Modernization Theory and House Garden Transformation; Erbil City as Case Study

Recently, the concept of modernity and its influences on global warming comes to be a common topic in architectural debates. The disappearance of gardens in the contemporary house layouts generated a need for new approaches to create a sustainable network of green areas within residential neighborhoods. The objectives of this paper intend to emphasize on the holistic phenomenon of house garden transformations. The rationale behind selecting cases inside Erbil city, Iraq return to its historical background which passed through rapid transformations due to the political, economic, and cultural changes. This paper aims to identify reason behind disappearance of house gardens in new developments. Moreover, it describes the physical elements of local traditions in different periods. The analytical methodology used in this paper relies on four different periods of the city evolution. It discusses the building garden visual elements in terms of architectural physical factors. The study emphases on two types of analyses, the morphology analyses for each period individually, and comparative analyses between different periods. The findings of this paper will indicate the crucial factors that affecting the disappearance of house garden as well as the general positive effects of vegetation in urban contexts

A novel procedure for constructing invariant subspaces of a set of matrices

A problem that is frequently encountered in a variety of mathematical contexts, is to find the common invariant subspaces of a single, or set of matrices. A new method is proposed that gives a definitive answer to this problem. The key idea consists of finding common eigenvectors for exterior powers of the matrices concerned. A convenient formulation of the Pl\"ucker relations is then used to ensure that these eigenvectors actually correspond to subspaces or provide the initial constraints for eigenvectors involving parameters. A procedure for computing the divisors of totally decomposable vector is also provided. Several examples are given for which the calculations are too tedious to do by hand and are performed by coding the conditions found into Maple

Systematic review and meta-analysis of tuberculosis in animals in Nigeria

Animal tuberculosis (TB) is a contagious and chronic disease caused by mycobacteria belonging to theMycobacterium tuberculosis complex (MTBC) in domestic and wild animals. MTBC strains infection has been confirmed in many animal species in Nigeria, including captive wildlife, cattle, dromedary camels, goats, and pigs. Despite widespread infection and the potential impact of the disease on public health, active surveillance and control strategies are absent in Nigeria. This study aimed to conduct the first comprehensive meta-analysis to assess the distribution of tuberculosis and analyze the potential moderators of infection in animals in Nigeria. Eligible studies (sixty-one (Cadmus et al., 2014) [61] prevalence and seven (Menzies and Neill, 2000) [7] case reports) were retrieved and included in the analysis. The analyses showed an overall pooled TB prevalence of 7.0% (95% CI: 6.0-8.0) comprising of infection distributed in cattle (8.0%, 95% CI: 7.0-8.0), goats (0.47%, 95% CI: 0-1.2), sheep (0.27%, 95% CI: 0.14-0.46), camels (13.0%, 95% CI: 0-47), and wildlife (13.0%, 95% CI: 9-16) respectively. The occurrence of infection was significantly moderated by the publication periods, geographical location, sample size, and detection methods. TB prevalence was heterogeneous across several predictors, with the year of publication exhibiting a higher rate (46%) of the detected heterogeneity. These findings should provide policy-relevant information to guide the design and establishment of prevention and control measures amenable to the local situations in Nigeria. © 2023 The Author(s

Visual Twin for Pipeline Leak Detection

We describe a visual digital twin system to allow for both operation and training of a data-driven pipeline leak detection system. We show system design in terms of its data inputs and the software system which incorporates this data in real time. This system allows visualization of pipeline data and machine learning-driven leak detection in a pipeline sitting in a subsea context. The intended purpose of the system is to both train operators of the leak detection system in its use and also provide high situational awareness to those tasked with monitoring pipeline deployments. The visual digital twin system uses gaming engine technology to achieve high visual quality. We also construct a novel software system enhancement to incorporate live data streams into the gaming engine environment. This allows real-time driving of gaming engine visualization elements with which we may augment the gaming engine environment. In terms of visualization, we focus on addressing problems of large ranges of multiple scales and providing high situational awareness which minimize operator fatigue and cognitive load. We show how multiple camera views in combination with a convenient user interface can help to address these issues. We demonstrate a digital twin system for leak detection. We show its realtime operation in a gaming engine environment with the ability to instantaneously incorporate outside data sources into the visualizations. We demonstrate using simulated pipeline flow data from sensors such as pressure, temperature, etc. This is visualized in the context of a subsea pipeline on a sea floor. Given the large range of scales, we demonstrate how we can view both the full kilometer scale pipeline and smaller subsections in the context of specific sensor data streams. The overall system demonstrates a novel combination of advanced software systems which incorporates real-time data stream with visualization using a high-fidelity gaming engine. The data used represents a leak detection scenario where both operator training and situational awareness are key desired outcomes

Toxicological efects and behavioural and biochemical responses of Oreochromis mossambicus gills and its cholinesterase to copper: a biomarker application

Gills are both morphologically and physiologically complex whereby they perform several functions such as gas exchange, ion and water exchange, acid base balance, nitrogenous waste excretion, and other metabolic transformations. They are one of the frst fsh organs to be exposed to heavy metals in the aquatic environment. The exposure of Oreochromis mossambicus to copper showed deleterious efects to normal fsh behaviours and varying degrees of gill damage when visualized under inverted light microscopy (stained with haematoxylin–eosin), scanning electron microscopy, and transmission electron microscopy. Abnormalities of the nucleus shape, swollen cells, lipid droplet deposition, and an increase in vacuolation on the afected gills were observed with the degree of damage associated with CuSO4 exposure concentration. CuSO4 exposure in O. mossambicus also gave various patterns of inhibitory efects on cholinesterase (ChE) depending on the concentration of exposure and the organs exposed. Copper exposure altered ChE activity extracted from the gills of O. mossambicus with 99.9% of inhibition at the highest exposure concentration of CuSO4 (20 mg/L). Hence, this study suggests the potential of this fsh to become a sentinel species that permits the detection of lower copper contamination levels

