bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between wintering site and survival in a migratory waterbird using different migration routes
Authors: Ferreira Hugo R. S. , Champagnon Jocelyn , Alves José A. , Lok Tamar 
Published: February 2024

AbstractWhen wintering at different sites, individuals from the same breeding population can experience different conditions, with costs and benefits that may have implications throughout their lifetime. Using a dataset from a longitudinal study on Eurasian Spoonbills from southern France, we explored whether survival rate varied among individuals using different wintering sites. In the last 13 years, more than 3000 spoonbills have been ringed as chicks in Camargue. These birds winter in five main regions that vary in both migratory flyway (East Atlantic vs. Central European) and migration distance (long-distance vs. short-distance vs. resident). We applied Cormack–Jolly–Seber models and found evidence for apparent survival to correlate with migration distance, but not with flyway. During the interval between the first winter sighting and the next breeding period, long-distance migrants had the lowest survival, independently of the flyway taken. Additionally, as they age, spoonbills seem to better cope with migratory challenges and wintering conditions as no differences in apparent survival among wintering strategies were detected during subsequent years. As dispersal to other breeding colonies was rarely observed, the lower apparent survival during this period is likely to be partly driven by lower true survival. This supports the potential role of crossing of natural barriers and degradation of wintering sites in causing higher mortality rates as recorded for a variety of long-distance migrants. Our work confirms variation in demographic parameters across winter distribution ranges and reinforces the importance of longitudinal studies to better understand the complex demographics of migratory species.
A new crack-tip element for the logarithmic stress-singularity of Mode-III cracks in spring interfaces
Authors: Mantič V. , Vázquez-Sánchez A. , Romero-Laborda M. , Muñoz-Reja M. , Jiménez-Alfaro S. , Távara L. 
Published: February 2024

AbstractA new crack-tip finite element able to improve the accuracy of Finite Element Method (FEM) solutions for cracks growing along the Winkler-type spring interfaces between linear elastic adherents is proposed. The spring model for interface fracture, sometimes called Linear-Elastic (perfectly) Brittle Interface Model (LEBIM), can be used, e.g., to analyse fracture of adhesive joints with a thin adhesive layer. Recently an analytical expression for the asymptotic elastic solution with logarithmic stress-singularity at the interface crack tip considering spring-like interface behaviour under fracture Mode III was deduced by some of the authors. Based on this asymptotic solution, a special 5-node triangular crack-tip finite element is developed. The generated special singular shape functions reproduce the radial behaviour of the first main term and shadow terms of the asymptotic solution. This special element implemented in a FEM code written in Matlab has successfully passed various patch tests with spring boundary conditions. The new element allows to model cracks in spring interfaces without the need of using excessively refined FEM meshes, which is one of the current disadvantages in the use of LEBIM when stiff spring interfaces are considered. Numerical tests carried out by h-refinement of uniform meshes show that the new singular element consistently provides significantly more accurate results than the standard finite elements, especially for stiff interfaces, which could be relevant for practical applications minimizing computational costs. The new element can also be used to solve other problems with logarithmic stress-singularities.
Trends in nutritional status and factors affecting prognostic nutritional index in ovarian cancer patients during chemotherapy: a prospective longitudinal study based on generalized estimating equations
Authors: Mengqin Zhang , Yalin He , Xing Liu , Ya Liu , Yalin Tian , Xin Dan , Jianhua Ren 
Published: February 2024

Abstract
Purpose
Numerous studies have investigated the relationships between nutritional status and the prognosis of ovarian cancer (OC). However, the majority of these studies have focused on pre-chemotherapy malnutrition, with limited attention given to dynamic changes in nutritional status during chemotherapy and the associated risk factors affecting the prognostic nutritional index (PNI) in OC women. This study aims to explore the variation trend in the nutritional status of OC women over time during chemotherapy and assess its predictive factors.

