Miracle-dz/UniFAR-FTUs huggingface dataset:
Water resources management in Beijing using economic input-output modeling

To support more sustainable development of a region, decision support tools must consider local and global systems level impacts on the economy, environment, and society. Through the development and application of "eco- nomic input-output water resources" models for Beijing, China for the years 1985, 1990, and 1992, historical trends related to the economy structure and its water use are investigated. The study finds that the economy of Beijing and water use are highly concentrated in agriculture and heavy industry, but this intensive water use is indirectly reflected in the production of most other goods and services throughout the economy because of the interrelationships among various sectors of the economy. In spite of progress during the time period observed (e.g., between 1985 and 1990 the output of the economy doubled, but water consumption increased only 12% partly because of a significant increase in the price of water in 1988) and given the seriousness of water resources issues in the region, it is critical that future regional development make progress toward a more water-efficient economic system. Resume : Des outils d'aide a la decision doivent tenir compte des impacts des systemes « locaux » et « globaux » sur l'economie, l'environnement et la societe afin de supporter un developpement plus durable d'une region. Les tendances historiques de la structure de l'economie et de son utilisation de l'eau sont etudiees par le developpement et l'utilisa- tion de modeles economiques des entrees-sorties des ressources en eau pour Beijing, en Chine, pour les annees 1985, 1990 et 1992. L'etude montre que l'economie de Beijing et son utilisation de l'eau sont tres concentrees sur l'agricul- ture et l'industrie lourde mais, en raison des interrelations entre les secteurs economiques, cette utilisation intensive de l'eau se reflete indirectement dans la production de la plupart des autres biens et services de cette economie. Malgre le progres realise durant la periode a l'etude (c.-a-d. entre 1985 et 1990, le rendement de l'economie a double, mais la consommation d'eau n'a augmente que de 12 %, probablement en raison d'une augmentation importante du prix de l'eau en 1988). Etant donne la gravite des questions touchant les ressources en eau dans la region, il est important que le futur developpement regional progresse vers un systeme plus economique et plus efficace de gestion de l'eau. Mots cles : planification des ressources en eau, gestion des eaux en milieu urbain, modelisation des entrees-sorties.
The determinants of new‐firm survival across regional economies: The role of human capital stock and knowledge spillover*

Abstract. Motivated by differences in new‐firm survival across regions, this paper explores the impact of regional human capital on new‐firm survival rates. New‐firm survival is interpreted through formation rates of surviving versus closed firms in the service sector. By incorporating knowledge spillovers through a geographical variation model for Labour Market Areas, we empirically test the relationship between regional human capital stocks and new‐firm survival. The expected positive relationship between regional human capital and new‐firm survival is supported for the period 1993–1995, but is not as strong for the recession period 1990–1992. Controlling for human capital, the new‐firm survival rate is negatively related to service sector specialisation and positively related to all‐industry intensity, suggesting that city size and diversity may be an important determinant of new‐firm survival in both periods. Abstract. Motivado por las diferencias entre economias regionales en la supervivencia de nuevas empresas, este articulo explora el impacto del capital humano regional en las tasas de supervivencia de nuevas empresas. La supervivencia de nuevas empresas se interpreta a traves de las tasas de formacion de empresas supervivientes respecto de empresas que han cerrado en el sector servicios. Mediante la incorporacion de spillovers (efectos derrame) de conocimiento en un modelo de variacion geografica para Areas de Mercado Laboral, analizamos empiricamente la relacion entre reservas de capital humano y la supervivencia de nuevas empresas. La esperada relacion positiva entre el capital humano regional y la supervivencia de nuevas empresas es valida para el periodo 1993‐1995, pero no lo es tanto para el periodo de recesion 1990‐1992. Controlando la variable capital humano, la tasa de supervivencia de nuevas empresas esta relacionada negativamente con la especializacion del sector servicios y positivamente relacionada a la intensidad del total de industrias, sugiriendo que el tamano de la ciudad y la diversidad podria ser un factor determinante de la supervivencia de nuevas empresas en ambos periodos.
Onto-Traffic: A Semantic Traffic Analysis Tool based on GPS Data for Smart-Cities

