bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inhibiting Wnt Secretion Reduces High Bone Mass Caused by Sost Deficiency or Point Mutations in Lrp5
Authors: Williams Bart , Diegel Cassandra , Foxa Gabrielle , McDonald Mitchell , Madaj Zachary , Kramer Ina , Moes Charles , Guth Sabine , Liu Jun , Harris Jennifer , Kneissel Michaela 
Published: January 2023

Abstract
Proper regulation of Wnt signaling is critical for normal bone development and homeostasis. Mutations in several Wnt signaling components, which increase the pathway's activity in the skeleton, cause high bone mass in human patients and mouse models. Increased bone mass is often accompanied by severe headaches from increased intracranial pressure, which can lead to fatality and loss of vision or hearing due to the entrapment of cranial nerves. In addition, progressive bossing of the forehead and mandibular overgrowth occur in almost all patients. Treatments that would provide symptomatic relief in these patients are limited. Porcupine-mediated palmitoylation is necessary for Wnt secretion and binding to the Frizzled receptor. Chemical inhibition of porcupine is a highly selective inhibitor of all Wnt signaling. We treated three different mouse models of high bone mass caused by aberrant Wnt signaling: homozygosity for loss-of-function in SOST, which models Sclerosteosis, and two strains of mice carrying different point mutations in LRP5 (equivalent to human G171V and A214V) with porcupine inhibitors for 5–6 weeks. Treatment significantly reduced both trabecular and cortical bone mass in all three models. This demonstrates that porcupine inhibition is potentially therapeutic for symptomatic relief in patients who suffer from these disorders and further establishes that the continued production of Wnts is necessary for sustaining high bone mass in these models.
Vitamin C injection improves antioxidant stress capacity through regulating blood metabolism in post-transit yak
Authors: Zhang Li , Chen Yi , Zhou Ziyao , Wang Zhiyu , Fu Lin , Zhang Lijun , Xu Changhui , Loor Juan J. , Wang Gaofu , Zhang Tao , Dong Xianwen 
Published: January 2023

Abstract
Transportation stress is one of the most serious issues in the management of yak. Previous studies have demonstrated that transport stress is caused by a pro-oxidant state in the animal resulting from an imbalance between pro-oxidant and antioxidant status. In this context, vitamin C has the ability to regulate reactive oxygen species (ROS) synthesis and alleviate oxidative stress. Although this effect of vitamin C is useful in pigs, goats and cattle, the effect of vitamin C on the mitigation of transport stress in yaks is still unclear. The purpose of this study was to better assess the metabolic changes induced by the action of vitamin C in yaks under transportation stress, and whether these changes can influence antioxidant status. After the yaks arrived at the farm, control or baseline blood samples were collected immediately through the jugular vein (VC_CON). Then, 100 mg/kg VC was injected intramuscularly, and blood samples were collected on the 10th day before feeding in the morning (VC). Relative to the control group, the VC injection group had higher levels of VC. Compared with VC_CON, VC injection significantly (P < 0.05) decreased the blood concentrations of ALT, AST, T-Bil, D-Bil, IDBIL, UREA, CRP and LDH. However, VC injection led to greater (P < 0.05) AST/ALT and CREA-S relative to VC_CON. There was no difference (P > 0.05) in GGT, ALP, TBA, TP, ALBⅡ, GLO, A/G, TC, TG, HDL-C, LDL-C, GLU and L-lactate between VC_CON and VC. The injection of VC led to greater (P < 0.05) concentration of MDA, but did not alter (P > 0.05) the serum concentrations of LPO and ROS. The injection of VC led to greater (P < 0.05) serum concentrations of POD, CAT and GSH-PX. In contrast, lower (P < 0.05) serum concentrations of SOD, POD and TPX were observed in VC relative to VC_CON. No difference (P > 0.05) in GSH, GSH-ST and GR was observed between VC_CON and VC. Compared with the control group, metabolomics using liquid chromatography tandem–mass spectrometry identified 156 differential metabolites with P < 0.05 and a variable importance in projection (VIP) score > 1.5 in the VC injection group. The injection of VC resulted in significant changes to the intracellular amino acid metabolism of glutathione, glutamate, cysteine, methionine, glycine, phenylalanine, tyrosine, tryptophan, alanine and aspartate. Overall, our study indicated that VC injections were able to modulate antioxidant levels by affecting metabolism to resist oxidative stress generated during transport.
A Poisson Hidden Markov Model and Fuzzy based Chicken Swarm Optimization algorithm for efficient fault node detection in wireless sensor network
Authors: B Nagarajan , S.V.N Santhosh Kumar 
Published: January 2023

