Evaluation Model for Particulate Matter Emissions in Korean Construction Sites

Particulate matter (PM) has caused serious environmental issues in Asia, and various policies for systematic management of PM based on evaluation of the characteristics of emissions are being discussed. In Korea, where the damage of PM from construction sites is severe, only regulatory policies according to the concentration are being implemented; however, there is no policy for the quantitative management of PM. Therefore, this study aimed to derive and propose an emission evaluation model to be used for the establishment of management policies for construction site PM emissions in South Korea by assuming structures as manufactured products. Therefore, this study derived a method of calculating the PM10, PM2.5, NOx, SOx, and VOCs emission factors for each type of equipment in construction sites and then estimated annual total emissions. In addition, this paper put forth a method for offsetting emission permission standards as the criteria for evaluating the adequacy of the estimated emissions. Finally, a model algorithm was proposed for evaluating emissions in advance during the construction planning phase by comparing the PM10, PM2.5, NOx, SOx, and VOCs emissions in construction sites with established standards; the supplementary point of the algorithm is discussed for further studies.

Towards an Eco-decolonial Museology: A critical realist analysis of the crises of South African museums

South African museums face multivalent, simultaneous crises. The MELD dialectical framework of critical realist philosophy can be used to explore potential for a deep reimagining of museum theory and practice that may generate a new, relational mode better able than persistent dualist modes to respond to complex, emergent crises. This has been conceived by the author (Jeffery, 2021) as an ecological-decolonial, or eco-decolonial, mode of museology, and is further developed in the present analysis. At 1M, the MELD analysis surfaces the implicit neoliberal ontology of South African museum work and the emergent paradox of ‘emancipatory neoliberalism’. This paradox is generative of a number of constraints on practice and agency, including commodification of heritage, a restrictive form of official memory, and quantitative management practice. These limit potential for museums to respond to complex crises that require relational capabilities. 2E explores the potential negation of these constraints. To disrupt the principle of collection as the grounding ontological activity of museum practice may disrupt the implicit neoliberal ontology. This may contribute to emergent, sophisticated socialecological trends in museum practice, both in South Africa and internationally. At 3L, a dialectical view on the concept of cultural landscape offers a relational frame for an eco-decolonial museum practice that may better respond to the crises faced by museums. The practical implications of the eco-decolonial approach are considered at 4D. Keywords: museum practice, critical realism, ontology, eco-decolonial, collection, cultural landscape

How subjective information with AI for digital revolution

This paper summarizes the relationship of subjective information with artificial intelligence (AI) technology and points out how the role of subjective information and its position in AI. Eventually, the characteristic of digital era is the “softening of the theories and hardening of the experiences”. Subjective information is widely used in digital revolution for transforming the qualitative estimations into quasi-quantitative solutions, such as the empirical methods in decision making for quantitative management, etc., it will be the transferor for realizing it. The theoretical formulation of how subjective information is digitized through “Fuzzy-AI Model” for digital revolution is presented in this paper; it has becoming a universal problem solver of utilizing AI technology for quantizing the degree uncertainties in decision-making and fuzzy estimation. Besides, the “Big Data” searching will heavily depend on the completeness of its source information, yet “subjective information” approach can directly predict human thinking or the internal law of complicated objective events into an explicit digital form, for the completeness of source information to make the correct and comprehensive “Big Data” prediction possible. Practical case studies are presented.

Model Optimasi Jaringan Rantai Pasok Pada Sistem Informasi Harga Karet Rakyat Berbasis Web

