bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Metempsychosis” and “Marvelous Affinities”: Re-Imagining the Past in the Ilyāḏah by Sulaymān al-Bustānī (1904) and in the Divano di ʿOmar ben al-Fared by Pietro Valerga (1874)
Authors: Benigni Elisabetta 
Published: December 2021

Abstract
This article focuses on the image of the past in two translations produced in the contexts of the Arab Nahḍah and of the Italian Risorgimento. The first translation is the Italian rendering of ʿOmar ibn al-Fāriḍ’s mystical poems, published in 1872 by Pietro Valerga (1821-1903). The second is the Arabic translation of the Iliad, published in 1902 by Sulaymān al-Bustānī (1856-1925). Both translators refer to the past as a translation strategy: Pietro Valerga reads Ibn al-Fāriḍ through the verses of Petrarch and, in his work’s introduction, emphasizes the transmission of medieval Arab poetry to Italy; Sulaymān al-Bustānī reconstructs the world of the Iliad through Arabic poetic tradition and compares Greece to the ǧāhiliyyah (pre-Islamic age). The article sheds light on the potential of translation as a space of re-imagination of the past and invites us to read the works as two distinct, yet akin, attempts to express original interpretations of Italian and Arabic literary histories based on syncretism and cross-cultural translatability.
The Tangut Text of Suiyuan ji and the History of Chan Buddhism in Xixia
Authors: Solonin Kirill , Yongfu Zhang 
Published: December 2021

Abstract
The paper discusses some problems pertaining to the spread of Sinitic Buddhism, especially of the Huayan Chan tradition in Xixia. These include issues of the transmission of the teaching as well as codicological and conceptual problems of the dissemination of the publications of Huayan Chan texts in Xixia. The paper presents evidence that the Chan Buddhist content available to the Tanguts was not limited to Huayan Chan, but included some knowledge of the Song-period Chan Buddhism. The paper introduces the previously unknown Tangut composition Suiyuan ji and discusses its structure as well as aspects of its contents.
“My Selection of Verses Earned Me a (Bad) Reputation!”: A Reflection on Ġhālib’s Published and Unpublished Verses
Authors: Farooqi Mehr Afshan 
Published: December 2021

Abstract
The great nineteenth-century poet Mirzā Asadullāh Ḳhān Ġhālib was a strict editor of his own work. As a result, he excised more than half of the verses when he published his Urdu dīvān in 1841. Most of these so-called rejected verses have been recovered and are available in comprehensive, scholarly editions of Ġhālib’s dīvān. In this paper I have examined the dynamics of selection by comparing and analyzing, verse by verse, Ġhālib’s process of selection. I chose Ġhālib’s published ġhazal that he constructed by cherry-picking verses from two ġhazals. My conclusion is that Ġhālib’s editing was personal. While in some cases it is possible to see the reasons behind making the choice, it seems arbitrary in others.
Climate Change in Court: Overcoming Procedural Hurdles in Transboundary Environmental Cases
Authors: Keller Helen , Pershing Abigail D 
Published: December 2021

Abstract
Climate change and its consequences will likely be the defining human rights challenge of the 21st Century. The European Court of Human Rights is well-placed to help shape the response to this looming crisis. Indeed, the first four applications concerning climate change have recently been filed before the Court. However, the applicants in these pending cases, as well as potential applicants in any future climate cases, will have to overcome significant procedural hurdles to ensure that the Court will hear their arguments on the merits. This article discusses some of the most significant issues that applicants seeking to bring climate cases will face, which include proving exhaustion of domestic remedies, establishing that the applicants have victim status, and demonstrating that the applicants face a significant disadvantage. This article considers how the Court can ensure that these admissibility hurdles do not preclude climate cases from receiving full consideration on the merits.
SPC Mesoscale Analysis Compared to Field-Project Soundings: Implications for Supercell Environment Studies
Authors: Coniglio Michael C. , Jewell Ryan E. 
Published: December 2021

