Miracle-dz/UniFAR-FTUs huggingface dataset:
Large Scale Sentiment Analysis on Twitter with Spark

Sentiment analysis on Twitter data has attracted much attention recently. One of the system’s key features, is the immediacy in communication with other users in an easy, user-friendly and fast way. Consequently, people tend to express their feelings freely, which makes Twitter an ideal source for accumulating a vast amount of opinions towards a wide diversity of topics. This amount of information oers huge potential and can be harnessed to receive the sentiment tendency towards these topics. However, since none can invest an innite amount of time to read through these tweets, an automated decision making approach is necessary. Nevertheless, most existing solutions are limited in centralized environments only. Thus, they can only process at most a few thousand tweets. Such a sample, is not representative to dene the sentiment polarity towards a topic due to the massive number of tweets published daily. In this paper, we go one step further and develop a novel method for sentiment learning in the Spark framework. Our algorithm exploits the hashtags and emoticons inside a tweet, as sentiment labels, and proceeds to a classication procedure of diverse sentiment types in a parallel and distributed manner. Moreover, we utilize Bloom lters to compact the storage size of intermediate data and boost the performance of our algorithm. Through an extensive experimental evaluation, we prove that our solution is ecient, robust and scalable and conrm the quality of our sentiment identication.
Why did you take this photo: a study on user intentions in digital photo productions

Why do people take pictures? While substantial work has been done on the intentions of people producing photos in specific domains (e.g. Flickr users or mobile phone cameras) the general case - arbitrary users taking photos with arbitrary devices - has not yet been investigated in detail. In this short paper, we present an exploratory study on the intentions and goals of people taking digital photos. 40 different specific photo taking situations of 10 people where investigated. We classified the situations and reflected them into context of existing work to investigate the applicability and usefulness of classifications existing for specific domains. Our findings show that applicability of existing models for small domains is limited and they indicate the need of a generalized taxonomy. We further identify hypotheses and research questions for future work in this area.
Kinematics of the parsec-scale radio jet in 3C 48

We present results on the compact steep-spectrum quasar 3C 48 from observations with the Very Long Baseline Array (VLBA), the Multi-Element Radio Linked Interferometer Network (MERLIN) and the European Very long baseline interferometry (VLBI) Network (EVN) at multiple radio frequencies. In the 1.5-GHz VLBI images, the radio jet is characterized by a series of bright knots. The active nucleus is embedded in the southernmost VLBI component A, which is further resolved into two sub-components A1 and A2 at 4.8 and 8.3 GHz, respectively. A1 shows a flat spectrum and A2 shows a steep spectrum. The most strongly polarized VLBI components are located at component C ~ 0.25 arcsec north of the core, where the jet starts to bend to the north-east. The polarization angles at C show gradual changes across the jet width at all observed frequencies, indicative of a gradient in the emission-weighted intrinsic polarization angle across the jet and possibly a systematic gradient in the rotation measure; moreover, the percentage of polarization increases near the curvature at C, likely consistent with the presence of a local jet–interstellar-medium interaction and/or changing magnetic-field directions. The hot spot B shows a higher rotation measure, and has no detected proper motion. These facts provide some evidence for a stationary shock in the vicinity of B. Comparison of the present VLBI observations with those made 8.43 yr ago suggests a significant northward motion for A2 with an apparent transverse velocity β_(app)= 3.7 ± 0.4c. The apparent superluminal motion suggests that the relativistic jet plasma moves at a velocity of ≳ 0.96c if the jet is viewed at an inclination angle less than 20°. A simple precessing jet model and a hydrodynamical isothermal jet model with helical-mode Kelvin–Helmholtz instabilities are used to fit the oscillatory jet trajectory of 3C 48 defined by the bright knots.
Is vascular endothelial growth factor a useful biomarker in giant cell arteritis?

