bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Coupling of Carbon and Nitrogen in Response to Variable NH4+/ NO3- Ratios in Brassica Napus Plantlets in Vitro
Authors: Zhang Kaiyan , Wu Yanyou , Su Yue , Li Haitao 
Published: September 2021

Abstract
BackgroundPlantlets grown in vitro with a mixed nitrogen source utilize sucrose and CO2 as carbon sources for growth. However, it is very difficult to obtain the correct proportion of assimilated nitrate, ammonium, sucrose and CO2 for plantlets. Consequently, the NH4+/NO3- use efficiency for carbon fixation derived from the assimilation of sucrose/CO2 is still unclear for plantlets. ResultsThe bidirectional stable nitrogen isotope tracer technique was employed to quantify the proportions of nitrate and ammonium utilized at different NH4+/ NO3- ratios, and the proportions of sucrose and CO2 assimilation were quantified by the foliar δ13C values of plantlets. There was an obvious difference in the assimilation of nitrate and ammonium under different NH4+/NO3- ratios for Brassica napus (Bn) plantlets. Increasing the supply of nitrate contributed to enhancing the assimilation of nitrate and ammonium simultaneously. The nitrate utilization coefficients of the Bn plantlets had no distinct change with increasing nitrate concentration, while the ammonium utilization coefficients of the Bn plantlets increased obviously with increasing nitrate concentration. The proportion of sucrose/CO2 assimilation depended on the NH4+/NO3- ratios of the Bn plantlets. Both nitrate and ammonium assimilation were independent of sucrose/CO2 assimilation. Based on the proportion of CO2, sucrose, nitrate and ammonium utilization, the nitrate/ammonium use efficiency (as indicated by the C/N ratio) for carbon fixation derived from the assimilation of sucrose/CO2 can be quantified for Bn plantlets.ConclusionsQuantifying the utilization proportions of nitrate and ammonium can reveal the difference in nitrate and ammonium utilization among plantlets at different NH4+/NO3- ratios. Foliar δ13C value in combination of the foliar δ15N value of plantlets can be used to quantify the nitrate/ammonium use efficiency for the carbon fixation derived from the assimilation of sucrose/CO2, which contributes to knowing the coupling process of carbon and nitrogen in plantlets and provides an alternate way to optimize the supply of inorganic nitrogen in culture media.
Preparation and Characterization of Bioceramic Cordierite for Medical Applications
Authors: Basheet Mohammad Hasan , Farhan Fadhil Kareem , Abed Abdulrahman Najem 
Published: September 2021

Abstract
The study concentration on the fabricate of bioactive behavior of pure cordierite system and investigate the structure of phase transformation and physical characteristics. cordierite powders were synthesized by chemical coprecipitation, combined Cordierite gel with water-based sol–gel which begin fundamental from magnesium oxide MgO, Alumina Al2O3 and silicon oxide SiO2. Five specimens were prepared with different weight percentage of Mgo, Al2O3 and SiO2 powders. cylindrical shape samples were press by hydraulic press at 4 bar for 30 minutes. All specimens were sintered at 1250 0C.The microstructure examination of specimens was carried out using Field Emission Scanning Electron Microscope (FESEM), x-ray diffraction (XRD) and particle size analysis The analysis revealed cordierite phase formation at 1250 °C, and the intense peaks were identified for composites S4 and S5. The results also indicated the formation of spinel, cristobalite, corundum, protoestatite and cordierite for all the specimens.
Do ACE and ACE2 Polymorphisms Influence in the Pathogenesis of Diabetic Nephropathy?
Authors: Reis Angela Adamski da Silva , Silva Elisângela Gomes da , Santos Kamilla de Faria , Anjos Laura Raniere Borges dos , Santos Rodrigo da Silva , Freiria-Oliveira André Henrique 
Published: September 2021

