bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-life efficacy and safety of nintedanib in systemic sclerosis-interstitial lung disease: data from an Italian multicentre study
Authors: Campochiaro Corrado , De Luca Giacomo , Lazzaroni Maria-Grazia , Armentaro Giuseppe , Spinella Amelia , Vigone Barbara , Ruaro Barbara , Stanziola Anna , Benfaremo Devis , De Lorenzis Enrico , Moccaldi Beatrice , Bosello Silvia Laura , Cuomo Giovanna , Beretta Lorenzo , Zanatta Elisabetta , Giuggioli Dilia , Del Papa Nicoletta , Airo Paolo , Confalonieri Marco , Moroncini Gianluca , Dagna Lorenzo , Matucci-Cerinic Marco 
Published: February 2023

IntroductionNintedanib (NTD) has been shown to be effective in systemic sclerosis (SSc)-interstitial lung disease (ILD). Here we describe the efficacy and safety of NTD in a real-life setting.MethodsPatients with SSc-ILD treated with NTD were retrospectively evaluated at 12 months prior to NTD introduction; at baseline and at 12 months after NTD introduction. The following parameters were recorded: SSc clinical features, NTD tolerability, pulmonary function tests and modified Rodnan skin score (mRSS).Results90 patients with SSc-ILD (65% female, mean age 57.6±13.4 years, mean disease duration 8.8±7.6 years) were identified. The majority were positive for anti-topoisomerase I (75%) and 77 (85%) patients were on immunosuppressants. A significant decline in %predicted forced vital capacity (%pFVC) in the 12 months prior to NTD introduction was observed in 60%. At 12 months after NTD introduction, follow-up data were available for 40 (44%) patients and they showed a stabilisation in %pFVC (64±14 to 62±19, p=0.416). The percentage of patients with significant lung progression at 12 months was significantly lower compared with the previous 12 months (60% vs 17.5%, p=0.007). No significant mRSS change was observed. Gastrointestinal (GI) side effects were recorded in 35 (39%) patients. After a mean time of 3.6±3.1 months, NTD was maintained after dose adjustment in 23 (25%) patients. In nine (10%) patients, NTD was stopped after a median time of 4.5 (1–6) months. During the follow-up, four patients died.ConclusionsIn a real-life clinical scenario, NTD, in combination with immunosuppressants, may stabilise lung function. GI side effects are frequent and NTD dose adjustment may be necessary to retain the drug in patients with SSc-ILD.
Vaping in a heavily regulated setting: cross-sectional survey of e-cigarette use, perceptions and social media exposure
Authors: Ng Lionel , Ng Xian Yi , van der Eijk Yvette 
Published: February 2023

BackgroundSingapore has completely banned e-cigarettes and the government’s cautious stance against vaping has been consistent. Despite this, vaping appears to have gained popularity in Singapore, especially among younger people. With the heavy marketing of vaping products on social media, it is possible that such marketing, due to its cross-border nature, is reaching younger Singaporeans and driving changes in vaping-related perceptions or behaviours. This study examines their exposure to vaping-related content on social media, and whether such exposure is associated with more positive perceptions of vaping or e-cigarette ever use.MethodsAnalysis of cross-sectional survey data of 550 adult (age 21–40 years) Singaporeans recruited via convenience methods in May 2022, using descriptive statistics, bivariate analyses, and multiple linear and logistic regression models.Results16.9% of participants reported they had ever used e-cigarettes. 18.5% of those who used social media recalled seeing vaping-related content on a social media platform in the past 6 months, mostly from influencers or friends, and on Instagram, Facebook, TikTok and/or YouTube. Reporting exposure to such content was not associated with e-cigarette ever use. It was associated with having a more positive overall perception of vaping (β=1.47; 95% CI: 0.17 to 2.78), although no significant difference was observed when examining only health-related perceptions.ConclusionEven in a heavily regulated environment such as Singapore’s, people appear to be exposed to vaping-related content on social media platforms and this exposure is, in turn, associated with more positive perceptions of vaping, but not e-cigarette ever use.
Contribution of HADES URL to the development of the Cigéo project, the French industrial centre for geological disposal of high-level and long-lived intermediate-level radioactive waste in a deep clay formation
Authors: Armand Gilles , Plas Fréderic , Talandier Jean , Dizier Arnaud , Li Xiang Ling , Levasseur Severine 
Published: February 2023

