ABSTRACT
This paper presents and evaluates a hypothetical learning trajectory by which students bridge the transition from elementary to university-level instruction regarding the concept of vector. The trajectory consists of an instructional sequence of five tasks and begins with a problem in context. Each task is carried out with the support of a Virtual Interactive Didactic Scenario, accompanied by exploration and guided learning sheets, in which the problem is introduced through the simulation of the movement of a robotic arm. This proposal was implemented at the beginning of the SARS-CoV-2 pandemic using various digital media. Two teaching experiments were carried out with engineering students at a Mexican public university. We present the hypothetical learning trajectory that should be followed toward solving the task, and contrast it in each case with the students' actual learning trajectory. The results show that more than 70 % of the students successfully transitioned from the geometrical vector representation of elementary physics to the algebraic one. © 2023 Elsevier Inc.
ABSTRACT
Introduction: Older age is an important risk factor for severe COVID-19 disease. Understanding the biological mechanisms that link aging to the pathogenesis of COVID-19 is essential for developing of therapeutic strategies. We hypothesized that cell senescence, a basic aging process that plays a pivotal role in lung diseases, is involved in the pathogenesis of COVID-19 including the development of long-lasting lung alterations. Methods: To evaluate the impact of SARS-CoV-2 infection on cell senescence, we 1) analyzed publicly available datasets of scRNA-seq performed in BALF cells from patients with moderate or severe/critical COVID-19;2) investigated lung samples from cynomolgus macaques infected with 106 pfu of a SARS-CoV-2 clinical isolate. Two macaques were sacrificed at 4 days post-infection (dpi.) and two others at 30 dpi. Results: In BALF obtained within 10 days after symptom onset, the expression of several senescence markers, i.e., CDKN2A, CDKN1A (encoding p21), uPAR, CXCL8, IGFBP3, and GDF15 was significantly increased in epithelial cells in BALF from patients with severe COVID-19, suggesting that lung-cell senescence induction was contemporary of viral detection. Next, we investigated macaques at 4 and 30 dpi, corresponding respectively to the viral load peak and to the absence of detectable viral RNA in BALF (1). Immunohistochemical analysis revealed numerous SARS-CoV-2 antigen-stained cells, also co-stained for senescence markers p16- and p21. The lungs at 30 dpi no longer contained the consolidated parenchymal areas seen at 4 dpi but showed extensive lung parenchyma remodelling, with thickening of the alveoli and pulmonary vessel walls and abundant extracellular matrix deposits as assessed by collagen staining. These lesions were accompanied with massive accumulation of p16- and p21-positive cells, mostly pneumocytes II and ECs. Of note, p16 staining of most ECs was seen in pulmonary vessels, notably those occluded by thrombosis and showing intraluminal vWF staining. Cells stained for p16 were also stained for the DNA damage markers γ-H2AX protein and p53-binding protein 1. Conclusions: Our data constitute the first evidence of temporal and topographic relations between senescent-cell accumulation and pulmonary lesions induced by SARS-CoV-2 infection.
ABSTRACT
This paper addresses the conceptual framework of the interactivity of materials in distance education and describes a teacher training experience for teachers of secondary level courses. The training presents teachers with a diverse range of tools that can be incorporated into the virtual classroom to promote interactivity in technological mediation, between the student and the different elements of the educational proposal. The participants were proposed the pedagogical approach to interactivity through free use tools nucleated under the name H5P, recently incorporated as a native complement in the latest versions of the Moodle environment, in order to enrich the educational proposals in a virtualization framework massive as a consequence of the Covid-19 pandemic. The didactic strategy and the results obtained are detailed.
