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Groundwater drought, a significant natural disaster in arid and semi-arid regions, contributes to numerous consecutive issues. Due to the inherent complexity of groundwater flow systems, accurately quantifying and describing this phenomenon remains a challenging task. As a result of excessive agricultural development, the Marand Plain in northwestern Iran is experiencing both groundwater drought a

The introduction of Multiple-Input Multiple-Output (MIMO) systems has dramatically transformed wireless communication systems, in particular in the Fifth Generation (5G) New Radio (NR) systems, fundamentally changing how signals are transmitted and received. MIMO technology deploys numerous antennas to transmit and receive multiple data streams simultaneously. The presence of obstructions and scatThe introduction of Multiple-Input Multiple-Output (MIMO) systems has dramatically transformed wireless communication systems, in particular in the Fifth Generation (5G) New Radio (NR) systems, fundamentally changing how signals are transmitted and received. MIMO technology deploys numerous antennas to transmit and receive multiple data streams simultaneously. The presence of obstructions and scat

To carry out the search mission, an additional narrow-angle video camera is installed on board the unmanned aerial vehicle (UAV). This video camera can be re-aimed at objects detected in the image frame received from the main (navigation) video camera. The movement of the additional video camera is carried out by two coordinated electric drives using direct current motors or brushless direct curre

Against the backdrop of the current geopolitical situation, logistics preparedness emerges as a pivotal area of focus for defence supply chains. Despite the critical role of commercial suppliers, research on utilising these in defence logistics and supply chains remains scarce. Adopting a supply chain governance lens, we have conducted a systematic literature review to provide an overview of exist

Background: Whether dairy intake is related to type 2 diabetes (T2D) remains unclear, as does potential metabolic mechanisms for this association. Objectives: We aimed to examine the association between high dairy intake and risk of T2D and identify plasma metabolites reflecting dairy intake. Methods: This prospective cohort study included 26,461 Swedish individuals recruited between 1991 and 1996

An additional upsurge in bacterial STIs has been observed in Sweden following HIV pre-exposure prophylaxis (PrEP) implementation. From a prevention perspective, it is of relevance to optimize testing strategies within PrEP programmes to identify those most at risk. An open retrospective longitudinal observational cohort study was performed at three STI clinics in Uppsala, Gothenburg, and Malmö. A

The study is devoted to the development of the 2DCAM hardware and software complex for the physical modeling of the two-coordinate positioning system of the additional video camera of the UAV using the Simulink environment. DYNAMIXEL actuator systems were used to create a complex prototype. They combine DC motor, reduction gearhead, controller, driver and network components.The AH-12A actuator is

BACKGROUND: Previous post hoc analyses of clinical trials have suggested that a higher percentage of systolic blood pressure time in target range (SBP-TTR) was associated with a decreased risk of cardiovascular disease (CVD). However, there is limited evidence from large prospective cohort studies on the relationship between long-term SBP-TTR and the risk of CVD.OBJECTIVES: The purpose of this stu

This work is devoted to the development of a prototype of a small-sized information display system (SSIDS) for UAVs, which implements a human-machine interface. This system in field conditions in the presence of electromagnetic interference allows you to enter and adjust the flight task.The research used a liquid crystal display (LCD) based on the GC9A01 driver and a WeActStudio development board

Industrial symbiosis is a collaborative approach that aims to enhance resource efficiency andsustainability by facilitating exchanges between industries and other societal actors. Traditionally,industrial symbiosis focused on optimizing physical resource flows, such as excess energy, wastematerials, and by-products. However, over time, the concept has expanded to also include, for example,collaborIndustrial symbiosis is a collaborative approach that aims to enhance resource efficiency and sustainability by facilitating exchanges between industries and other societal actors. Traditionally, industrial symbiosis focused on optimizing physical resource flows, such as excess energy, waste materials, and by-products. However, over time, the concept has expanded to also include, for example, coll

Concerto for horn and orchestraopus: Op. 118subtitle: A Walk in Coloursduration: 28 minutes / 1 movement / 92 score pagesinstrumentation: horn, chamber orchestradedicated to: Felix Klieserdirector: Petr Popelka

In an era of climate change, as the intensity and frequency of droughts are expected to increase, effectiveclimate adaptation strategies become increasingly important for both natural ecosystems and society.Understanding vegetation's responses to drought and monitoring the impacts of drought on terrestrialecosystems are essential for developing reliable decision-support systems. This thesis aimed

opus: Op. 120duration: 2 minutes / 1 movement / 2 score pagesinstrumentation: Solo Pianodedicated to: Mats Janssoncommissioner: Mats JanssonEn del av Mats Janssons projekt ”Diabellivariationer Då och Nu”. Se information nedan:Utgåvan Vaterländischer Künstlerverein, med Beethovens och 50 andra tonsättares variationer på Anton Diabellis vals, var ett unikt och ambitiöst företag år 1824. Mot denna ba

The article introduces the topic of reflective practice for a fire engineering audience. It first presents an overview of selected theory for reflection before connecting how they relate to engineering practices. In the second half, the author shares an example of a recent encounter in a project, how it relates to an older experience, and how he reflects upon it. Lastly, a personal view towards hi

This thesis explores the challenges and advancements in high-dimensional Bayesian optimization (HDBO), focusing on understanding, quantifying, and improving optimization techniques in high-dimensional spaces.Bayesian optimization (BO) is a powerful method for optimizing expensive black-box functions, but its effectiveness diminishes as the dimensionality of the search space increases due to the cu

Verket är beställt av Canzonetta, Kettil Skarby och uruppfört av dem i Eric Ericson-hallen i Stockholm. Opus 123. Besättning kör a cappella. Utgivet av Gehrmans Musikförlag. Text från romersk-katolska mässan: Må evigt ljus lysa över dem, Herre, med dina heliga för alltid, ty du är god. Ge dem evig vila, Herre,och må evigt ljus lysa över dem, för du är god.

Bayesian optimization is a widely used method for optimizing expensive black-box functions, with Expected Improvement being one of the most commonly used acquisition functions. In contrast, information-theoretic acquisition functions aim to reduce uncertainty about the function's optimum and are often considered fundamentally distinct from EI. In this work, we challenge this prevailing perspective

A well-balanced exploration-exploitation trade-off is crucial for successful acquisition functions in Bayesian optimization. However, there is a lack of quantitative measures for exploration, making it difficult to analyze and compare different acquisition functions. This work introduces two novel approaches - observation traveling salesman distance and observation entropy - to quantify the explor

Recent work reported that simple Bayesian optimization methods perform well for high-dimensional real-world tasks, seemingly contradicting prior work and tribal knowledge. This paper investigates the 'why'. We identify fundamental challenges that arise in high-dimensional Bayesian optimization and explain why recent methods succeed. Our analysis shows that vanishing gradients caused by Gaussian pr

Bayesian optimization (BO ) is an effective method for optimizing expensive-to-evaluate black-box functions. While high-dimensional problems can be particularly challenging, due to the multitude of parameter choices and the potentially high number of data points required to fit the model, this limitation can be addressed if the problem satisfies simplifying assumptions. Axis-aligned subspace appro