bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electricity accounting in life cycle assessment: the challenge of double counting
Authors: Holzapfel Peter , Bach Vanessa , Finkbeiner Matthias 
Published: April 2023

Abstract
Purpose
In grid electricity consumption models, the location-based method uses regional average emission factors to account for environmental impacts. The market-based method is based on contractual agreements, verifying the exclusive claim on electricity from specific energy sources. An inconsistent application of these methods in life cycle assessment (LCA) and GHG accounting can lead to double counting. Especially, double counting electricity associated with rather low environmental impacts, such as renewable energy, might lead to impact underestimations. The aim of this paper is to identify, describe and propose solutions to double counting challenges.

Methods
A four-step procedure is carried out. First, the specifications on grid electricity mix selection in frequently applied standards for LCA and GHG accounting are analysed. Besides the ISO norms for LCA (14040/44) and carbon footprinting (14064/67), the GHG Protocol and the Product and Organizational Environmental Footprint (PEF/OEF) are considered. Based on this analysis, challenges of double counting electricity from specific sources are identified. In the third step, potential solutions for avoiding double counting are proposed. The last research step consists of an illustrative case study to demonstrate the calculation of market-based electricity mixes and identify potential adjustments necessities for LCA application.

Results and discussion
A parallel application of the location-based and the market-based method poses the main double-counting challenge. Thus, avoiding double counting demands consistent method application throughout the whole life cycle. Whereas this is relatively straightforward for the location-based method, consistent market-based method application is more challenging. LCAs rely on average life cycle inventory processes, which mostly include location-based electricity mixes. However, for consistent market-based method application throughout the life cycle, electricity-related environmental impacts in the inventory system also need to be market-based. This would demand a partial recalculation of LCI datasets using market-based residual electricity mixes. Besides illustrating the calculation of market-based electricity mixes, the case study is used to identify and propose solutions for two main challenges for residual mix application in LCA: countries without residual mix and electricity under a double marketing ban.

Conclusion
Double counting of electricity from specific energy sources is a challenge, since it can lead to under- or overestimations of environmental impacts. Both the location-based and market-based method can avoid double counting. However, parallel or inconsistent applications of both methods lead to double counting. In order to avoid double counting, there is a need to enable and use consistent electricity accounting rules in LCA and GHG accounting.
Multi-stage warm started optimal motion planning for over-actuated mobile platforms
Authors: Paz-Delgado Gonzalo J. , Pérez-del-Pulgar Carlos J. , Azkarate Martin , Kirchner Frank , García-Cerezo Alfonso 
Published: April 2023

AbstractThis work presents a computationally lightweight motion planner for over-actuated platforms. For this purpose, a general state-space model for mobile platforms with several kinematic chains is defined, which considers dynamics, nonlinearities and constraints. The proposed motion planner is based on a sequential multi-stage approach that takes advantage of the warm start on each step. Firstly, a globally optimal and smooth 2D/3D trajectory is generated using the Fast Marching Method. This trajectory is fed as a warm start to a sequential linear quadratic regulator that is able to generate an optimal motion plan without constraints for all the platform actuators. Finally, a feasible motion plan is generated considering the constraints defined in the model. In this respect, the sequential linear quadratic regulator is employed again, taking the previously generated unconstrained motion plan as a warm start. The motion planner has been deployed into the Exomars Testing Rover of the European Space Agency. This rover is an Ackermann-capable planetary exploration testbed that is equipped with a robotic arm. Several experiments were carried out demonstrating that the proposed approach speeds up the computation time and increases the success ratio for a martian sample retrieval mission, which can be considered as a representative use case of goal-constrained trajectory generation for an over-actuated mobile platform.
Emphasizing the Crosstalk Between Inflammatory and Neural Signaling in Post-traumatic Stress Disorder (PTSD)
Authors: Govindula Anusha , Ranadive Niraja , Nampoothiri Madhavan , Rao C Mallikarjuna , Arora Devinder , Mudgal Jayesh 
Published: April 2023

