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The traditional Chinese folk paper-cutting art has a long history. It is a traditional folk art form created by working people to satisfy their spiritual and material pursuits. It originates from life and returns to life. With the pace of the times, folk paper-cutting has undergone an innovative transformation and development through the interweaving, penetration and integration of contemporary design concepts. Through the combination of network big data, it provides a large number of references for modern graphic design decoration and function combination, graphic context inheritance, color language, modeling language, etc.

Sequences of random bits can be extracted from small areas of paper by probing its 3D structure. The same sequence can be obtained with a high probability even after repositioning the sample. Such a random fingerprint can be used for encryption. This property of paper for self-encryption can be used to secure information printed on the document. By combining self-encryption with some classical encryption methods could lead to a significant progress in the fight against counterfeiting because decryption is equivalent to proving originality of the paper document.

Pulp and paper products in the modern world are used in a variety of types and areas, due to which the issue of improving paper production technologies is relevant. The article presents the results of grinding fibrous semi-finished products using the knife method. A disc mill with an original knife set was used as the unit under study. For the most effective modes of grinding were selected to obtain raw materials with high quality indicators.

The paper explores factors affecting the Engaging Commitment of employees. Data used in the study was collected by CJ CGV Vietnam Company Limited in Ho Chi Minh City in 2021 through a survey of 160 employees. The research results of this paper use the optimal choice by the AIC algorithm for Engaging Commitment (ECO) showed that 02 independent variables Promotion opportunity (PO) and Team Work (TW) have a positive impact on Engaging Commitment (ECO). The impact level of these 2 variables on the dependent variable Engaging Commitment (ECO) in descending orders as follows: Team Work (0.4754), Promotion opportunity (0.1231). We also give conclusions for this paper based the research results.

The importance of cooking oil for human consumption makes cooking oil needs to be aware of its quality. This research aims to design electrooptic devices by making modifications to the analyzer. The results of the ink design are used to test the quality of cooking oil. The method used in this tool is based on the electrooptical properties of cooking oil. Because the optical properties or the polarization angle used as an indicator of the quality of cooking oil is relatively very small, it is necessary to modify the analyzer on the existing electrooptics to avoid parallax errors and increase the effectiveness in measurement. Modifications were made by adding a stepper motor as an actuator, gears that intersect with certain radius ratios, and an ATMega 328P microcontroller for data controller and processing. in the cooking oil quality test, it can be distinguished oil that has expired and is still suitable for consumption based on the average value of the change in the polarization angle.

Tahu is a popular culinary product in Malang town. This product is produced from soyabean and rich of protein. Besides, tahu is also rich of water, so that surface of tahu tends to polar. Colorization of tahu by extract of yellow and sweet potatoes is interesting because both sweet potatoes contains different polarity molecular dyes, i.e. polar anthocyanin in the purple sweet potato but non-polar beta carotene in the yellow sweet potato. In this paper, changing of tahu’s color after colorization by extract of both sweet potatoes was observed at different times of adsorption process (2, 4, 6 h), different compositions of the sweet potato and water (100g/1L and 300g/1L), and effect of palm oil addition (250 mL oil/1L water). Result of observation showed that the higher time of adsorption process, the higher ratio of the sweet potato weight and water volume, the darker color of the colorized tahu. Addition of the palm oil just improved extraction of β - carotene from the yellow sweet potato but did not improve the adsorption of the dyes on the tahu surface. Results of this study are used for supporting program of community service DPP SPP 2020 of Inorganic lecturers, as application of adsorption technology using tahu food as adsorbent and application of intermolecular force theory as part of Inorganic Chemistry I course.

The repeated use of cooking oil will cause the oil to be damaged by oxidation during the frying process. Thus, it is not good for health if it is continuously consumed. The purpose of this study was to determine the quality standard of cooking oil that was used repeatedly by testing the amount of peroxide, free fatty acids, and water content within the SNI 01-3741-2013 limits. The research was carried out 25 times of frying, at a temperature of 180°C, and a time of 7.5 minutes on red potatoes using a deep fryer. The result of the peroxide number test before frying was 5.24 mek O2/kg, and there was damage in the 11th frying pan with a value of 10.99 mek O2/kg. While the free fatty acids before frying are 0.16 mg KOH/g. and there was damage to the 19th pan, namely 0.64 mg KOH/g. the water content before frying is 0.14% b/b and the first cooking oil has met the SNI standard, namely 0.15% b/b. So it is known that the more frequent frying is done, the quality of cooking oil will decrease and will be carcinogenic.

