Miracle-dz/UniFAR-FTUs huggingface dataset:
The impacts of sports facilities development on the urban growth of Kuala Lumpur federal territory, malaysia

Sports and sports facilities development have improved rapidly over the past years in Malaysia. However, such improvements are inadequate compared to the overall development of sports at international level. In recent years sport is getting more and more influential and it will continue to grow in importance, even for developing countries. Recent developments have witnessed the use of sports facilities as a force for urban growth. The aim of this research is to explore the existing sports facilities in Kuala Lumpur federal territory developed by Kuala Lumpur City Hall (KLCH). Further to examine their impacts through managers' perception. The research argues that there is a relationship between capacity, location, type and opening year of the sports facilities and their impacts to the surrounding. It is also able to rank all the sports facilities according to their type.
Computing Poisson probabilities

We propose an algorithm to compute the set of individual (nonnegligible) Poisson probabilities, rigorously bound truncation error, and guarantee no overflow or underflow. Work and space requirements are modest, both proportional to the square root of the Poisson parameter. Our algorithm appears numerically stable. We know no other algorithm with all these (good) features. Our algorithm speeds generation of truncated Poisson variates and the computation of expected terminal reward in continuous-time, uniformizable Markov chains. More generally, our algorithm can be used to evaluate formulas involving Poisson probabilities.
A Continuous Extraction and Pumpless Supercritical CO2 Drying System for Laboratory-Scale Aerogel Production

Production of aerogels starts with solution chemistry and may end with supercritical carbon dioxide drying, which both require a specialized system. Here we present a complete aerogel production system that was developed and used in our laboratory over the last nine years. Our aim was to develop a supercritical dryer and a protocol, whereby the CO2 pump can be left out, and the entire flow system is operated by the pressure of the CO2 cylinder. Drying pressure and temperature are controlled by the combination of the filling and heating temperatures. A continuous-mode solvent exchange system has also been developed, in which the solvent consumption during the process can be reduced to one-third of the batch method. In the new medium temperature 1.5 L volume supercritical dryer, the temperature is set to a constant 80–82 °C, and the pressure can be in the 90–200 bar range, depending on the conditions. We have performed approximately 200 dryings thus far, and prepared a wide range of monolithic aerogels, from pristine silica aerogels to polysaccharides and collagen. In this paper, we have summarized not only the technical details, but also the work experiences, as well as advantages and disadvantages of the systems.
Small Molecule Therapeutics Characterization of the Novel and Speci fi c PI 3 K a Inhibitor NVP-BYL 719 and Development of the Patient Strati fi cation Strategy for Clinical Trials

Somatic PIK3CA mutations are frequently found in solid tumors, raising the hypothesis that selective inhibition of PI3Kamay have robust efficacy in PIK3CA-mutant cancers while sparing patients the side-effects associated with broader inhibition of the class I phosphoinositide 3-kinase (PI3K) family. Here, we report the biologic properties of the 2-aminothiazole derivative NVP-BYL719, a selective inhibitor of PI3Ka and its most common oncogenic mutant forms. The compound selectivity combined with excellent drug-like properties translates to doseand time-dependent inhibition of PI3Ka signaling in vivo, resulting in robust therapeutic efficacy and tolerability in PIK3CA-dependent tumors. Novel targeted therapeutics such as NVP-BYL719, designed to modulate aberrant functions elicited by cancer-specific genetic alterations uponwhich the disease depends, require well-defined patient stratification strategies in order to maximize their therapeutic impact and benefit for the patients. Here, we also describe the application of the Cancer Cell Line Encyclopedia as a preclinical platform to refine the patient stratification strategy for NVP-BYL719 and found that PIK3CA mutation was the foremost positive predictor of sensitivity while revealing additional positive and negative associations such as PIK3CA amplification and PTENmutation, respectively. These patient selection determinants are being assayed in the ongoing NVP-BYL719 clinical trials.Mol Cancer Ther; 13(5); 1–13. 2014 AACR.
Dark Matter Directionality : Effect of Nuclear Recoil Direction Relative to Applied Electric Field on Ionization Yield in the LUX Detector

There is substantial evidence to suggest that approximately 84% of the material in our universe is comprised of non-luminous matter called “dark matter. ” One promising candidate for dark matter is the Weakly Interacting Massive Particle (WIMP), a theoretical particle that interacts via gravity and a weak-like force. The Large Underground Xenon (LUX) experiment was an initiative to detect WIMP recoils using a liquid xenon scintillator placed deep underground. Due to the motion of the solar system through the Milky Way, WIMP’s are expected to preferentially scatter along the axis of their incidence direction. As such, the ability to resolve the directionality of a recoil would be a powerful metric for discriminating WIMP recoils from terrestrial background. This thesis explores a potential method for resolving the axial direction of a recoil, using 107.2 live hours of nuclear recoil calibration data to try and identify any anisotropy in the ionization yield as a function of the angle between the xenon nuclear recoil track and the applied electric field in the LUX detector. The purported anisotropy would come from increased recombination emission in ionization tracks parallel to the electric field vs. perpendicular. The analysis results indicate no appreciable signal at the 95% confidence level. Therefore, any anisotropy would be beneath the sensitivity threshold achieved.
Strength model for composite ceramics with nano-interface and micro-interface

