Miracle-dz/UniFAR-FTUs huggingface dataset:
The House Price-Vacancy Curve

Individual sales prices and local vacancy rates in the housing market pose a natural analogy to the wage curve, a popular concept in labor economics that describes how individual wages decrease with higher local unemployment. While housing search and matching models and housing externalities strongly suggest a stable inverse relationship, there is still a lack of convincing empirical research on the sensitivity of house sales to local vacancy variation. Based on more than 10,000 single-family home transactions from the German market, this paper confirms a robust house price-vacancy curve among individual home prices and adjacent residential vacancies. The economic size of the relationship is highly comparable across all four analyzed states: a doubling of the vacancy rate at the municipality level is associated with a 5-8% discount in quality-controlled selling prices. Despite negative price signals, local vacancy distributions tend to persist over long time horizons, leaving room for policy intervention.
Biased locality-sensitive support vector machine based on density for positive and unlabeled examples learning

Learning from positive and unlabeled examples (PU learning) has been a hot topic for classification in machine learning. The key feature of this problem is that there is no labeled negative training data, which makes the traditional classification techniques inapplicable. According to this feature, we propose an algorithm called biased locality-sensitive support vector machine based on density (BLSBD-SVM) for PU learning which takes unlabeled examples as negative examples with noise. Our approach as the variant of Locality-Sensitive support vector machine (LSSVM) not only has a lot of advantages of local learning, but also makes good use of the prior information of training examples by adding the relative density degrees of training points. The experimental results on bioinformatics data show the effectiveness of our algorithm.
Optimal Sizing of Photovoltaic Systems Using HOMER for Sohar, Oman

This paper discussed the design and analysis of Photovoltaic (PV) system to supply lighting load for Renewable Energy Lab. The procedure of this paper was the collection of the basic meteorological data of solar radiation for Sohar-Oman, and then standalone system optimization simulation model was developed using the renewable energy software HOMER. Simulation model has been used to find out the best result optimization based on energy efficient system for the specific load. The optimization found that the PV array rated capacity is 0.7 kW, which produces 1,316 kWh/yr. The results indicate that the solar energy utilization is an attractive option with initial cost, net present cost of the system, and energy cost are 3,425 $, 6,233 $, and 0.561 $/kWh, respectively, in comparison with diesel generator operating cost 0.558 $/kWh. We conclude that using the PV system for different applications in Oman is justified on economic and technical grounds.
Carbon Footprint of an Australian Coastal Town: An Assessment of Three Planning Scenarios at Neighbourhood Level

The highly populated coastal cities and towns in Australia are also most vulnerable places to climate change induced by increased greenhouse gas (GHG) emission through anthropogenic activities. It is estimated that urban areas account for 60-80% of the global energy use and emit more than 70% of global greenhouse gases. Since most future population growth is expected to be in urban areas, one main question regarding urban planning is how new urban communities should be developed in order to minimise resource consumption and carbon emissions. This study develops a spatially explicit model to simulate the carbon footprint of a coastal town called Point Cook in Victoria under three development scenarios: 1) the horizontal (the business as usual (BAU)), 2) the vertical (Le Corbusier’s ‘Radiant City’), and 3) the mixed. By using selected neighbourhoods in Melbourne as case study areas, this research will develop a spatially explicit model that integrates geographical characteristics, urban form, street-network structure, housing type, population density, energy supply, etc. to evaluate the carbon footprint associated with different development scenarios. Data for model calibration are collected from VicLand (for land use information including transport, vegetation, hydrology, planning, and elevation) and the Australian Bureau of Statistics (for attributes about population and social development)). The findings will provide timely information relevant to the debate about suburban sprawl and low impact development and to decision-making in the design and development of low carbon communities. It is hoped that this research will improve the capacity to achieve national goals in carbon emission reduction in Australia.
Discussion Paper 2006-009 Institutions , Bargaining Power and Labor Shares

