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Article ; Online: Mycobacterium Bovis Causing Mycotic Aneurysm Secondary to Intravesical Treatment with Bacillus Calmette-Guérin: A Case Report.

Zaza, Sarah I / Ghasemzadeh, Ali / Bennett, Kyla M

2021 Volume 79, Page(s) 437.e1–437.e6

Abstract: Background: Bacillus Calmette-Guerin (BCG) is a live, attenuated strain of Mycobacterium bovis that is used in the treatment of non-muscle invasive bladder cancer (NMIBC). Vascular complications, including mycotic aneurysms, after BCG therapy are ... ...

Abstract	Background: Bacillus Calmette-Guerin (BCG) is a live, attenuated strain of Mycobacterium bovis that is used in the treatment of non-muscle invasive bladder cancer (NMIBC). Vascular complications, including mycotic aneurysms, after BCG therapy are exceedingly rare. In this patient population, the diagnosis of mycotic aneurysms can be delayed or missed due to their non-specific clinical and radiologic presentation. Literature review reveals management of mycotic aneurysms attributable to BCG therapy is widely varied.
MeSH term(s)	Administration, Intravesical ; Aged ; Aneurysm, Infected/diagnosis ; Aneurysm, Infected/microbiology ; Aneurysm, Infected/surgery ; Aortic Aneurysm/diagnosis ; Aortic Aneurysm/microbiology ; Aortic Aneurysm/surgery ; Arteries/transplantation ; BCG Vaccine/administration & dosage ; BCG Vaccine/adverse effects ; Cryopreservation ; Humans ; Male ; Mycobacterium bovis/pathogenicity ; Omentum/surgery ; Surgical Flaps ; Treatment Outcome ; Tuberculosis/diagnosis ; Tuberculosis/microbiology ; Tuberculosis/surgery ; Urinary Bladder Neoplasms/drug therapy ; Urinary Bladder Neoplasms/immunology ; Urinary Bladder Neoplasms/pathology ; Vascular Grafting
Chemical Substances	BCG Vaccine
Language	English
Publishing date	2021-10-10
Publishing country	Netherlands
Document type	Case Reports
ZDB-ID	1027366-9
ISSN	1615-5947 ; 0890-5096
ISSN (online)	1615-5947
ISSN	0890-5096
DOI	10.1016/j.avsg.2021.07.032
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Article ; Online: Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model.

Hosseinzadeh, Aryan / Moeinaddini, Amin / Ghasemzadeh, Ali

Journal of safety research

2021 Volume 77, Page(s) 151–160

Abstract: Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration ... ...

Abstract	Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration into large truck-involved crashes could help determine factors that are influential in crash severity. The current study focuses on large truck-involved crashes to predict influencing factors on crash injury severity. Method: Two techniques have been utilized: Random Parameter Binary Logit (RPBL) and Support Vector Machine (SVM). Models have been developed to estimate: (1) multivehicle (MV) truck-involved crashes, in which large truck drivers are at fault, (2) MV track-involved crashes, in which large truck drivers are not at fault and (3) and single-vehicle (SV) large truck crashes. Results: Fatigue and deviation to the left were found as the most important contributing factors that lead to fatal crashes when the large truck-driver is at fault. Outcomes show that there are differences among significant factors between RPBL and SVM. For instance, unsafe lane-changing was significant in all three categories in RPBL, but only SV large truck crashes in SVM. Conclusions: The outcomes showed the importance of the complementary approaches to incorporate both parametric RPBL and non-parametric SVM to identify the main contributing factors affecting the severity of large truck-involved crashes. Also, the results highlighted the importance of categorization based on the at-fault party. Practical Applications: Unrealistic schedules and expectations of trucking companies can cause excessive stress for the large truck drivers, which could leads to further neglect of their fatigue. Enacting and enforcing comprehensive regulations regarding large truck drivers' working schedules and direct and constant surveillance by authorities would significantly decrease large truck-involved crashes.
MeSH term(s)	Accidents, Traffic/statistics & numerical data ; Adult ; Aged ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Motor Vehicles/classification ; Support Vector Machine ; Young Adult
Language	English
Publishing date	2021-03-24
Publishing country	United States
Document type	Comparative Study ; Journal Article
ZDB-ID	2015321-1
ISSN	1879-1247 ; 0022-4375
ISSN (online)	1879-1247
ISSN	0022-4375
DOI	10.1016/j.jsr.2021.02.012
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Article ; Online: Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach.

