bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model containing sarcopenia and visceral adiposity can better predict the survival of hepatocellular carcinoma: A multicenter study
Authors: Liu Yao , Fu Sirui , Yu Xiangrong , Zhang Jinxiong , Zhu Siyu , Yang Yang , Huang Jianwen , Luo Hanlin , Tang Kai , Zheng Youbing , Zhao Yujie , Chen Xiaoqiong , Zhan Meixiao , He Xiaofeng , Li Qiyang , Duan Chongyang , Chen Yuan , Lu Ligong 
Published: January 2023

Abstract
Aim: This study aimed to explore whether the addition of sarcopenia and visceral adiposity could improve the accuracy of model predicting progression-free survival (PFS) in hepatocellular carcinoma (HCC).
Methods: In total, 394 patients with HCC from five hospitals were divided into the training and external validation datasets. Patients were initially treated by liver resection or transarterial chemoembolization. We evaluated adipose and skeletal muscle using preoperative computed tomography imaging and then constructed three predictive models, including metabolic (ModelMA), clinical–imaging (ModelCI), and combined (ModelMA-CI) models. Their discrimination, calibration, and decision curves were compared, to identify the best model. Nomogram and subgroup analysis was performed for the best model.
Results: ModelMA-CI containing sarcopenia and visceral adiposity had good discrimination and calibrations(area under the curve for three-year PFS was 0.792in the training data set and 0.817 in the validation data set;similar results were achieved in one- and two-year PFS). ModelMA-CI had better accuracy than ModelCI and ModelMA. The performance of ModelMA-CI was not affected by treatments or disease stages. The high-risk subgroup(scored≥120) had a significantly shorter PFS (p<0.001) and poorer OS (p<0.001).
Conclusions: The addition of sarcopenia and visceral adiposity improved accuracy in predicting PFS in HCC, which may provide additional insights in prognosis for HCC in subsequent studies.
Multifunctional nanodiamonds to enable neuritogenesis and super-resolution imaging
Authors: Kim Jaeheung , Kang Moon Sung , Jun Seung Won , Jo Hyo Jung , Han Dong-Wook , Kim Chang-Seok 
Published: January 2023

Abstract
Background

Regeneration of defective neurons in central nervous system is a highlighted issue for neurodegenerative disease treatment. Various tissue engineering approaches have focused on neuritogenesis to achieve the regeneration of damaged neuronal cells because damaged neurons often fail to achieve spontaneous restoration of neonatal neurites. Meanwhile, owing to the demand for a better diagnosis, studies of super-resolution imaging techniques in fluorescence microscopy have triggered the technological development to surpass the classical resolution dictated by the optical diffraction limit for precise observations of neuronal behaviors. Herein, the multifunctional nanodiamonds (NDs) as neuritogenesis promoters and super-resolution imaging probes were studied.

Methods

To investigate the neuritogenesis-inducing capability of NDs, ND-containing growing medium and differentiation medium were added to the HT-22 hippocampal neuronal cells and incubated for 10 d. In vitro and ex vivo images were visualized through custom-built two-photon microscopy using NDs as imaging probes and the direct stochastic optical reconstruction microscopy (dSTORM) process was performed for the super-resolution reconstruction owing to the photoblinking properties of NDs. Moreover, ex vivo imaging of the mouse brain was performed 24 h after the intravenous injection of NDs.

Results

NDs were endocytosed by the cells and promoted spontaneous neuritogenesis without any differentiation factors, where NDs exhibited no significant toxicity with their outstanding biocompatibility. The images of ND-endocytosed cells were reconstructed into super-resolution images through dSTORM, thereby addressing the problem of image distortion due to nano-sized particles, including size expansion and the challenge in distinguishing the nearby located particles. Furthermore, the ex vivo images of NDs in mouse brain confirmed that NDs could penetrate the blood–brain barrier (BBB) and retain their photoblinking property for dSTORM application.

