bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ecological footprint analysis of the phosphorus industry in China
Authors: Li Binlin , Danish  , Khan Salah Ud-Din , Haneklaus Nils 
Published: May 2022

Abstract
Mitigating the effects of environmental deterioration requires a focus on not just CO2 emissions from energy consumption, but also environmental pollution from industry sectors. To reach this goal, recent studies have extended ecological footprint (EF) analysis to identify the ecological drivers of various key industry sectors. The role of the phosphorus (P) industry on the EF within the environmental Kuznets curve (EKC) framework for China is the emphasis of this study. Autoregressive distributive lag (ARDL) as well as the impulse response function and robustness analysis were used to consider a time from 1985 to 2018. The study verifies the EKC hypothesis for China in both the long and the short run, and indispensable determinants are proposed to be included to assure the model’s fitness and robustness when conducting EF analysis of industry sectors. Energy consumption–based carbon emissions have been verified as the dominant contributor to EF, but P use and urbanization have a significant lagged positive influence on EF in the short run. P exports, in particular, have been highlighted as a critical driver of the EF of China’s P industry. The conducted frequency domain causality test reinforced the above findings and demonstrated bidirectional causality at different frequencies. This work suggests that formulating plausible P export policies to alleviate the conflict between the output of China’s P industry and the environmental sustainability of this industry are necessary. In this context, “multidisciplinary, multidimensional, and practical solutions” are most desirable for sustainable P management.
Systematics and conservation of British and Irish orchids: a "state of the union" assessment to accompany Atlas 2020
Authors: Bateman Richard M. 
Published: May 2022

SummaryPrompted by concurrent completion of the latest plant atlas for Britain and Ireland, the orchid flora of these islands is reviewed in detail, focusing on 21st century progress in both systematics research and formal conservation categorisation under IUCN criteria. DNA-based phylogenies consistently circumscribe monophyletic groups that constitute obvious genera, though relationships among those genera remain less certain and resistance to phylogenetic classification persists. Comparison of species circumscription studies in critical groups such asDactylorhiza,Gymnadenia,Platanthera,EpipactisandOrchisshows that most of the recent progress has been achieved using DNA-based techniques, which have also greatly increased understanding of associated mycorrhizae. Most morphological studies remain disappointingly traditional, squandering opportunities for morphometric studies that identify discontinuities between species, allow comparison of rates of morphological and molecular evolution, and underpin accurate quantitative descriptions designed to aid identification. Possibly only one of the 53 species recognised as native is still viewed as endemic. Conventional views on the significance of both pollinator specificity and quantitative seed output as the preferred measure of fitness are questioned, and mycorrhizae are explored as possibly under-rated ecological filters. Comparison of species distributions in successive Atlases suggests diverse patterns of change that reflect a combination of habitat modification, climate change and, in a few cases, improved identification skills. Ecologically tolerant lowland species such asOphrys apiferaandDactylorhiza praetermissaare migrating northward rapidly, while the genusSerapiasappears to be mounting a cross-Channel invasion. Most formal Red-Listing categorisations, and the underlying IUCN criteria, are supported for decisions made within the British Isles, but unfortunately, they have translated poorly into the equivalent European and Global lists. Within Britain, the Data Deficient category has been employed too frequently and illogically; ironically, it is sometimes used to penalise species for having been the subjects of serious research. Far from being "complete", the present consensus view on the taxonomy and evolution of the glacially impoverished British and Irish flora is judged both parochial and complacent. Reinvigorated UK-based research programmes that integrate quantitative morphological and molecular studies of British and Irish natives in a European context are urgently needed.
Pore pressure prediction in a carbonate reservoir: a case study from Potwar Plateau, Pakistan
Authors: Khan Muhammad Younis , Awais Muhammad , Hussain Farrukh , Hussain Matloob , Jan Irfan U. 
Published: May 2022

