bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dissection of Closely Linked QTLs Controlling Grain Size in Rice
Authors: Xue Pao , Chen Yu-yu , Wen Xiao-xia , Wang Bei-fang , Yang Qin-qin , Gong Ke , Kang Yi-wei , Sun Lian-ping , Yu Ping , Cao Li-yong , Zhang Ying-xin , Zhan Xiao-deng , Cheng Shi-hua 
Published: July 2021

Abstract
Grain size is a key constituent of grain weight and appearance in rice. However, insufficient attention has been paid to the small-effect QTLs on grain size. In the present study, residual heterozygous populations were developed for mapping two genetically linked small-effect QTLs for grain size. After genotyping and phenotyping of five successive generations, qGS7.1 was dissected into three QTLs and two were selected for further analysis. qTGW7.2a was finally mapped into a 21.10-kb interval containing four annotated candidate genes. Transcript levels assay showed that the expression of candidates LOC_Os07g39490 and LOC_Os07g39500 were significantly reduced in the NIL- qTGW7.2a BG1 . Cytological observation indicated that qTGW7.2a regulated grain width through controlling cell expansion. Use the same strategy, qTGW7.2b was fine mapped into a 52.71-kb interval, showing a significant effect on grain length and width with opposite allelic directions but little on grain weight. Our study provides new genetic resources for yield improvement and fine-tunes of grain size in rice.
f-Slip: An Efficient Privacy-Preserving Data Publishing Framework for 1: M Microdata with Multiple Sensitive Attributes.
Authors: J Jayapradha , M Prakash 
Published: July 2021

Abstract
Privacy of the individuals plays a vital role when a dataset is disclosed in public. Privacy-preserving data publishing is a process of releasing the anonymized dataset for various purposes of analysis and research. The data to be published contain several sensitive attributes such as diseases, salary, symptoms, etc. Earlier, researchers have dealt with datasets considering it would contain only one record for an individual [1:1 dataset], which is uncompromising in various applications. Later, many researchers concentrate on the dataset, where an individual has multiple records [1:M dataset]. In the paper, a model f-slip was proposed that can address the various attacks such as Background Knowledge (bk) attack, Multiple Sensitive attribute correlation attack (MSAcorr), Quasi-identifier correlation attack(QIcorr), Non-membership correlation attack(NMcorr) and Membership correlation attack(Mcorr) in 1:M dataset and the solutions for the attacks. In f -slip, the anatomization was performed to divide the table into two subtables consisting of i) quasi-identifier and ii) sensitive attributes. The correlation of sensitive attributes is computed to anonymize the sensitive attributes without breaking the linking relationship. Further, the quasi-identifier table was divided and k-anonymity was implemented on it. An efficient anonymization technique, frequency-slicing (f-slicing), was also developed to anonymize the sensitive attributes. The f -slip model is consistent as the number of records increases. Extensive experiments were performed on a real-world dataset Informs and proved that the f -slip model outstrips the state-of-the-art techniques in terms of utility loss, efficiency and also acquires an optimal balance between privacy and utility.
Coronally Advanced Flap With Connective Tissue Graft For Treating Orthodontic-Associated Miller Class III Gingival Recession of The Lower Incisors: A One-Year Retrospective Study
Authors: Weinberg Evgeny , Kolerman Roni , Cohen Omer , Sebaoun Alon , Slutzkey Gil 
Published: July 2021

