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1. Diabetic Retinopathy and Diabetic Macular Edema in a population of Antioquia. Cross-sectional study

Author

Bravo, Juan David, Correa, Alexandra, Bravo, Andrés, Bravo, Ricardo, and Villada, Oscar Alonso

Subjects
diabetes mellitus, diabetic retinopathy, macular edema, prevalence, tomography optical coherence, Medicine, Medicine (General), R5-920
Abstract

Introduction: Diabetes Mellitus (DM) is a worldwide epidemic disease, with significant microvascular compromise. Proliferative diabetic retinopathy (PDR) as well as diabetic macular edema (DME) are currently two of the leading causes of visual impairment and blindness in adults of productive age. Approximately one in three people with DM have diabetic retinopathy (DR), and 1 in 10 have PDR or DME. This study emphasizes in the last one, being the first one with these characteristics in Colombia. Methods: This descriptive cross-sectional study includes 1203 patients diagnosed with DM evaluated in the “No more blindness due to diabetes” diabetic retinopathy-screening program of the San Vicente Foundation Hospital in Medellín between 2017 and 2018. The presence of DR and clinical macular edema with the epidemiologic variables were evaluated in a bivariate analysis. Results: From the total number of patients with DM screened (1203), 5,4% (65) had DME, 7,7% had DM type 1 and 89,2% had DM type 2, 10,8% had PDR and 73.8% had nonproliferative diabetic retinopathy NPDR. Most of the patients (93,8%) were diagnosed de novo with DR. The median illness time was 14 years with interquartile range (IQR) between 7 and 19,5. The median glycosylated hemoglobin (HbA1C) was 8.3%(IQR:7,1-11). Optical coherence tomography (OCT) study was done in 28 out of 65 patients with DME (56 out of 130 eyes with DME), in which 85.7% of patients were confirmed to have DME and the mean central macular thickness was 249 microns (IQR:231-341) (n=48 eyes). Conclusion: DM complications were more frequent in patients suffering from DR. The median onset time of DME symptoms was found to be similar to the time of microvascular complications appear; however, it should be considered along with the patient’s metabolic control.

Published
2022
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2. Clifford Theory: A Geometrical Interpretation of Multivectorial Apparent Power

Author

Castilla, M., Bravo, Juan Carlos, Ordoñez, M., and Montaño, Juan Carlos

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

In this paper, a generalization of the concept of electrical power for periodic current and voltage waveforms based on a new generalized complex geometric algebra (GCGA) is proposed. This powerful tool permits, in n-sinusoidal/nonlinear situations, representing and calculating the voltage, current, and apparent power in a single-port electrical network in terms of multivectors. The new expressions result in a novel representation of the apparent power, similar to the Steinmetz's phasor model, based on complex numbers, but limited to the purely sinusoidal case. The multivectorial approach presented is based on the frequency-domain decomposition of the apparent power into three components: the real part and the imaginary part of the complex-scalar associated to active and reactive power respectively, and distortion power, associated to the complex-bivector. A geometrical interpretation of the multivectorial components of apparent power is discussed. Numerical examples illustrate the clear advantages of the suggested approach., Comment: 10 pages, 7 figures

Published
2024
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4. The Comprehensive Learning Diagnosis: Chile's Approach to Assess Socio-Emotional Learning in Schools. Case Study

Author

Brookings Institution, Center for Universal Education, Weinstein Jose, and Bravo Juan

Abstract

As is often the case with crises, the pandemic meant both an educational catastrophe but also an opportunity for transformation. The health and social emergencies, with their serious effects on students and their families (España, 2022; MINEDUC, 2020), prompted the search for new answers to tackle challenges that were not possible to address with existing tools. In Chile, socio-emotional learning was one area in which this duality, typical of crises, was shown: Students' socio-emotional well-being was especially hit (Ponce, Bellei & Viedma, 2020) at the same time that a new evaluation system, the Comprehensive Learning Diagnosis (DIA), was developed, making it possible for school communities to get timely evidence and act on it (Agencia de Calidad, 2022). Given its wide acceptance, this system, which also considers an academic component, seems likely to stay in Chilean education, leading to adjustments to the pre-existing national assessment system with its focus on cognitive skills and highstakes accountability for schools. In this case study, the authors will describe the DIA, starting with the context of the crisis in which it emerged, followed by its characteristics and preliminary results. They conclude with lessons learned to build a new formative assessment system and reshape--based on criterions of collaboration, trust and capacity building--the vertical relationship among the different levels of the educational system previously existing in Chile.

Published
2023

7. Automatic Identification of Hermaphrodite Papaya Applying Computer Vision and Machine Learning

Author

Jiménez, Juan Carlos Dorantes, Valverde, José Antonio Montero, Martínez-Arroyo, Miriam, Bravo, Juan Miguel Hernández, Hernández Hernández, José Luis, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Valencia-García, Rafael, editor, Bucaram-Leverone, Martha, editor, Del Cioppo-Morstadt, Javier, editor, Vera-Lucio, Néstor, editor, and Centanaro-Quiroz, Pablo Humberto, editor

Published
2023
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8. Automatic Detection of Melanoma in Human Skin Lesions

Author

Montero-Valverde, José Antonio, Organista-Vázquez, Verónica Denisse, Martínez-Arroyo, Miriam, de la Cruz-Gámez, Eduardo, Hernández-Hernández, José Luis, Hernández-Bravo, Juan Miguel, Hernández-Hernández, Mario, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Valencia-García, Rafael, editor, Bucaram-Leverone, Martha, editor, Del Cioppo-Morstadt, Javier, editor, Vera-Lucio, Néstor, editor, and Centanaro-Quiroz, Pablo Humberto, editor

Published
2023
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9. Effects of Active Learning Methodologies on the Students' Emotions, Self-Efficacy Beliefs and Learning Outcomes in a Science Distance Learning Course

Author

Jeong, Jin Su, González-Gómez, David, Cañada-Cañada, Florentina, Gallego-Picó, Alejandrina, and Bravo, Juan Carlos

Abstract

Distance education programs in higher education are gaining popularity mostly due to the flexibility of the formative programs to fit all the requirements that brick-and-mortar educational institutions are not able to provide to students. However, quite often these distance programs report feelings of isolation, lack of self-direction and management, and eventual decrease in motivation levels. Thus, the main aim of this research is to assess the effect of following an active learning methodology on the students' emotions, self-efficacy beliefs and learning outcomes in the context of a distance learning program in an Atmospheric Pollution course. According to the results, the use of these methodologies not only had a significant promotion in the positive emotions and self-efficacy beliefs, but also better learning outcomes were achieved by the students following this methodology. The results obtained in this research demonstrate that following an appropriate learning methodology in a distance program could contribute to reduce the main handicaps of these programs.

