Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunoisolation of pancreatic epithelial cells from endoscopic ultrasound‐guided fine needle aspirates with magnetic beads for downstream molecular application

Evaluation of pancreatic mass is routinely performed by endoscopic ultrasound‐guided fine needle aspiration (EUS‐FNA). However, molecular analyses of the tumor cells on FNA samples are limited by the significant cellular heterogeneity. The goal of the current study is to evaluate a magnetic immunoconcentration technique in isolating pancreatic epithelial cells from needle aspirates, and to demonstrate that the isolated cells could be utilized for molecular analysis.
A Scalable People-to-People Hybrid Reciprocal Recommender Using Hidden Markov Models

Most existing reciprocal recommender systems use either profile similarity or interaction similarity to recommend new matches, assuming that user preferences are static and ignoring temporal aspects of user behaviour. This paper takes a different approach, and addresses the issue of representing user preferences as dynamic. We introduce a new representation for changes in user preferences and use that representation in creating a reciprocal recommender system applied to online dating. In this paper, we develop a general framework for combining a Hidden Markov model (HMM) content-based reciprocal recommender system with collaborative filtering techniques to create a unified hybrid recommender. Additionally, a new similarity measure is introduced to rank the recommendations generated by this hybrid recommender. Moreover, we propose, design and implement a reciprocal recommender system using the suggested framework and the new similarity measure. Evaluation of this system shows that it generates better recommendations than existing systems in a time-efficient manner.
Sub-nm order fluctuation control of narrowed pitch 2K-GxL™ device for high contrast

We developed a novel 2K vertical resolution device, the 2K-GxL device, for a super real projector, which enabled ribbon pitch to be miniaturized and the contrast ratio to be high simultaneously. Shrinking the ribbon pitch from 4.25 µm from that of previous 1K-GxL device to 3.00 µm was done by introducing a tapered structure to the step region. A high device contrast ratio of 77000 was achieved by suppressing the fluctuation of ribbon height to under 0.32 nm by using the KrF lithography, and also developing a super flattened mirror.
Fargion-Synergies and tensions in child protection 1 Synergies and tensions in child protection and parent support : Insights from the Italian case

My presentation deals with an issue which, although deemed crucial, has hardly been addressed successfully to date: how to effectively protect children against harm while at the same time building cooperative relations with their parents and working as far as possible in partnership with them. I will discuss the Italian situation, but I will first place the issue in the context of two approaches to tackle child abuse and neglect. In the Western world, researchers have identified two basic models of intervention with family and children. One is centred on child protection; the other focuses on child welfare or family support (Jack, 1997; Waldfogel, 1998; Spratt, 2001; Khoo, Hyvonen, Nygren, 2002; Hearn, Pösö. Smith, White, Korpinen, 2004; Platt, 2006). I will locate Italy within these two frameworks and illustrate the tensions between child protection and child welfare. Finally, I will identify different styles of conceiving professional social work in Italy and show their connections with the two frameworks described.
Appearance DOES Matter

The effect of perceived competence on congressional elections reported by [ Todorov et al. ][1] likely reflects differences in their babyfacedness. In their Perspective, [Zebrowitz and Montepare][2] review research to support this explanation, with suggestions for future research on appearance biases. [1]: http://www.sciencemag. org/cgi/content/short/308/5728/1623 [2]: http://www.sciencemag. org/cgi/content/full/308/5728/1565
Input-to-state stability of discrete-time switched nonlinear systems

In this paper, global asymptotic stability (GAS) and input-to-state stability (ISS) for discrete-time switched nonlinear systems are investigated. Using multiple Lyapunov function method, some sufficient criteria on GAS and ISS are provided for discrete-time switched nonlinear systems. By the average dwell-time method, a sufficient condition on ISS is also obtained. Finally corresponding example is provided to illustrate the effectiveness of our results.
Gemfibrozil Inhibits Legionella pneumophila and Mycobacterium tuberculosis Enoyl Coenzyme A Reductases and Blocks Intracellular Growth of These Bacteria in Macrophages

ABSTRACT We report here that gemfibrozil (GFZ) inhibits axenic and intracellular growth of Legionella pneumophila and of 27 strains of wild-type and multidrug-resistant Mycobacterium tuberculosis in bacteriological medium and in human and mouse macrophages, respectively. At a concentration of 0.4 mM, GFZ completely inhibited L. pneumophila fatty acid synthesis, while at 0.12 mM it promoted cytoplasmic accumulation of polyhydroxybutyrate. To assess the mechanism(s) of these effects, we cloned an L. pneumophila FabI enoyl reductase homolog that complemented for growth an Escherichia coli strain carrying a temperature-sensitive enoyl reductase and rendered the complemented E. coli strain sensitive to GFZ at the nonpermissive temperature. GFZ noncompetitively inhibited this L. pneumophila FabI homolog, as well as M. tuberculosis InhA and E. coli FabI.
3 D DATA ACQUISITION BASED ON OPENCV FOR CLOSE-RANGE PHOTOGRAMMETRY APPLICATIONS