Abstract

Wireless Sensor Networks (WSN) is built with miniature sensor nodes (SN) which are deployed into the geographical location being sensed to monitor environmental condition which transfer the sensed physical information to the base station for further processing. The sensor nodes frequently experience node failure as a result of their hostile deployment and resource limitations. In WSN, node failure can cause a number of issues, namely Wireless Sensor Networks topology changes, broken communications links, disconnected portions of the network, and data transmission errors. An important concern of WSN is the detecting, diagnosing and recovering of sensor node failures. In the course of this effort, an effective strategy for sensor node failure detection algorithm using Poisson Hidden Markov Model (PHMM) and the Fuzzy based Chicken Swarm Optimization (F-CSO) is proposed for efficient detection of sensor nodes fault in the WSN. The proposed work offers optimal false alarm, false positive, energy consumption, detection accuracy, network lifetime, and least delay rates. Moreover, the F-CSO provides improved localization to locate the defective sensor nodes which are present in the WSN. The proposed work is implemented in the NS2 simulator with realistic simulation parameters and the simulation result demonstrate that the proposed work is more effective in terms of false alarm rate, false positive rate, detection accuracy, delay, energy consumption and network lifetime when it is compared with other existing state of art systems.
The Role of Oral and Prenatal Healthcare Providers in the Promotion of Oral Health for Pregnant Women
Authors: Agili Dania E. Al , Khalaf Zeinab I. 
Published: January 2023

Abstract
Background
Hormonal alterations and lowered immunity during pregnancy aggravated by poor oral hygiene increase the risk of pregnant women of developing oral diseases. We conducted this study to examine the role of oral and prenatal health providers in promoting dental care for pregnant women attending primary healthcare centers (PHCs) in Saudi Arabia.
Methods
We conducted an analysis of women (n = 515) who visited a dentist before pregnancy from a population of women who attended prenatal care at PHCs. We examined associations between oral practices of dental and prenatal health providers (exposures) and women’s utilization of dental care during pregnancy (outcome). Covariates included age, education, family income, health insurance, nationality, and presence of dental problems.
Results
Only 30.0% of women were informed by a dentist before pregnancy about the importance of visiting a dentist during pregnancy. About 37.0% of women were asked about oral health, 34.4% were informed about the importance of dental care during pregnancy, and 33.2% had their mouths inspected by prenatal health providers. Women informed by dentists about the importance of dental visits during pregnancy were twice as likely (Odds ratio [OR]: 2.42, 95% confidence interval [CI]: 1.63–3.60) to visit a dentist during pregnancy. Women who were referred to dentists, had their mouth inspected, or were advised to visit a dentist during pregnancy by prenatal providers were 4.29 (95% CI: 2.67–6.88), 3.79 (95% CI: 2.47–5.82), and 3.37 (95% CI: 2.16–5.27) times as likely to visit a dentist during pregnancy.
Conclusion
The partaking of oral and prenatal healthcare providers in evidence-based oral health promotion practices, antenatal-dental collaboration and closing the referral loop increase pregnant women’s access to and utilization of preventive and treatment dental services.
Machine learning-based tumor malignancy prediction based on PBMC methylome landscape in canine mammary tumor
Authors: Nam A-Reum , Heo Min , Lee Kang-Hoon , Kim Ji-Yoon , Won Sung-Ho , Cho Je-Yoel 
Published: January 2023

