scholarly journals The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype

2021 ◽  
Vol 4 ◽  
Author(s):  
Musa Abdulkareem ◽  
Steffen E. Petersen
Keyword(s):  
Data Collection ◽  
Disease Diagnosis ◽  
Training Algorithms ◽  
Biomedical Data ◽  
Limited Data ◽  
Data Accessibility ◽  
The World ◽  
Dedicated Team ◽  
Medical Data Collection

COVID-19 has created enormous suffering, affecting lives, and causing deaths. The ease with which this type of coronavirus can spread has exposed weaknesses of many healthcare systems around the world. Since its emergence, many governments, research communities, commercial enterprises, and other institutions and stakeholders around the world have been fighting in various ways to curb the spread of the disease. Science and technology have helped in the implementation of policies of many governments that are directed toward mitigating the impacts of the pandemic and in diagnosing and providing care for the disease. Recent technological tools, artificial intelligence (AI) tools in particular, have also been explored to track the spread of the coronavirus, identify patients with high mortality risk and diagnose patients for the disease. In this paper, areas where AI techniques are being used in the detection, diagnosis and epidemiological predictions, forecasting and social control for combating COVID-19 are discussed, highlighting areas of successful applications and underscoring issues that need to be addressed to achieve significant progress in battling COVID-19 and future pandemics. Several AI systems have been developed for diagnosing COVID-19 using medical imaging modalities such as chest CT and X-ray images. These AI systems mainly differ in their choices of the algorithms for image segmentation, classification and disease diagnosis. Other AI-based systems have focused on predicting mortality rate, long-term patient hospitalization and patient outcomes for COVID-19. AI has huge potential in the battle against the COVID-19 pandemic but successful practical deployments of these AI-based tools have so far been limited due to challenges such as limited data accessibility, the need for external evaluation of AI models, the lack of awareness of AI experts of the regulatory landscape governing the deployment of AI tools in healthcare, the need for clinicians and other experts to work with AI experts in a multidisciplinary context and the need to address public concerns over data collection, privacy, and protection. Having a dedicated team with expertise in medical data collection, privacy, access and sharing, using federated learning whereby AI scientists hand over training algorithms to the healthcare institutions to train models locally, and taking full advantage of biomedical data stored in biobanks can alleviate some of problems posed by these challenges. Addressing these challenges will ultimately accelerate the translation of AI research into practical and useful solutions for combating pandemics.

Using Environmental Databases to Develop Long-Term Stability Test Profiles: A Case Study

1994 ◽  
Vol 37 (3) ◽  
pp. 32-40
Author(s):  
Michelle Lindsley ◽  
Robert Anderson
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Stability Test ◽  
Limited Data ◽  
Term Stability ◽  
Long Term Stability ◽  
Environmental Profile ◽  
Test Profiles

This paper presents a case study example of developing a long-term stability test profile using environmental databases to formulate a life-cycle environmental profile. The methods for using the database within the life-cycle environmental profile are presented. Using the environmental database along with limited data-collection activities enabled the development of a realistic long-term stability test.

Long-term effects on political-administrative incompetence dissimulated in the miner code: The case of Cameroon

2020 ◽  
Vol 8 (3) ◽  
pp. 64-72
Author(s):  
Salomon Bissohong ◽  
Keyword(s):  
Data Collection ◽  
Self Determination ◽  
Long Term Effects ◽  
Dead Load ◽  
Social Actors ◽  
The Social ◽  
The World ◽  
Indirect Observation ◽  
Economic Vitality

