nils-herrmann/clean_scirepeval huggingface dataset:
A review on: recognition of human emotions based on the ananlysis of EEG
Year: 2017

Emotions are the state of mind and behavioural inclusive term to individual, attentive practice biological reaction. Emotions are combining and express accordingly with mood, activity, temperature, nature and personality. In reasonable decision making and determined action em to deal with unplanned occasion in our background which helps to increase our chance of survival. Physiological signal composes vital signals in the human body. In particular to, to identify human e used widely these signals are collected from Electroencephalogram, Electrocardiogram, Electromyogram, Respiratory system, Electrodermal activities, Muscular system and Brain activity. The purpose of this study emotional state of a human body by using EEG signal, which recognize the human emotions. This study would provide a deep view on current state of the research and require on emotion recognition based on the analysis of EEG physio
Cost Index Model for the Process Performance Optimization of Micro EDM Drilling on Tungsten Carbide
Venue: Micromachines
Year: 2017

The present work deals with the execution of through micro holes on tungsten carbide plates using a micro electrical discharge machining (micro EDM) machine. The experiments were carried out by varying peak current, voltage and frequency in order to achieve suitable technology windows. Tubular electrodes, made of two different materials (tungsten carbide and brass) were used. The investigation focuses on the influence of variable process parameters on the process performances and their optimization. The performance indicators taken into account were Material Removal Rate (MRR) and Tool Wear Ratio (TWR) A general model based on a cost index was defined for the process performances optimization and the optimal conditions were identified through the minimization of the objective function.
Examining the perspectives and practices of high school science teachers on inclusive pedagogy
Year: 2019

This study examined the perspectives and practices of high school science teachers on inclusive pedagogy. The study also sought to elicit teachers' views on the challenges they encounter in the classroom. Previous studies on inclusion have focused on pre service teachers, elementary, and middle school teachers' attitudes and perceptions toward inclusion, leaving a gap on the perspectives of high school science teachers on inclusion and how they adopt inclusionary practices to make the science curriculum accessible to students. This study attempted to fill this gap by addressing three essential research questions: (a) what are high school science teachers' conceptions of inclusive pedagogy? (b) how do high school science teachers describe their instructional planning processes when designing lessons appropriate for the diversity in their classrooms? and (c) what specific inclusive pedagogical strategies do high school science teachers use to respond to the diverse learning needs of students? This study was carried out in the Avalon region of the English School District of Newfoundland and Labrador using a qualitative case study methodology. Data were gathered from four experienced high school science teachers who were sampled purposefully from three different high schools during the fall 2017 and winter 2018 semesters. To gain a more in depth insight into participants' perspectives of inclusion and their instructional practices, data were gathered using semi structured interviews, classroom observations, and document analysis. The data were then coded and analyzed qualitatively using MAXQDA software. Six overarching themes emerged from the study: (1) science teachers hold multiple conceptions about inclusion, (2) science teachers' perspectives and practices of inclusion are influenced by classroom experiences, (3) collaboration is essential when planning instructions for learners in inclusive settings, (4) several factors influence the science teachers' selection of instructional strategies, (5) science teachers implement multiple instructional strategies to represent information, engage students, and enable students to express their knowledge and what they have learned, and (6) science teachers encounter several barriers in creating inclusive classrooms. The recommendations in the final chapter of this qualitative case study may be a valuable source of information for addressing many of the concerns identified by the participants and provide avenues for future studies to enhance teacher education and teaching science to diverse learners in inclusive environments.
An Integrated Architecture for Multiagent Virtual Worlds for Performing Adaptive Testing Games
Venue: DMS
Year: 2012

One of the key success factors that contribute towards the creation and sustenance of online (2D and 3D) virtual worlds for learning might be to provide game style educational activities. However, there is no development platform available which can meet the inherent system requirements including usability of platform and scalability to modern massively multiplayer online games, yet focused on engaging learning for the individual user. Work has been done with software agents in the context of multiagent systems (MAS) and it makes sense to try to leverage that work when it comes to modeling functional modules, controlling realistic non player characters (NPCs) and Personal Assistants for Learning (PALs) in a virtual learning world. There are challenges to integrating a multi agent system into a virtual world including concerns with synchronization, communication, monitoring, efficiency, and control. This paper describes the design and implementation of an integrated architecture for performing and facilitating quiz games for adaptive testing with a multi agent system JADE/Jason and a 3D virtual world engine Open Wonderland.
The Impact of the Human Capacity Building on Small and Medium Enterprises in Lagos, Nigeria
Year: 2018

