bluuebunny/crossref_metadata_2025 huggingface dataset:
Reliable and Adaptive Computation offload strategy with load and cost coordination for Edge computing
Authors: Tang Weicheng , Gao Donghui , Yu Siyu , Lu Jianbo , Wei zhiyong , Li Zhanrong , Chen Ningjiang
Published: August 2023

There are several important factors to consider in edge computing systems, including latency, reliability, power consumption and queue load. Task replication requires additional energy costs in the mobile edge offloading scenario based on master-slave replication for fault tolerance. Excessive task offloading may lead to sharp increase in the total energy consumption of the system including replication costs. On the contrary, new tasks cannot enter the waiting queue and are lost, resulting in unreliable problems. This paper proposes propose an adaptive task offloading strategy for balancing the edge node queue load and offloading cost (Lyapunov and Differential Evolution based Offloading schedule strategy, LDEO). The LDEO strategy customizes the Lyapunov drift-plus-penalty function by incorporating replication redundancy offloading costs to establish a balance model between the queue load and offloading cost. By integrating a low-complexity differential evolution method, the LDEO strategy computes the optimal offloading decisions with dynamic adjustment characteristics, aiming to find the optimal balance point that minimizes the offloading cost while maintaining reliability performance. Experimental results show that compared with the existing strategies, the LDEO strategy effectively reduces the redundancy and the growth rate of task completion time, with similar task execution completion rate. By ensuring that the queue length remains stable within a reasonable range, controlling both task waiting time and loss rate, and reducing the additional energy consumption associated with replication redundancy, the LDEO strategy effectively achieves optimal balancing under multiple conditions.
Examining the Impact of Health Insurance and Socioeconomic Factors on Children's Hospitalization in Indonesia: An Empirical Analysis
Authors: Rahmawati Yessi
Published: August 2023

The purpose of the present research is to study the impact of healthcare and insurance on the health of Indonesian youth. This study uses logistic regression, which is a statistical analysis method that can examine the relationships between variables and predict outcomes. The study was conducted through a national household survey (SUSENAS 2020), which is a data collection method that gathers information from individuals within a household. The study found that children without health insurance were significantly more likely to be hospitalized than those with insurance. Private insurance and employer-sponsored insurance were not found to significantly reduce hospitalization frequency. Other significant factors affecting children's health included age, sex, parent's education, smoking behavior, and house location. The results showed that older children were generally healthier, children of well-educated and non-smoking parents were less likely to be hospitalized, and those living in urban areas had a higher likelihood of hospitalization than those in rural areas. The study emphasizes the importance of improving access to health insurance and promoting parental education and non-smoking behavior to enhance children's overall health. Neglecting these issues could pose significant challenges for the future, given that the current young generation will eventually become the nation's leaders.
Climate Penalty on Air Pollution Abated by Anthropogenic Emission Reductions in the United States
Authors: Liu Pengfei , Yin Lifei , Bai Bin , Zhang Bingqing , Zhu Qiao , Di Qian , Réquia Weeberb , Schwartz Joel , Shi Liuhua
Published: August 2023

Climate change poses direct and indirect threats to public health, including exacerbating air pollution. However, how a warmer temperature deteriorates air quality, known as the “climate penalty” effect, remains highly uncertain in the United States, particularly under rapid reduction in anthropogenic emissions. Here we examined the sensitivity of surface-level fine particulate matter (PM2.5) and ozone (O3) to summer temperature anomalies in the contiguous US and their decadal changes using high-resolution datasets generated by machine learning models. Our findings demonstrate that, in the eastern US, efficient emission control strategies have significantly reduced the climate penalty effects on PM2.5 and O3, lowering the associated population exposure. In contrast, summer and annual PM2.5 in the western US became more sensitive to temperature, highlighting the urgent need for the management and mitigation of worsening wildfires. Our results have important implications for air quality management and risk assessments of future climate change.
Enhanced Stock Market Forecasting: A Hybrid Multivariate Approach Incorporating CEEMDAN and Deep Recursive Neural Networks
Authors: Ghamgosar Ali , Alizadeh Sasan H
Published: August 2023

Forecasting the future of the stock market is a crucial challenge for companies, financial analysts, policymakers, and other stakeholders. The primary objective is to develop a stable model that can effectively predict stock prices in the face of a volatile financial environment. However, financial time-series forecasting is inherently difficult due to its nonstationary, non-linear, and noisy nature. While various statistical and deep learning models are commonly used for stock price prediction, there is a noticeable lack of research on the effectiveness of different feature pre-processing methods and their combinations for diverse time series. To address this challenge, we propose a hybrid method that incorporates multiple perspectives to achieve optimal results. Our study focuses on financial time-series forecasting in the context of crude oil price fluctuations. The method involves several stages, including feature pre-processing, signal processing, and deep recursive neural networks. Anomalies, representing financial noises, are detected using an unsupervised Autoencoder. Additionally, a data enrichment phase refines the time series using CEEMDAN decomposition and Fourier Transform. Finally, a bi-directional LSTM model is utilized to extract latent patterns and forecast future trends in the time series. This approach aids in the progression of stock market forecasting, imparting valuable perspectives for decision-making among businesses, financial analysts, policymakers, and other individuals with a vested interest.
Evaluating the BERTScore of synthetic text and its sentiment analysis
Authors: Gupta Pranjali
Published: August 2023