Abstract
Aims
To assess the clinical outcome (after one year) of coronally advanced flap combined with connective tissue graft for the treatment of orthodontic-associated Miller Class III gingival recession of the lower incisors.
Materials and methods
This study included 15 patients who had undergone orthodontic treatment prior to development of recession. Measurements of recession depth, recession width, probing depth, and width of keratinized tissue were performed clinically immediately before surgery and after one year. In addition, digital measurements of recession depth, recession width, and root coverage esthetic score were performed on intraoral photographs.
Results
Significant reduction was observed for probing depth, recession depth, and recession width at one year, with significant increase in width of keratinized tissue. Mean root coverage was 83 ± 24% for recession depth, while complete root coverage was achieved in 10 out of 21 recessions (48%). The average root coverage esthetic score at 12 months was 7.1 ± 2.6. An interaction was found between initial recession depth and mean root coverage.
Conclusions
Within the limitations of this study, our results confirm that combination of coronally advanced flap and connective tissue graft is effective in reducing post-orthodontic Miller Class III recessions of the mandibular incisors with a concomitant increase in width of keratinized tissue.
Clinical Relevance
These findings suggest that combination of coronally advanced flap with connective tissue graft may significantly improve post-orthodontic Miller Class III recessions of the mandibular incisors, even when the correction of the tooth malposition is unattainable.
Salivary Gland Ultrasonography In Primary Sjögren's Syndrome From Diagnosis To Clinical Stratification: A Multicentre Study
Authors: Zhang Xia , Feng Ruiling , Zhao Jinxia , Wang Yu , He Juan , Liu Li , Cheng Yongjing , Yao Haihong , Tang Sumei , Chen Jiali , Zhang Shanshan , Zhang Zhiyi , Wang Qingwen , He Jing , Li Zhanguo 
Published: July 2021

Abstract
Background: To determine the diagnostic accuracy of major salivary gland ultrasonography (SGUS) in primary Sjögren’s syndrome (pSS) using the novel Outcome Measures in Rheumatology Clinical Trials (OMERACT) scoring system in a large-scale multicentre study.Methods: SGUS was conducted for 246 pSS patients, 140 control subjects with conditions other than SS and 27 healthy control subjects. The echostructure features from the parotid and submandibular glands on both sides were graded using the novel OMERACT scoring system. Receiver operating characteristic curves were used to describe the diagnostic accuracy of the scoring system for pSS. The associations between the SGUS and disease characteristics were analysed to evaluate the clinical value of SGUS for pSS.Results: The US scores in the pSS group were significantly higher than those in the non-pSS group (P < 0.001). The level of diagnostic accuracy was comparable with the scores of all four glands (AUC=0.908) when only the parotid and submandibular glands on either side were scored (AUC=0.910, 0.904, respectively). The optimal cut-off value for the parotid and submandibular glands was 4, with maximal sensitivity (75.6% and 77.2%, respectively) and specificity (91.6% and 92.2%, respectively). The pSS patients with positive SGUS results presented a longer disease duration, parotid enlargement, dental loss and higher levels of serological markers, such as anti-SSA, anti-SSB, positive RF, IgG and γ-globulin%. Conclusions: SGUS with the OMERACT scoring system yields high sensitivity and specificity, demonstrating high diagnostic feasibility for pSS. The SGUS may have implications for deciding disease severity and treatment efficacy.
Condition-based Maintenance Optimization for Gamma Deteriorating Systems under Performance-Based Contracting
Authors: Zhu Xi , Wen Liang , Li Juan , Song Mingchang , Hu Qiwei 
Published: July 2021

Abstract
As a new form of support contract, performance-based contracting (PBC) has been extensively adopted in industry and manufacturing recent years. However, maintenance optimization problems under PBC have not received enough attention. In order to further expand the application of PBC in the field of maintenance optimization, we investigate the condition-based maintenance (CBM) optimization for gamma deteriorating systems under PBC. Considering the repairable single-component system subject to the gamma degradation process, this paper proposes a CBM optimization model with an objective of maximizing the profit and improving system performance at a lower cost under PBC. In the proposed CBM model, first inspection interval is considered to reduce the inspection frequency and the cost. Then, a particle swarm algorithm (PSO) and related solution procedure are presented in order to solve the multiple decision variables in our proposed model. Finally, a numerical example is provided to illustrate the applicability and effectiveness of our proposed model. Through comparing the proposed policy with the conventional one, the superiority of our proposed policy is proved, which can bring more profits to providers and improve performance. Sensitivity analysis is conducted to investigate the effect of corrective maintenance cost and time required for corrective maintenance to optimization policy. Comparative study is given to illustrate the necessity of distinguishing first inspection interval and repeat inspection interval.
Calcaneal Fracture Maps And Their Determinants
Authors: YU Qingwen , LI Zhirui , LI Jiantao , YU Qinghua , ZHANG Licheng , LIU Daohong , ZHANG Mingzhu , TANG Peifu 
Published: July 2021

