bluuebunny/crossref_metadata_2025_split huggingface dataset:
Double-parameter iterative Tikhonov regularization of weak single-epoch GNSS mathematical models
Authors: Fischer Artur , Cellmer Sławomir , Nowel Krzysztof 
Published: October 2022

Abstract

In the spirit of Tikhonov regularization, the double-parameter iterative regularization is developed to mitigate the weakness of single-epoch GNSS models. We propose a simultaneous double-parameter iterative regularization of the least-squares (LS) estimators of parameters of interest in the GNSS model to improve their accuracy properties so that variance-covariance (vc) matrices will describe their good scale. Regularization parameters (RP) are stored in the regularization operator, which plays the standardizing role. Thus, this approach considers the heteroscedasticity of unambiguous and ambiguous model parameters in the regularization principle. We used the quality-based mean squared error (mse) matrix trace minimization criterion to find the optimal RP values simultaneously. Against the unconstrained LS estimation, two variants of iterative regularization of unconstrained LS estimation are tested. The first is the double-parameter iterative Tikhonov regularization. In turn, the second one is its one-parameter counterpart. The numerical example is based on a simulation to guarantee a wide range of geometric positioning construction and provide a variety of measurement circumstances. The double-parameter iterative regularization mitigates the weakness of the single-epoch model more effectively by considering the heteroscedasticity of model parameters in the regularization principle. At the cost of losing the regularized LS estimator’s unbiased localization, the vc-matrix describes float solutions of better precision. They are less dispersed around the actual parameter values at the cost of bias. Thus, higher accuracy in the sense of mse is provided. The regularized estimator is, therefore, well-scaled with biased localization. It also provides the more peaked probability density function (PDF) of float ambiguity estimates, obtaining a higher success rate (SR) of correct integer-least squares (ILS) ambiguity resolution (AR). Therefore, the improved ILS estimator performs well in the ambiguity domain with regularized bias when processing a single-epoch data set, allowing precise GNSS positioning.
ROS-mediated antitumor activity, apoptosis, and molecular docking studies of platinum (II) coordination complexes bearing 2-(diphenylphosphino)pyridine ligand
Authors: Fereidoonnezhad Masood , Abedanzadeh Sedigheh , Bagherzadeh Mehrafarin , Foroutan Gisou , Khodayar Mohammad Javad , Panahimehr Mohammad , Mojaddami Ayyub 
Published: October 2022

Abstract

In this study, the cytotoxicity of platinum (II) complexes containing 2-(diphenylphosphino)pyridine (dppy) ligands with a general formula of [cis- PtX2(κ1 P-dppy)2], (X = Cl (1a), p-tolyl (1b) and Me (1c)) on human lung (A549), ovarian (SKOV3), breast (MCF-7) cancer and normal breast (MCF-10A) cell line have been studied using MTT assay. Since the coordination sphere of metal complexes certainly affects the biological behavior, a series of platinum-phosphine complexes with diverse types of auxiliary ligands (Cl, p-tolyl, and Me) were employed to investigate their effect on biological activity. Based upon the in vitro cytotoxicity results, 1b exhibits a marked cell growth-inhibitory effect against ovarian and lung cancer cell lines with an IC50 value of 9.40 and 5.58 µM, respectively, which were significantly better than that observed for cisplatin (19.02, and 8.64 µM). Additionally, all complexes achieved significantly lower cytotoxicity towards MCF-10A. To investigate the interaction of complexes with DNA, an electrophoresis mobility shift assay was conducted on 1b, which indicated that complexes bind to DNA and affect its electrophoretic mobility. An analysis of apoptosis in A549 cells supported the conclusion that 1b inhibits cell proliferation via induction of apoptosis at a concentration-dependent manner. As a result of excessive production of reactive oxygen species (ROS), DNA was further damaged by these complexes. In order to determine the binding mode and binding site as well as binding energies, Molecular docking was also used to investigate the interactions of compounds with four different DNA structures (PDB IDs: 1BNA, 1LU5, 3CO3, and 198D). According to this study, 1b may have important applications in biopharmaceuticals.
Inhibition of the NLRP3 Inflammasome Activation/Assembly through the Activation of the PI3K Pathway by Naloxone Protects Neural Stem Cells from Ischemic Condition
Authors: Kim Ji Young , Choi Na-Young , Hwang Mina , Koh Seong-Ho 
Published: October 2022

