bluuebunny/crossref_metadata_2025_split huggingface dataset:
Personas LGBTIQ+ en las firmas de contabilidad y auditoría en Colombia, percepciones y su rol laboral
Authors: Chamorro González Candy , Patiño-Jacinto Ruth Alejandra , Reiss Lea Katharina 
Published: August 2024

Actualmente la falta de atención al tema de la sexualidad y género en la investigación contable contribuye a reproducir la noción de que las firmas contables son lugares asexuales. Por ello, el estudio se centra en analizar la percepción de los empleados homosexuales sobre aspectos vinculados ante el manejo de su identidad sexual en las firmas de contabilidad en Colombia. El estudio se fundamenta en una metodología cualitativa a partir de la realización de una encuesta a 11 contadores LGBTIQ+; sin embargo, todos los participantes son hombres homosexuales, no se logra hallar contadorxs lesbianas, transexuales, queer, transgénero o intersexuales, que sin duda están presente en el escenario laboral contable colombiano, lo que ya de por si constituye un hallazgo. Los resultados reflejan que las percepciones son diversas a nivel personal, profesional y en el contexto laboral, la mayoría estuvieron centradas en que persisten barreras para la exhibición de identidades no heterosexuales ya que todavía se considera un tabú en muchos contextos, especialmente en campos tradicionales, como el contexto la firmas. Sin embargo, se concluye que se viene generando un movimiento fuerte contra la heteronormatividad en la contabilidad, ya que, incluso hoy en día, hay algunos contadores que se sienten cómodos para evidenciar su sexualidad en sus lugares de trabajo.
Rapid diagnosis of herpes simplex virus 1 and 2 bloodstream infections utilizing a sample-to-answer platform
Authors: Zhen Wei , Sheikh Farah , Breining Dwayne A. , Berry Gregory J. 
Published: August 2024

ABSTRACT

Bloodstream HSV-1 and HSV-2 infections can cause devastating outcomes with high morbidity and mortality, especially in neonates or immunocompromised individuals. Proper patient management for herpes simplex virus (HSV) bloodstream infections is time-sensitive and requires a rapid, accurate, and definitive diagnosis. The absence of the U.S. Food and Drug Administration (FDA)-approved molecular assays for HSV detection in blood, coupled with a lack of consensus on the optimal sample type, underscores the unmet need for improved diagnostics. We prospectively compared the cycle threshold values in paired samples including whole blood (WB), plasma, serum, and peripheral blood mononuclear cells (PBMCs) from patients with bloodstream HSV infections. This analysis employed a modified use of the FDA-cleared Simplexa HSV-1 & 2 Direct assay. The clinical performance in serum was assessed by comparing the results of 247 remnant specimens on this sample-to-answer platform to established laboratory-developed tests in a blinded fashion. Serum samples exhibited significantly lower cycle thresholds than whole blood samples [2.6 cycle threshold (Ct) bias,
P
< 0.001]. The modified Simplexa assay demonstrated 100% positive percent agreement for the detection of HSV-1 and HSV-2 DNA in serum samples and yielded an overall agreement of 95% (95% CI, 0.92 to 0.97), with a κ statistic of 0.75 (95% CI, 0.62 to 0.86) compared to the composite reference method. Discordance rates were 5.20% for HSV-1 and 0.81% for HSV-2. This investigation demonstrates that serum is an optimal specimen type for HSV detection when compared to several blood compartments. Serum offers a promising sample type for rapid and accurate diagnosis of HSV bloodstream infections using the modified Simplexa assay.

IMPORTANCE
Rapid, accurate, and definitive diagnosis of herpes simplex virus (HSV) infections is crucial in clinical settings for patient management. The absence of FDA-authorized molecular assays for HSV-1/2 detection in blood, coupled with a lack of consensus on the optimal sample type, underscores the need for improved diagnostic methods. Furthermore, rapid diagnosis of HSV bloodstream infections enables timely administration of antiviral treatment, influences patient management decisions for those at high risk, and can contribute to shorter hospital stays, thereby reducing healthcare costs.
Use of qPCR to Evaluate Efficiency of the Bulky DNA Damage Removal in Extracts of Mammalian Cells with Different Maximum Lifespan
Authors: Popov Aleksei A. , Shamanin Vladimir A. , Petruseva Irina O. , Evdokimov Aleksei N. , Lavrik Olga I. 
Published: August 2024

