Miracle-dz/UniFAR-FTUs huggingface dataset:
Simian Immunodeficiency Virus (SIV) from Sun-Tailed Monkeys (Cercopithecus solatus): Evidence for Host-Dependent Evolution of SIV within the C. lhoestiSuperspecies

ABSTRACT Recently we reported the characterization of simian immunodeficiency virus (SIVlhoest) from a central African l’hoest monkey (Cercopithecus lhoesti lhoesti) that revealed a distant relationship to SIV isolated from a mandrill (SIVmnd). The present report describes a novel SIV (SIVsun) isolated from a healthy, wild-caught sun-tailed monkey (Cercopithecus lhoesti solatus), another member of the l’hoest superspecies. SIVsun replicated in a variety of human T-cell lines and in peripheral blood mononuclear cells of macaques (Macaca spp.) and patas monkeys (Erythrocebus patas). A full-length infectious clone of SIVsun was derived, and genetic analysis revealed that SIVsun was most closely related to SIVlhoest, with an amino acid identity of 71% in Gag, 73% in Pol, and 67% in Env. This degree of similarity is reminiscent of that observed between SIVagm isolates from vervet, grivet, and tantalus species of African green monkeys. The close relationship between SIVsun and SIVlhoest, despite their geographically distinct habitats, is consistent with evolution from a common ancestor, providing further evidence for the ancient nature of the primate lentivirus family. In addition, this observation leads us to suggest that the SIVmnd lineage should be designated the SIVlhoest lineage.
Anticipation guided proactive intention prediction for assistive robots

When a person is performing a task, a human observer usually makes guesses about the person’s intent by considering his/her own past experiences. Humans often do this when they are assisting another in completing a task. Making guesses not only involves solid evidence (observations), but also draws on anticipated evidence (intuition) to predict possible future intent. Benefits of guessing include, quick decision making, lower reliance on observations, intuitiveness, and naturalness. These benefits have inspired a proactive guess method that allows a robot to infer human intentions. These inferences are intended to be used by a robot to make predictions about the best way to assist humans. The proactive guess involves intention predictions which are guided by future-object anticipations. To collect anticipation knowledge for supporting a robot’s intuition, a reinforcement learning algorithm is adopted to summarize general object usage relationships from human demonstrations. To simulate overall intention knowledge in practical human-centered situations to support observations, we adopt a multi-class support vector machine (SVM) model which integrates both solid and anticipated evidence. With experiments from five practical daily scenarios, the proactive guess method is able to reliably make proactive intention predictions with a high accuracy rate.
Control Lyapunov function based receding horizon control for time-varying systems

A control Lyapunov function based scheme is proposed for the time-varying nonlinear optimal control problem. This scheme also inherits an extension to a receding horizon scheme, reaping the benefits of available online computation. In particular, these time-varying schemes are well suited to the trajectory tracking problem and are tested on a simple two-dimensional example.
Basic Beliefs About Wildlife and Migration: The Influence of the Prior State of Residence

ABSTRACT This study compared mean scores on four items from the appropriate use basic belief dimension of the domination wildlife value orientation scale between life-long Alaska residents and migrants to Alaska from the western United States. Basic beliefs were compared among the migrant-sourcing states. Data were collected through a mail survey; 2,264 questionnaires were completed (27% response rate) and 1,673 responses were included in this analysis. When aggregated, migrants scored lower on the appropriate use basic beliefs than life-long Alaskans (M = 4.8 vs. 4.2), but no significant differences were found among the migrant-sourcing states. Among the migrants, length of time living in Alaska and education were predictors of basic belief scores. Although migrants might be exerting a slightly less utilitarian force on Alaska’s dominant orientation toward wildlife, results also allow for the possibility that migrants with utilitarian-leaning views are choosing to move to Alaska.
Multi-element Resonant Topology Based on LCLC Circuit : Theory and Application

