevchenko's poetic texts revealed the cultural memory of the Ukrainian people and pointed to the unforgettable events of the past. The poet elevated the image of the defender of the native land, immortalising the names of many Ukrainian heroes; thus, he activated the concept of the family, a monument in words to those who laid down their lives in the struggle for the freedom of the Motherland. In the crucible of Shevchenko's words, imperatives were born, the essence and significance of which only grew with each generation of Ukrainians. Contemporary Ukrainian poets have continued and expanded the paradigm of resistance to the Muscovite invaders in the context of the newest stage of the anti-colonial struggle. On the example of poetic texts by V. Amelina, I. Astapenko, L. Horova, H. Kruk, A. Maligon, N. Slobodianiuk, and others, the author observes the expansion of Shevchenko's image of the defender of the native land through gender expansion, when women also stood up for Ukraine; other transformations of the traditional idea of the Ukrainian warrior-defender are also noted. The author also analyses contemporary poetry generated by the Russian- Ukrainian war, which recorded previously unknown aspects of Ukrainian literature, especially when it comes to its classical dimensions, traumatic states of reliving the war, and outlines the Survivor complex. Among the previously unknown themes and images are forced displacement, in general, images of Ukrainian refugees who managed to leave the occupied territories and overcome the roads of death.
C o n c l u s i o n s . Shevchenko's poetic world outlined the main principles of Ukrainian resistance to imperial policy, recorded the cultural memory of Ukrainians, and created a kind of archive where fama, the honour of heroes who gave their lives in the fight against the invaders, occupies a central place. The latest Russian-Ukrainian war provoked an unprecedented resistance of the Ukrainian people, which was fully reflected in art, in particular in poetry, and continued and expanded Shevchenko's, in particular the ideas of the defender of the native land and the enemy who came to desecrate it.
RECEPTION OF TARAS SHEVCHENKO'S WORK BY ANATOLII POGRIBNYI. SHEVCHENKO'S IMPERATIVES AND US
Authors:   Professional Pre-Higher Education Institution "Optical-Mechanical College" Taras Shevchenko National University of Kyiv, Holovai Iryna
Published: February 2025

B a c k g r o u n d . The purpose of the article is to update the journalistic legacy of the doctor of philological sciences, professor, laureate of the Taras Shevchenko National Award. Literature review The study and analysis of the source base of the research gives grounds for asserting that the Shevchenko aspect of the scientific and journalistic heritage of A. Pogribnyi has not yet been the subject of a special study. In works O. I. Vishnevskyi, H. M. Hrymych, V. G. Donchyka, P. P. Kononenko, P. M. Movchana, O. A. Khomenko, S. V. Shebelist, I. P. Yushchuk are highlighted facts and directions of activity of A. Pogribnyi. The article updates the journalistic, literary, and journalistic legacy of Anatolii Pogribnyi. The scientist embodied Shevchenko's imperatives in life with his literary and journalistic activities. The article summarizes journalistic reflections on Taras Shevchenko, professor, laureate of the Taras Shevchenko National Award, Anatolii Pogribnyi.
M e t h o d s . In the study of this topic, biographical, analytical, receptive and intertextual methods of researching the journalistic heritage and journalistic activity of Anatolii Pogribnyi were used.
R e s u l t s . Generalization of life and scientific and journalistic work of Anatolii Pogribnyi.
C o n c l u s i o n s . The analysis of Anatolii Pogribnyi's scientific and journalistic works, in particular the publication "Shevchenko's Imperatives and we", reveals the topical issues that worried the literary critic and journalist in the context of
Shevchenko studies. A. Pogribnyi, referring to Shevchenko's imperatives, prompts modern Ukrainians to think and realize the urgent issues of nation-building and overcoming the inferiority complex of Ukrainians. A. Pogribnyi's life, journalistic and social activities, scientific and journalistic heritage are the constant embodiment and implementation of Shevchenko's current imperatives. A. Pogribnyi left few works devoted to the figure of T. Shevchenko, however, in his radio broadcasts and journalistic articles, he constantly appeals, updates, conducts a dialogue in time with Taras Shevchenko. The scientific and journalistic heritage and role of Anatolii Pogribnyi in the formation of modern literary journalism and national consciousness of Ukrainians still awaits thorough study and research.
Assessment of changes in hygienic indicators of drinking water from сentralized water supply systems during transportation
Authors: Shmeleva Valeria D. , Kislitsyna Lidiya V. , Romanova Olga B. , Alenitckaia Marina V. , Pugacheva Eva S.
Published: February 2025