ABSTRACT A mechanical model for the strength prediction of composite ceramics (CC) with nano-interface and micro-interface is presented based on nano-interface damage mechanism and micro-interface damage mechanism. Firstly, on the basis of composite microstructure, micro-domain whose main component is regularly arranging eutectic crystal is built. Moreover, nano-cell is brought into eutectic crystal which is comprised of parallel inclusions, nano-interfaces, matrix and effective medium. Secondly, the stress field of micro-domain is deduced based on interaction direct derivative. Thirdly, three failure mechanisms of micro-domain including the fracture of eutectic crystal based on the damage of nano-interface, the slipping and cracking of micro-interface among eutectic crystals are taken into account. Finally, the strength model of the composite ceramic is obtained by using random distribution of the micro-domain, and several factors that may decrease the strength of the composite ceramic are analyzed. The results indicate that inclusion size, volume fraction and micro-interface cracking size are the three primary factors decreasing the strength of composite, while the shapes of inclusion and structure of domain have little influence on the strength of composite. The comparison with experimental data shows that the model is effective in the explanation of the failure mechanism of composite ceramic with nano-interface and micro-interface. GRAPHICAL ABSTRACT
Multiresolution techniques for interactive texture-based volume visualization

We present a multiresolution technique for interactive texture-based volume visualization of very large data sets. This method uses an adaptive scheme that renders the volume in a region-of-interest at a high resolution and the volume away from this region at progressively lower resolutions. The algorithm is based on the segmentation of texture space into an octree, where the leaves of the tree define the original data and the internal nodes define lower-resolution versions. Rendering is done adaptively by selecting high-resolution cells close to a center of attention and low-resolution cells away from this area. We limit the artifacts introduced by this method by modifying the transfer functions in the lower-resolution data sets and utilizing spherical shells as a proxy geometry. It is possible to use this technique to produce viewpoint-dependent renderings of very large data sets.
CANDID: comparison algorithm for navigating digital image databases

In this paper, we propose a method for calculating the similarity between two digital images. A global signature describing the texture, shape, or color content is first computed for every image stored in a database, and a normalized distance between probability density functions of feature vectors is used to match signatures. This method can be used to retrieve images from a database that are similar to an example target image. This algorithm is applied to the problem of search and retrieval for a database containing pulmonary CT imagery, and experimental results are provided. <<ETX>>
Combining Multi-features with Conditional Random Fields for Person Recognition

With the development of natural language processing (NLP) technology, the need for automatic named entity recognition (NER) is highlighted in order to enhance the performance of information extraction systems? The task of NER, which plays a vital role in NLP, is to tag each named entity (NE)in documents with a set of certain NE types? In this paper, a hybrid pattern for Chinese NER based on conditional random fields model is proposed, which fuses multiple features? It differentiates from most of the previous approaches, it use the same linguistics model to recognize Chinese person name and transliterated personal name, where, combining multi-knowledge and multi-features, the inner-feature of personal name and its context information were considered. Analyzing compose context word information and entity inner word information, the multi-features can be integrated which including the local feature, relation feature, globe feature and heuristic human knowledge. Based conditional random fields, the new linguistics model are built. And the performance were be improved, The experimental results show that the precision is 94.87%, the recall is 93.76% and the F-measure is 94.31% in People’s Daily (January, 1998), And the experiments on another different testing set for NER evaluation task in SIGH AN 2006 also confirm the above conclusion, which show that this algorithm has consistence on different testing data sources. This can prove the validity of this approach.
Epicardium-Derived Heart Repair

In the last decade, cell replacement therapy has emerged as a potential approach to treat patients suffering from myocardial infarction (MI). The transplantation or local stimulation of progenitor cells with the ability to form new cardiac tissue provides a novel strategy to overcome the massive loss of myocardium after MI. In this regard the epicardium, the outer layer of the heart, is a tractable local progenitor cell population for therapeutic pursuit. The epicardium has a crucial role in formation of the embryonic heart. After activation and migration into the developing myocardium, epicardial cells differentiate into several cardiac cells types. Additionally, the epicardium provides instructive signals for the growth of the myocardium and coronary angiogenesis. In the adult heart, the epicardium is quiescent, but recent evidence suggests that it becomes reactivated upon damage and recapitulates at least part of its embryonic functions. In this review we provide an update on the current knowledge regarding the contribution of epicardial cells to the adult mammalian heart during the injury response.
Integration of Nanomechanical Resonators in Microfluidic Systems for Specific Protein Detection

