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Multi-Scale Attention-Based Deep Neural Network for Brain Disease Diagnosis

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Computers, Materials & Continua 2022年第9期72卷 4645-4661页

作者： Yin Liang Gaoxu Xu Sadaqat ur rehman Faculty of Information Technology College of Computer Science and TechnologyBeijing Artificial Intelligence InstituteBeijing University of TechnologyBeijing100124China Department of Natural and Computing Science University of AberdeenAberdeenU.K

Whole brain functional connectivity(FC)patterns obtained from resting-state functional magnetic resonance imaging(rs-fMRI)have been widely used in the diagnosis of brain disorders such as autism spectrum disorder(ASD).Recently,an increasing number of studies have focused on employing deep learning techniques to analyze FC patterns for brain disease ***,the high dimensionality of the FC features and the interpretation of deep learning results are issues that need to be addressed in the FC-based brain disease *** this paper,we proposed a multi-scale attention-based deep neural network(MSA-DNN)model to classify FC patterns for the ASD *** model was implemented by adding a flexible multi-scale attention(MSA)module to the auto-encoder based backbone DNN,which can extract multi-scale features of the FC patterns and change the level of attention for different FCs by continuous *** model will reinforce the weights of important FC features while suppress the unimportant FCs to ensure the sparsity of the model weights and enhance the model *** performed systematic experiments on the large multi-sites ASD dataset with both ten-fold and leaveone-site-out *** showed that our model outperformed classical methods in brain disease classification and revealed robust intersite prediction *** also localized important FC features and brain regions associated with ASD ***,our study further promotes the biomarker detection and computer-aided classification for ASD diagnosis,and the proposed MSA module is flexible and easy to implement in other classification networks.

关键词： Autism spectrum disorder diagnosis resting-state fMRI deep neural network functional connectivity multi-scale attention module

A trust framework based smart aggregation for machine type communication

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Science China(Information Sciences) 2017年第10期60卷 78-92页

作者： Tabinda SALAM Waheed ur rehman Xiaofeng TAO Yu CHEN Ping ZHANG National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunication Department of Computer Science University of Peshawar

Machine type communication(MTC) is one of the significant communication paradigms in the fifth generation networks. The existing cellular networks are not designed for massive access of the MTC ***, data aggregation and relaying are advocated to reduce the massive MTC access besides other physical layer solutions. In this paper, we propose a secured multiple mobile relay selection algorithm that smartly aggregates data from adjacent MTC devices through multiple user equipments and transmits it to the base station(BS). The paper also presents a framework for the selection of trusted relays to cooperatively aggregate MTC data and render two-hop connectivity to the BS. Our proposed algorithm is compared with existing algorithms on the basis of energy efficiency, system capacity, communication delay and outage probability. Our proposed algorithm outperforms the other schemes by improving outage probability and communication delay by 33% and 25%, respectively.

关键词： D2D communication data aggregation machine type communication(MTC) mobile relay MTC offloading

DFT studies of thermoelectric properties of R-Au intermetallics at 300 K

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Journal of Rare Earths 2018年第2期36卷 197-202页

作者： Sardar Ahmad Rashid Ahmad Muhammad Bilal Najeeb Ur rehman Center for Computational Materials Science University of Malakand Department of Chemistry University of Malakand Department of Physics University of Malakand

Thermoelectric and electronic properties of cubic bi-intermetallics R-Au（R = Tb, Ho. Er. Tm and Yb）compounds were explored. Electronic properties i.e. density of states and band structure were computed using first principles calculations which proved the metallic nature of these compounds. Post-DFT（BoltzTraP） calculations were carried out to explore their thermoelectric properties like electrical conductivities. Seebeck coefficient, electronic thermal conductivities and figure of merit. The highest Seebeck coefficient and figure of merit were found for YbAu among these compounds which are 105 μV/K and 0.285 respectively. All the calculations were carried out at 300 K. Large values of figure of merit obtained for these compounds at room temperature indicate that these materials can be used for thermoelectric devices however need experimental verification.

关键词： DFT Seebeck coefficient Figure of merit Thermal conductivity Electrical conductivity R-Au

Analysis on Local and Concurrent Commutation Failure of Multi-infeed HVDC Considering Inter-converter Interaction

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 1050-1059页

作者： Bilawal rehman Chongru Liu Huan Li Chuang Fu Wei Wei State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Department of Electrical Engineering Technology National Skills University IslamabadIslamabad45710Pakistan State Key Laboratory of HVDC Electric Power Research InstituteChina Southern Power GridGuangzhou 510663China

