bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating the effects of a novel gamified cognitive training on adolescent mental health
Authors: Grunewald Karina , Minihan Savannah , Andrews Jack L. , Songco Annabel , Blakemore Sarah-Jayne , Chau Anson Kai Chun , Fischer Jaimee , Fox Elaine , Nelissen Alba Bruggeman , Raffe William , Richards Matthew , Werner-Seidler Aliza , Schweizer Susanne
Published: February 2025

Background
Adolescence is a time of increased emotional volatility, with emotion regulation still developing. Training the cognitive substrate of successful emotion regulation has been shown to benefit adolescents’ mental health. However, cognitive training interventions often have low adherence rates in this age group. The current study therefore trialled a novel gamified cognitive training program in adolescents.
Methods
A longitudinal study was conducted throughout 2023 where 144 culturally diverse adolescents (13–16 years, 48% female) completed 12 days of either a novel gamified affective control training program, the Social Brain Train (SBT), or a standard non-gamified affective control training program (AffeCT). Participants also completed mental health and mechanisms of change questionnaires at baseline, post-training, and 1-month follow-up, as well as behavioural affective control and interpretation bias measures at baseline and post-training.
Results
The total minutes spent training did not differ significantly across the two training groups. Participants assigned to SBT training, however, did engage in more training sessions than participants assigned to AffeCT training. Additionally, all participants showed improvements in affective control performance and a reduction in interpretation bias and rumination from baseline to post-training. The observed reduction in rumination persisted at 1-month follow-up.
Conclusions
As engagement is often the most difficult thing to achieve in cognitive training with adolescents, observing greater repeated engagement with the gamified cognitive training is promising, given training on these apps is entirely self-motivated. Observing benefits to affective and cognitive control performance and reduced interpretation bias and rumination tendencies after very limited training is also promising, as these factors have all been previously linked to improved mental health symptoms among adolescents. The present findings therefore suggest there may be merit in using gamification techniques to improve the design of future training programs, and employing these to improve affective, cognitive, and emotion regulation abilities in adolescents.
Thermophiles in Nanosized Biocalcification: a Novel Approach for Heavy metal Remediation
Authors: Negi Sujata , Sharma Shagun , Pant Deepak , Sharma Sonali , Chauhan Kalpana , Giri Anand , Kumar Manoj , Parida Kulamani
Published: February 2025

Biodeposition of minerals is a prevalent occurrence in the biological realm, facilitated by various organisms such as bacteria, protists, fungi, and plants. Calcium carbonate is one such mineral that precipitates naturally as a consequence of microbial metabolic processes. This study investigates an innovative approach for carbon dioxide (CO2) sequestration by utilizing thermophilic microorganisms (bacteria and enzymes) in the conversion of CO2 into CaCO3 and methanol. The thermophilic bacterial strains of Bacillus licheniformis and enzymes formaldehyde dehydrogenase (FalDH) and alcohol dehydrogenase (ADH) were screened for their ability of microbial-induced carbonate precipitation (MICP). The research focuses on identifying the various optimal conditions, such as CO2 concentration, bacterial concentration, pH, time, and temperature, for CaCO3 biosynthesis. Both strains of Bacillus licheniformis found to be the most efficient in biocalcification. Notably, these microbes also redirected their great potential towards the heavy metal remediation strategy. Heavy metals are non-biodegradable, and as they persist in the environment, they accumulate and magnify in ecosystems, intensifying the harmful effects on living organisms. Thermophilic bacterial strain excellently removes Pb (II) ions from aqueous solutions of MICP with 90% efficiency, and nanosized (35.85 nm, 38.58 nm) biominerals were formed. These comparative findings provide valuable insights for optimizing bio-based carbonate production in CO2 sequestration technology.
Disparities in Avoidance Behaviours to Air Quality Information Disclosure Exacerbate Environmental Inequality
Authors: Yan Haosheng , Xie Lunyu , Yu Dongli
Published: February 2025

Environmental inequality among people of different socioeconomic statuses are well documented in the literature. However, the effects of individual avoidance behaviours on the inequality are often overlooked. We address this question by examining how individuals of different socioeconomic statuses adapt their daily travel behaviors in response to air pollution information. We apply the regression discontinuity (RD) design using individual-level travel records from the Fifth Beijing Urban Transportation Comprehensive Survey. The results demonstrate that air pollution information disclosure significantly reduces the probability and duration of travel. This effect is weaker in the low-income group than in the high-income group, indicating it exacerbates environmental inequality. Moreover, the results reveal that lower avoidance behaviours in the low-income group, compared to the high-income group, stem from lower avoidance awareness and capability. These findings highlight the importance of considering avoidance behaviours when addressing environmental inequality.
Association of the visceral adiposity index with osteoarthritis among the U.S. adult females from NHANES 2011-2020: a cross-sectional study
Authors: Qiu Yijian , Deng Shuai , Xiang Wang , Guo Shifang , Yang Shanggeng , Li Enchen , Wu Qingsong
Published: February 2025