Published
2019

10. Population and comparative genetics of thermotolerance divergence between yeast species

Author

Abrams, Melanie B, Dubin, Claire A, AlZaben, Faisal, Bravo, Juan, Joubert, Pierre M, Weiss, Carly V, and Brem, Rachel B

Subjects
Biotechnology, Genetics, Human Genome, Saccharomyces cerevisiae, Thermotolerance, Phylogeny, Evolution, Molecular, Amino Acids, Genetics, Population, Saccharomyces cerevisiae Proteins, Separase, evolution, genetics, Saccharomyces, thermotolerance, adaptation, ancient, Saccharomyces
Abstract

Many familiar traits in the natural world-from lions' manes to the longevity of bristlecone pine trees-arose in the distant past, and have long since fixed in their respective species. A key challenge in evolutionary genetics is to figure out how and why species-defining traits have come to be. We used the thermotolerance growth advantage of the yeast Saccharomyces cerevisiae over its sister species Saccharomyces paradoxus as a model for addressing these questions. Analyzing loci at which the S. cerevisiae allele promotes thermotolerance, we detected robust evidence for positive selection, including amino acid divergence between the species and conservation within S. cerevisiae populations. Because such signatures were particularly strong at the chromosome segregation gene ESP1, we used this locus as a case study for focused mechanistic follow-up. Experiments revealed that, in culture at high temperature, the S. paradoxus ESP1 allele conferred a qualitative defect in biomass accumulation and cell division relative to the S. cerevisiae allele. Only genetic divergence in the ESP1 coding region mattered phenotypically, with no functional impact detectable from the promoter. Our data support a model in which an ancient ancestor of S. cerevisiae, under selection to boost viability at high temperature, acquired amino acid variants at ESP1 and many other loci, which have been constrained since then. Complex adaptations of this type hold promise as a paradigm for interspecies genetics, especially in deeply diverged traits that may have taken millions of years to evolve.

Published
2021

13. A Web App for Teaching Specialized English Vocabulary – Case of Study: Computer Sciences

Author

Martínez-Valencia, Ricardo Fabrizio, Montero-Valverde, José Antonio, Martínez-Arroyo, Miriam, Hernández-Bravo, Juan Miguel, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Valencia-García, Rafael, editor, Bucaram-Leverone, Martha, editor, Del Cioppo-Morstadt, Javier, editor, Vera-Lucio, Néstor, editor, and Jácome-Murillo, Emma, editor

Published
2022
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18. The role of absorption mechanism on the optimization of processing commercial polymers under high repetition rate femtosecond laser irradiation

Author

Bernabeu Andrés P., Nájar Guillem, Ruiz Alberto, Bravo Juan C., Ramirez Manuel G., Gallego Sergi, Márquez Andrés, and Puerto Daniel

Subjects
femtosecond laser, ablation, polymers, high-frequency, thermal effects, absorption mechanism, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467
Abstract

The response of three of the most used commercial polymers (poly(vinyl chloride) (PVC), poly(ethylene terephthalate) (PET) and polypropylene (PP)) under irradiation with high repetition rate (1 kHz–1 MHz) femtosecond (450 fs) multi-pulse (N = 10–1500) laser at λ = 343 nm, 515 nm (1.40 J/cm2 for both former wavelengths) and 1030 nm (1.70 J/cm2) is reported, obtaining a study on how the absorption mechanism influences the processing efficiency for these materials. Tunable ablation depth and diameters are accomplished by modifying repetition rates at a constant fluence and number of pulses. The results highlight the role of absorption mechanism, repetition rate ranges and thermal properties of the materials for benefiting ablation efficiency. Furthermore, the use of high repetition rates improves the laser processing, reducing extended thermal effects and increasing ablation uniformity.

Published
2024
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25. Remdesivir and three other drugs for hospitalised patients with COVID-19: final results of the WHO Solidarity randomised trial and updated meta-analyses

