bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scattering from production in 2d
Authors: Tourkine Piotr , Zhiboedov Alexander 
Published: July 2021

Abstract
In 1968, Atkinson proved the existence of functions that satisfy all S-matrix axioms in four spacetime dimensions. His proof is constructive and to our knowledge it is the only result of this type. Remarkably, the methods to construct such functions used in the proof were never implemented in practice. In the present paper, we test the applicability of those methods in the simpler setting of two-dimensional S-matrices. We solve the problem of reconstructing the scattering amplitude starting from a given particle production probability. We do this by implementing two numerical iterative schemes (fixed-point iteration and Newton’s method), which, by iterating unitarity and dispersion relations, converge to solutions to the S-matrix axioms. We characterize the region in the amplitude-space in which our algorithms converge, and discover a fractal structure connected to the so-called CDD ambiguities which we call “CDD fractal”. To our surprise, the question of convergence naturally connects to the recent study of the coupling maximization in the two-dimensional S-matrix bootstrap. The methods exposed here pave the way for applications to higher dimensions, and expose some of the potential challenges that will have to be overcome.
Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods
Authors: Tulsulkar Gauri , Mishra Nidhi , Thalmann Nadia Magnenat , Lim Hwee Er , Lee Mei Ping , Cheng Siok Khoong 
Published: July 2021

AbstractSocial Assistive Robotics is increasingly being used in care settings to provide psychosocial support and interventions for the elderly with cognitive impairments. Most of these social robots have provided timely stimuli to the elderly at home and in care centres, including keeping them active and boosting their mood. However, previous investigations have registered shortcomings in these robots, particularly in their ability to satisfy an essential human need: the need for companionship. Reports show that the elderly tend to lose interests in these social robots after the initial excitement as the novelty wears out and the monotonous familiarity becomes all too familiar. This paper presents our research facilitating conversations between a social humanoid robot, Nadine, and cognitively impaired elderly at a nursing home. We analysed the effectiveness of human–humanoid interactions between our robot and 14 elderly over 29 sessions. We used both objective tools (based on computer vision methods) and subjective tools (based on observational scales) to evaluate the recorded videos. Our findings showed that our subjects engaged positively with Nadine, suggesting that their interaction with the robot could improve their well-being by compensating for some of their emotional, cognitive, and psychosocial deficiencies. We detected emotions associated with cognitively impaired elderly during these interactions. This study could help understand the expectations of the elderly and the current limitations of Social Assistive Robots. Our research is aligned with all the ethical recommendations by the NTU Institutional Review Board.
The Evolving Phenotypes of Cardiovascular Disease during COVID-19 Pandemic
Authors: Correale Michele , Croella Francesca , Leopizzi Alessandra , Mazzeo Pietro , Tricarico Lucia , Mallardi Adriana , Fortunato Martino , Magnesa Michele , Ceci Vincenzo , Puteo Alessandra , Iacoviello Massimo , Di Biase Matteo , Brunetti Natale Daniele 
Published: July 2021

AbstractCOVID-19 pandemic has negatively impacted the management of patients with acute and chronic cardiovascular disease: acute coronary syndrome patients were often not timely reperfused, heart failure patients not adequately followed up and titrated, atrial arrhythmias not efficaciously treated and became chronic. New phenotypes of cardiovascular patients were more and more frequent during COVID-19 pandemic and are expected to be even more frequent in the next future in the new world shaped by the pandemic. We therefore aimed to briefly summarize the main changes in the phenotype of cardiovascular patients in the COVID-19 era, focusing on new clinical challenges and possible therapeutic options.
Model Teachers or Model Students? A Comparison of Video Modelling Interventions for Improving Reading Fluency and Comprehension in Children with Autism
Authors: Egarr Rachael , Storey Catherine 
Published: July 2021

