Port Capability Evaluation from the Perspective of Supply Chain

Today’s ports have become an important node in the global supply chain. It is particularly important to make a scientific assessment of the comprehensive capabilities of the port and to provide a reference for the long-term development of the port. From the perspective of the supply chain, this article first selects the evaluation indicators that affect the port’s capabilities from four aspects of port resource ownership, control management, comprehensive services, and innovation-driven aspect. Secondly, we use the expert scoring method to judge the importance of the evaluation indicators and build a scientific and independent port capacity evaluation system from the perspective of the supply chain. Then, this paper uses the analytic hierarchy process to determine the weight coefficients of each evaluation index and uses the gray cluster analysis method of the triangular whitening weight function based on the center point to establish a qualitative and quantitative port capacity evaluation model from the perspective of the supply chain. Finally, we take a port in Northeast Asia as an example to conduct an empirical analysis to verify the feasibility of the port capacity evaluation system and model from the perspective of the supply chain constructed in this paper. The research results of this article can well analyze the port’s resource ownership, control and management capabilities, comprehensive service capabilities, and innovation-driven capabilities and provide a practical and effective theoretical basis for the port’s key development directions.

Extending Evaluation Capacity Building Theory to Improvement Science Networks

Evaluation practices are continuing to evolve, particularly in those areas related to formative, participatory, and improvement approaches. Improvement science is one of the evaluative practices. Its strength is that it seeks to embrace stakeholders’ and frontline workers’ knowledge and experience, who are often tasked with leading improvement activities in their organizations. However, very little guidance exists on how to develop crucial improvement capacity. Evaluation capacity building literature has the potential to fill this gap. This multiple methods case study follows a networked improvement community’s first year in a public education setting as network leaders sought to build capacity by incorporating Preskill and Boyle’s multidisciplinary model as its guiding framework. The purpose of this study was to better understand how to build improvement science capacity, along with what facilitates implementation and beneficial learnings. This article ends by reconceptualizing and extending Preskill and Boyle’s model to improvement science networks.

The Physical Health Evaluation of Adolescent Students Based on Big Data

Globally, it is widely accepted that the physical health of the young generation is continuously declining which remained unnoticed in many countries including China. Therefore, it is very important to scientifically investigate the evaluation index system and effectively interrogate the current health position of the young generation especially students. The results regarding health issues will be further investigated in terms of finding the optimal solutions for improving the status quo. Considering adolescent physical health evaluation indicators of Chinese students, this paper introduces the new era of adolescent physical health evaluation which should focus on “health quality indicators” for analyzing the objectivity and applicability of the indicators through testing and research methods. The method of simulation experiment research is used to demonstrate the scientificity and validity of the index. The optimization of the physical health evaluation indicators of adolescent students helps in assessing the health quality of adolescents, scientifically and accurately. In addition, it can effectively improve the physical health problems faced by adolescents. The proposed model achieves the evaluation indicators of adolescent health quality, collects physical health information and exercise data of adolescent students in a certain area of the northwest through big data, and conducts research as the research object. Furthermore, through the collation and analysis of the correlation data of the aerobic capacity evaluation indicators, the results show that the mid-run test value currently used in China is negatively correlated with the relative value of the measured maximum oxygen uptake on the treadmill.

Finite Element Model-Based Weight-Over Process Philosophy for Bridge Loading Capacity Evaluation and Rating Factor Estimation

Existing rating methods estimate bridge loading capacity and demand from secondary actions due to live loads in the primary structural components. In these methods, uniaxial yielding stress is traditionally used to detect component capacity using either stress quantities or shear-moment actions to compute the capacity demand of the bridge. These approximations can lead to uncertainties in load capacity estimation. This article presents the weight-over process (WOP), a novel computer-aided approach to bridge loading capacity evaluation based on tonnage and rating factor estimation. WOP is expected to capture different forms of failure in a more general manner than existing methods. In WOP, a bridge finite element model (FEM) is discretized into many sections and element sets, each containing a single material type, and each assigned a suitable 3D failure criterion. Then, factored gross vehicle weights (GVWs) are incrementally imposed on the bridge FEM with those predefined ultimate unfavored loading scenarios in a manner similar to proof load testing. WOP code runs nonlinear analysis at each increment until a stopping criterion is met. Two representative bridges were selected to confirm WOP’s feasibility and efficacy. The results showed that WOP-predicted values at the interior girders were between those of the conventional AASHTO and the nondestructive testing (NDT) strain measurement methods. That may put WOP in a favorable zone as a new method that is less conservative than AASHTO but more conservative than real NDT testing.

Metal storage capacity evaluation of humic and himatomelanic acids hydroxymethyl derivatives obtained from brown coal

Humic substances represent the most extensive and reactive class of natural compounds. A more nature-saving way is to obtain humus substances from solid combustible minerals and waste from their processing. The ability of these compounds to form stable complexes with heavy metals, which increases with their directed chemical modification, has been experimentally confirmed. The effectiveness of the phenol-formaldehyde condensation method for the modification of initial humus substances has been confirmed. The interaction of humic and himatomelanic acids with formaldehyde leads to an increase in sorption activity in comparison with the initial humic acids with respect to heavy metals. This aspect has been studied and confirmed in model experiments with copper ions. Key words: humic substances, brown coal, humic and himatomelanic acids, directed chemical modification, hydroxymethyl (methyl) derivatives, heavy metals, copper ions, complex formation.

Analysis and Prediction of Land Resources’ Carrying Capacity in 31 Provinces of China from 2008 to 2016

The rapid development of urbanization, population growth, and unreasonable use of land resources have made the contradiction between human beings and land increasingly prominent, and the carrying capacity of land resources has become an important factor affecting the sustainable development of a city or even a country. Based on the carrying capacity of agricultural land, construction land, and ecological land in 31 provinces of China, this paper analyzed the spatiotemporal characteristics of the carrying capacity of land resources in 31 provinces of China from 2008 to 2016 by using single-factor carrying capacity evaluation and comprehensive carrying capacity evaluation methods. The evaluation results were divided into six levels (No pressure, Lower pressure, Low pressure, Medium pressure, High pressure, Higher pressure), and the ArcGIS10.2 software was used for visualization, and the carrying capacity prediction model was constructed to predict the development trend of the comprehensive carrying capacity of land resources in 2020 and 2025. The results showed that China’s land carrying capacity is extremely unbalanced. Whether from the evaluation results of single-factor carrying capacity or comprehensive carrying capacity, we showed the characteristics of high pressure in the east and low pressure in the west, and that the regional land resources have a deteriorating trend. Through the prediction of the future land resource carrying capacity index, it was found that the comprehensive carrying capacity index of land resources in 31 provinces of China will still show an upward trend in the future.