nils-herrmann/clean_scirepeval huggingface dataset:
Evaluation of the frequency of sister chromatid exchanges and micronuclei in children with type 1 diabetes mellitus

BackgroundOxidative stress induced DNA damage seems to play a role in the pathogenesis of type 1 diabetes mellitus (T1DM) and its complications. The sister chromatid exchange (SCE) and micronucleus (MN) assays are used to evaluate the presence and extent of chromosomal damage. We aimed in this study to evaluate diabetic children with associated genotoxicity using two cytogenetic assay systems (SCE and MN) SCE and MN frequencies were assessed in cultured lymphocytes from diabetic children, and this was correlated with some parameters of T1DM. Participants and methodsThe study was conducted on 66 participants; the patient group consisted of 51 children with T1DM. Fifteen healthy children of same age and sex distribution served as controls. Full history taking, thorough clinical examination, and relevant laboratory investigations were performed for participants, including fasting and postprandial blood glucose, as well as glycosylated hemoglobin (HbA1c) SCE and MN tests were carried out on lymphocyte cell cultures for all participants. ResultsThe mean age of type 1 diabetic children was 10.77+ 3.46 years, with a mean duration of diabetes of 3.78+ 3.88 years. Patients showed a higher frequency of SCE and MN compared with controls (5.93+ 2.06 and 3.92+ 1.25, and 27.10+ 17.76 and 3.85+ 5.19, respectively; P<0.001 and P<0.001, respectively) Our results showed a positive nonsignificant correlation of duration of the disease with MN and SCE, a positive significant correlation between SCE and postprandial blood glucose levels (r=0.326 and P=0.04) and a positive nonsignificant correlation between SCE and HbA1c. ConclusionOur study revealed a statistically significant difference in MN and SCE frequencies between the patient and control groups, and SCE may be a more sensitive early parameter for genomic instability. An increased level of SCE and MN can be a common cytogenetic marker in children with T1DM.
Dancing with Ideology: Grammatical Metaphor and Identity Presentation in Translation

Cet article commence par revenir sur un discours tres mediatise de Hu Jintao prononce au cours de son mandat de president en 2008 et dans lequel il employait l'expression argotique chinoise [nous] bu zheteng que le gouvernement chinois prefera ne pas traduire malgre les traductions existantes et les diverses options proposees par les dictionnaires chinois anglais. Puis, cet article cherche a comprendre, sous l'angle de la metaphore grammaticale, pourquoi et comment cette expression, si pragmatique et denuee d'arriere pensee que fut son usage, a pu susciter toute une serie de debats sur le plan ideologique au sujet de sa traduction. Pour ce faire, cet article reexamine le concept de metaphore grammaticale, notion cle de la linguistique systemique fonctionnelle pour la description de l'evolution du langage de la congruence vers la metaphore. L'observation en traduction de cet element de discours nous permet d'avancer que differents moyens textuels de presentation/dissimulation d'une participation humaine dans la transitivite sont cruciaux pour rendre compte de la fonction discursive des metaphores grammaticales et pour distinguer le chainon entre expressions metaphoriques et expressions congruentes. A la lumiere de la dissimulation de la participation humaine dans le processus de transitivite, cet article remarque egalement que c'est l'association du vague auto allusif nous et des actions/situations defavorables, c'est a dire (causant du) desordre, suggerees par le terme zheteng qui a rendu une traduction explicite d'un point de vue semantique ideologiquement moins souhaitable. Aussi le choix de ne pas traduire semble t il etre un cas de manoeuvre discursive plutot qu'un signe d'impasse semantique. Afin de confirmer notre hypothese theorique, l'article fait le lien entre ce cas et d'autres elements de discours politique presentant des similitudes sur la scene politique internationale et demontre comment, la conscience fonctionnelle des metaphores grammaticales aidant, il est possible de concevoir une traduction mieux pensee en termes de sensibilite pour identifier la presentation/dissimulation dans le discours.
Critical Success Factors of Implementing Green Lean Six Sigma for Developing a Specific Framework

Research has shown that implementation of Green and Lean Six Sigma make a positive impact on economic, environmental and social performance. Many organizations have already started to integrate the two approaches. However, evidence suggests that these organizations find their implementation challenging, and in many cases they are unsuccessful. The purpose of this paper is to present an analysis of research on Green Lean Six Sigma focusing on success factors in its implementation through a systematic literature review combined with the lesson learned from authors' experiences and verified by a survey of organizations. The findings have led to the identification of five success factors and their ranking according to the organizations that had implemented this initiative. The findings also have led to development of framework for implementing Green Lean Six Sigma. Both academicians and professionals will find this paper useful, as it explore critical success factors for successful Green Lean Six Sigma implementation and provides a concise description of each success factors that will be very helpful for organizations to understand and implement Green Lean Six Sigma.  Lean Six Sigma; Sustainability; Green; Critical Success factors
Defining Issues In English Language Teaching

