Miracle-dz/UniFAR-FTUs huggingface dataset:
The wisdom of the commons: ensemble tree classifiers for prostate cancer prognosis

MOTIVATION Classification and regression trees have long been used for cancer diagnosis and prognosis. Nevertheless, instability and variable selection bias, as well as overfitting, are well-known problems of tree-based methods. In this article, we investigate whether ensemble tree classifiers can ameliorate these difficulties, using data from two recent studies of radical prostatectomy in prostate cancer. RESULTS Using time to progression following prostatectomy as the relevant clinical endpoint, we found that ensemble tree classifiers robustly and reproducibly identified three subgroups of patients in the two clinical datasets: non-progressors, early progressors and late progressors. Moreover, the consensus classifications were independent predictors of time to progression compared to known clinical prognostic factors.
Packing Square Tiles into One Texture

This paper deals with the packing of square tiles of the same size into one texture. Texture size is constrained by the graphics hardware. In particular, width and height resolutions must be powers of two. To cover the whole texture and avoid space loss, common schemes pack a number of tiles that is a power of two. We show that numbers of tiles like 5, 13, 17, 25, 34 and others can also be reached without wasting memory. To achieve this, our scheme takes advantage of texture rotation and the wrapping capability of texture-addressing, which gives a torus topology to the texture space.
Design of a lane change driver assistance system, with implementation and testing on motorbike

This paper addresses the problem of the development, implementation and testing of a Lane Change Decision Aid System on a motorcycle, by using a short range radar sensor and a set of LEDs to interface with the driver. First, a feasibility analysis for such application is performed, then the algorithm is described, and finally the results of on-road tests are presented to illustrate and validate the method. The algorithm is composed by a first block for stabilizing the detected objects through a finite state machine and filtering the data coming from the sensor by implementing a Kalman filter that reduces the sensor's inaccuracies. A decision block sets the state of the system by checking the position and speed of the detected objects, and finally an HMI block computes the Hazard Level considering position and Time-to-Collision of the detected objects and delivers a warning to the driver.
Phase reconstruction of spectrograms with linear unwrapping: Application to audio signal restoration

This paper introduces a novel technique for reconstructing the phase of modified spectrograms of audio signals. From the analysis of mixtures of sinusoids we obtain relationships between phases of successive time frames in the Time-Frequency (TF) domain. To obtain similar relationships over frequencies, in particular within onset frames, we study an impulse model. Instantaneous frequencies and attack times are estimated locally to encompass the class of non-stationary signals such as vibratos. These techniques ensure both the vertical coherence of partials (over frequencies) and the horizontal coherence (over time). The method is tested on a variety of data and demonstrates better performance than traditional consistency-based approaches. We also introduce an audio restoration framework and observe that our technique outperforms traditional methods.
Contextual Visualization of Actor Status in Social Networks

We propose a novel information visualization approach for an analytical method applied in the social sciences. In social network analysis, social structures are formally represented as graphs, and structural properties of these graphs are assumed to be useful in the explanation of social phenomena. A particularly important such property is the relative status of actors in a given network.
Hybrid PCA/SVM Method for Recognition of Non-Stationary Time Series

A SVM (Support Vector Machine)-like framework provides a novel way to learn linear Principal Component Analysis (PCA), which is easy to be solved and can obtain the unique global solution. SVM is good at classification and PCA features are introduced into SVM. So, a new recognition method based on hybrid PCA and SVM is proposed and used for a series of experiments on non-stationary time series. The results of non-stationary time series recognition and prediction experiments are presented and show that the method proposed is effective.
Leveraging wall-sized high-resolution displays for comparative genomics analyses of copy number variation

The scale of comparative genomics data frequently overwhelms current data visualization methods on conventional (desktop) displays. This paper describes two types of solution that take advantage of wall-sized high-resolution displays (WHirDs), which have orders of magnitude more display real estate (i.e., pixels) than desktop displays. The first allows users to view detailed graphics of copy number variation (CNV) that were output by existing software. A WHirD's resolution allowed a 10x increase in the granularity of bioinformatics output that was feasible for users to visually analyze, and this revealed a pattern that had previously been smoothed out from the underlying data. The second involved interactive visualization software that was innovative because it uses a music score metaphor to lay out CNV data, overcomes a perceptual distortion caused by amplification/deletion thresholds, uses filtering to reduce graphical data overload, and is the first comparative genomics visualization software that is designed to leverage a WHirD's real estate. In a field evaluation, a clinical user discovered a fundamental error in the way their data had been processed, and established confidence in the software by using it to `find' known genetic patterns in hepatitis C-driven hepatocellular cancer.
Closed-loop system for microwave-induced hyperthermia

