nils-herrmann/clean_scirepeval huggingface dataset:
Transmedia principles in impressionism spanning painting, music and literature
Venue: Neohelicon
Year: 2020

This article explores transmedia principles in impressionism spanning painting, music and literature. The introduction focuses on concepts with the suffix ism in scholarly communication (especially in literary theory and the general theory of art) Applying the concept of intermediality, it is possible to explore the intersection of all three above listed arts and to identify, name and systematize stable principles which universally characterize impressionism. Theoreticians of intermediality (I. Rajewsky, W. Wolf) characterize these principles as non media specific and migrating, indicating that a particular aesthetic may be applied in different arts. The principles identified in this paper (hic et nunc, transposition, three dimensionality and imagination, the two stage reception of impressionist works, equivalent principles in techniques for expressing colour and light, similar genres and themes, and a shared goal the optical integrity of the world) indicate that impressionism takes a unified noetic approach to reality, and thus these principles can be characterized as transmedia principles. Paradoxically, thanks to these principles, we are aware of the specificity of each of the arts as a distinctive system of signs. Parallel or equivalent structures can thus occur in different arts, accentuating either the visual aspect (painting) the auditive aspect (music) or a combination of both aspects (literature)
Conflict Detection of IoT_Services in Smart Home
Venue: ArXiv
Year: 2020

We propose a novel framework that detects conflicts in IoT based smart homes. Conflicts may arise during interactions between the resident and things in smart homes. We focus on single resident smart homes setting. We propose an ontology to model different types of contexts for IoT services. The ontology is used as a vehicle to accurately model and detect a variety of conflicts. We conduct a set of experiments on real dataset and synthesized dataset to validate the effectiveness of our proposed approach.
Systematic Software Testing of Critical Embedded Digital Devices in Nuclear Power Applications
Venue: 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)
Year: 2020

While design assurance and testing methods for safety critical systems have been widely researched and studied for years across a number of industry domains, there are few efforts reported in the literature on the actual application of software testing methods to nuclear power digital I&C systems or devices. We see this as a gap in the knowledge basis. The motivation for this research was to investigate the efficacy and challenges that arise when planning, automating and conducting systematic software testing on actual real time embedded digital devices. In this paper, we present results on the application of a systematic testing methodology called Pseudo Exhaustive testing. The systematic testing methods were applied at the unit and module integration levels of the software. The findings suggest that Pseudo Exhaustive testing supported by automated testing technology is an effective approach to testing real time embedded digital devices in critical nuclear applications.
Is there an uncanny valley of virtual animals? A quantitative and qualitative investigation
Venue: Int. J. Hum. Comput. Stud.
Year: 2018

Approaching a high degree of realism, android robots, and virtual humans may evoke uncomfortable feelings. Due to technologies that increase the realism of human replicas, this phenomenon, which is known as the uncanny valley has been frequently highlighted in recent years by researchers from various fields. Although virtual animals play an important role in video games and entertainment, the question whether there is also an uncanny valley for virtual animals has been little investigated. This paper examines whether very realistic virtual pets tend to cause a similar aversion as humanlike characters. We conducted two empirical studies using cat renderings to investigate the effects of realism, stylization, and facial expressions of virtual cats on human perception. Through qualitative feedback, we gained deeper insight into the perception of realistic computer generated animals. Our results indicate that depicting virtual animal like characters at realism levels used in current video games causes negative reactions just as the uncanny valley predicts for humanlike characters. We conclude design implication to avoid that sensation and suggest that virtual animals should either be given a completely natural or a stylized appearance. We propose to further examine the uncanny valley by the inclusion of artificial animals.
Iterative decoding of parallel and serial concatenated single parity check product codes
Year: 2006

An efficient, iterative soft in soft out decoding scheme is employed for the parallel and serially concatenated single parity check (SPC) product codes, which has very low complexity, requiring only two addition equivalent operations per information bit. For a rate 0.8637 of parallel concatenated SPC product code, a performance of BER=10/sup 5/ at E/sub b//N/sub 0/=3.66 dB can be achieved using this decoding scheme, which is within 1 dB from the Shannon limit.
Impact of a Mental Illness Stigma Awareness Intervention on Pharmacy Student Attitudes and Knowledge
Venue: American Journal of Pharmaceutical Education
Year: 2016