Objectives To assess the performance of circulating vascular endothelial growth factor (VEGF) levels as a tool for diagnosing giant cell arteritis (GCA) in a cohort of patients referred for assessment of suspected GCA. Methods We selected 298 patients recruited to the multicentre study Temporal Artery Biopsy versus Ultrasound in diagnosis of suspected GCA (TABUL). In a random subset of 26 biopsy-proven GCA cases and 26 controls, serum from weeks 0, 2 and 26 was analysed for VEGF concentration using ELISA. VEGF concentration at week 0 was used to generate a receiver-operating characteristic curve and thereby identify a cut-off for an abnormal result which was used to analyse the full patient cohort. Sections of paraffin-embedded temporal artery were stained by immunohistochemistry for VEGF. Results The mean (95% CI) VEGF concentration at week 0 was 873 pg/mL (631 to 1110) in 26 patients versus 476 pg/mL (328 to 625) in 26 controls (p=0.017). This difference was not observed at any other time point. The optimal cut-off of 713 pg/mL was applied to the whole patient cohort (n=298), yielding sensitivity of 32% and specificity of 85%. This was not improved by combination with any clinical parameters. When patients with biopsy-proven GCA were compared with controls, sensitivity was 58% and specificity remained 85%. Sections of biopsy from biopsy-positive GCA showed intense staining in the adventitia which was not seen in controls. Conclusions Serum VEGF concentration predicts biopsy positivity but is not useful for differentiating clinical cases of GCA from controls. Further studies into VEGF as a prognostic marker and therapeutic target are warranted. Trial registration number NCT00974883; Post-results.
EMSCLOUD – an evaluative model of cloud services cloud service management

Cloud computing is considered a paradigm both technology and business. Its widespread adoption is an increasingly effective trend. However, the lack of quality metrics and audit of services offered in the cloud slows its use, and it stimulates the increase in focused discussions with the adaptation of existing standards in management services for cloud services offered. This article describes the EMSCloud, that is an Evaluative Model of Cloud Services following interoperability standards, risk management and audit of cloud IT services. Aims to present that is possible to assess the life cycle of services offered in the cloud in the technical dimensions of usability, good practices and economic viability.
A comparison of cardiovascular risk factors for ten antipsychotic drugs in clinical practice

It is well known that abdominal obesity, dyslipidemia, and insulin resistance are highly prevalent in patients receiving maintenance treatment with antipsychotics, but there is limited knowledge about the association between cardiovascular risk factors and treatment with antipsychotic drugs. In this naturalistic study we investigated a sample of 809 antipsychotic-treated patients from Swedish psychosis outpatient teams. Cardiovascular risk factors (eg, metabolic syndrome, homeostasis model assessment of insulin resistance, and low-density lipoprotein values) were measured, and their associations to current antipsychotic pharmacotherapy were studied. Ten antipsychotic drugs were compared in a stepwise logistic regression model. For the patients, the presence of the components of metabolic syndrome ranged from 35% for hyperglycemia to 64% for elevated waist circumference. Hypertriglyceridemia was associated with clozapine (odds ratio [OR] = 1.81, 95% confidence interval [CI] 1.08–3.04), reduced high-density lipoprotein with both clozapine and olanzapine (OR = 1.73, 95% CI 1.01–2.97; and OR = 2.03, 95% CI 1.32–3.13), hypertension with perphenazine (OR = 2.00, 95% CI 1.21–3.59), and hyperglycemia inversely with ziprasidone (OR = 0.21, 95% CI 0.05–0.89) and positively with haloperidol (OR = 2.02, 95% CI 1.18–3.48). There were no significant relationships between any of the antipsychotic drugs and increased waist circumference, homeostasis model assessment of insulin resistance, or low-density lipoprotein levels. In conclusion, treatment with antipsychotic drugs is differentially associated with cardiovascular risk factors, even after adjusting for waist circumference, sex, age, and smoking.
Equity Crowdfunding for Investors: A Guide to Risks, Returns, Regulations, Funding Portals, Due Diligence, and Deal Terms

