bluuebunny/crossref_metadata_2025_split huggingface dataset:
Responsive fungal insoles for pressure detection
Authors: Nikolaidou Anna , Phillips Neil , Tsompanas Michail-Antisthenis , Adamatzky Andrew 
Published: March 2023

AbstractMycelium bound composites are promising materials for a diverse range of applications including wearables and building elements. Their functionality surpasses some of the capabilities of traditionally passive materials, such as synthetic fibres, reconstituted cellulose fibres and natural fibres. Thereby, creating novel propositions including augmented functionality (sensory) and aesthetic (personal fashion). Biomaterials can offer multiple modal sensing capability such as mechanical loading (compressive and tensile) and moisture content. To assess the sensing potential of fungal insoles we undertook laboratory experiments on electrical response of bespoke insoles made from capillary matting colonised with oyster fungi Pleurotus ostreatus to compressive stress which mimics human loading when standing and walking. We have shown changes in electrical activity with compressive loading. The results advance the development of intelligent sensing insoles which are a building block towards more generic reactive fungal wearables. Using FitzHugh-Nagumo model we numerically illustrated how excitation wave-fronts behave in a mycelium network colonising an insole and shown that it may be possible to discern pressure points from the mycelium electrical activity.
Establishing a prediction model of severe acute mountain sickness using machine learning of support vector machine recursive feature elimination
Authors: Yang Min , Wu Yang , Yang Xing-biao , Liu Tao , Zhang Ya , Zhuo Yue , Luo Yong , Zhang Nan 
Published: March 2023

AbstractSevere acute mountain sickness (sAMS) can be life-threatening, but little is known about its genetic basis. The study was aimed to explore the genetic susceptibility of sAMS for the purpose of prediction, using microarray data from 112 peripheral blood mononuclear cell (PBMC) samples of 21 subjects, who were exposed to very high altitude (5260 m), low barometric pressure (406 mmHg), and hypobaric hypoxia (VLH) at various timepoints. We found that exposure to VLH activated gene expression in leukocytes, resulting in an inverted CD4/CD8 ratio that interacted with other phenotypic risk factors at the genetic level. A total of 2286 underlying risk genes were input into the support vector machine recursive feature elimination (SVM-RFE) system for machine learning, and a model with satisfactory predictive accuracy and clinical applicability was established for sAMS screening using ten featured genes with significant predictive power. Five featured genes (EPHB3, DIP2B, RHEBL1, GALNT13, and SLC8A2) were identified upstream of hypoxia- and/or inflammation-related pathways mediated by microRNAs as potential biomarkers for sAMS. The established prediction model of sAMS holds promise for clinical application as a genetic screening tool for sAMS.
Seeing through the eyes of the sabertooth Thylacosmilus atrox (Metatheria, Sparassodonta)
Authors: Gaillard Charlène , MacPhee Ross D. E. , Forasiepi Analía M. 
Published: March 2023

AbstractThe evolution of mammalian vision is difficult to study because the actual receptor organs—the eyes—are not preserved in the fossil record. Orbital orientation and size are the traditional proxies for inferring aspects of ocular function, such as stereoscopy. Adaptations for good stereopsis have evolved in living predaceous mammals, and it is reasonable to infer that fossil representatives would follow the same pattern. This applies to the sparassodonts, an extinct group of South American hypercarnivores related to marsupials, with one exception. In the sabertoothThylacosmilus atrox, the bony orbits were notably divergent, like those of a cow or a horse, and thus radically differing from conditions in any other known mammalian predator. Orbital convergence alone, however, does not determine presence of stereopsis; frontation and verticality of the orbits also play a role. We show that the orbits ofThylacosmiluswere frontated and verticalized in a way that favored some degree of stereopsis and compensated for limited convergence in orbital orientation. The forcing function behind these morphological tradeoffs was the extraordinary growth of its rootless canines, which affected skull shape inThylacosmilusin numerous ways, including relative orbital displacement.
SB2301-mediated perturbation of membrane composition in lipid droplets induces lipophagy and lipid droplets ubiquitination
Authors: Jung Jinjoo , Park Jongbeom , Kim Mingi , Ha Jaeyoung , Cho Hana , Park Seung Bum 
Published: March 2023

