bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Major QTL is associated with berry grape texture characteristics
Authors: Crespan Manna , Migliaro Daniele , Vezzulli Silvia , Zenoni Sara , Tornielli Giovanni Battista , Giacosa Simone , Paissoni Maria Alessandra , Río Segade Susana , Rolle Luca 
Published: February 2021

Berry texture and berry skin mechanical properties are traits with high agronomic relevance because they are related to quality parameters and marketing requirements of wine, table, and raisin grapes. Searching for QTLs linked to berry texture, an F1 population of 152 individuals and their parents were used in this study. These F1 plants were obtained crossing Raboso Veronese, a seeded black wine grape cultivar, and Sultanina, a seedless white grape variety, especially used for raisins. Density flotation was applied for berry sorting improving the management of many and highly variable genotypes, irrespective of the quantification of specific molecule classes. Berries were evaluated for technological ripeness parameters and mechanical properties. Texture parameters were taken as raw data and as data normalised on berry dimensions, i.e., berry diameter or surface or volume. SSR molecular markers were used to produce a genetic map and a major QTL for berry texture was found on chromosome 18 with traits related to berry firmness showing a phenotypical explained variance higher than 60 %, and traits related to berry resilience, springiness and cohesiveness showing a variance higher than 50 %. Surprisingly, this QTL showed to be associated with SSR markers linked to VviAGL11, the main gene linked to seedlessness. VviAGL11 expression and co-expression profiling during grape ripening was evaluated using available information; this data suggested a role for this gene on the texture of a ripe berry.List of Abbreviations:ABW, average berry weightBR, berry resilienceBR_diam, berry resilience normalised on berry diameterBR_sur, berry resilience normalised on berry surfaceBR_vol, berry resilience normalised on berry volumeBS_ratio, berry springinessBS_ratio_diam, berry springiness normalised on berry diameterBS_ratio_sur, berry springiness normalised on berry surfaceBS_ratio_vol, berry springiness normalised on berry volumeBCo, berry cohesivenessBCo_diam, berry cohesiveness normalised on berry diameterBCo_sur, berry cohesiveness normalised on berry surfaceBCo_vol, berry cohesiveness normalised on berry volumeBH, berry hardnessBH_diam, berry hardness normalised on berry diameterBH_sur, berry hardness normalised on berry surfaceBH_vol, berry hardness normalised on berry volumeBG, berry gumminessBG_diam, berry gumminess normalised on berry diameterBG_sur, berry gumminess normalised on berry surfaceBG_vol, berry gumminess normalised on berry volumeBCh_ratio, berry chewinessBCh_ratio_diam, berry chewiness normalised on berry diameterBCh_ratio_sur, berry chewiness normalised on berry surfaceBCh_ratio_vol, berry chewiness normalised on berry volumeFsk, berry skin break forceWsk, berry skin break energyEsk, berry skin resistance to the axial deformationSpsk, berry skin thickness
Assessing the Value to the Patient of New Technologies in Anatomic Total Shoulder Arthroplasty
Authors: Schiffman Corey J. , Prabhakar Pooja , Hsu Jason E. , Shaffer Michele L. , Miljacic Ljubomir , Matsen Frederick A. 
Published: February 2021

Background:
Publications regarding anatomic total shoulder arthroplasty (TSA) have consistently reported that they provide significant improvement for patients with glenohumeral arthritis. New TSA technologies that have been introduced with the goal of further improving these outcomes include preoperative computed tomography (CT) scans, 3-dimensional preoperative planning, patient-specific instrumentation, stemless and short-stemmed humeral components, as well as metal-backed, hybrid, and augmented glenoid components. The benefit of these new technologies in terms of patient-reported outcomes is unknown.

Methods:
We reviewed 114 articles presenting preoperative and postoperative values for commonly used patient-reported metrics. The results were analyzed to determine whether patient outcomes have improved over the 20 years during which new technologies became available.

Results:
The analysis did not identify evidence that the results of TSA were statistically or clinically improved over the 2 decades of study or that any of the individual technologies were associated with significant improvement in patient outcomes.

