bluuebunny/crossref_metadata_2025 huggingface dataset:
Robust multi-label feature learning-based dual space
Authors: Braytee Ali , Liu Wei
Published: January 2024

Multi-label learning handles instances associated with multiple class labels. The original label space is a logical matrix with entries from the Boolean domain $$\in \left\{ 0,1 \right\} $$

∈

0
,
1

. Logical labels cannot show the relative importance of each semantic label to the instances. Most existing methods map the input features to the label space using linear projections considering the label dependencies using a logical label matrix. However, the discriminative features are learned using one-way projection from the feature representation of an instance into a logical label space. There is no manifold in the learning space of logical labels, which limits the potential of learned models. We propose a novel method in multi-label learning to learn the projection matrix from the feature space to the semantic label space and project it back to the original feature space using encoder–decoder deep learning architecture. The key intuition which guides our method is that the discriminative features are identified due to mapping the features back and forth using two linear projections. To the best of our knowledge, this is one of the first attempts to study the ability to reconstruct the original features from the label manifold in multi-label learning. We show that the learned projection matrix identifies a subset of discriminative features across multiple semantic labels. Extensive experiments on real-world datasets show the superiority of the proposed method.
Late In-Stent Restenosis of a Saphenous Vein Graft Treated with High-Pressure Balloon Dilatation and Drug Eluting Balloon Dilatation: Case Report
Authors: Rogowski Marek M. , Kara Kaffer
Published: January 2024

In the modern interventional treatment of degenerated saphenous vein grafts, the use of both bare metal and drug eluting stents have been described so far. Drug eluting balloons have been increasingly used in cases of in-stent restenosis and to some extent de novo stenosis of native coronary vessels. Based on pure logic approach, the use of drug eluting balloons in in-stent restenosis of the saphenous vein graft may be of great interest. Still, few high-quality data on this subject exist and no general recommendations can be made. This paper illustrates a typical case of a symptomatic late in-stent restenosis of a saphenous vein graft occurred 15 months after a percutaneous coronary intervention with implantation of two drug eluting stents. Intravascular ultrasound revealed a mixture of stent underexpansion and severe neointima. This was treated safely with a prolonged high pressure balloon dilatation followed by dilatation with a drug eluting balloon. The primary result was very good. During the intervention the patient remained asymptomatic and was discharged the next day on dual anti-platelet therapy. During the 10-month follow-up the patient remained asymptomatic. This case demonstrates the usefulness and clinical safety of drug eluting balloons in treating in-stent restenosis in the saphenous vein grafts.
Quality of Working Life in the Circular Economy: the Case of Self-employment in the Repair Sector
Authors: Rogers Heather A. , Deutz Pauline , Ramos Tomas B. , Jonas Andrew E. G.
Published: January 2024

Establishing a circular economy is assumed by some definitions to include social benefits such as employment opportunities; however, research beyond quantitative job creation projections is only recently emerging. While the repair sector is well-established, it has been suggested that increasing circularity implies significantly expanded demand for this service. This article uses five case studies of repair workers, based on semi-structured interviews, to explore self-employment in the repair service sector. Findings indicate that the stresses of work in the circular economy are similar to those of other fields, with self-employment offering opportunities both for job satisfaction and additional pressures. Research needs to give more consideration to the social implications of a circular transition—work may be a necessity for a satisfactory life experience (for most people), but it is under-ambitious to assume that having work is sufficient to achieve that, or should be the limit of ambition for a sustainability transition.
String Virtuosi in Eighteenth-Century Naples
Authors: Olivieri Guido
Published: January 2024

Drawing on extensive archival work, this book examines the crucial contribution of Neapolitan string virtuosi to the dissemination of instrumental music and to the development of string practices and musical culture in Europe. It presents a fresh look at the central place of instrumental music in early modern Naples and considers aspects of music pedagogy, performance practices, patronage, and musicians' social mobility. Music examples, paintings, and lists of personnel of major music institutions inform the discussion and illustrate the opportunities for social mobility afforded by the music profession. Music production and consumption are considered within their cultural, political, and economic contexts and in connection with the rapid political changes of eighteenth-century Naples. This substantial contribution to the understanding of a previously under-studied repertory places the cultivation of Neapolitan instrumental music at the centre of aesthetic and cultural developments across eighteenth-century Europe.
Shakespeare's Tercentenary
Authors: Smialkowska Monika
Published: January 2024

The worldwide commemorations of the three-hundredth anniversary of Shakespeare's death were held amid the global upheaval of the First World War. As empires battled for world domination and nations sought self-determination, diverse communities vied to claim Shakespeare as their own, to underpin their sense of collective identity and cohesion. Unearthing previously unknown Tercentenary events in Europe, the British Empire, and the USA, Monika Smialkowska demonstrates that the 1916 Shakespeare commemorators did not speak with one unified voice. Tributes by marginalised social, ethnic, and racial groups often challenged the homogenising narratives of the official celebrations. Rather than the traditionally patriotic Bard, used to support totalising versions of national or imperial identity, this study reveals Shakespeare as a site of debate and contestation, in which diverse voices – local and global, nationalist and universalist, militant and pacifist – combined and clashed in a fascinating, open-ended dialogue.
Vertical Land Motion Due To Present‐Day Ice Loss From Greenland's and Canada's Peripheral Glaciers
Authors: Berg D. , Barletta V. R. , Hassan J. , Lippert E. Y. H. , Colgan W. , Bevis M. , Steffen R. , Khan S. A.
Published: January 2024

