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The needs of the digital revolution and the knowledge-based economy impose a transformation of traditional education to improve technical and scientific knowledge and include alternative abilities. This work presents a service-learning initiative with multiple goals: to improve scientific, technical, engineering, and mathematic (STEM) knowledge at school, to enhance students' engagement, and to make people aware of the repercussions of poor indoor air quality. The initiative involves four actors: the administration which steers the initiative, students who are the receivers of the knowledge, teachers as facilitators of the activity and research centers as expert references. Within this service-learning initiative, a real-life project has been proposed, focusing on measuring carbon dioxide (CO[subscript 2]) levels in classrooms and correlating them with indoor airborne infection transmission. Reference experts have developed two systems provided to teachers and students for project implementation. The project involves an engineering step where students set up the systems, and a scientific step where students hypothesize, develop experiments, analyse data, and communicate results gaining experience with the scientific method. Through the combined efforts and appropriate allocation of responsibilities, this experience has yielded excellent results in STEM knowledge transmission and has proven effective in fostering student commitment to their learning process.

Catering for the mathematical needs of disabled learners equitably and productively requires the anti-ableist preparation and professional development of teachers. In CAPTeaM (Challenging Ableist Perspectives on the Teaching of Mathematics), we design tasks that emulate inclusion-related challenges from the mathematics classroom, and we engage teachers with these tasks in workshop settings. In this paper, we focus on evidence from one type of task in which participants engage in small groups with solving a mathematical problem while at least one of them is temporarily and artificially deprived of access to a sensory field or familiar channel of communication. In this paper, we focus on evidence of emerging resignification -- discursive and affective shifts in the participating teachers' sense-making about what makes the construction of mathematical meaning possible and valuably different -- as they work on the tasks. By linking Vygotsky's vision about the educational changes required to empower and include disabled learners with more contemporary ideas from embodied cognition and disability studies, our analyses show how engagement with the tasks affects participants' realisation and appreciation of interdependencies between learners, teacher, resources, and emotions, highlights alternative forms of mathematical agency and gives opportunities to turn initial sense of impasse and despair into joy.

Teachers' emotions while they teach and how these may play out in their students' experience of mathematics lessons is under-researched. Here, we present a proposition for the incorporation of a type of data not typically included in the study of teacher emotions while they teach: physiological data. Specifically, we present our use of a GSR (Galvanic Skin Response) sensor as a tool that offers approximate indications of how teacher emotions vary during lessons. We report from a study in which experienced secondary mathematics teachers were interviewed before and after observation and video recording of their lessons, during which they wore a GSR device. Episodes from the lessons--selected on the evidence provided by the video recordings, the observations, and the GSR sensor--were used to trigger teacher reflection in the postlesson interviews. A particular focus in the interviews was placed on the interplay between how the teachers' emotional intensity varied during the lesson and their teaching actions. The findings show that the use of the GSR sensor revealed aspects of this interplay not evidenced in the other data sources. The findings are presented using evidence from two participants. We propose that the use of GSR data in tandem with other types of data has the capacity to strengthen teacher reflection on how their emotional intensity may vary during a mathematics lesson and the impact of this variation on the lesson. The paper concludes with outlining the benefits for teacher education and professional development of using this unobtrusive yet insight-generating technology as an effective trigger for pedagogical reflection.

The complete mitochondrial genome of the shining leaf chafer Mimela junii was sequenced and is herein described. The mitogenome consists of a circular molecule of 16,805 bp, with an overall AT content of 75.7%. It encodes for 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), two ribosomal RNA genes (rRNAs) and contains a non-coding Control Region (CR) characterized by the presence of tandem repeats. The gene order corresponds to the ancestral Pancrustacea model and mitogenome characteristics are congruous with those of hexapods. In the phylogenetic analysis, M. junii is nested within a paraphyletic Anomala with high support, and is herein associated with Anomala corpulenta with medium/low support.

