Miracle-dz/UniFAR-FTUs huggingface dataset:
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To improve themaneuverability and agility of jumping robots, several researchers have studied steerable jumpingmechanisms. This steering ability enables robots to reach a particular target by controlling their jumping direction. To this end, we propose a novel direction-changing concept for miniature jumping robots. The proposed concept allows robots to be steerable while exertingminimal effects on jumping performance. The key design principles were adopted from the froghopper’s power-producing hind legs and themoment cancellation accomplished by synchronized leg operation. These principles were applied via a pair of symmetrically positioned legs and conventional gears, whichweremodeled on the froghopper’s anatomy. Each leg has its own thrusting energy, which improves jumping performance by allowing themechanism to thrust itself with both powerproducing legs. Conventional gears were utilized to simultaneously operate the legs and cancel out the moments that they induce, whichminimizes body spin. A prototype to verify the concept was built and tested by varying the initial jumping posture. Three jumping postures (synchronous, asynchronous, and single-legged)were tested to investigate how synchronization andmoment cancelling affect jumping performance. The results show that synchronous jumping allows the mechanism to change direction from –40° to 40°, with an improved take-off speed. The proposed concept can only be steered in a limited range of directions, but it has potential for use inminiature jumping robots that can change jumping directionwith aminimal drop in jumping performance.
Influence of preceding crop , site and nitrogen management on yield of organic oil seed rape ( Brassica napus L . )

Background Plant nutrient supply is a key issue in production of organic winter oil seed rape (WOR). The variation in nitrogen (N) application and yield level varies greatly meanwhile there is lack of knowledge about crop N demand and profitability during different conditions, i.e. influence of the previous crop and other site specific conditions. The production of organic oil seed rape is often hazardous and the grower has to expect great variations in yield levels (Wallenhammar, 2005). WOR demands high amounts of available soil N to achieve an adequate yield. The N demand is large during the vegetative stages (Schultz, 1972), and variation in yield of WOR is due to availability of N during growth and development (Rathke et al., 2006). Recent investigations (Stenberg et al., submitted), showed that the effect on yields of WOR of different sources of organic fertilizers, application dates and distribution techniques varied greatly between years.
Folic Acid, Selected Cancers and All-cause Mortality: A Meta-analysis

Fortification of foodstuffs with folic acid is mandatory in many countries. Although the effect of folic acid in reducing neural tube defects in utero is well accepted, questions have been raised about possible adverse effects of higher intakes of folic acid on adult health. An increase in colorectal cancer and some other cancers has been postulated. As part of a larger fortification monitoring program in Australia, we conducted a systematic review of trials of folic acid for these outcomes. We found 26 trials using between 0.420mg folic acid/day which reported all-cause mortality or the incidence of specified cancers or recurrence of colorectal adenoma. Using the in-trial follow-up data, the relative risks were 1.04 for total incident cancer (13 studies), 1.0 for colorectal and lung cancers, 0.82 for breast cancer, 1.16 for prostate cancer, 0.97 for the recurrence of colorectal adenoma and 1.11 for the recurrence of advanced colorectal adenoma. There was no association with all-cause mortality (relative risk=0.99, 23 studies). None of the relative risks were statistically significant at the customary alpha level. Our findings are similar to those of previous meta-analyses that have used different inclusion criteria to select studies.
Predicting Query Execution Time using Statistical Techniques

The ability to estimate the query execution time is crucial for a number of tasks in database systems such as query scheduling, progress monitoring and costing during query optimization. Query optimizers uses two separate estimation models to find an optimal plan to execute a query a) selectivity estimators to predict the number of input tuples b) cost model to derive execution cost for a given plan. Significant errors occur in estimation of execution time [14] as a result of errors in selectivity estimates as well as inaccuracies in cost modeling. In this work we study the effect of cost model on predicting execution time by designing a learning based cost model as opposed to traditional analytical models which are predominant in the current query optimizers. Learning based models enable the system to capture the effects of underlying hardware (such as speed of CPU, disk etc.) as well as operator interactions that happen within the query plan. We propose a modeling technique to a) learn query execution behavior at a fine-grained operator level b) capture interactions among operators by using a pipeline aware feature set. Combining this with a powerful learning technique, we are able to produce significantly better estimates for a set of benchmark queries. We evaluate our approach using the TPC-H [3] workload on PostgreSQL [1].
Bioimage informatics SeeVis — 3 D space-time cube rendering for visualization of microfluidics image data

