bluuebunny/crossref_metadata_2025_split huggingface dataset:
A pilot study comparing the efficacy of autologous cultured fibroblast injections with hyaluronic acid fillers for treating nasolabial folds
Authors: Wanitphakdeedecha Rungsima , Ng Janice Natasha C. , Phumariyapong Phumithep , Nokdhes Ya-Nin , Patthamalai Poramin , Tantrapornpong Ploypailin , Suphatsathienkul Panittra , Apinuntham Chalermkwan , Yan Chadakan , Nanchaipruek Yanisorn , Thongjaroensirikul Panwadee , Maneeprasopchoke Pitchaya , Techapichetvanich Thanya , Eimpunth Sasima , Manuskiatti Woraphong , Thanachaipiwat Saowalak , Panich Uraiwan 
Published: April 2023

AbstractAutologous cultured fibroblast injections for soft tissue augmentation are a potential alternative to other filler materials. No studies have compared autologous fibroblast injections and hyaluronic acid (HA) fillers for treating nasolabial folds (NLFs). To compare the efficacies and safeties of autologous cultured fibroblast injections and HA fillers for treating NLFs. This prospective, evaluator-blinded, pilot study enrolled 60 Thai female adult patients diagnosed with moderate to severe NLFs. They were randomized to receive either 3 treatments of autologous fibroblasts at 2-week intervals or 1 treatment with HA fillers. The primary outcome was the clinical improvement of the NLFs graded by 2 blinded dermatologists immediately after injection and at 1-, 3-, 6-, and 12-month follow-ups. Objective measurement of the NLF volume was evaluated. Patient self-assessment scores, pain scores, and adverse reactions were recorded. Of the 60 patients, 55 (91.7%) completed the study protocol. The NLF volumes improved significantly in the autologous fibroblast group at all follow-ups relative to baseline (P = 0.000, 0.004, 0.000, 0.000, and 0.003). The patients in the autologous fibroblast group rated more noticeable NLF improvements than those in the HA filler group (3-month follow-up, 58.41% vs. 54.67%; 6-month follow-up, 52.50% vs. 46%; 12-month follow-up, 44.55% vs. 31.33%). No serious adverse reactions were recorded. Autologous fibroblast injections are safe and effective for treating NLFs. These injections also promise sustained growth of living cells, possibly leading to a greater persistence than shown by other fillers.
Modeling, dynamical analysis and numerical simulation of a new 3D cubic Lorenz-like system
Authors: Wang Haijun , Ke Guiyao , Pan Jun , Su Qifang 
Published: April 2023

AbstractLittle seems to be considered about the globally exponentially asymptotical stability of parabolic type equilibria and the existence of heteroclinic orbits in the Lorenz-like system with high-order nonlinear terms. To achieve this target, by adding the nonlinear termsyzand$$x^{2}y$$x2yto the second equation of the system, this paper introduces the new 3D cubic Lorenz-like system:$$\dot{x}=a(y - x)$$x˙=a(y-x),$$\dot{y}=b_{1}y+b_{2}yz+b_{3}xz+b_{4}x^{2}y$$y˙=b1y+b2yz+b3xz+b4x2y,$$\dot{z}= -cz + y^{2}$$z˙=-cz+y2, which does not belong to the generalized Lorenz systems family. In addition to giving rise to generic and degenerate pitchfork bifurcation, Hopf bifurcation, hidden Lorenz-like attractors, singularly degenerate heteroclinic cycles with nearby chaotic attractors, etc., one still rigorously proves that not only the parabolic type equilibria$$S_{x} = \{(x, x, \frac{x^{2}}{c})|x\in \mathbb {R}, c\ne 0\}$$Sx={(x,x,x2c)|x∈R,c≠0}are globally exponentially asymptotically stable, but also there exists a pair of symmetrical heteroclinic orbits with respect to thez-axis, as most other Lorenz-like systems. This study may offer new insights into revealing some other novel dynamic characteristics of the Lorenz-like system family.
Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images
Authors: Den Hiroki , Ito Junichi , Kokaze Akatsuki 
Published: April 2023