Author

Pan, Hongchao, Peto, Richard, Henao Restrepo, Ana Maria, Preziosi, Marie-Pierre, Sathiyamoorthy, Vasee, Karim, Quarraisha Abdool, Alejandria, Marissa, Hernàndez García, César, Kieny, Marie-Paule, Malekzadeh, Reza, Murthy, Srinivas, Reddy, K. Srinath, Periago, Mirta Roses, Hanna, Pierre Abi, Abutidze, Akaki, Ader, Florence, Al-Bader, Abdullah, Alhasawi, Almonther, Allum, Emma, Al Mawali, Adhra, Alotaibi, Athari, Alvarez- Moreno, Carlos, Appadoo, Sheila, Arts, Derk, Asiri, Abdullah, Aukrust, Pål, Barratt-Due, Andreas, Genetu Bayih, Abebe, Beaumont, Helena, Bellani, Samir, Benassi, Virginia, Bhargava, Balram, Branca, Mattia, Cappel-Porter, Heike, Cerrato, Nery, Cheick Haidara, Fadima, Chow, Ting Soo, Como, Nadia, Eustace, Joe, Gabunia, Tamar, García, Patricia, Godbole, Sheela, Gotuzzo, Eduardo, Griskevicius, Laimonas, Hamra, Rasha, Hassan, Mariam, Hassany, Mohamed, Hutton, David, Irmansyah, Irmansyah, Jancoriene, Ligita, Khamis, Faryal, Kirwan, Jana, Kumar, Suresh, Lennon, Peter, Lopardo, Gustavo, Lydon, Patrick, Magrini, Nicola, Manevska, Suzana, Manuel, Oriol, McGinty, Sybil, Medina, Marco, Mesa Rubio, Maria Lucia, Miranda Montoya, Maria Consuelo, Nel, Jeremy, Nunes, Estevao, Perola, Markus, Portoles, Antonio, Rasmin, Menaldi, Raza, Aun, Rees, Helen, Reges, Paula, Rogers, Chris, Salami, Kolawole, Salvadori, Marina, Sauermann, Mamatha, Sinani, Narvina, Sow, Samba, Sterne, Jonathan AC, Stevanovikj, Milena, Tacconelli, Evelina, Tavares Maltez, Fernando Manuel, Teferi, Mekonnen, Tikkinen, Kari, Trelle, Sven, Tsertsvadze, Tengiz, Zaid, Hala, Røttingen, John-Arne, Swaminathan, Soumya, Ryan, Michael, Gjermeni, Nevila, Meta, Esmeralda, Aguila, Damian, Alonso, Ignacio, Altamirano, Marcos, Alvarez, María, Alzola, Rodrigo, Arce, Veronica, Arribillaga, Patricia, Avila, Rafael, Balbuena, Juan, Barcelona, Laura, Barletta, José, Benedetti, María, Berdiñas, Verónica, Burgui, Julieta, Caimi, Sabrina, Carrillo, Juan, Carrizo, Juan, Castelli, Juan, Cazaux, Alexis, Cervellino, Flavia, Chalco, Angelo, Chediack, Viviana, Cunto, Eleonora, D'Amico, Nicolàs, de Vedia, Lautaro, Delgado, Carolina, Di Pilla, Debora, Díaz, Miguel, Díaz Aguiar, Pablo, Domínguez, Cecilia, Ellero, Leonor, Farina, Javier, Fernàndez, José, Ferreyra, Roxana, Filippi, María, Fogar, Carolina, Frare, Pablo, Giudiche, Celeste, Golikow, Mariana, Gomez, Maria Georgina, Hermida, Laura, Hurtado, Mariano, Jacobo, Mariela, Jaume, Martin, Laplume, Diego, Lescano, María, Lista, Nicolàs, Loiacono, Flavia, López, Ana Belen, Losso, Marcelo, Luna, Cecilia, Lupo, Sergio, Marianelli, Leonardo, Martin, Anabella, Masciottra, Florencia, Mykietiuk, Analía, Orellano, Lorena, Pachioli, Valeria, Padilla, María José, Pallavicini, Cecilia, Patroso, Jazmin, Perez Blanco, Luz, Presas, Jose Louis, Provenzano, Matias, Lavera, Lorena, Reichert, Viviana, Riveros, Florencia, Rodríguez, Alejandra, Rolon, María José, Salvay, Carolina, Simonetta, María, Sisto, Alicia, Themines, Sandra, Tito, Fernando, Toibaro, Javier, Torales, Graciela, Verón, Luciano, Vizzotti, Carla, Egle, Alexander, Greil, Richard, Joannidis, Michael, Altdorfer, Antoine, Belkhir, Leila, Fraipont, Vincent, Hites, Maya, Arruda, Erico, Breda, Giovanni, Colussi, Arthur, Corradi, Miran, Croda, Julio, Duani, Helena, João, Esaú, Machado, Elizabeth, Mello, Fernanda, Miranda Filho, Demócrito, Monteiro, Poliana, Nunes, Ceuci, Pereira Junior, Luiz Carlos, Pinto, Gustavo, Raboni, Sonia, Ramos, Marcelo, Ruffing, Leonardo, Santos, Valdilea, Souza, Tamara, Medeiros, Melissa, Schwarzbold, Alexandre, Ali, Karim, Azher, Tanweer, Bellemare, David, Binnie, Alexandra, Borgia, Sergio, Cavayas, Yiorgos Alexandros, Chagnon, Nicholas, Cheng, Matthew, Cloutier, Eve, Conly, John, Costiniuk, Cecilia, Daneman, Nick, Douglas, James, Downey, Catarina, Duan, Erick, Durand, Medeline, English, Shane, Farjou, George, Fera, Evadiki, Fontela, Patricia, Fowler, Rob, Fralick, Mike, Gamble, David Gregory, Geagea, Anna, Grant, Jennifer, Harrison, Luke, Havey, Thomas, Hoang, Holly, Kelly, Lauren, Keynan, Yoav, Khwaja, Kosar, Klein, Marina, Kolan, Christophe, Kronfli, Nadine, Lamontagne, Francois, Lee, Nelson, Lee, Todd, Lim, Rachel, Lostun, Alexandra, MacIntyre, Erika, Malhamé, Isabelle, Martin-Carrier, Francois, McGuinty, Marlee, Munan, Matthew, O'Neil, Conar, Ovakim, Daniel, Papenburg, Jesse, Parhar, Ken, Parvathy, SeemaNair, Perez-Patrigeon, Santiago, Rishu, Asgar, Rushton, Moira, Scherr, Kim, Schwartz, Kevin, Semret, Makeda, Silverman, Micahel, Singh, Ameeta, Sligl, Wendy, Smith, Stephanie, Somayaji, Ranjani, Tan, Darrell, Tran, Tuong-Vi, Tremblay, Alain, Tsang, Jennifer, Turgeon, Alexis, Vakil, Erik, Weatherald, Jason, Yansouni, Cedric, Zarychanski, Ryan, Aristizabal, Claudia, Bravo, Juan, Caicedo, Monica, Chacón, Julio, Garzón, Diego, Guevara, Fredy, Lozano-Gonzàlez, Silvia, Macareno, Hugo, Montañez-Ayala, Anita, Oñate, Jose, Rojas-Gambasica, Jose, Rosso, Fernando, Saavedra, Carlos, Valderrama, Sandra, Vàquiro-Herrera, Eliana, Varón-Vega, Fabio, Zuluaga, Ivan, Abdel Baki, Amin, Abdelbary, Akram, Abdel-Razek, Wael, Amin, Wagdi, Asem, Noha, Elassal, Gehan, Elshesheny, Marwa, Fathy, Mohamed, Fathy, Naglaa, Fayed, Notaila, Hammam, Ahmed, Hassany, Sahar, Ibrahim, Hamdy, Kamal, Ehab, Masoud, Hossam, Mohamed, Maryam, Mohamed Gouda, Abdullah, Moustafa, Ehab, Okasha, Shaimaa, Rafik, Ahmed, Said, Ahmed, Sedky, Asmaa, Solyman Kabil, Mohamed, Tarek, Sara, Tharwat, Ahmed, Zaky, Samy, Abegaz, Emawayish Tesema, Bekele, Zelalem Mekonnen, Asfaw, Filmona Mekuria, Tegegne, Netsanet Aragaw, Teklemariam, Miheret Fikre, Nigusse, Frehiwot Tamiru, Achalu, Daniel Legesse, Weldegergs, Shewit Tesfagabr, Huluka, Dawit Kebede, Tereda, Addisu