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Role of human nucleoside transporters in pancreatic cancer and chemoresistance

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World Journal of Gastroenterology 2021年第40期27卷 6844-6860页

作者： Carly Jade Carter Ahmed h Mekkawy david L Morris hepatobiliary and Surgical Oncology Unit Department of SurgerySt George HospitalUniversity of New South WalesSydney 2217New South WalesAustralia Mucpharm Pty Ltd Australia

The prognosis of pancreatic cancer is poor with the overall 5-year survival rate of less than 5%changing minimally over the past decades and future projections predicting it developing into the second leading cause of cancer related mortality within the next *** into the mechanisms of pancreatic cancer development,progression and acquired chemoresistance have been constant for the past few decades,thus resulting in the identification of human nucleoside transporters and factors affecting cytotoxic uptake via said *** review summaries the aberrant expression and role of human nucleoside transports in pancreatic cancer,more specifically human equilibrative nucleoside transporter 1/2(hENT1,hENT2),and human concentrative nucleoside transporter 1/3(hCNT1,hCNT3),while briefly discussing the connection and importance between these nucleoside transporters and mucins that have also been identified as being aberrantly expressed in pancreatic *** review also discusses the incidence,current diagnostic techniques as well as the current therapeutic treatments for pancreatic ***,we address the importance of chemoresistance in nucleoside analogue drugs,in particular,gemcitabine and we discuss prospective therapeutic treatments and strategies for overcoming acquired chemoresistance in pancreatic cancer by the enhancement of human nucleoside transporters as well as the potential targeting of mucins using a combination of mucolytic compounds with cytotoxic agents.

关键词： Pancreatic cancer Gemcitabine human nucleoside transporters human equilibrative nucleoside transporters human concentrative nucleotide transporters Mucins

Transrectal EUS-guided FNA biopsy of a presacral chordoma-report of a case and review of the literature

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World Journal of Gastroenterology 2008年第16期14卷 2586-2589页

作者： Klaus Gottlieb Paul h Lin david M Liu Karl Anders Endoscopic Ultrasound and Interventional Endoscopy Spokane WA 99202 United States Surgical Specialists of Spokane Spokane WA 99202 United States Inland Imaging Spokane WA 99202 United States Deaconess Pathology Spokane WA 99202 United States

Chordomas are rare tumors which originate from the remnants of the notochord. These tumors are locally aggressive and have a predilection for the ends of the axial skeleton. An important prerequisite for optimal management of these tumors is a correct preoperative diagnosis. The present case is the first report of the use of endoscopic ultrasound to obtain transrectal fine needle aspiration biopsy of a presacral chordoma. A review of the prior computer tomography (CT) scans allowed us to calculate the tumor volume doubling time (18.3 mo). Transrectal biopsy of chordomas is controversial, however we believe that such concerns are not justified.

关键词： Chordoma Endoscopic ultrasound Spinaltumors Trans-rectal biopsies

The elphbolt ab initio solver for the coupled electron-phonon Boltzmann transport equations

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npj Computational Materials 2022年第1期8卷 236-244页

作者： Nakib h.Protik Chunhua Li Miguel Pruneda david Broido Pablo Ordejón Catalan Institute of Nanoscience and Nanotechnology(ICN2) CSIC and BISTCampus Bellaterra8193BarcelonaSpain Department of Physics Boston CollegeChestnut HillBostonMA02467USA

elphbolt is a modern Fortran (2018 standard) code for efficiently solving the coupled electron–phonon Boltzmann transport equations from first *** results from density functional and density functional perturbation theory as inputs,it can calculate the effect of the non-equilibrium phonons on the electronic transport (phonon drag) and non-equilibrium electrons on the phononic transport (electron drag) in a fully self-consistent manner and obeying the constraints mandated by *** can calculate the lattice,charge,and thermoelectric transport coefficients for the temperature gradient and electric fields,and the effect of the mutual electron–phonon drag on these transport *** code fully exploits the symmetries of the crystal and the transport-active window to allow the sampling of extremely fine electron and phonon wave vector meshes required for accurately capturing the drag *** coarray feature of modern Fortran,which offers native and convenient support for parallelization,is *** code is compact,readable,well-documented,and extensible by design.

