المؤلفون: Vivar, Carmen, Peterson, Ben, Pinto, Alejandro, Janke, Emma, van Praag, Henriette

المصدر: eNeuro. 10(5)

مصطلحات موضوعية: adult neurogenesis, aging, dentate gyrus, interneurons, perirhinal cortex, running, Mice, Male, Animals, Neurogenesis, Neurons, Hippocampus, Spatial Memory, Running, Dentate Gyrus

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/9xw738z7Test

المؤلفون: Moore, Amelia EB, Burns, James E, Sally, Deirdre, Milinkovic, Ana, Krokos, Georgios, John, Joemon, Rookyard, Christopher, Borca, Alessandro, Pool, Erica RM, Tostevin, Anna, Harman, Alyss, Dulnoan, Dwight S, Gilson, Richard, Arenas-Pinto, Alejandro, Cook, Gary JR, Saunders, John, Dunn, David, Blake, Glen M, Pett, Sarah L

المصدر: AIDS , 38 (4) pp. 521-529. (2024)

مصطلحات موضوعية: Bone density, bone turnover, HIV, PET/computed tomography, tenofovir

وصف الملف: text

العلاقة: https://discovery.ucl.ac.uk/id/eprint/10188680/1/bone_turnover_change_after_randomized_switch_from.10.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10188680Test/

الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10188680/1/bone_turnover_change_after_randomized_switch_from.10.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10188680Test/

المؤلفون: Paton, Nicholas I, Stöhr, Wolfgang, Arenas-Pinto, Alejandro, Clarke, Amanda, Williams, Ian, Johnson, Margaret, Orkin, Chloe, Chen, Fabian, Lee, Vincent, Winston, Alan, Gompels, Mark, Fox, Julie, Sanders, Karen, Dunn, David T, Protease Inhibitor monotherapy Versus Ongoing Triple therapy, (PIVOT) Trial Team

المصدر: EClinicalMedicine , 69 , Article 102457. (2024)

مصطلحات موضوعية: Darunavir, HIV, Protease inhibitor monotherapy, Randomised, Simplification

وصف الملف: text

العلاقة: https://discovery.ucl.ac.uk/id/eprint/10187474/1/eClinMed%202024%20PIVOT%20Long-term%20follow-up.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10187474Test/

الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10187474/1/eClinMed%202024%20PIVOT%20Long-term%20follow-up.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10187474Test/

المؤلفون: Moore, Amelia E.B., Burns, James E., Sally, Deirdre, Milinkovic, Ana, Krokos, Georgios, John, Joemon, Rookyard, Christopher, Borca, Alessandro, Pool, Erica R.M., Tostevin, Anna, Harman, Alyss, Dulnoan, Dwight S., Gilson, Richard, Arenas-Pinto, Alejandro, Cook, Gary J.R., Saunders, John, Dunn, David, Blake, Glen M., Pett, Sarah L.

المصدر: AIDS ; volume 38, issue 4, page 521-529 ; ISSN 0269-9370 1473-5571

الإتاحة: https://doi.org/10.1097/qad.0000000000003811Test

المؤلفون: Paton, Nicholas I., Stöhr, Wolfgang, Arenas-Pinto, Alejandro, Clarke, Amanda, Williams, Ian, Johnson, Margaret, Orkin, Chloe, Chen, Fabian, Lee, Vincent, Winston, Alan, Gompels, Mark, Fox, Julie, Sanders, Karen, Dunn, David T., Fisher, Martin, Hadley, Wendy, Stacey, David, Byrne, Pat, De Esteban, Nahum, Pellegrino, Pierre, Haddow, Lewis, Hand, James, De Souza, Carl, Murthen, Lisa, Crawford-Jones, Andrew, Wilson, Ruth, Green, Elizabeth, Masterson, John, Patel, Kamlesh, Howe, Rebecca, Mullaney, Scott, Jennings, Louise, Beeching, Nicholas, Tamaklo, Rebecca, Teague, Alistair, Jendrulek, Isabelle, Tiraboschi, Juan Manuel, Wilkins, Ed, Clowes, Yvonne, Thompson, Andrew

المساهمون: Health Technology Assessment Programme, National Institute for Health and Care Research

المصدر: eClinicalMedicine ; volume 69, page 102457 ; ISSN 2589-5370

مصطلحات موضوعية: General Medicine

الإتاحة: https://doi.org/10.1016/j.eclinm.2024.102457Test
https://api.elsevier.com/content/article/PII:S2589537024000361?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2589537024000361?httpAccept=text/plainTest

