bluuebunny/crossref_metadata_2025_split huggingface dataset:
Which older adults do not opt-in to Talking Therapies and why?
Authors: Prosser Rachel , Dosanjh Louisa , Jell Grace , Churchard Alasdair 
Published: May 2024

Abstract
Older adults are under-represented in Talking Therapies (previously named IAPT) services in the UK, a national priority for improvement in the NHS. A Talking Therapies service in the south of England identified that many older adults who were referred did not opt-in to assessment. We aimed to explore the characteristics of these older adults and understand their experiences, to inform recommendations to support them to opt-in to the service in future. First, demographic and referral characteristics were compared for older adults who did and did not opt-in, to explore any that increased odds of not opting-in. Next, surveys and semi-structured interviews were used to investigate older adults’ reasons for not opting-in. Responses were thematically analysed, and themes were categorised using the COM-B model to inform theory-based recommendations. Older age, being from an ethnic minority group, having a previous referral, not being able to receive text messages, and not self-referring (e.g. being referred by GP) all significantly increased the chances of older adults not opting-in. Thematic analysis found that impersonal and confusing processes, as well as older adults’ limited knowledge of Talking Therapies, beliefs about therapy, and physical, cognitive and life changes with age were barriers to opting-in. Several recommendations are made, including ideas to increase accessibility of information, change procedures to improve personal connection, and explore and overcome practical barriers. Improving routine data and feedback collection from people who do not opt-in will be important to inform and evaluate improvements.

Key learning aims

(1)
To recognise that the ongoing issue of under-representation of older adults within Talking Therapies extends beyond barriers to referral.

(2)
To understand demographic and referral characteristics that may increase the likelihood of older adults not opting-in to a Talking Therapies service following referral.

(3)
To understand the experiences of older adults who do not opt-in and the barriers they cite, exploring factors that impacted their capability, opportunity and motivation to opt-in.

(4)
To consider how services could change their procedures, information sharing, and community outreach to better serve older adults.
Reconstructing Glacier Surge Kinematics Using a Numerical Ice‐Flow Model Applied to the Dusty Glacier, St. Elias Mountains, Canada
Authors: Young Erik M. , Flowers Gwenn E. , Jiskoot Hester , Gibson H. Daniel 
Published: May 2024

AbstractLong‐term records of the flow patterns and dynamics of surge‐type glaciers improve our understanding of their underlying dynamic processes, and are critical to better resolve their contribution to a changing cryosphere. We adapt a modeling approach designed to emulate glacier surging and fold kinematics using the full Stokes ice‐flow model Elmer/Ice to simulate surging of the Dusty Glacier, located in the St. Elias Mountains, Canada. We combine distributed mass‐balance and numerical ice‐flow models to reconstruct the fold kinematics of the 2001–2003 surge of the Dusty Glacier by comparing model results to Landsat‐7 and Sentinel‐2 imagery, and assess the sensitivity of centennial‐scale modeled glacier structure to different mass balance and sliding parameterizations. This study demonstrates the feasibility of using the approach to reconstruct the surface structure kinematics of a surge‐type glacier in nature, highlighting its potential application to other surge‐type glaciers and regions.
Spatiotemporal Variations of In Situ Vp/Vs Ratios During the 2019 Ridgecrest Earthquake Sequence Suggest Fault Zone Condition Changes
Authors: Lin Guoqing , Fan Wenyuan 
Published: May 2024

AbstractThe 2019 Mw 7.1 Ridgecrest earthquake was the largest event in California over the past 20 years. The earthquake was preceded by a sequence of foreshocks. However, the physical processes leading to the mainshock remain unclear. Here, we image the ratios of compressional (P)‐ to shear (S)‐wave velocity (Vp/Vs) in the fault zones and examine the spatial and temporal evolution of near‐source material properties during the Ridgecrest earthquake sequence. We find that the Vp/Vs ratios are spatially homogeneous in the rupture zones, indicating a lack of fault‐zone material difference along strike. We identify an anomalously low Vp/Vs ratio fault patch near the mainshock hypocenter before its occurrence, which returned to the background value after the earthquake. This low Vp/Vs ratio suggests fluid overpressure, which may have facilitated the nucleation of the 2019 Ridgecrest mainshock.
Responses of Field‐Aligned Currents and Equatorial Electrojet to Sudden Decrease of Solar Wind Dynamic Pressure During the March 2023 Geomagnetic Storm
Authors: Le Guan , Liu Guiping , Yizengaw Endawoke , Wu Chin‐Chun , Zheng Yihua , Vines Sarah , Buzulukova Natalia 
Published: May 2024

