30 results for "Muhammad Khalid"
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PRCnet: An efficient model for automatic detection of brain tumor in MRI images
Brain tumors are the most prevalent and life-threatening cancer; an early and accurate diagnosis of brain tumors increases the chances of patient survival and treatment planning. However, manual tumor detection is a complex, cumbersome and time-consuming task and is prone to errors, which relies on…
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Exogenous glycine inhibits root elongation and reduces nitrate-N uptake in pak choi ( Brassica campestris ssp. Chinensis L.)
Nitrogen (N) supply, including NO3--N and organic N in the form of amino acids can influence the morphological attributes of plants. For example, amino acids contribute to plant nutrition; however, the effects of exogenous amino acids on NO3--N uptake and root morphology have received little…
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Drinking-water efficiency, cost of illness, and peri-urban society: An economic household analysis
This study aims to measure the efficacy of drinking water in terms of the economic impacts and risk of illness involved in using perilous water sources. Socio-economic factors were also considered. A multidisciplinary approach was employed to analyze the data, including the cost of illness (COI)…
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Predicting protein cascade expression from H&E images
Protein expression within oncogenic or suppressive pathways is a hallmark indicator of oncogenesis. While traditional AI models in digital pathology attempt to predict singular proteins, there is a need to predict the downstream expression of proteins to indicate the propagation of signals. RNA…
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Elevation of secondary metabolites synthesis in Brassica campestris ssp. chinensis L. via exogenous inoculation of Piriformospora indica with appropriate fertilizer
This work evaluated the impact of exogenous soil inoculation of beneficial fungal strain Piriformospora indica on phytochemical changes and the related genes expression of Chinese cabbage (Brassica campestris ssp. chinensis L.) by greenhouse pot experiments. High performance liquid chromatography…
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Stochastic optimization for minimizing operational costs in smart hybrid energy networks considering electric vehicle
The residential energy hub (REH) effectively satisfies power demands, but the incorporation of renewable energy sources (RES) and the increasing use of plug-in hybrid electric vehicles (PHEVs), with their unpredictable nature, complicates its optimal functionality and challenges the accurate…
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An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system
The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for assessing the effectiveness of fault detection and false alarm tracking methods in intricate industrial operations. This paper presents a novel methodology that employs the Adaptive Crow Search Algorithm (ACSA) to…
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Status and determinants of small farming households' food security and role of market access in enhancing food security in rural Pakistan
In most of the developing countries, lack of resources and little market accessibility are among the major factors that affect small farming household food security. This study aims to investigate the status of small farming households’ food security, and its determinants including the role of…
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Metabolites contributing to Rhizoctonia solani AG-1-IA maturation and sclerotial differentiation revealed by UPLC-QTOF-MS metabolomics
Rhizoctonia solani is a causative agent of sheath blight, which results in huge economic losses every year. During its life cycle, the formation of sclerotia helps Rhizoctonia solani withstand a variety of unfavorable factors. Oxidative stress is a key factor that induces sclerotium formation. The…
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An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment
Fog computing (FC) is an evolving computing technology that operates in a distributed environment. FC aims to bring cloud computing features close to edge devices. The approach is expected to fulfill the minimum latency requirement for healthcare Internet-of-Things (IoT) devices. Healthcare IoT…
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The effectiveness of emerging markets’ legal structure in explaining financial development
This article examines the role of legal structure in explaining financial development in twenty-three emerging markets, which has not been explored in institutional economics literature before. This study relied on Pedroni, and Kao cointegration tests, which is followed by the renowned panel…
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Access authentication via blockchain in space information network
Space Information Network (SIN) has significant benefits of providing communication anywhere at any time. This feature offers an innovative way for conventional wireless customers to access enhanced internet services by using SIN. However, SIN’s characteristics, such as naked links and maximum…
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Influence of Pyrolysis Temperature on Physico-Chemical Properties of Corn Stover ( Zea mays L.) Biochar and Feasibility for Carbon Capture and Energy Balance
This study examined the influence of pyrolysis temperature on biochar characteristics and evaluated its suitability for carbon capture and energy production. Biochar was produced from corn stover using slow pyrolysis at 300, 400 and 500°C and 2 hrs holding time. The experimental biochars were…
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Comprehensive techno-environmental evaluation of an isolated PV/wind/biomass hybrid microgrid employing various battery technologies: A comparative analysis
Renewable energy technologies offer promise for addressing energy access and environmental concerns, especially in remote off-grid areas. This paper presents a comprehensive techno-economic analysis of an off-grid PV/wind/biomass hybrid system. Employing optimization techniques including the osprey…
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Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning
The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining the proliferative rate and assigning grade for pancreatic neuroendocrine tumor (NET). WHO mandates the quantification of Ki67 index by counting at least 500 positive tumor cells in a hotspot…
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Sanitation, water, energy use, and traffic volume affect environmental quality: Go-for-green developmental policies
Carbon emissions are primarily the result of human activity in urban areas. Inadequate sanitary facilities, contaminated drinking water, nonrenewable energy, and high traffic congestion have all impacted the natural ecosystem. Using data from 1975 to 2019, the study assessed the impact of the…
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Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images
In pathology, Immunohistochemical staining (IHC) of tissue sections is regularly used to diagnose and grade malignant tumors. Typically, IHC stain interpretation is rendered by a trained pathologist using a manual method, which consists of counting each positively- and negatively-stained cell under…
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BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images
Breast cancer is the most common malignancy in women, with over 40,000 deaths annually in the United States alone. Clinicians often rely on the breast cancer recurrence score, Oncotype DX (ODX), for risk stratification of breast cancer patients, by using ODX as a guide for personalized therapy…
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Exploring the host response in infected lung organoids using NanoString technology: A statistical analysis of gene expression data
In this study, we used a three-dimensional airway “organ tissue equivalent” (OTE) model at an air-liquid interface (ALI) to mimic human airways. We investigated the effects of three viruses (Influenza A virus (IAV), Human metapneumovirus (MPV), and Parainfluenza virus type 3 (PIV3) on this model…
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OtoMatch: Content-based eardrum image retrieval using deep learning
Acute infections of the middle ear are the most commonly treated childhood diseases. Because complications affect children’s language learning and cognitive processes, it is essential to diagnose these diseases in a timely and accurate manner. The prevailing literature suggests that it is difficult…