ABSTRACT
Background: The SARS-CoV-2 disease, called COVID-19, emerged in China has acquired pandemic dimensions. According to the WHO situational report of March 15, 2021, the global fatality rate is 2.2%;in Mexico, around 194 944 deaths have been confirmed by COVID-19. Studies in China identified that patients with severe COVID-19, when compared with those who had non-severe COVID-19, presented more severe neurological manifestations. Objective: To determine the frequency of neurological symptoms and manifestations in patients with severe COVID-19 in a tertiary care center. Material and methods: A cross-sectional, observational and analytical study was carried out at the Hospital de Especialidades del Centro Medico Nacional Siglo XXI, in patients hospitalized with severe COVID-19. Results: 183 cases were analyzed, of which 130 were men (71%). The median age was 55 years (IQR: 44-65). The neurological symptoms were: headache, anosmia and dysgeusia. Neurological manifestations occurred in 27 patients (16%), the most frequent was ischemic-type cerebrovascular disease (CVD) in 12 (44%), in patients older than 76.5 years vs. 54 years (p = 0.000), with history of cardiovascular disease. Conclusions: The most frequent neurological symptoms were headache, anosmia and dysgeusia. The most frequent neurological manifestation was ischemic CVD that appeared in older patients with severe COVID-19 with a history of cardiovascular disease.
ABSTRACT
Background: Around 15% of adult GIST are wild type for KIT/PDGFRA mutations (KPWT), usually have SDH deficiencies, and are resistant to imatinib (IM). The underlying mechanisms include overexpression of HIF1α in SDH deficient-GIST, high IGFR signaling through MAPK, BRAF mutation or STAT3 activation. Regorafenib (RE), targeting these pathways, could be more active as upfront therapy in KPWT GIST. Methods: Patients (pts) >18, with advanced non pretreated KPWT GIST were eligible after central confirmation by next-generation sequencing (NGS). Eligible pts received RE at 160mg/d for 21/28d cycles. Primary end-point was disease control rate (DCR) at 12 weeks (RECIST 1.1 ) by central radiological assessment (CRA). Secondary objectives were PFS, OS, ORR (RECIST,Choi), safety and QoL. An amendment allowed previous IM (adjuvant). Statistical assumptions [H0 73% and H1 90% (α 0.1 and β 0.2)], defined a sample size of 20 pts. Results: From May 2016 to October 2020, 30pts with KPWT GIST (by Sanger) underwent central molecular screening. Among the 15 non-eligible pts, 8 harbored KIT exon 11 mutations, 3 exon 9 and 3 PDGFRA exon 18 by NGS. The remaining 16 (53.3%) molecularly eligible pts were enrolled and started RE except one pt due to COVID-19 pandemic. The trial was prematurely closed due to low recruitment, especially after COVID outbreak. Demographics and treatment details in the table. Based on CRA, 12w-DCR was 86.7%. With a median (m) FU of 26 (5-44) months (mo), 10/15 pts progressed, with a mPFS of 10.8 mo (95% CI 6.9-14.8). 6 mo, 9 mo and 12 mo PFS rates were 65%, 48% and 29% respectively. 2 pts were PD-free at 25 and 43 mo from start of RE. 6/15 pts died, with a mOS of 33.5 mo (95% CI NR). [Formula presented] Conclusions: The study results approach the prespecified activity threshold. The low recruitment rate could have affected this attainment. Other analysis of secondary endpoints are ongoing. The high percentage of overlooked mutant GIST by Sanger raises the need of NGS in presumed KPWT GIST. Clinical trial identification: NCT02638766. Legal entity responsible for the study: Spanish Group for Research on Sarcoma (GEIS). Funding: Bayer. Disclosure: J. Martin Broto: Financial Interests, Personal, Expert Testimony, Honoraria: Lilly;Financial Interests, Personal, Expert Testimony, Honoraria: PharmaMar;Financial Interests, Personal, Expert Testimony, Honoraria: Eisai;Financial Interests, Personal, Expert Testimony, Honoraria: Bayer;Financial Interests, Personal, Invited Speaker: PharmaMar;Financial Interests, Institutional, Invited Speaker: PharmaMar;Financial Interests, Institutional, Invited Speaker: Eisai;Financial Interests, Institutional, Invited Speaker: Novartis;Financial Interests, Institutional, Invited Speaker: IMMIX Biopharma;Financial Interests, Institutional, Invited Speaker: Lixte;Financial Interests, Institutional, Invited Speaker: Karyopharm;Financial