Motivation: Live cell imaging plays a pivotal role in understanding cell growth. Yet, there is a lack of visualization alternatives for quick qualitative characterization of colonies. Results: SeeVis is a Python workflow for automated and qualitative visualization of time-lapse microscopy data. It automatically pre-processes the movie frames, finds particles, traces their trajectories and visualizes them in a space-time cube offering three different color mappings to highlight different features. It supports the user in developing a mental model for the data. SeeVis completes these steps in 1.15 s/frame and creates a visualization with a selected color mapping. Availability and implementation: https://github.com/ghattab/seevis/ Contact: ghattab@cebitec.uni-bielefeld.de Supplementary information: Supplementary data are available at Bioinformatics online.
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task

This paper describes the participation of the MLLP research group of the Universitat Politècnica de València in the WMT 2019 News Translation Shared Task. In this edition, we have submitted systems for the German ↔ English and German ↔ French language pairs, participating in both directions of each pair. Our submitted systems, based on the Transformer architecture, make ample use of data filtering, synthetic data and domain adaptation through fine-tuning.
Perception of one ' s body and physical activity in adolescents

Background: Adolescence is a very important stage of a human growth, because it is the period of time when body image is being created. It may affect many aspects of teenagers’ life, one of them is physical activity. The aim of the study was to examine relations between teenagers’ self-assessment of the body and physical activity. Material/Methods: The study involved 449 people, including 186 women (41.43%) and 263 men (58.57%), from secondary and post-secondary schools around Silesia. Age of respondents: 13-19 years (x = 15.43, SD = 1.84). Participation in the study was voluntary. The research was based on the anonymous questionnaire, which included metrical part (questions about teenagers’ sex, age, height and weight). Participation in the Physical Education lessons was also questioned. Physical activity level was measured on the basis of modified Baecke questionnaire. Teenagers’ self-assessment of the body was examined by using Body Esteem Scale (BES). Results: Girls with better results in every domain BES were more physically active than girls with lower self-assessment. High self-assessment of boys in “strength and agility” and “physical condition” domains correlated with higher level of Physical Activity Index. Among boys “physical attractiveness” domain was not differentiating Physical Activity Index level. Conclusions: Positive self-assessment of the teenagers’ body is beneficial for physical activity regardless of sex. Among girls, high self-assessment in all three domains of selfesteem is correlated with higher physical activity level, among boys it is related to functional aspects of the body.
Play and Augmented Reality in Learning Physics: The SPASES Project

The Semiotic Pivots and Activity Spaces for Elementary Science (SPASES) Project was implemented as a proof of concept. Our goal was to demonstrate that with the right set of technological supports, young children can start their learning trajectory in science off on the right foot by engaging in rich scientific investigations into complex science topics. The SPASES curriculum was successfully implemented in two multi-age classrooms of 43 students aged 6-8 years at a progressive elementary school in Los Angeles, CA. Pre/Post-test results show that these 6-8 year old students were able to develop a conceptual understanding of force, net force, friction and two-dimensional motion after participating in the SPASES curriculum which leveraged their prior experiences and ability to engage in embodied play as a form of scientific modeling.
A Thorough Examination of the RACE Machine Reading Comprehension Task

Machine reading comprehension (MRC) systems are typically evaluated by accuracy on the RACE MRC task. There is a significant gap between the state-of-the-art machine performance (74.1%) and the human ceiling performance (94.5%) on RACE, even though MRC systems have outperformed humans on a number of MRC tasks. In this paper, we aim at better understanding of the characteristics of RACE and the desiderata for human-level performance on RACE. On one hand, we categorize 300 questions randomly sampled from the RACE test set according to a set of prerequisite skills that we propose. On the other hand, we evaluate top MRC systems proposed for RACE on different categories of questions. The result suggests that existing systems have much room for improvement in terms of representing certain reasoning skills, such as relation identification and algebraic reasoning. Data categorization and code are available on github1.
A study of brand name and country of production congruity A consumer study – assessed with the example of a Swedish luxury bed manufacturer

As companies become ever more globalised, manufacture firms choose to outsource production to lower labour cost countries. However, as studies have shown, such a relocation of production may lead to undesirably decreased quality perceptions by consumers as the brand origin and country of production are de-coupled. This quality perception linked to congruity between brand origin and country of production has been studied for various products and product classes, but little has been written about how a luxury bed manufacturer may be affected by this phenomenon known as the country of origin effect. Thus in theory quality perceptions are higher if the brand origin and country of production are congruent and are further amplified if that country is already regarded highly in terms of production competence. In our study, we set out to verify this theory through a consumer-based questionnaire. Our results give strong evidence in support of this theory which is why we ultimately claim, from a theoretical standpoint, that the company we focus on should maintain its production location in Sweden.
Deep Learning for Detection of Acute Multiple Sclerosis Lesions without Gadolinium Injection

