bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multiscale computational model of arterial growth and remodeling including Notch signaling
Authors: van Asten Jordy G. M. , Latorre Marcos , Karakaya Cansu , Baaijens Frank P. T. , Sahlgren Cecilia M. , Ristori Tommaso , Humphrey Jay D. , Loerakker Sandra 
Published: April 2023

AbstractBlood vessels grow and remodel in response to mechanical stimuli. Many computational models capture this process phenomenologically, by assuming stress homeostasis, but this approach cannot unravel the underlying cellular mechanisms. Mechano-sensitive Notch signaling is well-known to be key in vascular development and homeostasis. Here, we present a multiscale framework coupling a constrained mixture model, capturing the mechanics and turnover of arterial constituents, to a cell–cell signaling model, describing Notch signaling dynamics among vascular smooth muscle cells (SMCs) as influenced by mechanical stimuli. Tissue turnover was regulated by both Notch activity, informed by in vitro data, and a phenomenological contribution, accounting for mechanisms other than Notch. This novel framework predicted changes in wall thickness and arterial composition in response to hypertension similar to previous in vivo data. The simulations suggested that Notch contributes to arterial growth in hypertension mainly by promoting SMC proliferation, while other mechanisms are needed to fully capture remodeling. The results also indicated that interventions to Notch, such as external Jagged ligands, can alter both the geometry and composition of hypertensive vessels, especially in the short term. Overall, our model enables a deeper analysis of the role of Notch and Notch interventions in arterial growth and remodeling and could be adopted to investigate therapeutic strategies and optimize vascular regeneration protocols.
Habitat preferences and similarities of Grey Partridges and Common Pheasants in agricultural landscapes under organic and conventional farming
Authors: Schöll Eva Maria , Eschberger-Friedl Armin , Schai-Braun Stéphanie , Frey-Roos Alfred 
Published: April 2023

AbstractAgricultural landscapes had been inhabited by a vast number of bird species in the past; however, especially in the last decades, agricultural intensification had negatively affected habitat composition. Habitat heterogeneity decreased and the number of many species inhabiting farmland has severely declined. These landscapes still offer a home for species, but with decreasing environmental variability, less suitable habitat might be available and interspecific competition might have been altered. Agricultural fields under organic farming are often assumed to provide adequate habitats for farmland birds, thus competition for these areas might be high and affect species’ habitat selection. We compared habitat selection of two typical farmland bird species, Grey Partridges (Perdix perdix) and Common Pheasants (Phasianus colchicus), to determine the extent of habitat overlap in agricultural landscapes under organic and conventional farming in spring. Our study showed that both species preferred study squares with high habitat heterogeneity. In addition, squares with agricultural fields (e.g. without culture, winter cereals and fallow land) under organic farming were preferred by Grey Partridges, while Common Pheasants were mainly found on study squares containing agricultural fields under conventional farming. A broad habitat width in respect to food selection might have driven habitat choice of Common Pheasants; however, occupation of agricultural fields under organic farming by Grey Partridge males might also explain habitat selection of Common Pheasants. Awareness should be raised when releasing captive-rearing pheasants because interspecific competition between Grey Partridges and Common Pheasants could also affect fecundity and survival of both species.
Wie beeinflusst der Klimawandel unsere Gesellschaft und damit unsere Gesundheit?
Authors: Swiers Joost , Brimicombe Chloe R. , Wieser Katharina , Otto Ilona M. 
Published: April 2023

ZusammenfassungDer Klimawandel hat negative Auswirkungen auf unser Leben, die Gesellschaft und unsere Gesundheit, wobei die Schwächsten unter uns unverhältnismäßig stark betroffen sind. In diesem Beitrag werden die Auswirkungen des Klimawandels mit Fokus auf die Lungengesundheit untersucht. Die Ergebnisse zeigen, dass es 4 Hauptauswirkungen gibt: Luftverschmutzung, Aeroallergene (Pollen und Schimmelpilze), extreme Hitze und Kälte und Extremwetterereignisse, wie z. B. Überschwemmungen. Diese werden jedes Jahr schlimmer und betreffen außerdem eine immer größere Gruppe an Menschen. Zweitens werden Beispiele für Fälle von bestehender und zunehmender sozialer und gesundheitlicher Ungleichheit und Ungerechtigkeit im Zusammenhang mit dem Klimawandel und seinen Folgen erläutert mit einem Fokus auf die Lungengesundheit. Drittens geben wir einen Überblick über transformative Veränderungen und soziale Gerechtigkeit, um Wege zur Lösung der Klimakrise aufzuzeigen.
Great ape enculturation studies: a neglected resource in cognitive development research
Authors: Berio Leda , Moore Richard 
Published: April 2023

