bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blood DNA methylomic signatures associated with CSF biomarkers of Alzheimer's disease in the EMIF‐AD study
Authors: Smith Rebecca G. , Pishva Ehsan , Kouhsar Morteza , Imm Jennifer , Dobricic Valerija , Johannsen Peter , Wittig Michael , Franke Andre , Vandenberghe Rik , Schaeverbeke Jolien , Freund‐Levi Yvonne , Frölich Lutz , Scheltens Philip , Teunissen Charlotte E. , Frisoni Giovanni , Blin Olivier , Richardson Jill C. , Bordet Régis , Engelborghs Sebastiaan , de Roeck Ellen , Martinez‐Lage Pablo , Altuna Miren , Tainta Mikel , Lleó Alberto , Sala Isabel , Popp Julius , Peyratout Gwendoline , Winchester Laura , Nevado‐Holgado Alejo , Verhey Frans , Tsolaki Magda , Andreasson Ulf , Blennow Kaj , Zetterberg Henrik , Streffer Johannes , Vos Stephanie J. B. , Lovestone Simon , Visser Pieter Jelle , Bertram Lars , Lunnon Katie 
Published: August 2024

AbstractINTRODUCTIONWe investigated blood DNA methylation patterns associated with 15 well‐established cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) pathophysiology, neuroinflammation, and neurodegeneration.METHODSWe assessed DNA methylation in 885 blood samples from the European Medical Information Framework for Alzheimer's Disease (EMIF‐AD) study using the EPIC array.RESULTSWe identified Bonferroni‐significant differential methylation associated with CSF YKL‐40 (five loci) and neurofilament light chain (NfL; seven loci) levels, with two of the loci associated with CSF YKL‐40 levels correlating with plasma YKL‐40 levels. A co‐localization analysis showed shared genetic variants underlying YKL‐40 DNA methylation and CSF protein levels, with evidence that DNA methylation mediates the association between genotype and protein levels. Weighted gene correlation network analysis identified two modules of co‐methylated loci correlated with several amyloid measures and enriched in pathways associated with lipoproteins and development.DISCUSSIONWe conducted the most comprehensive epigenome‐wide association study (EWAS) of AD‐relevant CSF biomarkers to date. Future work should explore the relationship between YKL‐40 genotype, DNA methylation, and protein levels in the brain.Highlights
Blood DNA methylation was assessed in the EMIF‐AD MBD study.
Epigenome‐wide association studies (EWASs) were performed for 15 Alzheimer's disease (AD)–relevant cerebrospinal fluid (CSF) biomarker measures.
Five Bonferroni‐significant loci were associated with YKL‐40 levels and seven with neurofilament light chain (NfL).
DNA methylation in YKL‐40 co‐localized with previously reported genetic variation.
DNA methylation potentially mediates the effect of single‐nucleotide polymorphisms (SNPs) in YKL‐40 on CSF protein levels.
The moderating role of information processing speed in the relationship between brain remodeling and episodic memory in amnestic mild cognitive impairment
Authors: Ma Jie , Lu Juan‐Juan , Wu Jia‐Jia , Xiang Yun‐Ting , Zheng Mou‐Xiong , Hua Xu‐Yun , Xu Jian‐Guang 
Published: August 2024

AbstractINTRODUCTIONThe role of information processing speed (IPS) on relationships between episodic memory (EM) and central remodeling features in amnestic mild cognitive impairment (aMCI) was investigated.METHODSNeuropsychological evaluations and multimodal magnetic resonance imaging were performed on 48 patients diagnosed with aMCI and 50 healthy controls (HC). Moderation models explored the moderating effect of IPS on associations between EM and imaging features at single‐region, connectivity, and network levels.RESULTSIPS significantly enhanced the positive correlations between recall and cortical thickness of left inferior temporal gyrus. IPS also notably amplified negative correlations between recognition and functional connectivity (FC) of left inferior parietal lobe and right occipital, as well as between recall/recognition and nodal clustering coefficient of left anterior cingulate cortex.DISCUSSIONIPS functioned as a moderator of associations between recall and neuroimaging metrics at the “single region‐connectivity‐network” level, providing new insights for cognitive rehabilitation in aMCI patients.Highlights
aMCI patients exhibited brain functional and structural remodeling alterations.
IPS moderated relations between episodic memory and brain remodeling metrics.
Therapy targeted at IPS can be considered for improving episodic memory in aMCI.
Luminescent TiO2 nanoparticles synthesized from Mollugo Oppositifolia and Trianthema Portulacastrum for dye degradation, antimicrobial and antioxidant properties
Authors: Sampathkumar Natarajan , Swetharanyam Aanthaparavasar , Arul Velusamy , Jayakumar Seenan , Mutharaian Velankadu Natrayan , Devanesan Sandhanasamy , Mythili R. , Balasankar Athinarayanan , Nivetha Sherlin 
Published: August 2024

