bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real‐world candidacy to mavacamten in a contemporary hypertrophic obstructive cardiomyopathy population
Authors: Bertero Edoardo , Chiti Chiara , Schiavo Maria Alessandra , Tini Giacomo , Costa Paolo , Todiere Giancarlo , Mabritto Barbara , Dei Lorenzo‐Lupo , Giannattasio Alessia , Mariani Davide , Lofiego Carla , Santolamazza Caterina , Monda Emanuele , Quarta Giovanni , Barbisan Davide , Mandoli Giulia Elena , Mapelli Massimo , Sguazzotti Maurizio , Negri Francesco , De Vecchi Simona , Ciabatti Michele , Tomasoni Daniela , Mazzanti Andrea , Marzo Francesca , de Gregorio Cesare , Raineri Claudia , Vianello Pier Filippo , Marchi Alberto , Biagioni Giulia , Insinna Eleonora , Parisi Vanda , Ditaranto Raffaello , Barison Andrea , Giammarresi Andrea , De Ferrari Gaetano Maria , Priori Silvia , Metra Marco , Pieroni Maurizio , Patti Giuseppe , Imazio Massimo , Perugini Enrica , Agostoni Piergiuseppe , Cameli Matteo , Merlo Marco , Sinagra Gianfranco , Senni Michele , Limongelli Giuseppe , Ammirati Enrico , Vagnarelli Fabio , Crotti Lia , Badano Luigi , Calore Chiara , Gabrielli Domenico , Re Federica , Musumeci Giuseppe , Emdin Michele , Barbato Emanuele , Musumeci Beatrice , Autore Camillo , Biagini Elena , Porto Italo , Olivotto Iacopo , Canepa Marco 
Published: December 2023

AimsIn the EXPLORER‐HCM trial, mavacamten reduced left ventricular outflow tract obstruction (LVOTO) and improved functional capacity of symptomatic hypertrophic obstructive cardiomyopathy (HOCM) patients. We sought to define the potential use of mavacamten by comparing real‐world HOCM patients with those enrolled in EXPLORER‐HCM and assessing their eligibility to treatment.Methods and resultsWe collected information on HOCM patients followed up at 25 Italian HCM outpatient clinics and with significant LVOTO (i.e. gradient ≥30 mmHg at rest or ≥50 mmHg after Valsalva manoeuvre or exercise) despite pharmacological or non‐pharmacological therapy. Pharmacological or non‐pharmacological therapy resolved LVOTO in 1044 (61.2%) of the 1706 HOCM patients under active follow‐up, whereas 662 patients (38.8%) had persistent LVOTO. Compared to the EXPLORER‐HCM trial population, these real‐world HOCM patients were older (62.1 ± 14.3 vs. 58.5 ± 12.2 years, p = 0.02), had a lower body mass index (26.8 ± 5.3 vs. 29.7 ± 4.9 kg/m2, p < 0.0001) and a more frequent history of atrial fibrillation (21.5% vs. 9.8%, p = 0.027). At echocardiography, they had lower left ventricular ejection fraction (LVEF, 66 ± 7% vs. 74 ± 6%, p < 0.0001), higher left ventricular outflow tract gradients at rest (60 ± 27 vs. 52 ± 29 mmHg, p = 0.003), and larger left atrial volume index (49 ± 16 vs. 40 ± 12 ml/m2, p < 0.0001). Overall, 324 (48.9%) would have been eligible for enrolment in the EXPLORER‐HCM trial and 339 (51.2%) for treatment with mavacamten according to European guidelines.ConclusionsReal‐world HOCM patients differ from the EXPLORER‐HCM population for their older age, lower LVEF and larger atrial volume, potentially reflecting a more advanced stage of the disease. About half of real‐world HOCM patients were found eligible to mavacamten.
Construction of 2‐Methylindoles Using Solid Calcium Carbide as a Substitute for Gaseous Acetylene
Authors: Wang Zhiqiang , Liu Zhenrong , Wang Botao , Li Zheng 
Published: December 2023

