Fertilizer Value Updation to Farmers

2020 ◽  
Vol 17 (8) ◽  
pp. 3516-3519
Author(s):  
J. Refonaa ◽  
B. Naveen ◽  
S. L. JanyShabu ◽  
S. Dhamodaran ◽  
Mary Gladance ◽  
...  
Keyword(s):  
Data Analysis ◽  
Market Price ◽  
Practical Significance ◽  
Good Decision ◽  
Fertilizer Value ◽  
Multiple Classifiers ◽  
Different Types ◽  
Agricultural Yield ◽  
Value Changes ◽  
Fertilizer Demand

Fertilizer demand updating has a good practical significance to direct agricultural yield and for notifying the growth in market price of fertilizer to the farmer. In this the data analysis technology is used to update the rate change via notification. When the fertilizer value changes market gets the notifications for different types of land states. Fertilizers quality is pick out by ranking process. By this process the rate of the low and high qualities fertilizer is informed. The usage of number of classifiers provides a way to make good decision on prophecy due to the usage of multiple classifiers. Additionally, a ranking process is adapted to take conclusion to select classifiers outcome. This forecast price of the fertilizers in future.

Market of Insurance in Russia: Major Tendencies and Problems of Development

2006 ◽  
pp. 115-127
Author(s):  
T Natkhov
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Medium Term ◽  
Insurance Sector ◽  
Different Types ◽  
Basic Characteristics

The article considers recent tendencies in the development of the market of insurance in Russia. On the basis of statistical data analysis the most urgent problems of the insurance sector are formulated. Basic characteristics of different types of insurance are revealed, and measures on perfection of the insurance institution in the medium term are proposed.

Automated Emission Data Registration and Segmentation for IC Analysis

2016 ◽  
Author(s):  
Franco Stellari ◽  
Peilin Song
Keyword(s):  
Data Analysis ◽  
Registration Accuracy ◽  
Emission Data ◽  
Data Registration ◽  
Different Types ◽  
Test Chips

Abstract In this paper, the development of advanced emission data analysis methodologies for IC debugging and characterization is discussed. Techniques for automated layout to emission registration and data segmentations are proposed and demonstrated using both 22 nm and 14 nm SOI test chips. In particular, gate level registration accuracy is leveraged to compare the emission of different types of gates and quickly create variability maps automatically.

scholarly journals The esteem needs in the main character of ‘Me Before You’ movie

2021 ◽  
Vol 8 (3) ◽  
pp. 1285-1298
Author(s):  
Diana Anggraeni ◽  
Herland Franley Manalu ◽  
Desty Anggraini
Keyword(s):  
Data Analysis ◽  
Self Esteem ◽  
Psychological Effects ◽  
Main Character ◽  
Descriptive Data ◽  
Literary Works ◽  
Human Needs ◽  
Different Types ◽  
The Status

Humans have gone through many incidents, both good and bad experiences, and sometimes these experiences are shared with others in the form of stories. The stories, as one of the forms of literary works, would be nothing without the created characters within them because they provide the viewers with a purpose and a reason for us to learn about what happens in the story. Besides, they act as one important element in the movie with various psychological effects. This research aims to analyze the characteristics and the hierarchy of human needs, especially esteem needs, that appear in the main character named Will Traynor in the ‘Me Before You’ movie directed by Thea Sharrock. This study uses descriptive data analysis which describes a phenomenon and the main character in the movie. The results revealed seven characters comprising the esteem needs hierarchy: sensitive, open-minded, friendly, kind, confident, humble, and stubborn. The esteem needs hierarchy is the desire to have the need to be approved, valued, and recognized to have some self-esteem. This is striking in the movie because of the status of the character, Will Traynor as a lord, and Louisa Clark who is only a maid and has no superiority over Will in her life. The findings imply the personality of humans differ in their characters and psychology as shown from the esteem needs hierarchy in Will’s personality expressing the different types of characteristics.

scholarly journals Analysis of Enterprise Strategic Management Issues and Coping Strategies Based on Big Data Analysis

