nils-herrmann/clean_scirepeval huggingface dataset:
EMNLP 2016 Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods

In this paper, we focus on the synthetic understanding of documents, specifically reading comprehension (RC). A current problem with RC is the need for a method of analyzing the RC system performance to realize further development. We propose a methodology for examining RC systems from multiple viewpoints. Our methodology consists of three steps: define a set of basic skills used for RC, manually annotate questions of an existing RC task, and show the performances for each skill of existing systems that have been proposed for the task. We demonstrated the proposed methodology by annotating MCTest, a freely available dataset for testing RC. The results of the annotation showed that answering RC questions requires combinations of multiple skills. In addition, our defined RC skills were found to be useful and promising for decomposing and analyzing the RC process. Finally, we discuss ways to improve our approach based on the results of two extra annotations.
DIRECTION OF ARRIVAL ( DOA ) DETERMINATION BASED ON MONOPULSE CONCEPTS

Monopulse is a classical radar technique [1] of precise direction finding of a source or target. The concept can be used both in radar applications as well as in modern communication techniques. The information contained in antenna sidelobes normally disturbs the determination of DOA in the case of a classical monopulse system. The suitable combination of amplitudeand phase-monopulse algorithm leads to the novel complex monopulse algorithm (CMP), which also can utilise information from the sidelobes by using the phase shift of the signals in the sidelobes in relation to the mainlobes.
The Effect of Vestibular Stimulation Exercises on Balance, Coordination, and Agility in Children with Down Syndrome

Children with Down syndrome (DS) demonstrate vestibular, sensory, motor and perceptual impairments which manifests as decreased levels of balance, strength, and motor coordination. Together these issues may decrease functional ability leading to more sedentary lifestyles. Use of vestibular stimulation therapy has been attempted to assist in improving motor control and balance in this population.  The objective of this study was to determine the effect of a vestibular stimulation exercise program on balance, coordination and agility in children with DS.  Seventeen children with DS were recruited from two summer enrichment programs and were divided into two groups based on age (group 1: 9.9 yrs ±2.8; group 2: 18.4 yrs. ±1.7). Assessments were completed using BOT2 subtests for balance, bilateral and upper limb coordination, and agility prior to and after six weeks of twice weekly vestibular stimulation exercises.  Both groups showed improvement in upper limb coordination and agility, while group 2 demonstrated improvement in one of the balance subtests.  These results suggest a vestibular stimulation exercise program could increase balance and agility in children with DS and possibly assist in increasing their functional ability.
Brand relationships and brand equity in franchising ☆ , ☆ ☆

☆ The authors would like to acknowledge the financial ash Research Graduate School (MRGS) and the Faculty Monash University. ☆☆The authors would like to thank the two anonymou and invaluable feedback.  Corresponding author at: Department of Marketin 197, Caulfield East, Victoria, 3145.  256 E-mail addresses: munyaradzi.nyadzayo@monash.ed margaret.matanda@monash.edu (M.J. Matanda), michae (M.T. Ewing). 1 Tel.: +61 3 990 31286 +61 3 990 44021.
Semi-autonomous control system of rescue crawler robot having flippers for getting Over unknown-Steps

A rescue crawler robot with flipper arms has high ability to get over rough terrain, but it is hard to control its flipper arms in remote control. The authors aim at development of a semi-autonomous control system for the solution. In this paper, the authors propose a sensor reflexive method that controls these flippers autonomously for getting over unknown steps. Our proposed method is effective in unknown and changeable environment. The authors applied the proposed method to Aladdin, and examined validity of these control rules in unknown environment.
Exploring family violence Links between child maltreatment and domestic violence

of children are not new phenomena, both have been evident in families for centuries (Solomon 1973; Smith 1975; Dobash & Dobash 1979; Radbill 1980). Gordon (1988, as cited in Edleson 1999a) has suggested that levels of family violence have remained relatively constant over time, and that it is not so much the incidence of violence that has changed, rather that its level of visibility has shifted with the ‘ebb-and-flow pattern of concern about family violence’ (1988:2, as cited in Edleson 1999a:839) and the ever-expanding definitions of what constitutes ‘family violence’, ‘domestic violence’ and ‘child maltreatment’.
A short convergence proof for a class of ant colony optimization algorithms

