Quality Analysis of Pig Iron Produced in One of Polish Steelworks

2012 ◽  
Vol 706-709 ◽  
pp. 2146-2151
Author(s):  
Edyta Kardas
Keyword(s):  
Steel Production ◽  
Optimal Level ◽  
Quality Parameters ◽  
Point Of View ◽  
Quality Analysis ◽  
Pig Iron ◽  
Factors Affecting ◽  
Basic Quality ◽  
Quality Tools

The quality of pig iron from the point of view of the customer, that is steel plant, is one of main factors affecting the quality and cost of steel production. Chemical composition and temperature of pig iron is among the parameters taking into consideration. The constancy of these parameters can result in steelmaking process on optimal level. The paper presents quantitative and quantitative analysis of pig iron produced in one of Polish steelworks. Analysis of the basic quality parameters of pig iron: the content of basic elements will be made. In the analysis statistical methods and quality tools will be applied.

ENHANCEMENT OF SCREEN FILM MAMMOGRAM UP TO A LEVEL OF DIGITAL MAMMOGRAM: EXPERIMENTAL ANALYSIS

2013 ◽  
Vol 13 (02) ◽  
pp. 1340004
Author(s):  
APARNA NARENDRA BHALE ◽  
MANISH RATNAKAR JOSHI
Keyword(s):  
Experimental Analysis ◽  
Breast Imaging ◽  
Point Of View ◽  
Quality Analysis ◽  
Digital Mammogram ◽  
Total Recovery ◽  
Clinical Observations ◽  
Opinion Score ◽  
Better Than

Breast cancer is one of the major causes of death among women. If a cancer can be detected early, the options of treatment and the chances of total recovery will increase. From a woman's point of view, the procedure practiced (compression of breasts to record an image) to obtain a digital mammogram (DM) is exactly the same that is used to obtain a screen film mammogram (SFM). The quality of DM is undoubtedly better than SFM. However, obtaining DM is costlier and very few institutions can afford DM machines. According to the National Cancer Institute 92% of breast imaging centers in India do not have digital mammography machines and they depend on the conventional SFM. Hence in this context, one should answer "Can SFM be enhanced up to a level of DM?" In this paper, we discuss our experimental analysis in this regard. We applied elementary image enhancement techniques to obtain enhanced SFM. We performed the quality analysis of DM and enhanced SFM using standard metrics like PSNR and RMSE on more than 350 mammograms. We also used mean opinion score (MOS) analysis to evaluate enhanced SFMs. The results showed that the clarity of processed SFM is as good as DM. Furthermore, we analyzed the extent of radiation exposed during SFM and DM. We presented our literally findings and clinical observations.

scholarly journals Between biology and medicine: perspectives on the use of dendritic cells in anticancer therapy

2017 ◽  
Vol 71 (0) ◽  
pp. 0-0
Author(s):  
Agnieszka Szczygieł ◽  
Elżbieta Pajtasz-Piasecka
Keyword(s):  
Dendritic Cells ◽  
Ex Vivo ◽  
Anticancer Therapy ◽  
Point Of View ◽  
Proper Function ◽  
Innate And Adaptive Immunity ◽  
Factors Affecting ◽  
Antigen Presenting

Dendritic cells (DCs), as a link between innate and adaptive immunity, play a pivotal role in maintaining homeostasis of the immune system. The DC population is characterized by heterogeneity; it consists of many subpopulations which, despite their phenotypic and localization differences, play an essential function – they are professional antigen presenting cells. Due to their role, DCs can be utilized in a new cancer treatment strategy. Their main purpose is to generate an anticancer response leading to the elimination of cancer cells. The tumor microenvironment, abundant in immunosuppressive factors (e.g. IL-10, TGF-β, Arg1, IDO), impairs the proper function of DCs. For this reason, various strategies are necessary for ex vivo preparation of DC-based vaccines and for the support of in vivo DCs to fight against tumors. DC-based vaccines are combined with other forms of immunotherapy (e.g. blockade of immune checkpoint molecules, e.g. PD-1 or CTLA-4) or conventional types of therapies (e.g. chemotherapy). Despite the enormous progress that has been made in anticancer therapy in the past two decades, there are still many unresolved issues regarding the effectiveness of the DCs usage. In this paper we described, in both a mouse and a human subject, a series of DC subpopulations, differentiating in normal conditions or under the influence of cancer microenvironment. We listed factors affecting the quality of the in vivo and ex vivo generations of antitumoral responses, significant from a therapeutic point of view. Moreover, the most important strategies for the use of DCs in anticancer therapies, as well as further developments on this field, have been discussed.

