bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration on Diversity Generation of Campus Layout Based on GAN
Authors: Liu Yubo , Zhang Zhilan , Deng Qiaoming 
Published: April 2023

Abstract
Previous studies have shown that GAN has made some progress in the generation of campus layout plan, but the result is single output for single input condition. This paper hopes to make some attempts and explorations on the diversity generation of campus planning layout design by machine learning. Based on Pix2Pix model, this paper proposes a method to divide image channels so that both the campus function bubble diagram and the site boundary can both become the input conditions. There is a strong correspondence between the campus functional bubble diagram and the campus layout. The main idea of this study is to control the generated results by changing the input of the campus functional bubble diagram, so that we can have a diversity layout of campus according to the same site conditions. In the experiment, we train thirty samples of campus planning layout design, and finally evaluate the generated results in a qualitative and quantitative way, which proves that the generated results are relatively ideal. This research enables designers to participate in the process of machine learning generative design to control the generation results.
Co-creation: Space Reconfiguration by Architect and Agent Simulation Based Machine Learning
Authors: Dai Anni 
Published: April 2023

Abstract
This research is a manifestation of architectural co-creation between agent simulation based machine learning and an architect’s tacit knowledge. Instead of applying machine learning brains to agents, the author reversed the idea and applied machine learning to buildings. The project used agent simulation as a database, and trained the space to reconfigure itself based on its distance to the nearest agents. To overcome the limitations of machine learning model’s simplified solutions to complicated architectural environments, the author introduced a co-creation method, where an architect uses tacit knowledge to overwatch and have real-time control over the space reconfiguration process. This research combines both the strength of machine learning’s data-processing ability and an architect’s tacit knowledge. Through exploration of emerging technologies such as machine learning and agent simulation, the author highlights limitations in design automation. By combining an architect’s tacit knowledge with a new generation design method of agent simulation based machine learning, the author hopes to explore a new way for architects to co-create with machines.
Soft Pneumatic Robotic Architectural System: Prefabricated Inflatable Module-Based Cybernetic Adaptive Space Model Manipulated Through Human-System Interaction
Authors: Wang Si-Yuan Rylan 
Published: April 2023

Abstract
In this paper, a cybernetic adaptive space model based on prefabricated inflatable modules and physical interaction manipulation is introduced. The research aimed to redefine an intelligent and organic trend of residing and working by providing an adjustable and performative space system. The conjunction of human-space interaction, as well as the soft and hard architectural elements adaptive to dynamic living modalities and environmental conditions, are included in the methodology. The datasets based on the human body posture are collected through IMU sensors to provide coding inputs for defining modular inflatable structures, which anticipate generating heterogeneous morphological variations apt for flexible scenarios. The elaborated pre-fabricated samples successfully conform to the expected inflating behavior through silicone patterns. The results demonstrated the possibility of future architecture as an unrestrained configuration. Integrating the shape-shifting space within modular manufacturing and interactive technology can deprive the performance of many constraints. It can render a responsive ecosystem through a behavioral transformation of the in-habitants.
Fabrication of Reinforced 3D Concrete Printing Formwork
Authors: Luo Jiaxiang , Gao Tianyi , Yuan Philip F. 
Published: April 2023

Abstract
In recent years, the emerging 3D printing concrete technology has been proved to be an effective and intelligent strategy compared with conventional casting concrete construction. Due to the principle of additive manufacturing strategy, this concrete extrusion technique creates great opportunities for designing freeform geometries for surface decoration since this material has a promising performance of high compressive strength, low deformation, and excellent durability. However, the structure behavior is usually questioned, defined by the thickness and printing path. At the same time, the experiments for using 3D printing elements for structural and functional parts are still insufficient. Little investigation has been made into developing reinforcement strategies compatible with 3D printing concrete. In fact, conventional formwork and easy-to-install reinforcement support structures have various advantages in terms of labor costs but can hardly be reused. Thus, using 3D concrete printing as formwork for projects in different scales is an effective solution in the mass customized prefabrication era. Considering large-scale projects, the demand to provide concrete formwork with a proper reinforcement strategy for better toughness, flexibility, and strength is necessary. In this paper, we proposed different off-site reinforced 3D printing concrete strategies and evaluated them from time and material cost, deviation, and accessibility of fabrication.
Knowledge Graphs: Opportunities and Challenges
Authors: Peng Ciyuan , Xia Feng , Naseriparsa Mehdi , Osborne Francesco 
Published: April 2023