Combined with the basic theoretical knowledge of Kansei Engineering and clothing materials, the perceptual cognition of consumers for different dyed fabrics was studied, and the perceptual evaluation of dyed fabrics of different materials was compared. SPSS software was used for statistical analysis of the survey data in order to find the characteristics of dyed cotton fabric. The perceptual evaluation results of plant dyed fabric and industrial dyed fabric were discussed. The relationship between the preferences of consumers towards plant dyed and industrial dyed cotton fabrics and the perceptual evaluation were analyzed through regression analysis.

The purpose of this study is to trace the metacognition of students in studying number theory based on behavioral learning theory approach. The steps of approach of behavioral learning theory consists of 5 phases, namely:(1) Cooperative selection as learning approach, (2) The Prepare the material of number theory on a particular topic in paper form, (3) Presentation of term paper by group member in front of class, (4) Responses of other group members to the material presentation of the designated group, and (5) Summarizing or asserting the material as well as positive reinforcement and negative reinforcement. While the student's metacognition review in studying the Theory of Numbers consists of 4 levels, namely: (1) tacit use, (2) aware use, (3) strategic use, and (4) reflective use. The subject of this research is the students of Mathematics Education Department who are studying the Theory of Numbers, consisting of 56 students. The results of this study show that in general the level of awareness of metacognition of students of Mathematics Education Department is at level 1 (tacit use), and a small part Level 4 (reflective use).

Soap is the product of saponification of fats with a base, which is used as a body cleanser, in the form of solid, foamy, with or addition of other ingredients and do not cause skin irritation. Clay (kaolin) is used as an active ingredient in cosmetics because of the high level of adsorption of substances such as oil, toxins, and others. The use of clay also been considered as a potential tanning agent in halal industrial applications. This study aimed to search for the effect of temperature reaction and addition of kaolin to the solid soap produced. The saponification reactions was carried out for 10 minutes in a reaction flask at a temperature that varied from 50ºC - 80ºC. The beginning stage was to heat the coconut oil to the reaction temperature and then mixed it with kaolin (10%, 12.5%, 15%, 17.5%, 20% wt.), followed by adding 35% NaOH. The reaction mixture was stirred at 250 rpm. The results of this study showed that all soap products met the Indonesia standard SNI.

This study aims to assess effectiveness of indirect solar dryer for drying red chilli. The quality parameters were moisture content and colour (L*,a*,b*) values. The results showed the maximum temperature on sunny hours of the day within drying box varied from 52.4°C to 62.6 °C on 3 days drying period with lower final moisture content and better colour of dried chilli powder using Indirect solar drying than dried in the open sun.

This research aimed to examine the distillation of patchouli oil using firewood (FW) and Liquefied Petroleum Gas (LPG) as fuel. The effects of yield, patchouli oil quality and cost analyses had been observed. The results showed that distillation of patchouli oil using FW obtained a higher yield than LPG. Physical-chemical properties test (color, specific gravity, refractive index and optical rotation) showed no significant difference of value and still met the requirements parameters in SNI 06-2385-2006. Meanwhile, chemical component analysis by GC-MS showed that the patchouli alcohol using FW and LPG has not met the requirement parameters in SNI. Cost analysis indicated that the distillation of patchouli oil using LPG was not profitable because of higher cost and lower yield than FW.

The target of increasing the use of renewable fuels is directly proportional to the increasing demand for biodiesel. High demand for biodiesel must be balanced with sufficient availability from producers. One of the factors that influence biodiesel conversion rate is the use of catalysts. The use of sodium teoxide (CH3ONa) catalyst in the manufacture of biodiesel can be applied in the process of biodiesel production using induction heating technology. This technology will accelerate the heating process needed in the transesterification reaction. Based on research that has been done, the use of a catalyst concentration of 1% will produce a yield of 86.95% with product quality in accordance with SNI such as density 0.858 gr/cm3, viscosity 5.727 cSt, flash point 190°C, and acid number 0.439 mg-KOH/gr.

Increased energy consumption in Indonesia encourages energy conservation in the field of renewable energy. One form of energy that has been increasingly developed is the use of biodiesel as vehicle fuel. The process of biodiesel production can be done by various methods, such as the use of induction technology as a heat supply media in the transesterification reaction. This induction technology uses a non-contact process that utilizes magnetic field radiation in the metal so that it will generate heat from inside the metal material. The raw material used in this research is waste cooking oil by varying the reaction temperature used. Based on research that has been done, obtained high yield results at the use of a temperature of 60 degree C for the use of used cooking oil is 86.95 percent and the biodiesel products obtained are by the applicable quality standards in Indonesia.