BACKGROUND: Although the majority of drinking water from centralized water supply systems meets the established standards, its quality still may be compromised during its transportation to the end user via pipeline systems.
AIM: To assess the changes in the composition of drinking water from centralized water supply systems during transportation with the Primorsky Territory as an example.
MATERIALS AND METHODS: The findings of the 2016–2022 laboratory studies conducted by the Center for Hygiene and Epidemiology in the Primorsky Territory as part of the social and hygienic monitoring program (189 monitoring points) were subjected to analysis. The pre- and post-distribution network data were compared using Microsoft Office Excel. The analysis of 18 indicators (19,485 pairwise comparisons) was conducted using IBM SPSS Statistics, while spatial visualization was performed with ArcGIS 10.8.2.
RESULTS: Among the hygienic indicators, the color of water significantly (p=0.005) intensifies after passing via the water supply pipeline system. Correlation analysis indicates that the color intensification may be attributed to the oxidizability of iron, manganese, and permanganate (r=0.28; r=0.21; r=0.13 at p 0.05, respectively). The hydrogen index demonstrates a tendency to shift towards an acidic medium, particularly during the summer months (χ2=14.5; p=0.002). The assessment of the influence of the water dispenser type revealed a tendency of the iron and some microbiological indicators to accumulate in standpipe systems, while the concentrations of these indicators were found to be decreased in building taps. The indicative significance of the microbiological indicators (generalized coliform bacteria, E. coli, enterococci) was recently highlighted in regulatory documents on the hygienic assessment of water quality. These bacteria are more frequently found in the distribution network than the nowadays excluded coliform bacteria, both general and thermotolerant. A spatial analysis of the proportion of drinking water samples that deteriorate during transportation enabled the identification of the water supply systems in the region where transportation represents a significant factor influencing the deterioration of water quality.
CONCLUSION: The retrospective analysis of the changes in the composition of drinking water from centralized water supply systems during transportation identified the indicators that are most susceptible to changes. This can be used when planning the upgrade of the water supply and treatment systems.
Quantitative microbial risk assessment for drinking water-associated population
Authors: Baydakova Elena V. , Unguryanu Tatiana N.
Published: February 2025

The risk assessment method is used to study the probability of adverse public health outcomes when using contaminated drinking water, with acute intestinal infections representing a predominant concern. A quantitative microbial risk assessment is a mathematical system designed to calculate the probability of the development of the infectious diseases caused by the pathogenic microorganisms present in drinking water. The microbial risk assessment method integrates epidemiological and sanitary-hygienic monitoring data to calculate the risk of water-associated diseases. This method aims to identify and mitigate the risk of the waterborne outbreaks of infectious diseases and reducing the prevalence sporadic (background) infections caused by water-transmitted pathogens. As a result of the aforementioned method and the availability of online calculators, researchers now can utilize a tool for calculating the probability and risk of occurrence of infectious diseases when using low microbial quality drinking water. This review presents the stages of the microbial risk quantitative assessment with a description of the calculation methods, describes the sources of the data necessary to assess the risk, presents the formulas for calculating the probability depending on the type of infectious pathogen, and provides the links to online calculators allowing for quick calculations.
Urinary incontinence as a medical and social problem in post-stroke patients
Authors: Palatkin Pavel P. , Vladimirova Oksana N. , Vasilchenko Elena M. , Khokhlova Olga I.
Published: February 2025

BACKGROUND: Urinary dysfunction, particularly neurogenic lower urinary tract disorder, is a significant issue among post-stroke patients, requiring focused attention from the medical community.
AIM: To assess the prevalence of urinary dysfunction caused by neurogenic bladder disorders in patients recovering from acute cerebrovascular accidents admitted for the second stage of medical rehabilitation. The study also evaluated the impact of urinary incontinence on functional life outcomes.
MATERIALS AND METHODS: The study analyzed 88 hospitalizations for the second stage of rehabilitation involving post-stroke neurosurgery patients with rehabilitation routing scale scores of 3–5. Patients with severe cognitive impairments preventing the evaluation of urinary function were excluded. The impact of urinary dysfunction on the medico-social sphere was assessed using the following questionnaires: ICIQ-SF, FIM, FAS, and SF-36.
RESULTS: Urinary dysfunction was identified in 46.6% of post-stroke patients with rehabilitation routing scale scores of 3–5. The prevalence of urinary dysfunction increased in patients more than three years post-stroke. Patients with urinary dysfunction were more likely to require assistance with sphincter control. Additionally, urinary dysfunction significantly affected the quality of life and increased fatigue levels among post-stroke patients.
CONCLUSION: Identifying urinary dysfunction and implementing targeted measures to address and compensate for these disorders are essential components of comprehensive rehabilitation for post-stroke patients.
Modern hardware technologies with biofeedback (HandTutor) for normalizing muscle strength and tone in post-ischemic stroke patients
Authors: Sidyakina Irina V. , Lupanovа Ksenia V. , Koneva Elizaveta S.
Published: February 2025

