Monitoring Practices Research Articles

Sources of variability in Luminex bead-based cytokine assays: Evidence from twelve years of multi-site proficiency testing

Bead array assays, such as those sold by Luminex, BD Biosciences, Sartorius, Abcam and other companies, are a well-established platform for multiplexed quantification of cytokines and other biomarkers in both clinical and discovery research environments. In 2011, the National Institute of Allergy and Infectious Diseases (NIAID)-funded External Quality Assurance Program Oversight Laboratory (EQAPOL) established a proficiency assessment program to monitor participating laboratories performing multiplex cytokine measurements using Luminex bead array technology. During every assessment cycle, each site was sent an assay kit, a protocol, and blinded samples of human sera spiked with recombinant cytokines. Site results were then evaluated for performance relative to peer laboratories. After over a decade of biannual assessments, the cumulative dataset contained over 15,500 bead array observations collected at more than forty laboratories in twelve countries. These data were evaluated alongside post-assessment survey results to empirically test factors that may contribute to variability and accuracy in Luminex bead-based cytokine assays. Bead material, individual technical ability, analyte, analyte concentration, and assay kit vendor were identified as significant contributors to assay performance. In contrast, the bead reader instrument model and the use of automated plate washers were found not to contribute to variability or accuracy, and sample results were found to be highly-consistent between assay kit-manufacturing lots and over time. In addition to these statistical analyses, subjective evaluations identified technical ability, instrument failure, protocol adherence, and data transcription errors as the most common causes of poor performance in the proficiency program. The findings from the EQAPOL multiplex program were then used to develop recommended best practices for bead array monitoring of human cytokines. These included collecting samples to assay as a single batch, centralizing analysis, participating in a quality assurance program, and testing samples using paramagnetic-bead kits from a single manufacturer using a standardized protocol.

JAAD Game Changers: The clinical utility of laboratory monitoring during isotretinoin therapy for acne and changes to monitoring practices over time

JAAD Game Changers: The clinical utility of laboratory monitoring during isotretinoin therapy for acne and changes to monitoring practices over time

Farm-specific estimates of forage variability result in larger optimal control limits for forage quality monitoring

Variation in forage composition decreases the accuracy of diets delivered to dairy cows. However, variability of forages can be managed using a renewal reward model (RRM) and genetic algorithm (GA) to optimize sampling and monitoring practices for farm conditions. Specifically, use of quality-control-charts to monitor forage composition can identify changes in composition for which adjustment in the formulated diet will result in a better match of the nutrients delivered to cows. The objectives of this study were 1) assess the use of a clustering algorithm to estimate the mean time the process is stable or in-control (d) (TStable) and the magnitude of the change in forage composition between stable periods (ΔForage) for corn silage and alfalfa-grass silage which are input parameters for the RRM; 2) compare optimized farm-specific sampling practices (number of samples (n), sampling interval (TSample) and control limits (ΔLimit) using previously proposed defaults and our estimates for the TStable and ΔForage input parameters; and 3) conduct a simulation study to compare the number of recommended diet changes costs of quality control under the proposed sampling and monitoring protocols. We estimated the TStable and ΔForage parameters for corn silage NDF and starch and alfalfa-grass silage NDF and CP using a k-means clustering approach applied to forage samples collected from 8 farms, 3x/week during a 16-week period. We compared 4 sampling and monitoring protocols that resulted from the 2 methods for estimating TStable and ΔForage (default values and our proposed method) and either optimizing only the control limit (Optim1) or optimizing the control limits, the number of samples, and the number of days between sampling (Optim2). We simulated the outcomes of implementing the optimized monitoring protocols using a quality control chart for corn silage and alfalfa-grass silage of each farm. Estimates of T^Stable and Δ^Forage from the k-means clustering analysis were, respectively, shorter and larger than previously proposed default values. In the simulated quality control monitoring, larger Δ^Forage estimates increased the optimized ΔLimit resulting in fewer detected shifts in composition of forages and a lower frequency of false alarms and a lower quality control cost ($/d). Recommended diet reformulation intervals from the simulated quality control analysis were specific for the type of forage and farm management practices. The median of the diet reformulation intervals for all farms using our optimal protocols was 14 d (Q1 = 8, Q3 = 26) for corn silage and 16 d (Q1 = 8, Q3 = 26) for alfalfa-grass silage.

Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors

To ensure the structural integrity of concrete and prevent unanticipated fracturing, real-time monitoring of early-age concrete's strength development is essential, mainly through advanced techniques such as nano-enhanced sensors. The piezoelectric-based electro-mechanical impedance (EMI) method with nano-enhanced sensors is emerging as a practical solution for such monitoring requirements. This study presents a strength estimation method based on Non-Destructive Testing (NDT) Techniques and Long Short-Term Memory (LSTM) and artificial neural networks (ANNs) as hybrid (NDT-LSTMs-ANN), including several types of concrete strength-related agents. Input data includes water-to-cement rate, temperature, curing time, and maturity based on interior temperature, allowing experimentally monitoring the development of concrete strength from the early steps of hydration and casting to the last stages of hardening 28 days after the casting. The study investigated the impact of various factors on concrete strength development, utilizing a cutting-edge approach that combines traditional models with nano-enhanced piezoelectric sensors and NDT—LSTMs-ANN enhanced with nanotechnology. The results demonstrate that the hybrid provides highly accurate concrete strength estimation for construction safety and efficiency. Adopting the piezoelectric-based EMI technique with these advanced sensors offers a viable and effective monitoring solution, presenting a significant leap forward for the construction industry's structural health monitoring practices.

Assessing soil pollution concerns in proximity to Fence-type solar photovoltaic system installations

This study conducted in the Kyungpook National University Eco-friendly Agriculture Research Centre between 2022 and 2023 investigates the environmental implications of fence-type solar photovoltaic (PV) systems in diverse agricultural settings. Despite the increasing adoption of solar energy for climate change mitigation, there is a noticeable gap in research regarding the potential environmental impact of these specific PV systems. Focusing on heavy metal concentrations, including Cadmium (Cd), Copper (Cu), Arsenic (As), Mercury (Hg), Lead (Pb), Hexavalent Chromium (Cr+6), Zinc (Zn), and Nickel (Ni), across distinct fields, the study reveals significant fluctuations. Notably, the Rice Field experienced a substantial increase in Cd levels from 0.47 mg/kg in 2022 to 1.55 mg/kg in 2023, while Cu and Pb concentrations decreased to acceptable levels in 2023. The findings underscore the dynamic nature of heavy metal concentrations, emphasizing the importance of continuous soil quality monitoring to prevent contamination. This research provides valuable insights into the impact of fence-type solar PV system installations on agricultural soil quality, emphasizing the urgent need to secure these ecosystems through vigilant monitoring and environmental management practices.

A Comprehensive Perspective on Intracranial Pressure Monitoring and Individualized Management in Neurocritical Care: Results of a Survey with Global Experts.

Numerous trials have addressed intracranial pressure (ICP) management in neurocritical care. However, identifying its harmful thresholds and controlling ICP remain challenging in terms of improving outcomes. Evidence suggests that an individualized approach is necessary for establishing tolerance limits for ICP, incorporating factors such as ICP waveform (ICPW) or pulse morphology along with additional data provided by other invasive (e.g., brain oximetry) and noninvasive monitoring (NIM) methods (e.g., transcranial Doppler, optic nerve sheath diameter ultrasound, and pupillometry). This study aims to assess current ICP monitoring practices among experienced clinicians and explore whether guidelines should incorporate ancillary parameters from NIM and ICPW in future updates. We conducted a survey among experienced professionals involved in researching and managing patients with severe injury across low-middle-income countries (LMICs) and high-income countries (HICs). We sought their insights on ICP monitoring, particularly focusing on the impact of NIM and ICPW in various clinical scenarios. From October to December 2023, 109 professionals from the Americas and Europe participated in the survey, evenly distributed between LMIC and HIC. When ICP ranged from 22 to 25 mm Hg, 62.3% of respondents were open to considering additional information, such as ICPW and other monitoring techniques, before adjusting therapy intensity levels. Moreover, 77% of respondents were inclined to reassess patients with ICP in the 18-22mm Hg range, potentially escalating therapy intensity levels with the support of ICPW and NIM. Differences emerged between LMIC and HIC participants, with more LMIC respondents preferring arterial blood pressure transducer leveling at the heart and endorsing the use of NIM techniques and ICPW as ancillary information. Experienced clinicians tend to personalize ICP management, emphasizing the importance of considering various monitoring techniques. ICPW and noninvasive techniques, particularly in LMIC settings, warrant further exploration and could potentially enhance individualized patient care. The study suggests updating guidelines to include these additional components for a more personalized approach to ICP management.