Birhanu, Ala-Kokko, Tero, Delany, Jutta, Ekroos, Heikki, Hankkio, Riina, Haukipää, Mia, Hetemäki, Iivo, Holma, Pia, Holmberg, Ville, Horstia, Saana, Jalkanen, Ville, Jämsänen, Toni, Järventie, Juuso, Järvinen, Petrus, Kalliala, Ilkka, Kauma, Heikki, Kilpeläinen, Tuomas, Kreivi, Hanna-Riikka, Kuitunen, Ilari, Lamminmäki, Satu, Mäkinen, Laura, Mäntylä, Jarkko, Mattila, Tiina, Myllärniemi, Marjukka, Niskanen, Joni, Nykänen, Taina, Nyqvist, Miro, Paajanen, Juuso, Partanen, Terhi, Patovirta, Riitta-Liisa, Paukkeri, Erja-Leena, Puusti, Emmi, Renner, Andreas, Reponen, Emma, Risku, Sari, Rosberg, Tuomas, Rutanen, Jarno, Säilä, Petrus, Salonen, Päivi, Sinisalo, Marjatta, Sivenius, Katariina, Tuominen, Susanna, Aboab, Jerone, Alfaiate, Toni, Andrejak, Claire, Andreu, Pascal, Belhadi, Drifa, Benezit, Francois, Botelho-Nevers, Elisabeth, Bouadma, Lila, Bougon, David, Bouiller, Kevin, Bounes, Fanny, Boyer, Alexandre, Bruel, Cédric, Buffet, Alexandre, Burdet, Charles, Cazanave, Charles, Chabertier, Cyrille, Clere-Jehl, Rapahel, Costagliola, Dominique, Courjon, Johan-Victor, Crockett, Flora, Danion, Francois, Dechanet, Aline, Dellamonica, Jean, Delmas, Christelle, Diallo, Alpha, Djossou, Felix, Dubost, Clement, Dupont, Axelle, Epaulard, Olivier, Faure, Emmmanuel, Faure, Karine, Fayol, Antoine, Figueiredo, Samy, Fougerou, Claire, Gaborit, Benjamin, Gaci, Rostane, Gagneux-Brunon, Amandine, Gallien, Sebastien, Garot, D, Goehringer, Francois, Gruson, Didier, Hinschberger, Olivier, Hulot, Jean-Sebastien, Jaureguiberry, Stephane, Jean-Michel, Vanessa, Kerneis, Solen, Kimmoun, Antoine, Klouche, Kada, Lachatre, Marie, Lacombe, Karine, Laine, Fabrice, Lanoix, Jean Philippe, Laribi, Samira, Launay, Odile, Laviolle, Bruno, Le Moing, Vincent, Le Pavec, Jerome, Lebeaux, David, Leroy, Sylvie, Lescure, Xavier, Livrozet, Marine, Makinson, Alain, Malvy, Denis, Marquette, Charles-Hugo, Martin-Blondel, Guillaume, Mayaux, Julien, Mekontso Dessap, Armand, Mentre, France, Mercier, Noemie, Meziani, Ferhat, Molina, Jean Michel, Mootien, Yoganaden, Mourvillier, Bruno, Navellou, Jean Christoph, Noret, M, Peiffer- Smadja, Nathan, Peytavin, Gilles, Pialoux, Gilles, Pilmis, Benoît, Piroth, Lionel, Poindron, Vincent, Poissy, Julien, Pourcher, Valerie, Quenot, Jean Pierre, Raffi, Francois, Reignier, Jean, Richard, Jean Christoph, Robert, Céline, Saillard, Juliette, Sayre, Naomi, Senneville, Eric, Stefan, Francois, Tellier, Marie Capucine, Terzi, Nicolas, Textoris, Julien, Thiery, Guillame, Timsit, Jean Francois, Tolsma, Violaine, Tubiana, Sarah, Wallet, Florent, Yazdanpanah, Yazdan, Zerbib, Yoann, Aguilar, Carlos, Erazo, Laura, Fiallos, Angel, Figueroa, Rosbinda, Flores, Juan Jose, Melendez, Lesddyy, Moncada, Wendy, Abraham, Ooriapadickal Cherian, Acharya, Chetankumar, Aedula, Vinaya Sekhar, Aggarwal, Richa, Agrawal, Nishant, Agrawal, Umang, Agrawal, Abhishekh, Ahmad, Mohammad, Atal, Shubham, Babu, Avinash, Baidya, Dalim Kumar, Balachandran, Amith, Bangar, Rakhee, Bhadade, Rakesh, Bhandari, Sudhir, Bhapal, Meghavi, Bhardwaj, Pankaj, Bhati, Gaurav, Bhatia, Pradeep, Bhatt, Krishnakant, Bingi, Thrilok Chander, Borse, Rohidas, Buch, Vyom, Chand, Dipti, Chandwani, Ashish, Charan, Jaykaran, Chaudhari, Mayur, Chaudhari, Kirti, Chaudhary, Vipul, Chauhan, Nishant, Chikara, Gaurav, Daswani, Bharti, de Souza, Rosemarie, Desai, Chetna, Divakar, Balusamy, Divhare, Sujeet, Dorairajan, Suresh Kumar, Dutt, Naveen, Ethirajan, Therani Rajan, Gamit, Amit, Gamit, Sweta, Garg, Mahendra, Goenka, Ajay, Goenka, Aniket, Guleria, Randeep, Gupta, Paras, Gupta, Nivedita, Gupta, Madhur, Harde, Minal, Ingle, Vaibhav, Iyer, Shivkumar, Jamalapuram, Vaishnavi, Jayanthi, Rangarajan, Joshi, Rajnish, Kadam, Abhijeet, Kalakuntla, Hemanth, Kalikar, Mrunalini, Kalme, Sayali, Kamble, Suchit, Kant, Ravi, Kantharia, Bansari, Kashikar, Arundhati, Kavishvar, Abhay, Kayina, Choro Athipro, Kerkar, Pranali, Khadanga, Sagar, Khandare, Sagar, Kokate, Pranjali, Komathi, Jayavelu, Krishnan, Vijay, Krishnan, Jayasree, Krishnan, Sumitra, Kulur Mukhyaprana, Sudha, Kumarasamy, N, Mahavar, Sunil, Maitra, Souvik, Majumdar, Falguni, Malhotra, Supriya, Mamulwar, Megha, Malini, Padma, Marwah, Vikas, Maurya, Akhilesh, Mehta, Kedar, Mesipogu, Rajarao, Misra, Shobha, Mitra, Sajal, Mittal, Ankit, Mohan, Bharathi, Momin, Mohmmedirfan, Nag, Vijaya, Nagarajan, Ramakrishnan, Nagmani, Kammili, Narlawar, Uday, Natarajan, Gopalakrishnan, Nischal, Neeraj, Ogale, Dhananjay, Palat, Paltial, Panda, Prasan, Panda, Samiran, Pandya, Amee, Parate, Rohit, Paritekar, Arunita, Patel, Parvati, Patel, Chetna, Patel, Sunaina, Patel, Vitan, Patel, Deep, Patel, Harshad, Patil, Girish, Peter, Deepu, Prasad, Durga, Purohit, Vimlesh, Rabindrarajan, Ebenezer, Ranganathan, Lakshmiarasimhan, Rao, Tushara, Rao, Chakradhara, Rathod, Chirag, Raval, Devang, Ray, Avik, Reddy, Kamini, Rege, Sujata, Revathi, Ayyasamy, Roy, Dhara, Saigal, Saurabh, Sane, Suvarna, Sangale, Shashi, Seetharaman, Krishnamoorthy, Selvamuthu, Poongulali, Seshaiah, Kurada Venkata, Shadrach, Benhur, Shah, Jignesh, Shah, Sonal, Sharma, Swati, Sharma, Raman, Sharma, Shrikant, Singh, Krishna, Singh, Anil, Singh, Arjeet, Singhai, Abhishek, Soneja, Manish, Soni, Kapil Dev, Subhan, Thasneem banu, Subramaniam, Sudharshini, Sudarsanam, Thambu David, Sudarsi, Ravindra Kumar, Suleman, Dawood, Suthar, Nilay, Talati, Shriraj, Tambe, Murlidhar, Tejomurtula, Tilak, Tirupakuzhi Vijayaraghavan, Bharatkumar, Trikha, Anjan, Trivedi, Aarti, Udwadia, Zarir, Upadhyay, Kamlesh, Vasava, Ashwin, Vasudevan, Damodaran, Velayudham, Rajendran, Venkatasubramanian, Ramasubramanian, Verma, Mamta, Waghmare, Rakesh, Waikar, Anushka, Wig, Naveet, Afrilia, Annisa Rizky, Amin, Muhammad, Arlinda, Dona, Avrina, Rossa, Bang, Lois, Djaharuddin, Irawaty, Djojo, Aryan, Driyah, Sri Laning, Erastuti, Mila, Fajarwati, Tetra, Harsini, Harsini, Hartantri, Yovita, Herman, Deddy, Isbaniah, Fathiyah, Karyana, Muhammad, Kusuma, Indra, Mahmudji, Harli