bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of kidney injury in critically ill patients with earthquake‐induced crush syndrome: A case series of 18 patients
Authors: Aslan Murat , Bilgi Deniz Özel 
Published: November 2023

AbstractİntroductionIt was aimed primarily to analyze the development of acute kidney injury (AKI) and treatment management in critically ill patients who developed rhabdomyolysis due to earthquake‐related crush syndrome.MethodsWe evaluated 18 patients with crush syndrome who were admitted to the intensive care unit (ICU) after the great earthquake in February 2023 in Turkey.ResultsAKI occurred in 83% (n:15) of these patients after ICU admission (AKI‐1; 16.6% [n:3], AKI‐2; 16.6% [n:3], and AKI‐3; 50% [n:9]). While the majority of patients who developed crush syndrome were treated with high volume intravenous hydration, only 33% (n:6) of all patients required renal replacement therapy. All patients who developed AKI had complete recovery in renal functions at the end of 2 months.ConclusionThere is no need for routine renal replacement therapy in the treatment of AKI, which is frequently seen in patients with crush syndrome. Most can be treated with high volumes of intravenous fluid.
Interventional oncology in breast cancer
Authors: Orsi Franco 
Published: November 2023

AbstractBreast cancer (BC) is the most common cancer and one of the most important causes of death in women. Surgery is the standard therapy for breast cancer and in the last decades evolved towards a more conservative approach, with lumpectomy, followed by radiation therapy, the most common option. Unfortunately, up to 40% of women affected by BC will develop metastases and will receive systemic therapy, which improves survival and quality of life. Interventional oncology (IO), thanks to the improvement in technology and clinical experience, is gaining an important role in the field of breast cancer, both in treating the primary tumour and also in metastasis in well‐selected cases. Percutaneous thermal ablation and more recently cryoablation are reported to achieve promising results in the radical treatment of small breast cancer, with optimal cosmetic outcome and a very high safety profile. Percutaneous ablation as well as intra‐arterial therapies, such as chemoembolization and radioembolization, might also be indicated in metastatic BC patients. In advanced stage disease, breast cancer liver metastases (BCLM) represent the main factor affecting the overall survival. Metastatic breast disease is a systemic disease, with tumour deposits potentially spread into different organs and tissues for which systemic therapy is the standard approach. Local therapies for liver metastases might have an important role in improving survival and quality of life in well‐selected patients. Clinical and technical indications with their limitations, results and potential complications in local IO treatment for BCLM, will be also described.
ECOGEN: Bird sounds generation using deep learning
Authors: Guei Axel‐Christian , Christin Sylvain , Lecomte Nicolas , Hervet Éric 
Published: November 2023

Abstract

Large‐scale acoustic projects generate vast amounts of data that can now be efficiently processed using deep learning tools. However, these tools often face limitations due to sound labeling and imbalanced sampling. Data augmentation can help overcome such challenges, particularly through the generation of synthetic and lifelike sounds. Synthetic samples can be valuable not only for deep learning but also for species with limited available data. Despite advancements in computer power, sound generation remains a time‐consuming process, even requiring a substantial number of samples.

We present ECOGEN, a novel deep learning approach designed to generate realistic bird songs for biologists and ecologists. The primary objective of ECOGEN is to enhance the number of samples in under‐represented bird song classes, thereby improving the performance and robustness of classifiers in ecological research.The ECOGEN framework employs spectrograms as a representation of bird songs and leverages proven image generation techniques to create new spectrograms, subsequently converted back to digital audio signals. As a class‐agnostic tool, ECOGEN is applicable to a wide range of biophonic sounds, including mammal and insect calls.

We show that adding samples generated by ECOGEN to a bird song classifier improved the classification accuracy by 12% on average and improved results compared with classic data augmentation techniques 80% of the time.

Our approach is both fast and efficient, enabling the generation of synthetic bird songs on standard computing resources. By facilitating the creation of synthetic bird songs, ECOGEN can contribute to the conservation of endangered bird species, while providing valuable insights into their vocalizations, behaviours and habitat preferences. Future development of ECOGEN can be easily implemented and could focus on incorporating additional configurable parameters during the generation phase for increased control over the output, catering to the specific needs of biologists.
Assessment of the biointeractivity of a novel vital pulp therapy agent derived from eggshell biowaste: An in vitro study
Authors: Aksoy Merve , Karadaş Bakirhan Nurgül , Yücel Çiğdem , Atak Demet , Topsakal Kübra Gülnur , Bal Cenkhan 
Published: November 2023

