Lot Of Instances Research Articles

Building an Equitable Future Through Data Disaggregation.

Building an Equitable Future Through Data Disaggregation.

Covid19 and Pneumonia Detection Using Deep-Leaning

Abstract: It became clear that humanity must learn to live with and adapt to any pandemic such has Covid - 19 , especially in light of the fact that the vaccines currently in development do not prevent the infection but only lessen the intensity of the symptoms. It is crucial to diagnose both pneumonia and COVID-19 since they both have an impact on the lungs. In this study, the automatic detection of the Coronavirus disease was carried out using a data-set of X-ray pictures from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal occurrences.The current approach for detection and diagnosis of COVID-19 is the RT-PCR and rapid test as known rapidtest is not so effective and RT-PCR is time-consuming and, in lots of instances, no longer less expensive as a consequence the development of new low-price rapid tests of diagnostic gear to aid medical evaluation is needed. The study’s objective is to assess the effectiveness of cutting- edge convolutional neural network designs for medical picture categorization that have been recently suggested. In particular, the Transfer Learning method was utilised. Transfer learning makes it possible to detect many problems in small collectionsof medical image data, frequently with outstanding outcomes. The data sets used in this investigation are a collection of 5144 X-ray images, including 460 images with verified Covid-19 illness,3418 photos with confirmed common bacterial pneumonia, and 1266 images of healthy conditions. The information was gatheredfrom X-ray pictures that were accessible in public medical repositories. According to the data, Deep Learning combined with X-ray imaging may be able to identify important biomarkers for the Covid-19 disease. CNN achieved the highest accuracy99.49% and specificity, followed by VGG-16 at 67.19% and densenet at 91.94

IMPACT OF MEDIA ON RURAL DEVELOPMENT: ANALYZING THE TRANSFORMATION IN SIROHI DISTRICT IN THE 21ST CENTURY

Media has been considered as the most powerful and effective tool of imparting knowledge and social awareness owing to the fast pace of life, where rapid changes are taking place through urbanization and industrialization. However, a lot of instances have suggested that sometimes the media can act as a biased institution where they have the authority to transmit false information and discriminatory representations of certain sections of the society, especially the rural areas. Media has been considered as a tool of the powerful and the privileged who utilize it according to their own preferences and benefits. Thus, this review paper aims at examining the role of media in the development of rural places, with special emphasis on the transformation of the Sirohi district. The paper takes into account various media strategies and the impact it has on the minds of the local residents.

Why copied or transposed safety, health and well-being legislation and standards are impracticable and irrelevant in developing economies

This study examines why some adopted, copied or transposed health, safety and well-being (HSW) legislation, standards and measures (LSMs) from developed countries are impracticable and irrelevant in developing and emerging countries (DECs). This stems from the little or no attention that this area has received. The critical review and analysis of relevant literature and selected HSW legislation and regulatory approaches shows that there are no enabling environments for some of the adopted or copied LSMs which are not compatible with the contexts of DECs such as Nigeria. Most of them are developed based on pre-existing and functional environments, which are lacking in the DECs of which one is the adequate level of HSW awareness. The study also shows that the pre-requisite parties for the effective implementation of the LSMs are lacking in a lot of instances. This is exacerbated by one of the main barriers – the regulatory approach and rules, for example the goal-based regulation which is the foundation of the adopted LSMs. While the individual efforts in relation to the copying and adoption of the LSMs are applauded, the implications of the cultural and technology differences are evident. Typically, in developed contexts, construction operations are mainly mechanized but are labour-intensive in DECs. While context-based LSMs are recommended, they should be informed by adequate research. Although a stepping-stone in exploring the topic, the study offers insight into the implications of non-context based LSMs in DECs but empirical studies are recommended.