Abstract
BackgroundIn this study, we reported the impact of polymorphisms in the ACE and ACE2 encoding genes on diabetic nephropathy (DN) susceptibility in Brazilian subjects from the Goiânia region of central Brazil. These genes have been increasingly highlighted, mainly due to their relationship with the severity of COVID-19. Methods and ResultsIn this study, 196 diabetic individuals (101 patients with DN and 95 without DN) were investigated. Genotyping of the ACE gene was performed by real-time PCR, and ACE2 gene analysis was conducted through PCR/RFLP. Our results indicate that the I/D genotype presented increased risk in the development of DN (OR=2.5; p=0.01). This finding shows the D allele influences the circulating levels of angiotensin II and, as a consequence, arterial pressure increases, the glomeruli will be affected, culminating in glomerular damage and, consequently, DN. By combining ACE and ACE2 genotypes, we observed an evident risk tendency (OR=2.51; p=0.07) associated with the combination of ACE (I/D or D/D) and wild type ACE2 (GG) polymorphisms, as well as for the combination of the same polymorphism and ACE2 heterozygous or mutant (GA or AA or A) (OR=2.61; p=0.08). ConclusionsOur findings suggest that ACE polymorphism could have an important role in the DN pathogenesis, as well as in the variations of the clinical parameters investigated in this research. However, ACE2 polymorphism was not correlated with DN. Thus, characterization of ACE and ACE2 polymorphisms in patients with Diabetes Mellitus need more studies for appropriate and effective clinical conducts based in genotype.
Age-Related Effects of Executive Function on Takeover Performance: A Simulator Study in Automated Driving
Authors: Peng Qijia , Wu Yanbin , Qie Nan , Iwaki Sunao 
Published: September 2021

Abstract
The development of highly automated vehicles (HAV) can meet elderly drivers’ mobility needs; however, worse driving performance after a takeover request (TOR) is frequently found, especially regarding non-driving related tasks (NDRTs). This study aims to detect the correlation between takeover performance and underlying cognitive factors comprising a set of higher order cognitive processes including executive functions. Thirty-five young and 35 elderly participants were tested by computerized cognitive tasks and simulated driving tasks to evaluate their executive functions and takeover performance. Performance of n-back tasks, Simon tasks, and task switching were used to generate updating, inhibition, and shifting components of executive functions by principal component analysis. The performance of lane changing after TOR was measured using the standard deviation of the steering wheel angle and minimum time-to-collision (TTC). Differences between age groups and NDRT engagement were assessed by two-way mixed analysis of variance.Older participants had significantly lower executive function ability and were less stable and more conservative when engaged in NDRT. Furthermore, a significant correlation between executive function and lateral driving stability was found. These findings highlight the interaction between age-related differences in executive functions and takeover performance; thus, provide implications for designing driver screening tests or human-machine interfaces.
Solving Capacitated Vehicle Routing Problem with Demands as Fuzzy Random Variable
Authors: Singh Vishnu Pratap , Sharma Kirti , Chakraborty Debjani 
Published: September 2021

Abstract
Capacitated vehicle routing problem ( CVRP ) is a classical combinatorial optimization problem in which a network of customers with specified demands is given. The objective is to find a set of routes which originates as well as terminates at the depot node. These routes are to be traversed in such a way that the demands of all the customers in the network are satisfied and the cost associated with traversal of these routes come out to be a minimum. In real-world situations, the demand of any commodity depends upon various uncontrollable factors, such as, season, delivery time, market conditions and many more. Due to these factors, the demand can always not be told in advance and a precise information about the demand is nearly impossible to achieve. Hence, the demands of the customers always experience impreciseness and randomness in real-life. The decisions made by the customers about the demands may also have some scope of hesitation as well. In order to handle such demands of customers in the network, fuzzy random variables and intuitionistic fuzzy random variables are used in this work. The work bridges the gap between the classical version of CVRP and the real-life situation and hence makes it easier for the logistic management companies to determine the routes that should be followed for minimum operational cost and maximum profit. Mathematical models corresponding to CVRP with fuzzy stochastic demands ( CVRPFSD ) and CVRP with Intuitionistic fuzzy stochastic demands ( CVRPIFSD ) have been presented. A two-stage model has been proposed to find out the solution for the same. To explain the working of the methodology defined in this work, two different example of a network with fuzzy and intuitionistic fuzzy demands have been worked out. The proposed solution approach is also tested on modified fuzzy versions of some benchmark instances.
Neobacillus Paridis sp. nov., an Endophyte of Paris Polyphylla Smith Var. Yunnanensis
Authors: Zhan Peng-Chao , Li Cong-Jian , Zhang Zhen , Mao Rui-Feng , Liu Jing-Ran , Jiang Xing-Wang , Zhi Xiao-Yang , Yang Ling-Ling 
Published: September 2021

