bluuebunny/crossref_metadata_2025_split huggingface dataset:
The preference signature of the SARS-CoV-2 Nucleocapsid NTD
for its 5’-genomic RNA elements
Authors: Korn Sophie , Dhamotharan Karthikeyan , Schlundt Andreas 
Published: March 2022

Abstract
The nucleocapsid protein (N) of SARS-CoV-2 plays a pivotal role during the viral life cycle. It is involved in RNA transcription and accounts for packaging of the large genome into virus particles. N manages the enigmatic balance of bulk RNA-coating versus precise RNA-binding to designated cis-regulatory elements. Numerous studies report the involvement of its disordered segments in non-selective RNA-recognition, but how N organizes the inevitable recognition of specific motifs remains unanswered. We here use NMR spectroscopy to systematically analyze the interactions of N’s N-terminal RNA-binding domain (NTD) with individual cis RNA elements clustering in the SARS-CoV-2 regulatory 5’-genomic end. Supported by broad solution-based biophysical data, we unravel the NTD RNA-binding preferences in the natural genome context. We show that the domain uses a set of flexible sensory residues to read the intrinsic signature of preferred RNA elements for selective and stable complex formation within the large pool of available motifs.
Role of Continuous Glucose Monitoring in Diabetic Patients at High Cardiovascular Risk: an Expert-based Multidisciplinary Delphi Consensus
Authors: Mario Carlo , Genovese Stefano , Lanza Gaetano Antonio , Mannucci Edoardo , Marenzi Giancarlo , Sciatti Edoardo , Pitocco Dario 
Published: March 2022

Abstract
Background. Continuous glucose monitoring (CGM) shows in more detail the glycaemic pattern of diabetic subjects and provides several new parameters (“glucometrics”) to assess patients’ glycaemia and consensually guide treatment. A better control of glucose levels might result in improvement of clinical outcome and reduce disease complications. This study aimed to gather an expert consensus on the clinical and prognostic use of CGM in diabetic patients at high cardiovascular risk or with heart disease.Methods. A list of 22 statements concerning type of patients who can benefit from CGM, prognostic impact of CGM in diabetic patients with heart disease, CGM use during acute cardiovascular events and educational issues of CGM were developed. Using a two-round Delphi methodology, the survey was distributed online to 42 Italian experts (21 diabetologists and 21 cardiologists) who rated their level of agreement with each statement on a 5-point Likert scale. Consensus was predefined as more than 66% of the panel agreeing/disagreeing with any given statement.Results. Forty experts (95%) answered the survey. Every statement achieved a positive consensus. In particular, the panel expressed the feeling that CGM can be prognostically relevant for every diabetic patient (70%) and that is clinically useful also in the management of those with type 2 diabetes not treated with insulin (87.5%). The assessment of time in range (TIR), glycaemic variability (GV) and hypoglycaemic/hyperglycaemic episodes were considered relevant in the management of diabetic patients with heart disease (92.5% for TIR, 95% for GV, 97.5% for time spent in hypoglycaemia) and can improve the prognosis of those with ischaemic heart disease (100% for hypoglycaemia, 90% for hyperglycaemia) or with heart failure (87.5% for hypoglycaemia, 85% for TIR, 87.5% for GV). The experts retained that CGM can be used and can impact the short- and long-term prognosis during an acute cardiovascular event. Lastly, CGM has a recognized educational role for diabetic subjects.Conclusions. According to this Delphi consensus, the clinical and prognostic use of CGM in diabetic patients at high cardiovascular risk is promising and deserves dedicated studies to confirm the experts’ feelings.
Preparation of titanium alloy outer ring self-lubricating spherical plain bearing by two-step extrusion forming process
Authors: zhao song , Yang Xiao , Liu Changxin , Ezzaid Abderrahim , Fan Bingli , Sun Annan , Wang Heng , Qi Xiaowen 
Published: March 2022

