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continuous Expression of Interferon Regulatory Factor 4 Sustains cD8^(+)T cell Immunity against Tumor

Research 2024年第3期2023卷 433-444页

作者： Anze Yu Jinfei Fu Zheng Yin Hui Yan Xiang Xiao Dawei Zou Xiaolong Zhang Xiongbing Zu Xian c.Li Wenhao chen Immunobiology and Transplant Science center Department of SurgeryHouston Methodist Research Institute and Institute for Academic MedicineHouston Methodist HospitalHoustonTXUSA Department of Urology First Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdongChina Systems Medicine and Bioengineering Department Houston Methodist Neal Cancer CenterHoustonTXUSA Department of Radiology Houston Methodist HospitalWeill Cornell MedicineHoustonTXUSA Department of Urology Xiangya HospitalCentral South UniversityChangshaHunanChina Department of Surgery Weill Cornell MedicineCornell UniversityNew YorkNYUSA.

T-cell-based immunotherapy is gaining momentum in cancer treatment;however,our comprehension of the transcriptional regulation governing T cell antitumor activity remains *** objective of this study was to explore the function of interferon regulatory factor 4(IRF4)in antitumor cD8^(+)T cells using the TRAMP-c1 prostate cancer and B16F10 melanoma *** achieve this,we generated an Irf4^(GFP-DTR) mouse strain and discovered that cD8^(+)tumor-infiltrating lymphocytes(TILs)expressing high levels of *** exhibited a more differentiated PD-1high cell *** administering diphtheria toxin to tumor-bearing Irf4^(GFP-DTR) mice,we partially depleted ***^(+)TILs and observed an accelerated tumor *** specifically explore the function of IRF4 in antitumor cD8^(+)T cells,we conducted 3 adoptive cell therapy(AcT)***,depleting ***^(+)cD8^(+)TILs derived from AcT significantly accelerated tumor growth,emphasizing their crucial role in controlling tumor ***,deleting the Irf4 gene in antitumor cD8^(+)T cells used for AcT led to a reduction in the frequency and effector differentiation of cD8^(+)TILs,completely abolishing the antitumor effects of ***,we performed a temporal deletion of the Irf4 gene in antitumor cD8^(+)T cells during AcT,starting from 20 days after tumor implantation,which significantly compromised tumor ***,sustained expression of IRF4 is essential for maintaining cD8^(+)T cell immunity in the melanoma model,and these findings carry noteworthy implications for the advancement of more potent immunotherapies for solid tumors.

关键词： sustained immunity implantation

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Radiative heat transfer analysis of a concave porous fin under the local thermal non-equilibrium condition:application of the clique polynomial method and physics-informed neural networks

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Applied Mathematics and Mechanics(English Edition) 2024年第9期45卷 1613-1632页

作者： K.cHANDAN K.KARTHIK K.V.NAGARAJA B.c.PRASANNAKUMARA R.S.VARUN KUMAR T.MUHAMMAD Amrita School of Artificial Intelligence Amrita Vishwa VidyapeethamBengaluru 560035KarnatakaIndia Department of Studies in Mathematics Davangere UniversityDavangere 577002KarnatakaIndia computational Science Lab Amrita School of EngineeringAmrita Vishwa VidyapeethamBengaluru 560035KarnatakaIndia Department of Pure and Applied Mathematics School of Mathematical SciencesSunway UniversityPetaling Jaya 47500Malaysia Department of Mathematics College of ScienceKing Khalid UniversityAbha 61413Saudi Arabia

The heat transfer through a concave permeable fin is analyzed by the local thermal non-equilibrium(LTNE)*** governing dimensional temperature equations for the solid and fluid phases of the porous extended surface are modeled,and then are nondimensionalized by suitable dimensionless ***,the obtained nondimensional equations are solved by the clique polynomial method(cPM).The effects of several dimensionless parameters on the fin's thermal profiles are shown by graphical ***,the current study implements deep neural structures to solve physics-governed coupled equations,and the best-suited hyperparameters are attained by comparison with various network *** results of the cPM and physicsinformed neural network(PINN)exhibit good agreement,signifying that both methods effectively solve the thermal modeling problem.

