Miracle-dz/UniFAR-FTUs huggingface dataset:
Planning for Social Interaction in a Robot Bartender Domain

A robot coexisting with humans must not only be able to perform physical tasks, but must also be able to interact with humans in a socially appropriate manner. In many social settings, this involves the use of social signals like gaze, facial expression, and language. In this paper, we describe an application of planning to task-based social interaction using a robot that must interact with multiple human agents in a simple bartending domain. We show how social states are inferred from low-level sensors, using vision and speech as input modalities, and how we use the knowledge-level PKS planner to construct plans with task, dialogue, and social actions, as an alternative to current mainstream methods of interaction management. The resulting system has been evaluated in a real-world study with human subjects.
Discovering knowledge from mobile application users for usability improvement: A fuzzy association rule mining approach

The usages of mobile application have increased rapidly in recent days. It is also becoming more popular in recent business applications where multiple users are connected through a mobile application to complete the business circle. In this aspect, the demand of quality mobile application is increasing. Usability is the main quality factor for enhancing the quality of application. For this reason, the usability improvement is getting more priority for this kind of application. So, discovering the experiences of the users can lead to improving the usability of mobile application. For this, we introduce Fuzzy Association Rule algorithm (FAR) based on fuzzy association rule mining to discover the experience from the mobile application's users. To validate our approach, we consider a supply change management system where multiple users are linked through the mobile application. In this paper, we examine twelve usability factors that are extracted from ten usability evaluation models to improve the usability. After conducting our experiment, we get knowledge from the users of the mobile application that can be used for the improvement of usability. We get several experiment outcomes and knowledge that can be implemented in practices.
Flexible iridescent nanocrystalline cellulose film, and a method for the preparation

Flexible nanocrystalline cellulose film (NCC), while retaining the properties of adjustable colors, including polymers. Polymers, for example, PVOH and SB- latex is effective in increasing the flexibility of the NCC film. NCC film made with PVOH holds good iridescent from NCC film made with SB- latex. However, NCC film made with SB- latex has a better tensile strength. In addition, NCC film made with PVOH has been found to be easily dispersed in water, NCC film made with SB latex is not dispersed in water (strong water resistance). The color of PVOH and SB- latex NCC film made with, using the technique for adjusting, it can still be adjusted.
Effect of Graphene Coating on the Heat Transfer Performance of a Composite Anti-/Deicing Component

The thermal conductivity of a graphene coating for anti-/deicing is rarely studied. This paper presents an improved anti-/deicing efficiency method for composite material anti-/deicing by using the heat-transfer characteristic of a graphene coating. An anti-/deicing experiment was conducted using the centrifugal force generated by a helicopter rotor. Results showed that the graphene coating can accelerate the internal heat transfer of the composite material, thereby improving the anti-icing and deicing efficiency of the helicopter rotor. The spraying process parameters, such as coating thickness and spraying pressure, were also studied. Results showed that reducing coating thickness and increasing spraying pressure are beneficial in preparing a graphene coating with high thermal conductivity. This study provides an experimental reference for the application of a graphene coating in anti-/deicing.
NUSTAR, SWIFT, AND GROND OBSERVATIONS OF THE FLARING MEV BLAZAR PMN J0641−0320

MeV blazars are a sub-population of the blazar family, exhibiting larger-than-average jet powers, accretion luminosities, and black hole masses. Because of their extremely hard X-ray continua, these objects are best studied in the X-ray domain. Here, we report on the discovery by the Fermi Large Area Telescope and subsequent follow-up observations with NuSTAR, Swift, and GROND of a new member of the MeV blazar family: PMN J0641−0320. Our optical spectroscopy provides confirmation that this is a flat-spectrum radio quasar located at a redshift of z = 1.196. Its very hard NuSTAR spectrum (power-law photon index of ∼1 up to ∼80 keV) indicates that the emission is produced via inverse Compton scattering off of photons coming from outside the jet. The overall spectral energy distribution of PMN J0641−0320 is typical of powerful blazars and, using a simple one-zone leptonic emission model, we infer that the emission region is located either inside the broad line region or within the dusty torus.
The Influence of Industrial Transfer on Regional Total Factor Productivity and Its Path Analysis

Based on the industry assets and input-output data of labor-intensive industries in China from 1997 to 2016, this paper empirically tests the impact of industrial transfer on regional total factor productivity and its impact path through panel VAR and mediation effect models. The study found that: (1) China's labor-intensive industry transfer significantly affects regional total factor productivity, in which industrial transfer increases the total factor productivity of industrial transfer and reduces the total factor productivity of industrial support; (2) industrial transfer significantly affectes the total factor productivity by its impact on human capital. Finally, the corresponding countermeasures and suggestions are put forward. Keywords—Industrial transfer; Total factor productivity; Panel VAR; Mediation effect model
Korean Addenbrooke's Cognitive Examination Revised (K‐ACER) for differential diagnosis of Alzheimer's disease and subcortical ischemic vascular dementia