Visual Twin for Pipeline Leak Detection

We describe a visual digital twin system to allow for both operation and training of a data-driven pipeline leak detection system. We show system design in terms of its data inputs and the software system which incorporates this data in real time. This system allows visualization of pipeline data and machine learning-driven leak detection in a pipeline sitting in a subsea context. The intended purpose of the system is to both train operators of the leak detection system in its use and also provide high situational awareness to those tasked with monitoring pipeline deployments. The visual digital twin system uses gaming engine technology to achieve high visual quality. We also construct a novel software system enhancement to incorporate live data streams into the gaming engine environment. This allows real-time driving of gaming engine visualization elements with which we may augment the gaming engine environment. In terms of visualization, we focus on addressing problems of large ranges of multiple scales and providing high situational awareness which minimize operator fatigue and cognitive load. We show how multiple camera views in combination with a convenient user interface can help to address these issues. We demonstrate a digital twin system for leak detection. We show its realtime operation in a gaming engine environment with the ability to instantaneously incorporate outside data sources into the visualizations. We demonstrate using simulated pipeline flow data from sensors such as pressure, temperature, etc. This is visualized in the context of a subsea pipeline on a sea floor. Given the large range of scales, we demonstrate how we can view both the full kilometer scale pipeline and smaller subsections in the context of specific sensor data streams. The overall system demonstrates a novel combination of advanced software systems which incorporates real-time data stream with visualization using a high-fidelity gaming engine. The data used represents a leak detection scenario where both operator training and situational awareness are key desired outcomes

Parametric Study on the Compact G Shaped Monopole Antenna for 2.4 GHz and 5.2 GHz Application

Abstract—This paper describes the design of a compact printed microstrip G-shaped monopole antenna for wireless local area network (WLAN application). The antenna has G-shaped resonating element which is designed for the two resonance frequencies at 2.4GHz and 5.2GHz respectively, which are the operating bands for WLAN application. The antenna is constructed by a non-conductor backed G-shaped strip with a mircostrip feed line. The dual band performance can be easily achieved by finetuning the length of the resonant path. The antenna is designed and simulated by using Computer Simulation Technology (CST) Studio simulation software. The parametric study with five different ground lengths had been done using parametric sweep. The the measurement results will be compared and analyzed with the simulated antenna

Impact of the COVID-19 Pandemic on Acute Stroke Care, Time Metrics, Outcomes, and Racial Disparities in a Southeast Michigan Health System

BACKGROUND: COVID-19 has impacted acute stroke care with several reports showing worldwide drops in stroke caseload during the pandemic. We studied the impact of COVID-19 on acute stroke care in our health system serving Southeast Michigan as we rolled out a policy to limit admissions and transfers. METHODS: in this retrospective study conducted at two stroke centers, we included consecutive patients presenting to the ED for whom a stroke alert was activated during the period extending from 3/20/20 to 5/20/20 and a similar period in 2019. We compared demographics, time metrics, and discharge outcomes between the two groups. RESULTS: of 385 patients presented to the ED during the two time periods, 58% were African American. There was a significant decrease in the number of stroke patients presenting to the ED and admitted to the hospital between the two periods (p \u3c0.001). In 2020, patients had higher presenting NIHSS (median: 2 vs 5, p = 0.012), discharge NIHSS (median: 2 vs 3, p = 0.004), and longer times from LKW to ED arrival (4.8 vs 9.4 h, p = 0.031) and stroke team activation (median: 10 vs 15 min, p = 0.006). In 2020, stroke mimics rates were lower among African Americans. There were fewer hospitalizations (p \u3c0.001), and transfers from outside facilities (p = 0.015). CONCLUSION: a trend toward faster stroke care in the ED was observed during the pandemic along with dramatically reduced numbers of ED visits, hospitalizations and stroke mimics. Delayed ED presentations and higher stroke severity characterized the African American population, highlighting deepening of racial disparities during the pandemic

Optimization Method for Voltage Sag Monitor Placement in Power System

Voltage sag is one off the severe power quality issues and may cause huge losses to industries. Voltage sag happens frequently and might be caused by random and unpredictable factors. To monitor voltage sag, Voltage Sag Monitoring (VSM) system has been currently implemented to the whole power system. However, implementation of VSM at all buses is not economical. Therefore, the objective of this study is to evaluate the optimal number and placement of voltage sag monitors in IEEE 30-bus system. First, the concept of monitor reach area is used. In this study, voltage sag is represented by balance and unbalance fault with fault impedance, Zf equal to 0Ω. To obtain fault voltage on each bus, IEEE 30-bus system was constructed using PowerWorld software. Then, monitor reach area matrix is formed by comparing fault voltage with selected voltage threshold, α. After that, monitor reach area is analysed by using branch and bound method to evaluate the minimum number and the possible arrangements of VSM. Finally, to optimally place the identified number of VSM, all possible combinations of VSM in the power system were evaluated using sag severity index. To show the effectiveness of the proposed method on the optimal voltage sag monitor placement in power system, the proposed algorithm was implemented and tested on the IEEE 30-bus test system. The proposed method was tested with two different α; i.e. 0.55 p.u. and 0.80 p.u. respectively. The proposed method successfully found the optimal number and its placement for monitoring the whole IEEE 30-bus system with respective α value. Based on the results, for α equal to 0.55, VSM need to be installed on bus 6, 17, 25 and 30 in order to monitor voltage sag on IEEE 30-bus system; and for α equal to 0.80 p.u., VSM are only required to be placedat bus 25 respectively