nils-herrmann/clean_scirepeval huggingface dataset:
A Hybrid Multi Criteria Decision Making Model for a Cloud Service Selection Problem Using BSC, Fuzzy Delphi Method and Fuzzy AHP
Venue: Wirel. Pers. Commun.

In rapid changing the global business environment, information communication technology (ICT) is essential for the survival of a firm, and the functions of ICT is becoming increasingly important. The emergence of cloud computing represents a fundamental change of ICT services and cloud services continue to grow rapidly with increasing functionality and more users. As a result of this growth, it is a critical issue to select a suitable cloud service which meets all the business strategies and the objectives of firms. This paper proposes a hybrid multi criteria decision making model for a cloud service selection problem using balanced scorecard (BSC) fuzzy Delphi method (FDM) and fuzzy analytical hierarchy process (FAHP) We focus on selecting an IaaS among cloud services for firms' users. The BSC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth) and to derive decision making criteria and decision making factors are selected for each BSC perspective. FDM is used to select the list of important decision making factors within each BSC perspective based on the decision makers' opinion. A FAHP approach is then proposed in order to compares the decision making criteria and factors and determine the importance of them. It is also used to select the best cloud service among the cloud service alternatives based on the predetermined weights of decision making criteria and factors. In this study, the BSC and FAHP as the hybrid multi criteria decision making technique are used to select the best cloud service. Our findings can be utilized as bases to apply systematic decision making processes for the best cloud service selection and for providing guidance to IT department managers or CTO regarding performance evaluation and strategies to improve companies' performance and capability.
A novel hybrid MCDM model for performance evaluation of research and technology organizations based on BSC approach.
Venue: Evaluation and program planning

Balanced Scorecard (BSC) is a strategic evaluation tool using both financial and non financial indicators to determine the business performance of organizations or companies. In this paper, a new integrated approach based on the Balanced Scorecard (BSC) and multi criteria decision making (MCDM) methods are proposed to evaluate the performance of research centers of research and technology organization (RTO) in Iran. Decision Making Trial and Evaluation Laboratory (DEMATEL) are employed to reflect the interdependencies among BSC perspectives. Then, Analytic Network Process (ANP) is utilized to weight the indices influencing the considered problem. In the next step, we apply four MCDM methods including Additive Ratio Assessment (ARAS) Complex Proportional Assessment (COPRAS) Multi Objective Optimization by Ratio Analysis (MOORA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking of alternatives. Finally, the utility interval technique is applied to combine the ranking results of MCDM methods. Weighted utility intervals are computed by constructing a correlation matrix between the ranking methods. A real case is presented to show the efficacy of the proposed approach.
Strategic approach to the optimization of organization based on BSC SWOT matrix
Venue: 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA)

Global economic instability generates new types of the competition. One of such new types is optimization of the organization. Complexity and speed of changes of external environment of functioning of the company at the present stage of development of world economy causes necessity to give considerably bigger attention to optimization of the organization. In this regard, there is a need of application of the innovative integrated approach allowing performing optimization in interrelation with strategic objectives, to consider interests of all parties involved, and to provide formation of internal business processes according to the customer oriented approach. It is offered to realize this approach by means of BSC SWOT matrix.
Development of Hybrid Surfaces with Tunable Wettability by Selective Surface Modifications
Venue: Materials

Recent advances in micro/nano technology have driven artificial modifications of surface wettability by mimicking biological surfaces, such as superhydrophobic and water harvesting surfaces. In this study, surface wettability of polycarbonate (PC) films was modified using various surface treatments: micropatterning using ultrasonic imprint lithography, fluorinate silane coating, and electron beam irradiation. To modify surface wettability selectively in a specified region, these three treatments were performed using profiled masks with the corresponding shapes. Various combinations of these treatments were investigated in terms of wettability changes, by measuring contact angle (CA) The semi hydrophobic PC film (CA: 89.2deg) was modified to create a super hydrophobic state (CA: 155.9deg) by virtue of the selective micropatterning and coating. The electron beam irradiation had an opposite effect, reducing the CA (48.2deg) so that the irradiated region was modified to create a hydrophilic state. Two combinations of the proposed surface modifications made it possible to have a great difference in CA on a single surface (107.7deg) and to have four different wetting states on a single surface. Various water drop experiments proved that the developed hybrid surfaces were selectively wettable and showed water collecting capability.
Conductas de ciberadiccion y experiencias de cyberbullying entre adolescentes

