Basic Index Research Articles

Study on Quantitative Assessment of CO2 Leakage Risk Along the Wellbore Under the Geological Storage of the Salt Water Layer

In the process of CO2 geological storage in the salt water layer, CO2 leakage along the wellbore will seriously affect the effective storage of CO2 in the target geological area. To solve this problem, based on the investigation of a large number of failure cases of CO2 storage along the wellbore and failure cases of gas storage wells in the injection stage of the wellbore, the influencing factors of CO2 leakage risk along the wellbore were investigated in detail. Based on the analytic hierarchy process (AHP) and extension theory, 17 basic evaluation indexes were selected from 6 perspectives to establish the evaluation index system of CO2 leakage risk along the wellbore. The established evaluation system was used to evaluate the leakage risk of a CO2 storage well in the X gas field of BZ Block. The results showed that the influencing factors of tubing had the smallest weight, followed by cement sheath, and the influencing factors of casing–cement sheath interface and cement sheath–formation interface had the largest weight, accounting for 23.73% and 34.32%, respectively. The CO2 storage well leakage risk evaluation grade was Ι, with minimal leakage risk. The CO2 storage effect was excellent. The evaluation system comprehensively considers the tubing string, cement sheath, and micro-annulus interface, which can provide a scientific basis for the risk assessment of CO2 leakage along the wellbore under the CO2 geological storage of the salt water layer.

Population genetic analysis of the Lviv region based on surname data

Aim. The study aimed to determine indicators characterizing the population structure of the Lviv region. Methods. The study employed the method of describing the genetic structure of the population using surnames, as proposed by I. Barrai. Results. Indicators of population structure in district populations of the Lviv region exhibited a wide range of values. The basic index, the isonymy index (I), varied between 2.3 and 26.5 (×10-4). The inbreeding coefficient (FST) ranged from 11.2 to 66.1 (×10-5), the migration index (v) from 70.8 to 212.9 (10-4), the diversity index (a) from 3.8 to 22.9 (×102), the entropy index (H) from 10.0 to 13.0, and the redundancy of surnames (R) from 26.1 to 36.2. In some settlements, there is an accumulation of bearers of the same surname, which can be explained by the founder effect. Conclusions. The rates of isonymy, inbreeding, and migration in district populations were several times higher than those observed in the regional population. The level of isonymy was lowest in areas with high tourist and transit activity.

Exploring the relationship between lipid metabolism and cognition in individuals living with stable-phase Schizophrenia: a small cross-sectional study using Olink proteomics analysis

BackgroundCognitive impairment is a core symptom of schizophrenia. Metabolic abnormalities impact cognition, and although the influence of blood lipids on cognition has been documented, it remains unclear. We conducted a small cross-sectional study to investigate the relationship between blood lipids and cognition in patients with stable-phase schizophrenia. Using Olink proteomics, we explored the potential mechanisms through which blood lipids might affect cognition from an inflammatory perspective.MethodsA total of 107 patients with stable-phase schizophrenia and cognitive impairment were strictly included. Comprehensive data collection included basic patient information, blood glucose, blood lipids, and body mass index. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and the MATRICS Consensus Cognitive Battery (MCCB). After controlling for confounding factors, we identified differential metabolic indicators between patients with mild and severe cognitive impairment and conducted correlation and regression analyses. Furthermore, we matched two small sample groups of patients with lipid metabolism abnormalities and used Olink proteomics to analyze inflammation-related differential proteins, aiming to further explore the association between lipid metabolism abnormalities and cognition.ResultsThe proportion of patients with severe cognitive impairment (SCI) was 34.58%. Compared to patients with mild cognitive impairment (MCI), those with SCI performed worse in the Attention/Alertness (t = 2.668, p = 0.009) and Working Memory (t = 2.496, p = 0.014) cognitive dimensions. Blood lipid metabolism indicators were correlated with cognitive function, specifically showing that higher levels of TG (r = -0.447, p < 0.001), TC (r = -0.307, p = 0.002), and LDL-C (r = -0.607, p < 0.001) were associated with poorer overall cognitive function. Further regression analysis indicated that TG (OR = 5.578, P = 0.003) and LDL-C (OR = 5.425, P = 0.001) may be risk factors for exacerbating cognitive impairment in individuals with stable-phase schizophrenia. Proteomics analysis revealed that, compared to individuals with stable-phase schizophrenia and normal lipid metabolism, those with hyperlipidemia had elevated levels of 10 inflammatory proteins and decreased levels of 2 inflammatory proteins in plasma, with these changes correlating with cognitive function. The differential proteins were primarily involved in pathways such as cytokine-cytokine receptor interaction, chemokine signaling pathway, and IL-17 signaling pathway.ConclusionBlood lipids are associated with cognitive function in individuals with stable-phase schizophrenia, with higher levels of TG, TC, and LDL-C correlating with poorer overall cognitive performance. TG and LDL-C may be risk factors for exacerbating cognitive impairment in these patients. From an inflammatory perspective, lipid metabolism abnormalities might influence cognition by activating or downregulating related proteins, or through pathways such as cytokine-cytokine receptor interaction, chemokine signaling pathway, and IL-17 signaling pathway.

