nils-herrmann/clean_scirepeval huggingface dataset:
Corporate Social Responsibility and Business Ethics in Controversial Sectors: Analysis of Research Results
Year: 2018

Untl recently, in business practce, there was a belief that companies were operatng solely for the proft of their owners. Few companies have recognized the need to combine their actvites with ethics, and in partcular with their obligatons toward society or the environment. However, the percepton of ethical issues has changed radically in business over the last 20 years. If a company wants to be perceived as a reliable business partner and a respected member of the business sector, it should demonstrate a high level of insttutonalizaton of business ethics principles and practces, and it must practce outstanding ethical behavior. This is exceptonally true in some controversial industries. The purpose of our study is to identfy the scale and scope of the use of these principles and practces in two Central European countries, i.e. Poland and Hungary, in three controversial sectors of the economy, i.e. pharmaceutcal, tobacco and alcohol. The data were achieved on the basis of data gathered through survey methodology. The target subjects included a group of 48 companies (25 Hungarian and 23 Polish ones) Our survey mainly focused on the degree of insttutonalizaton of business ethics (such as the presence of a code of conduct, an employee appointed to deal with ethical issues, ethical training, and so on) the perceived ethical behavior of the frms, and their relatonship with their key stakeholders. Our study confrmed that business ethics is regarded as a signifcant factor which has an influence on business success and the corporate image of companies from the sectors in queston. However, it is necessary to emphasize that the scale of this phenomenon varies, across both sectors and countries. The level of insttutonalizaton is somewhat higher at Hungarian frms while preventng and handling corrupton cases are more at the forefront of Polish companies. Although it seems that stakeholders from Polish frms have greater ethical expectatons, we did not observe signifcant differences between perceived ethical behavior in the two countries. The originality of the paper is the result of the presentaton of unique qualitatve research related to business ethics in sensitve sectors of the economy in two Central European countries. To the best of our knowledge, such research is relatvely rare (due to the sensitve nature of the sectors analyzed) not only in these two countries but also on an internatonal scale.
Target templates: the precision of mental representations affects attentional guidance and decision making in visual search
Venue: Attention, perception psychophysics
Year: 2015

When people look for things in the environment, they use target templates mental representations of the objects they are attempting to locate to guide attention and to assess incoming visual input as potential targets. However, unlike laboratory participants, searchers in the real world rarely have perfect knowledge regarding the potential appearance of targets. In seven experiments, we examined how the precision of target templates affects the ability to conduct visual search. Specifically, we degraded template precision in two ways: 1) by contaminating searchers' templates with inaccurate features, and 2) by introducing extraneous features to the template that were unhelpful. We recorded eye movements to allow inferences regarding the relative extents to which attentional guidance and decision making are hindered by template imprecision. Our findings support a dual function theory of the target template and highlight the importance of examining template precision in visual search.
On the re institutionalization and diversification of Public Administration education in Central and Eastern Europe: A case study of post communist Romania
Year: 2020

The article provides a complementary view to those accounts of the growth of public administration education in post communist Central and Eastern Europe that (a) explain its development primarily as a reflection of changes in administrative cultures while (b) emphasizing the ongoing process of curricular diversification. Rather, the article shifts the focus on the internal dynamics of higher education. It shows that the development of Romanian public administration education can be attributed, to a considerable extent, to unique opportunities arising in a period of post communist re institutionalization, of which enterprising academics ably took advantage. It further argues that, curricular variety notwithstanding, public administration departments in this country may be growing more alike in other respects. In so doing, the article contributes to an expansion of the traditional narrative of the growth of public administration education in post communist Europe.
Enhanced Efficacy of Propranolol Therapy for Infantile Hemangiomas based on a Mesoporous Silica Nanoplatform through Mediating Autophagy Dysfunction.
Venue: Acta biomaterialia
Year: 2020