Greenland's bedrock responds to ongoing ice loss with an elastic vertical land motion (VLM) that is measured by Greenland's Global Navigation Satellite System (GNSS) Network (GNET). The measured VLM also contains other contributions, including the long‐term viscoelastic response of the Earth to the deglaciation of the last glacial period. Greenland's ice sheet (GrIS) produces the most significant contribution to the total VLM. The contribution of peripheral glaciers (PGs) from both Greenland (GrPGs) and Arctic Canada (CanPGs) has not carefully been accounted for in previous GNSS analyses. This is a significant concern, since GNET stations are often closer to PGs than to the ice sheet. We find that, PGs produce significant elastic rebound, especially in North and East Greenland. Across these regions, the PGs produce up to 32% of the elastic rebound. For a few stations in the North, the VLM from PGs is larger than that due to the GrIS.
Oceanic Influence and Lapse Rate Changes Dominate the Recent Amplified Saharan Warming
Authors: Zhuo Li , Rose Brian E. J.
Published: January 2024

The surface air temperature (SAT) over the Sahara Desert has increased at a much faster rate than average tropical land in recent decades. This study examines the relative roles of anthropogenic greenhouse gas (GHG) forcing and sea surface temperature (SST) change in the observed Saharan temperature increase during boreal warm season from 1979 to 2020 using atmospheric general circulation model simulations. It is found that the SST forcing dominates the observed Saharan warming. Further analysis shows that the warming ocean forces the Saharan SAT increase by moving more energy to the Sahara Desert, while the water vapor feedback plays a secondary role. The reason for the stronger Saharan warming than the average tropical land given the same SST forcing is also explored. We found that the largest contributor to the warming contrast is the lapse‐rate feedback, which is attributable to the difference in the vertical warming profile.
The 8 September 2023, MW 6.8, Morocco Earthquake: A Deep Transpressive Faulting Along the Active High Atlas Mountain Belt
Authors: Cheloni D. , Famiglietti N. A. , Tolomei C. , Caputo R. , Vicari A.
Published: January 2024

On 8 September 2023 an MW 6.8 earthquake struck the High Atlas Mountains of western Morocco, about 70 km southwest from Marrakesh, causing significant devastation and casualties. In this study, we investigate a comprehensive geodetic data set, employing interferometric synthetic aperture radar measurements to assess the fault segment responsible for the seismic event. Our findings suggest two potential fault scenarios: either a transpressive NNW‐dipping high‐angle (70°) fault related to the Tizi n'Test alignment or a transpressive SSW‐dipping low‐angle (22°) fault associated with the North Atlas Fault, with slip (up to 2.2 m) only occurring on deeper parts of the fault. While seismic catalogs couldn't definitively determine the dip direction of the fault, evidence from mainshock locations, gravity and heat flow data and modeling, and active shortening direction suggest the activation of a low‐angle south‐westerly dipping oblique thrust of the North Atlas fault during the 2023 Moroccan earthquake.
The Dynamical Footprint of Year‐Round North American Weather Regimes
Authors: Lee Simon H. , Messori Gabriele
Published: January 2024

Weather regimes have been defined over multiple regions and used in a range of practical applications, including subseasonal‐to‐seasonal forecasting and climate model evaluation. Despite their widespread use, the extent to which regimes reflect physical modes of the atmosphere is seldom investigated. Here, we adopt a year‐round classification of four North American weather regimes, with a fifth “no regime” class, and leverage dynamical systems theory to investigate their dynamical properties. We find that when the atmospheric flow is assigned to a regime, it displays persistent characteristics and a lifecycle‐like temporal evolution. We further find that, regardless of season, these characteristics are enhanced when the atmospheric flow displays a comparatively strong projection onto the cluster‐mean of the regime to which it is assigned (while the reverse is true for a weaker projection). We interpret these results as evidence that the four North American weather regimes are physically‐meaningful, with a clear dynamical footprint.
Disappearing Solar Wind at Mars: Changes in the Mars‐Solar Wind Interaction
Authors: Fowler C. M. , Shaver S. , Hanley K. G. , Andersson L. , McFadden J. , Mitchell D. , Halekas J. , Ma Y. , Espley J. , Curry S.
Published: January 2024