Modeling regional occupancy of fishes using acoustic telemetry: a model comparison framework applied to lake trout

Acoustic telemetry is a common tool used in fisheries management to estimate fish space use (i.e., occupancy) from a local habitat scale to entire systems. Numerous analytical models have been developed to estimate different aspects of fish movement from telemetry datasets, yet evaluations of model performance and comparisons among models are limited. Here, we develop a framework to evaluate model estimates of regional occupancy in large and fragmented systems using an acoustic receiver array in Lake Champlain. We simulated the tracks of 100 acoustically tagged fish using a random walk function and created detection events based on receiver positions and distance-based detection probability. Regional occupancy for the simulated data was estimated by six movement models that ranged in analytical complexity, and results were compared to the true distributions for each simulated track to evaluate model error. The six movement models included: (1) a basic residency index using detections alone; (2) a residency index using last-observation-carried-forward; (3) a centers of activity model; (4) linear and non-linear interpolations (i.e., least-cost paths); and (5 and 6) two dynamic Brownian bridge movement models generated using separate packages in R. We developed a model selection process to compare model performance and select the optimal analysis based on simulation error. This process showed significant differences in model performance among the six movement models based on model error. Overall, the model generating least-cost paths using linear and non-linear interpolations consistently provided the most accurate regional occupancy estimates. Based on these simulation results, we applied this model to a case study that evaluated patterns in the regional distribution of stocked lake trout (Salvelinus namaycush) in Lake Champlain, which demonstrated distinct regional occupancy of two stocked lake trout groups. These results demonstrate potential for large variability in interpretation of acoustic telemetry data for describing regional fish distribution dependent on the analytical method used.

Mechanism of Takifugu bimaculatus Skin Peptides in Alleviating Hyperglycemia in Rats with Type 2 Diabetic Mellitus Based on Microbiome and Metabolome Analyses.

In this study, we aimed to explore the hypoglycemic effects of a hydrolysate on Takifugu bimaculatus skin (TBSH). The effect of the dipeptidyl peptidase-IV (DPP-IV) inhibitory activities from different TBSH fractions was investigated on basic indexes, gut hormones, blood lipid indexes, viscera, and the gut microbiota and its metabolites in rats with type 2 diabetes mellitus (T2DM). The results showed that the <1 kDa peptide fraction from TBSH (TBP) exhibited a more potent DPP-IV inhibitory effect (IC50 = 0.45 ± 0.01 mg/mL). T2DM rats were induced with streptozocin, followed by the administration of TBP. The 200 mg/kg TBP mitigated weight loss, lowered fasting blood glucose levels, and increased insulin secretion by 20.47%, 25.23%, and 34.55%, respectively, rectified irregular hormonal fluctuations, lipid metabolism, and tissue injuries, and effectively remedied gut microbiota imbalance. In conclusion, TBP exerts a hypoglycemic effect in rats with T2DM. This study offers the potential to develop nutritional supplements to treat T2DM and further promote the high-value utilization of processing byproducts from T. bimaculatus. It will provide information for developing nutritional supplements to treat T2DM and further promote the high-value utilization of processing byproducts from T. bimaculatus.