BACKGROUND: The high prevalence of acute cerebrovascular accidents, frequently accompanied by persistent upper limb dysfunction, leads to prolonged disability. Addressing this significant medical and social problem requires the development of novel neurorehabilitation algorithms.
AIM: To assess the effects of using hardware-based biofeedback (BFB) in combination with functional programmed electrical and magnetic stimulation on muscle tone in patients recovering from ischemic stroke.
MATERIALS AND METHODS: The study included 117 patients (mean age 61.2 ± 3.4 years) diagnosed with ischemic stroke within 3 days to 12 months prior to enrollment, verified as post-stroke condition according to ICD-10. The cohort comprised 68 men (58.1%) and 49 women (41.9%), who were randomized into four groups based on combinations of methods applied alongside a unified non-pharmacological therapy: Group 1 (Control—Functional Electrical Stimulation) included 28 patients who underwent fine motor skill restoration activities combined with functional programmed electrical stimulation; Group 2 (Control—Magnetic Stimulation) included 30 patients who underwent fine motor skill restoration activities combined with magnetic stimulation; Group 3 (BFB + Functional Electrical Stimulation) comprised 32 patients who received rehabilitation using HandTutor biofeedback technologies combined with functional programmed electrical stimulation; and Group 4 (BFB + Magnetic Stimulation) comprised 27 patients who underwent rehabilitation using HandTutor biofeedback technologies combined with magnetic stimulation.
RESULTS: Rehabilitation measures contributed to improved muscle strength and normalized muscle tone in all groups. However, incorporating biofeedback-based HandTutor into the rehabilitation program resulted in statistically significant enhancements compared with the control groups. Muscle strength increased by 17.7–22.3% after the rehabilitation course (22.7–31.6% after 12 months), while muscle tone decreased by 21.3–48.4% (21.3–57.3% after 12 months) as assessed using the spasticity scale.
CONCLUSION: Integrating biofeedback methods with functional programmed electrical and magnetic stimulation into rehabilitation programs for patients with upper limb fine motor impairments after ischemic stroke significantly improves muscle strength and normalizes muscle tone.
Penerapan Lembar Kerja Peserta Didik Berbasis PjBL pada Materi Sistem Pencernaan Manusia di Kelas V
Authors: Pradani Devy Kusuma , Fawzi Ary
Published: February 2025

Salah satu strategi untuk dapat meningkatkan kemampuan belajar dan mengembangkan kreativitas peserta didik adalah dengan menerapkan Lembar Kerja Peserta Didik (LKPD) berbasis Project-Based Learning (PjBL). Penelitian ini bertujuan untuk mengetahui penerapan LKPD berbasis PjBL pada materi sistem pencernaan di kelas V SDN Ketawanggede, termasuk kendala yang dihadapi serta upaya-upaya dalam mengatasi kendala yang ada. Metode yang digunakan dalam penelitian ini ialah metode kualitatif dengan menggunakan teknik pengumpulan data observasi, wawancara dan dokumentasi. Hasil penelitian menunjukan bahwa penerapan LKPD berbasis PjBL pada materi sistem pencernaan manusia di kelas V SDN Ketawanggede Malang menunjukkan hasil yang cukup baik dan dapat meningkatkan kretaifitas peserta didik. Namun, terdapat beberapa kendala yang dihadapi oleh guru, seperti lama waktu yang dibutuhkan untuk mengerjakan LKPD, membutuhkan peralatan dan media yang sesuai, dan membutuhkan petunjuk yang sesuai untuk mengarahkan peserta didik. Adapun beberapa upaya yang dapat dilakukan oleh guru untuk mengatasi kendala tersebut yaitu mengatur waktu dan tugas yang cukup untuk mengerjakan LKPD, guru dapat mengatur peralatan dan media yang sesuai untuk mengerjakan LKPD, guru dapat mengatur petunjuk yang sesuai untuk mengarahkan peserta didik dengan membuat petunjuk yang mudah dipahami, menggunakan contoh yang jelas, dan mengarahkan peserta didik dalam proses pengerjaan LKPD.
Pemanfaatan Aplikasi Quizwhizzer untuk Menumbuhkan Minat Belajar Siswa pada Model Pembelajaran Berbasis Permainan
Authors: Hermawan Mochammad Riyan , Suharto Yusuf
Published: February 2025

