bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrogeological characteristics of waterlogged areas in Natore District, Bangladesh
Authors: Hassan Md Mahmudul , Jahan Chowdhury S. , Cheong Jae-Yeol , Hamm Se-Yeong 
Published: March 2023

AbstractWaterlogging (WL) refers to the process by which water flow is resisted in vertical and horizontal directions and thus water stagnates for a short or long span of time; it is induced by a combination of human and natural factors. In the southwestern region of Bangladesh, including Natore District, WL is a significant issue that needs to be addressed if agricultural activity is to be successful. This study aimed to identify surface WL in Natore District and to characterise the WL scenario in the study area in terms of hydrogeology. Waterlogged areas were identified with a geographic information system using satellite images corresponding to the premonsoon and postmonsoon periods. Using groundwater level data (1990–2017), the pre- and postmonsoon scenarios of the waterlogged areas were indicated by seasonal and perennial types of WL. Groundwater recharge scenarios were classified as long and short lag times. Most of the study area was characterised by thick clay or silty clay surficial layers with low water penetration rates, resulting from low porosity and low hydraulic conductivity. The cross-correlation between rainfall and groundwater level revealed the response of groundwater to rainfall, with a lag time of 1–5 months. Long lag time areas exhibited slow groundwater recharge and significant groundwater level fluctuation, with lower hydraulic conductivity values of 49.37–76.24 m/day. In contrast, short lag time areas displayed rapid groundwater recharge and small groundwater fluctuation due to a good proportional relationship with rainfall and higher hydraulic conductivity values of 74.74–117.79 m/day.
Visual perception of emotion cues in dogs: a critical review of methodologies
Authors: Correia-Caeiro Catia , Guo Kun , Mills Daniel S. 
Published: March 2023

AbstractComparative studies of human–dog cognition have grown exponentially since the 2000’s, but the focus on how dogs look at us (as well as other dogs) as social partners is a more recent phenomenon despite its importance to human–dog interactions. Here, we briefly summarise the current state of research in visual perception of emotion cues in dogs and why this area is important; we then critically review its most commonly used methods, by discussing conceptual and methodological challenges and associated limitations in depth; finally, we suggest some possible solutions and recommend best practice for future research. Typically, most studies in this field have concentrated on facial emotional cues, with full body information rarely considered. There are many challenges in the way studies are conceptually designed (e.g., use of non-naturalistic stimuli) and the way researchers incorporate biases (e.g., anthropomorphism) into experimental designs, which may lead to problematic conclusions. However, technological and scientific advances offer the opportunity to gather much more valid, objective, and systematic data in this rapidly expanding field of study. Solving conceptual and methodological challenges in the field of emotion perception research in dogs will not only be beneficial in improving research in dog–human interactions, but also within the comparative psychology area, in which dogs are an important model species to study evolutionary processes.
A gradient sampling algorithm for stratified maps with applications to topological data analysis
Authors: Leygonie Jacob , Carrière Mathieu , Lacombe Théo , Oudot Steve 
Published: March 2023

AbstractWe introduce a novel gradient descent algorithm refining the well-known Gradient Sampling algorithm on the class of stratifiably smooth objective functions, which are defined as locally Lipschitz functions that are smooth on some regular pieces—called the strata—of the ambient Euclidean space. On this class of functions, our algorithm achieves a sub-linear convergence rate. We then apply our method to objective functions based on the (extended) persistent homology map computed over lower-star filters, which is a central tool of Topological Data Analysis. For this, we propose an efficient exploration of the corresponding stratification by using the Cayley graph of the permutation group. Finally, we provide benchmarks and novel topological optimization problems that demonstrate the utility and applicability of our framework.
Geometry of tree-based tensor formats in tensor Banach spaces
Authors: Falcó Antonio , Hackbusch Wolfgang , Nouy Anthony 
Published: March 2023

AbstractIn the paper ‘On the Dirac–Frenkel Variational Principle on Tensor Banach Spaces’, we provided a geometrical description of manifolds of tensors in Tucker format with fixed multilinear (or Tucker) rank in tensor Banach spaces, that allowed to extend the Dirac–Frenkel variational principle in the framework of topological tensor spaces. The purpose of this note is to extend these results to more general tensor formats. More precisely, we provide a new geometrical description of manifolds of tensors in tree-based (or hierarchical) format, also known as tree tensor networks, which are intersections of manifolds of tensors in Tucker format associated with different partitions of the set of dimensions. The proposed geometrical description of tensors in tree-based format is compatible with the one of manifolds of tensors in Tucker format.
Gamifying model-based engineering: the PapyGame experience
Authors: Bucchiarone Antonio , Savary-Leblanc Maxime , Le Pallec Xavier , Cicchetti Antonio , Gérard Sébastien , Bassanelli Simone , Gini Federica , Marconi Annapaola 
Published: March 2023