AbstractWith the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately. As graph data, knowledge graphs accumulate and convey knowledge of the real world. It has been well-recognized that knowledge graphs effectively represent complex information; hence, they rapidly gain the attention of academia and industry in recent years. Thus to develop a deeper understanding of knowledge graphs, this paper presents a systematic overview of this field. Specifically, we focus on the opportunities and challenges of knowledge graphs. We first review the opportunities of knowledge graphs in terms of two aspects: (1) AI systems built upon knowledge graphs; (2) potential application fields of knowledge graphs. Then, we thoroughly discuss severe technical challenges in this field, such as knowledge graph embeddings, knowledge acquisition, knowledge graph completion, knowledge fusion, and knowledge reasoning. We expect that this survey will shed new light on future research and the development of knowledge graphs.
Parents’ experiences of mathematics learning at home during the COVID-19 pandemic: a typology of parental engagement in mathematics education
Authors: Murphy Steve , Danaia Lena , Tinkler Jacquie , Collins Fiona 
Published: April 2023

AbstractThe COVID pandemic disrupted the schooling of students worldwide resulting in many having had a period of at-home learning. Many parents found themselves assuming responsibility for supporting their children’s at-home learning. Parents often find it difficult to support their children’s mathematics learning compared with other curriculum areas. There has been limited research exploring parental engagement in mathematics education generally, and little into parental engagement in mathematics education during the COVID pandemic. This paper examines how parents supported their child’s mathematics education during the school closures and identifies the factors that impacted this engagement. The Ecologies of Parental Engagement (EPE) model was used to help describe the engagement of different parents in mathematics education during the school closures and to examine the way the home space and available capital shaped parental engagement. Eight parents were selected from a larger Australian study that explored the impact of the pandemic-induced period of at-home schooling on primary school mathematics and science. One-on-one narrative interviews were conducted online with participants. Analysis identified three categories of parental engagement: monitors, facilitators, and enhancers. Parents in each category responded to their role in at-home learning differently, and accessed and activated different capital to support their child’s at-home learning in mathematics during the pandemic. Results highlight the value of emotional capital, as well as knowledge of mathematics and mathematics education, with implications for schools hoping to engage parents in mathematics learning. The study offers a typology to be explored in future research concerning parental engagement in mathematics education.
Accurate Measurements of the Thermal Conductivity of n-Docosane, n-Tetracosane, 1,6-Hexanediol, and 1,8-Octanediol in the Solid and Liquid Phases
Authors: Velliadou Danai , Antoniadis Konstantinos D. , Assimopoulou Andreana N. , Assael Marc J. , Sequeira Maria Carolina Margarido , Wakeham William A. 
Published: April 2023

AbstractNew measurements of the thermal conductivity of n-docosane, n-tetracosane, 1,6-hexanediol, and 1,8-octanediol, in the solid and liquid phase, are presented. The technique employed is the transient hot-wire technique, based on a full theoretical model. The technique is absolute and is characterized by an uncertainty of 1%. At the 95% confidence level, the standard deviations of the thermal conductivity measurements of n-docosane, are 0.40% for the solid phase (267 K to 308 K), and 0.60% for the liquid phase (330 K to 360 K); of n-tetracosane, 0.60% for the solid phase (265 K to 306 K), and 0.30% for the liquid phase (339 K to 363 K); of 1,6-hexanediol, 0.70% for the solid phase (263 K to 296 K), and 0.40% for the liquid phase (327 K to 351 K); and of 1,8-octanediol 1.1% for the solid phase (265 K to 312 K), and 0.50% for the liquid phase (344 K to 356 K), respectively.
Career experts' conceptions of systems development in lifelong guidance
Authors: Kettunen Jaana , Barnes Sally-Anne , Bimrose Jenny , Brown Alan , Vuorinen Raimo 
Published: April 2023

