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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Developing a Model of Wisdom Based on Successful Intelligence and Psychological Well-Being in Students: The Mediating Role of Creativity by Rasool Kordnoghabi, Saeed Veisi

“…The sample size was selected based on Kline model (2023) and with convenience sampling (online method), which led to the selection of 500 students. …”
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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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Exploring high-performance environmental barrier coatings for rare earth silicates: A combined approach of first principles calculations and machine learning by Yun Fan, Yuelei Bai, Zhiyao Lu, Zhaoxu Sun, Yuchen Liu, Simiao Sha, Yiran Li, Bin Liu

“…It is revealed the [O3SiOSiO3] structure and polyhedron distortion affect mechanical properties of RE2Si2O7, while criteria for selecting RE2Si2O7 with low thermal conductivity are identified, including complex crystal structures, chemical bond inhomogeneity, and strong non-harmonic lattice vibrations. …”
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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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Designing the outsourcing model in central government organizations by Mahnaz Moradi, Morteza Ghasemi, Maryam Majidi, Gholamreza Amjadi

“…These changes have led to increasing competition, complexity, dynamism and environmental uncertainty. …”
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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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Nurses’ Knowledge and Attitudes Regarding Artificial Intelligence Technology in Iraq by Islam Mohammed Khalil, Amean A Yasir

“…Objectives: Artificial intelligence (AI) can potentially improve the effectiveness, accuracy, and quality of nursing practice by reducing workload and freeing nurses to concentrate on complex decision-making and direct patient care. This study aimed to assess nurses’ attitudes toward and knowledge of AI technology. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Additionally, we can apply the discussed decision-making methodologies to resolve complex real-life applications, such as renewable energy, medical diagnosis, multi-robotic systems, social selections, and computational and environmental sciences.…”
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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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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The algorithms (RF and STR) with the smallest Mean Absolute Error (MAE) and the highest residual error (RMSE) and the highest correlation coefficient (RP2) were selected for further parameter optimization and evaluation. …”
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Modified Energy-Based Design Method of the Precast Partially Steel-Reinforced Concrete Beam–CFST Column Eccentrically Braced Frame by Fugui Hou, Weiguang Chong, Yu Lin, Xijun He, Guanglei Zhang

“…Current related design methods focus on the concrete and steel structures rather than on the complex composite structure. In addition, they tend to overlook the contribution of the energy-dissipation unit and its corresponding additional influence on the structure. …”
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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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A simple method for the estimation of minimum and maximum air temperature monthly mean maps using MODIS images in the region of Murcia, Spain by Alfonso Galdón-Ruíz, Guillermo Fuentes-Jaque, Jesús Soto, Luis Morales-Salinas

“…The results showed that the regression coefficients for the selected locations are strong for the correlations between minimum temperature with LSTnight (R2 = 0.69–0.82) and maximum temperature with LSTday (R2 = 0.70–0.87) at the 47 stations. …”
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Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow by S. Rinzin, S. Dunning, R. J. Carr, A. Sattar, M. Mergili

“…<p>Modelling complex mass flow processes, such as glacial lake outburst floods (GLOFs), for hazard and risk assessments requires extensive data and computational resources. …”
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