Methods
A prospective longitudinal study was conducted from January 2021 to August 2023. Body mass index (BMI), PNI, Nutritional Risk Screening (NRS) 2002, serum albumin, and prealbumin measurements were utilized to assess the nutritional status of OC women. Data were collected through face-to-face interviews before initial chemotherapy (T0) and during the first (T1), third (T2), and fifth (T3) cycles of chemotherapy. Generalized Estimating Equations (GEE) were employed for the analysis of potential predictive factors.

Results
A total of 525 OC women undergoing chemotherapy completed the study. Significantly varied levels of BMI, PNI, and serum concentrations of hemoglobin, albumin, prealbumin, potassium, sodium, magnesium, and calcium were observed in these patients (p < 0.05). The prevalence of nutritional risk decreased over time during chemotherapy (p < 0.05). Nutritional parameters, including BMI, PNI, and the serum concentrations of albumin and prealbumin, exhibited an upward trend in nutritional status throughout the chemotherapy cycles (p < 0.05). Multivariate analysis indicated that higher levels of BMI, serum albumin, prealbumin, absolute lymphocyte count, and hemoglobin ≥ 110 g/L at admission were associated with elevated PNI after chemotherapy (β = 0.077, p = 0.028; β = 0.315, p < 0.001; β = 0.009, p < 0.001; β = 1.359, p < 0.001; β =  − 0.637, p = 0.005).

Conclusion
Patients consistently demonstrated improvements in nutritional risk and status from the initiation to the completion of chemotherapy cycles. Nutritional monitoring of OC women, particularly those exhibiting abnormalities at the commencement of chemotherapy, is crucial. Targeted nutritional support programs should be developed to enhance the prognosis of OC women.
A proactive financial navigation intervention in patients with newly diagnosed gastric and gastroesophageal junction adenocarcinoma
Authors: Bell-Brown Ari , Hopkins Talor , Watabayashi Kate , Overstreet Karen , Leahy Anthony , Bradshaw Erin , Gallagher Kathleen , Obenchain Jennifer , Padron Amber , Scott Beth , Flores Brooke , Shankaran Veena 
Published: February 2024

Abstract
Purpose
Many cancer patients and caregivers experience financial hardship, leading to poor outcomes. Gastric and gastroesophageal junction (GEJ) cancer patients are particularly at risk for financial hardship given the intensity of treatment. This pilot randomized study among gastric/GEJ cancer patients and caregivers tested a proactive financial navigation (FN) intervention to obtain a signal of efficacy to inform a larger, more rigorous randomized study.

Methods
We tested a 3-month proactive FN intervention among gastric/GEJ cancer patients and caregivers compared to usual care. Caregiver participation was optional. The primary endpoint was incidence of financial hardship, defined as follows: accrual of debt, income decline of ≥ 20%, or taking loans to pay for treatment. Data from participant surveys and documentation by partner organizations delivering the FN intervention was analyzed and outcomes were compared between study arms.

Results
Nineteen patients and 12 caregivers consented. Primary FN resources provided included insurance navigation, budget planning, and help with out-of-pocket medical expenses. Usual care patients were more likely to experience financial hardship (50% vs 40%) and declines in quality of life (37.5% vs 0%) compared to intervention patients. Caregivers in both arms reported increased financial stress and poorer quality of life over the study period.

Conclusions
Proactive financial navigation has potentially positive impacts on financial hardship and quality of life for cancer patients and more large-scale randomized interventions should be conducted to rigorously explore the impact of similar interventions. Interventions that have the potential to lessen caregiver financial stress and burden need further exploration.

Trial registration
TRN: NCT03986502, June 14, 2019.
Association of dietary live microbe intake with diabetic kidney disease in patients with type 2 diabetes mellitus in US adults: a cross-sectional study of NHANES 1999–2018
Authors: Wang Min , Huang Zhao-hui , Zhu Yong-hong , Li Shuai , Li Xin , Sun He , He Ping , Peng Ya-li , Fan Qiu-Ling 
Published: February 2024

Abstract
Aims
Several studies have reported dietary microorganisms’ beneficial effects on human health. We aimed to detect the potential association between dietary live microbe intake and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM) through a cross-sectional analysis of the National Health and Nutrition Examination Survey from 1999 to 2018.

