Miracle-dz/UniFAR-FTUs huggingface dataset:
3D human pose search using oriented cylinders

In this study, we present a representation based on a new 3D search technique for volumetric human poses which is then used to recognize actions in three dimensional video sequences. We generate a set of cylinder like 3D kernels in various sizes and orientations. These kernels are searched over 3D volumes to find high response regions. The distribution of these responses are then used to represent a 3D pose. We use the proposed representation for (i) pose retrieval using Nearest Neighbor (NN) based classification and Support Vector Machine (SVM) based classification methods, and for (ii) action recognition on a set of actions using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM) based classification methods. Evaluations on IXMAS dataset supports the effectiveness of such a robust pose representation.
Chemical Genetics: Budding Yeast as a Platform for Drug Discovery and Mapping of Genetic Pathways

The budding yeast Saccharomyces cerevisiae is a widely used model organism, and yeast genetic methods are powerful tools for discovery of novel functions of genes. Recent advancements in chemical-genetics and chemical-genomics have opened new avenues for development of clinically relevant drug treatments. Systematic mapping of genetic networks by high-throughput chemical-genetic screens have given extensive insight in connections between genetic pathways. Here, I review some of the recent developments in chemical-genetic techniques in budding yeast.
Silicon Oxycarbide Waveguides for Photonic Applications

Silicon oxycarbide thin films deposited with rf reactive magnetron sputtering a SiC target are exploited to demonstrate photonic waveguides with a high refractive index of 1.82 yielding an index contrast of 18% with silica glass. The propagation losses of the photonic waveguides are measured at the telecom wavelength of 1.55 μm by cut-back technique. The results demonstrate the potential of silicon oxycarbide for photonic applications.
Analog placement and global routing considering wiring symmetry

Unlike the mature and highly automatic flow for digital layout generation, the existing method to generate an analog layout is far from automatic because it highly depends on the designer's expertise. Prior endeavors are mainly dedicated to analog placement because they consider only the device symmetry constraint. This paper raises the wiring symmetry issue to analog layout: wiring symmetry is as crucial as device symmetry. Hence, we propose an analog placement and global routing algorithm to consider both types of symmetry constraints. During placement, we utilize the device folding technique to enhance the flexibility and feasibility on symmetry. Our results show that our algorithm can produce a promising initial layout to speed up the analog design process.
Positioning in Wireless Body Area Network using GSM

Wireless Body Area Network(WBAN) is an emerging trend in ubiquitous society and very prolific for Human being, which consists of low power wireless biosensors, seamlessly placed on or implanted in human body in order to provide an adaptable and smart healthcare system. Positioning of a WBAN user in his/her critical condition is an important issue in WBAN. For this purpose we have canvassed different positioning system, checked advantage and disfavor of those system keeping eyes on the environment of WBAN.A patient equipped with WBAN sensors can stuck into any critical condition anywhere so it is important to monitor them continuously. There are different technologies for localization, but their stickiness with certain application does not make them unanimous. In WBAN we need a technology which can serve two way communication as well as positioning of the user. Since GSM technology is dispersed through worldwide with huge infrastructure so this work tries to elaborate that how GSM is better option than others.
Webcam Synopsis: Peeking Around the World

The world is covered with millions of Webcams, many transmit everything in their field of view over the Internet 24 hours a day. A Web search finds public webcams in airports, intersections, classrooms, parks, shops, ski resorts, and more. Even more private surveillance cameras cover many private and public facilities. Webcams are an endless resource, but most of the video broadcast will be of little interest due to lack of activity. We propose to generate a short video that will be a synopsis of an endless video streams, generated by webcams or surveillance cameras. We would like to address queries like "I would like to watch in one minute the highlights of this camera broadcast during the past day". The process includes two major phases: (i) An online conversion of the video stream into a database of objects and activities (rather than frames), (ii) A response phase, generating the video synopsis as a response to the user's query. To include maximum information in a short synopsis we simultaneously show activities that may have happened at different times. The synopsis video can also be used as an index into the original video stream.
Mining Expert Play to Guide Monte Carlo Search in the Opening Moves of Go

