Miracle-dz/UniFAR-FTUs huggingface dataset:
CARBON DIOXIDE FIXATION IN THE JA-1 SARCOMA IN VITRO.

Carbox dioxide fixation studies were conducted with rapidly growing JA-1 sarcoma cells in vitro . Isotope was isolated in asparagine, aspartic acid, glutamic acid, and glutamine. Chemical degradation of these compounds suggested three sites of fixation. They were carbon dioxide condensation with ( a ) pyruvic acid, ( b ) propionyl CoA, and ( c ) a three-carbon fragment such as the isopropyl carbons of leucine. The first reaction was found to be only slightly reversible.
Rates in the strong invariance principle for ergodic automorphisms of the torus

Let T be an ergodic automorphism of the d-dimensional torus 𝕋d. In the spirit of Le Borgne, we give conditions on the Fourier coefficients of a function f from 𝕋d to ℝ under which the partial sums f ◦ T + f ◦ T2 + ⋯ + f ◦ Tn satisfy a strong invariance principle. Next, reinforcing the condition on the Fourier coefficients in a natural way, we obtain explicit rates of convergence in the strong invariance principle, up to n1/4log n.
An Efficient Content Based Image Retrieval System for Color and Shape Using Optimized K-Means Algorithm

This paper deals with the Content Based Image Retrieval CBIR system which is the challenging research platform in the digital image processing. The important theme of using CBIR is to extract visual content of an image automatically, like color, texture, or shape. The simple process to retrieve an image from the image set, we use image search tools like Google images, Yahoo, etc. The main goal of view is based on the efficient search on information set. In the point of searching text, we can search flexibly by using keywords, but if we use images, we search using some features of images, and these features are the keywords. Color and shape image retrieval (CSIR) describes a possible solution for designing and implementing a project which can handle the informational gap between a color and shape of an image. This similar color and shape of an image is retrieved by comparing number of images in datasets. This CSIR can be developed by using K-Means algorithm for getting retrieval results of similar image efficiently. By using K-Means algorithm, more number of iterations occurred. In order to reduce the number of iterations we use codebook algorithm. This CSIR can be used in several applications such as photo sharing sites, forensic lab, etc. CLARANS is the normal method which is used to reduce the bugs occurred in the existing algorithms.
Afrikaans-English cross-language information retrieval

This study reports on the first experiments ever to apply dictionary-based query translation techniques to Afrikaans queries submitted to an English database. The system was evaluated using 35 topics from the CLEF 2001 English language collection (title and descriptions). To show the performance level of the test queries, the original English queries were run as baseline queries. They contained the title and description field words of the CLEF topics as query keys, and the test queries were formed on the basis of the same words. Combining a bilingual dictionary, a morphological analyser and a stopword list, the Afrikaans queries were translated into English and matched with the English target database. The engineering of the translation dictionary and the creation of a stopword list are described. Morphologically, the nature of Afrikaans is quite simple and therefore an Afrikaans morphological normaliser for information retrieval was developed as part of this study. The results of the test runs and an analysis of errors encountered are also reported.
Applying Data Compression Techniques on Systolic Neural Network Accelerator

New directions in computing and algorithms has lead to some new applications that have tolerance to imprecision. Although, These applications are creating large volumes of data which exceeds the capability of today's computing systems. Therefore, researchers are trying to find new techniques to alleviate this crisis. Approximate Computing is one promising technique that uses a trade off between precision and efficiency of computing. Acceleration is another solution that uses specialized logics in order to do computations in a way that is more power efficient. Another technique is Data compression which is used in memory systems in order to save capacity and bandwidth.
Supporting Elasticity in OpenMP Applications

