Miracle-dz/UniFAR-FTUs huggingface dataset:
Similarity Recovery From Threshold-Based Sampling Under General Conditions

A mathematical framework for similarity recovery from threshold-based sampling based on the concept of quasi-isometry is introduced. The approach leads to a unified model of threshold-based sampling schemes which comprises “send-on-delta” (SOD), “leaky integrate-and-fire” or the psychophysical Weber–Fechner law as examples and gives raise to novel sampling schemes such as “Leaky SOD. ” As a result, the input and the output spaces become metric spaces being linked by lower and upper bounds under general conditions which go beyond assumptions in the signal recovery context. In particular, the proposed approach allows us to estimate the signal reconstruction error by resampling the reconstructed signal and applying the quasi-isometric distance measure in the sample space.
The Internet and the future of financial markets

nologies, particularly the Internet, have profoundly changed the dynamics of financial markets. More people are trading online through the Web instead of using full-service brokerages. According to Jupiter Communications, the $415 billion online brokerage assets in 1998 will grow by more than sevenfold to $3 trillion in 2003 [4]. Investors Combining new technology with established financial market mechanisms. can now trade stocks, access real-time market information, and conduct investment research in ways they could not dream of just a decade ago. However, if we look at the overall process of trading in financial markets (see Figure 1), which includes order entry by investors, order verification and routing by brokerage firms, and, finally, execution and settlement through various markets, online trading has only replaced telephones with the Web and provided a universal interface for individual investors to participate in the financial markets. It has not necessarily improved the overall efficiency level of the market. Beginning several years ago, the U.S. financial markets have been experiencing a profound change that goes far beyond online trading. It is not an exaggerated claim to describe the ongoing development as a fundamental revolution [2]. Recently, we have witnessed the Nasdaq's acquisition of the American Stock Exchange, the phenomenal growth of the Electronic Communications Networks (ECNs), and the introduction of after-hours trading. Looking at all the changes, ECNs have been among the most significant. ECNs are electronic trading systems that can automatically match buy and sell orders without the intermedi
Expression of the aryl hydrocarbon receptor is not required for the proliferation, migration, invasion, or estrogen‐dependent tumorigenesis of MCF‐7 breast cancer cells

The AhR was initially identified as a ligand‐activated transcription factor mediating effects of chlorinated dioxins and polycyclic aromatic hydrocarbons on cytochrome P450 1 (CYP1) expression. Recently, evidence supporting involvement of the AhR in cell‐cycle regulation and tumorigenesis has been presented. To further define the roles of the AhR in cancer, we investigated the effects of AhR expression on cell proliferation, migration, invasion, and tumorigenesis of MCF‐7 human breast cancer cells. In these studies, the properties of MCF‐7 cells were compared with those of two MCF‐7‐derived sublines: AHR100, which express minimal AhR, and AhRexp, which overexpress AhR. Quantitative PCR, Western immunoblots, 17β‐estradiol (E2) metabolism assays, and ethoxyresorufin O‐deethylase assays showed the lack of AhR expression and AhR‐regulated CYP1 expression in AHR100 cells, and enhanced AhR and CYP1 expression in AhRexp cells. In the presence of 1 nM E2, rates of cell proliferation of the three cell lines showed an inverse correlation with the levels of AhR mRNA. In comparison with MCF‐7 and AhRexp cells, AHR100 cells produced more colonies in soft agar and showed enhanced migration and invasion in chamber assays with E2 as the chemoattractant. Despite the lack of significant AhR expression, AHR100 cells retained the ability to form tumors in severe combined immunodeficient mice when supplemented with E2, producing mean tumor volumes comparable to those observed with MCF‐7 cells. These studies indicate that, while CYP1 expression and inducibility are highly dependent on AhR expression, the proliferation, invasion, migration, anchorage‐independent growth, and estrogen‐stimulated tumor formation of MCF‐7 cells do not require the AhR. © 2012 Wiley Periodicals, Inc.
Preparation of chimeric genes without subcloning

A simple quantitative assay for studying the invasive potential of high and low human metastatic variants. Cancer Lett. 38:137-147. 1997. Selection of invasive and metastatic subpopulations from a human lung adeno-carcinoma cell line. Am. response mediator protein -1 and the invasion and metastasis of cancer cells. 2001. Modification of the Boyden chamber to improve uniformity of cell invasion of Matrigel-coated membranes.fication of anti-invasive but noncytotoxic che-motherapeutic agents using the tetrazolium dye MTT to quantitate viable cells in Matri-gel.
Reconciling Malicious and Accidental Risk in Cyber Security