AbstractLipid droplets (LDs) are involved in various biological events in cells along with their primary role as a storage center for neutral lipids. Excessive accumulation of LDs is highly correlated with various diseases, including metabolic diseases. Therefore, a basic understanding of the molecular mechanism of LD degradation would be beneficial in both academic and industrial research. Lipophagy, a selective autophagy mechanism/LD degradation process, has gained increased attention in the research community. Herein, we sought to elucidate a novel lipophagy mechanism by utilizing the LD-degrading small molecule, SB2301, which activates ubiquitin-mediated lipophagy. Using a label-free target identification method, we revealed that ethanolamine-phosphate cytidylyltransferase 2 (PCYT2) is a potential target protein of SB2301. We also demonstrated that although SB2301 does not modulate PCYT2 function, it induces the cellular translocation of PCYT2 to the LD surface and spatially increases the phosphatidylethanolamine (PE)/phosphatidylcholine (PC) ratio of the LD membrane, causing LD coalescence, leading to the activation of lipophagy process to maintain energy homeostasis.
Converting CO2 to formic acid by tuning quantum states in metal chalcogenide clusters
Authors: Sengupta Turbasu , Khanna Shiv N. 
Published: March 2023

AbstractThe catalytic conversion of CO2 into valuable chemicals is an effective strategy for reducing its adverse impact on the environment. In this work, the formation of formic acid via CO2 hydrogenation on bare and ligated Ti6Se8 clusters is investigated with gradient-corrected density functional theory. It is shown that attaching suitable ligands (i.e., PMe3, CO) to a metal-chalcogenide cluster transforms it into an effective donor/acceptor enabling it to serve as an efficient catalyst. Furthermore, by controlling the ratio of the attached donor/acceptor ligands, it is possible to predictably alter the barrier heights of the CO2 hydrogenation reaction and, thereby, the rate of CO2 conversion. Our calculation further reveals that by using this strategy, the barrier heights of CO2 hydrogenation can be reduced to ~0.12 eV or possibly even lower, providing unique opportunities to control the reaction rates by using different combinations of donor/acceptor ligands.
Hydrogen absorption and desorption in the V–Al–H system
Authors: Habermann Franziska , Burkmann Konrad , Hansel Bastian , Störr Bianca , Schimpf Christian , Seidel Jürgen , Bertau Martin , Mertens Florian 
Published: March 2023

Non-substitutional Al improves the hydrogenation behaviour of V by lowering the equilibrium pressures and increasing the hydrogen capacity. Attempts to synthesise the hypothetical V(AlH4)x were not successful indicating its instability.
Diosmetin alleviates benzo[a]pyrene-exacerbated H1N1 influenza virus-induced acute lung injury and dysregulation of inflammation through modulation of the PPAR-γ-NF-κB/P38 MAPK signaling axis
Authors: Zhou Beixian , Wang Linxin , Yang Sushan , Liang Yueyun , Zhang Yuehan , Pan Xiping , Li Jing 
Published: March 2023

Diosmetin suppressed the enhanced pro-inflammatory response and apoptosis via inhibition of the augmentation of NF-κB and P38 kinase activation in a PPAR-γ-dependent manner, facilitating the alleviation of B[a]P-exacerbated H1N1 virus-induced respiratory illness.
Hormonal regulation of metabolism—recent lessons learned from insulin and estrogen
Authors: Tao Zhipeng , Cheng Zhiyong 
Published: March 2023

AbstractHormonal signaling plays key roles in tissue and metabolic homeostasis. Accumulated evidence has revealed a great deal of insulin and estrogen signaling pathways and their interplays in the regulation of mitochondrial, cellular remodeling, and macronutrient metabolism. Insulin signaling regulates nutrient and mitochondrial metabolism by targeting the IRS-PI3K-Akt-FoxOs signaling cascade and PGC1α. Estrogen signaling fine-tunes protein turnover and mitochondrial metabolism through its receptors (ERα, ERβ, and GPER). Insulin and estrogen signaling converge on Sirt1, mTOR, and PI3K in the joint regulation of autophagy and mitochondrial metabolism. Dysregulated insulin and estrogen signaling lead to metabolic diseases. This article reviews the up-to-date evidence that depicts the pathways of insulin signaling and estrogen-ER signaling in the regulation of metabolism. In addition, we discuss the cross-talk between estrogen signaling and insulin signaling via Sirt1, mTOR, and PI3K, as well as new therapeutic options such as agonists of GLP1 receptor, GIP receptor, and β3-AR. Mapping the molecular pathways of insulin signaling, estrogen signaling, and their interplays advances our understanding of metabolism and discovery of new therapeutic options for metabolic disorders.
Refinement Co‐supervision network for real‐time semantic segmentation
Authors: Dong Yongsheng , Zhao Kaiyuan , Zheng Lintao , Yang Haotian , Liu Qing , Pei Yuanhua 
Published: March 2023