Das, Anik / Ahmed, Mohamed M / Ghasemzadeh, Ali

Accident; analysis and prevention

2019 Volume 129, Page(s) 250–262

Abstract: The presence of fog has a significant adverse impact on driving. Reduced visibility due to fog obscures the driving environment and greatly affects driver behavior and performance. Lane-keeping ability is a lateral driver behavior that can be very ... ...

Abstract	The presence of fog has a significant adverse impact on driving. Reduced visibility due to fog obscures the driving environment and greatly affects driver behavior and performance. Lane-keeping ability is a lateral driver behavior that can be very crucial in run-off-road crashes under reduced visibility conditions. A number of data mining techniques have been adopted in previous studies to examine driver behavior including lane-keeping ability. This study adopted an association rules mining method, a promising data mining technique, to investigate driver lane-keeping ability in foggy weather conditions using big trajectory-level SHRP2 Naturalistic Driving Study (NDS) datasets. A total of 124 trips in fog with their corresponding 248 trips in clear weather (i.e., 2 clear trips: 1 foggy weather trip) were considered for the study. The results indicated that affected visibility was associated with poor lane-keeping performance in several rules. Furthermore, additional factors including male drivers, a higher number of lanes, the presence of horizontal curves, etc. were found to be significant factors for having a higher proportion of poor lane-keeping performance. Moreover, drivers with more miles driven last year were found to have better lane-keeping performance. The findings of this study could help transportation practitioners to select effective countermeasures for mitigating run-off-road crashes under limited visibility conditions.
MeSH term(s)	Accidents, Traffic/prevention & control ; Adult ; Automobile Driving/psychology ; Automobile Driving/statistics & numerical data ; Case-Control Studies ; Female ; Humans ; Male ; Middle Aged ; Sex Distribution ; Weather ; Young Adult
Language	English
Publishing date	2019-06-05
Publishing country	England
Document type	Journal Article
ZDB-ID	210223-7
ISSN	1879-2057 ; 0001-4575
ISSN (online)	1879-2057
ISSN	0001-4575
DOI	10.1016/j.aap.2019.05.024
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Article: Preliminary Study on the Effect of Nitrogen Fertilisation on Phytochemical Content Quality of

Bukhori, Mohamad Fhaizal Mohamad / Jaafar, Hawa / Ghasemzadeh, Ali / Sinniah, Uma Rani / Karipaya, Gayatri

Tropical life sciences research

2021 Volume 32, Issue 3, Page(s) 69–96

Abstract: The study was carried out to examine the effects of nitrogen (N) fertilisation on phytochemical content quality, to determine types of phytochemicals compositions, and to establish phytochemicals marker compounds ... ...

Abstract	The study was carried out to examine the effects of nitrogen (N) fertilisation on phytochemical content quality, to determine types of phytochemicals compositions, and to establish phytochemicals marker compounds in
Language	English
Publishing date	2021-09-30
Publishing country	Malaysia
Document type	Journal Article
ZDB-ID	2607038-8
ISSN	2180-4249 ; 1985-3718
ISSN (online)	2180-4249
ISSN	1985-3718
DOI	10.21315/tlsr2021.32.3.5
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Article ; Online: Anticancer potential of rosmarinic acid and its improved production through biotechnological interventions and functional genomics.

Swamy, Mallappa Kumara / Sinniah, Uma Rani / Ghasemzadeh, Ali

Applied microbiology and biotechnology

2018 Volume 102, Issue 18, Page(s) 7775–7793

Abstract: Rosmarinic acid (RA) is a highly valued natural phenolic compound that is very commonly found in plants of the families Lamiaceae and Boraginaceae, including Coleus blumei, Heliotropium foertherianum, Rosmarinus officinalis, Perilla frutescens, and ... ...