Aim: Sensitive, specific neuropsychological screening tests, such as the Addenbrooke's Cognitive Examination Revised (ACE‐R), are essential for dementia diagnosis. We aimed to validate the use of the Korean version of ACE‐R (K‐ACER) to differentiate Alzheimer's disease (AD) from subcortical ischemic vascular dementia (SIVD).
Structural Changes of Gut Microbiota during Berberine-Mediated Prevention of Obesity and Insulin Resistance in High-Fat Diet-Fed Rats

Berberine, a major pharmacological component of the Chinese herb Coptis chinensis, which was originally used to treat bacterial diarrhea, has recently been demonstrated to be clinically effective in alleviating type 2 diabetes. In this study, we revealed that berberine effectively prevented the development of obesity and insulin resistance in high-fat diet (HFD)-fed rats, which showed decreased food intake. Increases in the levels of serum lipopolysaccharide-binding protein, monocyte chemoattractant protein-1, and leptin and decrease in the serum level of adiponectin corrected for body fat in HFD-fed rats were also significantly retarded by the co-administration of berberine at 100 mg/kg body weight. Bar-coded pyrosequencing of the V3 region of 16S rRNA genes revealed a significant reduction in the gut microbiota diversity of berberine-treated rats. UniFrac principal coordinates analysis revealed a marked shift of the gut microbiota structure in berberine-treated rats away from that of the controls. Redundancy analysis identified 268 berberine-responding operational taxonomic units (OTUs), most of which were essentially eliminated, whereas a few putative short-chain fatty acid (SCFA)-producing bacteria, including Blautia and Allobaculum, were selectively enriched, along with elevations of fecal SCFA concentrations. Partial least square regression models based on these 268 OTUs were established (Q2>0.6) for predicting the adiposity index, body weight, leptin and adiponectin corrected for body fat, indicating that these discrete phylotypes might have a close association with the host metabolic phenotypes. Taken together, our findings suggest that the prevention of obesity and insulin resistance by berberine in HFD-fed rats is at least partially mediated by structural modulation of the gut microbiota, which may help to alleviate inflammation by reducing the exogenous antigen load in the host and elevating SCFA levels in the intestine.
Multiple Random Walks in Random Regular Graphs

We study properties of multiple random walks on a graph under various assumptions of interaction between the particles. To give precise results, we make the analysis for random regular graphs. The cover time of a random walk on a random $r$-regular graph was studied in [C. Cooper and A. Frieze, SIAM J. Discrete Math., 18 (2005), pp. 728-740], where it was shown with high probability (whp) that for $r\geq3$ the cover time is asymptotic to $\theta_r n\ln n$, where $\theta_r=(r-1)/(r-2)$. In this paper we prove the following (whp) results, arising from the study of multiple random walks on a random regular graph $G$. For $k$ independent walks on $G$, the cover time $C_G(k)$ is asymptotic to $C_G/k$, where $C_G$ is the cover time of a single walk. For most starting positions, the expected number of steps before any of the walks meet is $\theta_r n/\binom{k}{2}$. If the walks can communicate when meeting at a vertex, we show that, for most starting positions, the expected time for $k$ walks to broadcast a single piece of information to each other is asymptotic to $\frac{2\ln k}{k}\theta_r n$ as $k,n\rightarrow\infty$. We also establish properties of walks where there are two types of particles, predator and prey, or where particles interact when they meet at a vertex by coalescing or by annihilating each other. For example, the expected extinction time of $k$ explosive particles ($k$ even) tends to $(2\ln2)\theta_r n$ as $k\rightarrow\infty$. The case of $n$ coalescing particles, where one particle is initially located at each vertex, corresponds to a voter model defined as follows: Initially each vertex has a distinct opinion, and at each step each vertex changes its opinion to that of a random neighbor. The expected time for a unique opinion to emerge is the same as the expected time for all the particles to coalesce, which is asymptotic to $2\theta_r n$. Combining results from the predator-prey and multiple random walk models allows us to compare expected detection times of all prey in the following scenarios: Both the predator and the prey move randomly, the prey moves randomly and the predators stay fixed, and the predators move randomly and the prey stays fixed. In all cases, with $k$ predators and $\ell$ prey the expected detection time is $\theta_r H_{\ell}n/k$, where $H_{\ell}$ is the $\ell$th harmonic number.
Matching Fingerphotos to Slap Fingerprint Images