Abstract

In the 1980s, HADES (High-Activity Disposal Experimental Site) was the first underground research laboratory (URL) dedicated to the study of the geological disposal of radioactive waste in a deep clay formation, the Boom Clay. It was not until the early 2000s, after a siting process, that ANDRA implemented the Meuse/Haute-Marne URL, in the Callovo-Oxfordian formation at a depth of about 500 m in order to develop the Cigéo project (French industrial centre for geological disposal). ANDRA therefore relied heavily on the work carried out in HADES, through numerous co-operation projects (participation in
in situ
experiments) both between ANDRA and ONDRAF/NIRAS and SCK CEN (EURIDICE) and/or with Mont Terri consortium, and within European projects (CLIPEX, RESEAL, etc.). This was driven by a dual objective: (1) to prepare its own experimental programmes in the Meuse/Haute-Marne underground laboratory (methodology, experimental devices and protocols, etc.); and (2) to acquire general knowledge on the behaviour of argillaceous rocks, in particular in terms of similarity and differences between the various argillaceous rocks. This paper illustrates the contribution of HADES to the ANDRA programme. This concerns the characterization of the claystone behaviour, host rock and swelling clay-based seals (hydromechanical, thermo-hydromechanical, excavation damaged zone, etc.), and the design and the behaviour of underground structures and seals in deep clay formation (constructability, lining/support, etc.).
Rule Based Fuzzy Computing Approach on Self-Supervised Sentiment Polarity Classification with Word Sense Disambiguation in Machine Translation for Hindi Language
Authors: Chauhan Shweta , Shet Jayashree Premkumar , Beram Shehab Mohamed , Jagota Vishal , Dighriri Mohammed , Ahmad Mohd Wazih , Hossain Md Shamim , Rizwan Ali 
Published: February 2023

With increasing globalization, communication among people of diverse cultural backgrounds is also taking place to a very large extent in the present era. Issues like language diversity in various parts of the world can lead to hindrance in communication. The usage of social media and user-generated material has grown at an exponential rate and existing supervised sentiment polarity classification techniques need labelling for the training dataset. In this study, two problems have been analyzed. First, sentiment analysis of the Twitter dataset and sense disambiguation of morphologically rich Hindi language. A rule-based fuzzy logics-based system for self-supervised sentiment classification was used to compute and analyze the self-supervised or completely unsupervised sentiment categorization of a social-media dataset using three types of lexicons. The combination of fuzzy with three different types of lexicons gives sentiment analysis a new path. The unsupervised fuzzy rules integrate the fuzziness of both negative as well as positive scores, and fuzzy logic-based systems can cope with ambiguity and vagueness. The fuzzy-system uses an unsupervised/self-supervised fuzzy rule-based technique to identify text using
natural language processing (NLP)
and sense of word. We compared the results of fuzzy rule based self-supervised sentiment classification by using three types of lexicons on five different datasets, with unsupervised as well as supervised sentiment classification techniques. Second, using cross-lingual sense embedding rather than cross-lingual word embedding resolves the ambiguity issue. The word sense embeddings are produced for the source languages to learn multiple or various senses of the words. Different evaluation metrics depict an improved performance for English-Hindi language.
Outcomes of Combined Heart and Kidney Transplantation Under the New Heart Allocation Policy: A United Organ Network for Organ Sharing Database Analysis
Authors: Ohira Suguru , Okumura Kenji , Pan Stephen , Dhand Abhay , Levine Elliot , De La Pena Corazon B. , Nishida Seigo , Spielvogel David , Kai Masashi 
Published: February 2023

Background:
The impact of the new heart allocation policy, which prioritizes acutely ill patients on temporary mechanical circulatory support and provides broader sharing of donor organs, on patient and graft survival in combined heart and kidney transplantation (HKT) is unknown.

Methods:
In the United Network for Organ Sharing data, patients were divided in groups before and after the policy change (OLD, January 1, 2015 to October 17, 2018, N=533; and NEW, October 18, 2018 to December 31, 2020, N=370). Propensity score matching was performed utilizing recipient characteristics (283 pairs). The median follow-up was 1099 days.

