Abstract Objectives This study explored novel biomarkers that can affect the diagnosis and treatment in Alzheimer's Disease (AD) related to mitochondrial metabolism. Methods The authors obtained the brain tissue datasets for AD from the Gene Expression Omnibus (GEO) and downloaded the mitochondrial metabolism-related genes set from MitoCarta 3.0 for analysis. Differentially Expressed Genes (DEGs) were screened using the “limma” R package, and the biological functions and pathways were investigated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The LASSO algorithm was used to identify the candidate center genes and validated in the GSE97760 dataset. PMAIP1 with the highest diagnostic value was selected and its effect on the occurrence of AD by biological experiments. Results A sum of 364 DEGs and 50 hub genes were ascertained. GO and KEGG enrichment analysis demonstrated that DEGs were preponderantly associated with cell metabolism and apoptosis. Five genes most associated with AD as candidate central genes by LASSO algorithm analysis. Then, the expression level and specificity of candidate central genes were verified by GSE97760 dataset, which confirmed that PMAIP1 had a high diagnostic value. Finally, the regulatory effects of PMAIP1 on apoptosis and mitochondrial function were detected by siRNA, flow cytometry and Western blot. siRNA-PMAIP1 can alleviate mitochondrial dysfunction and inhibit cell apoptosis. Conclusion This study identified biomarkers related to mitochondrial metabolism in AD and provided a theoretical basis for the diagnosis of AD. PMAIP1 was a potential candidate gene that may affect mitochondrial function in Hippocampal neuronal cells, and its mechanism deserves further study. Alzheimers Alzheimer s (AD GEO (GEO metabolismrelated 30 3 0 3. (DEGs limma “limma package (GO (KEGG analyses GSE GSE9776 dataset PMAIP experiments 36 5 ascertained Then Finally siRNA blot siRNAPMAIP1 siRNAPMAIP siRNA-PMAIP cells GSE977 GSE97 GSE9

Pyroptosis has attracted attention due to its role in various cancers. Recently, gasdermins (GSDMs) involved in pyroptosis have been reported to be associated with several types of cancers. However, the role of GSDMs expression in the diagnosis and prognosis of gastric cancer (GC) is still not well understood. We analyzed the transcriptional and prognostic information and the role of GSDMs in patients with GC from TIMER, UALCAN, Human Protein Atlas (HPA), GEPIA, and Kaplan-Meier Plotter databases. The cBioPortal platform was used to discover the genetic alterations, significance, and networks of GSDMs. Furthermore, STRING, Cytoscape, and TIMER were used to explore functional enrichment and immunomodulation. GSDMB, GSDMC, GSDMD, and GSDME were more highly expressed in GC than in normal tissues in the TIMER database. Moreover, survival analyses in two databases showed that high expression of GSDME was related to shorter overall survival (OS) in patients with GC. Additionally, functional enrichment revealed that GSDMs may be involved in endopeptidase activity, peptidase regulatory activity, and cysteine peptidase activity. GSDMs correlated with infiltration levels of immune cells in GC, and GSDME correlated with the infiltrating level of CD4+ T, CD8+ T, neutrophils, macrophages, and dendritic cells. This study indicated the potential diagnostic and prognostic value of GSDMs in GC. Our results showed that GSDME could play a significant oncogenic role in GC diagnosis and prognosis. However, our bioinformatics analyses should be validated in further prospective studies. cancers Recently (GSDMs However (GC understood UALCAN HPA, HPA , (HPA) GEPIA KaplanMeier Kaplan Meier alterations significance Furthermore STRING Cytoscape immunomodulation GSDMB GSDMC GSDMD database Moreover OS (OS Additionally activity CD4 CD T CD8 neutrophils macrophages studies (HPA

