Methodological Approaches for Monitoring Five Major Food Safety Hazards Affecting Food Production in the Galicia–Northern Portugal Euroregion

The agri-food industry has historically determined the socioeconomic characteristics of Galicia and Northern Portugal, and it was recently identified as an area for collaboration in the Euroregion. In particular, there is a need for action to help to ensure the provision of safe and healthy foods by taking advantage of key enabling technologies. The goals of the FOODSENS project are aligned with this major objective, specifically with the development of biosensors able to monitor hazards relevant to the safety of food produced in the Euroregion. The present review addresses the state of the art of analytical methodologies and techniques—whether commercially available or in various stages of development—for monitoring food hazards, such as harmful algal blooms, mycotoxins, Listeria monocytogenes, allergens, and polycyclic aromatic hydrocarbons. We discuss the pros and cons of these methodologies and techniques and address lines of research for point-of-care detection. Accordingly, the development of miniaturized automated monitoring strategies is considered a priority in terms of health and economic interest, with a significant impact in several areas, such as food safety, water quality, pollution control, and public health. Finally, we present potential market opportunities that could result from the availability of rapid and reliable commercial methodologies.

Occult Infection with Hepatitis C Virus: Looking for Clear-Cut Boundaries and Methodological Consensus

The sustained virologic response and elimination of HCV is widely viewed as a true cure of chronic hepatitis C as it associates with amelioration of histological liver damage and improved clinical outcomes. Therefore, the existence and clinical burden of occult HCV infection (OCI) has been a controversial issue for many years. In this review, we summarize recently published data that adds new information on the molecular and clinical background of OCI and its epidemiological significance. We also identify and discuss the most important methodological pitfalls, which can be a source of inconsistency between studies. Data that have accumulated so far, strongly support the existence of extrahepatic HCV replication in individuals negative for serum HCV-RNA by conventional clinical tests. OCI emerges as a condition where the immune system is unable to fully resolve infection but it is continuously stimulated by low levels of HCV antigens, leading to progression of liver pathology and extrahepatic HCV-related complications. Moreover, the development of monitoring strategies or management guidelines for OCI is still hampered by the lack of clear definition and the confusion regarding its clinical significance. Careful study design and the introduction of uniform protocols for the detection of low-level HCV-RNA are crucial for obtaining reliable data on OCI.

Adaptation and Validation of a Chinese Online Self-Regulated Learning Questionnaire

This study aimed to adapt and validate a Chinese version of the online self-regulated learning questionnaire (COSLQ) with Chinese junior secondary students in Hong Kong. A total of 716 students from six schools participated voluntarily in the study. Overall, the findings of this study supported the COSLQ’s psychometric quality. The COSLQ subscales all demonstrated high internal consistency. Different measurement models were tested using confirmatory factor analysis. The results indicated that a 7-factor model best fit the data, suggesting that the participants could distinguish seven types of online self-regulatory strategies: goal setting, environment structuring, time management, effort regulation, cognitive/monitoring strategies, help seeking, and self-evaluation.

An SDN-Based Solution for Horizontal Auto-Scaling and Load Balancing of Transparent VNF Clusters

This paper studies the problem of the dynamic scaling and load balancing of transparent virtualized network functions (VNFs). It analyzes different particularities of this problem, such as loop avoidance when performing scaling-out actions, and bidirectional flow affinity. To address this problem, a software-defined networking (SDN)-based solution is implemented consisting of two SDN controllers and two OpenFlow switches (OFSs). In this approach, the SDN controllers run the solution logic (i.e., monitoring, scaling, and load-balancing modules). According to the SDN controllers instructions, the OFSs are responsible for redirecting traffic to and from the VNF clusters (i.e., load-balancing strategy). Several experiments were conducted to validate the feasibility of this proposed solution on a real testbed. Through connectivity tests, not only could end-to-end (E2E) traffic be successfully achieved through the VNF cluster, but the bidirectional flow affinity strategy was also found to perform well because it could simultaneously create flow rules in both switches. Moreover, the selected CPU-based load-balancing method guaranteed an average imbalance below 10% while ensuring that new incoming traffic was redirected to the least loaded instance without requiring packet modification. Additionally, the designed monitoring function was able to detect failures in the set of active members in near real-time and active new instances in less than a minute. Likewise, the proposed auto-scaling module had a quick response to traffic changes. Our solution showed that the use of SDN controllers along with OFS provides great flexibility to implement different load-balancing, scaling, and monitoring strategies.

