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Midventricular Takotsubo syndrome

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Journal of Geriatric Cardiology 2020年第5期17卷 303-304页

作者： Konstantinos C Theodoropoulos Ioannis Felekos Chris Abell Nicholas D Palmer turab ali Department of Cardiology Liverpool Heart and Chest Hospital NHS Foundation TrustLiverpoolUK

A 78-year-old woman with a background of type 2 diabetes mellitus,hyperlipidaemia and hypertension experienced sudden onset severe chest pain while in the emergency department,after a stressful emotional *** pain last... 详细信息

关键词： Left ventriculography Midventricular Takotsubo syndrome

Current Progress of Phytomedicine in Glioblastoma Therapy

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Current Medical Science 2020年第6期40卷 1067-1074页

作者： Fahad Hassan Shah Saad Salman Jawaria Idrees Fariha Idrees Syed turab ali Shah Abid ali Khan Bashir Ahmad Centre of Biotechnology and Microbiology University of PeshawarPeshawar 25120Pakistan Department of Pharmacy The University of LahoreIslamabad CampusIslamabad 45800Pakistan Islamia College University Peshawar Peshawar 25000Pakistan

Glioblastoma multiforme,an intrusive brain cancer,has the lowest survival rate of all brain *** chemotherapy utilized to prevent their proliferation and propagation is limited due to modulation of complex cancer signalling *** complex pathways provide infiltrative and drug evading properties leading to the development of chemotherapy ***,the development and discovery of such interventions or therapies that can bypass all these resistive barriers to ameliorate glioma prognosis and survival is of profound *** plants are comprised of an exorbitant range of phytochemicals that have the broad-spectrum capability to target intrusive brain cancers,modulate anti-cancer pathways and immunological responses to facilitate their eradication,and induce *** phytocompounds also interfere with several oncogenic proteins that promote cancer invasiveness and metastasis,chemotherapy resistance and *** plants are extremely vital for promising anti-glioma therapy to avert glioma proliferation and *** this review,we acquired recent literature on medicinal plants whose extracts/bioactive ingredients are newly exploited in glioma therapeutics,and also highlighted their mode of action and pharmacological profile.

关键词： phytomedicine phytochemicals glioblastoma chemotherapy resistance bioactive

Atypical variants of takotsubo cardiomyopathy: mechanistic and clinical implications

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Journal of Geriatric Cardiology 2020年第7期17卷 447-448页

作者： Kenan Yalta Ertan Yetkın Gokay Taylan Trakya University Cardiology DepartmentEdirneTurkey Istinye University Liv HospitalCardiology DepartmentIstanbulTurkey

Over past decades,takotsubo cardiomyopathy(TTC)has drawn a substantial interest as a unique form of acute and reversible cardiomyopathy that usually emerges in response to adrenergic hyperactivation associated with a variety of emotional and physical triggers.[1,2]Even though,this phenomenon is generally characterized by an apical balloning pattern(classical variant),it might occasionally present with atypical morphological variants including mid-ventricular,inverted and focal forms of myocardial involvement.

关键词： Atypical variants Clinical implications Mechanistic implications Takotsubo cardiomyopathy

Determinants of Health Care Seeking Behaviors in Puerperal Sepsis in Rural Sindh, Pakistan: A Qualitative Study

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Open Journal of Preventive Medicine 2020年第9期10卷 255-266页

作者： Shabina Ariff Fatima Mir Farhana Tabassum Farrukh Raza Atif Habib ali turab Amnesty LeFevre Linda A. Bartlett Sajid Bashir Soofi Zulfiqar A. Bhutta Department of Paediatric and Child Health Aga Khan University Karachi Pakistan Center of Excellence in Women & Child Health Aga Khan University Karachi Pakistan Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore MD USA

Background: Puerperal sepsis (PS) is one of the major causes of maternal death, contributing to 26,000 deaths per year in developing countries. Early recognition and treatment are essential to managing PS, but numerous social, cultural and technical barriers prevent or delay access to care and necessary medical attention. Through this qualitative study, we identified barriers to care seeking for puerperal sepsis among recently delivered women in Matiari, Pakistan. Methods: We conducted 20 in-depth interviews among recently delivered women with and without sepsis and their family members in September 2012. Key informant interviews were conducted with 14 healthcare providers and traditional birth attendants. The themes used for content analysis were knowledge of danger signs, factors affecting care seeking and local treatment practices for postpartum sepsis. Results: A total of 34 interviews were conducted. Recently delivered women, their family members and traditional birth attendants were unaware of the word PS or the local translated term for PS. However, they were familiar with most of the individual symptoms associated with PS. Healthcare providers were aware of the condition and the associated symptoms. The healthcare providers’ understanding of the seriousness of PS was directly proportional their age and clinical experience. The most common barriers to care seeking was the division of labor within the household, obtaining permission from the primary decision maker, access to transportation, lack of financial resources and support from family members. Conclusion: To improve maternal care seeking behaviors for PS, interventions focusing on increasing knowledge of PS, addressing gender inequality, implementing an affordable community transport service and enhancing TBA’s knowledge and skills to manage PS need to be implemented.

关键词： Puerperal Sepsis Qualitative Care Seeking Barrier Maternal Health

Efficient sampling for decision making in materials discovery

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Chinese Physics B 2021年第5期30卷 1-11页

作者： Yuan Tian turab Lookman Dezhen Xue State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong UniversityXi'an 710049China Los Alamos National Laboratory Los AlamosNM 87545USA

Accelerating materials discovery crucially relies on strategies that efficiently sample the search space to label a pool of unlabeled *** is important if the available labeled data sets are relatively small compared to the unlabeled data *** learning with efficient sampling methods provides the means to guide the decision making to minimize the number of experiments or iterations required to find targeted *** review here different sampling strategies and show how they are utilized within an active learning loop in materials science.

