bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agriculture in the Ancient Maya Lowlands (Part 2): Landesque Capital and Long-term Resource Management Strategies
Authors: Fedick Scott L. , Morell-Hart Shanti , Dussol Lydie 
Published: April 2023

AbstractPre-Columbian food production in the Maya Lowlands was long characterized as reliant on extensive, slash-and-burn agriculture as the sole cultivation system possible in the region, given environmental limitations, with maize as the dominant crop. While aspects of this “swidden thesis” of Maya agriculture have been chipped away in recent years, there has been an underappreciation of the many forms of long-term capital investments in agriculture made by ancient Maya people. Here, we review the last three decades of research that has overturned the swidden thesis, focusing on long-term strategies. We demonstrate long-lasting agricultural investments by Maya people, in social capital including multigenerational land tenure, in cultivated capital including long-lived trees, and in landesque capital including soil amendments and landscape engineering projects, such as terracing and wetland modification.
How Treatment Motivation Predicts Favorable Outcomes in Interdisciplinary Multimodal Pain Treatment Among Patients with Chronic Primary Pain
Authors: Scheidegger Alina , Gómez Penedo Juan Martín , Blättler Larissa Tatjana , Aybek Selma , Bischoff Nina , grosse Holtforth Martin 
Published: April 2023

AbstractAs motivation for psychological treatment at intake has been shown to predict favorable outcomes after an inpatient stay, this study aimed to further characterize the different components of psychological treatment motivation that predict favorable treatment outcomes. 294 inpatients with chronic primary pain participating in an interdisciplinary multimodal pain treatment in a tertiary psychosomatic university clinic completed a battery of psychological questionnaires at intake and discharge. Treatment motivation was assessed at intake using the scales of the FPTM-23 questionnaire, while pain intensity, pain interference, anxiety, and depression were assessed both at intake and discharge. After treatment, pain intensity, pain interference, anxiety, and depression were significantly reduced. While higher levels on the FPTM-23 scale of suffering predicted smaller decreases in anxiety after treatment, higher scores on the scale of hope, i.e., lower levels of hopelessness, predicted lower levels of pain interference, anxiety, and depression after treatment. None of the scales of treatment motivation predicted pain intensity levels after treatment. Above and beyond providing symptom relief, reducing hopelessness and fostering hope regarding the treatment process and outcome might help clinicians treat patients with chronic primary pain more effectively.
Science, Scripture, and Sexuality: The US United Methodist Church at Crossroads
Authors: Johnson Lee , Lukert Barbara 
Published: April 2023

AbstractDuring the past 50 years, medical and behavioral scientists have made great progress in understanding the variables which influence the development of sexual orientation, identity, and consequent behavior. In most instances, homosexuality is influenced by hormonal, genetic, and immunologic variables during fetal development, and the effects cannot usually be altered without consequence. The recent struggle within The United Methodist Church in the USA reflects the difficulty that society in general has with accepting homosexuality as part of the spectrum of sexuality. Hopefully, understanding the factors influencing sexual orientation will aid in reducing prejudice and eventually bring an end to the pain endured by the LGBTQ community, and the conflict within The United Methodist Church, a prototype of the struggle.
Immunohistochemical dynamics of cell wall matrix polymers during tomato autograft healing
Authors: Frey Carlos , Martínez-Romera Nerea , Encina Antonio , Acebes José L. 
Published: April 2023

