Miracle-dz/UniFAR-FTUs huggingface dataset:
How UK local authorities control their subsidiaries: A conundrum in corporate and public governance

The pursuit of greater efficiency in a time of austerity in the past decade has led UK local governments to deliver local services in a new way: using subsidiary companies, many of them taking the form of conventional, non-profit enterprises, rather than outsourcing to private enterprises. The practice has energised service innovation by motivating these new corporate managers to act in entrepreneurial ways alien to the ethos of the civil servants whose work they superseded. It is called “corporatisation”, rather than “privatisation”. However, the rapid spread of the practice has outpaced both our theoretical appreciation of the issues and raised a series of practical concerns about the potential for conflicts of interest and the loss of control. This paper examines the small but growing literature about this phenomenon. Using a combination of theories from corporate governance and ethics, as well as documents from the public policy arena, it develops an agenda for research that will explore the varieties of approach to both the value creation and the governance of this new development.
Efficiency of Broadcast with Network Coding in Wireless Networks

We study network coding for multi-hop wireless networks. In particular, we consider the case of broadcasting: a source transmits information (packets) to all nodes in the network. Wireless communication is modeled as a hypergraph where the same transmission from one node achieves many of its neighbors and we analyze the case where the nodes are arranged on a torus grid. We provide the broadcast capacity of wireless network coding when all nodes have the same transmission rate, with the exception of the source. In order to do this we translate the min-cut problem on a hyper-graph in an equivalent problem of additive combinatorics and we use tools from group theory. In addition, in this case the network coding is ''near optimal'' in terms of energy efficiency.
Pilot Study Investigating the Effectiveness of the Active Workplace Study through a Dissemination Lens

There are many studies demonstrating the health risks associated with low physical activity and sedentary behavior [1-2]. Considering that much of an adult’s time prior to retirement is spent in their work environment [3], researchers have recognized that sedentary work environments play a significant role in a person’s overall level of sedentary behavior and physical activity. Researchers are therefore examining workplace intervention programs aimed to minimize sedentary behavior and improve the overall working environment, including interpersonal and intrapersonal communications between employees and their supervisors. However, in order for this research to positively impact the large population of sedentary workers [4] it is important to assess the feasibility of disseminating the intervention. The purpose of this pilot study is to test the feasibility and an alternate implementation model of the Active Workplace Study, an existing Total Worker Health intervention for call center workers, in a noncall center office setting. The results of the study indicate a slight increase in moderate physical activity at work. Participants underestimated self-reported sitting time overall. In summary the replication of the larger study provided insight into the opportunity for dissemination by demonstrating the need to tailor active workstations for each organization, improved website functioning, and a champion adopter to stimulate and increase the diffusion of the intervention program.
On the Road to Integration? Immigrants Demand for Informal (& Formal) Education

In this paper we study the allocation of time devoted to informal learning and education, i.e. those activities carried out during leisure time and outside formal education courses which boost individuals’ human and social capital. For immigrants the private investment in these activities is likely to have relevant external effects as informal learning and education enhances the likelihood of greater socio-economic integration in the host society. We first develop a simple theoretical framework, which allows us to highlight the different constrains/opportunity costs faced by immigrants as compared with natives. Then, we empirically investigate the determinants of participation in informal education using the American Time Use Data (ATUS; period 2003-2015) which contains detailed information on daily time budgets of a large sample of immigrants and natives in the US. Consistently with a theoretical model of time allocation we find evidence that immigrants are more likely to engage in informal education and, conditionally on participation, they allocate more time to these activities. Over time, immigrants show a higher degree of assimilation into the host society. Our results also highlight heterogeneous patterns across gender.
Two-word and Three-word Disambiguation Rules for Telugu Language Sentences: A Practical Approach

This paper describes Two-word and Three-word Disambiguation Rules for Telugu language sentences, which are written in WX-notation. Generally in real life good number of words, which are having many meanings. If a word has many meanings, then we can call it as a word ambiguity. To resolve a word ambiguity, Natural Language Processing (NLP) system having lot of Word Sense Disambiguation (WSD) [1] methods. Among many methods, here we are proposing rule based method for Word Sense Disambiguation.
Extracting active modules from multilayer PPI network: a continuous optimization approach

