0000000000543110

AUTHOR

Haichao Wang

showing 5 related works from this author

Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making

2018

The complementary judgment matrix (CJM) method is an MCDA (multicriteria decision aiding) method based on pairwise comparisons. As in AHP, the decision-maker (DM) can specify his/her preferences using pairwise comparisons, both between different criteria and between different alternatives with respect to each criterion. The DM specifies his/her preferences by allocating two nonnegative comparison values so that their sum is 1. We measure and pinpoint possible inconsistency by inconsistency errors. We also compare the consistency of CJM and AHP trough simulation. Because preference judgments are always more or less imprecise or uncertain, we introduce a way to represent the uncertainty throu…

Mathematical optimizationArticle SubjectComputer scienceGeneral Mathematicsstokastinen monikriteerinen arvostusanalyysi0211 other engineering and technologiesAnalytic hierarchy processcomparisons02 engineering and technologyMeasure (mathematics)Consistency (database systems)0202 electrical engineering electronic engineering information engineeringuncertainty levelsPreference (economics)ta512päätösteoriaStochastic multicriteria acceptability analysis021103 operations researchta214complementary judgment matrix (CJM) methodlcsh:MathematicsRank (computer programming)ta111General EngineeringMultiple-criteria decision analysislcsh:QA1-939epävarmuuslcsh:TA1-2040stochastic multicriteria acceptability analysis (SMAA)020201 artificial intelligence & image processingPairwise comparisonlcsh:Engineering (General). Civil engineering (General)multicriteria decision-makingmatriisit
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Autophagy

2012

Klionsky, Daniel J. et al.

autophagy assays[SDV]Life Sciences [q-bio]AutolysosomeAutophagosome maturationautophagosomeBioinformaticsstressChaperone-mediated autophagyModelsLC3MESH: Animalsguidelinesautolysosome autophagosome flux LC3 lysosome phagophore stress vacuoleSettore BIO/06 - Anatomia Comparata E CitologiaComputingMilieux_MISCELLANEOUSSettore BIO/17Autophagy databaseautolysosome3. Good healthddc:540lysosomeEnergy and redox metabolism Mitochondrial medicine [NCMLS 4]methods [Biological Assay]Biological AssaySettore BIO/17 - ISTOLOGIANeuroniMAP1LC3BHumanautophagygenetics [Autophagy]AutofagiaMESH: Autophagy*/genetics[SDV.BC]Life Sciences [q-bio]/Cellular BiologyAutofagia; Neuroni; istologiaBiologyModels BiologicalLC3; autolysosome; autophagosome; flux; lysosome; phagophore; stress; vacuoleddc:570AutophagyAnimalsHumansAutophagy-Related Protein 7[SDV.BC] Life Sciences [q-bio]/Cellular BiologyBiological Assay/methodsMolecular BiologyBiologyAutophagy; guidelines; autophagy assaysistologiaphagophoreMESH: HumansAnimals; Biological Assay; Humans; Models Biological; AutophagyvacuoleAnimal[ SDV.BC ] Life Sciences [q-bio]/Cellular BiologyMESH: Models BiologicalPathogenesis and modulation of inflammation Infection and autoimmunity [N4i 1]Cell BiologyBiologicalAutophagy/geneticsfluxAutophagosome membraneAutophagy Protein 5Human medicineMESH: Biological Assay/methods*Neuroscienceautolysosome; autophagosome; flux; LC3; lysosome; phagophore; stress; vacuoleAutophagy
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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

2016

Seuls les 100 premiers auteurs dont les auteurs INRA ont été entrés dans la notice. La liste complète des auteurs et de leurs affiliations est accessible sur la publication.; International audience; In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues…