ABSTRACT Objective: to explore associations and gender differences between OHI-seeking (online health information seeking) behaviors and eHealth (electronic health) literacy among Chinese university students. Methods: Online questionnaires of eHealth literacy scale and OHI-seeking behaviors created in software Wenjunxing were used in this survey. Chi-squared tests, t-test, and Pearson correlation analysis were performed using SPSS for data analysis. Results: Among 5,383 participants, 72.4% were girls, 77.5% lived in rural areas, 51.2% majored in liberal arts, 76.6% with low education parents. The average C-eHEALS scores of boys and girls were 26.53 ± 5.861 and 26.84 ± 5.816, respectively, with no significant difference (P = 0.084). The top three OHI-seeking behaviors for boys and girls, as well as for the C-eHEALS low and high groups, were “finding information about physical exercises” “reading or sharing health information via social media” “finding information about nutrition and diet”, all of which had significant gender and eHealth literacy differences. Conclusions: Gender and eHealth literacy differences should be focused for intervention when developing and implementing eHealth intervention training for parents and adolescents in schools and communities. Objective OHIseeking OHI seeking online electronic students Methods survey Chisquared Chi squared tests ttest, ttest t test, test t-test Results 5383 5 383 5,38 participants 724 72 4 72.4 775 77 77.5 areas 512 51 2 51.2 arts 766 76 6 76.6 CeHEALS C eHEALS 2653 26 53 26.5 5861 861 5.86 2684 84 26.8 5816 816 5.816 respectively P 0.084. 0084 0.084 . 0 084 0.084) groups finding exercises reading media diet, diet , diet” Conclusions communities 538 38 5,3 7 72. 77. 51. 76. 265 26. 586 86 5.8 268 8 581 81 5.81 008 0.08 08 3 5, 58 5. 00 0.0 0.

RESUMO Objetivo: Visa explorar associações e diferenças de gênero entre comportamentos de busca de OHI (busca de informações de saúde on-line) e letramento em e-Saúde (saúde eletrônica) entre estudantes universitários chineses. Métodos: Questionários on-line da escala de letramento em e-Saúde e comportamentos de busca de OHI criados no software Wenjunxing foram utilizados nesta pesquisa. Testes qui-quadrado, teste t e análise de correlação de Pearson foram realizados utilizando SPSS para análise de dados. Resultados: Dos 5.383 participantes, 72,4% eram meninas, 77,5% viviam em áreas rurais, 51,2% eram formados em artes liberais, 76,6% tinham pais com baixa escolaridade. As pontuações médias do C-eHEALS de meninos e meninas foram 26,53 ± 5,861 e 26,84 ± 5,816, respectivamente, sem diferença significativa (P = 0,084). Os três principais comportamentos de busca de IHO para meninos e meninas, bem como para os grupos baixo e alto do C-eHEALS, foram “encontrar informações sobre exercícios físicos”; “ler ou compartilhar informações de saúde através das redes sociais”; “encontrar informações sobre nutrição e dieta”, todos com diferenças significativas de gênero e de letramento em e-Saúde. Conclusões: As diferenças de gênero e de letramento em e-Saúde devem ser focadas na intervenção ao desenvolver e implementar formação de intervenção em e-Saúde para pais e adolescentes em escolas e comunidades. Objetivo online on line eSaúde Saúde eletrônica chineses Métodos pesquisa quiquadrado, quiquadrado qui quadrado, quadrado qui-quadrado dados Resultados 5383 5 383 5.38 participantes 724 72 4 72,4 775 77 77,5 rurais 512 51 2 51,2 liberais 766 76 6 76,6 escolaridade CeHEALS C eHEALS 2653 26 53 26,5 5861 861 5,86 2684 84 26,8 5816 816 5,816 respectivamente P 0,084. 0084 0,084 . 0 084 0,084) CeHEALS, eHEALS, encontrar físicos físicos” ler sociais sociais” dieta, dieta , dieta” eSaúde. Saúde. Conclusões comunidades 538 38 5.3 7 72, 77, 51, 76, 265 26, 586 86 5,8 268 8 581 81 5,81 008 0,08 08 3 5. 58 5, 00 0,0 0,