AbstractDisagreement remains about whether particular human socio-cognitive traits arose primarily as a result of biological adaptations, or because of changing cultural practices. Heyes argues that uniquely human traits, including imitation and theory of mind, are the product of cultural learning. In contrast, Tomasello argues that they are, in key respects, part of a suite of adaptations for ‘shared intentionality’. We consider how such disagreements might be resolved. We show that the kinds of consideration often used to adjudicate questions about trait origins are insufficient to settle origin questions. Furthermore, humankind’s immersion in culture undermines the prospect that cross-cultural and developmental studies could resolve origin questions. Nonetheless we argue that, when cautiously interpreted, currently neglected studies of enculturated great apes (i.e. apes raised in human environments) can shed new light on trait origins, and inform mechanistic accounts of cognitive development. While acknowledging the shortcomings of enculturation research, we argue that it deserves renewed attention.
Combination of immune-checkpoint inhibitors and targeted therapies for melanoma therapy: The more, the better?
Authors: Haist Maximilian , Stege Henner , Kuske Michael , Bauer Julia , Klumpp Annika , Grabbe Stephan , Bros Matthias 
Published: April 2023

AbstractThe approval of immune-checkpoint inhibitors (CPI) and mitogen activated protein kinase inhibitors (MAPKi) in recent years significantly improved the treatment management and survival of patients with advanced malignant melanoma. CPI aim to counter-act receptor-mediated inhibitory effects of tumor cells and immunomodulatory cell types on effector T cells, whereas MAPKi are intended to inhibit tumor cell survival. In agreement with these complementary modes of action preclinical data indicated that the combined application of CPI and MAPKi or their optimal sequencing might provide additional clinical benefit. In this review the rationale and preclinical evidence that support the combined application of MAPKi and CPI either in concurrent or consecutive regimens are presented. Further, we will discuss the results from clinical trials investigating the sequential or combined application of MAPKi and CPI for advanced melanoma patients and their implications for clinical practice. Finally, we outline mechanisms of MAPKi and CPI cross-resistance which limit the efficacy of currently available treatments, as well as combination regimens.
Preschool Behavioral Problems: Links with Maternal Oxytocin and Caregiving Sensitivity in the Postnatal Period, and Concurrent Maternal Psychopathology and Attachment State-of-Mind
Authors: Kohlhoff Jane , Karlov Lisa , Dadds Mark , Barnett Bryanne , Silove Derrick , Mendoza Diaz Antonio , Eapen Valsamma 
Published: April 2023

AbstractThis study investigated maternal oxytocin, caregiving sensitivity and mother-to-infant bonding at 3-months postpartum as predictors of child behavior and psychological outcomes in the preschool years, when controlling for concurrent maternal negative emotional symptoms and adult attachment state-of-mind. Forty-five mother–child dyads were assessed at 3-months and 3.5 years postpartum using mix of questionnaires, observational, interview and biological methods. Results showed that lower levels of maternal baseline oxytocin at 3-months postpartum significantly predicted emotional reactivity in the child at 3.5 years. When maternal adult attachment state-of-mind and negative emotional symptoms were included, lower levels of maternal baseline oxytocin at 3-months postpartum significantly predicted withdrawn child behavior. In addition, unresolved adult attachment and maternal negative emotional symptoms were significantly associated child behavioral disturbance in a range of areas. Findings highlight maternal postnatal oxytocin as a potential indicator of children who may be more likely to show emotional reactivity and withdrawn behavior in the preschool years.
First-Order Theory of Rewriting for Linear Variable-Separated Rewrite Systems: Automation, Formalization, Certification
Authors: Middeldorp Aart , Lochmann Alexander , Mitterwallner Fabian 
Published: April 2023

