bluuebunny/crossref_metadata_2025_split huggingface dataset:
Materials
Authors: Smil Vaclav 
Published: February 2025

Abstract
Production of old materials was transformed by new techniques and by rising capacities and efficiencies. The steel industry was transformed by a rapid diffusion of basic oxygen furnaces and by continuous casting; the synthesis of ammonia benefitted from better compressors and hydrogen derived from natural gas. All materials—minerals used in construction (sand, gravel, stone), metals (led by steel, aluminum, and copper), nonmetallic minerals (from graphite to silicon), fertilizers, and plastics—have seen large increases in extraction, production, and synthesis. The two most important twentieth-century additions to large-scale material production were plastics (most of today’s leading varieties were first synthesized between the 1930s and 1960s), now one of the key material pillars of our world, and silicon (used in photovoltaic cells and, in it purest form, to make microprocessors). Moreover, industrial gases, derived from air (oxygen, nitrogen, “rare” gases) or from natural gas (hydrogen) became indispensable for many key industries.
Transportation, Communication, Information
Authors: Smil Vaclav 
Published: February 2025

Abstract
All modes of transportation have become faster as well as safer and more affordable. Road traffic was transformed by multilane highways, rapid electric trains became the best choice for intercity trips in Japan and Europe, large tankers and container ships lowered the cost of shipping, and, since the 1950s, new jetliner designs made long-distance flying affordable and increasingly reliable. Television was adopted rapidly after 1950 in all richer countries, where telephones ownership became nearly universal. Communication and information were transformed by the invention and rapid adoption of electronic computers, first based on vacuum tubes, from the late 1950s on solid state electronics; then came integrated circuits and, since the early 1970s, the rapidly improving microprocessors that enabled affordable personal computing and the rise of the World Wide Web.
A family-based strategy to identify and prevent premature cardiovascular disease: a feasibility pilot-study
Authors: Charleux Pierre , Procopi Niki , Rahoual Ghilas , Proukhnitzky Julie , Brugier Delphine , Boukhelifa Sena , Rouanet Stéphanie , Vicaut Eric , Kerneis Mathieu , Silvain Johanne , Montalescot Gilles , Zeitouni Michel 
Published: February 2025

Abstract

Background
Current guidelines fail to adequately identify and prevent cardiovascular prevention in young adults, even when a family history of cardiovascular disease (CVD) is known.

Purpose
We aim to assess the feasibility and acceptability of a routine family-based cardiovascular risk assessment in first-degree relatives of individuals with premature coronary artery disease (CAD).

Methods
Patients with premature CAD were prospectively asked about pre-existing CVD cases and previous cardiovascular check-ups among their first-degree relatives. They were then encouraged to invite their healthy and naïve to cardiology follow-up relatives to contact the cardiology department for consultation. The primary outcome was the eligibility of relatives for initial cardiovascular evaluation, defined by the absence of previously known CVD or active primary prevention.

Result
The cardiovascular status of first-degree relatives was evaluated in the families of 137 probands with premature CAD. Of the 626 identified first-degree relatives, 153 (24.4%) had known CVD, primarily CAD (19.6%). Among 352 siblings and adult-children, 48 (13.7%) were already diagnosed with CVD, 68 (19.3%) were being treated or followed for primary prevention, and 226 (64.2%) were eligible for initial cardiovascular check-up. Within 12 months, 11.1% of eligible relatives initiate screening.

Conclusion
This pilot study revealed 1/a significant familial burden of CVD, 2/opportunities for proactive primary prevention in two out of three of young relatives, and 3/challenges in engaging non-symptomatic adults in a cardiovascular screening based on family history.
Health promotion meets sustainable movement-based education in school—a “walking school” initiative in Sweden
Authors: Karlander Rasmus , Geidne Susanna 
Published: February 2025

