This study analyzed the content, visual features, and audience engagement data of Instagram posts from two mental health organizations over one year (N = 725). For content features, mental health literacy and communicative strategies were examined. Posts that promoted knowledge of mental disorders and treatments, used information and community strategy were more likely to receive higher audience engagement. Visual features of demographic segments, visual composition, and visual framing topics were analyzed. Images that covered an unspecific population, used illustrated images, and focused on anti-stigma topical frames obtained more engagement. Theoretical contributions and practical applications regarding visual message design and management on social media to promote mental health are also offered.

This study analyzed tweets posted over 1 year from three mental-health organizations in the United States, along with audience engagement data of comments, retweets, and likes. The results revealed that tweets focused on mental illnesses or mental health received more engagement than those that emphasized event promotion or relationship building. In addition, there were more gain-framed than loss-framed messages, although the latter triggered more public engagement. Thematic framing was used more frequently than episodic framing and related to higher levels of engagement. Call-to-action (CTA), other audience engaging methods and multimedia strategies were used in various frequencies in these tweets; and the use of CTA, other engaging methods, photos/pictures, and external links, but not videos, were positively related to public engagement. Theoretical contributions and practical implications regarding using social media for mental health promotion were offered.

This study investigated how public relations practitioners understand and practice dialogic communication in the controversial oil and gas industry. Guided by theoretical works of dialogic theory of public relations, the dialogic ladder, and negative spaces of dialogue, in-depth interviews were conducted with 21 practitioners who held public relations/communication positions serving the oil and gas industry in Canada. The findings suggest some points of alignment between practitioners' understanding of dialogic public relations and the related theoretical orientation. Practitioners reported predominantly using an interpersonal approach for shallow dialogue followed by mediated and procedural approaches with different stakeholders in practice. Interviewees also shared the unique challenges they face in practicing dialogic communication due to the controversies surrounding the in-dustry. Theoretical and practical implications are discussed.

提出了一种简单而有效的重建被甲醇降解的对苯二甲酸铜(CuBDC)金属有机骨架材料的方法,只需溶剂辅助一步可实现CuBDC的重建.将CuBDC浸泡在甲醇溶液中使其降解,再用N,N-二甲基甲酰胺(DMF)重建,重建CuBDC孔隙率达到新制的94％,通过CO2和环氧化合物的环加成反应评价重建CuBDC的催化性能,重建CuBDC的转化率和产率分别达到新制的97.8％和97.6％,实现了高度重建的目标,并具有良好的循环使用性能.利用扫描电子显微镜、X射线衍射仪、静态氮气吸附仪、热失重分析仪和傅里叶红外变换光谱仪等仪器表征,探讨了CuBDC降解-重建的机理.

The removal of toxic heavy metals, which are usually complexed with organic ligands in real wastewater, is still a challenge currently. The green oxidant O3 has been widely applied in the oxidation of pollutants, but suffers from the dependency of HO· yield on water chemistry and also low recovery of metals. Here, we developed a new method, namely electrolysis-O3-GF-Ti, for efficiently removing the complexed Cu(II) via HO· oxidation and for simultaneously recovering Cu using graphite felt coated Ti mesh (GF-Ti) as the cathode. For Cu(II)-EDTA decomplexation, this process achieved more than 80% of TOC removal and 90% of Cu(II) recovery, which was significantly more efficient than those of electrolysis, ozonation or electrolysis-O3-Ti. The cathodic O3 reduction was responsible for the efficient production of HO· in the process, as proved by the simultaneous enhanced decomposition of O3 and degradation of HO· probe (p-chlorobenzoic acid) but insignificant formation of H2O2 by electrolysis. Mechanism study with HPLC spectrum and mass spectrometry evidence combined with SEM-EDX and XRD analysis revealed electrolysis-O3-GF-Ti of Cu(II)-EDTA was a stepwise decarboxylation process, and the formed decomplexed Cu(II) intermediates were reduced as Cu0 at the GF-Ti surface. The results of cathodic characterization and continuous 5-cycle experiments demonstrated GF-Ti is an excellent renewable cathode. Moreover, over 90% of Cu was recovered in treatment of Cu(II) complexed with different chelators (nitrilotriacetic acid, citrate, tartrate, etc.), and more than 80% from authentic electroplating wastewater. This study would provide a promising alternative for destruction of metal complexes and recovery of heavy metals.

This study advances our current understanding of corporate social responsibility (CSR) communication in a controversial industry by analyzing CSR-related Facebook posts from seven Canadian public cannabis companies. Our findings indicated that these companies’ CSR communication on Facebook was mostly instrumentalist, lacked transparency, and used effective multimedia characteristics. In addition, associations between communication strategies and public engagement on social media (e.g., # of likes, comments, and shares) revealed both opportunities and ethical concerns regarding CSR communication in controversial businesses.