Abstract
A total of 257 supercell proximity soundings obtained for field programs over the central United States are compared with profiles extracted from the SPC mesoscale analysis system (the SFCOA) to understand how errors in the SFCOA and in its baseline model analysis system—the RUC/RAP—might impact climatological assessments of supercell environments. A primary result is that the SFCOA underestimates the low-level storm-relative winds and wind shear, a clear consequence of the lack of vertical resolution near the ground. The near-ground (≤500 m) wind shear is underestimated similarly in near-field, far-field, tornadic, and nontornadic supercell environments. The near-ground storm-relative winds, however, are underestimated the most in the near-field and in tornadic supercell environments. Underprediction of storm-relative winds is, therefore, a likely contributor to the lack of differences in storm-relative winds between nontornadic and tornadic supercell environments in past studies that use RUC/RAP-based analyses. Furthermore, these storm-relative wind errors could lead to an under emphasis of deep-layer SRH variables relative to shallower SRH in discriminating nontornadic from tornadic supercells. The mean critical angles are 5°–15° larger and farther from 90° in the observed soundings than in the SFCOA, particularly in the near field, likely indicating that the ratio of streamwise to crosswise horizontal vorticity is often smaller than that suggested by the SFCOA profiles. Errors in thermodynamic variables are less prevalent, but show low-level CAPE to be too low closer to the storms, a dry bias above the boundary layer, and the absence of shallow near-ground stable layers that are much more prevalent in tornadic supercell environments.

Significance Statement
A total of 257 radiosonde observations taken close to supercell thunderstorms during field programs over the last 25 years are compared with a model-based analysis system (the SFCOA), which is often used for studying supercell thunderstorm environments. We present error characteristics of the SFCOA as they relate to tornado production and distance to the storm to clarify interpretations of environments favorable for tornado production made from past studies that use the SFCOA. A primary result is that the SFCOA underpredicts the speed and shear of the air flowing toward the storm in many cases, which may lead to different interpretations of variables that are most important for discriminating tornadic from nontornadic supercell thunderstorms. These results help to refine our understanding of the conditions that support tornado formation, which provides guidance on environmental cues that can improve the prediction of supercell tornadoes.
Giftedness in Brazil: To what extent does terminology really matter?
Authors: Fleith Denise S. , Pereira Nielsen , Alencar Eunice M. L. S. 
Published: December 2021

For more than 90 years, terminology related to giftedness in Brazil has evolved, proliferating terms used to describe gifted individuals. Terms such as superdotado (the common translation of gifted into Portuguese) may lead lay people to think of gifted students as only those with extremely high ability or extraordinary capabilities and is often used in a way that carries a negative connotation. On the other hand, terms such as high ability student, which is associated with academics, and talented, which suggests artistic endeavors, may not capture the full range of possible areas in which a student can be gifted. We argue that because terminology is important and can influence policy and practice, it is crucial to have clear definitions, but it is even more important to go beyond terms to clarify the phenomenon of giftedness, disseminate relevant research, and inform parents of gifted students and professionals working with these students.
Earning opportunities and informal payment as influencing factors in medical students’ speciality choice
Authors: Mohos András , Frese Thomas , Kolozsvári László , Rinfel József , Varga Albert , Hargittay Csenge , Csatlós Dalma , Torzsa Péter 
Published: December 2021

Abstract
Background
The Hungarian primary care system faces a severe shortage of family physicians. Medical students’ perceptions of family medicine need to be known and medical students need to be given appropriate and comprehensible information about this speciality. The expected future salary is an important factor in career choice. Most of the family doctors are self-employed and the practices have a corrected capitation-type financing. Although the majority of health care services are covered by social health insurance and are provided for the insured patients free of charge, informal payment is an existing phenomenon with different motivations and consequences. This study aimed to investigate medical students’ knowledge about their future earning opportunities and their attitudes towards informal payment.

Methods
A cross sectional survey with a self-administered questionnaire was conducted. Each of the four Hungarian medical universities were represented by their medical students who attended family medicine lectures in person from December 2019 to April 2020. The students were asked about their career plans, about their estimations of current and ideal expected salaries and about the effect of expected income for the choice of specialisation. Their attitudes towards informal payment were assessed.

