nils-herrmann/clean_scirepeval huggingface dataset:
A spatial multiple treatment/multiple outcome difference in differences model with an application to urban rail infrastructure and gentrification
Venue: Transportation Research Part A: Policy and Practice
Year: 2019

We develop a class of difference in differences regression models for the case of multiple transportation interventions that may occur sequentially over time and may generate causal spillover effects within a spatial system. We show how these models can be estimated using tools from spatial econometrics, and further extend the models to a system of seemingly unrelated outcomes such that there may be spatial correlation in the error terms. These models facilitate estimation of direct, indirect, and total average causal effects, as well as individual and cumulative effects of transportation interventions that partially overlap in space. Such estimates can assist policymakers in assessing potentially reinforcing effects originating from multiple transportation interventions located in close proximity. We develop an empirical example of our models to evaluate spatiotemporal socioeconomic impacts of the original and expanded light rail system in Denver, CO.
The Use of Essential Oils in Active Food Packaging: A Review of Recent Studies
Year: 2019

Public concern on the excessive use of synthetic food additives has raised a great interest to use natural products due to their potential in food and pharmacological industries. Nowadays, chemical food additives are questioned due to their contribution to the health risks and environmental impacts. Among natural additives, essential oils (EOs) are extracted from aromatic compounds and responsible for their biological activities namely antimicrobial and antioxidant capacity. Incorporation of bio active compounds particularly EOs directly in food or edible/biodegradable food packaging seems to enhance the shelf life and quality characteristics of processed food and protect the consumers against oxidative and bacterial deterioration effects. However, inclusion of EOs in films/coatings for food packaging may put some effects on various properties (optic, tensile and etc. which can affect the consumer acceptability. Their addition in food can cause some allergic and hypersensitivity reactions to the individuals who use them often. This paper aims to review the latest findings on the use of EOs incorporated with edible/biodegradable films and coatings to enhance the shelf life and quality of the food. Further investigations about essential oils are expected to clarify their exact action and build up their standard use in food industry.
PVC (polyvinyl chloride) based wood plastic and preparation method thereof
Year: 2013

The invention relates to PVC (polyvinyl chloride) based wood plastic and a preparation method thereof, belonging to the technical field of plastic compound modification processing. The invention aims at providing PVC based wood plastic and a preparation method thereof which can produce a PVC based wood plastic section with good mechanical property and stability. The technical scheme is as follows: the PVC based wood plastic comprises the following raw materials in parts by weight: 40 60 parts of PVC resin, 10 20 parts of wood meal, 0.2 1 part of polyethylene wax, 0.3 1 part of processing aid ACR 401, 2 6 parts of modifier CPE 135A, 1.5 4.5 parts of PVC composite heat stabilizer, 0.3 0.7 part of external lubricant, 1 3 parts of toner, 0.2 1 part of foaming agent, 2 7 parts of foaming regulator, 10 18 parts of calcium carbonate and 0.1 0.7 part of sodium bicarbonate. The preparation method provided by the invention is suitable for the extrusion molding of PVC based wood plastic.
Research on the Application of Blockchain in the Energy Power Industry in China
Venue: Journal of Physics: Conference Series
Year: 2019

Blockchain technology has worked over the years and is being successfully applied in finance industry. The characteristics of decentralization, openness, immutability and security provide a natural solution to the distributed autonomy management for diverse energy sources and the transaction between a wide range of participants in the energy power industry. This paper introduces the current development status and the research on the application of blockchain technology in this industry in China from the aspects of demand response, point to point transaction and distributed energy resource. Existed problems and suggestions are concluded for the future studies.
Hashtag Graph Based Topic Model for Tweet Mining
Venue: 2014 IEEE International Conference on Data Mining
Year: 2014