Sugar cane is a raw material for making sugar which can only be grown in tropical regions. Sugarcane bagasse generally consist of cellulose sugar groups such as hemicellulose, lignocellulose, and lignin. Other than that it contains hydroxyl groups to absorb colours and free fatty acids. The purpose of this study was to measure baggasse charcoal optimation based on different concentration and immersing time to stabilize cooking oil quality. CRD (Complete Randomized Design) was applied with 3x3 factors. Baggasse charcoal was activated using KMnO4 1N for 2 days. Variation of baggasse charcoal concentration are (5%, 10%, 15%) and variation time to optimation for 4, 5, and 6 days. The result showed that bagasse charcoal can affect the turbidity, smell, and colour from cooking oil that has been used repeatedly. The most effective concentration and immersing time is from sample 5% on 6 day. It can be concluded that re-used cooking oil applied with bagasse charcoal was clearer that those didn’t. The organoleptic assay also showed better profile on cooking oil.

Rice bran is rarely used as food substance as fresh rice bran immediately decreasing in quality after milling process. This quality degradation may be solved by various methods of stabilization to extend rice bran shelf life. This research aimed to study quality degradation of rice bran submitted to different stabilization procedures during storage periods. Randomized Complete Block Design arranged as factorial was used in this experiment and was replicated three times. The first factor was stabilization methods, comprises of five treatments, those were control (without stabilization); stabilization with oven on temperature 105 °C for one hour; stabilization by roasting on pan with temperature 105 °C for 12 minutes; stabilization with microwave oven with power of 800 watts for two minutes; and stabilization with autoclave temperature 121 °C for three minutes, followed by heating in oven temperature 121 °C for 15 minutes. The second factor was storage periods, those were 5 days; 50 days; and 100 days variables observed in this experiment were comprises of moisture; lipid; free fatty acid; and peroxide. Result of the research showed that stabilization affects moisture and lipid content of rice bran flour, the higher the moisture, the lower the lipid content. Stabilization decreased rice bran flour moisture and those resulted in lower degradation of lipid content during storage periods. Roasting on a pan and heating in microwave oven gave the lowest moisture. Moisture increased on 50 days storage and decreased on 100 days and those tent to affect FFA and peroxide in line with moisture.

Survei Sosial Ekonomi Nasional in 2015 stated that Indonesia ranks as the third country with the largest consumption of chicken meat per year (Badan Pusat Statistik, 2015). Ozone is able to effectively disinfect micropolutant (Loeb, et al., 2012) and Escherichia coli (Driedger, et al., 2001) in drinking water. The objectives of this study are to evaluate the performance of the ozone exposure time and water replacement in controlling the quality of chicken meat. Ozone generator used has production and number of solubility in water around 523,67mg/hr and 0,21mg/L. The variations evaluated in this study are ozone exposure time (40, 80, and 120 minutes) and the replacement of ozonated water (twice, thrice and no replacement). The evaluated parameters were Escherichia coli, total mesophyll hyll aerobic (TBMA), protein content, pH, and water content. On the seventh day storage at 120 minutes of ozone exposure time, it was able to disinfect Escherichia coli and TBMA as much as 1.700 and 9,4×108 CFU/g, while on the replacement water every 40 minutes 1,700 and 1,1×109 CFU/g more than blank. While the levels of protein, moisture content, and pH on the variation of exposure time and replacement of water respectively of 17,45%; 79,85%; 4,95 and 15,70%; 80,61%; 4,91.

One business opportunity in terms of increasing the economic value of nutmeg is the content of essential oils in nutmeg. The nutmeg oil producing area in Aceh province is centralized in South Aceh Region. Nutmeg oil has a distinctive aroma and high oil yield. The quality of nutmeg oil is determined by the content of myristicin which gives a distinctive aroma to nutmeg oil [1]. In terms of improving the quality of nutmeg oil, purification process are carried out with a rotary vacumm evaporator in order to isolate myristicin which is an active compound of nutmeg oil. The isolation process to purify nutmeg oil was carried out at an operating pressure of 300 mbar and temperature of 450 °C was increase myristicin content up to 53.41%. Test results of characteristics such as specific gravity, refractive index have meet the requirement of the Indonesian National Standard (SNI) 06-2388-2006.

Biodiesel is an alternative fuel produced by chemical reaction between vegetable oil or animal fat with alcohol and catalyst. The preliminary treatment in extraction of biodiesel feedstock is an important process to obtain maximum yield of crude oil. This study aims to find optimal preliminary treatment on extraction of Kemiri Sunan seed in order to produce crude oil with maximum yield and quality. The research investigated the effects of screw press machine rotation and duration of steaming process. Three levels of duration of steaming used were 30, 60 and 90 minutes. Observations of crude oil yield, moisture content, free fatty acid content, kinematic viscosity, density and color were done. The result suggested that the rotation of screw press machine affected the crude oil yield. The duration of steaming process affected the oil yield, free fatty acid content, kinematic viscosity, density and color. The best oil yield result of 70.3% was obtained from the combination of heating duration of 60’ and screw rotation of 25 RPM.

