Specific Emitter Identification Method for Limited Samples via Time–Wavelet Spectrum Consistency by Chunyang Tang, Jing Lian, Li Zheng, Rui Gao

“…Then, we use complex-valued neural networks (CVNNs) and deep convolutional neural networks (DCNNs) to extract the hidden emitter identity features from the time and wavelet spectrum samples. We train the model using the normalized temperature-scaled cross-entropy (NT-Xent) loss and cross-entropy (CE) loss, ensuring the consistency of feature vector distributions across the two modalities with cosine loss. …”
Get full text

Improving Performance of the Convolutional Neural Networks for Electricity Theft Detection by using Cheetah Optimization Algorithm by Hassan Ghaedi, Seyed Reza Kamel Tabbakh, Reza Ghaemi

“…Today, electricity theft is one of the main challenges for energy distribution and transmission companies around the world. …”
Get full text

Establishing the best step-up treatments for children with uncontrolled asthma despite inhaled corticosteroids: the EINSTEIN systematic review, network meta-analysis and cost-effec... by Sofia Cividini, Ian Sinha, Giovanna Culeddu, Sarah Donegan, Michelle Maden, Katie Rose, Olivia Fulton, Dyfrig Hughes, Stephen Turner, Catrin Tudur Smith

“…The between trial variance was assumed to be constant across all comparisons in the network. Inconsistency models and sensitivity analyses to explore the impact of exacerbation data collection approach and data availability bias were carried out, and we created dev–dev plots. …”
Get full text

Factors Affecting Vancomycin Trough Concentration; a Population Pharmacokinetic Model in Non-Critical Care Saudi Patients by Alqurain AA, Alrashidi LN, Aloraifej SK, Alkhalifah M, Alsayed HA, Abohelaika S, Alshabeeb MA, Aldhafeeri AS, Almuslim M, Bumozah TN, Alomar MJ, Alshehab AA, Alamer AA, Al-Matouq J, Bidasee KR, Alomar FA

“…The final Pop-PK model characterized vancomycin trough concentrations was one compartment distribution with linear elimination. …”
Get full text

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
Get full text

Computing ecosystem risk hotspots: A mediterranean case study by Gianpaolo Coro, Laura Pavirani, Anton Ellenbroek

“…Traditional approaches evaluate single stressors, whereas complex models assess cumulative impacts of frequently interacting stressors and offer better accuracy at the expense of low cross-area re-applicability and long implementation times.We introduce a versatile, re-useable, and semi-automated workflow designed for big data-driven ecosystem risk assessment, utilising spatiotemporal data from open repositories. …”
Get full text

Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

“…By harmonising multi-scale SAR time series with agro-meteorological data, this approach advances transferable methods for operational crop monitoring, supporting precision agriculture and regional yield assessment beyond localised models.…”
Get full text

Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…Subsequently, a low-rank and sparse representation model is employed to construct background dictionaries, low-rank coefficient matrices for the background, and sparse anomaly matrices, enabling effective spatial information utilization for detecting anomalous targets. …”
Get full text

A novel telomere-associated genes signature for the prediction of prognosis and treatment responsiveness of hepatocellular carcinoma by Kuo Kang, Hui Nie, Weilu Kuang, Xuanxuan Li, Yangying Zhou

“…The expression and distribution of 18 TRGs in HCC were further validated through single-cell and spatial transcriptomics data. …”
Get full text

First Evidence for Multiple‐Harmonic Standing Alfvén Waves in Jupiter's Equatorial Plasma Sheet by H. Manners, A. Masters

Get full text

Intelligent identification of the acoustic emission characteristics and crack propagation states during of coal failure based on the NRBO-XGBoost model by Tianjun ZHANG, Xinshuang CAO, Shuang SONG, Suinan HE, Yilun XUE, Guoying LIU, Juntao CHEN

“…Establishing prediction models based on the measured acoustic emission data allows for the monitoring and early warning of dynamic hazards of coals.…”
Get full text