We address the problem of comparing fingerphotos, fingerprint images from a commodity smartphone camera, with the corresponding legacy slap contact-based fingerprint images. Development of robust versions of these technologies would enable the use of the billions of standard Android phones as biometric readers through a simple software download, dramatically lowering the cost and complexity of deployment relative to using a separate fingerprint reader. Two fingerphoto apps running on Android phones and an optical slap reader were utilized for fingerprint collection of 309 subjects who primarily work as construction workers, farmers, and domestic helpers. Experimental results show that a True Accept Rate (TAR) of 95.79 at a False Accept Rate (FAR) of 0.1% can be achieved in matching fingerphotos to slaps (two thumbs and two index fingers) using a COTS fingerprint matcher. By comparison, a baseline TAR of 98.55% at 0.1% FAR is achieved when matching fingerprint images from two different contact-based optical readers. We also report the usability of the two smartphone apps, in terms of failure to acquire rate and fingerprint acquisition time. Our results show that fingerphotos are promising to authenticate individuals (against a national ID database) for banking, welfare distribution, and healthcare applications in developing countries.
Migration to object oriented platforms: a state transformation approach

It has become evident that the benefits of object orientation warrant the design and development of reengineering methods that aim to migrate legacy procedural systems to modern object oriented platforms. However, most research efforts in this direction focus mostly on the extraction of an object model from the legacy procedural code without taking into account quality requirements for the target migrant system. This paper presents a reengineering workbench that allows for quality requirements of the target system to be modeled as soft-goals and software transformations to be applied selectively towards achieving specific quality requirements for the target system. In this context, the migration process is denoted by a sequence of transformations that alter the state of the system being reengineered. A Markov model approach and the Viterbi algorithm are used to identify the optimal sequence of transformations that can be applied at any given state of the migration process. For the evaluation of the proposed workbench, a migration experiment of gnu AVL tree libraries is presented.
Topographic Features of Five K-file Brands in Iranian Market: A Scanning Electron Microscopic Study

Introduction: Endodontic files which are used to clean and shape the root canal space differ from each other regarding technical specifications. Recently, K-type files are repeatedly studied on their cutting efficiency. This study aims to evaluate the tip design and cutting efficiency of 5 brands of K-files, available in Iran dental market (naming Dentsply, Thomas, Mani, Perfect and Larmrose). Methods and Materials: In this descriptive study, topographic features of file tips were investigated by the scanning electron microscope (SEM). Those features included tip symmetry, tip design, tip angle, and the distance from the tip to the lowest flute. SEM images (×250 magnification) of files were prepared. Statistical tests (Fisher's exact test, Chi-square, ANOVA, and t test) were used and P<0.05 was considered as significant. Results: Dentsply files had the most number of morphologically pyramidal sharp tips and the greatest tip angles. However, Larmrose files were the most frequent files having cutting sharp tips. Symmetrical tips existed among 100% of Dentsply and Mani brands. No significant differences were found with respect to distance from the file tip to the lowermost flute between different file brands of this study (P=0.2, One way ANOVA). Conclusion: Dentsply and Mani files possessed the most symmetrical tips and greatest tip angles. With respect to tip length, all 5 brands were satisfactory. However, neither of 5 brands evaluated topographically were outstanding in every aspect.
White coat hypertension: time for action.

Although increased blood pressure is one of the most powerful predictors of cardiovascular morbidity, the prediction for the individual patient is relatively weak. One reason for this is the inherent variability of blood pressure and the distortions associated with clinic measurement. It is widely accepted that blood pressure measured in the clinic commonly overestimates pressure measured in nonmedical settings and that the discrepancy between the 2 varies greatly from 1 individual to another. On the grounds that it is the average level of blood pressure to which the circulation is exposed over prolonged periods of time that causes the adverse effects of hypertension, rather than the pressure at any 1 moment, such as during a clinic visit, it is logical to suppose that ambulatory blood pressure will give a better prediction of risk than clinic pressure. A subgroup of patients with mild hypertension whose blood pressure is high only in medical settings has been identified as having white coat hypertension; this group typically comprises ≈20% of the hypertensive population.1 This is a potentially useful concept because it may help to define a group of patients who are at relatively low risk of cardiovascular morbidity and hence do not merit antihypertensive drug treatment. However, the definition of white coat hypertension is arbitrary and depends both on the cutoff point chosen to define a hypertensive clinic pressure and a normal ambulatory pressure. In this issue of Circulation, a study reported by Khattar et al2 on the follow-up of a cohort of hypertensive patients established by Dr Jim Raftery at Northwick Park Hospital in London throws new light on the role of 24-hour ambulatory blood pressure monitoring (ABPM) in predicting cardiovascular morbidity. The principal finding was that patients with white coat hypertension were at substantially reduced risk of morbidity compared with …
IQ as an enabler of the green and collaborative supply chain

