bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED ARTICLE: An intelligent trading mechanism based on the group trading strategy portfolio to reduce massive loss by the grouping genetic algorithm
Authors: Chen Chun-Hao , Chen Yu-Hsuan , Diaz Vicente Garcia , Lin Jerry Chun-Wei 
Published: March 2021

AbstractIt is always difficult and challenge to obtain suitable trading signals for the desired securities in financial markets. The popular way to deal with it is through the use of trading strategies (TSs) made up of technical or fundamental indicators. Due to the different properties of TSs, an algorithm was proposed to find trading signals by obtaining the group trading strategy portfolio (GTSP), which is composed of strategy groups that can be employed to generate various TS portfolios (TSP) instead of a single TS. The stop-loss and take-profit points (SLTP) are widely utilized by shareholders to avoid massive losses. However, the appropriate SLTP is hard to set by users. Therefore, in this paper, the algorithm, namely GTSP-SLTP algorithm, is proposed to not only obtain a reliable GTSP but also find appropriate SLTP using the grouping genetic algorithm. A chromosome is encoded by the generated SLTP and GTSP along with the weights for strategy groups that are the SLTP, grouping, weight, and strategy parts. To assess the goodness of a chromosome, the evaluation function that consists of the group balance, weight balance, risk factor, and profit factor, is employed. Genetic operators are then performed to produce new solutions for next population. The genetic process is performed iteratively until the stop conditions have achieved. Last but not the least, empirical experiments were conducted on three financial datasets with different trends and a case study is also given to reveal the effectiveness and robustness of the designed GTSP-SLTP algorithm.
Another Look at Reflection
Authors: Fischer Martin 
Published: March 2021

AbstractReflection principles are of central interest in the development of axiomatic theories. Whereas they are independent statements they appear to have a specific epistemological status. Our trust in those principles is as warranted as our trust in the axioms of the system itself. This paper is an attempt in clarifying this special epistemic status. We provide a motivation for the adoption of uniform reflection principles by their analogy to a form of the constructive$$\omega $$ω-rule. Additionally, we analyse the role of informal arithmetic and the conception of natural numbers as an inductive structure, also with regard to extra conceptual resources such as a primitive truth predicate.
Inequality, role reversal and cooperation in multiple group membership settings
Authors: Lange Andreas , Schmitz Jan , Schwirplies Claudia 
Published: March 2021

AbstractWe investigate the role of endowment inequality in a local and global public goods setting with multiple group membership and examine the effect of temporal role reversal on cooperation decisions. Subjects can contribute to a global public good which benefits all subjects and two local public goods which benefit only subjects of either their own group or the group of the other endowment type. Endowment inequality per-se decreases contributions of subjects with a high endowment to the global public good, but increases cooperation of subjects with a low endowment on their local public good, thereby aggravating income disparities. Exogenously induced role reversal for several periods affects cooperation behavior of subjects with a high endowment positively and induces them to contribute more to the global good. Cooperation in unequal environments thus appears to be more stable when all parties have experienced the public goods game from the disadvantageous perspective.
Non-malignant conjunctival epithelial masses with ocular surface squamous neoplasia-like optical coherence tomography features
Authors: Füst Ágnes , Tóth Jeannette , Imre László , Nagy Zoltán Zsolt 
Published: March 2021

