bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potassium and magnesium uptake and fertiliser use efficiency by oil palm at contrasting sites in Sumatra, Indonesia
Authors: Prabowo Noto E. , Foster Hugh L. , Nelson Paul N. 
Published: June 2023

AbstractThe accuracy of fertiliser recommendations can be improved by knowledge of use efficiency of applied nutrients. The aim of this work was to determine the efficiency with which mature oil palm (Elaeis guineensis Jacq.) recovers and uses fertiliser K and Mg under different environmental conditions in Sumatra, Indonesia. The work was carried out in seven factorial fertiliser trials (NPKMg) at sites with contrasting soils, slope and rainfall (1500–3500 mm annual average). We recorded the palms’ fresh fruit bunch yield (weekly), vegetative growth and nutrient content (annually), and soil properties (once during the study) over three years. Nutrient content of the above-ground palm components was calculated by multiplying concentration by biomass. Palm responses to K and Mg application were analysed at non-limiting values of the other nutrients. Fresh fruit bunch yield was significantly increased by application of K in five of the seven sites (by 4.8–11.9 t ha−1) and by Mg in two of the seven sites (by 7.2–12.3 t ha−1). Application of these fertilisers also significantly increased growth and nutrient content in most situations. Nutrient use efficiency declined with increasing yield and nutrient uptake. In the five sites with most positive yield responses to K, agronomic efficiency of K and Mg differed between sites due to differences in recovery efficiency. Recovery efficiency was correlated positively to soil K, Mg and silt content and rainfall, and negatively to slope and soil moisture deficit. In contrast, physiological efficiency of K and Mg use was similar across sites, despite differences in palm age and planting density. It thus appeared that physiological efficiency was determined by genotype and that variation in agronomic efficiency was mostly a result of differences in recovery efficiency.
Cereal yields in Ethiopia relate to soil properties and N and P fertilizers
Authors: Elias Eyasu , Okoth Peter F. , Stoorvogel Jetse J. , Berecha Gezahegn , Mellisse Beyene Teklu , Mekuriaw Abate , Gebresamuel Girmay , Selassie Yihenew G. , Biratu Gizachew Kebede , Smaling Eric M.A. 
Published: June 2023

AbstractThere is an urgent need to increase cereal yields in the Ethiopian Highlands to ensure national food security. A major crop response-to-fertilizer program was set up in 2017–2019 as part of the CASCAPE project in the Ethiopian Highlands. It covered 33 experiments on maize, teff and wheat in five reference soil groups (Nitisols, Luvisols, Vertisols, Leptosols and Andosols). Five levels of multi-nutrient fertilizer (50–300 kg NPSZnB ha− 1 and 100 kg urea ha− 1) were applied. At the lower fertilizer level, average yields were 5500, 1500 and 3300 kg ha− 1 for maize, teff and wheat, respectively. At the highest rate, yields were 7900, 2100 and 5000 kg ha− 1. Maize and wheat yields were strongly correlated to the reference soil groups, but not to rainfall differences. Wheat yields were also positively correlated to soil organic carbon levels, underpinning the need to apply integrated soil fertility management. Comparing NPSZnB fertilizers with NPS and DAP fertilizers revealed a lack of statistically significant advantage for the fertilizers including Zn and B. As B was present in fine-granular form in the fertilizer bags, being prone to segregation, firm conclusions on the need for this micronutrient cannot be drawn. The use of ‘recommendation windows’ is suggested to group results into concrete packages at district levels and below, preferably combined with soil maps since soil types were correlated with maize and wheat yields. The windows could then be the starting point to develop ‘last mile’ fertilizer use policies, relevant to farmers and the way they manage their fields in the landscape.
Effect of Iron Salt on Slow Fertilization Through Soy Protein-Based Matrices
Authors: Cuenca-Romero Molinillo Ana , Jiménez-Rosado Mercedes , Pérez-Puyana Víctor M. , Romero Alberto 
Published: June 2023