Text generation, which combines artificial intelligence as well as computational linguistics to write new text, is a subfield of Natural Language Processing (NLP). Significant advancements in text generation have been accomplished recently, producing human-like text. The most recent text generation models like LSTM, GPT, and BART are changing the field. It has recently become quite popular across a variety of industries, including news, reviews, social networks, and poetry composition, to mention a few. In our proposed work, the process of generating automatic text includes training a model that takes input data and generates fresh content related to the subject of the input data. We used BERTSCORE, an assessment metric for language generation evaluation metric, it calculates the similarity between two phrases, the input and the generated text, as the sum of the cosine similarities between their token embeddings. In comparison to previous metrics, BERTSCORE has a higher correlation with human assessments and offers superior model selection performance. The generated text is being preprocessed and we use the cleaned data for sentiment classification. Natural language processing's significant role in sentiment analysis has drawn a lot of attention recently. Models like BERT have demonstrated tremendous effectiveness in capturing the contextual details of text since the rise of deep learning techniques. In this paper, we explore the application of BERT for sentiment analysis on text generated by a language model. We test different methods for optimizing BERT and assess the performance of our models using news datasets. Our findings show that BERT can accurately categorize sentiment in generated text, the experimental results for the sentiment classification task for the GPT-2 generated text are 94%, and for BART is 96%.
Finite Element Analysis of Ground Floor level of Old Unreinforced Masonry Senate Hall building using macro modelling approach
Authors: Kumar Ambareesh , Pallav Kumar
Published: August 2023

Finite element (FE) macro 3D modelling of the unreinforced masonry (URM) wall of ground floor (GF) is evaluated for static and dynamic behavior and compared with an actual in-situ condition of the building. The Senate Hall (SH) building is built in 1915 (108 years old), designed from Indo-Saracenic style of architecture. In-situ survey and geometrical drawing of the building is used for entire modelling the unreinforced masonry load bearing (thickness 1.07m) and the partition walls (0.91m to 0.31m) on the ground floor level. A site visit of the building has been answered several unknown features such as geometrical plan, construction techniques, mechanical properties, architecture style, damaging maps (cracks, failures, damages, collapse, etc.), strengthening, renovation, retrofitting and actual conditions of the SH building. The major cracks and material deformities are observed in load bearing walls and arches. Most of the construction material deteriorated due to water seepage, moisture, and atmospheric behavior, etc. The finite element technique has been used for built 3D model of entire GF level of the SH building using macro modelling approach. The mechanical properties have been evaluated from non-destructive tests performed on the masonry and stone materials of the building after used approximate values. Static analysis results show the maximum stress and deformation response of the GF level for its self-weight and live load. Dynamic modal analysis results are also shown. Finally, simulation results of the GF level have been compared with the actual in-situ survey condition of the SH building.
Alcohol intake and endogenous sex hormones in women: meta-analysis of cohort studies and Mendelian randomization
Authors: Tin Sandar Tin , Smith-Byrne Karl , Ferrari Pietro , Rinaldi Sabina , McCullough Marjorie L , Teras Lauren R , Manjer Jonas , Giles Graham , Marchand Loïc Le , Haiman Christopher A , Wilkens Lynne R , Chen Yu , Hankinson Sue , Tworoger Shelley , Eliassen A Heather , Willett Walter C , Ziegler Regina G , Fuhrman Barbara J , Sieri Sabina , Agnoli Claudia , Cauley Jane , Menon Usha , Fourkala Evangelia Ourania , Rohan Thomas E , Kaaks Rudolf , Reeves Gillian K , Key Timothy J
Published: August 2023

Background
The mechanisms underlying alcohol-induced breast carcinogenesis are not fully understood but may involve hormonal changes.
Methods
We investigated cross-sectional associations between self-reported alcohol intake and serum or plasma concentrations of oestradiol, oestrone, progesterone (in pre-menopausal women only), testosterone, androstenedione, DHEAS (dehydroepiandrosterone sulphate) and SHBG (sex hormone binding globulin) in 45 431 pre-menopausal and 173 476 post-menopausal women. We performed multivariable linear regression separately for UK Biobank, EPIC (European Prospective Investigation into Cancer and Nutrition) and EHBCCG (Endogenous Hormones and Breast Cancer Collaborative Group), and meta-analysed the results. For testosterone and SHBG, we also conducted two-sample Mendelian Randomization (MR) and colocalisation using the ADH1B (Alcohol Dehydrogenase 1B) variant (rs1229984).
Results
Alcohol intake was positively, though weakly, associated with all hormones (except progesterone in pre-menopausal women), with increments in concentrations per 10 g/day increment in alcohol intake ranging from 1.7% for luteal oestradiol to 6.6% for post-menopausal DHEAS. There was an inverse association of alcohol with SHBG in post-menopausal women but a small positive association in pre-menopausal women. MR identified positive associations of alcohol intake with total testosterone (difference per 10 g/day increment: 4.1%; 95% CI: 0.6%, 7.6%) and free testosterone (7.8%; 4.1%, 11.5%), and an inverse association with SHBG (-8.1%; -11.3%, -4.9%). Colocalisation suggested a shared causal locus at ADH1B between alcohol intake and higher free testosterone and lower SHBG (PP4: 0.81 and 0.97 respectively).
Conclusions
Alcohol intake was associated with small increases in sex hormone concentrations, including bioavailable fractions, which may contribute to its effect on breast cancer risk.
An Investigation of the Psychosocial Outcomes of Dry Eye Disease Treatment in Children with Computer Vision Syndrome
Authors: Temeltürk Rahime Duygu , Koçer Ali Mert , Özal Ece
Published: August 2023