Background
The visceral adiposity index(VAI) is a marker of abdominal fat distribution and adipose tissue function. However, the association between VAI and osteoarthritis(OA) is unclear among the U.S. adult females.
Methods
Cross-sectional data for adults aged 20 years and older from 2011–2020 National Health and Nutrition Examination Survey(NHANES) were included. Weighted multivariate logistic regression analyses were used for assessing the correlation between VAI and OA. Subgroup analyses were performed to validate the finding. Moreover, mediation analysis was conducted to access the magnitude of the mediating effect of the BMI on the relationship between VAI and OA. Finally,the nonlinear relationship between VAI and OA was assessed by restricted cubic spline(RCS).
Result
There was a significant positive association between VAI and the OA, even after adjusting for multiple potential confounders(p for trend = 0.05). Subgroup analyses showed that the positive association between VAI and OA persisted in all populations with different characteristics, confirming its validity in all populations. Besides, the result of the mediation analysis indicated that the mediating effect of VAI on osteoarthritis through BMI is significant(p for trend < 0.01). Finally, RCS result showed a significant nonlinear relationship between VAI and OA(p-non-linear < 0.05).
Conclusions
Our findings indicated that there is a possible nonlinear positive correlation between VAI and OA. In addition, the nonlinear relationship between VAI and osteoarthritis warrants further study.
War and political motive for vaccine access suppression; Qualitative Explorations of Barriers to Child Vaccination Service in war-torn Tigray, north Ethiopia
Authors: Meles Abraham Gebrelibanos , Kahsay Znabu Hadush , Ayele Brhane , Hadgu Tsegay , Gebretnsae Hailay , Kahsay Hayelom , Alemayehu Mussie , Medhanyie Araya Abrha
Published: February 2025

Introduction:
Despite fast improvements in global vaccination service delivery networks, populations in conflict zones frequently have limited or no access to life-saving vaccines. The COVID-19 pandemic and the devastating war in Tigray significantly affected access to child vaccination. Timely, context-specific, and empirical evidence is crucial to designing recovery strategies to make vaccination accessible in conflict settings. The current study aimed to explore barriers to accessing child vaccination services in a war-torn Tigray region, in Northern Ethiopia.
Methods
A qualitative study was employed to explore the barriers to accessing child vaccination services among children aged 0–24 months. Three Focused Group Discussions, four in-depth interviews with women having children aged 0–24 months, and six Key Informant Interviews were included in the study. Discussions and interviews were facilitated using semi-structured guides, audio-taped, transcribed verbatim, and coded and analyzed using Atlas. ti version 9.0. Data were thematically analyzed.
Results
During the war in Tigray, there were barriers to accessing vaccination services for children aged 0–23 months, primarily due to vaccination service supply denial, security concerns to parents about visiting health facilities, damage and looting of health facilities, community and care providers displacement, and a gap in health system leadership communication and service monitoring. Participants frequently also described the consequences of service denial, such as a delay in vaccination initiation, an increase in the prevalence of vaccine-preventable diseases and child mortality, during a search for vaccine service increased security, and the economic burden of mothers and parents, traveling long distances to see traditional healers and holy water.
Conclusion & recommendations
: during the conflict in Ethiopia, Tigray region, mainly because of supply denial and security concern-related barriers, children aged 0–23 months old were denied their fundamental health right to get life-saving vaccines and other systematic approaches tested during the conflict were not tried in our study area. Because of the life-saving vaccination service discontinuation, many children were left unvaccinated; vaccine-preventable morbidities and mortalities existed, and people were returning to traditional medicinal practice. Addressing the barriers in conflict zone areas needs systematic strategic approaches, and advocacy for vaccination service access during a conflict unconditionally.
Artoo-Detoo: What imitating a Star Wars droid reveals on allospecific vocal imitation in parrots and starlings
Authors: Dam Nick , Honing Henkjan , Spierings Michelle
Published: February 2025

Vocal production learning is a remarkable ability, exclusively present in a few mammalian species and three bird clades. Besides learning conspecific vocalizations, vocal production can also lead to integration of allospecific sounds in an animals’ repertoire. While parrots and songbirds are well known for their allospecific imitation abilities, structural differences in imitation accuracy across species remain unclear. This study compared nine parrot species and European starlings on their ability to imitate monophonic and multiphonic sounds produced by the Star Wars droid R2-D2. These complex synthesizer sounds allow for a strong comparative analysis with the same spectral complexity imitated by multiple species. Our results show that starlings have a higher accuracy when imitating multiphonic sounds than parrots. However, both groups performed equally well when imitating monophonic sounds. Differences in imitation accuracy likely stem from syrinx anatomy rather than perceptual or cognitive disparities. Among parrots, species with smaller brains, such as budgerigars and cockatiels, outperformed larger-brained African greys and amazon parrots in monophonic sound imitation. Our study highlights the great potential of citizen science for expanding data collection beyond traditional studies and sheds light on the evolution of communication complexity in vocal learners.
Associations of onset time, severity, and persistence of hypothyroxinemia with pregnancy outcomes: A retrospective study
Authors: Xu Danchen , Wang Xiayi , Yang Xingyu , Cheng Weiwei
Published: February 2025

