bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can we interrogate public databases to fill critical gaps in mental health epidemiology? Testing the association between cannabis and psychosis in the UK as an example
Authors: Di Gennaro Gianfranco , Colizzi Marco 
Published: June 2023

Abstract
The psychoactive properties of cannabis have been known forever. Since 1987, several prospective studies have suggested an increased risk of psychosis among cannabis users, with alternative explanations failing to account for such an effect. A cause–effect relationship has thus been implied. Further evidence has indicated that there is a dose–response relationship, and high-potency cannabis varieties confer the greatest risk of psychosis. As cannabis use has become more common over the last decades, one would expect a related increase in the number of schizophrenia cases. However, evidence in this regard remains equivocal for several reasons, including relying on databases that are not primarily designed to address such question and the issue that solid information regarding the incidence of schizophrenia is a relatively recent acquisition. Recent years have seen the development of online web publications, such as Google Trends and “Our World in Data”, where data are explorable and interactable for tracking and comparing trends over specific periods and world regions. By using such databases, we believe that the question whether changes in cannabis use are associated with changes in schizophrenia rates can be answered, at least partly. Therefore, we tested these tools by evaluating trends in cannabis use and both cases and prevalence of schizophrenia in the United Kingdom, one of the countries where the incident rates for psychotic disorder have been suggested to be particularly increased by cannabis consumption. Crossing data from these tools revealed that interest in cannabis has been growing at the country level for over 10 years, with a parallel overlapping raise in psychosis cases and prevalence. Following up on this example, let us think of how many public health opportunities these public resources may offer. The question now is whether public health interventions for the benefit of the general population will follow suit.
Bright-field to fluorescence microscopy image translation for cell nuclei health quantification
Authors: Wang Ruixiong , Butt Daniel , Cross Stephen , Verkade Paul , Achim Alin 
Published: June 2023

Abstract
Microscopy is a widely used method in biological research to observe the morphology and structure of cells. Amongst the plethora of microscopy techniques, fluorescent labeling with dyes or antibodies is the most popular method for revealing specific cellular organelles. However, fluorescent labeling also introduces new challenges to cellular observation, as it increases the workload, and the process may result in nonspecific labeling. Recent advances in deep visual learning have shown that there are systematic relationships between fluorescent and bright-field images, thus facilitating image translation between the two. In this article, we propose the cross-attention conditional generative adversarial network (XAcGAN) model. It employs state-of-the-art GANs (GANs) to solve the image translation task. The model uses supervised learning and combines attention-based networks to explore spatial information during translation. In addition, we demonstrate the successful application of XAcGAN to infer the health state of translated nuclei from bright-field microscopy images. The results show that our approach achieves excellent performance both in terms of image translation and nuclei state inference.
Water Supersaturation for Early Mars
Authors: Delavois A. , Forget F. , Turbet M. , Millour E. , Vandemeulebrouck R. , Lange L. , Bierjon A. 
Published: June 2023

AbstractEvidence of past liquid water flowing on the surface of Mars has been identified since the first orbital mission to the planet. However, reconstructing the climate that would allow liquid water at the surface is still an intense area of research. Previous studies showed that an atmosphere composed only of CO2 and H2O could not sustain surface temperatures above the freezing point of water. Different solutions have been studied, ranging from events like impacts on different atmospheric compositions, or even radiative feedback of water clouds that would create a dramatic greenhouse effect. In this context, we propose to study whether the supersaturation of water could warm the planet. Strong supersaturation is observed in the present‐day Martian atmosphere. On early Mars, supersaturation could enhance the greenhouse effect through strong absorption of the IR flux by water vapor or by modifying water clouds. While 1D modeling suggests a significant impact, our 3D model shows that warming the climate of early Mars requires a high supersaturation ratio, especially in the lower layers of the atmosphere. This configuration seems highly unrealistic since the level of supersaturation is higher than what would be expected in a dense atmosphere.
Simultaneous Inversion of Ocean Bottom Pressure and Electromagnetic Tsunami Records for the 2009 Samoa Earthquake
Authors: Yokoi Hiiro , Baba Toshitaka , Lin Zhiheng , Minami Takuto , Kamiya Masato , Naitoh Akino , Toh Hiroaki 
Published: June 2023