AbstractWe present the observations of field‐aligned currents and the equatorial electrojet during the 23 March 2023 magnetic storm, focusing on the effect of the drastic decrease of the solar wind dynamic pressure occurred during the main phase. Our observations show that the negative pressure pulse had significant impact to the magnetosphere‐ionosphere system. It weakened large‐scale field‐aligned currents and paused the progression of the storm main phase for ∼3 hr. Due to the sudden decrease of the plasma convection after the negative pressure pulse, the low‐latitude ionosphere was over‐shielded and experienced a brief period of westward penetration electric field, which reversed the direction of the equatorial electrojet. The counter electrojet was observed both in space and on the ground. A transient, localized enhancement of downward field‐aligned current was observed near dawn, consistent with the mechanism for transmitting MHD disturbances from magnetosphere to the ionosphere after the negative pressure pulse.
YOD1 protects against MRSA sepsis-induced DIC through Lys33-linked deubiquitination of NLRP3
Authors: Liu Chang , Fan Caihong , Liu Jia , Zhang Shiqi , Tang Huixin , Liu Yashan , Zhang Shengzheng , Wu Qiang , Zhang Jiandong , Qi Zhi , Shen Yanna 
Published: May 2024

AbstractDisseminated intravascular coagulation (DIC) is considered to be the most common and lethal complication of sepsis. NLR-family pyrin domain-containing-3 (NLRP3) inflammasome plays an important role in host defense against microbial pathogens, and its deregulation may cause coagulation cascade and should be strictly managed. Here, we identified the deubiquitinase YOD1, which played a vital role in regulating coagulation in a NLRP3 inflammasome-dependent manner in sepsis induced by methicillin-resistant Staphylococcus aureus (MRSA). YOD1 interacted with NLRP3 to remove K33-linked ubiquitination of NLRP3 based on its deubiquitinating enzyme activity and specifically inhibited expression of NLRP3 as well as activation of NLRP3 inflammasome. Deficiency of YOD1 expression enhanced NLRP3 inflammasome activation and coagulation both in vitro and in vivo. In addition, pharmacological inhibition of the NLRP3 effectively improved coagulation and alleviated organ injury in Yod1−/− mice infected with MRSA. Thus, our study reported that YOD1 is a key regulator of coagulation during MRSA infection, and provided YOD1 as a potential therapeutic target for the treatment of NLRP3 inflammasome-related diseases, especially MRSA sepsis-induced DIC.
Revealing the hidden structure of disordered materials by parameterizing their local structural manifold
Authors: Hardin Thomas J. , Chandross Michael , Meena Rahul , Fajardo Spencer , Giovanis Dimitris , Kevrekidis Ioannis , Falk Michael L. , Shields Michael D. 
Published: May 2024

AbstractDurable interest in developing a framework for the detailed structure of glassy materials has produced numerous structural descriptors that trade off between general applicability and interpretability. However, none approach the combination of simplicity and wide-ranging predictive power of the lattice-grain-defect framework for crystalline materials. Working from the hypothesis that the local atomic environments of a glassy material are constrained by enthalpy minimization to a low-dimensional manifold in atomic coordinate space, we develop a generalized distance function, the Gaussian Integral Inner Product (GIIP) distance, in connection with agglomerative clustering and diffusion maps, to parameterize that manifold. Applying this approach to a two-dimensional model crystal and a three-dimensional binary model metallic glass results in parameters interpretable as coordination number, composition, volumetric strain, and local symmetry. In particular, we show that a more slowly quenched glass has a higher degree of local tetrahedral symmetry at the expense of cyclic symmetry. While these descriptors require post-hoc interpretation, they minimize bias rooted in crystalline materials science and illuminate a range of structural trends that might otherwise be missed.
Relative dispersion ratios following fecal microbiota transplant elucidate principles governing microbial migration dynamics
Authors: Algavi Yadid M. , Borenstein Elhanan 
Published: May 2024

