jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Fabio Granados-Chinchilla
Source: International Journal of Physics & Chemistry Education (article, 2024-07-04)
Field: Chemistry — Physical and Theoretical Chemistry

Teaching food analysis through unknowns: Study case for methylxanthines, organic acids, and sugars examination over liquid chromatography Three laboratory sessions are described, each one focused on a distinct group of analytes (i.e., 1. Methylxanthines, 2. Organic acids 3. Sugars). To study each analyte group, food profiling was achieved using liquid chromatography; where each analyte (n = 3, 15, and 5 analytes for methylxanthines, organic acids, and sugars, respectively) was identified and quantified. Different food samples (including beverages, powders, cereals, and dairy products) were given to students who within each class knew the possible identities of the group of samples given but had to pair, after examination, the resulting profiles obtained with each food sample as the food samples were unidentified (unknowns). Quali/Quantitative data were recollected from the resulting chromatograms after each food was subjected to analysis. For organic acids, solid phase extraction and potentiometry were used as tools to demonstrate separation science from colored drinks as sample pretreatment and as a classic alternative for instrumental analysis. Chemistry ; Chromatography ; Organic chemistry Various Chemistry Research Topics
Source: ARPN Journal of Engineering and Applied Sciences (article, 2024-07-07)
Field: Chemistry — Inorganic Chemistry

Arduino-Based automatic cutting tool for coconut shell charcoal briquettes Coconut shell waste is underutilized due to the high demand for coconut in Indonesia. To maximize the use value of the material, coconut shells are converted into biomass energy, specifically charcoal briquettes. Due to the rapid advancement of technology today, it is necessary to use equipment that can run automatically to increase productivity, reduce production time, and lower production costs. This research was conducted to make an automatic cutting tool based on an Arduino microcontroller. The first process identified with literature studies related to automatic briquette cutting tools. The second process is conceptualised by assessing several design variants, then the highest value is taken. The third process is designing by making detailed drawings per component. The fourth process of completing the design by assembling all the components that have been made, and then testing the Arduino-based automatic cutting tool. The results obtained by the automatic cutting tool produce a cutting consistency of 77.5% and produce a residue of 22.5%. From the test data, the Arduino-based automatic cutting tool can work more effectively and efficiently to increase production capacity. Briquette ; Charcoal ; Shell (structure) ; Arduino ; Environmental science ; Computer science ; Pulp and paper industry ; Materials science ; Engineering ; Waste management ; Operating system ; Composite material ; Metallurgy Coconut Research and Applications ; Agricultural and Environmental Management ; Food and Agricultural Sciences
Authors: Victor A. Korshunov
Source: NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY (article, 2024-04-24)
Field: Materials Science — Biomaterials

ENHANCEMENT OF LTP AFTER SYSTEM ADMINISTRATION OF LOW NON-TOXIC DOSES OF NMDA-RECEPTOR ANTAGONIST 20 !2024 . . , . 2005 2024 . 20 7329 , 8130 1260 , 285 45 . 305 10 , 98 -9 , 148 -8 , 152 -7 , 207 -6 , 288 -5 , 449 -4 , 676 -3 , 1393 -2 . 2024 . 214 .2957 (36,4%) 2 . : 308 20 ; 247 30 ( -93 , 49 26 ); 146 , ; 41 10 ; 76 , , 11 ; 86 ; 24 , , -, - ; 20 -; 18 ; 13 - ; 113 , , , , , . 2005 2024 . : 16 (303 ); 4 - (17 ); 46 (490 , 41 25 ); 21 -; 7 ; 7 3 . , 27 , 20 - , 2302 , 1136 3153 . X-XIII 21 : 9 12 : , , . , ! XX ! , , : , ...; , .. NMDA receptor ; Antagonist ; Long-term potentiation ; Pharmacology ; Competitive antagonist ; Receptor antagonist ; Chemistry ; Neuroscience ; Receptor ; Medicine ; Internal medicine ; Biology Nanoparticle-Based Drug Delivery ; Neuropeptides and Animal Physiology ; Enzyme function and inhibition
Authors: S. L. Lu | Ryosuke Akashi | Mitsuaki Kawamura | Shinji Tsuneyuki
Source: arXiv (Cornell University) (preprint, 2024-11-15)
Field: Chemistry — Inorganic Chemistry