Elasticity can be seen as the ability of a system to increase or decrease the computing resources allocated in a dynamic and on demand way. In order to explore this feature, several works addressed the development of frameworks and platforms focusing the construction of elastic parallel and distributed applications for IaaS clouds. However, none of these works addressed the exploration of elasticity in multithreaded applications. In this paper, we propose a mechanism to provide elasticity support for OpenMP applications, making possible the dynamic provisioning of cloud resources taking into account the program structure and runtime requirements. In our proposal, the OpenMP directives were modified to support the dynamic adjustment of resources and a set of routines were included to the user-level library in order to enable the configuration of the the elastic execution. Dynamic memory allocation support was also included in elastic OpenMP library. We also present the architecture and implementation of the proposed mechanism. The experiments validate our approach and show some possibilities to use the elastic OpenMP.
Asymmetric Transcript Discovery by RNA-seq in C. elegans Blastomeres Identifies neg-1, a Gene Important for Anterior Morphogenesis

After fertilization but prior to the onset of zygotic transcription, the C. elegans zygote cleaves asymmetrically to create the anterior AB and posterior P1 blastomeres, each of which goes on to generate distinct cell lineages. To understand how patterns of RNA inheritance and abundance arise after this first asymmetric cell division, we pooled hand-dissected AB and P1 blastomeres and performed RNA-seq. Our approach identified over 200 asymmetrically abundant mRNA transcripts. We confirmed symmetric or asymmetric abundance patterns for a subset of these transcripts using smFISH. smFISH also revealed heterogeneous subcellular patterning of the P1-enriched transcripts chs-1 and bpl-1. We screened transcripts enriched in a given blastomere for embryonic defects using RNAi. The gene neg-1 (F32D1.6) encoded an AB-enriched (anterior) transcript and was required for proper morphology of anterior tissues. In addition, analysis of the asymmetric transcripts yielded clues regarding the post-transcriptional mechanisms that control cellular mRNA abundance during asymmetric cell divisions, which are common in developing organisms.
Robot-assisted catheter insertion using hybrid impedance control

Angioplasty is a minimally invasive procedure wherein a catheter (a thermoplastic hollow wire) is inserted into the femoral artery and guided till it reaches a blockage in the blood vessel. There could be some potential complications arising from the conventional way of performing angioplasty, e.g., damage to the blood vessel due to excessive force of insertion and exposure of clinicians to harmful radiations and/or high levels of noise from an MRI machine. In this paper, we investigate the use of a robot manipulator (Mitsubishi PA 10-7C) to aid in the insertion of a catheter into a blood vessel. The robot controls the insertion force while the surgeon can remotely operate the robot from a safe and comfortable environment. The paper describes a hybrid impedance control scheme implemented on the Mitsubishi robot to perform simultaneous force/position control. The robot is used in experiments to insert a catheter into a test-bed by controlling the force of insertion and preventing the catheter from buckling or "bunching up". Experimental results for the insertion algorithms are shown
Interaction of the Chromatin Remodeling Protein hINO80 with DNA

The presence of a highly conserved DNA binding domain in INO80 subfamily predicted that INO80 directly interacts with DNA and we demonstrated its DNA binding activity in vitro. Here we report the consensus motif recognized by the DBINO domain identified by SELEX method and demonstrate the specific interaction of INO80 with the consensus motif. We show that INO80 significantly down regulates the reporter gene expression through its binding motif, and the repression is dependent on the presence of INO80 but not YY1 in the cell. The interaction is lost if specific residues within the consensus motif are altered. We identify a large number of potential target sites of INO80 in the human genome through in silico analysis that can grouped into three classes; sites that contain the recognition sequence for INO80 and YY1, only YY1 and only INO80. We demonstrate the binding of INO80 to a representative set of sites in HEK cells and the correlated repressive histone modifications around the binding motif. In the light of the role of INO80 in homeotic gene regulation in Drosophila as an Enhancer of trithorax and polycomb protein (ETP) that can modify the effect of both repressive complexes like polycomb as well as the activating complex like trithorax, it remains to be seen if INO80 can act as a recruiter of chromatin modifying complexes.
Realization of Spring Loaded Inverted Pendulum dynamics with a two-link manipulator based on the bio-inspired coordinate system

