bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration behavior differs between Darwin’s finch species and predicts territory defense and hatching success
Authors: Katsis Andrew C. , Colombelli-Négrel Diane , Akçay Çağlar , Common Lauren K. , García-Loor Jefferson , Kleindorfer Sonia 
Published: February 2024

Abstract
Darwin’s finch species in the Galápagos Islands are famously distinguished by their morphology but less attention has been given to behavioral differences between species. In this study, we compared behavior between four Darwin’s finch species on Floreana Island: small ground finch (Geospiza fuliginosa), medium ground finch (G. fortis), small tree finch (Camarhynchus parvulus), and medium tree finch (C. pauper). After capturing birds using mist-nets, we measured three behavioral traits: (1) boldness during human handling, (2) exploration in a novel environment, and (3) aggressiveness towards their mirror image. First, we found that ground finches were bolder and more exploratory than tree finches, consistent with their distinct ecological niches on Floreana Island and with the theoretical prediction that diet generalists should be less wary of novelty. Second, we tested the ecological validity of these behavioral variables at the individual level by relating them to territory defense behavior and breeding success. We found that males that were more exploratory in the novel environment also reacted more aggressively to a simulated territory intruder and showed lower offspring hatching success during the breeding season. Hence, our findings support previous work showing behavioral differences between Darwin’s finch species and also suggest pathways by which behavioral differences among individuals might influence fitness.

Significance statement
Closely-related species that overlap in their geographical range may differ in their morphology and/or behavior, allowing them to occupy different ecological niches. In this study, we explored behavioral differences between four Darwin’s finch species on Floreana Island in the Galápagos Archipelago. We found clear interspecies differences in behavior, with the ground finches struggling more often during handling (boldness) and visiting more sectors in a novel environment (exploration) compared to the tree finches. After birds were released, we continued to observe a subset of male finches in the wild. An individual’s exploration behavior significantly predicted both its aggressive response to a territory intruder (simulated using song playback) and offspring hatching success during the breeding season. This suggests that individual differences in exploration behavior can potentially be used as a proxy for territorial behavior in the wild and may also predict fitness outcomes.
Predicting residual cholesteatoma with the Potsic staging system still lacks evidence: a systematic review and meta-analysis
Authors: Körmendy Klára Borbála , Shenker-Horváth Kinga , Shulze Wenning Alexander , Fehérvári Péter , Harnos Andrea , Hegyi Péter , Molnár Zsolt , Illés Kata , Horváth Tamás 
Published: February 2024

Abstract
Purpose
To investigate the rate of residual disease in the Potsic staging system for congenital cholesteatomas.

Methods
A protocol registration was published on PROSPERO (CRD42022383932), describing residual disease as a primary outcome and hearing improvement as secondary. A systematic search was performed in four databases (PubMed, Embase, Cochrane Library, Web of Science) on December 14, 2022. Articles were included if cholesteatomas were staged according to the Potsic system and follow-up duration was documented. Risk of bias was evaluated using the Quality In Prognosis Studies (QUIPS) tool. In the statistical synthesis a random effects model was used. Between-study heterogeneity was assessed using I2.

Results
Thirteen articles were found to be eligible for systematic review and seven were included in the meta-analysis section. All records were retrospective cohort studies with high risk of bias. Regarding the proportions of residual disease, analysis using the χ2 test showed no statistically significant difference between Potsic stages after a follow-up of minimum one year (stage I 0.06 (confidence interval (CI) 0.01–0.33); stage II 0.20 (CI 0.09–0.38); stage III 0.06 (CI 0.00–0.61); stage IV: 0.17 (CI 0.01–0.81)). Postoperative and preoperative hearing outcomes could not be analyzed due to varied reporting. Results on cholesteatoma location and mean age at staging were consistent with those previously published.