Infantile hemangioma is one of the most common vascular tumors, which might result in morbidity and mortality without timely intervention. Propranolol is currently the first line therapy for hemangiomas, but its potential side effects and high frequency of administration make it urgent to develop a suitable drug delivery system for propranolol. In the present study, we formulated a propranolol delivery system based on mesoporous silica nanoparticles (PRN@MSN) and investigated the interplay between autophagic activities mediated by nanoparticles and improved therapeutic efficacy of PRN@MSN. The results showed that PRN@MSN nanoparticles exhibited higher cytotoxicity compared with free propranolol in vitro and in vivo, which could induce excessive autophagosome accumulation through increased autophagosome formation and impaired autophagic degradation. Inhibition of autophagy in the early stage could attenuate the cytotoxicity of PRN@MSN. ROS generation was essential for nanoparticle mediated autophagy and cytotoxicity, and PRN@MSN induced autophagy dysfunction could enhance endoplasmic reticulum (ER) stress in hemangioma stem cells. Our study revealed a promising PRN delivery system based on a mesoporous silica nanoplatform that could induce autophagy dysfunction with excessive autophagosome accumulation to promote the therapeutic efficacy of PRN therapy. PRN@MSN drug delivery system combined with autophagy modulation may act as a promising treatment pattern in the treatment of hemangiomas.
Deep Visual Semantic Hashing for Cross Modal Retrieval
Venue: KDD
Year: 2016

Due to the storage and retrieval efficiency, hashing has been widely applied to approximate nearest neighbor search for large scale multimedia retrieval. Cross modal hashing, which enables efficient retrieval of images in response to text queries or vice versa, has received increasing attention recently. Most existing work on cross modal hashing does not capture the spatial dependency of images and temporal dynamics of text sentences for learning powerful feature representations and cross modal embeddings that mitigate the heterogeneity of different modalities. This paper presents a new Deep Visual Semantic Hashing (DVSH) model that generates compact hash codes of images and sentences in an end to end deep learning architecture, which capture the intrinsic cross modal correspondences between visual data and natural language. DVSH is a hybrid deep architecture that constitutes a visual semantic fusion network for learning joint embedding space of images and text sentences, and two modality specific hashing networks for learning hash functions to generate compact binary codes. Our architecture effectively unifies joint multimodal embedding and cross modal hashing, which is based on a novel combination of Convolutional Neural Networks over images, Recurrent Neural Networks over sentences, and a structured max margin objective that integrates all things together to enable learning of similarity preserving and high quality hash codes. Extensive empirical evidence shows that our DVSH approach yields state of the art results in cross modal retrieval experiments on image sentences datasets, i.e. standard IAPR TC 12 and large scale Microsoft COCO.
Emotion Analysis for Personality Inference from EEG Signals
Venue: IEEE Transactions on Affective Computing
Year: 2018

The stable relationship between personality and EEG ensures the feasibility of personality inference from brain activities. In this paper, we recognize an individual's personality traits by analyzing brain waves when he or she watches emotional materials. Thirty seven participants took part in this study and watched 7 standardized film clips that characterize real life emotional experiences and target seven discrete emotions. Features extracted from EEG signals and subjective ratings enter the SVM classifier as inputs to predict five dimensions of personality traits. Our model achieves better classification performance for Extraversion (81.08 percent) Agreeableness (86.11 percent) and Conscientiousness (80.56 percent) when positive emotions are elicited than negative ones, higher classification accuracies for Neuroticism (78.38 81.08 percent) when negative emotions, except disgust, are evoked than positive emotions, and the highest classification accuracy for Openness (83.78 percent) when a disgusting film clip is presented. Additionally, the introduction of features from subjective ratings increases not only classification accuracy in all five personality traits (ranging from 0.43 percent for Conscientiousness to 6.3 percent for Neuroticism) but also the discriminative power of the classification accuracies between five personality traits in each category of emotion. These results demonstrate the advantage of personality inference from EEG signals over state of the art explicit behavioral indicators in terms of classification accuracy.
CAN SCIENCE AND RELIGION RESPOND TO CLIMATE CHANGE
Year: 2015