AbstractVideo modelling (VM) interventions have been used to improve the fluency of individuals with learning disabilities and reading difficulties; this study aimed to replicate these findings with autism spectrum disorder (ASD) students. Four children with ASD (aged between 8 and 15) experienced two VM interventions, across 10 sessions, during an alternating treatments design: VM using a teacher model, and feedforward video self-modelling (FFVSM) where the student acted as the model. For two participants, FFVSM was found to be an effective intervention but overall, results for both interventions were inconsistent with previous research. Talking Mats Interviews were used to include these individuals within the social validation process of behavioural research.
Weak and Strong Interaction of Excitation Kinks in Scalar Parabolic Equations
Authors: Pauthier Antoine , Rademacher Jens D. M. , Ulbrich Dennis 
Published: July 2021

AbstractMotivated by studies of the Greenberg-Hastings cellular automata (GHCA) as a caricature of excitable systems, in this paper we study kink-antikink dynamics in the perhaps simplest PDE model of excitable media given by the scalar reaction diffusion-type $$\theta $$
θ
-equations for excitable angular phase dynamics. On the one hand, we qualitatively study geometric kink positions using the comparison principle and the theory of terraces. This yields the minimal initial distance as a global lower bound, a well-defined sequence of collision data for kinks- and antikinks, and implies that periodic pure kink sequences are asymptotically equidistant. On the other hand, we study metastable dynamics of finitely many kinks using weak interaction theory for certain analytic kink positions, which admits a rigorous reduction to ODE. By blow-up type singular rescaling we show that distances become ordered in finite time, and eventually diverge. We conclude that diffusion implies a loss of information on kink distances so that the entropic complexity based on positions and collisions in the GHCA does not simply carry over to the PDE model.
A graph model for probabilities of nested conditionals
Authors: Wójtowicz Anna , Wójtowicz Krzysztof 
Published: July 2021

AbstractWe define a model for computing probabilities of right-nested conditionals in terms of graphs representing Markov chains. This is an extension of the model for simple conditionals from Wójtowicz and Wójtowicz (Erkenntnis, 1–35. 10.1007/s10670-019-00144-z, 2019). The model makes it possible to give a formal yet simple description of different interpretations of right-nested conditionals and to compute their probabilities in a mathematically rigorous way. In this study we focus on the problem of the probabilities of conditionals; we do not discuss questions concerning logical and metalogical issues such as setting up an axiomatic framework, inference rules, defining semantics, proving completeness, soundness etc. Our theory is motivated by the possible-worlds approach (the direct formal inspiration is the Stalnaker Bernoulli models); however, our model is generally more flexible. In the paper we focus on right-nested conditionals, discussing them in detail. The graph model makes it possible to account in a unified way for both shallow and deep interpretations of right-nested conditionals (the former being typical of Stalnaker Bernoulli spaces, the latter of McGee’s and Kaufmann’s causal Stalnaker Bernoulli models). In particular, we discuss the status of the Import-Export Principle and PCCP. We briefly discuss some methodological constraints on admissible models and analyze our model with respect to them. The study also illustrates the general problem of finding formal explications of philosophically important notions and applying mathematical methods in analyzing philosophical issues.
Tension and Other Idioms of Distress Among Slum Dwelling Young Men: A Qualitative Study of Depression in Urban Bangladesh
Authors: Wahid Syed Shabab , Sarker Malabika , Arafat A. S. M. Easir , Apu Arifur Rahman , Kohrt Brandon A. 
Published: July 2021

AbstractIn low- and middle-income countries (LMIC) it is vital to understand acceptable, comprehensive, and culturally appropriate ways of communicating about mental distress. Diagnostic terminology is rarely used, may be stigmatizing, and is subject to misinterpretation. Local terms, such as idioms of distress, can improve mental health literacy and service delivery. Our objective was to examine lived experience and coping connected to distress and depression in an under-researched population: young men from LMIC urban slums. We conducted 60 qualitative interviews with men (ages 18–29) in Bhashantek slum, Bangladesh. Themes were generated using thematic analysis and grounded theory techniques. The heart-mind (mon), mentality (manoshikota), mood (mejaj), head (matha or “brain”), and body (shorir) comprised the self-concept, and were related to sadness, hopelessness, anger, worry, and mental illness. The English word “tension” was the central idiom of distress. “Tension” existed on a continuum, from mild distress or motivational anxiety, to moderate distress including rumination and somatic complaints, to severe psychopathology including anhedonia and suicidality. Respondents connected “tension” to burnout experiences and mental illness which was summarized in an ethnopsychological model. These findings can inform culturally sensitive measurement tools and interventions that are acceptable to the community, potentially increasing engagement and enhancing therapeutic outcomes.
Green manure effect on the ability of native and inoculated soil bacteria to mobilize zinc for wheat uptake (Triticum aestivum L.)
Authors: Costerousse Benjamin , Quattrini Joel , Grüter Roman , Frossard Emmanuel , Thonar Cécile 
Published: July 2021

