Owner-Perception of the Effects of Two Long-Lasting Dog-Appeasing Pheromone Analog Devices on Situational Stress in Dogs

Devices that release a synthetic analog of the canine-appeasing pheromone can help to relax dogs during stressful situations, but they usually last for only one month. Two new devices with this analog were tested by owners of dogs showing signs of stress in a range of everyday situations: Zenidog™ collar, lasting three months, and Zenidog™ diffusing gel, lasting two months (Virbac, Carros, France). They were compared against reference products that last for one month. In the three-month study with collars, one group received Zenidog™ collar, one received the reference collar, and one group of dogs wore an antiparasitic collar alongside a Zenidog™ collar. In the two-month study with diffusers, groups received either the unpowered Zenidog™ gel diffuser or the reference electric diffuser. Owners regularly completed a questionnaire that assessed seventeen general behaviors and sources of fear and eleven specific signs of stress. Global scores for these two main scales were calculated, and the evolution of scores was compared between groups. Non-parametric tests with a Bonferroni correction were used for statistical analysis. An improvement of all global scores was observed in all groups (p < 0.001), including in puppies, and there was no difference between groups. Zenidog™ devices were as effective as the reference devices and lasted longer.

Internet of models of things for situational analysis and forecasting dependent failures

To advance from the internal approach to assessing effectiveness of a new system (based on a set of indicators that often are not sufficiently grounded) to the external, much more objective, approach, when this assessment is made based on the results of functioning a new system as part of a metasystem, it is proposed to supplement the emerging Internet of Things (IoT) with a new sector – the Internet of Models of Things (IoMoT), that is, to implement the transition from the IoT to the IoTaM (Internet of Things and Models). This will allow developers of new devices and systems to justify safety from inclusion in the existing environment by analyzing their relationships with previously specified components.

Trends in Standardization Towards 6G

Mobile networks have always been an indispensable part of a fully connected digital society. The industry and academia have joined hands to develop technologies for the anticipated future wireless communication. The predicted Key Performance Indicators (KPIs) and use cases for the 6G networks have raised the bar high. 6G networks are developing to provide the required infrastructure for many new devices and services. The 6G networks are conceptualized to partially inherit 5G technologies and standards but they will open the ground for innovations. This study provides the vision and requirements for beyond 5G (B5G) networks and emphasizes our vision on the required standards to reach a fully functional and interoperable 6G era in general. We highlight various KPIs and enabling technologies for the B5G networks. In addition, standardization activities and initiatives concerning challenges in the use of spectrum are discussed in detail.

Round Table Discussion: Making Sense of Current Liposuction Technologies

Suction-assisted lipectomy (or “liposuction”) is a fundamental technique for all plastic surgeons, and like many procedures in aesthetic surgery, its applications are continuing to evolve. With the rapid introduction of new technologies, many plastic surgeons are left with questions about how these new devices work, what results to expect, and how to best apply these technologies in their practice. We recognized that there is a need for unbiased recommendations to guide surgeons on how to approach current liposuction devices (as well as their adjuncts), and how to use them effectively for their patients. Using available literature and personal experience, we answer the most common questions that we hear from our plastic surgery colleagues.

Telehealth and digital developments in society that persons 75 years and older in European countries have been part of: a scoping review

Background Demographic changes are leading to an ageing population in Europe. People are becoming more dependent on digital technologies and health ministries invest increasingly in digitalisation. Societal digital demands impact older people and learning to use new telehealth systems and digital devices are seen as a means of securing their needs. Methods The present study undertakes a scoping review in order to map relevant evidence about telehealth and digital developments in society involving citizens aged 75 and over in European countries. It focuses on their experiences and the main barriers to, and facilitators of, societal digital demands. A framework proposed by Arksey and O`Malley was used to guide the scoping review process. The studies included in the review covered telehealth, digital technology and digital devices, and the context covered participants` own home or surroundings. A comprehensive search on PubMed/MEDLINE, CINAHL, Scopus, Embase and Open Grey was undertaken. Results Out of 727 identified citations, 13 sources which met the inclusion criteria (9 original study articles, 2 theses, 1 letter about a product and 1 project report). Few of the studies identified have investigated European citizens 75 years and older separately. The studies included varied in their design, location and focus. Older people have experienced both telehealth and digital devices making life easier and the opposite. The outstanding facilitator found was that technology should be easy to use, and difficulty in remembering the instructions was seen as an important barrier. Interestingly, both social support and lack of social support were found as facilitators of using new devices. Conclusions Telehealth may give a sense of security but learning to use a new device often takes extra effort. Older people were more open to new devices if the possible advantages of the new technology outweighed the effort that would be involved in adopting a new strategy. As technology develops rapidly, and life expectancy in Europe is anticipated to rise continually, there is a need for new and additional research among older European citizens. Future research should cover the technical solutions most relevant to older people today, social support and participants` access to the devices.

Development of a video fluorescence registration system for a LED emitter

Photodynamic therapy (PDT) is widely implemented in clinical practice. This contributes to the development of new devices for conducting fluorescence diagnostics (FD) and PDT. One of the key parameters for the new devices is the ability to perform PDT and evaluate the fluorescence signal during PDT. Most PDT devices do not have the ability to perform PD and register a fluorescent signal, which is important for monitoring the quality of treatment. The purpose of this work is to develop a new device that will be able to conduct PD and PDT during the operation. Using a video system with software for it and an LED irradiator with several types of LEDs. The results show the effective use of this system and the ability to observe FD, as well as conduct.

Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle

Interventional neuroradiology is characterized by engineering- and experience-driven device development with design improvements every few months. However, clinical validation of these new devices requires lengthy and expensive randomized controlled trials. This contribution proposes a machine learning-based in silico study design to evaluate new devices more quickly with a small sample size. Acute diffusion- and perfusion-weighted MRI, segmented one-week follow-up imaging, and clinical variables were available for 90 acute ischemic stroke patients. Three treatment option-specific random forest models were trained to predict the one-week follow-up lesion segmentation for (1) patients successfully recanalized using intra-arterial mechanical thrombectomy, (2) patients successfully recanalized using intravenous thrombolysis, and (3) non-recanalizing patients as an analogue for conservative treatment for each patient in the sample, independent of the true group membership. A repeated-measures analysis of the three predicted follow-up lesions for each patient revealed significantly larger lesions for the non-recanalizing group compared to the successful intravenous thrombolysis treatment group, which in turn showed significantly larger lesions compared to the successful mechanical thrombectomy treatment group (p < 0.001). A groupwise comparison of the true follow-up lesions for the three treatment options showed the same trend but did not reach statistical significance (p = 0.19). We conclude that the proposed machine learning-based in silico trial design leads to clinically feasible results and can support new efficacy studies by providing additional power and potential early intermediate results.