The relationship between young people and technologies implies some risks like online addiction and cyberbullying. This study analyses the use of mobile phones and computers in a sample of adolescents, their online addiction behaviours, and bullying and cyberbullying experiences considering the influence of gender and school level. Parental control during Internet use is also considered. Using a self report questionnaire, 1353 secondary and high school adolescents between 12 21 years old participated M 14.8; SD 1.62; 52.8% boys) Results show an average of 1 2 hours daily use of mobile phone and computers. Around 13% of students report online addictions behaviors and 32% are in risk of, with differences by gender and school level. Results indicate more involvement in traditional bullying (12% than in cyberbullying (7.7% and a significant association between both behaviors and technologies use. Besides, parental mediation acts as protective factor. In conclusion, this study underlines the need to teach young people and educators about risks regarding excessive use of technology.
Ocean acidification alters fish populations indirectly through habitat modification

Contrary to expectation, some fish species living around CO2 vents natural 'laboratories' for studying the effects of ocean acidification show increased abundance due to indirect positive effects of acidification on habitat and food resources. Ocean ecosystems are predicted to lose biodiversity and productivity from increasing ocean acidification1. Although laboratory experiments reveal negative effects of acidification on the behaviour and performance of species2,3, more comprehensive predictions have been hampered by a lack of in situ studies that incorporate the complexity of interactions between species and their environment. We studied CO2 vents from both Northern and Southern hemispheres, using such natural laboratories4 to investigate the effect of ocean acidification on plant animal associations embedded within all their natural complexity. Although we substantiate simple direct effects of reduced predator avoidance behaviour by fishes, as observed in laboratory experiments, we here show that this negative effect is naturally dampened when fish reside in shelter rich habitats. Importantly, elevated CO2 drove strong increases in the abundance of some fish species through major habitat shifts, associated increases in resources such as habitat and prey availability, and reduced predator abundances. The indirect effects of acidification via resource and predator alterations may have far reaching consequences for population abundances, and its study provides a framework for a more comprehensive understanding of increasing CO2 emissions as a driver of ecological change.
Lost at sea: ocean acidification undermines larval fish orientation via altered hearing and marine soundscape modification
Venue: Biology Letters

The dispersal of larvae and their settlement to suitable habitat is fundamental to the replenishment of marine populations and the communities in which they live. Sound plays an important role in this process because for larvae of various species, it acts as an orientational cue towards suitable settlement habitat. Because marine sounds are largely of biological origin, they not only carry information about the location of potential habitat, but also information about the quality of habitat. While ocean acidification is known to affect a wide range of marine organisms and processes, its effect on marine soundscapes and its reception by navigating oceanic larvae remains unknown. Here, we show that ocean acidification causes a switch in role of present day soundscapes from attractor to repellent in the auditory preferences in a temperate larval fish. Using natural CO2 vents as analogues of future ocean conditions, we further reveal that ocean acidification can impact marine soundscapes by profoundly diminishing their biological sound production. An altered soundscape poorer in biological cues indirectly penalizes oceanic larvae at settlement stage because both control and CO2 treated fish larvae showed lack of any response to such future soundscapes. These indirect and direct effects of ocean acidification put at risk the complex processes of larval dispersal and settlement.
Ocean acidification alters temperature and salinity preferences in larval fish
Venue: Oecologia

Ocean acidification alters the way in which animals perceive and respond to their world by affecting a variety of senses such as audition, olfaction, vision and pH sensing. Marine species rely on other senses as well, but we know little of how these might be affected by ocean acidification. We tested whether ocean acidification can alter the preference for physicochemical cues used for dispersal between ocean and estuarine environments. We experimentally assessed the behavioural response of a larval fish (Lates calcarifer) to elevated temperature and reduced salinity, including estuarine water of multiple cues for detecting settlement habitat. Larval fish raised under elevated CO2 concentrations were attracted by warmer water, but temperature had no effect on fish raised in contemporary CO2 concentrations. In contrast, contemporary larvae were deterred by lower salinity water, where CO2 treated fish showed no such response. Natural estuarine water of higher temperature, lower salinity, and containing estuarine olfactory cues was only preferred by fish treated under forecasted high CO2 conditions. We show for the first time that attraction by larval fish towards physicochemical cues can be altered by ocean acidification. Such alterations to perception and evaluation of environmental cues during the critical process of dispersal can potentially have implications for ensuing recruitment and population replenishment. Our study not only shows that freshwater species that spend part of their life cycle in the ocean might also be affected by ocean acidification, but that behavioural responses towards key physicochemical cues can also be negated through elevated CO2 from human emissions.
Statin related aminotransferase elevation according to baseline aminotransferases level in real practice in Korea
Venue: Journal of clinical pharmacy and therapeutics

Higher rate of statin related hepatotoxicity has been reported for Koreans than for Westerners. Moreover, statin related aminotransferase elevation for those who show borderline levels of aspartate transaminase (AST) and alanine transaminase (ALT) =x3 of UNL) at baseline has not been fully investigated.
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems
Venue: ACML

