bluuebunny/crossref_metadata_2025_split huggingface dataset:
An integrated building information modelling-based environmental impact assessment framework
Authors: Ismaeel Walaa S.E. , Lotfy Rodina Abd El-Raouf 
Published: December 2022

AbstractThe application of Environmental Impact Assessment (EIA) studies faces many challenges, especially in developing countries. This problem was investigated in the existing literature and via a designed questionnaire among local practitioners. The reasons were mainly attributed to the seclusion of the EIA process across the project’s phases, as well as the complexity of the EIA procedures. Hence, the research argues that Building Information Modelling (BIM) applications can be the key to resolve several associated problems to EIA either directly, or indirectly by streamlining Environmental Management System (EMS). Thus, a keyword-based scientometric analysis was used to define parameters and interrelations and establish network analysis for a proposed BIM-based EIA framework. The proposed framework presents scoring schemes to support three types of assessments: the efficiency of applying BIM techniques for an EIA process (Score A), proper integration of BIM techniques for different EIA steps (Score I) and proper integration of BIM techniques across project phases (Score B). It also shows the interplay of points between the three schemes via a Sankey diagram. The proposed framework was applied to compare three major construction projects in a developing country, the case of Egypt to pinpoint areas of drawbacks. The results pinpointed poor application of advanced BIM models to support sustainability analysis for EIA studies. This is in addition to imbalance of applying BIM applications across different project phases, it was notably less pronounced for the operation and maintenance stage as well as end of life scenarios. Also, poor integration of BIM tools could not support decisions related to the mitigation step. Hence, applying 6-dimensional BIM model shall enable developing mitigation measures and shall support design optimization during building operation and end of life phase. This novel approach presents the required level of verification and quality control procedure needed by decision-makers and environmental engineers to perform EIA studies and pave the way for further related research.
Graphical Abstract
A novel approach based on rough set theory for analyzing information disorder
Authors: Gaeta Angelo , Loia Vincenzo , Lomasto Luigi , Orciuoli Francesco 
Published: December 2022

AbstractThe paper presents and evaluates an approach based on Rough Set Theory, and some variants and extensions of this theory, to analyze phenomena related to Information Disorder. The main concepts and constructs of Rough Set Theory, such as lower and upper approximations of a target set, indiscernibility and neighborhood binary relations, are used to model and reason on groups of social media users and sets of information that circulate in the social media. Information theoretic measures, such as roughness and entropy, are used to evaluate two concepts, Complexity and Milestone, that have been borrowed by system theory and contextualized for Information Disorder. The novelty of the results presented in this paper relates to the adoption of Rough Set Theory constructs and operators in this new and unexplored field of investigation and, specifically, to model key elements of Information Disorder, such as the message and the interpreters, and reason on the evolutionary dynamics of these elements. The added value of using these measures is an increase in the ability to interpret the effects of Information Disorder, due to the circulation of news, as the ratio between the cardinality of lower and upper approximations of a Rough Set, cardinality variations of parts, increase in their fragmentation or cohesion. Such improved interpretative ability can be beneficial to social media analysts and providers. Four algorithms based on Rough Set Theory and some variants or extensions are used to evaluate the results in a case study built with real data used to contrast disinformation for COVID-19. The achieved results allow to understand the superiority of the approaches based on Fuzzy Rough Sets for the interpretation of our phenomenon.
Functional characterization of SLC39 family members ZIP5 and ZIP10 in overexpressing HEK293 cells reveals selective copper transport activity
Authors: Polesel Marcello , Ingles-Prieto Alvaro , Christodoulaki Eirini , Ferrada Evandro , Doucerain Cédric , Altermatt Patrick , Knecht Michelle , Kuhn Michael , Steck Anna-Lena , Wilhelm Maria , Manolova Vania 
Published: December 2022

AbstractZinc is the second most prevalent metal element present in living organisms, and control of its concentration is pivotal to physiology. The amount of zinc available to the cell cytoplasm is regulated by the activity of members of the SLC39 family, the ZIP proteins. Selectivity of ZIP transporters has been the focus of earlier studies which provided a biochemical and structural basis for the selectivity for zinc over other metals such as copper, iron, and manganese. However, several previous studies have shown how certain ZIP proteins exhibit higher selectivity for metal elements other than zinc. Sequence similarities suggest an evolutionary basis for the elemental selectivity within the ZIP family. Here, by engineering HEK293 cells to overexpress ZIP proteins, we have studied the selectivity of two phylogenetic clades of ZIP proteins, that is ZIP8/ZIP14 (previously known to be iron and manganese transporters) and ZIP5/ZIP10. By incubating ZIP over-expressing cells in presence of several divalent metals, we found that ZIP5 and ZIP10 are high affinity copper transporters with greater selectivity over other elements, revealing a novel substrate signature for the ZIP5/ZIP10 clade.
The impact of a multimodal professional network on developing social capital and research capacity of faculty at historically black colleges and universities
Authors: Ives Jillian , Drayton Brian , Hobbs Kathryn , Falk Joni 
Published: December 2022

