Analysis on the potential of Pennisetum hydridum for phytoremediation of Cd-polluted soil fertilized by worm castings. by Xiafang Hong, Zhi Zhang, Zhiwei Wan

“…However, most plant species have limited remediation ability and cannot achieve good heavy metal removal effect. …”
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PMD-Transformer: A Domain Generalization Approach for Person Re-Identification by Xingguo Jiang, Ling Yu, Guojun Lin, Yuchao Zhang

“…Transformers often demonstrate better generalization ability than CNNs due to their self-attention mechanism and capacity for capturing global features. …”
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DT-YOLO: An Improved Object Detection Algorithm for Key Components of Aircraft and Staff in Airport Scenes Based on YOLOv5 by Zhige He, Yuanqing He, Yang Lv

“…We then introduced a novel module named D-CTR in the backbone, which integrates the global feature extraction capability of Transformers with the limited receptive field of convolutional neural networks (CNNs) to enhance the feature representation ability and overall performance. A dropout layer was introduced to reduce redundant and noisy features, prevent overfitting, and improve the model’s generalization ability. …”
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Oriented Road Marking Detection in MLS Point Cloud Intensity Images Using Channel and Spatial Attention by Dehui Li, Tao Liu, Ping Du, Yi He, Shuangtong Liu

“…Finally, the spatial SEM is introduced to enhance the feature pyramid network's ability to capture contextual information. The module consists of the large selective kernel network (LSKNet) and the SEM. …”
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YOLO-v4 Small Object Detection Algorithm Fused With L-α by ZHANG Ning, YU Ming, REN Honge, AO Rui, ZHAO Long

“… The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of low resolution and feature loss which leads to that many general algorithms cannot be directly applied to small object detection.The feature pyramid fusion can effectively combine the features of deep and shallow layers to enhance the performance.To solve the problem most models existing ignoring the imbalance of information during the feature fusion between adjacent layers, it is proposed to integrate the idea of fusion factor into the PANet of YOLOv4, use the fusion factor L-αto control the amount of information transmitted from the deep layer to the shallow, so as to effectively improve the efficiency of information fusion and enhance the ability of YOLO-v4 for small objects detection.With the addition of L-αin YOLO- V4 model, the experiment results show that the APtiny50and APsmall50on the TinyPerson are improved by 2.14% and 1.85% respectively, while the AP and APS on the MS COCO are separately increased by 1.4% and 2.7%.It is proved that this improved method is effective for small object detection with the evidence of better result than other small object detection algorithms.…”
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Gearbox Fault Diagnosis Based on Compressed Sensing and Multi-Scale Residual Network with Lightweight Attention Mechanism by Shihua Zhou, Xinhai Yu, Xuan Li, Yue Wang, Kaibo Ji, Zhaohui Ren

“…Subsequently, a multi-scale feature extraction (MSFE) module was designed based on multi-scale learning, with the aim of improving the feature extraction ability of the signal in noisy environments. Finally, an improved depth residual attention (IDRA) module was established and connected to the MSFE module, further enhancing the exactitude and generalization ability of the diagnosis method. …”
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Intelligent adjustment and energy consumption optimization of the fresh air system in hospital buildings based on Fuzzy Logic and Genetic Algorithms by Jing Peng, Maorui He, Mengting Fan

“…Abstract To improve the intelligent adjustment ability and energy consumption prediction accuracy of the fresh air system in hospital buildings, this study constructs an energy consumption prediction model based on the Back Propagation Neural Network (BPNN). …”
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Effects of Programmatic Assessment in Clinical Reasoning Courses in General Practice by ZHAI Jiayi, LU Yuan, SHI Jianjun, YU Dehua

“…Background The clinical reasoning of general practitioners is the key to providing quality medical services to patients, but it is not suitable for traditional methods to evaluate this ability because it is an abstract ability that cannot be directly observed. …”
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A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection by Tathagat Banerjee, Davinder Paul Singh, Pawandeep Kour, Debabrata Swain, Shubham Mahajan, Seifedine Kadry, Jungeun Kim

“…UIGO demonstrated higher performance than other contemporary liver tumor segmentation techniques, indicating the system’s ability to enhance clinician’s ability to deliver precise and prompt evaluations at a lower computational expense. …”
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Novel Species-Specific Primers Enable Accurate Detection and Quantification of Pseudomonas aeruginosa via qPCR by Chaerin Kim, Ravi Jothi, Kwang-Kyo Oh, Dong Suk Park

“…Its resilience, virulence, and ability to form biofilms necessitate the development of novel methods for early detection of its presence in food products. …”
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Construction and validation of a risk model of proteinuria in patients with omicron COVID‐19: retrospective cohort study by Lanbo Teng, Ge Chang, Xinyuan Song, Miaomiao Zhang, Yingying Han, Wenxiu Chang, Zhongyang Shen