2020 ◽  
Vol 214 ◽  
pp. 01017
Author(s):  
Ziqi ZHONG ◽  
Wang Haoran ◽  
WANG JUNSHENG
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Strategic Management ◽  
Big Data Analysis ◽  
Practical Significance ◽  
Enterprise Management ◽  
Chinese Enterprises ◽  
Corporate Strategic Management ◽  
The Times ◽  
And Coping

Corporate strategic management is an important management mode that affects the development of an enterprise. It plays a very important role in the development of corporate strategic management. In recent years, information technology has developed rapidly, data is frequently updated, and huge amounts of data are generated every day. Social development has entered the era of big data, which makes enterprises face more opportunities and challenges in formulating strategies and operating management. In order to enable enterprises to adapt to the development of the times and obtain healthy and sound development results. This article analyzes and summarizes the new characteristics of enterprise management in the context of big data, and applies big data analysis technology to the environmental analysis of enterprises, and points out the problems of strategic management of enterprises in the context of big data. This article aims at the current problems and proposes specific strategies after in-depth research, which provides a reference basis for strategic management of enterprises in the era of big data. It has certain practical significance and can help Chinese enterprises quickly adapt to the new environment.

scholarly journals Controlling and the Use of UAVs as Important Components of Smart Logistical Operations

2021 ◽  
Vol 12 (1) ◽  
pp. 192-203
Author(s):  
Martin Holubčík ◽  
Jakub Soviar
Keyword(s):  
Decision Making ◽  
Internal State ◽  
Good Decision ◽  
Interdisciplinary Field ◽  
Different Types ◽  
Way Of Thinking ◽  
Set Up ◽  
Controlling Measures ◽  
A Company ◽  
The Way

Abstract Modern controlling is an interdisciplinary field that allows management to manage properly, thereby creating the basis for good decision-making. Logistics operations in smart companies need to be not only properly set up, but also properly controlled and improved. The purpose of the article is to analyze the controlling environment in a selected company and point out possible improvements in logistics activities and devices, with a view to preventing different types of problems. For this purpose, observations of the internal logistics processes in a selected company were used and quantified to assess its internal state. On the basis of the data, controlling measures are put forward to improve the management of the company’s logistics activities. The results of the research highlight the opportunities that exist through controlling activities to collect and analyze information about the logistics activities of a company. By doing so, employees can be given greater responsibility for the fulfilment of their tasks and contribute to the streamlining of logistics processes. For managers, the implementation of controlling represents a change in the way of thinking and managing a company.

scholarly journals Evaluation of Microbiological Quality of Vermicompost Prepared from Different Types of Organic Wastes using Eisenia fetida

2021 ◽  
Author(s):  
Rachna Kapila ◽  
Geeta Verma ◽  
Aparajita Sen ◽  
Arti Nigam
Keyword(s):  
Hydrolytic Enzymes ◽  
Microbiological Quality ◽  
Organic Wastes ◽  
Waste Products ◽  
Fertilizer Value ◽  
Different Types ◽  
Aspergillus Sp ◽  
Phosphate Solubilizing ◽  
Bacteria And Fungi ◽  
Rhizopus Sp

Background: Vermicomposting is the agricultural technique of conversion of organic wastes to a fertile product, which can result in better crop growth and production. However, even though earthworms are the main organisms participating in the process, the microbes associated with it also have an important role to play. These microbes degrade the waste products biochemically and are responsible of the conversion processes. Few studies are carried out on microbial diversity and related enzymes activities in the vermicompost prepared from different organic waste materials. Methods: In this paper, we isolated both bacteria and fungi from seven different types of vermicompost, using different selective media. We also studied the activity of hydrolytic enzymes that are associated with the isolated microbes.Result: It was observed that bacteria like Bacillus sp., Pseudomonas sp., Klebsiella sp., Staphylococcus aureus, Streptococcus, Micrococcus, Actinomycetes, Pigment producing Actinomycetes, Streptomyces, Azotobactor and fungi like Penicillium purpurogenum, Aspergillus sp., Alternaria alternata, Fusarium solani, Rhizopus sp., Mucor hiemalis, Myrothecium verrucaria etc. were present in our vermicompost preparations. The presence of nitrogen fixing bacteria, phosphate solubilizing microorganisms and PGPR indicated the good fertilizer value of the vermicompost samples. It was also observed that the diversity of microbes present supported significant levels of CMCase Exoglucanase, Xylanase, β-Glucosidase, Phosphatase and Urease activities.

