Tool For Analysis Of Processes Research Articles

Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents.

AimIn PET imaging, the different types of radiotracers and accumulations, as well as the diversity of disease patterns, make the analysis of molecular imaging data acquired in vivo challenging. Here, we evaluate and validate a semi-automated MRI template-based data analysis tool that allows preclinical PET images to be aligned to a self-created PET template. Based on the user-defined volume-of-interest (VOI), image data can then be evaluated using three different semi-quantitative parameters: normalized activity, standardized uptake value, and uptake ratio.Materials and MethodsThe nuclear medicine Data Processing Analysis tool (NU_DPA) was implemented in Matlab. Testing and validation of the tool was performed using two types of radiotracers in different kinds of stroke-related brain diseases in rat models. The radiotracers used are 2-[18F]fluoro-2-deoxyglucose ([18F]FDG), a metabolic tracer with symmetrical distribution in brain, and [68Ga]Ga-Fucoidan, a target-selective radioligand specifically binding to p-selectin. After manual image import, the NU_DPA tool automatically creates an averaged PET template out of the acquired PET images, to which all PET images are then aligned onto. The added MRI template-based information, resized to the lower PET resolution, defines the VOI and also allows a precise subdivision of the VOI into individual sub-regions. The aligned PET images can then be evaluated semi-quantitatively for all regions defined in the MRI atlas. In addition, a statistical analysis and evaluation of the semi-quantitative parameters can then be performed in the NU_DPA tool.ResultsUsing ischemic stroke data in Wistar rats as an example, the statistical analysis of the tool should be demonstrated. In this [18F]FDG-PET experiment, three different experimental states were compared: healthy control state, ischemic stroke without electrical stimulation, ischemic stroke with electrical stimulation. Thereby, statistical data evaluation using the NU_DPA tool showed that the glucose metabolism in a photothrombotic lesion can be influenced by electrical stimulation.ConclusionOur NU_DPA tool allows a very flexible data evaluation of small animal PET data in vivo including statistical data evaluation. Using the radiotracers [18F]FDG and [68Ga]Ga-Fucoidan, it was shown that the semi-automatic MRI-template based data analysis of the NU_DPA tool is potentially suitable for both metabolic radiotracers as well as target-selective radiotracers.

Symposia

The COVID-19 pandemic enhances and accelerates an inevitable paradigm shift in interactions between health care providers and patient: from physician guided intermittent clinical visits and assessments towards remote active and passive monitoring and provision of care and education (E-health). The broad availability of electronic/ digital tools like smartphones and smartwatches, that have become indispensable in more and more areas of daily life, provides the technological basis for this transformation. Smartphones or smartwatches already contain sensors like accelerometers (acceleration), gyroscopes (angular velocity) and magnetometers (compass level orientation data) that can provide frequent or even continuous, objective, real-world information about qualitative and quantitative aspects of human performance enabling a comprehensive remote assessment. The realization of such obvious advantages and opportunities is not trivial: We need to develop appropriate signal processing and data analysis tools and algorithms to derive informative and reliable features that may be used as digital biomarkersout of a nearly indefinite quantity of data. We will discuss challenges and opportunities in the context of ongoing projects that aim at validating digital biomarkers such as our own project dreaMS. In Multiple Sclerosis (MS), a complex and chronic disease, the additional challenge is to complement established clinical and innovative digital biomarkers by laboratory and imaging features that access the underlying pathological processes in the immune and nervous system. Only such comprehensive approaches will allow real progress towards personalized MS care.

Time-Reversibility, Causality and Compression-Complexity.