AbstractDevelopmental dysplasia of the hip (DDH) is a cluster of hip development disorders and one of the most common hip diseases in infants. Hip radiography is a convenient diagnostic tool for DDH, but its diagnostic accuracy is dependent on the interpreter’s level of experience. The aim of this study was to develop a deep learning model for detecting DDH. Patients younger than 12 months who underwent hip radiography between June 2009 and November 2021 were selected. Using their radiography images, transfer learning was performed to develop a deep learning model using the “You Only Look Once” v5 (YOLOv5) and single shot multi-box detector (SSD). A total of 305 anteroposterior hip radiography images (205 normal and 100 DDH hip images) were collected. Of these, 30 normal and 17 DDH hip images were used as the test dataset. The sensitivity and the specificity of our best YOLOv5 model (YOLOv5l) were 0.94 (95% confidence interval [CI] 0.73–1.00) and 0.96 (95% CI 0.89–0.99), respectively. This model also outperformed the SSD model. This is the first study to establish a model for detecting DDH using YOLOv5. Our deep learning model provides good diagnostic performance for DDH. We believe our model is a useful diagnostic assistant tool.
Deep transfer learning strategy for efficient domain generalisation in machine fault diagnosis
Authors: Asutkar Supriya , Tallur Siddharth 
Published: April 2023

AbstractAutomated fault diagnosis algorithms based on vibration sensor recordings play an important role in determining the state of health of the machines. Data-driven approaches demand a large amount of labelled data to build reliable models. The performance of such lab-trained models degrades when deployed in practical use cases in the presence of distinct distribution target domain datasets. In this work, we present a novel deep transfer learning strategy that fine-tunes the trainable parameters of the lower (convolutional) layers with respect to the changing target domain datasets and transfers the parameters of the deeper (dense) layers from the source domain for efficient domain generalisation and fault classification. The performance of this strategy is evaluated by considering two different target domain datasets and studying the sensitivity of fine-tuning individual layers in the networks using time-frequency representations of the vibration signals (scalograms) as inputs. We observe that the proposed transfer learning strategy yields near-perfect accuracy, even for use cases where low-precision sensors are used for data collection and unlabelled run-to-failure data with a limited number of training samples.
The mechanism of whey protein and blueberry juice mixed system fermented with Lactobacillus inhibiting Escherichia coli during storage
Authors: Qian Yu , Gui-bing Lu , Wen-qiong Wang , Cong-Cong Tang , Ruixia Gu 
Published: April 2023

AbstractThe aim of this study was to identify the antimicrobial effect and mechanism of whey protein and blueberry juice mixed systems fermented with Lactobacillus against Escherichia coli during storage. The whey protein and blueberry juice mixed systems were fermented with L. casei M54, L. plantarum 67, S. thermophiles 99 and L. bulgaricus 134 and had different antibacterial activities against E. coli during storage. The antimicrobial activity of the mixed whey protein and blueberry juice mixture systems was the highest, with an inhibition zone diameter of approximately 230 mm, compared with the whey protein or blueberry juice systems alone. There were no viable E. coli cells 7 h after treatment with of the whey protein and blueberry juice mixed systems as determined by survival curve analysis. Analysis of the inhibitory mechanism showed that the release of alkaline phosphatase, electrical conductivity, protein and pyruvic acid contents, and aspartic acid transaminase and alanine aminotransferase activity in E. coli increased. These results demonstrated that these mixed systems fermented with Lactobacillus, especially those containing blueberries, could inhibit the growth of E. coli and even cause cell death by destroying the cell membrane and cell wall.
Characterization of the m6A regulator-mediated methylation modification patterns in oral squamous cell carcinoma
Authors: Pan Lu , She He , Wang Keyi , Xia Wenhui , Tang Haonan , Fan Yuan , Ye Jinhai 
Published: April 2023

