bluuebunny/crossref_metadata_2025_split huggingface dataset:
2023 European Society of Cardiology guidelines for the management of acute coronary syndromes
Authors: Zwart Bastiaan , Claessen Bimmer E. P. M. , Damman Peter , Woudstra Pier , Vink Maarten A. , Balder J. Willem , Dickinson Michael G. , Badings Erik A. , Appelman Yolande , van ’t Hof Arnoud W. J. , ten Berg Jurriën M. , Arslan Fatih 
Published: September 2024

AbstractThis review discusses the new recommendations in the 2023 European Society of Cardiology guidelines on the management of acute coronary syndrome and provides a perspective on topics specific to clinical practice in the Netherlands, including pre-treatment, antiplatelet agent strategies, the use of risk scores and logistical considerations with regard to the timing of coronary angiography.
Short-chain fatty acids play a positive role in colorectal cancer
Authors: Liu Gang , Tang Jingtong , Zhou Jianping , Dong Ming 
Published: September 2024

AbstractShort-chain fatty acids (SCFAs) are produced by bacterial fermentation in the colon and are thought to be protective against gastrointestinal disease. SCFAs such as acetate, propionate and butyrate are important metabolites in the maintenance of intestinal homeostasis and have been shown to be beneficial in colorectal cancer (CRC). SCFAs are responsible for maintaining a normal intestinal barrier and exhibit numerous immunomodulatory functions. In this review article, we will discuss the metabolism and mechanism of action of SCFAs and their effects on the CRC, with particular emphasis on dietary fiber treatment and the clinical research progress.
Tailored lateral internal sphincterotomy (T-LIS) for chronic anal fissure by LigaSure Small Jaws©: a comparison with other non-conservative treatments for anal fissures
Authors: Gentile Maurizio , Schiavone Vincenzo , Franzese Antonio , Di Lascio Sebastiano , Velotti Nunzio 
Published: September 2024

AbstractAn anal fissure is a small tear in the thin tissue (mucosa) that lines the anus. Anal fissures typically cause pain and bleeding with bowel movements. The cause is not fully understood, but low intake of dietary fiber may be a risk factor. Chronic anal fissure was defined as a split or ulceration in the posterior or anterior anoderm for at least 6 weeks: have distinct anatomic features such as muscle fibers visible in the wound. Anal fissures can be attributed to constipation or repeated straining: a hard fecal bolus cut the mucosa of anal canal that is relatively thigh at sphincter level management and optimal treatment of the disease is controversial. Many studies recommend conservative and medical treatment modalities as the initial treatment options since they are non-invasive and do not have risks such as anal sphincter injury. Lateral internal sphincterotomy (LIS) is considered the gold standard for treatment of chronic anal fissure. Nonetheless, anal incontinence is one of the worrisome complications of LIS. Fissurectomy is another option among those techniques which address the issues with LIS. LigaSure© (Valleylab) is a bipolar electrosurgical device designed to deliver high current and very low voltage to tissue. It monitors tissue impedance between the jaws of the instrument and continuously adjusts the delivery of energy. The use of LigaSure Small Jaw was never reported for anal fissures in literature. We have applied the use of this device to a group of patients complaining for chronic anal fissure in order to verify if there is any advantage to perform it compared to traditional technique (blade, scissors, electrocautery).
Environmental effects on the experimental modal parameters of masonry buildings: experiences from the Italian Seismic Observatory of Structures (OSS) network
Authors: Sivori D. , Merani M. G. B. , Bocchi F. , Spina D. , Cattari S. 
Published: September 2024

