14 results on '"Uzair Ali Khan"'
Search Results
2. Machine learning models to predict diffuse solar radiation based on diffuse fraction and diffusion coefficient models for humid-subtropical climatic zone of India
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Shahid Husain and Uzair Ali Khan
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Solar radiation ,Diffuse fraction ,Diffusion coefficient ,Clearness index ,Machine learning ,India ,Renewable energy sources ,TJ807-830 ,Environmental engineering ,TA170-171 - Abstract
In the present work, twelve machine learning (ML) models are developed for assessment of monthly average diffuse solar radiation (DSR) with solitary input forecaster as clearness index. Two categories of ML models were demarcated (i.e. diffusion coefficient and diffuse fraction) with six models for each group. The correctness of models was examined as a function of some frequently used statistical pointers. A comparision was also done between developed ML models and some well-recognised models available from previous works. The results show that ML models perform very well in comparision to models available in the literature. The top-performing models in category 1 are the k-nearest neighbours (KNN) model for both training and testing data. In category 2, for training data random forest (RF) model perform well while for testing data support vector regression (SVR) models perform well. The performance can be slightly improved by using two or more input parameters such as temperature difference, relative humidity and relative sunshine along with clearness index as input. Thus, ML models can be used to estimate DSR in the humid-subtropical climate of India.
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- 2021
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3. Performance of Two Variable Machine Learning Models to Forecast Monthly Mean Diffuse Solar Radiation across India under Various Climate Zones
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Jawed Mustafa, Shahid Husain, Saeed Alqaed, Uzair Ali Khan, and Basharat Jamil
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machine learning ,diffuse fraction ,sunshine ratio ,clearness index ,diffusion coefficient ,Technology - Abstract
For the various climatic zones of India, machine learning (ML) models are created in the current work to forecast monthly-average diffuse solar radiation (DSR). The long-term solar radiation data are taken from Indian Meteorological Department (IMD), Pune, provided for 21 cities that span all of India’s climatic zones. The diffusion coefficient and diffuse fraction are the two groups of ML models with dual input parameters (sunshine ratio and clearness index) that are built and compared (each category has seven models). To create ML models, two well-known ML techniques, random forest (RF) and k-nearest neighbours (KNN), are used. The proposed ML models are compared with well-known models that are found in the literature. The ML models are ranked according to their overall and within predictive power using the Global Performance Indicator (GPI). It is discovered that KNN models generally outperform RF models. The results reveal that in diffusion coefficient models perform well than diffuse fraction models. Moreover, functional form 2 is the best followed by form 6. The ML models created here can be effectively used to accurately forecast DSR in various climates.
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- 2022
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4. Risk of colorectal cancer in patients with diabetes mellitus: A Swedish nationwide cohort study.
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Uzair Ali Khan, Mahdi Fallah, Kristina Sundquist, Jan Sundquist, Hermann Brenner, and Elham Kharazmi
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Medicine - Abstract
BackgroundColorectal cancer (CRC) incidence is increasing among young adults below screening age, despite the effectiveness of screening in older populations. Individuals with diabetes mellitus are at increased risk of early-onset CRC. We aimed to determine how many years earlier than the general population patients with diabetes with/without family history of CRC reach the threshold risk at which CRC screening is recommended to the general population.Methods and findingsA nationwide cohort study (follow-up:1964-2015) involving all Swedish residents born after 1931 and their parents was carried out using record linkage of Swedish Population Register, Cancer Registry, National Patient Register, and Multi-Generation Register. Of 12,614,256 individuals who were followed between 1964 and 2015 (51% men; age range at baseline 0-107 years), 162,226 developed CRC, and 559,375 developed diabetes. Age-specific 10-year cumulative risk curves were used to draw conclusions about how many years earlier patients with diabetes reach the 10-year cumulative risks of CRC in 50-year-old men and women (most common age of first screening), which were 0.44% and 0.41%, respectively. Diabetic patients attained the screening level of CRC risk earlier than the general Swedish population. Men with diabetes reached 0.44% risk at age 45 (5 years earlier than the recommended age of screening). In women with diabetes, the risk advancement was 4 years. Risk was more pronounced for those with additional family history of CRC (12-21 years earlier depending on sex and benchmark starting age of screening). The study limitations include lack of detailed information on diabetes type, lifestyle factors, and colonoscopy data.ConclusionsUsing high-quality registers, this study is, to our knowledge, the first one that provides novel evidence-based information for risk-adapted starting ages of CRC screening for patients with diabetes, who are at higher risk of early-onset CRC than the general population.