AbstractIn modern times, nanoparticles have materialized as indispensable things in contemporary medicine, with a variety of uses in clinical, drug and gene conveyance. In the present study, TiO2 nanoparticles (NPs) prepared from the leaf extracts of Mollugooppositifolia and Trianthema portulacastrum were compared with the chemical TiO2‐NPs for antibacterial and antioxidant activities and environment‐friendly nature through various tools like the UV‐visible, X‐ray diffraction with the aid of other analytical techniques like HR‐TEM, Fourier transform infrared (FT‐IR) and photoluminescence spectroscopic techniques. The morphology of green TiO2‐NPs is found to be spherical, which is supported by HR‐TEM images. FT‐IR analyses and X‐ray diffraction data ensure that the polycrystalline characters of TiO2‐NPs alike to the presence of metal oxide. TiO2‐NPs showed a possible photocatalytic activity for the ruin of acid black 1 dye after disclosure to sunlight. The chemical and green methods of TiO2‐NPs have acid black 1 dye decomposition rates of 86.66% and 94.33%, respectively. The synthesized TiO2‐NPs are also assessed for antimicrobial and antioxidant activities. Green TiO2‐NPs exhibit antibacterial activity against Pseudomonas aeruginosa (17 + 0.56 mm) and Staphylococcus aureus (16 + 0.24 mm) at concentrations as low as 100 μL. The green TiO2‐NPs showed high inhibition of DPPH I radical (50 μg/m) at 95.17 ± 21. Therefore, TiO2‐NPs represent eco‐friendly properties that aid in the degradation of dyes due to their antioxidant activity.
Religion and spirituality in therapeutic training in the UK: A survey of current and recent trainees
Authors: Hunt Jane 
Published: August 2024

AbstractBackgroundResearch indicates counsellors and psychotherapists receive little training around working with clients who present with religious or spiritual issues and feel unprepared to work with these clients.AimsThis paper presents part of the findings from an online survey that aimed to explore how trainee and newly qualified counsellors and psychotherapists, who identify as religious or spiritual, experienced undertaking therapeutic training in the UK.MethodThis online survey collected data on how much training participants received on their courses in religion/spirituality, how this training was delivered, how satisfied they were with their training, their knowledge base and skills around religion/spirituality, and what areas relating to religion/spirituality participants would like to see incorporated into therapeutic training. The survey data were analysed using descriptive statistics and thematic analysis.ResultsOver half of the participants received no training in this area, with a further third receiving minimal input. Participants reported low satisfaction rates with training received unless integrated throughout their course and identified specific knowledge gaps around religious/spiritual literacy, therapeutic skills, and awareness of religion and mental health research. Participants wanted more input on religion/spirituality in the training syllabus to increase their knowledge base and therapeutic competences.ConclusionThis research employed a non‐randomised sample, which limits the generalisability of these findings to a wider training population. Survey participants were also a highly religious/spiritual group, with 87% indicating they engaged in weekly religious/spiritual practices. Participants identified as Christian and White, and reported receiving person‐centred or integrative training.
Ammonium crossover as a function of membrane type and operating conditions in flow cells for ammonia synthesis and water treatment applications
Authors: Bi Wei , Bao Wenbo , Gyenge Elöd , Wilkinson David P. 
Published: August 2024

