bluuebunny/crossref_metadata_2025_split huggingface dataset:
Importance of lymph node ratio in HPV-related oropharyngeal cancer patients treated with surgery and adjuvant treatment
Authors: Choi Kyu Hye , Song Jin Ho , Hong Ji Hyun , Lee Youn Soo , Kang Jin Hyoung , Sun Dong-Il , Kim Min-Sik , Kim Yeon-Sil 
Published: August 2022

Objectives
The pathologic nodal stage of human papillomavirus (HPV)-related oropharyngeal cancer (OPC) patients is classified according to the number of lymph nodes (LNs), as revised in 2018. Previous studies showed that the LN ratio (LNR) could be also a significant prognostic factor in head and neck cancer, but there are few studies on the LNR in HPV-related [HPV(+)] OPC. The aim of the present study was to analyze the predictive value of the LNR for survival and recurrence in HPV(+) OPC patients.

Materials and methods
HPV(+) OPC patients treated with surgery with or without postoperative radiotherapy from January 2000 to March 2019 were evaluated. The patients were divided into two sets of three groups, according to LN numbers based on pathologic nodal stages, and LNRs by a cutoff value of 0.05. The medical records were reviewed, and the overall survival (OS), disease-free survival, locoregional recurrence, and distant metastasis incidence were analyzed.

Results
Ninty patients were included and the median follow-up period was 38.2 months. There were no significant differences in OS in the LN number groups. However, there was a significant difference in OS in the LNR groups (P = 0.010). The incidence of distant metastasis in the LNR groups was significantly different (P = 0.005).

Conclusion
The LNR in HPV(+) OPC patients may be a more useful tool to predict survival and distant metastasis than the LN number. Additional research and consensus on surgical pathology are needed before applying the LNR to adjuvant treatment decisions and pathologic nodal staging.
A novel point-of-care device accurately measures thyrotropin in whole blood, capillary blood and serum
Authors: Kahaly George J. , Lotz Johannes , Walder Sara , Hammad Cara , Krämer Rebecca , Frommer Lara , König Jochem , Wolf Jan , Gottwald-Hostalek Ulrike , Urgatz Bogumila , Lackner Karl J. 
Published: August 2022

Abstract

Objectives
Point-of-care (POC) measurement of thyrotropin (TSH) may facilitate prompt diagnosis of thyroid dysfunction. We evaluated the analytical performance of a new POC TSH assay (Wondfo).

Methods
TSH measurements were made from 730 consecutive, unselected subjects in an outpatient setting, using Wondfo in whole blood, capillary blood and serum or automated reference equipment (serum only).

Results
TSH measurements were user-independent. Total intra-and inter-assay variation (CV%) was 12.1 and 16.2%, respectively. Total CV% was 10.6–22.6% and 14.5–21.6% in serum and whole blood, respectively. Linearity was very good. Recovery rate was 97–127%. Prolongation of incubation time increased TSH results of 12% (13%) and 33% (35%) after 2 and 5 additional minutes in serum (blood), respectively. When measured simultaneously in two Wondfo devices, the slope of the regression line was 1.03 (serum) and 1.02 (blood), with Spearman’s correlation of 0.99 for both. TSH measurements between Wondfo and reference correlated strongly (r=0.93–0.96), though TSH measurements were lower with Wondfo (slopes of plots of measurements made using the two devices were 0.94 [serum vs. serum]; 0.83 [whole blood vs. serum] and 0.64 [capillary blood vs. serum]). Depending on sample material, TSH in capillary blood was lower vs. whole blood (slope: 0.82) and for whole blood vs. serum (Wondfo and reference method; slope: 0.69 and 0.83). Total haemolysis, but not elevated bilirubin or lipemia, disrupted TSH measurement.

Conclusions
The Wondfo system was straightforward to use without need for specialist technicians and demonstrated analytic performance suitable for clinical use for the diagnosis of thyroid dysfunction.
Corrosion polarization and passivation behavior of selected stainless steel alloys and Ti6Al4V titanium in elevated temperature acid-chloride electrolytes
Authors: Loto Roland Tolulope 
Published: August 2022

