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Wernicke's encephalopathy in exclusive breastfed infants

World Journal of Pediatrics 2017年第5期13卷 485-488页

作者： Javeed Iqbal Bhat Qazi Iqbal Ahmed Ambreen ali Ahangar Bashir Ahmed Charoo Mushtao Ahmad Sheikh wajid ali syed Department of Pediatrics Sher-I-Kashmir Institute of Medical SciencesSrinagarJammu&KashmirIndia Registrar Department of Anesthesiology and Critical Care GMC SrinagarJammu&KashmirIndia

Background:Kashmir has a population that largely consumes polished rice which is deficient in ***,lactating women in this region are prone to severe thiamine deficiency because of their traditional food avoidance *** beriberi is common in exclusively breastfed infants of thiamine deficient mothers in ***:This was a one year prospective hospitalbased *** included 50 exclusively breastfed infants in our *** patients were evaluated as per unit protocol including complete septic workup and metabolic *** of our patients belonged to low and middle income group families,and mothers were on customary dietary *** and anthropometric data were collected from all the study *** addition,data regarding the treatments received by the study population and overall mortality were ***:The mean age,male:female ratio,and mean weight of the study population were 3.15±0.97 months,1.5∶1,and 5.1±1.1 kg,*** food avoidance practices were followed by 80% of the *** was observed in 40 (80%) *** was observed in 30 (60%).Septic workup including cerebro spinal fluid analysis was normal in all *** magnetic resonance imaging finding was bilateral basal ganglia *** blood thiamine diphosphate levels showed a drastic decrease (10-49 nmol/L).Ten percent of the study infants ***:In exclusively breasffed infants,we observed acute infantile encephalopathy with epidemiological,clinical,biochemical,and radiological features suggestive of infantile Wernicke's encephalopathy and a favourable therapeutic response to thiamine supplementation during the acute stage.

关键词： basal ganglia hyperintensity polished rice Wernicke's encephalopathy

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A decline in snow cover area of Passu and Ghulkin valleys between 1995 and 2022

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Journal of Mountain Science 2023年第12期20卷 3542-3551页

作者： Imran HUSSAIN Mumtaz ali Sher MUHAMMAD wajid HASSAN Salar ali Zakir HUSSAIN syed Hammad ali Shaukat ali Muhammad Younis KHAN Department of Environmental Sciences University of BaltistanSkardu 16100Pakistan Micromaps IT and GIS Consultancy LLC 26135UAE International Centers for Integrated Mountain Development(ICIMOD) G.P.O.Box 3226KathmanduNepal Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China Glacier Monitoring Research Centre(GMRC) Water and Power Development Authority(WAPDA)Lahore 54000Pakistan SickKids Centre for Global Child Health The Hospital for Sick ChildrenTorontoOntario M5G 2L3Canada Global Change Impact Studies Center(GCISC) Islamabad 44000Pakistan Departments of Earth Sciences College of ScienceSultan Qaboos UniversityMuscat 123Oman National Centers of Excellence in Geology(NCEG) University of PeshawarPeshawar 25130Pakistan

The global cryosphere is experiencing accelerated melting due to climate ***,the Karakoram anomaly is under discussion with a debate about the possibility that the anomaly may have recently *** study aims to evaluate the up-to-date changes in snow cover in the western Karakoram *** observed the snow cover changes in Passu and Ghulkin valleys in the Hunza River basin(HRB)of the Karakoram through multitemporal Landsat satellite data between 1995 and *** found a significant reduction in snow cover in these valleys,with an average reduction rate of 0.42 km~2/yr,resulting in a total reduction of~11.46 km~2 between 1995 and *** reduction in snow cover is consistent with the mass loss of glaciers in the Karakoram region in recent *** decline in snow cover in these valleys is also consistent with the meteorological *** temperature in summer(June)has significantly increased whereas the precipitation in the accumulation season(March)has *** rapid changes suggest that it is crucially important to monitor the snow cover on a regular basis to support downstream management of snowmelt *** addition,there is a need of planning for mitigation and adaptation strategies for snow-related hazards.