Basis Recovery Method for Ionospheric Delay Corrections in PPP-RTK Model with Recommendations for Interpolation Reference Station Number Selection by Siyao Wang, Runzhi Zhang, Rui Tu, Lihong Fan, Xiaochun Lu

“…Under normal conditions (terrain is relatively flat and the atmospheric conditions are inactive) where reference stations are approximately evenly distributed in all directions, and using low-order surface interpolation model, for networks with 50 km spacing, four or five reference stations are recommended, while for 100 km networks, six or seven stations are enough to calculate precise corrections. …”
Get full text

Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java by Bambang Semedi, Novia Fara Diza, Syarifah Hikmah Julinda Sari, Dewa Gede Raka Wiadnya, Tri Djoko Lelono, Daduk Setyohadi, Ledhyane Ika Harlyan, Muhammad Arif Rahman, Ming-An Lee

“…The modeling process used 80% of the data, while the remaining 20% was used to validate the model results. …”
Get full text

Sequential SAR-to-Optical Image Translation by Jingbo Wei, Huan Zhou, Peng Ke, Yaobin Ma, Rongxin Tang

“…A variational autoencoder is employed to encode and decode images, enabling the diffusion model to learn the distribution of features within optical image sequences. …”
Get full text

Hydrodynamic simulation experiment of tidal pump in strait waters by W.S. Pranowo, K. Malik, D. Adrianto, A. Kurniawan

“…The simulation covered a nine-day period, with a focus on tidal patterns and their influence on vertical currents. Model validation was conducted using statistical measures, ensuring strong correlation and minimal error between simulation results and field data.FINDINGS: The study revealed that during high tide, upward currents (upwelling) were observed with speeds ranging from 0.00004 to 0.00016 meters per second, while during low tide, downward currents (downwelling) occurred with speeds between around -0.00004 meters per second. …”
Get full text

Disentangling Safety Culture’s Role in Reducing Cesarean Overuse: Creating a Revised Labor Culture Survey by Emily White Vangompel, Lavisha Singh, Jin-Shei Lai, Francesca Carlock, Jill Brown, Lisa Kane Low

Get full text

Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

“…WMPA leverages historical information from the FL process to forecast the next round’s global model as a reference. This reference model is then used to generate an adversarial local model characterized by low accuracy but minimal perturbation. …”
Get full text

Investigating the Physical Properties of Dusty Star-forming Galaxies at z ≳ 1.5 in the GOODS-South Field Using JWST by Dipanjan Mitra, Mattia Negrello, Gianfranco De Zotti

“…Using the model and the JADES survey strategy, we simulated a sample of protospheroids over 87.5 arcmin ^2 , matching the JADES/GOODS-S survey area. …”
Get full text

Conductive dendrite engineering of single-crystalline two-dimensional dielectric memristors by Yu Kang, Xingyu Zhai, Quan Yang, Baoshi Qiao, Zheng Bian, Haohan Chen, Huan Hu, Yang Xu, Ming Tian, Neng Wan, Wenchao Chen, Yang Chai, Yuda Zhao, Bin Yu

“…Generally, power reduction of memristors compromises data retention, a challenge known as the “power-retention dilemma,” due to the stochastic formation of conductive dendrites in resistive-switching materials. …”
Get full text

PENGEMBANGAN SOAL NUMERASI MODEL AKM KONTEN ALJABAR SUBDOMAIN RASIO DAN PROPORSI UNTUK JENJANG SMP DENGAN KONTEKS PERSONAL [DEVELOPING AKM MODEL NUMERACY PROBLEMS IN ALGEBRA CONTEN... by Filda Nur Aini, Dian Kurniati, Ervin Oktavianingtyas, Randi Pratama Murtikusuma, Lela Nur Safrida

“…The research type used in this study was Research and Development (R&D), with Thiagarajan's 4-D model chosen as the framework. The 4-D development model consists of four stages: define, design, develop, and disseminate. …”
Get full text