Assessing the possible superconductivity in doped perovskite hydride KMgH$_3$: Effects of lattice anharmonicity and spin fluctuations The superconducting properties of uniformly hole-doped perovskite hydride KMgH$_3$ with varying doping concentration and lattice parameter corresponding to different pressures were investigated from first principles. The superconducting transition temperature ($T_{\mathrm{c}}$) was predicted from the density functional theory for superconductors (SCDFT), where the effects of lattice anharmonicity and spin-fluctuation were considered and examined. Although lattice anharmonicity tends to suppress superconductivity around the edge of dynamical stability, where the phase is stabilized due to anharmonic effects, $T_{\mathrm{c}}$ is enhanced. In the hole-doped \ce{KMgH3}, substantial spin-fluctuation (SF) effects were discovered, which counters the phonon-mediated pairing and decreases $T_{\mathrm{c}}$. Such anomalously strong SF is evaluated for similar hydrides, where the hydrogen 1-$s$ bands are isolated at the Fermi level, and its correlation with the electronics density of states was explored. Anharmonicity ; Superconductivity ; Condensed matter physics ; Doping ; Lattice (music) ; Perovskite (structure) ; Hydride ; Spin (aerodynamics) ; Materials science ; Physics ; Chemistry ; Quantum mechanics ; Crystallography ; Thermodynamics ; Hydrogen Inorganic Chemistry and Materials ; Inorganic Fluorides and Related Compounds ; Superconducting Materials and Applications
Authors: ณิชกานต์ เติมสายทอง | รุ่งโรจน์ จินตเมธาสวัสดิ์ | เกียรติวุฒิ ประเสริฐสุข | มติ ห่อประทุม | ระพีพันธ์ แก้วอ่อน
Source: วารสารงานวิจัยและพัฒนาเชิงประยุกต์ โดยสมาคม ECTI (article, 2024-08-29)
Field: Chemistry — Analytical Chemistry

การพฒนาเทคนคการตรวจวดเชงแสงแบบไมทำลายสำหรบการตรวจสอบการมอยและประเภทการเคลอบผวของทลคมในแปงเดกและแปงบรโภค บทความนี้เสนอวิธีการตรวจจับการใช้แร่ทัลคัม และการจำแนกประเภทการเคลือบผิวของแร่ทัลคัม ซึ่งแร่ดังกล่าวถูกนำมาใช้เป็นส่วนประกอบหลักในอุตสาหกรรมและผลิตภัณฑ์ดูแลส่วนบุคคล โดยใช้การตรวจวัดเชิงแสงแบบไม่ทำลายด้วยเทคนิคสเปกโตรสโคปี (Spectroscopy) ในย่านอินฟราเรดกลาง (Mid-IR) และอินฟราเรดไกล (Far-IR) ซึ่งในงานนี้จะใช้เครื่อง Fourier Transform Infrared Spectroscopy (FT-IR) ทำการเก็บข้อมูลสเปกตรัมทั้งหมด และข้อมูลสเปกตรัมที่ได้จะถูกนำมาวิเคราะห์โดยการเรียนรู้ของเครื่อง (Machine Learning) จากผลการทดลองพบว่า หากใช้โมเดล Gaussian Naive Bayes (Gaussian NB) ในการทำนายแร่ทัลคัมบริสุทธิ์จำนวน 45 สเปกตรัมการวัด พบว่า เทคนิคนี้จะสามารถจำแนกประเภทการเคลือบผิวของทัลคัมได้อย่างถูกต้องถึง 98.18% และ 95.27% ในย่านอินฟราเรดกลางและอินฟราเรดไกลตามลำดับ และโมเดล Gaussian Naive Bayes (Gaussian NB) ถูกนำมาฝึกฝนเพิ่มเติมโดยใช้สเปกตรัมที่เก็บมาจากผลิตภัณฑ์จริงจำนวน 200 สเปกตรัม เพื่อนำมาใช้ในการจำแนกระหว่างผลิตภัณฑ์แป้งฝุ่นที่มีส่วนผสมทัลคัมและปราศจากทัลคัม จากผลการทดสอบพบว่า ในย่านอินฟราเรดกลาง โมเดลมีความถูกต้องในการจำแนกอยู่ที่ 95.56% ในผลิตภัณฑ์แป้งเด็ก และ 91.73% ในผลิตภัณฑ์แป้งบริโภค ในขณะที่ในย่านอินฟราเรดไกล โมเดลมีความถูกต้องในการจำแนกมากกว่า และอยู่ที่ 97.78% ในผลิตภัณฑ์แป้งเด็ก และ 100% ในผลิตภัณฑ์แป้งบริโภค จากผลการทดสอบทั้งหมดแสดงให้เห็นถึงศักยภาพในการนำเทคนิคที่เสนอนี้ไปใช้ในการตรวจจับทัลคัมและประเภทการเคลือบแร่ทัลคัมในผลิตภัณฑ์แป้งฝุ่น ที่จะช่วยลดการพึ่งพาผู้เชี่ยวชาญ ลดต้นทุน และเพิ่มความมั่นใจในคุณภาพและความปลอดภัยของผลิตภัณฑ์แป้งฝุ่น Gaussian ; Naive Bayes classifier ; Fourier transform infrared spectroscopy ; Bayes' theorem ; Gaussian process ; Fourier transform ; Spectroscopy ; Infrared spectroscopy ; Fourier transform spectroscopy ; Artificial intelligence ; Analytical Chemistry (journal) ; Pattern recognition (psychology) ; Computer science ; Mathematics ; Materials science ; Physics ; Chemistry ; Optics ; Bayesian probability ; Support vector machine ; Chromatography ; Computational chemistry ; Astronomy ; Mathematical analysis Spectroscopy and Chemometric Analyses
Authors: Jiarui Fang | Pan, Jinzhe | Aoyu Li | Sun, Xibo | Jiannan Wang
Source: arXiv (Cornell University) (preprint, 2024-05-23)
Field: Materials Science — Electronic, Optical and Magnetic Materials

