Application of VUV/Sulfite Defluorination System for the Simple Detection of Perfluoroalkyl Substances by Shiyong Tao, Yilin Chen, Xiao Mei, Luyao Jin, Feng Wu, Jing Xu

“…A strong linearity between the fluoride release and initial PFAS concentration (R² > 0.999) was observed in the PFAS concentration range of 2–100 μM, and such linearity was also shown in the presence of sediment leachates. …”
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The Design of a Low-Power Pipelined ADC for IoT Applications by Junkai Zhang, Tao Sun, Zunkai Huang, Wei Tao, Ning Wang, Li Tian, Yongxin Zhu, Hui Wang

“…It achieved a spurious-free dynamic range (SFDR) of 61.83 dB and a signal-to-noise-and-distortion ratio (SNDR) of 54.15 dB while demonstrating a maximum differential non-linearity (DNL) of 0.36 least significant bit (LSB) and a maximum integral non-linearity (INL) of 0.67 LSB. …”
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Quality by design-assisted green uv-spectrophotometric method development and validation for the quantitative estimation of letrozole by Shahrikh S. Pakali, Mahesh palled, Shailendra S. Suryawanshi

“…The developed method exhibited excellent linearity within the concentration range of 2–10 µg/mL, with a correlation coefficient (R²) of 0.9994. …”
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Multitone ASK Waveform Design for Simultaneous Wireless Information and Power Transfer by Prerna Dhull, Dominique Schreurs, Sofie Pollin, Mehran Abolhasan, Negin Shariati

“…WPT performance of the designed transmitted signal has been shown to improve with increasing the minimum level of the symbols approaching the maximum possible power efficiency of the rectifier. Logarithmically distributed symbols have been shown to improve WPT compared to linearly distributed symbols due to the non-linearity of the rectifier circuitry, whereas linearly distributed symbols result in better WIT performance. …”
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“Sensitive and sustainable stability-indicating RP-HPLC method for simultaneous assay and impurity profiling of amitriptyline HCl: green metric, RGB model and forced degradation st... by Anand Radheshyam Tiwari, Sushama Raju Ambadekar, Vijay Arjun Bagul

“…The method showed excellent linearity for amitriptyline hydrochloride, with a quantitation range of 0.12–1.67 μg/mL for impurity determination and 255.49–766.48 μg/mL for assay linearity. …”
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Near-Field Direct Writing Based on Piezoelectric Micromotion for the Programmable Manufacturing of Serpentine Structures by Xun Chen, Xuanzhi Zhang, Jianfeng Sun, Rongguang Zhang, Xuanyang Liang, Jiecai Long, Jingsong Yao, Xin Chen, Han Wang, Yu Zhang, Jiewu Leng, Renquan Lu

“…The relationship between microstructure bending and biomimetic non-linear mechanical behavior was explored through tensile testing. …”
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Predicting cellular responses to complex perturbations in high‐throughput screens by Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis

“…Here, we present the compositional perturbation autoencoder (CPA), which combines the interpretability of linear models with the flexibility of deep‐learning approaches for single‐cell response modeling. …”
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Application of Machine Learning Algorithms for Predicting the Dynamic Stiffness of Rail Pads Based on Static Stiffness and Operating Conditions by Isaac Rivas, Jose A. Sainz-Aja, Diego Ferreño, Víctor Calzada, Isidro Carrascal, Jose Casado, Soraya Diego

“…The vertical stiffness of railway tracks is crucial for ensuring safe and efficient rail transport. Rail-pad dynamic stiffness is a key component influencing track performance. …”
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Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

“…However, conventional PRS calculation methods that rely on linear models are limited in their ability to capture complex patterns and interaction effects in high-dimensional genomic data. …”
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High-resolution portable bluetooth module for ECG and EMG acquisition by Luiz E. Luiz, Salviano Soares, Antonio Valente, João Barroso, Paulo Leitão, João P. Teixeira

“…., limited configurability, signal validation) and efficient wireless data handling. Methodology: A modular biosignal acquisition system with up to 8 channels, 24-bit resolution and configurable sampling (1–4 kHz) is proposed, featuring per-channel gain/source adjustments, internal MUX-based reference drive, and visual electrode integrity monitoring; Bluetooth® transmits data via a bit-wise packet structure (83.92% smaller than JSON, 7.28 times faster decoding with linear complexity based on input size). …”
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Hadamard Product Arguments and Their Applications by Kyeongtae Lee, Hankyung Ko, Donghwan Oh, Jihye Kim, Hyunok Oh