Characterization of heteroatom compounds in crude oils is very important in petroleum production and processing. The ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) is a powerful MS technique for it but with expensive costs. It is necessary to develop a generally accepted alternative analytical approach to replace FT-ICR MS. In this study, a reversed-phase liquid chromatography (RPLC)-high-resolution (HR) MS method was proposed on an Orbitrap MS with electrospray ionization (ESI). The optimal chromatographic and MS parameters and internal mass calibration method were suggested. The sample complexity was greatly reduced by RPLC separation. Mass resolution (240 K at m/z 200) of Orbitrap MS was enough to obtain an accurate elemental assignment in complex petroleum fractions. False-positive element composition assignment could be easily excluded by the RPLC retention behavior of isomers. The performance of RPLC-Orbitrap MS was evaluated in comparison with direct injection (DI)-FT-ICR MS and DI-Orbitrap MS in positive ion mode for heavy oil analysis. The results showed that heteroatom class species, DBE vs carbon number distributions were very similar between RPLC-Orbitrap MS and DI-FT-ICR MS. The developed methods were further used to analyze petroleum oil fractions with boiling ranges at 180-350 degrees C, 350-530 degrees C and> 530 degrees C. Detailed heteroatom class species and corresponding DBE vs carbon number distributions were obtained. This study demonstrated that the RPLC-Orbitrap MS technique could successfully be applied for heteroatom compound characterization in petroleum fractions.

Social media usage has been recognized as an integral part of immigrants’ acculturation experiences, yet research on social media is just emerging, and more detailed understanding is needed. Drawing on the interactive theory of communication and cross-cultural adaptation (ITCCA), the current project used a mixed-method approach to understand how Chinese immigrants’ social media use influences their acculturation experiences. Through focus groups and a survey, we examined which social media platforms Chinese immigrants use and for what purposes during their acculturation process, and what influence social media use has on their acculturation process in Canada. Our findings expand the scope of the ITCCA and offer important practical implications for service providers supporting newcomers.

Retention time (RT) prediction contributes to identification of small molecules measured by high-performance liquid chromatography coupled with high-resolution mass spectrometry. Deep learning algorithms based on big data can enhance the accuracy of RT prediction. But at different chromatographic conditions, RTs of compounds are different, and the number of compounds with known RTs is small in most cases. Therefore, the transfer of big data is necessary. In this work, a strategy using a deep neural network (DNN) pretrained by weighed autoencoders and transfer learning (DNNpwa-TL) was proposed to efficiently predict RTs of compounds. The loss function in the autoencoders was calculated with features weighted by mutual information. Then, a DNN pretrained by weighted autoencoders (DNNpwa) was produced. For other specific chromatographic methods, the transfer learning model DNNpwa-TLs were built through fine-tuning the DNNpwa with the help of some compounds with known RTs to conduct the RT prediction. With the above strategy, a DNNpwa was first built with the METLIN small molecule retention time data set containing 80 038 small molecule compounds. A median relative error of 3.1% and a mean relative error of 4.9% were achieved. Then, 17 data sets from different chromatographic methods were studied, and the results showed that the performance of DNNpwa-TL was better than those of other deep learning models. Besides, DNNpwa-TL outperformed random forest, gradient boost, least absolute shrinkage and selection operator regression, and DNN for most of the 17 data sets. Therefore, DNNpwa-TL can provide an efficient method to perform RT prediction of small molecule compounds for different chromatographic methods and conditions.

In metabolomics study, it is not easy to extract the metabolites from data of ultra high-performance liquid chromatography-high-resolution mass spectrometry, especially for those with low abundance. Different software for peak recognition and matching use different algorithms, leading to different extract results. Therefore, integration of results from different software can obtain richer metabolome information, but the redundant features should be removed. In this study, an integrated strategy of fusing features and removing redundancy based on graph density (FRRGD) was proposed. A graph is used to cover the ion features generated by two open access software (XCMS, MZmine 2) and a software (SIEVE) from an instrument vendor, and redundant features were removed by searching the maximal complete sub-graphs. A standard mixture containing 41 metabolites and a spontaneous urine were utilized to develop the method and demonstrate its usefulness. For the standard mixture, 19, 19 and 27 metabolites were extracted by XCMS, MZmine 2 and SIEVE, respectively. After fusion by FRRGD, 37 metabolites were obtained. For the diluted spontaneous urine sample, 1103, 1500 and 387 metabolites were extracted by XCMS, MZmine 2 and SIEVE, respectively, FRRGD produced 1619 metabolites which were much more than individual software, significantly increasing metabolome coverage. The proposed FRRGD shows a great prospect as a new data processing strategy for metabolomics study.

Substrate-supported metal-organic frameworks (MOFs) films are desired to realize their potential in practical applications. Herein, a novel substrate-seeding secondary-growth strategy is developed to prepare composites of uniform MOFs films on aerogel walls. Briefly, the organic ligand is "pre-seeded" onto the aerogel walls, and then a small amount of metal-ion solution is sprayed onto the prepared aerogel. The sprayed solution diffuses along the aerogel walls to form a continuous thin layer, which confines the nucleation reaction, promoting the formation of uniform MOFs films on the aerogel walls. The whole process is simple in operation, highly efficient, and eco-friendly. The resulting hierarchical MOFs/aerogel composites have abundant accessible active sites and enable excellent mass transfer, which endows the composite with outstanding catalytic activity and stability in both liquid-phase CO2 cycloaddition and electrochemical oxygen evolution reaction (OER) process.

