Academic literature on the topic 'Consensus functions'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Consensus functions.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Consensus functions"
Crown, Gary D., Melvin F. Janowitz, and Robert C. Powers. "Neutral consensus functions." Mathematical Social Sciences 25, no. 3 (May 1993): 231–50. http://dx.doi.org/10.1016/0165-4896(93)90029-i.
Full textGodfrey-Smith, Peter. "FUNCTIONS: CONSENSUS WITHOUT UNITY." Pacific Philosophical Quarterly 74, no. 3 (September 1993): 196–208. http://dx.doi.org/10.1111/j.1468-0114.1993.tb00358.x.
Full textManita, Ghaith, Riadh Khanchel, and Mohamed Limam. "CONSENSUS FUNCTIONS FOR CLUSTER ENSEMBLES." Applied Artificial Intelligence 26, no. 6 (July 2012): 598–614. http://dx.doi.org/10.1080/08839514.2012.687668.
Full textBarthélemy, Jean-Pierre, F. R. McMorris, and R. C. Powers. "Dictatorial consensus functions on n-trees." Mathematical Social Sciences 25, no. 1 (December 1992): 59–64. http://dx.doi.org/10.1016/0165-4896(92)90025-z.
Full textBen-Arieh, D., T. Easton, and B. Evans. "Minimum Cost Consensus With Quadratic Cost Functions." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 39, no. 1 (January 2009): 210–17. http://dx.doi.org/10.1109/tsmca.2008.2006373.
Full textCROSSON, BRUCE, and KATHLEEN Y. HAALAND. "Subcortical functions in cognition: Toward a consensus." Journal of the International Neuropsychological Society 9, no. 7 (November 2003): 1027–30. http://dx.doi.org/10.1017/s1355617703970068.
Full textMonjardet, Bernard, and Vololonirina Raderanirina. "Lattices of choice functions and consensus problems." Social Choice and Welfare 23, no. 3 (December 2004): 349–82. http://dx.doi.org/10.1007/s00355-003-0251-9.
Full textMirkin, Boris, and Fred S. Roberts. "Consensus functions and patterns in molecular sequences." Bulletin of Mathematical Biology 55, no. 4 (July 1993): 695–713. http://dx.doi.org/10.1007/bf02460669.
Full textMIRKIN, B., and F. ROBERTS. "Consensus functions and patterns in molecular sequences." Bulletin of Mathematical Biology 55, no. 4 (1993): 695–713. http://dx.doi.org/10.1016/s0092-8240(05)80185-5.
Full textPowers, R. C., and J. M. White. "Wilson's theorem for consensus functions on hierarchies." Discrete Applied Mathematics 156, no. 8 (April 2008): 1321–29. http://dx.doi.org/10.1016/j.dam.2007.05.034.
Full textDissertations / Theses on the topic "Consensus functions"
Zanella, Filippo. "A Consensus Approach to Distributed Convex Optimization in Multi-Agent Systems." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423080.
Full textIn questa tesi viene affrontato il problema dell'ottimizzazione distribuita non vincolata di funzioni convesse. Lo scenario è costituito da una rete di agenti interconnessi, ognuno dei quali è dotato di una funzione costo locale convessa ed è soggetto a vincoli di comunicazione. Ogni agente vuole collaborare per calcolare il minimo della somma dei costi locali. Viene proposta una soluzione che combina algoritmi di average consensus con concetti di separazione delle scale temporali, propri della teoria del controllo non lineare. Tale strategia, denotata come Newton-Raphson Consensus, si dimostra convergere globalmente al minimo richiesto, sotto opportune ipotesi. Intuitivamente, l'algoritmo permette agli agenti di calcolare in maniera distribuita e di aggiornare sequenzialmente una direzione approssimata alla Newton-Raphson, tramite specifici rapporti di average consensus. Viene proposta una versione sincrona del Newton-Raphson Consensus, validata sia per funzioni scalari che vettoriali, proponendo nel secondo caso alcune strategie alternative volte a bilanciare le prestazioni, in termini di requisiti computazionali e di comunicazione, con una adeguata velocità di convergenza. Vengono presentate prove analitiche di convergenza e simulazioni numeriche che evidenziano come la velocità di