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Bioengineering bacterial encapsulin nanocompartments as targeted drug delivery system

Synthetic and Systems Biotechnology 2021年第3期6卷 231-241页

作者： Alexander Van de Steen rana khalife Noelle Colant Hasan Mustafa Khan Matas Deveikis Saverio Charalambous Clare M.Robinson Rupali Dabas Sofia Esteban Serna Diana A.Catana Konstantin Pildish Vladimir Kalinovskiy Kenth Gustafsson Stefanie Frank Department of Biochemical Engineering University College LondonUK Natural Sciences University College LondonUK Division of Biosciences University College LondonUK UCL iGEM Student Team 2019 UK

The development of Drug Delivery Systems(DDS)has led to increasingly efficient therapies for the treatment and detection of various *** use a range of nanoscale delivery platforms produced from polymeric of inorganic materials,such as micelles,and metal and polymeric nanoparticles,but their variant chemical composition make alterations to their size,shape,or structures inherently *** encoded protein nanocages are highly promising DDS candidates because of their modular composition,ease of recombinant production in a range of hosts,control over assembly and loading of cargo molecules and *** example of naturally occurring nanocompartments are encapsulins,recently discovered bacterial organelles that have been shown to be reprogrammable as nanobioreactors and vaccine *** we report the design and application of a targeted DDS platform based on the Thermotoga maritima encapsulin reprogrammed to display an antibody mimic protein called Designed Ankyrin repeat protein(DARPin)on the outer surface and to encapsulate a cytotoxic *** DARPin9.29 chosen in this study specifically binds to human epidermal growth factor receptor 2(HER2)on breast cancer cells,as demonstrated in an in vitro cell culture *** encapsulin-based DDS is assembled in one step in vivo by co-expressing the encapsulin-DARPin9.29 fusion protein with an engineered flavin-binding protein mini-singlet oxygen generator(MiniSOG),from a single plasmid in Escherichia *** encapsulin-DARPin_miniSOG nanocompartments bind specifically to HER2 positive breast cancer cells and trigger apoptosis,indicating that the system is functional and *** DDS is modular and has the potential to form the basis of a multi-receptor targeted system by utilising the DARPin screening libraries,allowing use of new DARPins of known specificities,and through the proven flexibility of the encapsulin cargo loading mechanism,allowing selection of cargo proteins

关键词： Encapsulin Drug delivery system Cytotoxic protein DARPin

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An Overview of PRP-Delivering Scaffolds for Bone and Cartilage Tissue Engineering

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Journal of Bionic Engineering 2024年第2期21卷 674-693页

作者： Somayeh Baghersad Behzad Bolandi rana Imani Shabnam Afaghi Samira Davoudinia Department of Textile Engineering Amirkabir University of Technology(Tehran Polytechnic)Tehran159163-4311Iran Department of Biomedical Engineering Amirkabir University of Technology(Tehran Polytechnic)Tehran159163-4311Iran

Tissue engineering is nowadays an emerging approach that aims to replace or regenerate diseased or damaged organs with engineered constructs. Considering the key role of growth factors (GFs) in the tissue regeneration process, these biomolecules are considered an important part of the tissue engineering process, so the presence of growth factors in engineered scaffolds can accelerate tissue regeneration by influencing the behavior of cells. Platelet-rich plasma (PRP), as an autologous source of a variety of growth factors, is considered a therapeutic agent for the treatment of degenerative diseases. Regarding its ability to promote the healing process and tissue regeneration, PRP therapy has attracted great attention in bone and cartilage tissue engineering. Incorporating PRP and its derivatives into engineered scaffolds not only bioactivates the scaffold, but the scaffold matrix also acts as a sustained and localized growth factor release system. In addition, the presence of a scaffold can promote the bioactivity of GFs by providing an environment that facilitates their interaction, leading to enhanced effects compared to their free form. This review presents a brief overview of PRP's role in bone and cartilage tissue regeneration with the main focus on scaffold-mediated PRP delivery. In addition, the classification of platelet-rich products, current extraction techniques, terminology, and scaffold bioactivation methods are presented to provide a better understanding of the basics and the key aspects that may affect the effectiveness of therapy in bone and cartilage tissue engineering.

