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Connecting neurodevelopment to neurodegeneration:a spotlight on the role of kinesin superfamily protein 2A(KIF2A)

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Neural Regeneration Research 2024年第2期19卷 375-379页

作者： Nuria Ruiz-Reig Janne Hakanen fadel Tissir Universitécatholique de Louvain Institute of neuroscienceBrusselsBelgium College of Health and Life Sciences Hamad Bin Khalifa University(HBKU)DohaQatar

Microtubules play a central role in cytoskeletal changes during neuronal development and *** dynamics is essential to polarity and shape transitions underlying neural cell division,differentiation,motility,and *** superfamily protein 2A is a member of human kinesin 13 gene family of proteins that depolymerize and destabilize *** dividing cells,kinesin superfamily protein 2A is involved in mitotic progression,spindle assembly,and chromosome *** postmitotic neurons,it is required for axon/dendrite specification and extension,neuronal migration,connectivity,and *** with kinesin superfamily protein 2A mutations suffer from a variety of malformations of cortical development,epilepsy,autism spectrum disorder,and *** this review,we discuss how kinesin superfamily protein 2A regulates neuronal development and function,and how its deregulation causes neurodevelopmental and neurological disorders.

关键词： brain disorders cortical malformations kinesin microtubules neurodegeneration neurodevelopment

Phosphoric Acid Pretreatment and Saccharification of Paper Sludge as a Renewable Material for Cellulosic Fibers

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Journal of Renewable Materials 2024年第9期12卷 1573-1591页

作者： Samar El-Mekkawi Wafaa Abou-Elseoud Shaimaa fadel Enas Hassan Mohammad Hassan Chemical Engineering and Pilot Plant Department National Research CentreDokkiGiza12622Egypt Cellulose and Paper Department National Research CentreDokkiGiza12622Egypt

Recycling of paper sludge waste is crucial for establishing a sustainable green *** waste contains valuable sugars that can be converted into important chemicals such as ethanol,poly hydroxybutyrate,and lactic ***,the main challenge in obtaining sugars in high yield from paper sludge is the high crystallinity of cellulose,which hinders *** address this,pretreatment using phosphoric acid was optimized using response surface methodology to facilitate cellulose hydrolysis with minimal energy and *** created prediction model using the response surface method considered factors such as acid concentration(ranging from 60%to 85%),consistency(ranging from 4%to 10%),temperature(ranging from 25℃to 80℃),and time(ranging from 0.5 to 4 h).The results revealed that the model’s significant factors affecting the yield were acid concentration,reaction time,temperature,and the product of acid concentration and temperature,while the model’s significant factors affecting the crystallinity were the consistency,the temperature,and their *** results showed that the optimum conditions for pretreatment were using an acid concentration of 64%,temperature of 25℃,consistency of 10%,and time of 30 *** hydrolysis of the conditionally pretreated paper sludge resulted in a weight loss of 42%,compared to only 18%weight loss in non-pretreated paper ***,the optimized conditions led to low levels of furfurals and acetic acid,which are undesirable by-products that can interfere with sugar *** total sugar obtained under the optimized conditions was 0.43 g glucose/g sample(10.46 g/L),while the contents of methyl furfural,furfural,and acetic acid were 21.65,235.7,and 4.57 mg/L,*** study demonstrates the potential of phosphoric acid for pretreatment and hydrolysis of paper sludge,enabling efficient saccharification and the production of sugars with minimal undesired by-products.

关键词： Waste valorization fermentable sugars response surface methodology acid hydrolysis cellulose crystallinity

Refractory ulcerative colitis:Upadacitinib versus other biologics

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World Journal of Clinical Cases 2024年第31期12卷 6425-6427页

作者： Said G Farhat Jessy G fadel Department of Gastroenterology Research Saint George University of BeirutBeirut 00000Lebanon Dr.Sulaiman al Habib Hospital Dubai 00000United Arab Emirates

In this editorial we comment on an article published in World Journal of Clinical Cases in 2024,in which a case of refractory ulcerative colitis(UC)was discussed based on the response to different lines of *** studies showed that different classes of biologics have their advantages and disadvantages in the treatment of refractory *** classes are superior to others and if tried earlier on would lead to a possible change in the outcome.

关键词： Refractory Ulcerative colitis Upadacitinib Ustekinumab Vedolizumab

An Efficient Path Planning Strategy in Mobile Sink Wireless Sensor Networks

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Computers, Materials & Continua 2022年第10期73卷 1237-1267页

作者： Najla Bagais Etimad fadel Amal al-Mansour Department of Computer Science Faculty of Computing and Information TechnologyKing Abdul-Aziz UniversityJeddah21589Saudi Arabia

