bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relational Persistent Homology for Multispecies Data with Application to the Tumor Microenvironment
Authors: Stolz Bernadette J. , Dhesi Jagdeep , Bull Joshua A. , Harrington Heather A. , Byrne Helen M. , Yoon Iris H. R. 
Published: September 2024

AbstractTopological data analysis (TDA) is an active field of mathematics for quantifying shape in complex data. Standard methods in TDA such as persistent homology (PH) are typically focused on the analysis of data consisting of a single entity (e.g., cells or molecular species). However, state-of-the-art data collection techniques now generate exquisitely detailed multispecies data, prompting a need for methods that can examine and quantify the relations among them. Such heterogeneous data types arise in many contexts, ranging from biomedical imaging, geospatial analysis, to species ecology. Here, we propose two methods for encoding spatial relations among different data types that are based on Dowker complexes and Witness complexes. We apply the methods to synthetic multispecies data of a tumor microenvironment and analyze topological features that capture relations between different cell types, e.g., blood vessels, macrophages, tumor cells, and necrotic cells. We demonstrate that relational topological features can extract biological insight, including the dominant immune cell phenotype (an important predictor of patient prognosis) and the parameter regimes of a data-generating model. The methods provide a quantitative perspective on the relational analysis of multispecies spatial data, overcome the limits of traditional PH, and are readily computable.
Additive manufacturing of interlocking glass masonry units
Authors: Massimino Daniel , Townsend Ethan , Folinus Charlotte , Stern Michael , Becker Kaitlyn 
Published: September 2024

AbstractIn comparison to traditional glass casting, glass additive manufacturing (AM) presents an opportunity to increase design flexibility and reduce tooling costs for the production of highly variable geometries. While the latter has been extensively explored for masonry units, there is minimal research on the former for its viability to produce structural building components. This paper encompasses design, manufacturing, and experimental testing to assess the feasibility of using glass AM to produce interlocking masonry units for the construction industry. The glass 3D printer employed in this study is capable of printing a maximum volume of 32.5 $$\times $$
×
32.5 $$\times $$
×
38 cm–suitable for producing full-size masonry units. As part of this work, we discuss how to adapt design guidelines for glass AM to produce interlocking units. To evaluate fabrication ease and structural performance, three fabrication methods, Fully Hollow, Print-Cast, and Fully Printed, are compared. To compare the accuracy, repeatability, and structural capacity of each masonry unit, geometric analysis, surface roughness, and mechanical testing is conducted. Results varied by fabrication method, with average strength ranging from 3.64$$-$$
-
42.3 MPa for initial fracture and 64.0–118 MPa for ultimate strength. Accuracy in print dimensions was less than 1 mm with a standard deviation of 0.14–1.6 mm. Results demonstrated that Fully Hollow masonry units provide a more immediate path to implementation, while Fully Printed units have the potential to provide an entirely glass, transparent, and circular building component fabrication method.
Mapping and visualizing global knowledge on planetary health in the climate change context: a comprehensive exploration of insights, trends, and research priorities
Authors: Zyoud Shaher , Zyoud Ahed H. 
Published: September 2024

AbstractClimate change presents a substantial global threat to human health and wellbeing. Planetary health, an emerging field, provides a comprehensive framework to comprehend the intricate interplay between ecological stability, human health, and ecosystems, particularly within the context of climate change. This study investigates the planetary health perspective on climate change by exploring global knowledge. The Scopus database is used as the source of data. The analysis encompassed a performance evaluation aimed at scrutinizing both quantitative and qualitative indicators. Visualization techniques utilizing VOSviewer software were deployed to analyze collaboration patterns, co-citation links among prominent knowledge-sharing platforms, and key topics derived from keyword co-occurrence matrices. Additionally, using SciMAT software, the study conducted thematic evolution and intellectual analyses to identify both driving and emerging themes, while also examining coherence among different themes across various periods. The study also explores policy implications, and the relevance of COVID-19 in the context of planetary health and climate change. Through this analysis, 261 relevant publications are identified, with the United States being the leading contributor (90 documents; 34.5% of publications). At the institutional level, the Australian National University secured the top position, representing 4.6% of the total with 12 documents. The Lancet Planetary Health journal was the most prolific source, contributing 15 documents (5.7%). In terms of impact, The Lancet journal held a central position as the most cited source. The primary funding organization was the Wellcome Trust, based in the United Kingdom. Motor themes shaping the future of this field include vector-borne diseases, human demographics, informal settlements, air pollution, carbon footprint of animal-based foods, and pro-environmental attitudes and behaviors. The study underscores the significance of leveraging the momentum surrounding infectious diseases like COVID-19 and the impacts of climate change to advance planetary health concepts. Integration of the social sciences and enhanced multidisciplinary cooperation are crucial for progress. Additionally, increased funding for developing countries, and legislative empowerment are essential to foster further research.
Demographic change, secular stagnation, and inequality: automation as a blessing?
Authors: Jacobs Arthur , Heylen Freddy 
Published: September 2024