Nanomechanical resonators offer a pathway towards highly sensitive and labelfree detection of biomolecules by transducing the mass of bound analytes into resonant frequency shifts. Zeptogram level and even single cell detections have been successfully achieved by others. However, these experiments have been performed through traditional “dip-and-dry” method, requiring the use of a large quantity of analyte. Such a system is not readily amenable to automation, is subject to contamination and is prone to inter-run variation. Integration of nanomechanical resonators into a microfluidic system would facilitate sample delivery and provide a stable Lab-On-a-Chip (LOC) system that could be effectively used for diagnostic tests. There have been a few demonstrations of integrating nanomechanical resonators with microfuidic systems. However, these works involved external syringe pumps and valves for sample delivery which make their system bulky, complex and not suitable for point-of-care testing applications. Here we have developed a nanomechanical resonator-based microfluidic system that delivers sample using on-chip automated pump and valve systems and that demonstrates the biosensing capabilities with the limit of detection in femtogram range using minute amount of sample. To our best of knowledge, this is the first integration of nanoresonator-based sensing platform with the automated on-chip sample delivery system. Such integration can provide the system with simplicity, portability and potential realization as easily accessible point-of-care diagnostic tools. Nanoresonator arrays operating at 4.8 MHz ~ 10 MHz were fabricated and their surfaces were modified with vapour-deposited mercaptopropyl trimethoxysilane (MTPMS) to sequentially immobilize biotin (0.6 mg/mL) and streptavidin protein (1 mg/mL and 10 μm/mL). Based on resonance assaying, the calculated mass-per-area for the bound streptavidin were 1.23 mg/m 2 for 1 mg/mL and 1.01 mg/m 2 for 10 μm/mL streptavidin concentrations. These values correspond to one streptavidin per 80 (nm) 2 and 95 (nm) 2 or 81 % and 63 % coverage over the biotin-covered surface, respectively. The overall lowest detected mass from the resonators was 8.8 fg of biotin.
The Sinkhorn-Knopp Algorithm: Convergence and Applications

As long as a square nonnegative matrix $A$ contains sufficient nonzero elements, the Sinkhorn-Knopp algorithm can be used to balance the matrix, that is, to find a diagonal scaling of $A$ that is doubly stochastic. We relate balancing to problems in traffic flow and describe how balancing algorithms can be used to give a two sided measure of nodes in a graph. We show that with an appropriate modification, the Sinkhorn-Knopp algorithm is a natural candidate for computing the measure on enormous data sets.
Investigation of Uncoordinated Coexisting IEEE 802.15.4 Networks with Sleep Mode for Machine-to-Machine Communications

The low-energy consumption of IEEE 802.15. 4 networks makes it a strong candidate for machine-to-machine (M2M) communications. As multiple M2M applications with 802.15. 4 networks may be deployed closely and independently in residential or enterprise areas, supporting reliable and timely M2M communications can be a big challenge especially when potential hidden terminals appear. In this paper, we investigate two scenarios of 802.15. 4 network-based M2M communication. An analytic model is proposed to understand the performance of uncoordinated coexisting 802.15. 4 networks. Sleep mode operations of the networks are taken into account. Simulations verified the analytic model. It is observed that reducing sleep time and overlap ratio can increase the performance of M2M communications. When the networks are uncoordinated, reducing the overlap ratio can effectively improve the network performance.
Chapter 2 Implicit Learning Through Embodiment in Immersive Virtual Reality

Virtual reality (VR) typically results in the illusion of presence. The participant in a VR scenario typically has the illusion of being in the virtual place, and under the right conditions the further illusion that events that are occurring there are really occurring. We review how these properties are useful for the application of VR in education. We present a further illusion that can be triggered in VR referred to as body ownership. This can occur when the participant sees a life-sized virtual body substituting her or his own, from first person perspective. This virtual body can be programmed to move synchronously with the participant’s real body movements, thus leading to the perceptual illusion that the virtual body is her or his actual body. We survey various experiments that show that the form of the virtual body can result in implicit changes in attitudes, perception and cognition, and changes in behavior. We compare this with the process of implicit learning and conclude that virtual body ownership and its consequences may be used as a form of implicit learning. We conclude by suggesting how the study of the relationship between body ownership and implicit learning might be taken forward.
A Cdc24p-Far1p-Gβγ Protein Complex Required for Yeast Orientation during Mating

