Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…Experimental findings demonstrated that the proposed models surpassed other state-of-the-art models, achieving a test accuracy of 94.70 % and 77.00 % for CNN, 94.00 % and 86.00 % for BCNN-VI, and 93.30 % and 81.00 % for BCNN-MC-dropout on the APTOS dataset and Messidor-2 dataset, respectively. Finally, we computed the entropy and standard deviation on the obtained predictive distribution to quantify the model uncertainty. …”
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Study on the Static Performance of Prefabricated UHPC-Steel Epoxy Bonding Interface by Yang Zou, Jinlong Jiang, Zhixiang Zhou, Xifeng Wang, Jincen Guo

“…The ultimate displacement was within 0.1 mm, showing the characteristics of brittle failure. Finally, a numerical model of the tensile specimen is established based on the cohesive interface element, and the interfacial tensile-shear coupling failure mechanism (tensile-shear coupling effect) is analyzed.…”
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Analysis of GAA Junction Less NS FET Towards Analog and RF Applications at 30 nm Regime by Asisa Kumar Panigrahy, Sudheer Hanumanthakari, Shridhar B. Devamane, Shruti Bhargava Choubey, M. Prasad, D. Somasundaram, N. Kumareshan, N. Arun Vignesh, Gnanasaravanan Subramaniam, Durga Prakash M, Raghunandan Swain

“…A detailed investigation has also been done into the P-type device response for the same device. Finally, the proposed GAA nanosheet device is used in the inverter model. …”
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Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model by Wenxiong Li, Junli Shen, Zhenyu Lu, Shudong Men, Qingwen Wu

“…Compared with traditional methods, the hybrid network has the smallest symmetric mean absolute percentage error (SMAPE) of 2.674% on the same test set, which indicates that the hybrid network obtains a higher prediction accuracy of the surrogate model. Finally, through the thermal structure-optical coupling analysis of a mirror of an optical system, it is shown that the high precision mirror TSO-MCA based on the surrogate model is 3 orders of magnitude faster than the traditional finite element analysis in terms of computation time, indicating that the surrogate model is more efficient and convenient.…”
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Fuzzy Random Characterization of Pore Structure in Frozen Sandstone: Applying Improved Niche Genetic Algorithm by Yao Ya-feng, Lin Jian, Ge Jian, Peng Shi-long, Yin Jian-chao, Ouyang Li-na

“…In addition, the improved niche genetic algorithm effectively overcomes the shortcomings of the traditional genetic algorithm, such as low effectiveness, slow convergence, and weak controllability, which provides an effective way for parameter inversion in the section of frozen geotechnical engineering. Finally, based on the T2 spectrum test of frozen sandstone, the fuzzy random characterization of frozen sandstone pore distribution is carried out by using this transformation method. …”
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The Relationship of Loneliness with Psychological Well-Being and Rumination in College students: Investigating the Mediating Role of Perceived Stress by Basir Torkashvand, Abdulaziz Aflakseir, Mahdi Imani

“…Loneliness significantly predicts psychological well-being and rumination through perceived stress. Finally, the fit indices were analyzed, and these indices demonstrated a favorable fit with the data.Discussion and Conclusion: The findings highlight the importance of loneliness and perceived stress in negative mental health outcomes. …”
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Multiscale Adaptively Spatial Feature Fusion Network for Spacecraft Component Recognition by Wuxia Zhang, Xiaoxiao Shao, Chao Mei, Xiaoying Pan, Xiaoqiang Lu

“…Second, the multi-scale adaptively spatial feature fusion module within the Multi-ASFFD cascades four adaptively spatial feature fusion blocks to fuse low-level, middle-level, and high-level features at various scales to enrich the semantic information for different spacecraft components. Finally, a compound loss function comprising the cross-entropy and boundary losses is presented to guide the MASFFN better focus on the unclear component edge. …”
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Using a modified online jigsaw technique to address covid-19 related topics during the pandemic lockdown. by Bill Anderson, Caroline Cudney

“…Next, expert groups of students with the same material are formed in order to explore their material and prepare to teach it to their peers. Finally, the original groups are reformed and students, each having a different piece of information, must work together to complete the assignment. …”
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Stability of GaN HEMT Device Under Static and Dynamic Gate Stress by Linfei Gao, Ze Zhong, Qiyan Zhang, Xiaohua Li, Xinbo Xiong, Shaojun Chen, Longkou Chen, Huaibao Yan, Anle Zhang, Jiajun Han, Wenrong Zhuang, Feng Qiu, Hsien-Chin Chiu, Shuangwu Huang, Xinke Liu

“…The positive gate shift <inline-formula> <tex-math notation="LaTeX">$(\Delta V_{\mathrm{ TH}})$ </tex-math></inline-formula> of 0.4 V is observed with increasing voltage from 3 V to 8 V; <inline-formula> <tex-math notation="LaTeX">$\Delta V_{\mathrm{ TH}}$ </tex-math></inline-formula> initially drops smoothly after release stresses by external capacitance discharge. Finally, integrated passive components and <inline-formula> <tex-math notation="LaTeX">${p}$ </tex-math></inline-formula>-GaN gate HEMT circuit are recommended to mitigate the <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm{ TH}}$ </tex-math></inline-formula> instability for E-mode HEMT.…”
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Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles by Ning Wang, Jiahui Guo