On 26 December 2022 the solar wind density dropped by over an order of magnitude and remained low for about a day. We have utilized in‐situ plasma measurements made by the Mars Atmosphere and Volatile EvolutioN mission to determine how this change affected the Mars‐solar wind interaction. During this time period, on inbound orbit segments, MAVEN sampled the terminator ionosphere, which switched from a magnetized to unmagnetized state immediately following the minimum in solar wind density. The magnetic field amplitude was typically 5–10 nT within the upper ionosphere prior to the event and consistently <1 nT after. During the event the magnetic pressure dominated immediately above the ionosphere while within the ionosphere the ionospheric plasma pressure dominated. The high altitude terminator ionosphere remained in this unmagnetized state throughout the event, suggesting that it was the new equilibrium state of the system. The terminator upper ionosphere returned to its original magnetized state once the solar wind density had recovered. The outbound orbit segments sampled the dayside subsolar region which remained magnetized throughout the event: the magnetization state of the ionosphere varied locally, dependent upon the solar zenith angle and corresponding incident solar wind dynamic pressure. Such conditions are different to the commonly reported unmagnetized ionospheric state at Venus during solar maximum conditions, where the interplanetary magnetic field is repelled from the entire dayside ionosphere. Drastic changes in the upstream solar wind are able to change the Mars‐solar wind interaction state on timescales less than one MAVEN orbit (∼3.5 hr).
Highly Hygroscopic Aerosols Facilitate Summer and Early‐Autumn Cloud Formation at Extremely Low Concentrations Over the Central Arctic Ocean
Authors: Duplessis P. , Karlsson L. , Baccarini A. , Wheeler M. , Leaitch W. R. , Svenningsson B. , Leck C. , Schmale J. , Zieger P. , Chang R. Y.‐W.
Published: January 2024

Arctic clouds are sensitive to atmospheric particles since these are sometimes in such low concentrations that clouds cannot always form under supersaturated water vapor conditions. This is especially true in the late summer, when aerosol concentrations are generally very low in the high Arctic. The environment changes rapidly around freeze‐up as the open waters close and snow starts accumulating on ice. We investigated droplet formation during eight significant fog events in the central Arctic Ocean, north of 80°, from August 12 to 19 September 2018 during the Arctic Ocean 2018 expedition onboard the icebreaker Oden. Calculated hygroscopicity parameters (κ) for the entire study were very high (up to κ = 0.85 ± 0.13), notably after freeze‐up, suggesting that atmospheric particles were very cloud condensation nuclei (CCN)‐active. At least one of the events showed that surface clouds were able to form and persist for at least a couple hours at aerosol concentrations less than 10 cm−3, which was previously suggested to be the minimum for cloud formation. Among these events that were considered limited in CCN, effective radii were generally larger than in the high CCN cases. In some of the fog events, droplet residuals particles did not reactivate under supersaturations up to 0.95%, suggesting either in‐droplet reactions decreased hygroscopicity, or an ambient supersaturation above 1%. These results provide insight into droplet formation during the clean late‐summer and fall of the high Arctic with limited influence from continental sources.
Less Dryland Aridity During Pliocene Warmth
Authors: Zhang Ran , Jiang Dabang , Liu Shanshan , Zhang Chunxia , Zhang Zhongshi , Li Xiangyu , Tian Zhiping , Shi Jiawen
Published: January 2024

Because of the potential similarities of the climate in the mid‐Pliocene to the projected conditions in the near future, studying mid‐Pliocene dryland aridity can advance our future projections. In this study, we used climate modeling to investigate mid‐Pliocene dryland aridity. Our results indicated that, in the mid‐Pliocene compared to the preindustrial period, the simulated dryland was substantially less arid in North Africa, the Arabian Peninsula, Australia and Central Asia and more arid in North and South America and Southern Africa. The combined topography, vegetation and lakes (TVL) and atmospheric CO2 concentrations markedly modified this large‐scale dryland aridity, mainly by modulating precipitation and potential evapotranspiration, respectively. Moreover, the dryland aridity during the mid‐Pliocene varied under different orbital parameter intervals, mainly through precipitation changes. Our results show the important effect of vegetation on dryland aridity in a previous warm period and imply the potential effect of vegetation on future dryland aridity.
A New Mechanism for Stishovite Formation During Rapid Compression of Quartz and Implications for Asteroid Impacts
Authors: Otzen Christoph , Liermann Hanns‐Peter , Langenhorst Falko
Published: January 2024

Shock‐induced transformations of quartz to high‐pressure polymorphs and diaplectic glass are decisive in identifying impact cratering events. Under shock compression, quartz can melt in local hot spots and crystallization of these silica melts under pressure can yield the high‐pressure mineral stishovite. A solid‐state transition to stishovite in relation to the formation of amorphous lamellae was already suggested in the late 1960s, but this idea was never comprehensively proven. Therefore, the mechanism responsible for such an intracrystalline stishovite formation is unknown to date. Herein, crystallographically oriented single crystals of quartz were compressed and decompressed in a membrane‐driven diamond anvil cell. These experiments aim at simulating the pressure paths of natural impacts on the timescale of seconds using compression rates between 0.2 and 0.6 GPa/s and peak pressures between 20 and 37 GPa. During the compression of quartz, the time‐resolved synchrotron X‐ray diffraction patterns reveal the almost simultaneous formation of two high‐pressure polymorphs, the recently identified rosiaite‐structured silica and stishovite. Transmission electron microscopic observations of recovered samples show that stishovite occurs as arrays of uniformly oriented nanometer‐sized crystals in amorphous intracrystalline lamellae. These observations indicate that the numerous stishovite crystals likely nucleated from the structurally similar rosiaite phase and thus inherited their uniform orientation during compression. During decompression, the metastable and non‐quenchable rosiaite‐structured phase collapsed to the amorphous stishovite‐containing lamellae. These findings attest to a novel mechanism of the formation of stishovite in the solid state and provide an explanation for similar microstructural occurrences of stishovite in impact‐metamorphic rocks and shocked meteorites.
Modern Microbial Mats Offer Glimpses of Other Times and Places
Authors: Biddanda Bopaiah , Weinke Anthony , Stone Ian , Ruberg Steven , Hartmeyer Phil
Published: January 2024

