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Article ; Online: Correction: Facial expression recognition using lightweight deep learning modeling.

Ahmad, Mubashir / Sanawar, Saira / Alfandi, Omar / Khattak, Asad Masood / Qadri, Syed Furqan / Saeed, Iftikhar Ahmed / Khan, Salabat / Hayat, Bashir / Ahmad, Arshad

Mathematical biosciences and engineering : MBE

2023 Volume 20, Issue 6, Page(s) 10675–10677

Language	English
Publishing date	2023-06-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2265126-3
ISSN	1551-0018 ; 1551-0018
ISSN (online)	1551-0018
ISSN	1551-0018
DOI	10.3934/mbe.2023472
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Factors associated with maternal health services utilization in Pakistan: Evidence from Pakistan maternal mortality survey, 2019.

Midhet, Farid / Hanif, Mubashir / Khalid, Samina Naeem / Khan, Raheel Shahab / Ahmad, Ikhlaq / Khan, Shahzad Ali

PloS one

2023 Volume 18, Issue 11, Page(s) e0294225

Abstract: Background: This study investigates the factors associated with maternal health services utilization in Pakistan using two outcome indicators, ideal antenatal care (IANC), defined as the pregnant woman receiving all the essential services included in ... ...

Abstract	Background: This study investigates the factors associated with maternal health services utilization in Pakistan using two outcome indicators, ideal antenatal care (IANC), defined as the pregnant woman receiving all the essential services included in standard antenatal care, and skilled birth attendance (SBA). Methods: This study used the Pakistan Maternal Mortality Survey 2019 data. The study utilized binary logistic regression models to investigate the adjusted association between the outcome variables, separately for IANC and SBA, and the independent variables, education, wealth, parity, and residence. Results: Wealth showed a positive association with utilization of IANC (adjusted odds ratio [AOR] = 11.48, 95% CI = 7.76, 16.99) and SBA (AOR = 4.37, 95% CI = 3.30,5. 80). Maternal age was associated only with IANC for women aged 35 or more years (AOR = 1.31, 95% CI = 1.06, 1.62). Increased likelihood of utilization of IANC and SBA services was also observed for women with formal education. Women who had 3-5 previous live births had higher odds of using IANC and SBA than women who had 1-2 or more than five previous live births. Urban residency was not correlated with either IANC or SBA. Conclusion: When compared to the wealthy and educated quintile, women in the lower wealth quintile and those without any formal education were less likely to utilize ANC and SBA services. A comprehensive and multipronged approach from the health and education sectors is needed to improve maternal health in Pakistan.
MeSH term(s)	Female ; Pregnancy ; Humans ; Maternal Health Services ; Maternal Mortality ; Pakistan/epidemiology ; Prenatal Care ; Patient Acceptance of Health Care
Language	English
Publishing date	2023-11-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0294225
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Article ; Online: Facial expression recognition using lightweight deep learning modeling.

Ahmad, Mubashir / Sanawar, Saira / Alfandi, Omar / Qadri, Syed Furqan / Saeed, Iftikhar Ahmed / Khan, Salabat / Hayat, Bashir / Ahmad, Arshad

Mathematical biosciences and engineering : MBE

2023 Volume 20, Issue 5, Page(s) 8208–8225

Abstract: Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad, ... ...

Abstract	Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad, angry, fearful, contemptuous, surprised and disgusted expressions. Accurate detection and classification of human facial expression is a critical task in image processing due to the inconsistencies amid the complexity, including change in illumination, occlusion, noise and the over-fitting problem. A stacked sparse auto-encoder for facial expression recognition (SSAE-FER) is used for unsupervised pre-training and supervised fine-tuning. SSAE-FER automatically extracts features from input images, and the softmax classifier is used to classify the expressions. Our method achieved an accuracy of 92.50% on the JAFFE dataset and 99.30% on the CK+ dataset. SSAE-FER performs well compared to the other comparative methods in the same domain.
MeSH term(s)	Humans ; Deep Learning ; Facial Recognition ; Communication ; Fear ; Image Processing, Computer-Assisted
Language	English
Publishing date	2023-05-09
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2265126-3
ISSN	1551-0018 ; 1551-0018
ISSN (online)	1551-0018
ISSN	1551-0018
DOI	10.3934/mbe.2023357
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Article: Formulation and Optimization of Repaglinide Nanoparticles Using Microfluidics for Enhanced Bioavailability and Management of Diabetes.

