Miracle-dz/UniFAR-FTUs huggingface dataset:
Systematic Literature Review and Meta-Analysis, Thirty-Five Years of Wellbeing & Healthcare Research.

Gradual surge in the importance of ‘wellbeing’ and ‘healthcare services’, motivated us to map the literature of the keywords mentioned. The aim of the study was to conduct the bibliometric analysis of ‘wellbeing and healthcare’ research by using Scopus database. Data was extracted from 1985 to 2020 and analysed by using VOSviewer software and MS Excel. Co-authorship and Co-occurrence analysis were executed to investigate the links and collaborations among the authors, countries, and author keywords globally. Results revealed that Bamvita J. -M. and Fleury M. -J. both were having greater total link strength (TLS), United Kingdom was leading other countries in collaborations and affiliations with greater TLS, and mental health, depression, quality of life, and burnout were the keywords found with higher co- occurrence with ‘wellbeing and healthcare’. Findings also showed the publication output throughout the years, prolific authors and journals, prominent countries, and institutions in the literature of ‘wellbeing and healthcare’. Conclusively, future research directions were recommended. strength. Therefore, the total link strength (TLS) showed the total co-authorship strength of one author with the other. Co-authorship analysis was executed by applying different thresholds. Maximum number of authors per document was 25, minimum number of documents of an author was 05, and minimum number of citations was remained 00. After applying the criteria, out of 20512, 137 authors met the threshold. Bamvita J. -M. and Fleury M. -J. both had the highest total link strength (TLS) of 20 with 08 documents and 54 citations, followed by Caron J. (TLS, 16; Documents, 06; Citations, 45), and Grenier G. (TLS, 16; Documents, 06; Citations, 52). items not visualizing
Design and Manufacture of Surface Topography with Additive Manufacturing: Properties and Applications

ii Acknowledgments . v List of Tables . ix List of Figures . x Introduction . 1 Research Questions . 5 Chapter I . 7 Understanding and Engineering Natural Surfaces with Additive Manufacturing [13], [14] . 7 1. Introduction . 7 2. Materials and Methods . 11 3. Validation Experiment (Steps j and k: Algal Inoculation) . 34 4. Results . 45 5. Discussion . 50 6. Conclusion . 58 Chapter II . 60 Study the Effects of 3D Printed Microtextured Surfaces on Contact Angle . 60 1. Introduction . 60 2. Preliminary Experiment . 67 3. Materials and Methods . 70
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats

The need for emotional inference from text continues to diversify as more and more disciplines integrate emotions into their theories and applications. These needs include inferring different emotion types, handling multiple languages, and different annotation formats. A shared model between different configurations would enable the sharing of knowledge and a decrease in training costs, and would simplify the process of deploying emotion recognition models in novel environments. In this work, we study how we can build a single model that can transition between these different configurations by leveraging multilingual models and Demux, a transformer-based model whose input includes the emotions of interest, enabling us to dynamically change the emotions predicted by the model. Demux also produces emotion embeddings, and performing operations on them allows us to transition to clusters of emotions by pooling the embeddings of each cluster. We show that Demux can simultaneously transfer knowledge in a zero-shot manner to a new language, to a novel annotation format and to unseen emotions. Code is available at https://github.com/gchochla/Demux-MEmo.1
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge

Accurate traffic forecasting is of the utmost importance for optimal travel planning and for efficient city mobility. IARAI (The Institute of Advanced Research in Artificial Intelligence) organizes Traffic4cast, a yearly traffic prediction competition based on real-life data [https://www.iarai. ac.at/traffic4cast/], aiming to leverage artificial intelligence advances for producing accurate traffic estimates. We present our solution to the IARAI Traffic4cast 2022 competition, in which the goal is to develop algorithms for predicting road graph edge congestion classes and supersegment-level travel times. In contrast to the previous years, this year's competition focuses on modelling graph edge level behaviour, rather than more coarse aggregated grid-based traffic movies. Due to this, we leverage a method familiar from tabular data modelling -- gradient-boosted decision tree ensembles. We reduce the dimensionality of the input data representing traffic counters with the help of the classic PCA method and feed it as input to a LightGBM model. This simple, fast, and scalable technique allowed us to win second place in the core competition. The source code and references to trained model files and submissions are available at https://github.com/skandium/t4c22 .
Evidence for information compression via the matching and unification of patterns in the workings of brains and nervous systems