AbstractThis study presents tsunami inversion analyses that simultaneously use ocean‐bottom pressure and ocean‐bottom electromagnetic data along with an accurate tsunami propagation model to estimate the earthquake source model for the 2009 Samoa earthquake. This earthquake was a doublet event that occurred along a pair of normal and thrust faults. To the best of our knowledge, this joint inversion of pressure and electromagnetic data is unprecedented. The incorporation of electromagnetic data in the tsunami inversion analysis was relatively simple, and the inclusion of frequency dispersion, self‐attraction, and loading effects in the tsunami propagation calculations allowed the use of tsunami waveforms recorded at distant locations, which improved the reliability of the solutions obtained. Our best source model indicated that the east‐west extent of the plate‐boundary slip area was approximately 50 km, which is narrower than that of a previous fault model, and explained both electromagnetic and pressure data from the 2009 Samoa tsunami.
Poleward Shift in the Southern Hemisphere Westerly Winds Synchronous With the Deglacial Rise in CO2
Authors: Gray William R. , de Lavergne Casimir , Jnglin Wills Robert C. , Menviel Laurie , Spence Paul , Holzer Mark , Kageyama Masa , Michel Elisabeth 
Published: June 2023

AbstractThe Southern Hemisphere westerly winds influence deep ocean circulation and carbon storage. While the westerlies are hypothesized to play a key role in regulating atmospheric CO2 over glacial‐interglacial cycles, past changes in their position and strength remain poorly constrained. Here, we use a compilation of planktic foraminiferal δ18O from across the Southern Ocean and emergent relationships within an ensemble of climate models to reconstruct changes in the Southern Hemisphere surface westerlies over the last deglaciation. We infer a 4.8° (2.9–7.1°, 95% confidence interval) equatorward shift and about a 25% weakening of the westerlies during the Last Glacial Maximum (20 ka) relative to the mid‐Holocene (6.5 ka). Climate models from the Palaeoclimate Modeling Intercomparison Project substantially underestimate this inferred equatorward wind shift. According to our reconstruction, the poleward shift in the westerlies over deglaciation closely mirrors the rise in atmospheric CO2 (R2 = 0.98). Experiments with a 0.25° resolution ocean‐sea‐ice‐carbon model suggest that shifting the westerlies equatorward reduces the overturning rate of the ocean below 2 km depth, leading to a suppression of CO2 outgassing from the polar Southern Ocean. Our results support a role for the westerly winds in driving the deglacial CO2 rise, and suggest outgassing of natural CO2 from the Southern Ocean is likely to increase as the westerlies shift poleward due to anthropogenic warming.
Development and Testing of a Digitally Enabled Adherence Platform
Authors: Abelson Elana , Hooper David , Varnell Charles , Streat Derek , Sharma Gunjan , Gavandi Sid , Modi Avani C. 
Published: June 2023

Objective: To develop a digitally enabled adherence platform (DEAP) using evidence-based adherence promotion strategies through iterative testing with patients, design specialists, and adherence experts. Method: Adolescents and young adults (AYAs) with a kidney transplant from a large, midwestern transplant program were recruited to participate in this study. Through an iterative process, we conducted focus groups, individual interviews, empathy interviews/mapping, and usability testing and evaluation to develop and refine the initial version of DEAP. Results: Three empathy maps were created to assess the unique needs of patients, caregivers, and healthcare providers. Eleven patients were then recruited to participate in usability testing of the platform. Platform engagement was high with nine of the 11 participants viewing their initial messages/surveys, usability was rated as high ( M = 81.88, SD = 9.61, range = 67.5–95.0), and user-friendliness was rated as excellent ( M = 5.88, SD = 0.74, range = 5.0–7.0). Participants also noted multiple opportunities for improving the look and design of DEAP. Conclusions: Engaging with multiple stakeholders and piloting a small usability study have demonstrated support for the acceptability and usability of DEAP, a mobile health platform to address barriers to taking immunosuppression medication for AYAs who have received kidney transplants. Future work is planned to develop a better patient and clinician user experience, increase personalization, and facilitate patient–clinician engagement using this platform. Implications for Impact Statement Up to 40% of adolescents and young adults (AYAs) who have undergone kidney transplants do not take their immunosuppression medication as prescribed, which can lead to devastating consequences including organ rejection. DEAP (digitally enabled adherence platform), a web-based system, was designed using an iterative process with input from key stakeholders with features to assess adherence barriers and provide solutions through problem-solving. Preliminary usability testing suggests it is acceptable and easy to use, demonstrating its potential to address suboptimal adherence and improve health outcomes.
Ultra-thin light-weight laser-induced-graphene (LIG) diffractive optics
Authors: Lee Younggeun , Low Mun Ji , Yang Dongwook , Nam Han Ku , Le Truong-Son Dinh , Lee Seung Eon , Han Hyogeun , Kim Seunghwan , Vu Quang Huy , Yoo Hongki , Yoon Hyosang , Lee Joohyung , Sandeep Suchand , Lee Keunwoo , Kim Seung-Woo , Kim Young-Jin 
Published: June 2023

