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Solid dispersions are promising drug delivery forms which offer the possibility to disperse a hydrophobic drug in a hydrophilic matrix and thereby improve the dissolution behavior and the bioavailability of the drug. One important aspect and a prerequisite in understanding the drug dissolution mechanism from solid dispersions is a better analytical monitoring of the solid dispersion surface proper
Genetic studies show that Iranians, despite linguistic and regional differences, share a deep ancestral continuity rooted in the Iranian plateau. Language shifts have occurred without major population changes, and all major Iranian groups belong to a shared genetic family. This unity supports a democratic and inclusive national identity, where diversity strengthens rather than divides.
Quantum technologies and experiments often require preparing systems in low-temperature states. Here we investigate cooling schemes using feedback protocols modeled with a quantum Fokker-Planck master equation (QFPME) recently derived by Annby-Andersson et al. [Phys. Rev. Lett. 129, 050401 (2022)0031-900710.1103/PhysRevLett.129.050401]. This equation describes systems under continuous weak measure
This paper deals with the centroid and formation control problem of multi–agent robotic systems. The proposed solution is based on a leader–follower scheme, where only a subset of agents, i.e., the leaders, knows the desired trajectories for the centroid and the formation of the system, while the other agents, i.e., the followers, are required to estimate them through a dynamic consensus scheme. T
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
Mitochondrial replacement therapy has been developed in order to prevent the transmission of mitochondrial mutations, yet it raises ethical concerns, particularly regarding the involvement of third-party DNA and the risks associated with donor procedures. This paper explores an alternative approach using synthetic DNA (synDNA) to construct mitochondrial organelles, thereby bypassing the need for d
Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study
Monitoring agricultural land with optical remote sensing offers a valuable tool for estimating crop yield and supporting decision-making for food security. Cropland phenology indicators, such as the start of season (SOS), the end of season (EOS), and the number of growing seasons per year, provide essential information for land managers. While established toolboxes like TIMESAT have been extractin
The emergence of cyber mistreatment among frontline workers in their digital interactions with customers, clients and patients represents a significant but relatively new work environment risk within the service sector. Human resource management has a key role in digital transformation, which includes securing safe and healthy workplaces and fostering sustainable practices for handling cyber mistr
ImportanceSyncope remains a diagnostic challenge despite advancements in testing and treatment. Cardiac syncope is an independent predictor of mortality and can be difficult to distinguish from other causes of transient loss of consciousness (TLOC).ObservationsThe cause of TLOC is often unclear, hospitalization criteria are ambiguous, diagnostic tests are frequently non-informative, and assessment
This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks and is built on, combines and further develops several different modules from previous research. The network takes an RGB image and estimates a wireframe as well as a feature space using an hourglass backbone. From t
To complete a new Swedish railway line in a much shorter timeframe than today, alter natives to the traditional methods need to be explored. One option is the use of prefabricated concrete slabs elevated on piers, analogous to the concept used in China for building new railways in record time (He et al., 2017). The method has the advantage of directly tackling the barrier effects exhibited by trad
This paper focuses on how one can relate management thinking/practices to entrepreneurial processes in the context of formal organization. In order to do this we develop a number of related 'spatial concepts' providing us with the possibility of describing entrepreneurship as a 'creation and use of space for play/innovation'. Using concepts of space, the managerial and the entrepreneurial dimensio
Accident models and analysis methods affect what accident investigators look for, which contributory factors are found, and which recommendations are issued. This paper contrasts the Sequentially Timed Events Plotting (STEP) method and the Functional Resonance Analysis Method (FRAM) for accident analysis and modelling. The main issue addressed in this paper is the comparison of the established mul
Efficient recycling and upcycling strategies to retain the material in the economy and away from the ecosystems are important to achieve a sustainable plastic system. Poly(butylene adipate-co-terephthalate) (PBAT) is a biodegradable polyester that has gained considerable interest for various applications. Here, we report a study on enzymatic depolymerization of PBAT, recovery and purification
Public Procurement for Innovation (PPI) requires multiple roles from the public administration according to the problem-solution space, delineated by the level of consensus around the definition of the needs of the contracting authority and the potential solutions to address them. Each role involves a distinct mix of capabilities, which we categorize as ordinary (i.e. doing things right), dynamic
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear inter