AbstractMicroorganisms frequently migrate from one ecosystem to another. Yet, despite the potential importance of this process in modulating the environment and the microbial ecosystem, our understanding of the fundamental forces that govern microbial dispersion is still lacking. Moreover, while theoretical models and in-vitro experiments have highlighted the contribution of species interactions to community assembly, identifying such interactions in vivo, specifically in communities as complex as the human gut, remains challenging. To address this gap, here we introduce a robust and rigorous computational framework, termed Relative Dispersion Ratio (RDR) analysis, and leverage data from well-characterized fecal microbiota transplant trials, to rigorously pinpoint dependencies between taxa during the colonization of human gastrointestinal tract. Our analysis identifies numerous pairwise dependencies between co-colonizing microbes during migration between gastrointestinal environments. We further demonstrate that identified dependencies agree with previously reported findings from in-vitro experiments and population-wide distribution patterns. Finally, we explore metabolic dependencies between these taxa and characterize the functional properties that facilitate effective dispersion. Collectively, our findings provide insights into the principles and determinants of community dynamics following ecological translocation, informing potential opportunities for precise community design.
Spider-silk-inspired strong and tough hydrogel fibers with anti-freezing and water retention properties
Authors: Wu Shaoji , Liu Zhao , Gong Caihong , Li Wanjiang , Xu Sijia , Wen Rui , Feng Wen , Qiu Zhiming , Yan Yurong 
Published: May 2024

AbstractIdeal hydrogel fibers with high toughness and environmental tolerance are indispensable for their long-term application in flexible electronics as actuating and sensing elements. However, current hydrogel fibers exhibit poor mechanical properties and environmental instability due to their intrinsically weak molecular (chain) interactions. Inspired by the multilevel adjustment of spider silk network structure by ions, bionic hydrogel fibers with elaborated ionic crosslinking and crystalline domains are constructed. Bionic hydrogel fibers show a toughness of 162.25 ± 21.99 megajoules per cubic meter, comparable to that of spider silks. The demonstrated bionic structural engineering strategy can be generalized to other polymers and inorganic salts for fabricating hydrogel fibers with broadly tunable mechanical properties. In addition, the introduction of inorganic salt/glycerol/water ternary solvent during constructing bionic structures endows hydrogel fibers with anti-freezing, water retention, and self-regeneration properties. This work provides ideas to fabricate hydrogel fibers with high mechanical properties and stability for flexible electronics.
Unusual facet and co-catalyst effects in TiO2-based photocatalytic coupling of methane
Authors: Zhang Huizhen , Sun Pengfei , Fei Xiaozhen , Wu Xuejiao , Huang Zongyi , Zhong Wanfu , Gong Qiaobin , Zheng Yanping , Zhang Qinghong , Xie Shunji , Fu Gang , Wang Ye 
Published: May 2024

AbstractPhotocatalytic coupling of methane to ethane and ethylene (C2 compounds) offers a promising approach to utilizing the abundant methane resource. However, the state-of-the-art photocatalysts usually suffer from very limited C2 formation rates. Here, we report our discovery that the anatase TiO2 nanocrystals mainly exposing {101} facets, which are generally considered less active in photocatalysis, demonstrate surprisingly better performances than those exposing the high-energy {001} facet. The palladium co-catalyst plays a pivotal role and the Pd2+ site on co-catalyst accounts for the selective C2 formation. We unveil that the anatase {101} facet favors the formation of hydroxyl radicals in aqueous phase near the surface, where they activate methane molecules into methyl radicals, and the Pd2+ site participates in facilitating the adsorption and coupling of methyl radicals. This work provides a strategy to design efficient nanocatalysts for selective photocatalytic methane coupling by reaction-space separation to optimize heterogeneous-homogeneous reactions at solid-liquid interfaces.
Study of plasmid mediated quinolone resistance genes among Escherichia coli and Klebsiella pneumoniae isolated from pediatric patients with sepsis
Authors: Gomaa Elsayed Ahmed , M Fahmy Ehab , Abdellatif Alsayed Mona , Ahmed Mai Essam , El Sayed Zaki Maysaa , Mofreh Mohamed Mohamed 
Published: May 2024

