Miracle-dz/UniFAR-FTUs huggingface dataset:
A preprocessing method of internet search data for prediction improvement: application to Chinese stock market

The correlations between Internet search data and socio-economic Indicators have been proved in many studies, but the basis work of these studies - data preprocessing, determining the quality of the result, has lacked a systematic methodology. In this paper, we develop a comprehensive method for Internet search data preprocessing, which includes the critical steps: (a) keywords selection, (b) time difference measurement, and (c) leading index composition. Applying our method to study Chinese stock market price, we can get the leading keywords index with stable leading relation and high degree of fit. Specifically, the correlation coefficient between our leading keywords index and Shanghai Composite Index reaches 98.7%, and Granger test confirms that keywords index has significant prediction ability for Shanghai Composite Index. Adding keywords index to the AR model can reduce the MAPE from 3.8% to 1.4%, and each percentage point change of keywords index is correlated with 0.136 percentage point move in the same direction of Shanghai Composite Index in next period.
Improvements for constraint solving in the systemc verification library

For verification of complex system-on-chip designs often constraint-based randomization is used. This allows to simulate scenarios that may be difficult to generate manually. For the system description language SystemC the SystemC Verification (SCV) Library has been introduced. Besides advanced verification features like data introspection and transaction recording the SCV library enables constraint-based randomization forSystemC models. However, the SCV library has two disadvantages that restrict their practical use: There is no support of bit operators in SCV constraintsand the SCV constraint solver cannot guarantee a uniform distribution of the constraint solutions. In this paper we provide a detailed analysis of these problems and present solutions that have been integrated in the library.
Functional Assessment and Wraparound as Systemic School Processes

This article proposes a framework for expanding the traditional presentation of wraparound and FBA to (a) view wraparound and FBA as concepts that are inextricably linked at the core of each level of the proactive systemic process of PBS and (b) understand how wraparound and FBA are critical features of prevention as well as intervention for creating safer schools for all students.
Student Characteristics and Writing Apprehension

Many mass communication students struggle with writing, a seemingly essential skill for the major they have chosen. Some write well if they get started. Others do fine in practice but freeze on graded assignments. Many panic if the instructor glances at an in-progress assignment. Others’ out-of-class work is good but their deadline work is awful. Some are apathetic or hostile because required writing courses do not seem relevant (e.g., the broadcasting major aspiring to production work or public relationsmajorwanting“toworkwithpeop1e”). Some do well on creative assignments but feel “hemmed-in” by news structure. Some lack confidence in their basic mechanical skills and miss deadlines checking (literally) every word or phrase. Many procrastinate. Yet all may have good news judgment, interviewing or fact gathering skills. Instructors armed with a tool “for sensitive discrimination of individual differences among people whose main communication mode is writing” might devise “focused instructional strategies” to overcome dysfunctional writing attitudes,’ or even help pre-majors choose among mass communication sequences. Riffe and Stacks’ Mass Communication Writing Apprehension Measure (MCWAM)’ was a first step in the development of such a tool. This study refines the MCWAM and examines its relationship to student characteristics.
The CK1 Family: Contribution to Cellular Stress Response and Its Role in Carcinogenesis

Members of the highly conserved and ubiquitously expressed pleiotropic CK1 family play major regulatory roles in many cellular processes including DNA-processing and repair, proliferation, cytoskeleton dynamics, vesicular trafficking, apoptosis, and cell differentiation. As a consequence of cellular stress conditions, interaction of CK1 with the mitotic spindle is manifold increased pointing to regulatory functions at the mitotic checkpoint. Furthermore, CK1 is able to alter the activity of key proteins in signal transduction and signal integration molecules. In line with this notion, CK1 is tightly connected to the regulation and degradation of β-catenin, p53, and MDM2. Considering the importance of CK1 for accurate cell division and regulation of tumor suppressor functions, it is not surprising that mutations and alterations in the expression and/or activity of CK1 isoforms are often detected in various tumor entities including cancer of the kidney, choriocarcinomas, breast carcinomas, oral cancer, adenocarcinomas of the pancreas, and ovarian cancer. Therefore, scientific effort has enormously increased (i) to understand the regulation of CK1 and its involvement in tumorigenesis- and tumor progression-related signal transduction pathways and (ii) to develop CK1-specific inhibitors for the use in personalized therapy concepts. In this review, we summarize the current knowledge regarding CK1 regulation, function, and interaction with cellular proteins playing central roles in cellular stress-responses and carcinogenesis.
MEG study of temporal parameters and localization of brain responses during the detection of transient changes in the direction of moving stimuli

