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Angiotensin converting enzyme inhibitor associated spontaneous herniation of liver mimicking a pleural mass:A case report

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World Journal of Hepatology 2022年第4期14卷 854-859页

作者： Sameer Saleem Tebha zain Ali Zaidi Sehrish Sethar muhammad Asif Abbas Virk muhammad Nadeem yousaf Department of Neurosurgery and Neurology Jinnah Medical and Dental CollegeKarachi 75600SindhPakistan Department of Medicine Jinnah Medical and Dental CollegeKarachi 75600SindhPakistan Department of Radiology Jinnah Medical and Dental CollegeKarachi 75600SindhPakistan Department of Medicine Division of GastroenterologyWell Span York HospitalYorkPA 17403United States Department of Medicine Division of Gastroenterology and HepatologyUniversity of MissouriColumbiaMO 65212United States

BACKGROUND Spontaneous diaphragmatic herniation of the liver is a rare *** may mimic pulmonary mass especially in the absence of *** is a common side effect of angiotensin converting enzyme(ACE)inhibitors that may cause diaphragmatic rupture due to a sudden increase in trans-diaphragmatic *** present a case of ACE-inhibitor associated spontaneous herniation of the liver mimicking pleural *** SUMMARY An 80-year-old woman presented with dry cough for 1 mo and sudden onset of cramping abdominal pain for 1 *** denied history of trauma,prior surgeries,smoking,alcohol or illicit drug *** has a history of diabetes and was started on an ACE inhibitor 6 mo ago for the management of *** was remarkable for right upper quadrant *** work-up was *** X-ray showed a right lower lung opacity suspecting right pleural *** computed tomography scan ruled out pleural mass,however,revealed herniated right lobe of the liver(3.9 cm×3.6 cm×3.4 cm)into the thoracic cavity through the posterolateral diaphragmatic *** repair of the diaphragmatic defect was performed and the ACE inhibitor was ***’symptoms had completely resolved on *** ACE inhibitor-associated cough may cause diaphragmatic liver herniation mimicking pleural *** diagnosis,surgical repair and addressing the triggering factors improve patients’outcomes.

关键词： Diaphragmatic hernia Liver herniation ACE-inhibitors Cough Non-traumatic diaphragmatic hernia Case report

Reconfigurable intelligent surface-aided wireless communications: An overview

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Intelligent and Converged Networks 2022年第1期3卷 33-63页

作者： muhammad zain Siddiqi Talha Mir Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Department of Electronic Engineering Faculty of ICTBUITEMSQuetta 87300Pakistan

The reconfigurable intelligent surface(RIS)is an emerging technology,which will hopefully bring a new revolution in wireless *** RIS technology can be deployed in an indoor/outdoor environment to dynamically manipulate the propagation *** RIS consists of a large number of independently controllable passive elements,and these elements are involved in realizing high passive beamforming *** from the conventional active phased antenna array,there is no dedicated radio-frequency(RF)chain installed at the RIS to perform complex signal processing ***,it does not incur additional noise while retransmitting the incident wave,which is substantially a unique feature from the conventional wireless communication *** advantage of its working principle,RIS has been deployed in various practical *** this tutorial,at first we will review the latest advances in RIS,including the application scenarios such as the system and channel model,the information theoretic analysis,the physical realization and design,key signal processing techniques such as precoding and channel estimation,and ***,we discuss interesting future research problems for the RIS-aided communications.

关键词： reconfigurable intelligent surface(RIS) wireless communications new paradigm

Multi-omics insights into neuronal regeneration and re-innervation

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Neural Regeneration Research 2021年第2期16卷 296-297页

作者： muhammad zain Chauhan Sanjoy K.Bhattacharya University of Arkansas for Medical Sciences(UAMS) Little RockARUSA(Chauhan MZ)Miami Integrative Metabolomics Research CenterBascom Palmer Eye Institute Program In Biomedical Sciences and Neuroscience Graduate Program University of MiamiMiamiFLUSA

The regeneration of peripheral nervous system and central nervous system(CNS)neurons after injury remains *** have come a long way since the identification of a 37 k Da protein specific for regenerating peripheral ner... 详细信息

关键词： al. nerves insight

Neural Machine Translation Models with Attention-Based Dropout Layer

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Computers, Materials & Continua 2023年第5期75卷 2981-3009页

作者： Huma Israr Safdar Abbas Khan muhammad Ali Tahir muhammad Khuram Shahzad Muneer Ahmad Jasni Mohamad zain School of Electrical Engineering and Computer Science(SEECS) National University of Science and TechnologyIslamabadPakistan Institute for Big Data Analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARA40450Shah AlamSelangorMalaysia

