Miracle-dz/UniFAR-FTUs huggingface dataset:
Theorizing About Theorizing: an Examination of the Contributions of William I. Grossman To Psychoanalysis

William Grossman's contributions to psychoanalysis are studied in the light of an interest that suffuses his papers: the remarkably complex ways an analyst develops his or her mind in order to become an effective analyst. Grossman sought to detail the many subtle factors infusing Freudian theory, from its initial sources to its consolidation as a system, to its embrace in the mind of an analyst who will use it, and on to the many iterations of its progress on the way to being applied in the clinical situation. This progression assumes a recognition of the analyst's need to be at once both experiencer and observer. Implicit in the attempt to understand another is a self-reflective taking of oneself as an object of analysis. How an essential tension is worked out between the subjective and objective points of view is an issue that pervades Grossman's writings. This is but one instance of a larger tendency characterizing his ideas—thinking psychoanalytically about psychoanalysis itself. Factors he implicated in being a contemporary Freudian analyst are then taken up.
The Role of Program Theory in Evaluation Research

We examined the extent to which mathematics program evaluations that have been conducted according to methodologically rigorous standards have attended to the theories underlying the programs being evaluated. Our analysis focused on the 37 reports of K–12 mathematics program evaluations in the last two decades that have met standards for inclusion in What Works Clearinghouse syntheses. Each report was coded for the extent to which program theory was articulated and used in the evaluation, and for evaluator, study, and program characteristics. Our analyses revealed that very few evaluations attended to program theory, but that aspects of program theory use—as well as reported effect sizes—varied by study and evaluator characteristics.
Privacy Preserving Speech Processing

• It is generally expected that intelligent devices will respond to voice. The voice will often not be processed locally, but relegated to a remote server, as data owners may not have the resources to process their own data. This poses serious privacy risks to the user. •A person’s voice is a legally-accepted biometric, and carries information about their identity, gender, nationality, health, emotional state and a variety of other factors. •The remote voice service could potentially make undesired inferences about any of these factors, which may be unrelated to the actual service provided. •This poster discuss ”privacy preserving” computational approaches for voice processing that prevent such undesired inferences through cleverly-designed cryptographic and hashing schemes.
Characterizing numascale clusters with GPUs: MPI-based and GPU interconnect benchmarks

Modern HPC clusters are increasingly heterogeneous both in processor types, topologies of computing, communication and storage resources. In this paper, we describe how to use benchmarking, to characterize the high-speed interconnect, NumaConnect, associated with a shared-memory Numascale cluster system with GPUs, constituting a novel testbed at NTNU. Numascale systems include a unique node controller, NumaConnect, based on the FPGA or ASIC-based NumaChip, depending on system vendor requirements. The system's interconnects uses AMD's HyperTransport protocol, and provide a cache-coherent shared-memory single image operating system. Our system has, in addition, a GPU added to each server blade. Our characterizations efforts target the NumaConnect which includes an RDMA-type Block Transfer Engine (BTE). The BTE is used by Byte Transfer Libraries such as the NumaConnect BTL (NC-BTL) for message passing (MPI) or BLACS. To characterize our Numascale system, we use several benchmark suites including: our own SimpleBench that includes ping-pong, MPI-Reduce and MPI-Barrier tests; two well-known MPI benchmark suites: the NAS Parallel Benchmarks (NPB)-MPI, the OSU microbenchmarks; as well as Nvidia's Bandwidth test for GPUs. Our results show that it is generally very beneficial to use MPI or other libraries that use the NC-BTL library. In fact, on selected OSU and NPB benchmarks, we achieve order-of-magnitude performance improvements on communication and synchronization costs on these benchmarks when using NC-BTL.
Integrity monitoring for UWB/INS tightly coupled pedestrian indoor scenarios

In this paper a tightly coupled UWB/INS system for pedestrian indoor applications is presented. In indoor environments wireless signal outage and severe multipath propagation very often lead to ranging errors and make pure UWB-based localization barely possible. On the other hand inertial sensor based systems (INS) are known for their drift with time. The integration of those two systems will allow to profit from their advantages. For the sensor data fusion the tightly coupled approach and integrity monitoring are crucial factors for a robust implementation. One possibility is the Time of Arrival (ToA) approach where the user clock bias and drift are modeled and estimated in the navigation filter. The other possibility is the Time Difference of Arrival (TDoA) approach, where the range measurements are differenced totally eliminating the clock error. If user/transmitter clocks do not follow the clock drift model very well, it is better to apply the TDoA approach. For time of arrival applications, innovation based integrity monitoring is standard. However for the use of Time Difference of Arrival measurements (TDoA) in this paper an Innovation Based Integrity Monitoring (IBIM) method is presented. This is done to determine and omit all TDoA measurement combinations including the incorrect UWB receivers. This novel approach is verified in a simulation environment. A user trajectory and inertial data are provided by a custom developed pedestrian walk generator, based on real measurement data. The UWB data is generated by a wave propagation simulator for the given indoor trajectory.
1 Which Widget ?

