scholarly journals METHODOLOGY OF SYNTHESIS OF PACKING MACHINES FOR FOOD PRODUCTS BASED ON MULTICRITERIAL ANALYSIS

2020 ◽  
pp. 34-42
Author(s):  
Liudmyla Kryvoplias-Volodina ◽  
Oleksandr Gavva ◽  
Anastasiia Derenivska ◽  
Oleksandr Volodin
Keyword(s):  
Functional Module ◽  
Food Products ◽  
Packing Material ◽  
Film Material ◽  
Functional Modules ◽  
Assessment Criterion ◽  
Minimax Criterion ◽  
Material Supply ◽  
Joint Properties ◽  
Hierarchic Structure

The complex of technical means for optimization synthesis of assembling of a packing machine of separate functional modules has been developed. The method of synthesis of a packing machine, based on criterial assessment of separate functional modules (FM), combined by two main assessment groups, has been offered. FM may be selected and calculated by the program of consumption, based on the overall equipment effectiveness (OEE) criterion. An example of synthesis, based on the offered method, takes into account variants of choice of ready functional modules, based on the hierarchic structure of a module of roll packing material supply. The method takes into account the systemic approach to analysis of equipment constructions for packing fine-piece and piece food products in a consumption package. The synthesis of FM assembling as conceptual models, abstract ones, reflecting the construction structure and connections between separate elements – functional devices (FD) – has been offered. The optimal assembling of the functional device in the structure of the functional module of roll packing material supply has been determined. As a result of solving this problem, a FM1 prototype has been created. At conducting the comparative analysis with the existent equipment, the automatic functional device has been modeled. The use of the OEE criterion with joint properties that reflects the generalized assessment of a packing machine or functional module with a maximin (minimax) criterion by the compromise principle has been substantiated. The analysis is grounded on the idea of optimality of each module or device of the machine for packing food products at adding each next functional module to its composition. The program of assessment calculation of the package equipment with the complex assessment criterion OEE for different assembling of FMi machines for packing piece and fine-piece products has been developed. The FM of roll film material supply with using a microprocessor managing device that maintains a sinusoidal law of movement of a stretching roll of the packing machine has been developed. Optimal characteristics of the technical system have been determined. Results, obtained at processing experimental data, confirm adequacy of the offered method for assessing assembling solutions

scholarly journals Comparing Host Module Activation Patterns and Temporal Dynamics in Infection by Influenza H1N1 Viruses

2021 ◽  
Vol 12 ◽  
Author(s):  
Irina Nudelman ◽  
Daniil Kudrin ◽  
German Nudelman ◽  
Raamesh Deshpande ◽  
Boris M. Hartmann ◽  
...  
Keyword(s):  
Time Series ◽  
Temporal Dynamics ◽  
Functional Module ◽  
Influenza Virus Infection ◽  
Influenza Viruses ◽  
Host Cells ◽  
Integrative Approach ◽  
Functional Modules ◽  
Expression Data ◽  
Virus Strains

Influenza is a serious global health threat that shows varying pathogenicity among different virus strains. Understanding similarities and differences among activated functional pathways in the host responses can help elucidate therapeutic targets responsible for pathogenesis. To compare the types and timing of functional modules activated in host cells by four influenza viruses of varying pathogenicity, we developed a new DYNAmic MOdule (DYNAMO) method that addresses the need to compare functional module utilization over time. This integrative approach overlays whole genome time series expression data onto an immune-specific functional network, and extracts conserved modules exhibiting either different temporal patterns or overall transcriptional activity. We identified a common core response to influenza virus infection that is temporally shifted for different viruses. We also identified differentially regulated functional modules that reveal unique elements of responses to different virus strains. Our work highlights the usefulness of combining time series gene expression data with a functional interaction map to capture temporal dynamics of the same cellular pathways under different conditions. Our results help elucidate conservation of the immune response both globally and at a granular level, and provide mechanistic insight into the differences in the host response to infection by influenza strains of varying pathogenicity.

scholarly journals Symbiotic Exploration of Silage Machinery Based on Technological System Evolution

2021 ◽  
Vol 2066 (1) ◽  
pp. 012087
Author(s):  
Bing Lv ◽  
Hao Wei ◽  
Yantao Li ◽  
Zhenpeng Xue
Keyword(s):  
Functional Module ◽  
Design Stage ◽  
User Needs ◽  
Functional Modules ◽  
Improve Product Quality ◽  
Market Demand ◽  
System Evolution ◽  
Technology System ◽  
Design Cycle ◽  
High Degree