关键词： heat transfer fin porous fin local thermal non-equilibrium(LTNE)model physics-informed neural network(PINN)

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Effect of Nano-sized B4c Addition on the Mechanical Properties of ZA27 composites

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Journal of Wuhan University of Technology(Materials Science) 2017年第4期32卷 747-752页

作者： R.Dalmis H.cuvalci A.canakci O.guler Dokuz Eylul University Faculty of Engineering Dept. of Metallurgical and Materials Engineering Tinaztepe Campus 35397 Buca - Izmir / Turkey Department of Metallurgical and Materials Engineering Engineering Faculty Karadeniz Technical University Trabzon Turkey Abdullah Kanca Vocational School of Higher Education Karadeniz Technical University Trabzon Turkey

In order to understand the influence of nano-sized B4c additive on ZA27 alloy, mechanical and physical properties of ZA27-B4c nanocomposites were investigated in terms of B4c content. While physical properties were determined in terms of microstructural studies, density and porosity tests, mechanical properties were determined in terms of ultimate tensile strength（UTS） and hardness experiments. Morphological and microstructural studies were carried out with scanning electron microscopy（SEM）. The experimental results indicate that nano-sized B4c can be used to enhance the mechanical properties of ZA27 alloy effectively. The highest mechanical performance can be obtained at ZA27-0.5% B4c（in weight） nanocomposite with values of tensile strength（247 MPa） and hardness（141,18 BH） and low partial porosity（0.5%）. After a pick point, increasing B4c ratio may cause the formation of agglomeration in grain boundaries, that＇s why density, tensile strength, and hardness values are declined.

关键词： metal matrix nanocomposite ZA27 alloy hot pressing powder metallurgy

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Deformable microlaser force sensing

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Light(Science & Applications) 2024年第6期13卷 1196-1209页

作者： Eleni Dalaka Joseph SHill Jonathan H.H.Booth Anna Popczyk Stefan R.Pulver Malte c.Gather Marcel Schubert centre of Biophotonics SUPASchool of Physics and AstronomyUniversity of St AndrewsNorth HaughSt AndrewsUK Humboldt centre for Nano-and Biophotonics Department of ChemistryUniversity of CologneKölnGermany School of Psychology and Neuroscience University of St AndrewsSt Mary’s QuadSouth StreetSt AndrewsUK Institute for Bioengineering of catalonia BarcelonaSpain

Mechanical forces are key regulators of cellular behavior and function,affecting many fundamental biological processes such as cell migration,embryogenesis,immunological responses,and pathological *** force sensors and imaging techniques have been developed to quantify these otherwise invisible forces in single cells and in ***,current techniques rely heavily on high-resolution microscopy and do not allow interrogation of optically dense tissue,reducing their application to 2D cell cultures and highly transparent biological ***,we introduce DEFORM,deformable microlaser force sensing,a spectroscopic technique that detects sub-nanonewton forces with unprecedented spatio-temporal *** is based on the spectral analysis of laser emission from dye-doped oil microdroplets and uses the force-induced lifting of laser mode degeneracy in these droplets to detect nanometer *** validation by atomic force microscopy and development of a model that links changes in laser spectrum to applied force,DEFORM is used to measure forces in 3D and at depths of hundreds of microns within tumor spheroids and late-stage Drosophila *** furthermore show continuous force sensing with single-cell spatial and millisecond temporal resolution,thus paving the way for non-invasive studies of biomechanical forces in advanced stages of embryogenesis,tissue remodeling,and tumor invasion.

关键词： invasion otherwise hundreds

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The value of the INFEcTIONS scoring system in identifying bacterial infections among patients presenting at the emergency department of a middle-income country:A pilot study

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chinese Journal of Traumatology 2024年第2期27卷 77-82页

作者： Dooshanveer c.Nuckchady Department of Internal Medicine Victoria HospitalCandosMauritius

