bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal dynamics of the Liaohe Delta over the past 30 years (1987– 2017) based on an integrated classification and preferred features approach
Authors: Sun Jihong , Su Guohui , Song Huairong , Wei Helong , Liu Jingpeng , Lin Wenrong 
Published: November 2022

Abstract
Mapping wetlands and monitoring spatiotemporal variabilities in wetland regions are useful for providing basic ecosystem-monitoring data that are necessary for the protection and management of wetlands. The main objective of this work was to propose a new approach for monitoring the spatiotemporal patterns and reclamation of coastal wetlands in the Liaohe Delta region from 1987 to 2017. With the proposed approach, we aimed to improve the classification accuracy by using integrated classification and a preferred features method. First, after preprocessing the remote sensing data representing the four years of 1987, 1997, 2007 and 2017, we extracted the first component of the principal component analysis (PCA1), normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI), soil index (SI), index-based build-up index (IBI), and tasseled cap transformation (TCT) values of the characteristic parameters, such as the brightness component, and then used the maximum likelihood classifier (MLC) and decision tree (DT) methods to classify the preprocessed image landscapes. Finally, we combined the results of the two classification methods with the optimal characteristic parameter band to form new data images and applied the MLC method to perform landscape classification. The analytical results showed that the proposed method can obtain a high average accuracy of 87.71% and a kappa coefficient of 0.85, reflecting a 16.50% higher average accuracy and a 20.72% higher kappa coefficient than the MLC results (average accuracy of 75.29% and kappa coefficient of 0.71). These results indicate that the proposed method is effective and feasible for long-term landscape dynamics research. By using this method, the landscape distributions of the Liaohe Delta wetlands in 4 periods were obtained. We found that although the area of reed wetlands in the Liaohe Delta region was reduced from 1987–1997 (from 1284.44 km2 in 1987 to 1006.70 km2 in 1997), the results were very good in the later periods, indicating optimized wetland protection (from 1040.20 km2 in 2007 to 1275.53 km2 in 2017). The coastal zone changed significantly throughout the study period, especially from 2007–2017; during this period, the coastline was significantly affected by human activities, and large areas of tidal flats and coastal suaeda were converted into salt pans and aquaculture areas, while ports, piers, and urban construction areas also continued to extend to the shallow-sea areas (resulting in the coastline land area increasing by 263.24 km2).
Triterpenoids in aerenchymatous phellem contribute to internal root aeration and waterlogging adaptability in soybean
Authors: Takahashi Hirokazu , Abo Chisato , Suzuki Hayato , Romsuk Jutapat , Oi Takao , Yanagawa Asako , Gorai Tomoka , Tomisaki Yukari , Jitsui Mana , Shimamura Satoshi , Mori Hitoshi , Kaga Akito , Ishimoto Masao , Seki Hikaru , Muranaka Toshiya , Nakazono Mikio 
Published: November 2022

Abstract
Aerenchymatous phellem (AP) is important for internal aeration and adaptation to waterlogging in plants. Herein, the extensive accumulation of triterpenoids such as lupeol and betulinic acid was identified in AP. However, the biological and physiological roles of these triterpenoids in plants are largely unknown. Lupeol is converted from 2,3-oxidosqualene by lupeol synthase (LUS) and oxidized to betulinic acid. Functional analysis of LUS genes in soybean revealed that GmLUS1 is crucial for triterpenoid biosynthesis in AP. Lupeol and betulinic acid were found to be the major components of epicuticular wax on the surface of AP cells, and they contributed to tissue hydrophobicity and oxygen transport to roots. Additionally, the lus1 mutant produced a shallow root system due to less oxygen transport via AP under waterlogged conditions. In conclusion, triterpenoid accumulation in AP aids internal aeration and root development for adaptation to waterlogging.
Signatures of odd dynamics in viscoelastic systems: from spatiotemporal pattern formation to odd rheology
Authors: Floyd Carlos , Dinner Aaron , Vaikuntanathan Suriyanarayanan 
Published: November 2022