In this paper, kinematics, statics, and dynamics of a two-link manipulator with a biarticular actuation mechanism are discussed. The biarticular actuation mechanism is inspired from the musculoskeletal structure of animals and is utilized in the controller design, as well as the mechanism design. For an effective and convenient expression of the equation of motion, the rotating coordinate system is adopted unlike the conventional robotic manipulators, the dynamics of which are obtained in the fixed coordinate system. It is proved in this paper that the biarticular actuation mechanism makes the control of the end-effector easier, more robust, and more intuitive than typical actuation mechanisms. Based on the derived equation of motion of a robotic manipulator in the rotating coordinate system, a disturbance-observer-based controller is proposed for realization of the Spring Loaded Inverted Pendulum (SLIP) model, which is a common model of human lower extremities but has seldom been realized in practice. The proposed methods are all verified by simulation studies in this paper.
SENSING IN WIRELESS SENSOR NETWORKS : SURVEY

Wireless Sensor Networks (WSNs) are adopted in many applications such as, industrial automation, military, transportation, environmental monitoring, web controlling, biomedical and energy management. As WSNs continue to grow, so does the need for new mechanisms to reduce parameters such as power consumption, cost, delay and traffic. The Compressed Sensing (CS) theory holds promising improvements to these parameters. The CS shows that sparse signals and information in WSNs can be exactly reconstructed from a small number of random linear measurements. This paper provides most recent survey of CS theory as it is applied in WSN. The mathematical basis of CS theory is discussed, and important parameters in WSN are described. We explore improvements in factors such as lifetime, delay, cost and power in WSNs.
Has the Return on Australian Public Investment in Agricultural Research Changed

We examine whether there has been a decline in the returns from Australian public investment in research on broadacre agriculture. Complementing a forthcoming paper by Mullen, we use alternative specifications for the regression equation, which employs the log of total factor productivity (TFP) as the dependent variable. The rate of return is computed on an annual basis rather than by using multi-year averages. In contrast to Mullen’s earlier preliminary analysis, we have now found some evidence of a decline in the rate of return on public R&D investment, lending some support to recently voiced concerns on this matter.
SINGLE MIXTURE SEPARATION OF SPEECH AND INTERFERING AUDIO SIGNALS USING SUBSPACE DECOMPOSITION

This paper presents a method of separating speech and interference signal from their single mixture. The system is based on deriving some independent basis vectors from the mixture spectrogram and clustering them to produce the individual source subspaces. Principal component analysis (PCA) is used to derive some basis vectors reducing the dimension of the mixture spectrogram and independent component analysis (ICA) is used to make the basis vectors independent in their own domain. The independent basis vectors are then grouped into two sets (speech and interfering audio) by employing Kullback-Leibler divergence (KLd) based k-means clustering. Each group of basis vectors is used to decompose the mixture spectrogram into the individual source spectrograms and the time domain source signals are re-synthesized by applying some inverse transformations. The experimental results are noticeable in separating speech and its interfering audio signals.
In vitro biomechanical properties, fluorescence imaging, surface-enhanced Raman spectroscopy, and photothermal therapy evaluation of luminescent functionalized CaMoO4:Eu@Au hybrid nanorods on human lung adenocarcinoma epithelial cells

Abstract Highly dispersible Eu3+-doped CaMoO4@Au-nanorod hybrid nanoparticles (HNPs) exhibit optical properties, such as plasmon resonances in the near-infrared region at 790 nm and luminescence at 615 nm, offering multimodal capabilities: fluorescence imaging, surface-enhanced Raman spectroscopy (SERS) detection and photothermal therapy (PTT). HNPs were conjugated with a Raman reporter (4-mercaptobenzoic acid), showing a desired SERS signal (enhancement factor 5.0 × 105). The HNPs have a heat conversion efficiency of 25.6%, and a hyperthermia temperature of 42°C could be achieved by adjusting either concentration of HNPs, or laser power, or irradiation time. HNPs were modified with antibody specific to cancer biomarker epidermal growth factor receptor, then applied to human lung cancer (A549) and mouse hepatocyte cells (AML12), and in vitro PTT effect was studied. In addition, the biomechanical properties of A549 cells were quantified using atomic force microscopy. This study shows the potential applications of these HNPs in fluorescence imaging, SERS detection, and PTT with good photostability and biocompatibility.
A High-Resolution Adaptive Moving Mesh Hydrodynamic Algorithm