AbstractThe corrosion polarization behavior of 439ll ferritic (439ll), 316L austenitic (316L), and NO7208 nickel-chromium-aluminum-iron (NO7208) stainless steels, and Ti6Al4V titanium (Ti6Al4V) alloys was studied in 4 M H2SO4+ 5% NaCl solution at 35 and 70°C. Corrosion rate (CR) of the alloys were generally higher at 70°C. NO7208 and 439ll alloy exhibited higher resistance to general corrosion at 35°C (0.067 and 0.050 mm/year) while Ti6Al4V was the most reactive (0.506 mm/year). Passivation behavior was evident on the plots of NO7208 and Ti6Al4V alloys. NO7208 pitted at 1.04 V with passivation range of 0.17 V. Metastable pitting occurred at 0.02 V and ceased at 0.19 V. Pitting was absent from the polarization plot of Ti6Al4V though it exhibited metastable pitting at −0.39 V and passivated at −0.21 V. At 70°C, NO7208 alloy exhibited the lowestCR(0.392 mm/year), while Ti6Al4V was the most reactive at 21.868 mm/year.CRof the alloys increased by 97.63%, 91.18%, 82.83%, and 97.69% at 70°C. Corrosion potential of the alloys shifted cathodically at 35 and 70°C signifying dominant cathodic processes. Ti6Al4V exhibited passivation behavior at 70°C with no pitting evidence. Open circuit potential measurement showed that Ti6Al4V was the most electronegative and NO7208 alloy was the most electropositive due to the significant growth of its protective oxide. Grain boundary corrosion was visible on 439ll and 316L at 35°C and total surface deterioration at 70°C. Pseudo corrosion pits were visible on NO7208 and Ti6Al4V alloy at 35°C. At 70°C, total surface degradation was visible on Ti6Al4V and grain boundary corrosion on NO7208.
Effect of atmosphere on oxidation behavior of novel high Mn steel bearing Cr during heat treatment
Authors: Wang Yong , Liu Yu , Li Guangqiang , Zhu Chengyi , Cao Yuxin 
Published: August 2022

Abstract
The oxidation behavior of novel high Mn steel bearing Cr under atmospheres with varying air content was explored by means of thermogravimetric analysis. The results show that the curve of oxidation weight gain with time obeys the parabolic rate law in the temperature range of 900–1200 °C under 25–100 vol.% Air–Ar atmosphere. The atmosphere plays an important role in oxide scale structure and oxidation weight gain, especially at 900 °C and 1000 °C. Under pure air, the oxidation weight gain at 900 °C is more than that at 1000 °C after 25 min holding. This is because the inner oxide scale mainly consisting of Cr oxide at 1000 °C is thicker than that at 900 °C, which hinders the mass transfer. As air content decreases to 50 %, a similar phenomenon occurs after 65 min holding. However, under 25 % Air–75 % Ar atmosphere, the oxidation weight gain at 900 °C is always less than that at 1000 °C during 90 min holding due to the decrease of air content. An Mn-depleted zone resulting from selective oxidation of Mn is formed in the steel matrix epidermis, leading to the subsurface phase transformation (γ-Fe→α-Fe). The atmosphere with lower oxygen content contributes to alleviating surface oxidation during heat treatment.
An analysis of nursing and medical students’ attitudes towards and knowledge of Alzheimer’s Disease (AD)
Authors: Abdalrahim Asem , ALBashtawy Mohammed , Alkhawaldeh Abdullah , Al-amer Rasmieh M. , Bani Salameh Ahmad , ALBashtawy Sa’d , Abu Khait Abdallah , ALBashtawy Zaid 
Published: August 2022

Abstract

Objectives
Little is known about how Jordanian undergraduate medical and nursing students perceive Alzheimer’s disease (AD) care. This study aimed to investigate nursing and medical students’ AD knowledge, attitudes, and associated factors with their knowledge to inform reforms to multidisciplinary AD education undergraduate programs in Jordan.

Methods
Cross-sectional research was carried out using a self-administered questionnaire. Students’ knowledge was measured using the Alzheimer’s Disease Knowledge Scale (ADKS) and attitudes were measured using the Dementia Care Attitude Scale (DCAS). The survey was completed by 423 nursing and medical students.

Results
The overall mean score on the ADKS for students’ AD knowledge was 17.50 (SD=3.08) out of 30 and the DCAS for students’ attitudes toward AD was 26.76 (SD=6.19) out of 40.

