Miracle-dz/UniFAR-FTUs huggingface dataset:
Encrypted Set Intersection Protocol for Outsourced Datasets

Secure and efficient data storage and computation for an outsourced database is a primary concern for users, especially with the push for cloud computing that affords both compute and resource scalability. Among the diverse secure building blocks for secure analytical computations on outsourced databases, the encrypted set intersection operation extracts common sensitive information from datasets belonging to different users. In existing methods, each user holds their sensitive data and all users follow a secure protocol to perform set intersection. This approach is not applicable to the cloud platform, where data resides in the cloud platform in encrypted form and not at each user site. To address this limitation, in this paper, we design the Encrypted Set Intersection Protocol (ESIP) that allows server and users to perform collaborative operations to obtain the correct set intersection result without violating privacy of data contributed by each user at the server.
Thermal Behavior of Nickel Hydroxide Nanopowders

This work concerns synthesized nickel (hydr)oxide nanoparticles of Ni(OH)2 and Ni1-xCox(OH)2. To characterize these nanopowders and their thermal behavior, we mainly used in-situ high temp. X-ray diffraction. So, we highlight their thermal field of stability, their mineral phase transformation point, the thermodn. size effect and the Cobalt contribution on the nickel (hydr)oxide behavior.
Cooperation Scheme For Distributed Spectrum Sensing In Cognitive Radio Networks

Spectrum sensing is an essential phase in cognitive radio networks (CRNs). It enables secondary users (SUs) to access licensed spectrum, which is temporarily not occupied by the primary users (PUs). The widely used scheme of spectrum sensing is cooperative sensing, in which an SU shares its sensing results with other SUs to improve the overall sensing performance, while maximizing its throughput. For a single SU, if its sensing results are shared early, it would have more time for data transmission, which improves the throughput. However, when multiple SUs send their sensing results early, they are more likely to send out their sensing results simultaneously over the same signaling channel. Under these conditions, conflicts would likely happen. Then, both the sensing performance and throughput would be affected. Therefore, it is important to take when-toshare into account. We model the spectrum sensing as an evolutionary game. Different from previous works, the strategy set for each player in our game model contains not only whether to share its sensing results, but also when to share. The payoff for each player is defined based on the throughput, which considers the influence of the time spent both on sensing and sharing. We prove the existence of the evolutionarily stable strategy (ESS). In addition, we propose a practical algorithm for each secondary user to converge to the ESS. We conduct experiments on our testbed consisting of 4 USRP N200s. The experimental results verify for our model, including the convergence to the ESS.
The N-terminal region of hepatitis C virus-encoded NS5A is important for NS4A-dependent phosphorylation

We previously showed that two proteins, a 56-kDa protein (p56) and a 58-kDa protein (p58), are produced from the hepatitis C virus (HCV) nonstructural 5A region (NS5A) and that the production of p58 is enhanced by the presence of NS4A (T. Kaneko, Y. Tanji, S. Satoh, M. Hijikata, S. Asabe, K. Kimura, and K. Shimotohno, Biochem. Biophys. Res. Commun. 205:320-326, 1994). Both proteins have phosphorylated serine residues, some of which are located in the C-terminal region. In p58, phosphorylation of serine residues in the central region of HCV NS5A is important for production of p58 in an NS4A-dependent manner. To clarify the mechanism of NS5A phosphorylation, in particular phosphorylation in the central region, phosphorylation of deleted and mutated forms of NS5A was analyzed using a transient protein production system in cultured cells in the presence or absence of NS4A. Association of the NS5A region from amino acids 2135 to 2139 with NS4A was important for NS4A-dependent phosphorylation of NS5A.
The epidemiology of malpractice claims in primary care: a systematic review

Objectives The aim of this systematic review was to examine the epidemiology of malpractice claims in primary care. Design A computerised systematic literature search was conducted. Studies were included if they reported original data (≥10 cases) pertinent to malpractice claims, were based in primary care and were published in the English language. Data were synthesised using a narrative approach. Setting Primary care. Participants Malpractice claimants. Primary outcome Malpractice claim (defined as a written demand for compensation for medical injury). We recorded: medical misadventure cited in claims, missed/delayed diagnoses cited in claims, outcome of claims, prevalence of claims and compensation awarded to claimants. Results Of the 7152 articles retrieved by electronic search, a total of 34 studies met the inclusion criteria and were included in the narrative analysis. Twenty-eight studies presented data from medical indemnity malpractice claims databases and six studies presented survey data. Fifteen studies were based in the USA, nine in the UK, seven in Australia, one in Canada and two in France. The commonest medical misadventure resulting in claims was failure to or delay in diagnosis, which represented 26–63% of all claims across included studies. Common missed or delayed diagnoses included cancer and myocardial infarction in adults and meningitis in children. Medication error represented the second commonest domain representing 5.6–20% of all claims across included studies. The prevalence of malpractice claims in primary care varied across countries. In the USA and Australia when compared with other clinical disciplines, general practice ranked in the top five specialties accounting for the most claims, representing 7.6–20% of all claims. However, the majority of claims were successfully defended. Conclusions This review of malpractice claims in primary care highlights diagnosis and medication error as areas to be prioritised in developing educational strategies and risk management systems.
Endogenous viral antigen processing generates peptide-specific MHC class I cell-surface clusters