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Energy harvest power MEMS devices for future sensor network society: Stochastic resonance meets TENG device
Venue: 2016 IEEE CPMT Symposium Japan (ICSJ)

In 2012, a novel energy harvesting approach was proposed and named TENG (Triboelectric Nano Generator) which is based on the combination of electrification effect and electrostatic induction. Due to remarkable properties, such as high performance and the use of environmentally friendly materials, TENG has raised increasing interest. Several techniques have been developed to enhance the power density, including structural optimization, operation mechanism, surface texturing and hybrid TENG. Recently, a power density of up to a 19 mW/cm2 has been reached with an output power larger than 1.5 W. Herein, we propose a very simple and cost efficient approach to fabricate high performance TENG based on paper and graphite pencil. In order for TEG to make an impact in real life applications, further improvements are needed in particular in the choice of the pair of electrification materials beyond the conventional materials. The materials used to create the TEG system should ideally be designed to be wearable on the body (or even be implantable) and should therefore be flexible, bio friendly and biodegradable, and ultimately transparent. Here, not only a paper, a promising material of silk fibroin is successfully utilized to construct transparent TEGs. Several technical challenges have been successfully addressed and are shown. On the other hands, we propose a novel device, which can utilize ambient vibration with wideband and low frequencies. As the power sources of wireless sensors, batteries are mainly utilized until now. These days, devices of energy harvesting become more focused. Energy harvesting is a methodology of scavenging power from ambient energy sources such as solar, thermal and vibration without the need for batteries. Due to high stiffness of piezo electric energy harvesters, resonant frequency of the piezo electric energy harvesters tends to be much higher than ambient vibrational frequency. To solve these problems, the proposed energy harvesting device is to utilize a stochastic resonance. This paper reports a new hybrid energy harvesting approach which combines triboelectricity and piezoelectricity based on low frequency stochastic resonance. A vibration configuration was well designed to enhance the conversion efficiency of mechanical energy to electricity via the stochastic vibration mechanism. Furthermore, the electric output performance of the proposed generator is significantly strengthened by adding triboelectric effects to bi stable structured energy harvester, showing attractive potential for generating high output by harvesting low frequency energy, typically the living environmental energy like the body motion of human.
A Game Theoretical Approach for Green Power Allocation in Energy Harvesting Device to Device Communications
Venue: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)

In this paper, we address the energy efficient power allocation problem for energy harvesting device to device (EH D2D) communications, which enable user equipments (UEs) to harvest energy from ambient environments. The challenge is how to optimize energy efficiency (EE) with the intermittent and dynamic characteristics of energy arrivals. We model the offline power allocation problem as a non cooperative game over a finite horizon. Various practical constraints such as circuit power consumption, energy causality, battery capacity, quality of service (QoS) and maximum transmission power have been taken into consideration. A low complexity iterative power allocation algorithm is developed by exploiting properties of non linear fractional programming and Lagrange dual decomposition. Simulation results demonstrate that the proposed algorithm outperforms the power greedy algorithm by 55% and 84% for D2D and cellular UEs, respectively.
A concept design of a small ocean vehicle with flap foils to harvest wave energy
Venue: OCEANS 2016 Shanghai

Power supply is an important inhibiting factor of autonomous operation of small ocean vehicles, wave energy vibration harvest method is a viable solution. The usual vibration energy harvest device is excited by its housing frame driven by external oscillation, subject to limited vehicle geometry size, and the low frequency of ocean waves, electrical power generated is very limited. A concept vehicle design with novel energy harvest method is proposed in this paper, with a couple of flap foils to harvest wave energy. The flap foils are forced to rotate when ocean waves pass by, and transmit their rotation movement and force directly to the energy harvest element. Theoretical analysis and numerical computation are carried out to find the optimal parameters to generate maximum electricity, results show that this flap foil method can greatly increase the harvest capability.
Tunable MEMS piezoelectric energy harvesting device