AbstractDeep sedimentary successions, which are usually over-pressured, require accurate prediction of abnormal pressures to avoid catastrophic incidents, e.g., well blowouts; thus, pore pressure prediction (PPP) makes an important step for efficient reservoir modeling, cost-optimization and safe well-planning procedures in the hydrocarbon exploration. The objective of this study focuses on the estimation of formation pore pressure (PP) within the Eocene Chorgali Formation, using well logs data (from MYL-X1 and MYL-X2 wells) of Meyal Oil Field, Potwar Plateau, Pakistan, and its integration with outcrop, microscopic and seismic data. The formation PP is estimated from geophysical well logs (gamma-ray and sonic logs), by applying the widely used Eaton’s method. The pore pressure gradient (PPG) indicates the presence of pressured zone(s) in the Chorgali Formation in both wells. In MYL-X1, Chorgali Formation PPG and PP ranged from 9 to 13 lbs/gal and 5800 to 8400 psi, respectively, at about depth of 3760–3800 m. The reservoir Chorgali Formation in MYL-X2 wells also displayed pressure zone at about depth interval of 3820–3890 m with PPG and PP values of 8.9–11.6 lbs/gal and 5700–7500 psi, respectively; however, it indicated less pressure than MYL-X1. The synthesis of outcrop, microscopic, well logs and seismic data sets illustrates variations in pore pressure within the Eocene Chorgali Formation that is influenced and controlled by depositional, diagenetic and tectonic fabric among other factors. The variations in PP are necessary to determine to avoid any geologic disaster. Such incidents may cause potential loss during drilling operations in the geologically complicated settings of the Himalayan Fold-and-Thrust belt.
The maturity of Silurian Longmaxi shale in Jiaoshiba, Sichuan Basin: as revealed by laser Raman spectroscopy
Authors: Lin Junfeng , Hu Haiyan , Zhang Lihong , Zhang Xiaodong , Liu Zhigang 
Published: May 2022

AbstractAccurate estimates of the thermal maturity of organic matter are important in studies of shale oil and gas, as these data are directly related to the genesis type of shale gas, adsorption capacity of shale and formation of organic pores in organic-rich shale. Longmaxi shale is a major shale gas exploration target in South China and a typical overmature shale gas play. Because Longmaxi shale is Silurian marine strata without vitrinites, it is difficult to determine its maturity accurately. In order to evaluate the maturity of the Longmaxi shale exactly, in this paper, solid bitumen reflectance, basin modeling and laser Raman spectroscopy analyses of solid bitumen were carried out on the shale. The solid bitumen reflectance of Longmaxi shale is range of 2.77–4.14% with a mean of 3.5%, and the corresponding equivalent vitrinite reflectance (EqVRo) is 2.6%; additional information about the maturation is provided by the basin modeling with the constraint of the maximum paleo-geothermal about 210–220 °C which was indicated by thermo-acoustic emission measurement, fluid inclusion thermometry and equivalent vitrinite reflectance. In addition, the Raman was applied to Longmaxi shale in Jiaoshiba firstly, and the Raman inter-peak interval between peak G (graphitic band) and peak D (disordered band) is range of 270–279 cm−1, which suggests that equivalent vitrinite reflectance is about 2.67% and is consistent with the results of solid bitumen reflectance, infrared spectrum and basin simulation. Approximate conclusions have been drawn from these different methods, and the thermal evolution of Longmaxi shale in Jiaoshhiba area, the largest shale gas field in China, was estimated at approximately 2.5–2.7%, which means that it has reached the overmature dry gas stage. Overall, the findings also imply that Raman spectra of pyrobitumen can be used effectively to evaluate the maturation of the marine shale without vitrinites.
Glycerosomal thermosensitive in situ gel of duloxetine HCl as a novel nanoplatform for rectal delivery: in vitro optimization and in vivo appraisal
Authors: Salem Heba F. , Ali Adel A. , Rabea Yasmine K. , El-Ela Fatma I. Abo , Khallaf Rasha A. 
Published: May 2022