Amir, Medison, Irvan, Nugroho, Agung, Nurhayati, Nurhayati, Opitasari, Cicih, Pitoyo, Ceva Wicaksono, Pradana, Antonius Arditya, Raharjo, Sofyan Budi, Rahmaini, Ade, Risniati, Yenni, Riyanto, Bambang Sigit, Sajinadiyasa, I Gede Ketut, Sari, Flora Eka, Sitompul, Pompini Agustina, Soedarsono, Soedarsono, Somia, I Ketut Agus, Sugiri, Yani Jane, Sugiyono, Retna Indah, Susanto, Nugroho Harry, Syarif, Armaji Kamaludi, Yulianto, Aris, Afsharian, Mandana, Akhavi Mirab, Atefehsadat, Amini, Fatemeh, Amini, Mahnaz, Ansarin, Khalil, Baba Mahmoodi, Farhang, Baghaei, Parvaneh, Barazandeh, Fateme, Bayani, Masomeh, Dastan, Farzaneh, Ebrahimpour, Soheil, Eghtesad, Sareh, Fallahi, Mohammad Javad, Fallahpoor Golmaee, Fatemeh, Foroghi Ghomi, Seyed Yaser, Ghadir, Mohammad Reza, Gheitani, Mina, Ghiasvand, Fereshteh, Hafizi Lotfabadi, Saied, Hakamifard, Atousa, Hashemi Madani, Shima Sadat, Hormati, Ahmad, Hosseini, Hamed, Janbakhsh, Alireza, Javanian, Mostafa, Joukar, Farahnaz, Kamali, Alireza, Karampour, Amin, Khajavirad, Nasim, Khodabakhshi, Behnaz, Khodadadi, Javad, Khodashahi, Rozita, Kiani Majd, Somaieh, Mahfoozi, Lida, Mahmoodiyeh, Behnam, Mansour-Ghanaei, Fariborz, Mansouri, Feizollah, Mesgarpour, Bita, Mesri, Mehdi, Mikaeili, Haleh, Miladi, Ronak, Moghadami, Mohsen, Mohamadi, Payam, Mohraz, Minoo, Mohseni Afshar, Zeinab, Moogahi, Sasan, Mousavi Anari, Seyed Alireza, Mozaffar, Seyyed Hassan, Mozdourian, Mahnaz, Najafipour, Reza, Najari, Hamidreza, Nazemiyeh, Masoud, Norouzi, Alireza, Pourkazemi, Aydin, Poustchi, Hossein, Saberhosseini, Seyedeh Naeimeh, Saberi, Marzieh, Saber-Moghaddam, Niloufar, Sadeghi, Anahita, Sadeghi Haddad Zavareh, Mahmoud, Sahraian, Mohammad Ali, Salahi, Mehrdad, Salehi, Mohammad Reza, Sarmadian, Hossein, Sayad, Babak, Shirani, Kiana, Shirvani, Maria, Shojaei, Daryanaz, Shokri, Mehran, Siami, Zeinab, Sima, Ali Reza, Soleimani, Alireza, Soltanmohammad, Saedeh, Tabarsi, Payam, Taghizadieh, Ali, Tavassoli, Samaneh, Varnasseri, Mehran, Vaziri, Siavash, Yadyad, Mohammad Jaafar, Yaghoubi, Shoeleh, Yazdanpanah, Yalda, Yousefi, Farid, Zamanian, Mohammad Hossein, Zand, Farid, Zare Hoseinzade, Elham, Bergin, Colm, Cotter, Aoife, de Barra, Eoghan, Jackson, Arthur, Laffey, John, McCarthy, Cormac, Muldoon, Eavan, Sadlier, Corinna, Maguire, Teresa, Angheben, Andrea, Bai, Francesca, Bandera, Alessandra, Barchiesi, Francesco, Bassetti, Matteo, Bisi, Luca, Bonfanti, Paolo, Calò, Federica, Campoli, Caterina, Canovari, Benedetta, Capetti, Amedeo, Castelli, Francesco, Cauda, Roberto, Cingolani, Antonella, Cocco, Nicolò, Coppola, Nicola, Corcione, Silvia, Cremonini, Eleonora, d'Arminio Monforte, Antonella, de Gaetano Donati, Katleen, De Nardo, Pasquale, De Rosa, Francesco Giuseppe, Degioanni, Maria, Della Siega, Paola, Di Bella, Stefano, Drera, Bruno, Focà, Emanuele, Fornabaio, Chiara, Galli, Massimo, Giacomazzi, Donatella, Gori, Andrea, Gustinetti, Giulia, Iannuzzi, Francesca, Kertusha, Blerta, Lamonica, Silvia, Lichtner, Miriam, Lupia, Tommaso, Luzzati, Roberto, Macera, Margherita, Menatti, Elisabetta, Merelli, Maria, Merlini, Esther, Monari, Caterina, Pan, Angelo, Pecori, Davide, Pezzani, Diletta, Riccardi, Niccolò, Rodari, Paola, Roldan, Eugenia, Rovere, Pierangelo, Rusconi, Stefano, Scabini, Silvia, Tascini, Carlo, Viale, Pierluigi, Vincenzi, Marcello, Zuccalà, Paola, Zucchi, Patrizia, Al-Roomi, Moudhi, Al-Sabah, Salman, Schrapp, Kelly, Hassoun, Mahmoud, Matar, Madonna, Dbouni, Oussaima, Yared, Nadine, Saliba, Michele, Farra, Anna, Riachi, Moussa, Zablockiene, Birute, Reuter, Jean, Staub, Therese, Ab Wahab, Suhaila, Chew, Chun Keat, Chua, Hock Hin, Goh, Pik Pin, Lee, Heng Gee, Leong, Chee Loon, Low, Lee Lee, Mak, Wen Yao, Mohamed Gani, Yasmin, Muhamad, Dzawani, Zaidan, Nor Zaila, Ducker, Camilla, Demiri, Ilir, Aballi, Saad, Berg, Åse, Blomberg, Bjørn, Dalgard, Olav, Dyrhol-Riise, Anne Ma, Eiken, Ragnhild, Ernst, Gernot, Hannula, Ranula, Haugli, Metter, Heggelund, Lars, Hoel, Hedda, Hoff, Dag Arne Lihaug, Holten, Aleksander Rygh, Johannessen, Asgeir, Kåsine, Trine, Kildal, Anders Benjamin, Kittang, Bård Reikvam, Nezvalova-Henriksen, Katerina, Olsen, Inge Christoffer, Olsen, Roy Bjørkolt, Skei, Nina Vibeche, Skudal, Hilde, Tholin, Birgitte, Thoresen, Lars, Trøseid, Marius, Tveita, Anders, Vinge, Leif, Ystrøm, Carl Magnus, Al Jahdhami, Issa, AlNaamani, Khalid, Al Balushi, Zakariya, Pandak, Nenad, Abbas, Salma, Akhtar, Nasim, Azam, Sumeyya, Begum, Dilshad, Hassan, Sadia, Herekar, Fivzia, Khan, Shahzaib, Khan, Ejaz Ahmed, Mahmood, Syed Faisal, Nasir, Nosheen, Rahim, Anum, Sarfaraz, Samreen, Shaikh, Qurat-ul-Ain, Sultan, Faisal, Walayat, Usman, Agurto-Lescano, Erika Cecilia, Alcantara-Díaz, Andrés Martín, Alva-Correa, Ana María, Alvarado-Moreno, José Gustavo, Ángeles-Padilla, Bethsabé, Arbañil-Huamàn, Hugo César, Ávila-Reyes, Pool Christopher, Azañero-Haro, Johan Alexander, Barreto-Rocchetti, Luis Guillermo, Benitez-Peche, Jorge Marko A., Bernal-Màlaga, Karla Hortencia, Cabrera-Portillo, Liliana Norma, Carazas-Chavarry, Reynaldo Javier, Càrcamo, Paloma Mariana, Casimiro-Porras, Indira Catalina, Castillo-Espinoza, Jhuliana, Chacaltana-Huarcaya, Jesús Norberto, Cornejo-Valdivia, Carla Raquel, Cruz-Chereque, Augusto, Del-Aguila-Torres, Keith Cayetano Marcelino, Díaz-Chipana, Erika, Flores-Valdez, Neil, Franco-Vàsquez, Rosanna Andrea, Gallegos-López, Roxana Consuelo, Gastiaburú-Rodriguez, Dauma Yesenia, Gianella-Malca, Gonzalo Ernesto, Gomero-Lopez, Andrés Alonso, Hercilla-Vàsquez, Luis Enrique, Hueda-Zavaleta, Miguel Ángel, Ibarcena-Llerena, Claudia Vanessa, Iberico-Barrera, Carlos Alberto, Inquilla-Castillo, Miguel Angel, Juàrez-Eyzaguirre, Jesus Alberto, Laca-Barrera, Manuel, León-Jiménez, Franco, Luna-Wilson, Carla Vanessa, Màlaga, German, Marin, Ricardo, Mejía-Cordero, Fernando, Mendoza-Laredo, Juan