Relationship between public spending and educational efficiency of municipalities in Santa Catarina

High-quality public education plays a crucial role in mitigating socioeconomic disparities and promoting regional development. This study aims to analyze the relationship between public spending and the educational efficiency of municipalities in Santa Catarina. Using data from 2017 and 2019. this paper relies on the Basic Education Development Index (IDEB) as the main metric, analyzing a sample of 262 municipalities in Santa Catarina. Statistical methods, including Multiple Linear Regression and the TOPSIS multicriteria analysis technique, were employed to evaluate the efficiency of educational spending and rank the municipalities in terms of effectiveness. The results indicate that a higher GDP per capita does not necessarily correlate with superior educational performance, highlighting the complexity of factors influencing educational efficiency. Variables such as Average Spending and the Human Development Index (HDI) emerged as significant determinants of IDEB, underscoring their importance in improving municipal educational indicators. The conclusion of this study offers valuable insights for researchers and public managers, providing a basis for evaluating educational policy and supporting decisions aimed at optimizing the allocation of public resources to promote more efficient and equitable management of the educational system.

Assessment of Probiotics' Impact on Neurodevelopmental and Behavioral Responses in Zebrafish Models: Implications for Autism Spectrum Disorder Therapy.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder; the prevalence of which has been on the rise with unknown causes. Alterations in the gut-brain axis have been widely recognized in ASD patients, and probiotics are considered to potentially benefit the rescuing of autism-like behaviors. However, the effectiveness and mechanisms of multiple probiotics on zebrafish models are still not clearly revealed. This study aims to use the germ-free (GF) and conventionally raised (CR) AB wild-type zebrafish and the mutant Tbr1b-/- and Katnal2-/- lines as human-linked ASD animal models to evaluate the effects of multiple probiotics on mitigating developmental and behavioral defects. Results showed that the addition of probiotics increased the basic important developmental indexes, such as body length, weight, and survival rate of treated zebrafish. Moreover, the Lactobacillus plantarum and Lactobacillus rhamnosus affected the behavior of CR zebrafish by increasing their mobility, lowering the GF zebrafish manic, and mitigating transgenic zebrafish abnormal behavior. Moreover, the expression levels of key genes related to gamma-aminobutyric acid (GABA), dopamine (DA), and serotonin (5-HT) as important neuropathways to influence the appearance and development of autism-related disorders, including gad1b, tph1a, htr3a, th, and slc6a3, were significantly activated by some of the probiotics' treatment at some extent. Taken together, this study indicates the beneficial effects of different probiotics, which may provide a novel understanding of probiotic function in related diseases' therapy.

A dataset of the 1 km-grid road network density in China (2019)

Road network density is a basic index of evaluating regional road development scale and road network development degree. The measurement and monitoring of road network density (as a comprehensive characterization index) plays an important role in the assessment of regional traffic and economic development, and provide reference for urban road management and control measures, which is of great significance to urban planning and municipal management. In this paper, based on the vector data of railway land, highway land, urban and village road land and rail transit in the Third National Land Survey, we extracted the road center line, using the km-grade network production software, to obtain a dataset of the 1km-grid road network density in China in 2019. Rigorous quality control and quality inspection measures throughout all stages of data processing have been implemented, including road surface vector extraction, road skeleton line extraction, and kilometer grid density calculation, to ensure the correctness, integrity and consistency of the data. This dataset can be used for the study on the preparation for the national territory development plan, the evaluation of plan implementation, the calculation of status factors for regional transportation development, and accessibility calculation.

