nils-herrmann/clean_scirepeval huggingface dataset:
Resource Dependence and Government NGO Relationship in China

As the civil society and corporatism theories have been frequently challenged recently, alternative theories emerged to investigate the government NGO relationship in China. Some new theories are largely related to resource dependence or share core ideas with it. This paper conducts a comprehensive review of the resource dependence theory. It identifies four groups of variables (organizational characteristics, board of directors, attitude and value, and external environment) finds support for their relevance from both Western and China scholarship, and applies them to the Chinese context. The resource dependence theory has the potential of empirically examining the relationship without over focusing on the state or society. It is capable of explaining the dynamic and diverse relationships between the government and various NGOs in China.
Towards a container based architecture for multi tenant SaaS applications
Venue: ARM@Middleware

SaaS providers continuously aim to optimize the cost efficiency, scalability and trustworthiness of their offerings. Traditionally, these concerns have been addressed by application level middleware platforms that implement a multi tenant architecture. However, the recent uprise and industry adoption of container technology such as Docker and Kubernetes, exactly for the purpose of improving the cost efficiency, elasticity and resilience of cloud native services, triggers the unanswered question whether and how container technology may affect such multi tenant architectures. To answer this question, we outline our ideas on a container based multi tenant architecture for SaaS applications. Subsequently, we make an assessment of the technical Strengths, Weaknesses, Opportunities, and Threats (SWOT) which should be taken into account by a SaaS provider when considering the adoption of such container based architecture.
Service Models for Cloud Computing: Search as a Service (SaaS)

Search as a Service (SaaS) is a cloud service model whose main focus is on enterprise search or site specific web search. Modern companies require fast and accurate information from their internal databases, internal document stores, or through the content of a website. Having a reliable searching mechanism is essential for both internal company staff and for external customers. In this paper the overview of current state and technological advances of Search as a Service (SaaS) cloud service is given, as well as its security issues on current internet service platforms. Keyword Cloud computing, Search as a Service (SaaS) internet technologies.
Integrating SaaS and SaaP with Dew Computing
Venue: 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud) Social Computing and Networking (SocialCom) Sustainable Computing and Communications (SustainCom) (BDCloud SocialCom SustainCom)

Software as a Service (SaaS) is one of the major service models of cloud computing and a new software delivery model, in this software delivery model, software is hosted centrally, is licensed to users on subscription basis, and typically is accessed by users through a Web browser. Before SaaS was introduced, the traditional software delivery model was Software as a Product (SaaP) software was sold to users and installed in users local computers. In this paper, we discuss the advantages and disadvantages of SaaS and SaaP, and suggest a new software delivery model that is an integration of SaaS and SaaP. Dew computing can be used to integrate SaaS and SaaP. This new software delivery model has some great features.
An empirical analysis to assess the determinants of SaaS diffusion in firms
Venue: Comput. Hum. Behav.

We propose a conceptual model for assessing the determinants of SaaS diffusion process (i.e. intention, adoption, and routinization) The conceptual model is based on three important theories of adoption at the firm level (i.e. technology organization environment TOE framework, diffusion of innovation DOI theory, and institutional INT theory) Data collected from 265 firms are used to test the conceptual model. Nine determinants are found to be statistically significant. By examining direct and total (direct and indirect) effects of the determinants, the study offers rich insight into the firm's decision to adopt and routinize SaaS. An evaluation of factors influencing the diffusion of SaaS.Research model based on TOE framework, INT theory, and DOI theory.Direct effects, as well as total (direct and indirect) effects are evaluated.The study provides insights to decision makers considering SaaS strategies.
Privacy concerns and benefits in SaaS adoption by individual users

