bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of three common centrifugation protocols for platelet-rich fibrin (PRF) as a bio-carrier for ampicillin/sulbactam: a prospective trial
Authors: Straub Anton , Utz Chiara , Stapf Maximilian , Vollmer Andreas , Kasper Sylvia , Kübler Alexander C. , Brands Roman C. , Hartmann Stefan , Lâm Thiên-Trí 
Published: August 2023

Abstract
Objectives
Different platelet-rich fibrin (PRF) protocols exist and are known to differ in resulting mechanical and bioactive properties. Centrifugation parameters may also influence drug release, in particular antibiotics, when using PRF as a bio-carrier. We thus evaluated three common protocols regarding effects on the bio-carrier properties.

Materials and methods
In a prospective trial comprising 33 patients, we compared different protocols for PRF as a bio-carrier for ampicillin/sulbactam (SAM). Blood samples were taken shortly after a single dose of ampicillin/sulbactam (2 g/1 g) was administered to patients intravenously. PRF was obtained by centrifugation and three protocols were used: protocol A (1300 rpm, 8 min, RCF-max = 208 g), B (2300 rpm, 12 min, RCF-max = 652 g), and C (1500 rpm, 14 min, RCF-max = 276 g). The antibacterial activity of PRF was investigated against five oral species in vitro, based on agar diffusion methodology.

Results
The study demonstrates that a single dose of SAM is sufficient to reach high concentrations in PRF in all protocols (150 µg/ml), which is comparable to the plasma SAM concentration. Antibacterial activity was inferred from the diameter of inhibition zones seen in agar diffusion tests using PRF discs. Protocol B resulted in the largest inhibition zones. One-way ANOVA revealed statistically improved results for protocol B for some bacteria.

Conclusions
The study provides valuable data on PRF antibiotic enrichment, notably SAM. A single dose of SAM is sufficient to reach clinically relevant concentrations in PRF.

Clinical relevance
These findings potentially extend the application of PRF, for example in patients with osteonecrosis of the jaw or in oral surgery (e.g., stick bone).
Associations of polygenic inheritance of physical activity with aerobic fitness, cardiometabolic risk factors and diseases: the HUNT study
Authors: Tynkkynen Niko Paavo , Törmäkangas Timo , Palviainen Teemu , Hyvärinen Matti , Klevjer Marie , Joensuu Laura , Kujala Urho , Kaprio Jaakko , Bye Anja , Sillanpää Elina 
Published: August 2023

AbstractPhysical activity (PA), aerobic fitness, and cardiometabolic diseases (CMD) are highly heritable multifactorial phenotypes. Shared genetic factors may underlie the associations between higher levels of PA and better aerobic fitness and a lower risk for CMDs. We aimed to study how PA genotype associates with self-reported PA, aerobic fitness, cardiometabolic risk factors and diseases. PA genotype, which combined variation in over one million of gene variants, was composed using the SBayesR polygenic scoring methodology. First, we constructed a polygenic risk score for PA in the Trøndelag Health Study (N = 47,148) using UK Biobank single nucleotide polymorphism-specific weights (N = 400,124). The associations of the PA PRS and continuous variables were analysed using linear regression models and with CMD incidences using Cox proportional hazard models. The results showed that genotypes predisposing to higher amount of PA were associated with greater self-reported PA (Beta [B] = 0.282 MET-h/wk per SD of PRS for PA, 95% confidence interval [CI] = 0.211, 0.354) but not with aerobic fitness. These genotypes were also associated with healthier cardiometabolic profile (waist circumference [B = -0.003 cm, 95% CI = -0.004, -0.002], body mass index [B = -0.002 kg/m2, 95% CI = -0.004, -0.001], high-density lipoprotein cholesterol [B = 0.004 mmol/L, 95% CI = 0.002, 0.006]) and lower incidence of hypertensive diseases (Hazard Ratio [HR] = 0.97, 95% CI = 0.951, 0.990), stroke (HR = 0.94, 95% CI = 0.903, 0.978) and type 2 diabetes (HR = 0.94, 95 % CI = 0.902, 0.970). Observed associations were independent of self-reported PA. These results support earlier findings suggesting small pleiotropic effects between PA and CMDs and provide new evidence about associations of polygenic inheritance of PA and intermediate cardiometabolic risk factors.
Differential Effects of an Early Childhood Care Preventive Intervention Program on Behavior and Emotional Problems
Authors: Zarra-Nezhad Maryam , Moazami-Goodarzi Ali , Muotka Joona , Hess Markus , Havu-Nuutinen Sari , Scheithauer Herbert 
Published: August 2023