Abstract
Background
Genome-wide dysregulation of CpG methylation accompanies tumor progression and characteristic states of cancer cells, prompting a rationale for biomarker development. Understanding how the archetypic epigenetic modification determines systemic contributions of immune cell types is the key to further clinical benefits.
Results
In this study, we characterized the differential DNA methylome landscapes of peripheral blood mononuclear cells (PBMCs) from 76 canines using methylated CpG-binding domain sequencing (MBD-seq). Through gene set enrichment analysis, we discovered that genes involved in the growth and differentiation of T- and B-cells are highly methylated in tumor PBMCs. We also revealed the increased methylation at single CpG resolution and reversed expression in representative marker genes regulating immune cell proliferation (BACH2, SH2D1A, TXK, UHRF1). Furthermore, we utilized the PBMC methylome to effectively differentiate between benign and malignant tumors and the presence of mammary gland tumors through a machine-learning approach.
Conclusions
This research contributes to a better knowledge of the comprehensive epigenetic regulation of circulating immune cells responding to tumors and suggests a new framework for identifying benign and malignant cancers using genome-wide methylome.
Investigation of influence of Kerr and detuning parameters over instability gain in the three wave resonant interaction of Stimulated Raman backscattering
Authors: Joseph Ancemma , Mohanraj P. 
Published: January 2023

Abstract
In this article, we study the modulation instability that rules over the evolution of three wave resonant interaction of backward stimulated Raman process. We intend to investigate the influence of Kerr and detuning parameters over the conventional instability gain under both the anomalous and normal dispersion regimes. We also tend to reveal the inertial instability gain arising in the absence of dispersion and explore its dependence over the system parameters.
Effect of lanthanum doping on structural, optical, and photocatalytic properties of YVO4
Authors: Karacaoglu Erkul , Yildirim Ozlem Altintas , Ozturk Teoman , Gul Mert 
Published: January 2023

Abstract
Yttrium vanadate (YVO4) based undoped and La3+-doped powders were prepared through a solid-state reaction method. The structural characterization carried out with XRD indicating that the samples are crystalline tetragonal type crystal structure of YVO4. XRD of the YVO4: La3+ powder contain same YVO4 diffraction lines and no other lanthanum related impurity and/or secondary phases were detected. Both undoped and La3+-doped YVO4 samples show combined white light emission peaks appeared at 478, 571 and 613 nm. The higher intensity of peaks located at 478 and 571 nm in YVO4: La3+ sample can be attributed to O2−-La3+ and O2−-V5+ charge transfer mechanisms. Besides, photocatalytic activities of the undoped and La3+ doped YVO4 samples were investigated under the UV light irradiation monitoring the aqueous solution of methylene blue (MB) dye. Hence, the effects of La3+ dopant ion on the photoluminescence properties are discussed in detail. While the degradation of MB reaches to 38.8% after 180 minutes of UV light exposure with undoped YVO4, the degradation efficiency of La3+ doped YVO4 reaches 76.7%. Pseudo-first-order reaction rate constant (k) of La3+-doped YVO4 (0.00846 min− 1) is determined 66% greater than undoped one (0.00287 min− 1).
Deep learning-based TCP congestion control algorithm for disaster 5G environment
Authors: Kuppusamy Senthil Prakash , Subramaniam Mahendrakumar , t Gunasekar 
Published: January 2023

Abstract
The 5G mobile telecommunication network is becoming known as one of the finest communication networks for transmitting and controlling emergencies due to its high bandwidth and short latency. The high-quality videos taken by a drone, an incorporated Internet of Things (IoT) gadget for recording in a catastrophe situation, are very helpful in controlling the crisis. The 5G mm-Wave frequency spectrum is susceptible to intrusion and has beam realignment concerns, which can severely reduce Transmission Control Protocol (TCP) effectiveness and destroy connections. High-speed devices and disaster zones with multiple barriers make this problem significantly worse. This research offers a Deep-Learning-oriented Congestion Control Approach (DLCCA) for a catastrophic 5G mm-Wave system to solve this problem. By analyzing the node's transmitted data, DLCCA predicts when the network will be disconnected and reconnected, adjusting the TCP congestion window accordingly. To accomplish this, the proposed approach estimates the bottleneck link's queue length using the average Round Trip Time (RTT) and its data collected across the connection. Consequently, the proposed approach can use this buffer size to examine the congestion state and differentiate it from the randomized loss situation. This would stop the window length from getting smaller, increasing the amount of data transferred and speeding up the recommended method. Additionally, DLCCA frees up bottleneck bandwidth. The research provides simulated tests for TCP DLCCA compared to Newreno, Cubic, Compound, and Westwood while sustaining a two-way connection under heavy load and a wide range of randomized loss rates using the networking simulation NS-2. Experimental results show that DLCCA performs better than other TCP variants and significantly boosts throughput.
An RNA seq-based reference landscape of human normal and neoplastic brain
Authors: Arora Sonali , Szulzewsky Frank , Jensen Matt , Nuechterlein Nicholas , Pattwell Siobhan S , Holland Eric C. 
Published: January 2023