Development of the technology in the area of the cameras, computers and algorithms for 3D the reconstruction of the objects from the images resulted in the increased popularity of the photogrammetry. Algorithms for the 3D model reconstruction are so advanced that almost anyone can make a 3D model of photographed object. The main goal of this paper is to examine the possibility of obtaining 3D data for the purposes of the close-range photogrammetry applications, based on the open source technologies. All steps of obtaining 3D point cloud are covered in this paper. Special attention is given to the camera calibration, for which two-step process of calibration is used. Both, presented algorithm and accuracy of the point cloud are tested by calculating the spatial difference between referent and produced point clouds. During algorithm testing, robustness and swiftness of obtaining 3D data is noted, and certainly usage of this and similar algorithms has a lot of potential in the real-time application. That is the reason why this research can find its application in the architecture, spatial planning, protection of cultural heritage, forensic, mechanical engineering, traffic management, medicine and other sciences. * Corresponding author
A 0.65-1.35 GHz synthesizable all-digital phase locked loop with quantization noise suppressing time-to-digital converter

: This paper presents a new quantization noise suppression method for a time-to-digital converter (TDC) and proposes an all-digital phase-locked loop (ADPLL) architecture using only standard cell logic gates. Using a new multiple input multiple output (MIMO) quantization noise suppression method provides an order of p 2 N improvement in TDC resolution with N parallel TDC channels. Suppressed noise in the TDC allows the ADPLL to achieve superior jitter performance in both theoretical calculations and simulation results. In order to allow fast portability between process nodes, short design cycle time, ease of modi(cid:12)cation, and (cid:13)exibility, ADPLL architecture is designed completely in register transfer level intensive Verilog code and the implementation is synthesized in order to obtain (cid:12)nal microelectronic design schematics. In comparison to similar work in the literature, postlayout simulation results show that the designed ADPLL achieves period jitter of 1.78 ps rms with a layout area of 0.09 mm 2 in 65 nm CMOS process and power consumption of 17.5 mW at 800 MHz.
Future trend of deep learning frameworks — From the perspective of big data analytics and HPC

Deep learning is becoming more and more important in many areas including signal processing, because of its high recognition accuracy and interesting applications built on top of the models. There is no doubt that deep learning frameworks played an important role for its popularization; they made it easy to utilize deep learning by hiding the detailed implementation of the algorithms including utilization of accelerators like GPU. On the other hand, there have been Big Data analytics frameworks for classical machine learning like Hadoop and Spark. In addition, there also have been many researches in the field of HPC middleware, whose workload is similar to that of deep learning. In this paper, we discuss such frameworks and middleware including their targeted workloads and tradeoffs, and also discuss the future trend of deep learning frameworks including our preliminary proposal.
A Soft Four Degree-of-Freedom Load Cell Based on the Hall Effect

This paper presents the design of a soft four degree-of-freedom load cell that is robust and light-weight and can be integrated into robotic applications. The sensor measures three axes of force and a single axis of torque about the central axis. The sensor is comprised of a magnet suspended within an elastomer above two three-axis Hall effect sensors. As a load is applied, the magnet is displaced within the elastomer that results in changes in the magnetic flux density at the locations of the two Hall effect sensors. Experimental measurements of magnetic flux density within the area of interest were used to formulate analytical expressions to relate magnet field strength to the position of the magnet. The displacement and orientation measurements combined with the material properties of the elastomer are used to calibrate and calculate the applied load. The ability to measure the three degrees-of-freedom force and axial torque was evaluated with combined loading applied by a robotic arm. The decoupled results show the four degree-of-freedom load cell can distinguish three axes of force and one axis of torque with 6.9% average error for normal force, 4.3% and 2.6% average error for shear force in the <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">$Y$ </tex-math></inline-formula>-axes, respectively. There was 8.6% average error for the torque.
Vehicle segmentation from remote sensing images using the small object segmentation convolutional network

In order to deal with the problem of vehicle segmentation from remote sensing images, a specific deep neural network (Small Object Segmentation Convolutional Network, SOCN) is proposed in this paper. The network is comprised of different sized convolutional kernels and it has no pooling layer since the object for segmentation is of small size. The network is divided into four modules: nonlinear mapping module, feature extraction module, combination module and identification module. The results show that the network performs well with high accuracy of segmentation and a high intersection over union, which demonstrates that the network is effective in small object segmentation. Besides, the Convolutional-Averagepooling-Upsampling(CAU) is conducted in the network so as to ensure a large increase in intersection over union with the accuracy of segmentation unchanged.
Application of the FRFT to distortion analysis in transmultiplexers

