bluuebunny/crossref_metadata_2025_split huggingface dataset:
Citizens’ perceptions and willingness to pay for urban beekeeping: a case study in northern Italy
Authors: Notaro Sandra , Paletto Alessandro , Mira Alessio , Grilli Gianluca 
Published: February 2025

Abstract
Recently, urban beekeeping has been recognized as an important activity capable of generating many environmental, economic, and social benefits for society. Urban beekeeping is considered a valuable activity that balances the increase in honey production and urban biodiversity conservation in a sustainable way. However, there is no available literature on citizens’ perceptions and willingness to support urban beekeeping at the local level financially. This study investigated the citizens’ perceptions and willingness to pay (WTP) for urban beekeeping in a case study in Italy. To this end, an online survey was administered with a sample of citizens of the Taino municipality near the Milan metropolitan area, where there is a project to realize an urban apiary. At the end of data collection, 153 citizens completed the questionnaire, corresponding to approximately 5% of inhabitants. The results highlighted that for most respondents, the main benefits provided by urban apiaries are related to the awareness and educational activities on the role of honey bees in the urban environment. Besides, the results showed that 60.1% of respondents are willing to contribute financially to the construction of the municipal apiary through a one-time donation, while the remaining 39.9% said they were not willing to contribute financially, citing reasons for protest. The average WTP was estimated at € 22.21 per person, corresponding to a total value of € 48,742.24. The findings can be considered a starting point to help decision-makers understand the importance of urban beekeeping not only from an environmental but also from a socio-economic point of view.
Comparing the effect of laparoscopic and robotic stapling on clinical outcomes, efficiency, and costs of robot-assisted Roux-en-Y gastric bypass
Authors: Hafermann Juliane O. , Phelps Jarrod D. , Tayash Mahmoud F. El 
Published: February 2025

Abstract
Roux-en-Y gastric bypass (RYGB) is a commonly used surgery to successfully and durably treat obesity that is increasingly performed robotically. The anastomoses created during robot-assisted RYGB are usually stapled, either using laparoscopic or robotic staplers. This study aimed to compare the peri-operative efficiency, costs, and clinical outcomes of laparoscopic and robotic staplers in robot-assisted RYGB. This retrospective study analyzed patients who underwent robot-assisted RYGB (with or without hiatal hernia repair) with the Da Vinci Xi robotic system in a private practice in the United States. The gastric pouch and anastomoses were created either with robotic SureForm™ staplers or laparoscopic Endo GIA™ staplers; enterotomies and incisions were closed with sutures. The primary outcome was procedure time. The secondary outcomes were instrument exchanges and reloads used, stapling costs, length of stay, and complications within 3 months. Of the 105 patients included, 50 patients were treated with robotic staplers and 55 with laparoscopic staplers. None were lost to follow-up. Laparoscopic staplers were more efficient than robotic ones: they significantly reduced procedure times across all analyzed categories as well as the number of instrument exchanges and reloads needed per surgery. There was no difference in the length of hospital stay, and no complications were reported. The higher number of reloads and the higher unit cost resulted in higher total stapling costs for robotic compared to laparoscopic staplers. While robotic staplers in robot-assisted RYGB are safe and feasible, laparoscopic staplers improve efficiency, reduce resource use, and lower costs without compromising patient safety.
Detection and management of postoperative atrial fibrillation after coronary artery bypass grafting or non-cardiac surgery: a survey by the AF-SCREEN International Collaboration
Authors: Boriani Giuseppe , Imberti Jacopo F. , McIntyre William F. , Mei Davide A. , Healey Jeff S. , Schnabel Renate B. , Svennberg Emma , Camm A. John , Freedman Ben 
Published: February 2025