RESUMEN Objetivo: Explorar las asociaciones y las diferencias de género entre el comportamiento de búsqueda de OHI (información sanitaria en línea) y los conocimientos sobre e-Salud (salud electrónica) entre estudiantes universitarios chinos. Métodos: Se utilizaron cuestionarios en línea de la escala de conocimientos en e-Salud y conductas de búsqueda de OHI creadas con el software Wenjunxing. En el análisis de los datos, se utilizó el programa SPSS para llevar a cabo las pruebas de chi-cuadrado, pruebas t y análisis de correlación de Pearson. Resultados: De los 5.383 participantes, el 72,4% estaba formado por muchachas, el 77,5% vivía en zonas rurales, el 51,2% era licenciado en Humanidades y el 76,6% tenía padres con bajo nivel educativo. Las puntuaciones medias del C-eHEALS para chicos y chicas fueron 26,53 ± 5,861 y 26,84 ± 5,816, respectivamente, sin diferencias significativas (P = 0,084). Las tres conductas principales de búsqueda de la OHI para muchachos y muchachas, así como para los grupos de C-eHEALS bajo y alto, fueron “encontrar información sobre ejercicio físico”; “leer o compartir información sobre salud a través de las redes sociales”; “encontrar información sobre nutrición y dietas”, todos ellos con diferencias significativas de género y de aprendizaje sobre e-Salud. Conclusiones: Las diferencias de género y de conocimientos en e-Salud deben centrarse en la intervención a la hora de desarrollar e implementar la formación en cibersalud para padres y adolescentes en escuelas y comunidades. Objetivo eSalud Salud electrónica chinos Métodos Wenjunxing datos chicuadrado, chicuadrado chi cuadrado, cuadrado chi-cuadrado Pearson Resultados 5383 5 383 5.38 participantes 724 72 4 72,4 muchachas 775 77 77,5 rurales 512 51 2 51,2 766 76 6 76,6 educativo CeHEALS C eHEALS 2653 26 53 26,5 5861 861 5,86 2684 84 26,8 5816 816 5,816 respectivamente P 0,084. 0084 0,084 . 0 084 0,084) alto encontrar físico físico” leer sociales sociales” dietas, dietas , dietas” eSalud. Salud. Conclusiones comunidades 538 38 5.3 7 72, 77, 51, 76, 265 26, 586 86 5,8 268 8 581 81 5,81 008 0,08 08 3 5. 58 5, 00 0,0 0,

This study analyses the influence and infection of traditional Chinese culture, starting from the cultural influence of ancient Chinese poetry and literature, and explores the impact and healing effect of traditional Chinese poetry and literature on college students' psychological anxiety. Combining with traditional Chinese culture, it proposes intervention and treatment strategies for college students' psychological anxiety. Through volunteer recruitment, 100 college students were recruited for comparative experiments, and the subjects were divided into an experimental group and a control group. The experimental group participants regularly participate in Chinese ancient poetry and literature appreciation courses during the experimental period, and form an ancient poetry and literature learning group for discussion and learning. Research has found that psychological anxiety is a common psychological problem among contemporary college students, with most of them experiencing varying degrees of psychological anxiety. After the experiment, the number of patients with severe anxiety disorder decreased by 64.21%, while the number of patients with moderate anxiety disorder decreased by 57.36%. Under the artistic influence of traditional Chinese culture, the anxiety state of students with mental anxiety has been significantly improved, and the overall satisfaction score of students with treatment intervention plans is relatively high. CONTRIBUTION: This study uses the profound historical heritage of Chinese ancient poetry and literature to help contemporary college students adjust their psychological state and reach the psychological adjustment under the infection of Chinese tradition culture. During the learning and appreciation of Chinese ancient poetry, literature and culture, students can comprehend the literature advancement in Chinese society, also influenced by the excellent traditional Chinese culture, for enhancing the humanistic quality and mental health level. The results of this study can be utilised by scholars in the field of the psychology of religion and public theology

