nils-herrmann/clean_scirepeval huggingface dataset:
A novel energy efficient machine to compress inorganic residues in eco bricks as a sustainable construction strategy for low cost housing
Venue: 2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
Year: 2019

UNESCO has set the Sustainable Developing Goals (SDG) to promote good practices in different areas. The construction industry has evolving to the use of alternative and eco friendly materials, enhancing the sustainable growth of the cities. One of the main social problems in developing countries arises on the lack of housing at affordable prices, this is reflected as a result of a situation of poverty and exclusion of low income communities. The present work describes the development of a novel device for the compression of plastic waste in PET bottles, also denominated eco bricks. The device allows the compaction of plastic laminates and sachets inside bottles of different sizes. Based on a social context, the compactor device was designed for manual operation without the use of electric power, portability, ease of usage and safe operation. Another outcome of this technology is the educational strategy based on the manufacturing of eco bricks that promotes environmental responsibility that aims at reducing pollution and the indiscriminate and non responsible use of non renewable resources in urban and rural environments. The device was submitted for its consideration as an invention patent and therefore granted.
Measurement of the vortex spectrum in a vortex beam array without cuts and gluing of the wavefront.
Venue: Optics letters
Year: 2018

We present a new technique for measuring the squares of the amplitudes and phases of partial vortex beams in a complex beam array in real time. The technique is based on measuring the high order intensity moments and analyzing the solutions of a system of linear equations. Calibration measurements have shown that the measurement error at least for a beam array of 10 15 beams does not exceed 4%
Improving Accuracy of The Sentence Level Lexicon Based Sentiment Analysis Using Machine Learning
Year: 2021

Sentiment Analysis studies people's attitudes, opinions, evaluations, emotions, sentiments toward some entities such as products, topics, individuals, services, issues and classify them whether the opinion or evaluations inclines to that entities or not. It is getting more research focus in recent years due to its benefits for scientific and commercial purposes. This research aims at developing a better approach for sentiment analysis at the sentence level by using a combination of lexicon resources and a machine learning method. Moreover, as reviews data on the internet is unstructured and has much noise, this research uses different preprocessing techniques to clean the data before processing in different algorithms discussed in subsequent sections. Additionally, the lexicon building processes, how the lexicon is handled and combined with the machine learning algorithm for predicting sentiment is also discussed. In sentiment analysis, sentence's sentiment can be classified into three classes: positive sentiment, negative sentiment, or neutral. However, in this research work, we have excluded neutral sentiment for avoiding ambiguity and unnecessary complexity. The experiment results show that the proposed algorithm outperforms compared to the baseline machine learning algorithms. We have used four distinct datasets and different performance measures to check and validate the proposed method's robustness.
Following Their Every Move: An Investigation of Social Class Differences in College Pathways
Year: 2006

As more Americans enter college than ever before, their pathways through the broadly differentiated higher education system are changing. Movement in, out, and among institutions now characterizes students' attendance patterns half of all undergraduates who begin at a four year institution go on to attend at least one other college, and over one third take some time off from college after their initial enrollment. This study investigated whether there is social class variation in these patterns, with advantaged and disadvantaged students responding to new postsecondary choices by engaging in different pathways. National longitudinal data from postsecondary transcripts were used to follow students across schools and to examine the importance of family background and high school preparation in predicting forms of college attendance. The results demonstrate that students from lower socioeconomic backgrounds are more likely than are economically advantaged students (net of prior academic preparation) to follow pathways that are characterized by interrupted movement. Such pathways appear to be less effective routes to the timely completion of degrees. Thus, difference in how students attend college represent an additional layer of stratification in higher education.
PSIKOLOGI SOSIAL. Jilid 2
Year: 2012