AbstractPost-traumatic stress disorder (PTSD) is a chronic incapacitating condition with recurrent experience of trauma-related memories, negative mood, altered cognition, and hypervigilance. Agglomeration of preclinical and clinical evidence in recent years specified that alterations in neural networks favor certain characteristics of PTSD. Besides the disruption of hypothalamus-pituitary-axis (HPA) axis, intensified immune status with elevated pro-inflammatory cytokines and arachidonic metabolites of COX-2 such as PGE2 creates a putative scenario in worsening the neurobehavioral facet of PTSD. This review aims to link the Diagnostic and Statistical Manual of mental disorders (DSM-V) symptomology to major neural mechanisms that are supposed to underpin the transition from acute stress reactions to the development of PTSD. Also, to demonstrate how these intertwined processes can be applied to probable early intervention strategies followed by a description of the evidence supporting the proposed mechanisms. Hence in this review, several neural network mechanisms were postulated concerning the HPA axis, COX-2, PGE2, NLRP3, and sirtuins to unravel possible complex neuroinflammatory mechanisms that are obscured in PTSD condition.
On meromorphic functions which are Brody curves
Authors: Winkelmann Jörg 
Published: April 2023

AbstractWe discuss meromorphic functions on the complex plane which are Brody curves regarded as holomorphic maps to $${{\mathbb {P}}}_1$$

P
1

, i.e., which have bounded spherical derivative. For some special classes we gave explicit criteria which functions are Brody. We also discuss which divisors of very slow growth may occur as zero divisor of a Brody function and show that there are transcendental entire functions of arbitrarily slow growth which are not Brody.
On proper minimality in set optimization
Authors: Huerga L. , Miglierina E. , Molho E. , Novo V. 
Published: April 2023

AbstractThe aim of this paper is to extend some notions of proper minimality from vector optimization to set optimization. In particular, we focus our attention on the concepts of Henig and Geoffrion proper minimality, which are well-known in vector optimization. We introduce a generalization of both of them in set optimization with finite dimensional spaces, by considering also a special class of polyhedral ordering cone. In this framework, we prove that these two notions are equivalent, as it happens in the vector optimization context, where this property is well-known. Then, we study a characterization of these proper minimal points through nonlinear scalarization, without considering convexity hypotheses.
Empirical and Computational-Based Phase Predictions of Thermal Sprayed High-Entropy Alloys
Authors: Bosi Ecio , Meghwal Ashok , Singh Surinder , Munroe Paul , Berndt Christopher C. , Ang Andrew Siao Ming 
Published: April 2023

AbstractDue to the wide range of compositional possibilities in the high-entropy alloy (HEA) field, empirical models and the CALPHAD method have been implemented to efficiently design HEAs. Although most design strategies have been tested on as-cast alloys, their validation for thermal sprayed HEA coatings is lacking. In this work, empirical models and the CALPHAD method under equilibrium and non-equilibrium conditions are assessed for phase prediction in five HEAs in the as-cast, laser clad and thermal sprayed conditions. High-velocity oxygen fuel coatings were prepared for these five HEAs, and their phases were identified by the x-ray diffraction analysis. These processes, even though their cooling rates vary significantly, show similar phase formation as indicated by a literature review and the current experimental study. The CALPHAD equilibrium calculation predicted most of the phases at specified temperatures. Furthermore, the CALPHAD-based non-equilibrium simulations correctly predicted the major phases present in the HEA coatings. The empirical models also show good prediction capability, but the intermetallic sigma phase is problematic for the parameter-based models. Therefore, the CALPHAD method can be used to efficiently design and develop HEAs prepared under conditions that encompass rapid cooling, such as occurring during thermal spray processes.
Cost-effectiveness of general practitioner- versus surgeon-led colon cancer survivorship care: an economic evaluation alongside a randomised controlled trial
Authors: Vos Julien A. M. , El Alili Mohamed , Duineveld Laura A. M. , Wieldraaijer Thijs , Wind Jan , Sert Edanur , Donkervoort Sandra C. , Govaert Marc J. P. M. , van Geloven Nanette A. W. , van de Ven Anthony W. H. , Heuff Gijsbert , van Weert Henk C. P. M. , Bosmans Judith E. , van Asselt Kristel M. ,   on behalf of the ICARE study group
Published: April 2023

Abstract
Purpose
The aim of this study is to assess cost-effectiveness of general practitioner (GP) versus surgeon-led colon cancer survivorship care from a societal perspective.

