Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovering Spam On Twitter

DISCOVERING SPAM ON TWITTER by Ioana-Alexandra Bara A Thesis submitted in partial fulfillment of the requirements for the degree ofMaster of Science at Virginia Commonwealth University Virginia Commonwealth University, 2014. Director: Dr. Carol Fung, Dr. Krzysztof Cios, Department of Computer Science Twitter generates the majority of its revenue from advertising. Third parties pay to have their products advertised on Twitter through: tweets, accounts and trends. However, spammers can use Sybil accounts (fake accounts) [21] to advertise and avoid paying for it. Sybil accounts are highly active on Twitter performing advertising campaigns to serve their clients [5]. They aggressively try to reach a large audience to maximize their influence. These accounts have similar behavior if controlled by the samemaster. Most of their spam tweets include a shortened URL to trick users into clicking on it. Also, since they share resources with each other, they tend to tweet similar trending topics to attract a larger audience. However, some Sybil accounts do not spam aggressively to avoid being detected [22], rendering it difficult for traditional spam detectors to be effective in detecting low spamming Sybil accounts. In this paper, I investigate additional criteria to measure the similarity between accounts on Twitter. I propose an algorithm to define the correlation among accounts by investigating their tweeting habits and content. Given known labeled accounts by spam detectors, this approach can detect hidden accounts that are closely related to labeled accounts but are not detected by traditional spam detection approaches.
TLRec:Transfer Learning for Cross-Domain Recommendation

In the era of big data, the available information on the Internet has overwhelmed the human processing capabilities in some commercial applications. Recommendation techniques are indispensable to predict user ratings on items in terms of historical data and deal with the information overload. In many applications, the problem of data sparsity usually results in overfitting and fails to give desirable performance. Therefore, many works have started to investigate the techniques of cross-domain recommendation to overcome the challenge. However, it is not trivial. In this paper, we propose a transfer learning algorithm, named TLRec, for cross-domain recommendation, which exploits the overlapped users and items as a bridge to link different domains and implements knowledge transfer. We learn parameters based on the defined empirical prediction error, smoothness and regularization of user and item latent vectors. We also establish a relation between TLRec and vertex vectoring on bipartite graphs. The experimental result illustrates that TLRec has promising performance and outperforms several state-of-the art approaches on a real dataset.
Reactive power and voltage emergency control strategy of large-scale grid-connected wind farm

As frequent occurrence of large-scale wind turbines cascading disconnection to the power grid, it's urgent to study the causes of as well as corresponding preventing strategy to these accidents. A real wind power delivery case with detailed power network topology and parameters is modeled, and based on it the transient process of large-scale wind turbines cascading disconnection is recurred. The dynamic reactive power response capabilities of wind turbines and reactive power compensation devices during the transient process are analyzed. A reactive power and voltage emergency control strategy of overall process with the consideration of above dynamic reactive power response capabilities is proposed. In the proposed emergency control strategy, the grid-side converters of wind turbines are utilized to dynamically provide reactive power to the grid to mitigate voltage drop in real time. In addition, reactive power compensation devices are actively disconnected to the grid before fault removal to restrain the transient overvoltage, and then reconnected to the grid according to voltage level in recovering period to provide reactive power support. The simulation validates the feasibility and effectiveness of the proposed control strategy.
The Future of Business Groups in Emerging Markets: Long Run Evidence from Chile

We demonstrate variation in the extent to which firms benefit from their affiliation with Chilean business groups in the 1988-1996 period. The net benefits of unrelated diversification are positive if group diversification exceeds a threshold level, though this threshold increases with time. We find evidence of non-diversification related group benefits, which atrophy over time. We conjecture that the evolution of institutional context alters the value creating potential of business groups, though it does so slowly.
Validation of a magnetic network-based dynamic model of permanent magnet linear synchronous machine built by finite reluctance approach

The finite reluctance approach is very well suited for fast modeling and dynamic simulation of permanent magnet synchronous machines with inverter feeding. This paper shows validating simulations, in both steady-state and transient conditions, carried out for a permanent magnet linear motor designed for on board ship load actuation. The basics of the method are resumed. The simulations obtained by using the finite reluctance approach are compared with FEM simulations, showing good agreement.
Benefits and risks of strategic collaboration : the differential role of a firm’s network structure in the creation of core and non-core technologies

