Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk assessment based access control with text and behavior analysis for document management

In computerized systems, documents with sensitive information are generated, stored and accessed every day in large volumes. These documents are classified and disseminated only to appropriate personnel. Unintentional disclosure of sensitive information should be ultimately avoided. How to effectively provide access control of document disclosure is a key for secure business, government and military operations. Traditional access control is based on a simple rule, i.e., to test whether a user account that requests the access to information has been granted such an access. However, this design has been shown to provide no security guarantee due to emerging incidents including insider threats, account hacking, and human classification errors. In this paper, we propose a new access control mechanism based on a flexible decision design, which will not simply guarantee access to a document when a user account has been granted such an access, but comprehensively use text analysis and behavior analysis in a complementary way to quantify the risk of information disclosure and grant the access only if the risk is assessed low. Our evaluation based on notional documents demonstrates the effectiveness of this new access control design against erroneous document classification and malicious user behavior. The proposed access control mechanism shows potential to enhance the overall security in today's access control systems for document management.
Dose-Dependent Association between UGT1A1*28 Genotype and Irinotecan-Induced Neutropenia: Low Doses Also Increase Risk

Purpose: A previous meta-analysis showed that the association between the UGT1A1*28 genotype and irinotecan-induced neutropenia was influenced by irinotecan dose and that the risk of neutropenia was similar at low doses for patients with all genotypes. However, the sample sizes for the low- and high-dose groups were small. Because additional studies have now been reported, an updated and refined meta-analysis is needed. Experimental Design: Meta-analyses were done to assess the relationship between UGT1A1*28 and neutropenia. The association between UGT1A1*28 and the relative extent of glucuronidation (REG) of SN-38 was also examined. The studies included were stratified into different dose groups. Results: A total of 1,998 patients were included for the analysis of neutropenia and 581 patients were included for REG. The risk of neutropenia at low doses was significantly higher among patients with a UGT1A1*28/*28 genotype than among those carrying the UGT1A1*1 allele(s) [relative risk (RR), 2.43; 95% confidence interval, 1.34-4.39; P = 0.003]. In addition, the RR of neutropenia at low doses was comparable with that at medium doses (2.43 versus 2.00). The RR of neutropenia at high doses was significantly higher than that at low and medium doses (7.22 versus 2.04). We found the weighted mean difference of REG (UGT1A1*1/*1 or UGT1A1*1/*28 versus UGT1A1*28/*28) increased with increasing dose of irinotecan. Conclusions: In conclusion, the UGT1A1*28/*28 genotype was associated with an increased risk of neutropenia not only at medium or high doses of irinotecan but also at low doses. The dose-dependent manner of SN-38 glucuronidation explained why the association between UGT1A1*28 and neutropenia was dose dependent. Clin Cancer Res; 16(15); 3832–42. ©2010 AACR.
Properties of a genetically reconstructed Prevotella ruminicola endoglucanase

A pUC19-derived plasmid was constructed that coded for a hybrid cellulase with the Thermomonospora fusca E2 cellulose-binding domain at its C terminus joined to the Prevotella ruminicola 40.5-kDa carboxymethyl cellulase (CMCase). The hybrid enzyme was purified and characterized enzymatically. It bound tightly to cellulose, and its specific activities on carboxymethyl cellulose, amorphous cellulose, and ball-milled cellulose were 1.5, 10, and 8 times that of the 40.5-kDa CMCase, respectively. Furthermore, the modified enzyme gave synergism with an exocellulase in the degradation of filter paper, while the 40.5-kDa CMCase did not.
Kurtosis, Renyi's Entropy and Independent Component Scalp Maps for the Automatic Artifact Rejection from EEG data

