HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…The results show that the prediction accuracy and receiver operating characteristic AUC value fluctuate around 0.2%, indicating HyQ2’s robustness in noisy quantum environments. …”
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Enhancing Cross-Domain Remote Sensing Scene Classification by Multi-Source Subdomain Distribution Alignment Network by Yong Wang, Zhehao Shu, Yinzhi Feng, Rui Liu, Qiusheng Cao, Danping Li, Lei Wang

“…Finally, a dual-domain feature classifier is employed to make predictions by averaging the outputs from multiple classifiers. …”
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Assimilation of snow water equivalent from AMSR2 and IMS satellite data utilizing the local ensemble transform Kalman filter by J. Lee, M.-I. Lee, S. Tak, E. Seo, E. Seo, Y.-K. Lee

“…<p>Snow water equivalent (SWE), as one of the land initial or boundary conditions, plays a crucial role in global or regional energy and water balance, thereby exerting a considerable impact on seasonal and subseasonal-scale predictions owing to its enduring persistence over 1 to 2 months. …”
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The effect of lipid accumulation product and its interaction with other factors on hypertension risk in Chinese Han population: A cross-sectional study. by Jian Song, Yingying Zhao, Sumei Nie, Xue Chen, Xuesen Wu, Jing Mi

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Renal resistive index as an early predictor and discriminator of acute kidney injury in critically ill patients; A prospective observational cohort study. by Jelle L G Haitsma Mulier, Sander Rozemeijer, Jantine G Röttgering, Angelique M E Spoelstra-de Man, Paul W G Elbers, Pieter Roel Tuinman, Monique C de Waard, Heleen M Oudemans-van Straaten

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Functional analysis of African Xanthomonas oryzae pv. oryzae TALomes reveals a new susceptibility gene in bacterial leaf blight of rice. by Tuan T Tran, Alvaro L Pérez-Quintero, Issa Wonni, Sara C D Carpenter, Yanhua Yu, Li Wang, Jan E Leach, Valérie Verdier, Sébastien Cunnac, Adam J Bogdanove, Ralf Koebnik, Mathilde Hutin, Boris Szurek

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Integrated System of Microalgae Photobioreactor and Wine Fermenter: Growth Kinetics for Sustainable CO₂ Biocapture by María Carla Groff, Cecilia Fernández Puchol, Rocío Gil, Lina Paula Pedrozo, Santiago Albareti, Ana Belén Manzanares, Emilia Sánchez, Gustavo Scaglia

“…Mathematical models are crucial for predicting microalgal growth kinetics and thus assessing their potential as industrial CO₂ sequestration agents under controlled conditions. …”
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PRKDC regulates cGAMP to enhance immune response in lung cancer treatment by Zhanghao Huang, Zhanghao Huang, Zhanghao Huang, Runqi Huang, Runqi Huang, Runqi Huang, Jun Zhu, Jun Zhu, Youlang Zhou, Youlang Zhou, Jiahai Shi, Jiahai Shi

“…This study aimed to investigate the antitumor effects of 2’,3’-cGAMP in LUAD.MethodHerein, patients with LUAD were screened for prognostic biomarkers, which were then assessed for sensitivity to immunotherapy and chemotherapy utilizing the “TIDE” algorithm and CellMiner database. The results were validated using a mouse xenograft model. …”
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Construction and validation of renal cell carcinoma tumor cell differentiation-related prognostic classification (RCC-TCDC): an integrated bioinformatic analysis and clinical study by Yifan Liu, Keqin Dong, Yuntao Yao, Bingnan Lu, Lei Wang, Guo Ji, Haoyu Zhang, Zihui Zhao, Xinyue Yang, Runzhi Huang, Wang Zhou, Xiuwu Pan, Xingang Cui