关键词： properties phonon equations

A new modeling approach of pressure waves at the inlet of internal combustion engines

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Journal of Thermal Science 2011年第2期20卷 181-188页

作者： david Chalet Alexandre Mahé Jean-Franois hétet Jérme Migaud Internal Combustion Engine Team Laboratory of Fluid Mechanics UMR CNRS 6598 Ecole Centrale de Nantes Advanced development Mann+Hummel France

This paper presents a new model used to describe the propagation of pressure waves at the inlet systems of internal combustion engine. In the first part, an analogy is made between the compressible air in a pipe and a mechanical ideal mass damper spring system. A new model is then presented and the parameters of this model are determined by the use of an experimental setup (shock tube test bench). With this model, a transfer function is defined in order to link directly the pressure and the air mass flow rate. In the second part, the model is included into an internal combustion engine simulation code. The results obtained with this code are compared to experimental ones which are measured on a one-cylinder engine test bench. This last one is driven by an electric motor in order to study only the effect of the pressure waves on the engine behavior. A good agreement is obtained between the experimental results and the numerical ones and the new approach is an alternative method for modeling the pressure wave phenomena in an internal combustion engine manifold.

关键词： gas dynamics pressure wave compressible flow frequency analysis transfer function internal combustion engine

Monitoring Competition Jump Load in Division I Female Collegiate Volleyball Athletes

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Journal of Science in Sport and Exercise 2022年第3期4卷 221-230页

作者： Chad h.herring david h.Fukuda Physiology of Work and Exercise Response(POWER)Laboratory Institute of Exercise Physiology and Rehabilitation ScienceUniversity of Central FloridaOrlandoUSA Division of Kinesiology School of Kinesiology and Physical TherapyUniversity of Central Florida12494 University BoulevardOrlandoFL 32816USA

Aim Tracking competition jump data provides a practical approach for assessing external load in *** The purpose of this study was to analyze competition jump load in collegiate volleyball *** Data from nine National Collegiate Athletic Association(NCAA)Division I female volleyball players from the 2018 and 2019 competitive seasons were *** were individually assigned,time-stamped,and recorded for *** count and rate overall and at low,moderate,high,and maximal intensities were ***-way ANOVAs were used to assess the variance in mean jump height from all jumps(hT_(all))and top five jump heights from each match(hTtop5)across positions(middle blocker *** hitter ***-side hitter),timepoint in season(early ***),match length(3-vs.4-vs.5-set match),and Friday/Sunday matches and two-way ANOVAs were used to analyze jump count and rate differences across *** Significant differences in hTall and hTtop5 across positions(Ph length(Ph length(PhTall or hTtop5 based on timepoint(P>0.05),hTall,hTtop5,or jump rate by match length(P>0.05),or hTall,hTtop5,jump count,or jump rate between Friday/Sunday matches(P>0.05).Conclusion Significant differences in competition jump height and load exist in NCAA Division I female volleyball *** load alterations during training sessions may be warranted to maximize athlete readiness and performance.

关键词： Injury prevention Measurement Overtraining Performance Team sport

Recent advances towards single biomolecule level understanding of protein adsorption phenomena unique to nanoscale polymer surfaces with chemical variations

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Nano Research 2020年第5期13卷 1295-1317页

作者： david h.Cho Tian Xie Johnson Truong Andrew C.Stoner Jong-in hahm Department of Chemistry Georgetown University37th&O Sts.NW.WashingtonDC 20057USA

