bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data Augmentation techniques in time series domain: a survey and taxonomy
Authors: Iglesias Guillermo , Talavera Edgar , González-Prieto Ángel , Mozo Alberto , Gómez-Canaval Sandra 
Published: March 2023

AbstractWith the latest advances in deep learning-based generative models, it has not taken long to take advantage of their remarkable performance in the area of time series. Deep neural networks used to work with time series heavily depend on the size and consistency of the datasets used in training. These features are not usually abundant in the real world, where they are usually limited and often have constraints that must be guaranteed. Therefore, an effective way to increase the amount of data is by using data augmentation techniques, either by adding noise or permutations and by generating new synthetic data. This work systematically reviews the current state of the art in the area to provide an overview of all available algorithms and proposes a taxonomy of the most relevant research. The efficiency of the different variants will be evaluated as a central part of the process, as well as the different metrics to evaluate the performance and the main problems concerning each model will be analysed. The ultimate aim of this study is to provide a summary of the evolution and performance of areas that produce better results to guide future researchers in this field.
Potential role of vitamin D levels in amyotrophic lateral sclerosis cognitive impairment
Authors: De Marchi Fabiola , Saraceno Massimo , Sarnelli Maria Francesca , Virgilio Eleonora , Cantello Roberto , Mazzini Letizia 
Published: March 2023

AbstractCognitive impairment (CI) is common in amyotrophic lateral sclerosis (ALS): a keystone is identifying factors that could potentially modify the CI course. In recent years, vitamin D is becoming a potential modificatory factor for CI in many neurological disorders. This study aimed to highlight if vitamin D deficiency correlated with CI and clinical features in a cohort of ALS patients. We included 55 ALS patients with a neuropsychological evaluation (classified with the Strong Criteria) and a vitamin D dosage at the diagnosis. We also reviewed medical records and completed data for medical history, physical and neurological examination, and functional scales. At the diagnosis, 30 patients (54%) had CI. Most patients (82%) displayed low vitamin D levels (19.87 ± 9.80 ng/ml). Comparing the vitamin D level between patients with and without CI, we observed significantly lower values in the first group (15.8 ± 8.2 vs. 22.0 ± 9.7 ng/ml, p: 0.04). In the spinal female subgroup (n = 15), we found an inverse correlation between vitamin D and bizarreness score in the cognitive estimates test (r = 0.58; p: 0.04) and a positive correlation with the Corrected Raven’s Standard Progressive Matrices (r = 0.53, p: 0.04). Conversely, in the bulbar female group, we observed a correlation with the corrected direct span (r = 0.84, p: 0.03). With the log-rank survival analysis, we found that the patients with vitamin D < 10 ng/ml had a shorter disease duration (Chi: 5.78, p: 0.02). Our results indicate that levels of vitamin D can influence the cognitive status of people living with ALS and that severe deficits might be an adverse prognostic survival factor.
Gradient regularization of Newton method with Bregman distances
Authors: Doikov Nikita , Nesterov Yurii 
Published: March 2023

AbstractIn this paper, we propose a first second-order scheme based on arbitrary non-Euclidean norms, incorporated by Bregman distances. They are introduced directly in the Newton iterate with regularization parameter proportional to the square root of the norm of the current gradient. For the basic scheme, as applied to the composite convex optimization problem, we establish the global convergence rate of the order $$O(k^{-2})$$

O
(

k

-
2

)

both in terms of the functional residual and in the norm of subgradients. Our main assumption on the smooth part of the objective is Lipschitz continuity of its Hessian. For uniformly convex functions of degree three, we justify global linear rate, and for strongly convex function we prove the local superlinear rate of convergence. Our approach can be seen as a relaxation of the Cubic Regularization of the Newton method (Nesterov and Polyak in Math Program 108(1):177–205, 2006) for convex minimization problems. This relaxation preserves the convergence properties and global complexities of the Cubic Newton in convex case, while the auxiliary subproblem at each iteration is simpler. We equip our method with adaptive search procedure for choosing the regularization parameter. We propose also an accelerated scheme with convergence rate $$O(k^{-3})$$

