bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation and Characterization of Biocomposite Based on Chitosan and Biomimetic Hydroxyapatite Derived from Natural Phosphate Rocks
Authors: Brahimi Salim , Ressler Antonia , Boumchedda Khaled , Hamidouche Mohamed , Kenzour Abdelghani , Djafar Rabah , Antunović Maja , Bauer Leonard , Hvizdoš Pavol , Ivanković Hrvoje 
Published: May 2021

Abstract
Highly-porous composite structures based on chitosan (CS) and hydroxyapatite (HA) have been prepared using the freeze-gelation method. Biomimetic HA powder was first synthesized by a wet precipitation method using natural phosphate (NP) ore as a source of calcium and phosphorus ions. The powders and scaffolds have been characterized by elemental analysis, Fourier transform infrared spectrometry, X-ray diffraction, Rietveld refinement studies, scanning electron microscopy and cell viability test. The raw precipitated powder was composed of HA and amorphous calcium phosphate (ACP). In the obtained powder Mg2+, SiO42−, Sr2+, Na+, and Fe2+ ions were detected as a result of using NP mineral as precursor. After heat treatment over 750°C, β-tricalcium phosphate Mg substituted (β-TCMP) was detected. The culture of human embryonic kidney cells indicated non cytotoxicity of the as-prepared powder. CS/HA scaffolds with different weight ratios (100/0; 90/10; 80/20; 70/30) have been prepared. The CS/HA scaffolds have shown highly porous structure with well interconnected pores and homogeneously dispersed HA particles. Swelling capacity measured in physiological conditions has shown that the addition of HA into the CS matrix efficiently decreased the swelling percentage of the CS/HA scaffolds. The results obtained suggest that composite scaffolds prepared using CS and biomimetic HA derived from an abundant raw material may have effective potential as biocompatible materials for bone tissue engineering.
Selected ‘Starter Kit’ energy system modelling data for Eritrea (#CCG)
Authors: Cannone Carla , Allington Lucy , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Cronin Jen 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Eritrea, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Mali (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Cronin Jen 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Mali, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for South Sudan (#CCG)
Authors: Cannone Carla , Allington Lucy , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for South Sudan, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Togo (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Togo, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
An Assessment of Morphological and Pathological Changes in Paravertebral Muscle Degeneration using Imaging and Histological Analysis
Authors: Zhu Ding-Chao , Lin Jia-Hao , Xu Jia-Jing , Guo Qiang , Wang Yi-Han , Jiang Chao , Lu Hui-Gen , Wu Yao-Sen 
Published: May 2021

Abstract
Objective: The high signal of paravertebral muscle (PVM) on T2WI is usually considered to be fatty degeneration. However, it is difficult to distinguish inflammatory edema from fatty degeneration on T2WI. The purpose of this study was to identify different types of PVM high signal in patients with low back pain (LBP) through MRI and histology.Methods: Seventy patients with LBP underwent MRI. The signal change of multifidus both on T2WI and fat suppression image (FSI) was quantified by Image J. Furthermore, 25 of the 70 patients underwent surgery for degenerative lumbar disease and their multifidus were obtained during the operation. Histological analysis of the samples was performed by HE staining. Result: Three types of PVM signal changes were identified from the MRI. Type 1 (n=36) indicated fatty degeneration characterized by a high signal on T2WI and low signal on FSI. High signal on both T2WI and FSI, signifying type 2 meant inflammatory edema (n=9). Type 3 (n=25) showed high signal on T2WI and partial signal suppression on FSI, which meant a combination of fatty degeneration and inflammatory edema. Histological results were consistent with MRI. Among the 25 patients who underwent surgery, type 1 (n=14) showed adipocytes infiltration, type 2 (n=3) showed inflammatory cells infiltration and type 3 (n=8) showed adipocytes and inflammatory cells infiltration. Conclusion: From our results, there are three types of pathological changes in patients with PVM degeneration, which may help to decide on targeted treatments for LBP.
Change in Patellar Cartilage from 2.5 to 4.5 Years Following ACL Reconstruction With and Without Meniscal Pathology
Authors: Wang Xinyang , Bennell Kim L. , Wang Yuanyuan , Fortin Karine , Saxby David J. , Killen Bryce A. , Wrigley Tim V. , Cicuttini Flavia M. , Ginckel Ans Van , Lloyd David G. , Feller Julian A. , Vertullo Christopher , Whitehead Tim , Gallie Price , Bryant Adam L. 
Published: May 2021

