Miracle-dz/UniFAR-FTUs huggingface dataset:
Tamper Resistance for Software Defined Radio Software

The security of software defined radio (SDR) software is essential to the trustworthiness of the overall radio system. When designing and developing security solutions for SDR software, its performance requirements, such as stringent real-time constraint, need to be considered. In this paper, we describe a tamper resistance scheme that was designed to thwart the unauthorized tampering of SDR software. This scheme utilizes code encryption and branch functions to obfuscate the target program while enabling the program to satisfy its performance requirements. The scheme employs a technique called the Random Branch Function Call (RBFC), which enables a user to control the tradeoff between integrity checking frequency and the overhead. We have rigorously evaluated the scheme using various performance metrics and quantified the relationship between the end-to-end delay overhead (caused by the tamper resistance scheme) and voice quality in the context of a voice communication network.
A small molecule induces integrin β4 nuclear translocation and apoptosis selectively in cancer cells with high expression of integrin β4

Increased integrin β4 (ITGB4) level is accompanied by malignant progression of multiple carcinomas. However, selective therapeutic strategies against cancer cells expressing a high level of ITGB4 have not been reported. Here, for the first time, we report that a chiral small molecule, SEC, selectively promotes apoptosis in cancer cells expressing a high level of ITGB4 by inducing ITGB4 nuclear translocation. Nuclear ITGB4 can bind to the ATF3 promoter region and activate the expression of ATF3, then upregulate the downstream pro-apoptosis genes. Furthermore, SEC promoted the binding of annexin A7 (ANXA7) to ITGB4 and increased ANXA7 GTPase activity. Activated ANXA7 promoted ITGB4 nuclear translocation by triggering ITGB4 phosphorylation at Y1494. SEC also inhibited the growth of xenograft tumors in the avian embryo model. We identified a small molecule, SEC, with selective pro-apoptosis effects on cancer cells with high expression of ITGB4, both in vitro and in vivo, by triggering the binding of ITGB4 and ANXA7, ITGB4 nuclear trafficking, and pro-apoptosis gene expression.
A NEW APPROACH TO QUANTIFICATION / NUCLEAR AND MITOCHONDRIAL DNA OF BIOLOGICAL TRACES BY ABI PRISM ® 7700 SEQUENCE DETECTION SYSTEM

We have developed a real-time quantitative PCR assay to measure the concentration of DNA extracted in forensic biological traces. Its rapid and sensitive results were obtained in less than 4 hours. This real-time quantification can be performed on the ABI Prism 7700 Sequence Detector using the fluorogenic probe in a TaqMan assay. We suggest a protocol that will be able to detect and quantitate human DNA and optimize PCR conditions (as the number of cycles) of DNA analysis in forensic caseworks.
Regression and time series model selection in small samples

SUMMARY A bias correction to the Akaike information criterion, AIC, is derived for regression and autoregressive time series models. The correction is of particular use when the sample size is small, or when the number of fitted parameters is a moderate to large fraction of the sample size. The corrected method, called AICC, is asymptotically efficient if the true model is infinite dimensional. Furthermore, when the true model is of finite dimension, AICC is found to provide better model order choices than any other asymptotically efficient method. Applications to nonstationary autoregressive and mixed autoregressive moving average time series models are also discussed.
Localization of DECT mobile phones based on a new nonlinear filtering technique

In this paper, nonlinear Bayesian filtering techniques are applied to the localization of mobile radio communication devices. The application of this approach is demonstrated for the localization of DECT mobile telephones in a scenario with several base stations and a mobile handset. The received signal power, measured by the mobile handsets, is related to their position by nonlinear measurement equations. These consist of a deterministic part, modeling the received signal power as a function of the position, and a stochastic part, describing model errors and measurement noise. Additionally, user models are considered, which express knowledge about the motion of the user of the handset. The new Prior Density Splitting Mixture Estimator (PDSME), a Gaussian mixture filtering algorithm, significantly improves the localization quality compared to standard filtering techniques as the Extended Kalman Filter (EKF).
Neural Basis of Superior Performance of Action Videogame Players in an Attention-Demanding Task

