SYSTEM APPROACH TO STUDYING THE TECHNOLOGY OF PUMPKIN SEEDS POST-HARVEST TREATMENT

The main technical task of agricultural production in the field of seed production is to obtain conditional seeds that meet national and international quality standards. One of the important stages of growing agricultural seeds is their post-harvest processing, which includes the drying process, which is the main and one of the most effective methods for storing and processing agricultural raw materials. It is possible to increase the efficiency of the technology of post-harvest treatment of pumpkin seeds by determining the possibilities of using a systematic approach to solving the problems of implementing measures and means, identifying the mechanism of functioning and developing its effectiveness. Modeling and systems analysis are the main research methods and agricultural technology systems. Systems analysis is widely used in the study of various branches of agricultural production. The article discusses the main features of the components of the technology of post-harvest treatment of pumpkin seeds, forming a certain hierarchical system: technology - technological process - technological operation. The input factors of the pumpkin seed drying system will be such indicators as the supply of the input material, its moisture content, the parameters of the drying agent, and the quality indicators of the input material. A structural diagram of pumpkin seed production has been developed and the target function of the system in matrix form and an algorithm for the implementation of the target function of the pumpkin seed production system have been selected. The matrix of the objective function and the algorithm for its implementation can be used to analyze the pumpkin seed production system as a whole at the level of an individual enterprise, and by individual elements to find bottlenecks in this technology.

Improving the strategy to create a profitable and sustainable business in the era of economic competition in Indonesia

This project aims to improve business strategies to increase profits and sustainability in the era of business competition. The data that we use to answer the discussion of this study is sourced from some literature published in several journals such as books, procedures at other times. We then analyzed the data using a phenomenological approach, a method for exploring the data and then analyzing it under an in-depth interpretation approach to the coding system and evaluating analysis to provide the data as findings to answer high-quality questions. The data search is carried out by procedures and electronically with a keyword system. Based on the existing data and the discussion, we can finally conclude that the results include strategies to increase profits and business continuity in this competitive era is the ability instead of moving a business to understand the business world, study business strategies, understand and know the business competition system and have extensive knowledge of business that is run in an era full of intense competition. Hopefully, these insights to be a good input material to support future studies.

Adequate BIM level of detail for LCA energy simulation

<p>This research tested the new LCAQuick Residential, a computer-based analysis tool developed by BRANZ (available from www.branz.co.nz). This tool is designed to allow the ready preparation of a LCA at an early point in the design process for a residential house. The research problem was created by the infancy of the program and its unknown ability to produce results to support decision making to include Life Cycle Analysis (LCA) for designers and developers seeking a more sustainable design outcome. The method of testing was to take a real house design and model it using Autodesk Revit™ to create a virtual model. The virtual model was then used to input material quantities into LCAQuick Residential, which in turn generated a full set of Life-Cycle Energy (LCE) data. To test this approach, the data from a Quantity Surveyor (Schedule of Quantities) was also used as input to LCAQuick Residential, and the results compared. For this research on the energy component of LCA was examined – the LCE. It was found that the material quantities generated by each of the approaches differed, and it was necessary to critically compare them to ensure material volumes, density and quantity were appropriately matched and entered into the tool. Considerable care was also required to ensure materials were correctly identified and allocated to the appropriate LCAQuick library material.</p>

Adequate BIM level of detail for LCA energy simulation

<p>This research tested the new LCAQuick Residential, a computer-based analysis tool developed by BRANZ (available from www.branz.co.nz). This tool is designed to allow the ready preparation of a LCA at an early point in the design process for a residential house. The research problem was created by the infancy of the program and its unknown ability to produce results to support decision making to include Life Cycle Analysis (LCA) for designers and developers seeking a more sustainable design outcome. The method of testing was to take a real house design and model it using Autodesk Revit™ to create a virtual model. The virtual model was then used to input material quantities into LCAQuick Residential, which in turn generated a full set of Life-Cycle Energy (LCE) data. To test this approach, the data from a Quantity Surveyor (Schedule of Quantities) was also used as input to LCAQuick Residential, and the results compared. For this research on the energy component of LCA was examined – the LCE. It was found that the material quantities generated by each of the approaches differed, and it was necessary to critically compare them to ensure material volumes, density and quantity were appropriately matched and entered into the tool. Considerable care was also required to ensure materials were correctly identified and allocated to the appropriate LCAQuick library material.</p>

Using productivity concept to predict material demand

Background: The issue of material demands prediction has been researched in industrial study and materials/ manufacturing technology many years ago. The previous researches based on stochastic model to discuss the quantities prediction of material demand. Some of them focus on multi-suppliers with characteristic function. Some use the information of past ordering quantities and ordering recency time. In these previous models, there is less study to discuss the impact of cost on material demand forecasting. Thus, this paper considers the productivities concept to make cost balance when forecasting material demand. The different probability distributions are demonstrated to portray the input (material demand) and output(cost). Methods: A case study with its empirical data is released to derive the probability function of cost and estimate the parameters of the proposed model. Results: The proposed model can extend to different distributions depending on different kind of cost or different type of industries and is more widely application. Conclusion: To consider manufacture's productivity, this model can help manager to control their cost and make a balance when ordering their materials. The model development of cost release a general function which makes it possible to extend different distributions depending on different kind of cost or different type of industries.