AbstractA large part of the production of tomato plants is grafted. Although it has recently been described that cell walls play an important role in tomato graft healing, the spatiotemporal dynamics of cell wall changes in this critical process remains largely unknown. The aim of this work was to immunolocalize changes in the major cell wall matrix components of autograft union tissues throughout the course of healing, from 1 to 20 days after grafting (DAG). Homogalacturonan was de novo synthetized and deposited in the cut edges, displaying the low methyl-esterified homogalacturonan a stronger labelling. Labelling of galactan side chains of rhamnogalacturonan increased until 8 DAG, although remarkably a set of cells at the graft union did not show labelling for this epitope. Changes in xylan immunolocalization were associated to the xylem vasculature development throughout, while those of xyloglucan revealed early synthesis at the cut edges. Arabinogalactan proteins increased up to 8 DAG and showed scion-rootstock asymmetry, with a higher extent in the scion. The combination of these changes appears to be related with the success of the autograft, specifically facilitating the adhesion phase between scion-rootstock tissues. This knowledge paves the way for improved grafting using methods that facilitate appropriate changes in the time and space dynamics of these cell wall compounds.
Accuracy Analysis of the On-board Data Reduction Pipeline for the Polarimetric and Helioseismic Imager on the Solar Orbiter Mission
Authors: Albert Kinga , Hirzberger Johann , Castellanos Durán J. Sebastián , Orozco Suárez David , Woch Joachim , Michalik Harald , Solanki Sami K. 
Published: April 2023

AbstractContext: Scientific data reduction on-board deep space missions is a powerful approach to maximise science return, in the absence of wide telemetry bandwidths. The Polarimetric and Helioseismic Imager (PHI) on-board the Solar Orbiter (SO) is the first solar spectropolarimeter that opted for this solution, and provides the scientific community with science-ready data directly from orbit. This is the first instance of full solar spectropolarimetric data reduction on a spacecraft.Methods: In this paper, we analyse the accuracy achieved by the on-board data reduction, which is determined by the trade-offs taken to reduce computational demands and ensure autonomous operation of the instrument during the data reduction process. We look at the magnitude and nature of errors introduced in the different pipeline steps of the processing. We use an MHD sunspot simulation to isolate the data processing from other sources of inaccuracy. We process the data set with calibration data obtained from SO/PHI in orbit, and compare results calculated on a representative SO/PHI model on ground with a reference implementation of the same pipeline, without the on-board processing trade-offs.Results: Our investigation shows that the accuracy in the determination of the Stokes vectors, achieved by the data processing, is at least two orders of magnitude better than what the instrument was designed to achieve as final accuracy. Therefore, the data accuracy and the polarimetric sensitivity are not compromised by the on-board data processing. Furthermore, we also found that the errors in the physical parameters are within the numerical accuracy of typical RTE inversions with a Milne-Eddington approximation of the atmosphere.Conclusion: This paper demonstrates that the on-board data reduction of the data from SO/PHI does not compromise the accuracy of the processing. This places on-board data processing as a viable alternative for future scientific instruments that would need more telemetry than many missions are able to provide, in particular those in deep space.
Chow diet in mouse aging studies: nothing regular about it
Authors: Lee Jennifer , Purello Chloe , Booth Sarah L. , Bennett Brian , Wiley Christopher D. , Korstanje Ron 
Published: April 2023

Abstract
Chow diet is used in the majority of rodent studies and, although assumed to be standardized for dietary source and nutritional contents, it varies widely across commercial formulations. Similarly, current approaches to study aging in rodents involve a single-diet formulation across the lifespan and overlook age-specific nutritional requirements, which may have long-term effects on aging processes. Together, these nutrition-based disparities represent major gaps in geroscience research, affecting the interpretation and reproducibility of the studies. This perspective aims to raise awareness on the importance of rodent diet formulation and proposes that geroscientists include detailed descriptions of all experimental diets and feeding protocols. Detailed reporting of diets will enhance rigor and reproducibility of aging rodent studies and lead to more translational outcomes in geroscience research.
Modeling the grid cell activity based on cognitive space transformation
Authors: Zhang Zhihui , Tang Fengzhen , Li Yiping , Feng Xisheng 
Published: April 2023

