Feature learning and generalization in deep networks with orthogonal weights by Hannah Day, Yonatan Kahn, Daniel A Roberts

“…We speculate that this structure preserves finite-width feature learning while reducing overall noise, thus improving both generalization and training speed in deep networks with depth comparable to width. …”
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Biomimetic Hydrofoil Propulsion: Harnessing the Propulsive Capabilities of Sea Turtles and Penguins for Robotics by Yayi Shen, Zheming Ding, Xin Wang, Zebing Mao, Zhong Huang, Bai Chen

“…Building on this biomechanical foundation, the review critically examines recent advances in biomimetic flexible hydrofoils that enhance propulsion efficiency through three synergistic mechanisms to enhance thrust generation, while identifying key challenges in material durability and non-linear fluid–structure interactions. The review then surveys existing hydrofoil actuation systems, which commonly reproduce coupled motions with multiple degrees of freedom (DOFs). …”
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Polarization Characteristics of the Hyperactive FRB 20240114A by Jin-Tao Xie, Yi Feng, Di Li, Yong-Kun Zhang, Deng-Ke Zhou, Yuanhong Qu, Xiang-han Cui, Jian-Hua Fang, Jia-Ying Xu, Chen-Chen Miao, Mao Yuan, Chao-Wei Tsai, Pei Wang, Chen-Hui Niu, Xianglei Chen, Mengyao Xue, Junshuo Zhang

“…We analyze the fluence and waiting-time distributions of FRB 20240114A, revealing a right-skewed fluence distribution and a bimodal waiting-time structure, suggesting intrinsic emission timescales and potential multiple burst populations. …”
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Assessing brain morphological correlates of premenstrual symptoms in young healthy females by Sara B. Marjanovic, Madelene Christin Holm Bukhari, Rikka Kjelkenes, Irene Voldsbekk, Claudia Barth, Lars T. Westlye

“…Premenstrual symptoms have been partly attributed to the brain's sensitivity to menstrual cycle-related hormonal fluctuations, which may be modulated by individual differences in the structural characteristics of the brain. In a population-based sample of 292 non-pregnant females aged 23–43 years, we tested for associations between self-reported premenstrual symptom load and T1-weighted MRI based brain measures of cortical thickness, volume, and surface area as well as subcortical volumes, not controlling for menstrual cycle phase. …”
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A Method for Determining Feasibility of Mining Residual Coal above Out-Fashioned Goaf under Variable Load: A Case Study by Yuxia Guo, Honghui Yuan, Xiaogang Deng, Yujiang Zhang, Yunlou Du, Hui Liu, Guorui Feng, Jiali Xu, Renle Zhao, Dao Viet Doan

“…In this situation, the combination structure is most easy to to be damaged. The ratio q′/q has a linear relationship with all stresses of the system model. …”
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On the non-parametric changepoint detection of flow regimes in cyclone Amphan by Venkat Shesu Reddem, Venkata Jampana, Ravichandran Muthalagu, Venkateswara Rao Bekkam, Pattabhi Rama Rao Eluri, Srinivasa Kumar Tummala

“…This article explores the possibility of using a non-parametric algorithm to identify different flow regimes using a one-month long time-series data of the near-surface parameters. The changes in the structure of the time series signal were statistically segmented using an unconstrained non-parametric algorithm. …”
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MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment by Zhesheng Cheng, Yingdan Wu, Fang Tian, Zaiwen Feng, Yan Li

“…Focus is placed on designing the local–global image feature fusion module (LG-IFFB) and the adaptive image contrast enhancement module (AICEB), in which the LG-IFFB adopts the local–global dual-branching structure to extract multi-scale image features, and utilizes the element-by-element multiplication method to fuse the local details with the global illumination distribution to alleviate the problem of serious loss of image details, while the AICEB incorporates linear contrast enhancement and confidence adaptive stopping mechanism, which dynamically adjusts the computational depth according to the confidence of the feature map, balancing the contrast enhancement and computational efficiency. …”
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A novel method based on improved SFLA for IP information extraction from TEM signals by Ruiyou Li, Ruiheng Li, Guang Li, Yong Zhang, Xiaohui Ding, Long Zhang

“…The inversion results show that the ISFLA method can more effectively reconstruct the geoelectric structure, extract IP information, and exhibit greater robustness. …”
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Flexible Frequency-Hopping Microwave Generation by Dynamic Control of Optically Injected Semiconductor Laser by Pei Zhou, Fangzheng Zhang, Xingwei Ye, Qingshui Guo, Shilong Pan

