Diagnostic Research of the Dome of the Superstructure of the Holy Aedicule of the Holy Sepulchre in Jerusalem-Suggestions for Maintenance and Rehabilitation

2019 ◽  
pp. 1-16
Author(s):  
Maria Kroustallaki ◽  
Kyriakos C. Lampropoulos ◽  
Ekaterini Delegou ◽  
Emmanouil Alexakis ◽  
Antonios Tsagarakis ◽  
...  
Keyword(s):  
Maintenance And Rehabilitation ◽  
Diagnostic Research

Histopathological Spectrum of Premalignant and Malignant Lesions of Esophagus in the Population of Karachi

2020 ◽  
Author(s):  
Asma Shabbir
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Single Case ◽  
Malignant Neoplasms ◽  
Reference Laboratory ◽  
Histologic Pattern ◽  
Male Preponderance ◽  
Stratified Squamous Epithelium ◽  
Grade Ii ◽  
Diagnostic Research

Background: Squamous cell carcinoma (SCC) and adenocarcinoma are the most common esophageal cancers. Barrett’s esophagus is the change of esophageal stratified squamous epithelium to columnar cells which if remain undiagnosed follows the dysplasia – carcinoma sequence. The last two decades show a change in the histologic pattern of esophageal carcinoma. Adenocarcinoma is at majority rate than SCC in the West, however, in Asia, SCC is still the commonest cancer of esophagus. In this study, we aim to define a spectrum of premalignant and malignant neoplasms of esophagus in our region. Methods: This study was done at Dow Diagnostic Research and Reference Laboratory (DDRRL). All the cases of preneoplastic and neoplastic lesions of esophagus received during the period of 7 years (2009-2015) were reviewed. The data obtained were subjected to descriptive statistical analysis using SPSS version 21. Results: Out of 94 premalignant cases, 70 (74.5%) were diagnosed as Barrett’s esophagus, 23 (24.5%) as dysplasia and 1 (1.1%) as adenoma. From the total of 450 malignant cases, 395 (87.7%) were SCC, 54 (12%) were adenocarcinoma and a single case of leiomyoma was diagnosed. Grade II SCC was found to be most the common lesion. Conclusion: Barrett’s esophagus was more than dysplasia and showed male preponderance. SCC was the predominant esophageal cancer, which is similar to the other studies in our country. SCC was found more common in females than males and vice versa for adenocarcinoma. Majority of all the cases belonged to 41-60 years of age group.

Establishing optimal project-level strategies for pavement maintenance and rehabilitation – A framework and case study

2012 ◽  
Vol 44 (5) ◽  
pp. 565-589 ◽  
Author(s):  
Muhammad Irfan ◽  
Muhammad Bilal Khurshid ◽  
Qiang Bai ◽  
Samuel Labi ◽  
Thomas L. Morin
Keyword(s):  
Pavement Maintenance ◽  
Maintenance And Rehabilitation ◽  
Project Level

Detection of Pavement Maintenance Treatments using Deep-Learning Network

2021 ◽  
pp. 036119812110078
Author(s):  
Lu Gao ◽  
Yao Yu ◽  
Yi Hao Ren ◽  
Pan Lu
Keyword(s):  
Deep Learning ◽  
Measurement Errors ◽  
Short Term Memory ◽  
Learning Networks ◽  
Pavement Maintenance ◽  
Time Period ◽  
Learning Techniques ◽  
Maintenance And Rehabilitation ◽  
History Of ◽  
Deep Learning Network

Pavement maintenance and rehabilitation (M&R) records are important as they provide documentation that M&R treatment is being performed and completed appropriately. Moreover, the development of pavement performance models relies heavily on the quality of the condition data collected and on the M&R records. However, the history of pavement M&R activities is often missing or unavailable to highway agencies for many reasons. Without accurate M&R records, it is difficult to determine if a condition change between two consecutive inspections is the result of M&R intervention, deterioration, or measurement errors. In this paper, we employed deep-learning networks of a convolutional neural network (CNN) model, a long short-term memory (LSTM) model, and a CNN-LSTM combination model to automatically detect if an M&R treatment was applied to a pavement section during a given time period. Unlike conventional analysis methods so far followed, deep-learning techniques do not require any feature extraction. The maximum accuracy obtained for test data is 87.5% using CNN-LSTM.

Analysis of Overweight Truck Permit Policy in New Jersey

2021 ◽  
pp. 036119812110266
Author(s):  
Sami Demiroluk ◽  
Hani Nassif ◽  
Kaan Ozbay ◽  
Chaekuk Na
Keyword(s):  
New Jersey ◽  
Environmental Conditions ◽  
Decision Makers ◽  
Actual Cost ◽  
Department Of Transportation ◽  
Heavy Weight ◽  
Vehicle Route ◽  
Heavy Trucks ◽  
Maintenance And Rehabilitation ◽  
The Cost

The roadway infrastructure constantly deteriorates because of environmental conditions, but other factors such as exposure to heavy trucks exacerbates the rate of deterioration. Therefore, decision-makers are constantly searching for ways to optimize allocation of the limited funds for repair, maintenance, and rehabilitation of New Jersey’s infrastructure. New Jersey legislation requires operators of overweight (OW) trucks to obtain a permit to use the infrastructure. The New Jersey Department of Transportation (NJDOT) issues a variety of permits based on the types of goods carried. These permits allow OW trucks to use the infrastructure either for a single trip or for multiple trips. Therefore, one major concern is whether the permit revenue of the agency can recoup the actual cost of damage to the infrastructure caused by these OW trucks. This study investigates whether NJDOT’s current permit fee program can collect enough revenue to meet the actual cost of damage to the infrastructure caused by these heavy-weight permit trucks. The infrastructure damage is estimated by using pavement and bridge deterioration models and New Jersey permit data from 2013 to 2018 containing vehicle configuration and vehicle route. The analysis indicates that although the cost of infrastructure damage can be recovered for certain permit types, there is room for improvement in the permit program. Moreover, based on permit rules in other states, the overall rank of the New Jersey permit program is evaluated and possible revisions are recommended for future permit policies.

scholarly journals Analysis of vibrodiagnostics methods in the technical state study of designed multimedia mobile scenes

2019 ◽  
Vol 302 ◽  
pp. 01011
Author(s):  
Marcin Łukasiewicz ◽  
Michał Liss ◽  
Natalia Dluhunovych
Keyword(s):  
Modal Analysis ◽  
Diagnostic Tests ◽  
Research Process ◽  
Technical Condition ◽  
Technical State ◽  
Normal Operation ◽  
Design Stage ◽  
Analysis Methods ◽  
State Study ◽  
Diagnostic Research

The paper presents the possibilities of using vibroacoustic methods in the study of the technical condition of designed multimedia mobile scenes. In particular, the possibility of implementing modal analysis methods in modelling and diagnostic research process has been presented. The use of virtual methods enables diagnostic tests both at the design stage and at the stage of normal operation, whereas modal methods help to explain the nature of the work of the element under investigation.

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