关键词： Platelet-rich plasma Growth factors delivery Scaffold Bone Cartilage

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Assessing Multidimensional Vulnerability of Rural Areas to Flooding:An Index‑Based Approach

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International Journal of Disaster Risk Science 2024年第1期15卷 88-106页

作者： Samavia Rasool Irfan Ahmad rana Hassam Bin Waseem Department of Urban and Regional Planning School of Civil and Environmental Engineering(SCEE)National University of Sciences and Technology(NUST)Islamabad 44000Pakistan

Vulnerability assessment is essential for understanding and launching effective flood risk reduction *** study aimed to examine the vulnerability of flood-prone rural communities in southern Punjab,Pakistan to external *** concept of vulnerability encompasses a range of dimensions,including physical,social,institutional,environmental,economic,and *** a composite index method,indices were developed for each dimension and combined to create a multidimensional measure of vulnerability.A sample of 365 communities was selected using the Yamane sampling technique,and data were collected through a questionnaire containing 65 indicators across all *** statistics and ANOVA tests were used to analyze the *** results show that communities near the Chenab River had higher attitudinal and institutional vulnerability compared to other *** attitudinal vulnerabilities were as sociated with poorly perceived flood risks and low preparedness measures,whereas institutional vulnerabilities were driven by conventional flood protection strategies,lack of institutional trust,and lack of flood risk *** research provides insights into the various components of vulnerability in flood-prone rural communities in Pakistan and demonstrates a useful methodology that can be applied to other disasters at different spatial scales.

关键词： Chenab River Flood hazard Indus River Pakistan-Rural areas:Vulnerability to flooding

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Caching Strategies in NDN Based Wireless Ad Hoc Network:A Survey

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Computers, Materials & Continua 2024年第7期80卷 61-103页

作者： Ahmed Khalid rana Asif Rehman Byung-Seo Kim Department of Computer Science FAST School of ComputingNational University of Computer and Emerging SciencesLahore54000Pakistan Department of Software and Communications Engineering Hongik UniversitySejong City30016Republic of Korea

Wireless Ad Hoc Networks consist of devices that are wirelessly *** Ad Hoc Networks(MANETs),Internet of Things(IoT),and Vehicular Ad Hoc Networks(VANETs)are the main domains of wireless ad hoc *** is used in wireless ad hoc *** is based on Transmission Control Protocol(TCP)/Internet Protocol(IP)network where clients and servers interact with each other with the help of IP in a pre-defined *** fetches data from a fixed *** redundancy,mobility,and location dependency are the main issues of the IP network *** these factors result in poor performance of wireless ad hoc *** main disadvantage of IP is that,it does not provide in-network ***,there is a need to move towards a new network that overcomes these *** Data Network(NDN)is a network that overcomes these *** is a project of Information-centric Network(ICN).NDN provides in-network caching which helps in fast response to user *** NDN in wireless ad hoc network provides many benefits such as caching,mobility,scalability,security,and *** considering the certainty,in this survey paper,we present a comprehensive survey on Caching Strategies in NDN-based Wireless *** cachingmechanism-based results are also *** the last,we also shed light on the challenges and future directions of this promising field to provide a clear understanding of what caching-related problems exist in NDN-based wireless ad hoc networks.

关键词： Content centric network Internet of Things mobile ad hoc network named data network vehicular ad hoc network

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Pleistocene glaciation advances the cryptic speciation of Stellera chamaejasme *** a major biodiversity hotspot

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Journal of Integrative Plant Biology 2024年第6期66卷 1192-1205页

作者： Santosh Kumar rana Hum Kala rana Jacob BLandis Tianhui Kuang Juntong Chen Hengchang Wang Tao Deng Charles C.Davis Hang Sun CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China Arkansas Biosciences Institute Arkansas State UniversityJonesboroArkansas 72401USA School of Integrative Plant Science Section of Plant Biology and the L.H.Bailey HortoriumCornell UniversityIthacaNew York 14853USA BTI Computational Biology Center Boyce Thompson InstituteIthacaNew York 14853USA CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture Chinese Academy of SciencesWuhan Botanical GardenWuhan 430074China Department of Organismic and Evolutionary Biology HerbariaHarvard UniversityCambridgeMassachusetts 02138USA