Abstract
Naloxone is a well-known opioid antagonist and has been suggested to have neuroprotective effects in cerebral ischemia. We investigated whether naloxone exhibits anti-inflammatory and neuroprotective effects in neural stem cells (NSCs) injured by oxygen-glucose deprivation (OGD), whether it affects the NOD-like receptor protein 3 (NLRP3) inflammasome activation/assembly, and whether the role of the phosphatidylinositol 3-kinase (PI3K) pathway is important in the control of NLRP3 inflammasome activation/assembly by naloxone. Primary cultured NSCs were subjected to OGD and treated with different concentrations of naloxone. Cell viability, proliferation, and the intracellular signaling proteins associated with the PI3K pathway and NLRP3 inflammasome activation/assembly were evaluated in OGD-injured NSCs. OGD significantly reduced survival, proliferation, and migration and increased apoptosis of NSCs. However, treatment with naloxone significantly restored survival, proliferation, and migration and decreased apoptosis of NSCs. Moreover, OGD markedly increased NLRP3 inflammasome activation/assembly and cleaved caspase-1 and interleukin-1β levels in NSCs, but naloxone significantly attenuated these effects. These neuroprotective and anti-inflammatory effects of naloxone were eliminated when cells were treated with PI3K inhibitors. Our results suggest that NLRP3 inflammasome is a potential therapeutic target and that naloxone reduces ischemic injury in NSCs by inhibiting NLRP3 inflammasome activation/assembly mediated by the activation of the PI3K signaling pathway.
Artificial intelligence identifies milling status based on vibration signals in robot-assisted cervical laminectomy
Authors: Wang Rui , Bai He , Xia Guangming , Zhou Jiaming , Dai Yu , Xue Yuan 
Published: October 2022

Abstract
Background
With the development of the science and technology, the application of artificial intelligence (AI) in the field of medicine has made great progress. The purpose of this study is to explore whether the machine learning k-nearest neighbors (KNN) can identify three milling states based on vibration signals, namely the cancellous bone (CCB), the ventral cortical bone (VCB) and the penetration (PT) in robot-assisted cervical laminectomy.
Methods
Cervical laminectomy was performed on the cervical segments of eight pigs by the robot. Firstly, bilateral dorsal cortical bone and part of the CCB were milled with the 5 mm blade and then the bilateral laminas were milled to penetration with 2 mm blade. During milling process of 2 mm blade, the vibration signals were collected by the acceleration sensor, and the harmonic components were extracted by the fast Fourier Transform (FFT). The feature vectors was constructed with the vibration signals amplitudes of 0.5 kHz, 1.0 kHz, 1.5 kHz and then the KNN was trained by the FV to predict milling states.
Results
The amplitudes of vibration signals between VCB and PT were statistically different at 0.5 kHz 1.0 kHz, and 1.5 kHz (P < 0.05), and the amplitudes of vibration signals between CCB and VCB was significantly different at 0.5 kHz and 1.5 kHz (P < 0.05). KNN recognition success rates of the CCB, VCB, and PT were 92%, 98%, and 100% respectively. 6% and 2% of CCB were identified as VCB and PT respectively, and 2% of VCB was identified as PT.
Conclusions
KNN can distinguish different milling states of the high-speed bur in robot-assisted cervical laminectomy based on the vibration signals. This method provides a feasible method to improve the safety of the posterior cervical decompression surgery.
Analysis and prediction of PM2.5 concentration based on LSTM-XGBoost-SVR model
Authors: Li Xinfang , Huo Hua , Liu Zhonghua 
Published: October 2022

