Priority-Based Data Flow Control for Long-Range Wide Area Networks in Internet of Military Things by Rachel Kufakunesu, Herman C. Myburgh, Allan De Freitas

“…This study presents a priority-based data flow control protocol designed to optimize network performance under high-rate healthcare data conditions while maintaining overall system reliability. …”
Get full text

Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models. by Michelle F Craft, Andrea K Barreiro, Shree Hari Gautam, Woodrow L Shew, Cheng Ly

“…The coding of retronasal odors via coordinated spiking of neurons in the olfactory bulb (OB) is largely unknown despite evidence that higher level processing is different than orthonasal. To this end, we use multi-electrode array in vivo recordings of rat OB mitral cells (MC) in response to a food odor with both modes of stimulation, and find significant differences in evoked firing rates and spike count covariances (i.e., noise correlations). …”
Get full text

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…We live in an age where everything around us is being created. Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery processes. …”
Get full text

New data on biology of siberian cisco <i>Coregonus sardinella</i> (Coregonidae) from the Anadyr River by Alexander V. Shestakov

“…Besides, the data collected previously in 1987 and 1992 were processed with modern research techniques. …”
Get full text

RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
Get full text

Data transmission algorithm for mobile wireless sensor network based on power loss equalization control mechanism by Lijun LI, Fuquan ZHANG, Hongfei LIU

“…In order to solve the problem of synchronization addressing and the inadequacy of power interaction among nodes in the current mobile wireless sensor network,a new data transmission algorithm for mobile wireless sensor network was proposed.Firstly,the broadcast mechanism was adopted to realize synchronous control packet transmission and reduce the pressure caused by the synchronization flow to the addressing process.Then regional node flow valve control mechanism was used,and data traffic between sink nodes and regional node links were recorded and got by interception,flow link equalization was further adopted to promote traffic equalization.in the further step.Finally,the limited bandwidth based on wheel number-sink link jitter screening mode could be identified,and the transmission failure due to limited bandwidth was reduced.Simulation results show that compared with the bandwidth of the root zone node and widely used in limiting transmission algorithm,node link stability encoding algorithm and hierarchical encoding algorithm,the data transmission bandwidth can be improved,the packet loss rate can be reduced,and the practical needs can be better met.…”
Get full text

Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…It used methods such as box plots and Kalman filters to preprocess power data and used Fourier transform and long short-term memory (LSTM) network to extract data features. …”
Get full text

Categorizing E-cigarette-related tweets using BERT topic modeling by D. Murthy, S. Keshari, S. Arora, Q. Yang, A. Loukas, S.J. Schwartz, M.B. Harrell, E.T. Hébert, A.V. Wilkinson

Get full text

Technology Requirements for an Alamouti-Coded 100 Gb/s Digital Coherent Receiver Using 3 × 3 Couplers for Passive Optical Networks by Md. Saifuddin Faruk, David J. Ives, Seb J. Savory

Get full text

Analysis of Experimental Data from a Concentrating Parabolic Solar Plant and Comparison with Simulation Model Results by Giuseppe Canneto, Irena Balog, Primo Di Ascenzi, Giampaolo Caputo

“…The aim of the tests was the evaluation of the thermal power collected as a function of DNI, mass flow rate, and inlet temperature of molten salt; experimental data were compared with simulation results obtained using a heat transfer software model of the solar receiver.…”
Get full text

Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Guofu Zhao

Get full text

A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators by Seungcheon Shin, Minseok Kang, Jaemin Baek

“…Since the data bandwidth is set to be effective in learning process, it helps to provide high learning hit rate while significantly reducing time‐consuming tasks caused by trial and errors in any robot manipulators. …”
Get full text

Visual and Statistical Methods for Analysing Irregularity Data in Rolling Stocks – An Application on Turkey’s Freight Wagons Fleet by Ömür AKBAYIR, Serdar BENLİGİRAY, Ahmet ONAY

Get full text

Analysis of Long-Term Meteorological Observation for Weather and Climate Fundamental Data over the Northern Tibetan Plateau by Fangfang Huang, Weiqiang Ma

Get full text

中国卒中疾病负担与经济负担的整合分析 An Integrated Analysis of Disease Burden and Economic Burden of Stroke in China by 翟屹1，杨帆1，李天琪1，谢瑀婷1，刘改芬2 (ZHAI Yi1, YANG Fan1, LI Tianqi1, XIE Yuting1, LIU Gaifen2 )

“…Conclusions From 1990 to 2021, the age-standardized incidence rate, age-standardized death rate, and DALYs rate of stroke in China exhibited a downward trend. …”
Get full text

Experimental Study on Benchmarking Performance of Natural Circulation Flap Valve in DHR-400 by YU Song, ZHOU Ping, CHENG Daoxi, ZHAI Weiming, MA Xiaoyao, LI Ruizhi, XING Mingdi, GAO Weilong, GE Guangyuan, ZHANG Xuefeng, QI Xiaoguang, CHAI Baohua

“…However, the pressure difference is the main factor affecting the opening performance of the flap valve in the opening process. When the natural circulation flap valve is closed depending on jet flow or pressure difference, its critical jet flow rate of closing is about 41.6 kg/s. …”

Real-Time Phase Tracking Scheme With Mismatched-Basis Data for Phase-Coding Quantum Key Distribution by Dong Wang, Xiaotian Song, Liangjiang Zhou, Yibo Zhao

“…In this paper, we propose a single-photon level real-time phase tracking scheme using only the estimated quantum bit error rate (QBER) and mismatched-basis data to acquire the phase drift parameter instead of a phase scanning process or reference light pulses, without extra hardware or interrupting the transmission of quantum signals. …”
Get full text

Micro-Mobility Safety Assessment: Analyzing Factors Influencing the Micro-Mobility Injuries in Michigan by Mining Crash Reports by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…This research addresses these challenges by pioneering the integration of image-processing techniques with machine learning methodologies to analyze crash diagrams. …”
Get full text

Multi-Mode Face-to-Face and Telephone Approach to Data Collection in Health Surveys: A Scoping Review by Paulo Henrique Guerra, Letícia Aparecida Calderão Sposito, Daniel Umpierre, Alex Antonio Florindo

“…<b>Background/Objectives</b>: The present study aims to identify information from health research studies that have used a mixed-methods data collection approach, considering the combination of face-to-face and telephone interviews (referred to as the MMFT approach), specifically focusing on identifying themes, objectives, designs, populations involved, and implementation processes. …”
Get full text

Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection. by Blanca Vazquez, Nidiyare Hevia-Montiel, Jorge Perez-Gonzalez, Paulina Haro

“…In each multi-classification task, we assessed several classifiers, missing rates, and feature-selection methods. The best obtained accuracy was 92 ± 4% in training and 95% in the final test using a Gaussian Process Classifier with a missing rate of 50%. …”
Get full text