The mountains of Southwest China comprise a significant large mountain range and biodiversity hotspot imperiled by global climate *** high species diversity in this mountain system has long been attributed to a complex set of factors,and recent large-scale macroevolutionary investigations have placed a broad timeline on plant diversification that stretches from 10 million years ago(Mya)to the *** our increasing understanding of the temporal mode of speciation,finer-scale populationlevel investigations are lacking to better refine these temporal trends and illuminate the abiotic and biotic influences of cryptic *** is largely due to the dearth of organismal sampling among closely related species and populations,spanning the incredible size and topological heterogeneity of this *** study dives into these evolutionary dynamics of speciation using genomic and ecomorphological data of Stellera chamaejasme *** identified four previously unrecognized cryptic species having indistinct morphological traits and large metapopulation of evolving lineages,suggesting a more recent diversification(~2.67-0.90 Mya),largely influenced by Pleistocene glaciation and biotic *** factors likely influenced allopatric speciation and advocated cyclical warming–cooling episodes along elevational gradients during the *** study refines the evolutionary timeline to be much younger than previously implicated and raises the concern that projected future warming may influence the alpine species diversity,necessitating increased conservation efforts.

关键词： cryptic speciation glacial-interglacial Hengduan Mountains north-south migration Stellera chamaejasme

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Detection of Real-Time Distributed Denial-of-Service (DDoS) Attacks on Internet of Things (IoT) Networks Using Machine Learning Algorithms

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Computers, Materials & Continua 2024年第8期80卷 2139-2159页

作者： Zaed Mahdi Nada Abdalhussien Naba Mahmood rana Zaki Information Technology Center University of TechnologyBaghdad00964Iraq Continuous Education Center University of TechnologyBaghdad00964Iraq Computer Science Department University of TechnologyBaghdad00964Iraq

The primary concern of modern technology is cyber attacks targeting the Internet of *** it is one of the most widely used networks today and vulnerable to ***-time threats pose with modern cyber attacks that pose a great danger to the Internet of Things(IoT)networks,as devices can be monitored or service isolated from them and affect users in one way or *** Internet of Things networks is an important matter,as it requires the use of modern technologies and methods,and real and up-to-date data to design and train systems to keep pace with the modernity that attackers use to confront these *** of the most common types of attacks against IoT devices is Distributed Denial-of-Service(DDoS)*** paper makes a unique contribution that differs from existing studies,in that we use recent data that contains real traffic and real attacks on IoT *** a hybrid method for selecting relevant features,And also how to choose highly efficient *** gives the model a high ability to detect distributed denial-of-service *** model proposed is based on a two-stage process:selecting essential features and constructing a detection model using the K-neighbors algorithm with two classifier algorithms logistic regression and Stochastic Gradient Descent classifier(SGD),combining these classifiers through ensemble machine learning(stacking),and optimizing parameters through Grid Search-CV to enhance system *** were conducted to evaluate the effectiveness of the proposed model using the CIC-IoT2023 and CIC-DDoS2019 *** evaluation demonstrated the potential of our model in robust intrusion detection in IoT networks,achieving an accuracy of 99.965%and a detection time of 0.20 s for the CIC-IoT2023 dataset,and 99.968%accuracy with a detection time of 0.23 s for the CIC-DDoS 2019 ***,a comparative analysis with recent related works highlighted the superiority of our methodology in in

关键词： DDoS Service networks

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Computational and bioinformatics tools for understanding disease mechanisms

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BIOCELL 2024年第6期48卷 935-944页

作者： MOHD ATHAR ANU MANHAS NISARG rana AHMAD IRFAN Physics Department University of CagliariCittadella UniversitariaMonserrato(CA)09042Italy Department of Chemistry School of Energy TechnologyPandit Deendayal Energy UniversityGandhinagar382426India Department of Chemistry College of ScienceKing Khalid UniversityAbha61413Saudi Arabia

Computational methods have signiﬁcantly transformed biomedical research,offering a comprehensive exploration of disease mechanisms and molecular protein *** article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease *** utilization of protein/gene interaction and genetic variation databases,coupled with pathway analysis can facilitate the identiﬁcation of potential drug *** bridging the gap between molecular-level information and disease understanding,this review contributes insights into the impactful utilization of computational methods,paving the way for targeted interventions and therapeutic advancements in biomedical research.

