Room geometry blind inference based on the localization of real sound source and first order reflections

The conventional room geometry blind inference techniques with acoustic signals are conducted based on the prior knowledge of the environment, such as the room impulse response (RIR) or the sound source position, which will limit its application under unknown scenarios. To solve this problem, we have proposed a room geometry reconstruction method in this paper by using the geometric relation between the direct signal and first-order reflections. In addition to the information of the compact microphone array itself, this method does not need any precognition of the environmental parameters. Besides, the learning-based DNN models are designed and used to improve the accuracy and integrity of the localization results of the direct source and first-order reflections. The direction of arrival (DOA) and time difference of arrival (TDOA) information of the direct and reflected signals are firstly estimated using the proposed DCNN and TD-CNN models, which have higher sensitivity and accuracy than the conventional methods. Then the position of the sound source is inferred by integrating the DOA, TDOA and array height using the proposed DNN model. After that, the positions of image sources and corresponding boundaries are derived based on the geometric relation. Experimental results of both simulations and real measurements verify the effectiveness and accuracy of the proposed techniques compared with the conventional methods under different reverberant environments

Interconnecting bilayer networks

A typical complex system should be described by a supernetwork or a network of networks, in which the networks are coupled to some other networks. As the first step to understanding the complex systems on such more systematic level, scientists studied interdependent multilayer networks. In this letter, we introduce a new kind of interdependent multilayer networks, i.e., interconnecting networks, for which the component networks are coupled each other by sharing some common nodes. Based on the empirical investigations, we revealed a common feature of such interconnecting networks, namely, the networks with smaller averaged topological differences of the interconnecting nodes tend to share more nodes. A very simple node sharing mechanism is proposed to analytically explain the observed feature of the interconnecting networks.Comment: 9 page

A Study of the Impact of Restaurant Affiliation on Part-time Workers’ Organizational Citizenship Behavior

The purposes for this study are: 1) To examine the influence of the management style of restaurant affiliation (chain and independent restaurants) on the relationships between organization citizenship behavior and three factors: a. part-time employee’s perceived supervisor support, b. part-time employee’s perceived organizational support, and c. organizational commitment; and 2) To compare the different level of work perceptions and organizational commitment between part-time workers of chain restaurants and part-time workers of independent restaurants. Survey was conducted among 185 part-time workers in the restaurant industry. The results indicated that management styles of different restaurant affiliation have influence on part-time workers

Deformation monitoring of high-latitude permafrost region of northeastern China with time series inSAR technique

Abstract. Permafrost distributed in northeast China is the only high-altitude permafrost in China. The deformation monitoring over this permafrost region is of great importance to local climate change and ecological environments. This study focuses on the deformation monitoring of high-latitude permafrost in northeast China with time series InSAR technique. The spatial distribution characteristics, the annual deformation rates and the temporal deformation evolutions of permafrost could be retrieved from multi-temporal InSAR processing with Sentinel-1 TOPS datasets. This work concludes that time series InSAR technique could help to retrieve a comprehensive and reliable permafrost deformation, while a long time-series of displacements facilitated to better understand permafrost kinematics.</p

Joint Inference on Truth/Rumor and Their Sources in Social Networks

In the contemporary era of information explosion, we are often faced with the mixture of massive \emph{truth} (true information) and \emph{rumor} (false information) flooded over social networks. Under such circumstances, it is very essential to infer whether each claim (e.g., news, messages) is a truth or a rumor, and identify their \emph{sources}, i.e., the users who initially spread those claims. While most prior arts have been dedicated to the two tasks respectively, this paper aims to offer the joint inference on truth/rumor and their sources. Our insight is that a joint inference can enhance the mutual performance on both sides. To this end, we propose a framework named SourceCR, which alternates between two modules, i.e., \emph{credibility-reliability training} for truth/rumor inference and \emph{division-querying} for source detection, in an iterative manner. To elaborate, the former module performs a simultaneous estimation of claim credibility and user reliability by virtue of an Expectation Maximization algorithm, which takes the source reliability outputted from the latter module as the initial input. Meanwhile, the latter module divides the network into two different subnetworks labeled via the claim credibility, and in each subnetwork launches source detection by applying querying of theoretical budget guarantee to the users selected via the estimated reliability from the former module. The proposed SourceCR is provably convergent, and algorithmic implementable with reasonable computational complexity. We empirically validate the effectiveness of the proposed framework in both synthetic and real datasets, where the joint inference leads to an up to 35\% accuracy of credibility gain and 29\% source detection rate gain compared with the separate counterparts