Abstract: Background and Aims: Cantharellus species are traded in agricultural markets of the Mountain Region, Veracruz, Mexico, as an appreciated mushroom. The objective of this study was to analyze nutrients and nutraceutical properties in four Cantharellus species from Veracruz: antioxidant activity, total phenols, flavonoids, ascorbic acid, lycopene, and β-carotene; as well as the nutritional properties: dry matter, total ashes, crude protein, crude fat, crude fiber, moisture, carbohydrates and energy value of four wild edible mushrooms (Cantharellus violaceovinosus, C. veraecrucis, C. roseocanus y Cantharellus sp.). Methods: Basidiomas of Cantharellus spp. were collected in the Mountain Region, Veracruz, Mexico. The ITS and tef-1α regions were amplified and sequenced. Species were identified molecularly based on the BLAST results. Samples were lyophilized and stored at 4 °C in vacuum bags for the preservation of nutraceutical and nutritional compounds. A methanol-water mixture (80:20 v/v) was used to extract the nutraceutical compounds and to analyze them by spectrophotometric techniques. Key results: In general, outstanding values were found in C. violaceovinosus both in crude protein content (8.04 g/100 g-1) and in antioxidant capacity 2.28 mg TE/g extract. For flavonoids, C. roseocanus showed 2.98 mg QE/g extract and 6.23±0.68 mg/g of carotene. In addition, a high energy value was found in C. violaceovinosus (266.53 Kcal/100g) and C. roseocanus (222.73±15.43 Kcal/100 g). The nutritional and nutraceutical content of C. violaceovinosus, C. veraecrucis and C. roseocanus is presented for the first time. Conclusions: The results show these species from nutritional and nutraceutical perspectives. Cantharellus violaceovinosus showed the highest values of the parameters evaluated. The consumption of these species constitutes an alternative source of protein and nutraceutical components that contribute to food security.

Resumen: Antecedentes y Objetivos: Las especies de Cantharellus se comercializan en los mercados agrícolas de la Región de Las Montañas, Veracruz, México, como un hongo apreciado. El objetivo de este estudio fue analizar los nutrientes y propiedades nutracéuticas en cuatro especies de Cantharellus de Veracruz: capacidad antioxidante, fenoles totales, flavonoides, ácido ascórbico, licopeno y caroteno; así como las propiedades nutricionales: materia seca, cenizas totales, proteína bruta, grasa, fibra bruta, humedad, carbohidratos y valor energético de cuatro hongos silvestres comestibles (Cantharellus violaceovinosus, C. veraecrucis, C. roseocanus and Cantharellus sp.). Métodos: Se colectaron basidiomas de Cantharellus spp. en la Región de la Montaña, Veracruz, México. Se amplificaron las regiones ITS y tef-1α y secuenciaron. Las especies se identificaron molecularmente en base en los resultados de BLAST. Las muestras fueron liofilizadas y almacenadas a 4°C en bolsas al vacío para la conservación de compuestos nutracéuticos y nutricionales. Se utilizó una mezcla metanol-agua (80:20 v/v) para extraer los compuestos nutracéuticos y analizarlos por técnicas espectrofotométricas. Resultados clave: En general, se encontraron valores sobresalientes en C. violaceovinosus, tanto en contenido de proteína cruda (8.04 g/100 g-1) como en capacidad antioxidante (2.28 mg TE/g extracto). Para los flavonoides, C. roseocanus mostró 2.98 mg QE/g de extracto y 6.23±0.68 mg de caroteno/g de extracto. Además, se encontró un alto valor energético en C. violaceovinosus (266.53 Kcal/100g) y C. roseocanus (222.73±15.43 Kcal/100g) (266.53±14.64 Kcal/100g). Se presenta por primera vez el contenido nutricional y nutracéutico de C. violaceovinosus, C. veraecrucis y C. roseocanus. Conclusiones: Los resultados muestran estas especies desde las perspectivas nutricional y nutracéutica. Cantharellus violaceovinosus mostró los valores más altos de los parámetros evaluados. El consumo de estas especies constituye una alternativa como fuentes de proteínas y componentes nutracéuticos que contribuyen a la seguridad alimentaria.