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- 2020
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5. Chronic HCV Infection–Comparison of Awareness Regarding Mode of Transmission in Educated and Uneducated Patients Presenting in Gastroenterology/ Medical Clinics in Various Hospitals of Sindh Province
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Syed Zohair Asghar Naqvi, Syed Rehan Asghar Naqvi, Laima Alam, Uzair Ali Khan, Rao Saad Ali Khan, and Rao Zaid Ali Khan
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Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) ,Health Professions (miscellaneous) - Abstract
Objective: To compare the awareness regarding the mode of transmission in educated and uneducated patients presenting to OPDs of five hospitals in Sindh province. Study Design: Cross-sectional survey. Place and Duration of Study: Five Combined Military Hospitals, of Sindh province; Badin, Chhor, Hyderabad, Malir and Pano Aqil, Pakistan, from April to July 2022. Methodology: Patients presenting to the five Combined Military Hospitals were included through non probability consecutive sampling technique. The questionnaire was reviewed by two medical education experts for content validity and piloted among ten patients before being tested. Results: A total of 121 participants were included in the study. Participants had better knowledge regarding sharing of shaving equipment (p=0.008), unsafe blood transfusions (p
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- 2022
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6. Numerical Analysis on Convective Heat Transfer of water Based Hybrid Nanofluid (Alumina-Copper) In a Horizontal Annulus
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null Uzair Ali Khan, null Shahid Husain, null Suhail Ahmad Khan, null Mohd Owais Khan, null Noman Khan, and null Raheel Usmani
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Fluid Flow and Transfer Processes ,Modeling and Simulation - Abstract
Numerical inspection of natural thermally induced flow in horizontal annulus has been carried out. The annulus taken under consideration is the circular annulus. By applying heat flux to the inner tube, the inner wall of the annulus is kept at high temperature and the outer wall of the annulus is maintained at constant low temperature. The numerical simulations were accomplished by varying concentrations of the hybrid nanofluid of a hybrid alumina-copper various for each Rayleigh number (4 x 104 < Ra < 4 x l05). Heat transmission through natural convection using air as convective fluid, in the body of horizontally placed annulus resided between two same hollow cylinders, is calculated. The influence of the Rayleigh number along with particle concentration on heat transmission characteristics, change in fluid flow and effective thermal conductivity of an annulus has been studied. The results showed a proportional rise in the heat transfer performance and effective thermal conductivity with the increasing particle concentration and Rayleigh numbers.