AbstractN6-methyladenosine (m6A) is a form of posttranscriptional modification that plays important roles in cancer including oral squamous cell carcinoma (OSCC). Most studies to date have focused on a limited number of regulators and oncogenic pathways, thus failing to provide comprehensive insight into the dynamic effects of m6A modification. In addition, the role of m6A modification in shaping immune cell infiltration in OSCC has yet to be clarified. This study was designed to assess m6A modification dynamics in OSCC and to understand how such modifications influence clinical immunotherapeutic treatment outcomes. m6A modification patterns linked with 23 m6A regulators were analyzed in 437 OSCC patients from TCGA and GEO cohorts. These patterns were then quantified through m6A score based on algorithms derived from a principal component analysis (PCA) approach. The m6A modification patterns of OSCC samples were grouped into two clusters based on the m6A regulators expression, and immune cell infiltration was linked with the 5-year survival outcomes of patients in these clusters. 1575 genes associated with OSCC patient prognosis were identified and used to re-cluster these samples into two groups. Patients in clusters exhibiting higher levels of m6A regulator expression exhibited poorer overall survival (OS), whereas patients with high m6A scores survived for longer (p < 0.001). The overall mortality rates in the groups of patients with low and high m6A scores were 55% and 40%, respectively, and the m6A score distributions in clusters of patients grouped by m6A modification patterns and gene expression further supported the link between a high m6A score and better prognostic outcomes. Immunophenoscore (IPS) values for patients in different m6A score groups suggested that the use of PD-1-specific antibodies or CTLA-4 inhibitors alone or in combination would yield superior treatment outcomes in patients in the high-m6A score group relative to the low-m6A score group. m6A modification patterns are relevant to heterogeneity in OSCC. Detailed analyses of m6A modification patterns may thus offer novel insight regarding immune cell infiltration within the OSCC tumor microenvironment, guiding novel efforts to provide patients with more effective immunotherapeutic interventions.
Probiotic potential of Saccharomyces cerevisiae GILA with alleviating intestinal inflammation in a dextran sulfate sodium induced colitis mouse model
Authors: Kil Bum Ju , Pyung Young Jin , Park Hyunjoon , Kang Jun-Won , Yun Cheol-Heui , Huh Chul Sung 
Published: April 2023

AbstractRecently, several probiotic products have been developed; however, most probiotic applications focused on prokaryotic bacteria whereas eukaryotic probiotics have received little attention. Saccharomyces cerevisiae yeast strains are eukaryotes notable for their fermentation and functional food applications. The present study investigated the novel yeast strains isolated from Korean fermented beverages and examined their potential probiotic characteristics. We investigated seven strains among 100 isolates with probiotic characteristics further. The strains have capabilities such as auto-aggregation tendency, co-aggregation with a pathogen, hydrophobicity with n-hexadecane,1,1-diphenyl-2-picrylhydrazyl scavenging effect, survival in simulated gastrointestinal tract conditions and the adhesion ability of the strains to the Caco-2 cells. Furthermore, all the strains contained high cell wall glucan content, a polysaccharide with immunological effects. Internal transcribed spacer sequencing identified the Saccharomyces strains selected in the present study as probiotics. To examine the effects of alleviating inflammation in cells, nitric oxide generation in raw 264.7 cells with S. cerevisiae showed that S. cerevisiae GILA could be a potential probiotic strain able to alleviate inflammation. Three probiotics of S. cerevisiae GILA strains were chosen by in vivo screening with a dextran sulfate sodium-induced colitis murine model. In particular, GILA 118 down-regulates neutrophil–lymphocyte ratio and myeloperoxidase in mice treated with DSS. The expression levels of genes encoding tight junction proteins in the colon were upregulated, cytokine interleukin-10 was significantly increased, and tumor necrosis factor-α was reduced in the serum.
A human iPSC-derived hepatocyte screen identifies compounds that inhibit production of Apolipoprotein B
Authors: Liu Jui-Tung , Doueiry Caren , Jiang Yu-lin , Blaszkiewicz Josef , Lamprecht Mary Paige , Heslop James A. , Peterson Yuri K. , Carten Juliana Debrito , Traktman Paula , Yuan Yang , Khetani Salman R. , Twal Waleed O. , Duncan Stephen A. 
Published: April 2023

