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技术创新 2004年第1期 7-9页

作者： robert.I.sutton 斯坦福工程学院管理学和工程学教授

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好老板的尽职清单

商学院 2010年第10期 72-75页

作者： robert I. sutton 斯坦福大学

一个老板的角色往往跟一个地位很高的灵长类动物十分相似。BAE系统公司首席执行官Linda Hudson在成为通用动力公司的第一位女性总裁后，很快就明白了这一点。在她上任第一天后，她的办公室中就有许多女职员模仿她系围巾的方式。Hudson... 详细信息

一个老板的角色往往跟一个地位很高的灵长类动物十分相似。BAE系统公司首席执行官Linda Hudson在成为通用动力公司的第一位女性总裁后，很快就明白了这一点。在她上任第一天后，她的办公室中就有许多女职员模仿她系围巾的方式。Hudson说：“正是现在，

关键词：老板 BAE系统公司清单通用动力公司灵长类动物首席执行官女职员办公室

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如何保持团队的卓越能力

中国民商 2014年第6期 76-77页

作者： robert sutton 李雨蒙(译)

我在斯坦福大学的同学Huggo Rao花了七年的时间研究企业/组织如何扩大卓越性。我们发现这一过程大部分需要通过团队来实现--以正确的方法、正确的速度建立全新的团队，团结整个企业的多种团队力量。

关键词：团队斯坦福大学时间研究企业组织方法

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米歇尔·贝克Mozilla的开源革命

经理人 2008年第3期 70-71页

作者： Lenny T.Mendonca robert sutton

随着公司与外部合作的日益加强，革新管理逐渐成为一个受人关注的话题。尤其是在研发革新管理中，如何进行流程管理、如何保护知识产权，以及如何进行决策等，都开始成为外部合作过程中的重大问题。在过去的十年中，Mozilla公司主席米... 详细信息

随着公司与外部合作的日益加强，革新管理逐渐成为一个受人关注的话题。尤其是在研发革新管理中，如何进行流程管理、如何保护知识产权，以及如何进行决策等，都开始成为外部合作过程中的重大问题。在过去的十年中，Mozilla公司主席米歇尔·贝克成功地带领企业与许多来自公司之外的志愿者们展开了深入合作，并成功地研发出了Firefox浏览器，直接向微软的IE浏览器发起了挑战。

关键词： IE浏览器流程管理保护知识产权合作过程米歇尔·贝克 Mozilla公司

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杰出领导的危机管理智慧

董事会 2009年第8期 95-97页

作者： robert I.sutton 许潇潇

金融危机的风暴袭来，金融市场也好，日常工作场所也罢，恐惧和猜疑正四处蔓延、恣意肆虐。就在几周前，某专业服务公司的一位高管向我诉苦，抱怨裁员1O％有多么痛苦，还要想方设法安慰鼓舞那些留下来的员工。我的另一位朋友——某制造... 详细信息

金融危机的风暴袭来，金融市场也好，日常工作场所也罢，恐惧和猜疑正四处蔓延、恣意肆虐。就在几周前，某专业服务公司的一位高管向我诉苦，抱怨裁员1O％有多么痛苦，还要想方设法安慰鼓舞那些留下来的员工。我的另一位朋友——某制造企业的CEO也透露，公司刚刚裁员20％，他也在与“恶魔”搏斗。

关键词：金融危机管理智慧专业服务公司领导金融市场工作场所制造企业 CEO

Meta-analysis of subtotal stomach-preserving pancreaticoduodenectomy vs pylorus preserving pancreaticoduodenectomy

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World Journal of Gastroenterology 2015年第20期21卷 6361-6373页

作者： Wei Huang Jun-Jie Xiong Mei-Hua Wan Peter Szatmary Shameena Bharucha Ilias Gomatos Quentin M Nunes Qing Xia robert sutton Xu-Bao Liu Sichuan Provincial Pancreatitis Center Department of Integrated Traditional Chinese Medicine and Western MedicineWest China HospitalSichuan University Department of Pancreatic Surgery West China HospitalSichuan University NIHR Liverpool Pancreas Biomedical Research Unit Royal Liverpool University Hospital

AIM: To investigate the differences in outcome following pylorus preserving pancreaticoduodenectomy(PPPD) and subtotal stomach-preserving pancreaticoduodenectomy(SSPPD).METHODS: Major databases including Pub Med(Medline), EMBASE and Science Citation Index Expanded and the Cochrane Central Register of Controlled Trials(CENTRAL) in The Cochrane Library were searched for comparative studies between patients with PPPD and SSPPD published between January 1978 and July 2014. Studies were selected based on specific inclusion and exclusion criteria. The primary outcome was delayed gastric emptying(DGE). Secondary outcomes included operation time, intraoperative blood loss, pancreatic fistula, postoperative hemorrhage, intraabdominal abscess, wound infection, time to starting liquid diet, time to starting solid diet, period of nasogastric intubation, reinsertion of nasogastric tube, mortality and hospital stay. The pooled odds ratios(OR) or weighted mean difference(WMD) with 95% confidence intervals(95%CI) were calculated using either a fixed-effects or random-effects model. RESULTS: Eight comparative studies recruiting 650 patients were analyzed, which include two RCTs, one non-randomized prospective and 5 retrospective trial designs. Patients undergoing SSPPD experienced significantly lower rates of DGE(OR = 2.75; 95%CI: 1.75-4.30, P < 0.00001) and a shorter period of nasogastric intubation(OR = 2.68; 95%CI: 0.77-4.58,P < 0.00001), with a tendency towards shorter time to liquid(WMD = 2.97, 95%CI:-0.46-7.83; P = 0.09) and solid diets(WMD = 3.69, 95%CI:-0.46-7.83; P = 0.08) as well as shorter inpatient stay(WMD = 3.92, 95%CI:-0.37-8.22; P = 0.07), although these latter three did not reach statistical significance. PPPD, however, was associated with less intraoperative blood loss than SSPPD [WMD =-217.70, 95%CI:-429.77-(-5.63); P = 0.04]. There were no differences in other parameters between the two approaches, including operative time(WMD =-5.30, 95%CI:-43.44-32.84; P = 0.79