Abstract
A novel endophytic strain, designated as YIM B02564T, was isolated from the root of Paris polyphylla Smith var. yunnanensis obtained from Yunnan Province, southwest China. By using a polyphasic approach, cells of the strain were characterized as facultative anaerobic, Gram-positive and rod-shaped. The growth conditions of the strain were found to occur at 20–55 ℃ (optimum, 30 ℃), pH 6.0–9.0 (optimum, pH 7.0). Strain YIM B02564T can tolerate 2% NaCl concentration. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strain YIM B02564T belonged to the genus Neobacillus and the 16S rRNA gene sequence similarity values of strain YIM B02564T to the type strains of members of this genus ranged from 95.6%–97.8%. The DNA G+C content of strain YIM B02564T calculated from the whole genome sequence was 41.6 mol%. Values of the ANI and the dDDH between strain YIM B02564T and its closely related Neobacillus species were below 77.87% and 21.50%. Strain YIM B02564T contained MK-7 as the major menaquinone, iso-C15:0 and anteiso-C15:0 as the major fatty acids. The major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, an unidentified aminophospholipid and four unidentified lipids. It contained meso-diaminopimelic acid in the cell-wall peptidoglycan. On the basis of polyphasic analysis, strain YIM B02564T could be differentiated genotypically and phenotypically from recognized species of the genus Neobacillus. The isolate therefore represents a novel species, for which the name Neobacillus paridis is proposed. The type strain is YIM B02564T (= JCM 34668T = CGMCC 1.18655T).
Seed Priming With an Animal-derived Protein Hydrolysate Improves Drought Tolerance of Tomato Seeds by Enhancing Reserve Mobilization, Osmotic Adjustment, and Antioxidant Mechanism
Authors: Wang Weixuan , Zhang Chenglong , Zheng Wenlong , Lv Haofeng , Zhou Weiwei , Liang Bin , Li Junliang 
Published: September 2021

Abstract
Purpose Protein hydrolysates obtained from agro-industrial byproducts have received much attentions due to their positive roles in regulating plant responses to environmental stresses. However, little is known about the roles of animal protein hydrolysates in mediating seed drought tolerance and the underlying mechanism. Here, the effects of seed priming with pig blood protein hydrolysates (PP) on tomato seed germination and seedling growth under drought stress were investigated. Methods Tomato seeds were soaked with different concentrations of PP solutions for 24 h, and then transferred to filter paper moistened with distilled water or 10% PEG-6000 solution in Petri dish. The germination traits, seeding growth, reserve mobilization, osmolytes, and antioxidant system were determined.Results PP priming effectively alleviated the reduction in seed germination traits, resulting in improved tomato seedling growth under drought stress. PP priming enhanced amylase and sucrose synthase activities, soluble sugar, soluble protein, and free amino acid levels, thereby promoting reserve mobilization in seeds. Moreover, PP priming also reduces osmotic toxicity by increasing the accumulation of proline, soluble protein, and soluble sugar. Drought stress substantially enhanced the production of ROS and subsequent increases in MDA and Evans blue uptake, which were significantly alleviated after PP priming by improving the activities of SOD, POD, and CAT, and non-enzymatic antioxidants. Conclusion PP priming is a feasible method for improving tomato seed germination and seedling growth under drought stress by enhancing reserve mobilization, osmolyte accumulation, and antioxidant systems.
The Performance of BERT as Data Representation of Text Clustering
Authors: Subakti Alvin , Murfi Hendri , Hariadi Nora 
Published: September 2021

