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Sensors (Basel, Switzerland) Jun 2024The transition to fully autonomous roadways will include a long period of mixed-autonomy traffic. Mixed-autonomy roadways pose a challenge for autonomous vehicles (AVs)...
The transition to fully autonomous roadways will include a long period of mixed-autonomy traffic. Mixed-autonomy roadways pose a challenge for autonomous vehicles (AVs) which use conservative driving behaviours to safely negotiate complex scenarios. This can lead to congestion and collisions with human drivers who are accustomed to more confident driving styles. In this work, an explainable multi-variate time series classifier, Time Series Forest (TSF), is compared to two state-of-the-art models in a priority-taking classification task. Responses to left-turning hazards at signalized and stop-sign-controlled intersections were collected using a full-vehicle driving simulator. The dataset was comprised of a combination of AV sensor-collected and V2V (vehicle-to-vehicle) transmitted features. Each scenario forced participants to either take ("go") or yield ("no go") priority at the intersection. TSF performed comparably for both the signalized and sign-controlled datasets, although all classifiers performed better on the signalized dataset. The inclusion of V2V data led to a slight increase in accuracy for all models and a substantial increase in the true positive rate of the stop-sign-controlled models. Additionally, incorporating the V2V data resulted in fewer chosen features, thereby decreasing the model complexity while maintaining accuracy. Including the selected features in an AV planning model is hypothesized to reduce the need for conservative AV driving behaviour without increasing the risk of collision.
PubMed: 38931644
DOI: 10.3390/s24123859 -
Sensors (Basel, Switzerland) Jun 2024Cloudy conditions at a local scale pose a significant challenge for forecasting renewable energy generation through photovoltaic panels. Consequently, having real-time...
Cloudy conditions at a local scale pose a significant challenge for forecasting renewable energy generation through photovoltaic panels. Consequently, having real-time knowledge of sky conditions becomes highly valuable. This information could inform decision-making processes in system operations, such as determining whether conditions are favorable for activating a standalone system requiring a minimum level of radiation or whether sky conditions might lead to higher energy consumption than generation during adverse cloudy conditions. This research leveraged convolutional neural networks (CNNs) and transfer learning (TL) classification techniques, testing various architectures from the family and two models for classifying sky images. Cross-validation methods were applied across different experiments, where the most favorable outcome was achieved with the and models boasting a mean of 98.09%. This study underscores the efficacy of the architectures employed for sky image classification, while also highlighting the models yielding the best results.
PubMed: 38931511
DOI: 10.3390/s24123726 -
Sensors (Basel, Switzerland) Jun 2024Cybersecurity has become a major concern in the modern world due to our heavy reliance on cyber systems. Advanced automated systems utilize many sensors for intelligent...
Cybersecurity has become a major concern in the modern world due to our heavy reliance on cyber systems. Advanced automated systems utilize many sensors for intelligent decision-making, and any malicious activity of these sensors could potentially lead to a system-wide collapse. To ensure safety and security, it is essential to have a reliable system that can automatically detect and prevent any malicious activity, and modern detection systems are created based on machine learning (ML) models. Most often, the dataset generated from the sensor node for detecting malicious activity is highly imbalanced because the Malicious class is significantly fewer than the Non-Malicious class. To address these issues, we proposed a hybrid data balancing technique in combination with a Cluster-based Under Sampling and Synthetic Minority Oversampling Technique (SMOTE). We have also proposed an ensemble machine learning model that outperforms other standard ML models, achieving 99.7% accuracy. Additionally, we have identified the critical features that pose security risks to the sensor nodes with extensive explainability analysis of our proposed machine learning model. In brief, we have explored a hybrid data balancing method, developed a robust ensemble machine learning model for detecting malicious sensor nodes, and conducted a thorough analysis of the model's explainability.
PubMed: 38931500
DOI: 10.3390/s24123712 -
Nutrients Jun 2024This study investigated the complex interaction between individuals' culinary tastes, at-home dining habits, and their broader impact on general well-being and...