AbstractAn efficient method for the construction of 2‐methyl‐1‐sulfonylindoles and 2,3‐dimethyl‐1‐sulfonylindoles using solid calcium carbide as an alkyne source and o‐sulfonamidobenzaldehyde hydrazones or o‐sulfonamidoacetophenone hydrazones as starting materials is described. This protocol has the salient feature of the use of an inexpensive, abundant and easy‐to‐handle solid alkyne source, effectively avoiding the use of flammable and explosive gaseous acetylene as an original alkyne source. Noble‐metal‐free conditions, wide substrate scope, high yield, and simple workup procedures are advantages of this method. The transformation can also be carried out on a gram scale.
A Comparative Biodegradation Study to Assess the Ultimate Fate of Novel Highly Functionalized Hydrofluoroether Alcohols in Wastewater Treatment Plant Microcosms and Surface Waters
Authors: Folkerson Andrew P. , Mabury Scott A. 
Published: December 2023

Abstract
Per- and polyfluoroalkyl substances (PFAS) are a class of chemicals present in a wide range of commercial and consumer products due to their water-repellency, nonstick, or surfactant properties, resulting from their chemical and thermal stability. This stability, however, often leads to persistence in the environment when they are inevitability released. We utilized microbial microcosms from wastewater treatment plant (WWTP) sludge to determine how employing different functional groups such as heteroatom linkages, varying chain lengths, and hydrofluoroethers (HFEs) will impact the ultimate fate of these novel PFAS structures. A suite of five novel fluorosurfactant building blocks (F7C3OCHFCF2SCH2CH2OH (FESOH), F3COCHFCF2SCH2CH2OH (MeFESOH), F7C3OCHFCF2OCH2CH2OH (ProFdiEOH), F7C3OCHFCF2CH2OH (ProFEOH), and F3COCHFCF2OCH2CH2OH (MeFdiEOH)) and their select transformation products, were incubated in WWTP aerobic microcosms to determine structure–activity relationships. The HFE alcohol congeners with a thioether (FESOH and MeFESOH) were observed to transform faster than the ether congeners, while also producing second-generation HFE acid products (F7C3OCHFC(O)OH (2H-3:2 polyfluoroalkyl ether carboxylic acid [PFECA]) and F3COCHFC(O)OH (2H-1:2 PFECA). Subsequent biodegradation experiments with 2H-1:2 PFESA and 2H-1:2 PFECA displayed no further transformation over 74 days. Surface water Photofate experiments compared 2H-1:2 PFECA, and 2H-1:2 polyfluorinated ether sulfonate (PFESA) with their fully fluorinated ether acid counterparts, and demonstrated the potential for both HFE acid species to completely mineralize over extended periods of time, a fate that highlights the value of studying novel PFAS functionalization. Environ Toxicol Chem 2024;43:2297–2305. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Individual differences in preschoolers' spatial thinking: Comprehension of dimensional adjectives and their relation to children's performance on non‐verbal spatial tasks
Authors: Odean Rosalie , Abad Carla , Ralph Yvonne , Pruden Shannon M. 
Published: December 2023

AbstractThe current study explores whether individual differences in the dimensional adjectives (e.g., big, tall) children understand, relates to individual differences in two non‐verbal spatial abilities, spatial scaling and mental transformations, in bilingual children. The inclusion of English–Spanish bilingual children broadens the work in this area which has previously focused strictly on English language. Ninety‐two English–Spanish bilingual children between 37.65 and 71.87 months (42 male) participated in the study. Results show number of dimensional adjectives preschool children comprehend utilizing a new interactive, tablet‐based task relates to performance on non‐verbal spatial tasks. This research supports hypothesized relations between spatial language comprehension and spatial abilities, introduces an effective tool for examining spatial language comprehension in young children, and improves generalizability by including a bilingual sample and testing comprehension in both English and Spanish.
Uncertainty analysis and updated user guidance for interspecies correlation estimation models and low toxicity compounds
Authors: Raimondo Sandy , Lilavois Crystal , Nelson Shannon A. 
Published: December 2023