Abstract
Non-reciprocal interactions fueled by local energy consumption are found in biological and synthetic active matter, where both viscosity and elasticity are often important. Such systems can be described by “odd” viscoelasticity, which assumes fewer material symmetries than traditional theories. In odd viscoelastic systems there is an interplay between the energy-consuming odd elastic elements and the traditional stabilizing elements. This leads to rich dynamical behavior which, due to a lack of appropriate numerical methods, has remained relatively unexplored. Furthermore, the implications associated with the presence of such odd terms in actomyosin and other similar anisotropic systems has not been addressed. Here, we study odd viscoelasticity analytically and using hydrodynamic simulations based on the lattice Boltzmann algorithm. We first outline how odd effects may naturally emerge from a theory of polymeric elasticity which can describe anisotropic systems like actomyosin. Next, we report on two striking features of odd viscoelastic dynamics: a pattern-forming instability which produces an oscillating array of fluid vortices, and strong transverse and rotational forces during a simulated rheological experiment. These findings can guide efforts to detect or engineer odd dynamics in soft active matter systems.
Modeling the outcome trajectories in patients with acquired brain injury: a non-linear dynamic evolution approach
Authors: Panunzi Simona , Lucca Lucia Francesca , De Tanti Antonio , Cava Francesca , Romoli Annamaria , Formisano Rita , Scarponi Federico , Estraneo Anna , Frattini Diana , Tonin Paolo , Piergentilli Ilaria , Pioggia Giovanni , Gaetano Andrea , Cerasa Antonio 
Published: November 2022

Abstract
In this study we provide a dynamic non-linear mathematical approach for modeling the course of disease in acquired brain injury (ABI) patients. Data from a multicentric study was used to evaluate the reliability of the Michaelis-Menten (MM) model applied to well-known clinical variables assessing the outcome of ABI patients. The sample consisted of 156 ABI patients admitted to eight neurorehabilitation subacute units (IRU) and evaluated at baseline (T0), after 4 months from the event (T1) and at discharge (T2). The MM model was used to characterize the trend of the first PCA dimension (represented by the variables: feeding modality, RLAS, ERBI_A, Tracheostomy, CRS-r and ERBI-B) to predict the most plausible outcome, in terms of positive or negative GOS at discharge. Exploring the evolution over time of the PCA Dimension 1, after day 86 the MM model was able to better discriminate the time course for individuals with positive with respect to negative GOS (Accuracy: 85%; Sensitivity: 90.6%; Specificity: 62.5%). Using a non-linear dynamic mathematical model, we can provide more comprehensive trajectories of the clinical evolution of ABI patients during the rehabilitation period. Our model can be used to select patients for interventions designed for a specific outcome trajectory.
An Experimental Study on the Effect of Graphite Microparticles on the Mechanical and Tribological Properties of Epoxy Matrix Composites
Authors: Ibrahim Muhammad Mustapha , El-Tayeb N. S.M , Shazly Mostafa , Seleman M. M. El-Sayed 
Published: November 2022

Abstract
In this article, mechanical and tribological properties of epoxy matrix composites filled with graphite particulates of 100µm at loadings between 0-1wt% are comprehensively discussed. The effects of the graphite filler on the wear surface of the specimens was investigated using an optical microscope. Results showed a large decrease in the tensile strength of the composite by more than 50% for 1wt% graphite loading. Flexural strength was seen to increase sharply with 0.1wt% graphite before reducing with higher graphite content. Impact and hardness values are both improved with higher graphite content. Friction coefficient was seen to reduce with the addition of graphite particles, this was attributed to the solid lubrication abilities of graphite. Wear rate was seen to sharply reduce with increase in graphite content as a result of the lubrication layer developed at the contact surface hence reducing the break-off of the specimen.
A Dynamic Quantum-Inspired Genetic Algorithm with Lengthening Chromosome Size
Authors: Hakemi Shahin , Houshmand Mahboobeh , Hosseini Seyyed Abed 
Published: November 2022

