nils-herrmann/clean_scirepeval huggingface dataset:
The influence of perceived stress on work family conflict and mental health: the moderating effect of person environment fit.
Venue: Journal of nursing management
Year: 2014

This study examines whether higher perceived stress among female hospital workers can result in more serious work family conflict (WFC) and poorer mental health, and also identifies the role that person environment (P E) fit plays in moderating these relationships.  Female hospital workers with higher perceived stress tend to report greater WFC and worse mental health than others with less perceived stress. A better fit between a person and her environment may lead to lower perceived stress. As a result, she may experience less WFC and better mental health.  This study adopts a longitudinal design with 273 participants, all of whom are employed by hospitals in Taiwan. All hypotheses are tested using hierarchical regression analyses.  The results show that perceived stress is an effective predictor of WFC and mental health status, whereas the P E fit can moderate these relationships.  Hospitals should pay more attention to the negative effects of perceived high stress on the WFC levels and mental health of their female employees. The P E fit can buffer effectively the impact of perceived stress on both WFC and mental health.  If hospitals can adopt appropriate human resource management practices as well as monitor and manage the P E fit continuously, they can better help their employees to fit into the overall hospital environment.
Anti Schistosoma mansoni effects of essential oils and their components.
Venue: Phytotherapy research PTR
Year: 2020

Schistosoma mansoni is endemic in 55 countries around the world. S. mansoni is a water borne parasite of humans belonging to the group of blood flukes. Generally, schistosomiasis is treated with praziquantel, which results in frequent treatment failures and reinfections. Essential oils have diverse biological effects, including antimicrobial, antiprotozoal and antiparasitic. This review aimed at summarizing available in vitro, in vivo and clinical trials showing evidence and mechanisms of actions of essential oils and their derivatives acting against S. mansoni. The findings suggest that a number of essential oils and/or their components act against S. mansoni. Essential oils and/or their derivatives may be one of the potential sources of antischistosomal drugs.
A Novel Graph based Multi modal Fusion Encoder for Neural Machine Translation
Venue: ACL
Year: 2020

Multi modal neural machine translation (NMT) aims to translate source sentences into a target language paired with images. However, dominant multi modal NMT models do not fully exploit fine grained semantic correspondences between semantic units of different modalities, which have potential to refine multi modal representation learning. To deal with this issue, in this paper, we propose a novel graph based multi modal fusion encoder for NMT. Specifically, we first represent the input sentence and image using a unified multi modal graph, which captures various semantic relationships between multi modal semantic units (words and visual objects) We then stack multiple graph based multi modal fusion layers that iteratively perform semantic interactions to learn node representations. Finally, these representations provide an attention based context vector for the decoder. We evaluate our proposed encoder on the Multi30K datasets. Experimental results and in depth analysis show the superiority of our multi modal NMT model.
Structure guided mutational analysis of a yeast DEAD box protein involved in mitochondrial RNA splicing.
Venue: Journal of molecular biology
Year: 2010

DEAD box proteins are RNA dependent ATPase enzymes that have been implicated in nearly all aspects of RNA metabolism. Since many of these enzymes have been shown to possess common biochemical properties in vitro, including the ability to bind and hydrolyze ATP, to bind nucleic acid, and to promote helix unwinding, DEAD box proteins are generally thought to modulate RNA structure in vivo. However, the extent to which these enzymatic properties are important for the in vivo functions of DEAD box proteins remains unclear. To evaluate how these properties influence DEAD box protein native function, we probed the importance of several highly conserved residues in the yeast DEAD box protein Mss116p, which is required for the splicing of all mitochondrial catalytic introns in Saccharomyces cerevisiae. Using an MSS116 deletion strain, we have expressed plasmid borne variants of MSS116 containing substitutions in residues predicted to be important for extensive networks of interactions required for ATP hydrolysis and helix unwinding. We have analyzed the importance of these residues to the splicing functions of Mss116p in vivo and compared these results with the biochemical properties of recombinant proteins determined here and in previously published work. We observed that the efficiency by which an Mss116p variant catalyzes ATP hydrolysis correlates with facilitating mitochondrial splicing, while efficient helix unwinding appears to be insufficient for splicing. In addition, we show that each splicing defective variant affects the splicing of structurally diverse introns to the same degree. Together, these observations suggest that the efficiency by which Mss116p catalyzes the hydrolysis of ATP is critical for all of its splicing functions in vivo. Given that ATP hydrolysis stimulates the recycling of DEAD box proteins, these observations support a model in which enzyme turnover is a crucial factor in Mss116p splicing function. These results are discussed in the context of current models of Mss116p facilitated splicing.
A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process
Year: 2018

