bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of vascular margin invasion on local recurrence after pancreatoduodenectomy in pancreatic adenocarcinoma
Authors: López Julio Cuesta , Ielpo Benedetto , Iglesias Mar , Pinilla Fernando Burdío , Sánchez-Velázquez Patricia 
Published: April 2024

Abstract
Purpose
Pancreatic ductal adenocarcinoma (PADC) still has nowadays a very impaired long-term survival. Most studies are focused on overall survival; however, local recurrence occurs about up to 50% of cases and seems to be highly related with margin resection status. We aim to analyze the impact of vascular resection margins on local recurrence (LR) and to assess its impact on overall and disease-free survival.

Methods
Eighty out of 191 patients who underwent pancreatoduodenectomy in a university hospital between 2006 and 2021 with PDAC diagnosis were analyzed and vascular margin status specifically addressed. Univariate and multivariate were performed. Time to LR was compared by using the Kaplan–Meier method and prognostic factors assessed using Cox regression hazards model.

Results
LR appeared in 10 (50%) of the overall R1 resections in the venous margin and 9 (60%) in the arterial one. Time to LR was significantly shorter when any margin was overall affected (23.2 vs 44.7 months, p = 0.01) and specifically in the arterial margin involvement (13.7 vs 32.1 months, p = 0.009). Overall R1 resections (HR 2.61, p = 0.013) and a positive arterial margin (HR 2.84, p = 0.012) were associated with local recurrence on univariate analysis, whereas arterial positive margin remained significant on multivariate analysis (HR 2.70, p = 0.031).

Conclusions
Arterial margin invasion is correlated in our cohort with local recurrence. Given the limited ability to modify this margin intraoperatively, preoperative therapies should be considered to improve local margin clearance.
Effect of an intravenous acetaminophen/ibuprofen fixed-dose combination on postoperative opioid consumption and pain after video-assisted thoracic surgery: a double-blind randomized controlled trial
Authors: Lee Ho-Jin , Choi Seungeun , Yoon Soohyuk , Yoon Susie , Bahk Jae-Hyon 
Published: April 2024

Abstract
Background
Video-assisted thoracoscopic surgery (VATS) often induces significant postoperative pain, potentially leading to chronic pain and decreased quality of life. This study aimed to evaluate the acetaminophen/ibuprofen combination effectiveness in reducing analgesic requirements and pain intensity in patients undergoing VATS.

Study design
This is a double-blinded randomized controlled trial.

Methods
Adult patients scheduled for elective VATS for lung resection were randomized to receive either intravenous acetaminophen and ibuprofen (intervention group) or 100 mL normal saline (control group). Treatments were administered post-anesthesia induction and every 6 h for three cycles. The primary outcome was total analgesic consumption at 24 h postoperatively. Secondary outcomes were cumulative analgesic consumption at 2 and 48 h; analgesic-related side effects at 2, 24, and 48 h; quality of recovery at 24 h and 48 h postoperatively; pain intensity at rest and during coughing; and rescue analgesics use. Chronic postsurgical pain (CPSP) was assessed through telephone interviews 3 months postoperatively.

Results
The study included 96 participants. The intervention group showed significantly lower analgesic consumption at 24 h and 48 h postoperatively (24 h: median difference: − 100 µg equivalent intravenous fentanyl [95% confidence interval (CI) − 200 to − 5 μg], P = 0.037; 48 h: median difference: − 140 μg [95% CI − 320 to − 20 μg], P = 0.035). Compared to the controls, the intervention group exhibited a significantly lower quality of recovery 24 h post-surgery, with no significant difference at 48 h. All pain scores except for coughing at 48 h post-surgery were significantly lower in the intervention group compared to the controls. No significant differences were observed between the groups in postoperative nausea and vomiting occurrence, hospital stay length, and CPSP.