Abstract
Self-lubricating spherical plain bearing is a key component widely used in aerospace field. The spherical plain bearing made of titanium alloy has lighter weight and better corrosion resistance. In order to manufacture the outer ring of self-lubricating spherical plain bearing with titanium alloy, a two-step extrusion forming process was proposed. Taking GE15DE1TK spherical plain bearing as an example, the finite element simulation model of the forming process was established, the forming test was carried out, and the outer ring of self-lubricating spherical plain bearing made by TC4 titanium alloy was successfully prepared. The results show that the forming defects such as over extrusion and insufficient extrusion can be improved by optimizing the die structure, the size of outer ring blank and the lubrication conditions. The forming parameters for GE15DE1TK spherical plain bearing are given. The prepared spherical plain bearing can be used directly without other processes to correct no load rotational breakaway torque.
The impact of severe plastic deformations obtained by hydrostatic extrusion on the machinability of ultrafine-grained Ti grade 2 intended for fasteners.
Authors: Skiba Jacek , Kulczyk Mariusz , Przybysz-Gloc Sylwia , Skorupska Monika , Niczyporuk Krzysztof 
Published: March 2022

Abstract
The study aimed to examine the effect of severe plastic deformation (SPD) using the hydrostatic extrusion (HE) method on the machinability of grade 2 titanium in the turning process.
An analysis of the deformation process was carried out involving a two-stage process of cold hydrostatic extrusion with cumulative true strain ɛ = 2.28. After the deformation, the Ti grade 2 microstructure was strongly defected and significantly refined, resulting in a clear increase in the mechanical properties, UTS strength by 190%, YS yield strength by 230%, and hardness by 50%. The average grain size was 100 nm.
Ti grade 2 in the initial state and after HE hydrostatic extrusion process was subjected to machining by turning analysis. Component cutting forces were analyzed at cutting depths a p = 0.3 mm and 0.5 mm, the variables were cutting speed V c and feed rate f . The cutting speeds for the materials in the initial state and after the HE process were 20, 30, and 50 m/min, and the feed rates were 0.08 and 0.13 m/s.
Application tests of screws made of Ti grade 2 after HE were also carried out. The tests included the analysis of the surface roughness and the verification of the dimensional tolerance of the pitch diameter d2 required by standards for commercial screws.
Photothermal Bleaching of Nickel Dithiolene for Bright
Multi-colored 3D Printed Parts
Authors: Olubummo Adekunle , Zhao Lihua , Hartman Aja , Howard Tom , Zhao Yan , Wycoff Kyle 
Published: March 2022

Abstract
HP’s Multi Jet Fusion (MJF) 3D printing technology utilizes a carbon-based radiation absorber called the “fusing agent” in combination with a near infrared (NIR) light source to facilitate the fusion of polymer powder in a layer-by-layer fashion to generate 3D parts. Most available carbon-based and NIR radiation absorbers have an intrinsic dark color, which as a result will only produce black/gray and dark colored parts. To create white and bright colored parts with MJF, a visibly transparent and colorless radiation absorber is required. In this paper, we designed an activating fusing agent (AFA) that contains a red, strong NIR absorbing dye that can become colorless after harvesting irradiation energy during the MJF 3D printing process. Such a method will not only enable MJF 3D printing of white objects with good performance, but also provide a bright colored part when working with other color agents.
The predictive value of Pressure Recording Analytical Method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGboost based machine learning model
Authors: Zhang Hui , Li Mingwei , Wang Shuangxing , Chen Danlei , Zhang Hongtao , Wu Yongjie , Qu Xinpeng , Meng Bing 
Published: March 2022

