A5102949390- Molecular Sensors and Ion Detection
- Survey Sampling and Estimation Techniques
- Statistical Distribution Estimation and Applications
- Sulfur Compounds in Biology
- Luminescence and Fluorescent Materials
- Carbon and Quantum Dots Applications
- Advanced Photocatalysis Techniques
- Nanomaterials for catalytic reactions
- Metal-Organic Frameworks: Synthesis and Applications
- Bayesian Methods and Mixture Models
- Fuzzy Systems and Optimization
- Covalent Organic Framework Applications
- Advanced biosensing and bioanalysis techniques
- Nanocluster Synthesis and Applications
- Energy Load and Power Forecasting
- Biotechnology and Related Fields
- Electrocatalysts for Energy Conversion
- Probabilistic and Robust Engineering Design
- Environmental remediation with nanomaterials
- Complex Systems and Time Series Analysis
- Educational Research and Analysis
- Copper-based nanomaterials and applications
- MXene and MAX Phase Materials
- Supramolecular Self-Assembly in Materials
- Advanced Nanomaterials in Catalysis
University of Sargodha
2024
Zhejiang Normal University
2024
Sardar Bahadur Khan Women's University
2018-2024
University of Management and Technology
2016-2024
University of Lahore
2024
State Key Laboratory of Applied Organic Chemistry
2016-2019
Lanzhou University
2016-2019
Lanzhou City University
2018
China Nonferrous Metal Mining (China)
2018
Lanzhou Veterinary Research Institute
2017
A novel type of multicomponent and recyclable nanocatalyst CDs/Ag@Mg–Al–Ce-LDH was successfully assembled by functionalizing a magnesium–aluminum layered double hydroxide support doped with Ce (denoted as Mg–Al–Ce-LDH) carbon dots (CDs) Ag nanoparticles.
Nanoscale metal–organic frameworks (NMOFs) represent a unique class of solids with superior adsorption, mass transport, and catalytic properties. In this study, facile novel approach was developed for the generation hybrid Cu-NMOF/Ce-doped-Mg-Al-LDH nanocatalyst through in situ self-assembly solvothermal synthesis 2D Cu-NMOF, [Cu2(μ-OH)(μ4-btc)(phen)2]n·5nH2O {H3btc, trimesic acid; phen, 1,10-phenanthroline}, on cerium-doped Mg-Al layered double hydroxide (Ce-doped-Mg-Al-LDH) matrix....
23Nov 2016 EFFECTS OF SOCIAL MEDIA ON YOUTH: A CASE STUDY IN UNIVERSITY SARGODHA. Asad Ali , Anam Iqbal and Kanwal Iqbal. Department of statistics, university Sargodha, Pakistan. allamaiqbal open university, Islamabad, quantitative method sbe, management technology, Lahore,
There are numerous studies where data on population units’ auxiliary variables and attributes simultaneously available. Therefore, due to cost-effectiveness ease of recording, the study variable several linearly related recorded. These commonly observed as quantitative qualitative (attributes) jointly used estimate variable’s mean using a mixture estimator. In order achieve this, family generalized estimators was proposed under simple random sampling with aim improving performance...
A long-emission ratiometric fluorescence sensor (<bold>DP-1</bold>) for the specific detection of PGP-1<italic>in vivo</italic>and<italic>in vitro</italic>was first designed and synthesized.
In this paper, single-phase mixture regression cum ratio estimators are presented by utilizing auxiliary variables and attributes simultaneously under stratified random sampling. Special cases of these discussed further mean square errors extracted mathematically. Also, to observe the properties proposed estimators, simulation technique is used which shows that distribution approximately normal. To differentiate performance an empirical study has been conducted incorporating quantitative...
Estimation of population mean study variable Y suffers loss precision in the presence high variation data set. The use auxiliary information incorporated construction an estimator under Rank set sampling scheme results efficient estimation mean. In this paper, we propose generalized family estimators to estimate finite ranked utilizing on variable. Bias and Mean Square Error (MSE) proposed are derived. conditions efficiency from competitor also applications discussed using simulation...
In the contemporary era of information technology, copious amounts data are ubiquitous, generated across various sectors on a daily basis. Analyzing every unit is impractical due to constraints such as limited resources in terms time, labor, and cost. scenarios, survey sampling becomes recommended approach for extracting about population parameters. The primary goal this study devise an estimation method acquiring We propose optimal estimator improved mean stratified random by leveraging...
Advancements in sensor technology have brought a revolution data generation. Therefore, the study variable and several linearly related auxiliary variables are recorded due to cost-effectiveness ease of recording. These commonly observed as quantitative qualitative (attributes) jointly used estimate variable’s population mean using mixture estimator. For this purpose, work proposes family generalized estimators under stratified sampling increase efficiency symmetrical asymmetrical...
A 2D layered fluorescent CPOS has been synthesized, with layers stacked via electrostatic interactions rather than conventional π–π stacking.
Extreme-cum-median ranked set sampling has been developed to address the problem of heterogeneity and outliers / extreme values. Double suggested obtain more reliable samples using concept degree distinguishability. Dealing with heterogeneous non-normal populations seems be an area a dearth research. This article endeavors this research gap by introducing new, improved procedure that combines aforementioned approaches, which is called double extreme-cum-median sampling. A simulation study...
Inflation is one of the serious economic indicators in Pakistan. can be crawling, walking, running, hyper and stagflation according to nature. To model monthly inflation rate Pakistan periodogram analysis frequency domain which also known as Fourier or spectral used. After analyzing data, cycle length observed appropriate series models are fitted data. Monthly analyzed by Auto Regressive Integrated Moving average (ARIMA). Further, compared it found that more suitable forecast