Miracle-dz/UniFAR-FTUs huggingface dataset:
Java based software framework and its integration in Mobile Phones using RFID technologies

This paper portrays recent trends in Radio Frequency Identification (RFID) systems and its commercial relevance. RFID is one of the most researched and rapidly emerging technologies. With the recent technological advancements at International level, it is finding its application in various areas and has a bright future scope. We have proposed a software framework for RFID integrated mobile phones. We have proposed some of the software changes required in the system. We have shown how the OS of mobile phone can be installed with a driver to run RFID reader. We propose that a Java Platform ME package should be added to support programming for RFID reader. A system service will continuously watch over the RFID hardware for events. Standalone application made in Java can use and control the reader. Exemplary future applications and systems based on RFID and other technologies integrated with RFID mobile phones are proposed in this paper. We have discussed about applications, problems being faced by such RFID systems & their limitations in other fields in the current era. The commercial scope in the field of RFID manufacturing and research has been discussed with its integration with current technologies. We have discussed about the hardware and software limitations that may be restricting or preventing its usage or feasibility in some fields like Mobile Phones based RFID technologies. We tried to depict some of the future enhancements that may be possible in this area.
Language Acquisition in Computers

AbstractThis project explores the nature of language acquisition in computers, guided bytechniques similar to those used in children. While existing natural language processingmethods are limited in scope and understanding, our system aims to gain an under-standing of language from rst principles and hence minimal initial input. The rstportion of our system was implemented in Java and is focused on understanding themorphology of language using bigrams. We use frequency distributions and di erencesbetween them to de ne and distinguish languages. English and French texts were an-alyzed to determine a di erence threshold of 55 before the texts are considered to bein di erent languages, and this threshold was veri ed using Spanish texts. The secondportion of our system focuses on gaining an understanding of the syntax of a languageusing a recursive method. The program uses one of two possible methods to analyzegiven sentences based on either sentence patterns or surrounding words. Both methodshave been implemented in C++. The program is able to understand the structure ofsimple sentences and learn new words. In addition, we have provided some suggestionsregarding future work and potential extensions of the existing program.
Subtractive Expression Cloning Reveals High Expression of CD46 at the Blood‐Brain Barrier

A subtractive expression cloning methodology was used to identify proteins having enriched expression at the blood-brain barrier (BBB) in comparison to liver and kidney tissues. A bovine brain capillary COS-1 cell cDNA expression library was screened with a BBB-specific antiserum. This strategy revealed that the membrane cofactor protein CD46, which is a regulator of complement activation in vivo and is also a potential measles virus receptor, is highly expressed at the BBB. The selective CD46 expression in brain at the BBB was confirmed by Northern blot analysis and confocal microscopy. The finding of selective expression of CD46 at the BBB is consistent with an important role played by the microvasculature in the immune surveillance of the brain.
Global Analysis of Escherichia coli Gene Expression during the Acetate-Induced Acid Tolerance Response

ABSTRACT The ability of Escherichia coli to survive at low pH is strongly affected by environmental factors, such as composition of the growth medium and growth phase. Exposure to short-chain fatty acids, such as acetate, proprionate, and butyrate, at neutral or nearly neutral pH has also been shown to increase acid survival of E. coli and Salmonella enterica serovar Typhimurium. To investigate the basis for acetate-induced acid tolerance in E. coli O157:H7, genes whose expression was altered by exposure to acetate were identified using gene arrays. The expression of 60 genes was reduced by at least twofold; of these, 48 encode components of the transcription-translation machinery. Expression of 26 genes increased twofold or greater following treatment with acetate. This included six genes whose products are known to be important for survival at low pH. Five of these genes, as well as six other acetate-induced genes, are members of the E. coli RpoS regulon. RpoS, the stress sigma factor, is known to be required for acid tolerance induced by growth at nonlethal low pH or by entry into stationary phase. Disruption of therpoS gene by a transposon insertion mutation also prevented acetate-induced acid tolerance. However, induction of RpoS expression did not appear to be sufficient to activate the acid tolerance response. Treatment with either NaCl or sodium acetate (pH 7.0) increased expression of anrpoS::lacZ fusion protein, but only treatment with acetate increased acid survival.
P4E-5 Theoretical Analysis of Oscillations of Cells in the High Frequency Ultrasonic Field

