Reconsidering the Meaning of Home and the Psycho-social Well-being Perception. A Case Study in a Dutch Neighborhood

The paper examines the extent to which the meanings given to home and neighborhood are associated with the perceived psycho-social well-being of inhabitants and households, based on a review of the literature and a conceptualization of the meanings of home and neighborhood in various dimensions. The paper analyzes data from a survey conducted in the neighborhood of Barkmolenstraat (Groningen, The Netherlands). Using the factor analysis, two factors indicating meanings of home are distinguished: the home as a “Predictable Environment”, and the home as a “Status”. Four factors indicate neighborhood attachment: sense of belonging, safety, sociability and the feeling of being controlled. The findings from OLS regression analyses show the importance of the home as a “predictable environment” in perceived psycho-social well-being. The sense of belonging to the neighborhood and safety are positively associated with psycho-social well-being, whereas the feeling of being controlled is negatively associated with it

HOLMeS: eHealth in the Big Data and Deep Learning Era

Now, data collection and analysis are becoming more and more important in a variety of application domains, as long as novel technologies advance. At the same time, we are experiencing a growing need for human–machine interaction with expert systems, pushing research toward new knowledge representation models and interaction paradigms. In particular, in the last few years, eHealth—which usually indicates all the healthcare practices supported by electronic elaboration and remote communications—calls for the availability of a smart environment and big computational resources able to offer more and more advanced analytics and new human–computer interaction paradigms. The aim of this paper is to introduce the HOLMeS (health online medical suggestions) system: A particular big data platform aiming at supporting several eHealth applications. As its main novelty/functionality, HOLMeS exploits a machine learning algorithm, deployed on a cluster-computing environment, in order to provide medical suggestions via both chat-bot and web-app modules, especially for prevention aims. The chat-bot, opportunely trained by leveraging a deep learning approach, helps to overcome the limitations of a cold interaction between users and software, exhibiting a more human-like behavior. The obtained results demonstrate the effectiveness of the machine learning algorithms, showing an area under ROC (receiver operating characteristic) curve (AUC) of 74.65% when some first-level features are used to assess the occurrence of different chronic diseases within specific prevention pathways. When disease-specific features are added, HOLMeS shows an AUC of 86.78%, achieving a greater effectiveness in supporting clinical decisions

The good, the bad and the ugly: Emys trinacris, Placobdella costata and Haemogregarina stepanowi in Sicily (Testudines, Annelida and Apicomplexa)

Endemic Sicilian pond turtles Emys trinacris Fritz, Fattizzo, Guicking, Tripepi, Pennisi, Lenk, Joger et Wink were examined for the presence of haemogregarine parasites. The presence of haemogregarines, occurring mainly in the microgametocyte stage (13.2 ± 0.12 μm in length and 6.4 ± 0.52 μm in width), was observed in approximately 9% of the sampled E. trinacris. Based on the observed morphology and on the sequencing of nuclear 18S rDNA, we identified the parasite as Haemogregarina stepanowi Danilewsky, 1885. Morphometric study of uninfected and infected red blood cells has shown that H. stepanowi induces different changes in erythrocyte shape depending on the infective stage. The differential count of leukocytes in specimens infected with H. stepanowi showed no significant difference compared with healthy specimens. However, considering the health problems which might be induced by H. stepanowi in the closely related European pond turtle Emys orbicularis (Linneaus), monitoring of the health status of the infected Sicilian populations of E. trinacris is desirable. The restricted distribution of populations of Emys infected with haemogregarines in Sicily is quite puzzling and the possible human-mediated introduction of the parasite in Sicily is briefly discussed

Amendment of the type locality of the endemic Sicilian pond turtle Emys trinacris Fritz et al. 2005, with some notes on the highest altitude reached by the species (Testudines, Emydidae)

The type locality of the Sicilian pond turtle Emys trinacris is here amended, and its correct name and geographical coordinates are provided. The locus typicus of the species lies at 1007 m a.s.l., i.e. nearly 400 m below what previously thought. The updated altitudinal distribution range of the species, based on verified published localities only, is between 0 and 1036 m a.s.l

Deltamethrin Residues in Milk and Cheese of Lactating Goats (Capra hircus)

peer-reviewedThe distribution of pyrethroid insecticide deltamethrin (DLM) in goat milk and cheese (caciotta) following pour-on administration at the sheep dosage (DLMS-10 mL/60 kg body weight) and double dosage (DLMD-20 mL/60 kg body weight) was studied. DLM concentrations were measured in milk collected from study animals (No.14) before treatment and at 2, 4, 8, 12, 16, 24, 30, 36, 48, 56, until 168 h (7 days) post treatment and in caciotta cheese at 12 and 24 h post treatment. At both dosages, the maximum level of DLM residues in goat milk and cheese was below the maximum residue limit (MRL) of 20 μg kg−1 established for bovine milk (EU No 37/2010) at all time points. However, in terms of public health, higher DLM residues in cheese show that further specific studies should be performed on double dosage efficacy and pharmacokinetic and pharmacodynamics properties of ectoparasites in lactating goats

