bluuebunny/crossref_metadata_2025_split huggingface dataset:
Visualization Mapping and Current Trends of Facial Contouring Procedures: A Bibliometric Analysis Based on Web of Science
Authors: Li Xin , Luo Yucheng , Zhang Yan 
Published: April 2024

Background:
Facial contouring procedures become popular in recent years, but there has been no bibliometric analysis focused on this field.

Objective:
Construct visualization maps and analyze the hotspots and current trends in this field using bibliometric analysis.

Methods:
Publications on facial contouring procedures were extracted from the Web of Science Core Collection database from 2003 to 2022. VOSviewer, CiteSpace, and “Bibliometrix” R package were used to analyze data.

Results:
Seven hundred and twenty-one publications on facial contouring procedures between 2003 and 2022 were included. The United States was the leading country both in publications (206) and citations (3941). Shanghai Jiao Tong University was the institution with the greatest contribution (35 publications with 379 citations). Hu J (17 publications) from China had the most outputs, while the most cited author was Rohrich RJ (321 citations) from the United States. The Journal of Craniofacial Surgery (135 documents) published the most research, and Plastic and Reconstructive Surgery was the most cited journal (2755 citations). The most cited article focused on virtual surgical planning in mandibular reconstruction. Keywords co-occurrence analysis identified five clusters centered on “reconstruction,” “augmentation,” “reduction malarplasty,” “face rejuvenation,” and “orthognathic surgery,” separately. “Hyaluronic acid,” “facial feminization,” and “orthognathic surgery” might be related to trend topics.

Conclusions:
The research on facial contouring procedures is booming. In the past 2 decades, hotspots in this field included: facial defects reconstruction, facial augmentation cosmetology, facial skeletal contour plasty, and facial rejuvenation surgery. The following aspects may be trend frontiers: precision and personalization, combined treatments, transgender facial contour, and facial contour shaping with fat and hyaluronic acid.
Is barbed better? Evaluation of triclosan-coated barbed suture on wound complications following emergency laparotomy
Authors: Dilday Joshua , McGillen Patrick , Park Stephen , Gallagher Shea , Lee Heewon , Schellenberg Morgan , Matsushima Kazuhide , Inaba Kenji , Martin Matthew J. 
Published: April 2024

INTRODUCTION
Emergent laparotomy is associated with significant wound complications including surgical site infections (SSIs) and fascial dehiscence. Triclosan-coated barbed (TCB) suture for fascial closure has been shown to reduce local complications but primarily in elective settings. We sought to evaluate the effect of TCB emergency laparotomy fascial closure on major wound complications.

METHODS
Adult patients undergoing emergency laparotomy were prospectively evaluated over 1 year. Patients were grouped into TCB versus polydioxanone (PDS) for fascial closure. Subanalysis was performed on patients undergoing single-stage laparotomy. Primary outcomes were SSI and fascial dehiscence. Multivariate analysis identified independent factors associated with SSI and fascial dehiscence.

RESULTS
Of the 206 laparotomies, 73 (35%) were closed with TCB, and 133 (65%) were closed with PDS. Trauma was the reason for laparotomy in 73% of cases; damage-control laparotomy was performed in 27% of cases. The overall rate of SSI and fascial dehiscence was 18% and 10%, respectively. Operative strategy was similar between groups, including damage-control laparotomy, wound vac use, skin closure, and blood products. Surgical site infection events trended lower with TCB versus PDS closure (11% vs. 21%, p = 0.07), and fascial dehiscence was significantly lower with TCB versus PDS (4% vs. 14%, p < 0.05). Subanalysis of trauma and nontrauma cases showed no difference in SSI or fascial dehiscence. Multivariable analysis found that TCB decreased the likelihood of fascial dehiscence (odds ratio, 0.07; p < 0.05) following emergency laparotomy. Increased odds of fascial dehiscence were seen in damage-control laparotomy (odds ratio, 3.1; p < 0.05).

CONCLUSION
Emergency laparotomy fascial closure with TCB showed significantly decreased rates of fascial dehiscence compared with closure with PDS and a strong trend toward lower SSI events. Triclosan-coated barbed suture was independently associated with decreased fascial dehiscence rates after emergency laparotomy.

