bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rumen Microbiota Alterations During Ketosis is Associated with the Development of Mastitis in Dairy Cows
Authors: Xiang Kaihe , Hu Xiaoyu , Mu Ruiying , Li Shuang , Wang Ying , Zhao Caijun , Zhang Naisheng , Fu Yunhe 
Published: December 2021

Abstract
Backgroud: Mastitis is the most serious disease endangering animal husbandry, especially dairy farming. Clinical investigations indicated that cows suffering from ketosis have a higher probability of mastitis. Rumen microbiota is closely related to ruminant health. However, it is not clear what role it plays in this process.Results: The microbiota in rumen fluid and milk from ketosis cows were determined by 16S rRNA gene sequencing. The results showed that the richness of bacterial community both in rumen and milk were changed in ketosis cows. The abundance of genus Prevotella, Ruminococcus, Succinivibrionaceae_UCG-001 and Streptococcus in rumen fluid from ketosis cows decreased significantly and were negatively correlated with blood BHBA and milk SCC. In contrast, the abundance of genus Luteimonas, Thermomonas, Christensenellaceae_R-7_group, Rikenellaceae_RC9_gut_group, NK4A214_group, Paracoccus, Acetitomaculum, Prevotellaceae_UCG-003, Deinococcus, Saccharofermentans and Butyrivibrio in rumen fluid from ketosis cows increased significantly and were positively correlated with blood BHBA and milk SCC. In addition, the abundance of F082 and Thermomonas were increased, while the abundance of genus Acinetobacter and UCG-005 were reduced both in milk and rumen fluid in ketosis cows than healthy cows. Conclusions: Ketosis in dairy cows is capable of inducing mastitis. The rumen microbiota of ketotic cows changed significantly and is associated with the development of mastitis. Targeting rumen microbiota regulation may be a promising strategy to prevent metabolism disorder and its secondary diseases in dairy cows.
Health Care Technologies and Nursing Care
Authors: ÇİFTÇİOĞLU Gülcan 
Published: December 2021

Abstract
Background: The Evaluation of Health Technologies is a multidisciplinary activity that systematically, transparent, impartial, effectively summarizing the safety, clinical efficacy and effectiveness, cost, cost-effectiveness, organizational mplications, social consequences, legal, ethical and organizational considerations of the application of a health technology The Evaluation of Health Technologies has significantly improved the decision-making process. To evaluate the reliability of technological measuring devices used in patient care. Methods: This study is a descriptive and observational study. The research was conducted between December 2019-April 2020 in Mardin Province hospitals. The population of the study consisted of 245 patients who were hospitalized in the clinics of these hospitals, over the age of 18 and 65 years agreed to participate in the study. The data were collected through a questionnaire. Descriptive statistics (number, percentage and average) were used to evaluate the data. In order to conduct the study, written permission was obtained from the relevant institutions, ethics committee permission from the university and written consent from the individuals participating in the study. Results: The average age of the patients participating in the study was 42 years, and 35.1% were male, 64.9% were female, 82.0% were married and 69.4% were literate or primary school graduates. It was determined that 45% of the patients had at least one chronic disease and 38% of them used medication continuously. While the mean hunger blood glucose levels of the patients participating in the study were 128 mg / dl in measurements with the glucometer device, blood glucose laboratory levels obtained from the vein were found to be 122 mg / dl. Pulses of the patients were found to be 85 / min on average with a pulse oximeter device, and 87 / min on average in measurement by palpation from the artery method. While the temperature measurement average values of the patients were found to be 36.6 ° C with the forehead non-contact measurement device, the average temperature was found to be 35.7 ° C with the armpit digital measurement device. Conclusion: The use of technology in nursing care applications is an indispensable element. However, for the safe use of technological devices in nursing care, it is extremely important to measure the measurement devices used correctly. Significant differences were detected in the blood glucose levels measured with the glucometer device. We can say that there is a difference in thermometers, but pulse oximetry devices measure safely. More comprehensive research is recommended on this subject.
Gender Differences In Pleasure: The Mediating Roles of Cognitive Flexibility And Emotional Expressivity
Authors: Wang Chunyu , Zhang Zhihao , Wiley James A. , Fu Tingting , Yan Jin 
Published: December 2021

