bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selenium Regulated Growths and Response of Nutrients in Moringa oleifera Lam Under Arsenic Stress
Authors: Du Lijuan , Liu Xinyong , Yin Benlin , Yang Xukun , Yan Hongmei , Shao Jinliang , Wang Yunmei 
Published: June 2022

Abstract
Root is the primary organ directly exposed to As pollutants in soil, which uptakes have a closely effect on the accumulation and transportation of As. This study is intended to investigate the influence of Se on the growths and nutrients responding in Moringa oleifera Lam under As stress. The main results are: (1) The application of selenium can promote the growth of root, while the application of arsenic can inhibit the growth of it; (2) Contents of Se and As are the highest in the first treatment and the fourth treatment, and R-As of selenite application has a decreasing change in different parts of it; (3) Contents of organic Se and organic As are the highest in the first treatment and the fourth treatment and have the lowest at the same treatment as the highest concentration; (4) Contents of TAA and proteins are the highest in the first treatment and are the lowest with the fifth treatment. Met+Cys is the FLAA in Moringa oleifera. When different selenite and arsenite are applied. Different treatments of selenite and arsenite were positively correlated with As and the organic As contents, but negatively related with TAA and proteins. Through this research, the protection of Se on Moringa oleifera under the condition of As biological stresses will be analyzed, aimed at achieving functions of As descending and Se suppling by reasonable exogenous selenium applying. It will have a great significance to assure the quality and safety of agricultural products and human health.
Late Miocene-early Pliocene Palaeoenvironmental Changes in the Western Rifian corridor (NE Morocco)
Authors: RAHMOUNA JIHAD , BARHOUN nadia , RACHID ahmed , TARGHI soukaina , BAHAJ hannane , BERRY naima , YOUSFI mohamed zakaria 
Published: June 2022

Abstract
The Gharb basin constitutes the western part of one of the main corridors that connecting the Mediterranean Sea and the Atlantic Ocean during the Upper Miocene. This basin is characterized by a continuous sedimentary filling from the Upper Tortonian to the Pliocene, likely to record environmental information useful for the reconstruction and evolution of the marine environment before and during the Messinian salinity crisis.Based on an integrated study of the planktonic and benthic foraminifera of borehole DF 101 (Gharb basin, Morocco), the objective of this work is, on the one hand, to clarify the biostratigraphic framework of the sediments studied and, on the other hand, to make a further contribution to the reconstitution and evolution of the marine environment during the Upper Neogene in the Gharb Basin.The high-resolution biostratigraphic study of borehole DF 101 revealed the succession of eight bioevents and characterized the Upper Tortonian, Messinian and Zanclean.The composition of benthic foraminiferal assemblages, paleoecological indices and statistical analysis show an evolution of depositional conditions in terms of bathymetry and oxygen content from the Upper Tortonian to the Pliocene.The Upper Tortonian is marked by an association of very diversified benthic foraminifers that characterizes the upper bathyale, the estimated paleobobathymetry is over 800 m and the medium is well oxygenated. Messinian marl deposits are characterized by a decrease in bathymetry, and a reduction in the rate of oxygenation. While during the Lower Pliocene, the medium becomes relatively deeper, higher bathyal type and normal oxygenation rate.
Preparation of sulfonated coal@ZVI@chitosan-acrylic acid composite and study of its removal of groundwater Cr(VI)
Authors: Gao Jianlei , Feng Mengyuan , Yan Yixin , Zhao Zixu , Wang Yingchun 
Published: June 2022