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- 2022
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7. Numerical Investigation of Natural Convection in Annular Geometries of Different Shapes
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Uzair Ali Khan, Md Kausar Jamal, and Shahid Husain
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- 2023
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8. Photocatalytic Nitrogen Fixation on Semiconductor Materials: Fundamentals, Latest Advances, and Future Perspective
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Merga Hailemariam Urgesa, Dwi Fortuna Anjusa Putra, Abdul Qadir, Uzair Ali Khan, Ting-Chen Huang, Yun Xuan Chiu, Jia Hung Lin, and Riski Titian Ginting
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- 2022
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9. Prediction of diffuse solar radiation using machine learning models based on sunshine period and sky‐clearness index for the humid‐subtropical climate of India
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Jawed Mustafa, Shahid Husain, Uzair Ali Khan, and Md Mozammil Akhtar
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Environmental Engineering ,Renewable Energy, Sustainability and the Environment ,General Chemical Engineering ,Environmental Chemistry ,Waste Management and Disposal ,General Environmental Science ,Water Science and Technology - Published
- 2022
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10. Development of machine learning models based on air temperature for estimation of global solar radiation in India
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Uzair Ali Khan and Shahid Husain
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Estimation ,Environmental Engineering ,Renewable Energy, Sustainability and the Environment ,business.industry ,General Chemical Engineering ,Global solar radiation ,Development (topology) ,Air temperature ,Environmental Chemistry ,Environmental science ,Aerospace engineering ,business ,Waste Management and Disposal ,General Environmental Science ,Water Science and Technology - Published
- 2021
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11. Effects on Mechanical Properties of High-Density Polyethylene (HDPE) Reinforced with Walnut Shell Powder
- Author
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Adnan Ali Khan, Rafid Hassan, and Uzair Ali Khan
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chemistry.chemical_classification ,Materials science ,Absorption of water ,Composite number ,Polymer ,Molding (process) ,engineering.material ,Polyethylene ,chemistry.chemical_compound ,chemistry ,Filler (materials) ,Ultimate tensile strength ,engineering ,High-density polyethylene ,Composite material - Abstract
A series of repeating monomers that may be either non-biodegradable or biodegradable with technical properties for a good range of applications are called polymers. Non-biodegradable materials are replaced by new and Eco-friendly materials developed by the industries driven by the present scenario to achieve a clean and green environment. For composites’ development based on non-biodegradable polymers and natural filler, remarkable research work has been done. Two or more combined constituents are present at the macroscopic level and are not soluble with one another. The shell in which walnut is covered is called a walnut shell and is treated as waste material, but it helps in improving the property, and it is going to be used as reinforcement for the synthesis of composites with enhanced mechanical properties due to its good abrasive nature, mechanical strength, and chemical properties. In the present work, we have fabricated the composite specimens by varying the weight of walnut shell powder (0, 10, 15, and 20%) used in high-density polyethylene (HDPE) through the injection molding machining process. Different tests were performed to study synthesized composites’ properties such as tensile tests, wear tests, water absorption test, and burning test. Characteristic changes in properties were observed in HDPE/walnut shell powder composite. The wear test, flame propagation rate, and water test showed gradual increment with a rise in the filler loading while there is no remarkable improvement in tensile properties. Preparation and characterization of composites emphasize using various degradable natural fillers for several applications such as aerospace, packaging, and agriculture.
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- 2021
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12. Personal History of Diabetes as Important as Family History of Colorectal Cancer for Risk of Colorectal Cancer: A Nationwide Cohort Study
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Kristina Sundquist, Yu Tian, Mahdi Fallah, Jan Sundquist, Hermann Brenner, Uzair Ali Khan, and Elham Kharazmi