Detection of the temporal reversibility of a given process is an interesting time series analysis scheme that enables the useful characterisation of processes and offers an insight into the underlying processes generating the time series. Reversibility detection measures have been widely employed in the study of ecological, epidemiological and physiological time series. Further, the time reversal of given data provides a promising tool for analysis of causality measures as well as studying the causal properties of processes. In this work, the recently proposed Compression-Complexity Causality (CCC) measure (by the authors) is shown to be free of the assumption that the "cause precedes the effect", making it a promising tool for causal analysis of reversible processes. CCC is a data-driven interventional measure of causality (second rung on the Ladder of Causation) that is based on Effort-to-Compress (ETC), a well-established robust method to characterize the complexity of time series for analysis and classification. For the detection of the temporal reversibility of processes, we propose a novel measure called the Compressive Potential based Asymmetry Measure. This asymmetry measure compares the probability of the occurrence of patterns at different scales between the forward-time and time-reversed process using ETC. We test the performance of the measure on a number of simulated processes and demonstrate its effectiveness in determining the asymmetry of real-world time series of sunspot numbers, digits of the transcedental number and heart interbeat interval variability.

Technical feasibility of biodiesel production from virgin oil and waste cooking oil: Comparison between traditional and innovative process based on hydrodynamic cavitation

Biodiesel production calls for innovative solutions to turn into a competitive process with a reduced environmental impact. One of the process bottlenecks stands in the immiscibility of oil and alcohol as raw materials, so mixing process largely impacts the overall process cost. This process step, if carried out by using hydrodynamic cavitation, has the possibility to become a benchmark for large scale applications. In this paper a process analysis of biodiesel production scheme is developed starting from two different feedstocks, virgin oil and waste cooking oil. At the first the traditional process scheme has been simulated, in a second simulation, the reactor for the biodiesel production is interchanged with a hydrodynamic cavitation reactor. In the paper, the comparison between the traditional and innovative process by using life cycle costing approach has been presented, thus providing indications for industrial technological implementation coming from a professional tool for process analysis. It is worth noting that the introduction of hydrodynamic cavitation reduces of about 40% the energy consumption with respect to the traditional process. As regards the total treatment costs, when using virgin oil as feedstock, they were in the range 820–830 €/t (innovative and traditional process, respectively); while starting from waste cooking oil the costs decreased of about 60%, down to 290–300 €/t (innovative and traditional process, respectively).

Deep learning-assisted microstructural analysis of Ni/YSZ anode composites for solid oxide fuel cells

Quantitative microstructural interpretations were carried out without human involvement through an integrated combination of deep learning and focused ion beam-scanning electron microscopy (FIB-SEM) analytics on Ni/Y2O3-stabilized ZrO2 (Ni/YSZ) cermets. The Ni/YSZ/pore composites were analyzed for the automated extraction of microstructural parameters to prevent the subjective analysis problems and unavoidable artifacts frequently encountered in lengthy image processing tasks and eliminate biased evaluations. Considering the high volume of image data and future expectations for electron microscopy usage, FIB-SEM was efficiently combined with semantic segmentation. Traditional image processing analysis tools are combined with phase separation predictions by semantic segmentation algorithms, leading to a quantitative evaluation of microstructural parameters. The combined strategy enables one to significantly enhance poor image quality originating from artifacts in electron microscopy, including charging effects, curtain effects, out-of-focus problems, and unclear phase boundaries encountered in searching for high-efficiency solid oxide fuel cells (SOFCs).

Process Design and Sustainable Development—A European Perspective

This paper describes the state of the art and future opportunities for process design and sustainable development. In the Introduction, the main global megatrends and the European Union’s response to two of them, the European Green Deal, are presented. The organization of professionals in the field, their conferences, and their publications support the two topics. A brief analysis of the published documents in the two most popular databases shows that the environmental dimension predominates, followed by the economic one, while the social pillar of sustainable development is undervalued. The main design tools for sustainability are described. As an important practical case, the European chemical and process industries are analyzed, and their achievements in sustainable development are highlighted; in particular, their strategies are presented in more detail. The conclusions cover the most urgent future development areas of (i) process industries and carbon capture with utilization or storage; (ii) process analysis, simulation, synthesis, and optimization tools, and (iii) zero waste, circular economy, and resource efficiency. While these developments are essential, more profound changes will be needed in the coming decades, such as shifting away from growth with changes in habits, lifestyles, and business models. Lifelong education for sustainable development will play a very important role in the growth of democracy and happiness instead of consumerism and neoliberalism.

