Dual-compartment-gate organic transistors for monitoring biogenic amines from food.

According to the Food and Agriculture Organization of the United Nations (FAO) more than 14% of the world's food production is lost every year before reaching retail, and another 17% is lost during the retail stage. The use of the expiration date as the main estimator of the life-end of food products creates unjustified food waste. Sensors capable of quantifying the effective food freshness and quality could substantially reduce food waste and enable more effective management of the food chain.

Psychological well-being in Europe after the outbreak of war in Ukraine.

The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war.

Construct and criterion validity of the HEXACO Medium School Inventory Extended (MSI-E).

In this cross-sectional study we aimed at: 1) validating the observer (Obs) version of HEXACO Medium School Inventory Extended (MSI-E); 2) establishing convergent and divergent construct validity of the HEXACO-MSI-E; 3) establishing criterion validity of HEXACO-MSI-E. We administered the HEXACO-MSI-E, the Big Five Questionnaire-Children (BFQ-C), the Internalizing and Externalizing scales of Youth Self Report (YSR), some items of the 2019 Middle School Youth Risk Behavior Survey (YRB) and some items about adolescents' values, beliefs, behaviors, and desired features of a possible future job to 1175 adolescents (Mage = 12.03, SD = 0.

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects.

Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms to support patient care and management. The accurate analysis of data obtained from wearable devices is crucial for interpreting and contextualizing health data and facilitating the reliable diagnosis and management of critical and chronic diseases. The combination of edge computing and artificial intelligence has provided real-time, time-critical, and privacy-preserving data analysis solutions.

The role of individual features of memory and impulsiveness in telling a true or false story in a realistic, clear, and reconstructible way.

Objective: The aim of the present study was to explore whether there was an interaction effect between such personal aspects and veracity on realism, clarity, and reconstructability of the story.

Methods: A total of 158 participants took part in the experiment and were asked to tell a truth and a lie during an interview (veracity condition). They filled in a questionnaire measuring their metamemory performance and their level of functional and dysfunctional impulsivity.

The impact of the Russian-Ukrainian war on the mental health of Italian people after 2 years of the pandemic: risk and protective factors as moderators.

Objective: This contribution aimed at investigating the moderating role of risk (e.g., the negative influence of COVID-19 on mental health) and protective (e.

Development and validation of an instrument to measure personality in adolescence: The HEXACO Medium School Inventory Extended (MSI-E).

In this paper, we aimed at developing and validating a novel instrument to evaluate personality in 10-14 years old adolescents with six basic traits, with two dedicated studies. In Study 1, we generated a large pool of items (384 items) from three basic items sources, which we administered to 714 Italian adolescents. Using principal component analysis (PCA) and extension factor analysis, we selected the best eight items for each facet, and so the best 32 items for each factor, except for the Unconventionality facet of Openness to Experience (O) for which we selected the best six items.

An IoT-Aware Solution to Support Governments in Air Pollution Monitoring Based on the Combination of Real-Time Data and Citizen Feedback.

One of the main concerns of the last century is regarding the air pollution and its effects caused on human health. Its impact is particularly evident in cities and urban areas where governments are trying to mitigate its effects. Although different solutions have been already proposed, citizens continue to report bad conditions in the areas in which they live.

Behavior Modeling for a Beacon-Based Indoor Location System.

In this work we performed a comparison between two different approaches to track a person in indoor environments using a locating system based on BLE technology with a smartphone and a smartwatch as monitoring devices. To do so, we provide the system architecture we designed and describe how the different elements of the proposed system interact with each other. Moreover, we have evaluated the system's performance by computing the mean percentage error in the detection of the indoor position.

The Relationship Between Loneliness and Psychological Adjustment: Validation of the Italian Version of the Interpersonal Acceptance-Rejection Loneliness Scale.

In recent literature, many researchers have highlighted that the feeling of loneliness can be considered a sign of relevant distress with short- and long-term consequences on the health of people who needs to be appropriately monitored and treated. In this view, the Interpersonal Acceptance-Rejection Loneliness Scale (IPARLS) has been developed to evaluate the subjective feelings and distress related to interpersonal loneliness and to overcome the limits of the previous scales; however, its psychometric characteristics have not yet been fully investigated. Starting from these considerations, two studies have been conducted.

A Smart and Secure Logistics System Based on IoT and Cloud Technologies.

Recently, one of the hottest topics in the logistics sector has been the traceability of goods and the monitoring of their condition during transportation. Perishable goods, such as fresh goods, have specifically attracted attention of the researchers that have already proposed different solutions to guarantee quality and freshness of food through the whole cold chain. In this regard, the use of Internet of Things (IoT)-enabling technologies and its specific branch called edge computing is bringing different enhancements thereby achieving easy remote and real-time monitoring of transported goods.

