Air pollution: a study of citizen's attitudes and behaviors using different information sources by Annalaura Carducci, Gabriele Donzelli, Lorenzo Cioni, Giacomo Palomba, Marco Verani, Giulia Mascagni, Giuseppe Anastasi, Luca Pardini, Elisabetta Ceretti, Tiziana Grassi, Elisabetta Carraro, Silvia Bonetta, Milena Villarini, Umberto Gelatti

“…After some weeks from this alarm, we tried to evaluate the citizen awareness and interest towards air pollution together with their positive behaviors, using different information sources. Methods: From September 2015 to March 2016, in parallel with the number of exceedances of the PM10 in Italy we evaluated the press coverage, the average monthly searches on Google and the interest on Twitter. …”
Get full text

Using computer vision to classify, locate and segment fire behavior in UAS-captured images by Brett L. Lawrence, Emerson de Lemmus

“…The ability to detect definable classes of fire behavior using computer vision has not been explored and could be helpful given it often dictates how firefighters respond to fire situations. …”
Get full text

A national survey-based method for monitoring noncommunicable disease risk factors among adolescents aged 15–17 years across India by Kalpanapriya D, Sadanandam Vemula

“…Information on dietary behaviors and alcohol use was also collected. As the first nationally representative survey focusing on adolescent NCD risk factors, the NNMS provides crucial baseline data to support India’s NCD Action Plan and inform future prevention and control strategies at national and sub-national levels. • This study presents the first nationally representative methodology to estimate NCD risk factors among Indian adolescents aged 15–17 years. • Multistage, community-based sampling design and digital data collection protocol ensured high coverage and data quality across 27 states. • The method is adaptable for state-level surveillance and supports national action plans for adolescent NCD prevention and control.…”
Get full text

Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring by Jérémy Creux, Najla Haje Obeid, Thierry Boileau, Farid Meibody-Tabar

“…Several approaches can be used to estimate or characterize this impedance behavior. …”
Get full text

Changes in antibiotic use associated with the National Centralized Drug Procurement policy in China from 2019 to 2023 by Fanyu Lin, Haoye Li, Siyuan Yao, Nannan Zhao, Keying Zhu, Jinxi Ding, Wei Li

Get full text

Design Principles of a Flat-Pack Electronic Sensor Kit with Intelligent User Interface Calibrations: A Case Study of Monitoring Sedentary Behavior in Workplace by Ananda Maiti, Vanessa Ward, Amy Hilliard, Anjia Ye, Scott J. Pedersen

“…We also discuss a software design algorithm that can be used to calibrate the newly constructed device. We only consider stationary devices and investigate the proposed devices and software with a sedentary behavior monitoring application. …”
Get full text

Behavioral Monitoring in Transient Ischemic Attack and Stroke Patients: Exploratory Micro- and Macrostructural Imaging Insights for Identifying Post-Stroke Depression with Accelero... by Stephanie J. Zawada, Ali Ganjizadeh, Bart M. Demaerschalk, Bradley J. Erickson

Get full text

In-hive flatbed scanners for non-destructive, long-term monitoring of honey bee brood, pathogens and pests by Parzival Borlinghaus, Jörg Marvin Gülzow, Richard Odemer

“…This study introduces a novel, non-destructive monitoring technique using a modified flatbed scanner integrated into a honey bee brood frame. …”
Get full text

The influence of socioenvironmental risk factors on risk-taking behaviors among Bahamian adolescents: a structural equation modeling analysis by Elizabeth Schieber, Ava Wang, Grace Ou, Carly Herbert, Hoa T. Nguyen, Lynette Deveaux, Xiaoming Li

“…Structural equation modeling examined relations among parental monitoring, environmental risk factors, behavioral intentions, and risk behaviors.Results Students had engaged in various delinquent, substance use, and sexual risks. …”
Get full text

Efficient dual-stream neural networks: A modeling approach for inferring wild mammal behavior from video data by Ao Xu, Zhenjie Hou, Jiuzhen Liang, Xing Li, Xinwen Zhou, Hongbo Geng

“…These results demonstrate the feasibility of automating animal behavior recognition using large datasets collected from modern monitoring devices. …”
Get full text

BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…Smart home technology enhances the quality of life, particularly with respect to in-home care and health monitoring. While video-based methods provide accurate behavior analysis, privacy concerns drive interest in non-visual alternatives. …”
Get full text

Advanced Electrochemical Monitoring of Carbendazim Fungicide in Foods Using Interfacial Superassembly of NRPC/NiMn Frameworks by Shakila Parveen Asrafali, Thirukumaran Periyasamy, Seong Cheol Kim, Jaewoong Lee

Get full text

Advancing Road Safety: A Comprehensive Evaluation of Object Detection Models for Commercial Driver Monitoring Systems by Huma Zia, Imtiaz ul Hassan, Muhammad Khurram, Nicholas Harris, Fatima Shah, Nimra Imran

“…This study introduces a lightweight, deep-learning-based ADMS tailored for real-time driver behavior monitoring, addressing practical barriers to enhance safety measures. …”
Get full text

Monitoring the coastal–offshore water interactions in the Levantine Sea using ocean color and deep supervised learning by G. Baaklini, J. Brajard, L. Issa, G. Fifani, L. Mortier, R. El Hourany

“…Here, we propose a new approach to monitor the interaction between offshore and coastal waters. …”
Get full text

Behavioral endpoints and generational effects in Daphnia magna upon short- and long-term exposure and their use as additional endpoint in ecotoxicological risk assessment by Vanessa F. Saalmann, Kirsten Germing, Benedikt Ringbeck, Lena A. Kosak, Elke Eilebrecht

Get full text

Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

Get full text

Editorial: Machine learning approaches for monitoring mental health and substance abuse using social media data by Danila Azzolina, Erica Secchettin, Paola Berchialla, Tingshao Zhu, Aslihan Şentürk Acar, Dario Gregori

Get full text

Locomotor Activity Monitoring in Mice to Study the Phase Shift of Circadian Rhythms Using ClockLab (Actimetrics) by Andrea Brenna, Jürgen Ripperger, Urs Albrecht

“…These changes can be monitored through behavioral experiments in circadian research based on the analysis of locomotor activity by measuring wheel-running revolutions. …”
Get full text

On Construction of Real-Time Monitoring System for Sport Cruiser Motorcycles Using NB-IoT and Multi-Sensors by Endah Kristiani, Tzu-Hao Yu, Chao-Tung Yang

“…The implementation of this real-time monitoring system is anticipated to significantly reduce safety risks associated with mechanical failures as it continuously monitors inappropriate driving behaviors and detects mechanical abnormalities in real time. …”
Get full text

Monitoring Excavation-Induced Deformation of a Secant Pile Wall Using Distributed Fiber Optic Sensors by Chengyu Hong, Chengkai Xu, Weibin Chen, Jianwei Liu, Junkun Tan

“…This paper investigates the use of the BOTDA (Brillouin Optical Time-Domain Analysis) technology to monitor a large-scale bored pile wall in the field. …”
Get full text