With the challenge of communicating climate science in the United States and making progress in international negotiations on climate change there is a need for other approaches. The moral issues of ecological degradation and climate justice need to be integrated into social consciousness, political legislation, and climate treaties. Both science and religion can contribute to this integration with differentiated language but shared purpose. Recognizing the limits of both science and religion is critical to finding a way forward for addressing the critical challenges of climate change. How we value nature and human Earth relations is crucial to this. We need a broader environmental ethics in dialogue with the science of climate change.
The Beneficial or Harmful Effects of Computer Game Stress on Cognitive Functions of Players
Venue: Basic and clinical neuroscience
Year: 2018

Video games are common cultural issues with great influence in all societies. One of the important cognitive effects of video games is on creating stress on video players. The present research objective was to study different types of stress in players based on video game styles.  A total of 80 players, aged 18 to 30 years, played four types of video games; Runner game, Excitement game, Fear game, and Puzzle game. In the beginning, the players filled in the form of personal information as well as some general and specialized information on the games. Before starting each game, the saliva samples of the players were collected to measure their level of cortisol and a amylase. At the end of each game, the same samples were collected again. The concentrations of cortisol and a amylase were measured using a specialized kit and an ELISA device. In addition, the variations of brain waves were recorded by an Emotiv system. Finally, the data were analyzed in SPSS and Matlab system (after and before playing video game)  The research findings revealed that the salivary a amylase concentration increased significantly after playing the Fear game, Runner game, and Excitement game and decreased significantly after playing the Puzzle game. Moreover, the concentration of salivary cortisol increased significantly after playing the Runner game, Excitement game, and Fear game and decreased significantly after playing the Puzzle game. The brain wave analysis also revealed that the level of stress experienced by playing Fear game was higher than the Excitement game.  According to the research findings, video games can affect the stress system as well as the cognitive system of humans depending on the game style. In addition, the type and level of stress triggered in the players depend on the game style.
Extraction of video songs from movies using audio features
Venue: 2015 International Symposium on Advanced Computing and Communication (ISACC)
Year: 2015

A movie gathers different fractions like comedy scenes, action, dialogs and songs. Extraction of songs from movies is carried out in this paper with the help of special audio features which helps to distinguish between song and non song. The algorithm used here performs the operations of movie segmentation, intensity based classification and audio clues based improvements. Intensity based classifications leads to the promising song sequences which may include non song portions. Such false detections are eliminated using audio clues namely tempo and zero crossing rate. Movies of different genre like comedy, drama, action, thriller, romantic and suspense having different languages specifically Hindi, Marathi, Gujarati and English are taken here for measuring accuracy of this work.
Birkhoff von Neumann switch with deflection based load balancing
Venue: 2016 24th Telecommunications Forum (TELFOR)
Year: 2016

Load balanced Birkhoff von Neumann (BvN) switches are very popular due to low hardware complexity and high performance. But, for some traffic scenarios, the achieved throughput can be severely decreased. We propose a novel load balanced BvN based switch that is non blocking (achieves 100% throughput) for any admissible traffic scenario. The proposed switch implements only one switch stage because the deflection mechanism is used. The delay and buffer bounds are analyzed using the network calculus theory.
Android Application Based Bluetooth Controlled Robotic Car
Year: 2017

We are now living in the 21 st century. Now, smart phone has become the most essential thing in our daily life. Android application based smart phones are becoming each time more powerful and equipped with several accessories that are useful for Robots. This project describes how to control a robot using mobile through Bluetooth communication, some features about Bluetooth technology, components of the mobile and robot. We present a review of robots controlled by mobile phone via moving the robot upward, backward, left and right side by the android application such as Arduino, Bluetooth. Bluetooth has changed how people use digital device at home or office, and has transferred traditional wired digital devices into wireless devices. Here we are using Bluetooth communication, interface microcontroller and android application. We are using Arduino software to interface the Bluetooth module with microcontroller. According to commands received from android the robot motion can be controlled. We derived simple solutions to provide a framework for building robots with very low cost but with high computation and sensing capabilities provided by the smart phone that is used as a control device.
Biological Effects Induced by Specific Advanced Glycation End Products in the Reconstructed Skin Model of Aging
Venue: BioResearch open access
Year: 2015