Our results suggest that the MT/V5+ complex in humans contains neurons sensitive to abrupt changes in the direction of moving stimuli. We also identified an area in the right IPL activated by such changes. The latter finding could have at least two different explanations. First, that the right area IPL is specifically involved in detecting changes in the direction of moving stimuli. Second, that the right area IPL is involved in the detection of transient events independently of the type of sensory signal causing the event. This last explanation agrees with previous reports of area IPL involved in bottom-up (exogenous) attention. MEG Study of Temporal Parameters and Localization of Brain Responses During the Detection of Transient Changes in the Direction of Moving Stimuli Evgueni Simine1,2, William Gaetz3, Douglas Cheyne3, John K. Tsotsos1,2, Julio C. Martinez-Trujillo2 1 Department of Computer Science, York University, Toronto, Ontarion, Canada 2 Centre for Vision Research, York University, Toronto, Ontario, Canada 3 Neuromagnetic Imaging Laboratory, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
Separation of non-spontaneous and spontaneous speech

There are many situations in which it is desirable to be able to distinguish spontaneous speech and speech which is non-spontaneous. Examples of situations in which this problem may arise include forensic evidence situations, sorting voice-mail responses from voice-mail menus, and automatic segmentation of spontaneous responses from prepared questions. The latter situation can occur if it is desired to create a database of spontaneous data from data which consists of spontaneous discourse responding to prepared prompts. This paper outlines and compares three methods for automatically classifying spontaneous and non-spontaneous speech and presents the experimental results comparing the performance of the methods. All three methods are based on an analysis of the probability distributions of prosodic features extracted from the speech signal. The first method uses an expansion of the probability distribution in terms of the statistical moments. The second method is an application of a modified Hellinger's method applied to histograms of signal amplitude and other speech features. The third method is based on a measure of the non-Gaussianity of the data.
Demeanor and credibility

From private exchanges to public forums, demeanor is regarded as a reliable index of one's credibility. Because demeanor — the way a person behaves — refers in large measure to one's nonverbal behavior, this implies confidence in kinesic cues to credibility. Verbal content signs, such as consistency and plausibility, can be gleaned from a good transcript. Paralinguistic aspects of demeanor, such as response latencies, can be heard in audiotapes of testimony. But the jury must see as well as hear the witness. This legal principle is a codified expression of a widespread confidence in the human ability to decipher credibility from physical demeanor and to accept judgments based on demeanor that have serious consequences. Those who review research on detecting deception from nonverbal behavior are not so confident (Knapp and Comadena 1979; Miller and Burgoon 1982; Miller and Stiff 1993; Zuckerman, DePaulo, and Rosenthal 1981). If nonverbal behavior is a 'royal road' to deception detection, few travelers appear able to navigate it. There is considerable evidence that people cannot detect deception from nonverbal cues at a level much better than chance, and this includes law enforcement officers and polygraphers (Kraut and Poe 1980; Ekman and O'Sullivan 1991; Patrick and lacono 1989). For detectives, jurors, and others whose work depends on assessing credibility, the research message is cautionary: you cannot trust your intuition or your professional training; the cues you use are likely to be the wrong ones (Kraut and Poe 1980); the research offers relatively little help for improving your accuracy; but if you must try, here is a daunting list of warnings (Ekman 1992). Evidence on nonverbal cues to credibility is so contradictory and negative, some researchers are advising that the effort shift to a more rigorous search for linguistic indices (Miller and Stiff 1993). As someone involved in nonverbal communication research for over thirty years, the senior author reads such advice with a sense of deja vu. She has seen several subjects of inquiry go through a similar process: great enthusiasm
Mothers' fantasy representations and infant security of attachment: A Rorschach study of first pregnancy.

The relation between aspects of pregnant women's fantasy representations on the Rorschach test and infant attachment status at 1 year was studied. The Manual for Assessing Primary Process Manifestations in Rorschach Responses (Holt 1968) was used to score Rorschach protocols gathered from 25 women during their first pregnancies. Twelve-months-old and their mothers were later videotaped in the Strange Situation, a laboratory procedure that assesses infant attachment behaviors.
Psychological type and conceptions of empathy in experienced counsellors

Abstract Definitions of empathy vary widely. One explanation is that the different conceptions reflect personality differences. We investigated this idea with a sample of fifteen experienced counsellor, using the Myers-Briggs Type Indicator to measure aspects of personality and semistructured interviews to measure conceptions and reported practice of empathy. Counsellors who preferred sensing were found to make more references to empathy as a state and intuitive types to process. Those who preferred thinking and judging had a more active conception and reported practice, while feeling and perceiving types referred to a passive approach. Further relationships predicted by Myer-Briggs theory, between preference for thinking and cognitive empathy, and feeling and affective empathy, were close to statistical significance. Therefore, different psychological types do seem to define empathy differently. Implications for counselling theory, practice and training and education are discussed.
Quantification of lymphatic function for investigation of lymphedema: depot clearance and rate of appearance of soluble macromolecules in blood.