Abstract
In order to better understand the relationship between normal and neoplastic brain, we combined five publicly available large-scale datasets, correcting for batch effects and applying Uniform Manifold Approximation and Projection (UMAP) to RNA-seq data. We assembled a reference Brain-UMAP including 702 adult gliomas, 802 pediatric tumors and 1409 healthy normal brain samples, which can be utilized to investigate the wealth of information obtained from combining several publicly available datasets to study a single organ site. Normal brain regions and tumor types create distinct clusters and because the landscape is generated by RNA seq, comparative gene expression profiles and gene ontology patterns are readily evident. To our knowledge, this is the first meta-analysis that allows for comparison of gene expression and pathways of interest across adult gliomas, pediatric brain tumors, and normal brain regions. We provide access to this resource via the open source, interactive online tool Oncoscape, where the scientific community can readily visualize clinical metadata, gene expression patterns, gene fusions, mutations, and copy number patterns for individual genes and pathway over this reference landscape.
All-optical logic gates using E-shaped silicon waveguides at 1.55 μm
Authors: Kotb Amer , Zoiros Kyriakos E. , Guo Chunlei 
Published: January 2023

Abstract
Owing to the advanced fabrication technology of silicon, silicon waveguides are particularly attractive for implementing all-optical signal processing devices and switches. Therefore, in this paper, a silicon-on-silica waveguide that consists of four slots arranged in the shape of the letter E is proposed to be employed as the building block for simulating fundamental all-optical logic gates, including XOR, AND, OR, NOT, NOR, NAND, and XNOR, at 1.55 μm telecommunications wavelength. The operation concept of these logic gates relies on the constructive and destructive interference that results from the phase difference induced by optical beams that are incident on the E-shaped waveguide. The performance of the target logic gates is assessed against the contrast ratio (CR) metric. The simulation results suggest that, by exploiting the E-shaped waveguides, these gates can operate with higher CR and faster speed compared to other designs.
Comparison of bacterial profiles in human milk from mothers of term and preterm infants
Authors: Miura Kumiko , Tanaka Miori , Date Midori , Ito Mizuho , Mizuno Noriko , Mizuno Katsumi 
Published: January 2023