In this paper, a fractional Fourier transform (FRFT) based technique for the elimination of amplitude and phase distortions in the transmultiplexer (TMUX) is presented. The core elements of the TMUX, the synthesis and analysis filter banks cause amplitude and phase changes due to the filtering operations in the filter banks thereby altering the perfect reconstruction property. This study investigates a new approach to transmultiplexer design in the processing of the nonstationary signals.
Characterizing WR-8 waveguide-to-CPW probes using two methods implemented within the NIST Uncertainty Framework

We individually characterize and provide uncertainties for a pair of WR-8 rectangular waveguide-to-coplanar waveguide (CPW) probes over a frequency range of 90 to 140 GHz utilizing two methods implemented within the NIST Microwave Uncertainty Framework. The first method consists of a two-tier approach, where a vector network analyzer (VNA) calibration is first performed in rectangular waveguide, and then a second-tier calibration is performed on-wafer. The second method determines the scattering parameters of the probes from two one-tier calibrations. We show that the two methods yield nearly equivalent results and uncertainties.
Actions of progesterone on uterine immunosuppression and endometrial gland development in the uterine gland knockout (UGKO) ewe

In ewes, the uterine gland knockout (UGKO) phenotype is caused by neonatal exposure to norgestomet to arrest uterine gland development and produce an adult which has a uterus characterized by the lack of endometrial glands. Since endometrial glands in the sheep produce the lymphocyte‐inhibitory protein, ovine uterine serpin (OvUS), an experiment was conducted with ewes of the UGKO phenotype to evaluate whether the inhibitory actions of progesterone on tissue rejection responses in utero are dependent upon the presence of endometrial glands. Control and UGKO ewes were ovariectomized and subsequently treated with either 100 mg/day progesterone or corn oil vehicle for 30 days. An autograft and allograft of skin were then placed in each uterine lumen and treatments were continued for an additional 30 days before grafts were examined for survival. All autografts survived and had a healthy appearance after histological analysis. Allografts were generally rejected in ewes treated with vehicle but were present for hormone‐treated ewes, regardless of uterine phenotype. Analysis of the histoarchitecture and protein synthetic capacity of the uterus revealed that progesterone induced differentiation of endometrial glands and synthesis and secretion of OvUS in UGKO ewes. The UGKO ewes had reduced density of CD45R+ lymphocytes in the endometrial epithelium and there was a tendency for progesterone to reduce this effect in luminal epithelium. Taken together, results confirm the actions of progesterone to inhibit graft rejection response in utero. Responses of UGKO ewes to progesterone indicate that the hormone can induce de novo development and differentiation of endometrial glands, at least when skin grafts are in the uterus. Mol. Reprod. Dev. © 2005 Wiley‐Liss, Inc.
Multitransform applications for representing 3-D spatial and spatio-temporal signals

A novel technique, for the representation of three-dimensional signals employing constrained sets of basis functions of two or more transforms, is presented. The signal is split into subsignals, each of which is represented by the dominant components of a transform, whose basis functions closely approximate the subsignal. The residual error, which is the difference between the original and the reconstructed signal is properly formulated. An adaptive algorithm is developed to minimize this error and to maximize the signal to noise ratio (SNR) of the reconstructed signal for a fixed number of transform components. Simulations are presented to represent spatio-temporal signals as well as 3-D spatial signals by superimposing subsets from the DCT and Walsh transforms. It is shown that the proposed technique yields superior results in comparison with the single transform approach. An efficient possible coding strategy is also proposed for the transform coefficients.
Giant Steps in Jazz Practice with Social Virtual Band

This chapter deals with the issue of learning how to improvize. Traditional MOOCs provide jazz students with comprehensive theoretical and motivate students to practice intensively on their own. However, without a view of one’s progress, and without feedback, individual practice is a long and winding road along which many students get lost. Indeed, most jazz learning systems lack these two crucial ingredients, resulting in high drop-out rates. This chapter addresses the issue of designing tools for supporting improvisation practice by bringing in a social dimension enabling peer-to-peer feedback, as well as a cloud-based infrastructure enabling arbitrary vizualisations of the evolution of the student performance. We introduce Social Virtual Band, a system that lets learners improvize solos on dynamically created accompaniments, and that records and archives all the training sessions along with the provided accompaniments on the cloud. Simple automatic feedback is presented to measure the evolution of his skills, based on a comparison between played note with scales obtained from automatic harmonic analysis. We describe the overall infrastructure underlying such a tool and discuss how such infrastructure opens up new possibilities for learning music.
The Person as a Focus for Research – The Contributions of Windelband, Stern, Allport, Lamiell, and Magnusson

