查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - We tend toseparate the brain and muscle-the brain does the thinking; the muscle does the doing. The brain takes incomplex information about the world, makes decisions, while muscle merely executes. This brain-muscleseparation has also shaped how we think about the processes within a single cell; some molecules withincells are seen as ‘thinkers’ that take in information about the chemical environment and decide what thecell needs to do for survival; separately, other molecules are seen as the ‘muscle’, building structures neededfor survival.
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - New researchon Laryngeal Diseases and Conditions-Voice Disorders is the subject of a report. According to newsoriginating from Taipei, Taiwan, by NewsRx correspondents, research stated, “Voice disorders significantlycompromise individuals’ ability to speak in their daily lives. Without early diagnosis and treatment, thesedisorders may deteriorate drastically.”Financial support for this research came from Far Eatsern Memorial Hospital.
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - New research onArtificial Intelligence is the subject of a report. According to news originating from Gyeongbuk, South Korea,by NewsRx correspondents, research stated, “Deep learning-based super-resolution ultrasound (DL-SRU)framework has been successful in improving spatial resolution and measuring the velocity field informationof a blood flows by localizing and tracking speckle signals of red blood cells (RBCs) without using anycontrast agents. However, DL-SRU can localize only a small part of the speckle signals of blood flowowing to ambiguity problems encountered in the classification of blood flow signals from ultrasound Bmodeimages and the building up of suitable datasets required for training artificial neural networks, aswell as the structural limitations of the neural network itself.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Networks. According to news reporting originating from Reno, Nevada, by NewsRxcorrespondents, research stated, “Deep neural networks (DNNs) have enabled recent advances in theaccuracy and robustness of video-oculography. However, to make robust predictions, most DNN modelsrequire extensive and diverse training data, which is costly to collect and label.”Funders for this research include Office of Experimental Program to Stimulate Competitive Research,NSF-Office of Integrative Activities (OIA).
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Data detailedon Networks have been presented. According to news originating from Beijing, People’s Republic of China,by NewsRx correspondents, research stated, “With the goal of predicting the future rainfall intensity ina local region over a relatively short period time, precipitation nowcasting has been a long-time scientificchallenge with great social and economic impact. The radar echo extrapolation approaches for precipitationnowcasting take radar echo images as input, aiming to generate future radar echo images by learning fromthe historical images.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorsdiscuss new findings in Networks. According to news reporting from Guangzhou, People’s Republic ofChina, by NewsRx journalists, research stated, “Immediate implant placement in the esthetic area requirescomprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-drivenmeasurements of quantitative indexes depend on segmentation or landmark detection, which require extralabeling of images and contain possible intraclass errors.”Funders for this research include National Natural Science Foundation of China (NSFC), NationalNatural Science Foundation of Guangdong Province, Guangdong Financial Fund for High-Caliber HospitalConstruction, International Team for Implantology (ITI) Research Grant, National Undergraduate TrainingProgram for Innovation and Entrepreneurship.
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Networks. According to news originating from Dublin, Ireland, by NewsRx correspondents,research stated, “Quantum neural networks have been explored in a number of tasks includingimage recognition. Most of the approaches involve using quantum gates in the neurons.”Our news journalists obtained a quote from the research from Trinity College Dublin, “Hybrid neuralnetworks combining classical and quantum layers are recently being studied. The goal of the hybridizationis to exploit the generalization benefits of quantum networks while reducing the requisite number of qubits.In this context, a Shallow Quantum Neural Network (SQNN) is proposed in this paper. Such architectureshave not been studied previously on image processing tasks. The SQNN is expected to be successful inimage classification tasks with limited training set size. Two types of SQNNs have been developed, these areResNet-SQNNs and VGG16-SQNNs. The SQNN models are applied to the problem of detection of surfacecracks on images. Introduction of hybrid classical-quantum layers in a typical pretrained neural networkmodel detects cracks with a greater validation accuracy as compared to classical Res-NNs and VGG16-NNs.Moreover, an entangled feature mapping has been incorporated with the parameterized quantum circuit inSQNNs. This outperforms classical approaches providing improved accuracy and training times.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Researchfindings on Energy Research-Energy Science and Engineering are discussed in a new report. According tonews originating from Huainan, People’s Republic of China, by NewsRx correspondents, research stated,“In response to the issues of traditional backpropagation (BP) neural networks in state of charge (SOC)estimation, including easy convergence to local optima, slow convergence speed, and low accuracy, thispaper proposes a novel adaptive crossover mutation strategy and dynamic sparrow search algorithm tooptimize BP networks’ initial values and thresholds (ACMSSA-BP). The proposed method is based on thesparrow search algorithm, where the number of producers and scroungers is adjusted through an adaptivefactor.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - A new studyon Engineering is now available. According to news originating from Incheon, South Korea, by NewsRxcorrespondents, research stated, “In the realm of neuromorphic computing, integrating Binary NeuralNetworks (BNN) with non-volatile memory based on emerging materials can be a promising avenue forintroducing novel functionalities. This study underscores the viability of lead-free, air-stable Cs2SnI6 (CSI)based resistive random access memory (RRAM) devices as synaptic weights in neuromorphic architectures,specifically for BNNs applications.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on artificial neural networks. According to news reporting out of Haryana, India, byNewsRx editors, research stated, “The growing popularity of soy proteins among vegans and vegetarians,owing to their high protein content and widespread availability, has led to scientific studies on its variousextraction methods mainly on ultrafiltration.”The news correspondents obtained a quote from the research from Indian Council of AgriculturalResearch (ICAR) National Dairy Research Institute: “This research employed artificial neural network(ANN) and Box-Behnken design (BBD) methodologies to predict the process parameters of ultrafiltrationfor the preparation of soy protein. Using BBD, the optimum process parameters of ultrafiltration wereidentified via the desirability function approach. The optimized permeate flux was 11.13 litres per hour(LPH) and 85.52% protein content in retentate. The identified ideal process parameters for ultrafiltrationto achieve maximal protein retention encompassed a 10 kDa membrane module, a transmembrane pressureof 117 kPa (17 PSI), a volume concentration ratio of 3.5, diafiltration set at 1, and a flow rate of 65%of the pump capacity, exhibiting an absolute percent error value of 2.81. Employing these refined processparameters, the predicted value for protein retentate stood at 80.49%.”
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