Methods
We performed an economic evaluation alongside the I CARE study, which included 303 cancer patients (stages I–III) who were randomised to survivorship care by a GP or surgeon. Questionnaires were administered at baseline, 3-, 6-, 12-, 24- and 36-months. Costs included healthcare costs (measured by iMTA MCQ) and lost productivity costs (SF-HLQ). Disease-specific quality of life (QoL) was measured using EORTC QLQ-C30 summary score and general QoL using EQ-5D-3L quality-adjusted life years (QALYs). Missing data were imputed. Incremental cost-effectiveness ratios (ICERs) were calculated to relate costs to effects on QoL. Statistical uncertainty was estimated using bootstrapping.

Results
Total societal costs of GP-led care were significantly lower compared to surgeon-led care (mean difference of − €3895; 95% CI − €6113; − €1712). Lost productivity was the main contributor to the difference in societal costs (− €3305; 95% CI − €5028; − €1739). The difference in QLQ-C30 summary score over time between groups was 1.33 (95% CI − 0.049; 3.15). The ICER for QLQ-C30 was − 2073, indicating that GP-led care is dominant over surgeon-led care. The difference in QALYs was − 0.021 (95% CI − 0.083; 0.040) resulting in an ICER of 129,164.

Conclusions
GP-led care is likely to be cost-effective for disease-specific QoL, but not for general QoL.

Implications for cancer survivors
With a growing number of cancer survivors, GP-led survivorship care could help to alleviate some of the burden on more expensive secondary healthcare services.
Designing for Care
Authors: Frigo Giovanni , Milchram Christine , Hillerbrand Rafaela 
Published: April 2023

AbstractThis article introduces Designing for Care (D4C), a distinctive approach to project management and technological design informed by Care Ethics. We propose to conceptualize “care” as both the foundational value of D4C and as its guiding mid-level principle. As a value, care provides moral grounding. As a principle, it equips D4C with moral guidance to enact a caring process. The latter is made of a set of concrete, and often recursive, caring practices. One of the key assumption of D4C is a relational ontology of individual and group identities, which fosters the actualization of caring practices as essentially relational and (often) reciprocal. Moreover, D4C adopts the “ecological turn” in CE and stresses the ecological situatedness and impact of concrete projects, envisioning an extension of caring from intra-species to inter-species relations. We argue that care and caring can influence directly some of the phases and practices within the management of (energy) projects and the design of sociotechnical (energy) artefacts and systems. When issues related to “value change” emerge as problematic (e.g., values trade-offs, conflicts), the mid-level guiding principle of care helps evaluate and prioritize different values at stake within specific projects. Although there may be several actors and stakeholders involved in project management and technological design, here we will focus on the professionals in charge of imagining, designing, and carrying out these processes (i.e., project managers, designers, engineers). We suggest that adopting D4C would improve their ability to capture and assess stakeholders’ values, critically reflect on and evaluate their own values, and judge which values prioritize. Although D4C may be adaptable to different fields and design contexts, we recommend its use especially within small and medium-scale (energy) projects. To show the benefits of adopting it, we envisage the application of D4C within the project management and the technological design of a community battery. The adoption of D4C can have multiple positive effects: transforming the mentality and practice of managing a project and designing technologies; enhancing caring relationships between managers, designers, and users as well as among users; achieving better communication, more inclusive participation, and more just decision-making. This is an initial attempt to articulate the structure and the procedural character of D4C. The application of D4C in a concrete project is needed to assess its actual impact, benefits, and limitations.
Reliability and generality of the novel pop-out effect following passive pre-exposure to array items
Authors: McCarthy John D. , Reed Phil 
Published: April 2023

