nils-herrmann/clean_scirepeval huggingface dataset:
Autonomous environmental monitoring by self powered biohybrid robot
Venue: 2016 IEEE International Conference on Mechatronics and Automation

This paper reports the first demonstration of a self powered environmental monitoring robot which backpacked a biofuel cell (BFC) and a micro wireless sensor module on insect. Electric power was generated from blood sugar in its hemolymph by using the BFC and temperature and humidity around it was monitored by using the wireless sensor module. Furthermore, the robot moves autonomously by the intention of insect. First, the BFC which can be backpacked cockroaches was fabricated with a 3D printer. The electrochemical reaction of the anode in the insect mountable BFC (imBFC) was evaluated and an oxidation current of 1.18 mA/cm2 (at +0.6 V vs. Ag|AgCl) was observed. Then, the performance of the imBFC was evaluated and a maximum power output of 333 mW (at 0.5 V) was obtained. Furthermore, a wireless temperature and humidity sensor was successfully driven by the imBFC. Finally, the imBFC and the micro wireless sensor module were mounted on the insect and environmental monitoring was done by the insect. These results indicate that the insect which backpacked the self powered battery and micro wireless sensors has sufficient potential as microrobots for environmental monitoring and searching in disasters.
Consumer responses to CSR in Indian banking sector

The objective of this study is to investigate the how corporate social responsibility (CSR) effect consumer responses in the banking industry. This study contributes to the previous literature by exploring the moderating role of awareness and mediating role of trust in the proposed conceptual model. The proposed relationship in the study was tested through a structural equation modeling for a sample of 619 customers of Indian banks. The findings drawn from the study demonstrate how corporate ability and CSR influence the consumer responses specifically the purchase intention towards their banks. The hypothesized relationships in this study are empirically supported. The corporate ability is the strong influence on consumer purchase intention with their financial service provider as compare to CSR. The findings drawn from this study have important implication for the banking companies to build a social image to have a favorable impression in customer's mind. This study tries to contribute to the literature on CSR by understating its dynamics and effect on customer behavior outcomes. The researchers have taken into account the role of two variables i.e. corporate ability and CSR and their effect on customer response.
Application of drive circuit based on L298N in direct current motor speed control system
Venue: Other Conferences

In the experiment of researching the nanometer laser interferometer, our design of laser interferometer circuit system is up to the wireless communication technique of the 802.15.4 IEEE standard, and we use the RF TI provided by Basic to receive the data on speed control system software. The system's hardware is connected with control module and the DC motor. However, in the experiment, we found that single chip microcomputer control module is very difficult to drive the DC motor directly. The reason is that the DC motor's starting and braking current is larger than the causing current of the single chip microcomputer control module. In order to solve this problem, we add a driving module that control board can transmit PWM wave signal through I/O port to drive the DC motor, the driving circuit board can come true the function of the DC motor's positive and reversal rotation and speed adjustment. In many various driving module, the L298N module's integrated level is higher compared with other driver module. The L298N model is easy to control, it not only can control the DC motor, but also achieve motor speed control by modulating PWM wave that the control panel output. It also has the over current protection function, when the motor lock, the L298N model can protect circuit and motor. So we use the driver module based on L298N to drive the DC motor. It is concluded that the L298N driver circuit module plays a very important role in the process of driving the DC motor in the DC motor speed control system.
Guiding through the Fog: Does annual report readability reveal earnings management?

This paper attempts to find a relationship between earnings management and annual report readability. The study was conducted on the French stock market between 2010 and 2013 and includes 163 firms listed on the CACALL shares index. We assess the readability of annual reports using the Gunning Fog Index and earnings management is measured by discretionary accruals estimated using the models of Dechow et al. (1995) and Raman and Shahrur (2008) Our results show the existence of a positive and significant relation between the level of discretionary accounting adjustments and Fog Index. In fact, companies managing their earnings tend to make annual report readability more complex. In this way, we also find a significant link between the Fog Index and the other financial indicators of our model (Ownership dispersion, Profitability, Leverage and Firm size) so supporting our main result.
Quantum teleportation with independent sources over an optical fibre network

