bluuebunny/crossref_metadata_2025_split huggingface dataset:
An examination of the association between mindfulness and compassion for others in psychotherapists: A mediating role of self‐compassion
Authors: Lalor John , Khoshfetrat Ali 
Published: December 2023

AbstractObjectivesMindfulness, self‐compassion and compassion for others are often studied among clients seeking psychotherapy. Psychotherapists are also at risk of developing psychological difficulties given that the profession is demanding and can put psychological and emotional pressures on therapists. The aim of this study was to examine (a) the relationship between mindfulness, self‐compassion and compassion for others and (b) whether self‐compassion will mediate the effects of mindfulness on compassion for others.MethodThis was a cross‐sectional study conducted among a sample of 152 psychotherapists registered with the Irish Association for Counselling and Psychotherapy in Ireland.ResultsOur analysis found a significant relationship between mindfulness, self‐compassion and compassion for others. Mediation analysis showed that the indirect effects of mindfulness on compassion for others was through self‐compassion. We entered age and gender into our model, but they had no impact on the mediated relationship.ConclusionFindings from this study provide preliminary support for a proposed sequential model, suggesting that mindfulness enhances self‐compassion, which, in turn, can improve compassion for others. Psychotherapists and psychotherapy bodies are recommended to utilise strategies that can improve psychotherapists' mindfulness skills, such as the mindfulness self‐compassion programme and compassion‐focussed therapy, and their capacity for self‐compassion, which can contribute to their ability to develop compassion for the client. Given the limitations of the design of the study, future longitudinal research will enable us to document the directionality of the effects.
Effect of Chloramphenicol as Antibiotic on the Structure and Function of Pepsin and Its Mechanism of Action
Authors: Wang Xiaoxia , Sun Jisheng , Nie Zhihua , Ma Litong , Sai Huazheng , Cheng Jianguo , Liu Yunying , Duan Jianguo 
Published: December 2023

AbstractThe interaction between chloramphenicol (CHL) and pepsin (PEP), as well as the impact of CHL on PEP conformation, were investigated using spectroscopic techniques and molecular docking simulations in this study. The experimental results demonstrate that CHL exhibits a static quenching effect on PEP. The thermodynamic parameters indicate that the reaction between CHL and PEP is spontaneous, primarily driven by hydrogen bonding and van der Waals forces. Moreover, the binding distance of r<7 nm suggests the occurrence of Förster's non‐radiative energy transfer between these two molecules. In the synchronous fluorescence spectrum, the maximum fluorescence intensity of PEP produced a redshift phenomenon, indicating that CHL was bound to tryptophan residues of PEP. The addition of CHL induces changes in the secondary structure of PEP, as confirmed by the observed alterations in peak values in three‐dimensional fluorescence spectra. The UV spectra reveal a redshift of 3 nm in the maximum absorption peak, indicating a conformational change in the secondary structure of PEP upon addition of CHL. Circular dichroism analysis demonstrates significant alterations in the α‐helix, β‐sheet, β‐turn, and random coil contents of PEP before and after CHL incorporation, further confirming its ability to modulate the secondary structure of PEP.
Aktuelle Fragestellungen beim leitungsgebundenen Transport von Wasserstoff
Authors: Graf Frank , Isik Volkan , Heneka Maximilian , Köppel Wolfgang , Kolb Thomas , Fleer Ann-Christin , Verbücheln René Werner 
Published: December 2023

AbstractAls speicherbarer chemischer Energieträger wird Wasserstoff eine wichtige Rolle bei der Energiewende spielen. Um die erwarteten Bedarfe in Europa und Deutschland bereitstellen zu können, wird eine leistungsstarke europaweite Transportinfrastruktur benötigt. Existierende Erdgastransportnetze können auf den Betrieb mit Wasserstoff umgestellt werden. Die notwendigen technischen und betrieblichen Anpassungen sind Gegenstand von umfangreichen Forschungs‐, Entwicklungs‐ und Demonstrationsvorhaben. Bis 2030 soll in Europa ein Netz mit einer Gesamtlänge von 33 000 km entstehen. In Deutschland sind 9700 km Wasserstofftransportleitungen bis 2032 vorgesehen.
P4toNFV: Offloading from P4 switches to NFV in programmable data planes
Authors: Pekar Adrian , Makara Laszlo A. , Lai Yuan‐Cheng , Lin Ying‐Dar , Seah Winston 
Published: December 2023