Abstract
Air pollution has always been a concern, among which PM2.5 is the main culprit of pollution. Therefore, the prediction of PM2.5 is conducive to timely prevention and control. For the PM2.5 concentration value, air quality data and meteorological data of each station in Xinbei City, Taiwan Province, a combined prediction method of LSTM-XGBoost-SVR based on time-space characteristics is proposed, which further improves the prediction accuracy. Spearman correlation analysis and tree-based feature selection method are used to select important variables. First, the filtered air quality factors and meteorological factors are input into the LSTM model for the first step prediction, and then their predicted values are fused as new features and input into the XGBoost model with the original feature collection for training. Considering the impact of atmospheric movement on PM2.5 transmission, the prediction results of the two models and PM2.5 concentration data of the stations related to the research stations are fused as input feature variables, input the SVR model optimized by GWO for prediction. To verify the effectiveness of the model, the single model, different fusion strategies and other combined models with optimization algorithms are compared. The results show that the proposed combined model is superior to the single model and other benchmark models, and GWO optimization algorithm is superior to PSO and GA algorithms in terms of convergence and effect. Therefore, lSTM-XGBoost-SVR combined model has more advantages in PM2.5 concentration prediction.
Synthesis Characterization and Protective Efficiency of Novel Polybenzoxazine Precursor as a Potential Corrosion Inhibitor for Mild Steel
Authors: Soliman Ahmed M. M. , Aly Kamal I. , Mohamed Mohamed Gamal , Amer Amer A. , Belal Mostafa R. , Abdel-Hakim Mohamed 
Published: October 2022

Abstract
In this study, salicylaldehyde (SA) and n-hexylamine (Hex-NH2) were used to produce 2-[(E)-(hexylimino)methyl] phenol (SA-Hex-SF), which was then reduced by sodium borohydride to obtain 2[(hexylamino)methyl]phenol (SA-Hex-NH), and finally the SA-Hex-NH reacted with formaldehyde to afford a new benzoxazine precursors (SA-Hex-BZ). Then, the poly(SA-Hex-BZ) was prepared through thermal curing polymerization of its monomer at of benzoxazine at 210 oC. The chemical structure of the SA-Hex-BZ was analyzed using FT-IR, 1H, and 13C NMR spectroscopy. The thermal properties, surface morphology and crystallinity of the SA-Hex-BZ and its PBZ polymer were studied by differential Scanning Calorimetric (DSC), TGA, scanning Electron Microscopy (SEM), and X-Ray analysis, respectively. poly(SA-Hex-BZ) was easily prepared on mild steel (MS) via spray painted and thermal curing methods. Finally, the electrochemical measurements were applied to measure the anticorrosion properties of MS coated with poly(SA-Hex-BZ). This work demonstrated that PBO coating was hydrophobic and had a high anticorrosion effect on MS with efficiency was 91.7%.
Umbilical Artery Cord Blood Glucose Predicted hypoglycemia in Gestational Diabetes Mellitus and Other at-risk Newborns
Authors: Wang Yuan , Liu Huahua , Zhang Leilei , Wang Xin , Wang Mingbo , Chen Zhifang , Zhang Feng 
Published: October 2022

Abstract
Backgrounds: To explore the value of umbilical artery cord blood glucose (UACBG) in predicting hypoglycemia in gestational diabetes mellitus (GDM) and other at-risk newborns, and to provide a cut-off UACBG value for predicting hypoglycemia occurrence.
Methods: In this prospective study, we enrolled at-risk infants delivered vaginally, including neonates born to mothers with GDM, premature, macrosomia, and low birth weight. We separated the infants into GDM group and other at-risk group. All subjects underwent UACBG measurement during delivery. Neonatal peripheral blood glucose measurement was performed at 0.5 hand 2 h after birth. The predictive performance of UACBGfor neonatal hypoglycemia was assessed using receiver operating characteristic curve (ROC), area under curve (AUC), sensitivity and specificity.
Results: 916 newborns were included, 538 in GDM group and 378 in other at-risk group. For hypoglycemia prediction within 2 h, the best cut-off of UACBG was 4.150 mmol/L, yielding an AUC of 0.688 (95% CI 0.625-0.751). UACBG had a better performance at 0.5 h (AUC 0.757; 95% CI 0.690-0.824). In detail, the AUC was 0.703 in GDM group (95% CI 0.594-0.811), with the optimal cut-off of 4.550 mmol/L. In other at-risk group, the AUC was 0.797（95% CI 0.716-0.877), and the best threshold was 4.350 mmol/L. No significant differences were observed between GDM group and other at-risk group in AUC at 0.5 h, 2 h and within 2 h.
Conclusions: UACBG may be an efficient, non-invasive approach to predicting neonatal hypoglycemia within 2 h after birth.
Orthotropic Hygroscopic Behavior of Mass Timber: Theory, Computation, and Experimental Validation
Authors: Tong Danyang , Brown Susan-Alexis , Yin Hao , Corr David , Landis Eric , Luzio Giovanni Di , Cusatis Gianluca 
Published: October 2022

