bluuebunny/crossref_metadata_2025_split huggingface dataset:
Graphene nanoribbons: current status, challenges and opportunities
Authors: Lou Shuo , Lyu Bosai , Zhou Xianliang , Shen Peiyue , Chen Jiajun , Shi Zhiwen 
Published: February 2024

AbstractGraphene nanoribbons (GNRs) are narrow strips of graphene with widths ranging from a few nanometers to a few tens of nanometers. GNRs possess most of the excellent properties of graphene, while also exhibiting unique physical characteristics not found in graphene, such as an adjustable band gap and spin-polarized edge states. These properties make GNRs an appealing candidate for carbon-based electronics. In this review, we begin by introducing the edge geometry and electronic bands of GNRs. We then discuss various methods for fabricating GNRs and analyze the characteristics of each method. Subsequently, the performance of GNR field-effect transistor devices obtained from a few representative GNR fabrication methods is discussed and compared. We also investigate the use of GNRs as quantum dots and spintronic devices. Finally, the challenges and opportunities of GNRs as a quantum material for next-generation electronics and spintronics are explored and proposed.
The Impact of the COVID-19 Pandemic on Pre-Hospital Emergency Medical Services: The impact of the Covid-19 pandemic on pre-hospital services
Authors: Çavuş Kadir , Akbulut Meryem , Kaya Afşin A. 
Published: February 2024

Abstract

Background:
The novel coronavirus (COVID-19) disease outbreak started in China and went on to affect the entire world. Healthcare providers were among the communities that faced severe challenges during the pandemic, and this was especially true of Pre-Hospital Emergency Medical Services (PHEMS) providers.

Objectives:
This study aims to investigate the effect of the COVID-19 pandemic on service requests submitted to PHEMS providers via calls made to emergency hotlines.

Methods:
Data were obtained on calls made to 112 (the emergency hotline) during March – August 2020 (i.e., during the pandemic) and the same period the previous year (i.e., the pre-pandemic period). These 2 data sets were analyzed and compared using the SPSS 26 software package (IBM Corp., Armonk, New York, USA).

Results:
The results of the analysis indicated that the total number of emergency calls received during the pandemic period (11 745) increased compared to the pre-pandemic period (10 747), whereas there was a decrease in the proportion of trauma-related emergency calls during the pandemic period (5.3%) compared to the pre-pandemic period (6.8%). Furthermore, there was a higher proportion of extended service times among ambulances serving in PHEMS during the pandemic period (ambulance movements longer than 90 seconds: 15.6%) compared to the pre-pandemic period (ambulance movements longer than 90 seconds: 8.6%). Non-emergency ambulance usage rate was 44.90% in the pre-pandemic period and 38.90% in the pandemic period.

Conclusions:
As the study’s results show that there was an increase in the number of calls to PHEMS during the pandemic period, especially given that a significant portion of these calls consisted of non-emergency calls, it is recommended that measures be taken to reduce the excessive load on PHEMS during a pandemic.
Prevalence of unnecessary antibiotic prescriptions among dental visits, 2019
Authors: Murphy Ashlee M. , Patel Ursula C. , Wilson Geneva M. , Suda Katie J. 
Published: February 2024

AbstractObjective:The US National Action Plan for Combating Antibiotic-Resistant Bacteria established a goal to decrease unnecessary outpatient antibiotic use by 50%. However, data to inform this goal have been limited to medical settings and have not included dental prescribing. Thus, we sought to identify the proportion of antibiotics prescribed inappropriately by dentists to inform outpatient stewardship efforts.Methods:Cross-sectional analysis of 2019 Veterans’ Affairs (VA) national electronic health record data. Antibiotics prescribed by dentists were evaluated for appropriateness based on 2 definitions: one derived from current guidelines (consensus-based recommendations) and the other based on relevant clinical literature (nonconsensus). A clustered binomial logistic regression model determined factors associated with discordant prescribing.Results:In total, 92,224 antibiotic prescriptions (63% amoxicillin; mean supply, 8.0 days) were associated with 88,539 dental visits. Prophylaxis for complications in medically compromised patients was associated with the most (30.9%) antibiotic prescriptions, followed by prevention of postsurgical complications (20.1%) and infective endocarditis (18.0%). At the visit level, 15,476 (17.5%) met the consensus-based definition for appropriate antibiotic usage and 56,946 (64.3%) met the nonconsensus definition.Conclusions:More than half of antibiotics prescribed by dentists do not have guidelines supporting their use. Regardless of definition applied, antibiotics prescribed by dentists were commonly unnecessary. Improving prescribing by dentists is critical to reach the national goal to decrease unnecessary antibiotic use.
Corporate Social Irresponsibility in Business: A Systematic Literature Review and Future Agenda
Authors: Tan Xiaoxia , Wu Xiaojie , Zhong Xi 
Published: February 2024