AbstractElectrochemical flow cells are promising designs for both ammonium () electrosynthesis from dinitrogen and removal/recovery from wastewater. The crossover is undesirable for electrosynthesis but is favourable for removal. The crossover is investigated herein under different current densities, concentrations, and feed locations using cation‐exchange (Nafion N112, N350) and anion‐exchange (Sustainion X37‐50) membranes and microporous diaphragms (Celgard 3400, 3500, and 5550). For Nafion N112, the crossover from catholyte to anolyte decreases with higher concentrations from 81.9 ± 4.7% at 1 ppm to 10.7 ± 0.7% at 3400 ppm. At a constant concentration, increasing the current density leads to more intense electrolyte pH polarization, which leads to volatilization in favour of recovery up to 78.1 ± 1.1% at a cathode superficial current density of −10 A m−2. When comparing the recovery efficiency, the cathode‐ and symmetric fed operations were outperformed by the anode‐fed mode for 3400 ppm due to the equilibrium that buffers the pH change. For Celgard diaphragms, modest crossover (<5%) was only demonstrated at low current densities (≤−1 A m−2), but the separation was compromised by the bulk electrolyte transport through micropores and electrolysis‐induced pH polarization, highlighting future needs to develop and rigorously verify separators toward electrosynthesis.
Feasibility of structuring electronic health record data to facilitate real‐world data research: ICAREdata methods applied to multicenter cancer clinical trials
Authors: George Suzanne , Campbell Nancy , Hillman Shauna L. , Harlos Elizabeth S. , Stein David W. J. , Chan Miranda Y. , Chow Selina L. , Elrahi Cassandra L. , Quina Andre C. , Kokolus Maeve C. , Casagni Michelle D. , Weiss Matthias , Anderson Daniel M. , Stadler Walter M. , Hoff Olivia C. , Rivera Donna R. , Kluetz Paul G. , Mandrekar Sumithra J. , Piantadosi Steven 
Published: August 2024

AbstractBackgroundThe use of electronic health record (EHR) data for research is limited by a lack of structure and a standard data model. The objective of the ICAREdata (Integrating Clinical Trials and Real‐World Endpoints Data) project was to structure key research data elements in EHRs using a minimal Common Oncology Data Elements (mCODE) data model to extract and transmit data.MethodsThe ICAREdata project captured two EHR data elements essential to clinical trials: cancer disease status and treatment plan change. The project was implemented in clinical sites participating in Alliance for Clinical Trials in Oncology trials. Data were extracted from EHRs and sent by secure Fast Healthcare Interoperability Resource messaging (a standard for exchanging EHRs) to a database. Selected elements were compared with corresponding data from the trial's electronic data capture (EDC) system, Medidata Rave.ResultsBy December 2023, data were extracted and transmitted from 10 sites for 35 patients, involving 367 clinical encounters across 15 clinical trials. Data through March 2023 demonstrated that concordance for the elements treatment plan change and cancer disease status was 79% and 34%, respectively. When disease evaluation was reported by both EHR and EDC (n = 15), there was 87% agreement on cancer disease status.ConclusionsDocumentation, extraction, and aggregation of structured data elements in EHRs using mCODE and ICAREdata methods is feasible in multi‐institutional cancer clinical trials. EDC as a reference data set allowed assessment of the completeness of EHR data capture. Future initiatives will focus on elements with shared definitions in clinical and research environments and efficient workflows.Plain Language Summary

Clinical trials use electronic case report forms to report data, and data must be manually entered on these forms, which is costly and time consuming.
ICAREdata methods use structured, organized data from clinical trials that can be more easily shared instead having to enter free text into electronic health records.
Flexible Coordination of SacNac Ligands in Iridium Complexes and their Application to Catalytic Hydroboration
Authors: Rangel‐Garcia Jesus , E. Rivas Christopher , González‐García Gerardo , Campos Jesús , Serrano Oracio , Cristobal Crispin 
Published: August 2024

AbstractHerein, we report the synthesis and characterization of a small family of Ir(I) and Ir(III) complexes supported by β‐thioketoiminates (SacNac) ligands. All complexes were fully characterized by IR, 1D and 2D NMR, and Elemental Analysis (e.a.) experiments. X‐ray diffraction studies were carried out to corroborate the structure of compounds [Ir(cod)(SacNac)] (1) (cod=1,5‐cyclooctadiene), [Ir(dmb)(SacNac)] (2) (dmb=2,3‐dimethyl‐1,3‐butadiene) and [IrCp*(SacNac‐H)(Cl)2] (8) (Cp*=pentamethyl‐cyclopentadienyl). Complexes 1 and 2 are Ir(I) species and have square‐planar geometry in solid state, with bond angles and distances that suggest semi‐aromaticity in the six‐membered ring. To the best of our knowledge, we report the first mono‐coordination mode of a SacNac ligand via sulfur atom in complex 8. Also, we report the first application of iridium‐SacNac complexes as catalytic precursors in hydroboration reactions, where Ir(III) species give the best results.
Connecting Cell Structure and Current‐Dependent Environment Changes in CO2 Electrolysis to GDE Operation Regimes and Multi‐Cell Interaction
Authors: Martens Christina , Quentmeier Maximilian , Schmid Bernhard , Tempel Hermann , Eichel Rüdiger‐A. 
Published: August 2024

