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1A general-purpose machine learning framework for predicting properties of inorganic materials显示文摘A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data.While prior examples have demonstrated successful models for some applications,many more applications exist where machine learning can make a strong impact.To enable faster development of machine-learning-based models for such applications,we have created a framework capable of being applied to a broad range of materials data.Our method works by using a chemically diverse list of attributes,which we demonstrate are suitable for describing a wide variety of properties,and a novel method for partitioning the data set into groups of similar materials to boost the predictive accuracy.In this manuscript,we demonstrate how this new method can be used to predict diverse properties of crystalline and amorphous materials,such as band gap energy and glass-forming ability.Logan Ward Ankit Agrawal Alok Choudhary Christopher Wolverton 2016npj Computational Materials2016,,1:83
2Targeting inflammation in diabetes: Newer therapeutic options显示文摘Inflammation has been recognised to both decrease beta cell insulin secretion and increase insulin resis-tance. Circulating cytokines can affect beta cell function directly leading to secretory dysfunction and increased apoptosis. These cytokines can also indirectly affect beta cell function by increasing adipocyte inflamma-tion.The resulting glucotoxicity and lipotoxicity further enhance the inflammatory process resulting in a vicious cycle. Weight reduction and drugs such as metformin have been shown to decrease the levels of C-Reactive Protein by 31% and 13%, respectively. Pioglitazone, insulin and statins have anti-inflammatory effects. In-terleukin 1 and tumor necrosis factor-α antagonists are in trials and NSAIDs such as salsalate have shown an improvement in insulin sensitivity. Inhibition of 12-lipo-oxygenase, histone de-acetylases, and activation of sirtuin-1 are upcoming molecular targets to reduce in-flammation. These therapies have also been shown to decrease the conversion of pre-diabetes state to diabe-tes. Drugs like glicazide, troglitazone, N-acetylcysteine and selective COX-2 inhibitors have shown benefit in diabetic neuropathy by decreasing inflammatory mark-ers. Retinopathy drugs are used to target vascular en-dothelial growth factor, angiopoietin-2, various protein-ases and chemokines. Drugs targeting the proteinases and various chemokines are pentoxifylline, inhibitors of nuclear factor-kappa B and mammalian target of rapa-mycin and are in clinical trials for diabetic nephropathy. Commonly used drugs such as insulin, metformin, per-oxisome proliferator-activated receptors, glucagon like peptide-1 agonists and dipeptidyl peptidase-4 inhibitors also decrease inflammation. Anti-inflammatory thera-pies represent a potential approach for the therapy of diabetes and its complications.Neeraj Kumar Agrawal Saket Kant 2014World Journal of Diabetes2014,5,5:41
3The role and modulation of autophagy in experimental models of myocardial ischemia-reperfusion injury显示文摘称为 autophagy 品质上的一个生理的序列由移开蛋白质总数和损坏细胞质的成分决定细胞的生存能力,并且显著地作出贡献到心肌的 ischemia-reperfusion (I/R ) 的度损害。这紧安排的分解代谢的细胞的 ‘ housekeeping’过程向房间提供精力的新来源适应紧张的条件。当支持幸存的机制,而是增加的证据建议它能也导致房间的遗赠,这个过程首先被描述。Autophagy 包括心肌的 I/R 损害在多重心脏的条件的致病被含有。然而,争论至于 autophagy 是否充当保护的机制或在心贡献 I/R 损害的有害效果坚持。这争吵可以在试验性的模型和种包括可变性源自几个因素,并且方法论过去常估计 autophagy。这评论在向操作 autophagy 显著地在压力大多数的条件下面增加心脏的 myocytes 的幸存受到 I/R,和成长兴趣的孤立的心脏的房间在 autophagy 的调整和角色上提供更新的知识是 I/R 损害。这的不安 evolutionarily 保存了细胞内部的清洁的 autophagy 机制,由指向的调整通过在其它之中, rapamycin ( mTOR )的哺乳动物的目标禁止者,腺苷 激活monophosphate 的蛋白质 kinase ( AMPK )调节的人,钙降低代理人, resveratrol , longevinex , sirtuin 使活跃之物, proapoptotic 基因 Bnip3 , IP3 和 lysosome 禁止者,可以对 I/R 授与抵抗到心房间导致的房间死亡。因此,在质问心肌层的 autophagy 的治疗学的操作可以有益于梗塞以后的心脏的愈合并且改变。Carol Chen-Scarabelli Pratik R. Agrawal Louis Saravolatz Cadigia Abuniat Gabriele Scarabelli Anastasis Stephanou Leena Loomba Jagat Narula Tiziano M. Scarabelli Richard Knight 2014Journal of Geriatric Cardiology2014,11,4:37