AbstractThe grid cells in the medial entorhinal cortex are widely recognized as a critical component of spatial cognition within the entorhinal-hippocampal neuronal circuits. To account for the hexagonal patterns, several computational models have been proposed. However, there is still considerable debate regarding the interaction between grid cells and place cells. In response, we have developed a novel grid-cell computational model based on cognitive space transformation, which established a theoretical framework of the interaction between place cells and grid cells for encoding and transforming positions between the local frame and global frame. Our model not only can generate the firing patterns of the grid cells but also reproduces the biological experiment results about the grid-cell global representation of connected environments and supports the conjecture about the underlying reason. Moreover, our model provides new insights into how grid cells and place cells integrate external and self-motion cues.
Everyday Political Talk with Strangers: Evidence on a Neglected Arena of the Deliberative System
Authors: Schmitt-Beck Rüdiger , Schnaudt Christian 
Published: April 2023

AbstractAccording to normative theorists, informal conversations between strangers are the most basic manifestation of the political public sphere and truest to the deliberative democratic ideal. Yet systematic empirical evidence on citizens’ everyday political talk outside their social networks is largely missing. Using a unique survey, we examine citizens’ access to the public discursive sphere of political talk with strangers, as well as the frequency and disagreeableness of the conversations held in this arena of the deliberative system. Although widespread and frequent engagement is desirable from a normative point of view, we find this discursive sphere to be considerably smaller in scope and less vibrant than the private and semi-public discursive spheres of political talk within strong and weak network ties. Contrary to theorists’ equation of strangeness with difference, political conversations between strangers also appear rather harmonious. Furthermore, our findings show that psychological dispositions, most notably social trust and conflict orientations, are important drivers of individuals’ involvement in political conversations with strangers. Their impact exceeds the influence of political dispositions, opportunities, and skills. Some aspects of our results raise doubts about the deliberative quality of these conversations.
Mechanisms of Action for Diabetic Bladder Dysfunction — State of the Art
Authors: Powell CR , Gehring Vanessa 
Published: April 2023

AbstractPurpose of ReviewDiabetes (DM) is a common cause of lower urinary tract symptoms (LUTS), known as diabetic bladder dysfunction (DBD). The phenotype for DBD is described in the literature with considerable heterogeneity and includes poor sensation, increased compliance, detrusor underactivity, urinary retention, weak stream, hesitancy, but also urgency incontinence, and, for many, detrusor overactivity. Progress has been made in understanding DBD, yet a unified phenotype or classification system for DBD remains elusive. Much remains unknown about the underlying mechanisms.Recent FindingsNo classification scheme to phenotype DBD has been proposed. Evidence from recent literature suggests four primary drivers: detrusor smooth muscle dysfunction, urothelial dysfunction, autonomic neurologic dysfunction, and circulating and systemic factors such as inflammation, oxidative stress, and microvascular damage. It is likely that these drivers have multi-factorial causes and inter-relate in complex ways. Recent findings in animal models lend new support to detrusor smooth muscle dysfunction as well as inflammation. Reports utilizing next-generation sequencing have begun to appear in the DBD literature and promise further insight.SummaryDBD currently lacks a unified classification scheme and a clear mechanism. The advent of new, more translatable large animal models and next-generation sequencing promises many exciting new tools and models that more closely translate to human disease.
Superfluous ideals of N-groups
Authors: Rajani S. , Tapatee S. , Harikrishnan P. , Kedukodi B. S. , Kuncham S. P. 
Published: April 2023

AbstractWe consider a right nearring N and a module over N (known as, N-group). For an arbitrary ideal (or N-subgroup) $$\varOmega $$
Ω
of an N-group G, we define the notions $$\varOmega $$
Ω
-superfluous, strictly $$\varOmega $$
Ω
-superfluous, g-superfluous ideals of G. We give suitable examples to distinguish between these classes and the existing classes studied in Bhavanari (Proc Japan Acad 61-A:23–25, 1985; Indian J Pure Appl Math 22:633–636, 1991; J Austral Math Soc 57:170–178, 1994), and prove some properties. For a zero-symmetric nearring with 1, we consider a module over a matrix nearring and obtain one-one correspondence between the superfluous ideals of an N-group (over itself) and those of $$M_{n}(N)$$

M
n

(
N
)

