Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of word normalization in English document clustering

Stemming or lemmatization method is a key step in English document processing. Based on three clustering algorithms and two evaluation functions, the paper makes a comprehensive study about two stemming algorithms and one lemmatization algorithm. According to the experimental result, it shows that the performance is not remarkable, compared with Snowball stemmer and Stanford lemmatization, Porter stemmer can make a better performance in entropy and purity.
A Unified Framework of the Shared Aesthetic Experience

1 Introduction . 2 Theoretical Foundation . 5 Processing Fluency Theory . 5 Two-­‐Step for the Dynamic Changes of Aesthetic Appreciation . 7 Information-­‐Processing Model . 9 Mirror Model of Art-­‐Making and Art-­‐Viewing . 10 Perception . 13 Symmetry . 14 Figure-­‐Ground Contrast . 15 Complexity . 16 Single Color Preference . 16 Artists as Neuroscientists . 17 Mere Exposure & Active Elaboration . 19 Visual Perceptual Learning . 21 Cognition . 22 Attention-­‐Driven Cognitive Mastering . 22 Shared Fluency . 23 Affect . 25 Aesthetic Emotion vs. Utilitarian Emotion . 25 Prototypical Emotional Response . 26 Social Factors . 28 Expectation & Context . 28 Shared Fluency . 29 Discussion . 30 Bibliography . 32
Fast Distributed Gradient Methods

We study distributed optimization problems when N nodes minimize the sum of their individual costs subject to a common vector variable. The costs are convex, have Lipschitz continuous gradient (with constant L), and bounded gradient. We propose two fast distributed gradient algorithms based on the centralized Nesterov gradient algorithm and establish their convergence rates in terms of the per-node communications K and the per-node gradient evaluations k. Our first method, Distributed Nesterov Gradient, achieves rates O( logK/K) and O(logk/k). Our second method, Distributed Nesterov gradient with Consensus iterations, assumes at all nodes knowledge of L and μ(W) - the second largest singular value of the N ×N doubly stochastic weight matrix W. It achieves rates O( 1/ K2-ξ) and O( 1/k2) ( ξ > 0 arbitrarily small). Further, we give for both methods explicit dependence of the convergence constants on N and W. Simulation examples illustrate our findings.
TRB3 Gene Silencing Alleviates Diabetic Cardiomyopathy in a Type 2 Diabetic Rat Model

OBJECTIVE Tribbles 3 (TRB3) is associated with insulin resistance, an important trigger in the development of diabetic cardiomyopathy (DCM). We sought to determine whether TRB3 plays a major role in modulating DCM and the mechanisms involved. RESEARCH DESIGN AND METHODS The type 2 diabetic rat model was induced by high-fat diet and low-dose streptozotocin. We evaluated the characteristics of type 2 DCM by serial echocardiography and metabolite tests, Western blot analysis for TRB3 expression, and histopathologic analyses of cardiomyocyte density, lipids accumulation, cardiac inflammation, and fibrosis area. We then used gene silencing to investigate the role of TRB3 in the pathophysiologic features of DCM. RESULTS Rats with DCM showed severe insulin resistance, left ventricular dysfunction, aberrant lipids deposition, cardiac inflammation, fibrosis, and TRB3 overexpression. We found that the silencing of TRB3 ameliorated metabolic disturbance and insulin resistance; myocardial hypertrophy, lipids accumulation, inflammation, fibrosis, and elevated collagen I-to-III content ratio in DCM rats were significantly decreased. These anatomic findings were accompanied by significant improvements in cardiac function. Furthermore, with TRB3 gene silencing, the inhibited phosphorylation of Akt was restored and the increased phosphorylation of extracellular signal–regulated kinase 1/2 and Jun NH2-terminal kinase in DCM was significantly decreased. Conclusions. TRB3 gene silencing may exert a protective effect on DCM by improving selective insulin resistance, implicating its potential role for treatment of human DCM.
Species From the Heliothinae Complex (Lepidoptera: Noctuidae) in Tucumán, Argentina, an Update of Geographical Distribution of Helicoverpa armigera

