Miracle-dz/UniFAR-FTUs huggingface dataset:
Introduction: Cultural Studies, Marxism and the Exile of Aesthetics

To reflect on the relationship between “cultural studies” and “aesthetics” is to master the art of holding two opposing insights in mind at once. In theory, at least as set out by some of cultural studies’ leading lights, the aesthetic is bound up with forms of privilege, mysticism and elitism that are anathema to the key critical currents in the field. In practice, however, aesthetic engagement and aesthetic evaluation remain popular tools of the critical trade. Cultural studies, it seems, does not “do” aesthetics—except, of course, when it always does.1 And this constitutive inconsistency has deep (inter)disciplinary roots. While clearly a function of cultural studies’ repudiation of philosophical aesthetics and received notions of high culture, cultural studies’ fraught relationship with the aesthetic is also a legacy of the field’s fraught relationship with Marxist cultural theory, a diverse body of scholarship with a long history of politicallyand historicallyengaged forms of aesthetic analysis. The theme of ‘capitalist aesthetics’ that frames this issue, then, is dual in its critical affordances. On the one hand, it points forward, providing a glimpse of what cultural studies might look like if it more explicitly embraced aesthetic attention and aesthetic discrimination. On the other, it points backward, inviting us to trace existing histories of contact and divergence between cultural studies and an array of critical practices that have acknowledged the significance of form, sensation and judgment in shaping the political and social meaning of everyday cultural experiences.
Factors Promoting Use of Mental Health Services in a Rural Area of Australia

This paper reports research which identified a number of mental health help-seeking responses in a rural region of Australia. It describes the characteristics of services and of individual health professionals, as well as some Australian government initiatives that may promote help seeking behaviours. Focus group and individual interviews were undertaken. Participants included those who had personally experienced mental ill health, family and professional careers of individuals with mental ill health and individuals from rural culturally and linguistically diverse (CALD) communities. The researchers found that while many previously reported factors, such as stigma, limited confidentiality, cost factors, and previous negative experiences with mental health care continue to inhibit help-seeking, a number of responses and initiatives may actively promote help-seeking behaviours. These include: mental health literacy; targeted government schemes; accessible information; continuity of care and affordable services. The paper concludes that promoting these help-seeking enablers may support more desirable outcomes for those experiencing mental-ill healths in rural areas of Australia.
The software architecture of climate models: a graphical comparison of CMIP5 and EMICAR5 configurations

Abstract. We analyze the source code of eight coupled climate models, selected from those that participated in the CMIP5 (Taylor et al., 2012) or EMICAR5 (Eby et al., 2013; Zickfeld et al., 2013) intercomparison projects. For each model, we sort the preprocessed code into components and subcomponents based on dependency structure. We then create software architecture diagrams that show the relative sizes of these components/subcomponents and the flow of data between them. The diagrams also illustrate several major classes of climate model design; the distribution of complexity between components, which depends on historical development paths as well as the conscious goals of each institution; and the sharing of components between different modeling groups. These diagrams offer insights into the similarities and differences in structure between climate models, and have the potential to be useful tools for communication between scientists, scientific institutions, and the public.
Personalized medicine through automatic extraction of information from medical texts

The wealth of medical-related information available today gives rise to a multidimensional source of knowledge. Research discoveries published in prestigious venues, electronichealth records data, discharge summaries, clinical notes, etc., all represent important medical information that can assist in the medical decision-making process. The challenge that comes with accessing and using such vast and diverse sources of data stands in the ability to distil and extract reliable and relevant information. Computerbased tools that use natural language processing and machine learning techniques have proven to help address such challenges. This current work proposes automatic reliable solutions for solving tasks that can help achieve a personalized-medicine, a medical practice that brings together general medical knowledge and case-specific medical information. Phenotypic medical observations, along with data coming from test results, are not enough when assessing and treating a medical case. Genetic, life-style, background and environmental data also need to be taken into account in the medical decision process. This thesis’s goal is to prove that natural language processing and machine learning techniques represent reliable solutions for solving important medical-related problems. From the numerous research problems that need to be answered when implementing personalized medicine, the scope of this thesis is restricted to four, as follows: 1. Automatic identification of obesity-related diseases by using only textual clinical data; 2. Automatic identification of relevant abstracts of published research to be used for building systematic reviews; 3. Automatic identification of gene functions based on textual data of published medical abstracts;
Extraction of database and software usage patterns from the bioinformatics literature