AbstractPurposeTo observe and describe the anterior segment optical coherence tomography features of limbally localised non-malignant epithelial mass lesionsMethodsThirteen patients (age: 66.9 ± 16.3 years) with conjunctival mass suggesting ocular surface squamous neoplasia with biomicroscopic examination were imaged using anterior segment ocular coherence tomography (anterior segment optical coherence tomography)/Cirrus HD-OCT, Model 4000, Carl Zeiss Meditec, Inc., Dublin, CA, and Spectralis HRA + OCT system, Heidelberg Engineering, Vista, CA/. Cases with ocular surface squamous neoplasia-like anterior segment optical coherence tomography (hyperreflective, thickened epithelium and an abrupt transition from normal to abnormal) were included in the study. Maximal thickness of the epithelium was measured. Histological diagnosis was gained from an excisional or incisional biopsy or impression cytology specimens.ResultsIn six patients (age: 68.5 ± 15.4 years) with ocular surface squamous neoplasia-like anterior segment optical coherence tomography features, the histological diagnosis was other than ocular surface squamous neoplasia (papilloma, parakeratosis and a keratotic plaque with mild dysplasia), and ocular surface squamous neoplasia in seven cases (age: 65.6 ± 18.0 years). The maximal epithelial thickness was between 250 and 859 µm in non-ocular surface squamous neoplasia cases and between 252 and 596 µm in ocular surface squamous neoplasia cases.ConclusionNon-malignant epithelial lesions can mimic ocular surface squamous neoplasia on anterior segment optical coherence tomography.
Online Gambling Activity, Pay-to-Win Payments, Motivation to Gamble and Coping Strategies as Predictors of Gambling Disorder Among e-sports Bettors
Authors: Lelonek-Kuleta Bernadeta , Bartczuk Rafał Piotr 
Published: March 2021

AbstractResearch on esports activity usually captures it from the perspective of involvement in gaming. This study presents the results of the first research in Poland (N = 438) on esports betting (ESB). ESB is compared to other forms of e-gambling and involvement in pay-to-win games. The aim was to build a predictive model of gambling disorder among people betting on esports. A predictive model of gambling disorder based on ordinal regression was built, including sociodemographic variables, involvement in esports betting, involvement in other Internet activities connected to ESB, as well as psychological variables—motivation to gamble and coping strategies. The results showed that gambling disorder among esports bettors is associated with time spent on one game session, placing other forms of online gambling bets once a week or more often, and paying in pay-to-win games. Gambling disorder was also predicted by escape coping strategies and lower engaged strategies as well as financial and coping motivation to bet on esports results. The results show the crucial role of psychological factors (motivation, coping) in the development of esports betting addiction. Esports betting is an activity associated with both gambling and gaming—involvement in both activities explains the development of ESB addiction. There is a need for further research focused on the specificity of esports betting behavior to discover the direction of links among gaming, gambling, and esports gambling.
First-episode Psychosis and Migration in Italy: Results from a Study in the Italian Mental Health Services (Pep-Ita Study)
Authors: Tarricone Ilaria , D’Andrea Giuseppe , Storbini Viviana , Braca Mauro , Ferrari Silvia , Reggianini Corinna , Rigatelli Marco , Gramaglia Carla , Zeppegno Patrizia , Gambaro Eleonora , Luciano Mario , Ceregato Alessio , Altamura Mario , Barrasso Giuseppe , Primavera Diego , Carpiniello Bernardo , Todarello Orlando , Berlincioni Vanna , Podavini Francesca , Morgan Craig , Murray Robin M. , Di Forti Marta , Muratori Roberto , Berardi Domenico 
Published: March 2021

AbstractBackground: Migrants present high rates of psychosis. A better understanding of this phenomenon is needed. Methods: We conducted a multicentre First-Episode Psychosis (FEP) prospective study over two years (January 2012–December 2013) to evaluate first-generation migrants presenting with FEP at the participating Community Mental Health Centers (CMHCs). Results: 109 FEP migrants were identified. Almost half of them were highly educated, employed and in a stable affective relationship. The average age was 32.8 (± 9.8) years, and the average length of stay in Italy was 8.6 (± 8.8) years. About 2/3 of patients were referred to CMHCs following Emergency Department access or psychiatric admission. Conclusions: Our finding of a “high functioning portrait” of FEP migrants allow us to hypothesize that a high burden of negative psychosocial factors is likely to be needed for the FEP onset. Furtherly, mental health services should implement more appropriate resources and organizational methods to respond to migrants’ health needs.
Heat kernels of the discrete Laguerre operators
Authors: Kostenko Aleksey 
Published: March 2021

