ANALISIS KINERJA UMKM SKALA LOKAL

Currently, MSMEs continue to make improvements so that their productivity continues to increase. From year to year there are no Micro Enterprises that are able to advance to class. The low performance and productivity of MSMEs, especially Micro Enterprises, is certainly caused by several things. This will be described in this paper. carried out on MSMEs assisted by the Nurjalin Cilacap Foundation, totaling 16 MSMEs and spread in 4 provinces throughout Indonesia. The method used for sampling is the purposive random sampling method, where the sampling is random, but there are certain limiting criteria related to the suitability of the research objectives and is only limited to MSMEs assisted by the Nurjalin Cilacap Foundation. The number of samples taken entirely from the existing population or known as saturated sampling technique. The conclusion of this study is that the Individual Characteristic variable has a positive and significant effect on Performance and the External Factor variable has a negative and significant effect on Performance.

Experimental Investigation of Water-Rich Fully Weathered Granite on Water Bursting and Mud Bursting

In order to investigate the mechanism of water-rich and fully weathered granite on the water bursting and mud bursting, the single-factor variable method is adopted in this study. The particle size gradation, initial porosity, water pressure, confining pressure, and anti-outburst thickness are chosen to determine each factor on the evolution of sand gushing, porosity, permeability, fine particle concentration, and water gushing velocity. Results indicate that a particle loss is the most critical reason for the water bursting and mud bursting of water-rich and fully weathered granite. The transition of water bursting from the linear to the nonlinear stage is the most significant feature. Soil particles with a larger Talbol power index are more likely to lead to water bursting. In addition, there is a critical water pressure to control the occurrence of water bursting and mud bursting. It is found that when the confining pressure reached the soil yield strength, the evolution of water bursting and mud bursting is independent of the increase in confining pressure. The increase in anti-outburst thickness can also effectively limit the risk of water bursting and mud bursting.

Estimation of marginal effects for models with alternative variable transformations

margins is a powerful postestimation command that allows the estimation of marginal effects for official and community-contributed commands, with well-defined predicted outcomes (see predict). While the use of factor-variable notation allows one to easily estimate marginal effects when interactions and polynomials are used, estimation of marginal effects when other types of transformations such as splines, logs, or fractional polynomials are used remains a challenge. In this article, I describe how margins‘s capabilities can be extended to analyze other variable transformations using the command f_able.

Research on Management Conflict Matrix of Cross-border E-commerce Logistics Based on TRIZ Model

Cross-border E-commerce and international logistics are national key projects. International logistics is more important as Cross-border E-commerce becomes the main form of international trade. Based on the features of Cross-border E-commerce logistics, this paper selects Guangdong, where developing factors of Cross-border E-commerce industry and international logistics industry are relatively complete, as the representative research site. Questionnaires are distributed to 503 researchers from Cross-border E-commerce companies and universities in Guangdong province. Researchers use SPSS to analyze the reliability and validity of the data, and adopt the TRIZ theory to construct a logistics conflict matrix. The positive factor is inversely proportional to the negative factor variable. On the one hand, the ideal state of logistics weakens as the negative factor of logistics increases; on the other hand, the ideal state of logistics strengthens as the positive factor of logistics increases.

Effects of different smoking materials and methods on the quality of Chinese traditional bacon (larou)

Larou is a traditional smoked meat product in China. In this experiment, larou was processed with different smoking materials and methods evaluating whether the control of processing methods could balance the quality of larou and the content of carcinogens. Pork bellies were marinated, dried and divided into four groups then directly smoked by four different smoking materials for 40 minutes. The best index smoking material would be brought into the indirect smoking device for larou single-factor variable indirect smoking with nano-activated carbon fiber. Results showed that the specific surface area of the nano-activated carbon fiber was 978.00 m 2 /g, and such fiber could effectively adsorb the smoking ash particles. In pomelo skins group (PS), the highest phenols content and variety were found as 4.48% and 11, which increased the smoking flavor most significantly. The moisture, SA, LAB, Y&M values were 32.64%, 0.98 log 10 CFU/g, 1.10 log 10 CFU/g, 0.59 log 10 CFU/g, which could best inhibit harmful bacteria and benefit microbial environment for larou fermentation maturity. The benzo[a]pyrene (B[a]P) content of indirect smoking device (IN) by PS was 1.82 μg/kg, whereas the B[a]P content of direct smoking by PS was 36.1 μg/kg, which indicated a significant difference ( p < 0.01). These findings suggested that pomelo skins with indirect smoking device of larou could effectively maintain the inspection indexes and reduce the content of B[a]P. The control of this processing method can be used for the actual production of meat.