The Heliothinae complex in Argentina encompasses Helicoverpa gelotopoeon (Dyar), Helicoverpa zea (Boddie), Helicoverpa armigera (Hübner), and Chloridea virescens (Fabricius). In Tucumán, the native species H. gelotopoeon is one of the most voracious soybean pests and also affects cotton and chickpea, even more in soybean-chickpea succession cropping systems. Differentiation of the Heliothinae complex in the egg, larva, and pupa stages is difficult. Therefore, the observation of the adult wing pattern design and male genitalia is useful to differentiate species. The objective of this study was to identify the species of the Heliothinae complex, determine population fluctuations of the Heliothinae complex in soybean and chickpea crops using male moths collected in pheromone traps in Tucuman province, and update the geographical distribution of H. armigera in Argentina. The species found were H. gelotopoeon, H. armigera, H. zea, and C. virescens. Regardless of province, county, crop, and year, the predominant species was H. gelotopoeon. Considering the population dynamics of H. gelotopoeon and H. armigera in chickpea and soybean crops, H. gelotopoeon was the most abundant species in both crops, in all years sampled, and the differences registered were significant. On the other hand, according to the Sistema Nacional Argentino de Vigilancia y Monitoreo de Plagas (SINAVIMO) database and our collections, H. armigera was recorded in eight provinces and 20 counties of Argentina, and its larvae were found on soybean, chickpea, sunflower crops and spiny plumeless thistle (Carduus acanthoides). This is the first report of H. armigera in sunflower and spiny plumeless thistle in Argentina.
Fitting virtual lights for non-diffuse walkthroughs

This paper describes a technique for using a simple shading method, such as the Phong lighting model, to approximate the appearance calculated by a more accurate method. The results are then suitable for rapid display using existing graphics hardware and portable via standard graphics API’s. Interactive walkthroughs of view-independent non-diﬀuse global illumination solutions are explored as the motivating application.
On top-k recommendation using social networks

Recommendation accuracy can be improved by incorporating trust relationships derived from social networks. Most recent work on social network based recommendation is focused on minimizing the root mean square error (RMSE). Social network based top-k recommendation, which recommends to a user a small number of items at a time, is not well studied. In this paper, we conduct a comprehensive study on improving the accuracy of top-k recommendation using social networks. We first show that the existing social-trust enhanced Matrix Factorization (MF) models can be tailored for top-k recommendation by including observed and missing ratings in their training objective functions. We also propose a Nearest Neighbor (NN) based top-k recommendation method that combines users' neighborhoods in the trust network with their neighborhoods in the latent feature space. Experimental results on two publicly available datasets show that social networks can significantly improve the top-k hit ratio, especially for cold start users. Surprisingly, we also found that the technical approach for combining feedback data (e.g. ratings) with social network information that works best for minimizing RMSE works poorly for maximizing the hit ratio, and vice versa.
Double-DIP: Augmenting DIP with Adaptive Promotion Policies to Manage Shared L2 Caches

A self-timed latch circuit according to the present invention includes a first inverter for inverting a set signal, a second inverter for inverting a reset signal, a first main driver driven by an output signal from the second inverter and the set signal, a second main driver driven by an output signal from the first inverter and the reset signal and a static latch cross-coupled with first and second output terminals of the first and second main drivers. The self-timed latch circuit according to the present invention reduces the power consumption and increases the operation speed of the circuit by removing a back-to-back connection and a serial connection of transistors applied to the conventional art. Further, since the static latch consists of cross-coupled inverters, the self-timed latch circuit according to the present invention prevents signal fighting during the logic transition of output signals and also reduces a leakage current generated during the operation of the circuit.
Organization of Disaster Aid Delivery: Spending Your Donations