AbstractThis article reports the findings from a phenomenographic study of career experts’ conceptions of systems development in lifelong guidance settings. The results show that conceptions of systems development in lifelong guidance varied from minimal, aspirational, strategic to systemic. By exploring the logical relationship between qualitatively different conceptions, it provides policymakers and other stakeholders with a way of holistically viewing the varying levels of lifelong guidance systems development. The matrix presented in this article may serve as a catalyst for reflection on crucial elements, such as legislation, leadership and cooperation, that have the potential to improve systems development in lifelong guidance.
The value of platelet-rich plasma in women with previous implantation failure: a systematic review and meta-analysis
Authors: Maged Ahmed M. , El-Mazny Akmal , Kamal Nada , Mahmoud Safaa I. , Fouad Mona , El-Nassery Noura , Kotb Amal , Ragab Wael S. , Ogila Asmaa I. , Metwally Ahmed A. , Fahmy Radwa M. , Saad Hany , Shaeer Eman K. , Salah Noha , Lasheen Yossra 
Published: April 2023

Abstract
Objective
To assess the value of intrauterine PRP to improve IVF outcome in women with previous implantation failure.

Methods
Screening of Pubmed, Web of Science, and other databases from inception to August 2022 using the keywords related to “platelet-rich plasma” OR “PRP” AND “IVF” “implantation failure.” Twenty-nine studies (3308 participants) were included in our analysis, 13 were RCTs, 6 were prospective cohorts, 4 were prospective single arm, and 6 were retrospective analyses. Extracted data included settings of the study, study type, sample size, participants’ characteristics, route, volume, timing of PRP administration, and outcome parameters.

Results
Implantation rate was reported in 6 RCTs (886 participants) and 4 non-RCTs (732 participants). The odds ratio (OR) effect estimate was 2.62 and 2.06, with 95% CI of 1.83, 3.76, and 1.03–4.11, respectively. Endometrial thickness was compared in 4 RCTs (307 participants) and 9 non-RCTs (675 participants), which showed a mean difference of 0.93 and 1.16, with 0.59–1.27 and 0.68–1.65 95% CI, respectively.

Conclusion
PRP administration improves implantation, clinical pregnancy, chemical pregnancy, ongoing pregnancy, live birth rates, and endometrial thickness in women with previous implantation failure.
Comparative study on the corrosion behaviour of CNT-reinforced NiAl alloys in NaCl and Na2SO4 solutions
Authors: Netshia Mukhethwa , Mahlobo Mandlenkosi G. R. , Awotunde Mary A. , Olubambi Peter A. 
Published: April 2023

AbstractVarious electrochemical techniques were used to study the corrosion behaviour of the CNT-reinforced NiAl alloys under NaCl and Na2SO4 environments. The potentiodynamic polarization curves revealed activation Tafel behaviour when the NiAl alloy specimens were immersed in NaCl solution while passivation followed by slight development of transpassivation resulted under Na2SO4 environment. The reinforcement of pure NiAl alloy with up to 1.0 wt.% CNT increased the corrosion rate from 0.10 to 0.63 mm/yr under NaCl environment, while under Na2SO4 environment, the corrosion rate increased from 0.04 to 0.12 mm/yr. The observed increase in corrosion rate with an increase in CNT reinforcement (under both NaCl and Na2SO4 environments) suggested that the reinforcement of NiAl alloys with CNT reduced the corrosion resistance of NiAl. The X-ray diffraction analysis revealed that the corrosion products consisted of oxides including Al2O3 under NaCl environment, while scanning electron microscope analysis showed a porous passive layer on the surface of the alloy specimens immersed in Na2SO4 solution.

Graphical abstract
Caregiver preferences for physically harsh discipline of children in rural Uganda
Authors: Satinsky Emily N. , Kakuhikire Bernard , Baguma Charles , Cooper-Vince Christine E. , Rasmussen Justin D. , Ashaba Scholastic , Perkins Jessica M. , Ahereza Phionah , Ayebare Patience , Kim Andrew W. , Puffer Eve S. , Tsai Alexander C. 
Published: April 2023

Abstract
Purpose
Physically harsh discipline is associated with poor developmental outcomes among children. These practices are more prevalent in areas experiencing poverty and resource scarcity, including in low- and middle-income countries. Designed to limit social desirability bias, this cross-sectional study in rural Uganda estimated caregiver preferences for physically harsh discipline; differences by caregiver sex, child sex, and setting; and associations with indicators of household economic stress and insecurity.