Oriented cell growth requires the specification of a site for polarized growth and subsequent orientation of the cytoskeleton towards this site. During mating, haploid Saccharomyces cerevisiae cells orient their growth in response to a pheromone gradient overriding an internal landmark for polarized growth, the bud site. This response requires Cdc24p, Far1p, and a heterotrimeric G-protein. Here we show that a two- hybrid interaction between Cdc24p and Gβ requires Far1p but not pheromone-dependent MAP-kinase signaling, indicating Far1p has a role in regulating the association of Cdc24p and Gβ. Binding experiments demonstrate that Cdc24p, Far1p, and Gβ form a complex in which pairwise interactions can occur in the absence of the third protein. Cdc24p localizes to sites of polarized growth suggesting that this complex is localized. In the absence of CDC24-FAR1-mediated chemotropism, a bud site selection protein, Bud1p/Rsr1p, is essential for morphological changes in response to pheromone. These results suggest that formation of a Cdc24p-Far1p-Gβγ complex functions as a landmark for orientation of the cytoskeleton during growth towards an external signal.
Conversion of Helicobacter pylori CagA from senescence inducer to oncogenic driver through polarity-dependent regulation of p21

The Helicobacter pylori CagA bacterial oncoprotein plays a critical role in gastric carcinogenesis. Upon delivery into epithelial cells, CagA causes loss of polarity and activates aberrant Erk signaling. We show that CagA-induced Erk activation results in senescence and mitogenesis in nonpolarized and polarized epithelial cells, respectively. In nonpolarized epithelial cells, Erk activation results in oncogenic stress, up-regulation of the p21Waf1/Cip1 cyclin-dependent kinase inhibitor, and induction of senescence. In polarized epithelial cells, CagA-driven Erk signals prevent p21Waf1/Cip1 expression by activating a guanine nucleotide exchange factor–H1–RhoA–RhoA-associated kinase–c-Myc pathway. The microRNAs miR-17 and miR-20a, induced by c-Myc, are needed to suppress p21Waf1/Cip1 expression. CagA also drives an epithelial-mesenchymal transition in polarized epithelial cells. These findings suggest that CagA exploits a polarity-signaling pathway to induce oncogenesis.
Implementation of contact hole patterning performance with KrF resist flow process for 60nm node DRAM application

Small contact holes are the most difficult structures for microlithography to print because it is sensitively affected by the process condition, pattern density and environment as well. Moreover, the patterning of very small contact hole features for the 60nm node DRAM device generation will be a difficult challenge for 248nm lithography. However, we have already demonstrated the applicability of thermal flow resist to print 80nm contact holes for DRAM device using 248nm lithography in previous studies. In this work, we study the potential for contact photoresist reflow to be used with 248nm photoresist to increase process windows of small contact dimensions at the 60nm node DRAM device generation (0.21 k1). With KrF 0.80NA scanner, resist flow process and layout optimization were carried out to achieve the contact hole patterning. And also the exposure condition was optimized. For a contact hole with CDs of 69nm +/- 10%, Focus-Exposure windows over the wafer are 0. 25μm and 8%, respectively. In conclusion, we have successfully achieved the contact hole patterning with KrF resist flow process for the 60nm node DRAM device.
Strategic sequential bidding in auctions using dynamic programming

We develop a general framework in which real-time Dynamic Programming (DP) can be used to formulate agent bidding strategies in a broad class of auctions characterized by sequential bidding and continuous clearing. In this framework, states are represented primarily by an agent's holdings, and transition probabilities are estimated from the market event history, along the lines of the "belief function" approach of Gjerstad and Dickhaut [7]. We use the belief function, combined with a forecast of how it changes over time, as an approximate state-transition model in the DP formulation. The DP is then solved from scratch each time the agent has an opportunity to bid. The resulting algorithm optimizes cumulative long-term discounted profitability, whereas most previous strategies such as Gjerstad-Dickhaut (GD) merely optimize immediate profits.We test our algorithm in a simplified model of a Continuous Double Auction (CDA). Our results show that the DP-based approach reproduces the behavior of GD for small discount parameter γ, and is clearly superior for large values of γ close to 1. We suggest that this algorithm may offer the best performance of any published CDA bidding strategy. The framework our algorithm provides is extensible and can accommodate many market and research aspects.
Edge-preserving wavelet-based multisensor image fusion approach

Images emanating from multiple sensors have been successfully exploited to reduce human and machine errors in practical vision systems. Multiresolution-based schemes have shown interesting potential in the fusion of images obtained from possibly different types of sensors that need to be combined. However, most of the proposed schemes treat all image features equally regardless of their local importance. On the other hand, the human visual system is more sensitive to edges and sharp details. We propose an image fusion scheme where image edges, characterized by wavelet maxima, are considered separately from plain and low activity image regions. This edge-guided fusion offers a trade-off between feature-based and pixel-level fusion schemes. Images are combined in the wavelet domain using a multiresolution representation that is more sensitive to image edges. A comparison of the proposed method with current multiresolution-based fusion schemes shows that the proposed method can achieve better performance in combining and preserving important details in the combined images.