Steady-state visual evoked potentials (SSVEPs) were recorded from action videogame players (VGPs) and from non-videogame players (NVGPs) during an attention-demanding task. Participants were presented with a multi-stimulus display consisting of rapid sequences of alphanumeric stimuli presented at rates of 8.6/12 Hz in the left/right peripheral visual fields, along with a central square at fixation flashing at 5.5 Hz and a letter sequence flashing at 15 Hz at an upper central location. Subjects were cued to attend to one of the peripheral or central stimulus sequences and detect occasional targets. Consistent with previous behavioral studies, VGPs detected targets with greater speed and accuracy than NVGPs. This behavioral advantage was associated with an increased suppression of SSVEP amplitudes to unattended peripheral sequences in VGPs relative to NVGPs, whereas the magnitude of the attended SSVEPs was equivalent in the two groups. Group differences were also observed in the event-related potentials to targets in the alphanumeric sequences, with the target-elicited P300 component being of larger amplitude in VGPS than NVGPs. These electrophysiological findings suggest that the superior target detection capabilities of the VGPs are attributable, at least in part, to enhanced suppression of distracting irrelevant information and more effective perceptual decision processes.
Identification of Tropomyosin and Its Immunological Properties from Larvae of Cattle Tick, Boophilus annulatus

Background Boophilus annulatus is an obligate blood feeder tick that can cause great losses in animals due to anemia and its ability to injure its host skin directly. The aim of this study was identification of cattle humoral immune response to some tick proteins during experimental infestation. Methods Immune sera against tick were collected from experimentally infested cattle with ticks. One and two-dimensional electrophoresis and Western blotting methods were used for the detection of immunogenic proteins in larval tick extract and eight of these proteins were identified by MALDITOF and MALDI-TOF-TOF mass spectrometry. Results In non-reducing one-dimensional SDS-PAGE, some bounds between 12 to more than 250-kDa appeared. In two-dimensional SDS-PAGE, numerous spot appeared and the identified immunogenic proteins by parallel immunoblotting weighted between 14 and 97 kDa. Amino acid sequences of protein spot with 37-kDa molecular weight had identity to tropomyosin based on Mascot search in NCBI. Conclusion Anti tropomyosin antibodies can be induced in experimentally infested hosts with ticks and it seems that tropomyosin can be useful for the development of anti tick vaccines.
Coined quantum walks on weighted graphs

We define a discrete-time, coined quantum walk on weighted graphs that is inspired by Szegedy’s quantum walk. Using this, we prove that many lackadaisical quantum walks, where each vertex has l integer self-loops, can be generalized to a quantum walk where each vertex has a single self-loop of real-valued weight l. We apply this real-valued lackadaisical quantum walk to two problems. First, we analyze it on the line or one-dimensional lattice, showing that it is exactly equivalent to a continuous deformation of the three-state Grover walk with faster ballistic dispersion. Second, we generalize Grover’s algorithm, or search on the complete graph, to have a weighted self-loop at each vertex, yielding an improved success probability when l<3+22≈5.828.
SVD-based polyphonic music transcription

The aim of this work is to perform polyphonic music transcription in an efficient way. The problem is formulated as a linear model and the speed is improved by a randomized SVD-based method. The method is shown to compete with the best resulting approaches in literature. The conventional methods seem to fail in this era of big data whereas the proposed method efficiently handles this by use of randomized algorithms for matrix decompositions. The method is able to improve time and space complexity without compromising the high success rate.
Association between Indoor Environmental Quality (IEQ), Occupants Productivity and Perceived Productivity in Malaysian Green Office Buildings