In bilingual translation,attention-based Neural Machine Translation(NMT)models are used to achieve synchrony between input and output sequences and the notion of *** model has obtained state-of-the-art performance for several language ***,there has been little work exploring useful architectures for Urdu-to-English machine *** conducted extensive Urdu-to-English translation experiments using Long short-term memory(LSTM)/Bidirectional recurrent neural networks(Bi-RNN)/Statistical recurrent unit(SRU)/Gated recurrent unit(GRU)/Convolutional neural network(CNN)and *** results show that Bi-RNN and LSTM with attention mechanism trained iteratively,with a scalable data set,make precise predictions on unseen *** trained models yielded competitive results by achieving 62.6%and 61%accuracy and 49.67 and 47.14 BLEU scores,*** a qualitative perspective,the translation of the test sets was examined manually,and it was observed that trained models tend to produce repetitive output more *** attention score produced by Bi-RNN and LSTM produced clear alignment,while GRU showed incorrect translation for words,poor alignment and lack of a clear ***,we considered refining the attention-based models by defining an additional attention-based dropout *** dropout fixes alignment errors and minimizes translation errors at the word *** empirical demonstration and comparison with their counterparts,we found improvement in the quality of the resulting translation system and a decrease in the perplexity and over-translation *** ability of the proposed model was evaluated using Arabic-English and Persian-English datasets as *** empirically concluded that adding an attention-based dropout layer helps improve GRU,SRU,and Transformer translation and is considerably more efficient in translation quality and speed.

关键词： Natural language processing neural machine translation word embedding attention perplexity selective dropout regularization Urdu Persian Arabic BLEU

Re-analysis of temperature dependent neutron capture rates and stellarβ-decay rates of^(95-98)Mo

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Chinese Physics C 2024年第9期48卷 142-149页

作者： Abdul Kabir Jameel-Un Nabi muhammad Tahir Abdul Muneem zain Ul Abideen Space and Astrophysics Research lab National Centre of GIS and Space ApplicationsDepartment of Space ScienceInstitute of Space TechnologyIslamabad 44000Pakistan University of Wah Quaid AvenueWah Cantt 47040PunjabPakistan Faculty of Engineering Sciences GIK Institute of Engineering Sciences and TechnologyTopi 23640Khyber PakhtunkhwaPakistan

The neutron capture rates and temperature dependent stellar beta decay rates of Mo isotopes are investigated within the framework of the statistical code TALYS v1.96 and the proton neutron quasi particle random phase approximation(pn-QRPA)*** Maxwellian average cross-section(MACS)and neutron capture rates for the^(95-98)Mo(n,γ)^(96-99)Mo radiative capture process are analyzed within the framework of the statistical code TALYS v1.96 based on the phenomenological nuclear level density model and gamma strength *** present model-based computations for the MACS are comparable to the existing measured *** sensitivity of stellar weak interaction rates to various densities and temperatures is investigated within the framework of the pn-QRPA *** attention is paid to the impact of thermally filled excited states in the decaying nuclei(^(95-98)Mo)on electron emission and positron capture ***,we compare the neutron capture rates and stellar beta decay *** is found that neutron capture rates are higher than stellar beta decay rates at both lower and higher temperatures.

关键词： cross-section TALYS nuclear level density decay rates capture rates

LexDeep:Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19

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Computers, Materials & Continua 2023年第4期75卷 1577-1601页

作者： Azlinah Mohamed Zuhaira muhammad zain Hadil Shaiba Nazik Alturki Ghadah Aldehim Sapiah Sakri Saiful Farik Mat Yatin Jasni Mohamad zain Institute for Big Data Analytics and Artificial Intelligence Universiti Teknologi MARA(UiTM)Shah AlamMalaysia College of Computer and Information Sciences Princess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA(UiTM)Shah AlamMalaysia

The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic *** analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social ***,limited research has been conducted in this domain using theLexDeep *** study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 ***,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)***,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the *** performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and *** resultsdemonstrated that all LexDeep models with simple embedding outperformedthe *** confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific *** terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe *** research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.