Abstract
Interspecies correlation estimation (ICE) models are log-linear relationships of acute sensitivity between two species that estimate the sensitivity of an untested species from the known sensitivity of a surrogate. As ICE model use increases globally, additional user guidance is required to ensure consistent use across chemicals and applications. The present study expands ICE uncertainty analyses and user guidance with a focus on low toxicity compounds whose acute values (i.e., reported as mg/L) can be greater than those used to develop a model. In these cases, surrogate values may be outside the ICE model domain and require additional extrapolations to predict acute toxicity. We use the extensive, standardized acute toxicity database underlying ICE models to broadly summarize inter-test variability of acute toxicity data as a measure by which model prediction accuracy can be evaluated. Using the data and models found on the USEPA Web-ICE (www3.epa.gov/webice), we created a set of “truncated” models from data corresponding to the lower 75th percentile of surrogate toxicity. We predicted toxicity for chemicals in the upper 25th percentile as both μg/L beyond the model domain and converted to mg/L (i.e., “scaled” value) and compared these predictions with those from cross-validation of whole ICE models and to the measured value. For ICE models with slopes in the range 0.66–1.33, prediction accuracy of scaled values did not differ from the accuracy of the models when data were entered as μg/L within or beyond the model domain. An uncertainty analysis of ICE confidence intervals was conducted and an interval range of two orders of magnitude was determined to minimize type I and II errors when accepting or rejecting ICE predictions. We updated the ICE user guidance based on these analyses to advance the state of the science for ICE model application and interpretation. Integr Environ Assess Manag 2024;20:1554–1565. Published 2023. This article is a U.S. Government work and is in the public domain in the USA.
Key Points
Interspecies correlation estimation (ICE) models estimate acute toxicity and increase biodiversity in toxicity datasets. Interspecies correlation estimation models are validated for low toxicity compounds in which input is beyond model domain and has the same accuracy as traditional model use. User guidance for ICE model applications is updated to include recommendations for model input and confidence intervals. Interspecies correlation estimation models provide robust alternatives to animal test data for data-limited compounds.
Deep learning‐based survival prediction of brain tumor patients using attention‐guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging
Authors: Mazher Moona , Qayyum Abdul , Puig Domenec , Abdel‐Nasser Mohamed 
Published: December 2023

AbstractAutomatic survival prediction of gliomas from brain magnetic resonance imaging (MRI) volumes is an essential step for a patient's prognosis analysis. Radiomics research delivers beneficial feature information from MRI imaging which is substantially required by clinicians and oncologists for predicting disease prognosis for precise surgical treatment and planning. In recent years, the success of deep learning has been vast in the field of medical imaging, and it shows state‐of‐the‐art performance in applications like segmentation, classification, regression, and detection. Therefore, in this paper, we proposed a collective method using deep learning and radiomics techniques for the survival prediction of brain tumor patients. We first propose a hierarchical channel attention (HAM) module and a multi‐scale‐aware feature enhancement (MSAFE) to efficiently fuse adjacent hierarchical features in the proposed segmentation model. After segmentation, deep/latent features (LCNN) are extracted from the bottom layer of the proposed segmentation model. Later, we extracted selected radiomics features (histogram, location, and shape) using input images and segmented masks from the proposed segmentation model. Further, the 3D deep learning regressor has been trained for 3D regressor‐based deep feature extraction. We proposed the method of overall survival prediction for the brain tumor patients by combining all the meaningful features including clinical features (age) that also favorably contribute to the survival days prediction for the glioma's patients. To predict the survival days for each patient, the selected features are trained to analyze the performance of various regression techniques like random forest (RF), decision tree (DT), and XGBoost. Our proposed combined feature‐based method achieved the highest performance for survival days prediction over the state‐of‐the‐art methods. We also perform extensive experiments to show the effectiveness of each feature extraction method. The experimental results infer that deep learning‐based features along with radiomic features and clinical features are truly vital paradigms to estimate survival days.
Prototyping an ionization source for non‐engineers
Authors: Knizner Kevan T. , Eisenberg Seth M. , Muddiman David C. 
Published: December 2023

AbstractNovel mass spectrometry (MS) based analytical platforms have enabled scientists to detect and quantify molecules within biological and environmental samples more accurately. Novel MS instrumentation starts as a prototype and, after years of development, can become a commercial product to be used by the larger MS community. Without the initial prototype, many MS‐based instruments today would not be produced. Additionally, biotechnology companies are the main drivers for research, development, and production of novel instruments, but the tools for prototyping instrumentation have never been more accessible. Here, we present a tutorial on prototyping instrumentation through the case study of developing the Next Generation IR‐MALDESI source to show that an engineering degree is not required to design and construct a prototype instrument with modern hardware and software. We discuss the prototyping process, the necessary skills required for efficient prototyping, and information about common hardware and software used within initial prototypes.
Fabrication of composite hydrogels by sonication‐assisted assembly of okara cellulose nanofibers and chitosan: structure and properties
Authors: Wu Changling , McClements David Julian , Ma Bohui , He Zhiping , Wu Fenghua , Zhang Yongzhu , Liu Xingquan , Wang Peng 
Published: December 2023