“…The system has a compact structure, and the key device is a commercial semiconductor laser. …”
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Flexible sensor based on self-assembly of halloysite nanotubes in ionic liquids/thermoplastic polyurethane composites by Xiuqi Zhou, Jiajun Chen, Wenwu Zhang, Wenming Zhao, Qinghu Wang, Xiongqi Peng

“…The HNT obtained orderly arrangement structure after shear process, which provides effective ionic transport channels for IL. …”
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A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal by Dylan J. Keel, Katie Karpenko, Scott M. Blankenship, Gregg Schumer, Oshun O’Rourke, Carl O. Ostberg, Daniel A. Chase, Jeffrey J. Duda

“…Anticipating the acceleration of omics innovation, we preserved samples for long-term storage and identified requisite phases for sustained function and adaptation of the molecular library: securing a physical storage facility for genetic material, establishing a governance structure, and confirming support for archive management.…”
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Giant tunability of superlattice excitations in chiral Cr1/3TaS2 by J. L. Musfeldt, Y. Gu, J. T. Haraldsen, K. Du, P. Yapa, J. Yang, D. G. Mandrus, S. -W. Cheong, Z. Liu

“…In addition to unraveling these structure-property relations, we combine pressure and strain to demonstrate that the superlattice excitation in Cr1/3TaS2 can be tuned in a nearly linear fashion by approximately 16% overall in frequency space—a significant advance for spintronics and photonics applications.…”
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Propagation of a Vector Cosine-Gaussian Correlated Beam Through an Active GRIN Medium by Zitan Wang, Jing Wang, Lingling Huang, Shijun Zhu, Zhenhua Li

“…It is shown that the initial correlation structure has a significant influence on the intensity gain; an ECGSM beam ( <italic>n</italic> &#x003D; 1) experiences more gain than a conventional electromagnetic Gaussian Schell-model (EGSM) beam (<italic>n</italic> &#x003D; 0). …”
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Dynamic Identification Method of Distribution Network Weak Links Considering Disaster Emergency Scheduling by Wenlu Ji, Lan Lan, Lu Shen, Dahang Shi, Chong Wang

“…Then, the line degrees and the line betweenness are calculated to obtain the structure indexes of the line, both of which are dynamically related to the power flow and the loads of the distribution network. …”
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Dissipative solitons signature in achiral Néel magnetic domain walls driven by spin-orbit torque by Mouad Fattouhi, André Thiaville, Felipe García-Sánchez, Ruben M. Otxoa, María Pilar García Estévez, Eduardo Martínez, Luis López-Díaz

“…Abstract Magnetic domain walls offer a compelling platform for investigating non-linear spatio-temporal phenomena due to their rich internal dynamics under external stimuli. …”
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Photonic frequency multiplexed next-generation reservoir computer by Nicholas Cox, Joseph Murray, Joseph Hart, Brandon Redding

“…The FM-NGRC introduced here defines the memory structure using an optical frequency comb and dispersive fiber, while the sinusoidal response of electro-optic Mach–Zehnder interferometers controls the nonlinear transform applied to elements of the feature vector. …”
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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…Furthermore to select the local best individual for the habitat to be migrated an adaptive local topological structure has been used. We name it as “Adaptive Neighbourhood for Locally and Globally Tuned Biogeography Based Optimization algorithm (ANLGBBO)”. …”
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DEVELOPMENT AND STUDY OF THE OPERATION OF THE MODULE FOR DETERMINING THE ORIENTATION OF THE MANIPULATOR JOINT by Igor Nevlyudov, Sergiy Novoselov, Oksana Sychova

“…The goal of the work is to develop a module for determining the orientation of the joint of the manipulator and study its operation in order to determine the suitability subject of the structure for practical use. The following tasks are solved in the article: to investigate the principles of determining the orientation of the joints of industrial robots; choose the design of the orientation determination module; develop an algorithm for determining the position of the joint at any time; perform experimental studies of the position determination module in order to confirm the suitability of the structure for practical use. …”
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Comparison of Characteristics and Extreme Gale Mechanisms of Two Strong Squall Lines in Zhejiang During Spring by Qian Zhuolei, Zhang Chaoqin, Zhou Hongyuan, Zhang Weiwei, Lu Jun, Luo Ling

“…The southward movement of the cold front leads to the formation of strong storm cells near the front line and the merging with the severe storm, making the size of the storm rapidly grow into a squall line, with an obvious bow structure. 0402 squall line is formed by the convergence of two linear convective lines. …”
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Characteristics of gut microbiota in people with circadian rhythm disruption and its correlation with cognition by JIAN Jincheng, HE Wei, JIANG Hongfei

“…Conclusion‍　‍Individuals with circadian rhythm disorders have significant changes in the structure and function of gut microbiota when compared to those with normal circadian rhythms. …”
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