Miracle-dz/UniFAR-FTUs huggingface dataset:
Examplar-based Image Inpainting and Approaches to Improve the Performance

Image inpainting is the process of filling in missing regions in an image. The objective of inpainting is to reconstruct the missing regions in a visually plausible way. Several algorithms are available in the literature for the same. In this paper we introduce a two different approaches to improve the performance of exemplar based Image Inpainting Algorithm. Both the algorithms are based on patch propagation by inwardly propagating the image patches from the source region into the interior of the target region patch by patch. In the first approach of exemplar-based image inpainting a simple patch shifting scheme is used. In traditional exemplarbased inpainting errors often occur when small number of known pixels are used to present a large unknown area. The patch shifting scheme provides more meaningful target patch than traditional exemplar-based approach. In this scheme, the target patch which has known pixels less than predefined threshold would be shifted in the direction that increases the number of known pixels. This means the chance to filling-in each patch more naturally is increasing. The second approach of exemplar-based image inpainting algorithm uses region segmentation. The method uses segmentation map to improve the performance of robust inpainting, in which a segmentation method is used to utilize spatial information in the source region. With the segmentation map, it adaptively determines patch size, and reduces search region.
Multiple Kernel Clustering

Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel-induced feature space and then performs clustering by finding the maximum margin hyperplane over all possible cluster labelings. As in other kernel methods, choosing a suitable kernel function is imperative to the success of maximum margin clustering. In this paper, we propose a multiple kernel clustering (MKC) algorithm that simultaneously finds the maximum margin hyperplane, the best cluster labeling, and the optimal kernel. Moreover, we provide detailed analysis on the time complexity of the MKC algorithm and also extend multiple kernel clustering to the multi-class scenario. Experimental results on both toy and real-world data sets demonstrate the effectiveness and efficiency of the MKC algorithm.
Physical and Gas Permeation Properties of a Series of Novel Hybrid Inorganic-Organic Composites Based on a Synthesized Fluorinated Polyimide

A series of hybrid inorganic-organic composites were fabricated from a functionalized fluorinated polyimide and tetraethoxysilane (TEOS), tetramethoxysilane, methyltrimethoxysilane (MTMOS), and phenyltrimethoxysilane (PTMOS) employing the sol-gel process. Polyimides were synthesized from 4,4'-hexafluoroisopropylidene dianiline (6FpDA) and 4,4'-hexafluoroisopropylidenediphthalic anhydride (6FDA) utilizing a solution imidization technique. The hybrid materials were synthesized by in-situ sol-gel processing of the aforementioned alkoxides and a fully imidized polyimide that was functionalized with 3-aminopropyltriethoxysilane. The gas permeability, diffusivity, and selectivity were evaluated for He, O2, N2, CH4, and CO2, while the physical properties of these hybrid materials were evaluated using several analytical techniques. The results from this study revealed that gas transport and physical properties were dependent on the type of alkoxide employed in the hybrid inorganic-organic material. Gas permeability was observed to increase with increasing gas penetrant size for MTMOS and PTMOS based hybrids, while TEOS based hybrids decreased gas permeability at all compositions. In general, MTMOS based hybrid materials had the largest increases in permeability, which was attributed to an increase in free volume. The TEOS based hybrid materials had the largest decreases in permeability, while PTMOS based hybrid materials had performance in between these alkoxides. Decreased permeability for the TEOS
Laboratory Diagnosis of Sepsis? No SIRS, Not Just Yet

ABSTRACT In order to maximize the benefit of prompt antimicrobial therapy and avoid the risk associated with inappropriate use of antimicrobial agents, patients with suspected sepsis must be rapidly differentiated from patients with systemic inflammatory response syndrome (SIRS). In combination with standard microbiological testing, a number of biomarkers have been recently evaluated for this purpose, and the performance characteristics of the most promising of these are reviewed.
Imaging to single virus by using surface plasmon polariton scattering