المؤلفون: Zhu, Xingliang, Joo, Yuyoung, Bossi, Simone, McDevitt, Ross A., Xie, Aoji, Wang, Yue, Xue, Yutong, Su, Shuaikun, Lee, Seung Kyu, Sah, Nirnath, Zhang, Shiliang, Ye, Rong, Pinto, Alejandro, Zhang, Yongqing, Araki, Kimi, Araki, Masatake, Morales, Marisela, Mattson, Mark P., van Praag, Henriette, Wang, Weidong

المساهمون: National Institute on Aging, National Institutes of Health

المصدر: Progress in Neurobiology ; volume 233, page 102568 ; ISSN 0301-0082

مصطلحات موضوعية: General Neuroscience

الإتاحة: https://doi.org/10.1016/j.pneurobio.2024.102568Test
https://api.elsevier.com/content/article/PII:S0301008224000042?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0301008224000042?httpAccept=text/plainTest

المؤلفون: Lundgren, Jens D, Babiker, Abdel G, Sharma, Shweta, Grund, Birgit, Phillips, Andrew N, Matthews, Gail, Kan, Virginia L, Aagaard, Bitten, Abo, Inka, Alston, Beverly, Arenas-Pinto, Alejandro, Avihingsanon, Anchalee, Badal-Faesen, Sharlaa, Brites, Carlos, Carey, Cate, Casseb, Jorge, Clarke, Amanda, Collins, Simon, Corbelli, Giulio Maria, Dao, Sounkalo, Denning, Eileen T, Emery, Sean, Eriobu, Nnakelu, Florence, Eric, Furrer, Hansjakob, Fätkenheuer, Gerd, Gerstoft, Jan, Gisslén, Magnus, 1962, Goodall, Katharine, Henry, Keith, Horban, Andrzej, Hoy, Jennifer, Hudson, Fleur, Azwa, Raja Iskandar Shah Raja, Kedem, Eynat, Kelleher, Anthony, Kityo, Cissy, Klingman, Karin, Rosa, Alberto La, Leturque, Nicolas, Lifson, Alan R, Losso, Marcelo, Lutaakome, Joseph, Madero, Juan Sierra, Mallon, Patrick, Mansinho, Kamal, Filali, Kamal Marhoum El, Molina, Jean-Michel, Murray, Daniel D, Nagalingeswaran, Kumarasamy, Nozza, Silvia, Ormaasen, Vidar, Paredes, Roger, Peireira, Luiz Carlos, Pillay, Sandy, Polizzotto, Mark N, Raben, Dorthe, Rieger, Armin, Sanchez, Adriana, Schechter, Mauro, Sedlacek, Dalibor, Staub, Therese, Touloumi, Giota, Turner, Melissa, Madruga, Jose Valdez, Vjecha, Michael, Wolff, Marcelo, Wood, Robin, Zilmer, Kai, Lane, H Clifford, Neaton, James D

المساهمون: Göteborgs universitet, Sahlgrenska akademin, Institutionen för biomedicin, avdelningen för infektionssjukdomar, Gothenburg University, Sahlgrenska Academy, Institute of Biomedicine, Department of Infectious Medicine

المصدر: NEJM evidence. 2(3)

مصطلحات موضوعية: Infektionsmedicin, Infectious Medicine

الوصول الحر: https://gup.ub.gu.se/publication/331873Test

المؤلفون: Piñeres-Espitia Gabriel, Shariq Aziz Butt, Estévez-Ortiz Francisco, Cama-Pinto Alejandro, Yassine Maleh

المصدر: EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-18 (2022)

مصطلحات موضوعية: 6LoWPAN, Wireless sensor networks (WSN), Routing protocol, Low-power listening (LPL), Network monitoring and measurements, Flash flood, Telecommunication, TK5101-6720, Electronics, TK7800-8360

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1687-1499Test

الوصول الحر: https://doaj.org/article/bee96d1acd4b4a838b717ca32bfe0193Test

المؤلفون: Barrios-Ulloa, Alexis, Cama-Pinto, Alejandro, De-La-Hoz-Franco, Emiro, Ramírez-Velarde, Raúl, Cama-Pinto, Dora

المصدر: https://www.mdpi.com/2077-0472/13/11/2046Test.