Arturo, Meregildo-Rodríguez, Edinson Dante, Miranda-Manrique, Gonzalo Francisco, Olivera-Chaupis, Marco, Ortega-Monasterios, Fatima Josefina, Otazú-Ybàñez, Jimmy Pedro, Paredes-Moreno, María Angélica, Peña-Mayorga, Claudia Ximena, Peña-Vàsquez, Olivia del Carmen, Peña-Villalobos, Alejandro, Ponce, Oscar J, Ponte-Fernandez, Katherin Estefania, Pro, Jose, Quispe-Nolazco, César Miguel, Ramos-Samanez, Manuel Efrain, Rojas-Murrugarra, Kory Mirtha, Samanez-Pérez, Jorge Mauro, Sànchez-Carrillo, Halbert Chrostian, Sànchez-Garavito, Epifanio, Sànchez-Sevillano, Ricardo Manuel, Sandoval-Manrique, Hernan, Santos-Revilla, Gabriela, Silva-Ramos, Julio Antonio, Solano-Ico, Manuel Alberto, Soto, Alonso, Sotomayor-Woolcott, Giannilu Michelle, Tapia-Orihuela, Ruben Kevin Arnold, Terrazas-Obregón, Carmen Sara, Terrones-Levano, Victor Francisco, Ticona-Huaroto, Cesar Eduardo, Torres-Ninapayta, Walter, Torres-Ruiz, Oscar Martin, Ugarte-Mercado, Dario, Vargas-Anahua, Orlando José, Vàsquez-Becerra, Ruben Dario, Vàsquez-Cerro, José Gabriel, Villegas-Chiroque, Miguel, Williams, Anna Larson, Yauri-Lazo, Randi Mauricio, Abad, Cybele Lara, Andales-Bacolcol, Silverose Ann, Arcegono, Marlon, Arches, Jamie, Astudillo, Mary Grace, Aventura, Emily, Awing, Arlyn, Bala, Mishelle Vonnabie, Bello, Jia An, Blanco, Peter, Benedicto, Jubert, Buno, Susana, Cabrera, Justine, Cajulao, Thea Pamela, Caoili, Janice, Casiple-Amsua, Lina, Catambing, Victor, Chin, Inofel, Chua, Ma. Bernadette, Chua, Mitzi Marie, Climacosa, Fresthel Monica, David-Wang, Aileen, De los Reyes, Virginia, Europa, Gilly May, Fernandez, Lenora, Francisco, Jorge, Garcia, Gerard, Garcia, Jemelyn, Gler, Maria Tarcela, Isidro, Marie Grace Dawn, Javier, Rozelle Jade, Kwek, Marion, Lansang, Mary Ann, Lee, Aileen, Li, Kingbherly, Llanes, Mark Ramon Victor, Llorin, Ryan, Macadato, Omar Khayyam, Malundo, Anna Flor, Mercado, Maria Elizabeth, Mujeres, Mercedes, Nepomuceno, Marisse, Ngo-Sanchez, Katha, Orden, Mary Claire, Pablo-Villamor, Maria Philina, Paez, Ruel Dionisio, Palmes, Patricio, Panaligan, Marion, Quinivista-Yoon, Jenny Mae, Ramos, Mary Shiela Ariola, Ramos -Penalosa, Christine, Reyes, Sheila Marie, Roa, Kathryn, Roman, Arthur Dessi, Rosario, Minette Claire, Roxas, Evalyn, Santos, Lourdes Ella Gonzales, Soldevilla, Helmar, Solante, Rontgene, Suaco, Jane, Tagarda, Daisy, Tang, Issa Rufina, Te, Bob, Teo, Dennis, Tibayan, Christopher John, Villalobos, Ralph Elvi, Ymbong, Duane Richard, Zabat, Gelza Mae, Batkova, Stepanka, Cardoso, Orlando, Garrote, Ana-Raquel, Lino, Sara, Manata, Maria-José, Pinheiro, Helder, Póvoas, Diana, Ramirez, Freddy, Seixas, Diana, Naji, Assem, Al Gethamy, M Al, AL-Mulaify, Mohammed Sami, Al Maghraby, Reem, Alrajhi, A, Al Sharidi, Aynaa, Alotaibi, Naif, AlShaharani, F, Barry, Mazin, Ghonem, Leen, Khalel, Anas, Kharaba, Ayman Mohammed, Alabdan, Lulwah, AlAbdullah, Mohammed Sharaf, Al Shabib, Abdullah, Bengu, Simangele, Bennet, Jacklyn, Dubula, Thozama, Howell, Pauline, Janse van Vuuren, Cloete, Kalla, Ismail, Lifson, Aimee, Maasdorp, Shaun, Magua, Nombulelo, Maluleke, Vongani, Mbhele, Nokuphiwa, Mdladla, Nathi, Mendelson, Mark, Menezes, Colin, Mwelase, Thando, Nchabeleng, Maphoshane, Palanee-Phillips, Thesla, Parker, Victoria, Rassool, Mohammed, Reeder, Paul, Sossen, Bianca, Steyn, Dewald, Tsitsi, Merika, van Blydenstein, Sarah Alex, Venter, Michelle, Van Vuuren, Janse, Venturas, Jacquie, Abad Pérez, Daniel, Abenza, Maria José, Alarcón-Payer, Carolina, Armero Garrigos, Eva, Arribas, Jose Ramon, Ascaso, Ana, Berenguer, Juan, Cabello-Clotet, Noemí, Chamorro Tojeiro, Sandra, Cuenca-Acevedo, Rafael, de la Calle, Fernando, Del Toro, Maria Dolores, Díaz Pollàn, Beatriz, Diez, Cristina, Esquillor-Rodrigo, María José, Estrada, Vicente, Fanciulli, Chiara, Fanjul, Francisco, Fernàndez de Orueta, Lucía, Ferre, Adrian, Ferreira Pasos, Eva Maria, Gainzarain-Arana, Juan-Carlos, Garcia, Felipe, García Deltoro, Miguel, Goikoetxea Agirre, Ane Josune, Gómez Barquero, Julia, Gomez-Huelgas, Ricardo, Gonzàlez Moraleja, Julio, Guijarro, Carlos, Gutierrez, Felix, Guzmàn, Jesús, Ibarguren, Maialen, Iribarren, Jose Antonio, Jerusalem, Koen, Juan Arribas, Arturo, Lalueza, A, Leone, Antonio, Lopez Azkarreta, Iñigo, Lozano-Martin, Daniel, Lucendo, Alfredo J, Luengo López, Mariella, Martín Oterino, JA, Masa, JF, Merino, Esperanza, Monge-Maillo, Begoña, Moran-Rodríguez, Miguel-Angel, Muñez Rubio, Elena, Muñoz Sanchez, Josefa, Nuñez Orantos, Maria Jose, Nuño, Enrique, Ortiz-De-Zarate-Ibarra, Zuriñe, Pagàn-Muñoz, Bàrbara, Paño-Pardo, José Ramón, Peñaranda, Maria, Pérez Chica, Gerardo, Pérez Fernàndez, AM, Pérez-López, Carmen, Polo San Ricardo, Victor, Portu-Zapirain, Joseba, Puchades, Francesco, Rivas Paterna, Ana Belen, Rodríguez Vidigal, Francisco F, Rodríguez-Baño, Jesus, Ruiz-Seco, Pilar, Ryan, Pablo, Saez-De-Adana, Ester, Salas, Rosario, Salavert Lletí, Miguel, Sandoval, Raquel, Toyas-Miazza, Carla, Valencia, Jorge, Vargas, Emilio, Velasco, Maria, Von Wichmann, Miguel Angel, Bosshard, Andreas, Calmy, Alexandra, Castro, Tiago, Cavassini, Matthias, Clerc, Olivier, Conen, Anna, Desbaillets, Nicolas, Desgranges, Florian, Duss, Francois, Emonet, Stephane, Erard, Veronique, Eyer, Myriam, Fayet-Mello, Aurélie, Flammer, Yvonne, Friedl, Andrée, Fulchini, Rosamaria, Furrer, Hansjakob, Garin, Nicolas, Gastberger, Salome, Greiner, Michael, Haefliger, David, Haubitz, Sebastian, Hoffmann, Matthias, Isenring, Egon, Jakopp, Barbara, Lampert, Markus, Marinosci, Annalisa, Martin, Yvonne, Petignat, Pierre-Auguste, Piso, Rein Jan, Prendki, Virginie, Rutishauser, Jonas, Schaefer, Elisabeth, Schmiedel, Yvonne, Schwery, Stefan, Stavropoulou, Elisavet, Stoeckle, Marcel, Suttels, Veronique, Thurnher, Maria Christine, van den Bogaart, Lorena, West, Emily, Wiegand, Jan, and Wiggli, Benedikt