Foreword ix Preface: The New Angel Investors xv Definitions of Key Terms xxv Acknowledgments xxvii About the Authors xxix CHAPTER 1 The Foundations of Online Crowdfunding 1 CHAPTER 2 Equity Offering Platforms (under Regulation D) 19 CHAPTER 3 Equity Crowdfunding 49 CHAPTER 4 Intrastate Equity Crowdfunding 69 CHAPTER 5 Deal Flow 81 CHAPTER 6 Angel Investors 95 CHAPTER 7 Equity Crowdfunding Portals 117 CHAPTER 8 How to Invest, Part I: Portfolio Strategy 135 CHAPTER 9 How to Invest, Part II: Identify Suitable Offerings 153 CHAPTER 10 Equity Crowdfunding Securities 163 CHAPTER 11 Deal Terms 175 CHAPTER 12 How to Invest, Part III: Due Diligence 205 CHAPTER 13 How to Invest, Part IV: Funding and Postfunding 233 CHAPTER 14 Liquidity and Secondary Markets 243 Epilogue: Trends and Innovations 253 Equity Crowdfunding Resources 255 About the Companion Website 259 Index 261
Alterations of the WNT7A Gene in Clear Cell Renal Cell Carcinomas

WNT7A (wingless-type MMTV integration site family, member 7A) is a known tumor suppressor gene of non-small cell lung carcinomas (NSCLC) and is frequently inactivated due to CpG-island hypermethylation in human cancers. The members of WNT family are involved in cell signaling and play crucial roles in cancer development. In the present work hypermethylation of the WNT7A gene was detected in 66% (29/44) of analyzed clear cell renal cell carcinomas (RCCs) using methyl-specific PCR (MSP). Moreover, bisulfite sequencing confirmed intensive hypermethylation of the 5′-CpG island of the WNT7A gene. Methylation analysis revealed positive correlations between tumor stage, Fuhrman nuclear grade and WNT7A hypermethylation. Additionally, restoration of WNT7A gene expression in the A498 cell line by 5-aza-2′-deoxycytidine treatment confirmed a direct contribution of hypermethylation in silencing of the WNT7A gene. High frequency of loss of heterozygosity (LOH) was demonstrated on chromosome 3p25 in regions surrounding the WNT7A gene. The frequent down-regulation of WNT7A gene expression was detected in 88% (15/17) of clear cell RCCs. We have also shown that the WNT7A gene possesses tumor suppression function by colony-formation and cell proliferation assays in RCC cell lines. In summary, the WNT7A gene is inactivated by genetic/epigenetic alterations in clear cell RCC and demonstrates tumor suppressor properties.
The Irish Catholic diaspora in America

The author's work traces the experience of Irish-American Catholics from their beginnings as detested, unskilled pioneers of the urban ghetto to their rise as an essentially affluent, powerful, middle-class suburban community. Blending his work and the contributions of other scholars, McCaffrey here adds fresh interpretations to the history of Irish American Catholics. He focuses on a number of topics, including the significance of Catholicism as the core of Irish ethnicity and the source of nativist attacks on their presence in the United States; the impact of Irish America on the course of Irish nationalism; the psychological struggle to reconcile Irish loyalties to an authoritarian religion and a liberal-democratic politics; and, more recently, the fading of the Catholic dimension of Irish identity.
Development of the Sleep Quality Scale

Sleep quality affects health and the overall quality of life. As the factors that influence sleep quality and their relative importance vary among individuals, a self-report method is essential. Although various questionnaires have been used to assess sleep quality, few all-inclusive assessment scales have been developed. Therefore, the purpose of this study was to develop an instrument for measuring sleep quality and to study its validity and reliability. A Sleep Quality Scale (SQS) was developed using item analysis and factor analysis on items with content validity. SQS, composed of 28 items and six factors, accounted for 62.6% of the total variance. The difference of SQS score between insomniacs and normal subjects confirmed the construct validity (t 1⁄4 )13.8, P 1⁄4 0.000). Concurrent validity was identified by the significant correlation of SQS with the Pittsburgh Sleep Quality Index (r 1⁄4 0.72, P 1⁄4 0.000). The Cronbach’s alpha coefficient was 0.92 for internal consistency and the correlation coefficient was 0.81 for test–retest reliability at a 2-week interval. The developed SQS was therefore confirmed to be a valid and reliable instrument for the comprehensive assessment of sleep quality.
Amniotic Fluid Cathelicidin in PPROM Pregnancies: From Proteomic Discovery to Assessing Its Potential in Inflammatory Complications Diagnosis

