Abstract Heart failure (HF) is the leading cause of global death from chronic diseases. Data mining using machine learning (ML) converts massive volumes of raw data created by healthcare institutions into meaningful information that can aid in making predictions and crucial decisions. After an HF, collecting and analyzing follow-up data from patients is critical to monitor their health recovery. The aim of this study is to use ML and predict the survival possibility of patients after HF based on the follow-up data. Three supervised classifiers i.e., Random Forest (RF), XGBoost (XGB), and Decision Tree (DT) have been used in our study. Moreover, we proposed to design a supervised stacked ensemble learning model that can achieve a prediction accuracy, precision, recall, and F1 score of 99.98

Abstract Objective: Sleep problems are frequent and impairing in adolescents with ADHD. This randomized controlled trial investigates the effectiveness of a newly developed CBT sleep intervention for adolescents with ADHD – SIESTA. Method: Adolescents with ADHD and sleep problems (N = 92, Mage = 14.36, SD = 1.43, 47% males) were randomized to receive SIESTA next to treatment as usual targeting ADHD (SIESTA+TAU) or TAU only. Adolescent and parent ratings, actigraphy and sleep diaries, were collected at pre-, post-, and at 4 month follow-up test. A linear mixed effects model was used with an intent-to-treat approach. Results: Results indicated significant improvement in SIESTA+TAU compared to TAU from pre- to post-test on sleep hygiene (partial eta squared = .21), chronic sleep reduction (partial eta squared = .15), and sleep-wake problem behaviors (partial eta squared = .05). Actigraphy and sleep diaries showed no significant differences, with both groups improving on sleep diaries. The improvements in sleep hygiene were maintained at follow-up (partial eta squared = .09). Of secondary outcomes, depressive symptoms reduced significantly more from pre- to post-test in SIESTA+TAU than in TAU only (partial eta squared = .09). Conclusions: This study indicates that SIESTA is effective at improving sleep hygiene, perceived sleep problems, and depressive symptoms in adolescents with ADHD. However, to maintain long-term effects, booster sessions may be beneficial.

Clear communication of procedures and findings is critical for scientific progress. One problem facing many research disciplines is the incorrect labelling in the literature of multivariable (i.e. many Xs) statistical models as multivariate (many Ys). Multivariate and multivariable statistical models are different statistical approaches and should be described as such. I assessed whether behavioural ecologists fall victim to the mislabelling plaguing other disciplines by reviewing relevant papers published in Behavioral Ecology between 2013-2023. My review shows that approximately 30% of multivariable models were incorrectly labelled as multivariate. Although this error rate is less severe than in other scientific disciplines it is nonetheless greater than zero.

The planet’s health is inextricably linked to human health. Yet, continuing the current trajectory of individuals’ behaviors and a reliance on unsustainable collective structures will tax Earth’s resources and systems, triggering catastrophic consequences for people’s well-being. Understanding this connection is fundamentally an educational problem—new, evolving information must be delivered urgently, globally, and thoughtfully to learners within educational institutions and across the general public. In this article, we outline education’s pivotal role in advancing Planetary Health. Without comprehending how the balance of Earth’s systems impact human health, it is hard to imagine how people will change their attitudes, behaviors, and policy priorities in ways that will alter our current trajectory. Planetary Health education encompasses multiple unique features which we describe as key pedagogical tensions. We close with a series of research priorities to help practitioners and researchers better navigate these tensions, thereby advancing our global understanding of Planetary Health education.

This research studies the impact of Business Incubation Centres established by European Space Agency in several European countries on a specific indicator of their economies using difference in difference (DID) and Instrumental Variable (IV) methodology. To measure the impact, two groups of countries were compared – countries, where ESA BICs have been deployed (treatment group) and countries were ESA BICs were not deployed (control group) for time period between 2003 and 2016.In view of the fact that the ESA BIC foster innovation and entrepreneurship by incubating start-ups for one or more years, this research focused on an impact highlighting the benefit toward generally small companies and identified SDG Indicator 9.3.1 - Proportion of small-scale industries in total industry value added (%) - as an appropriate measure.The research avails of data from different sources: UN SDG database (United Nations, 2020), internal and external ESA database and World Data Bank database (World Bank, 2020). In this paper, the researcher sought to examine whether the proportion of small-scale industries in total industry value added (%) is higher for the treatment group where ESA BIC was deployed.The two regression methods implemented in this paper suggest that treatment group shows a statistically significant higher proportion of small-scale industries in total industry value added (%) compared to the control group.It is known that SMEs can add significant value to the countries’ economy and this result can be particularly useful for countries aiming to increase both their SME and technology based economy. The results of this research are considered for peer review in order to establish the robustness on this result in order to potentially influence future policy decisions on the establishment of ESA BICs in different regions other than Europe and the developing world.

Abstract The size of aerosol droplets is a critical factor in evaluating the risks associated with airborne pathogen transmission, yet it is highly variable due to evaporation. Additionally, the close proximity of water droplets within an aerosol plume can slow their evaporation, thereby further complicating risk assessments. To investigate these complexities, a versatile experimental setup was developed using the XAAR XJ128 inkjet printhead to generate droplets of 50 μm in diameter for detailed evaporation characterization within a plume. The droplet evaporation process was monitored via Phase Doppler Anemometry (PDA), which provided size distribution and velocity measurements at various positions along the vertical axis of the falling droplets. These experimental results were compared to a theoretical model for isolated droplet evaporation in quiescent air. Droplet number density significantly influenced evaporation, with measured evaporation rates in the plume, originally at a relative humidity of 30%, comparable to the theoretical model under 60-80% relative humidity when nearly all printhead nozzles were active. The effect of number density on evaporation was also analytically evaluated. Notably, the complete evaporation of droplets in this configuration could theoretically increase relative humidity up to 89% locally when all nozzles were used, while using about one-third of the nozzles resulted in a local relative humidity up to 33%. These insights underscore the importance of further investigating the evaporation dynamics of airborne aerosol droplets in the context of pathogen transmission. The use of an inkjet printhead demonstrates its significant potential for generating a controlled aerosol plume, offering a promising avenue for future research in this critical area.

Abstract A photovoltaic micro grid linked to a utility grid requires active and reactive power control. Active power balances generation and load demand, preventing oversupply or overloading. The Static Synchronous Compensator (STATCOM) based on a Pulse Width Modulation (PWM) Voltage Source Inverter (VSI) is used to control these power flows, enhancing grid stability, power quality, and energy efficiency. Reactive power is crucial for maintaining voltage levels within the grid, especially in distribution networks with high PV penetration. STATCOM, a PWM-VSI-based system, manages reactive power flow by dynamically adjusting the inverter's output voltage to compensate for voltage fluctuations and maintain a stable voltage profile. Reactive power management enhances reliability and quality in micro grid connected utility grid by minimizing issues like voltage sags, flickers, and power losses. In this proposed system, the modified PWM-VSI STATCOM regulates PV system voltage and current waveforms using P&O MPPT controller and SAR MPPT controller, ensuring grid stability during variable solar generation. Active power and reactive power controlling by implementing SAR MPPT connected SPV system tied 400 V,50 Hz utility grid integrated modified PWM-VSI STATCOM controller is superior as compared to the P&O MPPT connected SPV system tied 400 V, 50 Hz utility grid integrated modified PWM-VSI STATCOM controller in terms of active power management and reactive power control. In this proposed system, it has been observed that the SAR MPPT control based SPV plant is capable to extract 13.56 KW power & 883.9 V whereas P&O control based SPV plant is capable to extract 13.47 KW power, 882.7 V.