Abstract

Recent rapid improvements in laminated timber technology has led to the increased use of of wood in both mid- and high-rise construction, generally posed as a more carbon friendly alternative to concrete. However, wood is significantly more sensitive to changes in relative humidity than concrete, which may impact the sustainability and durability of mass timber buildings. Moisture cycling in particular affects not only shrinkage and swelling but also strongly influences wood creep. This sensitivity is of high concern for engineered wood used in mass timber buildings. At the same time, wood, considered as an orthotropic material, exhibits varying diffusivity in all three directions, complicating efforts to characterize its behavior. In this work, an orthotropic hygroscopic model was developed for use in laminated timber. A species database for wood sorption isotherm was created and an existing model was used to fit species-based parameters. Diffusion behavior which considers the sorption isotherm was modeled through numerical simulations, and species-dependent orthotropic diffusion parameters were identified. A database of permeability in all directions for various species was created. The resulting model is able to predict diffusion behavior in glulam and cross laminated timber (CLT) for multiple species of the lab tests. The model also predicts the moisture ranges for a CLT panel under environmental change with parameters from these sorption isotherm and diffusion databases.
Traces of introgression from cAus into tropical Japonica observed in African upland rice varieties
Authors: Beye Abdoulaye , Billot Claire , Ronfort Joëlle , Diouf Diaga , Glaszmann Jean Christophe 
Published: October 2022

Abstract
Background
Asian rice Oryza sativa, first domesticated in China, is having considerable success in African fields. While the timing and location of this introduction remain unclear, rice of Asian origin may have evolved specifically during and after migration to Africa, resulting in unique adaptations, particularly in relation to upland cultivation as frequently practiced in Africa.
Methods
We investigated the genetic differentiation between Asian and African varieties using the 3000 Rice Genomes SNP dataset. African upland cultivars were first characterized using principal component analysis among 292 tropical Japonica accessions of both origins, revealing higher similarity with accessions from Indonesia and Madagascar. Peculiarities of African accessions were then explored using two inference techniques, PCA-KDE for supervised classification and chromosome painting, and ELAI for individual allelic dosage monitoring.
Key results
Ambiguities of local differentiation between Japonica and other groups pointed at genomic segments that potentially resulted from genetic exchange. Those specific to West African upland accessions were concentrated on chromosome 6 and featured several cAus introgression signals, including a large one between 17.9 and 21.7 Mb. We found iHS statistics in support of positive selection in this region and we provide a list of candidate genes enriched in GO terms for this adaptation to harsh upland cultivation conditions.
Precise control of liposome size using characteristic time depends on solvent type and membrane properties
Authors: Choi Sunghak , Kang Bong Su , Yang Eunhye , Kim Kee Sung , Kwak Moon Kyu , Chang Pahn-Shick , Jung Hosup 
Published: October 2022

Abstract
Controlling the sizes of liposomes is critical in drug delivery systems because it directly influences their cellular uptake, transportation, and accumulation behavior. Although hydrodynamic focusing has frequently been employed when synthesizing nano-sized liposomes, little is known regarding how flow characteristics determine liposome formation. Here, various sizes of homogeneous liposomes (50–400 nm) were prepared according to flow rate ratios in two solvents, ethanol, and isopropyl alcohol (IPA). Relatively small liposomes formed in ethanol due to its low viscosity and high diffusivity, whereas larger, more poly-dispersed liposomes formed when using IPA as a solvent. This difference was investigated via numerical simulations using the characteristic time factor to predict the liposome size; this approach was also used to examine the flow characteristics inside the microfluidic channel. In case of the liposomes, the membrane rigidity also has a critical role in determining their size. The addition of cholesterol enhanced membrane properties such that the liposome size increased (40–530 nm). However, the interposition of short-chain lipids de-aligned the bilayer membrane, leading to its degradation; this decreased the liposome size. Adding short-chain lipids linearly decreased the liposome size (130–230 nm), but at a shallower gradient than that of cholesterol. This analytical study expands the understanding of microfluidic environment in the liposome synthesis by offering design parameters and their relation to the size of liposomes.
Reducing Emissions using Renewable Sources for Electricity Generation in Stewart Island
Authors: Nasab Navid Majdi , Kilby Jeff , Bakhtiaryfard Leila 
Published: October 2022