Nowdays, the use of cosmetics are increase. Soap is one of common cosmetics preparation used for body or face. Cosmetics soap must be safe and must not contain hazardous substances such as heavy metals. Heavy metals contained in cosmetics are generally impurities on cosmetic ingredients.Cosmetics soaps can be contaminated by heavy metals such as lead. This study intended to determine lead concentration commercial cosmetics soaps in Ciamis. Sample preparation was done by using the wet destruction using HNO3 : H2O2 (3:1). Lead was analyzed using Atomic Absorption Spectrophotometer (AAS) at the specific wavelength respectively 228,8. The results showed, just one sample that contain exceed levels of lead and 9 samples are meet the requirements.

This paper was retracted by IOP Publishing on 14 August 2020. IOP Publishing was notified of concerns regarding the quality of this paper on 30th June 2020. The IOP Publishing Research Integrity Panel immediately launched an investigation, and it was discovered that this paper was accepted for publication by the conference organisers despite serious objections by the reviewer. IOP Publishing agree with the reviewer's comments that this work is unscientific and unsuitable for publication. This is in violation of the IOP Publishing Proceedings Peer Review Policy and the contract signed by the conference organisers. IOP Publishing therefore retracts this paper based on breach of contract and compromised peer review process. Retraction published: 14 August 2020

This short paper is intended to highlight some of the research contributions of Tony Guttmann on the occasion of his sixtieth birthday.

This research was conducted in palm oil mill in Sumatra Utara Province, Indonesia. Currently, the main product of this mill is Crude Palm Oil (CPO) and hasn't met the expected standard quality. CPO is the raw material for many fat derivative products. The generally stipulated quality criteria are dirt count, free fatty acid, and moisture of CPO. The aim of this study is to obtain the optimal setting for factor's affect the quality of CPO. The optimal setting will result in an improvement of product's quality. In this research, Experimental Design with Taguchi Method is used. Steps of this method are identified influence factors, select the orthogonal array, processed data using ANOVA test and signal to noise ratio, and confirmed the research using Quality Loss Function. The result of this study using Taguchi Method is to suggest to set fruit maturity at 75.4-86.9%, digester temperature at 95°C and press at 21 Ampere to reduce quality deviation until 42.42%.

The production quality has an important impact retain the totality of characteristics of a product or service to pay attention to its capabilities to meet the needs that have been established. Quality criteria Palm Kernel Meal (PKM) set Factory kernel is as follows: oil content: max 8.50%, water content: max 12,00% and impurity content: max 4.00% While the average quality of the oil content of 8.94%, the water content of 5.51%, and 8.45% impurity content. To identify the defective product quality PKM produced, then used a method of analysis using Statistical Quality Control (SQC). PKM Plant Quality Kernel shows the oil content was 0.44% excess of a predetermined maximum value, and 4.50% impurity content. With excessive PKM content of oil and dirt cause disability content of production for oil, amounted to 854.6078 kg PKM and 8643.193 kg impurity content of PKM. Analysis of the results of cause and effect diagram and SQC, the factors that lead to poor quality of PKM is Ampere second press oil expeller and hours second press oil expeller.

Printing material and prints undergo changes during ageing which can be recognized in deterioration in the physical, chemical and optical properties. The aim of this work is to determine the optical changes of the prints caused by ageing of the printing material and of the prints obtained by the application of the indirect electrophotography. The change of the screen elements in lighter halftone areas, which was obtained by the usage of the microscopic image analysis, has been discussed in the article. For the preparation of samples the following papers were used: fine art paper, recycled paper and offset paper as well as black Electroink. Three sample series were observed: prints on nonaged paper and ElectroInk, prints on aged paper and ElectroInk and prints on aged paper and nonaged ElectroInk. The investigation results show that by ageing of the uncoated printing substrates the decrease of the dots on prints can be expected, while the printing on the aged paper results in the increased reproduction of the halftone dots. The obtained results are the contribution to the explanation of the influence of the accelerated ageing process of papers which are used for printing and the aged prints on the halftone dot changes. Except the mentioned determined scientific contribution the results are applicable in the area of the printing product quality as well as in the forensic science.

Any application consists of many components (bases, frameworks, loaders), and errors in the component settings are liable to lead to various consequences. Even the smallest component can compromise the overall security of the application. It is acceptable to work quite effectively with event logs if one comprehends their formation principle. That is what the paper is devoted to. The material in the paper will be valuable for both information security specialists and ordinary users.

