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A new paradigm for diagnosis of neurodegenerative diseases: peripheral exosomes of brain origin

Translational Neurodegeneration 2022年第1期11卷 532-546页

作者： Neelam Younas Leticia Camila Fernandez Flores Franziska hopfner günter u.höglinger Inga Zerr Prion Research group Department of NeurologyNational Reference Center for Surveillance of TSEUniversitätsklinikum Göttingen:Universitätsmedizin GöttingenGeorg-August UniversityGöttingenGermanyRobert-Koch-Strasse 4037075 GöttingenGermany hannover Medical School Medizinische Hochschule HannoverHannoverGermany german Center for Neurodegenerative Diseases(DZNE) MunichGermany german Center for Neurodegenerative Diseases(DZNE) GöttingenGermany.

Neurodegenerative diseases are a heterogeneous group of maladies, characterized by progressive loss of neurons. These diseases involve an intricate pattern of cross-talk between different types of cells to maintain specific signaling pathways. A component of su.h intercellular cross-talk is the exchange of various types of extracellular vesicles (EVs). Exosomes are a subset of EVs, which are increasingly being known for the role they play in the pathogenesis and progression of neurodegenerative diseases, e.g., synucleinopathies and tauopathies. The ability of the central nervous system exosomes to cross the blood-brain barrier into blood has generated enthusiasm in their study as potential biomarkers. however, the lack of standardized, efficient, and ultra-sensitive methods for the isolation and detection of brain-derived exosomes has hampered the development of effective biomarkers. Exosomes mirror heterogeneous biological changes that occur during the progression of these incurable illnesses, potentially offering a more comprehensive outlook of neurodegenerative disease diagnosis, progression and treatment. In this review, we aim to discuss the challenges and opportunities of peripheral biofluid-based brain-exosomes in the diagnosis and biomarker discovery of Alzheimer’s and Parkinson’s diseases. In the later part, we discuss the traditional and emerging methods used for the isolation of exosomes and compare their advantages and disadvantages in clinical settings.

关键词： Alzheimer’s disease Central nervous system Diagnosis Exosomes Blood-brain barrier Parkinson’s disease

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Exact solutions for magnetohydrodynamic nanofluids flow and heat transfer over a permeable axisymmetric radially stretching/shrinking sheet

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Chinese Physics B 2024年第2期33卷 108-114页

作者： u.S.Mahabaleshwar g.P.Vanitha L.M.Pérez Emad h.Aly I.Pop Department of Studies in Mathematics Davangere UniversityShivagangothriDavangereIndia Departamento de F´ısica FACIUniversidad de Tarapac´aCasilla 7DAricaChile Department of Mathematics Faculty of EducationAin Shams UniversityRoxyCairoEgypt Department of Mathematics Babes-Bolyai University400084 Cluj-NapocaRomania

We report on the magnetohydrodynamic impact on the axisymmetric flow of Al_(2)O_(3)/Cu nanoparticles suspended in h_(2)O past a stretched/shrinked *** the use of partial differential equations and the corresponding thermophysical characteristics of nanoparticles,the physical flow process is *** resultant nonlinear system of partial differential equations is converted into a system of ordinary differential equations using the suitable similarity *** transformed differential equations are solved *** of the magnetic parameter,solid volume fraction and stretching/shrinking parameter on momentum and temperature distribution have been analyzed and interpreted *** skin friction and Nusselt number were also *** addition,existence of dual solution was deduced for the shrinking sheet and unique solution for the stretching ***,Al_(2)O_(3)/h_(2)O nanofluid flow has better thermal conductivity on comparing with Cu.h_(2)O ***,it was found that the first solutions of the stream are stable and physically realizable,whereas those of the second ones are unstable.

关键词： magnetohydrodynamic nanofluid stretching/shrinking sheet axisymmetric flow analytical solution suction/injection

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The impact of being in the COVID-19 pandemic on in-hospital mortality of non-infected patients aged 80 years and older with ST-elevation myocardial ınfarction

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Journal of geriatric Cardiology 2024年第7期21卷 768-774页

作者： Mustafa Ebik Muhammet gürdoğan uğurÖzkan Department of Cardiology Edirne SultanMurat State HospitalEdirneTurkey Department of Cardiology School of MedicineTrakya UniversityEdirneTurkey

The COVID-19 outbreak in late 2019 was declared a pandemic by the World health Organization(WhO)on March 12,2020.[1]As of the latest WhO data,COVID-19 has caused over 770 million cases and nearly 7 million deaths worldwide.[2]hospitalizations due to COVID-19 are correlated with advanced age.[3,4]According to re-ports,individuals over the age of 65 account for 80%of COVID-19-related deaths.[3,4]This is primar-ily due to the increased burden of comorbidity with age.