Most of the literature until now has emphasized and demonstrated the benefits of alliances for learning and innovation. Although it has been acknowledged that these competence-based benefits of collaboration may come at a price of elevated risks formed by knowledge spillovers and freeridership, such a governance view remains understudied. This study offers a coherent framework that combines the two perspectives and explains how a firm’s alliance network structure affects both benefits as risks of collaboration and to what degree that differs between the creation of core and non-core technology. Based on an empirical test in three different industries (pharmaceuticals, chemicals and automotive), we predict and find that the differential effect of a firm’s network structure on the creation of core and non-core technology depends on whether firms especially value the potential for reducing relational risks of collaboration (in case of core technology) or, alternatively, place more emphasis on competence based benefits formed by improved access to external knowledge and capabilities (in case of non-core technology). In this way, our study demonstrates that it is the combination of a competence and governance perspective that yields a more complete understanding of interfirm collaboration.
Interpreting phenotypic antibiotic tolerance and persister cells as evolution via epigenetic inheritance

Epigenetic inheritance is the transmission of nongenetic material such as gene expression levels, RNA and other biomolecules from parents to offspring. There is a growing realization that such forms of inheritance can play an important role in evolution. Bacteria represent a prime example of epigenetic inheritance because a large array of cellular components is transmitted to offspring, in addition to genetic material. Interestingly, there is an extensive and growing empirical literature showing that many bacteria can form ‘persister’ cells that are phenotypically resistant or tolerant to antibiotics, but most of these results are not interpreted within the context of epigenetic inheritance. Instead, persister cells are usually viewed as a genetically encoded bet‐hedging strategy that has evolved in response to a fluctuating environment. Here I show, using a relatively simple model, that many of these empirical findings can be more simply understood as arising from a combination of epigenetic inheritance and cellular noise. I therefore suggest that phenotypic drug tolerance in bacteria might represent one of the best‐studied examples of evolution under epigenetic inheritance.
On the Timeliness of Price Discovery

Price discovery is the process whereby value-relevant, private information becomes impounded or reflected in a stock's publicly-observable market price. The timeliness of price discovery refers to how quickly that process takes effect. There is no reason to believe either that all private information is discovered equally quickly or that price discovery is equally speedy for all firms. The latter observation suggests it would be worthwhile knowing why the timeliness of price discovery differs across firms, even the more so in an environment where all listed companies by law must disclose most material price-sensitive information as soon as they become aware of it. The other observation, that not all private information is discovered equally quickly, implies we should focus on a material, periodic event when we compare timeliness across firms. A good candidate is the announcement of the company's annual results, since for many years is has been known that annual earnings alone captures at least half the value-relevant information released by the average firm over the 12 months leading up to this date. We use various approaches to explore measures of timeliness and what they can tell us. We review a number of studies that have considered various aspects of timeliness in different countries and extend and contrast their findings. We also examine the relationship between the timeliness of price discovery and analogous measures based upon firms' formal disclosures to the share market and upon analysts' consensus earnings forecasts. Finally, we report on an issue of major concern to regulators and market operators, namely the influence of corporate governance on the timeliness of price discovery.
Central Public-Private Partnership (PPP) Development Facility for Enhancing Government Obligation and Efficiency in PPP Project

The implications of public-private partnership (PPP) concept has gained utmost attention from different governments around the world because of the opportunities inherent in it in terms of overcoming budgetary constraints, improved service quality, enhanced efficiencies in procurement and risk management, and prospects of generating managerial and technical capabilities. The government obligations in PPP projects are often limited to feasibility study, transaction support and implementing linked government or public sector projects which subsequently raise the question regarding how the required funds should be mobilized by the government for these services as upfront development cost. Generally, any government agency driving a PPP project has to secure budgetary allocation from the central authority for performing the government-side obligations, which is often a complicated and time consuming process due to other priorities of the central treasury. To overcome this challenge, establishment of a central PPP development facility by the government is required. The ability to create and manage such a facility within the government mechanism will ensure seamless development and implementation of PPP projects by different government agencies and will contribute to foster a good relationship between the government and the private sector investors.
Ontology Oriented Computation of English Verbs Metaphorical Trait

Research on metaphor has generally focused on exploring its context-dependent behavior and function. This current study aims to testify the postulate of English verb's innate trait of Metaphor Making potential. This paper intends to carry out an in-depth case study of a group of English core verbs using WordNet and SUMO ontology. In order to operationalize the assessment of an English verb's metaphor making potential, a refined algorithm has been developed, and a program made to realize the computation. At last, it is observed that higher frequency verbs generally possess greater metaphor making potential; while a verb's metaphor making potential on the other hand is also strongly influenced by its functional categories. As a preliminary context-free experiment with metaphor, this research foresees the possibility of providing an annotation schema for critical discourse analysis and a new parameter for scaling the difficulty level of reading comprehension of English texts.
First Results from BISTRO: A SCUBA-2 Polarimeter Survey of the Gould Belt

