This paper aims to solve the batch-cyclic job shop scheduling problem in the manufacturing systems, where machine duplication in a cell is not allowed. In this regard, a new method is proposed to minimize the makespan...
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Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the generated power and reducing the life expectancy. The problem of generator deterioration has been considered for the Mut...
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Safety is of utmost importance when utilizing mobile vehicles. The introduction of safe driver assistance and automated driving systems will not only solve this problem, but also reduce road accidents and make driving...
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The purpose of this study is to enhance the ethical and moral competence in the nursing students through the bioethics education in the United Kingdom. This study analyzed the impact of ethical education, holistic cog...
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Nickel-rich（Ni≥90%） layered oxides materials have emerged as a promising candidate for nextgeneration high-energy-density lithium-ion batteries（LIBs）.However,their widespread application is hindered by structural...
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Nickel-rich（Ni≥90%） layered oxides materials have emerged as a promising candidate for nextgeneration high-energy-density lithium-ion batteries（LIBs）.However,their widespread application is hindered by structural fatigue and lattice oxygen *** this work,an epitaxial surface rock-salt nanolayer is successfully developed on the LiNi0.9Co0.1O2sub-surface via heteroatom anchoring utilizing high-valence element molybdenum *** in-situ formed conformal buffer phase with a thickness of 1.2 nm effectively suppresses the continuous interphase side-reactions,and thus maintains the excellent structure integrity at high ***,theoretical calculations indicate that the lattice oxygen reversibility in the anion framework of the optimized sample is obviously enhanced due to the higher content of O 2p states near the Fermi level than that of the pristine ***,the stronger Mo-O bond further reduces cell volume alteration,which improves the bulk structure stability of modified ***,the detailed charge compensation mechanism suggests that the average oxidation state of Ni is reduced,which induces more active Li+participating in the redox reactions,boosting the cell energy *** a result,the uniquely designed cathode materials exhibit an extraordinary discharge capacity of 245.4 mAh g-1at 0.1 C,remarkable rate performance of 169.3 mAh g-1at 10 C at4.5 V,and a high capacity retention of 70.5% after 1000 cycles in full cells at a high cut-off voltage of 4.4 *** strategy provides an valuable insight into constructing distinctive heterostructure on highperformance Ni-rich layered cathodes for LIBs.
The detection and analysis of rare cells in complex media such as blood is increasingly important in biomedical research and clinical ***-Hall detectors(μHD)for magnetic detection in blood have previously demonstrate...
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The detection and analysis of rare cells in complex media such as blood is increasingly important in biomedical research and clinical ***-Hall detectors(μHD)for magnetic detection in blood have previously demonstrated ultrahigh sensitivity to rare *** sensitivity originates from the minimal magnetic background in blood,obviating cumbersome and detrimental sample ***,the translation of this technology to clinical applications has been limited by inherently low throughput(<1 mL/h),susceptibility to clogging,and incompatibility with commercial CMOS foundry *** help overcome these challenges,we have developed CMOS-compatible graphene Hall sensors for integration with PDMS microfluidics for magnetic sensing in *** demonstrate that these grapheneμHDs can match the performance of the best publishedμHDs,can be passivated for robust use with whole blood,and can be integrated with microfluidics and sensing electronics for in-flow detection of magnetic *** show a proof-of-concept validation of our system on a silicon substrate and detect magnetic agarose beads,as a model for cells,demonstrating promise for future integration in clinical applications with a custom CMOS chip.
Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time (DT) models. However, even with nume...
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This work presents the development of an asynchronous dwell-free virtual keyboard application which can be operated using electrooculographic (EOG) data. Unlike other EOG based eye typing applications, the developed s...
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Recent advances in learning algorithms have identified loss surface sharpness as an effective metric for reducing the generalization gap. Building on this principle, Sharpness-Aware Minimization (SAM) was introduced t...
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Recent advances in learning algorithms have identified loss surface sharpness as an effective metric for reducing the generalization gap. Building on this principle, Sharpness-Aware Minimization (SAM) was introduced to improve model generalization and has achieved state-of-the-art performance through its weight perturbation and updating steps. However, SAM’s perturbation is based solely on the gradient of the standard cross-entropy loss. As the model approaches convergence, this gradient diminishes and oscillates, leading to inconsistent perturbation directions. To address these limitations, we introduce SAM-CE-AACE and SAM-SCE-AACE. SAM-CE-AACE replaces the conventional cross-entropy loss with the Adaptive Adversarial Cross-Entropy (AACE) loss in the perturbation step. Unlike the standard loss, AACE increases in both value and gradient magnitude as the model converges, ensuring stable perturbation directions. Additionally, SAM-CE-AACE’s perturbation utilizes AACE loss without normalization, enhancing the model’s exploratory capabilities in near-optimum stages. Moreover, SAM-SCE-AACE further improves SAM-CE-AACE by integrating label smoothing into the weight-updating step, reducing overconfidence in predictions. Together, this combination of the AACE loss function and label smoothing technique leads to further improvement in model performance. Intensive empirical experiments have been conducted to confirm the effectiveness of our methods, with experiments demonstrating improved performance in image classification tasks using different network architectures across various datasets. The reproduction code is available online at https://***/proj/AACE
Signal propagation is a prevalent research topic for an abound-ing number of complex network applications. The nonlinear characteristics of complex networks determined by complex interactions and topology re-quire sui...
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