Miracle-dz/UniFAR-FTUs huggingface dataset:
D Simulation Base Code Release

This paper presents a base code release by the UT Austin Villa RoboCup 3D simulation team from the University of Texas at Austin. The code release, based off the 2015 UT Austin Villa RoboCup champion agent, but with some features such as high level strategy removed, provides a fully functioning agent and good starting point for new teams to the RoboCup 3D simulation league. Additionally the code release offers a foundational platform for conducting research in multiple areas including robotics, multiagent systems, and machine learning.
E006R02 Which Request Creates the Most Diet Change: A Reanalysis

This document presents a reanalysis of the data and the conclusions reported on September 20, 2015, by Humane League Labs in the blog post titled Report: Which request creates the most diet change and an accompanying report titled Report: Does Encouraging The Public To “Eat Vegan,” “Eat Vegetarian,” “Eat Less Meat,” or “Cut Out Or Cut Back On” Meat And Other Animal Products Lead To The Most Diet Change? The study examined four different messages encouraging reduced animal product consumption and a control message delivered to college students via a leaflet. Subsequent self-reported dietary changes were measured with a food frequency questionnaire. Based on our reanalysis of the data, we cannot conclude that any of the messages differs significantly from any others in inspiring self-reported changes in the consumption of animal products. Further, the study was insufficiently powered for us to place any confidence in the alternative claim that the four messages are equally effective. DOI 10.17605/OSF.IO/TFJ9Z
Word Sense Disambiguation Based on Mutual Information and Syntactic Patterns

This paper describes a hybrid system for WSD, presented to the English all-words and lexical-sample tasks, that relies on two different unsupervised approaches. The first one selects the senses according to mutual information proximity between a context word a variant of the sense. The second heuristic analyzes the examples of use in the glosses of the senses so that simple syntactic patterns are inferred. This patterns are matched against the disambiguation contexts. We show that the first heuristic obtains a precision and recall of . 58 and . 35 respectively in the all words task while the second obtains . 80 and . 25. The high precision obtained recommends deeper research of the techniques. Results for the lexical sample task are also provided.
Beohawk : Autonomous Quadrotor

In this paper, we introduce a Micro UAV system that can explore an unknown indoor space without the assistance of a positioning system such as GPS. The robot receives sensor measurements from cameras, sonar, and an infrared depth sensor. Using SLAM, it handles the data probabilistically and generates a map of the environment, which is used for setting waypoints and avoiding obstacles. The mechanical construction of the vehicle, low-level control, and sensor communication are also discussed in the paper. INTRODUCTION For the 6th International Aerial Robotics Competition, an autonomous aerial vehicle under 1.5 kilograms must explore an unknown office floor, localize itself according to the environment, identify and pick up a black USB drive, and return to a handler within the given time limit. The robot may also be intelligent enough to identify mission-related features, such as signs above rooms, or observe and avoid obstacles such as surveillance devices while traversing the hallways. Conceptual Solution The Aerial Robotics Team (ART) of the USC Robotics Society (USCRS) purposes a quadrotor design of its aerial robot vehicle, Beohawk, which consists of four motors located symmetrically at each end of an X-shape frame (figure 1). The frame of the quadrotor was custom built by our team members to be within the required weight and size range. Various sensors, the on-board computer, and other facilities are located at the center of the frame. An off-board computing station is dedicated to the majority of computational tasks; it receives data from the on-board computer, processes the data to determine future movements of the robot, and publishes operating commands back. The communication is done over a standard 802.11n network. Both computers run missionspecific programs written by our team. These programs run on the Robotic Operating System (ROS) and take advantage of many packages and tools made available by public contributors. Utilizing inertial and visual data from various sensors and processing the data with state-of-the-art algorithms, we hope to perform stabilization, navigation and mission planning on the quadrotor to complete the challenge.
Morphology in Greek Linguistics : A State-ofthe Art *

