101 hasil untuk "Sohaib, Muhammad"
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Does labour epidural slow the progress of labour and lead to complications? Obstetricians’ perception working in private and public sector teaching hospitals in a developing country
BACKGROUND AND AIMS: Obstetricians play a major role in the decision making for provision of analgesia for the woman in labour. As epidural analgesia (EA) is the most preferred technique, it is important to know obstetricians' perception regarding its effect on progress of labour and associated…
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An Insight of Meat Industry in Pakistan with Special Reference to Halal Meat: A Comprehensive Review
Livestock is considered central component in agricultural sector of Pakistan, provides employment to more than 8 million families. Meat and meat products holds pivotal significance in meeting dietary requirements serving as major protein source and provide essential vitamins and minerals. Globally…
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Management of spinal-induced hypotension for elective caesarean section: A survey of practices among anesthesiologists from a developing country
BACKGROUND: In developing countries, more than half of the anesthesia-related maternal deaths are related to spinal hypotension. OBJECTIVE: To explore the practices of management of spinal induced hypotension with respect to fluid and vasopressor administration among anesthesiologists from a…
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Role of social media marketing activities in China’s e-commerce industry: A stimulus organism response theory context
Social media marketing has become one of the most significant growth paths for many businesses in today’s world. However, many companies are still unclear about using social media marketing to get their advantages, particularly in an e-commerce environment. In this background, this study is…
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An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures
To prevent potential instability the early detection of cracks is imperative due to the prevalent use of concrete in critical infrastructure. Automated techniques leveraging artificial intelligence, machine learning, and deep learning as the traditional manual inspection methods are time-consuming…
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A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
Bearing fault diagnosis is imperative for the maintenance, reliability, and durability of rotary machines. It can reduce economical losses by eliminating unexpected downtime in industry due to failure of rotary machines. Though widely investigated in the past couple of decades, continued…
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A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions
Rolling element bearings are a vital part of rotating machines and their sudden failure can result in huge economic losses as well as physical causalities. Popular bearing fault diagnosis techniques include statistical feature analysis of time, frequency, or time-frequency domain data. These…
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Frequency of extra pulmonary complications in critically ill COVID-19 patients and their association with inflammatory markers and hypoxia: Retrospective analysis at a tertiary care hospital in Karachi, Pakistan
BACKGROUND AND OBJECTIVE: This study aimed to determine the incidence of extra pulmonary complications among critically ill COVID-19 patients requiring invasive mechanical ventilation and association of these complications with various inflammatory markers and degree of hypoxia. METHODS: A…
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Exploring Therapeutic Potential of Pleurotus ostreatus and Agaricus bisporus Mushrooms against Hyperlipidemia and Oxidative Stress Using Animal Model
The mushrooms oyster (Pleurotus ostreatus) and white button (Agaricus bisporus) contain bioactive compounds that have potential beneficial effects on hypercholesterolemia and cardiovascular diseases. In this study, hypolipidemic and antioxidative potential of these mushrooms’ extract were explored…
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An Explainable AI-Based Fault Diagnosis Model for Bearings
In this paper, an explainable AI-based fault diagnosis model for bearings is proposed with five stages, i.e., (1) a data preprocessing method based on the Stockwell Transformation Coefficient (STC) is proposed to analyze the vibration signals for variable speed and load conditions, (2) a…
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A double-blind randomized control trial to compare the effect of varying doses of intrathecal fentanyl on clinical efficacy and side effects in parturients undergoing cesarean section
BACKGROUND AND AIMS: It is a common practice to add intrathecal lipophilic opioids to local anesthetics to improve the quality of subarachnoid block. This study was designed to find a dose of intrathecal fentanyl, which can improve the quality of surgical anesthesia with minimal side effects in…
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Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods
Pressure vessels (PV) are designed to hold liquids, gases, or vapors at high pressures in various industries, but a ruptured pressure vessel can be incredibly dangerous if cracks are not detected in the early stage. This paper proposes a robust crack identification technique for pressure vessels…
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Role of Nanotechnology in Photocatalysis
World is facing two major problems, day by day demand of energy and pollution on the planet increasing with the advancement of human activities. These are real problems not only for developing countries but also for developed civilization. Present energy sources are not enough to fulfill the demand…
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Clinical Characteristics and Outcomes of Neurosurgical Patients at a Level III Intensive Care Unit in Pakistan: A Retrospective Cohort Study
Objective Neurosurgical patients account for the majority of cases across all surgical specialties that are admitted to the surgical intensive care unit (ICU) at our institution. The goal of this study was to analyze factors leading to ICU admission, type of neurosurgical intervention, length of…
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Quality of life in cutaneous leishmaniasis patients in Khyber Pakhtunkhwa, Pakistan
OBJECTIVE: To determine the impact of leishmaniasis on the quality of life of patients visiting the district headquarter hospital in District Khyber, Khyber Pakhtunkhwa, Pakistan. METHODS: A cross-sectional exploratory study was conducted in District Headquarter Hospital of Khyber District, Khyber…
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3D-Organoid-SwinNet: High-content profiling of 3D organoids
Profiling of Patient-Derived organoids is necessary for drug screening and precision medicine. This step requires accurate segmentation of three-dimensional cellular structures followed by protein readouts. While fully Convolutional Neural Networks are widely used in medical image segmentation…
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COUPLED SWIN TRANSFORMERS AND MULTI-APERTURES NETWORK(CSTA-NET) IMPROVES MEDICAL IMAGE SEGMENTATION
Vision Transformers have outperformed traditional convolution-based frameworks across various visual tasks, including, but not limited to, the segmentation of 3D medical images. To further advance this area, this study introduces the Coupled Swin Transformers and Multi-Apertures Networks…
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Cancer in Balochistan, Pakistan, 2020–2022: A Descriptive Study
INTRODUCTION: Between 2020 and 2022, Pakistan’s population reached 235.7 million, with an average of 120.6 million men and 115.1 million women each year. Balochistan is in the southwest of Pakistan and is the fourth most populous region in the country, with an average annual population estimated at…
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Inguinal Dermoid Cyst Associated With Ipsilateral Undescended Testis in an Adolescent Male: A Case Report
Groin swellings are the most frequent presenting clinical signs, which most frequently arise due to an inguinal hernia or lymphadenopathy. There are also rare congenital lesions, such as dermoid cysts, which can present similarly to common lesions, also leading to a diagnostic challenge. Inguinal…