Development of a Quadruplex RT-qPCR Assay for Rapid Detection and Differentiation of PRRSV-2 and Its Predominant Genetic Sublineages in China by Guishan Ye, Siyu Xiong, Zhipeng Su, Guosheng Chen, Siyuan Liu, Zixuan Wang, Huanchun Chen, Anding Zhang

“…Positive samples selected for sequencing were further confirmed using ORF5-based phylogenetic analysis and NSP2 deletion pattern comparison, which aligned with RT-qPCR detection results. …”
Get full text

Enhanced Regular Perturbation-Based Nonlinearity Compensation Technique for Optical Transmission Systems by O. S. Sunish Kumar, Abdelkerim Amari, Octavia A. Dobre, Ramachandran Venkatesan

Get full text

Parameters of maize hybrids developed for the conditions of insufficient and unstable humidit by G. Ya. Krivosheev, A. S. Ignatiev

Get full text

Increasing the wear resistance of plunger pairs of high-pressure fuel pumps using extreme pressure additives by D.D. Marchenko, K.S. Matvyeyeva, V.M. Kurepin

“…At the same time, the development and use of this type of additives in energy facilities of the agro-industrial complex is very difficult due to their relative high cost, and the lack of a complete scientific study of the problem does not contribute to the widespread use of extreme pressure additives in agricultural tractor engines. …”
Get full text

Key geological and engineering technologies and research directions for shale gas exploration and development in western Hubei Province, China by Guangyou Zhu, Jineng Jin, Qilin Xiao, Lei Wang, Guanglong Sheng, Jun Tang, Jianghui Meng, Zhiyuan Lu, Can Chen

“…For seismic data interpretation, pre-stack elastic inversion and azimuthal anisotropy inversion can be employed as core techniques, overcoming the limitation of individual post-stack attributes in typically detecting only major faults. Furthermore, the inversion boundaries are constrained using log-seismic joint quality control and geomechanical simulation, contributing to enhanced reliability of sweet spot evaluation and efficient exploration in areas with complex structures. …”
Get full text

Deep Learning-Based Detection of Separated Root Canal Instruments in Panoramic Radiographs Using a U²-Net Architecture by Nildem İnönü, Umut Aksoy, Dilan Kırmızı, Seçil Aksoy, Nurullah Akkaya, Kaan Orhan

“…<b>Background:</b> Separated endodontic instruments are a significant complication in root canal treatment, affecting disinfection and long-term prognosis. Their detection on panoramic radiographs is challenging, particularly in complex anatomy or for less experienced clinicians. …”
Get full text

Research Progress on Anti-floating Design of Underground Structures by WANG Sheng-li, DONG Shu-qing, HUANG Yu, SONG Zhi-han, WU Tong, ZHENG Shan-suo

“…Considering seepage effects, nine water buoyancy calculation models for different aquiclude structures were established based on Darcy’s law and seepage equilibrium equations, providing theoretical support for buoyancy calculations under complex geological conditions. (2) Researchers worldwide have derived buoyancy reduction coefficients for specific conditions through theoretical analysis, numerical simulation, and model box testing. …”
Get full text

Inappropriate medication prescribing, polypharmacy, potential drug-drug interactions and medication regimen complexity in older adults attending three referral hospitals in Asmara,... by Nuru Abdu, Saleh Idrisnur, Hanae Said, Lude Kifle, Natnael Habte, Semira Ghirmai, Tomas Tewelde, Senai Mihreteab Siele, Eyasu H. Tesfamariam

“…This study aimed to assess inappropriate prescribing practices, polypharmacy, medication regimen complexity, and their determinants in older adults. …”
Get full text

Automated Coronary Artery Identification in CT Angiography: A Deep Learning Approach Using Bounding Boxes by Marin Sakamoto, Takaaki Yoshimura, Hiroyuki Sugimori

“…The evaluation metrics included Average Precision (AP), Intersection over Union (IoU), Dice Similarity Coefficient (DSC), and Mean Absolute Error (MAE) to achieve both detection accuracy and spatial localization precision. …”
Get full text

Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…The model complexity arising from hyperparameter configurations was appraised based on the Bayesian information criterion and the Akaike information criterion. …”
Get full text

Third Ventricle Width Measurements Based on YOLO and Localized Intensity Features by Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue

“…Firstly, to solve the problem of third ventricle detection in the complex background of TCS images, the YOLO-TV improvement model is proposed to improve the detection accuracy. …”
Get full text

FAULT DIAGNOSIS OF PLANETARY GEAR TRANSMISSION SYSTEM BASED ON VIBRATION RELEVANT INFORMATION FUSION by ZHAO XiaoQing, XU Yu Xiu, LIANG XiaoYu, YANG WenPing, WEN BangChun

“…In addition,the fault diagnosis model was inspected with 14 groups of signals to be detected,and the results were exactly consistent with the actual fault states. …”
Get full text

Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

Get full text

The Issue of Hydrodynamic Friction in the Context of the Operational Properties of Ring-Shaped Torsional Vibration Dampers by Aleksander Mazurkow, Andrzej Chmielowiec, Wojciech Homik

“…Improving the reliability and durability of internal combustion engines in marine vessels is a complex issue. The vibrations generated in these engines significantly affect their proper operation. …”
Get full text

Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China by Yiheng Zang, Jing Chen, Muhammad Awais, Mukhtar Iderawumi Abdulraheem, Moshood Abiodun Yusuff, Kuan Geng, Yongqi Chen, Yani Xiong, Linze Li, Yanyan Zhang, Vijaya Raghavan, Jiandong Hu, Junfeng Wu, Guoqing Zhao

“…The ultraviolet (UV) dual-wavelength method is widely used for NO₃⁻-N detection, but interference from complex soil organic matter affects its accuracy. …”
Get full text

Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

“…Furthermore, ConvLSTM is introduced to integrate temporal and spatial features, effectively addressing the insufficient mining of sequential characteristics in multi-day red tide detection. Experimental results demonstrate that CSF-RTDNet achieves robust detection of red tides with complex boundaries and continuous temporal patterns, attaining an accuracy of 95.89%, precision of 93.03%, recall of 96.34%, and a Kappa coefficient of 0.95. …”
Get full text

Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares by Yongze Li, Jin Ma, Dongyang Fu, Jiajun Yuan, Dazhao Liu

“…However, mangroves typically grow in coastal and near-shore areas with complex water colors, where traditional mangrove extraction algorithms face challenges such as unclear region segmentation and insufficient accuracy. …”
Get full text

Unsupervised delineation of chicken eggs based on the universal avian egg model by Paramate Horkaew, Sajeera Kupittayanant, Pakanit Kupittayanant

Get full text

Microstrip Patch Sensor for Characterizing Saline Solution Based on Complimentary Split-Ring Resonators (SC-SRRs) by Hussein Jasim, Sadiq Ahmed, Iulia Andreea Mocanu, Amer Abbood Al-Behadili

“…This sensor operates via the turbulence technique, utilizing its resonant properties as indicators to find the parameters of the liquid under test (LUT), which arise due to the variations in the salt concentration altering the complex permittivity. This alteration influences the resonant frequency (<i>f</i>_r), reflection coefficient (S₁₁), and quality factor (Q). …”
Get full text

JPEG reversible data hiding method based on optimal DCT frequency embedding by Ziyang ZHOU, Yun TAN, Jiaohua QIN, Xuyu XIANG

“…Joint photographic experts group (JPEG) images are widely used on the Internet due to their ability to maintain good picture quality while requiring less storage space.Reversible data hiding (RDH) techniques for JPEG images enable the hiding and extraction of secret information while allowing for lossless restoration of the original image.RDH is of great significance in file management and image authentication.However, many existing RDH methods result in a significant increase in the storage space of the encoded image after embedding secret information.For methods based on discrete cosine transform (DCT) coefficient embedding, the key issue that affects the performance of reversible information hiding in JPEG images is how to select the frequency band position.A reversible information hiding method for JPEG images was proposed, based on optimal DCT frequency embedding.The entropy decoded JPEG image was divided into 8×8 non-overlapping DCT blocks.The average texture complexity of each DCT block was calculated and ordered in ascending order.Then the alternating current (AC) in adjacent DCT blocks was paired pairwise.By satisfying the capacity of the information to be embedded, the optimal AC coefficient frequency position set was obtained from the distortion cost function of the AC coefficient frequency.The secret information was embedded according to the designed two-dimensional histogram mapping strategy.Experimental results demonstrate that the proposed method can reduce the expansion of the loaded image file’s storage size compared to existing methods, while maintaining good visual quality of the cover image.…”
Get full text