nils-herrmann/clean_scirepeval huggingface dataset:
The Relationship between Types of Bullying Experienced by Primary School Students and Their Anxiety, State Trait, Self Esteem and Certain Socio Demographic Characteristics

Bullying experienced by children causes negative emotions which lead to failure in their lives. This study aims to determine the relationship between types of bullying and anxiety, state trait, self esteem and certain socio demographic characteristics of primary school students who exposed to bullying at least two times. A primary school in the city center of eastern part of Turkey was selected by simple random sampling method. A socio demographic questionnaire, which was developed by the researchers, and state trait anxiety inventory and self esteem scales were provided to 595 students in this school by explaining how to fill out the questionnaires between January 1 and January 31, 2015. The most common types of bullying expressed by children were kicking and slapping in the physical bullying 11.7% kidding in the verbal bullying 14.1% discrimination in the emotional bullying 7.3% and sexually explicit expressions in the sexual bullying type 4.2%
Types of Bullying in the Senior High Schhools in Ghana

The main objective of the study was to examine the types of bullying that were taking place in the senior high schools in Ghana. A multi stage sampling procedure, comprising purposive, simple random and snowball sampling technique, was used in the selection of the sample. A total of 354 respondents were drawn six schools in Ashanti, Central and Northern Regions. The interview schedule was administered to three categories of respondents, these were bullies, victims of bullies and bystanders in bullying. The various types of bullying which were going on in the schools were; physical, social, verbal, cyber and psychological. Accordingly the study revealed that physical and verbal bullying were rampant in the various schools in the country. The study recommends the need for the schools to set up a system which will identify the various types and also stop the bullying in the schools. Students should be counselled and made aware of the harmful effects of bullying in the schools.  Bullies, Victims, Bystanders, Physical, Social, Verbal, Cyber and Psychological.
Comparing the net cost of CSP TES to PV deployed with battery storage

Concentrated solar power with thermal energy storage (CSP TES) is a unique source of renewable energy in that its energy can be shifted over time and it can provide the electricity system with dependable generation capacity. In this study, we provide a framework to determine if the benefits of CSP TES (shiftable energy and the ability to provide firm capacity) exceed the benefits of PV and firm capacity sources such as long duration battery storage or conventional natural gas combustion turbines (CTs) The results of this study using current capital cost estimates indicate that a combination of PV and conventional gas CTs provides a lower net cost compared to CSP TES and PV with batteries. Some configurations of CSP TES have a lower net cost than PV with batteries for even the lowest battery cost estimate. Using projected capital cost targets, however, some configurations of CSP TES have a lower net cost than PV with either option for even the lowest battery cost estimate. The net cost of CSP TES varies w.
Improving teaching capacity to increase student achievement: The key role of data interpretation by school leaders

This paper argues that in a well organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro effect sizes such as "whole of school" metrics are useful for school leaders in their professional development roles, there are important micro conditions that can be uncovered in a more detailed analysis of student achievement data.  Evidence of student achievement in a variety of standardised and non standardised assessment tasks was subjected to examination in a post hoc, case study design. The assessment tasks were the South Australian Spelling Test Waddington Reading Test, a school wide diagnostic writing task, teacher running records and National Assessment Program for Literacy and Numeracy. Performance in selected classrooms was compared on these tests utilising a variety of parametric quantitative.
A comprehensive excitatory input map of the striatum reveals novel functional organization
Venue: eLife

The striatum integrates excitatory inputs from the cortex and the thalamus to control diverse functions. Although the striatum is thought to consist of sensorimotor, associative and limbic domains, their precise demarcations and whether additional functional subdivisions exist remain unclear. How striatal inputs are differentially segregated into each domain is also poorly understood. This study presents a comprehensive map of the excitatory inputs to the mouse striatum. The input patterns reveal boundaries between the known striatal domains. The most posterior striatum likely represents the 4th functional subdivision, and the dorsomedial striatum integrates highly heterogeneous, multimodal inputs. The complete thalamo cortico striatal loop is also presented, which reveals that the thalamic subregions innervated by the basal ganglia preferentially interconnect with motor related cortical areas. Optogenetic experiments show the subregion specific heterogeneity in the synaptic properties of striatal inputs from both the cortex and the thalamus. This projectome will guide functional studies investigating diverse striatal functions.
Cytoarchitecture of nitrergic neurons in the human striatum and subthalamic nucleus
Venue: Brain Research Bulletin