Purpose
To examine the effects of topical eye drops treatment on the psychosocial status of pediatric patients with computer vision syndrome (CVS)-related dry eye disease (DED).
Methods
In this study, a total of 38 children (6 boys, 32 girls) with CVS-related dry eye symptoms were evaluated with the Schirmer test, tear break-up time (TBUT), and ocular surface disease index (OSDI) at the time of diagnosis and after artificial tear drops treatment. Additionally, the quality of life (QoL) levels and the anxiety and depression symptoms were assessed using self- report scales for children.
Results
The mean age and mean total screen exposure of patients were 13.95 ± 2.42 years and 5.65 ± 2.31 hours, respectively. After treatment, TBUT and Schirmer test values of the patients increased significantly, while OSDI values decreased (p < 0.001 for all). The total anxiety and the depression scores of the patients decreased (p = 0.001, and p = 0.003, respectively); whilst the physical, emotional, social and school functionality scores increased (p < 0.05 for all) with treatment. There was a significant correlation between the improvements in Schirmer test values and anxiety scores (r = -0.32, p = 0.045) and QoL total scores (r = 0.38, p = 0.016).
Conclusions
Enhanced QoL and decreased anxiety and depression scores, correlated with the amelioration of dry eye symptoms indicate that the CVS related DED has psychosocial effects, which may decrease after appropriate treatment, in pediatric patients. Future research endeavors that integrate comprehensive evaluations of dry eye and psychiatric symptoms can yield more comprehensive and precise insights into the interplay between psychiatric disorders and DED in children with CVS, as well as the outcomes of different treatment approaches.
A change in QT interval and ST-segment after radiofrequency catheter ablation in pediatric patients with Wolff–Parkinson–White syndrome
Authors: Fujita Shuhei , Kabata Eriko , Mizutomi Shinichiro , Usuda Kazuo , Chikata Akio , Futatani Takeshi , Hatasaki Kiyoshi
Published: August 2023

Background Few studies have examined QT, JT interval, and ST-segment changes due to radiofrequency catheter ablation (RFA) in manifest Wolff–Parkinson–White (WPW) syndrome in pediatric patients.Methods The study involved 27 patients (male-to-female, 13:14; age, 12 (5–16) years) who were diagnosed with WPW syndrome and underwent RFA in our hospital between 2009 and 2022. Electrocardiographic (ECG) changes were compared between the group with ventricular preexcitation due to an accessory pathway (manifest group, n = 16) and those without it (concealed group, n = 11).Results The QT interval before RFA was significantly longer in the manifest group than in the concealed group (402 [362–482] vs. 344 [323–427]; p = 0.001). The QT interval was significantly shortened in the manifest group before and after RFA (402 [362–482] vs. 360 [298–422] msec; p = 0.01). At 1 month, the QT interval difference between the manifest and concealed groups disappeared (366 [305–437] vs. 335 [301–436] msec; p = 0.001). ST-segment changes were found after RFA in 63% (10/16) of the patients in the manifest group but not in the concealed group. ECG changes presenting the Brugada-pattern were found in two patients. One month later, ECG abnormalities persisted in only one patient.Conclusions In cases of prolonged QT interval or ST-segment abnormalities lasting > 1 month after RFA, the coexistence of manifest WPW syndrome with long QT syndrome or Brugada syndrome may be considered.
Ab initio calculations of neutrinoless ββ decay refine neutrino mass limits
Authors: Holt Jason , Belley Antoine , Miyagi Takayuki , Stroberg Steven
Published: August 2023

Neutrinos are perhaps the most elusive known particles in the universe. We know they have some nonzero mass, but unlike all other particles, the absolute scale remains unknown. In addition, their fundamental nature is uncertain; they can either be their own antiparticles or exist as distinct neutrinos and antineutrinos. The observation of the hypothetical process of neutrinoless double-beta (0νββ) decay would at once resolve both questions, while providing a strong lead in understanding the abundance of matter over antimatter in our universe1. In the scenario of light-neutrino exchange, the decay rate is governed by, and thereby linked to the effective neutrino mass, via the theoretical nuclear matrix element (NME). In order to extract the neutrino mass, if a discovery is made, or to assess the discovery potential of next-generation searches, it is essential to obtain accurate NMEs for all isotopes of experimental interest. However, two of the most important cases, 130Te and 136Xe, lie in the heavy region and have only been accessible to phenomenological nuclear models. In this work we utilize powerful advances in ab initio nuclear theory to compute NMEs from the underlying nuclear and weak forces driving this decay, including the recently discovered short-range component2. We find that ab initio NMEs are generally smaller than those from nuclear models, challenging expected sensitivities of future ton-scale searches as well as claims to probe the inverted hierarchy of neutrino masses3. With this step, ab initio calculations with theoretical uncertainties are now feasible for all isotopes relevant for next-generation 0νββ decay experiments.
An easy and time-effective meditative approach for relaxation and rejuvenation of the body and mind
Authors: Jayswal Anurag , Devi Kabita , Deka Ajanta , Satapathy Siddhartha Sankar , Singh Deepeshwar , Deka Bhabesh , Deka Ramesh Chandra , Ray Suvendra Kumar
Published: August 2023