Therapeutic effects of ciprofloxacin/bushenhuazhuo combination on chronic prostatitis

Purpose: To evaluate the clinical effect of bushenhuazhuo (a Chinese traditional medicine) in combination with ciprofloxacin (an orthodox medicine) in chronic prostatitis (CP) therapy.Methods: A total of 160 patients who suffered from CP and received treatment in the People’s Hospital of Zhengzhou between April 2012 and June 2014 were selected and divided randomly into treatment and control groups, with 80 patients in each group. Control group was given 0.25 g ciprofloxacin hydrochloride tablets twice a day for 4 weeks. In addition to ciprofloxacin administration, patients in the treatment group also received a dose of bushenhuazhuo preparation twice daily for 4 weeks. Clinical outcomes, quality of life as well as lecithin body and white blood cell (WBC) count in expressed prostatic secretions (EPS-WBC) were evaluated.Results: Cure rates in the treatment and control groups were 90 and 72.50 %, respectively; this difference was significant (p &lt; 0.05). Scores for National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI), WBC, and lecithin bodies in the treatment group (8.20 ± 2.20 points, 4.50 ± 1.20 points, and 28.10 ± 2.10 points, respectively) were higher (p &lt; 0.05) than for the control group (12.20 ± 2.20, 6.30 ± 2.20, and 23.30 ± 2.90 points, respectively). The levels of interferon (IFN)-γ and tumour necrosis factor (TNF)-α in the treatment group (26.20 ± 3.30 and 33.80 ± 5.40 mg/L, respectively) were lower than those in the control group (37.70 ± 3.90 and 48.40 ± 3.70 mg/L, respectively), whereas the level of interleukin (IL)-10 in the treatment group (292.60 ± 23.70 mg/L) was higher (p &lt; 0.05) than that in control group (235.80 ± 25.90 mg/L).Conclusion: Ciprofloxacin combined with the Chinese traditional medicine, bushenhuazhuo preparation, demonstrates a marked therapeutic effect in CP. Its mechanism of action may be related to decreased levels of IFN-γ and TNF-α and increased IL-10.Keywords: Bushenhuazhuo, Interferon – γ, Ciprofloxacin, Chronic prostatitis symptom inde

Analogue of collectively induced transparency in metamaterials

Most recently, a brand new optical phenomenon, collectively induced transparency (CIT) has already been proposed in the cavity quantum electrodynamics system, which comes from the coupling between the cavity and ions and the quantum interference of collective ions. Due to the equivalent analogue of quantum optics, metamaterial also is a good platform to realize collectively induced transparency (CIT) which can be useful for highly sensitive metamaterial sensors, optical switches and photo-memory. In this paper, we propose the coupling of bright mode and interference of dark modes, to realize the CIT in terahertz (THz) metamaterial system. We give the theoretical analysis, analytical solutions, simulations and experiments to demonstrate our idea

Using principal stratification in analysis of clinical trials

The ICH E9(R1) addendum (2019) proposed principal stratification (PS) as one of five strategies for dealing with intercurrent events. Therefore, understanding the strengths, limitations, and assumptions of PS is important for the broad community of clinical trialists. Many approaches have been developed under the general framework of PS in different areas of research, including experimental and observational studies. These diverse applications have utilized a diverse set of tools and assumptions. Thus, need exists to present these approaches in a unifying manner. The goal of this tutorial is threefold. First, we provide a coherent and unifying description of PS. Second, we emphasize that estimation of effects within PS relies on strong assumptions and we thoroughly examine the consequences of these assumptions to understand in which situations certain assumptions are reasonable. Finally, we provide an overview of a variety of key methods for PS analysis and use a real clinical trial example to illustrate them. Examples of code for implementation of some of these approaches are given in supplemental materials