bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiac resynchronization therapy in heart failure based on Strauss criteria for left bundle branch block
Authors: Saplaouras Athanasios , Vlachos Konstantinos , Mililis Panagiotis , Batsouli Athena , Bazoukis George , Xydonas Sotirios , Niarchou Panagioula , Frontera Antonio , Dragasis Stylianos , Kariki Ourania , Patsiotis Ilias G. , Gkouziouta Aggeliki , Stachteas Panagiotis , Korantzopoulos Panagiotis , Tzeis Stylianos , Fragakis Nikolaos , Efremidis Michael , Letsas Konstantinos P. 
Published: September 2024

AbstractAimsThe left bundle branch block (LBBB) is a strong predictor of response to cardiac resynchronization therapy (CRT). However, a significant number of patients do not respond to the treatment. The study sought to evaluate the impact of the stricter Strauss criteria for left bundle branch block (St‐LBBB) on CRT response, hospitalizations, ventricular arrhythmia (VA) events and mortality.MethodsThis study is a retrospective analysis of prospectively collected data on heart failure (HF) patients with LBBB admitted for CRT implantation. Patients were divided into two groups according to the fulfilment or not of St‐LBBB criteria.ResultsThe study included 82 patients with ischaemic (ICM) and non‐ischaemic (NICM) cardiomyopathy [46 (56%) with St‐LBBB and 36 (44%) with non‐St‐LBBB]. Patients with St‐LBBB showed higher CRT response rates compared with those with non‐St‐LBBB (P < 0.01), while the group with NICM exhibited the greatest benefit (P < 0.01). St‐LBBB CRT responders displayed significantly lower rates of HF hospitalization (P < 0.0001) compared with the non‐St‐LBBB group. According to Kaplan–Meier time curves, this was primarily evident in patients with NICM (P < 0.0001). CRT responders displayed significantly fewer VA events (P < 0.001) and lower mortality rates (P < 0.0001) than non‐responders. Kaplan–Meier estimates demonstrated a significantly lower incidence of VAs in NICM patients with St‐LBBB (P = 0.049) compared with ICM patients with St‐LBBB (P = 0.25). Lower mortality rates were observed in CRT responders than non‐responders (P < 0.0001), with the group of NICM with St‐LBBB criteria exhibiting the greatest benefit (P = 0.0238).ConclusionsPatients with NICM and St‐LBBB present the greatest benefit concerning CRT response, HF hospitalizations, VA events and mortality. Although St‐LBBB criteria seem to improve patient selection for CRT, more data are needed to elucidate the role of St‐LBBB criteria in this setting.
Socio‐economic impact of solar cooking technologies on community kitchens under different climate conditions: A review
Authors: Verma Ashutosh , El‐Bayeh Claude Ziad , Buddhi Dharam , Amir Mohammad , Ahmad Furkan , Singh Hardial 
Published: September 2024

AbstractResidential cooking with non‐renewable energy sources, such as firewood, charcoal, natural gas, participate in the emission of more than a gigaton of CO2 per year, which represents 2% of the global CO2 emissions. Additionally, toxic particles including sulfur dioxide, carbon monoxide, and mercury are released leading to elevated levels of indoor air pollution, and adversely affecting the health of the inhabitants. The residential sector's non‐renewable energy cooking devices also pose significant problems, consuming approximately 30%–40% of global energy usage, with over 80% dedicated to cooking applications. To mitigate the negative impacts of traditional cooking on health and the environment, various renewable energy‐based cooking technologies have been developed recently. The primary contributions of our paper are to: (a) present a comprehensive review of concentrated solar thermal cooking technologies, assessing their social, economic, and environmental impact across different climatic zones in developing countries like India; (b) classify and compare different solar cooking technologies, highlighting their advantages and limitations in various scenarios; (c) evaluate the energy efficiency of diverse solar cooking technologies; (d) analyze the impact of solar cookers on communities in developing countries; and (e) identify the challenges and future directions for solar cooker technologies, particularly in solar community kitchens. Our novel findings demonstrate that using solar cooking devices can reduce energy consumption by up to 56% in Indian schools. Moreover, the payback period ranges from 3 to 6 years, contingent on the technology's cost, climatic conditions, and available subsidies. Consequently, significant positive impacts on society, the economy, and the environment are observed when traditional cooking devices are replaced by solar cooking devices. This study provides a unique and thorough analysis, contributing to the growing body of knowledge on sustainable cooking solutions and their potential to transform energy consumption patterns in developing regions.
LBCSC: Lattice‐based chameleon signcryption scheme for secure and privacy‐preserving vehicular communications
Authors: Zhang Jianhong , Cui Xinyan 
Published: September 2024

