Ribosome pausing in amylase producing Bacillus subtilis during long fermentation by Yaozu Han, Biwen Wang, Alberto Agnolin, Gaurav Dugar, Frans van der Kloet, Christopher Sauer, Paul Igor Costea, Max Fabian Felle, Mathis Appelbaum, Leendert W. Hamoen

“…The detailed information of ribosome pausing sites in amyM provide novel information that can be used in future codon optimization studies aimed at improving the production of this amylase by B. subtilis.…”
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Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

“…Unlike correlations, causal relationships demonstrate directional and often unequal influences, highlighting Mg as a critical driver of TDS levels. This novel application of ML-based causal inference in water quality research provides a cost-effective and time-efficient alternative to traditional experimental methods. …”
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An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas, Arshad Ali, Faizan Rashid, Naveed Ashraf, Zohaib Mushtaq, Muhammad Zubair

“…In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex search algorithm (SSA). …”
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Audio-visual event localization with dual temporal-aware scene understanding and image-text knowledge bridging by Pufen Zhang, Jiaxiang Wang, Meng Wan, Song Zhang, Jie Jing, Lianhong Ding, Peng Shi

“…To address these challenges, a novel Dual Temporal-aware scene understanding and image-text Knowledge Bridging (DTKB) model is proposed in this paper. …”
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Hybrid Offset Position Encoding for Large-Scale Point Cloud Semantic Segmentation by Yu Xiao, Hui Wu, Yisheng Chen, Chongcheng Chen, Ruihai Dong, Ding Lin

“…To address these issues, this paper summarizes the advantages and disadvantages of mainstream position embedding methods and proposes a novel Hybrid Offset Position Encoding (HOPE) module. …”
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Overcoming barriers for investigating nickel-pincer nucleotide cofactor-related enzymes by Jorge L. Nevarez, Aiko Turmo, Santhosh Gatreddi, Swati Gupta, Jian Hu, Robert P. Hausinger

“…Such additional detailed characterization will deepen our understanding of the diverse chemistry catalyzed by the NPN cofactor and potentially uncover novel roles for this organometallic species in microbial metabolism.…”
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Aggressively scaled T-Gated GaN-on-silicon RF power HEMT featuring step graded SRL-AlGaN buffer for next generation broad band power amplifiers by A Akshaykranth, J Ajayan, Sandip Bhattacharya, D Nirmal, Santhosh Paramasivam, Gianluca Gatto, Amit Kumar

“…In this work, the RF power performance of T-gate with novel step graded strain relief layered GaNHEMT analyzed on Si (Silicon) wafer by Silvaco simulation TCAD tool. …”
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The Physics Case for an Electron-Muon Collider by Meng Lu, Andrew Michael Levin, Congqiao Li, Antonios Agapitos, Qiang Li, Fanqiang Meng, Sitian Qian, Jie Xiao, Tianyi Yang

“…An electron-muon collider with an asymmetric collision profile targeting multi-ab-1 integrated luminosity is proposed. This novel collider, operating at collision energies of, e.g., 20–200 GeV, 50–1000 GeV, and 100–3000 GeV, would be able to probe charged lepton flavor violation and measure Higgs boson properties precisely. …”
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Tanshinlactone triggers methuosis in breast cancer cells via NRF2 activation by Wanjun Lin, Zifeng Huang, Xuening Zhang, Dayuan Zheng, Yanchao Yang, Meina Shi, Dongfang Yang, Tong Chu, Wenzhe Ma

“…Additionally, tanshinlactone demonstrated effectiveness against lapatinib-resistant breast cancer cells, suggesting its potential as a therapeutic agent for overcoming drug resistance in cancer treatment.ConclusionTanshinlactone as a novel therapeutic agent, is capable of selectively inhibiting ER+ and HER2+/EGFR + breast tumors through a unique mechanism of inducing catastrophic macropinocytosis. …”
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Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm by Roos J. Jutten, Daniel Soberanes, Cassidy P. Molinare, Stephanie Hsieh, Michelle E. Farrell, Aaron S. Schultz, Dorene M. Rentz, Gad A. Marshall, Keith A. Johnson, Reisa A. Sperling, Rebecca E. Amariglio, Kathryn V. Papp