AbstractSemantic segmentation is a fundamental technology for autonomous driving. It has a high demand for inference speed and accuracy. However, a good trade‐off between accuracy and latency is yet not present in existing semantic segmentation approaches. Due to the limitation of speed, the authors cannot increase the number of network layers without limit and cannot design modules like in the networks without real‐time. It is a challenging problem how to design a model with good performance under limited resources. To alleviate these issues, in this study, the authors propose a refinement co‐supervision network (RCNet), which is real‐time on a high‐resolution image (1024×2048). The authors first construct the context refinement module, which can provide low computation cost way for obtaining the large receptive field and context information. Furthermore, a boundary co‐supervision mechanism is proposed. It strengthens the optimisation of easily neglected boundaries and small targets. Experimental results reveal that the proposed RCNet outperforms seven representative semantic segmentation methods.
RRN: A differential private approach to preserve privacy in image classification
Authors: Shen Zhidong , Zhong Ting , Sun Hui , Qi Baiwen 
Published: March 2023

AbstractThe wide application of image classification has given rise to many intelligent systems, such as face recognition systems, which makes our life more convenient. However, the ensuing privacy leakage problem has become increasingly serious. The training of a deep neural network requires lots of data, which may contain sensitive information of users and may be exploited by data collectors. A perturbation algorithm named RRN is proposed for image data based on local differential privacy, which provides a rigorous privacy guarantee. Existing solutions have low accuracy due to the high sensitivity of an image; the authors' method combines the Randomized Response mechanism with the Laplace mechanism to solve this problem. Experiments were conducted on the MNIST and CIFAR‐10 datasets to show the effectiveness of the algorithm. Experimental results shows that the model is better than baseline models. The algorithm was also implemented on the commonly used model in deep learning, the VGG model, which can achieve 96.4% accuracy in the non‐private version on the CIFAR‐10 dataset. The accuracy of the differential private VGG model based on the RRN algorithm is 83% when , which is still excellent. The experimental results show that the RRN algorithm can both preserve privacy and data utility.
Arbitrarily fast delayed signal cancellation PLL for grid‐integration of renewable energy sources
Authors: Ahmed Hafiz , Ushirobira Rosane , Efimov Denis 
Published: March 2023

AbstractIntegrating renewable energy sources into an unbalanced distribution network requires fast and accurate extraction of fundamental frequency positive‐ and negative‐sequence components from the unbalanced three‐phase grid voltage signals. For this purpose, various methods are already available in the literature. Out of them, delayed signal cancellation (DSC) is prevalent. Conventional DSC can separate the sequence components using a quarter‐cycle delay. Fast DSC tools can achieve the same with less than a quarter‐cycle delay. However, neither conventional nor fast DSC can handle DC offset without requiring additional delayed signals. This article addresses this issue by proposing a modified DSC to estimate the sequence components with DC offset rejection and having arbitrarily fast convergence speed, that is, low memory requirement. Two equidistant delayed samples of the measured grid voltages/currents are required to implement the proposed technique and can easily be applied in a phase‐locked loop (PLL). Comparative experimental results demonstrate the suitability of the proposed approach over other DSC methods.
GaiaData Release 3
Authors: Eyer L. , Audard M. , Holl B. , Rimoldini L. , Carnerero M. I. , Clementini G. , De Ridder J. , Distefano E. , Evans D. W. , Gavras P. , Gomel R. , Lebzelter T. , Marton G. , Mowlavi N. , Panahi A. , Ripepi V. , Wyrzykowski Ł. , Nienartowicz K. , Jevardat de Fombelle G. , Lecoeur-Taibi I. , Rohrbasser L. , Riello M. , García-Lario P. , Lanzafame A. C. , Mazeh T. , Raiteri C. M. , Zucker S. , Ábrahám P. , Aerts C. , Aguado J. J. , Anderson R. I. , Bashi D. , Binnenfeld A. , Faigler S. , Garofalo A. , Karbevska L. , Kóspál Á , Kruszyńska K. , Kun M. , Lanza A. F. , Leccia S. , Marconi M. , Messina S. , Molinaro R. , Molnár L. , Muraveva T. , Musella I. , Nagy Z. , Pagano I. , Palaversa L. , Plachy E. , Prša A. , Rybicki K. A. , Shahaf S. , Szabados L. , Szegedi-Elek E. , Trabucchi M. , Barblan F. , Grenon M. , Roelens M. , Süveges M. 
Published: March 2023

