Comparison of 2D and 3D modeling for deriving effective hydraulic properties of stony soils

Stone, gravel or rock fragments that are embedded in a matrix of fine soil have a substantial effect on effective soil hydraulic and transport properties. Understanding the role of stones in soils is important not only for soil water transport processes such as infiltration, evaporation and redistribution, but also for related solute transport processes. A variety of models has been proposed in the past to predict the systematic effect of varying amounts of stones on effective saturated conductivity and water retention of a soil-stone mixture. Respective studies for unsaturated hydraulic conductivity are still missing. To test the accuracy and validity of such predictive models, and to expand them to unsaturated conductivity, the investigation of virtual porous media, which can be obtained by numerical forward modeling of water and solute transport in soil-stone mixtures is the method of choice. Furthermore, to test the postulate that effective homogeneous properties exist and can replace the heterogeneous system, the ability of a 1D model with assumed homogeneous soil properties to match “observed” state variables and fluxes of a higher-dimensional heterogeneous model under a variety of conditions is a necessary requirement. With few exceptions, such heterogeneous modeling studies have hitherto been performed only for simplified cases, i.e., either under fully saturated conditions, or with a reduced dimensionality, i.e., 2D simulations of soil/stone mixtures. In this work, we use the simulation tool HYDRUS-2D3D to investigate the systematic differences that occur when modeling partially unsaturated transient water in stony soils, based on the Richards equation. Specifically, we compare truly 3D with 2D simulations and discuss the implications for effective 1D hydraulic properties

CITYTWIN – AI-based Decision Support System for Semantic Search and Analysis of Location-based Information for Urban and Site Planning

The development of a knowledge-based decision support system for the evaluation and planning of location and urban development concepts was implemented. In order to achieve this goal, cross-domain ontologies were developed for interdisciplinary databases, which are then mapped in semantic networks. The exponential growth in computing power in the hardware sector alone can no longer solve this problem, but at the same time enables the application of new methods for storing and evaluating data. Essentially, it is no longer just about the digital recording of object properties in conventional databases, but also about the digital representation of their significance for specific questions and the linking of meanings across the boundaries of specialist domains. This information is stored in a multimedia knowledge base, together with the methods and rules for its use and the evaluations and decisions based on it. The motivation for this project is the rapidly growing amount of data, which extends across ever new specialist domains and can no longer be sufficiently integrated into the decision-making of experts using conventional methods of knowledge acquisition. After determining this data, it was linked to a georeferencing. Within the framework of the project, documents were analyzed with the help of AI and examined for semantic text corpora. This data was georeferenced. Various algorithms were used to accomplish this task, including TF-IDF, TextRank and Word2Vec

Python tooth-inspired fixation device for enhanced rotator cuff repair

Rotator cuff repair surgeries fail frequently, with 20 to 94% of the 600,000 repairs performed annually in the United States resulting in retearing of the rotator cuff. The most common cause of failure is sutures tearing through tendons at grasping points. To address this issue, we drew inspiration from the specialized teeth of snakes of the Pythonoidea superfamily, which grasp soft tissues without tearing. To apply this nondamaging gripping approach to the surgical repair of tendon, we developed and optimized a python tooth-inspired device as an adjunct to current rotator cuff suture repair and found that it nearly doubled repair strength. Integrated simulations, 3D printing, and ex vivo experiments revealed a relationship between tooth shape and grasping mechanics, enabling optimization of the clinically relevant device that substantially enhances rotator cuff repair by distributing stresses over the attachment footprint. This approach suggests an alternative to traditional suturing paradigms and may reduce the risk of tendon retearing after rotator cuff repair

General Aviation Weather Encounter Case Studies

This study presents a compilation of 24 cases involving general aviation (GA) pilots’ weather encounters over the continental U.S. The project team interviewed pilots who had experienced a weather encounter, and we examined their backgrounds, flight experience, and weather encounter details. Results from meteorological data analysis for each weather encounter were consistent with findings of larger GA weather accident studies in terms of the types of hazards encountered and flight phase during which the encounters occurred. Investigation of pilot weather products and the sources from which they were obtained revealed a lack of uniformity of pre-flight data sources and underutilization of available en route flight information services. The team used these results to develop a set of pilot weather education and training recommendations intended to reduce the number and severity of weather encounters