Abstract
Background: Calcaneal fractures are associated with numerous complications and a poor prognosis with significant long-term quality-of-life issues, regardless of treatment. Therefore, in-depth research into the underlying mechanism of calcaneal fracture is still of great interest, with the goal of improving treatment for patients suffering from this condition. This study aimed to investigate the relationship between the distribution of calcaneal fracture lines and their determinants, especially those related to the internal structure of the calcaneus. This goal was achieved by fracture maps created by copying and stacking fracture lines as viewed from six surfaces of the calcaneus.Methods: A total of 210 consecutive patients with 226 calcaneal fractures were retrospectively analyzed. Fracture lines were copied from a reduced 3D calcaneal fracture model and stacked on calcaneal templates to generate fracture maps. The stacked images of six calcaneus surfaces were also converted into spectrograms with MATLAB to highlight the fracture frequency at specific locations.Results: There were four concentrated bands of fracture lines and two fracture hot spots on the superior surface. Three dense bands of fractures were observed on the medial surface, and four fracture bands were observed lateral to the calcaneus. Vertical fracture lines dominated the anterior calcaneal fracture map. On the posterior surface, the fracture lines appeared to be centered superiorly. All fracture locations coincided with the interfaces between the trabecular groups.Conclusions: The fracture maps showed fracture patterns and recurrent fracture zones on all calcaneal surfaces. The shape of the talus and calcaneus and the architecture within the calcaneus, especially the arrangement of the trabeculae, are essential factors for calcaneal fractures.
Alpha-synuclein levels modulate seeding and aggregation in cultured cells
Authors: Vasili Eftychia , Dominguez-Meijide Antonio , Flores-León Manuel , Al-Azzani Mohammed , Kanellidi Angeliki , Melki Ronald , Stefanis Leonidas , Outeiro Tiago Fleming 
Published: July 2021

Abstract
Background

Parkinson's disease is a progressive neurodegenerative disorder characterized by the accumulation of misfolded alpha-synuclein in intraneuronal inclusions known as Lewy bodies and Lewy neurites. Multiple studies strongly implicate the levels of alpha-synuclein as a major risk factor for the onset and progression of Parkinson’s disease. alpha-Synuclein pathology spreads progressively throughout interconnected brain regions but the precise molecular mechanisms underlying alpha-synuclein spreading and accumulation remain obscure.
Methods

Here, using stable cell lines expressing alpha-synuclein, we examined the correlation between endogenous alpha-synuclein levels and the seeding propensity by exogenous alpha-synuclein pre-formed fibrils. We applied biochemical approaches and imaging methods in stable cell lines expressing alpha-synuclein and in primary neurons to determine the impact of alpha-synuclein expression levels on seeding and aggregation.
Results

Our results indicate that alpha-synuclein levels define the pattern and severity of aggregation and the extent of p-alpha-synuclein deposition, likely explaining the selective vulnerability of different cell types in synucleinopathies.
Conclusions

The elucidation of the cellular processes involved in the pathological aggregation of alpha-synuclein will enable the identification of novel targets and the development of therapeutic strategies for Parkinson's disease and other synucleinopathies.
Liver Fibrosis Indices Associated with Substantial Hematoma Expansion in Chinese Patients with Primary Intracerebral Hemorrhage
Authors: Wang Huan , Wu Jiongxing , Yang Xue , Liu Junfeng , Tao Wendan , Hao Zilong , Wu Bo , Liu Ming , Zhang Shihong , Wang Deren 
Published: July 2021

