Probe – Integrated electrochemical sensing platform for detection of trace levels of Dapoxetine hydrochloride drug residue in water and drug formulations by H. Alwael, N.A. Asiri, B.G. Alhogbi, A.S. Alharthi, E.A. Bahaidarah, T.N. Abduljabbar, D.F. Baamer, M. Madkour, F.A. Zainy, M.S. El-Shahawi

“…The proposed probe displayed limits of detection (LOD) and quantification (LOQ) of 5.0 × 10−7 and 1.56 × 10−6 M, respectively, with a wide linear dynamic range (LDR) of 1.0 × 10−6–1.0 × 10−4 M of DPH. The sensor also revealed remarkable reproducibility, stability, and resistance towards interference. …”
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Neuron-Specific Glycine Metabolism Links Transfer RNA Epitranscriptomic Regulation to Complex Behaviors by Jennifer Blaze, Viviana Dolores Evans, Jessica Abigail Feria Pliego, Petr Unichenko, Behnam Javidfar, Soeren Heissel, Hanan Alwaseem, Zachary Pennington, Denise Cai, Henrik Molina, Christian Henneberger, Schahram Akbarian

“…Changes in extracellular glycine levels were monitored by an optical glycine Förster resonance energy transfer (FRET) sensor in the hippocampus, and behavioral phenotyping included cognition, anxiety-like behavior, and behavioral despair. …”
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Análisis experimental de la cinemática en la colisión elástica entre dos cuerpos durante el tiempo de contacto by Suyana Arcos Villagómez, Santiago Álvaro Pillalaza, Xavier Rivera Gálvez, César Michelena Rosero, Emilse Camacho Cañar

“…La experimentación se llevó a cabo en un laboratorio práctico asistido por computadora, empleando sensores inalámbricos incorporados en los carros de prueba y dispuestos sobre una pista de bajo coeficiente de rozamiento. …”
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Identificación de áreas inundables del parque provincial San Cayetano (Corrientes, Argentina) by Laura Fabiana Gómez, Félix Ignacio Contreras, David Ezequiel Morel, Joaquín Emanuel Morel

“…Para concretar este objetivo se realizaron en primera instancia mediciones de Puntos de Apoyo Fotogramétricos (PAF) con un receptor GNSS geodésico South Galaxy G1 para otorgar mayor confiabilidad a los resultados generados en la etapa de postproceso y se sobrevoló el Parque San Cayetano con un Drone modelo Mavic 2 pro de la firma DJI, que cuenta con un sensor CMOS de 1” y resolución de 20 megapíxeles, lo que posibilitó la obtención de fotografías aéreas con características necesarias para la generación de un MDE. …”
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Estimación de potencial hídrico en vid por medio de medidas termográficas y espectrales by H. VILA, I. HUGALDE, M. DI FILIPPO

“…El objetivo del trabajo fue evaluar métodos alternativos para estimar el YL mediante sensores remotos. Uno de los métodos utilizados fue el de la reflectancia espectral. …”
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A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data by M. Atzeni, G. Cappon, J. K. Quint, F. Kelly, B. Barratt, M. Vettoretti

“…Literature predictive models for COPD exacerbations, while promising, may be constrained by their reliance on fixed air quality sensor data that may not fully capture individuals’ dynamic exposure to air pollution. …”
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Effect of an Electronic Pill Bottle on Hydroxychloroquine Adherence in Pediatric Lupus: Results of a Novel Direct‐to‐Family Pilot Trial by Rachel L. Randell, Laura E. Schanberg, Claire Beard, Thomas Phillips, Christoph P. Hornik, Michael Cohen‐Wolkowiez, Stephen J. Balevic, with the CARRA Registry investigators

“…All participants received a pill bottle with a sensor in the cap to record openings and provide automated reminders, which were activated after a two‐week run‐in. …”
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Impact of COVID-19 on the Air Quality over China and India Using Long-term (2009–2020) Multi-satellite Data by Manish Soni, Sunita Verma, Hiren Jethava, Swagata Payra, Lok Lamsal, Priyanshu Gupta, Janhavi Singh

“…., nitrogen dioxide (NO2), sulphur dioxide (SO2), Aerosol Index (AI) and aerosol optical depth (AOD) data are retrieved from the Ozone Monitoring Instrument (OMI), TROPOspheric Monitoring Instrument (TROPOMI), and MODerate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra and Aqua satellites, respectively. …”
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Carcinogenic and non-carcinogenic risk estimation of indoor TVOCs, RSPM, FPM and SFPM on young women dwellers: a case study from the capital city of Uttar Pradesh, India by Farheen Zehra, Samridhi Dwivedi, Mohd Akbar Ali, P. S. Rajinikanth, Alfred Lawrence

“…Envirotech APM 550 for RSPM and FPM, APM 577 for SFPM and portable sensor-based instrument (BR-SMART) were used to measure TVOCs. …”
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VARIABILIDAD DE LA TEMPERATURA DE SUPERFICIES EN EL NW DE LA PROVINCIA DE NEUQUÉN A PARTIR DE INFORMCIÓN SATELITAL. by Marisa G. Cogliati, Mariana Suárez