Abstract Atmospheric rivers are important transport vehicles for Earth’s water cycle. Using a high-resolution, eddy-resolving Earth System Model, atmospheric river impacts on the upper ocean are investigated by analyzing historical and climate change simulations. For atmospheric rivers along the North American coastline, strong winds cause significant dynamic and thermodynamic upper ocean responses. They push ocean water towards the coast, measured by sea surface height, a process that is amplified under climate change. Mixed layers are deeper upstream of atmospheric rivers, and shallower downstream, however for climate change, shoaling downstream is subdued. Air-sea heat fluxes tend to promote ocean cooling upstream and warming downstream, although different regions have different climate change heat flux signals. Southern California heat flux changes due to warming are driven by evaporative processes and strengthen the ocean responses seen in historical simulations. The regions north are primarily dominated by sensible heat flux changes and counter the historical patterns.

(1) Background: Musculoskeletal disorders of the upper limbs are a common medical condition among dental hygienists and dentists, making them a common occupational risk for dental professionals. The purpose of the work was to collect information about the dental professions and their habits to highlight what can be good practices to be carried out to prevent any musculoskeletal disorders. (2) Methods: To identify habits and problems inherent in the professional activity of dental hygienists and dentists, a questionnaire was formulated on the use of enlarging systems. (3) Results: The questionnaire was completed by 241 dental professionals. As for the use of magnifiers, 72.6% of participants use them: among dental hygienists, 67.8% use magnifiers, among dentists, 80.9% use magnifiers; there is a statistically significant difference. There is no statistically significant difference between professions regarding muscle disorders. (4) Conclusions: For a clearer assessment, it would be appropriate to submit the questionnaire to a wider sample of professionals, to define better the correlation between musculoskeletal disorders, work activity and the type of enlarging systems used.

Abstract Background Hybrids are expected to show greater phenotypic variation than their parental species, yet how hybrid phenotype expression varies with genetic distances in closely-related parental species remains surprisingly understudied. Here, we investigate pelage and morphometric trait variation in anthropogenic hybrids between four species of Brazilian Callithrix marmosets, a relatively recent primate radiation. Marmoset species are distinguishable by pelage phenotype and morphological specializations for eating tree exudates. In this work, we (1) describe qualitative phenotypic pelage differences between parental species and hybrids; (2) test whether significant quantitative differences exist between parental and hybrid morphometric phenotypes; and (3) determine which hybrid morphometic traits show heterosis, dysgenesis, trangression, or intermediacy relative to the parental trait. We investigated cranial and post-cranial morphometric traits, as most hybrid morphological studies focus on the former instead of the latter. Finally, we estimate mitogenomic distances between marmoset species from previously published data. Results Marmoset hybrid facial and overall body pelage variation reflected novel combinations of coloration and patterns present in parental species. In morphometric traits, C. jacchus and C. penicillata were the most similar, while C. aurita was the most distinct, and C. geoffroyi trait measures fell between these species. Only three traits in C. jacchus x C. penicillata hybrids showed heterosis. We observed heterosis and dysgenesis in several traits of C. penicillata x C. geoffroyi hybrids. Transgressive segregation was observed in hybrids of C. aurita and the other species. These hybrids were also C. aurita-like for a number of traits, including body length. Genetic distance was closest between C. jacchus and C. penicillata and farthest between C. aurita and the other species. Conclusion We attributed significant morphometric differences between marmoset species to variable levels of morphological specialization for exudivory in these species. Our results suggest that intermediate or parental species-like hybrid traits relative to the parental trait values are more likely in crosses between species with relatively lesser genetic distance. More extreme phenotypic variation is more likely in parental species with greater genetic distance, with transgressive traits appearing in hybrids of the most genetically distant parental species. We further suggest that fewer developmental disturbances can be expected in hybrids of more recently diverged parental species, and that future studies of hybrid phenotypic variation should investigate selective pressures on Callithrix cranial and post-cranial morphological traits.