The indoor environmental quality (IEQ) can be describe in general as the measurement of the internal environment and parameters affecting the comfort of building occupants. This research study aims to examine the relationship between Indoor Environmental Quality (IEQ), occupant’s satisfaction and productivity in selected green rated office buildings. The survey was conducted at four (4) rated Green Building Index (GBI) office buildings located in the heart of Kuala Lumpur and Putrajaya, Malaysia. These selected office buildings was awarded with Platinum and Gold Provisional Certification respectively by the GBI Association Malaysia. There are twenty-five (25) items in Section A of the questionnaire while there are twelve (12) items on the respondent’s demographic profile and work place criteria that were allocated in section B of the questionnaire. The questionnaire was administrated to 350 occupants working in the rated green office buildings with responsive rate of 86%. The respondents were asked to select their preferences based on a seven-point Likert scale of agreement and satisfaction for Section A and multiple answer question for Section B. Descriptive analysis of this main study was conducted using the SPSS version 22. Meanwhile, the measurement and structural model analysis of this study was performed using the PLS-SEM: SMART PLS Version 3.2. There are four aspects of assessment in this measurement model that include indicator reliability, internal consistency reliability, convergent validity, discriminant validity, and multicollinearity evaluation. As for the structural model of this study, an analysis was conducted to verify the research hypothesis of this study. Hence, result of this main study indicated that there is a mix relationship between the Indoor Environmental Quality (IEQ) main variables with occupant’s satisfaction and productivity in green rated office building. These results highlighted the importance of the Indoor Environmental Quality (IEQ) dimensions of the thermal comfort perceiving occupant’s satisfaction in office building. Thus, also verified that there is a significant association between occupant’s satisfaction and perceived productivity in green rated Non-Residential New Construction (NRNC) building.
Multistandard Transmission Over Plastic Optical Fiber

This paper describes a multistandard fiber fed wireless system, which provides low-cost and enhanced performances regarding laser nonlinearity and RF transmitted power. Experimental results demonstrate that the proposed scheme provides not only optimized performances for low cost coming both from plastic optical fiber and vertical cavity surface emitting lasers (VCSELs), but also optimization of RF modulation power by complementary cumulative distribution function analysis and enhanced linear behavior by a whole new quasi-static approach of the VCSEL. With the help of those features, we successfully demonstrate minimization of error vector magnitude for simultaneous ultra-wideband multiband-orthogonal frequency division multiplexing and wireless local area network 802.11g optically transmitted signals and the possibility to use this system under conditions for symmetrical wireless communication.
Stochastic Model for Adaptation Using Basin Hopping Dynamics

An analysis is presented for adaptive selection of modes using bifurcation of mode-hopping dynamics in a multi-basin system. The analysis utilizes a formalism based on coarse-grained state transitions. Stochastic state transition probabilities are used to derive expressions for mode search times and adaptation rates. This approach can be applied to the tuning of dynamical instabilities in flexible control systems
How to Learn Fuzzy User Preferences with Variable Objectives

This paper studies a possibility to learn a complex user preference model, based on CP-nets, from user ratings. This work is motivated by the need of user modelling in decision mak- ing support, for example in e-commerce. We extend our user model based on fuzzy logic to capture variation of preference objectives. The proposed method 2CP-regression is described and tested. 2CP- regression uses CP-nets idea behind and can be considered as learn- ing of a simple CP-net from user ratings. Keywords— user preferences, data mining, ceteris paribus
Land and cryosphere products from Suomi NPP VIIRS: Overview and status

The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument was launched in October 2011 as part of the Suomi National Polar‐Orbiting Partnership (S‐NPP). The VIIRS instrument was designed to improve upon the capabilities of the operational Advanced Very High Resolution Radiometer and provide observation continuity with NASA's Earth Observing System's Moderate Resolution Imaging Spectroradiometer (MODIS). Since the VIIRS first‐light images were received in November 2011, NASA‐ and NOAA‐funded scientists have been working to evaluate the instrument performance and generate land and cryosphere products to meet the needs of the NOAA operational users and the NASA science community. NOAA's focus has been on refining a suite of operational products known as Environmental Data Records (EDRs), which were developed according to project specifications under the National Polar‐Orbiting Environmental Satellite System. The NASA S‐NPP Science Team has focused on evaluating the EDRs for science use, developing and testing additional products to meet science data needs, and providing MODIS data product continuity. This paper presents to‐date findings of the NASA Science Team's evaluation of the VIIRS land and cryosphere EDRs, specifically Surface Reflectance, Land Surface Temperature, Surface Albedo, Vegetation Indices, Surface Type, Active Fires, Snow Cover, Ice Surface Temperature, and Sea Ice Characterization. The study concludes that, for MODIS data product continuity and earth system science, an enhanced suite of land and cryosphere products and associated data system capabilities are needed beyond the EDRs currently available from the VIIRS.
Metadata Principles and Practicalities