4Protection Challenges Under Bulk Penetration of Renewable Energy Resources in Power Systems:A Review显示文摘Among different sources of alternate energy,wind and solar are two prominent and promising alternatives to meet the future electricity needs for mankind.Generally,these sources are integrated at the distribution utilities to supply the local distribution customers.If the power generated by these sources is bulk,then they are either integrated at the distribution/transmission level or may be operated in an island mode if feasible.The integration of these renewables in the power network will change the fault level and network topologies.These fault levels are intermittent in nature and existing protection schemes may fail to operate because of their pre-set condition.Therefore,the design and selection of a proper protection scheme is very much essential for reliable control and operation of renewable integrated power systems.Depending upon the level of infeed and location of the renewable integration,the protection requirements are different.For low renewable infeed at the distribution level,the existing relay settings are immune from any small change in the network fault current from new incoming renewables.However,bulk renewable infeed requires modification in the existing protection schemes to accommodate the fault current variation from the incoming renewables.For bulk penetration of the renewable,the requirement of modified/additional protection schemes is unavoidable.Adaptive relaying and non-adaptive relaying schemes are discussed in the literature for protection of power networks,which are experiencing dynamic fault currents and frequent changing network topologies.This article presents a detailed review of protection schemes for renewable integrated power networks which includes distribution,transmission and microgrid systems.The merits and demerits of these protection schemes are also identified in this article for the added interest of the readers.The visible scope of advance protection schemes which may be suitable for providing reliable protection for dynamic fault current networks is also explored.Vishnuvardhan Telukunta Janmejaya Pradhan Anubha Agrawal Manohar Singh 2017CSEE Journal of Power and Energy Systems2017,3,4:33
5Evolution,current status and advances in application of platelet concentrate in periodontics and implantology显示文摘Platelet concentrates(PC) [platelet-rich plasma(PRP) and platelet-rich fibrin(PRF)] are frequently used for surgical procedures in medical and dental fields,particularly in oral and maxillofacial surgery,plastic surgery and sports medicine.The objective of all these technologies is to extract all the elements from a blood sample that could be used to improve healing and promote tissue regeneration.Although leukocyte rich and leukocyte poor PRP's have their own place in literature,the importance of non-platelet components in a platelet concentrate remains a mystery.PC have come a long way since its first appearance in 1954 to the T-PRF,A-PRF and i-PRF introduced recently.These PC find varied applications successfully in periodontics and implant dentistry as well.However,the technique of preparation,standing time,transfer process,temperature of centrifuge,vibration,etc.,are the various factors for the mixed results reported in the literature.Until the introduction of a proper classification of terminologies,the PC were known by different names in different countries and by different commercial companies which also created a lot of confusion.This review intends to clarify all these confusion by briefing the exact evolution of PC,their preparation techniques,recent advances and their various clinical and technical aspects and applications.Amit Arvind Agrawal 2017World Journal of Clinical Cases2017,5,5:28