关键词： infected patients mortality

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Shell-model representations of the microscopic version of the Bohr-Mottelson collective model

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Communications in Theoretical Physics 2024年第8期76卷 79-90页

作者： h g ganev Joint Institute for Nuclear Research DubnaRussia Institute of Mechanics Bulgarian Academy of SciencesSofiaBulgaria

The structure of the irreducible collective spaces of the group Sp(12,R),which many-particle nuclear states are classified according to the chain Sp(12,R)⊃u(6)⊃SO(6)⊃Su_(pn)(3)⊗SO(2)⊃SO(3)of the proton-neutron symplectic model(PNSM),is considered in *** chain of the PNSM was recently shown to correspond to a microscopic shell-model version of the Bohr-Mottelson collective *** construction of the relevant shell-model representations of the Sp(12,R)group along this chain is considered for three nuclei with varying collective properties and from different mass *** is shown that the Su_(pn)(3)basis states of the Sp(12,R)representations belonging to the SO(6)irreps with seniorityυ≥υ0,withυ0 denoting the maximal seniority SO(6)irrep contained in the Sp(12,R)bandhead,are always Pauli allowed,but organized in a different way into different SO(6)*** is in contrast to the case of filling the levels of the standard three-dimensional harmonic oscillator and using the plethysm *** the Su_(pn)(3)multiplets withinυuli forbidden,it is safe to discard *** results obtained in the present work are important for the practical application of the microscopic version of the Bohr-Mottelson collective model.

关键词： microscopic shell-model version of the Bohr-Mottelson model proton-neutron symplectic model Sp(12,R)dynamical algebra shell-model representations

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Emotion Detection using ECg Signals and a Lightweight CNN Model

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Computer Systems Science & Engineering 2024年第5期48卷 1193-1211页

作者： Amita u.Dessai hassanali g.Virani Department of Electronics and Telecommunication Engineering Goa College of EngineeringGoa UniversityPonda403401India

Emotion recognition is a growing field that has numerous applications in smart healthcare systems and human-Computer Interaction(hCI).however,physical methods of emotion recognition su.h as facial expressions,voice,and text data,do not always indicate true emotions,as users can falsify *** the physiological methods of emotion detection,Electrocardiogram(ECg)is a reliable and efficient way of detecting ***-enabled smart bands have proven effective in collecting emotional data in uncontrolled *** use deep machine learning techniques for emotion recognition using ECg signals,but there is a need to develop efficient models by tuning the ***,most researchers focus on detecting emotions in individual settings,but there is a need to extend this research to group settings aswell since most of the emotions are experienced in *** this study,we have developed a novel lightweight one dimensional(1D)Convolutional Neural Network(CNN)model by reducing the number of convolution,max pooling,and classification *** optimization has led to more efficient emotion classification using *** tested the proposed model’s performance using ECg data from the AMIgOS(A Dataset for Affect,Personality and Mood Research on Individuals andgroups)dataset for both individual and group *** results showed that themodel achieved an accuracy of 82.21%and 85.62%for valence and arousal classification,respectively,in individual *** group settings,the accuracy was even higher,at 99.56%and 99.68%for valence and arousal classification,*** reducing the number of layers,the lightweight CNNmodel can process data more quickly and with less complexity in the hardware,making it suitable for the implementation on the mobile phone devices to detect emotions with improved accuracy and speed.

关键词： Emotions AMIgOS ECg lightweight 1D CNN

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Bubble coalescence in interacting system of DNA molecules

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International Journal of Biomathematics 2024年第4期17卷 195-216页

作者： u.A.Rozikov V.I.Romanouskiy Institute of Mathematics 9 Universitet Street100174 Tashkent uzbekistan AKFA university National Park StreetBarkamol MFY Mirzo-Ulugbek District111221 Tashkent uzbekistan National university of uzbekistan 4Universitet Street 100174 TashkentUzbekistan

We consider two models of interacting DNA molecules:First is(four parametric)bubble coalescence model in interacting DNAs(shortly:BCI-DNA).Second is(three parametric)bubble coalescence model in a condensed DNA molecules(shortly BCC-DNA).To study bubble coalescence thermodynamics of BCI-DNA and BCC-DNA models we use methods of statistical ***,we define hamiltonian of each model and give their translation-invariant gibbs measures(TIgMs).For the first model,we find parameters su.h that corresponding hamiltonian has up to three TIgMs(three phases of system)biologically meaning existence of three states:“No bubble coalescence”,“Dominated soft zone”,“Bubble coalescence”.For the second model,we show that for any(admissible)parameters,this model has unique *** is a state where“No bubble coalescence”phasedominates.

关键词： DNA bubble configuration Cayley tree gibbs measure Potts model

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Role of marine natural products in the development of antiviral agents against SARS‑CoV‑2:potential and prospects

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Marine Life Science & Technology 2024年第2期6卷 280-297页

作者： D.P.Nagahawatta N.M.Liyanage Thilina u.Jayawardena h.h.A.C.K.Jayawardhana Seong‑hun Jeong hyung‑Jun Kwon You‑Jin Jeon Department of Marine Life Sciences Jeju National UniversityJeju 690-756Republic of Korea Department of Chemistry Biochemistry and PhysicsUniversitédu QuébecàTrois-RivièresTrois-RivièresQC G8Z 4M3Canada Marine Science Institute Jeju National UniversityJeju 63333Republic of Korea Functional Biomaterial Research Center Korea Research Institute of Bioscience and BiotechnologyJeongeup-siRepublic of Korea

