bluuebunny/crossref_metadata_2025_split huggingface dataset:
Images that translate
Authors: Vidal Claramonte Mª Carmen África 
Published: December 2023

Abstract
The connection between translation and contemporary art is a hitherto under-researched avenue. Some scholars have analyzed the translation of exhibition catalogue essays (Krein-Kühle 2021) or the museum as a translation site (Sturge 2007; Neather 2008, 2012, 2021; Liao 2018, 2021). Although these are important and necessary research avenues, my aim here is different. I intend to study translation beyond the verb-centric tradition, looking at how artworks have been using translation for decades and how the images used by artists communicate through nonverbal semiotic systems. This will be done by (1) examining the artworks that use words as images (with special emphasis on John Baldessari, Lawrence Weiner, and Robert Barry), (2) by studying how many contemporary artists use translation in their artworks (Ghada Amer, Danica Dakić, Nalini Malani, Mona Hatoum, among others) and (3) by concentrating on exhibitions which deal with translation as a way of looking at the world.
Alyawarr English
Authors: Dixon Sally 
Published: December 2023

Abstract
This paper explores Alyawarr English, a new contact language spoken in Ipmangker, a remote Alyawarr community of
Central Australia. Focusing on language use by children and drawing on a corpus of 50+ hrs of naturalistic video recordings,
several aspects of Alyawarr English are examined in detail. The analysis centres on the origins of nominal and verbal morphology,
with comparison to the patterns of replication evidenced in other new Australian contact languages. This reveals that children’s
Alyawarr English has several points of symmetry with these languages. Nominal inflectional morphology is primarily derived from
Alyawarr sources. Verb morphology is primarily derived from Kriol/English sources. The lexicon is derived from both Kriol/English
and Alyawarr sources. Variation between morphology of Alyawarr and Kriol/English sources is also considered in each domain, to
further elucidate what gets replicated and why in the ongoing development of new Australian contact languages.
The acquisition of consonant clusters and word stress by early second language learners of German
Authors: Grimm Angela , Domahs Ulrike 
Published: December 2023

Abstract
This study compared word-prosodic abilities of early second language learners (eL2) and monolingual learners of
German. We examined the production of word-initial and word-final clusters and the placement of stress and analyzed potential
effects of cross-linguistic influence (CLI). Monolingual German-speaking children (n = 38) and eL2-learners of
German (n = 26; age of onset to German 24 to 41 months) aged between 53 and 60 months completed a pseudoword
repetition task following the metrical and phonotactic constraints of German. We collected background information via parental
questionnaires. The eL2-learners acquired 12 different L1s. To explore the effects of CLI, we grouped the heritage languages by
the number of consonants permitted in word-initial and word-final position, the segmental make-up of clusters, and stress
patterns. The production accuracy of word-initial clusters and word stress was very high, indicating a high degree of maturation
and showing no effects of CLI. In contrast, the production accuracy of word-final clusters was lower and effects of CLI were
found, presumably related to smaller sonority distances compared to word-initial clusters. The study contributes empirically to
the under-investigated area of eL2 word-prosodic development.
Characterization of the electrical properties of MPS schottky structures incorporating Fe doped polyvinyl chloride (PVC)
Authors: Badali Yosef 
Published: December 2023

Abstract
This paper explores the effects of the organic interfacial layer on the electrophysical characteristics of Schottky barrier diodes (SBDs). Three types of SBDs were fabricated: Au-Si (referred to as MS), Au/PVC/Si (referred to as MPS1), and Au-/PVC:Fe/Si (referred to as MPS2). Fe nanopowders were subjected to analysis using XRD, SEM, and EDX techniques to investigate their structural and optical characteristics. To investigate the conduction mechanisms of these diodes, I-V characteristics were examined using thermionic-emission (TE), Cheung, and Norde functions. The surface-state density (N

ss
) distribution of energy was determined by analyzing the current–voltage (IF-VF) curve under forward bias conditions. This analysis considered the voltage-dependent barrier height (BH) and ideality factor (n(V)). The results demonstrated that the polymeric interlayer without Fe nanoparticles reduced N

ss
by a factor of 7, while the presence of Fe nanoparticles led to a two-order magnitude decrease, resulting in improved efficiency in comparison with MS structures. The obtained results indicated that including a polymeric layer in MPS structure enhanced their electrophysical features compared to MS diodes, and significantly increased rectification by 15–45 times. In summary, the existence of an organic interfacial layer significantly altered the conduction mechanisms and electrophysical characteristics of MPS diodes. It was found that the addition of Fe nanoparticles in the interlayer resulted in substantial improvements in N

ss
, efficiency, rectification, and conduction characteristics compared to MS diodes.
Assorted optical soliton solutions of the nonlinear fractional model in optical fibers possessing beta derivative
Authors: Islam M Nurul , Al-Amin M , Akbar M Ali , Wazwaz Abdul-Majid , Osman M S 
Published: December 2023