The goal of this work is to improve the efficiency and the reliability of the automatic artifact rejection, in particular from the Electroencephalographic (EEG) recordings. Artifact rejection is a key topic in signal processing. The artifacts are unwelcome signals that may occur during the signal acquisition and that may alter the analysis of the signals themselves. A technique for the automatic artifact rejection, based on the Independent Component Analysis (ICA) for the artifact extraction and on some high order statistics such as kurtosis and Shannon's entropy, was proposed some years ago in literature. In this paper we enhance this technique introducing the Renyi's entropy. The performance of our method was tested exploiting the Independent Component scalp maps and it was compared to the performance of the method in literature and it showed to outperform it. Keywords—Artifact, EEG, Renyi's entropy, Independent Component Analysis, kurtosis.
Clinical Chaos a Therapist's Guide to Nonlinear Dynamics and Therapeutic Change

Part I. An Introduction to Chaotic Systems. An Introduction to Chaos and Nonlinear Dynamics. Chaos and the Clinician. Part II. Chaos Theory and Clinical Orientations. Chaos Theory and Psychoanalysis. Chaos, Energy and Analytical Psychology. Cognitive Theory and Chaotic Processes. Systems, Theory, and Chaos Dynamics. Humanistic/Existential Perspectives and Chaos. Part III. Chaos Theory Application in Clinical Research and Practice. Dynamics of Substance Abuse: Implications of Chaos Theory for Clinical Research Implications of Chaos Theory for the Prevention and Treatment of Child Abuse. Dynamical Family Systems and Therapeutic Intervention. The Lost World of Psychopharmacology: A Return to Psychology's Jurassic Park. Creative Consciousness Process. Chaos, Complexity and Psychophysiology. Organizational Chaos. Part IV. Special Clinical Issues and Chaos Theory. Chaos and Cross-Culturalism. Non-linear Research Methodology. Chaos Theory and the Future of Psychotherapy Conclusions and Questions. Author Index and Subject Index
Physical layer security over Dual-Hop Asymmetric Fading Channels

In this paper, the line-of sight and non line-of sight characteristics of a received signal are exploited to analyze the secrecy performance of the decode-and-forward scheme over Dual-Hop Asymmetric Fading Channels. In this scheme, the first hop from a source to relays is subject to Rician fading, whereas the second hop from relays to a destination experience Nakagami-m fading. The best relay is chosen to help the source to transmit data signals to the destination based on achievable secrecy rate (ASR) following criterions as: best source-relay, best relay-destination and best end-to-end. The secrecy performance is exactly evaluated by the secrecy outage probability of the ASR. The Monte-Carlo results are presented to verify the theoretical analysis.
d-Tubocurarine Effects on Nerve-terminal and Neuromuscular Conduction

Using the frog sartorius muscle preparation, d-tubocurarine in concentrations between 10-12 and 10-12 g/l was found to increase miniature endplate potential (MEPP) frequency with no effect on MEPP amplitude. The agent at 10-10 g/l was able to increase the twitch height of the submaximally stimulated muscle preparation. Between 2.5 X 10-5 and 5 X 10-7 g/l, it decreased MEPP frequency and twitch height of indirectly-stimulated muscle preparations to 10 per cent of control. At the latter doses, MEPP amplitude and sensitivity to iontophoretically-applied acetylcholine were reduced by only about 40 per cent. At this degree of depression of endplate sensitivity, the ability of postjunctional membrane to generate an action potential is unaltered. It is believed that the primary blocking effect of d-tubocurarine is presynaptic.
Multiscale dynamics in communities of phase oscillators.