To determine if exposure to an intervention course impacts pharmacy students' mental health stigma (MHS) and mental health knowledge (MHK) Methods. A one group pre/posttest intervention study of third year pharmacy students (N=120) was conducted. Dependent variables were subdomains of MHS (recovery, safety, disclosure, separation, comfort) which were measured on a 5 point Likert scale (1=strongly disagree; 5=strongly agree) Mental health knowledge was measured with 10 true/false questions. The 2.5 hour intervention included presentations, videos, discussions, and active learning exercises. Pre/posttests were administered, and data were analyzed using paired t tests and McNemar's tests.  Among responding students (n=88; 73.3% response rate) the following stigma subdomains significantly decreased after the intervention for depression and schizophrenia: recovery, safety, separation, and comfort. Mental health knowledge scores significantly increased from 5.9 (1.5) to 6.8 (1.5)  Pharmacy students' MHS and MHK related to depression and schizophrenia can be improved through a brief and interactive anti stigma intervention.
In vivo and in vitro skin absorption of lipophilic compounds, dibutyl phthalate, farnesol and geraniol in the hairless guinea pig.
Venue: Food and chemical toxicology an international journal published for the British Industrial Biological Research Association
Year: 2010

The relationship between in vitro and in vivo skin absorption of lipophilic cosmetic ingredients (dibutyl phthalate (DBP, Log K(ow) 4.45) farnesol (Log K(ow) 5.77) and geraniol (Log K(ow) 3.56) from an oil in water emulsion was investigated in the hairless guinea pig. In vivo absorption of DBP, farnesol and geraniol 24h after dermal application was 62.0+ 2.0, 39.8+ 2.5, and 15.1+ 1.8% of the applied dose %AD) respectively. In vitro absorption was measured at 24 and 72 h by using flow through diffusion cells (0.64 cm(2) with a receptor fluid consisting of HHBSS+4% BSA. In vitro studies of DBP, farnesol and geraniol absorption over 24h found 27.1+ 1.9, 43.5+ 3.3 and 45.9+ 3.2%AD in receptor fluid, respectively, and over 72 h found 59.9+ 3.2, 77.5+ 7.1 and 49.0+ 6.3%AD, respectively. We found that the amount of DBP absorbed in vivo after 24h closely agreed with the amount of DBP found in the receptor fluid in vitro after 72 h. In contrast, the amount of topically applied farnesol absorbed in vivo after 24h was similar to the amount of farnesol found in receptor fluid in vitro after 24h. A direct comparison between the in vivo absorption of geraniol and the in vitro absorption at 24 and 72 h was not meaningful due to the rapid evaporation of geraniol from the skin. Our in vitro results suggest that lipophilic chemicals initially form a reservoir in skin, and the material in the reservoir may ultimately diffuse out of the skin into the receptor fluid within 72 h. Our results also demonstrate the utility of in vivo studies for resolving questions about the fate of lipophilic chemicals remaining in skin after in vitro absorption studies.
In embedded systems image classification with convolutional Neural Network
Venue: 2018 26th Signal Processing and Communications Applications Conference (SIU)
Year: 2018

Deep Neural Network is successfully applied for image classification problems. The understanding of what object is detected in the image is great interested. The prupose of this article is that image classification problem could be applied in real time systems. In this article we propose a CNN architecture for Cifar 10 dataset. This article is shown that with 2GB memory real time system achieves %85.8 accuracy for image classification.
Narrative, Ontological Security, and Foreign Policy Change
Year: 2015

While the recent IR "narrative turn" has greatly improved our understanding of how narratives influence state policy choices, we need to deepen our understanding of how narratives explain policy change. If state "autobiographies" provide such powerful explanations of why states do what they do, how can they change their policies and practices? To understand the relationship between policy change and state narrative continuity, I build on existing scholarship on narrative analysis and ontological security to examine ways in which state autobiographical narratives are used by political actors to confront state insecurities. My principal argument is that at times of great crises and threats to multiple state securities (physical, social, and ontological) narratives are selectively activated to provide a cognitive bridge between policy change that resolves the physical security challenge, while also preserving state ontological security through offering autobiographical continuity, a sense of routine, familiarity, and calm. I illustrate the argument with an analysis of Serbia's changing foreign policy behavior regarding the disputed status of Kosovo.
Strained Marriage Relationships in Ibsen's A Doll's House and Lawrence's Sons and Lovers: A Critical Analysis
Year: 2020

Strained marriage is a traumatic experience which is influenced by complex social, financial, cultural and psychological factors. For this study two European literary couples Nora Helmer and Gertrude Mr. Morel from Henrik Ibsen's A Doll's House and D.H. Lawrence's Sons and Lovers are taken and their problems get visible for real life couples to see. This paper is mainly related to the fact that many issues regarding strained marriage are still underresearched. This study attempts to go into the depth of this global issue by providing information through critical textual analysis. In nature, it is an explanatory as well as exploratory research. A qualitative approach will be employed to know about the causes of strained marriage relationship and its consequences on the couples and families.
The development of auditor independence dimensions: Nigerian stakeholders' perspective
Year: 2015

