Flavor Wheel Development and Sensory Quantitative Descriptive Analysis of Chinese Brewed Soy Sauce

Based on sensory descriptors developed by a sensory evaluation panel for 48 commercial Chinese brewed soy sauce samples, a flavor wheel of Chinese brewed soy sauce with 55 descriptors in the dimensions of aroma and flavor was developed for the first time. Meanwhile, a lexicon of sensory descriptors for brewed soy sauce containing reference samples with different intensities was established, and 20 brewed soy sauce samples of different grades and from different geographical origins were subjected to sensory evaluation by quantitative descriptive analysis (QDA) using this lexicon. The results showed that the characteristic flavor attributes of soy sauce were soy paste-like, salty, umami, Chinese herbal, and cooked soybean-like aromas. Through analysis of variance (ANOVA), principal component analysis (PCA) and discriminant analysis (DA), it was found that there were significant differences in sensory properties among soy sauce of different grades and from different regions. This study can provide a methodological reference for sensory quality analysis of Chinese brewed soy sauce

GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping

Constructing a 3D scene capable of accommodating open-ended language queries, is a pivotal pursuit, particularly within the domain of robotics. Such technology facilitates robots in executing object manipulations based on human language directives. To tackle this challenge, some research efforts have been dedicated to the development of language-embedded implicit fields. However, implicit fields (e.g. NeRF) encounter limitations due to the necessity of processing a large number of input views for reconstruction, coupled with their inherent inefficiencies in inference. Thus, we present the GaussianGrasper, which utilizes 3D Gaussian Splatting to explicitly represent the scene as a collection of Gaussian primitives. Our approach takes a limited set of RGB-D views and employs a tile-based splatting technique to create a feature field. In particular, we propose an Efficient Feature Distillation (EFD) module that employs contrastive learning to efficiently and accurately distill language embeddings derived from foundational models. With the reconstructed geometry of the Gaussian field, our method enables the pre-trained grasping model to generate collision-free grasp pose candidates. Furthermore, we propose a normal-guided grasp module to select the best grasp pose. Through comprehensive real-world experiments, we demonstrate that GaussianGrasper enables robots to accurately query and grasp objects with language instructions, providing a new solution for language-guided manipulation tasks. Data and codes can be available at https://github.com/MrSecant/GaussianGrasper

The SARS-CoV-2 vaccination rate and hesitation in Shanghai older adults with dementia

BackgroundOlder adults, particularly those with dementia, are at the greatest risk for being affected by SARS-CoV-2. Despite the Chinese government’s efforts to encourage older adults to receive SARS-CoV-2 vaccines, the vaccination rate, especially among older adults with dementia, remains low.ObjectiveThis study aimed to examine the willingness and attitudes towards vaccination among guardians of older adults with dementia and to uncover the factors that may have influenced attitudes towards vaccination during the 2022 Omicron Variant of SARS-CoV-2 outbreak in Shanghai, China.MethodsWe conducted a cross-sectional study using self-administered anonymous questionnaires to guardians of dementia patients in three settings: psychogeriatric inpatient wards, long-term care facilities, and home settings from April to May 2022. The primary outcome was participants’ willingness to allow dementia patients to receive SARS-CoV-2 vaccines. Logistic regression analyses were used to identify factors associated with vaccination willingness.ResultsA total of 327 valid questionnaires were collected. The vaccination rate among participants from long-term care facilities (12.9%) was lower than those in the psychiatric ward (19.3%) or community-dwelling settings (27.1%) (p < 0.05). The guardians’ primary concern was that vaccination would aggravate the health conditions of dementia patients [adjusted odds ratio (OR) = 5.11; 95% confidence interval (CI): 1.86–14.05]. Additionally, negative reports about the vaccination [OR = 3.94; 95% CI: 1.68–9.24], and adverse reactions [OR = 2.50; 95% CI: 1.13–5.52] were related to higher odds of vaccine hesitancy.ConclusionOur results showed that low vaccination rates in older adults with dementia were mainly due to their guardians’ concerns about vaccine safety. Our findings first uncovered the actual SARS-CoV-2 vaccination rates among older adults with dementia and may provide potential interventions to reduce unjustified worries towards vaccination

Preparation and Application of Antioxidative Chitosan/Soybean Protein Isolate Composite Edible Membrane

Taking chitosan (CS) and soybean protein isolate (SPI) as composite membrane substrates and natural antioxidants as active substances, an edible active preservative film with inhibitory effect on lipid oxidation was developed. After optimizing the type and concentration of antioxidants through the mechanical properties, microstructure, physical properties, and antioxidant properties of the composite membrane, the preservation effect of the composite membrane on walnut oil was investigated. Results showed that, eight antioxidants significantly improved the oxygen-barrier ability of the composite membranes (P<0.05). Especially，the peroxide value of walnut oil was reduced by about 80% and maintained excellent mechanical properties with the addition of astaxanthin, grape seed extracts and vitamin C. When the addition of astaxanthin was 0.3%, the composite membrane exhibits the best performance, then the tensile strength, elongation at break, DPPH free radical scavenging capacity and water vapor permeability of the composite membrane were 6.546 MPa, 69.962%, 80.1%, 1.21 g∙mm/m2∙h∙kPa, respectively. Scanning electron microscopy revealed that the surface of the membrane was smooth, regular and uniform. Fourier transform infrared spectroscopy showed that membrane-forming materials were extremely compatible. The differential scanning calorimeter analysis showed that the composite membrane had the highest thermal enthalpy, reaching 233.940 J/g, with the best thermal stability. When the walnut oil was coated with a composite membrane containing astaxanthin, the oil’s peroxide value was reduced by 81.8%, conjugated diene by 44.4% and conjugated triene values by 66.4% compared to the control. Chitosan/soybean protein isolate composite membrane with astaxanthin significantly delayed the process of walnut oil oxidation