This paper presents evidence for the idea that much of the workings of brains and nervous systems may be understood as information compression via the matching and unification of patterns (ICMUP). Information compression can mean selective advantage for any creature: in the efficient storage and transmission of information; and, owing to the close connection between information compression and concepts of prediction and probability, in the making of predictions about where food may be found, potential dangers, and so on. Several aspects of our everyday perceptions and thinking may be seen as information compression. For example, many words in natural languages may be seen as relatively short identifiers or ‘codes’ for relatively complex concepts. When viewing the world with two eyes, we see one view, not two. Random-dot stereograms provide confirmation that, in binocular vision, we do indeed merge information from our two eyes and thus compress it. Information compression may be seen in the workings of sensory units in the eye of Limulus, the horseshoe crab. Computer models demonstrate how information compression may be a key to the unsupervised discovery of grammars for natural language, including segmental structures (words and phrases), classes of structure, and abstract patterns. Information compression may be seen in the perceptual constancies, including size constancy, lightness constancy, and colour constancy. Mathematics, which is a product of the human intellect, may be seen to be a set of techniques for ICMUP, and their application. The SP theory of intelligence, with its empirical support, provides evidence for the importance of ICMUP, and more ∗Dr Gerry Wolff BA (Cantab) PhD (Wales) CEng MIEEE MBCS; CognitionResearch.org, Menai Bridge, UK; jgw@cognitionresearch.org; +44 (0) 1248 712962; +44 (0) 7746 290775; Skype: gerry.wolff; Web: www.cognitionresearch.org.
Missing data interpolation in integrative multi-cohort analysis with disparate covariate information

Integrative analysis of datasets generated by multiple cohorts is a widely-used approach for increasing sample size, precision of population estimators, and generalizability of analysis results in epidemiological studies. However, often each individual cohort dataset does not have all variables of interest for an integrative analysis collected as a part of an original study. Such cohort-level missingness poses methodological challenges to the integrative analysis since missing variables have traditionally: (1) been removed from the data for complete case analysis; or (2) been com-pleted by missing data interpolation techniques using data with the same covariate distribution from other studies. In most integrative-analysis studies, neither approach is optimal as it leads to either loosing the majority of study covariates or challenges in specifying the cohorts following the same distributions. We propose a novel approach to identify the studies with same distributions that could be used for completing the cohort-level missing information. Our methodology relies on (1) identifying sub-groups of cohorts with similar covariate distributions using cohort iden-tity random forest prediction models followed by clustering; and then (2) applying a recursive pairwise distribution test for high dimensional data to these sub-groups. Extensive simulation studies show that cohorts with the same distribution are correctly grouped together in almost all simulation settings. Our methods’ application to two ECHO-wide Cohort Studies reveals that the cohorts grouped together reﬂect the similarities in study design. The methods are implemented in R software package relate .
Antideuteron and deuteron production in midcentral Pb+Pb collisions at 158A GeV

New measurements by the NA49 experiment of the centrality dependence of event-by-event fluctuations of the particle yield ratios (K++K−)/(π++π−), (p+p )/(π++π−), and (K++K−)/(p+p ) are presented for Pb+Pb collisions at 158A GeV. The absolute values of the dynamical fluctuations of these ratios, quantified by the measure σdyn, increase by about a factor of two from central to semiperipheral collisions. Multiplicity scaling scenarios are tested and found to apply for both the centrality and the previously published energy dependence of the (K++K−)/(π++π−) and (p+p )/(π++π−) ratio fluctuations. A description of the centrality and energy dependence of (K++K−)/(p+p ) ratio fluctuations by a common scaling prescription is not possible since there is a sign change in the energy dependence.
Social control of public expenditures in a multilevel principal-agent approach

