Hypertension, a life-threatening global health challenge, requires early detection to prevent severe cardiovascular complications. Fundus imaging reveals microvascular alterations, yet conventional diagnosis often misses subtle early changes. This study introduces a multimodal deep learning framewor...

In urban public transport networks, subway and bus systems complement each other and together form a coupled system that serves passenger travel. However, a disturbance in either subsystem can propagate through coupling nodes across the entire network, thereby reducing overall operational efficiency...

This paper proposes a dynamic programming (DP) approach for a stochastic multi-period allocation problem, whereby fleet of vehicles are assigned from stations to destinations with multiple alternative routes in order to maximize returns, while the vehicles are subject to random failure. In the proce...

This paper develops a general and implementation friendly stability framework for self-learning control (SLC) laws of the form $u(t)=k_1(t)u(t-\tau)+k_2 v(t)$. Uniform ultimate boundedness is established for a class of general linear plants under two engineering actuator assumptions: (i) smoothness...

RGB–thermal (RGB-T) salient object detection exploits complementary cues from visible and thermal sensors to maintain reliable performance in adverse environments. However, many existing methods (i) fuse modalities before sufficiently enhancing intra-modal semantics and (ii) are sensitive to modalit...

The article by Piffkó A et al. elucidates the double-edged sword role of radiotherapy in cancer treatment. Radiotherapy stimulates tumor cells to secrete amphiregulin (AREG), which in turn activates EGFR$^+$ tumor-associated mononuclear phagocytes (MNPs). This activation feeds back into the EGFR sig...

To address the challenge of traditional models in simultaneously capturing local fluctuations and global trends for air pollutant concentration prediction, this paper proposes a multimodal deep learning model named MLP-BiLSTM- MHAT. The model integrates static features via MLP, extracts temporal dep...

The rapid proliferation of smart home IoT devices has introduced unprecedented cybersecurity vulnerabilities, necessitating scalable and privacy-preserving intrusion detection systems (IDS). Federated Learning (FL) offers a promising decentralized approach by training models locally without sharing...

(1) Objective: This study aims to examine the relationships between college students' cell phone addiction, anxiety, and depression, and to explore the mediating role of anxiety in the association between cell phone addiction and depression. (2) Methods: Data were statistically analyzed using SPSS a...

Photosystem II (PSII) repair is a fundamental physiological process governing the resilience of photosynthetic organisms against high light (HL) stress. A recent study by Yao et al. (2025) provides significant mechanistic insights into this process within the model green alga Chlamydomonas reinhardt...