The supply chain problems have traditionally resulted in inefficient distribution of the people's rubber production. The research scope is in Musi Rawas district. The purpose of this research is to optimize the people's rubber supply chain from each supply chain channel using an information system. The method of analysis used in this research is Linear Programming (LP). Conveyance capacity and labor hours serve as constraint functions, while the objective function is to maximize distribution profits from each rubber supply chain channel. From the results of testing the Quantitative Management (QM) application with a sample of farmers 1, village collectors 1 and sub-district 1 collectors in the first channel, a solution of type A products is obtained, which is 625 and a profit of X1 = 8218, then multiplied into a profit of Rp. 5,136,250. From the results of testing the Quantitative Management (QM) application with a sample of farmers and village / sub-district collectors 1 in the second channel, it was found that the product type A solution was 500 and the profit X1 = 7923, the profit was Rp. 3,961,500. From the results of testing the Quantitative Management (QM) application with a sample of farmers and UPPB 1 in the third channel, the solution for type B products is 562.5 and the profit X2 = 9897, the profit is Rp. 5,567,063. So from the results of the analysis using the QM application, the maximum benefit from the people's rubber supply chain in Musi Rawas district is in the third channel

A Quantitative Management of Potassium Supply for Hydroponic Production of Low-Potassium Cherry-Type Tomato Fruit for Chronic Kidney Disease Patients

Chronic kidney disease (CKD) has been a global health problem in recent years. CKD patients often restrict their potassium (K) intake to avoid the high risk of hyperkalemia. In this study, quantitative K management in hydroponics was adopted to produce low K cherry-type tomato (Solanum lycopersicom L.) fruit. The total quantity of K supply per plant during the cultivation was 7.2 g (1 K), 3.6 g (1/2 K), 1.8 g (1/4 K), 0.9 g (1/8 K) and 0.6 g (1/12 K), respectively. The total fruit yield decreased to about 75% at 1/2 K and 58% at 1/12 K compared to 1 K. The fruit K content was lower in 1/4 K, 1/8 K and 1/12 K than in 1 K and 1/2 K, and the fruit from 1/8 K and 1/12 K achieved below 100 mg 100 g−1 FW of K. Total soluble solid content (Brix) was 7–8% in 1 K and 1/4 K but was lower in 1/8 K and 1/12 K. Fruit acid content decreased to 87% in 1/2 K to 70% in 1/4 K and 1/8 K, and to 57% in 1/12 K of 1 K. In conclusion, quantitative K management in hydroponics is expected to produce low K tomato fruit. Fruit K content of approximately 100 mg.100 g−1 FW was achieved when the quantity of K supply was 1/4 K and 1/8 K, with a relatively smaller effect on fruit yield, Brix and acid content.

Reconstructing phase-resolved hysteresis loops from first-order reversal curves

The first order reversal curve (FORC) method is a magnetometry based technique used to capture nanoscale magnetic phase separation and interactions with macroscopic measurements using minor hysteresis loop analysis. This makes the FORC technique a powerful tool in the analysis of complex systems which cannot be effectively probed using localized techniques. However, recovering quantitative details about the identified phases which can be compared to traditionally measured metrics remains an enigmatic challenge. We demonstrate a technique to reconstruct phase-resolved magnetic hysteresis loops by selectively integrating the measured FORC distribution. From these minor loops, the traditional metrics—including the coercivity and saturation field, and the remanent and saturation magnetization—can be determined. In order to perform this analysis, special consideration must be paid to the accurate quantitative management of the so-called reversible features. This technique is demonstrated on three representative materials systems, high anisotropy FeCuPt thin-films, Fe nanodots, and SmCo/Fe exchange spring magnet films, and shows excellent agreement with the direct measured major loop, as well as the phase separated loops.

Importance of Ethical Aspects for Decision-Making

The management theory did not develop equally with the changes in technologies. The consequence of this shortcoming is a prevalence of quantitative management which puts an emphasis on the quantitative values. This represents a risk for the sustainable growth. Therefore, the managerial ethics, which biases qualitative values and attitudes, is important for the managers' decision-making. The effective decision-making process is further based not only on the manager's experience, which may lead to a certain routine, but also on the cooperation among the other departments and educational institutions. Furthermore, the successful innovations, which are often an outcome of the systemic and complex decision-making, require to follow certain rules during their implementation. A person may become an initiator, leader, subject or a consumer of the innovation and should be adequately prepared for all these roles. Despite the abrupt development in the technical areas there is not such progress in the humanities. Education is still more focused on the content and form (thus quantity) rather than on the applications and relations (quality).