Advanced glycation end products (AGEs) accumulate in the aging skin. To understand the biological effects of individual AGEs, skin reconstructed with collagen selectively enriched with Ne (carboxymethyl) lysine (CML) Ne (carboxyethyl) lysine (CEL) methylglyoxal hydroimidazolone (MG H1) or pentosidine was studied. Immunohistochemistry revealed increased expression of a6 integrin at the dermal epidermal junction by CEL and CML (p<0.01) Laminin 5 was diminished by CEL and MG H1 (p<0.05) Both CML and CEL induced a robust increase (p<0.01) in procollagen I. In the culture medium, IL 6, VEGF, and MMP1 secretion were significantly decreased (p<0.05) by MG H1. While both CEL and CML decreased MMP3, only CEL decreased IL 6 and TIMP1, while CML stimulated TIMP1 synthesis significantly (p<0.05) mRNA expression studies using qPCR in the epidermis layer showed that CEL increased type 7 collagen (COL7A1) b1, and a6 integrin, while CML increased only COL7A1 (p<0.05) MG H1 modified collagen had no effect. Importantly, in the dermis layer, MMP3 mRNA expression was increased by both CML and MG H1. CML also significantly increased the mRNAs of MMP1, TIMP1, keratinocyte growth factor (KGF) IL 6, and monocyte chemoattractant protein 1 (MCP1) (p<0.05) Mixed effects were present in CEL rich matrix. Minimally glycoxidized pentosidine rich collagen suppressed most mRNAs of the genes studied (p<0.05) and decreased VEGF and increased MCP1 protein expression. Taken together, this model of the aging skin suggests that a combination of AGEs tends to counterbalance and thus minimizes the detrimental biological effects of individual AGEs.
Respiratory muscle oxygenation is not impacted by hypoxia during repeated sprint exercise
Venue: Respiratory Physiology Neurobiology
Year: 2019

This study aimed to investigate whether exercise hyperpnoea contributes to an impairment of locomotor muscle oxygenation and performance during repeated sprint exercise in normoxia and hypoxia. Subjects performed ten 10 s sprints, separated by 30 s of passive rest while breathing either a normoxic (21% O2) or hypoxic (15% O2) gas mixture. Muscle oxygenation of the vastus lateralis and intercostal muscles was examined with near infrared spectroscopy. Sprint and recovery vastus lateralis deoxyhaemoglobin was elevated in hypoxia by 9.2% (90% confidence interval 0.2 to 18.0) and 14.1% (90% CL 4.9 to 23.3% compared to normoxia, respectively. There were no clear differences in respiratory muscle deoxyhaemoglobin 0.1% 90% CL 2.9 to 0.9% or oxyhaemoglobin (0.9% 90% CL 0.8 to 2.6% between conditions. Maintenance of respiratory muscle oxygenation may contribute to the rise of vastus lateralis deoxyhaemoglobin in hypoxia during intermittent sprint cycling. This manuscript presents data which extends the fact that oxygen competition could be a limiting factor of exercise capacity.
Automatic Identification and Classification of Software Development Video Tutorial Fragments
Venue: IEEE Transactions on Software Engineering
Year: 2019