مصطلحات موضوعية: Agriculture, Cassava crops, Machine learning, Radio wave propagation models, Wireless sensor networks

وصف الملف: 15 páginas; application/pdf

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Modeling Radio Wave Propagation for Wireless Sensor Networks in Vegetated Environments: A Systematic Literature Review. Sensors 2022, 22, 5285. [CrossRef]; 6. Sander-Frigau, M.; Zhang, T.; Lim, C.Y.; Zhang, H.; Kamal, A.E.; Somani, A.K.; Hey, S.; Schnable, P. A Measurement Study of TVWS Wireless Channels in Crop Farms. In Proceedings of the 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Denver, CO, USA, 4–7 October 2021; pp. 344–354. [CrossRef]; 7. Pal, P.; Sharma, R.P.; Tripathi, S.; Kumar, C.; Ramesh, D. 2.4 GHz RF Received Signal Strength Based Node Separation in WSN Monitoring Infrastructure for Millet and Rice Vegetation. IEEE Sens. J. 2021, 21, 18298–18306. [CrossRef]; 8. Cama-Pinto, D.; Damas, M.; Holgado-Terriza, J.A.; Gómez-Mula, F.; Cama-Pinto, A. Path loss determination using linear and cubic regression inside a classic tomato greenhouse. Int. J. Environ. Res. Public Health 2019, 16, 1744. [CrossRef]; 9. Ganev, Z. Log-normal shadowing model for outdoor propagation between sensor nodes. In Proceedings of the 2018 20th International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas, Bulgaria, 3–6 June 2018; pp. 9–12.; 11. Navarro, A.; Guevara, D.; Florez, G.A. An Adjusted Propagation Model for Wireless Sensor Networks in Corn Fields. In Proceedings of the 020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science, Rome, Italy, 29 August–5 September 2020; pp. 1–3.; 12. FAO. Save and Grow: Cassava a Guide to Sustainable Production Intensification. Available online: https://www.fao.orgTest/ publications/card/en/c/c3ef3b0e-492e-5ea8-816c-8d1e3b86d66b/ (accessed on 4 April 2023).; 13. OECD-FAO Agricultural Outlook 2020–2029. Available online: https://www.oecd-ilibrary.org/agriculture-and-food/oecd-faoagricultural-outlook-2020-2029_1112c23b-enTest (accessed on 4 April 2023).; 14. Caicedo-Ortiz, J.G.; De-la-Hoz-Franco, E.; Morales Ortega, R.; Piñeres-Espitia, G.; Combita-Niño, H.; Estévez, F.; Cama-Pinto, A. Monitoring system for agronomic variables based in WSN technology on cassava crops. Comput. Electron. Agric. 2018, 145, 275–281. [CrossRef]; 15. Manick; Srivastava, J. Cassava Leaf Disease Detection Using Deep Learning. In Proceedings of the 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, ON, Canada, 1–4 June 2022. [CrossRef]; 16. Maryum, A.; Akram, M.U.; Salam, A.A. Cassava Leaf Disease Classification using Deep Neural Networks. In Proceedings of the 2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Karachi, Pakistan, 11–13 October 2021; pp. 32–37. [CrossRef]; 17. Chen, C.C.; Ba, J.Y.; Li, T.J.; Chan, C.C.K.; Wang, K.C.; Liu, Z. EfficientNet: A low-bandwidth IoT image sensor framework for cassava leaf disease classification. Sens. 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In Proceedings of the 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Bandung, Indonesia, 23–25 August 2021; pp. 105–110. [CrossRef]; 22. Juan-Llacer, L.; Molina-Garcia-Pardo, J.M.; Sibille, A.; Torrico, S.A.; Rubiola, L.M.; Martinez-Ingles, M.T.; Rodriguez, J.V.; PascualGarcia, J. Path Loss Measurements and Modelling in a Citrus Plantation in the 1800 MHz, 3.5 GHz and 28 GHz in LoS. In Proceedings of the 2022 16th European Conference on Antennas and Propagation (EuCAP), Madrid, Spain, 27 March–1 April 2022. [CrossRef]; 23. Wu, H.; Zhu, H.; Han, X.; Xu, W. Layout optimization for greenhouse WSN based on path loss analysis. Comput. Syst. Sci. Eng. 2021, 37, 89–104. [CrossRef]; 24. Kale, A.; Nguyen, T.; Harris, F.C.; Li, C.; Zhang, J.; Ma, X. Provenance documentation to enable explainable and trustworthy AI: A literature review. Data Intell. 2023, 5, 139–162. [CrossRef]; 25. Oroza, C.A.; Zhang, Z.; Watteyne, T.; Glaser, S.D. A Machine-Learning-Based Connectivity Model for Complex Terrain Large-Scale Low-Power Wireless Deployments. IEEE Trans. Cogn. Commun. Netw. 2017, 3, 576–584. [CrossRef]; 26. Kochhar, A.; Kumar, N.; Arora, U. Signal Assessment Using ML for Evaluation of WSN Framework in greenhouse monitoring. Int. J. Sensors Wirel. Commun. Control 2022, 12, 669–679. [CrossRef]; 27. ITU-R. ITU-R Recommendation P.833-7 Attenuation in Vegetation; ITU-R: Geneva, Switzerland, 2012; Volume 7.; 28. Olasupo, T.O.; Otero, C.E. The Impacts of Node Orientation on Radio Propagation Models for Airborne-Deployed Sensor Networks in Large-Scale Tree Vegetation Terrains. IEEE Trans. Syst. Man Cybern. Syst. 2020, 50, 256–269. [CrossRef]; 29. Sabri, N.; Mohammed, S.S.; Fouad, S.; Syed, A.A.; Al-Dhief, F.T.; Raheemah, A. Investigation of Empirical Wave Propagation Models in Precision Agriculture. MATEC Web Conf. 2018, 150, 06020. [CrossRef]; 30. Raheemah, A.; Sabri, N.; Salim, M.S.; Ehkan, P.; Ahmad, R.B. New empirical path loss model for wireless sensor networks in mango greenhouses. Comput. Electron. Agric. 2016, 127, 553–560. [CrossRef]; 31. Anzum, R.; Habaebi, M.H.; Islam, M.R.; Hakim, G.P.N.; Khandaker, M.U.; Osman, H.; Alamri, S.; AbdElrahim, E. A Multiwall Path-Loss Prediction Model Using 433 MHz LoRa-WAN Frequency to Characterize Foliage’s Influence in a Malaysian Palm Oil Plantation Environment. Sensors 2022, 22, 5397. [CrossRef]; 32. Dogan, H. A new empirical propagation model depending on volumetric density in citrus orchards for wireless sensor network applications at sub-6 GHz frequency region. Int. J. RF Microw. Comput. Eng. 2021, 31, e22778. [CrossRef]; 33. Shaik, M.; Kabanni, A.; Nazeema, N. Millimeter wave propagation measurments in forest for 5G Wireless sensor communications. In Proceedings of the 2016 16th Mediterranean Microwave Symposium (MMS), Abu Dhabi, United Arab Emirates, 14–16 November 2016; pp. 1–4. [CrossRef]; 34. 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Agriculture 2023, 13, 2046. https://doi.org/10.3390Test/ agriculture13112046; https://hdl.handle.net/11323/10944Test; Corporación Universidad de la Costa; REDICUC – Repositorio CUC; https://repositorio.cuc.edu.coTest/