In recent years, morphology has received an increasing attention within linguistic theory. It deals with word structure and attracts significant interest in languages that are morphologically rich, such as Modern Greek (hereafter Greek). In this paper, I present an overview of the main theoretical studies that focus on Greek morphology, in the last four decades, with a particular emphasis on those following the framework of generative grammar. Reasons of space prevent me from giving an exhaustive presentation of all the topics that have been examined from a synchronic point of view. Moreover, I do not take into consideration studies on historical and dialectal morphology, lexical borrowing, as well as works that cover areas where morphological issues interact with research in domains such as computational linguistics, psycholinguistics, and neurolinguistics.
Semantic Web and Zero-Shot Learning of Large Scale Visual Classes

Zero-shot learning (ZSL) refers to the task of learning a model capable of classifying images into classes for which no sample is available as training data. This can be achieved by leveraging semantic features of the visual classes as an intermediate level of representation shared by both training classes (for which labeled images are provided as training data) and test classes (for which no image is available for training). Following the success of deep learning models in the traditional task of image classification, ZSL has recently attracted a lot of attention from the computer vision community as it holds the promise of scaling up the classification capacity of traditional image classifiers while easing the data collection process. While several models have recently been introduced for ZSL, arguably little attention has been given to the design of the visual class semantic features. In this paper, we propose to leverage the interlinking of knowledge bases published as Linked Open Data to provide different semantic feature representations of visual classes in a large-scale setting. Using a simple ZSL architecture, we compare the efficiency of the semantic features we extracted and find that some of them outperform the standard word embedding representations by a significant margin.
Aeration Process in Bioreactors as the Main Energy Consumer in a Wastewater Treatment Plant. Review of Solutions and Methods of Process Optimization

Due to the key role of the biological decomposition process of organic compounds in wastewater treatment, a very important thing is appropriate aeration of activated sludge, because microorganisms have to be supplied with an appropriate amount of oxygen. Aeration is one of the most energy-consuming processes in the conventional activated sludge systems of wastewater treatment technology (may consume from 50% to 90% of electricity used by a plant), which makes it the most cost-generating process incurred by treatment plants. The paper presents the construction of aeration systems, their classification as well as parameters and factors that significantly affect the aeration process e.g., oxygen transfer efficiency, diffuser fouling, methods of dealing with diffuser fouling, diffuser selection. Additionally, there are briefly presented “smart control” systems in wastewater treatment and effect of application control strategy based on Supervisory Control and Data Acquisition system connected with the decrease in the energy consumption for aeration of bioreactors with activated sludge. It is noted that before the process is optimized, the system should be equipped with suitable metering devices. Only when relevant data is available, the improvements can be carried out. However, it’s important, that the operator should regularly maintain good condition and high efficiency of diffusers.
Atomic Multi-Channel Updates with Constant Collateral in Bitcoin-Compatible Payment-Channel Networks

Current cryptocurrencies provide a heavily limited transaction throughput that is clearly insufficient to cater their growing adoption. Payment-channel networks (PCNs) have emerged as an interesting solution to the scalability issue and are currently deployed by popular cryptocurrencies such as Bitcoin and Ethereum. While PCNs do increase the transaction throughput by processing payments off-chain and using the blockchain only as a dispute arbitrator, they unfortunately require high collateral (i.e., they lock coins for a non-constant time along the payment path) and are restricted to payments in a path from sender to receiver. These issues have severe consequences in practice. The high collateral enables denial-of-service attacks that hamper the throughput and utility of the PCN. Moreover, the limited functionality hinders the applicability of current PCNs in many important application scenarios. Unfortunately, current proposals do not solve either of these issues, or they require Turing-complete language support, which severely limit their applicability. In this work, we present AMCU, the first protocol for atomic multi-channel updates and reduced collateral that is compatible with Bitcoin (and other cryptocurrencies with reduced scripting capabilities). We provide a formal model in the Universal Composability framework and show that AMCU realizes it, thus demonstrating that AMCU achieves atomicity and value privacy. Moreover, the reduced collateral mitigates the consequences of griefing attacks in PCNs while the (multi-payment) atomicity achieved by AMCU opens the door to new applications such as credit rebalancing and crowdfunding that are not possible otherwise. Moreover, our evaluation results demonstrate that AMCU has a performance in line with that of the Lightning Network (the most widely deployed PCN) and thus is ready to be deployed in practice.
The Development and Numerical Modeling of a Chua Circuit as a Pedagogical Tool

