bluuebunny/crossref_metadata_2025_split huggingface dataset:
PD-1 regulates ILC3-driven intestinal immunity and homeostasis
Authors: Seillet Cyril , Jacquelot Nicolas , Xiong Le , Cao Wang , Huang Qiutong , Sayad Azin , Yu Huiyang , Ohashi Pamela , Nutt Stephen , Belz Gabrielle 
Published: September 2023

Abstract
Interleukin-(IL) 22 production by intestinal group 3 innate lymphoid cells (ILC3) is critical to maintain gut homeostasis. However, IL-22 needs to be tightly controlled; reduced IL-22 expression is associated with intestinal epithelial barrier defect while its overexpression promotes tumor development. Here, using a single cell RNAseq approach, we identified a core set of genes associated with increased IL-22 production by ILC3. Among these genes, Programmed cell death 1 (PD-1), extensively studied in the context of cancer and chronic infection, was constitutively expressed on a subset of ILC3. These cells, found in the crypt of the small intestine and colon, displayed superior capacity to produce IL-22. PD-1 expression on ILC3 was dependent on the microbiota and was induced during inflammation in response to IL-23 but, conversely, was reduced in the presence of Notch ligand. PD-1+ ILC3 exhibited distinct metabolic activity with increased glycolytic, lipid and polyamine synthesis associated with augmented proliferation compared with their PD-1- counterparts. Further, PD-1+ ILC3 showed increased expression of mitochondrial antioxidant proteins which enable the cells to maintain their levels of reactive oxygen species (ROS). Loss of PD-1 signaling in ILC3 led to reduced IL-22 production in a cell intrinsic manner. During inflammation, PD-1 expression was increased on NCR- ILC3 while deficiency in PD-1 expression resulted in increased susceptibility to experimental colitis and failure to maintain gut barrier integrity. Collectively, our findings uncover a new function of the PD-1/PD-L1 axis and highlight the role of PD-1 signaling in the maintenance of gut homeostasis mediated by ILC3.
Predicting MACE from [82Rb] PET: Can AI outperformmore traditional quantitative assessment of themyocardial perfusion ?
Authors: Bors Sacha , Abler Daniel , Matthieu Dietz , Andrearczyk Vincent , Fageot Julien , Nicod-Lalonde Marie , Schaefer Niklaus , DeKemp Robert , Kamani Christel H. , Prior John O. , Depeursinge Adrien 
Published: September 2023

Abstract
Assessing the individual risk of Major Adverse Cardiac Events (MACE) is of major importance as cardiovascular diseases remain the leading cause of death worldwide. Quantitative Myocardial Perfusion Imaging (MPI) parameters such as stress Myocardial Blood Flow (sMBF) or Myocardial Flow Reserve (MFR) constitutes the gold standard for prognosis assessment. We propose a systematic investigation of the value of Artificial Intelligence (AI) to leverage [82Rb] Silicon PhotoMultiplier (SiPM) PET MPI for MACE prediction. We establish a general pipeline for AI model validation to assess and compare the performance of global (i.e. average of the entire MPI signal), regional (17 segments), radiomics and Convolutional Neural Network (CNN) models leveraging various MPI signals on a dataset of 234 patients. Results showed that all regional AI models significantly outperformed the global model (p < 0.001), where the best AUC of 73.9% (CI: 72.5-75.3) was obtained with a CNN model. A regional AI model based on MBF averages from 17 segments fed to a Logistic Regression (LR) constituted an excellent trade-off between model simplicity and performance, achieving an AUC of 73.4% (CI: 72.3-74.7). A radiomics model based on intensity features revealed that the global average was the least important feature when compared to other aggregations of the MPI signal over the myocardium. We conclude that AI models can allow better personalized prognosis assessment for MACE.
Optimization of Biogenic Supplementary Cementitious Materials in Concrete prepared from East-Indian Lemon Grass (Cymbopogon flexuosus) and Poultry Litter using Response Surface Methodology
Authors: Bora Neelam , Daimary Niran , Athparia Mondita , Loganathan M. K. , Kataki Rupam 
Published: September 2023

