bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Use of Self-Help Strategies in Obesity Treatment. A Narrative Review Focused on Hypnosis and Mindfulness
Authors: Pellegrini Marianna , Carletto Sara , Scumaci Elena , Ponzo Valentina , Ostacoli Luca , Bo Simona 
Published: May 2021

Abstract
Purpose of Review
The aim of this narrative review was to summarize the evidence evaluating the possibilities and limitations of self-hypnosis and mindfulness strategies in the treatment of obesity.

Recent Findings
Psychological factors, such as mood disorders and stress, can affect eating behaviors and deeply influence weight gain. Psychological approaches to weight management could increase the motivation and self-control of the patients with obesity, limiting their impulsiveness and inappropriate use of food. The cognitive-behavioral therapy (CBT) represents the cornerstone of obesity treatment, but complementary and self-directed psychological interventions, such as hypnosis and mindfulness, could represent additional strategies to increase the effectiveness of weight loss programs, by improving dysfunctional eating behaviors, self-motivation, and stimulus control.

Summary
Both hypnosis and mindfulness provide a promising therapeutic option by improving weight loss, food awareness, self-acceptance of body image, and limiting food cravings and emotional eating. Greater effectiveness occurs when hypnosis and mindfulness are associated with other psychological therapies in addition to diet and physical activity. Additional research is needed to determine whether these strategies are effective in the long term and whether they can be routinely introduced into the clinical practice.
A rigid, not infinitesimally rigid surface with K ample
Authors: Böhning Christian , von Bothmer Hans-Christian Graf , Pignatelli Roberto 
Published: May 2021

AbstractWe produce an example of a rigid, but not infinitesimally rigid smooth compact complex surface with ample canonical bundle using results about arrangements of lines inspired by work of Hirzebruch, Kapovich & Millson, Manetti and Vakil.
Immunogenicity of a first dose of mRNA- or vector-based SARS-CoV-2 vaccination in dialysis patients: a multicenter prospective observational pilot study
Authors: Lesny Paul , Anderson Mark , Cloherty Gavin , Stec Michael , Haase-Fielitz Anja , Haarhaus Mathias , Santos Carla , Lucas Carlos , Macario Fernando , Haase Michael 
Published: May 2021

Abstract
Background
Dialysis patients are at risk for lower SARS-CoV-2-vaccine immunogenicity than the normal population. We assessed immunogenicity to a first mRNA- or vector-based SARS-CoV-2-vaccination dose in dialysis patients.

Methods
In a multicenter observational pilot study, 2 weeks after a first vaccination (BNT162b2/Pfizer-BioNTech [Comirnaty] or ChAdOx1 nCoV-19/Oxford-Astra-Zeneca [Vaxzevria]), hemodialysis patients (N = 23), peritoneal dialysis patients (N = 4) and healthy staff (N = 14) were tested for SARS-CoV-2-spike IgG/IgM, Nucleocapsid-protein-IgG-antibodies and plasma ACE2-receptor-binding-inhibition capacity. Hemodialysis patients who had had prior COVID-19 infection (N = 18) served as controls. Both response to first SARS-CoV-2 vaccination and IgG spike-positivity following prior COVID-19 infection were defined as SARS-CoV-2 spike IgG levels ≥ 50 AU/mL.

Results
Vaccination responder rates were 17.4% (4/23) in hemodialysis patients, 100% (4/4) in peritoneal dialysis patients and 57.1% (8/14) in staff (HD vs. PD: p = 0.004, HD vs. staff: p = 0.027). Among hemodialysis patients, type of vaccine (Comirnaty N = 11, Vaxzevria N = 12, 2 responders each) did not appear to influence antibody levels (IgG spike: Comirnaty median 0.0 [1.–3. quartile 0.0–3.8] versus Vaxzevria 4.3 [1.6–20.1] AU/mL, p = 0.079). Of responders to the first dose of SARS-CoV-2 vaccination among hemodialysis patients (N = 4/23), median IgG spike levels and ACE2-receptor-binding-inhibition capacity were lower than that of IgG spike-positive hemodialysis patients with prior COVID-19 infection (13/18, 72.2%): IgG spike: median 222.0, 1.–3. quartile 104.1–721.9 versus median 3794.6, 1.–3. quartile 793.4–9357.9 AU/mL, p = 0.015; ACE2-receptor-binding-inhibition capacity: median 11.5%, 1.–3. quartile 5.0–27.3 versus median 74.8%, 1.–3. quartile 44.9–98.1, p = 0.002.

Conclusions
Two weeks after their first mRNA- or vector-based SARS-CoV-2 vaccination, hemodialysis patients demonstrated lower antibody-related response than peritoneal dialysis patients and healthy staff or unvaccinated hemodialysis patients following prior COVID-19 infection.