An approach to image the single virus by using Surface Plasmon Polariton Scattering was presented, which is potential for application in the fast, in-situ virus detection in water environment. Polarized by Surface Plasmon Polaritons, the nanoparaticle emits Surface Plasmon Polariton Scattering and interferes with the incident Surface Plasmon Polaritons, which is easy to be detected. The imaging to Surface Plasmon Polariton excitation was implemented. Meanwhile, the imaging to single 39 nm polystyrene nanoparticle and single T4 phage virus by using the Surface Plasmon Polariton Scattering was obtained. Both the imaging and the accurate counting of single virus can be obtained by using this method.
Psychiatric Disorders in a Sample of Egyptian Preschool Children

Studies of childhood psychiatric disorders have been primary based on school age children. This study reports on a series of 100 preschool children (aged 4-6 years) presented for consultation, evaluation and treatment to a child psychiatry clinic. Diagnoses were assigned according it DSM-ILI-R. The Arabic version of the Child Behavior Checklist (CBCL) was used to describe the behavioral problems, in addition to a clinical interview. Results showed that Attention Deficit Hyperactivity Disorder (54%) was the most common psychiatric diagnosis followed by Functional Entries (29%), Undifferentiated Attention Deficit Disorder (16%), and Disruptive Behavior Disorder (10) on Axis I. Specific Developmental Disorders (84%) and Mental Retardation (27%) represented the most common A x i s 4 diag-
A PUF-Based Secure Communication Protocol for IoT

Security features are of paramount importance for the Internet of Things (IoT), and implementations are challenging given the resource-constrained IoT setup. We have developed a lightweight identity-based cryptosystem suitable for IoT to enable secure authentication and message exchange among the devices. Our scheme employs a Physically Unclonable Function (PUF) to generate the public identity of each device, which is used as the public key for each device for message encryption. We have provided formal proofs of security in the Session Key Security and Universally Composable Framework of the proposed protocol, which demonstrates the resilience of the scheme against passive and active attacks. We have demonstrated the setup required for the protocol implementation and shown that the proposed protocol implementation incurs low hardware and software overhead.
Establishment of three novel human malignant pleural mesothelioma cell lines: morphological and cytogenetical studies and EGFR mutation status.

UNLABELLED The incidence of mesothelioma is estimated to rise sharply worldwide, including Japan, in the next two decades. Molecular and proteomic studies are urgently required to elucidate the pathobiology of malignant mesothelioma. This paper describes the characterization of novel human malignant pleural mesothelioma cell lines representing the sarcomatoid, epithelioid and biphasic subtypes. MATERIALS AND METHODS Established pleural effusion fluid cell lines were observed using phase-contrast microscopy and transmission electron microscopy. The immunoreactivity of the cells was evaluated using immunohistochemistiy, FACS analysis and Western blotting. The expression of SV40 large cell antigen and the EGFR mutation status were also analyzed. RESULTS The cell lines had different morphological and immunophenotypic characteristics. All cell lines showed immunophenotypic marker expression of vimentin, mesothelin and N-cadherin, but no expression of CEA or E-cadherin. At the electron microscopic level, a cell surface rich in microvilli confirmed mesothelial origin of the cell lines. Karyotype analyses showed complex abnormalities in all cell lines. Neither EGFR mutations relevant to tyrosine kinase inhibitor responsiveness nor the expression of SV40 large cell antigen was detected in any of the cell lines. CONCLUSION FACS analysis is more sensitive for evaluating mesothelin expression than immunohistochemistry of cut specimens. Irrespective of the expression of EGFR on FACS analysis, no EGFR mutation was detected. These three cell lines may be useful for studying cellular, molecular and genetic aspects of mesothelioma.
Impurity Expulsion From a Bose-Einstein Condensate

