Accurate prediction of peptide spectra is crucial for improving the efficiency and reliability of proteomic analysis,as well as for gaining insight into various biological *** this study,we introduce Deep MS Simulator...
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Accurate prediction of peptide spectra is crucial for improving the efficiency and reliability of proteomic analysis,as well as for gaining insight into various biological *** this study,we introduce Deep MS Simulator(DMSS),a novel attention-based model tailored for forecasting theoretical spectra in mass *** has undergone rigorous validation through a series of experiments,consistently demonstrating superior performance compared to current methods in forecasting theoretical *** superior ability of DMSS to distinguish extremely similar peptides highlights the potential application of incorporating our predicted intensity information into mass spectrometry search engines to enhance the accuracy of protein *** findings contribute to the advancement of proteomics analysis and highlight the potential of the DMSS as a valuable tool in the field.
This paper presents a program.ing system for a robot manipulator using a hand-held demonstration tool. In this system, a user holds the self-designed tool to demonstrate a desired motion path, and the robot arm replic...
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Searching for high-index dielectrics, we identify materials that break the index upper bound set by Moss' rule. We highlight the promise of such super-Mossian materials by demonstrating nanophotonic devices made o...
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In the realm of coal mining, safety and risk management stand as paramount challenges, underscored by the inherent perils like structural failures and the presence of hazardous gases such as methane. Recognizing the u...
In the realm of coal mining, safety and risk management stand as paramount challenges, underscored by the inherent perils like structural failures and the presence of hazardous gases such as methane. Recognizing the urgent need for enhanced safety measures, this paper introduces a novel system seamlessly integrating structural integrity assessment with gas concentration analysis to ascertain the warning level in coal mines. The core objective revolves around fortifying safety protocols by implementing effective monitoring and early warning systems. This multifaceted approach encompasses addressing potential hazards, preventing accidents, reducing environmental impact, and, above all, safeguarding the well-being of mine workers. The system, intertwining structural monitoring and gas concentration measurement, dynamically generates real-time risk assessments and alerts based on the integrated data. Against the backdrop of these intricate challenges, the research strives to propel substantial advancements in mining safety practices. By harnessing the capabilities of camera imagery, machine learning, and gas sensors, it envisions a future marked by elevated safety standards and a noteworthy reduction in incidents within coal mines.
Navigating the complex legal and regulatory landscape requires a sophisticated platform that is not only comprehensive but also user-friendly and enables seamless analysis and document comparison in the legal realm. T...
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Deep Neural Networks have spearheaded remarkable advancements in time series forecasting (TSF), one of the major tasks in time series modeling. Nonetheless, the non-stationarity of time series undermines the reliabili...
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Approximate adders have emerged as promising solutions in facilitating error-tolerant computing applications where a degree of imprecision is acceptable. Approximate adders offer significant improvements in terms of a...
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ISBN:
(数字)9798350377088
ISBN:
(纸本)9798350377095
Approximate adders have emerged as promising solutions in facilitating error-tolerant computing applications where a degree of imprecision is acceptable. Approximate adders offer significant improvements in terms of area utilization and power consumption compared to their exact counterparts. This paper proposes a novel design of an 8-bit CMOS approximate adder that utilizes a 6-bit least significant inaccurate sub-adder using approximate full adder (AFA) and copy adder with an error reduction unit (ERU). The implementation results demonstrate that our proposed approximate adder improves area, power, and delay by up to 20%, 9%, and 24%, respectively compared to the conventional AFA-based 8-bit adder while maintaining a low MED of 9.57.
This research aims to create a virtual reality-based practice system that simulates real-stage performance environments, assisting amateur dancers in overcoming stage fright and practicing group choreography that is d...
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Future SAE Level 4 and Level 5 autonomous vehicles will require novel applications of localization, perception, control and artificial intelligence technology in order to offer innovative and disruptive solutions to c...
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Foot ulcers are one of the chronic wounds commonly occurring in diabetic patients and are associated with a high risk of major or minor amputations. Evaluation and measurement of such wounds are done manually by exper...
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