Early diagnosis of streptococcus cristatus in blood culture-negative infective endocarditis by capture-based metagenomic next-generation sequencing: a case report by Dong Wang, Hui Wang, Dan Zhang, Xinsheng Yan

“…BackgroundInfective endocarditis (IE) is a life-threatening infectious cardiac condition characterized by therapeutic complexity and high mortality rates, for which precise pathogen identification is critical to guide accurate treatment. …”
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GPR Diffraction Separation by Incorporating Multilevel Wavelet Transform and Multiple Singular Spectrum Analysis by Haolin Wang, Honghua Wang, Zhiyang Hou, Fei Zhou

“…Numerical tests showcase that the biorthogonal wavelet basis function bior4.4 provides remarkably efficient GPR diffraction separation performance, and the number of clusters in the k-means clustering algorithm typically ranges from 9 to 15, accounting for the complexity of the wave components. …”
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Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…These experimental results demonstrate a significant improvement in balancing detection capabilities with real-time performance.…”
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Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Therefore, to help with patients' long-term assessment and treatment, an effective automatic detection system is required. Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Therefore, histologic imaging evaluations must detect breast cancer early. Traditional methods are time-consuming and limit pathologists’ skills. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QSVM employs quantum kernels to map data into a higher-dimensional Hilbert space, so that the model can detect complex patterns in MM drug resistance. qPCA reduces dimensionality without loss of important variance, and thus improves computation efficiency. …”
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Optimized fiducial marker placement using B‐spline surface modeling and graph theory for Cyberknife stereotactic body radiotherapy for superficial tumors by Jing Huang, Xianlong Xiong, Cheng Chen, Yuhan Li, Ruijie Wang, Zhitao Dai

“…To enhance the computational efficiency, a kd‐tree spatial indexing structure was integrated with graph theory, specifically the Bron–Kerbosch algorithm for maximal clique detection. …”
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Tip optofluidic immunoassay: Evaluating COVID-19 antibody protection with 1 μL fingertip blood by Xiaotian Tan, Yujuan Chai, Ruihan Li, Binmao Zhang, Hao Li, Jie Zhang, Tianen Zhu, Weishu Wu, Lixiang An, Shi Hu, Bin Yang, Li Wang, Zhenqiu Cao, Hongjiu Zhang, Peng Wang, Lingling Yu, Shan Yin, Xingyu Li, Fei Shao, Jianheng Huang, Jinze Li, Fan Yang, Chao Zhao, Jiajia Guo, Lin Zeng, Dong Liang, Zhengting Zou, Hairong Zheng, Xudong Fan, Liangzhi Xie, Yunlong Cao, Hui Yang

“…TOI achieves a broad dynamic range (3–4 orders of magnitude), high signal-to-noise ratio (∼10,000), and excellent sensitivity for immunoglobulin G (IgG) detection. A renovated version of the rapid in vitro inhibition assay (RIVIA) is incorporated to evaluate neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with greater speed and cost-efficiency. …”
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Smart Clove Oil Distillation System using IoT and Ultrasonic Sensors by Ihwana As'ad, Andi Muhammad Rahmatullah, Syahrul Mubarak Abdullah, Fahmi Fahmi, Hariani Ma'tang Pakka, Andiyan Andiyan

“…Furthermore, the modular container design promotes gravity-assisted separation, enhancing energy efficiency and reducing mechanical complexity. The remote monitoring feature allows users to access real-time data on fluid levels and system status, ensuring reliable operation with minimal manual supervision. …”
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Recent Advances in Black Silicon Surface Modification for Enhanced Light Trapping in Photodetectors by Abdulrahman Alsolami, Hadba Hussain, Radwan Noor, Nourah AlAdi, Nada Almalki, Abdulaziz Kurdi, Thamer Tabbakh, Adnan Zaman, Salman Alfihed, Jing Wang