Context.Gaiahas been in operations since 2014, and two full data releases (DR) have been delivered so far: DR1 in 2016 and DR2 in 2018. The thirdGaiadata release expands from the early data release (EDR3) in 2020, which contained the five-parameter astrometric solution and mean photometry for 1.8 billion sources by providing 34 months of multi-epoch observations that allowed us to systematically probe, characterise, and classify variable celestial phenomena.Aims.We present a summary of the variability processing and analysis of the photometric and spectroscopic time series of 1.8 billion sources carried out forGaiaDR3.Methods.We used statistical and machine learning methods to characterise and classify the variable sources. Training sets were built from a global revision of major published variable star catalogues. For a subset of classes, specific detailed studies were conducted to confirm their class membership and to derive parameters that are adapted to the peculiarity of the considered class.Results.In total, 10.5 million objects are identified as variable inGaiaDR3 and have associated time series inG,GBP, andGRPand, in some cases, radial velocity time series. The DR3 variable sources subdivide into 9.5 million variable stars and 1 million active galactic nuclei or ‘quasars’. In addition, supervised classification identified 2.5 million galaxies thanks to spurious variability induced by the extent of these objects. The variability analysis output in the DR3 archive amounts to 17 tables, containing a total of 365 parameters. We publish 35 types and subtypes of variable objects. For 11 variable types, additional specific object parameters are published. Here, we provide an overview of the estimated completeness and contamination of most variability classes.Conclusions.Thanks toGaia, we present the largest whole-sky variability analysis based on coherent photometric, astrometric, and spectroscopic data. FutureGaiadata releases will more than double the span of time series and the number of observations, allowing the publication of an even richer catalogue.
Aux sources de la compréhensionde la maladie rénale chronique
Authors: Vergnaud Paul , Cohen Camille , Isnard Pierre 
Published: March 2023

L’insuffisance rénale chronique est une définition biologique caractérisée par la diminution du débit de filtration glomérulaire. Quelle qu’en soit la cause initiale, son origine est toujours une réduction néphronique, une diminution du nombre d’unités fonctionnelles du rein, appelées néphrons. Après une agression rénale initiale, les néphrons sains restants vont assurer la filtration permettant le maintien d’une fonction rénale normale. Mais, progressivement, ces néphrons vont s’altérer et vont être remplacés par du tissu fibreux. Cette altération du parenchyme va entraîner un ensemble de symptômes biologiques et histologiques réunis sous le terme de maladie rénale chronique : augmentation de la créatininémie, protéinurie, glomérulosclérose et fibrose interstitielle.
Endoscopic full-thickness plication for the treatment of gastroesophageal reflux after peroral endoscopic myotomy: a randomized sham-controlled study
Authors: Maydeo Amit , Patil Gaurav , Kamat Nagesh , Dalal Ankit , Vadgaonkar Amol , Parekh Sanil , Daftary Rajen , Vora Sehajad 
Published: March 2023

Background Endoscopic full-thickness plication (EFTP) has shown promising results in gastroesophageal reflux disease (GERD), but its efficacy in GERD after peroral endoscopic myotomy (POEM) is unclear.
Methods In a prospective, randomized trial of post-POEM patients dependent on proton pump inhibitors (PPIs) for documented GERD, patients underwent EFTP (plication to remodel the gastroesophageal flap valve) or an endoscopic sham procedure (positioning of the EFTP device, but no stapling). The primary end point was improvement in acid exposure time (AET) < 6 % (3 months). Secondary end points included improvement in esophagitis (3 months), GERD Questionnaire (GERDQ) score (3 and 6 months), and PPI usage (6 months).
Results 60 patients were randomized (30 in each group). At 3 months, a significantly higher proportion of patients achieved improvement in AET < 6 % in the EFTP group compared with the sham group (69.0 % [95 %CI 52.1–85.8] vs. 10.3 % [95 %CI 0–21.4], respectively). EFTP was statistically superior to sham (within-group analysis) in improving esophageal AET, DeMeester Score, and all reflux episodes (P < 0.001). A nonsignificant improvement in esophagitis was noted in the EFTP group (P = 0.14). Median GERDQ scores (3 months) were significantly better (P < 0.001) in the EFTP group, and the same trend continued at 6 months. A higher proportion of patients in the sham group continued to use PPIs (72.4 % [95 %CI 56.1–88.7] vs. 27.6 % [95 %CI 11.3–43.8]). There were no major adverse events in either group.
Conclusion EFTP improved post-POEM GERD symptoms, 24-hour pH impedance findings with normalization in one-third, and reduced PPI usage at 6 months.
I2/DTBP Promoted Synthesis of C3-Carbonylated Imidazopyridines from Chromones and 2-Aminopyridines via (3+2) Cycloaddition
Authors: Zhong Wenwu , Zhao Changkuo , Huang Qiang , Wu Lvjia , Shi Jihai , Li Jiangdong , Lu Wei , Tang Fushan , Zhu Lei 
Published: March 2023