Conclusion
No statistically significant difference was found in the proportions of residual disease between Potsic stages, thus the staging system’s applicability for outcome prediction could not be proven based on the available data. Targeted studies are needed for a higher level of evidence.
Effectiveness and safety of intraoperative intraperitoneal 5-Fu drug implantation in patients with colorectal cancer: a retrospective cohort study
Authors: Liu Renchao , Hu Xianqin , Lai Chen 
Published: February 2024

Abstract
Purpose
The purpose of this clinical study was to evaluate the efficacy and safety of intraoperative chemotherapy (IOC) with intraoperative intraperitoneal implantation of 5-fluorouracil (5-FU) in colorectal cancer (CRC) patients.

Methods
In this study, 165 patients who underwent colorectal radical surgery were selected, of whom 111 in the experimental group received surgical treatment with an intraperitoneal 5-fluorouracil (5-FU) implantation. Fifty-four patients who did not undergo intraperitoneal implantation of 5-FU were matched to compare the progression-free survival (PFS) and overall survival (OS) with the former.

Results
We also studied the differences in the changes of different biochemical indicators between the two groups before and after surgery, and there were significant differences in leukocytes, neutrophils, and lymphocytes before and after (P < 0.05), while for sodium ions, potassium ions, platelets, alanine transaminase, aspartate transaminase, creatinine, urea, and albumin, there were no significant differences. This may be related to the intraperitoneal chemotherapy implant entering the blood circulation. For 5-year OS, there were 85/111 (76.58%) in the 5-FU group (P = 0.013) and 35/54 (64.81%) in the control group; for 5-year PFS, there were 84/111 (75.68%) in the 5-FU group and 29/54 (53.70%) in the control group (P = 0.02). All the experimental groups were better than the control group with a significant difference in the experimental results.

Conclusion
For CRC surgery patients, intraperitoneal implantation of slow-release 5-FU drugs, which is a safe and simple procedure, can improve the prognosis of the patients.

Clinical trial registration
No clinical trials were performed in the study.
Rural–urban differences in the perceived impact of COVID-19 on mental health by European women
Authors: Rodríguez Mercedes , Camacho José A. 
Published: February 2024

Abstract
Purpose
Many studies have documented an adverse impact of the pandemic on women´s mental health. This cross-sectional study aims to explore associations between women's perceived impact of lockdowns and curfews on their mental health and their residential location, along with other contextual and individual factors.

Methods
Using data from the Flash Eurobarometer 2712 “Women in times of COVID-19”, conducted between January 25 and February 3, 2022, across the 27 Member States of the European Union (n = 23,671), this study applied bivariate tests and stratified models based on respondent location (rural areas, small or medium-sized towns and urban areas). The exploration sought predictors influencing the perceived mental health impact, encompassing five individual characteristics (age, disability, employment status, educational attainment, and household type), perceptions of violence against women, and country of residence. The dependent variable was assessed subjectively, measured on a scale from 1 (minor negative impact) to 5 (major negative impact).

Results
Women living in urban areas generally reported a higher perceived negative impact on mental health compared to women in rural areas or in small/medium-sized towns. Age and disability were significantly linked to perceiving a negative impact on mental health. Similar adjusted odds ratios for age were observed across rural areas (aOR 0.97, 95% CI = 0.97–0.98), small or medium-sized towns (aOR 0.98, 95% CI = 0.97–0.98), and urban areas (aOR 0.97, 95% CI = 0.97–0.98). In terms of disability, the odds were higher in rural areas (aOR 1.44, 95% CI = 1.20–1.73) than in urban ones (aOR 1.36, 95% CI = 1.15–1.62). Among women residing in urban areas, those in childless couples were less likely to perceive a negative impact on mental health (aOR 0.89, 95% CI = 0.80–0.99) compared to women in couples with children. Respondents perceiving increased violence against women due to COVID-19 were more likely to perceive a negative impact on mental health, with higher odds ratios in rural areas (aOR 1.56, 95% CI = 1.40–1.74) compared to urban areas (aOR 1.29, 95% CI = 1.17–1.41). Differences across countries were also found.