Penelitian ini membahas penggunaan aplikasi Quizwhizzer dalam model pembelajaran berbasis permainan, yang terbukti efektif dalam menumbuhkan minat belajar siswa. Dengan menggunakan studi literatur dan analisis deskriptif, penelitian ini menunjukkan bahwa aplikasi Quizwhizzer dapat meningkatkan minat dan motivasi belajar siswa dibandingkan dengan metode konvensional. Hasil penelitian juga mengungkapkan bahwa penggunaan aplikasi ini tidak hanya berdampak pada peningkatan minat dan motivasi belajar, tetapi juga meningkatkan keterlibatan siswa dalam pembelajaran. Siswa yang menggunakan aplikasi ini lebih aktif dalam diskusi kelas dan lebih berpartisipasi dalam kuis interaktif, yang secara positif memengaruhi pemahaman mereka terhadap materi pelajaran. Selain itu, Quizwhizzer menyediakan umpan balik instan yang membantu siswa memahami kesalahan mereka dan meningkatkan prestasi belajar secara keseluruhan. Implikasi dari penelitian ini menunjukkan bahwa aplikasi Quizwhizzer dapat menjadi alat yang efektif dalam merancang pengalaman pembelajaran yang menarik dan bermakna, sehingga berkontribusi pada peningkatan minat belajar siswa di era pendidikan digital saat ini.
Ritual Pemindahan Hujan dalam Tradisi Jawa sebagai Ide Penciptaan Seni Lukis
Authors: Wicak Fibri Wicaksana , Ponimin Ponimin , Prasetyo Abdul Rahman
Published: February 2025

Ritual pemindahan hujan adalah tradisi budaya Indonesia yang berupaya mengatur cuaca dalam suatu wilayah. Dalam karya lukis ini, seniman mengangkat ritual penolakan hujan dari tradisi Jawa sebagai inspirasi. Penelitian ini bertujuan mendeskripsikan konsep ritual tersebut, memvisualisasikan makna dan unsur-unsurnya dalam seni lukis, serta menjelaskan makna visual dari karya tersebut. Pameran ini bertujuan untuk menghormati dan mempromosikan warisan budaya Jawa yang kaya dan unik. Melalui pameran ini, pengunjung diajak untuk memahami lebih dalam tentang ritual pemindahan hujan, serta pentingnya melestarikan budaya lokal di era modern. Seniman berperan penting dalam menjaga kelangsungan budaya Jawa, sekaligus meningkatkan kesadaran akan pentingnya peles-tarian identitas budaya Indonesia. Karya seni ini menggunakan gaya ekspresionisme untuk menyampaikan makna ritual secara emosional dan mendalam. Dengan pendekatan ekspresionis, seniman merangsang emosi penikmat seni, memungkinkan mereka merasakan ritual tersebut dengan intens. Melalui lukisan ini, unsur-unsur budaya Jawa dan ritual pemindahan hujan dihadirkan dalam dunia seni yang penuh emosi, menghasilkan interpretasi yang unik dan memikat. Dengan demikian, lukisan ekspresionisme ini menjadi sarana kuat untuk menyampaikan makna budaya dan memperdalam pemahaman tentang tradisi Jawa.
Herramientas de Gestión de Protecciones para Optimizar Procesos Operativos y de Mantenimiento en Empresas del Sector Eléctrico
Authors: Tobar Rosero Oscar Andrés , Vargas Días Jair Hernan , García Sierra Rodolfo , Zapata madrigal Germán Darío , Candelo Becerra Jhon Edwin
Published: February 2025

