Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…The fast change from 5G to 6G networks calls for extremely accurate network traffic prediction and effective resource allocation to meet rising data volumes and ultra-low latency requirements. …”
Get full text

Road Roughness Level Identification Based on BiGRU Network by Shuang Chen, Junjun Xue

“…Firstly, the vehicle vibration response data is attained by the ride comfort simulation of two-degree-of-freedom vehicle vibration model. …”
Get full text

Physical isolation is durably affecting the relationship between social bonds and economic inequality by Pingzhen Lu, Fangzhou Xia, Jinming Yan, Jianfu Shen, Eddie Chi Man Hui

“…Physical isolation is one of the most common physical structure in cities, mainly including gated communities and natural partitions. Cutting off the physical space objectively deprives social bonds and networks. …”
Get full text

Realistic behavioral model for ReRAMs capturing non-idealities by Gulafshan Gulafshan, Hongrong Hu, David Raber-Radakovits, Luke Vassallo, Gabriel Cadilha Marques, Jasmin Aghassi-Hagmann, Nima Taherinejad

“…The model has been fitted to experimental data from two types of real devices: vacuum-processed self-directed channel memristors and inkjet-printed electrochemical metallization memristors, showing good agreement with both datasets. …”
Get full text

An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy by Wenxing Hu, Yan Yue, Ruomei Yan, Lixin Guan, Mengshan Li

“…Additionally, our deep learning model integrates advanced neural network modules, including Multi-Dconv Head Transposed Attention, Gated-Dconv Feed-forward Network, Convolutional Neural Network, and Bidirectional Gated Recurrent Unit, to comprehensively exploit sequence features of lncRNA. …”
Get full text

The tech entrepreneur in Colombia: a discussion of actor-network-theory, Lacanian theory and social imaginaries by Sebastian Camilo Santisteban

“…Nevertheless, the discourses and cultural productions that shape this figure do not always adhere to empirical consequences and factual data, but in fact, are the result of some processes determined by the desires and dreams of those who construct and transmit it (entrepreneurs, entrepreneurship gurus and experts, advertisers, government agencies, etc.), as well as those who consume it (young people with entrepreneurial aspirations). …”
Get full text

An Augmented AutoEncoder With Multi-Head Attention for Tool Wear Prediction in Smart Manufacturing by Chunping Dong, Jiaqiang Zhao

“…The proposed method is validated on the 2010 PHM Data Challenge (PHM2010) public dataset. The original dataset is dimensionally reduced and then resampled. …”
Get full text

Value chain interventions for improving women's economic empowerment: A mixed‐methods systematic review and meta‐analysis by Suchi Kapoor Malhotra, Swati Mantri, Neha Gupta, Ratika Bhandari, Ralph Nii Armah, Hamdiyah Alhassan, Sarah Young, Howard White, Ranjitha Puskur, Hugh Sharma Waddington, Edoardo Masset

“…The review includes effectiveness studies (experimental and non‐experimental studies with a comparison group) and process evaluations. Data Collection and Analysis Two review authors independently assessed studies for inclusion, extracted data, critically appraised the studies, and synthesised findings. …”
Get full text

2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

“…The framework utilizes the model that provides the highest accuracy among optimized long short-term memory (LSTM), long short term memory with batch normalization (LSTM-BN), and gated recurrent unit (GRU) models on data preprocessed with the 2LE-ICEEMDAN denoising method. …”
Get full text

Complexity-Constrained Quantum Thermodynamics by Anthony Munson, Naga Bhavya Teja Kothakonda, Jonas Haferkamp, Nicole Yunger Halpern, Jens Eisert, Philippe Faist

“…The complexity entropy quantifies the resources required for data compression if the compression algorithm must use a restricted number of gates. …”
Get full text

Shaker/Kv1 potassium channel SHK-1 protects against pathogen infection and oxidative stress in C. elegans. by Longjun Pu, Jing Wang, Lars Nilsson, Lina Zhao, Chloe Williams, Guanqiao Chi, Jonathan D Gilthorpe, Simon Tuck, Johan Henriksson, Yi-Quan Tang, Sun Nyunt Wai, Changchun Chen

“…The Shaker/Kv1 subfamily of voltage-gated potassium (K+) channels is essential for modulating membrane excitability. …”
Get full text

Design and Simulation of a 6-Bit Successive-Approximation ADC Using Modeled Organic Thin-Film Transistors by Huyen Thanh Pham, Thang Vu Nguyen, Loan Pham-Nguyen, Heisuke Sakai, Toan Thanh Dao

“…Then, these organic TFTs (OTFTs) were modeled with support of an organic process design kit (OPDK) added in Cadence. The key specifications of the modeled elements were extracted from measured data, whereas the fitting ones were elected to replicate experimental curves. …”
Get full text

A morning-specific phytohormone gene expression program underlying rhythmic plant growth. by Todd P Michael, Ghislain Breton, Samuel P Hazen, Henry Priest, Todd C Mockler, Steve A Kay, Joanne Chory

“…Using circadian clock and light signaling mutants, we show that both internal coincidence of phytohormone signaling capacity and external coincidence with darkness are required to coordinate wild-type growth. From these data, we argue that the circadian clock indirectly controls growth by permissive gating of light-mediated phytohormone transcript levels to the proper time of day. …”
Get full text

Does behaviour matters the most in improving urban immunization coverage: exploring behavioural barriers in northern states of India by Pritu Dhalaria, Ayushi Agrawal, Jaideep Kumar, Ajeet Kumar Singh, Ashish Maurya, Syed Hassan, Bhupendra Tripathi, Arindam Ray, Sanjay Kapur

Get full text

Failure Management Overview in Optical Networks by Sergio Cruzes

“…The key ML techniques discussed include network kriging (NK) for performance estimation and failure localization, support vector machine (SVM) for classification tasks, convolutional neural networks (CNNs) for signal analysis and soft failure identification, and generative adversarial networks (GANs) for synthetic data generation and soft failure detection. It also explores the application of artificial neural networks (ANNs), autoencoders (AEs), Gaussian process (GP), long short-term memory (LSTM), and gated recurrent units (GRUs) in optical networks. …”
Get full text

An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

“…The result of each module is processed through the maximum operation, which selects the most pertinent data. …”
Get full text

Systematic Characterisation of the Fragmentation of Flavonoids Using High-Resolution Accurate Mass Electrospray Tandem Mass Spectrometry by Candy Jiang, Paul J. Gates

Get full text

State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework by Bohan Shao, Jun Zhong, Jie Tian, Yan Li, Xiyu Chen, Weilin Dou, Qiangqiang Liao, Chunyan Lai, Taolin Lu, Jingying Xie

“…This paper introduces a network architecture called CGMA-Net (Convolutional Gated Multi-Attention Network), which is designed to effectively address the issue of battery capacity degradation. …”
Get full text

An Innovative Small-Target Detection Approach Against Information Attenuation: Fusing Enhanced Programmable Gradient Information and a Novel Mamba Module by Yang Liu, Yatu Ji, Qingdaoerji Ren, Bao Shi, Na Liu, Min Lu, Nier Wu

“…Serious information loss often occurs when the input data undergoes the layer-by-layer feature extraction process through deep neural networks. …”
Get full text

Scientific review of protocols to enhance informativeness of global health clinical trials by B. Burford, T. Norman, S. Dolley

“…The Bill and Melinda Gates Foundation (BMGF), one of the largest funders of clinical trials, created a group called Design, Analyze, Communicate (DAC). …”
Get full text