A presença feminina nos cursos universitários e nas pós-graduações: desconstruindo a idéia da universidade como espaço masculino Women's presence in undergraduate and graduate cour... by Moema de Castro Guedes

“…The present analysis takes the slice of the population that holds a university diploma and contextualizes it within the broader process of boosting enrollment at Brazilian schools, while emphasizing continuities and ruptures in the pattern of male and female participation in this arena. …”
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The Empowering ELSA SPEAK: A Modern Approach to English Speaking and Pronunciation Mastery with an AI-Powered for EFL Students by Naura Ariesta, Shifa Mantika Nur Aulia, Yulian Purnama

“…The evidence indicates that ELSA Speak significantly enhances learners’ pronunciation precision and oral fluency, while concurrently boosting their self-confidence and intrinsic motivation to engage in language practice. …”
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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

“…Abstract In order to provide the facilities to design the supercritical fluid (SCF) processes for micro or nanosizing of solid solute compounds such as drugs, it is essential to obtain their solubility in green solvents like pressurized CO2. …”
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Freedom of movement for workers: economic, social and demographic aspects for Ukraine by Andriunina D. O.

“…The author emphasises the significant role of labour migrants’ remittances in driving domestic demand expansion, boosting consumption, and spurring entrepreneurship through increased investment and skill development. …”
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Predicting congenital syphilis cases: A performance evaluation of different machine learning models. by Igor Vitor Teixeira, Morgana Thalita da Silva Leite, Flávio Leandro de Morais Melo, Élisson da Silva Rocha, Sara Sadok, Ana Sofia Pessoa da Costa Carrarine, Marília Santana, Cristina Pinheiro Rodrigues, Ana Maria de Lima Oliveira, Keduly Vieira Gadelha, Cleber Matos de Morais, Judith Kelner, Patricia Takako Endo

“…<h4>Results</h4>The AdaBoost-BODS-Expert model, an Adaptive Boosting (AdaBoost) model that used attributes selected by health experts, presented the best results in terms of evaluation metrics and acceptance by health experts from PMCP. …”
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Melatonin regulates oxidative stress to delay senescence in Hemerocallis fulva L. by Haris Yousuf Lone, Moonisah Aftab, Wajahat Waseem Tantray, Aijaz A. Wani, Mohamad Arif Zargar, Inayatullah Tahir

“…Structurally analogous to the plant hormone indole-3-acetic acid, it regulates key processes like seed germination, growth, flowering and defense against abiotic stresses. …”
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Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty by Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud

“…A well-structured ML pipeline was developed to integrate these processes, optimizing the entire model development cycle for efficiency and practical implementation. …”
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A Comparative Study of Local and Global Construction Materials Sourcing Strategies for Road Projects in Nigeria by Araoye Olarinkoye Ajiboye, Micaiah Zhitsu Silas, Chinedu Chimdi Adindu, Elijah Aina Alhassan, Stephen Sunday Kolo

“…The study concludes that a high percentage of domestic material sourcing is essential for boosting the Nigerian economy through industrialization, employment generation, and a robust and self-sufficient economy. …”
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A Systematic Review of Opportunities and Limitations of Innovative Practices in Sustainable Agriculture by Anita Boros, Eszter Szólik, Goshu Desalegn, Dávid Tőzsér

“…Out of these, based on a thorough selection process, 291 were included in further evaluations. …”
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A BIBLIOMETRIC ANALYSIS OF ENGINEERING EDUCATION IN THE METAVERSE by Veselina Nedeva, Snejana Dineva, Svetoslav Atanasov

“…Nevertheless, despite its potential benefits for education, there are notable gaps in assessing learning processes within the Metaverse, especially concerning legal limitations and government oversight. …”
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Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence by Yushuang Dong, HuiPing Liao, Feiming Huang, YuSheng Bao, Wei Guo, Zhen Tan