UNLABELLED The object of this study was to develop a new technique for the quantitative measurement of lymphatic function. The rate of clearance of radiolabeled protein from a subcutaneous depot is supplemented by measurement of the appearance of the protein in venous blood. This initial study was performed on normal arms, with a view to subsequent clinical application such as in the investigation of women with breast cancer--related lymphedema (BCRL). METHODS Fourteen healthy volunteers (12 women, 2 men) and 8 women awaiting surgery for breast cancer were recruited for the study. Each received subcutaneous depot injection of protein solution in the second dorsal web space of each hand, labeled with (111)In on one side and with (99m)Tc on the other side. Human serum albumin (HSA) was the protein used in the first 8 subjects and human polyclonal immunoglobulin G (HIgG) was used thereafter. The activity at each depot was measured at regular intervals using a collimated sodium iodide scintillation detector, and the activity in venous blood sampled from both arms was measured in an automatic sample counter. RESULTS (99m)Tc-HSA cleared from the depot consistently faster than (111)In-HSA (P = 0.001). The proportions of radionuclide remaining bound to protein in venous blood were higher for (99m)Tc than for (111)In. HIgG displayed improved labeling stability for both nuclides, reflected in equal rates of clearance. Blood activity rose steadily after an early latent phase and for HIgG correlated strongly with the rate of clearance from the depot (P < 0.001). Marked variation between individuals was observed. CONCLUSION A dual-isotope technique relies on identical behavior of the 2 radiopharmaceuticals used. This study shows that this is the case with respect to HIgG but not HSA. (99m)Tc-HSA cleared faster than (111)In-HSA and yet displayed better in vivo labeling stability. We conclude that (111)In dissociates from HSA in the depot but then becomes locally bound. Using HIgG, a close correlation was observed between the rates of clearance from the depot and the appearance in venous blood. This finding suggests that HIgG would be a suitable marker for subsequent dual-isotope studies on women with BCRL.
Local quadratic and nonquadratic stabilization of discrete-time TS fuzzy systems

This paper proposes conditions for the local stabilization of discrete-time Takagi-Sugeno fuzzy systems, for which all existing conditions consider only global stabilization. The conditions are developed first considering a quadratic Lyapunov function and are then extended for non-quadratic Lyapunov functions. An estimate of the region of attraction is also obtained. The conditions are illustrated and discussed on a numerical example.
Learning with Bayesian networks and probability trees to approximate a joint distribution

Most of learning algorithms with Bayesian networks try to minimize the number of structural errors (missing, added or inverted links in the learned graph with respect to the true one). In this paper we assume that the objective of the learning task is to approximate the joint probability distribution of the data. For this aim, some experiments have shown that learning with probability trees to represent the conditional probability distributions of each node given its parents provides better results that learning with probability tables. When approximating a joint distribution structure and parameter learning can not be seen as separated tasks and we have to evaluate the performance of combinations of procedures for inducing both structure and parameters. We carry out an experimental evaluation of several combined strategies based on trees and tables using a greedy hill climbing algorithm and compare the results with a restricted search procedure (the Max-Min hill climbing algorithm).
Externalities in North-South technology transfer: the case of CNG engines in Iran

This contribution focuses on illuminating the challenges and difficulties of North-South technology transfer. The central message of this paper is that North-South technology transfer is not simply a contract between two transacting firms and does not depend only on intra-firm and inter-firm factors. The process may also be influenced by a number of external factors, beyond the control or power of project managers. However, understanding of these external factors greatly influences the success of firms' technological development. These externalities could arise from North-South contexts variances, international atmosphere and even by different levels of both sides' actors involved in the process. Using an in-depth case study analysis for collaboration between Iranian and German companies, this article develops a clearer understanding of external factors which affect the cross-border technology transfer process.
Capability Myths Demolished

We address three common misconceptions about capability-based systems: the Equivalence Myth (access control list systems and capability systems are formally equivalent), the Confinement Myth (capability systems cannot enforce confinement), and the Irrevocability Myth (capability-based access cannot be revoked). The Equivalence Myth obscures the benefits of capabilities as compared to access control lists, while the Confinement Myth and the Irrevocability Myth lead people to see problems with capabilities that do not actually exist. The prevalence of these myths is due to differing interpretations of the capability security model. To clear up the confusion, we examine three different models that have been used to describe capabilities, and define a set of seven security properties that capture the distinctions among them. Our analysis in terms of these properties shows that pure capability systems have significant advantages over access control list systems: capabilities provide much better support for least-privilege operation and for avoiding confused deputy problems.
Healing dimensions of Somali poetry in response to military humanitarian intervention