Abstract
We developed a survey to describe current practice on the detection and management of new-onset postoperative atrial fibrillation (POAF) occurring after coronary artery bypass grafting (CABG) or non-cardiac surgery. We e-mailed an online anonymous questionnaire of 17 multiple choice or rank questions to an international network of healthcare professionals. Between June 2023 and June 2024, 158 participants from 25 countries completed the survey. For CABG patients, 62.7% of respondents reported use of telemetry to detect POAF on the ward until discharge, and 40% reported no dedicated methods for monitoring AF recurrences during follow-up. The largest number (46%) reported prescribing oral anticoagulants (OACs) at discharge if patients were at risk according to CHA2DS2-VASc/CHA2DS2-VA scores, and the most common duration of OAC therapy was 3 months to 1 year (43%). For non-cardiac surgery patients, POAF detection methods varied, with 29% using periodic 12-lead ECG and 27% using telemetry followed by periodic ECGs. For monitoring AF recurrence, 33% reported planned cardiology visits with ECG. Regarding OAC prescription during follow-up, 51% reported they prescribe OACs only for patients who are at risk of stroke, and 42% prescribe OACs for an interval of 3 months to 1 year. The most commonly reported barrier to OAC prescription was the lack of randomized controlled trial data. For both CABG and non-cardiac surgery, the reported methods for POAF detection and recurrences monitoring were heterogeneous and prescription patterns for OACs varied greatly. The most frequently reported concern about long-term anticoagulation was lack of randomized data, indicating the urgent need for sound studies that inform daily clinical practice.
Pelargonium graveolens Attenuates Rotenone-Induced Parkinson’s Disease in a Rat Model: Role of MAO-B Inhibition and In Silico Study
Authors: Merghany Rana M. , El-Sawi Salma A. , Naser Asmaa F. Aboul , Salem Mohamed A. , Ezzat Shahira M. , Moustafa Sherifa F. A. , Meselhy Meselhy R. 
Published: February 2025

Abstract
Parkinson’s disease (PD), the second most common neurodegenerative condition, is primarily characterized by motor dysfunctions due to dopaminergic neuronal loss in the Substantia Nigra (SN), with oxidative stress playing a significant role in its progression. This study investigates the neuroprotective potential of Pelargonium graveolens (Thunb.) L’Hér leaves in a rotenone-induced PD rat model. The total ethanolic extract and its fractions, obtained via Diaion HP-20 column chromatography, were evaluated for monoamine oxidase-B (MAO-B) inhibition in vitro. The 50% methanol fraction (PG50) demonstrated the highest MAO-B inhibition (IC50 5.26 ± 0.12 µg/ml) compared to the reference drug selegiline (IC50 0.021 ± 0.003 µg/ml). In a rotenone-induced PD rat model, PG50 (100 mg/kg, p.o.) alleviated motor deficits (assessed via the wire hanging test), and restored norepinephrine, dopamine, and serotonin levels. PG50 and l-dopa reduced α-synuclein levels by 367.60% and 377.48%, respectively. Oxidative balance was restored with increased glutathione (23.12%) and decreased malondialdehyde (164.19%) in brain tissues. PG50 significantly reduced serum TNF-α (572.79%) and IL-6 (70.84%) levels, and improved succinate dehydrogenase (14.47%) and lactate dehydrogenase (7.74%) activities in brain tissues. Histopathological alterations in the SN were also ceased. UPLC-MS/MS analysis identified 61 metabolites, including 32 flavonoids, 13 phenolic acids, 7 coumarins, 5 phenolic glycosides, and 4 dicarboxylic acids, with in silico docking showing strong MAO-B binding by methoxylated flavonoids like methoxyluteolin dimethyl ether (docking score: − 8.0625 kcal/mol), surpassing that of safinamide (− 8.2615 kcal/mol). These findings suggest that P. graveolens holds promise as a neuroprotective agent against rotenone-induced PD.
Shifting routines and the industrialisation of scams: the impact of Covid-19 on deception crimes in Hong Kong
Authors: Akartuna Eray Arda , Yeung Felix Sin Wai , Manning Matthew , Bish Alexandre 
Published: February 2025

