Structure-based molecular screening and dynamic simulation of phytocompounds targeting VEGFR-2: a novel therapeutic approach for papillary thyroid carcinoma by Shuai Wang, Lingqian Zhang, Wenjun Zhang, Xiong Zeng, Jie Mei, Weidong Xiao, Lijie Yang

“…Additionally, the selected compounds exhibited highly favorable ADMET properties, including optimal water solubility, efficient gastrointestinal absorption, and a non-hepatotoxic profile, all aligning with Lipinski’s rule of five. …”
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Integration of theoretical principals of psychosomatic medicine and practice of Balint supervision in physicians in the promotion of effective professional communication by V A Vinokur, T A Karavaeva

“…The analysis of Balint groups effectiveness provided during more than fifty years brought an evidence that Michael Balint presented very efficient method which helped physicians in different medical fields and psychologists reduce their emotional arousal in the treatment of “difficult” patients who are patients with psychosomatic disorders very frequently. …”
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Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…A general control strategy for smooth blasting is too difficult to be available due to the uncertainties and complexity of rock masses, as well as the varying blasting operations. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Then, we implement parallel neural networks to handle computations efficiently. Then, conformal prediction technique is implemented to ensure trustworthy and confident performance. …”
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Effects of walking long distances by ECD learners in Shamva district, Mashonaland Central Province, Zimbabwe by Lucky Mutonhodza

“…It is unearthed that when ECD learners walk long distances to school, it is a complex and heterogeneous problem that can lead to several issues. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…Current methods often ignore these correlations and poorly select parameters, missing valuable insights. Additionally, they lack interpretability, operating efficiently with limited resources, and root cause identification. …”
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Agora: A Distributed Language Model Framework With API-Call Support for Integrated Climate Forecasting by Alexandra Udrescu, Dan-Matei Popovici

“…We introduce Agora, a Generative AI-driven system that delivers expert answers and recommendations on climate and agriculture, transforming complex data into clear, natural language explanations. …”
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Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

“…In order to predict the compressive strength of SFRC efficiently and accurately, this study proposes a deep learning-based prediction model, trained and tested on a large set of experimental data. …”
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Simultaneous single-sample determination of NMNAT isozyme activities in mouse tissues. by Giuseppe Orsomando, Lucia Cialabrini, Adolfo Amici, Francesca Mazzola, Silverio Ruggieri, Laura Conforti, Lucie Janeckova, Michael P Coleman, Giulio Magni

“…The variable contributions of the three individual isozymes to total NAD synthesis in the complex mixture was calculated by measuring reaction rates under three selected assay conditions, generating three linear simultaneous equations that can be solved by a substitution matrix calculation. …”
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Chemical analysis using miniaturized and Portable 3D printed systems: Where are we now? by Miryam Perrucci, Imran Ali, Fotouh R. Mansour, Halil I. Ulusoy, Songül Ulusoy, Abuzar Kabir, Ornella Abollino, Agnese Giacomino, Paolo Inaudi, Marcello Locatelli, Erika Maria Ricci

“…Each component has been subject to miniaturization, with careful attention to preserving analytical sensitivity, selectivity, and accuracy when applied to real samples. …”
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Formyl Peptide Receptors 1 and 2: Essential for Immunomodulation of Crotoxin in Human Macrophages, Unrelated to Cellular Entry by Luciana de Araújo Pimenta, Ellen Emi Kato, Ana Claudia Martins Sobral, Evandro Luiz Duarte, Maria Teresa Moura Lamy, Kerly Fernanda Mesquita Pasqualoto, Sandra Coccuzzo Sampaio

“…Crotoxin (CTX), the main toxin in <i>Crotalus durissus terrificus</i> venom, is a heterodimeric complex known for its antitumoral, anti-inflammatory, and immunomodulatory properties. …”
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A Novel Digital Audio Encryption Algorithm Using Three Hyperchaotic Rabinovich System Generators by Ameer K. Jawad, Gholamreza Karimi, Mazdak Radmelkshahi

“…We have tested and proven the efficiency of the proposed algorithm. The encrypted audio signals, achieving a Peak Signal-to-Noise Ratio (PSNR) of around −20 dB, exhibit high distortion, spectral complexity, very low correlation (round to zero), high entropy, and minimal time delay compared to other articles, making them resistant to decryption attempts by attackers. …”
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Table grape of Ukraine – varietal resources, pers­pectives of production and consumption by В. В. Власов, Н. А. Мулюкіна, І. А. Ковальова, Л. В. Герус

“…Depending on the ecological and geographical conditions, the conveyor can include a diffe­rent quantity of varieties, but to in order increase the efficiency and profitability it is necessary to have a few groups (from 2 to 4 varietes) of different ripening. …”
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Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images by Qiyuan Zhang, Xiaodan Zhang, Chen Quan, Tong Zhao, Wei Huo, Yuanchen Huang

“…The spatial expert adaptively adjusts channel weights to optimize spatial feature representation, enabling precise alignment and fusion of multi-resolution images, while the temporal expert incorporates a temporal squeeze-and-excitation mechanism and selective state space model (SSM) techniques to efficiently capture short-range temporal dependencies, maintain linear sequence modeling complexity, and further enhance overall spatiotemporal fusion throughput. …”
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Monitoring the Occurrence of <i>Aspergillus</i> in the Air of Intensive Care Units by Anna Inglot, Agnieszka Gniadek, Zuzanna Tokarz, Wirginia Krzyściak, Monika Papież, Paweł Krzyściak

“…The highest concentration of <i>Aspergillus</i> species complexes was detected during autumn, while the lowest was in spring. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…By reducing manual parameter adjustments and providing user-friendly tools, QPPLab enables researchers to efficiently study QPPs across diverse datasets and species, advancing our understanding of intrinsic brain dynamics.…”
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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…Different structures (e.g. scheduled visits) provide opportunities to develop effective, efficient care, but flounder without established, trusting relationships. …”
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Mixed hemimicelle dispersive solid-phase extraction of methamphetamine from urine by ionic liquid coated silica nanoparticles by Sepideh Boyaghchi, Arezou Taghvimi, Samin Hamidi, Siavoush Dastmalchi, Asrin Pakravan, Yousef Javadzadeh

“…Coated ionic liquid silica nanoparticles (CILSNPs) are appropriate adsorbent candidates to extract methamphetamine with high selectivity and sensitivity from complex urine matrix using the mixed hemimicelle dispersive solid-phase extraction (MHMDSPE) method. …”
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Catalytic peptide-based coacervates for enhanced function through structural organization and substrate specificity by David Q. P. Reis, Sara Pereira, Ana P. Ramos, Pedro M. Pereira, Leonor Morgado, Joana Calvário, Adriano O. Henriques, Mónica Serrano, Ana S. Pina

“…Our findings highlight the potential of a single peptide to induce coacervate formation, selectively recruit substrates, and mediate catalysis, enabling a simple design for low-complexity, single peptide-based compartments with broad implications. …”
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CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

“…In-Vehicle Networks (IVNs) have become increasingly complex due to the need to enhance driving experience and provide passengers with a broader range of services. …”
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