Abstract
Proteins of nucleotide excision repair system (NER) are responsible for detecting and removing a wide range of bulky DNA damages, thereby contributing significantly to the genome stability maintenance within mammalian cells. Evaluation of NER functional status in the cells is important for identifying pathological changes in the body and assessing effectiveness of chemotherapy. The following method, described herein, has been developed for better assessment of bulky DNA damages removal in vitro, based on qPCR. Using the developed method, NER activity was compared for the extracts of the cells from two mammals with different lifespans: a long-lived naked mole-rat (Heterocephalus glaber) and a short-lived mouse (Mus musculus). Proteins of the H. glaber cell extract have been shown to be 1.5 times more effective at removing bulky damage from the model DNA substrate than the proteins of the M. musculus cell extract. These results are consistent with the experimental data previously obtained. The presented method could be applied not only in fundamental studies of DNA repair in mammalian cells, but also in clinical practice.
Mechanism of PARP1 Elongation Reaction Revealed by Molecular Modeling
Authors: Pushkarev Sergey V. , Kirilin Evgeny M. , Švedas Vytas K. , Nilov Dmitry K. 
Published: August 2024

Abstract
Poly(ADP-ribose) polymerase 1 (PARP1) plays a major role in the DNA damage repair and transcriptional regulation, and is targeted by a number of clinical inhibitors. Despite this, catalytic mechanism of PARP1 remains largely underexplored because of the complex substrate/product structure. Using molecular modeling and metadynamics simulations we have described in detail elongation of poly(ADP-ribose) chain in the PARP1 active site. It was shown that elongation reaction proceeds via the SN1-like mechanism involving formation of the intermediate furanosyl oxocarbenium ion. Intriguingly, nucleophilic 2′A-OH group of the acceptor substrate can be activated by the general base Glu988 not directly but through the proton relay system including the adjacent 3′A-OH group.
Dose-Dependent Alterations of Lysosomal Activity and Alpha-Synuclein in Peripheral Blood Monocyte-Derived Macrophages and SH-SY5Y Neuroblastoma Cell Line by upon Inhibition of MTOR Protein Kinase – Assessment of the Prospects of Parkinson’s Disease Therapy
Authors: Bezrukova Anastasia I. , Basharova Katerina S. , Baydakova Galina V. , Zakharova Ekaterina Y. , N. Pchelina Sofya , Usenko Tatiana S. 
Published: August 2024

Abstract
To date, the molecular mechanisms of the common neurodegenerative disorder Parkinson’s disease (PD) are unknown and, as a result, there is no neuroprotective therapy that may stop or slow down the process of neuronal cell death. The aim of the current study was to evaluate the prospects of using the mTOR molecule as a potential target for PD therapy due to the dose-dependent effect of mTOR kinase activity inhibition on cellular parameters associated with, PD pathogenesis. The study used peripheral blood monocyte-derived macrophages and SH-SY5Y neuroblastoma cell line. As a result, we have for the first time showed that inhibition of mTOR by Torin1 only at a concentration of 100 nM affects the level of the lysosomal enzyme glucocerebrosidase (GCase), encoded by the GBA1 gene. Mutations in GBA1 are considered a high-risk factor for PD development. This concentration led a decrease in pathological phosphorylated alpha-synuclein (Ser129), an increase in its stable tetrameric form with no changes in the lysosomal enzyme activities and concentrations of lysosphingolipids. Our findings suggest that inhibition of the mTOR protein kinase could be a promising approach for developing therapies for PD, particularly for GBA1-associated PD.
Robust Dual-Color Electrochromism of Vanadium Oxide Nanorods Embedded on Reduced Graphene Oxide: Unraveling the Mechanism
Authors: Bhattacharjee Saheli , Sen Sovandeb , Kundu Susmita 
Published: August 2024

Vanadium pentoxide (V2O5), associated with both cathodic and anodic coloration, is considered as one of the best electrochromic (EC) materials for energy-saving smart electronics. Here we present the fabrication and detailed mechanism analysis for improving the electrochromic properties of V2O5 incorporated in a reduced graphene oxide (rGO) matrix using a facile wet chemical method. The microstructural study disclosed the formation of prominent V2O5 nanorods embedded in the rGO matrix. The optimized electrochromic film resulted in coloration (tc) and bleaching time (tb) of ∼6.2 and ∼4.8 s, respectively, much faster than the color switching kinetics of the pristine V2O5 sample (tc ∼ 19.4 s, tb ∼ 15.3 s). The more dispersed structure also ensured an approximate 400% enhancement in the optical modulation of EC film and reflected a noticeable improvement in the coloration efficiency (∼347 cm2/C) of V2O5 film. Modification with rGO resulted in an outstanding improvement in the electrochemical redox stability of V2O5 up to 5000 CV cycles with minimum deterioration in the curve area. The formation of nanorod structure was the prime factor for better ion diffusion and thereby facilitating enhanced performance.
Fast On-Site Electroanalysis of Eicosapentaenoic Acid Ethyl Ester in the Liver and Meat of Stingray Using a Stochastic Miniplatform Based on a 3D Stochastic Microsensor
Authors: Stefan-van Staden Raluca Ioana , Dragoi Brinza Andreea , Gheorghe Damaris Cristina , Stanciu Gabriela 
Published: August 2024