الإتاحة: https://hdl.handle.net/11323/10944Test
https://repositorio.cuc.edu.coTest/

المؤلفون: Ojeda Beltran, Adelaida, Solano-Barliza, Andrés D., ARRUBLA HOYOS, WILSON DE JESÚS, Ortega, Danny Daniel, Cama-Pinto, Dora, Holgado-Terriza, Juan Antonio, Damas, Miguel, Toscano-Vanegas, Gilberto, Cama-Pinto, Alejandro

المصدر: https://www.mdpi.com/2071-1050/15/13/10297Test.

مصطلحات موضوعية: Artificial intelligence, Machine learning, Data mining, K-mean, Youth entrepreneurship

جغرافية الموضوع: Medellín, Colombia

وصف الملف: 19 páginas; application/pdf

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Gieure, C.; del Mar Benavides-Espinosa, M.; Roig-Dobón, S. The entrepreneurial process: The link between intentions and behavior. J. Bus. Res. 2020, 112, 541–548. [CrossRef]; 19; 13; 15; Ojeda-Beltrán, A.; Solano-Barliza, A.; Arrubla-Hoyos, W.; Ortega, D.D.; Cama-Pinto, D.; Holgado-Terriza, J.A.; Damas, M.; Toscano-Vanegas, G.; Cama-Pinto, A. Characterisation of Youth Entrepreneurship in MedellínColombia Using Machine Learning. Sustainability 2023, 15, 10297. https://doi.org/10.3390Test/ su151310297; https://hdl.handle.net/11323/10297Test; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.coTest/

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