AbstractThe first-order theory of rewriting is decidable for linear variable-separated rewrite systems. We present a new decision procedure which is the basis of , a decision and synthesis tool for properties expressible in the theory. The decision procedure is based on tree automata techniques and verified in Isabelle. Several extensions make the theory more expressive and more versatile. We present a certificate language that enables the output of to be certified by the certifier generated from the formalization, and we provide extensive experiments.
The Dreamwork of the Symptom: Reading Structural Racism and Family History in a Drug Addiction
Authors: Proudfoot Jesse 
Published: April 2023

AbstractA key tenet of critical health research is that individual symptoms must be considered in light of the social and political contexts that shape or, in some cases, produce them. Precisely how oppressive social forces give rise to individual symptoms, however, remains challenging to theorize. This article contributes to debates over the interpretation of symptoms through a close reading of the case of Leon, an African American man struggling with an addiction to crack cocaine. Leon presented a complex illness narrative in which his addiction was clearly a product of structural racism, but also the result of dynamics within his family. Drawing on critical reevaluations of Freud’s concept of the dreamwork, I call attention to the surface elements of Leon’s narrative—what I term the surface of the symptom—and to the formal mechanisms by which latent contents (such as the social, the political, and the personal) are transformed into the manifest form of his symptom. This formal mode of reading offers a productive way of approaching questions of demystification and interpretation, one that holds in tension the register of social causation with the singularities of individuals and their symptoms.
Thermal and wind devices for multisensory human-computer interaction: an overview
Authors: da Silveira Aleph Campos , Rodrigues Eduardo C. , Saleme Estevao B. , Covaci Alexandra , Ghinea Gheorghita , Santos Celso A. S. 
Published: April 2023

AbstractIn order to create immersive experiences in virtual worlds, we need to explore different human senses (sight, hearing, smell, taste, and touch). Many different devices have been developed by both industry and academia towards this aim. In this paper, we focus our attention on the researched area of thermal and wind devices to deliver the sensations of heat and cold against people’s skin and their application to human-computer interaction (HCI). First, we present a review of devices and their features that were identified as relevant. Then, we highlight the users’ experience with thermal and wind devices, highlighting limitations either found or inferred by the authors and studies selected for this survey. Accordingly, from the current literature, we can infer that, in wind and temperature-based haptic systems (i) users experience wind effects produced by fans that move air molecules at room temperature, and (ii) there is no integration of thermal components to devices intended for the production of both cold or hot airflows. Subsequently, an analysis of why thermal wind devices have not been devised yet is undertaken, highlighting the challenges of creating such devices.
Risk assessment and management of vulnerable areas to flash flood hazards in arid regions using remote sensing and GIS-based knowledge-driven techniques
Authors: Abdelkareem Mohamed , Mansour Abbas M. 
Published: April 2023

AbstractEarth Observation from space has allowed characterizing, detecting, and managing natural hazards in spatiotemporal scale. Flash flood is the most frequent natural disaster that causes destruction to human lives, the economy, and infrastructure. Thus, developing a flash flood hazard zone (FFHZ) map is significant for comprehensive flash flood risk assessment and management to minimize its harmful effects, particularly in residential areas, because of climate change. Therefore, in this article, ten parameters derived from satellite images, including lithology, slope, topographic wetness index (TWI), Stream Power Index (SPI), Stream Transport Index (STI), Terrain Roughness Index (TRI), drainage density (Dd), distance to river, radar intensity map, and rainfall distribution map, were fused to predict the flood-vulnerable areas through GIS-based overlay analysis after normalization and assigning weight by applying Analytical Hierarchy Analysis (AHP). The findings allowed for the identification of the most vulnerable areas and provided an explanation for the flood's effects on New Qena City (NQC). The output FFHZs of the Wadi Qena Basin (WQB) were divided into six hazard zones, i.e., extreme hazard (6.86%), very strong (15.04%), strong (18.74%), moderate (22.58%), low (22.80%), and very low (13.98%) susceptibility. Furthermore, approximately 35% of the under-construction NQC is subject to the extreme to very serious hazards, as opposed to the extension area to NQC east of the Qena-Safaga Road. Interferometry Synthetic Aperture Radar (InSAR) change detection coherence (CCD) and spatiotemporal analysis of Landsat and Sentinel-2 data revealed steady changes in vegetation and infrastructure from 1984 to present. Based on GIS analyses about 10, and 14% of the NQC can be inundated if the flood extends 500, and 1000 m around the flood canal, respectively. Thus, several strategies were advised to safeguard the development projects, particularly the residential sections of the under construction NQC, including erecting four dams with a total capacity of 300 million m3, reinforce the dam at Wadi Shahadein, constructing concrete chevron bunds along the flood zone, and extending the depths of the flooding canal.
A Novel Geometry Optimization Approach for Multi-Recess Hydrostatic Bearing Pad Operating in Static and low-Speed Conditions Using CFD Simulation
Authors: Michalec Michal , Ondra Martin , Svoboda Martin , Chmelík Jiří , Zeman Petr , Svoboda Petr , Jackson Robert L. 
Published: April 2023

