Miracle-dz/UniFAR-FTUs huggingface dataset:
Immigration and the Czech Republic ( with Special Respect to the Foreign Labour Force )

This paper presents an overview of international migration in the Czech Republic, with a special focus on labour immigration. Currently the Czech Republic is an immigration and transit country. The most important immigration segment economic immigrants create a colourful mosaic of various ethnicities (80% of them from Europe) each group with their own different economic strategy and niche are the main target of this contribution. After sketching historical patterns and data problems the focus is on the current situation of labour migrants in the country. A number of issues are addressed: e. g. , the relationship between immigrant inflows and the economic situation of the country, immigrants ́ regional concentration/de-concentration processes, the popularity of the capital city of Prague and western regions vis-a-vis eastern ones and the different structural backgrounds of immigrants coming from the East versus the West. Special attention is placed on discussing undocumented/illegal immigration, mainly in relation to the misuse and evasion of immigration legislation. Finally, the immature Czech migration policies and practices are discussed as needed policy improvements and the need for new immigration legislation. It is clear that the major trend over time leads to more restrictive migratory policies in line with efforts to harmonize Czech migratory policies and practices with those of the European Union (EU). MAIN GOAL AND STRUCTURE OF THE PAPER This contribution is centred upon international labour migration in the Czech Republic. Labour immigration clearly dominates over emigration in Czechia (see below) and that is why the former phenomenon is emphasized here much more intensively than the latter. The main focus of this 1 The author highly appreciates very useful comments of three anonymous reviewers who contributed to improving the quality of this paper. Also, the author expresses gratitude to Prof. George J. Demko for his valuable remarks and polishing the English language. The topic, which is dealt with in this contribution is part of a research project being carried out under the umbrella of the Grant Agency of the Czech Republic No. 403/99/1006. Some basic facts and ideas in this contribution have been presented at a meeting of experts: “International Migration in Central and Eastern Europe at the Threshold of the XXI Century: New Trends and Emerging Issues”, organized by the UNESCO (MOST program),
Evaluation of Poverty Status and Profitability of Selected Women Entrepreneurs in Ogun State , Nigeria

Women are one of the most vulnerable groups to poverty; despite this, they are in the fore front of most small scale entrepreneurial businesses in the country. They see business as means of generating income to meet end means. Therefore, this study determined the poverty status and profitability of women entrepreneurs in Ogun State, Nigeria. Data were obtained from primary source using a set of structured questionnaire assisted with interview schedule. The multistage sampling technique was used to randomly select 135 women entrepreneurs in baking and confectionery enterprise for the study. Data were analysed using descriptive statistics, gross margin, Foster – Greer Thorbecke (FGT) and multinomial logit model analyses. The findings showed that majority of the respondents (85%) were married, 82.2% of the sampled respondents had at least primary education with average age of 43 years’ old and 93.3% had at least 4 persons per house. The study further revealed that total revenue and net profit accrued per annum were N1, 032,480.00 and N475386.01 respectively. The result of the expense structure ratio (ESR) of 0.04 showed that 4% of the total cost of this enterprise made up the fixed cost items. The values of gross margin (N496, 571.26), benefit cost ratio (1.85) and percentage profit (85%) indicated that baking and confectionery was a profitable business in the study area. The results of FGT showed that poverty incidence (Po), poverty depth (P1) and Poverty severity (P2) for the poverty line of $1 and $1.25 USD per day were 0.44, 0.14, 0.57 and 0.11, 0.17, 0.10 respectively. This implies that 14% and 17% of the poverty line of $1 and $1.25 respectively were needed to get out of poverty. Results of multinomial logit model revealed that experience, income and access to credit were the main factors that significantly influenced the level of poverty in the study area. The study therefore concluded that baking and confectionery enterprise is a profitable venture that could generate more income and alleviate poverty in the study area.
UGT 2 B 17 Polymorphism and Risk of Prostate Cancer : A Meta-Analysis

