Miracle-dz/UniFAR-FTUs huggingface dataset:
Sequential Convex Programming Methods for Real-time Trajectory Optimization in Autonomous Vehicle Racing

We present a real-time-capable Model Predictive Controller (MPC) based on a single-track vehicle model and Pacejka’s magic tire formula for autonomous racing applications. After formulating the general non-convex trajectory optimization problem, the model is linearized around estimated operating points and the constraints are convexified using the Sequen- tial Convex Programming (SCP) method. We use two different methods to convexify the non-convex track constraints, namely Sequential Linearization (SL) and Sequential Convex Restriction (SCR). SL, a method of relaxing the constraints, was introduced in our previous paper. SCR, a method of restricting the con- straints, is introduced in this paper. We show the application of SCR to autonomous racing and prove that it does not interfere with recursive feasibility. We compare the predicted trajectory quality for the nonlinear single-track model to the linear double integrator model from our previous paper. The MPC performance is evaluated on a scaled version of the Hockenheimring racing track. We show that an MPC with SCR yields faster lap times than an MPC with SL – for race starts as well as flying laps – while still being real-time capable. A video showing the results is available at https://youtu.be/21iETsolCNQ.
DMSO_A_265982 2811..2822

1Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway; 2Section of Gastroenterology, Department of Medicine, Haukeland University Hospital, Bergen, Norway; 3National Centre of Functional Gastrointestinal Disorders, Haukeland University Hospital, Bergen, Norway Abstract: According to the rising prevalence of obesity and metabolic disorders leading to impaired glucose metabolism, effective strategies to prevent and/or delay the onset of disease are of great need. A plant-based diet has been suggested as an effective lifestyle change that may reduce the degree of obesity and improve outcomes related to glucose metabolism. This systematic review aimed to evaluate the effect of a plant-based diet on outcomes related to glucose metabolism. A literature search was conducted in the database PubMed until January 30, 2020. Randomized controlled trials investigating the effect of a plant-based dietary intervention on outcomes related to glucose metabolism in human subjects compared to an omnivorous diet were eligible for inclusion. Of 65 publications identified, nine trials on subjects with overweight/ obesity, type 2 diabetes mellitus, or cardiovascular disease were included. Five studies reported that the plant-based intervention significantly improved markers of glycemic control from baseline to end point, of which four revealed a significant improvement in the intervention group compared to the control intervention. The remaining four studies did not observe a significant effect of a plant-based intervention on outcomes related to glucose metabolism. Our findings suggest that a shift to a plant-based diet may lead to favorable effects on glycemic control in individuals diagnosed with type 2 diabetes mellitus and/or obesity. The data were however somewhat conflicting, and the included trials reported results based on different intervention diets and study populations. Overall, no clear conclusions regarding effects of different plantbased diets can be drawn based on the current findings alone.
Experimental study on inertial hydrodynamic behaviors of a complex ROV

This paper will present an experimental study on inertial hydrodynamic behaviors of an openframe ROV (Remotely Operated Vehicle) that has a complex open-frame hull but has a large capacity holding more instruments on board than other ROVs. A 1:4 scaled model has been tested by a VPMM (vertical planar motion mechanism) in the circulating water channel of Harbin Engineering University. The inertial coefficients, which can be used for simulating the motions and so for predicting the maneuverability of the ROV, will be presented. Particular attention will be paid to discuss the properties of the cross inertial coefficients (these related to the inertial forces/moments induced by the motion in other directions).
Fabrication and Applications of Printed and Handwriting Electronics