Abstract
The World Health Organization states that physical activity has the potential to influence physical, mental, and social dimensions of health in a powerful way. However, in modern society, physical activity is increasingly becoming an active choice, rather than a part of everyday life. Schools have been identified as key settings for health promotion, but physical activity initiatives in schools have rarely had a sustained impact. Interventions have been criticized for seeking to increase levels of physical activity by focusing on individual behaviors rather than considering the contexts and social structures in which individuals live their lives. With a theoretical foundation in settings-based health promotion, this article proposes an alternative initiative for sustainable movement-based education called Walking School. Walking School defines sustainable movement as the movement that is an integral part of the school day and school culture. Walking School, or outdoor teaching while walking, has the potential to (i) be inclusive of both teachers and students, (ii) extend the classroom and make physical activity a collective responsibility of all teachers, not just physical education teachers, (iii) reduce sedentary time and increase physical activity without losing instructional time, (iv) stimulate physical activity and create conditions conducive to the development of new habits by using the outdoor environment as a teaching space, and (5) become part of the school’s core business of education, and ultimately a part of the school culture.
Introducing optimal performance scenario for an Urban Comprehensive Health Center affiliated with Primary Healthcare Network in Iran
Authors: Hosseini Seyed Hadi , Takian Amirhossein , Bakhtiari Ahad , Ahmadi Batool , Amerzadeh Mohammad , Arani Leila Keikavoosi 
Published: February 2025

Abstract

Background
The Urban Comprehensive Health Center (UCHC) is a vital institution that offers healthcare services to the people residing in cities in Iran, and its efficient functioning is critical.

Objectives
This study aimed to introduce optimal performance scenarios for a UCHC using a new methodology to help managers make more efficient decisions.

Methods
This empirical study was conducted in 2021 at a UCHC in the south of Tehran City, Iran. The study comprised five phases: collecting information about the center, recording the number of patients and the time taken to provide services, analyzing the current state of the center, creating scenarios, and comparing scenarios to identify the best solution. We used Arena21 software to generate scenarios and quantitative criteria, the nominal group technique to analyze proposed decisions, and qualitative criteria and expert choice.

Results
We extracted three scenarios. The changes in quantitative criteria in the third scenario compared to the current situation were patients entered (94% increase), patients served (137% increase), patients’ waiting time (-107% decrease), and employee productivity rate (3% increase). Qualitative criteria were presented to validate the scenarios. The scores for the quantitative criteria for the current situation and the first, second, and third scenarios were 111, 141, 347, and 401, respectively. For the qualitative criteria, the scores were 116, 208, 216, and 458, respectively.

Conclusions
The third scenario was the optimal performance scenario. We recommend using simulation tools, extracting decision methods and proposed scenarios, validating scenarios, and making decisions about them for other UCHCs.
Assessing the appropriateness of antifungal prescribing: key results from the implementation of a novel audit tool in Australian hospitals
Authors: Khanina A , Singh N , James R , Kong D C M , Slavin M A , Thursky K A 
Published: February 2025

Abstract

Objectives
To utilize the Antifungal National Antimicrobial Prescribing Survey (Antifungal NAPS), a novel tool utilizing international consensus metrics for antifungal stewardship, to assess the quality of systemic antifungal prescribing in Australian hospitals, in order to identify quality improvement targets.

Methods
Participating hospitals were directed to audit all systemic antifungals or focus on a specific antifungal drug or class. Data entry into the Antifungal NAPS online portal occurred between October 2022 and June 2023. The data collection tool comprised patient details, reasons precluding use of antifungals, prescription details (guideline compliance, appropriateness, and reasons for inappropriate prescribing) and patient outcomes. Descriptive statistics were used to analyse the data.

Results
Eleven hospitals contributed data for 516 prescriptions for 438 patients. Of these, 77.1% of prescriptions were appropriate, with the highest appropriateness for prophylactic (189/222; 85.1%), followed by directed (105/130; 80.8%) and empirical therapy (104/164; 63.4%). Fluconazole was the most commonly prescribed agent, which had the lowest rate of appropriateness (132/209; 63.2%). The most common reasons for inappropriate prescribing were no antifungal required (35/105; 33.3%), incorrect dose or frequency (30/105; 28.6%) and incorrect duration (19/105; 18.1%). Compliance with guidelines was 73.6%.