[SDV]Life Sciences [q-bio]autophagosomeReview Articleddc:616.07stressstreLC3MESH: AnimalsSettore MED/49 - Scienze Tecniche Dietetiche ApplicateSettore BIO/06 - Anatomia Comparata E Citologiachaperone-mediated autophagyComputingMilieux_MISCELLANEOUSSettore BIO/11Pharmacology. TherapySettore BIO/13standards [Biological Assay]autolysosomeMESH: Autophagy*/physiologylysosomemethods [Biological Assay]Biological AssaySettore BIO/17 - ISTOLOGIAErratumHumanBiochemistry & Molecular BiologySettore BIO/06physiology [Autophagy]Chaperonemediated autophagy[SDV.BC]Life Sciences [q-bio]/Cellular BiologyNOautophagy guidelines molecular biology ultrastructureautolysosome; autophagosome; chaperone-mediated autophagy; flux; LC3; lysosome; macroautophagy; phagophore; stress; vacuoleMESH: Biological Assay/methodsMESH: Computer Simulationddc:570Autolysosome Autophagosome Chaperonemediated autophagy Flux LC3 Lysosome Macroautophagy Phagophore Stress VacuoleAutophagyAnimalsHumansComputer SimulationSettore BIO/10ddc:612BiologyphagophoreMESH: HumansvacuoleAnimalLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole; Animals; Biological Assay; Computer Simulation; Humans; Autophagy0601 Biochemistry And Cell BiologyfluxmacroautophagyMESH: Biological Assay/standards*Human medicineLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole
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Erratum

2016

Author(s): Klionsky, DJ; Abdelmohsen, K; Abe, A; Abedin, MJ; Abeliovich, H; Arozena, AA; Adachi, H; Adams, CM; Adams, PD; Adeli, K; Adhihetty, PJ; Adler, SG; Agam, G; Agarwal, R; Aghi, MK; Agnello, M; Agostinis, P; Aguilar, PV; Aguirre-Ghiso, J; Airoldi, EM; Ait-Si-Ali, S; Akematsu, T; Akporiaye, ET; Al-Rubeai, M; Albaiceta, GM; Albanese, C; Albani, D; Albert, ML; Aldudo, J; Algul, H; Alirezaei, M; Alloza, I; Almasan, A; Almonte-Beceril, M; Alnemri, ES; Alonso, C; Altan-Bonnet, N; Altieri, DC; Alvarez, S; Alvarez-Erviti, L; Alves, S; Amadoro, G; Amano, A; Amantini, C; Ambrosio, S; Amelio, I; Amer, AO; Amessou, M; Amon, A; An, Z; Anania, FA; Andersen, SU; Andley, UP; Andreadi, CK; Andrieu-Ab…

0301 basic medicineSettore BIO/06biologyCell Biology[SDV.BC]Life Sciences [q-bio]/Cellular Biologybiology.organism_classificationCell biologyInterpretation (model theory)03 medical and health sciencesArama030104 developmental biologyMolecular BiologyHumanitiesComputingMilieux_MISCELLANEOUS
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Stochastic multicriteria evaluation of district heating systems considering the uncertainties

2018

It is of great importance to choose a suitable district heating (DH) system for a specific DH area from the economics, environment and energy (3E) points of view. This is a multicriteria decision making problem, in which the criteria performance values (PVs) and weighting are characterized by uncertain or imprecise information. In this study, seven candidate DH systems are evaluated from the viewpoints of 3E by the stochastic multicriteria acceptability analysis (SMAA) method. SMAA is able to handle the uncertainties of the criteria PVs and the weighting at the same time. These uncertainties are very common and typical in real-life, but in most cases are not treated judiciously or just negl…

Fluid Flow and Transfer ProcessesMulticriteria decisionta212021103 operations researchEnvironmental Engineeringta214Operations researchComputer sciencekaukolämmitys020209 energystokastinen monikriteerinen arvostusanalyysi0211 other engineering and technologies02 engineering and technologyBuilding and Constructionepävarmuus0202 electrical engineering electronic engineering information engineeringuncertaintyta512stochastic multicriteria evaluationEnergy (signal processing)päätösteoriadistrict heatingScience and Technology for the Built Environment
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