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Hawking radiation and page curves of the black holes in thermal environment

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Communications in Theoretical Physics 2021年第7期73卷 106-114页

作者： Ran Li Jin Wang School of Physics Henan Normal UniversityXinxiang 453007China department of chemistry SUNYStony BrookNY 11794United States of America department of chemistry and of Physics and Astronomy State University of New York at Stony BrookStony BrookNY 11794-3400United States of America

As realistic objects in the Universe,the black holes are surrounded by complex *** taking the effect of thermal environment into account,we investigate the evaporation process and the time evolutions(page curves)of the entanglement entropies of Hawking radiation of various types of black *** is found that the black holes with the thermal environments evaporate slower than those without the environments due to the environmental contribution of the energy flux in addition to Hawking *** Schwarzschild black hole and Reissner-Nordstr?m black hole in flat spaces,when the initial temperature of the black hole is higher than the environment temperature,the black holes evaporate completely and the Hawking radiation is eventually *** Schwarzschild-Ad S black hole,it will evaporate completely and the Hawking radiation is purified when the environment temperature is lower than the critical ***,it will reach an equilibrium state with the environment and the radiation is maximally entangled with the black *** results indicate that the final state of the black hole is determined by the environmental temperature and the temporal evolution and the speed of the information purification process characterized by the page curve of the Hawking radiation is also influenced by the thermal environment significantly.

关键词： Hawking radiation page curve black hole thermal environment entanglement entropy

Advancements in microRNA based cancer therapeutics

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临床检验杂志 2014年第1期32卷 1-8页

作者： Andrew FESLER Jingfang JU department of Pathology Stony Brook MedicineStony Brook University

Research efforts on non-coding RNAs have grown exponentially in the past *** are now beginning to witness the achievements that have been made in better understanding the roles of miRNAs in human diseases such as cancer and cardiovascular *** show great promise as biomarkers for cancer diagnosis and *** addition,miRNAs,due to their critical function as either oncogenes or tumor suppressor genes and their broad impact on target genes and pathways,have great potential as therapeutic agents for novel cancer drug *** miRNA molecules and mimics are getting close to clinical *** this review,we summarize and highlight some of the important findings relating to miRNA and anticancer therapeutic development.

关键词： microRNA therapeutics cancer stem cell resistance

Hyaluronic acid and its biomedical applications:A review

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Engineered Regeneration 2020年第1期1卷 102-113页

作者： Matthew Dovedytis Zhuo Jie Liu Samuel Bartlett department of Biomedical Engineering Stony Brook UniversityStony BrookNew York 11794United States

Hyaluronic acid is a naturally occurring biopolymer possessing numerous functions within the body including wound repair,cell migration,and cell *** to its versatility,hyaluronic acid has been a major component of biomedical research and has seen application in several fields such as tissue engineering and cancer treatments through a multitude of different *** review aims to outline hyaluronic acid’s role in the healing process while focusing on its myriad of forms and applications in the biomedical world.

关键词： Hyaluronic acid Wound healing Hydrogel Tissue engineering Regenerative medicine

Nanofabrication in Polymer Solutions

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应用化学 2001年第5期18卷 259-266页

作者： Tianbo LIU Li Zhi LIU Benjamin CHU department of chemistry State University of New York at Stony BrookStony BrookNY 117903400USA

This review covers recent advances in fabrication of nanomaterials in polymer solutions with emphasis on using the self assembled amphiphilic block copolymers in solution to fabricate organic/inorganic composites with nanoscale modifications. The phase behavior of block copolymers in water and the use of templates to form ordered nanostructures are reviewed in detail. Modern physical techniques for nanoscale characterization are also introduced. The authors suggested that this approach should provide new routes to create materials with interesting morphologies for many different applications.

关键词：聚合物溶液纳米技术胶束纳米结构

Two fully automated data-driven 3D whole-breast segmentation strategies in MRI for MR-based breast density using image registration and U-Net with a focus on reproducibility

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Visual Computing for Industry,Biomedicine,and Art 2022年第1期5卷 303-314页

作者： Jia Ying Renee Cattell Tianyun Zhao Lan Lei Zhao Jiang Shahid M.Hussain Yi Gao H‑H.Sherry Chow Alison T.Stopeck Patricia A.Thompson Chuan Huang department of Biomedical Engineering Stony Brook UniversityStony BrookNY 11794USA department of Radiation Oncology Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794USA department of Medicine Northside Hospital GwinnettLawrencevilleGA 30046USA Program of Public Health Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794USA department of Radiology Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794USA department of Biomedical Informatics Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794USA School of Biomedical Engineering Health Science CenterShenzhen UniversityShenzhen 518060China university of Arizona Cancer Center TucsonAZ 85719USA department of Medicine Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794USA stony brook Cancer Center Stony Brook UniversityStony BrookNY 11794USA department of Medicine Cedar Sinai CancerCedars Sinai Medical CenterLos AngelesCA 90048USA