AbstractThe paper presents an in-depth analysis of the ambient dynamic behavior of nine masonry buildings monitored by the Italian Seismic Observatory of Structures (OSS). Addressing a significant knowledge gap affecting this structural type, the study reveals how daily and seasonal fluctuations in environmental factors have a notable influence on its experimental modal parameters. A robust frequency-domain tracking algorithm is first developed to identify and follow the evolution of modal parameters over time, exploiting ambient vibration recordings acquired at sub-daily intervals on the structures. The procedure is systematically applied to the entire portfolio of case-study buildings and, in the first year of training, integrated with measurements of environmental parameters provided by nearby weather stations. The multivariate regression analysis indicates that temperature variation is the primary driver of the observed wandering of natural frequencies. The frequency–temperature relationship shows a positive correlation above zero degrees and, in several cases, a significant degree of nonlinearity already present in low-frequency global modes. Simple predictive models are proposed to address such nonlinear behavior, including freezing conditions and accounting for internal heating during winter. Leveraging these novel insights, the work develops strategies to improve the efficiency of data acquisition protocols and training periods, enabling the near-future extension of real-time condition assessment methodologies to the entire OSS network.
Treatment effect analysis of the Frailty Care Bundle (FCB) in a cohort of patients in acute care settings
Authors: Crowe Colum , Naughton Corina , de Foubert Marguerite , Cummins Helen , McCullagh Ruth , Skelton Dawn A. , Dahly Darren , Palmer Brendan , O’Flynn Brendan , Tedesco Salvatore 
Published: September 2024

Abstract
Purpose
The aim of this study is to explore the feasibility of using machine learning approaches to objectively differentiate the mobilization patterns, measured via accelerometer sensors, of patients pre- and post-intervention.

Methods
The intervention tested the implementation of a Frailty Care Bundle to improve mobilization, nutrition and cognition in older orthopedic patients. The study recruited 120 participants, a sub-group analysis was undertaken on 113 patients with accelerometer data (57 pre-intervention and 56 post-intervention), the median age was 78 years and the majority were female. Physical activity data from an ankle-worn accelerometer (StepWatch 4) was collected for each patient during their hospital stay. These data contained daily aggregated gait variables. Data preprocessing included the standardization of step counts and feature computation. Subsequently, a binary classification model was trained. A systematic hyperparameter optimization approach was applied, and feature selection was performed. Two classifier models, logistic regression and Random Forest, were investigated and Shapley values were used to explain model predictions.

Results
The Random Forest classifier demonstrated an average balanced accuracy of 82.3% (± 1.7%) during training and 74.7% (± 8.2%) for the test set. In comparison, the logistic regression classifier achieved a training accuracy of 79.7% (± 1.9%) and a test accuracy of 77.6% (± 5.5%). The logistic regression model demonstrated less overfitting compared to the Random Forest model and better performance on the hold-out test set. Stride length was consistently chosen as a key feature in all iterations for both models, along with features related to stride velocity, gait speed, and Lyapunov exponent, indicating their significance in the classification.

Conclusion
The best performing classifier was able to distinguish between patients pre- and post-intervention with greater than 75% accuracy. The intervention showed a correlation with higher gait speed and reduced stride length. However, the question of whether these alterations are part of an adaptive process that leads to improved outcomes over time remains.
Coupled heat transfer–crystallization analysis in continuous carbon fiber-reinforced thermoplastic composites 3D printing: simulation and experimental validation
Authors: Parviz Hadi , Eder Martin Alexander , Sarhadi Ali 
Published: September 2024

AbstractThis study proposes an advanced progressive numerical modeling approach to investigate heat transfer phenomena occurring in the 3D printing of continuous carbon fiber-reinforced co-polyamide (Copa) composites. The material extrusion process is simulated using element activation techniques and active cooling methods, while thermal boundary conditions are updated during the printing process. Differential Scanning Calorimetry (DSC) tests are conducted on composite and neat polymer samples to include the crystallization behavior, where the Hoffman–Lauritzen model is employed for crystallization modeling based on the input data from DSC tests. It is demonstrated that the proposed modeling approach, coupled with the Hoffman–Lauritzen crystallization model, accurately predicts the thermal history of the composite extrudate post-deposition. In the case of a neat polymer, the results of the developed FEM model align well with existing literature. Experimental in-situ temperature measurements utilizing thermal vision agree very well with the predictions of the heat transfer model developed for 3D printing of continuous fiber-reinforced Copa composites, demonstrating the model's capability to predict temperature profiles during printing.
A decentralized control approach in hypergraph distributed optimization decomposition cases
Authors: Papastaikoudis Ioannis , Watson Jeremy , Lestas Ioannis 
Published: September 2024