Ilmu psikologi merupakan bidang ilmu yang mempelajari tentang kepribadian individu, sosiologi adalah bidang ilmu yang mempelajari tentang manusia dalam kelompok atau masyarakat, sementara itu ilmu yang mempelajari tentang cara manusia saling memengaruhi, berpikir, dan memandang pribadi lainnya dalam interaksi sehari hari adalah psikologi sosial. Para teoritikus telah melakukan penelitian dalam bidang yang cukup baru ini dan menghasilkan beragam teori yang memaparkan tentang persepsi setiap individu terhadap individu lainnya. Hasil penelitian tersebut tentu saja menjadikan kehidupan sosial sebagai objek penelitian utama karena di sanalah tercipta interaksi, sikap, perilaku, budaya, dan hal hal yang memengaruhi suatu hubungan sosial. FITUR FITUR BUKU Buku ini membahas kehidupan sosial dan ragam tingkah laku manusia yang membentuk kehidupan itu sendiri. Pembahasan yang ada mencakup konstruksi realitas sosial kehidupan yang memunculkan definisi awal bidang ilmu ini, nilai nilai manusia dalam kehidupan sosial, pemikiran dan pemaknaan terhadap kehidupan sosial, faktor faktor yang memengaruhi interaksi atau pembentukan pandangan terhadap individu, dan penerapan persepsi individu dalam bentuk sikap tertentu terhadap orang lain. Buku ini tentu saja menekankan pada teori teori yang muncul sejak awal hingga perkembangannya saat ini. Dalam setiap awal bab terdapat kasus singkat mengenai berbagai pemikiran atau isu tertentu tentang materi yang akan dibahas. Awal bab juga dilengkapi dengan ringkasan isi bab dan kutipan kutipan tertentu dari berbagai pemikir. Sebagai tambahan, setiap bab dilengkapi dengan kesimpulan yang memaparkan isi bab secara ringkas untuk memudahkan pembaca mengambil inti bahasan. Pada akhir bab juga terdapat penutup dan sumber informasi bagi pembaca untuk mengakses materi dalam buku pada beberapa sumber, seperti Online Learning Center dan daftar video yang bersangkutan dengan isi setiap bab
Malware Detection in Cloud Computing using an Image Visualization Technique
Venue: 2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)
Year: 2019

Malware creators generate new malicious software samples by making minor changes in previously generated samples. Here, similar features of the samples from the same malware family may be used in the detection of newly generated malicious software. In this paper, a new malware detection model based on the similarity of images is proposed. Malware detection is ensured by identifying the changes made in images. For the detection of the changes in malware images, a probabilistic framework is proposed. As a result of the experiments carried out on the two images of the program code from the same class, the proposed method accurately determines the changes made to these codes. The proposed model is tested on the Malimg dataset, and the model recognizes the changes in the software code with high accuracy.
Radial Waves Based Dispersion Analysis of the Body of Revolution FDTD Method
Venue: IEEE Transactions on Antennas and Propagation
Year: 2017

Detailed numerical dispersion analysis for the body of revolution finite difference time domain method is presented. Critical analysis is based on the proper cylindrically radial wave functions, which result in a usable numerical dispersion relation for all space, including the near vicinity of the axis of rotation. The corresponding stability criterion is also derived. The focus of dispersion analysis presented here is on numerical accuracy and stability limits within close proximity to the axis of rotation as they change with the rotational mode order. Simulation experiments are included to verify the accuracy of derived dispersion and stability formulas. An important result obtained is the confirmation and accurate prediction of relatively dense grids when modeling increasing rotational mode orders. Furthermore, the precise formulas derived here are critical to future precision implementations of auxiliary modeling tools, such as controlled source injection and absorbing boundary conditions.
Healthy Cities Phase V evaluation: further synthesizing realism.
Venue: Health promotion international
Year: 2015

In this article we reflect on the quality of a realist synthesis paradigm applied to the evaluation of Phase V of the WHO European Healthy Cities Network. The programmatic application of this approach has led to very high response rates and a wealth of important data. All articles in this Supplement report that cities in the network move from small scale, time limited projects predominantly focused on health lifestyles to the significant inclusion of policies and programmes on systems and values for good health governance. The evaluation team felt that, due to time and resource limitations, it was unable to fully exploit the potential of realist synthesis. In particular, the synthetic integration of different strategic foci of Phase V designation areas did not come to full fruition. We recommend better and more sustained integration of realist synthesis in the practice of Healthy Cities in future Phases.
ICY: An interface between COMSOL multiphysics and discrete element code YADE for the modelling of porous media
Venue: Comput. Geosci.
Year: 2019

The thermal, mechanical and hydrodynamic behaviour of porous media in geoscience applications is usually modelled through the finite element (FEM) or finite difference methods. These continuum models tend to perform poorly when modelling phenomena that are essentially dependent on behaviour at the particle scale or phenomena that are not accurately described by partial differential equations (PDE) such as internal erosion and filtration. The discrete nature of granular materials can be modelled through the discrete element method (DEM) However, in some instances, DEM models would benefit from an interface with continuum models to solve coupled PDEs or to model phenomena that occur at a different scale. This paper introduces ICY, an interface between COMSOL Multiphysics, a commercial finite element engine, and YADE, an open source discrete element code. The interface is centred on a JAVA class. It was verified using the simple example of a sphere falling in water according to Stokes' law. For this example, the drag force was calculated in COMSOL and body forces (gravity, buoyancy and drag) on the sphere were summed in YADE. The paper also presents an application example for the interface based on the modelling of internal erosion tests.
Dynamics Analysis of a Jet Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications
Year: 2020