O
(

k

-
3

)

, where k is the iteration counter.
Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football
Authors: Smit Andries , Engelbrecht Herman A. , Brink Willie , Pretorius Arnu 
Published: March 2023

AbstractRobotic football has long been seen as a grand challenge in artificial intelligence. Despite recent success of learned policies over heuristics and handcrafted rules in general, current teams in the simulated RoboCup football leagues, where autonomous agents compete against each other, still rely on handcrafted strategies with only a few using reinforcement learning directly. This limits a learning agent’s ability to find stronger high-level strategies for the full game. In this paper, we show that it is possible for agents to learn competent football strategies on a full 22 player setting using limited computation resources (one GPU and one CPU), from tabula rasa through self-play. To do this, we build a 2D football simulator with faster simulation times than the RoboCup simulator. We propose various improvements to the standard single-agent PPO training algorithm which help it scale to our multi-agent setting. These improvements include (1) using a policy and critic network with an attention mechanism that scales linearly in the number of agents, (2) sharing networks between agents which allow for faster throughput using batching, and (3) using Polyak averaged opponents, league opponents and freezing the opponent team when necessary. We show through experimental results that stable training in the full 22 player setting is possible. Agents trained in the 22 player setting learn to defeat a variety of handcrafted strategies, and also achieve a higher win rate compared to agents trained in the 4 player setting and evaluated in the full game.
A systematic review of artificial intelligence impact assessments
Authors: Stahl Bernd Carsten , Antoniou Josephina , Bhalla Nitika , Brooks Laurence , Jansen Philip , Lindqvist Blerta , Kirichenko Alexey , Marchal Samuel , Rodrigues Rowena , Santiago Nicole , Warso Zuzanna , Wright David 
Published: March 2023

AbstractArtificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, from energy distribution to marketing, but it also raises concerns about undesirable ethical and social consequences. AI impact assessments (AI-IAs) are a way of identifying positive and negative impacts early on to safeguard AI’s benefits and avoid its downsides. This article describes the first systematic review of these AI-IAs. Working with a population of 181 documents, the authors identified 38 actual AI-IAs and subjected them to a rigorous qualitative analysis with regard to their purpose, scope, organisational context, expected issues, timeframe, process and methods, transparency and challenges. The review demonstrates some convergence between AI-IAs. It also shows that the field is not yet at the point of full agreement on content, structure and implementation. The article suggests that AI-IAs are best understood as means to stimulate reflection and discussion concerning the social and ethical consequences of AI ecosystems. Based on the analysis of existing AI-IAs, the authors describe a baseline process of implementing AI-IAs that can be implemented by AI developers and vendors and that can be used as a critical yardstick by regulators and external observers to evaluate organisations’ approaches to AI.
IDILIM: incident detection included linear management using connected autonomous vehicles
Authors: Gokasar Ilgin , Timurogullari Alperen , Ozkan Sarp Semih , Deveci Muhammet 
Published: March 2023

AbstractAutonomous vehicle advancements and communication technologies such as V2V, V2I, and V2X have enabled the development of connected and autonomous vehicles. Because CAVs are directly effective in traffic, their application in traffic management and incident management appears promising. They can immediately begin regulating traffic and acting as sensors due to their connectivity to the infrastructure. This research proposes Incident Detection Included Linear Management (IDILIM), a CAV-based incident management algorithm that regulates CAV and traffic speeds based on dynamic and predicted shockwave speeds. The SUMO simulations are carried out on a 10.4-km-long, three-lane facility with 21 sensors every 500 m. In the scenarios, three traffic demands, eleven CAV penetration rates, and varying incident locations, duration, and lanes are used. A total of 20 simulation seeds are used in each scenario. The proposed algorithm necessitates the use of a reliable traffic prediction model. Convolutional Neural Networks, a deep learning algorithm with high estimation accuracy, are used in the prediction model. IDILIM uses the highly accurate traffic prediction output of the Pix-to-Pix model as input at 3-min intervals. Shockwave speed is calculated using model outputs and fed to CAVs. To compare with IDILIM, variable speed limits (VSL) are also modeled. When compared to uncontrolled base scenarios, IDILIM reduced density values greater than 35 veh/km in the critical region by 89.32%. In the same scenario, VSL management decreased by only 52.43%.
Market Participation, Self-respect, and Risk Tolerance
Authors: Cordasco Carlo Ludovico , Cowen Nick 
Published: March 2023