The present work is an attempt to produce squeeze cast component with excellent wear resistance property. The material wear rate in squeeze casting depends on appropriate selection of pressure duration, squeeze pressure, die temperature and pouring temperature. Experiments are conducted and data is collected as per central composite and box behnken design approaches. The input output relationship developed by utilizing central composite design is found to be statistically adequate and yielded better prediction accuracy. Recurrent and back propagation neural networks are trained by using data generated from best response model. The huge training data in batch mode helps to capture fully the dynamics of squeeze casting process. The recurrent neural network outperformed both, the back propagation neural network and central composite design. Genetic algorithm, desirability function approach, and particle swarm optimization are used to determine best set of squeeze casting conditions that locate the extreme values and will result in minimum wear rate. Particle swarm optimization and genetic algorithm outperformed desirability function approach, as the former carried out search in many directions at multi dimensional space, simultaneously. The results of non linear regression, neural network based models, the performance of different optimization techniques are compared and some concluding remarks are made.
Modified Approach for Classifying Multi Dimensional Data Cube Through Association Rule Mining for Granting Loans in Bank
Year: 2016

In this paper, modified Approach for classifying Multi dimensional data cube is constructed. It explores data cubes in large Multi Dimensional Schema. Numerical and Nominal attributes are categorized based on Principal Component Analysis. Semantic relationships are identified by applying Multidimensional scaling. Additionally, AR is integrated for finding the inserting measures. Many algorithms have been proposed for applying Multi dimensional schema. But still some difficulties to category wise the integrated rules. The proposed approach suggested a new idea for categorizing the rules by using bank loan detect. This method provides accurate prediction and consumes less time than existing method.  Association Rules, Datacubes, Data Mining, Multidimensional Schema,
WITHDRAWN: Towards efficient and reliable federated learning using Blockchain for autonomous vehicles
Year: 2020

Federated learning (FL) has emerged as a robust privacy aware decentralized computing approach for personalized data in a network of nodes. It has the potential to be the boon for future autonomous vehicles. FL can significantly improve performance while ensuring privacy preservation for all vehicles. It can exploit distributed set of training data while maintaining robust local learning within each vehicle. However, standard FL incurs long communication delays and risk of failures due to a single global server used for aggregating local learning. Any unreliable model can be uploaded by an adversary vehicle (if any) leads to deception in the learning of the whole FL system. Some fraud vehicles may often perform unreliable updates intentionally, e.g. the data poisoning attack, or unintentionally, e.g. low quality data caused by energy constraints or high speed 5G mobility. Therefore, investigation of efficient and trustworthy FL for autonomous vehicles becomes critical and is a challenging task. Therefore, we design a lightweight multilevel Blockchain framework for improving the end to end trustworthiness of the FL system of Internet of Vehicles (IoV) At the heart of the solution is the integration of trustworthiness and reputation modules, which not only learns and jointly evaluates the trustworthiness of vehicle's observations during data collection but also adapts prompt block verification at the Blockchain level.
Anon ISAC: Anonymity preserving cyber threat information sharing platform based on permissioned Blockchain
Venue: 2020 28th Iranian Conference on Electrical Engineering (ICEE)
Year: 2020

In cyber threat information sharing, secure transfer and protecting privacy are very important. In this paper we solve these issues by suggesting a platform based on private permissioned Blockchain, which provides us with access control as well. The platform is called Anon ISAC and is built on the Enhanced Privacy ID (EPID) zero knowledge proof scheme. It makes use of permissioned Blockchain as a way to keep identity anonymous. Organizations can share their information on incidents or other artifacts among trusted parties, while they keep their identity hidden. This will save them from unwanted consequences of exposure of sensitive security information.
General Opial type inequality
Year: 2015

In this paper our goal is to give a general Opial type inequality. We consider two functions, convex and concave and prove a new general inequality on a measure space (O,S,m) The obtained inequalities are not direct generalizations of the Opial inequality but are of Opial type because the integrals contain a function and its integral representation. We apply our result to numerous symmetric functions and obtain new results that involve Green's functions, Lidstone series and the Hermite's interpolating polynomials.
Quantum relational Hoare logic
Venue: Proc. ACM Program. Lang.
Year: 2019