Abstract
Text clustering is the task of grouping a set of texts so that text in the same group will be more similar than those from a different group. The process of grouping text manually requires a significant amount of time and labor. Therefore, automation utilizing machine learning is necessary. The standard method used to represent textual data is Term Frequency Inverse Document Frequency (TFIDF). However, TFIDF cannot consider the position and context of a word in a sentence. Bidirectional Encoder Representation from Transformers (BERT) model can produce text representation that incorporates the position and context of a word in a sentence. This research analyzed the performance of the BERT model as data representation for text. Moreover, various feature extraction and normalization methods are also applied for the data representation of the BERT model. To examine the performances of BERT, we use four clustering algorithms, i.e., k-means clustering, eigenspace-based fuzzy c-means, deep embedded clustering, and improved deep embedded clustering. Our simulations show that BERT outperforms the standard TFIDF method in 28 out of 36 metrics. Furthermore, different feature extraction and normalization produced varied performances. The usage of these feature extraction and normalization must be altered depending on the text clustering algorithm used.
Factors Influencing Quality of Life in Patients with Nasopharyngeal Cancer Based on QLICP-NA (Version 2.0)
Authors: Fang Yangchen , Wan Chonghua , Yang Zheng , Wu Jiayuan , Hu Liren , Li Fei , Du Jinlin , Liang Zhangye 
Published: September 2021

Abstract
Objective To determine the quality of life (QoL) of patients with nasopharyngeal carcinoma (NPC) and the clinical factors that influence QoL. Methods Multiple linear regression, simple and canonical correlation analyses were used to analyze the factors that affected QoL in patients with NPC. Results The QoL scores were as follows: physical function domain, 61.03±15.03; mental function domain, 60.95±15.35; social function domain, 59.17±14.16; specific module domain, 75.62±14.87; and total scale score, 66.10±97.18. Multiple linear regression analyses showed that family economic status and clinical stage of the disease are the factors affecting the overall QoL among NPC patients. The simple correlation analysis showed that the hemoglobin level had a positive correlation with physical function, social function, specific module domains, and the total score of the total scale. Canonical correlation analysis revealed a pair of statistically significant typical variables and the canonical correlation coefficient was 0.561 (P<0.05). Conclusion The indicators related to the QoL among patients with NPC included family economic status, clinical stage of the disease, red blood cell count, and albumin, total bilirubin, blood urea nitrogen, creatinine, aspartate aminotransferase, and hemoglobin levels. A focus on these indicators and implementing the corresponding treatment measures had value in improving the QoL among patients with NPC.
The Lymph Node Metastasis Histology in Colorectal Cancer -The Clinical Implication of Tubular-Type Carcinoma in Lymph Nodes -
Authors: Yokoyama Shozo , Watanabe Takashi , Fujita Yoichi , Matsumura Shuichi , Ueda Katsuya , Kinoshita Ikuharu , Murakami Daisuke , Tabata Hirotaka , Tsuji Toshiaki , Ozawa Satoru , Tamaki Takuya , Nakatani Yoshihiro , Oka Masami 
Published: September 2021

Abstract
Cribriform carcinoma in lymph nodes (LNs) is associated with distant metastasis, recurrence, and survival in node-positive colorectal cancer (CRC) patients. However, the clinical significance of lymph node metastasis histology remains to investigate. A total of 318 consecutive CRC patients who underwent a colectomy or anterior resection between January 2011 and June 2016 were enrolled, of whom 119 (37.4 %) had LN metastasis (LNM). Based on the LNM histology, patients with LNM were categorized into four groups: the group with tubular-type in all LNs (tub), with cribriform in at least one LN (cri), with mucinous-type in all LNs (muc), and with poorly differentiated-type carcinoma in at least one LN (por). We investigated the association among these histological types with the survival of these patients. The prognosis was good in order of muc, tub, cri, and por in node-positive CRC patients. Stage II and stage III tub groups did not have significantly different over-all survival times, but not recurrence-free survival times. Multivariate analyses revealed that all tubular-type carcinoma in LNs was independent predictive factor for longer survival times, clinical complete response and possible metastasectomy Diagnosis of lymph node metastatic histology is an important factor for patient stratification in node-positive CRC.
Effect of stress-induced hyperglycemia after non-traumatic non-aneurysmal subarachnoid hemorrhage on clinical complications and functional outcomes
Authors: Zhang Zeyu , Zhao Yue , Liu Yibo , Wang Xiaoyu , Xu Houshi , Fang Yuanjian , Zhang Anke , Lenahan Cameron , Luo Yujie , Chen Sheng 
Published: September 2021