We propose a method to guide a Monte Carlo search in the initial moves of the game of Go. Our method matches the current state of a Go board against clusters of board configurations that are derived from a large number of games played by experts. The main advantage of this method is that it does not require an exact match of the current board, and hence is effective for a longer sequence of moves compared to traditional opening books. We apply this method to two different open-source Go-playing programs. Our experiments show that this method, through its filtering or biasing the choice of a next move to a small subset of possible moves, improves play effectively in the initial moves of a game.
International Pharmaceutical Federation

Introducción La FIP reconoce que el uso seguro y apropiado de medicamentos es un aspecto importante en la optimización de resultados de la atención sanitaria. Los errores humanos son siempre una posibilidad en la prestación de atención sanitaria. Sin embargo, tanto la incidencia como la severidad de los errores pueden ser reducidas drásticamente mediante la adopción de medidas sistemáticas para la prevención de errores. Los errores de medicación también se pueden reducir con el adecuado acceso por parte de los farmacéuticos a los registros de pacientes relevantes en este sentido, como por ejemplo embarazos, insuficiencia renal, etc., u otros aspectos que tengan implicaciones en la medicación.
Scaling Law of the Sum-Rate for Multi-Antenna Broadcast Channels with Deterministic or Selective Binary Feedback

The sum-capacity of the multi-antenna Gaussian broadcast channel is known to be achieved by Dirty Paper Coding techniques, that require full channel state information at the base station. It has been recently shown that a sum-rate having the same scaling law of the sum-capacity with respect to the number of users n for a fixed signal to noise ratio (i.e., M log log n where M is the number of transmitting antennas) can be achieved by using reduced feedback (or equivalently reduced channel state information at the transmitter). In particular, it has been proved that n real and n integer numbers are enough to guarantee the optimal scaling law. In this paper, the optimal scaling law of the sum-rate is shown to be achievable with an even smaller amount of feedback and, more precisely, with 1) n log2(M + 1) bits, if a deterministic feedback scheme is employed; 2) an average number of feedback bits that scales as M log2M log n with the number of users n, if a selective (random) feedback scheme is employed.
IMPROVEMENT OF THE FIDELITY OF 3 D ARCHITECTURE MODELING COMBINING 3 D VECTOR DATA AND UNCALIBRATED IMAGE SEQUENCES

The goal of this work is to create a system for improving large architectures models with relatively few uncalibrated image sequences and produces interactively navigable and photorealistic 3D scene. The novel idea is based on the combination of spatial 3D vector data and uncalibrated image sequences to improve the fidelity of 3D architecture models in an extended urban area. First, the spatial 3D vector data is stored in our designed spatial 3D object-relational database. 3D vector data can simplifies the 3D reconstruction problem by supporting and solving directly for the architectural dimensions of the scene. Next, an architecture building is observed from multiple viewpoints by freely moving a video camera around it for taking uncalibrated images. All viewpoints are then linked by controlled correspondence linking for each image pixel. The correspondence linking algorithm allows for accurate depth estimation. Dense surface reconstructions are obtained by adjacent images of the sequence as stereoscopic pairs and computing dense disparity maps for each image pair. A flat wall of the architecture can be computed as a relief. Finally, we displace the surfaces of the model to make them maximally consistent with their appearance across these multiple images. Result shows that it is possible to compute a more realistic 3D architecture model using relatively few image sequences, as long as appropriate 3D vector data is available.
A Knowledge-Based Step Length Estimation Method Based on Fuzzy Logic and Multi-Sensor Fusion Algorithms for a Pedestrian Dead Reckoning System