The major aim of this article is to examine the impact of the Human Capacity Building on Small and medium enterprises in Lagos, Nigeria. The study design was quantitative. Data was gathered from 139 respondents selected from entrepreneurs small and medium enterprises in Lagos. SPSS was used to analyze the data gathered. Findings from the study reveal that regulatory constraints, accessibility to credit and low marketing skills are the top three barriers to the SMEs owners business. Financial management, marketing and inadequate and inefficient management of employees are the major managerial problems. The SME owners adopt various training approaches like formal and informal training, on the job training and job specific training. The conclusion of the study includes the need for the government to organize more training for SMEs at affordable prices; establishment of skills acquisition centres.
Lower Palaeozoic Petroleum Systems of Western Iraq with Reference to Jordan*
Year: 2012

The Lower Palaeozoic of northwest Arabia is characterised by similar major chrono stratigraphic rock units, covering vast areas of eastern Jordan, northwest Saudi Arabia, eastern Syria and western Iraqi deserts. It is the most under explored succession in Iraq, but it is considered to have significant exploration potential. The Lower Silurian marine (hot) shale is the main proven source rock for the Palaeozoic hydrocarbons discovered in the area of study. However, some Upper Ordovician black shales (of the Khabour Formation of Iraq and its equivalent in Jordan) are also expected to be additional local source rocks within the region. Conversely, the Lower Ordovician Hiswah graptolitic shales of Jordan are originally lean, where analysed, and are not considered a major hydrocarbon source rocks. Similarly, preliminary geochemical results show that the Middle Cambrian Burj limestone does not have significant source potential in the marginal Jordanian wells, although it may have some potential where deposited in a more basinal settings such as in western Iraq. Several promising sandstone reservoir rocks (of Cambrian, Ordovician, and Early Silurian ages) are present across the study area. However, the reservoir quality is a major exploration risk as most of these sandstones have been severely affected by quartz overgrowth and clay cementation. Only some Upper Ordovician Dubaydib subsurface sandstones of Jordan have chlorite clay coatings, which prevented formation of the quartz overgrowth, preserving good reservoir quality. Seals are also available all over the region both on local and regional scales; these include (but are not limited to) the shales and carbonates mentioned above as potential source facies. The widespread occurrence of potential source, reservoir and seal rocks suggests that Lower Palaeozoic prospects below the deserts of western Iraq are quite promising frontiers for future hydrocarbon exploration.
Personality and Sexual Orientation: New Data and Meta analysis
Venue: Journal of sex research
Year: 2020

This research explored associations between personality and sexual orientation. In Study 1, we explored whether the Big Five trait dimensions relate to sexual orientation in a nationally representative sample of Australian adults (n 13,351) Personality differences were observed between those who identified as heterosexual (straight) bisexual, and homosexual (gay/lesbian) on all five measured traits. In Study 2, we conducted an updated systematic review and meta analysis of personality and sexual orientation. A total of 21 studies (35 independent samples, 262 effect sizes) comprising 377,951 men and women were identified that satisfied inclusion criteria. Results showed that bisexual individuals reported higher levels of openness than homosexual individuals, who in turn, reported higher levels of openness than heterosexual individuals. Bisexual individuals also report lower levels of conscientiousness than both heterosexual and homosexual individuals. Sex moderation effects showed that homosexual men scored higher than heterosexual men on neuroticism, agreeableness and conscientiousness, whereas homosexual women scored lower than heterosexual women on extraversion, agreeableness, and conscientiousness. There was also evidence that personality differences between sexual orientation categories tend to decline with age. These findings align with the gender shift hypothesis and should be of interest to theorists working in personality science and sexual identity development.
Outcomes of the Adelante community social marketing campaign for Latino youth.
Venue: Health education research
Year: 2019

The authors designed and evaluated an innovative, branded campaign called 'Adelante' to promote positive youth development (PYD) and reduce risk behaviors among Latino youth near Washington, DC. Repeated cross sectional surveys were conducted in the intervention and a comparison community to evaluate campaign exposure and changes in PYD outcomes. The sample consisted of 1549 Latino and immigrant adolescents surveyed at three time points in intervention and comparison communities. A social marketing campaign was implemented using outdoor advertising, Web, video and social media channels to promote PYD and health outcomes over a 1 year period from 2015 to 2016. Measures included media use; self reported exposure to campaign promotions; Adelante message receptivity; validated PYD scales; substance use, sexual risk taking, violence related knowledge, attitudes, beliefs, intentions and risk behavior. Outcomes were regressed first on campaign exposure to examine dose response effects of the Adelante campaign over time. Second, we compared outcomes between the Adelante and comparison communities. We observed a positive effect of self reported exposure on multiple outcomes, including improvements in pro violence and sexual risk outcomes and lower pro violence attitudes and lower risky attitudes toward sex. Adelante was effective in improving youth risk outcomes and offers a promising model for future health promotion with Latino and immigrant populations.
Image embodied Knowledge Representation Learning
Venue: IJCAI
Year: 2017