For ultrasound applications of drug delivery and sonoporation, a more comprehensive understanding of the interaction of an individual cell in an acoustic field with cavitation bubbles of close vicinity is needed. The underlying mechanisms which cause enhanced cellular transport are not well understood; moreover, few analytical theories examine the mechanics of cell-bubble interactions. Method: In this work, we examine the cell's response and deformation induced from a nearby oscillating bubble using a shell model of the cell following an approach previously outlined. Within the shell model, the motion of the cell is composed of the motion of three components: the internal viscous fluid, the thin elastic shell and the surrounding viscous fluid. It has been demonstrated that for dipole oscillations the cell's shell is deformed due to a change in the shell area. For the quadrupole and higher order mode oscillations, the movement of the cell is determined by both moduli of the shell: shear modulus of the shell, mu, and area deformation modulus Ks. The induced deformation of the cell's membrane from a bubble's oscillation can be calculated and directly related to the membrane transport behavior. The influence of linear radial bubble oscillations are examined in detail for this initial study and potential extensions to the nonlinear regime are discussed. The relative change in the area has a maximum at frequency fK ap radicKs/(rhoa3) where a is the radius of the cell, and rho is its density.
EULERIAN FORMULATION AND LEVEL SET MODELS FOR INCOMPRESSIBLE FLUID-STRUCTURE INTERACTION

This paper is devoted to Eulerian models for incompressible fluid-structure systems. These models are primarily derived for computational purposes as they allow to simulate in a rather straight- forward way complex 3D systems. We first analyze the level set model of immersed membranes proposed in (Cottet and Maitre, Math. Models Methods Appl. Sci. 16 (2006) 415-438). We in particular show that this model can be interpreted as a generalization of so-called Korteweg fluids. We then extend this model to more generic fluid-structure systems. In this framework, assuming anisotropy, the membrane model appears as a formal limit system when the elastic body width vanishes. We finally provide some numerical experiments which illustrate this claim.
Model predictive control of biped walking with bounded uncertainties

A biped walking controller for humanoid robots has to handle together hard constraints, dynamic environments, and uncertainties. Model Predictive Control (MPC) is a suitable and widely used control method to handle the first two issues. Uncertainties on the robot imply a non-zero tracking error when trying to follow a reference motion. A standard solution for this issue is to use tighter constraints by introducing some hand tuned safety margins, for the reference motion generation to ensure that the actual robot motion will satisfy all constraints even in presence of the tracking error. In this article, we find bounds for the tracking error and we show how such safety margins can be precisely computed from the tracking error bounds. Also, a tracking control gain is proposed to reduce the restrictiveness introduced with the safety margins. MPC with these considerations ensure the correct operation of the biped robot under a given degree of uncertainties when it is implemented in open-loop. Nevertheless, the straightforward way to implement an MPC closed-loop scheme fails. We discuss the reasons for this failure and propose a robust closed-loop MPC scheme.
Efficient Embedding of Dynamic Languages in Big-Data Analytics

Over the last years several frameworks have emerged in the field of big-data analytics. Recent frameworks expose a developer-friendly API via dynamic languages such as Python. Unfortunately, the integration of dynamic languages with the parallel and distributed runtime of such frameworks is cumbersome, as it requires the integration of two or more language virtual machines via inter-process communication, introducing communication overheads and reducing the benefits of the shared memory present in modern multicore machines. In this paper we highlight the advantages of hosting multiple language runtimes in a single shared (language) virtual machine, and the possible performance gain of such an approach in the context of the Apache Spark framework.
Patient knowledge and data privacy in healthcare records system