Software as a Service, a new model of accessing software, presents individual users with tremendous opportunities to work and live conveniently and efficiently. Existing research has put much focus on understanding SaaS potential and risks for organizations and not much effort has been invested in understanding individual users, despite their market significance. This study aims at closing this gap by analyzing the cognitive mechanism through which individual users trade off privacy against the benefits that SaaS offers and identify salient benefits that trigger such trade off. Based on the Theory of Reasoned Action, the Privacy Trust Intention model and cost benefit theories, we developed a research framework that capture the trade off between benefits and privacy and further analyzed data collected from an online survey of SaaS users in Korea with 290 respondents. Our findings indicate that individual users' intention to use SaaS is negatively affected by privacy concerns and positively affected by overall perceived benefits in a relationship that is mediated by trust towards SaaS providers. Surprisingly, no direct, significant effect of privacy concerns on intention to use SaaS was found, whereas overall perceived benefits were found to have a direct effect on users' intention to adopt SaaS. We found convenience to be the most salient benefit that users expect from adopting SaaS. Our study contributes to existing research by developing and empirically verifying a benefits versus privacy framework in a rather neglected segment of SaaS consumers in previous research. The findings also guide SaaS providers in mitigating privacy concerns; while efforts to minimize privacy will enhance users' trust, it is of paramount importance to maximize salient benefits such as convenience that outweigh privacy concerns during users' decision making to adopt SaaS.
Analysis of Food Commodity Prices in Mozambique before and after the 2007/08 International Food Price Crisis

Large increases in international cereal prices during the international food price crisis of 2007/08 contributed to dramatic cereal price increases in many developing countries that regularly import grains. Previous research using descriptive analysis has noted that food commodity prices in Mozambique appear to be higher on average since 2008 (Cunguara et al 2012) even though international grain prices began to fall in 2009. In this paper, we use a combination of graphical and time series econometric analysis of monthly retail market price data from Mozambique for a number of food commodities to investigate: (a) the extent to which food commodity prices have risen in Mozambique post 2008; and (b) whether increases in international cereal prices and/or changes in domestic factors appear to explain increases in domestic food commodity prices post 2008. We have four main findings from this analysis.
Reducing the demand of energy cooling in the CED, "centers of Processing Data" with use of free cooling systems

The data processing centers (CED) are defined today among the areas with the greatest demand for energy for specific use, and for the intrinsic operation of the technological equipment of processing and the data transmission. As a result of the high diffusion of today's telecommunications systems, the CEDs are increasingly widely disseminated and characterized by logics of operation, such as to ensure a high level of reliability in terms of continuity of service. Objective of the proposed study is to evaluate the reduction of demand energy by cooling, through implementation of air conditioning technologies based on airconditioning systems of free cooling type. The study compares different operating scenarios in relation to hypothetical operating conditions, in different regions of Italy characterized by different environmental thermo hygrometric conditions, highlighting the limiting factors in terms of energy demand.
Effect of Length of Boom Support Leg on Free Standing Jib Crane

Free standing jib cranes are one of the materials handling equipment used intensively. Various design standards are available for design of jib crane, which helps designer to choose appropriate design parameters. Numbers of analysis techniques are available for design and validation of jib crane elements. In this paper an attempt has been made to optimize the length of boom support leg of free standing jib crane having capacity of 1Ton. With the help of FEM software i.e. ANSYS 15, by using trial and error method, it is found that, stresses developed in crane were minimum when length of leg boom support equals to near about 1/3 of column height.
Logistics Center Location Selection Approach Based on Neutrosophic Multi Criteria Decision Making

As an important and interesting topic in supply chain management, the concept of fuzzy set theory has been widely used in logistics center location in order to improve the reliability and suitability of the logistics center location with respect to the impacts of both qualitative and quantitative factor. However fuzzy set cannot deal with the indeterminacy involving with the problem. So the concept of single valued neutrosophic set due to Wang et al. (2010) is very helpful to deal with the problem. A neutrosophic approach is a more general and suitable approach in order to deal with neutrosophic information than fuzzy set. Logistics center location selection is a multi criteria decision making process involving subjectivity, impresion and fuzziness that can be easily represented by single valued neutrosophic sets. In this paper, we use the score and accuracy function and hybrid score accuracy function of singlevalued neutrosophic number and ranking method for singlevalued neutrosophic numbers to model logistics center location problem. Finally, a numerical example has been presented to illustrate the proposed approach.
New Trends in Neutrosophic Theory and Applications
Venue: ArXiv