AbstractHow important is the experience of risk in business endeavors for self-respect and moral development? Tomasi prompts this question with his attempt to reconcile Rawls’s theory of justice as fairness with free-market capitalism, by claiming that economic activity is a way for people to exercise their autonomy, responsibility, and self-authorship, including through voluntary risk-taking. Critics argue that the social environment generated through market institutions is ill-suited for developing a sense of responsibility and autonomy among citizens. We refine the case for economic liberty by looking at the link between risk-taking and attitudes toward democratic citizenship. We highlight the critical role of ethical business practice as a contributor to the stability of liberal-democratic societies.
Management of Depression in Chronic Care Patients Using a Task-Sharing Approach in a Real-World Primary Health Care Setting in South Africa: Outcomes of a Cohort Study
Authors: Kathree Tasneem , Bachmann Max , Bhana Arvin , Grant Merridy , Mntambo Ntokozo , Gigaba Sithabisile , Kemp C. G. , Rao Deepa , Petersen Inge 
Published: March 2023

AbstractDepressive symptoms are common in South African primary care patients with chronic medical conditions, but are usually unrecognised and untreated. This study evaluated an integrated, task-sharing collaborative approach to management of depression comorbid with chronic diseases in primary health care (PHC) patients in a real-world setting. Existing HIV clinic counsellors provided a manualised depression counselling intervention with stepped-up referral pathways to PHC doctors for initiation of anti-depressant medication and/ or referral to specialist mental health services. Using a comparative group cohort design, adult PHC patients in 10 PHC facilities were screened with the Patient Health Questionnaire-9 with those scoring above the validated cut-off enrolled. PHC nurses independently assessed, diagnosed and referred patients. Referral for treatment was independently associated with substantial improvements in depression symptoms three months later. The study confirms the viability of task-shared stepped-up collaborative care for depression treatment using co-located counselling in underserved real-world PHC settings.
Effect of flipped classroom and automatic source code evaluation in a CS1 programming course according to the Kirkpatrick evaluation model
Authors: Mosquera Jose Miguel Llanos , Suarez Carlos Giovanny Hidalgo , Guerrero Victor Andres Bucheli 
Published: March 2023

Abstract
This paper proposes to evaluate learning efficiency by implementing the flipped classroom and automatic source code evaluation based on the Kirkpatrick evaluation model in students of CS1 programming course. The experimentation was conducted with 82 students from two CS1 courses; an experimental group (EG = 56) and a control group (CG = 26). Each student in each group completed 15 programming tasks. The level of knowledge of the participants acquired between the two groups is measured using the Kirkpatrick model, taking as a source a pre-test of previous knowledge, the grade assessment, the time of the activities, and a post-test of learning achieved. When comparing the submits time between the experimental and control group, it is observed that the value of the means is similar for the EG and CG; in this case, time is not a factor for comparison between the groups. However, in the grading, the value of the means is different for the EG and CG; EG students scored better than CG students. The evaluation of the Kirkpatrick model shows that the strategy implemented, on the one hand, does not improve the time of the activities; on the other hand, it improves the grades in the CS1 course.
Latent profiles of cyberbullying among university students and its relationship with social anxiety and aggressiveness
Authors: Aparisi David , Delgado Beatriz , Bo Rosa María 
Published: March 2023

