4% of adolescents reported engaging in technology-based sexual solicitation in the past year. Youth who engaged in solicitation were more likely to use the internet frequently, be exposed to sexual/violent content online, have experienced offline sexual aggression, have poor parental monitoring and relationships, and have been previously victimized online. Key risk markers included household education, social media use, offline sexual aggression, low parental monitoring, prior online victimization, exposure to violence and pornography.
Very few of us know that 73% of the rape victims know the rapists. Moreover, 40% of rapes happen at victim’s home and 20% occur in the homes of familiar people.
It turned out that most of us have no idea about the effective precautions needed to protect ourselves from the traumatic experience, because we expect danger from a wrong source. A widespread belief is that one should expect a rapist to sit in the bushes in the park late at night, while the reality is different.
My colleague Paulina Grzelak and I were astonished while exploring this topic, as we were quite oblivious to the real situation as well. Therefore, we decided to make a small questionnaire and ask people what they think about rape.
This presentation begins with the analysis of what makes a person become a rapist, which is followed by the comparison of the results of the questionnaire with real data.
I would be grateful if you shared this presentation as many people need this knowledge.
I also want to add that most figures we present come from the States where definition of rape and social situation may differ from ours. Hence, comparing data from the U.S. with opinions from Poland and Ukraine may seem improper. For instance, being forced into sexual contact by husband may not even be recognized as rape in Ukraine, “because it’s his natural right”. And even if a wife admits this fact, social welfare system (which does not exist here, let’s face it) leaves her no option apart from remaining silent, while in the U.S. rape victims are less dependent on family members. Therefore, one has to approach the statistics carefully. Still, we believe that using American data can be justified by the fact that they explore the subject more than any other country.
Very few of us know that 73% of the rape victims know the rapists. Moreover, 40% of rapes happen at victim’s home and 20% occur in the homes of familiar people.
It turned out that most of us have no idea about the effective precautions needed to protect ourselves from the traumatic experience, because we expect danger from a wrong source. A widespread belief is that one should expect a rapist to sit in the bushes in the park late at night, while the reality is different.
My colleague Paulina Grzelak and I were astonished while exploring this topic, as we were quite oblivious to the real situation as well. Therefore, we decided to make a small questionnaire and ask people what they think about rape.
This presentation begins with the analysis of what makes a person become a rapist, which is followed by the comparison of the results of the questionnaire with real data.
I would be grateful if you shared this presentation as many people need this knowledge.
I also want to add that most figures we present come from the States where definition of rape and social situation may differ from ours. Hence, comparing data from the U.S. with opinions from Poland and Ukraine may seem improper. For instance, being forced into sexual contact by husband may not even be recognized as rape in Ukraine, “because it’s his natural right”. And even if a wife admits this fact, social welfare system (which does not exist here, let’s face it) leaves her no option apart from remaining silent, while in the U.S. rape victims are less dependent on family members. Therefore, one has to approach the statistics carefully. Still, we believe that using American data can be justified by the fact that they explore the subject more than any other country.
Jess Alder (Program Director, Start Strong, Boston Public Health Commission), Nicole Daley (Director of Evaluation and Engagement, One Love Foundation), and Emily F. Rothman, ScD (Professor, Boston University School of Public Health) delved into the topic of whether porn use is a public health problem and highlighted a curriculum they developed for teens to discuss porn, healthy relationships, and sexual violence.
Bad bad teacher! How judicial lenience, cultural ignorance, and media hype have inevitably lead to lighter sentences, underreporting and glamorization of female sex offenders - By: Stephanie S. Reidlinger
Probability Sampling and Alternative MethodologiesLangerResearch
Gary Langer's Oct. 2012 presentation to the National Science Foundation on the future of survey research. Discusses the limitations of emerging approaches to public opinion research (such as opt-in online panels and social media analysis).
Characteristics od Sibling and Nonsibling Sexual Abuse Cases Under Canadian C...BASPCAN
Dr. Delphine Collin-Vezina
Director
Centre for Research on Children and Families
Tier II Canada Research Chair in Child Welfare
Associate Professor, McGill University
Jess Alder (Program Director, Start Strong, Boston Public Health Commission), Nicole Daley (Director of Evaluation and Engagement, One Love Foundation), and Emily F. Rothman, ScD (Professor, Boston University School of Public Health) delved into the topic of whether porn use is a public health problem and highlighted a curriculum they developed for teens to discuss porn, healthy relationships, and sexual violence.
