Muhammad Amjad

Hazara University

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Behzad Murtaza

COMSATS University Islamabad

Ghulam Abbas

COMSATS University Islamabad

Muhammad Asif Naeem

COMSATS University Islamabad

Muhammad Imran

COMSATS University Islamabad

Muhammad Shahid

COMSATS University Islamabad

Khurram Ziaf

University of Agriculture Faisalabad

Noor S. Shah

COMSATS University Islamabad

Natasha Natasha

COMSATS University Islamabad

Qumer Iqbal

University of Agriculture Faisalabad

Javaid Akhtar

University of Agriculture Faisalabad

Cooperative Institutions

University of Agriculture Faisalabad

172

COMSATS University Islamabad

115

University of Faisalabad

University of the Punjab

Government College University, Faisalabad

Bahauddin Zakariya University

Pir Mehr Ali Shah Arid Agriculture University

Islamia University of Bahawalpur

Ayub Agriculture Research Institute

The University of Agriculture, Peshawar

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A review of EVs charging: From the perspective of energy optimization, optimization approaches, and charging techniques

Transportation Research Part D Transport and Environment (2018)

Muhammad Amjad Ayaz Ahmad Mubashir Husain Rehmani T. Umer

News aggregator

10.1016/j.trd.2018.03.006

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Citations (159)

Real Time Distress Monitoring of Soft Soil Highway Embankment

Springer eBooks (2018)

Muhammad Amjad Sarfraz Ali Mazhar Iqbal Abdul Qudoos Ali Sarosh

Serviceability (structure)

Foundation (evidence)

Settlement (finance)

10.1007/978-981-13-0011-0_19

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Citations (0)

Effect of salinity on physiological, biochemical and photostabilizing attributes of two genotypes of quinoa (Chenopodium quinoa Willd.) exposed to arsenic stress

Ecotoxicology and Environmental Safety (2019)

Shumaila Parvez Ghulam Abbas Muhammad Shahid Muhammad Amjad Munawar Hussain

Chenopodium quinoa

10.1016/j.ecoenv.2019.109814

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Citations (87)

Enhanced Matrix Removal-Lipid (EMR-L): a novel approach for efficient clean-up in systemic toxicological analysis of drugs and pesticides

Australian Journal of Forensic Sciences (2023)

Muhammad Imran Asif Raza Hafiz Faisal Usman Muhammad Mubasher Najam Ud Din

ABSTRACTThe QuEChERS extraction method was extensively modified and validated for effective screening of drugs and pesticides in diverse biological matrices, such as blood, urine, liver, and stomach contents. This method involved the extraction of 2 mL biological samples using acetonitrile as the solvent. To eliminate interferences, particularly lipids, a novel sorbent comprising a combination of C18 and specialized polymers called EMR-L (Enhanced Matrix Removal-Lipid) was employed. The extracted samples were then subjected to analysis using GCMS with a DB-5 MS column. The validation study encompassed various parameters including carryover, limit of detection (LOD), and interference investigation. LOD of analytes were ranged from 0.5 to 1.0 µg/mL. The validated method is known for its simplicity and effectiveness in conducting systemic toxicological analysis, covering a wide range of acidic, neutral, and basic analytes. Moreover, this method has the potential to detect additional drugs and pesticides not included in the validation study, provided they are compatible with gas chromatographic analysis. The modified method was successfully applied to real case samples, proving to be a valuable tool for systemic toxicological analysis. Its versatility allows for the screening of acidic, neutral, and basic drugs and pesticides in various biological matrices.KEYWORDS: QuEChERSEMRdrugspesticidespostmortemsystemic toxicologyunknown screen Disclosure statementNo potential conflict of interest was reported by the author(s).

QuEChERS

Matrix (chemical analysis)

10.1080/00450618.2023.2261497

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Citations (6)

Zinc in soil-plant-human system: A data-analysis review

The Science of The Total Environment (2021)

Natasha Natasha Muhammad Shahid Irshad Bibi Jibran Iqbal Sana Khalid

Phytotoxicity

Detoxification

Plant metabolism

Plant Physiology

10.1016/j.scitotenv.2021.152024

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Citations (143)

Machine Learning Based Prediction of Stock Exchange on NASDAQ 100: A Twitter Mining Approach

2022 International Conference on Cyber Resilience (ICCR) (2022)

Saida Harguem Zakariya Chabani Samar Noaman Muhammad Amjad Muhammad Bux Alvi

Twitter is a popular social media network. Its impact on our daily life is increasing day by day. Twitter is not only used for current affairs but also for showing its significance in corporate culture. The motivation for this research is to elaborate on the importance of user tweets on famous companies around the world by analyzing the user tweets according to their sentiments, i.e., optimistic (positive), harmful (negative) and disinterested (neutral). This analysis is an effort to show the corelation between user tweets and the variation in the stock market share prices of companies worldwide. The dataset was taken from the NASDAQ 100, the famous source of stock price data from world-famous companies. After data extraction, a sample from the entire dataset was used to obtain a minimum but optimal data subset. One-Hot Encoding technique has been used for features reduction to reduce the useless data and make the data more flexible to use. For modelling, the SVM machine learning algorithm is used with different kernels. Furthermore, cross-validation is leveraged to evaluate and verify the model's accuracy and stability. The maximum 92% accuracy was achieved using SVM with Linear kernel, whereas RBF kernel accuracy was 62%, which was low compared to the former one.)

Stock (firearms)

10.1109/iccr56254.2022.9996008

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Citations (19)

Comparison of Central Subfoveal Choroidal Thickness in Diabetic Patients with and without Diabetic Retinopathy

Pakistan Journal of Ophthalmology (2021)

Muhammad Ali Haider Uzma Sattar Muhammad Amjad

Purpose: To compare the Central subfoveal choroidal thickness (CCT) in diabetic patients with and without diabetic retinopathy. Study Design: Cross sectional observational study. Place and Duration of Study: Al-Ehsan Welfare Eye Hospital, Lahore, from June 2019 to May 2020. Methods: One hundred and twenty patients with type II diabetes were included with a mean age of57±0.9. Patients were divided into two groups (60 in each group) based on presence or absence of diabetic retinopathy after ophthalmic examination. Group A comprised of patients showing signs of retinopathy and group B with no signs of diabetic retinopathy. After detailed ophthalmic examination, spectral–domain OCT was performed for the measurement of central subfoveal choroidal thickness. The differences in measurements were analyzed and measured by using SPSS version 22. Results: Out of 120 patients, 69 (57.5%) were males and 51 were females (42.5%). Mean age of patients was 58.8 ± 10 years with minimum 28 years and maximum 94 years. Central choroidal thickness in group A showed a mean value of 239 ± 41 µm with standard error of mean 3.76. While diabetic patients having no signs of diabetic retinopathy (Group B) showed mean subfoveal choroidal thickness of 240 ± 42 µm with standard error of mean 3.89. The difference in central subfoveal choroidal thickness in both groups was 1.337 which is statistically insignificant with p value of 0.250. Conclusion: Central choroidal thickness amongst diabetic patients with and without signs of retinopathy does not have any significant changes. Key Words: Choroid, Diabetic retinopathy, Optical Coherence Tomography.

10.36351/pjo.v37i3.1207

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Screening of oilseed Brassica for turnip aphid (Lipaphis erysimi (Kalt.)) resistance

Muhammad Amjad Don C. Peters

Lipaphis erysimi

Source

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Effect of exogenously-applied proline on the growth and frost tolerance of tissue cultures of Solanum spp.

Anjum Muhammad Amjad

Frost (temperature)