Flow Properties of Coarse Powders Used in Food Extrusion as a Function of Moisture Content

The extrusion processing of food powder relies heavily on its moisture content to aid in flow and proper cooking, shaping, and/or puffing. This study focused on the impact of the moisture content on the dynamic flow and shear properties of coarse food powders (corn meal, wheat farina, and granulated sugar). The dynamic flow properties explored were the specific basic flowability energy (SBFE), specific energy, stability index, and flow rate index. The shear properties were the angle of internal friction, unconfined yield strength, major principal stress, wall friction angle, flow factor (FF), and compressibility. Corn meal exhibited an increase in SBFE as the moisture content increased (6.70 mJ/g at 13.13% to 9.14 mJ/g at 19.61%) but no change in FF (4.94 to 5.11); wheat farina also showed an increase in energy requirement as the moisture increased (5.81 mJ/g at 13.73% to 9.47 mJ/g 19.57%) but a marked decrease in FF ratings (18.47 to 6.1); granulated sugar showed a decrease in energy requirements as the moisture increased (51.73 mJ/g at 0.06% moisture content to 13.58 mJ/g at 0.78% moisture content) and a decrease in FF ratings (8.53 to 3.47). Overall, upon the addition of moisture, corn meal became cohesive yet free-flowing; wheat farina became less compressible and more cohesive; and granulated sugar became more cohesive and compressible and less free-flowing.

Difference in regional logistics development level in China based on entropy weight TOPSIS and Dagum models

The high-quality development of the logistics industry, which is an essential and strategic industry supporting the national economic operation and a fundamental component of modern industrial system construction, is not only a key component of the high-quality development of the national economy but also the main driving force for the high-quality growth of the national economy. As the supporting industry of the national economy, the logistics industry will also face spatial disequilibrium during development. Therefore, to achieve the coordinated development of the logistics industry, the high-quality development and the spatial-temporal unbalanced development status of the logistics industry in each province must be figured out first. This research established a comprehensive evaluation system for the logistics industry development, which included 14 basic indexes based on the provincial-level panel data of 30 provinces in China during 2009–2020. Then, the regional logistics development level score in China was measured using the entropy weight TOPSIS method, and the differences in the regional logistics development level in China and the dynamic evolution law of their distribution were deeply explored through the Dagum Gini coefficient model. The research results revealed that the evaluation index system (14 basic indexes) for the regional logistics industry development level in China was relatively scientific and reasonable; the regional logistics industry development level in China was increasing year by year, showing a steady upward trend, and the imbalance in the eastern, central, and western regions regarding the regional logistics development was shrinking year by year; the average intergroup contribution rate was 36.33%, the intragroup contribution rate was 31.49%, and the contribution rate of intensity of trans variation was 32.19%, proving that the regional differences exerted a most extraordinary influence on the spatial differences in the regional logistics industry development level in China. The research results have important reference value for summarizing the meaning of high-quality logistics industry development, constructing the evaluation index system for logistics industry development, and exploring the reasons for the temporal and spatial differences in logistics industry development in China.

Indirect Effects of Neighbourhood Socioeconomic Status on Preterm Birth Risk in an Argentine Population.

