Martyr, Narcissist, Opportunist...?: Edward Snowden and the Evolution of the Post 9/11 Security Clearance Process

2016 ◽  
Author(s):  
Collin James Overby
Keyword(s):  
Security Clearance ◽  
Clearance Process

scholarly journals Neuromodulation of Astrocytic K+ Clearance

2021 ◽  
Vol 22 (5) ◽  
pp. 2520
Author(s):  
Alba Bellot-Saez ◽  
Rebecca Stevenson ◽  
Orsolya Kékesi ◽  
Evgeniia Samokhina ◽  
Yuval Ben-Abu ◽  
...  
Keyword(s):  
Oscillatory Behavior ◽  
Network Activity ◽  
Oscillatory Activity ◽  
Extracellular Potassium ◽  
Uptake Mechanism ◽  
Kir Channels ◽  
Neuronal Network Activity ◽  
Clearance Process ◽  
Spatial Buffering ◽  
The Impact

Potassium homeostasis is fundamental for brain function. Therefore, effective removal of excessive K+ from the synaptic cleft during neuronal activity is paramount. Astrocytes play a key role in K+ clearance from the extracellular milieu using various mechanisms, including uptake via Kir channels and the Na+-K+ ATPase, and spatial buffering through the astrocytic gap-junction coupled network. Recently we showed that alterations in the concentrations of extracellular potassium ([K+]o) or impairments of the astrocytic clearance mechanism affect the resonance and oscillatory behavior of both the individual and networks of neurons. These results indicate that astrocytes have the potential to modulate neuronal network activity, however, the cellular effectors that may affect the astrocytic K+ clearance process are still unknown. In this study, we have investigated the impact of neuromodulators, which are known to mediate changes in network oscillatory behavior, on the astrocytic clearance process. Our results suggest that while some neuromodulators (5-HT; NA) might affect astrocytic spatial buffering via gap-junctions, others (DA; Histamine) primarily affect the uptake mechanism via Kir channels. These results suggest that neuromodulators can affect network oscillatory activity through parallel activation of both neurons and astrocytes, establishing a synergistic mechanism to maximize the synchronous network activity.

‘To unite as one’: resisting slum clearance in Freemans Bay, 1951–1968

Race & Class ◽  
2017 ◽  
Vol 59 (1) ◽  
pp. 54-72
Author(s):  
Cybèle Locke
Keyword(s):  
New Zealand ◽  
Local Government ◽  
Racial Discrimination ◽  
Employment Status ◽  
City Council ◽  
Cultural Good ◽  
The Face ◽  
Reclamation Area ◽  
Clearance Process ◽  
Community Centre

This article examines the activities of the Freemans Bay Residents Welfare Association, which formed to promote residents’ welfare and to retain the neighbourhood’s integrity in the face of slum clearance during the 1950s and 1960s in Auckland, New Zealand. The Association’s objective was: ‘To combine socially for the cultural good of all people in the area. To unite as one, regardless of race, colour or creed, for the peaceful and fruitful existence of our residents.’ John (Johnny) James Mitchell, secretary of the Association, invoked working-class solidarity – to unite as one – to bring together residents who could also be classified by race, religion, political belief, employment status, ‘respectability’ and housing occupancy. This solidarity was assisted by the Auckland City Council who zoned the Reclamation Area for clearance, affecting all residents within its bounds. However, racial discrimination practised by private landlords, local government and state departments meant that Māori were more likely to occupy condemned housing to begin with and were the last to be assisted by the state in the slum clearance process. As a result, race remained a more potent signifier for Māori residents and they organised through the Māori Women’s Welfare League and the Māori Community Centre, in alliance with the Association.

scholarly journals A Survey on Covid Safety System

2021 ◽  
Vol 9 (11) ◽  
pp. 589-593
Author(s):  
Hinal Sodagra
Keyword(s):  
Body Temperature ◽  
Face Mask ◽  
Raspberry Pi ◽  
Infrared Sensor ◽  
Shopping Malls ◽  
Solution System ◽  
Public Places ◽  
Hand Sanitizer ◽  
Security Clearance ◽  
Python Programming

Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to it, the Arduino Uno is utilized as a microcontroller, which detects the distance and the outcome isthe pump starts running out the hand sanitizer. Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Arduino, Sensor, Sanitizer, Infrared sensor

scholarly journals FACTORS AFFECTING THE CUSTOMS CLEARANCE TIME AT PRIME CUSTOMS OFFICE TYPE A OF TANJUNG PRIOK

2020 ◽  
Vol 2 (2) ◽  
pp. 01-17
Author(s):  
Khamami Herusantoso ◽  
Ardyanto Dwi Saputra
Keyword(s):  
Data Mining ◽  
Type A ◽  
Database Analysis ◽  
Data Set ◽  
Complex Phase ◽  
Specific Data ◽  
Factors Affecting ◽  
Efficiency And Effectiveness ◽  
Hidden Knowledge ◽  
Clearance Process

In the dwell-time, the customs clearance is considered as the most complex phase, even though its portion is the shortest among other phases, such as pre-clearance and post clearance. In order to improve the efficiency and effectiveness on the services performed in the customs clearance process, the customs authorities must start considering the help of database analysis in identifying obstacles instead of depending on the personal analysis. Useful information is hidden among the importation data set and it is extractable through data mining techniques. This study explores the customs clearance process of import cargo whose document is declared through the red channel at Prime Customs Office Type A of Tanjung Priok (PCO Tanjung Priok), and applies a specific data mining classifier called the decision tree with J48 algorithm to evaluate the process. There are 11 classification models developed using unpruned, online pruning, and post-pruning features. One best model is chosen to extract the hidden knowledge that describes factors affecting the customs clearance process and allows the customs authorities to improve their services performed in the future.

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