Results:

The annual volume of HKT increased approximately 2-fold during this period (N=117 in 2015 and N=237 in 2020), predominantly among patients not on hemodialysis at time of transplantation. Ischemic times for heart (OLD, 2.94 versus NEW, 3.37 hours;
P
<0.001) and kidney grafts (14.1 versus 16.0 hours;
P
<0.001) were longer under the new policy, as was the travel distance (47 versus 183 miles;
P
<0.001). In the matched cohort, 1-year overall survival (OLD, 91.1% versus NEW, 84.8%;
P
<0.001), and freedom from heart and kidney graft failure rate were worse under the new policy. Patients not on hemodialysis at time of HKT demonstrated worse survival and a higher risk of kidney graft failure under the new policy compared with the old policy. In multivariate Cox proportional-hazards analysis, the new policy was associated with an increased risk of mortality (hazard ratio, 1.81;
P
=0.007), and graft failure among HKT recipients (heart, hazard ratio, 1.81;
P
=0.007; and kidney, hazard ratio, 1.83;
P
=0.002).

Conclusions:
The new heart allocation policy was associated with worse overall survival and decreased freedom from heart and kidney graft failure in HKT recipients.
Adversarial Neural Collaborative Filtering with Embedding Dimension Correlations
Authors: Gao Yi , Chen Jianxia , Xiao Liang , Wang Hongyang , Pan Liwei , Wen Xuan , Ye Zhiwei , Wu Xinyun 
Published: February 2023

ABSTRACT
Recently, convolutional neural networks (CNNs) have achieved excellent performance for the recommendation system by extracting deep features and building collaborative filtering models. However, CNNs have been verified susceptible to adversarial examples. This is because adversarial samples are subtle non-random disturbances, which indicates that machine learning models produce incorrect outputs. Therefore, we propose a novel model of Adversarial Neural Collaborative Filtering with Embedding Dimension Correlations, named ANCF in short, to address the adversarial problem of CNN-based recommendation system. In particular, the proposed ANCF model adopts the matrix factorization to train the adversarial personalized ranking in the prediction layer. This is because matrix factorization supposes that the linear interaction of the latent factors, which are captured between the user and the item, can describe the observable feedback, thus the proposed ANCF model can learn more complicated representation of their latent factors to improve the performance of recommendation. In addition, the ANCF model utilizes the outer product instead of the inner product or concatenation to learn explicitly pairwise embedding dimensional correlations and obtain the interaction map from which CNNs can utilize its strengths to learn high-order correlations. As a result, the proposed ANCF model can improve the robustness performance by the adversarial personalized ranking, and obtain more information by encoding correlations between different embedding layers. Experimental results carried out on three public datasets demonstrate that the ANCF model outperforms other existing recommendation models.
Leveraging Continuous Prompt for Few-Shot Named Entity Recognition in Electric Power Domain with Meta-Learning
Authors: Yu Yang , He Wei , Kang Yu-meng , Ji You-lang 
Published: February 2023

ABSTRACT
Conventional named entity recognition methods usually assume that the model can be trained with sufficient annotated data to obtain good recognition results. However, in Chinese named entity recognition in the electric power domain, existing methods still face the challenges of lack of annotated data and new entities of unseen types. To address these challenges, this paper proposes a meta-learning-based continuous cue adjustment method. A generative pre-trained language model is used so that it does not change its own model structure when dealing with new entity types. To guide the pre-trained model to make full use of its own latent knowledge, a vector of learnable parameters is set as a cue to compensate for the lack of training data. In order to further improve the model's few-shot learning capability, a meta-learning strategy is used to train the model. Experimental results show that the proposed approach achieves the best results in a few-shot electric Chinese power named entity recognition dataset compared to several traditional named entity approaches.
Subtropical Impact on the Tropical Double-ITCZ Bias in the GFDL CM2.1 Model
Authors: Liu Tianying , Liu Zhengyu , Zhao Yuchu , Zhang Shaoqing 
Published: February 2023