Abstract
The effects of Cr(VI) pollution in groundwater run wide and deep. Without effective remediation, Cr(VI) harms the environment and human health. With in situ treatment methods in which permeable reactive walls serve as the main body, chitosan-acrylic acid sols (CS-AA) were used to stabilize zero-valent iron (ZVI), and acid-modified sulfonated coal (SC) was used as the carrier to prepare SC@ZVI@CS-AA. The interaction between SC@ZVI@CS-AA and Cr(VI) conformed to a pseudo second-order kinetic model suggesting chemisorption. The Langmuir model provided a good fit to the data for adsorption of Cr(VI) by SC@ZVI@CS-AA. SC@ZVI@CS-AA was characterized using XRD, FTIR, SEM and TG − DSC analyses. The effects of contact time, initial Cr(VI) concentration, temperature, material ratios, pH, dosage of SC@ZVI@CS-AA and interfering ions on the adsorption of Cr(VI) were investigated. Under the optimal conditions, the efficiency for removal of Cr(VI) reached 98.5%. The adsorption of Cr(VI) was significantly inhibited by SO42-. In addition, the capacity for adsorption of Cr(VI) by SC@ZVI@CS-AA remained above 70% after three use cycles. Overall, SC@ZVI@CS-AA proved to be a promising and environmentally friendly medium for removal of Cr(VI) from groundwater.
Synthesis and characterization of Novel Gadolinium doped CoCr2O4: Focus on Structural, Electric and Humidity Sensing properties
Authors: Ramprasad N. , Gowda G.V. Jagadeesha , Gowda K.V. Arjuna , Kantharaj K.S. , Tudorache Florin , Abdulvakhidov Kamaludin , Lyanguzov Nikolay , Yahia I.S. , Zahran H.Y. , Angadi jagadeesh 
Published: June 2022

Abstract
In this paper, we presented structural, Fourier infrared spectroscopic, and dielectric analysis of cobalt chromate (Co2+Cr23+O4) with 2 mole % of gadolinium (Gd3+) rare earth metal additions under humidity and non-humidity circumstances. The Gd3+ doped Co2+Cr23+O4 samples are prepared by solution combustion method and sintered for 2 hours at 650°C to get single phase. Doped and undoped samples were characterise X-ray powder diffraction (XRD) analysis provides the detailed formation of the Co2+Cr23+O4 phase and crystallinity. Furthermore, the average crystallite sizes are found in the range of 18 to 7 nm. The general nature of ferrite materials is revealed via FTIR analysis. The octahedral and tetrahedral stretching band in FTIR spectra were confirmed ferrite structure without impurity. We investigated the relevant conductivity of the samples, the reaction time of the capacitive sensor, and the humidity influence on the relative permittivity characteristics at a constant frequency range of f = 1 kHz. Our findings indicate that Gd3+ doped Co2+Cr23+O4 could be exploited as an active material in humidity sensor applications.
Standardization and Validation of a High Yield Conventional Platelet-rich Plasma Preparation Protocol
Authors: Muthu Sathish , Ramanathan Karthik Raja 
Published: June 2022

Abstract
Introduction: Platelet-rich plasma (PRP) has been demonstrated to benefit a variety of disciplines for diseases of inflammatory or degenerative origin. But there exists heterogeneity in the results obtained due to the lack of standardization of the preparation protocols employed in them. This study aims to identify and standardize a preparation protocol for PRP with maximum recovery of platelets to obtain reproducible results across studies. Materials & Methods: Blood samples were collected from 40 healthy volunteers who signed informed consent for participation in the study. The double spin protocol of PRP preparation was analyzed for variables such as centrifugal acceleration, time, and volume of blood processed and final product utilized. The final PRP prepared was investigated for platelet recovery, concentration, integrity, and viability. Each protocol investigated was run twice in all the samples to avoid reporting and sampling bias. Results: We noted maximum platelet recovery (86-99%) with a consistent 6.4±0.8 times baseline concentration of platelets with double centrifugation cycles at 100 and 1600g for 15 and 20 minutes respectively. We also noted that 10 ml of the volume of blood in a 15 ml tube was the ideal volume of blood to be processed to maximize platelet recovery. We noted the upper 2/3rd of the final product was free of platelets thereby making the lower 1/3rd the ideal volume to be utilized. We did not note a loss of integrity or viability of the platelets in the final product from the above-said protocol. Conclusion: Preparation of PRP by the double spin protocol of 10 ml of blood at 100g and 1600g for 15 and 20 minutes respectively in a 15ml tube and using the lower 1/3rd of the final product demonstrated consistent high platelet recovery (86-99%) and concentration (6x) without disturbing the platelet integrity or viability.
Investigating Factors Impacting on Export Performance and Market Share of Petrochemical Companies in Iran: A Case Study of Persian Gulf Petrochemical Industries Company (PGPIC)
Authors: Khademvatani Asgar , Mohammadi Vahid , Moghadam Abdollah 
Published: June 2022

