Miracle-dz/UniFAR-FTUs huggingface dataset:
Corporate News Classification and Valence Prediction: A Supervised Approach

News articles have always been a prominent force in the formation of a company's financial image in the minds of the general public, especially the investors. Given the large amount of news being generated these days through various websites, it is possible to mine the general sentiment of a particular company being portrayed by media agencies over a period of time, which can be utilized to gauge the long term impact on the investment potential of the company. However, given such a vast amount of news data, we need to first separate corporate news from other kinds namely, sports, entertainment, science & technology, etc. We propose a system which takes news as, checks whether it is of corporate nature, and then identifies the polarity of the sentiment expressed in the news. The system is also capable of distinguishing the company/organization which is the subject of the news from other organizations which find mention, and this is used to pair the sentiment polarity with the identified company.
The Art of Memory: Islamic Education and its Social Reproduction

The study of education can be to complex societies what the study of religion has been to societies variously characterized by anthropologists as ‘simple,’ ‘cold’ or ‘elementary. ’ Recognizing this potential, sociologists and social anthropologists have recently indicated a renewed interest in the study of how schooling, especially higher education, implicitly defines and transmits a culturally valued cognitive style, ‘a set of basic, deeply interiorized master-patterns’ of language and thought on the basis of which other patterns are subsequently acquired (Bourdieu 1967: 343; see also Cole, Gay, Glick and Sharp 1971).
FIFO Sizing for High-Performance Pipelines

Performance-critical pipelines—such as a packet processing pipeline in a network device—are built from a sequence of simple processing modules, connected by FIFOs. Due to their complex sequential behavior, the worst case throughput, as well as the size of the interconnecting FIFOs, are currently designed using very rough heuristics. Such systems are usually validated by simulation, or worse, field testing. In this paper, we propose a methodology that address these two issues. First, we propose a fast technique for computing the maximum possible throughput assuming unbounded FIFOs. Then, we describe two algorithms, one exact, one heuristic, that compute minimum FIFO sizes that can achieve this throughput (i.e., FIFOs that do not introduce bottlenecks). Experimental results suggest our algorithm is applicable to pipelines of at least five modules with runtimes generally in minutes. Since such a computation is only needed a few times for any design, we consider our technique practical.
Extracting Diurnal Patterns of Real World Activity from Social Media

In this study, we develop methods to identify verbal expressions in social media streams that refer to real-world activities. Using aggregate daily patterns of Foursquare checkins, our methods extract similar patterns from Twitter, extending the amount of available content while preserving high relevance. We devise and test several methods to extract such content, using time-series and semantic similarity. Evaluating on key activity categories available from Foursquare (coffee, food, shopping and nightlife), we show that our extraction methods are able to capture equivalent patterns in Twitter. By examining rudimentary categories of activity such as nightlife, food or shopping we peek at the fundamental rhythm of human behavior and observe when it is disrupted. We use data compiled during the abnormal conditions in New York City throughout Hurricane Sandy to examine the outcome of our methods.
Brief Psychoeducation for Schizophrenia Primarily Intended to Change the Cognition of Auditory Hallucinations: An Exploratory Study

Abstract Auditory hallucinations and delusions are core symptoms of schizophrenia, which interact with each other. The attribution of auditory hallucinations to other people is considered to lead to secondary delusions. This study examined whether brief psychoeducation can change the cognition of auditory hallucinations, particularly, their attribution, and thus alleviate secondary delusions. Twenty-two schizophrenic patients with auditory hallucinations were recruited in this open study. The intervention consisted of five sessions during the course of 4 weeks. Outcome measures were used to assess delusions, beliefs about auditory hallucinations, and depression. At the end of the intervention, statistically significant reduction was observed in both delusions and depression. Beliefs about hallucinations showed statistically significant improvement in terms of malevolence, omnipotence, and resistance but not in terms of benevolence and engagement. In conclusion, the present study suggests that psychoeducation might be useful in reducing secondary delusions without exacerbating a depressive state.
Spatio-temporal regularization featuring novel temporal priors and multiple reference motion estimation

Handling input content ranging from low resolution and highly compressed internet streams up to high definition video is a challenging task for modern flat panel TVs. Considering that the consumer is accustomed to HD content, superior processing is mandatory especially for low bit-rate video with very low quality. In this paper, we describe a novel spatio-temporal and image content adaptive regularization algorithm, which can deal with this entire content well. This algorithm can significantly improve the video quality, remove spatial and temporal artifacts and even re-establish missing details. The spatio-temporal regularization combines the well-known Total Variation image model with a novel temporal constraint, being robust towards erroneous motion vectors and allowing application of block based motion estimation techniques.
Packing and Covering Properties of CDCs and Subspace Codes