Nowadays by growing usage of vehicles, control and monitor the traffic is a promise for smart cities. Recommendation Systems are one of the solutions provided by smart cities for such issues. These kind of systems are trend in Information Technologies and they are acquiring acceptance among scientific communities and enterprises as well. Such systems feed users with valuable information about their environment and help them to take better decisions related to traffic jam. This paper presents OntoTraffic, a recommendation system based on ontologies, which supports the user to obtain information related to urban traffic in the city of Beijing. The information is provided according to the user’s requests. This recommendation system works with Global Positioning System (GPS) traces taken from the Beijing data set, which has twenty one millions traces. In addition, 5888 traces were gathered through smartphones of Guadalajara citizens. In OntoTraffic system, data are collected by certain algorithms that extract the data from a reliable databases. Produced information from such system, which depends on the other recommendation, allows users being more productive and efficient in urban issues. This information also improves user’s life quality by spending less time and money on their daily activities. OntoTraffic also provides recommendations to obtain: (1) average traffic on a specific street, (2) find rush hours for each street, (3) discover the most crowded streets in a certain time, (4) demonstrate the distance between two points on the map, and (5) show the bustle streets between 7:00 pm to 3:00 am. Finally this paper suggests some activities for future work such as: (a) build new models to support smart cities, (b) supporting recommended system developments for decision makers, (c) valuing data analysis and ontologies for future High Performance Computing (HPC) center. Keywords—Recommendation systems; urban traffic; smart cites; OntoTraffic system; smart applications; GPS data analysis.
Research on the parameters of turbulence model and modeling of equilibrium atmosphere boundary layer in CWE

In this paper, the influences of the boundary layer modeling and the turbulence model parameters on the numerical simulation research for wind engineering were investigated through detail comparison between the numerical results and that of the wind tunnel test data. The applicability of suggested model parameters and inflow turbulence boundary conditions being construct equilibrium boundary layer in SST k ω − model had been validated successfully. The research work of this paper would be helpful to realize the importance of these usually ignored problems as well as to improve the accuracy of numerical simulation for CWE.
Population Dynamical Parameters of Brushtooth Lizard Fish (Saurida undosquamis (Richardson, 1848)) from the Northeastern Mediterranean Coast of Turkey

This study was performed to assess exploitation, growth characteristics, reproduction, mortality rates and exploitation rate of the Brushtooth lizardfish (Saurida undosquamis), from the Babadillimani Bight, located in the Western entrance of Mersin Bay. For this purpose, 2757 individuals Brushtooth lizardfish were obtained by monthly samplings between May 1999 and April 2000, and they consisted of 39 % males, 29% females and 32% juveniles. Considering growth characteristics, Length-weight relationship was W = 0.0047xL3. 095, and von Bertalanffy growth constants in length and weight were L∞ = 41.57 cm, K = 0.118 year-1, to =-1.895 year and W∞ = 474.59 g, respectively. It was also estimated that total mortality was Z = 0.7664 year-1, and its components were M = 0.4033 year-1, F = 0.3631 year-1. When exploitation rate was taken into account, it was found that the Brushtooth lizardfish was under exploited (E=0.47 year-1) in the Babadillimani Bight.
Measurement Overall Equipment Effectiveness on Injection Moulding Machine: A Case Study in Injection Moulding Manufacturing Industry

ABSTRACT In an injection molding machine, the production process of the ingredients in the form of a plastic seed is inserted into the machine to be qualified to be injected into the molded product mounted on the machine. The calculation of overall equipment effectiveness (OEE) is used to calculate the overall effectiveness of production equipment that refers to indicators of availability, performance and quality. The global standardization of good OEE values is 85%, if there is a value below 85% of the OEE value on a machine means problems with engine availability, engine performance and quality results from the machine. OEE results below 85% were performed with an improvement analysis with a pareto diagram and five why analysis. The calculation of the calculation of the fourth injection molding machine 80 tons obtained machine number one and three are below the 85% standard caused by operator pause. machine redesigning mold cavity molds suitable shrinkage material and water cooling machine used aquadest with pure H2 O content.
A Comparison of Infant and Toddler Reactions to Strangers who Have Similar Attributes to an Established Attachment Figure vs. Strangers who Have Different Attributes

A child’s early attachment experiences can have a lasting impact on later development. Early attachment relationships often result in greater social and cognitive skills, as well as better school performance (Peisner et al., 1999). For these reasons, it is important to address those components that may contribute to secure attachments with care givers in the child care setting. The current study looked at the reactions of infants and toddlers when presented with two previously unknown individuals: one who physically resembled an established caregiver with whom they had already established attachment and one who looked different from this caregiver. The study utilized a mixed method design that included parent and teacher questionnaires, as well as video recordings of the interactions between children and two new individuals. The process used for the video recordings was an adapted version of the Strange Situation developed by Mary Ainsworth and colleagues (Ainsworth & Bell, 1970). The 13 infants and toddlers who participated in the study experienced 5 sessions, which included their teacher, a session with an adult who looked similar to the teacher, and a session with a dissimilar looking adult. Findings indicated that children did display more acceptance behaviors with individuals who looked similar to a current caregiver. Data on video recording was broken into 3 categories: affect, child bids, and child response to adult bids. Paired t-tests determined that all session comparisons except for Sessions 2 and 4 for affect, and Sessions 2 and 4 for child response were statistically significant (P=.05). Cohen’s Kappa was used to determine parent and teacher agreement for indicators of attachment. A moderate agreement was found for the cling/smile category (.57), and a fair agreement was found for the remaining three categories: crying (.22), following (.28), and reaching (.32).
The Emergence of Filmic Artifacts: Cinema and Cinematography in the Digital Era