We present a logic for reasoning about pairs of interactive quantum programs quantum relational Hoare logic (qRHL) This logic follows the spirit of probabilistic relational Hoare logic (Barthe et al. 2009) and allows us to formulate how the outputs of two quantum programs relate given the relationship of their inputs. Probabilistic RHL was used extensively for computer verified security proofs of classical cryptographic protocols. Since pRHL is not suitable for analyzing quantum cryptography, we present qRHL as a replacement, suitable for the security analysis of post quantum cryptography and quantum protocols. The design of qRHL poses some challenges unique to the quantum setting, e.g. the definition of equality on quantum registers. Finally, we implemented a tool for verifying proofs in qRHL and developed several example security proofs in it.
The impact of Shukko (employee transfers) within group companies on the capability and speed of promotion of engineers
Venue: 2013 IEEE International Conference on Industrial Engineering and Engineering Management
Year: 2013

This study examined the impact of Shukko (employee transfer) experience of research and development (R&D) engineers in a Japanese automotive manufacturing group on their capability improvement and speed of promotion. It found that internal/external capabilities improve with the length of the service, and that internal/external capabilities improve with Shukko (employee transfer) experience and that Shukko and external capability do not have a significantly positive impact on the speed of promotion, and instead the level of internal capability is necessary for the speed of promotion.
Introduction of International Accounting Standards, Disclosure Quality and Accuracy of Analysts' Earnings Forecasts
Year: 2010

We examine whether the introduction of international accounting standards by German companies has improved the accuracy of analysts' forecasts, and what role changes in the quality of disclosures have played in this process. We develop a structural equation model that allows us to separate the effects of changes in disclosure quality from other effects of the introduction of international accounting standards on forecast errors. Our sample comprises 1,908 firm years covering the period from 1997 to 2005. We measure disclosure quality with data from a yearly annual report competition. We find that the introduction of international accounting standards has been associated with a significant improvement in forecast accuracy. Increases in the quality of companies' disclosures appear to have contributed to this improvement. However, the disclosure effect, while significant, explains only a small portion of the overall improvement in forecast accuracy. Further analyses show that differences in disclosure quality are more relevant for German GAAP companies than for IFRS/US GAAP companies. Moreover, only the quality of notes to companies' financial statements appears to matter to analysts; the quality of management reports appears to make no difference. Our results are robust to a variety of tests concerning the sample composition, the operationalisation of variables and the estimation procedure.
Provenance description of metadata application profiles for long term maintenance of metadata schemas
Venue: J. Documentation
Year: 2018

Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP PROV to keep track of structural changes of metadata schemas.  The DSP PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP PROV and semi formal change log description in English.  Formal provenance description in the DSP PROV model has advantages over semi formal provenance description in English to keep metadata schemas consistent over time.  The DSP PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered.  This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi formal provenance description.
Liftoff: When Strong Growth is Predicted by Angels and Fuelled by Professional Venture Funds
Year: 2012

The present research links business angels' cognitive and behavioral features and co investment practice with professional venture funds in explaining differential rates of growth. Using a questionnaire survey we were able to gather a unique dataset concerning the characteristics, investment practice and growth performance of a sample of 124 business angels having made a total of 222 investments in the south eastern region of France surrounding Grenoble. Our contribution to the literature is twofold: first, this study is the first systematic exploration of the practice of business angels in the French market for entrepreneurial finance, and thus extends our knowledge of angel investing beyond the limits of North America and the United Kingdom. Second, we make a contribution to a better understanding of the determinants of growth in ventures funded by business angels. Strong growth rates are significantly supported when business angels and professional venture capitalists co invest simultaneously due to a certain cognitive closeness.
Conceptualising the Australian Telecommunications Industry Self Regulation Scheme in the Context of Australian Judicial System and Administrative Justice
Year: 2016

The public ombudsman plays an irreplaceable role as an important redress mechanism for individual grievances and as a "watch dog" to administrative justice. Since the 1980s, private sector ombudsmen have emerged and proliferated. This rapid development has resulted in some significant controversies. Unfortunately, many of these controversies have not been sufficiently addressed to date. By analysing the Telecommunications Industry Ombudsmen (TIO) as a case study, this article seeks to examine the nature of the private sector ombudsmen and its changing position in relation to administrative justice. Here, the key claim is that the TIO is substituting courts with respect to consumer matters rising from its service sector. Stemming from this claim, this article further argues that the current TIO scheme presents an inappropriate and unreliable situation where the private sector ombudsmen may provide differing rights and remedies from those available in the Courts. Furthermore, consistency in decision making by private sector ombudsmen can be problematic, and fair procedure requirements remain untested by the courts. In order to resolve these issues, private sector ombudsmen, like the TIO, should be subject to a closer monitoring process. As a preliminary measure, an authoritative and standardised quality control assurance mechanism should be established to ensure that consumer complaints are effectively received and fairly handled.
Antireflection coatings combining interference multilayers and a nanoporous MgF2 top layer prepared by glancing angle deposition
Year: 2015

