Reinventing high density area departure traffic management

Abstract Background Contrast encephalopathy is a rare complication of carotid artery stenting (CAS). Contrast encephalopathy is a diagnosis of exclusion that often needs to be distinguished from high perfusion syndrome, cerebral haemorrhage, subarachnoid haemorrhage (SAH), cerebral infarction and so on. Case presentation In this study, we report on a 70-year-old man who was admitted to the hospital with transient ischaemic attacks presenting paroxysmal weakness of limbs in the previous 2 years. He had severe stenosis of the left internal carotid artery diagnosed by digital subtraction angiography (DSA) and underwent CAS. Two hours after the operation, the patient developed paralysis of the right upper limb, unclear speech, fever and restlessness. Emergency skull computed tomography (CT) showed swelling and a linear high-density area in the left cerebral hemisphere. To clarify the components of this high-density area in the traditional CT, the patient had spectral CT, which made the diagnosis of the leakage of contrast clear. After 1 week of supportive treatment, the patient improved. Conclusions Spectral CT can easily distinguish the components of high-density areas on traditional CT, which is haemorrhage, calcification or iodine contrast leakage. Therefore, spectral CT is worth consideration for the differential diagnosis of complications of vascular intervention.

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Community awareness of diet needs associated with hypertension and type 2 diabetes mellitus in Hatcliffe, Zimbabwe

BMC Public Health ◽

10.1186/s12889-019-8030-4 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Lonestar Lazarus Gonde ◽

Moses John Chimbari

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Low Income ◽

Salt Content ◽

High Density ◽

Sub Saharan Africa ◽

High Density Area ◽

Density Area

Abstract Background Diet is an important modifiable risk factor for non-communicable diseases (NCDs) like hypertension (HTN) and type 2 diabetes mellitus (T2DM). A NCD is a disease that cannot be transmitted from person to person. Dietary risk factors account for 5.8% of all-cause mortality in Sub-Saharan Africa (SSA). There has been an increase in the consumption of ‘westernized ‘diets in SSA. The westernized diets consumed in low-income countries are usually high in salt content, fatty, processed and fast foods; and hence accelerate the development of HTN and T2DM. Previous studies carried out in Zimbabwe showed low levels of knowledge and awareness of HTN and T2DM; and the dietary needs for patients with those conditions. The aim of this study was to explore the dietary habits and awareness of HTN and T2DM of both males and females in a high-density area (HDA) of Zimbabwe. Methods We conducted household-based cross-sectional study in a high density area of Hatcliffe, which has a population of close to 50,000 residents. Face to face interviews were conducted using hand-held mobile devices loaded with KoBo Toolbox. We selected two consenting adults, a male and female, from every fourth household in selected areas of Hatcliffe. Results In this study all the 492 participants that were interviewed responded. Eighty eight point 6% (88.6%) of the participants in the study did not know if they were hypertensive or not. In addition, 91.7% of the participants had never voluntarily checked for hypertension. Similarly, 97.6% of the participants did not know if they had T2DM or not. Ninety eight percent (98%) of the participants had not voluntarily checked their blood glucose level. Conclusions The majority of the participants in the study were not aware if they had HTN or T2DM. The participants in the study perceived that the salt they consume is the right quantity. There is a high consumption of vegetable oil in most meals prepared.

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Traffic Flow Catastrophe Border Identification for Urban High-Density Area Based on Cusp Catastrophe Theory: A Case Study under Sudden Fire Disaster

Applied Sciences ◽

10.3390/app10093197 ◽

2020 ◽

Vol 10 (9) ◽

pp. 3197 ◽

Cited By ~ 2

Author(s):

Ciyun Lin ◽

Yongli Yu ◽

Dayong Wu ◽

Bowen Gong

Keyword(s):

Data Collection ◽

Traffic Flow ◽

Traffic Congestion ◽

High Density ◽

High Density Area ◽

Density Area ◽

Fire Disaster ◽

Traffic Flow Management ◽

And Control ◽

Cusp Catastrophe Theory

For traffic management under sudden disasters in high-density areas, the first and foremost step is to prevent traffic congestion in the disaster-affected area by traffic flow management and control, so as to provide enough and flexible traffic capacity for emergency evacuation and emergency rescue. Catastrophe border identification is the foundation and the key to traffic congestion prediction under sudden disaster. This paper uses a mathematical model to study the regional traffic flow in the high-density area under sudden fire disaster based on the Cusp Catastrophe Theory (CCT). The catastrophe border is identified by fitting the CCT-based regional traffic flow model to explore the stable traffic flow changing to the instable state, as to provide a theoretical basis for traffic flow management and control in disaster-affected areas, and to prevent the traffic flow being caught into disorder and congestion. Based on VISSIM simulator data by building simulation scenarios with and without sudden fire disaster in a Sudoku traffic network, the catastrophe border is identified as 439 pcu/lane/h, 529 pcu/lane/h, 377 pcu/lane/h at 5 s, 10 s, 15 s data collection interval in a Sudoku traffic network respectively. The corresponding relative precision, which compares to the method of Capacity Assessment Approach (CAA), is 89.1%, 92.7% and 76.5% respectively. It means that 10 s data collection interval would be the suitable data collection interval in catastrophe border identification and regional traffic flow control in high-density area under sudden fire disaster.

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