Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach by María Belén Cánchig, Floralba López, Zaillmar Morales-Navarro, Alexis Debut, Karla Vizuete, Thibault Terencio, Manuel Caetano, Juan Pablo Saucedo-Vázquez

“…The study also demonstrated that functionalization with sulfur could modulate emission frequencies, enhancing the detection capabilities for specific ions. …”
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Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

“…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

“…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

“…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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Combining the unequal variance signal detection model with the health belief model to optimize shared decision making in tinnitus patients: part 2—patient profiling by Zsófia Zs Lehóczky, Zsófia Zs Lehóczky, Adriana L. Smit, Adriana L. Smit, Sarah Kaldenbach, Arnold Lieftink, Arnold Lieftink, Huib Versnel, Huib Versnel, Robert J. Stokroos, Robert J. Stokroos, Alexander E. Hoetink, Alexander E. Hoetink

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Identification, Cloning, and Functional Characterization of Carotenoid Cleavage Dioxygenase (CCD) from <i>Olea europaea</i> and <i>Ipomoea nil</i> by Kaixuan Ke, Yufeng Zhang, Xinyi Wang, Zhaoyan Luo, Yangyang Chen, Xianying Fang, Linguo Zhao

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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the computational complexity of high-precision detection models limits deployment on resource-constrained edge devices, such as industrial controllers. …”
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Increased Azimuth Resolution by Extrapolating the Antenna Array Aperture Function by Least Squares Linear Prediction Estimation Using Autoregressive Model Coefficients by V. V. Vladimirov

“…It is shown that the problem of increasing the azimuth resolution of a short-wave station for detecting air objects can be successfully solved using linear prediction based on the least-squares method using autoregressive model coefficients for the extrapolation of the AA aperture function. …”
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Solvothermal synthesis of polyvinyl pyrrolidone encapsulated, amine-functionalized copper ferrite and its use as a magnetic resonance imaging contrast agent. by Fatemeh Heydari, Ágnes M Ilosvai, Noémi Kovács, Domokos Máthé, Ferenc Kristály, Lajos Daróczi, Zoltán Kaleta, Béla Viskolcz, Miklós Nagy, László Vanyorek, László Forgách, Krisztián Szigeti

“…The results revealed both similarities and differences between the amine-functionalized copper ferrite nanoparticles. FTIR, XRD, HRTEM, and VSM analyses indicated improved properties in the CuFe2O4-NH2 MW particles, while AFM confirmed successful polymer encapsulation of the nanoparticles. …”
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<i>Spinacia oleracea</i> L. Baby Leaves as a Source of Bioactive Principles: The Chemical Profiling of Eco-Sustainable Extracts by Using LC-ESI/HRMS- and ¹H NMR-Based Me... by Antonietta Cerulli, Luciana Maria Polcaro, Milena Masullo, Sonia Piacente

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Moisture-thermo dual-responsive hydrogel structure for liquid composition change detection and programmed actuation via vertical crosslinking gradient based defocusing photolithogr... by Jinsik Yoon, Kibeom Kim, Junghyun Bae, Wook Park

“…This enhanced interaction induces swelling of the hydrogel, leading to curvature changes, enabling the structure to function as a sensor for detecting changes in liquid composition. …”
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Uniform Quantization for Multi-Antenna Amplify&#x2013;Quantize&#x2013;Forward Relay by Gangsan Jeong, Xianglan Jin

“…Furthermore, we propose a USL method with Monte Carlo (USL-MC), leveraging an approximated loss function to address the heightened complexity observed in multi-antenna systems. …”
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A modification of Jacobson et al.'s (1997) individual branch‐antlered male method for censusing white‐tailed deer by Mark Weckel, Robert F. Rockwell, Frank Secret

“…In 2009, using camera‐trap data from the Mianus River Gorge Preserve (NY), we modified the IBAM technique to 1) generate measures of uncertainty for parameter estimates via bootstrapping camera stations, and 2) address the concern that RPO ratios may be biased if groups of animals differ in their probability of being photographed (e.g., trap success [TS]). For each sex–age group, we evaluated RPO as a function of TS using linear regression to generate photographic counts standardized by TS (standardized photographic occurrences [SPO]). …”
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Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

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An Intelligent Hybrid Framework for Threat Pre-Identification and Secure Key Distribution in Zigbee-Enabled IoT Networks Using RBF and Blockchain by Bhukya Padma, Mahipal Bukya, Ujjwal Ujjwal

“…This methodology incorporates Radial Basis Function (RBF) networks for prompt threat detection and a blockchain-based trust framework for decentralized and tamper-proof key distribution. …”
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Aptamer/Dopamine Molecularly Imprinted Polymer Composite Based pH Stability Improved Electrochemical Sensor for Simultaneous Detection of Cd(Ⅱ) and Hg(Ⅱ) by Xinyu Fang, Xinna Liu, Jiahao Sha, Nianxin Zhu, Yihang Yang, Tai Ye, Hui Cao, Min Yuan, Liling Hao, Fei Xu

“…In this study, an ultra‐sensitive electrochemical sensor was successfully constructed based on aptamer/dopamine molecularly imprinted polymer composite material, to explore the simultaneous detection of Cd(II) and Hg(II). …”
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Preparation of One-Emission Nitrogen-Fluorine-Doped Carbon Quantum Dots and Their Applications in Environmental Water Samples and Living Cells for ClO− Detection and Imaging by Qianchun Zhang, Haijiang Du, Siqi Xie, Fengling Tian, Xixi Long, Shan Liu, Yun Wu

“…Based on the excellent fluorescence stability, excellent water solubility, and low cell toxicity, the practicality and viability of the fluorescent composites were also successfully verified via detecting ClO− in water samples and living RAW 264.7 cells. …”
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Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery by César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón

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New Tools in Heavy Metal Detection: Synthesis, Spectroscopic, and Quantum Chemical Characterization of Selected Water-Soluble Styryl Derivatives of Quinoline and 1,10-Phenanthrolin... by Jacek E. Nycz, Jolanta Kolińska, Nataliya Karaush-Karmazin, Tieqiao Chen, Maria Książek, Joachim Kusz

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Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

“…In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. …”
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