nils-herrmann/clean_scirepeval huggingface dataset:
ivga: A fast force directed method for interactive visualization of complex networks
Venue: J. Comput. Sci.
Year: 2017

Complex networks play a very important role in various fields of science as data structures, which aggregate information about mutual relationships between numerous objects. The structural properties of these large graphs can be scrutinized throughout their interactive visualization. However, visual analysis of complex networks consisting of |V| 106+ vertices represents a great challenge for nowadays computer systems both from computational and storage perspective. Therefore, the existing graph drawing methods involving greater than O(|V| time and space complexity cannot be regarded as promising tools in the advent of the Big Data era. We present here a new and very fast graph drawing method with O(|V| time and space complexity ivga (interactive visualization of graphs) We evaluate its usefulness and performance by testing ivga on the large complex networks from the Stanford Large Network Dataset Collection. We demonstrate that ivga allows for very fast interactive visualization of large graphs consisting of up to a few million vertices on a regular laptop what makes it very competitive to other state of art graph drawing methods. Particularly, we recommend ivga method for interactive visualization of large non planar complex networks such as small world and scale free social networks. The main concept of ivga can be seriously considered in developing tools for visualization and analysis of really huge networks, with billions of vertices and edges, on Big Data systems.
Axial Compressive Behavior of Steel Equal Angle Section Reinforced Square High Strength Concrete Column
Year: 2018

A new method of reinforcing concrete columns with steel equal angle (SEA) sections has been investigated. A total of 12 square high strength concrete (HSC) column specimens (with 210 mm [8.26 in. sides and 600 mm [23.62 in. height) reinforced longitudinally with either steel bars or SEA sections were cast and tested. The lateral tie spacing of specimens varied from 50 to 400 mm (1.96 to 15.74 in. The influences of the type of longitudinal reinforcement and the spacing of lateral ties on the behavior of HSC specimens under axial compression were investigated. Experimental results showed that the use of the SEA sections as longitudinal reinforcements in HSC column specimens led to significant improvements in the axial load carrying capacity and ductility compared to the corresponding HSC column specimens reinforced longitudinally with steel bars. Disciplines Engineering Science and Technology Studies Publication Details Ibrahim, A. A. Sheikh, M. Hadi, M. N. S. (2018) Axial Compressive Behavior of Steel Equal Angle Section Reinforced Square High Strength Concrete Column. Aci Structural Journal, 115 (5) 1431 1442.  https:/ro.uow.edu.au/eispapers1/2712
Seeding alternatives back to the land migration and alternative agro food networks in Northern Italy
Year: 2012

This thesis explores 'back to the land' migration in Northern Italy with reference to the social, political and economic networks that sustain it. 'Back to the land' generally refers to the adoption of agriculture as a full time vocation by people who have come from non agricultural lifestyles. For categorical clarity in this project, research participants were limited to those from predominantly urban backgrounds, most of whom worked in service sector jobs before moving to the countryside. Many geographical studies have examined urban to rural migration but these have focused almost primarily on migrants who are not engaged in agriculture. This research traces theorisations of urban to rural migration within the discipline, situating back to the land as part of broader counterculture practices originating in the 1960s. Many current expressions of back to the land, however, reveal an attempt to address contemporary social, environmental and economic concerns, representing both a trajectory and an evolution from 1960s origins. Empirical research was conducted in four northern regions of Italy, looking specifically at urban to rural migrants engaged in organic or other 'alternative' forms of agriculture. Three simple questions informed the methodology and theoretical perspectives employed: 1) Why do people go back to the land? 2) How do they obtain the requisite skills to become competent farmers? 3) How do they make this lifestyle economically sustainable? Answering these questions demands attention to how new farmers are inspired, supported and sustained by alternative agro food networks (AAFNs) The research therefore explores the reciprocal relationships between back to the landers and AAFNs, examining how new farmers can stimulate and influence AAFNs in addition to receiving their support. These issues are explored through interviews with back to the landers and institutional representatives of AAFNs, as well participant observation in alternative agriculture projects. Particular attention is given to the organisations Slow Food, Worldwide Opportunities on Organic Farms (WWOOF) and Associazione per Esperienze (APE) primarily with regard to their respective roles in enabling back to the land migration.
Fear, xenophobia and collectivism as predictors of well being during Coronavirus disease 2019: An empirical study from India
Venue: The International journal of social psychiatry
Year: 2020