Graphic abstract
Firing Costs and Job Loss: The Case of the Italian Jobs Act
Authors: Pigini Claudia , Staffolani Stefano 
Published: May 2021

AbstractA recent reform in the Italian labour market has modified the permanent contract by reducing firing costs. Using a discontinuity in the application of the reform, we evaluate its effect on the probability of being still employed about three and a half years later. In contrast with theoretical predictions, we find that the job survival probability is not smaller for the treated and even significantly larger in some cases. We investigate the composition of permanent workers hired after the reform and we find evidence of treated firms changing their recruitment strategy in favour of potentially more productive workers.
A General Self-Sacrifice Template Strategy to 3D Heteroatom-Doped Macroporous Carbon for High-Performance Potassium-Ion Hybrid Capacitors
Authors: Li Junwei , Hu Xiang , Zhong Guobao , Liu Yangjie , Ji Yaxin , Chen Junxiang , Wen Zhenhai 
Published: May 2021

AbstractPotassium-ion hybrid capacitors (PIHCs) tactfully combining capacitor-type cathode with battery-type anode have recently attracted increasing attentions due to their advantages of decent energy density, high power density, and low cost; the mismatches of capacity and kinetics between capacitor-type cathode and battery-type anode in PIHCs yet hinder their overall performance output. Herein, based on prediction of density functional theory calculations, we find Se/N co-doped porous carbon is a promising candidate for K+ storage and thus develop a simple and universal self-sacrifice template method to fabricate Se and N co-doped three-dimensional (3D) macroporous carbon (Se/N-3DMpC), which features favorable properties of connective hierarchical pores, expanded interlayer structure, and rich activity site for boosting pseudocapacitive activity and kinetics toward K+ storage anode and enhancing capacitance performance for the reversible anion adsorption/desorption cathode. As expected, the as-assembled PIHCs full cell with a working voltage as high as 4.0 V delivers a high energy density of 186 Wh kg−1 and a power output of 8100 W kg−1 as well as excellent long service life. The proof-of-concept PIHCs with excellent performance open a new avenue for the development and application of high-performance hybrid capacitors.
Maximizing Influence Over Streaming Graphs with Query Sequence
Authors: Zhao Yuying , Hu Yunfei , Yuan Pingpeng , Jin Hai 
Published: May 2021

AbstractNow, with the prevalence of social media, such as Facebook, Weibo, how to maximize influence of individuals, products, actions in new media is of practical significance. Generally, maximizing influence first needs to identify the most influential individuals since they can spread their influence to most of others in the social media. Many studies on influence maximization aimed to select a subset of nodes in static graphs once. Actually, real graphs are evolving. So, influential individuals are also changing. In these scenarios, people tend to select influential individuals multiple times instead of once. Namely, selections are raised sequentially, forming a sequence (query sequence). It raises several new challenges due to changing influential individuals. In this paper, we explore the problem of Influence Maximization over Streaming Graph (SGIM). Then, we design a compact solution for storing and indexing streaming graphs and influential nodes that eliminates the redundant computation. The solution includes Influence-Increment-Index along with two sketch-centralized indices called Influence-Index and Reverse-Influence-Index. Computing influence set of nodes will incur a large number of redundant computations. So, these indices are designed to keep track of the nodes’ influence in sketches. Finally, with the indexing scheme, we present the algorithm to answer SGIM queries. Extensive experiments on several real-world datasets demonstrate that our method is competitive in terms of both efficiency and effectiveness owing to the design of index.
Idiom and proverb processing in autism: a systematic review and meta-analysis
Authors: Morsanyi Kinga , Stamenković Dušan 
Published: May 2021

AbstractFigurative language processing impairments in autism have been widely demonstrated, and have been considered a defining feature of autism. Studies in this area often consider different types of figurative language together, and less attention has been paid to identifying the factors that might contribute to difficulties in processing specific types of figurative language. Here we present a preregistered systematic review and meta-analysis of studies assessing the comprehension of idioms and proverbs in autism spectrum disorder (ASD) as compared to typically developing (TD) individuals. Idioms are widely used multi-word figurative expressions, which are understood by using contextual information. Proverbs are a related type of fixed, figurative, formulaic expression in a sentential form, typically linked with wisdom. Idioms and proverbs represent forms of figurative language which are more conventionalized and frequently opaquer than metaphors, pointing to a unique way that they are processed in conversational contexts. Our analysis encompassed a total of 11 studies from 10 papers (involving 235 autistic and 224 TD individuals), which met our inclusion criteria (the ASD and TD groups were matched on both chronological age and intelligence). The analysis of accuracy data revealed a group difference favouring the TD over the ASD group, with a medium effect size, and no indication of a publication bias. Participants’ age was unrelated to the magnitude of group differences, but there was a trend for smaller group differences in the case of participants with higher (verbal) intelligence. We discuss these findings with reference to theories related to the nature of figurative language impairments in autism.
Novel Ocular Features in a Child with Marinesco-Sjögren Syndrome: Case Report and Literature Review
Authors: Ali Syed M. , Gharkan Abdulrahman , Bosley Thomas M. , Kozak Igor 
Published: May 2021