LEVEL OF EVIDENCE
Therapeutic/Care Management; Level III.
Contemporary diagnosis and management of colorectal injuries: What you need to know
Authors: Fields Adam , Salim Ali 
Published: April 2024

ABSTRACT
Colorectal injuries are commonly encountered by trauma surgeons. The management of colorectal injuries has evolved significantly over the past several decades, beginning with wartime experience and subsequently refining with prospective randomized studies. Colon injuries were initially nonoperative, evolved toward fecal diversion for all, and then became anatomic based with resection and primary anastomosis with selective diversion, and now primary repair, resection with primary anastomosis, and delayed anastomosis after damage-control laparotomy are all commonplace. Rectal injuries were also initially considered nonoperative until diversion came into favor. Diversion in addition to direct repair, presacral drain placement, and distal rectal washout became the criterion standard for extraperitoneal rectal injuries until drainage and washout fell out of favor. Despite a large body of evidence, there remains a debate on the optimal management of some colorectal injuries. This article will focus on how to diagnose and manage colorectal injuries. The aim of this review is to provide an evidence-based summary of the contemporary diagnosis and management of colorectal injuries.
Plasma proteomics profile-based comparison of torso versus brain injury: A prospective cohort study
Authors: Tachino Jotaro , Togami Yuki , Matsumoto Hisatake , Matsubara Tsunehiro , Seno Shigeto , Ogura Hiroshi , Oda Jun 
Published: April 2024

BACKGROUND
Trauma-related deaths and posttraumatic sequelae are a global health concern, necessitating a deeper understanding of the pathophysiology to advance trauma therapy. Proteomics offers insights into identifying and analyzing plasma proteins associated with trauma and inflammatory conditions; however, current proteomic methods have limitations in accurately measuring low-abundance plasma proteins. This study compared plasma proteomics profiles of patients from different acute trauma subgroups to identify new therapeutic targets and devise better strategies for personalized medicine.

METHODS
This prospective observational single-center cohort study was conducted between August 2020 and September 2021 in the intensive care unit of Osaka University Hospital in Japan. Enrolling 59 consecutive patients with blunt trauma, we meticulously analyzed plasma proteomics profiles in participants with torso or head trauma, comparing them with those of controls (mild trauma). Using the Olink Explore 3072 instrument (Olink Proteomics AB, Uppsala, Sweden), we identified five endotypes (α–ε) via unsupervised hierarchical clustering.

RESULTS
The median time from injury to blood collection was 47 minutes [interquartile range, 36–64 minutes]. The torso trauma subgroup exhibited 26 unique proteins with significantly altered expression, while the head trauma subgroup showed 68 unique proteins with no overlap between the two. The identified endotypes included α (torso trauma, n = 8), β (young patients with brain injury, n = 5), γ (severe brain injury postsurgery, n = 8), δ (torso or brain trauma with mild hyperfibrinolysis, n = 18), and ε (minor trauma, n = 20). Patients with torso trauma showed changes in blood pressure, smooth muscle adaptation, hypermetabolism, and hypoxemia. Patients with traumatic brain injury had dysregulated blood coagulation and altered nerves regeneration and differentiation.

CONCLUSION
This study identified unique plasma protein expression patterns in patients with torso trauma and traumatic brain injury, helping categorize five distinct endotypes. Our findings may offer new insights for clinicians, highlighting potential strategies for personalized medicine and improved trauma-related care.

LEVEL OF EVIDENCE
Prognostic and Epidemiological; Level III.
Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models
Authors: Reddy Sandeep , Roy Supriya , Choy Kay Weng , Sharma Sourav , Dwyer Karen M , Manapragada Chaitanya , Nakisa Bahareh 
Published: April 2024

AbstractChronic kidney disease (CKD) poses a major global public health burden, with approximately 7 million affected. Early identification of those in whom disease is likely to progress enables timely therapeutic interventions to delay advancement to kidney failure. This study developed explainable machine learning models leveraging pathology data to accurately predict CKD trajectory, targeting improved prognostic capability even in early stages using limited datasets. Key variables used in this study include age, gender, most recent estimated glomerular filtration rate (eGFR), mean eGFR, and eGFR slope over time prior to incidence of kidney failure. Supervised classification modelling techniques included decision tree and random forest algorithms selected for interpretability. Internal validation on an Australian tertiary centre cohort (n=706; 353 with kidney failure and 353 without) achieved exceptional predictive accuracy, with the area under the receiver operating characteristic curve (ROC-AUC) reaching 0.94 and 0.98 on the binary task of predicting kidney failure for decision tree and random forest, respectively. To address the inherent class imbalance, centroid-cluster-based under-sampling was applied to the Australian dataset. To externally validate the performance of the model, we applied the model to a dataset (n=597 adults) sourced from a Japanese CKD registry. To overcome risks of overfitting on small sample sizes, transfer learning was subsequently employed by fine-tuned machine learning models on 15% of the external dataset (n=89) before evaluating the remaining 508 patients. This external validation demonstrated performant results with an ROC-AUC of 0.88 for the decision tree and 0.93 for the random forest model. Decision tree model analysis revealed the most recent eGFR and eGFR slope as the most informative variables for prediction in the Japanese cohort, aligning with the underlying pathophysiology. The research highlights the utility of deploying explainable machine learning techniques to forecast CKD trajectory even in the early stages utilising limited real-world datasets.
A simple risk score for chronic kidney disease using administrative data: A population-based cohort study
Authors: Tonelli Marcello , Wiebe Natasha 
Published: April 2024