We investigate the dynamics of systems of many coupled phase oscillators with heterogeneous frequencies. We suppose that the oscillators occur in M groups. Each oscillator is connected to other oscillators in its group with "attractive" coupling, such that the coupling promotes synchronization within the group. The coupling between oscillators in different groups is "repulsive," i.e., their oscillation phases repel. To address this problem, we reduce the governing equations to a lower-dimensional form via the ansatz of Ott and Antonsen, Chaos 18, 037113 (2008). We first consider the symmetric case where all group parameters are the same, and the attractive and repulsive coupling are also the same for each of the M groups. We find a manifold L of neutrally stable equilibria, and we show that all other equilibria are unstable. For M ≥ 3, L has dimension M - 2, and for M = 2, it has dimension 1. To address the general asymmetric case, we then introduce small deviations from symmetry in the group and coupling parameters. Doing a slow/fast timescale analysis, we obtain slow time evolution equations for the motion of the M groups on the manifold L. We use these equations to study the dynamics of the groups and compare the results with numerical simulations.
Single-walled carbon nanotubes as specific targeting and Raman spectroscopic agents for detection and discrimination of single human breast cancer cells

Abstract. Raman active nano-complex agents based on single-walled carbon nanotubes (SWCNTs) are prepared and used for the swift and specific detection of breast cancer cells. SWCNTs are functionalized to bond covalently with the anti-epithelial cell adhesion molecule (anti-EpCAM) antibody, which is specific to the highly expressed EpCAM antigen on the surface of breast cancer cells (MCF-7), but not on normal cells. The Raman nano-complexes demonstrate excellent ability to detect in vitro single breast cancer cells (MCF-7) and discriminate between them and normal fibroblast cells during the first 30 min of the targeting process. Raman linearity scanning is collected from a monolayer cell mixture, including both cancer cells and normal cells incubated with anti-EpCAM-SWCNTs, using a 633-nm laser excitation. The results shows that the Raman signal collected from targeted MCF-7 cells is extremely high, whereas there is little signal from the normal cells.
Efficient Bayesian local model learning for control

Model-based control is essential for compliant control and force control in many modern complex robots, like humanoid or disaster robots. Due to many unknown and hard to model nonlinearities, analytical models of such robots are often only very rough approximations. However, modern optimization controllers frequently depend on reasonably accurate models, and degrade greatly in robustness and performance if model errors are too large. For a long time, machine learning has been expected to provide automatic empirical model synthesis, yet so far, research has only generated feasibility studies but no learning algorithms that run reliably on complex robots. In this paper, we combine two promising worlds of regression techniques to generate a more powerful regression learning system. On the one hand, locally weighted regression techniques are computationally efficient, but hard to tune due to a variety of data dependent meta-parameters. On the other hand, Bayesian regression has rather automatic and robust methods to set learning parameters, but becomes quickly computationally infeasible for big and high-dimensional data sets. By reducing the complexity of Bayesian regression in the spirit of local model learning through variational approximations, we arrive at a novel algorithm that is computationally efficient and easy to initialize for robust learning. Evaluations on several datasets demonstrate very good learning performance and the potential for a general regression learning tool for robotics.
Objective ML: a simple object-oriented extension of ML

Objective ML is a small practical extension of ML with objects and toplevel classes. It is fully compatible with ML; its type system is based on ML polymorphism, record types with polymorphic access, and a better treatment of type abbreviations. Objective ML allows for most features of object-oriented languages including multiple inheritance, methods returning self and binary methods as well as parametric classes. This demonstrates that objects can be added to strongly typed languages based on ML polymorphism.
Dual Optimization of Conditional Probability Models December 21 , 2006

We describe a dual formulation for conditional probability models operating in joint features spaces. In the dual we derive a very fast training scheme akin to John Platt’s ”sequential minimal optimization”, an efficient standard method for training support vector machines. The algorithm is closely related to perceptron learning and extends the applicability of probabilistic discriminative models to online settings and to large scale learning problems.
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries

In this paper we introduce POLAR, a probabilistic object-oriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annotations and their relationships in a digital library repository can be modelled considering certain characteristics of annotations and annotated objects. Insights about these characteristics are gained by an analysis of the annotation models behind existing systems and a discussion of an object-oriented, logical view on relevant objects in a digital library. Retrieval methods applied in a digital library should take annotations into account to satisfy users' information needs. POLAR thus supports a wide range of flexible and powerful annotation-based fact and content queries by making use of knowledge and relevance augmentation. An evaluation of our approach on email discussions shows performance improvements when annotation characteristics are considered
Restorative justice and the politics of decolonization