Mining topics in Twitter is increasingly attracting more attention. However, the shortness and informality of tweets leads to extreme sparse vector representation with a large vocabulary, which makes the conventional topic models (e.g. Latent Dirichlet Allocation) often fail to achieve high quality underlying topics. Luckily, tweets always show up with rich user generated hash tags as keywords. In this paper, we propose a novel topic model to handle such semi structured tweets, denoted as Hash tag Graph based Topic Model (HGTM) By utilizing relation information between hash tags in our hash tag graph, HGTM establishes word semantic relations, even if they haven't co occurred within a specific tweet. In addition, we enhance the dependencies of both multiple words and hash tags via latent variables (topics) modeled by HGTM. We illustrate that the user contributed hash tags could serve as weakly supervised information for topic modeling, and hash tag relation could reveal the semantic relation between tweets. Experiments on a real world twitter data set show that our model provides an effective solution to discover more distinct and coherent topics than the state of the art baselines and has a strong ability to control sparseness and noise in tweets.
Regional disparities in economic resilience in the European Union across the urban rural divide
Year: 2019

The differences in regional economic resilience and the drivers of resilience across the urban rural hierarchy in the European Union are explored empirically in this paper. Three different resilience indicators are computed based on employment changes. Multilevel logistic and multinomial regression models indicate that the resilience of NUTS 3 regions is strongly affected by national borders; the highest country effects are observed for rural areas. Migration has the greatest positive effect on regional resilience across the urban rural hierarchy. Agriculture contributes positively to the economic resilience of intermediate and rural regions. Statistically significant spatial patterns of regional resilience are found throughout the EU 27.
Decoding naturalistic experiences from human brain activity via distributed representations of words
Venue: NeuroImage
Year: 2018

Natural visual scenes induce rich perceptual experiences that are highly diverse from scene to scene and from person to person. Here, we propose a new framework for decoding such experiences using a distributed representation of words. We used functional magnetic resonance imaging (fMRI) to measure brain activity evoked by natural movie scenes. Then, we constructed a high dimensional feature space of perceptual experiences using skip gram, a state of the art distributed word embedding model. We built a decoder that associates brain activity with perceptual experiences via the distributed word representation. The decoder successfully estimated perceptual contents consistent with the scene descriptions by multiple annotators. Our results illustrate three advantages of our decoding framework: (1) three types of perceptual contents could be decoded in the form of nouns (objects) verbs (actions) and adjectives (impressions) contained in 10,000 vocabulary words; (2) despite using such a large vocabulary, we could decode novel words that were absent in the datasets to train the decoder; and (3) the inter individual variability of the decoded contents co varied with that of the contents of scene descriptions. These findings suggest that our decoding framework can recover diverse aspects of perceptual experiences in naturalistic situations and could be useful in various scientific and practical applications. HIGHLIGHTSA new decoding method that uses a distributed representation of words.Decoding of movie induced perceptions from cortical activity in the form of words.Decoding could infer object, action, and impression perception separately.Inter individual variability in decoding correlated with variability in perception.Our method provides a useful tool for scientific and practical applications.
A Comparative Study of Profitability of Selected Pharma Companies of India
Year: 2018

The Indian pharmaceutical industry is growing rapidly in the number of production, value, quantity, units and there are two main things that appear to conform to the story of the full growth of the Indian economy. Second, there has been a major change in the very basic system of pharmaceutical business in India. By issuing a patent ordinance, India fulfills WTO's commitment to identify foreign product patents from January 1, 2005, the culmination of the 10 year process. In this new scenario, Indian pharmaceutical manufacturers will not be able to manufacture patented drugs, which they have been doing for a long time, though by another process. This study has been done for important evaluation of India's pharmaceutical industry. This study focus on to analyse the profitability of the selected pharmaceutical companies of India and to study the relation between the pharmaceutical companies for various measures of profitability. The study period is ten years from 2007 08 to 2016 17. Based on the study it can be seen that pharmaceutical companies had a very good profitability in 2008, while the weakest profitability of all time in year 2015.
Chinese clinical named entity recognition with radical level feature and self attention mechanism
Venue: J. Biomed. Informatics
Year: 2019