Telemedicine for patients with cardiac implants : Insights into everyday practice of remote monitoring in Germany in 2022

As telemedical structures continues to be developed in the German healthcare system, remote monitoring is becoming increasingly important to ensure comprehensive, outpatient, and tailored care. The national quality assurance measure "DOQUVIDE-Documentation of quality in the assessment of vital parameters by implanted devices" is used to provide insight into everyday care for patients with telemedicine-enabled devices in Germany. DOQUVIDE is ameasuring instrument for recording outpatient remote monitoring for patients with implanted pacemaker, implantable cardioverter defibrillator (ICD), cardiac resynchronization therapy with a pacemaker (CRT-P), CRT defibrillator (CRT-D) devices and event recorder. DOQUVIDE records telemedically measured vital signs as well as cardiac events and the associated procedures initiated by cardiologists using standardized forms. In 74practices/clinics in 14federal states, 6687 patients received telemedical care in 2022; 937 were newly enrolled. These (60% male) were on average 77.8 years old, mainly with New York Heart Association (NYHA) classII (62.6%). A total of 5801 electronic records were generated as aresult of telecardiology events, of which 3590 were due to pathological atrial fibrillation and 1812 due to ventricular high-frequency episodes. 295 events were triggered by event recorders and 95 by device therapies. The main measures taken were telephone contacts or outpatient visits. Remote monitoring has become areality in German healthcare. Standardized processes and the establishment of quality assurance measures enable the definition of common quality standards and the identification of the potential for further development and simplify implementation in day-to-day care for practices.

Impact of institutional quality improvement initiatives on metabolic monitoring in mental disorder in patients treated with antipsychotics: A meta-analysis of intervention studies.

Compliance with guidelines regarding monitoring of metabolic adverse effects induced by antipsychotics has been consistently low. We characterised and evaluated the quality of institutional quality improvement (QI) interventions designed to address disparities between guidelines and real-world practices. Furthermore, we assessed the impact of these interventions on the screening and management of metabolic risks for inpatients receiving treatment with antipsychotic medications. We conducted a meta-analysis of institutional QI intervention studies aimed at improving antipsychotic-associated metabolic risk monitoring in hospitalised mental disease patients. Relevant studies were identified through searches conducted in the Embase and PubMed databases, as well as by reviewing previous reviews and meta-analyses. Quantitative analyses were performed, calculating odds ratios (ORs) and 95% confidence intervals (CIs) to assess the impact of QI programmes on guideline adherence in clinical practice. We identified 12 intervention studies (n = 10 128 and n = 2667 patients in the pre-and post-intervention groups, respectively) and included them in our meta-analysis. QI interventions demonstrated effectiveness in bridging the guideline-practice gap in monitoring antipsychotic-induced metabolic adverse effects, as supported by the ORs and 95% CIs for post-intervention monitoring of plasma glucose, lipids, and blood pressure (BP) vs the pre-intervention period being OR = 6.90 (95% CI = 1.51-31.48), OR = 5.39 (95% CI = 4.01-7.24), and OR = 4.81 (95% CI = 1.23-18.79), respectively. Only 33.3% (4/12) of studies reported screening rates for all four metabolic parameters (plasma glucose, lipids, weight/body mass index (BMI), and BP). The median rates for metabolic screening of plasma glucose, lipids, and BP increased from 51.0-80.0%, 28.7-66.7%, and 91.7-95.8%, respectively. Up to 66.7% (8/12) of intervention studies lacked follow-up measures to treat or manage identified risks in hospitalised psychiatric patients, such as patient referrals, prescription of medications, and switching of antipsychotics. The odds of monitoring weight/BMI and glucose were greatest when QI programmes involved the participation of multidisciplinary health care professionals and patients, yielding OR = 3.35 (95% CI = 2.45-4.59) and OR = 57.51 (95% CI = 24.11-137.21), respectively. Institutional QI interventions were effective in enhancing monitoring practices in alignment with established guidelines for metabolic risk screening among hospitalised patients with mental disorders maintained on antipsychotic medications. Future institutional QI programmes should incorporate multidisciplinary strategies involving patient engagement and extend their focus beyond screening to incorporate follow-up risk management strategies once risks have been identified. PROSPERO CRD42023452138.