Methods
According to the Sanders classification system of dietary live microbes, the study participants were divided into three groups: low, medium, and high live microbe groups. In patients with T2DM, DKD was assessed by glomerular filtration rate (< 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration algorithm), proteinuria (urinary albumin to creatinine ratio ≥ 30 mg/g), or both. Weighted univariate and multivariate logistic regression and subgroup analyses were conducted to investigate the independent association between dietary live microbe and DKD.

Results
The study included 3836 participants, of whom 1467 (38.24%) had DKD for the diagnosis. Our study demonstrated that participants in the high dietary live microbe group were more likely to be older, female, non-Hispanic White, have higher education levels, have a lower prevalence of smoking, have a high poverty-income ratio, have higher energy intake, lower haemoglobin (HbA1c) and serum creatinine levels, and lower risk of progression. After adjustment for covariates, patients in the high dietary live microbe group had a low prevalence of DKD, whereas no significant association with DKD was found between the medium and low dietary live microbe groups. No statistically significant interaction was observed in all subgroup analyses except for HbA1c (p for interaction < 0.05).

Conclusions
Our results indicate that high dietary live microbe intake was associated with a low DKD prevalence.
An objective skill assessment framework for microsurgical anastomosis based on ALI scores
Authors: Gholami Soheil , Manon Anaëlle , Yao Kunpeng , Billard Aude , Meling Torstein R. 
Published: February 2024

Abstract

Introduction
The current assessment and standardization of microsurgical skills are subjective, posing challenges in reliable skill evaluation. We aim to address these limitations by developing a quantitative and objective framework for accurately assessing and enhancing microsurgical anastomosis skills among surgical trainees. We hypothesize that this framework can differentiate the proficiency levels of microsurgeons, aligning with subjective assessments based on the ALI score.

Methods
We select relevant performance metrics from the literature on laparoscopic skill assessment and human motor control studies, focusing on time, instrument kinematics, and tactile information. This information is measured and estimated by a set of sensors, including cameras, a motion capture system, and tactile sensors. The recorded data is analyzed offline using our proposed evaluation framework. Our study involves 12 participants of different ages (

$$35.42\pm 9.78$$

35.42
±
9.78

years) and genders (nine males and three females), including six novice and six intermediate subjects, who perform surgical anastomosis procedures on a chicken leg model.

Results
We show that the proposed set of objective and quantitative metrics to assess skill proficiency aligns with subjective evaluations, particularly the ALI score method, and can effectively differentiate novices from more proficient microsurgeons. Furthermore, we find statistically significant disparities, where microsurgeons with intermediate level of skill proficiency surpassed novices in both task speed, reduced idle time, and smoother, briefer hand displacements.

Conclusion
The framework enables accurate skill assessment and provides objective feedback for improving microsurgical anastomosis skills among surgical trainees. By overcoming the subjectivity and limitations of current assessment methods, our approach contributes to the advancement of surgical education and the development of aspiring microsurgeons. Furthermore, our framework emerges to precisely distinguish and classify proficiency levels (novice and intermediate) exhibited by microsurgeons.
Instrumental assessment of pressure pain threshold over trigeminal and extra-trigeminal area in people with episodic and chronic migraine: a cross-sectional observational study
Authors: Deodato Manuela , Granato Antonio , Martini Miriam , Sabot Raffaele , Buoite Stella Alex , Manganotti Paolo 
Published: February 2024

Abstract
Background
Central and peripheral sensitization are characterized by widespread hyperalgesia that is manifested by larger pain extent area and reduction in pressure pain threshold (PPT). PPT decreases in patients with migraine not only over the trigeminal cervical complex but also throughout the body.

Methods
A cross-sectional study was adopted to assess the local and widespread hyperalgesia in chronic and episodic migraine patients respect to healthy controls. The guidelines of Andersen’s were used to evaluate the PPT bilaterally over 3 muscles in the trigemino-cervical complex (temporalis, sub-occipitalis, trapezius) and over 1 muscle far from this area (tensor fasciae latae).