ABSTRACTConsecutive development of materials, components, and ultimately, devices does not appear to be a promising strategy in CO2 electroreduction because maintaining comparability and transferring results between idealized and application‐oriented systems proves challenging. A modular cell design and tracking cell conditions via sensors may be a solution. We displayed a strategy to characterize gas diffusion electrode operating regimes in a flow cell with regard to different current density ranges, as well as the impact of the flow gap design. We revealed strong interdependencies between cell components, their functions as well as individual cells when integrated into a stack. Expanding the scope and resolution of experimental data made new information on the change of system parameters in flow cells accessible.
Performance of a Simplified Computational Fluid Dynamics Model for a Phase Change Material–Water Finned Heat Exchanger Under Different Orientations
Authors: Gallero Francisco Javier González , Siles Gabriel González , Maestre Ismael Rodríguez , Blázquez Juan Luis Foncubierta , Pérez‐Lombard Luis 
Published: August 2024

ABSTRACTThe prevalent numerical models for simulating axially finned heat exchangers with phase change materials (PCMs) and water as the heat transfer fluid rely on computational fluid dynamics (CFD) techniques, with a primary focus on phase change modeling. However, the computational demands of these models, incorporating phase change effects and resolving PCM movement in the liquid state, are substantial. From experiments suggesting that conduction in the solidified PCM around the finned tube dominates heat transfer during the heat discharge process, this article introduces a simplified CFD‐based model in which convective flow of the PCM is neglected. The model is experimentally validated using a 1‐m‐long axially finned heat exchanger prototype with four fins, recording temperatures under different water flow rates and orientations (horizontal and vertical). Results show that the proposed model predicts outlet water temperature satisfactorily, with absolute errors below 1.0°C and 2.2°C for the horizontal and vertical orientations, respectively. Additionally, the model can capture the temperature trend inside the PCM for the horizontal orientation.
AIoT based sentiment analysis via multi‐scale context perception to enhance linguistic teaching
Authors: Li Haiyan , Wu Guihua 
Published: August 2024

AbstractWith the rapid development of the Internet of Things (IoT) and artificial intelligence technology, real‐time text sentiment analysis plays an important role in online education. Due to the limited resources of clients, existing deep networks cannot be directly deployed in the edge node. In addition, deep convolutional networks cannot fully utilize contextual information. In order to resolve these issues, this paper proposes a multi‐scale context‐aware text sentiment analysis system based on cloud computing, in which a bidirectional long short‐term memory network (BiLSTM) model is deployed in the cloud server. The BiLSTM model can fully explore the contextual feature information of the text stream in online education. The real‐time text data are collected through terminal nodes, such as pad or computer, to send the cloud server. The experiments utilize three public text datasets to simulate the input of terminal nodes. The results show that the proposed system shows better accuracy than previous models and can return the emotional status in time.
Clear Cell Renal Cell Carcinoma: Characterizing the Phenotype of Von Hippel–Lindau Mutation Using MRI
Authors: Bai Xu , Peng Cheng , Liu Baichuan , Zhou Shaopeng , Guo Huiping , Hao Yuwei , Liu Haili , Chen Yijian , Liu Xin , Ning Xueyi , Ma Yuanhao , Zhao Jian , Li Lin , Ye Huiyi , Ma Xin , Wang Haiyi 
Published: August 2024

