Application of visual elements in product paper packaging design: An example of the “squirrel” pattern

For product packaging, the visual elements in it can further enhance the appeal of the package to customers. This article briefly introduces visual elements and packaging design and made an example analysis with the gift packaging design of Squirrel Design Studio. In the case study, the packaging design of the studio’s mirror, storage bag, and puzzle was rated by hierarchical analysis and questionnaires, and the packaging design was analyzed based on the rating results. A convolutional neural network (CNN) was also used to evaluate packages in batches. The results showed that the CNN could make a batch evaluation of gift packaging design accurately; the three gift packaging designs were based on the studio’s logo, making the ratings similar; in addition, the packaging design patterns were composed of different geometric shapes to show the studio’s innovative design theme, and the squirrel silhouette and text description were used to strengthen the impression of the studio among customers.

Bridging the Gap in Learning Differences Among Biology Students Using 4 Mode Application Techniques

This study is on bridging the gap in learning differences among biology students using 4MAT Application Techniques. We carried out the study in Abakaliki, Nigeria. We adopted a quasi-experimental design for the study. We used 138 SS-II students from two schools. Two hypotheses were tested. We analyzed the data using descriptive statistics and Hierarchical Analysis of covariance (ANCOVA). The results showed that there was a significant main effect of instructional method on students' achievement in biology F (7, 121) = 12.654, p =.000, partial η2 =.39; there was no significant main effect of gender on students' achievement in biology F (1, 121) = 1.240, p =.268, partial η2 =.004. We highlighted the educational implications of the findings and the recommendations. We also made some limitations of the study and suggestions for further studies.

Who Ordered That? Unequal-mass Binary Black Hole Mergers Have Larger Effective Spins

Hierarchical analysis of binary black hole (BBH) detections by the Advanced LIGO and Virgo detectors has offered an increasingly clear picture of their mass, spin, and redshift distributions. Fully understanding the formation and evolution of BBH mergers will require not just the characterization of these marginal distributions, but the discovery of any correlations that exist between the properties of BBHs. Here, we hierarchically analyze the ensemble of BBHs discovered by LIGO and Virgo with a model that allows for intrinsic correlations between their mass ratios q and effective inspiral spins χ eff. At 98.7% credibility, we find that the mean of the χ eff distribution varies as a function of q, such that more unequa-mass BBHs exhibit systematically larger χ eff. We find a Bayesian odds ratio of 10.5 in favor of a model that allows for such a correlation over one that does not. Finally, we use simulated signals to verify that our results are robust against degeneracies in the measurements of q and χ eff for individual events. While many proposed astrophysical formation channels predict some degree correlation between spins and mass ratio, these predicted correlations typically act in an opposite sense to the trend we observationally identify in the data.

Application of Fuzzy Analytic Hierarchy Process and Three-Dimensional Terrain Model in Traffic Routes Selection

The selection of a road route plan is an essential preliminary task. The choice of the route greatly influences its function, role in the road network, economic development of the areas along the route, and the return on investment. In this paper, qualitative analysis and evaluation of the details of the proposed route options in terms of ecological environment and engineering economy are carried out through fuzzy hierarchical analysis, based on the route data from Bushang to Bizhou, to combine the principles of the routes and develop several route options. Among the pre-determined route options, screening and comparison are carried out, and Option II is proposed as the recommended route.

Industrial Activity Land Suitability Assessment Using Delphi and AHP to Control Land Consumption¨: The Case Study of Bordj Bouarreridj, Algeria

Studies and research on land suitability for the localization of economic and industrial activities in cities are attracting academics and local policies concerned with urban planning and organization in order to make urban areas more accommodating. The current paper aims to demonstrate the ability of visualization and simulation techniques to assist planners in preserving urban real estate by combining the Delphi method with one of the multi-criteria hierarchical analysis decision-making techniques. The city of Bordj Bouarreridj in Algeria was chosen as the case study and, with the participation of experts, a set of criteria were adopted to determine land suitability. Three criteria were selected in the first phase with the use of the Delphi method. In the second phase, we applied the Analytical Hierarchy Process (AH, a hierarchical analysis method. During the third stage, the obtained results were translated into the GIS program to derive the spatial suitability map. The following are among the most important achieved results: 13.38% (521.793 km2) of the area was regarded to be of high suitability, 67.54% (2,634.758 km2), achieved moderate suitability, 12.94% (504,794 km2) attained low suitability, and 6.14% (239,685 km2) were found to be not suitable at all.

Prediction And Potential Detection of Land Subsidence By Integrating AHP And Programming Methods: Case Study of South Eastern Iran

One of the biggest risks that need to be considered before any construction operation such as road construction or construction is to determine the exact location of subsidence and predict the places with the potential to cause these complications.There are various methods for identifying and predicting the occurrence of these phenomena. In this article, hierarchical analysis methods (AHP and FAHP) and programming in MATLAB environment with the help of Evalfis function to study and map these hazards in the southwest of Iran has acted as a case study.Studies of lithological layers, slope, distance from fault and distance from waterway in both methods express very good and significant results in predicting this type of hazards.According to these results, the most hazards occur in places that have evaporitic lithology and have the shortest distance from waterways and faults with a slope between 20 to 70 degrees.The output of these studies is to provide a map of subsidence (sinkhole) hazards for the first time by integrating the stated methods with operational accuracy above 90% and introducing a very useful software in MATLAB program for experts.