Association of Knowledge and Practice of Home Blood Pressure Monitoring (HBPM) Among Second-Year Medical Students

Objective: Hypertension is a global public health challenge, often exhibiting suboptimal management resulting in numerous health complications. Home blood pressure monitoring (HBPM) is a valuable tool for aiding healthcare providers in the diagnosis and treatment of hypertension in patients. Approximately 15% of individuals with hypertension fall within the young adult demographic, ranging from 18 to 39 years old. The early onset of hypertension exposes them to a heightened risk of cardiovascular events occurring prematurely. Consequently, the objective of this research is to assess the association of knowledge of HBPM with practice among medical students. Methods: This was part of a larger study entitled: “Effect of Video Intervention on Knowledge of Proper Home Blood Pressure Monitoring Among Second Year Medical Students, UPM”. It was a cross sectional study done among all second-year medical students in the Universiti Putra Malaysia from April 2022 to 2023 (JKEUPM-2022-143). The students were given online questionnaires on HBPM. The questionnaire underwent content validation by a panel of experts. It consisted of 20 questions on knowledge, with one point for each correct answer. A higher score indicates better knowledge. There were two questions on practice which asked if they did HBPM on themselves or their family members/friends. Results: We report (n=21, 24.1%) of participants do their blood pressure at home, while (n=45,51.7%) do BP monitoring at home to their family members/friends. The mean (+sd) knowledge scores out of a possible 20 for these groups are 10.81 (+ 3.0) and 11.29 (+2.5) respectively. Those who assisted family members/friends with their BP at home had significantly more knowledge scores that those who didn’t (mean difference= 2.7, p=0.000). No significant associations with the group with self BP monitoring. Conclusion: Therefore, we conclude that those who assist others in HBPM have significantly higher knowledge scores compared to those who did not.International Journal of Human and Health Sciences Supplementary Issue 01: 2024 Page: S50

MULTI-BLOCK: A novel ML-based intrusion detection framework for SDN-enabled IoT networks using new pyramidal structure

The ever-expanding Internet of Things (IoT) landscape faces significant security challenges due to limitations in traffic monitoring, device heterogeneity, and weak security practices, leaving networks vulnerable to multi-target and coordinated attacks like large-scale botnets and Distributed Denial-of-Service (DDoS). Existing intrusion detection systems can be computationally expensive and resource-intensive. This can be problematic for resource-constrained IoT devices with limited processing power, memory, and battery life. This paper proposes MULTI-BLOCK, a novel, multi-module framework that leverages machine learning, stateful P4 processing, and a Software-Defined Networking (SDN)-based multi-controller architecture. MULTI-BLOCK tackles critical management tasks within IoT networks, including synchronized communication, traffic monitoring, intrusion detection, and attack mitigation. This comprehensive framework comprises four modules. The first, the proposed pyramidal conceptually decentralized multi-controller structure (PCDMCS), introduces Decentralized Control Interfaces (DCIs) for real-time threat identification through a Decentralized Warning Conduit (DWC). The second module provides comprehensive network monitoring using P4-enabled 24-state tables. The third module leverages 30 new P4-extracted/calculated features and the Enhanced Weighted Ensemble Algorithm (EWEA) for enhanced anomaly detection. The final module presents a novel mitigation approach with 22 steps distributed across multiple controllers for scalability. Extensive evaluation using established IoT datasets (X-IIoTID, TON_IoT, and Edge-IIoTset) and diverse test scenarios (including single-victim and multi-victim attacks) demonstrates MULTI-BLOCK's exceptional performance, achieving high accuracy (99.75 %), precision (99.32 %), F1-score (99.53 %), recall (99.67 %), specificity (99.60 %), low false positive rates (FPR) (0.40 %), and low Average Detection Time (ADT) (2.11 ms). By offering a robust and adaptable solution against evolving threats, MULTI-BLOCK represents a significant advancement in IoT network security.