Constant-dimension codes (CDCs) and subspace codes have be en proposed for error control in network coding. In this paper, we first study the covering pro perties of CDCs. We derive bounds on the minimum cardinality of a CDC with a given covering radius and determine the asymptotic rate of optimal covering CDCs. We then study the packing and coverin g properties of subspace codes, which can be used with the subspace metric or the so-called modified subspace metric. We derive bounds on the cardinalities of packing and covering subspace codes, and w e etermine the maximum asymptotic rate of both packing and covering subspace codes for both the subs pace metric and the modified subspace metric.
Suppression of Tumor Growth and Angiogenesis by a Specific Antagonist of the Cell-Surface Expressed Nucleolin

Background Emerging evidences suggest that nucleolin expressed on the cell surface is implicated in growth of tumor cells and angiogenesis. Nucleolin is one of the major proteins of the nucleolus, but it is also expressed on the cell surface where is serves as a binding protein for variety of ligands implicated in cell proliferation, differentiation, adhesion, mitogenesis and angiogenesis. Methodology/Principal Findings By using a specific antagonist that binds the C-terminal tail of nucleolin, the HB-19 pseudopeptide, here we show that the growth of tumor cells and angiogenesis are suppressed in various in vitro and in vivo experimental models. HB-19 inhibited colony formation in soft agar of tumor cell lines, impaired migration of endothelial cells and formation of capillary-like structures in collagen gel, and reduced blood vessel branching in the chick embryo chorioallantoic membrane. In athymic nude mice, HB-19 treatment markedly suppressed the progression of established human breast tumor cell xenografts in nude mice, and in some cases eliminated measurable tumors while displaying no toxicity to normal tissue. This potent antitumoral effect is attributed to the direct inhibitory action of HB-19 on both tumor and endothelial cells by blocking and down regulating surface nucleolin, but without any apparent effect on nucleolar nucleolin. Conclusion/Significance Our results illustrate the dual inhibitory action of HB-19 on the tumor development and the neovascularization process, thus validating the cell-surface expressed nucleolin as a strategic target for an effective cancer drug. Consequently, the HB-19 pseudopeptide provides a unique candidate to consider for innovative cancer therapy.
09 Temple of Heaven 10 Big Ben 11 Colosseum 12 Eiffel Tower 13 Golden Gate 14 Leaning Tower Pisa 15 Lincoln Memorial 16

Landmark recognition in image processing is one of the important object recognition problem. Some of the applications in smart phones with (Global Positioning System) GPS utilize the geotag information to recognize landmarks. However, tons of photos on the internet don? t have geotag. In addition, the GPS is not always very accurate to provide correct recognition. Thus, recognizing landmarks using machine learning techniques is the important alternative. In addition, these studies are also critical for applications like building virtual tourism, providing travel tour guides and classifying/tagging photos. Although some recent studies[1][2][3] showed good accuracy of landmark detection and recognition, most of the landmarks in the images were located in Europe and North America. Whether the recognition accuracy will be largely affected or not by Asian style landmark images was not studied. Thus, the mix of Asian style and Europe/North America landmarks were used to understand how this affect recognition accuracy. Furthermore, the impact of partial view of large landmarks on recognition accuracy were be analyzed. In this study, the input data are images with different landmarks. At the feature detection stage, both HOG (Histogram of Oriented Gradient)[4] and SURF (Speeded Up Robust Features)[5] were used to extract features from input images. The multiclass linear SVM (support vector machines) model was build, and was used to categorize each query image into trained landmark images.
Heart Rate Variability and Fatigue in Patients With Chronic Fatigue Syndrome After a Comprehensive Cognitive Behavior Group Therapy Program

In psychotherapy research, there is a general lack of studies that include objective measurements that provide information about the basic underlying mechanisms involved in behavioral and psychiatric conditions. In this pilot study, we investigated cardiovascular activity and self-reported fatigue in patients with Chronic Fatigue Syndrome (CFS) compared to normal healthy controls who served as a reference group. Furthermore, based on a one-group pre-post design, we investigated whether exposure to a Comprehensive Cognitive Behavior Therapy (CCBT) program resulted in any changes in cardiovascular activity and self-reported fatigue in CFS patients. Overall, 19 female CFS patients and 21 normal healthy controls were included in the study. Cardiovascular activity measurements were heart rate (HR), low frequency/high frequency (LF/HF ratio), and heart rate variability (the root mean of the squared successive differences; rMSSD). Fatigue was measured using the Chalder Fatigue Questionnaire. Analyses of the resu.
W/sup 4/: A Real Time System for Detecting and Tracking People