AbstractModeling is an essential and challenging activity in any engineering environment. It implies some hard-to-train skills such as abstraction and communication. Teachers, project leaders, and tool vendors have a hard time teaching or training their students, co-workers, or users. Gamification refers to the exploitation of gaming mechanisms for serious purposes, like promoting behavioral changes, soliciting participation and engagement in activities, etc. We investigate the introduction of gaming mechanisms in modeling tasks with the primary goal of supporting learning/training. The result has been the realization of a gamified modeling environment named PapyGame. In this article, we present the approach adopted for PapyGame implementation, the details on the gamification elements involved, and the derived conceptual architecture required for applying gamification in any modeling environment. Moreover, to demonstrate the benefits of using PapyGame for learning/training modeling, a set of user experience evaluations have been conducted. Correspondingly, we report the obtained results together with a set of future challenges we consider as critical to make gamified modeling a more effective education/training approach.
Natural disasters and perinatal mental health: what are the impacts on perinatal women and the service system?
Authors: Hine Rochelle Helena , Mitchell Eleanor , Whitehead-Annett Lara , Duncan Zoe , McArdle Adelle 
Published: March 2023

Abstract
Aim
The perinatal period is characterised by radical change across multiple domains. When it coincides with natural disasters, women and families need targeted support to mitigate the impacts on their birthing and early parenting experiences. Disaster planning in Australia has paid scant attention to the needs of this group. This study aimed to explore rural maternal and child health nurses’ perceptions of how women receiving postnatal care during times of disaster manage mental health and wellbeing issues.

Subject and methods
Eight female maternal and child health nurses (MCHNs) were recruited through purposive sampling across two rural regions of Victoria, Australia. A qualitative design using an online survey followed by in-depth interviews, was underpinned by intersectional feminist theory. Thematic analysis was applied to qualitative data.

Results
Three overarching themes: context of practice, impact of disasters on mothers, and impact of disasters on services were identified. Isolation for mothers was highlighted, necessitating increased provision of emotional support, at a time when service providers themselves were under strain.

Conclusion
Natural disasters exacerbate stressors on perinatal rural women and can impede their access to formal and informal supports, jeopardizing mental health outcomes. Targeted investment in rural perinatal services to enable proactive planning and implementation of disaster strategies is urgently needed to reduce the impact of natural disasters on rural perinatal women and their families.
Direct and indirect effects of agricultural land cover on avian biodiversity in eastern Canada
Authors: Rabbetts Michelle , Fahrig Lenore , Mitchell Greg W. , Hannah Kevin C. , Collins Sara J. , Wilson Scott 
Published: March 2023

AbstractAgriculture is one of the largest threats to global biodiversity. However, most studies have focused only on the direct effects of agriculture on biodiversity, and few have addressed the indirect effects, potentially over or under-estimating the overall impacts of agriculture on biodiversity. The indirect effect is the response not to the agricultural cover types or operations per se, but instead, to the way that agriculture influences the extent and configuration of different types of natural land cover in the landscape. We used structural equation modelling (SEM) to evaluate the direct, indirect, and total effects of agriculture on species richness of three bird guilds: forest birds, shrub-edge birds, and open country birds. We found that forest bird richness was driven by the negative indirect effect of cropland via forest loss. Shrub-edge and open country bird richness increased with the amount of agriculture land covers; however, importantly, we found negative indirect effects of agriculture on both guilds via a reduction in more natural land covers. This latter result highlights how we would have over-estimated the positive effects of agriculture on shrub-edge and open country bird richness had we not measured both direct and indirect effects (i.e., the total effect size is less than the direct effect size). Overall, our results suggest that a bird-friendly agricultural landscape in our region would have forest that is configured to maximize forest edge, and a high proportion of perennial forage within the agricultural portion of the landscape.
Conservation management in the context of unidentified and unmitigated threatening processes
Authors: Stojanovic Dejan , Hogg Carolyn J. , Alves Fernanda , Baker G. Barry , Biggs James R. , Bussolini Laura , Carey Mark J. , Crates Ross , Magrath Michael J. L. , Pritchard Rachel , Troy Shannon , Young Catherine M. , Heinsohn Robert 
Published: March 2023