A Personalized Ontology Model For Web Mining Using Instance Matching

In rapid growth of internet, the amount of web information gathering becomes a challenging point for all users. Many existing retrieval systems have been developed to attempt to satisfy this problem. But still there is no complete solution to the problem. Ontology describes and formalizes standardized representation of knowledge as a set of concepts and the relationship between those concepts. In personalized web information gathering ontology is also used to represent the user profiles. For representing user profiles many existing models have been provided knowledge from either global or local knowledge base. The user background knowledge can be better discovered if we integrate global and local analysis. The proposed system emphasizes the specific semantic relation in one computational model. Ontology contains lots of instances. Automatically instance matching has become the fundamental issue. Instance matching approach is used to present based on discriminative property value. Ontology model in domain specific system with instance

A LUCID PORTRAYAL OF CONSUMMATE LIFE IN ASHALI VARMA’S -THE VICTORIA CROSS

Army is one of the noblest professions. Army men usually strive for the welfare of our nation. They should be adulated for their unique sacrifice. “The Victoria Cross” throws light on the life of a unique army officer. It is a biography penned by Ashali Varma who might have felt completely satisfied with her portrayal of her parent’s glorious virtues. She has depicted PremBhagat and Mohini who could lead a meaningful life by exchanging love perfectly and exhibiting warmth to the people who have sought succour. Prem was able to attract many people with his humanness. So, he exhibited empathy, gregariousness, veracity and tenacity to make his every endeavour successful. He never pussyfooted. He was down-to- earth. He was true to the adages “The rarer action is in virtue than in vengeance” and “To err is human; to forgive divine”
 His wife was Mohini. She was an ideal wife to justify a maxim: “There is a woman behind every successful man”. She could shoulder the domestic burden confidently. Her love to her husband is obvious: “I love you more than anything else in this world” (p.no.39). One can find a lot of instances in which Mohini has involved herself voluntarily to buttress PremBhagat even in official affair. She demonstrated her hospitality impeccably. Hence, the book “The Victoria Cross” has been written in eulogy of PremBhagat and Mohini who have proved to be an epitome of a couple.

Islamic Personality Model: A Conceptual Framework

Abstract The field of personality or individual psychology has attracted a lot of researchers around the world to devote their efforts in conceptualizing, assessing, and establishing the nomological nets of various personality models and theories. However, some models and theories of personality are limited in their utilization. For example, there are a lot of instances where researchers are unable to derive a clear factor structure when applying the Big Five Personality Traits in their research works due to cultural and values incompatibility. Therefore, this paper attempts to conceptualize and develop a measure of Islamic Personality Model that addresses the issue of incompatibility through the application of both qualitative and quantitative research design. The proposed model will contribute all communities in addressing the role of Islamic Personality in psychology related fields.

On the analysis of time-aware protocols in universal composability framework

We consider the analysis of time-aware cryptographic protocols in the universal composability (UC) framework (Canetti in 2000). The tasks we consider are the timeliness of messages within an instance as well as the time of validity of cryptographic credentials where the lifetime of time stamps overlaps lots of instances. We point out that the UC analysis of time-aware protocols with global access to real time clock cannot be carried out directly within the standard model. For the resolution of the corresponding problem, we considered two ways: one is the introduction of an auxiliary timing oracle into the ideal system, while the other consists of two time models: a quantized real time source and an abstract "random-time" source, and we show an essential equivalence between them. The time models provide not only theoretical but also practical benefits.

Unrelated parallel machine scheduling problem with energy and tardiness cost

With pervasive applications of new information technology, a larger number of manufacturing big data is generated. This paper considers the unrelated parallel scheduling problem within the background of “big data and cloud technology for manufacturing.” Traditional unrelated parallel problem has been extensively investigated, and the main objective has been to improve production efficiency. With regard to the environmental concern, there has been limited literature. Therefore, this paper considers an unrelated parallel machine scheduling problem with the objective of minimization to the total tardiness and energy consumption where the energy consumption on each machine is also unrelated parallel. First, we give a mathematical model of this problem. Second, ten heuristic algorithms are, respectively, proposed based on the priority rules, the energy consumption, and the combinational rules due to the complexity of this problem. Finally, in order to test the performance of these ten algorithms, computational experiments are designed. In the computational experiments, lots of instances are generated, and the computational results indicate that the algorithms based on the combinational rules outperform the ones based on the priority rules and energy consumption, with respect to the unrelated parallel scheduling problem proposed in this paper.

AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine

It is well known that in supervised learning, active learning could effectively decrease the complexity of training instances without obvious loss of the classification performance. Generally, active learning is applied in the scenario that lots of instances are easy to be acquired, but labeling them is expensive and/or time-consuming. In this study, we try to implement active learning by using extreme learning machine (ELM) classifier based on three reasons as follows: (1) ELM has light computational costs, (2) ELM has strong generalization ability which is even comparable with support vector machine (SVM) and (3) ELM could be directly applied on both binary-class and multiclass problems. Specifically, an active learning algorithm based on ELM classifier named AL-ELM is proposed in this paper. During active learning, AL-ELM estimates the uncertainty of each unlabeled instance by creating a mapping relation between the actual outputs of the instance in ELM and the approximated membership probability of the same instance. In other words, ELM is converted as the equivalent Bayes classifier. On each iteration, those most uncertain instances are extracted and labeled to promote the quality of classification model. The learning procedure stops until it satisfies a pre-designed criterion. Experimental results on 20 benchmark data sets show that AL-ELM is better than or at least comparable to several state-of-the-art uncertainty-based active learning algorithms. Also, in contrast with several other algorithms, AL-ELM could effectively decrease the running time of learning procedure.

Approximation algorithms for the three-stage flexible flow shop problem with mid group constraint

This paper considers a three-stage flexible flow shop scheduling problem, where the jobs have the group constraint at the second stage and the three stages consist of unrelated parallel machines. Because of the complexity of this problem, approximation algorithms are more appropriate to solve it. Firstly, we propose ten heuristic algorithms based on the idea of combined algorithms proposed by Soewandi and Elmaghraby (2001) and give their time complexities. Secondly, since there is no reference on the worst-case performance ratios of RDM, SP.H1 and SP.H2 algorithms for the unrelated parallel machines, we provide the worst-case performance ratios of these three algorithms and then give the worst-case performance ratios of the nine algorithms proposed in this paper. Finally, to evaluate the performance of the ten algorithms, four lower bounds of this problem are proposed in Appendix A and a computational experiment is designed, where lots of instances are generated and each algorithm is run with every instance. Experimental results indicate that the performances of ten heuristic algorithms are contingent on different configurations and SP.JH-MJ algorithm generally outperforms the others with respect to the three-stage flexible flow shop scheduling problem addressed in this paper.

Conceptualizing the Islamic Personality Model

The field of personality or individual psychology has attracted a lot of researchers around the world to devote their efforts in conceptualizing, assessing, and establishing the nomological nets of various personality models and theories. However, some models and theories of personality are limited in their utilization. For example, there are a lot of instances where researchers are unable to derive a clear factor structure when applying the Big Five Personality Traits in their research works due to cultural and values incompatibility. Therefore, this paper attempts to conceptualize and develop a measure of Islamic Personality Model that addresses the issue of incompatibility through the application of both qualitative and quantitative research design. The outcome of this study is to produce a model and measure of Islamic Personality that will benefit the community of researchers in general and Islamic researchers and students, in particular.

An automatic algorithm selection approach for the multi-mode resource-constrained project scheduling problem

This paper investigates the construction of an automatic algorithm selection tool for the multi-mode resource-constrained project scheduling problem (MRCPSP). The research described relies on the notion of empirical hardness models. These models map problem instance features onto the performance of an algorithm. Using such models, the performance of a set of algorithms can be predicted. Based on these predictions, one can automatically select the algorithm that is expected to perform best given the available computing resources. The idea is to combine different algorithms in a super-algorithm that performs better than any of the components individually. We apply this strategy to the classic problem of project scheduling with multiple execution modes. We show that we can indeed significantly improve on the performance of state-of-the-art algorithms when evaluated on a set of unseen instances. This becomes important when lots of instances have to be solved consecutively. Many state-of-the-art algorithms perform very well on a majority of benchmark instances, while performing worse on a smaller set of instances. The performance of one algorithm can be very different on a set of instances while another algorithm sees no difference in performance at all. Knowing in advance, without using scarce computational resources, which algorithm to run on a certain problem instance, can significantly improve the total overall performance.

Research on Concept System of Rotation-Translation Symmetry in Mechanical Systems

Rotation-translation symmetry is grouped by rotation symmetry and translation symmetry, and is a common kind of structure in transmission mechanism, change mechanism, transport mechanism, supply mechanism and so on. Based on the research on a lot of instances, and referring the concept systems of rotation symmetry and translation symmetry, the concept system of mechanical rotation-translation symmetry was established by taking the difference of symmetry benchmarks, the directivity and the alternations of symmetry components as standards. Accurate instances were used for explaining and verifying the concept system. The further researches on the application laws of rotation-translation symmetry can benefit from this result.