AbstractDue to the increase in horticultural production intensive techniques are needed. These techniques generate soil degradation, since the natural recovery time between crops is insufficient. The usual way to solve this problem is the use of fertilizers, as they are effective in the short time available. Conventional fertilizers are highly soluble salts, allowing their absorption by plant roots. However, they are dumped on the soils in more quantity than plants need, thus, the excess of unassimilated nutrients contaminates both the soil and groundwater. The main objective of this work was to develop and evaluate an alternative to conventional fertilizers, creating slow-release matrices from a protein by-product to which iron was incorporated. To carry out a more complete study, iron was incorporated in concentrations of 2.5, 5.0 and 10 wt%, using two different salts: iron(II) sulfate heptahydrate (FeSO4·7H2O) and iron chelated with N,N′-ethylenediamine-bis (2-hydroxyphenyl) acetic acid (Fe-EDDHA). Several tests were performed to compare their mechanical properties, micronutrient release profile, water absorption capacity and biodegradability, as well as their final effectiveness in crops. The protein-based matrices with both salts incorporated presented good mechanical properties. However, Fe-EDDHA matrices had a greater water absorption capacity, while FeSO4·7H2O matrices were more efficient in their final application in plants and had a longer biodegradation time. In conclusion, protein-based matrices present a high potential for the slow release of iron, thereby improving crop properties.
A scoping review of the use of visual tools and adapted easy-read approaches in Quality-of-Life instruments for adults
Authors: Milte Rachel , Jemere Digisie , Lay Kiri , Hutchinson Claire , Thomas Jolene , Murray Joanne , Ratcliffe Julie 
Published: June 2023

Abstract
Purpose
Self-Reporting using traditional text-based Quality-of-Life (QoL) instruments can be difficult for people living with sensory impairments, communication challenges or changes to their cognitive capacity. Adapted communication techniques, such as Easy-Read techniques, or use of pictures could remove barriers to participation for a wide range of people. This review aimed to identify published studies reporting adapted communication approaches for measuring QoL, the methodology used in their development and validation among adult populations.

Methods
A scoping review of the literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews checklist was undertaken.

Results
The initial search strategy identified 13,275 articles for screening, with 264 articles identified for full text review. Of these 243 articles were excluded resulting in 21 studies for inclusion. The majority focused on the development of an instrument (12 studies) or a combination of development with some aspect of validation or psychometric testing (7 studies). Nineteen different instruments were identified by the review, thirteen were developed from previously developed generic or condition-specific quality of life instruments, predominantly aphasia (7 studies) and disability (4 studies). Most modified instruments included adaptations to both the original questions, as well as the response categories.

Conclusions
Studies identified in this scoping review demonstrate that several methods have been successfully applied e.g. with people living with aphasia post-stroke and people living with a disability, which potentially could be adapted for application with more diverse populations. A cohesive and interdisciplinary approach to the development and validation of communication accessible versions of QOL instruments, is needed to support widespread application, thereby reducing reliance on proxy assessors and promoting self-assessment of QOL across multiple consumer groups and sectors.
Round number reference points and irregular patterns in reported gross margins
Authors: Cedergren Matthew , Li Valerie 
Published: June 2023

AbstractWe find irregular patterns in the distribution of firms’ reported quarterly gross margin percentages. Specifically, there is significant bunching around percentage integers that are highly round (e.g., multiples of 10, such as 30%, 40%, etc.) or are neatly divisible (e.g., 25%, 75%), compared to what is predicted by counterfactual distributions. Further investigation reveals that highly round gross margin firms are smaller, exert higher effort, achieve higher productivity, have more difficult goals, and pay their CEOs with a higher portion of fixed income. We also find that highly round gross margins are associated with superior performance. Additionally, we do not find consistent evidence that highly round gross margin reference points are linked to external rewards. Collectively, our evidence is consistent with reference-dependent preferences for highly round gross margins likely being driven by intrinsic (rather than extrinsic) motivations.
The Role of Management Science in Forming Next Era Semantics
Authors: Neisig Margit 
Published: June 2023