scholarly journals Strategic Aspect of Knowledge Management

Organizacija ◽  
2017 ◽  
Vol 50 (2) ◽  
pp. 163-176 ◽  
Author(s):  
Olja Arsenijević ◽  
Dragan Trivan ◽  
Iztok Podbregar ◽  
Polona Šprajc
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
First Generation ◽  
Point Of View ◽  
Factors Affecting ◽  
Level Of Knowledge ◽  
Empirical Point ◽  
Using Data ◽  
Tacit Knowledge Management

Abstract Background and Purpose: This paper analyses the strategic aspects of knowledge management in organizations in Serbia, from the theoretical and empirical point of view. In its theoretical part, the paper analyzes the latest literature in the fields of knowledge management, relations between communications strategyes and knowledge management, generations of knowledge management and organizational culture. Design/Methodology/Approach: In its empirical part, the paper deals with determining the level of knowledge management in Serbian organizations through diffrent generations of knowledge management, as well as the problem with explicit and tacit knowledge management. The hypotheses were tested using data colleted from organizatons in Serbia via questionnaire, which consisted of 50 questions to examine five key factors in knowledge management. Results: The results showed that out of 41 indicators, only eight are rated positively. Results of t-test indicate significant distinctions within factors affecting the quality of knowledge management, as well as differences in quality of explicit and tacit knowledge management, therefore they confirmed both hypotheses. Conclusion: The knowledge management projects in organizations in Serbia are initiated, as well as that belonging to the first generation of knowledge management can be defined.

Factors affecting the eating quality of pork

2000 ◽  
Vol 2000 ◽  
pp. 122-122
Author(s):  
M.J. Van Oeckel ◽  
N. Warnants ◽  
Ch.V. Boucqué
Keyword(s):  
Sensory Quality ◽  
Quality Parameters ◽  
Sensory Properties ◽  
Eating Quality ◽  
Factors Affecting ◽  
Pork Production ◽  
Belgian Study

A Belgian study shows that the five most important meat attributes for the consumers are as follows: quality, taste, freshness, absence of hormones and healthiness (Verbeke and Viaene, 1999). This corroborates with the results of a French survey by Touraille (1992), who found that sensory properties and security aspects (hormones) of meat are of paramount importance for the consumer. It is important to direct pork production towards an acceptable product adapted to the consumer's demand. The objective of this study is to evaluate in which way and how strong the sensory quality parameters are influenced by different factors.

scholarly journals Assessment of the Impact of Sewage Storage Ponds on the Water Environment in Surrounding Area

Proceedings ◽  
2020 ◽  
Vol 51 (1) ◽  
pp. 20
Author(s):  
Kairat Ospanov ◽  
Timur Rakhimov ◽  
Menlibai Myrzakhmetov ◽  
Dariusz Andraka
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Groundwater Aquifer ◽  
Sewage Ponds ◽  
Basic Quality ◽  
The Impact

The paper presents the results of research on the environmental impact of sewage ponds serving the city of Kostanay (Kazakhstan). The scope of the research included the determination of basic quality parameters of raw and treated wastewater, an analysis of the chemical composition of groundwater in the vicinity of sewage ponds, and the analysis of the water quality of the Tobol River. The obtained results indicate that sewage from storage ponds, infiltrating into the ground, caused groundwater pollution in the area of about 100 km2 around the reservoirs. Due to the fact that the groundwater aquifer in the vicinity of sewage ponds feeds the Tobol River, it also affects water quality in the river, which does not meet the requirements for most of the analyzed parameters.