Conclusion
Perioperative administration of acetaminophen/ibuprofen significantly decreased analgesic needs in patients undergoing VATS, providing an effective postoperative pain management strategy, and potentially minimizing the need for stronger analgesics.
A new approach for hydrograph data interpolation and outlier removal for vector autoregressive modelling: a case study from the Odra/Oder River
Authors: Halicki Michał , Niedzielski Tomasz 
Published: April 2024

AbstractThis study presents a new approach for predicting water levels of the Odra/Oder river using vector autoregressive models (VAR). We use water level time series from 27 gauging stations, on which we interpolate no-data gaps using the LinAR method and detect outliers with two separate methods: the extreme values (EV) approach and the isolation forest (IFO) algorithm. Before removing potential outliers, we propose a hydrological evaluation based on multivariate data analysis. Finally, we consider three separate data scenarios, i.e. LinAR (no outlier rejection), EV, and IFO. VAR models for six prediction gauges were built in a moving window manner on the most recent 720 hourly water levels prior to each prediction. The analysis covered the time range from January 2016 to May 2022 and resulted in $$\varvec{\approx }$$

≈

1,000,000 water level forecasts (3 scenarios x 6 gauges x 55,000 hourly time steps) with lead time of 72 h. The analysis of root mean squared error (RMSE) indicates that the VAR model performs well, especially for 24-hour predictions, with RMSE values ranging from 8 to 28 cm. The model was also found to have skills in predicting a rising limb of a hydrograph. Our numerical experiments showed the susceptibility of the VAR predictions to artefacts. The IFO method was found to detect outliers skilfully, which allowed to produce the most accurate VAR-based predictions.
Unclassified acetabular fractures: Do they really exist?
Authors: Abdelnasser Mohammad Kamal , Ibrahim Bahaaeldin , Thabet Mostafa A. , Fergani Ali , Badran Mahmoud , Farouk Osama 
Published: April 2024

Abstract
Purpose
Although Letournel classification is considered the corner stone for classifying acetabular fractures, however, it might not be perfectly inclusive. Unclassified fractures were reported by many authors. The aim of this case series is to report the incidence of unclassified acetabular fractures and description of these rare patterns and why they are considered unclassified acetabular fractures.

Methods
This is a retrospective consecutive case series. In the period between 1st January 2016 and 31st December 2017, 235 patients with 236 acetabular fractures were identified from our hospital records. Classification of the acetabular fractures according to Letournel was done by two surgeons. Any discrepancy in the classification between the two surgeons was resolved by the senior author. Before considering the fracture unclassifiable, all fractures were reviewed again by the two surgeon and the senior author.

Results
In the period between 1st January 2016 and 31st December 2017, 235 patients with 236 acetabular fractures were included in our study. Twenty-two fractures (9.3%) did not fit into any of the fracture types according to Letournel Classification as follows: 1 case (4.5%) was pure Quadrilateral plate fracture, 1 case (4.5%) was labral avulsion with tiny posterior wall rim, 1 case (4.5%) was pure articular impaction, 1 case (4.5%) was both columns fracture with posterior wall, 4 cases (18.2%) were anterior column and quadrilateral plate fracture, and 14 cases (63.8%) were T with posterior wall.

Conclusion
Several acetabular fracture pattern could be considered unclassified fractures. These unique patterns may require special approaches or special fixation methods. However, this is not a call for a new classification for acetabular classification to include these new types. Subclassification or adding modifiers to Letournel classification can do the job.
Examples and Counterexamples of Renormalizability of an EFT in the Nonperturbative Regime
Authors: Gasparyan A. M. , Epelbaum E. , Jacobi N. , Komissarova Y. 
Published: April 2024

AbstractAn important feature of an effective field theory is its renormalizability, which implies that one can apply a certain power counting to renormalized quantities and perform a systematic expansion of the calculated observables in terms of some small parameter. When nonperturbative effects become relevant, the requirement of renormalizability imposes nontrivial constraints on a choice of the effective interaction and the renormalization scheme. We discuss several instructive examples and counterexamples of renormalizability to illustrate potential issues one has to deal with in realistic calculations such as nuclear chiral effective field theory.
How to solve novel problems: the role of associative learning in problem-solving performance in wild great tits Parus major
Authors: Cauchard Laure , Bize Pierre , Doligez Blandine 
Published: April 2024

