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Seismic Hazard Assessment of District Mansehra,Khyber Pakhtoonkhawa,Pakistan

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Acta Geologica Sinica(English Edition) 2014年第4期88卷 1157-1168页

作者： mona Lisa COMSATS Institute of Information Technology(CIIT) Islamabad PakistanDepartment of Earth SciencesQuaid-i-Azam University

The site of Mansehra is located seismically in an active regime, known as the Crystalline Nappe Zone and Hazara-kashmir Syntaxis in NW Himalayas, Pakistan. Seismic Hazard Assessment （SHA） for the site has been carried out by considering the earthquake source zones, selection of appropriate attenuation equations, near fault effects and maximum potential magnitude estimation. The Mansehra Thrust, Oghi Fault, Banna Thrust, Balakot Shear Zone, Main Boundary Thrust, Panjal Thrust, Jhelum Fault and Muzaffarabad Fault and, further to the south, the Sanghargali, Nathiagali, and Thandiani Thrusts are the most critical tectonic features within the 50 km radius of Mansehra. Using the available instrumental seismological data from 1904 to 2007, SHA has been carried out. Other reactivated critical tectonic features in the area have been investigated. Among them the Balakot-Bagh fault, with the fault length of 120 km from Balakot to Poonch, has been considered as the most critical tectonic feature on the basis of geological/structural/seismological data. The potential earthquake of maximum magnitude 7.8 has been assigned to the Balakot-Bagh fault using four regression relations. The peak ground acceleration value of 0.25 g （10% probability of exceedance for 50 years） and 0.5 g has been calculated with the help of the attenuation equation using probabilistic and deterministic approaches.

关键词： Seismic Hazard Assessment Mansehra District NW Himalayas Pakistan Probabilistic and Deterministic Approaches Balakot-Bagh Fault

High power density technologies for large generators and motors for marine applications with focus on electrical insulation challenges

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High Voltage 2020年第1期5卷 7-14页

作者： mona Ghassemi Department of Electrical and Computer Engineering Virginia Tech1185 Perry Street644 Whittemore HallBlacksburgVA 24061USA

High power density generators and motors are envisaged in modern all-electric ships where electrical power for both propulsion and service loads is provided through a common electrical platform known as an integrated power *** recent high-power density technologies for generators and motors proposed for marine applications are reviewed,and the author focuses on their electrical insulation *** technologies are high-frequency(high-speed)generators(200–400 Hz),superconducting generators,and novel insulation materials and *** high-speed generators,high loss in magnetic materials may shorten its insulation ***,these generators should be designed to be cooled by water instead of *** superconducting generators,the most significant concern is the integrity of the insulation system over the large thermal excursion whenever the system is cycled between room temperature and operating *** novel insulation materials and systems section:(i)using mica paper tapes containing boron nitride filler in the binding resin of the glass backing insulation,developed by Toshiba and Von Roll,resulted in a 15%increase in the MVA of generators for the same slot dimensions and operating temperatures,(ii)GE developed an enhanced polyethylene glycol terephthalate-mica tape having superior voltageendurance characteristics,(iii)Isovolta has introduced a mica paper tape using a flat glass fibre backing material,called Powerfab,rather than the more common woven structure,leading to a 15%reduced mica tape,and(iv)adding novel nanocomposites as fillers to ground wall insulation,introduced by Siemens,is a promising technique towards more high power density ***,accelerated aging of insulation systems especially those in electrical rotating machines exposed to voltage pluses with high slew rates up to hundreds of kV/μs and high-repetition rates ranging from hundreds of kHz to MHz is *** voltage pulses are generated by wide bandga

关键词： power insulation electrical

PD measurements,failure analysis,and control in high-power IGBT modules

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High Voltage 2018年第3期3卷 170-178页

作者： mona Ghassemi Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University(Virginia Tech)BlacksburgVA 24061USA