If most countries in the world that are amongst the most influential can swagger because of their economic, military, socio-political, more over strategic powers, Cameroon’s case is quite different. In fact, the principal objective of this article remained that extractive wealth in which the State of Cameroon should draw its power, proof of its self-determination lags behind to open out. In this country precisely, our framework made up of the localities Dompta, Belel and Belabo, the mining code which could indicate this honorable profile remains unfortunately filled with impertinent with regard to locale population welfare. We also note a hypothesis of conscious absence of ingenuity of its politico-administrative bodies, resulting of inappropriate character of the laws witch contrast with the requirements needs for the residents of the aforesaid activities. The ethnomethodology of Harold Garfinkel which takes into account the « co-construction » the social actors are able for a better explanation of social by (the accountability), has been adopted as sociological method. The following instruments for data collection were used: documentary observations, (direct and indirect) observation, have become relevant for the realization of this work. The results obtained at the end of this sociological investigation revealed that after several decades of its use, and its lots of amendments, 1- this exclusive legal instrument of business has till date never produced the desired welfare. 2- The country illustrates more of itself instead as a burden, a dead load geostrategic to more than a title, in spite of its economic vitality and the pride it has. 3- The limelight the origins of these disagreements. Keywords: Cameroonian mining code, locale populations, ethnomethodology, inappropriate laws, the extractive field.

scholarly journals Alignment of biomedical data repositories with open, FAIR, citable and trust-worthy principles

2021 ◽  
Author(s):  
Fiona Murphy ◽  
Michael Bar-Sinai ◽  
Maryann E. Martone
Keyword(s):  
Open Source ◽  
Open Science ◽  
Scientific Data ◽  
Information Network ◽  
Biomedical Data ◽  
Data Repositories ◽  
The World ◽  
Key Aspects ◽  
Biomedical Community

AbstractIncreasing attention is being paid to the operation of biomedical data repositories in light of efforts to improve how scientific data is handled and made available for the long term. Simultaneously, groups around the world have been coming together to formalize principles that govern different aspects of open science and data sharing.The most well known are the FAIR data principles. These are joined by principles and practices that govern openness, citation, credit and good stewardship (trustworthiness). Together, these define a framework for data repositories to support Open, FAIR, Citable and Trustworthy (OFCT) data. Here we developed an instrument using the open source PolicyModels toolkit that attempts to operationalize key aspects of OFCT principles and applied the instrument to eight biomedical community repositories listed by the NIDDK Information Network (dkNET.org). The evaluation was performed through inspection of documentation and interaction with the sites. Overall, there was little explicit acknowledgement of any of the OFCT principles, although the majority of repositories provided at least some support for their tenets.

Thoughts on the Long-Term Strategy, Science and Democracy

2006 ◽  
pp. 4-19 ◽  
Author(s):  
L. Abalkin
Keyword(s):  
Strategy Development ◽  
Russian Science ◽  
Global Trends ◽  
The World ◽  
World Development ◽  
Crucial Condition

The article covers unified issues of the long-term strategy development, the role of science as well as democracy development in present-day Russia. The problems of budget proficit, the Stabilization Fund issues, implementation of the adopted national projects, an increasing role of regions in strengthening the integrity and prosperity of the country are analyzed. The author reveals that the protection of businessmen and citizens from the all-embracing power of bureaucrats is the crucial condition of democratization of the society. Global trends of the world development and expert functions of the Russian science are presented as well.

Development of Instruments for Assessing Linguistic Intelligence in Elementary School

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Dea Sinta Maharani ◽  
Otang Kurniaman
Keyword(s):  
Elementary Schools ◽  
Data Collection ◽  
Assessment Instrument ◽  
Fifth Grade ◽  
Is Research ◽  
Fifth Grade Students ◽  
Intelligence Assessment ◽  
The World ◽  
Semantics And Pragmatics ◽  
Homeroom Teachers

Linguistic intelligence is one of eight multiple intelligences that currently attracts attention in the world of education. Linguistic intelligence is a person's ability to speak both verbally and in writing, besides that people who have linguistic intelligence also master the components of linguistic intelligence which consists of phonology, syntax, semantics and pragmatics. The type of research used is research and development (R & D) with a 4D model. The subjects in this study were experts as validators, fifth grade students for trials and homeroom teachers in elementary schools. Data collection is done by giving a questionnaire to the validator. In this study the researchers concluded that the product of the developed linguistic intelligence assessment instrument was declared feasible to be used based on the results of validation of 86% with very feasible categories. The obstacle in developing the product of this instrument of linguistic intelligence assessment is the lack of knowledge of the school about the importance of linguistic intelligence for students in elementary schools. 