AbstractFor the discrete Laguerre operators we compute explicitly the corresponding heat kernels by expressing them with the help of Jacobi polynomials. This enables us to show that the heat semigroup is ultracontractive and to compute the corresponding norms. On the one hand, this helps us to answer basic questions (recurrence, stochastic completeness) regarding the associated Markovian semigroup. On the other hand, we prove the analogs of the Cwiekel–Lieb–Rosenblum and the Bargmann estimates for perturbations of the Laguerre operators, as well as the optimal Hardy inequality.
A modular framework for distributed model predictive control of nonlinear continuous-time systems (GRAMPC-D)
Authors: Burk Daniel , Völz Andreas , Graichen Knut 
Published: March 2021

AbstractThe modular open-source framework GRAMPC-D for model predictive control of distributed systems is presented in this paper. The modular concept allows to solve optimal control problems in a centralized and distributed fashion using the same problem description. It is tailored to computational efficiency with the focus on embedded hardware. The distributed solution is based on the alternating direction method of multipliers and uses the concept of neighbor approximation to enhance convergence speed. The presented framework can be accessed through C++ and Python and also supports plug-and-play and data exchange between agents over a network.
Evidence Production in Merger Control: The Role of Remedies
Authors: Dertwinkel-Kalt Markus , Wey Christian 
Published: March 2021

AbstractWe analyze evidence production in merger control as a delegation problem in an inquisitorial competition policy system. The antitrust agency’s incentives to produce evidence on the efficiency of a merger proposal depend critically on its action set. Allowing for a compromising remedy solution reduces information acquisition incentives, and could therefore reduce consumer welfare. The effort-frustrating effect of the remedy solution can be eliminated if a remedy solution can be implemented only after evidence on the efficiency of a merger proposal has been produced.
Social Study Resources and Social Wellbeing Before and During the Intelligent COVID-19 Lockdown in The Netherlands
Authors: van Zyl Llewellyn Ellardus 
Published: March 2021

AbstractThe first intelligent COVID-19 lockdown resulted in radical changes within the tertiary educational system within the Netherlands. These changes posed new challenges for university students and many social welfare agencies have warned that it could have adverse effects on the social wellbeing (SWB) of university students. Students may lack the necessary social study-related resources (peer- and lecturer support) (SSR) necessary to aid them in coping with the new demands that the lockdown may bring. As such, the present study aimed to investigate the trajectory patterns, rate of change and longitudinal associations between SSR and SWB of 175 Dutch students before and during the COVID-19 lockdown. A piecewise latent growth modelling approach was employed to sample students’ experiences over three months. Participants to complete a battery of psychometric assessments for five weeks before the COVID-19 lockdown was implemented, followed by two directly after and a month follow-up. The results were paradoxical and contradicting to initial expectations. Where SSR showed a linear rate of decline before- and significant growth trajectory during the lockdown, SWB remained moderate and stable. Further, initial levels and growth trajectories between SSR and SWB were only associated before the lockdown.
Deep neural network-based fusion model for emotion recognition using visual data
Authors: Do Luu-Ngoc , Yang Hyung-Jeong , Nguyen Hai-Duong , Kim Soo-Hyung , Lee Guee-Sang , Na In-Seop 
Published: March 2021

AbstractIn this study, we present a fusion model for emotion recognition based on visual data. The proposed model uses video information as its input and generates emotion labels for each video sample. Based on the video data, we first choose the most significant face regions with the use of a face detection and selection step. Subsequently, we employ three CNN-based architectures to extract the high-level features of the face image sequence. Furthermore, we adjusted one additional module for each CNN-based architecture to capture the sequential information of the entire video dataset. The combination of the three CNN-based models in a late-fusion-based approach yields a competitive result when compared to the baseline approach while using two public datasets: AFEW 2016 and SAVEE.
Numerical and experimental investigations for distortion-reduced laser heat treatment of aluminum
Authors: Rigas Nikolaos , Merklein Marion 
Published: March 2021