At the end of the 19 th century, Wilhelm Windelband proposed a distinction between nomothetic and idiographic research, which became highly relevant for the discussion of the nature of psychological science. During the 20 th century, a number of writers (including William Stern, Gordon Allport, James Lamiell and David Magnusson) have criticized the focus on variables rather than persons, and populations rather than individuals, which has characterized much of psychological research. As a corrective, they have argued for the importance of various forms of idiographic or person-oriented research. The main purpose of this paper is to describe and discuss some of the arguments put forward by these writers, both with regard to their conceptualization of the person and with regard to how they picture idiographic or person-oriented research. A preliminary classification is suggested of different varieties of idiographic and person-oriented research, which differ in terms of how they relate to nomothetic research, and whether they focus on variables or on patterns. It is suggested that the contrast between variable- and person-oriented research may be dissolved into two different contrasts: (a) individual- versus popu- lation-focused research, and (b) variable- versus pattern-focused research.
Metabolism of Women During the Reproductive Cycle

in so far as it can be calculated. The results are presented chron-ologically for each subject. In two cases the series of observations were begun in a late lactation and were followed by balances in a complete reproductive cycle; in the third case the observations were made progressively through gestation, lactation, and post lactation.
Massively parallel computation of 3D flow and reactions in chemical vapor deposition reactors

Computer modeling of Chemical Vapor Deposition (CVD) reactors can greatly aid in the understanding, design, and optimization of these complex systems. Modeling is particularly attractive in these systems since the costs of experimentally evaluating many design alternatives can be prohibitively expensive, time consuming, and even dangerous, when working with toxic chemicals like Arsine (AsH{sub 3}): until now, predictive modeling has not been possible for most systems since the behavior is three-dimensional and governed by complex reaction mechanisms. In addition, CVD reactors often exhibit large thermal gradients, large changes in physical properties over regions of the domain, and significant thermal diffusion for gas mixtures with widely varying molecular weights. As a result, significant simplifications in the models have been made which erode the accuracy of the models` predictions. In this paper, the authors will demonstrate how the vast computational resources of massively parallel computers can be exploited to make possible the analysis of models that include coupled fluid flow and detailed chemistry in three-dimensional domains. For the most part, models have either simplified the reaction mechanisms and concentrated on the fluid flow, or have simplified the fluid flow and concentrated on rigorous reactions. An important CVD research thrust has been inmore » detailed modeling of fluid flow and heat transfer in the reactor vessel, treating transport and reaction of chemical species either very simply or as a totally decoupled problem. Using the analogy between heat transfer and mass transfer, and the fact that deposition is often diffusion limited, much can be learned from these calculations; however, the effects of thermal diffusion, the change in physical properties with composition, and the incorporation of surface reaction mechanisms are not included in this model, nor can transitions to three-dimensional flows be detected. « less
Remote plasma chemical vapor deposition for high-efficiency ultra-thin ∼25-microns crystalline Si solar cells

For the first time, a remote plasma chemical vapor deposition (RPCVD) based c-Si/a-Si heterojunction solar cell process was developed on thin crystalline silicon semiconductor-on-metal (SOM) substrate. In RPCVD systems, deposition temperature, deposition rate, and the distance of the sample from the plasma source can be varied to minimize the surface damage and enhance passivation quality. A silicon heterojunction (HJ) cell without intrinsic a-Si layer passivation was fabricated on an exfoliated ∼25µm c-Si SOM foil, with an efficiency of 13.4% and open-circuit voltage of 645mV. Losses in these devices were analyzed by numerical simulations and optimum device structure was designed and performance predicted.
Methods and applications for electricity demand disaggregation in developing countries

Electricity demand disaggregation describes the identification of appliance level loads from aggregate power measurements. This topic is widely researched, but the majority of projects focus on grid connected customers with strong connections and many loads; however, there are numerous applications for disaggregation in the intelligent, off-grid systems emerging in developing countries. In this paper, we describe an established electricity demand disaggregation method, the Hidden Semi-Markov Model (HSMM), present results using this method to dissagregate demand data from a real microgrid in Kenya, and discuss applications for disaggregation in developing countries.
The classification of SSH tunneled traffic using maximum likelihood classifier

Secure SHell(SSH) [1] provides TCP/IP port forwarding for any Application-layer protocols. It is useful in protecting the privacy of users, but it can lead to the illegal use of some forbidden protocols. Because of the encryption, the Deep Payload Inspection (DPI) technique is ineffective in classifying the network traffic. This paper introduces how to employ the statistical pattern recognition method, Maximum Likelihood Classification [2, 3], to classify the SSH tunneled traffic, i.e. to decide which protocols is tunneled in the encrypted tunnels. It is very important to find out the boundary of a tunneled flow in processing the originate data. So we proposed a method for detecting the boundaries of SSH tunneled traffic.