Abstract
Background
Bacteria in human milk (HM) can be endogenous or exogenous, and the latter can carry the risk of various infections in very low-birth weight infants because of the possibility of contamination with pathogenic bacteria. The mother's lifestyle and environment have a major influence on such bacterial contamination, and it is thought that there are differences in the number and types of bacteria cultured from HM between term mothers whose infants are at home and mothers of preterm infants in neonatal intensive care units (NICUs). This research aimed to compare the bacterial profiles of HM among mothers of term and preterm infants.
Methods
The data comprised 214 milk samples (term: 75, preterm: 139) donated by 47 registered donors (term: 31, preterm: 16) from January to November 2021. Bacterial culture results were compared between term and preterm HM samples. Differences in the mean total bacterial count and bacterial species count per batch were analyzed using Welch’s t-test and Student's t-test, respectively. The bacterial contamination rate was analyzed using Chi-square test or Fisher's exact test.
Results
Coagulase-negative Staphylococci, Staphylococcus aureus, and Pseudomonas fluorescens were frequently found in both term and preterm HM. Serratia liquefaciens (p < 0.001) and two other bacteria contaminated term HM, while five types of bacteria, including Enterococcus faecalis and Enterobacter aerogenes (p < 0.001) contaminated preterm HM. The mean (SD) total bacterial count was 351,141 (1,060,949) CFU/100 µL for term HM and 872,272 (2,324,477) CFU/100 µL for preterm HM (p = 0.026). Similarly, the number of bacterial species in HM was more diverse in preterm donors (p < 0.001).
Conclusions
This study revealed that HM from preterm donors has a higher total bacterial count and greater diversity and characterization of bacterial types compared with HM from term donors. These results also suggested there was a trend toward greater contamination with nosocomial-infection-causing bacteria in the NICU. Enhanced hygiene instructions for preterm donors may reduce the need to dispose of valuable donated HM as well as the risk of BM pathogen transmission to infants in the NICU.
Analysis of a Rock Mass Overburden Consolidation Grouting Method by Lugeon and Acoustic Tests
Authors: Dou Jinxi , Yang Xiaolong , Gong Pan , Wang Zhilin , Wang Kexiang , Zhou Tiangang , Zhou Mengxia 
Published: January 2023

Abstract
The Baihetan superhigh arch dam is the largest hydropower station under construction in the world. Columnar jointed basalt (CJB) is widely distributed and densely jointed at the foundation of the Baihetan superhigh arch dam and poses a potential risk to its overall stability. A method of overburden consolidation grouting of the rock mass is proposed that solves the problem of unloading relaxation of CJB due to excavation of the exposed rock mass. The results show the following. 1) The method of nonoverburden grouting cannot achieve the quality inspection standard requirement that at least 90% of the wave velocities be greater than or equal to 4200 m/s, and the overall wave velocity of the rock mass before excavation is greater than that after grouting. 2) After overburden consolidation grouting of the rock mass, which includes controlling grouting pressure and concentration and performing perforation and sequence grouting, the water permeability of the inspection holes is less than 3 Lu, more than 90% of the wave velocities in the rock mass are greater than 4200 m/s, and the integrity of the rock mass is greatly improved. 3) The problems of conventional consolidation grouting technology are solved to protect the thin layer of breccia lava at the foundation of the Baihetan dam. In addition, the problem of unloading relaxation of CJB due to exposure to consolidation grouting is solved in the Baihetan superhigh arch dam project. This application has reference significance for the design and application of consolidation grouting in similar projects.
Multivariate Multiscale Entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender- related differences
Authors: Lewandowska Monika , Tołpa Krzysztof , Rogala Jacek , Piotrowski Tomasz , Dreszer Joanna 
Published: January 2023

Abstract
Background
The study aimed to determine the resting-state EEG (rsEEG) dynamics quantified using the multivariate Multiscale Entropy (mMSE), and the sex/gender (s/g) differences in the mMSE features. The rsEEG was acquired from 95 healthy adults. For each channel set the AUC, that represents the total complexity, the MaxSlope and AvgEnt referring to the entropy at the fine- and coarse-grained scales, respectively, were extracted. The difference in the entropy between the #9 and #4 timescale (DiffEnt) was also calculated.
Results
We found the highest AUC for the channel sets corresponding to the somatomotor (SMN), dorsolateral network (DAN) and default mode (DMN) whereas the visual network (VN), limbic (LN), and frontoparietal (FPN) network showed the lowest AUC. The largest MaxSlope were in the SMN, DMN, ventral attention network (VAN), LN and FPN, and the smallest in the VN. The SMN and DAN were characterized by the highest and the LN, FPN, and VN by the lowest AvgEnt. The most stable entropy were for the DAN and VN while the LN showed the greatest drop of entropy at the coarse scales. Women, compared to men, showed higher MaxSlope and DiffEnt but lower AvgEnt in all channel sets and there were no s/g differences in the AUC.
Conclusions
Novel results of the present study are: 1) an identification of the mMSE features that capture entropy at the fine and the coarse timescales in the channel sets corresponding to the main resting-state networks; 2) an indication of the sex/gender differences in these features.