This paper is based on the new theoretical system of physics in the 21st century published by the British Physical Society IOP Journal of physics in 2020. It is a challenge to some popular views of physics today! It negates the big bang theory, general relativity, epistemology of gravitational wave existence and epistemology of antimatter existence. It denies the research method of relying on the electron Collider to find the smallest particle in the material world! It is put forward that “the state of matter light” is the epistemology of the fifth physical state; stars are not composed of hydrogen and helium, nor are they nuclear reactions; the formation reason of Galactic System and the epistemology of cosmic unit. This paper is a summary and deduction of the new theoretical system of physics in the 21st century.

In this paper we investigate the construction of uniform asymptotics of solutions for the Klein-Gordon-Fock boundary value problem with meromorphic coefficients as t → ∞. The difficulty in solving these problems is due to the fact that infinity, as known, is an irregular singular point of such equations. In the case of holomorphic coefficients, the order of degeneracy will be at most two, and in the case of meromorphic coefficients it can be arbitrary, and it will depend on the order of the poles of the meromorphic coefficients. The main method for constructing asymptotics in the neighbourhood of an irregular singular point is the method of resurgent analysis, which is based on the Laplace-Borel integral transform. Using this method, in this paper, a uniform asymptotics of the problem under consideration is constructed in a neighborhood of infinity for arbitrary meromorphic (or holomorphic) coefficients.

So far, the research on Chinese historical costumes has stayed on the discussion of culture, shape, pattern and social background. There is a big gap in the research on the reproduction of historical costumes. In this paper the clothing characteristics of Qing Dynasty dragon robe pattern, craftsmanship, shape and structure are analyzed by referring the literature, with the purpose of realizing the digital virtual display of ancient traditional clothing, and it carries out a comparative analysis of clothing CAD pattern, 3D virtual fitting and replication of samples, which put forward the detailed problems and solutions in the traditional dragon robe virtual simulation process. The research shows that the three-dimensional virtual simulation model can accurately restore the fabric, pattern, color and structure of the dragon robe of the Qing Dynasty. Therefore, this paper provides a reliable patterns and simulation modeling method for the research about the dragon robe, which offer an innovative research method for inheritance of traditional Chinese clothing.

Contemporary students have developed a dependence on electronic devices and developed the habit of sitting with screens for a long time, which has led to a trend of gradual deterioration of health conditions, declining physical quality and rejuvenation of diseases. Therefore, in this paper, based on the interactive and experiential characteristics of intelligent somatic interactive devices with virtual reality technology, the intelligent somatic interactive device body is improved according to the functions of virtual reality device body shape and experience, based on the handling needs, experiential needs and functional needs, and the educational interactive device experience strategy is designed to meet individual needs for the student group, and through comparison experiments with two groups of students, it is concluded that The interactive device experience strategy proposed in this paper outperforms the comparison group in terms of learning interest, motor interest, psychological anxiety, and emotional communication, verifying the effectiveness of the interactive device experience strategy, thus promoting students' physical health and improving individual physical signs, and also providing reference and learning for researchers engaged in intelligent somatic interactive devices based on virtual reality technology, from form design to development ideas.

Friction stir spot welding is a new type of connection technology developed on the basis of the friction stir welding process. It uses a high-speed rotating stirring head to generate heat by friction with the plate to make the welding material reach a thermoplastic softened state, forming a lap joint similar to resistance spot welding. The purpose of this article is to analyze and analyze the current situation of numerical simulation of friction stir welding after deformation under big data analysis. Algorithm mining commonly used for analysis of big data. This paper proposes to use the classic algorithm FP-growth algorithm. The FP-growth algorithm has the widest application range. It compresses the transaction database into a FP tree for processing. It also uses the Apriori algorithm, which eliminates the need to generate candidate frequent itemsets, which improves the efficiency of use. In addition, this article uses data mining technology and data fusion technology commonly used in big data analysis, and their application strengthens the analysis of the current situation of numerical simulation after friction stir welding deformation under big data analysis. Experimental research shows that the dynamic FSSW technology used in this paper simulates the numerical change after friction stir welding deformation, and the simulated data effect is better than the traditional GPC algorithm by about 20%.