Background Preterm prelabor rupture of membranes (PPROM) complicated by microbial invasion of the amniotic cavity (MIAC) leading to histological chorioamnionitis (HCA) significantly impacts perinatal morbidity. Unfortunately, no well-established tool for identifying PPROM patients threatened by these disorders is available. Methodology/Principal Findings We performed an unbiased exploratory analysis of amniotic fluid proteome changes due to MIAC and HCA. From among the top five proteins that showed the most profound and significant change, we sought to confirm results concerning cathelicidin (P49913, CAMP_HUMAN), since an ELISA kit was readily available for this protein. In our exploratory proteomic study, cathelicidin showed a ∼6-fold higher concentration in PPROM patients with confirmed MIAC and HCA. We verified significantly higher levels of cathelicidin in exploratory samples (women without both MIAC and HCA: median 1.4 ng/ml; women with both conditions confirmed: median 3.6 ng/ml; p = 0.0003). A prospective replication cohort was used for independent validation and for assessment of cathelicidin potential to stratify women with MIAC leading to HCA from women in whom at least one of these conditions was ruled out. We confirmed the association of higher amniotic fluid cathelicidin levels with MIAC leading to HCA (the presence of both MIAC and HCA: median 3.1 ng/ml; other women: median 1.4 ng/ml; p<0.0001). A cathelicidin concentration of 4.0 ng/ml was found to be the best cut-off point for identifying PPROM women with both MIAC and HCA. When tested on the validation cohort, a sensitivity of 48%, a specificity of 90%, a likelihood ratio of 5.0, and an area under receiver-operating characteristic curve of 71% were achieved for identification of women with MIAC leading to HCA. Conclusions Our multi-stage study suggests cathelicidin as a candidate marker that should be considered for a panel of amniotic fluid proteins permitting identification of PPROM women with MIAC leading to HCA.
Modeling fuzzy rules for managing power consumption of ethernet switch

Surveys in ISP and telecommunication companies around the world showed that power consumption of network significantly elevated over the years. Furthermore, studies indicated that major contributors to the power consumption of network are the power consumed by routers and switch during the runtime. Therefore, minimizing the power consumption of these network equipments is becoming an issue of increasing importance in the field of green network. To minimize the power consumption of the network, it is important to identify the relationship between network parameters and their effect on power consumption of the network equipments. The objective of this paper is to propose a method, based on fuzzy logic, to identify this relationship and use it to predict/ estimate the saving of power consumption when deploying new network equipments. Moreover, it can also be developed as a strategy to control the desired level of power consumption by tuning the network parameters. This study only focuses on impact of four network parameters, which are bandwidth, number of connections, traffic-load, and hibernation-mode, to the power consumption of an Ethernet switch. A test bed of extensive experimentations is implemented in order to measure the data to cover all possible combination of scenarios.
A Pilot Study on Teleoperated Mobile Robots in Home Environments

Mobile robots operating in home environments must deal with constrained space and a great variety of obstacles and situations to handle. This article presents a pilot study aiming at identifying design specifications of a new user interface and robot specifications to improve efficiency and security for novice teleoperators of a mobile robot used in home environments. This pilot study is part of the familiarization phase of an iterative interdisciplinary design process aiming at outlining critical design and experimental issues before engaging into detailed design processes, elaborated experimental methodology and rigorous testing of the various capabilities of mobile robots for home care applications. We evaluated, with a small set of trained and untrained operators, two conceptually different user interfaces for teleoperated mobile robotic systems. These results demonstrate the challenges and the necessity of conducting trials in home environments to evaluate such teleoperated systems, and outline distinct preferences regarding robot capabilities, user interface navigation method and evaluation methodology
A pilot survey for KX QSOs in the UKIDSS Ultra Deep Survey Field

