Results 11 to 20 of about 1,021,436 (277)

Producer nutritional quality controls ecosystem trophic structure. [PDF]

PLoS ONE, 2009
Trophic structure, or the distribution of biomass among producers and consumers, determines key ecosystem values, such as the abundance of infectious, harvestable or conservation target species, and the storage and cycling of carbon and nutrients.
Just Cebrian, Jonathan B Shurin, Elizabeth T Borer, Bradley J Cardinale, Jacqueline T Ngai, Melinda D Smith, William F Fagan   +6 more
doaj   +1 more source

VGI QUALITY CONTROL [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Abstract. This paper presents a framework for considering quality control of volunteered geographic information (VGI). Different issues need to be considered during the conception, acquisition and post-acquisition phases of VGI creation. This includes items such as collecting metadata on the volunteer, providing suitable training, giving corrective ...
Fonte, C. C., Bastin, L., Foody, G., Kellenberger, T., Kerle, N., Mooney, P., Olteanu-Raimond, A.-M., See, L.   +7 more
openaire   +7 more sources

"A manager in the minds of doctors" : a comparison of new modes of control in European hospitals [PDF]

, 2013
Background: Hospital governance increasingly combines management and professional self-governance. This article maps the new emergent modes of control in a comparative perspective and aims to better understand the relationship between medicine and ...
Burau, Viola, Correia, Tiago, Kuhlmann, Ellen, Lewandowski, Roman, Lionis, Christos, Noordegraaf, Mirko, Repullo, Jose   +6 more
core   +4 more sources

Impact of Agency Costs on the Relationship between Internal Control Quality and Earnings Management [PDF]

مجله دانش حسابداری, 2018
According to the statement of Tehran Securities and Exchange Organization (SEO), reporting important weaknesses of internal controls and designing an effective system of internal control are necessary in achieving micro and macro goals of company.
Mahdi Faghani (Ph.D), Hadi Pahlavan
doaj   +1 more source

Development of Advanced Smart Ventilation Controls for Residential Applications

Energies, 2021
This study examined the use of zoned ventilation systems using a coupled CONTAM/EnergyPlus model for new California dwellings. Several smart control strategies were developed with a target of halving ventilation-related energy use, largely through ...
Iain Walker, Brennan Less, David Lorenzetti, Michael D. Sohn   +3 more
doaj   +1 more source

Neuroconductor: an R platform for medical imaging analysis [PDF]

, 2019
Neuroconductor (https://neuroconductor.org) is an open-source platform for rapid testing and dissemination of reproducible computational imaging software.
Avants, B., Avants, B., Caffo, B.S., Caffo, B.S., Clayden, J.D., Clayden, J.D., Crainiceanu, C.M., Crainiceanu, C.M., Fortin, J.P., Fortin, J.P., Gherman, A., Gherman, A., Muschelli, J., Muschelli, J., Whitcher, B., Whitcher, B.   +15 more
core   +1 more source

The model for measuring the Quality of Sustainability Reporting and Determinants: Application Analytic Network Process Fuzzy DEMATEL-Based Technique [PDF]

Iranian Journal of Finance, 2022
Sustainability reporting is an important tool for decreasing information asymmetry, according to the stakeholders' demands for transparency. On the other hand, increasing transparency allows investors to have more appropriate evaluations of firms ...
Habib Esmaeilzadeh, Hasan Ghodrati, Hossein Jabbari, Meysam Arabzadeh   +3 more
doaj   +1 more source

Access to diagnosis and treatment of Chagas disease/infection in endemic and non-endemic countries in the XXI century. [PDF]

, 2007
In this article, Médicos Sin Fronteras (MSF) Spain faces the challenge of selecting, piecing together, and conveying in the clearest possible way, the main lessons learnt over the course of the last seven years in the world of medical care for Chagas ...
Albajar-Vinas, P, Bernal, O, Bulla, D, Morote, S, Villa, L   +4 more
core   +4 more sources

Proteomics Quality Control: Quality Control Software for MaxQuant Results [PDF]