Abstract	Rosmarinic acid (RA) is a highly valued natural phenolic compound that is very commonly found in plants of the families Lamiaceae and Boraginaceae, including Coleus blumei, Heliotropium foertherianum, Rosmarinus officinalis, Perilla frutescens, and Salvia officinalis. RA is also found in other members of higher plant families and in some fern and horned liverwort species. The biosynthesis of RA is catalyzed by the enzymes phenylalanine ammonia lyase and cytochrome P450-dependent hydroxylase using the amino acids tyrosine and phenylalanine. Chemically, RA can be produced via methods involving the esterification of 3,4-dihydroxyphenyllactic acid and caffeic acid. Some of the derivatives of RA include melitric acid, salvianolic acid, lithospermic acid, and yunnaneic acid. In plants, RA is known to have growth-promoting and defensive roles. Studies have elucidated the varied pharmacological potential of RA and its derived molecules, including anticancer, antiangiogenic, anti-inflammatory, antioxidant, and antimicrobial activities. The demand for RA is therefore, very high in the pharmaceutical industry, but this demand cannot be met by plants alone because RA content in plant organs is very low. Further, many plants that synthesize RA are under threat and near extinction owing to biodiversity loss caused by unscientific harvesting, over-collection, environmental changes, and other inherent features. Moreover, the chemical synthesis of RA is complicated and expensive. Alternative approaches using biotechnological methodologies could overcome these problems. This review provides the state of the art information on the chemistry, sources, and biosynthetic pathways of RA, as well as its anticancer properties against different cancer types. Biotechnological methods are also discussed for producing RA using plant cell, tissue, and organ cultures and hairy-root cultures using flasks and bioreactors. The recent developments and applications of the functional genomics approach and heterologous production of RA in microbes are also highlighted. This chapter will be of benefit to readers aiming to design studies on RA and its applicability as an anticancer agent.
MeSH term(s)	Animals ; Antineoplastic Agents, Phytogenic/biosynthesis ; Antineoplastic Agents, Phytogenic/pharmacology ; Biosynthetic Pathways ; Biotechnology ; Cinnamates/metabolism ; Cinnamates/pharmacology ; Depsides/metabolism ; Depsides/pharmacology ; Genomics ; Humans ; Neoplasms/drug therapy ; Plants/genetics ; Plants/metabolism ; Rosmarinic Acid
Chemical Substances	Antineoplastic Agents, Phytogenic ; Cinnamates ; Depsides
Language	English
Publishing date	2018-07-18
Publishing country	Germany
Document type	Journal Article ; Review
ZDB-ID	392453-1
ISSN	1432-0614 ; 0171-1741 ; 0175-7598
ISSN (online)	1432-0614
ISSN	0171-1741 ; 0175-7598
DOI	10.1007/s00253-018-9223-y
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Article ; Online: Analyzing the effect of fog weather conditions on driver lane-keeping performance using the SHRP2 naturalistic driving study data.

Das, Anik / Ghasemzadeh, Ali / Ahmed, Mohamed M

Journal of safety research

2018 Volume 68, Page(s) 71–80

Abstract: Introduction: Driving in foggy weather conditions has been recognized as a major safety concern for many years. Driver behavior and performance can be negatively affected by foggy weather conditions due to the low visibility in fog. A number of previous ...

Abstract	Introduction: Driving in foggy weather conditions has been recognized as a major safety concern for many years. Driver behavior and performance can be negatively affected by foggy weather conditions due to the low visibility in fog. A number of previous studies focused on driver performance and behavior in simulated environments. However, very few studies have examined the impact of foggy weather conditions on specific driver behavior in naturalistic settings. Method: This study utilized the second Strategic Highway Research Program (SHRP2) Naturalistic Driving Study (NDS) dataset to evaluate driver lane-keeping behavior in clear and foggy weather conditions. Preliminary descriptive analysis was conducted and a lane-keeping model was developed using the ordered logistic regression approach to achieve the study goals. Results: This study found that individual variables such as visibility, traffic conditions, lane change, driver marital status, and geometric characteristics, as well as some interaction terms (i.e., weather and gender, surface condition and driving experience, speed limit and mileage last year) significantly affect lane-keeping ability. An important finding of this study illustrated that affected visibility caused by foggy weather conditions decreases lane-keeping ability significantly. More specifically, drivers in affected visibility conditions showed 1.37 times higher Standard Deviation of Lane Position (SDLP) in comparison with drivers who were driving in unaffected visibility conditions. Conclusions: These results provide a better understanding of driver lane-keeping behavior and driver perception of foggy weather conditions. Moreover, the results might be used to improve Lane Departure Warning (LDW) systems algorithm by allowing them to account for the effects of fog on visibility. Practical Applications: These results provide a better understanding of driver lane-keeping behavior and driver perception of foggy weather conditions. Moreover, the results might be used to improve Lane Departure Warning (LDW) systems algorithm by allowing them to account for the effects of fog on visibility.
MeSH term(s)	Accidents, Traffic ; Adult ; Algorithms ; Automobile Driving ; Female ; Florida ; Humans ; Indiana ; Logistic Models ; Male ; New York ; North Carolina ; Pennsylvania ; Research Design ; Safety ; Washington ; Weather
Language	English
Publishing date	2018-12-23
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2015321-1
ISSN	1879-1247 ; 0022-4375
ISSN (online)	1879-1247
ISSN	0022-4375
DOI	10.1016/j.jsr.2018.12.015
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Article: How much does vaccination reduce the rate of HBV infection in Iranian population? a Bayesian adjustment analysis.