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Adult ,Male ,medicine.medical_specialty ,Colorectal cancer ,Population ,MEDLINE ,Risk Assessment ,Cohort Studies ,03 medical and health sciences ,Diabetes mellitus genetics ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Personal history ,Diabetes Mellitus ,Medicine ,Humans ,Registries ,Young adult ,Family history ,education ,Medical History Taking ,neoplasms ,Aged ,Sweden ,education.field_of_study ,Hepatology ,business.industry ,Gastroenterology ,Middle Aged ,medicine.disease ,digestive system diseases ,Standardized mortality ratio ,030220 oncology & carcinogenesis ,Family medicine ,Colonic Neoplasms ,030211 gastroenterology & hepatology ,Female ,Risk assessment ,business ,Colorectal Neoplasms ,Cohort study - Abstract
Introduction Diabetes mellitus (DM) and colorectal cancer (CRC) share some risk factors, including lifestyle and metabolic disturbances. We aimed to provide in-depth information on the association of CRC risk, especially early-onset CRC, with DM, family history of CRC, and age at DM diagnosis. Methods A nationwide cohort study was conducted using Swedish family cancer data sets, inpatient, and outpatient registers (follow-up: 1964-2015), including all individuals born after 1931 and their parents (12,614,256 individuals; 559,375 diabetic patients; 162,226 CRC patients). Results DM diagnosis before the age of 50 years was associated with a 1.9-fold increased risk of CRC before the age of 50 years (95% CI for standardized incidence ratio: 1.6-2.3) vs 1.3-fold risk of CRC at/after the age of 50 years (1.2-1.4). DM diagnosis before the age of 50 years in those with a family history of CRC was associated with 6.9-fold risk of CRC before the age of 50 years (4.1-12) and 1.9-fold risk of CRC at/after the age of 50 years (1.4-2.5). Diabetic patients had a similar lifetime risk of CRC before the age of 50 years (0.4%, 95% CI: 0.3%-0.4%) to those with only a family history of CRC (0.5%, 0.5%-0.5%), double that of the population (0.2%, 0.2%-0.2%). Discussion Our large cohort with valid information on DM and family history of cancer showed that DM is associated with increased risk of CRC in a magnitude close to having family history of CRC. Associations of DM and CRC family history with increased CRC risk were most prominent in young adults. These findings warrant further studies on harms, benefits, and cost-effectiveness of CRC screening in patients with diabetes, especially type 2, at earlier ages than in the general population.
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- 2020
13. Risk of colorectal cancer in patients with diabetes mellitus: A Swedish nationwide cohort study
- Author
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Elham Kharazmi, Mahdi Fallah, Uzair Ali Khan, Kristina Sundquist, Hermann Brenner, and Jan Sundquist
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Male ,Pediatrics ,Epidemiology ,Geographical locations ,Cohort Studies ,Endocrinology ,Medical Conditions ,0302 clinical medicine ,Epidemiology of cancer ,Medicine and Health Sciences ,Medicine ,Registries ,Young adult ,Family history ,Child ,Early Detection of Cancer ,Aged, 80 and over ,education.field_of_study ,Cancer Risk Factors ,Incidence (epidemiology) ,Age Factors ,General Medicine ,Middle Aged ,Europe ,Oncology ,Child, Preschool ,030220 oncology & carcinogenesis ,Female ,030211 gastroenterology & hepatology ,Colorectal Neoplasms ,Cancer Epidemiology ,Record linkage ,Research Article ,Cohort study ,Adult ,medicine.medical_specialty ,Adolescent ,Endocrine Disorders ,Population ,Diabetes Complications ,Young Adult ,03 medical and health sciences ,Diagnostic Medicine ,Diabetes Mellitus ,Humans ,European Union ,education ,Aged ,Colorectal Cancer ,Sweden ,Health Care Policy ,business.industry ,Infant, Newborn ,Cancers and Neoplasms ,Infant ,Cancer registry ,Health Care ,Metabolic Disorders ,Medical Risk Factors ,Diabetes Diagnosis and Management ,People and places ,business ,Screening Guidelines - Abstract
Background Colorectal cancer (CRC) incidence is increasing among young adults below screening age, despite the effectiveness of screening in older populations. Individuals with diabetes mellitus are at increased risk of early-onset CRC. We aimed to determine how many years earlier than the general population patients with diabetes with/without family history of CRC reach the threshold risk at which CRC screening is recommended to the general population. Methods and findings A nationwide cohort study (follow-up:1964–2015) involving all Swedish residents born after 1931 and their parents was carried out using record linkage of Swedish Population Register, Cancer Registry, National Patient Register, and Multi-Generation Register. Of 12,614,256 individuals who were followed between 1964 and 2015 (51% men; age range at baseline 0–107 years), 162,226 developed CRC, and 559,375 developed diabetes. Age-specific 10-year cumulative risk curves were used to draw conclusions