bluuebunny/crossref_metadata_2025_split huggingface dataset:
Infliximab in chronic non-infectious paediatric uveitis refractory to previous biologic therapy
Authors: Kreps E. O. , Epps S. J. , Consejo A. , Dick A. D. , Guly C. M. , Ramanan A. V. 
Published: October 2023

Abstract
Objectives
To examine the outcome of infliximab treatment in patients with non-infectious paediatric uveitis who have previously failed biologic treatment.

Methods
A retrospective cohort study was performed at Bristol Eye Hospital, UK. Paediatric patients with chronic non-infectious uveitis who had been switched to infliximab due to inadequate uveitis control were identified. Two separate groups were evaluated: group 1 consisted of 20 children (36 eyes) who had been switched to infliximab following treatment failure with adalimumab (=in-class switching), while group 2 (5 patients; 9 eyes) included those who had been switched to infliximab from a non-TNF antagonist after failing several biologics (=across-class switching). The change in anterior chamber (AC) activity between baseline and 6- and 24-months follow-up was the primary outcome measure.

Results
A statistically significant reduction in AC activity was found between baseline and 6-months follow-up (RE: p = 0.002; LE: p < 0.001) and between baseline and 24-months follow-up (RE: p = 0.016; LE: p = 0.011) in group 1. No statistically significant difference was found for either eye in the number of steroid eye drops needed between time points or the difference in visual acuity in time. In group 2, analysis of change of AC activity, number of steroid eye drops and visual acuity failed to reach statistical significance. Treatment failure occurred in four patients (20% of group 1) and adverse events developed in six patients including three patients with acute infusion reactions.

Conclusions
This study supports the efficacy and safety of infliximab in adalimumab-refractory patients with paediatric non-infectious uveitis.
Human consumption of seaweed and freshwater aquatic plants in ancient Europe
Authors: Buckley Stephen , Hardy Karen , Hallgren Fredrik , Kubiak-Martens Lucy , Miliauskienė Žydrūnė , Sheridan Alison , Sobkowiak-Tabaka Iwona , Subirà Maria Eulalia 
Published: October 2023

AbstractDuring the Mesolithic in Europe, there is widespread evidence for an increase in exploitation of aquatic resources. In contrast, the subsequent Neolithic is characterised by the spread of farming, land ownership, and full sedentism, which lead to the perception of marine resources subsequently representing marginal or famine food or being abandoned altogether even at the furthermost coastal limits of Europe. Here, we examine biomarkers extracted from human dental calculus, using sequential thermal desorption- and pyrolysis-GCMS, to report direct evidence for widespread consumption of seaweed and submerged aquatic and freshwater plants across Europe. Notably, evidence of consumption of these resources extends through the Neolithic transition to farming and into the Early Middle Ages, suggesting that these resources, now rarely eaten in Europe, only became marginal much more recently. Understanding ancient foodstuffs is crucial to reconstructing the past, while a better knowledge of local, forgotten resources is likewise important today.
Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
Authors: Müller Jörg , Mitesser Oliver , Schaefer H. Martin , Seibold Sebastian , Busse Annika , Kriegel Peter , Rabl Dominik , Gelis Rudy , Arteaga Alejandro , Freile Juan , Leite Gabriel Augusto , de Melo Tomaz Nascimento , LeBien Jack , Campos-Cerqueira Marconi , Blüthgen Nico , Tremlett Constance J. , Böttger Dennis , Feldhaar Heike , Grella Nina , Falconí-López Ana , Donoso David A. , Moriniere Jerome , Buřivalová Zuzana 
Published: October 2023

AbstractTropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. Here, we use bioacoustics and metabarcoding to measure forest recovery post-agriculture in a global biodiversity hotspot in Ecuador. We show that the community composition, and not species richness, of vocalizing vertebrates identified by experts reflects the restoration gradient. Two automated measures – an acoustic index model and a bird community composition derived from an independently developed Convolutional Neural Network - correlated well with restoration (adj-R² = 0.62 and 0.69, respectively). Importantly, both measures reflected composition of non-vocalizing nocturnal insects identified via metabarcoding. We show that such automated monitoring tools, based on new technologies, can effectively monitor the success of forest recovery, using robust and reproducible data.
The momentum of the solar energy transition
Authors: Nijsse Femke J. M. M. , Mercure Jean-Francois , Ameli Nadia , Larosa Francesca , Kothari Sumit , Rickman Jamie , Vercoulen Pim , Pollitt Hector 
Published: October 2023