AbstractBackgroundWe did this study to develop and validate a risk score for new chronic kidney disease (CKD), focusing on predictors that are typically available in Canadian administrative health datasets.MethodsThis was a retrospective population-based cohort study using data from the Alberta Kidney Disease Network database: 3,558,192 adult participants were followed from April 1, 2007 to March 31, 2019. We developed a simple score to predict reduced glomerular filtration rate using bootstrapping (100 iterations with replacement) and internally validated the score using the original dataset.FindingsThe final score had a maximum total of 9 points: age 50-70 years, moderate albuminuria, hypertension, diabetes and heart failure all received a single point, and age >70 years and severe albuminuria received three points. The C-statistic of the score for incident CKD was 0.9272 and the Brier score was 0.0053, indicating excellent discrimination. Graphical analysis demonstrated that predicted risk closely aligned with the observed risk of developing CKD, indicating a well-calibrated model.InterpretationWe have derived and internally validated a risk score for new CKD which is suitable for application to routinely collected Canadian administrative health data.FundingDavid Freeze chair in health services research
Assessing knowledge organization systems from a gender perspective: Wikipedia taxonomy and Wikidata ontologies
Authors: Centelles Miquel , Ferran-Ferrer Núria 
Published: April 2024

PurposeDevelop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.Design/methodology/approachThis study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.FindingsThis study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.Originality/valueThe assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.
The mediating effect of bank risk on the relationship between diversification strategies and discretionary loan loss provisions
Authors: Ben Rejeb Mouna , Merzki Nozha 
Published: April 2024

Purpose
This study aims to investigate the effect of income and asset diversification on earnings management using discretionary loan loss provisions (LLP) in banks, and the role of risk level in mediating this effect.

Design/methodology/approach
A sample of banks operating in Middle East and North Africa countries was used to test the mediation model of Baron and Kenny (1986) with different measures of diversification and risk.

Findings
The results show that bank income and asset diversification have unique and combined effects on earnings management. The results also support the idea that a risk-mediating effect contributes to explaining this relationship among banks. Specifically, bank diversification strategies positively affect LLP-based earnings management by increasing bank risk. This result is relevant for conventional banks. However, only a direct and positive effect of diversification strategies on LLP-based earnings management can be observed in Islamic banks, and the indirect effect is not supported.

Originality/value
This study extends previous research by examining the unique and combined effects of income and asset diversification strategies on earnings management in the banking sector. Specifically, it provides new evidence that diversification strategies increase LLP-based earnings management, both directly and indirectly, through bank risk.
Allocating marketing funds: a multi-goal approach
Authors: Baidya Mehir , Maity Bipasha , Ghose Supriyo 
Published: April 2024

Purpose
There has been a lot of research on how to set marketing budgets, but the overlooked aspect was how allocating funds influences business performance in a multi-goal context. This study aims to examine the relationship between business performance, the process of allocating funds to multiple goals and the interaction among the goals.

Design/methodology/approach
Ratio data were generated through “a constant sum scale” from a sample of 362 managers from the B2C sector, besides data on after-tax revenue for two years. The data file was created. Then, a factor analysis was performed on the data. Furthermore, an econometric model with interaction terms was fitted to the data.

Findings
The results show that allocating funds to multiple marketing goals – demand generation, customer experience, brand image, marketing competency and purchase intention – influences business performance. Furthermore, a goal’s impact on business performance is higher when coupled with other goals than in isolation.

Practical implications
The findings of the study should assist managers in increasing revenue while spending less on marketing and shifting funds from less efficient goals and pairs of goals to highly efficient ones.

Originality/value
By extending the relevant theory on the relationship between the process of marketing fund allocation, multiple goals and business performance, this study contributes to the literature on marketing.
One‐way waveform inversion: Real marine data application
Authors: Ben‐hassine Aimen , Duprat Véronique , Baina Reda , Brito Daniel 
Published: April 2024

