Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic sentiment polarity analysis of financial news across languages and markets

The increasing amount of sentiments disseminated by traditional and social media and their impact on human societies including financial markets made the automatic detection and analysis of sentiments an important research area in academia and industry. In this thesis, techniques rooted in corpus linguistics and language for special purposes (LSP) have been used to develop a method for the automatic sentiment polarity analysis of financial news. Contrary to the existing practice in sentiment analysis where manual analysis is usually required to construct sentiment lexicons, the novelty introduced here is that the method can automatically extract a set of domain specific keywords and a set of polarity bearing words from training corpora comprising financial news across languages. The method requires only general news corpora for extracting keywords and historical market data time-series for extracting polar words. The method also automatically labels the extracted polar words as positive or negative and extracts the patterns in which these words are used. The language dependence of the use of polarity laden words was examined by looking at such patterns of usage in two typologically distinct languages: English and Arabic. Despite the cultural and linguistic differences, the patterns of words used in expressing sentiments have remarkable similarities. The method has been evaluated using two evaluation corpora comprising financial news in English and Arabic using a tri-partite strategy. First, human volunteers were asked to label the polarity of all the sentences in the evaluation corpora. Second, a widely used polarity lexicon, the General Inquirer, was used to automatically label the polarity of the same sentences. Third, LoLo, a system implementing the method, was used to label the polarity of the same sentences as well using automatically extracted polar words and patterns from training corpora. LoLo' s results were closer to that of humans when analysing the full content of financial news items and when analysing only lead sentences, in both English and Arabic, than that of the General Inquirer based analysis.
Real-time stream processing in embedded systems

Modern real-time embedded systems often involve computational-intensive data processing algorithms to meet their application requirements. As a result, there has been an increase in the use of multiprocessor platforms. The stream processing programming model aims to facilitate the construction of concurrent data processing programs to exploit the parallelism available on these architectures. However, most current stream processing frameworks or languages are not designed for use in real-time systems, let alone systems that might also have hard real-time control algorithms. This thesis contends that a generic architecture of a real-time stream processing infrastructure can be created to support predictable processing of both batched and live streaming data sources, and integrated with hard real-time control algorithms. The thesis first reviews relevant stream processing techniques, and identifies the open issues. Then a real-time stream processing task model, and an architecture for supporting that model is proposed. An approach to the integration of stream processing tasks into a real-time environment that also has hard real-time components is presented. Data is processed in parallel using execution-time servers allocated to each core. An algorithm is presented for selecting the parameters of the servers that maximises their capacities (within an overall deadline) and ensures that hard real-time components remain schedulable. Response-time analysis is derived to guarantee that the real-time requirements (deadlines for batched data processing, and latency for each data item for live data) for the stream processing activity are met. A framework, called SPRY, is implemented to support the proposed real-time stream processing architecture. The framework supports fully-partitioned applications that are scheduled using fixed priority-based scheduling techniques. A case study based on a modified Generic Avionics Platform is given to demonstrate the overall approach. Finally, the evaluation shows that the presented approach provides a better schedulability than alternative approaches.
UvA-DARE ( Digital Academic Repository ) Considerations for an access-centred design of the fever thermometer in low-resource settings a literature