The demand for pedestrian navigation has increased along with the rapid progress in mobile and wearable devices. This study develops an accurate and usable Step Length Estimation (SLE) method for a Pedestrian Dead Reckoning (PDR) system with features including a wide range of step lengths, a self-contained system, and real-time computing, based on the multi-sensor fusion and Fuzzy Logic (FL) algorithms. The wide-range SLE developed in this study was achieved by using a knowledge-based method to model the walking patterns of the user. The input variables of the FL are step strength and frequency, and the output is the estimated step length. Moreover, a waist-mounted sensor module has been developed using low-cost inertial sensors. Since low-cost sensors suffer from various errors, a calibration procedure has been utilized to improve accuracy. The proposed PDR scheme in this study demonstrates its ability to be implemented on waist-mounted devices in real time and is suitable for the indoor and outdoor environments considered in this study without the need for map information or any pre-installed infrastructure. The experiment results show that the maximum distance error was within 1.2% of 116.51 m in an indoor environment and was 1.78% of 385.2 m in an outdoor environment.
Conditional maximum likelihood estimation under various specifications of exponential random graph models

One among the major contributions by Ove Frank to the statistical analysis of social networks was the introduction, in Frank and Strauss (1986), of the class of Markov graphs as a family of distributions for directed and undirected graphs. A random graph is a Markov graph if the number of nodes is fixed (say, at g) and nonincident edges (i.e., edges between disjoint pairs of nodes) are independent conditional on the rest of the graph. Frank and Strauss elaborated on Besag (1974) in their use of the Hammersley-Clifford theorem to characterize Markov graphs as an exponential family of distributions. The model was extended by Frank (1991) and by Wasserman and Pattison (1996) to general exponential families of distributions for graphs, with a focus on directed graphs (digraphs). Wasserman and Pattison (1996) called this family the p∗ model. In subsequent work (among others, Pattison and Wasserman, 1999; Robins, Pattison, and Wasserman, 1999) this model was elaborated, mainly using subgraph counts as sufficient statistics. The exponential family of distributions for a digraph denoted by y, for some vector of sufficient statistics u = u(y), is given by the family of probability functions ∗The first author acknowledges stimulating discussions with Philippa Pattison and Garry Robins, made possible by a fellowship at the University of Melbourne (School of Behavioural Sciences); and with Mark Handcock and Martina Morris, made possible by participation in NIH grant 1 R01 DA12831-01A1, ”Modeling HIV and STD in Drug User and Social Networks”.
Possible multicentric occurrence of hepatocellular carcinoma: A clinicopathological study

To assess the features of multicentric occurrence in hepatocellular carcinoma, we analyzed 10 of 72 patients (14%) who had undergone hepatic resection for hepatocellular carcinoma from May 1989 to October 1992 both clinically and pathologically. The multicentric occurrence of hepatocellular carcinoma was defined among the simultaneously detected small tumors as (a) at least one tumor consisting of extremely well‐differentiated (grade I) hepatocellular carcinoma growing in a replacing pattern or (b) one of a group of hepatocellular carcinomas growing in an area of adenomatous hyperplasia. Of the 10 patients, the tumors in 9 were diagnosed as synchronous multicentric hepatocellular carcinomas, whereas the tumor in 1 was considered metachronous. All patients had cirrhosis; one of them had hepatitis B virus infection and nine patients had HCV infection. The inflammatory findings in the parenchyma were determined on the basis of serum enzyme values (AST, 89 ± 27 IU/L; ALT, 96 ± 43 IU/L). One or two tumors in 9 of 10 patients had thin trabecular or trabecular patterns showing replacing growth. In addition, one of the two tumors in two of nine patients was observed growing in areas of adenomatous hyperplasia. Recurrences were found in 4 of 10 patients. The 3‐yr disease‐free survival rate was 23%. Multiple recurrences were recognized in the two patients, and in the patients who underwent repeat surgery, grade I tumors were also found. Even though these tumors were small and well‐differentiated, the recurrence rate was high. Therefore to detect the recurrence of metachronous multicentric hepatocellular carcinoma at an earlier stage, careful follow‐up after surgery should be carried out. (HEPATOLOGY 1994;19:889–894.)
Glycan modulation and sulfoengineering of anti–HIV-1 monoclonal antibody PG9 in plants

