Miracle-dz/UniFAR-FTUs huggingface dataset:
VOTER SOPHISTICATION AND MULTIPARTY BARGAINING

In most parliamentary democracies, political parties are forced to make policy decisions through a process of bargaining and compromise. This process takes place before an audience of voters, and party leaders are aware that, to retain the support of their constituents, they must take into account how the coalition bargains they agree to might be perceived. But not all voters are equal in terms of their capacity to evaluate the “quality” of bargains struck by party elites. We argue that this fact should have a systematic impact on party behavior: Parties with a less sophisticated voter base should be less sensitive to how constituents view bargaining outcomes than parties with a more sophisticated voter base. To test our argument, we create an original measure of the relative sophistication of voters across parties and bargaining situations (based on 117 election surveys across 16 parliamentary democracies). Then, we examine the first (and arguably, the most important) policy decision parties make following an election: the choice of whether to join a government, and if so, with which parties. In an analysis of 162 coalition bargaining situations, we show that legislative parties with less sophisticated voters are more likely to strike a compromise with other parties in order to enter government, and are more likely to choose partners that diverge from them on electorally salient issues. Our findings have important implications for the quality of democratic representation in multiparty parliamentary systems, suggesting, in particular, that parties with a relatively uninformed electorate are generally less responsive to voter preferences. Preliminary Draft September 2019 † Professor, Department of Social and Political Sciences, Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University. lanny.martin@unibocconi.it. †† Professor, Department of Political Science, Duke University. georg.vanberg@duke.edu. 1
Returns to human capital in France, Spain and the UK using individual level data

In this paper, we look at differences in how migrants from different skill profiles obtain returns to their education once in their destination societies (France, Spain and the UK). We develop a hypothesis about how migrants with low, mid or high educational credentials differ from natives and test them using PIAAC data (OECD). Our research contributes to the literature on both immigrant integration and migrant-native labour market inequality. Being able to obtain the most from one’s educational investments is key to describing the market conditions under which high skilled migrants interact with their host societies, and ultimately to understanding how different the pull factors are across destination countries. The paper offers two clear conclusions. The United Kingdom appears as the single most attractive destination for the most educated migrants because it minimizes the disadvantage in the labour market. France lags somewhat behind the UK, somewhere close to Spain.
Diversification of Complementary Item Recommendations with User Preference in Online Grocery

Complementary item recommendations play an important role in surfacing the relevant items to the customers in online grocery platform. Many research works focus on improving the recommendations through post-processing techniques such as user-item-level personalization and diversification of recommendations. In online grocery, complementary recommendations can fall into two types, cross-domain and within-domain. Cross-domain complementary recommendations refer to products that belong to two distinct categories, for instance, for query item hot dog bun, steak and barbecue sauce are cross-domain complementary items. On the other hand, for the same query item, chicken sausage and beef sausage form within-domain complementary recommendations as they are from delicatessen. Although diversification of recommendations can promote cross-domain complementary recommendations, it can’t capture the within-domain complementary recommendations. Within-domain complementary recommendations can not be replaced by similarity. Users also show their preferences on cross-domain or within-domain complementary items during online shopping, which can be indicated by their shopping behavior. However, many user-item-level personalization methods can’t explicitly model the preference of users on cross-domain and within-domain complementary recommendations. To stress the requirement of modeling cross-domain and within-domain complementary recommendations with personalization, we propose our re-ranking solution to provide fine-grained control of diversification on the complementary recommendations. We use transaction history to estimate users’ preference for the level of diversity in the complementary recommendations and combine it to our re-ranking solution. We demonstrate the effectiveness of our re-ranking algo-rithm on the publicly available Instacart dataset.
A Short Overview on Diagnosability of Patterns in Timed Petri Net

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A Short Overview on Diagnosability of Patterns in Timed Petri Net Éric Lubat, Silvano Dal Zilio
Temperature Effect on Feed Consumption, Absorption, and Assimilation Efficiencies and Production of the Sea Urchin Strongylocentrotus intermedius

ABSTRACT Strongylocentrotus intermedius is a widespread sea urchin species in Asian waters and experiences a large seasonal variation in temperature. It is essential to understand how temperature affects utilization of nutrients and production. Large (5 cm test diameter) S. intermedius were maintained in the laboratory and fed a formulated feed from 28 February when the gonads were small (gonad index, GI, ∼10) and sea water temperature was low (7°C) until 27 June when sea water temperature was high (24°C) under five temperature treatments (environmental temperature, 7, 12, 17 and 22°C. Temperature had little effect on rate of consumption of food or absorption efficiency and little effect on assimilation efficiency except for a significant decrease at 22°C. The gonad index was consistently least at 22°C. Organic matter production in the gonads was greatest and earliest (April) at 12 and 17°C. Strongylocentrotus intermedius acclimated to temperature <22°C during the season of gonad production. These data indicate temperature should not be a great concern in land aquaculture. Under the conditions of this experiment, S. intermedius in culture produced gonads of marketable size (gonad index >15) within one month.
Feedforward Neural Networks with Fluctuation of Structure for Chaotic Time Series Learning

