bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial patterns of steam technology diffusion in nineteenth-century France
Authors: Le Chapelain Charlotte , Wilke Ralf A. 
Published: January 2025

Abstract
This paper introduces a unique regional panel data set reflecting steam power use in the French départements from 1841 to 1911 and investigates, on this basis, the time and spatial patterns of steam technology diffusion in nineteenth-century France. While in the existing literature most quantitative assessments of steam power use in French industries rely on statistical information coming from the industrial censuses conducted in 1839–1847, 1860–1865 and 1896 [see Chanut et al. (2000)], our data provide an exhaustive overview of the spread of steam power in France based on the French mining engineers’s reports that followed the early introduction in France of regulations on the use of steam engines. By controlling for a number of geographical, demographical and structural factors and initial conditions, we provide statistical evidence that intensity in the use of steam engine within close proximity was a strong and robust predictor of steam engine adoption among French industries. Our results therefore confirm that economic development in the prime time of industrialization benefited from spill-overs in neighboring regions, while this is not found over longer distances.
Anaerobic Digestion of Seaweed (Ecklonia Maxima) and Seaweed Residues for Quality Biogas Production
Authors: Border Allistair , Tolessa Amsalu , Görgens Johann , Goosen Neill 
Published: January 2025

Abstract
Seaweed has been identified as a potential feedstock for biorefineries. Anaerobic digestion (AD) is a promising technology to transform seaweed biomass into biogas, and could make an important contribution to recovering energy to drive a potential biorefinery. In this study, AD of Ecklonia maxima seaweed and its residues after enzymatic hydrolysis was optimized for biogas production at both bench- and pilot-scale. A standard Box-Behnken statistical design with 3 factors at 3 levels was employed to determine the effects of operating conditions (temperature, solids loading, and inoculum-to-substrate ratio) on biogas production yield and composition, for both raw seaweed and enzymatic hydrolysis residues. Bench-scale optimization resulted in biogas production of 256 and 259 ml CH4/gVS for raw seaweed and solid hydrolysis residues at mesophilic temperature (38.8 and 37.4 °C), solid loading (3.6 and 4.3 wt%), and inoculum to substrate ratio (4.1 and 3.9), with methane contents of 62% and 70%, respectively. Even if the methane yields and contents seem very similar between the two substrates, the finding suggests that the optimal processing conditions for maximizing the biomethane yield from seaweed processing residues might not necessarily coincide with the optimal conditions for seaweed in its raw form. Pilot-scale runs in 30 L digesters at centre point conditions resulted in similar quantities of biogas production for both feedstocks, although methane contents and yields were 88% of the highest values recorded at bench scale. Results demonstrated the suitability of both raw seaweed and the residues remaining after enzymatic hydrolysis as feedstocks for AD, and that solid residues post-enzymatic hydrolysis have a slightly higher biomethane potential than the raw seaweed. Elemental analyses of both feedstocks were compared to fertilizer guidelines, with the results indicating that all heavy metal concentrations were below the limiting values. In conclusion, the study is significant in that it provides data on how to treat residues that originate from a ‘typical’ seaweed biorefinery and derive bioenergy from the residues through AD.
Analysis of survival and prognostic factors in appendix adenocarcinoma and mucinous carcinoma
Authors: Turan Bilal , Sanli Ahmet Necati , Acar Serdar 
Published: January 2025

