Hydrothermal processing of soy protein products

Hydrothermal Cooking (HTC) is a steam infusion process used to continuously cook slurries at high temperatures for short periods of time. The objectives of present studies were to investigate the effects of HTC processing on functional properties of soy protein products and to contribute to a better understanding of protein ultrastructure changes induced by heat;In the first study, the effects of HTC processing on the functional properties of soy flour, soy protein concentrate (aqueous-alcohol-washed) and soy protein isolate were studied. HTC processing increased the NSI of soy protein concentrate by approximately four times (from 15 to 56%). HTC changed the solubility profile of soy protein concentrate from a flat profile to one typical of undenatured soy protein. It also improved foaming and emulsifying properties. For soy protein isolates, HTC also improved NSI, and foaming and emulsifying properties, although the effects were less dramatic than for soy protein concentrate. NSI and emulsifying properties of soy flour were also improved when processed for longer times than 19 sec. The foaming properties of soy flour were not improved by HTC;In the second study, the effects of HTC on coagulation properties of soymilk were investigated. HTC-processed soymilk, especially those processed at high temperature (162°C), gave lower tofu yields and lower solids and protein recoveries in tofu. HTC-processed soymilk, especially those processed at high temperature (132, 154, and 162°C), resulted in tofu with inferior texture characteristics, being very soft, fragile, and adhesive;In the final study, light microscopy, transmission electron microscopy, gel filtration chromatography, immuno rocket electrophoresis and differential scanning calorimetry (DSC) were used to investigate ultrastructure changes of soy products during HTC processing. HTC processing denatured soy proteins, but they existed as highly dispersable aggregates;The general conclusions were that HTC processing was a very effective means to improve functional properties of soy protein products, but has little potential in tofu production. HTC processing transformed proteins into smaller and more water dispersable aggregates than was achieved by traditional heating

Sampling Lov\'asz Local Lemma For General Constraint Satisfaction Solutions In Near-Linear Time

We give a fast algorithm for sampling uniform solutions of general constraint satisfaction problems (CSPs) in a local lemma regime. The expected running time of our algorithm is near-linear in $n$ and a fixed polynomial in $\Delta$, where $n$ is the number of variables and $\Delta$ is the max degree of constraints. Previously, up to similar conditions, sampling algorithms with running time polynomial in both $n$ and $\Delta$, only existed for the almost atomic case, where each constraint is violated by a small number of forbidden local configurations. Our sampling approach departs from all previous fast algorithms for sampling LLL, which were based on Markov chains. A crucial step of our algorithm is a recursive marginal sampler that is of independent interests. Within a local lemma regime, this marginal sampler can draw a random value for a variable according to its marginal distribution, at a local cost independent of the size of the CSP

To enlarge the travel markets from Shanghai to Turku (Shanghai CITS, Ltd.)

This paper is made in order to make thorough analysis in current Chinese travel markets and travel agencies, as well as the analysis on Turku’s travel markets, with which it can know the feasibility in enlarge the travel markets for CITS into Turku. In details, as the background information, the brief overview of history of China’s domestic travel agencies and a brief description of Shanghai CITS in terms of its business and management status are posed with the aim of getting enough supporting information. Further researches on background have been placed in the appendix, including the information of Chinese Oversea Travel Market, the information of Shanghai Travel Markets, More Information about CITS, and information of Turku Travel markets. As the preparation of marketing research on the above objective, theoretical structure about marketing and tourism are reviewed in terms of marketing mix theory, sustaining developments in tourism industry, brand marketing, and SWOT analysis. The research was mainly contained both secondary information and primary information, the secondary information is acquired mainly from domestic books and journals in writing for the introduction and analysis of Chinese and Turku’s travel markets, relative data will be collected within the range of the topic in supports the findings of primary information as well as the further analysis. Primary information is acquired from a semi-structured interview with on of the marketing manager in CITS, current working in Shanghai. And 9 questions will be posed in order to gather enough information for the CITS’ idea and desire in establishing abroad market. After the research multiple analyses including the SWOT analysis on the Shanghai and Turku’s travel markets, especially for the abroad touring market in Shanghai. Besides, the brand strategy in CITS is been researched, together with its marketing resource in planning, and the competition with other travel agencies. Conclusion and final findings will be focused in four aspects summarized from the above analysis, including the strengthening of macro-control in tourism market for Chinese Authorities, the establishment of sustainable tourism development concept, and the accelerate product development of tourism, the three aspects of analysis, in line with the suggestion for building strategic alliance with abroad hospitality companies and government and NGOs, will make the travel agencies have better performance in foreign traveling market, and as for CITS, the expansion in Turku will be much smoother than it supposed to be

Software Testing with Large Language Model: Survey, Landscape, and Vision

Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability to handle large-scale datasets and exhibit remarkable performance across a wide range of tasks. Meanwhile, software testing is a crucial undertaking that serves as a cornerstone for ensuring the quality and reliability of software products. As the scope and complexity of software systems continue to grow, the need for more effective software testing techniques becomes increasingly urgent, and making it an area ripe for innovative approaches such as the use of LLMs. This paper provides a comprehensive review of the utilization of LLMs in software testing. It analyzes 52 relevant studies that have used LLMs for software testing, from both the software testing and LLMs perspectives. The paper presents a detailed discussion of the software testing tasks for which LLMs are commonly used, among which test case preparation and program repair are the most representative ones. It also analyzes the commonly used LLMs, the types of prompt engineering that are employed, as well as the accompanied techniques with these LLMs. It also summarizes the key challenges and potential opportunities in this direction. This work can serve as a roadmap for future research in this area, highlighting potential avenues for exploration, and identifying gaps in our current understanding of the use of LLMs in software testing.Comment: 20 pages, 11 figure