The accelerating arrival of the Internet of Things (IoT) era creates a rapidly growing demand for printed electronic. As a low-cost and green substrate, cellulose paper has become the most attractive choice for the printing of sustainable and disposable electronics. However, manufacture of high quality circuits with high conductivity on cellulose paper remains a challenge due to the substrate’s high porosity and roughness. In this thesis, a method for facile fabrication of hybrid copper-fiber highly conductive features on low-cost cellulose paper with strong adhesion and enhanced bending durability is introduced. With three-dimensional electroless deposition (ELD) of copper, the as-fabricated circuits show ultra-low sheet resistance down to 0.00544 Ω/sq. Taking advantages of the porous structure of paper, together with the precise control of the inkjet droplets, highly conductive vertical interconnected accesses (VIAs) are fabricated for multilayered devices without physically drilling holes or depositing additional dielectric material. To further utilize the unique porous structure of cellulose paper, a scalable fabrication method for flexible, binder-free and all-solid-state supercapacitors is proposed based on the low-cost chemical engraving technique, to construct CuxO nanostructure in-situ on the three-dimensional metallized cellulose fiber structures. Benefitting from both the “2D Materials on 3D Structures” design and the binder-free nature of the fabricated electrodes, substantial improvements to electrical conductivity, aerial capacitance, and electrochemical performance of the resulting supercapacitors (SCs) are achieved, fulfilling the increasing demand of highly customized power systems in the IoT and wearable electronics industries. The above-mentioned work all use inkjet printing for materials deposition. However, as a solvent-based printing technique, inkjet printer has strict requirement of ink properties and suffer from inevitable nozzle clogging. To address these challenges, a fabrication method based on solvent-free laser printing technique is proposed, pushing the manufacture of printed electronics towards an environmentally benign and more cost-efficient manor. Lastly, a one-step react-on-demand (RoD) method for fabricating flexible circuits with ultra-low sheet resistance, enhanced safety and durability is proposed. With the special functionalized substrate, a real-time synthesize of the 3D metal-polymer (3DMP) conductive structure is triggered on demand. The as-fabricated silver traces show an ultralow sheet resistance down to 4 mΩ/sq.
Performance Evaluation of Data Delivery Procedure in IEEE 802.15.4 Based on Discrete-Time Markov-Chain

—Data delivery procedure (DDP) based on IEEE 802.15. 4 involves a series of sub-procedures. They are CSMA/CA (Carrier Sense Multiple Access/Collision Avoid-ance), data transmission (Tx), acknowledgment (ACK) re-lated behavior (ACK wait duration and ACK transmission). Any failure during this procedure leads to an unsuccessful delivery. This procedure, in fact, determines the network performance, yet not received adequate concern. The algorithm of CSMA/CA, which generally has also been simpliﬁed in previous literature. We investigate a discrete-time Markov-chain (DTMC) for DDP without simpliﬁcation. Due to these sub-procedures, four cases during this procedure are proposed via DTMC models. Particularly, we evaluate the impact of different times of retransmission (ReTx) on the network performance. The performance is investigated in terms of throughput, data delivery ratio and time delay. We also verify our analysis via simulation. Both theoretical and simulation imply that less ReTx can bring better performance.
Polar Plasma Membrane Protein Targeting in Sphingolipids Containing Very-Long-Chain Fatty Acids Define a Secretory Pathway for Specific This information is current as of October 2, 2013

; originally published online June 10, 2011; 2011;23;2362-2378 Plant Cell Katia Belcram, Jean-Christophe Palauqui, Béatrice Satiat-JeuneMaître and Jean-Denis Faure Jonathan E. Markham, Diana Molino, Lionel Gissot, Yannick Bellec, Kian Hématy, Jessica Marion, Arabidopsis Polar Plasma Membrane Protein Targeting in Sphingolipids Containing Very-Long-Chain Fatty Acids Define a Secretory Pathway for Specific
Differential response of the retinal neural code with respect to the spatial sparseness of natural images

Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features. Strikingly, this sparseness has a strong spatial component such that in general some sub-parts of an image are uniform while others contain clusters of textural (dense) structures. To investigate the role of this facet of images’ sparseness in the efficiency of the neural code, we designed a new class of random textured stimuli with a controlled parameter inspired by measurements made on a dataset of natural images. Then, we tested the impact of this parameter on the firing pattern observed in a population of retinal ganglion cells recorded ex vivo in the retina of a diurnal rodent. These recordings showed in particular that the reliability of spike timings co-varied with respect to the spatial sparseness with a similar trend than that observed in natural images. These results suggest that the code represented in the spike pattern of ganglion cells may adapt to this aspect of the statistics of natural images.
Deletion of and in serovar Enteritidis reduced its virulence to the natural virulence of serovars Agona, Hadar and Infantis for mice but not for chickens early after infection

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Deletion of and in serovar Enteritidis reduced its virulence to the natural virulence of serovars Agona, Hadar and Infantis for mice but not for chickens early after infection D. Karasova, H. Havlickova, F. Sisak, I. Rychlik
The goals gap in education evaluation : identification and development of methodology.