Named entity recognition is a fundamental and crucial task in medical natural language processing problems. In medical fields, Chinese clinical named entity recognition identifies boundaries and types of medical entities from unstructured text such as electronic medical records. Recently, a composition model of bidirectional Long Short term Memory Networks(BiLSTMs) and conditional random field (BiLSTM CRF) based character level semantics has achieved great success in Chinese clinical named entity recognition tasks. But this method can only capture contextual semantics between characters in sentences. However, Chinese characters are hieroglyphics, and deeper semantic information is hidden inside, the BiLSTM CRF model failed to get this information. In addition, some of the entities in the sentence are dependent, but the Long Short term Memory(LSTM) does not capture long term dependencies perfectly between characters. So we propose a BiLSTM CRF model based on the radical level feature and self attention mechanism to solve these problems. We use the convolutional neural network(CNN) to extract radical level features, aims to capture the intrinsic and internal relevances of characters. In addition, we use self attention mechanism to capture the dependency between characters regardless of their distance. Experiments show that our model achieves F1 score 93.00% and 86.34% on CCKS 2017 and TP_CNER dataset respectively.
Fear, Anger, and Risk Preference Reversals: An Experimental Study on a Chinese Sample
Venue: Front. Psychol.
Year: 2017

Fear and anger are basic emotions of the same valence which differ in terms of their certainty and control dimensions according to the Appraisal Tendency Framework, a theory addressing the relationship between specific emotions, and judgments and choices. Past research based on the Appraisal Theory revealed contradictory results for risky choice decision making. However, these conclusions were drawn from Western samples (e.g. North American) Considering potential cultural differences, the present study aims to investigate whether the Appraisal Tendency hypothesis yields the same results in a Chinese sample. Our first study explores how dispositional fear and anger influence risk preferences through a classic virtual "Asia Disease Problem" task and the second study investigates how induced fear and anger influence risk preferences through an incentive compatible task. Consistent with previous research, our results reveal that induced fear and anger have differential effects on risky decisions: angry participants prefer the risk seeking option, whereas fearful participants prefer a risk averse option. However, we find no associations between dispositional fear (or anger) and risky decisions.
Effectiveness of Entrepreneurship Education in Higher Education Institutions
Year: 2014

Entrepreneurship is a worldwide phenomenon with economic growth across the globe positively impacted by the emergence of new and innovative business start ups. These new small businesses play a significant role in job creation, influencing politicians to recognize and support entrepreneurial start up activity due to its positive contribution to the economy. Indonesia concerns promoting entrepreneurship to all people in order to develop successful entrepreneurs. Despite several entrepreneurship programs are developed by government and Higher Education Institutions (HEIs) to support this entrepreneurship movement, very little is known about effectiveness of entrepreneurship programs" implementation. Therefore this study will evaluate to what extent the effectiveness of entrepreneurship education in Indonesia. This research uses case study methods and will be carried out in two stages. The first stage is descriptive and evaluative phase. Here the research will focus on mapping of existing learning and institutional supports within HEIs. Data exploration regarding learning process within HEIs will be evaluate from internal perspective and external perspectives in order to get better understanding of learning experiences that support to become successful entrepreneurs. The second stage is explanatory phase, this stage lead to discover, develop the concepts, categories, and propositions from the phenomena to develop entrepreneurial learning theory.
Adaptive fuzzy global sliding mode control for trajectory tracking of quadrotor UAVs
Venue: Nonlinear Dynamics
Year: 2019