“…Functional enrichment analysis indicated these genes participate in biological processes, including calcium-mediated signaling and regulation of binding. …”
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Enhancing Indoor mmWave Communication With ML-Based Propagation Models by Gustavo Adulfo Lopez-Ramirez, Alejandro Aragon-Zavala

“…We employ various ML models, including Artificial Neural Networks (ANNs), hybrid models integrating linear regression, ANNs, and Gaussian Processes, and Extreme Gradient Boosting (XGBoost), to predict and analyze the propagation loss in a controlled indoor setting. …”
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PECULIARITIES OF INVESTMENT STRATEGIES OF JAPAN AND THE PROSPECTS OF COOPERATION WITH RUSSIA by A. V. Kuznetsov

“…Analysis of modern tendencies of economic development and investment processes of Japan with special emphasis on reviewing problems and prospects for Russian-Japanese investment cooperation.Methodology. …”
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Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the "RegulaRN Leitos Gerais" platform. by Tiago de Oliveira Barreto, Fernando Lucas de Oliveira Farias, Nicolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Gleyson José Pinheiro Caldeira Silva, Chander de Oliveira Pinheiro, Maria Valéria Bezerra Medina, Felipe Ricardo Dos Santos Fernandes, Ingridy Marina Pierre Barbalho, Lyane Ramalho Cortez, João Paulo Queiroz Dos Santos, Antonio Higor Freire de Morais, Gustavo Fontoura de Souza, Guilherme Medeiros Machado, Márcia Jacyntha Nunes Rodrigues Lucena, Ricardo Alexsandro de Medeiros Valentim

“…The results evidenced which models could adequately assist medical regulators during the decision-making process for bed regulation, enabling even more effective regulation and, consequently, greater availability of beds and a decrease in waiting time for patients.…”
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Impact of Operational Performance and Service Quality Experience on Customer Satisfaction and Loyalty by Sang Tang My, Nguyen Quoc Anh

“…The data was analysed in two stages and processed using Smartpls 4.0 software. Result: The results show that SQE, OPF and CST have a positive impact on CLT. …”
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Bridging the communication gap in agrometeorological services: Enhancing the uptake and effectiveness for users in developing countries by Vieri Tarchiani, Sebastian Grey

“…Literature highlights that agrometeorological services support agricultural decision-making, boosting farmers’ resilience and income globally. However, challenges in communication and dissemination limit their effectiveness, particularly for smallholder farmers in remote areas. …”
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THE DEVELOPMENT OF INNOVATIVE ACTIVITY AS A CONDITION OF ECONOMIC GROWTH: TAJIKISTAN’S EXPERIENCE by M. Fayzulloev

“…The participation of insurance system compensating the possible risks and losses in the process of forming and developing the innovative activity is suggested. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…These models employed include Multi-head Attention Gated Recurrent Unit (MAGRU), long short-term memory (LSTM), Autoregressive Integrated Moving Average–Long Short-Term Memory (ARIMA–LSTM), and Prophet and gradient boosting models: CatBoost and XGBoost. Evaluation metrics (Mean Squared Error (MSE), Mean Absolute Error (MAE), Symmetric Mean Absolute Percentage Error (SMAPE), and Coefficient of Determination (R²)) indicated similar performance across models, with ARIMA–LSTM yielding the best results. …”
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Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato by Judith Ssali Nantongo, Edwin Serunkuma, Gabriela Burgos, Mariam Nakitto, Joseph Kitalikyawe, Thiago Mendes, Fabrice Davrieux, Reuben Ssali

“…A quick analytical method for the sensory traits could expedite the selection process in breeding programs. In this paper, the relationship between sensory panel and instrumental color plus texture features was evaluated. …”
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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

“…Based on the principle of complementary advantages, an ensemble model was established using Random Forest (RF) and Extreme Gradient Boosting Tree (XGBoost) as the basis. Finally, the SHAP tool was introduced to explain the model’s decision-making process. …”
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