Significance The broadly neutralizing anti–HIV-1 monoclonal antibody (mAb) PG9 requires multiple posttranslational modifications to exhibit its full biological activity, including proper N-glycosylation and tyrosine sulfation. We now describe a technology that permits the controlled synthesis of these modifications in Nicotiana benthamiana. This technology allowed us to show that sulfated PG9 neutralizes HIV-1 with much higher potency than unsulfated antibody. We also found that glycooptimized mAb versions made in plants are superior to PG9 produced in mammalian cells with respect to mediating antibody-dependent cellular cytotoxicity, an important mAb effector function. Because effector functions are of key importance for antibody-mediated immune control of HIV-1 infections, our results can instruct the development of improved immunotherapeutics for the treatment of AIDS patients. Broadly neutralizing anti–HIV-1 monoclonal antibodies, such as PG9, and its derivative RSH hold great promise in AIDS therapy and prevention. An important feature related to the exceptional efficacy of PG9 and RSH is the presence of sulfated tyrosine residues in their antigen-binding regions. To maximize antibody functionalities, we have now produced glycan-optimized, fucose-free versions of PG9 and RSH in Nicotiana benthamiana. Both antibodies were efficiently sulfated in planta on coexpression of an engineered human tyrosylprotein sulfotransferase, resulting in antigen-binding and virus neutralization activities equivalent to PG9 synthesized by mammalian cells (CHOPG9). Based on the controlled production of both sulfated and nonsulfated variants in plants, we could unequivocally prove that tyrosine sulfation is critical for the potency of PG9 and RSH. Moreover, the fucose-free antibodies generated in N. benthamiana are capable of inducing antibody-dependent cellular cytotoxicity, an activity not observed for CHOPG9. Thus, tailoring of the antigen-binding site combined with glycan modulation and sulfoengineering yielded plant-produced anti–HIV-1 antibodies with effector functions superior to PG9 made in CHO cells.
Programmatic Orchestration of WiFi Networks

With wireless technologies becoming prevalent at the last hop, today's network operators need to manage WiFi access networks in unison with their wired counterparts. However, the non-uniformity of feature sets in existing solutions and the lack of programmability makes this a challenging task. This paper proposes Odin, an SDN-based solution to bridge this gap. With Odin, we make the following contributions: (i) Light Virtual Access Points (LVAPs), a novel programming abstraction for addressing the IEEE 802.11 protocol stack complexity, (ii) a design and implementation for a software-defined WiFi network architecture based on LVAPs, and (iii) a prototype implementation on top of commodity access point hardware without modifications to the IEEE 802.11 client, making it practical for today's deployments. To highlight the effectiveness of the approach we demonstrate six WiFi network services on top of Odin including load-balancing, mobility management, jammer detection, automatic channel-selection, energy management, and guest policy enforcement. To further foster the development of our framework, the Odin prototype is made publicly available.
Exploring Chemical Substructures Essential for hERG K+ Channel Blockade by Synthesis and Biological Evaluation of Dofetilide Analogues

In this study we followed a new approach to analyze molecular substructures required for hERG channel blockade. We designed and synthesized 40 analogues of dofetilide (1), a potent hERG potassium channel blocker, and established structure–activity relationships (SAR) for their interaction with this important cardiotoxicity‐related off‐target. Structural modifications to dofetilide were made by diversifying the substituents on the phenyl rings and the protonated nitrogen and by varying the carbon chain length. The analogues were evaluated in a radioligand binding assay and SAR data were derived with the aim to specify structural features that give rise to hERG toxicity.
Proposal and Validation of Usability Model for Component Based Software System

Increasing demand of rapid and cost effective development of software system has increased the demand of Component Based Software Engineering (CBSE). In CBSE, software system is developed by using existing components. These components can be in-house components or third party components. To develop a Component Based Software System (CBSS), it is important to select the suitable component in such a manner that the components of the software system do not affect each other. To increase the acceptance of the CBSS among the users and the market value of the software industries, it is important to increase the usability of the CBSS. Several usability models have been proposed for traditional and object-oriented software system (OOSS), but there is no usability model for CBSS. Existing traditional and object-oriented models can’t be perfectly suitable for CBSS because of the unique characteristics of the components. This paper presents a usability model (UMCBSS) for CBSS. The proposed usability model is based on most significant usability factors. These factors are analysed from CBSS quality models. With the help of proposed model, usability is evaluated by using two different techniques i.e., centroid method and bisector method in MATLAB. Experimental results are also validated by using Center of Gravity (COG) and Mean-Max method. With the help of the proposed model, developers of the CBSS will be able to measure the usability of CBSS and to remove the usability flaws from the software system .
Probabilistic Knowledge-Based Programs

