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Identify B below.  

Identify B below.  

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If you multiply amp × ohm, the answers will be in units of

If you multiply amp × ohm, the answers will be in units of

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What is labeled 2 below? A. Metals    B. Alkali Metals   C….

What is labeled 2 below? A. Metals    B. Alkali Metals   C. Halogens    D. Atomic weight     E. Period     AB. Noble Gases    AC. Alkaline Earth Metals       AD. Transition Elements       AE. Semiconductors   BC. Nonmetals   BD. Atomic number   BE. Periodic Table      

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What is labeled 5 below? A. Metals    B. Alkali Metals   C….

What is labeled 5 below? A. Metals    B. Alkali Metals   C. Halogens    D. Atomic weight     E. Period     AB. Noble Gases    AC. Alkaline Earth Metals       AD. Transition Elements       AE. Semiconductors   BC. Nonmetals   BD. Atomic number   BE. Periodic Table      

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Periodic Table Consider the chemical equation: CH4 + 2O2→ CO…

Periodic Table Consider the chemical equation: CH4 + 2O2→ CO2 + 2H2OWhat is the formula weight of methane, CH4?

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In the equation: Q = mcΔt, the c stands for the

In the equation: Q = mcΔt, the c stands for the

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In the equation   represents

In the equation   represents

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The equation 1 AlBr3 + ____ K→ 3 KBr + 1 Al is balanced by m…

The equation 1 AlBr3 + ____ K→ 3 KBr + 1 Al is balanced by making the coefficient of potassium  

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As an expert in Health Outcomes and Implementation Science,…

As an expert in Health Outcomes and Implementation Science, you are regularly asked to help other researchers choose the best design for their study. A team of investigators approaches you about studying whether their newly developed electronic health record (EHR) decision support tool increases screening and brief interventions for excessive alcohol use among adults attending primary care visits. The investigative team provides you with the following background information. Excessive alcohol use in adults 21 years of age includes binge drinking (drinking 5 drinks on an occasion for men or  4 drinks on an occasion for women), heavy drinking (drinking 15 drinks per week for men or 8 drinks per week for women) (Centers for Disease Control and Prevention 2024). In the United States, approximately 17% of adults binge drink and 7% report heavy drinking (Centers for Disease Control and Prevention 2024). In the United States, during 2020-2021, approximately 20,000 cancer deaths were attributable to alcohol use and 16,800 of these deaths could have been prevented if the adults who drank excessively reduced their alcohol use to 2 drinks/day for men or ≤1 drink/day for women (Esser et al. 2024). The US Preventive Services Task Force (2018) recommends that primary care providers screen for excessive alcohol use and provide brief behavioral counseling to persons who are engaging in excessive alcohol use. The International Classification of Diseases, Ninth and Tenth Revision (ICD-9/ICD-10) include diagnostic and procedure codes for brief alcohol interventions. The investigators’ EHR clinical decision support tool includes EHR prompts for screening for excessive alcohol use and initiating a brief intervention when patients screened positive for excessive alcohol use. The investigators include the medical director of Healthy People Clinics that has 30 primary care clinics for adults throughout the state of Florida. Their EHR director informs you that the EHR clinical decision support tool can be assigned to specific clinics and that in clinics who have the tool installed all physicians will see the tool with all patients.   References: Centers for Disease Control and Prevention. Alcohol Use and Your Health [Internet]. U.S. Department of Health and Human Services; 2024 May [cited 2024 July 30]. Available from:  https://www.cdc.gov/alcohol/about-alcohol-use/index.html#cdc_behavioral_basics_warning_signs-understanding-alcohol-use Centers for Disease Control and Prevention. Data on Excessive Drinking [Internet]. U.S. Department of Health and Human Services; 2024 May [cited 2024 July 30]. Available from: https://www.cdc.gov/alcohol/data-stats.htm#:~:text=Approximately%2017%25%20of%20adults%20binge,lost%20each%20year%2C%20on%20average. Esser MB, Sherk A, Liu Y, Henley SJ, Naimi TS. Reducing Alcohol Use to Prevent Cancer Deaths: Estimated Effects Among U.S. Adults. Am J Prev Med [Internet]. 2024 Apr; 66(4):725-729. doi: 10.1016/j.amepre.2023.12.003. – https://doi.org/10.1016/j.amepre.2023.12.003 US Preventive Services Task Force. Screening and Behavioral Counseling Interventions to Reduce Unhealthy Alcohol Use in Adolescents and Adults: US Preventive Services Task Force Recommendation Statement. JAMA [Internet]. 2018;320(18):1899–1909. doi:10.1001/jama.2018.16789   – https://jamanetwork.com/journals/jama/fullarticle/2714537   Using complete sentences and paragraph format, create a 1-page research proposal for the investigators. Be sure to include: A suggested hypothesis including the four criteria for a good hypothesis Based on what you know about the EHR clinical decision support tool and screening and brief interventions for excessive alcohol, what is the best type of study design to address your hypothesis. Explain your choice of study design by considering how each of the following affect the study design: what is the outcome of interest, who are the subjects, what is the exposure of interest, who assigned the exposure, and how is the exposure assigned. Explain how the study will be conducted: The main design elements (setting, participants) the outcome and exposure variables the data sources and how you will measure the outcome and exposure Based on your design and planned conduct of the study, describe two potential biases and how to measure or minimize them   Make and explain any necessary assumptions. You are not expected to be an expert on alcohol use or EHR decision support tools. Your answer will be evaluated on the reasonableness and justification of your design.

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John, a 60-year old retired truck driver, was diagnosed with…

John, a 60-year old retired truck driver, was diagnosed with colorectal cancer.  He underwent tumor-removing surgery followed by radiation therapy.  He was told that the 5-year survival rate was about 60%.  Before cancer therapy, his HRQOL scores measured by the SF-36 PCS and MCS were 40 and 43, respectively. The therapy was successful.  John became a cancer survivor despite living with late effects such as fatigue, pain, wheeze, shortness of breath, anxiety.  His PCS and MCS scores went up to 53 and 56, respectively. ­­ What is this phenomena called?  This phenomena clearly introduces bias in our HRQOL measurement.  When will this phenomena happen? You are designing a study in which you will measure HRQOL using the SF-36 among cancer survivors pre-treatment and post-treatment.  How would you collect data to correct for this bias described in a)?

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