Ahmad, Mubashir / Khan, Shahzeb / Shah, Syed Muhammad Hassan / Zahoor, Muhammad / Hussain, Zahid / Hussain, Haya / Shah, Syed Wadood Ali / Ullah, Riaz / Alotaibi, Amal

Biomedicines

2023 Volume 11, Issue 4

Abstract: The technologies for fabrication of nanocrystals have an immense potential to improve solubility of a variety of the poor water-soluble drugs with subsequent enhanced bioavailability. Repaglinide (Rp) is an antihyperglycemic drug having low ... ...

Abstract	The technologies for fabrication of nanocrystals have an immense potential to improve solubility of a variety of the poor water-soluble drugs with subsequent enhanced bioavailability. Repaglinide (Rp) is an antihyperglycemic drug having low bioavailability due to its extensive first-pass metabolism. Microfluidics is a cutting-edge technique that provides a new approach for producing nanoparticles (NPs) with controlled properties for a variety of applications. The current study's goal was to engineer repaglinide smart nanoparticles (Rp-Nc) utilizing microfluidic technology (Dolomite Y shape), and then to perform in-vitro, in-vivo, and toxicity evaluations of them. This method effectively generated nanocrystals with average particle sizes of 71.31 ± 11 nm and a polydispersity index (PDI) of 0.072 ± 12. The fabricated Rp's crystallinity was verified by Differential scanning calorimetry (DSC) and Powder X-ray diffraction (PXRD). In comparison to the raw and commercially available tablets, the fabricated Rp's nanoparticles resulted in a higher saturation solubility and dissolving rate (
Language	English
Publishing date	2023-04-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2720867-9
ISSN	2227-9059
ISSN	2227-9059
DOI	10.3390/biomedicines11041064
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Article ; Online: Multivariate Animal Model-based Analysis of Fiber Traits in Kashmir Merino Sheep

Ahmad, Sheikh Firdous / Rather, Mubashir Ali / Shanaz, Syed / Khan, Nusrat Nabi / Ganai, Nazir Ahmad

Journal of Natural Fibers. 2022 Oct. 28, v. 19, no. 14 p.7948-7955

2022

Abstract: An attempt was made in the present study to elucidate the (co)variance components and genetic parameters of fiber traits in Kashmir Merino sheep population using multivariate animal model. The data pertained to a total of 6836 sheep lambs born over a ... ...

Abstract	An attempt was made in the present study to elucidate the (co)variance components and genetic parameters of fiber traits in Kashmir Merino sheep population using multivariate animal model. The data pertained to a total of 6836 sheep lambs born over a period of 21 years (1997–2017) and included information on different fiber traits [greasy fleece weight at first (GFW1) and second (GFW2) clips; and fiber diameter (FD) and staple length (SL) at second clip]. Genetic analysis was undertaken using average information restricted maximum likelihood (AI-REML) algorithm in WOMBAT program. The model incorporated six fixed (sex of lamb, season and period of birth, farm of origin, breed and type of birth) and two random effects (direct additive genetic and maternal genetic effects without any covariance between them) in it. The additive genetic heritability estimates for fiber traits were 0.300 ± 0.031; 0.289 ± 0.022; 0.254 ± 0.029 and 0.189 ± 0.028 for GFW1, GFW2, FD, and SL, respectively. The maternal genetic heritability estimates were very low for all traits under study. The genetic correlation between different traits was positive and estimates ranged from moderate to high. The results from present study imply that the variation in these traits has genetic basis which can be exploited in the selection programmes for their improvement. The correlation between different fiber traits was found to be favorable, which can lead to indirect selection response upon formulation of efficient breeding programmes.
Keywords	Merino ; algorithms ; animal models ; covariance ; farms ; fleece ; genetic analysis ; genetic correlation ; heritability ; selection response ; sheep ; staple (fibers) ; variance ; India ; Correlation ; maternal ; model ; trait
Language	English
Dates of publication	2022-1028
Size	p. 7948-7955.
Publishing place	Taylor & Francis
Document type	Article ; Online
ZDB-ID	2182715-1
ISSN	1544-046X ; 1544-0478
ISSN (online)	1544-046X
ISSN	1544-0478
DOI	10.1080/15440478.2021.1958425
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Comparison of various models for the estimation of heritability and breeding values.

Hamadani, Ambreen / Ganai, Nazir A / Khan, Nusrat Nabi / Shanaz, Syed / Rather, Mubashir Ali / Ahmad, Haider A / Shah, Ruksana

Tropical animal health and production

2023 Volume 55, Issue 4, Page(s) 250

Abstract: The exploration of additive genetic variance for the selection of animals is the central paradigm in quantitative genetics and it is important to use appropriate animal models considering important factors. This study compares various factor effects for ... ...