AbstractDecarbonisation plans across the globe require zero-carbon energy sources to be widely deployed by 2050 or 2060. Solar energy is the most widely available energy resource on Earth, and its economic attractiveness is improving fast in a cycle of increasing investments. Here we use data-driven conditional technology and economic forecasting modelling to establish which zero carbon power sources could become dominant worldwide. We find that, due to technological trajectories set in motion by past policy, a global irreversible solar tipping point may have passed where solar energy gradually comes to dominate global electricity markets, without any further climate policies. Uncertainties arise, however, over grid stability in a renewables-dominated power system, the availability of sufficient finance in underdeveloped economies, the capacity of supply chains and political resistance from regions that lose employment. Policies resolving these barriers may be more effective than price instruments to accelerate the transition to clean energy.
Neural deficits in a mouse model of PACS1 syndrome are corrected with PACS1- or HDAC6-targeting therapy
Authors: Villar-Pazos Sabrina , Thomas Laurel , Yang Yunhan , Chen Kun , Lyles Jenea B. , Deitch Bradley J. , Ochaba Joseph , Ling Karen , Powers Berit , Gingras Sebastien , Kordasiewicz Holly B. , Grubisha Melanie J. , Huang Yanhua H. , Thomas Gary 
Published: October 2023

AbstractPACS1 syndrome is a neurodevelopmental disorder (NDD) caused by a recurrent de novo missense mutation inPACS1(p.Arg203Trp (PACS1R203W)). The mechanism by which PACS1R203Wcauses PACS1 syndrome is unknown, and no curative treatment is available. Here, we use patient cells and PACS1 syndrome mice to show that PACS1 (or PACS-1) is an HDAC6 effector and that the R203W substitution increases the PACS1/HDAC6 interaction, aberrantly potentiating deacetylase activity. Consequently, PACS1R203Wreduces acetylation of α-tubulin and cortactin, causing the Golgi ribbon in hippocampal neurons and patient-derived neural progenitor cells (NPCs) to fragment and overpopulate dendrites, increasing their arborization. The dendrites, however, are beset with varicosities, diminished spine density, and fewer functional synapses, characteristic of NDDs. Treatment of PACS1 syndrome mice or patient NPCs with PACS1- or HDAC6-targeting antisense oligonucleotides, or HDAC6 inhibitors, restores neuronal structure and synaptic transmission in prefrontal cortex, suggesting that targeting PACS1R203W/HDAC6 may be an effective therapy for PACS1 syndrome.
NIR-dye bridged human serum albumin reassemblies for effective photothermal therapy of tumor
Authors: Shi Zhaoqing , Luo Miaomiao , Huang Qili , Ding Chendi , Wang Wenyan , Wu Yinglong , Luo Jingjing , Lin Chuchu , Chen Ting , Zeng Xiaowei , Mei Lin , Zhao Yanli , Chen Hongzhong 
Published: October 2023