Abstract
The double–intertropical convergence zone (ITCZ) bias has been an outstanding problem among climate models for two decades. However, it remains unclear how much of this tropical bias is attributed to the extratropics and tropics itself, respectively. Applying the regional data assimilation (RDA) method, we follow up a previous study with a more advanced model of GFDL CM2.1 to quantify the influence of extratropical atmosphere on the double-ITCZ bias. Our study reveals that this tropical bias is influenced to a large extent by the extratropics between 20° and 30°, with little impact from the extratropics poleward of 30°. This vital role of subtropics in the double-ITCZ bias is likely determined by the meridional extent of Hadley circulation from zonal-mean perspective. Besides, the vital role of subtropics is also supported by wind–evaporation–SST feedback in the subtropical southeastern Pacific from a regional perspective.
Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
Authors: Lamare Maxim , Domine Florent , Revuelto Jesús , Pelletier Maude , Arnaud Laurent , Picard Ghislain 
Published: February 2023

Abstract
Expanding shrubs in the Arctic trap blowing snow, increasing snow height and accelerating permafrost warming. Topography also affects snow height as snow accumulates in hollows. The respective roles of topography and erect vegetation in snow accumulation were investigated using a UAV-borne lidar at two nearby contrasted sites in northern Quebec, Canada. The North site featured tall vegetation up to 2.5 m high, moderate snow height, and smooth topography. The South site featured lower vegetation, greater snow height, and rougher topography. There was little correlation between topography and vegetation height at both sites. Vegetation lower than snow height had very little effect on snow height. When vegetation protruded above the snow, snow height was well correlated with vegetation height. The topographic position index (TPI) was well correlated with snow height when it was not masked by the effect of protruding vegetation. The North site with taller vegetation therefore showed a good correlation between vegetation height and snow height, R2 = 0.37, versus R2 = 0.04 at the South site. Regarding topography, the reverse was observed between TPI and snow height, with R2 = 0.29 at the North site and R2 = 0.67 at the South site. The combination of vegetation height and TPI improved the prediction of snow height at the North site (R2 = 0.59) but not at the South site because vegetation height has little influence there. Vegetation was therefore the main factor determining snow height when it protruded above the snow. When it did not protrude, snow height was mostly determined by topography.

Significance Statement
Wind-induced snow drifting is a major snow redistribution process in the Arctic. Shrubs trap drifting snow, and drifting snow accumulates in hollows. Determining the respective roles of both these processes in snow accumulation is required to predict permafrost temperature and its emission of greenhouse gases, because thicker snow limits permafrost winter cooling. Using a UAV-borne lidar, we have determined snow height distribution over two contrasted sites in the Canadian low Arctic, with varied vegetation height and topography. When snow height exceeds vegetation height, topography is a good predictor of snow height, with negligible effect of buried vegetation. When vegetation protrudes above the snow, combining both topography and vegetation height is required for a good prediction of snow height.
The association of severe COVID anxiety with poor social functioning, quality of life, and protective behaviours among adults in United Kingdom: a cross-sectional study
Authors: King Jacob D. , McQuaid Aisling , Leeson Verity C. , Samuel Oluwaseun , Grant Josiah , Imran Azeem Muhamad Saad , Barnicot Kirsten , Crawford Mike J. 
Published: February 2023

Abstract
Background
Anxiety about COVID-19 is common. For most people this is an appropriate response to the loss of livelihoods and loved-ones, disruptions to social networks, and uncertainty about the future. However, for others these anxieties relate to contracting the virus itself, a phenomenon termed COVID anxiety. Little is known about the characteristics of people with severe COVID anxiety or the impact it has on their daily lives.

Methods
We conducted a two-phase cross-sectional survey of people aged 18 or over who were living in United Kingdom, self-identified as anxious about COVID-19, and had a score of ≥9 on the Coronavirus Anxiety Scale. We recruited participants nationally through online adverts and locally via primary care services in London. Data on demographic and clinical factors were used in multiple regression modelling to examine the greatest contributors to functional impairment, poor health-related quality of life and protective behaviours in this sample of individuals with severe COVID anxiety.

Results
We recruited 306 people with severe COVID anxiety between January and September 2021. Most were female (n = 246, 81.2%); they had a median age of 41 (range = 18–83). The majority of participants also had generalised anxiety (n = 270, 91.5%), depression (n = 247, 85.5%), and a quarter (n = 79, 26.3%) reported a physical health condition which put them at increased risk of hospitalisation with COVID-19. Half had severe social dysfunction (n = 151, 52.4%). One in ten reported never leaving their home, one in three washed all items brought into their house, one in five washed their hands constantly, and one in five of those with children reported not sending them to school because of fears of COVID-19. Increasing co-morbid depressive symptoms best explained functional impairment and poor quality of life after controlling for other factors.

