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企业如何与政府打交道

当代经理人 2010年第3期 80-81页

作者： andre dua Kerrin Heil Jon Wilkins 麦肯锡纽约分公司麦肯锡华盛顿特区分公司

企业的管理者表示,除了法律和法规外,还有很多政府行为会对企业的经济产生强有力的影响。但是,他们也同时指出,企业在管理与政府部门的关系方面。

关键词：企业管理政府行为政府部门管理者相关方经济

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Distant cousins come to ABP1’s rescue

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Science China(Life Sciences) 2024年第1期67卷 219-220页

作者： andre Kuhn Dolf Weijers Laboratory of Biochemistry Wageningen UniversityStippeneng 46708WE Wageningenthe Netherlands

There are few plant processes that are not in one way or another influenced by the auxin signaling *** many roles auxin plays in plants have inspired a range of investigations towards understanding its mechanisms of *** recent years and decades,genetic analysis in the flowering plant Arabidopsis has been immensely successful in bringing a nuclear response mechanism to light(reviewed in Weijers and Wagner,2016).This system,the nuclear auxin pathway(NAP),acts by regulating gene expression,and when its components are mutated,growth and development is strongly disturbed(Weijers and Wagner,2016).

关键词： bringing disturbed Arabidopsis

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Effective thermal conductivity estimation using a convolutional neural network and its application in topology optimization

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Energy and AI 2024年第1期15卷 236-247页

作者： andre Adam Huazhen Fang Xianglin Li Department of Mechanical Engineering University of Kansas1530 W 15th St.Lawrence66045KSUSA Department of Mechanical Engineering and Materials Science Washington University in St.LouisOne Brookings DriveSt.Louis63130MOUSA

Topology optimization of heterogeneous structures can find significant use in a wide range of applications,and its fabrication has been made possible by recent advances in additive ***,the optimization procedure is computationally expensive,as each structural update requires the re-evaluation of the *** computational time is the major limiting factor in large-scale and complex structural *** this study,a convolutional neural network(CNN)model for predicting effective thermal conductivity inspired by the VGG networks is *** using 130,000 unique binary images,the model achieves high predictive ***,it shows a mean absolute percent error(MAPE)of 0.35%in testing when the thermal conductivity of the solid is ten times larger than the fluid,and when the thermal conductivities assigned are that of aluminum and water,the MAPE is 2.35%.The prediction time is 15 ms for a single image with 128×128 pixels,which is 3 to 5 orders of magnitude faster than a finite volume *** employed in topology optimization,the CNN retains a MAPE between 0.67%and 11.8%for different *** CNN model correctly predicts trends in effective thermal conductivity and improves the structure to close proximity of a theoretical maximum in all cases.

关键词： Machine learning Effective thermal conductivity Convolutional neural network VGG Numerical heat transfer Topology optimization

Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control

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Neuroscience Bulletin 2024年第7期40卷 981-991页

作者： Haiyang Geng Pengfei Xu andre Aleman Shaozheng Qin Yue-Jia Luo State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Tianqiao and Chrissy Chen Institute for Translational ResearchShanghai 200040China Beijing Key Laboratory of Applied Experimental Psychology National Demonstration Center for Experimental Psychology Education(BNU)Faculty of PsychologyBeijing Normal UniversityBeijing 100875China Center for Neuroimaging Shenzhen Institute of NeuroscienceShenzhen 518107China University of Groningen Department of Biomedical Sciences of Cells and SystemsSection Cognitive NeuroscienceUniversity Medical Center GroningenGroningenThe Netherlands Institute for Neuropsychological Rehabilitation University of Health and Rehabilitation SciencesQingdao 266113China Shenzhen Key Laboratory of Affective and Social Neuroscience Magnetic Resonance ImagingCenter for Brain Disorders and Cognitive SciencesShenzhen UniversityShenzhen 518060China Chinese Institute for Brain Research Beijing 102206China