Conclusion
The perceived impact of lockdowns and curfews on mental health exhibited variance between urban and rural areas. These disparities were influenced by individual characteristics such as age, disability, or household type, as well as the effects of COVID-19 on violence against women and contextual variables like country of residence.
Assisted design of data science pipelines
Authors: Redyuk Sergey , Kaoudi Zoi , Schelter Sebastian , Markl Volker 
Published: February 2024

AbstractWhen designing data science (DS) pipelines, end-users can get overwhelmed by the large and growing set of available data preprocessing and modeling techniques. Intelligent discovery assistants (IDAs) and automated machine learning (AutoML) solutions aim to facilitate end-users by (semi-)automating the process. However, they are expensive to compute and yield limited applicability for a wide range of real-world use cases and application domains. This is due to (a) their need to execute thousands of pipelines to get the optimal one, (b) their limited support of DS tasks, e.g., supervised classification or regression only, and a small, static set of available data preprocessing and ML algorithms; and (c) their restriction to quantifiable evaluation processes and metrics, e.g., tenfold cross-validation using the ROC AUC score for classification. To overcome these limitations, we propose a human-in-the-loop approach for theassisteddesignofdatasciencepipelinesusing previously executed pipelines. Based on a user query, i.e., data and a DS task, our framework outputs a ranked list of pipeline candidates from which the user can choose to execute or modify in real time. To recommend pipelines, it first identifies relevant datasets and pipelines utilizing efficient similarity search. It then ranks the candidate pipelines using multi-objective sorting and takes user interactions into account to improve suggestions over time. In our experimental evaluation, the proposed framework significantly outperforms the state-of-the-art IDA tool and achieves similar predictive performance with state-of-the-art long-running AutoML solutions while being real-time, generic to any evaluation processes and DS tasks, and extensible to new operators.
Antimicrobial effects of clindamycin-loaded platelet-rich fibrin (PRF)
Authors: Straub Anton , Stapf Maximilian , Utz Chiara , Vollmer Andreas , Flesch Julia , Kübler Alexander , Scherf-Clavel Oliver , Lâm Thiên-Trí , Hartmann Stefan 
Published: February 2024

Abstract
Objectives
Recent research has demonstrated that platelet-rich fibrin (PRF) is an appropriate carrier for ampicillin/sulbactam. The aim of the study was to investigate whether PRF is also a suitable bio-carrier for clindamycin (CLI).

Methods
PRF membranes were produced from 36 patients receiving intravenous therapy with CLI (e.g. due to the diagnosis of an osteonecrosis of the jaw or infections). Concentrations of CLI in PRF membranes were measured with liquid chromatography-tandem mass spectrometry, and the antimicrobial effects were investigated in vitro in agar diffusion tests with fresh PRF and PRF stored for 24 h. Storage was performed in an incubator at 36 °C to simulate the in-vivo situation.

Results
The mean concentration of CLI in plasma was 1.0 ± 0.3 μg/100 mg plasma; in resulting PRF membranes 0.7 ± 0.4 μg/100 mg PRF. Agar diffusion tests were performed with Staphylococcus aureus, Streptococcus pneumoniae, Streptococcus mitis, Porphyromonas gingivalis, and Fusobacterium nucleatum. Mean inhibition zones, in mm, for fresh PRF were 17.3, 12.2, 18.8, 17.1, 25.8 and 18.1, 12.7, 19.2, 17.3, and 26.3 for stored PRF, respectively.

Conclusion
The results demonstrate that PRF is a suitable bio-carrier for CLI when administered systemically to patients. The concentration in PRF generated from patients after infusion of 600 mg CLI dose suffices to target clinically relevant bacteria.