A novel method for locating the source of sustained oscillation in power system using synchrophasors data

Large interconnected power systems are usually subjected to natural oscillation (NO) and forced oscillation (FO). NO occurs due to system transient response and is characterized by several oscillation modes, while FO occurs due to external perturbations driving generation sources. Compared to NO, FO is considered a more severe threat to the safe and reliable operation of power systems. Therefore, it is important to locate the source of FO so corrective actions can be taken to ensure stable power system operation. In this paper, a novel approach based on two-step signal processing is proposed to characterize FO in terms of its frequency components, duration, nature, and the location of the source. Data recorded by the Phasor Measurement Units (PMUs) in a Wide Area Monitoring System (WAMS) is utilized for analysis. As PMU data usually contains white noise and appears as multi-frequency oscillatory signal, the first step is to de-noise the raw PMU data by decomposing it into a series of intrinsic mode functions (IMF) using Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) technique. The most appropriate IMF containing the vital information is selected using the correlation technique. The second step involves various signal processing and statistical analysis tools such as segmented Power Spectrum Density (PSD), excess kurtosis, cross PSD etc. to achieve the desired objectives. The analysis performed on the simulated two-area four-machine system, reduced WECC-179 bus 29 machine system, and the real-time power system PMU data set from ISO New England, demonstrates the accuracy of the proposed method. The proposed approach is independent of complex network topologies and their characteristics, and is also robust against measurement noise usually contained in PMU data.

Business process modeling, implementation, analysis, and management: the case of business process management tools

PurposeSignificant numbers of business process management (BPM) projects fail. Their failure is attributed toward many factors. Among them, low quality of BPM is one reason. Some of the tasks in BPM have their roots in business process reengineering (BPR). The literature has cited many different critical success and failure factors for quality BPM and BPR. Lack of software tools is one of the technology-oriented factors that results in poor BPM and BPR. This paper aims to build a generic feature set offered by software tools for process modeling their analysis implementation and management. It presents an objective analysis in identifying weaknesses and strengths of these tools, primarily for BPM.Design/methodology/approachA method is proposed to evaluate the quality of process reengineering and management delivered by software tools. It consists of four phases: feature extraction, tool selection, data extraction and tool evaluation.FindingsThe data gathered is quantified to test research hypotheses, the results are statistically significant and highlight multiple areas for future improvements. Moreover, the cluster visualizations created also help to understand the strengths and weaknesses of BPM/BPR tools.Research limitations/implicationsDespite the research approach used, there is a chance of subjectivity when it comes to evaluating different tools.Practical implicationsThe paper includes implications for practitioners and researchers for choosing appropriate software tool for process modeling, analysis, implementation and management, matching their requirements with BPM and BPR. It also identifies features that are missing in these tools.Originality/valueThis paper provides a comprehensive analysis of BPM and supporting tools, relates them to key stages of BPM life cycle and BPR methodologies. It also identifies various areas for further development in these tools.

ASCO Quality Training Program: A Five-Year Review.

ASCO introduced the Quality Training Program (QTP) in 2013 with the aim to train oncology professionals to design, implement, and lead successful quality improvement (QI) activities and assume leadership positions to champion culture change in their practices. The QTP is a formal 6-month program taught by QI faculty and mentored by QI coaches over 5 days of in-person learning across 3 sessions and hands-on learning at the participants' practices. Sessions include seminars, case examples, and small-group exercises. Participants attend in multidisciplinary teams and focus on a problem they wish to solve in their practice. Scheduled conference calls with QI coaches are held between sessions. Participants complete pre- and post-QTP surveys (10-point Likert scale, with 1 = no knowledge/competence and 10 = complete knowledge/competence) and provide direct written feedback. Since its inception, QTP has had 15 courses (10 domestic and 5 international) with 120 teams and 544 total participants. QTP is led by an 8-member steering group with 16 faculty and coaches. All postsurvey items showed an increase in knowledge and competence. Each item's score was calculated as the mean difference between before and after scores. Participants stated an increase of 46%-84% (overall mean increase: knowledge, 38%; competence, 37%). The greatest increases were in methodology and practical tools to make changes in practice (writing an aim statement, implementing rapid improvement, using process analysis tools, flowcharting the process). The most common suggestion for improvement was allowing more time for the project. Participants are encouraged to write articles and present work in poster and plenary sessions. QTP courses have led to 7 manuscripts and 21 abstract presentations to national meetings. Six QTP alumni are now QI coaches and faculty. The QTP is a successful QI course for oncology professionals who need to measure performance, investigate quality and safety issues, and implement change. It is the only oncology-focused QI training, as all faculty and coaches are providers and QI specialists with oncology experience, which makes this a unique opportunity. The success will provide further momentum to offer QTP domestically and around the world.