Emotion and executive control are often conceptualized as two distinct modes of human brain ***,however,is known about how the dynamic organization of large-scale functional brain networks that support flexible emotion processing and executive control,especially their *** amygdala and prefrontal systems have long been thought to play crucial roles in these *** advances in human neuroimaging studies have begun to delineate functional organization principles among the large-scale brain networks underlying emotion,executive control,and their ***,we propose a dynamic brain network model to account for interactive competition between emotion and executive control by reviewing recent resting-state and task-related neuroimaging studies using network-based *** this model,dynamic interactions among the executive control network,the salience network,the default mode network,and sensorimotor networks enable dynamic processes of emotion and support flexible executive control of multiple processes;neural oscillations across multiple frequency bands and the locus coeruleus−norepinephrine pathway serve as communicational mechanisms underlying dynamic synergy among large-scale functional brain *** model has important implications for understanding how the dynamic organization of complex brain systems and networks empowers flexible cognitive and affective functions.

关键词： Dynamic brain network Emotion Executive control Salience network Executive control network Default mode network

Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score(AICVD)

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Family Medicine and Community Health 2024年第S1期12卷 20-33页

作者： Shiv Kumar Jalepalli Prashant Gupta andre L A J Dekker Inigo Bermejo Sujoy Kar Apollo Hospitals HyderabadTelanganaIndia Azure Microsoft Research IndiaBengaluruIndia Department of Radiation Oncology(Maastro) Maastricht UniversityMaastrichtNetherlands

Objective Cardiovascular diseases(CVD)are one of the most prevalent diseases in India amounting for nearly 30%of total deaths.A dearth of research on CVD risk scores in Indian population,limited performance of conventional risk scores and inability to reproduce the initial accuracies in randomised clinical trials has led to this study on large-scale patient *** objective is to develop an Artificial Intelligence-based Risk Score(AICVD)to predict CVD event(eg,acute myocardial infarction/acute coronary syndrome)in the next 10 years and compare the model with the Framingham Heart Risk Score(FHRS)and *** Our study included 31599 participants aged 18–91 years from 2009 to 2018 in six Apollo Hospitals in India.A multistep risk factors selection process using Spearman correlation coefficient and propensity score matching yielded 21 risk factors.A deep learning hazards model was built on risk factors to predict event occurrence(classification)and time to event(hazards model)using multilayered neural ***,the model was validated with independent retrospective cohorts of participants from India and the Netherlands and compared with FHRS and *** The deep learning hazards model had a good performance(area under the curve(AUC)0.853).Validation and comparative results showed AUCs between 0.84 and 0.92 with better positive likelihood ratio(AICVD−6.16 to FHRS−2.24 and QRisk3−1.16)and accuracy(AICVD−80.15%to FHRS 59.71%and QRisk351.57%).In the Netherlands cohort,AICVD also outperformed the Framingham Heart Risk Model(AUC−0.737 vs 0.707).Conclusions This study concludes that the novel AI-based CVD Risk Score has a higher predictive performance for cardiac events than conventional risk scores in Indian population.

关键词： AICVD Cardiovascular acute

Optimal Sizing and Power Losses Reduction of Photovoltaic Systems Using PVsyst Software

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Journal of Power and Energy Engineering 2024年第7期12卷 23-38页

作者： andre Boussaibo Armel Duvalier Pene Kitmo Institute of Technology University of Ngaoundere Ngaoundere Cameroon National Advanced School of Engineering of Maroua University of Maroua Maroua Cameroon