An Innovative AAL System Based on IoT Technologies for Patients with Sarcopenia.

Sarcopenia is a highly prevalent, age-related muscle disorder associated with adverse outcomes. It is very important from a medical point of view to periodically monitor patients at risk of developing sarcopenia in order to early detect its onset or progression through objective and specific indicators. Today, the emerging Internet of Things (IoT)-enabling technologies allow us to create innovative, wearable, and non-invasive systems that can offer useful clinical support in this area.

The HEXACO-100 Across 16 Languages: A Large-Scale Test of Measurement Invariance.

The HEXACO Personality Inventory-Revised (HEXACO-PI-R) has become one of the most heavily applied measurement tools for the assessment of basic personality traits. Correspondingly, the inventory has been translated to many languages for use in cross-cultural research. However, formal tests examining whether the different language versions of the HEXACO-PI-R provide equivalent measures of the 6 personality dimensions are missing.

Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users.

The nine-item Problematic Internet Use Questionnaire (PIUQ-9) is a brief self-report screening instrument for problematic internet use. The main objective of the present study was to explore the psychometric properties of the PIUQ-9 among nine different language-based samples of European internet users (Italian, German, French, Polish, Turkish, Hungarian, English, and Greek). The total sample comprised 5,593 internet users (38.

Predictive Validity of the Three-Factor Model of Impulsivity for Risky Behaviors.

Impulsivity is a multifaceted construct particularly relevant for understanding a wide variety of behaviors, especially risky behaviors. A recent conceptualization of impulsivity identifies three impulsivity factors-pervasive influence of feelings, feelings trigger action, and lack of follow-through-that have been shown to predict different behaviors. In this contribution, we examine the psychometric properties of an Italian version of such a three-factor model on a relatively large sample ( = 845).

Appraisal-driven facial actions as building blocks for emotion inference.

Although research on facial emotion recognition abounds, there has been little attention on the nature of the underlying mechanisms. In this article, using a "reverse engineering" approach, we suggest that emotion inference from facial expression mirrors the expression process. As a strong case can be made for an appraisal theory account of emotional expression, which holds that appraisal results directly determine the nature of facial muscle actions, we claim that observers first detect specific appraisals from different facial muscle actions and then use implicit inference rules to categorize and name specific emotions.

A tracking system for laboratory mice to support medical researchers in behavioral analysis.

The behavioral analysis of laboratory mice plays a key role in several medical and scientific research areas, such as biology, toxicology, pharmacology, and so on. Important information on mice behavior and their reaction to a particular stimulus is deduced from a careful analysis of their movements. Moreover, behavioral analysis of genetically modified mice allows obtaining important information about particular genes, phenotypes or drug effects.

An animal tracking system for behavior analysis using radio frequency identification.

Evaluating the behavior of mice and rats has substantially contributed to the progress of research in many scientific fields. Researchers commonly observe recorded video of animal behavior and manually record their observations for later analysis, but this approach has several limitations. The authors developed an automated system for tracking and analyzing the behavior of rodents that is based on radio frequency identification (RFID) in an ultra-high-frequency bandwidth.

Comparison of activation level between true and false items in the DRM paradigm.

The aim of the present study was to compare the activation levels of true and false memories in the Deese-Roediger-McDermott (DRM) paradigm. For this purpose, we used a lexical decision task (LDT) that can be considered a relative pure measure of activation. Participants had to study a list of words that were semantically associated to a critical non-presented word (CI), and afterwards had to classify the actually studied words, the CI and new words in the LDT.

Gender differences in remembering and inferring spatial distances.

The abilities of males and females to make spatial inferences were compared. Spatial inference is concerned with the ability to work out new spatial information from memory. In two experiments, participants had to study line drawings depicting shapes linked either by straight or meandering lines.

Gender differences in object location memory in a real three-dimensional environment.

In this preliminary study we investigate gender differences in object location memory. Our purpose is to extend the results about object location memory obtained in laboratory settings to a real 3-D environment and to further distinguish the specific components involved in this kind of memory by considering the strategies adopted to perform the task. To do this, we join the three-level model of spatial representations (landmark, route, and survey) proposed by Siegel and White (1975) with the three subcomponents of spatial memory (what, where, and what + where) identified by Postma and De Haan (1996).

Preliminary remarks on type of task and delay in children's prospective memory.

This study investigated the extent to which the type of task influences children's prospective memory performance. 80 subjects, aged 7 to 11 yr. participated in an experiment in which the type of task (time-based vs event-based) and the retention interval (5 min.