Conclusions
Medical students had a higher level of AD knowledge and a lower level of positive attitude than nursing students (p<0.05).
Synergistic material extrusion 3D-printing using core–shell filaments containing polycarbonate-based material with different glass transition temperatures and viscosities
Authors: Peng Fang , Vogt Bryan D. , Cakmak Miko 
Published: August 2022

Abstract
The application of 3D printing of thermoplastics by Material Extrusion (MatEx) has commonly been limited by their poor mechanical strength that results from voids and weak interfaces between printed layers. Here, we demonstrate that core–shell structured filaments made of polycarbonate-based thermoplastics can achieve synergistic improvement in their interfacial bonding from the combination of high-glass transition temperature (T
g)/high-viscosity core and low-T
g/low-viscosity shell. Tensile strength along the printing direction was enhanced with the core–shell filaments. Layer-interfacial bonding strength as determined by Izod impact tests of the 3D printed parts is significantly improved by using filaments either with only a core–shell T
g mismatch or both T
g/viscosity core–shell mismatch. The mechanical behavior can be rationalized in terms of improved inter-layer molecule diffusion by a low T
g/viscosity shell, better printability at higher temperature due to the core with higher melt strength, and better bulk mechanical strength of high-viscosity/T
g core.
Crystal structure of bis((N-methyl-2-oxyethyl)amine)-bis(μ
2-N,N,N-tris(2-oxoethyl)amine)-bis(isopropoxy)-bis(μ
3-oxo)tetratitanium(IV)– isopropanol (1/2), C34H76N4O16Ti4
Authors: Youzhu Yu , Hui Wang , Leilei Li , Yuhua Guo , Qianqian Fu , Jingtao Dai 
Published: August 2022

Abstract
C34H76N4O16Ti4, monoclinic, P21/n (no. 14), a = 10.0452(6) Å, b = 16.9053(8) Å, c = 14.6374(8) Å, β = 108.029(6)°, V = 2363.6(2) Å3, Z = 2, R

gt
(F) = 0.0678, wR

ref
(F
2) = 0.2126, T = 293(2) K.
Dispersion of copper phthalocyanine pigment nanoparticles by eco-friendly ethoxylated cardanol in aqueous solution
Authors: Yang Jiang , Gao Xiaoyan , Liu Hailing 
Published: August 2022

Abstract
The environmentally friendly surfactant ethoxylated cardanol (EC) was investigated for dispersing copper phthalocyanine (CuPc) pigment nanoparticles into aqueous solution. The stability of the dispersion was investigated using UV-Vis spectra. The particle size was measured by optical microscopy, transmission electron microscopy and dynamic light scattering. The surface of the nanoparticles was characterised by measurements of the zeta potential and wettability. The coating application was investigated by incorporating CuPc blue pigment into resin and inorganic filler, and the colour strength of the coating film was compared. The results show that the EC can effectively wet and disperse the CuPc particles. The stabilisation of the particles is achieved by a steric mechanism in which the hydrophobic chains of the surfactant are adsorbed onto the surfaces of the CuPc nanoparticles and the ethylene oxide chains are dispersed in the aqueous phase. At EC concentrations greater than 0.1%, the CuPc nanoparticles appear to deagglomerate. The colour strength of CuPc nanoparticles present as dispersed pigment in resin can be increased in the presence of the EC surfactant.
A MVMD–MMFE algorithm and its application in the flow patterns identification of horizontal oil–water two-phase flow
Authors: Qin Jiangfan , Fan Chunling , Zhang Chuntang , Zheng Caixia 
Published: August 2022

AbstractAiming to extract the main information features of fluid multivariate conductance signals and identify the flow patterns under different flow velocities, we present a multichannel time series analysis algorithm based on the multivariate variational mode decomposition (MVMD) and multivariate multiscale fuzzy entropy (MMFE). Firstly, by simulating a multichannel complex signal and performing a series of sensitivity experiments within various noise intensities, we prove the feasibility of the MVMD in chaotic time series. Then, we employ the MVMD to decompose multivariate conductance signals into the intrinsic mode function (IMF) and calculate the MMFE of the IMFs for different flow patterns. Meanwhile, the multivariate empirical mode decomposition (MEMD) is also applied on the comparison of signal decomposition. Finally, we discuss the classification consequence under different mode valueskto realize the optimal decomposition. The experimental results show that the MVMD–MMFE algorithm can extract the main information of fluid multichannel signals and distinguish three horizontal oil–water flow patterns effectively, which provides an idea for studying the nonlinear characteristics of the chaotic system.
bESC from cloned embryos do not retain transcriptomic or epigenetic memory from somatic donor cells
Authors: Navarro M , Halstead M M , Rincon Gonzalo , Mutto A A , Ross P J 
Published: August 2022

In brief
Epigenetic reprogramming after mammalian somatic cell nuclear transfer is often incomplete, resulting in low efficiency of cloning. However, gene expression and histone modification analysis indicated high similarities in transcriptome and epigenomes of bovine embryonic stem cells from in vitro fertilized and somatic cell nuclear transfer embryos.

