179 hasil untuk "Faheem, Muhammad"
Menampilkan 1–20 · 0,66 detik · RSS
-
Artikel Jurnal Teks lengkap
Exploring Pharmacist’s Attitude, Perception, Concern, and Practice Regarding Artificial Intelligence in Pharmacy Practice: Cross Sectional Quantitative Analysis
BACKGROUND: The study aimed to assess pharmacy professionals’ attitudes, perceptions, practices, and concerns about using ChatGPT in routine clinical duties in Pakistan. METHODS: A descriptive cross-sectional study was conducted from 1 September 2024 to 1 April 2025. A self-administered…
-
Artikel Jurnal Teks lengkap
Big datasets of optical-wireless cyber-physical systems for optimizing manufacturing services in the internet of things-enabled industry 4.0
The Industry 4.0 revolution is aimed to optimize the product design according to the customers' demand, quality requirements and economic feasibility. Industry 4.0 employs advanced two-way communication technologies for optimizing the manufacturing process to increase the sales of the products and…
-
Artikel Jurnal Teks lengkap
Navigating the rise of Fusarium meningitis: perspective on the insights and therapeutic approaches
-
Artikel Jurnal Teks lengkap
Multilayer cyberattacks identification and classification using machine learning in internet of blockchain (IoBC)-based energy networks
The world's need for energy is rising due to factors like population growth, economic expansion, and technological breakthroughs. However, there are major consequences when gas and coal are burnt to meet this surge in energy needs. Although these fossil fuels are still essential for meeting energy…
-
Artikel Jurnal Teks lengkap
COVID-19 pandemic: stringent measures of Malaysia and implications for other countries
-
Artikel Jurnal Teks lengkap
Acute toxicity profile and treatment response of image guided hybrid brachytherapy using Venezia applicators in locally advanced cervical cancer: a single-centre experience in Pakistan
OBJECTIVE: To evaluate the efficacy and acute toxicity of hybrid brachytherapy using Venezia applicators in patients with locally advanced squamous cell carcinoma of the cervix. METHODS: This prospective study involved 41 patients treated with external beam radiotherapy (EBRT) followed by…
-
Artikel Jurnal Teks lengkap
Exploring the link between economic policy uncertainty, financial development, ecological innovation and environmental degradation; evidence from OECD countries
Governments have been concerned with balancing economic growth and environmental sustainability. Nevertheless, it has been noted that sustainable development is interconnected with economic variables, the institutional framework, and the efficacy of ecological regulatory measures. This study…
-
Artikel Jurnal Teks lengkap
RAVE-HD: A Novel Sequential Deep Learning Approach for Heart Disease Risk Prediction in e-Healthcare
Background/Objectives: Heart disease (HD) is recently becoming the foremost cause of death worldwide, underlining the importance of early and correct diagnosis to improve patient outcomes. Although Internet of Things (IoT)-enabled machine learning approaches have demonstrated encouraging outcomes…
-
Artikel Jurnal Teks lengkap
Synthesis of Cu(2)O–CuFe(2)O(4) microparticles from Fenton sludge and its application in the Fenton process: the key role of Cu(2)O in the catalytic degradation of phenol
This paper presents the key role of Cu(2)O in Fenton catalysis using Cu(2)O–CuFe(2)O(4) magnetic microparticles, which were prepared using Fenton sludge as an iron source. The catalytic activity of the as-prepared Cu(2)O–CuFe(2)O(4) and CuFe(2)O(4) microparticles was evaluated in a heterogeneous…
-
Artikel Jurnal Teks lengkap
A deep fusion‐based vision transformer for breast cancer classification
Breast cancer is one of the most common causes of death in women in the modern world. Cancerous tissue detection in histopathological images relies on complex features related to tissue structure and staining properties. Convolutional neural network (CNN) models like ResNet50, Inception‐V1, and…
-
Artikel Jurnal Teks lengkap
Development and validation of a reversed-phase HPLC-UV method for simultaneous determination of levosulpiride and omeprazole in human plasma: Applicability of the method for evaluation of pharmacokinetic drug-drug interactions
Levosulpiride and omeprazole are co-prescribed for gastrointestinal disorders associated with depression and anxiety. Objective of the study was to develop a sensitive, robust and simple method for simultaneous analysis of levosulpiride and omeprazole in human plasma and applicability of the method…
-
Artikel Jurnal Teks lengkap
Pericardial synovial sarcoma in a young adult: case report of a rare malignancy
Synovial sarcoma is a rare mesenchymal tumour that mainly presents in adolescents and adults younger than 30. It is characterised by a translocation between chromosomes X and 18, which leads to the expression of SS18:SSX fusion proteins. Although it can arise from various soft tissues, the lower…
-
Artikel Jurnal Teks lengkap
Development of a tetravalent subunit vaccine against dengue virus through a vaccinomics approach
Dengue virus infection (DVI) is a mosquito-borne disease that can lead to serious morbidity and mortality. Dengue fever (DF) is a major public health concern that affects approximately 3.9 billion people each year globally. However, there is no vaccine or drug available to deal with DVI. Dengue…
-
Artikel Jurnal Teks lengkap
Spatio-temporal variations in wheat aphid populations and their natural enemies in four agro-ecological zones of Pakistan
Aphids are major pests of wheat crop in Pakistan inflicting considerable economic losses. A better knowledge of landscape scale spatial distribution of aphids and their natural enemies could be used to improve integrated pest management programs. Therefore, the present study aimed to document…
-
Artikel Jurnal Teks lengkap
Lyme rashes disease classification using deep feature fusion technique
Automatic classification of Lyme disease rashes on the skin helps clinicians and dermatologists’ probe and investigate Lyme skin rashes effectively. This paper proposes a new in‐depth features fusion system to classify Lyme disease rashes. The proposed method consists of two main steps. First…
-
Artikel Jurnal Teks lengkap
Deep learning techniques for Alzheimer's disease detection in 3D imaging: A systematic review
BACKGROUND AND AIMS: Alzheimer's disease (AD) is a degenerative neurological condition that worsens over time and leads to deterioration in cognitive abilities, reduced memory, and, eventually, a decrease in overall functioning. Timely and correct identification of Alzheimer's is essential for…
-
Artikel Jurnal Teks lengkap
Investigation of Natural Compounds for Therapeutic Potential in Streptozotocin-induced Diabetic Neuroinflammation and Neuropathic Pain
Diabetic neuropathy (DN) is a serious microvascular complication of diabetes mellitus (DM) that impacts the nervous system. Several risk factors are involved in the progression and maintenance of DN-associated pain, such as higher expression of various inflammatory mediators, e.g., tumor necrotic…
-
Artikel Jurnal Teks lengkap
Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review
PURPOSE: Alzheimer's disease (AD) is a severe neurological disease that significantly impairs brain function. Timely identification of AD is essential for appropriate treatment and care. This comprehensive review intends to examine current developments in deep learning (DL) approaches with…