Conclusions
This study outlines the successful implementation of the Antifungal NAPS, a standardized electronic audit tool for the assessment of antifungal prescribing quality. Key areas for quality improvement identified were the overuse of empirical fluconazole for urinary tract and intra-abdominal infections, the importance of invasive fungal infection risk assessment to guide prophylaxis prescribing and greater infectious diseases and antifungal stewardship oversight of antifungal prescribing to guide optimal prescribing.
Pseudomonas aeruginosa: One Health approach to deciphering hidden relationships in Northern Portugal
Authors: de Sousa Telma , Machado Sandro , Caniça Manuela , Ramos Miguel J N , Santos Daniela , Ribeiro Miguel , Hébraud Michel , Igrejas Gilberto , Alves Olimpia , Costa Eliana , Silva Augusto , Lopes Ricardo , Poeta Patrícia 
Published: February 2025

Abstract

Aims
Antimicrobial resistance in P. aeruginosa represents a major global challenge in public and veterinary health, particularly from a One Health perspective. This study aimed to investigate antimicrobial resistance, the presence of virulence genes, and the genetic diversity of P. aeruginosa isolates from diverse sources.

Methods and Results
The study utilized antimicrobial susceptibility testing, genomic analysis for resistance and virulence genes, and multilocus sequence typing to characterize a total of 737 P. aeruginosa isolates were collected from humans, domestic animals, and aquatic environments in northern Portugal. Antimicrobial resistance profiles were analyzed, and genomic approaches were employed to detect resistance and virulence genes. The study found a high prevalence of multidrug-resistant isolates, including high-risk clones such as ST244 and ST446, particularly in hospital sources and wastewater treatment plants. Key genes associated with resistance and virulence, including efflux pumps (e.g., MexA and MexB) and secretion systems (T3SS and T6SS), were identified.

Conclusions
This work highlights the intricate dynamics of multidrug-resistant P. aeruginosa across interconnected ecosystems in Northern Portugal. It underscores the importance of genomic studies in revealing the mechanisms of resistance and virulence, contributing to the broader understanding of resistance dynamics and informing future mitigation strategies.
River dam prevents the invasion of non-native species of Neocaridina Kubo, 1938 (Decapoda: Caridea: Atyidae) into native habitats: A case study in the Yumesaki River system, Japan
Authors: Ishii Ryosuke , Fuke Yusuke 
Published: February 2025

Abstract
The range expansion of invasive species that threaten biodiversity is caused by repeated cycles of their artificial introduction and subsequent dispersal. While dispersal can occur without human intervention, its pattern is mainly determined by environmental factors and species characteristics. Knowledge regarding the dispersal processes of invasive species and their subsequent interactions with native species is limited, which makes controlling invasive species and conserving native species difficult. We focused on the freshwater shrimps genus Neocaridina Kubo, 1938 in the Yumesaki River system, Japan, which is the habitat of the native species N. denticulata (De Haan, 1844) and has experienced the introduction of closely related invasive species. We examined the genetic population structures and morphological characteristics of the introduced species to elucidate their dispersal process. The results showed that populations comprising only the native species remained upstream of the Sugo Dam, whereas the native species was replaced by the introduced species N. davidi (Bouvier, 1904) at the other sites. Our results demonstrate that the distribution of invasive species can expand throughout the entire river system in rivers without structures that restrict the movement of aquatic organisms. Our findings highlight a rare example of a riverine structure that is generally detrimental to native species, acting as a bulwark for native species against invasive species.
Filling the gaps of microresistivity imaging data by combining structure dual generative adversarial networks and diffusion models
Authors: Xu Zhaohui , Liu Jiakang , Mao Qi , Peng Qiangqiang 
Published: February 2025