Abstract
This study aimed to compare mucinous carcinoma and adenocarcinoma of the appendix in terms of survival and investigate the risk factors influencing survival. The data for this study were retrieved from the SEER database (SEER Research Plus 17 registries). Patients diagnosed with appendix cancer between 2004 and 2019 were included. Demographic data, such as age, gender, marital status, and year of diagnosis, along with oncological variables like stage, surgery, chemotherapy, radiotherapy, and survival time, were extracted from the SEER database. Pathological subtypes were classified as adenocarcinoma (AC) and mucinous adenocarcinoma (MAC) based on the College of American Pathologists guidelines. Patients with other pathological subtypes or missing data were excluded from the study. This study included 4524 patients, with 2118 (46.8%) classified as AC and 2406 (53.2%) as MAC. There was no significant difference in mean age between AC and MAC groups (63.22 ± 14.30 vs. 59.46 ± 14.07, p = 0.483). AC was more common in males, while MAC was more prevalent in females (46.8% vs. 53.2%; 55.6% vs. 44.4%, p < 0.001, respectively). Married status was high in both groups (p = 0.001). While no difference was found in white race distribution, the black race was more prevalent in the AC group (57.1% vs. 42.9%, p < 0.001). Grade 1 tumors were more frequent in the AC group, whereas Grades 2 and 3 were more common in the MAC group (p < 0.001). Stages 1, 2, and 3 were more prevalent in the AC group, while the majority of MAC cases were at Stage 4. Surgery rates were higher in the AC group (98.6% vs. 96.4%, p < 0.001). Chemotherapy was used more frequently in the MAC group (50.9% vs. 40.6%, p < 0.001), while radiotherapy rates were similar in both groups (p = 0.498). The mean follow-up period was 55.70 ± 47.2 months. Five- and ten-year survival rates for the MAC group were 64.4% and 50.2%, respectively, higher than the AC group’s rates of 54.2% and 39.7% (p < 0.001). The overall risk of mortality was 1.4 times higher in the AC group compared to the MAC group (p < 0.001, HR: 1.377 [CI 95% 1.259–1.507]). While adenocarcinomas and mucinous adenocarcinomas have similar incidences, non-metastatic adenocarcinomas were more frequently observed. In contrast, mucinous adenocarcinomas often exhibited distant metastases. Nevertheless, the survival rate was higher in mucinous adenocarcinomas.
Influencer-Driven Gambling Content and Its Impact on Children and Young People: A Scoping Study
Authors: Bolat Elvira , Panourgia Constantina , Yankouskaya Ala , Kelly Megan 
Published: January 2025

Abstract

Purpose of Review
This scoping review explores the influence of social media influencers in promoting gambling to children and young people, addressing concerns about their vulnerability to gambling advertisements on platforms like YouTube, TikTok, and Twitch.

Recent Findings
A scoping review of 41 studies highlights that influencers use subtle, relatable strategies to normalise gambling behaviours. Despite regulatory changes, children and young people are still significantly exposed to gambling content. Influencers’ promotional tactics increase engagement and lower perceived risks of gambling, yet there is limited research on the long-term impact of this exposure.

Summary
Stricter regulations are urgently needed to reduce children and young people’s exposure to influencer-driven gambling content. Mandatory sponsorship disclosures and age verification measures are essential. Targeted interventions, including educational campaigns, should be prioritised to raise awareness of the risks associated with influencer marketing and gambling. These steps are critical to protecting vulnerable children and young people from potential gambling-related harms.
Robust underwater object tracking with image enhancement and two-step feature compression
Authors: Li Jiaqing , Xue Chaocan , Luo Xuan , Fu Yubin , Lin Bin 
Published: January 2025

Abstract
Developing a robust algorithm for underwater object tracking (UOT) is crucial to support the sustainable development and utilization of marine resources. In addition to open-air tracking challenges, the visual object tracking (VOT) task presents further difficulties in underwater environments due to visual distortions, color cast issues, and low-visibility conditions. To address these challenges, this study introduces a novel underwater target tracking framework based on correlation filter (CF) with image enhancement and a two-step feature compression mechanism. Underwater image enhancement mitigates the impact of visual distortions and color cast issues on target appearance modeling, while the two-step feature compression strategy addresses low-visibility conditions by compressing redundant features and combining multiple compressed features based on the peak-to-sidelobe ratio (PSR) indicator for accurate target localization. The excellent performance of the proposed method is demonstrated through evaluation on two public UOT datasets.
Identification of global main cable line shape parameters of suspension bridges based on local 3D point cloud
Authors: Li Yurui , Dan Danhui , Pan Ruiyang 
Published: January 2025

