bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors and Outcomes of Mental Health Conditions Among Patients with Colorectal Cancer
Authors: Taylor Sydney M. , Tumin Dmitry , Tiu Lance C. , Patel Pankti S. , Honaker Michael D. 
Published: November 2024

Abstract
Purpose
Mental health (MH) conditions are common in patients with colorectal cancer (CRC) due to the unique challenges these patients encounter. The primary aim was to investigate predictors of new onset MH conditions after a diagnosis of CRC and determine the association of new MH conditions on survival.

Methods
A single institution, retrospective study was conducted. A multivariable Fine-Gray competing risks model was used to describe the primary study outcome of new MH diagnosis in patients at least 18 years of age with CRC. Survival was modeled using Cox proportional hazards regression with a time-varying covariate for new MH diagnosis.

Results
456 patients were identified for inclusion, with 16% developing a new MH condition and 29% dying during follow-up. A new MH condition was more likely among non-Hispanic white patients compared to non-Hispanic black and were less likely among those who are male or had a pre-cancer MH condition. The onset of a new MH condition was associated with a threefold decrease in survival. In addition, having a pre-cancer MH condition decreased survival nearly twofold.

Conclusions
Our findings emphasize the importance of new-onset MH in patients after CRC diagnosis. Standardized screenings may alleviate some of the MH burden that patients with CRC experience in addition to potentially improving the overall health of patients.
Implications for Cancer Survivors.
MH conditions may impact not only CRC outcomes but may direct future studies analyzing the risks of new onset MH conditions in other types of cancers, further expanding the importance of psychiatric support in patients with cancer.
Serum Mature and Precursor Brain-Derived Neurotrophic Factors and Their Association with Neurocognitive Function in ART-Naïve Adults Living with HIV in Sub-Saharan Africa
Authors: Michael Henry U. , Rapulana Antony M. , Smit Theresa , Xulu Njabulo , Danaviah Sivapragashini , Ramlall Suvira , Oosthuizen Frasia 
Published: November 2024

AbstractThis study investigates the association between serum mature brain-derived neurotrophic factor (mBDNF), its precursor proBDNF, and neurocognitive function in ART-naïve adults with HIV in sub-Saharan Africa, exploring the distinct roles of these neurotrophic factors in cognitive health. This cross-sectional analysis utilized stored baseline serum samples and neuropsychological test data from participants in the AIDS Clinical Trials Group (ACTG) A5199 study in the Johannesburg and Harare sites. Serum concentrations of mBDNF and proBDNF were quantified using ELISA. Neurocognitive function was assessed via standardized tests, with results adjusted for site-specific demographics. Linear and quantile regression models examined the relationship of mBDNF and proBDNF with a composite cognitive score (NPZ-6), and structural equation modeling (SEM) explored their association with individual cognitive test outcomes. The analysis involved 157 ART-naïve adults with HIV. Increased serum mBDNF levels showed a significant positive association with cognitive performance (β = 1.30, p = 0.02), while elevated proBDNF levels were linked to poorer outcomes, particularly affecting fine motor skills and speed (β =  − 0.29 to − 0.38, p ≤ 0.01). Quantile regression analysis highlighted mBDNF’s stronger positive impact at higher cognitive performance percentiles (β = 1.04 (0.01, 2.06) at the 75th percentile), while proBDNF showed significant negative association at the 75th percentile (β =  − 0.26 (− 0.47, − 0.06)). The study highlights the positive association of mature BDNF and the negative association of proBDNF with cognitive function in HIV. These findings emphasize the need for longitudinal research to understand the temporal dynamics of neurotrophic factors during ART initiation and their potential as targets for neurocognitive interventions in HIV.
Navigating the Landscape of Organizational Process Mining Setups
Authors: Marcus Laura , Schmid Sebastian Johannes , Friedrich Franziska , Röglinger Maximilian , Grindemann Philipp 
Published: November 2024