The paper deals with novel of multi-element resonant circuits and its modification and application. Main circuits consist of series LC resonant branches and of parallel LC sinusoidal output filters. Review of multi-element circuits which contains more accumulation tanks is presented. Its mathematical description; design of accumulation elements and simulation experiments are given in main chapters of paper. Furthermore, mainly is focus given for application field and on possibility of its variable use. Multi-element circuits meet the requirements of the current market as are: small value of THD, high power density and very high efficiency. Also, such special circuits manifest inners self-regulation which provides resistance to short circuit. The paper also shows analysis of transient properties too. Base on the selected circuits are suggested control methods. All simulation results are verified by experimental measurement created on physical sample. On the end the paper is discussed the application of this circuits and its possible variable use in industry. Key-Words: multi-element circuits; LCLC; NF modulation; power electronic systems; transient analysis; nonlinear; short-circuit proof system.
An unidentified variable gamma-ray source near the galactic plane detected by COMPTEL

We report the detection of an unidentified gamma-ray source near the Galactic plane by the COMPTEL experiment aboard the Compton Gamma-Ray Observatory. The source is detected at a significance level of similar to7.2sigma in the energy range 1-3 MeV and at similar to4.6sigma in the lower 0.75-1 MeV band in the time period March to July 1995. At energies above 3 MeV are only marginal hints or upper limits obtained. The MeV spectrum has a soft shape. Strong flux variability is found within one year at energies below 3 MeV. Possible counterparts of galactic and extragalactic nature are discussed.
Authoritative documents identification based on Nonnegative Matrix Factorization

Current techniques for authoritative documents identification (ADI) suffer two main drawbacks. On the one hand, results of several ADI algorithms cannot be interpreted in a straightforward manner. This symptom is observed for instance in the HITS family algorithms. On the other hand, accuracy of some ADI algorithms is poor. For instance, PHITS overcomes the interpretability issue of HITS at the price of a low accuracy. In this paper, we propose a new ADI algorithm, namely NHITS, which experimentally outperforms both HITS and PHITS in terms of interpretability and accuracy.
A 2 . 5 V High Linearity CMOS Mixer for 1 . 9 GHz Applications

A 1.9 GHz (RF) down conversion mixer has been designed in a standard 0. 25μ CMOS process. The local oscillator (LO) frequency is at 1.85 GHz. The mixer provides a voltage gain of 2.133 dB while drawing a current of 5.2 mA from a 2.5 V supply. The IIP3 of the mixer is 5.123 dBm and the -1dB compression is at -5.83 dBm. Detailed design process and simulation results are presented in this report.
A Multi-level Annotation Model for Fine-grained Opinion Detection in German Blog Comments

Subject of this paper is a fine-grained multilevel annotation model to enhance opinion detection in German blog comments. Up to now, only little research deals with the finegrained analysis of evaluative expressions in German blog comments. Therefore, we suggest a multi-level annotation model where different linguistic means as well as linguistic peculiarities of users’ formulation and evaluation styles in blog comments are considered. The model is intended as a basic scheme for the annotation of evaluative expressions in blog data. This annotation provides suitable features for implementing methods to automatically detect user opinions in blog comments.
Photometric Stereo: Lambertian Reflectance and Light Sources with Unknown Direction and Strength

This paper reconsiders the familiar case of photometric stereo under the assumption of Lambertian surface reflectance and three distant point sources of illumination. Here, it is assumed that the directions to and the relative strengths of the three light sources are not known {\it a priori}. Rather, estimation of these parameters becomes part of the problem formulation. \nEach light source is represented by a 3-D vector that points in the direction of the light source and has magnitude proportional to the strength of the light source. Thus, nine parameters are required to characterize the three light sources. It is shown that, regardless of object shape, triples of measured intensity values are constrained to lie on a quadratic surface having six degrees of freedom. Estimation of the six parameters of the quadratic surface allows the determination of the nine parameters of the light sources up to an unknown rotation. \nThis is sufficient to determine object shape, although attitude with respect to the world-based or the camera-based coordinate system can not be simultaneously recovered without additional information.
Engaging Academic Staff in Transnational Teaching: The Job Satisfaction Challenge

