Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient fault emulation based on post-injection fault effect analysis (PIFEA)

Over the last years the complexity of SoC's has increased enormously. This increase leads to a high test effort against faults. Therefore, methods have been developed to speed-up fault testing to cope with the increasing number of possible faults. One method is to emulate fault attacks. To cope with the large amount of test data a method to check automatically if a fault injection was successful is required. In this paper a novel method is presented how automatically, on a fault emulation platform, can be proven if a fault forces the system to unintended behavior. The PIFEA hardware block is designed to check if the system execution flow is manipulated or if the system detects the fault and switches in a secure mode.
Steroid hormone receptors: an update.

Steroid hormones (SHs) are lipophilic molecules derived from cholesterol and synthesized in the adrenal cortex (glucocorticoids, mineralocorticoids, and adrenal androgens), the testes (testicular androgens, oestrogen), and the ovary and placenta (oestrogens and progestagens or progestins). SHs reach their target cells via the blood, where they are bound to carrier proteins, and because of their lipophilic nature pass the cell membrane by simple diffusion. Within the target cells SHs bind to steroid hormone receptors (SHRs), the key mediators of SH action, which are complexed to chaperones, e.g. heat shock protein 90 (Hsp90), that help other proteins to fold and prevent aggregation. SHRs are intracellular transcription factors that can be activated, among other possibilities, by the specific and high affinity binding of ligand to exert positive or negative effects on the expression of target genes. Binding of agonistic or antagonistic ligands leads to different allosteric changes of SHRs making them competent to exert positive or negative effects on the expression of target genes by different mechanisms. (i) After dissociation of chaperones the liganded SHR-complexes can bind to chromatin organized DNA sequences in the vicinity of target genes, termed hormone response elements (HREs). The HRE-recruited hormone-receptor-complexes are then able to initiate chromatin remodelling and to relay activating or repressing signals to the target genes transcription machinery; (ii) through protein-protein interactions with other sequence-specific transcription factors, SHRs can also regulate the activity of many genes that are switched on, for instance, during stress or an inflammatory response; (iii) the SH response can also be integrated in the intracellular signalling network via cross-talk of SHRs with signal transduction pathways that transmit extracellular signals via membrane receptors and activation of protein kinase cascades to nuclear transcription factors that activate various target genes. By all these different mechanisms SHRs modulate numerous and specific responses in a large variety of cells, whereby their particular effect depends on the physiological, cellular and genetic context.
A Study on the Knowledge Diffusion of Communities of Practice Based on the Weighted Small-world Network

Communities of practices (Cops) can improve organizational performance by effectively promoting knowledge diffusion, and recently they were receiving increasing attention from organizations in abroad. The aim of our study was to further explore how to cultivate and support Communities of practice. According to some literatures, we first studied what is the most important influencing factor of knowledge diffusion in the communities of practice. On the basis of the weighted small-world network, we made a study on the knowledge diffusion network of communities of practice, and proposed to use characteristic relationship length and clustering coefficient of community members to token knowledge diffusion frequency and centralization respectively, and elaborated the relationship between them and knowledge diffusion of community. We found that, a relatively small characteristic relationship length and a relatively big clustering coefficient can make knowledge diffusion frequency and centralization maintain in a moderately big level in the communities of practice, which can promote effectively knowledge diffusion and then increase overall knowledge level of community, and provided some useful theoretical guidance for organizations to cultivate and support communities of practice.
A Multi-channel Symbol Timing Recovery Architecture for 10GBASE-T System

A traditional symbol timing recovery architecture that used in 100BASE-T and 1000BASE-T is multi-phase selection based phase-locked loop (MPS-PLL). In 10GBASE-T system, the echo (ECHO) interference suppression requirement is much higher and hence the ECHO canceller is more sensitive to the timing jitter as well than that of 1000BASE-T system. Hence, the MPS-PLL architecture is difficult to implement in 10GBASE-T system. In this paper, we propose a hybrid symbol timing recovery (STR) architecture, which comprises a phase-locked loop (PLL) block accompanies three delay-locked loop (DLL) blocks as a four-channel STR system, and the corresponding finite state machine (FSM) control block that are suitable for 100BASE-T system. Finally, the complete simulation results, which include automatic gain control loop adaption, frequency offset estimation and correction, PLL phase and frequency recovery, DLL phase recovery, timing tracking, decision feedback equalizer training, echo canceller training and near end crosstalk canceller training in the training mode, show that the proposed four-channel STR architecture is practical.
A framework for privacy-preserving cluster analysis

Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishing. Though substantial research has been conducted on k-anonymization and its extensions in recent years, few of them consider releasing data for a specific purpose of data analysis. This paper presents a practical data publishing framework for determining a generalized version of data that preserves both individual privacy and information usefulness for cluster analysis. Experiments on real-life data suggest that, by focusing on preserving cluster structure in the generalization process, the cluster quality is significantly better than the cluster quality on the generalized data without such focus. The major challenge of generalizing data for cluster analysis is the lack of class labels that could be used to guide the generalization process. Our approach converts the problem into the counterpart problem for classification analysis where class labels encode the cluster structure in the data, and presents a framework to evaluate the cluster quality on the generalized data.
Variability Over Time-Since- Diagnosis in the Protective Effect of Psychological Resilience Against Depression in Australian Prostate Cancer Patients

Although there is some evidence that psychological resilience may “buffer” against depression following major stressors, no data have been reported on the nature and variability of this buffering effect among prostate cancer patients during the 5 years following their initial diagnosis. Patients from two sites in Australia and who had received their initial diagnosis within 5 years (n = 255) were surveyed, and the results indicated that there was a significant inverse relationship between resilience and depression in the overall data, but that was mostly accounted for by a single factor of the resilience scale (“Confidence to cope with change”). Variability in that buffering effect was noted over time since diagnosis, with peaks during the first 6 months, at 24 and 60 months. These findings support the argument to develop focused psychiatric interventions at various periods following a diagnosis of prostate cancer.
The Complex of Apomyoglobin with the Fluorescent Dye Coumarin 153¶

Abstract Understanding a protein's dielectric response requires both a theoretical model and a well-defined experimental system. The former has already been proposed by Song (J. Chem. Phys. 116, 9359 [2002]). We suggest that the latter is provided by the complex of coumarin 153 (C153) with apomyoglobin (ApoMb). C153 has been exhaustively studied and has proven to be an excellent probe of the solvation dynamics of polar solvents. Myoglobin is one of the most thoroughly studied proteins. Myoglobins from a wide range of species have been subject to X-ray structural analysis and site-directed mutagenesis. Here, we demonstrate the existence of a robust C153–apomyglobin system by means of molecular dynamics simulations, equilibrium binding studies using a Job's plot and capillary electrophoresis, circular dichroism and time-resolved fluorescence. The reorganization energy of C153 bound to ApoMb is compared with that of C153 in bulk solvent using the method of Jordanides et al. (J. Phys. Chem. B 103, 7995 [1999]).
AgreementMakerLight results for OAEI 2013

AgreementMakerLight (AML) is an automated ontology matching framework based on element-level matching and the use of external resources as background knowledge. This paper describes the configuration of AML for the OAEI 2014 competition and discusses its results. Our goal this year was broadening the scope of AML by delving into aspects such as translation and structural matching, while reinforcing the key aspects behind its success last year (i.e., element-level matching, the use of background knowledge, and alignment repair). AML's participation in the OAEI 2014 was very successful, as it obtained the highest F-measure in 6 of the 8 ontology matching tracks.
Comparative Fourier transform infrared studies of the secondary structure and the CO heme ligand environment in cytochrome P-450cam and cytochrome P-420cam.

For the first time, Fourier transform infrared spectroscopy has been applied to cytochrome P-450 to analyze the protein secondary structure. From Fourier self-deconvolution and fitting the infrared spectra in the amide I' region (1600-1700 cm-1), we estimate 44% alpha-helix, 31% beta-sheet, and 18% turns for substrate-free cytochrome P-450cam. In the presence of camphor, 54% alpha-helix and 310-helix, 21% beta-sheet, and 21% turns are obtained which agree with the crystallographic data of 53% alpha-helix, 19% beta-sheet, and 16% turns [Poulos, T. L. , Finzel, B. C. , & Howard, A. J. (1987) J. Mol. Biol. 195, 687-700]. Cytochrome P-420cam is produced from substrate-free cytochrome P-450cam in two ways: (i) by temperature elevation up to 60 degrees C and (ii) by exposure to KSCN up to 1.5 M. The secondary structure composition is determined for each temperature and KSCN concentration and compared with the changes observed in the iron ligand CO stretch vibration bands appearing between 1900 and 2000 cm-1. Thermally induced cytochrome P-420 has an alpha-helix content of 19%, a beta-sheet content of 53%, 14% turns, and 5% antiparallel beta-sheets from intermolecular hydrogen bonds within protein aggregates. The formation of cytochrome P-420 as a function of the KSCN concentration indicates two types of cytochrome P-420. Up to 1 M KSCN, the induced cytochrome P-420 displays only little modification of the secondary structure, whereas at 1.5 M KSCN, larger changes are observed, resulting in 85% cytochrome P-420 without protein precipitation and containing 30% alpha-helix, 48% beta-sheet, and 17% turns. Infrared spectra in the iron ligand CO stretch region show several subconformers for cytochrome P-420. During the cytochrome P-420 formation, the CO stretch modes are shifted to higher frequencies by 3-11 cm-1, with a main feature at about 1964 cm-1, compared to those of substrate-free cytochrome P-450cam-CO.
Learning and generalization of motor skills by learning from demonstration