AbstractPurposeGreen manuring can increase the plant available fraction of zinc (Zn) in soil, making it a potential approach to increase wheat Zn concentrations and fight human Zn deficiency. We tested whether green manure increases the ability of both the native soil bacteria and inoculated Zn solubilizing bacteria (ZSB) to mobilize Zn.MethodsWheat was grown in a pot experiment with the following three factors (with or without); (i) clover addition; (ii) soil x-ray irradiation (i.e. elimination of the whole soil biota followed by re-inoculation with the native soil bacteria); and (iii) ZSB inoculation. The incorporation of clover in both the irradiated and the ZSB treatments allowed us to test green manure effects on the mobilization of Zn by indigenous soil bacteria as well as by inoculated strains.ResultsInoculation with ZSB did neither increase soil Zn availability nor wheat Zn uptake. The highest soil Zn availabilities were found when clover was incorporated, particularly in the irradiated soils (containing only soil bacteria). This was partly associated with the stimulation of bacterial activity during the decomposition of the incorporated green manure.ConclusionThe results support that the activity of soil bacteria is intimately involved in the mobilization of Zn following the incorporation of green manure.
Bewegungszeit, Belastungsintensität und Bewegungsumfang im Sportunterricht
Authors: Breithecker Jennifer , Jaitner David , Lohmann Julia , Linke Daniel , Siegle Malte , Lames Martin , Brandl-Bredenbeck Hans Peter 
Published: July 2021

ZusammenfassungUntersuchungen zu Bewegungsanteilen im Sportunterricht unter Verwendung objektiver Verfahren sind in Deutschland selten. Sie sind jedoch sowohl aus gesundheits- und trainingswissenschaftlicher als auch aus sportpädagogischer Perspektive von Interesse, um Schulsportwirklichkeit systematisch analysieren zu können. Der vorliegende Beitrag untersucht Bewegungszeit (Minuten), Belastungsintensität (Herzschläge pro Minute) und Bewegungsumfang (Meter pro Minute) im Sportunterricht am Beispiel des Unterrichtsinhalts Fußball. Im Zentrum steht die Frage, ob sich Unterschiede für die Unterrichtsdauer (Einzelstunde/Doppelstunde), das Setting (indoor/outdoor) und das Geschlecht zeigen. Insgesamt nahmen 356 Schüler*innen (247 männlich, 109 weiblich) von der fünften bis zur zehnten Jahrgangsstufe (MAlter = 12,4 Jahre) eines Gymnasiums in Bayern an der Untersuchung teil. Zum Einsatz kamen standardisierte Beobachtungsprotokolle, Herzfrequenzmesser und ein Trackingsystem (Local Position Measurement System [LPM-System]). Die Ergebnisse zeigten, dass die relative Bewegungszeit, die Belastungsintensität und der Bewegungsumfang in Einzelstunden am höchsten waren. Die relative Bewegungszeit war outdoor etwas höher als indoor. Die durchschnittliche Herzfrequenz unterschied sich nicht nach Setting und Geschlecht. Jungen erzielten einen höheren durchschnittlichen Bewegungsumfang im Vergleich zu Mädchen. Insgesamt deuten die Ergebnisse darauf hin, dass der Sportunterricht mit dem Inhalt Fußball einen substanziellen Beitrag zum täglichen Gesundheits- und Bewegungsverhalten leisten kann.
Investigations into the opening of fractures during hydraulic testing using a hybrid-dimensional flow formulation
Authors: Schmidt Patrick , Steeb Holger , Renner Jörg 
Published: July 2021