Results
Response rate was 67.3% (N = 465/691). Almost two-thirds of the participants were women. Only 5% of the respondents (N = 23/462) plan to work as a family doctor in the future. The vast majority (91.9%) of the students had already thought about their future income. On a 10-point Likert scale (1 = ‘no influence’, 10 = ‘very big influence’) 76% answered that the expected future income exerts a considerable (≥5 Likert points) influence on their career choice in general. The mean of the ideal expected monthly income of the residents, GPs and other specialists was €1154 ± 648, €1696 ± 904 and €2174 ± 1594, respectively. The mean of the monthly income for a GP, as estimated by the studenst, was €1140 in rural and €1122 in urban settings. More than four-fifths of the students (N = 375/453) rejected the practice of informal payment.

Conclusions
Expected salaray is one important aspect in the career choice of medical students, students wish to have more information on this topic. The reported ideal incomes are higher than those expected. This points to a relevant gap. However, most of the students do not accept informal payment as a possibility to close this gap. The expected and the ideal income differ from the real incomes of Hungarian GPs – this indicates the need of bringing objectoive information to the students to enhance attractivity of GP as a carer choice.
Family aspects, physical fitness, and physical activity associated with mental-health indicators in adolescents
Authors: Lema-Gómez Lucía , Arango-Paternina Carlos Mario , Eusse-López Cleiber , Petro Jorge , Petro-Petro Jose , López-Sánchez Milton , Watts-Fernández Willinton , Perea-Velásquez Fabio 
Published: December 2021

AbstractBackgroundThe objective of the study was to analyze the associations of family aspects, physical fitness, and physical activity with mental-health indicators in a sample of adolescents from Colombia.MethodsA cross-sectional study carried out in a sample of 988 adolescents (11-17 years-old) from public schools in Montería. Mental-health indicators were evaluated: Stress, depression, anxiety, happiness, health-related quality of life (HRQL), and subjective wellness. Family aspects included family affluence, functionality, and structure. These variables, along with physical activity and screen time, were measured with questionnaires. A fitness score was established by assessing the components of fitness: Flexibility, cardiorespiratory fitness, grip strength, and lower-limb strength. Associations were analyzed by multivariate linear regression models.ResultsNuclear family structure was associated with lower stress level (− 1.08, CI: − 1.98 - -0.18), and family functionality was associated with all the studied mental-health indicators (Stress: -0.11, CI: − 0.17 - -0.06; depression: -0.20, CI: − 0.25 - -0.16; trait anxiety: -0.13, CI: − 0.18 - -0.09; state anxiety: -0.12, CI: − 0.17 - -0.08; happiness: 0.09, CI: 0.07 - 0.1; HRQL: 1.13, CI: 0.99 - 1.27; subjective wellness: 1.67, CI: 1.39 - 1.95). Physical activity was associated (β, 95% Confidence Interval (CI)) with depression (− 0.27, − 0.57 - -0.02), trait anxiety (− 0.39, CI: − 0.65 - -0.13), state anxiety (− 0.30, CI: − 0.53 - -0.07), happiness (0.14, CI: 0.06 - 0.22), HRQL (3.63, CI: 2.86 – 4.43), and subjective wellness (5.29, CI: 3.75 – 6.83). Physical fitness was associated with stress (− 0.80, CI: − 1.17 - -0.43), state anxiety (− 0.45, CI: − 0.73 - -0.17), and HRQL (1.75, CI: 0.82 - 2.69); screen time was only associated with stress (0.06, CI: 0.02 - 0.11).ConclusionsFamily aspects were associated with mental health indicators, especially family functionality which was associated all mental-health indicators. Similarly, fitness, physical activity, and screen time were associated with the studied indicators of mental health. Particularly, physical activity was associated with all the mental-health indicators, except stress, which was only associated with screen time. Physical fitness was associated with stress, anxiety, and HRQL. Future studies could explore the causal relationships of fitness, physical activity and screen time with mental health in adolescents.
Determinants of overall knowledge and health behaviours in relation to hepatitis B and C among ever-married women in Pakistan: evidence based on Demographic and Health Survey 2017–18
Authors: Maqsood Sidra , Iqbal Sarosh , Zakar Rubeena , Zakar Muhammad Zakria , Fischer Florian 
Published: December 2021