Blended Teaching Approach in the Eyes of Filipino Teachers: A Phenomenological Study

This research aims to describe the experiences of Filipino teachers in implementing blended teaching methods. Employing a qualitative phenomenological research design with purposive sampling, the study was conducted in private schools in Panabo City. Eight participants each were engaged in in-depth interviews (IDIs) and focus group discussion (FGDs), focusing specifically on teaching the Filipino subject. Through these interviews, the study aimed to uncover themes related to the teachers’ experiences, challenges, and perspectives on blended learning. The findings revealed three main themes. Firstly, Filipino teachers encountered various challenges in blended teaching, including concerns about content knowledge and preparation, connectivity issues, technological difficulties, and challenges in monitoring and mentoring students. Secondly, the study identified coping mechanisms employed by Filipino teachers during the pandemic, such as peer sharing and consultation, resourcefulness and innovation in teaching, and enhanced monitoring of student performance. Lastly, the research highlighted the implications of blended teaching during the pandemic, including the development of independent learning among students, strengthened student monitoring and teaching practices, and the recognition of unguaranteed learning outcomes. Blended teaching, integrating traditional face-to-face methods with technology and distance learning, is increasingly becoming integral to the current education system.

Athlete monitoring perspectives of sports coaches and support staff: A scoping review

Objectives To map and summarise the sports coaches’ and support staff's perspectives on athlete monitoring to explore the breadth of literature, identify knowledge gaps and inform future research. Design Scoping review based on the Joanna Briggs Institute (JBI) methodology. Methods SPORTDiscus, MEDLINE, APA PsycInfo, and Embase databases were searched in English until 6 September 2022. The inclusion criteria were (1) coach(es) and/or support staff were explicitly questioned about their knowledge, perceptions, understanding, opinions, and/or applied practice of athlete monitoring; (2) results could be directly attributed to coach(es) and/or support staff; (3) primary research projects that are available as full-text. Exclusion criteria were applied for grey literature. The data were extracted into a custom-made data charting spreadsheet. Results From the 4381 identified records, 42 met the eligibility criteria. Almost all the studies were conducted within the Anglosphere and at the national or international level. The main reasons for coaches and support staff to implement athlete monitoring were to reduce injury and illness, inform the training program, and improve or maintain performance. While training load monitoring is generally seen as valuable the coaches and support staff acknowledged that there was no perfect scientific approach to monitoring athletes and believed it should be part of the bigger picture, emphasising communication. Conclusions There has been a recent surge in research demonstrating that athlete monitoring extends beyond quantitative information and encompasses non-quantified subjective information. This further substantiates that coaches and support staff will remain central to athlete monitoring, even amidst the anticipated technological progress.

Effect of Monitoring and Evaluation Practices and Urban Water Sustainability Project in Rwanda: A Case of WASAC Project in Kigali City

In Rwanda, projects failure is caused by lack of Monitoring and Evaluation staff trainings, technical expertise, design/approach, low level stakeholder involvement, lack of proper planning, lack of supportive supervision, insufficient financial management and poor leadership on feasibility and sustainability project. The general objective of the study is to assess monitoring and evaluation practices and urban water sustainability project in Rwanda. A case of WASAC project in Kigali city and the specific objectives of the study were to assess the influence of project monitoring and evaluation planning on urban water sustainability project in Rwanda, to assess the influence of monitoring and evaluation stakeholders involvement on urban water sustainability project in Rwanda and to determine the effect of monitoring and evaluation trainings on urban water sustainability project in Rwanda. The study was based on two theories such as theory of change and theory of constraints. In this study, a descriptive research design was used and the targeted population includes project management team, project monitoring and evaluation officials, project analysts and engineers. In total they were184 from whom a sample size of 126 was selected as representative of total population. Therefore, a simple sampling technique will be used and data will be collected using questionnaire, interview and documentation. The analysis of data will be done through SPSS version 21. The study findings showed that stakeholders’ involvement is essential in achieving urban water sustainability in the way that M&E planning contribution is at the mean of 3.908 and standard deviation of 0.755, stakeholders involvement contributed to urban water sustainability at the mean of 3.275 and standard deviation of 0.642 while M&E trainings has contributed to urban water sustainability at the mean of4.505 and standard deviation of 0.720 The study found that there are continuous M&E trainings and development of the project staff to acquire skills to implement the project. The study recommended that effective project planning need to be put in place by the project team and managers. Project team should ensure their monitoring and evaluation control plan align with M&E plan. The study recommends a sound stakeholders’ involvement at each phase of the project from initial phase to execution. Keywords: Monitoring and Evaluation, Urban Water Sustainability, WASAC, Project Management, Kigali City Infrastructure

The Public Prosecutor’s Office’s experience using Global Forest Watch to monitor and deter deforestation in the Cerrado