Background
Evidence regarding adverse pregnancy outcomes in pregnancies with hypothyroxinemia remains controversial, and the effect of onset time, severity, and persistence of hypothyroxinemia has not been thoroughly investigated. This study aims to evaluate the associations between hypothyroxinemia and adverse pregnancy outcomes with respect to the onset time, severity, and persistence of hypothyroxinemia.
Methods
This retrospective cohort study included 51, 305 ﻿singleton pregnancies ﻿who delivered at a tertiary hospital between January 2017 and December 2021. Thyroid function data and clinical information were obtained through digital medical records. Participants were categorized into euthyroid and hypothyroxinemia group according to free thyroxine (FT4) and thyrotropin (TSH) values in the first (gestational week 9-13) and third trimester (gestational week 32-36). Hypothyroxinemia was defined as FT4 < 10th gestational age-specific percentile in combination with TSH level within the 10th-90th percentile. Pregnancy outcomes were compared between women with hypothyroxinemia and euthyroidism with respect to the onset time, severity, and persistence of hypothyroxinemia. The associations between hypothyroxinemia and adverse outcomes were assessed using binary logistic regression in crude and adjusted models.
Results
Compared with the euthyroid group, hypothyroxinemia in the first trimester was associated with higher risk of Cesarean delivery (adjusted odds ratio [aOR], 1.20, 95% confidence interval [CI]: 1.11-1.29), macrosomia (aOR, 1.25, 95%CI: 1.08-1.44), and gestational diabetes mellitus (GDM) (aOR, 1.49, 95%CI: 1.36-1.63), and the risk increased as FT4 levels decreasing. Hypothyroxinemia in the third trimester was linked with heightened risk of Cesarean delivery (aOR, 1.52, 95%CI: 1.40-1.66), macrosomia (aOR, 1.44, 95%CI: 1.27-1.73), pre-eclampsia (aOR, 1.72, 95%CI: 1.38-2.14), and gestational hypertension (aOR, 1.44, 95%CI: 1.18-1.76), and the risk was negatively correlated with FT4 levels. Persistent hypothyroxinemia was linked with an increased risk of Cesarean delivery (aOR, 1.50, 95%CI: 1.28-1.76) and GDM (aOR, 1.45, 95%CI: 1.19-1.76). ﻿
Conclusion
This study revealed that both the first- and third-trimester hypothyroxinemia were associated with increased risk of Cesarean delivery and macrosomia, and the risk increased as the FT4 levels decreasing. However, the relations of hypothyroxinemia with pre-eclampsia, gestational hypertension, and GDM varied by the gestational age when hypothyroxinemia was diagnosed and the persistence of hypothyroxinemia.
Graph-Based Analysis of Chaotic Dynamics in the Double Pendulum System
Authors: Bakim Sumeyye , Ozalan Nurten Urlu , Gulbahce Erdi
Published: February 2025

Understanding the interplay between spatial and kinematic properties in chaotic systems is crucial for advancing nonlinear dynamics, yet remains a challenging problem. The double pendulum, as a classic example of deterministic chaos,
provides a rich platform for exploring these dynamics, making its study highly relevant to researchers in nonlinear systems. Previous works have extensively analyzed the trajectories of the double pendulum using traditional numerical and analytical methods, offering insights into its chaotic behavior. However, these approaches often fail to quantitatively link spatial relationships with physical motion under varying initial conditions, leaving gaps in our understanding of how geometry and dynamics interact. This study addresses these challenges by introducing a novel graph-theoretic framework to analyze the motion of the double pendulum. By representing trajectories as undirected graphs where nodes correspond to discrete positions of the pendulum bob and edges are defined based on a tunable threshold distance parameter ϵ we systematically explore the sensitivity of graph connectivity to ϵ. This methodology emphasizes the importance of careful parameter tuning to preserve trajectory continuity and ensure valid graph-based metrics. Through this framework, we hypothesize that graph representations will reveal meaningful correlations between spatial relationships (encoded as edge weights) and kinematic properties, providing a quantitative link between geometric and physical features. Additionally, sensitivity analysis is expected to uncover power-law relationships between ϵ and trajectory resolution, demonstrating the robustness of graph-based methods in capturing both regular and chaotic dynamics. These findings underscore the potential of graph theory as a versatile tool for analyzing the complex behavior of nonlinear systems, offering fresh insights into the intricate dynamics of chaotic phenomena such as those in the double pendulum.
The mTOR signaling pathway mediates the phenotypic switch between adipocytes and osteocytes in mice with obesity-related osteoporosis
Authors: Liang Chuanjie , Guo Yan , Liu Yongliang , Wang Yangjunjie , Xiao Jing , Li Haiying , Xiang Xinxin
Published: February 2025

Background: Obesity-related osteoporosis is a metabolic disorder of the adipose tissue and bone caused by energy accumulation. The role of adipogenic and osteogenic differentiation and phenotypic transformation in the pathogenesis of osteoporosis and the relevant signaling mechanism are still unclear.
Methods: Obesity-related osteoporotic mice were generated. Oil red and Von Kossa staining, RT-PCR , and western blotting were used to detect the differentiation capability of bone marrow mesenchymal stem cells (BMSCs) and the changes in related signaling pathways.
Results: High-energy states increased bone loss in ovariectomized mice, increased adipogenic differentiation, and inhibited the osteogenic differentiation of BMSCs from ovariectomized mice fed with a high-fat diet compared with those fed with a normal chow diet. The mTOR signaling pathway was activated during the adipogenic differentiation, while it did not change during the osteogenic differentiation of BMSCs from the ovariectomized group fed with a high-fat diet compared with the normal chow diet group. In vitro experiments showed that higher extracellular energy levels promoted adipogenic differentiation and inhibited osteogenic differentiation, while energy deficiency decreased adipogenic differentiation in mouse BMSCs through the mTOR signaling pathway.
Conclusion: The mTOR signaling pathway can mediate the phenotypic transformation of adipocytes and osteocytes in obesity-related osteoporotic mice.
PECULIARITIES OF TRANSLATING SCIENTIFIC AND TECHNICAL TERMS IN FICTION (BASED ON THE NOVEL BY ANDY WEIR “THE MARTIAN”)
Authors: Stepanov Vitalii , Yarmak Denys
Published: February 2025