SummaryP4 combines the benefits of hardware‐based networking with the adaptability of software‐based network operations. However, when faced with intricate network functions, P4 switches reveal constraints in memory and processing primitives. To address these, we advocate offloading traffic demanding intricate processing from the programmable data plane to network function virtualization (NFV). By leveraging this approach, P4 switches handle the core data plane, ensuring maximum performance, whereas virtualized network functions (VNF) cater to the intricate processing. Central to our research is the optimization of this offloading process, specifically considering delay constraints. We developed an analytical model that examines a P4 switch overseen by an SDN controller, integrating an offloading capability to NFV. The principal objective was to determine an offloading rate that minimizes packet processing delay. To this end, we employed a Bounded method, an advancement from Brent's method, to determine this optimal rate. The findings indicate that offloading approximately 66% of packets to the VNF achieves the lowest total delay, registering at 0.1505  s. This strategy of optimal offloading can notably reduce the system's average delay as the demand for network functions increases. The optimization technique we adopted exhibited rapid convergence in our experiments, reflecting the method's efficacy. Furthermore, a rigorous parametric sensitivity analysis spanning no offloading, full offloading, and optimal offloading strategies underscores that optimal offloading to NFV consistently augments system performance, particularly in terms of delay reduction. Conclusively, our study furnishes valuable insights into offloading strategies, augmenting the narrative on resource allocation in both PNFs and VNFs.
Nest observations reveal hygienic nest architecture and behavior in an Arctic bumble bee species
Authors: Valdes Leah , Scofield Hailey 
Published: December 2023

AbstractMany bumble bee species are declining worldwide. Disease and habitat loss are two contributors to these declines, yet little is known about disease transmission within bumble bee colonies or bumble bee nesting habitat requirements. These gaps are especially wide for Arctic species, as prior bumble bee research focuses disproportionately on the contiguous United States, southern Canada, and Europe. Here, we describe the nesting habitat, spatial distribution, and nest architecture of 10 frigid bumble bee (Bombus frigidus) nests found in the low Arctic in western Alaska. In these nests, we observed a novel nest architecture, the “outhouse,” that consisted of an additional subterranean cavity containing concentrated fecal materials and observed that the bees continued to defecate in one or a few locations outside of the main nest cavity when transplanted to the laboratory. Finally, we measured fecal‐borne trypanosome parasites in frigid bumble bee workers in this region. Together, our findings provide natural history information on this Arctic bee species and suggest that the outhouse architecture could function as a social immunity trait to reduce the transmission of fecal‐borne pathogens within the nest.
Prognostic value of gut microbe‐generated metabolite phenylacetylglutamine in patients with heart failure
Authors: Tang W.H. Wilson , Nemet Ina , Li Xinmin S. , Wu Yuping , Haghikia Arash , Witkowski Marco , Koeth Robert A. , Demuth Ilja , König Maximilian , Steinhagen‐Thiessen Elisabeth , Bäckhed Fredrik , Fischbach Michael A. , Deb Arjun , Landmesser Ulf , Hazen Stanley L. 
Published: December 2023

