Ethics Statement. The Investment Manager acknowledges that the Board of Trustees and the Fund are subject to certain portions of the Illinois State Officials and Employees Ethics Act, 5 ILCS 430. The Investment Manager further acknowledges that the Fund has adopted an Ethics Policy/ Code of Conduct, which is attached hereto and incorporated by reference as Exhibit E. The Investment Manager acknowledges that the Fund has adopted a policy requiring an investment manager to report to the Executive Director within five (5) days any contact by a Trustee to the Investment Manager about brokerage or with whom the Investment Manager should place brokerage.
Ethics Statement. The Fund will provide the Investment Manager with a copy of its policy relating to ethics and conflicts of interest which shall be adopted and incorporated by reference as Exhibit E.
Ethics Statement. An ethics statement should be provided by the institute supporting the research proposed.
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Ethics Statement. Biases The news articles for the creation of the underlying dataset were sampled in such a way in order to have a balanced representation with re- spect to different points of view and type of media. We also strived to engage a mix of annotators with different backgrounds, i.e., both media analysts and computational linguists. Furthermore, the an- notators were explicitly instructed not take their personal feeling about the particular topic and to objectively focus on identifying whether specific persuasion techniques were used. Disregarding the aforementioned efforts, the distribution of the various persuasion techniques annotated might not perfectly reflect the broader spectrum of the media landscape in the target languages, which should be taken into account in exploiting the related sta- tistical information for any kind of analysis, etc. Analogously, the findings and statistics related to the annotation complexity are linked to the spe- cific pool of annotators engaged in the campaign, and, consequently, they should be considered as approximative. Intended Use and Misuse Potential The reported work focuses solely on sharing experience with the research community on annotating persuasion tech- niques in news articles in a large campaign, analy- sis of the difficulty of annotating such techniques, and ways of measuring annotation agreement and consistency across languages. The reported work is not linked to a release of the underlying annotated dataset, which is a subject of different publication and related ethical considerations.
Ethics Statement. This analysis was undertaken as part of a Master of Public Health thesis, approved by the Epidemiology Department within the Xxxxxxx School of Public Health at Emory University. The data was collected through cross-sectional, nationally representative surveys and anonymized before publication through ICAP at Columbia University; therefore, informed consent was not required to conduct this analysis. All PHIA survey protocols were reviewed and approved by the CDC Institutional Review Board (IRB), the Columbia University Medical Center IRB, and the IRB in each country with informed consent obtained prior to participation in PHIA surveys. Results
Ethics Statement. This project was submitted for human subjects review to the Center for Global Health at the Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA. It was approved by CDC and determined to be program evaluation. Permission for the survey was obtained from the Odisha State Department of Health and Family Welfare. Participants were asked to give their written informed consent prior to participation. For those unable to write, consent was documented by recording the person's fingerprint or marking the signature line with an ‘X’ and by countersignature of survey personnel. For participants under 18 years of age, verbal consent of a parent or guardian was also obtained. Consent procedures were approved by CDC and the Odisha State Department of Health and Family Welfare.
Ethics Statement. The use of data on this project strictly adhered to ethical standards required by the National Institute of Health (NIH). In addition to upholding ethical principles in con- ducting this work, we believe this work contributes to professional standards for rigor in the field. In particular, we expect that this paper will facilitate fair comparison of various annotation tasks or sys- tems and reduce random chance agreement caused by different annotation styles and metrics. Chance agreement can also be used as a quantitative aid to measure the difficulty of annotation task. This provides a new perspective for evaluating different annotation tasks. References Xxx Xxxxxxxx and Xxxxxxx Xxxxxx. 2008. Inter-coder agreement for computational linguistics. Computa- tional Linguistics, 34(4):555–596. Xxxxxx Xxxxxxxxxx and et al. 2014. Developing lan- guage processing components with gate version 8. Xxxxx Xxx. 2018. Recognizing complex entity mentions: A review and future directions. In Proceedings of ACL 2018, Student Research Workshop, pages 37–44. Xxxxxx Xxxxx and Xxxxxxxx Xxxxxxxxxx. 2010. Evaluating information extraction. In International Conference of the Cross-Language Evaluation Forum for Euro- pean Languages, pages 100–111. Springer.
Ethics Statement. This study was approved by the institutional review board of Dong-A University (IRB approval no., 2-1040709-AB-N-01- 202101-HR-003-02). The requirement to obtain informed consent was waived because participants took part in the activity as part of their educational curriculum. Study design This was a retrospective exploratory study aiming to determine the interrater reliability of peer assessment.
Ethics Statement. The CoLaus Study was approved by the Institutional Ethics Committee of the University of Lausanne. (64) This study was reviewed by Emory University’s Institutional Review Board and met the criteria for an exempt review (Appendix 3). Variables Outcome variable: body mass index This analysis used BMI variables that were produced by the GeoColaus study (9). These include the raw BMI that was measured and calculated by the CoLaus study staff and estimates of BMI that were adjusted for socioeconomic and demographic variables by the GeoCoLaus study. The raw and adjusted BMI variables were used as the outcome variables for this analysis. A list of these BMI variables used in this analysis can be found in Appendix 1. Exposure variable: destinations Destinations were chosen based on previous studies that used places people may use active travel to access in their neighborhood. (10, 11) Examples of destinations included in the analysis are: educational facilities, food outlets, transport stops and stations, supermarkets, parks, sports facilities, art and culture establishments, and community resources. Data on destinations were abstracted at two time points: the year 2005 (middle of the baseline enrollment period) and the year 2008 (latest available year; used for analysis of follow-up data). Parks and large open spaces were geocoded at the center. Appendix 2 provides details of the destination types. All destinations were combined and merged into a single layer using ArcGIS 10.3. (68) Deriving Kernel density estimations for destinations
