556 research outputs found
Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal
No full textIrrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal
sj-pdf-2-imr-10.1177_03000605231187939 - Supplemental material for Association of Parsonage–Turner syndrome with COVID-19 infection and vaccination: a systematic review
No full textSupplemental material, sj-pdf-2-imr-10.1177_03000605231187939 for Association of Parsonage–Turner syndrome with COVID-19 infection and vaccination: a systematic review by Muhammad Zain Ameer, Ata Ul Haiy, Muhammad Hassan Bajwa, Huzaifa Abeer, Biah Mustafa, Fatima Ameer, Zunaira Amjad and Aqeeb Ur Rehman in Journal of International Medical Research</p
sj-pdf-1-imr-10.1177_03000605231187939 - Supplemental material for Association of Parsonage–Turner syndrome with COVID-19 infection and vaccination: a systematic review
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605231187939 for Association of Parsonage–Turner syndrome with COVID-19 infection and vaccination: a systematic review by Muhammad Zain Ameer, Ata Ul Haiy, Muhammad Hassan Bajwa, Huzaifa Abeer, Biah Mustafa, Fatima Ameer, Zunaira Amjad and Aqeeb Ur Rehman in Journal of International Medical Research</p
FIGURE 4 in Leucoagaricus gujratensis sp. nov. (Agaricaceae, Agaricales) from Pakistan
No full textFIGURE 4. Phylogram generated from Maximum Likelihood (ML) methods based on LSU sequences data representing Leucoagaricus gujratensis and its related species. Novel sequences generated during this study are in bold. Novel sequences generated during this study are in bold.Published as part of Rehman, Amatu, Usman, Muhammad, Afshan, Najam Ul Sehar & Khalid, Abdul Nasir, 2023, Leucoagaricus gujratensis sp. nov. (Agaricaceae, Agaricales) from Pakistan, pp. 39-50 in Phytotaxa 589 (1) on page 47, DOI: 10.11646/phytotaxa.589.1.4, http://zenodo.org/record/775502
IDD-Net: A Deep Learning Approach for Early Detection of Dental Diseases Using X-Ray Imaging
No full textEarly detection of dental diseases such as cavities, periodontitis, and periapical infections is crucial for effective management and prevention, as these conditions can lead to severe complications if left untreated. However, traditional diagnostic methods are often manual, time consuming, and heavily reliant on expert judgment, which can introduce variability and delay in diagnosis. To address these critical challenges, we propose IDD-Net (Identification of Dental Disease Network), a novel deep learning-based model designed for the automatic detection of dental diseases using panoramic X-ray images. The proposed framework leverages Convolutional Neural Networks (CNN) to enhance the accuracy and efficiency of dental condition classification, thereby significantly improving the diagnostic process. In our comprehensive evaluation, IDD-Net’s performance is rigorously compared to four state-of-the-art deep learning models: AlexNet, InceptionResNet-V2, Xception, and MobileNet-V2. To tackle the issue of class imbalance, we employ the Synthetic Minority Over-sampling Technique with Tomek links (SMOTE Tomek), ensuring a balanced sample distribution that enhances model training. Experimental results showcase IDDNet’s exceptional performance, achieving a 99.97% AUC, 98.99% accuracy, 98.24% recall, 98.99% precision, and a 98.97% F1-score, thus outperforming benchmark classifiers. These findings underscore the transformative potential of IDD-Net as a reliable and efficient tool for assisting dental and medical professionals in the early detection of dental diseases. By streamlining the diagnostic process, IDD-Net not only improves patient outcomes but also has the potential to reshape standard practices in dental care, paving the way for more proactive and preventive
approaches in oral health management
FIGURE 2. A-F in Leucoagaricus gujratensis sp. nov. (Agaricaceae, Agaricales) from Pakistan
No full textFIGURE 2. A-F. Anatomical characters of Leucoagaricus gujratensis (LAH37457, holotype), A. basidiospores, B. basidia, C. Cheilocystidia, D. Stipitipellis, E. Pileipellis, F. Hyphae of annulus. Drawings by Amatu Rehman.Published as part of Rehman, Amatu, Usman, Muhammad, Afshan, Najam Ul Sehar & Khalid, Abdul Nasir, 2023, Leucoagaricus gujratensis sp. nov. (Agaricaceae, Agaricales) from Pakistan, pp. 39-50 in Phytotaxa 589 (1) on page 45, DOI: 10.11646/phytotaxa.589.1.4, http://zenodo.org/record/775502
Study of Pakistan pilot project farmer-leaders to Nepal
No full textFarmer participation / Irrigation management / Farmer managed irrigation systems / Irrigated farming / Sustainable agriculture / Institution building / Pakistan
Leucoagaricus gujratensis A. Rehman, Usman, Afshan & Khalid 2023, sp. nov.