Presence of higher breast density(BD)and persistence over time are risk factors for breast cancer.A quantitatively accurate and highly reproducible BD measure that relies on precise and reproducible whole-breast segmentation is *** this study,we aimed to develop a highly reproducible and accurate whole-breast segmentation algorithm for the generation of reproducible BD *** datasets of volunteers from two clinical trials were *** MR images were acquired on 3T Siemens Biograph mMR,Prisma,and Skyra using 3D Cartesian six-echo GRE sequences with a fat-water separation *** whole-breast segmentation strategies,utiliz-ing image registration and 3D U-Net,were *** segmentation was performed.A task-based analysis was performed:a previously developed MR-based BD measure,MagDensity,was calculated and assessed using automated and manual *** mean squared error(MSE)and intraclass correlation coefficient(ICC)between MagDensity were evaluated using the manual segmentation as a *** test-retest reproducibility of MagDensity derived from different breast segmentation methods was assessed using the difference between the test and retest measures(Δ_(2-1)),MSE,and *** results showed that MagDensity derived by the registration and deep learning segmentation methods exhibited high concordance with manual segmentation,with ICCs of 0.986(95%CI:0.974-0.993)and 0.983(95%CI:0.961-0.992),*** test-retest analysis,MagDensity derived using the regis-tration algorithm achieved the smallest MSE of 0.370 and highest ICC of 0.993(95%CI:0.982-0.997)when compared to other segmentation *** conclusion,the proposed registration and deep learning whole-breast segmentation methods are accurate and reliable for estimating *** methods outperformed a previously developed algorithm and manual segmentation in the test-retest assessment,with the registration exhibiting superior performance for highly reproducibl

关键词： Breast cancer Breast density Breast segmentation Image registration Deep learning

PETG:Applications in Modern Medicine

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Engineered Regeneration 2024年第1期5卷 45-55页

作者： Catherine Yan Corinne Kleiner Aaron Tabigue Veer Shah Gregory Sacks Darshi Shah Vincent DeStefano Renaissance School of Medicine at stony brook university Stony BrookNYUSA department of Biology Niagara UniversityLewistonNYUSA stony brook university Stony BrookNYUSA department of Mechanical and Industrial Engineering Northeastern UniversityBostonMAUSA

Polyethylene terephthalate glycol,PETG,is a miscible,transparent thermoplastic known to have strong tensile properties,high ductility,as well as resistance to heat and chemical *** may be manufactured in several ways,most notably 3D printing *** such,PETG has emerged as a viable biomaterial for a variety of medical applications such as tissue engineering,dentistry,optometry,vascular health,cardiology,orthopedics,neurology,gynecology,and *** also serves a valuable role in biomedical research and engineering by offering improvements in cell studies,drug carriers,and anti-bacterial *** medical research and innovation utilizing PETG will better characterize its value as an inexpensive and versatile biomaterial.

关键词： Polyethylene terephthalate glycol Tissue Engineering 3D Printing Clinical Applications Biomedical Research

Impact of preoperative antibiotics and other variables on integrated microbiome-host transcriptomic data generated from colorectal cancer resections

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World Journal of Gastroenterology 2021年第14期27卷 1465-1482页

作者： Sarah A Malik Chencan Zhu Jinyu Li Joseph F LaComb Paula I Denoya Igor Kravets Joshua D Miller Jie Yang Melissa Kramer W Richard McCombie Charles E Robertson Daniel N Frank Ellen Li department of Medicine Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794United States department of Applied Mathematics and Statistics Stony Brook UniversityStony BrookNY 11794United States stony brook Cancer Center Biostatistics and Bioinformatics Shared Resource Stony Brook UniversityStony BrookNY 11794United States department of Pathology Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794United States department of Surgery Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794United States department of Family Population and Preventive MedicineStony Brook UniversityStony BrookNY 11794United States Cold Spring Harbor Laboratory Cancer Center Sequencing Technologies and Analysis Shared Resource Cold Spring HarborNY 11724United States department of Medicine University of Colorado Anschutz Medical CampusAuroraCO 80045United States