AbstractThe design of a hydrostatic bearing pad is limited to simple geometry using analytical equations or one-parameter optimization based on experimental data. This study proposes and investigates a new two-parameter method for estimating optimal hydrostatic bearing pad proportions—recess area and position, using Computational Fluid Dynamics (CFD). In this study, 3D static CFD quarter model of a multi-recess hydrostatic bearing pad assuming laminar flow is used. The CFD model was calibrated based on experimentally obtained results and the literature. The recess pressure and resulting load are evaluated for a variety of recess positions and areas. Performance factors are calculated and interpolated in the MATLAB environment. Using the proposed novel two-parameter optimization, the energetic loss was reduced by 20% compared to the classical one-parameter approach. This methodology allows versatile and effective design of optimal hydrostatic bearings operating in low-speed conditions to achieve minimum energetic loss.
Reuse of vegetable wastes in animal feed: the influence of red beet powder supplementation on performance, egg quality, and antioxidant capacity of layer quails
Authors: Sarmiento-García Ainhoa , Olgun Osman , Kilinç Gözde , Sevim Behlül , Gökmen Seyit Ahmet 
Published: April 2023

AbstractThe survey was carried out to establish the impact of red beet powder (RBP) on performance parameters and egg quality in laying quails. One twenty hundred (120) female laying quails aged 22 weeks were randomly assigned into five groups of 4 females each, and six replicates. Treatments diets were formed by adding 0, 0.2, 0.4, 0.6, and 0.8% RBP to the basal diet. The dietary inclusion of RBP did not affect performance parameters and egg production (P > 0.05) except feed conversion ratio, which was quadratically affected (P < 0.05). The feed conversion ratio was improved in the 0.4% group with concerning control. The inclusion of RBP did not modify the yolk color (L*, a*, b*) or egg quality (P > 0.05). However, the yolk index showed the highest value (P < 0.05) in quails fed 0.2% RBP. Free radical scavenging capacity (DPPH) of the yolk decreased (P < 0.05) when RBP levels increased above 0.6%. In contrast, the 0.6% RBP group had the highest level of thiobarbituric acid reactive substances (TBARS). Data from the present study provide valuable information to include RBP as an ingredient without affecting performance and egg production. It is an interesting option within the framework of the circular economy and of reusing vegetable products to use this ingredient in animal feed.
Influence of Land Surface Temperature and Rainfall on Surface Water Change: An Innovative Machine Learning Approach
Authors: Jain Vanita , Dhingra Aarushi , Gupta Eeshita , Takkar Ish , Jain Rachna , Islam Sardar M. N. 
Published: April 2023