1 Department of Epidemiology and Biostatistics, School of Public Health, Tong Ji Medical College, 13 Hang Kong Road, Wuhan 430030, China 2Department of Ophthalmology, Tong Ji Medical College, 13 Hang Kong Road, Wuhan 430030, China 3Department of Maternal and Child Health, School of Public Health, Tong Ji Medical College, 13 Hang Kong Road, Wuhan 430030, China 4Department of Nutrition and Food Hygiene, School of Public Health, Tong Ji Medical College, 13 Hang Kong Road, Wuhan 430030, China
COORDINATION OF OFFSHORE OPERATIONS : A MULTI-CASE STUDY

The main objective of this study is to understand how companies coordinate offshore operations. Even though offshore operations is not a new subject it has been practiced by companies for a long time, and is a growing operations practice employed by companies worldwide academic efforts are still needed to achieve a full understanding of this phenomenon. One of those efforts is the comprehension of the strategic aspects of offshore. Offshore has implications for the strategic management field because it can instigate a firm to develop new capabilities and resources. In addition, companies have also moved high skill and core business activities overseas, requiring implementation of new organizational measures. For instance, literature has suggested that capabilities development is important to undertake more complex offshore processes and to overcome managerial challenges, implementation barriers, and coordinate operations. This study takes offshore operations as ―the movement or relocation of domestic firm activities and operations abroad‖ (BUNYARATAVEJ, HAHN, & DOH, 2008, p.227). In order to achieve its objective, eight case studies with manufacturing companies that have implemented captive offshore operations were carried out. The qualitative data were collected through semi-structured interviews. The interview protocol was developed to cover elements related to offshore operations. Using theory building through case studies, it was possible to obtain research outcomes such as types of offshore operations implemented by the companies, as well as, coordination mechanisms. We also suggest propositions. Finally, this study contributes to practitioners identifying mechanisms used by companies in order to coordinate offshore operations.
Reflections of a new educational designer

Educational design is an area of growing significance in tertiary education. However, the career pathway to educational design is varied. Because few specific qualifications are available, educational designers (EDs) tend to take up their roles with little experience or indepth knowledge. The purpose of this study is to investigate one new ED’s development from new-to-role to experienced practitioner, in order to identify what new EDs might expect as they develop. In the early stages of her role Nicky Meuleman, ED at the Open Polytechnic of New Zealand, captured significant encounters and recorded ongoing reflection. This paper summarises and discusses the key themes from those reflections, providing insight into one ED’s journey from beginner to proficient practitioner.
MOLECULAR IDENTIFICATION OF Bactrocera SP . FRUIT FLY FROM MURIA FOREST , CENTRAL JAVA , INDONESIA Dyah

Bactrocera is one of important fruit flies. There are many Bactrocera species attack fruits consumed by human or not. We found Bactrocera sp. from forest that attack the fruit that not consumed by human (wild fruit), the species is still doubtful. The morphological identification show that Bactrocera sp has most of the same morphological characters with Bactrocera calumniata and has the same wings character with the B. cucurbitae. The study aimed to confirm the taxonomic status of Bactrocera sp using identify the cytochrome oxidase I gene of mitochondrial DNA and its phylogenic. The methods included fresh larvae DNA isolation, polymerase chain reaction (PCR), electrophoresis, and sequencing. Data analysis using BLAST program and MEGA software version 6.06 programs. The results showed that sequence (435 bp) of the Bactrocera sp. had highest similarity to B. cucurbitae (100%) (GenBankAcc Number DQ006875.1), and 96% homology with B. calumniata (96%) (GenBankAcc Number GQ154088.1). The Phylogenetic clearly showed that Bactrocera sp have the same common ancestor that came from Switzerland B. cucurbitae. Keyword: cytochrome oxidase I, Bactrocera sp, B. cucurbita, B. papayae. INTRODUCTION Bactrocera sp is fruit flies, one of the insect pest that attack fruit. It is one of the most abundant insects in the world. There are around 4000 species of fruit fly in the world and 35% of the total attack soft skinned fruits, including highly economic commercial fruits (Zhang et al. (2010). Bactrocera sp infects fruits that are consumed by human, for instance apple, guava, papaya, mango, starfruit, soursop, avocado, and cimpedak (CABI, 2007; Indriyanti et al., 2014). Muryati (2007) reported that 40% of the total fruit fly population also inhabits and grows in Asteraceae (Compositae) plant. However, some of them also infect fruits that are not consumed by human. We found Bactrocera sp which attack the fruit is not consume by human (wild fruit), in the forest in Kudus, Central Java Indonesia. The fruit is unknown name, included in Cucurbitaceae family and has not been identified. Bactrocera sp. that infects the wild fruit shares many similar characteristics with Bactrocera calumniata, while its wings resemble Bactrocera cucurbitae. The study aimed to confirm the taxonomic status of Bactrocera sp using identify the cytochrome oxidase I gene of mitochondrial DNA and it’s phylogenic. Cytochrome oxidase I gene is chosen since it is widely used for DNA barcoding to differentiate many species.
Universal secondary characteristic homomorphism of pairs of regular Lie algebroids B A