This article examines how different organizational structures in disaster aid delivery affect house aid quality. We analyze three waves of survey data on fishermen and fishing villages in Aceh, Indonesia, following the 2004 tsunami. We categorize four organizational structures based on whether and to whom donors contract aid implementation. Compared to bilateral contracting between donors and implementers, donors that vertically integrate and do their own implementation offer the highest-quality housing as rated by village heads and have fewer counts of faults, such as leaky roofs and cracked walls, as reported by fishermen. However, they shade in quality as they lose dominance as the leading aid agency in a village. Domestic implementers and the government agency that was responsible for significant portions of aid delivery provide significantly lower-quality aid. We also examine how the imposition of shared ownership, the primary social agenda for boat aid agencies, affects boat aid quality. We find that village and fishing leaders steer poor-quality boats toward those whom shared ownership was imposed upon, often lower-status fishermen.
Microsoft Word - Finding More Non-supersingular Elliptic Curves for Pairing..

One of the most growing areas in the embedded community is multimedia devices. Multimedia devices incorporate a number of complicated functions for their operation, like motion estimation. A multitude of different implementations have been proposed to reduce motion estimation complexity, such as spiral search. We have studied the implementations of spiral search and identified areas of improvement. We propose a modified spiral search motion estimation algorithm, with lower computational complexity compared to the original spiral search. We have implemented our algorithm on an embedded ARM based architecture, with custom memory hierarchy. The resulting system yields lower energy consumption and higher performance, with some penalty in image quality, compared with the original spiral search algorithm. Keywords—Spiral Search, Motion Estimation, Embedded Systems.
Validation of a rectal cancer outcome prediction model with a cohort of Chinese patients

The risk of local recurrence (LR), distant metastases (DM) and overall survival (OS) of locally advanced rectal cancer after preoperative chemoradiation can be estimated by prediction models and visualized using nomograms, which have been trained and validated in European clinical trial populations. Data of 277 consecutive locally advanced rectal adenocarcinoma patients treated with preoperative chemoradiation and surgery from Shanghai Cancer Center, were retrospectively collected and used for external validation. Concordance index (C-index) and calibration curves were used to assess the performance of the previously developed prediction models in this routine clinical validation population. The C-index for the published prediction models was 0.72 ± 0.079, 0.75 ± 0.043 and 0.72 ± 0.089 in predicting 2-year LR, DM and OS in the Chinese population, respectively. Kaplan-Meier curves indicated good discriminating performance regarding LR, but could not convincingly discriminate a low-risk and medium-risk group for distant control and OS. Calibration curves showed a trend of underestimation of local and distant control, as well as OS in the observed data compared with the estimates predicted by the model. In conclusion, we externally validated three models for predicting 2-year LR, DM and OS of locally advanced rectal cancer patients who underwent preoperative chemoradiation and curative surgery with good discrimination in a single Chinese cohort. However, the model overestimated the local control rate compared to observations in the clinical cohort. Validation in other clinical cohorts and optimization of the prediction model, perhaps by including additional prognostic factors, may enhance model validity and its applicability for personalized treatment of locally advanced rectal cancer.
Finding authorities and hubs from link structures on the World Wide Web

Recently, there have been a number of algorithms proposed for analyzing hypertext link structure so as to determine the best “authorities” for a given topic or query. While such analysis is usually combined with content analysis, there is a sense in which some algorithms are deemed to be “more balanced” and others “more focused”. We undertake a comparative study of hypertext link analysis algorithms. Guided by some experimental queries, we propose some formal criteria for evaluating and comparing link analysis algorithms.
Complex difffusion based image inpainting

