Stem Area Research Articles

DETECT CLASSIFICATION OF EMPLOYEES TENDING TO MOVE WORK WITH THE NAIVE BAYES ALGORITHM

In recent years due to economic conditions and the uncertain situation of a country, many employees with a certain level of education, work experience and different countries in development and the level of income per capita of a country and several other factors cause many employees to move to a new place. the. Because there are many factors that cause employees to move careers and advances in information technology also make it difficult to predict what factors affect decision-making employees to move to work to new places. Therefore, it is necessary to know what factors and conditions or what are the employees so that they have a tendency to move to work so that the company can prevent, anticipate and immediately seek other solutions early if this condition must occur from its employees. Based on the problems described, this study discusses the classification of employees who have a tendency to change workplaces using the Naive Bayes algorithm. The goal is expected to identify the dominant factors in influencing employees to change workplaces. From the results of the research conducted by Naive Bayes, it was found that 3 dominant factors were influencing, namely the STEM area of expertise, the size of the company size and the level of education as well as the accuracy level of 80.79% and AUC 0.816.

Potato growth, nitrogen balance, quality, and productivity response to water-nitrogen regulation in a cold and arid environment.

The pervasively imprudent practices of irrigation and nitrogen (N) application within Oasis Cool Irrigation zones have led to significant soil nitrogen loss and a marked decrease in water and nitrogen use efficiency. To address this concern, a comprehensive field experiment was conducted from April to September in 2023 to investigate the impact of varying degrees of water and fertilization regulation strategies on pivotal parameters including potato yield, quality, nitrogen balance, and water-nitrogen use efficiency. The experimental design incorporated two water deficit degrees at potato seedling (W1, 55%-65% of Field Capacity (FC); W2, 45%-55% of FC), and four distinct nitrogen application gradients (N0, 0 kg ha-1 of N; N1, 130 kg ha-1 of N; N2, 185 kg ha-1 of N; N3, 240 kg ha-1 of N). A control was also included, comprising N0 nitrogen application and full irrigation (W0, 65%-75% of FC), totally eight treatments and one check. The results indicated that the tuber yield, plant dry matter accumulation, plant height, plant stem, and leaf area index increased with higher nitrogen fertilizer application and irrigation volume. However, tuber starch content, vitamin C, and protein content initially increased and then decreased, while reducing sugar content consistently decreased. Except for W1N2 treatment, the irrigation water use efficiency increased as the N application rate rose, while the nitrogen partial factor productivity, crop nitrogen use efficiency and soil nitrogen use efficiency decreased with an increase in N fertilizer application. The W1N2 treatment resulted in a higher yield (43.16 t ha-1), highest crop nitrogen use efficiency (0.95) and systematic nitrogen use efficiency (0.72),while maintaining moderate levels of soil nitrate and ammonium nitrogen. Therefore, through the construction of an integrated evaluation index (IEI), the W1N2 treatment of mild water deficit (55%-65% of FC) at potato seedling combined with the medium nitrogen application (185 kg ha-1 of N) has the highest IEI (0.978), it was recommended as the optimal water-nitrogen regulation and management strategies to facilitate high-yield, high-efficiency, and environmentally sustainable potato production in the cold and arid oasis areas of northwest China.

Student-created videos in online STEM education: a large, interdisciplinary, randomized control study

Student-created videos engage students’ interests, creativity, and content knowledge and enrich collaborative learning in STEM education. These videos enhance critical thinking and analytical skills, which are essential tools in the fields of science, technology, engineering, and mathematics (STEM). This study presents the results of such an assignment across several STEM areas (biology, chemistry, exercise science, information technology, and mathematics) at a minority-serving, liberal arts higher education institution in the southeast region of the United States. Undergraduate students (n = 557) across varied, online course modalities (synchronous and asynchronous) were required to create four problem-solving videos 3–8 min in duration. Assessment tools included a self-assessment of learning gains survey given to control and experimental groups and a post-video creation survey given only to experimental groups. Grade data was also collected from all sections. Comparing the experimental and control groups, students showed a statistically significant gain in their ability to give oral presentations, create videos, and edit videos. Qualitative data from free-response questions corroborate these gains and suggest that students also grew in content knowledge and conceptual understanding through these assignments. Our study implements a multimedia theoretical framework which suggests students learn more effectively from consuming presentations with both auditory and visual components. Our results suggest students see similar gains from producing presentations with both auditory and visual components. Further our results suggest that multimedia production enhances students’ presentation skills. From a practical perspective, this study suggests that faculty should incorporate student-created videos in online classes, which typically require oral presentations in person. Faculty are also advised to require oral and visual components within these videos to maximize learning gains from the perspective of a multimedia theoretical framework.