In this study, we are implementing an easy technique of coordination between breathing and thumb movement on finger divisions, which is performed with closed eyes for a short duration of five minutes. This technique has been practiced by a small group of 28 participants in a natural classroom setting and its immediate impact on calming down and inducing sleep was observed distinctly (p < 0.05). The electroencephalogram (EEG) results distinctly demonstrated a change in brain waves by the technique practiced by a single participant. The low-frequency delta wave increased, and all other higher-frequency waves decreased during meditation. The maximum effect was observed in the prefrontal lobe, which is the center for decision-making, creativity, and reasoning. This indicated that the proposed technique is effective to rejuvenate a person within a short duration. Owing to its easy as well as time-effective approach, the method can be followed by people who need to relax within time constraints. The method might be used in the future for the prognosis of people suffering from restlessness and anxiety.
Photosynthetic attributes on drought tolerance of rice landraces (Oryza sativa L.)
Authors: JeevaPriya S. , Vincent S. , Joel A. John , Srith N. , Senthil A.
Published: August 2023

Drought stress is mainly a serious limiting factor for rice production, which creates huge economic losses by becoming more serious issue with respect to global climate change. In the view of the current situations and forecasted global food demand, it is necessary to enhance the crop productivity on the drought prone rain fed lands with utmost priority.Rice is a main staple cereal crop in the world.Climate change mainly alters the plant phyllosphere and its resource allocations. The main aim of this experiment was to evaluate the “Photosynthetic attributes on drought tolerance of rice landraces” (Oryzasativa L.). A laboratory screening, hydroponic studies and pot culture experiments were conducted in the Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore, during 2020–2021 to investigate the Photosynthetic attributes. Rice land races, namely Anna(R) 4, 337- IC116006, 224 - IC463809 were studied. The present findings showed that drought stress reduced the photosynthetic parameters and enhanced the chlorophyll index and soil temperature in all the land races. Among the land races, Anna(R) 4 performed better under drought stress conditions when compared to other.
Bridging the Gap: Advancing the Transparency and Trustworthiness of Network Intrusion Detection with Explainable AI
Authors: Islam Md. Tohidul , Syfullah Md. Khalid , Rashed Md. Golam , Das Dipankar
Published: August 2023

With the explosive rise of internet usage and the development of web applications across various platforms, ensuring network and system security has become a critical concern. Networks and web services are particularly susceptible to targeted attacks, as hackers and intruders persistently attempt to gain unauthorized access. The integration of artificial intelligence (AI) has emerged as a crucial tool for detecting intrusions and constructing effective Intrusion Detection Systems (IDSs) to counter cyber-attacks and malicious activities. IDSs developed using machine learning (ML) and deep learning (DL) techniques have proven to be highly effective in detecting network attacks, offering machine-centric solutions. Nevertheless, mainstream adoption, confidence and trust in these systems have been greatly impeded by the fact that ML/DL implementations tend to be “black boxes,” and thus lacking human interpretability, transparency, explainability, and logical reasoning in their prediction outputs. This limitation has prompted questions about the responsibility and comprehension of AI-driven intrusion detection systems. In this study, we propose four novel architectures that incorporate Explainable Artificial Intelligence (XAI) techniques to overcome the challenges of limited interpretability in ML/DL based IDSs. We focus on the development of ExplainDTC, SecureForest-RFE, RationaleNet, and CNNShield architectures in network security solutions, and inquiry into their potential to convert the untrustworthy architectures into trustworthy. The models are applied to scan network traffic and identify, and report intrusions based on the traits extracted from the UNSW-NB15 dataset. To explain how a decision is made by the models and to add expansibility at every stage of machine learning pipeline, we integrate multiple XAI methods such as LIME, SHAP, ElI5, and ProtoDash on top of our architectures. The generated explanations provide quantifiable insights into the influential factors and their respective impact on network intrusion predictions.
Phosphorus forms and adsorption properties of paddy field soils and potential risk to Indawgyi Lake, Myanmar
Authors: Hashar Mohammad Rafiul , Nasrin Shamima
Published: August 2023