Results
Thirty subjects with episodic migraine (35.8 ± 2.82 years), 30 with chronic migraine (53.03 ± 19.79 years), and 30 healthy controls (29.06 ± 14.03 years) were enrolled. The interaction effect was present for the trapezius muscle with a significant difference between the right and the left side in episodic group (p = 0.003). A group effect was highlighted in all four muscles analyzed such as suboccipital (p < 0.001), temporalis (p > 0.001), trapezius (p < 0.001), and TFL (p < 0.001). PPT was usually higher in the control group than in the episodic group which in turn was characterized by higher PPT values than the chronic group.

Conclusions
People with chronic and episodic migraine presented lower PPT than healthy controls both in the trigeminal and in the extra-trigeminal area. People with chronic migraine presented lower PPT than episodic migraine only in the trigeminal area. Temporalis and sub-occipitalis are the most sensitive muscles in people with chronic and episodic migraine.
Local mitigation of higher-order ionospheric effects in DFMC SBAS and system performance evaluation
Authors: Sophan Somkit , Supnithi Pornchai , Myint Lin M. M. , Saito Susumu , Hozumi Kornyanat , Nishioka Michi 
Published: February 2024

AbstractDual-frequency multi-constellation (DFMC) satellite-based augmentation system (SBAS) is a new SBAS standard for aeronautical navigation systems. It supports aircraft navigation from the enroute to approach phases via the L1 and L5 frequencies (1575.42 and 1176.45 MHz). Although the ionosphere-free (IF) combination in the DFMC SBAS operation removes the first-order ionospheric delays in the pseudorange measurement, remaining terms including the satellite-clock offset errors and higher-order ionospheric (HOI) delays are still unaccounted for. The DFMC SBAS accuracy and integrity can be affected by the HOI effects, especially during severe ionospheric disturbances. In this work, we present the local DFMC SBAS corrections with and without the mitigation of HOI delays. We first estimate the HOI delay terms using the received pseudorange followed by separate satellite and receiver bias estimations based on the minimum sum-variance technique. The integrity terms can then be obtained. The performances of DFMC SBAS using the global navigation satellite system (GNSS) data including GPS, Galileo, and QZSS are evaluated using obtained GNSS data at stations in Thailand on the ionospheric quiet and disturbed days. The results show that with the HOI mitigation, the vertical positioning errors (VPE) on the quiet and disturbed days can be improved by 12% and 9%, whereas the vertical protection levels (VPL) are improved by 16% and 21%, respectively. In addition, we perform a preliminary assessment of DFMC SBAS based on the International Civil Aviation Organization (ICAO) requirements of two categories: Localizer Performance with Vertical guidance (LPV-200) and Category I precision approach (CAT-I) showing promising results.
Deep Learning for Perfusion Cerebral Blood Flow (CBF) and Volume (CBV) Predictions and Diagnostics
Authors: Talebi Salmonn , Gai Siyu , Sossin Aaron , Zhu Vivian , Tong Elizabeth , Mofrad Mohammad R. K. 
Published: February 2024

AbstractDynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) is a non-invasive imaging technique for hemodynamic measurements. Various perfusion parameters, such as cerebral blood volume (CBV) and cerebral blood flow (CBF), can be derived from DSC-MRP, hence this non-invasive imaging protocol is widely used clinically for the diagnosis and assessment of intracranial pathologies. Currently, most institutions use commercially available software to compute the perfusion parametric maps. However, these conventional methods often have limitations, such as being time-consuming and sensitive to user input, which can lead to inconsistent results; this highlights the need for a more robust and efficient approach like deep learning. Using the relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) perfusion maps generated by FDA-approved software, we trained a multistage deep learning model. The model, featuring a combination of a 1D convolutional neural network (CNN) and a 2D U-Net encoder-decoder network, processes each 4D MRP dataset by integrating temporal and spatial features of the brain for voxel-wise perfusion parameters prediction. An auxiliary model, with similar architecture, but trained with truncated datasets that had fewer time-points, was designed to explore the contribution of temporal features. Both qualitatively and quantitatively evaluated, deep learning-generated rCBV and rCBF maps showcased effective integration of temporal and spatial data, producing comprehensive predictions for the entire brain volume. Our deep learning model provides a robust and efficient approach for calculating perfusion parameters, demonstrating comparable performance to FDA-approved commercial software, and potentially mitigating the challenges inherent to traditional techniques.
Transforming self-experienced vulnerability into professional strength: a dialogical narrative analysis of medical students’ reflective writing
Authors: Valestrand Eivind Alexander , Kvernenes Monika , Kinsella Elizabeth Anne , Hunskaar Steinar , Schei Edvin 
Published: February 2024

AbstractMedical students’ efforts to learn person-centered thinking and behavior can fall short due to the dissonance between person-centered clinical ideals and the prevailing epistemological stereotypes of medicine, where physicians’ life events, relations, and emotions seem irrelevant to their professional competence. This paper explores how reflecting on personal life experiences and considering the relevance for one’s future professional practice can inform first-year medical students’ initial explorations of professional identities. In this narrative inquiry, we undertook a dialogical narrative analysis of 68 essays in which first-year medical students reflected on how personal experiences from before medical school may influence them as future doctors. Students wrote the texts at the end of a 6-month course involving 20 patient encounters, introduction to person-centered theory, peer group discussions, and reflective writing. The analysis targeted medical students’ processes of interweaving and delineating personal and professional identities. The analysis yielded four categories. (1) How medical students told their stories of illness, suffering, and relational struggles in an interplay with context that provided them with new perspectives on their own experiences. Students formed identities with a person-centered orientation to medical work by: (2) recognizing and identifying with patients’ vulnerability, (3) experiencing the healing function of sharing stories, and (4) transforming personal experiences into professional strength. Innovative approaches to medical education that encourage and support medical students to revisit, reflect on, and reinterpret their emotionally charged life experiences have the potential to shape professional identities in ways that support person-centered orientations to medical work.
Flood risk assessment and adaptation under changing climate for the agricultural system in the Ghanaian White Volta Basin
Authors: Smits Wouter K. , Attoh Emmanuel M. N. A. N. , Ludwig Fulco 
Published: February 2024

AbstractIn the context of river basins, the threat of climate change has been extensively studied. However, many of these studies centred on hazard analysis while neglecting the need for comprehensive risk assessments that account for exposure and vulnerability. Hazard analysis alone is not adequate for making adaptive decisions. Thus, to effectively manage flood risk, it is essential to understand the elements that contribute to vulnerability and exposure in addition to hazard analysis. This study aims to assess flood risk (in space and time until the year 2100) for the agricultural system, in the White Volta Basin in northern Ghana. Employing the impact chain methodology, a mix of quantitative and qualitative data and techniques were used to assess hazard, exposure, and vulnerability. Multi-model climate change data (RCP 8.5) from CORDEX and observation data from the Ghana Meteorological Agency were used for hazard analysis. Data on exposure, vulnerability, and adaptation were collected through structured interviews. Results indicate that flood hazard will increase by 79.1% with high spatial variability of wet periods but the flood risk of the catchment will increase by 19.3% by the end of the twenty-first century. The highest flood risk is found in the Upper East region, followed by North East, Northern, Savannah, and Upper West for all four analysed periods. Adaptive capacity, sensitivity, and exposure factors are driven by poverty, ineffective institutional governance, and a lack of livelihood alternatives. We conclude that the region is highly susceptible and vulnerable to floods, and that shifting from isolated hazard analysis to a comprehensive assessment that considers exposure and vulnerability reveals the underlying root causes of the risk. Also, the impact chain is useful in generating insight into flood risk for policymakers and researchers. We recommend the need to enhance local capacity and foster social transformation in the region.