91 hasil untuk "Sadiq"
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Artikel Jurnal Teks lengkap
Topological Vulnerability Evaluation Model Based on Fractal Dimension of Complex Networks
With an increasing emphasis on network security, much more attentions have been attracted to the vulnerability of complex networks. In this paper, the fractal dimension, which can reflect space-filling capacity of networks, is redefined as the origin moment of the edge betweenness to obtain a more…
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A machine learning based variable selection algorithm for binary classification of perinatal mortality
The identification of significant predictors with higher model performance is the key objective in classification domain. A machine learning-based variable selection technique termed as CARS-Logistic model is proposed by coupling competitive adaptive re-weighted sampling(CARS) and logistic…
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Identifying the factors associated with cesarean section modeled with categorical correlation coefficients in partial least squares
Cesarean section (CS) is associated with maternal morbidity and mortality in developing countries. This study is conducted to assess factors associated with CS in Pakistan using partial least squares (PLS) algorithm, where categorical factors are modeled. Nationally representative maternal data…
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Pattern of diseases and clinical outcomes in medical intensive care unit at a tertiary hospital in northeastern Tanzania: A three-year retrospective study
Background: The availability of medical intensive care unit (MICU) services is limited, which is the main obstacle to providing optimal care to critically ill patients. Describing disease patterns and clinical outcomes will help make better use of the limited resources. This retrospective study was…
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Assessing the knowledge and skill of vaccination staff at Adult Vaccination Counters for COVID-19 vaccines: Simulated client method
The Government of Pakistan has established Adult Vaccination Counters (AVCs) to immunize general population with COVID-19 vaccine. Different brands of COVID-19 vaccines have different protocols. It is important that the knowledge and skills of the vaccination staff at AVCs should be accurate. To…
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An EPR model for predicting the bearing capacity of single and double-strip foundations near earth slope crests
It is imperative to understand how foundations behave on earthen slopes to accurately predict their allowable carrying capacity in geotechnical engineering. A comprehensive finite element (FE) simulation with PLAXIS 2D was conducted to assess the effects of various parameters on the bearing…
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Resource-aware DBSCAN-based re-clustering in hybrid C-V2X/DSRC vehicular networks
5G wireless networks are paying increasing attention to Vehicle to Everything (V2X) communications as the number of autonomous vehicles rises. In V2X applications, a number of demanding criteria such as latency, stability, and resource availability have emerged. Due to limited licensed radio…
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SiBot: A hybrid framework for fine-grained semantic attribution of AI-generated text and its production deployment
Large language models such as ChatGPT, Gemini, Claude and DeepSeek now generate text that is routinely indistinguishable from human writing, yet virtually every deployed detector answers only one binary question: human or AI. This is the wrong question for the settings that matter most. Digital…
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Absence of Association between Behavior Problems in Childhood and Hypertension in Midlife
Background: It is known that behavior in childhood is associated with certain physical and mental health problems in midlife. However, there is limited evidence on the role of childhood behavior problems in the development of hypertension in adulthood. The present study aimed to examine whether…
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The importance of human factors in therapeutic dietary errors of a hospital: A mixed-methods study
An accurate therapeutic diet can help people improve their medical condition. Any discrepancy in this regard could jeopardize a patient’s clinical condition. This study was aimed to determine prevalence of dietary errors among in-patients at an international private hospital’s food department, and…
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Optimal and Numerical Solutions for an MHD Micropolar Nanofluid between Rotating Horizontal Parallel Plates
The present analysis deals with flow and heat transfer aspects of a micropolar nanofluid between two horizontal parallel plates in a rotating system. The governing partial differential equations for momentum, energy, micro rotation and nano-particles concentration are presented. Similarity…
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Somatic Antigens of Tropical Liver Flukes Ameliorate Collagen-Induced Arthritis in Wistar Rats
Parasitic helminths polarize immune response of their vertebrate hosts towards anti-inflammatory Th2 type and therefore it is hypothesized that they may suppress the inflammatory conditions in autoimmune disorders. The present study was undertaken to investigate in vivo immunomodulatory and…
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A semi-empirical model of the energy balance closure in the surface layer
It has been hypothesized that the energy balance closure problem of single-tower eddy-covariance measurements is linked to large-scale turbulent transport. In order to shed light on this problem, we investigate the functional dependence of the normalized residual for the potential temperature and…
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Development of cookies from wheat-yellow/white maize composite blends and their physical and sensory evaluation
Wheat is a staple food in many countries globally, but it alone cannot meet the dietary demands of the growing population. To address this, there is an increasingly critical need to integrate alternative cereals into diets, enhancing nutritional diversity and reducing reliance on imports. In…
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Enhancing multiclass COVID-19 prediction with ESN-MDFS: Extreme smart network using mean dropout feature selection technique
Deep learning and artificial intelligence offer promising tools for improving the accuracy and efficiency of diagnosing various lung conditions using portable chest x-rays (CXRs). This study explores this potential by leveraging a large dataset containing over 6,000 CXR images from publicly…
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SCARS-LOGISTIC: A novel variable selection approach for binary classification model to identify the significant determinants of sexually transmitted infections
Variable selection methods are very popular, especially in the field of big data with large predictors. These procedures improve the accuracy and performance of the model by eliminating irrelevant and redundant variables. The main contribution of this study is to couple a logit model with a novel…
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Factors affecting maternal nutrition and health: A qualitative study in a matrilineal community in Indonesia
The Minangkabau people of West Sumatra in Indonesia are renowned for their matrilineal culture with property and land passing down from mother to daughter. Despite there being a fairly balanced social status for women in the community, the impact of health inequalities is uneven. This study was…
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Traffic flow forecasting using natural selection based hybrid Bald Eagle Search—Grey Wolf optimization algorithm
In a fast-moving world, transportation consumes most of the time and resources. Traffic prediction has become a thrust application for machine learning algorithms to overcome the hurdles faced by congestion. Its accuracy determines the selection and existence of machine learning algorithms. The…
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In-vitro studies of phytochemical, Antioxidant, Antibacterial and Enzymatic inhibition of Oxalis corniculata whole plant from South Waziristan Tribal District Pakistan
Purpose: To analyze phytochemical composition, antioxidant potential, antimicrobial activity and α-glucosidase, cholinesterase and Monoamine oxidase inhibitory potential of Oxalis corniculata extract. Methods: Phytochemicals of the 70% ethanolic extract of O. corniculata were quantitatively…
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Exploring women’s experience of healthcare use during pregnancy and childbirth to understand factors contributing to perinatal deaths in Pakistan: A qualitative study
Understanding key healthcare system challenges experienced by women during pregnancy and birth is crucial to scale up available interventions and reduce perinatal mortality. A community perspective about preferences and experience of care during this period can be used to improve community-based…