Enhancing Concrete Sustainability: A Critical Review of the Performance of Recycled Concrete Aggregates (RCAs) in Structural Concrete by Alireza Alibeigibeni, Flavio Stochino, Marco Zucca, Fernando López Gayarre

“…However, pretreatment methods—mechanical, chemical, and thermal—along with optimized mix designs and the use of supplementary cementitious materials (SCMs) have shown to significantly improve the concrete properties of RCAs. …”
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Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters by Farzaneh Bagheri, Jakson Bonaldo, Naki Guler, Marco Rivera, Patrick Wheeler, Rogerio Lima

“…The combination of these methods ensures faster and stable tracking under dynamic irradiance conditions. …”
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FS-STFNet: a few-shot adaptive spatiotemporal fusion network for short-term tropical cyclone intensity forecasting by Mengjiao Qin, Jingqi Wang, Yanshuo Wu, Yuhan Zhang, Wuxia Lin, Shoujuan Shu

“…A test applying the FS-STFNet to TCs in Northwest Pacific from 2019 to 2021 demonstrate the effectiveness and superiority compared to other methods. The model achieves optimal performance during stable TCs structures while effectively reducing biases for weak TCs or topography-affected cases through adaptive adjustments. …”
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Tuning Up In Vitro Growth and Development of <i>Cannabis sativa</i>: Recent Advances in Micropropagational Approach by S. M. Ahsan, Md. Injamum-Ul-Hoque, Ashim Kumar Das, Shifa Shaffique, Mehedi Hasan, Sang-Mo Kang, In-Jung Lee, Hyong Woo Choi

“…As a dioecious and anemophilous plant, it produces staminate and pistillate inflorescences on separate plants and relies on wind for pollination, rendering traditional propagation methods challenging owing to high genetic recombination in progeny. …”
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Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State by Qian Hu, Jessica Irwin, Qi Sun, Christopher Messenger, Lami Suleiman, Ik Siong Heng, John Veitch

“…However, the resulting computational demands for analyzing such prolonged signals pose a critical challenge that existing Bayesian methods cannot feasibly address in the 3G era. To bridge this critical gap, we demonstrate a machine learning–based workflow capable of producing source parameter estimation and constraints on equations of state (EOSs) for hours-long BNS signals in seconds with minimal hardware costs. …”
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Current Context of <i>Cannabis sativa</i> Cultivation and Parameters Influencing Its Development by Andreia Saragoça, Ana Cláudia Silva, Carla M. R. Varanda, Patrick Materatski, Alfonso Ortega, Ana Isabel Cordeiro, José Telo da Gama

“…This review covers key factors affecting <i>C. sativa</i> cultivation, including photoperiod, light spectrum, cultivation methods, environmental controls, and plant growth regulators. …”
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Transfer Learning-Based Interpretable Soil Lead Prediction in the Gejiu Mining Area, Yunnan by Ping He, Xianfeng Cheng, Xingping Wen, Yan Yi, Zailin Chen, Yu Chen

“…The transfer learning model (ResNet-pH-Pb) significantly outperformed direct modeling methods (PLS-Pb, SVM-Pb, and ResNet-Pb), with an R² of 0.77, demonstrating superior accuracy. …”
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From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…Among the 72 models combining nine feature selection methods and eight machine learning classifiers, the optimal model combination achieved discriminative performance with an average area under the curve (AUC) of 0.615 over 100 iterations under five‐fold cross‐validation. …”
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Effects of autolytical fish protein hydrolysate on growth performance, survival rate, and hematological indices in farmed juvenile beluga, Huso huso by Ali Hosseinpour Zelaty

“…Introduction: Aquaculture's rapid expansion has led to a high demand for fishmeal, a key protein source in aquafeed. To address this, alternatives like fish protein hydrolysates (FPHs) are being investigated. …”
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How to reduce the risk of primary engraftment failure after haploidentical hematopoietic stem cell transplantation in patients with acute myeloid leukemia? by D. K. Zhogolev, S. N. Bondarenko, A. G. Smirnova, Yu. Yu. Vlasova, D. A. Chernyshova, I. S. Moiseev, A. D. Kulagin

“…However, the high incidence of primary graft failure remains a significant challenge. Optimizing transplantation strategies, including the selection of the graft source and modification of conditioning regimens, may improve haplo‑HSCT outcomes.   …”
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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