Winter Wheat Experiments to Optimize Sowing Dates and Densities in a High-Yielding Environment in New Zealand: Field Experiments and AgMIP-Wheat Multi-Model Simulations

This paper describes the data set that was used to test the accuracy of twenty-nine crop models in simulating the effect of changing sowing dates and sowing densities on wheat productivity for a high-yielding environment in New Zealand. The data includes one winter wheat cultivar (Wakanui) grown during six consecutive years, from 2012-2013 to 2017-2018, at two farms located in Leeston and Wakanui in Canterbury, New Zealand. The simulations were carried out in the framework of the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat). Data include local daily weather data, soil profile characteristics and initial conditions, crop measurements at maturity (grain, stem, chaff and leaf dry weight, ear number and grain number, grain unit dry weight), and at stem elongation and anthesis (total above ground dry biomass, leaf number per stem and leaf area index). Several in-season measurements of the normalized difference vegetation index (NDVI) and the fraction of intercepted photosynthetically active radiation (FIPAR) are also available. The crop model simulations include both daily in-season and end-of-season results from twenty-nine wheat models.

Carbon emission from the Lower Ob River floodplain during spring flood

Carbon emission from Arctic rivers constitutes a positive feedback between the climate warming and C cycle. However, in case of rivers with extensive floodplains, the impacts of temporary water bodies and secondary channels on CO2 exchange with atmosphere, compared to the main stem and tributaries, remain strongly understudied. In order to quantify the relative role of various water bodies of the Arctic river basin in the C cycle, the hydrochemical variables and greenhouse gases GHG concentrations and fluxes were measured within the floodplain of the largest Arctic River, Ob, in its low reaches located in the permafrost zone. These included the main stem, secondary channels, tributaries and floodplain lakes sampled over a 900 km north-south transect (25,736 km2 of the main stem and adjacent floodplain area; 7893 km2 water surface) during peak of spring flood (May 2023). In addition to main stem and tributaries, providing less than a half of overall C flux, floodplain lakes and secondary channels acted as important factor of C emission from the floodplain water surfaces. Multi-parametric statistical treatment of the data suggested two main processes of C emission from the Ob River floodplain waters: terrestrial organic matter-rich flooded wetlands (fens) provided elevated pCO2, whereas the sites of possible groundwater discharge in the secondary channels decreased the CO2 fluxes due to more alkaline environments, rich in labile metals and anionic elements.Based on available high-resolution Landsat-8 images, which matched the period of field work, it was found that the total water coverage of the floodplain during spring 2023 was 30 % of overall territory, compared to 18 % during the baseflow. Based on chamber-measured CO2 fluxes (1.56 ± 0.47 g C-CO2 m−2 d−1), overall CO2 emissions during 2 months of the spring flood from the entire Lower Ob River floodplain water surfaces including the main stem amounted to 0.73 ± 0.25 Tg C. Diffuse CH4 flux represented <1 % of total C flux. The main stem of the Ob River accounted for 34 % and 18 % of CO2 and CH4 emissions, respectively, whereas the floodplain lakes provided 59 % and 50 % of CO2 and CH4 emission, respectively. Considering that the low reaches of the Ob River represent >70 % of total river basin floodplain, and that during some years, the entire floodplain can be covered by water, emissions from the river – if assessed solely from summer (July–August) measurements – can be at least 3 times underestimated. It is therefore important to account for extended water surface during high water levels on Arctic rivers when assessing global riverine C emissions.

From tree to plot: investigating stem CO2 efflux and its drivers along a logging gradient in Sabah, Malaysian Borneo.