AbstractDuloxetine HCl (DXH) is a reuptake inhibitor of serotonin and norepinephrine used to treat the major depressive disorder. Following its extensive hepatic metabolism, acid-labile nature, and limited aqueous solubility, DXH has poor oral bioavailability (40%). The rectal route has been suggested as another route of administration to surmount such challenges. The present study aimed to prepare DXH-loaded glycerosomal (DXH-GLYS) in situ gel for rectal administration to increase DXH permeability and improve its bioavailability. Box–Behnken design (BBD) was adopted to prepare and optimize nanoglycerosomes. The impact of Phospholipon 90G (PL90G), Tween 80 concentrations, and glycerol percentage on encapsulation efficiency, nanoglycerosomal size, % cumulative DXH released, and the cumulative DXH permeated per unit area after 24 h were studied by the design. The pharmacokinetic and pharmacodynamic behavior of optimized formulation was investigated in rats. The formulated DXH-GLYS had a vesicle size ranging between 135.9 and 430.6 nm and an entrapment efficiency between 69.11 and 98.12%. The permeation experiment revealed that the optimized DXH-GLYS in situ gel increased DXH permeation by 2.62-fold compared to DXH solution. Pharmacokinetics studies disclosed that the DXH-GLYS in situ rectal gel exhibited 2.24-times increment in DXH bioavailability relative to oral DXH solution. The pharmacodynamic study revealed that the DXH-GLYS rectal treatment significantly improved the behavioral analysis parameters and was more efficacious as an antidepressant than the oral DXH solution. Collectively, these findings demonstrate that GLYS can be considered a potentially valuable rectal nanocarrier that could boost the DXH efficacy.
Graphical abstract
Fiscal sustainability in the GCC countries
Authors: Magazzino Cosimo 
Published: May 2022

AbstractWe explore the fiscal sustainability in the six Gulf Cooperation Council (GCC) countries over the period 1990–2017. Panel unit root tests in presence of cross-sectional dependence for government revenues, expenditures, the primary balance, and debt reach mixed results. However, cointegration tests reveal that a long-run relationship exists between government revenues and expenditures, while the relationship between government primary deficit and debt is controversial. Panel estimates of the cointegrating relationship indicate that Saudi Arabia is in a condition of risk, having to keep the debt under control. Yet, Bahrain and Qatar seem to face the toughest challenges. The results of causality tests support the hypothesis of fiscal synchronization, implying that the GCC governments take decisions on their revenues and expenditures simultaneously.
Barriers and Facilitators for Conducting Implementation Science in German-Speaking Countries: Findings from the Promote ImpSci Interview Study
Authors: Schultes Marie-Therese , Finsterwald Monika , Brunkert Thekla , Kien Christina , Pfadenhauer Lisa , Albers Bianca 
Published: May 2022

AbstractOn a global scale, implementation science has developed considerably as a discipline in recent years. In German-speaking countries, the field has been gaining significance as well, but respective efforts in building capacity and advancing the research infrastructure are still rare. The present study investigates barriers and facilitators for conducting implementation science in German-speaking countries with the goal of formulating recommendations for creating a more supportive research infrastructure. We conducted an interview study with nine well-established implementation researchers affiliated with universities in Austria, Germany, or Switzerland. The interviews were held via Zoom or phone in November and December 2020, transcribed verbatim and analyzed using thematic analysis. Barriers that relate to characteristics of the discipline were difficulties in building a common understanding of the field and the complexity of implementation research projects. Although supportive scientific networks were important facilitators, interviewees mentioned challenges in connecting with likeminded researchers. A further barrier was the lack of opportunities for education and training in implementation science, especially in the German language. Also, participants reported a missing readiness in academia for establishing implementation science that should be addressed by advocacy of the discipline toward academic decision makers. Moreover, since most national funding agencies prioritize basic research over applied research, some interviewees named flexibility in handling research funds as a facilitator for implementation research. The results inform an agenda for promoting implementation science in German-speaking countries and can be beneficial to other countries that are currently advancing their implementation research capacity and infrastructure.
Decision-making support: the impact of training on disability support workers who work with adults with cognitive disability
Authors: Koritsas Stella 
Published: May 2022