This work is focused on low frequency <300 Hz) vibrations due to the fact that many industrial and commercial devices operate at those frequencies. The aim of the present work is to model by numerical simulation a Si cantilever beam with an AlN piezoelectric layer concept that tunes its resonant frequency post processing, while reducing the separation of the first two modes of resonance in order to broaden its quality factor and, therefore, to harvest more environmental energy. This paper investigates by numerical simulation the influence of perforating sections of the Si beam has on the resonant frequencies of the cantilever. The authors have found that the distance between these modes is decreased by 30 when 0.002 mm3 is extracted in a specific location of the initial structure. This difference between modes can be reduced above 80 if a volume of 0.004 mm3 in a specific part of the initial design is subtracted. In these conditions, the first mode is decreased about 20 the initial value and the second mode about 60
A multifunctional device as both strain sensor and energy harvester for structural health monitoring
Venue: 2016 IEEE SENSORS

In the context of wireless sensors (WSs) autonomous in energy, this paper presents a single macro fiber composite (MFC) piezoelectric transducer which is used for the first time as a multifunctional device as both sensor and energy harvester in a time multiplexing manner. The MFC is used as an energy harvester to charge up a storage capacitor. When there is sufficient energy, the WS is powered up and the MFC is used as a sensor. A circuit was implemented to harvest energy from the MFC and use the MFC as a sensor. Experiment validation shows that the MFC has an accuracy of up to 97 as sensor and the circuit harvests energy from the MFC at its maximum power point (MPP) with up to 98 efficiency.
Use of steel slag in construction of flexible pavement

The large amount of Industrial wastes as increased year by year and disposal becomes a very serious problem. It is necessary to utilize the steel slag waste affectively with technical development in each field. Commonly murrum soil has been used for construction of all categories of roads in our country. Although murrum is a good construction material, due to scarcity they increase the construction cost at some parts of the country several types of murrum soils are found to be unsuitable for road construction in view of higher finer fraction and excessive plasticity properties. Such as used industrial material like steel slag in construction of road pavement. Its disposal causing severe health and environmental hazards in road construction industries is gradually gaining significant importance in India considering the disposal, environmental problems and gradual depletion of natural resources like soil and aggregates. Steel slag is a waste material generated as a by product during the manufacturing of steel from steel industries. The quantity of generation is around 24 lacs MT per year from (Ref.CRRI 2010) different steel industries in the India. Presently, it has no applications and dumped haphazardly on the costly land available near the plants. In this study, a typical steel slag was collected from an M/s Jindal Steel Iindustry Pvt.Ltd Sinnar MIDC, (M.S) in India and its feasibility for use in different layers of road construction was investigated. To improve its Geotechnical engineering properties, the Steel Slag material was mechanically stabilized with locally available soil in the range of 5 25% Geotechnical parameters of these stabilized mixes were evaluated to investigate their suitability in the construction of different layers of road Technical specification of steel slag is developed for utilization in the construction of embankment, sub grade and sub base layer of Flexible pavement.  test, CBR test, Index Properties, Moisture Absorption test.
A STUDY ON EFFECT OF WASTE CERAMIC TILES IN FLEXIBLE PAVEMENT

now a days disposal of different wastes produced from different Industries is a great problem. These materials pose environmental pollution in the nearby locality because many of them are non biodegradable. In recent years, applications of industrial wastes have been considered in road construction with great interest in many industrialized and developing countries. The use of these materials in road making is based on technical, economic, and ecological criteria. India has a large network of industries located in different parts of the country and many more are planned for the near future. Several million metric tons industrial wastes are produced in these establishments. If these materials can be suitably utilized in highway construction, the pollution and disposal problems may be partly reduced. The possible use of these materials should be developed for construction of low volume roads in different parts of our country. A review of Industrial ceramic tiles waste for use in the construction of highway has been discussed in this paper. Keywordsceramic waste, coarse aggregate, laboratory test.
A Survey on Extracting Hidden Patterns within Road Accident Data using Machine Learning Techniques

Road Accidents may not be stopped altogether, but can be reduced. Driver emotions such as sad, happy, anger etc can be one reason for accidents. At the same time environment conditions such as weather, traffic on the road, load in the vehicle, type of road, health condition of driver, speed etc can also be the reasons for accidents. Hidden patterns in accidents can be extracted so as to find the common features between accidents. This paper presents the literature survey and the results of the framework from the research study on road accident data of major national highways that pass through Krishna district (18 stations) for the year 2013 by applying machine learning techniques into analysis. Results showed that the selected machine learning techniques are able to extract hidden patterns from the data. Density histograms are used for accident data visualization. General Terms Machine Learning Techniques
Validation of the direct and inferential mediation (DIME) model of reading comprehension in grades 7 through 12