Abstract
Background：Prolonged mechanical ventilation in children undergoing cardiac surgery is related to the decrease of cardiac output during the postoperative intense care time, which often induced serious complications. Pressure Recording Analytical Method (PRAM) is a minimally invasive system for continuous hemodynamic monitoring, which can timely record the presence of lower cardiac function. This study is aimed to evaluate the predictive value of the several hemodynamic parameters for the duration of mechanical ventilation (DMV).Methods：This retrospective study included 60 children under 1-year-old who underwent cardiac surgery between 2017 and 2021. CI, CCE and dp/dt max derived from PRAM was documented in each patient 0, 4, 8 and 12 hours (T0, T1,T2, T3 and T4 respectively) after admission to the intensive care unit (ICU). A linear mixed model were used to deal with the repeated measurement on hemodynamic data. Correlation analysis and Receiver operating characteristic (ROC) curves were used to show the predictive value. XGBoost machine learning-based mode which produces a decision tree-heat map was used to find the key characteristics of the data in predicting the outcome. Results：There were 35(58%) children in DMV≤24 h group and 25(42%) were in DMV>24h. Prolonged DMV caused longer ICU stays and postoperative hospital stays. Linear mixed model revealed significant time and group effect in CI and dp/dt max. Prolonged DMV also have negative correlations with age, weight, CI at T2 and dp/dt max at T2. dp/dt max outweighing CI were the strongest predictors of prolonged DMV(AUC of ROC: 0.978 vs 0.811, respectively, p<0.01). The XGboost based learning machine model (Balance Accuracy=0.92, AUC of ROC=0.856) suggested that dp/dt max at T2 ≤1.049 or >1.049 in combination with CI at T0 ≤2 or > 2 can predict prolonged DMV.Conclusions：Hemodynamic monitoring in infants with PRAM after the cardiac surgery shows that the cardiac function can predict the prolonged duration of mechanical ventilation. CI measured by PRAM immediately after ICU admission and dp/dt max that 8h later are 2 key factors in predicting prolonged DMV with the application of XGboost based machine learning model.
Preliminary Study for the Application of Raman Spectroscopy for the Identification of Leishmania Infected Dogs
Authors: Acri Giuseppe , Falcone Annastella , Giannetto Claudia , Giudice Elisabetta , Piccione Giuseppe , Testagrossa Barbara , Cicero Luca , Cassata Giovanni , Pietro Simona Di 
Published: March 2022

Abstract
Raman spectroscopy is a rapid qualitative and quantitative technique that allows the simultaneous determination of several components in biological fluids. This methodology concerns an alternative technique to distinguish between non-healthy and healthy subjects. Leishmaniasis is a zoonosis of world interest, the most important agent is L. infantum. Dogs are the principal reservoirs affected by a broad spectrum of clinical features. During a clinical exam, blood samples were collected in tubes without anticoagulants, from twentytwo dogs. One aliquot was used for serological test for Leishmaniasis, one aliquot was subjected to the Raman spectroscopic analysis. Animals were divided into two equal groups, Leishmania group (LG) constituted by infected dogs, and control group (CG) constituted by healthy dogs. The acquired spectra were different in the region 1200–1370 cm− 1, in which it is possible to distinguish the amide III vibration (~ 1300 cm− 1). In LG, an evident shift to the shortwave region is observed in spectral frequencies of the band centered at ~ 1250 cm− 1. Our results distinguished between LD group and CG. Further studies are necessary to exclude the effect of metabolic modification due to disease on the recorded spectra changes and to consolidate the achievability of Raman spectroscopy as rapid and less expensive diagnosis of Leishmaniasis.
Characterization of genetic variation of Bambara groundnut [Vigna subterranea (L.) verdc.] under different environmental conditions for yields and yield component performances
Authors: ESAN Vincent Ishola , OKE Grace Oluwasikemi , OGUNBODE Timothy Oyebamiji 
Published: March 2022

Abstract
Bambara groundnut has significant roles to play in terms of food security even though researchers have paid very little attention to the crop in the past. The aim of this study was to investigate the high yielding accessions in three environments. A total of 34 morphological, phenological and agronomic traits were measured and analyzed statistically with R software. There were significant differences in all the traits except for plant height, initial plant stand, panicle length per stem, and petiole length. Across the three environments, TVSU-455 gave the highest values for total number of pods (42.67 ± 13.37), final plant stand (7.67 ± 1.58), fresh seed weight of (45.83 ± 14.82), number of seed per plants of (46.62 ± 14.89), hundred seed weight with a value of (124.56 ± 18.99), dry seed weight (27.14 ± 8.91), fresh pod weight, a value of (92.65 ± 30.96), harvest index of (0.57 ± 0.25), yield per plot (45.83 ± 14.82) and unshelled yield per plot (550.26 ± 117.89). TVSU-455 was the only accessions in cluster I of the dendogram based on its superiority over other accessions. The clustering analysis produced a dendogram categorizing the 15 accessions into 4 groups based on the morphological, phenological and agronomic traits. There were significant differences among the correlations of the 34 traits. The first two principle components explained 56.16% of the total variation with each dimension accounting for 39.85% and 16. 31% variation, respectively. TVSU-455 can be used in breeding programs to improve Bambara groundnut.
Constructing Novel ceRNA Networks on MiR-616-3p Reveals LncRNAs as Potential Colorectal Cancer Prognostic Biomarkers
Authors: Abdolvand Mohammad , Chermahini Zahra Mohammadi , Heidari Ehsan , Emami Mohammad hassan , Fahim Alireza , Rahimi Hojjatolah , Amjadi Elham , Maghool Fatemeh , Rohani Fattah , Abdolvand Shirin , Darehsari Maliheh Roozbahani , Chehelgerdi Mohammad , Hemati Simin , Salehi Mansoor 
Published: March 2022