Background: The lack of adequate information about fever in low-resource settings, its unreliable self-assessment, and poor diagnostic practices may result in delayed care and under-or-overdiagnosis of diseases such as malaria. The mismatches of existing fever thermometers in the context of use imply that the diagnostic tools and connected services need to be studied further to address the challenges of fever-related illnesses and their diagnostics. Objective: This study aims to inform a product-service system approach to design a reliable and accessible fever thermometer and connected services, as well as contribute to the identification of innovative opportunities to improve health care in low-resource settings. Methods: To determine what factors impede febrile people seeking health care to access adequate fever diagnostics, a literature search was conducted in Google Scholar and PubMed with relevant keywords. Next, these factors were combined with a patient journey model to design a new product-service system for fever diagnostics in low-resource settings. Results: In total, 37 articles were reviewed. The five As framework was used to categorize the identified barriers. The results indicate that there is a poor distribution of reliable fever diagnostic practices among remote communities. This paper speaks to the global public health and design communities. Three complementary considerations are discussed that support the idea of a more holistic approach to the design of fever diagnostics: (1) understanding of the fever diagnostics patient journey, (2) identifying user groups of the thermometers in a specific health care system, and (3) assessing different needs and interests of the different users. Conclusions: Access to basic, primary health care may be enhanced with better information and technology design made through the involvement of system users. (JMIR Hum Factors 2017;4(1):e3) doi:10.2196/humanfactors.6778
Collaborative Filtering Recommender System pada Virtual 3D Kelas Cendekia

Intelligent Clas room s is a concept of modern learning process where users can perform collaborative learning wherever and whenever. With learning in Int elligent Class room , users can get different learning experience where learning process is expected to run more effectively and efficiently. One application of the Intelligent Classrooms concept is learning by utilizing the virtual world. The information collected in the Intelligent Classroom will increase so that a system is needed. The recommendation system of collaborative filtering is the most appropriate system with the intellectual class. With the sparsity of training rate of 80%, it is implemented a collaborative filtering recommendation system with error rate which if calculated with RMSE is 1.060709 or it can be said that the accuracy level is 78.79%.
Decision Support System Research on Forest Tending 2 Problems Based on Process Management System 3

In this study, the decision-making process management of forest tending in the forestry 8 business is decentralized, and forest tending decision-making activities at different points in time 9 are integrated by decision makers at different geographical locations. The decision-making process 10 was analyzed and optimized from a system perspective. Based on the optimized decision-making 11 process, a forest tending business group decision support system (FTGDSS) was established. We 12 first reviewed and discussed the characteristics and development of the forest tending business and 13 forestry decision support system. Business Process Modeling Notation was used to draw a current 14 state flow chart of the forest tending business, to identify and discover important decision points in 15 the process of tending decision-making. We also analyzed the content and attributes of each decision 16 point, and described the system structure, functional framework, knowledge base structure, and 17 reasoning algorithm of FTGDSS in detail. Finally, FTGDSS was evaluated from the two dimensions 18 of the technology adoption model. FTGDSS integrates different levels of time-space decision19 making activities, historical tending data, business plans, decision-makers' management tendencies 20 into the decision-making process and automatically extracts decision-making data from the forest 21 business process management enterprise resource planning system (Smartforest) that improves the 22 ease of use of the decision support system (DSS). It also improves the quality of forest tending 23 decisions, and enables the DSS to better support multi-target management strategies. 24
An Investigation on the Aerodynamic Improvements to Helicopter Operations

This paper will present the status of the research collaboration between Leonardo Company and Nanyang Technological University (NTU). As a key player in aerospace, defence and security, Leonardo company is involved in a five years collaboration with NTU through its helicopter division, AgustaWestland. Three focus areas of collaborative research have been identified, looking into vortex generators (VGs), exhaust-fuselage interaction and fire suppression. The project includes both numerical and experimental investigations (PIV and surface flow visualizations), and preliminary numerical findings from the first year of the collaboration will be reported. In this paper, the focus will be on drag reduction through VGs where various configurations that are attached to the ramp of the helicopter are simulated to minimize flow separation. Additionally, it will present on fire suppression modelling and current progress on exhaust-fuselage interaction to identify heat signatures to mitigate aeromechanical problems.
New " INTERFACE " Tools for Developing Emotional Talking Heads