AbstractThis qualitative case study examined how a multimodal professional network environment (STEM for all Video Showcase) affected five STEM educational researchers’ capacity to engage in grant funded research at U.S. Historically Black Colleges and Universities (HBCUs). Guided by the social capital and professional network literature as a conceptual framework, we analyzed data from surveys, interviews, and online discussion posts. We aimed to understand HBCU-based researchers’ supports and barriers in writing and/or conducting grant funded research in STEM education, and ways in which the multimodal professional network experience supported their research and professional networking, if at all. We found that organizational structures shaped participants’ social capital as well as their grant funded research activities. Further, participating in a multimodal professional network enabled participants to further develop their research capacity and to also expand their collegial networks. We offer recommendations for institutions to support the research endeavors of their faculty and suggest ways in which organizations using or developing professional multimodal networks can enhance faculty research development.
A case study: temporal trends of environmental stressors and reproductive health of smallmouth bass (Micropterus dolomieu) from a site in the Potomac River Watershed, Maryland, USA
Authors: Walsh Heather L. , Gordon Stephanie E. , Sperry Adam J. , Kashiwagi Michael , Mullican John , Blazer Vicki S. 
Published: December 2022

AbstractDecades of poor reproductive success and young-of-the-year survival, combined with adult mortality events, have led to a decline in the smallmouth bass (SMB; Micropterus dolomieu) population in sections of the Potomac River. Previous studies have identified numerous biologic and environmental stressors associated with negative effects on SMB health. To better understand the impact of these stressors, this study was conducted at the confluence of Antietam Creek and the Potomac River from 2013 to 2019 to identify temporal changes associated with SMB reproductive health. Surface water samples were collected and analyzed for over 300 organic contaminants, including pesticides, phytoestrogens, pharmaceuticals, hormones and total estrogenicity (E2Eq). Adult SMB were collected and sampled for multiple endpoints, including gene transcripts associated with reproduction (molecular), histopathology (cellular), and organosomatic indices (tissue). In males, biomarkers of estrogenic endocrine disruption, including testicular oocytes (TO) and plasma vitellogenin (Vtg) were assessed. Numerous agriculture-related contaminants or land use patterns were associated with gene transcript abundance in both male and female SMB. Positive associations between pesticides in the immediate catchment with TO severity and E2Eq with plasma Vtg in males were identified. In males, the prevalence of TO and detectable levels of plasma Vtg, liver vitellogenin transcripts (vtg) and testis vtg were high throughout the study. Peaks of complex mixtures of numerous contaminants occurred during the spring/early summer when spawning and early development occurs and to a lesser extent in fall/winter during recrudescence. Management practices to reduce exposure during these critical and sensitive periods may enhance reproductive health of these economically important sportfishes.
Integrated Participatory Approach Reveals Perceived Local Availability of Wild Edible Plants in Northwestern Kenya
Authors: Oluoch Wyclife Agumba , Whitney Cory W. , Termote Céline , Borgemeister Christian , Schmitt Christine B. 
Published: December 2022

AbstractAvailability is a crucial aspect of wild edible plants (WEPs) consumption by indigenous communities. Understanding the local perception of this availability helps to determine, which contribution WEPs can make to rural communities. We used an integrated participatory approach to investigate important parameters and themes that influenced the perception of availability of woody WEPs. We demonstrate the approach in three communities in Turkana County, Kenya. By availability, we referred to the ease of accessing, harvesting, transporting, and processing WEPs for consumption. We conducted three focus group discussions (FGDs). We asked FGD participants to list, score, and discuss availability. We used logistic regression and mixed-content analysis to identify important parameters and themes, respectively. The most important WEPs were the toothbrush tree (Salvadora persica L.), Indian jujube (Ziziphus mauritiana Lam.), and mbamba ngoma (Balanites rotundifolia (Tiegh.) Blatt.). Distance, seasonality, price, and adequacy of harvested WEPs for household consumption were important parameters. Culture and tradition, distribution of WEPs, seasonality, and climate change emerged as important themes. We showed the importance of using an integrated participatory approach when assessing the perception of WEPs’ availability by local communities and could be used in comparable arid and semi-arid areas with semi-nomadic pastoralists across Africa.
Don’t Look Up! Individual Income Comparisons and Subjective Well-Being of Students in Thailand
Authors: Dufhues Thomas , Möllers Judith , Jantsch Antje , Buchenrieder Gertrud , Camfield Laura 
Published: December 2022