AbstractIn the field of mobility, increased safety and emission requirements lead to steadily rising demands on materials used and their performance. Over the last decades, 5000 and 6000 series aluminum alloys have become more and more attractive as lightweight material due to their beneficial weight to strength ratio. The 7000 series offers extended lightweight potential due to its high strength. Until now, this class of alloys has not been widely used in mass production due to its limited corrosion resistance and poor forming behavior. By using so-called Tailor Heat Treated Blanks, it is possible to set increased forming limits of previously locally heat treated components. The reason for the enhanced formability is the local softening, with the resulting improved material flow and the reduced critical forming stresses of the sheet metal before the forming operation. Despite these advantages, the use of previously heat treated materials has been very limited so far. For example, the distortion that occurs during local heat treatment reduces geometrical accuracy and thus automated handling. Therefore, the focus of this thesis is the investigation of tailored heat treatment strategies, permitting a distortion-reduced local short-term heat treatment. For this purpose, the distortion behavior is represented and quantified both numerically and experimentally. The generated knowledge is then transferred to a large volume component and characterized.
Existence and exponential stability of almost-periodic solutions for MAM neural network with distributed delays on time scales
Authors: Gao Jin , Wang Qi-ru , Lin Yuan 
Published: March 2021

AbstractThis paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some sufficient conditions on the existence, uniqueness and the global exponential stability of almost-periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results.
Analysis method and algorithm design of biological sequence problem based on generalized k-mer vector
Authors: Liu Wen-li , Wu Qing-biao 
Published: March 2021

AbstractK-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in bioinformatics. We can use k-mer vector as a representation method of the k-mer distribution of the biological sequence. Problems, such as similarity calculations or sequence assembly, can be described in the k-mer vector space. It helps us to identify new features of an old sequence-based problem in bioinformatics and develop new algorithms using the concepts and methods from linear space theory. In this study, we defined the k-mer vector space for the generalized biological sequences. The meaning of corresponding vector operations is explained in the biological context. We presented the vector/matrix form of several widely seen sequence-based problems, including read quantification, sequence assembly, and pattern detection problem. Its advantages and disadvantages are discussed. Also, we implement a tool for the sequence assembly problem based on the concepts of k-mer vector methods. It shows the practicability and convenience of this algorithm design strategy.
Numerical Analysis of the Effects of Periodic Gust Flow on the Wake Structure of Ventilated Supercavities
Authors: Wang Wei , Zhang Zhigang , He Guanghua , Mo Weijie 
Published: March 2021

AbstractA computational model is established to investigate the effects of a periodic gust flow on the wake structure of ventilated supercavities. The effectiveness of the computational model is validated by comparing with available experimental data. Benefited from this numerical model, the vertical velocity characteristics in the entire flow field can be easily monitored and analyzed under the action of a gust generator; further, the unsteady evolution of the flow parameters of the closed region of the supercavity can be captured in any location. To avoid the adverse effects of mounting struts in the experiments and to obtain more realistic results, the wake structure of a ventilated supercavity without mounting struts is investigated. Unsteady changes in the wake morphology and vorticity distribution pattern of the ventilated supercavity are determined. The results demonstrate that the periodic swing of the gust generator can generate a gust flow and, therefore, generate a periodic variation of the ventilated cavitation number σ. At the peak σ, a re-entrant jet closure appears in the wake of the ventilated supercavity. At the valley σ, a twin-vortex closure appears in the wake of the ventilated supercavity. For the forward facing model, the twin vortex appears as a pair of centrally rolled-up vortices, due to the closure of vortex is affected by the structure. For the backward facing model, however, the twin vortex appears alternately as a pair of centrally rolled-up vortices and a pair of centrally rolled-down vortices, against the periodic gust flow.
Early warning scores and critical care transfer – patient heterogeneity, low sensitivity, high mortality
Authors: Nestor Claire C. , Donnelly Maria , Connors Siobhán , Morrison Patricia , Boylan John 
Published: March 2021

Abstract
Background
Emergency warning systems (EWS) are becoming a standard of care, but have unproven screening value in early critical illness. Similarly, emergency response team (ERT) care is of uncertain value. These questions are most controversial in mixed patient populations, where screening performance might vary, and intensivist-led ERT care might divert resources from existing patients.