This communication investigates the role that information quality (IQ) can play in the development of Green Supply Chain Management (GSCM). GSCM is about integrating environmental concern into the interorganizational partnerships. Thus, companies are today seeking ways to meet both economic and environmental benefits through costs and CO2 reduction. Information sharing is key for supply chain performance but the literature on the impact of IQ in Supply Chain Management (SCM) is scarce. A field study in the retail distribution industry in France is designed in order to determine the dimensions of IQ that are critical to different supply chain processes. An in-depth qualitative analysis of interviews is conducted including all the supply chain network actors (distributors, manufacturers, logistics service providers, standardization organizations, professional associations, and consultants). Our results indicate that the IQ dimensions that will have significant economic and environmental benefits are depending on the nature of the information flow. Our research findings also permit to correlate and explain the dynamics between economic and environmental benefits and how IQ can be an enabler. or not.
TSDW: Two-stage word sense disambiguation using Wikipedia

The semantic knowledge of Wikipedia has proved to be useful for many tasks, for example, named entity disambiguation. Among these applications, the task of identifying the word sense based on Wikipedia is a crucial component because the output of this component is often used in subsequent tasks. In this article, we present a two-stage framework (called TSDW) for word sense disambiguation using knowledge latent in Wikipedia. The disambiguation of a given phrase is applied through a two-stage disambiguation process: (a) The first-stage disambiguation explores the contextual semantic information, where the noisy information is pruned for better effectiveness and efficiency; and (b) the second-stage disambiguation explores the disambiguated phrases of high confidence from the first stage to achieve better redisambiguation decisions for the phrases that are difficult to disambiguate in the first stage. Moreover, existing studies have addressed the disambiguation problem for English text only. Considering the popular usage of Wikipedia in different languages, we study the performance of TSDW and the existing state-of-the-art approaches over both English and Traditional Chinese articles. The experimental results show that TSDW generalizes well to different semantic relatedness measures and text in different languages. More important, TSDW significantly outperforms the state-of-the-art approaches with both better effectiveness and efficiency.
Structure-based design, synthesis, and biochemical and pharmacological characterization of novel salvinorin A analogues as active state probes of the kappa-opioid receptor.

Salvinorin A, the most potent naturally occurring hallucinogen, has attracted an increasing amount of attention since the kappa-opioid receptor (KOR) was identified as its principal molecular target by us [Roth, B. L. , et al. (2002) Proc. Natl. Acad. Sci. U.S.A. 99, 11934-11939]. Here we report the design, synthesis, and biochemical characterization of novel, irreversible, salvinorin A-derived ligands suitable as active state probes of the KOR. On the basis of prior substituted cysteine accessibility and molecular modeling studies, C315(7.38) was chosen as a potential anchoring point for covalent labeling of salvinorin A-derived ligands. Automated docking of a series of potential covalently bound ligands suggested that either a haloacetate moiety or other similar electrophilic groups could irreversibly bind with C315(7.38). 22-Thiocyanatosalvinorin A (RB-64) and 22-chlorosalvinorin A (RB-48) were both found to be extraordinarily potent and selective KOR agonists in vitro and in vivo. As predicted on the basis of molecular modeling studies, RB-64 induced wash-resistant inhibition of binding with a strict requirement for a free cysteine in or near the binding pocket. Mass spectrometry (MS) studies utilizing synthetic KOR peptides and RB-64 supported the hypothesis that the anchoring residue was C315(7.38) and suggested one biochemical mechanism for covalent binding. These studies provide direct evidence of the presence of a free cysteine in the agonist-bound state of the KOR and provide novel insights into the mechanism by which salvinorin A binds to and activates the KOR.
Software complexity measurement based on complex network

Usually the complexity metric of software focuses on the complexity of code level, function level or structure level separately. It lacks of measurement for the comprehensive complexity of software system. This paper proposes a complexity metric model of three-level cascade network that based on complex network theory. In this metric model, the complexity of code level, function level and structure level are measured and the cascaded relationship between the three levels are analyzed. At last, the three-level cascade network model is built and the comprehensive complexity of software system is measured though the three-level cascade network model. The experiment result shows that the comprehensive complexity of the software system is correlated positively to the number of software defects.
Combining functional and linkage disequilibrium information in the selection of tag SNPs

UNLABELLED We have developed an online program, WCLUSTAG, for tag SNP selection that allows the user to specify variable tagging thresholds for different SNPs. Tag SNPs are selected such that a SNP with user-specified tagging threshold C will have a minimum R2 of C with at least one tag SNP. This flexible feature is useful for researchers who wish to prioritize genomic regions or SNPs in an association study. AVAILABILITY The online WCLUSTAG program is available at http://bioinfo.hku. hk/wclustag/