Abstract As a natural agricultural product, honey is favored by consumers, and its variety and adulteration have a huge impact on the quality. Acacia honey, red jujube honey and rape honey were used as experimental objects, and their spectral reflectance curves were obtained through a near-infrared spectral image acquisition system. Spectral features were extracted from the preprocessed spectral reflectance curves, and a honey variety classification model based on near-infrared spectral features was established by machine learning. After statistical analysis, Principal Component Analysis Support Vector Machine after processing data through Successive Projections Algorithm (SPA-SVM) is the optimal classification model for three varieties of acacia honey, red jujube honey and rape honey, and the correct rate of honey variety classification reaches 95.83%. The spectral reflectance curve was used to establish a honey adulteration identification model based on the partial least squares-discriiminate analysis (PLS-DA), and the classification accuracy was 97.92% in the test set.

RESUMEN Introducción: Los jugadores de baloncesto dependen de una excelente potencia explosiva en los miembros inferiores para las actividades de entrenamiento y competición, como arrancar, frenar, acelerar, desacelerar, correr y saltar de forma instantánea y rápida. El nivel de los atletas chinos en este aspecto es inferior al de las potencias mundiales y la formulación de un entrenamiento centrado en la fuerza explosiva puede mejorar la formación de estos atletas. Objetivo: Estudiar los efectos de los estiramientos en la fuerza de las extremidades inferiores en atletas de baloncesto. Métodos: 20 jóvenes jugadores de baloncesto seleccionados como voluntarios para la investigación fueron divididos aleatoriamente en grupo experimental y grupo de control, con 10 personas en cada grupo para el análisis retrospectivo. Se evaluó el efecto del entrenamiento compuesto de estiramiento rápido sobre la potencia explosiva de las extremidades inferiores de los jugadores de baloncesto mediante el método comparativo de datos bibliográficos, entrevistas a expertos, métodos experimentales y estadística matemática. Resultados: Después de 8 semanas de entrenamiento, las puntuaciones de cada índice de prueba en el grupo de control mejoraron significativamente, incluyendo las puntuaciones de salto de pie y de larga distancia (P < 0,01). Las puntuaciones de despegue unipodal y de largo alcance tras la carrera mejoraron significativamente (P < 0,05). Conclusión: Tanto el entrenamiento de resistencia tradicional como el entrenamiento compuesto de estiramiento de las extremidades inferiores pueden mejorar la potencia explosiva en jóvenes jugadores de baloncesto, pero el entrenamiento compuesto mostró mayor protagonismo en sus resultados. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento. Introducción competición arrancar frenar acelerar desacelerar rápida Objetivo Métodos 2 1 retrospectivo bibliográficos expertos matemática Resultados P 0,01. 001 0,01 . 0 01 0,01) 0,05. 005 0,05 05 0,05) Conclusión II tratamiento 00 0,0 0,

RESUMO Introdução: Os jogadores de basquetebol dependem de um excelente poder explosivo nos membros inferiores para as atividades de treinamento e competição como iniciar, frear, acelerar, desacelerar, correr e pular instantânea e rapidamente. O nível dos atletas chineses neste aspecto é inferior ao de potências mundiais e a formulação de um treinamento focado em força explosiva pode aprimorar o treinamento desses atletas. Objetivo: Estudar os efeitos do alongamento sobre a força dos membros inferiores nos atletas de basquetebol. Métodos: 20 jovens jogadores de basquete masculino selecionados como voluntários para a pesquisa foram divididos aleatoriamente em grupo experimental e grupo de controle, com 10 pessoas em cada grupo para análise retrospectiva. O efeito do treinamento composto de alongamento rápido sobre o poder explosivo dos membros inferiores dos jogadores de basquetebol foi avaliado usando o método comparativo de dados da literatura, entrevistas com especialistas, métodos experimentais e estatísticas matemáticas. Resultados: Após 8 semanas de treinamento, as pontuações de cada índice de teste no grupo de controle foram significantemente aprimoradas, incluindo o salto em pé e as pontuações de longa distância (P < 0,01). A decolagem unipodal e as pontuações de longo alcance pós corrida foram significativamente melhoradas (P<0.05). Conclusão: Tanto o treinamento tradicional de resistência quanto o treinamento composto de alongamento dos membros inferiores podem melhorar o poder explosivo nos jovens jogadores de basquete, porém o treinamento composto apresentou maior destaque em seus resultados. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento. Introdução iniciar frear acelerar desacelerar rapidamente Objetivo Métodos 2 1 retrospectiva literatura especialistas matemáticas Resultados aprimoradas P 0,01. 001 0,01 . 0 01 0,01) P<0.05. P005 P<0.05 05 (P<0.05) Conclusão II tratamento 00 0,0 P00 P<0.0 (P<0.05 0, P0 P<0. (P<0.0 P<0 (P<0. P< (P<0 (P<