Image inpainting is the meaningful reconstruction of lost, damaged or unwanted portions of an image by using the information from the proper undamaged portions of the same image. Image inpainting is an important process in image pro- cessing and has numerous applications in heritage conservation, restoration of old photographs, removal of occlusions, special effects in photos and so on. Here we replace the unwanted object by the information available from its neighbourhood. We present an algorithm that improves both the clarity and speed using a Complex-diffusion based approach. Complex-diffusion based approach for inpainting overcomes the shortcomings such as stair- case effect and excessive blurring caused by Partial Differential Equation based approaches. Our method outperforms the existing methods in terms of PSNR, SSIM and UIQI values.
Integrated dual nanoprobe-microfluidic system for single cell penetration

This paper presents the results in single cell intracellular penetration using the integrated dual nanoprobe-microfluidic system. Current technique for single cell penetration is using a manual controlled nanomanipulator which been attached with a nanoprobe. Due to this, successful single cell penetration depends on the operator skills. We proposed an integrated dual nanoprobe-microfluidic system. The system was being developed to reduce the requirement for skilled operator in single cell electrical measurement. We tested the system function for single cell penetration via finite element simulation. Based on the results, the single cell can be penetrated at fluid velocity of 5.3 μm/s. Currently, the developed system is suitable for cell viability detection application. However, this system has the potential to be used in single cell thermal measurement, single cell drug delivery, and early disease diagnosis.
Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach

Biometric cryptosystems have been applied to secure secret keys for encryption and digital signatures by means of biometric traits, e.g., Fingerprint, face, etc., where the fuzzy vault (FV) mechanism has been extensively employed. Recently, the authors proposed a FV system based on the offline signature images, so that digitized documents can be secured with the embedded handwritten signatures. However, the FV design concerns mostly with alleviating biometric variability with less focusing on its power in discriminating forgeries. Accordingly, the decoding accuracy of implementations is below the level required in practical banking transactions. On the other hand, signature verification (SV) systems have shown higher accuracy in discriminating forgeries. In this paper, accuracy of signature-based biometric cryptosystems is enhanced by cascading SV and FV modules. Signature samples are first verified by the SV module. Then, only verified samples are processed by FV decoders for unlocking cryptographic keys. Hence, the upper limit of the false accept rate is determined by the more accurate SV module. Simulation results obtained with the Brazilian signature database indicate the viability of the proposed approach. Cascaded SV-FV system increases decoding accuracy by about 35% compared to the pure FV systems.
Put that where? voice and gesture at the graphics interface

A person stands in front of a large projection screen on which is shown a checked floor. They say, "Make a table," and a wooden table appears in the middle of the floor. "On the table, place a vase," they gesture using a fist relative to palm of their other hand to show the relative location of the vase on the table. A vase appears at the correct location. "Next to the table place a chair. " A chair appears to the right of the table. "Rotate it like this," while rotating their hand causes the chair to turn towards the table. "View the scene from this direction," they say while pointing one hand towards the palm of the other. The scene rotates to match their hand orientation.In a matter of moments, a simple scene has been created using natural speech and gesture. The interface of the future? Not at all; Koons, Thorisson and Bolt demonstrated this work in 1992 [23]. Although research such as this has shown the value of combining speech and gesture at the interface, most computer graphics are still being developed with tools no more intuitive than a mouse and keyboard. This need not be the case. Current speech and gesture technologies make multimodal interfaces with combined voice and gesture input easily achievable. There are several commercial versions of continuous dictation software currently available, while tablets and pens are widely supported in graphics applications. However, having this capability doesn't mean that voice and gesture should be added to every modeling package in a haphazard manner. There are numerous issues that must be addressed in order to develop an intuitive interface that uses the strengths of both input modalities.In this article we describe motivations for adding voice and gesture to graphical applications, review previous work showing different ways these modalities may be used and outline some general interface guidelines. Finally, we give an overview of promising areas for future research. Our motivation for writing this is to spur developers to build compelling interfaces that will make speech and gesture as common on the desktop as the keyboard and mouse.
A web-based system for connecting undergraduate students and researchers via textbooks for multi-disciplinary , research-oriented education