Bad bad teacher! How judicial lenience, cultural ignorance, and media hype have inevitably lead to lighter sentences, underreporting and glamorization of female sex offenders - By: Stephanie S. Reidlinger
Probability Sampling and Alternative MethodologiesLangerResearch
Gary Langer's Oct. 2012 presentation to the National Science Foundation on the future of survey research. Discusses the limitations of emerging approaches to public opinion research (such as opt-in online panels and social media analysis).
Characteristics od Sibling and Nonsibling Sexual Abuse Cases Under Canadian C...BASPCAN
Dr. Delphine Collin-Vezina
Director
Centre for Research on Children and Families
Tier II Canada Research Chair in Child Welfare
Associate Professor, McGill University
An updated look at the research and definitions around bullying and cyberbullying. Presented to the Youth Online Safety Working Group assembled by NCMEC, this talk unpacks both what current research can tell us about cyberbullying as well as where the gaps our understanding of this issue lie.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
ABDOMINAL TRAUMA in pediatrics part one.drhasanrajab
Abdominal trauma in pediatrics refers to injuries or damage to the abdominal organs in children. It can occur due to various causes such as falls, motor vehicle accidents, sports-related injuries, and physical abuse. Children are more vulnerable to abdominal trauma due to their unique anatomical and physiological characteristics. Signs and symptoms include abdominal pain, tenderness, distension, vomiting, and signs of shock. Diagnosis involves physical examination, imaging studies, and laboratory tests. Management depends on the severity and may involve conservative treatment or surgical intervention. Prevention is crucial in reducing the incidence of abdominal trauma in children.
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
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ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
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These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
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DISSERTATION on NEW DRUG DISCOVERY AND DEVELOPMENT STAGES OF DRUG DISCOVERYNEHA GUPTA
The process of drug discovery and development is a complex and multi-step endeavor aimed at bringing new pharmaceutical drugs to market. It begins with identifying and validating a biological target, such as a protein, gene, or RNA, that is associated with a disease. This step involves understanding the target's role in the disease and confirming that modulating it can have therapeutic effects. The next stage, hit identification, employs high-throughput screening (HTS) and other methods to find compounds that interact with the target. Computational techniques may also be used to identify potential hits from large compound libraries.
Following hit identification, the hits are optimized to improve their efficacy, selectivity, and pharmacokinetic properties, resulting in lead compounds. These leads undergo further refinement to enhance their potency, reduce toxicity, and improve drug-like characteristics, creating drug candidates suitable for preclinical testing. In the preclinical development phase, drug candidates are tested in vitro (in cell cultures) and in vivo (in animal models) to evaluate their safety, efficacy, pharmacokinetics, and pharmacodynamics. Toxicology studies are conducted to assess potential risks.
Before clinical trials can begin, an Investigational New Drug (IND) application must be submitted to regulatory authorities. This application includes data from preclinical studies and plans for clinical trials. Clinical development involves human trials in three phases: Phase I tests the drug's safety and dosage in a small group of healthy volunteers, Phase II assesses the drug's efficacy and side effects in a larger group of patients with the target disease, and Phase III confirms the drug's efficacy and monitors adverse reactions in a large population, often compared to existing treatments.
After successful clinical trials, a New Drug Application (NDA) is submitted to regulatory authorities for approval, including all data from preclinical and clinical studies, as well as proposed labeling and manufacturing information. Regulatory authorities then review the NDA to ensure the drug is safe, effective, and of high quality, potentially requiring additional studies. Finally, after a drug is approved and marketed, it undergoes post-marketing surveillance, which includes continuous monitoring for long-term safety and effectiveness, pharmacovigilance, and reporting of any adverse effects.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Youth perpetration of online sexual solicitation: Internet use and psychosocial characteristics
1. Youth perpetration of online sexual solicitation:
Internet use and psychosocial characteristics
Kimberly J. Mitchell, PhD
Crimes against Children Research Center
University of New Hampshire
Michele L. Ybarra, MPH, PhD
Center for Innovative Public Health Research
International Family Violence and Child
Victimization Research Conference, July 8-10 2007
Portsmouth, New Hampshire
* Thank you for your interest in this presentation. Analyses included
herein are preliminary. More recent, finalized analyses can be found in:
Ybarra ML, Espelage DL, Mitchell KJ. The co-occurrence of Internet
harassment and unwanted sexual solicitation victimization and
perpetration: associations with psychosocial indicators. J Adolesc Health.
2007;41(6 Suppl 1):S31-41.
2. Background
An estimated 97% of youth use the Internet
(Lenhart, Madden & Hitlin, 2005; USC Annenberg School Center for the
Digital Future, 2005).