Nitric oxide (NO) is a gaseous molecule that modulates several physiological processes, including signal transmission in the central nervous system. There is evidence supporting NO as a major neurotransmitter involved in motor and emotion/behavior control. We investigated the distribution and morphology of nitrergic neurons in the two main input structures of the basal ganglia of human brain: the striatum and subthalamic nucleus.  We studied samples of striatum (caudate and putamen) and subthalamic nucleus of 20 human brains from subjects without neurological/psychiatric diseases. The tissues were stained by histochemistry for nicotinamide adenine dinucleotide phosphate diaphorase activity and by immunohistochemistry for neuronal NO synthase (nNOS) Subsequently, we analyzed the nitrergic neuronal profile and its morphometric parameters.  Our data corroborate that approximately 2% of neurons in striatum express nNOS and these exhibited morphology characteristic of interneurons. Posterior regions of the striatum have a higher nitrergic neuronal profile than anterior regions of this nucleus suggesting an anteroposterior gradient of nitrergic neurons. Posterior limbic associated areas of the striatum have a higher nitrergic neuronal profile compared to other functional subdivisions. Also, approximately 90% of neurons in the subthalamic nucleus express nNOS.  A remarkable presence of nitrergic neurons in the human striatum and subthalamic nucleus suggests that NO may play a critical role in the physiology of these nuclei.
Design of Electronic Ballast for Short Arc Xenon Lamp With Interleaved Half Wave Rectifier
Venue: IEEE Transactions on Power Electronics

This paper presents an interleaved half wave rectifier circuit, which constitutes an electronic ballast with high open voltage gain and current doubler. It is suitable for applications in short arc xenon lamp needing high open circuit voltage and low operating voltage. By integrating interleaved half wave rectifier with LCC resonant circuit, the electronic ballast can provide a low arc sustaining current dc power source with low ripple and dimmable capability along with starting current suppression feature. Finally, a 25 A 500 W short arc xenon lamp electronic ballast is developed to possess full load efficiency as high as 91.32% along with dimming range falling between 7.6% and 100% and peak starting current being as low as 16 A.
Convoluted Mixture of Deep Experts for Robust Semantic Segmentation

Robust scene understanding of outdoor environments using passive optical sensors is a critical problem characterized by changing conditions throughout the day and across seasons. The perception models on a robot should be able learn features impervious to these factors in order to be operable in the real world. In this paper, we propose a convoluted mixture of deep experts (CMoDE) model that enables a multistream deep neural network architecture to learn features from complementary modalities and spectra that are resilient to commonly observed environmental disturbances. Our model first adaptively weighs features from each of the individual experts and then further learns fused representations that are robust to these disturbances namely shadows, snow, rain, glare and motion blur. We comprehensively evaluate the CMoDE model against several other existing fusion approaches and show that our proposed model exceeds the state of the art.
Introduction to Apache Flink: Stream Processing for Real Time and Beyond

Theres growing interest in learning how to analyze streaming data in large scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do welluntil now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities. Authors Ellen Friedman and Kostas Tzoumas show technical and nontechnical readers alike how Flink is engineered to overcome significant tradeoffs that have limited the effectiveness of other approaches to stream processing. Youll also learn how Flink has the ability to handle both stream and batch data processing with one technology. Learn the consequences of not doing streaming wellin retail and marketing, IoT, telecom, and banking and finance Explore how to design data architecture to gain the best advantage from stream processing Get an overview of Flinks capabilities and features, along with examples of how companies use Flink, including in production Take a technical dive into Flink, and learn how it handles time and stateful computation Examine how Flink processes both streaming (unbounded) and batch (bounded) data without sacrificing performance
Fish liver and gill cells as cytogenotoxic indicators in assessment of water quality
Venue: Environmental Science and Pollution Research

The present study was aimed to evaluate the effect of municipal wastewater of Tung Dhab drain to freshwater fish Labeo rohita through genotoxicity assays. The idea is to explore and standardize procedures for assessment of toxic impact of pollutant at the cellular level in aquatic species. Hence, chronic, non renewal toxicity tests were performed with sublethal concentrations (17.7, 26.6 and 35.4 of wastewater for exposure durations of 15, 30 and 60 days. Recovery experiments were also performed for duration of 60 days. Higher micronuclei (MN) and binuclei (BN) frequencies were recorded in fluorescently stained liver cells as compared to frequencies obtained for gill cells and erythrocytes. The induced frequencies of MN, BN and nuclear abnormalities (NA) were found in the following order: MN (liver cells) BN (liver cells) BN (gill cells) MN (gill cells) NA (erythrocytes) MN (erythrocytes) The results pointed towards the mutagenic nature of water quality of Tung Dhab drain and recommend the incorporation of the liver and gill cells as biomarkers of cytotoxicity over erythrocytes in chronic experiments during water monitoring programs.
Scanning electron microscopic observations of Basic Violet 1 induced changes in the gill morphology of Labeo rohita
Venue: Environmental Science and Pollution Research

