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An Update on Pathophysiology and Medical Management of Endometriosis

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Advances in Reproductive Sciences 2016年第2期4卷 53-73页

作者： Kulvinder Kochar Kaur gautam Allahbadia Department of Obstetrics and Gynaecology (Reproductive Neuroendocrinology and Infertility) Dr. Kulvinder Kaur Centre for Human Reproduction Jalandhar India Rotunda—A Centre for Human Reproduction Mumbai India

Endometriosis is an inflammatory oestrogen dependent disease defined by the presence of endometrial glands and stroma at extrauterine sites. The modern advance in treatment of endometriosis management is tackling the debilitating pain it causes, besides the infertility in patients desiring fertility in reproductive age group. This can be achieved by surgical or medical means, although in most cases a combination of both treatments is required. Usually, long term treatment is required in most cases. Unfortunately in most cases, pain symptoms recur between 6months and 12 months once treatment is stopped. A lot of research has gone in understanding the pathogenesis and further medical management of endometriosis besides surgery to be useful in relieving pain and use in patients desiring fertility besides hormonal treatments used earlier like hormonal contraceptives (oral, transdermal or vaginal administration), progestogens, danazol, Gonadotrophic releasing hormone agonist (GnRH), aromatase inhibitors. Newer agents like antiangiogenic drugs, phytochemical agents like resveratrol, TNF-α inhibitors, GnRH antagonists like egalogolix, statins, antiinflammatory agents like COX2 Inhibitors and PPARγ inhibitors like pioglitazone etc., with recent work of combined efficacy of telmesartan of both PPARγ partial agonism along with angiotensin 1 receptor agonism having more efficacy, role of immunomodulators like rapamycin, lipoxin 4 and pentoxyphylline, GnRH antagonists like egalogolix are still under study undergoing phase III trials although preliminary results show promising results with fewer side effects as compared to similar duration of GnRH agonist and much less BMD side effects. Increasing number of trials show the safety of SPRM’s, along with efficacy although disadvantage is suppression of fertility so cannot be used for women desiring fertility. Currently, only mifepristone and ulipristal have received FDA approval for indication in fibroid treatment, MTP and not for

关键词： Antiangiogenic Agents Phytotherapeutics Drugs (Resveratrol) PPAR Gamma Agonism with AT1R Agonism (Telmesartan) GnRH Antagonist (Elagolix) IL-17A SPRM Modulators (Ulipristal) Immunomodulators (Pentoxyphylline) Statins (Atorvastatin)

自由取向炭/炭复合材料的新型制备及工艺优化（英文）

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新型炭材料 2018年第5期33卷 424-433页

作者： Thakur Sudesh Kumar Raunija Rajeev K.gautam Sharad Chandra Sharma Anil Verma Carbon and Ceramics Laboratory Materials and Mechanical EntityVikram Sarabhai Space Centre Indian Space Research OrganisationThiruvananthapuram 695022KeralaIndia Sustainable Environergy Research Lab(SERL) Department of Chemical Engineering Indian Institute of Technology DelhiHauz-KhasNew Delhi 110016India Materials and Metallurgy Group Materials and Mechanical EntityVikram Sarabhai Space Centre Indian Space Research OrganisationThiruvananthapuram 695022KeralaIndia

采用在炭纤维束的内部浸润熔融沥青的传统方法制备得到的炭/炭(C/C)复合材料难以实现细旦化水平,这是因为单束丝中含有数千根丝,经浸渍后沥青附着,从而引起沥青局部渗出,以及因不均匀沥青稳定性而导致微观结构不均匀。本文通过稳定的中... 详细信息

采用在炭纤维束的内部浸润熔融沥青的传统方法制备得到的炭/炭(C/C)复合材料难以实现细旦化水平,这是因为单束丝中含有数千根丝,经浸渍后沥青附着,从而引起沥青局部渗出,以及因不均匀沥青稳定性而导致微观结构不均匀。本文通过稳定的中间相沥青和分散的短切炭纤维混合、热压和炭化过程制备出细旦化水平的C/C复合材料。探讨了工艺参数对中间相沥青残炭率的影响。通过残炭率/工艺时间、残炭率!(表观密度/实密度)来优化工艺参数。结果表明,通过此法得到了细旦化水平的中间相沥青与炭纤维复合材料。中间相沥青的残炭率随加热升温速率、沥青/炭纤维质量比的增加而降低;随热压压力而增加。在高压力和高质量比下,发生沥青局部渗出。通过调控得到最佳的C/C复合材料制备工艺参数为:热压压力15 MPa,升温速率0. 2℃/min及沥青/炭纤维质量比1∶1。