Abstract
This paper proposes a Dynamic Quantum-inspired Genetic Algorithm (DQGA), which combines the quantum mechanics concepts with metaheuristics principles to enhance the search capability of the genetic algorithm. The proposed algorithm also introduces the lengthening chromosome strategy for a balanced and smooth transition between exploration and exploitation phases. Apart from that, a novel adaptive look-up table for rotation gates is presented to boost the algorithm's optimization abilities. To evaluate the effectiveness of these ideas, the DQGA is tested by various mathematical benchmark functions as well as real-world constrained engineering problems against several well-known and state-of-the-art algorithms. The obtained results indicate the merits of the proposed algorithm.
Investigating the effects of remdesivir on corrected QT interval in patients with severe COVID-19 disease: A historical cohort study
Authors: Saffar Homina , Nabati Maryam , Saffar Naser , Yazdani Jamshid 
Published: November 2022

Abstract
Purpose: There is little information about the risk of drug-induced QT prolongation by remdesivir as the most important FDA approved anti COVID-19 drug. Long corrected QT interval (QTc) is a marker of an adverse prognosis which may lead to torsade de pointes and degenerate into ventricular fibrillation. The aim of this study was to determine the effects of remdesivir on QTc in patients with severe COVID 19 disease.
Methods: This study was a historical cohort study on 249 patients with severe COVID-19 disease who were considered for intravenous remdesivir therapy. Electrocardiograms were obtained at the baseline and fifth days of remdesivir therapy to determine whether there is any significant change in QTc and QT interval following therapy. Blood samples were also taken at the time of admission and then daily to measure complete blood count and the plasma levels of potassium, sodium, fasting blood glucose (FBS), and creatinine (Cr).
Results: The results of this analysis showed blood pressure and heart rate (HR) were lower and total white blood cells and neutrophil counts, FBS and Cr levels were higher at fifth day than first day of study (P value<0.001). Furthermore, QT interval was more prolonged at fifth day compared with beginning of remdesivir therapy (379.51± 34.90ms vs. 366.72± 30.97ms, P value<0.001). However, QTc was not significantly increased at fifth day in comparison with first day (402.37±33.62ms vs. 400.76±30.18ms, P value=0.524). Univariate logistic regression analysis showed increased heart rate was associated with a significant decrease in QT interval (B= 0.955, 95% CI: 0.933- 0.977, P value< 0.001) (Table 4).
Conclusions: The result of our study showed remdesivir at usual therapeutic dose did not have any significant effect on QTc prolongation. However, there was significant QT prolongation following remdesivir therapy due to effect of HR on QT interval. It was due to the fact that remdesivir exerted a rate lowering effect with resultant increase in QT interval.
Association of rs6441961 with celiac disease patients from Punjabi Pakistani population
Authors: Ali Ansar , Khan Waqas Ahmed , Hussain Misbah , Zulfiqar Sumaira , Fiaz Amna , Masood Muhammad Adnan 
Published: November 2022

Abstract
Celiac disease (CD) is well known for chronic inflammation of intestine due to the gluten intolerance. Various environmental and genetic factors are responsible for CD pathogenesis. Studies have shown that polymorphisms in C-C chemokine receptor type 3 encoding CCR3 gene are important in onset and progression of CD owing to its prominent role in promoting allergic reactions and other CD-related complications. Various studies have shown that CCR3 rs6441961 T > C polymorphism significantly increases the risk of CD. Thus, the objectives of current study were to genotype the rs6441961 by using cost efficient and rapid genotyping assay, assess its prevalence in Punjabi Pakistani population and to check its association with celiac disease. Total 90 subjects were recruited and divided into two groups [healthy controls (N = 55) and patient group (N = 35)]. Tetra-ARMS-PCR was designed, optimized and used for quick, specific and less expensive genotyping of rs6441961. Chi-square test and logistic regression analysis were applied to check the association of rs6441961 with CD. Statistical analysis revealed that TT and TC genotypes were more prevalent in both groups, however, the prevalence of CC genotype was more in patient group as compared to healthy controls (25.8% vs. 18.2%). In spite of these differences, they could not reach the significance level (χ2 = 0.74, p = 0.69). Multinomial regression analysis also complimented the findings of chi-square test. In summary, in-house developed tetra-ARMS-PCR is rapid, accurate and cost effective. TT genotype is more prevalent in Punjabi Pakistani population. The risk of CD in Punjabi Pakistani population is not influenced by CCR3 rs6441961 T > C polymorphism.
A novel digital arthrometer to measure anterior tibial translation: A Quantitative Study
Authors: Wu Danni , Wang Donghai , Han Yongjie , Guo Luqi , Zhou Lan , Zhang Ziyan , Zhao Yaqi , Li Jixin , Zhang Ling , Luo Ye , Wang Shaobai 
Published: November 2022

