Development and Validation of Procedures for Determination of Elemental Toxicants in Herbal Substances and Herbal Medicinal Products by V. M. Shchukin, N. E. Kuz’mina, Yu. N. Shvetsova, A. I. Luttseva

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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm by Vladimir A. Golovkov

“…Investigation of the problem of adaptive linear prediction of random processes by a non - recursive linear filter implementing a sequential regression algorithm for infinitely and finitely differentiable random processes.Materials and methods. …”
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Surface-Enhanced Raman Spectroscopy (SERS) Method for Rapid Detection of Neomycin and Chloramphenicol Residues in Chicken Meat by Yan Wu, Junshi Huang, Ni Tong, Qi Chen, Fang Peng, Muhua Liu, Jinhui Zhao, Shuanggen Huang

“…A total of 400 chicken meat samples were used for the classification, of which 268 samples and 132 samples were used as the training sets and the test sets, respectively. …”
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Development of regional mixed-effects height–diameter models for natural black pine stands by Ramazan Ozçelik, Onur Alkan

“…In this study, linear mixed-effects height-diameter models were developed for natural black pine (Pinus nigra J. …”
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Rupture Termination in Laboratory‐Generated Earthquakes by Chun‐Yu Ke, Gregory C. McLaskey, David S. Kammer

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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

“…The POL mechanism employs Lambda layers within a linear framework, significantly enhancing the classification speed and accuracy compared to traditional attention mechanisms that suffer from quadratic complexity and non-linear structures. …”
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Multi-label feature selection via dual HSIC and sparse regularization by LI Bangna, HE Xingshi, ZHU Junwei

“…This method introduces dual HSIC as a regular term on the basis of linear mapping to enhance the dependency between pseudo-label space and feature space, and enhance the dependency between pseudo-label space and real label space, respectively. …”
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Security situational awareness of power information networks based on machine learning algorithms by Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan

“…A perception model outlines the consequences of the abstracted perception problem. Sample data is initially pre-processed using linear discriminant analysis methods to optimise the data, get integrated features, and ascertain the best projection. …”
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Short Utterance Speaker Recognition Based on Speech High Frequency Information Compensation and Dynamic Feature Enhancement Methods by Yunfei ZI, Shengwu XIONG

“…To address this issue, we propose the Bark-scaled Gauss and the linear filter bank superposition cepstral coefficients (BGLCC), and the multidimensional central difference (MDCD) acoustic feature extracted method. …”
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Double machine learning and design in batch adaptive experiments by Li Harrison H., Owen Art B.

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The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

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Using morphological measurements to predict subspecies of Midcontinent sandhill cranes by Jay A. VonBank, David A. Brandt, Aaron T. Pearse, David B. Wester, Bart M. Ballard

“…Additionally, we identified measurement thresholds based on posterior probabilities of correct classification to aid in subspecies determination when the linear discriminant procedure provided equivocal results. …”
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Integrated assessment of groundwater hydrogeochemistry and quality using multivariate statistical analysis, self-organizing maps, and water quality indices in District Bagh, AJK, P... by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Cuihong Han, Shoukat Husain Khan, Shuxin Li

“…This study evaluates the hydrochemistry and quality of groundwater using an integrated approach that includes Multivariate Statistical Analysis, Self-Organizing Maps, Weighted Arithmetic Water Quality Index, Multiple Linear Regression and Irrigation Water Quality Indices. …”
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Nonlinear dose–response relationship between prognostic nutritional index and short-term outcome in acute ischemic stroke: a prospective cohort study by Juan Wang, Xiongbin Cao, Shan Zeng, Li Zhou, Jianping Huang, Yong Han, Zhe Deng

“…Additionally, the study revealed a non-linear association between PNI and 90-day, identifying an inflection point at PNI = 49.3. …”
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STRUCTURAL RELIABILITY ANALYSIS BASED ON AN IMPROVEMENT OF THE RESPONSE SURFACE METHOD by ZHANG XueGang

“…In order to reduce sample points and make full use of information resources of sample points, an improvement of the response surface method for structural reliability analysis was developed, that structural reliability index was regarded as convergence condition. …”
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Simultaneous determination of 101 volatile organic compounds released from plastic runway tracks based on the environmental chamber-canister sampling-three-stage cold trap preconce... by Gan Liu, Gan Liu, Yong Ma, Yong Ma, Hong Wang, Hong Wang, Yanrong Meng, Yanrong Meng, Yu Huang, Yu Huang, Weitao Zheng, Weitao Zheng

“…The established simultaneous determination of VOCs based on the environmental chamber-canister sampling-three-stage cold trap preconcentration-GC-MS/FID method showed good linear and correlation relationships, high sensitivity and precision, and strong repeatability, which is suitable for the qualitative and quantitative detection of 101 kinds of VOCs from plastic athletic tracks. …”
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Association between Dopamine Receptor D2 (DRD2) Variations rs6277 and rs1800497 and Cognitive Performance According to Risk Type for Psychosis: A Nested Case Control Study in a Fin... by Hugh Ramsay, Jennifer H Barnett, Jouko Miettunen, Sari Mukkala, Pirjo Mäki, Johanna Liuhanen, Graham K Murray, Marjo-Riitta Jarvelin, Hanna Ollila, Tiina Paunio, Juha Veijola

“…The subjects of the Oulu Brain and Mind Study were drawn from the general population-based Northern Finland 1986 Birth Cohort (NFBC 1986). Using linear regression, we compared the associations between cognitive performance and two candidate DRD2 polymorphisms (rs6277 and rs1800497) between subjects having familial (n=61) and clinical (n=45) risk for psychosis and a random sample of participating NFBC 1986 controls (n=74). …”
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Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…The obtained detection and noise immunity characteristics for ultrashort and short signal samples allow us to recommend the parametric Burg harmonic mean method, implemented on the basis of a forward and backward linear prediction algorithm, as an independent signal processing method under strict restrictions imposed on the size of the analyzed sample of spatial-temporal signals.…”
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Preparation and Characterization of Unactivated, Activated, and γ-Fe₂O₃ Nanoparticle-Functionalized Biochar from Rice Husk via Pyrolysis for Dyes Removal in A... by Diego Barzallo, Edwuin Carrasquero, Mónica Andrade, Daniel Alejandro Heredia Jara, Paúl Palmay

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Competitive Electrochemical Apta-Assay Based on cDNA–Ferrocene and MXenes for <i>Staphylococcus aureus</i> Surface Protein A Detection by Ana-Maria Tătaru, Alexandra Canciu, Alin-Dan Chiorean, Ioana Runcan, Alexandru Radu, Mădălina Adriana Bordea, Maria Suciu, Mihaela Tertiș, Andreea Cernat, Cecilia Cristea

“…The aptasensor displayed a linear range of 10–125 nM, an LOD of 3.33 nM, and a response time under 40 min. …”
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