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Data error propagation in stacked bioclimatic envelope models

Integrative Zoology 2024年第2期19卷 262-276页

作者： Xueyan LI b.b.k naimi Peng GONG Miguel b.ARAÚJO Guangdong Provincial key Laboratory of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of ScienceGuangzhouChina ‘Rui Nabeiro’biodiversity Chair CHANGE-MED InstituteUniversity ofÉvoraÉvoraPortugal Department of Geography and Department of Earth Sciences University of Hong KongHong KongChina Department of biogeography and Global Change National Museum of Natural SciencesCSICMadridSpain

Stacking is the process of overlaying inferred species potential distributions for multiple species based on outputs of bioclimatic envelope models(bEMs).The approach can be used to investigate patterns and processes of species *** data limitations on individual species distributions are inevitable,but how do they affect inferences of patterns and processes of species richness?We investigate the influence of different data sources on estimated species richness gradients in *** fitted bEMs using species distributions data for 334 bird species obtained from(1)global range maps,(2)regional checklists,(3)museum records and surveys,and(4)citizen science data using presence-only(Mahalanobis distance),presence-background(MAXENT),and presence–absence(GAM and bRT)*** species predictions were stacked to generate species richness ***,we show that different data sources and bEMs can generate spatially varying gradients of species *** environmental predictors that best explained species distributions also differed between data *** using citizen-based data had the highest accuracy,whereas those using range data had the lowest *** richness patterns estimated by GAM and bRT models were robust to data *** multiple data sets exist for the same region and taxa,we advise that explicit treatments of uncertainty,such as sensitivity analyses of the input data,should be conducted during the process of modeling.

关键词： richness patterns species distribution stacked bioclimatic envelope models uncertainty

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Computational Analysis of Nanofluid Mixed Convection in a Ventilated Enclosure with Linearly Varying Wall Temperature

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Journal of Physical Science and Application 2016年第6期6卷 49-56页

作者： Ismail Arroub Ahmed bahlaoui Abdelghani Raji Mohammed Hasnaoui Mohamed naimi Sultan Moulay Slimane University Polydisciplinary Faculty Interdisciplinary Laboratory of Research in Sciences andTechnologies (LIRST) B.P. 592 Beni-Mella123000 Morocco Sultan Moulay Slimane University Faculty of Sciences and Technologies Laboratory of Flows and Transfers Modelling (LAMET)B.P. 523 Beni-Mella123000 Morocco Cadi Ayyad University Faculty of Sciences Semlalia Laboratory of Fluid Mechanics and Energetics (LMFE) B.P. 2390Marrakech Morocco

The characteristic of flow and heat transfer of A12Oa-water nanofluids flowing through a horizontal ventilated cavity is investigated numerically. The bottom wall is subjected to a linearly varying increasing heating temperature profile, whereas the other boundaries are assumed to be thermally insulated. The enclosure is cooled by an injected or sucked imposed flow. The simulations are focused specifically on the effects of different key parameters such as Reynolds number, 200 〈 Re 〈 5,000, nanoparticles concentration, 0 〈 φ 〈 0.1, and mode of imposed flow, on the flow and thermal patterns and heat transfer performances. The findings demonstrate clearly the positive role of the nanoparticles addition on the improvement of the heat transfer rate and the mean temperature within the cavity. Also, the results presented show that, the suction mode is more favorable to the heat transfer in comparison with the case of the injection mode. The cooling efficiency is found to be more pronounced by applying the suction mode.

关键词： Mixed convection nanofluid injection suction linearly varying heating ventilated cavity.

