Analysis of distribution patterns and marketing margins of capture fishery products at the Ujong Baroh fishing port, West Aceh district, Indonesia

The objectives to be achieved in this study are to determine the distribution pattern of capture fishery products at Ujong Baroh Fishing Port and determine an efficient distribution pattern in conducting a marketing system by knowing the margin received. The method used in this study is a survey method with purposive sampling data collection techniques. The data analysis used in this research is descriptive analysis and marketing margin analysis. The descriptive analysis used to describe the distribution pattern in Ujong Baroh Fishing Port. Marketing margin analysis is used to measure the profits of each actor involved in the catch distribution pattern. Results of this study obtained 2 distribution patterns that occur in Ujong Baroh Fishing Port. The first distribution pattern is fishermen to fish collectors to wholesalers to retailers to consumers; second, fishermen to fish collectors to traders to consumers. Both distribution patterns at Ujong Baroh Fishing Port are correct because these patterns get a marketing margin value of < 50% and a fisherman’s profit sharing value of > 50%, where the distribution pattern is classified as efficient. The party who benefits from both distribution patterns is fish collectors because they get a sales profit of 7%.

Legal regulation of rational energy production and consumption in Russia and other states

The authors of the article analyze the problems of legal regulation of rational subsoil use and energy consumption in Russia, Germany, USA, Japan and other countries. It also compares the energy legislation of different countries. Based on the results, it was concluded that the development of the legislation of these countries is in general compliance with the strategic goals in the field of energy production and consumption. These goals are the construction of ecologically clean "green" energy based on the rational use of mineral resources and minerals and the rational and efficient distribution of energy.

Alternation Measures for the Evaluation of Selfish Agents’ Turn-Taking

Multi-Agent Reinforcement Learning reductionist simulations can provide a spectrum of opportunities towards the modeling and understanding of complex social phenomena such as common-pool appropriation. In this paper, a multiplayer variant of Battle-of-the-Exes is suggested as appropriate for experimentation regarding fair and efficient coordination and turn-taking among selfish agents. Going beyond literature’s fairness and efficiency, a novel measure is proposed for turn-taking coordination evaluation, robust to the number of agents and episodes of a system. Six variants of this measure are defined, entitled Alternation Measures or ALT. ALT measures were found sufficient to capture the desired properties (alternation, fair and efficient distribution) in comparison to state-of-the-art measures, thus they were benchmarked and tested through a series of experiments with Reinforcement Learning agents, aspiring to contribute novel tools for a deeper understanding of emergent social outcomes.

MAIN ESSENCE AND HISTORY OF GLOBAL FINANCIAL MARKETS

Global financial markets play an essential role in the economic growth and evolution of international relations. It allows rational and efficient distribution of monetary resources between those who save and those who invest and by that it supports flow of the capital. In the recent year’s importance of financial markets has largely increased, which can be seen in the rapid change of statistics of the number and volume of market. Moreover, development of different financial instruments stimulates the growth of businesses which in the end result in positive trend of the country`s economic indexes. Considering that expansion of mobilization and redistribution instruments of financial markets has positive impact on growth of economy, this article tracks down history of establishment and main essences of global financial market, as well as changes which can be tracked throughout these years.

The Distribution of Income and Wealth in Ireland

Ensuring a fair and efficient distribution of economic resources in society is one of the most important public policy challenges facing democratic governments. This chapter notes how the emergence of new and better data on the composition and distribution of income and wealth has heightened interest in economic inequality. Data on the distribution of both income and wealth are presented, highlighting how Ireland, as a liberal market economy, has high levels of direct market income inequality but the welfare state plays a significant role in redistribution. The provision of robust wealth data is a recent phenomenon for Ireland, one absent from our understanding of living standards, well-being, and redistributive public policies for some time. Wealth is more unequally distributed than income, and it is notably concentrated in housing capital. The chapter concludes by highlighting the relevance and potential of these new insights.

Analisis Saluran dan Marjin Pemasaran Gula Pasir Milik Petani di Kecamatan Gedeg Mojokerto Jawa Timur

This study analyzes the marketing channels and efficient distribution channels carried out by farmers in marketing sugar products to consumers, knowing how the most economically efficient distribution channels and the obstacles faced by each distribution institution. The essentials primary method used in this research was descriptive. Determination of the location of the study was done purposively. Farmer samples were taken by simple random sampling, and the example of traders was taken by snowball sampling. The entire selection was 28 famers and eight merchants. The research was conducted in May 2018. Data analyzes by calculating the marketing margin and efficiency of each marketing channel. This study indicates that farmers chose four distribution channels to distribute the sugar they have to consumers. The most economically efficient distribution channel was distribution channel III, with an IDR 7,61/kg marketing efficiency value and a marketing margin was IDR 1.000/kg.

Effective Distribution of Tasks in Multiprocessor and Multi-Computers Distributed Homogeneous Systems

Nowadays, a promising is the direction associated with the use of a large number of processors to solve the resource-intensive tasks. The enormous potential of multiprocessor and multicomputer systems can be fully revealed only when we apply effective methods for organizing the distribution of tasks between processors or computers. However, the problem of efficient distribution of tasks between processors and computers in similar computing systems remains relevant. Two key factors are critical and have an impact on system performance. This is load uniformity and interprocessor or intercomputer interactions. These conflicting factors must be taken into account simultaneously in the distribution of tasks in multiprocessor computing systems. A uniform loading plays a key role in achieving high parallel efficiency, especially in systems with a large number of processors or computers. Efficiency means not only the ability to obtain the result of computations in a finite number of iterations with the necessary accuracy, but also to obtain the result in the shortest possible time. The number of tasks intended for execution on each processor or each computer should be determined so that the execution time is minimal. This study offers a technique that takes into account the workload of computers and intercomputer interactions, and allows one to minimize the execution time of tasks. The technique proposed by the authors allows the comparison of different architectures of computers and computing modules. In this case, a parameter is used that characterizes the behavior of various models with a fixed number of computers, as well as a parameter that is necessary to compare the effectiveness of each computer architecture or computing module when a different number of computers are used. The number of computers can be variable at a fixed workload. The mathematical implementation of this method is based on the problem solution of the mathematical optimization or feasibility.

Sensus: A Cross-Platform, General-Purpose System for Mobile Crowdsensing in Human-Subject Studies

The burden of entry into mobile crowdsensing (MCS) is prohibitively high for human-subject researchers who lack a technical orientation. As a result, the benefits of MCS remain beyond the reach of research communities (e.g., psychologists) whose expertise in the study of human behavior might advance applications and understanding of MCS systems. This paper presents Sensus, a new MCS system for human-subject studies that bridges the gap between human-subject researchers and MCS methods. Sensus alleviates technical burdens with on-device, GUI-based design of sensing plans, simple and efficient distribution of sensing plans to study participants, and uniform participant experience across iOS and Android devices. Sensing plans support many hardware and software sensors, automatic deployment of sensor-triggered surveys, and double-blind assignment of participants within randomized controlled trials. Sensus offers these features to study designers without requiring knowledge of markup and programming languages. We demonstrate the feasibility of using Sensus within two human-subject studies, one in psychology and one in engineering. Feedback from non-technical users indicates that Sensus is an effective and low-burden system for MCS-based data collection and analysis.