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Article ; Online: Smear Layer Removal from the Apical Third Using the Er,Cr:YSGG Photon-induced Photoacoustic Streaming.

Rasheed, Sabreen Sabah / Jawad, Hussien Ali

2022 Volume 16, Issue 4, Page(s) 238–243

Abstract: Introduction: The purpose was to study the influence of Erbium,Chromium:Yttrium Scandium Gallium Garnet (Er,Cr:YSGG) laser at short pulse duration on smear layer removal from apical root third.: Materials and methods: Twenty-four single-rooted ... ...

Abstract	Introduction: The purpose was to study the influence of Erbium,Chromium:Yttrium Scandium Gallium Garnet (Er,Cr:YSGG) laser at short pulse duration on smear layer removal from apical root third. Materials and methods: Twenty-four single-rooted mandibular premolars were used. The roots length was cut to 14 mm and instrumented using the Protaper Gold system to size 40/0.06. The samples were divided into four groups ( Results: After the statistical test, the highest mean percentage was presented in the laser group with 17% EDTA (Group C=85.9804) followed by the laser group with 5.25% NaOCl (Group D=69.7817) and ultrasonic group (Group B=34.5453) respectively and the lowest mean percentage was in the control group (Group A=20.7969). Conclusion: Based on this in vitro study, PIPS technique using Er,Cr:YSGG pulse laser (0.5 W,5 Hz, air and water off) at short pulse duration and 17% EDTA proved effectively in smear layer removal, while the PIPS proved an acceptable result when the laser is used alone assisted by NaOCl.
Language	English
Publishing date	2022-12-30
Publishing country	Iran
Document type	Journal Article
ZDB-ID	2684659-7
ISSN	2008-2746 ; 2008-2746
ISSN (online)	2008-2746
ISSN	2008-2746
DOI	10.22037/iej.v16i4.34544
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Radical scavenging potential of spectrophotometric, spectroscopic, microscopic, and EDX observed zinc oxide nanoparticles from leaves, buds, and flowers extract of Bauhinia Variegata Linn: A thorough comparative insight.

Abbas, Zaheer / Irshad, Muhammad / Ali, Shaukat / Summer, Muhammad / Rasheed, Aamir / Jawad, Muhammad

Microscopy research and technique

2024

Abstract: The present study incorporated an environment-friendly and cost-efficient green synthesis method for fabricating zinc oxide nanoparticles (ZnO-NPs) using various parts (leaves, buds, and flowers) of Bauhinia Variegate Linn. UV-Spectrophotometric analysis ...

Abstract	The present study incorporated an environment-friendly and cost-efficient green synthesis method for fabricating zinc oxide nanoparticles (ZnO-NPs) using various parts (leaves, buds, and flowers) of Bauhinia Variegate Linn. UV-Spectrophotometric analysis was used to confirm the synthesis of ZnO-NPs, which showed an absorption band within 360-380 nm range. Further techniques like FT-IR spectroscopy and (SEM) scanning electron microscopy equipped with a novel EDX were also included to confirm the synthesis, size, and shape of ZnO-NPs. Results obtained by FT-IR showed that the phytochemicals present in the ethanolic extract successfully acted as a capping agent. SEM micrographs confirmed irregularly shaped nanoparticles with an average size of 70-80 nm. The presence of Zinc and Oxygen peaks in EDX also confirmed the successful synthesis of ZnO nanoparticles. The radical scavenging (antioxidant) potential of prepared nanoparticles was also evaluated by DPPH radical assay. The ZnO-NPs obtained from the ethanolic extract of buds showed the highest %RSA (86%) as compared to the flowers (79%) and leaves (76%). The current study findings showed the versatile morphology of all parts of the plant with significant antioxidant potential, establishing the use of Bauhinia Variegate in biological systems for various biomedical applications. RESEARCH HIGHLIGHTS: A thorough comparative analysis of the radical scavenging power of major parts of the Bauhinia Variegate, which is 1st of its kind. Extensive characterization using UV-Vis spectrophotometry, FT-IR, SEM, and EDX to observe the conformational and morphological changes. Analysis of the reduction potential of leaves, buds, and flowers of a single plant for future directions in green synthesis.
Language	English
Publishing date	2024-05-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	1099714-3
ISSN	1097-0029 ; 1059-910X
ISSN (online)	1097-0029
ISSN	1059-910X
DOI	10.1002/jemt.24587
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Article: Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies.