AbstractEmpirical evidence supports the hypothesis that an individual’s position in an income stratum—more than the absolute income level—determines subjective well-being. However, studies on subjective well-being suffer from a critical methodological weakness: they use exogenously defined reference groups. Our study addresses this point by applying an innovative new survey instrument. We ask respondents to identify individual reference persons for income comparisons. We find that these reference persons come from a range of social groups. Interactions between personality traits and the direction of income comparisons lead to different levels of subjective well-being. This highlights the importance of collecting information on personality traits in research on subjective well-being. We conclude that questions about self-defined individual income comparisons can be a valuable and straightforward addition to future surveys.
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Authors: Cheng Sibo , Chen Jianhua , Anastasiou Charitos , Angeli Panagiota , Matar Omar K. , Guo Yi-Ke , Pain Christopher C. , Arcucci Rossella 
Published: December 2022

AbstractReduced-order modelling and low-dimensional surrogate models generated using machine learning algorithms have been widely applied in high-dimensional dynamical systems to improve the algorithmic efficiency. In this paper, we develop a system which combines reduced-order surrogate models with a novel data assimilation (DA) technique used to incorporate real-time observations from different physical spaces. We make use of local smooth surrogate functions which link the space of encoded system variables and the one of current observations to perform variational DA with a low computational cost. The new system, named generalised latent assimilation can benefit both the efficiency provided by the reduced-order modelling and the accuracy of data assimilation. A theoretical analysis of the difference between surrogate and original assimilation cost function is also provided in this paper where an upper bound, depending on the size of the local training set, is given. The new approach is tested on a high-dimensional (CFD) application of a two-phase liquid flow with non-linear observation operators that current Latent Assimilation methods can not handle. Numerical results demonstrate that the proposed assimilation approach can significantly improve the reconstruction and prediction accuracy of the deep learning surrogate model which is nearly 1000 times faster than the CFD simulation.
Elementary Belief Revision Operators
Authors: Chandler Jake , Booth Richard 
Published: December 2022

AbstractDiscussions of the issue of iterated belief revision are commonly accompanied by the presentation of three “concrete” operators: natural, restrained and lexicographic. This raises a natural question: What is so distinctive about these three particular methods? Indeed, the common axiomatic ground for work on iterated revision, the AGM and Darwiche-Pearl postulates, leaves open a whole range of alternative proposals. In this paper, we show that it is satisfaction of an additional principle of “Independence of Irrelevant Alternatives”, inspired by the literature on Social Choice, that unites and sets apart our three “elementary” revision operators. A parallel treatment of iterated belief contraction is also given, yielding a family of elementary contraction operators that includes, besides the well-known “conservative” and “moderate” operators, a new contraction operator that is related to restrained revision.
Bayesian A-optimal two-phase designs with a single blocking factor in each phase
Authors: Vo-Thanh Nha , Piepho Hans-Peter 
Published: December 2022

AbstractTwo-phase experiments are widely used in many areas of science (e.g., agriculture, industrial engineering, food processing, etc.). For example, consider a two-phase experiment in plant breeding. Often, the first phase of this experiment is run in a field involving several blocks. The samples obtained from the first phase are then analyzed in several machines (or days, etc.) in a laboratory in the second phase. There might be field-block-to-field-block and machine-to-machine (or day-to-day, etc.) variation. Thus, it is practical to consider these sources of variation as blocking factors. Clearly, there are two possible strategies to analyze this kind of two-phase experiment, i.e., blocks are treated as fixed or random. While there are a few studies regarding fixed block effects, there are still a limited number of studies with random block effects and when information of block effects is uncertain. Hence, it is beneficial to consider a Bayesian approach to design for such an experiment, which is the main goal of this work. In this paper, we construct a design for a two-phase experiment that has a single treatment factor, a single blocking factor in each phase, and a response that can only be observed in the second phase.
Timescale standard to discriminate between hyperbolic and exponential discounting and construction of a nonadditive discounting model
Authors: Matsushita Yutaka 
Published: December 2022