关键词： Pancreaticoduodenectomy Pylorus preservingSubtotal stomach preserving pancreaticoduodenectomy Delayed gastric emptying Pancreatic surgery Metaanalysis

来自皮克斯的创新经验——奥斯卡奖得主布拉德·伯德导演专访

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商学院 2008年第6期 32-34页

作者： Hayagreeva Rao robert sutton Allen P.Webb 斯坦福大学商学院斯坦福大学工程学院 <麦肯锡季刊>编委会

如果说多年来成功的创新者展示了什么，那就是：伟大的创意来自于意料之外。谁曾想过自行车的机械原理会发展出飞机呢？又有谁曾想过美国国防部会造就出诸如互联网这种随心所欲的交流平台呢？那些寻求如何使他们的企业更具创新力的资深... 详细信息

如果说多年来成功的创新者展示了什么，那就是：伟大的创意来自于意料之外。谁曾想过自行车的机械原理会发展出飞机呢？又有谁曾想过美国国防部会造就出诸如互联网这种随心所欲的交流平台呢？那些寻求如何使他们的企业更具创新力的资深高管们也可以在不可，思议的来源中寻找灵感。布拉德·伯德在动画设计人员中培养创造力的实际做法对任何希望在团队和组织中培养创新意识的高管来说都具有强有力的教育意义。

关键词：奥斯卡奖培养创造力导演经验皮克美国国防部机械原理交流平台

Human endogenous retrovirus type-W and multiple sclerosis–related smoldering neuroinflammation

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Neural Regeneration Research 2025年第3期20卷 813-814页

作者： Joel Gruchot Laura Reiche Andrew Chan robert Hoepner Patrick Küry Department of Neurology Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany Department of Neurology InselspitalBern University Hospital and University of BernBernSwitzerland

Introduction to human endogenous retrovirus type-W(HERV-W): Genomic inheritance from the past includes retroviral sequences that have been stably incorporated into our genomes and account for up to 8% of human DNA.

关键词： endogenous inflammation Human

Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 299-327页

作者： A.robert Singh Suganya Athisayamani Gyanendra Prasad Joshi Bhanu Shrestha Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203Tamil NaduIndia School of Computing Sastra Deemed to be UniversityThanjavur613401Tamil NaduIndia Department of Artificial Intelligence&Software Kangwon National UniversitySamcheok25913Republic of Korea Department of Information Convergence System Graduate School of Smart ConvergenceKwangwoon UniversitySeoul01897Republic of Korea

Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image *** denoising is done by a U-Net architecture that ensures effective image *** correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of ***,a novel multi-scale diluted convolution(MSDC)network is *** merges the features extracted in different scales and makes the model learn the features more *** scales of filters with size 3×3 are used to extract *** three steps are compared with state-of-the-art *** proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of *** proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.

关键词： SPECT-MPI CAD MSDC denoising attenuation correction classification

Three-Stage Transfer Learning with AlexNet50 for MRI Image Multi-Class Classification with Optimal Learning Rate

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 155-183页

作者： Suganya Athisayamani A.robert Singh Gyanendra Prasad Joshi Woong Cho School of Computing Sastra Deemed to be UniversityThanjavur613401India Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203India Department of AI and Software Engineering Kangwon National UniversitySamcheok25913Republic of Korea Department of Electronics Information and Communication EngineeringKangwon National UniversitySamcheok25913Republic of Korea

In radiology,magnetic resonance imaging(MRI)is an essential diagnostic tool that provides detailed images of a patient’s anatomical and physiological *** is particularly effective for detecting soft tissue ***,radiologists manually interpret these images,which can be labor-intensive and time-consuming due to the vast amount of *** address this challenge,machine learning,and deep learning approaches can be utilized to improve the accuracy and efficiency of anomaly detection in MRI *** manuscript presents the use of the Deep AlexNet50 model for MRI classification with discriminative learning *** are three stages for learning;in the first stage,the whole dataset is used to learn the *** the second stage,some layers of AlexNet50 are frozen with an augmented dataset,and in the third stage,AlexNet50 with an augmented dataset with the augmented *** method used three publicly available MRI classification datasets:Harvard whole brain atlas(HWBA-dataset),the School of Biomedical Engineering of Southern Medical University(SMU-dataset),and The National Institute of Neuroscience and Hospitals brain MRI dataset(NINS-dataset)for *** hyperparameter optimizers like Adam,stochastic gradient descent(SGD),Root mean square propagation(RMS prop),Adamax,and AdamW have been used to compare the performance of the learning ***-dataset registers maximum classification *** evaluated the performance of the proposed classification model using several quantitative metrics,achieving an average accuracy of 98%.

关键词： MRI tumors classification AlexNet50 transfer learning hyperparameter tuning optimizer