Abstract
Background: Anterior cruciate ligament reconstruction (ACLR) together with concomitant meniscal injury are risk factors for the development of tibiofemoral (TF) osteoarthritis (OA), but the potential effect on the patellofemoral (PF) joint is unclear. The aim of this study was to: (i) investigate change in patellar cartilage morphology in individuals 2.5 to 4.5 years after ACLR with or without concomitant meniscal pathology and in healthy controls, and (ii) examine the association between baseline patellar cartilage defects and patellar cartilage volume change.Methods: 32 isolated ACLR participants, 25 ACLR participants with combined meniscal pathology and nine healthy controls underwent knee magnetic resonance imaging (MRI) with 2-year intervals (baseline = 2.5 years post-ACLR). Patellar cartilage volume and cartilage defects were assessed from MRI using validated methods. Results: Both ACLR groups showed patellar cartilage volume increased over 2 years (p < 0.05), and isolated ACLR group had greater annual percentage cartilage volume increase compared with controls (mean difference 3.6%, 95% confidence interval (CI) 1.0%, 6.3%, p = 0.008) and combined ACLR group (mean difference 2.2%, 95% CI 0.2%, 4.2%, p = 0.028). Patellar cartilage defects regressed in the isolated ACLR group over 2 years (p = 0.02). Baseline patellar cartilage defect score was positively associated with annual percentage cartilage volume increase (B = 0.02; 95% CI 0.003, 0.03; p = 0.02) in the pooled ACLR participants. Conclusions: Hypertrophic response was evident in the patellar cartilage of ACLR participants with and without meniscal pathology. Surprisingly, the increase in patellar cartilage volume was more pronounced in those with isolated ACLR. Although cartilage defects stabilise in the majority of ACLR participants, the severity of patellar cartilage defects at baseline influenced the magnitude of the cartilage hypertrophic response over the subsequent ~2 years.
Aspects of Sexual Life, Sexual Orientation and Fertility Desire in a Large Cohort of Individuals With 46,xy Differences of Sex Development
Authors: Batista Rafael Loch , Inácio Marlene , Brito Vinicius Nahime , Gomes Nathália Lisboa , Costa Elaine Maria Frade , Domenice Sorahia , Mendonca Berenice Bilharinho 
Published: May 2021

Abstract
Purpose: To analyze aspects of the sexual life, sexual orientation, and fertility desire among 46,XY DSD people, including those who changed their gender. Methods: It is a cross-sectional study including 127 adults (> 16 years of age) with 46,XY DSD (83 females; 44 males) from a single tertiary center. Results: Sexual fantasies and masturbation practice were more frequent in 46,XY DSD males, whereas orgasm and sexual life satisfaction were similar in both genders. More 46,XY DSD men than women had a long-term romantic relationship. 46,XY DSD women with prenatal androgen exposure reported more fear of being romantically rejected. External genitalia appearance at birth did not impact the sexuality of 46,XY DSD women after surgical genital treatment has been completed. Overall, the sexual life was similar between 46,XY men assigned as males and those who changed to the male gender. Regarding sexual orientation, most self-reported as heterosexual (91% and 92% of women and men, respectively). The desire for fertility had a similar prevalence in both genders, but more women than men considered infertility a barrier to a long-term romantic relationship. A total of 12 (7 males) had children; 10 out of 12 have adopted children. Conclusion: Fertility desire was common among 46,XY DSD people, regardless of gender. Prenatal androgen exposure reduced the desire for motherhood in 46,XY women. 46 XY DSD people who changed from female to male gender presented similar sexual parameters as those assigned as males. Among females, virilized genitalia at birth did not affect sexuality once the surgical treatment is completed.
Tumor Abnormal Protein Detection is An Effective Screening Method for Solid Malignancies
Authors: Zhang Zhihui , Tian Changjun , Zhang Lin , Li Linfang , Gao Mingxin , Li Bai , Fan Hui , Zhang Yongsheng , wu shuhua 
Published: May 2021

Abstract
Background: Detection of tumor abnormal protein (TAP) is a recently developed but not widely used method for screening malignancies. This study is aimed to assess the ability of TAP level in distinguishing solid malignancies. Methods: The TAP levels were compared between malignancies and benign disease patients, and the distinguish ability were evaluated by receiver operating characteristic (ROC) curve analysis. We further analyzed TAP levels in physical examination populations with different genders and age， and compared clinical parameters in TAP positive and negative groups. Results: We found that TAP levels were getting higher from benign to precancerous lesions and to malignancies, and TAP levels were decreased after tumor resection. ROC curve analysis showed that TAP levels might aid to distinguish between malignancies and benign diseases. In the physical examination populations, the positive ratio of TAP was 3.7% (4.6% to female and 3.1% to male), and the TAP levels were higher in female. The TAP levels in populations above 60 year age were higher than those in less than 60 years, which increased with age. The hemoglobin levels were lower in TAP positive populations. Conclusion: TAP was an effective biomarker of screening and following-up for malignancies. There may be some potential links between TAP and hemoglobin, which deserve further studies.
An Autophagy-related Long Non-coding RNA Prognostic Signature for Laryngeal Squamous Cell Carcinoma
Authors: Shen Yujie , Huang Huiying , Huang Qiang , zhou liang 
Published: May 2021

