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Influence Of A New Nanoensemble Of Graphene Oxide And Indole-3-Acetic Acid On The Morphophysiological, Biochemical, And Ultrastructural Characteristics Of Upland Cotton (Gossypium Hirsutum L.), Nurlan Amrahov, Ulviyya Hasanova, Aliyeva Gunel, Aghazada Goncha, Fuad Rzayev, Eldar Gasimov, Aliyeva Solmaz, Lala Gahramanli, Elvin Ibrahimli, Ruhangiz Mammadova, Zarema Gakhramanova, Cem Bayram, Goncha Eyvazova, Si̇bel Hasanova, Ziyaddin Mammadov Jul 2026

Influence Of A New Nanoensemble Of Graphene Oxide And Indole-3-Acetic Acid On The Morphophysiological, Biochemical, And Ultrastructural Characteristics Of Upland Cotton (Gossypium Hirsutum L.), Nurlan Amrahov, Ulviyya Hasanova, Aliyeva Gunel, Aghazada Goncha, Fuad Rzayev, Eldar Gasimov, Aliyeva Solmaz, Lala Gahramanli, Elvin Ibrahimli, Ruhangiz Mammadova, Zarema Gakhramanova, Cem Bayram, Goncha Eyvazova, Si̇bel Hasanova, Ziyaddin Mammadov

Turkish Journal of Botany

​The exogenous application of phytohormones plays a crucial role in the activation of adaptive mechanisms in plants under both normal and stress conditions. Therefore, the present study investigates the synthesis, characterization, and application of nanoensembles based on indole-3-acetic acid (IAA) and graphene oxide (GO) nanolayers. The surface of GO synthesized by the modified Hummer method was noncovalently functionalized with IAA molecules. The structure and morphological properties of the prepared materials were analyzed by Fourier transform infrared spectroscopy, X-ray diffraction, UV-Vis spectroscopy, and transmission electron microscopy. The IAA and IAA+GO nanoensemble enhanced the morphological parameters, lateral root formation, catalase and peroxidase …

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Effects Of Calcium And Magnesium Ions On Wheat (Triticum Aestivum) Chromosome Structure Visualized Using Light And Scanning Elec​Tron Microscopes, Andi Salamah, Fitri Amalia Nurchasanah, Vycka Fikriyani Fairuz, Astari Dwiranti Jul 2026

Effects Of Calcium And Magnesium Ions On Wheat (Triticum Aestivum) Chromosome Structure Visualized Using Light And Scanning Elec​Tron Microscopes, Andi Salamah, Fitri Amalia Nurchasanah, Vycka Fikriyani Fairuz, Astari Dwiranti

Turkish Journal of Botany

Divalent cations, particularly calcium (Ca2+) and magnesium (Mg2+), are essential for maintaining chromosomal architecture, yet their roles in plants remain poorly characterized. This study investigated the effects of Ca2+ and Mg2+ on the chromosomal structure of wheat (Triticum aestivum, 2n = 6x = 42), a widely used model in plant cytogenetics. Root-tip chromosomes were isolated enzymatically and treated with BAPTA (a Ca2+-specific chelator), EDTA (a broad cation chelator), and buffer solutions containing either 5 mM Mg2+ (XBE5) or no Mg2+ (XBE). Chromosomes were stained with aceto-orcein for light microscopy and processed for scanning electron microscopy (SEM). Microscopic observations revealed that …

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Longitudinal Patterns In Stygobiont Distribution In The Hyporheic Zone Of The Karst Spring-Fed San Marcos River, Texas, Usa, Kenneth Sparks, Benjamin F. Schwartz, Safra Altman, Kathryn E. Perez, Zoey B. Chanin, Caroline Mierzejewski, Benjamin T. Hutchins Jul 2026

Longitudinal Patterns In Stygobiont Distribution In The Hyporheic Zone Of The Karst Spring-Fed San Marcos River, Texas, Usa, Kenneth Sparks, Benjamin F. Schwartz, Safra Altman, Kathryn E. Perez, Zoey B. Chanin, Caroline Mierzejewski, Benjamin T. Hutchins