The Coronavirus disease 2019 (COVID 19) has emerged as a global health threat. Biological disasters like this can generate immense prejudice, xenophobia, stigma and othering, all of which have adverse consequences on health and well being. In a country as diverse and populous in India, such crisis can trigger communalism and mutual blame. Keeping this in context, this study explored the relationship between well being and xenophobic attitudes towards Muslims, collectivism and fear of COVID 19 in India.  The study was carried out on 600 non Islamic Indians (231 males, 366 females and 3 others; mean age: 38.76 years) using convenience sampling. An online survey containing Fear of Coronavirus scale, Warwick Edinburgh Mental Well Being Scale and Collectivism Scale was used. Xenophobia was assessed using two scales: generalized prejudice towards Muslims and specific xenophobic tendencies towards Muslims during COVID 19. The data were analysed using correlational methods and multiple regression.  The findings showed that positively significant relationship exists between well being and age as well as with collectivism, while an inversely significant relationship between well being and fear of COVID 19 was found. The results of the multiple regression analysis shows that fear of COVID 19, age, collectivism and generalized xenophobia, in the order of their importance, together contributed to nearly 20% of variance in well being.  The findings are reflective of the importance of collectivism in enhancing well being in these times of uncertainty. Xenophobia, one of the common offshoots of pandemics, can also harm the overall well being. Implications are discussed in the light of India's diverse socio religious background and global context.
The Monitoring System of Aquaculture Environment
Venue: 2020 13th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2020

According to the needs of the aquaculture industry, this article proposes to design an aquaculture environment monitoring system for collecting temperature, PH, and dissolved oxygen parameters that affect fishery water quality environment, real time tracking and monitoring, remote transmission and abnormal handling, etc. The system has played an important role in the application of fish breeding industry, providing technical support for the development of the breeding industry, and bringing greater economic profits to farmers.
Policy Synergy Research on the Development of Cross border E Commerce in China
Venue: Proceedings of Business and Economic Studies
Year: 2019

The development of cross border e commerce cannot be separated from the support of policy, and policy formulation must conform to the law of cross border e commerce development, which needs to understand the theory of cross border e commerce development, clarify the factors and mechanisms affecting the development of cross border e commerce, on this basis, the policy formulated can have synergies, but also for the development of e commerce to play a better role. On the basis of theoretical discussion, this paper puts forward the problem of the synergy of policy formulation.
Review of Domestic and International Studies on the Third Language Acquisition
Year: 2011

The research on the third language acquisition involves two fields: first,the factors that affect the third language acquisition such as negative transfer,cross language distance,learning motivation and strategies,and acceptability of the third language culture;second,the factors that facilitate acquisition such as positive transfer,code switch,pluralistic cultural values,and the development of teaching faculty.It is found that theories weigh more than empirical studies in previous research.It is argued that more efforts should be made in empirical studies on the complex relationships between L1,L2 and L3 and the application of research achievement to China's minority areas' foreign language teaching faculty development.
Machine Learning Instrument Variables for Causal Inference
Venue: EC
Year: 2020

Instrumental variables (IVs) are a commonly used technique for causal inference from observational data. However, in the recent years, the use of the IV method has come under much criticism across multiple disciplines (e.g.  and [6] in Economics;  in Marketing;   and  in Finance) This is because, in practice, the variation induced by IVs can be limited, which yields imprecise or biased estimates of causal effects and renders the approach ineffective for policy decisions. In this paper, we confront these challenges by formulating the problem of constructing instrumental variables from candidate exogenous information as a (supervised) machine learning problem that is amenable to the learning approach. We extend the standard learning framework to develop an algorithm we term MLIV (machine learned instrumental variables) which allows training of instruments and causal inference to be simultaneously performed from sample data. We provide formal asymptotic theory and show O(n) consistency and asymptotic normality for machine learned instrument variables. We illustrate the effectiveness of the MLIVs in empirical environments consisting of both linear and nonlinear model parameters. Simulations and application to real world data demonstrate that the algorithm is highly effective and significantly improves the performance of causal inference from observational data. The complete version of this paper can be found at https:/ssrn.com/abstract=3352957.
Tuning operating temperature of BaSnO3 gas sensor for reducing and oxidizing gases
Year: 2018

Barium stannate (BaSnO3) was prepared by solid state ceramic route. The crystalline phase of the prepared sample was confirmed by X Ray Diffraction (XRD) pattern. Gas sensing behaviour of barium stannate was investigated for reducing and oxidizing gases; such as butane, ethanol, CO and NO2; from 5 ppm to 50 ppm levels of concentration. Barium stannate sensors were optimized for highest responsiveness by varying operating temperature between 270 degC to 550 degC. Its highest response was observed for ethanol at 300degC. The gas sensing response of ethanol was better than other gases at all the operating temperatures. Such studies in conjunction with gas sensing tests can be used for setting the optimum operating temperatures and can be used for low concentration ethanol sensing applications.
Experimental study of tsunami like waves generated with a vertical release technique on dry and wet beds
Year: 2018