We use a static framework characterized by both moral hazard and holdup problems. In the model the optimal allocation of bargaining power balances these frictions. We examine the impact of improved monitoring on that optimal allocation and its impact upon effort, investment, profits and rents. The model’s predictions are consistent with the recent evolution of labor shares, wages per efficiency units and the ratio of labor in efficiency units to capital in several OECD countries. The model suggests further that improvement in monitoring may also play a key role in understanding opposition to institutional reforms in the labor market. K : moral hazard, hold up, bargaining, labor share JEL: D02, D24 Department of Economics, University of Haifa, Haifa 31905, Israel. e-mail: bbental@econ.haifa. ac.il School of Business and Economics, Humboldt University at Berlin, Spandauer Str. 1, 10178, Berlin, Germany. e-mail demougin@wiwi.hu-berlin.de Demougin is grateful for hospitality and support of the University Nancy 2 and the BETA. This research was supported by the Deutsche Forschungsgemeinschaft through the SFB 649 “Economic Risk”. Olivier Blanchard has graciously made his data base and all algorithms used by him available to us, for which we express our appreciaition.
Global volcanic aerosol properties derived from emissions, 1990–2014, using CESM1(WACCM)

Accurate representation of global stratospheric aerosols from volcanic and nonvolcanic sulfur emissions is key to understanding the cooling effects and ozone losses that may be linked to volcanic activity. Attribution of climate variability to volcanic activity is of particular interest in relation to the post‐2000 slowing in the rate of global average temperature increases. We have compiled a database of volcanic SO2 emissions and plume altitudes for eruptions from 1990 to 2014 and developed a new prognostic capability for simulating stratospheric sulfate aerosols in the Community Earth System Model. We used these combined with other nonvolcanic emissions of sulfur sources to reconstruct global aerosol properties from 1990 to 2014. Our calculations show remarkable agreement with ground‐based lidar observations of stratospheric aerosol optical depth (SAOD) and with in situ measurements of stratospheric aerosol surface area density (SAD). These properties are key parameters in calculating the radiative and chemical effects of stratospheric aerosols. Our SAOD calculations represent a clear improvement over available satellite‐based analyses, which generally ignore aerosol extinction below 15 km, a region that can contain the vast majority of stratospheric aerosol extinction at middle and high latitudes. Our SAD calculations greatly improve on that provided for the Chemistry‐Climate Model Initiative, which misses about 60% of the SAD measured in situ on average during both volcanically active and volcanically quiescent periods.
INHIBITING RODENT DEPREDATIONS. 11.DISTRIBUTION AND ABUNDANCE OF RATS AND MICE IN A WHEAT-SUGARCANE BASED CROPLAND

11 :1 ;1 This study was extended from June, 1992 through June, 1993 in a lOO-acre study block of wheat-rice based cropland near Alipur Chatta (Punjab) in which multiple-cropping was being practised. The block was found to be infested with three species of rodents viz. the lesser bandicoot rat, the soft-furred field rat, and the house mouse. The rodent populations, which generally ceased to breed during the winter season, were forced to move from one crop to another following their harvesting at different times of the year. Consequently, the pest populations dispersed and then concentrated in certain fields where they could be easily destroyed using an appropriate rodenticide. Should these concentrations in the vegetable, fodder, and sugarcane fields (which cover less than 18% of the total area of the study block) be destroyed in June and, if necessary, in October, the rodent depredations in the rice, wheat and other crops will be greatly minimized at a low cost with a little ecological disturbance. words: abundance of rats and mice, control implications, wheat-rice based ecosystem
GLUCOKINASE ACTIVATORS: A GLUCOSE SENSOR ROLE IN PANCREATIC ISLETS AND HEPATOCYTE

