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Building digital experience platforms : a guide to developing next-generation enterprise applications
Use digital experience platforms (DXP) to improve your development productivity and release timelines. Leverage the pre-integrated feature sets of DXPs in your organization's digital transformation journey to quickly develop a personalized, secure, and robust enterprise platform. In this book the authors examine various features of DXPs and provide rich insights into building each layer in a digital platform. Proven best practices are presented with examples for designing and building layers. A special focus is provided on security and quality attributes needed for business-critical enterprise applications. The authors cover modern and emerging digital trends such as Blockchain, IoT, containers, chatbots, artificial intelligence, and more. The book is divided into five parts related to requirements/design, development, security, infrastructure, and case study. The authors employ proven real-world methods, best practices, and security and integration techniques derived from their rich experience. An elaborate digital transformation case study for a banking application is included.
Book
Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies
Microphysiological systems (MPSs) are
in vitro
models that capture facets of
in vivo
organ function through use of specialized culture microenvironments, including 3D matrices and microperfusion. Here, we report an approach to co-culture multiple different MPSs linked together physiologically on re-useable, open-system microfluidic platforms that are compatible with the quantitative study of a range of compounds, including lipophilic drugs. We describe three different platform designs – “4-way”, “7-way”, and “10-way” – each accommodating a mixing chamber and up to 4, 7, or 10 MPSs. Platforms accommodate multiple different MPS flow configurations, each with internal re-circulation to enhance molecular exchange, and feature on-board pneumatically-driven pumps with independently programmable flow rates to provide precise control over both intra- and inter-MPS flow partitioning and drug distribution. We first developed a 4-MPS system, showing accurate prediction of secreted liver protein distribution and 2-week maintenance of phenotypic markers. We then developed 7-MPS and 10-MPS platforms, demonstrating reliable, robust operation and maintenance of MPS phenotypic function for 3 weeks (7-way) and 4 weeks (10-way) of continuous interaction, as well as PK analysis of diclofenac metabolism. This study illustrates several generalizable design and operational principles for implementing multi-MPS “physiome-on-a-chip” approaches in drug discovery.
Journal Article
Polishing pressure investigations of robot automatic polishing on curved surfaces
In order to improve the quality of the robot automatic polishing on curved surfaces and ensure the constant polishing pressure during polishing process, the polishing platform was built and the polishing process was studied. According to the Preston equation and Hertz theory, the relation model between removal rate and polishing pressure was established. The importance of constant polishing pressure control was analyzed, and the model of polishing pressure control was established. At the same time, the main factors influencing polishing pressure were discussed and experiments were carried out. The results indicate that the generation algorithm of the position and posture for robot polishing tool, instead of the traditional complex teaching process on the robot, was proposed based on force-position-posture decouple control, which realizes the robot automatic polishing similar to experienced constant pressure manual polishing. Through the force analysis of the sensor measurement, the gravity compensation algorithm of the polishing tool was put forward, which was used to eliminate the interference caused by gravity during machining to accomplish the stable control of polishing pressure. During the automatic polishing process with constant pressure control algorithm, the consistency of polishing pressure was better than that of without force control. Not only is the machining allowance removal uniform, but also the surface quality is greatly improved. The experimental system platform can control the polishing pressure during the polishing process independently, automatically, and in real-time, and accomplish ultra precise, efficient, low-cost polishing on curved surfaces.
Journal Article
Analytical quality by design methodology for botanical raw material analysis: a case study of flavonoids in Genkwa Flos
The present study introduces a systematic approach using analytical quality by design (AQbD) methodology for the development of a qualified liquid chromatographic analytical method, which is a challenge in herbal medicinal products due to the intrinsic complex components of botanical sources. The ultra-high-performance liquid chromatography-photodiode array-mass spectrometry (UHPLC-PDA-MS) technique for 11 flavonoids in Genkwa Flos was utilized through the entire analytical processes, from the risk assessment study to the factor screening test, and finally in method optimization employing central composite design (CCD). In this approach, column temperature and mobile solvent slope were found to be critical method parameters (CMPs) and each of the eleven flavonoid peaks’ resolution values were used as critical method attributes (CMAs) through data mining conversion formulas. An optimum chromatographic method in the design space was calculated by mathematical and response surface methodology (RSM). The established chromatographic condition is as follows: acetonitrile and 0.1% formic acid gradient elution (0–13 min, 10–45%; 13–13.5 min, 45–100%; 13.5–14 min, 100–10%; 14–15 min, 10% acetonitrile), column temperature 28℃, detection wavelength 335 nm, and flow rate 0.35 mL/min using C
18
(50 × 2.1 mm, 1.7 μm) column. A validation study was also performed successfully for apigenin 7-
O
-glucuronide, apigenin, and genkwanin. A few important validation results were as follows: linearity over 0.999 coefficient of correlation, detection limit of 2.87–22.41, quantitation limit of 8.70–67.92, relative standard deviation of precision less than 0.22%, and accuracy between 100.13 and 102.49% for apigenin, genkwanin, and apigenin 7-
O
-glucuronide. In conclusion, the present design-based approach provide a systematic platform that can be effectively applied to ensure pharmaceutically qualified analytical data from complex natural products based botanical drug.
