Implementation of a Laboratory-Developed Test for the Diagnosis of <i>Mycoplasma pneumoniae</i> Using a High-Throughput Approach by Valeria Conciatori, Sarah Di Sopra, Elisa Franchin, Ioannis Bekas, Giuseppe Di Pietra, Ignazio Castagliuolo, Cristiano Salata, Claudia Del Vecchio

“…Conventional methods for detecting <i>M. pneumoniae</i>, such as culture and serology, exhibit several limitations regarding sensitivity, specificity, and turnaround time. …”
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Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…These make fault diagnosis difficult and can result in disastrous failures if not detected. Traditional diagnostic methods are expert judgment-based and pre-threshold-based and, therefore, less efficient when dealing with vast industrial processes. …”
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Amperometric Formaldehyde Sensor Based on a Pd Nanocrystal Modified C/Co2P Electrode by Huan Wang, Yaodan Chi, Xiaohong Gao, Sa Lv, Xuefeng Chu, Chao Wang, Lu Zhou, Xiaotian Yang

“…Ultrafine Pd nanocrystals were grown on the cobalt phosphide (Co2P) decorated Vulcan XC-72 carbon (C/Co2P), which is realized by first implementing the corresponding metal precursor and then the further chemical reduction process. The as-synthesized C/Co2P/Pd composite was further constructed to form a gas permeable electrode. …”
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Optimization and Analysis of Sensitive Areas for Look-Ahead Electromagnetic Logging-While-Drilling Based on Geometric Factors by Guoyu Li, Zhenguan Wu, Xiaoqiao Liao, Xizhou Yue, Xiang Zhang, Tianlin Liu, Yunxin Zeng

“…As a new LWD technology, look-ahead EMLWD enables real-time identification of formation structures, fluid distributions, and interface positions ahead of the drill bit during the drilling process by leveraging the propagation characteristics of EM. …”
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Atmospheric Modulation Transfer Function Calculation and Error Evaluation for the Panchromatic Band of the Gaofen-2 Satellite by Zhengqiang Li, Mingjun Liang, Yan Ma, Yang Zheng, Zhaozhou Li, Zhenting Chen

“…A relatively optimal MTF calculation process is proposed, which employs the Gaussian fitting method for edge detection, the adaptive oversampling rate, and the Lanczos (a = 3) interpolation method, minimizing the absolute deviation in the MTF results. …”
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Europium-labelled nanopolystyrene as model nanoplastics for environmental fate investigations: Synthesis and optimisation by Rega Permana, Swati Sharma, Christopher Stark, David Price, Christian Pfrang, Eugenia Valsami-Jones

“…Their biomolecule-like composition, primarily composed of carbon and hydrogen, complicates detection using conventional analytical methods. To overcome this challenge, a tracer-doped plastic matrix was developed to enable rapid and precise detection, tracking, and analysis of NPLs. …”
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Effects of Inbreeding on Genetic Characteristic, Growth, Survival Rates, and Immune Responses of a New Inbred Line of Exopalaemon carinicauda by Jiajia Wang, Jitao Li, Qianqian Ge, Zhao Chen, Jian Li

“…Trends in heterozygosity in the process of producing EC4 inbred line were examined through the characterization of polymorphisms based on gene frequencies of SNP and EST-SSR loci. …”
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Study on the influence of blasting on the structural stability of newly-built and adjacent tunnels by Zi-qiang Li, Jia-shuai Zhang, Gui-quan Ma, Ze-lin Zhou, Sheng-peng Pu, Ceng Zeng

“…Overbreak and underbreak distribution data were acquired through self-developed blasthole detection devices and laser profile scanners. Using numerical models constructed with LS-DYNA and ANSYS, this study systematically analyzed the dynamic response characteristics of the blasting process of the newly-built tunnel and its effect on the structural stability of adjacent tunnels. …”
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Tailoring Super‐Performed Chemo‐Sensor via Simulation‐Modeling and MEMS‐Screening by Wei Xu, Wukun Zhang, Zhengqi Shen, Wenxing Xu, Jianhao Zhao, Huizi Li, Qingguo He, Yanyan Fu, Jiangong Cheng

“…Abstract Chemo‐sensor designing involves a time‐consuming trial‐and‐error screening process, which commonly cannot lead to optimal S4R features (Sensitivity, Selectivity, Speed, Stability, and Reversibility). …”
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Design and Optimization of Intelligent High-Altitude Operation Safety System Based on Sensor Fusion by Bohan Liu, Tao Gong, Tianhua Lei, Yuxin Zhu, Yijun Huang, Kai Tang, Qingsong Zhou

“…By fusing five modes, it realizes the functions of safety status detection and precise positioning. It can provide precise geographical coordinate positioning and vertical ground distance for the workers, ensuring the safety and standardization of the operation process. …”
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QuEChERS combined with ultra-high performance liquid chromatography-tandem mass spectrometry to determine acrylamide in Xinjiang Naan products by XU Man, SONG Shaolong, HU Jun, SHI Haiyun, LIU Jian