AbstractThis study aimed to assess the calcium (Ca2+) and hydroxyl (OH−) ion‐releasing ability, namely the biointeractivity of eggshell‐derived hydroxyapatite (ESDHA) in comparison with mineral trioxide aggregate (MTA) and calcium hydroxide (CH). ESDHA, MTA and CH samples (n = 10; 8 × 1.6 mm) were immersed in 10 mL of deionised water (37°C, pH 6.8). Ca2+ and OH− ion releases were detected in 1, 7 and 21 days. Scanning electron microscopy and Fourier transform infrared spectroscopy analyses were also conducted. IBM SPSS 20.0 was used for statistical analyses. The cumulative Ca2+ ions (56.22 ± 11.28 ppm) were detected as most significant in ESDHA (day 21; p < 0.05). The OH− ion values of the ESDHA group were statistically higher than MTA and CH (days 1 and 7; p < 0.05). ESDHA and CH showed a similar pattern with sharp peaks in Ca2+, oxygen and carbon elements. ESDHA being a sustainable material with a high ion‐releasing ability may be a preferable alternative to the commercial vital pulp therapy agents.
Supporting children's recovery from bushfires: Stakeholders' views about the impact of a community‐based intervention program on children
Authors: McGill Nicole , Curtin Michael , Hodgins Gene , Parnell Tracey , Verdon Sarah , Crockett Judith , Davison Wendy Rose 
Published: November 2023

AbstractIntroductionA multidisciplinary Bushfire Recovery Program was developed by Royal Far West focused on reducing the short‐ and medium‐term impacts of the 2019‐2020 bushfires in Australia on children’s wellbeing and resilience.ObjectivesTo evaluate the impact of the Program’s psychosocial groups on children’s wellbeing and resilience.DesignA two‐phase mixed method approach was used, involving post‐intervention surveys and interviews of children impacted by the 2019‐2020 bushfires in Australia who participated in the Bushfire Recovery Program, their parents/carers, teachers, and the facilitators of the workshops. Statistical analysis was undertaken with quantitative data and content and thematic analysis of qualitative data.FindingsChildren learnt to talk to and trust adults, share thoughts and experiences with others, recognise they were not alone in their experiences, build connections with peers, understand and manage feelings, and implement strategies that enabled them to cope with change.DiscussionPsychosocial groups delivered in preschools and schools as part of the Bushfire Recovery Program reportedly led to significant learning and positive impacts for children in the areas of coping, wellbeing, and peer connections. Similar themes occurred across surveys and interviews and findings reflected the perceptions of the children who participated in the groups, and key adults around the children.ConclusionsCommunity‐based psychoeducational interventions can provide effective support in the short‐ and medium‐term post‐bushfire for children to develop strategies and skills to enable them to cope with changes and their emotional reactions.
Effects of propylene glycol used at different doses in Akkaraman lambs rations on metabolism‐related parameters and liver gene and protein expression during different feeding periods
Authors: Yakan Akın , Özkan Hüseyin , Kaya Ufuk , Keçeli Hasan Hüseyin , Dalkiran Sevda , Karaaslan Irem , Ünal Necmettin , Akçay Aytaç , Arslan Korhan , Akyüz Bilal , Güngör Güven , Çamdeviren Baran , Küçükoflaz Mehmet , Sariözkan Savaş , Özbeyaz Ceyhan 
Published: November 2023

AbstractThis study aimed to investigate the metabolic effects of propylene glycol (PG) over 60, 90, and 120 days in lambs. Seventy‐two weaned male lambs were allocated into three groups: control (Con), PG1.5 (1.5 mL/kg live weight0.75), and PG3 (3 mL/kg live weight0.75). Blood samples were collected at the beginning and slaughter days. Biochemical parameters (glucose, triglycerides, ALT, AST, LDH, BUN, and insulin) and gene and protein levels of peroxisome proliferator activated receptor gamma (PPARγ), diacylglycerol o‐acyltransferase 1 (DGAT1), carbohydrate responsive element binding protein (ChREBP), and sterol regulatory element binding transcription factor 1c (SREBP‐1c) in the liver were determined. Glucose in PG1.5 was increased on Day 60, while significant differences were observed in biochemical parameters except for insulin on the 60, 90, and 120 days. Biochemical parameters such as ALT, AST, LDH, and BUN increased over time, while triglycerides decreased. DGAT1 gene and protein levels were lower, while SREBP‐1c and PPARγ were higher in PG groups on Day 60. While SREBP‐1c was lower in PG1.5, ChREBP was higher in PG3 on Day 90. PPARγ, DGAT1, and ChREBP were upregulated in PG3 on Day 120. Positive correlations were found between proteins. The long‐term use of PG in lambs did not have detrimental effects on metabolism. The study provides valuable insights into the molecular mechanisms underlying the metabolic effects of PG in lambs, shedding light on its potential applications in lamb production.
Use of the universal scan template to achieve a predictable optical impression: Preliminary data of a case series study in complete edentulous patients
Authors: Campana Veronica , Papa Andrea , Silvetti Manuel Amilcare , Del Fabbro Massimo , Testori Tiziano 
Published: November 2023

