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Article ; Online: Quinazolin-4(3 H )-ones

Muhammad Sharif

Applied Sciences, Vol 10, Iss 2815, p

A Tangible Synthesis Protocol via an Oxidative Olefin Bond Cleavage Using Metal-Catalyst Free Conditions

2020 Volume 2815

Abstract: An efficient and selective oxidative procedure for the synthesis of quinazolinones from readily available o -aminobenzamides and styrenes was developed. A number of potentially pharmacologically relevant quinazolinones were prepared using metal- and ... ...

Abstract	An efficient and selective oxidative procedure for the synthesis of quinazolinones from readily available o -aminobenzamides and styrenes was developed. A number of potentially pharmacologically relevant quinazolinones were prepared using metal- and catalyst-free conditions. The synthesis procedure highlights the sustainable operation, low-priced, free from perilous materials, green solvent and environmental affability. The synthesized products were isolated in moderate to excellent yields.
Keywords	catalysis ; metal-free ; catalyst-free ; quinazolinone ; styrene ; o -Aminobenzamide ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Language	English
Publishing date	2020-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Anesthetic Management of Cesarean Section in the Case of a Sextuplet Pregnancy and Polycystic Ovarian Syndrome.

Ethy Ahammedunni, Abduljaleel / Mahmoud Nour, Nadine Borhan / Allah Dad, Muhammad Sharif

Cureus

2024 Volume 16, Issue 1, Page(s) e51473

Abstract: Cesarean section in a mother with a sextuplet pregnancy is challenging for an anesthesiologist. Several perioperative complications are likely because of the overdistended uterus and associated changes in the mother. We are reporting the case of a woman ... ...

Abstract	Cesarean section in a mother with a sextuplet pregnancy is challenging for an anesthesiologist. Several perioperative complications are likely because of the overdistended uterus and associated changes in the mother. We are reporting the case of a woman with a sextuplet pregnancy who came for an emergency cesarean. She also had a background history of polycystic ovarian syndrome (PCOS) and ovulation induction for conception. Early pregnancy was complicated by ovarian hyperstimulation syndrome. She required cervical cerclage in early pregnancy. The emergency cesarean was done as she went into preterm labor and six premature babies were delivered at 29 weeks of gestation. Cesarean was done under spinal anesthesia. Preeclampsia and postpartum hemorrhage complicated the perioperative period.
Language	English
Publishing date	2024-01-01
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.51473
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An optimized features selection approach based on Manta Ray Foraging Optimization (MRFO) method for parasite malaria classification

Javeria Amin / Muhammad Sharif / Ghulam Ali Mallah / Steven L. Fernandes

Frontiers in Public Health, Vol

2022 Volume 10

Abstract: Malaria is a serious and lethal disease that has been reported by the World Health Organization (WHO), with an estimated 219 million new cases and 435,000 deaths globally. The most frequent malaria detection method relies mainly on the specialists who ... ...

Abstract	Malaria is a serious and lethal disease that has been reported by the World Health Organization (WHO), with an estimated 219 million new cases and 435,000 deaths globally. The most frequent malaria detection method relies mainly on the specialists who examine the samples under a microscope. Therefore, a computerized malaria diagnosis system is required. In this article, malaria cell segmentation and classification methods are proposed. The malaria cells are segmented using a color-based k-mean clustering approach on the selected number of clusters. After segmentation, deep features are extracted using pre-trained models such as efficient-net-b0 and shuffle-net, and the best features are selected using the Manta-Ray Foraging Optimization (MRFO) method. Two experiments are performed for classification using 10-fold cross-validation, the first experiment is based on the best features selected from the pre-trained models individually, while the second experiment is performed based on the selection of best features from the fusion of extracted features using both pre-trained models. The proposed method provided an accuracy of 99.2% for classification using the linear kernel of the SVM classifier. An empirical study demonstrates that the fused features vector results are better as compared to the individual best-selected features vector and the existing latest methods published so far.
Keywords	clusters ; malaria ; K-mean ; MRFO ; features ; Public aspects of medicine ; RA1-1270
Subject code	006
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-Class Classification of Breast Cancer Using 6B-Net with Deep Feature Fusion and Selection Method

Muhammad Junaid Umer / Muhammad Sharif / Seifedine Kadry / Abdullah Alharbi

Journal of Personalized Medicine, Vol 12, Iss 683, p

2022 Volume 683

Abstract: Breast cancer has now overtaken lung cancer as the world’s most commonly diagnosed cancer, with thousands of new cases per year. Early detection and classification of breast cancer are necessary to overcome the death rate. Recently, many deep learning- ... ...