Purpose:To investigate which scoring system is the most accurate tool in predicting mortality among the infected patients who present to the emergency department in a middle-income country,and to validate a new scoring system to predict bacterial ***:This was a retrospective,single-center study among patients who were admitted via the emergency department of a public *** patients who were started on antibiotics were included in the study,while patients agedcollected includeding patients'demographics,vital signs and basic laboratory parameters like white blood cell count and *** sensitivity and specificity of different scoring systems were calculated as well as their negative and positive predictive *** regression was used to derive a novel early warning system for bacterial *** area under the receiver operating characteristic(AUROc)was computed for each scoring ***:In total,109 patients were included in this *** quick sequential organ failure assessment(qSOFA),search out severity and rapid acute physiology score had the highest AUROc(≥0.89)for predicting mortality,while qSOFA and universal vital assessment were the simplest scoring systems with an AUROc>0.85;however,these scoring systems failed to predict whether patients were truly *** INFEcTIONS(short for impaired mental status,not conscious,fast heart rate,elevated creatinine,high temperature,on inotrope,low oxygen,high neutrophils and high sugar)model reached an AUROc of 0.88 to more accurately predict the infectious state of a ***:Middle-income countries should use the qSOFA or universal vital assessment score to identify the sickest patients in emergency *** INFEcTIONS score may help recognize patients with bacterial infections,but it should be further validated in multiple countries prior to widely use.

关键词： Prognosis Mortality Bacterial infection INFEcTIONS scoring system Sequential organ failure assessment Prediction

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Multiple sclerosis is at a checkpoint: advancing the program

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Neural Regeneration Research 2025年第3期20卷 811-812页

作者： Brandon c.Smith Jessica L.Williams Department of Neurosciences Lerner Research InstituteCleveland ClinicClevelandOHUSA Department of Biological Geologicaland Environmental SciencesCleveland State UniversityClevelandOHUSA

Multiple sclerosis(MS) is a chronic inflammatory and demyelinating disease of the central nervous system(cNS). Patients with MS experience sensory and motor function loss due to myelin and/or axon damage perpetuated b... 详细信息

关键词： Hauser sclerosis damage

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Reviewing 40 years of artificial intelligence applied to power systems-A taxonomic perspective

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Energy and AI 2024年第1期15卷 136-150页

作者： F.Heymann H.Quest T.Lopez Garcia c.Ballif M.Galus Swiss Federal Office for Energy(SFOE) Section Geoinformation and Digital InnovationIttigenSwitzerland Ecole Polytechnique Fédérale de Lausanne(EPFL) Photovoltaics and Thin-Film Electronics Laboratory(PV-LAB)Institute of Electrical and Micro Engineering(IEM)NeuchâtelSwitzerland 3S Swiss Solar Solutions AG ThunSwitzerland Swiss center for Electronics and Microtechnology(cSEM) Sustainable Energy CenterNeuchâtelSwitzerland Digital Energy and Electric Power Lucerne University of Applied Sciences and ArtsLucerneSwitzerland

Artificial intelligence(AI)as a multi-purpose technology is gaining increased attention and is now widely used across all sectors of the *** growing complexity of planning and operating power systems makes AI extremely valuable for the power *** now,there has been a lack of clarity regarding the specific points along the power system supply chain where AI applications demonstrate significant value,as well as which AI domains are best suited for such *** study employs an AI taxonomy and automated web search to qualitatively and quantitatively unveil the biggest potentials of AI in the power *** analysis,based on a review of 258’919 publications between 1982 and 2022,reveals where AI applications are particularly *** consider six AI domains(reasoning,planning,learning,communication,perception,integration&interaction)and 19 use cases from the power supply chain(i.e.,generation,transmission networks,distribution networks,isolated grids/microgrids,market operations and retail).Our findings indicate that,as of now,the focus is predominantly on AI applications in power retail(55%),transmission(14%)and generation(13%).Most analyzed works describe applications built on algorithms of the AI domains“learning”(45%)and“planning”(14%).Results also suggest that the current definition of AI domains is ambiguous,and they highlight missing information on the actual use and successful implementation of AI in power system use cases.