This paper presents a method for optimizing a grid-connected photovoltaic system through an LCL filter. An algorithm based on particle swarm optimization (PSO) is used to determine the number of batteries, the number of panels in series and in parallel, as well as to evaluate the joule losses due to cable heating and the switching losses of the multilevel inverters. This system is applied to a village named YAGOUA, located in the far north of Cameroon. The evaluation of the Joule effect and the switching losses as well as the regulation of the voltage level at the point of common coupling (PCC) are carried out in PVsyst and Matlab software, then at IEEE 33 bus. This algorithm reduced the Joule losses to 1.2% and the switching losses to 2.2%. A power of 210.4 MWh is produced, to be injected in the electrical network via an LCL filter. The THD calculation gave a rate of 3.015% in accordance with the 519 standards. Synchronization through the Phase Locked Loop (PLL) is performed. After the power was injected into the grid, the voltage and current remained in phase, showing the power factor correction and the efficiency of the filter. According to NASA meteorological data, the locality of YAGOUA gives the global solar irradiation forecast of 6.8 kW/m2.

关键词： Five Level Inverter LCL Filter MPPT Power Losses PVsyst

Remote estimates of suspended particulate matter in global lakes using machine learning models

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International Soil and Water Conservation Research 2024年第1期12卷 200-216页

作者： Zhidan Wen Qiang Wang Yue Ma Pierre andre Jacinthe Ge Liu Sijia Li Yingxin Shang Hui Tao Chong Fang Lili Lyu Baohua Zhang Kaishan Song Northeast Institute of Geography and Agroecology CASChangchunJilin130102China Department of Geology Indiana University∼Purdue UniversityIndianapolisIN44602USA University of Chinese Academy of Sciences Beijing100100China College of Geography and Urban Planning Liaocheng UniversityLiaochengChina

Suspended particulate matter(SPM)in lakes exerts strong impact on light propagation,aquatic ecosystem productivity,which co-varies with nutrients,heavy metal and micro-pollutant in *** lakes,SPM exerts strong absorption and backscattering,ultimately affects water leaving signals that can be detected by satellite *** regression models based on specific band or hand ratios have been widely used for SPM estimate in the past with moderate *** are still rooms for model accuracy improvements,and machine learning models may solve the non-linear relationships between spectral variable and SPM in *** assembled more than 16,400 in situ measured SPM in lakes from six continents(excluding the Antarctica continent),of which 9640 samples were matched with Landsat overpasses within±7 *** machine learning algorithms and two simple regression methods(linear and partial least squares models)were used to estimate SPM in lakes and the performance were *** overcome the problem of imbalance datasets in regression,a Synthetic Minority Over-Sampling technique for regression with Gaussian Noise(SMOGN)was adopted in this *** comparison,we found that gradient boosting decision tree(GBDT),random forest(RF),and extreme gradient boosting(XGBoost)models demonstrated good spatiotemporal transferability with SMOGN processed dataset,and has potential to map SPM at different year with good quality of Landsat land surface reflectance *** all the tested modeling approaches,the GBDT model has accurate calibration(n=6428,R^(2)=0.95,MAPE=29.8%)from SPM collected in 2235 lakes across the world,and the validation(n=3214,R^(2)=0.84,MAPE=38.8%)also exhibited stable ***,the good performances were also exhibited by RF model with calibration(R^(2)=0.93)and validation(R^(2)=0.86,MAPE=24.2%)*** applied GBDT and RF models to map SPM of typical lakes,and satisfactory result was *** addition,the GBDT model was evaluated b

关键词： Landsat imagery Remote estimation SPM Transferability

Re-evaluation of recent research on metabolic utilization of energy in poultry: Recommendations for a net energy system for broilers

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Animal Nutrition 2024年第1期16卷 62-72页

作者： Jean Noblet Aye-Cho Tay-Zar Shu-Biao Wu Pairat Srichana Pierre Cozannet Pierre-andre Geraert Mingan Choct INRAE Charoen Pokphand Foods Public Company Limited (CPF) School of Environmental and Rural Science University of New England Adisseo France S.A.S.