Glucokinase is a hexokinase isoenzyme and it is a monomer. The glucose –sensing enzyme Glucokinase (GK) is expressed in multiple organs and plays a key role in hepatic glucose metabolism and pancreatic insulin secretion. GKs stimulate insulin release and glucose metabolism in the liver there by lowering blood sugar and are highly effective in patients with type –II diabetes mellitus. GK was an outstanding drug target for developing anti diabetic medicines because it has an exceptionally high impact on glucose homeostasis, because of its glucose sensor role in pancreatic β-cells and as a rate controlling enzyme for hepatic glucose clearance. Glucose homeostasis is maintained by the balanced secretion and action of insulin on one side and glucagon, epinephrine, cortisol, and growth hormone on the other. The secretion of these hormones is governed in turn by glucose sensor cells, most often with glucokinase as the glucose sensor. glucose sensing can be either direct as in the case of the insulin –producing β-cells or indirect as in the case of the epinephrine - releasing chromaffine cells, which are stimulated by nicotine cholinergic neurons that are controlled by glucose sensor of the central and autonomic nervous system.
Estimation of concentration parameter for simultaneous circular functional relationship model assuming unequal error variance

In this study, we propose the estimation of the concentration parameter for simultaneous circular functional relationship model. In this case, the variances of the error term are not necessarily equal and the ratio of the concentration parameter λ = is not necessarily 1. The modified Bessel function was expended by using the asymptotic power series and it became a cubic equation of κ. From the cubic equation of κ, the roots were obtained by using the polyroot function in SPlus software. Simulation study was done to study the mean, estimated bias, absolute relative estimated bias, estimated standard error and estimated root mean square error of the estimation of the concentration parameter. From the simulation study, large concentration parameter and sample size show that the estimated concentration parameter has smaller bias. Also, an illustration to a real wind and wave data set is given to show its practical applicability.
Potential correlates and outcomes of active commuting to school among adolescents

The present study analysed the prevalence, potential correlates and physical activity (PA), body mass index (BMI), and academic performance outcomes, of active commuting to and from school (ACS), considering the home-to-school distance. A total of 391 Portuguese adolescents (189 boys, aged 14-18 years) completed a questionnaire about their active and passive commuting behaviours; potential correlates and perceived barriers of ACS; PA, BMI and academic performance. Multinomial regressions analyses were performed for ‘no walk/cycle’, ‘one-way commuters’ and for ‘both-ways commuters’ living near (<2 miles) school. The prevalence of one-way and both-ways active commuters decreased as the distance to school increased to more than two miles (66.5% to 23.5%). For the ‘near group’, walking to (47.8%) and from (55.5%) school was much more common than cycling (< 1%). The barrier with the greatest effect for one-way and both-ways active commuters was ‘distance’, followed by ‘stuff to carry’, ‘don’t enjoy walking/cycling’. No significant relations were found between walking or cycling one-way or both-ways and total PA, BMI and academic performance. To increase ACS, results suggest interventions promoting bicycling use and addressing multiple perceived barriers, such as ‘PA and ACS attitudes’, ‘stuff to carry’, perceptions of ‘hot and sweaty’ and ‘distance’.
RESULTS Limitations of RCTs and Essentials of Comparative Effectiveness Research

This in-depth integrative literature review aimed to investigate comparative effectiveness research (CER) methodologies applicable to nursing research and to propose a CER design relevant to nursing education. Integration and synthesis were conducted from August 20 to December 15, 2013 and from October 20 to December 05, 2015 using electronic databases and refereed published books. The key words were “comparative effectiveness research,” “education,” “patient outcomes,” “effectiveness,” “cost-effectiveness,” and “efficiency. ” All selected literatures were initially scrutinized by the principal investigator in terms of scientific rigor and then synthesized on an ongoing basis. CER methodologies in nursing research were presented to be significant in terms of enabling the distinctiveness of the nursing profession to stand out. Three CER methodologies applicable to nursing research—a Pragmatic Clinical Trial, Observational Comparative Effectiveness Research and Cost Effectiveness Research—revealed each of their distinguishable strengths and weaknesses compared to the Randomized Controlled Trial. For ethical considerations, the importance of ensuring “equipoise” was identified. Lastly, in a head to head comparison of two nursing education programs, a single blind, randomized crossover study design was proposed as a type of Pragmatic Clinical Trial utilizing cost-utility analysis. A mixed method Analysis of Covariance and a Doubly Multivariate Repeated Analysis of Covariance were suggested as relevant statistical analyses. Considering that CER is still inchoate in nursing research and nurse scientists’ endeavors to address the gap are urgent, this study is compelling in that it proposed a rigorous CER design not only directly applicable to nursing education, but also to other disciplines in education.
Application of OO metrics to estimate . NET project software size ∗