AbstractThe autoignition dynamics of a three component surrogate jet fuel (66.2% n dodecane, 15.8% n proplylbenzene, 18.0% 1,3,5 trimethylcyclohexane) suitable for usage as Jet A 1 and RP 3 aviatio.
Parsimonious Representation of Nonlinear Dynamical Systems Through Manifold Learning: A Chemotaxis Case Study
Year: 2015

Nonlinear manifold learning algorithms, such as diffusion maps, have been fruitfully applied in recent years to the analysis of large and complex data sets. However, such algorithms still encounter challenges when faced with real data. One such challenge is the existence of "repeated eigendirections," which obscures the detection of the true dimensionality of the underlying manifold and arises when several embedding coordinates parametrize the same direction in the intrinsic geometry of the data set. We propose an algorithm, based on local linear regression, to automatically detect coordinates corresponding to repeated eigendirections. We construct a more parsimonious embedding using only the eigenvectors corresponding to unique eigendirections, and we show that this reduced diffusion maps embedding induces a metric which is equivalent to the standard diffusion distance. We first demonstrate the utility and flexibility of our approach on synthetic data sets. We then apply our algorithm to data collected from a stochastic model of cellular chemotaxis, where our approach for factoring out repeated eigendirections allows us to detect changes in dynamical behavior and the underlying intrinsic system dimensionality directly from data.
A study of two dwarf irregular galaxies with asymmetrical star formation distributions
Year: 2018

Two dwarf irregular galaxies DDO 187 and NGC 3738 exhibit a striking pattern of star formation: intense star formation is taking place in a large region occupying roughly half of the inner part of the optical galaxy. We use data on the HI distribution and kinematics and stellar images and colors to examine the properties of the environment in the high star formation rate (HSF) halves of the galaxies in comparison with the low star formation rate (LSF) halves. We find that the pressure and gas density are higher on the HSF sides by 30 70% In addition we find in both galaxies that the HI velocity fields exhibit significant deviations from ordered rotation and there are large regions of high velocity dispersion and multiple velocity components in the gas beyond the inner regions of the galaxies. The conditions in the HSF regions are likely the result of large scale external processes affecting the internal environment of the galaxies and enabling the current star formation there.
Winter Wheat Yield and DSSAT Model Evaluation in a Diverse Semi Arid Climate and Agronomic Practices
Venue: International Journal of Plant Production
Year: 2019

Because of human dependence on sustainable food production, it is needed to adopt agricultural production to climate change, and their consequences on associated socioeconomic issues. Crop modelling potentially can contribute to global food and nutrition security. Therefore, in this context DSSAT (decision support system for agro technology transfer) was validated for predicting growth and yield of wheat under a diverse semi arid climate (2 years with diverse climates) and different irrigation strategies, planting methods, and nitrogen rates. The irrigation strategies were ordinary furrow irrigation (OFI) and variable alternate furrow irrigation (VAFI) and the planting methods were on ridge planting (ORP) and in furrow planting (IFP) methods. The fertilizer levels were 0 (N0) 150 (N1) and 300 (N2) kg N ha 1 Results indicated that water stress and inappropriate weather especially during the stem elongation influences the grain yield remarkably without noticeable effect on straw yield. Furthermore, VAFI strategy did not impose any limitation on top dry matter N concentration in both years. Calibration of DSSAT showed that the model underestimated the actual evapotranspiration at the end of growing season (during spring with high temperature) and resulted in overestimating the soil water content at depths under 10 cm during this period of time. Since the potential transpiration has an important role in calculating the effect of water stress factor, the model overestimated slightly the maximum leaf area index (LAI) and consequently biomass and yield in water stress condition; however, overall, model could statistically simulate LAI (NRMSE 0.3, d 0.96, R 2 0.95) total dry matter (NRMSE 0.07, d 0.99, and R 2 96) and grain yield (NRMSE 0.13, d 0.96, and R 2 90) Model also could reasonably simulate the nitrogen components including the grain N concentration (NRMSE 0.05, d 0.95) above ground nitrogen uptake (NRMSE 0.11, d 0.99) and soil nitrate content (NRMSE 0.23, d 0.86) However, evaluating the model with data set from 2015 to 2016 indicated that the model could not simulate wheat yield and nitrogen components in validation year due to strong effects of diverse weather condition and water stress on grain yield and crop development.
Learning Local Quality Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks
Venue: IEEE Transactions on Multimedia
Year: 2020