Abstract
Background: Laryngeal squamous cell carcinoma (LSCC) is the second most common malignant tumor in the head and neck. Considering the role of autophagy in tumor development and drug resistance, we investigated the potential prognostic value of autophagy-related long no-coding RNAs (lncRNAs) in LSCC patients. Methods: Autophagy-related lncRNAs were screened out based on the Cancer Genome Atlas (TCGA) database. Subsequently, five autophagy-related lncRNAs with prognostic value were identified through univariate and multivariate Cox regression analysis. Based on these prognosis-related lncRNAs, a risk signature was established, and the patients with LSCC were divided into the low- and high-risk groups. Finally, a nomogram based on the prognosis signature was constructed. Results: The overall survival time of the high-risk group was significantly shorter than that of the low-risk one (p<0.0001). Receiver operating characteristic curve (ROC) analysis was performed to further confirm the validity of the model (ROC of training set: 0.841, ROC of test set: 0.718, ROC of entire set: 0.757). Univariate and multivariate regression analyses demonstrated that ours is an independent prognosis signature of LSCC. The nomogram integrating the five-lncRNA signature and clinical factors was then constructed for clinical application. Conclusion: In summary, our signature of the five autophagy-associated lncRNAs can serve as an effective prognostic indicator for patients with LSCC.
Clinical Significance of Fbxw7 Tumor Suppressor Gene Mutations and Expression in Human Colorectal Cancer: A Systemic Review and Meta-analysis
Authors: Shang Wei , Yan Chuanwang , Liu Ran , Chen Lili , Cheng Dongdong , Hao Liang , Yuan Wenguang , Chen Jingbo , Yang Hui 
Published: May 2021

Abstract
Background: Various studies investigating the clinical significance of FBXW7 mutation and/or expression have yielded inconclusive results in colorectal cancer (CRC) patients. Therefore, the present meta-analysis summarizes previous evidence and evaluates the clinical significance, including the prognostic role, of FBXW7 status in CRCs. Methods: The meta-analysis was conducted by searching the databases of PubMed, China National Knowledge Infrastructure (CNKI), WANFANG data, Web of Science, Embase, and Web of Science. Pooled odds ratios (ORs) and hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated to assess the relationships between FBXW7 status and clinicopathological features and survival in CRC, respectively.Results: Ten studies involving 4199 patients met the inclusion criteria and included in our meta-analysis. FBXW7 mutation/low expression was obviously correlated with advanced T stage (OR = 0.44, 95% CI: 0.27–0.74, P < 0.01) and lymph node metastasis (OR = 1.88, 95% CI: 1.40–2.53, P < 0.01), but was not associated with other parameters. Further investigation found that FBXW7 mutation/low expression predicted poor OS (HR = 1.25, 95% CI: 1.06–1.47, P < 0.01), but not DFS in CRC (HR = 1.04, 95% CI: 0.60–1.82, P = 0.88). Subgroup analysis found that FBXW7 status was obviously correlated with OS in cohorts recruited after 2009 (HR = 1.32, 95% CI: 1.17–1.50, P < 0.01), from eastern Asia (HR = 1.27, 95% CI: 1.04–1.55, P = 0.02), detected by immunohistochemistry/qRT-PCR (HR = 1.39, 95% CI: 1.22–1.59, P < 0.01), and analysed with multivariate method (HR = 1.47, 95% CI: 1.25–1.74, P < 0.01). Conclusions: This study indicates that FBXW7 status, expression level especially, is associated with OS but not DFS in CRC. FBXW7 expression level may function as a prognostic biomarker in CRC.
Genome-wide association mapping in wheat reveals novel QTLs and potential candidate genes involved in resistance to septoria tritici blotch
Authors: Mahboubi Mozghan , Talebi Reza , Mehrabi Rahim , Naji Amir Mohammad , Maccaferri Marco , Kema Gert 
Published: May 2021

Abstract
Septoria tritici blotch (STB) caused by Zymoseptoria tritici is one of the most important foliar diseases of wheat that can lead to significant yield losses worldwide. In this study, we analyzed STB resistance pattern of 185 diverse bread wheat genotypes at the seedling stage in order to confirm known resistance genes or identifying novel putative QTLs conferring resistance to STB. The phenotyping data using 10 Z. tritici isolates showed that large genetic variance exists for STB infection in wheat germplasm. Genome-wide association mapping (GWAS) using CMLM algorithm identified 37 quantitative-trait loci (QTL) for resistance to STB on 17 chromosomes. Most of QTLs overlapped with known STB resistance genes, while GWAS scan revealed several newly identified QTLs on chromosomes 4A, 5D and 6D for resistance to STB. Genome annotation of marker-trait association (MTA) against wheat reference genome revealed 29 MTAs corresponded to the putative genes, which their functional descriptions identifiers included diseases resistance proteins in plants. These MTAs and novel QTLs associated with STB resistance found here, can be used in future wheat breeding programs to recombine different loci for durable resistance to STB.
Quantum-like Gaussian Mixture Model
Authors: Wichert Andreas 
Published: May 2021

Abstract
A new concept of a quantum-like mixture model is introduced. It describes the mixture distribution with the assumption that a point is generated by each Gaussian at the same time. The decision boundary of a quantum-like mixture Gaussian corresponds as well to the separation of probabilities for the switching Kalman filter.
The quantum-like mixture Gaussian can improve the classification accuracy in machine learning by indicating the uncertain points should not be assigned to any class. We will demonstrate the principle by he Gaussian mixture model for classification of the iris data set. The use of this data set in cluster analysis is not common, since the data set only contains two clusters with rather obvious separation.