AbstractThe decision to intervene in endangered species management is often complicated. Migratory species exemplify this difficulty because they experience diverse threats at different times and places that can act cumulatively and synergistically on their populations. We use population viability analysis (PVA) to compare potential conservation interventions on the critically endangered, migratory Orange-bellied ParrotNeophema chrysogaster. This species suffers high juvenile mortality, but it is not clear why this is so. Given uncertainty about the best recovery strategy, we compare PVA scenarios that simulate various ways of utilizing captive-bred parrots to support the wild population in the context of unresolved threatening processes. Increasing the number of juveniles entering the population each year had the greatest benefit for population growth rate and size. Directly lowering juvenile mortality rates is difficult given uncertainty about the drivers of mortality in the wild. In lieu of this, releasing 100 juveniles from captivity to the wild population each autumn (either as a stand-alone action, or in combination with other interventions) was the most feasible and straightforward intervention of the options we tested. However, our PVAs also show that unless substantial and sustainable reductions can be made to juvenile mortality rates, Orange-bellied Parrots will remain dependent on intensive conservation management. This study highlights the utility of PVAs for answering practical questions about how to implement species conservation. PVAs provide a way to incorporate the best available information in a replicable modelling framework, and to identify impacts of parameter uncertainty on demographic trends.
The impact of upright posture on left ventricular deformation in athletes
Authors: Kandels J. , Metze M. , Hagendorff A. , Marshall R. P. , Hepp P. , Laufs U. , Stöbe S. 
Published: March 2023

AbstractBesides LV ejection fraction (LVEF), global longitudinal strain (GLS) and global myocardial work index (GWI) are increasingly important for the echocardiographic assessment of left ventricular (LV) function in athletes. Since exercise testing is frequently performed on a treadmill, we investigated the impact of upright posture on GLS and GWI. In 50 male athletes (mean age 25.7 ± 7.3 years) transthoracic echocardiography (TTE) and simultaneous blood pressure measurements were performed in upright and left lateral position. LVEF (59.7 ± 5.3% vs. 61.1 ± 5.5%; P = 0.197) was not affected by athletes’ position, whereas GLS (− 11.9 ± 2.3% vs. − 18.1 ± 2.1%; P < 0.001) and GWI (1284 ± 283 mmHg% vs. 1882 ± 247 mmHg%; P < 0.001) were lower in upright posture. Longitudinal strain was most frequently reduced in upright posture in the mid-basal inferior, and/or posterolateral segments. Upright posture has a significant impact on LV deformation with lower GLS, GWI and regional LV strain in upright position. These findings need to be considered when performing echocardiography in athletes.

Graphical Abstract
Evaluating chelating agents and their effects on cellulosic pulps during P-stage bleaching. Part 1: analytical method development
Authors: Goto Takaaki , Zaccaron Sara , Hettegger Hubert , Bischof Robert H. , Fackler Karin , Potthast Antje , Rosenau Thomas 
Published: March 2023

AbstractDuring peroxide bleaching of pulp (“P-stage”), the heavy metal ions must be removed from the pulp and inactivated by chelation before the bleaching to prevent undesired degradation of cellulose by reactive oxygen species. Ethylenediaminetetraacetic acid (EDTA) is mostly used as a chelating agent; however, it may soon be banned because of environmental concerns. Therefore, there is a demand for new chelating agents to replace EDTA, and a comprehensive analytical method is necessary to investigate their chelating ability and the effects on the pulp. In this study, an analytical sequence for evaluating chelating agents and oxidative damage to cellulose during chelation (Q-stage) and bleaching (P-stage) has been established and optimized. GPC provides the molar mass distribution and oxidative damage (as profiles of carbonyl groups relative to the molar mass distribution), and the metal content of the pulp was determined by ICP-OES. This method enables the analysis of the chelating potential of new chelating agents, with simultaneous determination of the impact on cellulose on a molecular level.Graphical abstract
Knitting for conservation: a social practice perspective on a social and behaviour change communication intervention
Authors: Gallegos Maria Cristina , Buizer Marleen , Hobbis Stephanie Ketterer , Wise Graham 
Published: March 2023

AbstractWe critically reflect on a conservation project in the Ecuadorian Amazon that was designed to promote biodiversity conservation among lowland indigenous communities involved in eco-tourism initiatives by teaching them how to knit a particular set of local animals. We use interpretive qualitative research and draw on social practice theory to examine the ways that participants’ engagement with new knitting in participatory knitting workshops changed the understanding of environmental conservation and social entrepreneurship within an eco-tourism context. Eventually, the intervention pushed participants to adopt new and difficult-to-sustain conservation and entrepreneurial practices. The introduction of these new practices and a focus on a specific list of local species turned animals into commodities and created unsustainable connections with new materials and a disconnect between local and traditional know-how.
A Sensitivity Study of a Thermal Propagation Model in an Automotive Battery Module
Authors: Huang Chen , Bisschop Roeland , Anderson Johan 
Published: March 2023