Published
2022
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26. Training of health science professors to support the education of high-ability university students.

Author

Francisco Flores-Bravo, Juan, Rodríguez-Naveiras, Elena, Valadez Sierra, María de los Dolores, Costantini, Dylan, and Borges, África

Subjects
HIGHER education, TEACHER educators, TEACHER training, SATISFACTION, OPEN-ended questions
Abstract

Teacher training for high ability students represents a critical need that has been neglected. In this context, it is essential to implement programs that demystify high abilities and provide teachers with effective tools to inspire and challenge these students. The aim of this study was to evaluate the impact and satisfaction of a course-workshop offered to university professors for the educational attention of students with high abilities. For this purpose, a mixed methodology was used; in the quantitative part, two approaches were combined: a quasi-experimental design with a non-equivalent control group, and a pre-experimental design. In the qualitative part, the content of open-ended questions was analyzed. Quantitative results show significant differences in the interaction and timing of the intervention in the experimental group (p = 0.000). Likewise, a positive level of achievement and approval was observed in each of the subjects taught, obtaining an average of 41.12 out of 47 total points. In addition, a satisfactory evaluation of the course-workshop offered was reported, since 95.2% said that they agreed fairly or strongly agreed with the contents, 96.8% agreed fairly or strongly agreed with the didactic material, and 90.47% rated the performance of the instructors as excellent. The lexical analysis yielded three classes in relation to the most significant learning acquired during the course, while the comments and suggestions for improvement were grouped into four classes. The findings of this study highlight the importance of developing teacher training programs based on a clear understanding of high abilities and allow expanding knowledge in this field of study. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Multiple parallel cell lineages in the developing mammalian cerebral cortex

Author

Del-Valle-Anton, Lucia, primary, Amin, Salma, additional, Cimino, Daniela, additional, Neuhaus, Florian, additional, Dvoretskova, Elena, additional, Fernández, Virginia, additional, Babal, Yigit K., additional, Garcia-Frigola, Cristina, additional, Prieto-Colomina, Anna, additional, Murcia-Ramón, Raquel, additional, Nomura, Yuki, additional, Cárdenas, Adrián, additional, Feng, Chao, additional, Moreno-Bravo, Juan Antonio, additional, Götz, Magdalena, additional, Mayer, Christian, additional, and Borrell, Víctor, additional

Published
2024
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33. Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis

Author

Bravo, Juan Ignacio Ignacio, Garcia-Martin, Alvaro, Bescos, Jesus, and SanMiguel, Juan Carlos

Abstract

Due to the difficulty of replicating the real conditions during training, supervised algorithms for spacecraft pose estimation experience a drop in performance when trained on synthetic data and applied to real operational data. To address this issue, we propose a test-time adaptation approach that leverages the temporal redundancy between images acquired during close proximity operations. Our approach involves extracting features from sequential spacecraft images, estimating their poses, and then using this information to synthesize a reconstructed view. We establish a self-supervised learning objective by comparing the synthesized view with the actual one. During training, we supervise both pose estimation and image synthesis, while at test time, we optimize the self-supervised objective. In addition, we introduce a regularization loss to prevent solutions that are not consistent with the keypoint structure of the spacecraft.

Published
2024
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34. Análisis y Diseño de un Sistema Web para la Gestión de Pedidos en una Institución de Educación Media Superior

Author

Gallegos Martínez, Antonio de Jesús, Hernandez Bravo, Juan Miguel, Gallegos Martínez, Antonio de Jesús, and Hernandez Bravo, Juan Miguel

Abstract

The world we inhabit has remained in a cycle of significant technological changes. In this context, institutions that choose to automate their processes through web platforms not only gain an advantage in the technological realm but also position themselves prominently in competitive terms.The project entitled "Analysis and Design of a Web System for Order Management in a High School Institution" focuses on the detailed evaluation and conceptualization of a web platform. This platform's main objective is the comprehensive automation of the order management process, specifically those made at the central headquarters, which serves as the coordinating epicenter for an extensive network of schools distributed at the state level. This project is oriented towards the analysis of a web system with the purpose not only of optimizing the workflow associated with orders but also of establishing an efficient and unified interface for the various linked educational institutions. The adopted methodology is based on a quantitative approach, where data and detailed information are collected to expand the impact panorama of this project. Through the analysis of the collected data, statistics are generated to support and quantify the benefits of the web system in question. These statistics not only support the project's approach but also provide an objective basis for evaluating the efficiency and effectiveness of the system compared to predefined metrics., El mundo que habitamos ha permanecido en un ciclo de cambios importantes a nivel tecnológico. En este contexto, las instituciones que optan por la automatización de sus procesos mediante plataformas web no solo adquieren una ventaja en el ámbito tecnológico, sino que también se posicionan de manera destacada en términos competitivos. El proyecto se enfoca en la evaluación detallada y la conceptualización de una plataforma web. Esta plataforma tiene como objetivo principal la automatización integral del proceso de gestión de pedidos, específicamente aquellos realizados en la sede central, la cual funge como el epicentro coordinador de una extensa red de escuelas distribuidas a nivel estatal. Este proyecto se orienta hacia el análisis de un sistema web con el propósito no solo de optimizar el flujo de trabajo asociado con los pedidos, sino también de establecer una interfaz eficiente y unificada que sirva para las diversas instituciones educativas vinculadas. Para el desarrollo de este proyecto se adopta la metodología cascada y se abordan sus dos primera etapas (Análisis y diseño) en donde se detallan principalmente los requisitos funcionales y no funcionales del sistema, mientras que para la investigación se opta por elegir un enfoque cuantitativo, donde se recopilan datos e información para conocer el impacto que puede tener el proyecto, mediante el análisis de los datos recopilados, se generan estadísticas que cuantifican los beneficios del sistema web en cuestión.