Abstract Rates of nitrogen transformations support quantitative descriptions and predictive understanding of the complex nitrogen cycle, but measuring these rates is expensive and not readily available to researchers. Here, we compiled a dataset of gross nitrogen transformation rates (GNTR) of mineralization, nitrification, ammonium immobilization, nitrate immobilization, and dissimilatory nitrate reduction to ammonium in terrestrial ecosystems. Data were extracted from 331 studies published from 1984–2022, covering 581 sites. Globally, 1552 observations were appended with standardized soil, vegetation, and climate data (49 variables in total) potentially contributing to the observed variations of GNTR. We used machine learning-based data imputation to fill in partially missing GNTR, which improved statistical relationships between theoretically correlated processes. The dataset is currently the most comprehensive overview of terrestrial ecosystem GNTR and serves as a global synthesis of the extent and variability of GNTR across a wide range of environmental conditions. Future research can utilize the dataset to identify measurement gaps with respect to climate, soil, and ecosystem types, delineate GNTR for certain ecoregions, and help validate process-based models.

Abstract Background Doxorubicin (DOX) has been widely used in the treatment of breast cancer, but it is directly associated with late-onset cardiovascular disease (CVD). Whether anthropometric, food intake or other risk factors together with DOX-based chemotherapy can increase the risk of developing cardiotoxicity remains uncertain. We examined the association between anthropometric variables with doxorubicin-induced cardiotoxicity in women with breast cancer. Methods Twenty-six women (53.7 ± 9.6 y) undergoing DOX-based chemotherapy (408.3 ± 66.7 mg/m2) participated in the study. We collected data on body composition (bioimpedance), dietary intake (24 h) and cardiac function (echocardiographic assessment of left ventricular ejection fraction, LVEF). All measurements were taken at baseline, one month of treatment completion and one-year follow-up after start of treatment. DOX-induced cardiotoxicity was defined as ≥ 10% absolute decrease in LVEF. Thus, the participants were then grouped as DOX-induced (DIC) or non-DOX-induced (non-DIC) cardiotoxicity. Data are shown as mean ± SD (standard deviation). We performed comparisons between the two groups using Student’s t-test for independent samples or Generalized Estimating Equations (groups + 3 evaluation time points) with Bonferroni post-hoc test. Lastly, the correlations were analyzed using Pearson correlation; p

Abstract Background SmithRNAs (Small MITochondrial Highly-transcribed RNAs) are a novel class of small RNA molecules that are encoded in the mitochondrial genome and regulate the expression of nuclear transcripts. Initial evidence for their existence came from the Manila clam Ruditapes philippinarum, where they have been described and whose activity has been biologically validated through RNA injection experiments. Current evidence on the existence of these RNAs in other species is based only on small RNA sequencing. As a preliminary step to characterize smithRNAs across different metazoan lineages, a dedicated, unified, analytical workflow is needed. Results We propose a novel workflow specifically designed for smithRNAs. Sequence data (from small RNA sequencing) uniquely mapping to the mitochondrial genome are clustered into putative smithRNAs and prefiltered based on their abundance, presence in replicate libraries and 5′ and 3′ transcription boundary conservation. The surviving sequences are subsequently compared to the untranslated regions of nuclear transcripts based on seed pairing, overall match and thermodynamic stability to identify possible targets. Ample collateral information and graphics are produced to help characterize these molecules in the species of choice and guide the operator through the analysis. The workflow was tested on the original Manila clam data. Under basic settings, the results of the original study are largely replicated. The effect of additional parameter customization (clustering threshold, stringency, minimum number of replicates, seed matching) was further evaluated. Conclusions The study of smithRNAs is still in its infancy and no dedicated analytical workflow is currently available. At its core, the SmithHunter workflow builds over the bioinformatic procedure originally applied to identify candidate smithRNAs in the Manila clam. In fact, this is currently the only evidence for smithRNAs that has been biologically validated and, therefore, the elective starting point for characterizing smithRNAs in other species. The original analysis was readapted using current software implementations and some minor issues were solved. Moreover, the workflow was improved by allowing the customization of different analytical parameters, mostly focusing on stringency and the possibility of accounting for a minimal level of genetic differentiation among samples.