“…After that, the Kuhn–Munkres algorithm is set as the baseline method to solve the first model to achieve optimal multiaction allocation instructions for SAEVs, and the combination of deep Q-learning algorithm and Kuhn–Munkres algorithm is designed to solve the second model to realize the global optimization. Finally, a toy example, a macrosimulation of 1 month, and a microsimulation of 6 hours based on actual historical operation data are conducted. …”
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YOLO-IRS: Infrared Ship Detection Algorithm Based on Self-Attention Mechanism and KAN in Complex Marine Background by Limin Guo, Yuwu Wang, Muran Guo, Xiaohai Zhou

“…Second, the C3KAN module is designed to improve detection accuracy while also addressing issues of false positives and missed detections in complex backgrounds and dense occlusion scenarios. Finally, extensive experiments were conducted on an infrared ship dataset: compared to the baseline model YOLOv10, YOLO-IRS improves precision by 1.3%, mAP₅₀ by 0.5%, and mAP_50–95 by 1.7%. …”
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Multidisciplinary Collaboration and Novel Technological Advances in Hadron Therapy by Manjit Dosanjh PhD, Alberto Degiovanni PhD, Maria Monica Necchi PhD, Elena Benedetto PhD

“…Both of these endeavours are embedded in cutting edge technologies and multidisciplinary collaboration. HT is finally gaining ground and, even after 70 years, the particle therapy field continues innovating and improving for the benefits of patients globally. …”
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SACWOM: Synergistic Adaptive Congestion Window Optimization Mechanism for Self-Clocked Algorithm by Haider Dhia Zubaydi, Ahmed Samir Jagmagji, Sandor Molnar

“…Phase II analysis shows up to 20.76-22.64% improvements with optimized configurations. Finally, Phase III, comprising 100 experiments, reveals SACWOM&#x2019;s dynamic adaptability, achieving up to 50-70% improvements. …”
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Time Course of Muscle Damage and Inflammatory Responses to Resistance Training with Eccentric Overload in Trained Individuals by Bernardo Neme Ide, Lázaro Alessandro Soares Nunes, René Brenzikofer, Denise Vaz Macedo

“…Four subjects presented significant changes for creatine kinase at P2, and another two at P13; six for C-reactive protein at P2, and three at P11; two for neutrophils at P2, P4, and P13, respectively; and only one for white blood cells at P2, P4, P7, and P9, for lymphocyte at P7, P9, and P13, and for platelet at P4. …”
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Single-cell transcriptomic profiling of heart reveals ANGPTL4 linking fibroblasts and angiogenesis in heart failure with preserved ejection fraction by Guoxing Li, Huilin Zhao, Zhe Cheng, Junjin Liu, Gang Li, Yongzheng Guo

“…Immunohistochemistry and immunofluorescence staining then revealed the downregulation of vascular density and upregulation of ANGPTL4 expression in HFpEF hearts. Finally, we predicted ANGPTL4as a potential druggable target using DrugnomeAI. …”
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Oral English Development of EFL Learners from the Perspective of Complexity Dynamic Theory by Qiang Dou, Guohua Li, Yuan Tang

“…After that, this paper sets up a controlled test of oral English learning through the learning method formulated by the complex dynamic system theory and verifies the learning effect of the oral English learning method proposed in this paper according to the mathematical theory research method of the complex dynamic system. Finally, this article discusses the reliability of the experimental research conclusions based on the error analysis and confidence level estimation of the experimental results. …”
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Global research trends in zero-waste cities: a comprehensive bibliometric analysis by Han Wang, Bin Zhao, Shaban G. Gouda

“…Keywords such as “circular economy”, “sustainable development” and “carbon emissions” may become research hotspots or future trends. Finally, this study presents the future direction of zero-waste cities, thematic focus and research hotspots making a valuable contribution to zero-waste cities field.…”
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End-to-End Mandarin Speech Reconstruction Based on Ultrasound Tongue Images Using Deep Learning by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Shaochuan Zhang, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

“…The model includes a pretrained feature extractor to process ultrasound images, an upsampling block to generate speech, and discriminators to ensure the similarity and fidelity of the reconstructed speech. Finally, both objective and subjective evaluations were conducted for the reconstructed speech. …”
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EGFR-TKIs or EGFR-TKIs combination treatments for untreated advanced EGFR-mutated NSCLC: a network meta-analysis by Ao Liu, Xiaoming Wang, Lian Wang, Han Zhuang, Liubo Xiong, Xiao Gan, Qian Wang, Guanyu Tao

“…Abstract Background Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) and EGFR-TKI combination treatments have become the standard first-line treatments for EGFR-mutated non-small cell lung cancer (NSCLC) patients. …”
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Study on Flow Structure Characteristics Along the Latticework Duct Subchannels and Classification Boundary Prediction by Minlong Li, Huishe Wang, Ke Yang, Rongguo Yu, Jingze Ton

“…This finding provides support for the selection of empirical formulas for each module in the one-dimensional modeling of subchannels. Finally, the boundary prediction equations of each flow structure in the subchannel were established, and the average prediction error was less than 10%. …”
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