Conclusions:
Additional research is required to document the clinical value of these new technologies to patients with glenohumeral arthritis.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Isolation, Screening and Antibiotic Sensitivity of Pseudomonas species from Kelana Jaya Lake Soil in Selangor Malaysia
Authors: Ahmed Idris A. , Aljondi Abdalati I , Alabed Alabed Ali A. , Al-Mahdi Abdullah Y. , Abdsalam Rasheed 
Published: February 2021

Pathogenic microorganisms from hospitals, communities, and the environment remain great threats to human health. The increasing concern about antibiotic resistance has also necessitated the search for robust alternatives. Therefore, this study aims to isolate, screen and evaluate the antibiotic susceptibility of Pseudomonas aeruginosa isolated from a soil sample taken from northern, western and eastern parts of Kelana Jaya Lake against four antibiotics (gentamycin, tetracycline, ampicillin, and penicillin) on a Mueller-Hinton Agar media plate. Pseudomonas identification was done by using API 20 kit. Disc diffusion was employed as well as the oxidase test. From the positive oxidase result, the isolated bacteria were identified as Burkholderia cepacia (97.6% ID), Pseudomonas aeruginosa (99.5-99.9% ID), and Pseudomonas fluorescent (75.9% ID). Only Pseudomonas aeruginosa isolates were further evaluated for antibiotic susceptibility tests. The result showed that P. aeruginosa was susceptible to only three antibiotics (gentamycin, tetracycline, and penicillin) showing a clear zone of inhibition while it was resistant to only ampicillin with no zone of inhibition. Soil isolates are potential sources for the development of effective antibiotics against resistant bacteria.
Keywords: Antibiotics; Bacterial resistance; Sensitivity, Pseudomonas
Studying the Magnetohydrodynamics for Williamson Fluid with Varying Temperature and Concentration in an Inclined Channel with Variable Viscosity
Authors: Khudair Wissam Sadiq , Dwail Hasan Hadi 
Published: February 2021

In this paper, the Magnetohydrodynamic (MHD) for Williamson fluid with varying temperature and concentration in an inclined channel with variable viscosity has been examined. The perturbation technique in terms of the Weissenberg number to obtain explicit forms for the velocity field has been used. All the solutions of physical parameters of the Darcy parameter , Reynolds number , Peclet number and Magnetic parameter are discussed under the different values as shown in plots.
New Method for Estimation Mebeverine Hydrochloride Drugs Preparation by a New Analyser: Ayah 6S.X1(WSLEDs)-T.- Two Solar Cells Complied with C.F.I.A
Authors: Yassin Omar A. , Al Awadie Nagam S.Turkey 
Published: February 2021

A sensitivity-turbidimetric method at (0-180o) was used for detn. of mebeverine in drugs by two solar cell and six source with C.F.I.A... The method was based on the formation of ion pair for the pinkish banana color precipitate by the reaction of Mebeverine hydrochloride with Phosphotungstic acid. Turbidity was measured via the reflection of incident light that collides on the surface particles of precipitated at 0-180o. All variables were optimized. The linearity ranged of Mebeverine hydrochloride was 0.05-12.5mmol.L-1, the L.D. (S/N= 3) (3SB) was 521.92 ng/sample depending on dilution for the minimum concentration, with correlation coefficient r = 0.9966while was R.S.D% < 1% of 2, 6 mmol.L-1 conc. of Mebeverine hydrochloride. The method is used successfully for three different of target drugs in three different pharmaceutical formulations. A comparison using t-test was studied. It was shown that there is no significant difference between two values.
Is food frequency questionnaire a valid tools to assess intake of folate and vitamin B12 in Azar cohort population?
Authors: Azimi Sona , Faramarzi Elnaz , Sarbakhsh Parvin , Ostadrahimi Alireza 
Published: February 2021