There are three theories of secondary characteristic classes on Lie algebroids, rst was given by J.Kubarski [1991], [K2], [K5], [K6], the next was given by R.L. Fernandes [2002] [F] and the last byM.Crainic [2003] [Cr]. These theories generalize the classical secondary characteristic classes for principal bundles and foliations. The purpose of this lecture is to present a universal secondary characteristic homomorphism
A Multiple-Channel Active Noise Control System using TMS 320 C 31

Active noise control (ANC) is based on the principle of destructive superposition, where an unwanted primary sound is canceled by a secondary one of equal amplitude and of opposite phase. Numerous successful applications have been reported for the attenuation of low frequency noise in a narrow duct environment with a relatively simple single channel ANC system. However, the single channel ANC system cannot effectively control the noise in a large-dimension enclosure in which the noise propagates in a more complicated manner. In order to effectively control the noise in such conditions, we implement a 2 2 1 × × (1 reference microphone, 2 speakers, and 2 error microphones) ANC system that uses overall online secondary path modeling algorithm using a TMS320C31 DSP chip. In the implemented system, we extend a single channel ANC system with the overall on-line secondary path modeling algorithm to a multiple-channel system devoid of the inter-channel coupling effect. The implemented system reduces primary noise by about 30dB in a spacious enclosure, which agrees with the results of computer simulations.
USING CLOUD-MOTION WINDS TO UNDERSTAND KINEMATIC PROCESSES OF DEEP CONVECTION : ANVIL-LEVEL OUTFLOW AND MOMENTUM TRANSPORT

Cloud motion-derived winds from geostationary satellite data are used to understand the kinematic flow fields within and surrounding deep convection. In particular, tropical cyclones and smaller, organized convective systems and ensembles are analyzed to assess upper tropospheric anvil-level outflow characteristics and tropospheric momentum fluxes. Two hypotheses are tested in this work: First, deep convection will exhaust its upper-tropospheric outflow mass in the direction of least inertial resistance for lateral flow away from the parent cumulonimbus cloud. Second, cloud-motion winds, derived from the motion of anvil cirrus, accurately describe the wind flow in the upper portions of mature cumulonimbus clouds (when the effects of storm motion are taken into account). Following from these assumptions, techniques are devised that help forecasters and modelers understand the behavior and influence of moist convection across the tropics. The first part of our presentation will demonstrate several real-time diagnostics, based heavily on the processing of geostationary satellite data, that may be used to predict tropical cyclone intensity and intensity changes. These diagnostics help assess interactions of storm outflow with upper tropospheric (θ≥340 K) potential vorticity fields, and the formation of synoptic-scale outflow corridors for tropical cyclones. The second portion of this presentation will outline a theory for estimating deeptropospheric convective momentum fluxes by combining 10-meter wind data from the NASA/JPL SeaWinds Scatterometer aboard the Quick Scatterometer (QuikSCAT) satellite, intercloud winds derived from Tropical Rainfall Measuring Mission’s Precipitation Radar (TRMM PR) data, and GOES-derived cloud-motion wind information. Results of both applications are very promising, exemplifying new remote sensing methods for diagnosing and monitoring convection across the tropics.
Consensus in Enterprise and Financial Blockchains : Assumptions and Challenges