Neutrosophic theory and applications have been expanding in all directions at an astonishing rate especially after the introduction the journal entitled "Neutrosophic Sets and Systems" New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc. The different hybrid structure such as rough neutrosophic set, single valued neutrosophic rough set, bipolar neutrosophic set, single valued neutrosophic hesitant fuzzy set, etc. are proposed in the literature in a short period of time. Neutrosophic set has been a very important tool in all various areas of data mining, decision making, e learning, engineering, medicine, social science, and some more. The book "New Trends in Neutrosophic Theories and Applications" focuses on theories, methods, algorithms for decision making and also applications involving neutrosophic information. Some topics deal with data mining, decision making, e learning, graph theory, medical diagnosis, probability theory, topology, and some more. 30 papers by 39 authors and coauthors.
Guardians of Your Galaxy S7: Encryption Backdoors and the First Amendment

On December 2, 2015, two armed individuals killed fourteen people in San Bernardino, California. In the aftermath of the shooting, investigators began looking into evidence they could obtain from the shooters' electronic devices. However, when they did so, they were met with a roadblock: encryption. Encryption is everywhere, from toasters to televisions. Encryption is the key to privacy in the digital era; it makes secure online banking, trading, and purchasing possible. The use of
God rest our hearts: Religiosity and cognitive reappraisal.
Venue: Emotion

Although religiosity is often accompanied by more intense emotions, we propose that people who are more religious may be better at using 1 of the most effective emotion regulation strategies namely, cognitive reappraisal. We argue that religion, which is a meaning making system, is linked to better cognitive reappraisal, which involves changing the meaning of emotional stimuli. Four studies (N 2,078) supported our hypotheses. In Study 1, religiosity was associated with more frequent use of cognitive reappraisal in 3 distinct religions (i.e. Islam, Christianity, Judaism) In Studies 2A 2B, we replicated these findings using 2 indices of cognitive reappraisal and in a large representative sample. In Studies 3 4, individuals more (vs. less) religious were more effective in using cognitive reappraisal in the laboratory. We discuss how these findings inform our understanding of the psychology of religion and of emotion regulation.
Developing Teachers' Expertise to Teach English Language: An Evaluative Study of Professional Development Programme at Taif University English Language Centre

Language teachers need opportunities to enhance and update their language teaching skills. Current researches in English language teaching methodologies have proved that teachers who stay up to date with latest teaching techniques are always efficient. They always need to be trained and aware of how they can continue being effective teachers and cope with relative challenges such as students' low level of language proficiency, large number of students in class at a time and longer teaching hours. Hence the sole objective of the present research is to evaluate the effectiveness of Professional Development Program (PDP) of Taif University. Seeking for this objective, the researcher collected the data through a questionnaire from the participating teachers both males (50) and females (50) The survey was based on five principles drawn by Loucks Horsley, et al. (2010) The respondents acknowledged the utility and importance of continuous up gradation of their professional development and leadership skills. They also acknowledged that PDP provides learning opportunity for them. Furthermore they regarded PDP in line with the TU ELC mission, goal, and objectives. However, they expressed constraints regarding experimentation of new instructional practices, continuous support and follow up activities, and a research base similar to the ELC situation, community and context.
Serum IL 18 as biomarker in predicting long term renal outcome among pediatric onset systemic lupus erythematosus patients
Venue: Medicine

