Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…To further evaluate immune microenvironmental features, unsupervised clustering was applied to identify immunological subgroups. …”
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Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions by Fhulufhelo Walter Mugware, Caston Sigauke, Thakhani Ravele

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Comparative Efficacy and Safety of Potassium-Competitive Acid Blocker– and Proton Pump Inhibitor–Based Bismuth Quadruple Therapy for Helicobacter pylori Eradication: A Network Meta... by Iqbal Taufiqqurrachman, Ari Fahrial Syam, Hasan Maulahela, Murdani Abdullah, Muhammad Miftahussurur, Yoshio Yamaoka

“…Therefore, tailored therapies based on local resistance patterns remain critical considerations in clinical practice.…”
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A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model by Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu

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Prevalence of infection and associated factors after intramedullary nailing in African countries with the Surgical Implant Generation Network program: A systematic review and meta-... by Destaw Endeshaw, Natnael Kebede, Abiyu Abadi Tareke, Ousman Adal, Eyob Getachew, Asnake Gashaw Belayneh, Getnet Alemu Andargie, Kedir Seid, Gebeyehu Lakew, Amlaku Nigusie Yirsaw, Mitiku Tefera, Eyob Ketema Bogale, Tadele Fentabel Anagaw, Eneyew Talie Fenta

“…Objective: To assess the prevalence of infection and associated factors after Surgical Implant Generation Network nailing in African countries with the Surgical Implant Generation Network program. …”
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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…Furthermore, we examine the Peak Timing Error and Peak Magnitude Error to ascertain the models' proficiency in capturing essential epidemiological patterns. The Diebold-Mariano Test is used to statistically compare the predicting performance of models. …”
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Web-Biometrics for User Authenticity Verification in Zero Trust Access Control by Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi, Doudou Fall

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De Novo Design of Large Polypeptides Using a Lightweight Diffusion Model Integrating LSTM and Attention Mechanism Under Per-Residue Secondary Structure Constraints by Sisheng Liao, Gang Xu, Li Jin, Jianpeng Ma

“…By integrating a lightweight LSTM-attention neural network as the denoiser within a diffusion framework, PPD offers an innovative and efficient approach to polypeptide generation. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Low-level features are extracted using the modified Multiscale Multiangle Completed Local Binary Pattern (MSMA-CLBP) algorithm to capture local contexture features, while high-level features are obtained through a hybrid CNN structure combining pretrained networks (Alexnet, Caffenet, VGG-S, VGG-M, VGG-F, VGG-VDD-16, VGG-VDD-19) and a fully connected dense network. …”
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Combination of artificial intelligence endoscopic diagnosis and Kimura‐Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastr... by Kumiko Kirita, Seiji Futagami, Ken Nakamura, Shuhei Agawa, Nobue Ueki, Kazutoshi Higuchi, Mayu Habiro, Rie Kawawa, Yusuke Kato, Tomohiro Tada, Katsuhiko Iwakiri

“…The trained neural network generated a continuous number between 0 and 1 for gastric atrophy. …”
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Three-Dimensional Analysis of Seepage in Fractured Rock Masses and Evaluation of the Accuracy of Empirical Methods for Predicting Permeability in Cutoff Walls: A Case Study of Cham... by Alireza Baghbanan, Masoud Dararbi, Amirhosein Momeni, Ahmad Rahmani Shahraki, Amin Azhari

“…This study focuses on the investigation of the permeability of fractured rock masses and the design of a cutoff wall using numerical modeling techniques. The fracture network was modeled using the discrete element method (DEM) in the 3DEC software, considering the joint patterns specific to the region. …”
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Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…After 48 h, the spleen showed significant expression of the tissue‐specific gene expression patterns for NRAMP1 and IL8 in the cecum, spleen and liver. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

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A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Advances in molecular labeling techniques and optical imaging technologies have spurred extensive research into the patterns of long-range neuronal projections. However, mapping these projections incurs significant costs, as large-scale reconstruction of individual axonal arbors remains time-consuming. …”
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Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

“…We employed Morphological Spatial Pattern Analysis (MSPA) and Comprehensive Evaluation (CE) methods to identify ecological sources across different extents and grain sizes, while analyzing the influence of various factors on information transmission. …”
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LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm by Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim

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Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm by Fatemeh Hataminia, Anahita Azinfar

“…The sensitivity to neuron number in the hidden layers for DSLG was more pronounced compared to the PSLG pattern, and the mean square error (MSE) was calculated for this evaluation. …”
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Improving the Performance of Charge Trapping Memtransistor as Synaptic Device by Ti-Doped HfO₂ by Yu-Che Chou, Wan-Hsuan Chung, Chien-Wei Tsai, Chin-Ya Yi, Chao-Hsin Chien

“…We used NeuroSim simulator with multilayer perceptron and convolutional neural network models to evaluate the pattern recognition accuracy of neural network hardware accelerator using CTMTs as synaptic devices and benchmarked the performance of our CTMT with those of other types of synaptic devices.…”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The dataset was split into training (80%) and testing (20%) sets to evaluate the model’s performance. The proposed TF-CNN-BiLSTM model was designed with three core modules: 1) a Transformer encoder to capture long-term global dependencies via self-attention mechanisms; 2) a 1D CNN layer to extract localized price fluctuations; 3) a BiLSTM network to model bidirectional temporal relationships. …”

Forecasting arctic sea ice extent trend using time series models: NNAR, SARIMA and SARIMAX using the data prior to the COVID-19 pandemic by Benoit Ahanda, Türkay Yolcu, Rachel Watson

“…Abstract This research paper aims to examine the patterns of Arctic sea ice extent (ASIE) between 1979 and 2020 by using monthly data acquired from NSIDC. …”
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