Preterm birth (PTB) is the main condition related to perinatal morbimortality worldwide. The aim of this study was to determine the indirect effects of neighbourhood socioeconomic status (NSES) on the risk of spontaneous PTB. We carried out a retrospective case-control study including sociodemographic and obstetric data of multigravid women who gave birth at a maternity hospital in Tucumán, Argentina, between 2005 and 2010: 949 women without previous PTB nor pregnancy loss who delivered at term and 552 who had spontaneous PTB. NSES was estimated from the Unsatisfied Basic Needs index of census data. Variables selected through penalised regressions were used to create a data-driven Bayesian network; then, pathways were identified and mediation analyses performed. Maternal age less than 20 years mediated part of the protective effect of high NSES on spontaneous PTB [natural indirect effect (NIE) -0.0125, 95% confidence interval (CI) (-0.0208, -0.0041)] and on few prenatal visits (< 5) [NIE - 0.0095, 95% CI (-0.0166, -0.0025)]. These pathways showed greater sensitivity to unobserved confounders that affect the variables mediator-outcome in the same direction, and exposure-mediator in the opposite direction. They did not show sensitivity to observed potential confounders, nor to the parameterization used to define NSES. Meanwhile, urinary tract infections showed a trend in mediating the effect of low NSES on spontaneous PTB [NIE 0.0044, 95% CI (-0.0006, 0.0093), P 0.0834]. High NSES has protective indirect effects on spontaneous PTB risk, mainly associated with a lower frequency of teenage pregnancy.

Exploring the mechanism of Weissella cibaria cooperating with Lactiplantibacillus plantarum to improve volatile flavor of Sichuan pickle using dialysis membranes

This study established a laboratory-scale dialysis membrane isolation device to explore bacterial cooperative fermentation mechanisms and their effects on pickle fermentation quality. Results showed the dialysis membranes with molecular weight cut-off of 1000 kDa was particularly effective in restricting Lactiplantibacillus plantarum LP067 and Weissella cibaria WC018 while facilitating nutrient and metabolite exchange. Our results showed that using dialysis membranes did not significantly affect the quality of cooperative fermentation Sichuan pickles. Using this dialysis membrane system, the Sichuan pickles of mono-inoculation or co-inoculation of Lactiplantibacillus plantarum LP067 or Weissella cibaria WC018 of the basic physicochemical index, organic acids, volatile flavor compounds, and sensory properties were evaluated. Compared to mono-inoculation of Lactiplantibacillus plantarum LP067 or Weissella cibaria WC018, co-inoculation accelerated acetic and lactic acids production, also significantly promoted the generation of volatile flavor compounds, such as esters, aldehydes, and ketones, including isobutyl formate, ethyl palmitate, ethyl acetate, 1-octen-3-ol and benzaldehyde. Meanwhile, cooperative fermentation increased the aroma complexity of Sichuan pickle, and thus to improve its overall sensory acceptability. The transcriptomic results revealed that W. cibaria WC018 enhanced the levels of genes related to lactic acid and acetic acid metabolism in L. plantarum LP067. The results provided a novel perspective for the isolation of individual strains in the cooperative fermentation process and laid a theoretical foundation to further explore the cooperative fermentation mechanisms among the same type strains.

Superconformal indices and localization in N = 2B quantum mechanics

Superconformal ‘type B’ quantum mechanical sigma models arise in a variety of interesting contexts, such as the description of D-brane bound states in an AdS2 decoupling limit. Focusing on N = 2B models, we study superconformal indices which count short multiplets and provide an alternative to the standard Witten index, as the latter suffers from infrared issues. We show that the basic index receives contributions from lowest Landau level states in an effective magnetic field and that, due to the noncompactness of the target space, it is typically divergent. Fortunately, the models of interest possess an additional target space isometry which allows for the definition of a well-behaved refined index. We compute this index using localization of the functional integral and find that the result agrees with a naive application of the Atiyah-Bott fixed point formula outside of it’s starting assumptions. In the simplest examples, this formula can also be directly verified by explicitly computing the short multiplet spectrum.

Modelling phytoplankton-virus interactions: phytoplankton blooms and lytic virus transmission

A dynamic reaction–diffusion model of four variables is proposed to describe the spread of lytic viruses among phytoplankton in a poorly mixed aquatic environment. The basic ecological reproductive index for phytoplankton invasion and the basic reproduction number for virus transmission are derived to characterize the phytoplankton growth and virus transmission dynamics. The theoretical and numerical results from the model show that the spread of lytic viruses effectively controls phytoplankton blooms. This validates the observations and experimental results of Emiliana huxleyi-lytic virus interactions. The studies also indicate that the lytic virus transmission cannot occur in a low-light or oligotrophic aquatic environment.

