Quantitative Magnetic Resonance Imaging of Enzyme Activity on the Cell Surface: In Vitro and In Vivo Monitoring of ADP-Ribosyltransferase 2 on T Cells by Peter Bannas, Oliver Graumann, Philipp Balcerak, Kersten Peldschus, Michael Gerhard Kaul, Heinrich Hohenberg, Friedrich Haag, Gerhard Adam, Harald Ittrich, Friedrich Koch-Nolte

“…R2 and R2* increases correlated linearly with the results from flow cytometry and atomic absorption spectroscopy analyses. …”
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Theoretical Research on Large Field-of-View Polarization Imaging Based on Dynamic Vision Sensors by Xiaotian Lu, Kunpeng Xing, Siran Li, Ziyu Gu, Lei Xin

“…And the influence of the detection ability is analyzed for three types of incident conditions, namely linearly polarized light, natural light, and partially polarized light. …”
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Successive Approximation Register Analog-to-Digital Converter (SAR ADC) for Biomedical Applications by Kawther I. Arafa, Dina M. Ellaithy, Abdelhalim Zekry, Mohamed Abouelatta, Heba Shawkey

“…During the past decade, implementation of the high energy efficiency of SAR ADC has become the most necessary. …”
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A Rapid Method of Assessing the Photocatalytic Activity of Thin TiO2 Films Using an Ink Based on the Redox Dye 2,6-Dichloroindophenol by Andrew Mills, Mark McGrady, Jishun Wang, James Hepburn

“…The kinetics of photoreduction also appear linearly dependent on the UVA light intensity with an observed quantum efficiency of ca. 1.8×10−3.…”
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network by Yiming Chen, Wei Wang, Junchao Chen, Jizhou Deng, Yuanping Xiang, Bo Qiao, Xinghui Zhu, Changyun Li

“…Using the Percent Correct Weight (PCW) metric as the evaluation standard, this study compares the performance of four traditional machine learning methods, Support Vector Regression (SVR), Multilayer Perceptron (MLP), Linear Regression, and Random Forest Regression, with four point cloud-based deep learning models, PointNet, PointNet++, PointMLP, and Point Cloud Transformer, as well as an image-based deep learning model, EfficientNet and ResNet, on single-modal datasets. …”
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Aptamer-enhanced ultrasensitive electrochemical detection of HER-2 in breast cancer diagnosis using ZnO tetrapod-K4PTC nanohybrids by Reema Rawat, Souradeep Roy, Tapas Goswami, Fatemeh Sadat Mirsafi, Mustafa Ismael, Till Leissner, Yogendra Kumar Mishra, James McLaughlin, Krishna Kant, Ashish Mathur

“…The developed nano-biosensor exhibited linear response in the range from 1 fg/mL – 10 µg/mL, and the overall limit of detection and sensitivity of the developed sensor is observed around 0.58 fg/mL and 2.08 µA/fg/mL/mm2, respectively. …”
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Liquid Crystal Microcavity Biosensors for Real-Time Liver Injury Monitoring via Whispering Gallery Mode Laser by Jianwei Wang, Yeshuai Song, Xinyu Dou, Jiapeng Sun, Xinghua Yang, Yu Zhang, Zhihai Liu, Yanzeng Li, Hanyang Li

“…Experimental results demonstrate a strong linear correlation between ALT concentration and reaction time within the range of 0 to 240 U/l. …”
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Investment in an accessible multimodal active network: How project life cycle and investment horizon can impact the design by Mehrdad Memarpour, Ali Najmi, S. Travis Waller, Taha Hossein Rashidi

“…The bilevel problem is converted to a single-level non-linear optimisation model by implementing KKT conditions. …”
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A Portable and Thermally Degradable Hydrogel Sensor Based on Eu-Doped Carbon Dots for Visual and Ultrasensitive Detection of Ferric Ion by Hongyuan Zhang, Qian Zhang, Juan Tang, Huanxin Yang, Xiaona Ji, Jieqiong Wang, Ce Han

“…The developed sensor demonstrated a broad linear detection range (0–2.5 µM), an extremely low detection limit (1.25 nM), and rapid response (<40 s). …”
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Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data by Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa, Yoshitaka Matsushita, Keitaro Sodeyama, Tadakatsu Ohkubo, Hiroshi Shinotsuka, Kenji Nagata

