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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The Effect of CEOs' Financial Knowledge on Unsystematic Risk, Considering the Moderating Effect of Managerial Ability by Bahram Ghanizadeh, Mohsen Dastgir, Afsaneh Soroushyar

“…With the emergence of economic globalization, expansion of business activities and more complex financial, administrative and operational structures, the need for firms to have CEOs with capable financial and managerial knowledge has multiplied more than in the past. …”
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Enhanced BDS four-frequency cycle slip detection and repair using fuzzy clustering analysis by Jinfeng Yuan, Xiaoning Su, Yuzhao Li

“…It is worth noting that during the repair process, the coefficients of the combined observation values are integers, preserving the integer cycle characteristic of the observation values, which allows cycle slips to be fixed directly, eliminating the need for complex searching procedures. …”
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Data and Knowledge Dual-Driven Creep Life Prediction for Austenitic Heat-Resistance Steel by Xiaochang Xie, Mutong Liu, Ping Yang, Zenan Yang, Chengbo Pan, Chenchong Wang, Xiaolu Wei

“…The artificial intelligence method can skip the complex mechanism and directly establish the mathematical correlation between the composition/process and the target performance. …”
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Managing technical risks caused by indirect interactions: insights from tracking the use of risk assessment tools by Iñigo Alonso Fernández, Massimo Panarotto, Ola Isaksson

“…Unintended technical interactions across system interfaces can lead to costly failures and rework, particularly in the early design stages of complex products. This study examines how structured risk assessment tools influence teams’ ability to identify, evaluate and mitigate risks from such indirect interactions. …”
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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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Advances in Surface-Enhanced Raman Spectroscopy for Therapeutic Drug Monitoring by Huasheng Lai, Xinlan Wang, Menghan Qi, Hao Huang, Bingqiong Yu

“…This review examines the latest advancements in SERS substrates and their applications in TDM, highlighting the innovations in substrate design that enhance detection sensitivity and selectivity. We discuss the challenges faced by SERS for TDM, such as substrate signal reproducibility and matrix interference from complex biological samples, and explore solutions like digital colloid-enhanced Raman spectroscopy, enrichment detection strategies, microfluidic SERS, tandem instrument technologies, and machine learning-enabled SERS. …”
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Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

“…Complex microscopic simulation models of strategic Air Traffic Management (ATM) performance assessment and decision-making are hindered by several factors. …”
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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

“…Despite their significance, existing QPP analysis tools are limited by study-specific parameters and complex workflows. To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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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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An Evaluation of the Sensitivity of a Source Term Estimation Methodology of Sensor Configuration in an Urban-like Environment by Panagiotis Gkirmpas, Fotios Barmpas, George Tsegas, George Efthimiou, Paul Tremper, Till Riedel, Christos Vlachokostas, Nicolas Moussiopoulos

“…Identifying unknown sources of air pollutants is vital for protecting public health, especially in cases involving the emission of toxic substances. The efficiency of this process depends highly on the accuracy of Source Term Estimation (STE) methods and the availability of robust measurements. …”
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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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Optimization and validation of bifenazate and bifenazate-diazene quantification in agricultural products using a reduction method by Deuk-Yeong Lee, Hee-Jin Jeong, Jong-Wook Song, Ji-Young An, Jong-Su Seo, Jong-Hwan Kim

“…The developed method was validated for selectivity, linearity (R 2 > 0.999), accuracy, and precision, meeting international regulatory guidelines. …”
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YOLOv8-TEA: Recognition Method of Tender Shoots of Tea Based on Instance Segmentation Algorithm by Wenbo Wang, Yidan Xi, Jinan Gu, Qiuyue Yang, Zhiyao Pan, Xinzhou Zhang, Gongyue Xu, Man Zhou

“…However, due to the diverse growth postures of tender shoots and complex growth environments in tea plants, traditional tea picking machines are unable to precisely select the tender shoots, and the picking of high-end and premium tea still relies on manual labor, resulting in low efficiency and high costs. …”
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An Interactive Human-in-the-Loop Framework for Skeleton-Based Posture Recognition in Model Education by Jing Shen, Ling Chen, Xiaotong He, Chuanlin Zuo, Xiangjun Li, Lin Dong

“…Recognized poses are used to retrieve matched examples from a reference library, allowing instructors to browse and select posture suggestions for learners. This semi-automated feedback loop enhances teaching interactivity and efficiency. …”
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

“…In the field of gaming artificial intelligence, selecting the appropriate machine learning approach is essential for improving decision-making and automation. …”
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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

“…By identifying the significant role of technology in advanced farming practices, we aim to create a solution that helps farmers make informed decisions about crop selections and agricultural practices. Utilizing data analytics and AI-driven insights enhances productivity and efficiency. …”
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Effectiveness of positive allosteric modulators of metabotropic glutamate receptor 2/3 (mGluR2/3) in animal models of schizophrenia by David Olivares-Berjaga, Albert Martínez-Pinteño, Natalia Rodríguez, Sergi Mas, Constanza Morén, Eduard Parellada, Patricia Gassó

“…Abstract Schizophrenia (SZ) is a deleterious brain disorder characterised by its heterogeneity and complex symptomatology consisting of positive, negative and cognitive deficits. …”
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