Comprising diverse groups of microbes, isolated but globally scattered mat ecosystems like those in Lake Huron may be analogues of life on early Earth and in other exotic environs.
Epigenome-wide association study of DNA methylation in maternal blood leukocytes with BMI in pregnancy and gestational weight gain
Authors: Opsahl J. O. , Fragoso-Bargas N. , Lee Y. , Carlsen E. Ø. , Lekanova N. , Qvigstad E. , Sletner L. , Jenum A. K. , Lee-Ødegård S. , Prasad R. B. , Birkeland K. I. , Moen G-H. , Sommer C.
Published: January 2024

Objectives

We aimed to discover CpG sites with differential DNA methylation in peripheral blood leukocytes associated with body mass index (BMI) in pregnancy and gestational weight gain (GWG) in women of European and South Asian ancestry. Furthermore, we aimed to investigate how the identified sites were associated with methylation quantitative trait loci, gene ontology, and cardiometabolic parameters.

Methods

In the Epigenetics in pregnancy (EPIPREG) sample we quantified maternal DNA methylation in peripheral blood leukocytes in gestational week 28 with Illumina’s MethylationEPIC BeadChip. In women with European (n = 303) and South Asian (n = 164) ancestry, we performed an epigenome-wide association study of BMI in gestational week 28 and GWG between gestational weeks 15 and 28 using a meta-analysis approach. Replication was performed in the Norwegian Mother, Father, and Child Cohort Study, the Study of Assisted Reproductive Technologies (MoBa-START) (n = 877, mainly European/Norwegian).

Results

We identified one CpG site significantly associated with GWG (p 5.8 × 10−8) and five CpG sites associated with BMI at gestational week 28 (p from 4.0 × 10–8 to 2.1 × 10–10). Of these, we were able to replicate three in MoBa-START; cg02786370, cg19758958 and cg10472537. Two sites are located in genes previously associated with blood pressure and BMI. DNA methylation at the three replicated CpG sites were associated with levels of blood pressure, lipids and glucose in EPIPREG (p from 1.2 × 10−8 to 0.04).

Conclusions

We identified five CpG sites associated with BMI at gestational week 28, and one with GWG. Three of the sites were replicated in an independent cohort. Several genetic variants were associated with DNA methylation at cg02786379 and cg16733643 suggesting a genetic component influencing differential methylation. The identified CpG sites were associated with cardiometabolic traits.

ClinicalTrials.gov registration no

Not applicable
METTL14 contributes to acute lung injury by stabilizing NLRP3 expression in an IGF2BP2-dependent manner
Authors: Cao Fei , Chen Guojun , Xu Yixin , Wang Xintong , Tang Xiaole , Zhang Wenyu , Song Xiong , Yang Xiaohua , Zeng Weian , Xie Jingdun
Published: January 2024

Acute lung injury (ALI) as well as its more severe form, acute respiratory distress syndrome (ARDS), frequently leads to an uncontrolled inflammatory response. N6-methyladenosine (m6A) modification was associated with the progression of several inflammatory diseases. However, the role of methyltransferase-like 14 (METTL14)-mediated m6A methylation in ALI/ARDS remains unclear. Here, we reported an increase in overall expression levels of m6A and METTL14 in circulating monocyte-derived macrophages recruited to the lung following ALI, which is correlated with the severity of lung injury. We further demonstrated the critical function of METTL14 in activating NOD-like receptor pyrin domain-containing protein 3 (NLRP3) inflammasome in vitro and in mouse models of ALI/ARDS, and validated NLRP3 as the downstream target of METTL14 by the m6A RNA immunoprecipitation (MeRIP) and RIP assays. Mechanistically, METTL14-methylated NLRP3 transcripts were subsequently recognized by insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2), an m6A reader, which stabilized NLRP3 mRNA. Furthermore, we observed that IGF2BP2 knockdown diminished LPS-induced ALI in mice by downregulating NLRP3 expression. In summation, our study revealed that the molecular mechanism underlying the pathogenesis of ALI/ARDS involves METTL14-mediated activation of NLRP3 inflammasome in an IGF2BP2 dependent manner, thereby demonstrating the potential of METTL14 and IGF2BP2 as promising biomarkers and therapeutic targets for ALI/ARDS treatment.
IFITM3 promotes glioblastoma stem cell-mediated angiogenesis via regulating JAK/STAT3/bFGF signaling pathway
Authors: Xiong Zhangsheng , Xu Xiangdong , Zhang Yuxuan , Ma Chengcheng , Hou Chongxian , You Zhongsheng , Shu Lingling , Ke Yiquan , Liu Yang
Published: January 2024