Abstract
The nonlinear Chen-Lee-Liu (CLL) equation is an important mathematical model that is employed in the evaluation of optical fiber communication systems. It considers several factors such as noise, dispersion, and nonlinearity that might affect the signal quality and data transmission rates in optical fiber networks. The design of optical fiber systems may be optimized by using the CLL model. In this paper, we have examined adequate soliton solutions that can be applied to the optics of the CLL model with a beta derivative utilizing the auxiliary equation and advanced generalized

G'

/

G

-expansion approaches. The bell-shaped, periodic, and other soliton-like properties are displayed in the numerical simulations of the resultant solutions and the necessary forms demonstrated the structure, propagation, and impact of the fractional parameter. The findings of this study show that the applied methodologies are dependable, effective, and competent to create optical soliton solutions for additional complex wave equations in optical fiber communication.
Solvatochromic shifts and solvent effects on the electronic and transport behaviour of 1-Chloro Adamantane
Authors: R Aravindhan , Momeen M Ummal , Hu Jianping 
Published: December 2023

Abstract
Solvent influence on the photophysical and electronic properties of 1-Chloro Adamantane (CAD) are investigated using experimental and computational methods. Measured UV–vis absorption of CAD in various solvents exhibits substantial solvatochromatic shifts with respect to the solvent polarity. As a result of this, optical absorption of CAD undergoes the bathochromic shifts in the nonpolar solvents and hypsochromic shifts in the polar solvents with respect to polarity. Theoretical computations of EOM-CCSD and CIS quantum chemical methods calculated by means of SMD solvation model demonstrate the solvent influence on the electronic structure of CAD which are in good agreement with the experimental results. Computed results show prominent solvation effect on Lewis and non-Lewis occupancies. Large excited state dipole moment of the CAD in various solvation suggests excited states are more polarized than the ground state. In addition to this, molecular polarizabilities and energies of HOMO and LUMO show dominant solvent effects on the chemical reactivity of the CAD upon solvation. This solvent specific behaviour of CAD finds applications in optical filters with its significant hydrophobic nature.
Impact of a nearby subhalo on the constraint of dark matter annihilation from cosmic ray antiprotons*
Authors: Zhao 赵 Yi 熠 , Bi 毕 Xiao-Jun 效军 , Lin 林 Su-Jie 苏杰 , Yin 殷 Peng-Fei 鹏飞 
Published: December 2023

Abstract
Numerous simulations indicate that a large number of subhalos should be hosted by the Milky Way. The potential existence of a nearby subhalo could have important implications for our understanding of dark matter (DM) annihilation. In this study, we investigate the hypothetical presence of a nearby subhalo and set the upper limits on the DM annihilation cross section by analyzing the cosmic-ray antiproton spectrum. By presenting the ratios of annihilation cross section limits for scenarios with and without a nearby subhalo, we can quantitatively evaluate the potential impact of the nearby subhalo on the limits of the DM annihilation cross section. The impacts of the concentration model and the subhalo probability distribution have been considered. We explore the antiproton contribution of the potential nearby DM subhalo accounting for the DAMPE

spectrum at

TeV and find that the current AMS-02 antiproton results do not limit this contribution.
Internal Insulation – four systems in one historic residential building
Authors: Pagoni Panagiota , Møller Eva B. , Hansen Tessa K. 
Published: December 2023

Abstract
Reducing the heat loss from European buildings must include thermal retrofitting of the historic buildings. In these cases, where buildings have facades worthy of preservation, internal insulation is the only solution although external insulation is better hygrothermal solution. Inspections in buildings with internal insulation have in multiple cases shown mold growth problems at the intersection between the original wall and the insulation. Thus, there is a need for real-life testing; i.e., raising the level of reality by using professional craftsmen to apply internal insulation to existing buildings inhabited by ordinary users. Building owners are more likely to accept these solutions when they have been tested in reality, and not only in the lab or with simulations, on efficiency, robustness, and moisture safety. In Denmark, the older, worthy-of-preservation, historic buildings are commonly built with solid masonry facades. Consequently, internal insulation might involve hygrothermal risks for the external walls. The present study describes a case study of a typical historic building built in 1837. In specific, the paper focuses on the top (5th) floor of the building, which is a residential area (a commune). On the 5th floor, four different types of insulation materials were installed in eight different rooms. The performance of the four insulation materials was determined by monitoring the temperature and relative humidity at the intersections between the insulation and the existing wall, as well as the indoor and outdoor climate. Results of the measurements of the available period showed that relative humidity is increasing for most of the sensors, with an exception of a few sensors that appear to have decreased values compared to the first month. Furthermore, the risk of mold growth was calculated with the VTT mold growth model based on performed measurements and indicated minimum to non-existent mold growth risk so far.
Frost Damage Risk in Insulated Masonry Walls: Challenges in Analysing Large Number of Numerical Simulations
Authors: Prignon Martin , Mets Timo De , Vereecken Evy , Tilmans Antoine 
Published: December 2023