Stochastic-Based Reliability Analysis of Stainless-Steel Beams Under Bending

The presented article studies the bending resistance of a stainless steel hot-rolled profile UPE 80, which is stressed by bending around the minor principal axis. Resistance is studied as the random output variable, which is a function of input material and geometric characteristics. The paper deals with the stochastic analysis of this static resistance. The computational model is created on the basis of the finite element method using geometric and materially nonlinear solution. The Ansys software with 4-node Shell 181 element is used. The input random variables of the stainless steel are taken from previous research aimed at identifying the material mechanical properties based on experimental research of austenitic chromium-nickel stainless steel 1.4307/AISI 304 L. Statistical analysis is performed using the Latin Hypercube Sampling method. The probability of achieving standard design resistance is estimated and compared with the reliability level in standard EN1990 given by the reliability factor beta 3.8. The article discusses the need for a larger number of samples for reliable estimates of design resistances and for the verification of partial reliability factors, which are a challenge for further research.

High-Performance Method of Recovery of Metals from EAF Dust—Processing without Solid Waste

A highly effective method of the processing of steelmaking dust in an arc-resistant furnace has been presented. The aim of the research was to investigate the possibility of processing steelmaking dust in terms of waste minimization and selective recovery of valuable components. For this purpose, an electric arc resistance furnace was used. Granulated steelmaking dust with reducer (coal dust) was the input material. The products of the process are zinc oxide, iron alloy and slag, with properties meeting high ecological requirements. The technology does not generate solid waste. Zinc recovery is over 99% and iron recovery over 98%. The content of heavy metals (Zn + Pb + Cu) in glassy slag is below 0.2%, which ensures very low leachability.

Multisite verification of the accuracy of a multi-gene next generation sequencing panel for detection of mutations and copy number alterations in solid tumours

Molecular variants including single nucleotide variants (SNVs), copy number variants (CNVs) and fusions can be detected in the clinical setting using deep targeted sequencing. These assays support low limits of detection using little genomic input material. They are gaining in popularity in clinical laboratories, where sample volumes are limited, and low variant allele fractions may be present. However, data on reproducibility between laboratories is limited. Using a ring study, we evaluated the performance of 7 Ontario laboratories using targeted sequencing panels. All laboratories analysed a series of control and clinical samples for SNVs/CNVs and gene fusions. High concordance was observed across laboratories for measured CNVs and SNVs. Over 97% of SNV calls in clinical samples were detected by all laboratories. Whilst only a single CNV was detected in the clinical samples tested, all laboratories were able to reproducibly report both the variant and copy number. Concordance for information derived from RNA was lower than observed for DNA, due largely to decreased quality metrics associated with the RNA components of the assay, suggesting that the RNA portions of comprehensive NGS assays may be more vulnerable to variations in approach and workflow. Overall the results of this study support the use of the OFA for targeted sequencing for testing of clinical samples and suggest specific internal quality metrics that can be reliable indicators of assay failure. While we believe this evidence can be interpreted to support deep targeted sequencing in general, additional studies should be performed to confirm this.

PERLINDUNGAN HUKUM TERHADAP KONSUMEN PROPERTI SISTEM PRE PROJECT SELLING BERDASARKAN PRINSIP PERLINDUNGAN KONSUMEN DALAM UU NOMOR 8 TAHUN 1999 TENTANG PERLINDUNGAN KONSUMEN

<table width="574" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="426"><p><strong><em>Pre-Project Selling is an agreement made by the parties to the sale and purchase of property before the project is built and the new one is sold in the form of pictures or concepts. The reason developers develop this Pre-Project Selling practice is to find out the market’s response to the property product that will be built (test the water). The Pre-Project Selling practice is a special agreement. This is because the object of the agreement is an image or concept from the developer. The rise of the Pre-Project Selling certainly presents some problems. One of them is about protecting consumers from images or concepts proposed by Developers. In this study will discuss the Consumer protection of Consumer Protection against Pre-Project Selling practices that refer to the legal principles in the Consumer Protection Act. This type of research is normative research, which is research based on studies that are in accordance with the theories and legal rules that have been determined. This normative research also functions to provide a juridical argument against the occurrence of emptiness, obscurity, and norm conflicts. Thus this research is considered very important as a policy input material in order to provide the value of justice for the community.</em></strong><strong><em></em></strong></p></td></tr></tbody></table>

A State-of-the Art Review of SNOMED CT Terminology Binding and Recommendations for Practice and Research

Background Unambiguous sharing of data requires information models and terminology in combination, but there is a lack of knowledge as to how they should be combined, leading to impaired interoperability. Objectives To facilitate creation of guidelines for SNOMED CT terminology binding we have performed a literature review to find existing recommendations and expose knowledge gaps. The primary audience is practitioners and researchers working with terminology binding. Methods PubMed, Scopus, and Web of Science were searched for papers containing “terminology binding,” “subset,” “map,” “information model” or “implement” and the term “SNOMED.” Results The search yielded 616 unique papers published from 2004 to 2020, from which 55 papers were selected and analyzed inductively. Topics described in the papers include problems related to input material, SNOMED CT, information models, and lack of appropriate tools as well as recommendations regarding competence. Conclusion Recommendations are given for practitioners and researchers. Many of the stated problems can be solved by better co-operation between domain experts and informaticians and better knowledge of SNOMED CT. Settings where these competences either work together or where staff with knowledge of both act as brokers are well equipped for terminology binding. Tooling is not thoroughly researched and might be a possible way to facilitate terminology binding.