Microwave technology is now widely used in a variety of medical applications such as cancer treatment and diagnostics. This paper describes the structure of a novel hyperthermia system for biomedical research. The software Ansoft HFSS was used to design a rectangular waveguide applicator. A closed-loop is presented in order to control the output power of the system by the temperature measured on the sample. Initial results from experimental testing are presented. In these results, it is shown that the water temperature can be increased from 21°C to 40°C in 12 minutes. As a result, it has been tested that the system works properly. The next step will be to apply the system to melanoma cancer cells.
Immersiveness and symmetry in copresent scenarios

Collaboration at a distance has long been a research goal of distributed virtual environments. A number of recent technologies, including immersive projection technology systems (IPTs) and head-mounted displays (HMDs), promise a new generation of technologies that are more intuitive to use than desktop-based systems. This paper presents an experiment that compares collaboration in five different settings. Pairs collaborated on the same puzzle-solving task using one of: an IPT connected to another IPT, an IPT connected to an HMD, an IPT connected to a desktop system, two connected desktop systems, or face-to-face collaboration with real objects. The findings demonstrate the benefits of using immersive technologies, and show the advantages of using symmetrical settings for better performance. Some usability problems of the different distributed settings are addressed, as well as factors such as "presence" and "copresence" and how these contribute to the participants' overall experiences.
3D Stacked IC demonstrator using Hybrid Collective Die-to-Wafer bonding with copper Through Silicon Vias (TSV)

In this paper we demonstrate functional 3D circuits obtained by a 3D Stacked IC approach using Die-to-Wafer Hybrid Collective bonding with Cu Through Silicon Vias (TSV). The Cu TSV process is inserted between contact and M1 of our reference 130nm CMOS process on 200mm wafers. The top die is thinned down to 25µm and bonded to the landing wafer by a combination of polymer bonding and copper to copper thermocompression bonding. Top and landing wafers contain CMOS finished with 2 levels of metal in Copper/Oxide. Ring oscillators consisting of inverters distributed over both top and bottom dies interconnected through up to 40 TSVs are used to demonstrate the process. This paper focuses on integration issues solved during process development and electrical characterization of the obtained TSVs.
Efficient algorithms for Euclidean shortest path and visibility problems with polygonal obstacles

The problem of determining the Euclidean shortest path between two points in the presence of m simple polygonal obstacles is studied. An O( m<supscrpt>2</supscrpt> logn + nlogn ) algorithm is developed, where n is the total number of points in the obstacles. A simple O(E+T) algorithm for determining the visibility graph is also shown, where E is the number of visibility edges and T is the time for triangulating the point set. This is extended to a O(E<subscrpt>s</subscrpt> + nlogn) algorithm for the shortest path problem where E<subscrpt>s</subscrpt> is bounded by m<supscrpt>2</supscrpt>.
A Huge Adenomatoid Odontogenic Tumor of Maxilla

The adenomatoid odontogenic tumor (AOT) is a benign, nonneoplastic (hamartomatous) lesion with a slow progressing growth. It occurs in both intraosseous and peripheral forms. This paper reports the case of a female aged 16 years who presented with a swelling in anterior maxilla; canine was missing, and a supernumerary tooth was present in the mid line. Radiology revealed a well-defined radiolucent area associated with impacted canine and root resorption of adjacent teeth, which was diagnosed histopathologically as AOT. The patient was treated surgically and later rehabilitated with fixed prosthesis.
Renormalization group study of random quantum magnets

We have developed a very efficient numerical algorithm of the strong disorder renormalization group method to study the critical behaviour of the random transverse field Ising model, which is a prototype of random quantum magnets. With this algorithm we can renormalize an N-site cluster within a time NlogN, independently of the topology of the graph, and we went up to N ∼ 4 × 106. We have studied regular lattices with dimension D ≤ 4 as well as Erdős–Rényi random graphs, which are infinite dimensional objects. In all cases the quantum critical behaviour is found to be controlled by an infinite disorder fixed point, in which disorder plays a dominant role over quantum fluctuations. As a consequence the renormalization procedure as well as the obtained critical properties are asymptotically exact for large systems. We have also studied Griffiths singularities in the paramagnetic and ferromagnetic phases and generalized the numerical algorithm for other random quantum systems.
Increased HIV Prevention Program Coverage and Decline in HIV Prevalence Among Female Sex Workers in South India