Abstract
This paper presents and applies a methodology for conducting and analysing large number of numerical simulations to investigate the risk of frost damage in internally insulated masonry walls. In this context, 2500 simulations were conducted with Delphin 6 software following a full factorial design with six input variables: insulation material, insulation thickness, brick thickness, brick type, interior water vapour production and wall orientation. The methodology is applied to investigate four different aspects: (1) the choice of damage indicator, (2) the impact of critical temperature and moisture content, (3) the location of investigation and (4) the impact of wall properties and boundary conditions on the risk of frost damage. The simulations show a good correlation between the different indicators and point out the large impact of critical values for temperature and moisture content on the risk of frost damage. It also shows that brick type, insulation thickness and orientation are important parameters when looking at the risk of frost damage. Lastly, it suggests that an investigation point at 10 mm from the exterior surface should be preferred rather than the 5 mm generally used in the literature. The main limitation of this study is related to its transferability. On the one hand, transferring the methodology would require a simple adaptation of the statistical model used. On the other hand, transferring the results obtained from applying the methodology is more complicated since those are highly case-related. Further work should focus on the generalization of these conclusions, including – but not limited to – other climatic data and other material properties.
Modelling of mould growth on pine sapwood: the preliminary analysis of input parameters in a logistic mould growth model
Authors: Kopecký Pavel , Staněk Kamil 
Published: December 2023

Abstract
This paper deals with a logistic growth equation which was used for calculations of mould development on wood in time. The values of input parameters were determined by mutual comparisons of the logistic growth equation and synthetic mould growth data. Synthetic mould growth curves were calculated by the Finnish mould growth model for pine sapwood. A transition function between dimensionless mould index (the state variable of the Finnish mould growth model) and microscopic mould coverage fraction (the state variable of the logistic mould growth model) was proposed to facilitate numerical comparisons between both models. The insight to input parameters of the logistic mould growth model was then gained by plotting optimal values of parameters as a function of temperature and relative humidity, or moisture content. The setting of input parameters in mould growth models was then briefly discussed. It is concluded that further development of mould growth models should be based on systematic comparison with mould growth experiments. Not only growth under favourable conditions, but also the regrowth process after desiccation period must be correctly addressed in the model.
Hyperspectral camera technology for detection of fungal growth on building materials
Authors: Kristensen S M , Vanhoutteghem L , Hansen T , Laursen T R 
Published: December 2023

Abstract
Hyperspectral cameras are becoming more widely and frequently used as a valuable tool within different industries, from plant inspections to garbage sorting and used in the food and medical industry. However, the building industry has yet to embrace this technology, even though there are many potential benefits for application e.g., in building investigations. With a hyperspectral camera, it is possible to achieve a better colour characteristic than with an ordinary camera, allowing minor variations in the reflected colour spectra to be identified. As the growth of different fungal species reflects different colours, the current study investigates, if a hyperspectral camera can be used for detection of fungal growth on building materials.
A hyperspectral camera was used on a series of gypsum board samples, to test if fungal growth of three different species could be detected, and if fungal growth not yet visible to the human eye could be detected. The results showed that it was possible, with use of hyperspectral imaging, to detect fungal growth on the surface of the samples, and to distinguish between the three different fungal species. Also, it was possible to detect the early stages fungal growth before they were visible to the human eye.
Water uptake of porous building materials with extremely small air entrapment effects
Authors: Fukui Kazuma , Takada Satoru 
Published: December 2023

Abstract
When a porous material is near capillary saturation, entrapped air is expected to affect water transfer through the pores. Based on the results of water absorption tests at reduced air pressure, Janssen et al. (Energy Procedia, 2015) demonstrated that air entrapment prevents water absorption above capillary saturation. In this study, to understand the air entrapment effects on water transfer in the high-water-saturation region, we further examined the water transfer characteristics corresponding to extremely small air entrapment effects. First, using three common porous building materials, water uptake experiments were conducted at low air pressure near vacuum (several kilopascals), and the time evolution of the water absorption was measured. The results show that low air pressure accelerates water uptake by brick and aerated concrete specimens, whereas the water uptake by calcium silicate board specimens is not significantly affected. These differences among the materials are discussed from the viewpoint of the pore structure. Furthermore, the results of simultaneous water and air transfer calculations confirm that air entrapment and pressure development in the pores can significantly reduce the rate of water uptake and the water content that a material can reach after capillary absorption.
In-situ characterization of the relative humidity at the surface of building materials
Authors: Andersen Helle Vibeke , Morelli Martin , Hansen Tessa Kvist , Peuhkuri Ruut 
Published: December 2023