Stem respiration constitutes a substantial proportion of autotrophic respiration in forested ecosystems, but its drivers across different spatial scales and land-use gradients remain poorly understood. This study quantifies and examines the impact of logging disturbance on stem CO2 efflux (EA) in Malaysian Borneo. EA was quantified at tree- and stand-level in nine 1-ha plots over a logging gradient from heavily logged to old-growth using the static chamber method. Tree-level results showed higher EA per unit stem area in logged vs old-growth plots (37.0 ± 1.1 vs 26.92 ± 1.14 g C m-2 month-1). However, at stand-level, there was no difference in EA between logged and old-growth plots (6.7 ± 1.1 vs 6.0 ± 0.7 Mg C ha-1 yr-1) due to greater stem surface area in old-growth plots. Allocation to growth respiration and carbon use efficiency was significantly higher in logged plots. Variation in EA at both tree- and stand-level was driven by tree size, growth and differences in investment strategies between the forest types. These results reflect different resource allocation strategies and priorities, with a priority for growth in response to increased light availability in logged plots, while old-growth plots prioritise maintenance and cell structure.

Clinical Utility of Optical Genome Mapping for Improved Cytogenomic Analysis of Gliomas.

A glioma is a solid brain tumor which originates in the brain or brain stem area. The diagnosis of gliomas based on standard-of-care (SOC) techniques includes karyotyping, fluorescence in situ hybridization (FISH), and chromosomal microarray (CMA), for detecting the pathogenic variants and chromosomal abnormalities. But these techniques do not reveal the complete picture of genetic complexity, thus requiring an alternative technology for better characterization of these tumors. The present study aimed to evaluate the clinical performance and feasibility of using optical genome mapping (OGM) for chromosomal characterization of gliomas. Herein, we evaluated 10 cases of gliomas that were previously characterized by CMA. OGM analysis showed concordance with the results of CMA in identifying the characterized Structural Variants (SVs) in these cases. More notably, it also revealed additional clinically relevant aberrations, demonstrating a higher resolution and sensitivity. These clinically relevant SVs included cryptic translocation, and SVs which are beyond the detection capabilities of CMA. Our analysis highlights the unique capability of OGM to detect all classes of SVs within a single assay, thereby unveiling clinically significant data with a shorter turnaround time. Adopting this diagnostic tool as a standard of care for solid tumors like gliomas shows potential for improving therapeutic management, potentially leading to more personalized and timely interventions for patients.

The Case for Research and Publication in Retirement

This column examines the role of research and publication by retired faculty from two perspectives: the varying ability according to discipline and the extrinsic and intrinsic rewards of remaining an active scholar. Faculty that depend heavily on university support and working in teams such as many STEM areas and some Social Science disciplines will find it harder to remain active researchers. Humanities faculty with a tradition of individual authorship and dependence upon library resources will face fewer barriers. Fine Arts faculty fall in the middle depending on their area. Few retired faculty will receive extrinsic financial rewards and will lose the indirect rewards from their universities as active researchers. The main intrinsic reward is maintaining their self-image as scholars with the ability to share their knowledge. Faculty may continue to get satisfaction from monitoring their influence from their citation and readership counts. The column also recognizes that some faculty will make the valid decision to give up research and publication to focus on other personal rewards.

Aboveground biomass and structural characteristics of poisonous Pieris japonica shrub stands dominating under deer pressure

ABSTRACT Canopy tree seedlings rarely grow in regions with overabundant deer in Japan, whereas Pieris japonica, a shrub species that is unpalatable to deer, has been expanding its habitat and occasionally forms dense pure stands in disturbed locations. Although this species could be the key to understanding vegetation structure and function under intense deer pressure, little information is available regarding the structural and functional aspects of P. japonica stands. Here, we examined aboveground mass (M A) and several structural parameters for 13 P. japonica stands of various developmental stages (3–64 years old as estimated from the number of growth rings of component plants); the stand M A and leaf area were estimated by developing relevant allometric equations for individual plants. The M A of P. japonica stands (≤50 Mg ha−1) were less than a fifth of that recorded for neighboring forests consisting of deciduous broad-leaved trees and conifers. Leaf area index (≤4.9 m2 m−2) and basal stem area (≤62 m2 ha−1, determined at 5 cm from the ground) of the stands reached the level comparable to tree forests, whereas canopy height (≤4.4 m) was much shorter and plant density (≥7,300 stems ha−1) was fairly high compared with those of average tree forests in neighboring regions. The stand structure lacked thick and long boles, resulting in low biomass accumulation in P. japonica stands. Thus, one possible consequence of the long-lasting deer pressure is the reduction of the carbon sequestration capacity to a fraction of that of the present forests.