Method
Three-hundred-fifty adult caregivers were shown six hypothetical pictographic scenarios depicting children whining, spilling a drink, and kicking a caregiver. Girls and boys were depicted engaging in each of the three behaviors. Approximately half of the participants were shown scenes from a market setting and half were shown scenes from a household setting. For each scenario, caregivers reported the discipline strategy they would use (time out, beating, discussing, yelling, ignoring, slapping).

Results
Two thirds of the participants selected a physically harsh discipline strategy (beating, slapping) at least once. Women selected more physically harsh discipline strategies than men (b = 0.40; 95% confidence interval [CI], 0.26 to 0.54). Participants shown scenes from the market selected fewer physically harsh discipline strategies than participants shown scenes from the household (b = -0.51; 95% CI, -0.69 to -0.33). Finally, caregivers selected more physically harsh discipline strategies in response to boys than girls. Indicators of economic insecurity were inconsistently associated with preferences for physically harsh discipline.

Conclusions
The high prevalence of physically harsh discipline preferences warrant interventions aimed at reframing caregivers’ approaches to discipline.
Clinical Correlates of Sports Betting: A Systematic Review
Authors: Valenciano-Mendoza Eduardo , Mora-Maltas Bernat , Mestre-Bach Gemma , Munguía Lucero , Richard Jérémie , Derevensky Jeffrey L. , Potenza Marc N. , Jiménez-Murcia Susana 
Published: April 2023

AbstractSports betting is becoming increasingly widespread, and a growing number of individuals, both adolescents and adults, participate in this type of gambling. The main aim of this systematic review was to assess correlates of sports betting (sociodemographic features, gambling-related variables, co-occurring psychopathologies, and personality tendencies) through a systematic review conducted following the PRISMA guidelines. Relevant studies were identified via searches of NCBI/PubMed and APA PsycInfo databases. Individuals from the general population and/or with a clinical diagnosis of gambling disorder (GD) were included, irrespective of gender and age. In addition, the studies needed to have administered at least one clinical interview/psychometric instrument to assess the presence of problematic gambling/GD, contain at least one group of participants with sports betting, and directly analyze the association between sports betting and any of the following features: sociodemographics, gambling-related variables, co-occurring psychopathologies, and/or personality tendencies. Fifty-four articles were included. Multiple sociodemographic variables have been studied in relation to sports betting. In general, males with high impulsivity have greater tendencies for sports betting. The co-occurrence of certain pathologies, especially substance use or other addictive disorders, was also suggested. Most studies were cross-sectional, assessed participants using self-administered instruments, recruited samples using non-probability online panels, included small samples, had unbalanced samples, and included samples from only one country. Impulsive males may be particularly prone to sports gambling and related problems. Future research should examine prevention strategies that may help prevent the development of sport-betting-related GD and other addictive behaviors in vulnerable individuals.
Prerequisites for coexistence: human pressure and refuge habitat availability shape continental-scale habitat use patterns of a large carnivore
Authors: Oeser Julian , Heurich Marco , Kramer-Schadt Stephanie , Andrén Henrik , Bagrade Guna , Belotti Elisa , Bufka Luděk , Breitenmoser-Würsten Christine , Černe Rok , Duľa Martin , Fuxjäger Christian , Gomerčić Tomislav , Jędrzejewski Włodzimierz , Kont Raido , Koubek Petr , Kowalczyk Rafał , Krofel Miha , Krojerová-Prokešová Jarmila , Kubala Jakub , Kusak Josip , Kutal Miroslav , Linnell John D. C. , Mattisson Jenny , Molinari-Jobin Anja , Männil Peep , Odden John , Okarma Henryk , Oliveira Teresa , Pagon Nives , Persson Jens , Remm Jaanus , Schmidt Krzysztof , Signer Sven , Tám Branislav , Vogt Kristina , Zimmermann Fridolin , Kuemmerle Tobias 
Published: April 2023

Abstract
Context
Adjustments in habitat use by large carnivores can be a key factor facilitating their coexistence with people in shared landscapes. Landscape composition might be a key factor determining how large carnivores can adapt to occurring alongside humans, yet broad-scale analyses investigating adjustments of habitat use across large gradients of human pressure and landscape composition are lacking.

