Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…In addition, for biosignal infosecurity, raw data were collected from a radar millimeter-wave (mm-Wave) sensing firmware for detecting vital signs. The experimental results are validated for heartbeat signals, respiratory signals, and mammography images, demonstrating the effectiveness and feasibility of the proposed encryption, decryption, and AI-assisted diagnosis methods.…”
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Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm by Wenhao Xu, Xiaogang Liu, Jianhua Dong, Jiaqiao Tan, Xulei Wang, Xinle Wang, Lifeng Wu

“…The results of this study provide an application reference and a theoretical basis for the research on UAV remote sensing in relation to citrus yield.…”
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Genome-wide identification of novel flagellar motility genes in Pseudomonas syringae pv. tomato DC3000 by Zichu Yang, Tyler Helmann, Maël Baudin, Maël Baudin, Maël Baudin, Karl J. Schreiber, Karl J. Schreiber, Zhongmeng Bao, Paul Stodghill, Paul Stodghill, Adam Deutschbauer, Adam Deutschbauer, Jennifer D. Lewis, Jennifer D. Lewis, Bryan Swingle, Bryan Swingle

“…PSPTO_1042 is part of an extracytoplasmic sensing system that controls gene expression in response to reactive oxygen species, suggesting that PSPTO_1042 may function as part of a mechanism that enables Pst DC3000 to alter motility when encountering oxidative stressors. …”
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Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…Soil salinization poses considerable global environmental and ecological risks. Remote-sensing time-series data enable more accurate monitoring and prediction of soil salinity levels, offering a refined approach to soil salinization assessment. …”
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PreciPalm: An Intelligent System for Calculating Macronutrient Status and Fertilizer Recommendations for Oil Palm on Mineral Soils Based on a Precision Agriculture Approach by Kudang Boro Seminar, Harry Imantho, null Sudradjat, Sudirman Yahya, Sirojul Munir, Indra Kaliana, Fajar Mei Haryadi, Awalia Noor Baroroh, null Supriyanto, Gani Cahyo Handoyo, Arif Kurnia Wijayanto, Cecep Ijang Wahyudin, null Liyantono, Rhavif Budiman, Achmad Bakir Pasaman, Dwi Rusiawan, null Sulastri

“…This research aims to determine macronutrients, specifically nitrogen (N), phosphorus (P), and potassium (K) contents in oil palm leaves based on PA principles using the integration of remote sensing technology and machine learning to quickly obtain the macronutrient status from oil palm plantation areas. …”
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A Trap-Assisted Photomultiplication-Type Organic Photodetector With High Detectivity From Visible to Shortwave Infrared Light by Jingwen Chen, Claire Qing-Ying Huang, Xin Zhang, Sheng Dong, Xiye Yang

“…This letter reports a trap-assisted photomultiplication-type organic photodetector (PM-OPD) with a broad sensing range from 400 to 1400 nm. By easily tunning the donor/acceptor ratio in bulk-heterojunction layer consisting Poly([2,6&#x2019;-4,8-di(5-ethylhexylthienyl)benzo[1,2-b;3,3-b]dithiophene]{3-fluoro-2[(2-ethylhexyl)carbonyl] thieno[3,4-b]thiophenediyl}) (PTB7-Th) and a novel non-fullerene acceptor (NFA) pendant 2,2&#x2019;-(((2,5-bis(2-octyldodecyl)-3,6-dioxo-2,3,5,6-tetrahydropyrrolo [3,4-c]pyrrole-1,4-diyl)bis(thiophene-5,2-diyl))bis(4-oxonaphthalene-3(4H)-yl-1(4H)-ylidene)) dimalononitrile named DPP-QC, the device shows specifically a high external quantum efficiency (EQE) value of 112% and specific detectivity (D*) over <inline-formula> <tex-math notation="LaTeX">$10^{10}$ </tex-math></inline-formula> Jones at 1200 nm at a light intensity of 0.108 mW/cm2. …”
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A Review of Needle Navigation Technologies in Minimally Invasive Cardiovascular Surgeries—Toward a More Effective and Easy-to-Apply Process by Katharina Steeg, Gabriele Anja Krombach, Michael Horst Friebe

“…Additionally, emerging diagnostic methods like vibroacoustic sensing or optical fiber needles offer information from complementary sensory channels, augmenting visual approaches with insights into tissue integrity and structure, thereby paving the way for enhanced needle navigation systems in MICS.…”
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WIMUSim: simulating realistic variabilities in wearable IMUs for human activity recognition by Nobuyuki Oishi, Phil Birch, Daniel Roggen, Paula Lago

“…WIMUSim models IMUs in wearable sensing using four key parameters: Body (skeletal model), Dynamics (movement patterns), Placement (device positioning), and Hardware (IMU characteristics). …”
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Nurses’ experiences of text-based digital triage at primary healthcare centres in Sweden: a qualitative interview study by Ester Rydell, Ulf Jakobsson, Sigrid Stjernswärd