Sensitivity is essential in CD8+ T-cell killing of virus-infected cells and tumor cells. Although the affinity of the T-cell receptor (TCR) for antigen is relatively low, the avidity of T cell-antigen–presenting cell interactions is greatly enhanced by increasing the valence of the interaction. It is known that TCRs cluster into protein islands after engaging their cognate antigen (peptides bound to MHC molecules). Here, we show that mouse Kb class I molecules segregate into preformed, long-lasting (hours) clusters on the antigen-presenting cell surface based on their bound viral peptide. Peptide-specific Kb clustering occurs when source antigens are expressed by vaccinia or vesicular stomatitis virus, either as proteasome-liberated precursors or free intracellular peptides. By contrast, Kb–peptide complexes generated by incubating cells with synthetic peptides are extensively intermingled on the cell surface. Peptide-specific complex sorting is first detected in the Golgi complex, and compromised by removing the Kb cytoplasmic tail. Peptide-specific clustering is associated with increased T-cell sensitivity: on a per-complex basis, endogenous SIINFEKL activates T cells more efficiently than synthetic SIINFEKL, and wild-type Kb presents endogenous SIINFEKL more efficiently than tailless Kb. We propose that endogenous processing generates peptide-specific clusters of class I molecules to maximize the sensitivity and speed of T-cell immunosurveillance.
A robust corner detector based on curvature scale space and harris

The traditional corner detector based on Curvature Scale Space is sensitive to noise, and has its limitations in detecting certain X corners. On the basis of studying CSS corner detector, this paper proposes a refined corner detector, where we use both CSS and Harris corner detector to detect corners, and then use the clustering method to analyze the candidate corners and assign the clustering centers as the coordinates of detected corners. Experiment results show that the proposed method offers a robust and effective solution to eliminate falsely detected corners and redundant corners.
Ultrasonic viscoelasticity imaging of nonpalpable breast lesions

The prognosis of breast cancer patients improves with early and accurate diagnosis. A small clinical study was conducted with 21 women having a single nonpalpable breast lesion, each detected mammographically with later pathology confirmation. Elasticity images were acquired on each patient to test for the ability to differentiating malignant and benign lesions. The mechanical relaxation time T1 images showed a tissue-specific T1 contrast that is negative for all 11 malignant lesions and positive for all 10 benign lesions. Strain images were estimated using a regularized multi-scale optical flow (ROF) algorithm. Adjustments to the input parameters to the ROF and their subsequent effects on T1 estimation and computation time are shown to have a strong effect of diagnostic performance.
Leptin/Adiponectin Ratios Using Either Total Or High-Molecular-Weight Adiponectin as Biomarkers of Systemic Insulin Sensitivity in Normoglycemic Women

Plasma leptin/adiponectin ratio (LAR) is negatively associated with insulin sensitivity indexes. High-molecular-weight adiponectin (HMWA) was proposed as the most biologically active form of this insulin-sensitizing adipokine. There are no studies assessing the relative merits of leptin/HMWA ratio over LAR as a biomarker of systemic insulin sensitivity. A standard 2-hour oral glucose tolerance test (OGTT; 75 g of glucose) and a short minimal-model intravenous glucose tolerance test (IVGTT; 0.3 g/kg body weight) were performed in 58 Chilean normoglycemic women (age: 27 ± 6.3 years, BMI 23.6 ± 3.2 kg/m2). LAR was negatively associated with HOMA-S (r = −0.49; p < 0.0001), Matsuda-ISICOMP (r = −0.54; p < 0.0001), and the calculated sensitivity index (CSi) derived from IVGTT (r = −0.38; p = 0.007). In comparison to LAR, leptin/HMWA ratio did not increase neither the linear fit (r2) nor the magnitude of association with insulin sensitivity indexes (slope of multiple linear regression). The discriminatory capacity of both ratios to classify insulin-resistant versus insulin-sensitive subjects was similar for HOMA-S (p = 0.84), Matsuda-ISICOMP (p = 0.43), or CSi (p = 0.50). In conclusion, LAR showed consistent negative associations with different systemic insulin sensitivity indexes. The use of HMWA to generate leptin/HMWA ratio did not show any advantage over LAR as a biomarker of systemic insulin sensitivity in normoglycemic women.
Studies on TiO2/Reduced Graphene Oxide Composites as Cathode Materials for Magnesium-Ion Battery