AbstractEarly childhood is a crucial time for developing social-emotional skills, offering the opportunity to lay the foundation for healthy development. However, early childhood behavior problems are risk factors for problems and disorders in later life phases, including depression, antisocial behavior, and substance abuse. This study uses a longitudinal design to examine the differential impact of a preventive intervention and social-emotional learning program (Papilio-3to6) on children’s social-emotional development. The program was evaluated using a 1-year-randomized controlled trial design with an intervention (IG) and control group (CG) that provided data at a pretest and post-test. Teachers rated 627 children’s behaviors (MAGE = 56.77 months at pretest) from 50 daycare center groups using the Strengths and Difficulties Questionnaire (SDQ). To investigate differential effectiveness, a latent profile analysis at the pretest identified three distinct subgroups of children with different patterns in SDQ subscales: 1) Internalizers with high internalizing problems, 2) Prosocials with high prosocial behaviors, and 3) Externalizers with high externalizing problems. Latent change score analysis showed significantly reduced externalizing problems and increased prosocial behaviors in the IG compared to the CG. Further, the children categorized as Internalizers, Prosocials, and Externalizers benefited from the program regarding externalizing problems. However, no effect was found regarding internalizing problems.
Scale-preserving automatic concept extraction (SPACE)
Authors: Posada-Moreno Andrés Felipe , Kreisköther Lukas , Glander Tassilo , Trimpe Sebastian 
Published: August 2023

AbstractConvolutional Neural Networks (CNN) have become a common choice for industrial quality control, as well as other critical applications in the Industry 4.0. When these CNNs behave in ways unexpected to human users or developers, severe consequences can arise, such as economic losses or an increased risk to human life. Concept extraction techniques can be applied to increase the reliability and transparency of CNNs through generating global explanations for trained neural network models. The decisive features of image datasets in quality control often depend on the feature’s scale; for example, the size of a hole or an edge. However, existing concept extraction methods do not correctly represent scale, which leads to problems interpreting these models as we show herein. To address this issue, we introduce the Scale-Preserving Automatic Concept Extraction (SPACE) algorithm, as a state-of-the-art alternative concept extraction technique for CNNs, focused on industrial applications. SPACE is specifically designed to overcome the aforementioned problems by avoiding scale changes throughout the concept extraction process. SPACE proposes an approach based on square slices of input images, which are selected and then tiled before being clustered into concepts. Our method provides explanations of the models’ decision-making process in the form of human-understandable concepts. We evaluate SPACE on three image classification datasets in the context of industrial quality control. Through experimental results, we illustrate how SPACE outperforms other methods and provides actionable insights on the decision mechanisms of CNNs. Finally, code for the implementation of SPACE is provided.
A global review of marine recreational spearfishing
Authors: Sbragaglia Valerio , Arlinghaus Robert , Blumstein Daniel T. , Diogo Hugo , Giglio Vinicius J. , Gordoa Ana , Januchowski-Hartley Fraser Andrew , Laporta Martín , Lindfield Steven J. , Lloret Josep , Mann Bruce , McPhee Daryl , Nunes José A. C. C. , Pita Pablo , Rangel Mafalda , Rhoades O. Kennedy , Venerus Leonardo A. , Villasante Sebastián 
Published: August 2023