AbstractBACKGROUNDOkara cellulose is a highly abundant, green, sustainable, and biodegradable polymer with many potential industrial applications. In this study, we fabricated composite hydrogels with okara cellulose nanofibers (CNFs) and chitosan (CH) by hydrating, sonicating, and heating them at 100 °C for 30 min, and then induced their assembly by cooling. The effects of okara CNF (with and without 2,2,6,6‐tetramethylpiperidinyloxy (TEMPO) oxidation) and CH concentration on the structure and properties of the hydrogels was examined, including their microstructure, surface properties, rheological properties, and thermal stability.RESULTSOur results indicate that there was an electrostatic attraction between the anionic okara CNF and cationic CH, which facilitated hydrogel formation. The surface, textural, rheological, and thermal stability properties were better for the composite hydrogels than for the single CH ones, as well as for the CNF that had undergone TEMPO oxidation. For the TC‐CH hydrogels, the contact angle was 39.5°, the interfacial tension was 69.1 mN m−1, and the surface tension was 1.44 mN m−1.CONCLUSIONIn this study, the novel hydrogels developed may be useful as a soft material in a range of applications in foods, supplements, health care products, cosmetics, and drugs. © 2023 Society of Chemical Industry.
Enhancement of functional properties, digestive properties, and in vitro digestion product physiological activity of extruded corn gluten meal by enzymatic modification
Authors: Huang Pimiao , Zhao Wenke , Cai Lei , Liu Ying , Wu Jing , Cui Chun 
Published: December 2023

AbstractBACKGROUNDEnzymatic modification is an effective means of improving the functional properties, digestive properties, and in vitro digestion product physiological activity of proteins, thus significantly expanding protein uses in various food applications.RESULTSIn this study, the addition of chymotrypsin (CT) at pH 9.0 and 11.0 was found to significantly improve the functional properties (solubility, foaming properties, water holding capacity, oil holding capacity, etc.) and digestive properties of extruded corn gluten meal (ECGM). Similar changes were observed when treating ECGM with glutaminase, protein glutaminase, and papain. These changes were likely due to the increase in number of carboxyl groups and the multiple effects of change in protein net charge and conformation caused by enzymatic deamidation. Of note, ECGM deamidated by CT showed the highest degree of deamidation, solubility, and gastrointestinal digestibility at pH 11.0, up to 44.92%, 43.75%, and 82.22%, respectively. In addition, CT‐ECGM digestion product exhibited strong antioxidant activity and potential to promote alcohol metabolism in both a static digestion model and dynamic digestion model, even comparable to commercial corn peptides (CCP), while being inexpensive and of low bitterness compared to CCP. Meanwhile, the physiological activity enhanced as the molecular weight of digestion product decreased with the digested component having strongest activity.CONCLUSIONThis study may promote the application of ECGM as a food component in the food industry or even as a substitute for CCP. © 2023 Society of Chemical Industry.
Environmental enrichment improves growth and fillet quality in rainbow trout
Authors: De la Llave‐Propín Álvaro , Martínez Villalba Andrea , Villarroel Morris , Pérez Concepción , González de Chávarri Elisabeth , Díaz María Teresa , Cabezas Almudena , González Garoz Roberto , De la Fuente Jesús , Bermejo‐Poza Rubén 
Published: December 2023

