High-definition mapping of retroviral integration sites defines the fate of allogeneic T cells after donor lymphocyte infusion. by Claudia Cattoglio, Giulietta Maruggi, Cynthia Bartholomae, Nirav Malani, Danilo Pellin, Fabienne Cocchiarella, Zulma Magnani, Fabio Ciceri, Alessandro Ambrosi, Christof von Kalle, Frederic D Bushman, Chiara Bonini, Manfred Schmidt, Fulvio Mavilio, Alessandra Recchia

“…The infusion of donor lymphocytes transduced with a retroviral vector expressing the HSV-TK suicide gene in patients undergoing hematopoietic stem cell transplantation for leukemia/lymphoma promotes immune reconstitution and prevents infections and graft-versus-host disease. …”
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Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model by Ngoc Hung- Chu, Hoai Nam- Nguyen, Van Du- Nguyen, Dang Binh- Nguyen

“…The discontinuous chip evacuation process makes the cutting force signal strongly nonlinear and random, making it difficult to predict accurately. …”
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Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking by Wei Zhang, Sen Hu, Kaiyuan Qu

“…Then, GAKT-BF designs a question relationship extraction module and constructs a graph of correlations between questions and questions, uses graph attention neural network (GAT) to extract question vector representations, and finally predicts students’ next answers through long short-term memory (LSTM). …”
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PROPERTIES OF GROUPS G OF DOUBLE ERRORS AND ITS INVARIANTS IN BCH CODES by V. A. Lipnitskij, A. V. Serada

“…The group Г of the cyclical shift of vector component lies at the core of the theory. Under its action The error vectors are divided into disjoint Г-orbits with definite spectrum of syndromes. …”
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Green Nano-Biotechnology: A New Sustainable Paradigm to Control Dengue Infection by Tanzeel Zohra, Ali Talha Khalil, Faryal Saeed, Bushra Latif, Muhammad Salman, Aamer Ikram, Muhammad Ayaz, H. C. Ananda Murthy

“…Metal nanoparticles (NPs) synthesized by an eco-friendly process, through extracts of medicinal plants have indicated potential anti-dengue applications. …”
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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

“…This study proposes a method for generating benchmark functions tailored to single-objective continuous optimization problems with boundary constraints using predefined ELA feature vectors to guide their construction. The process begins with the creation of random decision variables and corresponding objective values, which are iteratively adjusted using the covariance matrix adaptation evolution strategy (CMA-ES) to ensure alignment with a target ELA feature vector within a specified tolerance. …”
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The Study of Biodesulfurization Activity in Recombinant E. coli Strain by Cloning the dsz Genes Involve in 4S Pathway by Jamshid Raheb

“…In this study the pVLT31 vector harboring dszABC genes was transferred into recombinant E. coli BL21 which contained the dszD gene previously. …”
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Human-machine collaboration: Ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice by Nicolas Sadoune, Ke Liu, Han Yan, Ludovic D. C. Jaubert, Nic Shannon, Lode Pollet

“…These results were obtained by a back-and-forth process which closely resembles a collaboration between human researchers and machines. …”
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Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents by S. Tasqeeruddin, Shaheen Sultana, Abdulrhman Alsayari

“…., Kernel Ridge Regression (KRR), nu-Support Vector Regression ( $$\:{\upnu\:}$$ -SVR), and Polynomial Regression (PR) for the purpose of forecasting the concentration (C) of a drug within a specified environment, relying on the coordinates (x and y). …”
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A Survey on Data Mining for Data-Driven Industrial Assets Maintenance by Eduardo Coronel, Benjamín Barán, Pedro Gardel

“…It examines 534 references from 1995 to 2023, along with three additional articles from 2024 on natural language processing and large language models in industrial maintenance. …”
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Weather Classification in West Java using Ensemble Learning on Meteorological Data by Cynthia Nur Azzahra, Yulison Herry Chrisnanto, Gunawan Abdillah

“…This study aims to improve classification accuracy by proposing a stacking classifier approach that combines Support Vector Machine (SVM) and Random Forest as base learners, with Logistic Regression serving as the meta-classifier. …”
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Detection of Agricultural Terraces Platforms Using Machine Learning from Orthophotos and LiDAR-Based Digital Terrain Model: A Case Study in Roya Valley of Southeast France by Michael Vincent Tubog, Karine Emsellem, Stephane Bouissou

“…This study aimed to develop a semi-automatic method for detecting and mapping terraced areas using LiDAR and orthophoto data from French repositories, processed with GIS and analyzed through a Support Vector Machine (SVM) classification algorithm. …”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…This paper presents an enhanced meta-review of artificial intelligence (AI) applications in serious games (SGs) for health, focusing on adaptation, personalisation, and real-time data processing to improve rehabilitation outcomes. A systematic review methodology, following PRISMA-ScR guidelines, was employed to analyse studies from 2017 to 2025, identifying the AI algorithms most frequently used to personalise gaming experiences, improve patient engagement, and increase treatment efficacy. …”
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A Unified Denoising Framework for Restoring the LiDAR Point Cloud Geometry of Reflective Targets by Tianpeng Xie, Jingguo Zhu, Chunxiao Wang, Feng Li, Zhe Meng

“…These challenges present substantial obstacles to point cloud processing and its applications. In this paper, we propose a Unified Denoising Framework (UDF) aimed at removing noise and restoring the geometry of reflective targets. …”
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The Great Arab Revolt, Palestine and a Phoenicianist Civilizing Mission: Transregional Debates in the Mexican Mahjar Press by Camila Pastor de Maria Campos

“…They ceased to be understood through an Ottoman history of coexistence of religious traditions in the Mashriq, resignified as a homogeneous people, vector of the imperialist project of European Zionism. …”
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Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

“…Concrete mix design requires specialized knowledge and techniques for characterization. However, this process is time-consuming, and the mechanical properties, such as strength, can vary due to factors like cement type, water content, aggregates, and curing time. …”
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Stabilization of bonding force during ultrasonic wire and ribbon bonding by Igor Petuhov

“…The bonding force during bonding is compensated in the same way, with the difference that the vector of force compensation changes – the force should increase with an increase in the deformation of the bonding wire. …”
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Integration and evaluation of magnetic stimulation in physiology setups. by Malte T Ahlers, Christoph T Block, Michael Winklhofer, Martin Greschner

“…Here, we present a solution based on a miniature vector magnetometer, a coil driver, and a calibration routine for the coil system to compensate for magnetic distortions in the setup. …”
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Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…The implementation involves constructing a vector space of therapist remarks, applying dimensionality reduction, clustering, and optimizing topic representations. …”
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A User-Centric Smart Library System: IoT-Driven Environmental Monitoring and ML-Based Optimization with Future Fog–Cloud Architecture by Sarkan Mammadov, Enver Kucukkulahli

“…Environmental factors—including air quality, sound, temperature, humidity, and lighting—were monitored using microcontrollers and image processing. User feedback was collected via surveys and incorporated into models trained using Logistic Regression, Decision Trees, Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNNs), Extreme Gradient Boosting (XGBoost), and Naive Bayes. …”
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