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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One-pot green synthesis of BSA-capped O-CQDs as an effective fluorescent sensing platform for sensitive and selective detection of promethazine drug by S. Viji, A. Dinesh, K. Radhakrishnan, L. Srimathi Priya, C. Sivasankari, Madhappan Santhamoorthy, Manikandan Ayyar, V. Mohanavel, Mohamed Hashem, Hassan Fouad, G. Ramachandran, S. Santhoshkumar

“…Obtained results show that BSA-O-CQDs had higher specificity for promethazine Furthermore, their ability to resolve non-specific binding was assessed under simulated physiological backgrounds, demonstrating their promise for robust biosensing applications. This sensor method achieved a high selectivity with LOD of 0.2 μM from range of 10–90 μM indicating its suitability for precise promethazine measurement in environmental samples. …”
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Teknologi Irigasi Cerdas pada Sistem Irigasi Drip dengan Algoritma Ant Colony Optimization by Abdul Haris, Nabilla Anggraini, Hengki Sikumbang

“…Uji coba dilakukan dengan menggunakan 3 sensor, sebagai representasi 3 kondisi lahan yakni lahan basah, lahan normal dan lahan kering.  …”
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Isoacid supplementation influences feed sorting, chewing behaviors, and enteric methane emissions differentially in mid-lactation dairy cows depending on dietary forage level by M.R.A. Redoy, S. Ahmed, M. Bulnes, D.H. Kleinschmit, M.E. Uddin

“…Enteric CH4 and chewing activity (rumination and eating time) were measured using the GreenFeed system and sensor-based ear tag system, respectively. The particle size of each diet and ort from individual cows was measured using the Penn State Particle Separator, and a sorting index was calculated. …”
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Estudio volumétrico de las canteras romanas de Rodadero de los Lobos – cortijo Piquín (sierra de Córdoba) mediante UAV LiDAR by Juan Carlos Moreno Escribano, Antonio Monterroso Checa, Massimo Gasparini, María Luisa Loza Azuaga, Esther Ontiveros Ortega, José Beltrán Fortes, Daniel Becerra Fernández

“…La prospección mediante el sensor LiDAR ha permitido la captura de datos de la superficie del terreno, hasta este momento inéditos, debido a lo escarpado del mismo y la frondosidad de la vegetación, que dificultan la prospección superficial. …”
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Development of an Alternative Protocol to Study Muscle Fatigue by Daniela A. Alambarrio, Benjamin K. Morris, R. Benjamin Davis, Emily B. Grabarczyk, Kari K. Turner, John M. Gonzalez

“…When measuring real-time in vivo muscle fatigue with electromyography (<b>EMG</b>), data collection can be compromised by premature sensor removal or environmental noise; therefore, the objective of this study was to develop a postmortem in vivo methodology to induce muscle fatigue and measure it using EMG. …”
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THE APPLICATION OF IOT (INTERNET OF THINGS) FOR SMART HOUSING ENVIRONMENTS AND INTEGRATED ECOSYSTEMS by Andi Hildayanti, M Sya'Rani Machrizzandi

“…The results of this study indicate by connecting disparate building systems with networked IoT sensors and devices, smart building applications for smart housing environments and integrated ecosystems can use data across operations, providing greater visibility, valuable insights, and better occupant experiences. …”
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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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The Impact of Movement Control Order (MCO) during Pandemic COVID-19 on Local Air Quality in an Urban Area of Klang Valley, Malaysia by Mohd Shahrul Mohd Nadzir, Maggie Chel Gee Ooi, Kemal Maulana Alhasa, Mohd Aftar Abu Bakar, Anis Asma Ahmad Mohtar, Mohd Fadzil Firdzaus Mohd Nor, Mohd Talib Latif, Haris Hafizal Abd Hamid, Sawal Hamid Md Ali, Noratiqah Mohd Ariff, Johary Anuar, Fatimah Ahamad, Azliyana Azhari, Norfazrin Mohd Hanif, Mohammed Ahmed Subhi, Murnira Othman, Mohd Zaim Mohd Nor

“…Here, we investigate changes in air quality during the MCO at an urban area using the air sensor network AiRBOXSense which measures monoxide (CO) and particulate matter (PM2.5 and PM10). …”
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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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Optimisation and validation of Plume Chasing for robust and automated NOx and particle vehicle emission measurements by Christina Schmidt, C. David Carslaw, J. Naomi Farren, N. René Gijlswijk, Markus Knoll, E. Norbert Ligterink, Jan Pieter Lollinga, Martin Pechout, Stefan Schmitt, Michal Vojtíšek, Quinn Vroom, Denis Pöhler

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Effects of heat stress abatement on behavioral response in lactating dairy cows prior to and following an intramammary lipopolysaccharide infusion by T.N. Marins, R.M. Orellana Rivas, Y-C. Chen, V.H.L.R. Melo, Z. Wang, H. Liu, J. Gao, C.G. Savegnago, A.M. Roper, J.K. Bernard, P. Melendez, S. Tao