The electrical circuit created by and named for Leon Chua was constructed using discrete components and then compared with two computational models. The goal was to provide a hardware and software package to demonstrate the link between basic circuits and both non-linear dynamics and the construction of more complicated electronics. The physical circuit was made from resistors, capacitors, and operational amplifiers, and an oscilloscope was used to compare the circuit’s state with the numerical model. The model was implemented in a program written in C and a user interface was created using AutoHotkey. The program output was then compared with experimental data from the circuit and the accepted data to confirm the accuracy of each. The circuit was finally reconstructed to be more compact and user-friendly, while the program was updated and finalized to provide a comprehensive tool to students.
Title Evasion of Human Neutrophil-Mediated Host Defense during Toxoplasma gondii Infection

Neutrophils are a major player in host immunity to infection; however, the mechanisms by which human neutrophils respond to the intracellular protozoan parasite Toxoplasma gondii are still poorly understood. In the current study, we found that, whereas primary human monocytes produced interleukin-1beta (IL-1 ) in response to T. gondii infection, human neutrophils from the same blood donors did not. Moreover, T. gondii inhibited lipopolysaccharide (LPS)-induced IL-1 synthesis in human peripheral blood neutrophils. IL-1 suppression required active parasite invasion, since heat-killed or mycalolide B-treated parasites did not inhibit IL-1 release. By investigating the mechanisms involved in this process, we found that T. gondii infection of neutrophils treated with LPS resulted in reduced transcript levels of IL-1 and NLRP3 and reduced protein levels of pro-IL-1 , mature IL-1 , and the inflammasome sensor NLRP3. In T. gondii-infected neutrophils stimulated with LPS, the levels of MyD88, TRAF6, IKK , IKK , and phosphorylated IKK / were not affected. However, LPS-induced I B degradation and p65 phosphorylation were reduced in T. gondii-infected neutrophils, and degradation of I B was reversed by treatment with the proteasome inhibitor MG-132. Finally, we observed that T. gondii inhibited the cleavage and activity of caspase-1 in human neutrophils. These results indicate that T. gondii suppression of IL-1 involves a two-pronged strategy whereby T. gondii inhibits both NFB signaling and activation of the NLRP3 inflammasome. These findings represent a novel mechanism of T. gondii evasion of human neutrophilmediated host defense by targeting the production of IL-1 . IMPORTANCE Toxoplasma gondii is an obligate intracellular parasite that infects approximately one-third of humans worldwide and can invade virtually any nucleated cell in the human body. Although it is well documented that neutrophils infiltrate the site of acute T. gondii infection, there is limited understanding of how human neutrophils respond to T. gondii. Neutrophils control infectious pathogens by a variety of mechanisms, including the release of the cytokine IL-1 , a major driver of inflammation during infection. This study reveals that T. gondii is able to inhibit IL-1 production in human neutrophils by impairing the activation of the NFB signaling pathway and by inhibiting the inflammasome, the protein complex responsible for IL-1 maturation. This two-pronged strategy of targeting the IL-1 pathway may facilitate the survival and spread of T. gondii during acute infection.
The moderating effect of product knowledge and product involvement on online information search behavior

This study attempts to examine the effect of product knowledge on consumers’ online information search behavior. In doing so, product knowledge is conceptualized as a bi-dimensional construct: familiarity and expertise. We argue that product knowledge will have a positive effect on consumers’ online information search effort. Besides, we investigate the moderating effort of product involvement on the relationship between product knowledge and online information search effort. Empirical results confirm the significant and positive effect of product knowledge on consumers’ online information search effort. Moreover, we find that product involvement will exert a negative moderating effect on the relationship between product knowledge and online information search effort. Keyword: product knowledge, product involvement, information search
A Communication Means for Totally Locked-in ALS Patients Based on Changes in Cerebral Blood Volume Measured with Near-Infrared Light