Abstract
Despite increased interest in corporate social irresponsibility (CSI) among business scholars, the current research is still fragmented, its findings lacking a nuanced understanding. We conduct a systematic literature review of 173 journal articles on CSI published in the field of business and synthesize insights regarding the antecedents, consequences, and mechanisms of CSI. We begin by providing a clear definition, distinct types, and the measurement methods of CSI. Then, we provide a comprehensive research framework that demonstrates the three key components of CSI research: antecedent, consequence, and moderating. Building on this, we identify additional specific research methods for each component and apply them to assess and analyze the existing research findings and research gaps concerning CSI. We suggest that scholars pay more attention to (a) the impact of stakeholders on CSI behavior, (b) the different impacts of CSI on firm performance, (c) the relationship among CSI, corporate social responsibility, and firm performance, (d) CSI in the context of emerging economies, and (e) measuring CSI.
Oscillation-free point-to-point motions of planar differentially flat under-actuated robots: a Laplace transform method
Authors: Tonan Michele , Doria Alberto , Bottin Matteo , Rosati Giulio 
Published: February 2024

AbstractDifferentially flat under-actuated robots are characterized by more degrees of freedom (DOF) than actuators: this makes possible the design of lightweight cheap robots with high dexterity. The main issue of such robots is the control of the passive joint, which requires accurate dynamic modeling of the robot.Friction is usually discarded to simplify the models, especially in the case of low-speed trajectories. However, this simplification leads to oscillations of the end-effector about the final position, which are incompatible with fast and accurate motions.This paper focuses on planar$n$-DOF serial robotic arms with$n-1$actuated rotational joints plus one final passive rotational joint with stiffness and friction properties. These robots, if properly balanced, are differentially flat. When the non-actuated joint can be considered frictionless, differentially flat robots can be controlled in open loop, calculating the motor torques demanded by point-to-point motions. This paper extends the open-loop control to robots with a passive joint with viscous friction adopting a Laplace transform method. This method can be adopted by exploiting the particular structure of the equations of motion of differentially flat under-actuated robots in which the last equations are linear. Analytical expressions of the motor torques are obtained. The work is enriched by an experimental validation of a$2$-DOF under-actuated robot and by numerical simulations of the$2$- and$4$-DOF robots showing the suppression of unwanted oscillations.
Inter-industry trade and business cycle dynamics
Authors: Lechthaler Wolfgang , Mileva Mariya 
Published: February 2024

AbstractMotivated by the increased importance of trade between industrialized and less-developed countries, we build a two-sector dynamic stochastic general equilibrium model featuring inter-industry trade as well as intra-industry trade to analyze the business cycle dynamics of industrialized countries. We find that import-competing sectors are more sensitive to domestic productivity shocks than exporting sectors, due to their stronger reliance on domestic demand. This generates pressure to adjust relative prices and to reallocate factors of production. It also propagates the international spillover effects of productivity shocks leading to stronger business cycle comovement across countries, relative to a traditional business cycle model that does not feature inter-industry trade.
Physics‐Informed Deep Operator Learning Based on Reduced‐Order Modeling for Retrieving the Ocean Interior Density From the Surface
Authors: Chen Yuanhong , Liu Li , Yuan Chunxin , Sun Xiang , Chen Xueen , Wei Zhiqiang , Gao Zhen 
Published: February 2024

