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Original citation: J Clin Invest. 2012;122(4):1427-1443. https://doi.org/10.1172/JCI57322. Citation for this corrigendum: J Clin Invest. 2024;134(8):e180863. https://doi.org/10.1172/JCI180863. The authors recently became aware that the image presented in Figure 4A for the [...]

In the ever‐evolving landscape of 21st‐century education, this research seeks to understand the challenges of on‐time graduation for students in two related computing majors. In particular, we focus on the Universidad Católica del Norte computing engineering programs in Chile, specifically the "Computing and Informatics Civil Engineering" (ICCI) and "Computing and Informatics Execution Engineering" (IECI) programs. We developed a machine‐learning‐based model using random forests to predict delays in submissions of the final report of graduation projects, the key step in the graduation pipeline of the analyzed students. We had access to a data set comprised of 209 students in the period from 2013 to 2017, out of these students, only 111 completed all their graduation requirements. Thus, we focused on this subset of students for the analysis. Our analyses of results indicate that individual advisors minimally contribute to predicting timely or late submissions, emphasizing the need for a holistic approach. In contrast, the specific major, graduation modality, and time in the program play crucial roles, with GPA emerging as the most influential factor (24.06%). Notably, the "Professional Work" modality exhibits a moderate positive correlation with late submissions, contextualized by students' employment commitments. The study's predictive model offers actionable insights for educators and administrators, identifying at‐risk students and advocating for personalized support strategies. This research contributes to the ongoing dialogue on enhancing educational outcomes by integrating data‐driven approaches tailored to diverse student profiles. [ABSTRACT FROM AUTHOR]

Objectives We aim to establish daily risk estimates of the relationships between grass, tree and weed pollen and asthma health outcomes.Design Time series regression analysis of exposure and health outcomes using interaction by month to determine risk estimates all year round.Setting Metropolitan Adelaide, South Australia.Participants Health outcomes for asthma are based on 15 years of hospital admissions, 13 years emergency presentations and ambulance callouts. In adults (≥18 years), there were 10 381 hospitalisations, 26 098 emergency department (ED) presentations and 11 799 ambulance callouts and in children (0–17 years), 22 114, 39 813 and 3774, respectively.Outcome measures The cumulative effect of 7 day lags was calculated as the sum of the coefficients and reported as incidence rate ratio (IRR) related to an increase in 10 grains of pollen/m3.Results In relation to grass pollen, children and adults were disparate in their timing of health effects. Asthma outcomes in children were positively related to grass pollen in May, and for adults in October. Positive associations with weed pollen in children was seen from February to May across all health outcomes. For adults, weed pollen-related health outcomes were restricted to February. Adults were not affected by tree pollen, while children’s asthma morbidity was associated with tree pollen in August and September. In children, IRRs ranged from 1.14 (95% CI 1.06 to 1.21) for ED presentations for tree pollen in August to 1.98 (95% CI 1.06 to 3.72) for weed pollen in February. In adults, IRRs ranged from 1.28 (95% CI 1.01 to 1.62) for weed pollen in February to 1.31 (95% CI 1.08 to 1.57) for grass pollen in October.Conclusion Monthly risk assessment indicated that most pollen-related asthma health outcomes in children occur in the colder part of the year, while adults are affected in the warm season. The findings indicate a need for year-round pollen monitoring and related health campaigns to provide effective public health prevention.

AbstractThis article seeks to evaluate the scientific landscape of the phytoremediation of mine tailings through a series of bibliometric and scientometric techniques. Phytoremediation has emerged as a sustainable approach to remediate metal-contaminated mine waste areas. A scientometric analysis of 913 publications indexed in Web of Science from 1999 to 2023 was conducted using CiteSpace. The results reveal an expanding, interdisciplinary field with environmental sciences as the core category. Keyword analysis of 561 nodes and 2,825 links shows a focus on plant-metal interactions, microbial partnerships, bioavailability, and field validation. Co-citation analysis of 1,032 nodes and 2,944 links identifies seminal works on native species, plant-microbe interactions, and amendments. Temporal mapping of 15 co-citation clusters indicates a progression from early risk assessments and native plant inquiries to integrated biological systems, economic feasibility, and sustainability considerations. Recent trends emphasize multidimensional factors influencing adoption, such as plant-soil-microbe interactions, organic amendments, and field-scale performance evaluation. The findings demonstrate an intensifying translation of phytoremediation from scientific novelty to engineering practice. This quantitative and qualitative analysis of research trends aids in understanding the development of phytoremediation for mine tailings. The results provide valuable insights for researchers and practitioners in this evolving field. [ABSTRACT FROM AUTHOR]

Myc activation is a primary oncogenic event in many human cancers; however, these transcription factors are difficult to inhibit pharmacologically, suggesting that Myc-dependent downstream effectors may be more tractable therapeutic targets. Here, we show that Myc overexpression induces endoplasmic reticulum (ER) stress and engages the inositol-requiring enzyme 1[alpha] (IRE1[alpha])/X-box binding protein 1 (XBP1) pathway through multiple molecular mechanisms in a variety of c- Myc- and N-Myc-dependent cancers. In particular, Myc-overexpressing cells require IRE1[alpha]/XBP1 signaling for sustained growth and survival in vitro and in vivo, dependent on elevated stearoyl-CoA-desaturase 1 (SCD1) activity. Pharmacological and genetic XBP1 inhibition induces Myc-dependent apoptosis, which is alleviated by exogenous unsaturated fatty acids. Of note, SCD1 inhibition phenocopies IRE1[alpha] RNase activity suppression in vivo. Furthermore, IRE1[alpha] inhibition enhances the cytotoxic effects of standard chemotherapy drugs used to treat c-Myc-overexpressing Burkitt's lymphoma, suggesting that inhibiting the IRE1[alpha]/XBP1 pathway is a useful general strategy for treatment of Myc- driven cancers., Introduction The Myc family of proto-oncogenes (MYC, MYCN, MYCL) encodes bHLHZ (basic helix-loop-helix leucine zipper) transcription factors, which regulate thousands of genes coordinating numerous cellular processes, including proliferation, differentiation, self-renewal, [...]