Abstract The tools of digital filmmaking are transforming all aspects of cinema, including production, postproduction, and exhibition. In the process, they are altering the visual characteristics of the moving image and changing the viewer's perceptual understanding of the nature of cinema, leading to the emergence, for the first time in the medium's history, of filmic artifacts.
Dynamics of riverine CO 2 in the Yangtze River fluvial network and their implications for carbon evasion

Abstract. Understanding riverine carbon dynamics is critical for not only better estimates of various carbon fluxes but also evaluating their significance in the global carbon budget. As an important pathway of global land–ocean carbon exchange, the Yangtze River has received less attention regarding its vertical carbon evasion compared with lateral transport. Using long-term water chemistry data, we calculated CO2 partial pressure (pCO2) from pH and alkalinity and examined its spatial and temporal dynamics and the impacts of environmental settings. With alkalinity ranging from 415 to > 3400 µeq L−1, the river waters were supersaturated with dissolved CO2, generally 2–20-fold the atmospheric equilibrium (i.e., 390 µatm). Changes in pCO2 were collectively controlled by carbon inputs from terrestrial ecosystems, hydrological regime, and rock weathering. High pCO2 values were observed spatially in catchments with abundant carbonate presence and seasonally in the wet season when recently fixed organic matter was exported into the river network. In-stream processing of organic matter facilitated CO2 production and sustained the high pCO2, although the alkalinity presented an apparent dilution effect with water discharge. The decreasing pCO2 from the smallest headwater streams through tributaries to the mainstem channel illustrates the significance of direct terrestrial carbon inputs in controlling riverine CO2. With a basin-wide mean pCO2 of 2662 ± 1240 µatm, substantial CO2 evasion from the Yangtze River fluvial network is expected. Future research efforts are needed to quantify the amount of CO2 evasion and assess its biogeochemical implications for watershed-scale carbon cycle. In view of the Yangtze River's relative importance in global carbon export, its CO2 evasion would be significant for global carbon budget.
Antibiotic Sensitivity to Helicobacter pylori Growth

Helicobacter is a genus of Gram negative bacteria possessing a characteristic helicalshape. They were initially considered to be members of the Campylobacter genus, but in 1989 Goodwin et al., published sufficient reasons to justify his new genus name of Helicobacter. The Helicobacter genus contains about 35 species (Boyanova, 2011). Some species have been found living in the lining of the upper gastrointestinal tract, as well as the liver of mammals and some birds. The most widely known species of the genus is H. pylori, which infects up to 50% of the human population (Yamaoka, 2008). The genus Helicobacter belongs to the Epsilon subdivision of the Proteobacteria, order Campylobacterales, family Helicobacteraceae (Fox, 2002). International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 12 (2017) pp. 3999-4006 Journal homepage: http://www.ijcmas. com
Comparing Earnings Management in Germany and the USA

This study presents empirical evidence concerning the effect of different accounting standard on earnings management. Prior studies have shown that accounting standards influence earnings management. Tighter accounting standards regime restricts management's descretion to manipulate accruals, and at the same time, induce more costly real earnings management activities. To investigate this issue, the levels of earnings management in the U.S. are compared with those of Germany. The data are obtained from the Osiris database. The sample comprises of 4,388 firm-year observations for U.S companies and 792 firm-year observations for German companies for the period of 2004-2007. To capture accrual earnings management, we use discretionary accrual, and to capture real earnings management we sum standardized abnormal cash flow from operation (CFO), abnormal production costs, and abnormal discretionary expenses. The result indicates that German's relatively principle-based GAAP yields higher level of accrual-based earnings management than US's relatively rule-based GAAP. On the other hand, we also document that US GAAP yields higher level real-based earnings management than German's GAAP.
Li, Rui and Fletcher, John E. and Xu, Lie and Williams, Barry W. (2017) Enhanced flat-topped modulation for MMC control in HVDC transmission

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Livestock markets play an important role in the cattle movement network in Pernambuco, Brazil

O comercio de animais e um importante fator de risco para a disseminacao de doencas entre animais e rebanhos. O objetivo do presente estudo foi caracterizar a rede de movimentacao de bovinos em Pernambuco, com base nas guias de trânsito animal (GTAs) de 2012 a 2013, e identificar a intensidade da relacao comercial entre os estabelecimentos. Foram analisadas 737.950 GTAs emitidas, e as movimentacoes de bovinos totalizaram 3.481. 185 animais (1.688.585 em 2012 e 1.792.600 em 2013). Um percentual de 52,57% (1.829.907/3.481.185) das movimentacoes de bovinos envolveu entrada ou saida de feiras de gado, indicando que as feiras desempenharam um papel importante na rede. Aproximadamente 20% dos estabelecimentos mais conectados foram responsaveis por aproximadamente 87% das movimentacoes relacionadas as vendas, e 95% das movimentacoes, relacionadas as compras. Considerando o importante papel das feiras e o intenso comercio de bovinos entre as propriedades, medidas de vigilância e controle podem ser mais eficientes se aplicadas em feiras e estabelecimentos altamente conectados, para prevenir a propagacao de doencas infecciosas.
Quantifying uncertainties associated with the measurement of primary production