AbstractThe author has previously in a social system theoretical perspective outlined a position for engaged scholarship in bridging the gulf between theorizing and practice. Partaking as “midwives” for shared semantics in a polycentric network was analyzed as one role for engaged scholars to assist. This paper, however, argues that for a shared semantic reservoir for “next era” leadership and management to form, one more layer of reflection is needed: how to manage “backwards” from the future. The paper also addresses geographic inclusion/exclusion, which seems to be reinforced as digitalization and abstract knowledge are gaining ground, even though bits and abstract knowledge should easily be detached from spatial limitations. Research programs targeting “grand challenges” and “grand solutions” is defined by megaprojects defined and financed by large foundations or other large-scale actors, and well-connected international research centers and research networks are needed to influence this agenda-setting. The paper argues that forming regional polycentric networks (including scientific research scholars) may to a greater extend bridge the global agendas with local and regional issues to not be excluded in a transition process.
Taking truth seriously: the case of generics
Authors: Gustafsson Martin 
Published: June 2023

AbstractBy discussing a large number of different examples, this paper argues that the class of so-called generic statements is much more heterogeneous that is usually recognized in the contemporary debate. It is claimed that the theoretical tendency towards overgeneralization or homogenization makes it impossible to adequately understand how generic statements function in language and to handle the dangers involved in generics that express and promote social stereotypes and prejudices. It is also argued that such overgeneralization involves what J. L. Austin described as the “fetishizing” of the true/false distinction. Several influential theories are criticized, including Sterken’s error theory, Leslie’s conception of weak generics, and the idea that generics involve loose talk.
Expert example but not negative example standards help learners accurately evaluate the quality of self-generated examples
Authors: Froese Linda , Roelle Julian 
Published: June 2023

Abstract
In acquiring new conceptual knowledge, learners often engage in the generation of examples that illustrate the to-be-learned principles and concepts. Learners are, however, bad at judging the quality of self-generated examples, which can result in suboptimal regulation decisions. A promising means to foster judgment accuracy in this context is providing external standards in form of expert examples after learners have generated own examples. Empirical evidence on this support measure, however, is scarce. Furthermore, it is unclear whether providing learners with poor examples, which include typical wrong illustrations, as negative example standards after they generated own examples would increase judgment accuracy as well. When they generated poor examples themselves, learners might realize similarities between their examples and the negative ones, which could result in more cautious and hence likely more accurate judgments concerning their own examples. Against this background, in a 2 × 2 factorial experiment we prompted N = 128 university students to generate examples that illustrate previously encountered concepts and self-evaluate these examples afterwards. During self-evaluation, we varied whether learners were provided with expert example standards (with vs. without) and negative example standards (with vs. without). In line with previous findings, expert example standards enhanced learners’ judgment accuracy. The newly developed negative example standards showed inconsistent and partly even detrimental effects regarding judgment accuracy. The results substantiate the notion that expert example standards can serve as a promising means to foster accurate self-evaluations in example generation tasks, whereas negative example standards should be treated with caution.
Multimodal analysis of interaction data from embodied education technologies
Authors: Walkington Candace , Nathan Mitchell J. , Huang Wen , Hunnicutt Jonathan , Washington Julianna 
Published: June 2023