AbstractThe largest reservoir of drinkable water on Earth is surface water. It is crucial for maintaining ecosystems and enabling people to adapt to diverse climate changes. Despite surface freshwater is essential for life, the current research shows a striking lack of understanding in its spatial and temporal dynamics of variations in outflow and storage across a sizable country: India. Numerous restrictions apply to current research, including the use of insufficient machine learning techniques and limited data series. This work uses cutting-edge and SOTA-method to use the available data and machine learning to accurately understand spatial and temporal dynamics of variations in surface freshwater outflow and storage using extended data series. The authors did the examination of thematic maps produced using ArcMap 10.8 from June’2005 to June’2020 using JRC dataset to track changes in the intensity of surface water. Google Earth Engine in Python API has been devised to detect changes in surface water levels and quantifying shifting map trends. Raster image viewing, editing, and calculation are done with ArcMap. For determining the relationship between declines in Surface water levels, changes in rainfall intensity and land surface temperature, variables were averaged over 13 rivers for 15 years. The change in surface water is reliant on independent variables of change in land surface temperature and rainfall intensity. The authors use the correlation between these parameters to achieve an average R-squared adjusted value of 0.402. The study's findings contribute to a better understanding of the matter and can be used across the world.
Whither compassionate leadership? A systematic review
Authors: Ramachandran Sunder , Balasubramanian Sreejith , James Wayne Fabian , Al Masaeid Turki 
Published: April 2023

AbstractRecent disastrous events, such as the COVID-19 pandemic, has amplified the appeal for compassionate leadership in organizations and is viewed as the need of the hour. While compassion is a timeless concept, there appears to be a lack of clarity around the idea of compassionate leadership, and the current understanding appears limited, fragmented, and scattered across the literature. This integrative systematic review of 41 articles during the last 20 years (2002–2021) conceptualizes six critical dimensions of compassionate leadership, namely: empathy; openness and communication; physical, mental health and well-being; inclusiveness; integrity; respect and dignity. These findings enhance our understanding of how organizational leaders can effectively incorporate the dimensions to become compassionate leaders. The review examines how compassionate leadership is defined and understood in the literature, and a contribution in the form of a definition for compassionate leadership is offered. Finally, gaps in the literature are highlighted, offering avenues for future research, along with implications for research, theory, and practice.
How can the floor area types of a university campus mitigate the increase of urban air temperature?
Authors: Ponti Stefano , Guglielmin Mauro 
Published: April 2023

AbstractThe urban heat island (UHI) under the current climate change scenario could have a major impact on the lives of urban residents. The presence of green areas undoubtedly mitigates the UHI, and modifies some selected anthropized surfaces with particular characteristics (e.g., albedo). Here, we use a university campus as a good template of the urban context to analyze the mitigation effect of different surface types on the air temperature warming. This study provides some of the best practices for the future management of land surface types in urban areas. Through the development of a simple air temperature mitigation index (ATMI) that uses the temperature, water content (WC), and albedo of the investigated surface types, we find the green and anthropized surfaces according to their areal distribution and mitigation effects. The findings address the importance of poorly managed green areas (few annual mowings) and anthropized materials that permit a good balance between water retention capacity and high albedo. In the case of impervious surfaces, priority should be given to light-colored materials with reduced pavement units (blocks or slabs) to reduce the UHI.
Autopolyploidy, Allopolyploidy, and Phylogenetic Networks with Horizontal Arcs
Authors: Huber K. T. , Maher L. J. 
Published: April 2023

AbstractPolyploidization is an evolutionary process by which a species acquires multiple copies of its complete set of chromosomes. The reticulate nature of the signal left behind by it means that phylogenetic networks offer themselves as a framework to reconstruct the evolutionary past of species affected by it. The main strategy for doing this is to first construct a so-called multiple-labelled tree and to then somehow derive such a network from it. The following question therefore arises: How much can be said about that past if such a tree is not readily available? By viewing a polyploid dataset as a certain vector which we call a ploidy (level) profile, we show that among other results, there always exists a phylogenetic network in the form of a beaded phylogenetic tree with additional arcs that realizes a given ploidy profile. Intriguingly, the two end vertices of almost all of these additional arcs can be interpreted as having co-existed in time thereby adding biological realism to our network, a feature that is, in general, not enjoyed by phylogenetic networks. In addition, we show that our network may be viewed as a generator of ploidy profile space, a novel concept similar to phylogenetic tree space that we introduce to be able to compare phylogenetic networks that realize one and the same ploidy profile. We illustrate our findings in terms of a publicly available Viola dataset.