AbstractHuman serum albumin (HSA) based drug delivery platforms that feature desirable biocompatibility and pharmacokinetic property are rapidly developed for tumor-targeted drug delivery. Even though various HSA-based platforms have been established, it is still of great significance to develop more efficient preparation technology to broaden the therapeutic applications of HSA-based nano-carriers. Here we report a bridging strategy that unfastens HSA to polypeptide chains and subsequently crosslinks these chains by a bridge-like molecule (BPY-Mal2) to afford the HSA reassemblies formulation (BPY@HSA) with enhanced loading capacity, endowing the BPY@HSA with uniformed size, high photothermal efficacy, and favorable therapeutic features. Both in vitro and in vivo studies demonstrate that the BPY@HSA presents higher delivery efficacy and more prominent photothermal therapeutic performance than that of the conventionally prepared formulation. The feasibility in preparation, stability, high photothermal conversion efficacy, and biocompatibility of BPY@HSA may facilitate it as an efficient photothermal agents (PTAs) for tumor photothermal therapy (PTT). This work provides a facile strategy to enhance the loading capacity of HSA-based crosslinking platforms in order to improve delivery efficacy and therapeutic effect.
An experimental dataset on yields of pulses across Europe
Authors: Antichi Daniele , Pampana Silvia , Tramacere Lorenzo Gabriele , Biarnes Véronique , Stute Ina , Kadžiulienė Žydrė , Howard Becky , Duarte Isabel , Balodis Oskars , Bertin Iris , Makowski David , Guilpart Nicolas 
Published: October 2023

AbstractFuture European agriculture should achieve high productivity while limiting its impact on the environment. Legume-supported crop rotations could contribute to these goals, as they request less nitrogen (N) fertilizer inputs, show high resource use efficiency and support biodiversity. However, legumes grown for their grain (pulses) are not widely cultivated in Europe. To further expand their cultivation, it remains crucial to better understand how different cropping and environmental features affect pulses production in Europe. To address this gap, we collected the grain yields of the most cultivated legumes across European countries, from both published scientific papers and unpublished experiments of the European projects LegValue and Legato. Data were integrated into an open-source, easily updatable dataset, including 5229 yield observations for five major pulses: chickpea (Cicer arietinum L.), faba bean (Vicia faba L.), field pea (Pisum sativum L.), lentil (Lens culinaris Medik.), and soybean (Glycine max (L.) Merr.). These data were collected in 177 field experiments across 21 countries, from 37° N (southern Italy) to 63° N (Finland) of latitude, and from ca. 8° W (western Spain) to 47° E (Turkey), between 1980 and 2020. Our dataset can be used to quantify the effects of the soil, climate, and agronomic factors affecting pulses yields in Europe and could contribute to identifying the most suitable cropping areas in Europe to grow pulses.
The impact of founder personalities on startup success
Authors: McCarthy Paul X. , Gong Xian , Braesemann Fabian , Stephany Fabian , Rizoiu Marian-Andrei , Kern Margaret L. 
Published: October 2023

AbstractStartup companies solve many of today’s most challenging problems, such as the decarbonisation of the economy or the development of novel life-saving vaccines. Startups are a vital source of innovation, yet the most innovative are also the least likely to survive. The probability of success of startups has been shown to relate to several firm-level factors such as industry, location and the economy of the day. Still, attention has increasingly considered internal factors relating to the firm’s founding team, including their previous experiences and failures, their centrality in a global network of other founders and investors, as well as the team’s size. The effects of founders’ personalities on the success of new ventures are, however, mainly unknown. Here, we show that founder personality traits are a significant feature of a firm’s ultimate success. We draw upon detailed data about the success of a large-scale global sample of startups (n = 21,187). We find that the Big Five personality traits of startup founders across 30 dimensions significantly differ from that of the population at large. Key personality facets that distinguish successful entrepreneurs include a preference for variety, novelty and starting new things (openness to adventure), like being the centre of attention (lower levels of modesty) and being exuberant (higher activity levels). We do not find one ’Founder-type’ personality; instead, six different personality types appear. Our results also demonstrate the benefits of larger, personality-diverse teams in startups, which show an increased likelihood of success. The findings emphasise the role of the diversity of personality types as a novel dimension of team diversity that influences performance and success.
Functional classification of DDOST variants of uncertain clinical significance in congenital disorders of glycosylation
Authors: Kas Sjors M. , Mundra Piyushkumar A. , Smith Duncan L. , Marais Richard 
Published: October 2023