We introduce Probabilistic Knowledge-Based Programs (PKBPs), a new, compact representation of policies for factored partially observable Markov decision processes. PKBPs use branching conditions such as if the probability of φ is larger than p, and many more. While similar in spirit to value-based policies, PKBPs leverage the factored representation for more compactness. They also cope with more general goals than standard state-based rewards, such as pure information-gathering goals. Compactness comes at the price of reactivity, since evaluating branching conditions on-line is not polynomial in general. In this sense, PKBPs are complementary to other representations. Our intended application is as a tool for experts to specify policies in a natural, compact language, then have them verified automatically. We study succinctness and the complexity of verification for PKBPs.
ACAT inhibition reverses LCAT deficiency and improves plasma HDL in chronic renal failure.

Chronic renal failure (CRF) is associated with increased risk of arteriosclerotic cardiovascular disease and profound alteration of plasma lipid profile. Uremic dyslipidemia is marked by increased plasma concentration of ApoB-containing lipoproteins and impaired high-density lipoprotein (HDL)-mediated reverse cholesterol transport. These abnormalities are, in part, due to acquired LCAT deficiency and upregulation of hepatic acyl-CoA:cholesterol acyltransferase (ACAT). ACAT catalyzes intracellular esterification of cholesterol, thereby promoting hepatic production of ApoB-containing lipoproteins and constraining HDL-mediated cholesterol uptake in the peripheral tissues. In view of the above considerations, we tested the hypothesis that pharmacological inhibition of ACAT may ameliorate CRF-induced dyslipidemia. 5/6 Nephrectomized rats were treated with either ACAT inhibitor IC-976 (30 mg.kg(-1). day(-1)) or placebo for 6 wk. Sham-operated rats served as controls. Key cholesterol-regulating enzymes, plasma lipids, and creatinine clearance were measured. The untreated CRF rats exhibited increased plasma low-density lipoprotein (LDL) and very LDL (VLDL) cholesterol, unchanged plasma HDL cholesterol, elevated total cholesterol-to-HDL cholesterol ratio, reduced liver microsomal free cholesterol, and diminished creatinine clearance. This was accompanied by reduced plasma LCAT, increased hepatic ACAT-2 mRNA, ACAT-2 protein and ACAT activity, and unchanged hepatic HMG-CoA reductase and cholesterol 7alpha-hydroxylase. ACAT inhibitor raised plasma HDL cholesterol, lowered LDL and VLDL cholesterol, and normalized total cholesterol-to-HDL cholesterol ratio without changing total cholesterol concentration (hence, a shift from ApoB-containing lipoproteins to HDL). This was accompanied by normalizations of hepatic ACAT activity and plasma LCAT. In conclusion, inhibition of ACAT reversed LCAT deficiency and improved plasma HDL level in CRF rats. Future studies are needed to explore the efficacy of ACAT inhibition in humans with CRF.
Bi-Level Classification of Color Indexed Image Histograms for Content based Image Retrieval

This dissertation proposes content based image classification and retrieval with Classification and Regression Tree (CART). A simple CBIR system (WH) is designed and proved to be efficient even in the presence of distorted and noisy images. WH exhibits good performance in terms of precision, without using any intensive image processing feature extraction techniques. Unique indexed color histogram and wavelet decomposition based horizontal, vertical and diagonal image attributes have been chosen as the primary attributes in the design of the retrieval system. The output feature vectors of the WH method serve as input to the proposed decision tree based image classification and retrieval system. The performance of the proposed content based image classification and retrieval system is evaluated with the standard SIMPLIcity dataset which has been used in several previous works. The performance of the system is measured with precision as the metric. Holdout validation and k-fold cross validation are used to validate the results. The proposed system performs obviously better than SIMPLIcity and all the other compared methods.