While blockchain critics often point to the excessive energy consumption of Bitcoin-style proof-of-work, the rapidly growing world of enterprise-class blockchain databases has a set of assumptions and requirements that differs greatly from those of a public, fully decentralized blockchain like Bitcoin. In such settings, message-based consensus is feasible due to the ability of a permissioned chain to have admission control for nodes and possibly to make stronger assumptions about node behavior. Traditional Byzantine consensus [21] does not fully meet the needs of these environments due to performance issues as well as due to the dynamic arrival and departure of nodes. Practical Byzantine Fault Tolerance [9] addresses the expected-case issue for these environments, though the worst-case performance is bounded by the classic formal results of [12]. The much more recent Stellar protocol [17] addresses the dynamic arrival and departure of nodes via a clever definition of quora for consensus. The Algorand agreement protocol [14] addresses performance even in public chains. Another set of issues arise in cross-chain and off-chain transactions. This talk will review the assumption set driving the design of blockchain-consensus algorithms as they are or are likely to be applied in financial systems and as part of larger enterprise information systems. PVLDB Reference Format: Henry F. Korth. Consensus in Enterprise and Financial Blockchains: Assumptions and Challenges. PVLDB, 12(xxx): xxxxyyyy, 2019. DOI: https://doi.org/10.14778/xxxxxxx.xxxxxxx
DAILY RAINFALL VARIABILITY IN THE SPANISH MEDITERRANEAN AREA

A dense daily precipitation database, extending from 1964 to 1993, has been created for the Mediterranean regions of Spain. It is composed of complete and homogeneous series at 410 rain gauge stations (347 in the coastal fringe of peninsular Spain, and 63 in the Balearic Islands, Fig. 1). The raw data consisted of the 3366 available daily precipitation records during some period between 1951 and 1995, provided by the Instituto Nacional de Meteorología of Spain (INM). A first selection was made to consider only stations with a minimum of 1000 data values (almost three years), which yielded a set of 2842 rain gauges. The inventory of these stations showed a great variety of record lengths, with only 5 stations with no missing data. Then, a search was performed to choose the longest sub-period of 1951-95 having the highest number of stations with tolerable completion. The final decision was to keep the 410 stations with 90% of data available during 1964-93 (30 years). An iterative method was followed to check the quality of the data, as well as to fill the missing data by interpolation from the surrounding stations. A detailed description of the method can be found in Romero et al. (1998a). The region offers an interesting scenario for meso-climatological studies on time and spatial rainfall variability: Geomorphologically, it is characterized by important coastal relief units and complex distribution of sea and land masses (Fig. 1), leading to different exposures to the rain bearing maritime winds; climatically, the western Mediterranean is subject to strong seasonal variability, since it is a transition zone between the mid-latitude low pressure belt and the subtropical highs as a result of its latitude (between 36 and 44 N). Another important climatic characteristic of the region is the torrential aspect of rainfalls, mainly during the autumn. Most of the coastal stations have registered daily rainfalls greater than 200 mm (Font 1983). In this study we present a preliminary characterization of the rainfalls in Mediterranean Spain, followed by an objective classification of the daily rainfall patterns and a subdivision of the region in daily rainfall affinity areas.
Iteration Continuous Graph Flow Time ( Continuous ) Discrete neural message passing 1 2 K ... ... Message functions Node Continuous dynamics