Abstract
We study whether the increased adoption of available automation technologies allows economies to avoid the negative effect of aging on per capita output. We develop a quantitative theory in which firms choose to which extent they automate in response to a declining workforce and rising old-age dependency. An important element in our model is the integration of two capital types: automation capital that acts as a substitute to human labor, and traditional capital that is a complement to labor. Empirically, our model's predictions largely match data regarding automation (robotization) density across OECD countries. Simulating the model, we find that aging-induced automation only partially compensates the negative growth effect of aging in the absence of technical progress in automation technology. One reason is that automated tasks are no perfect substitutes for non-automated tasks. A second reason is that automation raises the interest rate and thus inhibits positive behavioral reactions to aging (later retirement and investment in human capital). Moreover, increased automation generates a falling net labor share of income and rising welfare inequality. We evaluate alternative policy responses to cope with this inequality.
Turn Around, Don’t Drown: A Systematic Review of Risk Factors for Motor Vehicle–Related Drowning in Floods and its Preventive Strategies
Authors: Haghdoost Zahra , Yousefzadeh-Chabok Shahrokh , Homaie Rad Enayatollah 
Published: September 2024

Abstract

Objective
Exposure to flood, one of the most widespread disasters caused by natural hazards, increases the risk of drowning. Driving through flooded waterways is a cause of death due to flood-related drowning, especially in flood-prone areas. This study aimed at identifying the risk factors for motor vehicle–related drowning in floods and its prevention strategies.

Methods
International and national databases (WOS, PubMed, Scopus, Google Scholar, Magiran, and SID) were searched in the time span from 2000 to 2022. The studies investigating the risk factors relevant to land motor vehicle–related drowning in floods and its prevention strategies were included and analyzed using thematic content analysis.

Results
In 14 eligible studies, risk factors for land motor vehicle–related drowning in floods were identified and categorized in 3 subthemes: driver (3 categories: socio-demographic characteristics, knowledge and attitude, and beliefs); technology (1 category: land motor vehicles); and environment (2 categories: physical and socio-economic environment). Physical and structural measures (1 category: road safety improvement) and nonstructural measures (4 categories: research and education and raising awareness, risk management, promoting social-cognitive beliefs, and reconstruction and improvement of legal infrastructure) were proposed as drowning prevention strategies.

Conclusions
The knowledge, attitude, and belief of the driver; the vehicle; and the environment were the most important risk factors of driving through flooded waterways. These factors should be considered when designing programs and physical and structural strategies for future interventions to curb this dangerous and potentially fatal driving behavior.
Design Criteria of Shelter Hospitals in Response to Biological Accidents: A Systematic Review
Authors: Moradi Maryam , Sharififar Simintaj , Zareiyan Armin , Hoseyni Shokuh Seyyed-Javad , Nasiri Ali 
Published: September 2024

Abstract

Background
The appropriate response to mass causality biological events requires well-established preparedness and providing a surge capacity. In such a situation, a practical solution is to convert large public venues into shelter hospitals. Due to the lack of a guideline for the transformation of a large public center into a hospital, the present study collected the design criteria for the transformation of public buildings into shelter hospitals in response to biological events such as epidemics or mass causality biological accidents.

Methods
The keywords were searched in Scopus, Web of Science, and PubMed databases until November 2021. This systematic review was conducted using terms related to mass causality biological accidents, shelter hospitals, and design criteria.

Results
Of 1802 extracted articles, duplicates (n = 280) and unrelated publications (n = 1342) were left out in the initial evaluation. Among 180 remained papers, 29 records satisfied our criteria after reviewing abstracts and full texts. Most of the included studies were related to the transformation of public venues into hospitals in response to the coronavirus disease 2019 (COVID-19) pandemic. The investigated themes included site selection, layout and structure, waste and wastewater management, ventilation, communication, food and medicine delivery, humanitarians and social supports, post-treatment care, and Management measures.