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference This paper presents PipeFusion, an innovative parallel methodology to tackle the high latency issues associated with generating high-resolution images using diffusion transformers (DiTs) models. PipeFusion partitions images into patches and the model layers across multiple GPUs. It employs a patch-level pipeline parallel strategy to orchestrate communication and computation efficiently. By capitalizing on the high similarity between inputs from successive diffusion steps, PipeFusion reuses one-step stale feature maps to provide context for the current pipeline step. This approach notably reduces communication costs compared to existing DiTs inference parallelism, including tensor parallel, sequence parallel and DistriFusion. PipeFusion enhances memory efficiency through parameter distribution across devices, ideal for large DiTs like Flux.1. Experimental results demonstrate that PipeFusion achieves state-of-the-art performance on 8$\times$L40 PCIe GPUs for Pixart, Stable-Diffusion 3, and Flux.1 models. Our source code is available at https://github.com/xdit-project/xDiT. Transformer ; Inference ; Pipeline (software) ; Parallel computing ; Computer science ; Parallelism (grammar) ; Artificial intelligence ; Programming language ; Engineering ; Electrical engineering ; Voltage Magnetic Properties and Applications
Authors: Zhangyang Xu | Rongge Zou | Nina Horn | Reta Birhanu Kitata | Tujin Shi
Source: Methods in molecular biology (article, 2024-01-01)
Field: Chemistry — Spectroscopy

Robust Surfactant-Assisted One-Pot Sample Preparation for Label-Free Single-Cell and Nanoscale Proteomics Proteomics ; Proteome ; Sample preparation ; Nanotechnology ; Single-cell analysis ; Nanoscopic scale ; Computational biology ; Chromatography ; Cell ; Chemistry ; Materials science ; Biology ; Biochemistry Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Biosensors and Analytical Detection
Authors: Le Thi Trang | Le Xuan Thuy | Nguyen Le Thai | Thuc Bui
Source: Indonesian Journal of Electrical Engineering and Computer Science (article, 2024-04-05)
Field: Materials Science — Materials Chemistry