关键词：石油沥青中间相沥青短切炭纤维热压产率

Insight into the relationship between non-linear mixed convection and thermal radiation:The case of Newtonian fluid flow due to non-linear stretching

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Propulsion and Power Research 2023年第1期12卷 153-165页

作者： Amit Kumar Pandey Krishnendu Bhattacharyya Anil Kumar gautam Sohita Rajput Mani Shankar Mandal Ali J.Chamkha Dhananjay Yadav Department of Mathematics Institute of ScienceBanaras Hindu UniversityVaranasi-221005Uttar PradeshIndia Department of Mathematics Government General Degree CollegeKalnaeIBurdwan-713405West BengalIndia Faculty of Engineering Kuwait College of Science and TechnologyDoha DistrictKuwait Department of Mathematical and Physical Sciences University of NizwaOman

The current research focuses the light on the characterization of buoyancy-driven non-linear mixed convection and non-linear radiation in a Newtonian flow over a nonlinearly stretching vertical sheet,and this type of flow has useful applications in many industrial processes,such as the paper and pulp industry,polymer industry,electronic device cooling,solar collectors,gas turbine plants,and nuclear *** appropriate transformations,governing PDEs for non-linear mixed convection are reduced to higher-order non-linear ODEs and those are numerically *** with tabular presentations of computed results,the graphical representations are generated to elucidate the effects of involved parameters on convection transport properties and their *** demonstrates that flow velocity increases near the surface and decreases away from the surface as the non-linear convection parameter ***,increments in the thermal buoyancy,temperature ratio and non-linear radiation parameters result in the boost of *** temperature decreases as linear and non-linear buoyancy-related parameters(non-linear convection and thermal buoyancy parameters)are of higher *** contrast,the temperature rises with two non-linear thermal radiation-related parameters(thermal ratio and non-linear radiation parameters).For greater values of the non-linear stretching related parameter,a lower velocity and a higher temperature are *** non-linear convection,thermal buoyancy,thermal ratio and non-linear radiation parameters contribute toward the reduction of the magnitude of surface-drag force and growth of the surface cooling ***,with the non-linearity in surface stretching there are significant percentage hikes of surface-drag force magnitude and surface cooling rate.

关键词： Non-linear mixed convection Non-linear thermal radiation Non-linear stretching sheet Newtonian fluid

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喜马拉雅碰撞造山过程:变质地质学视角

地质学报 2022年第9期96卷 3128-3157页

作者：王佳敏吴福元张进江 gautam KHANAL 杨雷中国科学院地质与地球物理研究所岩石圈演化国家重点实验室北京100029 北京大学地球与空间科学学院北京100871 尼泊尔地质矿产部尼泊尔加德满都44600 成都理工大学地球科学学院四川成都610059

本文从变质地质学视角出发,介绍了喜马拉雅造山带的研究意义、地质概况和近年来作者在喜马拉雅碰撞造山过程研究中的进展。喜马拉雅造山带是威尔逊旋回中陆陆碰撞造山带的典型代表,从中揭示的大陆碰撞造山过程、规律及效应,可为探索地... 详细信息

