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Author(s):  
Shankar Shambhu ◽  
Deepika Koundal ◽  
Prasenjit Das ◽  
Chetan Sharma

COVID-19 pandemic has hit the world with such a force that the world's leading economies are finding it challenging to come out of it. Countries with the best medical facilities are even cannot handle the increasing number of cases and fatalities. This disease causes significant damage to the lungs and respiratory system of humans, leading to their death. Computed tomography (CT) images of the respiratory system are analyzed in the proposed work to classify the infected people with non-infected people. Deep learning binary classification algorithms have been applied, which have shown an accuracy of 86.9% on 746 CT images of chest having COVID-19 related symptoms.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael Buhagiar ◽  
Julien Pollack ◽  
Sharon Coyle

PurposeScholars are increasingly acknowledging the importance of conversations in the management of complex projects. Defining dialectics as “the art of purposeful conversation”, this paper aims to rationalise the somewhat disorganised field of dialectics by developing a categoreal scheme.Design/methodology/approachThe authors refer to the current state of research into the conversational aspects of complex projects, and examine the historical development of, and philosophical and scholarly commentary on, the dialectical method.FindingsThe categories the authors propose are the Socratic, Conversational, Fichtean and Peircean. They differ in relation to the subject matter of the dialectic; their vulnerability to environmental influences; the degree of structure they require for optimal performance; and the situations in which they might most profitably be applied.Research limitations/implicationsA single categoreal scheme is rarely the last word, and the authors invite other scholars to explore the field in a similar way.Practical implicationsThe scheme proposed here is intended to enhance the project manager's approach to conversations, by referring to the specific virtues and limitations of each of the categories.Social implicationsThe informed use of dialectics may help to ameliorate the significant damage done to organisations and economies around the world by failed and underperforming projects.Originality/valueThe authors present the first categorisation of the field, with the aim of equipping the practitioner to think about dialectical approaches in a more systematic way.


2022 ◽  
Vol 14 (2) ◽  
pp. 264
Author(s):  
Dawei Wang ◽  
Jianhua Wan ◽  
Shanwei Liu ◽  
Yanlong Chen ◽  
Muhammad Yasir ◽  
...  

Oil spill pollution at sea causes significant damage to marine ecosystems. Quad-polarimetric Synthetic Aperture Radar (SAR) has become an essential technology since it can provide polarization features for marine oil spill detection. Using deep learning models based on polarimetric features, oil spill detection can be achieved. However, there is insufficient feature extraction due to model depth, small reception field lend due to loss of target information, and fixed hyperparameter for models. The effect of oil spill detection is still incomplete or misclassified. To solve the above problems, we propose an improved deep learning model named BO-DRNet. The model can obtain a more sufficiently and fuller feature by ResNet-18 as the backbone in encoder of DeepLabv3+, and Bayesian Optimization (BO) was used to optimize the model’s hyperparameters. Experiments were conducted based on ten prominent polarimetric features were extracted from three quad-polarimetric SAR images obtained by RADARSAT-2. Experimental results show that compared with other deep learning models, BO-DRNet performs best with a mean accuracy of 74.69% and a mean dice of 0.8551. This paper provides a valuable tool to manage upcoming disasters effectively.


Author(s):  
D. Panici ◽  
P. Kripakaran

The transport and accumulation of floating large wood (LW) debris at bridges can pose a major risk to their structural integrity. The impact forces arising from collisions of LW can cause significant damage to piers, and accumulations can constrict the flow and exacerbate scour at piers and abutments. Furthermore, LW accumulations increase afflux upstream of bridges, heightening flood risk for adjoining areas. Consequently, there is a need for a practical and rapid approach to identify bridges prone to LW-related hazards and to prevent the formation of LW accumulations. This paper proposes an approach based on satellite imagery to (i) quantify the risk of LW at a bridge structure and (ii) locate a LW-trapping system upstream of the identified vulnerable bridges to dramatically reduce risks of LW-related damage. This methodology is applied to major rivers in Devon (UK). 26 bridges were identified as at risk to LW with the majority prone to LW jams. Furthermore, satellite imagery was used to identify 12 locations for the potential installation of LW trapping systems for bridge protection. The results reported in this paper show that satellite imagery is a powerful tool for the rapid assessment and plan of mitigation measures for bridges at risk to LW.