AbstractWe applied a hybrid-dimensional flow model to pressure transients recorded during pumping experiments conducted at the Reiche Zeche underground research laboratory to study the opening behavior of fractures due to fluid injection. Two distinct types of pressure responses to flow-rate steps were identified that represent radial-symmetric and plane-axisymmetric flow regimes from a conventional pressure-diffusion perspective. We numerically modeled both using a radial-symmetric flow formulation for a fracture that comprises a non-linear constitutive relation for the contact mechanics governing reversible fracture surface interaction. The two types of pressure response can be modeled equally well. A sensitivity study revealed a positive correlation between fracture length and normal fracture stiffness that yield a match between field observations and numerical results. Decomposition of the acting normal stresses into stresses associated with the deformation state of the global fracture geometry and with the local contacts indicates that geometrically induced stresses contribute the more the lower the total effective normal stress and the shorter the fracture. Separating the contributions of the local contact mechanics and the overall fracture geometry to fracture normal stiffness indicates that the geometrical stiffness constitutes a lower bound for total stiffness; its relevance increases with decreasing fracture length. Our study demonstrates that non-linear hydro-mechanical coupling can lead to vastly different hydraulic responses and thus provides an alternative to conventional pressure-diffusion analysis that requires changes in flow regime to cover the full range of observations.
Caregiver Satisfaction and Perceptions of Trauma-Focused Cognitive Behavioral Therapy
Authors: Brumley Lauren D. , Pollio Elisabeth , Cooper Beth , Steer Robert A. , Deblinger Esther 
Published: July 2021

AbstractAlthough caregivers have been found to be critical to children’s healing, little has been documented about caregivers’ experiences in Trauma-Focused Cognitive Behavioral Therapy (TF-CBT). The current study describes caregivers’ satisfaction with and perceptions of TF-CBT. Caregivers (n = 431) of children/adolescents (n = 496) who completed TF-CBT filled out pre-treatment questionnaires on demographics and perceived aloneness in facing their child’s trauma, and posttreatment questionnaires on treatment satisfaction and perceptions of TF-CBT. Caregivers rated treatment satisfaction an average of 30.59 (SD = 3.15) out of a maximum score of 32 on the Client Satisfaction Questionnaire-8. The majority of caregivers endorsed that talking about their child’s trauma was more helpful than discussing other current problems, they spoke frequently with their child’s therapist about their child’s trauma, they reported information/skill building in therapy were more helpful than support received, they felt understood by their therapist, treatment helped them more effectively parent, and treatment helped improve their relationship with their child. Perceptions were associated with overall treatment satisfaction. There was a significant reduction in caregivers’ feelings of aloneness in facing their child’s trauma from pre- to posttreatment, which was also related to overall treatment satisfaction. Caregivers reported high satisfaction with TF-CBT, and identified talking about their child’s trauma as more helpful than talking about problems not related to the trauma. Caregivers endorsed benefits of participating in TF-CBT, including feeling less alone in facing their child’s trauma, improved relationship with their child, and more effective parenting skills. These results have important treatment implications.
Uncertainty Evaluation of Object Detection Algorithms for Autonomous Vehicles
Authors: Peng Liang , Wang Hong , Li Jun 
Published: July 2021

AbstractThe safety of the intended functionality (SOTIF) has become one of the hottest topics in the field of autonomous driving. However, no testing and evaluating system for SOTIF performance has been proposed yet. Therefore, this paper proposes a framework based on the advanced You Only Look Once (YOLO) algorithm and the mean Average Precision (mAP) method to evaluate the object detection performance of the camera under SOTIF-related scenarios. First, a dataset is established, which contains road images with extreme weather and adverse lighting conditions. Second, the Monte Carlo dropout (MCD) method is used to analyze the uncertainty of the algorithm and draw the uncertainty region of the predicted bounding box. Then, the confidence of the algorithm is calibrated based on uncertainty results so that the average confidence after calibration can better reflect the real accuracy. The uncertainty results and the calibrated confidence are proposed to be used for online risk identification. Finally, the confusion matrix is extended according to the several possible mistakes that the object detection algorithm may make, and then the mAP is calculated as an index for offline evaluation and comparison. This paper offers suggestions to apply the MCD method to complex object detection algorithms and to find the relationship between the uncertainty and the confidence of the algorithm. The experimental results verified by specific SOTIF scenarios proof the feasibility and effectiveness of the proposed uncertainty acquisition approach for object detection algorithm, which provides potential practical implementation chance to address perceptual related SOTIF risk for autonomous vehicles.
Enhancement of combustion characteristics of VCR diesel engine by optimizing engine parameters
Authors: Ganji Prabhakara Rao , Vysyaraju Rajesh Khana Raju , Surapaneni Srinivasa Rao , Kumar B. Karuna 
Published: July 2021