Past studies on auditor independence (AI) generally focused on factors influencing AI by examining individual or group of factors posited to impact AI using various proxies of AI. Since regulatory frameworks define AI along two dimensions (fact and appearance) the use of proxies such as non audit fees ratio, audit to total fees ratio or client importance is insufficient, because of their inability to capture both dimensions of AI. The study investigated the concept of AI and developed a measure for AI based on Nigerian stakeholders' perceptions. The first phase investigated the constituents of AI and how they interdependently measure AI. Data was collected from 233 stakeholders comprising practising accountants, bank loan officers, members of the corporate governance body, Financial Reporting Council officers, officers of the Federal Inland Revenue Service and shareholders, using disproportionate stratified sampling. Results from exploratory and confirmatory factor analysis showed that the AI measure consisted of nine constructs (perceived objectivity, perceived integrity, perceived professional skepticism, self interest threat avoidance, selfreview threat avoidance, familiarity threat avoidance, intimidation threat avoidance, advocacy threat avoidance and safeguards implementation) The second phase examined the applicability of the measure among financial directors of listed companies. Data collected from 62 financial directors of listed companies in Lagos was analyzed using Partial Least Squares Structural Equation Modelling. Results showed that the measure was valid, reliable and applicable in Nigeria. The study contributes to by proposing and operationalizing a holistic measure for AI. It also confirms the existence of a hierarchical model explaining AI in terms of its two dimensions. (Indpendence in fact and appearance) as measured by nine constructs. The study contributes theoretically, methodologically and practically to the body of knowledge and has implications to regulators, auditors and other researchers. It will benefit regulatory and professional bodies in assessing and structuring auditor independence standards, provides an assessment tool for auditors and an avenue for further research for academics.
Guidelines for improving task based natural language understanding in human robot rescue teams
Venue: 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
Year: 2017

Mixed human robot teams are increasingly considered for accomplishing complex mission due to their complementary capabilities. A major barrier for deploying such heterogeneous teams in real world settings, is the current lack of natural skills in robotic team members, such as the understanding and interpretation of natural language instructions that include referential descriptions of entities in the world. In this paper we report the results of an empirical study in which humans tend to use referring expressions. We show how the received results and ideas can be used as guidelines to improve dialogue systems. By integrating and extending our system with these results, we will show how complex natural language instructions can be easily translated by robotic systems.
Impacts of conservation tillage on soil quality, including soil borne crop diseases, with a focus on semi arid grain cropping systems
Venue: Australasian Plant Pathology
Year: 2013

Conservation tillage is a system of management that leaves at least 30 of the soil surface covered by residue between crop harvests and planting, and may be combined with appropriate crop rotations to improve soil fertility and disease/weed management. This review examines the effect of conservation tillage on soil biological, chemical, and physical properties and how these interact to affect crop production. Improvements in physical attributes are widely observed under conservation tillage, and these improvements often lead to increased rates of water infiltration and storage. Increases in bulk density in the absence of cultivation, however, may lead to decreases in soil aeration. Conservation tillage may also lead to many soil chemical changes. Decreases in soil pH, changes to cation exchange capacity, and alterations to nutrient availability have all been observed. Changes to biological processes are generally characterised by increases in soil organic carbon (SOC) at or near the surface of the soil profile, along with subsequent increases in soil microbial biomass and diversity. However, the presence of plant diseases and weeds may also increase under conservation tillage management. In semi arid environments, the increases in soil water storage afforded by conservation tillage often lead to increased yield, especially in dry years. However, where crop disease and weed growth, a lack of plant available nutrients, and/or adverse soil structure limit plant development, lower yields may also be observed. Holistic systems that incorporate appropriate crop rotations, fertiliser and weed management are required to help control the negative aspects of conservation tillage, and ensure that improvements in soil quality lead to increases in crop production.
Nutraceutical properties of extra virgin olive oil: a natural remedy for age related disease?
Venue: Rejuvenation research
Year: 2014