convergenza del Synchronous Newton-Raphson Consensus è comparabile con strategie di ottimizzazione alternative quali l'Alternating Direction Method of Multipliers, il Distributed Subgradient Method e il Distributed Control Method. La trattazione si completa con l'analisi della velocità di convergenza del Synchronous Newton-Raphson Consensus, comparata con quella di un Gradient Descent Consensus, sotto l'ipotesi semplificativa di funzioni costo quadratiche. Vengono derivate condizioni sufficienti che garantiscono la convergenza di tali algoritmi. Da queste condizioni si ottengono espressioni in forma chiusa che possono essere utilizzate per regolare i parametri che caratterizzano gli algoritmi e per massimizzare la velocità di convergenza. Si evidenzia che nonostante queste formule siano derivate assumendo funzioni di costo (locali) quadratiche, esse possono essere usate come metodologie di riferimento per la regolazione dei parametri degli algoritmi in situazioni generali. Infine, viene proposta una versione asincrona del Newton-Raphson Consensus. Oltre ad avere una ridotta complessità computazionale e minimi requisiti di comunicazione, questa tecnica richiede poca coordinazione tra gli agenti e si mantiene valida in topologie tempo-varianti. Ancora una volta, viene dimostrato analiticamente, sotto opportune ipotesi, che l'Asynchronous Newton-Raphson Consensus ha proprietà di convergenza locali o globali. Mediante simulazioni numeriche vengono corroborati tali risultati e vengono confrontate le prestazioni di tale algoritmo con altri metodi di ottimizzazione distribuita quali l'Asynchronous Fast Newton-Raphson Consensus, l'Asynchronous Distributed Subgradient Method, l'Asynchronous Alternating Direction Method of Multipliers e il Pairwise Equalizing Method.
Franciscani, Juliana de Fátima [UNESP]. "Consenso Iterativo: geração de implicantes primos para minimização de funções booleanas com múltiplas saídas." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/144517.
Full textApproved for entry into archive by Felipe Augusto Arakaki (arakaki@reitoria.unesp.br) on 2016-11-03T19:07:45Z (GMT) No. of bitstreams: 1 franciscani_jf_me_ilha.pdf: 3638504 bytes, checksum: 6ca7f15a8be8ef019afd3f8e0ecc1e52 (MD5)
Made available in DSpace on 2016-11-03T19:07:45Z (GMT). No. of bitstreams: 1 franciscani_jf_me_ilha.pdf: 3638504 bytes, checksum: 6ca7f15a8be8ef019afd3f8e0ecc1e52 (MD5) Previous issue date: 2016-08-31
Com a evolução e difusão do desenvolvimento de equipamentos utilizando microtecnologia e nanotecnologia, circuitos cada vez menores, mais eficientes e que consomem menos energia, são necessários. Os métodos de minimização de funções booleanas tornam-se relevantes por possibilitarem a otimização de circuitos lógicos, através da geração de circuitos que possuam a mesma funcionalidade, porém, minimizados. Estudos na área de minimização de funções booleanas são realizados há muito tempo, e estão sendo adaptados às novas tecnologias. A geração de implicantes primos de uma função booleana é um dos passos para a cobertura dos mintermos da função e, consequentemente, para a obtenção da função de custo mínimo. Neste trabalho, a Primeira Fase do Método de Quine-McCluskey para Funções Booleanas com Múltiplas Saídas (QMM) foi implementada para posterior comparação com os Métodos Propostos GPMultiplo e MultiGeraPlex (baseados na filosofia do algoritmo GeraPlex). Os métodos propostos geram os implicantes primos de uma função booleana com múltiplas saídas e utilizam a operação de consenso iterativo para comparar dois termos. Os resultados obtidos, através da comparação do GPMultiplo, MultiGeraPlex e da Primeira Fase do Método de QMM, puderam comprovar que a aplicação dos métodos propostos torna-se mais viável e vantajosa por permitir menor tempo de execução e uso de memória, menor quantidade de implicantes gerados e de comparações entre os termos.
