Miracle-dz/UniFAR-FTUs huggingface dataset:
Monulens : Real-time mobile-based Landmark Recognition

In this report, we present a real-time mobile-based landmark recognition application called Monulens. Contrary to most applications, Monulens does all processing on the mobile device alone, and does not require any server-side support. We present quantitative results regarding the time taken for processing a single query. We also present empirical accuracy of the application. We also formulate results for cross-device testing and observe an interesting trend.
Quantifying the Transmit Diversity Order of Euclidean Distance Based Antenna Selection in Spatial Modulation

In this letter, we quantify the transmit diversity order of the SM system operating in a closed-loop scenario. Specifically, the SM system relying on Euclidean distance based antenna subset selection (EDAS) is considered and the achievable diversity gain is evaluated. Furthermore, the resultant trade-off between the achievable diversity gain and switching gain is studied. Simulation results confirm our theoretical results. Specifically, switching gain is studied. Simulation results confirm our theoretical results. Specifically, at a symbol error rate of about 10-4 the signal-to-noise ratio gain achieved by EDAS is about 7 dBat a symbol error rate of about 10-4 the signal-to-noise ratio gain achieved by EDAS is about 7 dB in case of 16-QAM and about 5 dB in case of 64-QAM.
Even Lower Latency, Even Better Fairness: Logistic Growth Congestion Control in Datacenters

Datacenter transport has attracted much recent interest, however, most proposed improvements require changing the datacenter fabric, which hinders their applicability and deployability over commodity hardware. In this paper, we present a novel congestion controller, Logistic Growth Control (LGC), for datacenters which does not require changes to the datacenter fabric. LGC uses a similar ECN marking as in DCTCP, but adapts to congestion using the logistic growth function. This function has been proven to have nice characteristics including stability, convergence, fairness, and scalability, which are very appealing for congestion control. As a result, our LGC mechanism operates in the datacenter network in a more stable and fair manner, leading to less queuing and latency. LGC also behaves better than DCTCP, and it converges to the fair share of the bottleneck link capacity irrespective of the Round-Trip-Time (RTT). We discuss the stability and fairness of LGC using a fluid model, and show its performance improvement with simulations.
Mobile visual access to legacy voice-based applications

Vocal systems are a well-established reality. Examples of popular voice-based applications include helpdesk services, reservation systems, and vocal mailboxes. These services, that are accessible by mobile or fixed phones, suffer from some drawbacks: they cannot be used by people with hearing impairments, and they are not user-friendly for recurring customers who are forced into a bother-some interaction model. Thanks to the current availability of mobile devices with high processing capability and large memory, it is now possible to augment vocal systems with a graphical presentation. We designed an interpreter that converts the interaction between the user and the applications from vocal to visual, improving the usability of services as well as their accessibility. This has been achieved without requiring any substantial modification to the original voice-based systems. In this way, the service providers are not forced to re-write the applications or even abandon the technology in which they had invested.
A theoretical framework of aesthetic design for a better learning experience on the web-based educational platform

With the rapid progression in information and network technologies, web-based educational environment like electronic learning (e-learning) websites and mobile learning (m-learning) websites are increasingly common to be used as a platform for teaching and learning activities. Prior studies in website design have confirmed the crucial role of aesthetics in attracting users, encouraging further exploration and influencing the user performance positively. However, a framework for designing an aesthetic web-based educational platform that should have a positive impact on learning experience is the least explored topic in this area. Therefore, this research aims to propose a framework for designing an aesthetic web-based educational platform, which highlights simplicity, a characteristic that is highly correlated with classical aesthetics, and to study the impact of classical aesthetics on learning experience. The proposed framework is presented and how it should impact learning experience positively through the classical aesthetic design for a web-based educational platform is discussed. Future work involves the verification and validation of the proposed framework through experimental websites and questionnaires with experts as well as users to investigate the impact of this design framework on learning experience. This study hopes to provide a framework that helps in designing an aesthetic web-based educational platform that can impact learning experience positively.
Predicting the Next Step of a Random Walk: Experimental Evidence of Regime-Shifting Beliefs