ABSTRACT Introduction: Basketball players depend on excellent explosive power in the lower limbs for training and competition activities such as starting, braking, accelerating, decelerating, running, and jumping instantly and quickly. The level of Chinese athletes in this aspect is lower than world powers, and formulating training focused on explosive strength can enhance the training of these athletes. Objective: Study the effects of stretching on lower limb strength in basketball athletes. Methods: 20 young male basketball players selected as volunteers for the research were randomly divided into an experimental and control group, with 10 people in each group for retrospective analysis. The effect of rapid stretching compound training on the explosive power of lower limbs in basketball players was evaluated using the comparative method of literature data, expert interviews, experimental methods, and mathematical statistics. Results: After 8 weeks of training, the scores of each test index in the control group were significantly improved, including the standing jump and long-distance scores (P < 0.01). Unipodal takeoff and post-run long-range scores were significantly improved (P < 0.05). Conclusion: Both traditional resistance and compound lower limb stretching training can improve explosive power in young basketball players, but compound training showed more prominent results. Level of evidence II; Therapeutic studies - investigation of treatment outcomes. Introduction starting braking accelerating decelerating running quickly powers Objective Methods 2 1 analysis data interviews methods statistics Results longdistance long distance P 0.01. 001 0.01 . 0 01 0.01) postrun post run longrange range 0.05. 005 0.05 05 0.05) Conclusion results II outcomes 00 0.0 0.

Abstract The classification algorithms of different peanut varieties were studied based on hyperspectral imaging technology. Firstly, the spectral images of five peanut species were collected by hyperspectral instrument produced by Zhuolihanguang Co., LTD. Then SpacVIEW was used to correct the spectral images in black and white, and ENVI5.1 was used to extract the interest in the spectral image of each peanut and calculate the mean spectral reflection value of the region. The spectral characteristic curves of the five peanut samples all showed certain differences, which lays a foundation for the feasibility of modeling in the next step. In order to eliminate the influence of non-quality factor information in hyperspectral spectral data, a variety of data preprocessing methods were used to eliminate noise in the original spectral data, and XGBoost, LightGBM, CatBoost and GBDT algorithms were used to extract feature bands. XGBoost and LightGBM were then used for classification modeling of extracted feature bands. In the classification model, both XGBoost and LightGBM can reach 99.33%, while other performance evaluation indexes cannot distinguish these two models well. Therefore, Optuna algorithm was selected to optimize the two algorithms respectively. After optimization, both LightGBM and XGBoost have improved to varying degrees, but LightGBM is relatively obvious, especially in fit_time, which is 11 times faster than XGBoost and 16 times faster than before optimization. Therefore, the best classification algorithm selected in this study is MF-LightGBM-LightGBM-Optuna-LightGBM. The research of peanut classification method provides a strong theoretical basis and technical support for the revitalization of rural industry, the integration of peanut agriculture and industry and the acceleration of the modernization of agricultural industry system, production system and management system.

Abstract In order to study the mechanism of arabinoxylan (AX) delaying the aging of steamed bread, the effects of AX on gelatinization, texture and starch crystallinity of steamed bread were analyzed. The results were as follows: as the storage time of steamed bread extended, the hardness and chewiness of steamed bread decreased successively in the control group, water extract AX group and enzyme extract AX group. The gelatinization of flour was decreased by both water and WEAX and EEAX, and a significant effect were observed in EEAX group. In the storage process of steamed bread, AX could inhibit the crystallinity rate of amylopectin in the freeze-dried powder of steamed bread, and the overall change range of ΔH was lower than that of control. The x-diffraction results showed that adding AX could reduce the crystallinity of steamed bread. Hence, it delays the retrogradation process and thus delay the aging of steamed bread. These results suggest that Arabinoxylan can be used as a novel additive in CSB industry, not only for the nutritional value, but also the anti-staling effect.