INTERFACE is a tool for simplifying and automating many of the operations needed for building a talking head. INTERFACE was designed and implemented in Matlab©. and it consists of set of processing tools, focusing mainly on dynamic articulatory data physically extracted by an automatic optotracking 3D movement analyzer. The main reason to implement such a software tool was that of building up the animation engine of LUCIA our emotive/expressive Italian talking head. LUCIA can be directly driven by an emotional XML tagged input text, thus realizing a true audio visual emotive/expressive synthesis. LUCIA’s voice is based on an Italian version of FESTIVAL MBROLA packages, modified for expressive/emotive synthesis by means of an appropriate APML/VSML tagged language. Moreover, by using INTERFACE, it is possible to copy a real human talking by recreating the correct WAV and FAP files needed for the animation by reproducing the movements of some markers positioned on his face and recorded by an optoelectronic device. In this work the latest improvements of INTERFACE will be described and few examples of their application to real cases will be illustrated.
Financial Reporting Conservatism and Voluntary Non-Financial Disclosure: Case from Corporate Social Responsibility Disclosure

This paper examines whether a firm’s degree of conservatism in financial reporting affects the choice of voluntary non-financial corporate social responsibility (CSR) disclosure and its economic consequences. Prior theoretical and empirical studies suggest that the amount and credibility of voluntary financial disclosure vary depending on the degree of financial reporting conservatism. Using CSR disclosure data distributed through the media, we find that firms adopting less conservative financial reporting policies are more likely to disclose CSR information. Further analyses show that market reactions to CSR disclosure are stronger when a firm’s financial reporting is less conservative. Our evidence suggests that financial reporting conservatism is an important mechanism that affects the qualitative and quantitative nature of non-financial CSR disclosure. Moreover, our findings provide policy implications that benefits from mandating CSR reporting can be greater under the current financial reporting system, emphasizing the faithful representation of assets or liabilities while sacrificing verifiability or accounting conservatism.
Identification of Molecular Markers Linked to Northern Corn Leaf Blight Resistance in Yellow Population of Maize

The objectives of this study were to identify RAPD, ISSR and SCAR markers linked to northern corn leaf blight (NCLB) resistance genes in an F2 population of yellow maize (Zea mays L.) using bulked segregant analysis and to map NCLB resistance genes in F2 populations of maize. The F2 yellow population of maize was developed from a cross between the resistant line Gm1021 and the susceptable line Gm1002. Bulked segregant analysis with RAPD, ISSR and SCAR markers was conducted to identify markers that were linked to the Helminthosporium turcicum (Ht) gene. The genetic distance between RAPD markers (OPC04220 bp, OPC04450 bp and OPE20270 bp) and NCLB Ht resistance genes were 2.1, 7.8 and 13.4 cM, respectively, with logarithm of odds (LOD) scores of 34.2, 23.1, and 23.5, respectively. Therefore, these three RAPD markers were linked to the quantitative trait loci (QTLs) for the NCLB Ht resistance gene. The genetic distance between the SCAR marker (SCE20270 bp), which was derived from the converted OPE20270 bp RAPD marker, and the NCLB Ht resistance gene, was 2.1 cM with an LOD score of 34.2. This confirmed that the SCAR marker targeted the same locus as the RAPD marker and that it too was linked to the QTL for the NCLB Ht resistance gene. The genetic distance between an ISSR marker (HB13200 bp) and the NCLB Ht resistance gene was 1.4 cM with an LOD score of 32.5. Therefore, this ISSR marker was linked to the QTL for the NCLB Ht resistance gene. The present study indicates that RAPD, ISSR and SCAR markers, combined with bulked segregant analysis, can be used to identify molecular markers linked to the NCLB resistance gene in maize. Once these markers are identified, they can be used to detect the QTLs linked to NCLB resistance in breeding programs, as a selection tool in early generations. _____________________________________________________________________________________________________________
Therapeutic efficacy of different adjuvant modalities in thoracic esophageal squamous cell carcinoma