AbstractProcess mining (PM) technology evolves around the analysis, design, implementation, and ongoing improvement of business processes. While it has experienced a lot of attention and significant technological advancements, contributions to the field have mostly revolved around technical matters, neglecting managerial and organizational aspects. Thus, researchers have called for a more holistic view of the application and adoption of PM in enterprises. To address this gap, this paper presents a taxonomy for organizational PM setups. Its applicability and usefulness are shown in three exemplary cases. This study extends the descriptive knowledge at the intersection of PM and business process management governance, highlighting the unique governance requirements associated with PM that cannot be effectively addressed through traditional governance approaches. The taxonomy provides practitioners with orientation when developing an effective PM setup and helps to characterize existing setups.
Effects of Saccharomyces cerevisiae on Pancreatic Alpha and Beta Cells and Metabolic Profile in Broilers
Authors: Peña B. Silvana J. , Salazar J. Johan S. , Pardo Jhon F. , Roa Maria L. , Corredor-Matus José R. , Ochoa-Amaya Julieta E. 
Published: November 2024

AbstractTo evaluate the impact of Saccharomyces cerevisiae (SC) supplementation on pancreatic islet areas, alpha and beta cell populations, blood glucose levels, and lipid profiles in broilers, broilers were randomly assigned to two groups: a control group (T1) without SC and a treatment group (T2) supplemented with SC. Islet areas, alpha and beta cell counts, serum glucose and insulin levels, and lipid profiles were assessed. SC supplementation significantly decreased blood glucose levels compared to the control group. Additionally, HDL cholesterol levels were elevated in the SC-supplemented group. Although insulin levels remained unchanged, SC supplementation altered the correlation between pancreatic islet areas and alpha and beta cell populations, suggesting a potential influence on pancreatic islet function. Dietary supplementation with Saccharomyces cerevisiae can improve glycemic control and lipid profile in broilers. These findings highlight the potential benefits of using SC as a dietary additive in broiler production.
Reaping what we sow: Centering values in food systems transformations research
Authors: Care O. , Zaehringer Julie G. , Bernstein Michael J. , Chapman Mollie , Friis Cecilie , Graham Sonia , Haider L. Jamila , Hernández-Morcillo Mónica , Hoffmann Harry , Kernecker Maria Lee , Pitt Hannah , Seufert Verena 
Published: November 2024

AbstractIn many transdisciplinary research settings, a lack of attention to the values underpinning project aims can inhibit stakeholder engagement and ultimately slow or undermine project outcomes. As a research collective (The Careoperative), we have developed a set of four shared values through a facilitated visioning process, as central to the way we work together: care, reflexivity, inclusivity, and collectivity. In this paper, we explore the implications of a values-centered approach to collaboration in food system transformation research. The paper presents two cases that illustrate how researchers might approach centering values in practice. Where much research on food system transformation focuses on values of food system stakeholders, we contribute insights into the values of researchers in such transdisciplinary endeavors. Specifically, we argue that researchers working on sustainability transformations need to be better prepared to engage in such reflections and aspire to embody values aligned with the transformations they seek to research.
Understanding and simulating of three-dimensional subsurface hydrological partitioning in an alpine mountainous area, China
Authors: Zhang Lanhui , Tu Jiahao , An Qi , Liu Yu , Xu Jiaxin , Zhang Haixin 
Published: November 2024

