bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sclerotherapy for hemorrhoidal disease: systematic review and meta-analysis
Authors: Gallo G. , Picciariello A. , Armellin C. , Lori E. , Tomasicchio G. , Di Tanna G. L. , Santoro G. A. , Alharbi M. , Sorrenti S. , Grossi U. 
Published: January 2024

Abstract
Background
This systematic review and meta-analysis aimed to evaluate the safety and efficacy of sclerotherapy methods for hemorrhoidal disease (HD) over the past 40 years.

Methods
The review followed the 2020 Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. A comprehensive literature search was conducted, including studies reporting the use of sclerotherapy in patients with HD. Study eligibility criteria were defined, and data were extracted independently by the authors. Random-effects meta-analyses were performed to assess outcomes of interest.

Results
Out of 1965 records identified, 44 studies met the inclusion criteria, involving 9729 patients. The majority of studies were conducted in Japan, followed by the UK, Italy, and Portugal. The median age of participants was 52 years, and the majority were male. The Goligher grade distribution indicated varying degrees of HD severity. Sclerotherapy was predominantly administered through anoscopy, with polidocanol being the most commonly used agent. The procedure was generally performed without pre-injection analgesia. The meta-analysis of 14 randomized controlled trials (RCTs) revealed that sclerotherapy was not inferior to control interventions in terms of success rate (risk ratio [RR] 1.00, 95% CI 0.71–1.41) and recurrence rate (RR 1.11, 95% CI 0.69–1.77), while resulting in fewer complications (RR 0.46, 95% CI 0.23–0.92).

Conclusions
This systematic review highlights the safety and efficacy of sclerotherapy for HD, which yields similar success rates and fewer complications compared to other conservative or surgical approaches. Further research is warranted to optimize sclerotherapy techniques and evaluate long-term outcomes.

Registration
PROSPERO 2023 CRD42023396910.
Dandelion Optimizer and Gold Rush Optimizer Algorithm-Based Optimization of Multilevel Inverters
Authors: Saglam Mustafa , Bektas Yasin , Karaman Omer Ali 
Published: January 2024

AbstractWith the increasing integration of renewable energy sources into distribution and transmission networks, the efficiency of cascade H-bridge multilevel inverters (MLIs) in power control applications has become increasingly significant for sustainable electricity generation. Traditionally, obtaining optimal switching angles of MLIs to minimize total harmonic distortion (THD) requires solving the selective harmonic elimination equations. To this end, this research aims to use two recently developed intelligent optimization algorithms, dandelion optimizer and gold rush optimizer, to solve this problem. To evaluate the effectiveness of the proposed algorithms, an eleven-level cascaded H-bridge MLI (CHB-MLI) was considered in the study. Simulation results for different modulation indices were obtained, and the accuracy and solution quality were compared with genetic algorithm and particle swarm optimization algorithms. MATLAB/Simulink-based models were used to verify numerical computations, ensuring the reliability of the findings. This research contributes to the field by providing insights into obtaining optimal switching angles and minimizing THD in MLIs by applying intelligent optimization algorithms.
Outdoor learning across the early years in Australia: Inconsistencies, challenges, and recommendations
Authors: Frances Lisa , Quinn Frances , Elliott Sue , Bird Jo 
Published: January 2024

AbstractIn this article, we explore inconsistencies in the implementation of outdoor learning across Australian early years’ education. The benefits of outdoor learning justify regular employment of this pedagogical approach in both early childhood education and primary school settings. Early childhood education services provide daily outdoor learning opportunities as required by Australian national policy documents. However, Australian primary schools are not subject to such requirements and teachers often face challenges regarding outdoor learning, thus regular implementation in primary classes can be a low priority. As children in the year before school and the first year of school have similar learning and developmental needs, we argue that the benefits of outdoor learning should be available to all children across the early years. We also recommend regular outdoor learning in the first year of schooling to promote continuity as children transition from early childhood education to primary schools.
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review
Authors: Yu Fei , El-Zaatari Helal M. , Kosorok Michael R. , Carnegie Andrea , Dave Gaurav 
Published: January 2024

