Hyperspectral-driven PSO-SVM model and optimized CNN-LSTM-Attention fusion network for qualitative and quantitative non-destructive detection of adulteration in strong-aroma Baijiu.

Baijiu adulteration practices, driven by profit motives, seriously endanger consumer health and disrupt the market. This study combined hyperspectral imaging with deep learning for adulteration detection. In the classification of authentic and adulterated samples, PSO-SVM achieved 97.

A study on time-series prediction and analysis of acidity of Daqu based on multivariate data fusion and KNN-Attention-LSTM-XGBoost modeling.

Daqu is a traditional Chinese brewing ingredient that serves dual functions of saccharification and fermentation during the brewing process. The acidity content during the Daqu fermentation process directly affects the quality of the Daqu. Traditional methods for measuring Daqu acidity are complex and exhibit lag, making it difficult to monitor fermentation acidity in real time.

Predicting the composition of aroma components in Baijiu using hyperspectral imaging combined with a replication allocation strategy-enhanced stacked ensemble learning model.

Ester and acid aroma compounds are crucial components affecting the fragrance of Baijiu, and their composition can endow the Baijiu with a fruity, acidic, floral, or roasted aroma. This study aims to quantitatively detect the ester and acid content in Soy Sauce-Aroma Type Baijiu (SSAB) using hyperspectral imaging (HSI) technology and a stacked ensemble learning (SEL) model. To mitigate the impact of data imbalance, an improved oversampling technique known as the replication allocation strategy (RAS) was utilized.

Effect of metal ions in Baijiu on cluster formation of water, ethanol, acetic acid and ethyl acetate molecules: Molecular dynamics and density functional theory studies.

Metal ions in Baijiu play an important role in the formation of liquor flavor, but their molecular mechanism has not been studied yet. In this study, molecular dynamics was used to calculate the radial distribution function (RDF), coordination number, and mean square displacement (MSD) of K, Ca, and Fe in water, ethanol, acetic acid, and ethyl acetate systems. Density functional theory was used to determine the binding energy, geometric configuration, and charge distribution of different clusters.

Rapid determination of starch and alcohol contents in fermented grains by hyperspectral imaging combined with data fusion techniques.

Starch and alcohol serve as pivotal indicators in assessing the quality of lees fermentation. In this paper, two hyperspectral imaging (HSI) techniques (visible-near-infrared (Vis-NIR) and NIR) were utilized to acquire separate HSI data, which were then fused and analyzed toforecast the starch and alcohol contents during the fermentation of lees. Five preprocessing methods were first used to preprocess the Vis-NIR, NIR, and the fused Vis-NIR and NIR data, after which partial least squares regression models were established to determine the best preprocessing method.

Mechanistic studies of adsorption and ion exchange of Si(OH) molecules on the surface of scorodites.

Scorodites are commonly used for arsenic immobilization, and it is also the main component of arsenic bearing tailings. Alkali-activated geopolymers are commonly used to landfill arsenic-bearing minerals. However, there no previous studies have explored the interaction between geopolymer molecules and the surface of scorodite.

Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging.

Background: Wheat is one of the key ingredients used to make Chinese liquor, and its saccharification power and protein content directly affect the quality of the liquor. In pursuit of a non-destructive assessment of wheat components and the optimization of raw material proportions in liquor, this study introduces a precise predictive model that integrates hyperspectral imaging (HSI) with stacked ensemble learning (SEL).

Results: This study extracted hyperspectral information from 14 different varieties of wheat and employed various algorithms for preprocessing.

Multicomponent hyperspectral grade evaluation of ilmenite using spectral-spatial joint features.

Obtaining a comprehensive understanding of ore grade information is of significant importance for evaluating the value of ore. However, the real-time detection of multicomponent grade needs more effective online methods. This study proposes a novel approach utilizing hyperspectral imaging (HSI) to evaluate the grade information of nine major ilmenite components by integrating spectral and spatial data.

First principles study of structural and electron properties in scorodite: the bulk and surface.

Scorodite (FeAsO·2HO) is an ideal material for the fixation of arsenic that has attracted considerable research interest in recent decades. However, the position of the H atom in the scorodite crystal structure, water molecular configuration, surface morphology, and chemical state of the surface atoms have not been reported. In this work, density functional theory (DFT) is used to optimize the scorodite crystal structure, and the atomic bonding is analyzed.

Atomic reconstruction and oxygen adsorption behavior of the pyrite (100) surface: a DFT study.

The analysis of the surface chemical behavior of pyrite is highly crucial in the fields of environmental conservation, metal extraction, and flotation separation. In this paper, the mechanism of atomic reconstruction on the pyrite surface and the adsorption behavior of O on a reconstructed surface are calculated by density functional theory (DFT). Different reconstruction surfaces were constructed by deleting S and Fe atoms on the (100) surface of pyrite.

Rapid nondestructive detecting of sorghum varieties based on hyperspectral imaging and convolutional neural network.

Background: The purity of sorghum varieties is an important indicator of the quality of raw materials used in the distillation of liquors. Different varieties of sorghum may be mixed during the acquisition process, which will affect the flavor and quality of liquor. To facilitate the rapid identification of sorghum varieties, this study proposes a sorghum variety identification model using hyperspectral imaging (HSI) technology combined with convolutional neural network (AlexNet).