Abstract
Cyberbullying has generated interest for researchers in the field of psychology and education in recent years. While most studies have focused on samples of adolescents, the university environment also deserves special attention due to its serious consequences on students. It is therefore very important to prevent cyberbullying in the context of university. The objectives of this study were to identify different profiles regarding cyberbullying and cybervictimization behaviors and examine the relationship between cyberbullying, social anxiety, and aggressiveness. A total of 1,368 university students participated in the study by completing the European Bullying Intervention Project Questionnaire (EBIPQ), the Social Anxiety Questionnaire for Adults (CASO-A30), and the Aggression Questionnaire (AQ). The latent profile analysis identified three cyberbullying profiles: a first group with low scores in cyberaggression and cybervictimization (not involved; 87.6%), a second group with moderately high scores in cyberaggression and cybervictimization (victimized cyberbullies; 10%), and a third group with high scores in cybervictimization and very high scores in cyberaggression (cyberbullies; 2.4%). The profile of “victimized cyberbullies” students presents higher scores in physical, verbal, anger, and hostility than the group of “not involved” students, while no differences in social anxiety were found between the groups analysed. Cyberbullying preventive programs should focus on the management of aggressive behaviors for those who have moderate scores in cybervictimization and cyberbullying behaviors, and social anxiety may not be differentiated between cyberbullying groups at this academic stage.
Stable Möbius Bands from Isometrically Deformed Circular Helicoids
Authors: Chaurasia Vikash , Fried Eliot 
Published: March 2023

AbstractWe consider the problem of producing a ruled Möbius band by subjecting an unstretchable, homogeneous, isotropic, elastic material surface material surface in a circular helicoidal reference configuration to a deformation that is isometric and chirality preserving. We find that such a Möbius band is completely determined by the unit binormal of the Frenet frame of its midline, which must be a geodesic and must have uniform torsion inversely proportional to the pitch of the helicoidal reference configuration. Granted that the energy density of the material surface depends quadratically on the mean curvature of its deformed configuration, we show that the total energy stored in producing a ruled Möbius band as described reduces, in closed form and without approximation, to an integral over the midline of the Möbius band. We formulate and numerically solve a constrained variational problem for finding relative minima of the dimensionally reduced bending energy and construct corresponding stable Möbius bands. The only input parameter entering our variational problem is the number $\nu $
ν
of turns in a helicoidal reference configuration. We only find solutions if $\nu $
ν
exceeds a certain threshold, which we compute to machine precision. Above that threshold, an interplay between the operative constraints leads to a multiplicity of coexisting stable solutions with $n\ge 3$
n
≥
3
half twists. For each $n\ge 3$
n
≥
3
, we construct an energetically optimal Möbius band which exhibits $n$
n
-fold rotational symmetry. All other energy minima yield Möbius bands which lack symmetry. To our knowledge, this study contains the first examples of stable Möbius bands produced by isometrically deforming reference configurations that are not flat.
Responsible Agency and the Importance of Moral Audience
Authors: Jefferson Anneli , Sifferd Katrina 
Published: March 2023

AbstractEcological accounts of responsible agency claim that moral feedback is essential to the reasons-responsiveness of agents. In this paper, we discuss McGeer’s scaffolded reasons-responsiveness account in the light of two concerns. The first is that some agents may be less attuned to feedback from their social environment but are nevertheless morally responsible agents – for example, autistic people. The second is that moral audiences can actually work to undermine reasons-responsiveness if they espouse the wrong values. We argue that McGeer’s account can be modified to handle both problems. Once we understand the specific roles that moral feedback plays for recognizing and acting on moral reasons, we can see that autistics frequently do rely on such feedback, although it often needs to be more explicit. Furthermore, although McGeer is correct to highlight the importance of moral feedback, audience sensitivity is not all that matters to reasons-responsiveness; it needs to be tempered by a consistent application of moral rules. Agents also need to make sure that they choose their moral audiences carefully, paying special attention to receiving feedback from audiences which may be adversely affected by their actions.
Perspectives on the implications of carrying putative pathogenic variants in the medulloblastoma predisposition genes ELP1 and GPR161
Authors: Smith Miriam J , Woodward Emma R , Evans D Gareth 
Published: March 2023