When a sizable, hard-sphere-like impurity is placed in a trapped Bose-Einstein condensate, it will create a hole in the condensate wave function. Since it costs more energy to drill a hole at the wave function's maximum (near the trap center) than at its minimum (near the trap edge), the impurity will be expelled from the condensate. This suggests that C-60 molecules freely falling through a condensate of atomic hydrogen may be deflected by a radial acceleration comparable to g. The scattered fullerenes would then form a characteristic banded density pattern outside of the trap. The detection of these deflected molecules can be used to identify the onset of Bose-Einstein condensation.
Schizophrenia Detection and Classification by Advanced Analysis of EEG Recordings Using a Single Electrode Approach

Electroencephalographic (EEG) analysis has emerged as a powerful tool for brain state interpretation and diagnosis, but not for the diagnosis of mental disorders; this may be explained by its low spatial resolution or depth sensitivity. This paper concerns the diagnosis of schizophrenia using EEG, which currently suffers from several cardinal problems: it heavily depends on assumptions, conditions and prior knowledge regarding the patient. Additionally, the diagnostic experiments take hours, and the accuracy of the analysis is low or unreliable. This article presents the “TFFO” (Time-Frequency transformation followed by Feature-Optimization), a novel approach for schizophrenia detection showing great success in classification accuracy with no false positives. The methodology is designed for single electrode recording, and it attempts to make the data acquisition process feasible and quick for most patients.
A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies

Most computational story generation systems lack the ability to generate new types of imaginary objects that play functional roles in stories, such as lightsabers in Star Wars. We present an algorithm that generates such imaginary objects, which we call gadgets, in order to extend the ontological expressivity of existing, planning-based story generation systems. The behavior of a gadget is represented as a plan including typical events that happen when the gadget is used. Our algorithm creates gadgets by extrapolating and merging one or more commonly known objects in order to achieve a narrative goal provided by an existing story generator. We extend partial-order planning to establish open conditions based on analogies between concepts related respectively to common objects and the gadget. We show the algorithm is capable of generating gadgets created by human.
Study of speckle-field dynamics scattered by surface of concrete during congelation

Thorough description of diaphragm size selection for detecting the intensity of laser beam scattered on surface of congelating cement was given. Also fluctuations of speckle-field and its connection with square derivative of intensity were investigated. Analysis was based on CCD images of speckle-field dynamics in process of cement hydratation.
The monetary policy debate since October 1979: lessons for theory and practice

Monetary theory and policy have been revolutionized in the two decades since October 1979, when the Federal Reserve under the leadership of Paul Volcker moved to stabilize inflation and bring it down. On the side of practice, the decisive factor was the demonstration that monetary policy could acquire and maintain credibility for low inflation, and improve the stability of both inflation and output relative to potential. On the theory side, the introduction of rational expectations was decisive because it enabled models of monetary policy to incorporate forward-looking elements of aggregate demand and price-setting, long known to be critically important for policy analysis, so as to understand how monetary policy achieved the favorable results found in practice.
Stacked Local Predictors for Large-Scale Point Cloud Classification

Many modern 3D range sensors, such as a Velodyne or Kinect, generate on the order of one million data points per second. For purposes of real-time semantic scene understanding, care must be made for efficient algorithms that not only run adequately fast, but also make the best use of the large amounts of data available. In this paper, I propose a novel point cloud classification scheme that 1) can be trained in a Map-Reduce framework and 2) allows real-time inference on commodity hardware. This method of training and classification makes the algorithm suitable for training on large amounts of labeled point cloud data and fast classification on new data during run-time. The algorithm works by segmenting feature space using random projections (Locality Sensitive Hashing) and training local classifiers. A separate contexual classifier is then run on neighbors in Euclidean space as a meta-learning procedure (stacking). The end result is a fast algorithm that outperforms the current state-of-the-art on a million point benchmark dataset.
A Compact Hepta-Band Loop-Inverted F Reconfigurable Antenna for Mobile Phone