AbstractThe resistance to antibiotics in Gram-negative bacilli causing sepsis is a warning sign of failure of therapy. Klebsiella pneumoniae (K. pneumoniae) and Escherichia coli (E. coli) represent major Gram-negative bacilli associated with sepsis. Quinolone resistance is an emerging resistance among E. coli and K. pneumoniae. Therefore, the present study aimed to study the presence of plasmid-mediated quinolone resistance (PMQR) genes qnrA, qnrB, and qnrS by polymerase chain reaction (PCR) in E. coli and K. pneumoniae isolated from pediatric patients with sepsis. This was a retrospective cross-sectional study that included pediatric patients with healthcare-associated sepsis. The E. coli and K. pneumoniae isolates were identified by microbiological methods. PMQR genes namely qnrA, qnrB, and qnrS were detected in E. coli and K. pneumoniae isolates by PCR. The results were analyzed by SPPS24, and the qualitative data was analyzed as numbers and percentages and comparison was performed by Chi-square test, P was significant if < 0.05. The most prevalent gene detected by PCR was qnrA (75%), followed by qnrB (28.1%), and qnrS (25%). The most frequently detected qnr gene in E coli and K. pneumoniae was qnrA (28.8%, and 16.3% respectively). The present study highlights the high prevalence of ciprofloxacin resistance among E. coli and K. pneumoniae isolated from pediatric patients with healthcare-associated sepsis. There was a high frequency of PMQR genes in E. coli and K. pneumoniae isolated from pediatric patients. Therefore, it is important to monitor the spread of PMQR genes in clinical isolates to ensure efficient antibiotic use in those children. The finding denotes the importance of an antibiotics surveillance program.
Shifts in uterine microbiome associated with pregnancy outcomes at first insemination and clinical cure in dairy cows with metritis
Authors: Figueiredo Caio C. , Monteiro Hugo F. , Cunha Federico , Bisinotto Danilo Z. , Ruiz Angel Revilla , Duarte Gustavo A. , Ge Yong , Lima Fábio S. , Mohamadzadeh Mansour , Galvão Klibs N. , Bisinotto Rafael S. 
Published: May 2024

AbstractObjectives were to assess differences in uterine microbiome associated with clinical cure and pregnancy outcomes in dairy cows treated for metritis. Cows with metritis (reddish-brownish, watery, and fetid vaginal discharge) were paired with cows without metritis based on parity and days postpartum. Uterine contents were collected through transcervical lavage at diagnosis, five days later following antimicrobial therapy (day 5), and at 40 days postpartum. Uterine microbiome was assessed by sequencing the V4 hypervariable region of the 16S rRNA gene. Although alpha-diversity based on Chao1, Shannon, and inverse Simpson indexes at diagnosis did not differ between cows with and without metritis, disease was associated with differences in beta-diversity. Prevalence of Porphyromonas, Bacteroides, and Veillonella was greater in cows with metritis. Streptococcus, Sphingomonas, and Ureaplasma were more prevalent in cows without metritis. Differences in beta-diversity between cows with and without metritis persisted on day 5. Uterine microbiome was not associated with clinical cure. Richness and alpha-diversity, but not beta-diversity, of uterine microbiome 40 days postpartum were associated with metritis and pregnancy. No relationship between uterine microbiome and pregnancy outcomes was observed. Results indicate that factors other than changes in intrauterine bacterial community underlie fertility loss and clinical cure in cows with metritis.
Research collaboration data platform ensuring general data protection
Authors: Toma Monica , Bönisch Caroline , Löhnhardt Benjamin , Kelm Michael , Bohnenberger Hanibal , Winkelmann Sven , Ströbel Philipp , Kesztyüs Tibor 
Published: May 2024

AbstractTranslational data is of paramount importance for medical research and clinical innovation. It has the potential to benefit individuals and organizations, however, the protection of personal data must be guaranteed. Collecting diverse omics data and electronic health records (EHR), re-using the minimized data, as well as providing a reliable data transfer between different institutions are mandatory steps for the development of the promising field of big data and artificial intelligence in medical research. This is made possible within the proposed data platform in this research project. The established data platform enables the collaboration between public and commercial organizations by data transfer from various clinical systems into a cloud for supporting multi-site research while ensuring compliant data governance.
Technologically advanced running shoes reduce oxygen cost and cumulative tibial loading per kilometer in recreational female and male runners
Authors: Werkhausen Amelie , Lund-Hansen Magne , Wiedenbruch Lucas , Peikenkamp Klaus , Rice Hannah 
Published: May 2024