Many students are in poor physical condition now. Although students’ academic performance is very good, the school should also find ways to help them improve their physical quality. Therefore, physical education has become a hot topic in the field of education. Nowadays, physical education in many universities is irregular. They don’t have a complete teaching model of their own. This leads to students in physical education class can not learn professional knowledge. The improvement of students’ physical quality cannot be guaranteed by professional knowledge. In recent years, the application of multi-media technique in the field of teaching is a new breakthrough in education mode [1]. Researchers believe that the combination of multi-media technique and physical education will greatly improve the effect of physical education in universities. This paper briefly analyzes the current situation of physical education in universities. In this paper, the implementation of multi-media teaching mode in universities is described.

With the wide application of information multi technology in the exhibition industry, the exhibition industry in developed countries presents a trend of intelligent development as a whole. The characteristics of the intelligent development of exhibition industry in developed countries are mainly manifested in the informatization of exhibition enterprises, the virtualization of exhibition projects and the intellectualization of exhibition venues. However, there are many disadvantages in the development of exhibition industry. China must learn from the development path of exhibition industry in developed countries. This paper first analyzes the Enlightenment of the intelligent management mode of exhibition venues in developed countries to China. Then, this paper puts forward some questions. Finally, some suggestions are put forward.

At present, reading and writing are divided into two independent courses in English teaching at most universities. According to the views of many scholars at home and abroad, it is more efficient to learn a language through integration of input and output, which advocates the integrated teaching of English reading and writing. The purpose of this paper is to verify whether the integration of reading and writing is helpful to the improvement of college students' ability through comparative experiment and random sampling method, and put forward an integrated learning mode of online reading and writing based on data algorithm. The main content of this paper is to elaborate the current situation of mobile reading and mobile writing in the era of big data, and then extract two groups of college students with similar learning conditions from two universities for empirical analysis, to study the differences in students' performance through comparison in the traditional reading and writing teaching mode and the new mode of integration of reading and writing teaching, and finally put forward the application of clustering algorithm based on K-Modes under the background of big data English learning scoring system, so that students can learn independently and efficiently on the Internet. The experiment shows that the average score of students in the integration of reading and writing is generally higher than that in traditional teaching. Under the integration of reading and writing, the students' reading accuracy is as high as 90%, which is 10% higher than that in the traditional way, and the score of writing is 5 points higher than that in the traditional way.

Over the past year, the COVID-19 outbreak deeply and thoroughly changed the way the world is, and plenty of people died because of this virus. To control the epidemic, all the state governments in the United States took the mask mandates to ask people to wear masks in public. However, many people doubt if the mask can help them prevent the spread of the virus, and there are few researches about the effectiveness of the mask mandates in each state. To tackle this issue, this paper proposed an evaluating system for the effectiveness of mask mandate in each state in the U.S.A, which can be utilized to analyze whether mask mandates can slow down the spread of the virus. And if the effectiveness of mask mandates is different in different states, this paper will continue to find out which factor can most affect the effectiveness. The experimental results demonstrated that even though the new cases in some states still increased after the mask mandates, it can be seemed that the mask mandates do control the spread of the virus in general. According to the research, the paper can find that the most influential factor to the effectiveness is the infection rate. There are also some secondary factors to the effectiveness of mask mandates. Through these researches, they can analyze the result to develop more effective mandates to control the epidemic and help governments and companies develop new products to fit the needs during the epidemic.

Customer relationship management based on data mining helps to strengthen the cultivation of high-quality customers and improve customer loyalty and loyalty. China’s e-commerce industry market is becoming more and more prosperous, with the data volume increasing exponentially. Mining the purchasing behavior data of e-commerce industry customers has become a major way for major e-commerce platforms to increase sales volume. Traditional mining algorithms cannot meet the needs of big data analysis. According to different purposes, we will combine mining algorithm and cloud computing platform to mine the potential information of these data and provide beneficial guidance for enterprise operation. This paper starts with the impact of big data on rural e-commerce customers. At the same time, this paper analyzes the current situation of rural e-commerce and proposes the design of rural e-commerce system based on data mining [1].

Aquatic products are favored by people because of its high quality protein, low fat content, balanced nutrients and delicious taste. However, aquatic products have a high demand for freshness, which is very hard to keep fresh and greatly increases the difficulty of circulation and easily destroys its appearance, odor shape, nutritional value and market economic value. The transportation of products, that is, logistics, has become an important means to provide fresh-keeping products and ensure that nutrition does not lose. Therefore, this paper will analyze this topic. This paper first analyzes the development status of China’s cold chain logistics and the impact of the emergence of new kinetic energy on logistics, and then analyzes the specific development measures, development strategies and development routes of cold chain logistics, so as to help China’s cold chain logistics find the right development direction.