Modern technologies enable us to record sequences of online user activity at an unprece dented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating prediction paradigm, ignoring temporal and contextual aspects of user behavior revealed by temporal, recurrent patterns. In contrast to explicit ratings, such activity logs can be collected in a non intrusive way and can offer richer insights into the dynamics of user preferences, which could potentially lead more accurate user models. In this work we advocate studying this ubiquitous form of data and, by combining ideas from latent factor models for collaborative filtering and language modeling, propose a novel, flexible and expressive collaborative sequence model based on recurrent neural networks. The model is designed to capture a user's contextual state as a personalized hidden vector by summarizing cues from a data driven, thus variable, number of past time steps, and represents items by a real valued embedding. We found that, by exploiting the inherent structure in the data, our formulation leads to an efficient and practical method. Furthermore, we demonstrate the versatility of our model by applying it to two different tasks: music recommendation and mobility prediction, and we show empirically that our model consistently outperforms static and non collaborative methods.
Damage Characteristics of TiD2 Films Irradiated by a Mixed Pulsed Beam of Titanium and Hydrogen Ions

Titanium deuteride is an important nuclear material used in the field of nuclear technology, and further research is needed into TiD2 films irradiated by pulsed ion beams of the vacuum arc discharge with hydrogen. In the current study, these irradiated TiD2 films have been investigated using scanning electronic microscopy and slow positron annihilation techniques. Both the thermal effect and irradiation defects of TiD2 films were studied, following their irradiation with mixed pulsed ion beams of titanium and hydrogen ions. It is found that the thermal effect is trivial on the irradiated surfaces, and the dominant effect is irradiation defects which can be enhanced by repetitive shots and is characterized by the inner diffusion of irradiation defects.
Molecular Epidemiology of Campylobacter coli Strains Isolated from Different Sources in New Zealand between 2005 and 2014
Venue: Applied and Environmental Microbiology

Campylobacteriosis is one of the most important foodborne diseases worldwide and a significant health burden in New Zealand. Campylobacter jejuni is the predominant species worldwide, accounting for approximately 90% of human cases, followed by Campylobacter coli. Most studies in New Zealand have focused on C. jejuni; hence, the impact of C. coli strains on human health is not well understood. The aim of this study was to genotype C. coli isolates collected in the Manawatu region of New Zealand from clinical cases, fresh poultry meat, ruminant feces, and environmental water sources, between 2005 and 2014, to study their population structure and estimate the contribution of each source to the burden of human disease. Campylobacter isolates were identified by PCR and typed by multilocus sequence typing. C. coli accounted for 2.9% (n 47/1,601) of Campylobacter isolates from human clinical cases, 9.6% (n 108/1,123) from poultry, 13.4% (n 49/364) from ruminants, and 6.4% (n 11/171) from water. Molecular subtyping revealed 27 different sequence types (STs) of which 18 belonged to clonal complex ST 828. ST 1581 was the most prevalent C. coli sequence type isolated from both human cases (n 12/47) and poultry (n 44/110) When classified using cladistics, all sequence types belonged to clade 1 except ST 7774, which belonged to clade 2. ST 854, ST 1590, and ST 4009 were isolated only from human cases and fresh poultry, while ST 3232 was isolated only from human cases and ruminant sources. Modeling indicated ruminants and poultry as the main sources of C. coli human infection.  We performed a molecular epidemiological study of Campylobacter coli infection in New Zealand, one of few such studies globally. This study analyzed the population genetic structure of the bacterium and included a probabilistic source attribution model covering different animal and water sources. The results are discussed in a global context.
Comment on "Spin Orbit Logic with Magnetoelectric Nodes: A Scalable Charge Mediated Nonvolatile Spintronic Logic" (arXiv:1512.05428)

Researchers from Intel Corporation recently proposed "Magneto Electric Spin Orbit (MESO)" logic as a new strategy for beyond CMOS electronics  The Intel researchers project that this concept has the potential to reduce the switching energy per bit "to near thermodynamic limits for GHz logic (100 kT switching at 100 ps delay)" i.e. to near 0.4 aJ. Here I point out that the switching energy stated in ref.  is incorrect, because the paper neglects a large energy cost associated with Ohmic dissipation that is unavoidable within the MESO scheme. Using optimistic parameters, the true minimum switching energy per bit within the MESO approach is at least 150 fJ, or more than 300,000 times greater than the value stated in ref.  Given this large energy cost, the MESO concept is not a viable strategy for beyond CMOS logic.
Inner Product Masking for Bitslice Ciphers and Security Order Amplification for Linear Leakages
Venue: CARDIS