Interests, Institutional, Invited Speaker: Bayer;Financial Interests, Institutional, Invited Speaker: Celgene;Financial Interests, Institutional, Invited Speaker: Pfizer;Financial Interests, Institutional, Invited Speaker: BMS;Financial Interests, Institutional, Invited Speaker: Blueprint;Financial Interests, Institutional, Invited Speaker: Deciphera;Financial Interests, Institutional, Invited Speaker: Nektar;Financial Interests, Institutional, Invited Speaker: FORMA;Financial Interests, Institutional, Invited Speaker: Amgen;Financial Interests, Institutional, Invited Speaker: Daiichi Sankyo;Financial Interests, Institutional, Invited Speaker: Lilly;Financial Interests, Institutional, Invited Speaker: AROG;Financial Interests, Institutional, Invited Speaker: Adaptimmune;Financial Interests, Institutional, Invited Speaker: GSK. N. Hindi: Financial Interests, Personal, Invited Speaker: PharmaMar;Financial Interests, Personal, Advisory Board: PharmaMar;Financial Interests, Institutional, Research Grant: PharmaMar;Financial Interests, Institutional, Sponsor/Funding: PharmaMar;Financial Interests, Institutional, Research Grant: Nova tis;Financial Interests, Institutional, Research Grant: Eisai;Financial Interests, Institutional, Research Grant: Immix Bio;Financial Interests, Institutional, Sponsor/Funding: Bayer;Financial Interests, Institutional, Sponsor/Funding: Deciphera;Financial Interests, Institutional, Sponsor/Funding: Daychii;Financial Interests, Institutional, Sponsor/Funding: Blueprint;Financial Interests, Institutional, Sponsor/Funding: Adaptimmune;Financial Interests, Institutional, Sponsor/Funding: GSK;Financial Interests, Institutional, Sponsor/Funding: Karyopharm;Financial Interests, Institutional, Sponsor/Funding: Celgene;Financial Interests, Institutional, Sponsor/Funding: AROG. J. Lavernia: Financial Interests, Personal, Invited Speaker: PharmaMar;Financial Interests, Personal, Invited Speaker: BMS. C. Serrano: Financial Interests, Personal, Invited Speaker: Bayer;Financial Interests, Institutional, Research Grant: Bayer. D. Moura: Financial Interests, Institutional, Research Grant: Novartis;Financial Interests, Institutional, Research Grant: Eisai;Financial Interests, Institutional, Research Grant: PharmaMar;Financial Interests, Institutional, Research Grant: Immix Bio. J. Blay: Financial Interests, Institutional, Research Grant: Bayer;Financial Interests, Personal, Invited Speaker: Bayer;Financial Interests, Institutional, Research Grant: Novartis;Financial Interests, Personal, Invited Speaker: Novartis;Financial Interests, Institutional, Research Grant: Roche;Financial Interests, Personal, Invited Speaker: Roche;Financial Interests, Institutional, Research Grant: Deciphera;Financial Interests, Personal, Research Grant: Deciphera. E.R. Fumagalli: Financial Interests, Institutional, Research Grant: Bayer. All other authors have declared no conflicts of interest.
ABSTRACT
Nowadays, we live in a practically digitised world. Therefore, education has been one of the first aspects to have the need to update itself digitally. This, together with exceptional situations, such as COVID-19 (coronavirus diseases), have meant that the only way to teach is through information and communication technology (ICT). As an objective of this communication, we propose to analyse the level of digital competences of European university teaching staff, in addition to detecting good practices in teaching and guidance using ICT. This is a mixed-method research study in which 918 teachers participated in the quantitative part and 76 in the qualitative part. As an instrument, the scale Necesidades formativas en estrategias orientadoras y tutoriales (NFEOT-17) has been used for quantitative research, and the techniques of discussion group, nominal group and the SWOT (Strengths, Weaknesses, Opportunities and Threats) technique have been used for qualitative research. The results show that low digital competence is manifested in relation to teaching and university orientation. Furthermore, determining factors have been detected that characterise good ICT practices. In conclusion, the need to develop digital competencies in university teachers is highlighted so that they can be part of the new digital era and face exceptional situations that may arise. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.