2021 ◽  
Vol 12 (4) ◽  
Author(s):  
Anna Alekseeva ◽  
Marina Kolosovich ◽  
Natalia Sysolina

Various psychoactive substances that are in illegal circulation cause significant damage to the health of the population. Discussions among scientists about measures to reduce the level of drug use have not been stopped for many decades. The main goal of all researches is to search for effective anti-narcotic drugs and the implementation into practice of new technologies to counter drug crime. Following the scientists, a legislator tries to choose the most optimal designs that allow an objective and comprehensive assessment of the actions of violators, taking into account the need to save repressive measures. In the first edition, the current Criminal Code of the Russian Federation allowed the use of compulsory medical measures to persons with an established diagnosis of "drug addiction". Later, the measures of compulsory treatment were recognized as inhumane and abolished. They were replaced by the institution of imposing by the court on a drug addict the obligation to undergo treatment for drug addiction, medical and (or) social rehabilitation. As an interim measure, a legislator in 2013 put into effect Article 6.9.1 of the Code of Administrative Offences of the Russian Federation, which provides liability for evading a drug addict from the duty imposed by the court. Currently, a legislator offers to tighten the responsibility of a drug addict for evading treatment and rehabilitation by introducing an administrative prejudice. The conducted research has shown that it is possible to achieve the desired result by other means.


2021 ◽  
Vol 19 (2) ◽  
pp. 136
Author(s):  
Maimunah Maimunah ◽  
Abdul Helim ◽  
Noor Aina ◽  
Rabiatul Adawiyah

This research is motivated by many applications for dispensation for Marriage after implementing the latest law related to the age limit for Marriage. This study examines judges' considerations from both normative and social aspects so that this dispensation application can be accepted. This research focuses on 1) how does the Judge review the application for a marriage dispensation after enacting Law Number 16 of 2019 at the Palangkaraya Religious Court? Religion of Palangkaraya?. This empirical research uses a statute approach and Islamic law. The research subjects are 5 (five) judges and 2 (two) informants who are substitute clerks at the Palangkaraya Religious Court. Data were collected through observation, interviews, documentation and analyzed through Islamic Laws and normative. The results of this study indicate that judges in deciding cases of marital dispensation do not only look at the Completeness of the legal administration. But also from a sociological perspective, granting a dispensation application sees aspects of the benefits that must be obtained to avoid more significant damage. The implication is that changes of the law related to marriage dispensation are increasing because it becomes a procedure to complete the marriage administration for underage couples in the provisions of the law.


2021 ◽  
Vol 24 (8) ◽  
pp. 37-46
Author(s):  
Vira Moroz ◽  
Yurii Nykytiuk

Recently, there has been a massive drying of conifers all over the world. In North America and Siberia, there are millions of hectares of shrunken plantings; in Europe, pines and firs have been drying up over the past two decades. Furthermore, considerable damage is caused to woody plants by phyto-pest and phyto-diseases, since mass reproduction of Ips typographus Linnaeus, Ips acuminatus Gyllenhal has been observed in Europe in recent years, Dendroctonus micans Kud – in North America, Polygraphus proximus Blandford – in East Asia. Nematodes also cause significant damage to pine forests. Among phyto-diseases, Heterobasidion annosum (Fr.) Bref. harmfully affects Pinus sylvestris L. The appearance of foci of shrunken trees in different parts of the globe indicates the global nature of processes associated with cyclical planetary processes and climate change. This study describes climate changes in the research region for 1961-2020. According to the analysis, it was found that for 2009-2020, considerable damage to pine plantations in Zhytomyr Polissia is caused among needle-eating insects – Panolis flammea Denis & Schiffermuller, Diprion pini L., Neodiprion sertifer Geoffroy; among other pests – Aradus cinnamomeus Panz, Dendrolimus pini L., Bupalus piniarius L. The greatest harmful effect that pineries have recently sustained has been caused by Diprion pini L. It was also found out that among phyto-diseases suffered by the pine forests, significant damage has been done by Heterobasidion annosum (Fr.) Bref., with the damaged area of 13.0-14.2 thousand hectares. Hydrothermal analysis was performed for 2009-2020. The influence of solar activity on the number of phyto-pest and diseases is analysed. This paper provides the estimate of the amount of CO2 emissions is given for 2009-2020. It was found that since 2014, the amount of carbon dioxide emissions has decreased from 1.5 million tonnes to 0.6 million tonnes. Correlation analysis of all indicators indicated a high mutual influence between the area of trees damaged by insect pest, root sponge, the Wolf number, and CO2 emissions to the environment. Mathematical dependences are obtained to predict the influence of the W number on damage to pineries by forest pests and diseases in the conditions of Zhytomyr Polissia