The ﬂuctuation observed in the real brain has attracted attentions of many researchers. We consider that the ﬂuctu-ation plays an important role for the higher brain function. In this study, the neural network with ﬂuctuation of structure is investigated. By computer simulations, we conﬁrm that the neural network with ﬂuctuation of structure gains better performance than the conventional neural network for generalization ability.
The Impact of Export Sophistication on Bilateral Trade Flow: a Gravity Model

Based on the extended gravity model, this paper analyses the influence of export sophistication on bilateral trade. On the basis of the export sophistication measurement method proposed by Hausmann et al. (2007), this paper calculates the export sophistication of China and 56 trading partner countries in 2000-2017, and then uses cross-border panel data to empirically test the impact of export sophistication on bilateral trade. The results show that the increase of export sophistication has a positive impact on bilateral trade flows. The empirical results of this paper also confirm the previous scholars' conclusion that the trade scale between the two countries is directly proportional to their economic scale, and inversely proportional to their distance. Population and real exchange rate have uncertain impact on trade; the increase of trade freedom will expand the scale of bilateral trade; regional economic organizations and preferential trade agreements will promote bilateral trade. Finally, based on the empirical results, this paper puts forward some policy suggestions for China and other countries, especially for developing countries, to enhance the complexity of their exports, expand bilateral trade and open up international markets.
Smart Phone Based Assistant System for Handicapped/Disable/Aged People

This paper Smart Assistant System is a system which provides functionality for disabled people to live independently in today’s world. This project increases the ease of mobility for disabled/injured people. We have resolved the disabled problems by implementing voice control, and accelerometer based interfacing with the wheelchair. In this project, the wheelchair has been modified so the motions of the wheelchair are controlled by the instructions of the user. It also provides an opportunity for visually or physically disabled persons to move from one place to another. Intelligent assistant system serves as a boon for those who have lost their mobility. The development of Smart Assistant System for the basic purpose of safety, mobility of user, human interface with wheelchair. The necessities of numerous people with incapacities can be happy with wheelchairs; a few individuals from the impaired group discover it is troublesome or difficult to work a wheelchair. This project could be a piece of an assistive innovation. It is for more free, profitable and agreeable living for disabled, injured persons. Many disabled people require help in order to overcome physical challenges. Thus this project will provide an alternative to the disabled in controlling the motion of the wheelchair using their voices and Accelerometer.
DIETARY INTERACTIONS BETWEEN THREONINE AND CRUDE PROTEIN IN DIETS FOR GROWING TOM TURKEYS 8 TO 12 WEEKS OF AGE

An experiment was conducted to estimate the Thr needs of male Large White turkeys from 8 to 12 week of age and to evaluate the effects of dietary CP on Thr needs. The dietary treatments consisted of a 2 x 6 factorial arrangement with two levels of CP (16.0 and 19.8%), each containing 0.50% total Thr by analysis. Aliquots of each CP basal diet were supplemented with L-Thr to provide total Thr levels of 0.50, 0.57, 0.64, 0.71, 0.78, and 0.85%. Initial and final bird weights were taken to determine BW gain; feed conversion ratios were calculated with adjustment for weight of birds that died during the study. Nonlinear and quadratic regression analyses were used to estimate a Thr requirement to optimize BW gain and feed conversion. For both BW gain and feed conversion, significant interactions were observed between dietary CP and Thr levels. Performance was superior for poults fed the low CP diet series, noted primarily at the lower levels of Thr. As levels of Thr reached a surfeit, no significant differences in performance were noted between poults fed the two CP levels. Using nonlinear regression analysis, dietary Thr levels of 0.68 (16.0% CP) and 0.76% (19.8%) were adequate for maximum BW gai n while Thr levels of 0.61 (16.0% CP) and 0.70% (19.8%) were adequate for optimum feed conversion. However, when estimates were based on fitting a quadratic regression, dietary Thr levels of 0.83 (16.0% CP) and 0.98% (19.8%) were adequate for maximum BW gain, while Thr levels of 0.77 (16.0% CP) and 0.82% (19.8%) were adequate for optimum feed conversion. While the interactions between dietary CP and Thr may be interpreted to suggest that dietary CP levels influence amino acid requirements, the two basal diets were composed of protein sources that differ in digestibility of Thr. It is possible that the reduced BW gains and impaired feed conversion observed at the lowest level of Thr supplementation on the high CP diets were the result of a lower level of digestible Thr, rather than a direct influence of CP level per se.
Report on the WSDM 2020 workshop on state-based user modelling (SUM'20)