AbstractCollaboration has become crucial in solving scientific problems in biomedical and health sciences. There is a growing interest in applying social network analysis to professional associations aiming to leverage expertise and resources for optimal synergy. As a set of computational and statistical methods for analyzing social networks, exponential random graph models (ERGMs) examine complex collaborative networks due to their uniqueness of allowing for non-independent variables in network modeling. This study took a review approach to collect and analyze ERGM applications in health sciences by following the protocol of a systematic review. We included a total of 30 studies. The bibliometric characteristics revealed significant authors, institutions, countries, funding agencies, and citation impact associated with the publications. In addition, we observed five types of ERGMs for network modeling (standard ERGM and its extensions—Bayesian ERGM, temporal ERGM, separable temporal ERGM, and multilevel ERGM). Most studies (80%) used the standard ERGM, which possesses only endogenous and exogenous variables examining either micro- (individual-based) or macro-level (organization-based) collaborations without exploring how the links between individuals and organizations contribute to the overall network structure. Our findings help researchers (a) understand the extant research landscape of ERGM applications in health sciences, (b) learn to control and predict connection occurrence in a collaborative network, and (c) better design ERGM-applied studies to examine complex relations and social system structure, which is native to professional collaborations.
Novelty Evaluation using Sentence Embedding Models in Open-ended Cocreative Problem-solving
Authors: Ul Haq Ijaz , Pifarré Manoli , Fraca Estibaliz 
Published: January 2024

AbstractCollaborative creativity (cocreativity) is essential to generate original solutions for complex challenges faced in organisations. Effective cocreativity requires the orchestration of cognitive and social processes at a high level. Artificial Intelligence (AI) techniques, specifically deep learning sentence embedding models, have emerged as valuable tools for evaluating creativity and providing feedback to improve the cocreation process. This paper examines the implications of sentence embedding models for evaluating the novelty of open-ended ideas generated within the context of real-life project-based learning. We report a case study research design involving twenty-five secondary students, where a cocreative process was developed to solve a complex, open-ended problem. The novelty of the co-generated ideas was evaluated using eight pre-trained sentence embedding models and compared with experts’ evaluations. Correlation and regression analyses were performed to examine the reliability of the sentence embedding models in comparison to the experts’ scoring. Our findings disclose that sentence embedding models can solve the challenge of evaluating open-ended ideas generated during the cocreative process. Moreover, the results show that two-sentence embedding models significantly correlate better with experts- Universal Sentence Encoder Transformer (USE-T) and USE Deep Averaging Network (USE-DAN). These findings have a high pedagogical value as they successfully evaluate the novelty generated in a real problem-based environment that uses technology to promote key cocreative processes. Furthermore, the real-time evaluation facilitated by these models can have a strong pedagogical impact because it can provide valuable feedback to teachers and students, thereby optimising collaborative ideation processes and promoting effective cocreative teaching and learning methodologies.
Some Thoughts on Modeling Abrasion-Corrosion: Wear by Hard Particles in Corrosive Environments
Authors: Jiang Jiaren , Islam Md. Aminul , Xie Yongsong , Stack Margaret M. 
Published: January 2024

AbstractWear by hard particles can involve abrasion or erosion and is one of the most severe forms of wear. When a corrosive environment is present, the material loss rate can be significantly increased due to interactions (synergy) between the mechanical and chemical/electrochemical actions. In developing strategies for mitigating such adverse synergistic effect, it is important to understand the complex effect of various parameters on material loss under given tribocorrosion conditions. In this paper, a model is presented for wear-corrosion synergy in abrasive wear by hard particles applicable to many conditions in both the marine renewable (abrasion by high concentrations of large sand particles on tidal turbines) and extractive metallurgy (abrasive wear in mineral extraction). The mechanical wear loss is modeled based on the grooving mechanism (micro-cutting/micro-ploughing). Wear-enhanced corrosion is calculated from the fresh surface areas generated by grooving and the corresponding transient corrosion current. The concept of “corrosion-degraded layer” on the worn surface is introduced to account for the corrosion-enhanced wear; within this corrosion-degraded layer, the material loss rate is higher under the same mechanical wear conditions than in the material that is unaffected by corrosion. Based on the model, the effect of wear conditions on synergy in hard particle wear-corrosion has been discussed. The relative thickness of the corrosion-degraded layer to the depth of hard particle penetration (grooving) in the mechanical wear is found to be an important parameter in determining the relative severity of synergy in different tribocorrosion systems. Good qualitative agreement has been observed between the predictions and published experimental results obtained from a range of abrasion-corrosion and erosion-corrosion lab testing.
Numerical study of hydraulic fracturing on single-hole shale under fluid–solid coupling
Authors: Xia Xi , Wu Zhonghu , Song Huailei , Wang Wentao , Cui Hengtao , Tang Motian 
Published: January 2024