about how many years earlier patients with diabetes reach the 10-year cumulative risks of CRC in 50-year-old men and women (most common age of first screening), which were 0.44% and 0.41%, respectively. Diabetic patients attained the screening level of CRC risk earlier than the general Swedish population. Men with diabetes reached 0.44% risk at age 45 (5 years earlier than the recommended age of screening). In women with diabetes, the risk advancement was 4 years. Risk was more pronounced for those with additional family history of CRC (12–21 years earlier depending on sex and benchmark starting age of screening). The study limitations include lack of detailed information on diabetes type, lifestyle factors, and colonoscopy data. Conclusions Using high-quality registers, this study is, to our knowledge, the first one that provides novel evidence-based information for risk-adapted starting ages of CRC screening for patients with diabetes, who are at higher risk of early-onset CRC than the general population., Uzair Ali Khan and colleagues describe the risk of colorectal cancer in patients with diabetes., Author summary Why was this study done? Diabetes is associated with increased risk of colorectal cancer (CRC), especially in young adults before age 50. CRC incidence is increasing among young adults who are not targeted for screening. Diabetes has not been considered as a risk factor in any CRC screening guideline. What did the researchers do and find? For each single age, we calculated the risk of developing CRC in the next 10 years; for example, at age 50, which is the most common age for starting CRC screening, the risk of developing CRC during next 10 years (age 50 to 59) in the Swedish population was 0.44% in men and 0.41% in women. Men and women with diabetes reached the risk levels for 50-year-old individuals (0.44% and 0.41%, respectively) at about age 45 instead of age 50, i.e., nearly 5 years earlier than the general population, whereas patients with an additional family history of CRC reach these screening risk thresholds, 12 to 21 years earlier than the general population. What do these findings mean? These findings for the first time provide evidence-based information about the best starting age of screening for CRC in patients with diabetes. A major strength of this study would relate to the extremely large and comprehensive national (Swedish) datasets available and the duration involved (all Swedish residents born after 1931 and their parents, followed up to 2015). Clinicians could inform patients with diabetes (with or without family history of CRC) about this possibility and encourage individualized counseling for CRC screening.
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- 2020
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14. Comparing the efficacy of EUS versus MRCP with ERCP as gold standard in patients presenting with partial biliary obstruction - finding a better diagnostic tool.
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Khan RSA, Alam L, Khan ZA, and Khan UA
- Abstract
Objective: To evaluate the diagnostic accuracy of different imaging modalities in patients with partial biliary obstruction with no obvious aetiology on initial imaging., Methods: This is a prospective single-centre cohort study carried out at Pak Emirates Military Hospital, Rawalpindi from June 2019 to June 2021 with non-probability consecutive sampling. Patients with ages 16 to 75 years, presenting with partial biliary obstruction and undetermined aetiology on initial imaging (TUS and MRCP) were enrolled. EUS was performed for each of these patients and the case was regarded as "true positive" or "true negative" if the findings of imaging modality correlated to those of ERCP. ROC curve, sensitivity, specificity, PPV, NPV and AUC (with 95% confidence interval) were drawn for all the diagnostic tools using SPSS V. 21., Results: A total of 65 patients were enrolled over a period of two years with male to female ratio of 1.4:1. Forty-four patients had an intermediate risk of choledocholithiasis upon preliminary evaluation whereas, 48(74%) of the participants had CBD calculi or sludge confirmed upon subsequent ERCP. Trans-abdominal ultrasound showed the lowest sensitivity (29.2%), specificity (85%), NPV 12% and PPV 93% for diagnosing CBD calculi. This was followed by MRCP with a sensitivity of 37.5%, specificity of 100%, NPV of 36.2% and PPV of 100%. EUS showed the maximum diagnostic accuracy with AUC of 1.0 and a 100% sensitivity and specificity when compared with ERCP as gold standard., Conclusion: EUS is superior to MRCP in terms of diagnostic accuracy as minimally invasive diagnostic tool and EUS superiority is particularly relevant in patients with intermediate risk of choledocholithiasis., (Copyright: © Pakistan Journal of Medical Sciences.)
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- 2023
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