Conclusions

It was demonstrated that the NDs are capable of dSTORM super-resolution imaging, neuritogenic facilitation, and BBB penetration, suggesting their remarkable potential in biological applications.
Deconvoluting Kinetics and Transport Effects of Ionic Liquid Layers on FeN4-based Oxygen Reduction Catalysts
Authors: Favero Silvia , Stephens Ifan , Titirici Magda 
Published: January 2023

Abstract
The use of ionic liquid layers has been reported to improve both the activity and durability of several oxygen reduction catalysts. However, the development of this technology has been hindered by the lack of understanding of the mechanism behind this performance enhancement. In this work, we use a library of ionic liquids to modify a model FeN4 catalyst (iron phthalocyanine), to decouple the effects of ionic liquid layers on oxygen reduction kinetics and oxygen transport. Our results show that oxygen reduction activity at low overpotentials it determined by the ionic liquids’ influence on the *OH binding energy on the active sites, while oxygen solubility controls transport at high overpotentials. Finally, using porosimetry, we have demonstrated that the distribution of the ionic liquids on the catalyst is inhomogeneous, and depends on the nature of the ionic liquid used.
Fabrication, Microstructural, and Mechanical behavior of SiC composite with insitu formation of BN and Si3N4
Authors: Singh Aman , Singh Vinay Kumar , Chaturvedi Raj Kumar , Kumari Jyoti , Debnath N. K. 
Published: January 2023

Abstract
Dealing with high-temperature properties and brittleness and is always one of the hot topics in the field of ceramic materials. Extensive research has been carried out for it and Si3N4-SiC composites are one of the most promising composites. In this study, the impact of Si3N4 and BN reinforcement on the microstructure and physio-mechanical properties of SiC-based composites were explored. Two sets of composites, including Si3N4-SiC and BN-Si3N4-SiC aided with Al2O3, were fabricated using nitridation of Si and B2O3 at 1450°C. The mechanical properties, microstructure, phase transformation, densification, and porosity were depicted and discussed. X-ray diffraction patterns revealed the insitu formation of Si3N4 (both α and β phases) and BN in the final composite. The specimen with 10% Si and 10% B2O3 possessed the superior flexural strength (284.4 MPa) with excellent hardness (23.4 GPa). The incorporation of BN is found to enhance the mechanical properties especially hardness while overcoming the shortcomings of reaction-bonded Si3N4-SiC. The corresponding densification and strengthening mechanism were explained in this paper.
Restoration of dysregulated intestinal barrier and inflammatory regulation through synergistically ameliorating hypoxia and scavenging reactive oxygen species using ceria nanozymes in ulcerative colitis
Authors: Zhang Ying , Lei Hengyu , Wang Pengchong , Zhou Qinyuan , Yu Jie , Leng Xue , ma Ruirui , Wang Danyang , Dong Kai , Xing Jianfeng , Dong Yalin 
Published: January 2023

Abstract
Background
Reactive oxygen species (ROS) overproduction and excessive hypoxia play pivotal roles in the initiation and progression of ulcerative colitis (UC). Synergistic ROS scavenging and generating O2 could be a promising strategy for UC treatment.
Methods
Ceria nanozymes (CNPs) are fabricated using a modified reverse micelle method. We investigate hypoxia attenuating and ROS scavenging of CNPs in intestinal epithelial cells and RAW 264.7 macrophages. We also study the effect of CNPs on pro-inflammatory macrophages activation. Colitis mice induced by administration of 2,4,6-trinitrobenzenesulfonic acid are then given intravenous injection of CNPs to evaluate anti-inflammatory activities, mucosal healing properties and biosafety in UC.
Results
CNPs with multi-enzymatic activity can synergistically scavenge ROS and generate O2 to treat UC by restoring dysregulated intestinal barriers and inhibiting the pro-inflammatory macrophages activation. CNPs are found to reduce hypoxia-induced factor-1α expression in intestinal epithelial cells by generating O2 based on catalase-mimicking activity, thus further promoting disrupted intestinal mucosal barrier restoration. Meanwhile, CNPs can effectively relieve colonic macrophage hypoxia and scavenge ROS in impaired colon tissues to suppress the pro-inflammatory macrophages activation, thereby preventing UC occurrence and development.
Conclusion
This study has provided a paradigm to utilize metallic nanozymes, and suggests that further materials engineering investigations could yield a facile method based on the pathological characteristics of UC for clinically managing UC.
Using machine learning to detect coronaviruses potentially infectious to humans
Authors: Gonzalez-Isunza Georgina , Jawaid Muhammad , Liu Pengyu , Cox Daniel , Vazquez Mariel , Arsuaga Javier 
Published: January 2023