Abstract In order to make each functional module of silage machinery have a high degree of adaptability and meet the market demand of coordinated operation of each functional module, this paper preliminarily explores the symbiosis concept in the field of silage equipment, and applies the technology system evolution theory to the symbiotic design of silage equipment. In the design stage, the designers divide the functional modules of the silage machinery according to the market and user needs, and then analyze the symbiosis of the interrelated modules and screen out the functional modules with weak adaptability, so as to carry out the technical system evolution and optimize each functional module, and then establish the layout scheme between modules, so that the various functional modules of the silage machinery have strong adaptability, improve product quality, reduce design costs, shorten the design cycle, and realize the user’s demand for the coordinated operation of multi-functional silage machinery.

scholarly journals THE INTEGRATED LAYOUT DECISIONS FOR AUTOMATIC CONTROL OF PACKING SYSTEMS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
A. Volodin ◽  
L. Kryvoplias-Volodina
Keyword(s):  
Functional Module ◽  
Packing Material ◽  
Working Environment ◽  
Process Equipment ◽  
Proper Selection ◽  
Rolled Material ◽  
Technological Processes ◽  
Complex Mechanization ◽  
Target Pressure ◽  
Selection Of

On many industrial objects regulators of pressure are used. Following initial data are necessary for proper selection of a regulator and calculation of throughput: a working environment, entrance and target pressure, expense, temperature of a working environment, accuracy of regulation, a class of tightness, diameter of the pipeline, type of accession, constructional materials, external or internal registration of target pressure, protection against excess of pressure.The decision of this problem is closely connected with the proved choice of types of the process equipment, wide automation of technological processes, introduction of new technical decisions, use of necessary means of the control over realization of problems of complex mechanization of technological operations. In article the analysis of work of the functional module of a vertical multiline automatic packing machine on the basis of a proportional regulator of pressure «CAMOZZI» with realization of a feedback by means of an analog signal of regulator МХ-PRO [1-3] is lead. The drive of the holder for a rolled material has been tested on proportional management of position of the directing rollers used on a technological site of supply and regulation of a tension of a tape of a roll of a packing material at formation of packing.Results on use as the operating module of regulator МХ-PRO for management of a drive of the holder for a roll of a material in view of a course and pressure in a pneumatic system are received. Carried out researches provide the way to raise operational properties of a transportation system of supply of a packing material for technological processes of packing modules at the food enterprises.

Green Modular Design by the Concept of Chemical Activation Energy

2014 ◽  
Vol 8 (5) ◽  
pp. 716-722 ◽  
Author(s):  
Shana S. Smith ◽  
◽  
Wei-Zhe Wang
Keyword(s):  
Activation Energy ◽  
Modular Design ◽  
Design Method ◽  
Functional Module ◽  
Chemical Activation ◽  
Functional Modules ◽  
Natural Resource Use ◽  
Green Performance ◽  
Important Research Topic ◽  
Study Results

Due to increasing environmental concerns, natural resource use must become more efficient. As a result, green design is now an important research topic. The goal of this study was to create a green modular design method using the concept of chemical activation energy. The method uses five product functions and five product attributes that affect green performance to group parts into functional modules and then group parts into green modules within each functional module. Considering both product functions and environmental factors ensures the functional feasibility of the modules that are created and also improves the green performance of the product. The method developed in this study was used to group parts into functional modules and green modules for an LCD monitor. The study results can be used to help designers create new green products or improve the green performance of existing products.

METABOLIC NETWORKS ROBUSTNESS: THEORY, SIMULATIONS AND RESULTS

2011 ◽  
Vol 12 (03) ◽  
pp. 221-240 ◽  
Author(s):  
SALVATORE VITABILE ◽  
VINCENZO CONTI ◽  
BARBARA LANZA ◽  
DOMENICO CUSUMANO ◽  
FLIPPO SORBELLO
Keyword(s):  
Metabolic Pathways ◽  
Metabolic Networks ◽  
Functional Module ◽  
Robustness Analysis ◽  
Integrated Approach ◽  
Normal Operation ◽  
Functional Modules ◽  
Network Behavior ◽  
Operation Conditions ◽  
Targeted Attacks

Metabolic networks are composed of several functional modules, reproducing metabolic pathways and describing the entire cellular metabolism of an organism. In the last decade, an enormous interest has grown for the study of tolerance to errors and attacks in metabolic networks. Studies on their robustness have suggested that metabolic networks are tolerant to errors, but very vulnerable to targeted attacks against highly connected nodes. However, many findings on metabolic networks suggest that the above classification is too simple and imprecise, since hub node attacks can be by-passed if alternative metabolic paths can be exploited. On the contrary, non-hub nodes attacks can affect cell survival when the node is the only path within a functional module. In this paper an integrated approach for metabolic networks robustness analysis is presented. With more details, statistical, topological, and functional analysis are used together to evaluate metabolic network behavior under normal operation conditions and under random or targeted attacks. Two real biological metabolic networks have been used to test the effectiveness of the proposed approach.

