What sizes of droplets contribute to long-range airborne transmission? by Pan Cheng, Wei Jia, Li Liu, Hui-Ling Yen, Yuguo Li

“…The size range of respiratory droplets contributing to long-range airborne transmission of infections determines the targeted intervention methods. …”
Get full text

Raya: A Bio-Inspired AUV for Inspection and Intervention of Underwater Structures by Pedro Pereira, Renato Silva, Joao V. Amorim Marques, Raul Campilho, Anibal Matos, Andry Maykol Pinto

“…This work presents a bio-inspired Autonomous Underwater Vehicle (AUV) concept called Raya that enables high manoeuvrability required for close-range inspection and intervention tasks, while fostering endurance for long-range operations by enabling efficient navigation. …”
Get full text

A research agenda for malaria eradication: vector control. by malERA Consultative Group on Vector Control

“…In each setting, improved control for reduction of morbidity is a necessary first step towards the long-range goal of malaria eradication and a priority for regions where the disease burden is high. …”
Get full text

Healthy Air for Children by Er Ding

“…Future research should explore hybrid systems, optimize designs, and validate interventions through real-world infection risk assessments to create healthier, more resilient classrooms. …”
Get full text

Detection of Student Engagement via Transformer-Enhanced Feature Pyramid Networks on Channel-Spatial Attention by A. Naveen, I. Jeena Jacob, Ajay Kumar Mandava

“…Additionally, by incorporating the Transformer architecture, the model achieves better overall performance by effectively capturing long-range dependencies and semantic relationships within the input sequences. …”
Get full text

pH-Responsive Nanophotosensitizer Boosting Antibacterial Photodynamic Therapy by Hydroxyl Radical Generation by Peilin Tian, Xianyue Bai, Jing Feng, Luyao Xu, Shihao Xu, Xiaoya Yu, Caiju Fan, Qian Su, Jiaxing Song, Cuixia Lu

“…These findings collectively establish a microenvironment-adaptive nanoplatform for precision antimicrobial interventions, providing a translational strategy to address drug-resistant infections.…”
Get full text

Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Najmul Hassan, Koki Hirooka, Yoichi Tomioka

“…Accurate fall detection is crucial for timely intervention and injury prevention, which has led many researchers to work on developing effective detection systems. …”
Get full text

Decoding the Bite: Sensory cues, host heterogeneity, and pathogen manipulation in mosquito host-seeking behavior by Ran Zhang, Rui Han, Shuairu Jiao, Xiuyun Wang, Guizhi Xu, Fanghang He, Chengsheng Peng, Qilong Wu, Shengqun Deng

“…Mosquitoes locate hosts via a suite of sensory cues: long-range attraction to CO2, followed by visual, thermal, and close-range olfactory cues. …”
Get full text

A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue by Yan Wu, Yan Wu, Yan Wu, TianQi Mu, SongNan Qu, XiuJun Li, XiuJun Li, XiuJun Li, Qi Li, Qi Li, Qi Li

“…The proposed model addresses the limitations of traditional methods by enabling end-to-end automated feature extraction and classification, eliminating the need for manual intervention. The integration of a transformer module and channel attention mechanism significantly enhanced the model’s ability to capture long-range dependencies and adaptively weight hemodynamic features, respectively. …”
Get full text

Design and Implementation of a Scalable LoRa-Based IoT Irrigation System with Dual Control Mechanisms by Salahedin Rehan, Esra Alhame, Esra Hassan

“…By employing Long Range technology for extended communication distances and MQTT (Message Queuing Telemetry Transport) for efficient cloud connectivity, the system supports reliable, low-power operation over distances of up to 5.76 kilometers. …”
Get full text

Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features by Armaano Ajay, Akshaj Singh Bisht, R. Karthik

“…Diabetic foot ulcers (DFU) are a common and serious complication of diabetes, often leading to severe health implications like limb amputation if left untreated. Timely intervention and treatment are crucial in mitigating the impact of DFU on patients’ well-being. …”
Get full text

Activity dependent degeneration explains hub vulnerability in Alzheimer's disease. by Willem de Haan, Katherine Mott, Elisabeth C W van Straaten, Philip Scheltens, Cornelis J Stam

“…Effects of ADD included oscillatory slowing, loss of spectral power and long-range synchronization, hub vulnerability, and disrupted functional network topology. …”
Get full text

Deep learning-based lung cancer classification of CT images by Mohammad Khalid Faizi, Yan Qiang, Yangyang Wei, Ying Qiao, Juanjuan Zhao, Rukhma Aftab, Zia Urrehman

“…By improving the accuracy and reliability of lung nodule classification, DCSwinB has the potential to assist radiologists in reducing diagnostic errors, enabling earlier intervention and improved patient outcomes.…”
Get full text

DB-Net: A Dual-Branch Hybrid Network for Stroke Lesion Segmentation on Non-Contrast CT Images by Xiao Jia, He Dong, Jiashu Xu, Yanhong Zhang, Yihua Lan

“…These limitations can lead to omissions, misdiagnoses, or inaccurate segmentations, directly impacting clinical assessment and timely intervention. To address these challenges, this study proposes a two-branch hybrid network combining a convolutional neural network (CNN) with a Transformer framework. …”
Get full text

Development of Autonomous Electric USV for Water Quality Detection by Chiung-Hsing Chen, Yi-Jie Shang, Yi-Chen Wu, Yu-Chen Lin

“…This design uses a modular structure, it is easy to maintain, and it supports long-range wireless communication. These features help to reduce operational and maintenance costs in the long term. …”
Get full text

A Novel Approach to the Prediction of Alzheimer’s Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model by Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian

“…Alzheimer’s disease (AD) presents a significant global health challenge, necessitating accurate and early prediction methods for effective intervention and treatment planning. In this work, a novel approach to meta-learning for the prediction of AD is proposed, which leverages the combined power of neural processes (NPs) and transformer architectures. …”
Get full text

DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection by Manal Alghieth

“…Abstract Real-time Electrocardiogram (ECG) anomaly detection is critical for accurate diagnosis and timely intervention in cardiac disorders. Existing models, such as CNNs and LSTMs, often struggle with long-range dependencies, generalization across multiple ECG patterns, and real-time inference with minimal latency. …”
Get full text

Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records by Mamadou Dia, Ghazaleh Khodabandelou, Syed Muhammad Anwar, Alice Othmani

“…Early and accurate detection is paramount for timely intervention, which can lead to improved treatment outcomes. …”
Get full text

Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…Conventional convolutional neural networks (CNNs), despite their success in medical imaging, face limitations in capturing the complex, long-range dependencies in coronary artery images due to their localized receptive fields. …”
Get full text

Optimising urban lighting efficiency with IoT and LoRaWAN integration in smart street lighting systems by Waheb A. Jabbar, Tan Keng Keat, Fares A. Dael, Lee Chee Hong, Yusra Farhana M. Yussof, Abdul Nasir

“…This paper presents the LoRaWAN-IoT-SSLS, an advanced automated streetlight control system that leverages IoT technology to achieve substantial energy savings and minimise the need for manual intervention. By employing LoRaWAN as the sensor network backbone, the system effectively addresses challenges related to long-range data transmission in IoT applications. …”
Get full text