Knowledge Discovery and Data Mining techniques are now commonly used to find novel, potentially useful, patterns in data (Fayyad, et al., 1996; Chapman, et al., 2000). Most KDD applications involve post-hoc analysis of data and are therefore mostly limited to the identification of correlations. Recent seminal work on Quasi-Experimental Designs (Jensen, et al., 2008) attempts to identify causal relationships. Controlled experiments are a standard technique used in multiple fields. Through randomization and proper design, experiments allow establishing causality scientifically, which is why they are the gold standard in drug tests. In software development, multiple techniques are used to define product requirements; controlled experiments provide a way to assess the impact of new features on customer behavior. The Data Mining Case Studies workshop calls for describing completed implementations related to data mining. Over the last three years, we built an experimentation platform system (ExP) at Microsoft, capable of running and analyzing controlled experiments on web sites and services. The goal is to accelerate innovation through trustworthy experimentation and to enable a more scientific approach to planning and prioritization of features and designs (Foley, 2008). Along the way, we ran many experiments on over a dozen Microsoft properties and had to tackle both technical and cultural challenges. We previously surveyed the literature on controlled experiments and shared technical challenges (Kohavi, et al., 2009). This paper focuses on problems not commonly addressed in technical papers: cultural challenges, lessons, and the ROI of running controlled experiments.
Intelligent Multi-device user Interfaces

Interfaces represent the point of interaction between users and systems, defining their adaptability level in terms of usability and accessibility. These interfaces must advance in the same direction as the information society, where all objects of the world around us are being introduced like services to create the Internet of Things, and so, the Internet of The Future. Therefore, the new interfaces must guarantee that users have access to all information and functionality that the new Internet can provide. Those advances require a new develop interface concept where systems can create interfaces according to applications and users needs, always in a proactive form. In this way, the work presented in this paper tries to define a new semantic and architectural model to create intelligent and multi-device interface which may be adapted proactively according to the context and each users requirements.
SREBP-1-independent regulation of lipogenic gene expression in adipocytes Published, JLR Papers in Press, April 24, 2007.

Sterol regulatory element-binding protein (SREBP)-1c is now well established as a key transcription factor for the regulation of lipogenic enzyme genes such as FAS in hepatocytes. Meanwhile, the mechanisms of lipogenic gene regulation in adipocytes remain unclear. Here, we demonstrate that those in adipocytes are independent of SREBP-1c. In adipocytes, unlike in hepatocytes, the stimulation of SREBP-1c expression by liver X receptor agonist does not accompany lipogenic gene upregulation, although nuclear SREBP-1c protein is concomitantly increased, indicating that the activation process of SREBP-1c by the cleavage system is intact in adipocytes. Supportively, transcriptional activity of the mature form of SREBP-1c for the FAS promoter was negligible when measured by reporter analysis. As an underlying mechanism, accessibility of SREBP-1c to the functional elements was involved, because chromatin immunoprecipitation assays revealed that SREBP-1c does not bind to the functional SRE/E-box site on the FAS promoter in adipocytes. Moreover, genetic disruption of SREBP-1 did not cause any changes in lipogenic gene expression in adipose tissue. In summary, in adipocytes, unlike in hepatocytes, increments in nuclear SREBP-1c are not accompanied by transactivation of lipogenic genes; thus, SREBP-1c is not committed to the regulation of lipogenesis.
The feasibility of using thermal strain imaging to regulate energy delivery during intracardiac radio-frequency ablation

A method is introduced to monitor cardiac ablative therapy by examining slope changes in the thermal strain curve caused by speed of sound variations with temperature. The sound speed of water-bearing tissue such as cardiac muscle increases with temperature. However, at temperatures above about 50°C, there is no further increase in the sound speed and the temperature coefficient may become slightly negative. For ablation therapy, an irreversible injury to tissue and a complete heart block occurs in the range of 48 to 50°C for a short period in accordance with the well-known Arrhenius equation. Using these two properties, we propose a potential tool to detect the moment when tissue damage occurs by using the reduced slope in the thermal strain curve as a function of heating time. We have illustrated the feasibility of this method initially using porcine myocardium in vitro. The method was further demonstrated in vivo, using a specially equipped ablation tip and an 11-MHz microlinear intracardiac echocardiography (ICE) array mounted on the tip of a catheter. The thermal strain curves showed a plateau, strongly suggesting that the temperature reached at least 50°C.
Chinese Diaspora as a Virtual Nation: Interactive Roles between Economic and Social Capital