AbstractRecreational spearfishing is a fishing method that occurs globally, yet receives considerably less attention in the scientific literature relative to other recreational fishing methods, such as angling. Lack of scientific information on spearfishing may negatively affect the development and management of marine recreational fisheries. We conducted a systematic review of 102 peer-reviewed papers published between 1967 and 2022 pertaining to marine recreational spearfishing. Based on this literature review, we provide an overview of key insights across social, economic, and ecological dimensions of marine recreational spearfishing. While spearfishers represent less than 5% of marine recreational fishers, the participants are younger and may differ from recreational anglers in their motivations, with suggestions of increased well-being generated from a close connection with the sea during underwater fishing. Recreational spearfishers mostly target species of moderate to high levels of vulnerability that are mid to high trophic level carnivores. Though spearfishers can deliberately target larger individuals of exploited populations, this is not a generalizable pattern. Despite a growing body of research on the ecological impacts of marine recreational spearfishing, there is limited knowledge of these effects and their mechanisms across biological levels of organization (e.g., individual, population, community and ecosystem) compared with those of other fishing methods. Recreational spearfishers can contribute to advances in marine ecological knowledge, and inclusive participatory management could represent a key step towards transformative sustainable development of marine recreational spearfishing. Throughout the review, we identify gaps in the research and areas where future research is needed to better inform the socio-economic importance, ecosystem impacts and future management of marine recreational spearfishing.
Assessment of cerebral autoregulatory function and inter-hemispheric blood flow in older adults with internal carotid artery stenosis using transcranial Doppler sonography-based measurement of transient hyperemic response after carotid artery compression
Authors: Magyar-Stang Rita , Pál Hanga , Csányi Borbála , Gaál Anna , Mihály Zsuzsanna , Czinege Zsófia , Csipo Tamas , Ungvari Zoltan , Sótonyi Péter , Varga Andrea , Horváth Tamás , Bereczki Dániel , Koller Akos , Debreczeni Róbert 
Published: August 2023

AbstractUnhealthy vascular aging promotes atherogenesis, which may lead to significant internal carotid artery stenosis (CAS) in 5 to 7.5% of older adults. The pathogenic factors that promote accelerated vascular aging and CAS also affect the downstream portion of the cerebral microcirculation in these patients. Primary treatments of significant CAS are eversion endarterectomy or endarterectomy with patch plasty. Factors that determine adequate hemodynamic compensation and thereby the clinical consequences of CAS as well as medical and surgical complications of carotid reconstruction surgery likely involve the anatomy of the circle of Willis (CoW), the magnitude of compensatory inter-hemispheric blood flow, and the effectiveness of cerebral microcirculatory blood flow autoregulation. This study aimed to test two hypotheses based on this theory. First, we hypothesized that patients with symptomatic and asymptomatic CAS would exhibit differences in autoregulatory function and inter-hemispheric blood flow. Second, we predicted that anatomically compromised CoW would associate with impaired inter-hemispheric blood flow compensation. We enrolled older adults with symptomatic or asymptomatic internal CAS (>70% NASCET criteria; n = 46) and assessed CoW integrity by CT angiography. We evaluated transient hyperemic responses in the middle cerebral arteries (MCA) after common carotid artery compression (CCC; 10 s) by transcranial Doppler sonography (TCD). We compared parameters reflecting autoregulatory function (e.g., transient hyperemic response ratio [THRR], return to baseline time [RTB], changes of vascular resistance) and inter-hemispheric blood flow (residual blood flow velocity). Our findings revealed that CAS was associated with impaired cerebral vascular reactivity. However, we did not observe significant differences in autoregulatory function or inter-hemispheric blood flow between patients with symptomatic and asymptomatic CAS. Moreover, anatomically compromised CoW did not significantly affect these parameters. Notably, we observed an inverse correlation between RTB and THRR, and 49% of CAS patients exhibited a delayed THRR, which associated with decreased inter-hemispheric blood flow. Future studies should investigate how TCD-based evaluation of autoregulatory function and inter-hemispheric blood flow can be used to optimize surgical techniques and patient selection for internal carotid artery revascularization.
Caspase 5 depletion is linked to hyper-inflammatory response and progeroid syndrome
Authors: Hisama Fuki M. , Pillai Renuka Kandhaya , Sidorova Julia , Patterson Karynne , Gokingco Carolina , Yacobi-Bach Michal , Oshima Junko 
Published: August 2023

AbstractA progeroid family was found to harbor a pathogenic variant in the CASP5 gene that encodes inflammatory caspase 5. Caspase 5-depleted fibroblasts exhibited hyper-activation of inflammatory cytokines in response to pro-inflammatory stimuli. Long-term intermittent hyper-inflammatory response is likely the cause of the accelerated aging phenotype comprised of earlier onset of common aging diseases, supporting inflammaging as a potential common disease mechanism of progeroid syndromes and possibly normative aging.
The social-ecological resilience indicators of organic rice production in Northeastern Thailand
Authors: Panpakdee Chaiteera 
Published: August 2023