Abstract	Breast cancer has now overtaken lung cancer as the world’s most commonly diagnosed cancer, with thousands of new cases per year. Early detection and classification of breast cancer are necessary to overcome the death rate. Recently, many deep learning-based studies have been proposed for automatic diagnosis and classification of this deadly disease, using histopathology images. This study proposed a novel solution for multi-class breast cancer classification from histopathology images using deep learning. For this purpose, a novel 6B-Net deep CNN model, with feature fusion and selection mechanism, was developed for multi-class breast cancer classification. For the evaluation of the proposed method, two large, publicly available datasets, namely, BreaKHis, with eight classes containing 7909 images, and a breast cancer histopathology dataset, containing 3771 images of four classes, were used. The proposed method achieves a multi-class average accuracy of 94.20%, with a classification training time of 226 s in four classes of breast cancer, and a multi-class average accuracy of 90.10%, with a classification training time of 147 s in eight classes of breast cancer. The experimental outcomes show that the proposed method achieves the highest multi-class average accuracy for breast cancer classification, and hence, the proposed method can effectively be applied for early detection and classification of breast cancer to assist the pathologists in early and accurate diagnosis of breast cancer.
Keywords	deep features selection ; machine learning ; breast cancer ; multi-class ; fusion ; 6B-Net ; Medicine ; R
Subject code	006
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Pattern of Skin Diseases Among Patients Visiting a Private Tertiary Care Hospital in Karachi

Sana Siddiqui / Maryam Muhammad Sharif / Feroza Fatima / Erum Ashraf

Journal of the Dow University of Health Sciences, Vol 15, Iss

2022 Volume 1

Abstract: Objective: To determine the pattern of skin diseases among individuals attended dermatology camp in a private tertiary care hospital in the winter season in Karachi, Pakistan. Methods: A descriptive cross-sectional study was conducted at the Memon ... ...

Abstract	Objective: To determine the pattern of skin diseases among individuals attended dermatology camp in a private tertiary care hospital in the winter season in Karachi, Pakistan. Methods: A descriptive cross-sectional study was conducted at the Memon Medical Institute Hospital in Karachi, where data were retrieved from a full day, free dermatology camp that was set up in the last week of December 2019. Skin diseases were classified according to the International Classification of Diseases (ICD-10). All the 283 patients included in the study were given a clinical diagnosis, based on their history, and examination. Relevant socio-demographic data and details of the diagnosis were recorded and analyzed in a predesigned performa and a detailed statistical analysis was done. Results: Of the 100 infectious conditions, fungal and parasitic were the most common diseases, i.e., 51 (51%) and 38 (38%) respectively, while viral infections were found in 7 (7%) and bacterial in 4 (4%) of the infectious dermatosis. Of 171 non-infectious conditions, eczema was the most common disorder (n=55, 32.2%), followed by acne in (n=38, 22.2%) cases, pigmentary disorders in (n=29, 17%) cases, hair loss in 18 (10.5%), and papulosquamous disorders in (n=13, 7.6%), whereas miscellaneous non-infectious diseases were found in 18 (10.5%) cases. Conclusion: Our study concludes the higher prevalence of non-infectious disorders than infectious skin diseases in the winter season, with eczemas and fungal infections being predominately seen overall. Regular free dermatology camps will help in better assessment of disease pattern and awareness of skin conditions among the public.
Keywords	Skin disease pattern ; Infective ; Non-infective ; non-infectious skin diseases ; Medicine ; R
Subject code	610 ; 630
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Dow University of Health Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Pattern of Skin Diseases Among Patients Visiting a Private Tertiary Care Hospital in Karachi