“…In addition, we performed correlation analysis and Cmap algorithm for regulatory network establishment and candidate inhibitor prediction. …”
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Role of low-frequency integrase strand transfer inhibitor resistance mutations on virological outcomes in antiretroviral therapy-naïve individuals initiating second-generation inte... by Daniele Armenia, Greta Marchegiani, Daniele Spalletta, Luca Carioti, Alessandro Tavelli, Maria Concetta Bellocchi, Vincenzo Spagnuolo, Valentina Mazzotta, Eugenia Quiros-Roldan, Valeria Bono, Stefania Carrara, Sergio Lo Caputo, Antonella D’Arminio Monforte, Francesca Ceccherini-Silberstein, Stefano Rusconi, Maria Mercedes Santoro

“…Objectives: This study investigated the role of low-frequency integrase strand transfer inhibitor (INSTI) resistance mutations, detectable by next-generation sequencing (NGS), at predicting virological rebound (VR) among people with HIV (PWH) starting second-generation INSTI-based first-line regimens. …”
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Systematic elucidation of the effective constituents and potential mechanisms of Scrophulariae Radix against neoplasm based on LC-MS, network pharmacology, and molecular docking ap... by Shu-jie Yu, Xiao-bin Kong, Xin Jin, Meng-yi Shan, Gang Cheng, Pei-lu Wang, Wen-long Li, Pei-yuan Zhao, Yun-jie Sheng, Bing-qian He, Qi Shi, Hua-qiang Li, Qi-ming Zhao, Lu-ping Qin, Lu-ping Qin, Xiong-yu Meng, Xiong-yu Meng

“…As a result, the material–liquid ratio was significantly reduced from 100 g/mL to 32 g/mL, and the extraction efficiency was 1.332%, which was close to the predicted value of 1.346% in the response surface method, indicating that the algorithm model had a good fit. …”
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Exploring the Shared Genetic Characteristics of Peri-Implantitis and Osteoporosis: A Transcriptomic Analysis Perspective by Churen Zhang, Feixiang Wang, Jianguo Ke, Cuihong Lin, Xiaohua Zeng, Qiuyan Yang, Qiaoling Cai

“…Potential drugs related to the hub genes were predicted using the Genecards database. Finally, the CIBERSORT core algorithm was used to calculate immune cell infiltration levels. …”
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Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates. by Rodrigo Soares Ramos, Lalit Kumar, Farzin Shabani, Marcelo Coutinho Picanço

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Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma by Zhixin Sun, Jacqueline M. Godbe, Alexander Zheleznyak, Brad Manion, Junhao Hu, Julie L. Prior, Kathleen Duncan, Ulugbek S. Kamilov, Monica Shokeen

“…Notably, sex-based differences were identified: female mice showed greater bone loss near the hip joint at later stages, with significant HUmean reductions at days 25 (p = 0.008) and 32 (p = 0.002). …”
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Informatics-driven unsupervised learning of comorbidity clusters for COVID-19 reinfection risk: A finite mixture modeling approach by Grant B. Morgan, Andreas Stamatis, Chelsea C. Yager, Ali Boolani

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Changes in parasite traits, rather than intensity, affect the dynamics of infection under external perturbation. by Suma Ghosh, Matthew J Ferrari, Ashutosh K Pathak, Isabella M Cattadori

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Elementary Growth Modes provide a molecular description of cellular self-fabrication. by Daan H de Groot, Josephus Hulshof, Bas Teusink, Frank J Bruggeman, Robert Planqué

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Upper thermal limits differ among and within component species in a tritrophic host-parasitoid-hyperparasitoid system. by Salvatore J Agosta, Kanchan A Joshi, Karen M Kester

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Optimizing circadian drug infusion schedules towards personalized cancer chronotherapy. by Roger J W Hill, Pasquale F Innominato, Francis Lévi, Annabelle Ballesta

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Knowledge, Readiness, Willingness-to-Use, and Willingness-to-Pay for Telehealth in Nonlife-Threatening Emergency Department Visits by Vahé Heboyan, Phillip Coule, Davide Mariotti, Gianluca De Leo

“…While technology does not seem to be a barrier to telehealth, more educational initiatives to inform the public about telehealth are desirable. …”
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