Abstract	The exploration of additive genetic variance for the selection of animals is the central paradigm in quantitative genetics and it is important to use appropriate animal models considering important factors. This study compares various factor effects for heritability and breeding values estimations on data collected on the Corriedale. Overall, the heritability estimates were the highest for birthweight (BW). Both the additive genetic variance and the heritability values were reduced upon adding more random effects. Year-effect as random reduced the heritability except for BW. The highest average accuracy for breeding values for birth, weaning, 6, 9, and 12-month-weights for were 0.656, 0.567, 0.519, 0.486, and 0.515. These were observed for models having sex or sex and parity as fixed effects. It is concluded that fixed and random factors have a significant impact on genetic-factors and breeding-value accuracies and should be considered during selection programs and make the selection program more effective.
MeSH term(s)	Pregnancy ; Female ; Animals ; Birth Weight/genetics ; Parity ; Parturition ; Weaning ; Models, Animal ; Models, Genetic ; Phenotype ; Body Weight/genetics
Language	English
Publishing date	2023-06-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	603363-5
ISSN	1573-7438 ; 0049-4747
ISSN (online)	1573-7438
ISSN	0049-4747
DOI	10.1007/s11250-023-03665-6
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Article ; Online: Factors associated with maternal health services utilization in Pakistan

Farid Midhet / Mubashir Hanif / Samina Naeem Khalid / Raheel Shahab Khan / Ikhlaq Ahmad / Shahzad Ali Khan

PLoS ONE, Vol 18, Iss 11, p e

Evidence from Pakistan maternal mortality survey, 2019.

2023 Volume 0294225

Abstract: Background This study investigates the factors associated with maternal health services utilization in Pakistan using two outcome indicators, ideal antenatal care (IANC), defined as the pregnant woman receiving all the essential services included in ... ...

Abstract	Background This study investigates the factors associated with maternal health services utilization in Pakistan using two outcome indicators, ideal antenatal care (IANC), defined as the pregnant woman receiving all the essential services included in standard antenatal care, and skilled birth attendance (SBA). Methods This study used the Pakistan Maternal Mortality Survey 2019 data. The study utilized binary logistic regression models to investigate the adjusted association between the outcome variables, separately for IANC and SBA, and the independent variables, education, wealth, parity, and residence. Results Wealth showed a positive association with utilization of IANC (adjusted odds ratio [AOR] = 11.48, 95% CI = 7.76, 16.99) and SBA (AOR = 4.37, 95% CI = 3.30,5. 80). Maternal age was associated only with IANC for women aged 35 or more years (AOR = 1.31, 95% CI = 1.06, 1.62). Increased likelihood of utilization of IANC and SBA services was also observed for women with formal education. Women who had 3-5 previous live births had higher odds of using IANC and SBA than women who had 1-2 or more than five previous live births. Urban residency was not correlated with either IANC or SBA. Conclusion When compared to the wealthy and educated quintile, women in the lower wealth quintile and those without any formal education were less likely to utilize ANC and SBA services. A comprehensive and multipronged approach from the health and education sectors is needed to improve maternal health in Pakistan.
Keywords	Medicine ; R ; Science ; Q
Subject code	360
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multidimensional poverty vis-à-vis climate change vulnerability

Irfan Ahmad Rana / Muhammad Mubashir Khan / Rida Hameed Lodhi / Shahbaz Altaf / Adnan Nawaz / Fawad Ahmed Najam

World Development Sustainability, Vol 2, Iss , Pp 100064- (2023)

Empirical evidence from flood-prone rural communities of Charsadda and Nowshera districts in Pakistan

2023

Abstract: Pakistan is among the top five countries that have been severely impacted by extreme weather events. Its population, a majority of which is poor, is highly vulnerable to the adverse effects of climate change. This study aims to examine the correlation ... ...

Abstract	Pakistan is among the top five countries that have been severely impacted by extreme weather events. Its population, a majority of which is poor, is highly vulnerable to the adverse effects of climate change. This study aims to examine the correlation between multidimensional poverty and climate change vulnerability in the rural areas of the Nowshera and Charsadda districts of the Khyber Pakhtunkhwa province. Data were collected from 452 households through a pre-tested questionnaire that assessed poverty and climate change vulnerability. The multidimensional poverty index, based on the United Nations Development Programme and Oxford Poverty and Human Development Initiative, was used to determine poverty levels, while the livelihood and climate change vulnerability indices were developed to quantify the level of climate change vulnerability. The results of the study revealed that half of the population in the study area falls below the multidimensional poverty threshold. Nowshera had a higher number of multidimensionally poor people, and the intensity of poverty was greater than in Charsadda. Nowshera was found to be more deprived in all three dimensions of poverty, i.e., education, health, and standard of living. However, in terms of climate change vulnerability, Charsadda lagged behind in the dimensions of livelihood strategies, social networks, socio-demographic profiles, and food. On the other hand, Nowshera was found to be more vulnerable in the dimensions of natural assets, financial assets, and health. Overall, the results showed that Nowshera was more vulnerable to floods compared to Charsadda. The study found a strong positive correlation between the multidimensional poverty index and the climate change vulnerability indices, implying a close relationship between the two concepts.
Keywords	Capability approach ; Disaster risk reduction ; Climate change adaptation ; Economic growth ; development ; planning ; HD72-88 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multivariate quantitative genetic analysis of body weight traits in Corriedale sheep.