Consider the question whether a cyber security investment is cost-effective. The result will depend on the expected frequency of attacks. Contrary to what is referred to as threat event frequencies or hazard rates in safety risk management, frequencies of targeted attacks are not independent from system design, due to the strategic behaviour of attackers. Although there are risk assessment methods that deal with strategic attackers, these do not provide expected frequencies as outputs, making it impossible to integrate those in existing (safety) risk management practices. To overcome this problem, we propose to extend the FAIR (Factor Analysis of Information Risk) framework to support malicious, targeted attacks. Our approach is based on (1) a clear separation of system vulnerability and environmental threat event frequencies, and (2) deriving threat event frequencies from attacker resources and attacker strategies rather than estimating them directly, drawing upon work in adversarial risk analysis. This approach constitutes an innovative way to quantify expected attack frequencies as a component of (information) security metrics for investment decisions.
2,3,4,5,6-Pentafluoro-trans-cinnamic acid

The title compound, C9H3F5O2, crystallizes as O—H⋯O hydrogen-bonded carboxylic acid dimers that, together with C—H⋯F interactions and O⋯F [2.8065 (13) and 2.9628 (13) Å] and F⋯F [2.6665 (11), 2.7049 (12) and 2.7314 (12) Å] contacts, form a sheet-like structure. The sheets are stacked via short π–π interactions [centroid–centroid distance = 4.3198 (11) Å]. An intramolecular C—H⋯F interaction is also observed.
Chronic inflammation confers to the metabolic reprogramming associated with tumorigenesis of colorectal cancer

ABSTRACT It's well known that microenvironment inflammatory signals could promote cancer development and progression. In colorectal cancer (CRC), chronic inflammation is a major driving mechanism for the development of CRC in patients having long-standing inflammatory bowel disease (IBD). Though it has been addressed that cancer cells ferment much of their glucose supply into lactate regardless of the presence of oxygen, it is unclear whether cell metabolism has been reprogramed during the process from IBD to CRC. Herein, with dextran sulfate sodium (DSS)-induced mouse colitis model, we found that inflammation upregulated key glycolytic enzymes expression via activation of STAT3/c-Myc signaling pathway. Interestingly, during the whole phase of chronic inflammation, the key metabolic enzymes demonstrated increased expression constantly, indicating the metabolic reprogramming was induced by long-term inflammatory signal. Moreover, either the inhibition of STAT3 signaling or c-Myc activity could block the glycolytic enzymes expression induced by interleukin 6 (IL-6). Thus, we presented the view that inflammation could induce the metabolic reprogramming and promote the progression from chronic colitis to colorectal cancer.
Prediction of student performance on the Comprehensive Osteopathic Medical Licensing Examination Level I based on admission data and course performance

Abstract To predict student performance on the Comprehensive Osteopathic Medical Licensing Examination (COMLEX-USA) Level 1 examination based on academic performance during the first 2 years, stepwise regression analysis of COMLEX-USA Level 1 performance with preadmission grade point averages, Medical College Admission Test scores, and academic performance was performed on the class of 2000 to develop three formulae that were then used to predict performance on COMLEX-USA Level 1 for the class of 2001. Models ranged in accuracy of predicting the pass/fail status from 95.2% (all available data) to 96.8% (first-year grades and admissions data). A predictive model for student performance on COMLEX-USA Level 1 can be developed and has a high degree of accuracy. The model with the most variables available to choose from predicts the most failures.
Neighborhood Cohesion Is Associated With Reduced Risk of Stroke Mortality

Background and Purpose— Greater social cohesion is related to lower rates of coronary heart disease, but its relation to stroke risk is unstudied. This study examined whether neighborhood social cohesion was protective against stroke mortality and incidence. Methods— Data come from 5789 participants (60% female; 62% black; mean age, 74.7 years) in a longitudinal study of chronic diseases in the elderly. Stroke mortality, ascertained through December 31, 2007, was verified through the National Death Index; 186 stroke deaths were identified in 11 years of follow-up. Stroke incidence was determined in a subset (N=3816) with linkage to Medicare claims files; 701 first-ever strokes were identified. Cohesion was measured by 6 items assessing frequency of contact and social interactions with neighbors; items were z-scored and averaged. Individual scores were averaged across 82 census block groups, forming a neighborhood-level measure of social cohesion. Marginal Cox proportional hazard models tested the association of neighborhood-level cohesion with stroke mortality and incidence. Results— Each 1-point increase in cohesion related to a 53% reduced risk of stroke mortality (hazard ratio, 0.47; 95% CI, 0.24 to 0.90), adjusting for relevant covariates, including sociodemographics, known stroke risk factors, and neighborhood-level socioeconomic status. A race×cohesion interaction (P=0.04) revealed cohesion was protective in whites (hazard ratio, 0.34; 95% CI, 0.17 to 0.67) but not blacks (hazard ratio, 1.17; 95% CI, 0.35 to 3.86). Cohesion was unrelated to stroke incidence (P>0.5). Conclusions— Neighborhood-level social cohesion was independently protective against stroke mortality. Research is needed to further examine observed race differences and pathways by which cohesion is health-protective.
Influence of liquid surface tension on stiction of SOI MEMS

