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  1. Article ; Online: Genome-wide identification and evolutionary analysis of the FGF gene family in buffalo.

    Hassan, Faiz-Ul / Deng, Tingxian / Rehman, Muhammad Saif-Ur / Rehman, Zia-Ur / Sarfraz, Saad / Mushahid, Muhammad / Rehman, Saif Ur

    Journal of biomolecular structure & dynamics

    2023  , Page(s) 1–12

    Abstract: Fibroblast growth factors (FGFs) are important polypeptide growth factors that play a critical role in many developmental processes, including differentiation, cell proliferation, and migration in mammals. This study ... ...

    Abstract Fibroblast growth factors (FGFs) are important polypeptide growth factors that play a critical role in many developmental processes, including differentiation, cell proliferation, and migration in mammals. This study employs
    Language English
    Publishing date 2023-09-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2023.2256861
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sensitivity of Epworth Sleepiness Scale in Detecting Obstructive Sleep Apnea in Pakistani Adults

    Faisal Asad / Madiha Moin / Saif-ur-Rehman / Ubedullah

    Liaquat National Journal of Primary Care, Vol 6, Iss 1, Pp 40-

    2024  Volume 43

    Abstract: Background: Self-reported measures of Excessive daytime Sleepiness, such as the Epworth Sleepiness Scale (ESS), have been widely used as a screening tool for OSA, but their accuracy in predicting OSA has been questioned. Objective: The main objective of ... ...

    Abstract Background: Self-reported measures of Excessive daytime Sleepiness, such as the Epworth Sleepiness Scale (ESS), have been widely used as a screening tool for OSA, but their accuracy in predicting OSA has been questioned. Objective: The main objective of this research is to re-evaluate the usage of ESS in predicting Obstructive Sleep Apnea (OSA) and to consider additional screening tools, such as polysomnography, to improve the accuracy of OSA diagnosis in the Pakistani population. Methods: It was a retrospective cross-sectional study design, conducted on 500 participants. Data was obtained from the hospital records at the Sleep Lab of Dow University Hospital from January 2021 to March 2023 who completed the Epworth Sleepiness Scale (ESS), received a clinical evaluation from a doctor, and underwent diagnostic polysomnography (PSG), polysomnography is a comprehensive sleep study that monitors various physiological parameters to diagnose sleep disorders. Results: Out of a total sample of 500 participants, 272 were males and 228 were females. The average age was 51 ± 12 years. The average body mass index (BMI) was 37.2 ± 8.1 Kg/m2 . The average Epworth Sleepiness Scale (ESS) score of the participants was 12.4 ± 4.2. The finding of our study shows Epworth sleepiness score is a good predictor of OSA (AUC: 0.84, 95% CI: 0.757-0.923). However, the optimal cutoff of ESS is 8.4 and above which shows sensitivity and specificity of 83.1% and 81.8% respectively. Conclusion: The results suggest that the Epworth Sleepiness Scale may be a useful tool for identifying individuals with OSA, although it also has a low false positive rate, there is a need for further research, and the importance of combining clinical assessment and diagnostic tests for accurate OSA diagnosis.
    Keywords excessive daytime sleepiness ; epworth score ; ess ; eds ; osa ; Medicine (General) ; R5-920
    Subject code 150
    Language English
    Publishing date 2024-04-01T00:00:00Z
    Publisher Liaquat National Hospital and Medical College
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Influence of chemical composition on the amount of second phases precipitates and transformation temperatures of TiNiPdCu shape memory alloys prepared through novel powder metallurgy route.

    Hussain, Abid / Kan, Afzal / Khan, Muhammad Imran / Rehman, Saif Ur

    RSC advances

    2023  Volume 13, Issue 42, Page(s) 29376–29392

    Abstract: The chemical composition of TiNiPdCu high temperature shape memory alloys (HTSMAs) affects their microstructure and martensitic transformations. In TiNiPdC HTSMAs, second phase precipitates were found. Extremely high densities of nanoscale precipitates ... ...

    Abstract The chemical composition of TiNiPdCu high temperature shape memory alloys (HTSMAs) affects their microstructure and martensitic transformations. In TiNiPdC HTSMAs, second phase precipitates were found. Extremely high densities of nanoscale precipitates of TiPdCu and Ti
    Language English
    Publishing date 2023-10-09
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra05513b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Expression of concern: Influence of chemical composition on the amount of second phases precipitates and transformation temperatures of TiNiPdCu shape memory alloys prepared through novel powder metallurgy route.