-group $$N^{n}$$

N
n

, where $$M_{n}(N)$$

M
n

(
N
)

is the matrix nearring over N. Furthermore, we define a graph of superfluous ideals of a nearring and prove some properties with necessary examples.
Geometric Aspects of Shape Optimization
Authors: Plotnikov Pavel I. , Sokolowski Jan 
Published: April 2023

AbstractWe present a review of known results in shape optimization from the point of view of Geometric Analysis. This paper is devoted to the mathematical aspects of the shape optimization theory. We focus on the theory of gradient flows of objective functions and their regularizations. Shape optimization is a part of calculus of variations which uses the geometry. Shape optimization is also related to the free boundary problems in the theory of Partial Differential Equations. We consider smooth perturbations of geometrical domains in order to develop the shape calculus for the analysis of shape optimization problems. There are many applications of such a framework, in solid and fluid mechanics as well as in the solution of inverse problems. For the sake of simplicity we consider model problems, in principle in two spatial dimensions. However, the methods presented are used as well in three spatial dimensions. We present a result on the convergence of the shape gradient method for a model problem. To our best knowledge it is the first result of convergence in shape optimization. The complete proofs of some results are presented in report (Plotnikov and Sokolowski, Gradient flow for Kohn–Vogelius functional).
Cobot uptake in construction: embedding collaborative robots in digital construction processes
Authors: Schöberl Maximilian , Huber Adrian , Kreppold Sebastian , Dirnaichner Johannes , Kessler Stephan , Fottner Johannes 
Published: April 2023

AbstractThe paper at hand investigates the interrelation of automation and collaboration in digital construction processes. Labor shortage, demographic change, and a deficit in productivity motivate automation in construction. While the automation of single tasks is on its way, there is a lack of collaboration between automated equipment and robots along the digital construction process. To foster the development of collaborating robots, definitions and classification criteria for automation and collaboration activities are given. With these criteria at hand, it is possible to classify scientific examples from literature. On top of that, the paper introduces a prototyping framework for automated and collaborative equipment. The framework is thoroughly tested in an earthworks case study consisting of automated and collaborative excavation and compacting of an area. Through the collaboration of an automated excavator and vibratory plate, it is possible to simultaneously execute the ‘excavation’ and ‘compaction’ task, speeding up the overall earthworks process by a factor of almost two. Along with a higher productivity, the high degree of automation allows for safer work, as less workers are exposed to dangerous workspaces and the quality increases through continuous quality checking and integrated documentation of as-built data in BIM models.
Semantic Attack on Disassociated Transaction Data
Authors: AlShuhail Asma , Shao Jianhua 
Published: April 2023

AbstractAccessing and sharing information, including personal data, has become easier and faster than ever because of the Internet. Therefore, businesses have started to take advantage of the availability of data by gathering, analysing, and utilising individuals’ data for various purposes, such as developing data-driven products and services that can help improve customer satisfaction and retention, and lead to better healthcare and well-being provisions. However, analysing these data freely may violate individuals’ privacy. This has prompted the development of protection methods that can deter potential privacy threats by anonymising data. Disassociation is one anonymisation approach used to protect transaction data. It works by dividing data into chunks to conceal sensitive links between the items in a transaction, but it does not account for semantic relationships that may exist among the items, which adversaries can exploit to reveal protected links. We show that our proposed de-anonymisation approach could break the privacy protection offered by the disassociation method by exploiting such semantic relationships. Our findings indicate that the disassociation method may not provide adequate protection for transactions: up to 60% of the disassociated items can be reassociated, thereby breaking the privacy of nearly 70% of the protected items. In this paper [an extension to our work reported in AlShuhail and Shao (Semantic attack on disassociated transactions. In: Proceedings of the 8th International Conference on information systems security and privacy-ICISSP, INSTICC. SciTePress, pp. 60–72, 2022)], we develop additional techniques to reconstruct transactions, with additional experiments to illustrate the impact of our attacking method.
COVID-19: Physical Activity, Government Restrictions, and Mental Health in the UK and Italy
Authors: Sansone-Pollock Mikaela , Mutrie Nanette , Guerra Cristóbal , Sechi Cristina , Mula Silvana , Calia Clara 
Published: April 2023