Software development video tutorials have seen a steep increase in popularity in recent years. Their main advantage is that they thoroughly illustrate how certain technologies, programming languages, etc. are to be used. However, they come with a caveat: there is currently little support for searching and browsing their content. This makes it difficult to quickly find the useful parts in a longer video, as the only options are watching the entire video, leading to wasted time, or fast forwarding through it, leading to missed information. We present an approach to mine video tutorials found on the web and enable developers to query their contents as opposed to just their metadata. The video tutorials are processed and split into coherent fragments, such that only relevant fragments are returned in response to a query. Moreover, fragments are automatically classified according to their purpose, such as introducing theoretical concepts, explaining code implementation steps, or dealing with errors. This allows developers to set filters in their search to target a specific type of video fragment they are interested in. In addition, the video fragments in CodeTube are complemented with information from other sources, such as Stack Overflow discussions, giving more context and useful information for understanding the concepts.
Ophelia's Mother: The Phantom of Maternity in Shakespeare's Hamlet
Year: 2017

Shakespeare's Hamlet constructs one of the most troubling images of motherhood in literature: the character of Gertrude, a too present mother. Much critical attention has uncovered how Gertrude's characterization exposes patriarchal undercurrents embedded in the Western ideology of motherhood. This chapter, however, seeks to unearth the mirror, or double to Hamlet's mother, the mother of Ophelia, never mentioned, never referenced, and never invoked, yet made present through absence as her daughter's tragedy unfolds. Ophelia's interactions with Laertes, Polonius, Hamlet and Gertrude bring into sharp relief the specter of the mother not there. She is constructed as the deus ex machina that fails to appear; that could have offered protection, true guidance, wisdom, all that Ophelia needed to survive the violence and chaos around her. Like a mirror, Ophelia's mother functions as a similar yet antithetical image to Gertrude. 'Mother's reason' equated with nature's reason, is set against woman's appetite. The analysis is extended to larger considerations of how 'mother's wisdom' is imagined through the negated mother of Ophelia, through connections to other expressions of 'mother's reason' in Shakespeare's contemporaries, who characterize nature as embodied motherhood and yet absent. Ophelia's death implies her attempt to join an absent mother configured as nature. This interpretation is underscored by the graveyard scene, which questions whether Ophelia will return to her father in heaven, and challenges her receiving a Christian burial as a suicide. In the scene, her grave remains empty.
Dynamic Pseudo Label Decoding for Continuous Sign Language Recognition
Venue: 2019 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2019

Continuous sign language recognition is a weakly supervised problem to translate video sequence to sign gloss sequence, where temporal boundary of each sign gloss is not annotated. The CNN RNN CTC framework shows effectiveness in this task by estimating pseudo label for each clip and retraining the feature extractor alternately. The quality of pseudo labels greatly impacts the final performance. In contrast of existing methods which select labels of maximum posterior probability, we propose a dynamic pseudo label decoding method to find a reasonable alignment path via dynamic programming. Our approach filters out apparently wrong labels and generates pseudo labels which conform to natural word order of sign language. To further boost the performance after iterative optimization, we introduce a temporal ensemble module equipped with BGRU and 1D CNN to integrate features from different time scales. Experiments on two continuous sign language benchmarks with large vocabulary show the effectiveness of our proposed method.
The Transcription Factor EB Links Cellular Stress to the Immune Response
Venue: The Yale journal of biology and medicine
Year: 2017

The transcription factor EB (TFEB) is the master transcriptional regulator of autophagy and lysosome biogenesis. Recent advances have led to a paradigm shift in our understanding of lysosomes from a housekeeping cellular waste bin to a dynamically regulated pathway that is efficiently turned up or down based on cellular needs. TFEB coordinates the cellular response to nutrient deprivation and other forms of cell stress through the lysosome system, and regulates a myriad of cellular processes associated with this system including endocytosis, phagocytosis, autophagy, and lysosomal exocytosis. Autophagy and the endolysosomal system are critical to both the innate and adaptive arms of the immune system, with functions in effector cell priming and direct pathogen clearance. Recent studies have linked TFEB to the regulation of the immune response through the endolysosmal pathway and by direct transcriptional activation of immune related genes. In this review, we discuss the current understanding of TFEB's function and the molecular mechanisms behind TFEB activation. Finally, we discuss recent advances linking TFEB to the immune response that positions lysosomal signaling as a potential target for immune modulation.