Katholieke Universiteit Leuven, Belgium Erik DuvalErik.Duval@cs.kuleuven. ac.beStrategic FuturistAutodesk Wayne Hodginswayne.hodgins@autodesk.comAssociate Professor, The Information SchoolUniversity of Washington Stuart Suttonsasutton@u.washington. eduExecutive DirectorDublin Core Metadata Initiative Stuart L. WeibelWeibel@oclc.org
Radiochemical investigations of gastrin-releasing peptide receptor-specific [(99m)Tc(X)(CO)3-Dpr-Ser-Ser-Ser-Gln-Trp-Ala-Val-Gly-His-Leu-Met-(NH2)] in PC-3, tumor-bearing, rodent models: syntheses, radiolabeling, and in vitro/in vivo studies where Dpr = 2,3-diaminopropionic acid and X = H2O or P(CH2

Bombesin (BBN), a 14 amino acid peptide, is an analogue of human gastrin-releasing peptide (GRP) that binds to GRP receptors (GRPrs) with high affinity and specificity. The GRPr is overexpressed on a variety of human cancer cells, including prostate, breast, lung, and pancreatic cancers. The specific aim of this study was to develop (99m)Tc(I)-radiolabled BBN analogues that maintain high specificity for the GRPr in vivo. A preselected synthetic sequence via solid phase peptide synthesis was designed to produce 2,3-diaminopropionic acid (Dpr)-BBN conjugates with the following general structure: Dpr-Ser-Ser-Ser-Gln-Trp-Ala-Val-Gly-His-Leu-Met-(NH(2)). The new BBN constructs were purified by reversed phase high-performance liquid chromatography. Electrospray mass spectrometry was used to characterize the nonmetallated BBN conjugates. Re(I)-BBN conjugates were prepared by the reaction of [Re(Br)(3)(CO)(3)](2-) and Dpr-Ser-Ser-Ser-Gln-Trp-Ala-Val-Gly-His-Leu-Met-(NH(2)) with gentle heating. Electrospray mass spectrometry was used to determine the molecular constitution of the new Re(I) conjugates. The (99m)Tc conjugates were prepared at the tracer level by preconjugation, postlabeling approach from the reaction of [(99m)Tc(H(2)O)(3)(CO)(3)](+) and corresponding ligand. The (99m)Tc and Re(I) conjugates behaved similarly under identical reversed phase high-performance liquid chromatography conditions. Results from in vitro and in vivo models demonstrated the ability of these derivatives to specifically target GRPrs on human, prostate, cancerous PC-3 cells.
Integrating digital logic design and assembly programming using FPGAs in the classroom

Rising Field Programmable Gate Array (FPGA) market volumes combined with increasing industrial popularity have driven prices down and improved capability to the point that FPGA hardware and development environments afford academia the unique opportunity to embrace this technology not only in specialized graduate-level courses, but also across many of the courses of a traditional undergraduate computer science curriculum. We have begun adapting several of our undergraduate computer science courses and associated laboratories to make use of FPGAs as a common platform of instruction. In this paper, we illustrate how to make use of FPGAs in courses that cover digital logic design and assembly programming while discussing some of the pro's and con's of their use. We also provide a detailed discussion of a laboratory project that integrates both assembly programming as well as digital logic design in such a way that allows the student to perform a trade-off analysis between using software in the place of a purely hardware-based solution to a common interfacing problem. We conclude with an analysis of preliminary data gathered via student surveys and find that the results support the use of FPGA-based platforms in the undergraduate classroom. By making use of FPGA-based systems, not only are students exposed to a technology that is becoming much more prevalent in industry, they also benefit from the dovetailing of concepts and shorter learning curves between courses that come from making use of a common target platform.
Stock Based Compensation: Firm-specific risk, Efficiency and Incentives