Stiction during the release step is one of the most important problems in micro-electromechanical systems (MEMS). This phenomenon, due to capillary forces and molecular adhesion, appears during drying after wet etching. This force is directly proportional to the surface tension of the last liquid used before drying. In this paper, we present firstly an experimental study of the influence of the liquid surface tension on the stiction of the SOI microstructure. In a second part we show how a new industrial bath process is able to perform the complete release step (etching, rinsing and drying).
A Thurstonian Model for Quantitative Genetic Analysis of Ranks: A Bayesian Approach

A fully Bayesian method for quantitative genetic analysis of data consisting of ranks of, e.g., genotypes, scored at a series of events or experiments is presented. The model postulates a latent structure, with an underlying variable realized for each genotype or individual involved in the event. The rank observed is assumed to reflect the order of the values of the unobserved variables, i.e., the classical Thurstonian model of psychometrics. Parameters driving the Bayesian hierarchical model include effects of covariates, additive genetic effects, permanent environmental deviations, and components of variance. A Markov chain Monte Carlo implementation based on the Gibbs sampler is described, and procedures for inferring the probability of yet to be observed future rankings are outlined. Part of the model is rendered nonparametric by introducing a Dirichlet process prior for the distribution of permanent environmental effects. This can lead to potential identification of clusters of such effects, which, in some competitions such as horse races, may reflect forms of undeclared preferential treatment.
Double-Balanced FET Resistive Mixer Using Multilayer Photoimageable Thick-Film Technology

A double-balanced mixer (DBM) using a monolithic FET-quad operating in resistive mode has been designed and realised using multilayer technology. The resistive DBM module integrates bare chip active devices and SMT passive components together with integrated passive structures fabricated using photoimageable thick-film materials. The photoimageable process is a modified thick-film technique that is well-suited for three-dimensional ceramic multi-chip module (MCM-C) packaging technology required for "System-on-Package" (SoP) applications. The mixer measuring 13mm x 13mm and operating in C-band achieved a nominal conversion loss of 10dB and required LO power as low as +5dBm. A high 3rd-order intercept point (IP3) of +24dBm was achieved with LO power set at +13dBm.
CASViD: Application Level Monitoring for SLA Violation Detection in Clouds

Cloud resources and services are offered based on Service Level Agreements (SLAs) that state usage terms and penalties in case of violations. Although, there is a large body of work in the area of SLA provisioning and monitoring at infrastructure and platform layers, SLAs are usually assumed to be guaranteed at the application layer. However, application monitoring is a challenging task due to monitored metrics of the platform or infrastructure layer that cannot be easily mapped to the required metrics at the application layer. Sophisticated SLA monitoring among those layers to avoid costly SLA penalties and maximize the provider profit is still an open research challenge. This paper proposes an application monitoring architecture named CASViD, which stands for Cloud Application SLA Violation Detection architecture. CASViD architecture monitors and detects SLA violations at the application layer, and includes tools for resource allocation, scheduling, and deployment. Different from most of the existing monitoring architectures, CASViD focuses on application level monitoring, which is relevant when multiple customers share the same resources in a Cloud environment. We evaluate our architecture in a real Cloud testbed using applications that exhibit heterogeneous behaviors in order to investigate the effective measurement intervals for efficient monitoring of different application types. The achieved results show that our architecture, with low intrusion level, is able to monitor, detect SLA violations, and suggest effective measurement intervals for various workloads.
Geometric tools for exploring manifolds of light transport paths

Photorealistic images created using physical simulations of light have become a ubiquitous element of our everyday lives. The most successful techniques for producing such images replicate the key physical phenomena in a detailed software simulation, including the emission of light by sources, transport through space, and scattering in the atmosphere and at the surfaces of objects. Mathematically, this computation involves the approximation of many high-dimensional integrals, one for each pixel of the image, usually using Monte Carlo methods. Although a great deal of progress has been made on rendering algorithms, so that physically based rendering is now routinely used in many applications, commonly occurring situations can still cause these algorithms to become impractically slow, forcing users to make unrealistic scene modifications to obtain satisfactory results. Light transport is complex because light can flow along a great variety of different paths through a scene, though only a subset of these makes relevant contributes to the final image. The simulation becomes ineffective when it is difficult to find the important paths. Commonly occurring materials like smooth metal or glass surfaces can easily lead to such situations, where only very few lighting paths participate, leading to spiky integrands and poor convergence. How to efficiently handle such cases in general has been a long-standing problem. In this paper, we provide a geometric solution to this problem by representing light paths as points in an abstract high-dimensional configuration space that is defined by a system of constraint equations. This configuration space is a differentiable manifold, which can be locally parameterized in the neighborhood of an existing path. Building on this framework, we propose Manifold Exploration, a rendering technique that efficiently explores the integration domain by taking geometrically informed steps on the manifold of light paths.
Bactericidal Activity of Mammalian Cathelicidin-Derived Peptides