AbstractExploring methods to reconstruct the ocean interior from surface data is a crucial focus in the study of ocean processes and phenomena due to the shortage of subsurface and deep‐sea data. Nonetheless, the existing methods predominantly concentrate on either data‐driven or dynamical methodologies, with limited exploration of integrating the strengths of both approaches. To combine the advantages of these two methods for reconstructing the subsurface density field from surface data, a novel dynamics‐constrained deep operator learning network based on reduced‐order model is proposed. Encoding the mean‐squared residuals of the reduced‐order equation along with the mean‐squared error between the network outputs and targets into the loss function effectively merges the dynamical and data constraints during the training process. This integration makes the network outputs and inputs approximately satisfy a specific form of the equation, allowing for interpretability, and once the network is well‐trained, rapid reconstruction evaluation can be performed. The reduced‐order equation is established by the Galerkin projection of quasi‐geostrophic equation onto the low‐dimensional subspace identified via reduced‐basis, which explains the vertical variation of ocean density. The developed model can tackle the challenge of directly measuring subsurface potential vorticity and predicting subsurface density. Evaluation is conducted using simulation data from the Max‐Planck‐Institute ocean model, indicating that it can offer precise estimations, outperforms the purely data‐driven algorithm presented in the paper and the interior plus surface quasi‐geostrophic method, and enables model sharing across different regions.
Empirical Dynamic Modeling Reveals Complexity of Methane Fluxes in a Temperate Salt Marsh
Authors: Hill Andrew C. , Schäfer Karina V. R. , Forbrich Inke , Vargas Rodrigo 
Published: February 2024

AbstractMethane dynamics within salt marshes are complex because vegetation types, temperature, oscillating water levels, and changes in salinity and redox conditions influence CH4 production, consumption, oxidation, and emissions. These non‐linear and complex interactions among variables affect the traditionally expected functional relationships and present challenges for interpreting and developing process‐based models. We employed empirical dynamic modeling (EDM) and convergent cross mapping (CCM) as a novel approach for characterizing seasonal/multiday and diurnal CH4 dynamics by inferring causal variables, lags, and interconnections among multiple biophysical variables within a temperate salt marsh using 5 years of eddy covariance data. EDM/CCM is a nonparametric approach capable of quantifying the coupling between variables while determining time scales where variable interactions are the most relevant. We found that gross primary productivity, tidal creek dissolved oxygen, and temperature were important for seasonal/multiday dynamics (rho = 0.73–0.80), while water level was most important for diurnal dynamics during both the growing and dormancy phenoperiods (rho = 0.72 and 0.56, respectively). Lags for the top‐ranked variables (i.e., gross primary productivity, dissolved oxygen, temperature, water level) occurred between 1 and 5 weeks at the seasonal scale and 1–24 hr at the diurnal scale. The EDM had high prediction capabilities for intra‐/inter‐seasonal patterns and annual CH4 sums but had limitations in representing large, infrequent fluxes. Results highlight the importance of non‐linearity, drivers, lag times, and interconnections among multiple biophysical variables that regulate CH4 fluxes in tidal wetlands. This research introduces a novel approach to examining CH4 fluxes, which will aid in evaluating current paradigms in wetlands and other ecosystems.
Multifactorial prevention program for cardiovascular disease in primary care: hypertension status and effect on mortality
Authors: Kuneinen Susanna M. , Kautiainen Hannu , Ekblad Mikael O. , Korhonen Päivi E. 
Published: February 2024

AbstractThe aim of this study was to investigate if mortality during a 13-year follow-up varied between normotensive subjects, screen-detected hypertensive subjects, and subjects with antihypertensive medication at baseline. A population-based screening and intervention program identified 2659 apparently healthy, middle-aged cardiovascular-risk persons in southwestern Finland. Screen-detected hypertension was verified by home blood pressure measurements. Lifestyle counseling was provided for all participants and preventive medications were started or intensified if needed. All-cause and cardiovascular mortality were obtained from the official statistics. Screen-detected hypertension was diagnosed in 17% of the participants, 51% were normotensive and 32% had antihypertensive medication at baseline. The screen-detected hypertensives had higher mean blood pressure and cholesterol levels than the two other groups. Altogether 289 subjects died during the follow-up, 83 (29%) from cardiovascular disease. Those with screen-detected hypertension had decreased cardiovascular mortality risk compared to the medicated hypertensives [sHR 0.40 (95% CI: 0.19 to 0.88, p = 0.023)], and comparable with that of the normotensives [sHR 0.53 (95% CI: 0.24 to 1.15)]. Newly diagnosed diabetes at baseline was a powerful predictor of cardiovascular mortality [sHR 2.71 (95% CI: 1.57 to 4.69)]. Early detection of hypertension and timely multifactorial intervention seem to be important in preventing hypertension-related mortality.
Right frontal cingulate cortex mediates the effect of prenatal complications on youth internalizing behaviors
Authors: Maggioni Eleonora , Pigoni Alessandro , Fontana Elisa , Delvecchio Giuseppe , Bonivento Carolina , Bianchi Valentina , Mauri Maddalena , Bellina Monica , Girometti Rossano , Agarwal Nivedita , Nobile Maria , Brambilla Paolo 
Published: February 2024