Entity images could provide significant visual information for knowledge representation learning. Most conventional methods learn knowledge representations merely from structured triples, ignoring rich visual information extracted from entity images. In this paper, we propose a novel Image embodied Knowledge Representation Learning model (IKRL) where knowledge representations are learned with both triple facts and images. More specifically, we first construct representations for all images of an entity with a neural image encoder. These image representations are then integrated into an aggregated image based representation via an attention based method. We evaluate our IKRL models on knowledge graph completion and triple classification. Experimental results demonstrate that our models outperform all baselines on both tasks, which indicates the significance of visual information for knowledge representations and the capability of our models in learning knowledge representations with images.
Is the renal kallikrein kinin system a factor that modulates calciuria?
Venue: Nefrologia publicacion oficial de la Sociedad Espanola Nefrologia
Year: 2017

Renal tubular calcium reabsorption is one of the principal factors that determine serum calcium concentration and calcium excretion. Calcium excretion is regulated by the distal convoluted tubule and connecting tubule, where the epithelial calcium channel TRPV5 can be found, which limits the rate of transcellular calcium transport. The dynamic presence of the TRPV5 channel on the surface of the tubular cell is mediated by an endosomal recycling process. Different intrarenal factors are involved in calcium channel fixation in the apical membrane, including the anti ageing hormone klotho and tissue kallikrein (TK) Both proteins are synthesised in the distal tubule and secreted in the tubular fluid. TK stimulates active calcium reabsorption through the bradykinin receptor B2 that compromises TRPV5 activation through the protein kinase C pathway. TK deficient mice show hypercalciuria of renal origin comparable to that seen in TRPV5 knockout mice. There is a polymorphism with loss of function of the human TK gene R53H (allele H) that causes a marked decrease in enzymatic activity. The presence of the allele H seems to be common at least in the Japanese population (24% These individuals have a tendency to greater calcium and sodium excretion in urine that is more evident during furosemide infusion. Future studies should analyse if manipulating the renal kallikrein kinin system can correct idiopathic hypercalciuria with drugs other than thiazide diuretics.
Generative Encoder Decoder Models for Task Oriented Spoken Dialog Systems with Chatting Capability
Venue: SIGDIAL Conference
Year: 2017

Generative encoder decoder models offer great promise in developing domain general dialog systems. However, they have mainly been applied to open domain conversations. This paper presents a practical and novel framework for building task oriented dialog systems based on encoder decoder models. This framework enables encoder decoder models to accomplish slot value independent decision making and interact with external databases. Moreover, this paper shows the flexibility of the proposed method by interleaving chatting capability with a slot filling system for better out of domain recovery. The models were trained on both real user data from a bus information system and human human chat data. Results show that the proposed framework achieves good performance in both offline evaluation metrics and in task success rate with human users.
ECG Heartbeat Arrhythmia Classification Using Time Series Augmented Signals and Deep Learning Approach
Year: 2020

Electrocardiogram (ECG) signals are the best way to monitor the functionality and health of the cardiovascular system and also identify ailments related to it. Abnormal heartbeats are reflected in the ECG pattern and such abnormal signals are called as Arrhythmias. Automated classification and identification of the ECG arrhythmia signal that provides faster and more accurate result is increasingly becoming the need of the moment. Various machine learning skills have been applied to advance the accuracy of results and increase the speed and robustness of the models. A lot of focus has been given to the architectures and datasets employed but preprocessing of the data being equally important. In this paper, a preprocessing technique that significantly improves the accuracy of the deep learning models used for ECG classification is proposed with a modified deep learning architecture that adds to the training stability. With this preprocessing technique and deep learning model, the system is able to attain accuracy levels of more than 99% without overfitting the model.
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search
Venue: ICIAP
Year: 2019

Designing neural networks for object recognition requires considerable architecture engineering. As a remedy, neuro evolutionary network architecture search, which automatically searches for optimal network architectures using evolutionary algorithms, has recently become very popular. Although very effective, evolutionary algorithms rely heavily on having a large population of individuals (i.e. network architectures) and is therefore memory expensive. In this work, we propose a Regularized Evolutionary Algorithm with low memory footprint to evolve a dynamic image classifier. In details, we introduce novel custom operators that regularize the evolutionary process of a micro population of 10 individuals. We conduct experiments on three different digits datasets (MNIST, USPS, SVHN) and show that our evolutionary method obtains competitive results with the current state of the art.
Broadband Doherty Power Amplifier With Transferable Continuous Mode
Venue: IEEE Access
Year: 2020