Abstract
Although problem-solving tasks are frequently used to assess innovative ability, the extent to which problem-solving performance reflects variation in cognitive skills has been rarely formally investigated. Using wild breeding great tits facing a new non-food motivated problem-solving task, we investigated the role of associative learning in finding the solution, compared to multiple other non-cognitive factors. We first examined the role of accuracy (the proportion of contacts made with the opening part of a string-pulling task), neophobia, exploration, activity, age, sex, body condition and participation time on the ability to solve the task. To highlight the effect of associative learning, we then compared accuracy between solvers and non-solvers, before and after the first cue to the solution (i.e., the first time they pulled the string opening the door). We finally compared accuracy over consecutive entrances for solvers. Using 884 observations from 788 great tits tested from 2010 to 2015, we showed that, prior to initial successful entrance, solvers were more accurate and more explorative than non-solvers, and that females were more likely to solve the task than males. The accuracy of solvers, but not of non-solvers, increased significantly after they had the opportunity to associate string pulling with the movement of the door, giving them a first cue to the task solution. The accuracy of solvers also increased over successive entrances. Our results demonstrate that variations in problem-solving performance primarily reflect inherent individual differences in associative learning, and are also to a lesser extent shaped by sex and exploratory behaviour.
Cognitive assessment during the phases of a spontaneous migraine: a prospective cohort study
Authors: Ray Jason C. , Darby David , Butzkueven Helmut , Matharu Manjit S. , Hutton Elspeth J. 
Published: April 2024

Abstract
Introduction
Cognitive symptoms are reported commonly throughout all phases of a migraine; however, there is a paucity of objective cognitive profiling. Previous studies have been limited by practice effect, and variable populations.

Methods
Participants completed 1 month of daily testing with a computerised cognitive battery involving a simple reaction (SRT), choice reaction (CRT) and a working memory test (WM). Results were correlated with their diary to identify interictal scores, and scores during each phase of a migraine, and non-migraine headache days.

Results
A total of 16 patients with episodic migraine participated. During the headache phase of a migraine, responses to SRT, CRT and WM tasks were significantly slower and less accurate than interictally. During the postdrome, WM task performance was slower and less accurate. Non-migraine headache days were not associated with significant change.

Conclusion
The headache and postdromal phase of a migraine day was associated with objective evidence of cognitive dysfunction in patients with episodic migraine.
Vertex-primitive digraphs with large fixity
Authors: Barbieri Marco , Potočnik Primož 
Published: April 2024

AbstractThe relative fixity of a digraph $$\Gamma $$
Γ
is defined as the ratio between the largest number of vertices fixed by a nontrivial automorphism of $$\Gamma $$
Γ
and the number of vertices of $$\Gamma $$
Γ
. We characterize the vertex-primitive digraphs whose relative fixity is at least $$\frac{1}{3}$$

1
3

, and we show that there are only finitely many vertex-primitive digraphs of bounded out-valency and relative fixity exceeding a positive constant.
Steady States of a Diffusive Population-Toxicant Model with Negative Toxicant-Taxis
Authors: Chu Jiawei 
Published: April 2024

AbstractThis paper is dedicated to studying the steady state problem of a population-toxicant model with negative toxicant-taxis, subject to homogeneous Neumann boundary conditions. The model captures the phenomenon in which the population migrates away from regions with high toxicant density towards areas with lower toxicant concentration. This paper establishes sufficient conditions for the non-existence and existence of non-constant positive steady state solutions. The results indicate that in the case of a small toxicant input rate, a strong toxicant-taxis mechanism promotes population persistence and engenders spatially heterogeneous coexistence (see, Theorem 2.3). Moreover, when the toxicant input rate is relatively high, the results unequivocally demonstrate that the combination of a strong toxicant-taxis mechanism and a high natural growth rate of the population fosters population persistence, which is also characterized by spatial heterogeneity (see, Theorem 2.4).
The Effects of Heart Rhythm Meditation on Vagal Tone and Well-being: A Mixed Methods Research Study
Authors: Tisdell Elizabeth J. , Lukic Branka , Banerjee Ruhi , Liao Duanping , Palmer Charles 
Published: April 2024