关键词： Artificial intelligence Power systems Electricity Taxonomy Policy

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A modular microfluidic platform to study how fluid shear stress alters estrogen receptor phenotype in ER+breast cancer cells

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Microsystems & Nanoengineering 2024年第1期10卷 287-299页

作者： Braulio Andrés Ortega Quesada Jonathan cuccia Rachael coates Blake Nassar Ethan Littlefield Elizabeth c.Martin Adam T.Melvin cain Department of chemical Engineering Louisiana State UniversityBaton RougeLA 70803USA Department of chemical and Biological Engineering Clemson UniversityClemsonSC 29634USA Biological and Agricultural Engineering Louisiana State UniversityBaton RougeLA 70803USA Department Medicine Section Hematology and Medical OncologyTulane UniversityNew OrleansLA 70118USA

Metastatic breast cancer leads to poor prognoses and worse outcomes in patients due to its invasive behavior and poor response to *** is still unclear what biophysical and biochemical factors drive this more aggressive phenotype in metastatic cancer;however recent studies have suggested that exposure to fluid shear stress in the vasculature could cause *** this study a modular microfluidic platform capable of mimicking the magnitude of fluid shear stress(FSS)found in human vasculature was designed and *** device provides a platform to evaluate the effects of FSS on McF-7 cell line,an estrogen receptor positive(ER+)breast cancer cell line,during circulation in the *** of the effects of FSS on McF-7 cells was carried out utilizing two approaches:single cell analysis and bulk *** single cell analysis,cells were trapped in a microarray after exiting the serpentine channel and followed by immunostaining on the device(on-chip).Bulk analysis was performed after cells were collected in a microtube at the outlet of the microfluidic serpentine channel for western blotting(off-chip).It was found that cells exposed to an FSS magnitude of 10 dyn/cm^(2) with a residence time of 60 s enhanced expression of the proliferation marker Ki67 in the McF-7 cell line at a single cell *** understand possible mechanisms for enhanced Ki67 expression,on-chip and off-chip analyses were performed for pro-growth and survival pathways ERK,AKT,and JAK/*** demonstrated that after shearing the cells phosphorylation of p-AKT,p-mTOR,and p-STAT3 were ***,there was no change in p-ERK1/*** is a mediator of ER rapid signaling,analysis of phosphorylated ERαwas carried out and no significant differences between sheared and non-sheared populations were *** together these results demonstrate that FSS can increase phosphorylation of proteins associated with a more aggressive phenotype in circulating cancer *** findin

关键词： fluid breast estrogen

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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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A Secure Framework for WSN-IoT Using Deep Learning for Enhanced Intrusion Detection

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computers, Materials and continua 2024年第1期81卷 471-501页

作者： Kumar c.O. Gajendran S. Marappan S. Zakariah M. Almazyad A.S. School of computer Science & Engineering Vellore Institute of Technology Chennai Campus Chennai 600127 India School of Electronics & Engineering Vellore Institute of Technology Chennai Campus Chennai 600127 India Department of computer Sciences and Engineering College of Applied Science King Saud University Riyadh 11543 Saudi Arabia Department of computer Engineering College of Computer and Information Sciences King Saud University Riyadh 11543 Saudi Arabia

The security of the wireless sensor network-Internet of Things (WSN-IoT) network is more challenging due to its randomness and self-organized nature. Intrusion detection is one of the key methodologies utilized to ensure the security of the network. conventional intrusion detection mechanisms have issues such as higher misclassification rates, increased model complexity, insignificant feature extraction, increased training time, increased run time complexity, computation overhead, failure to identify new attacks, increased energy consumption, and a variety of other factors that limit the performance of the intrusion system model. In this research a security framework for WSN-IoT, through a deep learning technique is introduced using Modified Fuzzy-Adaptive DenseNet (MF_AdaDenseNet) and is benchmarked with datasets like NSL-KDD, UNSWNB15, cIDDS-001, Edge IIoT, Bot IoT. In this, the optimal feature selection using capturing Dingo Optimization (cDO) is devised to acquire relevant features by removing redundant features. The proposed MF_AdaDenseNet intrusion detection model offers significant benefits by utilizing optimal feature selection with the cDO algorithm. This results in enhanced Detection capacity with minimal computation complexity, as well as a reduction in False Alarm Rate (FAR) due to the consideration of classification error in the fitness estimation. As a result, the combined cDO-based feature selection and MF_AdaDenseNet intrusion detection mechanism outperform other state-of-the-art techniques, achieving maximal Detection capacity, precision, recall, and F-Measure of 99.46%, 99.54%, 99.91%, and 99.68%, respectively, along with minimal FAR and Mean Absolute Error (MAE) of 0.9% and 0.11. © 2024 The Authors.

关键词： accuracy Deep learning false alarm rate feature selection fuzzy rules intrusion detection wireless sensor networks

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