AbstractNovel pop-out refers to the relative ease in locating an unfamiliar target against a background of familiar distractors in visual search tasks. For instance, when one novel item is presented along with three familiar items, it is located faster than when the target is itself familiar, or when all items are novel or familiar. However, the reliability and generality of the novel pop-out effect has been questioned. Three experiments with human participants examined the reliability of within-array novel pop-out effects, and explored the conditions under which these effects can be obtained. The degree to which subjects could identify a novel item when presented against a background of familiar items, or against a background of other novel items, was assessed using two different visual search tasks. Experiments 1 and 3 replicated the theoretically important within-array novel pop-out effect, using the original procedure adopted by Johnston and colleagues. In the current studies, the array items were rendered novel or familiar by virtue of their previous absence or presence, respectively, in a pre-exposure phase, which allowed greater control over their novelty or familiarity. However, the use of this procedure abolished the typically-reported advantage for all-familiar versus all-novel arrays (Experiments 2 and 3). It is suggested that any model of attention should be sensitive to the present goal state of the subject, and that the literature on latent inhibition may provide one such mechanism through which such a set of effects could be explained.
"Can I please postpone my dentist appointment?" - Exploring a new area of procrastination
Authors: Rapoport Olga , Möcklinghoff Sarah , Merz Simon , Neidhardt Eva 
Published: April 2023

AbstractIt is known that both procrastination and self-compassion are associated with health behaviours in the sense that the former reduces them and the latter increases them. It is also known that regular visits to the doctor and especially to the dentist are part of a healthy lifestyle. The aim of this study was to investigate the influence of procrastination and self-compassion on dental attendance. For this purpose, a new questionnaire was designed and confirmed by means of an explorative factor analysis. The results show that procrastination has an influence on dental attendance, even when the influence of dental anxiety is excluded. No conclusion can be drawn about the influence of self-compassion on dental attendance.These results open up a new area in which procrastination plays an important role and which has been neglected until now. The study emphasises the importance of further research into procrastination behaviour in the health area, in order to be able to minimise it in the long term.
Efficient soluble PTCBI-type non-fullerene acceptor materials for organic solar cells
Authors: Gao Xiang , Sun Fengbo , Tong Xinzhu , Zheng Xufan , Wang Yinuo , Xiao Cong , Li Pengcheng , Yang Renqiang , Wang Xunchang , Liu Zhitian 
Published: April 2023

AbstractSingle perylene diimide (PDI) used as a non-fullerene acceptor (NFA) in organic solar cells (OSCs) is enticing because of its low cost and excellent stability. To improve the photovoltaic performance, it is vital to narrow the bandgap and regulate the stacking behavior. To address this challenge, we synthesize soluble perylenetetracarboxylic bisbenzimidazole (PTCBI) molecules with a bulky side chain at the bay region, by replacing the widely used “swallow tail” type alkyl chains at the imide position of PDI molecules with a planar benzimidazole structure. Compared with PDI molecules, PTCBI molecules exhibit red-shifted UV–vis absorption spectra with larger extinction coefficient, and one magnitude higher electron mobility. Finally, OSCs based on one soluble PTCBI-type NFA, namely MAS-7, exhibit a champion power conversion efficiency (PCE) of 4.34%, which is significantly higher than that of the corresponding PDI-based OSCs and is the highest PCE of PTCBI-based OSCs reported. These results highlight the potential of soluble PTCBI derivatives as NFAs in OSCs.
Graphical abstract
Coronary Perfusion After Valve-in-Valve Transcatheter Aortic Valve Implantation in Small Aortic Root: In Vitro Experimental Assessment
Authors: Jaworek Michal , Gelpi Guido , Perico Francesca , Romagnoni Claudia , Tasca Giordano , Salurso Eleonora , Contino Monica , Redaelli Alberto , Fiore Gianfranco Beniamino , Vismara Riccardo 
Published: April 2023