Active modules identification has received much attention due to its ability to reveal regulatory and signaling mechanisms of a given cellular response. Most existing algorithms identify active modules by extracting connected nodes with high activity scores from a graph. These algorithms do not consider other topological properties such as community structure, which may correspond to functional units. In this paper, we propose an active module identification algorithm based on a novel objective function, which considers both and network topology and nodes activity. This objective is formulated as a constrained quadratic programming problem, which is convex and can be solved by iterative methods. Furthermore, the framework is extended to the multilayer dynamic PPI networks. Empirical results on the single layer and multilayer PPI networks show the effectiveness of proposed algorithms. Availability: The package and code for reproducing all results and figures are available at https://github.com/fairmiracle/ModuleExtraction.
Trending News Analysis from Online Bangla Newspaper

People are always curios about the trend, everyone wants to find out “what’s going on? ” In the crowd of millions of websites and billions of texts in it, they often get stack. Nowadays newspaper is a media which people read it every day, not only the printed one but also the online version of it. Online newspaper, magazine and blogs are so much active that they provide and update themselves every hour. But what if, a busy person wants to take a look on the web for the recent hit news/Trending News? From this concept, we choose to research how it is possible to get the latest most trending news among all the Bangla online newspapers scattered data and build an automatic model so that it can update itself. Thus, anyone can know what’s the most Trending Topic on the news now.
“Efficient management of working capital: A study of Automobile industry in India”

Working capital plays an important role in any business and is the lifeline of any business. Working capital management is the one of the top issue faced by most of the manufacturing firms. The main objective of this study is to measure the efficiency of working capital of firms in automobile sector in India and also to determine the impact of efficient management of working capital on the profitability of the firms. Top 10 automobile manufacturing firms of India have been selected as a sample for this study. Secondary source of data has been used for this study for 10 years from 2007-2008 to 2016-2017. The result shows that Force Motors is the most efficient firm whereas Ashok Leyland is the least efficient. The result of correlation and regression analysis showed that there is positive relation between efficiency index and profitability of the firms but the impact is not significant which means there are other components also which affects the profitability of the firm and can be undertaken for further studies.
SHAPE SELECTIVITY OF AND SYNTHETIC VISUAL INTELLIGENCE

The process of coding information for face recognition in human is largely remaining unknown. In this study, we carry out few experiments to determine the factors influencing coding mechanism in parahippocampal place area of the brain. The results show some significant outcome toward the shape selectivity of the brain and latter we construct a computational mechanism to mimic the coding features behind face recognition.
El tratamiento informativo del caso Juana Rivas. Hacia una definición de violencia mediática

El caso Juana Rivas ha supuesto un nuevo punto de referencia en la cobertura mediática de violencia de género. Durante el verano de 2017, los medios de comunicación se centraron en la historia de esta mujer y sus hijos. Las circunstancias y peculiaridades del caso derivaron en múltiples noticias y artículos de opinión enfrentados. Este análisis pretende analizar parte de estas informaciones a través de su repercusión en la red social Twitter, como canal de difusión y aprendizaje del ciberfeminismo. Las conclusiones desvelan que en varias circunstancias los medios incumplieron normas precisas legislativas y recomendaciones informativas sobre la violencia de género en España.
A bitrate clustering recognition algorithm for wireless video transmission

The wireless video transmission process, due to the complexity and variability of wireless communication channels, requires the bitrates to be adjusted to match the dynamic wireless channel. An analysis of the video frame quality could be used as an important basis to adjust the wireless video bitrates. In order to recognize different bitrates for wireless video streaming according to the distribution characteristics of the video frame quality, this paper proposes a video bitrate clustering recognition algorithm called BCRA. BCRA can recognize different bitrates by partitioning the frames of the same bitrate into clusters. The proposed algorithm uses the structural similarity (SSIM) between every original and terminal decoding frame to quantify the degradation of structural information with regard to the video frame quality. Then, the algorithm computes the measure of similarity between two neighboring SSIM values, which indicates the similarity of neighboring frames and can be used to partition the video frames into frame intervals. Finally, a clustering algorithm composed of the hierarchical interval division algorithm and the standard deviation ratio based clustering algorithm is proposed to recognize the different bitrates. Experimental results on the LIVE mobile video quality assessment (VQA) database show that the proposed algorithm can recognize the change of video bitrates by analyzing the video frame quality and is consistent with the real bitrates for wireless video transmission.
CT from Motion: Volumetric Capture of Moving Shapes with X-rays and Videos

