Identifying factors affecting the creation of social interactions and functional security (case study: Mehr housing in Boroujard city) by Seyed Mohammad Ali Ahmadi Tabatabaie, Ferial Ahmadi, Vahid Heidar Nattaj

“…by growth of population and the increasing need for housing, the establishment and design of Mehr housing complexes around cities began. However, due to reasons such as inappropriate location selection, the residence of individuals with different cultures, and the lack of a coherent plan, the quality does not meet the desired standards like a traditional Iranian house. …”
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Leaching of heavy metals from post-neutralization sludge from zinc and lead metallurgy using complexing, alkaline and acidic agents by Milena Nocoń, Irena Korus, Gabriela Kamińska

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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…The performance of the GLEO-coupled with the RFR model was compared with the standard Equilibrium Optimizer (EO) and other state-of-the-art algorithms in physical and physiological function estimation using biological signals.ResultsExperimental results showed that selected features and tuned hyperparameters demonstrated a significant improvement in root mean square error (RMSE), coefficient of determination (R2) and slope with values improving from 0.1330 to 0.1174, 0.7228 to 0.7853 and 0.6946 to 0.7414, respectively for the test dataset. …”
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Models of Acoustic Resonators in Studies of Sound-Absorbing Structures by Дмитро Дмитрович Разумов

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Thermal properties of Cu2S binary copper sulfides by М.М. Кубенова, К.А. Кутербеков, М.Х. Балапанов, Р.Х. Ишембетов, Г.Д. Кабдрахимова, Р.А. Алина, М. Татай, Р. Ильдос

“… Copper chalcogenides have a complex electronic structure due to the interaction of hybridized s- and p-states of chalcogen forming a valence band with 3d states of copper, which greatly complicates the interpretation of temperature dependences of kinetic parameters having a nonmonotonic character. …”
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Study on the anti-interference characteristics of neuronal networks: a comparative study of chemical synapses and electrical synapse by Xiang Li, Mai Lu

“…The correlation coefficients after superposition interference become 0.569, 0.163, and 0.88, respectively. …”
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Quantitative Analysis of the Labeling Quality of Biological Images for Semantic Segmentation Based on Attribute Agreement Analysis by Rong Xiang, Xinyu Yuan, Yi Zhang, Xiaomin Zhang

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Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model’s robustness in complex environments. Subsequently, a low-rank and sparse representation model is employed to construct background dictionaries, low-rank coefficient matrices for the background, and sparse anomaly matrices, enabling effective spatial information utilization for detecting anomalous targets. …”
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Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

“…The accurate prediction of significant wave height presents a complex yet vital challenge in the fields of ocean engineering. …”
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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

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Large River Overrides Tidal Marsh Outwelling in Spatial Gradients of Dissolved Organic Carbon: Observations Across Yangtze Estuary–Coastal Marsh Complex by Run Li, Deepak R. Mishra, Xuechu Chen, Fang Cao

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Optimizing Controlled-Resonance Acoustic Metamaterials with Perforated Plexiglass Disks, Honeycomb Structures, and Embedded Metallic Masses by Giuseppe Ciaburro, Gino Iannace, Virginia Puyana Romero

“…The metamaterial’s acoustic properties were experimentally characterized using an impedance tube (Kundt tube), allowing the measurement of the Sound Absorption Coefficient (SAC) over an expansive frequency selection. …”
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Aerial image segmentation of embankment dams based on multispectral remote sensing: a case study in the Belo Monte Hydroelectric Complex, Pará, Brazil by Carlos André de Mattos Teixeira, Thabatta Moreira Alves de Araujo, Evelin Cardoso, Marcos Antonio Costantin Filho, João Weyl Costa, Carlos Renato Lisboa Frances

“…As a first step toward this automation, this study introduces a methodology for land cover segmentation of earth-rock embankment dam structures within the Belo Monte Hydroelectric Complex, located in the state of Pará, northern Brazil. …”
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Multi-criteria decision making for solar site selection in Punjab, India: An evaluation of site suitability using hybrid MCDM techniques towards the goal of sustainable energy deve... by Tanu Sharma, Amit Sarin

“…The results showed strong agreement among the methods, with Spearman’s coefficients ranging from 0.82 to 0.96 and Kendall’s tau values between 0.62 and 0.91, confirming the robustness of the site selection outcomes. …”
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Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches? by Péter Czine, Péter Balogh, Zsanett Blága, Zoltán Szabó, Réka Szekeres, Stephane Hess, Béla Juhász

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A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices. by Shafiqah Azman, Dharini Pathmanathan, Vimala Balakrishnan

“…First, a random forest subset-based (RFS) feature selection with repeated [Formula: see text]-fold cross-validation selects the best subset of features from eight predictors: highest price, lowest price, closing price, volume, change, price change ratio, and amplitude. …”
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Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management by Tulio J. Francisco, Bruno da Silva Macêdo, Zaher Mundher Yaseen, Nikolay O. Nikitin, Matteo Bodini, Angela Gorgoglione, Camila M. Saporetti, L. Goliatt

“…This study proposes an innovative approach to predicting drought use, the Evolutionary Polynomial Expansion with Feature Selection (EPEFS) model, a hybrid method that integrates polynomial regression with feature selection to increase accuracy and interpretability. …”
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Interrater reliability of the DSM-5 and ICD-11 Criterion A for PTSD and complex PTSD in parents of children with autism using the Life Events Checklist by Kylie Hinde, Gert Martin Hald, David Hallford, Theis Lange, Mikkel Christoffer Berg B. Arendt, Silvia Pavan, David Austin

“…Data from 200 randomly selected parents of children, all meeting symptom thresholds for PTSD or complex PTSD, were analysed. …”
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Selective six spectrophotometric methods for determination of remdesivir and moxifloxacin hydrochloride for COVID-19 treatment with overlapping spectra: a comprehensive evaluation... by Eman A. Madbouly, Abdalla A. El-Shanawani, Sobhy M. El-Adl, Ahmed S. Abdelkhalek

“…The proposed methods were validated as per ICH guidelines, demonstrating excellent linearity over the concentration ranges of 1–15 µg/mL for RDV and 1–10 µg/mL for MFX, with correlation coefficients exceeding 0.999. They showed high sensitivity with LODs from 0.26 to 0.92 µg/mL and LOQs from 0.27 to 0.96 µg/mL for both drugs, enabling reliable trace analysis of the studied drugs in complex matrices. …”
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A reagent-free, fouling-resistant electrochemical multifunctional peptide sensor for highly sensitive and rapid detection of Alzheimer's disease biomarkers by Yajing Ji, Xueqin Li, Xiumin Li, Xiaochun Hu, Wei Cong, Honggang Hu, Siyao Liu, Yan Chen

“…Moreover, the sensor displayed strong resistance to high concentrations of endogenous interferents (interference coefficient <12.76 %) and excellent selectivity in the presence of both interferents and Aβ aggregates. …”
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