DevOps Adoption Benefits and Challenges in Practice: A Case Study

DevOps is an approach in which traditional software engineering roles are merged and communication is enhanced to improve the production release frequency and maintain software quality. There seem to be benefits in adopting DevOps but practical industry experiences have seldom been reported. We conducted a qualitative multiple-case study and interviewed the representatives of three software development organizations in Finland. The responses indicate that with DevOps, practitioners can increase the frequency of releases and improve test automation practices. DevOps was seen to encourage collaboration between departments which boosts communication and employee welfare. Continuous releases enable a more experimental approach and rapid feedback collection. The challenges include communication structures that hinder cross-department collaboration and having to address the cultural shift. Dissimilar development and production environments were mentioned as some of the technical barriers. DevOps might not also be suitable for all industries. Ambiguity in the definition of DevOps makes adoption difficult since organizations might not know which practices they should implement for DevOps.Peer reviewe

Business process modelling to improve incident management process

Business process management (BPM) is an approach focused on the continuous improvement of business processes, providing for this a collection of best practices. These best practices enable the redesign of business processes to meet the desired performance. IT service management (ITSM) defines the management of IT operations as a service. There are several ITSM frameworks available, consisting in best practices that propose standardizing these pro- cesses for the respective operations. By adopting these frameworks, organisations can align IT with their business objectives. Therefore, the objective of this research is to understand how BPM can be used to improve of ITSM processes. An exploratory case study in a multinational company based in Lisbon, Portugal, is conducted for the improvement of the time performance of an inci- dent management process. Data were gained through documentation, archival records, interviews and focus groups with a team involved in IT support service. So far, the as-is process was elicited, and respective incongruences clarified. During the next months the authors intend to identify the main problems and simulate the appropriate BPM heuristics to understand the impact in the busi- ness organisation.info:eu-repo/semantics/acceptedVersio

Prediction of the absolute hydraulic conductivity function from soil water retention data

For modeling flow and transport processes in the soil–plant–atmosphere system, knowledge of the unsaturated hydraulic properties in functional form is mandatory. While much data are available for the water retention function, the hydraulic conductivity function often needs to be predicted. The classical approach is to predict the relative conductivity from the retention function and scale it with the measured saturated conductivity, Ks. In this paper we highlight the shortcomings of this approach, namely, that measured Ks values are often highly uncertain and biased, resulting in poor predictions of the unsaturated conductivity function. We propose to reformulate the unsaturated hydraulic conductivity function by replacing the soil-specific Ks as a scaling factor with a generally applicable effective saturated tortuosity parameter τs and predicting total conductivity using only the water retention curve. Using four different unimodal expressions for the water retention curve, a soil-independent general value for τs was derived by fitting the new formulation to 12 data sets containing the relevant information. τs was found to be approximately 0.1. Testing of the new prediction scheme with independent data showed a mean error between the fully predicted conductivity functions and measured data of less than half an order of magnitude. The new scheme can be used when insufficient or no conductivity data are available. The model also helps to predict the saturated conductivity of the soil matrix alone and thus to distinguish between the macropore conductivity and the soil matrix conductivity.</p

Test des neuen PARIO-Gerätes zur automatisierten Schlämmkornanalyse auf Basis der ISP-Methode