With the evolution and spread of the development of equipment using microtechnology and nanotechnology, circuits in need are smaller, more efficient and consume less power. Methods of Minimizing Boolean Functions become important as they allow optimization of logic circuits by generating circuits having the same functionality, but minimized. Studies in Minimizing Boolean Functions area are carried out long ago, and are being adapted to new technologies. The generation of prime implicants of a Boolean function is one of the steps for covering the function of the minterms, and consequently to obtain the minimum cost function. In this work, the first phase of the Quine-McCluskey Method for Booleans Functions with Multiple Output (QMM) was implemented for comparison with Proposed Methods GPMultiplo and MultiGeraPlex (based on the philosophy of GeraPlex algorithm). The proposed methods generates the prime implicants of a Boolean Function with Multiple Output and using the iterative consensus operation to compare two terms. The results obtained by comparing the GPMultiplo, MultiGeraPlex and the first phase of the QMM Method, were able to prove that the application of the proposed methods becomes more feasible and advantageous, by allowing smaller execution time, number of implicants and number of comparisons.
Franciscani, Juliana de Fátima. "Consenso Iterativo : geração de implicantes primos para minimização de funções booleanas com múltiplas saídas /." Ilha Solteira, 2016. http://hdl.handle.net/11449/144517.
Full textResumo: Com a evolução e difusão do desenvolvimento de equipamentos utilizando microtecnologia e nanotecnologia, circuitos cada vez menores, mais eficientes e que consomem menos energia, são necessários. Os métodos de minimização de funções booleanas tornam-se relevantes por possibilitarem a otimização de circuitos lógicos, através da geração de circuitos que possuam a mesma funcionalidade, porém, minimizados. Estudos na área de minimização de funções booleanas são realizados há muito tempo, e estão sendo adaptados às novas tecnologias. A geração de implicantes primos de uma função booleana é um dos passos para a cobertura dos mintermos da função e, consequentemente, para a obtenção da função de custo mínimo. Neste trabalho, a Primeira Fase do Método de Quine-McCluskey para Funções Booleanas com Múltiplas Saídas (QMM) foi implementada para posterior comparação com os Métodos Propostos GPMultiplo e MultiGeraPlex (baseados na filosofia do algoritmo GeraPlex). Os métodos propostos geram os implicantes primos de uma função booleana com múltiplas saídas e utilizam a operação de consenso iterativo para comparar dois termos. Os resultados obtidos, através da comparação do GPMultiplo, MultiGeraPlex e da Primeira Fase do Método de QMM, puderam comprovar que a aplicação dos métodos propostos torna-se mais viável e vantajosa por permitir menor tempo de execução e uso de memória, menor quantidade de implicantes gerados e de comparações entre os termos.
Mestre
Bisiach, Jonathon, and Victor Elfving. "PUF-enabled blockchain for IoT security : A comparative study." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45589.
Full textSergi, Bruno S. "Economics in transition in Eastern Europe and the function of the Bruxelles consensus." Thesis, University of Greenwich, 2007. http://gala.gre.ac.uk/8246/.
Full textGlaab, Enrico. "Analysing functional genomics data using novel ensemble, consensus and data fusion techniques." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12727/.
Full textRossl, Anthony. "A Synthetic Acetylation Substrate to Study Gcn5 Targeting and Function in Yeast." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38300.
Full textGaldi, Paola. "Building functional neuromarkers from resting state fMRI to describe physiopathological traits." Doctoral thesis, Universita degli studi di Salerno, 2018. http://hdl.handle.net/10556/3041.
Full textThe overarching goal of this work has been that of devising novel methods for building functional neuromarkers from resting-state fMRI data to describe healthy and pathological human behaviour. Observing spontaneous uctuations of the BOLD signal, resting-state fMRI allows to have an insight into the functional organisation of the brain and to detect functional networks that are consistent across subjects. Studying how patterns of functional connectivity vary both in healthy subjects and in subjects a ected by a neurodegenerative disease is a way to shed light on the physiological and pathological mechanisms governing our nervous system. The rst part of this thesis is devoted to the description of fully data-driven feature extraction techniques based on clustering aimed at supporting the diagnosis of neurodegenerative diseases (e.g., amyotrophic lateral sclerosis and Parkinson's disease). The high-dimensional nature of resting state fMRI data implies the need of suitable feature selection techniques. Traditional univariate techniques are fast and straightforward to interpret, but are unable to unveil relationships among multiple features. For this reason, this work presents a methodology based on consensus clustering, a particular approach to the clustering problem that consists in combining di erent partitions of the same data set to produce more stable solutions. One of the objectives of fMRI data analysis is to determine regions that show an abnormal activity with respect to a healthy brain and this is often attained with comparative statistical models applied to single voxels or brain parcels within one or several functional networks. Here, stochastic rank aggregation is applied to identify brain regions that exhibit a coherent behaviour in groups of subjects a ected by the same disorder. The proposed methodology was validated on real data and the results are consistent with previous literature, thus indicating that this approach might be suitable to support early diagnosis of neurodegenerative diseases... [edited by Author]
XXX ciclo
Robinson, Joanne Claire. "Structure and functional studies of the short consensus repeats of the human complement receptor type 1." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342847.