Research on Existences and Concept System of Reversal Symmetry in Mechanical Systems

Reversal symmetry is one kind of mechanical static structure symmetry, grouped by rotation symmetry and mirror symmetry, widely exists in structures of mechanical products. On the basis of research on the concept systems of rotation symmetry and mirror symmetry and based on analysis of a lot of instances, the concept system of reversal symmetry was established by taking the independence of symmetry components, the directivity of symmetry components, the rotary type of symmetry components and the dimensionality of symmetry components as standards. Accurate instances were particularized to explaining and verifying the concept system. The further research of the application laws of reversal symmetry can benefit from this research result.

Research on Concept System of Mechanical Scaling-Translation Symmetry

Scaling-translation symmetry is combined by translation symmetry and scaling symmetry, it widely exists in mechanical systems, and plays an important role in realizing the technical, economic and social performances of mechanical products. Based on the concept system of translation symmetry, and according to the research on a lot of instances, the concept system of scaling-translation symmetry classified by the directivity and alternations of symmetry components, the dimensionality and closed circle of symmetry benchmark, and the variable type of scaling was established. The concept system can completely contain all kinds of existence of scaling-rotation symmetry in mechanical systems, and can provide a theoretical basis for the further research on the application of scaling-translation symmetry in mechanical systems.

Variability aware SVM macromodel based design centering of analog circuits

Design centering is the term used for a procedure of obtaining enhanced parametric yield of a circuit despite the variations in device and design parameters. The process variability in nanometer regimes manifest into variations in these devices and design parameters. During design space exploration of analog circuits, a methodology to find design-instances with better yield is necessitated; this would ensure that the circuit will function as per specifications after fabrication, even with impact of statistical variations. We need to evaluate circuit performance for a given instance of a circuit-design identified by possessing a set of nominal values of device-design parameters. A lot of instances need be searched, having different sizes for a given circuit topology. HSPICE is very compute intensive. Instead, we employ macromodeling approach for analog circuits based on support vector machine (SVM), which enables efficient evaluation of performance of such circuits of different sizing during yield optimization loops. These performance macromodels are found to be as accurate as SPICE and at the same time, time-efficient for use in sizing of analog circuits with optimal yield. Process variability aware SVM macromodels are first trained and then used inside the Genetic algorithm loops for design centering of different circuits, subsequently resulting into sized-circuit instances having optimal yield. Post design centering, the sized circuits will be able to provide functions as per specifications upon fabrication. The application of this design centering approach as process variability analysis tool is illustrated on various circuits e.g. two stage op amp, voltage controlled oscillator and mixer circuit with layouts drawn into 90 nm UMC technology (Euro-practice).

Стихотворение Тютчева «Весь день она лежала в забытьи…» и его два венгерских перевода

The paper aims at a linguistically based analysis of one of the pearls of Russian love lyrics written by Tyutchev, and of its two Hungarian translations. Master of small forms, the poet concentrates his poetic devices (ambiguities, antitheses, repetitions, etc.) to a high degree, and attains to a harmonious fusion of different stylistic traits. The translation of the poem made by Lőrinc Szabo, a well-known Hungarian poet of the 20th century is handicapped by the use of an intermediate text, and some elements of his own poetical vision here and there outweigh essential features of the original. The translation of Arpad Galgoczy, one of the best contemporary translators of Russian poetry, comes in a lot of instances more close to the original.

Legislation and Regulation

In most civil law countries legislation is the single most important medium through which law is expressed. In order to understand the concept of legislation, and the different meanings and uses it has nowadays, one needs to understand the functions legislation performs in modern states. To do just that it is important to understand the difference between the concept of legislation and regulation. With ‘legislation’ we mean the authoritative, and constitutionally controlled form in which law is cast and the procedure leading up to the enactment of it (the decision). With regulation we mean a public intervention in a market or in society. Regulation is an instrument of governance (not governance itself). Legislation and regulation coincide in a lot of instances. A lot of regulation is cast in the form of legislation. By this regulation acquires the power of law, legitimacy and other effects. But not all regulation needs to be cast in the form of legislation (think of so-called policy rules), and not all legislation is regulation (e.g. legislation establishing an advisory body for the government). Legislation and regulation have become ever more important as means of governance and vehicles of rights, entitlements and legitimacy – we live our lives in regulatory states. The quality of legislation and regulation therefor is of the utmost importance. The chapter argues that is important to take due notice of the difference between legislation and regulation and the different functions the perform if one wants to put policies and instruments in place to improve the overall quality of legislation of regulation, as the case may be.