Eicosapentaenoic acid ethyl ester has an important role in metabolism and it is also an important antithrombotic agent. Its concentration in the liver and meat of the stingray is essential when one would like to use the extracts containing the eicosapentaenoic acid ethyl ester from stingray as biopharmaceutical products. A miniplatform having as detection tool a 3D stochastic microsensor was designed and used for the assay of eicosapentaenoic acid ethyl ester from stingray liver and meat. Natural monocrystalline diamond paste was modified with a solution of heptakis(2,3,6-tri-O-methyl)-beta-cyclodextrin to obtain the modified diamond paste used in the 3D stochastic microsensor. A wide working concentration range (5.0 × 10−15 – 5.0 × 10−8) and a very low limit of quantitation (5.0 × 10−15) were attained. The proposed miniplatform was successfully used for the assay of eicosapentaenoic acid ethyl ester from stingray liver and meat with recoveries higher than 99.90%, and % RSD values lower than 0.05 (N = 10).
Séan O’Casey: A Minor Literature? <i>Plough and the Stars</i>’ Pub Scene through Deleuze and Guattari's Perspective
Authors: Queiroz Marina Naves S. M. 
Published: August 2024

Esse trabalho busca discutir a cena do pub da peça Plough and the Stars de Séan O’Casey tendo a perspectiva de Deleuze e Guattari acerca das literaturas ditas menores como ponto de partida. Considerando o contexto colonial e revoltoso em que foi escrita, não poderíamos analisar e compreender a ambientação que foi a Revolta da Páscoa e os seus efeitos nas personagens, bem como a maneira como estas operam no cenário do pub, sem ter em mente as três características da literatura menor: a desterritorialização da linguagem, a conexão do individual com o político e o caráter coletivo do enunciado. Entendendo essas marcas e como elas estão intimamente presentes na obra dramatúrgica, mais especificamente na cena escolhida para o estudo, é possível inferir se elas atuam de maneira essencial ou não na construção de sentido no trabalho literário de O’Casey. Por fim, passando por esses três pontos, pode-se falar sobre a possibilidade do pub irlandês ser como um novo território para os desterritorializados — de maneira distorcida, mas democrática, sendo um espaço onde as personas da peça, pessoas do dia a dia, podem discutir ideias e participar da sociedade.
High-Throughput Deep Learning Detection of Mitral Regurgitation
Authors: Vrudhula Amey , Duffy Grant , Vukadinovic Milos , Liang David , Cheng Susan , Ouyang David 
Published: August 2024

BACKGROUND:
Diagnosis of mitral regurgitation (MR) requires careful evaluation by echocardiography with Doppler imaging. This study presents the development and validation of a fully automated deep learning pipeline for identifying apical 4-chamber view videos with color Doppler echocardiography and detecting clinically significant (moderate or severe) MR from transthoracic echocardiograms.

METHODS:
A total of 58 614 transthoracic echocardiograms (2 587 538 videos) from Cedars-Sinai Medical Center were used to develop and test an automated pipeline to identify apical 4-chamber view videos with color Doppler across the mitral valve and then assess MR severity. The model was tested internally on a test set of 1800 studies (80 833 videos) from Cedars-Sinai Medical Center and externally evaluated in a geographically distinct cohort of 915 studies (46 890 videos) from Stanford Healthcare.

RESULTS:
In the held-out Cedars-Sinai Medical Center test set, the view classifier demonstrated an area under the curve (AUC) of 0.998 (0.998–0.999) and correctly identified 3452 of 3539 echocardiography videos as having color Doppler information across the mitral valve (sensitivity of 0.975 [0.968–0.982] and specificity of 0.999 [0.999–0.999] compared with manually curated videos). In the external test cohort from Stanford Healthcare, the view classifier correctly identified 1051 of 1055 manually curated videos with color Doppler information across the mitral valve (sensitivity of 0.996 [0.990–1.000] and specificity of 0.999 [0.999–0.999]). In the Cedars-Sinai Medical Center test cohort, MR moderate or greater in severity was detected with an AUC of 0.916 (0.899–0.932) and severe MR was detected with an AUC of 0.934 (0.913–0.953). In the Stanford Healthcare test cohort, the model detected MR moderate or greater in severity with an AUC of 0.951 (0.924–0.973) and severe MR with an AUC of 0.969 (0.946–0.987).