Abstract
The global petrochemical industry is described as capital-intensive and deeply cyclical mainly caused by local and global economic cycles. Export performance and market share are key indicators of petrochemical industry competitiveness. There by, recognizing comparative advantages leading to competitive advantage is a key point to minimize economic cycle’s implications for petrochemical companies. To do so, the paper applies a partial-adjustment dynamic panel data model and estimates two export performance and market share equations separately using generalized method of moments (GMM) method over the time period 2004 to 2016. The empirical results show that energy costs, return on sales, and labor productivity are the most important factors impacting Persian Gulf Petrochemical Industries Company (PGPIC)’s market share. Energy costs influences market share negatively and return on sales and labor productivity have a positive effect on market share of the company. Also, depreciation, return on sales, and labor productivity are the most influential variables on PGPIC’s export performance which have positive impacts on the company export. The results indicate that improving both market share and export performance factors has led the company to gain more competitive position than its competitors in regional and international markets.JEL Classification: D40, L11, D20, J24
Decision Support System for Orthgnathic diagnosis and treatment planning based on machine learning
Authors: Du Wen , Bi Wenjun , Liu Yao , Zhu Zhaokun , Tai Yue , Luo En 
Published: June 2022

Abstract
Objectives
This study aims to establish a machine learn-based decision support system for the treatment of dental and maxillofacial malformations and verify its feasibility.
Materials and Methods
Between January 2015 to August 2020, 574 patients with spiral CT and have confirmed diagnosis of dento-maxillofacial deformities were used to train the diagnostic model based on five kind of machine learning algorithm. The diagnostic performance of the algorithm was compared with the ground truth and evaluated by accuracy, sensitivity, specifcity, and area under the ROC curve (AUC). The adaptive artificial bee colony (aABC) algorithm was used to calculate the orthognathic surgical plan based on cephalometrics in the normal population. The algorithm was used to automatically generate surgical plans for 50 patients and the plans were rated by three experienced maxillofacial surgeons.
Results
The binary relevance extreme gradient boosting model delivered the best overall performance. The final diagnosis success rates on six different kinds of maxillofacial deformities were all over 90%, except for maxillary overdevelopment (89.27%).
Conclusions
The machine learning algorithms show high accuracy and effectiveness in diagnosis and surgical plan design of dento-maxillofacial deformities. The AUC of all diagnostic types was greater than 0.88. The median score for surgical plan was 9. The scheme scores were further improved after human-computer interaction.
Clinical Relevance
The decision support system based on machine learning could be used for automatic diagnosis and surgical design for patients with dento-maxillofacial deformities, which will help improving diagnostic efciency and provide expertise to areas with lower medical levels.
Genome wide association analysis for yield related traits in maize
Authors: Zeng Tingru , Meng Zhaodong , Yue Runqing , Lu Shouping , Li Wenlan , Li Wencai , Meng Hong , Sun Qi 
Published: June 2022

Abstract
Background: Understanding the genetic basis of yield related traits contributes to the improvement of grain yield in maize. Results: Using 291 excellent maize inbred lines as materials, six yield related traits of maize, including grain yield per plant (GYP), grain length (GL), grain width (GW), kernel number per row (KNR), 100 kernel weight (HKW) and tassel branch number (TBN) were investigated in Jinan, in 2017, 2018 and 2019. The average values of six environments were taken as the phenotypic data of yield related traits, and they were statistically analyzed. Based on 38,683 high-quality SNP markers in the whole genome of the association panel, the MLM with PCA model was used for genome-wide association analysis to obtain significantly associated SNP sites, and candidate genes were predicted based on the LD interval sequence of these significant associated SNPs, and the functions of candidate genes were annotated. Conclusions: The phenotypic analysis showed that the six yield related traits exhibited a normal distribution and high level of heritability. Genome-wide association study (GWAS) found 59 significantly associated SNPs (P<0.00001) referring to GYP, KL, KW, KNR, HKW and TBN, of which 14 SNPs located in yield related QTLs/QTNs previously reported. A total of 66 candidate genes were found based on those significantly associated SNPs. These findings provide valuable information for understanding the genetic mechanisms of maize grain yield formation and for improving molecular marker-assisted selection for the high-yield breeding of maize.
5-(4-(3-(substituted aryl/alkyl)-4-oxothiazolidin-2-yl)benzylidene)thiazolidine-2,4-dione molecules: Synthesis, Biological potential and in silico studies
Authors: Kumar Harsh , Kumar Davinder , Kumar Pradeep , Thareja Suresh , Marwaha Minakshi Gupta , Shankar Uma , Marwaha Rakesh Kumar 
Published: June 2022