Journal Article
Research on E-commerce Visual Marketing Analysis Based on Internet Big Data
Through the construction of the e-commerce vision system platform and the use of big data, the behavioural analysis of the customer groups of similarly designed products is carried out to solve the related problems in visual marketing. According to the characteristics of the user groups, the series of products are pushed out design service. Based on the current research summary of e-commerce platform marketing, the article aims at optimizing the e-commerce platform system and conducts comprehensive research from the cross perspective of marketing theory and visual design. Let the visual design system achieve precise services, promote local traditional industry e-commerce marketing conditions, achieve proactive adaptation to the new normal of economic development, and provide a reference for future design service innovation in the new era.
Journal Article
Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things
With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.
Journal Article
Design of an Adaptive Sidelobe Cancellation Algorithm for Radar
In complex electromagnetic interference environments, adaptive sidelobe cancellation is an effective measure to suppress radar active jamming. It adopts spatial filtering technology, which can effectively suppress sidelobe interference[1]. In this paper, the basic theory of adaptive sidelobe cancellation system is introduced, and two commonly used algorithms are briefly introduced. In practical application, the cancellation effect decreases due to many factors. In order to improve the performance of adaptive sidelobe cancellation, this paper proposes a method of adaptive acquisition of interference sampling data, and uses this method to simulate and analyze the collected jamming data. Now the device function is becoming more and more powerful, and the system hardware platform has also developed rapidly. Compared with the traditional method, this new interference data sampling method has certain advantages and is of practical significance. At the same time, the problems that should be paid attention to in engineering implementation are put forward.
Journal Article
Advances in In situ microfracture experimentation techniques: A case of nanoscale metal–metal multilayered materials
Plasticity and fracture of materials at the nanoscale levels can deviate significantly from the same phenomena in bulk properties, which may have important implications if they are to be used in real-world engineering systems. Nanoscale metal–metal multilayered materials provide a model material system platform to understand plasticity and fracture based on dislocation interactions with microstructural features. Recently, there is a growing trend to understand the fracture of multilayered materials to see the interactions between the crack and multilayered interface through novel experimentation techniques. In this review, we will introduce the rationale, the current microfracture methods to test and analyze the multilayer fracture behavior and the challenges faced in performing them. Four examples of in situ fracture techniques are highlighted in this work through tensile testing of film on a substrate: microfracture clamped beam bending technique across the multilayers and delamination along the multilayered interface.
Journal Article
Architecture Design of Teenager Mental Health Evaluation System Based on High Concurrency and High Availability
In order to solve the problem of high concurrency and stability of real-time collection and analysis of teenager mental health data, this paper proposes a high concurrency and high availability system architecture based on Docker container, choreography and deployment technology and artificial fish swarm algorithm. To solve the problem of low efficiency of Kubernetes default scheduling algorithm, this paper designs a parallel scheduling algorithm using artificial fish swarm algorithm. The experimental results show that the parallel scheduling algorithm is effective. For the complexity of container redundant operation, this paper designs a microservice rank scheme. Combined with AFS-FCM algorithm, the microservice rank of the system platform is determined, so that the redundant equipment can be automatically optimized for high availability.
Journal Article
Designing Moodle features as e-learning for learning mathematics in COVID-19 pandemic
Technology plays a significant role in the process of teaching and learning mathematics in the COVID-19 pandemic. Moodle is software with an open-source system e-learning platform designed to help educators to create quality for resources and communication tools online courses in learning mathematics. The objects of the research are to know the teachers' need analysis about e-learning like Moodle, the framework features of the Moodle as e-learning learning for learning mathematics in the COVID-19 pandemic and get the best features of the Moodle. The research methodology used a qualitative descriptive approach. The collecting data used questionnaires for the mathematics teachers in one of the schools. The research subjects were fourth-grade teachers consist of eight teachers as mathematics teachers from three private schools in Indonesia. The result of this research was the teachers need e-learning like Moodle in teaching and learning mathematics, the features of Moodle for learning mathematics was different with another Moodle, and the teachers believed the Moodle could facilitate them in teaching and learning mathematics in COVID-19 pandemic.
Journal Article