Abstract
Background: Whether liver fibrosis is associated with increased risk for substantial hematoma expansion (HE) after intracerebral hemorrhage (ICH) is still uncertain. We evaluated the association between various liver fibrosis indices and substantial HE in a Chinese population with primary ICH.Methods: Primary ICH patients admitted to West China Hospital within 24 hours of onset between January 2015 and June 2018 were consecutively enrolled. Six liver fibrosis indices were calculated, including aspartate aminotransferase (AST)-platelet ratio index (APRI), AST/alanine aminotransferase ratio-platelet ratio index (AARPRI), fibrosis-4 (FIB-4), modified fibrosis-4 (mFIB-4), fibrosis quotient (FibroQ) and Forns index. Substantial HE was defined as an increase of more than 33% or 6 mL from baseline ICH volume. The association of each fibrosis index with substantial HE was analyzed using binary logistic regression. Results: Of 436 patients enrolled, about 85% showed largely normal results on standard hepatic assays and coagulation parameters. Substantial HE occurred in 115 (26.4%) patients. After adjustment, AARPRI (OR 1.26, 95% CI 1.00-1.57) and FIB-4 (OR 1.15, 95% CI 1.02-1.30) were independently associated with substantial HE in ICH patients within 24h of onset, respectively. In ICH patients within 6h of onset, each of the following indices was independently associated with substantial HE: APRI (OR 2.63, 95% CI 1.30-5,34), AARPRI (OR 1.55, 95% CI 1.09-2.22), FIB-4 (OR 1.35, 95% CI 1.08-1.69), mFIB-4 (OR 1.09, 95% CI 1.01-1.18), FibroQ (OR 1.08, 95% CI 1.00-1.16) and Forns index (OR 1.37, 95% CI 1.10-1.69). Conclusions: Liver fibrosis indices are independently associated with higher risk of substantial HE in Chinese patients with primary ICH, which suggesting that subclinical liver fibrosis could be routinely assessed in such patients to identify those at high risk of substantial HE.
Controls on the Effect of Impact Scraping on High-position and Long-runout Landslides
Authors: Gao Yang , Yin Yueping , Li Bin , Gao Haoyuan , Li Zhuang 
Published: July 2021

Abstract
Landslides in mountainous areas act as an important control on morphological landscape evolution and represent a major natural hazard. The dynamic characteristics of a landslide directly relate to the distance it traveled and the scale of the resulting disaster. Based on extensive field investigations, we explored the effect of impact scraping on high-position landslides. During a rapid landslide, impact scraping amplifies the volume of the landslide and the size of the area affected by the landslide. Without acknowledging this effect, it is easy to underestimate the risk presented by a given potential landslide. In this study, we investigate the impact scraping of landslides that travel for significant distances both vertically (high-position) and horizontally (long-runout). There are four developmental stages of high-position, long-runout landslides: high-position shearing, gravitational acceleration, impact scraping, and debris deposition. Impact scraping amplifies the scale of the disaster by drastically increasing the volume of the landslide debris. After accounting for the effect of impact scraping, the total volume of the landslide exhibits a strong correlation with its travel distance. Additionally, the material properties of the erodible layer influence the landslide mobility. High-position and long-runout landslides have multiple scraping modes, including the embedding and excavation mode, the entrainment mode, the pushing and sliding mode, and the impact and splashing mode. In this study, we aim to provide insight that will improve the disaster modeling and risk assessment of high-position landslides, as well as to offer theoretical support for high-position and long-runout landslide dynamics research, disaster prevention and mitigation, and first responder rescue operation planning.
Predictors of life satisfaction and healthy aging in Brunei: A gender comparative study
Authors: Rahman Hanif Abdul , Tengah Armah , Yusof Yusnani Mohd , Slesman Ly , Hoon Chang-Yau , Abdul-Mumin Khadizah H. 
Published: July 2021

Abstract
Objective

Research on aging has received considerable attention in medicine, public health and social sciences in recent decades. This study aimed to investigate predictors of life satisfaction and healthy aging with focus on gender differences among elderly population in Brunei.
Methods

Cross-sectional study on elderly population aged 50 to 75, recruited by proportionate sampling. Multivariate linear regression analysis stratified by gender, was applied.
Results

45.6% of the variance explaining life satisfaction of elderly women were strongly associated with self-perceived health, social relationship, and education level. For elderly men, 26.3% of the variance of life satisfaction was predicted by physical functioning or disability, and social relationship. Musculoskeletal discomfort, and mental and emotional issues were significantly higher in elderly women.
Conclusions

This report benefits policymakers and related stakeholders for care of elderly by maintaining or further promoting social interactions, active engaging elderly in health maintenance, and physical and mental functioning.
kinCSM: using graph-based signatures to predict small molecule CDK2 kinase inhibitors
Authors: Zhou Yunzhuo , Al-Jarf Raghad , Alavi Azadeh , Nguyen Thanh Binh , Rodrigues Carlos H. M. , Pires Douglas E. V. , Ascher David B. 
Published: July 2021