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An integrative approach of digital image analysis and transcriptome profiling to explore potential predictive biomarkers for TGFβblockade therapy

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Acta Pharmaceutica Sinica b 2022年第9期12卷 3594-3601页

作者： Robert Pomponio Qi Tang Anthony Mei Anne Caron bema Coulibaly Joachim Theilhaber Maximilian Rogers-Grazado Michele Sanicola-Nadel Souad naimi Reza Olfati-Saber Cecile Combeau Jack Pollard Tun Tun Lin Rui Wang Sanofi Translational Medicine Early Development Cambridge MA 02142USA Sanofi Artificial Intelligence and Deep Analytics Data and Data Sciences CambridgeMA 02142USA Sanofi Translational Science Vitry sur Seine 94403France Sanofi Precision Oncology Cambridge MA 02142USA Sanofi Oncology Early Development Cambridge MA 02142USA

Increasing evidence suggests that the presence and spatial localization and distribution pattern of tumor infiltrating lymphocytes(TILs)is associate with response to *** studies have identified TGFβactivity and signaling as a determinant of T cell exclusion in the tumor microenvironment and poor response to PD-1/PD-L1 *** we coupled the artificial intelligence(AI)-powered digital image analysis and gene expression profiling as an integrative approach to quantify distribution of TILs and characterize the associated TGFβpathway *** of T cell spatial distribution in the solid tumor biopsies revealed substantial differences in the distribution *** digital image analysis approach achieves 74%concordance with the pathologist assessment for tumor-immune *** transcriptomic profiling suggests that the TIL score was negatively correlated with TGFβpathway activation,together with elevated TGFβsignaling activity observed in excluded and desert tumor *** present results demonstrate that the automated digital pathology algorithm for quantitative analysis of CD8 immunohistochemistry image can successfully assign the tumor into one of three infiltration phenotypes:immune desert,immune excluded or immune *** association between“cold”tumor-immune phenotypes and TGFβsignature further demonstrates their potential as predictive biomarkers to identify appropriate patients that may benefit from TGFβblockade.

关键词： Digital pathology Artificial intelligence TGFβ Predictive biomarker Tumor topography T cell infiltration Transcriptomic profiling Machine learning

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Analysis of Water Resources Vulnerability Assessment Tools

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Journal of Agricultural Science and Technology(b) 2019年第2期9卷 69-86页

作者： kanga IdéSoumaila Albachir Seydou Niandou Mustapha naimi Chikhaoui Mohamed keith Schimmel Soil and Water Management Laboratory Department of Natural Resources and EnvironmentHassan II Institute of Agronomy&Veterinary MedicineRabat 10101Morocco Applied Science and Technology North Carolina Agricultural and Technical State UniversityGreensboroNC 27411USA

Water resources face many pressures and stresses around the *** the vulnerability of water resources is,therefore,increasingly an essential practice in water resources *** studies of water resources vulnerability have been carried out around the world during the last three ***,the main objective of this study was to analyze water resources vulnerability assessment tools and identify the methodological trend of water resources vulnerability assessment at the local level in existing *** achieve this objective,the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)method has been applied to include or exclude *** on water vulnerability numbering 374 were preselected in the ScienceDirect and the Google Scholar *** 32 out of the 374 articles met the inclusion criteria defined for the *** results show that China(21.9%),U.S.A.(9.4%)and Canada(6.3%)are the most active countries publishing water resources vulnerability *** 191 vulnerability indicators from the 32 articles were classified into five categories of factors:physical factors(33.5%),socio-economic factors(28.3%),environmental or eco-environmental factors(25.1%),institutions and governance factors(7.3%)and infrastructure factors(5.8%).This study shows that almost half of the studies(47%)considered all five categories of factors,9.4%considered four categories of factors,6.3%considered three categories of factors,28%used two types of factors and 9.4%considered only one *** have used several methods to assess water resources vulnerability:overlay and index methods(59.4%),process-based models(12.5%),statistical methods(9.4%),overlay and index methods plus process-based model(9.4%),overlay and index methods plus statistical methods(6.3%)and statistical methods plus process-based models(3.1%).Geographic information system(GIS)is an important tool in assessing the vulnerability of water resou

关键词： Water vulnerability water resources management water vulnerability assessment tools.