We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such that it reproduces this movement. Based on this representation, we build a library of movements by labeling each recorded movement according to task and context (e.g., grasping, placing, and releasing). Our differential equation is formulated such that generalization can be achieved simply by adapting a start and a goal parameter in the equation to the desired position values of a movement. For object manipulation, we present how our framework extends to the control of gripper orientation and finger position. The feasibility of our approach is demonstrated in simulation as well as on the Sarcos dextrous robot arm. The robot learned a pick-and-place operation and a water-serving task and could generalize these tasks to novel situations.
A multicast tree aggregation algorithm in wavelength-routed WDM networks

Wavelength division multiplexing (WDM) has been considered a promising transmission technology in optical communication networks. With the continuous advance in optical technology, WDM network will play an important role in wide area backbone networks. Optical wavelength switching, compared with optical packet switching, is a more mature and more cost-effective choice for optical switching technologies. Besides, the technology of time division multiplexing in optical communication networks has been working smoothly for a long time. In the proposed research, the problem of multicast groups aggregation and multicast routing and wavelength assignment in wavelength-routed WDM network is studied. The optical cross connect switches in the problem are assumed to have limited optical multicast/splitting and TDM functionalities. Given the physical network topology and capacity, the objective is to maximize the total revenue by means of utmost merging multicast groups into larger macro-groups. The groups in the same macro-group will share a multicast tree to conduct data transmission. The problem is formulated as an optimization problem, where the objective function is to maximize the total revenue subject to capacity constraints of components in the optical network, wavelength continuity constraints, and tree topology constraints. The decision variables in the formulations include the merging results between groups, multicast tree routing assignment and wavelength assignment. The basic approach to the algorithm development for this model is Lagrangean relaxation in conjunction with a number of optimization techniques. In computational experiments, the proposed algorithms are evaluated on different network topologies and perform efficiently and effectively according to the experiment results.
HYDRA

This paper describes the design philosophy of HYDRA—the kernel of an operating system for C.mmp, the Carnegie-Mellon Multi-Mini-Processor. This philosophy is realized through the introduction of a generalized notion of “resource,” both physical and virtual, called an “object. ” Mechanisms are presented for dealing with objects, including the creation of new types, specification of new operations applicable to a given type, sharing, and protection of any reference to a given object against improper application of any of the operations defined with respect to that type of object. The mechanisms provide a coherent basis for extension of the system in two directions: the introduction of new facilities, and the creation of highly secure systems.
An advance to cloning detection in digital forensics investigations

Digital images constitute a major part of data in many digital devices and become main information carriers in the digital era. In cyber-crimes the digital images are presented as court evidences. The authenticity of the digital images submitted as court evidence is a big question mark; since these pictures can been altered or modified. In this paper, an approach for Evidence Examination and Analysis in digital device forensics investigation platform is proposed. Here a method for cloning or copy-move forgery detection to be used in device forensic investigations is given. The suspected file obtained as court evidence is analyzed. Byte Frequency Analysis algorithm is used to validate the suspected file in PNG format. Fast Copy Move Forgery Detection algorithm is used for cloning detection. Finally, the detection result provides information that the digital image is altered or not.
Multiscale Visual Analysis of Lexical Networks

A lexical network is a very useful resource for natural language processing systems. However, building high quality lexical networks is a complex task. "Jeux de mots'' is a web game which aims at building a lexical network for the French language. At the time of this paper's writing, "jeux de mots'' contains 164 480 lexical terms and 397 362 associations. Both lexical terms and associations are weighted with a metric that determines the importance of a given term or association. Associations between lexical terms are typed. The network grows as new games are played. The analysis of such a lexical network is challenging.The aim of our work is to propose a multi-scale interactive visualization of the network to facilitate its analysis. Our work builds on previous work in multi-scale visualization of graphs. Our main contribution in this domain includes (1) the automatic computation of compound graphs, (2) the proximity measure used to compute compound nodes, and (3) the computation of the containment relation used to exhibit the dense relation between one important node and a set of related nodes.
Performance and Timing Yield Enhancement using Highway-on-Chip Planning