Method forms the basis of scientific research, enabling criticism, selection and extension of current knowledge. However, methods are usually confined to the literature, where they are often difficult to find, understand, compare, or repeat. Bioinformatics and computational biology provide a rich opportunity for resource creation and discovery, with a rapidly expanding "resourceome". Many of these resources are difficult to find due to the large choice available, and there are only a limited number of sufficiently populated lists that can help inform resource selection. Text mining has enabled large scale data analysis and extraction from within the scientific literature, and as such can provide a way to help explore the vast wealth of resources available, which form the basis of bioinformatics methods. As such, this thesis aims to survey the computational biology literature, using text mining to extract database and software resource name mentions. By evaluating the common pairs and patterns of usage of these resources within such articles, an abstract approximation of the in silico methods employed within the target domain is developed.Specifically, this thesis provides an analysis of the difficulties of resource name extraction from the literature, then using this knowledge to develop bioNerDS - a rule-based system that can detect database and software name mentions within full-text documents (with a final F-score of 67%). bioNerDS is then applied to the full-text document corpus from PubMed Central, the results of which are then explored to identify the differences in resource usage between different domains (bioinformatics, biology and medicine) through time, different journals and different document sections. In particular, the well established resources (e.g., BLAST, GO and GenBank) remain pervasive throughout the domains, although they are seeing a slight decline in usage. Statistical programs see high levels of usage, with R in bioinformatics and SPSS in medicine being frequently mentioned throughout the literature.An overview of the common resource pairs has been generated by pairing database and software names which directly co-occur after one another in text. Combining and aggregating these resource pairs together across the literature enables the generation of a network of common resource patterns within computational biology, which provides an abstract representation of the common in silico methods used. For example, sequence alignment tools remain an important part of several computational biology analysis pipelines, and GO is a strong network sink (primarily used for data annotation). The networks also show the emergence of proteomics and next generation sequencing resources, and provide a specialised overview of a typical phylogenetics method.This work performs an analysis of common resource usage patterns, and thus provides an important first step towards in silico method extraction using text-mining. This should have future implications in community best practice, both for resource and method selection.
Investigation of the relationship between conceptual understanding and quantitative problem-solving in optics

This study outlines ongoing research within the area of physics education, namely the investigation of the relationship between conceptual understanding and quantitative problem-solving. Industry, society and research need graduates to be excellent problem solvers with an ability to conceptualise and transfer their understanding and knowledge. However recent research has shown that physics students are not developing the conceptual understanding necessary to become adept problem-solvers. Physics education tends to rely on the assumption that students will develop an understanding of the conceptual nature of physics by solving quantitative problems. Research has shown that this is not the case and students cannot develop as problem-solvers without first having the conceptual understanding. Many of these physics graduates go on to work in optics, in areas such as nanotechnology, photonics fabrication and optical sensing. This research involves an investigation of student learning in physics and the impact this has on conceptual understanding and their ability to solve quantitative and qualitative problems. It builds on research carried out in the United States in order to obtain a better understanding of how students learn physics and the difficulties they have developing an understanding of the conceptual nature of physics. It aims to develop a systematic way of identifying students’ misconceptions in physics and to assess the affect these have on student learning and the development of understanding. This research will inform teaching and assessment practices, not only in physics education but also in other disciplines so that third level education can produce better problem-solvers for industry, research and a knowledge-based society.
Fuzzy global control for complex systems

In this paper, a fuzzy global controller based on sliding mode control is proposed for a reasonable amalgamation of local controllers to meet various control requirements for complex systems operating in highly uncertain environments. Also, a fuzzy logic approach is developed for the smooth allocation of several algorithms of a controller to gain the advantages, and at the same time to alleviate the disadvantages of each control algorithm. Illustrative examples are provided.
Measuring Health-Related Quality of Life: General Issues

Clinicians and policy makers recognize the importance of measuring health-related quality of life (HRQL) to make informed patient management and policy decisions. Self- or interviewer-administered questionnaires can be used to measure cross-sectional differences in quality of life among patients at a point in time (discriminative instruments) or longitudinal changes in HRQL within patients over time (evaluative instruments). Both discriminative and evaluative instruments must be valid (ie, measure what they are supposed to measure) and have a high ratio of signal to noise (reliability and responsiveness for the two instruments, respectively). Reliable discriminative instruments are able to differentiate reproducibly among persons. Responsive evaluative measures are able to detect important changes in HRQL over time, even if those changes are small. HRQL should also be interpretable B that is, clinicians and policy makers must be able to identify differences in scores that correspond to trivial, small, moderate and large differences.
Joint Data Routing and Power Scheduling for Wireless Powered Communication Networks