AbstractFamilial hypercholesterolemia (FH) patients suffer from excessively high levels of Low Density Lipoprotein Cholesterol (LDL-C), which can cause severe cardiovascular disease. Statins, bile acid sequestrants, PCSK9 inhibitors, and cholesterol absorption inhibitors are all inefficient at treating FH patients with homozygous LDLR gene mutations (hoFH). Drugs approved for hoFH treatment control lipoprotein production by regulating steady-state Apolipoprotein B (apoB) levels. Unfortunately, these drugs have side effects including accumulation of liver triglycerides, hepatic steatosis, and elevated liver enzyme levels. To identify safer compounds, we used an iPSC-derived hepatocyte platform to screen a structurally representative set of 10,000 small molecules from a proprietary library of 130,000 compounds. The screen revealed molecules that could reduce the secretion of apoB from cultured hepatocytes and from humanized livers in mice. These small molecules are highly effective, do not cause abnormal lipid accumulation, and share a chemical structure that is distinct from any known cholesterol lowering drug.
RT-IVT method allows multiplex real-time quantification of in vitro transcriptional mRNA production
Authors: Zhang Fengyu , Wang Yipeng , Wang Xiaomeng , Dong Hongjie , Chen Min , Du Ning , Wang Hongwei , Hu Wei , Zhang Kundi , Gu Lichuan 
Published: April 2023

AbstractFor the past 30 years, in vitro transcription (IVT) technology has been extensively used for RNA production or for basic transcriptional mechanism research. However, methods for mRNA quantification still need to be improved. In this study, we designed a RT-IVT method using binary fluorescence quencher (BFQ) probes and the PBCV-1 DNA ligase to quantify mRNA production in real-time by fluorescence resonance energy transfer (FRET) and RNA-splinted DNA ligation. Compared with existing methods, the RT-IVT method is inexpensive and non-radioactive, and can detect mRNA production in unpurified systems in real-time and shows high sensitivity and selectivity. The activity of T7 RNA polymerase and Escherichia coli RNA polymerase holoenzyme was then characterized with this method. We then multiplexed the real-time mRNA quantification for three T7 promoters on a RT-PCR thermocycler by using BFQ probes with different colored fluorophores that were specific for each target. Ultimately, we created an inexpensive multiplexed method to quantify mRNA production in real-time, and future research could use these methods to measure the affinity of transcriptional repressors to their target DNA sequence.
Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex
Authors: Varley Thomas F. , Pope Maria , Faskowitz Joshua , Sporns Olaf 
Published: April 2023

AbstractOne of the most well-established tools for modeling the brain is the functional connectivity network, which is constructed from pairs of interacting brain regions. While powerful, the network model is limited by the restriction that only pairwise dependencies are considered and potentially higher-order structures are missed. Here, we explore how multivariate information theory reveals higher-order dependencies in the human brain. We begin with a mathematical analysis of the O-information, showing analytically and numerically how it is related to previously established information theoretic measures of complexity. We then apply the O-information to brain data, showing that synergistic subsystems are widespread in the human brain. Highly synergistic subsystems typically sit between canonical functional networks, and may serve an integrative role. We then use simulated annealing to find maximally synergistic subsystems, finding that such systems typically comprise ≈10 brain regions, recruited from multiple canonical brain systems. Though ubiquitous, highly synergistic subsystems are invisible when considering pairwise functional connectivity, suggesting that higher-order dependencies form a kind of shadow structure that has been unrecognized by established network-based analyses. We assert that higher-order interactions in the brain represent an under-explored space that, accessible with tools of multivariate information theory, may offer novel scientific insights.
Phytoplankton abundance in the Barents Sea is predictable up to five years in advance
Authors: Fransner Filippa , Olsen Are , Årthun Marius , Counillon François , Tjiputra Jerry , Samuelsen Annette , Keenlyside Noel 
Published: April 2023