Transnational education (TNE) is an important facet of the international education learning and teaching landscape. Ensuring academics are positively engaged in TNE is a challenging but necessary issue for this form of educational provision if the risks inherent in TNE are to be successfully mitigated. This article explores job satisfaction for academics using the job characteristics model (JCM) to better understand the conditions that influence their involvement with TNE. The results highlight the important role that teaching-related interaction with host-country students and staff (the Feedback and Task Significance JCM dimensions) plays in academics’ satisfaction. Feelings of ownership and control of the TNE course (Autonomy and Task Identity) were also shown to be important determinants of satisfaction. It is therefore recommended that these aspects of TNE be encouraged and supported through university procedures and policies. Similarly, those aspects of TNE teaching that contribute to dissatisfaction, such as additional administration, need to be better understood, managed, and their impact mitigated where possible.
Ontologically Promiscuous Flat Logical Forms for Nlp

In this paper a at notation for logical forms is described. This notation allows the logical forms to be easy to build, easy to work with, and able to deal with ambiguity by underspeciication. The main mechanism to convert a logical form into the corresponding at form is the reiication of all the predicates and operators used in an otherwise nested expression. The resulting at logical forms are convenient for natural language processing applications that require the use of partial logical forms. In particular, it is shown how partial logical forms (encoded in at notation) can be used to perform answer extraction. In this paper we explore a notation for logical forms that can be useful for several Natural Language Processing (NLP) applications. The main goal is to provide a notation that is easy to build, easy to work with, and able to deal with ambiguity by underspeciication. In Section 1 we introduce the notation. In Section 2 we mention some of the most important features of this notation and how the resulting logical forms can be used for NLP. Finally, in Section 3 we explain the use of this notation for a particular NLP application, Answer Extraction.
Structural Health Monitoring With Whirlpool

We propose a novel data delivery strategy, called Whirlpool, for efficient SHM using Wireless Sensor Networks. Whirlpool implements a rotating interrogation of a monitoring structure and provides collision-aware scheduling of the monitoring queries. The Whirlpool strategy can be tuned for the required Quality of Data (QoD). We apply Whirlpool to examine the unique properties of output signals of the structure under critical integrity conditions and to perform instability detection using redundancy-based estimation of Kolmogorov-Sinai entropy.
Developing interventions to change recycling behaviors: A case study of applying behavioral science

ABSTRACT The Theoretical Domains Framework (TDF) and the Behavior Change Wheel (BCW) are frameworks that can be used to develop recycling interventions. The aim of this study was to demonstrate the utility of these frameworks for developing recycling interventions. 20 semistructured interviews with university building users were analyzed using the TDF and BCW. Environmental context and resources, beliefs about consequences, knowledge, and intention were identified as the key theoretical domains influencing recycling behaviors. The BCW was used to develop recommendations for intervention. This research is the first case study to demonstrate how the TDF and the BCW can be used to develop recycling interventions.
Metabolic syndrome in young Asian Indian patients with myocardial infarction

Summary Objectives This study assessed the prevalence of the metabolic syndrome and its impact on hospital outcomes in young South African Indians (≤ 45 years) with acute myocardial infarction (AMI) using both the National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) and the International Diabetes Federation (IDF) definitions. Methods and results: The study population comprised 389 patients with AMI. The metabolic syndrome as defined by the NCEP ATP III criteria was found in 235 (60%) patients and in 223 (57%) according to the IDF criteria, with only a 79% concordance between the two definitions. However, when ethnic-specific waist circumference cut-offs proposed by the IDF were used as a criterion for obesity in the NCEP ATP III definition, the number of patients with the metabolic syndrome increased significantly to 270 (69%) (p < 0.001). Elevated fasting blood glucose was the major NCEP ATP III determinant present in 86% of individuals. All determinants for both definitions were found more frequently in patients with the metabolic syndrome (p < 0.001). Although 44% of patients had triple-vessel disease on cardiac catheterisation studies, the frequency of adverse cardiovascular events during hospital stay was low, and was uninfluenced by the presence or absence of the metabolic syndrome. Conclusion The metabolic syndrome is a common finding in young Indian patients with AMI who frequently present with extensive atherosclerotic disease. Adverse event rate during hospital stay was low, and was unrelated to the presence of the metabolic syndrome. There was no significant difference in the prevalence rate of the metabolic syndrome as determined by either the NCEP ATP III or IDF definitions, but there was only a moderate level of agreement between the two definitions. Inclusion of ethnic-specific waist circumference cut-offs as the determinant of obesity in the NCEP definition may identify more accurately individuals at increased cardiometabolic risk and improve predication of the metabolic syndrome.
Oral and vocal fold diadochokinesis in dysphonic women