Quantum teleportation faithfully transfers a quantum state between distant nodes in a network, enabling revolutionary information processing applications. Here we report teleporting quantum states over a 30 km optical fiber network with the input single photon state and the EPR state prepared independently. By buffering photons in 10 km coiled optical fiber, we perform Bell state measurement after entanglement distribution. With active feed forward operation, the average quantum state fidelity and quantum process fidelity are measured to be 0.85 and 0.77, exceeding classical limits of 0.67 and 0.5, respectively. The statistical hypothesis test shows that the probability of a classical process to predict an average state fidelity no less than the one observed in our experiment is less than 2.4E 14, confirming the quantum nature of our quantum teleportation experiment. Our experiment marks a critical step towards the realization of quantum internet in the future.
Coupling thermal atomic vapor to an integrated ring resonator

Strongly interacting atom cavity systems within a network with many nodes constitute a possible realization for a quantum internet which allows for quantum communication and computation on the same platform. To implement such large scale quantum networks, nanophotonic resonators are promising candidates because they can be scalably fabricated and interconnected with waveguides and optical fibers. By integrating arrays of ring resonators into a vapor cell we show that thermal rubidium atoms above room temperature can be coupled to photonic cavities as building blocks for chip scale hybrid circuits. Although strong coupling is not yet achieved in this first realization, our approach provides a key step towards miniaturization and scalability of atom cavity systems.
The hidden world of anti phospholipid antibodies and female infertility: A literature appraisal.
Venue: Autoimmunity reviews

Even though the association of anti phospholipid antibodies (aPL) with infertility is debated, infertile women are commonly screened for aPL. To review evidence, a systematic PubMed search was conducted to retrieve papers addressing (i) the association between aPL and infertility, (ii) the positivity rate of criteria and non criteria aPL in women with infertility, (iii) the association between aPL and assisted reproduction technologies (ART) outcome, (iv) the efficacy of medical treatments on ART outcome, and (v) the effects of ART on thrombotic risk. A total of 46 papers were considered; several limitations emerged: (i) wide heterogeneity in study populations, (ii) non prospective design in 90% of studies, and (iii) aPL cutoffs not conforming to international guidelines in more than 75% of studies; aPL positivity not confirmed in 89% of studies. Most studies evinced an association between infertility and anti b2GPI antibodies and almost all non criteria aPL. The association rate with infertility was below 50% for lupus anti coagulant, anti cardiolipin antibodies (aCL) and anti phosphatidic acid antibodies. According to our estimates, overall positivity rates of criteria and non criteria aPL tests are 6% and 3% among infertile women, 1% and 2% among controls, respectively. A significant difference in the positivity rate of patients versus controls emerged for aCL only. Five of 18 studies reported a detrimental effect of aPL on ART outcome. Only one of the six studies assessing the effects of treatment on ART outcome among aPL positive infertile women reported a benefit. All relevant studies reported no increase in the rate of thrombosis among aPL positive women undergoing ART.
Effects of partial sleep deprivation on slow waves during non rapid eye movement sleep: A high density EEG investigation
Venue: Clinical Neurophysiology

Changes in slow waves during non rapid eye movement (NREM) sleep in response to acute total sleep deprivation are well established measures of sleep homeostasis. This investigation utilized high density electroencephalography (hdEEG) to examine topographic changes in slow waves during repeated partial sleep deprivation.  Twenty four participants underwent a 6 day sleep restriction protocol. Spectral and period amplitude analyses of sleep hdEEG data were used to examine changes in slow wave energy, count, amplitude, and slope relative to baseline.  Changes in slow wave energy were dependent on the quantity of NREM sleep utilized for analysis, with widespread increases during sleep restriction and recovery when comparing data from the first portion of the sleep period, but restricted to recovery sleep if the entire sleep episode was considered. Period amplitude analysis was less dependent on the quantity of NREM sleep utilized, and demonstrated topographic changes in the count, amplitude, and distribution of slow waves, with frontal increases in slow wave amplitude, numbers of high amplitude waves, and amplitude/slopes of low amplitude waves resulting from partial sleep deprivation.  Topographic changes in slow waves occur across the course of partial sleep restriction and recovery.  These results demonstrate a homeostatic response to partial sleep loss in humans.
Object Oriented Drawing
Venue: CHI

We present Object Oriented Drawing, which replaces most WIMP UI with Attribute Objects. Attribute Objects embody the attributes of digital content as UI objects that can be manipulated through direct touch gestures. In the paper, the fundamental UI concepts are presented, including Attribute Objects, which may be moved, cloned, linked, and freely associated with drawing objects. Other functionalities, such as attribute level blending and undo, are also demonstrated. We developed a drawing application based on the presented concepts with simultaneous touch and pen input. An expert assessment of our application shows that direct physical manipulation of Attribute Objects enables a user to quickly perform interactions which were previously tedious, or even impossible, with a coherent and consistent interaction experience throughout the entire interface.
A self tuning system for dam behavior modeling based on evolving artificial neural networks
Venue: Adv. Eng. Softw.