Clinical relevance
Using PRF as a carrier for local antibiotic application can prevent infections in oral and maxillofacial surgery. Within the study limitations, the findings could expand the scope of PRF application by adding CLI as a new antibiotic to the spectrum of PRF therapy.
Strong Norm Error Bounds for Quasilinear Wave Equations Under Weak CFL-Type Conditions
Authors: Dörich Benjamin 
Published: February 2024

Abstract
In the present paper, we consider a class of quasilinear wave equations on a smooth, bounded domain. We discretize it in space with isoparametric finite elements and apply a semi-implicit Euler and midpoint rule as well as the exponential Euler and midpoint rule to obtain four fully discrete schemes. We derive rigorous error bounds of optimal order for the semi-discretization in space and the fully discrete methods in norms which are stronger than the classical

$$H^1\times L^2$$

H
1

×

L
2

energy norm under weak CFL-type conditions. To confirm our theoretical findings, we also present numerical experiments.
Current State of EEG/ERP Microstate Research
Authors: Michel Christoph M. , Brechet Lucie , Schiller Bastian , Koenig Thomas 
Published: February 2024

AbstractThe analysis of EEG microstates for investigating rapid whole-brain network dynamics during rest and tasks has become a standard practice in the EEG research community, leading to a substantial increase in publications across various affective, cognitive, social and clinical neuroscience domains. Recognizing the growing significance of this analytical method, the authors aim to provide the microstate research community with a comprehensive discussion on methodological standards, unresolved questions, and the functional relevance of EEG microstates. In August 2022, a conference was hosted in Bern, Switzerland, which brought together many researchers from 19 countries. During the conference, researchers gave scientific presentations and engaged in roundtable discussions aiming at establishing steps toward standardizing EEG microstate analysis methods. Encouraged by the conference’s success, a special issue was launched in Brain Topography to compile the current state-of-the-art in EEG microstate research, encompassing methodological advancements, experimental findings, and clinical applications. The call for submissions for the special issue garnered 48 contributions from researchers worldwide, spanning reviews, meta-analyses, tutorials, and experimental studies. Following a rigorous peer-review process, 33 papers were accepted whose findings we will comprehensively discuss in this Editorial.
Convex approximations of two-stage risk-averse mixed-integer recourse models
Authors: van Beesten E. Ruben , Romeijnders Ward , Roodbergen Kees Jan 
Published: February 2024

AbstractWe consider two-stage risk-averse mixed-integer recourse models with law invariant coherent risk measures. As in the risk-neutral case, these models are generally non-convex as a result of the integer restrictions on the second-stage decision variables and hence, hard to solve. To overcome this issue, we propose a convex approximation approach. We derive a performance guarantee for this approximation in the form of an asymptotic error bound, which depends on the choice of risk measure. This error bound, which extends an existing error bound for the conditional value at risk, shows that our approximation method works particularly well if the distribution of the random parameters in the model is highly dispersed. For special cases we derive tighter, non-asymptotic error bounds. Whereas our error bounds are valid only for a continuously distributed second-stage right-hand side vector, practical optimization methods often require discrete distributions. In this context, we show that our error bounds provide statistical error bounds for the corresponding (discretized) sample average approximation (SAA) model. In addition, we construct a Benders’ decomposition algorithm that uses our convex approximations in an SAA-framework and we provide a performance guarantee for the resulting algorithm solution. Finally, we perform numerical experiments which show that for certain risk measures our approach works even better than our theoretical performance guarantees suggest.
Remnant kenngoor (Phascogale calura) retain genetic connectivity and genetic diversity in a highly fragmented landscape
Authors: de Visser Rhiannon S. J. , Hall Michelle , Ottewell Kym , Pierson Jennifer C. , Sanders Angela , Friend J. Anthony , Berry Laurence , Hogg Carolyn , Catullo Renee A. 
Published: February 2024