Abstract

Developing high-quality construction materials from agricultural waste as a substitute of conventional cement is receiving immense global interest in recent times, due to issues like greenhouse gas emissions and extensive energy consumption during cement production. This study aims to investigate the compressive, flexural and split tensile strengths of concrete through the utilization of bio-based products prepared from East-Indian lemon grass (Cymbopogon flexuosus) and poultry litter as supplementary cementitious materials (SCMs). The optimization process involves Central Composite Design (CCD) based Response Surface Methodology (RSM) for modelling and statistical analyses using experimental data from the study. Analysis of variance (ANOVA) revealed the model’s significance, with coefficient of determination (R2) of 0.9956. The individual and synergistic effects of the considered factors on compressive strength were analyzed using three-dimensional response surface plot. Based on RSM analysis, concrete prepared by substituting 17.57% of Ordinary Portland cement with SCM (which was cured for 25.82 days with a water-cement ratio of 0.54), yielded the optimum compressive, flexural and split tensile strengths of 33.94 ± 0.12, 8.78 ± 0.02 and 3.06 ± 0.02 N/mm² respectively. Furthermore, the SCM-mixed concrete exhibited enhanced durability properties of the concrete structure. The findings also demonstrate the robustness of RSM as a significant tool for optimization of concrete performance. Moreover, the characterization results of pyrolytic lemon grass bio-oil (LG-BO) confirms its bioenergy potential thereby suggesting its diverse utilization in various applications.
Production of 5-hydroxymethylfurfural from chitosan using choline chloride-based deep eutectic solvents as catalyst
Authors: Zheng Xiao-Ping , Tian Xin-Yu , Chai Yu , Du Ya-Peng , Zhang Yu-Cang , Zheng Yan-Zhen 
Published: September 2023

Abstract
This study explores an efficient catalytic system for the conversion of chitosan into 5-hydroxymethylfurfural (5-HMF) under hydrothermal conditions. The catalysts used are deep eutectic solvents (DESs) comprising choline chloride (ChCl) as the hydrogen bond acceptor (HBA) and various organic acids as the hydrogen bond donor (HBD). Among the DESs tested, the ChCl: oxalic acid (OA) combination exhibits the highest catalytic activity, resulting in a yield of 27.5% 5-HMF employed the optimized conditions. To elucidate the interaction between ChCl and OA, various analytical techniques were employed, including quantum chemical calculations, nuclear magnetic resonance (NMR), and Fourier transform infrared spectroscopy (FTIR). These investigations confirmed the formation of strong hydrogen-bonds between ChCl and OA. Furthermore, the solid residues obtained during the conversion process were characterized using FTIR, X-ray diffraction (XRD), and scanning electron microscopy (SEM). These analyses provide insights into the chemical structures and morphologies of the residues, revealing the gradual conversion of chitosan, along with the formation of humin byproducts.
Adaptive rewiring of purine metabolism promotes treatment resistance in H3K27M-mutant diffuse midline glioma
Authors: Peterson Erik R. , Sajjakulnukit Peter , Scott Andrew J. , Heaslip Caleb , Andren Anthony , Wilder-Romans Kari , Zhou Weihua , Palavalasa Sravya , Korimerla Navyateja , Lin Angelica , Obrien Alexandra , Kothari Ayesha , Zhao Zitong , Zhang Li , Morgan Meredith A. , Venneti Sriram , Koschmann Carl , Jabado Nada , Lyssiotis Costas A. , Castro Maria G. , Wahl Daniel R. 
Published: September 2023

Abstract
Background: Diffuse midline gliomas (DMG), including diffuse intrinsic pontine gliomas (DIPGs), are a fatal form of brain cancer. These tumors often carry a driver mutation on histone H3 converting lysine 27 to methionine (H3K27M). DMG-H3K27M are characterized by altered metabolism and resistance to standard of care radiation (RT), but how the H3K27M mediates the metabolic response to radiation and consequent treatment resistance is uncertain.
Methods: We performed metabolomics on irradiated and untreated H3K27M isogenic DMG cell lines and observed an H3K27M-specific enrichment for purine synthesis pathways. We profiled the expression of purine synthesis enzymes in publicly available patient data and in our models, quantified purine synthetic flux using stable isotope tracing, and characterized the in vitro and in vivo response to de novo and salvage purine synthesis inhibition in combination with RT.
Results: DMG-H3K27M cells activate purine metabolism in an H3K27M-specific fashion. In the absence of genotoxic treatment, H3K27M-expressing cells have higher relative activity of de novosynthesis and lower activity of purine salvage due to decreased expression of the purine salvage enzymes. Inhibition of de novo synthesis radiosensitized DMG-H3K27M cells in vitro and in vivo. Irradiated H3K27M cells adaptively upregulate purine salvage enzyme expression and pathway activity. Silencing the rate limiting enzyme in purine salvage, hypoxanthine guanine phosphoribosyl transferase (HGPRT) when combined with radiation markedly suppressed DMG-H3K27M tumor growth in vivo.
Conclusions: H3K27M expressing cells rely on de novo purine synthesis but adaptively upregulate purine salvage in response to RT. Inhibiting purine salvage may help overcome treatment resistance in DMG-H3K27M tumors.
Fibrosarcomatous Dermatofibrosarcoma Protuberans of the Head
Authors: Gal Renato Jr , Opinaldo Paul Vincent 
Published: September 2023