ABSTRACTAimPhenylacetylglutamine (PAGln) is a phenylalanine‐derived metabolite produced by gut microbiota with mechanistic links to heart failure (HF)‐relevant phenotypes. We sought to investigate the prognostic value of PAGln in patients with stable HF.Methods and resultsFasting plasma PAGln levels were measured by stable‐isotope‐dilution liquid chromatography–tandem mass spectrometry (LC‐MS/MS) in patients with stable HF from two large cohorts. All‐cause mortality was assessed at 5‐year follow‐up in the Cleveland cohort, and HF, hospitalization, or mortality were assessed at 3‐year follow‐up in the Berlin cohort. Within the Cleveland cohort, median PAGln levels were 4.2 (interquartile range [IQR] 2.4–6.9) μM. Highest quartile of PAGln was associated with 3.09‐fold increased mortality risk compared to lowest quartile. Following adjustments for traditional risk factors, as well as race, estimated glomerular filtration rate, amino‐terminal pro‐B‐type natriuretic peptide, high‐sensitivity C‐reactive protein, left ventricular ejection fraction, ischaemic aetiology, and HF drug treatment, elevated PAGln levels remained predictive of 5‐year mortality in quartile comparisons (adjusted hazard ratio [HR] [95% confidence interval, CI] for Q4 vs Q1: 1.64 [1.07–2.53]). In the Berlin cohort, a similar distribution of PAGln levels was observed (median 3.2 [IQR 2.0–4.8] μM), and PAGln levels were associated with a 1.92‐fold increase in 3‐year HF hospitalization or all‐cause mortality risk (adjusted HR [95% CI] for Q4 vs Q1: 1.92 [1.02‐3.61]). Prognostic value of PAGln appears to be independent of trimethylamine N‐oxide levels.ConclusionHigh levels of PAGln are associated with adverse outcomes independent of traditional cardiac risk factors and cardio‐renal risk markers.
Efficacy and Safety of adjunctive Perampanel in a prospective, real‐world, Phase IV study in Indian patients aged ≥12 years for Treatment of focal‐onset Epilepsy: Study 508
Authors: Ravat Sangeeta , Rohatgi Anshu , Kulkarni Rahul , Jabeen Shaik A. , Patil Balaji , Dash Amitabh , Malhotra Manoj 
Published: December 2023

AbstractObjectiveESPRITE (Study 508; NCT03836924) evaluated the real‐world safety, tolerability, and efficacy of adjunctive perampanel in patients aged ≥12 years with focal‐onset seizures (FOS), with or without focal to bilateral tonic–clonic seizures (FBTCS), in India.MethodsESPRITE was a prospective, multicenter, single‐arm, observational, Phase IV study with a 6‐month Treatment Period. Patients were aged ≥12 years and had been prescribed perampanel for adjunctive treatment of FOS, with or without FBTCS. Assessments included incidence of treatment‐emergent adverse events (TEAEs; primary endpoint), median percent reduction in seizure frequency per 28 days from baseline, 50% responder rates, and seizure‐freedom rates.ResultsOverall, 200 patients were enrolled (199 patients in the Safety Analysis Set and 174 patients who completed all visits in the main efficacy analyses). TEAEs (all mild or moderate in severity) were reported in 18.1% (n = 36/199) of patients (the most common were dizziness [3.0%] and irritability [2.0%]). TEAEs leading to discontinuation of perampanel were reported in 2.0% of patients; no deaths or serious TEAEs occurred. At 6 months, median percent reduction in seizure frequency was 100.0%, 50% responder rate was 83.3%, and seizure‐freedom rate was 49.4%.SignificanceAdjunctive perampanel (at a mean daily dose of 4 mg/day) was shown to be well tolerated and effective in patients aged ≥12 years with FOS, with or without FBTCS, from India.Plain Language SummaryMany patients do not receive adequate treatment for epilepsy and need effective seizure control medications. In this 6‐month clinical study, 199 patients from India, aged 12 years or older, added perampanel to the anti‐seizure medications they were already taking. At 6 months, 49% of patients experienced no seizures since starting perampanel and seizure frequency was reduced by half in 83% of patients. Side effects occurred in 18% of patients (most commonly dizziness and irritability) and caused 2% to stop perampanel; no deaths were reported. Perampanel was an effective and generally safe added medication for patients with epilepsy from India.
Risk‐targeted fragility functions considering a system performance requirement and domino effects
Authors: Celano Francesca , Dolšek Matjaž 
Published: December 2023

AbstractThe design of structures depends on the performance requirements that are usually defined through structural codes for single units. This approach may not be optimal because major earthquakes affect the built environment and can also trigger domino effects due to fires, explosions or toxic dispersion. To overcome this issue, we introduce a probabilistic framework for defining unit performance requirements by means of risk‐targeted fragility functions that account for potential domino effects and an overall system performance requirement. The system performance requirement is demonstrated by the potential loss of life, which represents the tolerated number of fatalities per year expected in the earthquake‐affected area. The proposed framework decomposes the problem into a damage‐based fatality analysis, population analysis and seismic hazard analysis, which can be performed and improved independently by engineers with the relevant expertise. The damage‐based fatality analysis includes a series of Monte Carlo simulations using logic trees to account for domino effects. These analyses are then coupled with an iterative risk estimation aimed at identifying the critical units in a system and estimating their risk‐targeted fragility functions, which can then be used for the design of a single unit. The methodology is demonstrated by estimating the potential loss of life due to a seismic event in an urban industrial area. It is shown that the risk‐targeted fragility functions of hazardous storage tanks can be estimated in a few iterations based on disaggregating the potential loss of life. The pilot research presented in the paper provides new possibilities for defining seismic design parameters of structures.
Feature selection of ground motion intensity measures for data‐driven surrogate modeling of structures
Authors: Ding Jia‐Yi , Feng De‐Cheng 
Published: December 2023