Three-phase electrodes: simple and efficient tool for analysis of ion transfer processes across liquid-liquid interface—twenty years on

In this review, we focus on major achievements of the three-phase electrode methodology applied for studying ion transfers across an interface between two immiscible liquids. Exactly 20 years ago, the group of electrochemists led by Fritz Scholz, invented an elegant and simple set up suitable to get access to the thermodynamics of ion transfers across liquid/liquid interface. Within the last two decades, besides determination of thermodynamics of the transfer of many important ionic substances, three-phase electrodes have been applied for many other purposes. Thermodynamics of interfacial chemical reactions, kinetics of ion and electron transfer, interfacial catalysis, recognition of chiral ions, synthesis of nano-particles, and biosensor development are some of the milestones achieved by application of three-phase electrodes. While elaborating briefly major achievements, future perspectives of this simple, but powerful electrochemical tool, have been also envisaged.

Mathematical Model of Temperature Conditions of Sheet Mills with Furnace Coilers

Determining the temperature of the strip at certain points in the technological line of the mill is very important problem in the development of new and optimization of existing technologies of the sheet rolling process. This article proposes a mathematical model of the temperature conditions of strip rolling on a mill with furnace coilers. The model takes into account the temperature change in the deformation zone during rolling, during transportation of the strip in the mill line, as well as in heating devices, in particular, in the furnaces of coilers of the Steckel mill. It is possible to calculate the change in temperature of the strip on coils and the surface of strip wind up in roll when the coiler furnaces. The mathematical model can be used for engineering calculations, as well as a tool for the scientific analysis of technological processes of sheet rolling.

Freeze-Dried Clopidogrel Loaded Lyotropic Liquid Crystal: Box-Behnken Optimization, In-Vitro and In-Vivo Evaluation.

Clopidogrel (CLP) suffers from extensive first pass metabolism results in a negative impact on its oral systemic bioavailability. Cubosomes are Lyotropic Liquid Crystalline (LLC) nano-systems comprising monoolein, a steric stabilizer and an aqueous system, it considered a promising carrier for different pharmaceutical compounds. Box-Behnken Design (BBD) is an efficient tool for process analysis and optimization skipping forceful treatment combinations. The study was designed to develop freeze-dried clopidogrel loaded LLC (cubosomes) for enhancement of its oral bioavailability. A 33 BBD was adopted, the studied independent factors were glyceryl monooleate (GMO lipid phase), Pluronic F127 (PL F127steric stabilizer) and polyvinyl alcohol powder (stabilizer). Particle Size (PS), Polydispersity Index (PDI) and Zeta Potential (ZP) were set as independent response variables. Seventeen formulae were prepared in accordance with the bottom up approach and in-vitro evaluated regarding PS, PDI and ZP. Statistical analysis and optimization were achieved using design expert software®, then the optimum suggested formula was prepared, in-vitro revaluated, freeze-dried with 3% mannitol (cryoprotectant), solid state characterized and finally packed in hard gelatin capsule for comparative in-vitro release and in-vivo evaluation to Plavix®. Results of statistical analysis of each individual response revealed a quadratic model for PS and PDI where a linear model for ZP. The optimum suggested formula with desirability factor equal 0.990 consisting of (200 mg GMO, 78.15 mg PL F127 and 2% PVA). LC/MS/MS study confirmed significant higher Cmax, AUC0-24h and AUC0-∞ than that of Plavix®. The results confirm the capability of developed carrier to overcome the low oral bioavailability.