Abstract
Background
In 2019, around 5 million and 10 million people were affected by hepatitis B virus (HBV) and hepatitis C virus (HCV) respectively in Pakistan. On World Hepatitis Day 2019, Pakistan’s Government announced the Prime Minister’s Plan to eliminate HBV and HCV from the country by 2030. In order to achieve this goal, adequate knowledge about HBV and HCV regarding mode of transmission, symptoms of the disease, and awareness about available treatments and vaccines is imperative. The present study aims to investigate the determinants related to overall knowledge about and behaviour in relation to HBV and HCV amongst married women in Pakistan.

Methods
Secondary data analysis was carried out using the Pakistan Demographic and Health Survey (PDHS) 2017–18. A series of questions regarding women’s knowledge about how to avoid HBV and HCV and their health behaviour in relation to HBV and HCV were posed to 12,364 ever-married women of reproductive age (15–49 years). Bivariate and multivariable logistic and linear regression was applied to examine the effects of sociodemographic characteristics and covariates on women’s overall knowledge and health behaviour regarding HBV and HCV.

Results
The findings highlight that the majority of women (88.3%) have heard of HBV and HCV. Nonetheless, only 34.8% had comprehensive knowledge about how to avoid HBV and HCV. Few women (11.3%) had been tested for HBV or HCV during the year preceding the survey. Furthermore, the results indicate that women living in urban areas, being older, and having more than 10 years of schooling, reported better knowledge and health behaviours regarding HBV and HCV.

Conclusion
This study provides evidence that women’s sociodemographic characteristics create differences in their overall knowledge about and attitudes towards HBV and HCV. This research emphasized that there is a need to create awareness about the causes and prevention of HBV and HCV in order to achieve the goal of eliminating these diseases in Pakistan by 2030.
Machine learning approaches for the prediction of postoperative complication risk in liver resection patients
Authors: Zeng Siyu , Li Lele , Hu Yanjie , Luo Li , Fang Yuanchen 
Published: December 2021

Abstract
Background
For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients, and leads to large increases in hospitalization costs. The ability to identify influencing factors and to predict the risk of complications in patients with liver cancer after surgery could assist doctors to make better clinical decisions.

Objective
The aim of the study was to develop a postoperative complication risk prediction model based on machine learning algorithms, which utilizes variables obtained before or during the liver cancer surgery, to predict when complications present with clinical symptoms and the ways of reducing the risk of complications.

Methods
The study subjects were liver cancer patients who had undergone liver resection. There were 175 individuals, and 13 variables were recorded. 70% of the data were used for the training set, and 30% for the test set. The performance of five machine learning models, logistic regression, decision trees-C5.0, decision trees-CART, support vector machines, and random forests, for predicting postoperative complication risk in liver resection patients were compared. The significant influencing factors were selected by combining results of multiple methods, based on which the prediction model of postoperative complications risk was created. The results were analyzed to give suggestions of how to reduce the risk of complications.

Results
Random Forest gave the best performance from the decision curves analysis. The decision tree-C5.0 algorithm had the best performance of the five machine learning algorithms if ACC and AUC were used as evaluation indicators, producing an area under the receiver operating characteristic curve value of 0.91 (95% CI 0.77–1), with an accuracy of 92.45% (95% CI 85–100%), the sensitivity of 87.5%, and specificity of 94.59%. The duration of operation, patient’s BMI, and length of incision were significant influencing factors of postoperative complication risk in liver resection patients.