The advancement in usage of information and communication technology has changed the operational activities of most organization in recent times. The grown in usage has contributed to the growth in the data that organizations have access to. In the past decade, the growth of these data has further given rise to research and development into computer storage devices and infrastructure. In addition the big data regime has gained the attention of the academic community as evident in scholarly journals shows. The digitalization of health records and medication notes has made individual health data more readily accessible to a wide range of users including patients, doctors, researchers, statisticians, and data scientists. However, increased accessibility of highly sensitive heath records threatens the privacy and confidentiality of patients. The main concern of database privacy in healthcare records system is mostly without the knowledge and contribution of the records owners being the patients. Most research tackles the problems of big data privacy preservation using different frame works and other solutions without involving the record owners. This paper seek the knowledge of some patients with respect to their data recorded in the healthcare system and how their privacy is secured. The paper further researched on identifying the relationship between client knowledge on data privacy and big data protection in healthcare records system. We used field survey to gather and analyze data by adopting a quantitative method. Therefor the respondent in this study were patient and record officers from multiple hospital that includes both private and public institutions. Both Pearson correlation and linear regression analysis is conducted to test the hypothesis stipulated for the purpose of this study. The study makes thrives in areas of combining computer technology and social forces to mitigate the risk propensity associated with healthcare records in healthcare institutions. It provides need direction for data privacy research but shifting the paradigm to integrate social forces and factors as an enabler of healthcare record protection. Sometime that has not been covered extensively in current studies that examine big data, data privacy and healthcare records.
Interactive and Immersive 3D Visualization for ATC

Air traffic control (ATC) is a human-dependent safety critical activity therefore the information that is made available to the human decision-maker the controller is of extreme importance. In ATC, the design of humanmachine interfaces requires particular attention, especially when a new technology is considered. To support the investigation on the applicability of the new 3D Virtual Reality technology for air traffic control, our strategy has been to establish parallel, mutually beneficial technologydriven design and human-centred evaluation approaches. The technology-driven investigation aims at exploring all features that can be offered by 3D stereoscopic visualisation and multimodal interactions technologies while the ultimate goal of the human-centred investigation is to empirically uncover the main implications derived from the adoption of 3D stereoscopic interface for ATC, with particular attention to controllers’ acceptability. This paper describes the implementation, from our technology-driven design approach, of a 3D stereoscopic system for real time visualisation and manipulation of data in air traffic control. We will discuss the modelling and 3D visualisation of specific ATC objects such as aircraft trajectories, convective weather, conflicts, etc. and the multi-modal interaction schemes associated to the controller working environment. Results of our usercentred, empirical analysis of the applicability of 3D stereoscopic technology for ATC are being published elsewhere, and are not discussed herein.
A 1.8 V 64 MHz delta-sigma modulator for wideband and multi-standard applications

This paper presents the design and implementation of a multi-standard wideband 6th-order delta-sigma modulator (DSM) operating at 1.8 V supply. The three-stage 6th-order MASH (multi-stage noise shaping) DSM is proposed for operating at five different low oversampling ratios of 4, 6, 8, 12 and 16. The DSM is implemented using switched- capacitor circuits with a sampling frequency of 64 MHz. The modulator uses 3-level quantizers in each stage and features optimized noise transfer function. The signal bandwidth achieved ranges from 2 MHz to 8 MHz with resolution of 13 bits to 8 bits respectively. The power consumption of the modulator is 27.5 mW when operating at 64 MHz. The size of the core IC is around 1 mm2 in a 0.18 mum single-poly, six-metal CMOS process.
EDI3 links choline metabolism to integrin expression, cell adhesion and spreading