Scanning electron microscopic observations were made for the changes in the surface ultra morphology of gill of Labeo rohita as indicators of the stress of lethal (0.1, 0.2, 0.4, 0.6, and 0.8 mg/L dye) and sublethal (0.0225, 0.045, and 0.09 mg/L dye) doses of Basic Violet 1 (CI: 42535, Trade name Methyl Violet 2B) Present study was taken up as insufficient data exist regarding safety of this dye. The dye was observed to be cytotoxic in nature during the short term (96 h) exposure to lethal doses and tumorogenic as well as cytotoxic during the long term (150 day) exposure to sublethal doses. The dye caused reduction or complete loss of microridges, proliferation of chloride cells, and degeneration of gill lamellae and rakers. The toxic effects became more pronounced with duration as 0.0225 mg/L dye caused remarkable distortion of the normal structure of gills after 150 days of exposure. Such changes may have become the underlying cause for 45 50 mortality of fish exposed to even sublethal doses of dye as the gills of fish perform a range of vital functions. In the present study, changes in ultra morphology were observed on the 50th day whereas mortality was noticed between 100 and 150 days of subchronic exposure. Therefore, time to time monitoring of ultra morphology of gill will provide us early indicators for the stress of very low levels of pollutants which may later cause mortality of the fish.
Student Involvement theory a way we might design for learning at York St John.

This session addresses Theme A: Engaging students in learning. It introduces the work of Alexander Astin, who offers Student Involvement as a developmental theory for HE (1999) Student engagement focuses on a correlation between improved learning and student motivation. Astin argues that motivation is concerned with feelings rather than behaviours; he argues for differentiating motivation from involvement. My own research interests include a fascination with the, slippery, concept of learning. I am drawn to the work of Etienne Wenger (1998: 225 229; original emphasis) who argues that learning moves on its own terms: It slips through the cracks; it creates its own cracks. Learning happens, design or no design..Learning cannot be designed, but it can be designed for that is facilitated or frustrated. The aim of this TLC is to prompt discussion around how we can design for learning at York St John University by developing our understanding of "connected learning" (Kinkead, 2003: 9) Astin's theory is one way we can do this.
Simplifying Software Defined Network Optimization Using SOL
Venue: NSDI

Realizing the benefits of SDN for many network management applications (e.g. traffic engineering, service chaining, topology reconfiguration) involves addressing complex optimizations that are central to these problems. Unfortunately, such optimization problems require (a) significant manual effort and expertise to express and (b) non trivial computation and/or carefully crafted heuristics to solve. Our goal is to simplify the deployment of SDN applications using general high level abstractions for capturing optimization requirements from which we can efficiently generate optimal solutions. To this end, we present SOL, a framework that demonstrates that it is possible to simultaneously achieve generality and efficiency. The insight underlying SOL is that many SDN applications can be recast within a unifying path based optimization abstraction. Using this, SOL can efficiently generate near optimal solutions and device configurations to implement them. We show that SOL provides comparable or better scalability than custom optimization solutions for diverse applications, allows a balancing of optimality and route churn per reconfiguration, and interfaces with modern SDN controllers.
A Decomposable Attention Model for Natural Language Inference
Venue: EMNLP

We propose a simple neural architecture for natural language inference. Our approach uses attention to decompose the problem into subproblems that can be solved separately, thus making it trivially parallelizable. On the Stanford Natural Language Inference (SNLI) dataset, we obtain state of the art results with almost an order of magnitude fewer parameters than previous work and without relying on any word order information. Adding intra sentence attention that takes a minimum amount of order into account yields further improvements.
Conformal mapping for multiple terminals
Venue: Scientific reports