AbstractMany studies have examined the effects of meditation practice focused on the normal breath on vagal tone with mixed results. Heart Rhythm Meditation (HRM) is a unique meditation form that engages in the deep slow full breath, and puts the focus of attention on the heart. This form of breathing likely stimulates the vagus nerve with greater intensity. The purpose of this study was (a) to examine how the practice of HRM affects vagal activity as measured by heart rate variability (HRV); and (b) to examine how it affects participants’ well-being. 74 participants signed consent agreeing to: (a) take a six-week course to learn the practice of HRM; (b) engage in a daily practice for 10 weeks; (c) have their heart rate variability read through ECG technology and to take two validated well-being instruments at the beginning and end of the 10 weeks; and (d) participate in a focus group interview examining their perceptions of how the practice affected their well-being. 48 participants completed the study. Quantitative findings show the effect of the practice of HRM approached significance for multiple measures of HRV and vagal tone. An increase in well-being scores for those who did the meditation more than 10-minutes per day did meet statistical significance. Qualitative data indicate: (a) the positive effects of HRM on stress and well-being; (b) the development of a more expanded sense of self; and (c) an increased awareness of the interconnection of the body-heart-emotions and HRM’s role in emotion regulation.
Fuse and fracture? The janus face of proactive personality in ostracism
Authors: Zhang Ruixue , Gong Yaping , Li Anran , Zhou Mingjian 
Published: April 2024

AbstractDespite the well identified personality-related factors that drive ostracism, the dual role that a proactive personality plays in influencing ostracism has received little scholarly attention. Drawing on social exchange and social comparison theories, we develop a social relational model of peers’ reactions to a focal proactive member. Findings reveal that a focal member’s proactive personality not only enhances peers’ cognition-based trust in the focal person, but also triggers peers’ feeling of relative deprivation. The peers’ cognition-based trust, in turn, weakens—whereas the feeling of relative deprivation strengthens—peers’ ostracism of the focal proactive member. The focal member’s prosocial motive and proself motive further moderate these relationships. Specifically, prosocial motive strengthens the negative indirect relationship between a focal person’s proactive personality and peers’ ostracism through peers’ cognition-based trust in the focal person. Moreover, proself motive amplifies the positive indirect relationship between a focal person’s proactive personality and peers’ ostracism through peers’ feeling of relative deprivation.
Automated quantum software engineering
Authors: Sarkar Aritra 
Published: April 2024

AbstractAs bigger quantum processors with hundreds of qubits become increasingly available, the potential for quantum computing to solve problems intractable for classical computers is becoming more tangible. Designing efficient quantum algorithms and software in tandem is key to achieving quantum advantage. Quantum software engineering is challenging due to the unique counterintuitive nature of quantum logic. Moreover, with larger quantum systems, traditional programming using quantum assembly language and qubit-level reasoning is becoming infeasible. Automated Quantum Software Engineering (AQSE) can help to reduce the barrier to entry, speed up development, reduce errors, and improve the efficiency of quantum software. This article elucidates the motivation to research AQSE (why), a precise description of such a framework (what), and reflections on components that are required for implementing it (how).
Identifying Adolescents at Risk for Emotional Disorders with Latent Profile Analysis: A Personalized, Transdiagnostic Preventive Intervention
Authors: Piqueras José A. , Falcó Raquel , Rico-Bordera Pilar , Canals Josefa , Espinosa-Fernández Lourdes , Vivas-Fernández Manuel , Garcia-Lopez Luis-Joaquin ,   on behalf of PROCARE team, del Mar Diaz-Castela María , Jimenez-Vázquez David , Parras-Blanca Eva Mª , Morales-Hidalgo Paula , Muela-Martínez Jose A. , Rivera-Riquelme María 
Published: April 2024