A communication means is presented for patients with amyotrophic lateral sclerosis in totally locked-in state who are completely unable to move any part of the body and have no usual communication means. The method utilizes changes in cerebral blood volume accompanied with changes in brain activity. When a patient is asked a question and the answer to it is ‘yes’, the patient makes his or her brain active. The change in blood volume at the frontal lobe is detected with near-infrared light. The instantaneous amplitude and phase of the change are calculated, and the maximum amplitude and phase change are obtained. The answer ‘yes’ or ‘no’ of the patient is detected using a discriminant analysis with these two quantities as variables. The rate of correct detection is 80% on average.
Prevalence of poly cystic ovarian syndrome among students of a tertiary care teaching hospital

Purpose of Study: India already has highest number of patients with type 2 diabetes mellitus globally and rapid rise of the incidence of obesity in children is the prime reason for increasing insulin resistance, the metabolic syndrome, dyslipidemia and polycystic ovarian syndrome. Prevalence of this syndrome in our community remains unknown. Objective: The study was done to determine the prevalence of PCOS among students in Tamil Nadu, India due to sparsity of PCOS prevalence data in the state. We attempted to find its prevalence in students, aged between 17-23 years in a tertiary care teaching hospital. Materials and Methods: A cross sectional study with sample size 246 was done. Students of aged 17-23 years were randomly selected from various batches of medical and paramedical courses. Presence of hyper androgenic features and menstrual irregularities were assessed and they were physically examined to validate the self-assessed mFG scoring. The diagnosis of PCOS was made on the basis of Rotterdam’s criteria. Results: Seventy nine students (32.11%) met the criteria to be diagnosed as polycystic ovarian syndrome. Thirteen students (5.2%) had a history of thyroid dysfunction. The other clinical features of hyperandrogenism among those who had PCOS were like oily skin (13.82%), acne (8.53%), increased hair growth (5.69%), male pattern thinning of hair (9.75%), high degree of intolerance to cold and heat (3.25%) and galactorrhoea (0%). Conclusion: PCOS can be thought of as a precursor syndrome that, if screened for, can help in early identification of risk of highly morbid conditions, in adolescent girls and women in their early twenties. Keywords: PCOS, Adolescent, Risk factors.
11 NOSTALGIA SHAPES AND POTENTIATES THE FUTURE

Nostalgia is “a sentimental longing or wistful affection for the past” (Pearsall, 1998, p. 1266). This dictionary definition aligns well with lay conceptions (i.e., prototype analysis; cf. Rosch, 1978). Laypeople (Hepper, Ritchie, Sedikides, & Wildschut, 2012) across 18 cultures (Hepper et al., 2014) think of the construct “nostalgia” as encompassing fond, rose-colored, and personally important (i.e., self-defining) memories of one’s childhood or relationships, but also as encompassing pining and wishing for momentary returns to the past. They think of it, then, as a bittersweet (albeit more positive than negative) emotion that is relevant to the self and close others. Both content analyses of nostalgic narratives (Abeyta, Routledge, Roylance, Wildschut, & Sedikides, 2015; Holak & Havlena, 1998; Wildschut, Sedikides, Arndt, & Routledge, 2006, Studies 1–2) and in vivo manipulations of nostalgia (Baldwin, Biernat, & Landau, 2015; Wildschut et al., 2006, Studies 5–7; Stephan, Sedikides, & Wildschut, 2012) have corroborated these properties of the emotion. The most salient property of nostalgia, however, is its reference to the past: The emotion comprises recollections of meaningful events from one’s life. Partly because of this reference, nostalgia has often been considered an escapist reaction to the demands of the present. For example, it has been labeled “a regressive manifestation” (Castelnuovo-Tedesco, 1980, p. 110), that may arise from a subconscious desire to return to one’s fetal state (Fodor, 1950), and has been equated with living in times past (Best & Nelson, 1985; Hertz, 1990; Holbrook, 1994). The standard conceptualization of nostalgia has portrayed it as a retreat from the world—often into an idealized yesteryear, as a quest for solace in daydream, and as anxiety if not fear of the future (Flinn, 1992; Nawas & Jerome, 1965; see also for reviews: Batcho, 2013; Sedikides, Wildschut, & Baden, 2004.)
Hazel Dormouse Nest Material Preferences Mammal Communications