A folded loop-inverted F reconfigurable antenna for mobile phone applications is designed and the obtained results are discussed in this communication. It is shown that loop antenna mode and an inverted F antenna (IFA) mode are controlled by only one p-i-n diodes with simple bias circuit. The impedance can be matched by adopting a matching bridge for both the loop and IFA modes. In a compact volume of 60 × 5 × 5 mm3, the proposed antenna operates in hepta-band, including GSM850, GSM900, GPS, DCS, PCS, UMTS and WLAN, with the return loss lower than 6 dB. A prototype of the proposed antenna is fabricated, measured, and obtained results including return loss, efficiency and gain, are presented.
Calcium/calmodulin‐signaling supports TRPV4 activation in osteoclasts and regulates bone mass

Osteoclast differentiation is critically dependent on calcium (Ca2+) signaling. Transient receptor potential vanilloid 4 (TRPV4), mediates Ca2+ influx in the late stage of osteoclast differentiation and thereby regulates Ca2+ signaling. However, the system‐modifying effect of TRPV4 activity remains to be determined. To elucidate the mechanisms underlying TRPV4 activation based on osteoclast differentiation, TRPV4 gain‐of‐function mutants were generated by the amino acid substitutions R616Q and V620I in TRPV4 and were introduced into osteoclast lineage in Trpv4 null mice to generate Trpv4R616Q/V620I transgenic mice. As expected, TRPV4 activation in osteoclasts increased the number of osteoclasts and their resorption activity, thereby resulting in bone loss. During in vitro analysis, Trpv4R616Q/V620I osteoclasts showed activated Ca2+/calmodulin signaling compared with osteoclasts lacking Trpv4. In addition, studies of Trpv4R616Q/V620I mice that lacked the calmodulin‐binding domain indicated that bone loss due to TRPV4 activation was abrogated by loss of interactions between Ca2+/calmodulin signaling and TRPV4. Finally, modulators of TRPV4 interactions with the calmodulin‐binding domain were investigated by proteomic analysis. Interestingly, nonmuscle myosin IIa was identified by liquid chromatography–tandem mass spectroscopy (LC‐MS/MS) analysis, which was confirmed by immunoblotting following coimmunoprecipitation with TRPV4. Furthermore, myosin IIa gene silencing significantly reduced TRPV4 activation concomitant with impaired osteoclast maturation. These results indicate that TRPV4 activation reciprocally regulates Ca2+/calmodulin signaling, which involves an association of TRPV4 with myosin IIa, and promotes sufficient osteoclast function. © 2012 American Society for Bone and Mineral Research.
Species-Specific, Nested PCR-Restriction Fragment Length Polymorphism Detection of Single Cryptosporidium parvum Oocysts

ABSTRACT Concurrent with recent advances seen with Cryptosporidium parvum detection in both treated and untreated water is the need to properly evaluate these advances. A micromanipulation method by which known numbers of C. parvum oocysts, even a single oocyst, can be delivered to a test matrix for detection sensitivity is presented. Using newly developed nested PCR-restriction fragment length polymorphism primers, PCR sensitivity was evaluated with 1, 2, 3, 4, 5, 7, or 10 oocysts. PCR detection rates (50 samples for each number of oocysts) ranged from 38% for single oocysts to 92% for 5 oocysts, while 10 oocysts were needed to achieve 100% detection. The nested PCR conditions amplified products from C. parvum,Cryptosporidium baileyi, and Cryptosporidium serpentis but no other Cryptosporidium sp. or protozoan tested. Restriction enzyme digestion with VspI distinguished between C. parvum genotypes 1 and 2. Restriction enzyme digestion with DraII distinguishedC. parvum from C. baileyi and C. serpentis. Use of known numbers of whole oocysts encompasses the difficulty of liberating DNA from the oocyst and eliminates the standard deviation inherent within a dilution series. To our knowledge this is the first report in which singly isolatedC. parvum oocysts were used to evaluate PCR sensitivity. This achievement illustrates that PCR amplification of a single oocyst is feasible, yet sensitivity remains an issue, thereby illustrating the difficulty of dealing with low oocyst numbers when working with environmental water samples.
Modelling of hole transport in a small-molecule organic material assuming carrier heating in a Gaussian density of states