****••••••••••••#•# A CHAPTER I THE CURRENT STATE OF EDUCATIONAL EVALUATION METHODOLOGY. -| The Fortune/Hutchinson Methodology of Educational Evaluation: A Methodology Built Upon the Implications of the Purpose: to Provide Data for Decision Making . 9 The Fortune/Hutchinson Evaluation Methodology: An Overview of Its Major Components. 11 Goals Processes in the Decision Maker Movement of Educational Evaluation . 16 Statement of the Problem. 30 II THE SYSTEMATIC DEVELOPMENT OF METHODOLOGY . 32 The Need for Methodological Development and Research in Educational Evaluation . 32 The Hutchinson/Thomann Metamethodology . 34 Methodological Development on the Goals Process. 37
Topic Models to Contextualize and Enhance Text-Based Discourses Using Ontologies

—Public policy-making has a clear and unique purpose: achieve a desired goal that supports the best interest of all members of the society by providing guidance for addressing selected public concerns. Examples include clean air, healthcare, waste management etc. The identification of social targets and pathways – by which these targets could be reached – are at the core of policy-making. This paper is part of an ongoing research aiming at enhancing public policy-making in the field of waste management by contextualizing and enriching text-based, Web forum discourses on waste management. For that purpose, an ontology model describing the waste management domain has been created. In the next step, the actual forum discussions are connected to one or more subdomains of the ontology by determining what proportion of the sub-domain is covered by that discourse. Finally, applying text mining techniques semantically enriched domain concepts are assigned to the discourse. This paper also provides a critical discussion on two text mining approaches that could be applied for this purpose, also highlighting points that deserve further investigation.
Protein Purification-Actomyosin , Myosin , Myosin Light Chains , Myosin Light

Myosin and myosin light-chain kinase have been isolated and characterized from small quantities of normal and SV40-transformed, murine astrocytic neuroglial cells in culture and from intact normal mouse brain. Sodium dodecyl sulfate (SDS)-polyacrylamide gel electrophoresis of the astrocyte myosins revealed a heavy chain of 200,000 daltons and two light chains of 20,000 and 15,000 daltons. These myosins are similar to other cytoplasmic myosins. The astrocyte 20,000-dalton light chain can be phosphorylated by an endogenous myosin lightchain kinase which has properties similar to those of the myosin light-chain kinase found in human platelets. No differences were detected in either the astrocyte myosins or myosin light-chain kinases between (a) the normal and transformed cells, (b) the transformed cells grown at the permissive and nonpermissive temperatures, or (c) the SV40 wild-type and A-mutant transformants.
Methodological considerations for a quasi- experimental approach to skill reallocation and destruction

This paper is a methodological background note for the paper Holm et al. (2017). The research in Holm et al. (2017) required a number of methodological considerations, which turned out to be of a more general character and too detailed to include in the paper itself. Therefore they are presented here. The discussions in the current paper highlight the difficulties encountered when estimating the effects of factors on individual level wage – an area where endogeneity is arguably ubiquitous. The main messages are: use propensity score matching with care, evaluate balance systematically and be careful when assuming common support. Introduction In the paper Holm et al. (2017) we study the effect of a number of variables on an outcome variable based on wage data. These variables are all binary and they can be considered as treatments: we are interested in the effect on a person’s wage of undergoing each of these treatments. The treatments are: 1. Direct = 1 if the person moves directly between jobs without being unemployed or out of the labour market in-between jobs. 2. Spin-off = 1 if the person’s new job is at a spin-off firm
From user equilibrium to system optimum a literature review on the role of travel information, bounded rationality and non-selfish behaviour at the network and individual levels

Travel information continues to receive significant attention in the field of travel behaviour research, as it is expected to help reduce congestion by directing the network state from a user equilibrium towards a more efficient system optimum. This literature review contributes to the existing literature in at least two ways. First, it considers both the individual perspective and the network perspective when assessing the potential effects of travel information, in contrast to earlier studies. Secondly, it highlights the role of bounded rationality as well as that of non-selfish behaviour in route choice and in response to information, complementing earlier reviews that mostly focused on bounded rationality only. It is concluded that information strategies should be tailor-made to an individual’s level of rationality as well as level of selfishness in order to approach system optimal conditions on the network level. Moreover, initial ideas and future research directions are provided for assessing the potential of travel information in order to improve network efficiency of existing road networks.
Automatic Slowness Vector Measurements of Seismic Arrivals

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DLBCL with ampli � cation of JAK 2 / PD-L 2 exhibits PMBCL-like CNA pattern and worse clinical outcome resembling those with MYD 88 L 265 P mutation

Xuemin Xue National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Wenting Huang National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Tian Qiu National Cancer Center/National Clinical Research Center for Cancer/Cancer hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Lei Guo National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Jianming Ying (  jmying@cicams.ac.cn ) National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC) https://orcid.org/0000-0002-7301-4118 Ning Lv National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Narrative perspectives on the development of coastal pilot projects