AbstractAn urge of biomarker identification is needed to better monitor lupus nephritis (LN) disease activity, guide clinical treatment, and predict patient's long term outcome. With the proinflammatory effect and its association with inflammasomes, the significance of interleukin 18 (IL 18) among pediatric onset systemic lupus erythematous (pSLE) patient, especially, its importance in predicting long term renal outcome was investigated.In a pSLE cohort of 96 patients with an average follow up period of 10.39 3.31 years, clinical data and laboratory workups including serum IL 18 were collected at time of disease onset and 6 months after treatment despite their initial renal status. Through Cox regression analysis, the parameters at baseline and at 6 months posttreatment were carefully analyzed.Average age of all cases was 12.74 3.01 years old and 65 of them underwent renal biopsy at the time of diagnosis. Nine subjects (9.38% progressed to end stage renal disease (ESRD) and 2 cases (2.08% died during follow up. Through multivariate analysis, serum IL 18 level 6 months posttreatment was found to be the most unfavorable factor associating poor clinical outcome despite patient's initial renal status. In addition, the presentation of serum IL 18 in its correlation with SLE global disease activity as well as the presence and severity of LN were all significant (P 0.001, P 0.03, and P 0.02, respectively) The histological classification of LN, however, was not associated with the level of IL 18 among the pSLE patients (P 0.64).The role of serum IL 18 as biomarker representing global disease activity and status of renal flares among pSLE population was shown for the first time. Additionally, we have identified IL 18 at 6 months posttreatment a novel marker for long term renal outcome prediction.
Synthesis of BiOI nanosheet/coarsened TiO2 nanobelt heterostructures for enhancing visible light photocatalytic activity

For high photocatalytic activity, BiOI nanosheets were deposited on acid corroded TiO2 nanobelts, where a large number of BiOI nanosheet/TiO2 nanobelt heterojunctions could be built. The structure, morphology and optical properties of the BiOI nanosheet/coarsened TiO2 nanobelt heterostructure composites (BiOI/TiO2 CNHs) were characterized by XRD, XPS, SEM, HRTEM, DRS, PL, TOC and nitrogen sorption. The XRD results show that only two phases of TiO2 and BiOI were found in the composites. The HRTEM image shows clear lattice fringes, which prove the formation of heterojunctions at the interface between BiOI and coarsened TiO2. The photocatalytic activity of the BiOI/TiO2 CNHs for the degradation of methyl orange under visible light irradiation was evaluated. The results reveal that the BiOI/TiO2 CNHs exhibited much higher photocatalytic activity compared with coarsened TiO2 nanobelts and pure BiOI nanosheets due to the introduction of BiOI onto the surface of the coarsened TiO2 nanobelts and the formation of heterojunctions. BiOI acts as a visible light photosensitizer in the BiOI/TiO2 CNHs. In addition, the large surface area and matched energy bands of the BiOI/TiO2 CNHs both contribute to enhancing the photocatalytic activity. In addition, the possible mechanism of promotion of the photocatalytic performance of the new heterostructure system is explained.
Synthesis of Cu2O Octadecahedron/TiO2 Quantum Dot Heterojunctions with High Visible Light Photocatalytic Activity and High Stability.
Venue: ACS applied materials interfaces

Since p n heterojunction photocatalysts with higher energy facets exposed usually possess greatly enhanced photocatalytic activities than single phase catalysts, a novel Cu2O octadecahedron/TiO2 quantum dot (Cu2O O/TiO2 QD) p n heterojunctions composite was designed and synthesized in this study. Cu2O octadecahedra (Cu2O O) with {110} facets and {100} facets exposed were synthesized first, then highly dispersed TiO2 quantum dots (TiO2 QDs) were loaded on Cu2O O by the precipitation of TiO2 QDs sol in the presence of absolute ethanol. The morphology, crystal structure, chemical composition, optical properties, photocatalytic activity, and stability of Cu2O O/TiO2 QD heterojunctions were characterized and investigated. It was found that TiO2 QDs were firmly anchored on Cu2O O single crystals with good dispersibility. The Cu2O O/TiO2 QD heterojunctions with partial coverage of TiO2 QDs showed a strong absorbance of visible light and exhibited an effective transfer of photoexcited electrons. The degradation of methyl orange (MO) under visible light irradiation indicated that the photocatalytic activity of Cu2O O/TiO2 QD heterojunctions was significantly enhanced compared with that of Cu2O O. This Cu2O O/TiO2 QD heterojunctions composite exhibited high stability in MO degradation process and after storage in air. The high visible light photocatalytic activity and good stability were attributed to high utilization of light, effective separation of photoexcited electron hole pairs, and instant scavenging of holes in the unique heterojunction structure.
HOST GALAXY PROPERTIES of 32 LOW REDSHIFT SUPERLUMINOUS SUPERNOVAE from the PALOMAR TRANSIENT FACTORY