Wireless sensor networks (WSNs) are considered the backbone ofthe Internet of Things (IoT), which enables sensor nodes (SNs) to achieveapplications similarly to human intelligence. However, integrating a WSNwith the IoT is challenging and causes issues that require careful *** the lifetime of a network through appropriately utilising energyconsumption is among the essential challenges due to the limited resourcesof SNs. Thus, recent research has examined mobile sinks (MSs), which havebeen introduced to improve the overall efficiency of WSNs. MSs bear theburden of data collection instead of consuming energy at the routeing bySNs. In a network, some areas generate more data through SNs that containfrequent, urgent messages. These messages carry sensitive data that must bedelivered immediately to user applications. Collecting such messages via MSs,especially on a large scale, increases delays, which are not tolerable in some realapplications. This issue has not been studied much. Thus, the present studyutilises the advantages of the priority parameter to concentrate on these areasand proposes a new model named ‘energy efficient path planning of MS-basedarea priority’ (EEPP-BAP). This method involves non-urgent and urgentmessages. It is comprised of four procedures. Initially, after SNs are distributedrandomly in a wide monitoring field, the monitoring field is partitionedinto equal zones according to priority, either differently or equally. Next isclustering based on the cluster head (CH) selected to perform the particleswarm optimisation algorithm (PSO). Then, the MS moves first to the zoneswith higher priority and less distance to perform the brain storm optimisationalgorithm. Finally, for urgent messages from the other zones at which theMS continues, the proposed approach establishes a routeing technique usingmulti-hop communication based on the MS position and using PSO. The proposed solution is aimed at delivering urgent messages to MSs free of

关键词： Wireless sensor network priority urgent message swarm intelligence optimisation mobile sink clustering energy efficiency

Dynamic Instability of Straight Bars Subjected to Impulsive Axial Loads Using the DEM

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Computer Modeling in Engineering & Sciences 2015年第2期104卷 87-104页

作者： Leticia Fleck fadel Miguel Leandro Fleck fadel Miguel Joao Kaminski Jr. Department of Mechanical Engineering UFRGSPorto AlegreRSBrazil Department of Civil Engineering UFSCFlorianopolisSCBrazil Department of Structures and Civil Construction UFSMSanta MariaRSBrazil

Since the half of the XX century,attention was given to the instability of structures under parametric excitation,especially under periodic *** the other hand,the instability of bars subjected to axial loads of impulsive type has been little studied,in spite of the practical importance of the ***,in Engineering Design it is frequently supposed,without tests or additional verifications,that an axial load of short duration can exceed the Euler critical load of the bar without inducing damage in the *** this context,this paper proposes the use of the truss-like Discrete Element Method(DEM)for determining the dynamic response of elastic straight bars subjected to axial loads defined by pulses of short *** proposed approach allows the consideration of initial imperfections,as well as large displacements and other non-linear *** influence of the pulse duration and other effects in the response of the bar are also ***,the performance of the proposed methodology is verified in static and dynamic instability problems of homogeneous bars without geometrical imperfections,by comparing the DEM results with analytical solutions available in the *** that,the DEM is employed to analyze more complex cases,including bars with initial imperfections and non-homogeneous bars,in which material properties,as Young’s modulus and mass density,are assumed to be correlated Gaussian random *** proposed methodology has proven to be a useful and easy tool for analysis of dynamic instability of bars and could therefore be used by designers for estimating the dynamic buckling load.

关键词： Dynamic Instability Critical Buckling Load Discrete Element Method Impulsive Load Stochastic Fields Mesh Imperfections

Evolution,Extinction,Homology and Homoplasy of the Larger Benthic Foraminifera from the Carboniferous to the Present Day,as Exemplified by Planispiral-Fusiform and Discoidal Forms

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Journal of Earth Science 2022年第6期33卷 1348-1361页

作者： Marcelle K.BouDagher-fadel Office of the Vice-Provost University College LondonLondonWC1H 0BTUK

Examples of evolution,extinction and homoplasy of the larger benthic foraminifera(LBF)occur throughout their *** the Carboniferous,LBF have thrived in carbonate-rich tropical and subtropical shallow-marine shelf *** high abundance and diversity are due primarily to their extraordinary ability to inhabit a range of ecological niches and by hosting a variety of *** relatively large,centimetre-scale sizes,made some forms very specialized and vulnerable to rapid ecological *** this reason,some LBF have shown a tendency to suffer periodically during major extinctions,especially when environmental conditions have changed rapidly and/or ***,however,makes them valuable biostratigraphic microfossils and,in addition,gives invaluable insight into the spatial and temporal process of biological evolution,such as convergent/homoplasy and homology/iterative *** the evolutionary behavior of two important morphological types that occurred throughout the history of the LBF are discussed,namely the planispiral-fusiform test as typified by the fusulinids in the Late Paleozoic and the alveolinids in the Mid-Cretaceous and Neogene,and the three-layered discoid lenticular test as characterized by the orbitoids in the Mid-to Late Cretaceous,the orthophragminids in the Paleogene,and lepidocyclinids in the Oligocene to *** the propensity of these forms to convergent and iterative evolution,with the repeated re-occurrence of certain morphological features,is essential in understanding and constructing their phylogenetic relationships more generally within the main groups of the *** insights gained from the history of these LBF have wider implications,and provide a more general understanding of the impacts of climate and ecological changes as driving forces for biological evolution.