Abstract
Objective. This paper highlights the case of a 37-year-old male who presented with a recurrent, exponentially enlarging head mass, emphasizing on the diagnostic and
therapeutic challenges associated with a very rare type of tumor, fibrosarcomatous dermatofibrosarcoma protuberans (DFSP) of the head.
Case Report. Our patient presented with rapidly growing head mass, initially diagnosed as spindle cell tumor and was managed with surgical excision and skin flap grafting. Follow-up revealed relapse and interval development of hemiparesis and hemisensory loss. MRI revealed tumor recurrence, with compression of the right parietal lobe and superior sagittal sinus. Histopathology revealed stroma with fascicles of spindle cells with homogenous to fibrillar cytoplasm, with oval vesicular nuclei. Immunohistochemical staining showed positivity for CD34and SMA. Oral chemotherapy with imatinib 800 mg/day was started. Follow-up imaging showed marked reduction in the size of the tumor, and resolution of the compression of the underlying brain parenchyma with cystic degeneration and decreased contrast enhancement. Future plans include possible surgical tumor debulking and/or radiation therapy.
Conclusion. Although extremely rare, awareness of this tumor, with multi-disciplinary approach to management of the case, are vital to maximize treatment outcomes.
Exploring the psychological experience of novice nurses in stomatological hospitals in China: a phenomenological study
Authors: Liu Jian , Lu Tiantian , Li Yan , Dai Hongyuan , Li Li 
Published: September 2023

Abstract
Background
At the onset of their professional journey, novice nurses often undergo a multifaceted psychological experience as they transition from theoretical knowledge to clinical practice, potentially impacting their development of professional identity. However, limited research has been conducted on the psychological aspects pertaining to newly graduated nurses in our country.
Methods
Objective sampling method was used to recruit 21 novice nurses, conduct semi-structured virtual interviews with them, and analyze the data using Colaizzi's seven-step analysis method.
Results
Seven themes emerged from the analysis: i) Interest and relaxation; ii) Nurse-patient conflict is reduced; iii) Decreased enthusiasm for work; iv) Insecurity and self-doubt; v) Decreased career accomplishment; vi) Make up for weaknesses; vii) Focus on knowledge transfer.
Conclusion
The novice nurses experience a range of complex negative and positive emotions during the initial stages of their employment. Further research and appropriate psychological counseling can enhance their professional engagement in oral outpatient nursing.
Factors contributing to decision-making dilemmas faced by parents of children with severe asthma in PICU during the development of discharge care plans: a phenomenological study
Authors: Fan Guimei , Yi Mo , Qiu Xiangmin , Zhao Jinfang 
Published: September 2023

Abstract
Purpose: This study aims to explore the complex decision-making dilemma and challenges confronted by parents of children suffering from severe asthma within the Pediatric Intensive Care Unit (PICU) when participating in the development of their children's discharge care plans.
Methods: Employing a phenomenological approach, 18 parents, purposively selected, were subjected to in-depth semi-structured interviews between October 2022 and February 2023. The transcripts of these interviews were transcribed into textual data, which was then subjected to Colaizzi's seven-step analysis for meticulous coding and comprehensive thematic elucidation.
Results: The comprehensive analysis of the factors contributing to the intricate decision-making dilemmas faced by parents of children with severe asthma during the process of crafting discharge care plans in the PICU revealed five themes and eight sub-themes: 1) Complexity of asthma-related information; 2) Insufficient provision of comprehensive decision-making support; 3) Encountering negative emotions and wavering parental confidence; 4) Navigating realistic constraints impacting both parents and healthcare providers; 5) Balancing the advantages and disadvantages of various plans.
Conclusion: Parents of children with severe asthma in the PICU encounter intricate and multifaceted decision-making dilemmas while engaging in the formulation of discharge care plans. These complexities significantly dampen their decision-making enthusiasm and introduce potential risks to the children's prognosis and recovery. In the future, it is imperative to leverage the guidance provided by healthcare professionals (HCPs) in the decision-making process, develop tailored decision support tools specifically designed for the formulation of discharge care plans for children with severe asthma in the PICU.
A Novel PDPN Antagonist Peptide CY12-RP2 inhibits melanoma growth via Wnt/β-catenin and modulates the immune cells
Authors: Feng Chunyan , Yu Albert , Wang Kun , Chen Jiawei , Wu Yaojiong , Deng Ting , Chen Huangqing , Hou Yibo , Dai Xiaoyong , Huang Laiqiang 
Published: September 2023