Coal's Persistence in the Capitalist World-Economy

2020 ◽  
Vol 6 (2) ◽  
pp. 194-221 ◽  
Author(s):  
Paul K. Gellert ◽  
Paul S. Ciccantell
Keyword(s):  
World Economy ◽  
Industrial Revolution ◽  
Energy Transition ◽  
Ecological Modernization ◽  
World Systems ◽  
Coal Consumption ◽  
The World ◽  
Capitalist World Economy ◽  
Capitalist World

Predominant analyses of energy offer insufficient theoretical and political-economic insight into the persistence of coal and other fossil fuels. The dominant narrative of coal powering the Industrial Revolution, and Great Britain's world dominance in the nineteenth century giving way to a U.S.- and oil-dominated twentieth century, is marred by teleological assumptions. The key assumption that a complete energy “transition” will occur leads some to conceive of a renewable-energy-dominated twenty-first century led by China. After critiquing the teleological assumptions of modernization, ecological modernization, energetics, and even world-systems analysis of energy “transition,” this paper offers a world-systems perspective on the “raw” materialism of coal. Examining the material characteristics of coal and the unequal structure of the world-economy, the paper uses long-term data from governmental and private sources to reveal the lack of transition as new sources of energy are added. The increases in coal consumption in China and India as they have ascended in the capitalist world-economy have more than offset the leveling-off and decline in some core nations. A true global peak and decline (let alone full substitution) in energy generally and coal specifically has never happened. The future need not repeat the past, but technical, policy, and movement approaches will not get far without addressing the structural imperatives of capitalist growth and the uneven power structures and processes of long-term change of the world-system.

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

Dakwah Melalui Pengajian Pasaran Kitab al-Hikam di Pondok Pesantren Azzainiyyah Sukabumi

2020 ◽  
Vol 5 (3) ◽  
pp. 227-248
Author(s):  
Asep Saepul Malik
Keyword(s):  
Data Collection ◽  
Research Method ◽  
Human Life ◽  
Boarding School ◽  
Teaching Material ◽  
Actual Situation ◽  
Book Market ◽  
Interview Techniques ◽  
The World

Kegiatan dakwah ialah suatu aktivitas yang mendorong umat manusia untuk memperkuat keyakinannya kepada Allah SWT dan agar umat yang belum memeluk ajaran Islam juga dapat memeluk ajaran agama Islam dengan menggunakan cara yang bijaksana melalui materi ajaran syariat Islam, supaya mereka mendapatkan kebahagiaan di dunia dan di akhirat. Pengajian pasaran kitab al-Hikam ialah suatu kegiatan dakwah yang di pimpin langsung oleh sesepuh pondok pesantren azzayniyyah ialah KH. Aang Abdullah Zein. Pengajian kitab al-Hikam ini di dalamnya membahas tentang permasalahan kehidupan manusia seperti masalah hati (qolbu), akhlak, iman, dan Islam. Tujuan dari penelitian ini ialah untuk mengetahui penyampayan dakwah melalui pengajian pasaran kitab al-Hikam di pondok pesantren azzayniyyah dan untuk mengetahui pesan-pesan dakwah yang ada di dalam kitab al-Hikam. Landasan teori yang digunakan ialah teori M. Munir tentang dakwah bil-Lisan al-Hal. Metode penelitian ini menggunakan deskriptif, ialah dengan menggambarkan keadaan sebenarnya melalui pengumpulan data yang dilakukan dengan menggunakan teknik wawancara, dokumentasi, dan kepustakaan. Hasil penelitian ini menunjukan bahwa dakwah melalui pengajian pasaran kitab al-Hikam yang di lakukan oleh KH. Aang Abdullah Zein di anggap cukup berhasil, karena jamaah memberikan respon yang baik atau positif dan jamaah yang hadir setiap bulan slalu meningkat atau lebih banyak.Da'wah activity is an activity that encourages mankind to strengthen his belief in Allah SWT and so that people who have not embraced the teachings of Islam can also embrace the teachings of Islam by using a wise way through Islamic teaching material, so that they get happiness in the world and the hereafter. Study of the market of the book al-Hikam is a missionary activity led directly by the azzayniyyah boarding school elders is KH. Aang Abdullah Zein. This study of al-Hikam in it discusses the problems of human life such as the problem of the heart (qolbu), morals, faith, and Islam.  Thep of this study is to determine the delivery of da'wah through the study of the market of the book al-Hikam in azzayniyyah boarding school and to find out the messages of da'wah in the book of al-Hikam. The cornerstone of the theory used is M. Munir's theory about the da'wah bil-Lisan al-Hal. This research method uses descriptive, is to describe the actual situation through data collection conducted using interview techniques, documentation, and literature. The results of this study indicate that preaching through the study of the book market al-Hikam conducted by KH. Aang Abdullah Zein was considered quite successful, because worshipers gave good or positive responses and worshipers who were present every month always increased or more.

