Generation of effective and specific human TCRs against tumor/testis antigen NY-ESO-1 in mice with humanized T cell recognition system by Xiaojing Tina Chen, Xiaojing Tina Chen, Matthias Leisegang, Matthias Leisegang, Ioannis Gavvovidis, Ioannis Gavvovidis, Seth M. Pollack, Felix K. M. Lorenz, Ton N. Schumacher, Ton N. Schumacher, Oliver Daumke, Thomas Blankenstein

“…TCR-ESO appeared to have similar efficiency in antigen recognition as an in vitro affinity-matured TCR, TCR 1G4-α95LY, which was applied in clinical trials. …”
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Design, spectroscopic analysis, DFT calculations, adsorption evaluation, molecular docking, comprehensive in silico and in vitro bioactivity studies of thiocarbohydrazide grafted d... by Magda A. Akl, Aya G. Mostafa, Abdelrahman S. El-Zeny, El-Sayed R. H. El-Gharkawy

“…The study highlights the potential of DAC@TCH for efficient recovery of heavy metals from different water sources, considering its application versatility, reusability, and minimal interference. …”
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FLAML version 2.3.3 model-based assessment of gross primary productivity at forest, grassland, and cropland ecosystem sites by J. Lai, J. Lai, Y. Zhang, A. Wang, W. Fei, Y. Diao, R. Li, J. Wu

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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…The integrated verification of neutron diffusion and transport programs underscores the reliability and flexibility of the FVM in accurately solving complex neutron transport and diffusion scenarios, providing a pathway for enhancing precision and computational efficiency in nuclear engineering simulations under a unified programming framework.…”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…The usual used single empirical orthogonal function (sEOF) method, which reconstructs sound speed profiles (SSP) by establishing statistical relationships between empirical orthogonal coefficients of SSP and sea surface environmental factors, may have several limitations: (1) The principal modes extracted by the EOF method may lose some sound speed information, resulting in low reconstruction accuracy; (2) The grid-by-grid inversion of SSP is computationally inefficient for acquiring large-scale 3D sound speed fields; (3) Oceanic dynamic activities cause disturbances in the sound speed field, and relying solely on sea surface environmental information can limit the accuracy of full-ocean-depth sound speed inversion.MethodIn this paper, we propose a region-oriented reconstruction model named 3dCNN-DEN for 3D sound speed fields using the Convolutional Neural Network (CNN). The model utilizes multi-source satellite remote sensing data and CMEMS temperature-salinity reanalysis data, simultaneously incorporating sea surface environmental factors (SST, SLA, and EKE) and underwater information (average density) as inputs. …”
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Characteristics and Causes of Extreme Heavy Rainfall in Heilongjiang Province During August 2023 by Qi Duo, Wang Chengwei, Bai Xuemei, Gong Yanduo, Sun Qi, Luan Chen, Tang Kai, Zhao Yujie

“…Due to the strong southwest jet, there is abundant moisture transfer, primarily through the advection of water vapor, which is the primary source for heavy rainfall. The process can be divided into two stages due to significant differences of rainfall, atmospheric stratification, and local circulation characteristics. …”
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Analysis and Optimization of Operating Modes of Mini-CHP on Local Fuels in Conditions of Surplus Electric Power Capacities in the Unified Energy System of Belarus. Part 1 by R. S. Ignatovich, V. A. Sednin, Ye. S. Zuyeva

“…The efficiency of energy storage and use technology is considered depending on the specific energy intensity for various electrical energy storage technologies. …”
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Cumulative live births and predictive factors of emergency oocyte cryopreservation: a retrospective cohort study by Zichuan Han, Tian Tian, Nan Zhang, Jiaxiang Wang, Jia Li, Lixue Chen, Wan Yang, Ping Liu, Rong Li, Jie Qiao, Rui Yang

“…Abstract Background Oocyte vitrification, a widely utilized assisted reproductive technology for fertility preservation, can address emergencies arising from the unavailability of sperm from the male partner on the day of oocyte retrieval. …”
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Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach by Zhilu Xu, Yun Kit Yeoh, Hein M. Tun, Na Fei, Jingwan Zhang, Mark Morrison, Michael A. Kamm, Jun Yu, Francis Ka Leung Chan, Siew C. Ng

“…One possible reason for the disagreement is the introduction of systemic biases due to differences in methodologies. In our study, we utilized microbial metagenomic data sets from 2,722 fecal samples generated from a single research center to examine the extent to which sample storage and DNA extraction influence the quantification of microbial composition and compared this variable with other sources of technical and biological variation. …”
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Evaluation of Indoor Power Performance of Emerging Photovoltaic Technology for IoT Device Application by Yerassyl Olzhabay, Ikenna Henry Idu, Muhammad Najwan Hamidi, Dahaman Ishak, Arjuna Marzuki, Annie Ng, Ikechi A. Ukaegbu