ABSTRACT Endogenous antimicrobial peptides of the cathelicidin family contribute to innate immunity. The emergence of widespread antibiotic resistance in many commonly encountered bacteria requires the search for new bactericidal agents with therapeutic potential. Solid-phase synthesis was employed to prepare linear antimicrobial peptides found in cathelicidins of five mammals: human (FALL39/LL37), rabbit (CAP18), mouse (mCRAMP), rat (rCRAMP), and sheep (SMAP29 and SMAP34). These peptides were tested at ionic strengths of 25 and 175 mM against Pseudomonas aeruginosa, Escherichia coli, Staphylococcus aureus, and methicillin-resistant Staphylococcus aureus. Each peptide manifested activity against P. aeruginosa irrespective of the NaCl concentration. CAP18 and SMAP29 were the most effective peptides of the group against all test organisms under both low- and high-salt conditions. Select peptides of 15 to 21 residues, modeled on CAP18 (37 residues), retained activity against the gram-negative bacteria and methicillin-sensitive S. aureus, although the bactericidal activity was reduced compared to that of the parent peptide. In accordance with the behavior of the parent molecule, the truncated peptides adopted an α-helical structure in the presence of trifluoroethanol or lipopolysaccharide. The relationship between the bactericidal activity and several physiochemical properties of the cathelicidins was examined. The activities of the full-length peptides correlated positively with a predicted gradient of hydrophobicity along the peptide backbone and with net positive charge; they correlated inversely with relative abundance of anionic residues. The salt-resistant, antimicrobial properties of CAP18 and SMAP29 suggest that these peptides or congeneric structures have potential for the treatment of bacterial infections in normal and immunocompromised persons and individuals with cystic fibrosis.
Network-Assisted Outband D2D-Clustering in 5G Cellular Networks: Theory and Practice

We introduce a channel-opportunistic architecture that enhances the user experience in terms of throughput, fairness, and energy efficiency. Our proposed architecture leverages D2D communication and it is built on top of the forthcoming D2D features of 5G networks. In particular, we focus on outband D2D where cellular users are allowed to exploit both cellular (i.e., LTE-A) and WLAN (i.e., WiFi Direct) technologies to establish a D2D connection. In this architecture, cellular users form clusters, in which only the user with the best channel condition communicates with the base station on behalf of the entire cluster. Within the cluster, the unlicensed spectrum is utilized to relay traffic. In this article, we provide analytical models for the proposed system and study the impact of several payoff distribution methods commonly adopted in the literature on coalitional game theory. We then introduce an operator-controlled relay protocol based on the D2D features of LTE-A and WiFi Direct, and demonstrate the feasibility and the advantages of D2D-assisted cellular communication with our SDR prototype.
Reliability study of magnetic tunnel junction with naturally oxidized MgO barrier

We examined the breakdown characteristics of naturally oxidized MgO barriers using a time dependent dielectric breakdown (TDDB) technique. We found that the positive bias dependence of the breakdown time can be explained using the E-model and negative bias dependence can be explained using the power-law model. This asymmetric nature of the oxidized MgO barrier was due to unoxidized Mg metal at the reference/barrier interface. We also estimated the lifetime expansion under pulse voltage stress by taking the Joule heating effects into account.
Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease

The Early Treatment Diabetic Retinopathy Study (ETDRS) and other standardized classification schemes have laid a foundation for tremendous advances in the understanding and management of diabetic retinopathy (DR). However, technological advances in optics and image analysis, especially optical coherence tomography (OCT), OCT angiography (OCTa), and ultra-widefield imaging, as well as new discoveries in diabetic retinal neuropathy (DRN), are exposing the limitations of ETDRS and other classification systems to completely characterize retinal changes in diabetes, which we term diabetic retinal disease (DRD). While it may be most straightforward to add axes to existing classification schemes, as diabetic macular edema (DME) was added as an axis to earlier DR classifications, doing so may make these classifications increasingly complicated and thus clinically intractable. Therefore, we propose future research efforts to develop a new, comprehensive, and clinically useful classification system that will identify multimodal biomarkers to reflect the complex pathophysiology of DRD and accelerate the development of therapies to prevent vision-threatening DRD.
Spatiotemporal complexity in traveling patterns.

This is a study of the nonlinear interactions of solitary waves or impulses in homogeneous, extended media. We obtain the set of ordinary differential equations for the positions of the impulses in the nearest-neighbor approximation. Solutions with constant velocity lead to pattern maps that give the successive spacings of the impulses. From among the infinitely many metastable patterns given by the maps, the system chooses one asymptotically through a hierarchical evolution.