Conclusions
This study highlights the high degree of co-occuring mental health problems, and the extent of functional impairment and poor health-related quality of life among people with severe COVID anxiety. Further research is needed to establish the course of severe COVID anxiety as the pandemic progresses, and steps that can be taken to support people who experience this distress.
Sex differences in residual somatic symptoms in patients with first-episode depression after acute-phase treatment
Authors: Shi Jingjing , Wang Xiaohong , Zhao Na , Kang Chuanyi , Yang Liying , Zheng Yue , Liu Jiacheng , Feng Lei , Zhu Xuequan , Ma Caina , Wu Wenyuan , Wang Gang , Hu Jian 
Published: February 2023

Abstract
Background
Residual somatic symptoms (RSS) are common in depressed patients, predicting treatment effectiveness. However, sex differences in RSS have received little systematic study. This study was conducted to compare sex differences of RSS in patients with first-episode depression (FED).

Methods
Nine hundred eighty-two patients with FED were selected and treated for 8 to 12 weeks. We evaluated the subjects' socio-demographic characteristics and residual depressive symptoms. Using the Patient Health Questionnaire-15 (PHQ-15) scale to assess residual somatic symptoms, the Sheehan Disability Scale (SDS) for the assessment of patients' function, the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) for quality of life.

Results
The incidence of RSS with FED was 46.4%. For patients with residual symptoms, the age and age of onset in females were higher than males, but males had more years of education than females. The degree of "stomach pain" in females was more severe than in males, while "trouble sleeping" in males was more severe than that in females. Multiple regression analysis showed that the total Q-LES-Q-SF score was an independent influencing factor of RSS in both males and females, while the total SDS score only affected female RSS.

Conclusions
The prevalence of RSS in FED after acute-phase treatment is high. The symptom of "stomachache" is more pronounced in females, while "trouble sleeping" is more severe in males. Quality of life plays an essential role in RSS in both genders. Thus, sex needs to be considered when assessing the relationship between RSS and therapeutic effect in depression.
Long term outcome of surgical treatment of chondroblastoma: analysis of local control and growth plate/articular cartilage related complications
Authors: Muratori Francesco , Scanferla Roberto , Roselli Giuliana , Frenos Filippo , Campanacci Domenico Andrea 
Published: February 2023

Abstract
Background
Chondroblastoma (CBL) is a rare benign chondroid producing bone tumor that typically occurs in epiphysis or apophysis of growing children and young adults. Intralesional curettage is the treatment of choice, while resection is required in selected cases, even though the use of minimally invasive ablation techniques has been advocated. Authors reviewed a series of 75 CBLs with the aim of assess risk factors for local recurrence, the growth plate related complications after epiphyseal curettage and the risk of arthritis of the adjacent joint after epiphyseal curettage.

Methods
We retrospectively review 69 CBLs treated with intralesional curettage and 6 treated with resection from March 1995 to February 2020. The median age was 18.8 years (7 to 42, median 16). The site was proximal humerus in 18 cases, proximal tibia in 17, distal femur in 16, talus in 6, femur’s head in 4, calcaneus in 3, acromion in 3, trochanteric region in 2, distal tibia in 2, patella in 2, supracetabular region in 1 and distal humerus in 1 patient.

Results
Mean follow-up was 124.2 months (24 to 322, median 116). Among patients treated with curettage, 7.3% of local recurrence was observed and 12 (17.4%) patients developed osteoarthritis of the adjacent joint. Five patients (7.3%) presented limb length discrepancy of the operated limb ranging from 0.5 to 2 cm. Recurrence free survival rate was 94.2% at 5 and 91.6% at 10 years. A mean Musculoskeletal Tumor Society (MSTS) of 29.3 points (20 to 30, median 30) was observed.

Conclusion
More than 90% of CBLs were successfully treated with aggressive curettage but segmental resection is required in selected cases. In a relatively small proportion of cases long term complications can occur due to growth plate damage or osteoarthritis.

Trial Registration
Retrospectively registered.