Abstract
Main cable line shape measurement and parameter identification are a critical task in the construction monitoring and service maintenance of suspension bridges. 3D LiDAR scanning can simultaneously obtain the coordinates of multiple points on the target, offering high accuracy and efficiency. As a result, it is expected to be used in applications requiring rapid, large-scale measurements, such as main cable line shape measurement for suspension bridges. However, due to the large span and tall main towers of suspension bridges, the LiDAR field of view often encounters obstructions, making it difficult to obtain high-quality point clouds for the entire bridge. The collected point clouds are typically unevenly distributed and of poor quality. Therefore, LiDAR is used to monitor the local cable line shape. This paper proposes an innovative non-uniform sampling method that adjusts the sampling density based on the main cable’s rate of change. Additionally, the Random Sample Consensus (RANSAC) algorithm, the ordinary least squares, and center-of-mass calibration are applied to identify and optimize the geometric parameters of the cross-section point cloud of the main cable. Given the strong design prior information available during suspension bridge construction, Bayesian theory is applied to predict and adjust the global line shape of the main cable. The study shows that using LiDAR for cable point cloud measurement enables rapid acquisition of high-precision point cloud data, significantly enhancing data collection efficiency. The method proposed in this paper offers advantages such as highly automated, low risk, low cost, and sustainability, making it suitable for green monitoring throughout the entire main cable construction process.
Predictors of new persistent opioid use after surgery in adults
Authors: Gessner Kathryn H. , Preisser John S. , Pfaff Emily , Wang Rujin , Walters Kellie , Bradford Robert , Clark Marshall , Ehlers Mark , Nielsen Matthew 
Published: January 2025

Abstract

Purpose
Persistent opioid use is one of the most common post-operative complications. Identification of at-risk patients pre-operatively is key to reducing post-operative opioid use. We sought to develop a predictive model for persistent post-operative opioid used and to determine if geographic factors from community databases improve model prediction based solely on electronic health records (EHRs) and claims data.

Methods
EHR and claims data for 4,116 opioid-naïve surgical patients older than 18 in North Carolina were linked with census tract-level unemployment data from the American Community Survey and Centers for Disease Control and Prevention data on opioid prescriptions and deaths attributed to drug poisoning. Primary outcome was new persistent opioid use and covariates included patient factors from EHR, claims data, and geographic factors. Multivariable logistic regression models of potential risk factors were evaluated.

Results
6.0% of patients developed new persistent opioid use. Associated risk factors based on multivariable logistic regressions include age (adjusted odds ratio [AOR] 1.08; 95% confidence interval [CI] 1.00, 1.16), back and neck pain (1.82; 1.39, 2.39), joint disorders (1.58; 1.18, 2.11), mood disorders (1.71; 1.28, 2.28), opioid retail prescription (1.04; 1.00, 1.07) and drug poisoning rates (1.33; 1.09, 1.62). On Monte-Carlo cross-validation, the addition of geographic factors to EHRs and claims may modestly improve prediction performance (area under the curve, AUC) of logistic regression models compared to those based on EHRs and claims data (AUC 0.667 (95% CI 0.619, 0.717) vs AUC 0.653 (0.600, 0.706)).

Conclusions
Co-morbidities and area-based factors are predictive of new persistent post-operative opioid use. As the addition of geographic-based factors did not significantly improve performance of multivariable logistic regression, larger samples are needed to fully differentiate models.
Comparison of sampling and culture methods for the recovery of yeast from hospital surfaces
Authors: Eberly Allison R. , Valencia Alyssa M. , Peacock Kate , McDonald David , Hink Tiffany , Samuels Carleigh , Vogt Lucy , Xue Yao-Peng , Newberry Maggie , O’Neil Caroline A. , Dantas Gautam , Kwon Jennie H. 
Published: January 2025

Abstract

Objective:
To compare the recovery of yeast from hospital surfaces from two different collection methods: Eswab moistened with molecular water, and premoistened stick-mounted sponge.

Design:
Comparison of collection methods for the recovery of yeast in the hospital environment.