    Hussain, Abid / Khan, Afzal / Khan, Muhammad Imran / Rehman, Saif Ur

    RSC advances

    2023  Volume 13, Issue 51, Page(s) 35992

    Abstract: Expression of concern for 'Influence of chemical composition on the amount of second phases precipitates and transformation temperatures of TiNiPdCu shape memory alloys prepared through novel powder metallurgy route' by Abid ... ...

    Abstract Expression of concern for 'Influence of chemical composition on the amount of second phases precipitates and transformation temperatures of TiNiPdCu shape memory alloys prepared through novel powder metallurgy route' by Abid Hussain
    Language English
    Publishing date 2023-12-11
    Publishing country England
    Document type Expression of Concern
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra90122j
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Whole-genome SNP markers reveal runs of homozygosity in indigenous cattle breeds of Pakistan

    Saif-ur-Rehman, Muhammad / Hassan, Faiz-ul / Reecy, James / Deng, Tingxian

    Animal Biotechnology. 2023 Aug. 1, v. 34, no. 4 p.1384-1396

    2023  

    Abstract: The runs of homozygosity (ROH) were identified in 14 Pakistani cattle breeds (n = 105) by genotyping with the Illumina 50 K SNP BeadChip. These breeds were categorized into Dairy, Dual, and Draft breeds based on their utility and production performance. ... ...

    Abstract The runs of homozygosity (ROH) were identified in 14 Pakistani cattle breeds (n = 105) by genotyping with the Illumina 50 K SNP BeadChip. These breeds were categorized into Dairy, Dual, and Draft breeds based on their utility and production performance. We identified a total of 10,936 ROHs which mainly consisted of a high number of shorter segments (1–4 Mb). Dairy group exhibited the highest level of inbreeding (FROH: 0.078 ± 0.028) while the lowest (FROH: 0.002 ± 0.008) was observed in Dual group. In 48 genomic regions identified with a high frequency of ROH, 207 genes were detected in the three breed groups. A substantially higher number of ROH islands detected in dairy breeds indicated the impact of the positive selection pressure over the years. Important candidate genes and QTL were detected in the ROH islands associated with economic traits like milk production, reproduction, meat, carcass, and health traits in dairy cattle.
    Keywords biotechnology ; dairy cattle ; genomics ; genotyping ; homozygosity ; meat ; milk production ; reproduction ; selection pressure ; Pakistan ; Runs of homozygosity ; indigenous cattle ; candidate genes ; QTL
    Language English
    Dates of publication 2023-0801
    Size p. 1384-1396.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 2043243-4
    ISSN 1532-2378 ; 1049-5398
    ISSN (online) 1532-2378
    ISSN 1049-5398
    DOI 10.1080/10495398.2022.2026369
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: A machine learning approach for Urdu text sentiment analysis

    Muhammad Akhtar / Rana Saud Shoukat / Saif Ur Rehman

    Mehran University Research Journal of Engineering and Technology, Vol 42, Iss 2, Pp 75-

    2023  Volume 87

    Abstract: Product evaluations, ratings, and other sorts of online expressions have risen in popularity as a result of the emergence of social networking sites and blogs. Sentiment analysis has emerged as a new area of study for computational linguists as a result ... ...

    Abstract Product evaluations, ratings, and other sorts of online expressions have risen in popularity as a result of the emergence of social networking sites and blogs. Sentiment analysis has emerged as a new area of study for computational linguists as a result of this rapidly expanding data set. From around a decade ago, this has been a topic of discussion for English speakers. However, the scientific community completely ignores other important languages, such as Urdu. Morphologically, Urdu is one of the most complex languages in the world. For this reason, a variety of unique characteristics, such as the language's unusual morphology and unrestricted word order, make the Urdu language processing a difficult challenge to solve. This research provides a new framework for the categorization of Urdu language sentiments. The main contributions of the research are to show how important this multidimensional research problem is as well as its technical parts, such as the parsing algorithm, corpus, lexicon, etc. A new approach for Urdu text sentiment analysis including data gathering, pre-processing, feature extraction, feature vector formation, and finally, sentiment classification has been designed to deal with Urdu language sentiments. The result and discussion section provides a comprehensive comparison of the proposed work with the standard baseline method in terms of precision, recall, f-measure, and accuracy of three different types of datasets. In the overall comparison of the models, the proposed work shows an encouraging achievement in terms of accuracy and other metrics. Last but not least, this section also provides the featured trend and possible direction of the current work.
    Keywords Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Science ; Q
    Subject code 400
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Mehran University of Engineering and Technology
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Deep transfer learning compared to subject-specific models for sEMG decoders.