AbstractWe study the main decomposition approaches (primal, dual and primal–dual) for a distributed optimization problem from a dynamical system perspective where the couplings among the variables of the optimization problem are described by an undirected, unweighted hypergraph. We conduct stability analysis for the respective dynamical systems of the decomposition cases by using non linear decentralized control theoretic techniques and spectral properties of the respective communication matrices, i.e., the incidence and the Laplacian matrices of the hypergraph. Finally, we provide numerical simulations under a specific coalitional setting that demonstrate the superiority of the hypergraph compared to its respective graph analogue, the clique expansion graph, for the given decomposition algorithms in terms of convergence rate and information transmission efficiency.
Power in the future of work: production, reproduction, and reconstruction
Authors: Dannreuther Charlie 
Published: September 2024

AbstractLabour studies have always been concerned with power, so how do concepts of power inform an understanding of the future of work today? Luke’s Three Dimensions of Power reveals how past contests over the normative outcomes and policy choices of future labour also present for platform capitalism. But while modern conceptions of power capture the realignment of productivist power relations under rentier capital, they fall short in explaining the legacy of colonial capital on the future of work. Drawing on a wide range of post-colonial and post human literatures, structural power is shown to forget the futures of many exploited, dispossessed and subaltern workers where productive alliances may be formed. Understanding power in these terms also shows how power relations can be confronted and challenged in a post-productivist agenda that could inform new ways of understanding the future of labour.
Advances in the Protection of New Varieties of Horticultural Crops in China
Authors: Liu Jinghui , Wang Hao , Jing Ruonan , Ma Yingxue , Sun Lei , Fan Xiucai , Zhang Ying , Liu Chonghuai , Jiang Jianfu 
Published: September 2024

AbstractHorticultural crops yield considerable economic benefits, vital for supply stability and income enhancement. Plant breeders' rights (PBR) form a foundation, offering breeders essential safeguards to secure benefits and sustain breeding efforts. Therefore, comprehending the status and challenges in horticultural crop variety protection is vital for advancing horticulture. These crops encompass five primary categories: ornamental plants, fruit trees, vegetables, tea, and edible fungi. This article reviews the distinctness, uniformity, and stability (DUS) testing guidelines and progress in molecular identification research for Chinese horticultural crops from 1999 to 2022. Additionally, it statistically analyzes data from the Chinese Ministry of Agriculture and Rural Affairs and the Forestry Knowledge Service System on PBR applications and grants for all horticultural crop breeders. This review aims to provide a comprehensive understanding of the current state of horticultural crop variety protection in China. By thoroughly analyzing the existing status and challenges, the article seeks to enhance the international standing of plant variety protection in Chinese horticulture.
Effect of depression treatment on health behaviors and cardiovascular risk factors in primary care patients with depression and elevated cardiovascular risk: data from the eIMPACT trial
Authors: Schuiling Matthew D. , Shell Aubrey L. , Callahan Christopher M. , Nurnberger John I. , MacDonald Krysha L. , Considine Robert V. , Wu Wei , Hirsh Adam T. , Crawford Christopher A. , Williams Michelle K. , Lipuma Timothy C. , Gupta Samir K. , Kovacs Richard J. , Rollman Bruce L. , Stewart Jesse C. 
Published: September 2024