Objective To evaluation and comparison the curative effect of different adjuvant therapy and prognostic factors with thoracic esophageal squamous cell carcinoma (ESCC) after surgery, and to find the best treatment for them. Methods A total of 863 patients with thoracic ESCC underwent surgery in the fourth hospital of Hebei Medical University, From January 2007 to December 2010, To analyze the influence factors of the patient′s independent prognosis and the effect of postoperative adjuvant therapy on the prognosis of patients. The 1: 1, after the tendency of a total of 261 cases were used PSM method (87 cases/group). The Kaplan-Meier method was used to calculate OS, DFS and log-rank test and monovariable analysis, Cox model was used to multivariable analysis. Results The sample size in 1, 3, 5 was 123, 589, 863 cases. The 1-, 3-, and 5-year overall survival (OS) and disease-free survival (DFS) of all patients were 89.7%, 62.1%, 51.7% and 76.8%, 52.1%, 44.2%, respectively. The 1, 3, 5-years of OS and DFS were 956%, 73.3%, 61.1% and 85.6%, 61.1%, 54.4%, 78.9%, 38.9%, 31.3% and 67.8%, 27.8%, 20.0%, 92.2%, 55.6%, 44.4% and 67.8%, 44.4%, 36.7%(all P=0.000) among postoperation chemoradiotherapy (POCRT), postoperation chemotherapy (POCT) and postoperation radiotherapy (PORT) after pairing with PSM.The result of COX analysis showed that the degree of inflammatory adhesion, pTNM stage and the number of positive lymph nodes were the independent prognostic factors in patients with OS (P=0.002, 0.000, 0.007). The history of drinking, pTNM stage and treatment model were the independent prognostic factors of DFS (P=0.009, 0.000, 0.012). Conclusions Patients with thoracic esophageal squamous cell carcinoma after surgery to receive adjuvant therapy has a good effect, compared with PORT and POCT, POCRT can significantly improve the OS and DFS, and POCRT was the independent prognostic factors of DFS. Key words: Esophageal neoplasms/surgery; Esophageal neoplasms/radiotherapy; Esophageal neoplasms/chemotherapy; Treatment outcome; Prognosis
A Genetic Task Migration Algorithm for Fault Recovery in NoC-based Manycore Systems

Recovery from permanent core faults in NoC-based manycore systems usually requires migrating tasks from faulty cores to fault-free cores, where balanced workloads are commonly desired. Finding optimal migration destinations for tasks, however, is a challenging issue due to the time complexity of the search process. To cope with this, in this paper, a genetic algorithm based task migration algorithm is proposed, where the adaptive crossover (AC) scheme and the An chaotic mapping disturbance (AD) scheme are incorporated to improve the search efficiency. Experiments show that the modifications to the standard genetic algorithm (SGA) are effective, and the proposed task migration algorithm outperforms two PSO-based algorithms, the SGA and a deterministic algorithm (DA) in finding more balanced migration solutions. The average improvements of the proposed algorithm over the DA, PSO, DPSO, and SGA algorithms are 86%, 88%, 37%, and 16%, respectively. Key-Words: Task migration, genetic algorithm, fault recovery, NoC, manycore system
ReportMath 1 Is Expressed in Temporally Discrete Pools of Cerebellar Rhombic-Lip Neural Progenitors

We have utilized an in vivo-inducible genetic-fatemapping strategy to permanently label cohorts of Math1-positive cells and their progeny that arise in the rhombic lip of the cerebellar primordium during embryogenesis. At stages prior to E12.5, with the exception of the deep cerebellar nuclei, we find that Math1 cells migrate out of the cerebellar primordium into the rostral hindbrain to populate specific nuclei that include cholinergic neurons of the mesopontine tegmental system. Moreover, analysis of Math1-null embryos shows that this gene is required for the formation of some of these nuclei. Around E12.5, granule cell precursors begin to be labeled: first, ones that give rise to granule cells that predominantly populate the anterior lobes of the adult cerebellum and later, those that populate progressing more caudally lobes until labeling of all granule cell precursors is complete by E17. Thus, we demonstrate that the cerebellar rhombic lip gives rise to multiple cell types within rhombomere 1.
Toward breast cancer histopathology image diagnosis using local color binary patterns