“…Feeding and resting behaviors were recorded throughout the experiment using automated sensor devices (NEDAP). Sorting activity based on particle size separation using a Penn State Particle Separator was assessed at d 3, 16, and 26 of the experiment. …”
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Sistem Akuaponik untuk Peternakan Lele dan Tanaman Kangkung Hidroponik Berbasis IoT dan Sistem Inferensi Fuzzy by Fachrul Rozie, Iwan Syarif, Muhammad Udin Harun Al Rasyid, Edi Satriyanto

“…This study aims to develop a smart system in aquaponic cultivation by utilizing Internet of Things technology which is equipped with several types of sensors to monitor and control water quality by applying the Fuzzy Inference System (FIS) algorithm to regulate the speed of pool water circulation in order to save electric power on the pump. …”
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TEKNIK MENENTUKAN WAKTU HILANGNYA SYAFAQ (CAHAYA MERAH) MENGGUNAKAN SQY QUALITY METER (SQM) DENGAN METODE TITIK POTONG (CUTOFF) by M. Asep Rizkiawan, Rosalina Rosalina, Emilia Roza

“…In measuring the brightness of the sky, the researchers used non-image sensor technology, namely Sky Quality Meter (SQM). …”
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Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

“…Our datasets included field and high-resolution topographic metrics including elevation, slope, aspect, and solar radiation and canopy height derived from lidar (1 m) and 44 vegetation indices derived from high-resolution (1 m) visible to near infrared (VNIR) hyperspectral data collected by NASA Goddard's Lidar, Hyperspectral and Thermal Imager (G-LiHT) sensor. The remote sensing data were collected under variable sky conditions (clear to overcast) throughout a 1-month growing-season period, and field data collected by United States Department of Agriculture (USDA) Forest Service, Forest Inventory and Analysis program (FIA). …”
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Cellular senescence induced by cholesterol accumulation is mediated by lysosomal ABCA1 in APOE4 and AD by Shaowei Wang, Boyang Li, Jie Li, Zhiheng Cai, Cristelle Hugo, Yi Sun, Lu Qian, Julia TCW, Helena C. Chui, Dante Dikeman, Isaac Asante, Stan G. Louie, David A. Bennett, Zoe Arvanitakis, Alan T. Remaley, Bilal E. Kerman, Hussein N. Yassine

“…Discovery proteomics identified caveolin-1, a sensor of cellular cholesterol accumulation, as a key promoter of ABCA1 endolysosomal trafficking. …”
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The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes by I. Wiekenkamp, A. K. Lehmann, A. Bütow, J. Hartmann, S. Metzger, S. Metzger, T. Ruhtz, C. Wille, M. Zöllner, T. Sachs, T. Sachs

“…The glider is equipped with an 858 AJ Rosemount five-hole probe, a Picarro G2311-f gas analyzer, a Novatel FlexPak G2-V2 GNSS–INS system, Vaisala temperature and humidity sensors (HMT311), and an OMEGA CHAL-003 thermocouple temperature sensor. …”
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Creating pathways for collaboration between Argentina and the UK to utilise microbial biofilms in sustainable agriculture by Patricia L. Abdian, Miguel Cámara, Fabricio D. Cassan, Gabriel Castrillo, Marisa Díaz, Gustavo Gonzalez Anta, Claire Hodge, Jo Slater-Jefferies, Cait E. MacPhee, Enzo Moriconi, Paulina D. Rakowska, Rasmita Raval, Duncan Ross, Juan F. Sandoval, Diego O. Serra, Claudio Valverde, Jeremy Webb, Ana Winters

“…It offers a comprehensive summary encompassing the insights, perspectives, and outcomes generated during the discussions among the participants, pinpointing three key priority areas for collaborative activities that were identified: (1) Using plant root biofilm composition as a sensor for soil health and to optimise interventions, (2) Biofilms and soil health resilience in a changing environment, (3) Intelligent seeds and innovative / automated large-scale monitoring systems. …”
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Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision by Lucas Waltz, Sushma Katari, Chaeun Hong, Adit Anup, Julian Colbert, Anirudh Potlapally, Taylor Dill, Canaan Porter, John Engle, John Engle, Christopher Stewart, Hari Subramoni, Scott Shearer, Raghu Machiraju, Osler Ortez, Laura Lindsey, Arnab Nandi, Sami Khanal

“…The dataset includes 1 terabyte (TB) of multimodal data, comprising Unmanned Aerial System (UAS) imagery (RGB and multispectral), as well as soil and weather sensor data. The two primary crops studied were corn and soybean, which are the state's most widely cultivated crops. …”
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A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity by Wen Wang, Wen Wang, Meiting Wang, Huanbai Wang, Weifeng Xu, Conggang Wang, Jie Pei, Xiaodan Li, Dongting Zhangsun, Dongting Zhangsun

“…This treatment also resulted in reduced expression of neuronal calcium sensor 1 (NCS-1) and neuroligin 3 (NLGN-3) in the prefrontal cortex (PFC), hippocampus (Hip), and caudate putamen (CPu). …”
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