Ahmad, Sheikh Firdous / Khan, Nusrat Nabi / Ganai, Nazir Ahmad / Shanaz, Syed / Rather, Mubashir Ali / Alam, Safeer

Tropical animal health and production

2021 Volume 53, Issue 2, Page(s) 197

Abstract: In the present study, an attempt was made to elucidate the genetic parameters for body weight traits of lambs from Corriedale sheep population at different ages. Data were collected from 6874 lambs born over a span of 49 years from 1969 to 2017. The ... ...

Abstract	In the present study, an attempt was made to elucidate the genetic parameters for body weight traits of lambs from Corriedale sheep population at different ages. Data were collected from 6874 lambs born over a span of 49 years from 1969 to 2017. The traits under study included body weight at birth (BW), weaning (WW), 6 months of age (6MW), 9 months of age (9MW) and yearling stage (YW). Data were statistically analyzed using restricted maximum likelihood (REML) algorithm in WOMBAT program. A multi-variate animal model was fitted to the data incorporating season and period of lambing, sex of lamb and litter size as fixed effects. Variance and covariance components were estimated using the animal model after incorporating direct additive genetic effect of animal as random factor. Genetic and phenotypic correlations with corresponding standard errors were also estimated. The heritability estimates for BW, WW, 6MW, 9MW and YW were 0.130 ± 0.023, 0.300 ± 0.029, 0.292 ± 0.030, 0.191 ± 0.025 and 0.169 ± 0.024, respectively. The genetic correlation between different traits under study was high, except between BW and 9MW for which the estimate was moderate. Phenotypic correlation ranged from low to high for different trait combinations. Among different traits under study, only two traits showed moderate heritability i.e. WW and 6MW while heritability of other traits was low. Both these traits showed high correlation with all subsequent traits. Selection programme for Corriedale sheep should be based on WW which is expressed early in life and shall lead to moderate genetic response to selection.
MeSH term(s)	Animals ; Birth Weight/genetics ; Body Weight/genetics ; Female ; Litter Size ; Male ; Models, Genetic ; Multivariate Analysis ; Phenotype ; Seasons ; Sheep, Domestic/genetics ; Weaning
Language	English
Publishing date	2021-03-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	603363-5
ISSN	1573-7438 ; 0049-4747
ISSN (online)	1573-7438
ISSN	0049-4747
DOI	10.1007/s11250-021-02632-3
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Article ; Online: Antiglycation potential of plant based TiO

Alenazi, Fahaad / Saleem, Mohd / Syed Khaja, Azharuddin Sajid / Zafar, Mubashir / Alharbi, Mohammed Salem / Al Hagbani, Turki / Khan, Mohd Yasir / Ahmad, Waseem / Ahmad, Saheem

Cell biochemistry and function

2022 Volume 40, Issue 7, Page(s) 784–796

Abstract: Biosynthetic procedure is one of the best alternatives, inexpensive and ecologically sound for the synthesis of titanium dioxide ( ... ...

Abstract	Biosynthetic procedure is one of the best alternatives, inexpensive and ecologically sound for the synthesis of titanium dioxide (TiO
MeSH term(s)	Glycation End Products, Advanced/metabolism ; Nanoparticles ; Plant Extracts/chemistry ; Plant Extracts/pharmacology ; Ribose/chemistry ; Ribose/metabolism ; Serum Albumin, Bovine/chemistry ; Serum Albumin, Bovine/metabolism ; Titanium
Chemical Substances	Glycation End Products, Advanced ; Plant Extracts ; titanium dioxide (15FIX9V2JP) ; Serum Albumin, Bovine (27432CM55Q) ; Ribose (681HV46001) ; Titanium (D1JT611TNE)
Language	English
Publishing date	2022-09-21
Publishing country	England
Document type	Journal Article
ZDB-ID	283643-9
ISSN	1099-0844 ; 0263-6484
ISSN (online)	1099-0844
ISSN	0263-6484
DOI	10.1002/cbf.3744
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