Full textAustin, Philip Daniel. "International Delphi study to assess the need for multiaxial criteria in diagnosis and management of functional gastrointestinal disorders." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15842.
Full textBooks on the topic "Consensus functions"
A, Drossman Douglas, ed. Rome II: The functional gastrointestinal disorders : diagnosis, pathophysiology, and treatment : a multinational consensus. 2nd ed. McLean, VA: Degnon Associates, 2000.
Find full textA, Drossman Douglas, ed. The Functional gastrointestinal disorders: Diagnosis, pathophysiology, and treatment : a multinational consenus. Boston: Little, Brown, 1994.
Find full text1942-, Weinreb Robert N., Greve Erik L, Greenfield David S, Anderson Douglas R. 1938-, and Association of International Glaucoma Societies., eds. Glaucoma diagnosis structure and function: Reports and consensus statements of the 1st global AIGS meeting on 'structure and function in the management of glaucoma'. The Hague, Netherlands: Kugler Publications, 2004.
Find full textLondon College of Printing and Distributive Trades. BA MPD Art and Design History dissertation 1991: The development of streamlining in the nineteen thirties: a consensus of taste and function. London: LCPDT, 1991.
Find full textThe Essential Public Health Functions in the Americas: A Renewal for the 21st Century. Conceptual Framework and Description. Organización Panamericana de la Salud, 2020. http://dx.doi.org/10.37774/9789275122648.
Full textLewens, Tim. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198823650.003.0001.
Full textGlaucoma diagnosis structure and function: Reports and consensus statements of the 1st global AIGS consensus meeting on 'Structure and function in the management of glaucoma'. The Hague: Kugler, 2004.
Find full text(Editor), Douglas A. Drossman, Joel E. Richer (Editor), and Nicholas Talley (Editor), eds. The Functional Gastrointestinal Disorders: Diagnosis, Pathophsiology, and Treatment: A Multinational Consensus. 3rd ed. Degnon and Associates, 1997.
Find full textDrossman, Douglas A., and Joel E. Richer. The Functional Gastrointestinal Disorders: Diagnosis, Pathophysiology, and Treatment : A Multinational Consensus. Little Brown & Co, 1994.
Find full textBonotti, Matteo. Political Parties and the Overlapping Consensus. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198739500.003.0006.
Full textBook chapters on the topic "Consensus functions"
Beliakov, Gleb, Tomasa Calvo, and Simon James. "On Penalty-Based Aggregation Functions and Consensus." In Consensual Processes, 23–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20533-0_2.
Full textCandeal, Juan Carlos, Esteban Induráin, and José Alberto Molina. "The Consensus Functional Equation in Agreement Theory." In Aggregation Functions in Theory and in Practise, 219–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39165-1_24.
Full textCrown, Gary D., Melvin F. Janowitz, and Robert C. Powers. "An Ordered Set Approach to Neutral Consensus Functions." In New Approaches in Classification and Data Analysis, 102–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-51175-2_10.
Full textMarco-Detchart, Cedric, Graçaliz Pereira Dimuro, Mikel Sesma-Sara, Aitor Castillo-Lopez, Javier Fernandez, and Humberto Bustince. "Consensus Image Feature Extraction with Ordered Directionally Monotone Functions." In Communications in Computer and Information Science, 155–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95312-0_14.
Full textSchneider, Guilherme, Bruno Moura, Eduardo Monks, Helida Santos, Adenauer Yamin, and Renata Reiser. "Int-FLBCC: Exploring Fuzzy Consensus Measures via Penalty Functions." In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 434–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08971-8_36.
Full textBronevich, Andrey G., and Igor N. Rozenberg. "Event-Based Transformations of Set Functions and the Consensus Requirement." In Modeling Decisions for Artificial Intelligence, 77–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00202-2_7.