AbstractTo report novel ocular findings in unique Marinesco-Sjögren syndrome (early-onset cataracts, cerebellar ataxia, and a progressive myopathy), review literature, and discuss causes of vision decrease in this rare entity. A 3-year-old girl diagnosed with Marinesco-Sjögren syndrome underwent uneventful cataract surgery in both eyes within 1 week of her 2nd birthday. This was exactly similar to her sister and other two related family members. Additionally, she had prominent corneal nerves and subtle corneal subepithelial deposits in both eyes. Cataracts are one of the primary diagnostic criteria for the Marinesco-Sjögren syndrome, and their early diagnosis and treatment are important for prevention of additional permanent visual loss. Prominent corneal nerves and mild corneal subepithelial defects are described in this report and may occasionally be helpful in making the diagnosis.
Main Challenges and Goals of the H2020 STRATOFLY Project
Authors: Viola Nicole , Fusaro Roberta , Saracoglu Bayindir , Schram Christophe , Grewe Volker , Martinez Jan , Marini Marco , Hernandez Santiago , Lammers Karel , Vincent Axel , Hauglustaine Didier , Liebhardt Bernd , Linke Florian , Fureby Christer 
Published: May 2021

AbstractAs eluded in previous studies, with special reference to those carried out in the European framework, some innovative high-speed aircraft configurations have now the potential to assure an economically viable high-speed aircraft fleet. They make use of unexploited flight routes in the stratosphere, offering a solution to the presently congested flight paths while ensuring a minimum environmental impact in terms of emitted noise and green-house gasses, particularly during stratospheric cruise. Only a dedicated multi-disciplinary integrated design approach could realize this, by considering airframe architectures embedding the propulsion systems as well as meticulously integrating crucial subsystems. In this context, starting from an in-depth investigation of the current status of the activities, the STRATOFLY project has been funded by the European Commission, under the framework of Horizon 2020 plan, with the aim of assessing the potential of this type of high-speed transport vehicle to reach Technology Readiness Level (TRL) 6 by 2035, with respect to key technological, societal and economical aspects. Main issues are related to thermal and structural integrity, low-emissions combined propulsion cycles, subsystems design and integration, including smart energy management, environmental aspects impacting climate change, noise emissions and social acceptance, and economic viability accounting for safety and human factors. This paper aims at summarizing the main challenges and goals of the STRATOFLY project, highlighting the steps forward with respect to the past European Projects and underlying the next planned goals.
Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic
Authors: Di Domenico Giandomenico , Tuan Annamaria , Visentin Marco 
Published: May 2021

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.
A preliminary metabolites identification of a novel compound with β-adrenolytic activity
Authors: Walczak Maria , Suraj-Prażmowska Joanna , Kuś Kamil , Kij Agnieszka , Groszek Grażyna 
Published: May 2021

AbstractBackgroundThe identification of main metabolites and assessment of renal excretion of a novel compound with β-adrenolytic activity (2RS)-1-(1H-indol-4-yloxy)-3-((2-(2-methoxyphenoxy)ethyl)amino)propan-2-ol, briefly called (RS)-9 or 2F109, were studied in vivo in rat serum, urine, faeces, liver, intestine, lungs and kidneys, and in vitro in rat liver microsomes.MethodsStructures of the metabolites have been developed by comparing the high-resolution product ion mass spectra of metabolites and the parent compound based on the differences in mass values of main fragments. Quantitative analysis of (RS)-9 was done using a system of liquid chromatography coupled with a triple quadrupole mass spectrometer API 2000. Identification studies of predicted metabolites were made by a high-resolution mass spectrometer LTQ XL Orbitrap Discovery and using a Roxy™system, for online electrochemical mimicry of oxidative metabolism by cytochrome P450s connected to QTRAP 5500.ResultsFor (RS)-9 (m/z357.2084) phase I metabolites derived from oxidation process: hydroxyl derivatives (m/z373.2470) and dihydroxyl derivatives (m/z389.4318), and phase II metabolites:N-methylated compound (m/z371.1612),O-glucuronide (m/z533.5118), and sulfate (m/z437.2350) were identified.Conclusion(RS)-9 was extensively metabolised to several phase I and II metabolites, and renal excretion was a minor route in its elimination.Graphic abstract
Is the number of procedures completed a valid indicator of final year student competency in operative dentistry?
Authors: Dawson Luke J. , Fox Kathryn , Jellicoe Mark , Adderton Elliot , Bissell Vince , Youngson Callum C. 
Published: May 2021