Setting:
This study took place at intensive care units of a large academic medical center.
Framework for a problem-solving educational program integrating medicine and design disciplines at a Japanese university
Authors: Kudo Kuriko , Akita Naoshige , Matsuguma Hiroyuki , Tomimatsu Shunta , Hirai Yasuyuki , Moriyama Tomohiko 
Published: January 2025

Abstract
The design provides innovative solutions to problems in the medical field. Collaboration between design and medicine can be fostered in several ways; however, educational programs linking these two academic fields are limited, and their frameworks and effectiveness are unknown. Hence, we launched an educational project to address medical problems through design. The framework and creative outcomes are based on the results of two consecutive one-year programs. The research subjects were 35 participants from three departments. The majority (22/35, 63%) were master’s and doctoral students in design. Eight participants were doctoral students and researchers who volunteered from the surgery, oral surgery, neurology and nursing departments at the Graduate School of Medicine and Hospital. The impact of the program on creativity was evaluated by the quality of ideas and the participants’ assessments. In total, 424 problems were identified and 387 ideas were created. Nine prototypes with mock-ups and functional models of products, games or service designs were created and positively evaluated for novelty, workability and relevance. Participants benefitted from the collaboration and gained new perspectives. Career expectations increased after the class, whereas motivation and skills remained high. A framework for a continuing educational program was suggested.
The AI Act Roller Coaster: The Evolution of Fundamental Rights Protection in the Legislative Process and the Future of the Regulation
Authors: Palmiotto Francesca 
Published: January 2025

Abstract
This paper traces the legislative process of the EU Artificial Intelligence Act (AI Act) to provide an empirical and critical account of the choices made in its formation. It specifically focuses on the dynamics that led to increasing or lowering fundamental rights protection in the final text and their implications for fundamental rights. Adopting process-tracing methods, the paper sheds light on the institutional differences and agreements behind this landmark legislation. It then analyses the implications of political compromise for fundamental rights protection. The core message it aims to convey is to read the AI Act with its institutional setting and political context in mind. As this paper shows, the different policy aims and mandates of the three EU institutions, compounded by the unprecedented level of redrafting and the short time needed to reach a political agreement, influenced the formulation of the AI Act. Looking forward, the paper points to the role of implementation, enforcement and judicial interpretation in enhancing the protection of fundamental rights in the age of AI.
The Price of Justice: Compliance and Damages Awarded by the Inter-American Court of Human Rights
Authors: Haglund Jillienne , Parente Francesca 
Published: January 2025

Abstract
What factors explain compliance with monetary damages awarded by the Inter-American Court of Human Rights (IACtHR)? States comply with the payment of monetary damages at higher rates than other forms of reparation. However, the higher compliance rate belies the significant variation in time to compliance with the payment of monetary awards. We identify three case-level characteristics that explain this variation: size of awards, number of victims, and victim identity. We test our hypotheses utilizing original datasets on compliance with monetary damages and case characteristics in IACtHR judgments through 2019, and find support for all three factors on time to compliance.
A catalogue of complex radio sources in the Rapid ASKAP Continuum Survey created using a self-organising map
Authors: Alam Afrida , Pimbblet Kevin , Gordon Yjan 
Published: January 2025

Abstract
Next generations of radio surveys are expected to identify tens of millions of new sources and identifying and classifying their morphologies will require novel and more efficient methods. Self-organising maps (SOMs), a type of unsupervised machine learning, can be used to address this problem. We map 251 259 multi-Gaussian sources from Rapid ASKAP Continuum Survey (RACS) onto a SOM with discrete neurons. Similarity metrics, such as Euclidean distances, can be used to identify the best-matching neuron or unit (BMU) for each input image. We establish a reliability threshold by visually inspecting a subset of input images and their corresponding BMU. We label the individual neurons based on observed morphologies, and these labels are included in our value-added catalogue of RACS sources. Sources for which the Euclidean distance to their BMU is

$\lesssim$

5 (accounting for approximately 79

$\%$

of sources) have an estimated

$ \gt $

90% reliability for their SOM-derived morphological labels. This reliability falls to less than 70

$\%$

at Euclidean distances

$\gtrsim$

7. Beyond this threshold it is unlikely that the morphological label will accurately describe a given source. Our catalogue of complex radio sources from RACS with their SOM-derived morphological labels from this work will be made publicly available.
Connecting East with West: constraining polygenetic Variscan – to post-Variscan metamorphism in the Marmarosh/Maramuresh Massif, Ukraine/Romania
Authors: Gawęda Aleksandra , Munteanu Marian , Siliauskas Laurynas , Kupczak Krzysztof , Chew Dave , Waśkowska Anna , Szopa Krzysztof , Belskyy Volodymyr , Pantia Adrian Iulian , Marciniak-Maliszewska Beata , Jokubauskas Petras 
Published: January 2025