关键词： Sentiment analysis sentiment lexicon machine learning imbalanced data deep learning method unemployment rate

Software Defect Prediction Harnessing on Multi 1-Dimensional Convolutional Neural Network Structure

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Computers, Materials & Continua 2022年第4期71卷 1521-1546页

作者： Zuhaira muhammad zain Sapiah Sakri Nurul Halimatul Asmak Ismail Reza M.Parizi Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Computer Science and Information Technology College of CommunityPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia College of Computing and Software Engineering Kennesaw State UniversityMariettaGA30060USA

Developing successful software with no defects is one of the main goals of software *** order to provide a software project with the anticipated software quality,the prediction of software defects plays a vital *** learning,and particularly deep learning,have been advocated for predicting software defects,however both suffer from inadequate accuracy,overfitting,and complicated *** this paper,we aim to address such issues in predicting software *** propose a novel structure of 1-Dimensional Convolutional Neural Network(1D-CNN),a deep learning architecture to extract useful knowledge,identifying and modelling the knowledge in the data sequence,reduce overfitting,and finally,predict whether the units of code are defects *** design large-scale empirical studies to reveal the proposed model’s effectiveness by comparing four established traditional machine learning baseline models and four state-of-the-art baselines in software defect prediction based on the NASA *** experimental results demonstrate that in terms of f-measure,an optimal and modest 1DCNN with a dropout layer outperforms baseline and state-of-the-art models by 66.79%and 23.88%,respectively,in ways that minimize overfitting and improving prediction performance for software *** to the results,1D-CNN seems to be successful in predicting software defects and may be applied and adopted for a practical problem in software ***,in turn,could lead to saving software development resources and producing more reliable software.

关键词： Defects software defect prediction deep learning convolutional neural network machine learning

Multi-Attribute Group Decision-Making Method under Spherical Fuzzy Bipolar Soft Expert Framework with Its Application

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Computer Modeling in Engineering & Sciences 2023年第11期137卷 1891-1936页

作者： Mohammed M.Ali Al-Shamiri Ghous Ali muhammad zain Ul Abidin Arooj Adeel Department of Mathematics Faculty of Science and ArtsMahayl AssirKing Khalid UniversityAbhaSaudi Arabia Department of Mathematics and Computer Faculty of ScienceIbb UniversityIbbYemen Department of Mathematics Division of Science and TechnologyUniversity of EducationLahorePakistan

Spherical fuzzy soft expert set(SFSES)theory blends the perks of spherical fuzzy sets and group decision-making into a unified *** allows solutions to highly complicated uncertainties and ambiguities under the unbiased supervision and group decision-making of multiple ***,SFSES theory has some deficiencies such as the inability to interpret and portray the bipolarity of *** work highlights and overcomes these limitations by introducing the novel spherical fuzzy bipolar soft expert sets(SFBSESs)as a powerful hybridization of spherical fuzzy set theory with bipolar soft expert sets(BSESs).Followed by the development of certain set-theoretic operations and properties of the proposed model,important problems,including the selection of non-powered dam(NPD)sites for hydropower conversion are discussed and solved under the proposed *** problems mainly focus on the need for an efficient tool capable of considering the bipolarity of parameters,complicated ambiguities,and multiple *** the new approach by a detailed comparative analysis,it is concluded that the proposed model is more comprehensive and reliable for multi-attribute group decisionmaking(MAGDM)than the previous tools,particularly considering the bipolarity of parameters under SFSES environment.

关键词： Spherical fuzzy sets bipolar soft expert sets group decision-making algorithm non-powered dams

Tectonic Imprints of the Hazara Kashmir Syntaxis on the Mesozoic Rocks Exposed in Munda, Mohmand Agency, Northwest Pakistan

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Acta Geologica Sinica(English Edition) 2016年第2期90卷 440-455页

作者： Asghar ALI Umer HABIB Atta Ur REHMAN Noor ZADA zain Ul ABIDIN muhammad ISMAIL Department of Geology University of Peshawar

Two well-developed mesoscopic folds, D_2 and D_3, which postdate the middle amphibolite metamorphism, were recognized in the western hinterland zone of Pakistan. NW–SE trending D_2 folds developed during NE–SW horizontal bulk shortening followed by NE–SW trending D_3 folds, which developed during SE–NW shortening. Micro- to mesoscopically the NW–SE trending S2 crenulation cleavage, boudins and mineral stretching lineations are overprinted by D_3. The newly established NW–SE trending micro- to mesoscopic structures in Munda termed D_2, which postdated F_1/F_2, is synchronously developed with F3 structures in the western hinterland zone of Pakistan. We interpret that D2 and D3 folds are counterclockwise rotated in the tectonic event that has evolved the Hazara Kashmir Syntaxis after the main phase Indian plate and Kohistan Island Arc collision. Chlorite replacement by biotite in the main matrix crenulation cleavages indicates prograde metamorphism related with D2. The inclusion of muscovite and biotite in garnet porphyroblasts and the presence of staurolite in these rocks indicate that the Barrovian metamorphic conditions predate D2 and D3. We interpret that garnet, staurolite and calcite porphyroblasts grew before D2 because the well developed S2 crenulation cleavage wraps around these porphyroblasts.

关键词： western hinterland zone Hazara Kashmir Syntaxis mesostructures microstructures metamorphism tectonics