Training Savvy Caregiver Program Group Leaders Through an Online Course

A significant factor limiting organizations’ implementation of the Savvy Caregiver program, a widely disseminated dementia caregiver psychoeducation course, is the need to provide training to program leaders to ensure their understanding of Savvy core principles and strengthen their teaching and coaching skills. Such training has typically been provided through in-person group sessions led by the Savvy developers. To facilitate broader availability, we have embarked on an NIA-supported program to develop a fully online self-paced Savvy train-the-trainer course. The course, delivered individually on a widely used teaching platform, is in seven sections: the first introduces Savvy principles and the trainer role; the next six cover the content and teaching strategies of each of Savvy’s six sessions. In the first development phase, 33 individuals from 13 organizations across the country took part in training (average age 49.5; almost all college level or professional women). Qualitative interviews with 11 trainees and debriefing sessions with others yielded consistently positive responses: the training enhanced their own appreciation for caregiving; they endorsed the self-paced learning and; and it established expectations for positive benefits of Savvy for caregivers. Trainees’ feedback has led to several improvements, including resolving reported technical glitches (e.g., navigating the course). New videos illustrating group delivery methods have been added. Fidelity monitoring strategies are supported as organizations have been encouraged to augment the online training by convening meetings of trainees while in training to enable role playing, and greater personalization is achieved via post-training Zoom meetings with trainees and the Savvy training team staff.

Long-Term Monitoring Strategies for Increasing EPCs Reliability

Energy retrofit strategies for buildings represent a major challenge for the achievement of EU decarbonization goals. In 2002, the Energy Performance of Building Directive introduced energy certificates to measure and compare building energy performance, to frame the more suitable renovation actions, and develop financing schemes. However, since its implementation, this instrument remained quite unexploited. In this framework, the EPC RECAST H2020 project aims at developing a new generation of EPCs with a focus on existing residential buildings. Within the project, the paper focuses on the monitoring strategy that has been defined and tested to validate, with real data, what is declared in Energy Performance Certificates.

The Influence of Monitoring Strategy on Assessment of Ablation Success and Post-ablation Atrial Fibrillation Burden Assessment: Implications for Practice and Clinical Trial Design

Background: Various non-invasive intermittent rhythm monitoring strategies have been used to assess arrhythmia recurrences in trials of atrial fibrillation (AF) ablation. We determined whether a frequency and duration of non-invasive rhythm monitoring could be identified that accurately detects arrhythmia recurrences and approximates the AF burden derived from continuous monitoring using an implantable cardiac monitor (ICM). Methods: The rhythm history of 346 patients enrolled in the CIRCA-DOSE trial was reconstructed. Using computer simulations, we evaluated event-free survival, sensitivity, negative predictive value, and AF burden of a range of non-invasive monitoring strategies, including those used in contemporary AF ablation trials. Results: A total of 126,290 monitoring days were included in the analysis. At 12 months, 164 patients experienced atrial arrhythmia recurrence as documented by the ICM (1-year event-free survival 52.6%). Most non-invasive monitoring strategies used in AF ablation trials had poor sensitivity for detecting arrhythmia recurrence. Sensitivity increased with the intensity of monitoring, with serial (3) short-duration monitors (24-/48-hour ECG monitors) missing a substantial proportion of recurrences (sensitivity 15.8% [95% confidence interval (CI) 8.9-20.7%] and 24.5% [95% CI 16.2-30.6%], respectively). Serial longer-term monitors (14-day ECG monitors) more closely approximated the gold-standard ICM (sensitivity 64.6% [95% CI 53.6-74.3%]). AF burden derived from short-duration monitors significantly over-estimated the true AF burden in patients with recurrences. Increasing monitoring duration resulted in improved correlation and concordance between non-invasive estimates of the invasive AF burden (R2 = 0.85 and interclass correlation coefficient = 0.91 for serial [3] 14-day ECG monitors vs ICM). Conclusions: Detection of arrhythmia recurrence following ablation is highly sensitive to the monitoring strategy employed, between-trial discrepancies in outcomes may reflect different monitoring protocols. Based on measures of agreement, serial long-term (7-14 day) intermittent monitors accumulating at least 28 days of annual monitoring provide estimates of AF burden comparable to ICM. However, ICMs outperform intermittent monitoring for arrhythmia detection, and should be considered the gold standard for clinical trials.