Ефект от заместването на ечемик със слънчогледов експелер през флъшинг периода и бременността при овце от породата Вакла маришка

An experiment was made to compare some basic productive indexes in sheep of the Pach-head Maritsa breed when replacing barley grain with sunflower expeller in their rations during “flushing – pregnancy”- period. The obtained results indicate a trend of positive influence of feed replacement as follows: body scoring index of sheep at the end of pregnancy - 3.58 (expeller) against 3.25 (barley); percentage of ewes with twins – 28.57 vs. 20%, respectively; average live weight of lambs at birth – 4,110 vs. 3,974 kg; average live weight of lambs at 30 days – 15,060 vs. 14,720 kg. With identical prices for both forages, the authors recommend replacing barley with sunflower expeller.

Study of The Technical Index of Online Learning Behavior Analysis of Nursing Majors on The Superstar Platform Based on The Kirkpatrick Evaluation Model

Objective: To analyze the technical indexes of students’ online learning behavior analysis based on Kirkman’s evaluation model, sort out the basic indexes of online learning behavior, and extract scientific and efficient evaluation indexes of online learning effect through statistical analysis. Methods: The online learning behavior data of Physiology of nursing students from 2021–2023 and the first semester of 22 nursing classes (3 and 4) were collected and analyzed. The preset learning behavior indexes were analyzed by multi-dimensional analysis and a correlation analysis was conducted between the indexes and the final examination scores to screen for the dominant important indexes for online learning effect evaluation. Results: The study found that the demand for online learning of nursing students from 2021–2023 increased and the effect was statistically significant. Compared with the stage assessment results, the online learning effect was statistically significant. Conclusion: The main indicators for evaluating and classifying online learning behaviors were summarized. These two indicators can help teachers predict which part of students need learning intervention, optimize the teaching process, and help students improve their learning behavior and academic performance.

Genetic parameters for mid-infrared-spectroscopy-predicted mastitis phenotypes and related traits.

Genetic improvement of udder health in dairy cows is of high relevance as mastitis is one of the most prevalent diseases. Since it is known that the heritability of mastitis is low and direct data on mastitis cases are often not available in large numbers, auxiliary traits, such as somatic cell count (SCC) are used for the genetic evaluation of udder health. In previous studies, models to predict clinical mastitis based on mid-infrared (MIR) spectral data and a somatic cell count-derived score (SCS) were developed. Those models can provide a probability of mastitis for each cow at every test-day, which is potentially useful as an additional auxiliary trait for the genetic evaluation of udder health. Furthermore, MIR spectral data were used to estimate contents of lactoferrin, a glycoprotein positively associated with immune response. The present study aimed to estimate heritabilities (h2) and genetic correlations (ra) for clinical mastitis diagnosis (CM), SCS, MIR-predicted mastitis probability (MIRprob), MIR + SCS-predicted mastitis probability (MIRSCSprob) and lactoferrin estimates (LF). Data for this study were collected within the routine milk recording and health monitoring system of Austria from 2014 to 2021 and included records of approximately 54,000 Fleckvieh cows. Analyses were performed in two datasets, including test-day records from 5 to 150 or 5 to 305 days in milk. Prediction models were applied to obtain MIR- and SCS-based phenotypes (MIRprob, MIRSCSprob, LF). To estimate heritabilities and genetic correlations bivariate linear animal models were applied for all traits. A lactation model was used for CM, defined as a binary trait, and a test-day model for all other continuous traits. In addition to the random animal genetic effect, the fixed effects year-season of calving and parity-age at calving and the random permanent environmental effect were considered in all models. For CM the random herd-year effect, for continuous traits the random herd-test day effect and the covariate days in milk (linear and quadratic) were additionally fitted. The obtained genetic parameters were similar in both datasets. The heritability found for CM was expectedly low (h2 = 0.02). For SCS and MIRSCSprob, heritability estimates ranged from 0.23 to 0.25, and for MIRprob and LF from 0.15 to 0.17. CM was highly correlated with SCS and MIRSCSprob (ra = 0.85 to 0.88). Genetic correlations of CM were moderate with MIRprob (ra = 0.26 and 0.37) during 150 and 305 days in milk, respectively and low with LF (h2 = 0.10 and 0.11). However, basic selection index calculations indicate that the added value of the new MIR-predicted phenotypes is limited for genetic evaluation of udder health.