Abstract
Background: A novel series of thiazolidine-2,4-dione molecules was derived and their chemical structures were established using physiochemical parameters and spectral techniques (1H-NMR, IR, MS etc.). The synthesized molecules were then evaluated for their antioxidant, anticancer and antimicrobial potential.Results and discussion: Serial tube dilution method was employed to evaluate the antimicrobial potential against selected fungal and bacterial strains by taking fluconazole and cefadroxil as reference antifungal and antibacterial drugs respectively. 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity was used to assess the antioxidant potential of the synthesized analogues. The interactions of the derived thiazolidine-2,4-dione analogues with DNA gyrase and CDK8 enzymes were explored using molecular docking studies. Further, anticancer potential of the best docked molecules was assessed using MTT assay. The drug likeness was also evaluated by studying different ADME parameters of the synthesized analogues.Conclusion: In antioxidant evaluation studies, the analogue H5 with IC50 = 14.85 μg/mL was found to be the most active molecule. The antimicrobial evaluation outcomes suggested that the molecules H5, H13, H15 and H18 possessed moderate to promising activity against the selected species of microbial strains having MIC range 7.3 µM to 26.3 µM. The molecular docking studies revealed molecules H18 (docking score = -4.07) and H7 (docking score = -3.77) have reasonably fair docking score in the binding site of DNA gyrase in comparison to the reference drug. The molecules H2 (docking score = -5.75) and H10 (docking score = -5.41) having good score, exhibited decent interaction in the binding pocket of CDK8. The ADME studies revealed that all the compounds found to be drug like.
Assessment of the Optimization of Hyperparameters in Deep LSTM for Time Series Sea Water Tidal Shift
Authors: Luaran Nosius , Alfred Rayner 
Published: June 2022

Abstract

Generating accurate and reliable tidal forecasts is very crucial to support routine coastal decision-making. The forecasting of univariate time series behavior becomes more challenging and requires state-of-art techniques to achieve realistic forecasting outcome. However, the larger the initial hyperparameters space that must be searched, the more iterations the automated hyperparameters tuning technique should have. As a result of the complexity to tune the deep learning architecture in producing an optimal and consistent result, tuning several hyperparameters to improve deep learning results in learning time series data is highly needed. Therefore, it is necessary to investigate the best approach to fine tune machine learning algorithms that have multiple hyperparameters (e.g., deep Long Short-Term Memory (LSTM)) to learn and gather collective knowledge about time series sea water tidal shift data that could be used to make better forecasts for the individual time series. Thus, the aim of this paper is to investigate the effects of varying the values of the hyperparameters of the LSTM architecture on the forecasting accuracy of the sea water tidal height variation under non-extreme conditions. In this paper, we empirically evaluate the proposed LSTM forecasting framework to model the tidal dataset based on the RMSE measurements as the hyperparameters change. These hyperparameters are divided into static hyperparameters (e.g., mini batch size, number of epochs, number of iteration and percentage of neuron dropout) and dynamic hyperparameters (e.g., number of layers, number of hidden units, learning rate and L2 regularization). The initial static hyperparameters are used to estimate the optimal values of the dynamic parameters using the Bayesian Optimization method. Based on the results, we highlighted some findings that will aid in improving the performance of the LSTM model for tidal forecasting for hourly short term sea water level and these allow users to choose the best static and dynamic hyper-parameters combination that can produce the optimum outcomes. Finally, the paper is concluded by suggesting some of the extended works that can be performed to improve the results of forecasting the sea water tidal shift.
The Effect of Different Intensity Exercise on Energy Consumption and Metabolism Substrate in Obese Adult Women
Authors: Jin Li , Zhu Xiaoning , Xue Qinbo 
Published: June 2022

