Comprehensive molecular analysis of 26 newly established human pancreatic ductal adenocarcinoma cell lines reveals two clusters with variating drug sensitivities by Ju Eun Maeng, Jae-Hyeon Kim, Soon-Chan Kim, Won-Gun Yun, Wooil Kwon, Youngmin Han, Do-Youn Oh, Sang Hyub Lee, Jin-Young Jang, Ja-Lok Ku

“…Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is a malignant form of cancer with the worst survival rate and an extremely low rate of response to treatments. …”
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

Management and outcomes of patients with obstructive jaundice from pancreatobiliary diseases in Rwanda by Zainab Ingabire, Aberra B. Hanna, Emile Sebera, Janvier Murayire, Gamal S. Mohamed, Eric Rutaganda, Felicien Shikama, Marie Solange Mukanumviye, Dyna Nyampinga, Innocenti Dadamessi, Kulwinder Dua, Redae Berhane

“…The overall procedures technical success rate was 82.61%; with PTBD success rate of 91.67%, surgical procedures showed higher success rate 100%, while ERCP had a success rate of 79.44%. …”
Get full text

High Seroprevalence of Toxocara Infection among Mentally Retarded Patients in Hormozgan Province, Southern Iran by Mostafa Omidian, Mariye Diyaleh, Ali Pouryousef, Habibollah Turki, Fattaneh Mikaeili, Bahador Sarkari

“…The elevated seroprevalence rate of toxocariasis in the current study indicates that these subjects constitute a high-risk group for Toxocara infection, which may be attributed to their behavioral patterns.…”
Get full text

Paleomagnetism in Lake Pannon: Problems, Pitfalls, and Progress in Using Iron Sulfides for Magnetostratigraphy by Nick A. Kelder, Karin Sant, Mark J. Dekkers, Imre Magyar, Gijs A. vanDijk, Ymke Z. Lathouwers, Orsolya Sztanó, Wout Krijgsman

“…Alternating field demagnetization cannot resolve the individual components: it yields polarities corresponding to the dominant component resulting in erratic polarity patterns. Interpretation of LT and HT components allows a reasonably robust magnetostratigraphic correlation to the geomagnetic polarity time scale with the base of PAET‐30 at ~8.4 Ma and its top at ~6.8 Ma (average sedimentation rate of ~30 cm/kyr). …”
Get full text

Spatio-temporal variability analysis for climatic factors in urban districts with statistical trend line data estimates for sustainable development by Saloni Mangal, Renu Dhupper, Maya Kumari, Vipan Kumar Verma, Deepak Kumar

“…The research analysis of temperature, precipitation, and other key climate indicators identifies patterns and trends crucial for sustainable urban development. …”
Get full text

Constitutive Study of Limestone Damage in Karst Areas under Acidic Dry-Wet Cycles by ZHANG Yan, YUAN Pu-long, HUANG Lan-tao

“…[Objectives] This study focuses on the damage patterns of limestone in karst regions under acidic dry-wet cycles, aiming to explore the effects of the coupled action of acidic environment and dry-wet cycles on the mechanical properties and damage mechanisms of limestone. …”
Get full text

Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

“…The proposed method achieves a low false positive rate of 1% for each class and a missed detection rate ranging from 0.02% for OWT to 0.04% for SI and SIT, along with an overall accuracy of 96.5% and an area under curve (AUC) value close to 1. …”
Get full text

Dimensional stabilization of 55%SiCp/Al composites by CUI Yan, LI Pengwei, LI Shuo, CAO Leigang, YANG Yue, LIU Yuan

“…According to the comparison of X-ray diffraction patterns， the thermal-cold cycling treatment after the solid solution can promote the precipitation of the strengthening phase of Al2Cu significantly.…”
Get full text

Morbidity, mortality, and risk factors associated with Theileria parva seropositivity in a longitudinal calf study, Narok, Kenya by Wyckliff Ngetich, George Karuoya Gitau, Tequiero Abuom Okumu, Gabriel Oluga Aboge, Daniel Muasya

“…The cumulative incidence rate was 37 cases per 100 calf-years with higher incidence rate in agro-pastoral system. …”
Get full text

Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

“…The study identified three key factors—baseline disease counts, self-rated Activities of Daily Living (ADL), and self-rated health status—as critical predictors of multimorbidity trajectories.…”
Get full text

Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment by Guanqiang Zuo, Wanqi Mei, Naijie Feng, Dianfeng Zheng

“…In this study, we applied random forest machine learning with variable importance measures to quantify the relative importance of key physiological traits - including photosynthetic rate (Pn), photosynthetic performance index (PIabs), electron transport rate (ETR), maximum photosystem II efficiency (Fv/Fm), superoxide dismutase (SOD) activity, and malondialdehyde (MDA) content- in rice subjected to NaCl (0.3%) and Prohexadione-Calcium (PCa) co-treatment. …”
Get full text

How key features of early development shape deep convective systems by Sophie Abramian, Caroline Muller, Camille Risi, Thomas Fiolleau, Rémy Roca

“…Those systems can have large cloud shields, and thus not only affect severe precipitation patterns but also play a crucial part in modulating the tropical radiation budget. …”
Get full text

A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Also, it can provide insights into infection patterns, allowing practitioners to adapt their responses. …”
Get full text

COVID-19 global risk evaluation: rankings, reducing surveillance bias, and infodemic by Michał P. Michalak, Elżbieta Węglińska, Agnieszka Kulawik, Jack Cordes, Michał Lupa, Andrzej Leśniak

“…Conversely, the case fatality rate exhibited only a weak positive correlation with probabilistic metrics, though these correlations were not consistently statistically significant. …”
Get full text

Glycolysis/gluconeogenesis specialization in microbes is driven by biochemical constraints of flux sensing by Severin Josef Schink, Dimitris Christodoulou, Avik Mukherjee, Edward Athaide, Viktoria Brunner, Tobias Fuhrer, Gary Andrew Bradshaw, Uwe Sauer, Markus Basan

“…Moreover, decreasing both lag times simultaneously comes at the cost of reduced growth rate or higher futile cycling between metabolic enzymes. …”
Get full text

Assessment of the hilsa breeding ground in Meghna River estuary, Bangladesh for sustainable conservation by Md Anisur Rahman, Md Mehedi Hasan Pramanik, Md Monjurul Hasan, Flura, Rumana Yasmin, Yahia Mahmud

“…Additionally, the study monitored the spent rate and maturity stages of hilsa, demonstrating the effectiveness of conservation initiatives. …”
Get full text