AbstractBackgroundFull‐arch IOS scan of edentulous areas rehabilitated with dental implants is nowadays still described as an unpredictable procedure. To improve the accuracy, a universal scan template (UST®) is proposed in this article. The clinician can easily assemble the template with a mechanical coupling, by matching the scan bodies with objects of known dimension characterized by specific markers. The UST® facilitates the scanning of an entire arch on scan bodies, reducing the learning curve, simplifying acquisition movements, shortening the scanning time, and drastically reducing the risk of distortions and aberrations of the scans.Materials and MethodsIn a case series study on 12 patients, the improvement in the accuracy of the scans with UST® was validated by comparing the STL files derived from scans with and without the guide in place. A titanium bar was produced from each optical impression.ResultsThe bars obtained from the optical impressions taken without UST® were found to be nonpassive in the mouth in the majority of the cases. On the contrary with the use of UST® we obtained 12 passive prosthetic rehabilitations.ConclusionsThe proposed solution may represent a valid method to improve the predictability of full arch optical impressions on implants.
Inter‐ and intraindividual variability in virtual single‐tooth implant positioning
Authors: Raabe Clemens , Biel Philippe , Dulla Fabrice A. , Janner Simone F. M. , Abou‐Ayash Samir , Couso‐Queiruga Emilio 
Published: November 2023

AbstractObjectivesThe purpose of this prospective study was to determine the inter‐ and intraindividual variability in virtual single‐tooth implant positioning based on the level of expertise, specialty, total time spent, and the use of a prosthetic tooth setup.Materials and MethodsVirtual implant planning was performed on matched pre‐ and post‐extraction intraoral scans (IOS), and cone‐beam computed tomography scans of 15 patients. Twelve individual examiners, involving six novices and experts from oral surgery and prosthodontics positioned the implants, first based on anatomical landmarks utilizing only the post‐extraction, and second with the use of the pre‐extraction IOS as a setup. The time for implant positioning was recorded. After 1 month, all virtual plannings were performed again. The individual implant positions were superimposed to obtain 3D deviations using a software algorithm.ResultsAn interindividual variability with mean angular, crestal, and apical positional deviations of 3.8 ± 1.94°, 1.11 ± 0.55, and 1.54 ± 0.66 mm, respectively, was found. When assessing intraindividual variability, deviations of 3.28 ± 1.99°, 0.78 ± 0.46, and 1.12 ± 0.61 mm, respectively, were observed. Implants planned by experts exhibited statistically lower deviations compared to those planned by novices. Longer planning times resulted in lower deviations in the experts' group but not in the novices. Oral surgeons demonstrated lower crestal, but not angular and apical deviations than prosthodontists. The use of a setup only led to minor adjustments.ConclusionsSubstantial inter‐ and intraindividual variability exists during implant positioning utilizing specialized software planning. The level of expertise and the time invested influenced the deviations of the implant position during the planning sequence.
Single‐center experience with early liver transplantation for acute alcohol‐related hepatitis—Limitations of the SALT score and directions for future study
Authors: Ivkovic Ana , Nisavic Mladen , Yang Alexander H. , Punko Diana , Aaron Ashley Elizabeth , Keegan Eileen , Bethea Emily D. , Yeh Heidi 
Published: November 2023

AbstractAlcohol‐related liver disease (ALD) is the leading indication for liver transplantation worldwide. Since Mathurin et al. described their experience in providing early liver transplantation for patients with ALD in 2011, other centers have followed suit with generally favorable survival outcomes. This patient population poses a unique clinical challenge given the expedited nature of the evaluation and the lack of any significant sobriety period prior to transplantation. The SALT (Sustained Alcohol Use Post‐Liver Transplant) score is a standardized psychometric tool increasingly used to help stratify the risk of relapse and guide listing decisions for these challenging clinical situations. In 2018, our center introduced a protocol for early liver transplantation for acute alcohol‐related hepatitis (AAH). In this article, we offer a retrospective review of 26 patients transplanted between May 2018 and May 2021, including at least 1‐year follow‐up, and compare outcomes to initial SALT scores; we further identify additional factors that may impact post‐transplant success. As transplant committees continue to weigh the ethical dilemma of denying lifesaving treatment against the obligation to remain stewards of a limited resource, we aim to contribute to a more nuanced understanding of risk regarding early transplantation for ALD.
Market concentration and the relative demand for college‐educated labour
Authors: Akerman Anders 
Published: November 2023