Abstract
Embryonic stem cells (ESC) indefinitely maintain the pluripotent state of the blastocyst epiblast. Stem cells are invaluable for studying development and lineage commitment, and in livestock, they constitute a useful tool for genomic improvement and in vitro breeding programs. Although these cells have been recently derived from bovine blastocysts, a detailed characterization of their molecular state is lacking. Here, we apply cutting-edge technologies to analyze the transcriptomic and epigenomic landscape of bovine ESC (bESC) obtained from in vitro fertilized (IVF) and somatic cell nuclear transfer (SCNT) embryos. bESC were efficiently derived from SCNT and IVF embryos and expressed pluripotency markers while retaining genome stability. Transcriptome analysis revealed that only 46 genes were differentially expressed between IVF- and SCNT-derived bESC, which did not reflect significant deviation in cellular function. Interrogating histone 3 lysine 4 trimethylation, histone 3 lysine 9 trimethylation, and histone 3 lysine 27 trimethylation with cleavage under targets and tagmentation, we found that the epigenomes of both bESC groups were virtually indistinguishable. Minor epigenetic differences were randomly distributed throughout the genome and were not associated with differentially expressed or developmentally important genes. Finally, the categorization of genomic regions according to their combined histone mark signal demonstrated that all bESC shared the same epigenomic signatures, especially at gene promoters. Overall, we conclude that bESC derived from SCNT and IVF embryos are transcriptomically and epigenetically analogous, allowing for the production of an unlimited source of pluripotent cells from high genetic merit organisms without resorting to transgene-based techniques.
Investigating the Physical Properties of Paper Produced by Blending of Water Hyacinth and Dried Flowers
Authors: Kalimuthu Santhiya , Venkatesh Nivetha Balaji , Selvakumar Vimaladevi 
Published: August 2022

Abstract

The production of paper is a key component for global civilization. Around 300 million tonnes of paper being produced every day globally, with matured pulp wood being the major contributor. Due to rising demand for paper and the depletion of available wood resources, Researchers are now focused on finding alternative non-wood resources that are suitable for pulp and paper production. The current study aims to produce eco-friendly and biodegradable paper using a combination ofEichhornia crassipes(water hyacinth) and dried flowers. Water hyacinth is considered as a lignocellulose plant which contains 57% ligno-cellulose and dried flower contains 40% cellulose, which is the prime source for paper production. Various sections of water hyacinth, including wet and dry petiole, leaves and root were blended with dried flowers through soda process. Then, the physical properties and FTIR analysis was carrier out to identify the quality of the paper produced. The paper produced from root and dried petiole has a lower thickness (1.0mm and 0.5mm) than other mix proportion. The opacity of the leaves was found to be (0.5% light passing) and the root (0.7% light passing). Also, the dry petiole paper and root has a good dry-tensile strength of 1.30Kpa and 1.20Kpa respectively. Hence, paper made from dry petiole and root was found to be efficient and suitable for paper industry.
Point and interval forecasting for carbon trading price: A case of 8 carbon trading markets in China
Authors: Zhao Yihang , zhao Huiru , li bingkng , Wu Boxiang , Guo Sen 
Published: August 2022

Abstract
Carbon trading price (CTP) prediction accuracy is critical for both market participants and policymakers. As things stand, most previous studies have only focused on one or a few carbon trading markets, implying that the models’ universality is insufficient to be validated. By employing a case study of all carbon trading markets in China, this study proposes a hybrid point and interval CTP forecasting model. First, the Pearson correlation method is used to identify the key influencing factors of CTP. The original CTP data is then decomposed into multiple series using complete ensemble empirical mode decomposition with adaptive noise. Following that, the sample entropy method is used to reconstruct the series to reduce computational time and avoid overdecomposition. Following that, a long short-term memory method optimized by the Adam algorithm is established to achieve the point forecasting of CTP. Finally, the kernel density estimation method is used to predict CTP intervals. On the one hand, the results demonstrate the proposed model’s validity and superiority. The interval prediction model, on the other hand, reflects the uncertainty of market participants’ behavior, which is more practical in the operation of carbon trading markets.
Motion networks predict head motion during rest- and task-fMRI
Authors: Tomasi Dardo , Volkow Nora 
Published: August 2022