“…Similarly to that observed in derivation cohort, the AUC is 0.833(95% CI 0.7808 to 0.9002, p < 0.0001), which verified good prediction ability and diagnostic accuracy in validation cohort.Conclusions The risk model of proteinuria after Omicron infection had better assessing efficiency which could provide reference for clinical prediction of the risk of proteinuria in Omicron patients.…”
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PROFESSIONAL MOBILITY IN THE CONTEXT OF PREPARATION OF FUTURE PEDAGOGUES TO PROFESSIONAL SELF-DEVELOPMENT by Valentyna A. Frytsiuk, Iryna G. Gerasymova

“…It will ensure the efficiency and competitiveness of teachers in future professional activities.…”
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Sorting misorganized books in libraries based on ant colony algorithm by Ling Chen

“…The global optimization possessed by ant colony algorithm can also make the convergence value of the model close to the optimal value, thereby improving the overall operational efficiency of the model. At the same time, the two-dimensional maximum between-class variance method itself has a certain ability to resist noise interference. …”
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Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system by Xinming Wang, Huayang Liang, Xiaobo Jia, Shihui Li, Shengyang Kang, Yan Gao

“…The experimental results show that after 400 iterations, the control convergence accuracy of the proposed method reaches 0.980, which is significantly better than that of the comparison method, and performs well in terms of scheduling efficiency improvement, load scheduling stability, scheduling time and energy waste ratio, proving that the method has good multi-objective integration and strong optimization ability in the scheduling process, and improves the load balanced scheduling and adaptive control ability of the power system.…”
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Investigating age-related dynamics and transcriptional signatures of CD8⁺HLA-DR⁺ regulatory T lymphocytes: perspectives in understanding immune system aging by K. S. Matveeva, S. A. Rybtsov, D. V. Shevyrev

“…The ability of the CD8+HLA-DR+ regulatory T lymphocytes population to regulate the immune response was first described several years ago. …”
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Alterations in Human Hippocampus Subregions across the Lifespan: Reflections on White Matter Structure and Functional Connectivity by Jianling Tan, Zhongyan Wang, Yi Tang, Yin Tian

“…We also provided empirical evidence that memory ability was altered with the hippocampus, and its efficiency tended to decline after age 40.…”
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Eliminating the Need for Anesthesia in Sleep Endoscopy: A Comparative Study of Traditional Nasopharyngoscope Design Versus NasoLens by Yen-Tsung Lin, Chih-Wei Shih, Nathan Chen, Hsin-Tzu Lu, Woei-Chyn Chu, Kuang-Chao Chen

“…These design innovations could revolutionize clinical practice by minimizing anesthesia-related risks, reducing procedural costs, and improving both procedural efficiency and patient satisfaction. With its ability to allow natural sleep without sedation, NasoLens has the potential to improve patient satisfaction, procedural outcomes, and expand the feasibility of sleep endoscopy into more accessible clinical settings, making it a promising alternative to traditional models.…”
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Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite by Hassan Rasoulzadeh, Hossein Azarpira, Mojtaba Pourakbar, Amir Sheikhmohammadi, Alieh Rezagholizade-shirvan

“…These findings emphasize the importance of optimizing parameters X2 and X3 in the removal process and suggest that optimizing these parameters can lead to improved removal efficiency. This research introduces an efficient method for removing oxytetracycline (OTC) from liquids using CuO-M-CAB nanoparticles. …”
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Advancing the deployment and information management of direct air capture: A solution enabled by integrating consortium blockchain system by Zihan Chen, Yiyu Liu, Eryu Wang, Huajie You, Qi Gao, Fan David Yeung, Jia Li

“…Preliminary modeling of the proposed system suggests potential improvements in operational efficiency and a reduction in data inaccuracies. The proposed system underscores the system's ability to streamline identity verification, improve data collection accuracy, and facilitate secure, confidential information sharing among DAC stakeholders. …”
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Artificial intelligence-produced radiographic enhancements in dental clinical care: provider and patient perspectives by Lyubov D. Slashcheva, Lyubov D. Slashcheva, Kelly Schroeder, Lisa J. Heaton, Hannah J. Cheung, Brenda Prosa, Nicole Ferrian, Jesse Grantz, Jesse Grantz, Deborah Jacobi, John J. O’Malley, Michael Helgeson, Eric P. Tranby

“…While the majority of providers (n = 70 for Survey I; n = 53 for Survey II) said that AI enhancements would help facilitate patient education efforts, providers’ confidence in the ability of the AI software to improve diagnosis of dental caries and periodontal disease and its ability to improve the efficiency of their work was mixed. …”
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