“…The separation was performed using ACQUITY UPLC HSS T3 (100 mm×2.1 mm, 1.8 µm) column, with a mobile phase of water-methanol, in electrospray ionization positive ion mode and multi-reaction monitoring mode.ResultsThe method demonstrated a strong linear relationship for acrylamide detection within the range of 1.0~100 ng/mL (R2>0.999 1), with detection and quantitation limits of 0.25 µg/kg and 0.82 µg/kg, respectively. …”
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A Versatile, Machine-Learning-Enhanced RF Spectral Sensor for Developing a Trunk Hydration Monitoring System in Smart Agriculture by Oumaima Afif, Leonardo Franceschelli, Eleonora Iaccheri, Simone Trovarello, Alessandra Di Florio Di Renzo, Luigi Ragni, Alessandra Costanzo, Marco Tartagni

“…These S-parameters are then processed using ML techniques to automate the monitoring process, enabling real-time and predictive analysis of moisture levels.…”
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Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF) by Daniel Lafontaine, Stephanie Chahwan, Gustavo Barraza, Burcin Agridag Ucpinar, Gunjan Kayal, Nicolás Gómez-Banoy, Paul Cohen, John L. Humm, Heiko Schöder

“…The introduction of machine learning algorithms, such as the PET/CT algorithm implemented in the TriDFusion (3DF) Image Viewer, represents a significant advancement in BAT detection. In the context of cancer care, artificial intelligence (AI)-driven BAT detection holds immense promise for rapid and automatic differentiation between malignant lesions and non-malignant BAT confounds. …”
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Exploiting Temporal Variability in TCP Timestamps for Covert Channel Design by Silvio R. A. O. Filho, Claudio A. S. Lelis, Eric T. E. Soares, Cesar A. C. Marcondes

“…Cryptographic techniques are widely used to protect communication; however, in scenarios where the mere detection of communication poses a risk, encryption alone is insufficient. …”
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Epidemiology, literacy, risk factors, and clinical status of oral cancer in East Africa: A scoping review. by Kafayat Aminu, Timothy Olukunle Aladelusi, Akinyele Olumuyiwa Adisa, Chiamaka Norah Ezeagu, Afeez Abolarinwa Salami, Jacob Njideka Nwafor, Peace Uwambaye, Jimoh Amzat, Julienne Murererehe, Semeeh Akinwale Omoleke, Mohammed Abdulaziz, Ruwan Duminda Jayasinghe, Kehinde Kazeem Kanmodi

“…Additionally, we ensured quality assessment of the methodology and reporting process of this study using the AMSTAR 2 checklist. …”
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Temporal and Spatial Evolution Mechanisms of the Water-Conducting Fractured Zone of Overlying Strata in the Kongzhuang Coal Mine by Zhang Pei-ding, Sun Chao-shang, Fan Xuan, Li Song-tao, Wang Long-jing, Cao Zheng-zheng

“…The research achievements in this paper indicate that the water-conducting channel formed in the mining process of #7 coal seam is the most important water-filling channel. …”
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Toxicity Response and Swimming Speed Regularity in <i>Daphnia magna</i> After Short-Term Exposure to Diuron by Feihu Qin, Nanjing Zhao, Gaofang Yin, Yunfei Luo, Tingting Gan

“…The agricultural production process contributes to the global issue of pesticide pollution. …”
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Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment by C. Labesh Kumar, Suresh Betam, Denis Pustokhin, E. Laxmi Lydia, Kanchan Bala, Rajanikanth Aluvalu, Bhawani Sankar Panigrahi

“…For the DDoS attack classification process, the attention mechanism with convolutional neural network and bidirectional gated recurrent units (CNN-BiGRU-AM) is employed. …”
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Tumor ViT-GRU-XAI: Advanced Brain Tumor Diagnosis Framework: Vision Transformer and GRU Integration for Improved MRI Analysis: A Case Study of Egypt by Mohammed Aly, Abdullatif Ghallab, Islam S. Fathi

“…Brain tumors, marked by unchecked cell proliferation within the central nervous system, present substantial challenges for accurate diagnosis and effective treatment. Early and precise detection is crucial for successful intervention. This study presents an innovative framework aimed at enhancing the detection and classification of brain tumor characteristics in Magnetic Resonance Imaging (MRI) scans. …”
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The Error Estimation of Transverse Coronal Loop Oscillation Parameters Based on Least Chi-squares Fitting by Hongbo Li, Hengqiang Feng, Zhanjun Tian, Qiangwei Cai, Guoqing Zhao, Yan Zhao

“…However, due to the highly nonlinear nature of the fitting process, there is no established theory to provide the exact error of the fitted parameters. …”
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