AbstractThermal runaway is a major concern for lithium-ion batteries in electric vehicles. A manufacturing fault or unusual operating conditions may lead to this event. Starting from a single battery cell, more cells may be triggered into thermal runaway, and the battery pack may be destroyed. To prevent this from happening, safety solutions need to be evaluated. Physical testing is an effective, yet costly, method to assessing battery safety performance. As such, the potential of a numerical tool, which can cut costs and reduce product development times, is investigated in terms of capturing a battery module’s tolerance to a single cell failure. A 3D-FE model of a battery module was built, using a commercial software, to study thermal runaway propagation. The model assumes that when the cell jelly roll reaches a critical value, thermal runaway occurs. This approach was considered to study the module’s tolerance to a single cell failure, which was in reasonable agreement with what had been observed in full-scale experiments. In addition, quantitative sensitivity study on the i) model input parameters, ii) model space, and iii) time resolutions on the computed start time instant and time duration of thermal runaway were performed. The critical temperature was found to have the greatest influence on thermal runaway propagation. The specific heat capacity of jelly roll was found to significantly impact the thermal runaway time duration. The multi-physics model for battery thermal propagation is promising and worth to be applied with care for designing safer batteries in combination with physical testing.
A comprehensive regulatory and industry review of modeling and simulation practices in oncology clinical drug development
Authors: Ruiz-Garcia Ana , Baverel Paul , Bottino Dean , Dolton Michael , Feng Yan , González-García Ignacio , Kim Jaeyeon , Robey Seth , Singh Indrajeet , Turner David , Wu Shu-Pei , Yin Donghua , Zhou Di , Zhu Hao , Bonate Peter 
Published: March 2023

AbstractExposure–response (E–R) analyses are an integral component in the development of oncology products. Characterizing the relationship between drug exposure metrics and response allows the sponsor to use modeling and simulation to address both internal and external drug development questions (e.g., optimal dose, frequency of administration, dose adjustments for special populations). This white paper is the output of an industry-government collaboration among scientists with broad experience in E–R modeling as part of regulatory submissions. The goal of this white paper is to provide guidance on what the preferred methods for E–R analysis in oncology clinical drug development are and what metrics of exposure should be considered.
Using Observational Dyadic Methods in Youth Mentoring Research: Preliminary Evidence of the Role of Actors’ and Partners’ Self-disclosure in Predicting Relationship Quality
Authors: Dutton Hilary , Deane Kelsey L. , Overall Nickola C. 
Published: March 2023

AbstractSelf-disclosure builds high quality relationships, but knowledge of self-disclosure in youth mentoring relationships is limited by a lack of research and reliance on self-reports. To demonstrate the value of observational methods and dyadic modeling of mentoring communication processes, this study examined the associations between behavioral observation of self-disclosure and self-reported relationship quality in 49 mentee-mentor dyads (mentees: 73.5% female; x̄ age = 16.2, range = 12–19; mentors: 69.4% female; x̄ age = 36.2, range = 19–59). Video-recorded observations of disclosure were coded on three dimensions: amount (number of topics and detail of disclosure), intimacy (disclosure of personal or sensitive information), and openness (willingness to disclose). More intimate mentor disclosure was associated with higher mentee relationship quality, whereas higher amount of mentor disclosure combined with low intimacy was associated with lower mentee relationship quality. Greater mentee openness correlated with higher mentor relationship quality, but more intimate mentee disclosures were associated with lower mentee relationship quality. These preliminary findings illustrate the potential of methods that enable in-depth investigation of dyadic processes to advance understanding of how behavioral processes may influence mentoring relationships.
Recombinant Insulin-Like Growth Factor 1 Dimers: Receptor Binding Affinities and Activation Abilities
Authors: Lin Jingjing , Asai Seiya , Selicharová Irena , Mitrová Katarína , Kaminský Jakub , Young Elinor , Jiráček Jiří 
Published: March 2023

AbstractInsulin-like growth factor 1 (IGF-1) and its IGF-1 receptor (IGF-1R) belong to an important biological system that is involved in the regulation of normal growth, but that has also been recognized as playing a role in cancer. IGF-1R antagonists could be interesting for the testing of their potential antiproliferative properties as an alternative to IGF-1R tyrosine-kinase inhibitors or anti-IGF-1R monoclonal antibodies. In this study, we were inspired by the successful development of insulin dimers capable of antagonizing insulin effects on the insulin receptor (IR) by simultaneous binding to two separated binding sites and by blocking structural rearrangement of the IR. We designed and produced in Escherichia coli three different IGF-1 dimers in which IGF-1 monomers are interlinked through their N- and C-termini, with linkers having 8, 15 or 25 amino acids. We found that the recombinant products were susceptible to the formation of misfolded or reduced variants, but that some of them were able to bind IGF-1R in low nanomolar affinities and all of them activate IGF-1R proportionally to their binding affinities. Overall, our work can be considered as a pilot study that, although it did not lead to the discovery of new IGF-1R antagonists, explored the possibility of recombinant production of IGF-1 dimers and led to the preparation of active compounds. This work could inspire further studies dealing, for example, with the preparation of IGF-1 conjugates with specific proteins for the study of the hormone and its receptor or for therapeutic applications.
Graphical Abstract