Abstract
Background
Measurement of knee laxity after anterior cruciate ligament (ACL) injury is crucial for appropriate treatment and rehabilitation decision-making. This study examined the potential of a new digital arthrometer (Ligs, Innomotion, Shanghai, China) to quantify anterior tibial translation (ATT) in patients with ACL injuries and in healthy subjects.
Methods
A total of 60 participants included 30 subjects with single-leg ACL injuries and 30 healthy subjects included as controls. The lower leg was immobilized and a thrust under a dynamic load of 0–150 N was gradually applied posteriorly, with continuous displacement recorded. ATT and side-to-side differences (SSD) between the control and ACL injury groups were compared. Receiver operating characteristic (ROC) curves were analyzed, and the area under the curve (AUC) was calculated to determine the diagnostic accuracy of the Ligs.
Results
The interrater ICC was 0.909 and the intrarater ICC was 0.943. Significant differences in the SSD were observed between the control and ACL injury groups (for all P < 0.05), with the largest effect size (ES = 1.12) at 80 N. When comparing ATT at different loads between injured and healthy sides in the ACL injury group, displacement was statistically significant at different loads. At a load of 150 N, the AUC was the maximum (0.857) and the sensitivity and specificity were 0.87 and 0.73, respectively.
Conclusions
A digital arthrometer can be used as a quantitative instrument to quantify knee laxity. Quantitative measurement of ATT and SSD under controlled loading can be an objective and effective tool for clinical practice.
Degradation Behaviors and Accumulative effects of Coexisting Chlorobenzene Congeners on the Dechlorination of Hexachlorobenzene in soil by nanoscale zero-valent iron
Authors: Wang Qi 
Published: November 2022

Abstract
It is well known that many chlorinated organic pollutants can be dechlorinated by nanoscale zero-valent iron. However, in the real chlorinated organic compounds contaminated soil, high chlorinated organic pollutants and low chlorinated organic pollutants often coexist and their dechlorination behaviors are poorly known, such as hexachlorobenzene. In this work, the degradation behaviors of three coexisting chlorobenzene congeners pentachlorobenzene (PeCB), 1,2,4,5-tetrachlorobenzene (1,2,4,5-TeCB) and 1,2,4-trichlorobenzene (1,2,4-TCB) and the influence of initial pH and reaction temperature on the dechlorination of HCB in HCB-contaminated soil by nanoscale zero-valent iron were studied. The amount and extent of accumulated coexisting chlorobenzenes was analyzed under different environmental conditions. The results indicate that nanoscale zero-valent iron can improve the degradation efficiency of high-toxic chlorinated benzenes and reduce the accumulative effects of high-toxic chlorinated benzenes on dechlorination of HCB. The accumulative effects of three coexisting chlorobenzene congeners on the dechlorination of HCB were ranked as follows: 1,2,4-TCB > 1,2,4,5-TeCB > PeCB.
SNTB1 and ZFHX1B Gene Polymorphisms in Northern Chinese Han Population with High Myopia
Authors: Xu Youmei , Pan Meng , Liu Zhenzhen , Jin Xuemin , Du Liping , Zhou Pengyi 
Published: November 2022