In the transmission system, the operating state of the line insulator is always a state quantity with both fuzziness and randomness. Fuzzy logic theory has certain advantages for evaluating such a system with both fuzziness and randomness. According to the theory of fuzzy logic in the field of insulator state evaluation development situation, this paper introduces four methods - weights fuzzy logic method, the multistage fuzzy logic judgment, variable weight fuzzy logic judgment and cloud theory. The paper also analyses the characteristics and advantages of four methods, the results show that the cloud theory and variable weight fuzzy logic method more engineering significance.

The First International Conference on Advances in Computational Science and Engineering (ICACSE 2020) on December 25 & 26th, 2020 which is planned to be held at Coimbatore, India. As the covid-19 pandemic spreads endless, according to the direction received from the government and suggestions received from some participants, the organizing committee decided to convert ICACSE 2020 into a fully virtual mode conference. ICACSE 2020 conference was organized by the Live4Research Institute of Research and Development, India. The main objective of the conference is to provide a platform for researchers, professors, and engineers to share their contributions to recent trends and developments in Engineering and Sciences. The scientific event brings together more than 300 researchers. Initially, the conference structure was divided into oral presentations and keynote speeches. In the oral presentations, some scholars' papers were selected as excellent papers, were given about 5-10 minutes to present their oral presentations one by one. Then the keynote speakers were each allocated 30-45 minutes for their plenary talks. We have received tremendous response from all over India and overseas (Malaysia, Oman, Ethiopia, Peru, Columbia, USA). Through a rigorous peer-review process, all submissions were performed double blind review to check their quality of content, level of innovation, significance, originality, and readability. Based on the expertise review comments, only 295 papers were accepted, and the corresponding authors were invited to submit their papers for final publication. The accepted papers are published by IOP Conference Series “Journal of Physics: Conference Series (JPCS)”. The conference proceeding is a compilation of the accepted papers and represents an interesting outcome of the conference. This proceeding covers six chapters: 1. Advances in Computational Mathematical Sciences 2. Advances in Computational Physics and Material Sciences 3. Advances in Computer Science Engineering 4. Advances in Computational Electrical Engineering 5. Advances in Computational Electronics and Communication Engineering 6. Advances in Computational Civil Engineering we would like to thank the keynote speakers, authors, and listeners for their excellent contributions. We wish to extend our sincere gratitude to the organizing committee, reviewers, and volunteers for their constant support. We greatly acknowledge our technical partner Cloudin Software Tech Labs Pvt. Ltd, Coimbatore, India for their effort in publicity and promotion of the conference. We greatly acknowledge all of those who supported ICACSE 2020. The support and contribution of each individual and institution were the backbones of the conference. In specific, we would like to extend our privilege to thank the organizing committee for its valuable inputs in steering the conference program to attain a grand success and reviewing the submitted papers. List of COMMITTEE and logos are available in this pdf.

At present, the traditional teaching methods rely on paper teaching and specific physical equipment, which is a lack of immersion. Moreover, it is experimentally costly and the teaching effect is not good. Therefore, this paper proposes a Web 3D virtual simulation teaching system for automobile engine based on case teaching method. The system mainly includes three modules: account management, 3D virtual simulation teaching based on typical cases and document reading. Unity3D software and database technology are used to build a realistic virtual experiment scene, so that students can simulate interactive experiments online and master learning skills to achieve teaching objectives. The experimental results show that the 3D virtual simulation teaching system proposed in this paper can realize online simulation of specific interactive experiments of disassembly and assembly for automobile engine. In addition, students can learn independently, so as to achieve the purpose of immersive learning, improve teaching efficiency and reduce costs. Most importantly, it can avoid teachers and students from being hurt in the actual experiment and provide a new way for teaching.

As the core of logistics system, distribution center is not only beneficial to the construction of modern logistics environment, but also to the realization of the overall benefits of logistics system. In order to improve the operation efficiency and have no limitations, we need to design the distribution center as a whole. In this paper, the system layout planning (SLP) combined with genetic algorithm is used to optimize the distribution center. In the use of system layout planning to get the comprehensive relationship between the functional areas, combined with the relevant constraints, build the objective function model, using MATLAB to run the genetic algorithm. The feasibility and rationality of the model are verified by an example. In this paper, the distribution center function area layout problem is regarded as a mathematical optimization problem, and the application of genetic algorithm in the model improves the quantifiable accuracy.

