In the rapidly evolving field of healthcare, accurate clinical predictions are paramount for effective disease management and treatment planning. This paper introduces a novel ensemble machine learning model that util...
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In this paper,we introduce a long-term follow-up specific individual searching(SIS)*** model introduces the concept of node search contributions by considering the characteristics of the network structure.A node searc...
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In this paper,we introduce a long-term follow-up specific individual searching(SIS)*** model introduces the concept of node search contributions by considering the characteristics of the network structure.A node search contribution indicates the ability of a certain node to correctly guide the search path and successfully complete an *** influencing factors of node search contributions have three components:the individual influence index,attribute similarity,and node search *** the basis of node search contributions and the PeopleRank idea,this paper proposes an SIS model based on node search contribution values and conducts comparison experiments with several mainstream SIS algorithms in three aspects:the search failure rate,the minimum number of search hops,and the search *** experimental results verify the advanced nature and operability of the model proposed in this paper,which presents theoretical and practical significance to the quantitative study of the SIS process.
Existing deep interactive segmentation methods only focus on the extraction of specific instance objects. When the target of interest to users is a category, existing methods have to perform more interactions. We take...
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Uric acid(UA)is a naturally antioxidant that is strongly associated with the development and progression of Parkinson's disease(PD).The purine diet is an important exogenous pathway that modulates blood UA *** bra...
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Uric acid(UA)is a naturally antioxidant that is strongly associated with the development and progression of Parkinson's disease(PD).The purine diet is an important exogenous pathway that modulates blood UA *** brain stimulation(DBS)is an important tool for PD *** study aimed to explore the effects of preoperative purine diet on the prognosis of patients with PD after ***-four patients with PD who underwent DBS were included in this study,and their clinical data,blood UA levels,and daily purine *** were followed up for improvement 1 year after *** found that patient higher purine intake was strongly associated with the rate of improvement after DBS and was a protective factor for patient *** purine intake from meat and seafood was significantly higher in the responsive patients than in the lessresponsive *** analysis showed that UA mediated 78%of the effect of purine intake on motor symptom improvement after *** summary,we observed that purine intake is strongly associated with the rate of improvement in motor symptoms after subthalamic nucleus-DBS in patients with *** study provides a reference for preoperative diet planning in patients with PD undergoing DBS.
Current electronic technology based on silicon is approaching its physical and scientific limits. Carbon-based devices have numer- ous advantages for next generation electronics (e.g., fast speed, low power consumptio...
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Current electronic technology based on silicon is approaching its physical and scientific limits. Carbon-based devices have numer- ous advantages for next generation electronics (e.g., fast speed, low power consumption and simple process), that when combined with the unique nature of the versatile allotropes of carbon elements, are creating an electronics revolution. Carbon electronics are greatly advancing with new preparations and sophisticated designs. In this perspective, representatives with various dimensions, e.g., carbon nanotubes, graphene, bulk diamond, and their extraordinary performance, are reviewed. The associated state-of-the-art devices and composite hybrid all-carbon structures are also emphasized to reveal their potential in the electronics field. Advances in commercial production have improved the cost effi-ciency, material quality, and device design, accelerating the promise of carbon materials.
Belief propagation(BP)decoding outputs soft information and can be naturally used in iterative *** list(BPL)decoding provides comparable error-correction performance to the successive cancellation list(SCL)*** this pa...
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Belief propagation(BP)decoding outputs soft information and can be naturally used in iterative *** list(BPL)decoding provides comparable error-correction performance to the successive cancellation list(SCL)*** this paper,we firstly introduce an enhanced code construction scheme for BPL decoding to improve its errorcorrection ***,a GPU-based BPL decoder with adoption of the new code construction is ***,the proposed BPL decoder is tested on NVIDIA RTX3070 and *** results show that the presented BPL decoder with early termination criterion achieves above 1 Gbps throughput on RTX3070 for the code(1024,512)with 32 lists under good channel conditions.
Over the years, Cloud computing is becoming increasingly popular due to the continually changing technology. The primary goal of the cloud computing network is to offer consumers pay-per-use usage of on-demand process...
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The evolution of healthcare from its early beginnings to the recent healthcare 4.0 revolution has remarkably improved human life and living standards. The integration of emerging technologies has played a pivotal role...
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N^(6)-Methyladenine is a dynamic and reversible post translational modification,which plays an essential role in various biological *** of the current inability to identify m6A-containing mRNAs,computational approache...
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N^(6)-Methyladenine is a dynamic and reversible post translational modification,which plays an essential role in various biological *** of the current inability to identify m6A-containing mRNAs,computational approaches have been developed to identify m6A sites in DNA *** to improve prediction performance,we introduced a novel ensemble computational approach based on three hybrid deep neural networks,including a convolutional neural network,a capsule network,and a bidirectional gated recurrent unit(BiGRU)with the self-attention mechanism,to identify m6A sites in four tissues of three *** a total of 11 datasets,we selected different feature subsets,after optimized from 4933 dimensional features,as input for the deep hybrid neural *** addition,to solve the deviation caused by the relatively small number of experimentally verified samples,we constructed an ensemble model through integrating five sub-classifiers based on different training *** compared through 5-fold cross-validation and independent tests,our model showed its superiority to previous methods,im6A-TS-CNN and iRNA-m6A.
With Artificial Intelligence and Machine Learning (ML) on the rise, organisations of different scales and nature are looking to utilise ML systems to support their day-to-day operations. Many enterprises find it diffi...
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