Full textBortot, Silvia, Ricardo Alberto Marques Pereira, and Anastasia Stamatopoulou. "The Binomial Decomposition of the Single Parameter Family of GB Welfare Functions." In Soft Computing Applications for Group Decision-making and Consensus Modeling, 71–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60207-3_5.
Full textBoucheham, Anouar, and Mohamed Batouche. "Massively Parallel Feature Selection Based on Ensemble of Filters and Multiple Robust Consensus Functions for Cancer Gene Identification." In Studies in Computational Intelligence, 93–108. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14654-6_6.
Full textLubchenco, Jane, and Peter M. Haugan. "The Ocean Transition: What to Learn from System Transitions." In The Blue Compendium, 445–83. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16277-0_12.
Full textTraut, Thomas W. "The functions and consensus motifs of nine types of peptide segments that form different types of nucleotide-binding sites." In EJB Reviews 1994, 105–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79502-2_8.
Full textConference papers on the topic "Consensus functions"
Lee, Unsik, and Mehran Mesbahi. "Constrained consensus via logarithmic barrier functions." In 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011). IEEE, 2011. http://dx.doi.org/10.1109/cdc.2011.6161496.
Full textSouza Oliveira, Lizandro de, Adenauer Correa Yamin, Renata Hax Sander Reiser, and Helida Salles Santos. "f-HybridMem: A consensual analysis via fuzzy consensus measures and penalty functions." In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2022. http://dx.doi.org/10.1109/fuzz-ieee55066.2022.9882879.
Full text"Unsupervised Consensus Functions Applied to Ensemble Biclustering." In International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004789800300039.
Full textAndreasson, M., D. V. Dimarogonas, and K. H. Johansson. "Undamped nonlinear consensus using integral Lyapunov functions." In 2012 American Control Conference - ACC 2012. IEEE, 2012. http://dx.doi.org/10.1109/acc.2012.6314733.
Full textXU, Sen, Tian ZHOU, and Hua Long YU. "Analysis and Comparisons of Clustering Consensus Functions." In 2nd International Conference on Electronic and Mechanical Engineering and Information Technology. Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/emeit.2012.144.
Full textTennakoon, Ruwan, David Suter, Erchuan Zhang, Tat-Jun Chin, and Alireza Bab-Hadiashar. "Consensus Maximisation Using Influences of Monotone Boolean Functions." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00289.
Full textZhang, Erchuan, David Suter, Ruwan Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, and Syed Zulqarnain Gilani. "Maximum Consensus by Weighted Influences of Monotone Boolean Functions." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00876.
Full textPanteley, Elena, Antonio Loria, and Srikant Sukumar. "Strict Lyapunov functions for consensus under directed connected graphs." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143719.
Full textFitzsimmons, Zack, and Edith Hemaspaandra. "Kemeny Consensus Complexity." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/28.
Full textGusmão, Renê, Allan Juan Araújo, and Francisco Carvalho. "A distributed approach to cluster multi-view relational data." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2024. http://dx.doi.org/10.21528/cbic2023-098.
Full textReports on the topic "Consensus functions"
Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/aac2dxlrxcebk469.
Full textLang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/sw0snl2upp0gv469.
Full textMontville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.
Full textSkelly, Andrea C., Roger Chou, Joseph R. Dettori, Erika D. Brodt, Andrea Diulio-Nakamura, Kim Mauer, Rongwei Fu, et al. Integrated and Comprehensive Pain Management Programs: Effectiveness and Harms. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer251.
Full textSripad, Pooja. Exploring barriers and enablers of service provision for survivors of human trafficking in the Bay Area: An action research study. Population Council, 2021. http://dx.doi.org/10.31899/sbsr2021.1067.
Full textWang, Li Fang, Yan Ting Cao, Tegeleqi Bu, Lin Fu, Jun Li Liu, and Jing Zhao. Do We Receive Cytomegalovirus Vaccination Before Solid Organ Transplant: a Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0143.
Full textDaudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, December 2021. http://dx.doi.org/10.53328/uxuo4751.
Full textOffice of the Special Project Facilitator’s Lessons Learned: Sri Lanka Integrated Road Investment Program. Asian Development Bank, January 2021. http://dx.doi.org/10.22617/arm200271-2.
Full text