Abstract
Background. Long noncoding RNAs (lncRNAs) perform as competing endogenous RNAs (ceRNAs) to sponge microRNAs (miRNAs) lead to the advancement of cancer. In this work, we attempted to identify possible long noncoding RNA biomarkers as well as a new regulatory axis in colorectal cancer. This investigation was carried out in consideration of the critical oncogenic function played by miR-616-3p in many malignancies, as well as its regulatory involvement in several signaling pathways.Material and Methods: Differentially expressed lncRNAs (DELs) were identified from Gene Expression Omnibus (GEO) database. Targeted mRNAs were recognized by the Targetscan database. ciBioPortal database and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis also were applied to identify mRNAs. CeRNA networks constructed via Cytoscape 3.7.1. QRT-PCR was utilized to verify these RNA molecules' expression levels in 30 CRC tissues compared to 30 adjacent tissue samples. Results: Three lncRNAs and three mRNAs were discovered to have the greatest interaction with miR-616-3p. QRT-PCR revealed overexpression of (Linc01282, lnc-MYADM-1:1, ZNF347, XIAP) and downregulation of (Lnc-atp12a-1:1, SIK1 and miR-616-3p). In CRC, bioinformatic research revealed many unique ceRNA networks centered on miR-616-3p that were previously unknown.Conclusion: This work reveals novel, previously unreported lncRNAs as prognostic biomarkers for CRC, as well as potential mRNAs as new therapeutic targets and predictive biomarkers for CRC. Furthermore, our analysis identified novel ceRNA networks that need be investigated further in CRC.
Antibacterial CM-11 Peptide Potency against the Gram-positive and Gram-negative Bacterial Membrane Models: A Molecular Dynamics Simulations Study
Authors: Mirnejad Reza , Fasihi-Ramandi Mahdi , Behmard Esmaeil , Najafi Ali , Moghaddam Mehrdad Moosazadeh 
Published: March 2022

Abstract
In the present study, a series of all-atom molecular dynamics simulations were applied to shed light on the molecular mechanism of the activity of CM11, a short cecropin–melittin hybrid peptide obtained through a sequence combination approach, against gram-positive (GP) and gram-negative (GN) bacterial membrane models. In addition, the peptide adsorption mechanism on the surface of the membrane models, the thermodynamic and structural contribution of each residue in the antibacterial activity of the peptide against both GP and GN bacterial membranes were investigated. Our findings showed that the peptide was strongly bound to the GP membrane type in comparison with the GN membrane and was stabilized quickly. These strong bonds are caused by the interactions between basic residues and POPG molecules, which have higher concentrations in GP than GN membranes. Calculation of binding free energies revealed that both electrostatic and van der Waals energy components were desired for the peptide binding and insertion in the membrane. Electrostatic interactions were the main driving force in the adsorption and surface localization of the peptide. Determining the contribution of each residue to the binding free energy indicated that W1, K2, K5, K6 and K9 residues played an important role in the activity of the peptide. These results can be used as a roadmap to provide in-depth insights into the design of appropriate peptides in the fight against multidrug-resistant bacteria.
Effects of Bioelectricity Generation Processes on Methane Emission and Bacterial Community in Wetland and Carbon Fate Analysis
Authors: Liu Shentan , Xue Hongpu , Wang Yue , Wang Zuo , Feng Xiaojuan 
Published: March 2022