Die Partikelgrößenverteilung ("particle size distribution", PSD) kennzeichnet eine der wichtigsten physikalischen Eigenschaften von Böden. Das Referenzverfahren zur Bestimmung des PSD beruht auf der durch Gravitation bedingten Sedimentation von Partikeln in einer anfänglich homogenen Suspension. Herkömmliche Methoden messen manuell (i) den Auftrieb eines schwimmenden Körpers in der Suspension zu verschiedenen Zeiten (Aräometer-Methode) oder (ii) die Feststoffmasse in extrahierten Suspensionsvolumina zu vorgegebenen Zeiten (Pipett-Methode). Beide Verfahren führen zu einer Störung des Sedimentationsprozesses und liefern nur wenige diskrete Daten der PSD. Durner et al. (2017) haben kürzlich eine neue automatisierte Methode zur Bestimmung der Partikelgrößenverteilung von Böden und Sedimenten aus Gravitationssedimentation enwickelt. Das "Integrale Suspensiondruckverfahren" (ISP) schätzt kontinuierliche Partikelgrößenverteilungen aus Sedimentationsexperimenten, indem die zeitliche Entwicklung des Suspensionsdrucks bei einer bestimmten Meßtiefe in einem Sedimentationszylinder aufgezeichnet wird. Das Verfahren erfordert keine manuelle Interaktion nach dem Start und somit keine spezialisierte Ausbildung des Laborpersonals und vermeidet jegliche Störung des Sedimentationsprozesses. Die Technik zur Durchführung dieser Experimente wurde von der Firma UMS AG, München, entwickelt und steht als Instrument mit der Bezeichnung PARIO zur Verfügung, das von der METER Group AG gehandelt wird. In diesem Vortrag wird die grundlegende Funktionsweise von PARIO aufgezeigt und Schlüsselkomponenten und Parameter der Technologie erläutert

Participation of the Cell Polarity Protein PALS1 to T-Cell Receptor-Mediated NF-κB Activation

BACKGROUND: Beside their established function in shaping cell architecture, some cell polarity proteins were proposed to participate to lymphocyte migration, homing, scanning, as well as activation following antigen receptor stimulation. Although PALS1 is a central component of the cell polarity network, its expression and function in lymphocytes remains unknown. Here we investigated whether PALS1 is present in T cells and whether it contributes to T Cell-Receptor (TCR)-mediated activation. METHODOLOGY/PRINCIPAL FINDINGS: By combining RT-PCR and immunoblot assays, we found that PALS1 is constitutively expressed in human T lymphocytes as well as in Jurkat T cells. siRNA-based knockdown of PALS1 hampered TCR-induced activation and optimal proliferation of lymphocyte. We further provide evidence that PALS1 depletion selectively hindered TCR-driven activation of the transcription factor NF-κB. CONCLUSIONS: The cell polarity protein PALS1 is expressed in T lymphocytes and participates to the optimal activation of NF-κB following TCR stimulation

Analytical and toxicological aspects of nanomaterials in different product groups: Challenges and opportunities

The widespread integration of engineered nanomaterials into consumer and industrial products creates new challenges and requires innovative approaches in terms of design, testing, reliability, and safety of nanotechnology. The aim of this review article is to give an overview of different product groups in which nanomaterials are present and outline their safety aspects for consumers. Here, release of nanomaterials and related analytical challenges and solutions as well as toxicological considerations, such as dose-metrics, are discussed. Additionally, the utilization of engineered nanomaterials as pharmaceuticals or nutraceuticals to deliver and release cargo molecules is covered. Furthermore, critical pathways for human exposure to nanomaterials, namely inhalation and ingestion, are discussed in the context of risk assessment. Analysis of NMs in food, innovative medicine or food contact materials is discussed. Specific focus is on the presence and release of nanomaterials, including whether nanomaterials can migrate from polymer nanocomposites used in food contact materials. With regard to the toxicology and toxicokinetics of nanomaterials, aspects of dose metrics of inhalation toxicity as well as ingestion toxicology and comparison between in vitro and in vivo conclusions are considered. The definition of dose descriptors to be applied in toxicological testing is emphasized. In relation to potential exposure from different products, opportunities arising from the use of advanced analytical techniques in more unique scenarios such as release of nanomaterials from medical devices such as orthopedic implants are addressed. Alongside higher product performance and complexity, further challenges regarding material characterization and safety, as well as acceptance by the general public are expected