AbstractCritical zone (CZ) plays a vital role in sustaining biodiversity and humanity. However, flux quantification within CZ, particularly in terms of subsurface hydrological partitioning, remains a significant challenge. This study focused on quantifying subsurface hydrological partitioning, specifically in an alpine mountainous area, and highlighted the important role of lateral flow during this process. Precipitation was usually classified as two parts into the soil: increased soil water content (SWC) and lateral flow out of the soil pit. It was found that 65%–88% precipitation contributed to lateral flow. The second common partitioning class showed an increase in SWC caused by both precipitation and lateral flow into the soil pit. In this case, lateral flow contributed to the SWC increase ranging from 43% to 74%, which was notably larger than the SWC increase caused by precipitation. On alpine meadows, lateral flow from the soil pit occurred when the shallow soil was wetter than the field capacity. This result highlighted the need for three-dimensional simulation between soil layers in Earth system models (ESMs). During evapotranspiration process, significant differences were observed in the classification of subsurface hydrological partitioning among different vegetation types. Due to tangled and aggregated fine roots in the surface soil on alpine meadows, the majority of subsurface responses involved lateral flow, which provided 98%–100% of evapotranspiration (ET). On grassland, there was a high probability (0.87), which ET was entirely provided by lateral flow. The main reason for underestimating transpiration through soil water dynamics in previous research was the neglect of lateral root water uptake. Furthermore, there was a probability of 0.12, which ET was entirely provided by SWC decrease on grassland. In this case, there was a high probability (0.98) that soil water responses only occurred at layer 2 (10–20 cm), because grass roots mainly distributed in this soil layer, and grasses often used their deep roots for water uptake during ET. To improve the estimation of soil water dynamics and ET, we established a random forest (RF) model to simulate lateral flow and then corrected the community land model (CLM). RF model demonstrated good performance and led to significant improvements in CLM simulation. These findings enhance our understanding of subsurface hydrological partitioning and emphasize the importance of considering lateral flow in ESMs and hydrological research.
Causal discovery from nonstationary time series
Authors: Sadeghi Agathe , Gopal Achintya , Fesanghary Mohammad 
Published: November 2024

Abstract
This paper introduces a new causal structure learning method for nonstationary time series data, a common data type found in fields such as finance, economics, healthcare, and environmental science. Our work builds upon the constraint-based causal discovery from nonstationary data algorithm (CD-NOD). We introduce a refined version (CD-NOTS) which is designed specifically to account for lagged dependencies in time series data. We compare the performance of different algorithmic choices, such as the type of conditional independence test and the significance level, to help select the best hyperparameters given various scenarios of sample size, problem dimensionality, and availability of computational resources. Using the results from the simulated data, we apply CD-NOTS to a broad range of real-world financial applications in order to identify causal connections among nonstationary time series data, thereby illustrating applications in factor-based investing, portfolio diversification, and comprehension of market dynamics.
On-site physiotherapy in older emergency department patients following a fall: a randomized controlled trial
Authors: Benhamou Jonathan , Espejo Tanguy , Riedel Henk B. , Dreher-Hummel Thomas , García-Martínez Ana , Gubler-Gut Barbara , Kirchberger Joris , Overberg Jan-Arie , Perrot Guido , Bingisser Roland , Nickel Christian H. 
Published: November 2024

Abstract

Purpose
Greater fear of falling (FOF) is associated with an increased risk of falling in patients aged 65 and older. This study aims to assess the impact of physiotherapy on FOF in older patients and investigates the feasibility of such an intervention in the emergency department (ED) setting.

Methods
All patients aged 65 or older, who presented to the ED of the University Hospital Basel after a fall between January 2022 and June 2023 were screened for inclusion. Participants were assigned to an intervention or control group depending on the randomized presence or absence of a physiotherapist at inclusion. Both groups received the same fall prevention booklet. Physiotherapists instructed and performed exercises with patients in the intervention group. The primary outcome was the difference in FOF between groups 7 days post inclusion, assessed by short Falls Efficacy Scale International (sFES-I). Secondary outcomes included feasibility, overall reduction of FOF, patient satisfaction, the occurrence of falls post inclusion and the use of medical resources.

Results
Of the 1204 patients screened for inclusion, 104 older adults with a recent fall were enrolled (intervention: n = 44, control: n = 60); median age was 81 years and 59.1% were female. There was no between-group difference in FOF as measured by sFES-I within a week of inclusion (p = 0.663, effect size = 0.012 [95% confidence interval (CI) – 0.377 to 0.593]). Despite the intervention being deemed feasible from the physiotherapist’s perspective, the study encountered challenges, such as low recruitment (with the planned sample size not being reached) and a notable dropout rate before the first follow-up.

Conclusion
A physiotherapy intervention in the ED showed no improvement in FOF when compared to a control group.