Conclusions
In summary, large public venues are highly recommended alternatives for surge capacity in response to mass causality biological accidents. However, the main challenges for using these centers are the provision of basic requirements such as water and electricity, ventilation, and available space.
DCG-GAN: design concept generation with generative adversarial networks
Authors: Ghasemi Parisa , Yuan Chenxi , Marion Tucker , Moghaddam Mohsen 
Published: September 2024

Abstract
Generative adversarial networks (GANs) have recently been proposed as a potentially disruptive approach to generative design due to their remarkable ability to generate visually appealing and realistic samples. Yet, we show that the current generator-discriminator architecture inherently limits the ability of GANs as a design concept generation (DCG) tool. Specifically, we conduct a DCG study on a large-scale dataset based on a GAN architecture to advance the understanding of the performance of these generative models in generating novel and diverse samples. Our findings, derived from a series of comprehensive and objective assessments, reveal that while the traditional GAN architecture can generate realistic samples, the generated and style-mixed samples closely resemble the training dataset, exhibiting significantly low creativity. We propose a new generic architecture for DCG with GANs (DCG-GAN) that enables GAN-based generative processes to be guided by geometric conditions and criteria such as novelty, diversity and desirability. We validate the performance of the DCG-GAN model through a rigorous quantitative assessment procedure and an extensive qualitative assessment involving 89 participants. We conclude by providing several future research directions and insights for the engineering design community to realize the untapped potential of GANs for DCG.
Caregiver-reported barriers to engagement in a paediatric fresh fruit and vegetable prescription programme
Authors: Saxe-Custack Amy , Egan Sarah , Farmer Bridget , Pulka Kimberly , Sampson Anna 
Published: September 2024

Abstract
Paediatric fruit and vegetable prescription programmes hold promise in improving food security and dietary patterns among youth. However, programme success is largely dependent upon caregiver and family engagement. The current study sought to gain a better understanding of environmental barriers to engagement in a paediatric fruit and vegetable prescription programme in one low-income, urban community (Flint, Michigan, USA). Following the implementation of a paediatric fruit and vegetable prescription programme, researchers conducted thirty-two semi-structured interviews with caregivers. Researchers explored caregivers’ understanding of the fruit and vegetable prescription programme, barriers to programme engagement, and recommendations for improvement. Telephone interviews were transcribed for textual analysis. Researchers used thematic analysis to examine qualitative data, determine patterns across transcripts, and develop emerging themes. Researchers concluded interviews when data saturation was reached. The majority of participants were female (94%), African American (66%), and residents of Flint (72%). Five recurrent themes emerged: (1) nutrition security; (2) prescription distribution; (3) prescription redemption; (4) educational supports; and (5) programme modifications. Although caregivers indicated that the prescription programme addressed household food insecurity, environmental barriers to engagement were apparent. Caregivers provided suggestions, such as partnering with large grocery stores and developing digital prescriptions, to address programme engagement challenges. Fundamental to the success of fruit and vegetable prescription programmes is the understanding of barriers to engagement from the perspective of participants. This study explores challenges with one paediatric fruit and vegetable prescription programme and provides actionable solutions, from the viewpoint of caregivers, to address these challenges.
Adolescent nutrition in Nigeria: a systematic review
Authors: Gabriel Theophilus Sunday , Kasim Mohammed , Oluma Francis Adah , Muka Taulant , Llanaj Erand 
Published: September 2024

Abstract
In this systematic review, we scrutinise adolescent nutrition in Nigeria, focusing on dietary patterns, intake, and nutritional status. Through a systematic examination of observational studies across three major databases, we analysed data from 67,844 adolescents. Our exploration revealed 102 studies, predominantly cross-sectional, addressing various nutritional dimensions. However, only 13% of these studies demonstrated low risk of bias, with none offering national representation and most concentrated in specific, school-based regions. The findings underscore a complex nutritional landscape with widespread malnutrition and highlight the critical need for high-quality, comprehensive data. The dominance of cross-sectional designs and regional biases in existing research calls for cautious interpretation and suggests a pressing need for more robust, nationally representative studies to guide future nutritional interventions and policy-making in Nigeria.
Impact of gluten-free diet (GFD) on some of cardiovascular risk factors: a systematic review and meta-analysis
Authors: Rohani Pejman , Izze da Silva Magalhães Elma , Imanifard Roya , Jarahzadeh Maryam , Ziamanesh Fateme , Fatahi Somaye , Jalalieh Hajar Ghorbani , Sohouli Mohammad Hassan 
Published: September 2024

Abstract
A gluten-free diet (GFD) may have a stronger potential impact on reducing cardiovascular (CV) risk factors, according to research evidence. We investigated the impact of GFD on CV risk variables by doing a systematic review and meta-analysis for this reason. We conducted a thorough database search starting on January 1, 2000, and ending on July 12, 2022. We used random-effects models to pool the data. Totally 19 articles met the eligible criteria and were included. Pooled findings indicated that intervention with GFD has a significantly beneficial effect on high-density lipoprotein (HDL) (WMD: 4.80 mg/dl, 95% CI: 2.09, 7.51, P = 0.001), systolic blood pressure (SBP) (WMD: –2.96 mmHg; 95% CI: –4.11, –1.81, P < 0.001), and C-reactive protein (CRP) (WMD: –0.40, mg/l, 95% CI: –0.67, –0.14, P = 0.002) levels. In celiac patients as well as with an intervention duration of more than 48 weeks, GFD increased TC and HDL compared to non-celiac patients and with an intervention duration lower than 48 weeks, respectively. The results of the present study showed that GFD can have a significant and beneficial effect on HDL, SBP, and CRP.
An archaeological and archaeometric study of Late Punic–Roman Pottery from the Tas-Silġ Sanctuary and the Żejtun Villa, Malta
Authors: Richard-Trémeau Emma , Capelli Claudio , Betts John C. , Grech Joseph , Humann Alexandra , Anastasi Maxine , Piazza Michele 
Published: September 2024