Different energy systems have been proposed for energy evaluation of feeds for domestic animals. The oldest and most commonly used systems take into account the fecal energy loss to obtain digestible energy(DE), and fecal, urinary and fermentation gases energy losses to calculate metabolizable energy(ME). In the case of ruminants and pigs, the net energy(NE) system, which takes into account the heat increment associated with the metabolic utilization of ME, has progressively replaced the DE and ME systems over the last 50 years. For poultry, apparent ME(AME) is used exclusively and NE is not yet used widely. The present paper considers some important methodological points for measuring NE in poultry feeds and summarizes the available knowledge on NE systems for poultry. NE prediction equations based on a common analysis of three recent studies representing a total of 50 complete and balanced diets fed to broilers are proposed; these equations including the AME content and easily available chemical indicators have been validated on another set of 30 diets. The equations are applicable to both ingredients and complete diets. They rely primarily on an accurate and reliable AME value which then represents the first limiting predictor of NE value. Our analysis indicates that NE would be a better predictor of broiler performance than AME and that the hierarchy between feeds is dependent on the energy system with a higher energy value for fat and a lower energy value for protein in an NE system. Practical considerations for implementing such an NE system from the commonly used AME or AMEn(AME adjusted for zero nitrogen balance) systems are presented. In conclusion, there is sufficient information to allow the implementation of the NE concept in order to improve the accuracy of feed formulation in poultry.

关键词： Poultry Feed evaluation Net energy Energy system

Haemorrhage after thrombectomy with adjuvant thrombolysis in unknown onset stroke depends on high early lesion water uptake

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Stroke & Vascular Neurology 2024年第4期9卷 390-398页

作者： Gabriel Broocks Lukas Meyer Uta Hanning Tobias Djamsched Faizy Matthias Bechstein Helge Kniep Noel Van Horn Gerhard Schön Ewgenia Barow Götz Thomalla Jens Fiehler andre Kemmling Department of Diagnostic and Interventional Neuroradiology University Medical Center Hamburg-EppendorfHamburgGermany Department of Medical Biometry and Epidemiology University Medical Center Hamburg EppendorfHamburgGermany Department of Neurology University Medical Center Hamburg-EppendorfHamburgGermany Department of Neuroradiology University MarburgMarburgGermany

Background and purpose In wake-up stroke,CT-based quantitative net water uptake(NWU)might serve as an alternative tool to MRI to guide intravenous thrombolysis with alteplase(IVT).An important complication after IVT is symptomatic intracerebral haemorrhage(sICH).As NWU directly implies ischaemic lesion progression,reflecting blood-brain barrier injury,we hypothesised that NWU predicts sICH in patients who had a ischaemic stroke undergoing thrombectomy with unknown *** Consecutive analysis of all patients who had unknown onset anterior circulation ischaemic stroke who underwent CT at baseline and endovascular treatment between December 2016 and October *** NWU was assessed on baseline *** primary endpoint was *** association of NWU and other baseline parameters to sICH was investigated using inverse-probability weighting(IPW)*** A total of 88 patients were included,of which 46 patients(52.3%)received *** median NWU was 10.7%(IQR:5.1–17.7).The proportion of patients with any haemorrhage and sICH were 35.2%and 13.6%.NWU at baseline was significantly higher in patients with sICH(19.1%vs 9.6%,p<0.0001)and the median Alberta Stroke Program Early CT Score(ASPECTS)was lower(5 vs 8,p<0.0001).Following IPW,there was no association between IVT and sICH in unadjusted ***,after adjusting for ASPECTS and NWU,there was a significant association between IVT administration and sICH(14.6%,95%CI:3.3%to 25.6%,p<0.01).Conclusion In patients with ischaemic stroke with unknown onset,the combination of high NWU with IVT is directly linked to higher rates of *** ASPECTS for evaluating the extent of the early infarct lesion,quantitative NWU could be used as an imaging biomarker to assess the degree of blood-brain barrier damage in order to predict the risk of sICH in patients with wake up stroke.

关键词： throm thrombolysis high