Abstract
This work reports the first data on the Variscan metamorphic evolution of the Marmarosh/Maramuresh massif in the Outer Eastern Carpathians. Geothermobarometry determinations coupled with U-Th-Pb dating of monazite, apatite, titanite and rutile were used to construct P-T-t paths and refine the geodynamic evolution of the pre-Alpine crystalline basement. These clockwise P-T-t paths evolve from 560–630 MPa and 515–535 °C to c. 900–1180 MPa in the north (Ukraine), while in the southern nappe (Romania), the P-T-t conditions evolve from 455–620 MPa and 545–555 °C, through to 670–745 MPa and 540–560 °C, to 910–965 MPa and 645–660 °C. The northernmost nappes were likely structurally lower relative to the southern nappes. Variscan progressive metamorphism related to nappe stacking climaxed at 350–340 Ma, as documented by U-Pb rutile and U-Th-Pb monazite dating.
In both regions, post-kinematic exhumation to 700–500 MPa, 550–630 °C MPa and then to the titanite stability field was dated at 317–327 Ma, using the U-Pb system on apatite and titanite. Subsequent Permian retrogression and exhumation was constrained to 280–290 Ma by U-Pb rutile and apatite and U-Th-Pb monazite dating. These data link the massif to the external zone of the Central European Variscides. We infer that all Variscan crystalline basement fragments in the Alps and Carpathians probably represent remnants of the same microcontinent, which was dismembered during Alpine orogenesis.
First parasitic bopyrid isopod of the genus Ionella (Epicaridea: Pseudioninae) in the Atlantic
Authors: Romero-Rodríguez Jesús , Álvarez Fernando 
Published: January 2025

Abstract
Ionella fimbriata sp. nov. is described from a pair of bopyrid isopods attached to a male specimen of the ghost shrimp Neocallichirus grandimana collected in Veracruz, Mexico. This is the fifth species belonging to Ionella but the first one recorded from the Atlantic Ocean, which represents an important extension of its distribution range because until now all Ionella species were known from the Pacific Ocean. Females of I. fimbriata sp. nov. can be differentiated from the others of the genus by a barbula with one stout, acute, falcate projection on each side and medial margin with triangular rounded projections; seven pairs of pereopods with elongate cuticular extensions on bases and ischia, and five pairs of tuberculated biramous pleopods of pinnate shape. Males can be recognized by five pairs of globose biramous pleopods, in which endopods are longer than exopods, and uropods longer than pleopods. Description and illustrations of both the female and male I. fimbriata sp. nov. are provided, as well as keys for both sexes of all species in the genus. The fecundity, embryo size and volume of I. fimbriata sp. nov. are reported.
You could have invented Fenwick trees
Authors: YORGEY BRENT 
Published: January 2025

Abstract
Fenwick trees, also known as binary indexed trees are a clever solution to the problem of maintaining a sequence of values while allowing both updates and range queries in sublinear time. Their implementation is concise and efficient—but also somewhat baffling, consisting largely of nonobvious bitwise operations on indices. We begin with segment trees, a much more straightforward, easy-to-verify, purely functional solution to the problem, and use equational reasoning to explain the implementation of Fenwick trees as an optimized variant, making use of a Haskell EDSL for operations on infinite two’s complement binary numbers.
Industrial brewing in early modern London
Authors: Cavert William M. 
Published: January 2025

Abstract
Scholarship on brewing in early modern London is torn between two irreconcilable stories, one positing stunning growth before 1560 and the other insignificant change until after 1720. Careful attention to company and court records as well as state papers, however, reveals that by 1600 London brewing had boomed, likely making it Europe’s largest brewing centre, led by individual houses operating on scales close to the largest of the mid-eighteenth century. Such breweries were accurately perceived to be large scale and highly profitable, clustered along the Thames in urban industrial zones.