Increased voltage blocking capability and the development of packaging technology for IGBTs can enhance the local electric field that may become large enough to increase partial discharges(PDs)within the *** study presents a survey on(i)simulation the electric field within an IGBT module;(ii)current standards for evaluation of the insulation systems of IGBTs;(iii)PD detection and localisation methods as well as other diagnostic and quality control test methods about IGBTs;and(iv)various methods for PD control in an IGBT *** survey shows remarkable technical gaps in all four *** sophisticated numerical and theoretical techniques are needed to model complicated geometries,*** sharp edges of the copper metallisation and protrusions in the substrate,and composite non-linear field grading *** is no model to take into account defects in the gel and on the ceramic *** 61287-1 cannot sufficiently assess the behaviour of PDs on IGBT module under the actual operating conditions exposing fast rise pulse-width modulation-like *** is no agreement on the exact origin and location of PDs in the module with relying on measured phase-resolved PD *** control methods using non-linear grading materials are not mature enough.

关键词： enough insulation ceramic

Revolutionizing diabetic retinopathy screening and management:The role of artificial intelligence and machine learning

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World Journal of Clinical Cases 2025年第5期13卷 1-12页

作者： mona Mohamed Ibrahim Abdalla Jaiprakash Mohanraj Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and *** editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR *** and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early *** technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed ***,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment *** automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient *** review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of *** integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.

关键词： Diabetic retinopathy Artificial intelligence Machine learning Screening Management Predictive analytics Personalized medicine

A New Evaluation Criterion for Optimizing the Mechanical Properties of Toughened Polypropylene/Silica Nanocomposites

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Chinese Journal of Polymer Science 2020年第8期38卷 877-887,I0008页

作者： Hossein Pourrahmani mona Golparvar Mohammad Fasihi Group of Energy Materials (E)cole Polytechnique Fédérale de LausanneSion 1951Switzerland School of Chemical Petroleum and Gas EngineeringIran University of Science and TechnologyTehran 16846-13114Iran School of Mechanical Engineering Braunschweig university of technologyBraunschweig 38106Germany

This study aims to experiment with the mechanical properties of polypropylene(PP)/thermoplastic elastomer/nano-silica/compatibilizer nanocomposite using the melt mixing *** addition of polyolefin elastomers has proved to be an approachable solution for low impact strength of PP,while it would also reduce the Young's modulus and tensile *** is why reinforcement would be applied to this combination to enhance the elastic *** mechanical properties of the prepared composites were devised to train an artificial neural network to predict these properties of the system in 6256 unknown ***,the sensitivity analysis was performed and the share of each input parameter on the respective output values was ***,a novel parameter called nanocomposite evaluation criterion(NEC)is introduced to analyze the suitability of the nanocomposites considering the mechanical ***,the formulation with optimal mechanical properties of toughness,elongation at break,tensile strength,Young's modulus,and impact strength was obtained.

关键词： Nanocomposite Polypropylene(PP) Silica Artificial neural networks Nanocomposite evaluation criterion(NEC) Sensitivity analysis

Nano-tube TiO_2 as a new catalyst for eco-friendly synthesis of imines in sunlight

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Chinese Chemical Letters 2011年第5期22卷 547-550页

作者： mona Hosseini-Sarvari Department of Chemistry Shiraz UniversityShiraz 71454Iran

Nanomaterials are considered as suitable heterogeneous catalysts for many organic *** nano-tube TiO_2 has been reported as a heterogeneous catalyst,for synthesis of imines in sunlight at room temperature under solvent-free *** condensation of less electrophilic carbonyl compounds with poorly nucleophilic amines was afforded imines in excellent yields.

关键词： Nano-tubes TiO_2 Imines Solvent-free Sunlight

Entropy of Quantum Dynamical Systems and Sufficient Families in Orthomodular Lattices with Bayessian State

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Communications in Theoretical Physics 2008年第9期50卷 551-556页

作者： mona Khare Shraddha Roy Department of Mathematics University of AllahabadAllahabad211 001India Allahabad Mathematical Society 10C.S.P.Singh MargAllahabad211 001India

The purpose of the present paper is to study the entropy hs（Ф） of a quantum dynamical systems Ф = （ L, s, Ф）, where s is a bayessian state on an orthomodular lattice L. Having introduced the notion of entropy hs（ Ф, A） of partition A of a Boolean algebra B with respect to a state s and a state preserving homomorphism Ф, we prove a few results on that, define the entropy of a dynamical system hs（Ф）, and show its invariance. The concept of sufficient families is also given and we establish that hs （Ф） comes out to be equal to the supremum of hs （Ф,A）, where A varies over any sufficient family. The present theory has then been extended to the quantum dynamical system （ L, s, Ф）, which as an effect of the theory of commutators and Bell inequalities can equivalently be replaced by the dynamical system （B, s0, Ф）, where B is a Boolean algebra and so is a state on B.