Background: A wide range of conditions, including mixed depressive symptoms, hyperactivity, cognitive impairment (CI) might be expressions of Bipolar Spectrum Disorder (BSD) according to the neo-Kraepelinian perspective, even in advanced age. CI, which has a high prevalence in the elderly population, when it occurs in comorbidity with depression further hinders therapy response and functional ability. The present study aims to explore risk factors associated with CI in elderly individuals experiencing a depressive episode during lockdown a period marked by significant stressors and rhythm disruption. Methods: A case-control study analyzed data from a previous RCT (secondary analyses) on elderly individuals living at home, assessing depressive symptoms, cognitive performance, hyperactivity, and hypertension before (T0) and during lockdown (T1). Results: Participants with lower pre-pandemic cognitive performance were more prone to lockdown depression compared to those with higher baseline function (F = 6.074; p = 0.016). Among those experiencing lockdown depression without prior depression, those with low cognitive performance were more prevalent than the control group without depression (OR = 11.8; p = 0.015). Conclusion: This study highlights a potentially vulnerable subgroup within the elderly population that requires targeted interventions and support during stressful events. Future research should explore the underlying mechanisms linking cognitive decline and depression in older adults, particularly those with a possible bipolar spectrum predisposition.

Baited traps are a basic component of both specific and generic surveillance programs targeting wood-boring beetles at risk of introduction to new habitats because of global trade. Among the numerous protocols developed over the years for generic surveillance of longhorn beetles, jewel beetles, and bark and ambrosia beetles is the simultaneous use of black multi-funnel traps set up in the understory and green multi-funnel traps set up in the canopy of forested areas surrounding ports and other entry points. These traps are commonly baited with multi-lure blends of pheromones and host volatiles. In this study, we tested this trapping protocol in areas surrounding eight entry points located in Europe and North America to determine: i) the relative performance of black-understory traps and green-canopy traps among the targeted taxa; and ii) whether the dissimilarity among communities of beetles collected by the understory vs. canopy traps was affected by taxon and amount of forest cover in the traps’ surroundings. A total of 96,963 individuals belonging to 358 species of wood-boring beetles were collected, including 21 non-native species. Black-understory multi-funnel traps were generally more efficient than green-canopy multi-funnel traps for detecting longhorn beetles and bark and ambrosia beetles, whereas the opposite trend was observed for jewel beetles. Differences between beetle communities caught in black-understory and green-canopy traps were mainly attributed to differences in species richness in jewel beetles, while both differences in species richness and species turnover contributed to the dissimilarity between communities of longhorn beetles and bark and ambrosia beetle. The difference in the number of jewel beetle species caught by the two trapping methodologies decreased with increasing forest cover, whereas species turnover increased when moving from an urban-dominated to a forest-dominated landscape. Overall, these results suggest that the simultaneous use of both black-understory and green-canopy multi-funnel traps can be considered a very efficient approach for generic surveillance of longhorn beetles, jewel beetles and bark and ambrosia beetles in both urban-dominated and forest-dominated areas surrounding entry points.

Abstract Atrial fibrillation (AF) is more common in patients with malignancies than in general population. The pathophysiological processes include the pro-inflammatory condition and the exaggerated inflammatory reaction to chemotherapy, radiotherapy, and surgery interventions. Thus, it is pivotal to decrease morbidity and mortality in this group by providing appropriate care and prevention. In this subset, the risk of thromboembolic and bleeding events is high and the common risk score such as CHA2DS2-VASc and HAS-BLED employed in non-oncologic patients have limited evidence in cancer patients. A paucity of evidence in the setting in individuals having both malignancies and atrial fibrillation entangle the clinician when it comes to therapeutic management. Tailored management is recommended of anticoagulation treatment could be difficult, and there is. In this review, we try to explain the mechanism of AF in cancer patients as well as its management in this setting.