In a wireless powered communication network, an energy access point (EAP) supplies the energy needs of the network nodes through radio frequency wave transmission, and the nodes store the received energy in their batteries for their future data transmission. In this paper, we propose an online stochastic policy that jointly controls energy transmission from the EAP to the nodes and data transfer among the nodes. Our proposed policy is designed using a quadratic Lyapunov function to capture the limitations on the energy consumption of the nodes imposed by their battery level. The proposed policy is adaptive to different channel statistics of the network. We provide theoretical analysis for the performance of the proposed policy and show that it stabilizes the network. Moreover, the average energy consumption of the network under this policy is within a bounded gap of the minimum energy level required for stabilizing the network.
An Ontology-based Fuzzy Inference System for Computer Go Applications

In order to stimulate the development and research in computer Go, several Taiwanese Go players were invited to play against some famous computer Go programs. Those competitions revealed that the ontology model for Go game might resolve problems happened in the competitions. Therefore, this paper presents a Go game record ontology and Go board ontology schemes. An ontology-based fuzzy inference system is also developed to provide the regional alarm level for a Go beginner or a computer Go program in order to place the stone at the much more appropriate position. Experimental results indicate that the proposed approach is feasible for computer Go application. Hopefully, advances in the intelligent agent and the ontology model can provide a significant amount of knowledge to make a progress in computer Go program and achieve as much as computer chess or Chinese chess in the future.
Telemedicine vs in-person cancer genetic counseling: measuring satisfaction and conducting economic analysis

Correspondence: Santanu K Datta Center for health Services Research in Primary Care, Durham Veterans Affairs Medical Center (152), 508 Fulton St., Durham, NC 27705, USA Tel +1 919-286-6936 Tel +1 919-416-5836 Email santanu.datta@duke.edu Abstract: Cancer genetic counseling (CGC) provides benefits and is the standard of care for individuals at increased risk of having a hereditary cancer syndrome. CGC services are typically centered in urban medical centers, leading to limited access to counseling in rural communities. Telemedicine has the potential to improve access to CGC, increase efficient use of genetic counselors, and improve patient care in rural communities. For telemedicine CGC to gain wide acceptance and implementation it needs to be shown that individuals who receive telemedicine CGC have high satisfaction levels and that CGC is cost-effective; however little research has been conducted to measure the impact of telemedicine CGC. This paper describes the design and methodology of a randomized controlled trial comparing telemedicine with in-person CGC. Measurement of patient satisfaction and effectiveness outcomes are described, as is measurement of costs that are included in an economic analysis. Study design and methodologies used are presented as a contribution to future comparative effectiveness investigations in the telemedicine genetic counseling field.
Semi-global stabilization of minimum phase nonlinear systems in special normal form via linear high-and-low-gain state feedback

The authors provide an alternative solution to the problem of semiglobal stabilization of a class of minimum phase nonlinear systems that was considered by A.R. Teel (1991). The method used yields a stabilizing linear state feedback law in contrast to a nonlinear state feedback law proposed by Teel. The peaking phenomenon is eliminated by inducing a specific time-scale structure in the linear part of the closed-loop system. This structure consists of a very slow and a very fast time scale. The crucial component in the method is the relation between the slow and the fast time-scales. The proposed linear state feedback control law has a single tunable gain parameter that allows for local asymptotic stability and regulation to the origin for any initial condition in some a priori given (arbitrarily large) bounded set. <<ETX>>
Enhancing the bit error rate performance of ultra wideband systems using time-hopping pulse position modulation in multiple access environments

Ultra-Wide Band (UWB) technology is one of the possible solutions for future short-range indoor data communication with uniquely attractive features inviting major advances in wireless communications, networking, radar, imaging, and positioning systems. A major challenge when designing UWB systems is choosing a suitable modulation technique. Data rate, transceiver complexity, and BER performance of the transmitted signal are all related to the employed modulation scheme. Several classical modulation schemes can be used to create UWB signals, some are more efficient than others. These schemes are namely, Pulse Position Modulation (PPM), Pulse Amplitude Modulation (PAM), Binary Phase Shift Keying (BPSK), and On-Off Keying (OOK) are reviewed. In the thesis, the performance of PPM system, combined with Time Hopping Spread Spectrum (THSS) multiple access technique is evaluated in an asynchronous multiple access free space environment. The multiple access interference is first assumed to be a zero mean Gaussian random process to simulate the scenario of a multi user environment. An exact BER calculation is then evaluated based on the characteristic function (CF) method, for Time Hopping-Pulse Position Modulation Ultra Wide Band (TH-PPM UWB) systems with multiple access interference (MAI) in AWGN environment. The resulting analytical expression is then used to assess the accuracy of the MAI Gaussian Approximation (GA) first assumed. The GA is shown to be inaccurate for predicting BERs for medium and large signal-to-noise ratio (SNR) values. Furthermore, the analysis of TH-PPM system is further extended to evaluate the influence of changing and optimising some of the system or signal parameters. It can be shown how the system is greatly sensitive to variations in some signal parameters, like the pulse shape, the time-shift parameter associated with PPM, and the pulse length. In addition, the system performance can be greatly improved by optimising other system parameters like the number of pulses per bit, Ns, and the number of time slots per frame, Nh. All these evaluation are addressed through numerical examples. Then, we can say that, by improving signal or system parameters, the BER performance of the system is greatly enhanced. This is achieved without imposing exact complexity to the transceiver and with moderate computational calculations.
Power analysis of gated pipeline registers