Medical Context and Objectives Gadolinium (Gd) based contrast agents (GBCA) have been used for decades in clinical MRI explorations and especially to probe the blood brain barrier integrity (using Gd-enhanced T1-weighted MRI) Recently, Gd deposition within human bones and brain tissue was observed following repeated Gd based contrast agents’ injections [8-9]. As the long-term toxicity of Gd accumulation in brain tissue remains unknown, the development of alternative to Gd-enhanced MRI is crucial to limit the patients’ exposure to such potential toxicity. This point is especially crucial for multiple sclerosis (MS) patients, for whom Gd-enhanced MRI examination is regularly performed for monitoring of the disease course, and is a critical asset for treatment adjustment [6-7].
IMAGING AND MEDICAL BEAMLINE OF THE AUSTRALIAN SYNCHROTRON

Computed Tomography (CT) is one of the most powerful methods capable of imaging and reconstruction of the full 3D map of the object. Lab-scale CT machines are now widely available on the commercial or merit basis at many universities around the country. However, current level of technologies is dictating certain limits for the standard CT devices. The limits are usually expressed in terms of the object’s size, density, chemical composition, spatial resolution or their combination. In the last decade two advanced CT instruments were built in Australia to address the questions and expand the region of the applicability. Two of these instruments are owned and managed by the Australian National Science and Technology Organization (ANSTO). Thistalk is dedicated to the first of these intruments the synchrotron-based Imaging and Medical beamline (IMBL) [1] used for the X-ray as well as γ-ray imaging.
Understanding the adoption of crop protection smartphone apps: An application of the Unified Theory of Acceptance and Use of Technology

There is a steady increase in smartphone apps available to improve farmers' decision making with respect to crop protection. While current studies have focused on smartphone adoption in general and farmers' general willingness to pay for crop protection smartphone apps, none have focused on the initial adoption decision. Furthermore, it has not been studied yet which app functions are perceived as useful and which are actually used by farmers. Based on an online survey of 207 German farmers conducted in 2019, we investigated farmers' adoption decision for crop protection smartphone apps based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework applying partial least squares equation modelling and a binary logit model. Descriptive results show that 95 % of the surveyed farmers use a smartphone, but only 71 % use a crop protection smartphone app. Apps providing infor-mation about weather, pest scouting and infestations forecasts are perceived as most useful by the majority of farmers. However, reported use fell short of reported usefulness. All hypothe-ses of the UTAUT model could be verified. 72 % of the variation in the behavioral intention to use a crop protection smartphone app and 50 % of the variation in the actual adoption is explained by the model. The results are of interest for policy makers in the field of digitaliza-tion in agriculture as well as providers and developers of crop protection smartphone apps.
Analysis and control of periodic gaits in legged robots

ANALYSIS AND CONTROL OF PERIODIC GAITS IN LEGGED ROBOTS Hasan Hamzaçebi Ph.D. in Electrical and Electronics Engineering Advisor: Ömer Morgül November 2017 The analysis, identification and control of legged locomotion have been an interest for various researchers towards building legged robots that move like the animals do in nature. The extensive studies on understanding legged locomotion led to some mathematical models, such as the Spring-Loaded Inverted Pendulum (SLIP) template (and its various derivatives), that can be used to identify, analyze and control legged locomotor systems. Despite their seemingly simple nature, as being a simple point mass attached to a massless spring from dynamics perspective, the SLIP model constitutes a restricted three-body problem formulation, whose non-integrability has been proven long before. Thus, researchers came up with approximate analytical solutions or they used some other different techniques such as partial feedback linearization for the sake of obtaining analytical Poincaré return maps that govern the motion of the desired legged locomotor system. In the first part of this thesis, we consider a SLIP-based legged locomotion model, which we call as Multi-Actuated Dissipative SLIP (MD-SLIP) that extends the simple SLIP model with two additional actuators. The first one is a linear actuator attached serially to the leg spring to ensure direct control on the compression and decompression of the leg spring. The second actuator is a rotatory one that is attached to hip, which provides ability to inject some torque inputs to the system dynamics, which is mainly inspired by biological legged locomotor systems. Following the analysis of MD-SLIP model, we utilize a partial feedback linearization strategy by which we can cancel some nonlinear dynamics of the legged locomotion model and obtain exact analytical solutions without needing any approximation. Having exact analytical solutions is crucial to investigate stability
A randomised controlled trial of mentalization-based treatment versus structured clinical management for patients with comorbid borderline personality disorder and antisocial perso