AbstractBACKGROUNDSome environmental enrichment methods, such as occupational enrichment (OE), can improve fish growth, but little is known about its effects on fillet quality. In this study, we evaluated the effects of OE using underwater currents on different aspects of fillet quality and muscle metabolism in rainbow trout (Oncorhynchus mykiss), before and after a handling procedure (fasting). The trout were placed in groups of 30 in separate tanks in three treatments for 30 days: no artificial currents (CON), randomly fired underwater currents (RFC), and continuous underwater currents (CUC). Additionally, half of the individuals in each treatment were fasted (5 days, 45.2 °C days).RESULTSSlaughter weight, condition factor, and relative growth were lower in CON fish, indicating a positive effect of OE on growth. Rigor mortis, muscle pH, and muscle glycogen levels were similar among treatments, indicating no effect of OE on classical measures of fillet quality. However, significant differences were found regarding fillet colour and muscle enzymes. The fillets of RFC fish were more salmon‐pink in colour, which is favoured by consumers. Also, activity levels of pyruvate kinase and glycogen phosphorylase in muscle were significantly higher in CUC fish, probably due to increased energy demands, as pumps were on continually in that treatment.CONCLUSIONOverall, RFC fish seemed to have received enough stimulation to improve growth while not being excessive in terms of exhausting the animals (avoiding negative effects on muscle metabolism), whereas OE may have provided a hormetic effect, allowing fish to better adjust to fasting. © 2023 Society of Chemical Industry.
Bioinformatics‐based discovery of intervertebral disc degeneration biomarkers and immune‐inflammatory infiltrates
Authors: Song Chao , Zhou Daqian , Cheng Kang , Liu Fei , Cai Weiye , Mei Yongliang , Chen Jingwen , Huang Chenyi , Liu Zongchao 
Published: December 2023

AbstractBackgroundIntervertebral disc degeneration (IVDD) is a common chronic disease in orthopedics, and its molecular mechanisms are still not well explained.AimThis study's objective was to bioinformatics‐based discovery of IVDD biomarkers and immune‐inflammatory infiltrates.Materials and MethodsThe IVDD illness gene collection was gathered from GeneCards, DisGeNet, and gene expression profiles were chosen from the extensive Gene Expression Omnibus database (GSE124272, GSE150408, and GSE153761). The STRING database was used to create a network of protein–protein interactions, while the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) databases were used for functional enrichment analysis. Using hub genes, the immune cell infiltration between IVDD patient samples and control tissues was examined. Finally, quantitative polymerase chain reaction and Western blot experiments were used to verify the expression of hub genes.ResultsA total of 27 differentially expressed hub genes were identified by bioinformatics. According to GO and KEGG analyses, hub genes were prominent in immunological responses, chemokine‐mediated signaling pathways, and inflammatory responses, with the key signaling pathways engaged in cellular senescence, apoptosis, Th1 and Th2 cell differentiation, and Th17 cell differentiation. Immune cell infiltration research revealed that T cells, lymphocytes, B cells, and NK cells were decreased in IVDD patients while monocytes, neutrophils, and CD8 T cells were increased. The expression levels of the senescence hub genes SP1, VEGFA, IL‐6, and the apoptosis key gene CASP3 were considerably greater in the IVDD model group than in the control group, according to in vitro validation.ConclusionIn conclusion, the cellular senescence signaling pathway, the apoptosis signaling pathway, and associated hub genes play significant roles in the development and progression of IVDD, this finding may help direct future research on the senescence signaling route in IVDD.
Harmonizing marine zooplankton trait data toward a mechanistic understanding of ecosystem functioning
Authors: Pata Patrick R. , Hunt Brian P. V. 
Published: December 2023

AbstractCompiling trait information promotes discovery and innovation in using trait‐based approaches in ecology. Various zooplankton trait datasets are stored in unlinked data repositories, in diverse data structures, and have varying levels of complexity. These require standardization and harmonization to allow interoperability and to limit the duplication of efforts in the time‐consuming and error‐prone task of trait compilation. This study aggregated and harmonized 33 zooplankton traits datasets and supplemented these with more than 150 references into a single zooplankton trait database with an initial set of 56 traits for 3535 marine zooplankton species. The database has a long data table structure using the entity‐attribute‐value format and includes taxonomic and ancillary metadata, and data source provenance preserving how the data were originally recorded. The database is stored both at the individual level (Level 1) and as species level means (Level 2). The Level 1 database has 57,615 rows of trait records and the Level 2 database has 14,977 unique trait‐taxon records. We evaluated the coverage of trait data, taxonomic representation, and strategies in filling‐in data gaps. Comparison of trait value estimation approaches identified allometric scaling to be more accurate than taxon‐level generalization and imputation. This centralized and harmonized marine zooplankton trait database aims to be extendable and future‐proof and to promote trait data sharing, FAIR (findable, accessible, interoperable, reusable) data practices, and reproducibility.