AbstractThe realization of hybrid optics could be one of the best ways to fulfill the technological requirements of compact, light-weight, and multi-functional optical systems for modern industries. Planar diffractive lens (PDL) such as diffractive lenses, photonsieves, and metasurfaces can be patterned on ultra-thin flexible and stretchable substrates and be conformally attached on top of arbitrarily shaped surfaces. In this review, we introduce recent research works addressed to the design and manufacturing of ultra-thin graphene optics, which will open new markets in compact and light-weight optics for next-generation endoscopic brain imaging, space internet, real-time surface profilometry, and multi-functional mobile phones. To provide higher design flexibility, lower process complexity, and chemical-free process with reasonable investment cost, direct laser writing (DLW) of laser-induced-graphene (LIG) is actively being applied to the patterning of PDL. For realizing the best optical performances in DLW, photon-material interactions have been studied in detail with respect to different laser parameters; the resulting optical characteristics have been evaluated in terms of amplitude and phase. A series of exemplary laser-written 1D and 2D PDL structures have been actively demonstrated with different base materials, and then, the cases are being expanded to plasmonic and holographic structures. The combination of these ultra-thin and light-weight PDL with conventional bulk refractive or reflective optical elements could bring together the advantages of each optical element. By integrating these suggestions, we suggest a way to realize the hybrid PDL to be used in the future micro-electronics surface inspection, biomedical, outer space, and extended reality (XR) industries.
USP33 promotes pancreatic cancer malignant phenotype through the regulation of TGFBR2/TGFβ signaling pathway
Authors: Liu Xinyuan , Xu Jian , shen Bingbing , Xu Jichuan , Jiang Jianxin 
Published: June 2023

AbstractPancreatic cancer (PC) ranked fourth among cancer-related death worldwide with a survival rate less than 5%. The abnormal proliferation and distant metastasis are major obstacles for the diagnosis and treatment of pancreatic cancer, therefore, it is urgent for researchers to uncover the molecular mechanisms underlying the PC proliferation and metastasis. In current study, we found that USP33, a member of deubiquitinating enzyme family, was upregulated among PC samples and cells, meanwhile, the high expression of USP33 correlated with poor prognosis of patients. Function experiments revealed that USP33 overexpression promoted the proliferation, migration and invasion of PC cells while the inhibition of USP33 expression in PC cells exhibited the opposite effect. The mass spectrum and luciferase complementation assay screened TGFBR2 as the potential binding protein of USP33. Mechanistically, USP33 triggered the deubiquitination of TGFBR2 and prevented its degradation by lysosome, therefore promoted TGFBR2 accumulation in cell membrane and eventually contributed to the sustained activation of TGF-β signaling. Moreover, our results revealed that the activation of TGF-β targeted gene ZEB1 promoted the transcription of USP33. In conclusion, our study found that USP33 contributed to the proliferation and metastasis of pancreatic cancer through a positive feedback loop with TGF-β signaling pathway. Moreover, this study suggested that USP33 may serve as a potential prognostic and therapeutic target in PC.
Comparative phylotranscriptomics reveals ancestral and derived root nodule symbiosis programmes
Authors: Libourel Cyril , Keller Jean , Brichet Lukas , Cazalé Anne-Claire , Carrère Sébastien , Vernié Tatiana , Couzigou Jean-Malo , Callot Caroline , Dufau Isabelle , Cauet Stéphane , Marande William , Bulach Tabatha , Suin Amandine , Masson-Boivin Catherine , Remigi Philippe , Delaux Pierre-Marc , Capela Delphine 
Published: June 2023