In this paper, we prove some convergence properties for a class of ant colony optimization algorithms. In particular, we prove that for any small constant 0 and for a sufficiently large number of algorithm iterations , the probability of finding an optimal solution at least once is ( ) 1 and that this probability tends to 1 for . We also prove that, after an optimal solution has been found, it takes a finite number of iterations for the pheromone trails associated to the found optimal solution to grow higher than any other pheromone trail and that, for , any fixed ant will produce the optimal solution during the th iteration with probability 1 (̂ min max), where min and max are the minimum and maximum values that can be taken by pheromone trails.
Anticancer Activity of Amauroderma rude

More and more medicinal mushrooms have been widely used as a miraculous herb for health promotion, especially by cancer patients. Here we report screening thirteen mushrooms for anti-cancer cell activities in eleven different cell lines. Of the herbal products tested, we found that the extract of Amauroderma rude exerted the highest activity in killing most of these cancer cell lines. Amauroderma rude is a fungus belonging to the Ganodermataceae family. The Amauroderma genus contains approximately 30 species widespread throughout the tropical areas. Since the biological function of Amauroderma rude is unknown, we examined its anti-cancer effect on breast carcinoma cell lines. We compared the anti-cancer activity of Amauroderma rude and Ganoderma lucidum, the most well-known medicinal mushrooms with anti-cancer activity and found that Amauroderma rude had significantly higher activity in killing cancer cells than Ganoderma lucidum. We then examined the effect of Amauroderma rude on breast cancer cells and found that at low concentrations, Amauroderma rude could inhibit cancer cell survival and induce apoptosis. Treated cancer cells also formed fewer and smaller colonies than the untreated cells. When nude mice bearing tumors were injected with Amauroderma rude extract, the tumors grew at a slower rate than the control. Examination of these tumors revealed extensive cell death, decreased proliferation rate as stained by Ki67, and increased apoptosis as stained by TUNEL. Suppression of c-myc expression appeared to be associated with these effects. Taken together, Amauroderma rude represented a powerful medicinal mushroom with anti-cancer activities.
Emerging and Recurring Data-Driven Storytelling Techniques : Analysis of a Curated Collection of Recent Stories

Storytelling with data is becoming an important component of many fields such as graphic design, the advocacy of causes, and journalism. New techniques for integrating data visualization into narrative stories have now become commonplace. Authors are enabling new reader experiences, such as linking textual narrative and data visualizations through dynamic queries embedded in the text. Novel means of communicating position and navigating within the narrative also have emerged, such as utilizing scrolling to advance narration and initiate animations. We advance the study of narrative visualization through an analysis of a curated collection of recent data-driven stories shared on the web. Drawing from the results of this analysis, we present a set of techniques being employed in these examples, organized under four high-level categories that help authors to tell stories in creative ways: communicating narrative and explaining data, linking separated story elements, enhancing structure and navigation, and providing controlled exploration. We describe the benefits of each storytelling technique along with a number of example applications of the ideas through recent data-driven stories. Additionally, we discuss the trends we observed as well as how the field has evolved and grown. Finally, we conclude with a discussion of areas for future research.
Hair shafts in trichoscopy: clues for diagnosis of hair and scalp diseases.

Trichoscopy (hair and scalp dermoscopy) analyzes the structure and size of growing hair shafts, providing diagnostic clues for inherited and acquired causes of hair loss. Types of hair shaft abnormalities observed include exclamation mark hairs (alopecia areata, trichotillomania, chemotherapy-induced alopecia), Pohl-Pinkus constrictions (alopecia areata, chemotherapy-induced alopecia, blood loss, malnutrition), comma hairs (tinea capitis), corkscrew hairs (tinea capitis), coiled hairs (trichotillomania), flame hairs (trichotillomania), and tulip hairs (in trichotillomania, alopecia areata). Trichoscopy allows differential diagnosis of most genetic hair shaft disorders. This article proposes a classification of hair shaft abnormalities observed by trichoscopy.
Automatic Street Light Control System Using Microcontroller

This paper aims at designing and executing the advanced development in embedded systems for energy saving of street lights. Nowadays, human has become too busy, and is unable to find time even to switch the lights wherever not necessary. The present system is like, the street lights will be switched on in the evening before the sun sets and they are switched off the next day morning after there is sufficient light on the roads. this paper gives the best solution for electrical power wastage. Also the manual operation of the lighting system is completely eliminated. In this paper the two sensors are used which are Light Dependent Resistor LDR sensor to indicate a day/night time and the photoelectric sensors to detect the movement on the street. the microcontroller PIC16F877A is used as brain to control the street light system, where the programming language used for developing the software to the microcontroller is C-language. Finally, the system has been successfully designed and implemented as prototype system.  Street light, LDR, photoelectric sensor, microcontroller, energy saving and circuit design.
Big data are coming to psychiatry: a general introduction

Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools). Analysis of the big data will provide unprecedented opportunities for exploration, descriptive observation, hypothesis generation, and prediction, and the results of big data studies will be incorporated into clinical practice. Technical challenges remain in the quality, analysis and management of big data. This paper discusses some of the fundamental opportunities and challenges of big data for psychiatry.
Fast, autonomous flight in GPS-denied and cluttered environments

One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a-priori knowledge of the operating environment. This challenge is addressed in the present paper. We describe the system design and software architecture of our proposed solution, ar X iv :1 71 2. 02 05 2v 1 [ cs .R O ] 6 D ec 2 01 7 and showcase how all the distinct components can be integrated to enable smooth robot operation. We provide critical insight on hardware and software component selection and development, and present results from extensive experimental testing in real-world warehouse environments. Experimental testing reveals that our proposed solution can deliver fast and robust aerial robot autonomous navigation in cluttered, GPS-denied environments.
Digital forensic analysis of cloud storage data in IDrive and Mega cloud drive

In this technological world one of the general method for user to save their data is cloud. Most of the cloud storage company provides some storage space as free to its users. Both individuals and corporate are storing their files in the cloud infrastructure so it becomes a problem for a forensics analyst to perform evidence acquisition and examination. One reason that makes evidence acquisition more difficult is user data always saved in remote computer on cloud. Various cloud companies available in the market serving storage as one of their services and everyone delivering different kinds of features and facilities in the storage technology. One area of difficulty is the acquisition of evidential data associated to a cybercrime stored in a different cloud company service. Due to lack of understanding about the location of evidence data regarding which place it is saved could also affect an analytical process and it take a long time to speak with all cloud service companies to find whether data is saved within their cloud. By analyzing two cloud service companies (IDrive and Mega cloud drive) this study elaborates the various steps involved in the activity of obtaining evidence on a user account through a browser and then via cloud software application on a Windows 7 machine. This paper will detail findings for both the Mega cloud drive and IDrive client software, to find the different evidence that IDrive and the mega cloud drive leaves behind on a user computer. By establishing the artifacts on a user machine will give an overall idea regarding kind of evidence residue in user computer for investigators. Key evidences discovered on this investigation comprises of RAM memory captures, registry files application logs, file time and date values and browser artifacts are acquired from these two cloud companies on a user windows machine.
KL.01: Development of the adolescent brain: implications for executive function and social cognition

Adolescence is a time of considerable development at the level of behaviour, cognition and the brain. This article reviews histological and brain imaging studies that have demonstrated specific changes in neural architecture during puberty and adolescence, outlining trajectories of grey and white matter development. The implications of brain development for executive functions and social cognition during puberty and adolescence are discussed. Changes at the level of the brain and cognition may map onto behaviours commonly associated with adolescence. Finally, possible applications for education and social policy are briefly considered.
Successful ERP implementation: an integrative model

The paper aims to present a conceptual model that better defines critical success factors to ERP implementation organized with the technology, organization and environment (TOE) framework. The paper also adds to current literature the critical success factor of trust with the vendor, system and consultant which has largely been ignored in the past.  The paper uses past literature and theoretical and conceptual framework development to illustrate a new conceptual model that incorporates critical success factors that have both been empirically tied to ERP implementation success in the past and new insights into how trust impacts ERP implementation success.  The paper finds a lack of research depicted in how trust impacts ERP implementation success and likewise a lack of a greater conceptual model organized to provide insight into ERP implementation success.  The paper proposes a holistic conceptual framework for ERP implementation success and discusses the impact that trust with the vendor, system and consultant has on ERP implementation success.
Coping efficacy and psychological problems of children of divorce.