    Lehmler, Stephan Johann / Saif-Ur-Rehman, Muhammad / Tobias, Glasmachers / Iossifidis, Ioannis

    Journal of neural engineering

    2022  Volume 19, Issue 5

    Abstract: ... ...

    Abstract Objective
    MeSH term(s) Humans ; Electromyography/methods ; Algorithms ; Artificial Limbs ; Calibration ; Machine Learning
    Language English
    Publishing date 2022-10-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/ac9860
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Information and communication technology, institutional quality, and environmental sustainability in ASEAN countries.

    Rehman, Saif Ur / Gill, Abid Rashid / Ali, Minhaj

    Environmental science and pollution research international

    2023  

    Abstract: Concerns regarding climate change pollution have remained critical in achieving sustainable development goals. However, countries are still having difficulty reducing environmental deterioration, requiring substantial attention. Hence, this study ... ...

    Abstract Concerns regarding climate change pollution have remained critical in achieving sustainable development goals. However, countries are still having difficulty reducing environmental deterioration, requiring substantial attention. Hence, this study evaluates the effect of information and communication technology (ICT), institutional quality, economic growth, and energy consumption on ecological footprint under the environment Kuznets curve (EKC) framework in the Association of Southeast Asian Nations (ASEAN) countries from 1990 to 2018. Moreover, this study also checks the impact of an interaction term (ICT and institutional quality) on ecological footprint. We utilized cross-section dependence, cross-section unit root, and Westerlund's cointegration tests for the econometric investigation to check cross-section dependence, stationarity, and cointegration among parameters. For long and short run estimation, we used pooled mean group (PMG) estimator. PMG outcomes demonstrate that the ICT and institutional quality clean the environment by mitigating the ecological footprint. Further, the joint impact of ICT and institutional quality also moderate environmental degradation. Moreover, economic growth and energy consumption increase the ecological footprint. In addition, empirical outcomes also support the presence of the EKC hypothesis in ASEAN countries. The empirical outcomes suggest that environmental sustainability's sustainable development goal can be achieved through ICT innovation and diffusion and by improving the intuitional quality framework.
    Language English
    Publishing date 2023-04-29
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-27219-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Metal pollution in the topsoil of lands adjacent to Sahiwal Coal Fired Power Plant (SCFPP) in Sahiwal, Pakistan.

    Luqman, Muhammad / Niazi, Aliza / Kashif, Saif Ur Rehman / Arooj, Fariha / Aziz Ur Rehman, Syed / Awan, Muhammad Umer Farooq / Wasim, Muhammad / Raza, Faakhar

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0298433

    Abstract: Coal fly ash from a coal fired power plant is a significant anthropogenic source of various heavy metals in surrounding soils. In this study, heavy metal contamination in topsoil around Sahiwal coal fired power plant (SCFPP) was investigated. Within ... ...