School of Integrative Biological & Chemical Sciences Faculty Publications

Groundwater-obligate taxa (stygobionts) exhibit variable degrees of habitat specialization, ranging from those restricted to single micro-habitats to generalists occurring in a broad range of habitat types. The karstic Edwards Aquifer is the most biodiverse and well-studied groundwater habitat in the continental United States, but some Edwards Aquifer-associated species also occupy the hyporheic zone of rivers downstream from karst. The goals of this research were to 1) assess the potential of the off-karst hyporheic zone as habitat for ‘karst’ species and 2) to determine how stygobiont richness, diversity, and abundance related to distance from karst in the hyporheic zone of a …

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A Global Imprint Of Gadolinium-Based Contrast Agents Used In Magnetic Resonance Imaging In Drinking Water, Vanessa Hatje, Franciele Castro Novais, Anna Maria Orani, Maria Elisabete Machado, Pere Masque, Marc Metian Jul 2026

A Global Imprint Of Gadolinium-Based Contrast Agents Used In Magnetic Resonance Imaging In Drinking Water, Vanessa Hatje, Franciele Castro Novais, Anna Maria Orani, Maria Elisabete Machado, Pere Masque, Marc Metian

Research outputs 2022 to 2026

Since the 1980s, rare earth elements (REE), particularly gadolinium (Gd) used in gadolinium-based contrast agents (GdCA), have revolutionized Magnetic Resonance Imaging (MRI) diagnostics. However, the near-complete persistence of these compounds through wastewater treatment processes has led to widespread global environmental contamination. Here, we present a global assessment of REE concentrations and GdCA signatures in tap water from 148 cities across 89 countries and Antarctica, where anthropogenic Gd ranges from 0.1 to 61.2 ng L–1 and accounts for up to 99% of total dissolved Gd. Contamination hotspots are concentrated in Europe and North America. While Gd levels scale with MRI usage …

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Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, Li Ke, Ouyang Runkun, Dai Yijie, Li Jie, Hou Aixiang, Yang Yu, Li Zongjun Jul 2026

Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, Li Ke, Ouyang Runkun, Dai Yijie, Li Jie, Hou Aixiang, Yang Yu, Li Zongjun

Food and Machinery

[Objective] To establish a model for the rapid quantification of sorghum starch based on near-infrared spectroscopy and machine learning algorithms. [Methods] Brewing sorghum was used as the raw material. Near-infrared diffuse reflectance spectra were collected using a near-infrared spectrometer. The Isolation Forest algorithm was employed to remove outlier samples and optimize the dataset. Subsequently, multiple preprocessing methods and regression models were compared using various modeling software to analyze and establish a quantitative model for sorghum starch. [Results] After preprocessing with the Isolation Forest algorithm, the partial least squares regression (PLSR) model exhibited the best performance, with a coefficient of determination …

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Extraction Optimization For Polyphenols From Clausena Anisum-Olens Kernel , As Well As Their Antioxidant And Antibacterial Activities, Liao Jianhong, Su Xiufang, Zheng Guangjin, Li Ganghui Jul 2026

Extraction Optimization For Polyphenols From Clausena Anisum-Olens Kernel , As Well As Their Antioxidant And Antibacterial Activities, Liao Jianhong, Su Xiufang, Zheng Guangjin, Li Ganghui

Food and Machinery

[Objective] To optimize the extraction process of polyphenols from Clausena anisum-olens kernel, and to analyze their in vitro antioxidant and antibacterial activities. [Methods] With ultrasonic temperature, power, time, as well as solid–liquid ratio and ethanol volume fraction as experimental factors, the response surface method was employed to optimize the ultrasonic extraction process of polyphenols from C. anisum-olens kernel. Furthermore, the in vitro antioxidant activity of the polyphenols was investigated via free radical scavenging assays, and the antibacterial activity was determined using the well diffusion method. [Results] The optimal extraction process is an ultrasonic power of 94 W, an ultrasonic time …

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A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao Jul 2026

A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao

Food and Machinery

[Objective] To address the high missed detection rate of defective fruits and poor grading accuracy in current post-harvest fragrant pear sorting. [Methods] On the basis of an existing visual inspection system for fragrant pears, a machine vision detection system integrating an improved YOLOv8s algorithm and multi-dimensional morphological features is designed. An ECA attention module is introduced to enhance the model sensitivity to subtle defects, enabling fast and precise localization and segmentation of pears. Conventional morphological feature extraction is employed to conduct multi-dimensional shape analysis for identifying and rejecting defective fruits. Pressure-sensitive sensors are then used to grade the remaining qualified …