Conclusions
To reduce the risk of complications, it appears to be important that the patient's BMI should be above 22.96 before the operation, and the duration of the operation should be minimized.
Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy
Authors: Liu Chunyu , Xu Jing , Liu Ran , Wang Miye , Zhuo Yixuan , Su Lan , Yan Hongmei , Zhang Qing 
Published: December 2021

Abstract
Background
Currently, numerous antihypertensive drugs from different pharmacological classes are available; however, blood pressure control is achieved in only less than a third of patients treated for hypertension. Moreover, providing optimal and personalised treatment for hypertension is challenging. Therefore, in this study, we propose a ‘drug-related attributes’ sensitive spectrum. This novel concept can assist clinicians in selecting an optimal antihypertensive drug and improve blood pressure control after examining the attributes of a patient.

Methods
We collected clinical data on attributes related to hypertension and its therapy of inpatients from West China Hospital who received metoprolol therapy and constructed the sensitive spectrum using data-visualisation tools.

Results
Our analysis revealed that haematocrit, haemoglobin, serum creatinine, serum cystatin C, serum urea, age, sex, systolic pressure, diastolic pressure, pulse pressure, and heart rate are metoprolol-related attributes.

Conclusion
Our study showed that all metoprolol-related attributes identified are reasonable and helpful in improving the personalisation of metoprolol therapy. The proposed drug-related attributes spectrum can help personalise antihypertensive medication. Moreover, data-visualisation tools can be effectively used to mine the drug-related attributes sensitive spectrum.
Statistical modeling of methylene blue degradation by yeast-bacteria consortium; optimization via agro-industrial waste, immobilization and application in real effluents
Authors: Eltarahony Marwa , El-Fakharany Esmail , Abu-Serie Marwa , ElKady Marwa , Ibrahim Amany 
Published: December 2021

AbstractThe progress in industrialization everyday life has led to the continuous entry of several anthropogenic compounds, including dyes, into surrounding ecosystem causing arduous concerns for human health and biosphere. Therefore, microbial degradation of dyes is considered an eco-efficient and cost-competitive alternative to physicochemical approaches. These degradative biosystems mainly depend on the utilization of nutritive co-substrates such as yeast extract peptone in conjunction with glucose. Herein, a synergestic interaction between strains of mixed-culture consortium consisting of Rhodotorula sp., Raoultella planticola; and Staphylococcus xylosus was recruited in methylene blue (MB) degradation using agro-industrial waste as an economic and nutritive co-substrate. Via statistical means such as Plackett–Burman design and central composite design, the impact of significant nutritional parameters on MB degradation was screened and optimized. Predictive modeling denoted that complete degradation of MB was achieved within 72 h at MB (200 mg/L), NaNO3 (0.525 gm/L), molasses (385 μL/L), pH (7.5) and inoculum size (18%). Assessment of degradative enzymes revealed that intracellular NADH-reductase and DCIP-reductase were key enzymes controlling degradation process by 104.52 ± 1.75 and 274.04 ± 3.37 IU/min/mg protein after 72 h of incubation. In addition, azoreductase, tyrosinase, laccase, nitrate reductase, MnP and LiP also contributed significantly to MB degradation process. Physicochemical monitoring analysis, namely UV−Visible spectrophotometry and FTIR of MB before treatment and degradation byproducts indicated deterioration of azo bond and demethylation. Moreover, the non-toxic nature of degradation byproducts was confirmed by phytotoxicity and cytotoxicity assays. Chlorella vulgaris retained its photosynthetic capability (˃ 85%) as estimated from Chlorophyll-a/b contents compared to ˃ 30% of MB-solution. However, the viability of Wi-38 and Vero cells was estimated to be 90.67% and 99.67%, respectively, upon exposure to MB-metabolites. Furthermore, an eminent employment of consortium either freely-suspended or immobilized in plain distilled water and optimized slurry in a bioaugmentation process was implemented to treat MB in artificially-contaminated municipal wastewater and industrial effluent. The results showed a corporative interaction between the consortium examined and co-existing microbiota; reflecting its compatibility and adaptability with different microbial niches in different effluents with various physicochemical contents.