关键词： orthomodular lattices quantum logic valuation isomorphism partitions entropy quantum dynamical systems sufficient families

A Deep Learning for Alzheimer’s Stages Detection Using Brain Images

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Computers, Materials & Continua 2023年第1期74卷 1457-1473页

作者： Zahid Ullah mona Jamjoom Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

Alzheimer’s disease(AD)is a chronic and common form of dementia that mainly affects elderly *** disease is dangerous because it causes damage to brain cells and tissues before the symptoms appear,and there is nomedicinal or surgical treatment available yet *** loss of memory and functionality control in multiple degrees according to AD’s progression ***,early diagnosis of AD can hinder its *** imaging tools such as magnetic resonance imaging(MRI),computed tomography(CT)scans,positron emission tomography(PET),*** help in medical diagnosis of ***,computer-aided diagnosis(CAD)such as deep learning applied to brain images obtained with these tools,has been an established strategic methodology that is widely used for clinical assistance in prognosis of *** this study,we proposed an intelligent methodology for building a convolutional neural network(CNN)from scratch to detect AD stages from the brain MRI images dataset and to improve patient *** is worth mentioning that training a deep-learning model requires a large amount of data to produce accurate results and prevent the model from overfitting ***,for better understanding of classifiers and to overcome the model overfitting problem,we applied data augmentation to the minority classes in order to increase the number of MRI images in the *** experiments were conducted using Alzheimer’s MRI dataset consisting of brain MRI scanned *** performance of the proposed model determines detection of the four stages of *** results show high performance of the proposed model in that the model achieved a 99.38%accuracy rate,which is the highest so ***,the proposed model performance in terms of accuracy,precision,sensitivity,specificity,and f-measures is promising when compared to the very recent state-of-the-art domain-specific models existing in the literature.

关键词： Dementia MRI images CNN model detection data augmentation decision support system

Gas–liquid flow mass transfer in a T-shape microreactor stimulated with 1.7 MHz ultrasound waves

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Chinese Journal of Chemical Engineering 2017年第9期25卷 1143-1152页

作者： mona Akbari Masoud Rahimi Mahboubeh Faryadi CFD Research Center Chemical Engineering Department Razi University

This paper describes the application of ultrasound waves on hydrodynamics and mass transfer characteristics in the gas–liquid flow in a T-shape microreactor with a diameter of 800 μm. A 1.7 MHz piezoelectric transducer(PZT) was employed to induce the vibration in this microreactor. Liquid side volumetric mass transfer coefficients were measured by physical and chemical methods of CO_2 absorption into water and Na OH solution. The approach of absorption of CO_2 into a 1 mol·L^(-1) Na OH solution was used for analysis of interfacial areas. With the help of a photography system, the fluid flow patterns inside the microreactor were analyzed. The effects of superficial liquid velocity, initial concentration of Na OH, superficial CO_2 gas velocity and length of microreactor on the mass transfer rate were investigated. The comparison between sonicated and plain microreactors(microreactor with and without ultrasound) shows that the ultrasound wave irradiation has a significant effect on kLa and interfacial area at various operational conditions. For the microreactor length of 12 cm, ultrasound waves improved kLa and interfacial area about 21% and 22%, respectively. From this study, it can be concluded that ultrasound wave irradiation in microreactor has a great effect on the mass transfer rate. This study suggests a new enhancement technique to establish high interfacial area and kLa in microreactors.

关键词： Ultrasound waves Microreactor Gas–liquid flow Mass transfer Absorption