本文从变质地质学视角出发,介绍了喜马拉雅造山带的研究意义、地质概况和近年来作者在喜马拉雅碰撞造山过程研究中的进展。喜马拉雅造山带是威尔逊旋回中陆陆碰撞造山带的典型代表,从中揭示的大陆碰撞造山过程、规律及效应,可为探索地球从古至今的碰撞造山带演化研究所借鉴。其中,大陆碰撞造山机制的研究是其核心内容。大陆碰撞造山机制存在临界楔和隧道流两种端元模型之争,其分别对造山带核部高级变质岩折返的P-T-t轨迹和时空演化序列进行了不同的预测。上述争议可通过研究喜马拉雅核部高级变质岩(高喜马拉雅)的P-T-t轨迹和折返过程来限定,据此可将喜马拉雅碰撞造山过程划分为三个演化阶段。阶段一:60~40 Ma,软碰撞期,造山带地壳加厚至约40 km并发生小规模部分熔融,这些早期地壳加厚记录大多已被剥蚀,零星保存于前陆飞来峰和北喜马拉雅片麻岩穹隆中;喜马拉雅山从海平面以下抬升至>1000 m。阶段二:40~16 Ma,硬碰撞期,造山带地壳加厚至60~70 km,发生大规模高级变质和深熔作用,高喜马拉雅内部的三个次级岩片沿着“原喜马拉雅逆冲断层”、“高喜马拉雅逆冲断层”、“主中央逆冲断层”顺序式向南挤出,形成了现今喜马拉雅造山带的核部主体,地壳堆叠使喜马拉雅山快速隆升至≥5000 m。阶段三:16~0 Ma,晚碰撞期,造山带山根榴辉岩化发生局部拆沉,但大陆汇聚仍在持续、造山带尚未发生垮塌,小喜马拉雅折返、前陆盆地形成,喜马拉雅山达到和维持现今平均高度~6000 m。因此,喜马拉雅生长过程的一级次序是顺序式向南扩展的,受控于临界楔模型,而隧道流只起次级作用。山根深部热流过程对造山带的地壳结构和地表高程有巨大的改造作用。未来对喜马拉雅造山带的变质地质学研究可能存在以下几个关键科学问题:(1)喜马拉雅极端变质作用与重大碰撞造山事件的关联;(2)喜马拉雅稀有金属成矿与接触变质作用的关联;(3)喜马拉雅变质脱碳作用与大陆碰撞带深部碳循环和通量。

关键词：喜马拉雅大陆碰撞造山地壳加厚山脉隆升临界楔和隧道流 P-T-t轨迹

Intermodal group-velocity engineering for broadband nonlinear optics

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Photonics Research 2019年第1期7卷 1-7页

作者： JEFF DEMAS LARS RISH?J XIAO LIU gautam PRABHAKAR SIDDHARTH RAMACHANDRAN Department of Electrical Engineering Boston University The Rockefeller University

Interest in the nonlinear properties of multi-mode optical waveguides has seen a recent resurgence on account of the large dimensionality afforded by the platform. The large volume of modes in these waveguides provides a new spatial degree of freedom for phase matching nonlinear optical processes. However, this spatial dimension is quantized, which narrows the conversion bandwidths of intermodal processes and constrains spectral and temporal tailoring of the light. Here we show that by engineering the relative group velocity within the spatial dimension, we can tailor the phase-matching bandwidth of intermodal parametric nonlinearities. We demonstrate group-velocity-tailored parametric nonlinear mixing between higher-order modes in a multi-mode fiber with gain bandwidths that are more than an order of magnitude larger than that previously thought possible for intermodal four-wave mixing. As evidence of the technological utility of this methodology, we seed this process to generate the first high-peak-power wavelength-tunable all-fiber quasi-CW laser in the Ti:sapphire wavelength *** generally, with the combination of intermodal interactions, which dramatically expand the phase-matching degrees of freedom for nonlinear optics, and intermodal group-velocity engineering, which enables tailoring of the bandwidth of such interactions, we showcase a platform for nonlinear optics that can be broadband while being wavelength agnostic.

关键词： nonlinear properties waveguides optical processes

A novel genetic approach for optimized biological sequence alignment

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Journal of Biophysical Chemistry 2012年第2期3卷 201-205页

作者： gautam Garai Biswanath Chowdhury Department of Bioinformatics DOEACC Society Kolkata India Department of Computational Biology Saha Institute of Nuclear Physics Kolkata India

Biological sequence alignment is one of the most important problems in computational biology. The objective of the alignment process is to maximize the alignment score between two given sequences of varying or equal length. The alignment score of two sequences is calculated based on matches, mismatches and gaps in the alignment. We have proposed a new genetic approach for finding optimized match between two DNA or protein sequences. The process is compared with two well known relevant sequence alignment techniques.