Trial registration
Trial registration number and date NCT05156944, 01.12.2021.
Silymarin attenuates oxidative stress and pathological changes induced by salinomycin in adult male rabbits
Authors: Hopo Mai G. , Ghonaim Ahmed H. , AboElnaga Tarek R. , Elgawish Rania Abdelrahman , Abdou Rania H. , Elhady Kawther A. 
Published: November 2024

AbstractFeed additives are used in animal husbandry to prevent diseases and enhance growth rates. Salinomycin sodium (SAL) is an approved feed additive for rabbit fattening diets, typically administered at a dosage of 20–25 mg/kg feed with a 5-day withdrawal period. However, the misuse or abuse of SAL can result in toxicity in rabbits. This study aimed to evaluate the adverse effects of SAL administration in different organs for the first time and the protective role of silymarin in rabbits. Seven groups of rabbits were randomly allocated. The control group received no additives. The second and third groups received rations with 20 mg SAL/kg and 40 mg SAL/kg, respectively. The fourth and fifth groups received the same SAL doses with silymarin at 6.5 mg/kg body weight (bw) and 13 mg/kg bw, respectively. The sixth and seventh groups were administered silymarin alone at 6.5 mg/kg bw and 13 mg/kg bw, respectively. Rabbits were euthanized and slaughtered on day 29 following the Halal method. SAL at 20 mg/kg ration caused mild to moderate pathological changes compared to the control group, while 40 mg SAL/kg ration induced severe pathological changes. However, silymarin supplementation, alone or with SAL, improved organs histology. Both silymarin doses (6.5 mg/kg bw and 13 mg/kg bw) mitigated SAL's harmful effects. In conclusion, this study highlights the potential detrimental effects of SAL toxicity on different organs in rabbits. The supplementation of silymarin reduced and prevented these hazardous effects. These findings emphasize the promising role of silymarin as a protective agent against SAL-induced toxicity in rabbits.
The role of data embedding in equivariant quantum convolutional neural networks
Authors: Das Sreetama , Martina Stefano , Caruso Filippo 
Published: November 2024

AbstractGeometric deep learning refers to the scenario in which the symmetries of a dataset are used to constrain the parameter space of a neural network and thus, improve their trainability and generalization. Recently, this idea has been incorporated into the field of quantum machine learning, which has given rise to equivariant quantum neural networks (EQNNs). In this work, we investigate the role of classical-to-quantum embedding on the performance of equivariant quantum convolutional neural networks (EQCNNs) for the classification of images. We discuss the connection between the data embedding method and the resulting representation of a symmetry group and analyze how changing representation affects the expressibility of an EQCNN. We numerically compare the classification accuracy of EQCNNs with three different basis-permuted amplitude embeddings to the one obtained from a non-equivariant quantum convolutional neural network (QCNN). Our results show a clear dependence of classification accuracy on the underlying embedding, especially for initial training iterations. The improvement in classification accuracy of EQCNN over non-equivariant QCNN may be present or absent depending on the particular embedding and dataset used. The noisy simulation using simple noise models shows that certain EQCNNs are more robust to noise than non-equivariant QCNNs. It is expected that the results of this work can be useful to the community for a better understanding of the importance of data embedding choice in the context of geometric quantum machine learning.
Pediatric endoscopic pilonidal sinus treatment (PEPSiT) for managing pilonidal disease in adolescents
Authors: Fadgyas Balazs , Vajda Peter 
Published: November 2024

Abstract
Purpose
The aim was to evaluate the success rate, complications and recurrence following paediatric endoscopic pilonidal sinus treatment (PEPSiT) in the treatment of pilonidal disease (PD).

Methods
A prospective observational study was performed between 01.06.2019 and 30.06.2022 at the author’s institute in patients under 18 years. The indication for PEPSiT was moderate or severe PD. Length of hospital stay (LOS), complications, recurrence, wound healing time (fistula closing) and postoperative hair removal were observed.

Results
During the study period, 51 PEPSiTs (4 redo) were performed in 47pts. The average age of the studied patients was 15.92 years at the operation. LOS was a day in all cases. The regular day activity came back on the 1.07 postoperative day (in average). The fistula closing time was 6.5 (1–24) weeks. Complication observed in 9/47 patients. Recurrence (including non-healed cases) was found in 15/51 (29.4%) cases. The postoperative hair removal was inadequate (23) or missed (7) in 30pts and the majority of recurrent cases (11/15) were found in this group. The overall success rate of PEPSiT was 70.4%.