BackgroundThe von Hippel–Lindau (VHL) mutation is an important alteration in clear cell renal cell carcinoma (ccRCC); however, its imaging phenotype remains unclear.PurposeTo investigate whether MRI features can reflect the VHL mutation status.Study TypeRetrospective.Field Strength/Sequence3 T/fast spin echo T2‐weighted, spin‐echo echo planar diffusion‐weighted, gradient recalled echo T1‐weighted, gradient recalled echo chemical‐shift T1‐weighted, and contrast‐enhanced gradient recalled echo T1‐weighted sequences.PopulationOne hundred five patients with ccRCC who underwent preoperative contrast‐enhanced MRI and subsequent genomic sequencing: 59 consecutive patients from our institution (38 [64.41%] with VHL mutations) formed a training cohort, and 46 from The Cancer Genome Atlas (TCGA) database (24 [52.17%] with VHL mutations) formed an independent test cohort.AssessmentTwo radiologists, with 23 and 33 years of experience respectively, jointly evaluated the semantic MRI features of the primary lesion in ccRCCs to propose potential features related to VHL mutations in both cohorts. Three additional readers, with 5, 7, and 10 years of experience respectively, independently reviewed all lesions to assess the interobserver agreement of MRI features. A VHL mutational likelihood score (VHL‐MULIS) system was constructed using the training cohort and validated using the independent test cohort.Statistical TestsFisher's test or chi‐square test, t‐test or Mann–Whitney U test, logistic regression, Cohen's kappa (κ), area under the receiver operating characteristic curve (AUC). A two‐sided P value <0.05 was considered statistically significant.ResultsIn both the local and public cohorts, T2‐weighted signal intensity and presence of microscopic fat from primary lesions were significantly associated with VHL mutation status. The VHL‐MULIS incorporated maximum diameter, T2‐weighted signal intensity, and presence of microscopic fat in the training cohort and demonstrated promising diagnostic ability (AUC, 0.82; sensitivity, 0.79; specificity, 0.82) and substantial interobserver agreement (κ, 0.787) in the test cohort.Data ConclusionThe VHL mutation exhibited a distinct MRI phenotype. Integrating multiple semantic MRI features has potential to reflect the mutation status in patients with ccRCC.Evidence Level3Technical EfficacyStage 2
Small wetland‐fringed estuaries deliver disproportionately large carbon loads to the ocean
Authors: Reithmaier Gloria M. S. , Maher Damien T. , Holloway Ceylena , Correa Rogger E. , Santos Isaac R. 
Published: August 2024

AbstractPrevious estimates of dissolved carbon export from estuaries focused on larger systems in the Northern Hemisphere, with little data for smaller tropical estuaries often fringed by intertidal wetlands. We investigated lateral export (outwelling) and transformation rates of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), and total alkalinity (TA) as well as CO2 emissions from 18 diverse Australian estuaries. Most estuaries acted as net sources for DOC (72%), DIC (83%), and TA (50%). On average, estuaries exported 120 ± 55 and 344 ± 150 mmol m−2 catchment yr−1 DOC and DIC, respectively. Estuarine CO2 emissions (33 ± 20 mmol m−2 estuary d−1) equalled 13% ± 16% of the dissolved lateral carbon export. Carbon export positively correlated with runoff, rain, and intertidal wetland cover, and negatively correlated with estuary and catchment area. Mangroves and saltmarshes cover < 1% of all catchments but can contribute 46% ± 11% of the DOC and 67% ± 13% of the DIC exported to the ocean. Upscaling our observations, Australian estuaries export 2.8 ± 2.2 TgC yr−1 DOC, 8.1 ± 6.2 TgC yr−1 DIC, and 0.7 ± 0.6 Tmol yr−1 TA. Small catchments (< 10 ha) making up 70% of all estuaries and accounting for 18% of the total freshwater flow provided 27% to the total dissolved carbon export. Overall, small tropical estuaries fringed by highly productive intertidal wetlands are hotspots of carbon exports and should be considered in marine carbon budgets.
Improving access to first‐line treatment for pediatric obesity: Lessons from the dissemination of SmartMoves
Authors: Finn Emily Benjamin , Keller Caroline V. , Gowey Marissa A. , Savoye Mary , Samuels Stephanie , Fleisch Abby F. , Rogers Victoria W. , Grey Margaret , Damschroder Laura J. , Beck Amy , Sharifi Mona 
Published: August 2024

AbstractObjectiveThe increasing prevalence of and inequities in childhood obesity demand improved access to effective treatment. The SmartMoves curriculum used in Bright Bodies, a proven‐effective, intensive health behavior and lifestyle treatment (IHBLT), was disseminated to ≥30 US sites from 2003 to 2018. We aimed to identify barriers to and facilitators of IHBLT implementation/sustainment.MethodsWe surveyed and interviewed key informants about experiences acquiring/implementing SmartMoves. In parallel, we analyzed and then integrated survey findings and themes from interviews using the constant comparative method.ResultsParticipants from 16 sites (53%) completed surveys, and 12 participants at 10 sites completed interviews. The 11 sites (63%) that implemented SmartMoves varied in both use of training opportunities/materials and fidelity to program components. In interviews, demand for obesity programming, organizational priorities, and partnerships facilitated implementation. Seven sites discontinued SmartMoves prior to the COVID‐19 pandemic. Funding insecurity and insufficient staffing emerged as dominant barriers to implementation/sustainment discussed by all interviewees, and some also noted participants' competing demands and the program's fit with population as challenges.ConclusionsSystem‐ and organizational‐level barriers impeded sustainment of an evidence‐based IHBLT program. Adequate funding could enable sufficient staffing and training to promote fidelity to the intervention's core functions and adaptation to fit local populations/context.