AbstractCongenital disorders of glycosylation (CDG) are rare genetic disorders with a spectrum of clinical manifestations caused by abnormal N-glycosylation of secreted and cell surface proteins. Over 130 genes are implicated and next generation sequencing further identifies potential disease drivers in affected individuals. However, functional testing of these variants is challenging, making it difficult to distinguish pathogenic from non-pathogenic events. Using proximity labelling, we identified OST48 as a protein that transiently interacts with lysyl oxidase (LOX), a secreted enzyme that cross-links the fibrous extracellular matrix. OST48 is a non-catalytic component of the oligosaccharyltransferase (OST) complex, which transfers glycans to substrate proteins. OST48 is encoded by DDOST, and 43 variants of DDOST are described in CDG patients, of which 34 are classified as variants of uncertain clinical significance (VUS). We developed an assay based on LOX N-glycosylation that confirmed two previously characterised DDOST variants as pathogenic. Notably, 39 of the 41 remaining variants did not have impaired activity, but we demonstrated that p.S243F and p.E286del were functionally impaired, consistent with a role in driving CDG in those patients. Thus, we describe a rapid assay for functional testing of clinically relevant CDG variants to complement genome sequencing and support clinical diagnosis of affected individuals.
Modeling rainfall-induced 2D inundation simulation based on the ANN-derived models with precipitation and water-level measurements at roadside IoT sensors
Authors: Wu Shiang-Jen 
Published: October 2023

AbstractThis study aims to develop a smart model for carrying out two-dimensional (2D) inundation simulation by estimating the gridded inundation depths via the ANN-derived models (ANN_GA-SA_MTF), named SM_EID_2D model. Within the SM_EID_2D model, the rainfall-induced inundation depths at the IoT sensors (i.e., IOT-based grids) are first estimated to be then used in the estimation of inundation depths at the ungauged grids (VIOT-based grids), the resulting flood extents and spatial distribution of inundation of what could be achieved. To facilitate the reliability of the proposed SM_EID_2D model in the 2D inundation simulation, a considerable number of rainfall-induced flood events are generated as the training datasets by coupling the hydrodynamic numerical model (SOBEK) with the simulated gridded rainstorms. To proceed with the model validation and application, the Miaoli City of North Taiwan is selected as the study area, and the associated hydrological and geographical data are adopted in the generation of the training datasets. The results from the model validation indicate that the proposed SM_EID_2D model could provide the gridded inundation-depth hydrographs with a low bias (about 0.02 m) and a high fitness to the validated data (nearly 0.7); also, the spatial distribution of inundated and non-inundated grids as well as the induced flooding extent provided could be well emulated by the proposed SM_EID_2D model under acceptable reliability (0.7). The proposed SM_EID_2D model is also advantageous for the 2D inundation simulation in the real-time delineated subbasins by assembling the emulated inundation depths at the specific grids.
From himachalenes to trans-himachalol: unveiling bioactivity through hemisynthesis and molecular docking analysis
Authors: Faris A. , Edder Y. , Louchachha I. , Lahcen I. Ait , Azzaoui K. , Hammouti B. , Merzouki M. , Challioui A. , Boualy B. , Karim A. , Hanbali G. , Jodeh S. 
Published: October 2023

AbstractIn this study, we report the first total hemisynthesis of trans-himachalol sesquiterpene, a stereoisomer of the natural cis-himachalol isolated from Cedrus atlantica essential oils, from himachalenes mixture in five steps. Reactions conditions were optimized and structures of the obtained compounds were confirmed by IR, mass spectra, 1H, and 13C NMR. The synthesized compounds were investigated for potential activities on various isolated smooth muscles and against different neurotransmitters using molecular docking. The results show that the synthesized compounds display high affinities towards the active site of the protein 7B2W and the compounds exhibit promising activities on various isolated smooth muscles and against different neurotransmitters.
RGB-D salient object detection via convolutional capsule network based on feature extraction and integration
Authors: Xu Kun , Guo Jichang 
Published: October 2023