Summary The Cerrado biome is a global biodiversity hotspot, and more than half of its area has been devastated in recent decades. Nevertheless, environmental enforcement agencies have a low capacity for monitoring and curbing illegal deforestation and fires. In this context, the local unit of the Public Prosecutor’s Office in Itiquira, Mato Grosso, has been experimenting since mid-2018 with the Global Forest Watch platform to detect illegal deforestation at its onset and notify landowners by electronic means (WhatsApp, email, etc.). With this remote inspection there has been a significant increase in the number of infraction notices, criminal actions, agreements for civil reparation of damage and public civil suits. By seeking to identify illegal deforestation in progress (in flagrant situations), the Public Prosecutor’s Office has prevented such events from turning into major deforestation. Preliminary data indicate that the practice of monitoring and notifications by the Public Prosecutor’s Office and environmental control agencies has increased law enforcement on deforestation and fires in that municipality and halted infractions at their inception. The challenge now is to determine the extent to which this method can be replicated in broader territories and other biomes such as Amazonia and Pantanal.

Embryology of the fat-tailed dunnart (Sminthopsis crassicaudata): A marsupial model for comparative mammalian developmental and evolutionary biology.

Marsupials are a diverse and unique group of mammals, but remain underutilized in developmental biology studies, hindering our understanding of mammalian diversity. This study focuses on establishing the fat-tailed dunnart (Sminthopsis crassicaudata) as an emerging laboratory model, providing reproductive monitoring methods and a detailed atlas of its embryonic development. We monitored the reproductive cycles of female dunnarts and established methods to confirm pregnancy and generate timed embryos. With this, we characterized dunnart embryo development from cleavage to birth, and provided detailed descriptions of its organogenesis and heterochronic growth patterns. Drawing stage-matched comparisons with other species, we highlight the dunnarts accelerated craniofacial and limb development, characteristic of marsupials. The fat-tailed dunnart is an exceptional marsupial model for developmental studies, where our detailed practices for reproductive monitoring and embryo collection enhance its accessibility in other laboratories. The accelerated developmental patterns observed in the Dunnart provide a valuable system for investigating molecular mechanisms underlying heterochrony. This study not only contributes to our understanding of marsupial development but also equips the scientific community with new resources for addressing biodiversity challenges and developing effective conservation strategies in marsupials.

Enhancing dietary adherence among African-American adolescents: the role of parenting styles and food-related practices.

Parenting styles (PSs) and food-related parenting practices (FPPs) play a crucial role in shaping adolescent eating behavior. This study aimed to investigate the relationship between the different PSs and FPPs of African-American families and the frequency of consumption of MyPlate food items by adolescents based on recommendations from the Dietary Guidelines for Americans (DGA). This study used a cross-sectional design. Data collection was conducted using Qualtrics through an online survey of 211 African-American parents and their adolescents aged 10-17-year-old. Adolescents completed the Youth and Adolescent Food Frequency Questionnaire to assess their dietary behavior, while parents filled out the survey to identify the degree of PSs (i.e., authoritative, authoritarian, setting rules, and neglecting) and FPPs (i.e., monitoring, reasoning, copying, and modeling). Spearman's rank correlation coefficient, Wilcoxon rank-sum test, and stepwise logistic regression were performed to determine the answers to the research questions. For fruit consumption, authoritative parenting significantly reduced the likelihood of adherence to DGA, while authoritarian, monitoring, and reasoning practices increased it. Female adolescents were more likely to meet fruit intake recommendations, with a similar positive impact observed for those whose parents had above high school education. In vegetable intake, authoritarian and monitoring practices positively impact on adherence to DGA, whereas setting rules had a detrimental impact. Being in a married household also increased vegetable intake DGA adherence. For grain consumption, reasoning was a significant positive predictor, while setting rules negatively impacted adherence. Dairy DGA adherence was positively impacted by monitoring and copying practices, but negatively impacted by female gender. Protein intake showed a positive association with reasoning and parental education. Our findings confirm the importance of parenting in developing desired eating behaviors among African-American adolescents. The results of this study can be used to develop culture-based nutritional education programs for parents and youth.