Abstract
Establishing the host range for novel viruses remains a challenge. Here, we address the challenge of identifying non-human animal coronaviruses that may infect humans by creating an artificial neural network model that learns from the binding of the spike protein of alpha and beta coronaviruses to their host receptor. The proposed method produces a human-Binding Potential (h-BiP) score that distinguishes, with high accuracy, the binding potential among human coronaviruses. Two viruses, previously unknown to bind human receptors, were identified: Bat coronavirus BtCoV/133/2005 (a MERS related virus) and Rhinolophus affinis coronavirus isolate LYRa3 a SARS related virus. We further analyze the binding properties of these viruses using molecular dynamics. To test whether this model can be used for surveillance of novel coronaviruses, we re-trained the model on a set that excludes SARS-COV-2 viral sequences. The results predict the binding of SARS-CoV-2 with a human receptor, indicating that machine learning methods are an excellent tool for the prediction of host expansion events.
Relationship of chemical and biochemical properties of soil to recurrence and severity of forest fire in South Western European Atlantic environments
Authors: Cruz Oscar , García-Duro Juan , Riveiro Sheila F. , Reyes Otilia 
Published: January 2023

Abstract

Background and aims Changes in fire regimes (extension, severity and recurrence), aggravated by climate change and abandonment of agricultural land, produce a large buildup of fuel in the environment and cause high severity and recurrence of forest fires. Soil can be a good indicator of the effects of fire on the whole ecosystem. The main objective of this study was to identify the effects of the severity and recurrence of fires on chemical and biochemical soil properties in short and medium time and interpret the interaction of plants on these properties. Methods To know the effects of forest fires on soil properties 4 recurrence-severity scenarios were studied at short and medium time after a big forest fire. The analysed properties were pH, %CO, %N, available P, β-glucosidase, urease, phosphatase and microbial biomass C. Results After fire some properties showed a continuous increase throughout the study time (pH, percentage CO, microbial biomass C, β-glucosidase and urease) while other properties (percentage N, available P and phosphatase) experienced a peak at 30 months and then regressed to values at 18 months. Conclusion Forest fire severity strongly modified the chemical and biochemical properties of the soil, favoring the increase of most of them, in some continuously over time and in others punctually. Fire recurrence only had a prominent role in the postfire dynamics of soil pH. The annual changes in soil properties were mainly related to regrowth woody species.
Physiological stress level and screening for malnutrition as preoperative predictors of postoperative complications in pancreatic surgery: A retrospective study
Authors: Kryvoruchko Igor A. , Staikov Plamen , Boyko Valeriy V. , Sartelli Massimo , Ivanova Yulia V. , Honcharov Andrij , Gramatiuk Svetlana , Sargsyan Karine 
Published: January 2023

Abstract
Background
Assessment of ‘physiological stress levels’ and ‘nutritional status’ before surgery is important for predicting complications and indirect interventions on the pancreas. The aim of this study was to determine neutrophil-lymphocyte ratio (NLR) and nutritional risk index (NRI) indicators before surgery to predict 90-day complications and mortality in a cohort of patients with complicated chronic pancreatitis and cancer of the head of the pancreas.
Methods
We evaluated preoperative levels of NLR and NRI among 225 subjects treated at different centres located in three countries. Short-term outcomes included length of hospital stay, postoperative complications, and mortality at 90 days and were appreciated based on NLR and NRI. The level of physiological stress was divided according by the formulas: neutrophil-lymphocyte ratio (NLR) = (neutrophil count, %)/(lymphocyte count, %). The nutritional state of the patients was divided according to the INR: NRI = (1.519 x serum albumin, g/L) + (41.7 x present weight, kg / usual weight, kg)]
Results
All patients were operated. An analysis of the operations performed in three institutions demonstrated mortality in chronic pancreatitis and pancreatic pseudocysts in 1.4 %, in chronic pancreatitis and the presence of an inflammatory mass mainly in the pancreatic head in 1.2 %, and in cancer of the pancreatic head in 5.9 %. The mean preoperative NLR was normal in 33.8% of the patients, the mild physiologic stress level was 54.7%, and the moderate was 11.5% before surgery. 10.2% of patients had a normal nutritional status, 20% had mild, 19.6% had moderate, and 50.2% had severe malnutrition. In a univariate analysis, at the cutoff of NLR³9.5 (AUC=0.803) and the cutoff of NRI≤98.5 (AUC=0.801), increasing the risk of complications was observed (hazard ratio, 2.01; 95% CI, 1.247-3.250, p=0.006), but at the cutoff of NRI≤83.55 (AUC=0.81), we observed a survival difference in operated patients (hazard ratio, 2.15; 95% CI, 1.334-3.477, p=0.0025).
Conclusions
Our study demonstrated that NLR and NRI were predictors of postoperative complications, but only NRI was a predictor of 90-day mortality in patients after surgery.
A Supervised Neural Network Machine Learning Routing Algorithm to Improve the Lifetime of Heterogeneous Wireless Sensor Networks
Authors: Gamal Ahmed , ElSaadany Amr , GUIRGUIS SHAWKAT K. 
Published: January 2023