6Chronic Liver Failure-Sequential Organ Failure Assessment is better than the Asia-Pacific Association for the Study of Liver criteria for defining acute-on-chronic liver failure and predicting outcome显示文摘AIM:To compare the utility of the Chronic Liver FailureSequential Organ Failure Assessment(CLIF-SOFA)and Asia-Pacific Association for the Study of Liver(APASL)definitions of acute-on-chronic liver failure(ACLF)in predicting short-term prognosis of patients with ACLF.METHODS:Consecutive patients of cirrhosis with acute decompensation were prospectively included.They were grouped into ACLF and no ACLF groups as per CLIF-SOFA and APASL criteria.Patients were followed up for 3 mo from inclusion or mortality whichever was earlier.Mortality at 28-d and 90-d was compared between no ACLF and ACLF groups as per both criteria.Mortality was also compared between different grades of ACLF as per CLIF-SOFA criteria.Prognostic scores like CLIF-SOFA,Acute Physiology and ChronicHealth Evaluation(APACHE)-Ⅱ,Child-Pugh and Model for End-Stage Liver Disease(MELD)scores were evaluated for their ability to predict 28-d mortality using area under receiver operating curves(AUROC).RESULTS:Of 50 patients,38 had ACLF as per CLIFSOFA and 19 as per APASL criteria.Males(86%)were predominant,alcoholic liver disease(68%)was the most common etiology of cirrhosis,sepsis(66%)was the most common cause of acute decompensation while infection(66%)was the most common precipitant of acute decompensation.The 28-d mortality in no ACLF and ACLF groups was 8.3%and 47.4%(P=0.018)as per CLIF-SOFA and 39%and 37%(P=0.895)as per APASL criteria.The 28-d mortality in patients with no ACLF(n=12),ACLF grade 1(n=11),ACLF grade 2(n=14)and ACLF grade 3(n=13)as per CLIF-SOFA criteria was 8.3%,18.2%,42.9%and76.9%(χ2 for trend,P=0.002)and 90-d mortality was 16.7%,27.3%,78.6%and 100%(χ2 for trend,P<0.0001)respectively.Patients with prior decompensation had similar 28-d and 90-d mortality(39.3%and 53.6%)as patients without prior decompensation(36.4%and 63.6%)(P=NS).AUROCs for 28-d mortality were 0.795,0.787,0.739 and 0.710 for CLIF-SOFA,APACHE-Ⅱ,Child-Pugh and MELD scores respectively.On multivariate analysis of these scores,CLIF-SOFA was the only significant independent predictor of mortality with an odds ratio 1.538(95%CI:1.078-2.194).CONCLUSION:CLIF-SOFA criteria is better than APASL criteria to classify patients into ACLF based on their prognosis.CLIF-SOFA score is the best predictor of short-term mortality.Radha K Dhiman Swastik Agrawal Tarana Gupta Ajay Duseja Yogesh Chawla 2014World Journal of Gastroenterology2014,20,40:26
7澜沧江和怒江流域的气候变化及其对径流的影响显示文摘采用VIP(Vegetation Interface Processes)模型和HIMS(Hydro-Informatic Modeling System)模型,模拟分析了1957—2012年澜沧江和怒江流域(简称两江流域)水资源量的演变。根据CMIP5 RCP2.6,RCP4.5和RCP8.5情景预测,模拟了2030年代和2050年代流域水资源的变化。研究发现,过去50年间,两江流域的气温都呈升高趋势,但海拔较高的上游地区升幅大于下游。年总降水量的变化趋势不明显,但春季降水增加趋势明显。两江流域年总水资源量为650亿~850亿m^3,水资源总量长期变化趋势不明显,其中澜沧江的波动性(1.884,最大与最小之比)大于怒江。空间上水资源量呈现北低-南高的格局。在未来,两江流域气温仍呈增加趋势,降水呈增加趋势,径流呈增加趋势,空间变异性趋小,但较强的季节性变化对水资源安全仍具有较大的挑战性。刘苏峡 丁文浩 莫兴国 王盛 刘昌明 罗贤 何大明 Sagar Ratna Bajracharya Arun Bhakta Shrestha Nand Kishor Agrawal 2017气候变化研究进展2017,13,4:17
8Low-loss metasurface optics down to the deep ultraviolet region显示文摘Shrinking conventional optical systems to chip-scale dimensions will benefit custom applications in imaging,displaying,sensing,spectroscopy,and metrology.Towards this goal,metasurfaces-planar arrays of subwavelength electromagnetic structures that collectively mimic the functionality of thicker conventional optical elements-have been exploited at frequencies ranging from the microwave range up to the visible range.Here,we demonstrate highperformance metasurface optical components that operate at ultraviolet wavelengths,including wavelengths down to the record-short deep ultraviolet range,and perform