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Chicago's Pragmatic Planners: American Sociology and the Myth of Community
In: Social science history: the official journal of the Social Science History Association, Band 25, Heft 2, S. 275-317
ISSN: 1527-8034
A Distance Vector Hop and Differential Evolution based Interception Strategy for detecting Cross Border Infiltration in Underground Tunnel
In: Defence science journal: DSJ, Band 72, Heft 3, S. 392-401
ISSN: 0011-748X
Securing the external border of a nation through potential surveillance is considered to be highly essential for safeguarding them from terrorists and other national armies that intentionally try to conquer regions. The infiltration of trespassers and terrorists into a territory is considered to greatly influence the harmony and peace of a nation. In this context, conventional border surveillance systems safeguard the border regions based on the pre-determined routes at various time intervals. However, the intensive involvement of human in patrolling is determined as the major challenge in the process of safeguarding longer border areas. Moreover, detecting the infiltration of terrorists through the underground tunnel is considered to be the other challenge. At this juncture, wireless sensor networks are considered to be the best suitable candidate for safeguarding the external borders through real-time monitoring to attain maximized accuracy, efficiency in the detection and least human intervention. In this paper, Distance Vector-Hop (DV-Hop) and Differential Evolution (DE)-based Interception Strategy (DV-Hop-DE-IS) is proposed for accurate detection of cross border infiltration in the underground tunnel. This proposed DV-Hop-DE-IS includes the merits of converting the discrete values of hop count into a highly accurate continuous value depending on the information received from the number of shared one-hop nodes that exists between neighbouring nodes. This problem of intruder detection is formulated as the minimum optimization problem that could be optimally solved through the utilization of the Differential Evolution algorithm with maximized efficiency. The simulation results of the DV-Hop-DE-IS confirmed better detection rate, accuracy with a reduced false positive rate compared to the benchmarked intruder detection approaches.
Influence of different Types of Curing on Strength of Concrete
In: Asian journal of research in social sciences and humanities: AJRSH, Band 6, Heft 8, S. 2377
ISSN: 2249-7315
"Are We a Family or a Business?" History and Disjuncture in the Urban American Street Gang
In: Theory and society: renewal and critique in social theory, Band 29, Heft 4, S. 427-462
ISSN: 0304-2421
Dengue Vector Surveillance in and around Mormugao Port Trust (MPT) – Goa, India
As per the International Health Regulations, it is a moral responsibility on national governments to keep international seaports/airports and peripheral areas up to 400 meters free of vector mosquitoes in its adult and immature stages and the mosquito vectors of other diseases of epidemiological significance. In view of seriousness of the problem, the present study was undertaken in and around Mormugao Port Trust (MPT), Goa (India), to see the prevalence of Aedes mosquito. This study was undertaken in the month of February and December 2016. Inside the port, no larval breeding was detected except in December survey, and 3.85 Breteau Index (BI) was recorded. In Headland Sada (residential colony), breeding was detected with 6.0 and 10.0 BI in February and December 2016 respectively. Similarly, in Jetty village high larval breeding was searched with 9.8 and 8.0 BI in February and December, respectively. In the residential colony, plastic containers used for storing water acted as the main source of larval breeding. These plastic containers were used to store water for long time and maintaining Aedes breeding in adverse condition throughout the year. According to breeding preference ratio (BPR), cement tank showed the highest (4.37) BPR in the month of February while in December BPR was highest for iron drum (27.7) followed by waterstoring plastic container (1.14). These residential colonies are in close vicinity of the seaport. Local factors play an important role in the propagation and prevalence of Aedes mosquito. Routine entomological surveillance is required to monitor the vector prevalence in the residential colonies around the seaport. Baseline surveillance data should be collected regularly to monitor vector prevalence and destroy the breeding sites in and around the seaport.
BASE
Dengue Vector Surveillance in and around Mormugao Port Trust (MPT) – Goa, India
As per the International Health Regulations, it is a moral responsibility on national governments to keep international seaports/airports and peripheral areas up to 400 meters free of vector mosquitoes in its adult and immature stages and the mosquito vectors of other diseases of epidemiological significance. In view of seriousness of the problem, the present study was undertaken in and around Mormugao Port Trust (MPT), Goa (India), to see the prevalence of Aedes mosquito. This study was undertaken in the month of February and December 2016. Inside the port, no larval breeding was detected except in December survey, and 3.85 Breteau Index (BI) was recorded. In Headland Sada (residential colony), breeding was detected with 6.0 and 10.0 BI in February and December 2016 respectively. Similarly, in Jetty village high larval breeding was searched with 9.8 and 8.0 BI in February and December, respectively. In the residential colony, plastic containers used for storing water acted as the main source of larval breeding. These plastic containers were used to store water for long time and maintaining Aedes breeding in adverse condition throughout the year. According to breeding preference ratio (BPR), cement tank showed the highest (4.37) BPR in the month of February while in December BPR was highest for iron drum (27.7) followed by waterstoring plastic container (1.14). These residential colonies are in close vicinity of the seaport. Local factors play an important role in the propagation and prevalence of Aedes mosquito. Routine entomological surveillance is required to monitor the vector prevalence in the residential colonies around the seaport. Baseline surveillance data should be collected regularly to monitor vector prevalence and destroy the breeding sites in and around the seaport.
BASE
Quantum Brain Networks: A Perspective
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integratingknowledge and methods from neurotechnology, artificial intelligence, and quantum computing. Theobjective is to develop an enhanced connectivity between the human brain and quantum computersfor a variety of disruptive applications. We foresee the emergence of hybrid classical-quantumnetworks of wetware and hardware nodes, mediated by machine learning techniques and brain–machine interfaces. QBraiNs will harness and transform in unprecedented ways arts, science,technologies, and entrepreneurship, in particular activities related to medicine, Internet of Humans,intelligent devices, sensorial experience, gaming, Internet of Things, crypto trading, and business. ; European Union (EU) QMiCS (820505) and OpenSuperQ (820363) projects ; Spanish GovernmentPGC2018-095113-B-I00, PID2019-104002GB-C21, PID2019-104002GB-C22 (MCIU/AEI/FEDER, UE) ; Basque Government IT986-16 ; Junta de Andalucía (P20-00617 andUS-1380840) ; National Natural Science Foundation of China (NSFC)(12075145), STCSM (2019SHZDZX01-ZX04, 18010500400 and 18ZR1415500)
BASE
Elective surgery cancellations due to the COVID-19 pandemic. Global predictive modelling to inform surgical recovery plans
Background: The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19. Methods: A global expert response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian β-regression model was used to estimate 12-week cancellation rates for 190 countries. Elective surgical case-mix data, stratified by specialty and indication (surgery for cancer versus benign disease), were determined. This case mix was applied to country-level surgical volumes. The 12-week cancellation rates were then applied to these figures to calculate the total number of cancelled operations. Results: The best estimate was that 28 404 603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID-19 (2 367 050 operations per week). Most would be operations for benign disease (90·2 per cent, 25 638 922 of 28 404 603). The overall 12-week cancellation rate would be 72·3 per cent. Globally, 81·7 per cent of operations for benign conditions (25 638 922 of 31 378 062), 37·7 per cent of cancer operations (2 324 070 of 6 162 311) and 25·4 per cent of elective caesarean sections (441 611 of 1 735 483) would be cancelled or postponed. If countries increased their normal surgical volume by 20 per cent after the pandemic, it would take a median of 45 weeks to clear the backlog of operations resulting from COVID-19 disruption. Conclusion: A very large number of operations will be cancelled or postponed owing to disruption caused by COVID-19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to restore surgical activity safely.
BASE