Rasheed, Jawad / Shubair, Raed M

Healthcare (Basel, Switzerland)

2022 Volume 10, Issue 7

Abstract: The global pandemic COVID-19 is still a cause of a health emergency in several parts of the world. Apart from standard testing techniques to identify positive cases, auxiliary tools based on artificial intelligence can help with the identification and ... ...

Abstract	The global pandemic COVID-19 is still a cause of a health emergency in several parts of the world. Apart from standard testing techniques to identify positive cases, auxiliary tools based on artificial intelligence can help with the identification and containment of the disease. The need for the development of alternative smart diagnostic tools to combat the COVID-19 pandemic has become more urgent. In this study, a smart auxiliary framework based on machine learning (ML) is proposed; it can help medical practitioners in the identification of COVID-19-affected patients, among others with pneumonia and healthy individuals, and can help in monitoring the status of COVID-19 cases using X-ray images. We investigated the application of transfer-learning (TL) networks and various feature-selection techniques for improving the classification accuracy of ML classifiers. Three different TL networks were tested to generate relevant features from images; these TL networks include AlexNet, ResNet101, and SqueezeNet. The generated relevant features were further refined by applying feature-selection methods that include iterative neighborhood component analysis (iNCA), iterative chi-square (iChi2), and iterative maximum relevance-minimum redundancy (iMRMR). Finally, classification was performed using convolutional neural network (CNN), linear discriminant analysis (LDA), and support vector machine (SVM) classifiers. Moreover, the study exploited stationary wavelet (SW) transform to handle the overfitting problem by decomposing each image in the training set up to three levels. Furthermore, it enhanced the dataset, using various operations as data-augmentation techniques, including random rotation, translation, and shear operations. The analysis revealed that the combination of AlexNet, ResNet101, SqueezeNet, iChi2, and SVM was very effective in the classification of X-ray images, producing a classification accuracy of 99.2%. Similarly, AlexNet, ResNet101, and SqueezeNet, along with iChi2 and the proposed CNN network, yielded 99.0% accuracy. The results showed that the cascaded feature generator and selection strategies significantly affected the performance accuracy of the classifier.
Language	English
Publishing date	2022-07-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare10071313
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Article ; Online: Genotypic insights to Panton-Valentine leukocidin positive methicillin-resistant

Ijaz, Muhammad / Ghumman, Nauman Zaheer / Javed, Muhammad Umar / Ahmed, Arslan / Rasheed, Hamza / Anwaar, Farwa / Sabir, Muhammad Jawad / Muzammil, Iqra

The Journal of dairy research

2024 , Page(s) 1–3

Abstract: In this research communication we investigate the prevalence and antimicrobial susceptibility ... ...

Abstract	In this research communication we investigate the prevalence and antimicrobial susceptibility of
Language	English
Publishing date	2024-05-06
Publishing country	England
Document type	Journal Article
ZDB-ID	242089-2
ISSN	1469-7629 ; 0022-0299
ISSN (online)	1469-7629
ISSN	0022-0299
DOI	10.1017/S0022029924000244
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Article: Aegilops tauschii presents a genetic roadmap for hexaploid wheat improvement.

Awan, Muhammad Jawad Akbar / Rasheed, Awais / Saeed, Nasir A / Mansoor, Shahid

Trends in genetics : TIG

2022 Volume 38, Issue 4, Page(s) 307–309

Abstract: Modern wheat shows phenomenal evolutional success and adaptability to a range of environments owing to polyploidization; however, during its hybridization process a major genetic gain has been overlooked. Recently, Gaurav et al. emphasized harnessing ... ...

Abstract	Modern wheat shows phenomenal evolutional success and adaptability to a range of environments owing to polyploidization; however, during its hybridization process a major genetic gain has been overlooked. Recently, Gaurav et al. emphasized harnessing genetic diversity from wheat wild progenitor Aegilops tauschii for the improvement of hexaploid wheat through introgression or transgenesis.
MeSH term(s)	Aegilops/genetics ; Triticum/genetics
Language	English
Publishing date	2022-02-05
Publishing country	England
Document type	Journal Article
ZDB-ID	619240-3
ISSN	1362-4555 ; 0168-9525 ; 0168-9479
ISSN (online)	1362-4555
ISSN	0168-9525 ; 0168-9479
DOI	10.1016/j.tig.2022.01.008
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Article ; Online: ISOLATION AND PURIFICATION OF ANTICANCER PROTEIN EXOTXIN A FROM Pseudomonas aeruginosa

L. Q. Jawad / H. A. R. R. Rasheed

The Iraqi Journal of Agricultural science, Vol 53, Iss

2022 Volume 1

Abstract: Toxins produced from bacteria constitute promising antitumor agents in treating different cancer types. Exotoxin A from Pseudomonas aeruginosa is the highly toxic virulence component that bind to specific cell receptors. This study aimed to purify ... ...