The US-led UN military humanitarian intervention in Somalia (UN Operation in Somalia, 1992–1995), involved high levels of lawful violence (collateral damage) and unlawful abuses (killings, torture, rape, humiliation, and bullying) perpetrated by the intervening forces against the local population. Over a decade after violent events, the psychosocial world of the Somali people remains largely dominated by undigested particles of the devastating experiences and their personal narratives display variety of unprocessed “images of horror” and other verbal and nonverbal trauma signals. However, in contrast to the personal narratives which often re-enact traumatic past, Somali oral verses perform a multifunctional role in facilitating psychosocial healing and recovery relying on both traditional and modern artistic tools. Focusing on several pieces of intervention-related poetry collected in Dadaab refugee camps, Nairobi, and London, this paper explores the complex and multilayered therapeutic agency of the Somali oral verse in relation to individual and collective suffering inflicted by military intervention.
Bayesian classification of task-oriented actions based on stochastic context-free grammar

This paper proposes a new approach for recognition of task-oriented actions based on stochastic context-free grammar (SCFG). Our attention puts on actions in the Japanese tea ceremony, where the action can be described by context-free grammar. Our aim is to recognize the action in the tea services. Existing SCFG approach consists of generating symbolic string, parsing it and recognition. The symbolic string often includes uncertainty. Therefore, the parsing process needs to recover the errors at the entry process. This paper proposes a segmentation method errorless as much as possible to segment an action into a string of finer actions. This method, based on an acceleration of the body motion, can produce the fine action corresponding to a terminal symbol with little error. After translating the sequence of fine actions into a set of symbolic strings, SCFG-based parsing of this set leaves small number of ones to be derived. Among the remaining strings, Bayesian classifier answers the action name with a maximum posterior probability. Giving one SCFG rule the multiple probabilities, one SCFG can recognize multiple actions
Estimating GARCH models using support vector machines

Abstract Support vector machines (SVMs) are a new nonparametric tool for regression estimation. We will use this tool to estimate the parameters of a GARCH model for predicting the conditional volatility of stock market returns. GARCH models are usually estimated using maximum likelihood (ML) procedures, assuming that the data are normally distributed. In this paper, we will show that GARCH models can be estimated using SVMs and that such estimates have a higher predicting ability than those obtained via common ML methods. * Paper presented at Applications of Physics in Financial Analysis (APFA) 3, 5-7 December 2001, Museum of London, UK.
Interpretation of Genetic Association Studies: Markers with Replicated Highly Significant Odds Ratios May Be Poor Classifiers

Recent successful discoveries of potentially causal single nucleotide polymorphisms (SNPs) for complex diseases hold great promise, and commercialization of genomics in personalized medicine has already begun. The hope is that genetic testing will benefit patients and their families, and encourage positive lifestyle changes and guide clinical decisions. However, for many complex diseases, it is arguable whether the era of genomics in personalized medicine is here yet. We focus on the clinical validity of genetic testing with an emphasis on two popular statistical methods for evaluating markers. The two methods, logistic regression and receiver operating characteristic (ROC) curve analysis, are applied to our age-related macular degeneration dataset. By using an additive model of the CFH, LOC387715, and C2 variants, the odds ratios are 2.9, 3.4, and 0.4, with p-values of 10−13, 10−13, and 10−3, respectively. The area under the ROC curve (AUC) is 0.79, but assuming prevalences of 15%, 5.5%, and 1.5% (which are realistic for age groups 80 y, 65 y, and 40 y and older, respectively), only 30%, 12%, and 3% of the group classified as high risk are cases. Additionally, we present examples for four other diseases for which strongly associated variants have been discovered. In type 2 diabetes, our classification model of 12 SNPs has an AUC of only 0.64, and two SNPs achieve an AUC of only 0.56 for prostate cancer. Nine SNPs were not sufficient to improve the discrimination power over that of nongenetic predictors for risk of cardiovascular events. Finally, in Crohn's disease, a model of five SNPs, one with a quite low odds ratio of 0.26, has an AUC of only 0.66. Our analyses and examples show that strong association, although very valuable for establishing etiological hypotheses, does not guarantee effective discrimination between cases and controls. The scientific community should be cautious to avoid overstating the value of association findings in terms of personalized medicine before their time.
Hierarchies and learning in the conservatoire: Exploring what students learn through the lens of Bourdieu

This article explores the intersection between institutional hierarchies and learning at a UK conservatoire. Conceptualizing learning as a social practice situated in a hierarchical social space, the article draws on the theorization of Bourdieu to understand how students are positioned in the conservatoire field and what this means in terms of their learning. Working within a social constructionist framework, the study adopted qualitative research with two case students, making use of a trilogy of methods: semi-structured interviews, participant self-documentation and participant-verification interviews. Findings reveal that as students participate in the conservatoire field they appear to learn their position in the conservatoire’s hierarchies, and that their position relates to what and how they learn. The conservatoire’s hierarchical organization can thus be considered an important factor in shaping student learning, illuminating the need for further research to explore how learning experiences and opportunities can be maximized for all conservatoire students.