AbstractIn the probabilistic seismic performance assessment of structures, intensity measures (IMs) represent seismic characteristics and variations. Traditional fragility analysis method based on the assumption of linear regression requires selecting an optimal IM as input variable. By introducing machine learning (ML) techniques, nonparametric fragility analysis theoretically allows for considering all potential IMs as inputs. Nevertheless, to reduce input dimensionality and improve training efficiency, the feature selection of IMs remains imperative. This paper proposes a method to select optimal ground motion IMs for data‐driven surrogate modeling of structures. Specifically, the elastic net algorithm is employed to select the optimal multiple IMs based on the coefficient of determination and regression coefficient, differing from the efficiency and practicality emphasized in the traditional method. Using the optimal multiple IMs as input variables, several ML techniques are employed to construct surrogate models for seismic damage assessment of structures, thereby developing fragility functions, that is, the conditional probability of exceeding a damaged state given seismic intensity. A 3‐span, 6‐storey, reinforced concrete frame is utilized to illustrate the proposed methodology. The predictive performance of all ML models with the optimal multiple IMs outperforms that of the models with the commonly used IM (e.g., peak ground acceleration,PGA) as sole input and all candidate IMs as inputs. Additionally, the surrogate models with the optimal multiple IMs enable a more comprehensive seismic fragility modeling of structures under two or more IMs simultaneously, such as the fragility surface under spectral acceleration at 1.0s (Sa‐1.0s) and velocity spectrum intensity (VSI).
An intelligent human‐centric systems to diagnose breast cancer using machine learning and optimized feature selection techniques
Authors: Kumar Ashok , Singh Saurabh , Mahadev  , Kumar Rahul 
Published: December 2023

AbstractAll over the world, breast cancer (BC) is the leading cause of cancer mortality among women. Computer‐aided methods can assist in early diagnosis. The proposed approach used SMOTE filter with Ch2 test techniques for class balance and feature section using eight different ML models Gaussian Naive Bayes (GNB), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM) with Linear and Radial Basis Function (RBF), Logistic Regression (LR), K‐nearest neighbor (KNN) and eXtreme Gradient Boosting (XGBoost). A Ch2 test determines the top five features—glucose, HOMA, resistin, BMI, and insulin. Metrics such as accuracy, precision, recall, and F1‐Score are used to compare the performance of models. More than 99% accuracy was achieved by the proposed XGBoost model. Compared to the other breast cancer prediction models, the proposed model had an average accuracy improvement of 9.30%. As a result of our proposed model, breast cancer diagnosis will be more efficient based on risk factors. The proposed prediction model can also predict various breast cancer features. In addition to improving diagnostic decision‐support systems, the proposed model should be able to predict breast cancer disease accurately.
Pharmacy and nursing students' stigma and perceptions toward individuals with mental illness impacted through interaction with a website featuring lived experiences
Authors: Yang Rose , Long Audrey , McDaniel Becky , Orr Megan , Skoy Elizabeth , Werremeyer Amy 
Published: December 2023

