T cell-specific non-viral DNA delivery and in vivo CAR-T generation using targeted lipid nanoparticles by Jacek Lubelski, Eline van Diest, Ator Ashoti, Christina Zotou, Hanneke Rijssemus, Raymond Schiffelers, Zhiyong Lei, Maurits Geerlings, Jaime Fernández Bimbo, Daniel E Murphy, Martijn J W Evers, Suneel A Narayanavari, Diana Pereira Vaz, Nadine Saber, Peter Mayrhofer

“…NCtx represents a novel non-viral gene therapy vector for in vivo CAR-T therapy, offering a scalable and potentially more accessible alternative to traditional approaches in CAR-T cell generation.…”
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Correlation of compound muscle action potential generated by donor nerves with the recovery of elbow flexion in Oberlin transfer in brachial plexus injury by Mukund Ramchandra Thatte, Binita Bharat Raut, Amita Shivyogi Hiremath, Sushil Ramesh Nehete, Nayana Somala Nayak

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Politicians vs ChatGPT by Davide Garassino, Viviana Masia, Nicola Brocca, Alice Delorme Benites

“…Our results show that, on average, ChatGPT-generated texts contain more questionable presuppositions than the politicians’ texts. …”
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Gait instability is a more specific predictor of corticospinal tract function than gait speed in clinically stable multiple sclerosis by Furkan Bilek, Arthur R. Chaves, Oleksandr Fesenko, Michelle Ploughman

“…Abstract Multiple sclerosis (MS) research requires new, more sensitive, behavioral biomarkers that map to subtle central nervous system injury. …”
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Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders. by Zihao Ning, Xiao Han, Jie Pan

“…Additionally, the model successfully disentangles and separates various musical features, facilitating more accurate emotion-driven music generation and emotion transitions through feature manipulation.…”
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Monitoring fibrous scaffold guidance of three-dimensional collagen organisation using minimally-invasive second harmonic generation. by Robin M Delaine-Smith, Nicola H Green, Stephen J Matcher, Sheila MacNeil, Gwendolen C Reilly

“…Three-dimensional second harmonic generation images showed that deposited collagen was more uniformly distributed in random constructs but aligned constructs were more organised and had higher intensities. …”
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Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making by Nouri Hicham, Nassera Habbat

“…These datasets, primarily sourced from social media, reflect diverse investor perspectives. Generative AI models, like GPT-3.5 and GPT-4, are used to create more data, and the meaning of words is enhanced using techniques like BERT and Word2Vec. …”
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Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies by Julieth K Riveros, Paola A Saavedra, Héctor J Hortúa, Jorge Enrique García-Farieta, Ivan Olier

“…Next-generation galaxy surveys promise unprecedented precision in testing gravity at cosmological scales. …”
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The influence of hydroelectric power generation and water level variability on market clearing prices: A case study of Türkiye by Tamer Emre

“…The escalating effects of climate change on hydrological patterns and the increasing reliance on renewable energy necessitate more precise electricity price forecasting. This study investigates how hydroelectric power generation influences the Market Clearing Price (MCP) in Türkiye’s electricity market, with particular attention to seasonal variability and market structure.The core research question addresses whether fluctuations in water levels and hydroelectric output exert a statistically and economically significant impact on MCP formation. …”
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Green Power Generation by Microbial Fuel Cells Using Pharmaceutical Wastewater as Substrate and Electroactive Biofilms (Bacteria/Biocarbon) by Ivonne L. Alonso-Lemus, Carlos Cobos-Reyes, Mayra Figueroa-Torres, Beatriz Escobar-Morales, K. Kunhiraman Aruna, Prabhu Akash, Fabian Fernández-Luqueño, Javier Rodríguez-Varela

“…The polarization curves in the dual-chamber MFC showed that AB7-f+ B. subtilis bioanode can generate an open circuit voltage of 602 mV and a power density of 77 mW m−2. …”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…Firstly, microscopic images of WBCs are generated using the SRGAN to obtain more precise and high-resolution images, which are then classified with a pretrained VGG19 classifier. …”
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Current progress and remaining challenges of peptide–drug conjugates (PDCs): next generation of antibody-drug conjugates (ADCs)? by Dongyuan Wang, Feng Yin, Zigang Li, Yu Zhang, Chen Shi

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Efficient Generation of Induced Pluripotent Stem Cell-Derived Definitive Endoderm Cells with Growth Factors and Small Molecules by Faizal Z. Asumda, Shadia Alzoubi, Kiyasha Padarath, Nina John, Kimya Jones, Ravindra Kolhe, Ashis Kumar Mondal, Tae Jin Lee, Wenbo Zhi, Robert C. Huebert, Nathan P. Staff, Lindsey A. Kirkeby

“…In the first step of generating DE-derived tissue, either protocol can be utilized. …”
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MagicCraft: Natural Language-Driven Generation of Dynamic and Interactive 3D Objects for Commercial Metaverse Platforms by Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa

“…To address this challenge, we present MagicCraft, a system that generates functional 3D objects from natural language prompts for metaverse platforms. …”
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The Role of Next-Generation Sequencing (NGS) in the Relationship between the Intestinal Microbiome and Periprosthetic Joint Infections: A Perspective by Salvatore Gioitta Iachino, Federica Scaggiante, Claudia Mazzarisi, Christian Schaller

“…In addition, the gut microbiome may harbor antibiotic-resistance genes; during antibiotic treatment for other infections or prophylaxis, these genes may be transferred to pathogenic bacteria, making the treatment of PJI more difficult. In this complex landscape, next-generation sequencing (NGS) technology can play a key role; indeed, it has revolutionized the study of the microbiome, allowing for detailed and comprehensive analysis of microbial communities. …”
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A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Fourth, we define code generation templates to translate the graphical models into executable agent source code. …”
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Vehicle power supply management strategies by A. V. Puzakov

“…The target functions of the listed control strategies are considered.Results. …”
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Transmuted exponential-compound Weibull distribution for modelling of positively skewed data by Nnaemeka Martin Eze, Waheed Babatunde Yahya

“…Some fundamental mathematical and statistical properties associated with this new distribution, such as ordinary moments, moment generating function, mean, variance, quantile function, survival function, hazard function, Renyi entropy and order statistics were derived and presented in an explicit structure. …”
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Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate by Tiantian Luan, Mingxiao Sun, Guoqing Xia, Daidai Chen

“…The simulations of approximating a typical nonlinear function, identifying UCI datasets, and evaluating sortie generation capacity of an carrier aircraft show the effectiveness of VS-RBF.…”
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Hierarchical quantitative prediction of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertainty risk by Yinming Liu, Wengang Wang, Xiangyue Meng, Yuchen Zhang, Zhuyu Chen

“…According to the calculated risk value, a double-layer photovoltaic power generation cost planning model is constructed, the upper and lower objective functions of the model are determined, and the constraint conditions are designed; Obtain a cost planning objective function solution base on a matrix task prioritization method, and generating a prioritization table; Prediction of photovoltaic power generation depreciation expense based on long-short memory neural network for each solution in the sorting table. …”
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