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| 1 | Predictive value and main determinants of abnormal features of intraoperative cholangiography during cholecystectomy显示文摘BACKGROUND:The major issue with intraoperative cholangiography (IOC) is whether its diagnostic accuracy for common bile duct (CBD) stones matches that of other diagnostic procedures,and thus,whether it will become a routine diagnostic procedure.The current study aimed to address the main determinants of CBD stone diagnosis in IOC among an Iranian population.METHODS:In a retrospective review database-based study conducted in Taleghani Hospital in Tehran between 2006 and 2008,baseline data and perioperative information of 2060 patients (male to female ratio 542:1518,mean age 53.7 years) who were candidates for cholecystectomy and underwent concomitant IOC for confirming CBD stones were reviewed.The predictive power of this procedure for diagnosis of abnormal biliary ducts with the focus on biliary stones was determined.RESULTS:Overall mortality and morbidity following cholecystectomy in the study population were 0.6% and 2.6%,respectively.Both early mortality and morbidity due to cholecystectomy were higher in male than female.The prevalence of CBD stones in IOC was 3.4% (5.2% in male and 2.8% in female,P=0.008).Among those without gallstones,8.7% had CBD stones and only 3.1% had concomitant gallstones and CBD stones.The main predictors of stone appearance as an abnormal feature of IOC during cholecystectomy were:advanced age (OR=1.022,P=0.001),male gender (OR=1.498,P=0.050),history of abdominal surgery (OR=1.543,P=0.040) and preoperative endoscopic retrograde cholangiopancreatography (OR=5.400,P<0.001).CONCLUSIONS:IOC is a safe and accurate method for the assessment of bile duct anatomy and stones.Therefore,the routine use of IOC within cholecystectomy seems reasonable and is recommended. | Shahram Yousefpour Azary Heshmat Kalbasi Ali Setayesh Mirhadi Mousavi Asad Hashemi Mahsa Khodadoostan Mohammad Reza Zali Amir Houshang Mohammad Alizadeh | 2011 | Hepatobiliary & Pancreatic Diseases International2011，10，3： | 11 |
| 2 | Designing an optimal stope layout for underground mining based on a heuristic algorithm显示文摘An optimal layout or three-dimensional spatial distribution of stopes guarantees the maximum profitability over life span of an underground mining operation.Thus,stope optimization is one of the key areas in underground mine planning practice.However,the computational complexity in developing an optimal stope layout has been a reason for limited availability of the algorithms offering solution to this problem.This article shares a new and efficient heuristic algorithm that considers a three-dimensional ore body model as an input,maximizes the economic value,and satisfies the physical mining and geotechnical constraints for generating an optimal stope layout.An implementation at a copper deposit demonstrates the applicability and robustness of the algorithm.A parallel processing based modification improving the performance of the original algorithm in terms of enormous computational time saving is also presented. | Sandanayake Don Suneth Sameera Topal Erkan Asad Mohammad Waqar Ali | 2015 | International Journal of Mining Science and Technology2015，25，5： | 2 |
| 3 | Dynamic Load Analysis and Optimization of Connecting Rod of Samand Engine显示文摘 | Mohammad Reza Asadi Asad Abad | 2011 | Australian Journal of Basic and Applied Sciences2011，5，12： | 1 |
| 4 | Airtraq? versus Macintosh laryngoscope: A comparative study in tracheal intubation显示文摘 | Geeta Bhandari K Shahi Mohammad Asad Rajani Bhakuni | 2013 | Anesthesia: Essays and Researches2013，，2： | 1 |
| 5 | A mathematical model for open pit mine production scheduling with Grade Engineering and stockpiling显示文摘This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework.Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable(i.e.high-grade)and undesirable(i.e.low-grade or uneconomic)materials and ensure the delivery of only selected quantity of high quality(or high-grade)material to energy,water,and cost-intensive processing plant.The model maximizes the net present value under a range of operational and processing constraints.Given that the proposed model is computationally complex,the authors employ a data preprocessing procedure and then evaluate the performance of the model at several practical instances using computation time,optimality gap,and the net present value as valid measures.In addition,a comparison of the proposed and traditional(without Grade Engineering)models reflects that the proposed model outperforms the traditional formulation. | Karo Fathollahzadeh Elham Mardaneh Mehmet Cigla Mohammad Waqar Ali Asad | 2021 | International Journal of Mining Science and Technology2021，31，4： | 1 |
| 6 | Germline genomes have a dominant-heritable contribution to cancer immune evasion and immunotherapy response显示文摘Background:Immune evasion is a fundamental hallmark for cancer.At the early stages of tumor development,immune evasion strategies must be implemented by tumors to prevent attacks from the host immune systems.Blocking tumors5 immune evasion will re-activate the host immune systems to eliminate tumors.Immune-checkpoint therapy(ICT)which applies anti-PD-l/PD-Ll or anti-CTLA4 treatment has been a remarkable success in the past few years.However,〜70%of patients cannot gain any clinical benefits from ICT treatment due to the tumorimmunity system's complexity・In the past,germline pathogenic variants have been thought to have only minorheritable contributions to cancer.Results:Emerging evidence has shown that germline genomes play a dominant-heritable contribution to cancer via encoding the host immune system.The functional components of the immune system are encoded by the host genome,thus the germline genome might have a profound impact on cancer immune evasion and immunotherapy response.Indeed,recent studies showed that germline pathogenic variants can influence immune capacity in cancer patients at a population level by(i)shaping tumor somatic mutations,altering methylation patterns and antigen-presentation capacity or(ii)influencing NK cell's function to modulate lymphocyte infiltration in the tumor microenvironment.In addition,the HLA(types A,B or C)genotypes also shape the landscape of tumor somatic mutations.Conclusion:These results highlight the indispensable roles of germline genome in immunity and cancer development and suggest that germline genomics should be integrated into the research field of cancer biology and cancer immunotherapy. | Xue Jiang Mohammad Asad Lin Li Zhanpeng Sun Jean-Sebastien Milanese Bo Liao Edwin Wang | 2020 | Quantitative Biology2020，8，3： | 0 |
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