AbstractFully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete segmentation of the salient object. Although the capsule network is capable of recognizing a complete object, it is highly computational demand and time consuming. In this paper, we propose a novel convolutional capsule network based on feature extraction and integration for dealing with the object-part relationship, with less computation demand. First and foremost, RGB features are extracted and integrated by using the VGG backbone and feature extraction module. Then, these features, integrating with depth images by using feature depth module, are upsampled progressively to produce a feature map. In the next step, the feature map is fed into the feature-integrated convolutional capsule network to explore the object-part relationship. The proposed capsule network extracts object-part information by using convolutional capsules with locally-connected routing and predicts the final salient map based on the deconvolutional capsules. Experimental results on four RGB-D benchmark datasets show that our proposed method outperforms 23 state-of-the-art algorithms.
Impaired cognitive and motor function are coincident with l-DOPA-induced dyskinesia in a model of Parkinson’s disease
Authors: Lelos Mariah J. , Murphy Ellen M. , Lindgren Hanna S. , Dunnett Stephen B. , Lane Emma L. 
Published: October 2023

AbstractDopamine transmission has been implicated in motor and cognitive function. In Parkinson’s disease (PD), dopamine replacement using the precursor drug l-DOPA is the predominant treatment approach, but long-term exposure leads to the onset of dyskinesias (LIDs). Chronic l-DOPA exposure has been associated with changes in gene expression and altered cortico-striatal plasticity. The aim of this research was to assess the functional consequence of long-term l-DOPA exposure on cognitive and motor function using a rodent model of PD. Across two independent experiments, we assessed the impact of chronic l-DOPA exposure, or a control D2R agonist, on motor and cognitive function in intact and in hemi parkinsonian rats, in the absence of drug. Abnormal involuntary movements associated with LID were measured and brain tissues were subsequently harvested for immunohistochemical analysis. Exposure to chronic l-DOPA, but not the D2R agonist, impaired motor and cognitive function, when animals were tested in the absence of drug. A meta-analysis of the two experiments allowed further dissociation of l-DOPA -treated rats into those that developed LIDs (dyskinetic) and those that did not develop LIDs (non-dyskinetic). This analysis revealed impaired cognitive and motor performance were evident only in dyskinetic, but not in non-dyskinetic, rats. These data reveal a functional consequence of the altered plasticity associated with LID onset and have implications for understanding symptom progression in the clinic.
Incidence and risk factors for stroke after hip fracture: a meta-analysis
Authors: Lamo-Espinosa José María , Mariscal Gonzalo , Gómez-Álvarez Jorge , San-Julián Mikel 
Published: October 2023

AbstractHip fractures represent a high burden and are associated with mortality in up to 30% of the cases. Stroke complications can be devastating and increase mortality and disability in elderly patients. This study aimed to determine the overall incidence and risk factors for stroke in patients with hip fractures. A systematic search of the literature using PubMed, EMBASE, Scopus, and Cochrane Collaboration Library databases was carried out. Studies have reported the incidence of stroke in patients > 50 years of age with hip fractures. Data were extracted according to PRISMA guidelines (PROSPERO: CRD42023384742). Data were combined using Review Manager version 5.4. A random-effects model was adopted if a significant heterogeneity was observed. The primary outcome was the incidence of stroke in patients with hip fractures. The secondary outcomes of interest included the influence on the incidence of demographic factors, associated conditions, habits, and analytical parameters. Of the 635 initially retrieved studies, 18 were included, with 256,197 patients. The mean age of the patients ranged from 55 to 84 years old. The overall incidence of stroke in patients with hip fracture was 6.72% (95% CI 4.37–9.07%. The incidence of stroke by region was highest in the American continent (8.09%, 95% CI 3.60–12.58%; P > 0.001). Regarding associated conditions diabetes significantly increased the risk of stroke (OR 1.80, 95% CI 1.41–2.30). Respect to patient characteristics, BMI greater than 24.4 and female gender did not significantly increase the risk of stroke: (OR 1.07, 95% CI 0.74–1.56) and (OR 1.15, 95% CI 0.91–1.46). Lastly, lower albumin concentrations were a risk factor for stroke in patients with hip fracture (MD − 3.18, 95% CI − 4.06 to 2.31). In conclusion, the incidence of stroke after hip fracture was 6.72%. The incidence of stroke increases over time, and the closely associated risk factors are diabetes and low albumin level.