A novel use of mangrove root collar height to infer soil surface elevation change following forest degradation and clearance

Current methods for monitoring changes in mangrove soil surface elevation over time are limited in their spatial extent, costly and often involve difficult survey design. We developed a simple, extensive, rapid and inexpensive method to monitor soil surface elevation changes in mangroves following degradation: measuring the distance between the soil surface and the root collar (defined here as the height of emergence of a stem that is representative of the cross-sectional area of the main tree stem) of both live trees and dead stumps (called Δd). Δd was measured for two species, Bruguiera gymnorrhiza and Ceriops tagal, within the study area, which was categorised into intact, degraded and deforested mangroves in Tsimipaika Bay, Madagascar. A total of 227 subplots, containing 3066 individual tree stumps and live trees were surveyed within our study site, which spans approximately 4000 ha of mangroves. We used a linear model to test relationships between Δd and forest status, species, and live trees or remnant stumps. When measured on B. gymnorrhiza stumps, Δd (cm, mean ± standard error) increased from intact (18.4 ± 2.6) to degraded (24.7 ± 1.5) and finally to deforested mangroves (31.6 ± 0.7), indicating increasing soil elevation loss. A similar pattern did not emerge for C. tagal due to anthropogenic exploitation of their stumps, selectively removing large individuals for charcoal production, thereby confounding estimates of Δd. In addition, we used Δd measurements to construct a spatial analysis of carbon (C) loss following mangrove degradation in the bay. Our analysis predicted a mean C loss of 25.6 Mg C ha−1 (standard error 3.64 × 10−4) representing a lower mean loss value with reduced variability compared to previous Malagasy studies based on limited replicates within deforested areas. Our study demonstrated the use of this simple, yet scientifically rigorous approach to monitor soil elevation loss over time or following severe degradation in mangrove forests. These data facilitate estimates of C emissions from soils and vulnerability to sea level rise when mangroves are degraded. The simplicity and cost-effectiveness of our approach also provide an opportunity to actively involve local communities and practitioners in mangrove management and promote citizen science.

Characterization of a new dwarf watercress (Nasturtium officinale R Br.) ‘Boldrewood’ in commercial trials reveals a consistent increase in chemopreventive properties in a longer-grown crop

We describe ‘Boldrewood’, a new accession of watercress (Nasturtium officinale R. Br.) that was initially found to be of short stature with high antioxidant capacity (Payne et al. 2015). This was of particular commercial interest because it offered the potential to develop a novel watercress product with fork-friendly size and improved health-benefits. In two commercial trials comparing Boldrewood to a control, we confirmed that Boldrewood exhibits a dwarf phenotype with a significantly shorter stem and consistently produced more leaves per stem area alongside comparable crop biomass. The antioxidant and chemopreventive capacity of Boldrewood were comparable to the commercial crop. For the first time, we observed a novel increase in glucosinolate concentrations and cytotoxicity to cancer cells, characterised as decreased IC50 (half-maximal concentration of an inhibitor), associated with increased crop age at harvest. This suggests that a slower-growing and longer to harvest crop provides a significant improvement in health benefits gained in this leafy crop which is already known to be highly nutrient dense and with considerable chemopreventive ability.

Meta-QTL analysis and identification of candidate genes for multiple-traits associated with spot blotch resistance in bread wheat

In bread wheat, a literature search gave 228 QTLs for six traits, including resistance against spot blotch and the following five other related traits: (i) stay green; (ii) flag leaf senescence; (iii) green leaf area duration; (iv) green leaf area of the main stem; and (v) black point resistance. These QTLs were used for metaQTL (MQTL) analysis. For this purpose, a consensus map with 72,788 markers was prepared; 69 of the above 228 QTLs, which were suitable for MQTL analysis, were projected on the consensus map. This exercise resulted in the identification of 16 meta-QTLs (MQTLs) located on 11 chromosomes, with the PVE ranging from 5.4% (MQTL7) to 21.8% (MQTL5), and the confidence intervals ranging from 1.5 to 20.7 cM (except five MQTLs with a range of 36.1–57.8 cM). The number of QTLs associated with individual MQTLs ranged from a maximum of 17 in MQTL3 to 8 each in MQTL5 and MQTL8 and 5 each in MQTL7 and MQTL14. The 16 MQTLs, included 12 multi-trait MQTLs; one of the MQTL also overlapped a genomic region carrying the major spot blotch resistance gene Sb1. Of the total 16 MQTLs, 12 MQTLs were also validated through marker-trait associations that were available from earlier genome-wide association studies. The genomic regions associated with MQTLs were also used for the identification of candidate genes (CGs) and led to the identification of 516 CGs encoding 508 proteins; 411 of these proteins are known to be associated with resistance against several biotic stresses. In silico expression analysis of CGs using transcriptome data allowed the identification of 71 differentially expressed CGs, which were examined for further possible studies. The findings of the present study should facilitate fine-mapping and cloning of genes, enabling Marker Assisted Selection.