AbstractCOVID-19 restrictions could potentially induce poor mental health. This study considers opposing government restrictions on outdoor physical activity in Italy and the UK to evaluate participants’ ability to conduct physical activity, the relationship between physical activity and mental health, and whether restrictions affect mental health as mediated by physical activity. Participants from the UK and Italy self-reported physical activity before and during restrictions, sociodemographic data, and symptoms of depressions, stress, and anxiety during restrictions. Changes in physical activity were analyzed by tests of differences, and relationships between mental health, physical activity, and the effect of country restrictions were evaluated through path analysis. Two hundred sixty-four participants (UK: 57%; Italy: 43%) responded. The model (χ2(2) = .429, p > .05; RMSEA < .08; CFI > .90) confirmed the country’s effect on physical activity. Participants from Italy significantly decreased physical activity while the least active individuals in the UK increased activity during restrictions. Decreases in physical activity had a significant effect on increased reports of stress and depression. Physical activity did not mediate mental health within the countries. Future policies may consider ways to support individuals in maintaining physical activity habits to minimize the possibility of worsening mental health.
Science is more than knowing
Authors: Shan Yafeng 
Published: April 2023

AbstractBird’s new book, Knowing Science, provides an exemplar of how to do epistemology and philosophy of science together. While I wholeheartedly appreciate his attempt to bridge the gap between epistemology and philosophy of science and find his project promising, I am not convinced by the central thesis of the book that knowledge plays a central role in science. In this article, I focus on Bird’s epistemic account of scientific progress, which is the view that the nature of scientific progress is the accumulation of scientific knowledge. Contra Bird, I argue that scientific progress cannot be fully characterised as the accumulation of scientific knowledge.
Painting in Renaissance Perugia
Authors: Shaneyfelt Sheri Francis 
Published: April 2023

This volume offers the first comprehensive study of painting in Renaissance Perugia from the late fifteenth to the mid- sixteenth centuries. Showcasing works by Perugino, Raphael, and Pintoricchio, as well as less familiar artists who worked in Perugia from ca. 1480–1540, Sheri Shaneyfelt traces the influence and impact of Perugino's workshop in central Italy over more than a half a century. She demonstrates why Perugia, which has been overlooked in modern scholarship, was such a vital center for the production of early modern Italian art. Shaneyfelt's study also shifts the focus away from the analysis of individual artistic creativity by highlighting the importance and significance of collaboration and workshop production in Renaissance Italy. Interweaving historical and archival evidence with analyses of numerous paintings and drawings, her book, richly illustrated with 115 color illustrations, offers many new insights into the vibrant artistic culture of early modern Perugia.
Behavioural public policies for the social brain
Authors: Banerjee Sanchayan , Mitra Siddhartha 
Published: April 2023

Abstract
Behavioural public policy is increasingly interested in scaling-up experimental insights to deliver systemic changes. Recent evidence shows some forms of individual behaviour change, such as nudging, are limited in scale. We argue that we can scale-up individual behaviour change by accounting for nuanced social complexities in which human responses to behavioural public policies are situated. We introduce the idea of the ‘social brain’, as a construct to help practitioners and policymakers facilitate a greater social transmission of welfare-improving behaviours. The social brain is a collection of individual human brains, who are connected to other human brains through ‘social cues’, and who are affected by the material and immaterial properties of the physical environment in which they are situated (‘social complex’). Ignoring these cues and the social complex runs the risk of fostering localised behavioural changes, through individual actors, which are neither scalable nor lasting. We identify pathways to facilitate changes in the social brain: either through path dependencies or critical mass shifts in individual behaviours, moderated by the brain's property of social cohesion and multiplicity of situational and dispositional factors. In this way, behavioural changes stimulated in one part of the social brain can reach other parts and evolve dynamically. We recommend designing public policies that engage different parts of the social brain.