Polymer-Coated Fiber Optic Sensor as a Process Analytical Tool for Biopharmaceutical Impurity Detection

Large-scale purification of monoclonal antibodies using Protein A affinity chromatography continues to be one of the dominant processes in the production of biopharmaceuticals. In order to reduce the processing cost, ensure the purity of the product, and enable safe resin reuse, it is important to (a) estimate the quality of these resins, and (b) quantify the process-related impurities. This article presents the possibility of using a sensitive, rugged optical system as a process analysis tool for the assessment of resin fouling by quantification of the impurities like Protein A, host cell proteins (HCPs), and histones present in the elute. We have developed a conducting polymer-coated fiber optic sensor to detect these impurities, a flow cell to bypass the column elute directly toward the sensor, and associated electronics to make it a portable device for onsite applications. Protein A impurities (3 to 100 ng/mL) have been measured in pure buffer samples, while HCPs (100 to 350 ng/mL) and histone impurities (5 ng/mL to $1~\mu \text{g}$ /mL approximately) were detected in composite elute samples. In comparison to enzyme linked immunosorbent assay (ELISA)-based techniques, this low-cost, user-friendly sensing device demonstrates fast detection and high sensitivity for real-time monitoring of all process-related impurities.

Simulación de la concentración e incineración como alternativa para el tratamiento de vinazas

In the present work the possibility of the concentration and incineration of the vinasse obtained in a Cuban rum factory was evaluated as an alternative for its treatment and to generate electricity. Simulation with ASPEN PLUS v7.2 was used as process analysis tool. A simulation model of the concentration process was obtained and models reported by the literature were used to simulate the incineration and generation of electricity. The model was validated with the real data of the process with a maximum validation error 5,5 % for the total condensates. The necessary conditions were determined to increase the final concentration of the vinasse up to 60 ºBrix. The flow of concentrated vinasse was reduced by 48%, the problem of production shutdowns due to the unavailability of stillage storage was solved and 87 kg/h of potassium rich ash and 632 kW of electric power were obtained. Likewise, an economic analysis was carried out that demonstrated the feasibility of applying the proposed technology.

Challenges of fast-track arthroplasty in Germany

While fast-track arthroplasty has been already established in many European countries and the United States, Germany still struggles to introduce appropriate programs. This is due to avariety of reasons. From an organizational and medical scope, the fear of alteration, the adherence to restrictions rooted in historical tradition, the reluctance to interdisciplinary cooperation, and the lack of a willingness to implement externally-guided process analysis tools, stand in the foreground. This is system related, and especially the DRG-system with the continuous devaluation of lump compensation rates in primary hip and knee arthroplasty, also in 2020, hinders the implementation. The resulting fears and concerns that an additional reduction of the length-of-stay by fast-track programs is leading to aconsistent reduction of the DRG returns, are understandable. On the other hand, the disconnectedness of the ambulatory, inpatient and rehabilitation sector in Germany inhibits the introduction of fast-track programs. A well-thought-out change-management is the basic requirement for the successfull establishment of a Fast-Track-Program. Perspectively, a rethinking towards sector-comprehensive care strategies for the implantation of atotal hip or knee replacement, including the required rehabilitation procedures, has to be demanded.

Determination of Bubble Size Distribution Using Ultrasound Array Imaging.

