Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability by Săseanu Ramona, Stanomir Ruxandra, Bădulescu Andreea-Alexandra

“…By employing a time-series autoregressive moving-average model, this article assesses the stationarity and autocorrelation of audience data to evaluate the consistency of ratings amidst external factors such as changes in programming strategy, political events, and market competition. …”
Get full text

LOBE-SPECIFIC METASTASIS IN NON-SMALL CELL LUNG CANCER by A. A. Aksarin, M. D. Ter-Ovanesov, A. A. Mordovsky, S. M. Kopeyka, P. P. Troyan

“…The overall 5-and 10-year survival rates in patients with stage I–III NSCLC with SND were 61.5 % and 49.2 %, respectively. …”
Get full text

Optimizing the train timetable in a high-speed rail corridor: The implications on departure time, fare cost and seat preference of passengers. by Zhipeng Huang, Limin Yang, Jinlian Li, Tao Zhang, Zixian Qu, Yusen Miao

“…However, this approach often overlooks individual passenger preferences for departure times, fares, and seat classes, leading to low occupancy rates for some trains while others remain difficult to book. …”
Get full text

Quantitative control of organ shape by combinatorial gene activity. by Min-Long Cui, Lucy Copsey, Amelia A Green, J Andrew Bangham, Enrico Coen

“…By integrating these observations with known gene expression patterns and interactions, we arrive at a combinatorial scheme for how regional effects on shape are genetically controlled. …”
Get full text

A GPT-Based Approach for Cyber Threat Assessment by Fahim Sufi

“…Notably, anomaly detection identified six significant deviations during the monitored timeframe, starting from 25 September 2023 to 25 November 2024, with a sensitivity of 75%, revealing critical insights into unusual activity patterns. The fully deployed automated model also identified 11 correlated factors and five unique clusters associated with high-rated cyber incidents. …”
Get full text

An Enhanced Fractional Open Circuit Voltage MPPT Method for Rapid and Precise MPP Tracking in Standalone Photovoltaic Systems by Muhannad J. Alshareef

“…The simulation findings reveal that this new method surpasses studied methods by achieving faster convergence within 0.08 s and slightly higher efficiency rates of up to 99.8% under different irradiance conditions. …”
Get full text

What Motivates Companies to Take the Decision to Decarbonise? by Stefan M. Buettner, Werner König, Frederick Vierhub-Lorenz, Marina Gilles

“…For instance, long-term cost risks were rated more relevant than reputational gains or regulatory compliance. …”
Get full text

Agricultural land-use change seasonally rewires stream food webs: a case study from headwater streams in the Lake Erie watershed by Marie K. Gutgesell, Matthew M. Guzzo, Kevin S. McCann

“…Human impacts, like agricultural land-use change, alter natural patterns of resource availability and consumer response through space and time threatening the stability of ecosystems. …”
Get full text

Analysis of the impact of the absence of RAD51 strand exchange activity in Arabidopsis meiosis. by Gunjita Singh, Olivier Da Ines, Maria Eugenia Gallego, Charles I White

“…Although the presence of RAD51 protein provides essential support for the action of DMC1, our results show no significant effect of the absence of RAD51 strand-exchange activity on meiotic crossing-over rates or patterns in different chromosomal regions or across the whole genome of Arabidopsis, strongly supporting the argument that DMC1 catalyses repair of all meiotic DNA breaks, not only non-sister cross-overs.…”
Get full text

Phonological development in 3-5 years old Bahdini Kurdish-speaking children by Aveen Mohammed Hasan, Rezheen Salih Ahmed

“… Studying phonological development is crucial for understanding linguistic patterns, supporting language perservation, educational development and clinical practice. …”
Get full text

Consensus guidelines for the management of intracranial ependymoma for low- and middle-income countries by Ahsan Ali Khan, Muhammad Usman Khalid, Mohammad Hamza Bajwa, Izza Tahir, Shahier Paracha, Muhammad Shakir, Bilal Mazhar Qureshi, Naureen Mushtaq, Ahmed Gilani, Pakistan Brain Tumour Consortium: (Authors list at the end of the supplement), Syed Ather Enam.

“…Acknowledging the distinctepidemiological patterns of ependymomas, notably theirhigher incidence in paediatric patients, and variablesurvival rates, these guidelines emphasize tailoredmanagement approaches for different age groups. …”
Get full text

Analysis and Research on Associated Elements Nb, Zr, Ga and Sc in Sedimentary Rare Earth Ores by Shujun LIU, Lu XU, Daxing GONG, Jianchun YI, Chaohui ZHAO

“…A preliminary exploration of their distribution patterns during selective leaching processes was also conducted. …”
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

Exposure-Sensitivity-Adaptability (ESA) framework based evaluation and characteristics analysis of urban disasters vulnerability in China by Rui Zhang, Anli Jiang, Linlin Jiang

“…Analysis reveals distinct spatial patterns: eastern cities show 35% lower vulnerability scores compared to central and western regions, forming a clear vulnerability gradient. …”
Get full text

Design and Testing of Miniaturized Electrically Driven Plug Seedling Transplanter by Meng Chen, Yang Xu, Changjie Han, Desheng Li, Binning Yang, Shilong Qiu, Yan Luo, Hanping Mao, Xu Ma

“…In the field test, at three transplanting speeds of 80 plants/min, 100 plants/min, and 120 plants/min, the transplanting success rates were 94.17%, 90.83%, and 88.33%, respectively. …”
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