This paper attempts to analyse how and in what ways the Chinese diaspora interacts with globalisation in Southeast Asia through their economic and social capital. It explores the theories of globalisation and contrasts them with the thematic changes of Southeast Asia studies, and it conceptualises the economic power, the geographical dispersal nature and the social networking of Chinese diaspora in order to understand how a virtual nation is being constructed. It then examines empirical studies of that economic power using the specific case of Indonesia; comparative studies of Chinese companies in Southeast Asian countries; and foreign direct investment in China from the Association of Southeast Asian Nations. Finally, it surveys the building of the virtual community through ethnicity, languages, associations and Confucianism, from which social capital has been generated among the Chinese diaspora in Southeast Asia.
Automated Map Generation for the Physical Traveling Salesman Problem

This paper presents a method for generating complex problems that allow multiple nonobvious solutions for the physical traveling salesman problem (PTSP). PTSP is a single-player game adaptation of the classical traveling salesman problem that makes use of a simple physics model: the player has to visit a number of waypoints as quickly as possible by navigating a ship in real time across an obstacle-filled 2-D map. The difficulty of this game depends on the distribution of waypoints and obstacles across the 2-D plane. Due to the physics of the game, the shortest route is not necessarily the fastest, as the ship's momentum makes it difficult to turn sharply at high speed. This paper proposes an evolutionary approach to obtaining maps where the optimal solution is not immediately obvious. In particular, any optimal route for these maps should differ distinctively from: 1) the optimal distance-based TSP route and 2) the route that corresponds to always approaching the nearest waypoint first. To achieve this, the evolutionary algorithm covariance matrix adaptation-evolutionary strategy (CMA-ES) is employed, where maps, indirectly represented as vectors of real numbers, are evolved to differentiate maximally between a game-playing agent that follows two or more different routes. The results presented in this paper show that CMA-ES is able to generate maps that fulfil the desired conditions.
Pharmacokinetics of a novel transdermal rivastigmine patch for the treatment of Alzheimer’s disease: a review

Background: Cholinesterase inhibitors have all been available in oral formulations, but a rivastigmine transdermal patch has now been developed and is approved in many countries worldwide for the treatment of mild‐to‐moderate Alzheimer’s disease (AD) (including the USA, Latin America, Europe and Asia).
A new stator back iron design for brushless doubly fed machines

The brushless doubly-fed machine (BDFM) has been under investigation in its modern forms for 50 years. The reason for this interest is the machine's ability to operate as a brushless variable speed motor or generator through the use of a partially-rated power electronic converter connected to its second stator winding. Interest has increased in the last 20 years because of greater penetration of wind turbines with Doubly-Fed induction Generators (DFIGs) where brush gear and slip-ring maintenance and reliability have been a major issue. The BDFM appears in two forms, the brushless doubly fed induction machine (BDFIM), with two stator windings and a third closed rotor winding or the brushless doubly fed reluctance machine (BDFRM), with two stator windings and a reluctance rotor with no winding. This paper sets out to provide a rotor-centric view of BDFM operation, which shows the basis of its rotating flux pattern, aligning it with the known Natural Speed, and clarifying the synchronous and induction modes of operation of the BDFIM and the synchronous BDFRM. Based on rotor-centric view of the BDFM, it is shown that the conventional design methods for the BDFM stator back iron can be modified, leading to a lighter and smaller machine. The proposed design concepts are supported by analytical methods and their practicality is verified using 2-D Finite Element (FE) modeling and analysis of three experimental BDFMs.
Augmenting Social Interactions: Realtime Behavioural Feedback using Social Signal Processing Techniques

Nonverbal and unconscious behaviour is an important component of daily human-human interaction. This is especially true in situations such as public speaking, job interviews or information sensitive conversations, where researchers have shown that an increased awareness of one's behaviour can improve the outcome of the interaction. With wearable technology, such as Google Glass, we now have the opportunity to augment social interactions and provide realtime feedback on one's behaviour in an unobtrusive way. In this paper we present Logue, a system that provides realtime feedback on the presenters' openness, body energy and speech rate during public speaking. The system analyses the user's nonverbal behaviour using social signal processing techniques and gives visual feedback on a head-mounted display. We conducted two user studies with a staged and a real presentation scenario which yielded that Logue's feedback was perceived helpful and had a positive impact on the speaker's performance.
Failure data analysis of a large-scale heterogeneous server environment

The growing complexity of hardware and software mandates the recognition of fault occurrence in system deployment and management. While there are several techniques to prevent and/or handle faults, there continues to be a growing need for an in-depth understanding of system errors and failures and their empirical and statistical properties. This understanding can help evaluate the effectiveness of different techniques for improving system availability, in addition to developing new solutions. In this paper, we analyze the empirical and statistical properties of system errors and failures from a network of nearly 400 heterogeneous servers running a diverse workload over a year. While improvements in system robustness continue to limit the number of actual failures to a very small fraction of the recorded errors, the failure rates are significant and highly variable. Our results also show that the system error and failure patterns are comprised of time-varying behavior containing long stationary intervals. These stationary intervals exhibit various strong correlation structures and periodic patterns, which impact performance but also can be exploited to address such performance issues.
Determinants and consequences of early marriage in Java, Indonesia.