Experimental Study of Blast-Induced Vibration Characteristics Based on the Delay-Time Errors of Detonator

The delay-time of detonators in hole-by-hole blasting is generally calculated accurately considering they have great influence on the blasting effect, such as blasting vibration and blasting slungshot. The high-precision nonel detonator and digital electronic detonator are been commonly used because of their accuracy of delay-time. However, each detonator has an allowable error range of delay-time due to the difference in manufacturing process. In the initiation network, the errors of delay-time often accumulate gradually as the number of detonators increases. Therefore, theoretical delay-time and actual delay-time with error in the detonating network were discussed based on the delay-time errors of detonators. The single-factor variable method was used to carry out the comparative test in deep hole blasting. The results showed that the particle peak vibration velocity (PPV) was 13.1783 cm/s and 3.4856 cm/s with a drop of 73.55% in comparison with a nonel detonator and digital electronic detonator, which proved that hole-by-hole blasting in the high-precision nonel detonator network was not achieved due to the delay error of detonators. Furthermore, the location distribution map of holes where the same section of detonators might occur was obtained. Finally, the probability of blasting in the same section changes with the number of blast holes was discovered by theoretical analysis, which provided a basis for accurate hole-by-hole blasting.

Arbitrage Pricing Model Based on Factor Analysis-Random Forest Regression and its application

Firstly, this paper establishes K-factor linear model and arbitrage pricing model (ATP) according to ‘the Asset Pricing Model-Arbitrage Pricing Theory’, Then from 2001 to 2017, the Statistical Yearbook of the National Bureau of Statistics collected 10 factors as the original factors such as gross national product, gross industrial product and gross tertiary industry product. After synthesis and simplification, three common factors are extracted to replace ten original factors.The first common factor variable is used to reflect the overall economic level of the country;The second common factor variable reflects a country's inflation rate;The third public factor variable reflects the total annual net export trade situation of the country. After the common factor is determined, the value of the common factor is calculated from the original data.Collect the annual return of 10 stocks for 17 years and do twice random forest regression,we get the arbitrage pricing model. Then, based on the same common factor data, another arbitrage pricing model is obtained by imitating the linear regression method of previous similar papers. By comparing the pricing error, we can find the pricing effect of the model obtained by random forest regression is better than that of the model obtained by linear regression.

Obtención y Evaluación de Destilados a partir de Mostos Fermentados de Higos (Ficus carica L) Secos y Rehidratados de Tacna

Este trabajo tuvo como finalidad la evaluación organoléptica con base en escala hedónica de tres destilados obtenidos a partir de higos (Ficus carica L.) deshidratados de la variedad Black mission, teniendo como factor variable la proporción de fruta: agua (D1-1:3, D2-1:4 y D3-1:5) mientras que, las variables fijas fueron el tiempo de rehidratación y maceración. La fermentación fue llevada a cabo en tres etapas consecutivas, siendo éstas de 3,5 y 10 días. El contenido de sólidos solubles; azúcares reductores, acidez total, grado alcohólico y rendimiento del vino base fueron de 30, 20, 8.32, 22.6, 69.1% para D1, 21.5, 8.2, 7.1, 24.1, 64.9% para D2 y 17, 5.7, 6.2, 24.4, 67.12% para D3 respectivamente. Las muestras, fueron destiladas obteniéndose contenidos alcohólicos de 38% (D1), 40% (D2) y 40.5% (D3) (v/v), asimismo la acidez total presentó valores de 17.7, 9.8 y 10.4 mg/L. respectivamente. Finalmente, se evaluaron los tres destilados con un panel de jurados semi entrenados resultando con mayor preferencia la muestra D3 (7.68 puntos. - bueno), mientras que las muestras D1 y D2 fueron calificadas como regulares (6.68 y 6.37).

Speaking Stata: How best to generate indicator or dummy variables

Indicator or dummy variables record whether some condition is true or false in each observation by a value of 1 or 0. Values may also be missing if truth or falsity is not known, and that fact should be flagged. Such indicators may be created on the fly by using factor-variable notation. tabulate also offers one method for automating the generation of indicators. In this column, we discuss in detail how otherwise to best generate such variables directly, with comments here and there on what not to do.