AbstractUnder the presupposition that human time perception is distorted in intertemporal choice, this study constructs a time scale in the framework of axiomatic measurement. First, the conditions (homogeneity of degree one or two) to identify the form of a time scale are proposed so that one can determine whether the hyperbolic or exponential is a more suitable function for modeling people’s discounting. Homogeneity of degree one implies that subjective time delay is measured by a power scale and its discount function becomes a power-exponential type, whereas homogeneity of degree two implies that subjective time delay is measured by a log scale and its discount function becomes a hyperbolic type. Second, a method is shown for constructing a model that can reflect subadditive and superadditive discounting. A non-commutative and non-associative concatenation operation is provided to generate a time string consisting of subdivided durations that incorporates the effect of repeated delay with a subdivided duration. The discounting model is yielded by substituting these strings in an exponential model equipped with a generalized time scale, and the determination of subadditivity or superadditivity depends on whether the discount function value of a product by the non-commutative and non-associative operation is, respectively, smaller or greater than that of a product by an operation of the usual extensive structure.
Simulation and Evaluation of Water Resources Management Scenarios Under Climate Change for Adaptive Management of Coastal Agricultural Watersheds
Authors: Lyra Aikaterini , Loukas Athanasios 
Published: December 2022

AbstractThe main objective of this paper is to analyze the impact of climate change on water resources management and groundwater quantity and quality in the coastal agricultural Almyros Basin, in Greece. Intensive groundwater abstractions for irrigation and nitrogen fertilization for crop production maximization, have caused a large water deficit, nitrate pollution, as well as seawater intrusion in the Almyros aquifer system. Multi-model climate projections for Representative Concentration Pathways (RCPs 4.5 and 8.5) from the Med-CORDEX database for precipitation and temperature have been used to evaluate the impacts of climate change on the study area. The multi-model climate projections have been bias-corrected with Delta, Delta change of Mean and Variance, Quantile Delta Change, Quantile Empirical Mapping, and Quantile Gamma Mapping methods, and statistically tested to find the best GCM/RCM multi-model ensemble. Simulation of coastal water resources has been performed using an Integrated Modelling System (IMS) that contains connected models of surface hydrology (UTHBAL), groundwater hydrology (MODFLOW), nitrate leaching/crop growth (REPIC), nitrate pollution (MT3DMS), and seawater intrusion (SEAWAT). The results indicate that the best climate multi-model ensemble consists of three (3) climate models for both RCP4.5 and RCP8.5 using the Quantile Empirical Mapping bias-correction method. The IMS was applied for historical and future periods with observed and simulated meteorological inputs (e.g. precipitation and temperature) and various irrigation and agronomic scenarios and water storage works development (i.e. reservoirs). The results indicate that at least deficit irrigation and deficit irrigation along with rain-fed cultivation schemes, combined with or without the development and operation of reservoirs, should be applied to overcome the degradation of groundwater quality and quantity in the study basin. Based on the findings of this work, the water resources management should be adaptive to tackle the water resources problems of the Almyros Basin.
A Study on the Bending of Laminated Glass Under Blast Loading
Authors: Samieian M.A. , Cormie D. , Smith D. , Wholey W. , Blackman B.R.K. , Dear J.P. , Hooper P.A. 
Published: December 2022

Abstract
Background
The bending behaviour of laminated glass plays an important role in determining its overall response to blast loading. It is costly and difficult to characterise the bending behaviour by carrying out full-scale blast tests, therefore an alternative method is required.

Objective
The objective of this study is to understand the response of laminated glass under high-rate bending in the laboratory at rates representative of blast loading.

Methods
In this paper a novel testing method is presented in which laminated glass strips of 700 mm long by 60 mm wide are tested up to speeds of 10 m/s in the laboratory. The laminated glass is accelerated to speeds comparable to blast loading and then brought to rest at its edges to mimic impulsive blast loading conditions. Different interlayer thickness, impact speeds, and boundary conditions were explored. Additionally, modelling methods were used to study the flexural rigidity of post-cracked laminated glass.

Results
From the experiments it was found that the interlayer thickness plays a key role in determining whether the dominant failure mechanism is de-bonding of interlayer from the glass or interlayer tearing. In addition, it was found that by allowing the frame to bend under loading, the laminated glass can carry greater loads without failure. Finally, an iterative method was used to quantify the flexural rigidity of post-cracked laminated glass depending on the speed of travel. This is a novel finding as it is usually assumed that laminated glass behaves like a membrane in the post-cracked phase of the response.

Conclusion
In modelling and design of laminated glass structures under blast loading, post-crack flexural rigidity must be taken into account. Additionally, having novel frame designs to add further load bearing capacity to the framing members, plays a key role in reducing the load intensity on the laminated glass structure.