This study investigated the complex interaction between individuals' culinary tastes, at-home dining habits, and their broader impact on general well-being and relationships dynamics. An all-encompassing tool for assessing the impact of dietary choices on emotions related to coziness, social interaction, and general wellness, the multidimensional Culinary Comfort and Connection Index (CCCI) focuses on traditional home-cooked meals, in particular. We used an online-based survey to validate the CCCI. With a Cronbach alpha of 0.844, this scale is reliable and valid. It covers a wide range of aspects including self-care advocacy, traditional values, and a preference for handmade food. We performed descriptive and stratified analyses and tested correlations. The CCCI shows complicated patterns when analyzed with respect to gender, education level, and family income that demonstrate a myriad of factors impacting people's views on food and its relationship to health. While some patterns emerged, the results imply that dietary choices do not necessarily correlate with overall health. The research highlights the complex interaction between cultural, societal, and personal elements in determining perspectives on nutrition and health by drawing on theoretical models like Bronfenbrenner's ecological systems theory and the Theory of Planned Behavior. Future research should incorporate broader age ranges, longitudinal designs, different populations, objective measurements, and intervention trials to better understand the dynamic link between dietary preferences and health outcomes.
Topics: Humans; Female; Male; Adult; Food Preferences; Middle Aged; Cooking; Feeding Behavior; Young Adult; Aged; Surveys and Questionnaires; Adolescent; Diet; Choice Behavior; Meals; Taste; Diet, Healthy
PubMed: 38931220
DOI: 10.3390/nu16121865 -
Molecules (Basel, Switzerland) Jun 2024Cannabis-based products have gained attention in recent years for their perceived therapeutic benefits (with cannabinoids such as THC and CBD) and widespread...
Cannabis-based products have gained attention in recent years for their perceived therapeutic benefits (with cannabinoids such as THC and CBD) and widespread availability. However, these products often lack accurate labelling regarding their cannabinoid content. Our study, conducted with products available in Portugal, revealed significant discrepancies between label claims and actual cannabinoid compositions. A fully validated method was developed for the characterisation of different products acquired from pharmacies and street shops (beverages, herbal samples, oils, and cosmetic products) using high-performance liquid chromatography coupled with a diode array detector. Linearity ranged from 0.4 to 100 µg/mL (0.04-10 µg/mg) (THC, 8-THC, CBD, CBG, CBDA, CBGA), 0.1-100 µg/mL (0.01-10 µg/mg) (CBN), 0.4-250 µg/mL (0.04-25 µg/mg) (THCA-A), and 0.8-100 µg/mL (0.08-10 µg/mg) (CBCA). Among sampled beverages, none contained detectable cannabinoids, despite suggestive packaging. Similarly, oils often differed from the declared cannabinoid compositions, with some containing significantly higher CBD concentrations than labelled. These inconsistencies raise serious concerns regarding consumer safety and informed decision-making. Moreover, our findings underscore the need for stringent regulation and standardised testing protocols to ensure the accuracy and safety of cannabis-based products.
Topics: Portugal; Cannabinoids; Cannabis; Chromatography, High Pressure Liquid; Humans; Cosmetics; Beverages; Medical Marijuana
PubMed: 38930803
DOI: 10.3390/molecules29122737 -
Journal of Clinical Medicine Jun 2024In vitro fertilization (IVF) has the potential to give babies to millions more people globally, yet it continues to be underutilized. We established a globally...
In vitro fertilization (IVF) has the potential to give babies to millions more people globally, yet it continues to be underutilized. We established a globally applicable and locally adaptable IVF prognostics report and framework to support patient-provider counseling and enable validated, data-driven treatment decisions. This study investigates the IVF utilization rates associated with the usage of machine learning, center-specific (MLCS) prognostic reports (the Univfy report) in provider-patient pre-treatment and IVF counseling. We used a retrospective cohort comprising 24,238 patients with new patient visits (NPV) from 2016 to 2022 across seven fertility centers in 17 locations in seven US states and Ontario, Canada. We tested the association of Univfy report usage and first intra-uterine insemination (IUI) and/or first IVF usage (a.k.a. conversion) within 180 days, 360 days, and "Ever" of NPV as primary outcomes. Univfy report usage was associated with higher direct IVF conversion (without prior IUI), with odds ratios (OR) 3.13 (95% CI 2.83, 3.46), 2.89 (95% CI 2.63, 3.17), and 2.04 (95% CI 1.90, 2.20) and total IVF conversion (with or without prior IUI), OR 3.41 (95% CI 3.09, 3.75), 3.81 (95% CI 3.49, 4.16), and 2.78 (95% CI 2.59, 2.98) in 180-day, 360-day, and Ever analyses, respectively; < 0.05. Among patients with Univfy report usage, after accounting for center as a factor, older age was a small yet independent predictor of IVF conversion. Usage of a patient-centric, MLCS-based prognostics report was associated with increased IVF conversion among new fertility patients. Further research to study factors influencing treatment decision making and real-world optimization of patient-centric workflows utilizing the MLCS reports is warranted.
