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Abstract:The present paper presents a theoretical perspective on assistive technology for elderly people. In a context characterized by an aging population and an increased life expectancy, it is highly likely that we will become the spectators of a powerful pressure on the medical assistance process. An increasing life expectancy means an increasing need of assistance for longer periods of time, which might become an unfeasible and unrealistic policy due to limited medical resources. In this context, assistive technology might become the only solution. Starting from an international context, this paper aims to theoretically present the way technology can be used as a tool for the elderly's needs.

Abstract:The present research aims to better understand the impact of brand exposure and brand perception on logo recall and recognition. Building off of prior work that has examined surprising impairments in visual memory for the Apple logo (Blake, Nazarian and Castel, 2015), a comparative analysis is developed by comparing computer science and social science becoming specialists. The Apple logo is used as a case study due to its minimalism. The data reveal that only a small amount of the subjects can recall and recognize the Apple logo correctly. The recognition phase, in comparison with the recalling one, seems to be an easier task for the subjects. However, although the stylized features of the logo are often overlooked, each subject manages to recognize a large amount of details of the logo. Contrary to expectations, regardless of being a man or a woman, owning an Apple device, or developing a very positive emotional attachment to the brand are not significant variables that can determine a higher level of recall and recognition. Nevertheless, having a strong background in the technological domain can increase the probability of paying much attention to the details of a technical brand.

Social media is associated with the rise of new types of celebrities called influencers, who share their current experiences and ideas and often endorse brands. Developing and keeping a large community of followers is one of the most important goals of influencers. The size of their audiences is one of the elements that make them relevant to the advertising industry. The main objective of the present research is to explore the mechanism that determines users’ online behavior related to influencers, such as following them on social media. Moreover, the study examined the role of the perceived information quality and of the perceived trust of the influencers in shaping audiences’ attitudes toward influencers. The moderating role of the frequency of Instagram and YouTube use on the relationship between perceived information quality and trustworthiness was explored by conducting an online survey (N=1088). The main takeaway from the study is that influencers who want to grow their audiences have to create perceived quality content. This can contribute to both positive attitudes and the development of trust. Also, the frequency of Instagram use has a small moderating role, while the frequency of YouTube use has no effects on the trustworthiness of the influencers.

IntroductionWithin the technological development path, chatbots are considered an important tool for economic and social entities to become more efficient and to develop customer-centric experiences that mimic human behavior. Although artificial intelligence is increasingly used, there is a lack of empirical studies that aim to understand consumers’ experience with chatbots. Moreover, in a context characterized by constant population aging and an increased life-expectancy, the way aging adults perceive technology becomes of great interest. However, based on the digital divide (unequal access to technology, knowledge, and resources), and since young adults (aged between 18 and 34 years old) are considered to have greater affinity for technology, most of the research is dedicated to their perception. The present paper investigates the way chatbots are perceived by middle-aged and aging adults in Romania.MethodsAn online opinion survey has been conducted. The age-range of the subjects is 40–78 years old, a convenience sampling technique being used (N = 235). The timeframe of the study is May–June 2021. Thus, the COVID-19 pandemic is the core context of the research. A covariance-based structural equation modelling (CB-SEM) has been used to test the theoretical assumptions as it is a procedure used for complex conceptual models and theory testing.ResultsThe results show that while perceived ease of use is explained by the effort, the competence, and the perceive external control in interacting with chatbots, perceived usefulness is supported by the perceived ease of use and subjective norms. Furthermore, individuals are likely to further use chatbots (behavioral intention) if they consider this interaction useful and if the others’ opinion is in favor of using it. Gender and age seem to have no effect on behavioral intention. As studies on chatbots and aging adults are few and are mainly investigating reactions in the healthcare domain, this research is one of the first attempts to better understand the way chatbots in a not domain-specific context are perceived later in life. Likewise, judging from a business perspective, the results can help economic and social organizations to improve and adapt AI-based interaction for the aging customers.

Sorafenib is a multikinase inhibitor that has received increasing attention due to its high efficacy in hepatocellular carcinoma treatment. However, its poor pharmacokinetic properties (limited water solubility, rapid elimination, and metabolism) still represent major bottlenecks that need to be overcome in order to improve Sorafenib’s clinical application. In this paper, we propose a nanotechnology-based hybrid formulation that has the potential to overcome these challenges: sorafenib-loaded nanoliposomes. Sorafenib molecules have been incorporated into the hydrophobic lipidic bilayer during the synthesis process of nanoliposomes using an original procedure developed in our laboratory and, to the best of our knowledge, this is the first paper reporting this type of analysis. The liposomal hybrid formulations have been characterized by transmission electron microscopy (TEM), dynamic light scattering (DLS), and nanoparticle tracking analysis (NTA) that provided useful information concerning their shape, size, zeta-potential, and concentration. The therapeutic efficacy of the nanohybrids has been evaluated on a normal cell line (LX2) and two hepatocarcinoma cell lines, SK-HEP-1 and HepG2, respectively.

Preeclampsia (PE) is the most severe complication of pregnancy with substantial burden of morbidity and mortality for mother and neonate. The increased placental oxidative stress (OS) has been involved as central pathomechanism, yet the sources of reactive oxygen species (ROS) are partially elucidated. Monoamine oxidase (MAO) with 2 isoforms, A and B, at the outer mitochondrial membrane has emerged as a constant source of ROS in cardiometabolic pathologies. The present pilot study was purported to assess as follows: (i) the magnitude of placental OS in relation to the site of sampling and (ii) the expression of placental MAO in the setting of PE. To this aim, central and placental samples were harvested during cesarean section from mild and severe PE versus healthy pregnancies. ROS generation (dihydroethidium staining) and MAO expression were assessed (confocal microscopy). MAO gene transcript was evaluated by RT-PCR. The main findings are as follows: (i) a significant increase in placental OS was found in severe (but not in mild) PE with no regional differences between central and peripheral areas and (ii) placental MAO-A and B (gene and protein) were significantly increased in severe preeclampsia. The signal transduction of the latter finding, particularly in relation with mitochondrial dysfunction, is worth further studying.

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