In this paper, in band continuous mode transferring (CMT) method is presented for designing broadband Doherty power amplifier (DPA) Specifically, transferable continuous mode, transferring between class J continuum to class F 1 continuum, is introduced into DPA at output back off (OBO) power level for improving bandwidth and efficiency. For validation, a broadband DPA with operation mode transferring from continuous class J to continuous class F 1 is designed, fabricated and measured. Experimental results show the drain efficiencies (DEs) of the fabricated DPA are 46.3% 57.7% and 58.4% 69.1% at 6 dB OBO and peaking power levels over 1.7 2.6 GHz. The saturation power of this DPA is 43.1 45.2 dBm with a gain of 9.1 11.2 dB in the interested band. Furthermore, when the fabricated DPA is stimulated by a 20 MHz wideband signal with a peak to average power ratio (PAPR) of 7.05 dB at 2.4 GHz, the measured average power is 36.5 dBm with an average DE of 45.7% and the measured adjacent channel leakage ratios (ACLRs) are 31.9 dBc and 50.4 dBc before and after DPD technique, respectively.
Optical Sensing (Nano)Materials Based on Benzimidazole Derivatives
Venue: Chemistry and Applications of Benzimidazole and its Derivatives
Year: 2019

Benzimidazole derivatives are well known biologically active substances, and therefore, they are mostly synthesised for therapeutic purposes. However, such heteroaromatic molecular systems own structure related properties that enable a variety of applications, especially in optical science. Multifunctionality of the benzimidazole unit, such as electron accepting ability, p bridging, chromogenic pH sensitivity/switching and metal ion chelating properties, makes it an exceptional structural candidate for the design of optical chemical sensors and functional materials. Development of smart molecular sensors and novel (nano)materials is the emerging trend observed in materials and optical sensing science in general, in which the benzimidazole molecular systems strongly contribute and participate. In this chapter, we summarised recent advances in optical sensing (nano)materials that incorporate the benzimidazole structural moiety. Solid state optical sensing systems, including self assembled molecular materials based on benzimidazoles, are reviewed and discussed. In addition, immobilisation of benzimidazole derivatives onto or into various substrates and matrices, such as organic and inorganic polymers, bulk membranes and nanoparticles, utilising different chemical and physical methods, is presented and analysed.
A Rectangular Microstrip Patch Antenna for Wireless Communications Operates in Dual Band
Year: 2016

A single layer substrate compact dual band rectangular micro strip patch antenna with transmission line feeding is designed for Wireless Local Area Networks (WLAN) implementation. The desired antenna consists of a rectangular patch having two I slots and a dielectric material with dielectric constant of 2.4. The use of cavity model with transmission line feed has the favor of low profile, high gain and wide bandwidth of the antenna. The antenna has overall size of 46.9 mm by 38.01 mm and gives bandwidth of about 90 MHz at resonance frequency of 2.45 GHz and that of 115 MHz at 4.1 GHz frequency with Defected Ground Structure (DGS) The antenna with DGS has return losses 21.25 dB at 2.45 GHz and 27.5 dB at 4.1 GHz where the gains are 6.70 dB for 2.45 GHz and 6.80 dB for 4.1 GHz. Finally the designed antenna has been simulated using Computer Simulation Technology (CST) microwave studio 2009 and it is comparable with manual computation results which are found to be suitable for WLAN applications.
The Emergence of Contention in Global Internet Governance
Year: 2015

Contention in global Internet governance systems has arisen in the context of a series of global Internet controversies that have made visible the connection between Internet governance and a number of public interest concerns such as infrastructure availability, security, and individual civil liberties such as freedom of expression and privacy. Throughout the course of only a few years, the world witnessed several high profile controversies including the state induced Egyptian Internet outage, WikiLeaks' release of sensitive diplomatic cables, complex cybersecurity attacks such as GhostNet and Stuxnet, the growing sophistication of the Great Firewall of China, an online boycott over the Stop Online Piracy Act in the U.S. global tension over an arcane United Nations international treaty conference known as the International Telecommunications Regulations (ITRs) and disclosures about the NSA's expansive surveillance programs.
Hydrogen Bonding Between Tetrahydrocannabinol and Vitamin E Acetate in Unvaped, Aerosolized, and Condensed Aerosol E Liquids.
Venue: Analytical chemistry
Year: 2020

Vitamin E acetate (VEA) has recently been identified as a potential chemical of concern in the investigation of e cigarette, or vaping, product use associated lung injury (EVALI) According to the Centers for Disease Control and Prevention (CDC) most patients report a history of using tetrahydrocannabinol (THC) containing e cigarette or vaping products; approximately 50% of the THC containing vaping products examined by the Food and Drug Administration (FDA) in this investigation have been found to contain VEA. This manuscript demonstrates that THC and VEA exist in the unvaped e liquids, vaped e liquids and the aerosol produced from vaporizing the mixture, as a hydrogen bonded THC:VEA complex linked by the THC hydroxyl and VEA carbonyl groups. Additional work should therefore be considered to investigate what happens to this complex in the lungs.