Abstract
Background: Gender differences have been found to be associated with individuals’ pleasure. Cognitive flexibility and emotional expressivity might play an important role between gender differences and pleasure. This current study is to explore the mediating role of cognitive flexibility and emotional expressivity in the relationship between gender differences and pleasure.Method: In this cross-sectional study, a sample of 1107 full-time university students from five colleges in Tianjin, Chinese mainland was investigated by questionnaire. All participants completed the Temporal Experience of Pleasure Scale (TEPs), the Cognitive Flexibility Inventory (CFI), and the Berkeley Expressivity Questionnaire (BEQ). Results: The results of independent T-test suggested that females reported better emotional expressivity, anticipatory pleasure and consummatory pleasure than males, whereas males had better cognitive flexibility than females. Regression analyses using bootstrapping procedures revealed that the partially mediation effects of both cognitive flexibility and emotional expressivity on the influence of gender differences in anticipatory and consummatory pleasure. Results of this present study stated that cognitive flexibility and emotional expressivity play a partial mediating role in explaining gender differences in anticipatory and consummatory pleasure. Conclusion: Females had higher anticipatory and consummatory pleasure because they benefited from their better use of emotional regulation strategy to express their emotion.
Chemical Pond Water Contamination–icpms Investigations in the Various Areas of Eluru City, Andhra Pradesh, India-a Case Study.
Authors: REDDY BOGGU JAGAN MOHAN , Rao Ganteda Rama , Ranjitha K. V. B. , S G. Satya , Katari Naresh Kumar 
Published: December 2021

Abstract
The several stagnant water resources contamination in urban areas mainly caused by anthropogenic activities and as well as pathogenic organisms. The objective of the present study is to determine the chemical contamination in pond water regardingsudden appearance of health problems among the people of certain areas in Eluru, West Godavari District, Andhra Pradesh, India. The results of ICP-MS investigations showed elemental impurities in water samples and physio-chemical parameters of pond water such as pH, TDS, EC, CC , Total Hardness etc., are studied in detailed.
Genes in the Azoospermia Factor A Region of the Y Chromosome Show Sexual Dimorphism in Rat Brain Prior to Gonadal Sex Differentiation
Authors: Pradhan Ajay , Pramanik Subrata , Olsson Per-Erik 
Published: December 2021

Abstract
BackgroundThe classical concept of brain sex differentiation suggests that steroid hormones released from the gonads program male and female brains differently. However, several studies indicate that steroid hormones are not the only determinant of brain sex differentiation and that genetic differences could also be involved.MethodsIn this study, we have performed RNA sequencing of rat brains at embryonic days 12 (E12), E13, and E14. The aim was to identify differentially expressed genes between male and female rat brains during early development. ResultsAnalysis of genes expressed with the highest sex differences showed that Xist was highly expressed in females having XX genotype with an increasing ratio over time. Analysis of genes expressed with the highest male expression identified three main genes. At E12, two genes located in the azoospermia factor A (AZFa) region on the Y chromosome were highly expressed in males. These were Ddx3y (1552-fold higher in males) and Kdm6c (147-fold higher in males). The expression of Kdm6c, but not Ddx3y, remained high at both E13 and E14. In qRT-PCR analysis, these two genes were highly expressed in all the stages in male brain. In addition to these genes, one of the several copies of Sry in the rat genome, Sry4, showed a high expression in the male brains at all three time points. At all three time points several other genes were also found to show sex bias, but with lower differences in gene expression. ConclusionThe observed sex-specific expression of genes at early development suggests that the rat brain is sexually dimorphic prior to gonadal action on the brain and identifies the AZFa region genes as a possible contributor to male brain development.
Serum O-Glycosylated Hepatitis B Surface Antigen Levels in Patients with Chronic Hepatitis B During Nucleos(t)ide Analog Therapy
Authors: Murata Ayato , Angata Kiyohiko , Sogabe Maki , Sato Shunsuke , Ichida Takafumi , Narimatsu Hisashi , Genda Takuya 
Published: December 2021