AbstractThe emergence of immersive digital technologies, such as shared augmented reality (shAR), virtual reality (VR) and motion capture (MC) offers promising new opportunities to advance our understanding of human cognition and design innovative technology-enhanced learning experiences. Theoretical frameworks for embodied and extended cognition can guide novel ways in which learning in these environments can be understood and analyzed. This conceptual paper explores a research method in Educational Technology—multimodal analysis for embodied technologies—and provides examples from shAR, VR, and MC projects that use this approach. This analysis involves tracking learners’ gestures, actions on physical and virtual objects, whole body movements and positions, and their talk moves, in addition to other relevant modalities (e.g., written inscriptions), over time and across space. We show how this analysis allows for new considerations to arise relating to the design of educational technology to promote collaboration, to more fully capture students’ knowledge, and to understand and leverage the perspectives of learners.
Design, development, and evaluation of an individual digital study assistant for higher education students
Authors: Karrenbauer Christin , Brauner Tim , König Claudia M. , Breitner Michael H. 
Published: June 2023

AbstractThe growing number of students in higher education institutions, along with students’ diverse educational backgrounds, is driving demand for more individual study support. Furthermore, online lectures increased due to the COVID-19 pandemic and are expected to continue, further accelerating the need for self-regulated learning. Individual digital study assistants (IDSA) address these challenges via ubiquitous, easy, automatic online access. This Action Design Research-based study entailed designing, developing, and evaluating an IDSA that aims to support students’ self-regulated learning, study organization, and goal achievement for students in their early study phase with limited knowledge of higher education institutions. Therefore, data from 28 qualitative expert interviews, a quantitative survey of 570 students, and a literature review was used to derive seven general IDSA requirements, including functionalities, contact options, data-based responsiveness and individuality, a well-tested system, marketing strategies, data protection, and usability. The research team incorporated the identified requirements into an IDSA prototype, tested by more than 1000 students, that includes functionalities as recommending lectures based on individual interests and competencies, matching students, and providing feedback about strengths and weaknesses in learning behaviors. The results and findings compromise a knowledge base for academics, support IDSA theory building, and illustrate IDSA design and development to guide system developers and decision-makers in higher education. This knowledge can also be transferred to other higher education institutions to support implementing IDSAs with limited adaptations. Further, this research introduces a feasible functional system to support self-organization.
Modeling the combined effect of initial density and temperature on the soil–water characteristic curve of unsaturated soils
Authors: Pham Tuan A. , Sutman Melis 
Published: June 2023

AbstractThe soil–water characteristic curve (SWCC) plays an important role in solving the stability and deformation problems of unsaturated soils. In many practical situations, soils are usually experienced by both deformations and thermal conditions. In this interest, the paper proposes a simple and effective model to predict the combined effect of initial density and temperature on the SWCC and to be able to quantify the changes in thermal-hydro-mechanical behavior of unsaturated soils. In the first step, an initial density-dependent SWCC model is presented using the translation principle between particle-size distribution curve and soil–water characteristic curve. In the second part, a non-isothermal model is proposed to predict the effect of temperature on the SWCC. The key to the non-isothermal model is considering five different temperature-dependent functions, which are surface tension, contact angle, particle-size expansion, void ratio, and water density. On the basis of 22 data sets of thermal volume change, this study also developed further a theoretical correlation between void ratio and temperature that is directly related to soil plasticity. It was observed that the value of the thermal void ratio increases as soil plasticity increases, and there is a nonlinear relationship between the plasticity index and the void ratio. Because of this, soils with high plasticity are more susceptible to volume changes caused by temperature fluctuations than soils with low plasticity. A coupled mechanical–thermal model is then produced which is capable to predict separately or simultaneously the effect of temperature and initial density on SWCC. The proposed model is validated against several test data sets available in the literature. The results show that the proposed model has a good performance in predicting the variation in SWCC with arbitrary temperature and initial density.
Emotional Processing and Maltreatment During Childhood as Factors of Vulnerability to Alcohol Abuse in Young Adults
Authors: Rubio Gabriel , Gasparyan Ani , Duque Almudena , García-Gutiérrez María Salud , Navarrete Francisco , Navarro Daniela , Manzanares Jorge 
Published: June 2023