AbstractIntroductionDespite its high prevalence and negative impact, mental illness is often sub‐optimally treated, in part, due to stigma among health care professionals. Future health care professionals are at the forefront of a potential solution for the provision of stigma‐free, equitable mental health care. Innovative approaches to reducing the stigma toward individuals with mental illness are needed. One approach is utilization of the SNAP the Stigma website (www.snapthestigma.com), a collection of photos and reflections by individuals with lived experiences with mental illness.ObjectiveThis study was conducted to address the question: Does interacting with the SNAP the Stigma website impact pharmacy and nursing students' perceptions and social distance preference toward an individual with mental illness?MethodsA pre‐ and post‐survey employed the Bogardus social distance scale (SDS) to assess stigma toward a vignette individual before and after website interaction. In the post‐survey, participants reflected on one or more posts from the website that impacted them. A qualitative analysis was performed to identify themes from the responses.ResultsA statistically significant reduction in total SDS scores occurred as a result of interaction with SNAP. Three themes were derived including symbolism of mental illness, increased empathy/reduced stereotyping, and lessons regarding what a health care professional can do and offer.ConclusionThese findings suggest that use of the SNAP website as a stigma‐reduction intervention could be a valuable tool for current and future health care professionals to decrease stigma toward those with mental illness and to build intentionality toward empathic and non‐discriminatory behavior in health care practice.
Coupling finite and boundary element methods to solve the Poisson–Boltzmann equation for electrostatics in molecular solvation
Authors: Bosy Michał , Scroggs Matthew W. , Betcke Timo , Burman Erik , Cooper Christopher D. 
Published: December 2023

AbstractThe Poisson–Boltzmann equation is widely used to model electrostatics in molecular systems. Available software packages solve it using finite difference, finite element, and boundary element methods, where the latter is attractive due to the accurate representation of the molecular surface and partial charges, and exact enforcement of the boundary conditions at infinity. However, the boundary element method is limited to linear equations and piecewise constant variations of the material properties. In this work, we present a scheme that couples finite and boundary elements for the linearised Poisson–Boltzmann equation, where the finite element method is applied in a confined solute region and the boundary element method in the external solvent region. As a proof‐of‐concept exercise, we use the simplest methods available: Johnson–Nédélec coupling with mass matrix and diagonal preconditioning, implemented using the Bempp‐cl and FEniCSx libraries via their Python interfaces. We showcase our implementation by computing the polar component of the solvation free energy of a set of molecules using a constant and a Gaussian‐varying permittivity. As validation, we compare against well‐established finite difference solvers for an extensive binding energy data set, and with the finite difference code APBS (to 0.5%) for Gaussian permittivities. We also show scaling results from protein G B1 (955 atoms) up to immunoglobulin G (20,148 atoms). For small problems, the coupled method was efficient, outperforming a purely boundary integral approach. For Gaussian‐varying permittivities, which are beyond the applicability of boundary elements alone, we were able to run medium to large‐sized problems on a single workstation. The development of better preconditioning techniques and the use of distributed memory parallelism for larger systems remains an area for future work. We hope this work will serve as inspiration for future developments that consider space‐varying field parameters, and mixed linear‐nonlinear schemes for molecular electrostatics with implicit solvent models.
Assessing burnout among early career faculty in US dental schools
Authors: Henry Aisha D. , Salter Reginald O. , Young Daniel L. , Leavell Jacinta 
Published: December 2023

AbstractBackgroundBurnout is a condition characterized by emotional exhaustion, low personal accomplishment, and feelings of depersonalization that may evolve as a result of chronic occupational stress. Our goal for the study was to measure the degree of burnout among US dental school faculty with less than 10 years in academia.Materials and methodsA mixed method approach to data collection was utilized for the study and included:A. A 15‐items demographics surveyB. Maslach Burnout Inventory (MBI) combined with the Area‐Work life Scale (AWS)C. A survey open‐ended response to respondent's general feelings about work environment.ResultsMBI results from the data collected from 52 respondents indicate 7 or 13.46% of respondents are categorized with a ‘burnout’ profile. The most abundant categories recognized among this group are feelings of being “overextended” (34.62%) while 32.69% of the respondents self‐report signs of being engaged. The results from this population indicate higher emotional exhaustion while levels of depersonalization are lower. The Area‐Work life Scale (AWS) for this group indicates a higher sense of reward and control, while a lower frequency of workload balance and fairness are recognized. The data collected from the sample population suggest increased higher feelings of burnout at the 9‐year mark, with increased administrative duties, and age range over 44 years.ConclusionIdentifying factors in workload, work environment, and influences in the home that lead to burnout early in a faculty member's tenure and introducing reduction mechanisms are key to enhancing faculty production, satisfaction, and retention.