The majority of adolescent Internet-health research
has focused on victimization (e.g., Finkelhor, Mitchell,
Wolak, 2000; Wolak, Mitchell, Finkelhor, 2006; Ybarra, Mitchell, Wolak,
Finkelhor, 2006) and health seeking behavior (e.g., Grey,
Klein, Noyce et al., 2005; Ybarra & Suman, 2006).
3. Background: The positive
side of the Internet
About one in four adolescents have used the
Internet to look for health information in the last
year (Lenhart et al., 2001; Rideout et al., 2001; Ybarra & Suman, 2006).
41% of adolescents indicate having changed their
behavior because of information they found online
(Kaiser Family Foundation, 2002), and 14% have sought
healthcare services as a result (Rideout, 2001).
4. Background: The negative
side of the Internet
Internet harassment has increased from 6% to
9%, while unwanted sexual solicitation decreased
from 19% to 13% from 1999 to 2005 (Mitchell, Wolak,
Finkelhor, 2006).
Just over one-third of youth targeted by Internet
victimization report feeling very/extremely upset or
afraid because of the incident (Wolak, Mitchell, Finkelhor,
2006; Ybarra, Mitchell, Wolak, Finkelhor, 2006)
5. Problem Statement
Despite recent research which has highlighted
the impact negative interpersonal experiences
some young people are having online (e.g.,
unwanted sexual solicitation, harassment), little
has been reported about the ways in which
youth are using the Internet to act out.
6. Panel Presentations
Describe the Growing up with Media (GuwM) study
Use GuwM data to examine:
Instigation of unwanted sexual solicitation;
Intentional exposure to pornography online –
especially violent content; and
Intentional access to violent web sites.
7. GuwM Methodology
Conducted between August 24 to September 14,
2006
Participants recruited from Harris Poll On Line
1,591 households (one caregiver, one child) were
surveyed online
8. Harris Poll On Line
HPOL is a double opt-in panel of millions of
respondents.
HPOL data are consistently comparable to
data that has been obtained from random
telephone samples of general populations
when sampling and weighting is applied.
9. GuwM Eligibility
ADULT
Be a US resident member of the Harris Poll Online
(HPOL) opt-in panel
Be the most (or equally) knowledgeable of the
youth’s media use in the home
English speaking
YOUTH
Aged 10-15 years
Use the Internet at least once in the last 6 months
English speaking
10. GuwM Data Methods
Sample selection was stratified based on youth age
and sex.
Sample was also stratified between “novice” and
“experienced” survey participants.
11. GuwM Data Methods
To control the sample and the increase response
rate, the following steps were taken:
Password-protected access to the online survey
1 reminder invitation to non-responders
Cash incentives ($10 for adults, $15 for youth)
On average, the adult survey took 5 minutes and
the youth survey took 21 minutes
12. Growing up with Media
Data Analyses
Response rate was 26% (rates can range from
5-50%)
Propensity scoring was applied to adjust for the
adult’s (i.e., recruitment target) propensity to be
online
Data were weighted to match the US
population of adults with children between the
ages of 10 and 15 years
13. Growing up with Media
Data Analyses
For analyses, cases were required to have
valid data for 85% of variables examined.
Regression estimates are adjusted for
‘dishonesty’ (6%) and the report of someone in
the room near enough to see the computer
screen (22%).
14. Youth Demographic
Characteristics
48% Female
Mean age: 12.6 years (SE: 0.05)
71% White, 13% Black, 9% Mixed, 7% Other
19% Hispanic
Median household income: $50,000-$74,999
Median time spent online on a typical day: 31
minutes – 1 hour
15. Kimberly J. Mitchell, PhD
Crimes against Children Research Center
Family Research Lab
University of New Hampshire
Michele L. Ybarra, MPH, PhD
Internet Solutions for Kids, Inc.
Ybarra ML, Espelage DL, Mitchell KJ. The co-occurrence of Internet harassment and unwanted sexual
solicitation victimization and perpetration: associations with psychosocial indicators. J Adolesc Health.
2007 Dec;41(6 Suppl 1):S31-41.
16. Background
Adolescent sexual aggression
5% of adolescent males and 1% of adolescent
females ever engaged in sexual violence
perpetration.
Correlates include:
Nonsexual deviance (e.g., starting fights)
Alcohol and drug use
Sexist attitudes
Anger
History of sexual abuse
17. Background
Online sexual solicitation
13% of youth (10-17 y.o.) Internet users
reported an unwanted online sexual solicitation
in the past year (1 in 7).
70% girls and 30% boys
81% ages 14 or older
4% received an aggressive sexual solicitation
14% of solicitations from offline friends and
acquaintances
18. Research questions
What is the national 1-year prevalence of youth
engaging in technology-based sexual
solicitation?
What are key risk markers for engaging in
technology-based sexual solicitation?