representative wavefront shaping functions,namely,highnumerical-aperture lensing,accelerating beam generation,and hologram projection.The constituent nanostructured elements of the metasurfaces are formed of hafnium oxide-a loss-less,high-refractive-index dielectric material deposited using low-temperature atomic layer deposition and patterned using high-aspect-ratio Damascene lithography.This study opens the way towards low-form factor,multifunctional ultraviolet nanophotonic platforms based on flat optical components,enabling diverse applications including lithography,imaging,spectroscopy,and quantum information processing.Cheng Zhang Shawn Divitt Qingbin Fan Wenqi Zhu Amit Agrawal Yanqing Lu Ting Xu Henri J.Lezec 2020Light(Science & Applications)2020,9,1:11
9MicroRNA signature and function in retinal neovascularization显示文摘Ischemic retinopathies are clinically well-defined chronic microvascular complications characterized by gradually progressive alterations in the retinal microvasculature and a compensatory aberrant neovascularization of the eye. The subsequent metabolic deficiencies result in structural and functional alterations in the retina which is highly susceptible to injurious stimuli such as diabe-tes, trauma, hyperoxia, inflammation, aging and dys-plipidemia. Emerging evidence indicates that an effec-tive therapy may require targeting multiple components of the angiogenic pathway. Conceptually, mircoRNA(miRNA)-based therapy provides the rationale basis for an effective antiangiogenic treatment. miRNAs are an evolutionarily conserved family of short RNAs, each regulating the expression of multiple protein-coding genes. The activity of specific miRNAs is important for vascular cell signaling and blood vessel formation and function. Recently, important progress has been made in mapping the miRNA-gene target network andmiRNA-mediated gene expression control. Here wehighlight the latest findings on angiogenic and antian-giogenic miRNAs and their targets as well as potentiaimplications in ocular neovascular diseases. Emphasis isplaced on how specific vascular-enriched miRNAs regu-late cell responses to various cues by targeting severafactors, receptors and/or signaling molecules in orderto maintain either vascular function or dysfunction. Fur-ther improvement of our knowledge in not only miRNAspecificity, turnover, and transport but also how miRNAsequences and functions can be altered will enhancethe therapeutic utility of such molecules.Saloni Agrawal Brahim Chaqour 2014World Journal of Biological Chemistry2014,5,1:10
10The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design显示文摘The Joint Automated Repository for Various Integrated Simulations(JARVIS)is an integrated infrastructure to accelerate materials discovery and design using density functional theory(DFT),classical force-fields(FF),and machine learning(ML)techniques.JARVIS is motivated by the Materials Genome Initiative(MGI)principles of developing open-access databases and tools to reduce the cost and development time of materials discovery,optimization,and deployment.Kamal Choudhary Kevin F.Garrity Andrew C.E.Reid Brian DeCost Adam J.Biacchi Angela R.Hight Walker Zachary Trautt Jason Hattrick-Simpers A.Gilad Kusne Andrea Centrone Albert Davydov Jie Jiang Ruth Pachter Gowoon Cheon Evan Reed Ankit Agrawal Xiaofeng Qian Vinit Sharma Houlong Zhuang Sergei V.Kalinin Bobby G.Sumpter Ghanshyam Pilania Pinar Acar Subhasish Mandal Kristjan Haule David Vanderbilt Karin Rabe Francesca Tavazza 2020npj Computational Materials2020,,1:10