The largest freshwater and oligotrophic lake in northern Myanmar, called Indawgyi Lake, is at potential risk of eutrophication due to the phosphorus (P) export from nearby paddy fields. In this study, the P status of the soil of paddy fields and its potential mobility to the lake water to cause eutrophication have been evaluated. The Indawgyi Lake is the third largest lake in Asia and became a UNESCO biosphere reserve in June 2017 for its outstanding contribution to providing habitat for threatened birds and aquatic species. Although many other sources, e.g. high tourist interest, loss of natural forest areas, the gathering of pilgrims and lack of proper wastewater treatment plants are contributing to the P nutrients input to the lake, the increase of paddy fields around the lake area and use of synthetic fertilizer which exports to the lake is considered to the primary source of P export to the lake. In this study, the soil P was examined with different P extracted methods and P export to the lake was calculated. The extracted P differed in order and magnitude with different methods, and the order was increased in accordance with CaCl2 < DL-P < Olsen-P < BD-P < HCL-P < TP and for iron, it was HCl-Fe < TFe. All extracted Olsen-P was below 10 mg kg− 1, which is below the critical level (30–172 mg kg− 1) for P loss. On the other hand, the soil has a high P sorption capacity, and the maximum sorption capacity among the soil samples that were done with the Langmuir equation is 0.790 mg g− 1. Our findings suggested that paddy fields are not contributing to the eutrophication of the lake at present. However, comparing the historical map around the lake area from 1944 to 2017, it has been found that the area of paddy fields around the lake has increased almost three-fold from 1944 to 2017. As a result of increasing paddy fields and synthetic fertilizer use, we can say that P export from paddy fields can cause severe eutrophication to the lake in the near future.
Effects of Vermiconversion on Coffee husk, Paper waste and Vegetable waste Using Red Worm (Eisenia fetida) in Begi Woreda, Ethiopia
Authors: Geleta Zelalem Telila , Daka Yohannes Shifera
Published: August 2023

Vermicomposting is the bioconversion of organic waste into a bio-fertilizer due to earthworms’ activity and it is operated in mesophilic conditions. PH and moisture content levels shall be optimized. The vermicomposting process takes place in vermin-reactors. In the vermicomposting method microorganisms begin the process, but it is the red worm that plays the largest role in converting organic matter. In this study vermicomposting process was conducted to evaluate performance of epigamic earth worm species of Esinia foetida in 60 days to change on the three biodegradable wastes (Coffee husk, Paper waste and vegetable wastes) in Begi town. The two wastes (coffee husk and paper wastes) were mixed with cow dung 3:1 ratio and vegetable wastes without cow slurry treated with Esinia foetida (tiger worm. Thirty (30) numbers of matured earth worms were inoculated on the three substrates and monitored for 60 days. Each waste was observed three times at intervals of 0 days, 30 days and 60 days. Characterization results showed that there is a change of pH, EC, OM, OC, TN, C:N, AP, EK, Ash from initial days to final results of observation which results at 0 and 60 day (pH 7.51–7.03, EC 1.91mS/cm -1.24 mS/cm, OM 47.06–29.21%, OC 27.3-16.93%,TN 1.38–2.199%, C:N21.39-8.63,AP11.17-20.85ppm and EK 2.26-4.43mg/k ) were found. The finding from the study showed that, the vermicomposting produced have matured and quality when compared with WHO and ISIRI standards. The obtained vermicompost had an excellent nutrient status, confirmed by the chemical analyses, and contained essential nutrients. Vermicomposting could good option to recover biodegradable wastes from the town and simultaneously produces organic fertilizer.
Adolescentes em conflito com a lei privados de liberdade em uma unidade no Distrito Federal: uma proposta de intervenção do cuidado em saúde mental
Authors: SOUZA Daniela Raguer Valadão de , RAMOS Willamis Tenório , FONTENELES Amanda de Oliveira , SOUZA Stéphanie Louise Fonseca , GERALDINI Janaina Rodrigues , FREITAS Carla Kalline Alves Cartaxo , FERNANDES Waleska Batista
Published: August 2023

A adolescência caracteriza-se como um processo histórico-cultural, no qual o desenvolvimento humano é influenciado por vários fatores que atravessam as questões biológicas, psíquicas, culturais e sociais. Esta produção científica teve, como objetivo principal, pensar o espaço socioeducativo enquanto zona de reconhecimento do eu e de descoberta da autonomia, por meio de encontros terapêuticos. Trata-se de um relato de experiência sobre o processo de planejamento, construção e execução de intervenções sobre cuidado em saúde mental com adolescentes em Conflito com a lei, desenvolvido na Unidade de Internação Recanto das Emas (UNIRE). Ao total foram planejados 11 encontros, tendo a participação de 16 adolescentes do gênero masculino que estavam admitidos na unidade. Observou-se que os encontros realizados podem ser considerados uma proposta de cuidado em saúde mental para adolescentes que estão em conflito com a lei e privados de liberdade no Distrito Federal.
Projeto arquitetônico participativo na Escola Nacional de Energia Popular – ENEP, em Viçosa-MG
Authors: SOARES Josarlete Magalhães , ZICA Otávio Danilo Zica , ALTO Vanessa Coelho Monte
Published: August 2023

A Escola Nacional de Energia Popular (ENEP) é uma instituição coordenada por um coletivo de movimentos sociais do campo e da cidade que tem como método pedagógico a educação popular, atuando como importante agente na inclusão social. Diante da necessidade de reformar a estrutura física e de construir novos ambientes, a coordenação da Escola resolveu iniciar um processo de planejamento de readequação dos espaços. A partir dessa demanda foi formalizada uma parceria com o Departamento de Arquitetura e Urbanismo da Universidade Federal de Viçosa (UFV) e iniciado o projeto de extensão. Por meio de reuniões mensais com a coordenação e os voluntários da Escola, foram realizadas oficinas fundamentadas em metodologias participativas de projeto arquitetônico, de modo que os usuários assumissem maior envolvimento nas decisões de projeto, reforçando laços de pertencimento e apropriação do espaço.
MATHEMATICAL MODELING OF THE BIODIESEL OXIDATION PROCESS IN THE PRESENCE OF NATURAL ETHANOLIC EXTRACTS OF JABUTICABA PEELS, GABIROBA LEAVES, AND HIBISCUS FLOWERS
Authors: Branco Isadora , Campos Julia , Silva Nathan , Clemente Marco Aurelio , Mantovani Ana Carolina , Chendynski Letícia , Borsato Dionisio
Published: August 2023