In this paper, we propose Continuous Graph Flow, a generative continuous flow based method that aims to model distributions of graph-structured complex data. The model is formulated as an ordinary differential equation system with shared and reusable functions that operate over the graph structure. This leads to a new type of neural graph message passing scheme that performs continuous message passing over time. This class of models offer several advantages: (1) modeling complex graphical distributions without rigid assumptions on the distributions; (2) not limited to modeling data of fixed dimensions and can generalize probability evaluation and data generation over unseen subset of variables; (3) the underlying continuous graph message passing process is reversible and memory-efficient. We demonstrate the effectiveness of our model on two generation tasks, namely, image puzzle generation, and layout generation from scene graphs. Compared to unstructured and structured latent-space VAE models, we show that our proposed model achieves significant performance improvement (up to 400% in negative log-likelihood).
Opportunities for software engineering practices in deploying environmental models to cloud computing architectures

Environmental science involves understanding complex systems and modelling their behaviour using computational models. Developing and executing environmental models requires the use of a large number of computational resources, along with the software tools and frameworks to provide supplementary support. Running such models not only requires the understanding of scientific phenomena but also sufficient experience of using operating systems, supporting software and knowledge of computer architectures. A large number of complex computational applications are taking advantage of the potentially transformative characteristics of cloud computing such as on-demand, scaleable, elastic and heterogeneous services. Environmental modelling, with the exception of a few large community efforts, however has not yet taken advantage of cloud computing or the associated emergent software engineering tools and techniques. This is down to a number of factors including a lack of awareness of the potential of cloud computing, a lack of skills in exploiting cloud facilities and also a lack of support in terms of tools and frameworks to support cloud deployment. In addition, the inherent complexity and ensemble nature of environmental models means deploying them to a cloud infrastructure is not a trivial task. We have identified opportunities from software engineering to simplify this process and abstract away from the underlying architecture complexities. We believe software engineering practices, emergent software engineering tools and cloud computing architecture could have a transformative effect on environmental modelling. Such a paradigm shift can allow scientists to a) spend more of their time concentrating on science rather than systems administration and b) run models more times and orchestrate new ensembles to better understand sensitivities and uncertainties.
Application of differential evolution to passive shunt harmonic filter planning

This paper presents a refined differential evolution (RDE) for passive shunt harmonic filter planning. The purpose is to minimize total costs while satisfying various practical constraints. The substation harmonic voltage sources and load harmonic current sources are considered simultaneously. In addition, practical constraints such as the voltage magnitude limit, total harmonic distortion and the commercially available discrete sizes of the capacitors can be accounted for. The RDE approach together with evolutionary programming (EP) were tested on a 9-bus distribution system. Results obtained show that the proposed RDE method can provide a highly optimal solution within a reasonable time.
Over-the-Air Machine Learning at the Wireless Edge

We study distributed machine learning at the wireless edge, where limited power devices (workers) with local datasets implement distributed stochastic gradient descent (DSGD) over-the-air with the help of a remote parameter server (PS). We consider a bandwidth-limited fading multiple access channel (MAC) from the workers to the PS for communicating the local gradient estimates. Motivated by the additive nature of the wireless MAC, we study analog transmission of low-dimensional gradient estimates while accumulating error from previous iterations. We also design an opportunistic worker scheduling scheme to align the received gradient vectors at the PS in an efficient manner. Numerical results show that the proposed DSGD algorithm converges much faster than the state-of-the-art, while also providing a significantly higher accuracy.
METAPHORIC AND METONYMIC CONCEPTUALIZATIONS OF THE HEAD – A DICTIONARY-BASED CONTRASTIVE ANALYSIS OF ENGLISH AND SERBIAN UDC 811 . 111 ' 373

Within the theoretical framework of Conceptual Metaphor and Metonymy Theory we deal with three metaphoric and metonymic conceptualizations of the HEAD in English and Serbian (THE HEAD IS AN OBJECT; THE HEAD IS A CONTAINER, and THE HEAD STANDS FOR A PERSON) to establish whether they manifest any cross-conceptual, crosslinguistic or cross-cultural differences. Since the mind is embodied, and both English and Serbian are cerebrocentric languages in which the head is seen as the locus of reasoning, we expect to find little difference in the three conceptualizations of the head between the two languages. However, since the mind is also culturally constructed, we hypothesise that the differences will mainly manifest in the linguistic instantiations in the two languages.