Luteal Phase Support Using Subcutaneous Progesterone: A Systematic Review

Luteal phase support (LPS) is crucial in assisted reproductive technology (ART) cycles when the luteal phase has been found to be defective. Such deficiency is most likely related to the supraphysiological steroid levels that usually occurr in stimulated cycles which, in turn, could severely affect luteinizing hormone (LH) secretion and function, thereby negatively influencing the luteal phase. A number of different medications and routes have been successfully used for LPS in ART. Although an optimal protocol has not yet been identified, the existing plethora of medications offer the opportunity to personalize LPS according to individual needs. Subcutaneous administration progesterone has been proposed for LPS and could represent an alternative to a vaginal and intramuscular route. The aim of the present systematic review is to summarize the evidence found in the literature concerning the application of subcutaneous progesterone in ARTs, highlighting the benefits and limits of this novel strategy. With this aim in mind, we carried out systematic research in the Medline, ISI Web of Knowledge, and Embase databases from their inception through to November 2020. Randomized controlled trials (RCTs) were preferred by the authors in the elaboration of this article, although case-control and cohort studies have also been considered. According to our findings, evidence exists which supports that, in women with a good prognosis undergoing a fresh in vitro fertilization (IVF) cycle, subcutaneous Pg is not inferior to vaginal products. In the Frozen-thawed embryo transfer (FET) cycle, data concerning efficacy is mixed with an increased miscarriage rate in women undergoing a subcutaneous route in oocyte donor recipients. Data concerning the acceptance of the subcutaneous route versus the vaginal route are encouraging despite the different scales and questionnaires which were used. In addition, a cost-effective analysis has not yet been conducted

Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project

Bullying and cyberbullying are phenomena which, due to their growing diffusion, have become a real social emergency. In this context, artificial intelligence can be a powerful weapon to identify episodes of violence and fight bullying both in the virtual and in the real world. Through machine learning, it is possible to detect the language patterns used by bullies and their victims and develop rules to detect cyberbullying content automatically. The BullyBuster project merges the know-how of four interdisciplinary research groups to develop a framework useful for maintaining psycho-physical well-being in educational contexts

Imaging of hepatocellular carcinoma recurrence after liver transplantation

Liver transplantation (LT) provides the highest survival benefit to patients with unresectable hepatocellular carcinoma (HCC). The Milan criteria have been developed for the selection of LT candidates with the goal of improving survival and maintaining an acceptable risk of HCC recurrence. Despite this, recurrence of HCC after LT occurs in up to 20% of cases and represents a major concern due to the poor prognosis of these patients. Furthermore, several extended criteria for the selection of LT candidates have been proposed to account for the growing demand for organs and the resultant increase in the risk of HCC recurrence. Radiologists should be aware that HCC can recur after LT with multiple organ involvement. Knowledge of the location and radiologic appearance of recurrent HCC is necessary to ensure the choice of the most appropriate therapy. This paper aims to comprehensively summarize the spectrum of HCC recurrence after LT and to examine and discuss the imaging features of these lesions. CRITICAL RELEVANCE STATEMENT: This paper aims to share a review of imaging findings of HCC recurrence after LT and to make radiologists familiar with the spectrum of this disease

Efficacy and safety of the sofosbuvir/velpatasvir combination for the treatment of patients with early mild to moderate COVID-19

: SARS-CoV-2 is still a health problem worldwide despite the availability of vaccines. Therefore, there is a need for effective and safe antiviral. SARS-CoV-2 and HCV necessitate RNA-dependent RNA polymerase (RdRp) for replication; therefore, it has been hypothesized that RdRp inhibitors used to treat HCV may be effective treating SARS-CoV-2. Accordingly, we evaluated the effect of the sofosbuvir/velpatasvir (SOF/VEL) combination in early SARS-CoV-2 infection. A multicenter case-control study was conducted, enrolling 120 patients with mild or moderate COVID-19, of whom 30, HCV coinfected or not, received SOF/VEL tablets (400/100 mg) once daily for 9 days within a median of 6 days from the beginning of infection and 90 controls were treated with standard care. The primary endpoint was the effect on viral clearance, and the secondary endpoint was the improvement of clinical outcomes. Nasal swabs for SARS-CoV-2 by PCR were performed every 5-7 days. Between 5-14 days after starting SOF/VEL treatment, SAS-CoV-2 clearance was observed in 83% of patients, while spontaneous clearance in the control was 13% (p < 0.001). An earlier SARS-CoV-2 clearance was observed in the SOF/VEL group than in the control group (median 14 vs 22 days, respectively, p < 0.001) also when the first positivity was considered. None of the patients in the SOF/VEL group showed disease progression, while in the control group, 24% required more intensive treatment (high flow oxygen or noninvasive/invasive ventilation), and one patient died (p < 0.01). No significant side effects were observed in the SOF/VEL group. Early SOF/VEL treatment in mild/moderate COVID-19 seems to be safe and effective for faster elimination of SARS-CoV-2 and to prevent disease progression