Shojaee, Sajad / Zayeri, Farid / Nasserinejad, Maryam / Ghasemzadeh, Ali / Sadat Beheshti Shirazi, Saeedeh / Khodadoostan, Mahsa

Gastroenterology and hepatology from bed to bench

2020 Volume 12, Issue Suppl1, Page(s) S136–S144

Abstract: Aim: The aim of this research was to estimate the changing rate of odds ratio (OR) by varying degrees of hepatitis B virus (HBV) underreporting.: Background: Data registering is usually associated with extensive errors such as misclassification, ... ...

Abstract	Aim: The aim of this research was to estimate the changing rate of odds ratio (OR) by varying degrees of hepatitis B virus (HBV) underreporting. Background: Data registering is usually associated with extensive errors such as misclassification, under-reporting, missing data due to lack of co-operation, error prone factors, and in medical studies, inadequate diagnosis of physicians or low accuracy of laboratory tests. In the present study, which discuss the actual impact of vaccination on HBV prevention, exposure and response were prone to various errors. Furthermore, some people in the community are possibly infected to the virus while were not reported in the count of patients with HBV infection. Methods: This was a case control study. Cases included patients with HBV referring to the gastroenterology and liver disease research center. The control group included patients without HBV who underwent a fatty liver test at Taleghani hospital laboratory. Bayesian approach and Gibbs sampling algorithm were used to estimate OR. Results: According to results, misclassification rate was mild in raw data, but with an increase in degree of underreporting for 50 and 500 of unreported cases, OR increased by about half and more than double, respectively, while sensitivity diminished strikingly. Conclusion: Our analysis asserted that knowing the degree of underreporting is essential to accurately calculate OR and sensitivity. In addition, despite varying OR in different samples, overall the results were similar according to the pattern of exposure and response association.
Language	English
Publishing date	2020-02-17
Publishing country	Iran
Document type	Journal Article
ZDB-ID	2569124-7
ISSN	2008-4234 ; 2008-2258
ISSN (online)	2008-4234
ISSN	2008-2258
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Article ; Online: Cytoreductive Nephrectomy Following Immune Checkpoint Inhibitor Therapy Is Safe and Facilitates Treatment-free Intervals.

Shapiro, Daniel D / Karam, Jose A / Zemp, Logan / Master, Viraj A / Sexton, Wade J / Ghasemzadeh, Ali / Schmeusser, Benjamin N / Davaro, Facundo / Peak, Taylor / Patil, Dattatraya / Matin, Surena / Spiess, Philippe E / Abel, E Jason

European urology open science

2023 Volume 50, Page(s) 43–46

Abstract: Patients with metastatic renal cell cancer (mRCC) who respond to upfront immune checkpoint inhibitor (ICI) combination therapies may be treated with cytoreductive nephrectomy (CN) to remove radiographically viable primary tumors. Early data for post-ICI ... ...

Abstract	Patients with metastatic renal cell cancer (mRCC) who respond to upfront immune checkpoint inhibitor (ICI) combination therapies may be treated with cytoreductive nephrectomy (CN) to remove radiographically viable primary tumors. Early data for post-ICI CN suggested that ICI therapies induce desmoplastic reactions in some patients, increasing the risk of surgical complications and perioperative mortality. We evaluated perioperative outcomes for 75 consecutive patients treated with post-ICI CN at four institutions from 2017 to 2022. Our cohort of 75 patients had minimal or no residual metastatic disease but radiographically enhancing primary tumors after ICI and were treated with CN. Intraoperative complications were identified in 3/75 patients (4%) and 90-d postoperative complications in 19/75 (25%), including two patients (3%) with high-grade (Clavien ≥III) complications. One patient was readmitted within 30 d. No patients died within 90 d after surgery. Viable tumor was present in all but one specimen. Approximately half of the patients (36/75, 48%) remained off systemic therapy at last follow-up. These data suggest that CN following ICI therapy is safe and associated with low rates of major postoperative complications in appropriately selected patients at experienced centers. Post-ICI CN may facilitate observation without additional systemic therapy in patients without significant residual metastatic disease. Patient summary: Current first-line treatment for patients with kidney cancer that has spread to other sites (metastatic cancer) is immunotherapy. For cases in which metastatic sites respond to this therapy but primary tumor is still detected in the kidney, surgical treatment of the tumor is feasible and has a low rate of complications, and may delay the need for further chemotherapy.
Language	English
Publishing date	2023-02-18
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	3040546-4
ISSN	2666-1683 ; 2058-4881
ISSN (online)	2666-1683
ISSN	2058-4881
DOI	10.1016/j.euros.2023.01.016
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Article ; Online: Optimization of reflux conditions for total flavonoid and total phenolic extraction and enhanced antioxidant capacity in Pandan (Pandanus amaryllifolius Roxb.) using response surface methodology.