Interferon-induced transmembrane protein 3 (IFITM3) has been previously verified to be an endosomal protein that prevents viral infection. Recent findings suggested IFITM3 as a key factor in tumor invasion and progression. To clarify the role and molecular mechanism of IFITM3 in Glioblastoma multiforme (GBM) progression, we investigated the expression of IFITM3 in glioma datasets culled from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA). Primary GBM stem cells (GSCs) were cultured and identified in vitro. Loss-of-function and gain-of-function experiments were established by using shRNAs and lentiviral vectors targeting IFITM3. Co-culture system of GSCs and vascular endothelial cells was constructed in a Transwell chamber. Tube formation and spheroid-based angiogenesis assays were performed to determine the angiogenic capacity of endothelial cells. Results revealed that IFITM3 is elevated in GBM samples and predictive of adverse outcome. Mechanistically, GSCs-derived IFITM3 causes activation of Jak2/STAT3 signaling and leads to robust secretion of bFGF into tumor environment, which eventually results in enhanced angiogenesis. Taken together, these evidence indicated IFITM3 as an essential factor in GBM angiogenesis. Our findings provide a new insight into mechanism by which IFITM3 modulates GBM angiogenesis.
Loss of RND3/RHOE controls entosis through LAMP1 expression in hepatocellular carcinoma
Authors: Basbous Sara , Dif Lydia , Dantzer Camille , Di-Tommaso Sylvaine , Dupuy Jean-William , Bioulac-Sage Paulette , Raymond Anne-Aurélie , Desdouets Chantal , Saltel Frédéric , Moreau Violaine
Published: January 2024

Entosis is a process that leads to the formation of cell-in-cell structures commonly found in cancers. Here, we identified entosis in hepatocellular carcinoma and the loss of Rnd3 (also known as RhoE) as an efficient inducer of this mechanism. We characterized the different stages and the molecular regulators of entosis induced after Rnd3 silencing. We demonstrated that this process depends on the RhoA/ROCK pathway, but not on E-cadherin. The proteomic profiling of entotic cells allowed us to identify LAMP1 as a protein upregulated by Rnd3 silencing and implicated not only in the degradation final stage of entosis, but also in the full mechanism. Moreover, we found a positive correlation between the presence of entotic cells and the metastatic potential of tumors in human patient samples. Altogether, these data suggest the involvement of entosis in liver tumor progression and highlight a new perspective for entosis analysis in medicine research as a novel therapeutic target.
Amino acid metabolism in tumor biology and therapy
Authors: Chen Jie , Cui Likun , Lu Shaoteng , Xu Sheng
Published: January 2024

Amino acid metabolism plays important roles in tumor biology and tumor therapy. Accumulating evidence has shown that amino acids contribute to tumorigenesis and tumor immunity by acting as nutrients, signaling molecules, and could also regulate gene transcription and epigenetic modification. Therefore, targeting amino acid metabolism will provide new ideas for tumor treatment and become an important therapeutic approach after surgery, radiotherapy, and chemotherapy. In this review, we systematically summarize the recent progress of amino acid metabolism in malignancy and their interaction with signal pathways as well as their effect on tumor microenvironment and epigenetic modification. Collectively, we also highlight the potential therapeutic application and future expectation.
Digital automation of transdermal drug delivery with high spatiotemporal resolution
Authors: Wang Yihang , Chen Zeka , Davis Brayden , Lipman Will , Xing Sicheng , Zhang Lin , Wang Tian , Hafiz Priyash , Xie Wanrong , Yan Zijie , Huang Zhili , Song Juan , Bai Wubin
Published: January 2024

Transdermal drug delivery is of vital importance for medical treatments. However, user adherence to long-term repetitive drug delivery poses a grand challenge. Furthermore, the dynamic and unpredictable disease progression demands a pharmaceutical treatment that can be actively controlled in real-time to ensure medical precision and personalization. Here, we report a spatiotemporal on-demand patch (SOP) that integrates drug-loaded microneedles with biocompatible metallic membranes to enable electrically triggered active control of drug release. Precise control of drug release to targeted locations (<1 mm2), rapid drug release response to electrical triggers (<30 s), and multi-modal operation involving both drug release and electrical stimulation highlight the novelty. Solution-based fabrication ensures high customizability and scalability to tailor the SOP for various pharmaceutical needs. The wireless-powered and digital-controlled SOP demonstrates great promise in achieving full automation of drug delivery, improving user adherence while ensuring medical precision. Based on these characteristics, we utilized SOPs in sleep studies. We revealed that programmed release of exogenous melatonin from SOPs improve sleep of mice, indicating potential values for basic research and clinical treatments.
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Authors: Bolton William J. , Wilson Richard , Gilchrist Mark , Georgiou Pantelis , Holmes Alison , Rawson Timothy M.
Published: January 2024

Antimicrobial resistance (AMR) and healthcare associated infections pose a significant threat globally. One key prevention strategy is to follow antimicrobial stewardship practices, in particular, to maximise targeted oral therapy and reduce the use of indwelling vascular devices for intravenous (IV) administration. Appreciating when an individual patient can switch from IV to oral antibiotic treatment is often non-trivial and not standardised. To tackle this problem we created a machine learning model to predict when a patient could switch based on routinely collected clinical parameters. 10,362 unique intensive care unit stays were extracted and two informative feature sets identified. Our best model achieved a mean AUROC of 0.80 (SD 0.01) on the hold-out set while not being biased to individuals protected characteristics. Interpretability methodologies were employed to create clinically useful visual explanations. In summary, our model provides individualised, fair, and interpretable predictions for when a patient could switch from IV-to-oral antibiotic treatment. Prospectively evaluation of safety and efficacy is needed before such technology can be applied clinically.
Giant intrinsic photovoltaic effect in one-dimensional van der Waals grain boundaries
Authors: Zhou Yongheng , Zhou Xin , Yu Xiang-Long , Liang Zihan , Zhao Xiaoxu , Wang Taihong , Miao Jinshui , Chen Xiaolong
Published: January 2024