AbstractTechnologically advanced running shoes (TARS) improve performance compared to classical running shoes (CRS). Improved race performance has been attributed to metabolic savings in male runners, but it remains unclear if these same benefits are experienced among females and in recreational runners. The mechanisms behind these benefits are still not fully understood despite the need for optimisation, and their influence on injury mechanisms has not been explored. Here we combined biomechanical, physiological, and modelling approaches to analyse joint mechanics, oxygen uptake, and tibial load in nineteen male and female recreational runners running with CRS and TARS at their individual lactate threshold speed (12.4 ± 1.9 km/h). Oxygen uptake was 3.0 ± 1.5% lower in TARS than in CRS. Ankle dorsiflexion, joint moment and joint power were reduced in TARS compared to CRS at various phases of stance including midstance, while knee joint mechanics were mostly similar throughout. There were no significant differences for tibial bending moment during the stance phase but cumulative tibial damage per kilometre was 12 ± 9% lower in TARS compared to CRS. Our results suggest that running with TARS reduces oxygen cost in recreational female and male runners, which may partly be explained by differences in lower limb joint mechanics. The lower cumulative tibial bone load with TARS may allow runners to run longer distances in this type of shoe compared to CRS.
Intravenous versus oral ‘l-ornithine-l-aspartate’ in overt hepatic encephalopathy: a randomized comparative study
Authors: Jhajharia Ashok , Singh Shashank , Jana Sangeeta , Ashdhir Prachis , Nijhawan Sandeep 
Published: May 2024

AbstractHepatic encephalopathy (HE), a morbid ordeal affecting chronic liver disease patients always insists for the search of a rational, superior & infallible agent beyond the time-proven standards i.e., Lactulose & Rifaximin. In this RCT, we compared the efficacy of intravenous (IV) l-ornithine-l-aspartate(LOLA) versus Oral LOLA in patients with chronic liver disease(CLD) enduring overt Hepatic Encephalopathy(OHE). 40 CLD patients with OHE were randomly assigned IV or oral LOLA in a 1:1 ratio. Patients were graded for HE and monitored for serum ammonia levels from day 1 to day 5. The aim was to compare IV versus oral LOLA efficacy in HE grades improvement and its correlation with ammonia levels. The study was registered with clinical trials registry-India, CTRI/2020/12/029943. Baseline characteristics of patients in both groups were similar. The mean difference in ammonia levels from day 1 to day 5 was 55.4 ± 32.58 µmol/L in the IV LOLA group and 60.75 ± 13.82 µmol/L in the oral LOLA group (p = 0.511). Significant reductions in ammonia levels were observed from day 1 to day 5 within each group (p < 0.001). HE grade & ammonia correlated positively in both groups. LOLA, regardless of administration route, has demonstrated efficacy in OHE.
Development and validation of early prediction models for new-onset functional impairment in patients after being transferred from the ICU
Authors: Xiao Zewei , Zeng Limei , Chen Suiping , Wu Jinhua , Huang Haixing 
Published: May 2024

AbstractA significant number of intensive care unit (ICU) survivors experience new-onset functional impairments that impede their activities of daily living (ADL). Currently, no effective assessment tools are available to identify these high-risk patients. This study aims to develop an interpretable machine learning (ML) model for predicting the onset of functional impairment in critically ill patients. Data for this study were sourced from a comprehensive hospital in China, focusing on adult patients admitted to the ICU from August 2022 to August 2023 without prior functional impairments. A least absolute shrinkage and selection operator (LASSO) model was utilized to select predictors for inclusion in the model. Four models, logistic regression, support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost), were constructed and validated. Model performance was assessed using the area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Additionally, the DALEX package was employed to enhance the interpretability of the final models. The study ultimately included 1,380 patients, with 684 (49.6%) exhibiting new-onset functional impairment on the seventh day after leaving the ICU. Among the four models evaluated, the SVM model demonstrated the best performance, with an AUC of 0.909, accuracy of 0.838, sensitivity of 0.902, specificity of 0.772, PPV of 0.802, and NPV of 0.886. ML models are reliable tools for predicting new-onset functional impairments in critically ill patients. Notably, the SVM model emerged as the most effective, enabling early identification of patients at high risk and facilitating the implementation of timely interventions to improve ADL.