scholarly journals Comparing host module activation patterns and temporal dynamics in infection by influenza H1N1 viruses

2021 ◽  
Author(s):  
Irina Nudelman ◽  
Daniil Kudrin ◽  
German Nudelman ◽  
Raamesh Deshpande ◽  
Boris M. Hartmann ◽  
...  
Keyword(s):  
Time Series ◽  
Temporal Dynamics ◽  
Functional Module ◽  
Influenza Virus Infection ◽  
Influenza Viruses ◽  
Host Cells ◽  
Integrative Approach ◽  
Functional Modules ◽  
Expression Data ◽  
Virus Strains

Influenza is a serious global health threat that shows varying pathogenicity among different virus strains. Understanding similarities and differences among activated functional pathways in the host responses can help elucidate therapeutic targets responsible for pathogenesis. To compare the types and timing of functional modules activated in host cells by four influenza viruses of varying pathogenicity, we developed a new DYNAmic MOdule (DYNAMO) method that addresses the need to compare functional module utilization over time. This integrative approach overlays whole genome time series expression data onto an immune-specific functional network, and extracts conserved modules exhibiting either different temporal patterns or overall transcriptional activity. We identified a common core response to influenza virus infection that is temporally shifted for different viruses. We also identified differentially regulated functional modules that reveal unique elements of responses to different virus strains. Our work highlights the usefulness of combining time series gene expression data with a functional interaction map to capture temporal dynamics of the same cellular pathways under different conditions. Our results help elucidate conservation of the immune response both globally and at a granular level, and provide mechanistic insight into the differences in the host response to infection by influenza strains of varying pathogenicity

scholarly journals Balanced Functional Module Detection in Genomic Data

2020 ◽  
Author(s):  
David Tritchler ◽  
Lorin M Towle-Miller ◽  
Jeffrey C Miecznikowski
Keyword(s):  
Graphical Models ◽  
Functional Module ◽  
Genomic Data ◽  
The Cancer Genome Atlas ◽  
Internal Conflict ◽  
Detection Methods ◽  
Outcome Variable ◽  
Functional Modules ◽  
Module Detection ◽  
Multiple Variables

AbstractHigh dimensional genomic data can be analyzed to understand the effects of multiple variables on a target variable such as a clinical outcome, risk factor or diagnosis. Of special interest are functional modules, cooperating sets of variables affecting the target. Graphical models of various types are often useful for characterizing such networks of variables. In other applications such as social networks, the concept of balance in undirected signed graphs characterizes the consistency of associations within the network. To extend this concept to applications where a set of predictor variables influences an outcome variable, we define balance for functional modules. This property specifies that the module variables have a joint effect on the target outcome with no internal conflict, an efficiency that evolution may use for selection in biological networks. We show that for this class of graphs, observed correlations directly reflect paths in the underlying graph. Consequences of the balance property are exploited to implement a new module discovery algorithm, bFMD, which selects a subset of variables from highdimensional data that compose a balanced functional module. Our bFMD algorithm performed favorably in simulations as compared to other module detection methods that do not consider balance properties. Additionally, bFMD detected interpretable results in a real application for RNA-seq data obtained from The Cancer Genome Atlas (TCGA) for Uterine Corpus Endometrial Carcinoma using the percentage of tumor invasion as the target outcome of interest. bFMD detects sparse sets of variables within highdimensional datasets such that interpretability may be favorable as compared to other similar methods by leveraging balance properties used in other graphical applications.

ENHANCING BIOLOGICAL RELEVANCE OF A WEIGHTED GENE CO-EXPRESSION NETWORK FOR FUNCTIONAL MODULE IDENTIFICATION

2011 ◽  
Vol 09 (01) ◽  
pp. 111-129 ◽  
Author(s):  
SANTITHAM PROM-ON ◽  
ATTHAWUT CHANTHAPHAN ◽  
JONATHAN HOYIN CHAN ◽  
ASAWIN MEECHAI
Keyword(s):  
Gene Expression ◽  
Minimum Spanning Tree ◽  
Structural Information ◽  
Functional Module ◽  
Autism Spectrum ◽  
Functional Modules ◽  
Expression Levels ◽  
Module Identification ◽  
Backbone Network ◽  
Biological Relevance