In this paper, an adaptive fuzzy based global sliding mode control strategy is proposed for quadrotor unmanned aerial vehicles (UAVs) in robust trajectory tracking against parameter uncertainties and external disturbances. Compared with the conventional sliding mode control, the reaching phase and the control chattering are eliminated in the control scheme, and requirements of the upper bound of the uncertainties are removed. More specifically, in order to counteract the disturbances, the fuzzy system with multiple input variables and continuous membership functions is adopted rather than the switching term, which softens the control signals greatly. Besides, the use of specific singletons membership functions for the multiple output fuzzy sets simplifies the defuzzification and reduces the computation burden significantly. Additionally, an adaptive tuner is employed, and the optimal control efforts can be achieved. Finally, comparative flight performances under different controllers for the quadrotor UAVs are demonstrated to verify the effectiveness and superiority of the proposed control approach.
PENGARUH ACB (ANIMATION COGNITIVE BEHAVIORAL) THERAPYDALAM UPAYA PENCEGAHAN KEKERASAN SEKSUAL PADA ANAKSEKOLAH DASAR
Year: 2019

Pendahuluan Kasus kekerasan seksual merupakan kasus keterpurukan moral yang sangat memprihatinkan bagi bangsa indonesia. Kondisiini menjadi sangat mengkhawatirkan karena berisiko terjadi pada semua anak, Tujuan dari penelitian ini yaitu mengetahui pengaruh Animation Cognitive Behaviour Terapi Dalam Upaya Pencegahan Kekerasan Seksual Pada Anak Di Sekolah Dasar. Metode Desain penelitian yang digunakan adalah Quasy eksperimental pre post test control group design. Populasi dalam penelitian ini sebanyak 80 anak di Sekolah Dasar yang berada di Surabaya. Sampel adalah 70 anak yang memenuhi kriteria inklusi dan 35 untuk kelompok intervensi yang mendapat ACB terapi dan 35 anak kelompok kontrol yang tidak mendapatkan ACB Terapi. Teknik pengambilan sampling dalam penelitian ini adalah dengan metode nonprobability sampling melalui purposive sampling. Dalam penelitian ini kelompok perlakuan mendapatkan ACB terapi sedangkan kelompok kontrol tidak diberikan intervensi. Variabel independen dalam penelitian ini adalah animation cognitive behaviour terapi dan variabel dependen adalah self efficacy,moral dan self protection. Data diperoleh menggunakan kuesioner dan dianalisis dengan menggunakan uji Wilcoxon Sign Ranks Test dan Mann Whitney U Test dengan tingkat signifikansi 0,05. Hasil Hasil analisis kelompok intervensi menunjukkan adanya pengaruh ACB Terapi terhadap Self Efficacy (p 0,0000) Moral (p 0,0000) dan Self Protection (p 0,0000) Hasil Uji Statistik Mann Whitney U test self efficacy menunjukkan nilai p= 0,0000 0,05) artinya ada pengaruh ACB Terapi terhadap self efficacy antara kedua kelompok sementara moral menunjukkan nilai p= 0,0000 0.05) artinya ada pengaruh ACB Terapi terhadap moral diri antara kedua kelompok, dan self protection menunjukkan nilai p= 0,0000 0.05) artinya ada pengaruh ACB Diskusi dan Kesimpulan Terapi terhadap self protection antara kedua kelompok. ACB Terapi yang dilakukan oleh petugas kesehatan dapat membantu meningkatkan self efficacy, moral dan self protection pada anak.
Combined use of Data Envelopment Analysis and Life Cycle Assessment for operational and environmental benchmarking in the service sector: A case study of grocery stores.
Venue: The Science of the total environment
Year: 2019