Sana Siddiqui / Maryam Muhammad Sharif / Feroza Fatima / Erum Ashraf

Journal of the Dow University of Health Sciences, Vol 15, Iss

2022 Volume 1

Abstract	Objective: To determine the pattern of skin diseases among individuals attended dermatology camp in a private tertiary care hospital in the winter season in Karachi, Pakistan. Methods: A descriptive cross-sectional study was conducted at the Memon Medical Institute Hospital in Karachi, where data were retrieved from a full day, free dermatology camp that was set up in the last week of December 2019. Skin diseases were classified according to the International Classification of Diseases (ICD-10). All the 283 patients included in the study were given a clinical diagnosis, based on their history, and examination. Relevant socio-demographic data and details of the diagnosis were recorded and analyzed in a predesigned performa and a detailed statistical analysis was done. Results: Of the 100 infectious conditions, fungal and parasitic were the most common diseases, i.e., 51 (51%) and 38 (38%) respectively, while viral infections were found in 7 (7%) and bacterial in 4 (4%) of the infectious dermatosis. Of 171 non-infectious conditions, eczema was the most common disorder (n=55, 32.2%), followed by acne in (n=38, 22.2%) cases, pigmentary disorders in (n=29, 17%) cases, hair loss in 18 (10.5%), and papulosquamous disorders in (n=13, 7.6%), whereas miscellaneous non-infectious diseases were found in 18 (10.5%) cases. Conclusion: Our study concludes the higher prevalence of non-infectious disorders than infectious skin diseases in the winter season, with eczemas and fungal infections being predominately seen overall. Regular free dermatology camps will help in better assessment of disease pattern and awareness of skin conditions among the public.
Keywords	Skin disease pattern ; Infective ; Non-infective ; non-infectious skin diseases ; Medicine ; R
Subject code	610 ; 630
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Dow University of Health Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Single Channel Image Enhancement (SCIE) of White Blood Cells Based on Virtual Hexagonal Filter (VHF) Designed over Square Trellis

Shahid Rasheed / Mudassar Raza / Muhammad Sharif / Seifedine Kadry / Abdullah Alharbi

Journal of Personalized Medicine, Vol 12, Iss 1232, p

2022 Volume 1232

Abstract: White blood cells (WBCs) are the important constituent of a blood cell. These blood cells are responsible for defending the body against infections. Abnormalities identified in WBC smears lead to the diagnosis of disease types such as leukocytosis, ... ...

Abstract	White blood cells (WBCs) are the important constituent of a blood cell. These blood cells are responsible for defending the body against infections. Abnormalities identified in WBC smears lead to the diagnosis of disease types such as leukocytosis, hepatitis, and immune system disorders. Digital image analysis for infection detection at an early stage can help fast and precise diagnosis, as compared to manual inspection. Sometimes, acquired blood cell smear images from an L2-type microscope are of very low quality. The manual handling, haziness, and dark areas of the image become problematic for an efficient and accurate diagnosis. Therefore, WBC image enhancement needs attention for an effective diagnosis of the disease. This paper proposed a novel virtual hexagonal trellis (VHT)-based image filtering method for WBC image enhancement and contrast adjustment. In this method, a filter named the virtual hexagonal filter (VHF), of size 3 × 3, and based on a hexagonal structure, is formulated by using the concept of the interpolation of real and square grid pixels. This filter is convolved with WBC ALL-IBD images for enhancement and contrast adjustment. The proposed filter improves the results both visually and statically. A comparison with existing image enhancement approaches proves the validity of the proposed work.
Keywords	WBC ; hexagonal filters ; virtual pixels ; image enhancement ; grayscale images ; Medicine ; R
Subject code	629
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Porcine sapovirus-induced RIPK1-dependent necroptosis is proviral in LLC-PK cells.

Muhammad Sharif / Yeong-Bin Baek / Thu Ha Nguyen / Mahmoud Soliman / Kyoung-Oh Cho

PLoS ONE, Vol 18, Iss 2, p e

2023 Volume 0279843

Abstract: Sapoviruses belonging to the genus Sapovirus within the family Caliciviridae are commonly responsible for severe acute gastroenteritis in both humans and animals. Caliciviruses are known to induce intrinsic apoptosis in vitro and in vivo, however, ... ...