The article reveals peculiarities of transfer of scientific and technical terms in rendering fiction works from a foreign language into Ukrainian. The article describes the typology of translation transformations for scientific and technical terms: lexical (transliteration, transcription, equivalent translation), lexical-semantic (specification, generalization, modulation, explication, compensation), lexical-grammatical (antonymic translation, grammatical substitution, transposition, sentence division and unification, decompression and compression, descriptive translation, compensation, holistic transformation). The paper describes how these techniques work in rendering scientific and technical terminology of the Martian novel by Andy Weir. The research material is the original text by Andy Weir and its official translations: professional (Vira Nazarenko) and amateur (Vitalii Miunkhen). An additional tool is authors’ own translation ideas. The method of comparative analysis is used to determine how appropriate it is to use specific translation equivalents in the translations by Vira Nazarenko and Vitalii Miunkhen. The accuracy of rendering original realities is compared. Reasons for appropriateness of using these rather than other translation techniques in the context are given. The works are compared in terms of stylistic and artistic aesthetics. Separately, the authors provide their own recommendations for translating certain fragments of the original text for successful reproduction of scientific and technical terms of the original paper. The study results unfold wide prospects for further research, for example in terms of rendering the original work within new cultures (for example, German).
Learning the simplicity of scattering amplitudes
Authors: Cheung Clifford , Dersy Aurélien , Schwartz Matthew
Published: February 2025

The simplification and reorganization of complex expressions lies at the core of scientific progress, particularly in theoretical high-energy physics. This work explores the application of machine learning to a particular facet of this challenge: the task of simplifying scattering amplitudes expressed in terms of spinor-helicity variables. We demonstrate that an encoder-decoder transformer architecture achieves impressive simplification capabilities for expressions composed of handfuls of terms. Lengthier expressions are implemented in an additional embedding network, trained using contrastive learning, which isolates subexpressions that are more likely to simplify. The resulting framework is capable of reducing expressions with hundreds of terms—a regular occurrence in quantum field theory calculations—to vastly simpler equivalent expressions. Starting from lengthy input expressions, our networks can generate the Parke-Taylor formula for five-point gluon scattering, as well as new compact expressions for five-point amplitudes involving scalars and gravitons. An interactive demonstration can be found at https://spinorhelicity.streamlit.app.
SHEEHAN SYNDROME
Authors: Kaoutar Ouahmane , Khalid Khaleq
Published: February 2025

Sheehan syndrome or postpartum hypopituitarism is a condition characterized by necrosis of the pituitary gland leading to hormones deficiency. Severe postpartum haemorrhage is the most common cause for the development of Sheehan syndrome. Pituitary gland enlargement, small sella turcica size, vasospasm, thrombosis, and coagulation abnormalities are among predisposing factors for restricted pituitary blood supply. The diagnosis of Sheehan syndrome is not always apparent in immediate postpartum.Symptoms may not present until months to years after delivery. The first and most common symptom of Sheehan syndrome is agalactorrhea with hyponatraemia being the most observedelectrolyte abnormality. Pituitary MRI is the imaging of choice for differential diagnosis. A partially or completely empty sella turcica point out the diagnosis of Sheehan syndrome. Management is based on lifelong hormone replacement therapy.
Enhancing river discharge inversion for the midstream Jialing River (China) using the Google Earth Engine platform
Authors: Chen Dejing , He Yi
Published: February 2025

This study focused on the Jinxi section of the Jialing River, utilizing data from Landsat 8, Sentinel-2, and MODIS accessed via the Google Earth Engine (GEE) platform. The objective was to estimate runoff by applying three models: the improved Manning's formula (Model 1), the relationship fitting method (Model 2), and the C/M signal method (Model 3). The models were evaluated based on their accuracy in runoff inversion, the influence of hydraulic parameters, and their suitability for medium-sized rivers. The results indicated that all three models performed well in simulating runoff, with Nash–Sutcliffe Efficiency coefficients exceeding 0.90. The root mean square error (RMSE) for the improved Manning's formula, the relationship fitting method, and the C/M signal method were 50.2, 117.1, and 69.5 m³/s, respectively, corresponding to relative RMSE (RRMSE) of 4.71, 16.15, and 5.88%. It was observed that both the improved Manning's formula and the C/M signal method generally underestimated flow, while the relationship fitting method tended to overestimate it. Overall, the improved Manning's formula and the C/M signal method outperformed the relationship fitting method in terms of accuracy and applicability.
Advanced machine learning models for robust prediction of water quality index and classification
Authors: Elmotawakkil Abdessamad , Enneya Nourddine , Bhagat Suraj Kumar , Ouda Mohamed Mohamed , Kumar Vikram
Published: February 2025

This study presents an in-depth analysis of machine learning (ML) techniques for predicting water quality index and water quality classification using a dataset containing water quality metrics such as temperature, specific conductance, salinity, dissolved oxygen, depth, pH, and turbidity from multiple monitoring stations. Data preprocessing included imputation for missing values, feature scaling, and categorical encoding, ensuring balanced input features. This research evaluated artificial neural networks, decision trees, support vector machines, random forests, XGBoost, and long short-term memory (LSTM) networks. Results demonstrate that XGBoost and LSTM significantly outperformed other models, with XGBoost achieving an accuracy range of 99.07–99.99% and LSTM attaining an R2 of 0.9999. Compared with prior studies, our approach enhances predictive accuracy and robustness, showcasing advanced generalization capabilities. The proposed models exhibit significant improvements over traditional methods in handling complex, multivariate water quality data, positioning them as promising tools for water quality prediction and environmental management. These findings underscore the potential of ML for developing reliable, scalable water quality monitoring solutions, providing valuable insights for policymakers and environmental managers dedicated to sustainable water resource management.
Seawater intrusion and infiltration modelling coupled to digital tools to avoid high saline concentrations in reclaimed water: application in coastal central Italy
Authors: Szelag B. , Ciuccoli N. , González-Camejo Josué , Giansanti C. , Kiczko A. , Eusebi A. L. , Palermo C. , Fatone F.
Published: February 2025