A modelling approach for carrier transport in a Gaussin density of states is presented which takes into account that the energetic distribution of carriers moving via Miller-Abrahams rates is affected by an electric field. This reorganisation of the energetic carrier distribution can be described by virtual carrier heating to an effective temperature. We show that combining this approach with an existing percolation model reproduces the field dependence found in computer studies in literature for uncorrelated Gaussian disorder. Comparing to our experimental results, we also demonstrate that the parameterizations from these publications do not hold at low temperatures. We produced samples of 4,4′,4″-tris-(2-methylphenyl phenylamino)triphenylamine (m-MTDATA) doped into N,N'- diphenyl-N,N'-bis(1-naphthylphenyl)-1,1'-biphenyl-4,4'-diamine (NPB) in the ratio 1:1 with four different thicknesses from 50 nm to 400 nm and measured the IV curves in a temperature range from T=77 K to 346 K. We successfully demonstrate a unified simulation of the samples’ IV characteristics over the entire temperature range under the assumption of carrier heating, which is not possible with published models for correlated and uncorrelated Gaussian disorder.
CyclopsRing: Enabling Whole-Hand and Context-Aware Interactions Through a Fisheye Ring

This paper presents CyclopsRing, a ring-style fisheye imaging wearable device that can be worn on hand webbings to en- able whole-hand and context-aware interactions. Observing from a central position of the hand through a fisheye perspective, CyclopsRing sees not only the operating hand, but also the environmental contexts that involve with the hand-based interactions. Since CyclopsRing is a finger-worn device, it also allows users to fully preserve skin feedback of the hands. This paper demonstrates a proof-of-concept device, reports the performance in hand-gesture recognition using random decision forest (RDF) method, and, upon the gesture recognizer, presents a set of interaction techniques including on-finger pinch-and-slide input, in-air pinch-and-motion input, palm-writing input, and their interactions with the environ- mental contexts. The experiment obtained an 84.75% recognition rate of hand gesture input from a database of seven hand gestures collected from 15 participants. To our knowledge, CyclopsRing is the first ring-wearable device that supports whole-hand and context-aware interactions.
Performance Evaluation of Multi-Core Multi-Cluster Architecture (MCMCA)

A multi-core cluster is a cluster composed of numbers of nodes where each node has a number of processors, each with more than one core within each single chip. Cluster nodes are connected via an interconnection network. Multi-cored processors are able to achieve higher performance without driving up power consumption and heat, which is the main concern in a single-core processor. A general problem in the network arises from the fact that multiple messages can be in transit at the same time on the same network links. This paper considers the communication latencies of a multi-core multi-cluster architecture will be investigated using simulation experiments and measurements under various working conditions
Data Allocation in Distributed Data Base in the Network Using Modularization Algorithm

ABSTRACT— Data allocation issue is one of the significant and essential discussions in distributed data base systems. In these systems, operators are located in different places and have to get access to a joint data base. These data have been distributed within the network. Many models have been designed in order to resolve this problem. Also, some algorithms are devised for the purpose of decreasing data transferring expense and decreasing the time of responding. The most important expense belongs to data transferring. This cost equals to a query’s access to the required data from different sites to the place in which the query has been produced. In this article, we deal with modularization algorithms which make data transferring expense reduce during a query execution. These algorithms accomplish this by optional modularization of the sites in which the data are located.
A New Proportional Controller for Nonlinear Bilateral Teleoperators

Abstract One of the major breakthroughs in the problem of control of bilateral teleoperators with guaranteed stability properties has been the use of scattering signals to transform the transmission delays into a passive transmission line. Under the reasonable assumption that the human operator and the contact environment define passive (force to velocity) maps, stability of the overall system is then ensured. This robust and physically appealing scheme, first proposed by Anderson and Spong, has ever since dominated the field. In this paper we propose two novel teleoperation schemes, based on a simple P-Like controller. These schemes do not make use of the scattering or wave variables. Moreover, under the classical assumption of passivity of the terminal operators plus a gravity compensation term, we can ensure position coordination of the master and the slave.