AbstractPrenatal and perinatal complications represent well-known risk factors for the future development of psychiatric disorders. Such influence might become manifested during childhood and adolescence, as key periods for brain and behavioral changes. Internalizing and externalizing behaviors in adolescence have been associated with the risk of psychiatric onset later in life. Both brain morphology and behavior seem to be affected by obstetric complications, but a clear link among these three aspects is missing. Here, we aimed at analyzing the association between prenatal and perinatal complications, behavioral issues, and brain volumes in a group of children and adolescents. Eighty-two children and adolescents with emotional-behavioral problems underwent clinical and 3 T brain magnetic resonance imaging (MRI) assessments. The former included information on behavior, through the Child Behavior Checklist/6-18 (CBCL/6-18), and on the occurrence of obstetric complications. The relationships between clinical and gray matter volume (GMV) measures were investigated through multiple generalized linear models and mediation models. We found a mutual link between prenatal complications, GMV alterations in the frontal gyrus, and withdrawn problems. Specifically, complications during pregnancy were associated with higher CBCL/6-18 withdrawn scores and GMV reductions in the right superior frontal gyrus and anterior cingulate cortex. Finally, a mediation effect of these GMV measures on the association between prenatal complications and the withdrawn dimension was identified. Our findings suggest a key role of obstetric complications in affecting brain structure and behavior. For the first time, a mediator role of frontal GMV in the relationship between prenatal complications and internalizing symptoms was suggested. Once replicated on independent cohorts, this evidence will have relevant implications for planning preventive interventions.
Effect of chemically synthesized psilocybin and psychedelic mushroom extract on molecular and metabolic profiles in mouse brain
Authors: Shahar Orr , Botvinnik Alexander , Shwartz Amit , Lerer Elad , Golding Peretz , Buko Alex , Hamid Ethan , Kahn Dani , Guralnick Miles , Blakolmer Karin , Wolf Gilly , Lotan Amit , Lerer Leonard , Lerer Bernard , Lifschytz Tzuri 
Published: February 2024

AbstractPsilocybin, a naturally occurring, tryptamine alkaloid prodrug, is currently being investigated for the treatment of a range of psychiatric disorders. Preclinical reports suggest that the biological effects of psilocybin-containing mushroom extract or “full spectrum” (psychedelic) mushroom extract (PME), may differ from those of chemically synthesized psilocybin (PSIL). We compared the effects of PME to those of PSIL on the head twitch response (HTR), neuroplasticity-related synaptic proteins and frontal cortex metabolomic profiles in male C57Bl/6j mice. HTR measurement showed similar effects of PSIL and PME over 20 min. Brain specimens (frontal cortex, hippocampus, amygdala, striatum) were assayed for the synaptic proteins, GAP43, PSD95, synaptophysin and SV2A, using western blots. These proteins may serve as indicators of synaptic plasticity. Three days after treatment, there was minimal increase in synaptic proteins. After 11 days, PSIL and PME significantly increased GAP43 in the frontal cortex (p = 0.019; p = 0.039 respectively) and hippocampus (p = 0.015; p = 0.027) and synaptophysin in the hippocampus (p = 0.041; p = 0.05) and amygdala (p = 0.035; p = 0.004). PSIL increased SV2A in the amygdala (p = 0.036) and PME did so in the hippocampus (p = 0.014). In the striatum, synaptophysin was increased by PME only (p = 0.023). There were no significant effects of PSIL or PME on PSD95 in any brain area when these were analyzed separately. Nested analysis of variance (ANOVA) showed a significant increase in each of the 4 proteins over all brain areas for PME versus vehicle control, while significant PSIL effects were observed only in the hippocampus and amygdala and were limited to PSD95 and SV2A. Metabolomic analyses of the pre-frontal cortex were performed by untargeted polar metabolomics utilizing capillary electrophoresis – Fourier transform mass spectrometry (CE-FTMS) and showed a differential metabolic separation between PME and vehicle groups. The purines guanosine, hypoxanthine and inosine, associated with oxidative stress and energy production pathways, showed a progressive decline from VEH to PSIL to PME. In conclusion, our synaptic protein findings suggest that PME has a more potent and prolonged effect on synaptic plasticity than PSIL. Our metabolomics data support a gradient of effects from inert vehicle via chemical psilocybin to PME further supporting differential effects. Further studies are needed to confirm and extend these findings and to identify the molecules that may be responsible for the enhanced effects of PME as compared to psilocybin alone.
IP3R2-mediated Ca2+ release promotes LPS-induced cardiomyocyte pyroptosis via the activation of NLRP3/Caspase-1/GSDMD pathway
Authors: Wu Qing-Rui , Yang Hui , Zhang Hui-Dan , Cai Yong-Jiang , Zheng Yan-Xiang , Fang Heng , Wang Zi-Fan , Kuang Su-Juan , Rao Fang , Huang Huan-Lei , Deng Chun-Yu , Chen Chun-Bo 
Published: February 2024