Three models of the relations of coping efficacy, coping, and psychological problems of children of divorce were investigated. A structural equation model using cross-sectional data of 356 nine- to twelve-year-old children of divorce yielded results that supported coping efficacy as a mediator of the relations between both active coping and avoiding coping and psychological problems. In a prospective longitudinal model with a subsample of 162 of these children, support was found for Time 2 coping efficacy as a mediator of the relations between Time 1 active coping and Time 2 internalizing of problems. Individual growth curve models over four waves also found support for coping efficacy as a mediator of the relations between active coping and psychological problems. No support was found for alternative models of coping as a mediator of the relations between efficacy and symptoms or for coping efficacy as a moderator of the relations between coping and symptoms.
An improved approach for robust road marking detection and tracking applied to multi-lane estimation

In this paper, an original and innovative algorithm for multi-lane detection and estimation is proposed. Based on a three-step process, (1) road primitives extraction, (2) road markings detection and tracking, (3) lanes shape estimation. This algorithm combines several advantages at each processing level and is quite robust to the extraction method and more specifically to the choice of the extraction threshold. The detection step is so efficient, by using robust poly-fitting based on the point intensity of extracted points, that correction step is almost not necessary anymore. This approach has been used in several project in real condition and its performances have been evaluated with the sensor data generated from SiVIC platform. This validation stage has been done with a sequence of 2500 simulated images. Results are very encouraging : more than 95% of marking lines are detected for less than 2% of false alarm, with 3 cm accuracy at a range of 60 m.
Early life adversities or high fat diet intake reduce cognitive function and alter BDNF signaling in adult rats: Interplay of these factors changes these effects

Environmental factors, like early exposure to stressors or high caloric diets, can alter the early programming of central nervous system, leading to long-term effects on cognitive function, increased vulnerability to cognitive decline and development of psychopathologies later in life. The interaction between these factors and their combined effects on brain structure and function are still not completely understood. In this study, we evaluated long-term effects of social isolation in the prepubertal period, with or without chronic high fat diet access, on memory and on neurochemical markers in the prefrontal cortex of rats. We observed that early social isolation led to impairment in short-term and working memory in adulthood, and to reductions of Na(+),K(+)-ATPase activity and the immunocontent of phospho-AKT, in prefrontal cortex. Chronic exposure to a high fat diet impaired short-term memory (object recognition), and decreased BDNF levels in that same brain area. Remarkably, the association of social isolation with chronic high fat diet rescued the memory impairment on the object recognition test, as well as the changes in BDNF levels, Na(+),K(+)-ATPase activity, MAPK, AKT and phospho-AKT to levels similar to the control-chow group. In summary, these findings showed that a brief social isolation period and access to a high fat diet during a sensitive developmental period might cause memory deficits in adulthood. On the other hand, the interplay between isolation and high fat diet access caused a different brain programming, preventing some of the effects observed when these factors are separately applied.
Choice of Software Development Methodologies: Do Organizational, Project, and Team Characteristics Matter?

Organizations can choose from software development methodologies ranging from traditional to agile approaches. Researchers surveyed project managers and other team members about their choice of methodologies. The results indicate that although agile methodologies such as Agile Unified Process and Scrum are more prevalent than 10 years ago, traditional methodologies, including the waterfall model, are still popular. Organizations are also taking a hybrid approach, using multiple methodologies on projects. Furthermore, their choice of methodologies is associated with certain organizational, project, and team characteristics.
Histology and ultrastructure of the thymus during development in tilapia, Oreochromis niloticus.

The thymus in teleost fishes plays an important role in producing functionally competent T-lymphocytes. However, the thymus in tilapia is not well known, which greatly hampers investigations into the immune responses of tilapia infected by aquatic pathogens. The histological structure and ultrastructure of the thymus in Oreochromis niloticus, including embryos and larvae at different developmental stages, juveniles, and adult fish, were systematically investigated using whole mount in situ hybridization (WISH), and light and transmission electron microscopy (TEM). The position of the thymus primordium was first labeled in the embryo at 2 days post-fertilization (dpf) with the thymus marker gene recombination activating gene 1 (Rag1), when the water temperature was 27 °C. Obvious structures of the thymus were easily observed in 4-dpf embryos. At this stage, the thymus was filled with stem cells. At 6 dpf, the thymus differentiated into the cortex and medulla. The shape of the thymus was 'broad bean'-like during the early stages from 4 to 10 dpf, and became wedge-shaped in fish larvae at 20 dpf. At 6 months post-fertilization (mpf), the thymus differentiated into the peripheral zone, central zone, and inner zone. During this stage, myoid cells and adipocytes appeared in the inner zone following thymus degeneration. Then, the thymus displayed more advanced degeneration by 1 year post-fertilization (ypf), and the separation of cortex and medulla was not observed at this stage. The thymic trabecula and lobule were absent during the entire course of development. However, the typical Hassall's corpuscle was present and underwent degeneration. Additionally, TEM showed that the thymic tissues contained a wide variety of cell types, namely lymphocytes, macrophages, epithelial cells, fibroblasts, and mastocytes.