Effects of Pr3+ -activated BaZrGe3O9@TiO2 phosphor compound on light emitting diodes validated by computer simulation The Pr&lt;sup&gt;3+&lt;/sup&gt; -doped BaZrGe&lt;sub&gt;39&lt;/sub&gt; gallogermanate phosphors are reported to have a well-defined successive deep defect structure that effectively mitigates thermal carrier fading. This phosphor also presents a red emission with a peak at 615 nm, originating from the Pr&lt;sup&gt;3+&lt;/sup&gt; transtition from &lt;sup&gt;1&lt;/sup&gt;D&lt;sub&gt;2&lt;/sub&gt; to &lt;sup&gt;3&lt;/sup&gt;H&lt;sub&gt;4&lt;/sub&gt;. We investigated the impact of Pr&lt;sup&gt;3+&lt;/sup&gt; -activated BaZrGe3O9 (referred to as BZG:Pr) on the lighting characteristics of light emitting diodes (LED) packages in this paper. By combining BZG:Pr with TiO&lt;sub&gt;2&lt;/sub&gt; particles and silicone, we produced a phosphor layer (designated as BZG:Pr@TiO&lt;sub&gt;2&lt;/sub&gt;). The optical performance of the resulting LED was systematically examined by varying the TiO&lt;sub&gt;2&lt;/sub&gt; doping percentage. Our findings reveal that the incorporation of the BZG:Pr phosphor enhances the red spectral component, thereby contributing to improved homogeneity in color distribution. However, a progressive increase in TiO&lt;sub&gt;2&lt;/sub&gt; content within the phosphor layer corresponds to diminishing luminous output and decreased chromatic rendering efficiency of the LED. Employing a lower concentration of TiO&lt;sub&gt;2&lt;/sub&gt; proves advantageous, as it capitalizes on the scattering-enhancing attributes while leveraging the red emission of the BZG:Pr phosphor. This synergistic approach yields a favorable balance between luminosity and color quality, enhancing the LED’s overall performance. Phosphor ; Doping ; Diode ; Light-emitting diode ; Materials science ; Analytical Chemistry (journal) ; Chemistry ; Optoelectronics Luminescence Properties of Advanced Materials ; Transition Metal Oxide Nanomaterials
Authors: Benedikt Haas | Christoph T. Koch | Peter Rez
Source: arXiv (Cornell University) (preprint, 2024-08-17)
Field: Materials Science — Surfaces, Coatings and Films

Perspective on Atomic-Resolution Vibrational Electron Energy-Loss Spectroscopy Instrumentation developments in electron energy-loss spectroscopy (EELS) in the scanning transmission electron microscope (STEM) one decade ago paved the way for combining milli-electronvolt energy resolution in spectroscopy with Ångström-sized electron probes, unlocking unexplored realms for solid state physics at the nanometer-scale. The fundamental understanding of the scattering processes involved has made it possible to separate atomically localized signals, providing insights into vibrations at the atomic scale. In this Letter, we outline the experimental, conceptual and theoretical advances in this field and also make comparisons with tip-based optical techniques before discussing future perspectives of this exciting technique. Optimization of dark-field signal collection will play a fundamental role in making this technique more widely applicable to a range of materials problems. The benefits of adding momentum-resolution will also be discussed and a powerful acquisition scheme proposed. Electron energy loss spectroscopy ; Spectroscopy ; Perspective (graphical) ; Resolution (logic) ; Electron ; Atomic physics ; High resolution electron energy loss spectroscopy ; Physics ; Materials science ; Computer science ; Nuclear physics ; Quantum mechanics ; Artificial intelligence Electron and X-Ray Spectroscopy Techniques ; Advanced Materials Characterization Techniques ; Advanced Electron Microscopy Techniques and Applications
Authors: Oxana Kundupyan | Eugeny Aydarkin | K. Eugeny | Yulia Kundupyan | A. N. Starostin
Source: NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY (article, 2024-04-24)
Field: Chemistry — Physical and Theoretical Chemistry

THE EFFECT OF AROMACORRECTION ON NEUROPHYSIOLOGICAL CORRELATIONS OF SHORT-TERM MEMORY OF FOREIGN STUDENTS Neurophysiology ; Term (time) ; Computer science ; Short-term memory ; Cognitive psychology ; Psychology ; Neuroscience ; Working memory ; Cognition ; Physics Various Chemistry Research Topics ; Neuroscience, Education and Cognitive Function
Authors: Robson do N. Silva | Marcus Vinícius Alves Nunes | Allan R. A. Manito | André M. de Morais | Marcel A. de A. Romano | Vanessa Vivian de Almeida | Adriel B. da Silva | A.P Matos
Source: Congresso Brasileiro de Automática (article, 2024-10-18)
Field: Materials Science — Materials Chemistry