Natural additives with antioxidant properties can be used as biodegradable and sustainable alternatives to synthetic products, because they can inhibit the biodiesel oxidation reaction, increasing oxidative stability and extending its storage period. This research evaluated the efficiency of jabuticaba peels, gabiroba leaves, and hibiscus flowers in ethanolic extracts, analyzing through the simplex-centroid design, the induction periods (IP) and rate constants (k) of the biodiesel oxidation reaction at 110 °C. Antioxidant activity was observed in all extracts, either decreasing k or increasing the IP. The mathematical models obtained showed coefficients of determination greater than 0.9400, a non-significant lack of fit at the 5% level, and low dispersion between predicted and experimental data, indicating that the 1st order reaction fit was appropriate and can be used for predictive purposes. In this work, the optimization was performed with maximization of IP and minimization of k showing that the mixture containing 25% of jabuticaba peels extract and 75% of gabiroba leaves extract was the most suitable, because proportionally increased the IP and decreased k of the biodiesel oxidation reaction. It is possible to suggest the use of jabuticaba peels extract or gabiroba leaves extract as well as various combinations between them as antioxidant additives.
Estado de bem-estar social e educação
Authors: Correia Maria Aparecida Antero
Published: August 2023

Este artigo analisa a relação entre o Estado de Bem-Estar Social e as políticas educacionais na Europa. Uma das formas para se medir o desenvolvimento do Welfare State tem sido a análise dos gastos sociais. Com base nesse indicador, é possível verificar que não existiu uma destruição do Estado social, mas uma alteração em sua execução e na relação entre Estado, sociedade e mercado. São mudanças decorrentes da retomada das teses de livre mercado e da nova conformação da relação capital e trabalho. Nesse contexto, foi introduzida a Nova Gestão Pública e a educação passou a ser considerada mais uma oportunidade de negócios para o capital. Em que pese o Estado de Bem-Estar Social ter mantido suas bases, com as reformas educacionais o mercado se apropriou de recursos públicos, modificando a provisão dos serviços de educação e sua própria conformação como direito social.
DESENVOLVIMENTO SOLIDÁRIO
Authors: Marinho Alves da Silva Roberto , Silva Ronalda Barreto
Published: August 2023

Este artigo tem por objetivo analisar os fundamentos da economia solidária como estratégia de desenvolvimento solidário a partir da construção teórica e militante de Paul Singer. Para tanto, foram realizados estudos em obras do autor que tratam dessa questão com diferentes dimensões de análise e em distintos contextos históricos, desde a década de 1960 até suas produções mais recentes no século XXI, confrontando o modelo de desenvolvimento capitalista com o solidário e destacando algumas das virtudes e estratégias da economia solidária em iniciativas comunitárias de desenvolvimento. Foi possível apreender que as questões que desafiaram Singer desde as suas análises em relação aos desafios para superação do subdesenvolvimento, sobre as alternativas ao desenvolvimento capitalista e se é possível levar desenvolvimento a comunidades pobres, estão intimamente interligadas nas obras aqui analisadas. Em todas essas dimensões e perspectivas de análise, é preciso ter um ponto de vista ou uma orientação utópica de um sistema social capaz de superar as contradições do capitalismo. Ao mesmo tempo, exige uma postura militante de construção dessa alternativa a partir da realidade atual de hegemonia do capital, o que requer resgatar e construir novas estratégias de organização socioeconômica orientadas pelos valores e princípios da solidariedade, da cooperação e da autogestão.
IMPORTANTE NÃO É SABER AONDE CHEGAR, IMPORTANTE É A TRAJETÓRIA
Authors: Singer Helena
Published: August 2023

O título deste artigo remete a frase de Paul Singer que sintetiza uma trajetória pautada pelo engajamento da economia em prol do desenvolvimento pleno da sociedade. E, para desenvolvê-la, um dos elementos que considerava essencial era a economia solidária, conceito que desenvolve nos textos que compõem o livro Economia solidária: introdução, história e experiência brasileira. Paul Singer encontrou-se com a economia solidária depois dos 60 anos de idade e foi um encontro definitivo, que o faria resgatar e reinventar diversos aspectos de sua produção intelectual, bem como da trajetória como gestor público e de sua militância política. Os nove textos que são apresentados neste artigo foram escritos entre 2001 e 2013 e, no conjunto, oferecem uma visão ampla sobre os princípios, conceitos e histórico da economia solidária no mundo, tendo a experiência brasileira como referência para políticas públicas comprometidas com a superação da pobreza e da heteronomia no trabalho, o fortalecimento da democracia e a conquista de uma vida melhor para todos. Nestes textos, Singer escreve sobre a autogestão como desenvolvimento humano e a economia solidária como fruto da sociedade civil organizada, um modo de produção que visa enfrentar o capitalismo. Confirma, assim, a importância das experiências pelo aprendizado que proporciona aos trabalhadores ao assumirem coletivamente a gestão de empreendimentos produtivos e operá-los segundo princípios democráticos e igualitários. Segundo Paul Singer, o florescer de uma profusão de economias solidárias ou sociais ou humanas é a garantia de sua viabilidade, pois a vocação da humanidade não é a uniformização.
Polymeric Gel Scaffolds and Biomimetic Environments for Wound Healing
Authors: Alka  , Verma Abhishek , Mishra Nidhi , Singh Neelu , Singh Priya , Nisha Raquibun , Pal Ravi Raj , Saraf Shubhini A.
Published: August 2023