Abstract
Wetlands are an important carbon sink for greenhouse gases (GHGs), and embedding microbial fuel cell (MFC) into constructed wetland (CW) has become a new technology to control methane emission. Rhizosphere anode CW-MFC was constructed by selecting rhizome-type wetland plants with strong hypoxia tolerance, which could provide photosynthetic organics as alternative fuel. Compared with non-planted system, methane emission flux and power output from the planted CW-MFC increased by approximately 0.48 ± 0.021mg/(m2·h) and 1.07 W/m3, respectively. The methane emission flux of the CW-MFC operated under open-circuit condition was approximately 0.46 ± 0.024 mg/(m2·h) higher than that under closed-circuit condition. The results indicated that plants contributed to the methane emission from the CW-MFC, especially under open-circuit mode conditions. The methane emission from the CW-MFC was proportional to external resistance, and it increased by 0.669 + 0.012 mg/(m2·h) when the external resistance was adjusted from 100 Ω to 1000 Ω. High throughput sequencing further showed that there was a competitive relationship between electrogenic bacteria and methanogens in the system. The flora abundance of electricity producing bacteria was high, while methanogens mainly consisted of Methanothrix, Methanobacterium and Methanolinea. The form and content of element C were analysed from solid phase, liquid phase and gas phase. It was found that a large amount of carbon was consumed in each phase by microbial migration and conversion, the relative proportions of liquid phase, solid phase and gas phase accounted for 40.28%, 36.2% and 20.1% respectively. In conclusion, caron transformation in the CW-MFC could be properly regulated via competition of microorganisms driven by environmental factors, which provides a new direction and idea for the control of methane emission from wetland.
Adaptive Information Bottleneck Guided Joint Source-Channel Coding
Authors: Sun Lunan , Guo Caili , Yang Yang 
Published: March 2022

Abstract
Joint source channel coding (JSCC) has attracted increasing attentions due to its robustness and high efficiency. However, the existing research on JSCC mainly focuses on minimizing the distortion between the transmitted and received information under the constraint of the required data rate. Therefore, the transmitted bits may be far more than the minimal threshold according to the rate-distortion (RD) theory even though the transmitted information is well recovered. In this paper, we propose an adaptive Information Bottleneck (IB) guided JSCC (AIB-JSCC), which aims at achieving the theoretically maximal compression ratio for a given reconstruction quality. In particular, we first derive a mathematically tractable form of loss function for AIB-JSCC. To trade off compression and reconstruction quality, we further propose an adaptive algorithm that adjusts the hyperparameter of the proposed loss function dynamically according to the distortion during the training. Experimental results show that AIB-JSCC can significantly reduce the required amount of the transmitted data and improve the reconstruction quality and downstream artificial-intelligent task performance.
Ya'an Tibetan Tea Exerts Anti-tumor and Chemotherapy Sensitizing Effect against Human HepG2 Hepatocellular Carcinoma Cells
Authors: He Lang , Yang Yu , Deng Siwei , Yu Guoqi , Gong Yuping , Yuan Pei , Cao Shujuan , Zhu Haiyang , Hao Junli , Wang Dan 
Published: March 2022

Abstract
Chinese dark tea is post-fermented tea possessing various biological. Ya'an Tibetan tea, which is unique to China, is one of those dark tea. The purpose of this study was to observe the antiproliferative activity and chemotherapy sensitizing effect of Ya'an Tibetan tea water extract against human hepatocellular carcinoma cell line HepG2, so as to preliminarily explore the molecular mechanism of its anti-tumor effect. HepG2 cells were treated with different concentrations of Tibetan tea water extract and Tea-paclitaxel combination. The cytotoxicity was measured. The apoptotic features were detected by Hoechst 33258 fluorescence staining, flow cytometry and caspase activity assay kit of Caspase-3/8/9. Crystal violet staining method was adopted to observe the colony formation capacity of different treatment groups. The results revealed that Ya'an Tibetan tea water extract inhibited the proliferation of HepG2 cells in a time-and dose-dependent manner. Meanwhile, it also enhanced the cytotoxic effect of paclitaxel on HepG2 cells, while had no cytotoxic effect on human liver cells LO2. HepG2 cells exhibited obvious morphological changes of apoptosis after treatments. The enzyme activity of Caspase-3/8/9 in HepG2 cells were increased. Furthermore, compared with treatment alone, Tibetan tea in combination with paclitaxel significantly induced the cell apoptosis (P < 0.05) and inhibited the colony formation capacity of HepG2 cells (P < 0.05). This study provides an experimental basis for the further development and clinical application of Ya'an Tibetan. However, its anti-cancer potential needs further study.