Industrial symbiosis approach was established between an industrial company and a water utility to prioritize the reuse of urban wastewater for industrial purposes. This requires low-salinity water, but this area is frequently affected by saline intrusion, thus creating water-related conflicts between the different economic activities. This study proposes a digital solution that combines dynamic simulation model (that predicts seawater intrusion and runoff) with digital tools, i.e., smart equalization (control algorithm) and matchmaking platform (decision support system). The models aim to predict the periods where significant peaks of salinity occurs, whereas the tools aim to distribute the wastewater and reclaimed water streams to diverse applications (industrial, agricultural) and/or treatments (conventional treatment, reverse osmosis) to maximize the amount of wastewater reused in efficient and sustainable way. During the 2D simulated period, wastewater conductivity was in range of 2100–2700 µS·cm−1. Although this conductivity was over the limit required for industrial reuse, the digital solution implemented in this study enabled to recover 71% of the total wastewater produced for industrial purposes and 10% for irrigation, only discharging 19% of the total. The approach implemented in this study would be very useful to be replicated in coastal areas where saline intrusion is relevant.
Desenvolvimento de um dispositivo para monitoramento de painéis fotovoltaicos
Authors:   , Bastos Matheus Fonseca
Published: February 2025

A busca incessante pelo desenvolvimento de uma matriz energética sustentável representa hoje
um dos maiores desafios a serem enfrentados pela humanidade e, dentre as diversas ações que
podem ser realizadas, o uso de fontes alternativas de energia renováveis é sem dúvida uma das
mais importantes. Dentre as fontes alternativas de energia renováveis a energia solar
fotovoltaica é a que vem recebendo mais atenção dentro da comunidade cientifica atual, por ser
uma fonte limpa, renovável e com baixo índice de manutenção. No entanto, apesar de apresentar
diversos benefícios, por ser uma tecnologia relativamente nova quando comparada com fontes
tradicionais, necessita de certos cuidados, bem como de um monitoramento frequente de seu
funcionamento. Nesse contexto, o trabalho tem como proposta, projetar e desenvolver um
dispositivo, através de hardware livre, para o monitoramento e aquisição de dados de um painel
solar fotovoltaico. Pretende-se ainda monitorar a incidência de irradiância solar sobre esse
painel, a fim de analisar tanto a geração quanto a sua eficiência, utilizando conceitos de lógica
fuzzy. Para isso, será utilizada uma placa microcontroladora wemos atmega2560 wifi, que será
responsável por toda base de processamento, aquisição e transmissão de dados. Além disso,
serão utilizados sensores para leitura de tensões e correntes (INA 219), temperatura/umidade
(BME 280) e infravermelho (MLX 90614) para temperatura na superfície do painel. Os dados
serão armazenados tanto no servidor da plataforma Blynk quanto em um cartão de memória
(datalogger). Por fim, foram realizados testes com o intuito de validar a qualidade e
confiabilidade do dispositivo em diversos cenários, permitindo, assim, concluir que o
dispositivo apresentou uma boa estabilidade e confiabilidade na aquisição e transmissão dos
dados
Estudo e mapeamento de campos eletromagnéticos, na faixa de 60 hz, em uma subestação de alta tensão e em linhas de transmissão de 230 kv
Authors:   , Figueiredo Ana Luiza de
Published: February 2025

Para atender à crescente demanda por energia elétrica, os sistemas de transmissão brasileiro têm sido expandidos e, cada vez mais, é comum encontrar linhas de transmissão e subestações em alta tensão junto ao traçado urbano. Paralelamente, há uma preocupação da comunidade científica quanto ao nível de exposição a campos eletromagnéticos e possíveis efeitos na saúde humana, a qual estão sujeitos os indivíduos que transitam, residem ou trabalham em torno destes empreendimentos de energia elétrica. Diante disso, este trabalho tem como objetivo estudar a distribuição de campos eletromagnéticos no interior de uma subestação abaixadora de 230 kV/69 kV, que opera na faixa de frequência extremamente baixa (ELF), em 60 Hz, bem como nas linhas de transmissão em 230 kV que antecedem essa subestação, localizados na cidade de Mossoró-RN. Para tanto, medições, in loco da intensidade dos campos elétricos e campo magnéticos, mediante o uso de um medidor de características isotrópica indutiva e de espaço livre, na faixa central de frequência em 60 Hz, foram realizadas próximo aos equipamentos da subestação e na faixa de servidão das linhas de transmissão, em pontos previamente estabelecidos, respeitando a altura, direções e orientações da principais normas e literatura da área, em âmbito nacional e internacional. Os resultados obtidos durante as medições foram, posteriormente, aplicados no software Golden Surfer®, com a finalidade de expor a distribuição espacial, através de mapas de contorno, visando facilitar o entendimento e a visualização dos locais de maior intensidade de campos elétricos e magnéticos e o comportamento destes ao redor dos equipamentos e, de forma geral, no interior da subestação em questão e ao longo da linha de transmissão. Estes mapas foram desenvolvidos a partir de técnicas de interpolação e validações estatísticas, que permitiram a obtenção de resultados satisfatórios, mediante o comportamento dos dados. Finalmente, os valores medidos e interpolados foram comparados com os estabelecidos pelas normas regulamentadoras e diretrizes de renome, para averiguar se os níveis máximos de exposição nesta região estão dentro dos limites seguros de campo elétrico e magnético
Avaliação da distribuição superficial de potência de uma rede sem fio na banda de 5,8 ghz na região dos campos de petróleo do canto do amaro
Authors:   , Fialho Bruno Rodrigues
Published: February 2025

