scholarly journals Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications

2020 ◽  
Vol 17 (10) ◽  
pp. 3730 ◽  
Author(s):  
Sina Shaffiee Haghshenas ◽  
Behrouz Pirouz ◽  
Sami Shaffiee Haghshenas ◽  
Behzad Pirouz ◽  
Patrizia Piro ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Infectious Disease ◽  
Relative Humidity ◽  
Cost Function ◽  
Selection Process ◽  
Environmental Parameters ◽  
Pso Algorithm ◽  
Data Set ◽  
De Algorithm

Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global crisis. Hence, the main aim of this study is to prioritize and analyze the role of certain environmental parameters. For this purpose, four cities in Italy were selected as a case study and some notable climate parameters—such as daily average temperature, relative humidity, wind speed—and an urban parameter, population density, were considered as input data set, with confirmed cases of COVID-19 being the output dataset. In this paper, two artificial intelligence techniques, including an artificial neural network (ANN) based on particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm, were used for prioritizing climate and urban parameters. The analysis is based on the feature selection process and then the obtained results from the proposed models compared to select the best one. Finally, the difference in cost function was about 0.0001 between the performances of the two models, hence, the two methods were not different in cost function, however, ANN-PSO was found to be better, because it reached to the desired precision level in lesser iterations than ANN-DE. In addition, the priority of two variables, urban parameter, and relative humidity, were the highest to predict the confirmed cases of COVID-19.

Changing Landscape of Recruitment Industry: A Study on the Impact of Artificial Intelligence on Eliminating Hiring Bias from Recruitment and Selection Process

2020 ◽  
Vol 17 (9) ◽  
pp. 4404-4407
Author(s):  
P. V. Raveendra ◽  
Y. M. Satish ◽  
Padmalini Singh
Keyword(s):  
Artificial Intelligence ◽  
Selection Process ◽  
Potential Solution ◽  
Review Of Literature ◽  
Unconscious Bias ◽  
The Unconscious ◽  
The Past ◽  
Recruitment And Selection ◽  
The Impact

An emerging trend of implementing Artificial Intelligence (AI) technologies can be seen in such domains that were solely dominated by humans. Today, AI is utilized extensively in HR department to assist and accelerate recruitment and selection process (Martin, F.R., 2019. Employers Are Now Using Artificial Intelligence To Stop Bias In Hiring. Retrieved September 22, 2019, from analyticsindiamag. com: https://analyticsindiamag.com/employersare-using-ai-stop-bias-hiring/.). This paper attempts to present the impact of AI on recruitment and selection process, incorporation of AI in eliminating unconscious biases during hiring. The study addresses the rising questions such as how AI has changed the landscape of recruitment industry, role of AI in recruitment and selection process, whether AI can help in eliminating the unconscious bias during recruitment and selection process. In order to uncover the understanding and figure out the potential solutions that AI brings to the HR process, an extensive review of literature has been carried out. It is concluded by analyzing the past contributions that AI offers potential solution to recruitment managers in optimizing the recruitment and selection process and is able to negate human biases prevalent during hiring. The future waits for augmented intelligence technologies offering better results taking over repetitive administrative jobs completely.

scholarly journals Electoral Rules or Electoral Leverage? Explaining Muslim Representation in England

2014 ◽  
Vol 66 (2) ◽  
pp. 229-263 ◽  
Author(s):  
Rafaela M. Dancygier
Keyword(s):  
Minority Groups ◽  
Selection Process ◽  
Political Representation ◽  
Electoral Institutions ◽  
Electoral Rules ◽  
Substantial Variation ◽  
Data Set ◽  
Muslim Population ◽  
Rule Change

Immigration has fundamentally altered the ethnic and religious makeup of most advanced democracies, but substantial variation is observed in the political representation of immigrant-origin minority groups across countries and cities. Though existing research has highlighted the role of electoral institutions in explaining minority representation, it is often difficult to isolate their effects across contexts. Focusing on Muslims in England and employing a new data set containing over 42,000 candidate-level observations, this article explains Muslim candidate election and selection. To do this, the author makes use of a rule change whereby a subset of localities switched from the use of multimember elections to the use of single-member elections. She finds that these electoral rules have no significant effect on the share of Muslims that gets elected but that they do influence the selection process: in a given election, Muslims are half as likely to be selected when only one seat is up for election as compared with when three seats are in play. Yet parties balance the slate across consecutive single-member elections, leading to similar results across systems. Further, the more undesirable the seat, the more likely it is to have a Muslim on the ticket, but this effect holds only in single-member elections, and it reverses as Muslims gain electoral leverage. Overall electoral leverage proves crucial: the effect of institutions and the potential for institution-based discrimination are conditional on the size and concentration of the local Muslim population and the votes it can deliver at both the election and the selection stages.