Quantifying Visual Differences in Drought-Stressed Maize through Reflectance and Data-Driven Analysis

Environmental factors, such as drought stress, significantly impact maize growth and productivity worldwide. To improve yield and quality, effective strategies for early detection and mitigation of drought stress in maize are essential. This paper presents a detailed analysis of three imaging trials conducted to detect drought stress in maize plants using an existing, custom-developed, low-cost, high-throughput phenotyping platform. A pipeline is proposed for early detection of water stress in maize plants using a Vision Transformer classifier and analysis of distributions of near-infrared (NIR) reflectance from the plants. A classification accuracy of 85% was achieved in one of our trials, using hold-out trials for testing. Suitable regions on the plant that are more sensitive to drought stress were explored, and it was shown that the region surrounding the youngest expanding leaf (YEL) and the stem can be used as a more consistent alternative to analysis involving just the YEL. Experiments in search of an ideal window size showed that small bounding boxes surrounding the YEL and the stem area of the plant perform better in separating drought-stressed and well-watered plants than larger window sizes enclosing most of the plant. The results presented in this work show good separation between well-watered and drought-stressed categories for two out of the three imaging trials, both in terms of classification accuracy from data-driven features as well as through analysis of histograms of NIR reflectance.

Profiles of students in STEM across Latin America and Europe

The gender gap in Science, Technology, Engineering and Mathematics is a problem that affects higher education institutions across the globe. Although some exceptions exist, such as Algeria, Benin, Oman or Myanmar (according to the Global Gender Gap Report 2022), women represent around 15% of STEM programs. The low number of women in these areas impacts the development of societies. STEM areas are crucial to solve society's problems and improving people's lives. However, half of the population (the females) is not represented in the teams that work to approach those problems. This work aims to analyse the profiles of current and past students from STEM programs in Latin American and European higher education institutions. We collected information about their motivations and concerns when they chose to enter university. We statistically analysed the differences finding that there are some significant ones. They mostly confirm the literature, showing that males and females have different views and approaches in the STEM field. Females look more for social aspects, while males tend to prioritise career perspectives. The findings suggest that there can be a mutual exchange of good practices between Latin American and European attraction campaigns thanks to the similarity found.

EEG Innovations in Neurological Disorder Diagnostics: A Five-Year Review

The study provides a description of electroencephalography (EEG) advancements and their application in diagnosing and assessing various neurological diseases over the previous five years. The paper covers how EEG is used to examine epilepsy, sleep disorders, movement disorders, cognitive function, and brain damage. In epilepsy, EEG remains critical for seizure diagnosis, categorization, and localization of epileptogenic zones. Recent enhancements include the integration of machine learning techniques with high-density EEG equipment. In terms of sleep disorders, aberrant patterns suggestive of illnesses such as sleep apnea or narcolepsy may be diagnosed by a sleep architecture study utilizing EEGs, which can also be used to track therapy response. Cortical involvement occurs in Parkinson’s disease and Huntington’s disease, as well as other areas of the brain stem or basal ganglia. It helps researchers learn more about the cortical damage produced by these disorders, which contributes greatly to understanding their pathophysiology. Aside from that, cognitive evaluation based on EEG has evolved via the creation of quantifiable biomarkers for early identification and monitoring of deterioration in Alzheimer’s disease, among others. Traumatic injuries can damage brain functioning, hence knowledge regarding severity predicted outcomes can be acquired by Traumatic Brain Injury evaluation utilizing EEG.