AbstractThere is growing recognition that people with disability have the right to be involved in making decisions that affect their lives. Decision-making support has emerged as one way to support people with cognitive disability to make decisions, however, there is a paucity of research that explores how disability support workers can be upskilled to provide decision-making support to this group. The aim of the research was to explore the impact of an evidence-based online training course on disability support workers of adults with cognitive disability. Changes in knowledge about decision-making support and confidence in providing decision-making support were explored, attitudes towards decision-making support, and facilitators and barriers. Participants completed an online training course and responded to a survey on three occasions: baseline, post-training, and at 2-month follow-up. Ninety-nine disability support workers across Australia participated in the online training and completed the baseline and post-training surveys. Thirty-six participants completed the training and all three surveys. The results revealed that there were statistically significant improvements in knowledge, confidence, and attitudes from baseline to post-training, which were maintained at 2-month follow-up. Barriers to decision-making support included service providers or other supporters, including the family of the person with cognitive disability, whilst a key enabler was knowing about the decision-making support principles. This research demonstrates that an evidence-based online training course about decision-making support can be effective in building capacity in disability support workers. There are, however, several barriers that must be addressed to facilitate the implementation of decision-making support.
From Modeled Topics to Areas of Law: A Comparative Analysis of Types of Proceedings in the German Federal Constitutional Court
Authors: Wendel Luisa , Shadrova Anna , Tischbirek Alexander 
Published: May 2022

AbstractQuantitative approaches are gaining popularity in German legal research. The analysis of large corpora of legal text may be supported by text mining methods. In this study, we employ topic modeling—which aims at retrieving the “topics” of a corpus—to identify words related to certain areas of law present in the case law of the German Federal Constitutional Court (FCC). This information is then evaluated by legal experts and used to show significant content-related differences between the two most frequent types of proceedings before the FCC. Technical and somewhat unstable areas of law, such as tax law, social law, and civil service law, are significantly overrepresented in referrals for judicial review, whereas areas of law characterized by well-developed case law and judicial doctrine appear substantially more often in constitutional complaints. This insight may come as a surprise due to the fact that the Court’s material scope of review is identical in both types of proceedings. Our considerations do not, however, seem to apply to private law. Though we recognize the methodological and epistemological concerns regarding the heuristic nature of topic modeling, this study exemplifies its productive use in complementing, rather than replacing, more traditional techniques of analysis in legal studies.
Toward a Nonbinary Model of Gender/Sex Traits
Authors: Ziemińska Renata 
Published: May 2022

AbstractI argue against the exclusive female/male divide, referring to the phenomenon of epistemic injustice in the cases of people with nonbinary gender identities and people with intersex traits. Such people have traits that are counterexamples to the binary female/male model. I have separated female and male traits into nine basic layers, five of which belong to sex (chromosomes, gonads, internal sex organs, external genitals, and secondary sex characteristics) and four to gender (gender identity, legal gender, external gender presentation, and gender pronouns). In every layer, I have found traits that are neither female nor male, and the application of the model to individuals provides examples of clusters of traits for which one layer is male and another female. Such traits and clusters of traits create the category of the nonbinary. Table 1 provides a sketch of a nonbinary model. The nonbinary category takes its name from the existing category of nonbinary gender identity; however, in the current model, it is a third category of traits, not of people. Under the nonbinary model, the basic gender concepts do not disappear.Sis a woman ifSis a human being with enough female traits, and the trait of having self-determined female gender identity is sufficient but not necessary.
Designers as Change Agents: Perceived Roles in Advancing Sustainability in Organizations on Different Design Utilization Levels
Authors: van der Marel F. , Björklund T. 
Published: May 2022