The evaluation of oral and vocal fold diadochokinesis (DDK) in individuals with voice disorders may contribute to the understanding of factors that affect the balanced vocal production. Scientific studies that make use of this assessment tool support the knowledge advance of this area, reflecting the development of more appropriate therapeutic planning. Objective To compare the results of oral and vocal fold DDK in dysphonic women and in women without vocal disorders. Material and methods For this study, 28 voice recordings of women from 19 to 54 years old, diagnosed with dysphonia and submitted to a voice assessment from speech pathologist and otorhinolaryngologist, were used. The control group included 30 nondysphonic women evaluated in prior research from normal adults. The analysis parameters like number and duration of emissions, as well as the regularity of the repetition of syllables "pa", "ta", "ka" and the vowels "a" and "i," were provided by the Advanced Motor Speech Profile program (MSP) Model-5141, version-2.5. 2 (KayPentax). The DDK sequence "pataka" was analyzed quantitatively through the Sound Forge 7.0 program, as well as manually with the audio-visual help of sound waves. Average values of oral and vocal fold DDK dysphonic and nondysphonic women were compared using the "t Student" test and were considered significant when p<0.05. Results The findings showed no significant differences between populations; however, the coefficient of variation of period (CvP) and jitter of period (JittP) average of the "ka," "a" and "i" emissions, respectively, were higher in dysphonic women (CvP=10.42%, 12.79%, 12.05%; JittP=2.05%, 6.05%, 3.63%) compared to the control group (CvP=8.86%; 10.95%, 11.20%; JittP=1.82%, 2.98%, 3.15%). Conclusion Although the results do not indicate any difficulties in oral and laryngeal motor control in the dysphonic group, the largest instability in vocal fold DDK in the experimental group should be considered, and studies of this ability in individuals with communication disorders must be intensified.
Metastases in axillary sentinel lymph nodes in breast cancer as detected by intensive histopathological work up.

AIM: To assess the value of the intensive histological work up of axillary sentinel lymph nodes (SLN) to demonstrate regional metastatic disease. METHODS: From a series of 58 successful lymphatic mapping procedures, 78 SLN were analysed by serial sections (mean of 49 levels/SLN) and by immunostaining to cytokeratin and epithelial membrane antigen, and the results compared with those obtained by assessing the central cross section. RESULTS: The central cross section would have failed to detect metastases in eight of 26 lymph nodes (31%) in patients with breast cancer metastasising to the SLN only. This would have led to a false negative node status in six of 21 patients (29%). Two micrometastases were detected with the aid of immunostains. CONCLUSIONS: The results suggest the need to examine SLN at multiple levels and to use immunohistochemistry in negative cases. Serial sections are also useful in the case of micrometastases, as some of these may convert to macrometastases at deeper levels. Multiple level investigation of SLN and immunohistochemistry in the event of the negativity of standard stains would result in improved staging and an increase in the proportion of node positive disease detected.
Robust Registration Using Parzen Windows ( Preprint )