Abstract	Sapoviruses belonging to the genus Sapovirus within the family Caliciviridae are commonly responsible for severe acute gastroenteritis in both humans and animals. Caliciviruses are known to induce intrinsic apoptosis in vitro and in vivo, however, calicivirus-induced necroptosis remains to be fully elucidated. Here, we demonstrate that infection of porcine kidney LLC-PK cells with porcine sapovirus (PSaV) Cowden strain as a representative of caliciviruses induces receptor-interacting protein kinase 1 (RIPK1)-dependent necroptosis and acts as proviral compared to the antiviral function of PSaV-induced apoptosis. Infection of LLC-PK cells with PSaV Cowden strain showed that the interaction of phosphorylated RIPK1 (pRIPK1) with RIPK3 (pRIPK3), mixed lineage kinase domain-like protein (pMLKL) increased in a time-dependent manner, indicating induction of PSaV-induced RIPK1-dependent necroptosis. Interfering of PSaV-infected cells with each necroptotic molecule (RIPK1, RIPK3, or MLKL) by treatment with each specific chemical inhibitor or knockdown with each specific siRNA significantly reduced replication of PSaV but increased apoptosis and cell viability, implying proviral action of PSaV-induced necroptosis. In contrast, treatment of PSaV-infected cells with pan-caspase inhibitor Z-VAD-FMK increased PSaV replication and necroptosis, indicating an antiviral action of PSaV-induced apoptosis. These results suggest that PSaV-induced RIPK1-dependent necroptosis and apoptosis‒which have proviral and antiviral effects, respectively‒counterbalanced each other in virus-infected cells. Our study contributes to understanding the nature of PSaV-induced necroptosis and apoptosis and will aid in developing efficient and affordable therapies against PSaV and other calicivirus infections.
Keywords	Medicine ; R ; Science ; Q
Subject code	570
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of Cholecalciferol Levels on Productive Traits, Egg Quality, and Blood Biochemistry in Late-Phase Laying Hens

Muhammad SABIR / Javid IQBAL / Sohail Hassan KHAN / Muhammad SHARIF / Muhammad ASHRAF / Zia-Ur REHMAN

Acta Veterinaria Eurasia, Vol 49, Iss 1, Pp 13-

2023 Volume 18

Keywords	Veterinary medicine ; SF600-1100
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	AVES
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Porcine sapovirus-induced RIPK1-dependent necroptosis is proviral in LLC-PK cells

Muhammad Sharif / Yeong-Bin Baek / Thu Ha Nguyen / Mahmoud Soliman / Kyoung-Oh Cho

PLoS ONE, Vol 18, Iss

2023 Volume 2

Abstract	Sapoviruses belonging to the genus Sapovirus within the family Caliciviridae are commonly responsible for severe acute gastroenteritis in both humans and animals. Caliciviruses are known to induce intrinsic apoptosis in vitro and in vivo, however, calicivirus-induced necroptosis remains to be fully elucidated. Here, we demonstrate that infection of porcine kidney LLC-PK cells with porcine sapovirus (PSaV) Cowden strain as a representative of caliciviruses induces receptor-interacting protein kinase 1 (RIPK1)-dependent necroptosis and acts as proviral compared to the antiviral function of PSaV-induced apoptosis. Infection of LLC-PK cells with PSaV Cowden strain showed that the interaction of phosphorylated RIPK1 (pRIPK1) with RIPK3 (pRIPK3), mixed lineage kinase domain-like protein (pMLKL) increased in a time-dependent manner, indicating induction of PSaV-induced RIPK1-dependent necroptosis. Interfering of PSaV-infected cells with each necroptotic molecule (RIPK1, RIPK3, or MLKL) by treatment with each specific chemical inhibitor or knockdown with each specific siRNA significantly reduced replication of PSaV but increased apoptosis and cell viability, implying proviral action of PSaV-induced necroptosis. In contrast, treatment of PSaV-infected cells with pan-caspase inhibitor Z-VAD-FMK increased PSaV replication and necroptosis, indicating an antiviral action of PSaV-induced apoptosis. These results suggest that PSaV-induced RIPK1-dependent necroptosis and apoptosis‒which have proviral and antiviral effects, respectively‒counterbalanced each other in virus-infected cells. Our study contributes to understanding the nature of PSaV-induced necroptosis and apoptosis and will aid in developing efficient and affordable therapies against PSaV and other calicivirus infections.
Keywords	Medicine ; R ; Science ; Q
Subject code	570
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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