AbstractDesign scholarship has long roots in tackling wicked problems and sustainability, yet less is known about how professional designers interact with sustainability issues in practice. Based on interviews with 104 designers in 101 organizations in Finland, this study compares designer perceptions on the role of design in advancing sustainability. We identify six common roles, each with various foci on different design maturity levels in organisations. The findings support managers and designers in understanding which capabilities might be needed in advancing the role of design and sustainability.
Forecasting the Number of End-of-Life Vehicles: State of the Art Report
Authors: Xia H. , Han J. , Milisavljevic-Syed J. 
Published: May 2022

AbstractAcademics and practitioners have shown a growing interest in automobile reverse supply chain (RSC) management as a result of the rise of circular economy and the development of Industry 4.0. Accurate quantity prediction enhances the efficiency of all decision levels in automobile RSC, not only the recovery of end-of-life vehicles (ELVs). Therefore, a comprehensive state-of-the-art review, evaluating ELVs quantity forecasting methodologies and summarizing the main variables influencing forecasting outcomes, is conducted to throw shed light on future research directions.
Data-Driven Design Support for Additively Manufactured Heating Elements
Authors: Hilbig K. , Nowka M. , Redeker J. , Watschke H. , Friesen V. , Duden A. , Vietor T. 
Published: May 2022

AbstractAdditive Manufacturing (AM) enables innovative product designs. One promising research field is AM of integrated electrically structures, e.g. heating panels using Joule effect. A mayor challenge in designing heating panels using AM is the dependency of its resultant resistivity from material, process and geometry parameters. The goal-oriented design of heating panels with individual surface temperatures the interactions between these parameters need to be understand. Therefore, a data-driven design approach is developed that facilitates a design of heating panels with specific properties.
Evaluate Similarity of Requirements with Multilingual Natural Language Processing
Authors: Bisang U. , Brünnhäußer J. , Lünnemann P. , Kirsch L. , Lindow K. 
Published: May 2022

AbstractFinding redundant requirements or semantically similar ones in previous projects is a very time-consuming task in engineering design, especially with multilingual data. Due to modern NLP it is possible to automate such tasks. In this paper we compared different multilingual embeddings models to see which of them is the most suitable to find similar requirements in English and German. The comparison was done for both in-domain data (requirements pairs) and out-of-domain data (general sentence pairs). The most suitable model were sentence embeddings learnt with knowledge distillation.
Design of an Intrinsically Motivating AR Experience for Environmental Awareness
Authors: Porro S. , Spadoni E. , Bordegoni M. , Carulli M. 
Published: May 2022

AbstractAugmented Reality seems a promising tool to provide engaging and effective educational experiences, thanks to its potentiality in stimulating intrinsic motivation, that could influence the learning process and the attitude of the users towards behaviours. This paper presents the Resized Plastic Augmented Reality learning experience, designed on the basis of Dunleavy's framework to provide a systemic overview of the microplastics issue to allow users to understand its mechanisms, educate them about their role in the system and help them to connect this information to their everyday actions.
Exploiting 3D Variational Autoencoders for Interactive Vehicle Design
Authors: Saha S. , Minku L. L. , Yao X. , Sendhoff B. , Menzel S. 
Published: May 2022

AbstractIn automotive digital development, 3D prototype creation is a team effort of designers and engineers, each contributing with ideas and technical evaluations through means of computer simulations. To support the team in the 3D design ideation and exploration task, we propose an interactive design system for assisted design explorations and faster performance estimations. We utilize the advantage of deep learning-based autoencoders to create a low-dimensional latent manifold of 3D designs, which is utilized within an interactive user interface to guide and strengthen the decision-making process.
Digital Artefacts and The Role of Digital Affordance
Authors: Colombo S. , Montagna F. , Cascini G. , Palazzolo V. F. 
Published: May 2022

AbstractThis work investigates how the concept of affordance should be revised following the digital evolution. Starting from a review of the literature about affordance, the most acknowledged constructs are compared with the variegated definitions of digital artefacts. The paper proposes a definition of digital affordance, overcoming the inconsistencies identified in the literature. The study is enriched by a series of interviews to investigate the final users' perception of affordance. Finally, the paper shows the application of the proposed model with a case study related to food delivery services.