The photovoltaic effect lies at the heart of eco-friendly energy harvesting. However, the conversion efficiency of traditional photovoltaic effect utilizing the built-in electric effect in p-n junctions is restricted by the Shockley-Queisser limit. Alternatively, intrinsic/bulk photovoltaic effect (IPVE/BPVE), a second-order nonlinear optoelectronic effect arising from the broken inversion symmetry of crystalline structure, can overcome this theoretical limit. Here, we uncover giant and robust IPVE in one-dimensional (1D) van der Waals (vdW) grain boundaries (GBs) in a layered semiconductor, ReS2. The IPVE-induced photocurrent densities in vdW GBs are among the highest reported values compared with all kinds of material platforms. Furthermore, the IPVE-induced photocurrent is gate-tunable with a polarization-independent component along the GBs, which is preferred for energy harvesting. The observed IPVE in vdW GBs demonstrates a promising mechanism for emerging optoelectronics applications.
Changes in real-world walking speed following 60-day bed-rest
Authors: Grassi Marcello , Von Der Straten Fiona , Pearce Charlotte , Lee Jessica , Mider Marcin , Mittag Uwe , Sies Wolfram , Mulder Edwin , Daumer Martin , Rittweger Jörn
Published: January 2024

The aim of this work was to explore whether real-world walking speed (RWS) would change as a consequence of 60-day bed-rest. The main hypothesis was that daily RWS would decrease after the bed-rest, with a subsequent recovery during the first days of re-ambulation. Moreover, an exploratory analysis was done in order to understand whether there is an agreement between the loss in RWS after bed-rest and the loss in the maximum oxygen uptake capacity (VO2max), or the loss in maximal vertical jump power (JUMP) respectively. Twenty-four subjects were randomly assigned to one of three groups: a continuous artificial gravity group, an intermittent artificial gravity group, or a control group. The fitted linear mixed effects model showed a significant decrease (p < 0.001) of RWS after the 60-day bed-rest and a subsequent increase (p < 0.001) of RWS during the 14-day recovery period in the study facility. No or little agreement was found between the loss in RWS and the loss in VO2max capacity or the loss in maximal vertical jumping power (RWS vs. VO2max: p = 0.81, RWS vs. JUMP: p = 0.173). Decreased RWS after bed-rest, with a follow-up recovery was observed for all three groups, regardless of the training intervention. This suggests that RWS, also in these settings, was able to reflect a de-conditioning and follow-up recovery process.
Modelling large scale artery haemodynamics from the heart to the eye in response to simulated microgravity
Authors: Caddy Harrison T. , Kelsey Lachlan J. , Parker Louis P. , Green Daniel J. , Doyle Barry J.
Published: January 2024

We investigated variations in haemodynamics in response to simulated microgravity across a semi-subject-specific three-dimensional (3D) continuous arterial network connecting the heart to the eye using computational fluid dynamics (CFD) simulations. Using this model we simulated pulsatile blood flow in an upright Earth gravity case and a simulated microgravity case. Under simulated microgravity, regional time-averaged wall shear stress (TAWSS) increased and oscillatory shear index (OSI) decreased in upper body arteries, whilst the opposite was observed in the lower body. Between cases, uniform changes in TAWSS and OSI were found in the retina across diameters. This work demonstrates that 3D CFD simulations can be performed across continuously connected networks of small and large arteries. Simulated results exhibited similarities to low dimensional spaceflight simulations and measured data—specifically that blood flow and shear stress decrease towards the lower limbs and increase towards the cerebrovasculature and eyes in response to simulated microgravity, relative to an upright position in Earth gravity.
High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
Authors: Clemens-Sewall David , Polashenski Chris , Raphael Ian A. , Parno Matthew , Perovich Don , Itkin Polona , Jaggi Matthias , Jutila Arttu , Macfarlane Amy R. , Matero Ilkka S. O. , Oggier Marc , Visser Ronald J. W. , Wagner David N.
Published: January 2024

Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS). These data are aligned into an ice-fixed, lagrangian reference frame such that topographic changes (e.g., snow accumulation) can be observed for time periods of up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to ± 0.011 m. This data collection and processing workflow is the culmination of several prior measurement campaigns and may be generally applied for repeat TLS measurements on drifting sea ice. We present a description of the data, a software package written to process and align these data, and the philosophy of the data processing. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide valuable context for co-located measurements.
Physical interpretation of non-normalizable harmonic oscillator states and relaxation to pilot-wave equilibrium
Authors: Sen Indrajit
Published: January 2024