CONCLUSIONS:
In this study, a novel automated pipeline for identifying clinically significant MR from full transthoracic echocardiography studies demonstrated excellent performance across large numbers of studies and across multiple institutions. Such an approach has the potential for automated screening and surveillance of MR.
A diffusion tensor imaging white matter atlas of the domestic canine brain
Authors: Inglis Fiona M. , Taylor Paul A. , Andrews Erica F. , Pascalau Raluca , Voss Henning U. , Glen Daniel R. , Johnson Philippa J. 
Published: August 2024

Abstract
There is increasing reliance on magnetic resonance imaging (MRI) techniques in both research and clinical settings. However, few standardized methods exist to permit comparative studies of brain pathology and function. To help facilitate these studies, we have created a detailed, MRI-based white matter atlas of the canine brain using diffusion tensor imaging. This technique, which relies on the movement properties of water, permits the creation of a three-dimensional diffusivity map of white matter brain regions that can be used to predict major axonal tracts. To generate an atlas of white matter tracts, thirty neurologically and clinically normal dogs underwent MRI imaging under anesthesia. High-resolution, three-dimensional T1-weighted sequences were collected and averaged to create a population average template. Diffusion-weighted imaging sequences were collected and used to generate diffusivity maps, which were then registered to the T1-weighted template. Using these diffusivity maps, individual white matter tracts—including association, projection, commissural, brainstem, olfactory, and cerebellar tracts—were identified with reference to previous canine brain atlas sources. To enable the use of this atlas, we created downloadable overlay files for each white matter tract identified using manual segmentation software. In addition, using diffusion tensor imaging tractography, we created tract files to delineate major projection pathways. This comprehensive white matter atlas serves as a standard reference to aid in the interpretation of quantitative changes in brain structure and function in clinical and research settings.
Incidental learning of predictive temporal context within cortical representations of visual shape
Authors: Kakaei Ehsan , Braun Jochen 
Published: August 2024

Abstract
Objective: Incidental learning of spatiotemporal regularities and consistencies—also termed ‘statistical learning’—may be important for discovering the causal principles governing the world. We studied statistical learning of temporal structure simultaneously at two time-scales: the presentation of synthetic visual objects (3 s) and predictive temporal context (30 s) in the order of appearance of such objects.
Methods: Visual objects were complex and rotated in three dimensions about varying axes. Observers viewed fifteen (15) objects recurring many times each, intermixed with other objects that appeared only once, while whole-brain BOLD activity was recorded. Over three successive days, observers grew familiar with the recurring objects and reliably distinguished them from others. As reported elsewhere (Kakaei & Braun, 2024), representational similarity analysis (RSA) of multivariate BOLD activity revealed 124 ‘object-selective’ brain parcels with selectivity for recurring objects, located mostly in the ventral occipitotemporal cortex and the parietal cortex.
Main results: Here, we extend RSA to the representation of predictive temporal context, specifically “temporal communities” formed by objects that tended to follow each other. After controlling for temporal proximity, we observed 27 ‘community-sensitive’ brain parcels, in which pairwise distances between multivariate responses reflected community structure, either positively (smaller distances within than between communities) or negatively (larger distances within). Among object-selective parcels, 11 parcels were positively community-sensitive in the primary visual cortex (2 parcels), the ventral occipital, lingual, or fusiform cortex (8 parcels), and the inferior temporal cortex (1 parcel). Among non-object-selective parcels, 12 parcels were negatively community-sensitive in the superior, middle, and medial frontal cortex (6 parcels), the insula (2 parcels), the putamen (1 parcel), and in the superior temporal or parietal cortex (3 parcels).
Conclusion: We conclude that cortical representations of object shape and of predictive temporal context are largely coextensive along the ventral occipitotemporal cortex.
Lettrism as Implicit Philosophy in 10th-century Jewish and Muslim Creation Theories
Authors: Sartell Elizabeth 
Published: August 2024