Abstract
Gaps in microresistivity imaging data pose challenges for reservoir characterization and formation analysis. To address this, we propose a novel approach that employs two cascaded deep-learning algorithms to fill these gaps. First, a conditional texture and structure dual generative (CTSDG) adversarial network is used to reconstruct the missing portions of the microresistivity imaging data. Next, a diffusion model with enhanced loss functions is employed to improve the resolution of gaps-filled imaging data. The new loss function stabilizes the training process by combining traditional reconstruction loss with a weighted contrastive loss that adapts over time. Given the persistent gaps in microresistivity imaging data, we utilize acoustic borehole imaging and core data as training datasets for the CTSDG network. The trained models are then applied to microresistivity imaging data to produce microresistivity imaging data without gaps. This method was tested on data from a gas field, successfully restoring key geological features such as lithology, formation boundaries, fractures, and borehole collapse within the previously incomplete areas. The results demonstrate that the proposed method effectively recovers missing geological features, providing enhanced data for reservoir characterization and formation analysis.
Improving topic modeling for literary studies: a hybrid model combined with Word2Vec visualization in the case of Robinson Crusoe
Authors: Hui Haifeng 
Published: February 2025

Abstract
Topic modeling techniques, initially developed for the analysis of short texts, often face challenges when applied to literary research due to the complexity of the literary language and length of the text. Algorithms that typically yield clear and distinct topics for concise informative or opinionated texts often produce ambiguous and overlapping results in literary contexts. This article explores the application of one of the most popular topic modeling techniques, latent Dirichlet allocation (LDA), in the analysis of fiction and addresses these central questions regarding the effectiveness and interpretation of LDA topics through a case study of Robinson Crusoe. It proposes combining the Word2Vec method with LDA analysis to render topic modeling results more readable by mapping topics words in a three-dimensional space where semantically related words are placed close to each other. Furthermore, this integrated approach undergoes validation using various children’s editions of the novel and other works by the same author to assess its effectiveness. It is found that the combined method is capable of differentiating subtle changes in children’s editions and other novels. This study highlights the promising potential of LDA in literary research and underscores the importance of visualization techniques for nuanced interpretations of LDA topics.
Spectral energy distributions of disc-embedded accreting protoplanets
Authors: Choksi Nick , Chiang Eugene 
Published: February 2025

ABSTRACT
Many dozens of circumstellar discs show signatures of sculpting by planets. To help find these protoplanets by direct imaging, we compute their broadband spectral energy distributions, which overlap with the JWST and ALMA (Atacama Large Millimeter Array) passbands. We consider how circumplanetary spherical envelopes and circumplanetary discs are heated by accretion and irradiation. Searches with JWST’s NIRCam (Near-Infrared Camera) and the blue portion of MIRI (Mid-Infrared Instrument) are most promising since $\sim$300–1000 K protoplanets outshine their $\sim$20–50 K circumstellar environs at wavelengths of $\sim$2–10 $\mu$m. Detection is easier if circumplanetary dust settles into discs (more likely for more massive planets) or is less abundant per unit mass gas (because of grain growth or aerodynamic filtration). At wavelengths longer than 20 $\mu$m, circumplanetary material is difficult to see against the circumstellar disc’s surface layers that directly absorb starlight and reprocess it to the far-infrared. Such contaminating circumstellar emission can be serious even within the evacuated gaps observed by ALMA. Only in strongly depleted regions, like the cavity of the transitional disc PDS 70 where two protoplanets have been confirmed, may long-wavelength windows open for protoplanet study. We compile a list of candidate protoplanets and identify those with potentially the highest accretion luminosities, all peaking in the near-infrared.
Exploring the link between galaxy assembly and dark matter halo assembly in IllustrisTNG: Insights from the Mutual Information
Authors: Camargo Y D , Casas-Miranda R A 
Published: February 2025