Non-normalizable states are difficult to interpret in the orthodox quantum formalism but often occur as solutions to physical constraints in quantum gravity. We argue that pilot-wave theory gives a straightforward physical interpretation of non-normalizable quantum states, as the theory requires only a normalized density of configurations to generate statistical predictions. In order to better understand such states, we conduct the first study of non-normalizable solutions of the harmonic oscillator from a pilot-wave perspective. We show that, contrary to intuitions from orthodox quantum mechanics, the non-normalizable eigenstates and their superpositions are bound states in the sense that the velocity field $$v_y \rightarrow 0$$

v
y

→
0

at large $$\pm y$$

±
y

. We argue that defining a physically meaningful equilibrium density for such states requires a new notion of equilibrium, named pilot-wave equilibrium, which is a generalisation of the notion of quantum equilibrium. We define a new H-function $$H_{pw}$$

H

pw

, and prove that a density in pilot-wave equilibrium minimises $$H_{pw}$$

H

pw

, is equivariant, and remains in equilibrium with time. We prove an H-theorem for the coarse-grained $$H_{pw}$$

H

pw

, under assumptions similar to those for relaxation to quantum equilibrium. We give an explanation of the emergence of quantization in pilot-wave theory in terms of instability of non-normalizable states due to perturbations and environmental interactions. Lastly, we discuss applications in quantum field theory and quantum gravity, and implications for pilot-wave theory and quantum foundations in general.
ScabyNet, a user-friendly application for detecting common scab in potato tubers using deep learning and morphological traits
Authors: Leiva Fernanda , Abdelghafour Florent , Alsheikh Muath , Nagy Nina E. , Davik Jahn , Chawade Aakash
Published: January 2024

Common scab (CS) is a major bacterial disease causing lesions on potato tubers, degrading their appearance and reducing their market value. To accurately grade scab-infected potato tubers, this study introduces “ScabyNet”, an image processing approach combining color-morphology analysis with deep learning techniques. ScabyNet estimates tuber quality traits and accurately detects and quantifies CS severity levels from color images. It is presented as a standalone application with a graphical user interface comprising two main modules. One module identifies and separates tubers on images and estimates quality-related morphological features. In addition, it enables the extraction of tubers as standard tiles for the deep-learning module. The deep-learning module detects and quantifies the scab infection into five severity classes related to the relative infected area. The analysis was performed on a dataset of 7154 images of individual tiles collected from field and glasshouse experiments. Combining the two modules yields essential parameters for quality and disease inspection. The first module simplifies imaging by replacing the region proposal step of instance segmentation networks. Furthermore, the approach is an operational tool for an affordable phenotyping system that selects scab-resistant genotypes while maintaining their market standards.
Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
Authors: Pakornchote Teerachote , Choomphon-anomakhun Natthaphon , Arrerut Sorrjit , Atthapak Chayanon , Khamkaeo Sakarn , Chotibut Thiparat , Bovornratanaraks Thiti
Published: January 2024

The crystal diffusion variational autoencoder (CDVAE) is a machine learning model that leverages score matching to generate realistic crystal structures that preserve crystal symmetry. In this study, we leverage novel diffusion probabilistic (DP) models to denoise atomic coordinates rather than adopting the standard score matching approach in CDVAE. Our proposed DP-CDVAE model can reconstruct and generate crystal structures whose qualities are statistically comparable to those of the original CDVAE. Furthermore, notably, when comparing the carbon structures generated by the DP-CDVAE model with relaxed structures obtained from density functional theory calculations, we find that the DP-CDVAE generated structures are remarkably closer to their respective ground states. The energy differences between these structures and the true ground states are, on average, 68.1 meV/atom lower than those generated by the original CDVAE. This significant improvement in the energy accuracy highlights the effectiveness of the DP-CDVAE model in generating crystal structures that better represent their ground-state configurations.
Reducing greenhouse gas emissions in a bariatric surgical unit is a complex but feasible project
Authors: Dargent Jerome
Published: January 2024

Obesity is a growing issue worldwide, whose causes and consequences are linked to the environment and which therefore has a high carbon footprint. On the other hand, obesity surgery, along with other procedures in surgical suites, entails environmental consequences and responsibilities. We conducted a prospective comparative study on two groups of bariatric interventions (N = 59 and 56, respectively) during two consecutive periods of time (Oct 2021–March 2022), first without and then with specific measures aimed at reducing greenhouse gas emissions related to bariatric procedures by approximately 18%. These measures included recycling of disposable surgical equipment, minimizing its use, and curbing anesthetic gas emissions. Further and continuous efforts/incentives are warranted, including reframing the surgical strategies. Instead of comparing measurements, which is difficult at the present time, we suggest defining an ECO-SCORE in operating rooms, among other healthcare facilities.
Relevant parameters for laser surgery of soft tissue
Authors: Hohmann Martin , Kühn David , Ni Dongqin , Späth Moritz , Ghosh Anindya , Rohde Maximilian , Stelzle Florian , Klämpfl Florian , Schmidt Michael
Published: January 2024

In recent years, the laser has become an important tool in hospitals. Laser surgery in particular has many advantages. However, there is still a lack of the understanding of the influence of the relevant parameters for laser surgery. In order to fill this gap, the parameters pulse frequency, use of an exhaustion system, air cooling, laser power, laser scan speed, laser line energy and waiting time between cuts were analysed by ANOVA using inter-animal variation as a benchmark. The quality of the cuts was quantized by a previously published scoring system. A total of 1710 cuts were performed with a$$\text {CO}_2$$CO2laser. Of the parameters investigated, laser power and scan speed have the strongest influence. Only the right combination of these two parameters allows good results. Other effects, such as the use of pulsed or continuous wave (CW) laser operation, or air cooling, show a small or negligible influence. By modulating only the laser power and scan speed, an almost perfect cut can be achieved with a$$\text {CO}_2$$CO2laser, regardless of the external cooling used or the laser pulse duration or repetition rate from CW to nanosecond pulses.
Health involvement modulates physician preference in the brain during online health consultation
Authors: Zhang Yifan , Wan Yan , Rao Hengyi
Published: January 2024