Background As one way of assessing the impact of Avahan, the India AIDS Initiative of the Bill & Melinda Gates Foundation, we examined the association between HIV prevention program indicators and changes in HIV prevalence among female sex workers (FSWs) between 2005 and 2009. Methods We conducted a secondary data analysis from 2 large cross-sectional surveys (2005–2006 and 2008–2009) across 24 districts in south India (n = 11,000 per round). A random-effect multilevel logistic regression analysis was performed using HIV as the outcome, with individual independent variables (from both surveys) at level 1 and district-level FSW-specific program indicators and contextual variables at level 2. Program indicators included their 2006 value, the difference in their values between 2008 and 2006, and the interaction between this difference and study round. Results HIV prevalence among FSWs decreased from 17.0% to 14.2% (P < 0.001). This decline varied significantly (P = 0.006) across levels of difference in program coverage (% of FSWs contacted by the program in a given year). Odds ratios comparing HIV prevalence between rounds changed with the level of increase in coverage and were statistically significant with coverage increase ≥ quartile (Q) 1: odds ratio, 0.85 at Q1; 0.78 at Q2; 0.66 at Q3; and 0.51 at Q4. Conclusions These findings suggest that increased program coverage was associated with declining HIV prevalence among FSWs covered by the Avahan program. The triangulation of our results with those from other approaches used in evaluating Avahan suggests a major impact of this intervention on the HIV epidemic in southern India.
The Relationship Between Treatment, Incarceration, and Recidivism of Battering: A Program Evaluation of Seattle's Coordinated Community Response to Domestic Violence

Men who batter (N = 387) were followed over 2 years using a quasi-experimental design. "Batterers" were court-mandated into domestic violence (DV) group treatment, DV treatment plus chemical dependency treatment, or were incarcerated in lieu of treatment. Official criminal records of treatment completers, treatment noncompleters, and incarcerated batters were compared 2 years after sentencing. Batteres who completed DV group treatment had fewer DV reoffenses at follow-up, and incarcerated batterers had a greater number, as compared with DV treatment noncompleters, after controlling for criminal record and demographics. The number of DV sessions attended was negatively correlated with recidivism. This study provides suggestive evidence that the coordinated domestic violence intervention may have a statistically significant but small impact on reducing domestic violence. (Abstract Adapted from Source: Journal of Family Psychology, 1999. Copyright © 1999 by the American Psychological Association) Domestic Violence Treatment Domestic Violence Offender Adult Offender Adult Violence Male Offender Male Violence Adult Male Spouse Abuse Treatment Spouse Abuse Offender Incarceration vs. Treatment Washington Treatment Program Incarceration Effects Treatment Effects Recidivism Program Evaluation Intervention Program Domestic Violence Intervention Spouse Abuse Intervention Partner Violence Violence Against Women 09-99
Cognitive analytic therapy: a sympathetic critique

Cognitive analytic therapy (CAT) is an increasingly popular form of time-limited therapeutic intervention in the UK, which claims success with a variety of psychological problems such as depression, trauma, eating disorders, anxiety related disorders, borderline personality disorder and histrionic personality disorder. This paper begins by outlining the theoretical origins of CAT as well as its main conceptual tools. Cognitive analytic therapy has its roots in the synthesis of cognitive psychology, personal construct theory and psychoanalytic object relations. However, I would suggest what is most promising in CAT is the (relatively) recent import of Vygotskian and Bakhtinian ideas such as the ‘zone of proximal development’ (ZPD) and ‘dialogic interaction’. Further ideas from critical psychology/psychotherapy are used to interrogate some of the limitations of CAT. I will be asking if CAT is a genuine gain for the contemporary worker who has to deal with greater psychic tension than before under a crisis-ridden capitalist regime. The paper ends with an assessment of CAT's future influence and the two principle trajectories available to it: ‘therapy as an expert system’ or ‘therapy as social critique’ (Totton, 2005, 86). Copyright © 2010 John Wiley & Sons, Ltd.
Preventing cancer through tobacco and infection control: how many lives can we save in the next 10 years?

This paper presents projections for cancer mortality, incidence and burden of disease (as disability adjusted life years) for 2005, 2015 and 2030. The projections are based on the latest available WHO mortality estimates from 2002, updated with mortality data from 107 countries and augmented by region and site-specific cancer survival models. Cancer accounted for an estimated 7.6 million deaths in 2005, and 72% of these deaths were in low-income and middle-income countries. For cancer deaths under age 70, 79% are estimated to occur in low-income and middle-income countries. Without intervention, the number of global deaths is projected to rise to 9 million in 2015 and a further 11.5 million in 2030. The rising burden of this disease, especially in low-income and middle-income countries, leads us to propose a global goal for cancer: a 2% reduction per annumover and above that which may happen as a result of current trends in prevention, case management and treatment. Achieving this goal would result in 7.7 million fewer deaths from cancer over the period from 2005 to 2015. More of these deaths will be averted in low-income and middle-income countries than in high-income countries. The scientific knowledge to achieve this goal already exists, and the target could be reached through effective cancer prevention strategies, including tobacco control, hepatitis B vaccination and prevention of cervical cancer.
The effect of compliance knowledge and compliance support systems on information security compliance behavior