No full text<p> <i>Leucoagaricus gujratensis</i> A. Rehman, Usman, Afshan & Khalid, <i>sp. nov</i>.</p> <p> <b>(Figures 1–2)</b></p> <p>MycoBank: MB845724</p> <p> <b>Etymology:</b> The specific epithet “ <i>gujratensis</i> ” (Latin) refers to the type locality “Gujrat District”.</p> <p> <b>Diagnosis:</b> This species is characterized by milky white pileus surface with brown furfuraceous squamules, lacrymoid to amygdaliform basidiospores (5.4–8.6 × 3.9–5.5 μm) with abundant clavate to slightly fusiform, fabiform cheilocystidia, pileipellis with periclinal hyphae to irregularly ascending, cylindrical and septate hyphae wide as cutis with light brown terminal end.</p> <p> <b>Holotype:</b> PAKISTAN. Punjab Province, Gujrat District (32°52’4.71”N 74° 7’35.85”E), 311 m a.s.l., on soil with leaf litter under <i>Dalbergia sissoo</i> Roxb., August 18, 2021, AG02, <i>Amatu Rehman</i> & <i>Amanat Hussain</i> (LAH37457). GenBank: OP526420 (ITS), OP885328 (LSU).</p> <p>Pileus 52–92 mm in diam., campanulate, expanding to convex to plano-convex or umbonate with small umbo with light brown (7.5YR 6/6) to dark brown (5YR 2/4) and incurved margins, smooth, shiny with brown (5YR 3/4) to light brown (7.5YR 5/4) glabrous around umbo on milky white (7.5Y 9/1) pileus surface that shows radial streaks towards margin. Lamellae milky white, close to distant, 1–3 series of lamellulae, with entire edges. Stipe 3.2–5.0 × 2.8–3.9 mm, pinkish white (10YR 7/3) to slightly brown (5YR 5/6), central, hollow, fibrillose, narrower towards the pileus.Annulus milky white (7.5Y 9/1), prominent, membranous, ascending. Context milky white (7.5Y 9/1). No color change on handling. Odor and taste not tested.</p> <p>Basidiospores [100/6/4] (5.4–)5.5–8.5(–8.6) × (3.9–)4.4–5.4(–5.5) μm, Q = (1.2–)1.3–1.4(–1.5), Qav = 1.35, amygdaliform in side view, narrowly ovoid in frontal view, hyaline in KOH, with refractive guttules, slightly thick walled (less than 3–4 μm), smooth, without a germ pore, dextrinoid. Basidia 12.9–25.4 × 7.6–11.8 μm, clavate, hyaline in KOH, bearing 1–4 sterigmata up to 3–5 μm long. Pleurocystidia absent. Cheilocystidia 7.9–27.2 × 5.7–12.8 μm, abundant, tightly packed, forming a sterile edge, clavate to slightly fusiform, fabiform, hyaline in 5% KOH, without crystal content. Pileipellis as cutis made up of periclinal hyphae to irregularly ascending, cylindrical to sub-cylindrical, slightly overlapping, septate hyphae 5.2–9.2 μm wide, light brown colored terminal ends, thin-walled to slightly thickwalled. Stipitipellis as cutis with repent, cylindrical, septate hyphae 2.4–5.8 μm wide, hyaline, thin walled. Annulus hyphae 4.2–8.2 μm wide, cylindrical to elongate, hyaline elements in 5% KOH. Clamp connections absent in all tissues.</p> <p> <b>Habit and Habitat:</b> Saprotrophic and solitary on sandy soil, rich in leaf litter under <i>Dalbergia sissoo</i> trees. Fruiting during Monsoon.</p> <p> <b>Additional specimens examined:</b> PAKISTAN. PUNJAB, Gujrat District (32°52’16.30”N 74° 7’30.32”E), 315 m a.s.l., August 18, 2021, AG 22, <i>Amatu Rehman</i> & <i>Amanat Hussain</i> (LAH37458), GenBank: OP526421 (ITS), OP885329 (LSU), (32°86’9N 74°13’1E) 313 m a.s.l., July 26, 2022, AR 41, <i>Amatu Rehman</i> & <i>Amanat Hussain</i> (LAH37607), (32°51’58.55”N 74° 7’27.47”E) 314 m a.s.l., August 07, 2022, AR 42, <i>Amatu Rehman</i> & <i>Amanat Hussain</i> (LAH 37608).</p>Published as part of <i>Rehman, Amatu, Usman, Muhammad, Afshan, Najam Ul Sehar & Khalid, Abdul Nasir, 2023, Leucoagaricus gujratensis sp. nov. (Agaricaceae, Agaricales) from Pakistan, pp. 39-50 in Phytotaxa 589 (1)</i> on pages 43-47, DOI: 10.11646/phytotaxa.589.1.4, <a href="http://zenodo.org/record/7755028">http://zenodo.org/record/7755028</a>
Effects of L-Moments, Maximum Likelihood and Maximum Product of Spacing Estimation Methods in Using Pearson Type-3 Distribution for Modeling Extreme Values
No full textModeling of extreme values like annual maxima's is important in many applications. Pearson Type-3 (PE3) distribution is an important probability distribution, widely used for modeling of extreme values with a variety of estimation methods. The focus of this study is to assess the effects of three methods of estimation of parameters for PE3 distribution namely L-moments (LM), maximum likelihood estimation (MLE) and maximum product of spacing (MPS). Assessment is based on a two-step approach. The first step uses simulation experiments while the second is based on empirical analyses, by varying size and shape characteristics of the sample. The study concluded that the estimates using LM method have low bias in case of small sample and when data exhibits small to moderate skewness and kurtosis. MPS is a reasonable alternative and provides efficient estimates, especially when the data shows large skewness and kurtosis with small to moderate size of sample. MLE method is useful in case of very large sample size with low values of shape characteristics of data. The results of this study provide useful guidelines for fitting PE3 distribution, especially to extreme values
Supplemental material for Fabrication, in vitro and in vivo studies of bilayer composite membrane for periodontal guided tissue regeneration
No full textSupplemental Material for Fabrication, in vitro and in vivo studies of bilayer composite membrane for periodontal guided tissue regeneration by Saba Zahid, Abdul Samad Khan, Aqif Anwar Chaudhry, Sarah Ghafoor, Qurat Ul Ain, Ahtasham Raza, Muhammad Imran Rahim, Oliver Goerke, Ihtesham Ur Rehman and Asma Tufail in Journal of Biomaterials Applications</p
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