Journal of Proteome Research, 2015
Mass spectrometry-based proteomics coupled to liquid chromatography has matured into an automatized, high-throughput technology, producing data on the scale of multiple gigabytes per instrument per day. Consequently, an automated quality control (QC) and quality analysis (QA) capable of detecting measurement bias, verifying consistency, and avoiding ...
Bielow, C., Mastrobuoni, G., Kempa, S.
openaire   +3 more sources

Operational experience with the GEM detector assembly lines for the CMS forward muon upgrade [PDF]

, 2018
The CMS Collaboration has been developing large-area triple-gas electron multiplier (GEM) detectors to be installed in the muon Endcap regions of the CMS experiment in 2019 to maintain forward muon trigger and tracking performance at the High-Luminosity ...
Abbaneo, D., Abbrescia, M., Ahmad, A., Ahmed, W., Ali, C., Altieri, P. R., Amr, M., Asghar, I., Aspell, P., Assran, Y., Avila, C., Ban, Y., Band, R., Bansal, S., Bencze, G., Beni, N., Benussi, L., Bhatnagar, V., Bhopatkar, V., Bianco, M., Bianco, S., Borgonovi, L., Bouhali, O., Braibant-Giacomelli, S., Bravo, C., Cafaro, V., Calabria, C., Caponero, M., Cassese, F., Castaneda Hernandez, A., Cavallo, F. R., Cavallo, N., Chen, G., Chhibra, S. S., Choi, S., Colafranceschi, S., Colaleo, A., Conde Garcia, A., Dabrowski, M. M., Dalchenko, M., De Lentdecker, G., De Robertis, G., Dildick, S., Dong, J., Dorney, B., Endroczi, G., Erbacher, R., Errico, F., Fallavollita, F., Giacomelli, P., Gigli, S. G., Gilmore, J., Giordano, V., Gola, M., Gonzalez Hernandez, C. F., Gruchala, M., Guiducci, L., Gupta, R., Gutierrez, A., Hadjiiska, R., Hakkarainen, T., Hasbuddin, Md., Hauser, J., Heidemann, C., Hoepfner, K., Hohlmann, M., Hoorani, H., Huang, H., Huang, T., Iaydjiev, P., Jha, V., Juodagalvis, A., Juska, E., Kamon, T., Karchin, P. E., Kaur, A., Keller, H., Khan, W. A., Kim, H., Kim, J. S., King, R., Kotsokechagia, A., Kumar, A., Kumari, P., Lee, J. S. H., Lenzi, T., Leonard, A., Leroux, P., Li, Q., Litov, L., Loddo, F., Lohan, M., Maerschalk, T., Maggi, M., Magnani, A., Majumdar, N., Makovec, A., Malhotra, S., Marinov, A., Mccoll, N., Mclean, C., Merlin, J. A., Mishra, D. K., Mohamed, S., Mohamed, T., Molnar, J., Muhammad, S., Mukhopadhyay, S., Naimuddin, Md., Netrakant, P. K., Nuzzo, S., Pant, L. M., Paolucci, P., Park, I., Passamonti, L., Passeggio, G., Pavlov, B., Peck, A., Petrow, H., Philipps, B., Piccolo, D., Pierluigi, D., Primavera, F., Purohit, A., Radogna, R., Raffone, G., Rahmani, M., Ranieri, A., Rapsevicius, V., Rashevski, G., Ressegotti, M., Riccardi, C., Rodozov, M., Romano, E., Ruiz Alvarez, J. D., Russo, A., Safonov, A., Saltzberg, D., Salva, S., Saviano, G., Shah, A., Sharma, A., Sharma, A., Sharma, R., Shopova, M., Simone, F., Singh, J. B., Soldani, E., Starling, E. R., Sturdy, J., Sultan, A., Sultanov, G., Szillasi, Z., Tavernier, F., Thyssen, F., Tuuva, T., Tytgat, M., Ujvari, B., Vai, I., Venditti, R., Verwilligen, P., Vitulo, P., Wang, D., Yang, U., Yang, X., Yang, Y., Yonamine, R., Zaleski, S., Zenoni, F.   +168 more
core   +1 more source