Do You Have the Energy for This Meeting?: An Empirical Study on the Energy Consumption of the Google Meet and Zoom Android apps

Context. With 'work from home' policies becoming the norm during the COVID-19 pandemic, videoconferencing apps have soared in popularity, especially on mobile devices. However, mobile devices only have limited energy capacities, and their batteries degrade slightly with each charge/discharge cycle. Goal. With this research we aim at comparing the energy consumption of two Android videoconferencing apps, and studying the impact that different features and settings of these apps have on energy consumption. Method. We conduct an empirical experiment by utilizing as subjects Google Meet and Zoom. We test the impact of multiple factors on the energy consumption: number of call participants, microphone and camera use, and virtual backgrounds. Results. Zoom results to be more energy efficient than Google Meet, albeit only to a small extent. Camera use is the most energy greedy feature, while the use of virtual background only marginally impacts energy consumption. Number of participants affect differently the energy consumption of the apps. As exception, microphone use does not significantly affect energy consumption. Conclusions. Most features of Android videoconferencing apps significantly impact their energy consumption. As implication for users, selecting which features to use can significantly prolong their mobile battery charge. For developers, our results provide empirical evidence on which features are more energy-greedy, and how features can impact differently energy consumption across apps. © 2022 ACM.

Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage

The COVID-19 pandemic has affected our lives and how we use network infrastructures in an unprecedented way. While early studies have started shedding light on the link between COVID-19 containment measures and mobile network traffic, we presently lack a clear understanding of the implications of the virus outbreak, and of our reaction to it, on the usage of mobile apps. We contribute to closing this gap, by investigating how the spatiotemporal usage of mobile services has evolved through different response measures enacted in France during a continued seven-month period in 2020 and 2021. Our work complements previous studies in several ways: (i) it delves into individual service dynamics, whereas previous studies have not gone beyond broad service categories;(ii) it encompasses different types of containment strategies, allowing to observe their diverse effects on mobile traffic;(iii) it covers both spatial and temporal behaviors, providing a comprehensive view on the phenomenon. These elements of novelty let us lay new insights on how the demands for hundreds of different mobile services are reacting to the new environment set forth by the pandemics. © 2022 IEEE.

The Immunity Capital

This paper is inspired by a thesis on “immune capital” by Kathryn Olivarius. We suggest that the biological capital, which immunity capital is part of, should be considered as an additional component of the life-course experience of individuals, together with the traditional Bourdieu’s social, economic and cultural capitals that drive their lives. Building upon this concept, we consider the relationships between science, society and policy-making in the course of the pandemic. We suggest that we need to ‘reframe problems so that their ethical dimensions are brought to light’ (Jasanoff), with a request for humility extended to political leaders, to ‘look beyond science’ in search for ethical solutions. The present pandemic plays out―and is integral to―the acceleration of the rate of change, Pope Francis’ peculiar word “rapidification”, i.e. a vortex involving technoscience, policy and the new media. © 2021 University of Sassari

Determinants affecting consumers' attention to fish eco-labels in purchase decisions: a cross-country study

Purpose: The purpose of this study was to investigate the role of consumer altruism and other socio-cultural factors in predicting how much attention consumers pay to seafood eco-labels. Design/methodology/approach: The empirical investigation was carried out by administering an online questionnaire to a sample of Italian and Spanish people from December 2019 to April 2020. After carrying out the principal component analysis procedure, the work made use of an ordinal logistic regression. Findings: Both Italian and Spanish consumers with an altruistic attitude, who feel that food produced in a sustainable way can protect the environment and workers, appear more likely to take an eco-label into account. In addition, in both countries, consumers with a higher level of education and in the older age range are more likely to read eco-labels before buying fish products. Research limitations/implications: The first limitation is mainly related to the sampling procedure, which is not probabilistic and does not allow for generalisation of the results. Furthermore, some indicators related to COVID-19 were not included as the planning stage of the research methodology occurred before the pandemic. Practical implications: A better understanding of the main determinants predicting consumers' attention to seafood eco-labels could be crucial to promote effective marketing strategies aimed at increasing consumer interest and awareness in sustainable seafood and eco-labels. Originality/value: Exploring the role of consumers' altruism in how much attention is paid to seafood eco-labels appears to be a new approach that emphasises the role of altruism as a variable capable of bridging the “value-action gap”. © 2021, Emerald Publishing Limited.