This study analyzes the determinants and patterns of early marriage and explores its consequences on marital dissolution, work status and occupation, migration, and contraceptive use in Java, Indonesia. Data from the 1991 Demographic and Health Survey are obtained on 5816 ever married women, 15-49 years old, living on Java. Early marriage occurs among women before age 20. Subjects are grouped as residing in Jakarta, Bandung, Semarang, Jogyakarta, and Surabaya; residing in townships and other urban areas; and residing in rural areas. Findings indicate that 70% of ever married women in Java married early. Almost 80% of women who were reared in villages married early. 81.2% who still live in rural areas married early. 20% had no formal education. 74% of Muslim women married early. 79% without work before marriage married early. Dissolution was more common among women living in rural areas. 31% of women in rural areas, 20% living in big cities, and 23% living in towns were no longer in their first marriages. Women who married early were 3 times more likely to experience dissolution than women who married later. The percentage of women whose first marriages ended was highest among women who were married the longest. The effect of marriage age on current working status and the pattern of working status between early and late marriage were not significant. 80% had ever used contraception. Women who married late were more mobile and were more likely to have a higher occupational status. Logistic findings indicate that women's education, work status before marriage, husband's education, and current residence were significant predictors of early marriage. Education was the strongest predictor. The probability of dissolution was highest among uneducated, early married, Muslim women living in big cities. The lowest probability was among later married women, living in small cities, and with a tertiary level of education.
Expression of epidermal growth factor and platelet-derived growth factor receptors during cervical carcinogenesis

SummaryAltered expression of epidermal growth factor receptor (EGFR) is common in a variety of epithelial malignancies, including cervical cancer. However, the prognostic significance of EGFR expression is controversial for cervical cancer. Platelet-derived growth factor receptor (PDGFR) expression status is unknown in cervical cancer. Our results demonstrated that expression of EGFR and PDGFR was greatly enhanced in vivo and in organotypic cultures of low-grade cervical dysplastic tissues, but levels were decreased in high-grade lesions. To our knowledge, this is the first report identifying the expression of PDGFR in human epithelium. When low-grade dysplastic organotypic culture tissues were induced to differentiate more completely, EGFR expression, but not PDGFR expression, was relocalized to the basal layer as seen in normal tissues. Differentiation also induced phosphorylation of EGFR but not PDGFR. Our results suggest a role for EGFR and PDGFR during the early stages of cervical carcinogensis, and demonstrate the facility of organotypic cultures to study the role of these growth factors in the development of cervical cancer.
Enhancing Spectral Unmixing by Local Neighborhood Weights

Spectral unmixing is an effective technique to remotely sensed data exploitation. In this paper, appropriate weights in a local neighborhood are designed to enhance spectral unmixing. The weights integrate the spectral and spatial information, and can effectively segment the homogenous and transition areas between different ground cover types. Based on this region-segmentation, pure-pixel-based end-member extraction algorithms are insensitive to the anomalous pixel, and thus perform more robust. In addition, the weights can be used to regularize non-pure-pixel-based unmixing methods, such as nonnegative matrix factorization (NMF). By incorporating the designed local neighborhood weights, a weighted nonnegative matrix factorization (WNMF) algorithm for spectral unmixing is proposed in this paper. Meanwhile, a multiplicative update rule for WNMF is presented, and the monotonic convergence of the rule is proved. Experiments on synthetic and real hyperspectral data validate the effectiveness of the designed weights.
Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments

Iris recognition is one of the most powerful techniques for biometric identification ever developed. Commercial systems based on the algorithms developed by John Daugman have been available since 1995 and have been used in a variety of practical applications. However, all currently available systems impose substantial constraints on subject position and motion during the recognition process. These constraints are largely driven by the image acquisition process, rather than the particular pattern-matching algorithm used for the recognition process. In this paper we present results of our efforts to substantially reduce constraints on position and motion by means of a new image acquisition system based on high-resolution cameras, video synchronized strobed illumination, and specularity based image segmentation. We discuss the design tradeoffs we made in developing the system and the performance we have been able to achieve when the image acquisition system is combined with a standard iris recognition algorithm. The Iris on the Move (IOM) system is the first system to enable capture of iris images of sufficient quality for iris recognition while the subject is moving at a normal walking pace through a minimally confining portal