Introducción: Las protecciones eléctricas han pasado de ser un elemento de seguridad a convertirse en un sistema que cuenta con mucha información y que puede ser utilizado para funciones como registro de señales, control, automatización, comunicaciones, entre otras. Sin embargo, muchas empresas han instalado dispositivos avanzados que no están siendo aprovechados al máximo y puede ser de interés explotar estas posibilidades en el sector eléctrico.
Objetivo: Este artículo tiene como objetivo evaluar el desempeño de la funcionalidad, manejo y ciberseguridad en cinco diferentes herramientas de gestión de protecciones (HGPs).
Metodología: Se realiza un trabajo experimental con análisis cuantitativo evaluando tres categorías principales como son la ciberseguridad, el manejo y la funcionalidad. Además, se comparan trece aspectos y cinco HGPs. Los datos transmitidos en la arquitectura de comunicación desde los equipos de protección eléctrica son capturados por un software de monitoreo de la red para su respectiva comparación con los datos originales validados con la técnica hash que verifica su integridad. Se realiza una comparación entre la información que sale de cada dispositivo electrónico inteligente (IED) con la que llega a las HGPs, evaluando su comportamiento y tiempos de entrega de datos. Finalmente, se comparan los trece aspectos, describiendo sus ventajas y desventajas y logrando una valoración cuantitativa de su desempeño.
Resultados: Los resultados muestran una ponderación cuantitativa asignada a ciberseguridad 40%, manejo 30% y funcionalidad 30%. La HGP 1 obtiene un rendimiento global del 73,1%; la HGP 2 del 59,6 %, la HGP 3 del 59,6 %, la HGP 4 del 48,8 % y la HGP 5 del 24,6 %. La HGP 4 obtuvo en ciberseguridad un máximo de 90,4%, la HGP 3 en manejo 74,4% y la HGP 1 en funcionalidad 77,6%. Finalmente, se realiza un análisis de riesgo de los HGPs basado en una evaluación cualitativa en aspectos como compatibilidad, escalabilidad, interoperabilidad, gestión de datos, ciberseguridad de la información y respaldos. La HGP 2 presenta un riesgo predominantemente alto, la HGP 4 alcanza un riesgo bajo y las demás HGPs obtienen un riesgo medio.
Conclusiones: Se concluye que la actuación de los IED en las HGPs evaluadas puede darse con diferentes actuaciones y comportamientos. Por lo tanto, es importante realizar este tipo de análisis antes de las implementaciones empresariales. La ciberseguridad es un tema de continuidad del negocio, por lo que los resultados que se obtengan en esta materia de cada HGP, como es el caso de la vulnerabilidad del protocolo TLSv1.0 y del protocolo OpenVPN, combinado con las vulnerabilidades generadas utilizando sistemas operativos que requieren una constante actualización del sistema.
Towards a Methodology for the Development of Educational Resources Based on Augmented Reality Technology
Authors: Aguilar Vera Raúl , Sosa Jiménez Eduardo , López Martínez José L. , Peña Pérez Negrón Adriana
Published: February 2025

Introduction: The teaching development of computerized educational resources and materials is an increasingly common task; However, when these materials require the use of disruptive technologies such as Augmented Reality, the process is complicated, especially when there is no training in the programming area.
Objective: This study aims to generate and make available to teachers, a methodological alternative for the development of computerized educational materials based on Augmented Reality technology.
Method: For the study, a research and development methodology was used through a systematic literature review, for the identification of areas of opportunity around processes for the elaboration of educational materials, then a first methodological proposal was made using verification processes to through the development of two didactic materials, and validation through the expert judgment technique of the Software Engineering area to provide feedback on the methodological proposal built.
Results: The research work generated a methodological framework, which aims to support teachers in the generation of Educational Materials based on Augmented Reality, through a simple and intuitive procedure, without the need to have programming knowledge or, failing that, work with a professional software developer prior to the implementation of high levels of interaction.
Conclusions: According to the empirical verification and evaluation processes, it is possible to affirm that the phases adequately combine the technological and pedagogical aspects for the Development of Educational Materials based on Augmented Reality, regardless of the learning domain. As future work, the authors consider that it is necessary to work on the development of a high-level platform that considers the steps proposed in the implementation phase to provide a tool that assists teachers in the development of the Computerized Educational Materials based on Augmented Reality.
PREMUCC: Design proposal for a microservices architecture for the development of a context-aware dropout prediction system
Authors: Arenales Laury , Gonzalez Joseph , Saldana-Barrios Juan Jose
Published: February 2025