AbstractIn recent years, engine emissions have been one of the important problems which are of great concern. Hence, there is a growing need to develop engines with reduced emission. In the present study, Variable Compression Ratio diesel engine model has been validated by comparing the simulation results with the experimental. The study is aimed at analyzing the effect of compression ratio, exhaust gas recirculation, fuel injection pressure and start of injection on engine performance and emission characteristics. Using composite desirability technique, the engine parameters have been optimized to achieve lower NOx, soot and ISFC. The optimum combination has been observed at Compression ratio 17.52, Start of injection −30.1 °aTDC, Fuel injection pressure 736.06 bar and Exhaust gas recirculation 28.29%. ISFC, NOx and soot are reduced by 2.37%, 29.11% and 83.81% respectively. Higher Target Fuel Distribution Index indicates the improved mixture homogeneity for the optimized parameters.
Piezoelectric relaxation of two-dimentional electron gas in InGaN/GaN heterostructures with quantum wells
Authors: Burmistrov Evgeny R. , Avakyants Lev P. , Afanasova Marina M. 
Published: July 2021

AbstractThe article is devoted to the study of the mechanism of piezoelectric scattering of charge carriers in an InGaN/AlGaN/ GaN heterostructures with one filled quantum-confinement subband. The aim of the article is to create a mathematical model that can be used to estimate the kinetic parameters of a two-dimensional electron gas (2DEG) in the structure under study. The results of the calculation of the matrix scattering potentials demonstrated the reliability and consistency on the used model of industrial LED heterostructures with InGaN/GaN quantum wells. It is shown that mechanical stresses in the InGaN/GaN layers lead to an uneven distribution of the total electric field along the active layer. It has been established that the lifetime limiting the mobility of a two-dimensional electron gas in piezoelectric scattering is of the order of 10–9 s.
AHWR-Net: offline handwritten amharic word recognition using convolutional recurrent neural network
Authors: Abdurahman Fetulhak , Sisay Eyob , Fante Kinde Anlay 
Published: July 2021

AbstractAmharic ("Image missing") is the official language of the Federal Government of Ethiopia, with more than 27 million speakers. It uses an Ethiopic script, which has 238 core and 27 labialized characters. It is a low-resourced language, and a few attempts have been made so far for its handwritten text recognition. However, Amharic handwritten text recognition is challenging due to the very high similarity between characters. This paper presents a convolutional recurrent neural networks based offline handwritten Amharic word recognition system. The proposed framework comprises convolutional neural networks (CNNs) for feature extraction from input word images, recurrent neural network (RNNs) for sequence encoding, and connectionist temporal classification as a loss function. We designed a custom CNN model and compared its performance with three different state-of-the-art CNN models, including DenseNet-121, ResNet-50 and VGG-19 after modifying their architectures to fit our problem domain, for robust feature extraction from handwritten Amharic word images. We have conducted detailed experiments with different CNN and RNN architectures, input word image sizes, and applied data augmentation techniques to enhance performance of the proposed models. We have prepared a handwritten Amharic word dataset, HARD-I, which is available publicly for researchers. From the experiments on various recognition models using our dataset, a WER of 5.24 % and CER of 1.15 % were achieved using our best-performing recognition model. The proposed models achieve a competitive performance compared to existing models for offline handwritten Amharic word recognition.