Abstract
We investigate the impact of the Covid-19 pandemic on “deception” (predominantly fraud) crime rates in Hong Kong, analysing the impact of specific restrictions imposed between February 2020 and June 2023. We use an Auto ARIMA time series model to compare pre-pandemic and pandemic rates of deception. During the pandemic months, we assess changes to the deception rate based on the imposition and relaxing of Covid policies, including lockdowns, quarantine requirements, travel restrictions and financial stimulus payments. Similar to existing literature, we find that deception crimes increased during the pandemic and were always above the upper bound of ARIMA-forecasted rates of deception crimes during those months. However, contrary to findings from earlier studies during the pandemic itself, we find that periods of relaxed policies – particularly the easing of lockdown and travel restrictions – were in fact associated with higher rates of deception crimes. We consider our findings through the lens of routine activity theory and crime displacement theory. Drawing on existing studies, we provide explanations for identified trends, pointing to the shifting nature of both offender and victim routines, such as increased phone and social media usage, both during and post-pandemic. Specifically, we emphasise the industrialisation of deception (so-called “pig butchering”) in dedicated scam compounds across Southeast Asia, which engage in labour trafficking (made easier in months of eased lockdown/travel restrictions) to upscale their operations. We consider our explanations from the perspectives of routine adaptability and resilience, which we motivate as a theoretical contribution for assessing the crime implications of disruptive events more widely.
Depression as a mediator between sensory processing sensitivity and prefrontal symptoms in Spanish adults
Authors: Costa-López Borja , Ruiz-Robledillo Nicolás , Moreno Oswaldo , Tirado Camila , Albaladejo-Blázquez Natalia , Ferrer-Cascales Rosario 
Published: February 2025

Abstract
Sensory processing sensitivity (SPS) is an innate personality trait that describes how individuals perceive and capture environmental information. The extensive literature suggests that people high in SPS may present health implications, such as depressive symptoms and prefrontal symptoms. Prefrontal symptoms are related to executive functioning, especially to emotional, social, behavior control problems such as decision making or planification/organization problems, impulsivity, working memory difficulties. We recruited eight hundred Spanish adults (M = 26.66 years old, SD = 12.24) and completed the self-administer questionnaires on SPS, depression, and prefrontal symptoms. This study performed correlation and mediational analyses. Our results indicated positive associations of the depression variable with emotional (r = 0.481, p < 0.001) and behavioral (r = 0.534, p < 0.001) control problems, and also with prefrontal symptoms as a general factor (r = 0.572, p < 0.001), and SPS (r = 0.201, p < 0.001). SPS was also positively correlated with emotional (r = 0.354, p < 0.001), behavioral (r = 0.276, p < 0.001) control problems, and prefrontal symptoms as a general factor (r = 0.303, p < 0.001). Depression also showed a partial mediation between SPS and both emotional (R2 = 0.38, p < 0.001, 95% CI [0.078, 0.142]) and behavioral (R2 = 0.339, p < 0.001, 95% CI [0.097, 0.168]) control problems. Depression seems to mediate the relationship between SPS and prefrontal symptoms, being highly sensitive individuals with a tendency to depressive symptoms and problems related to emotional, social, and behavioral control.
Discovery of novel naphthalene-based diarylamides as pan-Raf kinase inhibitors with promising anti-melanoma activity: rational design, synthesis, in vitro and in silico screening
Authors: Elkamhawy Ahmed , Ammar Usama M. , Kim Minkyoung , Gul Anam Rana , Park Tae Jung , Lee Kyeong 
Published: February 2025

Abstract
Raf kinase enzymes are often dysregulated in melanoma. While sorafenib demonstrates strong activity against wild-type B-Raf, it fails to effectively inhibit the mutated form of B-Raf. In this study, sorafenib served as a lead compound for the development of new derivatives designed to enhance inhibitory activity across multiple Raf isoforms (pan-Raf inhibitors). Novel naphthalene-based diarylamide derivatives were subsequently designed, synthesized, and evaluated for their biological activity against various Raf kinase isoforms and the melanoma A375 cell line. Among these, compound 9a, containing a difluoromethoxy group, demonstrated strong inhibitory activity across B-RafWT, B-RafV600E, and c-Raf. Additionally, it induced G2/M phase arrest and triggered dose-dependent apoptosis, effectively suppressing both cell proliferation and survival. Compound 9a also exhibited high selectivity for Raf isoforms with minimal off-target effects, underscoring its specificity and therapeutic potential for Raf-driven malignancies.
Multi-isotopic evidence reveals the emergence of a cosmopolitan community at the Luistari cemetery in Eura, Finland, during the early Medieval period (600–1130 CE)
Authors: Danielisová Alžběta , Nordfors Ulla , Kertes Samuel , Wessman Anna , Ackerman Lukáš , Oinonen Markku , Etu-Sihvola Heli , Arppe Laura 
Published: February 2025