Tsunamis, impulse waves, and dam failures are disasters that challenge humanity, often leading to massive casualties and extreme economic losses. The highly unsteady flow conditions generated by such events are often in the form of turbulent bores. The purpose of this study was to investigate and validate a new generation system for bores propagating over dry and wet bed conditions. There are multiple techniques to generate such waves experimentally, and the study focused on the generation of tsunami like inundation conditions through the vertical release of a water volume. A detailed methodology to characterize the generated waves hydraulically, in terms of their wave heights and flow velocities, is presented, and good agreement with the classical dam break case for both dry bed surges and wet bed bores was demonstrated. Because of the importance of estimating the impact forces induced by such waves, particular attention was given to the wavefront celerity and the velocity profiles measured behind the wavefront; these were found in agreement with Prandtl's power law for open channel flows, and in depth measurements allowed for the definition of an expression to estimate flow deceleration behind the wavefront. Along with considerations of the Froude number and momentum, this paper provides relevant information to assist engineers in designing safer infrastructures in areas prone to such extreme loading.
Studi Keterpakaian Jurnal Sebagai Bahan Rujukan Dalam Penyusunan Tesis Pasca Sarjana UGM Bidang Teknologi Pertanian Tahun 2005 2006
Year: 2020

Jurnal merupakan publikasi ilmiah yang menyajikan informasi ilmiah terbaru dan memiliki peran strategis dalam pengembangan dan penyebaran ilmu pengetahuan. Publikasi ini menyampaikan hasil hasil penelitian, ringkasan karya akademik, maupun pemikiran ilmiah yang disampaikan dalam berbagai pertemuan ilmiah. Informasi ilmiah ini sangat diperlukan para ilmuwan, peneliti, maupun pembuat kebijakan dalam rangka pengembangan bidang, melakukan penelitian selanjutnya atau untuk menentukan kebijakan. Dalam penulisan karya akademik diperlukan rujukan pada artikel artikel ilmiah yang dimuat oleh jurnal, karena dapat dijadikan landasan teori dalam penulisan karya ilmiah. Namun demikian karena berbagai kendala ternyata tidak semua karya kademik dalam hal ini tesis memanfaatkan jurnal sebagai acuan utama
Keratinolytic abilities of Micrococcus luteus from poultry waste
Venue: Brazilian journal of microbiology [publication of the Brazilian Society for Microbiology]
Year: 2015

Keratinolytic microorganisms have become the subject of scientific interest due to their ability to biosynthesize specific keratinases and their prospective application in keratinic waste management. Among several bacterial classes, actinobacteria remain one of the most important sources of keratin degrading strains, however members of the Micrococcaceae family are rarely scrutinized in regard to their applicatory keratinolytic potential. The tested Micrococcus sp. B1pz isolate from poultry feather waste was identified as M. luteus. The strain, grown in the medium with 1 2% chicken feathers and a yeast extract supplement, produced keratinases of 32 KU and lower level of proteases, 6 PU. It was capable to effectively decompose feathers or "soft" keratin of stratum corneum, in contrast to other "hard" hair type keratins. The produced keratinolytic enzymes were mainly a combination of alkaline serine or thiol proteases, active at the optimum pH 9.4, 55 degC. Four main protease fractions of 62, 185, 139 and 229 kDa were identified in the crude culture fluid. The research on the auxiliary role of reducing factors revealed that reducing sulfur compounds could be applied in keratinolysis enhancement during enzymatic digestion of keratin, rather than in culture conditions. The presented M. luteus isolate exhibits a significant keratinolytic potential, which determines its feasible applicatory capacity towards biodegradation of poultry by products or formulation of keratin based feed components.
Methodology of optimum unit commitment of energy systems with renewable energy sources
Year: 2020