关键词： Sequence Alignment DNA Protein Genetic Algorithm Computational Biology

Effects of Ethanol Addition and Biological Pretreatment on Soda Pulping of Eulaliopsis binata

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Journal of Biomaterials and Nanobiotechnology 2016年第2期7卷 78-90页

作者： Archana gautam Amit Kumar Dharm Dutt Department of Paper Technology Indian Institute of Technology Roorkee Saharanpur Campus Saharanpur India

Morphological characteristics and proximate chemical analysis of E. binata showed it as a suitable raw material for writing and printing grade paper. Maximum pulp yield (43.58%) of kappa number 17.38 with 0.9% screening rejects was obtained at 12% of active alkali (as Na2O) pulping temperature 130°C, cooking time 120 min and solid to liquor ratio 1:4. During bio-soda pulping of E. binata, pulp yield decreased slightly while pulp brightness, tensile index, burst index and double fold numbers were improved by 4.1%, 24.94%, 14.03% and 48.45% respectively compared to soda pulping. During ethanol-soda pulping of E. binata, pulp yield, pulp brightness, tensile index, burst index and double fold numbers were improved by 3.9%, 6.6%, 32.18%, 35.40% and 77.31% respectively compared to soda pulping.

关键词： Ethanol-Soda Pulping Bio-Pulping Eulaliopsis binata Schizophyllum commune Fibre Morphology

A Novel Cluster Based Time Synchronization Technique for Wireless Sensor Networks

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Wireless Sensor Network 2017年第5期9卷 145-165页

作者： Gopal Chand gautam Narottam Chand Department of Computer Science & Engineering National Institute of Technology Hamirpur Hamirpur India

Time synchronization is one of the important aspects in wireless sensor networks. Time synchronization assures that all the sensor nodes in wireless sensor network have the same clock time. There are various applications such as seismic study, military applications, pollution monitoring where sensor nodes require synchronized time. Time synchronization is mandatory for many wireless sensor networks protocols such as MAC protocols and also important for TDMA scheduling for proper duty cycle coordination. Time synchronization is a stimulating problem in wireless sensor networks because each node has its own local clock which keeps on varying due to variation in the oscillator frequency. The oscillator frequency is time varying due to ambient conditions which leads to re-synchronization of nodes time and again. This re-synchronization process is energy consuming whereas energy is constraints in WSN. This paper proposes a novel cluster based time synchronization technique for wireless sensor networks in which cluster head rotation is based on minimum clock offset. Simulation results based on energy analysis of the proposed model demonstrate that proposed novel cluster based time synchronization technique reduces the energy consumption and also the synchronization error compared with other existing protocols.

关键词： Cluster Offset Delay Time Synchronization

Argumentative Comparative Analysis of Machine Learning on Coronary Artery Disease

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Open Journal of Statistics 2020年第4期10卷 694-705页

作者： Keshab R. Dahal Yadu gautam Department of Statistics Truman State University Kirksville MO USA Cincinnati Children’s Hospital Medical Center Cincinnati OH USA

Cardiovascular disease (CVD) is a leading cause of death across the globe. Approximately 17.9 million of people die globally each year due to CVD, which comprises 31% of all death. Coronary Artery Disease (CAD) is a common type of CVD and is considered fatal. Predictive models that use machine learning algorithms may assist health workers in timely detection of CAD which ultimately reduces the mortality. The main purpose of this study is to build a predictive model that provides doctors and health care providers with personalized information to implement better and more personalized treatments for their patients. In this study, we use the publicly available Z-Alizadeh Sani dataset which contains random samples of 216 cases with CAD and 87 normal controls with 56 different features. The binary variable “Cath” which represents case-control status, is used the target variable. We study its relationship with other predictors and develop classification models using the five different supervised classification machine learning algorithms: Logistic Regression (LR), Classification Tree with Bagging (Bagging CART), Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN).

关键词： Machine Learning Classification Model Comparison Coronary Artery Disease Data Mining