MTX in 32-bit Protected Mode

2021 ◽

Vol 5 (12) ◽

Author(s):

Dr.Anita K.Patil ◽

Dr.A.R. Laware

Keyword(s):

Big Data ◽

Data Analysis ◽

Climatic Factors ◽

Cost Effective ◽

Big Data Analysis ◽

Modern Agriculture ◽

Agriculture Industry ◽

The Face ◽

Smart Agriculture ◽

Protected Mode

Advance researches in the field of Internet of Things (IoT) are helping to make water management smarter and also used for optimizing consumption in the smart agriculture industry. Now days the development and research in Intelligent Smart Farming IoT based devices is turning the face of agriculture production in enhancing as well making it cost-effective and reducing wastage. To create environmental conditions suitable for the growth of animals and plants, modern agriculture that uses artificial techniques to change climatic factors such as temperature a highly efficient protected agriculture mode is used. To handle the increasing challenges of agricultural production, the complex agricultural ecosystems need to be better understood. Modern digital technology used for continuously monitoring the physical environment and producing large quantities of data in an unprecedented pace. For improving productivity the analysis of big data would enable farmers and companies to extract value from it. Moreover big data analysis is leading to advances in various industries; it has not yet been widely applied in agriculture. The objective of this paper is to perform a review on current studies and research works in agriculture which employs the recent practice of big data analysis, in order to solve various relevant problems.

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Protected Mode

Encyclopedia of Cryptography and Security ◽

10.1007/978-1-4419-5906-5_787 ◽

2011 ◽

pp. 987-987

Author(s):

Mohamed Omar Rayes

Keyword(s):

Protected Mode

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The Choice of Legal Protection Mode of Computer Software

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.2827 ◽

2014 ◽

Vol 926-930 ◽

pp. 2827-2831

Author(s):

Yu Xiang Li

Keyword(s):

Software Industry ◽

Information Age ◽

Computer Software ◽

Legal Protection ◽

Patent Law ◽

Human Society ◽

International Protection ◽

Protection Mode ◽

Protected Mode

Computer software is an information product [2]. Since the rising of the computer software industry during the 1960’s, the dispute into the best way to protect computer software has never stopped. Human society has already entered the information age, the development of the computer software industry is happening more rapidly than ever before. The application of using legal means to effectively protect computer software, is not only crucial to the development of the computer software industry, but also for national science and technology, the development of the economy is of great significance. This paper summarizes the present situation of international protection of computer software, based on the analysis of the quality of copyright law, patent law, and trade secret law to protect computer software and the analysis of the protected mode all over the world, put forward the author’s suggestions for the legal protection model.

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Symmetry-protected mode coupling near normal incidence for narrow-band transmission filtering in a dielectric grating

Physical Review B ◽

10.1103/physrevb.89.165111 ◽

2014 ◽

Vol 89 (16) ◽

Cited By ~ 80

Author(s):

J. M. Foley ◽

S. M. Young ◽

J. D. Phillips

Keyword(s):

Mode Coupling ◽

Narrow Band ◽

Normal Incidence ◽

Dielectric Grating ◽

Symmetry Protected ◽

Protected Mode

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Whose Virus - Whose Code

10.33767/osf.io/ejqks ◽

2021 ◽

Author(s):

Diego Gómez-Venegas

Keyword(s):

Media History ◽

Media Theory ◽

Old World ◽

Early Stages ◽

History Of ◽

Protected Mode

This essay attempts to trace the currents of anxieties and fears that overflowed the digital during the early stages of the Covid-19 pandemic. Traveling with such flows, this work aims to model the questions that, circulating silently in a sort of latent state before the catastrophe, now haunt us as brutally unveiled; namely, to which extent the digital mediations we have attached to ourselves, to our lives, in order to know and experience this world under a protected mode, now push us to witness that that world has expelled us? To which extent these digital mediations tell us that now we belong more to them, than to that old world of which we became blind almost a century ago? Through a post-hermeneutical approach, one that analyzes some of the digital traces left by the rise of this pandemic by discussing them through the lens of media history and media theory, this work seeks to sketch a short media history of loss; the loss of many, the loss of our-selves.

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Microbial Metabolic Genes Crucial for S. aureus Biofilms: An Insight From Re-analysis of Publicly Available Microarray Datasets

Frontiers in Microbiology ◽

10.3389/fmicb.2020.607002 ◽

2021 ◽

Vol 11 ◽

Author(s):

Rania Nassar ◽

Mahmood Hachim ◽

Mohannad Nassar ◽

Eleftherios G. Kaklamanos ◽

Mohamed Jamal ◽

...

Keyword(s):

Gene Expression ◽

Maturation Stage ◽

Metabolic Genes ◽

Human Infections ◽

Microarray Datasets ◽

Phenotypic Shift ◽

Hospital Acquired ◽

Protected Mode ◽

Upregulated Genes ◽

Insight Into

Bacterial biofilms are microbial lifestyles found in all environments. Up to 80% of human infections and 60–70% of hospital-acquired infections have a biofilm origin, with Staphylococcus aureus one of the leading causes of these infections. Microorganisms in biofilms exhibit significant antimicrobial resistance which poses important treatment challenges, hence the urgent need to identify novel antibiofilm strategies. Microbes form biofilms in response to various factors, and once these 3-dimentional structures form they are highly recalcitrant to removal. The switch from planktonic lifestyle to the biofilm protected mode of growth results in a phenotypic shift in the behavior of the microorganisms in terms of growth rate and gene expression. Given these changes, investigation of microbial gene expression and their modulation at different stages of biofilm maturation is needed to provide vital insight into the behavior of biofilm cells. In this study, we analyzed publicly available transcriptomic dataset of S. aureus biofilms at different stages of maturation to identify consistently upregulated genes irrespective of the biofilm maturation stage. Our reanalysis identified a total of 6 differentially expressed genes upregulated in both 48 and 144-h old S. aureus biofilms. Functional analysis revealed that these genes encode for proteins which play a role in key microbial metabolic pathways. However, these genes, as yet, are unrelated or fully studied in the context of biofilm. Moreover, the findings of this in silico work, suggest that these genes may represent potential novel targets for the development of more effective antibiofilm strategies against S. aureus biofilm-associated infections.

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