As redes de comunicações sem fio nas faixas de frequências livres de licença, em geral, têm intensificado as pesquisas da comunidade acadêmica sobre o comportamento de propagação dos sinais eletromagnéticos e os interesses da indústria em implementar estas bandas nas soluções e dispositivos de telecomunicações. A crescente demanda por novos serviços de radiopropagação em diversos tipos de cenários justifica a grande importância em difundir procedimentos para predição de cobertura. Nesse contexto, o presente trabalho realiza uma análise de desvanecimento dos sinais eletromagnéticos de uma rede sem fio na banda de 5,8 GHz em uma região de campos petrolíferos da Bacia Potiguar, do estado do Rio Grande do Norte, chamada Canto do Amaro. Sendo assim objetiva avaliar o comportamento da distribuição superficial de potência e identificar as zonas de sombra no ambiente de estudo. Foram realizadas medições em campo, que fornecem as variáveis necessárias para os métodos de interpolação espacial, em seguida, a partir de ferramentas estatísticas foram comparadas com os resultados dos cálculos do modelo Longley-Rice. De posse dos dados coletados procede-se com o mapeamento e testes por validação cruzada das matrizes de interpolação geradas, para verificação e avaliação da acurácia dos métodos determinísticos e geoestatísticos. Os resultados demonstraram que o método de estimação por suavização spline e o da krigagem com modelo de variograma esférico apresentaram os menores desvios do erro médio quadrático e que os coeficientes de determinação e da correlação de Pearson são maiores entre métodos com erros de estimação inferiores. Portanto, as ferramentas estatísticas e a análise exploratória dos dados possibilitam comparar os resultados simulados com medidos para avaliar a cobertura do sistema de rede sem fio analisado e fornecer insumos para tomada de decisão da gestão de projetos
Avaliação de métodos de estimação fasorial para uso na proteção de distância em linhas com compensação série
Authors:   , Chaves Thalita Faheina
Published: February 2025

O presente trabalho tem como objetivo avaliar métodos de estimação fasorial aplicados em linhas de transmissão com compensação série, utilizados em relés numéricos para proteção de distância em linhas de transmissão. Foram feitas comparações entre cinco algoritmos de estimação de fasores: método Fourier de Um Ciclo (FDFT), Cosseno Modificado, Mímico com Fourier de Um Ciclo, algoritmo de Guo e o algoritmo desenvolvido por CAMPOS (2016). Na primeira parte do trabalho, foram gerados sinais analíticos contendo componentes de frequência não fundamentais, utilizando o software MATrix LABoratory (MATLAB®). Os métodos foram avaliados usando índices de desempenho. Para um dos sinais, contendo componentes sub-harmônicas e DC de decaimento exponencial, o método de Campos apresentou melhor resultado, com menores valores em 78% dos casos para o índice que quantifica a oscilação da resposta no tempo e em 100% dos casos para o índice que quantifica o percentual de overshoot, enquanto o método FDFT foi o que teve o pior resultado e se mostrou mais susceptível às frequências sub-harmônicas. Já em relação ao índice que quantifica a velocidade de convergência na estimação fasorial, a combinação do filtro mímico com o método de Fourier de um ciclo apresentou menores valores de médias. Em seguida, foi criado um banco de dados, obtido através da modelagem de uma linha de transmissão com compensação série e simulação de faltas via software Alternative Transients Program (ATP). Foram variadas a localização dos bancos de capacitores série, o grau de compensação, localização, ângulo de incidência e tipo de falta, totalizando 288 casos. Os resultados obtidos no ATP foram usados como sinais de entrada para o MATLAB®, onde foi modelado o relé de distância tipo MHO autopolarizado e onde os algoritmos de estimação de fasores extraíram as componentes fundamentais de tensão e corrente. Na análise dos resultados, o desempenho dos algoritmos foi comparado através da trajetória da impedância aparente, do número de ciclos requeridos para estimação da distância de falta e do tripping time. Como conclusão dessa comparação, tem-se que todos os algoritmos são afetados pelas componentes indesejadas introduzidas pela presença de compensação série na linha, visto que há uma redução no valor da impedância aparente que pode provocar um mau funcionamento da proteção
ADOÇÃO DE TECNOLOGIAS BLOCKCHAIN NA RASTREABILIDADE EM CADEIAS DE SUPRIMENTOS BRASILEIRAS
Authors: Gomes Roberta Lima , Villaça Rodolfo da Silva , Alochio Gustavo Santa Clara , Gomes Leonardo Lima , Pereira Gesiane Silveira
Published: February 2025