Abstract
This study examines the role of the Eura region as a nexus linking the inland with Baltic Sea trade routes. Luistari cemetery, spanning from the early Merovingian to Medieval periods, provides key insights into South-Western Finland’s socio-economic structure and communication networks. Despite its significance, this burial community’s chronological dynamics and regional role remain poorly understood. Using multi-isotopic evidence contextualised with archaeological data, this research explores mobility and subsistence patterns among Luistari’s population. By delineating the bioavailable strontium range in the Eura region, the study assesses the local burial community’s mobility dynamics across various chronological phases. Identification of long- and short-distance migrants, discerned through strontium and carbon isotopes in conjunction with archaeological context, enhances understanding of Luistari within the regional and Circum-Baltic framework. Multi-isotopic evidence further aids in grasping local development within environmental and climatic contexts. Analysis of the strontium isotopic data patterns, combined with carbon and nitrogen, sheds light on settlement locations and subsistence strategies of the Luistari population. Notable transformations during the Viking I period (800–880 CE), marked by the establishment of a “founding” community, and shifts in dietary and migratory patterns in periods V II-III (880–1000 CE), indicate stabilisation of the local socio-economic conditions. Period V IV (1000–1070 CE) reveals connections, both maritime and continental, as the local community integrates into long-distance communication networks. The Final Period (1070–1130 CE) then shows only limited signs of mobility. The data suggest varied mobility patterns over the long-term development of the local community coupled with visibly changing subsistence strategies.
Deep learning for time series forecasting: a survey
Authors: Kong Xiangjie , Chen Zhenghao , Liu Weiyao , Ning Kaili , Zhang Lechao , Muhammad Marier Syauqie , Liu Yichen , Chen Yuhao , Xia Feng 
Published: February 2025

Abstract
Time series forecasting (TSF) has long been a crucial task in both industry and daily life. Most classical statistical models may have certain limitations when applied to practical scenarios in fields such as energy, healthcare, traffic, meteorology, and economics, especially when high accuracy is required. With the continuous development of deep learning, numerous new models have emerged in the field of time series forecasting in recent years. However, existing surveys have not provided a unified summary of the wide range of model architectures in this field, nor have they given detailed summaries of works in feature extraction and datasets. To address this gap, in this review, we comprehensively study the previous works and summarize the general paradigms of Deep Time Series Forecasting (DTSF) in terms of model architectures. Besides, we take an innovative approach by focusing on the composition of time series and systematically explain important feature extraction methods. Additionally, we provide an overall compilation of datasets from various domains in existing works. Finally, we systematically emphasize the significant challenges faced and future research directions in this field.
Association of metformin administration with the serum levels of zinc and homocysteine in patients with type 2 diabetes: a cross-sectional study
Authors: Matsui Sadako , Hiraishi Chika , Sato Ryo , Kojima Takai , Matoba Keiichiro , Fujimoto Kei , Yoshida Hiroshi 
Published: February 2025

Abstract

Background
Metformin treatment has a risk factor of reduced serum concentrations of vitamin B12 and zinc, indicating its association with homocysteine metabolism. However, this association remains to be clarified in patients with type 2 diabetes (T2DM) accompanied by kidney dysfunction.

Methods
This cross-sectional study was conducted in 149 patients with T2DM (96 men, 53 women), including diabetic kidney disease. Serum concentrations of homocysteine, as well as vitamin B12, folic acid, and zinc, were measured in outpatient T2DM patients. The study subjects were divided into two groups: patients with and without metformin administration (Met [ +], n = 62; Met [ −], n = 87). To explore the effect of kidney function, we also analyzed the data after dividing all the patients according to kidney function (chronic kidney disease [CKD] group, n = 66; non-CKD group, n = 83).

Results
The Met ( +) group exhibited significantly higher serum zinc levels and lower serum homocysteine levels than the Met ( −) group. In the non-CKD group, metformin administration was positively associated with serum zinc levels, as demonstrated by multiple linear regression analysis adjusted for confounding factors (β = 0.287, p = 0.021). However, no significant association between metformin administration and serum zinc levels was observed in the CKD group. Moreover, there were no associations between serum homocysteine levels and metformin administration.

