We present a description and analysis of the data access challenge in Siemens Energy. We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the ...challenge. We derive requirements for applying OBDA in Siemens, review existing OBDA systems and discuss their limitations with respect to the Siemens requirements. We then introduce the Optique platform as a suitable OBDA solution for Siemens. The platform is based on a number of novel techniques and components including a deployment module, BootOX for ontology and mapping bootstrapping, a query language STARQL that allows for a uniform querying of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior knowledge of its formal syntax. Finally, we describe our installation and evaluation of the platform in Siemens.
Accurate reference intervals (RIs) are essential for clinical interpretation of laboratory test results; however, major gaps exist in pediatric RIs. The Canadian Laboratory Initiative on Pediatric ...Reference Intervals (CALIPER) has established age- and sex-specific pediatric RIs on various analytical platforms. The current study expands the CALIPER database by establishing age- and sex-specific RIs for biochemical assays on Siemens ADVIA XPT/1800 and Dimension EXL Systems.
Serum samples from a total of 909 and 867 healthy children and adolescents (ages 0–<19 y) were tested on ADVIA XPT/1800 and Dimension EXL systems, respectively. Age- and/or sex-specific RIs were calculated for a total of 54 biochemical assays.
Serum concentrations of several biomarkers remained relatively constant across the pediatric age range and similar between sexes, including sodium and triglycerides. Other biomarkers, such as alkaline phosphatase and creatinine showed both age and sex differences. Furthermore, immunoglobulin A and iron showed only age differences.
We established RIs for creatine kinase, random glucose, total iron binding capacity, and several electrolytes for the first time using the CALIPER cohort. Overall, pediatric RIs established in the current study will allow for more accurate laboratory test interpretation worldwide using Siemens chemistry assays.
•Pediatric reference intervals (RIs) were calculated for 54 Siemens chemistry assays.•First report of RIs for 3 electrolytes, CK, TIBC, and glucose using CALIPER cohort.•Biomarker-specific changes were observed with respect to participant age and sex.•The findings will allow for accurate laboratory assessment of pediatric patients.
Humanities educators are frequently frustrated by students’ poor engagement in reading. The contemporary student experience is characterised by disruption and precarity. Similarly, is that of ...teachers who work in casual employment. This discussion is located within broader conversations around the neoliberal university, but aims to make more visible ways that teaching and learning are increasingly shaped by precarity, and consequences for the humanities. It describes what precarity in higher education looks like and considers the kinds of strategies that students and their teachers are positioned to develop by virtue of engaging in education under such conditions, amid chaos, making these meaningful through the learning theory of connectivism. This discussion points to some examples of humanities-based pedagogical innovations that seek to strengthen reading skills, while also acknowledging the changing circumstances of students to point towards avenues for ongoing consideration, reflection, and innovation in the humanities.
•Middleware design flaws can impact laboratory operations and patient care.•A results display design flaw led to missed sodium critical value alerts.•Labs should examine all aspects of middleware ...interfaces during validation.
In 2018, our clinical laboratory was alerted to back-to-back plasma sodium critical value callback failures on the same patient, occurring on different shifts and involving different technologists. Therefore, we set forth to investigate the root cause for the critical value callback failures.
We conducted a thorough investigation focused on the processes associated with critical value identification and notification for plasma sodium measurement performed on the Siemens Vista.
Our investigation uncovered a flaw in the Siemens CentraLink middleware software. A default dark blue bar in the top row of the results review display was determined to obscure the red color which highlights critical values for lab staff identification. Sodium was disproportionately impacted by this flaw, as it is commonly ordered as part of metabolic panels, and is listed first among the panel analytes in the top row of the CentraLink display. Retrospective data review comparing critical callback failure rates for sodium to potassium and hemoglobin confirmed that sodium had significantly higher critical callback failure rates than these other analytes. After alerting the product manufacturer, Siemens programmed the CentraLink display so that the top row was blank and devoid of patient results, so that the blue color in the top row would no longer obscure the red visual cue of a patient’s critical result. Sodium critical value callback failures were reduced to 0% after this middleware display correction.
Middleware design flaws can have unexpected consequences on clinical laboratory operations. We encourage clinical laboratories to closely examine user interfaces utilized by laboratory staff, and be wary of potential impacts that the display format may have on results reporting.