Busca-se ampliar o modelo teorico de principal-agente, incorporando a perspectiva de multiplos niveis e distintas situacoes tipicas de agencia e aplicando-se a analise ao controle dos gastos publicos em democracias representativas. Trata-se de discussao teorica, com proposta de interseccao de enfoques metodologicos e analise descritiva-exemplificativa de situacao hipotetica. O principal resultado e desdobrar o modelo principal-agente, com foco no processo decisorio e nas competencias de formulacao, negociacao, articulacao, compreensao e implementacao. Conclui-se que e possivel incorporar elementos que tornem o modelo permeavel as idiossincrasias de individuos, grupos e sociedades, no que diz respeito ao funcionamento do controle social possivel dos gastos publicos.
Earnings Management to Achieve Industry-Average Profitability in Japan

This paper examines real and accrual-based earnings management to achieve industry-average profitability in Japanese firms. I focus on three types of real earnings management: sales manipulation, the reduction of discretionary expenditures, and overproduction. The results indicate that Japanese firms engage in income-increasing real and accrual-based earnings management to achieve industry-average profitability. Specifically, I find evidence of income-increasing real and accrual-based earnings management in firms that just meet or slightly beat industry-average profitability. The results also indicate that firms in more competitive industries engage in greater income-increasing earnings management to achieve industry-average profitability. The evidence in this paper is important because it suggests that managers engage in both real and accrual-based earnings management with an awareness of the profitability of competing firms in the same industry. Further, this paper shows the complementary relationship between two types of real (sales manipulation and overproduction) and accrual-based earnings management to achieve industry-average profitability. It also provides evidence of real and accrual-based earnings management to achieve industry-median profitability and industry-average forecast profitability.
IoT Based Wearable Smart Health Monitoring System

An important part of our life, internet has enabled many machines and devices we use in everyday life to be monitored and controlled remotely through Internet of Things (IOT) technology. Thanks to IOT technology, smart health applications have become a rapidly growing sector. For individuals with heart disease, the Heart Rate (HR), Heart Rate Variability (HRV) and Body Temperature (BT) values are considered vital signs that must be measured regularly. In this study, an android-based application is developed that can monitor HR, HRV and CT parameters for cardiovascular patients who should be under constant observation. The measuring system, which consists of wearable sensors, constantly measures patient signs. Then send the measured signals to android interface via wireless connection. If the predetermined critical values for the patient are exceeded, the HR, HRV, CT values and also the realtime location of patient is sent both to family members and doctor as e-mail and twitter notification. The wearable measurement system allows patients to be mobile in their own social environment, allowing them to live their lives in confidence.
Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Cause and Intent : Social Reasoning in Causal Learning Permalink

The acquisition of causal knowledge is a primary goal of childhood; yet most of this knowledge is known already to adults. We argue that causal learning which leverages social reasoning is a rapid and important route to knowledge. We present a computational model integrating knowledge about causality with knowledge about intentional agency, but using a domaingeneral mechanism for reasoning. Inference in this model predicts qualitatively different learning than an equivalent model based on causality alone or a hybrid causal-encoding model. We test these predictions experimentally with adult participants, and discuss the relation of these results to the developmental phenomenon of over-imitation.
RETURN REQUIREMENTS FOR REGULATED ENTITIES IN THE GAS INDUSTRY