Endometrial carcinoma differential 3 (EDI3) was the first member of the glycerophosphodiesterase (GDE) protein family shown to be associated with cancer. Our initial work demonstrated that endometrial and ovarian cancer patients with primary tumors overexpressing EDI3 had a higher risk of developing metastasis and decreased survival. Further analysis indicated that EDI3 cleaves glycerophosphocholine to choline and glycerol-3-phosphate, increases the levels of active PKC, and enhances the migratory activity of tumor cells. Despite these initial findings, EDI3 remained mainly uncharacterized. Therefore, to obtain an overview of processes in which EDI3 may be involved, gene array analysis was performed using MCF-7 breast cancer cells after EDI3 knockdown compared with a non-targeting control siRNA. Several biological motifs were altered, including an enrichment of genes involved in integrin-mediated signaling. More specifically, silencing of EDI3 in MCF-7 and OVCAR-3 cells was associated with reduced expression of the key receptor subunit integrin β1, leading to decreased cell attachment and spreading accompanied by delayed formation of cell protrusions. To confirm these results, we stably overexpressed EDI3 in MCF-7 cells which led to elevated integrin β1 expression associated with enhanced cell attachment and spreading - two processes critical for metastasis. In conclusion, our data provide further insight into the role of EDI3 during cancer progression.
Smoking Persistence in Europe: A Semi-Parametric Panel Data Analysis with Selectivity

We study smoking persistence, which can be due to both true state dependence and individual unobserved heterogeneity, in ten European countries. We distinguish between the two sources of persistence by using semi-parametric dynamic panel selection methods, applied to both smoking participation and cigarette consumption. We find that for both smoking decisions true state dependence is generally much smaller when unobserved individual heterogeneity is taken into account, and we also uncover large differences in true state dependence across countries. Finally, allowing for heaping in the reported number of cigarettes smoked considerably improves the fit of our model.
Improving rule processing in Postgres database management system

This paper suggests methods to improve the performance of the rule subsystem of a next-generation relational database management system, called Postgres. Specifically, it will be shown that we can decompose some rules to get further optimization. Then, we will discuss how we can handle the situation when some fields are changed from indexable to nonindexable or vice versa. Finally, it is suggested that a new command be provided so that we can change indexable characteristics of more than one field at a time.
The Multi-Dataflow Composer tool: A runtime reconfigurable HDL platform composer

Dataflow Model of Computation (D-MoC) is particularly suitable to close the gap between hardware architects and software developers. Leveraging on the combination of the D-MoC with a coarse-grained reconfigurable approach to hardware design, we propose a tool, the Multi-Dataflow Composer (MDC) tool, able to improve time-to-market of modern complex multi-purpose systems by allowing the derivation of HDL runtime reconfigurable platforms starting from the D-MoC models of the targeted set of applications. MDC tool has proven to provide a considerable on-chip area saving: the 82% of saving has been reached combining of different applications in the image processing domain, adopting a 90 nm CMOS technology. In future the MDC tool, with a very small integration effort, will also be extremely useful to create multi-standard codec platforms for MPEG RVC applications.
DESIGN AND PRECISION CONTROL OF AN MR-COMPATIBLE FLEXIBLE FLUIDIC ACTUATOR

Magnetic resonance imaging (MRI) offers many benefits to image-guided interventions, including excellent soft tissue distinction, little to no repositioning of the patient, and zero radiation exposure. The closed, narrow bore of a high field MRI scanner limits clinician access to the patient, such that an MR-compatible robot is essentially required for many potential interventions. A robotic system of this kind could additionally provide the clinician increased accuracy and more degrees of freedom within the minimally invasive context. Fluid power is an excellent type of actuation to use inside the MRI scanner, as such actuators can be designed free of magnetic and electrical components. However, there are no fluid power actuators readily available that are suitable for use in the operating room. This paper reports a compact, intrinsically safe, sterilizable fluid power actuator. Using additive manufacturing processes, the actuator was printed in a single build. Thus, it is composed of several integrated parts in a compact design. Employing an inchworm-like behavior, the linear actuator can advance or retract a needle or mechanism rod in discrete steps; thus the device is intrinsically safe. The actuator is fluid agnostic, but a pneumatic prototype is presented here with initial testing results. For the pneumatic case, sub-step positioning control has been tested using a nonlinear, modelbased controller, and the mean steady-state error was 0.025 mm. Thus this type of actuator appears to be promising solution for use in MRI-guided interventions.
Maximum a posteriori adaptation method for video semantic indexing