We present ultraviolet through near infrared photometry and spectroscopy of the host galaxies of all superluminous supernovae (SLSNe) discovered by the Palomar Transient Factory prior to 2013 and derive measurements of their luminosities, star formation rates, stellar masses, and gas phase metallicities. We find that Type I (hydrogen poor) SLSNe (SLSNe I) are found almost exclusively in low mass (M_* 2 x 10^9 M_) and metal poor (12 log_(10)[O/H] 8.4) galaxies. We compare the mass and metallicity distributions of our sample to nearby galaxy catalogs in detail and conclude that the rate of SLSNe I as a fraction of all SNe is heavily suppressed in galaxies with metallicities 0.5 Z_. Extremely low metallicities are not required and indeed provide no further increase in the relative SLSN rate. Several SLSN I hosts are undergoing vigorous starbursts, but this may simply be a side effect of metallicity dependence: dwarf galaxies tend to have bursty star formation histories. Type II (hydrogen rich) SLSNe (SLSNe II) are found over the entire range of galaxy masses and metallicities, and their integrated properties do not suggest a strong preference for (or against) low mass/low metallicity galaxies. Two hosts exhibit unusual properties: PTF 10uhf is an SLSN I in a massive, luminous infrared galaxy at redshift z 0.29, while PTF 10tpz is an SLSN II located in the nucleus of an early type host at z 0.04.
Utilization of tomato peel waste from canning factory as a potential source for pectin production and application as tin corrosion inhibitor

The possibility of utilizing the bioorganic tomato peel as a cheap source for pectin production and its application as a corrosion inhibitor was investigated to implement viable cyclical economy principle in solving the main problem of waste disposal.  Pectin, from two batches (A and B) from canning factory, was extracted in two steps with ammonium oxalate/oxalic acid, under reflux. Physico chemical properties, characterisation of structure (FTIR and NMR spectroscopy) and application as corrosion inhibitor of pure tin for isolated pectin were investigated.  The highest pectin yield of 32.6 and 31.9% in two batches, respectively, but the lowest pectin quality, i.e. methoxy and anhydrouronic acid contents and degree of esterification, were obtained in the second extraction step, which points out that higher pectin yields are not necessarily connected with higher pectin quality. The results of total anhydrouronic acid content for batches A (52.9% and B (39.6% show that sample origin have a considerable effect on pectin quality. Degree of esterification around 82% categorizes extracted pectin as high methoxy pectin. Corrosion results point out that pectin is efficient inhibitor (73% even at very low concentrations, much better then commercially available pectin.  According to chemical profile, rheological properties and structural characterisation of extracted pectins, it can be concluded that tomato peel is a suitable source for pectin isolation. The obtained results show that under utilised biomass waste from tomato canning industry can be used for development of new generation of corrosion inhibitors and as valuable additive in food industry.
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The team makes fundamental and applied research in the analysis of complex natural signals using paradigms and methods from Statistical Physics such as: scale invariance, predictabilit y universal ity classes We study the parameters related to common statistical organization in different complex signals and systems, we derive new types of sparse and compact representations and machine learning approaches We are also developing tools for the analysis of complex signals that better match the statistical and geometrical organisation inside these data: as a typical example, we cite the evaluation of cascading properties of physical variables inside complex signals.