“…The Hadamard product (also known as element-wise multiplication) is a fundamental operation in linear algebra, performed by multiplying corresponding elements of two matrices with the same dimensions. …”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…Abstract Accurate estimation of permeability reduction in clay-rich sandstones during low-salinity water flooding is critical for optimizing enhanced oil recovery (EOR) strategies and ensuring efficient reservoir management. Traditional methods often rely on costly experiments or simplified empirical correlations, which struggle to capture the complex, non-linear interactions governing this phenomenon. …”
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Development and validation of a LAMP-based method for rapid and reliable detection of Xanthomonas albilineans, the causal agent of sugarcane leaf scald by Moutoshi Chakraborty, Moutoshi Chakraborty, Shamsul Arafin Bhuiyan, Shamsul Arafin Bhuiyan, Simon Strachan, Simon Strachan, Muhammad J. A. Shiddiky, Nam-Trung Nguyen, Rebecca Ford, Rebecca Ford

“…Sugarcane samples from infected plants were subjected to heat lysis, followed by loop-mediated isothermal amplification (LAMP)-based fluorescence and colorimetric quantification within a single microcentrifuge tube.ResultsThe method exhibited exceptional detection sensitivity (detecting as low as 1 cell/μL), reproducibility [with a standard deviation (SD) of <5% for n = 3], and a broad linear dynamic range (10 pM to 1 aM or 107–100 copies/μL, r = 0.99). …”
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Plant Traits in Spring and Winter Canola Genotypes Under Salinity by Rajan Shrestha, Qingwu Xue, Andrea Leiva Soto, Girisha Ganjegunte, Santosh Subhash Palmate, Vijayasatya N. Chaganti, Saurav Kumar, April L. Ulery, Samuel Zapata

“…Plant height, stem mass, leaf area, and specific leaf area (SLA) showed a negative linear response, while quadratic relationships were observed in biomass and leaf mass with increased salinity levels. …”
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An Electrochemical Aptasensor for Accurate and Sensitive Detection of Exosomes Based on Dual-Probe Recognition and Hybridization Chain Reaction by Haojie Ma, Jie Li, Mengjia Gao, Yan Dong, Yi Luo, Shao Su

“…According to this phenomenon, a linear relationship of this proposed aptasensor was achieved between the electrochemical response and 1 × 10²–1 × 10⁷ particles/mL exosomes, with a detection limit of 45 particles/mL. …”
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Longitudinal markers of cognitive procedural learning in fronto-striatal circuits and putative effects of a BDNF plasticity-related variant by Lena S. Geiger, Torsten Wüstenberg, Zhenxiang Zang, Mirjam Melzer, Stephanie H. Witt, Marcella Rietschel, Markus M. Nöthen, Stefan Herms, Franziska Degenhardt, Andreas Meyer-Lindenberg, Carolin Moessnang

“…We additionally explored the effect of the BDNF Val 66 Met polymorphism, a common genetic polymorphism impacting neural plasticity, to further inform the relevance of the identified neural markers. We used linear and exponential modeling to characterize procedural learning by means of learning curves on the behavioral and brain functional level. …”
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First principles investigation of bandgap modulation and light matter interaction in cubic X₂ScInI₆ halide double perovskites for emerging energy applications by Muhammad Yar Khan, Muhammad Awais Jehangir, It Ee Lee, Qamar Wali, Tariq Usman, Li Xiaojie, Abdullah Al Souwaileh

“…The stability was further validated by Phonon Dispersion Spectra through the linear response method using the Material Studio code. …”
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Comparison of 10-year atherosclerotic cardiovascular disease (ASCVD) risk in metropolitan and rural areas of South of Iran by Mohammad Javad Zibaeenezhad, Mehrab Sayadi, Hossein Pourmontaseri, Davood Khalili, Mojtaba Farjam, Ehsan Bahramail, Nader Parsa, Azizallah Dehghan, Seyyed Saeed Mohammadi, Iman Razeghian-Jahromi, Hamed Bazrafshan drissi, Matin Sepehrinia

“…Data was extracted from two big cohorts, Fasa Adults Cohort Study (FACS) and Shiraz Heart Study (SHS), with participation of over 12,000 general population. Linear regression models were used to test the difference in CVD risk between two populations. …”
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Heptad green metrics and quality by design tool evaluated chromatography method for content determination of Bexagliflozin in formulation product by Satyajit Raj Nethekar, Phani Raja Kanuparthy, Leela Prasad Kowtharapu, Vishnuvardhana Kishore Polisetti, Pankaj Kumar Lahoti, Sreekantha B Jonnalagadda, Naresh Kumar Katari

“…The study created an eco-friendly, rapid, sensitive, cost-efficient, stability-assessing method for analyzing Bexagliflozin in pharmaceuticals using a RP-UPLC approach. …”
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein by Bahareh Behkamal, Fatemeh Asgharian Rezae, Amin Mansoori, Rana Kolahi Ahari, Sobhan Mahmoudi Shamsabad, Mohammad Reza Esmaeilian, Gordon Ferns, Mohammad Reza Saberi, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…The framework integrated diverse ML algorithms, including Linear Regression (LR), Decision Trees (DT), Support Vector Machine (SVM), Random Forest (RF), Balanced Bagging (BG), Gradient Boosting (GB), and Convolutional Neural Networks (CNNs). …”
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