“…Our results suggest that diminished MDLCs track with advanced AD pathophysiology, and demonstrate how a digital multi-day learning paradigm can provide novel insights about cognitive decline during preclinical AD.…”
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Economic Spectrofluorometric Bioanalysis of Empagliflozin in Rats’ Plasma by Bassam Ayoub, Noha El Zahar, Haidy Michel, Mariam Tadros

“…Moreover, with the suitable modifications, the described novel extraction of empagliflozin could be adopted to human plasma samples and future clinical studies. …”
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Free Cholesterol‐Induced Liver Injury in Non‐Alcoholic Fatty Liver Disease: Mechanisms and a Therapeutic Intervention Using Dihydrotanshinone I by Jia‐Wen Shou, Juncai Ma, Xuchu Wang, Xiao‐Xiao Li, Shu‐Cheng Chen, Byung‐Ho Kang, Pang‐Chui Shaw

“…Here, we investigate the specific mechanism by which FC induces liver injury in NAFLD and propose a novel therapeutic approach using dihydrotanshinone I (DhT). …”
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Photocatalytic Degradation of E.Coli Bacteria by Graphitic Carbon Nitride Photocatalysts under Visible Light Irradiation by Zahra Ahmadi Panah, Reyhaneh Dehghan, Mehran Bijari, Afsaneh Shahbazi

“…Photocatalytic technology offers novel solutions for wastewater treatment using visible light. …”
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Hepatoid adenocarcinoma of the stomach with ideal response to neoadjuvant chemo-immunotherapy: a case report by Linchuan Li, Linchuan Li, Dexu Zhang, Jiankang Zhu, Jiankang Zhu, Guangyong Zhang, Guangyong Zhang

“…This is the first report of chemotherapy combined with sintilimab in the treatment of gastric hepatoid adenocarcinoma, which may provide novel insights into the therapeutic strategy for HAS.…”
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DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention by Zheng Chen, Quan Qian

“…To address these challenges, we propose a novel framework, Dynamic Graph Learning with Spatial–Temporal Fusion Attention (DGL-STFA), which transforms health indicator time-series data into time-evolving graph representations. …”
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Insulin Resistance Markers to Detect Nonalcoholic Fatty Liver Disease in a Male Hispanic Population by Maritza Pérez-Mayorga, Jose P. Lopez-Lopez, Maria A. Chacon-Manosalva, Maria G Castillo, Johanna Otero, Daniel Martinez-Bello, Diego Gomez-Arbelaez, Daniel D. Cohen, Patricio Lopez-Jaramillo

“…Conclusion. Our study shows that novel and lower-cost markers of IR are useful for detecting NALFD, with a performance comparable to the HOMA-IR index. …”
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Dynamic displacement measurement of a wind turbine tower using accelerometers: tilt error compensation and validation by C. Jonscher, P. Helming, D. Märtins, A. Fischer, D. Bonilla, B. Hofmeister, T. Grießmann, R. Rolfes

“…The standard solution is to explicitly measure the tilt angle, which requires an additional sensor for each measurement point and is not applicable for already recorded measurements without tilt information. Therefore, a novel tilt error compensation method is presented by using the static bending line. …”
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Prognostic Relevance and Function of MSX2 in Colorectal Cancer by Jiancheng Liu, Huaying An, Wei Yuan, Qiang Feng, Lianzhen Chen, Jie Ma

“…In conclusion, MSX2 played a crucial role in the progression of CRC and may be a potential novel prognostic factor and therapeutic target for CRC therapy. …”
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Effect of miR-1285-3p as a diagnostic biomarker for chronic heart failure on vascular endothelial cells by Chongyang Zhang, Jiazhen He, Dan Xiong, Yi Mei, Yao Zhu, Pan Deng, Yang Duan

“…The purpose of this study was to evaluate the clinical significance of miR-1285-3p in CHF patients, with the aim of identifying a novel and effective biomarker for CHF. At the same time, we investigated the effect of miR-1285-3p on vascular endothelial cells. …”
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Micro-Expression Recognition Using Convolutional Variational Attention Transformer (ConVAT) With Multihead Attention Mechanism by Hafiz Khizer Bin Talib, Kaiwei Xu, Yanlong Cao, Yuan Ping Xu, Zhijie Xu, Muhammad Zaman, Adnan Akhunzada

“…To address these limitations, we propose the Convolutional Variational Attention Transformer (ConVAT), a novel model that leverages a multi-head attention mechanism integrated with convolutional networks, optimized specifically for detailed micro-expression analysis. …”
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