The SUM'20 workshop was held at the 13th ACM International WSDM Conference on Web Search and Data Mining (WSDM 2020) in Houston, Texas. The purpose of the workshop was to stimulate the research community to explore open challenges in building systems that can capture the user's state, context and goals, as well as effectively use these for leveraging intelligent user-centric systems in a wide range of applications. The workshop incorporated different plenary sessions and contributed talks. The workshop website and proceedings are available at https://www.k4all. org/event/wsdmsum20.
Relationship between quality of life, depression and anxiety in type 1 and type 2 diabetes

Correspondence: Soner Cakmak, Cukurova University, Faculty of Medicine, Department of Psychiatry, Sarıcam, Adana Turkey E-mail: drsoncak@hotmail.com Received: November 04, 2019; Revised: December 05, 2019; Accepted: March 03, 2020 ABSTRACT Objective: Physical, cognitive and emotional changes in diabetic patients affect the treatment process and quality of life. The aim of this study was to investigate the relationship between depression and anxiety symptoms and quality of life in diabetic patients and the differences of these variables with regard to some sociodemographic factors and the type of diabetes. Method: The study sample consisted of 202 patients with diabetes mellitus (83 type 1, 119 type 2 diabetes) admitted to a wellness center in Adana. The World Health Organization Quality of Life Questionnaire, Beck Depression Inventory and Beck Anxiety Inventory were administered to the participants. Their sociodemographic information, body mass index, and smoking and alcohol use status were recorded. Results: The quality of life subscales were lower (general health p=0.009, physical health p=0.005, psychological health p=0.022, social relations p<0.001, environment p=0.005) and depression and anxiety symptom levels were higher (p=0.03, p=0.02) in patients with type 1 diabetes than in type 2. Depression and anxiety severity were found to be independent factors affecting all quality of life levels (p<0.01) and diabetes type was an independent factor for social quality of life (p=0.027). The general quality of life subscale score for women (p=0.042) and general, physical and psychological quality of life subscales scores of the obese (p=0.042, p=0.016, p=0.045) were low. With higher education level and lower age, quality of life was found to increase (p<0.05) while depression and anxiety levels decreased (p<0.01). There was a negative correlation between smoking (p=0.035) and quality of life and a positive correlation with anxiety level (p=0.018). Conclusion: Diabetes type, depression and anxiety are predictors of quality of life in diabetic patients. Age, weight, low education level, and smoking were also associated with poor quality of life and depression and anxiety symptom severity in diabetic patients.
Dealing with Overlapping of Clusters by using Fuzzy K-Means Clustering

: Clustering is a process of finding classes of a data set with most similarity in the same group and most dissimilarity between different groups. Therefore, a cluster is usually represented as either grouping of similar data points around a centre. Clustering divides a given data set into a set of clusters. Clustering approaches can be classified into two categories namely-Hard clustering and Soft clustering. The hard clustering restricts that the data object in the given data belongs to exactly one cluster. The problem with hard clustering is that the different initial partitions can result in different final clusters. Soft clustering which also known as fuzzy clustering forms clusters such that data object can belong to more than one cluster to some degree known as membership levels. But sometimes the resulting membership values do not always correspond well to the degrees of belonging of the data which may results in to overlapping clusters. So the proposed fuzzy clustering approach assigns membership such as to deal with overlapping of clusters.
Stimulated Raman Scattering in Membrane Silicon Waveguides

Introduction In order to develop Silicon Photonics, main areas or building blocks for investigation include selectively guiding and transporting of the light within the silicon, encoding light, detecting light, amplification and generation the light, packaging the devices and intelligent control of these photonic functions. While a wide variety of passive devices were developed in the 1990’s, recent activities have focused on achieving active functionality, mostly light amplification and generation, in silicon-on-insulator (SOI) waveguides. In particular, the approach for light generation based on Stimulated Raman Scattering (SRS) in SOI technology has recently met a large interest [1]. More recently, new silicon-based waveguides have been proposed to manage the propagation loss in the near and long-wave infrared region [2]. This work represents a first investigation of SRS effect in silicon membrane waveguides, demonstrating the possibility to increase the Raman amplification by an appropriate design of air membrane.
An application of energy efficiency programs on multi-stage transmission network expansion and reactive power planning