scholarly journals APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) TO ASSESS THE ROLE OF COVID-19 LOCKDOWN IN THE DOMAIN OF ESTUARINE ACIDIFICATION

2021 ◽  
Vol 16 (12) ◽  
Author(s):  
Sitangshu Roy
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Bay Of Bengal ◽  
Ground Zero ◽  
Data Set ◽  
Estuarine Acidification

The branch of computer science that deals with the simulation of variables with the help of a computer are termed Artificial Intelligence (AI). Here we attempt to predict the pace of acidification in the Digha coast of the Bay of Bengal based on available datasets of more than three decades. The ground zero observation on the data set reveals a decreasing trend of pH since 1984 with a sudden hike in premonsoon 2020, the period coinciding with the COVID 19 lockdown phase in the Indian sub-continent.

scholarly journals The effect of environmental parameters on the survival of airborne infectious agents

2009 ◽  
Vol 6 (suppl_6) ◽  
Author(s):  
Julian W. Tang
Keyword(s):  
Infectious Disease ◽  
Relative Humidity ◽  
Disease Transmission ◽  
Environmental Control ◽  
Environmental Parameters ◽  
Infectious Agents ◽  
Infectious Disease Transmission ◽  
Successful Transmission ◽  
Airborne Infection ◽  
Bacteria And Fungi

The successful transmission of infection via the airborne route relies on several factors, including the survival of the airborne pathogen in the environment as it travels between susceptible hosts. This review summarizes the various environmental factors (particularly temperature and relative humidity) that may affect the airborne survival of viruses, bacteria and fungi, with the aim of highlighting specific aspects of environmental control that may eventually enhance the aerosol or airborne infection control of infectious disease transmission within hospitals.

Two Short Tests Fail to Detect Vigilance Decrements

2001 ◽  
Vol 17 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Juan Botella ◽  
María José Contreras ◽  
Pei-Chun Shih ◽  
Víctor Rubio
Keyword(s):  
Individual Differences ◽  
High Performance ◽  
Selection Process ◽  
Vigilance Task ◽  
Air Traffic Controllers ◽  
Job Selection ◽  
Performance Deterioration ◽  
Short Test ◽  
Psychological Dimensions

Summary: Deterioration in performance associated with decreased ability to sustain attention may be found in long and tedious task sessions. The necessity for assessing a number of psychological dimensions in a single session often demands “short” tests capable of assessing individual differences in abilities such as vigilance and maintenance of high performance levels. In the present paper two tasks were selected as candidates for playing this role, the Abbreviated Vigilance Task (AVT) by Temple, Warm, Dember, LaGrange and Matthews (1996) and the Continuous Attention Test (CAT) by Tiplady (1992) . However, when applied to a sample of 829 candidates in a job-selection process for air-traffic controllers, neither of them showed discriminative capacity. In a second study, an extended version of the CAT was applied to a similar sample of 667 subjects, but also proved incapable of properly detecting individual differences. In short, at least in a selection context such as that studied here, neither of the tasks appeared appropriate for playing the role of a “short” test for discriminating individual differences in performance deterioration in sustained attention.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Artificial intelligence and the management transformation

2020 ◽  
Vol 16 (4) ◽  
pp. 600-612
Author(s):  
L.F. Nikulin ◽  
V.V. Velikorossov ◽  
S.A. Filin ◽  
A.B. Lanchakov
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Soft Power ◽  
Process Integration ◽  
Management Practice ◽  
Scientific School ◽  
Strategic Culture ◽  
Analysis And Synthesis ◽  
And Training

Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life. Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence. Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves. Results. We analyzed the scope of management as is and found that threats and global challenges escalate due to the advent of artificial intelligence. We provide the rationale for recognizing the strategic culture as the self-organizing system of business process integration. We suggest and substantiate the concept of soft power with reference to strategic culture, which should be raised, inter alia, through the scientific school of conflict studies. We give our recommendations on how management and training of managers should be improved in dealing with artificial intelligence as it evolves. The novelty hereof is that we trace trends in management transformation as the role of artificial intelligence evolves and growth in governance, production and social life. Conclusions and Relevance. Generic solutions are not very effective for the Russian management practice during the transition to the sixth and seventh waves of innovation. Any programming product represents artificial intelligence, which simulates a personality very well, though unable to substitute a manager in motivating, governing and interacting with people.

Exchange Spin Coupling from Gaussian Process Regression

2020 ◽  
Author(s):  
Marc Philipp Bahlke ◽  
Natnael Mogos ◽  
Jonny Proppe ◽  
Carmen Herrmann
Keyword(s):  
Machine Learning ◽  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Molecular Magnets ◽  
Molecular Structures ◽  
Spin Coupling ◽  
Structure Property ◽  
Data Set ◽  
Uncertainty Estimates

Heisenberg exchange spin coupling between metal centers is essential for describing and understanding the electronic structure of many molecular catalysts, metalloenzymes, and molecular magnets for potential application in information technology. We explore the machine-learnability of exchange spin coupling, which has not been studied yet. We employ Gaussian process regression since it can potentially deal with small training sets (as likely associated with the rather complex molecular structures required for exploring spin coupling) and since it provides uncertainty estimates (“error bars”) along with predicted values. We compare a range of descriptors and kernels for 257 small dicopper complexes and find that a simple descriptor based on chemical intuition, consisting only of copper-bridge angles and copper-copper distances, clearly outperforms several more sophisticated descriptors when it comes to extrapolating towards larger experimentally relevant complexes. Exchange spin coupling is similarly easy to learn as the polarizability, while learning dipole moments is much harder. The strength of the sophisticated descriptors lies in their ability to linearize structure-property relationships, to the point that a simple linear ridge regression performs just as well as the kernel-based machine-learning model for our small dicopper data set. The superior extrapolation performance of the simple descriptor is unique to exchange spin coupling, reinforcing the crucial role of choosing a suitable descriptor, and highlighting the interesting question of the role of chemical intuition vs. systematic or automated selection of features for machine learning in chemistry and material science.

Indian Lifestyle With Ayurveda Perspective During Covid-19 Pandemic

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1396-1399
Author(s):  
Disha Bhatero ◽  
Punam Sawarkar ◽  
Gaurav Sawarkar
Keyword(s):  
Infectious Disease ◽  
Disease Resistance ◽  
Prevalence Rate ◽  
Code Of Conduct ◽  
Google Scholar ◽  
Research Articles ◽  
Narrative Form ◽  
Healthy Individuals ◽  
Novel Coronavirus

Covid-19 is an infectious disease caused by novel Coronavirus. The overall prevalence rate of Covid-19 in Worldwide ( 9.94M )& it is (529 K) & (153 K) in India and Maharashtra. This situation can be considered under JanapadodhwansaVyadhi in Ayurveda. The primary purpose of Ayurveda  is the prevention of the disease in healthy individuals and eradication of disease, which are curable. Immunity comes under the Vyadhikshamatva. Further, Covid-19 infection is correlated with Vataj-Kaphaj Jwara. In Ayurveda Rasayana therapy to boost up immunity (Bala  & Vyadhikshamatva). The present study aimed to explore the concept of infectious disease and its prevention through different lifestyles described in Ayurveda. The above need-based information is collected from various Ayurvedicliterature (Laghutrayee, Bruhatryayi) along with numerous research articles from databases, such as PubMed, Google Scholar. All collected data were depicted in narrative form and tabular manner under different heads. Considering the above aspect in the prevention of Covid-19, the role of Ayurveda intervention may be proved more beneficial in Covid-19. Further, adoption of code of conduct may efficiently overcome the current pandemic situation by maintaining good immunity & implementation of Ahar, Vihar Vidhis, Dincharya, and Rutucharya& Sadvritta  for improving disease resistance.

Sign in / Sign up

Export Citation Format

Share Document