BACKGROUND Integrative multi-omic approaches have been increasingly applied to discovery and functional studies of complex human ***-term preoperative antibiotics have been adopted to reduce site infections in colorectal cancer(CRC)*** hypothesize that the antibiotics will impact analysis of multi-omic datasets generated from resection samples to investigate biological CRC risk *** To assess the impact of preoperative antibiotics and other variables on integrated microbiome and human transcriptomic data generated from archived CRC resection *** Genomic DNA(gDNA)and RNA were extracted from prospectively collected 51 pairs of frozen sporadic CRC tumor and adjacent non-tumor mucosal samples from 50 CRC patients archived at a single medical center from *** 16S rRNA gene sequencing(V3V4 region,paired end,300 bp)and confirmatory quantitative polymerase chain reaction(qPCR)assays were conducted on *** sequencing(IPE,125 bp)was performed on parallel tumor and non-tumor RNA samples with RNA Integrity Numbers scores≥*** PERMANOVA detected significant effects of tumor vs nontumor histology(P=0.002)and antibiotics(P=0.001)on microbialβ-diversity,but CRC tumor location(left vs right),diabetes mellitus vs not diabetic and Black/African Ancestry(AA)vs not Black/AA,did not reach *** mixed models detected significant tumor vs nontumor histology*antibiotics interaction terms for 14 genus level *** confirmed increased Fusobacterium abundance in tumor vs nontumor groups,and detected significantly reduced bacterial load in the(+)antibiotics *** coordinate analysis of the transcriptomic data showed a clear separation between tumor and nontumor *** expressed genes obtained from separate analyses of tumor and nontumor samples,are presented for the antibiotics,CRC location,diabetes and Black/AA race *** Recent adoption of additional preoperative antibiotics as sta

关键词： Colorectal cancer Antibiotics African Continental Ancestry Group Diabetes mellitus 16S rRNA gene RNA-sequencing

Multi-scale characterizations of colon polyps via computed tomographic colonography

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Visual Computing for Industry,Biomedicine,and Art 2019年第1期2卷 245-256页

作者： Weiguo Cao Marc J.Pomeroy Yongfeng Gao Matthew A.Barish Almas F.Abbasi Perry J.Pickhardt Zhengrong Liang The department of Radiology Stony Brook UniversityStony BrookNY 11794USA The departments of Radiology and Biomedical Engineering Stony Brook UniversityStony BrookNY 11794USA The department of Radiology School of MedicineUniversity of WisconsinMadisonWI 53792USA

Texture features have played an essential role in the field of medical imaging for computer-aided *** gray-level co-occurrence matrix(GLCM)-based texture descriptor has emerged to become one of the most successful feature sets for these *** study aims to increase the potential of these features by introducing multi-scale analysis into the construction of GLCM texture *** this study,we first introduce a new parameter-stride,to explore the definition of *** we propose three multi-scaling GLCM models according to its three parameters,(1)learning model by multiple displacements,(2)learning model by multiple strides(LMS),and(3)learning model by multiple *** models increase the texture information by introducing more texture patterns and mitigate direction sparsity and dense sampling problems presented in the traditional Haralick *** further analyze the three parameters,we test the three models by performing classification on a dataset of 63 large polyp masses obtained from computed tomography colonoscopy consisting of 32 adenocarcinomas and 31 benign ***,the proposed methods are compared to several typical GLCM-texture descriptors and one deep learning *** obtains the highest performance and enhances the prediction power to 0.9450 with standard deviation 0.0285 by area under the curve of receiver operating characteristics score which is a significant improvement.

关键词： Colon cancer Computed tomographic colonography Polyp characterization Texture feature

Electrospun Nanofibrous Adsorption Membranes for Wastewater Treatment:Mechanical Strength Enhancement

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Chemical Research in Chinese Universities 2021年第3期37卷 355-365页

作者： XIN Rui MA Hongyang Shyam Venkateswaran Benjamin S.Hsiao State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing100029China department of chemistry Stony Brook UniversityStony BrookNY117943400USA

Functional nanofibrous membranes fabricated by electrospinning technology have attracted much attention in the removal of heavy metal ions from contaminated *** high specific surface area,high porosity and ease of functionality create an enhanced throughput and high adsorption capacity of the nanofibrous ***,the relatively poor mechanical properties of the membrane with a non-woven nanofibrous structure are one of the major concerns,which can limit the applications in wastewater *** strategies and methodologies were explored to address the problems and were reviewed in this work,highlighting the possibilities of overcoming the poor mechanical properties of the nanofibrous membrane and to ensure the recyclability and reusability of the membrane during the adsorption process.

关键词： Electrospun nanofibrous membrane Mechanical property Heavy metal ion Wastewater treatment