We present the first results from the B-fields In STar-forming Region Observations (BISTRO) survey, using the Sub-millimetre Common-User Bolometer Array 2 camera, with its associated polarimeter (POL-2), on the James Clerk Maxwell Telescope in Hawaii. We discuss the survey’s aims and objectives. We describe the rationale behind the survey, and the questions that the survey will aim to answer. The most important of these is the role of magnetic fields in the star formation process on the scale of individual filaments and cores in dense regions. We describe the data acquisition and reduction processes for POL-2, demonstrating both repeatability and consistency with previous data. We present a first-look analysis of the first results from the BISTRO survey in the OMC 1 region. We see that the magnetic field lies approximately perpendicular to the famous “integral filament” in the densest regions of that filament. Furthermore, we see an “hourglass” magnetic field morphology extending beyond the densest region of the integral filament into the less-dense surrounding material, and discuss possible causes for this. We also discuss the more complex morphology seen along the Orion Bar region. We examine the morphology of the field along the lower-density northeastern filament. We find consistency with previous theoretical models that predict magnetic fields lying parallel to low-density, non-self-gravitating filaments, and perpendicular to higher-density, self-gravitating filaments.
Impact of Subclinical Acute Rejection on Renal Graft Function: Results of Three-Year Follow-Up

Notwithstanding that in the last years the immediate results of kidney transplantation have been improved, there has been no adequate improvement of long-term results. Therefore, more attention is being paid to the so-called subclinical rejections of renal grafts, detected by protocol biopsies, as a possible factor affecting renal function in late period. The aim of this study was to determine the frequency of subclinical rejections and their impact on further renal graft function. Within the frame of the study 40 protocol biopsies were performed in 26 patients with immediate and stable renal graft function. In 17 (65.4%) of them a subclinical rejection of IA-IIA degree was detected. In nine patients with subclinical rejection, treatment with steroids was applied, while eight recipients did not receive any additional therapy. In follow-up, in a period of three years there was no statistically significant difference in blood creatinine level, glomerular filtration rate, number of clinical rejections during the monitoring period, and three-year survival of the transplanted kidney in patients, regardless of where the treatment of subclinical rejection was applied. The results of our study did not indicate any impact of subclinical rejection on renal graft function in the late post-operation period. Neraugoties uz to, ka pēdējā laikā nieres transplantācijas rezultāti agrīnajā pēcoperācijas periodā uzlabojas, līdzīgi panākumi vēlīnajā periodā nav sasniegti. Līdz ar to arvien vairāk uzmanības tiek pievērsts ar protokola biopsijām atklātām subklīniskajām atgrūšanas reakcijām kā iespējamam faktoram, kas ietekmē nieres funkciju vēlīnajā periodā. Darba mērķis bija noteikt subklīniskas atgrūšanas reakcijas sastopamību un ietekmi uz nieres transplantāta funkciju. Pētījuma ietvaros tika veiktas 40 protokola biopsijas 26 pacientiem ar primāru un stabilu nieres transplantāta funkciju. No tiem 17 pacientiem tika konstatēta subklīniskas atgrūšanas reakcijas IA-IIA pakāpe. Deviņiem pacientiem subklīniska atgrūšanas reakcija tika ārstēta ar steroīdiem, bet astoņiem pacientiem papildus ārstēšana netika pielietota. Novērojot pacientus trīs gadus, seruma kreatinīna līmenis, glomerulāras filtrācijas ātrums, klīniskas atgrūšanas reakciju skaits un trīs gadu transplantātu dzīvildze statistiski neatšķīrās pacientiem ar ārstētām un neārstētām subklīniskām atgrūšanas reakcijām. Veiktajā pētījumā subklīnisko atgrūšanas reakciju ietekme uz nieres transplantāta funkciju vēlīnā pēcoperācijas periodā netika konstatēta.
Visual Signals in the Retina: From Photons to Synapses

The ability to see the world around us is an immediate and striking example of the abilities of the nervous system, and perhaps for this reason, vision is one of the most intensively studied aspects of brain function (Hubel, 1995). This paper examines some of the earliest steps in vision occurring in the retina (Dowling, 1987; Rodieck, 1998).
Coping subtypes for men with coronary heart disease: relationship to well-being, stress and Type-A behaviour