Abstract
This article presents a comparative reading of two 10th-century Islamicate lettrist works: Kitāb Khawāṣṣ al-ḥurūf by Ibn Masarra and a commentary on the Sefer Yetsirah by Saʿadia Gaon. Close analysis of both treatises emphasizes that philosophy coexists with other ways of knowing in lettrist theories. While some lettrist authors overtly employ a philosophical structure, this paper argues that others reference and re-interpret philosophical concepts (such as primordial elements and prime matter) implicitly within their work. Through reading these texts in conversation, I suggest that a framework of “implicit philosophy” creates space for lettrism within the domain of philosophy and science, while also acknowledging the intertwining aspects of mysticism, esoterism, and occultism that weave both within and beyond the realm of philosophy. Thinking in terms of implicit philosophy opens up new ways of understanding and contextualizing lettrist works, both as individual texts and as constituents of a broader Islamicate lettrist milieu.
Seasonal Forecast of Two-Meter Temperature and Precipitation in Tanzania: A Hybrid Cluster and Point-by-Point Machine Learning Approach
Authors: Sansonnet Camille , Schaeffer Michiel , Baarsch Florent 
Published: August 2024

Abstract
In seasonal weather forecasting, the exact location within a study area determines the relationship between local predicted variables and global predictors. Both dynamic models and machine learning approaches that define models for single grid points can determine these relationships with high spatial granularity, but at high computational cost. To avoid the latter, clustering of predicted variables is often used in machine learning approaches, which however sacrifices geographical resolution. In this paper, we present a machine learning approach that is a hybrid between gridpoint and cluster-based approaches (finres_S2S). This approach preserves geographical resolution, but at low computational cost, and is tested for monthly 2-m temperature (2T) and precipitation (TP) in Tanzania and for a lead time of up to 6 months. The finres_S2S approach has a number of advantages over both the cluster and point approaches, including that of obtaining good results compared to a dynamic model. We find that the dominant predictors for the application area are associated with El Niño–Southern Oscillation, the Madden–Julian oscillation, and the Indian Ocean dipole.

Significance Statement
Seasonal forecasting of atmospheric parameters is important in various fields including agriculture. Machine learning makes it possible to forecast at lower computational costs than dynamic models. This advantage is even more important in certain regions of the world. The hybrid model developed here (finres_S2S) allows seasonal forecasting with a spatial resolution equal to that of ERA5 data and a low cost in calculation time. The model is tested over Tanzania, and the seasonal forecast scores outperform those of ECMWF. The development of the use of machine learning in seasonal forecasting seems to provide a complementary response to dynamic models, and research efforts in this direction should be pursued.
Anti-SARS-CoV-2 mRNA vaccination among patients living with SLE in Sweden: Coverage and clinical effectiveness
Authors: Mageau Arthur , Simard Julia F , Svenungsson Elisabet , Arkema Elizabeth V 
Published: August 2024

Objectives To describe the uptake of anti-SARS-CoV2 vaccination in 2021 and investigate vaccine effectiveness in systemic lupus erythematosus (SLE) patients in Sweden. Methods The cumulative incidence of first anti-SARS-CoV2 vaccination was estimated among SLE patients from the Swedish National Patient Register and matched comparators living in Sweden on January 1, 2021. To assess vaccine effectiveness, we included the individuals who received two doses of anti-SARS-CoV2 mRNA vaccines before year 2022, with no COVID-19 diagnosis code before the 2nd vaccine dose. Hospitalization rates with COVID-19 as main diagnosis during the year after second dose were compared between SLE patients and comparators in multivariable-adjusted marginal Cox models, overall and stratified by immunosuppressive treatment received during the year before second vaccine dose. Results Vaccination uptake was similar between SLE patients and comparators. By December 2021, 9% of both SLE and comparators had not received any vaccine doses. Among 5585 SLE patients and 37,102 comparators, 11 COVID-19 hospitalizations in the SLE group and 20 in the comparators occurred. SLE was associated with a higher risk of COVID-19 hospitalization (HR = 3.47, 95%CI 1.63-7.39). The HR was higher for immunosuppressive-treated SLE (7.03 95%CI 3.00-16.46) than for immunosuppressive-untreated (1.50 95%CI 0.34-6.60). Vaccination of immunosuppressive-untreated SLE patients had similar effectiveness as comparators. Conclusion Anti-SARS-CoV2 vaccination coverage was similar between SLE patients and the general population in Sweden. Even though the incidence of post-vaccination COVID-19 hospitalization was very low, vaccine effectiveness was diminished in SLE patients compared to the general population and lowest in those treated with immunosuppressants.