AbstractRecent genetic sequencing studies in large series’ of predominantly childhood medulloblastoma have implicated loss-of-function, predominantly truncating, variants in the ELP1 and GPR161 genes in causation of the MBSHH subtype specifically. The latter association, along with a report of an index case with some features of Gorlin syndrome has led to speculation that GPR161 may also cause Gorlin syndrome. We show that these genes are associated with relatively low absolute risks of medulloblastoma from extrapolating lifetime risks in the general population and odds ratios from the population database gnomAD. The projected risks are around 1 in 270–430 for ELP1 and 1 in 1600–2500 for GPR161. These risks do not suggest the need for MRI screening in infants with ELP1 or GPR161 variants as this is not currently recommended for PTCH1 where the risks are equivalent or higher. We also screened 27 PTCH1/SUFU pathogenic variant-negative patients with Gorlin syndrome for GPR161 and found no suspicious variants. Given the population frequencies of 0.0962% for GPR161 and 0.0687% for ELP1, neither of these genes can be a cause of Gorlin syndrome with an unexplained population frequency far lower at 0.0021%.
Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19
Authors: Helmy Mina A. , Milad Lydia M. , Hasanin Ahmed M. , Mostafa Maha , Mannaa Asser H. , Youssef Marianne M. , Abdelaziz Mahmoud , Alkonaiesy Ramy , Elshal Mamdouh Mahmoud , Hosny Osama 
Published: March 2023

AbstractWe aimed to evaluate the ability of parasternal intercostal thickening fraction (PIC TF) to predict the need for mechanical ventilation, and survival in subjects with severe Coronavirus disease-2019 (COVID-19). This prospective observational study included adult subjects with severe COVID-19. The following data were collected within 12 h of admission: PIC TF, respiratory rate oxygenation index, $${{{\text{P}}_{{{\text{aO}}_{{\text{2}}} }} } \mathord{\left/ {\vphantom {{{\text{P}}_{{{\text{aO}}_{{\text{2}}} }} } {{\text{F}}_{{{\text{iO}}_{{\text{2}}} }} }}} \right. \kern-\nulldelimiterspace} {{\text{F}}_{{{\text{iO}}_{{\text{2}}} }} }}$$

P

aO
2

/

F

iO
2

ratio, chest CT, and acute physiology and chronic health evaluation II score. The ability of PIC TF to predict the need for ventilatory support (primary outcome) and a composite of invasive mechanical ventilation and/or 30-days mortality were performed using the area under the receiver operating characteristic (AUC) analysis. Multivariate analysis was done to identify the independent predictors for the outcomes. Fifty subjects were available for the final evaluation. The AUC (95% confidence interval [CI]) for the right and left PIC TF ability to predict the need for ventilator support was 0.94 (0.83–0.99), 0.94 (0.84–0.99), respectively, with a cut off value of > 8.3% and positive predictive value of 90–100%. The AUC for the right and left PIC TF to predict invasive mechanical ventilation and/or 30 days mortality was 0.95 (0.85–0.99) and 0.90 (0.78–0.97), respectively. In the multivariate analysis, only the PIC TF was found to independently predict invasive mechanical ventilation and/or 30-days mortality. In subjects with severe COVID-19, PIC TF of 8.3% can predict the need to ventilatory support with a positive predictive value of 90–100%. PIC TF is an independent risk factor for the need for invasive mechanical ventilation and/or 30-days mortality.
The Brain Disorders Debate, Chekhov, and Mental Health Humanities
Authors: Valtonen Jussi , Lewis Bradley 
Published: March 2023

AbstractThe contemporary brain disorders debate echoes a century-long conflict between two different approaches to mental suffering: one that relies on natural sciences and another drawing from the arts and humanities. We review contemporary neuroimaging studies and find that neither side has won. The study of mental differences needsboththe sciences and the arts and humanities. To help develop an approach mindful of both, we turn to physician-writer Anton Chekhov’s story “A Nervous Breakdown.” We review the value of the arts and humanities as a coequal partner with natural sciences in the creation of a robust mental health humanities.