Abstract
Background
Podoplanin(PDPN) is a highly conserved, mucin-type protein specific to the lymphatic system. Overexpression of PDPN is associated with the progression of various solid tumors, and plays an important rolesin the tumor microenviroment by regulating the immune system. However, the role of PDPN-mediated signal activation in the progression of melanoma is still unknown.
Methods
PDPN expression was first analyzed in 112 human melanoma tissue microarrays and melanoma cell lines. Functional experiments including proliferation, clone formation, migration, and metastasis were utilized to identify the suppressive effects of PDPN. we used a Ph.D.TM-12 Phage Display Peptide Library to screen for a PDPN antagonist peptide, named CY12-RP2, and performed immunofluorescence, SPR assay, and flow cytometry to identify the binding specificity of CY12-RP2 with PDPN in melanoma cells. Functional and mechanistic assays in vivo and in vitro were used for discriminating the antitumor and immunosuppressive effects of CY12-RP2.
Results
PDPN was overexpressed in melanoma, and inhibited melanoma cell proliferation, migration, and metastasis by blocking the EMT and Wnt/β-catenin pathway. PDPN antagonistic peptide, CY12-RP2, could specifically bind with PDPN, suppressing melanoma various functions inducing apoptosis in both melanoma cells and 3D spheroids. CY12-RP2 also enhanced the anti-tumor capacity of PBMC, and inhibited melanoma cells growth both in xenografts and allogeneic mice model. Moreover, CY12-RP2 could inhibit melanoma lung metastasis, and abrogated the immunosuppressive effects of PDPN by increasing the proportion of CD3+CD4+ T cells, CD3+CD8+ T cells, CD49b+Granzyme B+ NK cells, and CD11b+CD86+M1-like macrophages and the levels of IL-1β, TNF-α, and IFN-γ.
Conclusions
This study has demonstrated the important role of PDPN in the progression of melanoma and formation of immunosuppressive environment, and provided a potential approach of treating melanoma using the novel CY12-RP2 peptide.
Hybrid Algorithm of Grey Wolf Optimizer and Harris Hawks Optimization for Improving Convergence Performance
Authors: Tu Binbin , Wang Fei , Huo Yan , Wang Xiaotian 
Published: September 2023

Abstract
The grey wolf optimizer is an efficient metaheuristic algorithm that has received considerable attention in recent years. However, it also suffers from the problems of insufficient population diversity, susceptibility to local optima and an unsatisfactory rate of convergence. Therefore, a hybrid algorithm is proposed utilising a population initialization strategy through Latin hypercube sampling, a nonlinear adaptive convergence factor, and exploitation strategies of the harris hawks optimization, referred to as HGWO. It makes the grey wolf flight capable in position update and balances out the algorithm's exploration and exploitation process. In this paper, HGWO and other popular metaheuristic algorithms as well as other improved schemes of the grey wolf optimizer are evaluated by 23 famous benchmark test functions and 4 real-word engineering problems. The experiment results demonstrate that the HGWO showcases competitiveness by effectively exploring globally, exploiting locally, and achieving both rapidity and accuracy in convergence. Furthermore, the HGWO demonstrates evident advantages in resolving engineering problems, thereby validating its effectiveness and practicality.
Fusion Features of Monocomponent Parts in Janus-Like Nanoscale Clusters Under Impacts of Low− and Ultra−Low−Energy Ar13 and Ar Projectiles
Authors: Shyrokorad D. V. , Kornich G. V. , Goncharov O. A. , Kolinko I. S. 
Published: September 2023