Abstract Turmeric is a natural active substance extracted from the Zingiberaceae plant, containing a variety of derivatives, the main component being curcumin. Curcumin has a wide range of sources, low cost, and has strong antioxidant, anti-inflammatory, anti-cancer, antibacterial and other physiological functions, but it has problems such as poor water solubility, poor stability, and low bioavailability. There are certain interactions (hydrophobic interactions, electrostatic interactions, hydrogen bonds, etc.) between curcumin and bio-based proteins or polysaccharides, which can be combined to form different encapsulation systems, which can effectively improve the poor water solubility, poor stability and intestinal problems such as low bioavailability. This article focuses on the types of natural bio-based encapsulation systems (emulsion, liposome, micelle, nanoparticles, gels, and microcapsules), mechanisms and their applications in the food field of curcumin.

Abstract Prediction of seed vigor based on hyperspectral peant. The traditional method is time-consuming and laborious to detect seed vigor. At the same time, the accuracy of the detection result is not high, and it will cause damage to the seed itself. Therefore, in order to achieve rapid and non-destructive detection of peanut seed vigor, the test was performed with original health, artificial aging for 24h and Peanut seeds with different vigor gradients at 72 hours were used as the research samples. Hyperspectral images with a wavelength range of 387~1035 nm were collected, and the image of the central part of the peanut seeds with a pixel size of 60 × 60 after correction was intercepted and the average reflectance value was calculated. After a combination of processing analysis, characteristic band processing, and model selection, a hyperspectral prediction system with the highest correlation to the viability of extracted peanut seeds was finally established. Experiments shown that the combination of hyperspectral imaging technology and the MF-LightGBM-RF model had the best performance, with a prediction accuracy of 92.59% and a fitting time of 1.77s, which simplifies the model and improves efficiency.

Abstract In this study, tensile strength, slicing, and infrared characteristics were evaluated to determine the changes in ramen dough and constituent proteins during production by hand. The results showed that two variables played important roles during the ramen-making process: the frequency of ramen agent additions and the method of ramen making. After two additions of the ramen agent to the dough, the tensile strength increased to the maximum value. Moreover, the ordered secondary structure of the protein improved, and the starch granules and protein molecules were arranged in an orderly fashion.

Abstract This study investigated the hyperspectral reflectance response of time series generated during oven drying to changes in the moisture content of potato tubers. Seventeen preprocessing methods were used to eliminate the influence of spectral noise on the spectral characteristic curve. Algorithms such as CatBoost, LightGBM, and XGBoost are used to obtain the first 40 effective characteristic spectra of hyperspectral images, which reduces the redundancy of data and improves the prediction accuracy. The water content prediction model of potato tubers was established by using the selected characteristic bands. The results showed that the combined model based on Lasso and XGBoost algorithm had the strongest prediction ability. The best model is MF-Lasso-XGBoost, which has R2 value of 0.8908, Rmse of 0.0610, Mdae of 0.0389, and R2cv of 0.8448. This research can provide reference for the detection of potato moisture content and theoretical basis for the development of crop moisture detector.

Abstract In order to reduce post-harvest losses, the classification of fresh apples is crucial. Taking the hierarchical transmission control system as the object, the research was carried out on the verification of the bus network can flexibly expand the motor equipment, the stable and reliable operation of the motor, and the accuracy of Apple's classification. Combine Labview virtual instrument technology to realize the design of Apple's hierarchical transmission control system based on Controller Area Network technology. Fuzzy PID and traditional PID algorithms are used to simulate and realize the operation of brushless DC motor, and compare the advantages of brushless DC motor control based on fuzzy PID to ensure the safe and stable operation of the system. Using the machine learning algorithms model for color detection, the Support Vector Machine algorithm model finally achieved the classification of the three types of apple samples with a recognition rate of 96.7%.