Results 131 to 140 of about 1,506,457 (286)

Improving the Physicochemical Properties, Organic Acids, Amino Acids, Volatile Organic Compounds, and Metabolites of Laohan Melon Juice Through Fermentation With Different Lactic Acid Bacteria

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Fermentation with lactic acid bacteria could improve amino acids, volatile organic compounds (VOCs), and nonvolatile metabolites of Laohan melon juice (LMJ), which provides theoretical guidance for the development of Laohan melon beverage and advances knowledge of the metabolic mechanisms of VOCs in LMJ.
Yun Xie, Sihan Hou, Mingdong Tan, Jianqiao Jiang, Yue Hu, Yiwen Chen, Yongkang Li, Miao Cui, Jianming Niu, Weidong Cheng, Xilei Pu, Yuyun He, Feifei Gao   +12 more
wiley   +1 more source

Major Depressive Disorder and Chronic Fatigue Syndrome Show Characteristic Heart Rate Variability Profiles Reflecting Autonomic Dysregulations: Differentiation by Linear Discriminant Analysis. [PDF]

Sensors (Basel), 2023
Shinba T, Kuratsune D, Shinba S, Shinba Y, Sun G, Matsui T, Kuratsune H.   +6 more
europepmc   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis. [PDF]

Comput Intell Neurosci, 2021
Zhang G, Yang Q, Li G, Leng J.
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Discrimination of the Red Jujube Varieties Using a Portable NIR Spectrometer and Fuzzy Improved Linear Discriminant Analysis. [PDF]

Foods, 2022
Qi Z, Wu X, Yang Y, Wu B, Fu H.
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

A COMPARATIVE STUDY OF HUMAN FACES RECOGNITION USING PRINCIPLE COMPONENTS ANALYSIS AND LINEAR DISCRIMINANT ANALYSIS TECHNIQUES

Journal of Engineering and Sustainable Development, 2016
This paper presents a comparative study of human faces recognition using two feature extraction techniques: Principle Components Analysis (PCA), and Linear Discriminant Analysis (LDA).
Anas Fouad Ahmed
doaj  

Human Angiotensin I-Converting Enzyme Produced by Different Cells: Classification of the SERS Spectra with Linear Discriminant Analysis. [PDF]

Biomedicines, 2022
Boginskaya I, Safiullin R, Tikhomirova V, Kryukova O, Nechaeva N, Bulaeva N, Golukhova E, Ryzhikov I, Kost O, Afanasev K, Kurochkin I.   +10 more
europepmc   +1 more source