Abstract
Background: Repeated 24-hour recalls and diet diaries are the most dietary methods, which have been used as gold standards in food frequency questionnaire (FFQ ) validation studies. But associated random errors between the FFQ and these two dietary assessment methods can result in flawed estimates of validity. Therefore, evaluation biochemical indices have been considered as a reference method in validation studies.Objective: The aim of this study was to evaluate the validity of the FFQ by comparing the estimated intakes of folate and vitamin B12 with corresponding biochemical markers. Methods: Participants were 95 healthy adults from Azar Cohort Study. We compared folate and vitamin B12 intakes of food frequency questionnaire with their concentrations in blood specimens. Serum folate and vitamin B12, and of red blood cell folate concentrations, were determined using electrochemiluminescence immunoassay method respectively. Results: Spearman correlation coefficients between dietary folate and corresponding biomarkers (serum and RBC folate) concentrations were 0.04 (P-value = 0.65), 0.06 ( P-value = 0.52) respectively. There was no correlation between dietary vitamin B12 and serum concentrations of this vitamin, whether in crude or energy-adjusted model in the total population studied(r = - 0.134 , p = 0.19 in crude model and r = -0.137, p = 0.18 in energy-adjusted model ). According to the findings of this study, 64.51, 60.21 and 54.83 percent of studied population were in the same/adjacent quartiles of dietary folate-serum folate, dietary folate-red blood cell folate and dietary vitamin B12-serum vitamin B12 respectively.Conclusion: According to our results, it seems that this FFQ may not be a reliable tool to assess intakes of folate and vitamin B12. Therefore, further studies with large sample size are needed to achieve more clear results.
Solving the pan evaporation process complexity using the development of multiple mode of neurocomputing models
Authors: Ghorbani Mohammad Ali , Jabehdar Milad Alizadeh , Yaseen Zaher Mundher , Inyurt Samed 
Published: February 2021

Abstract
Finding an accurate computational method for predicting pan evaporation (EP), can be useful in the application of these methods for the development of sustainable agricultural systems and water resources management. In the present study, the proposed hybrid method called Multiple Model-Support Vector Machine (MM-SVM) with the aim of increasing the accuracy of EP prediction on a monthly scale (EPm) in two meteorological stations (Ardabil and Khalkhal) using the output of artificial intelligence (AI) models (i.e., artificial neural network (ANN) and support vector machine (SVM)) were evaluated. The results of intelligent models using several statistical indices (i.e., root mean square error (RMSE), mean absolute error value (MAE), Kling-Gupta (KGE) and coefficient of determination (R2)) and with the help of case visual indicators Were compared. According to the results of evaluation indicators in the test phase, two models MM-SVM-6 and ANN-5 with (RMSE, MAE, KGE and R2 equal to 1.088, 0.761, 0.79, 0.54 mm. month− 1, 0.819, 0.903 and 0.939, 0.962) and with three input variables, were introduced as the top models in Ardabil and Khalkhal stations, respectively. The proposed hybrid model (MM-SVM) was able to use its multi-model strategy with inputs predicted by independent models, its power to predict EPm in scenarios where there is a high correlation between its components with EPm, in a feasible state Accept to show. So that the incremental, constant and decreasing modes in EPm prediction accuracy by this hybrid model under the above conditions (especially in Ardabil station) were quite clear. Therefore, the results of the proposed and superior models in the present study can help local stakeholders in discussing water resources management.
Enhanced production of bioactive compound in the callus culture of Glycyrrhiza glabra L. with the improved biomass accumulation
Authors: Jaiswal Nancy , Verma Yashodhara , Misra Pragati 
Published: February 2021

Abstract
Licorice ( Glycyrrhiza glabra ) of Fabaceae family is known to have wide range of medicinal properties due to the metabolites found in the plant’s tissue. Callus cultures from Glycyrrhiza glabra were previously initiated in vitro using leaf as an explant. The current study was designed in a way to examine the possible role of different elicitors concentrations on the stimulation of biomass and their effects on different metabolite content such as total carbohydrates, protein, proline, phenol, alkaloid, flavonoid and glycyrrhizin. Elicitation with different concentration of elicitors increased the biomass and metabolite content in callus culture of G. glabra at different rates. The optimum concentration of adenine sulphate for maximum biomass accumulation (16.79 g/flask) was found to be at 50 mg/l on the incubation of 20 th days. Adenine sulphate as well as putrescine was also found to stimulate the different metabolite content to 3-4 folds in the callus cultures as compared to that of control. Results showed that the metabolite content and antioxidant enzyme of Glycyrrhiza glabra can be enhanced by appropriate forms of elicitation.
Methane Production Potential of Rumen Pretreated Lignocellulosic Wastes
Authors: KURT GOKCE , Doluk Rumeysa , Yoruklu Hulya Civelek , Demir Ahmet , Ozkaya Bestami 
Published: February 2021