One of the promising ways to improve the reliability and efficiency of power supply for customers in the areas remote from central electrical grid is the use of hybrid power systems with renewable energy sources. The primary task of designing such systems is the unit commitment of the generating equipment that provides the optimal technical and economic indexes of the electric power system. The stochastic nature of generation and nonlinearity of the characteristics of power plants cause a high complexity of solving this problem, which, from a mathematical point of view, is formulated as an optimization problem. An accurate and reliable solution of this optimization problem increases the efficiency of design and operation of hybrid electric power systems with renewable energy sources. And it is a vital task of modern power industry. A probabilistic statistical methods and models for the analysis of experimental data are used to construct climatic time series and graphs of electrical loads. In addition, to study the operating modes of the electric power system the MatLab system is used for the simulation and modeling, and an evolutionary particle swarm algorithm is used to solve the optimization problem. The original model of solar radiation is used as a part of this methodology. This model provides forecasting the key characteristics of solar radiation in any geographical point of Russia including the areas that have no results of routine actinometric observation. Weibull distribution function is used to forecast daily variations of wind speed. It enhances the validity of forecasting of electricity generation of wind driven power plant at daily time interval. As a result of the research, a method of optimum unit commitment has been developed for the equipment of electric power systems based on renewable energy sources. The use of the particle swarm algorithm as a part of the methodology provides reliable and accurate determination of the extremum of the objective function, which increases the efficiency of design and operation of hybrid electric power systems with renewable energy sources. The method has been tested on practical examples of optimum unit commitment for the equipment of electric power systems of various configurations and has proven its effectiveness. The technique is implemented as a software application, which ensures the convenience of its practical application. The obtained results can be used by companies involved in the design and operation of electric power systems using renewable energy generating units.
Neural CRF Model for Sentence Alignment in Text Simplification
Venue: ACL
Year: 2020

The success of a text simplification system heavily depends on the quality and quantity of complex simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles. To evaluate and improve sentence alignment quality, we create two manually annotated sentence aligned datasets from two commonly used text simplification corpora, Newsela and Wikipedia. We propose a novel neural CRF alignment model which not only leverages the sequential nature of sentences in parallel documents but also utilizes a neural sentence pair model to capture semantic similarity. Experiments demonstrate that our proposed approach outperforms all the previous work on monolingual sentence alignment task by more than 5 points in F1. We apply our CRF aligner to construct two new text simplification datasets, Newsela Auto and Wiki Auto, which are much larger and of better quality compared to the existing datasets. A Transformer based seq2seq model trained on our datasets establishes a new state of the art for text simplification in both automatic and human evaluation.
Biohybrid architectures for efficient light to current conversion based on photosystem I within scalable 3D mesoporous electrodes
Year: 2016

The combination of advanced materials and defined surface design with complex proteins from natural photosynthesis is currently one of the major topics in the development of biohybrid systems and biophotovoltaic devices. In this study transparent mesoporous indium tin oxide (mITO) electrodes have been used in combination with the trimeric supercomplex photosystem I (PSI) from Thermosynechococcus elongatus and the small redox protein cytochrome c (cyt c) from horse heart to fabricate advanced and efficient photobiocathodes. The preparation of the mITO via spin coating allows easy scalability and ensures a defined increase in the electrochemically active surface area with accessibility for both proteins. Using these 3D electrodes up to 40 mm thickness, the immobilization of cyt c and PSI with full monolayer coverage and their electrical communication to the electrode can be achieved. Significant improvement can be made when the heterogenous electron transfer rate constant of cyt c with the electrode is increased by an appropriate surface treatment. The photocurrent follows linearly the thickness of the mITO and current densities of up to 150 mA cm 2 can be obtained without indications of a limitation. The internal quantum efficiency is determined to be 39% which demonstrates that the wiring of PSI via cyt c can be advantageously used in a system with high protein loading and efficient electron pathways inside 3D transparent conducting oxides.
Predicting aflatoxin and fumonisin in shelled corn lots using poor quality grade components.
Venue: Journal of AOAC International
Year: 2006

A study was conducted to determine if aflatoxin and fumonisin are concentrated in the poor quality grade components of shelled corn. Four 1.0 kg test samples were each taken from 23 lots of shelled corn marketed in North Carolina. Inspectors from the Federal Grain Inspection Service divided each test sample into 3 grade components: (1) damaged kernels (DM) (2) broken corn and foreign material (BCFM) and )3) whole kernels (WH) The aflatoxin and fumonisin concentration was measured in each component and a mass balance equation was used to calculate the total concentration of each mycotoxin in each test sample. Averaged across all test samples, the aflatoxin concentrations in the DM, BCFM, and WH components were 1300.3, 455.2, and 37.3 ppb, respectively. Averaged across all test samples, the fumonisin concentrations in the DM, BCFM, and WH components were 148.3, 51.3, and 1.8 ppm, respectively. The DM and BCFM components combined accounted for only 5.0% of the test sample mass, but accounted for 59.8 and 77.5% of the total aflatoxin and fumonisin mass in the test sample, respectively. Both aflatoxin mass (ng) and aflatoxin concentration (ng/g) in the combined DM and BCFM components had high correlations with aflatoxin concentration in the lot. The highest correlation occurred when aflatoxin mass (ng) in the combined DM and BCFM components was related to aflatoxin concentration in the lot (0.964) Similar results were obtained for fumonisin. This study indicated that measuring either aflatoxin or fumonisin in the combined DM and BCFM grade components could be used as a screening method to predict either aflatoxin or fumonisin in a bulk lot of shelled corn.