We have undertaken a pilot survey for faint quasi-stellar objects (QSOs) in the UKIRT Infrared Deep Survey (UKIDSS) Ultra Deep Survey (UDS) Field using the KX selection technique. These observations exploit the very deep near-infrared and optical imaging of this field from United Kingdom Infrared Telescope (UKIRT) and Subaru to select candidate QSOs based on their VJK colours and morphologies. We determined redshifts for 426 candidates using the AAOmega spectrograph on the Anglo-Australian Telescope in service time. We identify 17 QSOs (M B ≤ -23) in this pilot survey at z = 1.57-3.29. We combine our sample with an X-ray-selected sample of QSOs in the same field (a large fraction of which also comply with our KX selection) to constrain the surface density of QSOs with K ≤ 20, deriving limits on the likely surface density of 85-150 deg -2 . We use the good image quality available from our near-infrared imaging to detect a spatially extended component of the QSO light which probably represents the host galaxies. We also use our sample to investigate routes to improve the selection of KX QSOs at faint limits in the face of the significant contamination by compact, foreground galaxies. The brightest examples from our combined QSO sample will be used in conjunction with a large Very Large Telescope VIMOS spectroscopic survey of high-redshift galaxies in this region to study the structures inhabited by gas, galaxies and growing supermassive black holes at high redshifts in the UKIDSS UDS.
Comparing meta-heuristic approaches for parallel machine scheduling problems

The aim of this paper is to compare the performance of two meta-heuristic methods proposed to solve the identical parallel machine scheduling problem with sequence dependent setup times. The goal is to minimize the makespan. The first algorithm is a tabu search based heuristic and the second a memetic approach, which combines a population-based method with local search procedures. As benchmarks for small-sized instances, optimal and lower bound values are used provided by a dichotomous search. For larger instances, the comparisons rely on the best known solutions provided by an exhaustive search variant of the tabu procedure.
The First Property Rights Revolution

Боулес и Чоу рассматривают изменение прав собственности, имевшее место около тридцати тысяч лет назад, а именно при переходе от кочевого образа жизни (охота и собирательство) к оседлому (развитие земледелия). Это изменение они предлагают называть первой революцией в правах собственности. В статье приводится модель культурно группового отбора и описание симуляции этого процесса. Основная идея культурно группового отбора заключается в том, что при кочевом образе жизни люди были объединены в племена или группы, а в результаты объединения в более крупные группы для ведения земледелия происходило доминирование одних групп над другими и, соответственно, доминирование культур (норм, господствующих в отдельно взятой группе). В модели авторы обращают внимание на влияние экзогенных технологических шоков на появление прав собственности. Согласно их мнению, в основе изменения прав собственности лежат изменения в технологии производства.
Microenvironmental Control of High-Speed Interstitial T Cell Migration in the Lymph Node

T cells are highly concentrated in the lymph node (LN) paracortex, which serves an important role in triggering adoptive immune responses. Live imaging using two-photon laser scanning microscopy revealed vigorous and non-directional T cell migration within this area at average velocity of more than 10 μm/min. Active interstitial T cell movement is considered to be crucial for scanning large numbers of dendritic cells (DCs) to find rare cognate antigens. However, the mechanism by which T cells achieve such high-speed movement in a densely packed, dynamic tissue environment is not fully understood. Several new findings suggest that fibroblastic reticular cells (FRCs) and DCs control T cell movement in a multilateral manner. Chemokines and lysophosphatidic acid produced by FRCs cooperatively promote the migration, while DCs facilitate LFA-1-dependent motility via expression of ICAM-1. Furthermore, the highly dense and confined microenvironment likely plays a key role in anchorage-independent motility. We propose that T cells dynamically switch between two motility modes; anchorage-dependent and -independent manners. Unique tissue microenvironment and characteristic migration modality of T cells cooperatively generate high-speed interstitial movement in the LN.
The Loss of Governance Capacity through Corruption

Corruption manifests itself in many ways and at different levels. Corrupt behavior causes outrage to victims and those who value civil society, it impedes good government and administrative practice. The policy challenge in reducing corruption is to identify the component parts of corrupt behavior and the risk–reward profiles of offenders. This exploratory article begins this process by reporting data from 100 successfully prosecuted cases from New York City. The article analyzes data on varying degrees of corruption in service provision in New York City. The loss to the city is much more a loss of governance capacity than it is a monetary loss.