Abstract
Serum hepatitis B surface antigen (HBsAg) is a component of hepatitis B virus (HBV) virions and non-infectious subviral particles (SVPs). O-glycosylation of the PreS2 domain of middle HBsAg protein is a distinct characteristic of genotype C HBV virions versus SVPs. We measured serum O-glycosylated HBsAg levels in 47 treatment-naïve patients with genotype C chronic hepatitis B (CHB) at baseline and after 48 weeks of nucleos(t)ide analog (NA) therapy by immunoassay using a monoclonal antibody against the O-glycosylated PreS2 domain of middle HBsAg, and analyzed their correlations with conventional HBV marker levels. At baseline, serum O-glycosylated HBsAg levels were significantly correlated with HBV DNA, HBsAg, and hepatitis B-core related antigen (HBcrAg) levels. HBV DNA and O-glycosylated HBsAg levels were decreased after 48 weeks of NA therapy. The correlation between O-glycosylated HBsAg and HBsAg or HBcrAg levels was lost in patients who achieved undetectable HBV DNA. HBV DNA and RNA were detected in the O-glycosylated HBsAg-binding serum fraction, and the proportion of HBV RNA increased during NA therapy. In conclusion, serum O-glycosylated HBsAg levels change during NA therapy and may reflect combined serum HBV DNA and RNA virion levels, and an O-glycosylated HBsAg-based immunoassay may allow monitoring viral kinetics during NA therapy.
Development and Validation of a Robust Apoptosis-related Prognostic Classifier in Patients With Osteosarcoma
Authors: Zhang Zhifeng , Wang Yi , Chen Fengmei , Zhang Yinquan , Guan Zhengmao 
Published: December 2021

Abstract
Background: Apoptosis plays an important role in the tumorigenesis and the development of osteosarcoma, but the reliable biomarkers for individual treatment and prognosis of osteosarcoma based on apoptosis is lacking.Methods: A total of 1476 apoptosis-related genes were extracted from pathways and biological processes associated with apoptosis downloaded from MSigDB. All of those genes were used to identified the prognosis-related genes by univariate cox regression in the TARGET dataset and the ARS was constructed using the LASSO regression. The performance of the classifier was verified in the training and validation groups. The infiltration of immune cells and the expression levels of the immune checkpoint in different groups were also analyzed. Finally, a nomogram based on ARS and other Clinicopathological factors was constructed to facilitate clinical application.Results: ARS containing 22 apoptosis-related genes were identified, and its predictive ability performed well in both the training and validation groups. Macrophages M1 were highly expressed in the low-score group, and NK cells resting was highly expressed in the high-score group. The samples with low-score had higher expression of CTLA4 and PDL1. A nomogram with excellent predictive effectiveness (AUC= 0.932, 0.984, 0.939, 0.939, 0.948) was constructed to facilitate clinical decision-making.Conclusion: A prognostic classifier based on 22 apoptosis-related genes and a nomogram were constructed to predict the overall survival of patients with osteosarcoma. The classifier also provides a reference for selecting suitable patients for immunotherapy and targeted therapy.
Deposition Geometrical Characteristics of Wire Arc Additive Manufactured AA2219 Aluminium Alloy With Cold Metal Transfer Pulse Advance Arc Mode
Authors: Zhang Yazhou , Gao Ming , Lu Yang , Du Wenbo 
Published: December 2021

Abstract
A cold metal transfer pulse advance (CMT-PA) arc mode was employed in this paper for the additive manufacturing of Al alloy. The effects of process parameters on the surface morphology and effective width percentage were investigated. And a deposition width model was built by the multiple linear regressions. Based on the principle that the volume of sample is equal to that of filler wire, a deposition height model was simultaneously derived. The results show that the process parameters affect the trends of droplet spreading in horizontal direction and molten pool tangential direction by changing the heat input and arc force. The disparity between two trends directly determines the final deposition geometrical characteristics. The influences of three factors on the effective width percentage show a trend of first increasing and then decreasing. So it provides a process window of good deposition forming. Using the optimal parameter in the window, the effective width percentage reaches to 83% and machining allowance is only 0.8 mm, which significantly improves materials utilization and reduces manufacturing costs. Besides, the error rates of deposition width and height models are less than 4% and 6%, respectively. Two models can facilitate manufacturing different size parts and make a profit for the actual production.
Structure-antioxidant Activity Relationships of Dendrocandin Analogues Determined Using Density Functional Theory
Authors: Zhang Ning , Wu Yilong , Qiao Miao , Yuan Wenjuan , Li Xingyu , Wang Xuanjun , Sheng Jun , Zi Cheng-Ting 
Published: December 2021