Pilot projects are favoured instruments for exploring and perhaps realising policy change. The challenges that coastal policy faces, the frequency with which pilot projects are implemented, and the criticisms regarding their efficacy make it interesting and relevant to study pilot projects in this policy field. This dissertation on ‘Narrative perspectives on the development of coastal pilot projects’ aims to deepen understanding of the development of pilot projects in their actor-networks. It utilises the concept of narratives both in the conceptualisation of the development of pilot projects and in the design of a research strategy, choosing to learn from the experiences of actors involved in coastal pilot projects. The Sand Engine in the Netherlands and Ystad’s sand nourishment project in Scania, Sweden, are the two coastal pilot projects from which empirical data are drawn. Retrospective biographies of the Sand Engine pilot project, and the narrative competitions active in both the Sand Engine and Ystad cases were identified using deductive and inductive narrative analysis methods. This thesis highlights that pilot projects function not only as learning instruments for understanding the (bio)physical system, but also as instruments where actor-based learning is storified and success can be claimed and institutionally anchored.
The Impact of Accounting system of Cyber Fraud, Ease of Use and Risk Perception on the Behavior of Using E-Commerce Systems in the world

This study aims to examine the factors that influence interest in the use of e-commerce by using the Technology Acceptance Model (TAM) model developed by Davis (1989). This study uses survey methods in data collection. The sample of this research is the Jakarta, Bogor, Depok, Bekasi and Tangerang (Jabodetabek area) communities in Indonesia. A total of 180 respondents who have used e-commerce are processed using multiple linear regression. The results of the analysis for this model show that e-commerce usage behavior is positively influenced by ease of use and risk perception. While the perception of fraud in cyberspace is proven to have a negative effect on the interest in using e-commerce.
Simulation-Based Portfolio Optimization with Coherent Distortion Risk Measures

This master’s thesis studies portfolio optimization using linear programming algorithms. The contribution of this thesis is an extension of the convex framework for portfolio optimization with Conditional Value-at-Risk, introduced by Rockafeller and Uryasev [28]. The extended framework considers risk measures in this thesis belonging to the intersecting classes of coherent risk measures and distortion risk measures, which are known as coherent distortion risk measures. The considered risk measures belonging to this class are the Conditional Value-at-Risk, the Wang Transform, the Block Maxima and the Dual Block Maxima measures. The extended portfolio optimization framework is applied to a reference portfolio consisting of stocks, options and a bond index. All assets are from the Swedish market. The returns of the assets in the reference portfolio are modelled with elliptical distribution and normal copulas with asymmetric marginal return distributions. The portfolio optimization framework is a simulation-based framework that measures the risk using the simulated scenarios from the assumed portfolio distribution model. To model the return data with asymmetric distributions, the tails of the marginal distributions are fitted with generalized Pareto distributions, and the dependence structure between the assets are captured using a normal copula. The result obtained from the optimizations is compared to different distributional return assumptions of the portfolio and the four risk measures. A Markowitz solution to the problem is computed using the mean average deviation as the risk measure. The solution is the benchmark solution which optimal solutions using the coherent distortion risk measures are compared to. The coherent distortion risk measures have the tractable property of being able to assign user-defined weights to different parts of the loss distribution and hence value increasing loss severities as greater risks. The user-defined loss weighting property and the asymmetric return distribution models are used to find optimal portfolios that account for extreme losses. An important finding of this project is that optimal solutions for asset returns simulated from asymmetric distributions are associated with greater risks, which is a consequence of more accurate modelling of distribution tails. Furthermore, weighting larger losses with increasingly larger weights show that the portfolio risk is greater, and a safer position is taken.
Association of Abusive Supervision with Creativity and Work Engagement: The Moderating Role of Trust in Supervisor

Received: May 10, 2021 Abusive supervisory behavior is considered to be the dark side of leadership that in a Higher Education Institute (HEI) can yield a variety of outcomes for the employees. This research study examines the association of abusive supervisory behavior as an independent variable and employees‟ creativity and work engagement as dependent variables and explores the moderating effect of „trust in supervisor‟ in these associations in higher education settings. Data was collected in two waves from 221 employees of private sector higher education institutes at Peshawar, Pakistan, working in administrative cadre through multistage random sampling procedure. Hierarchical least squares regression analysis was used to test the hypothesized model, using SPSS-25. Findings suggest that abusive supervisory behavior is negatively related to work engagement and creativity and trust in supervisor positively moderates these relationships. This implies that abusive supervision reduces the work engagement and creativity of HEI‟s employees, however, this negative effect can be lowered/controlled by instilling trust in the supervisors. Consequently, HEIs managers need to encourage and reward supervisors to promote trusting relationships with employees to reduce the negative consequences of abusive supervisory behavior. Accepted: October 13, 2021