Protein adsorption onto polymer surfaces is a very complex and ubiquitous phenomenon whose integrated process impacts essential applications in our daily lives such as food packaging materials,health devices,diagnostic tools,and medical ***,novel polymer materials with greater chemical intricacy and reduced dimensionality are used for various applications involving adsorbed proteins on their ***,the nature of protein-surface interactions to consider is becoming much more complicated than before.A large body of literature exists for protein ***,most of these investigations have focused on collectively measured,ensemble-averaged protein behaviors that occur on macroscale and chemically unvarying polymer surfaces instead of direct measurements at the single protein or sub-protein *** addition,interrogations of protein-polymer adsorption boundaries in these studies were typically carried out by indirect methods,whose insights may not be suitably applied for explaining individual protein adsorption processes occurring onto nanostructured,chemically varying polymer ***,an important gap in our knowledge still exists that needs to be systematically addressed via direct measurement means at the single protein and sub-protein *** efforts will require multifaceted experimental and theoretical approaches that can probe multilength scales of protein adsorption,while encompassing both single proteins and their collective ensemble behaviors at the length scale spanning from the nanoscopic all the way to the macroscopic *** this review,key research achievements in nanoscale protein adsorption to date will be ***,protein adsorption studies involving polymer surfaces with their defining feature dimensions and associated chemical partitions comparable to the size of individual proteins will be discussed in *** this regard,recent works bridging the crucial knowledge gap in protein adso

关键词： nanoscale protein adsorption nanoscale protein assembly protein self-assembly on polymer protein nanopatterning protein-nanosurface interaction

Machine learning in geosciences and remote sensing

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Geoscience Frontiers 2016年第1期7卷 3-10页

作者： david J.Lary Amir h.Alavi Amir h.Gandomi Annette L.Walker hanson Center for Space Science University of Texas at Dallas Department of Civil and Environmental Engineering Michigan State University BEACON Center for the Study of Evolution in Action Michigan State University Aerosol and Radiation Section Naval Research Laboratory

Learning incorporates a broad range of complex procedures. Machine learning（ML） is a subdivision of artificial intelligence based on the biological learning process. The ML approach deals with the design of algorithms to learn from machine readable data. ML covers main domains such as data mining, difficultto-program applications, and software applications. It is a collection of a variety of algorithms（e.g. neural networks, support vector machines, self-organizing map, decision trees, random forests, case-based reasoning, genetic programming, etc.） that can provide multivariate, nonlinear, nonparametric regression or classification. The modeling capabilities of the ML-based methods have resulted in their extensive applications in science and engineering. herein, the role of ML as an effective approach for solving problems in geosciences and remote sensing will be highlighted. The unique features of some of the ML techniques will be outlined with a specific attention to genetic programming paradigm. Furthermore,nonparametric regression and classification illustrative examples are presented to demonstrate the efficiency of ML for tackling the geosciences and remote sensing problems.

关键词： Machine learning Geosciences Remote sensing Regression Classification

Progress of machine learning in geosciences:Preface

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Geoscience Frontiers 2016年第1期7卷 1-2页

作者： Amir h.Alavi Amir h.Gandomi david J.Lary Department of Civil and Environmental Engineering Michigan State University BEACON Center for the Study of Evolution in Action Michigan State University hanson Center for Space Science University of Texas at Dallas

In the past two decades, artificial intelligence （AI） algorithms have proved to be promising tools for solving several tough scientific problems, As a broad subfield of AI, machine learning is concerned with algorithms and techniques that allow computers to ＂learn＂. The machine learning approach covers main domains such as data mining, difficult-to-program applications, and soft- ware applications. It is a collection of a variety of algorithms that can provide multivariate, nonlinear, nonparametric regression or classification. The remarkable simulation capabilities of the ma- chine learning-based methods have resulted in their extensive ap- plications in science and engineering. Recently, the machine learning techniques have found many applications in the geoscien- ces and remote sensing. More specifically, these techniques are proved to be practical for cases where the system＇s deterministic model is computationally expensive or there is no deterministic model to solve the problem （Lary, 2010）.

关键词： Progress of machine learning in geosciences BPNN

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ThE ROBOT FARM

中国科技翻译 1999年第2期12卷 62-64页

作者： david h.Freedman

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关键词：群机器人杰斐逊指令组合繁衍双亲生物体夹钳程序交配再生