This paper is concerned with image registration, i.e. establishing correspondence between objects in different images undergoing geometric and photometric transformations in the presence of occlusions and clutter. Challenges to accurate registration comes from three factors presence of background clutter, occlusion of the pattern being registered and change in feature values across images. We address all these concerns in this paper. A robust probabilistic estimation approach is presented based on representation of the target image and/ or the object using probability kernels a nonparametric pdf formulation. These representations are then matched in the space of density functions using a correlation metric. We demonstrate using a simple experiment the robustness of the presented formulation to both random occlusions and random background clutter. This approach has an added advantage of a simpler functional form which allows us to provide an efficient estimation algorithm that is provably convergent. To test the proposed framework on real data, we apply it to the problem of image alignment and tracking. We carry out statistical analysis on synthetic data and present results on real sequences for both cases.
Non-LBL Assembly and Encapsulation Uses of Nanoparticle-Shelled Hollow Spheres

Nanoparticles (NPs, diameter range of 1–100 nm) can have sizedependent physical and electronic properties that are useful in a variety of applications. Arranging them into hollow shells introduces the additional functionalities of encapsulation, storage, and controlled release that the constituent NPs do not have.This chapter examines recent developments in the synthesis routes and properties of hollow spheres formed out of NPs. Synthesis approaches reviewed here are recent developments in the electrostatics-based tandem assembly and interfacial stabilization routes to the formation of NP-shelled structures. Distinct from the well-established layer-by-layer (LBL) synthesis approach, the former route leads to NP/polymer composite hollow spheres that are potentially useful in medical therapy, catalysis, and encapsulation applications. The latter route is based on interfacial activity and stabilization by NPs with amphiphilic properties, to generate materials like colloidosomes, Pickering emulsions, and foams. The varied types of NP shells can have unique materials properties that are not found in the NP building blocks, or in polymer-based, surfactant-based, or LBL-assembled capsules.
Combining a rule-based classifier with ensemble of feature sets and machine learning techniques for sentiment analysis on microblog

Microblog, especially Twitter, have become an integral part of our daily life, where millions of users sharing their thoughts daily because of its short length characteristics and simple manner of expression. Monitoring and analyzing sentiments from such massive Twitter posts provide enormous opportunities for companies and other organizations to estimate the user acceptance of their products and services. But the ever-growing unstructured and informal user-generated posts in Twitter demands sentiment analysis tools that can automatically infer sentiments from Twitter posts. In this paper, we propose an approach for sentiment analysis on Twitter, where we combine a rule-based classifier with a majority voting based ensemble of supervised classifiers. We introduce a set of rules for the rule-based classifier based on the occurrences of emoticons and sentiment-bearing words. To train the supervised classifiers, we extract a set of features grouped into Twitter specific features, textual features, parts-of-speech (POS) features, lexicon based features, and bag-of-words (BoW) feature. A supervised feature selection method based on the chi-square statistics (χ2) and information gain (IG) is applied to select the best feature combination. We conducted our experiments on Stanford sentiment140 dataset. Experimental results demonstrate the effectiveness of our method over the baseline and known related work.
Abstract—named Entities Are Perhaps the Most Important Indexing Element in Text for Most of the Information Extraction and Mining Tasks. Construction of a Named Entity Recognition

(NER) system becomes challenging if proper resources are not available. Gazetteer lists are often used for the development of NER systems. In many resource-poor languages gazetteer lists of proper size are not available, but sometimes relevant lists are available in English. Proper transliteration makes the English lists useful in the NER tasks for such languages. In this paper, we have described a Maximum Entropy based NER system for Hindi. We have explored different features applicable for the Hindi NER task. We have incorporated some gazetteer lists in the system to increase the performance of the system. These lists are collected from the web and are in English. To make these English lists useful in the Hindi NER task, we have proposed a two-phase transliteration methodology. A considerable amount of performance improvement is observed after using the transliteration based gazetteer lists in the system. The proposed transliteration based gazetteer preparation methodology is also applicable for other languages. Apart from Hindi, we have applied the transliteration approach in Bengali NER task and also achieved performance improvement.