Introduction: This article presents the PREMUCC system, a proposal based on microservices to predict context-aware college dropout in higher education. Student attrition is a concerning issue addressed by this innovative solution, enabling personalized support and informed decision-making.
Objective: The objective of the PREMUCC system is to anticipate university dropout through the use of machine learning techniques and a microservices architecture, providing personalized support to students and facilitating educational management.
Method: The proposal for PREMUCC was based on analyzing dropout prediction systems and microservices architectures. Technologies and data analysis processes were identified to ensure system efficiency and accuracy.
Results: The PREMUCC system integrates six microservices encompassing user authentication, previous studies analysis, psychological testing, grade tracking, financial evaluation, and the prediction system. Students access personalized information to improve their academic performance.
Conclusions: The PREMUCC proposal represents a significant advancement in mitigating college dropout. Its focus on microservices and modern technologies enables closer tracking of each student's context, supporting informed decision-making. Its implementation could enhance the educational system, saving resources, time, and effort. It is proposed to strengthen the architecture and evaluate its effectiveness in real higher education settings.
Tendencias Globales de Innovación y Productividad en Microcirugía para la Cirugía Plástica: Un Análisis Bibliométrico
Authors: Guzmán Español Juan Sebastián , Sierra Madera Steven , Martínez Daza Tatiana Caterine , Peñarredonda Torres Gisela , Durango Velásquez Juliana María , Niño Mora Diana Margarita , Casas Giraldo Giovanni Esteban , Romero Amaya Christian Camilo , Picón Jaimes Yelson
Published: February 2025

Introducción: La microcirugía aplicada a la cirugía plástica ha experimentado un crecimiento significativo desde 1976, especialmente en ámbitos como la reconstrucción mamaria y el manejo de colgajos quirúrgicos. Sin embargo, persisten desigualdades en la producción científica y el acceso global a esta tecnología.
Objetivo: Este estudio bibliométrico analizó las tendencias globales de productividad, innovación, colaboración y brechas en microcirugía aplicada a cirugía plástica.
Metodología: Se realizó un análisis bibliométrico de publicaciones indexadas en Scopus, utilizando términos relacionados con microcirugía y cirugía plástica. Se aplicaron técnicas de mapeo científico y análisis cienciométricos para evaluar la producción global, colaboraciones internacionales y temáticas de investigación.
Resultados: Se identificaron 282 documentos, con Estados Unidos liderando la producción científica e impacto (índice h de 24). Microsurgery fue la revista más prolífica, mientras que Plastic and Reconstructive Surgery destacó por su impacto. Las áreas temáticas principales incluyeron reconstrucción mamaria y colgajos quirúrgicos. Desde 2012, se ha observado un aumento notable en la producción científica. Las redes de colaboración internacional son predominantemente a expensas de países de altos y altos y medianos ingresos.
Conclusiones: Este análisis proporciona una visión integral de las tendencias globales en microcirugía aplicada a la cirugía plástica, destacando el papel central de las colaboraciones internacionales y las áreas temáticas emergentes. Los hallazgos tienen implicaciones relevantes para la toma de decisiones basada en evidencia y el diseño de políticas que promuevan la equidad en investigación y atención quirúrgica especializada.
Victoria 4.0: plataforma para la gestión inteligente de permisos de trabajo en tareas de alto riesgo
Authors: Santiago Almanza Kemmer , Jiménez Bolívar Fabrielo Alfonso , Ovallos Gazabon David Alfredo , Bernal Peralta Jorge Francisco , Alfaro Parada Natali Johana , Callan Bacilo Richard
Published: February 2025

Introducción: la generación de un permiso de trabajo involucra la gestión de documentación especializada que dé cuenta de la cualificación del empleado para determinada tarea, un proceso que suele ser dispendioso.
Objetivo: crear una plataforma integrada que les permita a las empresas usuarias gestionar de manera inteligente y eficiente los procesos de generación de permisos de trabajo para tareas de alto riesgo.
Metodología: se aborda la caracterización del sector mediante el levantamiento de requerimientos con empresas de alto riesgo. El diseño implica el uso de tecnologías como DigitalOcean®, Rails®, PHP®, Ubuntu®, MySQL® y Power BI. La plataforma sigue un proceso integral de extracción, transformación y carga de datos, respaldado por un Data Warehouse.
Resultados: se destaca la prevalencia de métodos manuales en la gestión de permisos, justificando la pertinencia de Victoria 4.0 para agilizar procesos y garantizar la fiabilidad de los datos. Se detalla la interacción del usuario, resaltando su interacción intuitivita, y se describen mejoras específicas en ciertas funcionalidades. Además, se discuten las perspectivas comerciales de Victoria 4.0, comparándola con otras opciones del mercado y destacando su adaptabilidad a regulaciones locales.
Conclusiones: Victoria 4.0 no solo es una alternativa valiosa y atractiva para las empresas que tienen la obligación de gestionar permisos de trabajo para sus empleados, sino que además cuenta con perspectivas de crecimiento significativas en un mercado estimado en más de 2 billones de dólares.