Abstract
Protein phosphorylation acts as an essential on/off switch in many cellular signalling pathways, regulating protein function. This has led to ongoing interest in targeting kinases for therapeutic intervention. Computer-aided drug discovery has been proven a useful and cost-effective approach for facilitating prioritisation and enrichment of screening libraries. Limited effort, however, has been devoted to developing and tailoring in silico tools to assist the development of kinase inhibitors and providing relevant insights on what makes potent inhibitors. To fill this gap, here we developed kinCSM, an integrative computational tool capable of accurately identifying potent cyclin-dependent kinase 2 (CDK2) inhibitors, quantitatively predicting CDK2 ligand-kinase inhibition constants (pKi) and classify inhibition modes without kinase information. kinCSM predictive models were built using supervised learning and leveraged the concept of graph-based signatures to capture both physicochemical properties and geometry properties of small molecules. CDK2 inhibitors were accurately identified with Matthew’s Correlation Coefficients of up to 0.74, and inhibition constants predicted with Pearson’s correlation of up to 0.76, both with consistent performances of 0.66 and 0.68 on non-redundant blind tests, respectively. kinCSM was also able to identify the potential type of inhibition for a given molecule, achieving Matthew’s Correlation Coefficient of up to 0.80 on cross-validation and 0.73 on blind test. Analysing the molecular composition of kinase inhibitors revealed enriched chemical fragments in potent CDK2 inhibitors and different types of inhibitors, which provides insights into the molecular mechanisms behind ligand-kinase interactions. We believe kinCSM will be an invaluable tool to guide future kinase drug discovery. To aid the fast and accurate screening of potent CDK2 kinase inhibitors, we made kinCSM freely available online at http://biosig.unimelb.edu.au/kin_csm/.
Is the Deep-Learning Technique a Completely Alternative for the Hydrological Model?: A Case Study on Hyeongsan River Basin, Korea
Authors: Kwak Jaewon , Han Heechan , Kim Soojun , Kim Hung Soo 
Published: July 2021

Abstract
It is no doubt that the reliable runoff simulation for proper water resources management is essential. In the past, the runoff was generally modeled from hydrologic models that analyze the rainfall-runoff relationship of the basin. However, since techniques have developed rapidly, it has been attempted to apply especially deep-learning technique for hydrological studies as an alternative to the hydrologic model. The objective of the study is to examine whether the deep-learning technique can completely replace the hydrologic model and show how to improve the performance of runoff simulation using deep-learning technique. The runoff in the Hyeongsan River basin, South Korea from 2013 to 2020 were simulated using two models, 1) Long Short-Term Memory model that is a deep learning technique widely used in the hydrological study and 2) TANK model, and then we compared the runoff modeling results from both models. The results suggested that it is hard to completely replace the hydrological model with the deep-learning technique due to its simulating behavior and discussed how to improve the reliability of runoff simulation results. Also, a method to improve the efficiency of runoff simulation through a hybrid model which is a combination of two approaches, deep-learning technique and hydrologic model was presented.
Effect of Al2O3 Coatings on Microstructural and Optoelectronic Properties of Porous Si/ SnO2 Composites.
Authors: ghrib mondher , GHRIB Basma , Slama Sonia Sonia Ben , Dimassi Wisem , Gaidi Mounir , Ouertani Rachid , ezzaouia Hatem 
Published: July 2021

Abstract
In this work, Al2O3 coating effect on morphology, structure and optoelectronic properties of Si/SnO2/Al2O3 porous matrix composites (PMCs) were investigated. A three-staked thin layers deposited on a ⟨100⟩ oriented silicon substrate made these composites. First, porous silicon layers were achieved by electrochemical etching method. Then Al2O3 and SnO2 layers were successively deposited by physical and chemical vapor deposition, respectively. Morphological and micro-structural properties of the as prepared composites were evaluated by Scanning electron microscope, energy dispersive X-ray spectroscopy and X-ray diffraction. Results proved that Al2O3 concentration alters notably the porosity of the PMCs.Variable angle spectroscopic ellipsometry (SE) revealed a high correlation between the optical constants (n, k) and the PMC microstructure. Impedance spectroscopy revealed a semiconductor-metallic transition at high frequency in the temperature range between 340 to 410°C.