“…However, existing identification methods have limitations such as subjectivity, poor spatial continuity, and a narrow application scale. …”
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Proteins from Microalgae: Nutritional, Functional and Bioactive Properties by Juan Pablo García-Encinas, Saul Ruiz-Cruz, Jousé Juárez, José de Jesús Ornelas-Paz, Carmen Lizette Del Toro-Sánchez, Enrique Márquez-Ríos

“…However, the efficient extraction of proteins is challenged by their rigid cell walls, necessitating the development of optimized methods such as bead milling, ultrasonication, enzymatic treatments, and pulsed electric fields. …”
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DESIGNING LIGHTING CONTROL CIRCUIT FOR DEVELOPING IMAGE SCANNING DEVICE OF BULLET AND CARTRIDGE CASE TRACE by Hoang Cong Son, Le Duy Tuan, Nguyen Trong Hung, Mai Dang Linh, Dinh Thi Huyen Trang*

“…The lighting system is designed in concentric rings to optimize illumination on the sample surface, such as: illuminance on the sample surface reaching 10,000 lx; light source type: white LED; total number of circularly arranged lights: 80 LEDs, divided into 2tworings, each with eight equally spaced zones; a side lighting module comprising 10 LEDs arranged in 2 rows of 5 LEDs each; and the ability to adjust lighting intensity and switch individual zones on/off via computer-controlled software. …”
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Electrodermal response to olfactory stimuli in children with autism spectrum disorder: a systematic review of emotional and cognitive regulation by David Pérez-Jorge, Elena Olmos-Raya, Isabel Alonso-Rodríguez, Itahisa Pérez-Pérez

“…IntroductionThe study of electrodermal activity (EDA) in individuals with Autism Spectrum Disorder (ASD) is gaining scientific interest as a potential source of physiological biomarkers that can objectively improve the diagnosis of this condition. …”
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Multifaceted applications of dye-saturated biochar: Agronomic amelioration, thermochemical valorization, and catalytic efficacy in advanced environmental remediation paradigms by Sandra Ramachandran, Anshuman Gupta, Neelaambhigai Mayilswamy, Amrita Nighojkar, Balasubramanian Kandasubramanian

“…This review provides a critical evaluation of SSB's adsorption performance, elucidating mechanisms such as π-π interactions, electrostatic attraction, and surface complexation. Regeneration methods, including thermal treatment, chemical washing, and solvent desorption, are analyzed in terms of efficiency and scalability. …”
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Analysis of the availability and affordability of pharmaceuticals for children in need of palliative care by D. M. Medvedeva, I. A. Narkevich, O. D. Nemyatykh

“…Objective: to analyze the availability and affordability of pharmaceuticals for children in need of palliative care.Materials and methods. The price, affordability and physical availability of pharmaceuticals for children in need of palliative care were analyzed in accordance with the Health Action International guidelines of the World Health Organization. …”
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IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…Utilizing the aforementioned methods, an IKE protocol stateful fuzz testing tool named IKEChecker was implemented, supporting testing of both IKEv1 and IKEv2 protocols. …”
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The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

“…The primary objectives are to assess the development and effectiveness of AI-driven algorithms in detecting illicit transactions, analyze the role of machine learning in real-time monitoring and predictive analytics, and investigate regulatory and ethical challenges that constrain AI’s full potential in financial crime prevention. Employing a mixed-methods approach, the study integrates qualitative insights from case studies of major financial institutions and multinational corporations with quantitative analyses of AI adoption metrics, detection rates, and financial crime trends, drawing on data sourced from leading regulatory bodies such as the Financial Action Task Force, World Bank, and International Monetary Fund. …”
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Emerging Trends in the Integrating Remote Sensing and Machine Learning for Groundwater Resources Management: A Bibliometric Study by Abolfazl Akbarpour, Moein Tosan, Raziyeh Shamshirgaran

“…The integration of multi-source remote sensing data (including data from new-generation satellites and aerial platforms) with advanced artificial intelligence algorithms (such as deep neural networks, physics-informed models, and reinforcement learning methods) is expected to become a central focus for leading researchers in hydrology, water resources, and machine learning engineering. …”
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Can eating nuts reduce the risk of dementia? - narrative review by Ewa Malaka, Martyna Byrska, Marlena Zubiak, Hanna Barska-Kobylińska, Marta Janura, Sara Langner

“…In recent years, there has been growing interest in the role of diet in reducing the risk of developing dementia, including the consumption of nuts, which are a rich source of nutrients with potential neuroprotective properties. …”
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