PubMed: 38930089
DOI: 10.3390/jcm13123560 -
Journal of Clinical Medicine Jun 2024: The aim of the study was to find tools to assess patient characteristics that would help in choosing between orthotopic neobladder and ileal conduit in patients... (Review)
Review
Choosing between Orthotopic Neobladder and Ileal Conduit after Radical Cystectomy: Tools for Assessing Patient-Specific Characteristics and Enhancing the Decision-Making Process-A Review of Current Studies.
: The aim of the study was to find tools to assess patient characteristics that would help in choosing between orthotopic neobladder and ileal conduit in patients undergoing radical cystectomy. An additional goal was to search for aids that improve preoperative counseling to support patients in the decision-making process. : A systematic review of MEDLINE, Web of Science, and Scopus databases was conducted, according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement, in April 2024. Inclusion criteria were specified in PICO format. Two reviewers independently screened titles/abstracts and full papers. Upon study selection, the results and conclusions from the studies were abstracted and quantitatively summarized in the results section of this article. : Seven articles, involving a total 834 patients, were included. One article described frailty, two reviewed cognitive status, one article described functional dexterity, one described personality, two articles reviewed patients' values and goals, and one article reviewed role of patient-physician dialogue in the context of choosing UD after RC. The reviewed articles identified tools and approaches that could be valuable in evaluating the suitability for continent urinary diversion (CUD) or incontinent urinary diversion (ICUD). : This is the first systematic review that summarizes the new available methods of patient assessment which improve preoperative counseling and choosing the most suitable UD after RC. Efficient tools for this purpose are still missing, and further studies that will aid in creating a simple aid for patient selection are necessary.
PubMed: 38930035
DOI: 10.3390/jcm13123506 -
Journal of Clinical Medicine Jun 2024: Septic shock is a severe condition with high mortality necessitating precise prognostic tools for improved patient outcomes. This study aimed to evaluate the...
: Septic shock is a severe condition with high mortality necessitating precise prognostic tools for improved patient outcomes. This study aimed to evaluate the collective predictive value of the Simplified Acute Physiology Score 3 (SAPS-3) and lactate measurements (initial, peak, last, and clearance rates within the first 24 h) in patients with septic shock. Specifically, it sought to determine how these markers enhance predictive accuracy for 28-day mortality beyond SAPS-3 alone. : This retrospective cohort study analyzed data from 66 septic shock patients at two ICUs of Vienna General Hospital (2017-2019). SAPS-3 and lactate levels (initial, peak, last measurement within 24 h, and 24 h clearance) were obtained from electronic health records. Logistic regression models were constructed to identify predictors of 28-day mortality, and receiver operating characteristic (ROC) curves assessed predictive accuracy. : Among 66 patients, 36 (55%) died within 28 days. SAPS-3 scores significantly differed between survivors and non-survivors (76 vs. 85 points; = 0.016). First, last, and peak lactate were significantly higher in non-survivors compared to survivors (all < 0.001). The combination of SAPS-3 and first lactate produced the highest predictive accuracy (AUC = 80.6%). However, 24 h lactate clearance was not predictive of mortality. : Integrating SAPS-3 with lactate measurements, particularly first lactate, improves predictive accuracy for 28-day mortality in septic shock patients. First lactate serves as an early, robust prognostic marker, providing crucial information for clinical decision-making and care prioritization. Further large-scale studies are needed to refine these predictive tools and validate their efficacy in guiding treatment strategies.