The health benefits of the Mediterranean diet can be largely ascribed to the nutraceutical properties of extra virgin olive oil (EVOO) Mono unsaturated fatty acids and various phenolic compounds, such as oleocanthal, oleuropein, hydroxytyrosol, and tyrosol, are the main nutraceutical substances of EVOO. These substances have been suggested to have the ability to modulate aging associated processes. In experimental models, it has been shown that EVOO with high concentrations of polyphenols has anti inflammatory and anti oxidant properties. Indeed, it was observed that hydroxytyrosol and oleocanthal inhibit the cyclooxygenases (COX 1 and 2) responsible for prostaglandin production; oleuropein is a radical scavenger that blocks the oxidation of low density lipoproteins. Due to the relevance of olive oil in the economy of Sicily, our group has been funded to assess the nutraceutical properties of different kinds of olive oil. Indeed, the aim of the study is to evaluate effects of EVOOs, with low and high polyphenols content, on immuno inflammatory and oxidative stress responses in young and old people. A further objective of our group is to evaluate effects of EVOO, with low and high polyphenol content, on the expression of genes encoding proteins that take part in the insulin/insulin like growth factor 1 signaling pathway involved in longevity. The results of the study will be useful for producing olive oil enriched in nutraceutical properties that may be likely helpful in the prevention of age related diseases.
Leadership Coaching and the Rescuer Syndrome: How to Manage Both Sides of the Couch
Year: 2010

In this article I explore the problem of excessive helping behavior The Rescuer Syndrome with particular reference to executive coaching. I also discuss co dependency between coach and client and question whether these 'rescuers, in their need to help, really help their clients. Do the rescuers themselves need to be rescued? I examine the origins of compulsive helping behavior, including rescuers' early family dynamics. The indicators of this dysfunctional behavior pattern will be explored, including strategies for dealing with the Rescuer Syndrome. I end with a description of the constructive rescuer, explaining how a better understanding of this specific behavior pattern can contribute to greater awareness of the intensity of the rescuer within. The expectation is that this kind of knowledge will increase coaching effectiveness.
Fourier uniformity of bounded multiplicative functions in short intervals on average
Venue: Inventiones mathematicae
Year: 2019

Let \lambda l denote the Liouville function. We show that as $X \rightarrow \infty X \begin{aligned} \int _{X}{2X} \sup _{\alpha \left| \sum _{x n \le x H} \lambda (n) e( \alpha n) \right| dx o X H) \end{aligned} X 2 X sup a x n x H l n e a n d x o X H for all $H \ge X^\theta H X th with \theta 0$ th 0 fixed but arbitrarily small. Previously, this was only known for \theta 5/8$ th 5 8 For smaller values of \theta th this is the first "non trivial" case of local Fourier uniformity on average at this scale. We also obtain the analogous statement for (non pretentious) 1 bounded multiplicative functions. We illustrate the strength of the result by obtaining cancellations in the sum of \lambda (n) \Lambda (n h) \Lambda (n 2h) l n L n h L n 2 h over the ranges $h X^\theta h X th and $n X$ n X and where \Lambda L is the von Mangoldt function.
Numerical modeling of highly sensitive resonant detection of THz radiation using a multichannel dispersive plasmonic HEMT
Year: 2021

The resonant detection of terahertz radiation using a dispersive AlN/GaN multichannel high electron mobility transistor (HEMT) is analyzed and modeled in this paper. The proposed full wave model is based on the concurrent solution of the complete hydrodynamic model (CHM) and Maxwell's equations. The CHM is derived from the first three moments of the Boltzmann transport equation (BTE) Considering the variations of the electron temperature and transport parameters along the HEMT channel, this model well characterizes the electron wave interaction in the device for both low and high field conditions. Moreover, the effect of the optical phonon modes of the GaN buffer, which cannot be ignored in the target terahertz frequency band, is described using the Lorentz dispersive model. Employing the developed model, the transmission spectrum of the device is extracted numerically using the finite difference time domain (FDTD) method for grating gate single double and three channel HEMT structures. The results show that, at a lattice temperature of 300 K for a GaN grating gate HEMT with gate periodicity of 680 nm and gate width of 520 nm, at given resonance frequency and overall electron concentration, the resonance depth improves by about 2.7 dB in the three compared with the single channel structure. Moreover, it is shown that the detection performance of such a structure at 300 K is similar to the single channel HEMT at a reduced temperature of 120 K. Therefore, the multichannel HEMTs can show notably improved resonant detection performance, enabling the design of resonant detectors with enhanced sensitivity at room temperature.
3D coordinate extraction from single 2D indoor image
Venue: 2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)
Year: 2015

Indoor buildings as part of man made contains many information of linier perspective. Human has great tendency to build rooms with plane between wall to wall, and wall to floor to be perpendicular each other. This condition gives many advantages so we can use those information to reconstruct 2D imaged room back into 3D space. This paper is aimed to automatically extract and reconstruct room into 3D space from single 2D image only. Our method is begin by localizing ground segment from image, then followed by determining which border of ground should be assumed as wall. Once ground and wall border is identified, we calculate corresponding 3D coordinate of ground and wall using homography and cross ratio. The result of proposed algorithm shows its ability to extract and reconstruct 3D rooms based only on single 2D Image.