Abstract
This paper evaluates supply to coastal communities that are isolated from a main supply grid compared to current used diesel station. The case study is Stewart Island, where the electricity is provided by a distribution network powered by up to five diesel generators at a central diesel power station. Local residents believe that reducing the consumption of diesel and having a renewable source of electricity generation are two of the island’s highest priorities. Merging a tidal energy source (predictable) with wind (unpredictable) and diesel (back-up), through a microgrid, may be a way to increase reliability and decrease the amount of pollutants. Using two wind and four tidal turbines, plus one diesel generator for back-up, is the best design in terms of lower greenhouse gas emissions, higher renewable fraction, and reduced net present cost. This configuration is simulated and compared with diesel generators system using HOMER PROro software. The results enable to analyse the amount of emissions for both scenarios.
Additions to the morphology of the Cucumariidae. I. Intraspecific variation of the retractor muscle in Parathyone braziliensis (Verrill, 1868) and Thyonidium seguroensis (Deichmann, 1930) (Holothuroidea: Dendrochirotida)
Authors: Martins Luciana , Tavares Marcos 
Published: October 2022

Abstract

Intraspecific variation of the gross morphology of the retractor muscle was studied in 60 specimens of Parathyone braziliensis and 17 specimens of Thyonidium seguroensis. Specimens were dissected to expose the retractor muscle or were analyzed by micro-computed tomography. Early expectations that the point of origin of the retractor muscle at the longitudinal muscle relative to the midpoint of the body length was age-related and that the split of the retractor muscle into separate muscle bands could be used as taxonomic characters to separate species were not supported by anatomical evidence.
Construction and validation of a necroptosis-related gene signature associated with the tumor microenvironment in melanoma
Authors: Huang Jie , Lao Jianle , Lai Hongyi , Tan Zhen , Qin Wentao 
Published: October 2022

Abstract

Background
Although carcinogenesis, cancer metastasis, and immunology are all closely related to necroptosis, research is still insufficient to pinpoint the precise function of necroptosis-related genes (NPRGs) in melanoma.
Methods
The training cohort included melanoma patient samples from The Cancer Genome Atlas (TCGA), and the validation cohort included melanoma patient samples from the Gene Expression Omnibus (GEO) database (GSE65904). The least absolute shrinkage and selection operator (LASSO) regression was used in the training cohort to construct prognostic signatures based on six NPRGs. Patients were split into groups with high and low risk. The Kaplan-Meier method compared the various risk groups' overall survival (OS). Utilizing Cox regression, the effect of their clinicopathological characteristics and risk scores on survival was assessed. The CIBERSORT method was used to evaluate the immunological microenvironment. The relationship between clinical features, levels of checkpoint gene expression, and risk scores were examined using correlation analysis. The GEPIA2 database and immunohistochemistry were used to confirm the gene expression of six NPRGs (IHC).
Results
The prognostic signature of the NPRGs predicted a worse OS in the high-risk group, and the test cohort corroborated this prediction. In patients with melanoma, risk scores also independently predicted survival outcomes. Significant differences existed between the various risk groups in the immune microenvironment and the expression of checkpoint genes. Necroptosis score revealed a substantial positive link with natural killer cells and M2 macrophages and a significant negative correlation with T-cell and B-cell infiltration. In the high-risk group, several immune checkpoint genes displayed low levels of expression. The results of the IHC investigation were in agreement with the expression of NPRGs from GEPIA2.
Conclusion
In melanoma patients, the prognostic signature linked to NPRGs can be employed as novel prognostic predictors of prognosis and the immune microenvironment.