AbstractThe reflection waveform inversion is a powerful technique to build a large‐scale velocity model of the subsurface by fitting the reflected recorded seismic waves. The reflection waveform inversion is designed based on the pillar concept of model and data‐scale separation. Therefore, its success is related to the ability of its forward modelling engine to separate reflected events distinctly from other propagation modes (diving waves, multiples, etc.). However, the standard Born modelling based on the two‐way wave equation may generate internal multiples in case of an insufficient smooth background model. These internal multiples may lead to a distorted sensitivity kernel, which adds more non‐linearity to the inverse problem. In addition, simulating the wave equation using two‐way propagators is still an overburden step of the algorithm especially in large three‐dimensional real surveys. In this proposal, we introduce an alternative to the two‐way wave equation by using a one‐way approach for the reflection waveform inversion. The Born modelling based on one‐way propagators significantly reduces the computational cost and I think it should be allows to relax the smooth background velocity model assumption by restricting the forward modelling to primary reflected waves. After a brief theoretical description of the one‐way waveform inversion, we present an application of the algorithm on the real marine dataset to review its promises and pitfalls. Our approach produces an acceptable large‐scale velocity model whose accuracy is confirmed by the migrated image and the offset gathers.
Restrictiveness of Medicare Advantage provider networks across physician specialties
Authors: Feyman Yevgeniy , Figueroa Jose , Garrido Melissa , Jacobson Gretchen , Adelberg Michael , Frakt Austin 
Published: April 2024

AbstractObjectiveThe objective was to measure specialty provider networks in Medicare Advantage (MA) and examine associations with market factors.Data Sources and Study SettingWe relied on traditional Medicare (TM) and MA prescription drug event data from 2011 to 2017 for all Medicare beneficiaries in the United States as well as data from the Area Health Resources File.Study DesignRelying on a recently developed and validated prediction model, we calculated the provider network restrictiveness of MA contracts for nine high‐prescribing specialties. We characterized network restrictiveness through an observed‐to‐expected ratio, calculated as the number of unique providers seen by MA beneficiaries divided by the number expected based on the prediction model. We assessed the relationship between network restrictiveness and market factors across specialties with multivariable linear regression.Data Collection/Extraction MethodsPrescription drug event data for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017.Principal FindingsProvider networks in MA varied in restrictiveness. OB‐Gynecology was the most restrictive with enrollees seeing 34.5% (95% CI: 34.3%–34.7%) as many providers as they would absent network restrictions; cardiology was the least restrictive with enrollees seeing 58.6% (95% CI: 58.4%–58.8%) as many providers as they otherwise would. Factors associated with less restrictive networks included the county‐level TM average hierarchical condition category score (0.06; 95% CI: 0.04–0.07), the county‐level number of doctors per 1000 population (0.04; 95% CI: 0.02–0.05), the natural log of local median household income (0.03; 95% CI: 0.007–0.05), and the parent company's market share in the county (0.16; 95% CI: 0.13–0.18). Rurality was a major predictor of more restrictive networks (−0.28; 95% CI: −0.32 to −0.24).ConclusionsOur findings suggest that rural beneficiaries may face disproportionately reduced access in these networks and that efforts to improve access should vary by specialty.
Gamma ray‐irradiated fibroin protein from Bombyx mori protects against TNF‐α‐induced oxidative stress and inflammation in human skin keratinocytes through NF‐κB and Nrf2 signaling pathways
Authors: Park Hyun‐Ji , Kwon Mi‐Jin , Lee Gye Won , Cho Young Ho 
Published: April 2024

AbstractSilk fibroin from Bombyx mori has traditionally been utilized for garment production; however, recently, it has become feasible to manufacture edible and cosmetic products using this material. Gamma‐ray irradiation can improve physiological activity through the modification of the structure of proteins in biological materials. In this study, we examined whether gamma ray‐irradiated fibroin protein (gFP) has a protective effect on tumor necrosis factor alpha (TNF‐α)‐induced cellular stress through a change in protein structure. First, we confirmed that the structure of FP was changed by gamma‐ray irradiation using electrophoresis, UV spectra and Fourier‐transform infrared spectroscopy (FT‐IR). We further investigated the cytoprotective potential of 20 kGy‐irradiated fibroin protein (gFP20) in human skin keratinocytes (HaCaT cells) exposed to extracellular stress. gFP20 effectively decreased TNF‐α‐induced matrix metalloproteinase‐1 (MMP‐1) overexpression and restored reduced type‐1 procollagen in HaCaT cells. This reduction occurred concomitantly with suppressed nuclear factor‐κB (NF‐κB) nuclear translocation, resulting in a decreased level of inflammatory mediator and pro‐inflammatory cytokines. Furthermore, gFP20 protected cells from TNF‐α‐induced oxidative stress by attenuating reactive oxygen species (ROS) overexpression and increasing the production of the antioxidant enzyme heme oxygenase‐1 (HO‐1) through the stimulation of the translocation of nuclear factor erythroid 2‐related factor 2 (Nrf2) into the nucleus. Taken together, our findings indicate that low‐dose irradiated fibroin protein (gFP20) could be considered as a functional material for skincare products.