Poluição em Isoladores Elétricos de Alta Tensão: uma Revisão sobre Metodologias de Avaliação e Medidas Mitigadoras This article presents a detailed and updated review of the state of the art on the impact of pollution on electrical insulators applied to electrical power systems, highlighting the importance of pollution characterization and monitoring. It categorizes pollution into biological, industrial and natural, highlighting the pollution profiles found in the Amazon region, discussing how each type affects the efficiency of insulators. It also addresses the use of analytical and numerical models to model insulators affected by pollution and discusses techniques used to measure and analyze the severity of local pollution, and the operating conditions of insulators. Mitigation strategies such as periodic washing, use of hydrophobic coatings, and adjustments to insulator design to improve electric field distribution are discussed based on case studies. Pollution ; Amazon rainforest ; Insulator (electricity) ; Field (mathematics) ; Measure (data warehouse) ; Electricity High voltage insulation and dielectric phenomena ; Power Transformer Diagnostics and Insulation ; Recycling and Waste Management Techniques
Authors: Shen Fang | Siyi Zhang | Zeyu Li | Qingfei Fu | Chuanjian Zhou | Wang Hana | Lijun Yang
Source: arXiv (Cornell University) (preprint, 2024-10-13)
Field: Materials Science — Materials Chemistry

A data-driven sparse learning approach to reduce chemical reaction mechanisms Reduction of detailed chemical reaction mechanisms is one of the key methods for mitigating the computational cost of reactive flow simulations. Exploitation of species and elementary reaction sparsity ensures the compactness of the reduced mechanisms. In this work, we propose a novel sparse statistical learning approach for chemical reaction mechanism reduction. Specifically, the reduced mechanism is learned to explicitly reproduce the dynamical evolution of detailed chemical kinetics, while constraining on the sparsity of the reduced reactions at the same time. Compact reduced mechanisms are be achieved as the collection of species that participate in the identified important reactions. We validate our approach by reducing oxidation mechanisms for $n$-heptane (194 species) and 1,3-butadiene (581 species). The results demonstrate that the reduced mechanisms show accurate predictions for the ignition delay times, laminar flame speeds, species mole fraction profiles and turbulence-chemistry interactions across a wide range of operating conditions. Comparative analysis with directed relation graph (DRG)-based methods and the state-of-the-art (SOTA) methods reveals that our sparse learning approach produces reduced mechanisms with fewer species while maintaining the same error limits. The advantages are particularly evident for detailed mechanisms with a larger number of species and reactions. The sparse learning strategy shows significant potential in achieving more substantial reductions in complex chemical reaction mechanisms. Computer science ; Artificial intelligence ; Data science ; Machine learning Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Various Chemistry Research Topics
Authors: Victor A. Korshunov
Source: NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY (article, 2024-04-24)
Field: Materials Science — Biomaterials

ENHANCEMENT OF LTP AFTER SYSTEM ADMINISTRATION OF LOW NON-TOXIC DOSES OF NMDA-RECEPTOR ANTAGONIST NMDA receptor ; Antagonist ; Long-term potentiation ; Pharmacology ; Receptor antagonist ; Neuroscience ; Chemistry ; Receptor ; Medicine ; Biology ; Internal medicine Nanoparticle-Based Drug Delivery ; Neuropeptides and Animal Physiology ; Enzyme function and inhibition
Authors: Vishvajeet Savant | Aditya Shetti | Harish Sumant | Abhijit Suryawanshi | Chavan | J Aulakh | V Banga | S Mousavirad | F Tab | K Mollazade | S Rad | B Verma | J Guzman | E Peralta | Dr | S Avudaiappan | A Sangamithra | S Silpha Roselin | K Sherin Farhana | Visalakshi | Yuchen Kong | Shenghui Fang | Xianting Wu | Yan Gong | Renshan Zhu | Jian Liu | Yi Peng | Samrendra K Singha | K Sriram | Rakhee Vidyarthi | Tiwarib | Zahida Parveen | Muhammad Anzar Alam | Hina Shakir | Kuchekar | Yerigeri | Teresa Mary Philip | H Anita
Source: International Research Journal of Modernization in Engineering Technology and Science (article, 2024-03-09)
Field: Chemistry — Analytical Chemistry