Infected wounds that do not heal are a worldwide problem that is worsening, with more people dying
and more money being spent on care. For any disease to be managed effectively, its root cause must be addressed.
Effective wound care becomes a bigger problem when various traditional wound healing methods and
products may not only fail to promote good healing. Still, it may also hinder the healing process, causing
wounds to stay open longer. Progress in tissue regeneration has led to developing three-dimensional scaffolds
(3D) or constructs that can be leveraged to facilitate cell growth and regeneration while preventing infection
and accelerating wound healing. Tissue regeneration uses natural and fabricated biomaterials that encourage the
growth of tissues or organs. Even though the clinical need is urgent, the demand for polymer-based therapeutic
techniques for skin tissue abnormalities has grown quickly. Hydrogel scaffolds have become one of the most
imperative 3D cross-linked scaffolds for tissue regeneration because they can hold water perfectly and are porous,
biocompatible, biodegradable, and biomimetic. For damaged organs or tissues to heal well, the porosity
topography of the natural extracellular matrix (ECM) should be imitated. This review details the scaffolds that
heal wounds and helps skin tissue to develop. After a brief overview of the bioactive and drug-loaded polymeric
hydrogels, the discussion moves on to how the scaffolds are made and what they are made of. It highlights
the present uses of in vitro and in-vivo employed biomimetic scaffolds. The prospects of how well bioactiveloaded
hydrogels heal wounds and how nanotechnology assists in healing and regeneration have been discussed.
Altmetric Analysis of Dermatology Manuscript Dissemination During the COVID-19 Era: Cross-Sectional Study
Authors: Zhu Harrison , Narayana Vishnu , Zhou Kelvin , Patel Anisha B
Published: August 2023

Background

Alternative bibliometrics or altmetrics, is a measure of an academic article’s impact on social media outlets, which is quantified by the Altmetric Attention score (AAS). Given a lack of data for altmetric trends during the COVID-19 pandemic, we conducted a comprehensive, multivariable analysis of top dermatology manuscripts published during this time period.

Objective

We aim to assess (1) the relationship between traditional bibiliometrics and Altmetrics and (2) factors associated with high AAS.

Methods

All abstracted articles published in the top-5 (ranked by SCImago Journal Rankings) peer-reviewed dermatology journals published in 2021 were included in our study. We collected AAS as the dependent variable and categorical predictor variables included journal title, whether a conflict of interest existed, open access status, whether the article was related to COVID-19 or skin-of-color research, and the type of research (eg, clinical, basic science, review, etc). Numerical predictor variables consisted of the impact factor of journal, total citations, and number of authors. Multivariable linear or logistic regression models were used.

Results

The relationship between AAS and citation number was significant by multivariable analysis during the COVID-19 pandemic (P<.001). Numerous factors, including studies related to COVID-19, whether the article was open access, title of the journal, and journal impact factor were also independently related to higher AAS (P<.002).

Conclusions

Our results validate the use of altmetrics as a complement to traditional bibliometrics, especially in times of widespread scientific interest. Despite existing in a complex realm of bibliometrics, there are also discernable patterns associated with higher AAS. This is especially relevant in the era of growing technologic importance and utility to assess the impact of scientific works within the general public.
Impact of Beliefs About Local Physician Supply and Self-Rated Health on Willingness to See a Nurse Practitioner During the COVID-19 Pandemic: Web-Based Survey and Experiment (Preprint)
Authors: Campos-Castillo Celeste
Published: August 2023

BACKGROUND

The COVID-19 pandemic overburdened primary care clinicians. For nurse practitioners (NPs) to alleviate the burden, the public must be willing to see an NP over a physician. Those with poor health tended to continue seeking care during the pandemic, suggesting that they may be willing to see an NP.

OBJECTIVE

The aim of this study is to evaluate the public’s willingness to see an NP for primary care and how this may be associated with their beliefs about the local supply of physicians and self-rated health. Two studies were conducted: (1) a survey to identify correlations and (2) an experiment to assess how willingness is dependent on information about the local supply of physicians.

METHODS

The survey and experiment were conducted digitally in April and December 2020, respectively. Participants were US adults recruited from Amazon’s Mechanical Turk platform. The key independent variables were self-rated health, which was a dichotomized 5-point scale (excellent, very good, good vs fair, and poor), and beliefs about local physician supply. The survey measured beliefs about local physician supply, while the experiment manipulated beliefs by altering information the participants read about the local supply of physicians. Willingness to see an NP was assessed in 2 ways. First as an overall preference over a physician and the second as a preference given 2 clinically significant scenarios in which participants imagined they were experiencing either coughing or a headache (presentation order randomized). Multiple regressions and ANOVAs were used to assess how beliefs about the local physician supply and self-rated health were associated with overall willingness to see an NP. Bivariate probits simultaneously estimated willingness to see an NP in the 2 clinically significant scenarios.