11Modified scaled distance regression analysis approach for prediction of blast-induced ground vibration in multi-hole blasting显示文摘The blast-induced ground vibration prediction using scaled distance regression analysis is one of the most popular methods employed by engineers for many decades. It uses the maximum charge per delay and distance of monitoring as the major factors for predicting the peak particle velocity(PPV). It is established that the PPV is caused by the maximum charge per delay which varies with the distance of monitoring and site geology. While conducting a production blasting, the waves induced by blasting of different holes interfere destructively with each other, which may result in higher PPV than the predicted value with scaled distance regression analysis. This phenomenon of interference/superimposition of waves is not considered while using scaled distance regression analysis. In this paper, an attempt has been made to compare the predicted values of blast-induced ground vibration using multi-hole trial blasting with single-hole blasting in an opencast coal mine under the same geological condition. Further,the modified prediction equation for the multi-hole trial blasting was obtained using single-hole regression analysis. The error between predicted and actual values of multi-hole blast-induced ground vibration was found to be reduced by 8.5%.Hemant Agrawal A.K.Mishra 2019Journal of Rock Mechanics and Geotechnical Engineering2019,11,1:9
12Rare complications of pediatric diabetic ketoacidosis显示文摘The incidence of type 1 diabetes(T1D) among youth is steadily increasing across the world. Up to a third of pediatric patients with T1 D present with diabetic ketoacidosis, a diagnosis that continues to be the leading cause of death in this population. Cerebral edema is the most common rare complication of diabetic ketoacidosis in children. Accordingly, treatment and outcome measures of cerebral edema are vastly researched and the pathophysiology is recently the subject of much debate. Nevertheless, cerebral edema is not the onlysequela of diabetic ketoacidosis that warrants close monitoring. The medical literature details various other complications in children with diabetic ketoacidosis, including hypercoagulability leading to stroke and deep vein thrombosis, rhabdomyolysis, pulmonary and gastrointestinal complications, and long-term memory dysfunction. We review the pathophysiology, reported cases, management, and outcomes of each of these rare complications in children. As the incidence of T1 D continues to rise, practitioners will care for an increasing number of pediatric patients with diabetic ketoacidosis and should be aware of the various systems that may be affected in both the acute and chronic setting.Shara R Bialo Sungeeta Agrawal Charlotte M Boney Jose Bernardo Quintos 2015World Journal of Diabetes2015,6,1:9
13Recent advances and applications of deep learning methods in materials science显示文摘Deep learning(DL)is one of the fastest-growing topics in materials data science,with rapidly emerging applications spanning atomistic,image-based,spectral,and textual data modalities.DL allows analysis of unstructured data and automated identification of features.The recent development of large materials databases has fueled the application of DL methods in atomistic prediction in particular.In contrast,advances in image and spectral data have largely leveraged synthetic data enabled by high-quality forward models as well as by generative unsupervised DL methods.In this article,we present a high-level overview of deep learning methods followed by a detailed discussion of recent developments of deep learning in atomistic simulation,materials imaging,spectral analysis,and natural language processing.For each modality we discuss applications involving both theoretical and experimental data,typical modeling approaches with their strengths and limitations,and relevant publicly available software and datasets.We conclude the review with a discussion of recent cross-cutting work related to uncertainty quantification in this field and a brief perspective on limitations,challenges,and potential growth areas for DL methods in materials science.Kamal Choudhary Brian DeCost Chi Chen Anubhav Jain Francesca Tavazza Ryan Cohn Cheol Woo Park Alok Choudhary Ankit Agrawal Simon J.L.Billinge Elizabeth Holm Shyue Ping Ong Chris Wolverton 2022npj Computational Materials2022,,1:9