AbstractIntroduction Concerns regarding the preparedness of dental graduates often focus on the number of procedures undertaken before qualification.Aims To assess the validity of numerical requirements in determining whether a student has sufficient competency to graduate.Materials and methods In total, 50,821 observations of student activity while on the restorative clinic, for two integrated student cohorts (n = 139), were continuously recorded using the LiftUpp system from their third year to graduation. Analysis of data determined the most frequent type, location and difficulty of the direct restorations provided.Results Four groups of students, categorised by the total number of restorations they provided, were identified. Those with the most restorations (70+) had a statistically significantly greater experience in restoring different tooth surfaces, in different quadrants, on different patients than those with the least (40-49). However, increased numbers did not correlate with increasing difficulty, suggesting that students simply became more adept at easier procedures.Discussion Using a derived measure of 'consistency', it was observed that increased performance consistency was not correlated with greater overall experience. Furthermore, only 4% of students were 100% consistent in their performance in their final year.Conclusions These data suggest that a 'numerical requirements' approach cannot be used, in isolation, as a valid measure of the competency of an individual. Further work is needed to validate consistency as a holistic measurement to characterise the performance of graduates.
A per‐unit curve rotated decoupling method for CNN‐TCN based day‐ahead load forecasting
Authors: He Shengtao , Li Canbing , Liu Xubin , Chen Xinyu , Shahidehpour Mohammad , Chen Tao , Zhou Bin , Wu Qiuwei 
Published: May 2021

AbstractThe existing load forecasting method based on the per‐unit curve static decoupling (PCSD) would easily lead to the deviation and translation of forecasting results. To tackle this challenge, a per‐unit curve rotated decoupling (PCRD) method is proposed for day‐ahead load forecasting with convolutional neural network and temporal convolutional network framework. The PCRD method decomposes the load into three parts: the rotated per‐unit load curve, the 0 AM load, and the daily average load. The shape feature of the load curve is extracted by CNN, the temporal features of the 0 AM load and daily average load are extracted by TCN. The rotation operation is to rotate the per‐unit load curve at the midpoint of the curve until the first load point is aligned to the same point, in order to improve the similarity of per‐unit load curves and to alleviate the deflection of forecasting results. The 0 AM load can verify the accuracy of the daily average load, which alleviates the translation of forecasting results. Several experimental results show that the proposed method has higher accuracy and stability than the existing PCSD method. After repeated experiments on multiple data sets, the generalization ability of the model is also verified.
Constraint‐based models for dominating protein interaction networks
Authors: Alofairi Adel A. , Mabrouk Emad , Elsemman Ibrahim E. 
Published: May 2021

AbstractThe minimum dominating set (MDSet) comprises the smallest number of graph nodes, where other graph nodes are connected with at least one MDSet node. The MDSet has been successfully applied to extract proteins that control protein–protein interaction (PPI) networks and to reveal the correlation between structural analysis and biological functions. Although the PPI network contains many MDSets, the identification of multiple MDSets is an NP‐complete problem, and it is difficult to determine the best MDSets, enriched with biological functions. Therefore, the MDSet model needs to be further expanded and validated to find constrained solutions that differ from those generated by the traditional models. Moreover, by identifying the critical set of the network, the set of nodes common to all MDSets can be time‐consuming. Herein, the authors adopted the minimisation of metabolic adjustment (MOMA) algorithm to develop a new framework, called maximisation of interaction adjustment (MOIA). In MOIA, they provide three models; the first one generates two MDSets with a minimum number of shared proteins, the second model generates constrained multiple MDSets (‐MDSets), and the third model generates user‐defined MDSets, containing the maximum number of essential genes and/or other important genes of the PPI network. In practice, these models significantly reduce the cost of finding the critical set and classifying the graph nodes. Herein, the authors termed the critical set as the ‐critical set, where is the number of MDSets generated by the proposed model. Then, they defined a new set of proteins called the ‐critical set, where each node belongs to MDSets. This set has been shown to be as important as the ‐critical set and contains many essential genes, transcription factors, and protein kinases as the ‐critical set. The ‐critical set can be used to extend the search for drug target proteins. Based on the performance of the MOIA models, the authors believe the proposed methods contribute to answering key questions about the MDSets of PPI networks, and their results and analysis can be extended to other network types.