Fabrication of mycelium (oyster mushroom)-based composites derived from spent coffee grounds with pineapple fibre reinforcement by Chatchai Kohphaisansombat, Yanisa Jongpipitaporn, Pitak Laoratanakul, Sukon Tantipaibulvut, Jirayut Euanorasetr, Nattawut Rungjindamai, Charuwan Chuaseeharonnachai, Papichaya Kwantong, Sayanh Somrithipol, Nattawut Boonyuen

“…The MBCs reinforced with 10% NPFs exhibit the highest density and compressive strength, while the MBC with 30% NPFs outperforms others in terms of bending strength, water absorption, swelling, and sound absorption. …”
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High-Quality Multispectral Image Reconstruction for the Spectral Camera Based on Ghost Imaging via Sparsity Constraints Using CoT-Unet by Tao Hu, Jianxia Chen, Shu Wang, Jianrong Wu, Ziyan Chen, Zhifu Tian, Ruipeng Ma, Di Wu

“…Based on the U-Net, Res2Net-SE-Conv is employed instead of convolutional blocks to extract local and global image features at a more fine-grained level while adaptively adjusting the channel feature response. …”
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Psychological Peculiarities of Understanding by Students Internet Texts by Сергій Максименко, Олена Немеш, Ксенія Максименко, Олександр Набочук

“…These peculiarities are: (1) understanding the Internet text by its contextuality, the predictors of which are: reality, versatility, paradigm, descriptiveness, deepness, subjectiveness and personally centered qualities; (2) understanding the Internet text by its psychological context, which includes such predictors, as: psychological justification, compressiveness, interest, entertaining, satisfaction, harmoniousness, emotiveness, expressiveness; (3) understanding the Internet text by its emotional context and predictors, such as: comfort, stylistic expressiveness, convenience, expressiveness, lightness, colloquial features, journalistic style of writing; (4) understanding the Internet text by its multifaceted paradigm, which is characterized by such predictors: paradigmatic, space, being updated, its stimulating, dialogic content, comfort characteristics of perceiving, frivolousness.…”
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Osteoclast-like activity of U937 cells, peripheral blood mononuclear cells, and periodontal ligament fibroblasts subjected to mechanical stress by centrifugal force by Carlos Guerrero Fonseca, Pedro Moreno Beltrán, Angie Bedoya Rodríguez, Bibiana Pazos Valencia, Juan Sebastián Bedoya Trujillo, Orlando Acosta

“…Centrifugal force, as well as PEG-induced cell fusion, can promote osteoclast-like features, including oxidative stress. The present experimental model allowed us to understand the mechanisms underlying the osteoclast differentiation associated with ROS production stimulated by mechanical compressive force, where NAC can contribute to reducing this oxidative stress condition.…”
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Customizable metamaterial design for desired strain-dependent Poisson’s ratio using constrained generative inverse design network by Sukheon Kang, Hyunggwi Song, Hyun Seok Kang, Byeong-Soo Bae, Seunghwa Ryu

“…These curves are then compressed using principal component analysis (PCA) to reduce dimensionality while preserving essential features. …”
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Prediction of UHPC mechanical properties using optimized hybrid machine learning model with robust sensitivity and uncertainty analysis by ZhiGuang Zhou, Jagaran Chakma, Md Ahatasamul Hoque, Vaskar Chakma, Asif Ahmed

“…To improve model interpretability, SHAP-based sensitivity analysis including feature importance plots, beeswarm plots, and heatmaps were employed to analyze the contribution of input features to model predictions. …”
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Structural and functional analysis of the accessory gene regulators of Staphylococcus aureus and Staphylococcus epidermidis: an in Silico approach by Subhamoy Dey, Tuhin Manna, Kartik Chandra Guchhait, Monalisha Karmakar, Debarati Jana, Priyanka Raul, Saroj Ballav, Mousumi Manna, Subrata Hazra, Amiya Kumar Panda, Chandradipa Ghosh

“…By analysing the docking potential of AgrB and AgrD, it has been found that S. aureus possesses higher docking score than S. epidermidis. Conclusion Such compressive investigations could provide crucial insights into the structural features of Agrs in S. aureus and S. epidermidis, that are actively implicated in quorum sensing signalling-mediated virulence factor regulation and help in the identification of new Agr-dependent quorum sensing inhibitors. …”
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Effect of residual stress on the mechanical strength in Al Beryl composites subjected to extrusion process by K.G. Sagar, P. SampthKumaran

“…The metallurgical analysis has been carried out to obtain the microstructure features as well as the grain size distribution and relating them to other parameters.The Aluminum Beryl composites in the extruded condition (Al-B-0 EX) have yielded very good results in respect of tensile strength and hardness, finer microstructure and smaller grain size over annealed composites. …”
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High Strength–Ductility Synergy of As-Cast B2-Containing AlNbTaTiZr Refractory High-Entropy Alloy Under Intermediate and Dynamic Strain Rates by Hashim Naseer, Yangwei Wang, Muhammad Abubaker Khan, Jamieson Brechtl, Mohamed A. Afifi

