Regulating microstructure, mechanical properties and corrosion resistance of laser direct energy deposited Al0.5Mn0.5CoCrFeNi high-entropy alloy by annealing heat treatment by Zhaoyang Liu, Tiannan Mai, Jiawei Liu, Tao Zou

“…A novel Al0.5Mn0.5CoCrFeNi high-entropy alloy (HEA) was additively manufactured by laser direct energy deposition (LDED) process and annealed at 900 ℃. …”
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An Ultra-Wideband Reference Frequency Chirp Generator Utilizing Fractional Frequency Divider With High Linearity by Bent Walther, Lukas Polzin, Marcel van Delden, Thomas Musch

“…For this reason, we present a novel architecture combining a fixed-integer phase-locked loop (PLL) with a fast-modulated frequency divider. …”
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Identification of Aberrantly Expressed miRNAs in Gastric Cancer by Dan Liu, Xiaowei Hu, Hongfeng Zhou, Guangyue Shi, Jin Wu

“…It is necessary to identify novel aberrantly expressed miRNAs in gastric cancer. …”
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A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar by Hong Liu, Xiufen Ye, Hanwen Zhou, Hanjie Huang

“…This paper presents a novel method for FLS and SSS fusion mapping. Firstly, a novel sonar image enhancement method based on equalization is proposed, enabling simultaneous enhancement and grayscale unification of two sonar images. …”
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Improving the Performance of Whale Optimization Algorithm through OpenCL-Based FPGA Accelerator by Qiangqiang Jiang, Yuanjun Guo, Zhile Yang, Zheng Wang, Dongsheng Yang, Xianyu Zhou

“…Whale optimization algorithm (WOA), known as a novel nature-inspired swarm optimization algorithm, demonstrates superiority in handling global continuous optimization problems. …”
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Comprehensive RNA-seq analysis of benign prostatic hyperplasia (BPH) in rats exposed to testosterone and estradiol by Xiao-Hu Tang, Zhi-Yan Liu, Jing-Wen Ren, Heng Zhang, Ye Tian, Jian-Xin Hu, Zhao-Lin Sun, Guang-Heng Luo

“…In conclusion, we built a novel T + E2-induced rat BPH model, and discovered potentially important genes, pathways, and miRNA-mRNA regulatory networks.…”
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Tackling Microbial Resistance and Emerging Pathogens with Next-Generation Antibiotics by Kar Jing Chong, Huang Feng, Vengadesh Letchumanan, Masita Arip, Omotayo Fatokun, Lazuardi Mochamad, Chin Tat Ng, Sasikala Chinnapan, Malarvili Selvaraja

“…Consequently, multiple initiatives have been undertaken to address these phenomena, including the development of antimicrobials with novel modes of action. Without novel discoveries of newer antimicrobial agents, we may face the risk of entering a post-antibiotic era where uncomplicated infections become untreatable. …”
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A new NCL-targeting aptamer-drug conjugate as a promising therapy against esophageal cancer by Xue Zheng, Ying Wang, Huaiyu Duan, Junqi Hou, Shiming He

“…Here, we designed and prepared a novel aptamer-conjugated drug targeting NCL by AS1411 aptamer-human serum albumin (HSA)-the apoprotein of lidamycin (LDP)-active enediyne chromophore (AE), in order to achieve targeted treatment of esophageal cancer. …”
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Challenging a Misnomer? The Role of Inflammatory Pathways in Inflammatory Breast Cancer by Riley J. Morrow, Nima Etemadi, Belinda Yeo, Matthias Ernst

“…While there are various novel treatment strategies already underway in clinical trials, the need for further development of preclinical models of this rare but aggressive disease is paramount.…”
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The Application of Advanced Bone Imaging Technologies in Sports Medicine by Samuel S. Tadros, Scott Epsley, Sameer Mehta, Brandon C. Jones, Hiran I. Rajapakse, Rashad Madi, Austin Alecxih, Daniel Kargilis, Chamith S. Rajapakse

“…Until recently, the evaluation of bone health and fracture risk through imaging has been limited to dual-energy X-ray absorptiometry (DXA) and plain radiographs, with a limited application in the athletic population. Several novel imaging technologies are now available for the clinical assessment of bone health, including bone injury risk and healing progression, with a potential for use in sports medicine. …”
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Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network by Xu Hu, Na Pang, Haibo Guo, Rui Wang, Fei Li, Guo Li