Abstract
We employed Mutual Information (MI) analysis to investigate the relationship between galaxy properties and the assembly history of their host dark matter (DM) haloes from the IllustrisTNG simulations. Focusing on central and satellite galaxies with stellar masses between 109 − 1011.5 h−1 M⊙ , we examined the correlation between halo assembly time and galaxy assembly time, specific star formation rate (sSFR), color (g − i), and galaxy formation efficiency F⋆. Our results indicate a strong correlation between F⋆ and the halo assembly time for low-mass central galaxies, suggesting a co-evolutionary relationship. In contrast, sSFR and color (g − i) exhibit weaker correlations with halo assembly time, indicating that additional factors should influence these galaxy properties. Satellite galaxies show negligible correlation between their properties and halo assembly time, highlighting the impact of environmental processes on their evolution. We further extended our analysis to cluster observables, including the magnitude gap, the satellite richness, and the distances to the satellites. Although these cluster properties display weak overall correlations with halo assembly time, the richness consistently increases with stellar mass. This trend suggests that richness is more closely linked to formation history in more massive haloes, where satellite accretion dominates the growth of their host DM haloes. These findings establish F⋆ as a more sensitive indicator of halo assembly history than colour (g − i), sSFR, or cluster observables, offering new insights into the complex interplay between galaxy evolution and the hierarchical growth of their host dark matter haloes.
The Hierarchical Growth of Bright Central Galaxies and Intracluster Light as Traced by the Magnitude Gap
Authors: Golden-Marx Jesse B , Zhang Y , Ogando R L C , Yanny B , Pereira M E S , Hilton M , Aguena M , Allam S , Andrade-Oliveira F , Bacon D , Brooks D , Rosell A Carnero , Carretero J , Cheng T-Y , da Costa L N , De Vicente J , Desai S , Doel P , Everett S , Ferrero I , Frieman J , García-Bellido J , Gatti M , Giannini G , Gruen D , Gruendl R A , Gutierrez G , Hinton S R , Hollowood D L , Honscheid K , James D J , Kuehn K , Lee S , Mena-Fernández J , Menanteau F , Miquel R , Mohr J , Palmese A , Pieres A , Malagón A A Plazas , Samuroff S , Sanchez E , Schubnell M , Sevilla-Noarbe I , Smith M , Suchyta E , Tarle G , Vikram V , Walker A R , Weaverdyck N , Wiseman P 
Published: February 2025

Abstract
Using a sample of 2800 galaxy clusters identified in the Dark Energy Survey across the redshift range 0.20 &lt; z &lt; 0.60, we characterize the hierarchical assembly of Bright Central Galaxies (BCGs) and the surrounding intracluster light (ICL). To quantify hierarchical formation we use the stellar mass - halo mass (SMHM) relation, comparing the halo mass, estimated via the mass-richness relation, to the stellar mass within the BCG+ICL system. Moreover, we incorporate the magnitude gap (M14), the difference in brightness between the BCG (measured within 30 kpc) and 4th brightest cluster member galaxy within 0.5 R200, c, as a third parameter in this linear relation. The inclusion of M14, which traces BCG hierarchical growth, increases the slope and decreases the intrinsic scatter, highlighting that it is a latent variable within the BCG+ICL SMHM relation. Moreover, the correlation with M14 decreases at large radii. However, the stellar light within the BCG+ICL transition region (30 kpc - 80 kpc) most strongly correlates with halo mass and has a statistically significant correlation with M14. Since the transition region and M14 are independent measurements, the transition region may grow due to the BCG’s hierarchical formation. Additionally, as M14 and ICL result from hierarchical growth, we use a stacked sample and find that clusters with large M14 values are characterized by larger ICL and BCG+ICL fractions, which illustrates that the merger processes that build the BCG stellar mass also grow the ICL. Furthermore, this may suggest that M14 combined with the ICL fraction can identify dynamically relaxed clusters.
The rebound curve is a poor model of resilience
Authors: Eisenberg Daniel A , Seager Thomas P , Alderson David L 
Published: February 2025

Abstract
The rebound curve remains the most prevalent model for conceptualizing, measuring, and explaining resilience for engineering and community systems by tracking the functional robustness and recovery of systems over time. (It also goes by many names, including the resilience curve, the resilience triangle, and the system functionality curve, among others.) Despite longstanding recognition that resilience is more than rebound, the curve remains highly used, cited, and taught. In this article, we challenge the efficacy of this model for resilience and identify fundamental shortcomings in how it handles system function, time, dynamics, and decisions — the key elements that make up the curve. These oversimplifications reinforce misconceptions about resilience that are unhelpful for understanding complex systems and are potentially dangerous for guiding decisions. We argue that models of resilience should abandon the use of this curve and instead be reframed to open new lines of inquiry that center on improving adaptive capacity in complex systems rather than functional rebound. We provide a list of questions to help future researchers communicate these limitations and address any implications on recommendations derived from its use.