This article proposes an automatic grammatical correction method for typos and word order errors that may occur in Chinese writing by beginners. The thesis first constructs heuristic rules and expands the corpus by analyzing the characteristics of different grammatical error types in the data set. Secondly, when the paper uses classification methods to detect grammatical errors, it extracts sentence-level binary and ternary part-of-speech combinations, n-gram models based on part-of-speech statistics and other three types of features to construct single classification and ensemble classification models, and then use convolutional neural the network constructs classification models from different angles. Finally, when the paper adopts the method based on sequence labeling for grammatical error detection, it mainly uses dependency syntax tree features, and realizes grammatical error detection by constructing a conditional random field model. This method can automatically detect grammatical errors while also identifying the sentence the location of the error. On this basis, the paper implements a simple Chinese grammatical error automatic detection system, which can provide help for the optimization of questions and answers in the question-and-answer system

Alfalfa is known as “the king of forage”. It not only has high yield, but also has good quality. Studying the development process of alfalfa will help scholars in this field grasp the future research direction. In this paper, the data of alfalfa field from 2009 to August 14, 2020 retrieved on Web of Science is taken as the research object. Firstly, this paper analyses the current research status by using basic statistical methods. The selected analysis dimensions include time, country, funding source etc. Then, we conduct topic clustering research based on Latent Dirichlet Allocation (LDA) model and the scientometrics method to compare and analyze its interests from both the overall and time perspectives. Finally, the experimental results are presented in diagrams. The results reveal that the development of alfalfa field tends to be stable. China and the United States have made remarkable achievements in the field of alfalfa. The topics integration and decomposition trend is weak, and the research content has strong coherence.

This paper uses CiteSpace software to conduct text mining and visual analysis of 744 academic papers related to funding forecasts in the CNKI database in the past 20 years, sort out the literature time, journals, authors, and institutions of funding forecasts, and use keywords co-occurrence and subject terms Clustering and other methods reveal the current research status and evolutionary laws of funding forecasting, hoping to provide reference and reference for the selection of other types of funding forecasting methods.

Quantum Immortality usually refers to, in a classical sense, a person who is “lucky” enough to survive in any incident in the world. Such a quantity of luckiness is even big enough to keep that person away from the aging of the human body. That is, in fact, when we say that one becomes “immortal”. Throughout the history of the world, there have been many times when people tried to find out the secret of anti-aging, but this ambitious dream, obviously, has failed every time. This paper will discuss quantum immortality in theoretical and mathematical aspects and evaluate its authority, or possibility, of its existence in real life. In order to accomplish this evaluation, the concepts of the main two interpretations of quantum physics: 1)Copenhagen Interpretation(or non-MWI interpretation), and 2)Many Worlds Interpretation(or MWI)will be necessarily involved. Throughout this paper, the MWI is proven to support the theoretical quantum immortal state, which, in this paper, means to achieve an expected theoretical outcome in the Everett box experiment. In order to show how MWI will give its credit to quantum immortality, the idea of the Infinite Monkey experiment is demonstrated in detail. After that, discussions of the computable probability of the outcome of the Infinite Monkey theorem and its pathological distribution are involved. Regardless of the situation in the Everett box, whether it is pathologically distributed or not, the mathematical outcomes show that MWI will be the only possibility of achieving the quantum immortal state during the Everett box experiment, or quantum gun experiment. Finally, the paper brings out the evaluation of quantum immortality in a real life stance.

Research on scientific creativity as a domain-specific creativity has begun to develop. A literature review on scientific creativity has been carried out using identification, screening, eligibility, and inclusion procedures, with paper sources from the IJSE, DOAJ, ERIC, IOP Science, ScienceDirect, and Springer Link websites, in the 2001-2019 period. There were 49 papers on scientific creativity that were published in that period. The results of this study indicate that the scientific creativity test developed by Hu and Adey is the beginning of increasing scientific creativity research as a domain-specific creativity. Therefore, a further review of Hu and Adey’s test needs to be done in order to reveal the characteristics and development of the test. To achieve this goal, 49 papers were scanned with the keyword “Hu and Adey”, and finally 26 papers were obtained. The results of this further review show that Hu and Adey’s test has the following characteristics: using a classical approach (creativity is divergent thinking); using domain of science, covering the three dimensions (product, trait, and process); using the essay test format; and promoting more objective scoring. Hu and Adey’s scientific creativity test has been referenced, applied and developed by several researchers. The benefit of this literature review is to show the advantages of the scientific creativity test required to measure one of the twenty-first century skills.

Real-time object detection is the core technology in the perception of unmanned driving. In this paper, a real-time object detection method based on YOLOv4 for unmanned driving is proposed. In the practice of unmanned driving, the illumination and large-scale change effect the visual perception of unmanned vehicles. To overcome the influence of different illumination and scale change in real scenes, we enhance the scale, illumination and other aspects of the images in the training set and the test set, and fuse with the original data. The training set and the test set in this paper use the actual road driving images taken by road traffic monitor. By these ways, more competitive vehicle automatic detection results than the original yolov4 model has been achieved.