AbstractIf large firms employ relatively more educated workers, will an increase in market concentration increase income inequality by raising the relative demand for skill? I use Swedish employer–employee data from 1997–2016 and find a strong correlation between firm size and the share of college‐educated (‘skilled’) workers. An increase in a sector's market concentration is correlated with a higher skilled wage premium and higher relative employment of skilled workers. This is due mainly to the reallocation of workers across firms. I demonstrate how these findings can be explained by a model of heterogeneous firms where productivity and skill intensity are positively correlated.
Joint object contour points and semantics for instance segmentation
Authors: Zhang Wenchao , Fu Chong , Zhu Mai , Cao Lin , Tie Ming , Sham Chiu‐Wing 
Published: November 2023

AbstractThe edges of objects are of great significance to the task of instance segmentation. However, most of the current popular deep neural networks do not pay much attention to the object edge information. More importantly, using the down‐sampling pooling layer in the deep learning network, the edge detail information of the object will be lost. To address this issue, inspired by the manual annotation process, we propose Mask Point R‐CNN aiming at promoting the neural network's attention to the object boundary. Specifically, we introduce the auxiliary task of object contour point detection on the Mask R‐CNN framework, which can effectively improve the gradient flow between different tasks by multi‐task learning and repairing objects' boundary information via feature fusion. Consequently, the model can be more sensitive to the edges of the object and capture more geometric features. Quantitatively, the experimental results show that our Mask Point R‐CNN outperforms vanilla Mask R‐CNN by 3.8% on the Cityscapes dataset and 0.8% on the COCO dataset.
Calibrating an adaptive cohesive zone model to simulate ductile crack propagation in structural steel under cyclic loading
Authors: Ziccarelli Andy , Kanvinde Amit , Deierlein Gregory 
Published: November 2023

AbstractA procedure is outlined for calibrating a finite element model to simulate ductile cracking that employs a continuum damage criterion for ductile fracture initiation, termed the Stress Weighted Ductile Fracture Model, with an Adaptive Cohesive Zone method to simulate crack propagation. The proposed procedure is implemented and validated with data from 44 coupon‐scale tests of an A913 structural steel. The fracture model calibration is performed in two stages to determine parameters to evaluate: (1) the continuum damage mechanics criterion and (2) ductile crack initiation and propagation. Sensitivity of the calibration to parameter uncertainty is evaluated using synthetic data, followed by calibration and validation against experimental test data. The results indicate that the computational model can accurately simulate the overall response of experimental specimens, as well as other key aspects of observed behavior, including crack tunneling and crack face closure. Guidelines are provided for practical calibration of the model components.
Historical rhapsody: Citation and pseudo‐citation in Herder's Auch eine Philosophie der Geschichte zur Bildung der Menschheit
Authors: Ellison Tim 
Published: November 2023

AbstractStudies of Johann Gottfried Herder's style have neglected to discuss his often baffling use of citations. This article seeks to remedy that absence with close attention to particularly rich examples of his citational practice in Auch eine Philosophie der Geschichte zur Bildung der Menschheit. The article suggests that Herder's use of citations creates a polyphonic text that reflects a polyphonic vision of history. Through close attention to select examples of Herder's citations and his manipulations of source material, the article demonstrates that Herder's citational practice may have more design than at first appears. Herder's text proves to be, at least in part, a rhapsodic stitching‐together of dispersed voices, gathered under a thematic of intra‐textual conversation.
Scorpion assemblages in threatened Brazilian forests: The role of environmental factors in explaining beta‐diversity patterns
Authors: de Araujo Lira André Felipe , de Moura Geraldo Jorge Barbosa , Foerster Stênio Ítalo Araújo 
Published: November 2023

AbstractA systematic understanding of the variation in species composition across time and space is urgently needed to protect threatened Brazilian forests.This study has disentangled the among‐site variation in beta diversity among scorpion assemblages from the Caatinga and Atlantic Forest. We calculated the relative contribution of species replacement and differences in species richness in explaining the beta diversity in each forest, correlating such metrics with environmental characteristics. Finally, we estimated the relative site‐specific contribution to identify potential environmental drivers determining unique combinations of species composition.The average among‐site dissimilarity in scorpion assemblages was higher in the Caatinga than that in the Atlantic Forest. The differences in species composition among Caatinga sites were mainly due to the spatial replacement of species. Differences in species richness at the local scale explained most of the variation in species composition among Atlantic Forest sites.Environmental variables related to topography and land use partially explained the variation in among‐site dissimilarity, species replacement, differences in species richness and the ecological uniqueness in terms of species composition in the Caatinga. Environmental variables describing topography and land use were also important in explaining differences in species richness and local contributions to the beta diversity among Atlantic Forest sites. The relative site‐specific contribution to beta diversity was higher in Caatinga sites located in ecotonal zones and Atlantic Forest sites situated within conservation reserves.Using scorpions as biological models, we have demonstrated that the species composition does not vary in a consistent way between different forest types.