Purpose The purpose of this paper is to understand from the knowledge management perspective how the mechanism of different voluntary compliance behaviors works and how information technology is used for compliance management in corporate settings where privacy and security issues are getting critical due to the advancement of big data and artificial intelligence. Design/methodology/approach In this study, the authors propose a structural model based on the theory of planned behavior and the IT relatedness theory that behavioral belief about compliance and social pressure affect compliance knowledge and compliance intention, and compliance knowledge partially mediates the impact of both independent variables on compliance intention. The authors surveyed with a structured questionnaire 975 employees of a major Korean energy company, S-OIL, which deploys a compliance support system. The respondents are classified into two groups: an Active IT Utilization Group and a Passive IT Utilization Group. Findings The results of our empirical examination show that compliance intention belief and social pressure influence compliance intention, and further, that compliance behavior is mediated by compliance knowledge – in both the active IT utilization group and the passive IT utilization group. However, the significance of each path coefficient, R square and the mediation effect in Model 1 (passive IT utilization group) are obviously a poor contrast to Model 2 (active IT utilization group). Also, the path from behavioral belief to compliance knowledge and social pressure to compliance knowledge show a significant moderating effect of IT utilization level. Originality/value This paper aims to promote more effective voluntary compliance behavior by increasing the understanding of the impact differences of the preceding factors, and the ways in which those are related to the knowledge management practice in terms of both knowledge itself and its support systems, i.e. compliance support system.
The politics of naming: critiquing “learner-centred” and “teacher as facilitator” in English language and humanities classrooms

“Learner-centred” and “teacher as facilitator,” among the most influential concepts (re)shaping education over the past decades, are often represented as bringing democratic participation, equality, and empowerment to learners and helping transform and liberate societies. At the same time, these concepts are constructed in binary terms with “teacher-centred” and “teacher as authority” projecting the two ends as being mutually exclusive. Drawing on data collected through interviews and scholarly works from teachers teaching Humanities and Teaching English to Speakers of Other Languages (TESOL) in Asian and English-speaking Western universities, this article examines their positionings, mode, and form of critique/criticality of learner-centred education. It demonstrates in what ways equality as the starting point (Ranciere) is not embedded in how learner-centred education has largely been promoted in these contexts. As well, while Ranciere’s concepts of equality and dissensus may empower those seen as marginalised and disadvantaged, these concepts fail to acknowledge the multiplicities and dynamics of positions of those presupposed to be “powerful” and “privileged. ”
EVIDÊNCIAS DE VALIDADE DA ESCALA DE PERCEPÇÃO DE SUPORTE ORGANIZACIONAL EM FUNCIONÁRIOS DE EMPRESA PÚBLICA E PRIVADA

Regarded as one of the constructs of greater influence on human behavior in organizations, perceived organizational support is defined as the perception by the employee that the organization values and cares for their well-being. Despite the finding of different instruments for measuring organizational support, in general Brazilian studies have used the scale of perceived organizational support - EPSO, in terms of their psychometric qualities and its small size, with only nine items that measure the construct so unidimensional. Despite the recognized usefulness of the instrument, were not found in the literature indicating its structural validity, reason that justified the main objective of the present study. Participants were 490 employees of different businesses in the city of Rio de Janeiro, aged 16-68 years (mean 39.82 years and standard deviation of 11.68 years), of which 169 were from public companies and 321 private companies, 59% were female and 54% were single. The results of the confirmatory factor analysis procedures ratified the psychometric qualities of EPSO, with indicators psychometric indicators that ensure their use in contexts of public and private organizations.
Getting ‘emotional’ in two languages: Bilinguals' verbal performance of affect in narratives of personal experience

Abstract This article explores the cross-linguistic expression of affect by comparing how the same bilingual speaker displays affect in her two languages. I demonstrate how Linda, a French-Portuguese bilingual daughter of Portuguese migrants in France, performs affect differently in narratives of personal experience told in her two languages. I use three approaches to compare and analyze Linda's verbal expression of affect in French and Portuguese. (1) I look at Linda's own comments about how she performs affect differently in French and Portuguese. (2) I then relate her reported intuitions about her affect to her actual display of affect in each language. I do this by comparing the formally locatable speaker role perspectives (interlocutor, narrator, character) from which Linda recounts the same experience in French and Portuguese. She speaks more often as an interlocutor in French, and more as a narrator in Portuguese. She performs the voices of quoted characters in more extreme styles in French than in Portuguese. (3) Finally I present other bilingual listeners' perceptions from audio recordings of Linda's affective displays. Listeners reported that Linda's French performance was more forceful/intense than her Portuguese, and that she came across as a different kind of person. From these three approaches, I argue that it is not the structural differences of the two languages that account for these findings, but rather, the repertoire of personas to which this speaker has access in each language.