AbstractGuaranteeing the anonymity of the vehicle and the integrity of the transmitted message are two indispensable conditions in vehicular ad‐hoc network. Anonymous signature can achieve the two function. However, existing anonymous signature schemes constructed based on traditional cryptosystems cannot withstand quantum attacks. In addition, in some cases, the schemes need to satisfy the non‐transferability of signatures to solve the problem of signature misuse due to publicly verified signatures. In order to resist quantum attacks and address the problem of signature misuse, this article proposes a lattice‐based chameleon signcryption scheme, which aims to protect vehicle identity and data security. The scheme is resistant to quantum attacks and satisfies signature non‐transferability, signer rejectability and non‐repudiation. Especially, we prove that the proposed scheme is secure in the Standard Model based on the error learning problem and the classical lattice small integer solution problem.
Forecasting of S&P 500 ESG Index by Using CEEMDAN and LSTM Approach
Authors: Aggarwal Divya , Banerjee Sougata 
Published: September 2024

ABSTRACTThis study aims to forecast the S&P 500 ESG index using the mixture model of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and long short‐term memory (LSTM) prediction models. CEEMDAN enables decomposing the index's original return series into different intrinsic mode functions (IMFs) and a residual series. The decomposed IMFs are then regrouped into aggregate series depicting high frequency and medium frequency, while the residual series represent the trend component. LSTM algorithm is used on the aggregated series to obtain predicted values of the same. The study compares different prediction algorithms to identify their performance and explore the predictive power of the hybrid models.
River corridor beads are important areas of floodplain‐groundwater exchange within the Colorado River headwaters watershed
Authors: Schulz Evan Y. , Morrison Ryan R. , Bailey Ryan T. , Raffae Muhammad , Arnold Jeffrey G. , White Michael J. 
Published: September 2024

AbstractFloodplains are essential ecosystems that provide a variety of economic, hydrologic, and ecologic services. Within floodplains, surface water‐groundwater exchange plays an important role in facilitating biogeochemical processes and can have a strong influence on stream hydrology through infiltration or discharge of water. These functions can be difficult to assess due to the heterogeneity of floodplains and monitoring constraints, so numerical models are useful tools to estimate fluxes, especially at large spatial extents. In this study, we use the SWAT+ (Soil and Water Assessment Tool) ecohydrological model to quantify magnitudes and spatiotemporal patterns of floodplain surface water‐groundwater exchange in a mountainous watershed using an updated version of the gwflow module that directly calculates floodplain‐aquifer exchange rates during periods of floodplain inundation. The gwflow module is a spatially distributed groundwater modelling subroutine within the SWAT+ code that uses a gridded network and physically based equations to predict groundwater storage, groundwater head, and groundwater fluxes. We used SWAT+ to model the 7516 km2 Colorado River headwaters watershed and streamflow data from USGS gages for calibration and testing. Models that included floodplain‐groundwater interactions outperformed those without such interactions and provided valuable information about floodplain exchange rates and volumes. Our analyses on the location of floodplain fluxes in the watershed also show that wider areas of floodplains, “beads” (e.g., like beads on a necklace), exchanged a higher net and per area volume of water, as well as higher rates of exchange, compared to narrower areas, “strings.” Study results show that floodplain channel‐groundwater exchange is a valuable process to include in hydrologic models, and model outputs could inform land conservation practises by indicating priority locations, such as beads, where substantial hydrologic exchange occurs.
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement
Authors: Huang Zengan , Gao Shan , Yu Xiaxia , Zhu Liangjia , Gao Yi 
Published: September 2024