An application of the University on Textbooks (UoT) system to a web-based platform for supporting organic growth of an knowledge network related to sustainability science is described. The UoT system, which aims to help university students learn about cutting-edge research at their university through the medium of textbooks, uses a description logics reasoner to generate semantic links between ontology-based descriptors of topics in textbooks and of research articles. Those semantic links enable students to navigate between well-structured introductory materials provided by textbooks and advanced research on specific topics presented in research articles. The new UoT system maps sections from the book “Vision 2050: A Roadmap for a Sustainable Earth” to research articles and web pages of researchers at the University of Tokyo studying issues related to sustainability, energy and materials. The system is described, and implications for supporting education in highly multidisciplinary subjects such as sustainability science are discussed.
Comparison of Fault-Tolerant Operations for Permanent-Magnet Hybrid Brushless Motor Drive

The permanent-magnet hybrid brushless (PMHB) motor adopts both DC field windings and PMs for excitation. It not only offers effective online flux control, but also flexible brushless DC (BLDC) or brushless AC (BLAC) operations. The key of this paper is to investigate two remedial strategies for fault-tolerant operations of the PMHB motor drive under open-circuit faults. First, by utilizing field excitation boosting, the reduced torque due to one phase loss can be remedied, the so-called remedial BLDC operation mode. Second, by reconstructing armature fields due to the healthy phase currents, the reduced torque can also be remedied, the so-called remedial BLAC operation mode. Finally, these two remedial operation modes are compared and verified by experimentation, hence confirming the validity of the proposed fault-tolerant PMHB motor drive.
Measuring Acoustic-Prosodic Entrainment with Respect to Multiple Levels and Dimensions

In conversation, speakers become more like each other in various dimensions. This phenomenon, commonly called entrainment, coordination, or alignment, is widely believed to be crucial to the success and naturalness of human interactions. We investigate entrainment in four acoustic and prosodic dimensions. We explore whether speakers coordinate with each other in these dimensions over the conversation as a whole as well as on a turn-by-turn basis and in both relative and absolute terms, and whether this coordination improves over the course of the conversation.
Neurology and the liver

Neurological syndromes commonly occur in patients with liver disease. A neurological syndrome associated with a liver disease may be a complication of the disease, it may be induced by a factor that also contributes to the disease—for example, alcohol—or it may have no relation to the presence of the liver disease. Neurological deficits associated with liver disease may affect the CNS, the peripheral nervous system, or both. This review focuses on syndromes characterised by altered CNS function associated with structural liver diseases. Space does not permit consideration of peripheral neuropathies associated with liver disease (for example, xanthomatous peripheral neuropathy), diseases of childhood that affect the liver and CNS (for example, Reye’s syndrome), or neurological consequences of hepatic lesions characterised by specific enzyme deficiencies (for example, congenital hyperammonaemias, the porphyrias, kernicterus, galactosaemia, and Zellweger’s syndrome (cerebrohepatorenal syndrome)). That there is a relationship between the functional status of the liver and that of the brain has been known for centuries.1 The most widely recognised aspect of this relation is that hepatocellular failure may be complicated by the behavioural syndrome of hepatic encephalopathy, in which neurotransmission in the brain is altered.2 3 Recently, it has been suggested that two other behavioural complications of liver disease, scratching due to pruritus in cholestatic patients4 5 and profound fatigue in patients with chronic cholestasis,6 7 may also be associated with altered neurotransmission in the brain. ### DEFINITIONS AND CLASSIFICATION The term hepatic encephalopathy refers to the syndrome of neuropsychiatric disturbances that may arise as a complication of acute, subacute, or chronic hepatocellular failure. The syndrome is associated with increased portal-systemic shunting of gut derived constituents of portal venous blood, due to their impaired extraction by the failing liver and, in most instances, their passage through intrahepatic and/or extrahepatic portal-systemic venous collateral channels. The term portal-systemic encephalopathy …