AbstractDifferent studies suggest a strong association between childhood abuse and alcohol use disorders (AUDs). The modulation of the startle response has been used to assess emotional processing in AUDs. The main objective of the study was to investigate the startle reflex responses to different stimuli in young adults with varying types of childhood abuse in comparison with a control group according to their current alcohol consumption and the presence of a parent with alcohol dependence or not. A clinical sample of 606 adolescents, divided into five groups: no abuse, physical neglect, emotional neglect, emotional abuse, physical abuse, and sexual abuse, were assessed on their pattern of alcohol consumption and their family history of alcoholism. The proportion of participants with at least one alcohol-dependent parent was higher in all types of abuse. The proportion of heavy drinkers and alcohol-dependent participants was higher in the groups with physical neglect and sexual abuse. Heavy drinkers and alcohol dependents showed a lower startle reflex response to emotional pictures, especially alcohol-related ones. Adolescents exposed to physical and sexual abuse during childhood showed a mitigated startle response to appetitive and alcohol-related pictures. The results of this exploratory study reveal that childhood maltreatment modulates emotional processing to alcohol-related stimuli during adolescence. The evaluation of these patients’ startle response could be considered a prognostic biomarker for establishing personalized preventive strategies during the adolescent stage to avoid, to a large extent, future problems derived from alcohol consumption.
The “Free Voters”: A Decent Alternative for Conservatives?
Authors: Wurthmann L. Constantin , Angenendt Michael , Thomeczek Jan Philipp 
Published: June 2023

AbstractThe Free Voters (Freie Wähler) party is becoming a more serious competitor in the German party system. It gained parliamentary representation in the Rhineland Palatine in 2021 and has been governing with the Christian Social Union in Bavaria since 2018. In addition, the Free Voters party now holds two of the 96 German parliamentary member positions in the European Parliament and is, at the federal level, the extraparliamentary opposition party with the greatest number of votes. Nevertheless, there has, to date, been no analysis examining people’s motives for voting for the Free Voters or exploring their future openness to voting for the party. This article addresses this oversight by identifying factors, based on population-representative data from the 2021 Bundestag elections, that favour openness and voting for this increasingly influential party. Our analysis shows that a more general dissatisfaction with democratic outputs, a conservative attitude, and low perceptions of spatial distance from the political positions of the Free Voters have significant positive effects.
Implementation of totally robotic right hemicolectomy: lessons learned from a prospective cohort
Authors: Meyer Jeremy , Wijsman Jan , Crolla Rogier , van der Schelling George 
Published: June 2023

AbstractRobotics facilitates the realization of intra-corporeal anastomosis during right hemicolectomy and allows extracting the operative specimen through a C-section, offering potential benefits in terms of post-operative recovery and incidence of incisional hernia. Therefore, we progressively implemented robotic right hemicolectomy (robRHC) in our centre, and would like to report our initial experience with the technique. Consecutive patients who underwent robRHC within a single centre were prospectively included. Variables related to patients’ demographics, surgical procedures, post-operative recovery and pathological outcomes were collected. Sixty patients underwent robRHC in our centre. Indications for robRHC were colon cancer in 58 patients (96.7%) and polyps not amenable to endoscopic resection in 2 patients (3.3%). Fifty-eight patients underwent robRHC with D2 lymphadenectomy and central vessel ligation (96.7%), and two patients (3.3%) had robRHC associated with another procedure. All patients had intra-corporeal anastomosis. The mean ± operative time was of 200.4 ± 114.9 min. Two conversions (3.3%) to open surgery were performed. The mean ± SD length of stay was of 5.4 ± 3.8 days. Seven patients (11.7%) experienced a post-operative complication with a Clavien–Dindo score ≥ 2. Two patients (3.5%) had an anastomotic leak. The mean ± SD number of harvested lymph nodes was of 22.4 ± 7.6. All patients had negative pathological margins (R0 resection). To conclude, robotic RHC is a safe procedure, which can be implemented with satisfying peri- and post-operative outcomes. The potential benefits of the technique remain to be demonstrated by randomized controlled trials.