In this article, ultrasonic phased arrays are deployed as an imaging tool for industrial process analysis. Such arrays are typically used for sonar, medical diagnosis, and nondestructive testing; however, they have not yet been applied to industrial process analysis. The precise positioning of array elements and high frequencies possible with this technology mean that highly focused images can be generated, which cannot currently be achieved using ultrasound tomography. This article aims to highlight the potential of this technology for the measurement of bubble size distribution (BSD) and to demonstrate its application to both intrusive and noninvasive process measurements. Ultrasound images of bubble reflectors are generated using the total focusing method deployed using a 32-element, 5-MHz linear phased array, and an image processing algorithm for BSD determination is presented and evaluated under stationary and dynamic acquisition conditions. It is found that the sizing accuracy is within 10% for stationary reflectors larger than 4λ in diameter and that the algorithm is stable across the expected spatial variation of reflectors. The phased array is coupled to a six-axis robotic arm to scan a solid sample containing bubble reflectors at velocities up to 500 mms-1. The sizing accuracy is within 45% for bubbles larger than 4λ in diameter and at velocities up to 300 mms-1. However, above this velocity, the algorithm breaks down for reflectors smaller than 9λ in diameter. The ultrasound system is applied to a stream of air bubbles rising through water, which is verified via photographic analysis. Images were generated both intrusive and noninvasive, via a 10-mm Perspex barrier, to the process stream. The high bubble density in the process stream introduced scattering, limiting the measurement repeatability and the sample size in the measured distribution. Notwithstanding, this result demonstrates the potential of this technology to size bubbles for intrusive and noninvasive process analyses.

Impact of spousal work restrictions on expatriates' work life and overall life satisfaction.

Our understanding of the challenges and the broader role of spouses of expatriates is extremely limited. This study examined the impact of spousal work restrictions on expatriates' work life and overall life satisfaction using qualitative and quantitative analyses based on data from a sample of 409 Indian Information Technology professionals working in USA. Furthermore, hypothesised conditional process model (tested with PROCESS analysis tool) was supported, showing that spousal work restrictions created complications in personal lives of expatriates, which interfered with work lives resulting in lower overall life satisfaction. We identified six core classes of challenges faced by spouses of expatriates: wasted skills, financial issues, boredom, social isolation, quality time and domestic tension. Our mixed method approach also helps to provide a more comprehensive picture of these complications. This study may help organisational leaders and policy makers to more fully consider the implications of visa-related policy changes on expatriate families.

Heat balance analysis in electric arc furnace for process improvement

The current study deals with optimizing the melting process used in electric arc furnace by heat balance equations. Heat balance is a very important aspect in an arc furnace in which the energy input consists of electrical energy [65%], chemical energy [25%] and exothermic reaction heat [10%]. This energy is optimized with the charge mix, charge quantity, fluxes, fuel used, and O2 used in the burners. The present model considers all these aspects and gives heat distribution in the process. The model spreadsheet gives a reasonable prediction in terms of metal yield, composition, and energy consumption. The model also predicts the amount of iron oxidized in the process. The mass and heat balance model is a useful tool for process analysis and improves the process efficiency of electric arc furnace steelmaking.

CSPS: an interactive tool for control design and analysis of processes with industrial characteristics

Abstract This work presents an user friendly interactive tool for control design, simulation and analysis of systems with characteristics commonly found in industry, such as dead time, constraints and measurement noise. The tool is able to validate and compare, in a simple and intuitive way, the performance and robustness of the three control structures most widely used in industrial applications: proportional-integral-derivative (PID), dead-time compensators (DTC), and model predictive control (MPC). Furthermore, the tool provides several options of techniques for handling input and output process constraints. A case study is used to illustrate some of the features of the tool.

Objective opportunity to achieve the goal of CHI based on the analysis of the potential of doctors in the field of dentistry

Purpose of work is to determine the objective possibility of achieving the goal of the CHI program-the protection of the constitutional rights of citizens to receive free quality and affordable dental care based on the analysis of the potential of doctors in the field of dentistry. The study used the materials of the state statistical annual reports of the Ministry of health of the Russian Federation, forms No. 30 and No. 14-MED (CHI). The system of balanced indicators adapted by us served as a tool for effective process analysis of the personnel potential of doctors in the field of dentistry. Incorporating factor for achieving a strategic goal for the system CHI the results of analysis of practice-oriented factors of the potential of specialist doctors dentistry meets up 3.88 points, and the objective possibility of implementation of the CHI in the field of dentistry is 77.6 per cent. This indicator allows to measure the degree of success of the CHI system in the present and future and is intended for management as a decision-making tool in the process of personnel management.