Abstract
Background
This study aims to compare differences between obese and normal-weight females in maximal fat oxidation (MFO) and exercise intensity eliciting MFO (Fatmax), as well as explore the relationship between cardiopulmonary function and Fatmax.
Methods
Nine obese female (O Group) and nine subjects with normal weight (C Group) participated in this research. Each individual tested by using a MetaMax 3B metabolimeter was performing an incremental graded exercise protocol on an electronic bicycle ergometer to evaluate maximal oxygen uptake (VO2max). And, after, exercises at 25%, 35%, 45%, 55%, 65% and 75% of VO2max were conducted on a separate day to assess MFO and Fatmax.
Results
The results showed that, in exercises of the same intensity (%VO2max), VO2/kg and MET were significantly lower in O Group than these in C Group, while EE/kg was significantly lower. Moreover, the O group had lower VO2max/kg (P < 0.01 ), AT-VO2/kg ( P < 0.05 ), and Fatmax -VO2/kg ( P < 0.05 ), the obese women reached MFO (0.22-0.44g/min) at 44.67–59.40% of VO2max more than C group.
Conclusions
In conclusion, the application of the graded exercise protocol during this study can get accuracy on MFO and Fatmax estimation, and ensure that the use of Fatmax can be applied to improve cardiorespiratory fitness.
Crop landraces inventory for Portugal
Authors: Almeida Maria João , de Carvalho Miguel ÂA Pinheiro , Barata Ana Maria , Brehm Joana Magos , Maxted Nigel 
Published: June 2022

Abstract
The threats to agrobiodiversity ultimately affect our future food security. Countries bonded to national or international biodiversity conservation legislation should conserve and sustainably use their agrobiodiversity. Landraces are a key element of agrobiodiversity which is largely endangered due to lack of their systematic conservation, and partially due to obstacles in developing inventories which may be assigned to the difficulties in applying a standard landrace’ definition and to complications associated with nomenclature (synonyms/homonyms). Effective national conservation of landraces can be best achieved with a comprehensive inventory. In this paper, we developed a comprehensive inventory of food and other Portuguese agricultural landraces by surveying literature, local media, and farms. Farms were selected based on knowledge of experts and using an ecogeographic diversity approach based on Geographic Information Systems. We compiled 14,813 records of 7,492 different landraces. Grape vine (Vitis vinifera L.), common beans (Phaseolus vulgaris L.), and maize (Zea mays L. subsp. mays) have the highest number of landraces in Portugal according with the gathered data. Bragança and Faro are the districts with more records of landraces. The landrace inventory for Portugal that we developed is a first iteration of such kind and should be updated systematically.
Correlation Between Phase Angle and Nutritional Status in Hospitalized Patients at Nutritional Risk
Authors: Carvalho Juliana Bonfleur , de Andrade Grasiela Konkolisc Pina , Nascimento Ludiane Alves do , Severine Ariane Naldoskis , Rodrigues Ana Lucia Chalhoub Chediac 
Published: June 2022

Abstract
Objective: This study evaluated the correlations between phase angle and muscle mass, which can contribute to an accurate nutritional diagnosis. Methods: Retrospective cross-sectional study, conducted from July 2020 to July 2021, included patients classified as at-risk based on their initial nutritional assessments. Bioelectrical impedance analysis was used to evaluate body composition and determine the PA. Data on nutritional status and hospital stay were also obtained. Results: Among the 1.012 evaluated patients, 55% (557) were male, the median age was 71.8 years, and the median body mass index (BMI) was 22.7 kg/m2. A total of 60.1% (606) of the patients had low MM. The PA cut-off for reduced MM was 4.30º for the total population and for men, and 3.76º for women. Patients with reduced PA were older (61.8 [23] vs. 76.4 [19] years; p<0.001), had a longer hospital stay (14 [20] vs. 11[15]; p<0.001) and lower BMI (24.1 [6.0] vs 22.3 [4.8] kg/m2; p<0.001). Patients with a hospital stay >11 days were twice as likely to have a reduced PA (odds ratio [OR] = 2.00, 95% confidence interval [CI] 1.37–2.93). In addition, patients from critical units were almost twice as likely to have a reduced PA (OR = 1.87, 95% CI 1.22–2.87). Conclusion: Patients with reduced MM presented a lower PA cut-off than that for patients with normal MM; thus, the PA represents a good marker to detect MM reduction. A reduced PA also increased the likelihood of malnutrition and prolonged hospital stay.