Two experiments with MBA-student participants support Barberis, Shleifer, and Vishny's (1998) prediction that investors expect random-walk sequences to shift between continuation regimes (in which changes tend to be followed by like changes) and reversal regimes (in which changes tend to be followed by reversing changes). As predicted, investors overreacted to changes that were preceded by many continuations, and underreacted to changes that were preceded by many reversals. We conclude that regime-shifting models can provide a useful framework for understanding market anomalies, including underreactions to earnings changes and overreactions to long-term earnings trends.
Increasing deaths from opioid analgesics in the United States

Since 1990, numerous jurisdictions in the United States (US) have reported increases in drug poisoning mortality. During the same time period, the use of opioid analgesics has increased markedly as part of more aggressive pain management. This study documented a dramatic increase in poisoning mortality rates and compared it to sales of opioid analgesics nationwide.
A variational inequality for discontinuous solutions of degenerate parabolic equations

The Beltrami framework for image processing and analysis introduces a non-linear parabolic problem, called in this context the Beltrami flow. We study in the framework for functions of bounded variation, the well-posedness of the Beltrami flow in the one-dimensional case. We prove existence and uniqueness of the weak solution using lower semi-continuity results for convex functions of measures. The solution is defined via a variational inequality, following Temam’s technique for the evolution problem associated with the minimal surface equation. Una desigualdad variacional para soluciones discontinuas de ecuaciones parabolicas degeneradas Resumen. El contexto de Beltrami para el proceso y analisis de imagenes introduce un problema parabolico no lineal denominado “flujo de Beltrami”. En este articulo panoramico mostramos como el flujo de Beltrami unidimensional esta bien planteado en el marco de las funciones de variacion acotada. Obtenemos la existencia y unicidad de soluciones debiles usando resultados sobre la semicontinuidad inferior para funciones convexas de medidas. Definimos la solucion va una inecuacin variacional, siguiendo la tecnica de Temam para el problema de evolucion asociado a la ecuacion de superficies minimas.
Design of Monolithic Integrated Lumped Transformers in Silicon-based Technologies up to 20 GHz

Monolithic integrated lumped planar transformers have several advantages when using them in power amplifiers, mixers, oscillators and other radio frequency circuits. But, up to now there was no way to get an accurate prediction and model of the electrical characteristic of on-chip transformers. For the first time this work presents the modeling and model verification of integrated lumped planar transformers in silicon which have excellent performance characteristics in the 1-20 GHz frequency range. A new method for characterization of monolithic lumped planar transformers is proposed in this work. The metallization of a semiconductor process defines the possibilities for transformer design. Planar and layer construction of common monolithic lumped transformers and its optimization techniques are considered in detail. A lumped loworder equivalent circuit is presented which results from the transformer geometries. The aim of precise and fast transient analysis of RF circuits using monolithic transformers was reached with the compact lumped low order model which consists of 24 elements. The model gives accurate prediction of the electrical behavior and ensures fast transient analysis. An excellent prediction accuracy is achieved. Background details about extraction of all elements used in the equivalent circuit are given. The inductance of transformers built up from straight conductors is derived. Skin effect and current crowding cause losses in the conductors. The conductive substrate causes additional losses. Some thesis about the parasitic capacitive coupling between the windings and the substrate are presented. The parameter extraction for the equivalent circuit is based on a tool developed by the author which uses a new expression for the substrate loss and two finite element method cores. The modeling and parameter extraction of monolithic transformers has been verified by multiple transformers. In this work the measurement of two types of transformers is presented as example. The first type offers a high coupling performance up to 4 GHz. The second type of transformer offers a high self resonance frequency of 20 GHz. Measurement and simulation of the two transformers show excellent agreement. List of Abbreviations Al Aluminum CAD Computer Aided Design δ Depth of Current Penetration in [m] DECT Digital Enhanced Cordless Telecommunication DC Direct Current DUT Device Under Test εr Relative Permittivity in [1] FEM Finite Element Method fOp Operation Frequency in [Hz] GaAs Gallium-Arsenide GMD Geometric Mean Distance in [m] IC Integrated Circuit k Coupling Coefficient in [1] L Inductance in [H] λg Guided Wavelength in [m] n Turn Ratio in [1] N Number of Turns in [1] M Mutual Inductance in [H] μ Permeability in [Vs/Am] Q Quality Factor in [1] RF Radio Frequency ρ Specific Resistivity in [Ωm] σ Conductivity in [S/m] Si Silicon Si3N4 Siliconnitride SiO2 Silicondioxide VLSI Very Large Scale Integration Chapter
Bernstein inequality and moderate deviations under strong mixing conditions