The aim of this work is to introduce a high performance cathode for magnesium-ion batteries. TiO2/reduced graphene oxide (rGO) composites were mixed in ball mill. The samples are charac- terized using XRD and SEM. The spex-milled composites exhibit better electrochemical perfor- mance with higher reversible capacity and excellent cyclability. The excellent electrochemical performance of TiO2/rGO composites is due to their unique structures, which intimately combine the conductive graphene nanosheets network with TiO2 nanoparticles and possess the characteristic parallel channels running along the [010] orientation, which allow easy Mg2+ transport. It was found that layered TiO2 and rGO nanosheets in the composite interlace with each other to form novel sandwich-structured microspheres, which exhibit preferable electrochemical performance in rechargeable Mg batteries.
Dimension Reduction Methods for Collaborative Mobile Gossip Learning

Decentralized learning algorithms are very sensitive to the size of the raw data records due to the resulting large communication cost. This can, in the worst case, even make decentralized learning infeasible. Dimension reduction is a key technique to compress data and to obtain small models. In this paper, we propose a number of robust and efficient decentralized approaches to dimension reduction in the system model where each network node holds only one data record. These algorithms build on searching for good random projections. We present a thorough experimental comparison of the proposed algorithms and compare them with a variant of distributed singular value decomposition (SVD), a state-of-the-art algorithm for dimension reduction. We base our experiments on a trace of real mobile phone usage. We conclude that our method based on selecting good random projections is preferable and provides good quality results when the output is required on a very short timescale, within tens of minutes. We also present a hybrid method that combines the advantages of random projections and SVD. We demonstrate that the hybrid method offers good performance over all timescales.
Clustering Clauses for High-Level Relation Detection: An Information-theoretic Approach

Recently, there has been a rise of interest in unsupervised detection of highlevel semantic relations involving complex units, such as phrases and whole sentences. Typically such approaches are faced with two main obstacles: data sparseness and correctly generalizing from the examples. In this work, we describe the Clustered Clause representation, which utilizes information-based clustering and inter-sentence dependencies to create a simplified and generalized representation of the grammatical clause. We implement an algorithm which uses this representation to detect a predefined set of high-level relations, and demonstrate our model’s eectiveness in overcoming both the problems mentioned.
Wavelets in Statistics : DiscussionJonathan

We congratulate the three authors for their thought-provoking and original work. We thank Guy Nason for the invitation to discuss the papers presented in this stimulating session. Lee and McCoy propose new wavelet shrinkage function estimators. We discuss various wavelet shrinkage estimators, including those of Lee and McCoy, in the context of penalty functions. The paper by von Sachs concerns nonstationary processes and overcomplete systems. We make some comments concerning di erent types of overcomplete systems.
Characterization of Opr deficiency in mouse brain: Subtle defects in dorsomedial telencephalon and medioventral forebrain

Opr/Zic5 is a zinc‐finger gene belonging to, and unique in, the opa/Zic family. Its expression is found in the anterior epiblast and anterior neuroectoderm during gastrulation and early neurulation. Later, we found the expression characteristic in the dorsomedial parts of forebrain and midbrain. However, no defects were apparent in embryonic day 10.5 Opr null mutants, and subtle defects were later found in medial pallium and ventral structures of forebrain, suggesting the compensation of Opr deficiency by its cognate(s). Developmental Dynamics 232:1056–1061, 2005. © 2005 Wiley‐Liss, Inc.
Municative Layer: We Introduced the Notion of Communicative Schema to Model Domain-dependent 5. the Textual Component 4. the Rhetorical Component

intention-based communication heuristics and we argued for the need for making domain dependent information available throughout the planning process. 13 process, an explicit representation of domain dependent information. For example, consider the following text, taken from the GIST domain: Do you receive a widow's benefit? 2 no 2 yes enter your benefit number Here, \enter your beneet number" is a follow up instruction of having crossed the \yes" option. Usually, in our domain (pension forms), each request for information is put on a diierent (possible indented) line, apart from follow-up instructions which are always put aside the relevant check box. How can the automatic generator get the right text layout in a simple and eecient way? In principle we could use the RST structure, however there is no domain independent rhetorical relation that can express the relation between \yes" and \enter your beneet number". A sequence relation would be too generic, for our purposes. In our system we exploit the domain speciic information coded in the communication plan; the \enter your beneet number" instruction is included in a follow-up communication schema. This information is recorded in the communication plan and accessed from the module responsible for indentation to produce the expected layout. 6. CONCLUSION In the rst section of this paper we discussed the kind of knowledge resources needed for strategical text planning, argueing for a distinction between knowledge about how to communicate in a speciic domain and general communication knowledge. In the rest of the paper we presented the solutions adopted in the speciication and implementation of the text planning component of the GIST multilingual generation system. We presented a exible architecture for multilingual strategical planning. Our design is based on three structural layers: communicative, rhetorical, textual. Special emphasis has been put on the com-12 (esplvar::send-birth-certiicate / send :time e=r=s :polarity positive :clause-type imperative :politeness normal :distance none :continuity discrete :nominalisation propositional :actor (esplvar::reader / hearer :recoverability recoverable :politeness polite :emphasis non-emphasized :deixis none :number singular :identiiability identiiable) :actee (esplvar::reader-birth-certiicate / birth-certiicate :deixis none :emphasis non-emphasized :number singular :recoverability nonrecoverable :identiiability identiiable) :beneeciary (esplvar::inps / department :deixis none :emphasis non-emphasized :number singular :recoverability recoverable)) Figure 2: Sample ESPL output (e.g. politeness). The textual engine takes as input an enriched communication plan and maps it onto an Espl expression (Vander Linden, 1994). Figure 2 shows a sample ESPL formula corresponding to the sentence "Send us the birth certiicate". The choices …
Fabrication of Simple and Ring-Type Piezo Actuators and Their Characterization