Abstract

The capacity to stay still during scanning, which is necessary to avoid motion confounds while imaging, varies markedly between people. Here we investigated the neurobiological underpinnings of head motion using connectome-based predictive modeling and publicly available brain fMRI data from 424 individuals. Two motion networks, comprised of cerebellum and default-mode regions relevant to proprioception (prefrontal and temporal cortices) and interoception (insula), forecasted individual differences in absolute and relative head motion during six different tasks- and two rest-fMRI sessions. These findings, which generalized to a novel group of 1422 individuals, suggest that head motion reflects necessary functional connectivity for exerting inhibitory motor control during scanning. These motion networks could serve as head motion neuromarkers valuable for understanding developmental and disease conditions associated with impaired inhibitory motor control, including restlessness, hyperactivity and behavioral impulsivity.
Early prediction of paratuberculosis health status in cattle by integrating NMR analysis and blood indices through the LASSO method
Authors: Massaro Andrea , Tata Alessandra , Pallante Ivana , Bertazzo Valentina , Bottazzari Massimo , Paganini Laura , Dall’Ava Brunella , Stefani Annalisa , Buck Jeroen , Piro Roberto , Pozzato Nicola 
Published: August 2022

Abstract

INTRODUCTION:The early diagnosis ofMycobacterium aviumsubsp.paratuberculosis(MAP) is one of the current challenges of farmers and veterinarians.OBJECTIVES:This work aimed to investigated the changes in metabolic levels associated with natural MAP infection in infected and infectious dairy cattleMETHODS:The study included sera from 23 infectious/seropositive, 10 infected but non-infectious/seronegative, and 26 negative animals. The samples were selected from a collection of samples gathered during a prospective study. The samples were analyzed by quantitative nuclear magnetic resonance (NMR) spectroscopy and routine blood chemistry. The blood indices and the1H NMR data were concatenated by low-level data fusion, resulting in a unique global fingerprint. Afterwards, the merged dataset was statistically analyzed by the least absolute shrinkage and selection operator (LASSO), which is a shrinkage and selection method for supervised learning. Finally, pathways analysis was performed to get more insights on the possible dysregulated metabolic pathways.RESULTS:The LASSO model achieved, in cross-validation, an overall accuracy of 91.5% with high values of sensitivity and specificity in classifying correctly the negative, infected, and infectious animals. The pathway analysis revealed MAP-infected cattle have increased tyrosine metabolism and enhanced phenylalanine, tyrosine and tryptophan biosynthesis. The enhanced synthesis and degradation of ketone bodies was observed both in infected and infectious cattle.CONCLUSION:In conclusion, fusing data from multiple sources has proved to be useful in exploring the altered metabolic pathways in MAP infection and potentially predicting negative animals within paratuberculosis-infected herds.
Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.)
Authors: Ma Jingfu , Liu Yuan , Zhang Peipei , Chen Tao , Tian Tian , Wang Peng , Che Zhuo , Shahinnia Fahimeh , Yang Delong 
Published: August 2022

Abstract
Background
Kernel size-related traits, as critical determinants of wheat kernel weight and yield potential, are complex quantitative traits controlled by polygenes. Genome-wide identification of important and stable quantitative trait loci (QTL) and functional genes for these traits can advance molecular genetic improvement of wheat kernel yield.
Results
In this study, Thirty-two QTLs for kernel size-related traits, including kernel length (KL), kernel width (KW), kernel diameter ratio (KDR) and kernel thickness (KT), were discovered using a series of recombinant inbred lines (RILs) which explained 3.06–14.2% of the phenotypic variation. Of these, eleven QTLs were confirmed as stable QTLs in multiple environments. The 1103 original QTLs from 34 previous studies and the present study were employed for the MQTL analysis, in which 346 of the 1103 original QTLs were refined to 58 MQTLs. Compared to the original QTLs, the average confidence intervals of the target MQTLs decreased 3.26-fold, but the average genetic contribution rates to explain phenotypic variation increased 1.72-fold. Through comprehensive analysis of wheat publicly available transcriptome data, a total of 70 putative candidate genes for kernel size development were ultimately identified within the MQTL regions.
Conclusions
kernel size-related traits predominantly regulated by genetic factors and can be detected in different water conditions. Potential candidate genes expressed in spike and grain were identified through meta-QTL and in-silico expression analysis. The identification of stable QTLs and candidate genes for kernel size-related traits provides a novel insight to understand the genetic basis of kernel size-related traits in wheat.