AbstractBackgroundDepression is an independent risk factor for cardiovascular disease (CVD), but it is unknown if successful depression treatment reduces CVD risk.MethodsUsing eIMPACT trial data, we examined the effect of modernized collaborative care for depression on indicators of CVD risk. A total of 216 primary care patients with depression and elevated CVD risk were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed over 12 months. Incident CVD events were tracked over four years using a statewide health information exchange.ResultsThe intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). The likelihood of an incident CVD event did not differ between the intervention (13/107, 12.1%) and usual care (9/109, 8.3%) groups (p = 0.39).ConclusionsSuccessful depression treatment alone is not sufficient to lower the heightened CVD risk of people with depression. Alternative approaches are needed.Trial Registration:ClinicalTrials.gov Identifier: NCT02458690
Public mental health – a challenge for local communities and research
Authors: Priebe Stefan , Reininghaus Ulrich 
Published: September 2024

AbstractCommon approaches for improving the mental health of the population in general and of vulnerable groups in particular include policies to address social determinants and the expansion of professional health services. Both approaches have substantial limitations in practice. A more promising option is actions that utilize resources that either already exist or can easily be generated in local communities. Examples are provided for various local initiatives with the potential to facilitate helpful interactions and relationships that are likely to benefit the mental health of significant parts of the population. Developing and implementing such initiatives is a challenge to communities, while their evaluation may require innovative methods in research.
Ocean Density Currents Induced by MJO Precipitation: A Key Player in Warm Pool Eastward Extension During Onset of El Niño
Authors: Jauregui Yakelyn R. , Chen Shuyi S. 
Published: September 2024

AbstractEnhanced warm pool eastward extension (WPEE) over the western‐central Pacific prior to the onset of El Niño has been observed following Madden‐Julian Oscillation (MJO) precipitation events. However, the mechanism driving the WPEE after the MJO precipitation remains unclear. This study investigates how MJO precipitation affects WPEE by analyzing the zonal momentum budget of two coupled atmosphere‐ocean model simulations with and without freshwater from Kerns and Chen (2021, https://doi.org/10.1016/j.ocemod.2021.101892). It is found that the zonal pressure gradient (ZPG) force created by decreasing salinity and density from MJO precipitation is a key driving force of the WPEE during the onset of El Niño in 2018. The ZPG forces eastward density currents, transporting warmer and fresher waters against persistent easterly winds. Eastward density currents can persist for up to 30 days post‐MJO precipitation. This new mechanism works in concert with two other well‐known MJO‐induced processes in the upper ocean: (a) deepening of thermocline by oceanic Kelvin waves excited by the MJO's westerly winds, and (b) increased SST due to the barrier layer formation. The cumulative effects of these interactive processes during consecutive MJO events reduce the Pacific basin‐scale east‐west temperature gradient, enhancing the WPEE. These processes can contribute to flattening the east‐west thermocline, decreasing in upwelling in the central Pacific, and warming in the eastern equatorial Pacific.
Fine Shallow Structures of Binchuan Basin Inverted From Receiver Functions and Implications for Basin Evolution
Authors: Sun Tianwei , Wang Baoshan , Yang Wei 
Published: September 2024

AbstractThe understanding of the velocity structure and basement morphology within the basin is crucial for seismic hazard mitigation and the study of basin evolution. To explore the intricate structure of the Binchuan Basin in western Yunnan, China, we deployed a linear dense array in the northern region of the Binchuan Basin, with inter‐station distance ranging from 50 to 100 m. We propose a novel receiver function processing workflow. Initially, we extracted coherent receiver functions based on the dense array, followed by a inversion of basement morphology, S‐wave velocities, and sedimentary layer's average Vp/Vs ratio jointly with frequency‐dependent teleseismic apparent shear velocity and receiver function waveforms. The results show that S‐wave velocity anomalies correspond to the unconsolidated sediments. The thickness of the sedimentary layer ranges from ∼0.5 to ∼0.75 km. The basement morphology suggests the basin is controlled by normal faults. Additionally, intra‐basin faults displayed higher fault displacement to length ratios (∼0.27) than most isolated normal faults (10−3–10−1), which may result from accumulated fault displacement due to interactions between fault segments. These results emphasize the significant role of N–S trending intra‐basin faults in basin evolution, suggesting that micro‐block rotations and transitional movements within the Northwestern Yunnan Rift Zone are primary mechanisms shaping the Binchuan Basin. We further proposed a multi‐stage model for the evolution of the Binchuan Basin. The robustness testing validates that the proposed processing flow is an effective approach to comprehensively image the basin velocity structure and the basement morphology.
Lancang Fault Assists Block Extrusion in Southeastern Tibet During Early‐Middle Miocene
Authors: Li Chao , Zhao Zhongbao , Chevalier Marie‐Luce , Zheng Yong , Liu Dongliang , Lu Haijian , Bons Paul D. , Li Haibing 
Published: September 2024