Introduction. Breast cancer is the most common female cancer in the world. Generally, breast cancer, either “in-situ” or “invasive”, has different characteristics from normal breast tissue. In specify, in the normal case, a group of healthy cells are placed along ducts’ walls; However in the “in-situ” breast cancer, carcinoma cells fill the ducts, developing further to the “invasive” cancer where malignant cells spread into nearby tissues. In breast cancer diagnosis via histopathology images, Hematoxylin and Eosin (H&E) are usually used to stain biopsy samples for visibility enhancement. In H&E stained images, Hemaxotylin stains nuclei in cells blue/purple, and Eosin stains cytoplasm and connective tissues pink. Hence, color distribution, or color variation, in an image actually reveals the spatial organization of cells. Figures bellow show examples of an H&E stained normal sample, an in-situ breast cancer and an invasive histopathology images from left to right.
The Contribution of Enactments to Structural Family Therapy: A Process Study

THE CONTRIBUTION OF ENACTMENTS TO STRUCTURAL FAMILY THERAPY: A PROCESS STUDY ' Stephanie Fellenberg Virginia Consortium Program in Clinical Psychology, 2003 Director: Michael P. Nichols In an era where the effectiveness o f many forms o f psychotherapy has been thoroughly examined, the focus o f many researchers has shifted from investigating outcome to exploring therapeutic processes. Process studies serve to identify the active ingredients o f therapy that is, those interventions that bring about in-session changes. This process study examines the relationship between the use o f enactments, a structural family therapy intervention, and in-session change as observed over the course o f the session. Change was measured by the amount o f change that occurred in the core problem dynamic, that is, the most prominent pattern o f dysfunctional family interaction. The sample consisted of ten videotaped family therapy sessions, representing ten families and four therapists. Clinician judges rated change on a seven-point Likert-like scale. Trained undergraduate raters rated successfulness o f enactments and degree to which enactments and other meaningful moments addressed the core problem dynamic in each session. Pearson Product-Moment correlations were calculated to assess the relationship between change occurring in the core problem dynamic by the end o f the session and several variables, including successfulness o f enactments, and the extent to which enactments and meaningful moments addressed the problem dynamic. In addition, possible relationships between each o f the variables were investigated, as well as relationships between the number of meaningful moments occurring within enactments Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. and successfulness o f enactments and extent to which enactments addressed the core problem dynamic. Results suggest a positive relationship between successfulness o f enactments and both change in the core problem dynamic at the end o f the session and number o f meaningful moments occurring in enactments. Implications and limitations are discussed. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. This thesis is dedicated to my parents, Paul and Margret Fellenberg, who always encouraged me to reach for the stars. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
Forecasting intraday traded volume with the Weibull ACV model : an application to Polish stocks

The trading volume is one of the basic measures of intensity of trading activity and plays a crucial role in the financial market microstructure literature. The aim of the paper is to examine the out-of-sample point and density forecasting performance of the Bayesian linear Autoregressive Conditional Volume (ACV) model with Weibull distribution for the error term for intra-daily volume data. The analysis follows a rolling window scheme and is based on real-time 5-minute intra-daily traded volume data for stocks quoted on the Warsaw Stock Exchange, which is a leading stock market in Central and Eastern Europe. It is concluded that in terms of point forecasts the considered Bayesian linear ACV model significantly outperforms such benchmarks as the naïve or the Rolling Means methods. Moreover, the exponential error ACV models generate more accurate point forecasts than the structures with the Weibull distribution, but the differences between forecast errors are not in all cases statistically significant. The results obtained from analysis of density forecasts indicate that in most cases the linear ACV model with the Weibull distribution provides significantly better density forecasts as compared to the linear ACV model with exponential innovations in terms of the log-predictive score.