Relationships among gene expression levels may be associated with the mechanisms of the disease. While identifying a direct association such as a difference in expression levels between case and control groups links genes to disease mechanisms, uncovering an indirect association in the form of a network structure may help reveal the underlying functional module associated with the disease under scrutiny. This paper presents a method to improve the biological relevance in functional module identification from the gene expression microarray data by enhancing the structure of a weighted gene co-expression network using minimum spanning tree. The enhanced network, which is called a backbone network, contains only the essential structural information to represent the gene co-expression network. The entire backbone network is decoupled into a number of coherent sub-networks, and then the functional modules are reconstructed from these sub-networks to ensure minimum redundancy. The method was tested with a simulated gene expression dataset and case-control expression datasets of autism spectrum disorder and colorectal cancer studies. The results indicate that the proposed method can accurately identify clusters in the simulated dataset, and the functional modules of the backbone network are more biologically relevant than those obtained from the original approach.

scholarly journals Essential genes and miRNA-mRNA network contributing to the pathogenesis of idiopathic pulmonary arterial hypertension

2020 ◽  
Author(s):  
Shengyu Hao ◽  
Pan Jiang ◽  
Liang Xie ◽  
Guiling Xiang ◽  
Zilong Liu ◽  
...  
Keyword(s):  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Molecular Mechanisms ◽  
Functional Module ◽  
Idiopathic Pulmonary Arterial Hypertension ◽  
Leukocyte Migration ◽  
Differentially Expressed ◽  
Functional Modules ◽  
Hub Genes ◽  
Pulmonary Arterial

Abstract Background: Idiopathic pulmonary arterial hypertension (IPAH) is a life-threatening disease. Owing to its high fatality rate and narrow therapeutic options, identification of the pathogenic mechanisms of IPAH is becoming increasingly important.Methods: In our research, we utilized the Robust Rank Aggregating (RRA) method to integrate four eligible PAH microarray datasets and identified the significant differentially expressed genes (DEGs) between IPAH and normal samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were performed to analyze their functions. The interaction network of protein-protein internet (PPI) was constructed to explore the correlation between these DEGs. The functional modules and hub genes were further identified by the weighted gene coexpression network analysis (WGCNA). Moreover, a miRNA microarray dataset was involved and analyzed to filter differentially expressed miRNA (DE-miRNAs). Potential target genes of screened DE-miRNAs were predicted and merged with DEGs to explore a miRNA-mRNA network in IPAH. Some hub genes were selected and validated by RT-PCR in lung tissues from PAH animal model.Results: A total of 260 DEGs, consisting of 183 upregulated and 77 down-regulated significant DEGs were identified, and some of those genes were novel. Their molecular roles in the etiology of IPAH remained vague. The most crucial functional module involved in IPAH mainly enriched in biological processes, including leukocyte migration, cell chemotaxis, and myeloid leukocyte migration. Construction and analysis of the PPI network showed that CXCL10, CXCL9, CCR1, CX3CR1, CX3CL1, CXCR2, CXCR1, PF4, CCL4L1, and ADORA3 were recognized as top10 hub genes with high connectivity degrees. WGCNA further identified five main functional modules involved in the pathogenesis of IPAH. 12 upregulated DE-miRNAs and 9 downregulated DE-miRNAs were identified. Among them, four downregulated DEGs, and eight upregulated DEGs were supposed to be negatively regulated by three upregulated DE-miRNAs, and three downregulated DE-miRNAs, respectively.Conclusions: This study identifies some key and functional coexpression modules involved in IPAH, as well as a potential IPAH-related miRNA-mRNA regulated network. It provides deepening insights into the molecular mechanisms and provides vital clues in seeking novel therapeutic targets for IPAH.

Changing consumer demands in non-food products – What are the implications for the agro-industrial businesses and their product development?

2017 ◽  
pp. 201-205
Author(s):  
Denbigh, R.J. Lloyd ◽  
Michael, A. Radeloff
Keyword(s):  
Food Products ◽  
Consumer Search ◽  
Raw Material ◽  
Food Ingredient ◽  
Environmental Care ◽  
Material Supply ◽  
Sustainable Lifestyles ◽  
Design And Manufacturing ◽  
Challenges And Opportunities ◽  
Consumer Demands

Changing consumer demands always significantly impact product design and manufacturing methods, and this is increasingly true in the case of non-food products. This article looks at some of the challenges and opportunities for the supply of agricultural-based products into this market sector. The interest in green chemistry has been revitalised into a new renaissance with the ever growing consumer search for natural, sustainable lifestyles and products to match these expectations. When this is combined with a changing regulatory situation, raw material supply issues and considerably greater concern for the environment, a new picture emerges. This trend follows the path of food ingredient development, with the deliberate change to products manufactured with identified environmental care and utilising demonstrably natural components. For industries such as starch and sugar, exploration of these areas of development present real opportunities.

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