Ghasemzadeh, Ali / Jaafar, Hawa Z E

TheScientificWorldJournal

2014 Volume 2014, Page(s) 523120

Abstract: Response surface methodology was applied to optimization of the conditions for reflux extraction of Pandan (Pandanus amaryllifolius Roxb.) in order to achieve a high content of total flavonoids (TF), total phenolics (TP), and high antioxidant capacity ( ... ...

Abstract	Response surface methodology was applied to optimization of the conditions for reflux extraction of Pandan (Pandanus amaryllifolius Roxb.) in order to achieve a high content of total flavonoids (TF), total phenolics (TP), and high antioxidant capacity (AC) in the extracts. Central composite experimental design with three factors and three levels was employed to consider the effects of the operation parameters, including the methanol concentration (MC, 40%-80%), extraction temperature (ET, 40-70°C), and liquid-to-solid ratio (LS ratio, 20-40 mL/g) on the properties of the extracts. Response surface plots showed that increasing these operation parameters induced the responses significantly. The TF content and AC could be maximized when the extraction conditions (MC, ET, and LS ratio) were 78.8%, 69.5°C, and 32.4 mL/g, respectively, whereas the TP content was optimal when these variables were 75.1%, 70°C, and 31.8 mL/g, respectively. Under these optimum conditions, the experimental TF and TP content and AC were 1.78, 6.601 mg/g DW, and 87.38%, respectively. The optimized model was validated by a comparison of the predicted and experimental values. The experimental values were found to be in agreement with the predicted values, indicating the suitability of the model for optimizing the conditions for the reflux extraction of Pandan.
MeSH term(s)	Antioxidants/chemistry ; Antioxidants/pharmacology ; Flavonoids/chemistry ; Pandanaceae/chemistry ; Phenols/chemistry ; Phytochemicals/chemistry ; Phytochemicals/pharmacology ; Plant Extracts/chemistry ; Plant Extracts/pharmacology
Chemical Substances	Antioxidants ; Flavonoids ; Phenols ; Phytochemicals ; Plant Extracts
Language	English
Publishing date	2014-07-23
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2075968-X
ISSN	1537-744X ; 1537-744X
ISSN (online)	1537-744X
ISSN	1537-744X
DOI	10.1155/2014/523120
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Article ; Online: Alpha-Mangostin-Rich Extracts from Mangosteen Pericarp: Optimization of Green Extraction Protocol and Evaluation of Biological Activity.

Ghasemzadeh, Ali / Jaafar, Hawa Z E / Baghdadi, Ali / Tayebi-Meigooni, Amin

Molecules (Basel, Switzerland)

2018 Volume 23, Issue 8

Abstract: Since α-mangostin in mangosteen fruits was reported to be the main compound able to provide natural antioxidants, the microwave-assisted extraction process to obtain high-quality α-mangostin from mangosteen pericarp ( ...

Abstract	Since α-mangostin in mangosteen fruits was reported to be the main compound able to provide natural antioxidants, the microwave-assisted extraction process to obtain high-quality α-mangostin from mangosteen pericarp (
MeSH term(s)	Anti-Bacterial Agents/chemistry ; Antioxidants/chemistry ; Catechin/chemistry ; Coumaric Acids/chemistry ; Flavonoids/chemistry ; Fruit/chemistry ; Garcinia mangostana/chemistry ; Green Chemistry Technology/methods ; Humans ; Phenols/chemistry ; Plant Extracts/chemistry ; Plant Extracts/isolation & purification ; Secondary Metabolism ; Solvents ; Xanthones/chemistry ; Xanthones/isolation & purification
Chemical Substances	Anti-Bacterial Agents ; Antioxidants ; Coumaric Acids ; Flavonoids ; Phenols ; Plant Extracts ; Solvents ; Xanthones ; Catechin (8R1V1STN48) ; ferulic acid (AVM951ZWST) ; mangostin (U6RIV93RU1)
Language	English
Publishing date	2018-07-25
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules23081852
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