In this paper we obtain a Bernstein type inequality for a class of weakly dependent random variables. The proofs lead to a moderate deviation principle for sums of bounded random variables with exponential decay of the strong mixing coefficients that complements the large deviation result obtained by Bryc and Dembo (1998) under superexponential mixing rates.
Coordinating Planning Activity and Information Flow in aDistributed Planning

Distributed SIPE (DSIPE) is a distributed planning system that provides decision support to human planners in a collaborative, continuous planning environment. The key contributions of our research on DSIPE are (1) constraint-based, consistent local views of the global plan that gives each planner a view of how other planners' subplans relate to their local planning decisions ; (2) methods for automatically identifying and sharing relevant information among distributed planning agents; and (3) techniques for merging subplans that leverage the shared subplan structure to generate a complete, nal plan. DSIPE is a fully implemented system, and has been demonstrated to end users in the maritime (U.S. Navy and U.S. Marine Corps) planning community. In this paper, we describe the DSIPE system. We present the overall architecture of the distributed planning system, describe how goals are distributed, describe the common plan view that the planning cells share, discuss how the planning cells exchange relevant information, and describe the plan merging techniques. This paper describes Distributed SIPE (DSIPE), a distributed version of the SIPE-2 1 generative classical planning system (Wilkins 1988). DSIPE provides the user with semi-automated generation of crisis response options, in the presence of multiple, competing objectives and constraints, within a distributed computing environment that includes multiple planners collabo-ratively solving the overall planning problem. All of the capabilities described in this paper are part of the current implemented system, except where noted. Our current application domain is maritime campaign planning , but the techniques are domain-independent. In the maritime planning domain, a mine warfare planning session might involve a Naval Commander (sea-borne mines), a Marine Commander (ground mines), a Mine Planning Anchor Desk, and a Logistics Anchor Desk interacting to generate an overall mission plan. Each of these planners has separate but related 1 SIPE-2: System for Interactive Planning and Execution. requirements, goals, and priorities. Although their requirements overlap for this mission, they each have independent goals (other missions to be performed or supported), capabilities, and resources. In our distributed planning environment, multiple copies of the DSIPE planner run on separate processors that are connected across a network. These distributed processes communicate with each other via message passing. 2 Each instance of DSIPE supports a human planner. We refer to the human planner as the user, to DSIPE as the planning system, and to the user and planning system together as a planning cell. Plans in DSIPE are represented as partially …
The Effect of Work Discipline, Spiritual Intelligence and Teamwork on Teacher Working Commitment in State Elementary School Subdistrict Selesai of Langkat Regency