Abstract
Aim
To explore the association between SNTB1 and ZFHX1B gene polymorphisms with high myopia (HM) in northern Chinese Han population
Materials and Methods
This study used case- control method and included 457 HM and 860 normal control subjects from northern Chinese Han participants. The four Single nucleotide polymorphisms (SNPs) (rs7839488, rs4395927, rs4455882,and rs6469937) in SNTB1 gene and one SNP in ZFHX1B gene(rs13382811 were chosen with two previous GWAS studies. We compared to assess the association of allelic frequencies and haplotypes between HM with normal controls. The allele and genotype distributions of SNPs in SNTB1 and ZFHX1B gene were compared between two groups by Chi-square test and Fisher exact correction. The pairwise linkage disequilibrium (LD) and haplotype analysis was performed using SHEsis software
Results
For HM subjects, the mean age was 44.80 ± 17.11 years, and for the control subjects, it was 44.41 ± 14.26 years. There was a linkage disequilibrium (LD) in SNTB1 (rs4395927 and rs4455882). The result showed that C-A haplotype frequency was a little higher in HM subjects than that of the controls (OR = 1.24, 95% CI = 1.01–1.52, P = 0.038). In the meanwhile, the result showed that T-G haplotype frequency was a little lower in HM group (OR = 0.81, 95% CI = 0.66–0.99, P = 0.038). In ZFHX1B gene, the frequency of the minor T allele of rs13382811was significant higher in HM group than in control group (OR = 1.37, 95% CI = 1.41–1.65, P = 0.005) Furthermore, in the CT genotype, there was significant differences in genotype frequency (OR = 1.57, 95% CI = 1.23-2.00, P = 0.001). In dominant model, there was a significant difference (TT + CT vs. CC, OR = 1.55, 95% CI = 1.23–1.95, P = 0.001).
Conclusions
The SNTB1 and ZFHX1B were both risk genes and increased susceptibility in northern Chinese Han population with high myopia.
Impacts of Illegal Gold Panning on Surface Water Quality in Umzingwane River of Umzingwane District, Zimbabwe
Authors: Muringaniza Kudakwashe C.R. , Mavugara Roberta , Musasa Tatenda , Lembani Confidence 
Published: November 2022

Abstract
The study assessed the impacts of illegal gold panning on surface water quality in Umzingwane River. The study adopted a mixed methods research design. In this case, questionnaires and interviews were used to gather information on poor surface water quality problems and its impacts on aquatic vegetation. Three sampling points were noted and were named 1, 2 and 3 with site 1 located before the illegal gold mining zone and site 2 was adjacent to the mining zone and site 3 after the mining zone. Samples were taken for the dry season (September) and the wet season (December). Three grab samples were taken at each sampling point to make a composite sample. Based on the results obtained illegal gold mining along Umzingwane River cutting across Umzingwane district ward 4 has led to contaminated surface water quality as all the surface water quality physicochemical parameters such as PH, COD, dissolved solids, dissolved substances, turbidity, copper and iron at some point were above the WHO and SAZ standards especially at site 2 and 3. This raises concern as the river is a major source of water for a number of human activities and hence the need to maintain its quality at desirable level. There is need for responsible authorities to find alternatives sources of water or adopt new technology of water treatment of raw water and also reduce the levels of pollution in the river.
Sharing and re-using learning objects Using web-mining techniques and Clustering algorithms
Authors: Amane Meryem , Aissaoui Karima , Berrada Mohammed 
Published: November 2022

Abstract
The development of learning objects and e-pedagogical practices has significantly influenced and changed the performance of e-learning systems. This development promotes a genuine sharing of resources and creates new opportunities for learners to explore them easily. Therefore, the need for a system of categorization of these objects becomes mandatory. In this vein, classification theories combined with web mining techniques can highlight the performance of these learning objects and make them very useful for learners. This study consists of two main phases. First, we extract metadata from learnings objects, using the algorithm of Web exploration techniques such as feature selection techniques, which are mainly implemented to find the best set of features that allow us to build useful models. The key role of feature selection in learning object classification is to identify pertinent features and eliminate redundant features from an excessively dimensional dataset. Second, we identify learning objects according to a particular form of similarity using Multi-Label Classification (MLC) based on Fuzzy C-Means (FCM) algorithms. As a clustering algorithm, FCM is used to perform classification accuracy according to Euclidean distance metrics as similarity measurement. Finally, to assess the effectiveness of learning objects with FCM, a series of experimental studies using a real-world dataset were conducted. The findings of this study indicate that the proposed approach exceeds the traditional approach and leads to viable results.