Published
2024

35. Multiple parallel cell lineages in the developing mammalian cerebral cortex

Author

Ministerio de Ciencia e Innovación (España), European Commission, European Research Council, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Fundación Tatiana Pérez de Guzmán el Bueno, Ministerio de Economía y Competitividad (España), Valle-Anton, Lucia del, Amin, Salma, Cimino, Daniela, Neuhaus, Florian, Dvoretskova, Elena, Fernández, Virginia, Babal, Yigit K., García-Frigola, Cristina, Prieto-Colomina, Anna, Murcia-Ramón, Raquel, Nomura, Yuki, Cárdenas, Adrián, Feng, Chao, Moreno-Bravo, Juan Antonio, Götz, Magdalena, Mayer, Christian, Borrell, Víctor, Ministerio de Ciencia e Innovación (España), European Commission, European Research Council, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Fundación Tatiana Pérez de Guzmán el Bueno, Ministerio de Economía y Competitividad (España), Valle-Anton, Lucia del, Amin, Salma, Cimino, Daniela, Neuhaus, Florian, Dvoretskova, Elena, Fernández, Virginia, Babal, Yigit K., García-Frigola, Cristina, Prieto-Colomina, Anna, Murcia-Ramón, Raquel, Nomura, Yuki, Cárdenas, Adrián, Feng, Chao, Moreno-Bravo, Juan Antonio, Götz, Magdalena, Mayer, Christian, and Borrell, Víctor

Abstract

Cortical neurogenesis follows a simple lineage: apical radial glia cells (RGCs) generate basal progenitors, and these produce neurons. How this occurs in species with expanded germinal zones and a folded cortex, such as human, remains unclear. We used single-cell RNA sequencing from individual cortical germinal zones in ferret and barcoded lineage tracking to determine the molecular diversity of progenitor cells and their lineages. We identified multiple RGC classes that initiate parallel lineages, converging onto a common class of newborn neuron. Parallel RGC classes and transcriptomic trajectories were repeated across germinal zones and conserved in ferret and human, but not in mouse. Neurons followed parallel differentiation trajectories in the gyrus and sulcus, with different expressions of human cortical malformation genes. Progenitor cell lineage multiplicity is conserved in the folded mammalian cerebral cortex.

Published
2024

36. Anoxic waters constrain the vertical distribution of fish developmental stages in an oxygen minimum zone.

Author

Gutiérrez‐Bravo, Juan Gerardo, Sánchez‐Velasco, Laura, Jiménez‐Rosenberg, Sylvia Patricia Adelheid, Altabet, Mark A., Méndez‐Mendez, Sofia, and Cambronero‐Solano, Sergio

Subjects
*ANOXIC waters, *GEOGRAPHICAL distribution of fishes, *ANOXIC zones, *FISH larvae, *FISH development, *ECOSYSTEM management
Abstract

In the Eastern Tropical North Pacific Oxygen Minimum Zone (ETNP‐OMZ), fish larvae undergo development amidst highly variable dissolved oxygen environments. As OMZs expand, understanding the implications of low‐oxygen environments on fish development becomes increasingly relevant for fisheries management and ecosystem modeling. Using horizontal zooplankton tows to track five oxygen levels (oxic [200 μmol/kg], hypoxic [100 μmol/kg] suboxic [10 μmol/kg], anoxic [<1 μmol/kg], and deep [10 μmol/kg at ~ 1000 m depth]), this study analyzed the three‐dimensional distribution of fish larvae and adults across the ETNP‐OMZ. Results revealed a wide midwater anoxic core, extending from Costa Rica to Baja California, that was almost devoid of fish larvae (< 1 larvae/1000 m3). Early larval stages primarily inhabited the oxic and hypoxic levels above the core, while postflexion and transformation stages occurred across a wider oxygen gradient, including the deep level below the anoxic core. Epipelagic species (e.g., Auxis sp.) were predominantly found in the surface oxic level, whereas coastal‐demersal species (e.g., Bregmaceros bathymaster, Ophidion spp.) were prevalent in the hypoxic level above the core. Meso‐bathypelagic species (e.g., Diogenichthys laternatus, Cyclothone spp.) were present throughout the study area, including below the anoxic core as transformation larvae and juveniles. These findings indicate that a vertical expansion of anoxic waters in OMZs could further constrain the habitat of epipelagic species, while also affecting the ontogenic vertical movements of meso‐bathypelagic species. [ABSTRACT FROM AUTHOR]

Published
2024
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42. High-frequency processing effects on three commercial polymers with different thermal properties under femtosecond laser irradiation

Author

Bernabeu Andrés P., Nájar Guillem, Ruiz Alberto, Bravo Juan C., Ramirez Manuel G., Gallego Sergi, Márquez Andrés, and Puerto Daniel

Subjects
Physics, QC1-999
Abstract

The response of three of the most used commercial polymers (poly(vinyl chloride) (PVC), poly(ethylene terephthalate) (PET) and polypropylene (PP)) with different thermal properties under irradiation with high frequency (1 kHz-1 MHz) femtosecond (450 fs) multi-pulse (N=10-1500) laser at λ=515 (1.34 J/cm2) and 1030 (1.70 J/cm2) is reported. Thermal and ablative effects are observed after laser irradiations. The results are compared to a photothermal model that pretends to explain the heat accumulation effect of successive pulses irradiation. Thermal analyses (Modulated Differential Scanning Calorimetry (MDSC) and Thermogravimetry (TG)) are performed and utilized to explain the different behaviour of each polymer. Three different regimes (non-thermal, thermal and saturation) are identified and explained from the model and experimental results. A connection between ablation depth and simulated reached temperature is established. Further studies as micro-Raman analyses on the irradiated area and the dependence of damaged area on the repetition rate are being performed.

Published
2023
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46. Las nuevas derechas: Un desafío para las democracias actuales

Author

Omar Alejandro Bravo, Juan Albarracín, Mario Alberto Cajas Sarria, Manuel Desviat, Maximiliano Durán, Walter Omar Kohan, Tathagatan Ravindran, Tatiana Lizondo Diaz, Hildeberto Vieira Martins and Omar Alejandro Bravo, Juan Albarracín, Mario Alberto Cajas Sarria, Manuel Desviat, Maximiliano Durán, Walter Omar Kohan, Tathagatan Ravindran, Tatiana Lizondo Diaz, Hildeberto Vieira Martins

Published
2020

50. Assessing Matrix Solid-Phase Dispersion Extraction Strategies for Determining Bisphenols and Phthalates in Gilthead Sea Bream Samples.

Author

Soliz, Dulce L., Garcinuño, Rosa Ma, Paniagua González, Gema, Bravo, Juan Carlos, and Fernández Hernando, Pilar

Subjects
BISPHENOL A, PHTHALATE esters, BISPHENOLS, SPARUS aurata, LIQUID chromatography-mass spectrometry, SOLID phase extraction, HIGH performance liquid chromatography, PLASTIC additives
Abstract

Microplastics (MPs) and nanoplastics (NPs) are widely spread in the environment, generating significant concern due to their potential impact on environmental health. Marine species usually ingest plastic fragments, mistaking them for food. Many toxic compounds, such as plastic additives that are not chemically bound to the plastic matrix, can be released from MPs and NPs and reach humans via the food chain. This paper highlights the development and validation of a straightforward solid–liquid extraction clean-up procedure in combination with a matrix solid-phase dispersion method using high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS) detection, enabling facile, precise, and reliable identification and quantitation of a total of six bisphenols and phthalates in gilthead sea breams. Under the optimized conditions, the developed method showed good linearity (R2 > 0.993) for all target compounds. The recoveries obtained were between 70 and 92%. The relative standard deviations (RSDs) for reproducibility (inter-day) and repeatability (intra-day) were less than 9% and 10%, respectively. The limit of detection (LOD) and limit of quantification (LOQ) for the target compounds ranged from 0.11 to 0.68 µg/kg and from 0.37 to 2.28 µg/kg, respectively. A new, efficient extraction methodology for the determination of BPA, BPS, BPF, DBP, DEP, and DHEP in gilthead seabream has been optimized and validated. [ABSTRACT FROM AUTHOR]

Published
2024
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