What are the determinants of career preferences? The case of high school students in Chile

ABSTRACT Identifying factors influencing career preferences is relevant for faculty, education planners, and authorities when designing educational policies. However, these factors vary according to the socioeconomic context. We estimate a discrete choice model to investigate the determinants of career preferences using a survey of high school students (n = 1,658) in Santiago, Chile. Results show that gender, academic performance, type of school, parents’ occupation, and high school track are significant, but their influences vary among career categories. We concluded that a gender gap exists. Males are more prone to choose STEM areas, whereas females prefer humanities and health careers. The influence of the parents’ occupation is evident in specific fields, with differences between girls and boys. High school vocational track influences career preferences.

Revisiting Male Allies in Mathematics and Physics Throughout History: Role Models for Men in STEM Education

In the academic world, there are also gender inequalities, which are especially visible in certain masculinized STEM areas, such as physics and mathematics. An essential factor in correcting these inequalities is the involvement of men, who should act as “allies” in the university setting. Likewise, as the literature shows us, we must offer models with gender-incongruent roles to break down stereotypes and promote non-traditional behaviors. However, to date, these actions have been especially directed toward women, who generally do not hold power and therefore have less possibility of promoting change. For the first time, this work compiles, in a single document, important male physicists and mathematicians who acted as allies of women throughout history. These examples can be presented to provide male references in the teaching of physics and mathematics at university (and high school). With this initiative, we intend to contribute to incorporating the gender perspective in university teaching, since, in practice, university professors are unaware of references of alternative masculinities in the academic world. We hope that this article will be the seed to recover hidden male allies in these and other scientific fields. This can help break down stereotypes, and contrary to previous actions, this work is especially directed toward men.

Substantial uptake of nitrous oxide (N2O) by shoots of mature European beech

Similar to soils, tree stems emit and consume nitrous oxide (N2O) from the atmosphere. Although tree leaves dominate tree surface area, they have been completely excluded from field N2O flux measurements and therefore their role in forest N2O exchange remains unknown. We explored the contribution of leaf fluxes to forest N2O exchange. We determined the N2O exchange of mature European beech (Fagus sylvatica) stems and shoots (i.e., terminal branches) and of adjacent forest floor, in a typical temperate upland forest in Germany. The beech stems, and particularly the shoots, acted as net N2O sinks (−0.254 ± 0.827 μg N2O m−2 stem area h−1 and −4.54 ± 1.53 μg N2O m−2 leaf area h−1, respectively), while the forest floor was a net source (2.41 ± 1.08 μg N2O m−2 soil area h−1). The unstudied tree shoots were identified as a significant contributor to the net ecosystem N2O exchange. Moreover, we revealed for the first time that tree leaves act as substantial N2O sinks. Although this is the first study of its kind, it is of global importance for the proper design of future flux studies in forest ecosystems worldwide. Our results demonstrate that excluding tree leaves from forest N2O flux measurements can lead to misinterpretation of tree and forest N2O exchange, and thus global forest greenhouse gas flux inventories.

A Generic Multilevel Structure for Educational Escape Rooms

The use of active learning activities for evaluation purposes has been reported to improve results in all areas within the education field. In this paper we describe a generic multilevel structure for educational escape rooms, along with a use case where such a design was applied for assessment in a course within the STEM area. Furthermore, a project-based learning activity was also added to complement that assessment. The results obtained expose an increase in both academic performance and success rate, where the percentage rises in both cases go in line to the literature. Additionally, a high level of engagement was measured during those active learning activities, which is reported to lead to better performance and improved learning. Hence, this high engagement seems to be the primary source of the increments experienced.

The gender representation of women and men in the occupational areas of STEM and care work in German textbooks

Science, technology, engineering, and mathematics (STEM) occupations and care work occupations are highly segregated by gender. School textbooks play an essential socializing role in determining which occupations are perceived as typically male or female. Existing research on the gender representation of STEM and care work occupations in textbooks is limited in scope. Therefore, we used quantitative text analyses in a large sample of 202 current German textbooks to examine the gender representation of STEM and care work occupations. We used collocation analysis to explore the nature of the occupational representations, focusing on agency and communion. Men were portrayed significantly more frequently than women in STEM and care work occupations. Adjectives of agency and communion occurred rarely in the collocations. Further research is required to test our findings in other cultures and to take a more differentiated look into the use of agency and communion in textbooks.