This paper provides a comprehensive analysis of local and concurrent commutation failure(CF)of multi-infeed high-voltage direct current(HVDC)system considering multi-infeed interaction factor(MIIF).The literature indicates that the local CF is not influenced by MIIF,whereas this paper concludes that both the local CF and concurrent CF are influenced by *** ability of remote converter to work under reduced reactive power enables its feature to support local converter via inter-connection *** MIIF measures the strength of electrical connectivity between *** MIIF gives a clearer path to remote converter to support local converter,but at the same time,it provides an easy path to local converter to disturb remote converter under local *** presence of nearby converter increases the local commutation failure immunity index(CFII)while reducing concurrent *** MIIF causes reactive power support to flow from remote converter to local converter,which reduces the chances of CF.A mathematical approximation to calculate the increase in local CFII for multi-infeed HVDC configurations is also proposed.A power flow approach is used to model the relation between MIIF and reactive power support from remote *** local and concurrent CFIIs are found to be inverse to each other over MIIF;therefore,it is recommended that there is an optimal value of MIIF for all converters in close electric proximity to maintain CFII at a certain *** numerical results of established model are compared with PSCAD/EMTDC *** simulation results show the details of the influence of MIIF on local CF and concurrent CF of multi-infeed HVDC,which validates the analysis presented.

关键词： Commutation failure(CF) multi-infeed highvoltage direct current(HVDC)system multi-infeed interaction factor commutation failure immunity index(CFII)

Conjugated microporous polymer membranes for chemical separations

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Chinese Journal of Chemical Engineering 2022年第5期35卷 1-14页

作者： Zongyao Zhou Zhen Li Lubna M.rehman Zhiping Lai Division of Physical Science and Engineering King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia

Conjugated microporous polymers(CMPs) are a unique class of porous organic materials, which are constructed with π-conjugation structures leading to intrinsic micropores. The CMPs properties such as high surface area, intrinsic and rich micropores, interlocking and rigid structure, extensive π-conjugation and tunable band-gap, chemical and thermal stability, together with tailored functionalities, contribute to its abundant potential for application in fields such as photocatalysis, optoelectronics, energy storage, and chemical sensors. Recently, CMPs have gained importance in the field of membranes for chemical separation. In this review, we briefly discuss the historical development of CMPs, followed by a detailed description of the progress in state-of-the-art design, preparation, and application of CMPs in membranes. Additionally, we provide inference on the future prospects of CMPs as membranes.

关键词： Conjugated microporous polymer Membrane Separation Electropolymerization Film

Exploiting Data Science for Measuring the Performance of Technology Stocks

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Computers, Materials & Continua 2023年第9期76卷 2979-2995页

作者： Tahir Sher Abdul rehman Dongsun Kim Imran Ihsan Department of Creative Technologies Air UniversityIslamabad44230Pakistan School of Computer Science and Engineering Kyungpook National UniversityDaegu41566Korea

The rise or fall of the stock markets directly affects investors’interest and ***,it is necessary to measure the performance of stocks in the market in advance to prevent our assets from suffering significant *** our proposed study,six supervised machine learning(ML)strategies and deep learning(DL)models with long short-term memory(LSTM)of data science was deployed for thorough analysis and measurement of the performance of the technology *** discussion are Apple Inc.(AAPL),Microsoft Corporation(MSFT),Broadcom Inc.,Taiwan Semiconductor Manufacturing Company Limited(TSM),NVIDIA Corporation(NVDA),and Avigilon Corporation(AVGO).The datasets were taken from the Yahoo Finance API from 06-05-2005 to 06-05-2022(seventeen years)with 4280 *** already noted,multiple studies have been performed to resolve this problem using linear regression,support vectormachines,deep long short-termmemory(LSTM),and many other *** this research,the Hidden Markov Model(HMM)outperformed other employed machine learning ensembles,tree-based models,the ARIMA(Auto Regressive IntegratedMoving Average)model,and long short-term memory with a robust mean accuracy score of *** statistical analyses and measurements for machine learning ensemble algorithms,the Long Short-TermModel,and ARIMA were also carried out for further investigation of the performance of advanced models for forecasting time series ***,the proposed research found the best model to be HMM,and LSTM was the second-best model that performed well in all aspects.A developedmodel will be highly recommended and helpful for early measurement of technology stock performance for investment or withdrawal based on the future stock rise or fall for creating smart environments.

关键词： Machine learning data science smart environments stocks movement deep learning stock marketing

Impact of coronavirus disease 2019 on prevention and elimination strategies for hepatitis B and hepatitis C

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World Journal of Hepatology 2021年第7期13卷 781-789页

作者： Syed Tabish rehman Hareem rehman Shahab Abid Department of Medicine The Aga Khan UniversityKarachi 74800Pakistan