scholarly journals Patterns of Patients’ Interactions With a Health Care Organization and Their Impacts on Health Quality Measurements: Protocol for a Retrospective Cohort Study (Preprint)

2018 ◽  
Author(s):  
Arriel Benis ◽  
Nissim Harel ◽  
Refael Barak Barkan ◽  
Einav Srulovici ◽  
Calanit Key
Keyword(s):  
Health Care ◽  
Data Analysis ◽  
Communication Channel ◽  
Clustering Algorithm ◽  
Health Care Organizations ◽  
Health Care Organization ◽  
Communication Channels ◽  
Care Organization ◽  
Care Providers ◽  
Different Types

BACKGROUND Data collected by health care organizations consist of medical information and documentation of interactions with patients through different communication channels. This enables the health care organization to measure various features of its performance such as activity, efficiency, adherence to a treatment, and different quality indicators. This information can be linked to sociodemographic, clinical, and communication data with the health care providers and administrative teams. Analyzing all these measurements together may provide insights into the different types of patient behaviors or more accurately to the different types of interactions patients have with the health care organizations. OBJECTIVE The primary aim of this study is to characterize usage profiles of the available communication channels with the health care organization. The main objective is to suggest new ways to encourage the usage of the most appropriate communication channel based on the patient’s profile. The first hypothesis is that the patient’s follow-up and clinical outcomes are influenced by the patient’s preferred communication channels with the health care organization. The second hypothesis is that the adoption of newly introduced communication channels between the patient and the health care organization is influenced by the patient’s sociodemographic or clinical profile. The third hypothesis is that the introduction of a new communication channel influences the usage of existing communication channels. METHODS All relevant data will be extracted from the Clalit Health Services data warehouse, the largest health care management organization in Israel. Data analysis process will use data mining approach as a process of discovering new knowledge and dealing with processing data extracted with statistical methods, machine learning algorithms, and information visualization tools. More specifically, we will mainly use the k-means clustering algorithm for discretization purposes and patients’ profile building, a hierarchical clustering algorithm, and heat maps for generating a visualization of the different communication profiles. In addition, patients’ interviews will be conducted to complement the information drawn from the data analysis phase with the aim of suggesting ways to optimize existing communication flows. RESULTS The project was funded in 2016. Data analysis is currently under way and the results are expected to be submitted for publication in 2019. Identification of patient profiles will allow the health care organization to improve its accessibility to patients and their engagement, which in turn will achieve a better treatment adherence, quality of care, and patient experience. CONCLUSIONS Defining solutions to increase patient accessibility to health care organization by matching the communication channels to the patient’s profile and to change the health care organization’s communication with the patient to a highly proactive one will increase the patient’s engagement according to his or her profile. INTERNATIONAL REGISTERED REPOR RR1-10.2196/10734

Health benefits of avicularin in the medicine against cancerous disorders and other complications: Biological importance, therapeutic benefit and analytical aspects of the medicine

2021 ◽  
Vol 17 ◽  
Author(s):  
Kanika Patel ◽  
Dinesh Kumar Patel
Keyword(s):  
Data Analysis ◽  
Scientific Data ◽  
Lespedeza Cuneata ◽  
Pharmacological Activities ◽  
Medicinal Uses ◽  
Biological Importance ◽  
Anti Cancer ◽  
Scientific Data Analysis ◽  
Different Types ◽  
Anti Inflammatory