14Multifunctional metasurfaces enabled by simultaneous and independent control of phase and amplitude for orthogonal polarization states显示文摘Monochromatic light can be characterized by its three fun dame ntal properties:amplitude,phase,and polarization.In this work,we propose a versatile,transmission-mode all-dielectric metasurface platform that can independently manipulate the phase and amplitude for two orthogonal states of polarization in the visible frequency range.For proof-o仁concept experimental demonstration,various single-layer metasurfaces composed of subwavelength-spaced titanium-dioxide nanopillars are designed,fabricated,and characterized to exhibit the ability of polarization-switchable multidimensional light-field manipulation,including polarization-switchable grayscale nanoprinting,nonuniform cylindrical lensing,and complex-amplitude holography.We envision the metasurface platform dem on strated here to open new possibilities toward creating compact multifunctional optical devices for applications in polarization optics,information encoding,optical data storage,and security.Mingze Liu Wenqi Zhu Pengcheng Huo Lei Feng Maowen Song Cheng Zhang Lu Chen Henri JLezec Yanqing Lu Amit Agrawal Ting Xu 2021Light(Science & Applications)2021,10,6:8
15Decreased expression of Klotho in cardiac atria biopsy samples from patients at higher risk of atherosclerotic cardiovascular disease显示文摘BackgroundKlotho 蛋白质(α - 并且 β) 是基于膜的传播调整细胞新陈代谢的蛋白质,以及成纤维细胞生长因素(FGF ) 的 lifespan modulating 活动。最近的数据证明了更高的血浆传播 Klotho 层次减少心血管的风险,建议 Klotho 有在心血管的疾病的一个保护的角色。然而,尽管到目前为止它在各种各样的机关被识别了,它是未知的是否,并且高心血管的风险是否能影响 Klotho 的心脏的表示 cardiomyocytes 快车 Klotho 和 FGF , FGF 和另外的 molecules.MethodsWe 与心血管的疾病和 10 匹配年龄的控制使遭到,估计的10年的低风险经历的一名估计的10年的高动脉粥样硬化患者选择了 20 个病人为除冠的动脉以外的原因的心脏的外科绕过。在心肌的活体检视,我们由免疫组织化学评估了 Klotho 和 FGF 是否在 cardiomyocytes 被表示,并且更高心血管的风险是否影响涉及 endoplasmic 蜂窝胃应力的另外的分子的表示,氧化应力,发炎并且 fibrosis.ResultsOnly ,有更高心血管的风险的病人的 cardiomyocytes 显示出 Klotho 的更低的表示,但是 FGF 的更高的表情。而且,更高心血管的风险与增加的表示被联系氧化并且网状的应力,发炎和 fibrosis.ConclusionsThis 学习的 endoplasmic 第一次证明 Klotho 蛋白质在人的 cardiomyocytes 被表示, Klotho 的那心脏的表情在更高心血管的风险病人是下面调整的,当压力相关的分子的表示显著地被增加时。Giovanni Corsetti Evasio Pasini Tiziano M Scarabelli Claudia Romano Pratik R Agrawal Carol Chen-Scarabelli Richard Knight Louis Saravolatz Jagat Narula Mario Ferrari-Vivaldi Vincenzo Flati Deodato Assanelli Francesco S Dioguardi 2016Journal of Geriatric Cardiology2016,13,8:7
16Gingival enlargements: Differential diagnosis and review of literature显示文摘Gingival enlargement is one of the frequent features of gingival diseases. However due to their varied presentations, the diagnosis of these entities becomes challenging for the clinician. They can be categorized based on their etiopathogenesis, location, size, extent, etc. Based on the existing knowledge and clinical experience, a differential diagnosis can be formulated. Subsequently, after detailed investigation, clinician makes a final diagnosis or diagnosis of exclusion. A perfect diagnosis is critically important, since the management of these lesions and prevention of their recurrence is completely dependent on it. Furthermore, in some cases where gingival enlargement could be the primary sign of potentially lethal systemic diseases, a correct diagnosis of these enlargements could prove life saving for the patient or at least initiate early treatment and improve the quality of life. The purpose of this review article is to highlight significant findings of different types of gingival enlargement which would help clinician to differentiate between them. A detailed decision tree is also designed for the practitioners, which will help them arrive at a diagnosis in a systematic manner. There still could be some lesions which may present in an unusual manner and make the diagnosis challenging. By knowing the existence of common and rare presentations of gingival enlargement, one can keep a broad view when formulating a differential diagnosis of localized(isolated, discrete, regional) or generalized gingival enlargement.Amit Arvind Agrawal 2015World Journal of Clinical Cases2015,3,9:6