In regulated businesses, utility companies are facing asymmetric risks due to ex-ante regulation. Shareholders have to question whether their business is earning appropriate returns taking into account those asymmetric risks involved. Adequate performance measures need to be designed and installed in order to benchmark the regulated business against alternative investments. In our study we analyse the impact of regulation on the process of steering and more precisely on the definition of return requirements in the case of a Central and Eastern Europe gas industry with permanent ex-ante regulation. For this purpose, we examine the absolute return target by its two inputs, the rate of return and the investment basis. We conduct an Analytic Hierarchy Process in order to assess the options for the investment basis used to calculate an absolute return requirement in a structured way. Our findings show a twofold view on return requirements in terms of the time horizon. In short-term, regulatory parameters should be taken into account. However, in long-term those parameters can only serve as a figure to control whether regulatory conditions fulfil the needs of the shareholders. Our study shall contribute to the static analysis of regulation on return requirements and steering in the gas industry after privatization.
Comparison of perioperative outcomes in frail patients following multilevel lumbar fusion surgery with and without the implementation of the enhanced recovery after surgery protocol

Background Enhanced recovery after surgery (ERAS) is an evidence-based multimodal perioperative management designed to reduce the length of stay (LOS) and complications. The purpose of the present study is to evaluate the recovery of physiological function, LOS, complications, pain score, and clinical efficacy in frail elderly patients undergoing multisegment fusion surgery after the implementation of the ERAS protocol. Methods Frail patients older than 75 years undergoing multilevel lumbar fusion surgery for degenerative discogenic conditions, lumbar spinal stenosis, and lumbar spondylolisthesis from January 2017 to December 2018 (non-ERAS frail group) and from January 2020 to December 2021 (ERAS frail group) were enrolled in the present study. Propensity score matching for age, sex, body mass index, and smoking status was performed to keep comparable characteristics between the two groups. Further recovery of physiological function, LOS, complications, pain score, and clinical efficacy were compared between the groups. Results There were 64 pairs of well-balanced patients, and the clinical baseline data were comparable between the two groups. There was significant improvement in terms of recovery of physiological function (10.65 ± 3.51 days vs. 8.31 ± 3.98 days, p = 0.011) and LOS (12.18 ± 4.69 days vs. 10.44 ± 4.60 days, p = 0.035), while no statistical discrepancy was observed with regard to complications between the groups, which indicated favorable outcomes after the implementation of the ERAS protocol. Further analysis indicated that more patients were meeting a minimally clinical important difference for the visual analog score for the legs and the Oswestry Disability Index in the ERAS frail group. With regard to postoperative pain, the score was higher in the ERAS frail group than in the non-ERAS frail group on postoperative day (POD) 1 (4.88 ± 1.90 in the ERAS frail group vs. 4.27 ± 1.42 in the non-ERAS frail group, p = 0.042), while there was no significant discrepancy on POD 2 (3.77 ± 0.88 in the ERAS frail group vs. 3.64 ± 1.07 in the non-ERAS frail group, p = 0.470) and POD 3 (3.83 ± 1.89 in the ERAS frail group vs. 3.47 ± 1.75 in the non-ERAS frail group, p = 0.266). Conclusions In this retrospective cohort study, we found a significant improvement in terms of LOS, recovery of physiological function, and clinical efficacy after the implementation of the ERAS protocol in elderly and frail patients undergoing multilevel lumbar fusion surgery, while there was no significant discrepancy with regard to complications, 90-day readmission, and postoperative pain.
Net Foreign Assets and Imperfect Pass-Through: The Consumption Real Exchange Rate Anomaly

An unresolved issue in international macroeconomics is the apparent lack of risk-sharing across countries, which contradicts the prediction of models based on the assumption of complete markets. We assess the importance of financial frictions in this issue by constructing an incomplete market model with stationary net foreign assets (NFA) and imperfect pass-through (IPT). In this paper, there is a cost of bond holdings that allows us to incorporate the dynamics of NFA into the risk-sharing condition. On theoretical grounds, our results suggest that the dynamics of NFA may account for the lack of risk-sharing across countries. In addition, the IPT mechanism, by closing the current account channel, does not help to explain this feature of the data. On empirical grounds, we test the risk-sharing condition derived in the paper, and we find that growth factors of consumption and real exchange rates behave in a manner that may be consistent with a significant role for the net foreign asset position.
Optimal performance of actuator disc models for horizontal-axis turbines