Synopsis We used cluster analysis to delineate coping subtypes in a sample of 166 men with coronary heart disease who completed the Antwerp out-patient rehabilitation programme. These subtypes were identified on the basis of three well-defined superordinate traits that were selected from a comprehensive taxonomy: negative affectivity, social inhibition, and self-deception. Using Ward's minimum variance method and the cubic clustering criterion, we identified four coping subtypes; low-negative affectivity (N = 48), high-negative affectivity (N = 30), inhibited (N = 62), and repressive (N = 26) individuals. The accuracy of the resulting classification was demonstrated across parallel data sets and was further validated against external, health-related correlates that were not included in the clustering. The identified coping subtypes were significantly related to self-reports of subjective distress/perceived stress, ratings of Type A behaviour and anger-in, return to work, prevalence of chest-pain complaints, and use of minor tranquillizers and sleeping pills. The major findings of this study suggest that (a) male coronary patients represent a heterogeneous population with distinctly different coping subtypes, and that (b) a relatively small number of homogeneous subtypes can account for a substantial amount of variance in subjective well-being, coronary-prone behaviour, and return to work. These findings indicate that psychosomatic research should focus on how superordinate traits interact within individuals and corroborate the appropriateness of a class model to describe coping styles of male coronary patients. It is argued that discrepant findings across studies of Type-A behaviour and hostility may be related to the coping subtypes of the subject sample. Further attempts to cross-validate this classification scheme and to examine its health-related correlates are needed.
The behavioural phenotype of Angelman syndrome.

BACKGROUND The purpose of this review is to examine the notion of a behavioural phenotype for Angelman syndrome and identify methodological and conceptual influences on the accepted presentation. METHODS Studies examining the behavioural characteristics associated with Angelman syndrome are reviewed and methodology is described. RESULTS Potential bias in the description of the phenotype emerges with the use of case and cohort studies with the absence of comparison groups. A trend in the literature from a direct gene effect to a socially mediated effect on laughter is evident. CONCLUSION Evidence for a behavioural phenotype of Angelman syndrome has begun to emerge. However, by adopting the concept of a 'behavioural phenotype', attention may become biased towards the underlying biological basis of the syndrome, with developmental and environmental factors being overlooked.
Cognitive Functioning in Patients with Cerebral Aneurysms Measured with the Mini Mental State Examination and the Telephone Interview for Cognitive Status

BACKGROUND:Clinicians and researchers use brief instruments, such as the Mini Mental State Examination (MMSE) and the Telephone Interview for Cognitive Status (TICS), to measure cognitive functioning in patients with cerebral aneurysms. MMSE and TICS scores are often dichotomized to classify patients as cognitively impaired or not. Frequently, after an initial MMSE face-to-face evaluation, the TICS is used for follow-up assessments by telephone. METHODS:A cross-sectional cohort of patients with cerebral aneurysms completed the MMSE at baseline and the MMSE or TICS at the 12-month follow-up examination. Multivariate logistic regression adjusting for demographics was used to model cognitive impairment. MMSE and TICS results were compared using the MMSE as the “gold standard. ” RESULTS:Eleven out of 171 (6%) patients had baseline MMSE scores less than 24, indicating cognitive impairment. Multivariate analysis showed that a history of subarachnoid hemorrhage was associated with cognitive impairment measured with the MMSE (odds ratio, 13.9; P = 0.021; C statistic = 0.87); there was no relationship between subarachnoid hemorrhage or treatment and TICS cognitive impairment (i.e., score < 27). In patients without recent or interim invasive interventions that might affect cognition (n = 65), raw baseline MMSE and 12-month TICS scores had fair correlations (r = 0.30, P = 0.015); however, dichotomized scores had poor agreement, and TICS sensitivity and positive predictive value was 0% compared with the MMSE. CONCLUSION:The MMSE may be more sensitive than the TICS to the effects of subarachnoid hemorrhage on cognitive functioning. Raw MMSE and TICS scores are well correlated, but dichotomized MMSE and TICS scores are probably not interchangeable in this patient population.
The Impacts of Knowledge Management Practices on Balanced Score Card: An empirical Investigation in Small-Meduim-Size Manufacturing Companies.

This study aims at measuring the impact of knowledge management operations practices on performance by using Balanced score card in Small-Medium-Size Manufacturing. The population of this study consists of (8690) Small-medium-sized manufacturing companies in Amman Provence in all the sectors. A purposive sample consists of (649) companies’ workings at the clothing sector were chosen. This study used the survey as a method of data collection. The results revealed that there is an impact for knowledge management operations practices on: using financial indicators as one of balanced score card dimensions. On using internal operations indicators as one of balanced score card dimensions, on using customers’ indicators as one of balanced score card dimensions. On using growth and learning indicators as one of balanced score card dimensions. On using employees’ indicators as one of balanced score card dimensions, on using environment indicators as one of balanced score card dimensions. Based on the results, a set of recommendations and suggestions were provided for both companies and researchers.