Caesarean Section in Preventing Stillbirths in Pregnancy Complicated with COVID-19: a Narrative Review.

INTRODUCTION: COVID-19 is a complex syndrome caused by SARS-Cov-2. It mainly affects the respiratory system, but it could cause serious harm during pregnancy. An increase in stillbirths and preterm births has been highlighted by many authors. Although WHO and Royal College of Obstetrics and Gynecology don't recommend elective cesarean section in women with confirmed infection, cesarean sections were performed by many clinicians. This short narrative review aims to analyze pieces of evidence found in literature about the effectiveness of cesarean section in preventing stillbirths in COVID-19 positive mothers. METHODS: Studies included in the present review were retrieved searching MEDLINE (last access August 5th, 2021) with the following keywords: "pregnant woman with covid-19", "Caesarean section", "Ab-dominal Delivery" and "Stillbirth". Studies regarding the mode of delive-ry in pregnant women infected with COVID-19 and neonatal outcomes were included. Studies about biology, anesthesiology and necroscopy were excluded. Filters for "human" and "English" were applied. RESULTS: Searching MEDLINE, 24 references were found. Other 103 articles were found searching bibliography. Two references were excluded after duplicate removal, 77 references after the title screen and 27 after the abstract screen. The final number of references included was 23. Most of the included studies were case reports. Most of them were from China. DISCUSSION: Many authors highlighted the increased risk of fetal death in pregnancies complicated with SARS-Cov-2 infection, but it is not clear if Caesarean Section could reduce this risk. Pieces of evidence show that most clinicians choose to perform an elective cesarean section mostly because of maternal conditions or the fear of possible vertical transmission. Data show that mode of delivery doesn't affect the neonatal outcome and Caesarean Section doesn't reduce the positivity rate among neonates. Different opinions were found about the possible infection of amniotic fluid, cord blood and placenta. The risk of vertical transmission is considered moderate or low by most of the authors. Positivity to SARS-Cov-2 isn't an indication of elective cesarean section by itself, but this mode of delivery should be optioned in patients with other obstetrical indications or with severe conditions due to COVID. The recent increase in stillbirths could be related to the overall deterioration of maternal conditions.

Hidden flows assessment in the agri-food sector: evidence from the Italian beef system

Purpose: The study proposes Material Flow Analysis (MFA) methodology as a tool to measure and qualify food waste in the Italian beef supply chain in each stage of the food supply chain, from farm to fork. In particular, the authors attempt to: (1) measure resources consumption and waste generation toward companies' and policymakers' sustainable evaluations;(2) enhance consumers' education in the field of agri-food resilience and sustainability. Design/methodology/approach: MFA is applied to the entire Italian sector of beef consumed as packaged fresh product in 2020, during the Covid-19 pandemic. The analysis regards bovine, which represent roughly one-third of the national meat flow. To collect data, bottom-up and top-down mixed approach is applied. Subsequently, MFA results are used to calculate the wastage-related losses in terms of embedded natural resources (e.g. water, energy). Findings: In 2020, it results that the Italian meat industry slaughtered more than 1.15 Mt of bovine to produce approximately 0.29 Mt of fresh meat, 0.69 Mt of by-products and over 0.015 Mt of food waste at households, while 0.15 Mt of beef meat is destined to catering services and food industry (out-of-boundaries). In terms of hidden natural resources, it emerged that, on average, more than 94bn m3 of water, approximately 101,000 TJ of energy and over 11,500 t of PET and PE trays are required to sustain the entire beef system. Originality/value: This research is one of the few studies proposing MFA methodology as a tool to measure food waste and hidden associated flows in the agri-food sector. This analysis shows its utility in terms of natural resources (water, energy, materials) and waste quality/quantity evaluation, hidden flows accounting and development of new educational strategies toward food waste minimization and sustainability at household consumption. © 2021, Vera Amicarelli, Mariantonietta Fiore and Christian Bux.