Objectives
Here, we investigate adjustments in habitat use by Eurasian lynx (Lynx lynx) in response to varying availability of refuge habitats (i.e., forests and rugged terrain) and human landscape modification.

Methods
Using a large tracking dataset including 434 individuals from seven populations, we assess functional responses in lynx habitat use across two spatial scales, testing for variation by sex, daytime, and season.

Results
We found that lynx use refuge habitats more intensively with increasing landscape modification across spatial scales, selecting forests most strongly in otherwise open landscapes and rugged terrain in mountainous regions. Moreover, higher forest availability enabled lynx to place their home ranges in more human-modified landscapes. Human pressure and refuge habitat availability also shaped temporal patterns of lynx habitat use, with lynx increasing refuge habitat use and reducing their use of human-modified areas during periods of high exposure (daytime) or high vulnerability (postnatal period) to human pressure.

Conclusions
Our findings suggest a remarkable adaptive capacity of lynx towards human pressure and underline the importance of refuge habitats across scales for enabling coexistence between large carnivores and people. More broadly, we highlight that the composition of landscapes determines how large carnivores can adapt to human pressure and thus play an important role shaping large carnivore habitat use and distributions.
Bananas: multi-edge graphs and their Feynman integrals
Authors: Kreimer Dirk 
Published: April 2023

AbstractWe consider multi-edge or banana graphs $$b_n$$

b
n

on n internal edges $$e_i$$

e
i

with different masses $$m_i$$

m
i

. We focus on the cut banana graphs $$\Im (\Phi _R(b_n))$$

ℑ
(

Φ
R

(

b
n

)

)

from which the full result $$\Phi _R(b_n)$$

Φ
R

(

b
n

)

can be derived through dispersion. We give a recursive definition of $$\Im (\Phi _R(b_n))$$

ℑ
(

Φ
R

(

b
n

)

)

through iterated integrals. We discuss the structure of this iterated integral in detail. A discussion of accompanying differential equations, of monodromy and of a basis of master integrals is included.
Structural, optical, photoluminescence and magnetic investigation of doped and Co-doped ZnO nanoparticles
Authors: Sedky A. , Afify N. , Almohammedi Abdullah , Ibrahim E. M. M. , Ali Atif Mossad 
Published: April 2023

AbstractWe report here the structural, optical, photoluminescence (PL), and magnetic investigation of Zn1−x−yFexMyO nanoparticles. The lattice constants and crystallite size are decreased by Fe, followed by a further decrease up to (Fe + M) = 0.30. A compressive stress is approved and the size of particle is between 180 and 277 nm and follows the sample order of ZnO, (Fe + Cu), (Fe + Ni), and Fe. Although a single value of energy gap (Eg) is found for pure and Fe-doped ZnO, two values of Eg (Egh and Egl) are found for the co-doped samples. The Eg is generally increased by Fe, followed by a further increase for the Cu-series, whereas it is decreased for the Ni-series. The refractive indices nK and nT proposed by different methods are generally decreased by Fe, followed by a further decrease for both series. Although Fe doped ZnO depressed the density of carriers (N/m*), it increased again for the co-doped samples. The residual dielectric constant ϵL is decreased by Fe, followed by an increase for the Cu-series, but it is decreased for the Ni-series. The loss factor tan δ increases slightly with Fe, followed by an increase for the Ni-series, but it decreases in the Cu-series. A significant depression of optical conductivity σopt by Fe was obtained, followed by a further decrease which is higher for the Cu-series. The PL shows four visible emissions. Interestingly, an IR emission at about 825 nm is only obtained for the co-doped samples. Furthermore, the blue emission (Iblue) was higher than UV (IUV), [(Iblue/IUV) > 1], but it is greater for the Ni series than the Cu. Although ZnO exhibits diamagnetic behavior, the Fe and co-doped samples exhibit ferromagnetic with higher magnetization for the Ni-series than the Cu. The current results recommend the co-doped samples in nanoscale for some of advanced devices.