The perceptual quality of stereoscopic images plays an essential role in the human perception of visual information. However, most available stereoscopic image quality assessment (SIQA) methods evaluate 3D visual experience using hand crafted features or shallow architectures, which cannot model the visual properties of stereo images well. In this paper, we use convolutional neural networks (CNNs) to learn deeper local quality aware structures for stereo images. With different inputs, two CNN models are designed for no reference SIQA tasks. The one column CNN model directly accepts a cyclopean view as the input, and the three column CNN model jointly considers the cyclopean, left and right views as CNN inputs. The two SIQA frameworks share the same implementation approach: First, to overcome the obstacle of limited SIQA datasets, we accept image patches that have been cropped from corresponding stereopairs as inputs for local quality sensitive feature extraction. Next, a local feature selection algorithm is used to remove related features on non salient patches, which could cause large prediction errors. Finally, the reserved local visual structures of salient regions are aggregated into a final quality score in an end to end manner. Experimental results on three public SIQA databases demonstrate that our method outperforms most state of the art no reference (NR) SIQA methods. The results of a cross database experiment also show the robustness and generality of the proposed method.
A Laboratory Investigation of Soil Stabilization Using Enzyme and Alkali Activated Ground Granulated Blast Furnace Slag
Year: 2018

Development and use of non traditional stabilizers such as enzyme and alkali activated ground granulated blast furnace slag (GGBS) for soil stabilization helps to reduce the cost and the detrimental effects on the environment. The objective of this study is to investigate the effectiveness of alkali activated GGBS and enzyme as compared to ordinary Portland cement (OPC) on the soil collected from Tilda region of Chhattisgarh, India. Geopolymers are alkali alumino silicates produced when combining a solid alumina silicate with an aqueous alkali hydroxide or silicate solution. Various dosages of the selected stabilizers have been used and evaluated for the effects on optimum moisture content (OMC) maximum dry density, plasticity index, unconfined compressive strength (UCS) and shear strength parameters. Effect of curing period has also been studied. Microstructural changes of the stabilized soils show aggregation of particles. Significant improvement in properties of soil is observed with the addition of stabilizers leading to an increase in OMC, UCS and shear strength parameters. It is observed that the cohesion of soil sample increases significantly with the addition of stabilizers whereas there is a marginal change in angle of internal friction. Thus, the findings recommend the use of non conventional stabilizer such as alkali activated GGBS and enzyme as suitable and environmental friendly as compared to OPC for soil stabilization.
A Systematic Review About Activities Recommendation in Workflows
Year: 2015

Workflow management systems enable users without deep knowledge in computing connecting activities to build new software graphically. To harness the reuse in these systems it is necessary to know a large number of activities. In order to minimize this need there are several proposals for workflows activities recommendation or automatic composition. This paper aims to identify the techniques used to recommend activities in workflows. For this, 20 papers were selected through a systematic review, the methods found were analyzed to identify trends. It was found a tendency to use methods based on frequency, data provenance and information dependency. Another trend was the lack of formal and well defined methodology to validate results.
PERCEPTION OF QUALITY OF LIFE AMONG COMMUNITY IN SELANGOR
Year: 2018

The quality of life (QOL) is a subjective matter that diversely defined by scholars. Since 1930s researchers from various fields have expressed their interest in the definition of QOL especially on the methods of investigation and measurement of QOL. Over more than four decades, Malaysia has made remarkable achievements regarding its economic growth as well as its socio economic development. Numerous factors have been identified that may influence the quality of life of the people according to their personal preferences. For example, the perception or the satisfaction on the quality of an engineer may differ from an individual working as a teacher. Hence, how an individual measures their own quality of life can be different between another. The definitions and the method of assessing quality of life among communities are numerous and varied. This article assessed the perception of respondents on the quality of life among communities living in Selangor. The research objectives are to identify the current living condition in Selangor and to assess the level of satisfaction towards the living condition by the respondents living in Selangor. The study used quantitative research method where 500 respondents living in Selangor were surveyed and the questionnaire for the study comprises of questions on the satisfaction of living condition within the respondent areas. The preliminary analysis identified that the perception on the quality of life are significantly influenced by the respondent's socio economic background. Recommendation such as improvement in the physical conditions and continuous maintenance of the surrounding area within the neighbourhood were highlighted by the community as methods to improve the current living standard towards a better quality of life of the communities.