AbstractKenngoor (Phascogale calura) persist in < 1% of their original distribution, occupying highly fragmented remnant habitat in south-west Western Australia, with very little known of the genetic diversity of the remaining wild populations. Recently, the species has been translocated to managed reserves to improve its conservation. Understanding genetic structure and patterns of genetic diversity is crucial to inform conservation translocations for species recovery. This study aims to (1) assess genetic structure and genetic diversity across remaining wild locations, (2) assess long-term genetic outcomes of a mixed-source wild-to-wild translocation, and (3) estimate global effective population size. We genotyped 209 samples from 13 locations of fragmented remnant habitat using reduced representation sequencing. An isolation by distance model best explained genetic structure across the survey areas, with evidence of fine scale divergence of two northern locations. Allelic richness and autosomal heterozygosity measures indicated that diversity is spread uniformly across locations, and no locations showed signs of inbreeding or strong genetic drift. The mixed-source translocation has retained the diversity of the wider species ten years post-translocation. Overall, our results suggest that connectivity between survey areas has largely been maintained and that no location has substantially lower genetic diversity, despite the highly fragmented nature of remnant kenngoor habitat. Future translocations should aim to represent a mixture of genetically divergent locations to maintain the diversity present at the species level. Ongoing conservation management will be required to ensure the long-term viability of the species in this fragmented landscape.
Selective elimination of tumorigenic cells from mixed culture of normal and tumorigenic cells using hybrid liposomes aimed at realizing of cell therapy
Authors: Jinno Riko , Tanaka Moe , Komizu Yuji , Matsumoto Yoko , Matsushita Taku , Ishida Seiichi 
Published: February 2024

AbstractWhile induced pluripotent stem (iPS) cells are expected to be a cell source for regenerative medicine, they also have tumorigenic properties owing to their proliferative potential. During the manufacturing of regenerative medicine products, undifferentiated iPS cells and malignant transformed cells may be mixed in the cell culture population. Therefore, it is essential to eliminate tumorigenic cells selectively. In this study, a mixed culture of normal human fetal hepatocytes (Hc cells) and human hepatocellular carcinoma cells (HuH-7 cells) was used as a cell population model to be used as regenerative medicine products, and the selective elimination of HuH-7 cells by hybrid liposomes (HL) was analyzed. HL tended to fuse and accumulate more in HuH-7 cells due to larger fluidity of plasma membrane for HuH-7 cells than that for Hc cells. In a mixed culture of Hc and HuH-7 cells, HL selectively eliminated HuH-7 cells while allowing Hc cells to remain viable. In addition, HL treatment for the mixed culture of Hc and HuH-7 cells suppressed the tumorigenicity of HuH-7 cells. Therefore, HL selectively fused and accumulated in tumorigenic cells in a mixed cell culture of normal and tumorigenic cells, and eliminated tumorigenic cells while allowing normal cells to remain viable. The results of this study suggest the potential of HL in eliminating tumorigenic cells during the manufacturing of regenerative medicine products. Thus, HL could be expected to contribute to the development of safe regenerative medical products.
Using data clustering to reveal trainees’ behavior in cybersecurity education
Authors: Dočkalová Burská Karolína , Mlynárik Jakub Rudolf , Ošlejšek Radek 
Published: February 2024

AbstractIn cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students’ cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the designers in performing such analytic and evaluation tasks is ad-hoc and insufficient. With unsupervised machine learning methods, we designed a tool for clustering the trainee actions that can exhibit their strategies or help pinpoint flaws in the training design. By using a k-means++ algorithm, we explore clusters of trainees that unveil their specific behavior within the training sessions. The final visualization tool consists of views with scatter plots and radar charts. The former provides a two-dimensional correlation of selected trainee actions and displays their clusters. In contrast, the radar chart displays distinct clusters of trainees based on their more specific strategies or approaches when solving tasks. Through iterative training redesign, the tool can help designers identify improper training parameters and improve the quality of the courses accordingly. To evaluate the tool, we performed a qualitative evaluation of its outcomes with cybersecurity experts. The results confirm the usability of the selected methods in discovering significant trainee behavior. Our insights and recommendations can be beneficial for the design of tools for educators, even beyond cyber security.