AbstractUncertainties in agriculture have been posing serious threats to organic farmers, especially the marginal ones in developing countries such as Thailand. Building resilience appears the most workable strategy to help them cope with those threats since its definitions and operation fundamentally focus upon the capacity to adapt to all types of change to be better in consequences. In this study, the author used a participatory principle and qualitative data analysis as tools. Sixty-two experienced organic farmers from four provinces in Northeastern Thailand were purposively selected as the informants. They were asked individually regarding the resilience concepts in agroecological contexts and related theories to generate a specific set of indicators whose qualities can maintain and recover organic rice production against ongoing change. Consequently, guided by three processes of qualitative study and the nominal group technique (NGT) aimed at converting abstract ideas into practical features aligned with resilience theories in agroecosystems, the organic farmers developed 28 indexes known as social-ecological resilience indicators (SERIs). The SERIs capture important components related to diversity and resource accessibility, such as ownership of legal credit sources and types of organic certification, to enhance adaptive capacity. The SERIs can serve as both quantifiable evaluation and qualitative guidance because the informants’ social, ecological, and cultural contexts are integrated. The SERIs are effective to provide empirical insights into practices and assets for building resilience. The SERIs are also vital to propose policies to encourage organic farmers to conduct adaptations and transformation during a period of change.
Commissioning of Aktina SRS cones and dosimetric validation of the RayStation photon Monte Carlo dose calculation algorithm
Authors: Schofield Andy , Newall Matthew , Inwood Dean , Downes Simon , Corde Stéphanie 
Published: August 2023

AbstractClinical implementation of SRS cones demands particular experimental care and dosimetric considerations in order to deliver precise and safe radiotherapy to patients. The purpose of this work was to present the commissioning data of recent Aktina cones combined with a 6MV flattened beam produced by an Elekta VersaHD linear accelerator. Additionally, the modelling process, and an assessment of dosimetric accuracy of the RayStation Monte Carlo dose calculation algorithm for cone based SRS was performed. There are currently no studies presenting beam data for this equipment and none that outlines the modelling parameters and validation of dose calculation using RayStation’s photon Monte Carlo dose engine with cones. Beam data was measured using an SFD and a microDiamond and benchmarked against EBT3 film for cones of diameter 5–39 mm. Modelling was completed and validated within homogeneous and heterogeneous phantoms. End-to-end image-guided validation was performed using a StereoPHAN™ housing, an SRS MapCHECK and EBT3 film, and calculation time was investigated as a function of statistical uncertainty and field diameter. The TPS calculations agreed with measured data within their estimated uncertainties and clinical treatment plans could be calculated in under a minute. The data presented serves as a reference for others commissioning Aktina stereotactic cones and the modelling parameters serve similarly, while providing a starting point for those commissioning the same TPS algorithm for use with cones. It has been shown in this work that RayStation’s Monte Carlo photon dose algorithm performs satisfactorily in the presence of SRS cones.
Comprehensive cell surface protein profiling of human mesenchymal stromal cells from peritoneal dialysis effluent and comparison with those from human bone marrow and adipose tissue
Authors: Shi Ganggang , Yang Chong , Zhou Lan , Zong Ming , Guan Qiunong , da Roza Gerald , Wang Hao , Qi Hualin , Du Caigan 
Published: August 2023