Abstract
Internet of Things has many applications requiring the use of wireless communications networks. It utilizes data collection from sensor nodes connected to Wireless Sensor Networks. As such the wireless sensor networks is considered an important key for data transmission between sensor node and the gateways which are connected to the internet. Of the main concerns is the lifetime of the network which is affected by the battery power of the sensor nodes. It is noteworthy that transmission energy that dominates overall energy consumption is proportional to the distance between the transmitter and receiver. Thus, there is a need to send data from source node to a destination node in the most efficient way when it comes to battery level. Although there are many algorithms that tried to perform energy efficient routing, we will propose an intelligent algorithm to further improve this routing problem. In this paper we proposed an AI algorithm to enhance the lifetime of wireless sensor networks. We show that our algorithm improves the lifetime of the network by up to 75%, depending on the traffic rate, over existing algorithms.
Severity Tomographic Score as a Predictor of Mortality in Patients With Covid-19 Pneumonia From a Third-level Hospital in Peru
Authors: Ravelo-Hernández Jorge , Cáceres-Bernaola Ursula , Becerra-Núñez Claudia , de Tai Sabina Mendívil-Tuchía , Vásquez-Rivas María Eugenia , Quispe-Ayuque Edwin , Aguirre-Quispe Wilfor 
Published: January 2023

Abstract
Objective: Determine whether the tomographic characteristics of patients with COVID-19 pneumonia at the hospital admission and the initial tomographic severity score (TSS) as well as some laboratory tests or clinical characteristics predict mortality.
Methods: Retrospective analytical study that included patients with a clinical diagnosis of SARSCoV2 virus infection, performed by reverse transcriptase polymerase chain reaction (RT-PCR), serologic reactive test (IgM/IgG) and/or thoracic computed tomography (CT). Patients were divided into two groups: recovered and deceased. Two radiologists (blind evaluators) described the tomographic findings. TSS, clinical and laboratory parameters in relation to mortality were analyzed. Mortality predictions were made by binary logistic regression.
Results: Hypertension was the most frequent associated disease, the most common clinical presentation included cough, discomfort, fever, and dyspnea. The ground glass opacity pattern was the most frequent, followed by consolidation and distortion of the architecture; however, they were not associated with higher mortality. The pattern of pleural effusion and bronchial dilation showed a significant difference from mortality (p <0.05). The binary logistic regression model showed that a moderate and high TSS (≥ 8), as well as a higher degree of lymphopenia, history of asthma and age were associated with an increased risk of death (p< 0.05).
Conclusions: TSS is useful in the initial and comprehensive diagnostic evaluation of COVID-19 pneumonia, in conjunction with markers such as lymphopenia that can predict a poor short-term outcome. A high TSS score is a predictor of mortality.
Use of Programmed Cell Death Protein 1 (PD-1) Inhibitor Therapy in HIV-infected Patients with Advanced Cancer:a single-center study from China
Authors: wu luling , Su Jie , Yang Junyang , Gu Ling , Zhang Renfang , Liu Li , Lu Hongzhou , Chen Jun 
Published: January 2023