Designers of masking schemes are usually torn between the contradicting goals of maximizing the security gains while minimizing the performance overheads. Boolean masking is one extreme example of this tradeoff: its algebraic structure is as simple as can be (and so are its implementations) but it typically suffers more from implementation weaknesses. For example knowing one bit of each share is enough to know one bit of secret in this case. Inner product masking lies at the other side of this tradeoff: its algebraic structure is more involved, making it more expensive to implement (especially at higher orders) but it ensures stronger security guarantees. For example, knowing one bit of each share is not enough to know one bit of secret in this case.
Isotropy test for spatial point processes using stochastic reconstruction

We develop a model free isotropy test for spatial point patterns. The proposed test statistic assesses the discrepancy between the uniform distribution and the empirical normalised reduced second order moment measure of a sector of increasing central angle. The null distribution of the test statistic is approximated by the empirical distribution obtained from bootstrap type samples, which are generated by a stochastic procedure reconstructing independent isotropic patterns that resemble the spatial structure of the given point pattern, without specifying any underlying model. Simulation studies show that, when compared with the asymptotic kh 2 test by Guan et al. (2006) the powers of the proposed test are more robust to different choices of user chosen parameter. When applied to patterns of amacrine cells and Spanish towns, the bootstrap type test clearly suggests rejection for the former and not rejection for the latter, while the asymptotic kh 2 test is not conclusive in either case.
A framework for energy reduction in manufacturing process chains (E MPC) and a case study from the Turkish household appliance industry

Energy is a major input in the manufacturing sector. Its security and efficiency are of supreme importance to a nation's industrial activities. Energy consumption also has serious environmental impacts in terms of Greenhouse Gas (GHG) emissions. In order to use energy more efficiently, simply designing parts and planning manufacturing processes with an energy aware mindset is insufficient; it is also necessary to model and assess the energy efficiency of a process chain from a holistic point of view. In this work, we propose an integrated energy reduction framework and the internal methods to implement it. Our framework builds on three pillars. Creating an energy profile of a process chain is the first step in characterizing a manufacturing system in terms of energy demand. Energy aware part designs and process plans are based on ISO/STEP 10303 AP224 standards in order to estimate the embodied energy of a mechanical part. Finally, using discrete event simulation methods, the energy consumption of a process chain is assessed and reduction scenarios are generated based on design or operational alternatives. A data collection and analytics system visualizing measures and key performance indicators (KPIs) also must be implemented in order to measure real consumption values and track improvement results over time. The energy reduction in manufacturing process chains (E MPC) framework is unique in that it provides a structured method which enables the embodied energy of a part to be estimated during early design stages and further enables the evaluation of design impacts on process chains, thereby recognizing the dynamic nature of systems. A pilot case study of the framework was implemented at the largest household appliance manufacturer in Turkey, Arcelik A.S. In order to evaluate its usefulness and validity, we performed a detailed implementation on a fully automated crankshaft manufacturing line in Arcelik's refrigerator compressor plant. The results reveal that design improvements estimated gains would reach 2% whereas operational improvements yield up to 10% energy savings per produced part.
Bandgap and temperature dependence of Auger recombination in InAs/InAsSb type II superlattices

A time and temperature dependent differential transmission technique is used to study the bandgap dependence of Auger recombination in Ga free InAs/InAsSb type II superlattices (T2SLs) The bandgap energies are varied between 290 meV (4.3 mm) and 135 meV (9.2 mm) by engineering the layer thickness and alloy Sb concentration. A long wave infrared structure with 135 meV bandgap energy is found to have an Auger coefficient of 9 x 10 26 cm6/s at 77 K. The measured Auger coefficients increase with decreasing bandgap from approximately 3 x 10 27 cm6/s for mid wave infrared bandgaps to 2 x 10 25 cm6/s for long wave infrared bandgaps at 77 K. The measured T2SL Auger coefficients are compared to predicted Auger coefficients for HgCdTe.
Space Based Remote Imaging Spectroscopy of the Aliso Canyon CH4 Superemitter

The Aliso Canyon gas storage facility near Porter Ranch, California, produced a large accidental CH_4 release from October 2015 to February 2016. The Hyperion imaging spectrometer on board the EO 1 satellite successfully detected this event, achieving the first orbital attribution of CH_4 to a single anthropogenic superemitter. Hyperion measured shortwave infrared signatures of CH_4 near 2.3 mm at 0.01 mm spectral resolution and 30 m spatial resolution. It detected the plume on three overpasses, mapping its magnitude and morphology. These orbital observations were consistent with measurements by airborne instruments. We evaluate Hyperion instrument performance, draw implications for future orbital instruments, and extrapolate the potential for a global survey of CH_4 superemitters.