Author(s):  
Ramandeep Kaur ◽  
Joginder Singh

Cypermethrin insecticide is widely used to prevent and control pest and crop diseases though, its residues have caused significant damage to the environment and living organisms. Microbial remediation becomes a popular approach to counter the toxicity of cypermethrin in both aquatic as well as terrestrial life. Cypermethrin can be effectively degraded to nontoxic compounds by bacterial and fungal strains. Various bacterial and fungal strains such as Ochrobactrum lupini DG-S-01, Bacillus sp. strain SG2, Azoarcus indigens strain HZ5, Streptomyces aureus strain HP-S-01, and Aspergillus oryzae M-4 are used for the cypermethrin degradation. Extensive usage of cypermethrin has caused problems such as surface water contamination, reduced fertility of the soil, detrimental effects on soil microbiota and non-targeted species. Due to environmental concerns associated with the cypermethrin in groundwater and food products, there is a crucial need to develop economical, rapid, and reliable techniques that can be used for field applications. An in-depth understanding of cypermethrin is explored in this review paper and possible solutions to mitigate its environmental toxicity are suggested.


Author(s):  
A.V. Rybakov ◽  
◽  
E.V. Ivanov ◽  
A.V. Dmitriev ◽  
A.E. Borisov ◽  
...  

The paper presents an analysis of the parameter obtained by remote sensing of the planet Earth, the normalized vegetation index (NDVI index). The results of assessing the impact of the index on the occurrence of fires in a certain area are presented. Using the example of statistical data for the Krasnoyarsk Territory, the index values for two periods of spring and summer were obtained, and the influence of NDVI values on the change in the probability of a forest fire was estimated. Static data on the index were selected from the «data lake» of the Ministry of Emergency Situations of Russia, data is collected from 2014 to the present, and data on thermal points from 2012. The consequences after wildfires will cause significant damage to forestry in Russia, and to the environment as a whole. Therefore, the allocation of previously known areas with a high probability of a natural fire will not only improve preventive measures for prevention, but will also make it possible to prevent most of the consequences. This article considers one of the parameters obtained by remote sensing of the Earth NDVI of its change before and after the event in question (natural fire).


2021 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Hye-young Son ◽  
Hyeon-dong Roh ◽  
Gi-yong Kim ◽  
Sang-jin Oh ◽  
Jin Choi ◽  
...  

Considering the nature of marine accidents, even a single accident can result in significant damage to the environment and property, as well as loss of life. Therefore, the initial response should be rapid and accurate, and various decision support systems have been developed to achieve this. Research on simulating progressive flooding on board immediately after an accident is being actively conducted, but this requires high levels of computing power. In this study, a methodology for converting simulated ship motion data into a ship motion database is presented. The model of a training ship from the Korea Institute of Maritime and Fisheries Technology and KRISO in-house code SMTP was used for ship motion computations. The short-time Fourier transform was used to convert time-series motion data into a spectrogram motion database. A methodology for deriving a predicted location of the damage center is presented. The candidate locations of the damage centers were obtained by comparing the root mean square error values of the ship motion database from the simulation and real-time ship motion data. Finally, a probability function was suggested to confirm the predicted location of the damage center. Using 100 randomly selected test cases, our method showed 95% accuracy.


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