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Corrigendum to “Distinct and combined impacts of climate and land use scenarios on water availability and sediment loads for a water supply reservoir in northern Morocco” [International Soil and Water Conservation Research 8 (2020) 141-153]

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International Soil and Water Conservation Research 2021年第1期9卷 166-166页

作者： Fatiha Choukri Damien Raclot Mustapha naimi Mohamed Chikhaoui Joāo Pedro Nunes Frédéric Huard Cécile Férivaux Mohamed Sabir Yannick Pépin IAV HassanⅡ Department of Natural Resources and EnvironmentMadinat Al IrfaneRabatMorocco USAH Univ MontpellierINRAEIRDInstitut AgroMontpellierFrance CE3C-Centre for Ecology Evolution and Environmental ChangesFaculdade de CienciasUniversidade de Lisboa1749-016LisboaPortugal INRAE-AgroClim 228 Route de L'AerodromeCS 4050984914AvignonCedex 9France bRGM Univ Montpellier1039 Rue de Pinville34000MontpellierFrance ENFI Bd Moulay YoussefTabriquetSALEMorocco

The authors have agreed to credit Fabrice Vinatier authorship for this *** list of authors and affiliations should appear as follows:Fatiha Choukri a,Damien Raclot a,*** naimi a,Mohamed Chikhaoui a,Joao Pedro Nunes c,Frederic Huard d,Cecile Herivaux e,Fabrice Vinatier b,Mohamed Sabir f,Yannick Pepin a,b a IAV Hassan II,Department of Natural Resources and Environment,Madinat Al Irfane,Rabat,Morocco b LISAH,Univ Montpellier,INRAE,IRD,Institut Agro,Montpellier,France c CE3C-Centre for Ecology,Evolution and Environmental Changes,Faculdade de Ciencias,Universidade de Lisboa,1749-016,Lisboa,Portugal d INRAE-AgroClim,228 Route de TAerodrome,CS 40509,84914,Avignon,Cedex 9,France e bRGM,Univ Montpellier,1039 Rue de Pinville,34000,Montpellier,France f ENFI,bd Moulay Youssef,Tabriquet,SALE,Morocco The authors would like to apologise for any inconvenience caused.

关键词： reservoir Mor Conservation

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A Systematic Review and Meta-Analysis of Water Quality Indices

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Journal of Agricultural Science and Technology(b) 2019年第1期9卷 1-14页

作者： kanga Idé Soumaila Albachir Seydou Niandou Mustapha naimi Chikhaoui Mohamed keith Schimmel Stephanie Luster-Teasley Naeem Nizar Sheick Soil and Water Management Laboratory Department of Natural Resources and Environment Hassan II Institute of Agronomy & Veterinary Medicine Rabat Morocco Department of Energy & Environmental Systems North Carolina Agricultural and Technical State University Greensboro NC 27411 USA Department of Civil Architectural and Environmental Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 USA School of Science and Engineering Al Akhawayn University in Ifrane Ifrane Morocco

Water quality indices (WQI) are useful tools for indicating the suitability of water for an expected use. However, they can suffer from some problems. The objective of this paper was to analyze the development of WQI to determine which parameters are used in water quality assessment and to discuss the characteristics of WQI. To screen articles on WQI, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method is applied to include or exclude articles. Four necessary steps are needed to design WQI: parameter selection, standardization, weighting and aggregation. A set of six methods of aggregations of sub-indices are identified: the arithmetic mean, the geometric mean, the root square, the logarithmic function, the fuzzy inference and the minimum operator. The problems encountered for the overall index are different according to the form of aggregation. They are eclipsing, ambiguity, rigidity or flexibility, adaptability and compensation. The chemical parameters (70%) are the most used in the development of WQI with the physical parameters used at 24% and the biological parameters at 6%. Dissolved oxygen (DO, 87%), total coliforms (87%), biological oxygen demand (bOD, 73%), pH (73%), temperature (67%), turbidity (60%), ammonia (53%), ammonium (47%) and total dissolved solids (47%) are the most commonly used parameters for water quality assessment.

关键词： Water quality indices water quality parameters water quality assessment review meta-analysis

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