Marine Infrastructure Detection with Satellite Data—A Review

A rapid development of marine infrastructures can be observed along the global coasts. Offshore wind farms, oil and gas platforms, artificial islands, aquaculture, and more, are being constructed without a proper quantification of these human activities. Therefore, effective monitoring is required to maintain transparency towards environmental standards, marine resource management, inventorying objects, and global security. This study reviews remote sensing-based approaches to offshore infrastructure detection over the past 12 years. We analyzed 89 studies from over 30 scientific journals, highlighting spatial and temporal trends, methodological approaches, and regional and thematic research foci. Our results show a significant increase in research interest, especially since 2019. Asia, and especially China, is the predominant focus region in terms of first authorship, funding, and areas of investigation. Aquaculture is the most studied infrastructure, followed by platforms, offshore wind farms, and artificial islands. Gaofen, Sentinel, and Landsat are the most used satellite sensors for detection. The apparent shift towards automated detection methods, especially Deep Learning algorithms, reflects advances in computer vision. This study highlights the key role of earth observation in the field of off-shore infrastructure detection, which can contribute towards outlining effective monitoring practices for marine activities, as well as highlighting important knowledge gaps.

Enhancing online learning environments through real-time social presence dashboards

Online learning is promoted to play a pivotal role in the future of education, necessitating a focus on student engagement and interactivity as essential components for successful online educational environments. Social presence, as a construct capturing these social aspects, is extensively recognized, and investigated within the realm of education and widely shaping the online learning experience. However, a crucial gap remains in the absence of a real-time measurement of social presence.Drawing from prior research, this study identifies indicators derived from social network analysis as promising metrics for assessing social presence in online learning environments. What remains unclear is the means to effectively convey this information to instructors, enabling them to enhance the educational online experience. To address this gap, we conducted focus groups involving seven experts in online education and pedagogical expertise.Our findings reveal that the development of a social presence dashboard holds immense potential for enriching the online teaching experiences through the utilization of these identified indicators. Furthermore, incorporating additional visualizations and graphical representations with such dashboards can equip online instructors with the necessary insights to foster social interactions and capture real-time social dynamics within online courses.However, the implementation of such dashboards necessitates a careful consideration of important ethical and practical considerations, including informed consent procedures, student monitoring practices, and adherence to ethical standards. This research contributes valuable insights into the ongoing discourse on improving online education by leveraging technology to enhance social presence and pedagogical effectiveness.

The Cathay Pacific Incident under Public Opinion Monitoring: A Case Study of Discrimination against Mainland Passengers and Public Opinion Leadership

This thesis analyzes the Cathay Pacific Airways incident in depth, and reveals the important role of public opinion monitoring in corporate crisis management in the new media era through a detailed analysis of the background of the incident, the mechanism of public opinion monitoring, and the response of the enterprise, with a view to providing theoretical guidance and inspiration for the practice of public opinion monitoring in the future through an in-depth analysis of the case. Through the revelation and reflection of the incident, the thesis emphasizes the positive impact of public opinion monitoring on corporate information transparency, public relations team building and staff training. The Cathay Pacific incident provides valuable experience for enterprises, emphasizing the importance of strengthening interaction with the public, responding quickly, and building a professional team in crisis management. In the era of new media, the power of public opinion monitoring cannot be ignored. Enterprises need to treat the public opinion environment with prudence and continuously improve their crisis management level in order to ensure sound public relations and sustainable development of the enterprise.

The role of healthcare providers and caregivers in monitoring critically ill children: a qualitative study in a tertiary hospital, southern Malawi

BackgroundCritically ill children require close monitoring to facilitate timely interventions throughout their hospitalisation. In low- and middle-income countries with a high disease burden, scarce paediatric critical care resources complicates effective monitoring. This study describes the monitoring practices for critically ill children in a paediatric high-dependency unit (HDU) in Malawi and examines factors affecting this vital process.MethodsA formative qualitative study based on 21 in-depth interviews of healthcare providers (n = 12) and caregivers of critically ill children (n = 9) in the HDU along with structured observations of the monitoring process. Interviews were transcribed and translated for thematic content analysis.ResultsThe monitoring of critically ill children admitted to the HDU was intermittent, using devices and through clinical observations. Healthcare providers prioritised the most critically ill children for more frequent monitoring. The ward layout, power outages, lack of human resources and limited familiarity with available monitoring devices, affected monitoring. Caregivers, who were present throughout admission, were involved informally in monitoring and flagging possible deterioration of their child to the healthcare staff.ConclusionBarriers to the monitoring of critically ill children in the HDU were related to ward layout and infrastructure, availability of accurate monitoring devices and limited human resources. Potential interventions include training healthcare providers to prioritise the most critically ill children, allocate and effectively employ available devices, and supporting caregivers to play a more formal role in escalation.