Research on the Evaluation Index System Construction of Online Games Overseas Communication

Online games have become a new medium for international cultural communication, but Chinese overseas games mostly take western culture as their themes at present, which leads to the common phenomenon of fragmented and hollowed expression of Chinese culture. Through the study of related theories about online game ontology, overseas communication of games and evaluation index system of communication power, the author analyzes the current situation of overseas communication of online games, focus on the content expression of cultural confidence and constructs the prototype of basic evaluation index. Then the prototype of the evaluation system is used to verify the Self-developed Game Database and proofread the evaluation results and background internal data, so as to form an evaluation index system of online games overseas communication.

Shelf life extended: Focus on microbiota identification, nutrition value, color difference and lipid oxidation of puffed bean products

Puffed bean products(PBP)contain a large amount of protein, and are susceptible to microbial contamination or harmful substances during storage and processing. In this study, the migration rule of microbial quantity and basic index during storage of the same batch and taste PBP was analyzed, and the spoilage bacteria in different periods of PBP were identified and analyzed by high-throughput DNA sequencing (HTS) The results showed that the peroxide value, acid value and mold count of PBP did not exceed the Chinese national standard, and the peak heights of the functional group characteristic peaks in different periods did not change significantly, further indicating that the degree of oxidation of fats and oils in the PBP was relatively light. During storage, the total colony count of PBP increased rapidly in the first two weeks, and controlling the microbial count of the products is the key to extend the shelf life of PBP. Bacterial colonisation affected the alkaline nitrogen and free amino acid content, resulting in a small increase in content. There was no significant change in the content of water activity this may be related to the choice of vacuum packaging for PBP. The brightness value in the colour difference value increased and the redness value decreased this may be related to the high temperature during the high temperature refining process of the chilli seasoning, the high temperature destroys the pigment in the chilli. The dominant bacterial genera of puffed soya products within shelf life were Pantoea, Streptococcus, Kocuria and the dominant fungal genera were Altemaria, Aspergillus. The dominant bacterial genera of expired samples were Bacillus, Rhodococcus. The main dominant fungal genus was Aspergillus. Results of the study will help to better control the growth of microorganisms in the future, as well as to improve the shelf-life and taste of the products.

A Data-Driven Autonomous Assessment Framework for Education Quality Based on Multiscale Deep Learning

Nowadays, computational intelligence-assisted autonomous assessment of education quality has become a more and more general concern in the area of smart education management. As education quality assessment is a complicated process with multiple heterogeneous factors, it remains challenging to make effective assessment using simple information modality and criteria. To deal with this issue, this paper introduces multiscale deep learning, and proposes a novel data-driven autonomous assessment framework for education quality. In particular, four aspects of heterogeneous indicators are selected as the basic indexes and a dilated convolutional neural network structure is formulated to perform multiscale feature extraction. Then, the structural equation is adopted to make multivariate characterization and output the final assessment results. At last, some simulations are carried out on realistic education operation data to evaluate the efficiency of the proposed autonomous assessment framework. Two aspects of findings can be deduced from the results. For one thing, multisource fusion of multiple indicators well makes sense to autonomous education assessment. For another, multiscale deep learning can provide some beneficial promotion to assessment efficiency.