Background: Antisocial personality disorder (ASPD) is an under-researched mental disorder. Systematic reviews and policy documents identify ASPD as a priority area for further treatment research because of the scarcity of available evidence to guide clinicians and policymakers; no intervention has been established as the treatment of choice for this disorder. Mentalization-based treatment (MBT) is a psychotherapeutic treatment which specifically targets the ability to recognise and understand the mental states of oneself and others, an ability shown to be compromised in people with ASPD. The aim of the study discussed in this paper is to investigate whether MBT can be an effective treatment for alleviating symptoms of ASPD. Methods: This paper reports on a sub-sample of patients from a randomised controlled trial of individuals recruited for treatment of suicidality, self-harm, and borderline personality disorder. The study investigates whether outpatients with comorbid borderline personality disorder and ASPD receiving MBT were more likely to show improvements in symptoms related to aggression than those offered a structured protocol of similar intensity but excluding MBT components. Results: The study found benefits from MBT for ASPD-associated behaviours in patients with comorbid BPD and ASPD, including the reduction of anger, hostility, paranoia, and frequency of self-harm and suicide attempts, as well as the improvement of negative mood, general psychiatric symptoms, interpersonal problems, and social adjustment. Conclusions: MBT appears to be a potential treatment of consideration for ASPD in terms of relatively high level of acceptability and promising treatment effects. Trial registration: ISRCTN ISRCTN27660668, Retrospectively registered 21 October 2008
Comparison of Methods for Radio Position of Non-Emitting Dismounts

Radio Tomographic Imaging (RTI) is a form of Device Free Passive Localization (DFPL) that utilizes the Received Signal Strength (RSS) values from a collection of wireless transceivers to produce an image in order to localize a subject within a Wireless Sensor Network (WSN). Radio Mapping is another form of DFPL that can utilize the same RSS values from a WSN to localize a subject by comparing recent values to a set of calibration data. RTI and Radio Mapping have never been directly compared to one another as a means of localization within a WSN. The goal of this research is to compare using TelosB mote devices these approaches in a side-by-side manner. A real world WSN was constructed and both RTI and Radio Mapping methodologies were applied to identical data sets with the results compared and discussed. Initial results show that both methodologies have inherent advantages and disadvantages respective to one another; Radio Mapping performs significantly better in WSNs with a low number of transceivers being 100% accurate within the bounds of this experimentation, while RTI has significantly more simple calibration procedures.
Face Recognition using an Affine Sparse Coding approach

Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as face recognition applications, different images may be classified into the same class, and hence the classification performance may be decreased. In this paper, we propose an Affine Graph Regularized Sparse Coding approach for face recognition problem. Experiments on several well-known face datasets show that the proposed method can significantly improve the face classification accuracy. In addition, some experiments have been done to illustrate the robustness of the proposed method to noise. The results show the superiority of the proposed method in comparison to some other methods in face classification.
NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task

In this paper, we describe our supervised neural machine translation (NMT) systems that we developed for the news translation task for Kazakh↔English, Gujarati↔English, Chinese↔English, and English→Finnish translation directions. We focused on leveraging multilingual transfer learning and back-translation for the extremely low-resource language pairs: Kazakh↔English and Gujarati↔English translation. For the Chinese↔English translation, we used the provided parallel data augmented with a large quantity of back-translated monolingual data to train state-of-the-art NMT systems. We then employed techniques that have been proven to be most effective, such as back-translation, fine-tuning, and model ensembling, to generate the primary submissions of Chinese↔English. For English→Finnish, our submission from WMT18 remains a strong baseline despite the increase in parallel corpora for this year’s task.
Hybrid App Approach: Could It Mark the End of Native App Domination?

Aim/Purpose Despite millions of apps on the market, it is still challenging to develop a mobile app that can run across platforms using the same code. Background This paper explores a potential solution for developing cross platform apps by presenting the hybrid app approach. Methodology The paper first describes a brief evolution of the different mobile app development approaches and then compares them with the hybrid app approach. Next, it focuses on one specific hybrid app development framework called Ionic. Contribution The paper presents the hybrid app approach as an emerging trend in mobile app development and concludes with the highlight of its advantages and teaching implications. Findings The hybrid app approach reduces the learning curve and offers tools to allow the reuse of code to create apps for different mobile devices. Recommendations for Practitioners The experience that the paper describes in using Ionic framework to create a hybrid app can be adopted in a web design or mobile app development course. Impact on Society The advance in hybrid framework in general and the growing acceptance of open source framework, such as Ionic in particular, may provide an alternative to the native app domination and may trigger the rapid rise of hybrid apps in the years to come.