    Abstract Coal fly ash from a coal fired power plant is a significant anthropogenic source of various heavy metals in surrounding soils. In this study, heavy metal contamination in topsoil around Sahiwal coal fired power plant (SCFPP) was investigated. Within distance of 0-10, 11-20, 21-30 and 31-40 km of SCFPP, total 56 soil samples were taken, 14 replicate from each distance along with a background subsurface soil sample beyond 60 km. Soil samples were subjected to heavy metals analysis including Fe, Cu and Pb by Atomic Absorption Spectrophotometer (AAS). Composite samples for each distance were analyzed for Al, As, Ba, Cd, Co, Cr, Mn, Mo, Ni, Se, Sr, Zn by Inductively Coupled Plasma (ICP). Pollution indices of exposed soil including Enrichment Factor (EF), Contamination Factor (CF), Geoaccumulation Index (Igeo), and Pollution Load Index (PLI) were calculated. Ecological risk index ([Formula: see text]) of individual metals and the Potential Ecological Risk Index (PERI) for all metals were determined. Soil samples within 40 km of SCFPP were significantly polluted with Pb (mean 2.81 ppm), Cu (mean 0.93 ppm), and Fe (mean 7.93 ppm) compared to their background values (Pb 0.45, Cu 0.3, and Fe 4.9 ppm). Some individual replicates were highly contaminated where Pb, Fe, and Cu values were as high as 6.10, 35.4 and 2.51 ppm respectively. PLI, Igeo, CF, and EF for metals classified the soil around CFPP as "moderate to high degree of pollution", "uncontaminated to moderately contaminated", "moderate to very high contamination", and "moderate to significant enrichment" respectively with average values for Cu as 2.75, 0.82, 3.09, 4.01; Pb 4.79, 1.56, 6.16, 7.76, and for Fe as 1.20, 0.40, 1.62, 3.35 respectively. Average Ecological Risk Index ([Formula: see text]) of each metal and Potential Ecological Risk Index (PERI) for all metals classified the soils as "low risk soils" in all distances. However, ([Formula: see text]) of Pb at a number of sites in all distances have shown "moderate risk". The linear correlation of physico-chemical parameter (EC, pH, Saturation %) and metals have recorded several differential correlations, however, their collective impact on Pb in 0-10 km, has recorded statistically significant correlation (p-value 0.01). This mix of correlations indicates complex interplay of many factors influencing metal concentrations at different sampling sites. The concentration of As, Cr, Co, Cd, and Zn was found within satisfactory limits and lower than in many parts of the world. Although the topsoil around SCFPP is largely recorded at low risk, for complete assessment of its ecological health, further research considering comprehensive environmental parameters, all important trace metals and variety of input pathways is suggested.
    MeSH term(s) Pakistan ; Cadmium/analysis ; Lead/analysis ; Soil Pollutants/analysis ; Environmental Monitoring ; Risk Assessment ; Metals, Heavy/analysis ; Soil ; Power Plants ; Coal/analysis ; China
    Chemical Substances Cadmium (00BH33GNGH) ; Lead (2P299V784P) ; Soil Pollutants ; Metals, Heavy ; Soil ; Coal
    Language English
    Publishing date 2024-02-15
    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.0298433
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Molecular Characterization of TGF-Beta Gene Family in Buffalo to Identify Gene Duplication and Functional Mutations.

    Rehman, Muhammad Saif-Ur / Hassan, Faiz-Ul / Rehman, Zia-Ur / Ishtiaq, Iqra / Rehman, Saif Ur / Liu, Qingyou

    Genes

    2022  Volume 13, Issue 8

    Abstract: The TGF-β superfamily is ubiquitously distributed from invertebrates to vertebrates with diverse cellular functioning such as cell adhesion, motility, proliferation, apoptosis, and differentiation. The present study aimed to characterize the TGF-β gene ... ...

    Abstract The TGF-β superfamily is ubiquitously distributed from invertebrates to vertebrates with diverse cellular functioning such as cell adhesion, motility, proliferation, apoptosis, and differentiation. The present study aimed to characterize the TGF-β gene superfamily in buffalo through evolutionary, structural, and single nucleotide polymorphism (SNPs) analyses to find the functional effect of SNPs in selected genes. We detected 32 TGF-β genes in buffalo genome and all TGF-β proteins exhibited basic nature except INHA, INHBC, MSTN, BMP10, and GDF2, which showed acidic properties. According to aliphatic index, TGF-β proteins were thermostable but unstable in nature. Except for GDF1 and AMH, TGF-β proteins depicted hydrophilic nature. Moreover, all the detected buffalo TGF-β genes showed evolutionary conserved nature. We also identified eight segmental and one tandem duplication event
    MeSH term(s) Amino Acids/genetics ; Animals ; Biological Evolution ; Gene Duplication ; Mutation ; Transforming Growth Factor beta/genetics
    Chemical Substances Amino Acids ; Transforming Growth Factor beta
    Language English
    Publishing date 2022-07-22
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2527218-4
    ISSN 2073-4425 ; 2073-4425
    ISSN (online) 2073-4425
    ISSN 2073-4425
    DOI 10.3390/genes13081302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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