“…We also explore the impact of BSi on the emerging applications in silicon (Si)-based photodetectors, showcasing their potential for pushing the boundaries of light-trapping efficiency. Throughout this review, we critically evaluate the trade-offs between fabrication complexity and performance enhancement, providing valuable insights for future development in this rapidly evolving field. …”
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A Robotic grinding station based on an industrial manipulator and vision system. by Guoyang Wan, Guofeng Wang, Yunsheng Fan

“…The measurements indicate that this system can work stably and efficiently, and the experimental results demonstrate the high accuracy and high efficiency of the proposed method. …”
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APPLICATION OF HYBRID MEMETIC ALGORITHM IN OPTIMAL CONTROL NONLINEAR STOCHASTIC SYSTEMS WITH INCOMPLETE FEEDBACK PROBLEMS by A. V. Panteleev, V. N. Panovskiy

“…Several alternative forms of parametrization are considered: in the form of expansion by Legendre polynomials system and in the form of cosine-waves. The efficiency of the proposed algorithms was analyzed by means of created software complex. …”
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Classification of pulmonary diseases from chest radiographs using deep transfer learning. by Muneeba Shamas, Huma Tauseef, Ashfaq Ahmad, Ali Raza, Yazeed Yasin Ghadi, Orken Mamyrbayev, Kymbat Momynzhanova, Tahani Jaser Alahmadi

“…In clinical practice, diagnosing pulmonary diseases using chest radiographs is challenging due to Overlapping and complex anatomical Structures, variability in radiographs, and their quality. …”
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Exploring the drivers of irregular spending in the EU cohesion policy by Francesco Foglia, Francesco Molica, Anabela M. Santos

“…Overall, the analysis finds that the more complex the programmes (e.g., in terms of number of priorities, multi-fund focus), the higher the risk of irregularities and the more difficult is for programme authorities to detect them. …”
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The Influence Mechanism of Dissolved Organic Matter on the Photocatalytic Oxidation of Pharmaceuticals and Personal Care Products by Jie Wang, Minyi Zhu, Anli Sun, Rongfang Yuan, Huilun Chen, Beihai Zhou

“…These findings provide novel insights into optimizing photocatalytic reaction conditions and enhancing treatment efficiency, while providing a theoretical foundation for advancing efficient, eco-friendly PPCPs remediation technologies.…”
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Advances in Bedload Monitoring Technologies in Mountain Rivers by Ming LUO, Xingnian LIU, Wanbing PENG, Xiaokang WU, Yimin HE, Er HUANG

“…These regions pose unique challenges due to high flow rates, complex sediment compositions, and rapidly changing environmental conditions. …”
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Chromosome-Level Genome Assembly and Comparative Transcriptome Analyses Identified Energy Conservation as a Key Strategy for Anadromous Adaptation of the Hilsa Shad, <i>Tenualosa i... by Kishor Kumar Sarker, Liang Lu, Roland Nathan Mandal, Md Rashedur Rahman, Anirban Sarker, Mohammad Abdul Baki, Chenhong Li

“…We detected 1298 and 252 differentially expressed transcripts between sea and freshwater in the liver and muscle of <i>T. ilisha</i>, respectively, reflecting habitat and organ-specific adaptations. …”
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Soft, Stretchable, High-Sensitivity, Multi-Walled Carbon Nanotube-Based Strain Sensor for Joint Healthcare by Zechen Guo, Xiaohe Hu, Yaqiong Chen, Yanwei Ma, Fuqun Zhao, Sheng Guo

“…As an assistive device, the accurate monitoring of the user’s joint signals and exoskeleton status using wearable sensors is essential to ensure the efficiency of conducting complex tasks in various scenarios. …”
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Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium by Arman Shamshitov, Egidija Satkevičiūtė, Francesca Decorosi, Carlo Viti, Skaidrė Supronienė

“…In this regard, microbial inoculation with efficient strains offers a viable and eco-friendly solution to accelerating the decomposition process of crop residues. …”
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Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

“…A “parallel tempering” scheme is introduced, which efficiently and reliably locates the global maximum in the complex multimodal distributions that are characteristic of cadmium telluride (CdTe) films. …”
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