Abstract	Toxins produced from bacteria constitute promising antitumor agents in treating different cancer types. Exotoxin A from Pseudomonas aeruginosa is the highly toxic virulence component that bind to specific cell receptors. This study aimed to purify Exotoxin A from clinically isolated Pseudomonas aeruginosa. A total of 150 bacterial isolates were taken from clinical samples (burn and wounds) and were screened on selective media and identified as P. aeruginosa using biochemical analysis and molecular test by PCR amplification technique utilizing specific primer 16srRNA. Exotoxin A produced from P. aeruginosa were screened and purified by two steps that include gel filtration and ion-exchange chromatography. In this study, 68 isolates were characterized as P. aeruginosa, furthermore, real-time PCR proved that these isolates revealed 100% specificity, sensitivity and had positive amplified bands with a size of 249bp. The concentration of Exotoxin A extracted from P. aeruginosa using Trypticase soy broth was 18 Mg/ml. The percent of Purification and recovery for Exotoxin A was 21.4 %, 40% respectively. Clinical Isolates of Pseudomonas aeruginosa have the potential to produce Exotoxin A that is responsible for pathogenicity.
Keywords	bacterial isolates ; biochemical analysis ; PCR ; toxins ; ion exchange ; gel filtration column ; Agriculture (General) ; S1-972 ; Plant culture ; SB1-1110
Subject code	572
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	Baghdad University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Norethisterone-Induced Liver Injury and a Short Survey Among Gynecologists.

Rather, Jawad Iqbal / Maqsood Wani, Muzafar / Lone, Khalid Bin Mushtaq / Rasheed, Rabiya

Cureus

2023 Volume 15, Issue 6, Page(s) e40300

Abstract: Norethisterone, a commonly used oral contraceptive, and treatment for various gynecological disorders such as menorrhagia, abnormal uterine bleeding, and breast cancer, has been associated with multiple liver injuries. These injuries can manifest as ... ...

Abstract	Norethisterone, a commonly used oral contraceptive, and treatment for various gynecological disorders such as menorrhagia, abnormal uterine bleeding, and breast cancer, has been associated with multiple liver injuries. These injuries can manifest as hepatitis or cholestatic types of injury, benign neoplasms, peliosis hepatis, sinusoidal obstruction syndrome, and enlargement of existing hemangiomas. This report presents three cases in which liver enzyme levels were elevated due to norethisterone intake. Two of the cases were individuals undergoing evaluation as potential kidney donors in the nephrology department for their spouses, while the third case involved a patient with chronic kidney disease (CKD) stage-5 on maintenance hemodialysis. Regular follow-up of these patients, particularly due to the significance of two being kidney donors and one having advanced CKD, allowed for early detection of asymptomatic liver enzyme elevation and prompt discontinuation of norethisterone. Prescribing norethisterone is common in gynecological settings, including ours. To assess gynecologists' knowledge regarding norethisterone-related side effects, we conducted an online survey, the results of which are discussed in this report.
Language	English
Publishing date	2023-06-12
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.40300
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Article: Sand cat swarm optimization-based feedback controller design for nonlinear systems.

Tavakol Aghaei, Vahid / SeyyedAbbasi, Amir / Rasheed, Jawad / Abu-Mahfouz, Adnan M

Heliyon

2023 Volume 9, Issue 3, Page(s) e13885

Abstract: The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. ...

Abstract	The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metaheuristic algorithm with an easy-to-implement structure that can efficiently find the optimal solution for optimization problems. The proposed SCSO-based state feedback controller can successfully optimize the control parameters with efficient convergence curve speed. In order to show the performance of the proposed method, three different nonlinear control systems such as an Inverted pendulum, a Furuta pendulum, and an Acrobat robot arm are considered. The control and optimization performances of the proposed SCSO algorithm are compared with well-known metaheuristic algorithms. The simulation results show that the proposed control method can either outperform the compared metaheuristic-based algorithms or have competitive results.
Language	English
Publishing date	2023-02-24
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e13885
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Article ; Online: An Intelligent Anomaly Detection Approach for Accurate and Reliable Weather Forecasting at IoT Edges: A Case Study.