W 4 is a real time visual surveillance system for detecting and tracking people and monitoring their activities in an outdoor environment. It operates on monocular grayscale video imagery, or on video imagery from an infrared camera. Unlike many of systems for tracking people, W 4 makes no use of color cues. Instead, W 4 employs a combination of shape analysis and tracking to locate people and their parts (head, hands, feet, torso) and to create models of people's appearance so that they can be tracked through interactions such as occlusions. W 4 is capable of simultaneously tracking multiple people even with occlusion. It runs at 25 Hz for 320x240 resolution images on a dual-pentium PC.
Mobile robots for learning spatio-temporal interpolation models in sensor networks — The Echo State map approach

Sensor networks have limited capabilities to model complex phenomena occuring between sensing nodes. Mobile robots can be used to close this gap and learn local interpolation models. In this paper, we utilize Echo State Networks in order to learn the calibration and interpolation model between sensor nodes using measurements collected by a mobile robot. The use of Echo State Networks allows to deal with temporal dependencies implicitly, while the spatial mapping with a Gaussian Process estimator exploits the fact that Echo State Networks learn linear combinations of complex temporal dynamics. The resulting Echo State Map elegantly combines spatial and temporal cues into a single representation. We showcase the method in the exposure modeling task of building dust distribution maps for foundries, a challenge which is of great interest to occupational health researchers. Results from simulated data and real world experiments highlight the potential of Echo State Maps. While we focus on particulate matter measurements, the method can be applied for any other environmental variables like temperature or gas concentration.
Innovation in multinational companies - An empirical analysis of innovation networks between globalisation and localisation

Bamberger Beitrage zur Europaforschung und zur internationalen Politik Nr. 14/2006 Abstract: Innovation in multinational companies is complex and involves heterogeneous actors. The importance of drawing upon globally-dispersed knowledge and entering new markets leads to globalisation of innovation activities. Simultaneously, localisation favours a close and personal interaction and thus the transfer of implicit knowledge. A redefinition of the concepts of globalisation and localisation is necessary. Then, these apparently opposite orientations can be merged into a single strategy in which they even reinforce each other. An empirical analysis of innovation in a major German multinational company illustrates the organisation of such a combined strategy.
Family strategies to support and develop resilience in early childhood

Early childhood is an important time for the development of resilience. A recently completed study has followed three cohorts of resilient children and young people living in disadvantaged areas in Victoria, Australia, through different transitions in their educational careers. This paper focuses on the early childhood cohort, where we have followed children from kindergarten/preschool into primary school. Using data gathered primarily through interviews with parents (mothers in each case), this paper presents a qualitative naturalistic sub-study that used deductive thematic analysis to explore the different strategies used by families to support their child’s resilience. Our findings highlight that resilience was a salient concept for all of the mothers in the study and each mother articulated a range of strategies they used within the family to try and support their child’s development and resilience. These strategies were constrained by the settings in which the families lived.
Relationship of Organizational Size to Complexity and Coordination.

Two models are presented to explain the relationship between the size of organizations and the percentage of staff personnel. In the first model, an interaction model, the effect of size is partially dependent on the level of functional differentiation or complexity in an organization. Product terms between size and complexity are therefore included in this model, in accordance with previous research and theory, suggesting that the effects of functional differentiation on the size-staff relationship may not be linear. The product terms are found to be significant and to increase significantly the amount of variance explained by an additive model, but the two independent variables are confounded, and a great deal of variance is not explained. This interaction model has the advantage of theoretical relevance, but is not simple to construct nor to interpret. In the second model, a simpler logarithmic model, size decreases the staff component at a decreasing rate, explaining slightly more variance than the interaction model. It is simple and parsimonious but has no theoretical basis, therefore it does not explain the social processes involved. In the absence of a theory that treats the rate of change in the staff component as a decreasing function of size, the interaction model is considered preferable.
Inhibition of Lipid Peroxidation in the Erythrocyte Membrane by Quaternary Morpholinium Salts with Antioxidant Function