17Hoffa fracture associated with femoral shaft and proxi-mal tibial fractures: report of two cases显示文摘独居的花冠砍大腿骨的髁的破裂例如 Hoffa’s 骨折,通常与 supracondylar 或腿节的 intercondylar 破裂被联系。这些破裂在导致多重损害的高精力机制的上下文稀罕、看见;因此,病人的彻底的 workup 被要求排除另外的重要损害。Hoffa’与大腿骨的柄联系的 s 骨折和近似胫骨的破裂是极其稀罕的,没有如此的损害以前被报导了。我们报导与标准起作用的固定技术被管理并且示威的二个如此的案例对在一年的后续以后的优秀功能的结果好。这份报告强调怀疑的那个高索引为这些损害的诊断被要求,彻底的 workup 是强制的排除另外的联系损害。我们也建议损害的可能的机制。Anuj Jain Prakash Agrawal Manish Chadha Amite Pankaj 2012Chinese Journal of Traumatology2012,15,6:5
18Extraction and RP-HPLC determination of taxol in rat plasma, cell culture and quality control samples显示文摘A rapid,sensitive,selective and validated reverse phase high-performance liquid chromatography(RP-HPLC)method for the estimation of paclitaxel in micro-sample of rat plasma and in culture of cancer cells was performed in this study.The mobile phase consisted of an optimized mixture of methanol:water:trifluroacetic acid(80:20:0.1,v/v/v).Column elution at a flow rate of 1 mL/minute with UV detection at 225 nm at room temperature was used.The RP-HPLC method was successfully applied for the determination of paclitaxel in plasma samples and in culture of cancer cells with nano-quantity of estimation.The validation studies were performed in accordance with the International Conference on Harmonization(ICH)guidelines.The intra-and inter-day precision showed that the coefficients of variation ranged from 1.07%to 4.27%at different levels of concentrations.To the best of our knowledge,this study also reported for the first time the optimization of different solvents for effective extraction of paclitaxel wherein tert.-butyl methyl ether(TBME):diethyl ether(DEE)in 50:50 v/v composition was found most efficient with extraction efficiency ranging between 77.99%and 91.74%and between 76.14 and 93.66%in the plasma and cell culture,respectively.This proposed method was successfully applied to study the pharmacokinetics of paclitaxel and the influence of verapamil and all-trans retinoic acid(atRA)on paclitaxel pharmacokinetics in rat models.This proposed method might emerge as a valuable aid in the laboratory monitoring of paclitaxel in a variety of in vitro as well as in vivo scenarios.Rakesh Kumar Tekade Antony D'Emanuele Abdelbary Elhissi Ashish Agrawal Anurekha Jain Basel Tawfiq Arafat Narendra Kumar Jain 2013The Journal of Biomedical Research2013,27,5:5
19Learning Convex Optimization Models显示文摘A convex optimization model predicts an output from an input by solving a convex optimization problem.The class of convex optimization models is large,and includes as special cases many well-known models like linear and logistic regression.We propose a heuristic for learning the parameters in a convex optimization model given a dataset of input-output pairs,using recently developed methods for differentiating the solution of a convex optimization problem with respect to its parameters.We describe three general classes of convex optimization models,maximum a posteriori(MAP)models,utility maximization models,and agent models,and present a numerical experiment for each.Akshay Agrawal Shane Barratt Stephen Boyd 2021IEEE/CAA Journal of Automatica Sinica2021,8,8:5
20不同体积碱性盐对50∶50聚乳酸-聚乙二醇酸体外降解的影响显示文摘目的探讨不同体积碱性盐对生物降解植入物聚乳酸(PLA)-聚乙二醇酸(PGA)(50∶50PLA-PGA)体外降解的影响。方法在50∶50PLA-PGA中添加不同体积的碳酸钙(CC)和碳酸氢钠(SBC),观察降解过程pH值,标本的分子量、大小、生物力学性质的变化。结果50∶50PLA-PGA中加入CC、SBC能代偿代谢物导致的pH值下降,但CC组降解过程减慢。结论50∶50PLA-PGA中适当添加SBC,不影响该材料的正常降解,又能代偿降解过程pH值的变化。林建华 Agrawal CM Zhu Chongfang Athanasiou KA 1998福建医科大学学报1998,32,4:5
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