Conformal mapping is an important mathematical tool that can be used to solve various physical and engineering problems in many fields, including electrostatics, fluid mechanics, classical mechanics, and transformation optics. It is an accurate and convenient way to solve problems involving two terminals. However, when faced with problems involving three or more terminals, which are more common in practical applications, existing conformal mapping methods apply assumptions or approximations. A general exact method does not exist for a structure with an arbitrary number of terminals. This study presents a conformal mapping method for multiple terminals. Through an accurate analysis of boundary conditions, additional terminals or boundaries are folded into the inner part of a mapped region. The method is applied to several typical situations, and the calculation process is described for two examples of an electrostatic actuator with three electrodes and of a light beam splitter with three ports. Compared with previously reported results, the solutions for the two examples based on our method are more precise and general. The proposed method is helpful in promoting the application of conformal mapping in analysis of practical problems.
Optimizing precipitation station location: a case study of the Jinsha River Basin
Venue: Int. J. Geogr. Inf. Sci.

Precipitation stations are important components of a hydrological monitoring network. Given their critical role in rainfall forecasting and flood warnings, along with limited observation resources, determining the optimal locations to deploy precipitation stations presents an important problem. In this paper, we use a maximal covering location problem to identify the best precipitation station sites. Considering the terrain conditions and the characteristics of a rainfall network, the original maximal covering location model is modified with the introduction of a set of additional constraints. The minimum density requirement is used to determine a precipitation station's coverage range, and three weighting schemes are used to evaluate each demand object's covering priority. As a typical mountainous watershed with high annual precipitation, the Jinsha River Basin is selected as the study area to test the applicability of the proposed method. Results show that the proposed method is effective for precipitation station configuration optimization, and the model solution achieves higher coverage than the real world deployment. Compared with the commercial solver CPLEX, a genetic algorithm based heuristic can significantly reduce the computation time when the problem size is large. Several deployment strategies are also discussed for establishing the optimal configuration of precipitation stations.
Exploring logistics related environmental sustainability in large retailers

The purpose of this paper is to explore and illustrate ways in which the world's largest retailers describe their logistics related environmental considerations, their environmental indicators applied to measure the effects of these considerations and their environmental consciousness in their CSR reports.  Classification models are developed via a literature review on logistics related environmental considerations, indicators and consciousness. A content analysis approach is then applied to examine CSR reports from 12 of the world's largest retailers.  Few retailers show environmental considerations in all logistics activities, but purchasing is especially well described. Even if many retailers claim to use the Global Reporting Initiative (GRI) framework, no one uses is completely. Judging consciousness from CSR reports raised a number of questions.  A contribution to theory is the development of two classification models.
Hybrid intrusion detection in connected self driving vehicles
Venue: 2016 22nd International Conference on Automation and Computing (ICAC)

Emerging self driving vehicles are vulnerable to different attacks due to the principle and the type of communication systems that are used in these vehicles. These vehicles are increasingly relying on external communication via vehicular ad hoc networks (VANETs) VANETs add new threats to self driving vehicles that contribute to substantial challenges in autonomous systems. These communication systems render self driving vehicles vulnerable to many types of malicious attacks, such as Sybil attacks, Denial of Service (DoS) black hole, grey hole and wormhole attacks. In this paper, we propose an intelligent security system designed to secure external communications for self driving and semi self driving cars. The proposed scheme is based on Proportional Overlapping Score (POS) to decrease the number of features found in the Kyoto benchmark dataset. The hybrid detection system relies on the Back Propagation neural networks (BP) to detect a common type of attack in VANETs: Denial of Service (DoS) The experimental results show that the proposed BP IDS is capable of identifying malicious vehicles in self driving and semi self driving vehicles.
An intelligent intrusion detection scheme for self driving vehicles based on magnetometer sensors
Venue: 2016 International Conference for Students on Applied Engineering (ICSAE)

Both safety and non safety applications require authentication of messages and vehicles in cooperative vehicular ad hoc networks. Access control can prevent external attackers from achieving their goal of breaking or hacking important information from road side units and self driving vehicles. However, internal attacks on vehicular systems and networks remain possible. A novel intelligent intrusion detection is proposed to secure the external communication system of self driving and semi self driving vehicles. This system is based on the Integrated Circuit Metric technology, which has the ability to protect systems using features of the system itself. The detection system, called the ICMetric IDS, is based on novel and unique features, which have been generated from bias values of magnetometer sensors as well as features which have been extracted from a trace file of simulated vehicle network traffic. Practical implementation and testing of the system demonstrate the efficiency in the detection of malicious behaviour.