One of the key questions in software development is software size estimation. For systematic software size estimation, different methods are used, all of which have their roots in the Function Point Analysis (FPA) method. However, the elements and constructs of the FPA method are not directly applicable to object-oriented concepts: a mapping of object-oriented concepts to FPA elements is required. There are proposals for such mappings, but a serious calibration and validation process is required to ensure that the various parameters have been chosen in the most appropriate way. Such a validation implies the creation of effective product metrics working in environments like the industrial standard . NET platform. Since . NET is a typical multi-language environment, a product metric capturing all languages and producing comparable and accumulable results is hard and expensive to produce. Therefore we propose to solve the problem in the . NET Common Interface Language level: thus only one metric is capable to calibrate and validate the FPA mappings.
The Shapiro effect in atomchip-based bosonic Josephson junctions

We analyze the emergence of Shapiro resonances in tunnel-coupled Bose–Einstein condensates, realizing a bosonic Josephson junction. Our analysis is based on an experimentally relevant implementation using magnetic double-well potentials on an atomchip. In this configuration, the potential bias (implementing the junction voltage) and the potential barrier (realizing the Josephson link) are intrinsically coupled. We show that the dynamically driven system exhibits significantly enhanced Shapiro resonances which will facilitate experimental observation. To describe the system's response to the dynamic drive, we compare a single-mode Gross–Pitaevskii (GP) description, an improved two-mode (TM) model and the self-consistent multi-configurational time-dependent Hartree equations for bosons (MCTDHB) method. We show that in the case of significant atom–atom interactions, the spatial dynamics of the involved modes has to be taken into account and only the MCTDHB method allows reliable predictions.
(Mis)-understanding Nation and Identity: Re-imagining Sport in the Future of African Development

Athletics, its obsession and allure for economic empowerment (marathons, World Championships, Golden League track events) through skill and will, unlike any other sport in Kenya, has generated contestations in the emergence of national identity. Thus the crisis in the body Athletics Kenya (AK), the Ministry for Gender, Sports and Culture and among individual athletes in Kenya today is symbolic of the crisis of individuality, nationhood and identity in African development. Since the ‘defection’ of Wilson Kipketer in 1998, Kenyan athletes have negotiated and have ‘run’ for citizenship in the Middle East, Europe and the United States. At stake is whether athletes, athletics, sports policy and the governing bodies are witnessing an evolution or devolution in autonomy especially when citizenship changes necessitate identity changes as is the case of the Qatar/Bahrain ‘defecting’ athletes. The paper presents the case for this issue, while situating the practise of athletes ‘defecting’ within the global flows of movement and questions of identity.
Improving Security and Efficiency in Association Rule Mining using PFP-Growth Algorithm via Transaction Splitting

Data Mining is a technique which is used to discover hidden information from a large database. Frequent item set mining is also an important fundamental problem in data mining. Nowadays, most of the researchers are used association rule mining to find correlation between items and items sets resourcefully. Security is also important problem in data mining. To this end, we propose a transaction splitting based on PFP-growth algorithm and frequent items should keep as secured with the help of cryptography algorithms. PFP-Growth algorithm is advanced to FP-growth algorithm. It consists of both preprocessing phase and mining phase. In the preprocessing phase, we used smart transaction splitting method to improve the utility and tradeoff. In the mining phase, the transformed database and user specified threshold value helps to estimate the number of support computations, so that we can gradually reduce the amount of noise required and the information loss caused by transaction splitting. Using frequent item, we find the global association rules based on association rule mining. In this paper, cryptography technique (AES Advanced Encryption Standard algorithm) is used to secure the frequent item set. Trusted party should preserve the privacy of individual data while the data is distributed among
Economic analysis of human behavior in terms of health promotion concept