This study evaluated the direct and inferential mediation (DIME) model of reading comprehension (Cromley Azevedo, 2007) in a large n 1196) and diverse (grades 7 12) sample. Multi indicator latent variables were used to measure six primary constructs: knowledge, vocabulary, word reading, strategies, inference, and reading comprehension. Results corroborated prior research when similar methods were used, but departed from prior findings when measurement error and shared method variance between the predictors and the reading comprehension outcomes (method bias) were controlled. Results generalized across middle and high school, and component skills of reading accounted for virtually all of the systematic variance in reading comprehension. Importantly, controlling method bias diminished the importance of knowledge and vocabulary, and increased the importance of inferencing. Mediated effects of knowledge and vocabulary through inference making were also found. The present study provided a stronger and more generalizable formulation of the DIME model than prior research, and highlighted limitations of using reading based measures of predictors in component skills models of reading comprehension.
Bidirectional Relations Between Text Reading Prosody and Reading Comprehension in the Upper Primary School Grades: A Longitudinal Perspective
Venue: Scientific studies of reading the official journal of the Society for the Scientific Study of Reading

The purpose of this study was to examine the directionality of the relationship between text reading prosody and reading comprehension in the upper grades of primary school. We compared 3 theoretical possibilities: Two unidirectional relations from text reading prosody to reading comprehension and from reading comprehension to text reading prosody and a bidirectional relation between text reading prosody and reading comprehension. Further, we controlled for autoregressive effects and included decoding efficiency as a measure of general reading skill. Participants were 99 Dutch children, followed longitudinally, from 4th to 6th grade. Structural equation modeling showed that the bidirectional relation provided the best fitting model. In 5th grade, text reading prosody was related to prior decoding and reading comprehension, whereas in 6th grade, reading comprehension was related to prior text reading prosody. As such, the results suggest that the relation between text reading prosody and reading comprehension is reciprocal but dependent on grade level.
How storage and executive functions contribute to children's reading comprehension

In the current study we investigated the contribution of storage and separate measures of executive functions to reading comprehension in Dutch 5th graders, while controlling for word recognition and vocabulary. In addition we investigated the relationship between this model and working memory as assessed with a listening span task which reflects an integrated measure of both storage and executive functions. Regression analysis revealed that word recognition, vocabulary, cognitive flexibility and listening span task performance contributed directly to reading comprehension. Adding the listening span task to the model led to a change in the beta values of storage, inhibition and cognitive flexibility, indicating that these variables shared variance with listening span task performance. A second regression analysis confirmed this finding: storage, inhibition and cognitive flexibility contributed to listening span task performance, and hence indirectly to reading comprehension. Together, these findings highlight the contribution of storage and executive functions to children's reading comprehension.
Preschool morphological training produces long term improvements in reading comprehension
Venue: Reading and writing

We evaluated the effect of morphological awareness training delivered in preschool (8 months before school entry) on reading ability at the end of grade 1 and 5 years later (in Grade 6) In preschool, one group of children received morphological awareness training, while a second group received phonological awareness training. A control group followed the ordinary preschool curriculum. The comparison between each training condition and the control condition is quasi experimental, whereas the comparison between the morphological and phonological treatments is randomized at group level. In Grade 1 children in the morphological awareness training group had significantly higher scores than children in the control group on both word reading and text reading measures, but no differences were found between the experimental groups. In Grade 6 children in the morphological awareness training group had significantly higher scores compared with the control group on a latent measure of reading comprehension, whereas the children in the phonological awareness training group did not differ from the controls; although the experimental groups did not differ significantly from each other. The results suggest that early training in morphological awareness can have long term effects on children's literacy skills.
Study on the key technology of spectral reflectance reconstruction based on the weighted measurement matrix

In order to reconstruct the spectral reflectance accurately, a new method of spectral reflectance reconstruction based on the weighted measurement matrix is proposed in this paper. By optimizing the measurement matrix between spectral reflectance and the response of a camera, the method can improve the reconstruction accuracy. The new method is a combination of three kinds of common reflectance reconstruction methods, which are the pseudo inverse method, the Wiener estimation method and the principal component analysis method. The new measurement matrix can be achieved after weighting the measurement matrices of these three methods to reconstruct the spectral reflectance. What is more, the weights of the three methods can be obtained by minimizing the color difference. Results show that the CIE1976 color difference and RMSE value of the weighted reconstructed spectra are less than that of three common reconstruction methods. The spectral matching accuracy GFC of the method is higher than 0.99 and its reconstruction accuracy is high.