This study aims to determine the influence of work discipline on teacher teamwork, the influence of spiritual intelligence on the teamwork, the influence of work discipline on teacher work commitment and the influence of work discipline on teacher work commitment in State Elementary School SubdistrictSelesai of Langkat Regency. The research method used is quantitative method with path analysis model. The number of respondents as many as 143 people taken with Random Proportional Sampling. Research instrument in the form of questionnaire, is data analysis through path analysis and previously there is normality data test with kai square, linearity test and regression significance with Variance Analysis at significance level α equal to 0.05. The results of this study were found there was a positive direct effect of work discipline on teamwork with path coefficient ρ31 = 0.327, and the magnitude oftheeffectis 10.7%; there is a direct influence of spiritual intelligence to teamwork with path coefficientρ32 of 0.256 and the magnitude oftheeffectis 6.2%; there is a positive direct effect of work discipline on work commitment with path coefficient ρ41 = 0.184 and the magnitude oftheeffectis 3.4%; there is a positive direct effect of spiritual intelligence on work commitment with path coefficient ρ42 = 0.144 and the magnitude oftheeffectis 2.1%; there is a positive direct effect of teamwork on work commitment with path coefficient ρ43 = 0.235 and the magnitude oftheeffectis 12.3%. The higher the influence of work discipline, spiritual intelligence, and teamwork, the higher also in affecting the work commitment of teachers of State Elementary School SubdistrictSelesai of Langkat Regency.
Is independence good for combining classifiers?

Independence between individual classifiers is typically viewed as an asset in classifier fusion. We study the limits on the majority vote accuracy when combining dependent classifiers. Q statistics are used to measure the dependence between classifiers. We show that dependent classifiers could offer a dramatic improvement over the individual accuracy. However, the relationship between dependency and accuracy of the pool is ambivalent. A synthetic experiment demonstrates the intuitive result that, in general, negative dependence is preferable.
Inhibition of the carcinogenic action of benzo(a)pyrene by flavones.

A study of the effect of feeding flavone inducers of increased benzo(a)pyrene (BP) hydroxylase activity on pulmonary adenoma formation resulting from p.o. administration of BP to A/HeJ mice has been carried out. Three flavones have been used: β-naphthoflavone, a highly potent inducer; quercetin pentamethyl ether, intermediate in inducing potency; and rutin, a weak inducer. Administration of β-naphthoflavone resulted in almost total inhibition of pulmonary adenoma formation; with quercetin pentamethyl ether approximately 50% inhibition occurred, and with rutin there was no inhibition. In a second investigation, the effect of inducing increased BP hydroxylase activity in the skin of Ha/ICR mice on epidermal neoplasia initiated by BP was studied. Topical application of β-naphthoflavone resulted in slightly more than 50% inhibition of skin tumor formation.
Permissible Variation in the 3′ Non-Coding Region of the Haemagglutinin Genome Segment of the H5N1 Candidate Influenza Vaccine Cirus NIBRG-14

The candidate H5N1 vaccine virus NIBRG-14 was created in response to a call from the World Health Organisation in 2004 to prepare candidate vaccine viruses (CVVs) to combat the threat of an H5N1 pandemic. NIBRG-14 was created by reverse genetics and is composed of the neuraminidase (NA) and modified haemagglutinin (HA) genes from A/Vietnam/1194/2004 and the internal genes of PR8, a high growing laboratory adapted influenza A(H1N1) strain. Due to time constraints, the non-coding regions (NCRs) of A/Vietnam/1194/2004 HA were not determined prior to creating NIBRG-14. Consequently, the sequence of the primers used to clone the modified A/Vietnam/1194/2004 HA was based upon previous experience of cloning H5N1 viruses. We report here that the HA 3′ NCR sequence of NIBRG-14 is different to that of the parental wild type virus A/Vietnam/1194/2004; however this does not appear to impact on its growth or antigen yield. We introduced additional small changes into the 3′NCR of NIBRG-14; these had only minor effects on viral growth and antigen content. These findings may serve to assure the influenza vaccine community that generation of CVVs using best-guess NCR sequences, based on sequence alignments, are likely to produce robust viruses.
HER-2 / Neu Alterations in Non-Small Cell Lung Cancer : A Comprehensive Evaluation by Real Time Reverse Transcription-PCR , Fluorescence in Situ Hybridization , and Immunohistochemistry 1