Accuracy of the trough position in expansive open-door cervical laminoplasty using computer navigation techniques: a single-centre retrospective study.

Purpose: This study aims to assess whether computer navigation can improve the accuracy of the trough position and clinical outcomes of expansive open-door cervical laminoplasty (EOLP).

Methods: We reviewed a single centre of 28 conventional EOLP and 24 computer navigation EOLP cases. The conventional group had 102 laminae while the navigation group had 88.

Nondestructive visualization and quantification of total acid and reducing sugar contents in fermented grains by combining spectral and color data through hyperspectral imaging.

Total acid content (TAC) and reducing sugar content (RSC) are important evaluation indicators for the quality of fermented grains. In this study, the TAC and RSC of fermented grains were quantified using hyperspectral imaging (HSI). Two combined algorithms were used to extract the characteristic wavelengths of TAC and RSC.

Rapid and nondestructive determination of sorghum purity combined with deep forest and near-infrared hyperspectral imaging.

This study combined hyperspectral imaging (HSI) and deep forest (DF) to develop a reliable model for conducting a rapid and nondestructive determination of sorghum purity. Isolated forest (IF) algorithm and principal component analysis (PCA) were used to remove the abnormal data of sorghum grains. Competitive adaptive reweighted sampling (CARS) algorithm and successive projections algorithm (SPA) were combined and used to extract the characteristic wavelengths.

Rapid and nondestructive prediction of amylose and amylopectin contents in sorghum based on hyperspectral imaging.

The contents of amylose and amylopectin in sorghum directly affects the quality and yield of liquor. Hyperspectral imaging (HSI) is an emerging technology widely applied in the content analysis of food ingredients. In this study, the effects of different preprocessing methods on visible-light and near-infrared spectral data were analyzed, and the prediction accuracies of these spectral data were compared.

Application of hyperspectral technology in detection of agricultural products and food: A Review.

Food is the foundation of human survival. With the development and progress of society, people increasingly focus on the problems of food quality and safety, which is closely related to human's health. Thus, the whole industrial chain from farmland to dining table need to be strictly controlled.

Effect of Alpina oxyphylla extract on streptozotocin-induced kidney injure via regulating TGF-β1 and MyD88.

Background: Abnormal renal metabolism is closely related to the development of chronic kidney disease. It is well known that renal inflammation plays an important role in the occurrence and development of tubulointerstitial damage in the renal tubules. The purpose of the experiment was to observe the bioactivity of Alpina oxyphylla extract (AOE) on renal injury in diabetic nephropathy (DN) rats induced by streptozotocin (STZ).

Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging.

This paper proposes a sorghum adulteration detection model using hyperspectral imaging technology (HSI), image processing technology, and multivariate analysis technology. The model used a watershed algorithm to extract hyperspectral data from sorghum grains. Principal component analysis (PCA) and clustering analysis (CA) were used to remove abnormal samples of sorghum.

Rapid determination of pit mud moisture content using hyperspectral imaging.

Lack of moisture can lead to the aging of pit mud, excessive moisture will make it difficult to maintain its shape or even collapse. Therefore, a rapid and nondestructive detection technology for moisture in pit mud using hyperspectral imaging was firstly investigated. Modeling efficiency of various processing was compared in visible (400-1,000 nm) and near-infrared (900-1,700 nm) regions, and the optimal model was SNV-SPA-SVM in near-infrared spectroscopy; the and RMSEP of model were .

[Effect of bloodletting acupuncture at twelve -well points of hand on microcirculatory disturbance in mice with traumatic brain injury].

Objective: To observe the effect of bloodletting acupuncture at twelve -well points of hand on microcirculatory disturbance in mice with traumatic brain injury (TBI), and to explore the protective effect of bloodletting therapy on TBI.

Methods: Sixty clean adult male C57BL/6J mice were randomly divided into a sham-operation group, a model group and a treatment group, 20 mice in each group. The TBI model was established by using electronic controlled cerebral cortex impact instrument in the model group and the treatment group.

Modified Lumbosacral Angle and Modified Pelvic Incidence as New Parameters for Management of Pediatric High-grade Spondylolisthesis.

Study Design: Retrospective clinical study.

Objective: We aimed to introduce new parameters that can better describe the pelvic morphology and lumbosacral segmental deformity in children with high-grade spondylolisthesis of the L5 vertebra: modified pelvic incidence (mPI) and modified lumbosacral angle (mLSA). Also, we aimed to establish the mLSA as a convenient, reliable measurement method and criteria to evaluate the reduction of L5 vertebral slippage.

Effects of emergency cervical cerclage on pregnancy outcome: a retrospective study of 158 cases.

The aim of this study was to evaluate the effectiveness and safety of emergency cervical cerclage in women with advanced cervical dilatation and bulging of fetal membranes. The study included 158 women who underwent emergency cervical cerclage because of cervix dilatation and protruding membranes in mid-trimester at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Pregnancy outcomes and pregnancy outcome related to clinical features were analyzed retrospectively.

Pollination ecology and pollination system of Impatiens reptans (Balsaminaceae) endemic to China.

Background And Aims: China is one of the centres of geographical distribution of Impatiens L. Studies of the pollination ecology of this genus in China have, until now, been unreported. Impatiens reptans, a species endemic to China, was studied.