“…We then applied Bayesian linear regression to the maximum energy product [Formula: see text], using the extracted peak features as the explanatory variable. …”
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High Sensitivity and Selectivity of PEDOT/Carbon Sphere Composites for Pb²⁺ Detection by Lirong Ma, Zhuangzhuang Wang, Xiong Liu, Feng Xu, Tursun Abdiryim

“…As a result, it is critical to create an efficient approach for identifying heavy metal ions. …”
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Heavy Metal Control and Dry Matter Assessment in Digested Sewage Sludge for Biogas Production by Krzysztof Michalski, Magdalena Kóska-Wolny, Krzysztof Chmielowski, Michał Gąsiorek, Klaudiusz Grübel, Konrad Kalarus, Wiktor Halecki

“…These findings provide valuable insights into optimizing sewage sludge treatment and biogas production processes by underlining the approaches for enhancing sludge properties to support efficient biogas production.…”
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A new multi objective crested porcupines optimization algorithm for solving optimization problems by Divya Adalja, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Mohammad Khishe

“…MOCPO is formulated to efficiently manage conflicting objectives in multi-objective optimization problems. …”
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A Disposable SWCNTs/AuNPs-Based Screen-Printed ISE at Different Temperatures to Monitor Ca²⁺ for Hypocalcemia Diagnosis by Zhixue Yu, Hui Wang, Yue He, Ruipeng Chen, Xiangfang Tang, Benhai Xiong

“…In this study, by combining the high electrical conductivity and large surface area of SWCNTs with the strong catalytic activity of AuNPs, a SWCNTs/AuNPs composite with high sensitivity and good stability was prepared, achieving efficient selective recognition and signal conversion of Ca²⁺. …”
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Rapid and Sensitive Determination of Methylxanthines in Commercial Brands of Tea Using Ultra-High-Performance Liquid Chromatography-Mass Spectrometry by Ahmad Aqel, Ahmed Almulla, Asma’a Al-Rifai, Saikh M. Wabaidur, Zeid A. ALOthman, Ahmed-Yacine Badjah-Hadj-Ahmed

“…The developed method was found to be linear in the range of 0.03–5 μg/mL, with correlation coefficients greater than 0.9995 for the three compounds. …”
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Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…This study provides a novel and efficient solution for AUV magnetic interference compensation and offers valuable insights for addressing similar problems.…”
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Ionic Liquid-Based Centrifuge-Less Cloud Point Extraction of a Copper(II)–4-Nitrocatechol Complex and Its Analytical Application by Denitsa Kiradzhiyska, Nikolina Milcheva, Miglena Ruzmanova, Fatma Genç, Petya Racheva, Kiril Gavazov

“…The method demonstrates a linear response in the copper(II) concentration range of 32–763 ng mL⁻¹ and a limit of detection of 9.7 ng mL⁻¹. …”
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Communication Infrastructure Design for Reliable UAV Operations in Air Mobility Corridors by Igor Kabashkin, Duman Iskakov, Roman Topilskiy, Gulnar Tlepiyeva, Timur Sultanov, Zura Sansyzbayeva

“…The results show that increasing redundancy significantly enhances availability, with Strategy 3 offering the most efficient balance between reliability and resource use. …”
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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

“…Overall, the InceptionResNetV2 integrated with DSAEs, sparsity regularization, and SwiGLU offers a promising solution for reliable and efficient brain tumor diagnosis in clinical environments. • Leveraging a pre-trained InceptionResNetV2 model to capture multi-scale features from MRI data. • Utilizing Deep Stacked Autoencoders with sparsity regularization to emphasize critical attributes for precise classification. • Incorporating the SwiGLU activation function to capture complex, non-linear patterns within the data.…”
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A data-driven approach to solve the RT scheduling problem by Mruga Gurjar, Jesper Lindberg, Thomas Björk-Eriksson, Caroline Olsson

“…We aim to create and evaluate an automated strategy which generates a patient allocation list to assist the scheduling staff to create an efficient scheduling process. Methods and Materials: We used historical data from a large RT department in Sweden from January to December 2022 with 11–13 operational linear accelerators. …”
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