AbstractTo investigate the hydraulic fracture extension pattern of single-hole shale during hydraulic fracturing under fluid–solid coupling, this paper utilizes seepage–stress–damage coupling software to establish a mechanical model of hydraulic fracture initiation in single-hole shale under different pore pressure increments in seven groups. The results reveal that under the action of a single-hole pressure gradient, shale is destabilized and destroyed by shale instability after two damage degradations under the coupled action of hydraulic and peripheral pressures, the fracture network is fully developed, and the stress decreases sharply. The final damage pattern of the hydraulic fracture distribution is categorized into two types: “X” and “Y”. The hydraulic gradient under hydraulic fracturing is distributed as a closed-loop strip, the hydraulic gradient decreases layer by layer from the inside to the outside, the seepage field and stress field interact with each other, and the pore water pressure and stress are coupled with each other, resulting in increasingly complete fracture development.
An s-first return examination on s-sets
Authors: Bongiorno Donatella , Barbieri Giuseppina , Khalili Golmankhaneh Alireza 
Published: January 2024

AbstractThe purpose of this work is to analyze an integral of the s-Riemann type, where the gauge is a positive constant but the points involved in the s-Riemann sums are not randomly chosen. We demonstrate that, under this novel approach, every $${\mathcal {H}}^{s}$$

H

s

-Lebesgue integrable function is integrable.
Association of disaster-related damage with inflammatory diet among older survivors of the Great East Japan Earthquake and Tsunami
Authors: Yazawa Aki , Hikichi Hiroyuki , Shiba Koichiro , Okuzono Sakurako Shiba , Kondo Katsunori , Sasaki Satoshi , Kawachi Ichiro 
Published: January 2024

AbstractTraumatic experiences from disasters have enduring effects on health, both directly and indirectly by influencing health behaviours. Among potential pathways, the impact of disaster-related trauma on dietary patterns has been understudied. This study investigated the relationship between disaster-related trauma and dietary inflammatory index (DII®), and how these relationships differed by gender and whether they prepare meal by themselves or not among older survivors of the 2011 Great East Japan Earthquake and Tsunami (n 1375). Dietary data were collected in 2020 using a brief-type self-administered diet history questionnaire, from which we derived a dietary inflammatory index (DII®) based on twenty-six food/nutrient items, where higher scores indicate pro-inflammatory (i.e. unhealthy) diet. We found that the experience of housing damage due to the earthquake and tsunami was associated with slightly higher DII scores (coef. = 0·38, 95 % CI −0·05, 0·81). Specifically, women who cooked by themselves tended to have higher DII when they experienced housing damage (coef. = 1·33, 95 %CI −0·63, 3·28). On the other hand, loss of friends was associated with a lower DII score (coef. = −0·28, 95 % CI −0·54, −0·01). These findings highlight the importance of providing support to groups who are at increased risk of deterioration in dietary quality in the aftermath of disasters.
Beyond individual responsibility – towards a relational understanding of financial resilience through participatory research and design
Authors: Angsten Clark Anne , Davies Sara , Owen Richard , Williams Keir 
Published: January 2024