Abstract
This interdisciplinary study contributes to the understanding of the use of raw materials and pottery production techniques in Late Punic–Late Republican Malta, focusing on the Tas-Silġ sanctuary and the Żejtun Villa. Plates, bowls and cooking vessels were described typologically, and their fabrics were characterised using polarised light microscopy and Energy Dispersive X-Ray Fluorescence. The aims were to classify these vessels into integrated and coherent fabric groups based on all analyses, to better understand the local production of vessels and to assess a possible local provenance.
Four integrated fabric groups were identified and represent local productions using distinct raw materials or production techniques. These groups can be distinguished typologically, macroscopically, petrographically and chemically. Multivariate techniques, including the chemical analysis of Maltese clays, were produced to enhance the fabric classification and discuss their raw materials. The raw materials identified are consistent with what is known in Maltese geology. One group is distinctive, and the results suggest the possible use of a previously unidentified raw material, Terra Rossa, found over the Upper Coralline Limestone. This new classification provides the basis for further studies of Late Punic–Roman sites in the Maltese islands and the future identification of imports and exports from the Maltese islands.
The Latin inscriptions of Cyrenaica: an overview
Authors: Chevrollier François 
Published: September 2024

Abstract
Although Greek was the dominant epigraphic language in Cyrenaica throughout the Classical period, Latin was introduced by Roman merchants and administrators at the time of the formation of the province of Crete and Cyrene c. 67 BC, and remained in use, albeit by a constant minority, until at least the fourth century AD, with the last well-dated Latin inscription dating from the Valentinian dynasty. The aim of this article is to provide an overview of Latin inscriptions in the region, based on the IR Cyrenaica 2020 corpus, which brings together hitherto scattered documents and also includes many texts published for the first time. After a general overview of the corpus in terms of geographical, typological and chronological distribution, we will look at the linguistic landscape of ancient Cyrenaica, focusing on the multilingualism of the region, the literacy of the populations, the borrowings from one language to another (Latinisms), and the influences of the western provinces on the Latin of the region, among other topics. Lastly, a series of Latin funerary inscriptions allow us to examine the multiple identities claimed by the populations, as well as the cultural influences between Greek-, Latin- and Libyan-speaking populations.
High-time resolution GPU imager for FRB searches at low radio frequencies
Authors: Sokolowski Marcin , Aniruddha Gayatri , Di Pietrantonio Cristian , Harris Chris , Price Danny , McSweeney Samuel , Wayth Randall Bruce , Bhat Ramesh 
Published: September 2024

Abstract
Fast Radio Bursts (FRBs) are millisecond dispersed radio pulses of predominately extra-galactic origin. Although originally discovered at GHz frequencies, most FRBs have been detected between 400 and 800 MHz. Nevertheless, only a handful of FRBs were detected at radio frequencies

$\le$

400 MHz. Searching for FRBs at low frequencies is computationally challenging due to increased dispersive delay that must be accounted for. Nevertheless, the wide field of view (FoV) of low-frequency telescopes – such as the the Murchison Widefield Array (MWA), and prototype stations of the low-frequency Square Kilometre Array (SKA-Low) – makes them promising instruments to open a low-frequency window on FRB event rates, and constrain FRB emission models. The standard approach, inherited from high-frequencies, is to form multiple tied-array beams to tessellate the entire FoV and perform the search on the resulting time series. This approach, however, may not be optimal for low-frequency interferometers due to their large FoVs and high spatial resolutions leading to a large number of beams. Consequently, there are regions of parameter space in terms of number of antennas and resolution elements (pixels) where interferometric imaging is computationally more efficient. Here we present a new high-time resolution imager BLINK implemented on modern graphical processing units (GPUs) and intended for radio astronomy data. The main goal for this imager is to become part of a fully GPU-accelerated FRB search pipeline. We describe the imager and present its verification on real and simulated data processed to form all-sky and widefield images from the MWA and prototype SKA-Low stations. We also present and compare benchmarks of the GPU and CPU code executed on laptops, desktop computers, and Australian supercomputers. The code is publicly available at https://github.com/PaCER-BLINK-Project/imager and can be applied to data from any radio telescope.