关键词： larger benthic foraminifera extinction homoplasy homology convergent/iterative evolution climate change

Evaluation of Deep Learning Models for Person Authentication Based on Touch Gesture

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Computer Systems Science & Engineering 2022年第8期42卷 465-481页

作者： Asrar Bajaber Mai fadel Lamiaa Elrefaei Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Electrical Engineering Department Faculty of Engineering at ShoubraBenha UniversityCairo11629Egypt

Touch gesture biometrics authentication system is the study of user's touching behavior on his touch device to identify *** features traditionally used in touch gesture authentication systems are extracted using hand-crafted feature extraction *** this work,we investigate the ability of Deep Learning(DL)to automatically discover useful features of touch gesture and use them to authenticate the *** different models are investigated Long-Short Term Memory(LSTM),Gated Recurrent Unit(GRU),Convolutional Neural Network(CNN)combined with LSTM(CNN-LSTM),and CNN combined with GRU(CNN-GRU).In addition,different regularization techniques are investigated such as Activity Regularizer,Batch Normalization(BN),Dropout,and *** deep networks were trained from scratch and tested using Touchalytics and BioIdent datasets for dynamic touch *** result reported in terms of authentication accuracy,False Acceptance Rate(FAR),False Rejection Rate(FRR).The best result we have been obtained was 96.73%,96.07%and 96.08%for training,validation and testing accuracy respectively with dynamic touch authentication system on Touchalytics dataset with CNN-GRU DL model,while the best result of FAR and FRR obtained on Touchalytics dataset was with CNN-LSTM were FAR was 0.0009 and FRR was *** BioIdent dataset the best results have been obtained was 84.87%,78.28%and 78.35%for Training,validation and testing accuracy respectively with CNN-LSTM *** use of a learning based approach in touch authentication system has shown good results comparing with other state-of-the-art using Touchalytics dataset.

关键词： Touch authentication system touch gestures behavioral biometric deep learning classification CNN RNN LSTM

Influence of Cr, Mn and Mo Addition on Structure and Properties of V Microalloyed Medium Carbon Steels

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Journal of Materials Science & Technology 2012年第11期28卷 1053-1058页

作者： Abdunnaser fadel Dragomir Glii Nenad Radovi Djordje Drobnjak Department of Metallurgical Engineering Faculty of Technology and Metallurgy University of Belgrade

The effect of austenitizing temperature and Cr, Mo and Mn addition on microstructure and mechanical properties of V microalloyed medium carbon steel has been studied by means of metallography and mechanical testing. The addition of Cr, Mn and Mo leads to a decrease in yield strength （YS） by approximate 100 MPa in comparison to the base steel. It is assumed that Mn and Mo increase hardenability by promoting the formation of bainitic sheaves （BS）, i.e. by suppressing the formation of ferrite-pearlite and acicular ferrite （FP-AF）. Cr at the level used in this work is not that effective. Presence and packet size of bainitic sheaves decrease the Charpy V-notch impact energy at 20 ℃ （CVN20） in comparison to ferrite-pearlite and acicular ferrite microstructures.

关键词： Medium-carbon steels Chromium Molybdenum Manganese addition Bainite Acicular ferrite

Multi-Task Learning Model with Data Augmentation for Arabic Aspect-Based Sentiment Analysis

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Computers, Materials & Continua 2023年第5期75卷 4419-4444页

作者： Arwa Saif fadel Osama Ahmed Abulnaja Mostafa Elsayed Saleh Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computer Sciences and EngineeringHodeidah UniversityYemen

Aspect-based sentiment analysis(ABSA)is a fine-grained *** fundamental subtasks are aspect termextraction(ATE)and aspect polarity classification(APC),and these subtasks are dependent and closely ***,most existing works on Arabic ABSA content separately address them,assume that aspect terms are preidentified,or use a pipeline *** solutions design different models for each task,and the output from the ATE model is used as the input to the APC model,which may result in error propagation among different steps because APC is affected by ATE *** methods are impractical for real-world scenarios where the ATE task is the base task for APC,and its result impacts the accuracy of ***,in this study,we focused on a multi-task learning model for Arabic ATE and APC in which the model is jointly trained on two subtasks simultaneously in a *** paper integrates themulti-task model,namely Local Cotext Foucse-Aspect Term Extraction and Polarity classification(LCF-ATEPC)and Arabic Bidirectional Encoder Representation from Transformers(AraBERT)as a shred layer for Arabic contextual text *** LCF-ATEPC model is based on a multi-head selfattention and local context focus mechanism(LCF)to capture the interactive information between an aspect and its ***,data augmentation techniques are proposed based on state-of-the-art augmentation techniques(word embedding substitution with constraints and contextual embedding(AraBERT))to increase the diversity of the training *** paper examined the effect of data augmentation on the multi-task model for Arabic *** experiments were conducted on the original and combined datasets(merging the original and augmented datasets).Experimental results demonstrate that the proposed Multi-task model outperformed existing APC *** results were obtained by AraBERT and LCF-ATEPC with fusion layer(AR-LCF-ATEPC-Fusion)and the proposed data augmentation

关键词： Arabic aspect extraction arabic sentiment classification AraBERT multi-task learning data augmentation