AbstractPeritoneal mesenchymal stromal cells (pMSCs) are isolated from peritoneal dialysis (PD) effluent, and treatment with the pMSCs reduces peritoneal membrane injury in rat model of PD. This study was designed to verify the identity of the pMSCs. pMSCs were grown in plastic dishes for 4–7 passages, and their cell surface phenotype was examined by staining with a panel of 242 antibodies. The positive stain of each target protein was determined by an increase in fluorescence intensity as compared with isotype controls in flow cytometrical analysis. Here, we showed that pMSCs predominantly expressed CD9, CD26, CD29, CD42a, CD44, CD46, CD47, CD49b, CD49c, CD49e, CD54, CD55, CD57, CD59, CD63, CD71, CD73, CD81, CD90, CD98, CD147, CD151, CD200, CD201, β2-micoglobulin, epithelial growth factor receptor, human leukocyte antigen (HLA) class 1, and, to a lesser extent, CD31, CD45RO, CD49a, CD49f, CD50, CD58, CD61, CD105, CD164, and CD166. These cells lacked expression of most hematopoietic markers such as CD11b, CD14, CD19, CD34, CD40, CD80, CD79, CD86, and HLA-DR. There was 38.55% difference in the expression of 83 surface proteins between bone marrow (BM)-derived MSCs and pMSCs, and 14.1% in the expression of 242 proteins between adipose tissue (AT)-derived MSCs and pMSCs. The BM-MSCs but not both AT-MSCs and pMSCs express cytokine receptors (IFNγR, TNFI/IIR, IL-1R, IL-4R, IL-6R, and IL-7R). In conclusion, pMSCs exhibited a typical cell surface phenotype of MSCs, which was not the same as on BM-MSCs or AT-MSCs, suggesting that the pMSCs may represent a different MSC lineage from peritoneal cavity.
Data Processing Strategies to Determine Maximum Oxygen Uptake: A Systematic Scoping Review and Experimental Comparison with Guidelines for Reporting
Authors: Nolte Simon , Rein Robert , Quittmann Oliver Jan 
Published: August 2023

Abstract
Background
Gas exchange data from maximum oxygen uptake ($$\dot{V}{\text{O}}_{2\max }$$

V
˙

O

2
max

) testing typically require post-processing. Different processing strategies may lead to varying $$\dot{V}{\text{O}}_{2\max }$$

V
˙

O

2
max

values affecting their interpretation. However, the exact processing strategies used in the literature have yet to be systematically investigated. Previous research investigated differences across methods at the group level only.

Methods
Out of a random sample, we investigated 242 recently published articles that measured $$\dot{V}{\text{O}}_{2\max }$$

V
˙

O

2
max

during ramp tests. Reported data processing methods and their rationale were extracted. We compared the most common processing strategies on a data set of 72 standardized exercise tests in trained athletes.

Results
Half of the included studies did not report their data processing strategy and almost all articles failed to provide a rationale for the particular strategy chosen. Most studies use binned time averages to determine $$\dot{V}{\text{O}}_{2\max }$$

V
˙

O

2
max

, with a minority using moving time or moving breath averages. The processing strategies found in the literature can lead to mean differences in $$\dot{V}{\text{O}}_{2\max }$$

V
˙

O

2
max

of more than 5% (range 0–7%) with considerable variation at the individual level.

Conclusions
We advise researchers to change their processing strategy and use moving averages or digital filters instead of binned averages. Researchers should report their data processing strategy used to determine $$\dot{V}{\text{O}}_{2\max }$$

V
˙

O

2
max

. We provide a reporting checklist of seven items that can function as a template for reporting.
DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer
Authors: Jia Liye , Ren Xueting , Wu Wei , Zhao Juanjuan , Qiang Yan , Yang Qianqian 
Published: August 2023

AbstractRecently, lung cancer prediction based on imaging genomics has attracted great attention. However, such studies often have many challenges, such as small sample size, high-dimensional information redundancy, and the inefficiency of multimodal fusion. Therefore, in this paper, a deep convolution cascade attention fusion network (DCCAFN) based on imaging genomics is proposed for the prediction of lung cancer patients’ survival. The network consists of three modules: an image feature extraction module (IFEM), a gene feature extraction module (GFEM), and an attention fusion network (AFN). In the IFEM, a pretrained residual network based on transfer learning is used to extract deep image features to fully capture the computed tomography (CT) image information conducive to prognosis prediction. In the GFEM, the F-test is first used for gene screening to eliminate redundant information, and then, a cascade network with the convolution cascade module (CCM) that contains a convolution operation, a pooling operation, and an ensemble forest classifier is designed to better extract the gene features. In the AFN, a bimodal attention fusion mechanism is proposed to fuse deep image features and gene features to improve the performance of predicting lung cancer survival. The experimental results show that the DCCAFN model achieves good performance, and its accuracy and AUC are 0.831 and 0.816, respectively. It indicates that the model is an effective multimodal data fusion method for predicting the survival prognosis of lung cancer, which can greatly help physicians stratify patients' risks, and achieve personalized treatment for improving the quality of patients' lives.