This chapter explores the intersections between decolonisation and restorative justice. Themes examined include the links between globalisation and restorative justice; the notion of 'community'; decolonisation and gender; the selective appropriation ofcertain aspects of Indigenous forms of governance in alternative justice mechanisms; and claims about the links between Indigenous social control and the principles of restorative justice. The chapter argues that the relationship between restorative justice and decolonisation is fundamental to whether we see restorative justice as a critical force for deconstructing existing justice processes, and that one of the great dangers is that restorative justice may simply dissolve into a process of maintainingneocolonial relations.
New Findings on Interactions among the Yeast Oligosaccharyl Transferase Subunits Using a Chemical Cross-linker*

At present, there is very limited knowledge about the structural organization of the yeast oligosaccharyl transferase (OT) complex and the function of each of its nine subunits. Because of the failure of the yeast two-hybrid system to reveal interactions between luminal domains of these subunits, we utilized a membrane permeable, thiocleavable cross-linking reagent dithiobis-succinimidyl propionate to biochemically study the interactions of various OT subunits. Four essential gene products, Ost1p, Wbp1p, Swp1p, and Stt3p were shown to be cross-linked to each other in a pairwise fashion. In addition, Ost1p was found to be cross-linked to all other eight OT subunits individually. This led us to propose that Ost1p may reside in the core of the OT complex and could play an important role in its assembly. Ost4p and Ost5p were found to only interact with specific components of the OT complex and may function as an additional anchor for optimal stability of Stt3p and Ost1p in the membrane, respectively. Interestingly, Ost3p and Ost6p subunits exhibited a surprisingly identical pattern of cross-linking to other subunits, which is consistent with their proposed redundant function. Based on these findings, we analyzed the distribution of the lysine residues that are likely to be involved in cross-linking of OT subunits and propose that the OT subunits interact with each other through either their transmembrane domains and/or a region proximal to it, rather than through their luminal or cytoplasmic domains.
On complex line arrangements and their boundary manifolds

Abstract Let ${\mathcal A}$ be a line arrangement in the complex projective plane $\mathds{C}\mathds{P}^2$ . We define and describe the inclusion map of the boundary manifold, the boundary of a closed regular neighbourhood of ${\mathcal A}$ , in the exterior of the arrangement. We obtain two explicit descriptions of the map induced on the fundamental groups. These computations provide a new minimal presentation of the fundamental group of the complement.
Treatment of Supraventricular Tachycardias by Rapid Atrial Stimulation

In 10 patients, 24 episodes of supraventricular tachycardia were treated by rapid electrical stimulation of the right atrium. One episode of sinus tachycardia, eight episodes of atrial tachycardia, two episodes of atrial flutter, and 13 episodes of A-V junctional tachycardia occurred. In each case the diagnosis of the arrhythmia was documented by obtaining unipolar and bipolar intra-atrial electrograms.In three cases of supraventricular tachycardia the ventricular rate was slowed as a result of an increased atrial rate. The increased atrial rate caused an increase of the functional refractory period of the A-V junction, and thus, fewer atrial impulses were transmitted to the ventricles.In seven cases, 21 episodes of supraventricular tachycardia were terminated by rapid atrial stimulation. In six of these cases the tachycardia was converted to normal sinus rhythm either during or shortly after atrial stimulation. In one case, 12 episodes of A-V junctional tachycardia were converted to rhythms varying between normal sinus rhythm and a slow A-V junctional rhythm. In this case, after termination of the last episode of A-V junctional tachycardia, the rhythm was stabilized by atrial pacing.
Ca 2 + Dynamics in the Secretory Vesicles of Neurosecretory PC 12 and INS 1 Cells