Analysis of the Interference Effects in CMOS Image Sensors Caused by Strong Electromagnetic Pulses

With the electromagnetic environment becoming increasingly complex, it is crucial to address the risk posed by electromagnetic pulse, which critically impairs the performance and reliability of electronic systems based on complementary metal oxide semiconductor (CMOS) image sensors. In this context, research on the failure types of CMOS image sensors in a high-power electromagnetic environment, caused by strong electromagnetic pulses and the rapid evaluation method of interference immunity, has garnered significant interest. This paper conducts electromagnetic pulse simulation experiments on CMOS image sensors to first study their failure types, such as image abnormalities and functional interruption, and then identify the corresponding failure criteria. Furthermore, this study builds on the small sample test evaluation method to investigate the interference threshold of functional interruptions in CMOS image sensors by calculating the failure probability at different field strengths. The obtained data were combined with the Weibull distribution function for fitting, the results of which found the interference threshold to be at 40.4 kV/m. The findings of this study provide a basis for evaluating the survivability of CMOS image sensors and their associated reinforcement technology in high-power electromagnetic environments

Effect of reduced nitrogen fertilizer application combined with biochar on nitrogen utilization of flue-cured tobacco and its association with functional gene expressions of the nitrogen cycle in rhizosphere soil

Studies have shed light on the impact of the co-application of inorganic fertilizer and biochar on soil fertility, health, and crop growth performance and yield. However, insufficient literature exists regarding the appropriate nitrogen reduction ratio for enhancing soil quality and maximizing crop nitrogen utilization following the application of biochar in a continuous tobacco-rice rotation field. Here, we explored nitrogen absorption and utilization patterns of tobacco crops, as well as the response characteristics of functional genes related to soil nitrogen cycling subjected to the interaction of reduced nitrogen utilization ratios following biochar application in a long-term tobacco-rice rotation field. The results showed that the treatments with 10% (T2) and 20% (T3) nitrogen reduction combined with biochar (30 t∙ha−1) promoted nitrogen utilization efficiency and nitrogen harvest index of tobacco plants. In the second year of the experiment, T2 and T3 significantly increased the nitrogen harvest index by 3.85% and 5.78% compared with the conventional nitrogen application treatment (T1), respectively. We believe that the increase in abundance of nitrification, nitrogen fixation, and ammonification genes, including nxrA, nifH, and UreC in the rhizosphere soil, precipitate the high nitrogen absorption and utilization efficiency in the biochar combined with nitrogen reduction treatments, respectively. This suggests that biochar application at a rate of 30 t·ha−1, nitrogen fertilizer usage can be reduced by 10% and 20% to achieve optimal and sustainable tobacco production

characterization of pm1 bound metallic elements in the ambient air at a high mountain site in northern china

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Population genetics, diversity and forensic characteristics of Tai–Kadai-speaking Bouyei revealed by insertion/deletions markers

Abstract(#br)China, inhabited by over 1.3 billion people and known for its genetic, cultural and linguistic diversity, is considered to be indispensable for understanding the association between language families and genetic diversity. In order to get a better understanding of the genetic diversity and forensic characteristics of Tai–Kadai-speaking populations in Southwest China, we genotyped 30 insertion/deletion (InDel) markers and amelogenin in 205 individuals from Tai–Kadai-speaking Bouyei people using the Qiagen Investigator DIPplex amplification kit. We carried out a comprehensive population genetic relationship investigation among 14,303 individuals from 84 worldwide populations based on allele frequency correlation and 4907 genotypes of 30 InDels from 36 populations distributed in..

Genomic Insights Into the Admixture History of Mongolic- and Tungusic-Speaking Populations From Southwestern East Asia

As a major part of the modern Trans-Eurasian or Altaic language family, most of the Mongolic and Tungusic languages were mainly spoken in northern China, Mongolia, and southern Siberia, but some were also found in southern China. Previous genetic surveys only focused on the dissection of genetic structure of northern Altaic-speaking populations; however, the ancestral origin and genomic diversification of Mongolic and Tungusic–speaking populations from southwestern East Asia remain poorly understood because of the paucity of high-density sampling and genome-wide data. Here, we generated genome-wide data at nearly 700,000 single-nucleotide polymorphisms (SNPs) in 26 Mongolians and 55 Manchus collected from Guizhou province in southwestern China. We applied principal component analysis (PCA), ADMIXTURE, f statistics, qpWave/qpAdm analysis, qpGraph, TreeMix, Fst, and ALDER to infer the fine-scale population genetic structure and admixture history. We found significant genetic differentiation between northern and southern Mongolic and Tungusic speakers, as one specific genetic cline of Manchu and Mongolian was identified in Guizhou province. Further results from ADMIXTURE and f statistics showed that the studied Guizhou Mongolians and Manchus had a strong genetic affinity with southern East Asians, especially for inland southern East Asians. The qpAdm-based estimates of ancestry admixture proportion demonstrated that Guizhou Mongolians and Manchus people could be modeled as the admixtures of one northern ancestry related to northern Tungusic/Mongolic speakers or Yellow River farmers and one southern ancestry associated with Austronesian, Tai-Kadai, and Austroasiatic speakers. The qpGraph-based phylogeny and neighbor-joining tree further confirmed that Guizhou Manchus and Mongolians derived approximately half of the ancestry from their northern ancestors and the other half from southern Indigenous East Asians. The estimated admixture time ranged from 600 to 1,000 years ago, which further confirmed the admixture events were mediated via the Mongolians Empire expansion during the formation of the Yuan dynasty