To manage large amount of video data, an effective search mechanism is necessary. The keyword based search system is not efficient for video data due to the lack of metadata; hence for video indexing a method called Maximum-a-posteriori (MAP) method which uses Expectation Maximization algorithm to form a universal background model (UBM) by applying all training data. MAP adaptation uses a prior knowledge of UBM model parameters to estimate parameters of every training and test data. GMM Supervectors can be generated from the adaptive mean vectors. Support Vector Machine (SVM) along with GMM supervectors is used for the classification of video. Experimental evaluation of the proposed method is done in TRECVID 2010 video dataset and the result shows that it is better, since the method uses the fusion of visual and audio features.
Early Work Histories of Urban Youth

Using a life course framework, we examine Baltimore adolescents’ paid work from ages 13 to 18 to describe (1) the start of the transition to adulthood; (2) how work interlaces with schooling; (3) how work is segmented along sociodemographic lines, and (4) how early work (at ages 13 and 14) affects later high school work (at ages 15 to 18). White youth in Baltimore more often held jobs than did African American youth, even though African Americans applied for jobs more often than did whites. Once white students started school-year work, they were more likely than were African Americans to work in every subsequent school year. At ages 13 and 14, compared to their more advantaged counterparts, more of the economically disadvantaged youngsters and those with relatively poor school records held semiskilled rather than unskilled jobs. Semiskilled (clerical, sales, craft) work at age 13 was a substantial determinant of holding a similar job at later ages (15 and 17). By age 17, however, the reverse was true; Students with better school records were more likely to hold semiskilled jobs than were students with poorer records.
Procedures for radioimmunoassay of the mouse mammary tumor virus.

A procedure for radioimmunoassay of the major glycoprotein antigen derived from murine mammary tumor virus is described. The assay is sensitive to 0.05 ng of antigen and is highly reproducible. The antigen, gp55, has been found to be group specific and will detect viruses in 13 separate mouse strains, as wel . l as from continuous cell lines. Factors affecting the assay have been examined.
Encoding relativistic potential dynamics into free evolution

The authors acknowledge funding from Basque Government grants BFI08.211, IT559-10, and IT472-10; Spanish MICINN FIS2008-05705, FIS2009- 10061, and FIS2009-12773-C02-01; QUITEMAD; EC Marie-Curie program; UPV/EHU UFI 11/55; CCQED, SOLID and PROMISCE European projects.
Current parking regulator for zero droop/overshoot load transient response

Supply voltage integrity during a load transition is a critical problem. Droop on the supply may lead to logic failures, and overshoot can reduce reliability. Voltage deviations from the nominal forces designers to apply margins in design to ensure correct operation. This paper addresses two main causes of droop/overshoot on the supply line namely the sluggish converter response and the parasitics between the converter and the load. We present current parking regulator (CPR), a voltage down-converter with almost zero droop or overshoot during a load transient along with implementation techniques to nullify the effect of the parasitics. The underlying principle involves avoiding the inductor slewing time by parking sufficient excess current in the inductor, which is available to use immediately when the need arises. The system design involves on-die, package, and PCB co-design to minimize the impact of parasitics. Measurement results show negligible droop/overshoot when the load current transitions from 0.8A to 7.5A and vice versa in 2ns with only 200nF of load capacitance on the regulated output voltage node. The design was fabricated in a 28nm CMOS technology and integrated in the same package as the load using an 8 layer substrate. It achieves a peak efficiency of 83% at 8A load current.