A piezo multilayered stack of height 10 mm is fabricated using 80 μm thick PZT tapes prepared by tape-casting technique. About 120 layers of thin tapes are dried, screen-printed with Pt-electrode paste, stacked, laminated, and then isopressed to obtain a green multilayered stack. Cofiring of the stack is carried out at 1250∘C for 1 h with very slow heating rate (15∘ per 1 h). The sintered stack is poled at 2 kV per mm in hot (120∘C) silicone oil bath for 45 minutes, and free displacement and block force were characterized. The actuator generates free displacement of 10 μm (0.1% strain) and block force of 1427 N at 175 V. In a similar way, a ring-shaped multilayered PZT stack was fabricated; the displacement was measured to be 8 μm. The ring-type actuator is mainly used for fluid flow control in space vehicles.
Fast optimization of non-convex Machine Learning objectives

In this project we examined the problem of non-convex optimization in the context of Machine Learning, drawing inspiration from the increasing popularity of methods such as Deep Belief Networks, which involve non-convex objectives. We focused on the task of training the Neural Autoregressive Distribution Estimator, a recently proposed variant of the Restricted Boltzmann Machine, in applications to density estimation. The aim of the project was to explore the various stages involved in implementing optimization methods and choosing the appropriate one for a given task. We examined a number of optimization methods, ranging from derivative-free to second order and from batch to stochastic. We experimented with variations of these methods, presenting along the way all the major steps and decisions involved. The challenges of the problem included the relatively large parameter space and the non-convexity of the objective function, the large size of some of the datasets we used, the multitude of hyperparameters and decisions involved in each method, as well as the ever-present danger of overfitting the data. Our results show that second order Quasi-Newton batch methods like L-BFGS and variants of stochastic first order methods like Averaged Stochastic Gradient Descent outshine the rest of the methods we examined.
Dissociable Effects of Valence and Arousal on Different Subtypes of Old/New Effect: Evidence from Event-Related Potentials

Here, we utilized the study-test paradigm combined with recognition confidence assessment and behavioral and event-related potential (ERP) measurements to investigate the effects of valence and arousal on the different subtypes of the old-new effect. We also test the effect of valence and arousal at encoding stage to investigate the underlying mechanism of the effect of the two emotional dimension on different retrieval process. In order to test the effects of valence and arousal on old/new effect precisely, we used the “subject-oriented orthogonal design” which manipulated valence and arousal independently according to subjects’ verbal reporting to investigate the effects of valence and arousal on old/new effect respectively. Three subtypes of old/new effect were obtained in the test phase, which were FN400, LPC, and late positivity over right frontal. They are supposed to be associated with familiarity, recollection, and post-retrieval processes respectively according to previous studies. For the FN400 component, valence affected mid-frontal negativity from 350–500 ms. Pleasant items evoked an enhanced ERP old/new effect relative to unpleasant items. However, arousal only affected LPC amplitude from 500–800 ms. The old/new effect for high-arousal items was greater than for low-arousal items. Valence also affected the amplitude of a positive-going slow wave at right frontal sites from 800–1000 ms, possibly serving as an index of post-retrieval processing. At encoding stage, the valence and arousal also have dissociable effect on the frontal slow wave between 350–800 ms and the centro-parietal positivity in 500–800 ms. The pleasant items evoked a more positive frontal slow wave relative to unpleasant ones, and the high arousal items evoked a larger centro-parietal positivity relative to low arousal ones. These results suggest that valence and arousal may differentially impact these different memory processes: valence affects familiarity and post-retrieval processing, whereas arousal affects recollection. These effects may be due to the conceptual encoding strategies for pleasant information and sensory encoding strategies for high arousal information.