Abstract
Background
PD-1 antibodies have been approved for treating several cancers. However, data regarding the safety and efficacy of these agents in HIV-infected patients with cancers is lacking, because these patients are frequently omitted from clinical trials.
Objectives
The primary aim of our research is to assess the safety, activity, and long-term outcomes of PD-1 inhibitors in the treatment of HIV-infected patients with advanced cancers.
Method
We retrospectively analyzed data from HIV-infected patients with advanced cancers who were treated with PD-1 inhibitors at Shanghai Public Health Clinical Center, Shanghai, China.
Results
Fifteen HIV-infected patients (all are men; yellow race; median age, 44)with cancers who were treated with chemotherapy and/or combined the other oncology treatments (along with combined antiretroviral therapy (cART)) prior to Sintilimab (12 out of 15) or Nivolumab (1 out of 11) or Camrelizumab (2 out of 11) injection were identified. Eight patients responded to treatment (disease control rate 53.3%), with 1 got partial response (PR) and 7 were stable. Most treatment-emergent adverse events (TEAEs) were grade 1 or 2including anemia, leukopenia, hyperglycemia, granulocytopenia, and thrombocytopenia. Eight patients (53.3%) experienced treatment-related AEs (TRAEs) with grades 3/4including myelosuppression, infection, and neurological disorders. CD4 count and HIV RNA remained stable throughout the treatment.
Conclusions
When used in HIV-infected patients with advanced malignancies, PD-1 inhibitors tend to have favorable efficacy, manageable side effects, and no deteriorated impacts on HIV-RNA and CD4+ T count.
Assessment of genetic diversity of Prunus salicina 'Shazikongxinli' by morphological traits and molecular markers
Authors: Wang Gui , Li Ruirui , Wu Maohong , Ren Feihong , Wang Lili , Qiao Guang 
Published: January 2023

Abstract
Prunus salicina 'Shazikongxinli' is one of the most economically valuable and reputable Prunus salicina varieties in China. Understanding the genetic diversity and population structure of 'Shazikongxinli' is crucial for excellent germplasm breeding and conservation of genetic resources. In the present study, the genetic variation status of 50 'Shazikongxinli' was assessed using morphological traits, IRAP and ISSR markers, while 18 other plum varieties were selected as outgroups. The results show that the average Shannon-Weaver diversity index (H') of 32 qualitative traits in 50 test 'Shazikongxinli' is 0.557, the average coefficient of variation of 11 quantitative traits is 15.57%, and a total of 232 and 105 polymorphic loci are obtained from 22 IRAP and 15 ISSR primers, respectively. All three marker systems show relatively rich polymorphism, especially the IRAP markers. This may be related to the nature of the retrotransposons in the IRAP markers, which may be more suitable for intraspecific variability detection than ISSR. In addition, all three markers cluster the 68-test germplasm into two groups, with all of 'Shazikongxinli' clustered into one group and most of the other plum varieties as outgroups clustered into another group. This suggests a relatively narrow genetic base within the current 'Shazikongxinli'. These results will be useful in understanding the genetic diversity of the germplasm resources of 'Shazikongxinli' and provide comprehensive information for the breeding of superior germplasm.
Preliminary study of LACTB transcript 1 inhibiting gastric cancer cell migration and invasion by regulating autophagy
Authors: NIE WEI , Yan Zhiqiang , HU Lihua , Wang Yang , Shi Qianyun , He Shui , Li Yanling , Shen Yong , Yang Fang 
Published: January 2023

Abstract
Purpose: To analyze the expression level of β-lactamase gene (LACTB) in gastric cancer cells and the main types of transcripts expressed, and then explore the effect and mechanism of LACTB transcripts on the biological function of gastric cancer cells.
Methods: The expression level of LACTB and the main biological processes involved were analyzed by bioinformatics analysis and RT-qPCR. The expression level of LACTB transcript 1 was overexpressed or knocked down in AGS and HGC-27 cells, and the effect and mechanism of LACTB on gastric cancer cell migration and invasion were verified by in vitro cell experiments and western blotting experiments.
Results: 1.The UALCAN analysis website showed that LACTB mRNA was highly expressed in gastric cancer tissue, and the expression level of LACTB transcript 1 in peripheral blood of gastric cancer patients was consistent with the bioinformatics analysis. LinkedOmics and DAVID enrichment analysis found that LACTB co-expressed genes were mainly involved in biological processes such as immune response, inflammatory response, and proteolysis through lysosomes and immune synapses. 2.Knocking down the expression level of LACTB transcript 1 can inhibit the migration and invasion ability of gastric cancer cells, and at the same time can activate autophagy and inhibit EMT. However, overexpression of LACTB transcript 1 resulted in the opposite.
Conclusions: LACTB transcript 1 is an inhibitor that regulates autophagy to inhibit the migration and invasion of gastric cancer cells, and is highly expressed in peripheral blood, which has the potential as a biomarker of gastric cancer.