Abstract
This paper contributes to an increasingly critical assessment of a policy framing of ‘financial resilience’ that focuses on individual responsibility and financial capability. Using a participatory research and design process, we construct a ground-up understanding of financial resilience that acknowledges not only an individual’s actions, but the contextual environment in which they are situated, and how those relate to one another. We inductively identify four inter-connected dimensions of relational financial resilience: infrastructure (housing, health, and childcare), financial and economic factors (income, expenses, and financial services and strategies), social factors (motivation and community and family), and the institutional environment (policy and local community groups, support and advice services). Consequently, we recommend that social policies conceptualise financial resilience in relational terms, as a cross-cutting policy priority, rather than being solely a facet of individual financial capability.
A systematic review exploring evidence for adolescent understanding of concepts related to the developmental origins of health and disease
Authors: Tohi M. , Tu’akoi S. , Vickers M. H. 
Published: January 2024

AbstractThe developmental origins of health and disease (DOHaD) framework has highlighted the importance of the early life period on disease risk in later life with impacts that can span generations. A primary focus to date has been around maternal health and the ‘First Thousand Days’ as a key developmental window whereby an adverse environment can have lasting impacts on both mother and offspring. More recently, the impact of paternal health has gathered increasing traction as a key window for early life developmental programming. However, to date, adolescents, the next generation of parents, have attracted less attention as a key DOHaD window although many behavioural traits become entrained during adolescence and track into adulthood. This systematic review examined literature focused on identifying adolescent understanding of DOHaD concepts. Consistent across the eligible articles was that overall understanding of DOHaD-related concepts in adolescents was low. Three key themes emerged: 1. Individual-level awareness of DOHaD concepts (cognitive engagement and action of the adolescents themselves); 2. Interpersonal communication and social awareness of DOHaD concepts (cognitive engagement and communication of the DOHaD concepts to family and wider community); and 3. Health literacy and the promotion of adolescence as a key DOHaD life stage. These findings highlight the need to develop strategic approaches to increase DOHaD awareness that are not only appealing to adolescents but can also support sustained changes in health behaviour. Investment in today’s adolescents has the potential to act as a NCD ‘circuit breaker’ and thus will yield significant dividends for future generations.
Association between vitamin levels and obesity in the national health and nutrition examination surveys 2017 to 2018
Authors: Lu Xiaomin , Sun Zhongyou 
Published: January 2024

AbstractIn recent years, the rapidly increasing incidence of obesity is becoming a worldwide public health problem. Obesity is a chronic disease which may have a major negative effect on the people’s quality of life. Previous studies on the comprehensive effects of multivitamins on central obesity and general obesity are relatively few. The aim of this study was to evaluate association of vitamins exposure with obesity risk and obesity-related indicators. We fitted three statistical models (linear regression model, logistic regression model, and Bayesian kernel machine regression model) to evaluate the correlation between vitamin levels and obesity in the study population. The vitamin score represents the overall level of vitamin in serum, which was mutually verified with the results obtained from statistical model. The vitamin (A, C, and D) levels were significantly higher among non-obesity group compared to the obesity group. Using the lowest quartile of vitamin level as a referent, vitamin A, C, and D levels showed significantly negative correlation with the obesity risk in both adjusted and unadjusted models. When considering all vitamin as a mixed exposure, we found a generally negative relationship between vitamin mixtures with binary outcome (obesity) and continuous outcome (BMI, waist circumference, and hsCRP). Reduced levels of vitamins (A, C and D) increased the risk of obesity. Increased levels of vitamin mixtures can significantly reduce obesity risk and obesity-related indicators. Vitamins may reduce the risk of obesity by suppressing inflammatory responses.
Atmospheric water recycling an essential feature of critical natural asset stewardship
Authors: Keys Patrick W. , Collins Pamela M. , Chaplin-Kramer Rebecca , Wang-Erlandsson Lan 
Published: January 2024

Abstract

Non-technical summary
In this paper, we explore how critically important ecosystems on the land provide evaporation to the atmosphere, which will later fall as precipitation elsewhere. Using a model-based analysis that tracks water flowing through the atmosphere, we find that more than two-thirds of the precipitation over critically important ecosystem areas is supplied by evaporation from other land. Likewise, more than 40% of the evaporation from critically important ecosystems falls as precipitation on other land. We conclude our work by discussing the policy implications for how these critically important ecosystems connect spatially distant wild and working lands via the atmospheric water cycle.