关键词： Cryosphere Snow covers area Climate change Karakoram

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OILCROP-SUN Model Relevance for Evaluation of Nitrogen Management of Sunflower Hybrids in Sargodha, Punjab

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American Journal of Plant Sciences 2013年第9期4卷 1731-1735页

作者： Ashfaq Ahmad Amjed ali Tasneem Khaliq syed Aftab wajid Zafar Iqbal Muhammad Ibrahim Hafiz Muhammad Rashad Javeed Gerrit Hoogenboom Agro-Climatology Lab University of Agriculture Faisalabad Pakistan College of Agriculture D. G. Khan Pakistan NFC Institute of Engineering and Technology Multan Pakistan University College of Agriculture University of Sargodha Sargodha Pakistan Washington State University Pullman USA.

The experiments were conducted to evaluate the performance of crop system (DSSAT) OILCROP-SUN model simulating growth & development and achene yield of sunflower hybrids in response to nitrogen under irrigated conditions in semi arid environment, Sargodha, Punjab. The model was evaluated with observed data collected in trials which were conducted during spring season in 2010 and 2011 in Sargodha, Punjab, Pakistan. Split plot design was used in layout of experiment with three replications. The hybrids (Hysun-33 & S-278) and N levels (0, 75, 150 and 225 ***-1) were allotted in main and sub plots, respectively. The OILCROP-SUN model showed that the model was able to simulate growth and yield of sunflower with an average of 10.44 error% between observed and simulated achene yield (AY). The results of simulation analysis indicated that nitrogen rate of 150 ***-1 (N3) produced the highest yield as compared to other treatments. Furthermore, the economic analysis through mean Gini Dominance also showed the dominance of this treatment compared to other treatment combinations. Thus management strategy consisting?of treatment 150 ***-1 was the best for high yield of sunflower hybrids.

关键词： Decision Support System for Agro-Technology Transfer Nitrogen Achene Yield Crop Modeling

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COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans

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Quantitative Biology 2022年第2期10卷 208-220页

作者： wajid Arshad Abbasi syed ali Abbas Saiqa Andleeb Maryum Bibi Fiaz Majeed Abdul Jaleel Muhammad Naveed Akhtar Computational Biology and Data Analysis Lab Department of Computer Sciences&Information TechnologyKing Abdullah CampusUniversity of Azad Jammu&KashmirMuzaffarabadAJ&K 13100Pakistan Biotechnology Lab Department of ZoologyKing Abdullah CampusUniversity of Azad Jammu&KashmirMuzaffarabadAJ&K 13100Pakistan Department of Software Engineering University of GujratGujrat 50700Pakistan Department of Computer Science (RCET)UETLahore 54000Pakistan Computational and Internet Services Division Pakistan Institute of Engineering and Applied Sciences(PIEAS)Islamabad 44000Pakistan

Background: Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people across the ***: In the absence or inadequate provision of therapeutic treatments of COVID-19 and the limited convenience of diagnostic techniques, there is a necessity for some alternate spontaneous screening systems that can easily be used by the physicians to rapidly recognize and isolate the infected patients to circumvent onward surge. A chest X-ray (CXR) image can effortlessly be used as a substitute modality to diagnose the ***: In this study, we present an automatic COVID-19 diagnostic and severity prediction system (COVIDX) that uses deep feature maps of CXR images along with classical machine learning algorithms to identify COVID-19 and forecast its severity. The proposed system uses a three-phase classification approach (healthy vs unhealthy, COVID-19 vs pneumonia, and COVID-19 severity) using different conventional supervised classification ***: We evaluated COVIDX through 10-fold cross-validation, by using an external validation dataset, and also in a real setting by involving an experienced radiologist. In all the adopted evaluation settings, COVIDX showed strong generalization power and outperforms all the prevailing state-of-the-art methods designed for this ***: Our proposed method (COVIDX), with vivid performance in COVID-19 diagnosis and its severity prediction, can be used as an aiding tool for clinical physicians and radiologists in the diagnosis and follow-up studies of COVID-19 infected ***: We made COVIDX easily accessible through a cloud-based webserver and python code available at https://***/view/wajidarshad/software and https://***/wajidarshad/covidx, respectively.

关键词： coronavirus COVID-19 radiology machine learning chest X-ray contagious infection

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