Aims
To examine triggering events, disposition and outcome data for an intensivist-staffed EWS-ERT system.

Methods
We analysed process and outcome data over three years, classing EWS-triggered patients into three categories (non-escalated, escalated ward care and critical care transfer). The relationships between EWS data, pre-triggering clinical data, and patient disposition and outcome were examined.

Results
There were 1675 calls in 1190 patients. Most occurred later during admission, with critical care transfer in a minority; the rest were followed by escalated or non-escalated ward care. Patients transferred to critical care had high mortality (40.3%); less than half of patient transfers occurred following triggering EWS score predicted overall hospital mortality, but not mortality after critical care.

Conclusions
In a diverse hospital population, most triggering patients did not receive critical care and most critical care transfers occurred without triggering. Triggering was an insensitive screening measure for critical illness, followed by poor outcome. Higher scores predicted higher probability of transfer, but not later mortality, suggesting that EWS is being used as a decision aid but is not a true severity of illness score. Other, non-EWS data are needed for earlier detection and for prioritizing access to critical care.
Lipid Lowering Drugs: Present Status and Future Developments
Authors: Ruscica Massimiliano , Ferri Nicola , Santos Raul D. , Sirtori Cesare R. , Corsini Alberto 
Published: March 2021

Abstract
Purpose of review
Based on the recent data of the DA VINCI study, it is clear that, besides utilization of statins, there is a need to increase non-statin lipid lowering approaches to reduce the cardiovascular burden in patients at highest risk.

Recent findings
For hypercholesterolemia, the small synthetic molecule bempedoic acid has the added benefit of selective liver activation, whereas inclisiran, a hepatic inhibitor of the PCSK9 synthesis, has comparable effects with PCSK9 monoclonal antibodies. For hypertriglyceridemia, cardiovascular benefit has been achieved by the use of icosapent ethyl, whereas results with pemafibrate, a selective agonist of PPAR-α, are eagerly awaited. In the era of RNA-based therapies, new options are offered to dramatically reduce levels of lipoprotein(a) (APO(a)LRX) and of triglycerides (ANGPTL3LRX and APOCIII-LRx).

Summary
Despite the demonstrated benefits of statins, a large number of patients still remain at significant risk because of inadequate LDL-C reduction or elevated blood triglyceride-rich lipoproteins or lipoprotein(a). The area of lipid modulating agents is still ripe with ideas and major novelties are to be awaited in the next few years.
Development of central auditory processes in Polish children and adolescents at the age from 7 to 16 years
Authors: Lewandowska Monika , Milner Rafał , Ganc Małgorzata , Włodarczyk Elżbieta , Dołżycka Joanna , Skarżyński Henryk 
Published: March 2021

AbstractThere are discrepancies in the literature regarding the course of central auditory processes (CAP) maturation in typically developing children and adolescents. The purpose of the study was to provide an overview of age – related improvement in CAP in Polish primary and secondary school students aged 7–16 years. 180 children/adolescents, subdivided into 9 age categories, and 20 adults (aged 18–24 years) performed the Dichotic Digit Test (DDT), Duration Pattern Test (DPT), Frequency Pattern Test (FPT), Gap Detection Test (GDT) and adaptive Speech-in-Noise (aSpN). The 12-year-olds was retested after w week. We found the age effects only for the DDT, DPT and FPT. In the right ear DDT the 7-year-olds performed more poorly than all groups ≥12. In the left ear DDT both 7- and 8-year-olds achieved less correct responses compared with the 13-, 14-, 15-year-olds and with the adults. The right ear advantage was greater in the 7-year-olds than in the 15-year-olds and adult group. At the age of 7 there was lower DPT and FPT scores than in all participants ≥13 whereas the 8-year-olds obtained less correct responses in the FPT than all age categories ≥12. Almost all groups (except for the 7-year-olds) performed better in the DPT than FPT. The test-retest reliability for all tests was satisfactory. The study demonstrated that different CAP have their own patterns of improvement with age and some of them are specific for the Polish population. The psychoacoustic battery may be useful in screening for CAP disorders in Poland.