“…The rapid rise in the power conversion efficiency (PCE) of perovskite solar cells (PSCs) has opened the door for diverse potential applications in powering indoor Internet of Things (IoT) devices. …”
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Nose-to-brain delivery of targeted lipid nanoparticles as two-pronged β-amyloid nanoscavenger for Alzheimer's disease therapy by Yanyan Xu, Xiangtong Ye, Yanfeng Du, Wenqin Yang, Fan Tong, Wei Li, Qianqian Huang, Yongke Chen, Hanmei Li, Huile Gao, Weiwei Zhang

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AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

“…The results showed that, compared to the baseline, the carbon peak under the Economic Development Scenario will be delayed by three years, with an additional 92.74 Mt CO2; while under the Environmental Protection and Energy Transition Scenarios, the peak will be advanced by five and three years, with 106.48 and 73.86 Mt CO2 reductions, respectively. Leveraging multi-source data-driven AI models, this study efficiently provided reliable quantitative support for measuring policies with various priorities, emphasizing the necessity of implementing balanced energy transition strategies. …”
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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

“…This approach prioritizes both biological relevance and efficiency in machine learning. We employed Combination Annotation Dependent Depletion scores and allele frequencies to identify variants with pathogenic characteristics in CVD patients. …”
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Air-gap membrane distillation to desalinate seawater and hypersaline-produced water by Prashan M. Rodrigo, Sana Fatima, Raghava R. Kommalapati, Shankararaman Chellam

“…It achieves this by effectively desalinating seawater and treating complex-produced water from the oil and gas sector. AGMD utilizes a thermal gradient to transport water vapor across a hydrophobic membrane, while an air gap improves separation efficiency by minimizing conductive heat loss. …”
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Engineering n-Type and p-Type BiOI Nanosheets: Influence of Mannitol on Semiconductor Behavior and Photocatalytic Activity by Shuo Yang, Wenhui Li, Kaiyue Li, Ping Huang, Yuquan Zhuo, Keyan Liu, Ziwen Yang, Donglai Han

“…Photocatalytic technology holds significant promise for sustainable development and environmental protection due to its ability to utilize renewable energy sources and degrade pollutants efficiently. …”
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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT by Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke

“…In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. …”
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varVAMP: degenerate primer design for tiled full genome sequencing and qPCR by Jonas Fuchs, Johanna Kleine, Mathias Schemmerer, Julian Kreibich, Wolfgang Maier, Namuun Battur, Thomas Krannich, Somayyeh Sedaghatjoo, Lena Jaki, Anastasija Maks, Christina Boehm, Carina Wilhelm, Jessica Schulze, Christin Mache, Elischa Berger, Jessica Panajotov, Lisa Arnold, Björn Grüning, Markus Bauswein, Sindy Böttcher, Reimar Johne, Jürgen Wenzel, Martin Hölzer, Marcus Panning

“…Importantly, we also designed primers on the same input data using the software packages PrimalScheme and Olivar and showed that varVAMP minimizes primer mismatches most efficiently. Finally, we established highly sensitive and specific Poliovirus qPCR assays that could potentially simplify current Poliovirus surveillance. varVAMP is open-source and available through PyPI, UseGalaxy, Bioconda, and https://github.com/jonas-fuchs/varVAMP .…”
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The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer by Qiujun He, Xiangxing Kong, Xiangxi Meng, Xiuling Shen, Nan Li

“…Logistic regression analysis was employed to build models based on clinical and PET/CT routine parameters. The open-source software Python (version 3.7.11) was utilized to process the regions of interest (ROI) delineated by ITK-SNAP, extracting radiomic features. …”
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Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

“…Hoping our findings will serve as a useful reference for guiding further research and fostering the effective application of AI in healthcare.MethodsThe Web of Science Core Collection database was utilized as the source. All relevant publications from inception to August 2024 were retrieved. …”
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Efficacy of Indigenous Bacteria in the Biodegradation of Hydrocarbons Isolated from Agricultural Soils in Huamachuco, Peru by Claudio Quiñones-Cerna, Alina Castañeda-Aspajo, Marycielo Tirado-Gutierrez, David Salirrosas-Fernández, Juan Carlos Rodríguez-Soto, José Alfredo Cruz-Monzón, Fernando Hurtado-Butrón, Wilmer Ugarte-López, Mayra Gutiérrez-Araujo, Medardo Alberto Quezada-Alvarez, Julieta Alessandra Gálvez-Rivera, Mario Esparza-Mantilla

“…The results showed <i>Pseudomonas protegens</i> (PROM2) achieved the highest efficiency in removing total hydrocarbons (91.5 ± 0.7%). …”
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