Ensuring sustainable production patterns doing more and better with less is a key sustainable development goal. In this sense, the joint use of Life Cycle Assessment and Data Envelopment Analysis (i.e. the LCA+DEA methodology) arises as a quantitative tool for the eco efficiency assessment of multiple similar entities. To date, the LCA+DEA methodology has been widely applied to case studies within the primary and secondary sectors. However, the applicability of this combined methodology to case studies within the tertiary (service) sector is still unexplored, which constitutes a current knowledge gap in this field. This work contributes to filling this gap by benchmarking the operational and environmental performance of a sample of 30 groceries located in Spain. All the evaluated groceries were found to involve relative efficiency scores above 0.60, with one third of the groceries deemed fully efficient. Average reductions of 3 26% in the consumption of operational inputs were calculated, leading to average reductions of 9% in the carbon footprint and 10% in the energy footprint. Furthermore, economic savings of up to 3% of the annual turnover were estimated. These results were further enriched through the application of a super efficiency DEA model for a refined identification of the best performers, as well as through the novel use of a specific model for the gradual operational and environmental benchmarking of the sample. Overall, a high applicability of the LCA+DEA methodology for eco efficiency assessment within the service sector is concluded, facilitating the identification and quantification of sustainable operational patterns.
The impact of air transportation on trade flows: A natural experiment on causality applied to Italy
Year: 2018

Efficient air transportation services can boost regional economic development by allowing access to the world market, facilitating integration and labor mobility, and fostering local industries. In this regard, aviation can act as a means of both transporting traded "goods" and providing complementary services of labor mobility. The Lombardy region in Italy is an interesting case, as it is one of Europe's wealthiest and most industrialized areas with almost 10 million inhabitants. It has three of the top four Italian airports Milan Malpensa (MXP) Bergamo Orio al Serio (BGY) and Milan Linate (LIN) as well as a small airport in Brescia Montichiari (VBS) mainly used for cargo flights. On March 31, 2008, Malpensa Airport experienced the de hubbing of Alitalia. This exogenous event allows us to study the relation between international trade and civil aviation by exploiting a quasi natural experiment without endogeneity problems. We investigate this relation by estimating a before/after augmented gravity econometric model applied to a panel data set for the period of 2004 2014. The data set includes, for each of the considered 30 European countries, information on trade flows divided by commodities sector, distance from Lombardy, GDP per capita, population, transport infrastructures and a set of other control variables. We estimate the gravity model under three different econometric specifications: random effect panel data, PPML, and PPML with fixed effects to include countries' multilateral resistance. Furthermore we estimate a DID model as a robustness check for possible endogeneity among trade and aviation, using the region of Veneto (similar to Lombardy but not affected by the de hubbing) as a control case. We find that civil aviation has a positive impact on international trade, with elasticity ranging from +0.003% to 0.13% in the different econometric specifications, and that this effect is stronger in high tech and medium tech manufacturing sectors.
A review on polymer flooding in enhanced oil recovery under harsh conditions
Year: 2018

Polymer flooding is a commercially verified technology to enhance the recovery of residual oil from oil reservoirs. Polymers are used to increase the viscosity of the displacing phase. Accordingly, they resulted in a significant reduction in the mobility ratio between the water and oil. Due to the decrease in the mobility ratio, the sweep efficiency will significantly increase compared to water flooding. This paper aims to provide a comprehensive review on thermal and chemical stability and the rheological properties of various water soluble polymers used in sandstone and carbonate reservoirs. The properties of conventional and novel water soluble polymers applied in enhanced oil recovery (EOR) are discussed along with their limitations. Moreover, field and laboratory core flooding data of different water soluble polymers are presented. This review covers current research studies on the application of polymer flooding to high temperature and high salinity reservoirs. It also provides recommendations for future work on synthesis of novel polymers with higher stability under harsh reservoir conditions.
Solving Practical Economic Dispatch Problems Using Improved Artificial Bee Colony Method
Year: 2014

This paper presents an improved artificial bee colony (IABC) optimization method to solving practical economic dispatch taking into account the nonlinear generator characteristics such as valve point loading effects. In order to exploit the performance of this new variant based ABC method to solving practical economic dispatch, a new local search mechanism (LSM) associated to the original ABC algorithm; it allows exploiting effectively the promising region to locate the best solution. The proposed approach has been examined and applied to many practical electrical power systems, the 13 generating units, and to the large electrical system with 40 generating units considering valve point loading effects. From the different case studies, it is observed that the results compared with the other recent techniques demonstrate the potential of the proposed approach and show clearly its effectiveness to solve practical and large ED.