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Study On Structural Characteristics And Immunomodulatory Activity Of Flammulina Velutipes Crude Polysaccharide, Wang Xinnuo, Peng Chujun, Jin Yumeng, Zhang Molan, You Lijun Jul 2026

Study On Structural Characteristics And Immunomodulatory Activity Of Flammulina Velutipes Crude Polysaccharide, Wang Xinnuo, Peng Chujun, Jin Yumeng, Zhang Molan, You Lijun

Food and Machinery

[Objective] To prepare Flammulina velutipes crude polysaccharide (FVP) and evaluate its structural characteristics and immunomodulatory activity. [Methods] FVP was prepared from Flammulina velutipes using hot-water extraction and ethanol precipitation, and its structural characteristics were characterized by combining Fourier transform infrared spectroscopy (FTIR) and high-performance size-exclusion chromatography–multi-angle laser light scattering–refractive index detection (HPSEC–MALLS–RI). The immunomodulatory activity of FVP was evaluated using RAW 264.7 macrophages and a cyclophosphamide-induced immunosuppressed mouse model. [Results] The total sugar content of FVP is (51.39 ± 1.36) g/100 g. Structural characterization results show that FVP has characteristic features of a β-type pyranose ring and exhibits a multi-component …

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Research Progress In Production Process And Flavor Modulation Mechanisms Of Cooking Wine, An Nan, Liu Gongliang, Bai Weidong, Tong Xing, Wang Hong Jul 2026

Research Progress In Production Process And Flavor Modulation Mechanisms Of Cooking Wine, An Nan, Liu Gongliang, Bai Weidong, Tong Xing, Wang Hong

Food and Machinery

As a core condiment in traditional Chinese cuisine, the flavor modulation mechanisms of cooking wine are closely related to its production processes. This review systematically organizes the three major production systems of cooking wine, i.e., brewed, blended, and seasoned, comparing their differences in base-wine origin, flavor-formation pathways, and product stability. By integrating the latest developments in flavoromics, molecular interactions, and intelligent fermentation, it provides a systematic analysis of the relationship between production process differences and flavor formation mechanisms. The paper clarifies the multi-stage “dissolution–modification–suppression” mechanism for off-flavor removal and proposes a metabolic flux-directed process optimization pathway. Additionally, it explores the …

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Consumer Judgment, Choice, And Meaning-Making In Food Packaging Design From The Perspective Of Consumption Alienation, Guo Jingzhi, Xu Ming Jul 2026

Consumer Judgment, Choice, And Meaning-Making In Food Packaging Design From The Perspective Of Consumption Alienation, Guo Jingzhi, Xu Ming

Food and Machinery

In the context of contemporary food consumption, food packaging has gradually shifted from a tool for product protection and information transmission to an important cognitive interface that influences consumer perception, judgment, and choice. Existing studies in this field mainly focus on functional optimization, behavioral guidance, and cultural expression, while insufficient attention has been paid to how packaging design affects consumer cognitive processes. This paper introduces the theoretical perspective of consumption alienation and employs literature analysis and comparative case studies to construct a three-layer analytical framework of “judgment–choice–meaning.” Furthermore, it proposes a regression-based analytical pathway centered on comprehensibility, choice support, and …

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Using “You” As A Subject In Biology Assessment Questions: Examining Student Preferences For Second-Person Framing, Noelle Clark, Kate Hill, Jeremy L. Hsu Jul 2026

Using “You” As A Subject In Biology Assessment Questions: Examining Student Preferences For Second-Person Framing, Noelle Clark, Kate Hill, Jeremy L. Hsu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In college biology courses, exams and quizzes are often used to assess students’ knowledge and performance. Since assessments are a crucial part of biology classes, there has been a wide range of work examining how assessment questions are written, revealing that small changes in how such questions are worded may have large impacts on students’ reading comprehension and performance. One aspect that instructors consider when writing a question is subject framing, i.e., which individual, if any, is being placed as the focal point of the question. In this study, we focus on the following subject framings, an authentic scientist, a …

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Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng Jul 2026

Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng

Food and Machinery

Plastics are widely used in food packaging, storage, processing, and other food-related applications, playing a vital role in extending food shelf life, reducing material loss, and promoting food circulation. However, these plastic products that come into direct or indirect contact with foods can release micro- and nanoplastics through various physical and chemical processes. These micro- and nanoplastics can accumulate in the human body through bioaccumulation and other pathways and have become one of the emerging contaminants threatening food safety and human health. This review provides a comprehensive summary of the research progress on the generation pathways, release mechanisms, potential health …

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Research Progress On Tubular Chain Conveyors And Their Applications In The Grain, Oil And Food Industry, Wu Weiwei, Xia Chaoyong, Sui Sai Jul 2026

Research Progress On Tubular Chain Conveyors And Their Applications In The Grain, Oil And Food Industry, Wu Weiwei, Xia Chaoyong, Sui Sai

Food and Machinery

Tubular chain conveyors have become core equipment in modern bulk material handling by virtue of their significant advantages, including highly efficient conveying, fully enclosed operation, and three-dimensional flexible spatial layout. This paper systematically reviews the current status and progress of research on tubular chain conveyors both domestically and internationally, and provides an in-depth analysis of their technological evolution, core theoretical framework, and industrial adaptability. Emphasis is placed on reviewing their engineering applications in the grain, oil, and food industry. In view of the remaining deficiencies in current research concerning adaptability to extreme operating conditions, multi-physics coupling mechanism modeling, large-scale implementation …

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Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, Fan Gai, Jing Min, Ji Feng, Ma Maosen, Yao Xiaomin Jul 2026

Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, Fan Gai, Jing Min, Ji Feng, Ma Maosen, Yao Xiaomin

Food and Machinery

[Objective] This study aims to achieve rapid and non-destructive detection of the water loss rate in green grapes, control losses, and ensure quality. Based on an LED-induced fluorescence spectroscopy system, a prediction method combining collected spectral data with a multi-model soft voting fusion approach was proposed for green grape water loss rate estimation. [Methods] Spectral data from 100 green grape samples were collected. Preprocessing was performed using multivariate scatter correction (MSC), standard normal variate transformation (SNV), normalization, and Savitzky–Golay (SG) filtering. Feature wavelength selection was carried out using the successive projections algorithm. Based on this, prediction models for the green …

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Effect Of Extraction Methods On Emulsifying Properties Of Corn Fiber Gum, Wu Chenglong, Ren Ying, Li Xingguo, Tang Leiming, Sun Xiaohong Jul 2026

Effect Of Extraction Methods On Emulsifying Properties Of Corn Fiber Gum, Wu Chenglong, Ren Ying, Li Xingguo, Tang Leiming, Sun Xiaohong

Food and Machinery

[Objective] To investigate the influence of three extraction methods (alkaline, enzymatic, and acidic) on the emulsification characteristics of corn fiber gum (CFG). [Methods] Corn bran was used as the raw material, and CFG was extracted using sodium hydroxide, xylanase, and formic–acetic acid–water solutions. The changes in particle size, zeta potential, rheological properties, creaming index, appearance, and microstructure of CFG emulsions were measured. [Results] All three CFG emulsions exhibited shear-thinning behavior, with viscosities decreasing as the shear rate increased. The enzymatically extracted CFG emulsion had the highest viscosity, best gel properties, smallest particle size [(751.6 ± 22.5) nm], highest absolute zeta …

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An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua Jul 2026

An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua

Food and Machinery

Targeting the three major obstacles—information fragmentation, delayed risk response, and ambiguous accountability—in food cold chain safety governance, this study constructs an integrated cold chain safety traceability and monitoring system centered on artificial intelligence technology and incorporating the Internet of Things and blockchain. On the basis of a comprehensive risk analysis of the entire food cold chain process, and drawing on theoretical frameworks including supply chain resilience theory, information asymmetry theory, HACCP, and ISO 22000 food safety standards, this study designs a system architecture organized around five functional modules: multi-source data collection and traceability, dynamic food quality assessment, risk prediction and …

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Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini Jul 2026

Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini

Food and Machinery

[Objective] To address the problems of low trajectory tracking accuracy, delayed dynamic response, poor adaptability to external disturbances, and difficulty in meeting the requirements of high-speed and high-precision food sorting in the existing end-effector control of parallel food sorting robots. [Methods] A food sorting system based on a DELTA parallel robot was developed, and an end-effector control strategy integrating an improved whale optimization algorithm, adaptive fuzzy control, and nonsingular fast terminal sliding mode control was designed. Adaptive fuzzy control was used to adjust the output gain in real time to enhance controller tracking accuracy. The improved whale optimization algorithm was …

