Essays about: "cigarettes"

Showing result 1 - 5 of 20 essays containing the word cigarettes.

  1. 1. Influencer Endorsements of E-Cigarette Brands on Instagram : A study of Gen Z perception of influencers endorsing e- cigarette brands on Instagram

    University essay from Jönköping University/Internationella Handelshögskolan

    Author : Isha Grover; Ander Jauregui; [2023]
    Keywords : Instagram; Influencer Marketing; Gen Z; E-cigarettes; E-cigarette influencers; Source Credibility; Sponsorship disclosures; Celebrity Endorsement;

    Abstract : The widespread use of social media platforms and the emergence of influencer marketing have revolutionized brand-consumer interactions, particularly among the younger demographic. In line with this trend, the influence of e-cigarette influencers on Generation Z (Gen Z) has become a prominent area of research. READ MORE

  3. 2. Marginal bone loss around dentalimplants: comparison between smokers and non-smokers. : A retrospective clinical study

    University essay from Malmö universitet/Odontologiska fakulteten (OD)

    Author : Amir Ali; Ammar Al-Attar; [2022]
    Keywords : ;

    Abstract : Purpose The aim of the present retrospective study was to compare the marginal bone loss (MBL)around dental implants in a group of smokers in relation to a matched group of non-smokers. Materials and methods The present dental record-based retrospective study included patients selected fromindividuals treated with dental implants during the period 1980-2018 at one specialist clinicin Malmö. READ MORE

  4. 3. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  5. 4. LYFT - A Feminine Alternative for Snus : An Exploratory Study of Consumer Perceptions of Gendered Brands

    University essay from Jönköping University/Internationella Handelshögskolan

    Author : Cilla Palmroos; Samuel Bengtsson; [2021]
    Keywords : Brand Gender; Brand Love; Gender Congruence; Snus;

    Abstract : Background:Brand gender is the set of human personality traits associated with masculinity and femininity applicable and relevant to brands. Brand gender perceptions can be affected through a range of different marketing techniques, to attract specific customers, and positively influence their consumer-brand relationships and their brand equity. READ MORE

  6. 5. What is the impact of COVID-19 lockdown measures on violence and substance use in Greece? Considering the role of culture and gender

    University essay from Malmö universitet/Institutionen för kriminologi (KR)

    Author : Alexandra Ntikouli; [2021]
    Keywords : COVID-19; gender; Greece; mental health; Strain theory; substance use; violent behavior;

    Abstract : The unprecedented situation caused by the COVID-19 pandemic worldwide is characterized by social isolation, separation from loved ones and limited freedom. These events have been identified as adversely affecting the mental health of the population, who suffer mainly from depression, anxiety symptoms, anger and fear feelings as well as sleep problems. READ MORE