In this paper, we consider the capture of dense volumetric X-ray attenuation models of non-rigidly moving samples. Traditional 3D medical imaging apparatus, e.g. CT or MRI, do not easily adapt to shapes that deform significantly such as a moving hand. We propose an approach that simultaneously recovers dense volumetric shape and motion information by combining video and X-ray modalities. Multiple colour images are captured to track shape surfaces while a single X-ray device is used to infer inner attenu-ations. The approach does not assume prior models which makes it versatile and easy to generalise over different shapes. Results on synthetic and real-life data are presented that demonstrate the approach feasibility with a limited number of X-ray views. The resulting dense 4D attenuation data provides unprecedented insights for motion analysis.
Vulnerabilities Introduced by Features for Software-based Energy Measurement

The growing need to save energy has led to the introduction of new features into CPUs. Such features allow software-based energy measurement in order to track and limit consumption as necessary, e.g., for green IT. Despite the importance of these new CPU features to datacenters, their consequences on software security are not understood yet. In this article, we investigate a security issue caused by these features, namely software-based energy side channels. We identify a weakness in Bouncy Castle that allows an attacker to distinguish two secret RSA keys based on their induced energy consumption characteristics. Through software-based energy measurement, the attacker can sample the energy consumption even without physical access to the system. We show how very few such samples already give the attacker a high probability of success. From an initial investigation of countermeasures against software-based energy side channels, we conclude that the mitigation of such weaknesses requires further attention.
The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures

This article reports on a calculational approach for combining measures of mental workload and task performance that allows one to obtain information on the relative efficiency of instructional conditions. The method is based on the standardization of raw scores for mental effort and task performance to z scores, which are displayed in a cross of axes. Relative condition efficiency is calculated as the perpendicular distance to the line that is assumed to represent an efficiency of zero. We conclude that the method for calculating and representing relative condition efficiency discussed here can be a valuable addition to research on the training and performance of complex cognitive tasks.
Does health care program participation favor advantageous selection? Some econometric results from insurance company data

In France, since a recent reform, employers have to offer a complementary private health care insurance to workers and insurers have incentives to invest an increasing proportion of insurance premiums in prevention actions. Hence, these contracts are often coupled with a supply of free health prevention program. Since asymmetric information is often advanced as an explanation of the tightness of the Long-term Care (LTC) insurance market, we study these phenomena in the framework of the introduction of these new programs. Starting from the paper of Ehrlich and Becker (1972), we propose a theoretical model to study the equilibrium properties of the trade-off between self-protection and LTC insurance coverage decisions. We show that the presence of prevention program changes the nature of the trade-off between self-protection and insurance coverage decisions: the relation is still undetermined under the general case but becomes substitutable in the specific case of a fair premium. These properties are tested empirically with an original survey data set on policyholders, containing information on behavioral bias and individuals’ preferences, as well as additional information unobservable for the insurer. We show that the ex-ante moral hazard effect is, in reality, driven by (non-rational) individuals’ preferences when we consider nonrationality assumption. In addition, in line with the properties of the theoretical model in the general case, the prevention program encourages both self-protection effort and LTC insurance purchase: advantageous selection, previously unobservable for the insurer, passes through another channel and is consequently revealed. JEL codes: C35, D82, D91, I11, J14
XTreePath: A generalization of XPath to handle real world structural variation

We discuss a key problem in information extraction which deals with wrapper failures due to changing content templates. A good proportion of wrapper failures are due to HTML templates changing to cause wrappers to become incompatible after element inclusion or removal in a DOM (Tree representation of HTML). We perform a large-scale empirical analyses of the causes of shift and mathematically quantify the levels of domain difficulty based on entropy. We propose the XTreePath annotation method to captures contextual node information from the training DOM. We then utilize this annotation in a supervised manner at test time with our proposed Recursive Tree Matching method which locates nodes most similar in context recursively using the tree edit distance. The search is based on a heuristic function that takes into account the similarity of a tree compared to the structure that was present in the training data. We evaluate XTreePath using 117,422 pages from 75 diverse websites in 8 vertical markets. Our XTreePath method consistently outperforms XPath and a current commercial system in terms of successful extractions in a blackbox test. We make our code and datasets publicly available online.
Low dropout regulator