Background: Herbal drugs and their derived phytochemicals have been used in medicine for the preparation of different types of pharmaceutical products. Pure phytochemicals including flavonoids, alkaloids and terpenoids have been used in medicine for the treatment of different types of human disorders including cancerous disorders. Flavonoids have been well known in medicine for their anti-viral, anti-bacterial, anti-inflammatory, anti-diabetic, anti-cancer, anti-aging and cardioprotective potential. Avicularin, also called quercetin-3-α-l-arabino furanoside, is a pure flavonoid, a class of phytochemicals, found to be present in Lindera erythrocarpa and Lespedeza cuneata. Avicularin has been well known in medicine for its anti-cancer properties. Methods: In the present work, scientific data of avicularin have been collected from different databases such as Google, PubMed, Science Direct, Google Scholar and Scopus and summarized with reference to medicinal importance, pharmacological activities and analytical aspects of avicularin. The present review summarized the health beneficial properties of avicularin in medicine through data analysis of various scientific research works. Further analytical progress in medicine for the qualitative and quantitative analysis of avicularin in medicine has been also discussed in the present work. Results: Scientific data analysis of different literature work revealed the biological importance of flavonoid class of phytochemical ‘avicularin’ in medicine. Scientific data analysis revealed that avicularin was found to be present in the Lindera erythrocarpa, Lespedeza cuneata, Rhododendron schlipenbachii and Psidium guajava. Avicularin has been well known in medicine for its anti-inflammatory, anti-allergic, anti-oxidant, anti-tumor and hepatoprotective activities. Avicularin protects cardiomyocytes and hepatocytes against oxidative stress-induced apoptosis and induces cytotoxicity in cancer lines and tumor tissues. Avicularin has positive influence on human hepatocellular carcinoma and inhibits intracellular lipid accumulation. The role of avicularin in rheumatoid arthritis has been also established with its underlying molecular mechanisms in the scientific work. Recent interest in avicularin has focused on pharmacological investigations for its anti-cancer activity in the medicine. Conclusion: The present work signified the biological importance of avicularin in medicine through its medicinal uses, pharmacological activities and analytical aspects in the biological system.

Appositive compounds in dialectal and sociolinguistic varieties of French

2020 ◽  
pp. 326-346
Author(s):  
Brigitte L. M. Bauer
Keyword(s):  
Twentieth Century ◽  
Data Analysis ◽  
Geographic Variation ◽  
Word Order ◽  
Word Formation ◽  
Underlying Structure ◽  
Formation Processes ◽  
Early Twentieth Century ◽  
Different Types

Over the last 100 years, appositive compounding—combining two nouns in apposition—has become one of the most productive word formation processes in French. In an attempt to account for this dramatic spread and building on existing diachronic research, this article examines the occurrence of appositive compounds in non-standard French during the twentieth century, in a number of Gallo-Romance dialects and in Poilu, a sociolect from the early twentieth century, bringing together historical, dialectal, and sociolinguistic data. Analysis includes the identification of the different types of appositive compound and their underlying structure. Moreover word order patterns and their potential geographic correlates will be investigated as well as the role of metaphors and metonymy. Data reflecting geographic variation and sociolinguistic stratification will thus help to determine what factors were at play in the expansion of appositive compounding in contemporary French.

Research on O2O Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique

2018 ◽  
Vol 13 (3) ◽  
pp. 73-84
Author(s):  
Kaiyan Han ◽  
Qin Wang
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Data Analysis ◽  
Joint Distribution ◽  
Big Data Analysis ◽  
Practical Significance ◽  
Hidden Variable ◽  
Optimal Value ◽  
Learning Technique ◽  
Sports Venues

In the era of big data, intelligent sports venues have a practical significance to provide personalized service for users and build up a platform for stadium management. This article proposes a new parallel big data promotion algorithm based on the latest achievements of big data analysis. The proposed algorithm calculates the optimal value by using the observed variables Y, the hidden variable data Z, the joint distribution P (Y, Z | θ) and distribution conditions P (Z | Y | θ). The experimental results show that the proposed algorithm has higher accuracy of big data analysis, and can serve the intelligent sports venues better.

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