We proposed a self tuning system for a dam behavior modeling.The system performs near real time generation of the optimized ANN dam model.Optimized model is adapted to currently available measurements and input parameters.The system is based on artificial neural networks and genetic algorithm.Case study showed advantages and disadvantages of this system compared to MLR/GA. Most of the existing methods for dam behavior modeling presuppose temporal immutability of the modeled structure and require a persistent set of input parameters. In real world applications, permanent structural changes and failures of measuring equipment can lead to a situation in which a selected model becomes unusable. Hence, the development of a system capable to automatically generate the most adequate dam model for a given situation is a necessity. In this paper, we present a self tuning system for dam behavior modeling based on artificial neural networks (ANN) optimized for given conditions using genetic algorithms (GA) Throughout an evolutionary process, the system performs near real time adjustment of ANN architecture according to currently active sensors and a present measurement dataset. The model was validated using the Grancarevo dam case study (at the Trebisnjica river located in the Republic of Srpska) where radial displacements of a point inside the dam structure have been modeled as a function of headwater, temperature, and ageing. The performance of the system was compared to the performance of an equivalent hybrid model based on multiple linear regression (MLR) and GA. The results of the analysis have shown that the ANN/GA hybrid can give rather better accuracy compared to the MLR/GA hybrid. On the other hand, the ANN/GA has shown higher computational demands and noticeable sensitivity to the temperature phase offset present at different geographical locations.
Characterizing, modelling and understanding the climate variability of the deep water formation in the North Western Mediterranean Sea
Venue: Climate Dynamics

Observing, modelling and understanding the climate scale variability of the deep water formation (DWF) in the North Western Mediterranean Sea remains today very challenging. In this study, we first characterize the interannual variability of this phenomenon by a thorough reanalysis of observations in order to establish reference time series. These quantitative indicators include 31 observed years for the yearly maximum mixed layer depth over the period 1980 2013 and a detailed multi indicator description of the period 2007 2013. Then a 1980 2013 hindcast simulation is performed with a fully coupled regional climate system model including the high resolution representation of the regional atmosphere, ocean, land surface and rivers. The simulation reproduces quantitatively well the mean behaviour and the large interannual variability of the DWF phenomenon. The model shows convection deeper than 1000 m in 2/3 of the modelled winters, a mean DWF rate equal to 0.35 Sv with maximum values of 1.7 (resp. 1.6) Sv in 2013 (resp.  Using the model results, the winter integrated buoyancy loss over the Gulf of Lions is identified as the primary driving factor of the DWF interannual variability and explains, alone, around 50 of its variance. It is itself explained by the occurrence of few stormy days during winter. At daily scale, the Atlantic ridge weather regime is identified as favourable to strong buoyancy losses and therefore DWF, whereas the positive phase of the North Atlantic oscillation is unfavourable. The driving role of the vertical stratification in autumn, a measure of the water column inhibition to mixing, has also been analyzed. Combining both driving factors allows to explain more than 70 of the interannual variance of the phenomenon and in particular the occurrence of the five strongest convective years of the model (1981, 1999, 2005, 2009, 2013) The model simulates qualitatively well the trends in the deep waters (warming, saltening, increase in the dense water volume, increase in the bottom water density) despite an underestimation of the salinity and density trends. These deep trends come from a heat and salt accumulation during the 1980s and the 1990s in the surface and intermediate layers of the Gulf of Lions before being transferred stepwise towards the deep layers when very convective years occur in 1999 and later. The salinity increase in the near Atlantic Ocean surface layers seems to be the external forcing that finally leads to these deep trends. In the future, our results may allow to better understand the behaviour of the DWF phenomenon in Mediterranean Sea simulations in hindcast, forecast, reanalysis or future climate change scenario modes. The robustness of the obtained results must be however confirmed in multi model studies.
Scales and dynamics of Submesoscale Coherent Vortices formed by deep convection in the northwestern Mediterranean Sea

