Clinical and functional remission assessment in patients with recurrent depression by N. N. Petrova

“…The criteria for complete remission with its average duration of 6 months were met in 58.6% of patients. …”
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Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback by Alicia Falcon-Caro, Joao Filipe Ferreira, Saeid Sanei

“…In such a formulation, orthogonal Bessel functions are utilized to represent different gestures and used as the target for the adaptation algorithm. This method aims at detecting and evaluating the prolonged motor movements as well as identifying highly complex sub-gestures. …”
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Falling Detection of Toddlers Based on Improved YOLOv8 Models by Ziqian Yang, Baiyu Tsui, Jiachuan Ning, Zhihui Wu

“…We present a toddler target extraction method and real-time falling alarm. …”
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Modeling Focused Ultrasound Exposure for the Optimal Control of Thermal Dose Distribution by E. Sassaroli, K. C. P. Li, B. E. O'Neill

“…The results of these simulations suggest that, for focused ultrasound, as for other delivery methods, the only way to control temperature is to adjust the average energy deposition to compensate for the presence of thermally significant vessels in the target area. …”
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Batch Evaluation Metrics in Information Retrieval: Measures, Scales, and Meaning by Alistair Moffat

“…In particular, we argue that mappings from categorical and ordinal data to sets of points on the number line are valid provided there is an external reason for each target point to have been selected. We first consider the general role of measurement scales, and of categorical, ordinal, interval, ratio, and absolute data collections. …”
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Functionality features of the RMS-R3 system in the third physics run of the LHCb experiment by S. B. Chernyshenko, V. M. Dobishuk, V. M. Pugatch

“…The data measured in 2022 - 2023 allow us to observe the parameter variation impact of the nucleus-nucleus average number interactions in a single bunch crossing of the beams, the change of the state of the VELO detector and the injection of gaseous target SMOG2 by different gases.…”
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Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka, Patchanok Srisuradetchai

“…Deep neural networks (DNNs) are prominent in predictive analytics for accurately forecasting target variables. However, inherent uncertainties necessitate constructing prediction intervals for reliability. …”
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Investigating the Status of Social Support in Type 2 Diabetes Patients in Southeast Iran by Leila Vali, Azar Izadi, Yunes Jahani, Atousa Poursheikhali, Ali Masoud, Mousa Bamir

“…These findings underscore the importance of tailored interventions that target specific areas of support, such as exercise and general care, and take into account the differences between men and women.…”
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Person Re-Identification With Self-Supervised Teacher for In-Box Noise by Yonghyeok Seo, Seung-Hun Kim

“…This methodology demonstrates impressive performance on benchmark datasets, achieving a mean average precision (mAP) of 73.4 and a rank-1 score of 88.8 on MSMT17, and an mAP of 89.7 and a rank-1 score of 95.2 on Market1501.…”
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Complex Working Condition Bearing Fault Diagnosis Based on Multi-Feature Fusion and Improved Weighted Balance Distribution Adaptive Approach by Jing Yang, Yanping Bai, Ting Xu, Rong Cheng, Wendong Zhang, Guojun Zhang

“…Finally, the improved weighted balance distribution adaptive algorithm is used to reduce the distribution difference between the source domain and the target domain. K-nearest neighbors is used as a classifier to determine the fault category. …”
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Point set registration-based image stitching in unmanned aerial vehicle transmission line inspection by Xiyu Wang, Xin Hu, Diyuan Xiang, Jian Xiao, Hongliang Cheng

“…Abstract To address the limitations of narrow field of view and insufficient target information in single frame images obtained by airborne cameras, this paper proposed a novel image stitching method using an improved robust point set registration algorithm based on neighborhood and local structural features(PR-NLS). …”
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Solving Collaborative Scheduling of Production and Logistics via Deep Reinforcement Learning: Considering Limited Transportation Resources and Charging Constraints by Xianping Huang, Yong Chen, Wenchao Yi, Zhi Pei, Ziwen Cheng

“…To solve this problem, an improved PPO algorithm—CRGPPO-TKL—has been developed, which integrates candidate probability ratio calculations and a dynamic clipping mechanism based on target KL divergence to enhance the exploration capability and stability during policy updates. …”
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Research on Continuous Obstacle Avoidance Picking Planning Based on Multi-Objective Clustered Crabapples by Liguo Wu, Longqiang Yuan, Xiangquan Meng, Sanping Li, Qiyu Wang, Xingyu Chen

“…In view of the low efficiency and slow development of fruit and vegetable picking in China, the picking sequence and obstacle avoidance of clustered crabapples were studied with them as the picking target. The multi-objective picking sequence of crabapples was planned, and the adaptive pheromone factor, heuristic function, and volatile factor were used to improve the ant colony (ACO) algorithm, so as to improve the convergence speed, adaptability, and global search ability of the algorithm. …”
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Performance of Secondary Schools from 2005-2012: An Input to Implementation of Education for All (EFA) in Region 10 by Melinda Madrid-Garabato, Juana M. Dela Rama

“…Thus, the conduct of this study gathers the profile of the public secondary schools in Region 10 in terms of enrolment both male and female, number of drop outs, number of graduates and NAT MPS Scores as an input to evaluate the performance of secondary schools on its implementation of Education for All (EFA) from year 2005-2012 in comparison to the EFA targets geared towards 2015. Data subjects for statistical treatment using Mean and Percentage rate to determine the average performance of the secondary schools in Region 10. …”
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Analysing community-level spending behaviour contributing to high carbon emissions using stochastic block models by Ognyan Simeonov, Valerio Restocchi, Benjamin D. Goddard

“…However, to effectively target high-emission spending areas and implement successful carbon reduction strategies, policymakers and financial institutions need to understand individual consumer spending behaviour. …”
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High-Precision Optimization of BIM-3D GIS Models for Digital Twins: A Case Study of Santun River Basin by Zhengbing Yang, Mahemujiang Aihemaiti, Beilikezi Abudureheman, Hongfei Tao

“…Applied to the Santun River Basin digital twin project, experiments with 10 water gate models show that the AW-QEM algorithm reduces average loading time by 15% compared to traditional QEM, while maintaining 97% geometric accuracy, demonstrating the method’s efficiency in balancing precision and rendering performance.…”
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Episodic positive selection in the evolution of avian toll-like receptor innate immunity genes. by Catherine E Grueber, Graham P Wallis, Ian G Jamieson

“…We included up to 23 species per gene (mean = 16.0) and observed that, although purifying selection was evident, an average of 4.5% of codons experienced episodic positive selection across all loci. …”
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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…To diagnose sickness, the MLP model serves as a meta-learner to combine and convert the data from the two feature extraction algorithms into the target variable. According to the implementation results, the suggested approach outperformed the compared approaches in terms of average accuracy and precision, achieving 98.28% and 0.99%, respectively, indicating a very great capacity to identify diabetes.…”
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Eco-efficiency of Crop Production in Madhya Pradesh by Nihal Khangar, Mohanasundari Thangavel

“…The study also determines target values for input reduction and output improvement to guide sustainable agriculture. …”
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Sugarcane Feed Volume Detection in Stacked Scenarios Based on Improved YOLO-ASM by Xiao Lai, Guanglong Fu

“…To address this, we propose YOLO-ASM (YOLO Accurate Stereo Matching), a novel detection method. At the target detection level, we integrate a Convolutional Block Attention Module (CBAM) into the YOLOv5s backbone network. …”
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