“…La temperatura de superficie obtenida utilizando la información de los canales 4 y 5 del sensor AVHRR presenta la distribución espacial de la temperatura del suelo que pone en evidencia la complejidad del comportamiento, asociado al relieve. …”
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Red nacional de monitoreo de pastizales naturales de Argentina: productividad forrajera de la vegetación extrapampeana by L. J. BLANCO, M. Durante, D. Ferrante, R. E. Quiroga, M. Demaría, C. M. Di Bella

“…Los resultados de este trabajo aportan información relevante para la planificación forrajera de la ganadería a escala regional, y también pueden ser utilizados como insumo para la calibración de modelos de estimación de la productividad forrajera basados en el uso de sensores remotos.…”
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Vertical flow immunoassay for multiplex mycotoxins based on photonic nitrocellulose and SERS nanotags by Ruipeng Chen, Jingfang Hu, Hui Wang, Cheng Li, Haiqi Kang, Yuxuan Chen, Liang Yang, Xiangfang Tang, Benhai Xiong, Xiangwei Zhao

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Mechanical and Pharmacological Revascularization Strategies for Prevention of Microvascular Dysfunction in ST-Segment Elevation Myocardial Infarction: Analysis from Index of Microc... by Ji-Hun Jang, Man-Jong Lee, Kyu-Yong Ko, Jin-Hee Park, Yong-Soo Baek, Kwon Sung-Woo, Sung-Hee Shin, Seong-Ill Woo, Dae-Hyeok Kim, Young Ju Suh, Jun Kwan, Sang-Don Park

“…The IMR was measured with a pressure sensor/thermistor-tipped guidewire immediately after primary PCI. …”
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Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study by Heet Sankesara, Hayley Denyer, Shaoxiong Sun, Qigang Deng, Yatharth Ranjan, Pauline Conde, Zulqarnain Rashid, Philip Asherson, Andrea Bilbow, Madeleine J Groom, Chris Hollis, Richard J B Dobson, Amos Folarin, Jonna Kuntsi

“…The RADAR-base Passive App and wearable device collect sensor data in the background, while the Active App involves participants completing clinical symptom questionnaires. …”
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Synaptotagmin-1 attenuates myocardial programmed necrosis and ischemia/reperfusion injury through the mitochondrial pathway by Teng Sun, Jialei Li, Shuang Wang, Yu Han, Xiangyu Tao, Min Yuan, Zhijie Jing, Ting Liu, Yuehong Qi, Siqi Liu, Yanlin Feng, Jiasong Chang, Lan Zhou, Lijuan Gao, Jianyun Shi, Ruihong Ning, Jimin Cao

“…Synaptotagmin-1 (Syt1), a Ca2+ sensor, is originally identified in nervous system and mediates synchronous neurotransmitter release. …”
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Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models by Nibas Chandra Deb, Jayanta Kumar Basak, Sijan Karki, Elanchezhian Arulmozhi, Dae Yeong Kang, Niraj Tamrakar, Eun Wan Seo, Junghoo Kook, Myeong Yong Kang, Hyeon Tae Kim

“…The livestock environment management system sensor and two load cells were used to measure the IT, IRH, ICO2, BW and DE intake of pigs, respectively. …”
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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

“…First, we introduce a novel measurement campaign for indoor mmWave channel at 60 GHz, where a light detection and ranging (LiDAR) sensor and panoramic camera were co-located with a channel sounder and then time-synchronized point clouds and images were captured to describe environmental information. …”
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Can electronic monitoring with a digital smart spacer support personalised medication adherence and inhaler technique education in patients with asthma?: Protocol of the randomised... by Job F. M. van Boven, Boudewijn H.J. Dierick, Maria Achterbosch, Sandra Been-Buck, Titia Klemmeier, Susanne J. van de Hei, Paul Hagedoorn, Huib A.M. Kerstjens, Janwillem W.H. Kocks

“…The rechargeable CE-marked smart spacer (Aerochamber Plus with Flow Vu) includes a sensor that monitors adherence and inhalation technique to prescribed dosing regimen of both maintenance and reliever inhalers. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…The hybrid DQN-PPO-GNN-RL model addresses bottlenecks by dynamically managing computing and network resources, allowing for efficient operations in low-latency, high-demand environments such as autonomous systems, sensor networks, and real-time monitoring. The use of Graph Neural Networks (GNNs) improves the accuracy of resource representation, while reinforcement learning-based scheduling allows for seamless adaptation to changing workloads. …”
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Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

“…Considering this, we extracted four maize growth process parameters using Leaf Area Index (LAI) obtained from UAV (equipped with multispectral sensor, centimeter-level) and satellite (MODIS, 1 km) observations: PP_a (representing the duration of the crop growth period), PP_b (representing the peak growth stage of the crop), PP_c (representing the initial state of the crop), and LAImax (maximum LAI). …”
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