Conventional KPCA Approach Applied to Detect Simulated Faults in PV Systems Using Simulated Data by Charlène Bernadette Lema, Steve Perabi Ngoffe, Francelin Edgar Ndi, Grégoire Abessolo Ondoua, Salomé Ndjakomo Essiane

“…The proposed method employs KPCA, a machine learning technique adept at identifying patterns in complex data. By utilizing statistical metrics in a feature space generated by KPCA, potential faults in PV system performance data are flagged. …”
Get full text

Trends in atrial fibrillation and flutter mortality associated with disorders of thyroid gland in the United States from 1999 to 2020 by Shahzaib Ahmed, Shoaib Ahmad, Hamza Ashraf, Eeman Ahmad, Umar Akram, Abbas H. Mallick, Irfan Ullah, Raheel Ahmed, Chadi Alraies, Gregg C. Fonarow

“…Methods Age‐adjusted mortality rates and crude rates per 100,000 population from 1999 to 2020 using the CDC WONDER database. …”
Get full text

The effect of COVID-19 vaccination on change in contact and implications for transmission by Carol Y. Liu, Aaron Siegler, Patrick Sullivan, Samuel M. Jenness, Stefan Flasche, Benjamin Lopman, Kristin Nelson

“…Contact rates universally increased across survey rounds among all sociodemographic groups, but unvaccinated individuals had persistently higher contact rates. …”
Get full text

Mutations associated with resistance to rifampicin and isoniazid identified in strains of the Mycobacterium tuberculosis complex by GenoType MTBDRplus in Panama, 2015–2021 by Juan Domínguez González, Juan Castillo Mewa, Prudencio González, Pedro Del Cid, Jacinto Ariel Pérez Ruíz, Samantha Eunice Rosas Hermosilla

“…ABSTRACT Tuberculosis is one of the diseases causing high rates of morbidity and mortality in several countries. …”
Get full text

Penicillin remains an effective agent against Group A Streptococcus in low- and middle-income countries: A systematic review and meta-analysis of antibiotic resistance and associat... by K Rampersadh, T Salie, K Engel, C Moodley, M Engel

“…Differences were observed in resistance patterns across emm types, with emm1, emm12 and emm60 showing higher resistance rates to tetracycline and erythromycin. …”
Get full text

Construction and Brain Validation of circRNAs-miRNAs-mRNAs Regulatory Axis in Early-Onset Schizophrenia by Zhang X, Li Z, Li R, Wang X, Liu H, Du X, Gao Y, Liu S, Xu Y

“…This study aimed to investigate the regulatory patterns and brain validation of circular RNAs-microRNAs-messenger RNAs in early-onset schizophrenia.Methods: Differentially expressed circular RNAs and microRNAs were identified in blood samples from 32 patients with early-onset schizophrenia and 29 healthy controls. …”
Get full text

Antibiotic resistance profiles and risk factors of multidrug-resistant Escherichia coli in a large tertiary care hospital in a low- and middle-income country by Nour Mousa, Banan M. Aiesh, Ruba Jomaa, Yousef Zouneh, Ashraqat Namrouti, Adham Abutaha, Samah W. Al-Jabi, Ali Sabateen, Sa’ed H. Zyoud

“…The E. coli group presented the highest prevalence of urine cultures (47.9%), with substantial variations in resistance patterns among the species. The rates of resistance to cephalosporins and ciprofloxacin increased (67.7%). …”
Get full text

SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
Get full text

AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
Get full text

Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
Get full text

Breaking the Standard: Can Oxford Nanopore Technologies Sequencing Compete With Illumina in Protistan Amplicon Studies? by Dana Bludau, Guido Sieber, Manan Shah, Aman Deep, Jens Boenigk, Daniela Beisser

“…While Illumina still dominates the sequencing market and offers high accuracy with low error rates, it is limited by shorter read lengths. ONT provides much longer reads, allowing for greater taxonomic resolution but at the cost of higher error rates. …”
Get full text

Excess and reduced work absence during COVID-19 in Poland: insights from cause-specific time-series models by Błażej Łyszczarz, Jakub Wojtasik

“…Results We observed notable deviations in work absence rates during the pandemic period (until the end of Q1-2022). …”
Get full text

Occupation, displacement, and violence in the West Bank: A retrospective analysis of data from 2014-2024. by Sarah Aly, Fatima Mossolem, Ayeh Khalil, Tushara Surapaneni, Abd Al-Rahman Traboulsi, Waleed Aldadah, Eleanor Reid, Shakoor Hajat

“…Refugee camps had increased death rates: IRR = 7.91 (5.26, 11.89; p < 0.0001) compared to non-refugee camp populations. …”
Get full text

Osseointegration potential of boron-coated titanium alloy pedicle screw in rabbit spine model by Hidir Ozer, Mehdi Hekimoğlu, Ibrahim Kulac, Ozgur Can Eren, Yeliz Kasko Arici, Haydar Çelik, Ali Fahir Ozer

“…This study aimed to achieve better osseointegration rates by utilizing the ability of boron compounds to transform stem cells in the vertebra into osteoblasts. …”
Get full text

Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
Get full text

Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
Get full text

A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
Get full text

Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
Get full text

Gastric Cancer Mortality in Ceará in Brazil’s Northeastern, 2000-2022: Spatio- Temporal Study by Lucia Libanez Bessa Campelo Braga, Helio De Almeida Nobre Junior, Jorg Heukelbach, Anderson Fuentes Ferreira, Ana Suzete Lopes, Edson Luiz de Oliveira, Vitor de Sousa Tomé, Taynara Lais Silva, Daniele Calheiros Campelo Maia, Alberto Novaes Ramos Júnior

“…Objective: To analyze temporal trends and spatial patterns of GC mortality over a 23-year period in Ceará. …”
Get full text

Genomic data suggest parallel dental vestigialization within the xenarthran radiation by Emerling, Christopher A, Gibb, Gillian C, Tilak, Marie-Ka, Hughes, Jonathan J, Kuch, Melanie, Duggan, Ana T, Poinar, Hendrik N, Nachman, Michael W, Delsuc, Frédéric

“…As such, the analysis of gene degradation patterns has the potential to provide insights into the evolutionary history of regressed anatomical traits. …”
Get full text