RESULTS

The survey showed that concerns about physician supply were associated with lower willingness to see an NP among respondents with comparatively better health but a greater willingness among respondents with comparatively worse health. The experiment suggests that only the latter is causal. For the 2 clinically significant scenarios, these patterns appeared for the coughing scenario in the survey and the headache scenario in the experiment.

CONCLUSIONS

US adults with comparatively worse self-rated health become more willing to see an NP for primary care when they hear information that raises their concerns about the local physician supply. The differences between the survey and experiment results may be useful for interpreting findings from future studies. Findings may aid in managing finite health care resources during public health crises and crafting successful messaging by NP advocacy groups. Efforts to address nursing shortages will also be needed.
Exploring Psychotherapists’ Attitudes on Internet- and Mobile-Based Interventions in Germany: Thematic Analysis (Preprint)
Authors: Hildebrand Anne Sophie , Planert Jari , Machulska Alla , Margraf Lena Maria , Roesmann Kati , Klucken Tim
Published: August 2023

BACKGROUND

In recent years, internet- and mobile-based interventions (IMIs) have become increasingly relevant in mental health care and have sparked societal debates. Psychotherapists’ perspectives are essential for identifying potential opportunities for improvement, facilitating conditions, and barriers to the implementation of these interventions.

OBJECTIVE

This study aims to explore psychotherapists’ perspectives on opportunities for improvement, facilitating conditions, and barriers to using IMIs.

METHODS

The study used a qualitative research design, utilizing open-ended items in a cross-sectional survey. A total of 350 psychotherapists were asked to provide their written opinions on various aspects of IMIs. Thematic analysis was conducted to analyze the data and identify core themes.

RESULTS

The analysis revealed 11 core themes related to the use of IMIs, which were categorized into 4 superordinate categories: “Applicability,” “Treatment Resources,” “Technology,” and “Perceived Risks and Barriers.” While many psychotherapists viewed IMIs as a valuable support for conventional psychotherapy, they expressed skepticism about using IMIs as a substitute. Several factors were perceived as hindrances to the applicability of IMIs in clinical practice, including technological issues, subjective concerns about potential data protection risks, a lack of individualization due to the manualized nature of most IMIs, and the high time and financial costs for both psychotherapists and patients. They expressed a desire for easily accessible information on evidence and programs to reduce the time and effort required for training and advocated for this information to be integrated into the conceptualization of new IMIs.

CONCLUSIONS

The findings of this study emphasize the importance of considering psychotherapists’ attitudes in the development, evaluation, and implementation of IMIs. This study revealed that psychotherapists recognized both the opportunities and risks associated with the use of IMIs, with most agreeing that IMIs serve as a tool to support traditional psychotherapy rather than as a substitute for it. Furthermore, it is essential to involve psychotherapists in discussions about IMIs specifically, as well as in the development of new methodologies in psychotherapy more broadly. Overall, this study can advance the use of IMIs in mental health care and contribute to the ongoing societal debate surrounding these interventions.
Basis Set Effects on the Stabilities and Interaction Energies of Small Amide Molecules Adsorbed on Kaolinite Surface
Authors: Mohd Nabil Najwa-Alyani , Ang Lee Sin , Sulaiman Shukri
Published: August 2023

Adsorptions of small amide molecules, acetamide (AA) and N-methyl-acetamide (NMA) on the surface of kaolinite are investigated in this study. The focus is on the basis set effects towards the stabilities and the interaction energies of the molecules on the Al–O surface. With a fixed B3LYP functional, we increased the size of the basis sets for the single-point calculations, to find the converged interaction energies and obtain the relative stabilities. We found that, under the direct usage of Pople-type and Dunning’s correlation consistent basis sets, it is not possible to achieve the pattern of convergence for the interaction energies and the relative stabilities. Compared to the complete basis set (CBS) extrapolation scheme, the double zeta basis sets deviated the most, in the range of 21 to 27%, while it is from 1 to 7% for the triple zeta basis sets. Based on the results, we suggest using 6-311++G(2df,2pd) or cc-pVQZ for energy-related quantities. Compared to AA, NMA attached more strongly by 0.5 eV on the surface of Al–O.
Synthesis of ZnO Nanoparticle and Utilized as a Drug Carrier to Treat Leukemia
Authors: Jarullah Areej Ali , Khamees Nidhal Meteab , Musa Taghreed Mohy Al-Deen
Published: August 2023

This study includes two parts, and the first was the preparation of the Zn(II)complex by reacting N-[4-(5-{(Z)-[(5-oxo-2-sulfanyl-4,5-dihydro-1H-imidazol-1-yl)imino]methyl}furan-2-yl)phenyl]acetamide with ZnCl2. The complex was characterized by using microscopic analysis such as UV-Vis spectrum, LC-MS, FTIR spectrophotometer, measurements of conductivity, magnetic susceptibility, and atomic absorption. The second part was the preparation of the ZnO nanoparticles by dissolving the Zn(II) complex in HNO3 and HCl and its use as a drug transporter to treat leukemia. FSEM, TEM, and XRD were examined for the characterization of ZnO nanoparticles that will be used in the synthesis of most medicines and drugs in the future.