Conclusions
The main reason of recurrence following PEPSiT could be the insufficient hair removal. The advantage of the procedure is the shorter LOS and faster recovery.
Towards sustainable food systems: a review of governance models and an innovative conceptual framework
Authors: Donner Mechthild , Mamès Maurine , de Vries Hugo 
Published: November 2024

AbstractTo accelerate the transition towards inclusive, ecological, just and economically viable food systems, insights into appropriate governance models and principles are needed. This article aims to understand how food system governance is linked to and can contribute to sustainability. A review of 34 articles addressed food system governance, sustainability, current barriers and potential solutions. Some authors propose new, participatory, collaborative and democratic governance models to achieve a sustainable food system transition. Other authors consider a lack of integrated policies across sectors and siloed governance major barriers to holistic sustainability agendas and food system approaches. Three main elements of governance emerged from the reviewed literature: (i) interactions between actors, (ii) control and power balances, and (iii) (in)formal rules. Our analysis provides a fourth element: the orchestration of (multiple) food systems and policies. These four elements are integrated into a novel conceptual framework for consistently researching food systems governance for sustainability. The latter is now defined as ‘the continuous process of orchestration of policies and (multiple) food systems consisting of diverse interacting actors, respecting (in)formal rules and striving to provide food for all, in equitable and environmentally-friendly ways, at any time and in any context’.
Seismic Microzonation and Geotechnical Modeling Studies Considering Local Site Effects for İnegöl Plain (Bursa‐Turkey)
Authors: Uyanık O. , Öncü Z. , Uyanık N. A. , Ekin N. 
Published: November 2024

AbstractLocal site effects play a vital role in determining the level of structural damage to the structures built on soil. Therefore, correctly determining the underground layer structure and its physical characteristics in the lateral and vertical directions is essential for the geotechnical model. More information and more accurate results will be obtained if the geotechnical model is evaluated multidisciplinary together with geophysical studies, not only based on drilling results. For this purpose, vertical electric sounding, seismic refraction, microtremor, and mechanical drilling techniques were applied within the scope of geotechnical studies in the İnegöl district of Bursa. The methods were evaluated together, and the geotechnical cross‐sections of the underground were interpreted. In addition, microzonation maps determined from Geophysical parameters were created in the study area. These maps, geotechnical cross‐sections, and microtremor data evaluation results predicted how the study area's buildings and soils would behave under dynamic forces such as earthquakes. As a result, the soils in the study area were mainly saturated with water and had weak strength. Existing or newly constructed engineering structures on such soils are predicted from microzonation maps that will damage both the soils and the buildings in a seven‐magnitude earthquake.
Observing Array Designed for Improving the Short‐Term Prediction of Kuroshio Extension State Transition Processes
Authors: Geng Yu , Wang Qiang , Ren Hong‐Li , Dan Bo , Pierini Stefano , Zhang Hui 
Published: November 2024

AbstractGiven the essential implications of Kuroshio Extension (KE) bimodality on oceanic dynamical environment and climate, the present study investigates the targeted observation schemes, based on the conditional nonlinear optimal perturbation (CNOP) method and a reduced‐gravity shallow‐water model, to improve the forecast skills of transition processes of KE bimodal states. To obtain a suitable observing array, the observation schemes, with different numbers of observation sites and observation distances between two sites, are designed. Furthermore, to demonstrate the superiority of the observing networks in predicting KE transition processes, two existing observation schemes and six random observation schemes are compared with the CNOP‐determined observing array. Based on this, a relatively optimal observing array with three sites and observation distance of 90 km is established, which is mainly located between 31°N and 33°N in the south of Japan. This targeted observing network is universal for two KE transition processes. The removal of initial errors on this array results in the mean prediction improvements of about 9.2% and 22.5% for KE transition processes from the low‐ to the high‐energy state and from the high‐ to the low‐energy state, respectively.