PubMed: 38930034
DOI: 10.3390/jcm13123505 -
Journal of Clinical Medicine Jun 2024Rest and stress echocardiography (SE) play a fundamental role in the evaluation of aortic valve stenosis (AS). According to the current guidelines for the... (Review)
Review
Rest and stress echocardiography (SE) play a fundamental role in the evaluation of aortic valve stenosis (AS). According to the current guidelines for the echocardiographic evaluation of patients with aortic stenosis, four broad categories can be defined: high-gradient AS (mean gradient ≥ 40 mmHg, peak velocity ≥ 4 m/s, aortic valve area (AVA) ≤ 1 cm or indexed AVA ≤ 0.6 cm/m); low-flow, low-gradient AS with reduced ejection fraction (mean gradient < 40 mmHg, AVA ≤ 1 cm, left ventricle ejection fraction (LVEF) < 50%, stroke volume index (Svi) ≤ 35 mL/m); low-flow, low-gradient AS with preserved ejection fraction (mean gradient < 40 mmHg, AVA ≤ 1 cm, LVEF ≥ 50%, SVi ≤ 35 mL/m); and normal-flow, low-gradient AS with preserved ejection fraction (mean gradient < 40 mmHg, AVA ≤ 1 cm, indexed AVA ≤ 0.6 cm/m, LVEF ≥ 50%, SVi > 35 mL/m). Aortic valve replacement (AVR) is indicated with the onset of symptoms development or LVEF reduction. However, there is often mismatch between resting transthoracic echocardiography findings and patient's symptoms. In these discordant cases, SE and CT calcium scoring are among the indicated methods to guide the management decision making. Additionally, due to the increasing evidence that in asymptomatic severe aortic stenosis an early AVR instead of conservative treatment is associated with better outcomes, SE can help identify those that would benefit from an early AVR by revealing markers of poor prognosis. Low-flow, low-gradient AS represents a challenge both in diagnosis and in therapeutic management. Low-dose dobutamine SE is the recommended method to distinguish true-severe from pseudo-severe stenosis and assess the existence of flow (contractile) reserve to appropriately guide the need for intervention in these patients.
PubMed: 38930024
DOI: 10.3390/jcm13123495 -
Journal of Clinical Medicine Jun 2024: The improvement of oral-health-related quality of life (OHRQoL) with different types of prosthesis for completely edentulous jaws in the elderly population is a... (Review)
Review
: The improvement of oral-health-related quality of life (OHRQoL) with different types of prosthesis for completely edentulous jaws in the elderly population is a critical factor in clinical decision making for these vulnerable patients. This review aims to evaluate the changes in OHRQoL after treatment with different types of full-arch prostheses in the elderly edentulous population to determine the prostheses that result in the greatest improvement in OHRQoL. : Clinical studies of different types of full-arch prostheses that measured the OHRQoL in edentulous patients 60 years or older were searched for in the PubMed, Embase and Scopus electronic databases, with additional hand searching to summarize the outcomes of the selected studies. : Among the 302 identified studies, 10 studies were selected. A total of 504 patients wearing 133 complete dentures, 372 implant overdentures and 39 fixed prostheses were assessed among the selected studies. The overall OHIP and GOHAI scores were evaluated at baseline and in the 3rd, 6th, 12th and 18th months of treatment with the respective prostheses. The improved OHRQoL with overall OHIP scores associated with conventional dentures were 9.21-12.5% from the 3rd month to 1 year after treatment, whereas those associated with implant overdentures and full-arch fixed prosthesis were 9-25.26% at 1 year and 18.53-26.79 at the 18th-month follow-up, respectively. The increased overall GOHAI scores were 21.3-25.43% for conventional dentures, 36.82-41.32% for implant overdentures and 39.48-42.83% for full-arch fixed prosthesis from the 3rd month to the 6th-month follow-up. : In general, the improvement in OHRQoL after rehabilitation with implant overdentures declined at one year, and that with full-arch fixed prosthesis declined at the 18th-month follow-up; meanwhile, the OHRQoL associated with conventional dentures improved stably up to one year, but the implant-supported prostheses resulted in an obviously greater improvement in the OHRQoL than that obtained with conventional dentures. However, studies with longer follow-up periods are still required to evaluate the long-term clinical effectiveness.
PubMed: 38929921
DOI: 10.3390/jcm13123391