AbstractSymbiotic interactions such as the nitrogen-fixing root nodule symbiosis (RNS) have structured ecosystems during the evolution of life. Here we aimed at reconstructing ancestral and intermediate steps that shaped RNS observed in extant flowering plants. We compared the symbiotic transcriptomic responses of nine host plants, including the mimosoid legume Mimosa pudica for which we assembled a chromosome-level genome. We reconstructed the ancestral RNS transcriptome composed of most known symbiotic genes together with hundreds of novel candidates. Cross-referencing with transcriptomic data in response to experimentally evolved bacterial strains with gradual symbiotic proficiencies, we found the response to bacterial signals, nodule infection, nodule organogenesis and nitrogen fixation to be ancestral. By contrast, the release of symbiosomes was associated with recently evolved genes encoding small proteins in each lineage. We demonstrate that the symbiotic response was mostly in place in the most recent common ancestor of the RNS-forming species more than 90 million years ago.
AAV-mediated expression of a new conformational anti-aggregated α-synuclein antibody prolongs survival in a genetic model of α-synucleinopathies
Authors: Düchs Matthias , Blazevic Dragica , Rechtsteiner Philipp , Kenny Cynthia , Lamla Thorsten , Low Sarah , Savistchenko Jimmy , Neumann Manuela , Melki Ronald , Schönberger Tanja , Stierstorfer Birgit , Wyatt David , Igney Frederik , Ciossek Thomas 
Published: June 2023

AbstractPrion-like transmission of pathology in α-synucleinopathies like Parkinson’s disease or multiple system atrophy is increasingly recognized as one potential mechanism to address disease progression. Active and passive immunotherapies targeting insoluble, aggregated α-synuclein are already being actively explored in the clinic with mixed outcomes so far. Here, we report the identification of 306C7B3, a highly selective, aggregate-specific α-synuclein antibody with picomolar affinity devoid of binding to the monomeric, physiologic protein. 306C7B3 binding is Ser129-phosphorylation independent and shows high affinity to several different aggregated α-synuclein polymorphs, increasing the likelihood that it can also bind to the pathological seeds assumed to drive disease progression in patients. In support of this, highly selective binding to pathological aggregates in postmortem brains of MSA patients was demonstrated, with no staining in samples from other human neurodegenerative diseases. To achieve CNS exposure of 306C7B3, an adeno-associated virus (AAV) based approach driving expression of the secreted antibody within the brain of (Thy-1)-[A30P]-hα-synuclein mice was used. Widespread central transduction after intrastriatal inoculation was ensured by using the AAV2HBKO serotype, with transduction being spread to areas far away from the inoculation site. Treatment of (Thy-1)-[A30P]-hα-synuclein mice at the age of 12 months demonstrated significantly increased survival, with 306C7B3 concentration reaching 3.9 nM in the cerebrospinal fluid. These results suggest that AAV-mediated expression of 306C7B3, targeting extracellular, presumably disease-propagating aggregates of α-synuclein, has great potential as a disease-modifying therapy for α-synucleinopathies as it ensures CNS exposure of the antibody, thereby mitigating the selective permeability of the blood-brain barrier.
ChAdOx1 nCoV-19 (AZD1222) vaccine-induced Fc receptor binding tracks with differential susceptibility to COVID-19
Authors: Kaplonek Paulina , Cizmeci Deniz , Kwatra Gaurav , Izu Alane , Lee Jessica Shih-Lu , Bertera Harry L. , Fischinger Stephanie , Mann Colin , Amanat Fatima , Wang Wenjun , Koen Anthonet L. , Fairlie Lee , Cutland Clare L. , Ahmed Khatija , Dheda Keertan , Barnabas Shaun L. , Bhorat Qasim Ebrahim , Briner Carmen , Krammer Florian , Saphire Erica Ollman , Gilbert Sarah C. , Lambe Teresa , Pollard Andrew J. , Nunes Marta , Wuhrer Manfred , Lauffenburger Douglas A. , Madhi Shabir A. , Alter Galit 
Published: June 2023