Comparative Responses to Squats Completed with Free Weights and an Exoskeleton

2020 ◽  
Vol 4 (1) ◽  
pp. 51-63
Author(s):  
Peter Neuhaus ◽  
Chris Jumonville ◽  
Rachel A. Perry ◽  
Roman Edwards ◽  
Jake L. Martin ◽  
...  
Keyword(s):  
Data Collection ◽  
Female Athletes ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Actual Data ◽  
Limited Data ◽  
Comparative Similarity ◽  
Insufficient Amount ◽  
Force Data ◽  
Familiarization Session

AbstractTo assess the comparative similarity of squat data collected as they wore a robotic exoskeleton, female athletes (n=14) did two exercise bouts spaced 14 days apart. Data from their exoskeleton workout was compared to a session they did with free weights. Each squat workout entailed a four-set, four-repetition paradigm with 60-second rest periods. Sets for each workout involved progressively heavier (22.5, 34, 45.5, 57 kg) loads. The same physiological, perceptual, and exercise performance dependent variables were measured and collected from both workouts. Per dependent variable, Pearson correlation coefficients, t-tests, and Cohen's d effect size compared the degree of similarity between values obtained from the exoskeleton and free weight workouts. Results show peak O2, heart rate, and peak force data produced the least variability. In contrast, far more inter-workout variability was noted for peak velocity, peak power, and electromyography (EMG) values. Overall, an insufficient amount of comparative similarity exists for data collected from both workouts. Due to the limited data similarity, the exoskeleton does not exhibit an acceptable degree of validity. Likely the cause for the limited similarity was due to the brief amount of familiarization subjects had to the exoskeleton prior to actual data collection. A familiarization session that accustomed subjects to squats done with the exoskeleton prior to actual data collection may have considerably improved the validity of data obtained from that device.

Covid-19 and Mining industry

2020 ◽  
pp. 10-18 ◽  
Author(s):  
V.B. Kondratiev
Keyword(s):  
Mining Industry ◽  
Commodity Markets ◽  
Current Crisis ◽  
Mining Companies ◽  
The World ◽  
Commodity Demand ◽  
Long Term Impact

The COVID-19 pandemic has affected the commodity markets and mining industry around the world in different ways. Mining company’s operations have been hit by coronavirus outbreaks and government-mandated production stops. Demand for many commodities remains low. This paper examines the potential long-term impact of the COVID-19 pandemic on future commodity demand, mining prospects, as well as tactical and strategic steps by mining companies to overcome the current crisis quickly and effectively.

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