Abstract
Quantum-chemical calculations based on the density functional theory (DFT) at the B3LYP/6–311++G(2d,2p)//B3LYP/6–31G(d,p) level were employed to study the relationship between the antioxidant properties and chemical structures of six dendrocandin (DDCD) analogues in the gas phase and two solvents (methanol and water). The hydrogen atom transfer (HAT), electron-transfer-proton-transfer (ET-PT), and sequential proton-loss-electron-transfer (SPLET) mechanisms are explored. The highest occupied molecular orbital (HOMO), lowest unoccupied molecular orbital (LUMO), reactivity indices (η, μ, ω, ω+, and ω–), and molecular electrostatic potentials (MEPs) were also evaluated. The results suggest that the D ring plays an important role in mediating the antioxidant activity of DDCDs. For all the studied compounds, indicating that HAT was identified as the most favorable mechanism, whereas the SPLET mechanism was the most thermodynamically favorable pathway in polar solvents. The results of our study should aid in the development of new or modified antioxidant compounds.
Comparison of Different Hardware Configurations for 2D SLAM Techniques Based on Google Cartographer Use Case
Authors: Sobczak Łukasz , Filus Katarzyna , Domańska Joanna , Domański Adam 
Published: December 2021

Abstract
One of the most challenging topics in Robotics is Simultaneous Localization and Mapping (SLAM) in the indoor environments. Due to the fact that Global Navigation Satellite Systems cannot be successfully used in such environments, different data sources are used for this purpose, among others LiDARs (Light Detection and Ranging), which have advanced from numerous other technologies. Other embedded sensors can be used along with LiDARs to improve SLAM accuracy, e.g. the ones available in the Inertial Measurement Units and wheel odometry sensors. Evaluation of different SLAM algorithms and possible hardware configurations in real environments is time consuming and expensive. For that reason, in this paper we evaluate the performance of different hardware configuration used with Google Cartographer SLAM algorithms in simulation framework proposed in 1. Our use case is an actual robot used for room decontamination. The results show that for our robot the best hardware configuration consists of three LiDARs 2D, IMU and wheel odometry sensors. The proposed simulation-based methodology is a cost-effective alternative to real-world evaluation. It allows easy automation and provides access to precise ground truth. It is especially beneficial in the early stages of product design and to reduce the number of necessary real-life tests and hardware configurations.
Open-Source, Low-Cost, In-Situ Turbidity Sensor for River Network Monitoring
Authors: Droujko Jessica , Molnar Peter 
Published: December 2021

Abstract
Fine sediment transport in rivers is important for catchment nutrient fluxes, global biogeochemical cycles, water quality and pollution in riverine, coastal and marine ecosystems. Monitoring of suspended sediment in rivers with current sensors is challenging and expensive and most monitoring setups are restricted to few single site measurements. To better understand the spatial heterogeneity of fine sediment sources and transport in river networks there is a need for new smart water turbidity sensing that is multi-site, accurate and affordable. In this work, we have created such a sensor, which detects scattered light from an LED source using two detectors in a control volume, and can be placed in a river. We compare several replicates of our sensor to different commercial turbidity probes in a mixing tank experiment using two sediment types over a wide range of typical concentrations observed in rivers. Our results show that we can achieve precise and reproducible turbidity measurements in the 0-4000 NTU or 0-16g/L range. Our sensor can also be used directly as a suspended sediment sensor and bypass an unnecessary calibration to Formazin. The developed turbidity sensor is much cheaper than existing options of comparable quality and is especially intended for distributed sensing across river networks.
Influences of Dielectric Constant and Scan Rate to Hysteresis Effect in Perovskite Solar Cell: Simulation and Experimental Analyses
Authors: Huang Jun-Yu , Yang You-Wei , Hsu Wei-Hsuan , Chang En-Wen , Chen Mei-Hsin , Wu Yuh-Renn 
Published: December 2021