Abstract
Molecular dynamics simulation of metastable Janus-like Ni-Al, Cu-Bi and Cu-Au clusters with 195 atoms of each component is performed for 200 ps after impacts of Ar13 and Ar ions with different cases of initial energies from 25 to 300 eV. The boiling state of the components is achieved either at a high negative heat of mixing (Al, Ni-Al) or at a low boiling point of at least one of the components (Bi, Cu-Bi), provided that the Ar13 projectiles have the initial energy from 200 eV. In other cases, the Ni-Al cluster is also in a molten state, while the Cu-Bi cluster, as well as the Cu-Au cluster in all impact cases, may be in a molten state or have an atomic structure of varying degrees of regularity of one/both component(s). The molten clusters form spatial core-shell distributions of the components, while in other cases different degrees and forms of their overlapping and eccentricity are possible during the time of simulation.
Asymmetric 2032 coin cell Supercapbattery Device Applications of rGO/Co3O4/Polypyrrole and rGO/Copper oxide Nanocomposites
Authors: Ates Murat , Yoruk Ozan , Bayrak Yuksel , Gul Efkan , Nacak Fatih 
Published: September 2023

Abstract
Supercapacitors and batteries are used as energy storage devices. A new designed electrode materials including hybrid nanocomposites, such as cobalt (II, III) oxide (Co3O4), copper (II) oxide (CuO), polypyrrole (PPy) and reduced graphene oxide (rGO). In this study, rGO, Co3O4 and PPy were constructed in one side of electrode. Then rGO and CuO have been obtained for another side of electrode for 2032 coin cell for asymmetric supercapbattery device. The characterization of rGO/Co3O4/PPy nanocomposite was presented for our previous studies. In this work, the characterization of rGO/CuO nanocomposite was given as FTIR-ATR, BET, TGA-DTA and SEM-EDX analysis. The asymmetric rGO/Co3O4/PPy//rGO/CuO supercapbattery resulted a good energy and power density of E = 3.01 Wh×kg− 1 for [rGO]o/[Co3O4]o/[PPy]o= 1:5:10 and P = 146.49 W×kg− 1 for [rGO]o/[Co3O4]o/[PPy]o= 1:5:1. The highest capacitance retention was obtained as 89.12% for [rGO]o/[Co3O4]o/[PPy]o= 1:5:10 after 1000 times charge-discharge cycles by CV method using 2032 coin cell. The porous structure of GO and addition of conductive carbon black with other components supplied a positive electrochemical performance of supercapbattery. Asymmetric supercapbattery design of rGO/Co3O4/PPy and rGO/CuO may give a good opportunity for energy storage devices.
Bibliometric Indices as Indicators of Research Output: Analyzing Anesthesiologists as a Paradigm for Surgical Disciplines
Authors: Esmaeeli Shooka , Binda Dhanesh D. , Rendon Luis F. , Logan Connor M. , Leung Jacob L. , Nguyen Hannah M. , Michael Cara E. , Baker Maxwell , Xu Lan , Nozari Ala 
Published: September 2023

Abstract

Background Anesthesiology is one of the increasingly competitive surgical specialties with a growing emphasis on scholarly activity. A metric of productivity and citation influence, the Hirsch index (h-index) can help identify mentors capable of guiding postgraduate trainees towards successful academic achievements. This study sought to determine associations between h-indices or m-quotients and manuscript publication in anesthesiology. Methods Using the American Society of Anesthesiologists (ASA) website, accepted abstracts from the ASA Annual Meetings from 2019 to 2021 were screened (n = 2146). First author (FAHi) and senior author (SAHi) h-indices as well as first author (FAMq) and senior author (SAMq) m-quotients were collected for each abstract using the Scopus database. Whether an accepted abstract was subsequently published as a manuscript in a peer-reviewed journal was also noted along with the number of days between ASA presentation and publication date. Linear and logistic regression models were used for statistical analyses. Results In total, 348 (34.4%) of the 1012 eligible abstracts were published as manuscripts. Mean FAHi, SAHi, FAMq, and SAMq were significantly higher for accepted ASA abstracts that were later published in peer reviewed journals compared to accepted abstracts that were not published (p < 0.001). FAHi, SAHi, FAMq, and SAMq had significant positive associations with odds of publication (p = 0.002;p < 0.001;p = 0.006;p < 0.001, respectively). There was no statistical significance between FAHi, SAHi, FAMq, or SAMq and the number of days between ASA presentation and publication. Conclusion Our study uniquely demonstrates the positive, direct association between h-indices and m-quotients with the probability of publication in anesthesiology. We propose that bibliometric indices are adapted to provide a refined perspective of a physician-scientist's capabilities. Postgraduate trainees can utilize these indices to discern research mentors primed for fostering academic excellence.