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Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi Jul 2026

Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi

Food and Machinery

[Objective] The aim is to explore the effect of double-bin plansifter motion parameters on the material sieving efficiency of different systems after wheat milling. [Methods] The milled materials produced by the break system, tailing roll, and scratch system, obtained from a typical milling production line, were selected as raw materials. The double-bin plansifter was used to sieve different materials to investigate the variations in residence time inside the sieve body and in sieving performance under different motion parameters of milled materials in each system. The motion parameters with the optimal sieving performance for the milled materials from each system were …

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Comparative Analysis Of Beef Quality From Bashan Region, Wan Xiaohui, Yao Pingbo, Zhang Duoduo, Ma Xiaowen, Tang Youxue, Liu Yongfeng Jul 2026

Comparative Analysis Of Beef Quality From Bashan Region, Wan Xiaohui, Yao Pingbo, Zhang Duoduo, Ma Xiaowen, Tang Youxue, Liu Yongfeng

Food and Machinery

[Objective] To clarify the unique quality of beef from the Bashan region. [Methods] Xizhen cattle beef from the eastern, southern, south-central, central, and northern regions of Zhenba County, Shaanxi Province, is taken as the material to investigate the differences in nutritional quality (moisture, protein, fat, and minerals) and eating quality (color, texture, and flavor). [Results] Zhenba beef has unique qualities, such as high protein and total mineral content, compared with the nutrient composition of beef in the food nutrient composition database published by the National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention. For nutritional quality, …

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Comparison And Optimization Of Glycoprotein Extraction Processes For Six Panax Medicinal Herbs Using Ultra-High Pressure Extraction Technology, Chang Fangyu, Zang Hao, Cheng Liye, Han Lusheng, Du Lianyun, Wang Enpeng Jul 2026

Comparison And Optimization Of Glycoprotein Extraction Processes For Six Panax Medicinal Herbs Using Ultra-High Pressure Extraction Technology, Chang Fangyu, Zang Hao, Cheng Liye, Han Lusheng, Du Lianyun, Wang Enpeng

Food and Machinery

[Objective] To comprehensively compare and screen glycoprotein preparation processes for six representative medicinal materials from the genus Panax. [Methods] Glycoprotein yield, DPPH radical scavenging capacity, hydroxyl radical scavenging capacity, and Fe2+ chelation inhibition rate were used as evaluation indicators. Glycoprotein extraction rates and antioxidant activities of six medicinal materials, including P. ginseng, P. notoginseng, P. quinquefolius, P. japonicus (T. Nees) C. A. Mey., P. stipuleanatus H. T. Tsai & K. M. Feng, and P. bipinnatifidus Seem, were compared using traditional thermal extraction and ultra-high pressure processing (UHPP). The Box–Behnken response surface method was employed to optimize UHPP parameters for P. …

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Optimization Of Probiotic Fermentation Process And Effects Of Drying Methods On The Quality Of Sea Buckthorn Leaves, Dong Xiaoyue, Yun Xueyan, Zhang Lu, Dong Tongliga, Zhao Chenxi, Te Jinwei, Wang Xiukuan, Hao Qian, Miao Meishu, Su Ke Jul 2026

Optimization Of Probiotic Fermentation Process And Effects Of Drying Methods On The Quality Of Sea Buckthorn Leaves, Dong Xiaoyue, Yun Xueyan, Zhang Lu, Dong Tongliga, Zhao Chenxi, Te Jinwei, Wang Xiukuan, Hao Qian, Miao Meishu, Su Ke

Food and Machinery

[Objective] To investigate the effects of probiotic fermentation conditions and drying methods on the quality of fermented sea buckthorn leaf products. [Methods] Lactiplantibacillus plantarum is used for fermentation. The fermentation process of sea buckthorn leaves is optimized through single-factor experiments combined with response surface methodology. Fermented sea buckthorn leaf extract is prepared under the optimal fermentation conditions and subsequently processed into freeze-dried powder by direct freeze-drying and spray freeze-drying, with or without low-voltage electrostatic field assistance. The effects of different treatments on viable cell counts, flavonoid and polyphenol retention rates, water activity, and in vitro digestion characteristics are evaluated. [Results] …