The embodiment of the invention discloses a low dropout regulator. An output end of a first power tube in the low dropout regulator is connected with an input end of a second power tube; a control end of the second power tube is connected with the output end of a mid-value voltage stabilizer; the input end of the mid-value voltage stabilizer is connected with an input power supply; the scope of an input voltage value of the input power supply is more than 0 but less than or equal to 2 times of the maximum working voltage of the first power tube or the second power tube; and a voltage value at the output end of the mid-value voltage stabilizer is a difference value of the input voltage value of the input power supply and the maximum working voltage of the first power tube or the second power tube. According to the technical scheme provided by the embodiment of the invention, the second power tube and the mid-value voltage stabilizer are additionally arranged, so that the scope of the working voltage of the low dropout regulator is effectively widened under the condition of only using the power tube with low threshold voltage, the low dropout regulator and the other circuits are more easily integrated onto a same chip, and thus the cost is greatly lowered.
Educational Challenges of the Economy of Knowledge

The article is devoted to the formation of an approach to modern education in the conditions of the "new" economy the "housekeeper of knowledge", which provides the use of "change management" to improve the efficiency of an organization. Particular attention is paid to the analysis of modern education formats that are relevant in the context of the knowledge economy, as well as areas of improvement of Russian university education. The educational formats are considered. The attention is paid to their characteristic features, features and conditions of use. The existing educational format of modern Russian education and the main features of “free education” model, which is used in leading Western universities, are critically analyzed. In the framework of the latter model, the options of an open curriculum, a system of distribution requirements and the so-called “nuclear program” are considered. The possibilities of introducing them in modern Russian realities are investigated.
Nurses’ Perception of Factors that Affect Social Engagement among Older person in the Community

: Nurses who are working with elderly play an important role in promoting social participation among the senior resident in the community, their perception towards elderly isolation is crucial in order to guide them in shaping their role. The nurses’ perception of social isolation among elderly in the community was explored through a descriptive qualitative research approach. A focus group interview were used to collect data from 10( into two group ) register nurses who work with older person in the community setting. Non probability, purposive sampling were used to recruit participants. The data were collated and thematically code, analyse and then present. Data were categorised into themes as they emerged. Six main themes derived from this focus group interview, These were: socio-environmental, health status, interpersonal relationship, Personality and cultural and Financial status. Social engagement among older person is affected by socialisation among the older community. Sharing same cultural and religious practice may enhance social connection among the older person. Health care provider should plan short term strategies to enhance participation in communities and should consider long term plan to empower them.
Classification of Text Documents Using a Logical Analysis Approach.

The main problem investigated in this dissertation is as follows: Given are two samples of documents each from one of two disjoint collections of documents. The question is how to obtain a set of patterns of text features that make a document in the two samples (and other unclassified documents) to be classified correctly in one and only one document class. A sample of 2,897 documents from the TIPSTER collection was used to investigate this problem. This problem was divided into the following four subproblems. The first subproblem consists of identifying the set keywords to describe the documents' content. Computational results of twenty experiments suggested that single-word keywords addressed the main problem effectively. The second subproblem requires a methodology to construct classification rules to infer the class of unclassified documents. A logical analysis approach called the One Clause At a Time algorithm (OCAT) is used to address this problem. Its accuracy is compared to the one of the Vector Space Model (VSM), a benchmarking methodology in document classification processes. Under identical experimental conditions, some computational results suggests that the OCAT algorithm is more accurate than the VSM to solve the main problem. The third subproblem consists of providing a methodology to construct better rules as more documents become available. This problem has been investigated using the OCAT algorithm under a guided and a random teaming approach. Computational results on three samples of 510 documents indicate that the guided teaming approach constructs more accurate rules. In the fourth subproblem an incremental version of the OCAT algorithm is required. The algorithm is needed to speed up the construction of the classification rules. Computational results on three samples of 336 documents each show that: (i) the classification rules become accurate more rapidly, (ii) the CPU times are substantially reduced, and ( iii) the rules become more complex as more documents were added to the experiment. In summary, the results of this research suggest with high confidence that the incremental OCAT algorithm can perform better than the VSM and that it can deliver better and faster results for the classification of large collections of documents.