Conclusions
The relationship between metformin treatment and serum zinc levels differed based on the presence or absence of CKD in patients with T2DM.
Using Avoidant Emotion-Focused Coping and being a Woman with Adverse Childhood Experiences as the Worst-Case Scenario for Internalising Problems
Authors: Gomis-Pomares Aitana , Lacomba-Trejo Laura , Villanueva Lidón 
Published: February 2025

Abstract
Adverse childhood experiences (ACEs) bring an increased risk for the development of internalising outcomes. Nevertheless, how the cumulative effect of ACEs combines with other variables, such as coping strategies, to give rise to internalising problems has been little studied so far. Therefore, the current study investigates which specific combinations of total ACEs, coping strategies, and sociodemographic variables influence depression, anxiety, and stress. To this end, 420 young Spanish adults (63% women) 18–20 years old (mean age = 18.92; SD = 0.77) participated in the study. Participants answered sociodemographic questions and completed the ACEs Questionnaire, the Depression, Anxiety, and Stress Scale, and the Brief Coping Scale. Both fuzzy-set qualitative comparative analysis and regression models suggested that the cumulative impact of ACEs, in combination with avoidant emotion-focused coping, may conduce internalising problems in women. These findings could serve as a basis for interventions aimed at the primary screening of populations more sensitive to the development of internalising problems as well as in the re-education of adaptive coping strategies in those who have suffered ACEs, in order to avoid more severe long-term problems.
Learning automatic part orientation for powder bed fusion of metal from part data
Authors: Wenger Sebastian , Shevchenko Iryna , zur Jacobsmühlen Joschka , Krüger Jörg , Uhlmann Eckart 
Published: February 2025

Abstract
Part orientation is a critical parameter of laser powder bed fusion of metal, as it significantly affects manufacturing cost, production time, and surface quality. Trained/experienced personnel is required to achieve optimum results. Learning implicit part orientation schemes directly from manually prepared parts would enable automatic part orientation selection and support human operators. This study investigates the feasibility of learning part orientation schemes directly from part data. We assume that a dataset of geometries with manually chosen part orientations contains implicit patterns that can be inferred directly from 3D geometries and their features (shape, holes, etc.). Leveraging PointNet architectures, we train models on pre-defined part orientations, which output a 3D rotation for any given geometry. The impact of different formulations of 3D rotation on the training performance is evaluated and a novel z-invariant rotation definition is suggested which achieves high accuracy. The approach is assessed using four synthetic datasets with homogeneous 3D geometries and a combined dataset with mixed geometries. The approach results in an average relative angular error of 0.7° with an average standard deviation of 0.47° across all datasets with distinct geometries. The results on the mixed dataset of all geometries look equally promising with 1.26° and a standard deviation of 1.68°. Regarding the application in laser-based powder bed fusion of metal, the achieved angular error is satisfactory for accurate alignment.
An active learning intervention for in-service teachers: self-determination theory, heutagogy, neuroeducation and the (altered) flipped classroom in practice
Authors: Pretorius Lizélle 
Published: February 2025

Abstract
Teachers often find it challenging to make the necessary mind shift to embrace alternative pedagogies, thereby reinforcing passive learning behaviours through an over-reliance on teacher-centred practices. This familiarity with traditional pedagogy has consequently served as a stumbling block for many educational innovations. Developing a context-specific pedagogical intervention that is (i) grounded in contemporary educational theory and (ii) can readily be implemented by everyday in-service teachers is imperative to escape the passive learning landscape. This conceptual paper aims to show how the Altered Flipped Classroom Pedagogy (AFCP) was developed to support in-service teachers with limited resources to explore a more learner-centred approach. The conceptualisation of the AFCP stems from the principles of heutagogy (a theory of learning), Self-determination theory (a macro-theory of motivation), the flipped classroom (an instructional strategy) and the fundamentals of neuroeducation research (an emerging discipline). The interrelation of these four concepts is key to having a better understanding of the importance of learner-centred pedagogies for 21st-century learning. The framework also sheds light on the internal properties necessary to actuate learners’ self-determined behaviours, which in turn combats the passive learning phenomenon and empowers them for future learning paths.