Depth-integrated primary production was estimated in the Celtic Sea (European Shelf) by 2 independent methods. Daily production rates were derived from photosynthetic parameters determined by photosynthesis/irradiance (P/E) experiments on samples incubated with 14 C-bicarbonate ( 14 C method) and from in situ profiles with the fast repetitive rate fluorometer (FRRF) method. Production was estimated to be between 332 and 910 mg C m -2 d -1 by the 14 C method and from 351 to 1278 mg C m -2 d -1 by the FRRF method. The uncertainty, or error, of these estimates was determined by calculating 95% confidence intervals using Taylor series and Monte Carlo modelling approaches. Both approaches revealed significant uncertainty in estimates. The Taylor series analysis of the 14 C method indicated that 95% confidence interval widths were between 4 and 20% of the estimated production. The smallest error in this study, calculated using a Taylor series analysis, gave a 95% confidence interval of (578, 622) mg C m -2 d -1 for an estimated production rate of 600 mg C m -2 d -1 . The largest error was calculated using a Monte Carlo analysis and found that a production rate of 377 mg C m -2 d -1 had 95% confidence limits of (300, 453) mg C m -2 d -1 . Larger uncertainties were associated with the FRRF method, but reflect only the increased complexity of equations used to derive photosynthetic parameters and not a known greater degree of error in the approach. The precision of primary production measurements is a neglected but important factor that should be considered in primary production experiments and in testing satellite remote sensing algorithms.
Start-Ups Domestic Location Decisions, and the Entrepreneur's Geographical Origin

According to neoclassical location theory, the decision to locate a firm depends on the characteristics of the regions that affect profits. These characteristics can affect profits from both the cost and revenue side. On the cost side of the profit function, one usually considers factors such as the cost of labor, capital and land. On the revenue side, accessibility to the market is the most relevant factor. Empirical work has established the relevance of some of these factors, as well as the importance of different types of agglomeration economies. These studies have largely ignored factors related to the characteristics of the entrepreneur. Among these, the entrepreneur’s geographical origin seems to be a determinant factor in the business location decision. Using a microeconometric approach, we investigate in this paper the contribution of this variable to explain the decision to locate a domestic firm. The authors would like to express their appreciation for a grant from the Fundacao para a Ciencia e a Tecnologia, Lisbon, Portugal (Praxis/P/Eco/13134/1998). Paper to be presented at the European Regional Science Association 39 European Congress, Dublin, Ireland. Preliminary version. Please do not quote.
Exchange Rate Volatility and Aggregate Exports Demand through ARDL Framework: An Experience from Pakistan Economy

This study estimates the exports demand for Pakistan by employing Autoregressive Distributed Lag model and using quarterly data for the period 1982Q1-2008Q2. The paper seeks to examine the long run as well as short run impact of real effective exchange rate volatility along with foreign real income, relative price of exports and real effective exchange rate on demand for exports. The empirical results reveal that demand for real exports are co-integrated with real foreign income, relative price of aggregate exports, real effective exchange rate and volatility of real effective exchange rate. Real foreign income is found to have a significant positive effect on exports demand, suggests that Pakistanâ€™s aggregate exports demand depend significantly on its trading partnerâ€™s income. The relative price of exports carries significant negative coefficient suggesting that increase in relative price of exports may decrease the level of exports demand in the long run. The volatility of real effective exchange rate, has adversely affect the Pakistanâ€™s aggregate exports in the long run. The result further demonstrates that real effective exchange rate volatility and relative price of exports ranger causes aggregate exports in the short run.
A Robust Time Series Prediction Model Using POMDP and Data Analysis

One of the most important applications of information technology is to summarize data and predict new data based on existing values. For example, in stock market analysis, many investors use technical analysis tools to create a model that helps them in decision making. To minimize the uncertainties of the stock market, investors implement prediction models modified with their opinions. An ETF, which has a strong mutual connectivity between different portfolios, gets attention of the public by its low risk, intraday tradability and tax efficiency. In this paper, we propose a model in which investors’ opinion can be applied via Partially Observable Markov Decision Processes (POMDP), so that investors can intervene in the model to improve the prediction and make greater profit. Since an ETF has a strong mutual connectivity, we also use historical data to find out the relative changes between the chosen portfolios. This helps the model work better in POMDP structure. 