Energy efficiency programs as an energy source with multiple advantages (low cost, more reliable and better clean) are considered as one of the most effective solutions to meet future energy needs. In this paper, energy efficiency programs (EEPs) are modelled as virtual sources of power generation to investigate their impacts on expanding transmission network and reactive power planning (RPP). A multi-stage model based on AC power flow has been used to indicate the possibility of postponing the investment actions as the investment deferral in transmission expansion planning (TEP). Two groups of regulatory support schemes are considered as investor income to promote participation in EEPs, namely purchasing certified emission reductions (CERs) and shared saving model. In addition, two standard case studies (Garver & 46-bus Brazilian) are evaluated to demonstrate the promising potential of the proposed model in handling the planning problems of practical power systems. The simulation results show the effectiveness of the proposed model to solve such planning problems in the presence of EEPs.
A Software-Defined mmWave Radio Architecture Comprised of Modular, Controllable Pixels to attain Near-Infinite Pattern, Polarization, and Beam Steering Angles IMS

This paper presents a software-defined mm Wave radio architecture using modular/controllable antenna pixels for 5G/B5G beamforming systems. The operating mechanism of the proposed phased array is conceptually analogous to that of a field programmable gate array (FGPA) board. The proposed concept not only supports almost infinite radiation modes, but is fully compatible with the currently existing mmWave beamforming architecture. The proposed concept can be modularly expanded into a two-dimensional structure exemplified in the 4 × 4 array using a low temperature co-fired ceramic process. The proof-of-concept model features multiple polarizations with different beamsteering angle selected from 513 theoretically available modes.
Approximation of distortion sound via Fourier and wavelet transform

Music dictation is a very popular way to play music without using musical scores. However, this skill depends on one’s experience and sense. Moreover, the effects units such as distortion, chorus, ﬂanger and so on control the tones of guitar sounds used in recent music. This makes it difﬁcult to take down in musical notation for not only human also software. In this paper, we focus on the effect of distortion that is one of the most famous guitar effect units. Our motivation is to improve music dictation regardless of one’s skills and experience in the sense of not the pitch but the quality of the sound. Distortion units involve a nonlinear transform, which is constructed by the following two steps: ampliﬁcation and clipping. It is difﬁcult to analyze distortion sounds by Fourier method, since the distortion unit process has clipping; the nonlinear transform. We have deﬁned the methods to extract the feature of distortion sound with the wavelet. That is, we deﬁned the index of distortion sound feature as the correlation between the sound signal and the Haar wavelet. Since the wavelet function has the strong localization, we can extract the feature of distortion sound. Therefore, we propose the describing method based on the index of distortion written above and the center of gravity of the spectra, which corresponds to the tone of the sound. The subjective experiments were conducted to validate the similarity between the proposed indexing method and the human perception. The result of the experiment showed that the sounds with same feature value and same center of gravity of the spectrum are recognized as the similar sounds. This means the proposed method could be used as the index of the distortion sounds which human and machine could commonly recognize.
Nutrition of chicks and layers

When formulating least-cost poultry diets, ME concentration should be optimised by an iterative procedure, not entered as a fixed value. This iteration must calculate profit margins by taking into account the way in which feed intake and saleable outputs vary with ME concentration. In the case of broilers, adjustment of critical amino acid contents in direct proportion to ME concentration does not result in birds of equal fatness. To avoid an increase in fat deposition at higher energy levels, it is proposed that amino acid specifications should be adjusted in proportion to changes in the net energy supplied by the feed. A model is available which will both interpret responses to amino acids in laying trials and give economically optimal estimates of amino acid inputs for practical feed formulation. Flocks coming into lay and flocks nearing the end of the pullet year have bimodal distributions of rates of lay, with the result that calculations of requirement based on mean output will underestimate the optimal amino acid input for the flock. Chick diets containing surplus protein can lead to impaired utilisation of the first-limiting amino acid. This difficulty can be avoided by stating amino acid requirements as a proportion of the protein.
OPTIMAL LOCATION OF FLEXIBLE ALTERNATING CURRENT TRANSMISSION SYSTEMS DEVICES TO ACHIEVE MULTIPLE GOALS IN POWER SYSTEMS

In this paper, optimal location of flexible alternating current transmission system (FACTS) devices in the power system is considered, with considering various objectives, as well as reducing the fuel costs, reducing active losses of the transmission lines, reducing voltage deviations of the buses and increasing the system loadability. The devices used in this study include unified power flow controller (UPFC), static synchronous series compensator (SSSC) and hybrid flow controller (HFC), which have been selected for optimization due to their high efficiency. The study of how these elements are allocated and their optimal capacity determination in achieving multiple goals is accomplished by implementation of an optimal power flow method in the IEEE 14-bus test system. Simulations have been carried out with application of multi-objective optimization classical methods, including the goal programming and the epsilon constraint methods.