scholarly journals Assessment of Visual Quality in Eyes with Forme Fruste Keratoconus and Mild and Moderate Keratoconus Based on Optical Quality Analysis System II Parameters

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zhonghao Ren ◽  
Liyan Xu ◽  
Qi Fan ◽  
Kaili Yang ◽  
Shengwei Ren ◽  
...  
Keyword(s):  
Intraclass Correlation ◽  
Visual Quality ◽  
Quality Parameters ◽  
Optical Quality ◽  
Normal Group ◽  
Quality Analysis ◽  
Significant Difference ◽  
Analysis System ◽  
Forme Fruste Keratoconus

Purpose. The study aimed to evaluate the visual quality of forme fruste keratoconus (FFK) and mild and moderate keratoconus by using an optical quality analysis system II (OQAS-II) and to explore the correlation between optical quality parameters and the disease progression. Methods. Twenty-one normal eyes, twenty-one FFK eyes, twenty-one mild keratoconus eyes, and twenty-one moderate keratoconus eyes were included in this prospective study. The optical quality parameters, such as object scatter index (OSI), modulation transfer function cutoff (MTF cutoff), strehl ratio (SR), and OQAS-II values at contrasts of 100% (OV-100), 20% (OV-20), and 9% (OV-9), were measured by OQAS-II. The repeatability of these parameters was analyzed by intraclass correlation coefficient (ICC), repeatability coefficient (RC), and coefficient of variation (CVw). Correlations between optical quality parameters and mean central keratometry readings (Kmean) were evaluated. The sensitivity and specificity of the parameters were analyzed using the receiver operating characteristic (ROC). Results. All the optical quality parameters among four groups showed good repeatability (all ICC≥0.75). The MTF cutoff, SR, OV-100, OV-20, OV-9 in FFK, mild and moderate keratoconus eyes were significantly lower than those in the normal group (all P<0.05). The ROC analyses of the MTF cutoff, SR, OV-100, OV-20, and OV-9 showed significant area under the curve (AUC) in discriminating FFK form normal, mild keratoconus from FFK, and moderate keratoconus from mild keratoconus (all P<0.05). The OSI in mild and moderate keratoconus eyes were significantly higher than that in FFK and normal group (all P<0.05), while the OSI showed no significant difference between the FFK group and normal group (P>0.05). The ROC analyses of the OSI showed significant AUC in discriminating mild keratoconus from FFK and moderate keratoconus from mild keratoconus (all P<0.05). In addition, the MTF cutoff was closely correlated to Kmean in keratoconus eyes (r = −0.710, P<0.001). Conclusion. The repeatability of OQAS-II is good in measuring visual quality of normal as well as FFK, mild, and moderate keratoconus. The visual quality of the FFK, mild, and moderate keratoconus is worse than that in normal eyes. The OQAS-II has the potential value in screening FFK from normal eyes and might be a useful tool for evaluating the progression of keratoconus.

scholarly journals Effects of N, P, K and S application on yield and quality of white jute (Corchorus capsularis L.) var. BJC-2197

2012 ◽  
Vol 21 (2) ◽  
pp. 109-116
Author(s):  
Sayma Khanom ◽  
Sonia Hosssain ◽  
Shahid Akhtar Hossain
Keyword(s):  
Growth Yield ◽  
Quality Parameters ◽  
Point Of View ◽  
Corchorus Capsularis ◽  
Yield And Quality ◽  
S Application ◽  
Positive Effect ◽  
S Fertilizers ◽  
Analysis Point