A rastreabilidade é uma característica essencial para uma gestão eficaz das cadeias de suprimento, mas sua implementação pode enfrentar alguns desafios como garantia de integridade e acessibilidade dos registros. As blockchains, com sua estrutura descentralizada e imutável, prometem superar esses desafios, reforçando a segurança e a transparência dos dados. Apesar do crescente aumento dos estudos sobre a aplicação de blockchains em cadeias de suprimentos nos últimos anos, ainda há poucos trabalhos que explorem sua adoção no Brasil. Da mesma forma, o desenvolvimento de soluções voltadas para o mercado brasileiro é limitado, com poucos sistemas adaptados às suas necessidades específicas. Tendo isso em vista, o presente trabalho apresenta uma análise da adoção de blockchains no suporte à rastreabilidade em cadeias de suprimentos brasileiras, abordando tanto pesquisas acadêmicas quanto soluções desenvolvidas no país, fazendo, ao mesmo tempo, um paralelo com a adoção dessa tecnologia nas cadeias de suprimento estrangeiras. Com base nesse estudo, foram identificadas as potenciais dificuldades e barreiras à adoção de tecnologias blockchains nas cadeias de suprimento brasileiras.
A randomized controlled clinical study on the efficacy of Chinnadi Kashaya in Amlapitta (Chronic Gastritis)
Authors: Anojkar KS  , Shripathi Acharya G  , Malini M Moger
Published: February 2025

Nearly 25–30% of Indians suffer from Amlapitta or chronic gastritis. In this open-label, randomised clinical study, the effectiveness of Patoladi Kwatha and Chinnadi Kashayam in treating Amlapitta (chronic gastritis) was studied. Heartburn, nausea, and indigestion are some of the symptoms of Amlapitta, a disorder associated with the vitiation of Pitta dosha brought on by unhealthy eating and lifestyle choices. Two groups of forty Amlapitta patients were formed: For 30 days, Group B received Patoladi Kwatha, while Group A received Chinnadi Kashaya. When compared to Patoladi Kwatha, observations revealed that Chinnadi Kashaya had considerably reduced symptoms such as bloating, acid reflux, and indigestion. On the other hand, Patoladi Kwatha was far more effective in lowering appetite loss and fatigue. With each formulation providing distinctive benefits, these results offer credence to the therapeutic implementation of Ayurvedic medicines in the management of disorders like gastritis. The study demonstrates the therapeutic potential of both Ayurvedic formulations in treating digestive diseases, primarily Amlapitta, and indicates that Chinnadi Kashaya may provide superior overall comfort. Both formulations exhibited no adverse reactions. The long-term consequences and possible combinations of these medicines need to be investigated further.
Studies on genesis of Prameha from Amajirna w.s.r. to biochemical parameters
Authors: Hardik  , Apala Sengupta  , Chinky
Published: February 2025

Background: In classical text it had been highlighted that Amajirna is root cause to produce Prameha. Musta is drug which combat Amajirna and it also effective to cure Prameha. So, this gives reasons for need of the present study and also reason for selection of topic. Aim: To evaluate the pathogenesis of Prameha from Amajirna and the efficacy of Musta (Cyperous rotundus) in both Amajirna and Prameha. Material and Methods: This study is an open label, randomized, interventional, comparative, prospective, controlled clinical trial. In the present study the patient of Prameha were enrolled following the subjective criteria of Prameha. A total of 60 patients of Prameha were selected from the OPD and IPD of Shyamadas Vaidya Shastra Pith Hospital, Kolkata, West Bengal, and randomly allocated with a computerized randomization method into two groups. Those selected patients were subjected for a confirmatory biochemical analysis of FBS and PPBS. The prediabetic person was interrogated for Amajirna as a past history or present illness, by the subjective criteria of Amajirna. In group A (n= 30), Musta Churna was given for 90 days and in group B (n= 30), Pippali Churna was given for 90 days. Before treatment and after treatment data FBS, PPBS, HBA1C, SGOT, SGPT, serum amylase, serum lipase and alkaline phosphatase enzyme levels were recorded for statistical analysis. This record of assessment was taken at 0, 30, 60 and 90 days. Wilcoxon signed rank test; unpaired t-test were applied. Result: Both groups showed statistically significant (p<0.05) improvement in chief complaints of Prameha, Amajirna, FBS, PPBS, HBA1C, SGOT, SGPT, serum amylase, serum lipase and alkaline phosphatase. Conclusion: On percentage wise comparison, better relief was found in Group-A i.e., Musta Churna was found to be more effective in all the subjective and objective parameters than Group-B (Pippali Churna).
An Etiopathological Study and Therapeutic Intervention of Haridradi Yog (A Hypothetical Ayurvedic Formulation) on Covid - 19 Recovered Patients of Madhumeha w.s.r. to Type 2 Diabetes Mellitus
Authors: Sunita Kumari  , Man Mohan Sharma
Published: February 2025

Purpose: The Madhumeha (DM) are vulnerable to many bacterial & viral infections, They are more prone to be infected with the COVID-19. And after contracting with the COVID-19 they have experienced more aggravation in their symptoms like in pneumonitis etc. Many research studies have revealed that COVID-19 had the very bad effect on Madhumeha patients. It is typically observed in both the first wave and the second wave of COVID-19. The diabetic patient who contracted COVID-19 had the highest mortality rate. Among the 66 COVID-19 patients hospitalised, there were 44 non-diabetic cases and 22 cases of diabetes. Madhumeha is compared and correlated with Diabetes mellitus. Method: In this clinical study, 30 clinically diagnosed patients were administered Indigenous Formulation 5gm twice a day in empty stomach for 60 day with Luke warm water. Result: The result was statistically Very significant in Prabhut Mutrata, Durbulaya, FBS, PPBS. While statistically significant in Pipasa Adhikya, Kshudha Adhikya, Kar-Pad-Tala Daha & Supti, Urine Specific Gravity. Conclusion: From the observation & result it can be concluded that Indigenous Formulation can be used effectively in the management of Diabetes Mellitus Type -2 (COVID -19 recovered patients).
In Vitro Comparative Analysis of Paranti (Ixora coccinea Linn) Roots and Leaves against Bacteria causing Diarrhea
Authors: Aarthy Tikka  , Vijayalaxmi PB
Published: February 2025

