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| 1 | Water-induced softening behavior of clay-rich sandstone in Lanzhou Water Supply Project,China显示文摘The strength of clay-rich sandstone decreases significantly when in contact with water due to softening effects.This scenario can pose a severe threat to the stability of water diversion tunnels during construction and operation periods.To address the issues related to water-induced softening in clay-rich sandstone zones in a water diversion tunnel of Lanzhou Water Supply Project,the microscopic and micromechanical variations of rocks due to increasing water content in two different zones i.e.zones A and B,were determined by various testing methods,such as X-ray diffraction(XRD),scanning electron microscopy(SEM),thin section microscopy,micro-indentation test,sonic velocity test,and slake durability test.The microscopic analysis confirms the presence of montmorillonite mineral which is the dominant problematic geomaterial in engineering application.The integrity and durability of clay-rich sandstone were determined with sonic velocity and slake durability tests to calibrate the results obtained by the micro-indentation test.It shows that the elastic modulus and hardness of clay-rich sandstone decrease with the increase of saturation time,up to 144 h,which is more significant and rapid during early stage of saturation.After 144 h of saturation,the elastic modulus decreases by 89% and 97%,and the hardness decreases by 89% and 99% for zones A and B sandstones,respectively.The results of slake durability and sonic velocity indicate that zone A sandsto ne remains 56.19% durability after 144 h of saturation,while zone B sandstone loses its durability merely after 72 h of saturation.The clay-rich sandstone starts to dissolve in water when the saturation time exceeds 144 h.The significant decreases in strength and durability of clay-rich sandstone due to water-induced softening are serious threats to tunnel stability.The improvements in the strength of surrounding rock mass by grouting and permeability by installation of drainage galleries can reduce the damage caused by water-induced softening. | Muhammad Usman Azhar Hui Zhou Fanjie Yang Adnan Younis Xinjing Lu Houguo Fang Yijun Geng | 2020 | Journal of Rock Mechanics and Geotechnical Engineering2020，12，3： | 3 |
| 2 | The Pakistan Risk of Myocardial Infarction Study: a resource for the study of genetic, lifestyle and other determinants of myocardial infarction in South Asia显示文摘 | Danish Saleheen Moazzam Zaidi Asif Rasheed Usman Ahmad Abdul Hakeem Muhammed Murtaza Waleed Kayani Azhar Faruqui Assadullah Kundi Khan Shah Zaman Zia Yaqoob Liaquat Ali Cheema Abdus Samad Syed Zahed Rasheed Nadeem Hayat Mallick Muhammad Azhar Rashid Jooma | 2009 | European Journal of Epidemiology2009，，6： | 1 |
| 3 | Intercomparison of Environmental Gamma doses Measured with A NaI(Tl) Survey Meter and Thermoluminescent Dosimeters(TLDs) in the Poonch Division of Azad Kashmir, Pakistan显示文摘This study presents the intercomparison of the outdoor environmental gamma dose rates measured using a Na I(Tl)based survey meter along with thermoluminescent dosimeters(TLDs)and estimation of excess lifetime cancer risk(ELCR),for the inhabitants of Poonch division of the | Muhammad Rafique Kimberlee J Kearfott Khalil Ahmad Jabeen Akhter Abdul Razzaq Khan Raja Azhar Saeed Saeed Ur Rahman Matiullah Muhammad Usman Rajput | 2014 | Biomedical and Environmental Sciences2014，27，12： | 0 |
| 4 | Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI)显示文摘Immunization is a noteworthy and proven tool for eliminating lifethreating infectious diseases,child mortality and morbidity.Expanded Program on Immunization(EPI)is a nation-wide program in Pakistan to implement immunization activities,however the coverage is quite low despite the accessibility of free vaccination.This study proposes a defaulter prediction model for accurate identification of defaulters.Our proposed framework classifies defaulters at five different stages:defaulter,partially high,partially medium,partially low,and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization schedule.Different machine learning algorithms are applied on Pakistan Demographic and Health Survey(2017–18)dataset.Multilayer Perceptron yielded 98.5%accuracy for correctly identifying children who are likely to default from immunization series at different risk stages of being defaulter.In this paper,the proposed defaulters’prediction framework is a step forward towards a data-driven approach and provides a set of machine learning techniques to take advantage of predictive analytics.Hence,predictive analytics can reinforce immunization programs by expediting targeted action to reduce dropouts.Specially,the accurate predictions support targeted messages sent to at-risk parents’and caretakers’consumer devices(e.g.,smartphones)to maximize healthcare outcomes. | Sadaf Qazi Muhammad Usman Azhar Mahmood Aaqif Afzaal Abbasi Muhammad Attique Yunyoung Nam | 2021 | Computers, Materials & Continua2021，，1： | 0 |
| 5 | Tocilizumab in severe COVID-19-A randomized,double-blind,placebo-controlled trial显示文摘Background:The therapeutic effectiveness of interleukin-6 receptor inhibitor in critically ill hospitalized patients with coronavirus disease 2019(COVID-19)is uncertain.Methods:To evaluate the efficacy and safety of the outcome as recovery or death of tocilizumab for severe acute respiratory syndrome-coronavirus-2(SARS-CoV-2)infection,we conducted a randomized,double-blinded,placebo-controlled phase 2 trial in critically ill COVID-19 adult patients.The patients were randomly assigned in a 4:1 ratio to receive standard medical treatment plus the recommended dose of either tocilizumab or the placebo drug.Randomization was stratified.The primary outcome was the recovery or death after administration of tocilizumab or a placebo drug.The secondary outcomes were clinical recovery or worsening of the patients’symptoms and inflammatory markers and discharge from the hospital.Results:Of 190 patients included in this study,152 received tocilizumab,and 38 received a placebo.The duration of hospital stay of the interventional group was 12.9±9.2,while the placebo group had a more extended hospital stay(15.6±8.8).The mortality ratio for the primary outcome,ie,mortality or recovery in the tocilizumab group was 17.8%;p=0.58 by log-rank test).The mortality ratio in the placebo group was 76.3%;p=0.32 by log-rank test).The inflammatory markers in the tocilizumab group significantly declined by day 16 compared to the placebo group.Conclusions:The use of tocilizumab was associated with decreased mortality,earlier improvement of inflamma-tory markers,and reduced hospital stay in patients with severe COVID-19. | Muhammad Irfan Malik Sardar Al Fareed Zafar Fabiha Qayyum Muna Malik Muhammad Sohaib Asghar Muhammad Junaid Tahir Ammarah Arshad Fatima Khalil Hafiza Shafia Naz Mudassar Aslam Jodat Saleem Abdul Aziz Mustafa Usman Azhar Muhammad Naqash Zohaib Yousaf | 2022 | Infectious Medicine2022，1，2： | 0 |
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