Abstract
In this work, perovskite solar cells (PSCs) with different transport layers were fabricated to understand the hysteresis phenomenon under a series of scan rates. The experimental results show that the hysteresis phenomenon would be affected by the dielectric constant of transport layers and scan rate significantly. To explain this, a modified Poisson and drift-diffusion solver coupled with a fully time-dependent ion migration model is developed to analyze how the ion migration affects the performance and hysteresis of PSCs. The modeling results show that the most crucial factor in the hysteresis behavior is the built-in electric field of the perovskite. The non-linear hysteresis curves are demonstrated under different scan rates, and the mechanism of the hysteresis behavior is explained. Additionally, other factors contributing to the degree of hysteresis are determined to be the degree of degradation in the perovskite material, the quality of the perovskite crystal, and the materials of the transport layer, which corresponds to the total ion density, carrier lifetime of perovskite, and the dielectric constant of the transport layer, respectively. Finally, it was found that the dielectric constant of the transport layer is a key factor affecting hysteresis in perovskite solar cells.
Osteogenic Effects of Triterpene Saponin Soyasapogenol B on Differentiation, Mineralization, Autophagy, and Necroptosis
Authors: Park Kyung-Ran , Lee Joon Yeop , Kim Soo Hyun , Kwon Il Keun , Yun Hyung-Mun 
Published: December 2021

Abstract
Background: Triterpenoid saponins are a diverse group of natural compounds in plants. A triterpene saponin, Soyasapogenol B (SoyB), from Arachis hypogaea (peanut) has various pharmacological properties. This study aimed to elucidate pharmacological properties and mechanisms of SoyB on bone-forming cells. Methods: Cell viability adhesion, and migration were analyzed using MTT assay, cell adhesion assay, and Boyden chamber assay. Osteogenic activity and osteogenicity were analyzed using alkaline phosphatase (ALP) staining and activity, and Alizarin Red S (ARS) staining. Cell signaling, protein expression, and autophagy were analyzed using Western blot analysis, immunofluorescence assay, and DAPGreen autophagy detection assay. Results and Conclusion: In the present study, SoyB (> 99.99% purity), triterpene saponin, was isolated from the fruit of A. hypogaea. At concentrations ranging from 1 to 20 mM, SoyB showed no cell proliferation effects, whereas 30 - 100 mM SoyB increased cell proliferation in MC3T3-E1 cells. Next, osteoblast differentiation was analyzed and found that SoyB enhanced ALP staining and activity and bone mineralization as evidence for early and late osteoblast differentiation. SoyB also induced RUNX2 expression in nucleus with the increased phosphorylation of Smad1/5/8 and JNK2 during osteoblast differentiation. In addition, SoyB-mediated osteoblast differentiation was not associated with autophagy and necroptosis. Furthermore, SoyB increased cell migration and adhesion with the upregulation of MMP13 levels during osteoblast differentiation. The findings of this study provide new evidence that SoyB possesses biological effects on osteogenic activity and osteogenicity in bone-forming cells, and suggest a potentially beneficial role for peanuts foods and drugs containing SoyB in the treatment and prevention of bone diseases.
Location of Semi-Rigid Connection Effect On The Seismic Performance of Steel Frame Structures
Authors: Elhout Emad A. 
Published: December 2021

Abstract
In design steel frames, combining semi-rigid and rigid connections can result in better structural performance, particularly in seismic locations. In this study, the effects of semi-rigid beam-to-column connections located on the seismic performance of steel frame structures are investigated. The analysis uses six and twelve-story moment resisting steel frames (MRSF) with rigid, semi-rigid, and dual beam-column connections. These frames are designed according to the Egyptian design codes. Drain-2Dx computer program and seven earthquake ground motions are used in the non-linear dynamic analysis. The rotational stiffness of beam-to-column connections is indicated through the end fixity factors with a value equal to 0.6. The performances of these frames are evaluated through the roof drift ratio (RDR), the maximum story drift ratios (SDR), and the maximum column axial compression force (MACF). The results indicated that the quantities of fundamental periods, roof drift ratio, the story drift ratio, and the column axial compression force are related to stiffness, rigidity, and the number of semi-rigid connections in steel frames.