HMSAM-UNet: A Hierarchical Multi-Scale Attention Module-Based Convolutional Neural Network for Improved CT Image Segmentation by Na Liu, Zhonghua Lu, Wenyong Lian, Min Tian, Chiyue Ma, Lijuan Peng

“…While modern deep learning methods have made significant progress in medical image segmentation, some challenges remain, including accurately capturing features at multiple scales, limited ability to detect critical regions, and susceptibility to noise and background interference. …”
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Machine Learning–Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial by Calvin Howard, Amy Johnson, Sheena Baratono, Katharina Faust, Joseph Peedicail, Marcus Ng

“…However, while the ACoE has been internally validated, it has not been externally validated in a clinical population, and its ability to render accurate appraisals of cognition is unknown. …”
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Predict the writer’s trait emotional intelligence from reproduced calligraphy by Ruimin Lyu, Wen Sun, Yongle Cheng, Yifei Shi, Ning Wang, Joydeep Bhattacharya, Guoying Yang

“…Experimental results show that, using Mean Absolute Error (MAE), Mean Squared Error (MSE) and Pearson Correlation Coefficient (PCC) as evaluation metrics, this method’s ability to predict the writer’s trait EI from calligraphy reproductions (MAE: 0.463, MSE: 0.462, PCC: 0.730) significantly outperforms human evaluative abilities (MAE: 1.006, MSE: 1.740, PCC: 0.145), confirming that calligraphy reproductions indeed contain latent information about the writer’s trait EI.…”
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Research of methods for introducing TiO2 nanoparticles into a micron matrix of BeO and TiO2 powders and their effect on the rheological properties of a casting slip by А.В. Павлов, Е.Е. Айымханов, Ж.Б. Сагдолдина, А.Б. Касымов, Д.Р. Байжан, М.С. Жапарова

“…It is necessary to introduce the TiO2 phase into the composition of the BeO ceramics as much as possible to obtain a high coefficient. …”
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Possibilities of pharmacologic correction of cognitive disorders in conditions of experimental equivalent of multiple sclerosis. by A. A. Nefyodov, V. Io. Mamchur

“…Here with preparations were characterized by a high coefficient of antiamnesic activity, by the end of the experiment it was recorded at the level of 95% (citicoline), 81% (α-lipoic acid), 76% (nicergoline) and 53% (donepezil). …”
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Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM by Yi Zou, Wenlei Sun, Tiantian Xu, Bingkai Wang

“…The proposed RUL prediction model has high performance and fitting capacity, as well as very high generalization ability and applicability, enabling the early prediction of bearing RUL.…”
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DANCER: The routing algorithm in delay tolerant networks based on dynamic and polymorphic combination of dimensions and energy consideration by Jianxin Jia, Guangzhong Liu, Dezhi Han

“…The link weight, which reflects the packet delivery ability between the two nodes in the topology, is defined by the reciprocals of ranking values of the two nodes in multiple dimensions and the reciprocals of important coefficients of each dimension. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…Deep reinforcement learning-based detection methods have been shown to exhibit strong generalization ability and sample utilization efficiency when the number of samples is limited. …”
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Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes by Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro

“…The root mean square error of the co-occurrence coefficient was 0.31. While GPT-4 tends to output slightly higher co-occurrence coefficients, it effectively captures the overall co-occurrence patterns observed in the ScanNet v2 dataset. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…Experiments show that the proposed model can withstand various attacks with higher capacity and more efficient locating ability compared with existing methods.…”
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Devulcanization of natural rubber vulcanizates by Bacillus cereus TISTR 2651 by B. Kaewpetch, S. Prasongsuk, S. Poompradub

“…The ability of Bacillus cereus TISTR 2651 to perform biological devulcanization of natural rubber cured by conventional vulcanization (CV), semi-efficient vulcanization or efficient vulcanization was studied. …”
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Efficacy of structured and conventional techniques on aesthetic and corrective rhinoplasty by Paolo Rubez Rocha

“…RESULTS: Both techniques were efficient in attaining the final objective of the surgery. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…Experiments show that the proposed model can withstand various attacks with higher capacity and more efficient locating ability compared with existing methods.…”
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Modeling human capital strategies with an emphasis on organizational structure change by Shahriyar Emamdoust Haredasht, Musa Rezvani Chaman Zamin, Morteza Hazrati

“…The quantitative results showed that the most important component in the training and development subsystem is competence with a standard coefficient of 0.82; in the reward and compensation subsystem, innovative reward and compensation strategies with a standard coefficient of 0.94; and in the employee relations subsystem, employee relations strategy with a standard coefficient of 0.84. …”
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Research on online modeling of multiple demonstration trajectories for robots based on composite movement primitives by LI Zhiyong, YAN Bin, HUANG Xiaoping, LIU Changsheng, MA Cunguo, LIU Tundong

“…The demonstration learning algorithm based on improved dynamic motion primitives is efficient in parameter estimation and has the ability of fast multi-trajectory modeling and generalization.…”
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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

“…The main goal of the research is to develop an accurate and efficient predictive model. Naive Bayes was chosen it has ability to handle independent features and also have a compatibility with highdimensional data. …”
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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…Firstly, the real-time and efficient target detection backbone network VoVNet is used to replace the feature extraction network VGG16. …”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…Extensive simulations and experiments on real power grid data demonstrate that the proposed method significantly outperforms traditional machine learning and mainstream deep learning approaches in terms of localization accuracy, generalization ability, and computational efficiency. This paper provides new perspectives and tools for intelligent power grid information security in IoT environments, holding significant innovative value in both theory and practice.…”
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Sustainability and Resilience in the Rehabilitation of Road Infrastructures After an Extreme Event: An Integrated Approach by Marinella Giunta

“…The sustainability is closely linked with the concept of development that meets the needs of the present without compromising the ability of future generations to meet their own needs. …”
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Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

“…The ISSA includes a dynamic weight element and Levy flight process to improve the global exploration ability of the optimization algorithm and to control the global and local search ability of the population with a bet-ter convergence rate. …”
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