AbstractIt can be challenging to assign patients to the appropriate intervention programs, as risk and protective factors for developing emotional disorders are multiple and shared across disorders. This study aimed to provide a theoretical and empirical approach to identify and categorise adolescents into different levels of severity. The risk of developing emotional symptoms was assessed in 1425 Spanish adolescents (M = 14.34, SD = 1.76; 59.9% women). Latent Profile Analysis (LPA) was conducted to identify subgroups based on their emotional symptom severity, risk, and resilience factors. Results revealed four profiles: at low risk (emotionally healthy), moderate risk (for selective interventions), high risk (for indicated interventions), and severe risk (for clinical referral). Older age and especially female gender were predictors of higher risk clusters, and there were differences in the levels of psychopathology and health-related quality of life across clusters. Identification of at-risk adolescents for emotional disorders by means of LPA may contribute to designing personalised and tailored prevention programs that match adolescents’ specific needs.
Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm
Authors: Shanmugam Veeramani , Ling Huo-Chong , Gopal Lenin , Eswaran Sivaraman , Chiong Choo W. R. 
Published: April 2024

AbstractThis article presents a virtual machine placement technique aimed at minimizing power usage in heterogeneous cloud data centers. In this study, an innovative model for minimizing the power usage of a datacenter’s network is provided. The Enriched Discrete Butterfly Optimization method (EDBOA) is used as a meta-heuristic method in order to achieve an effective mapping of virtual machines (VMs) onto physical machines (PMs). The Reverse Order Filling Method (ROFM) was developed as a solution repair technique to meet the requirements of the BOA. It is used to manipulate the solutions in order to identify potential candidates for more optimum solutions. Furthermore, we constructed VM’s that had both Left-Right and Top-Down communication capabilities. Additionally, PM’s with limited capacities in terms of CPU, memory, and bandwidth are designed and included for the purpose of testing. The integration of our network power model into the EDBOA algorithms facilitates the calculation of both power modules and network power consumption. A detailed comparative analysis was conducted on our suggested approaches and many other comparable methods. The evaluation findings demonstrate that the offered approaches exhibit strong performance, with the BOA algorithm using the ROFM solution repair surpassing other methods in terms of power usage. The assessment findings also demonstrate the importance of network power usage.
Hybrid metaheuristic schemes with different configurations and feedback mechanisms for optimal clustering applications
Authors: Molokomme Daisy Nkele , Onumanyi Adeiza James , Abu-Mahfouz Adnan M. 
Published: April 2024

AbstractThis paper addresses the critical gap in the understanding of the effects of various configurations and feedback mechanisms on the performance of hybrid metaheuristics (HMs) in unsupervised clustering applications. Despite the widespread use of HMs due to their ability to leverage multiple optimization methods, the lack of comprehensive studies on their configuration and feedback mechanisms effects often results in sub-optimal clustering performances and premature convergence. To tackle these issues, we introduce two algorithms for implementing eight distinct HM schemes, focusing on the impacts of parallel and serial processing models along with different feedback mechanisms. Our approach involves selecting candidate metaheuristics based on a mix of evolutionary and swarm-based methods, including the k-means algorithm, to form various HM-based clustering schemes. These schemes were then rigorously evaluated across a range of datasets and feedback mechanisms, further assessing their efficiency in the deployment of smart grid base stations. Performance analysis was based on total fitness evaluations, timing capabilities, and clustering accuracy. The results revealed that parallel HMs with decoupled feedback mechanisms performed best in terms of accuracy but at the cost of slower convergence rates as compared to serial HMs. Our findings further suggest that serial HMs will be best suited for time-sensitive applications where a compromise between speed and accuracy is acceptable, while parallel HMs with decoupled feedback mechanisms are preferable for scenarios where precision is paramount. This research significantly contributes to the field by providing a detailed analysis of HM performance in varying conditions, thereby guiding the selection of appropriate HM schemes for specific clustering tasks.