We have investigated the dynamics of the free [Ca] inside the secretory granules of neurosecretory PC12 and INS1 cells using a low-Ca-affinity aequorin chimera fused to synaptobrevin-2. The steady-state secretory granule [Ca] ([Ca]SG] was around 20–40 lM in both cell types, about half the values previously found in chromaffin cells. Inhibition of SERCA-type Ca pumps with thapsigargin largely blocked Ca uptake by the granules in Ca-depleted permeabilized cells, and the same effect was obtained when the perfusion medium lacked ATP. Consistently, the SERCA-type Ca pump inhibitor benzohydroquinone induced a rapid release of Ca from the granules both in intact and permeabilized cells, suggesting that the continuous activity of SERCA-type Ca pumps is essential to maintain the steady-state [Ca]SG. Both inositol 1,4, 5-trisphosphate (InsP3) and caffeine produced a rapid Ca 2? release from the granules, suggesting the presence of InsP3 and ryanodine receptors in the granules. The response to high-K depolarization was different in both cell types, a decrease in [Ca]SG in PC12 cells and an increase in [Ca]SG in INS1 cells. The difference may rely on the heterogeneous response of different vesicle populations in each cell type. Finally, increasing the glucose concentration triggered a decrease in [Ca]SG in INS1 cells. In conclusion, our data show that the secretory granules of PC12 and INS1 cells take up Ca through SERCA-type Ca pumps and can release it through InsP3 and ryanodine receptors, supporting the hypothesis that secretory granule Ca may be released during cell stimulation and contribute to secretion.
Resource-Aware Deployment and Configuration of QoS-enabled Middleware

Ad hoc deployment and configuration (D&C) of faulttolerance mechanisms (e.g., replica-host mapping and failover ordering of replicas) can lead to unacceptable response times, overloads, and low-availability for soft rea ltime applications. This paper describes how our quality-of service (QoS)-enabled middleware called DeCoRAM (Deployment and Configuration Reasoning via Analysis and Modeling) provides a holistic and automated solution to fault-tolerance and real-time D&C through two novel capabilities. First, DeCoRAM provides a deployment-time allocation and scheduling algorithm that maps passively replicated application components to appropriate hosts subject to their soft real-time requirements and determines th e failover order of application replicas based on their worst case state synchronization delays. Second, DeCoRAM’s model-driven D&C engine deploys and configures replicas for each application and provides resource-aware failover and delay-bounded state synchronization between backup and primary replicas. Empirical results on a Linux cluster demonstrate that DeCoRAM can automatically configure fault-tolerance middleware capabilities at deployment ti me and deliver desired soft real-time performance for clients operating in the presence of failures at runtime.
Cell-type-specific transcriptomics in chimeric models using transcriptome-based masks

Regulatory networks involving different cell types control inflammation, morphogenesis and tissue homeostasis. Cell-type-specific transcriptional profiling offers a powerful tool for analyzing such cross-talk but is often hampered by mingling of cells within a tissue. Here, we present a novel method that performs cell-type-specific expression measurements without prior cell separation. This involves inter-species transplantation or chimeric co-culture models among which the human mouse system is frequently used. Here, we exploit the sufficiently divergent transcriptomes of human and mouse in conjunction with high-density oligonucleotide arrays. This required a masking procedure based on transcriptome databases and exhaustive fuzzy mapping of oligonucleotide probes onto these data. The approach was tested in a human–mouse experiment, demonstrating that we can efficiently measure species-specific transcriptional profiles in chimeric RNA samples without physically separating cells. Our results stress the importance of transcriptome databases with accurate 3′ mRNA termination for computational prediction of accurate probe masks. We find that most human and mouse 3′-untranslated region contain unique stretches to allow for an effective control of cross-hybridization between the two species. This approach can be applied to xenograft models studying tumor–host interactions, morphogenesis or immune responses.