A novel coronavirus,known as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has surfaced and caused global concern owing to its ***-CoV-2 is the causative agent of coronavirus disease 2019;however,it was only discovered at the end of the year and was considered a pandemic by the World health ***,the develop-ment of novel potent inhibitors against SARS-CoV-2 and future outbreaks is urgently *** naturally occurring bioactive substances have been studied in the clinical setting for diverse *** intricate infection and replication mechanism of SARS-CoV-2 offers diverse therapeutic drug targets for developing antiviral medicines by employing natural products that are safer than synthetic *** natural products(MNPs)have received increased attention in the development of novel drugs owing to their high diversity and ***,this review article investigates the infection and replication mechanisms,including the function of the SARS-CoV-2 genome and ***,we highlighted anti-SARS-CoV-2 therapeutic intervention efforts utilizing MNPs and predicted SARS-CoV-2 inhibitor design.

关键词： SARS-CoV-2 Marine natural products Drug targets Inhibitors

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Variational data encoding and correlations in quantum-enhanced machine learning

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Chinese Physics B 2024年第9期33卷 298-306页

作者： Ming-hao Wang hua L¨u School of Physics Hubei UniversityWuhan 430062China School of Science Hubei University of TechnologyWuhan 430068China

Leveraging the extraordinary phenomena of quantum superposition and quantum correlation,quantum computing offers unprecedented potential for addressing challenges beyond the reach of classical *** paper tackles two pivotal challenges in the realm of quantum computing:firstly,the development of an effective encoding protocol for translating classical data into quantum states,a critical step for any quantum *** encoding strategies can significantly influence quantum computer ***,we address the need to counteract the inevitable noise that can hinder quantum *** primary contribution is the introduction of a novel variational data encoding method,grounded in quantum regression algorithm *** adapting the learning concept from machine learning,we render data encoding a learnable *** allowed us to study the role of quantum correlation in data *** numerical simulations of various regression tasks,we demonstrate the efficacy of our variational data encoding,particularly post-learning from instructional ***,we delve into the role of quantum correlation in enhancing task performance,especially in noisy *** findings underscore the critical role of quantum correlation in not only bolstering performance but also in mitigating noise interference,thus advancing the frontier of quantum computing.

关键词： quantum machine learning variational data encoding quantum correlation

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Atomistic Investigation of Shock-Induced Amorphization within Micro-shear Bands in hexagonal Close-Packed Titanium

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Acta Metallurgica Sinica(English Letters) 2024年第9期37卷 1590-1600页

作者： Z.C.Meng K.g.Wang T.Ali D.Li C.g.Bai D.S.Xu S.J.Li A.h.Feng g.J.Cao J.h.Yao Q.B.Fan h.Wang R.Yang Institute of Metal Research Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Interdisciplinary Centre for Additive Manufacturing(ICAM) School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai 200093China School of Materials Science and Engineering Tongji UniversityShanghai 201804China Key Laboratory for Light-Weight Materials Nanjing Tech UniversityNanjing 210009China National Key Laboratory of Science and Technology on Materials under Shock and Impact School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401135China

The mechanical response of a single crystal titanium sample against(0001)α surface impact was investigated using molecular dynamics ***,non-uniform plastic deformation was observed in the *** high strain rates,amorphization occurred near the edge of the contact region where severe shear strain induced a large number of stacking faults(SFs)and *** contrast,the central part of the contact region underwent less deformation with significantly fewer ***,instead of amorphization by consuming SFs and dislocations,there was a gradual increase in the density of dislocations and SFs during the process of *** local amorphous regions eventually grew into shear bands.

关键词： Shock compression Amorphization Shear band Titanium Molecular dynamics

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Fuzzy and IRLNC-based routing approach to improve data storage and system reliability in IoT

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Intelligent and Converged Networks 2024年第1期5卷 68-80页

作者： u.Indumathi A.R.Arunachalam the Department of Computer Science and Engineering Dr.M.G.R.Educational and Research InstituteChennai 600095India

Internet of Things(IoT)based sensor network is largely utilized in various field for transmitting huge amount of data due to their ease and cheaper *** performing this entire process,there is a high possibility for data corruption in the mid of *** the other hand,the network performance is also affected due to various *** address these issues,an efficient algorithm that jointly offers improved data storage and reliable routing is ***,after the deployment of sensor nodes,the election of the storage node is achieved based on a fuzzy expert *** Random Linear Network Coding(IRLNC)is used to create an encoded *** encoded packet from the source and neighboring nodes is transmitted to the storage ***,to transmit the encoded packet from the storage node to the destination shortest path is found using the Destination Sequenced Distance Vector(DSDV)*** analysis of the proposed work is carried out by evaluating some of the statistical *** residual energy,packet delivery ratio,compression ratio and storage time achieved for the proposed work are 8.8%,0.92%,0.82%,and 69 *** on this analysis,it is revealed that better data storage system and system reliability is attained using this proposed work.

关键词： Internet of Things(IoT) data storage management fuzzy system improved random linear network coding energy utilization system reliability

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