Abstract
Background
Despite having an overall benign course, non-traumatic non-aneurysmal subarachnoid hemorrhage (naSAH) is still accompanied by a risk of clinical complications and poor outcomes. Risk factors and mechanisms of complications and poor outcomes after naSAH remain unknown. Our aim was to explore the effect of stress-induced hyperglycemia (SIH) on complication rates and functional outcomes in naSAH patients.
Methods
We retrospectively reviewed patients with naSAH admitted to our institution between 2013 and 2018. SIH was identified according to previous criterion. Symptomatic vasospasm, delayed cerebral infarction, and hydrocephalus were identified as main complications. Outcomes were reviewed using a modified Rankin Scale (mRS) at discharge, 3 months, and 12 months. A statistical analysis of clinical, radiological, and laboratory risk factors of complications and outcomes was conducted.
Results
244 naSAH patients were incorporated in the cohort with 74 (30.3%) SIH. After adjusting for age, gender, hypertension, Hunt and Hess (HH) grade, modified Fisher Scale (mFS), intraventricular hemorrhage (IVH), and subarachnoid blood distribution, SIH was significantly associated with symptomatic vasospasm (P < 0.001, 12.176 [4.904–30.231]), delayed cerebral infarction (P < 0.001, 12.434 [3.850-40.161]), hydrocephalus (P = 0.008, 5.771 [1.570-21.222]), and poor outcome at 12 months (P = 0.006, 5.506 [1.632–18.581]), whereas the correlation between SIH and poor outcome at discharge (P = 0.064, 2.409 [0.951-6.100]) or 3 months (P = 0.110, 2.029 [0.852–4.833]) was not significant. Incorporation of SIH increased the area under curve (AUC) of ROC in the combined model for predicting symptomatic vasospasm (P = 0.002), delayed cerebral infarction (P = 0.024), hydrocephalus (P = 0.037), and 12-month poor outcome (P = 0.087).
Conclusions
SIH is a significant and independent risk factor for symptomatic vasospasm, delayed cerebral infarction, hydrocephalus, and long-term poor outcome in naSAH patients. Identifying SIH early after naSAH is important for decision-making and treatment planning.
Nonlinear System Identification in coherence with Nonlinearity measure for Dynamic Physical systems- Case Studies
Authors: Xavier Joanofarc , Panda Rames C , Patnaik SK 
Published: September 2021

Abstract
With the recent success of using the time series to vast applications, one would expect its boundless adaptation to problems like nonlinear control and nonlinearity quantification. Though there exist many system identification methods, finding suitable method for identifying a given process is still cryptic. Moreover, to this notch, research on their usage to nonlinear system identification and classification of nonlinearity remains limited. This article hovers around the central idea of developing a ‘kSINDYc’ (key term based Sparse Identification of Nonlinear Dynamics with control) algorithm to capture the nonlinear dynamics of typical physical systems. Furthermore, existing two reliable identification methods namely NL2SQ (Nonlinear least square method) and N3ARX (Neural network based nonlinear auto regressive exogenous input scheme) are also considered for all the physical process-case studies. The primary spotlight of present research is to encapsulate the nonlinear dynamics identified for any process with its nonlinearity level through a mathematical measurement tool. The nonlinear metric Convergence Area based Nonlinear Measure (CANM) calculates the process nonlinearity in the dynamic physical systems and classifies them under mild, medium and highly nonlinear categories. Simulation studies are carried-out on five industrial systems with divergent nonlinear dynamics. The user can make a flawless choice of specific identification methods suitable for given process by finding the nonlinear metric (Δ0). Finally, parametric sensitivity on the measurement has been studied on CSTR and Bioreactor to evaluate the efficacy of kSINDYc on system identification.