Paranti (Ixora coccinea Linn) is used in several regions of India, especially in rural communities, by traditional medicine practitioners to treat diarrhoea. However, no scientific data is available to justify the traditional potentials of the plant species in gastrointestinal disorders. This study evaluates the In vitro antibacterial activities on diarrhoea causing organisms. In vitro antidiarrheal activity of the decoction of leaves and roots of Paranti (Ixora coccinea Linn), was evaluated against Salmonella para typhi A, and Shigella flexneri by Agar Dilution Method and Time Kill Assay. The Agar Dilution Method showed no antibacterial activity of Paranti (Ixora coccinea Linn) root and leaf decoction against Shigella flexneri and Salmonella para typhi A at volumes ranging from 0.5 ml to 5 ml. In the Time Kill Assay, both root and leaf decoction exhibited moderate antibacterial activity against both bacteria at all time points, except for a lack of activity at 8 hours for the leaves against Salmonella para typhi A. These results suggest high antibacterial effectiveness, particularly in a time-dependent context, against bacteria causing diarrhoea. Thus In vitro antibacterial activities which support its use in traditional herbal medicine practice.
Integration of Artificial Intelligence in Ayurveda Diagnostics
Authors: Soniya Seshan  , Man Mohan Sharma  , Ved Prakash
Published: February 2025

Ayurveda, an ancient medicinal practice, has long been revered for its comprehensive approach to healthcare. The incorporation of Artificial Intelligence into the field of Ayurvedic diagnosis signifies an intriguing blend of age-old knowledge and advanced technology, with the potential to transform the way we engage with individualized healthcare. The capacity of Artificial Intelligence to analyse extensive data, identify patterns, and provide predictions corresponds effectively with the personalized methodology of Ayurveda towards healthcare. This review aims to investigate the ways in which AI is improving the diagnostic process in Ayurveda, for improving the accuracy and efficacy of the same. A thorough search of literature was carried out to find relevant studies and articles regarding the fusion of AI and Ayurveda. Data from various sources such as PubMed, Google Scholar, and relevant academic journals were gathered and examined to provide a thorough understanding of the subject matter. Utilizing advanced technologies such as the Prakriti Analyser, Nadi Tarangini, Tridosho Scanner, and CureMetrix can significantly improve the diagnostic methods in Ayurveda through the integration of Artificial Intelligence. AI is poised to significantly enhance Ayurveda by increasing the accuracy of diagnosis thereby customizing treatment plans to better meet the specific needs of individuals. This will ultimately make Ayurvedic practices more accessible and efficient.
An Integrative approach in the management of Uncontrolled type 2 Diabetes Mellitus w.s.r. to Sthula Madhumeha: A Case Report
Authors: Mohini Jamale  , J.D. Gulhane  , Mayur Gaikwad
Published: February 2025

Introduction: Diabetes is a disease of worldwide importance and a major public healthcare concern owing to its associated morbidity. Clinically Type 2 DM resembles Madhumeha with prevalence in India was 9.6% in 2021.This case report describes an integrated approach for the treatment of uncontrolled diabetes mellitus. Main clinical Findings: A 58-year-old male patient complained of polyurea, polyphagia, polydipsia, tingling, and severe burning in all 4 limbs, fatigue, and constipation. Investigations shows FBSL level of 247mg/dl, PPBSL 415mg/dl, and HbA1C 8.9%, BMI 28.6kg /m2. Diagnosis: Sthula-Madhumeha (Type 2 Diabetes Mellitus). Interventions: Treatment includes, Panchatiktapanchaprasutika Basti for consecutive 15 days (Kalbasti Krama), local therapy, oral medications and lifestyle modifications. Outcome: Patient showed marked reduction in FBSL reduced to 82mg/dl PPBSL to 184mg/dl, and HbA1c to 6.8% after 3 months. Patient exhibited significant results in clinical signs and symptoms. Conclusions: It can be concluded that Ayurvedic intervention can be a complimentary treatment in uncontrolled DM.
Stones Unearthed: A Journey to Wellness with Ayurvedic Urolithiasis (Mutraashmasri) Management
Authors: Vishal Chaudhary  , Soumya A. Goudar
Published: February 2025

Urolithiasis is a prevalent clinical condition impacting over 10% of the population in industrialized nations, causing symptoms like intense renal pain, lower abdominal discomfort, painful urination, and cloudy or foul-smelling urine. Despite various medical treatments, managing renal calculi proves financially burdensome, with recurrent stone formation posing a persistent challenge. Ayurvedic diagnostics, including assessing individual constitution (Prakriti), urine (Mutra), and pulse (Nadi), lay the foundation for understanding Mutraashmari causes. Renal calculi are closely linked to Agni (digestive fire) imbalances and the accumulation of Ama (toxins). Ayurvedic interventions aim to enhance Agni, eliminate Ama, and restore Doshic equilibrium, encompassing dietary changes, lifestyle adjustments, and herbal formulations. This case report presents a 45-year-old male with renal calculi (7.7mm at ureteropelvic junction and 7.4mm at ureter-bladder junction) experiencing severe pain, backache, hematuria, and recurrent urinary tract infections. After ineffective allopathic treatment, the patient sought Ayurvedic care, achieving complete urolithiasis dissolution within one month.