AbstractThe tectonic and topographic evolution of the southeastern Tibetan Plateau based on low‐temperature thermochronology data is controversial, especially whether it is tectonically‐ or climatically‐controlled, especially along the Lancang fault (LCF) that links the flat central plateau to the west with the high relief southeastern Tibetan Plateau to the east. To explore the tectonic evolution of the LCF and its role in the tectonic and topographic evolution of the southeastern Tibetan Plateau, we carried out detailed field investigation and low‐temperature thermochronology (AHe, AFT, and ZHe) analyses. Field evidence indicate that the northern LCF splits into two branches, the Yangda‐Yaxu and Baqing‐Leiwuqi faults, the latter striking N50°W and dipping to the SW at ∼55°, exposing >100 m‐wide fault rocks composed of a fault damage zone, breccia, and gouge. New thermochronology data and thermo‐kinematic modeling results suggest rapid exhumation of the region located between these two fault branches during ∼22–10 Ma at an exhumation rate of ∼1.57 km/Ma, compared to slow cooling prior to 22 Ma and since 10 Ma. We propose that internal anti‐clockwise block rotation triggered rapid local exhumation, and that the final merging of different parts of the LCF during the Early‐Middle Miocene assisted the southeastward escape of Sundaland, which profoundly affected the evolution of the regional geomorphology.
Broadband infrared imaging governed by guided-mode resonance in dielectric metasurfaces
Authors: Zheng Ze , Smirnova Daria , Sanderson Gabriel , Cuifeng Ying , Koutsogeorgis Demosthenes C. , Huang Lujun , Liu Zixi , Oulton Rupert , Yousefi Arman , Miroshnichenko Andrey E. , Neshev Dragomir N. , O’Neill Mary , Rahmani Mohsen , Xu Lei 
Published: September 2024

AbstractNonlinear metasurfaces have experienced rapid growth recently due to their potential in various applications, including infrared imaging and spectroscopy. However, due to the low conversion efficiencies of metasurfaces, several strategies have been adopted to enhance their performances, including employing resonances at signal or nonlinear emission wavelengths. This strategy results in a narrow operational band of the nonlinear metasurfaces, which has bottlenecked many applications, including nonlinear holography, image encoding, and nonlinear metalenses. Here, we overcome this issue by introducing a new nonlinear imaging platform utilizing a pump beam to enhance signal conversion through four-wave mixing (FWM), whereby the metasurface is resonant at the pump wavelength rather than the signal or nonlinear emissions. As a result, we demonstrate broadband nonlinear imaging for arbitrary objects using metasurfaces. A silicon disk-on-slab metasurface is introduced with an excitable guided-mode resonance at the pump wavelength. This enabled direct conversion of a broad IR image ranging from >1000 to 4000 nm into visible. Importantly, adopting FWM substantially reduces the dependence on high-power signal inputs or resonant features at the signal beam of nonlinear imaging by utilizing the quadratic relationship between the pump beam intensity and the signal conversion efficiency. Our results, therefore, unlock the potential for broadband infrared imaging capabilities with metasurfaces, making a promising advancement for next-generation all-optical infrared imaging techniques with chip-scale photonic devices.