AbstractCoronary flow obstruction following transcatheter aortic valve-in-valve implantation (VIV-TAVI) is associated with a high mortality risk. The aim of this work was to quantify the coronary perfusion after VIV-TAVI in a high-risk aortic root anatomy. 3D printed models of small aortic root were used to simulate the implantation of a TAVI prosthesis (Portico 23) into surgical prostheses (Trifecta 19 and 21). The aortic root models were tested in a pulsatile in vitro bench setup with a coronary perfusion simulator. The tests were performed at baseline and post-VIV-TAVI procedure in aligned and misaligned commissural configurations under simulated hemodynamic rest and exercise conditions. The experimental design provided highly controllable and repeatable flow and pressure conditions. The left and right coronary mean flow did not differ significantly at pre- and post-VIV-TAVI procedure in any tested configurations. The commissural misalignment did not induce any significant alterations to the coronary flow.
Graphical Abstract
High-risk aortic root anatomy did not trigger coronary ostia obstruction or coronary flow alteration after transcatheter aortic valve implantation in a surgical bioprosthesis as shown from in-vitro flow loop tests.
Integer programming column generation: accelerating branch-and-price using a novel pricing scheme for finding high-quality solutions in set covering, packing, and partitioning problems
Authors: Maher Stephen J. , Rönnberg Elina 
Published: April 2023

AbstractLarge-neighbourhood search (LNS) heuristics are important mathematical programming techniques that search for primal feasible solutions by solving an auxiliary problem with a restricted feasible region. Extending such powerful generic LNS heuristics to the branch-and-price context is inherently challenging. The most prominent challenges arise from the fact that in branch-and-price algorithms, columns are generated with the sole aim to solve linear programming relaxations. Hence, the ability to form integer feasible solutions is not considered during the generation of columns. Without any changes to the standard pricing schemes, the potential of deploying generic LNS heuristics within a branch-and-price procedure is severely limited. This paper proposes a matheuristic, based on an LNS heuristic framework, where the novelty is a customised pricing scheme for generating columns to solve an auxiliary problem. The theoretical foundation for this pricing scheme is a set of optimality conditions for integer programs. From this foundation, a column generation strategy is developed for finding columns that are likely to be of use in high-quality primal feasible solutions for the original problem. The proposed matheuristic is implemented in the generic branch-price-and-cut solver GCG. On a broad test set comprising classical block diagonal structured instances and general instances from the MIPLIB 2017 Collection, the computational results show a significant improvement to the solving performance of GCG.
Hydro-chemical Characteristics of Melt Water Draining from Glaciers of Rongdo Basin, Shyok Valley, Ladakh
Authors: Majeed Zahid , Mukhtar Muneer A. , Bhat Nadeem A. , Misra Rakesh , Qureshi Anayat Ahmad 
Published: April 2023

Abstract
Physico-chemical parameters of meltwater of 20 water samples from glaciers of Rongdo basin, Shyok valley are presented here. The concentration of cations and anions of the two valleys were found in the order Ca&gt;Mg&gt;Na&gt;K and HCO3&gt;SO4&gt;Cl&gt;NO3 respectively. Significant altitudinal variation was found in major ions as indicated by the increase of TDS of glacial melt and stream water samples downstream. Gibbs plot shows chemical weathering of the rock forming minerals as the main cause for contributing ions to the melt water. The dominant order of hydrogeochemical water types identified is Ca-HCO3, is due to the water rock interaction which leads to the easy dissolution of carbonate and silicate minerals. However, few glacial melt and stream water have the influence of precipitation and meltwater runoff on chemistry. The hot spring falls in Na-HCO3 type, a typical of deeper groundwater influenced by ion exchange processes. Scatter plots of HCO3+SO4 vs. Ca/Na Plot and Ca/Na vs. HCO3/Na clearly indicates that the weathering of carbonate and silicate play a dominant role on groundwater chemistry. Two chloro-alkaline indices indicate reverse exchange reaction between Na+, K+, Mg2+and Ca2+. The physical parameters and major ions are within the permissible concentrations as per WHO and BIS indicating water is good for drinking and domestic purposes. The groundwater is suitable for irrigation as per the quality parameters and plots including EC, sodium percent (Na%) and sodium adsorption ratio (SAR).