Polysilicon production costs contribute approximately to 25–33% of the overall cost of the solar panels and a similar fraction of the total energy invested in their fabrication. Understanding the ...energy losses and the behaviour of process temperature is an essential requirement as one moves forward to design and build large scale polysilicon manufacturing plants. In this paper we present thermal models for two processes for poly production, viz., the Siemens process using trichlorosilane (TCS) as precursor and the fluid bed process using silane (monosilane, MS). We validate the models with some experimental measurements on prototype laboratory reactors relating the temperature profiles to product quality. A model sensitivity analysis is also performed, and the effects of some key parameters such as reactor wall emissivity and gas distributor temperature, on temperature distribution and product quality are examined. The information presented in this paper is useful for further understanding of the strengths and weaknesses of both deposition technologies, and will help in optimal temperature profiling of these systems aiming at lowering production costs without compromising the solar cell quality.
•Temperature control in the CVD processes for SoGSi production is essential.•The heat loss problem associated with polysilicon CVD is addressed.•CFD models for a Siemens and FBR prototypes are developed.•The CFD models developed give us reasonable estimates of the temperature distribution.•CFD models become a tool for design and will help in optimal temperature profiling of these systems.
The ANET project aims at developing 2D compact neutron collimators for neutron imaging applications. The results of the ANET collimator performances, presented in this communication, are based on ...data collected at the FISH beamline at TU-Delft. Two independent methods to evaluate the neutron radiography resolution are described and discussed, as well as a comparison of the beam divergence with or without the ANET collimator.
•Neutron Beam Divergence measurement.•Numerical method to derive neutron image resolution with a Siemens Star.•New data-driven approach to defining the MTF threshold on neutron radiography measurements.
Additive Manufacturing (AM) is the process of part building by stacking layers of material on top of each other. Various challenges for a metal powder based process include reducing the staircase ...effect which leads to poor surface finish of the part, and minimal use of support structures for regions with overhangs or internal hollow volumes. Part build orientation is a crucial process parameter which affects part quality, in particular, Geometric Dimensioning & Tolerancing (GD&T) errors on the part, the energy expended and the extent of support structures required. This paper provides an approach to identify an optimal build orientation which will minimize the volume of support structures while meeting the specified GD&T criteria of the part for a DMLS based process. Siemens PLM NX API is used to extract the GD&T callouts and associated geometric information of the CAD model. The regions requiring support structures are identified and a Quadtree decomposition is used to find the volume of support structures. The mathematical relationships between build orientation and GD&T are developed as part of a combined optimization model to identify best build orientations for minimizing support structures while meeting the design tolerances. The feasible build orientations along with the corresponding support structures are depicted using a visual model.
Although some authors realized various measurement techniques and relevant standards in the experimental verification, the existing contributions still did not mention more complex automated ...workplaces with industrial robotic arm participation. To solve this, we provide a different view of the interconnection between individual devices (positioner, robot, etc.) controlled by third-party methods (Siemens products). Also, to obtain the necessary effectiveness, we tested and verified selected accuracy parameters for the participating device component (positioner). The proposed work tries to fulfill expectations for a precise welding technology (to ensure simultaneous movements of both the industrial robotic arm and positioner) to achieve higher quality and productivity. However, the components are from different manufacturers.
Automation is beneficial when implemented in challenging environments requiring less human effort or reducing human effort. Employee safety is a concern to increase productivity, delivery and achieve ...the required quality. The present research investigates the possibility of installing an automation procedure in an anodizing industry called GOLDEN ANODIZER, which is situated in Coimbatore, India. During the preliminary analysis at the specified industry premises, there was a reduction in productivity, quality and customer delivery due to manual operations, including some health issues were identified. And hence the present investigation analyses the possibility of installation of an automation system for the anodizing process. For such reason, the digital twin of an automation system is first designed, developed and tested using Siemens NX software. The anodizing factors such as Anodizing medium temperature (K), Acid Concentration (wt%), applied voltage (V) and Responses Surface Finish (Ra), Film Thickness (tf) and Time Duration (T) were optimized for improved productivity and quality. Prediction results and RMSE analysis show that the proposed hybrid PSO-LFA algorithm has outperformed all modern algorithms. The proposed algorithm optimized the anodizing parameters and suggested 3650.7 s as a new cycle time. Also, the improved cycle time can boost the plant outcome by 182% and reduce the manpower by 46% through the proposed Automation system.
•Issues in the Aluminium anodizing industry due to the manual operation were studied.•An automatic anodizing plant layout based on the Digital Twin method was presented.•Enhanced accuracy during prediction and optimization by hybrid PSO-LVA.•182% increased production with 46% lesser manpower is possible by automation.
Technical debt (TD) requires the management of several technical and nontechnical aspects. Based on 10 years of research and practice, we have created an effective approach, TD Pulse, to assess TD ...management in large software companies and find critical improvement areas.
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