Non-hibernating hazel dormice (Muscardinus avellanarius) construct nests in shrub and tree vegetation up to 10 m above the ground. They also readily use and build nests in boxes, which are often used as a tool to monitor populations. The availability of natural nest materials may affect nest site selection or nest box utilisation and to gain a better understanding of this we analysed the materials used in 56 dormouse nests, collected from boxes within six southern English woodlands in 2009, and estimated collection distances. The contribution individual nest materials made to the nests were assessed using dry weights. Out of 56 nests, 15 (26.8%) did not include any material from the plant species to which the nest box was attached. The total number of materials used was 18, with between one and eight materials used per nest (n=56, ? ̅? = 3.54, SD=1.48). The estimated distances travelled to collect these materials ranged from 0 m to 50 m (n=197, ? ̅? =3.29 m, SD=6.06). Dry weights of individual nests ranged from 4.25g to 38.01g (n=56, ? ̅? =18.06 g, SD=8.25 g). The dry weight of an individual material in a nest ranged from 0.25 g (11 different materials) to 30.5 g (honeysuckle bark) (n=197 ? ̅? =4.38 g, SD=5.13 g). Based on dry weight, the percentage contribution of a single material to an individual nest ranged from 0.8% (silver birch leaves) to 96.2% (honeysuckle bark) (n=197, ? ̅? =24.91%, SD=26.37). There were statistically significant negative correlations between the distance travelled and the dry weight of a material (n=197, rs = -0.211, p=0.003), and the distance travelled and the percentage nest weight of a material (n=197, rs = -0.259, p=<0.001), although neither of these associations were particularly informative biologically. Where honeysuckle bark (Lonicera periclymenum) was not closely available, dormice could travel more than twice as far to collect it as any other material. The three furthest distances recorded were 30 m, 45 m and 50 m. Honeysuckle bark was also the most frequently used nest material, occurring in 84% of the sampled nests, and was most often the material comprising the largest dry weight (35.7%). The dry weight and the % of total nest weight of honeysuckle bark were significantly greater than other materials. Staffordshire University, Facility of Computing, Engineering and Sciences, School of Sciences, Science Centre, Leek Road, Stoke-on-Trent, Staffordshire, ST4 2DF, UK. Habitat Practice, 3 The Crescent, Long Wittenham, Abingdon, Oxfordshire, OX14 4QA. Arcadis, The Mill, Brimscombe Port, Stroud, Gloucestershire, GL5 2QG, UK. University of Bristol, School of Biological Sciences, Woodland Road, Bristol, BS8 1UG. Corresponding author: Nick.Downs@arcadis.com
Analysis of the operating life for battery-operated wireless sensor nodes

This paper presents an analysis of the lifespan of sensor nodes in a wireless network powered by batteries. For this, the energy requirements of the node electronics, sensors, radiofrequency data transmission protocols and the diverse energy modes have been considered. The characterization of the discharge profile for a battery with nominal 3.7 V output and 2Ah energy combined with the estimation of energy requirements of the selected node architecture show a general method for estimating the node behavior from the energetic point of view.
Autonomous Quadrotor for the 2015 IARC by Team Elikos

The aim of this paper is to present a system design for a fully autonomous microaerial vehicle capable of demonstrating behavior for the completion of the IARC mission 7. While outdoor navigation methods have been extensively researched and demonstrated in the past, the system we hereby present shall be able to demonstrate indoor navigation capabilities with the use of GNC sensors, a LIDAR, and cameras with a heavy emphasis on computer vision for localization.