Abstract
Bioenergy production from lignocellulosic biomass is challenging due to its structure and a pretreatment is required before methane production. In this study, biological pretreatment by using rumen microorganisms was applied for different types of lignocellulosic wastes: wheat straw, cotton stalk, reeds and sunflower stalk. The reactors were pretreated for 2, 5, 10, 15 and 20 days. After the pretreatment stages and gas measurements were done, reactors were separated into two phases as lower solid phase and upper liquid phase. The reactors were installed for the methanation stage, gas measurements were made at regular intervals and graphs were drawn using the cumulative results. Modified Gompertz equation was used to estimate potential biogas production. According to the results, the reactor containing 5 days pretreated wheat straw became prominent among the other reactors in terms of biogas and methane production with 163 ml and 102 ml, respectively. It was followed by 20 days pretreated reeds with 104 ml biogas and 80 ml methane, 2 days pretreated sunflower stalk with 88 ml biogas and 52 ml methane, and 2 days pretreated cotton stalk with 87 ml biogas and 50 ml methane.
Differential functional connectivity of insular subdivisions in de novo Parkinson’s Disease with mild cognitive impairment
Authors: Pan Chenxi , Ren Jingru , Li Lanting , Li Yuqian , Xu Jianxia , Xue Chen , Hu Guanjie , Yu Miao , Chen Yong , Zhang Li , Zhang Wenbing , Hu Xiao , Sun Yu , Chen Jiu , Liu Weiguo 
Published: February 2021

Abstract
The insula, consisting of functionally diverse subdivisions, plays a significant role in Parkinson’s disease (PD)-related cognitive disorders. However, the functional connectivity (FC) patterns of insular subdivisions in PD remain unclear. Our aim is to investigate the changes in FC patterns of insular subdivisions and their relationships with cognitive domains. Three groups of participants were recruited in this study, including PD patients with mild cognitive impairment (PD-MCI, n = 25), PD patients with normal cognition (PD-NC, n = 13), and healthy controls (HCs, n = 17). Resting-state functional magnetic resonance imaging (rs-fMRI) was used to investigate the FC in insular subdivisions of the three groups. Moreover, all participants underwent a neuropsychological battery to assess cognition so that the relationship between altered FC and cognitive performance could be elucidated. Compared with the PD-NC group, the PD-MCI group exhibited increased FC between the left dorsal anterior insular (dAI) and the right superior parietal gyrus (SPG), and altered FC was negatively correlated with memory and executive function. Compared with the HC group, the PD-MCI group showed significantly increased FC between the right dAI and the right median cingulate and paracingulate gyri (DCG), and altered FC was positively related to attention/working memory, visuospatial function, and language. Our findings highlighted the different abnormal FC patterns of insular subdivisions in PD patients with different cognitive abilities. Furthermore, dysfunction of the dAI may partly contribute to the decline in executive function and memory in early drug-naïve PD patients.
Identification of minimal hepatic encephalopathy based on dynamic functional connectivity
Authors: Cheng Yue , Zhang Gaoyan , Zhang Xiaodong , Li Yuexuan , Li Jingli , Zhou Jiamin , Huang Lixiang , Xie Shuangshuang , Shen Wen 
Published: February 2021