System-on-chip (SoC) is becoming a reality as industry begin to combine a wide range of complex functionalities on a single die. System power optimization becomes an important issue in ensuring practical packaging and system reliability. In this paper, we measure the benefits of using clock gating on pipeline registers in a RISC datapath. Different pipeline register fields are gated by different already available control signals. The architectural level simulation results show that this technique can effectively reduce switch capacitance by 55.2% for pipeline registers and 22.1% for the datapath on average.
Intervenir para reparar: recuperación de la dignidad y la salud mental en contextos de violencia

Desde el ano 2005 el Grupo de Investigacion en Desarrollo Humano -GIDHUM- y el Programa de Psicologfa de la Universidad del Norte (Colombia), en conjunto con la Universidad Autonoma de Madrid (Espafia) y la Universidad Centroamericana Jose Simeon Canas (El Salvador), han desarrollado una serie de investigaciones en torno a la salud mental de las personas expuestas a la violencia sociopolitica y de genero, partiendo del supuesto de que la salud mental es algo mas que la mera ausencia de trastorno, y que tanto en un caso como en otro el protagonista es un sujeto socio-historico. Los resultados de dichas investigaciones fueron utiles para proponer dos programas de intervencion, que se soportan en tres estrategias capaces de dotar a estas personas, y a las comunidades a las que pertenecen, de herramientas para poder enfrentarse a los eventos estresantes que han definido su vida en el pasado y a los que puedan sobrevenir en el futuro. La experiencia de estos programas de intervencion constituye el objetivo de este texto.
The Reasoned Action Approach in HIV Risk-Reduction Strategies for Adolescents

Adolescents worldwide are at high risk for adverse consequences of sexual activity, including HIV, other sexually transmitted diseases, and unintended pregnancy. Effective intervention strategies are needed to address this risk. This article discusses the advantages of the reasoned action approach for developing such strategies, including the ability to integrate population-specific qualitative information with the approach to develop an intervention that is both theoretically grounded and culturally appropriate. It also describes an application of the approach in developing “Let Us Protect Our Future,” a culturally appropriate HIV risk-reduction intervention for adolescents in South Africa, where sexually transmitted HIV infections are having an especially devastating impact. The results of a randomized controlled trial revealed that grade 6 students in schools that received the intervention were less likely to report having sexual intercourse, unprotected sexual intercourse, and multiple sexual partners during the 12-month follow-up period than their counterparts in control schools.
Four domains of complexity

In this short paper, which reflects on one of my contributions to the systems literature in 1992 (Pluralism and the Legitimation of Systems Science), I discuss the context at that time. Systems scientists were embroiled in a paradigm war, which threatened to fragment the systems research community. This is relevant, not only to understanding my 1992 contribution, but also because the same paradigms are evident in the complexity science community, and therefore it potentially faces the same risk of fragmentation. Having explained the context, I then go on to discuss my proposed solution to the paradigm war: that there are four domains of complexity, three of which reflect the competing paradigms. The problem comes when researchers say that inquiry into just one of these domains is valid. However, when we recognise all four as part of a new theory of complexity, we can view them as complementary. The four domains are natural world complexity, or “what is” (where the ideal of inquiry is truth); social world complexity, or the complexity of “what ought to be” in relation to actual or potential action (where the ideal of inquiry is rightness); subjective world complexity, or the complexity of what any individual (the self or another) is thinking, intending or feeling (where the ideal of inquiry is understanding subjectivity); and the complexity of interactions between elements of the other domains of complexity in the context of research and intervention practice. Following a discussion of the relevance of this theory for complexity scientists, I end the paper with a final critical reflection on my 1992 paper, pointing to some theoretical assumptions and terminology that I would, in retrospect, revise.