AbstractAn I2/DTBP-promoted (3+2) cycloaddition reaction of 2-aminopyridines and chromones is reported. The work provides a simple and efficient approach to access imidazopyridines scaffold in moderate to good yields. I2/DTBP as an initiator and oxidant was used to realize the tandem (3+2) cycloaddition/oxidative aromatization. Available starting materials, excellent functional-group tolerance, potential drug activity of the products, and application in production on a gram scale are advantageous features of this strategy. Moreover, the obtained products provide a key active fragment for the synthesis of cabozantinib analogues, which has the potential to be developed as an anticancer agent.
Clinical Applications of the Intercostal Artery Perforator Flap for Trunk Reconstruction
Authors: Kim Young Jun , Choi Woo Young , Cheon Ji Seon , Choi Min Hyub 
Published: March 2023

Abstract
Background Trunk defects can occur because of surgical site infections after spinal surgery, resection of malignant tumors, or trauma. Herein, we present our experience of using intercostal artery perforator (ICAP) flaps to reconstruct trunk defects without noteworthy complications. Fourteen patients underwent reconstruction with ICAP flaps between March 2015 and March 2019.
Methods Patients' data, including age, sex, the cause of the defect, defect size, perforator location, flap size, complications, and follow-up period, were retrospectively reviewed. The mean age of the patients was 56.5 years (range, 19–80 years). All operations were performed after the results of bacterial culture from the wound showed no microbial growth. We found reliable perforators around the defect using Doppler ultrasonography. The perforator flaps were elevated with a pulsatile perforator and rotated in a propeller fashion to the defects. We performed five dorsal and two lateral ICAP flaps. The mean flap dimensions were 12 × 5.5 cm2 (range, 6 × 5 to 18 × 8 cm2).
Results Primary closure of the donor site was performed. Marginal congestion was observed as a complication in one case, but it healed with no need for revision. The mean follow-up period was 8 months. All patients were satisfied with the surgical outcomes.
Conclusion ICAP flaps can be easily mobilized, thereby reducing donor site morbidity without sacrificing the underlying muscles for trunk reconstruction. Therefore, these flaps are useful options for the reconstruction of trunk defects.
Three-Dimensional Evaluation of Skeletal Stability following Surgery-First Orthognathic Approach: Validation of a Simple and Effective Method
Authors: Mansour Nabil M. , Abdelshaheed Mohamed E. , El-Sabbagh Ahmed H. , El-Din Ahmed M. Bahaa , Kim Young Chul , Choi Jong-Woo 
Published: March 2023

Abstract
Background The three-dimensional (3D) evaluation of skeletal stability after orthognathic surgery is a time-consuming and complex procedure. The complexity increases further when evaluating the surgery-first orthognathic approach (SFOA). Herein, we propose and validate a simple time-saving method of 3D analysis using a single software, demonstrating high accuracy and repeatability.
Methods This retrospective cohort study included 12 patients with skeletal class 3 malocclusion who underwent bimaxillary surgery without any presurgical orthodontics. Computed tomography (CT)/cone-beam CT images of each patient were obtained at three different time points (preoperation [T0], immediately postoperation [T1], and 1 year after surgery [T2]) and reconstructed into 3D images. After automatic surface-based alignment of the three models based on the anterior cranial base, five easily located anatomical landmarks were defined to each model. A set of angular and linear measurements were automatically calculated and used to define the amount of movement (T1–T0) and the amount of relapse (T2–T1). To evaluate the reproducibility, two independent observers processed all the cases, One of them repeated the steps after 2 weeks to assess intraobserver variability. Intraclass correlation coefficients (ICCs) were calculated at a 95% confidence interval. Time required for evaluating each case was recorded.
Results Both the intra- and interobserver variability showed high ICC values (more than 0.95) with low measurement variations (mean linear variations: 0.18 mm; mean angular variations: 0.25 degree). Time needed for the evaluation process ranged from 3 to 5 minutes.
Conclusion This approach is time-saving, semiautomatic, and easy to learn and can be used to effectively evaluate stability after SFOA.