Abstract The antioxidant activity of five new compounds from a group of quaternary ammonium salts with antioxidant function has been investigated. The effect of the compounds on the degree of lipid oxidation in the erythrocyte membrane subjected to UV radiation was studied. It was found that all the salts used decreased oxidation of the lipids in the erythrocyte membrane. The antioxidant activity of the ammonium salts studied increased with their alkyl chain length. Three compounds with the longest alkyl chains were the most active antioxidants, and their antioxidant properties were comparable to those of a flavonoid extracted from haw thorn. The antioxidant effectiveness of the ten-carbon alkyl chain compound was comparable with that of the known antioxidant 3,5-di-t-butyl-4-hydroxytoluene (BHT). The least effective antioxidant studied proved to be the eight-carbon alkyl chain compound. The effect of these compounds on fluidity of the erythrocyte membrane has been studied, and for all an increase of fluidity of the membrane was observed. The changes in erythrocyte ghosts fluidity depended both on concentration and type of compound. A fluorimetric study also indicated that rigidity of the erythrocyte membrane increased with degree of its oxidation, but with antioxidants present membrane rigidity increased less.
Reversible Optical Switching of Infrared Antenna Resonances with Ultrathin Phase-Change Layers Using Femtosecond Laser Pulses

Recently, phase-change materials (PCMs) have gained a lot of interest in the field of active metamaterials and plasmonics due to their switchable optical properties. In the infrared spectral range the huge contrast in the refractive index between an amorphous and a crystalline phase can be employed for nonvolatile tuning of nanoantenna or metasurface resonances. To make use of such concepts in devices, the reversible switching of the active material has to be realized. Here we demonstrate such reversible cycling by applying femtosecond pulses from a Ti:sapphire laser. These optical pulses trigger the phase transitions of the PCM thin film, which is covering infrared nanoantennas. Ge3Sb2Te6 is chosen as the PCM, since it offers very low losses in the infrared spectral range. The layer geometry presented is exceptionally thin (∼1/50 of the operating wavelength) and the design intentionally avoids lossy capping layers. Infrared reflectivity measurements verify the laser-induced resonance shifts of the plasmo.
Difficulties Measuring the Internet's AS-Level Ecosystem

Compared to other large-scale, complex systems, one of the most appealing features of the Internet is that a thorough understanding of its component technologies combined with a unique ability to measure the network means that most of the models and theories proposed for explaining the Internet's observed structure and behavior can be in general unambiguously validated, though perhaps not without substantial efforts. An example that requires such substantial effort is the structure and dynamics of the Internet at the level of autonomous systems (ASs). We show in this paper that the problem of inferring connectivity within the Internet's AS-level ecosystem has been severely hampered by highly ambiguous measurements, with serious but often ignored implications for AS-level topology modeling and model validation. The situation is even worse with respect to inferring inter-AS traffic demands where the basic problem has been a complete lack of any sort of useful and publicly available measurements. We describe recent attempts that try to change this situation and discuss their implications for AS-level traffic matrix modeling and model validation.
Effective Teaching of Research Design in Physical Geography: a case study

A problem-solving approach to the teaching of research design in physical geography is introduced. Focusing on the study of the effectiveness of a local river restoration scheme, students are empowered with the responsibility for and control of their learning by means of group discussions and decision making in a series of workshops. With carefully staged guidance by tutors, students devise research questions and execute their project, analysing data collected on a field day. Although students may find this approach to be challenging and demanding, they acquire research experience and develop key skills, such as visualisation of problems and capacity for logical thought, aided by critical self-appraisal of their performance. Such an approach is particularly relevant today because of subject benchmarking skills. Developing transferable skills, such as initiative and teamwork, valued by employers also promotes self-confidence. Using a case study, this paper considers the experiences of students and staff with this approach, identifying its strengths and weaknesses, and offers possible options for its development.
XIMERA: a new TTS from ATR based on corpus-based technologies

This paper describes a new concatenative TTS system under development at ATR. The system, named XIMERA, is based on corpus-based technologies, as was the case for the preceding TTS systems from ATR, namely ν-talk and CHATR. The prominent features of XIMERA are (1) large corpora (a 110hours corpus of a Japanese male, a 60-hours corpus of a Japanese female, and a 20-hours corpus of a Chinese female), (2) HMM-based generation of prosodic parameters, and (3) a cost function for segment selection optimized based on perceptual experiments. A perception test that evaluated the naturalness of synthetic speech for XIMERA and 10 TTS products, including CHATR, showed that XIMERA outperformed the other ten.
Using Q Method for the Formative Evaluation of Public Participation Processes

Public participation can benefit from formative evaluation to learn from experience and recommend improvements to the participation process as it is happening. Q method is a promising tool for conducting formative evaluations. It specifies the different perspectives held by participants about the process and clarifies the sources of their agreement and disagreement. Further advantages are that the technique relies on a minimal number of research participants and can be very efficient. Shortcomings are that Q method does not permit generalization to a population and requires considerable expertise to carry out. Results can also be sensitive to the particular individuals selected to participate.