ABSTRACTRecent advancements in deformable image registration (DIR) have seen the emergence of supervised and unsupervised deep learning techniques. However, supervised methods are limited by the quality of deformation vector fields (DVFs), while unsupervised approaches often yield suboptimal results due to their reliance on indirect dissimilarity metrics. Moreover, both methods struggle to effectively model long‐range dependencies. This study proposes a novel DIR method that integrates the advantages of supervised and unsupervised learning and tackle issues related to long‐range dependencies, thereby improving registration results. Specifically, we propose a DVF generation diffusion model to enhance DVFs diversity, which could be used to facilitate the integration of supervised and unsupervised learning approaches. This fusion allows the method to leverage the benefits of both paradigms. Furthermore, a multi‐scale frequency‐weighted denoising module is integrated to enhance DVFs generation quality and improve the registration accuracy. Additionally, we propose a novel MambaReg network that adeptly manages long‐range dependencies, further optimizing registration outcomes. Experimental evaluation of four public data sets demonstrates that our method outperforms several state‐of‐the‐art techniques based on either supervised or unsupervised learning. Qualitative and quantitative comparisons highlight the superior performance of our approach.
A Stand‐Off Laser‐Induced Breakdown Spectroscopy (LIBS) System for Remote Bacteria Identification
Authors: Cheng Yong , Wang Shuqing , Chen Fei , Liang Jiahui , Zhang Yan , Zhang Lei , Yin Wangbao , Jia Suotang , Xiao Liantuan 
Published: September 2024

ABSTRACTBacteria are the primary cause of infectious diseases, making rapid and accurate identification crucial for timely pathogen diagnosis and disease control. However, traditional identification techniques such as polymerase chain reaction and loop‐mediated isothermal amplification are complex, time‐consuming, and pose infection risks. This study explores remote (~3 m) bacterial identification using laser‐induced breakdown spectroscopy (LIBS) with a Cassegrain reflective telescope. Principal component analysis (PCA) was employed to reduce the dimensionality of the LIBS spectral data, and the accuracy of support vector machine (SVM) and Random Forest (RF) algorithms was compared. Multiple repeated experiments showed that the RF model achieved a classification accuracy, recall, precision, and F1‐score of 99.81%, 99.80%, 99.79%, and 0.9979, respectively, outperforming the SVM model and providing more accurate remote bacterial identification. The method based on laser‐induced plasma spectroscopy and machine learning has broad application prospects, supporting noncontact disease diagnosis, improving public health, and advancing medical research and technological development.
Can cavum septum pellucidum width and length measurements also be reliable indicators of corpus callosum measurements in normal fetuses?
Authors: Can Sevim Tuncer , Golbasi Hakan , Bayraktar Burak , Saglam Ceren , Omeroglu Ibrahim , Torun Raziye , Gercik Ilayda , Aktas Hale Ankara , Ekin Atalay 
Published: September 2024

AbstractObjectiveTo examine the association between cavum septum pellucidum (CSP) and corpus callosum (CC) length and width measurements in mid‐trimester sonographic screening in normal fetuses.MethodsThis prospective cohort study examined 152 pregnant women who underwent mid‐trimester sonographic fetal anomaly screening. CSP and CC lengths and their anterior, middle, and posterior width measurements were examined sonographically. The association between length and width measurements of both structures, gestational week and CSP ratio (length/width) were evaluated.ResultsThe mean CSP length was 7.96 ± 1.09 mm, and the mean middle width was 3.43 ± 0.82 mm. The mean CC length was 20 ± 3.76 mm, and the mean middle width was 3.43 ± 0.82 mm. There was a positive correlation between CSP and CC lengths (r = 0.691, p < 0.001). There was also a significant correlation between CSP and CC anterior, middle and posterior widths (anterior (r = 0.366, p < 0.001), middle (r = 0.305, p < 0.001), and posterior (r = 0.233, p = 0.004)). All CSP and CC measurements were correlated with gestational age, biparietal diameter (BPD), and head circumference (HC) (p < 0.001, for all). The CSP ratio was not related to CC dimensions (p > 0.05, for all) and also decreased with the increase in BPD and HC dimensions (r = −0.186, p = 0.022, and r = −0.174, p = 0.032; respectively).ConclusionIn normal fetuses, the length and width of the CC and CSP structures developed in relation to each other, as well as to the gestational week, BPD, and HC dimensions. In addition, while the CSP ratio was not found to be associated with CC dimensions, it decreased due to the increase in BPD and HC sizes.
A right ventricular bulge: A clinical dilemma in diagnosis
Authors: Allwood Richard P. 
Published: September 2024

AbstractArrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited disease characterized by progressive fibrofatty tissue replacement of the myocardium. Asymptomatic individuals can often present for the first time with acute cardiac symptoms, such as syncope and ventricular arrhythmias or sudden cardiac death (SCD), which can occur in young and athletic populations. In the field of inherited cardiomyopathies, ARVC is one of the most challenging to diagnose due to its variable expressivity, incomplete penetrance, and lack of specific, unique diagnostic criteria. Without additional clinical findings or context, current imaging modalities are unable to definitively distinguish ARVC from other disease entities. Right ventricular (RV) structural changes can lead to prominent ARVC features. An important component of the 2010 revised task force criteria (TFC) is the assessment of RV wall motion contraction by echocardiography; however, this can be difficult to assess. This case report explores the diagnostic criteria used for ARVC and the role of RV wall motion contraction in the diagnosis.
Plasma‐derived extracellular vesicles (EVs) as biomarkers of sepsis in burn patients via label‐free Raman spectroscopy
Authors: O'Toole Hannah J. , Lowe Neona M. , Arun Vishalakshi , Kolesov Anna V. , Palmieri Tina L. , Tran Nam K. , Carney Randy P. 
Published: September 2024

AbstractSepsis following burn trauma is a global complication with high mortality, with ∼60% of burn patient deaths resulting from infectious complications. Diagnosing sepsis is complicated by confounding clinical manifestations of the burn injury, and current biomarkers lack the sensitivity and specificity required for prompt treatment. There is a strong rationale to assess circulating extracellular vesicles (EVs) from patient liquid biopsy as sepsis biomarkers due to their release by pathogens from bacterial biofilms and roles in the subsequent immune response. This study applies Raman spectroscopy to patient plasma‐derived EVs for rapid, sensitive, and specific detection of sepsis in burn patients, achieving 97.5% sensitivity and 90.0% specificity. Furthermore, spectral differences between septic and non‐septic burn patient EVs could be traced to specific glycoconjugates of bacterial strains associated with sepsis morbidity. This work illustrates the potential application of EVs as biomarkers in clinical burn trauma care and establishes Raman analysis as a fast, label‐free method to specifically identify features of bacterial EVs relevant to infection amongst the host background.
Risk of dyslipidaemia in people living with HIV who are taking tenofovir alafenamide: a systematic review and meta‐analysis
Authors: Yoo Jeong‐Ju , Jung Eun Ae , Kim Sang Gyune , Kim Young Seok , Kim Min Jae 
Published: September 2024

AbstractIntroductionAmong many antiretroviral drugs, tenofovir alafenamide is used extensively in combination regimens of tenofovir/emtricitabine or tenofovir/emtricitabine/bictegravir. However, concerns have arisen about the potential of tenofovir alafenamide to exacerbate hyperlipidaemia. This meta‐analysis evaluates the relationship between tenofovir alafenamide use and lipid‐profile alterations in people living with HIV.MethodsWe searched PubMed, Ovid MEDLINE, EMBASE and the Cochrane Library to identify studies on changes in cholesterol levels (e.g. total cholesterol, low‐density and high‐density lipoprotein cholesterol, and triglycerides) in people living with HIV who received treatment with a regimen containing tenofovir alafenamide (data collected 31 March 2023, review completed 30 July 2023). Potential risk factors for worsening lipid profile during treatment with tenofovir alafenamide were also evaluated.ResultsSixty‐five studies involving 39,713 people living with HIV were selected. Significant increases in total cholesterol, low‐density and high‐density lipoprotein cholesterol, and triglycerides were observed after treatment with tenofovir alafenamide. Specifically, low‐density lipoprotein cholesterol (+12.31 mg/dl) and total cholesterol (+18.86 mg/dl) increased markedly from the third month of tenofovir alafenamide use, with significant elevations observed across all time points up to 36 months. Comparatively, tenofovir alafenamide regimens resulted in higher lipid levels than tenofovir disoproxil fumarate regimens at 12 months of use. Notably, discontinuation of the tenofovir alafenamide regimen led to significant decreases in low‐density lipoprotein cholesterol (–9.31 mg/dl) and total cholesterol (–8.91 mg/dl). Additionally, tenofovir alafenamide use was associated with increased bodyweight (+1.38 kg; 95% confidence interval: 0.92–1.84), which became more pronounced over time. Meta‐regression analysis identified young age, male sex and low body mass index as risk factors for worsening cholesterol levels in individuals treated with tenofovir alafenamide.ConclusionsTenofovir alafenamide use in people living with HIV is associated with significant alterations in lipid profile.
Persistently high HIV incidence among men who have sex with men and people who inject drugs attending integrated care centres in India: a longitudinal assessment of clinic‐based data
Authors: McFall Allison M. , Gunaratne Mihili P. , Ganapathi Lakshmi , Srikrishnan A. K. , Vasudevan C. K. , Anand Santhanam , Celentano David D. , Solomon Sunil S. , Mehta Shruti H. , Lucas Gregory M. 
Published: September 2024