Kaya, Şükrü Mustafa / İşler, Buket / Abu-Mahfouz, Adnan M / Rasheed, Jawad / AlShammari, Abdulaziz

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 5

Abstract: Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid ... ...

Abstract	Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many problems in our daily lives. The background of these problems is rapid digitalization and the lack of sufficient infrastructure to process and analyze very large volumes of data. Inaccurate, incomplete or irrelevant data produced in the IoT detection layer causes weather forecast reports to drift away from the concepts of accuracy and reliability, and as a result, activities based on weather forecasting are disrupted. A sophisticated and difficult talent, weather forecasting needs the observation and processing of enormous volumes of data. In addition, rapid urbanization, abrupt climate changes and mass digitization make it more difficult for the forecasts to be accurate and reliable. Increasing data density and rapid urbanization and digitalization make it difficult for the forecasts to be accurate and reliable. This situation prevents people from taking precautions against bad weather conditions in cities and rural areas and turns into a vital problem. In this study, an intelligent anomaly detection approach is presented to minimize the weather forecasting problems that arise as a result of rapid urbanization and mass digitalization. The proposed solutions cover data processing at the edge of the IoT and include filtering out the missing, unnecessary or anomaly data that prevent the predictions from being more accurate and reliable from the data obtained through the sensors. Anomaly detection metrics of five different machine learning (ML) algorithms, including support vector classifier (SVC), Adaboost, logistic regression (LR), naive Bayes (NB) and random forest (RF), were also compared in the study. These algorithms were used to create a data stream using the time, temperature, pressure, humidity and other sensor-generated information.
Language	English
Publishing date	2023-02-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23052426
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Article ; Online: Primary hyperoxaluria: a case series.

Rather, Jawad Iqbal / Rasheed, Rabiya / Wani, Muzafar Maqsood / Bhat, Mohammad Ashraf / Wani, Imtiyaz Ahmad

Journal of medical case reports

2023 Volume 17, Issue 1, Page(s) 421

Abstract: Background: Primary hyperoxaluria (PH) is a rare genetic disorder characterized by the excessive production and accumulation of oxalate. We present five cases of PH, each exhibiting varying manifestations of the disorder including a case presenting as ... ...

Abstract	Background: Primary hyperoxaluria (PH) is a rare genetic disorder characterized by the excessive production and accumulation of oxalate. We present five cases of PH, each exhibiting varying manifestations of the disorder including a case presenting as postpartum kidney failure. Notably, three of these cases involve a previously unreported mutation. Case presentations: We evaluated five Indian patients who presented with varying manifestations of PH. The first case, a 30 year old woman, presented as post-partum kidney failure and was found to be having oxalate nephropathy precipitated by dietary oxalate overload in the setting of previously undiagnosed PH. Genetic analysis revealed a previously unreported mutation in the alanine-glyoxylate aminotransferase gene. The patient underwent simultaneous kidney liver transplant. The second and third cases, 26 and 28 year old women respectively, were asymptomatic siblings of the first patient, who were diagnosed through screening. The fourth case is a 12 year boy with PH type 1 presenting as nephrolithiasis and rapidly worsening kidney function requiring combined kidney liver kidney transplant. Case 5 is a 6 year old male child with type 2 PH presenting with nephrolithiasis, nephrocalcinosis and normal kidney function. All the patients were born to consanguineous parents. Conclusions: Due to limited clinical suspicion and inadequate diagnostic resources in certain countries with limited resources, it is possible for PH to go undiagnosed. The manifestations of the disease can range from no noticeable symptoms to severe disease. Interestingly, in some individuals with primary hyperoxaluria, the disease may not exhibit any symptoms until it is triggered by a high intake of dietary oxalate.
MeSH term(s)	Male ; Child ; Humans ; Female ; Adult ; Hyperoxaluria, Primary/complications ; Hyperoxaluria, Primary/diagnosis ; Hyperoxaluria, Primary/genetics ; Kidney ; Oxalates ; Kidney Calculi ; Renal Insufficiency
Chemical Substances	Oxalates
Language	English
Publishing date	2023-10-07
Publishing country	England
Document type	Case Reports ; Journal Article
ZDB-ID	2269805-X
ISSN	1752-1947 ; 1752-1947
ISSN (online)	1752-1947
ISSN	1752-1947
DOI	10.1186/s13256-023-04129-z
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