Rice Crop Grain Quality Detector This survey paper explores recent advancements in the application of image processing and machine vision systems for automating the grading of rice, a crucial process for improving agricultural productivity in India, where rice is a staple food for approximately 65% of the population. With over 40,000 rice varieties grown worldwide, ensuring food quality has become a critical concern for public health. Analyzing the grades and quality of rice in the market can be a laborious task for individuals. Typically, the assessment of rice varieties and their quality relies on visual inspection by food quality managers, whose decision-making capabilities may be influenced by external factors. This paper discusses the implementation of image processing techniques to automate the grading process, mitigating the limitations of manual assessment. It reviews various procedures for determining the percentage and quality of rice grains based on their size. Crop ; Grain quality ; Agronomy ; Environmental science ; Quality (philosophy) ; Agricultural engineering ; Detector ; Biology ; Physics ; Engineering ; Optics Spectroscopy and Chemometric Analyses
Source: Malaysian Journal of Chemistry (article, 2024-02-26)
Field: Chemistry — Organic Chemistry

The Capabilities of Multiclass Support Vector Machine (MSVM) Training Algorithms in Grading Agarwood Essential Oil Agarwood ; Support vector machine ; Grading (engineering) ; Computer science ; Artificial intelligence ; Machine learning ; Algorithm ; Medicine ; Engineering ; Pathology Wood and Agarwood Research ; Traditional Chinese Medicine Analysis
Authors: Qi Wang | Pan Deng | Yuliang Jin
Source: arXiv (Cornell University) (preprint, 2024-10-31)
Field: Materials Science — Materials Chemistry

Gardner transition coincides with the emergence of jamming scalings in hard spheres and disks The Gardner transition in structural glasses is characterized by full-replica symmetry breaking of the free-energy landscape and the onset of anomalous aging dynamics due to marginal stability. Here we show that this transition also has a structural signature in finite-dimensional glasses consisting of hard spheres and disks. By analyzing the distribution of inter-particle gaps in the simulated static configurations at different pressures, we find that the Gardner transition coincides with the emergence of two well-known jamming scalings in the gap distribution, which enables the extraction of a structural order parameter. The jamming scalings reflect a compressible effective force network formed by contact and quasi-contact gaps, while non-contact gaps that do not participate in the effective force network are incompressible. Our results suggest that the Gardner transition in hard-particle glasses is a precursor of the jamming transition. The proposed structural signature and order parameter provide a convenient approach to detecting the Gardner transition in future granular experiments. Jamming ; Hard spheres ; SPHERES ; Physics ; Statistical physics ; Theoretical physics ; Condensed matter physics ; Quantum mechanics Material Dynamics and Properties ; Phase Equilibria and Thermodynamics ; Statistical Mechanics and Entropy
Authors: 鲁嘉滢 Lu Jiaying | 戴宇佳 Dai Yujia | 王悦悦 Wang Yueyue | 曾松伟 Zeng Songwei
Source: Laser & Optoelectronics Progress (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

近红外光谱转移和混合建模实现黄精多糖定量分析 为解决非均质样本预测模型的准确性和鲁棒性较低的问题，以黄精多糖为研究对象，提出了一种基于均质样本模型转移算法，并结合混合建模策略，建立不同物理状态混合预测模型。采用Stacking集成学习建立基本预测模型，引入径向基函数（RBF）神经网络转移近红外光谱，拟合不同物理状态样本光谱的非线性映射关系，通过调整吸光度矩阵窗口大小，使网络拟合效果趋于最优，确定近红外光谱转移函数。结果表明，经过RBF修正后的混合预测模型在测试集的拟合系数（R2）为0.991，均方根误差（RMSE）为0.497%，平均绝对误差（MAE）为0.383%。所提出的非线性转移算法能应对样本复杂性，降低样本表面形态、水分对建模的影响，提高了黄精多糖含量混合预测模型的精度和泛化能力。 Computer science Spectroscopy and Chemometric Analyses ; Water Quality Monitoring and Analysis