关键词： sampling methods active learning decision making material design Bayesian optimization

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

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npj Computational Materials 2019年第1期5卷 966-982页

作者： turab Lookman Prasanna V.Balachandran Dezhen Xue Ruihao Yuan Theoretical Division Los Alamos National LaboratoryLos AlamosNM 87545USA Department of Materials Science and Engineering University of VirginiaCharlottesvilleVA 22902USA State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong University710049 Xi’anChina

One of the main challenges in materials discovery is efficiently exploring the vast search space for targeted properties as approaches that rely on trial-and-error are *** review how methods from the information sciences enable us to accelerate the search and discovery of new *** particular,active learning allows us to effectively navigate the search space iteratively to identify promising candidates for guiding experiments and *** approach relies on the use of uncertainties and making predictions from a surrogate model together with a utility function that prioritizes the decision making process on unexplored *** discuss several utility functions and demonstrate their use in materials science applications,impacting both experimental and computational *** summarize by indicating generalizations to multiple properties and multifidelity data,and identify challenges,future directions and opportunities in the emerging field of materials informatics.

关键词： materials. Active directions

Theγ/γ′microstructure in CoNiAlCr-based superalloys using triple-objective optimization

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npj Computational Materials 2023年第1期9卷 894-904页

作者： Pei Liu Haiyou Huang Cheng Wen turab Lookman Yanjing Su Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing100083 BeijingChina Corrosion and Protection Center Institute for Advanced Materials and TechnologyUniversity of Science and Technology Beijing100083 BeijingChina Beijing GAONA Materials&Technology Co. Ltd.100081 BeijingChina Beijing Key Laboratory of Advanced High Temperature Materials Central Iron&Steel Research Institute100081 BeijingChina College of Mechanical Engineering Guangdong Ocean University524000 ZhanjiangChina AiMaterials Research LLC Santa FeNM 87501USA

Optimizing several properties simultaneously based on small data-driven machine learning in complex black-box scenarios can present difficulties and *** we employ a triple-objective optimization algorithm deduced from probability density functions of multivariate Gaussian distributions to optimize theγ′volume fraction,size,and morphology in CoNiAlCr-based *** effectiveness of the algorithm is demonstrated by synthesizing alloys with desiredγ/γ′microstructure and optimizingγ′microstructural *** addition,the method leads to incorporating refractory elements to improveγ/γ′microstructure in *** four iterations of experiments guided by the algorithm,we synthesize sixteen alloys of relatively high creep strength from~120,000 candidates of which three possess highγ′volume fraction(>54%),smallγ′size(77%).

关键词： microstructure γ′ alloys

Extensive Study of Cloud Computing Technologies, Threats and Solutions Prospective

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Computer Systems Science & Engineering 2022年第4期41卷 225-240页

作者： Mwaffaq Abu-Alhaija Nidal M.turab AbdelRahman Hamza Department of Networks and Information Security Faculty of Information TechnologyAl-Ahliyya Amman UniversityAmman19328Jordan Department of Computer Science Information TechnologyAl-Ahliyya Amman UniversityAmman19328Jordan

Infrastructure as a Service(IaaS)provides logical separation between data,network,applications and machines from the physical constrains of real *** is one of the basis of cloud ***,security issues are also gradually emerging with virtualization of cloud *** security aspects of cloud virtualization will be explored in this research paper,security recognizing potential threats or attacks that exploit these vulnerabilities,and what security measures are used to alleviate such *** addition,a dis-cussion of general security requirements and the existing security schemes is also *** shown in this paper,different components of virtualization environ-ment are targets to various attacks that in turn leads to security issues compromis-ing the whole cloud *** this paper an overview of various cloud security aspects is also *** attack scenarios of virtualization envir-onments and security solutions to cater these attacks have been discussed in the *** then proceed to discuss API security concerns,data security,hijacking of user account and other security *** aforementioned discussions can be used in the future to propose assessment criteria,which could be useful in ana-lyzing the efﬁciency of security solutions of virtualization environment in the face of various virtual environment attacks.

关键词： Cloud computing environment paravirtualization full virtualization cloud virtualization security hypervisor virtual machines

Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning

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npj Computational Materials 2018年第1期4卷 254-261页

作者： Hongxiang Zong Ghanshyam Pilania Xiangdong Ding Graeme J.Ackland turab Lookman State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China Theoretical Division&Materials Science and Technology Division Los Alamos National LaboratoryLos AlamosNM 87545USA Centre for Science at Extreme Conditions(CSEC) School of Physics and AstronomyUniversity of EdinburghEdinburgh EH93FDUK

Atomic simulations provide an effective means to understand the underlying physics of structural phase ***,this remains a challenge for certain allotropic metals due to the failure of classical interatomic potentials to represent the multitude of *** on machine-learning(ML)techniques,we develop a hybrid method in which interatomic potentials describing martensitic transformations can be learned with a high degree of fidelity from ab initio molecular dynamics simulations(AIMD).Using zirconium as a model system,for which an adequate semiempirical potential describing the phase transformation process is lacking,we demonstrate the feasibility and effectiveness of our ***,the ML-AIMD interatomic potential correctly captures the energetics and structural transformation properties of zirconium as compared to experimental and density-functional data for phonons,elastic constants,as well as stacking fault *** dynamics simulations successfully reproduce the transformation mechanisms and reasonably map out the pressure–temperature phase diagram of zirconium.

关键词： martensitic transformation zirconium