“…Therefore, we proposed a novel denoising method that integrates Particle Swarm Optimization (PSO) with Wavelet Neural Networks, enhanced by a dynamic compression factor and an adaptive adjustment strategy. …”
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Insights Into Genetic Variations of the OCT1 Gene in Metformin Poor Responders Among Bangladeshi Type 2 Diabetic Patients by Rokeya Begum, Arindita Das, Md. Jahangir Alam, Gazi Nurun Nahar Sultana

“…In this study, 29 mutations of the OCT1 gene were identified; among which 5 mutations (c.412-86G>T, c.970G>C, c.1386-3088_1386-3083delGAATCA, c.1498+66G>T, and c.1653C>A) were novel. It was found that nsSNPs c.181C>T, c.1022C>T, c.493G>T, c.1207A>G, and c.970G>C (novel) as well as frameshift deletions have potential deleterious effects on OCT1 protein stability and function. …”
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Development of a Finite Element Model for the HAZ Temperature Field in Longitudinal Welding of Pipeline Steel by Zhixing Wang, Chengjia Shang, Xuelin Wang

“…In this study, a novel hybrid heat source model was developed to simulate the welding temperature field in the heat-affected zone (HAZ) of X80 pipeline steel. …”
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New Insights into the PPARγ Agonists for the Treatment of Diabetic Nephropathy by Zhanjun Jia, Ying Sun, Guangrui Yang, Aihua Zhang, Songming Huang, Kristina Marie Heiney, Yue Zhang

“…Due to the higher selectivity of these novel PPARγ agonists on the regulation of the antidiabetes-associated genes than that of the side effect-associated genes, they present fewer adverse effects than TZDs. …”
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From musk to body odor: Decoding olfaction through genetic variation. by Bingjie Li, Marissa L Kamarck, Qianqian Peng, Fei-Ling Lim, Andreas Keller, Monique A M Smeets, Joel D Mainland, Sijia Wang

“…Second, we found two linked SNPs associated with the musk Galaxolide in a novel musk receptor, OR4D6, which is also the first human OR shown to drive specific anosmia to a musk compound. …”
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Synthesis of Polydopamine Functionalized Reduced Graphene Oxide-Palladium Nanocomposite for Laccase Based Biosensor by Da-Wei Li, Lei Luo, Peng-Fei Lv, Qing-Qing Wang, Ke-Yu Lu, An-Fang Wei, Qu-Fu Wei

“…The PDA-Lac-rGO-Pd nanocomposites were further modified on electrode surface to construct novel biosensing platform. The obtained electrochemical biosensor was applied in the detection of catechol, achieving excellent analytic results. …”
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Anion-Directed Assembly of a Bimetallic Pd/Ag Nanocluster: Synthesis, Characterization, and HER Activity by Yu-Rong Ni, Rugma Thekke Pangal, Michael N. Pillay, Tzu-Hao Chiu, Samia Kahlal, Jean-Yves Saillard, C. W. Liu

“…Our findings highlight the potential of anion-directed synthesis for creating novel bimetallic NCs with tailored structures and catalytic properties.…”
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Exploratory Network Meta Regression Analysis of Stroke Prevention in Atrial Fibrillation Fails to Identify Any Interactions with Treatment Effect. by Sarah Batson, Alex Sutton, Keith Abrams

“…There are a number of different stroke prevention treatments available to include warfarin and novel oral anticoagulants. Previous network meta-analyses of novel oral anticoagulants for stroke prevention in atrial fibrillation acknowledge the limitation of heterogeneity across the included trials but have not explored the impact of potentially important treatment modifying covariates.…”
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Analyzing Adherence to Prenatal Supplement: Does Pill Count Measure Up? by Kristie E. Appelgren, Paul J. Nietert, Thomas C. Hulsey, Bruce W. Hollis, Carol L. Wagner

“…Conclusions. Based on our novel definition of adherence, pill count was not a reliable predictor of adherence to protocol, and calls into question how adherence is measured in clinical research. …”
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A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…<h4>Conclusions</h4>We introduce a novel method for the development of DNAm-based predictors that combines the improved reliability conferred by training on principal components with advanced ensemble-based machine learning. …”
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