Abstract
To investigate whether dynamic functional connectivity (DFC) metrics can better identify minimal hepatic encephalopathy (MHE) patients from cirrhotic patients without any hepatic encephalopathy (noHE) and healthy controls (HCs). Resting-state functional MRI data were acquired from 62 patients with cirrhosis (MHE, n=30; noHE, n=32) and 41 HCs. We used the sliding time window approach and functional connectivity analysis to extract the time-varying properties of brain connectivity. Three DFC characteristics (i.e., strength, stability, and variability) were calculated. For comparison, we also calculated the static functional connectivity (SFC). A linear support vector machine was used to differentiate MHE patients from noHE and HCs using DFC and SFC metrics as classification features. The leave-one-out cross-validation method was used to estimate the classification performance. The strength of DFC (DFC-Dstrength) achieved the best accuracy (MHE vs. noHE, 72.5%; MHE vs. HCs, 84%; and noHE vs. HCs, 88%) compared to the other dynamic features. Compared to static features, the classification accuracies of the DFC-Dstrength feature were improved by 10.5%, 8%, and 14% for MHE vs. noHE, MHE vs. HC, and noHE vs. HCs, respectively. Based on the DFC-Dstrength, seven nodes were identified as the most discriminant features to classify MHE from noHE, including left inferior parietal lobule, left supramarginal gyrus, left calcarine, left superior frontal gyrus, left cerebellum, right postcentral gyrus, and right insula. In summary , DFC characteristics have a higher classification accuracy in identifying MHE from cirrhosis patients. Our findings suggest the usefulness of DFC in capturing neural processes and identifying disease-related biomarkers important for MHE identification.
Optimal allocation of CO2 emission quotas at the city level in Bohai Rim Economic Circle based on multi-objective decision approach
Authors: Li Zhiyuan , Chen Huadun , Wang Juan , Zhao Tao 
Published: February 2021

Abstract
As the most developed city circle in northern China, allocating CO2 emission quotas at the Bohai Rim Economic Circle (BREC) city level is essential for developing specific abatement policies. Thus, with reflecting multi-principles (fairness, efficiency, sustainability, and feasibility), this paper formulates the CO2 emission quotas allocation among cities in BREC in 2030 based on the multi-objective decision approach. We first propose three allocation schemes based on the principles of fairness, efficiency, and sustainability, which are conducted by entropy method, zero-sum gains data envelopment (ZSG-DEA) model, and CO2 sequestration share method, respectively. Then, the CO2 allocation satisfaction is defined and used to measure the feasibility principle which is integrated as the objective function of the multi-objective decision model together with three allocation schemes to obtain the optimal allocation results. The results show that cities with large energy consumption and less CO2 sequestration capacity, such as Tianjin, Handan, and Tangshan, experience a decrease in the emission quota shares from 2017 to 2030, indicating that these cities would undertake large emissions reduction obligations. Conversely, there is an increase in the shares of CO2 emission quotas when it comes to Beijing, Chengde, and Dalian, whose GDP, population, and CO2 sequestration capacity are relatively large. Sensitivity analysis shows that Beijing, Zibo, and Jinan are more sensitive to minimum satisfaction changes, and the total satisfaction experiences an increase first and declines thereafter. Based on the results above, cities with large pressure to reduce CO2 emissions should not only promote the economic development, but also improve the capacity of CO2 sequestration by enhancing environmental protection to realize emission reduction targets.
Soil microbes and oxygen influence the changes in bacterial community composition during swine carcass decomposition
Authors: Miguel Michelle , Kim Seon Ho , Lee Sang Suk , Cho Yong Il 
Published: February 2021

Abstract
Background

Carcass decomposition is influenced by various factors such as temperature, humidity, microorganisms, invertebrates, and scavengers. Soil microbes play a significant role in the decomposition process. In this study, we investigated the changes in the bacterial community during carcass decomposition in soil with an intact microbial community and soil which was sterilized decomposed with and without oxygen access using 16s rRNA metagenomic sequencing.
Results

Based on the 16S rRNA metagenomic sequencing, a total of 988 operational taxonomic units (OTUs) representing 16 phyla and 533 genera were detected. The bacterial diversity varied across the based on the alpha diversity indices. The bacterial composition in the unsterilized soil – aerobic condition (U_A) and unsterilized soil – anaerobic condition (U_An) set-ups have higher alpha diversity than the other burial set-ups. Beta diversity analysis revealed a close association in the samples according to the burial type and decomposition day. Firmicutes was the dominant phylum across all samples regardless of the burial type and decomposition day. The bacterial community composition changed throughout the decomposition process in all burial set-up. Meanwhile, the genus Bacillus dominated the bacterial community towards the end of decomposition period.
Conclusions

Our results showed that bacterial community composition changed during carcass decomposition and was affected by the soil and oxygen access, with microorganisms belonging to phylum Firmicutes dominating the community.