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Extraction Process Optimization Of Camellia Sinensis Flavonoids And Their Antioxidant Activity, Tu Jianqiu, Xu Danhe, Chen Long, Wang Yaxin, Xu Jiahui, Jing Lixiang, Li Jianfang Jul 2026

Extraction Process Optimization Of Camellia Sinensis Flavonoids And Their Antioxidant Activity, Tu Jianqiu, Xu Danhe, Chen Long, Wang Yaxin, Xu Jiahui, Jing Lixiang, Li Jianfang

Food and Machinery

[Objective] To optimize the extraction process of flavonoids from Xinyang Camellia sinensis and to compare the in vitro antioxidant activities of total flavonoids before and after purification. [Methods] Using Xinyang C. sinensis as raw material, a one-factor test is conducted to investigate the effects of ethanol volume fraction, ultrasonic time, ultrasonic power, and material–liquid ratio on the yield of flavonoids. Subsequently, a three-factor, three-level optimization model is established based on the Box–Behnken experimental design. Additionally, a macroporous adsorption resin is utilized for the purification of flavonoid crude extracts. Finally, the in vitro antioxidant activity of the total flavonoids is evaluated …

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Advances In The Application Of Electroencephalography In Food Sensory Science, Li Wenbin, Hou Xiaoyi, Deng Na, Leng Tuo, Fu Haohua, Wang Jianhui Jul 2026

Advances In The Application Of Electroencephalography In Food Sensory Science, Li Wenbin, Hou Xiaoyi, Deng Na, Leng Tuo, Fu Haohua, Wang Jianhui

Food and Machinery

Traditional sensory evaluation of food is affected by subjectivity and other factors, resulting in significant limitations. Electroencephalography (EEG), owing to its advantages of high temporal resolution, non-invasiveness, and real-time dynamic monitoring, offers an objective neurophysiological perspective and analytical approach to address this issue, effectively advancing food science research from subjective descriptions to objective neural decoding. This paper systematically reviews the applications of EEG in food flavor recognition and prediction, objective evaluation of food quality, and analysis of food nutrition and consumer behavior. In light of the current state of technological development, it is proposed that multimodal technology integration and machine …

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Progress On The Nutrient Components, Functional Activities, And Utilization Of Dictyophora Rubrovalvata, Zhang Lunqing, Wang Xianxing, Li Qiaoqiao, Xu Cunbin, Wang Yu Jul 2026

Progress On The Nutrient Components, Functional Activities, And Utilization Of Dictyophora Rubrovalvata, Zhang Lunqing, Wang Xianxing, Li Qiaoqiao, Xu Cunbin, Wang Yu

Food and Machinery

Dictyophora rubrovalvata, a valuable edible fungus in China, is rich in active components such as polysaccharides, proteins, amino acids, and vitamins, exhibiting significant efficacy in antioxidant, anti-fatigue, antitumor, immunomodulatory, hepatoprotective, and anti-inflammatory activities. This paper systematically reviews recent research progress on the nutritional components, functional activities, and utilization status of D. rubrovalvata, both in China and elsewhere, with an outlook on its future development directions and application prospects.

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Intelligent Detection Method For Food Packaging Defects Based On Improved U-Net And Machine Vision, Qi Guohong, Zhang Jing, Li Lili Jul 2026

Intelligent Detection Method For Food Packaging Defects Based On Improved U-Net And Machine Vision, Qi Guohong, Zhang Jing, Li Lili

Food and Machinery

[Objective] To address the issues of weak generalization, insufficient accuracy, and poor anti-interference ability in existing intelligent detection methods for food packaging defects. [Methods] On the basis of the intelligent sorting system for food packaging defects, a method for intelligent detection of food packaging defects is proposed, which combines machine vision and an improved U-Net model. By introducing a multi-scale residual convolution module into the convolution module, the method reduces the computational complexity of the model and improves the training effect. By integrating channel attention, spatial attention, and multi-scale attention, a lightweight hybrid attention module is constructed to achieve the …

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Sustainable Design Strategies For Regional Food Packaging Based On The Dual Circulation Of Matter And Culture, Jin Yuhan, Wang Chao, Hou Zhigang Jul 2026