Since 2010, an intense effort in the collection of in situ observations has been carried out in the northwestern Mediterranean Sea thanks to gliders, profiling floats, regular cruises, and mooring lines. This integrated observing system enabled a year to year monitoring of the deep waters formation that occurred in the Gulf of Lions area during four consecutive winters (2010 2013) Vortical structures remnant of wintertime deep vertical mixing events were regularly sampled by the different observing platforms. These are Submesoscale Coherent Vortices (SCVs) characterized by a small radius ~5 8 km) strong depth intensified orbital velocities ~10 20 cm s 1) with often a weak surface signature, high Rossby ~0.5) and Burger numbers O(0.5 1) Anticyclones transport convected waters resulting from intermediate ~300 m) to deep ~2000 m) vertical mixing. Cyclones are characterized by a 500 1000 m thick layer of weakly stratified deep waters (or bottom waters that cascaded from the shelf of the Gulf of Lions in 2012) extending down to the bottom of the ocean at ~2500 m. The formation of cyclonic eddies seems to be favored by bottom reaching convection occurring during the study period or cascading events reaching the abyssal plain. We confirm the prominent role of anticyclonic SCVs and shed light on the important role of cyclonic SCVs in the spreading of a significant amount ~30% of the newly formed deep waters away from the winter mixing areas. Since they can survive until the following winter, they can potentially have a great impact on the mixed layer deepening through a local preconditioning effect.
HyMeX SOP2: The field campaign dedicated to dense water formation in the northwestern Mediterranean

The HYdrological cycle in the Mediterranean Experiment (HyMeX) Special Observing Period 2 (SOP2, January 27 March 15, 2013) was dedicated to the study of dense water formation in the Gulf of Lion in the northwestern Mediterranean. This paper outlines the deep convection of winter 2012 2013 and the meteorological conditions that produced it. Alternating phases of mixing and restratification are related to periods of high and low heat losses, respectively. High resolution, realistic, three dimensional models are essential for assessing the intricacy of buoyancy fluxes, horizontal advection, and convective processes. At the submesoscale, vertical velocities resulting from symmetric instabilities of the density front bounding the convection zone are crucial for ventilating the deep ocean. Finally, concomitant atmospheric and oceanic data extracted from the comprehensive SOP2 data set highlight the rapid, coupled evolution of oceanic and atmospheric boundary layer characteristics during a strong wind event.
Knowledge Management Systems Support Seci Model of Knowledge Creating Process

Knowledge management (KM) has evolved from different disciplines and can be observed from various perspectives. The most important KM perspectives are personal communication and information technology (IT) Most IT companies have renamed their groupware and business intelligence products to fit the KM concept and to further develop them as knowledge management systems (KMS) In fact, they develop IT that can be used to implement or support KMS. Different IT can be used to develop successful KMS. The functionality and purpose of KMS are the most important criteria to define a system as KMS. The paper uses the SECI model of knowledge creating process (Nonaka Takeuchi, 1995) as a framework to propose suitable KMS and an important tool to manage the implementation of KM in contemporary organisations.
Production of Two Dimensional Nanomaterials via Liquid Based Direct Exfoliation.
Venue: Small

Tremendous efforts have been devoted to the synthesis and application of two dimensional (2D) nanomaterials due to their extraordinary and unique properties in electronics, photonics, catalysis, etc. upon exfoliation from their bulk counterparts. One of the greatest challenges that scientists are confronted with is how to produce large quantities of 2D nanomaterials of high quality in a commercially viable way. This review summarizes the state of the art of the production of 2D nanomaterials using liquid based direct exfoliation (LBE) a very promising and highly scalable wet approach for synthesizing high quality 2D nanomaterials in mild conditions. LBE is a collection of methods that directly exfoliates bulk layered materials into thin flakes of 2D nanomaterials in liquid media without any, or with a minimum degree of, chemical reactions, so as to maintain the high crystallinity of 2D nanomaterials. Different synthetic methods are categorized in the following, in which material characteristics including dispersion concentration, flake thickness, flake size and some applications are discussed in detail. At the end, we provide an overview of the advantages and disadvantages of such synthetic methods of LBE and propose future perspectives.
Perisaccadic Receptive Field Expansion in the Lateral Intraparietal Area
Venue: Neuron

Humans and monkeys have access to an accurate representation of visual space despite a constantly moving eye. One mechanism by which the brain accomplishes this is by remapping visual receptive fields around the time of a saccade. In this process a neuron can be excited by a probe stimulus in the current receptive field, and also simultaneously by a probe stimulus in the location that will be brought into the neuron's receptive field by the saccade (the future receptive field) even before saccade begins. Here we show that perisaccadic neuronal excitability is not limited to the current and future receptive fields but encompasses the entire region of visual space across which the current receptive field will be swept by the saccade. A computational model shows that this receptive field expansion is consistent with the propagation of a wave of activity across the cerebral cortex as saccade planning and remapping proceed.