“…Accordingly, this study investigates the strain-rate-dependent compressive mechanical behavior of B2-containing (TiZrNb)_79.5(TaAl)_20.5 refractory high-entropy alloy (RHEA) at room temperature. …”
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Is a thermal pulsation system (LipiFlow) effective as a standalone treatment for meibomian gland dysfunction and dry eye? A systematic review and meta-analysis by Kai-Yang Chen, Hoi-Chun Chan, Chi-Ming Chan

“…The pathophysiology of dry eye disease features both aqueous deficiency (loss of aqueous tear production) and increased evaporation (loss of the lipid layer), with the latter mechanism responsible for most of the disease presentation. …”
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Evaluación del Derrame de Crudo de la Línea de Alta Presión de Pozo Sacha SA-78 en el Oriente Ecuatoriano, aplicando Métodos Analíticos de Flujo en Medios Porosos (Ecuaciones de Da... by José Luis Jines Muñoz, Heinz Terán Mite

“…Some data were collected of PECS IECONTSA S.A Company; it did the cleaner’s hardships and Government Oil Company such as spill locate, ground’s features, oil recovered and PVT data respectively. …”
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Transferring Learned ECG Representations for Deep Neural Network Classification of Atrial Fibrillation with Photoplethysmography by Jayroop Ramesh, Zahra Solatidehkordi, Raafat Aburukba, Assim Sagahyroon, Fadi Aloul

“…We derive and feed heart rate variability (HRV) and pulse rate variability (PRV) features as auxiliary inputs to the framework for robustness. …”
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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

“…The ANN model, superior to other regression techniques, excels in recognizing nonlinear correlations between features and an objective variable, a challenge for traditional regression models. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

“…The SHAP method can identify and visualize the contribution direction (positive/negative) and magnitude of the input features and reveal the relative importance of parameters at both local and global levels simultaneously. …”
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Evaluación del Derrame de Crudo de la Línea de Alta Presión de Pozo Sacha SA-78 en el Oriente Ecuatoriano, aplicando Métodos Analíticos de Flujo en Medios Porosos (Ecuaciones de Da... by José Luis Jines Muñoz, Heinz Terán Mite

“…Some data were collected of PECS IECONTSA S.A Company; it did the cleaner’s hardships and Government Oil Company such as spill locate, ground’s features, oil recovered and PVT data respectively. …”
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Evaluación del Derrame de Crudo de la Línea de Alta Presión de Pozo Sacha SA-78 en el Oriente Ecuatoriano, aplicando Métodos Analíticos de Flujo en Medios Porosos (Ecuaciones de Da... by José Luis Jines Muñoz, Heinz Terán Mite

“…Some data were collected of PECS IECONTSA S.A Company; it did the cleaner’s hardships and Government Oil Company such as spill locate, ground’s features, oil recovered and PVT data respectively. …”
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The influence of heterogeneity of lacustrine shale facies on rock mechanical properties and brittleness: a case study of Jurassic lacustrine shale reservoirs in Northeast Sichuan B... by Haibo Zhao, Haibo Zhao, Shujun Yin, Shujun Yin, Xuefeng Yang, Xuefeng Yang, Weilin Yan, Weilin Yan, Guangwu Bi, Guangwu Bi, Jianliang Zhang, Jianliang Zhang, Zimeng Xing

“…Through a correlation analysis of normalized rock parameters and the brittleness index derived from stress-strain curves with the fracture breakdown pressure and extension pressure observed in field fracturing, a comprehensive evaluation index has been established using the analytic hierarchy process to reflect the brittleness of deep lacustrine shale.DiscussionThis index serves effectively in characterizing the brittleness features of deep lacustrine shale, and evaluations suggest that the Liang upper section has a relatively high brittleness index and good compressibility, marking it as a key target layer for future shale gas development.…”
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Suppression of Cr nanoclusters and enrichments in Fe–Cr based alloys with cryogenic processing for future energy sector by Matic Jovičević-Klug, Carlo Alberto Brondin, Antonio Caretta, Carsten Bonnekoh, Florian Gossing, Alexandra Vogel, Michael Rieth, Jeffrey McCord, Michael Rohwerder, Patricia Jovičević-Klug

“…The combined investigation of magnetic properties and microstructural features elucidates the clear formation of carbides over intermetallic enrichment zones that stabilizes the microstructure. …”
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A complete structural analysis of the FⅠ17 strike-slip fault and its hydrocarbon enrichment factors, Tarim basin, NW China by Shi Chen, Shi Chen, Xinxin Liang, Xinxin Liang, Xingguo Song, Xingguo Song, Yintao Zhang, Zhou Xie, Yuan Neng, Yuan Neng, Pengfei Kang, Jianxun Zhou, Jianxun Zhou

“…The fault can be divided into three structural layers based on deformation features. The deep layer, situated beneath the TЄ3 interface (the bottom of the Upper Cambrian), shows basement rifts and weak strike-slip activity. …”
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A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees by HaDi MaBouDi, Mark Roper, Marie-Geneviève Guiraud, Mikko Juusola, Lars Chittka, James AR Marshall

“…Integrating behavioural, neurobiological, and computational insights, this study highlights how spatiotemporal coding in the lobula efficiently compresses visual features, offering broader insights into active vision strategies and bio-inspired automation.…”
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