Sustainable Design Strategies For Regional Food Packaging Based On The Dual Circulation Of Matter And Culture, Jin Yuhan, Wang Chao, Hou Zhigang

Food and Machinery

In response to the current focus on material circulation in regional food packaging research and the lack of mechanisms for the dissemination of regional culture, this study explores a sustainable design pathway for the coordinated development of cultural and material circulation in the context of new retail. Taking a high-end apple gift box as a practice-based validation object, a dual-circulation packaging system integrating material and cultural circulation was constructed and validated from four aspects, i.e., material selection, structural innovation, visual narrative, and interactive experience, based on the triple bottom line (TBL) and cradle-to-cradle (C2C) theories. The use of locally sourced …

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Design, Fabrication, And Performance Evaluation Of A Recycling Machine For Converting Biodegradable Waste Into Compost, Mohamed T. Eraky, M.M Radwan, Abdelkhalik Eladl Jul 2026

Design, Fabrication, And Performance Evaluation Of A Recycling Machine For Converting Biodegradable Waste Into Compost, Mohamed T. Eraky, M.M Radwan, Abdelkhalik Eladl

Mansoura Engineering Journal

This study evaluates the technical feasibility of composting shredded printed paper blended with organic waste using a manually operated aerobic composting system. The investigation focused on process performance under controlled initial conditions, particularly an optimized carbon-to-nitrogen (C:N) ratio of 30:1. Three composting piles were constructed with systematic variations in moisture content, aeration frequency, and additive composition (poultry manure, yeast, crushed eggshells, and cardboard) to assess their influence on thermal behavior and decomposition efficiency. Process performance was monitored through continuous temperature profiling and periodic observation of physical parameters, including color development and material degradation rate. Among the experimental setups, Pile 3 …

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Science, Uncertainty, And Stewardship: Climate Change Viewpoints In Higher Education, Jamie Jensen, Isaiah Aduse-Poku Jul 2026

Science, Uncertainty, And Stewardship: Climate Change Viewpoints In Higher Education, Jamie Jensen, Isaiah Aduse-Poku

ScholarsArchive Data

This dataset supports a Q-methodology study of climate change viewpoints among undergraduate students at Brigham Young University. Participants were recruited from an introductory non-majors biology course during Fall 2025. The study examined how students organized climate-change views across scientific evidence, human causation, uncertainty, political beliefs, religious stewardship, moral responsibility, perceived agency, climate policy, and future risks.

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Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed Jul 2026

Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed

Publications and Research

Despite increasing analytical sophistication, empirical research in organization studies continues to suffer from fragile inference, uneven theoretical accumulation, and contested credibility. This paper seeks to explain why these problems persist by shifting attention from authors’ methodological choices to the evaluative dynamics of peer review. Adopting a conceptual and theory-analytic approach, the paper theorizes peer review as an inferential gatekeeping system. Drawing on research design, theory evaluation, and philosophy-of-science literatures, this study develops an analytical framework to examine how evaluative routines shape what constitutes empirical rigor during the review process. The analysis identifies five recurring reviewer blind spots: inferential scope inflation, …

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Decoding The Allosteric Grammar Of Protein Kinases: A Dual-Stream Framework Integrating Protein Language Models And Energy Landscape Frustration Analysis, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Kamila Riedlova, Vít Škrhák, Marian Novotný, David Hoksza, Gennady M. Verkhivker Jul 2026

Decoding The Allosteric Grammar Of Protein Kinases: A Dual-Stream Framework Integrating Protein Language Models And Energy Landscape Frustration Analysis, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Kamila Riedlova, Vít Škrhák, Marian Novotný, David Hoksza, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The spatial and energetic encoding of allosteric regulatory sites remains a major challenge in structural biology, frequently representing a “blind spot” for sequence-based artificial intelligence (AI) models. We present a protein language model (PLM)-guided approach complemented by the energy landscape frustration analysis as a dual-stream framework to investigate the relationship between AI prediction of binding sites and biophysical organization of regulatory pockets across the human kinome. By probing a fine-tuned residue-level PLM classifier across 453 kinase structures, a clear performance gap is discovered between highly predictable orthosteric pockets (Types I, I.5, and II) and poorly resolved distal allosteric sites (Type …

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