AbstractDespite the success of COVID-19 vaccines, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern have emerged that can cause breakthrough infections. Although protection against severe disease has been largely preserved, the immunological mediators of protection in humans remain undefined. We performed a substudy on the ChAdOx1 nCoV-19 (AZD1222) vaccinees enrolled in a South African clinical trial. At peak immunogenicity, before infection, no differences were observed in immunoglobulin (Ig)G1-binding antibody titers; however, the vaccine induced different Fc-receptor-binding antibodies across groups. Vaccinees who resisted COVID-19 exclusively mounted FcγR3B-binding antibodies. In contrast, enhanced IgA and IgG3, linked to enriched FcγR2B binding, was observed in individuals who experienced breakthrough. Antibodies unable to bind to FcγR3B led to immune complex clearance and resulted in inflammatory cascades. Differential antibody binding to FcγR3B was linked to Fc-glycosylation differences in SARS-CoV-2-specific antibodies. These data potentially point to specific FcγR3B-mediated antibody functional profiles as critical markers of immunity against COVID-19.
High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing
Authors: Iwama Seitaro , Morishige Masumi , Kodama Midori , Takahashi Yoshikazu , Hirose Ryotaro , Ushiba Junichi 
Published: June 2023

AbstractReal-time functional imaging of human neural activity and its closed-loop feedback enable voluntary control of targeted brain regions. In particular, a brain-computer interface (BCI), a direct bridge of neural activities and machine actuation is one promising clinical application of neurofeedback. Although a variety of studies reported successful self-regulation of motor cortical activities probed by scalp electroencephalogram (EEG), it remains unclear how neurophysiological, experimental conditions or BCI designs influence variability in BCI learning. Here, we provide the EEG data during using BCIs based on sensorimotor rhythm (SMR), consisting of 4 separate datasets. All EEG data were acquired with a high-density scalp EEG setup containing 128 channels covering the whole head. All participants were instructed to perform motor imagery of right-hand movement as the strategy to control BCIs based on the task-related power attenuation of SMR magnitude, that is event-related desynchronization. This dataset would allow researchers to explore the potential source of variability in BCI learning efficiency and facilitate follow-up studies to test the explicit hypotheses explored by the dataset.
Spatio-temporal evolution and influencing factors of China’s ICT service industry
Authors: Chen Weixuan , Zhang Shiwei , Kong Dezhou , Zou Tong , Zhang Yuxi , Cheshmehzangi Ali 
Published: June 2023

AbstractThe ICT service industry has become a burgeoning industry at a high and stable speed. Their equitable distribution can improve national and global positive peace. This paper aimed to verify the characteristics of spatio-temporal evolution and its influencing factors in the ICT service industry. Based on the data from 31 Provinces in China from 2015 to 2019, this paper uses location quotient, spatial autocorrelation methods and spatial econometric analysis to explore the development characteristics, evolution and influencing factors of the ICT service industry, respectively. The main results are shown as follows: (1) China's ICT service industry is mainly concentrated in Beijing, Shanghai, Zhejiang, Tibet, and Guangdong, with a trend of specialisation development. They are not only distributed in cities with relatively superior overall development but also those with superior industrial and development carrier elements. Technological relevance, aggregation, and political difference might have an impact on promoting the emergence and development of these industries. (2) ICT service industry is characterised by stable and highly concentrated development. Numbers between three to five significant provinces and types with high-high (HH) and high-low (HL) clusters of local spatio-temporal association kept stable in the period. The HH was in eastern coastal areas, including Zhejiang, Shanghai, Jiangsu, and Shandong, and the HL was in Guangdong in 2015. There is a definite spatial correlation in spatial distribution with constant strengthening. (3) TUR, NDN, MIAT and the area were shown to have a significant role in promoting the ICT service industry, while NW, GDP and ICT Employment were shown to have a significant negative impact on this industry. Correspondingly, two strategies were put forward here: (1) accelerating the inter-provincial networking development of the ICT service industry, and (2) strengthening government policy guidance for the ICT service industry. These outcomes can not only provide a scientific basis and theoretical support for the distribution of strategies and resources for these industries at the theoretical level but also improve resource integration from the national perspective and the efficiency of resource use at the practical level.