Alcoholic beverages are conventionally classified by alcohol volume (ABV) based on ethanol-water mixture (EWM) concentrations, which is regarded as empirical with little scientific explanation. Here, we find that contact angles of EWMs different ethanol fractions highly oriented pyrolytic graphite non-linear but steplike, while the critical points at step edges surprisingly fit distributions ABV. High-frequency proton nuclear magnetic resonance and molecular dynamics confirm clusters in...

Current artificial nanochannels rely more on charge interactions for intelligent mass transport. Nevertheless, popular charged would lose their advantages in long-term applications. Confined water, an indispensable transport medium biological nanochannels, dominating the process uncharged perfectly provides a new perspective. Herein, we achieve confined-water-dominated hydrogel (HNCs) constructed by situ photopolymerization of acrylic acid (PAA) anodic alumina (AAO) nanochannels. HNCs show...

Biological fluid stability plays an irreplaceable role in maintaining physiological functions, and compromised can lead to health issues. Even tear instability vision impairment or dry eye disease (DED). Artificial tears (ATs) are a popular treatment; however, the comprehensive molecular mechanism by which ATs stabilize remains obscure. This study explores effects of water structure rearrangement electrolyte ions on stability. Through situ observation analysis evaporation thermodynamics...

The exploration of how we as human beings react to the world and interact with it each other remains one greatest scientific challenges. ability recognize emotional states a person perhaps most important for successful inter-personal social interaction. Automatic speech recognition system can be characterized by used features, investigated categories, methods collect utterances, languages, type classifier in experiments. In this paper, SVM NN classifiers feature selection algorithm classify...

Traditional supervised learning approaches to common NLP tasks depend heavily on manual annotation, which is labor intensive and time consuming, often suffer from data sparseness.In this paper we show how mitigate the problems in short text classification (STC) through word embeddings -distributional representations of words learned large unlabeled data.The are trained entire English Wikipedia text.We assume that a document specific sample one distribution Bayesian framework.A Gaussian...

Internet of Things is the convergence computing, and mobile communication networks resulted by development third wave information technology industry. This paper presents a study first introducing basic concepts features (IoT) followed introduction ubiquitous sensor (USN) architecture. A simplified model USN also discussed. Furthermore, key problems in implementation IoT are discussed using system model. Finally, two practical designed on sensing layer based ARM9 acquisition transmission system.

Background: Doctor's performance evaluation is an important task in mobile health (mHealth), which aims to evaluate the overall quality of online diagnosis and patient outcomes so that customer satisfaction loyalty can be attained. However, most patients tend not rate doctors' performance, therefore, it imperative develop a model make doctor's automatic. When evaluating we into score label as close possible true one.

Artificial intelligence (AI) like deep learning, cloud AI computation has been advancing at a rapid pace since 2014. There is no doubt that the prosperity of inseparable with development Internet. However, there little attention to link between and internet. This paper explores them brain insights mainly from four views:1) How general relation artificial Internet Things, computing, big data Industrial perspective science. 2) Construction new system model

Angle-modulated bat algorithm (AMBA) provides a technique that enables the (BA) developed for continuous problems to operate in binary spaces, which employs an angle modulation generate bit string corresponding problem solution and applies BA evolve coefficients of trigonometric generating function. However, there are some identified limitations original AMBA. This paper proposes new AMBA variant called amplitude (A-AMBA). The A-AMBA is compared with several other heuristic algorithms on 13...

Call center is an important intermediary between enterprise and customers. It not only helps customers to solve the problems they are faced with but also allows deeply analyze customer's voice make a distinct market positioning. Nowadays customer satisfaction in call have been attached much importance studied extensively. However, few researches actually about analyzing understanding data from mining standpoint. In this paper, comprehensive opinion system of conversation named sensor (CVS)...

This paper describes our systems for expression-level and message-level sentiment analysis -two subtasks of SemEval-2015 Task 10 on in Twitter.First we built two baseline the using SVM with a variety features.Then improved through model iteration probability-output weighting respectively.Our submissions are ranked 3rd 2nd among eleven teams 2015 test set progress subtask A 7th 4th 40 sets respectively B.

Two carbazole sulfonamide-based macrocycles 1 and 2 were facilely synthesized carefully evaluated for their anion recognition properties. The obtained results revealed that macrocycle with a 1,3-xylyl linker was able to bind fluoride ion more strongly selectively in acetonitrile medium than its strong competitors (like acetate dihydrogen phosphate anions), large binding constant (K a) of 50 878 M-1. More importantly, an exclusive achieved the polar DMSO-d 6 solution, albeit moderate affinity...

Congeneric minority languages like Uyghur and Kazakh, are widely used in Middle East Xinjiang province of China. They share the same characters even words, can't be discriminated by encoding, which makes language processing difficult. Spoken texts such as short messages online chatting short, sparse, noisy ungrammatical, regarded bottle neck similar identification. Here we propose a practical method to automatically distinguish from Kazakh on spoken texts. External resource is for data...

This paper describes our system for Shallow Discourse Parsing -the CoNLL 2015 Shared Task.We regard this as a classification task and build cascaded based on Maximum Entropy to identify the discourse connective, spans of two arguments sense connective.We trained models with variety features such lexical syntactic features.We also report results achieved by team.

Ordinal regression has received increasing interest in the past years. It aims to classify patterns by an ordinal scale. With explosive growth of data, method SVM with partitioning called SVMOP highlights its advantages due convenience dealing large scale data. However, for not been exploited much. As we know, costs should be different when mislabeled samples and how use them plays a dominant role model building. L2-loss which could enlarge cost sensitivity applied into partition yet. In...

<sec> <title>BACKGROUND</title> Doctor’s performance evaluation is an important task in mobile health (mHealth), which aims to evaluate the overall quality of online diagnosis and patient outcomes so that customer satisfaction loyalty can be attained. However, most patients tend not rate doctors’ performance, therefore, it imperative develop a model make doctor’s automatic. When evaluating we into score label as close possible true one. </sec> <title>OBJECTIVE</title> This study perform...

Characterization data of the intermediates and target compounds 2 Original spectral files compounds13 N-(2-hydroxyphenyl)-1-(quinazolin-4-yl)piperidine-4-carboxamide (II)：red solid,Yield: 47%, mp 256-257 °C. 1 H NMR (400 MHz, DMSO-d6) δ: 9.80 (s, 1H), 9.29 8.63 8.00 (d, J = 8.4 Hz, 7.81-7.80(m, 2H), 7.75 8.0 7.58-7.51(m, 6.95-6.92(m, 6.86 8.1 6.78-6.74(m, 4.34 14.3 3.20 (t, 12.8 2.95-2.86(m, 1.95 12.1 1.91-1.81(m, 2H). 13C (100 173.6,...