Staying tuned for post-COVID-19 syndrome: looking for new research to sniff out.

Post-COVID-19 syndrome was defined as a persistent and protracted illness, which follows acute COVID-19 infection. This condition continues for more than 12 weeks and cannot be attributed to other clinical situations. Researchers and clinicians are allied in unraveling the molecular pathogenetic mechanisms and the clinical development of this unexpected SARS-CoV-2 infectious evolution. Anosmia, dysgeusia, fatigue, dyspnea, and 'brain fog' are common symptoms observed in the Post-COVID-19 syndrome, depicting a multiorgan involvement associated with injuries involving mainly cardiovascular, pulmonary, musculoskeletal, and neuropsychiatric systems. This commentary analyzes the state of the art of Post-COVID-19 interdisciplinary studies, confirming that we are facing a truly intricate biomedicine story.

Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis

(1) Aim: To test the performance of a deep learning algorithm in discriminating radiation therapy-related pneumonitis (RP) from COVID-19 pneumonia. (2) Methods: In this retrospective study, we enrolled three groups of subjects: pneumonia-free (control group), COVID-19 pneumonia and RP patients. CT images were analyzed by mean of an artificial intelligence (AI) algorithm based on a novel deep convolutional neural network structure. The cut-off value of risk probability of COVID-19 was 30%;values higher than 30% were classified as COVID-19 High Risk, and values below 30% as COVID-19 Low Risk. The statistical analysis included the Mann-Whitney U test (significance threshold at p < 0.05) and receiver operating characteristic (ROC) curve, with fitting performed using the maximum likelihood fit of a binormal model. (3) Results: Most patients presenting RP (66.7%) were classified by the algorithm as COVID-19 Low Risk. The algorithm showed high sensitivity but low specificity in the detection of RP against COVID-19 pneumonia (sensitivity = 97.0%, specificity = 2%, area under the curve (AUC = 0.72). The specificity increased when an estimated COVID-19 risk probability cut-off of 30% was applied (sensitivity 76%, specificity 63%, AUC = 0.84). (4) Conclusions: The deep learning algorithm was able to discriminate RP from COVID-19 pneumonia, classifying most RP cases as COVID-19 Low Risk.

Challenges for Midwives' Healthcare Practice in the Next Decade: COVID-19 - Global Climate Changes - Aging and Pregnancy - Gestational Alcohol Abuse.

Midwives are multifaceted healthcare professionals whose competence spectrum includes a large variety of knowledge and skills going from antenatal care to education and research. The aim of this review is to suggest the future challenges midwives are going to face in the upcoming decade of this Century. COVID-19 and other infections will reasonably impact healthcare workers all over the world. Midwives are frontline healthcare professionals who are constantly at risk of contagion as their job implies close contact with women, physical support and hand touch. Also, menstruation waste plays a large role in the pollution of waters, severely impacting hygiene in the developing countries and fueling climate change. Appropriate disposal of used menstrual material is still insufficient in many countries of the world especially because of lack of sanitary education on girls. As educators, midwives will be more involved into preventing inappropriate disposal of menstrual hygiene devices by educating girls around the world about the green alternatives to the commercial ones. Despite the evidences about the fertility decrement that occurs with aging, women keep postponing reproduction and increasing their chance being childless or suffering complications related to the advanced maternal age. Teen pregnancies are as well an important issue for midwives who will be called to face more age-related issues and use a tailored case to case approach, enhancing their family planning skills. Another crucial role of midwifery regards the information about the risk of drinking alcohol during gestation. Alcohol assumption during pregnancy is responsible for serious damage to the fetus causing a wide range of pathological conditions related to Fetal Alcoholic Spectrum Disorder, leading cause of mental retardation in children of western countries. On the whole, midwives have demonstrated their willingness to expand their practice through continuing professional development, and through specialist and advanced roles especially in preventive and educational positions.