An algorithm for simulating self-gravitating cosmological astrophysical fluids is presented. The advantages include a large dynamic range, parallelizability, high resolution per grid element, and fast execution speed. The code is based on a finite volume flux-conservative total variation diminishing (TVD) scheme for the shock-capturing hydro and an iterative multigrid solver for the gravity. The grid is a time-dependent field, whose motion is described by a generalized potential flow. Approximately constant mass per cell can be obtained, which provides all the advantages of a Lagrangian scheme. The grid deformation combined with appropriate limiting and smoothing schemes guarantees a regular and well-behaved grid geometry, in which nearest neighbor relationships remain constant. The full hydrodynamic fluid equations are implemented in the curvilinear moving grid, which allows for arbitrary fluid flow relative to the grid geometry. This combination retains all the advantages of the grid-based schemes including high speed per fluid element and a rapid gravity solver. The current implementation is described, and empirical simulation results are presented. Accurate execution speed calculations are given in terms of floating point operations per time step per grid cell. This code is freely available to the community.
Episodic and Semantic Memory: Implications for the Role of Emotion in Advertising.

The distinction between episodic and semantic memory is elaborated and applied to consumer processing of advertising messages. It is argued that epi sodic memory, the storage of information about speelic events, probably plays a more significant role in adiertising's effects than has been attributed to it. Episodic memory is then applied to questions concerning the role that emotional appeals play in influencing memory, choice, and purchase. It is concluded that conceptualizing emotional effects in terms of an episodic memory model is consistent with the psychological literature on memory, and adds to our understanding of how emotion operates in the persuasive process. Episodic and Semantic Memory: F. ions for the Role of Emotion in ';1. ng This paper is a critique of the way in which we been thinking about how people store and retrieve information from advertising. It will suggest that while much of our theorizing about advertising assumet what psychologists have termed semantic memory structure, most of our reseat. is designed to index episodic memory structure. The distinctions between episodic and semantic memory will be elaborated, and then applied to a matter of considerable current interest to advertising researchers--the role of emotion in persuasive messages. Episodic and Semantic Memory Processes A memory researcher named Endel Tulving (1972) first argued that a distinction should be made between memory that stores information about specific events experienced by a person, and memory that stores general knowledge about the world. The first kind of memory he termed episodic, and the second, semantic. Since then, considerable controversy has deVeloped about whether the two kinds of memory are actually separate (Atkinson, Herrmann, & Wescourt, 1974; Crowder, 1976; Herrmann & McLaughlin, 1973; ShOben, Wescourt, & Smith, 1978), or whether the distinction is really just a useful way to classify different kinds of knowledge (Anderson & Bower, 1973; McKoon & Ratcliff, 1979; McCloskey & Santee, 1981). Under either interpretation, the distinction has proved to bean important one to psychologists studying memory (Lachman, Lachman, & Butterfield, 1979; Rintsch, 1977; Klatzky, 1980; Seamon, 1980). Actually, the classification "semantic" memory may not be sufficiently detailed. As Rabinowitz & Mandler (1983) have pointed out, even within semantic memory there seem to be variations in the kind of organization used. The two
Feature Words of Moves in Scientific Abstracts

Extraction of structure from texts is a key issue of text mining. The rhetorical structure of move in scientific articles is useful for assisting in the reading and writing. In this paper, we classify move structure in the abstract of research articles with a small number of characteristic words that determine five moves of including background (B), purpose(P), method(M), result(R) and discussion(D). Eleven measures were introduced and used to select features of moves. Exhaustive parameter search were conducted to get the optimal combination of measure and the number of features. We applied support vector machine and evaluated 10 fold cross validations. The accuracies with optimal feature selections are 0.9022, 0.8322, 0.8442, 0.8820 and 0.8354 for B, P, M, R and D, respectively. They are 10% better than the baseline performance that use all keywords. This study surprisedly found that the negative feature words play central role for prediction performance improvement.
Searching in Internet of Things: Vision and Challenges