AbstractPyroptosis plays a crucial role in sepsis, and the abnormal handling of myocyte calcium (Ca2+) has been associated with cardiomyocyte pyroptosis. Specifically, the inositol 1,4,5-trisphosphate receptor type 2 (IP3R2) is a Ca2+ release channel in the endoplasmic reticulum (ER). However, the specific role of IP3R2 in sepsis-induced cardiomyopathy (SIC) has not yet been determined. Thus, this study aimed to investigate the underlying mechanism by which IP3R2 channel-mediated Ca2+ signaling contributes to lipopolysaccharide (LPS)—induced cardiac pyroptosis. The SIC model was established in rats by intraperitoneal injection of LPS (10 mg/kg). Cardiac dysfunction was assessed using echocardiography, and the protein expression of relevant signaling pathways was analyzed using ELISA, RT-qPCR, and western blot. Small interfering RNAs (siRNA) and an inhibitor were used to explore the role of IP3R2 in neonatal rat cardiomyocytes (NRCMs) stimulated by LPS in vitro. LPS-induced NLRP3 overexpression and GSDMD-mediated pyroptosis in the rats’ heart. Treatment with the NLRP3 inhibitor MCC950 alleviated LPS-induced cardiomyocyte pyroptosis. Furthermore, LPS increased ATP-induced intracellular Ca2+ release and IP3R2 expression in NRCMs. Inhibiting IP3R activity with xestospongin C (XeC) or knocking down IP3R2 reversed LPS-induced intracellular Ca2+ release. Additionally, inhibiting IP3R2 reversed LPS-induced pyroptosis by suppressing the NLRP3/Caspase-1/GSDMD pathway. We also found that ER stress and IP3R2-mediated Ca2+ release mutually regulated each other, contributing to cardiomyocyte pyroptosis. IP3R2 promotes NLRP3-mediated pyroptosis by regulating ER Ca2+ release, and the mutual regulation of IP3R2 and ER stress further promotes LPS-induced pyroptosis in cardiomyocytes.
What is the power of a genomic multidisciplinary team approach? A systematic review of implementation and sustainability
Authors: Ma Alan , O’Shea Rosie , Wedd Laura , Wong Claire , Jamieson Robyn V , Rankin Nicole 
Published: February 2024

AbstractDue to the increasing complexity of genomic data interpretation, and need for close collaboration with clinical, laboratory, and research expertise, genomics often requires a multidisciplinary team (MDT) approach. This systematic review aims to establish the evidence for effectiveness of the genomic multidisciplinary team, and the implementation components of this model that can inform precision care. MEDLINE, Embase and PsycINFO databases were searched in 2022 and 2023. We included qualitative and quantitative studies of the genomic MDT, including observational and cohort studies, for diagnosis and management, and implementation outcomes of effectiveness, adoption, efficiency, safety, and acceptability. A narrative synthesis was mapped against the Genomic Medicine Integrative Research framework. 1530 studies were screened, and 17 papers met selection criteria. All studies pointed towards the effectiveness of the genomic MDT approach, with 10-78% diagnostic yield depending on clinical context, and an increased yield of 6-25% attributed to the MDT. The genomic MDT was found to be highly efficient in interpretation of variants of uncertain significance, timeliness for a rapid result, made a significant impact on management, and was acceptable for adoption by a wide variety of subspecialists. Only one study utilized an implementation science based approach. The genomic MDT approach appears to be highly effective and efficient, facilitating higher diagnostic rates and improved patient management. However, key gaps remain in health systems readiness for this collaborative model, and there is a lack of implementation science based research especially addressing the cost, sustainability, scale up, and equity of access.