Purpose: Amplification and/or overexpression of HER2/neu have been documented in many types of epithelial tumor, and HER2/neu evaluation is now gaining importance, because this mechanisms of disease can be inhibited in vivo using humanized monoclonal antibodies. The main purpose of our investigation includes the evaluation of the prevalence of HER2/neu alterations in non-small cell lung cancer (NSCLC) at different molecular levels. Experimental Design: We performed a comprehensive investigation of HER2/neu alterations in a series of 115 NSCLC, using fluorescence in situ hybridization (FISH), real time reverse transcription (RT)-PCR, and immunohistochemistry. Results: HER2/neu immunoreactivity was detected in 26 of 115 of specimens (23%), with 5 carcinomas (4%) showing intense staining. Real time RT-PCR demonstrated HER2/neu mRNA in all samples analyzed, with levels above normal in 54 of 115 of carcinomas (47%). FISH documented HER2/neu gene amplification in 9 of 41 carcinomas (22%). Conclusions: These results demonstrate that HER2/neu alterations occur in NSCLC, albeit with significantly different prevalence depending on the technical assay used for the assessment. It is therefore likely that inhibitory monoclonal antibodies will be appropriate in the treatment of a subgroup of NSCLC patients. The results suggest that other mechanisms unrelated to gene amplification could be responsible for HER2/neu mRNA or protein overexpression. FISH, real time RT-PCR, and immunohistochemistry are complementary techniques for the evaluation of HER2/neu activation, useful for the identification of the subgroup of patients to be treated. The real time RT-PCR assay is very sensitive and requires minimal amounts of tissue for testing, and additional studies should evaluate its clinical application for patient evaluation.
The Development and Maintenance of the Crl:CH!!J(SD)IGS BR Rat Breeding System

Systems for genetically standardizing inbred strains of rodents have been well documented. With the internationalization of biomedical research, it has become necessary for multi-national laboratory animal suppliers to globally standardize more commonly used non-inbred toxicology models such as the Sprague Dawley and Hanover Wistar rat stocks. This paper describes one such breeding system, the International Genetic Standard (IGS8) system to produce the Crl:CO8(SO) IGS BR and Crl:WI(Glx/BRLlHan) IGS BR rats for the
The interference of Notch1 target Hes1 affects cell growth, differentiation and invasiveness of glioblastoma stem cells through modulation of multiple oncogenic targets

The invasive and lethal nature of Glioblastoma multiforme (GBM) necessitates the continuous identification of molecular targets and search of efficacious therapies to inhibit GBM growth. The GBM resistance to chemotherapy and radiation it is attributed to the existence of a rare fraction of cancer stem cells (CSC) that we have identified within the tumor core and in peritumor tissue of GBM. Since Notch1 pathway is a potential therapeutic target in brain cancer, earlier we highlighted that pharmacological inhibition of Notch1 signalling by γ-secretase inhibitor-X (GSI-X), reduced cell growth of some c-CSC than to their respective p-CSC, but produced negligible effects on cell cycle distribution, apoptosis and cell invasion. In the current study, we assessed the effects of Hes1-targeted shRNA, a Notch1 gene target, specifically on GBM CSC refractory to GSI-X. Depletion of Hes1 protein induces major changes in cell morphology, cell growth rate and in the invasive ability of shHes1-CSC in response to growth factor EGF. shHes1-CSC show a decrease of the stemness marker Nestin concurrently to a marked increase of neuronal marker MAP2 compared to pLKO.1-CSC. Those effects correlated with repression of EGFR protein and modulation of Stat3 phosphorylation at Y705 and S727 residues. In the last decade Stat3 has gained attention as therapeutic target in cancer but there is not yet any approved Stat3-based glioma therapy. Herein, we report that exposure to a Stat3/5 inhibitor, induced apoptosis either in shHes1-CSC or control cells. Taken together, Hes1 seems to be a favorable target but not sufficient itself to target GBM efficaciously, therefore a possible pharmacological intervention should provide for the use of anti-Stat3/5 drugs either alone or in combination regimen.