The Health promotion is being described as a process of illness prevention conducted by keeping the healthy lifestyle. It primarily provides more time to use and increase individual’s human capital and maximize personal income. Individuals may employ two different ways to minimize their sick leave. Actively, by the health promotion or in the passive way by the treatment of and recovery after illness. Both alternatives of individual behaviour can be shown using the model of demand for health by Grossman (1972). The growing incidence of mostly incurable and chronical non-communicable diseases (NCD) rules out the passive approach as irrational choice. Adoption of proactive approach to health prevents behaviour with bounded rationality. The cause for this behaviour can be explained by the behavioral economics analysis, specifically by the effects of insufficient self-control, procrastination, framing, status quo bias or loss aversion effect. Economic interpretation of individual approach to own health offers significant improvement of the health promotion concept, its scope and efficiency.
Social capital and the privatization of knowledge

This work examines the intellectual movement that d ominated the scientific thought in the social scien es from the 1960s onwards, and its connection with the changes in the world's economic and political rela tions since then, emphasizing the United States. Two of t he most significant manifestations of this movement are found in questions related to the identification of an institutional crisis in American democracy and the need for a process to re-evaluate the role of sociology, both from the institutional point of view, and as a tool to explain the social reality of the country and the w orld. The reorganization of America's economic powe r, as a result of the technological development and the g lobalization process, provides the background for t he political crisis in the United States. When it beco mes evident that the foundations of the American democracy are threatened by changes in its internal structure and behavior, it is possible to detect t he development of a considerable amount of research an d studies dealing with different perspectives of th e large corporations' activities. As a counterpoint t o the apparent deterioration of the internal politi cal community, this effort intends to identify the comm it ents of the business circuit with the civic beha vior and democracy, whether in the assertion of ethics i n business, or in the perspective of the developmen t of a social policy more compatible with the corporate st rategies. It is in this context that the concept of social capital becomes the main articulator of political a nd theoretical disputes on the subject of the econo mic development and the changes verified in the industr ial sector resulting from the expansion of new technologies and their effects regarding the need f or a redimensioning of the intellectual property ri ght.
Molecules Single Single Molecule Detection in Life Science

In recent years, the development of single molecule detection (SMD) techniques has opened up a new era of life science. The dynamic properties of biomolecules and the unique operations of molecular machines, which were hidden in averaged ensemble measurements, have been unveiled. The SMD techniques have rapidly been expanding to include a wide range of life science. The experiments on molecular motors, DNA transcription, enzyme reactions, protein dynamics, and cell signaling are summarized in this short review.
Teaching Practices for the Student Response System at National Taiwan University

Student response systems (SRSs) have been proven useful for enhancing student engagement and improving learning outcomes. Although many previous studies have found that both instructors and students generally hold positive attitudes toward technology which can increase classroom interaction, continuously maintaining student attention and interest remains a key challenge. The Center for Teaching and Learning Development at National Taiwan University has proactively promoted the use of an SRS since 2011. Two major approaches have been successfully implemented to assist professors in applying the SRS in their classrooms: the adoption of the Zuvio multimedia online interactive system and the implementation of a faculty SRS development group. Based on qualitative data gathered from the faculty SRS development group, this study elucidates four crucial teaching practices of the SRS: (1) designing pre- and post-instruction content comprehension assessments, (2) ensuring participatory learning through guided classroom discussions, (3) combining theory and practice, and (4) implementing group report evaluation participation.