Thin MgF 2 films are prepared using the glancing angle deposition technique in order to produce optical thin film materials with low refractive index. The optical and structural film properties are examined by spectroscopic ellipsometry and scanning electron microscope. Results show that the films are transparent with a physical thickness of 162 nm. The films present a porous and inhomogeneous microstructure in which the porosity and thus the refractive index vary inside the film. The film effective refractive index is found to decrease from 1.33 near the substrate to 1.16 at the film surface. The dependence of the refractive index on the film depth is determined using an optical model based on the effective medium approximation. In order to take into account the index gradient character of the films in the coating design of broadband antireflection coatings, the index function is discretized in a finite number of homogeneous layers. The nanoporous MgF 2 layer is combined as an outermost layer with a multilayer system prepared by magnetron sputtering to manufacture a super broadband antireflection coating designed at a normal light incidence angle for the 400 1700 nm spectral range. Results show that the nanoporous MgF 2 coated multilayer system prepared on BK7 glass exhibits excellent antireflection properties with a residual average reflection of 0.5% in the spectral range of 400 1700 nm, owing to the low refractive index of the MgF 2 upper layer.
New Insights in Candida albicans Innate Immunity at the Mucosa: Toxins, Epithelium, Metabolism, and Beyond
Venue: Frontiers in Cellular and Infection Microbiology
Year: 2020

The mucosal surfaces of the human body are challenged by millions of microbes on a daily basis. Co evolution with these microbes has led to the development of plastic mechanisms in both host and microorganisms that regulate the balance between preserving beneficial microbes and clearing pathogens. Candida albicans is a fungal pathobiont present in most healthy individuals that, under certain circumstances, can become pathogenic and cause everything from mild mucosal infections to life threatening systemic diseases. As an essential part of the innate immunity in mucosae, epithelial cells elaborate complex immune responses that discriminate between commensal and pathogenic microbes, including C. albicans. Recently, several significant advances have been made identifying new pieces in the puzzle of host microbe interactions. This review will summarize these advances in the context of our current knowledge of anti Candida mucosal immunity, and their impact on epithelial immune responses to this fungal pathogen.
Effects of Organic Pollutants on Photosynthesis
Venue: Photosynthesis, Productivity and Environmental Stress
Year: 2019

Life on earth is powered by the process of photosynthesis. For more than billion years, life on earth has been transformed by the photosynthetic organisms. Photosynthetic organisms like cyanobacteria, algae, and plants harvest sunlight and produce oxygen and organic molecules, which are responsible for life on earth. Photosynthesis starts with the absorption of light of the visible region coming from the sun. It includes several partial processes such as splitting of water to molecular oxygen, electrons, and protons, which participate directly in the electrochemical reactions leading to phosphorylation and fixation of carbon dioxide into sugars. Plants are sessile organisms that cannot move and thus cannot avoid exposure to fluctuating environmental conditions. Plants face several abiotic stress factors, such as water deficit (drought) excess water (flooding/water logging) extremes of temperatures (cold, chilling, frost, heat) high salt, mineral deficiency, and toxicity. Because of climate changes, it is predicted that these abiotic stresses may become more intense and frequent. Climate change, occurring either naturally or anthropogenically, poses serious challenges for agriculture all over the world. During the last decades, environmental contamination has become one of the major problems on this planet. Anthropogenic activities have led to an abundance of soil, water, and air pollutants, factors that directly affect plants. Amongst these, environmental organic pollutants (OPs) have an immense effect on plant growth and development. OPs and their transformation products have been the most investigated environmental pollutants in last two decades. They accumulate in humans, animals, and plants as they are hydrophobic and lipid soluble, and they biomagnify as they move up the food chain. OPs can be found everywhere on earth as they can travel great distances in both air and water. OPs have been found to cause serious disorders in mammals such as cancer and endocrine disorders. It is therefore essential to understand how these contaminants enter and move in the ecosystem and environment. Plants are capable of taking up, transforming, and accumulating environmental Effects of Organic Pollutants on Photosynthesis Rupal Singh Tomar, Bhupendra Singh, and Anjana Jajoo