“…They were: “Using one’s senses differently to collect information”, “Change of communication mode to convey messages” and “Change of timeframe and the use of time”. …”
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A Wearable System for Experimental Knee Pain During Real-World Locomotion: Habituation and Motor Adaptation by Jesse M. Charlton, Liam H. Foulger, Calvin Kuo, Jean-Sebastien Blouin

“…We developed a novel, wearable system that couples motion sensing and electrical stimulation in real-time to study motor adaptation in new environments. …”
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The anomalously thundery month of June 1925 in southwest Spain: description and synoptic analysis by F. J. Acero, M. Antón, A. J. P. Aparicio, A. J. P. Aparicio, N. Bravo-Paredes, V. M. S. Carrasco, M. C. Gallego, J. A. García, M. Núñez, I. Tovar, J. Vaquero-Martínez, J. M. Vaquero

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Climate Change-Induced Decline in Succulent <i>Euphorbia</i> in Namibia’s Arid Regions by J. J. Marion Meyer, Marie M. Potgieter, Nicole L. Meyer, Anika C. Meyer

“…By comparing good-quality aerial photographs from the 1960s and recent 2020s high-resolution satellite images, it was determined by QGIS remote sensing techniques that very high percentages of the large succulents <i>E. damarana</i>, <i>E. gummifera</i>, and <i>E. gregaria</i> have died during the last 50 years in arid areas of Namibia. …”
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Understanding road accident injury dynamics in Iran: a growth mixture modelling perspective by Ziba Zarrin, Kamran Gholamizadeh, Elaheh Talebi-Ghane, Erfan Ayubi, Omid Hamidi

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Random forest model that incorporates solar-induced chlorophyll fluorescence data can accurately track crop yield variations under drought conditions by Guangpo Geng, Qian Gu, Hongkui Zhou, Bao Zhang, Zuxin He, Ruolin Zheng

“…In this study, remote sensing data, climate data, and soil moisture data from the winter wheat growth period in northern China from 2003 to 2017 were used to construct a crop yield simulation model based on the Random Forest (RF) algorithm. …”
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Seasonal dynamics of dissolved organic matter in a small tropical estuary-coastal bay continuum: distribution, transformation, flux, and global perspectives by Pengfei Liu, Kuan Jiang, Qi Tan, Fajin Chen, Renming Jia, Chao Wang, Chao Wang, Chao Wang, Chao Wang

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Solanum tuberosum Leaf Extract Templated Synthesis of Co3O4 Nanoparticles for Electrochemical Sensor and Antibacterial Applications by Eneyew Tilahun Bekele, H. C. Ananda Murthy, Dhanalakshmi Muniswamy, Yeshaneh Adimasu Lemenh, Minale Shegaw Shume, Gezahegn Tadesse Ayanie, Avvaru Praveen Kumar, C. R. Ravikumar, R. Balachandran, Arpita Roy

“…Co3O4 NPs-modified electrodes showed better sensing capability towards ascorbic acid and citric acid due to enhanced electron transfer kinetics. …”
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Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin,... by Alemu Eshetu Fentaw, Assefa Abegaz

“…This study investigates the temporal and spatial dynamics of land use land cover (LULC) changes over 31 years (1990–2021) in the upper Tekeze River basin, Ethiopia, utilizing advanced remote sensing techniques such as Google Earth Engine (GEE) and the Random Forest (RF) algorithm. …”
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Atomic Force Microscopy (AFM) nanomechanical characterization of micro- and nanoplastics to support environmental investigations in groundwater by Massimiliano Galluzzi, Michele Lancia, Chunmiao Zheng, Viviana Re, Valter Castelvetro, Shifeng Guo, Stefano Viaroli

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Sistem Kontrol Perangkat Inframerah Menggunakan Speech Recognition dengan Spectrogram dan Convolutional Neural Network Berbasis Mikrokontroler by Irfan Muzakky Nurrizqy, Barlian Henryranu Prasetio, Rekyan Regasari Mardi Putri

“…One thing that helps people with disabilities is the emergence of smart devices that do not need to be controlled using hands but can use other senses such as sound. This research aims to develop a system that can control infrared devices using sound as input. …”
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Satellite-based Emission Inventory Adjustments Improve Simulations of Long-range Transport Events by Wei-Syun Huang, Stephen M. Griffith, Yi-Chun Lin, Ying-Chieh Chen, Chung-Te Lee, Charles C.-K. Chou, Ming-Tung Chuang, Sheng-Hsiang Wang, Neng-Huei Lin

“…This study adjusts a bottom-up emission inventory based on changes in remotely sensed NO2 column densities for a source region of East Asia, then with CMAQv5.2.1 simulates transport of LRT plumes to Taiwan. …”
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