AbstractThe Barents Sea is a highly biologically productive Arctic shelf sea with several commercially important fish stocks. Interannual-to-decadal predictions of its ecosystem would therefore be valuable for marine resource management. Here, we demonstrate that the abundance of phytoplankton, the base of the marine food web, can be predicted up to five years in advance in the Barents Sea with the Norwegian Climate Prediction Model. We identify two different mechanisms giving rise to this predictability; 1) in the southern ice-free Atlantic Domain, skillful prediction is a result of the advection of waters with anomalous nitrate concentrations from the Subpolar North Atlantic; 2) in the northern Polar Domain, phytoplankton predictability is a result of the skillful prediction of the summer ice concentration, which influences the light availability. The skillful prediction of the phytoplankton abundance is an important step forward in the development of numerical ecosystem predictions of the Barents Sea.
A new pulsar timing model for scalar-tensor gravity with applications to PSR J2222-0137 and pulsar-black hole binaries
Authors: Batrakov A. , Hu H. , Wex N. , Freire P. C. C. , Venkatraman Krishnan V. , Kramer M. , Guo Y. J. , Guillemot L. , McKee J. W. , Cognard I. , Theureau G. 
Published: April 2023

Context. Scalar-tensor gravity (STG) theories are well-motivated alternatives to general relativity (GR). One class of STG theories, Damour–Esposito–Farèse (DEF) gravity, has a massless scalar field with two arbitrary coupling parameters. We are interested in this theory because, despite its simplicity, it predicts a wealth of different phenomena, such as dipolar gravitational wave emission and spontaneous scalarisation of neutron stars (NSs). These phenomena of DEF gravity can be tested by timing binary radio pulsars. In the methods used so far, intermediate phenomenological post-Keplerian (PK) parameters are measured by fitting the corresponding timing model to the timing data whose values are then compared to the predictions from the alternative theory being tested. However, this approach loses information between intermediate steps and does not account for possible correlations between PK parameters.
Aims. We aim to develop a new binary pulsar timing model ‘DDSTG’ (called after Damour, Deruelle and STG) to enable more precise tests of STG theories based on a minimal set of binary parameters. The expressions for PK parameters in DEF gravity are self-consistently incorporated into the model. PK parameters depend on two masses which are now directly fitted to the data without intermediate steps. The new technique takes into account all possible correlations between PK parameters naturally.
Methods. Grids of physical parameters of NSs were calculated in the framework of DEF gravity for a set of 11 equations of state. Automatic differentiation (AutoDiff) technique was employed, which aids in the calculation of gravitational form factors of NSs with a higher precision than in previous works. The pulsar timing program TEMPO was selected as a framework for the realisation of the DDSTG model. The implemented model is applicable to any type of pulsar companions. We also simulated realistic future radio-timing datasets for a number of large radio observatories for the binary pulsar PSR J2222-0137 and three generic pulsar-black hole (PSR-BH) systems.
Results. We applied the DDSTG model to the most recently published observational data for PSR J2222-0137. The obtained limits on DEF gravity parameters for this system confirm and improve previous results. New limits are also the most reliable because DEF gravity is directly fitted to the data. We argue that future observations of PSR J2222-0137 can significantly improve the limits and that PSR-BH systems have the potential to place the tightest limits in certain areas of the DEF gravity parameter space.
Retrieving planet formation parameters of WASP-77Ab using SimAb
Authors: Khorshid N. , Min M. , Désert J. M. 
Published: April 2023

Context. The atmospheric compositions of planets offer a unique view into their respective formation processes. State-of-the-art observatories and techniques are finally able to provide high-precision data on atmospheric composition that can be used to constrain planet formation.
Aims. In this context, we focus on the formation of WASP-77Ab based on previous observations of its atmosphere, which have provided precise C/O and metallicity measurements.
Methods. We use the SimAb planet formation simulation to model the formation of WASP-77Ab. We assume two compositions for the disk WASP-77Ab was formed within: one of a solar composition and one that represents the composition of WASP-77A. In addition, we consider two different scenarios regarding the migration of the planet and we study the possible planet formation paths that reproduce the composition of WASP-77Ab.
Results. This work shows that the planet is expected to have formed in a disk where not many planetesimals could be accreted. Moreover, we demonstrate that the most likely migration scenario is disk-free migration, whereby the planet initiates its Type II migration within the CO ice line and ends it beyond the water ice line.