The coronavirus disease 2019(COVID-19)pandemic has resulted in significant morbidity and mortality since its first case was discovered in December *** then,multiple countries have witnessed a healthcare system collapse due to the overwhelming demand for COVID-19 *** measures have been taken globally in order to curb the spread of the ***,those measures have led to the disruption of other aspects of healthcare,increasing the burden due to other medical *** have also stepped back in achieving the ambitious goal set in place by World Health Organization to eliminate viral hepatitis as a public threat by *** B and C are chronic conditions with a significant worldwide burden,and COVID-19 has resulted in many hepatitis elimination programs slowing or stopping *** this review,we elucidate the impact of the ongoing COVID-19 pandemic on the interventions targeted towards the elimination of hepatitis B virus and hepatitis C *** of the salient features that we have covered in this review include hindrance to screening and diagnostic tests,neonatal vaccinations,the transmission dynamics affecting hepatitis B virus and hepatitis C virus,role of limited awareness,restrictions to treatment accessibility,and disparity in healthcare *** have highlighted the major issues and provided recommendations in order to tackle those challenges.

关键词： COVID-19 Chronic hepatitis Review literature Vaccine World Health Organization Pandemics

Facile synthesis of samarium and cerium doped double perovskite cobaltite with enhanced dielectric response

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Journal of Rare Earths 2024年第7期42卷 1317-1327,I0005页

作者： Yasir Abbas M.Kamran M.Anis-ur-rehman Applied Thermal Physics Laboratory Department of PhysicsCOMSATS University IslamabadIslamabad 45550Pakistan

The investigation of Sm-Ce doping on structure,conduction,and dielectric response of Bi_(2)Ca_(2-2x)Sm_(x)CexCoO_(6)(x=0.000,0.025,0.050,0.075)(BCSCCO)are *** the specimens were synthesized by a facile synthesis technique named the co-precipitation route.X-ray diffraction(XRD)reveals that BCSCCO crystallizes into one phase with space group P21/*** crystallite size,dislocation density,lattice parameters,lattice strain,unit cell volume,and bulk density were determined using XRD *** structural properties of Bi_(2)Ca_(2)CoO_(6)were examined using calculations based on the density functional *** and experimental values discrepancy is less than 1%.A scanning electron microscope was used for performing a microstructural *** SEM images demonstrate the homogeneous distribution of grains with a range of sizes(0.054-0.090μm).The alternating current(ac)conductivity,dielectric permittivity,and tangent loss were also studied as a function of frequency(20 Hz-3 MHz)at different temperatures(100-500℃).All synthesized samples were examined using non-linear Debye's function to determine their spreading factor and relaxation *** specimen with the lowest crystallite size(∼23 nm)exhibits a high dielectric permittivity(∼3.80×10^(6)).The conduction mechanism was examined in the studied samples with the use of Jonscher's power *** power law indicates that the BCSCCO(x=0.000,0.025)follows correlated barrier hopping,whereas the x=0.050 and 0.075 compositions follow non-overlapping polaron *** studied specimen Bi_(2)Ca_(1.9)0Sm_(0.05)0Ce_(0.05)_(0)CoO_(6)with the highest density(∼5.65 g/cm^(3))displays a high electrical conductivity(∼46.1 S/cm).These findings correspond to those published for ceramics made from calcium cobaltite using solid-state reactions(5.0-26.0 S/cm).

关键词： Bismuth calcium samarium cerium cobaltite (BCSCCO) Spreading factor Conduction mechanism Rare earths

Effects of homoeopathic ultrahigh dilutions of Aconitum napellus on Baker＇s yeast-induced fever in rabbits

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Journal of Integrative Medicine 2017年第3期15卷 209-213页

作者： Saeed Ahmad Tayyeba rehman Waheed Mumtaz Abbasi Department of Pharmacy Faculty of Pharmacy and Altemative Medicine The Islamia University of Bahawalpur Bahawalpur 63100 Pakistan University College 'of Conventional Medicine Faculty of Pharmacy and Alternative Medicine The Islamia University of Bahawalpur Bahawalpur 63100 Pakistan

OBJECTIVE： To evaluate the effects of homoeopathic ultrahigh dilutions of Aconitum napellus in Baker＇s yeast-induced fever in rabbits. METHODS： Rabbits were divided into 4 groups and each group contained 6 rabbits. Baker＇s yeast suspension （20%） was injected subcutaneously. After fever induction, paracetamol and homoeopathic ultrahigh dilutions （A. nape//us 200c and 1 000c） were given orally. Rectal temperature was measured with digital thermometer hourly. RESULTS： Fever was induced in all the rabbits after 4 hours of Baker＇s yeast administration. A. nape//us 200c and 1000c significantly reduced the temperature （P 〈 0.05）. In positive control, temperature decrease was more significant （P 〈 0.001 ）. CONCLUSION： The above findings indicate the effectiveness of ultrahigh dilutions ofA. nape//us in Baker＇s yeast-induced fever in rabbits. However, the effects were slower and less significant than standard medicine Moreover, future research is required to know their mechanism of reducing temperature.

关键词： Aconitum napellus antipyretic homeopathy ultrahigh dilutions