By employing Chinese sample, this study examined the relationship between organizational members’ use of information and communication technologies (ICT) and their identification with the immediate workgroup and the overall organization. Employees’ uncertainty level was proposed as a mediating factor in these relationships. Participants N=336 completed an online survey. Results indicated that workgroup identification (WID) was positively predicted by members’ use of organizational social media to seek work-related information, and organizational identification (OID) was positively predicted by organizational social media and intranet for the same purpose. These relationships were either partially or fully mediated by employee’s uncertainty level. Results contributed to our understanding of ICT’s role in modern collocated work settings and shed lights on ICT and identification in a non-Euro-American context.

In metabolomics research, false positive features from non-sample sources and noises usually exist in the peak table, they will make the results of screening differential metabolites or biomarkers unreliable. In this study, a method to remove false positive features (rFPF) was developed to improve the quality of the peak table. rFPF recognizes real peak profiles based on the information entropy and statistical correlation, and eliminates false positive features from non-sample sources and noises. A standard mixture with 42 standards (14 isotopic labeled internal standards and 28 common standards) and a urine sample were applied to evaluate the effectiveness of the rFPF method. The analysis results of metabolite standards showed that more than 92% false positive features were removed by rFPF, but target standards completely remained. The analysis results of urine sample showed that the number of features was significantly reduced from 7182 to 2522. Interestingly, 98% of the identified metabolites remained after removing false positive features. The proposed rFPF shows great prospects as a new data handling method for metabolomics studies. The MATLAB code and data can be downloaded from http://app.ifc.dicp.ac.cn/Confirmation/Authentication.html.

This article explores the official blog of a lesbian organization in China. Using the lens of co-cultural theory through a content analysis, this article tries to answer the general question: how does an oppressed co-cultural group openly communicate to the public online. Specifically, this article asks three questions: (RQ1) what are the communication practices it employs online; (RQ2) are there any special communication practices emerged under Chinese online context and (RQ3) what is the preference of the communication strategy of this blog. The results indicate that blogosphere provides a venue for this oppressed group to make its voice heard, at the same time social, and cultural backgrounds influence this group’s communication and choices of communication strategies online.

The field of organizational communication has been dominated by the Euro-American intellectual tradition. In order to create a multicultural field, this study proposes a Chinese-centered perspective to examine organizational communication in Mainland China. Based on a search of the Chinese National Knowledge Infrastructure (CNKI) database using the key words organizational communication, the authors collected 129 articles that were published from 1996 to 2014. Using a Chinese-centered perspective, the authors then developed a codebook based on the thematic analysis of the collected articles. A content analysis was employed to analyze year-to-year distributions, definitions of organizational communication, topical areas, theoretical orientations, and methods that were reported in the articles. The results were used to map the current trajectory of organizational communication studies in China. Based on our findings, we recommend that organizational communication scholars acknowledge local philosophies and build local frameworks in order to promote the global inclusivity of the field of organizational communication.

This article reports the results of a study based on survey data collected from China and the United States about two employee identifications—local (workgroup/work unit) identification and global (organizational) identification. Since organizational identification consists of local identification and global identification, this study explores the impact of culture on the two identifications. The results indicate that China and the United States present different strengths of local and global identification, and the relationship between these two identifications also diverged in the sample groups.

During the long term monitoring of the structure, the damping ratio reflects the characteristics of the structure from perspective of energy loss, and its changes can reflect the structural damages to some extent. But in the structural modal analysis based on the prototype measurement, the damping ratio identification results are difficult to identify, especially for the non-stationary structural responses, besides, ICA loses accuracy in the presence of higher-level damping. In allusion to these problems, a modal identification method based on the stationary filter-time frequency independent component analysis (filter-TFICA) is proposed. First a stationary filter using moving average is used to eliminate the non-stationary components. Then the modal identification of mooring system is incorporated into the blind source separation formulation where TFICA is introduced. The validity of the proposed method is confirmed through the identification of a multi degree of freedom numerical simulation system under non-stationary random excitations. Further, the prototype measurement data of the floating production, storage and offloading (FPSO) single point mooring system are analyzed. Compared with the traditional method, the differences of identified damping ratios at the same frequency range by the proposed method are smaller. The distribution of identified modal frequencies is more scattered and the mutually coupled modes are decoupled well. Each of the calculated motion tracks corresponding to the mode shapes presents single form of motion more prominently. (C) 2016 Elsevier Ltd. All rights reserved.

Through analyzing the deviations introduced by various elements involved in the software development process, the disturbance model of the software development process was established at first. And based on the principle of compound control, the software development process hazard control model was put forward. Finally the complex airborne software safety engineering framework combined with airborne software engineering process was raised. Appling software safety work to the process of current airborne software process, it can provide a theoretical basis for airborne system to carry out comprehensive software safety work.