19. Definition
Technology-based sexual solicitation
Trying to get someone else to talk about sex
online when they did not want to
Asking someone online for sexual information
about themselves when that person did not
want to tell
(really personal questions, like what his or her
body looks like, or sexual things he or she has
done)
20. Definition
Technology-based sexual solicitation
Asking someone to do something sexual online
when the other person did not want to
Sending a text message that was sexual in any
way when that person did not want to receive it
Sending a picture text message that was sexual
in any way when that person did not want to
receive it
21. Other variables
Offline sexual aggression
Exposure to sexual material
Internet use characteristics State-Trait Anger
Expression Inventory
Caregiver-child relationship
Exposure to violence
Substance use
Demographic characteristics
22. Statistical methods
Chi-square: bivariate differences in
characteristics between solicitors and non-
solicitors
Logistic regression: parsimonious model
identifying key risk markers for engaging in
sexual solicitation perpetration
23. Results
4% (n = 58) of adolescents said they had
sexually solicited someone through the Internet
or text messaging at least once in the last year.
25. Internet use
characteristics
Characteristic Solicitors Non-
solicitors
P value
Frequency: 7+ days/week 65% 34% .003
Intensity: 2+ hours/day 47% 20% .001
Instant messaging 52% 22% .001
Chat rooms 12% 3% .002
Social networking sites 41% 16% .001
Internet in bedroom 42% 33% .33
26. Substance use
Characteristic Solicitors Non-
solicitors
P value
Alcohol 66% 11% .000
Marijuana 41% 4% .000
Inhalants 24% 1% .000
All other drugs 17% 1% .000
27. Online Victimization
Characteristic Solicitors Non-
solicitors
P value
Any sexual solicitation 83% 13% .000
Asked to talk about sex 69% 9% .000
Asked for sexual info 78% 9% .000
Asked to do something
sexual
62% 5% .000
Received sexual text m. 20% 2% .000
Received sexual picture txt 21% 1% .000
28. Sexual aggression and
anger
Characteristic Solicitors Non-
solicitors
P value
Propensity for anger
(STAXI) – mean
21.28 18.73 .000
Offline sexual aggression 34% 1% .000
29. Exposure to sexual
material
Characteristic Solicitors Non-
solicitors
P value
Any X-rated material 86% 18% .000
X-rated movies 53% 9% .000
X-rated magazine 71% 11% .000
X-rated web site 58% 8% .000
Any sexually violent
material
41% 3% .000
31. Key risk markers
(LR)
Characteristic Β SE OR
Household education .99 .43 2.7
Instant messaging 1.5 .44 4.5
Social networking sites 1.2 .44 3.4
Offline sexual aggression 1.4 .57 4.1
Parental monitoring -.35 .13 .70
Online sexual solicitation v 2.1 .45 8.3
Exposure to violence 1.3 .64 3.8
Exposure to pornography 1.9 .50 6.6
32. Conclusions
Prevalence rates – equal for girls and boys
Cycle of online sexual solicitation –
victimization and perpetration
Online and offline sexual aggression
Link with pornography
Editor's Notes
Respondents are recruited through partner websites, emails with online partners, refer-a-friend, trade shows, client supplied lists of customers, TV advertisements, direct mail, telephone recruitment of targeted populations
In general, panelists are invited to participate in surveys no more frequently than once every three weeks
As the children were recruited from the adults who initially agreed to take the study, the sample selection bias is found primarily in the characteristics of adults who chose to take this survey. Hence, only adults were propensity weighted and the propensity weights that were generated for the adults were applied to the child. The propensity score was derived from key questions in the survey that examined the attitudes and behaviors of the respondents as well as the demographic questions.
As the children were recruited from the adults who initially agreed to take the study, the sample selection bias is found primarily in the characteristics of adults who chose to take this survey. Hence, only adults were propensity weighted and the propensity weights that were generated for the adults were applied to the child. The propensity score was derived from key questions in the survey that examined the attitudes and behaviors of the respondents as well as the demographic questions.
28% report 31-1hour 24% report half hour or less 22% report 1-2 hours
Sexual violence perpetration – forcing someone into a sexual act (Borowsky, Hogan, & Ireland, 1997) Further, adolescent perpetrators of unwanted sexual behavior are often also victims of unwanted sexual behavior (Bruijn, 2006)
Sexual solicitation – requests to engage in sexual activities or sexual talk or give personal sexual information that were unwanted or, whether wanted or not, made by an adult. Aggressive sexual solicitation – sexual solicitations involving offline contact with the perpetrator through regular mail, by telephone, or in person or attempts or requests for offline contact.
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