Technical summary
Global ecosystems are interconnected via atmospheric water vapor flows. Land use change can modify evaporation from land, altering atmospheric moisture recycling and potentially leading to significant changes in downwind precipitation and associated ecological impacts. We combine insights on global ecosystem-regulated moisture recycling with an analysis of critical natural assets (CNA, the 30% of global land providing most of nature's contributions to people) to reveal the sources and sinks of atmospheric water cycle regulation. We find that 65% of the precipitation over CNA is supplied by evaporation from other land areas. Likewise, CNA regions supply critical moisture as precipitation to terrestrial natural ecosystems and production systems worldwide, with 44% of CNA evaporation falling on terrestrial surfaces. Specifically, the Congo River basin emerges as a hotspot of overlap between local atmospheric water cycle maintenance and concentration of nature's contributions to people. Our results suggest global priority areas for conservation efforts beyond and in support of CNA, emphasizing the importance of sparsely populated managed forests and rangelands, along with wild forests, for fostering moisture recycling to and within CNA. This work also underlines the manifold benefits associated with achieving United Nations Sustainable Development Goal #15, to sustainably manage terrestrial life and conserve biodiversity.

Social media summary
Critically important ecosystems are essential for connecting distant landscapes via the atmospheric water cycle.
Comparing Approximated Heat Stress Measures Across the United States
Authors: Ahn Yoonjung , Tuholske Cascade , Parks Robbie M. 
Published: January 2024

AbstractClimate change is escalating the threat of heat stress to global public health, with the majority of humans today facing increasingly severe and prolonged heat waves. Accurate weather data reflecting the complexity of measuring heat stress is crucial for reducing the impact of extreme heat on health worldwide. Previous studies have employed Heat Index (HI) and Wet Bulb Globe Temperature (WBGT) metrics to understand extreme heat exposure, forming the basis for heat stress guidelines. However, systematic comparisons of meteorological and climate data sets used for these metrics and the related parameters, like air temperature, humidity, wind speed, and solar radiation crucial for human thermoregulation, are lacking. We compared three heat measures (HImax, WBGTBernard, and WBGTLiljegren) approximated from gridded weather data sets (ERA5‐Land, PRISM, Daymet) with ground‐based data, revealing strong agreement from HI and WBGTBernard (R2 0.76–0.95, RMSE 1.69–6.64°C). Discrepancies varied by Köppen‐Geiger climates (e.g., Adjusted R2 HImax 0.88–0.95, WBGTBernard 0.79–0.97, and WBGTLiljegren 0.80–0.96), and metrological input variables (Adjusted R2 Tmax 0.86–0.94, Tmin 0.91–0.94, Wind 0.33, Solarmax 0.38, Solaravg 0.38, relative humidity 0.51–0.74). Gridded data sets can offer reliable heat exposure assessment, but further research and local networks are vital to reduce measurement errors to fully enhance our understanding of how heat stress measures link to health outcomes.
New Insight Into the Source and Sink of 227Ac in the Ocean
Authors: Seo Hojong , Lee Hanbyul , Kim Guebuem 
Published: January 2024

AbstractActinium‐227 (227Ac) has been used as a powerful tracer of diapycnal mixing in the ocean, assuming that it is conservative and originates mainly from deep‐sea sediments. However, here we show an unexpectedly large source (continental margin) and sink (scavenging) of 227Ac in the ocean, based on high‐resolution 227Ac distributions obtained for the first time by mooring Mn‐fibers in the East Sea (Japan Sea). Although we expected a decrease in radium‐228 (228Ra) to 227Ac ratios with depth owing to their different half‐lives, the ratios increased with depth in the upper layer, indicating efficient removal of 227Ac by particle scavenging. In addition, unusually high 227Ac activities (∼15 dpm m−3) were observed in the surface layer, likely due to the horizontal transport of 227Ac‐enriched shelf water. Thus, our results suggest refining our understanding of the geochemical cycle and application of 227Ac in the ocean.