This study analyzes actuator disc (AD) models of horizontal-axis turbines to determine optimal performance, defined as the maximum power extracted at any tip speed ratio. We use the calculus of variations to maximize rotor torque relative to the thrust without making any assumptions about the rotor loading. The torque was obtained from the angular momentum equation and the thrust from the Kutta-Joukowsky equation which depends on the circumferential velocity and tip speed ratio. The optimality requirement is that the pitch of the vorticity exiting the rotor must be constant across the wake and equal to the ratio of torque to thrust. This result generalizes the classical finding of Betz and Goldstein that optimal lightly-loaded ADs have constant pitch. Optimizing the torque in the far-wake, well downstream of the rotor, leads to the same requirement of constant pitch. This implies that the pitch of an optimal rotor is constant everywhere in the wake at all tip speed ratios. We show that it is not possible for the pitch to reach its optimal value because of the vorticity distribution in the wake, and propose modifications to the pitch at the rotor and in the far-wake. The axial and circumferential velocities in the far-wake, which are easily determined, were used to find those at the rotor from the “disc loading equation” for the angular momentum which is also the normalized bound circulation at the rotor. For the simplest case of a lightly-loaded rotor at zero tip speed ratio, the induced circumferential velocity is linear in radius and the axial component is quadratic, As the tip speed ratio increases, the optimal power and thrust asymptote to the familiar Betz-Joukowsky values, and the induced axial velocity and rotor bound circulation become constant. At low tip speed ratios, the optimal wakes are constrained by the need to avoid breakdown of the flow at high swirl, and the conventional thrust equation, involving the axial velocity only, is inaccurate. As found in previous studies, the power coefficient increases monotonically with tip speed ratio, but the thrust coefficient reaches a maximum value slightly above the Betz-Joukowsky limit at a tip speed ratio of two, before decreasing towards the limit.
Validation of a five-level triage system in pediatric trauma and the effectiveness of triage nurse modification: A multi-center cohort analysis

Introduction Triage is one of the most important tasks for nurses in a modern emergency department (ED) and it plays a critical role in pediatric trauma. An appropriate triage system can improve patient outcomes and decrease resource wasting. However, triage systems for pediatric trauma have not been validated worldwide. To ensure clinical reliability, nurses are allowed to override the acuity level at the end of the routine triage process. This study aimed to validate the Taiwan Triage and Acuity Scale (TTAS) for pediatric trauma and evaluate the effectiveness of triage nurse modification. Methods This was a multicenter retrospective cohort study analyzing triage data of all pediatric trauma patients who visited six EDs across Taiwan from 2015 to 2019. Each patient was triaged by a well-trained nurse and assigned an acuity level. Triage nurses can modify their acuity based on their professional judgment. The primary outcome was the predictive performance of TTAS for pediatric trauma, including hospitalization, ED length of stay, emergency surgery, and costs. The secondary outcome was the accuracy of nurse modification and the contributing factors. Multivariate regression was used for data analysis. The Akaike information criterion and C-statistics were utilized to measure the prediction performance of TTAS. Results In total, 45,364 pediatric patients were included in this study. Overall mortality, hospitalization, and emergency surgery rates were 0.17, 5.4, and 0.76%, respectively. In almost all cases (97.48%), the triage nurses agreed upon the original scale. All major outcomes showed a significant positive correlation with the upgrade of acuity levels in TTAS in pediatric trauma patients. After nurse modification, the Akaike information criterion decreased and C-statistics increased, indicating better prediction performance. The factors contributing to this modification were being under 6 years of age, heart rate, respiratory rate, and primary location of injuries. Conclusion The TTAS is a reliable triage tool for pediatric trauma patients. Modification by well-experienced triage nurses can enhance its prediction performance. Younger age, heart rate, respiratory rate, and primary location of injuries contributed to modifications of the triage nurse. Further external validation is required to determine its role in pediatric trauma worldwide.