Interconnect mis-prediction is a dominant problem in nanoscale design that may weaken the quality of physical design algorithms or may even increase the design divergence possibility. In this paper, a new interconnect planning technique is presented based highway-on-chip approach. In this methodology, some highways are planned on chip and the location and amount of resource in highways are gradually determined during the placement process. Experimental results show that by using this technique, performance of the attempted benchmarks is improved by 13.66% on average and timing yield of the attempted circuits is improved by 10.02% on average. It is also shown that the results of this technique become better when the size of circuits grows.
The effects of scapular stabilization based exercise therapy on pain, posture, flexibility and shoulder mobility in patients with shoulder impingement syndrome: a controlled randomized clinical trial

Background: Dysfunction in the kinetic chain caused by poor scapula stabilization can contribute to shoulder injuries and Shoulder Impingement Syndrome (SIS). The purpose of this study was to compare the effectiveness of two treatment approaches scapular stabilization based exercise therapy and physical therapy in patients with SIS. Methods: The study is a randomized clinical trial in which 68 patients with SIS were randomly assigned in two groups of exercise therapy (ET) and physical therapy (PT) and received 18 sessions of treatment. Pain, shoulders' range of abduction and external rotation, shoulder protraction, scapular rotation and symmetry as well as postural assessment and Pectoralis minor length were evaluated pre and post intervention. The paired-sample t test and the independent sample t test were applied respectively to determine the differences in each group and between two groups. Results: Our findings indicated significant differences in abduction and external rotation range, improvement of forward shoulder translation and increase in the flexibility of the involved shoulder between the two groups (respectively ; p=0.024, p=0.001, p<0/0001, p<0/0001). No significant difference was detected in pain reduction between the groups (p=0.576). Protraction of the shoulder (p<0.0001), forward head posture (p<0/0001) and mid thoracic curvature (p<0.0001) revealed a significant improvement in the ET group. Apparent changes occurred in scapular rotation and symmetry in both groups but no significant differences were observed between the two groups (respectively; p=0.183, p=0.578). Conclusion: The scapular stabilization based exercise intervention was successful in increasing shoulder range, decreasing forward head and shoulder postures and Pectoralis minor flexibility.
The Proteus Paradox: How Online Games and Virtual Worlds Change Us—And How They Don't

Proteus, the mythical sea god who could alter his appearance at will, embodies one of the promises of online games: the ability to reinvent oneself. Yet inhabitants of virtual worlds rarely achieve this liberty, game researcher Nick Yee contends. Though online games evokefreedom and escapism, Yee shows that virtual spaces perpetuate social norms and stereotypes from the offline world, transform play into labor, and inspire racial scapegoating and superstitious thinking. And the change that does occur is often out of our control and effected by unparalleledbut rarely recognizedtools for controlling what players think and how they behave. Using player surveys, psychological experiments, and in-game data, Yee breaks down misconceptions about who plays fantasy games and the extent to which the online and offline worlds operate separately. With a wealth of entertaining and provocative examples, he explains what virtual worlds are about and why they matter, not only for entertainment but also for business and education. He uses gaming as a lens through which to examine the pressing question of what it means to be human in a digital world. His thought-provoking book is an invitation to think more deeply about virtual worlds and what they reveal to us about ourselves.
Software or wetware?: discovering when and why people use digital prosthetic memory

Our lives are full of memorable and important moments, as well as important items of information. The last few years have seen the proliferation of digital devices intended to support prosthetic memory (PM), to help users recall experiences, conversations and retrieve personal information. We nevertheless have little systematic understanding of when and why people might use such devices, in preference to their own organic memory (OM). Although OM is fallible, it may be more efficient than accessing information from a complex PM device. We report a controlled lab study which investigates when and why people use PM and OM. We found that PM use depended on users' evaluation of the quality of their OM, as well as PM device properties. In particular, we found that users trade-off Accuracy and Efficiency, preferring rapid access to potentially inaccurate information over laborious access to accurate information. We discuss the implications of these results for future PM design and theory. Rather than replacing OM, future PM designs need to focus on allowing OM and PM to work in synergy.
Self-organizing complexity in psychological systems

Chapter 1 Introduction Chapter 2 Complexity theory as the parent science of psychoanalysis Chapter 3 A biological theory of brain function and its relevance to psychoanalysis Chapter 4 Neurodynamics, state, agency and psychological functioning Chapter 5 Emergence: When a difference in degree becomes a difference in kind Chapter 6 Emergence and psychological morphogenesis Chapter 7 The dynamics of development Chapter 8 The language of complexity theory