This paper discusses the challenges in searching imposed by the burgeoning field of Internet of Things (IoT). It first overviews the evolution of the new field to its predecessors: searching in the mobile computing, ubiquitous computing and information retrieve. Then, it identifies four research thrusts: architecture design, search locality, real-time and scalability. It also sketches several presumptive IoT scenarios, and uses them to identify key capabilities missing in today's systems. This paper concludes with a discussion of the research necessary to design and develop these capabilities. In addition, this paper proposes a series of measurement dimensions, based on which it investigates the state-of-the-art efforts.
Heat-Evoked Activation of the Ion Channel, TRPV4

The mammalian nervous system constantly evaluates internal and environmental temperatures to maintain homeostasis and to avoid thermal extremes. Several members of the transient receptor potential (TRP) family of ion channels have been implicated as transducers of thermal stimuli, including TRPV1 and TRPV2, which are activated by heat, and TRPM8, which is activated by cold. Here we demonstrate that another member of the TRP family, TRPV4, previously described as a hypo-osmolarity-activated ion channel, also can be activated by heat. In response to warm temperatures, TRPV4 mediates large inward currents in Xenopus oocytes and both inward currents and calcium influx into human embryonic kidney 293 cells. In both cases these responses are observed at temperatures lower than those required to activate TRPV1 and can be inhibited reversibly by ruthenium red. Heat-evoked TRPV4-mediated responses are greater in hypo-osmotic solutions and reduced in hyperosmotic solutions. Consistent with these functional properties, we observed TRPV4 immunoreactivity in anterior hypothalamic structures involved in temperature sensation and the integration of thermal and osmotic information. Together, these data implicate TRPV4 as a possible transducer of warm stimuli within the hypothalamus.
ISYWEB: an XML-based architecture for web information systems

The development of Internet technologies made migrate the information systems towards the Web. This migration has profited mainly of an evolution of the database technologies. Nevertheless, it requires a new architecture of information system permitting to bring solutions for the problems of heterogeneous data integration, relevant information retrieval and diffusion of integrated data on the Web. We propose ISYWEB, an XML-based architecture for web information systems providing models, methods and tools to solve problems posed by the migration of information systems towards the Web. ISYWEB relies on an XML data repository called dataweb; we define a dataweb as a collection of structured and semi-structured data. In this paper, we describe the ISYWEB architecture and show how it allows to (1) integrate heterogeneous data sources into an XML data repository, (2) provide relevant XML information retrieval based on domain knowledge, and (3) design and realize web applications to publish the XML data on the Web.
GCORE: A Gravitation-Based Approach for Chinese Open Relation

Traditional Relation Extraction (RE) trains individual extractors for pre-defined relations. Open Relation Extraction (ORE) can eschew domain-specific training data, tackle an unbounded number of relations, and scale up to massive and heterogeneous corpus such as the web. However, It is difficult to process micro log texts: the genre is noisy, utterances are very short, and texts have little context. As such, conventional RE approaches fail when faced with micro log and other Web texts. In this paper, we present a gravitation-based Chinese ORE approach to extracting relations between entities by using the idea of the law of universal gravitation. GCORE produces heuristic rules to extract entity relations, and calculates a confidence score for each relational tuple, which is directly proportional to the product of the frequency of entity pairs and the frequency of relation words, and inversely proportional to the square of the distance between the relation word and the candidate entity pair. The confidence score can be used to show the reliability of relational tuples. The higher the score, the more reliable the candidate tuple is, and vice versa. The experimental evaluation over two data sets from ZORE demonstrates the correctness and effectiveness of our proposed approach, and empirical results on Weibo texts show the universality of GCORE.