In traditional offline health-seeking behavior, patients consistently exhibit a preference for similar types of physicians due to limited access to physicians’ information. Nevertheless, with the advent of online health consultation platforms offering comprehensive physicians’ information for patients, raises the question: do patients continue to exhibit uniform preference for physicians? To address this issue, we first employed a behavioral experiment to discern patients’ preferences for different types of physicians’ information under different health involvement, and then conducted a functional magnetic resonance imaging (fMRI) experiment to furnish neural/physiological evidence. The results showed that health involvement modulates patients’ preferences, when health involvement was low, patients had diverse preferences for physicians, that is, different types of physicians’ information could individually impact patients’ choice and could serve as substitutes for each other. When health involvement was high, patients’ preference for physicians were uniform, highlighting that the collective influence of different types of physicians’ information on patients’ choice behavior. From the neural level, an explanation for the results was that the ventromedial prefrontal cortex (VMPFC) and ventral striatum (VS) brain regions, two key brain regions reflecting individual cognitive resource allocation, had different activation levels under different health involvement, indicating that patients allocated different cognitive resources.
Development of novel amino-ethyl chitosan hydrogel for the removal of methyl orange azo dye model
Authors: Tamer Tamer M. , Abbas Rafik , Sadik Wagih A. , Omer Ahmed M. , Abd-Ellatif Mai M. , Mohy-Eldin Mohamed S.
Published: January 2024

The present study introduces a new and straightforward method for the amination of Chitosan. This method involves coupling Chitosan (CS) with 2-chloroethylamine (ENH2) in a single step to produce an amino-ethyl Chitosan derivatives with increased amine group content (CS-ENH2) using click chemistry. The resulting derivatives were then crosslinked using Glutaraldehyde to form amino-ethyl Chitosan Schiff bases. The novel amino-ethyl Chitosan Schiff bases were subsequently utilized as adsorbents for the removal of Methyl Orange (MO) dye from aqueous solutions using a batch technique, and the performance of the produced Schiff bases was compared with that of the native Chitosan Schiff base. The CS-ENH2 adsorbents show improved adsorption capacity up to 300% of the native Chitosan Schiff base with almost double removal rate. The adsorption temperature has a positive impact in general while almost 100% of MO removed at 60 °C using CS-ENH2 adsorbents compared with 66% of the native Chitosan Schiff base adsorbent. The adsorption pH shows a negative impact on the MO removal percent. That effect reduced sharply using the CS-ENH2 adsorbents with higher amination degree while the MO removal percent almost being constant over a wide range of pH; 2.0–7.0. The agitation speed has the same positive effect over all the adsorbents. However, the rate of MO removal percent decreased with increase the agitation speed up to 250 rpm. The experimental findings demonstrated that the highest percentage of MO dye removal was achieved under the conditions of pH 2.0, a temperature of 60 °C, agitation speed of 250 rpm, and adsorption duration of 90 min. These Schiff bases were subsequently characterized using advanced analytical techniques including Fourier Transform Infrared spectroscopy, Thermal analysis (TGA and DSC), and Scanning Electron Microscopy.
The interplay between mental health and dosage for gaming disorder risk: a brief report
Authors: Strojny Paweł , Żuber Magdalena , Strojny Agnieszka
Published: January 2024

The relationship between gaming time and gaming disorder can be moderated by other variables. This study aimed to test the moderating role of mental health. Participants (N = 461) were recruited online. Gaming time was a statistically significant predictor of gaming disorder risk, with an explained variance of 3.3%. The goodness of fit of the model that took into account both moderators (anxiety and depression) improved to 13.9%. The interaction between gaming time and both moderators was significant. The results showed that depression and anxiety acted as moderators of the dosage effect, possibly by amplifying the gratification of playing games and thus contributing to the development of gaming disorder. It may be important in practise, as it seems to place the mental health at the right place, namely among risk factors that can contribute to gaming disorder in combination with a key trigger, which is gaming.
Collaboration and topic switches in science
Authors: Venturini Sara , Sikdar Satyaki , Rinaldi Francesco , Tudisco Francesco , Fortunato Santo
Published: January 2024

Collaboration is a key driver of science and innovation. Mainly motivated by the need to leverage different capacities and expertise to solve a scientific problem, collaboration is also an excellent source of information about the future behavior of scholars. In particular, it allows us to infer the likelihood that scientists choose future research directions via the intertwined mechanisms of selection and social influence. Here we thoroughly investigate the interplay between collaboration and topic switches. We find that the probability for a scholar to start working on a new topic increases with the number of previous collaborators, with a pattern showing that the effects of individual collaborators are not independent. The higher the productivity and the impact of authors, the more likely their coworkers will start working on new topics. The average number of coauthors per paper is also inversely related to the topic switch probability, suggesting a dilution of this effect as the number of collaborators increases.