Abstract
Standardized laboratory testing is normally used for characterization of building materials and components. In real life, especially when assessing buildings in terms of water-damaged building materials, built-in moisture, rising damp or other problems, information on the hygrothermal state of the constructions may be relevant, but is often sparse. This paper presents a study where application of a newly developed non-destructive experimental method is used to measure the relative humidity (RH) at the surface of four types of building materials. Knowing the RH at the surface, a risk assessment of fungal growth can be made. The materials include concrete, brick, aerated concrete, and gypsum, with and without a surface treatment. The method is based on the idea of establishing a water vapor transport towards equilibrium within a small air volume in contact with the surface of interest. In the laboratory the specimens were conditioned at respectively 65 % RH and 90 % RH in a climate chamber, and then transferred to conditions with 50 % RH. The open side of a Petri dish, equipped with a temperature and relative humidity sensor, was attached to the materials using reusable adhesive. The development of the relative humidity over time within the petri dish was monitored and parameterized mathematically, solving an exponential rate equation. The parameterization and certain sets of assumptions allow among other things a calculation of time to equilibrium which makes it possible to assess the reproducibility and comparison in between materials. As the materials were tested with and without surface treatment, it was possible to estimate the effect of a typical surface treatment on the moisture transport. The measurements compared well to simulations made by a model, though the model predicts slightly faster achievement of equilibrium. Despite the limited number of cases in the current study, the presented results are promising with regards to enable rough estimates of RH at the surface of building materials outside the laboratory with a very simple, inexpensive, and non-destructive method.
Development of Plugins for seamless Integration of the SIMULTAN Meta Data Model with IDA-ICE and RFEM 6
Authors: Steiner Bernhard , Sarkany Andreas , Járosi Zsombor , Paskaleva Galina , Bednar Thomas , Bauer Christoph 
Published: December 2023

Abstract
SIMULTAN ComponentBuilder plugins enable individualized development of connections to simulation tools, easing data management of the simulation-driven interdisciplinary planning processes in civil engineering. The Software Development Kit (SDK) is an integral part of ongoing research projects, which aim to exhibit and expand the capability of the SIMULTAN Meta Data Model. The goal is to store digital information necessary for the planning processes in civil engineering and operation and operational performance analysis of buildings via digital twins. A theoretical outline of the plugin structure is given, and the usability of the SDK is shown by presenting two example plugins. Two plugins were developed to enable seamless integration with the proprietary simulation software IDA ICE and RFEM 6 within the same data model. Furthermore, it is shown that the existing data in the SIMULTAN Data Model can be reused by utilizing already existing information and avoiding duplication. Limitations of the SDK will be explained, and concepts for future data model extensions will be discussed. The development and deployment of the two plugins show the benefits of using a Big-open-real-BIM Data Model for civil engineering planning processes, enabling individualization and workflow-enhancing expansion.
Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach
Authors: Yu Haitao , Feng Kailun , Penaka Santhan Reddy , Man Qingpeng , Lu Weizhuo , Olofsson Thomas 
Published: December 2023

Abstract
Building performance simulation (BPS) based on physical models is a popular method for estimating the expected energy savings from energy-efficient building retrofitting. However, for many buildings, especially older buildings, built several decades ago, an operator do not have full access to the complete information for the BPS method. Incomplete information comes from the lack of detailed building physics, such as the thermal transmittance of some building components due to the deterioration of components over time. To address this challenge, this paper proposed a data-driven approach to support the decision-making of building retrofitting selections under incomplete information conditions. The data-driven approach integrates the backpropagation neural networks (BRBNN), fuzzy C-means clustering (FCM), and generative design (GD). It generates the required big database of building performance through generative design, which can overcome the problem of incomplete information during building performance simulation and energy-efficient retrofitting. The case study is based on old residential buildings in severe cold regions of China, using the proposed approach to predict energy-efficient retrofitting performance. The results indicated that the proposed approach can model the performance of residential buildings with more than 90% confidence, and show the variation of results. The core contribution of the proposed approach is to provide a way of performance prediction of individual buildings resulting from different retrofitting measures under the incomplete physics condition.