A field experiment was conducted at Bangladesh Jute Research Institute (BJRI) to observe the response of N, P, K and S on a pre?released white jute (Corchorus capsularis) var. BJC?2197. The experiment was carried out by applying N, P, K, S fertilizers in ten combinations including control. From the experiment it was observed that all the treatments had significant positive effect over control on growth, yield and quality parameters. The highest fiber yield (3.21 t/ha) and stick yield (6.58 t/ha) were recorded with N90P5K30S10 kg/ha treatment. However, the best quality fiber was found with combination of N90P15K30S10 kg/ha treatment. From the economic analysis point of view, it was found that combination of N90P5K30S10 kg/ha was higher (2.30) than N90P15K30S10 kg/ha (2.04). So the former can be considered as the best combination for var. BJC?2197 in terms of BCR, yield and quality. Dhaka Univ. J. Biol. Sci. 21(2): 109?116, 2012 (July) DOI: http://dx.doi.org/10.3329/dujbs.v21i2.11508

scholarly journals Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Real Time ◽  
River Basin ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Water Quality Analysis

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

THE INFLUENCE OF ENVIRONMENTAL FACTORS ON THE CROP AND QUALITY OF FIBER FLAX

2020 ◽  
Vol 5 (86) ◽  
pp. 3-10
Author(s):  
V.G. Chernikov ◽  
◽  
R.A. Rostovtsev ◽  
N.A. Kudryavtsev ◽  
I.V. Uschapovsky ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Raw Materials ◽  
Great Influence ◽  
Quality Parameters ◽  
Anthropogenic Factors ◽  
Soil Conditions ◽  
Factors Affecting ◽  
Fiber Flax ◽  
Yield And Quality

The formation of fiber flax yield and quality parameters depends on many soil-climatic, breedinggenetic, as well as anthropogenic factors. The quality of flax fiber is a combination of a number of features and properties that depend on the varietal characteristics of plants, the conditions of their cultivation, technologies for harvesting and straw retting, as well as on the processing modes of raw materials. During plant vegetation (90-130 days) many factors such as soil conditions (pH 4.8-5.5, humus 1.8-2.5%, P2O5 and K2O – 150-200 and 100-200 mg/kg, respectively) and the area of plant nutrition (15-30 million seeds/ha), temperature regime (the sum of active temperatures 1000-1800ºC), water supplying (400-430 units of water mass to create 1 unit of dry matter) and insolation (the arrival of FAR during the growing season 20-25 kcal / cm²), contamination of weeds (more than 60 annual and perennial species) and pests (more than 200 types of fungal, bacterial and viral diseases), features of phytosanitary measures (more than 50 chemicals) and agrotechnologic manners (Federal Register of technologies for the production of crop products) have a great influence on the quality of flax raw materials and can be a limit factor. Environmentally hazardous pollution of air, water and soil - the main components for the production of fiber flax – strongly affects the yield and quality of flax products. The development of waste-free environmentally friendly technologies for the cultivation, harvesting and processing of flax is an urgent task of scientific support of the industry. The main environmental factors affecting the yield and quality of fiber flax are discussed in the article.

Elements of Quality Analysis in Metallic Materials Production

2014 ◽  
Vol 657 ◽  
pp. 881-885 ◽  
Author(s):  
Adrian Ioana ◽  
Augustin Semenescu ◽  
Cezar Florin Preda
Keyword(s):  
Point Of View ◽  
Quality Analysis ◽  
Metallic Materials ◽  
Electric Steel ◽  
Metallic Material ◽  
Economical Analysis ◽  
Analysis Methods ◽  
Specific Analysis ◽  
Analysis Models

The paper presents the main methods of technical-economical analysis of the quality of the metallic material production. The technical - economical analysis of the electric steels quality can be processed both for the product (electric steel) and for the company (electric steelworks). Both the analysis methods for products (A) and the ones for companies (B) are presented in comparison. There are mainly presented and analyzed a specific analysis models for steels elaboration in Electric Arc Furnace (EAF). The main elements specific to the two categories of analysis methods, including mathematical models. The quality of the steels elaborated in the EAF is a very important parameter. From this point of view, there is the need of analyzing the electric steels quality in various methods, including by technical-economical ones. The technical - economical analysis of the electric steels quality can be processed both for the product (electric steel) and for the company (electric steelworks). For the technical - economical analysis for the electric steels quality, we can use two methods: methods of the analysis for the products quality (MAPQ); methods of the analysis for the companys (MACQ).

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