关键词： Interaction database Disease mechanisms Protein function Network analysis Bioinformatics Genetic variations Protein-protein interactions Signaling pathways

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Synthesis and characterization of nanocarbon from waste batteries via an eco-friendly method

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Waste Disposal and Sustainable Energy 2024年第2期6卷 197-208页

作者： Maraim Kh.Uoda Hussein Q.Hussein rana R.Jalil Chemical Engineering Department College of EngineeringUniversity of BaghdadBaghdadIraq Thi.Qar Oil Company NassriyaIraq Petroleum Research and Development Center BaghdadIraq

The widespread use of disposable batteries to power common electronic devices is a major source of *** are growing environmental and health concerns due to the expansion of e-waste around the ***,developing a reli-able system for recycling old batteries has reached the top of the recycling priority *** current study presents a novel approach to synthesis carbon nanoparticles(CNPs)from spent batteries via an eco-friendly method that offers economical,environment-friendly,and nontoxic approaches in comparison to conventional chemical *** synthesized nano-particles were characterized by field emission scanning electron microscopy(FE-SEM),energy-dispersive X-ray(EDX),powder X-ray diffractometry(XRD),UV-VIS absorption analysis(UV),Fourier transform infrared spectroscopy(FT-IR),Atomic force microscope(AFM),and thermo-gravimetric analysis(TGA).The average diameter of the synthesized particles was 40.16 nm,and the particles tended to be aspherical in *** analysis also predicted the presence of pure carbon,with some contamination arrived at 15%(in weight).This is a novel study in which nanocarbons were synthesized in a brine(7600x10-6)from a target(CNPs>75 nm),which paves the way for future use of CNPs derived from spent batteries and helps the environment by decreasing the amount of electronic waste dumped in landfills.

关键词： Novel Zn-C battery Carbon nanoparticles Characterization Eco-friendly methods

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An Intelligent MCGDM Model in Green Suppliers Selection Using Interactional Aggregation Operators for Interval-Valued Pythagorean Fuzzy Soft Sets

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1829-1862页

作者： rana Muhammad Zulqarnain Wen-Xiu Ma Imran Siddique Hijaz Ahmad Sameh Askar School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China Department of Mathematics and Statistics University of South FloridaTampaFL 33620-5700USA School of Mathematical and Statistical Sciences North-West UniversityMafikeng CampusMmabatho2735South Africa Department of Mathematics University of SargodhaSargodha40100Pakistan Section of Mathematics International Telematic University UninettunoCorso Vittorio Emanuele IIRoma00186Italy Near East University Operational Research Center in HealthcareNicosia/Mersin99138Turkey Department of Statistics and Operations Research College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Green supplier selection is an important debate in green supply chain management(GSCM),attracting global attention from scholars,especially companies and *** frequently search for new ideas and strategies to assist them in realizing sustainable *** of the speculative character of human opinions,supplier selection frequently includes unreliable data,and the interval-valued Pythagorean fuzzy soft set(IVPFSS)provides an exceptional capacity to cope with excessive fuzziness,inconsistency,and inexactness through the decision-making *** main goal of this study is to come up with new operational laws for interval-valued Pythagorean fuzzy soft numbers(IVPFSNs)and create two interaction operators-the intervalvalued Pythagorean fuzzy soft interaction weighted average(IVPFSIWA)and the interval-valued Pythagorean fuzzy soft interaction weighted geometric(IVPFSIWG)operators,and analyze their *** operators are highly advantageous in addressing uncertain problems by considering membership and non-membership values within intervals,providing a superior solution to other ***,specialist judgments were calculated by the MCGDM technique,supporting the use of interaction AOs to regulate the interdependence and fundamental partiality of green supplier assessment ***,a statistical clarification of the planned method for green supplier selection is presented.

关键词： Interval-valued Pythagorean fuzzy soft set IVPFSIWA operator IVPFSIWG operator MCGDM SCM

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Machine learning for predicting the outcome of terminal ballistics events

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Defence Technology（防务技术） 2024年第1期31卷 14-26页

作者： Shannon Ryan Neeraj Mohan Sushma Arun Kumar AV Julian Berk Tahrima Hashem Santu rana Svetha Venkatesh Applied Artificial Intelligence Institute(A2I2) Deakin University75 Pigdons RdWaurn PondsVIC3216Australia

Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal *** evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite *** achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release *** demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this *** extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is *** circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss *** physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when *** resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical *** with numerical analysis tools such as finite element solvers the ML models run orders of magnitude *** provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballist

关键词： Machine learning Artificial intelligence Physics-informed machine learning Terminal ballistics Armour

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