This paper examines the efficiency of stock based compensation by valuing stock and options from the executive's point of view. Companies give compensation in the form of stock in order to align incentives by providing a link between executive wealth and the stock price performance of the company. However, it requires the executive to be exposed to firm-specific risk, and thus hold a less than fully diversified portfolio. Since firm-specific risk is not priced, this leads to the executive placing less value on the options than their cost to the company, given by their market value. We propose a continuous time, utility maximisation model to value the executive's com- pensation. We endogenise allocation of the executive's non-option wealth as the executive may invest in the market portfolio. Executives trade the market portfolio to adjust exposure to market risk, but are subject to firm-specific risk for incentive purposes. By distinguishing between these two types of risks, we are able to examine the effect of stock volatility, firm-specific risk, market risk and the correlation between the stock and the market, on the value to the executive and incentives. We can prove that there is a negative relationship between firm-specific risk and value, if volatility is fixed. However, the value may increase or decrease with firm-specific risk if market risk is fixed. The same ambiguous relationship is found if we consider value as a function of volatility, so executives will not always aim to increase the volatility of the stock price. Just as the value of the compensation to the executive is overstated in a Black Scholes model, the Black Scholes model also exaggerates the incentives for the executive to increase the stock price. We address the question of how the company can maximise incentives (for a given cost) and show that if stock compensation replaces cash remuneration, it is optimal to compensate with stock, rather than options.
Detection and Evaluation of Intracranial Aneurysms in the Posterior Fossa by Multidetector Computed Tomography Angiography – Comparison with Digital Subtraction Angiography

Introduction: Posterior fossa hemorrhages are not so frequent but as posterior cranial fossa space is narrow and has many vital structures, even a small amount of bleed can lead to compression of brain stem and serious consequences. Identification and planning management of cause of bleed requires angiogram. Digital subtraction angiography (DSA) being invasive modality but is gold standard, so noninvasive computed tomography angiography (CTA) is compared to detect cause of bleed in the posterior fossa in this study. Materials and Methods: From January 2017 to October 2018, all patients with posterior fossa bleed who underwent CTA and DSA for evaluation were compared regarding identification of aneurysm as cause of bleed. Results: A total of 49 patients were evaluated in this study during study duration, of which 26 (53%) were male and 23 (47%) were female. Out of 49 patients evaluated, 47 patients had aneurysms detected on DSA. Of 25 patients who underwent both procedures, 23 patients had aneurysms, and correct diagnosis was made with CTA in 24 out of 25 aneurysms. One aneurysm missed by CTA was close to bony structure. Discussion: With advancement of CTA technology, sensitivity of detecting intracranial aneurysms has increased to >96%. The overall sensitivity in detecting aneurysms is 96% with sensitivity in detecting aneurysms >4 mm being 100%. The sensitivity of CTA for smaller sized aneurysms is low which is attributed partially to lower spatial resolution of CT compared to DSA. Conclusion: CTA is a simple, fast, and noninvasive imaging modality that can be used to detect and characterize intracranial aneurysms in the posterior fossa.
Blind iterative singular vectors estimation and adaptive spatial loading in a reciprocal MIMO channel

In this paper spatial loading in a reciprocal time-varying multiple-input multiple-output (MIMO) channel is considered. We take inspiration from a blind iterative algorithm proposed in the literature to estimate the singular vectors associated to the dominant singular value to perform beamforming. Starting from that, we introduce an iterative algorithm that can estimate all the singular vectors and the associated singular values of the channel matrix. Then the estimated singular vectors are used to transmit over the parallel sub-channels and the associated singular values are considered to implement the rate and power loading algorithm described in this paper. A procedure based on the joint use of the two considered algorithms can be adopted to adaptively maximize the total rate for a given error rate performance and a given constraint on the average transmitted power. Simulation results are used to demonstrate the effectiveness of our approach compared to blind iterative beamforming transmission.