AbstractIntroductionGlobally, there have been significant declines in HIV incidence over the past two decades, but this decline is slowing, and in some settings, declines have stalled or are growing—particularly where epidemics are concentrated in key populations (KPs). Understanding temporal changes in HIV incidence among KP is critical yet, due to logistical constraints, there are few sources of longitudinal incidence data, particularly among KP.MethodsWe present HIV incidence rates from June 2014 to December 2022 among cisgender men who have sex with men (MSM) and people who inject drugs (PWID) attending community‐based integrated care centres (ICCs) in 15 Indian cities. ICCs, established between 2014 and 2017, provide HIV testing and other services to MSM (eight sites) or PWID (eight sites). Client HIV testing data were included in the analysis if they had ≥2 tests and were not positive on the first test. We calculated incidence rates per 100 person‐years (PY), stratified by KP, city/site and year. Poisson regression explored associations of incidence with time, age, gender (PWID only) and ICC use.ResultsFrom June 2014 to December 2022, 13,501 clients (5722 MSM, 7779 PWID) had ≥2 HIV tests over a median of 1.8 years. There were a total of 1093 incident HIV acquisitions. Overall incidence rates for MSM and PWID were 1.9/100 PY (95% CI: 1.7−2.2) and 4.1 (3.9−4.4), respectively. Among MSM sites, incidence ranged from 0.4 to 3.5 and in PWID sites from 0.6 to 17.9. From adjusted models, incidence increased by 17% annually among MSM. Among PWID, incidence increased by 11% annually up until 2020 and then decreased by 29% after 2020; when excluding the outlier of New Delhi, incidence was stable among PWID. MSM and PWID 21−25 years old had the highest risk of HIV and among PWID, those more consistently engaged in medication for opioid use disorder were at the lowest risk.ConclusionsWhile there was substantial geographic variability, MSM and PWID engaged in a free community‐based clinic experienced persistently high HIV incidence (>2/100 PY). KP in low‐ and middle‐income countries should be a focus when considering novel strategies such as long‐acting pre‐exposure prophylaxis to curtail incidence.
Creative Minds in a Polarized World
Authors: Iannello Paola , Cancer Alice , Zmigrod Leor , Antonietti Alessandro , Salvi Carola 
Published: September 2024

ABSTRACTIn today's digital milieu, characterized by pervasive media exposure, the intricate interplay between individual differences and cognitive processes has garnered significant scholarly interest. A notable facet of this interrelation pertains to the nexus between cognitive flexibility and individuals' engagement with online information. Recognized as essential for creative cognition, cognitive flexibility encompasses various facets of human reasoning vital for adapting to new information and challenging entrenched perspectives. This review expands the traditional “out‐of‐the‐box” thinking paradigm beyond creative cognition to encompass a comprehensive reasoning framework that questions entrenched viewpoints and fixed cognitive schemas. By analyzing recent scholarly discussions on fake news and polarization, we underscore the pivotal role of cognitive flexibility in guiding individuals' critical navigation of the digital information landscape, promoting nuanced and less polarized perspectives. Introducing the concept of Socio‐Cognitive Polarization, we elucidate how individuals with differing ideological backgrounds can exhibit escalating cognitive divisions and absolutist tendencies. Leveraging insights from existing literature, we present methodological strategies for combating misinformation and nurturing critical thinking to counteract the detrimental impact of deceptive narratives on societal discourse. This scholarly exposition advances the understanding of the challenges associated with misinformation dissemination and offers empirically grounded approaches for enhancing critical cognition in the digital era.