DP System Research Articles

Comparison of the effects of crizotinib as monotherapy and as combination therapy with butyric acid on different breast cancer cells.

In recent years, there have been significant developments using combined therapies in cancer treatment. The present study aimed to determine the effects of using crizotinib alone and in combination with butyric acid on different types of breast cancer cells. A total of three different breast cancer models were used: MDA-MB-231, a triple negative model; MCF-7, a Luminal A model; and SKBR-3 cell line, a human epidermal growth factor receptor 2 positive model. In the experiments, proliferation rates and cell index values were obtained using the xCELLigence RTCA DP System, and mitotic index, bromodeoxyuridine labeling index and caspase activity were evaluated as cell kinetics parameters. The results showed that while proliferation rates, cell index values, mitotic index and bromodeoxyuridine labeling index decreased, caspase activity values increased. These results demonstrated that the combined application was more effective than the monotherapy application and could be used at lower concentrations than those drugs applied as monotherapy.

Polyphyllin I enhances tumor necrosis factor-related apoptosis-inducing ligand-induced inhibition of human osteosarcoma cell growth downregulating the Wnt/β-catenin pathway.

To investigate the synergistic effects of polyphyllin I (PPI) combined with tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) on the growth of osteosarcoma cells through downregulating the Wnt/β-catenin signaling pathway. Cell viability, apoptosis and cell cycle distribution were examined using cell counting kit-8 and flow cytometry assays. The morphology of cancer cells was observed with inverted phase contrast microscope. The migration and invasion abilities were examined by xCELLigence real time cell analysis DP system and transwell assays. The expressions of poly (adenosine diphosphate-ribose) polymerase, C-Myc, Cyclin B1, cyclin-dependent kinases 1, N-cadherin, Vimentin, Active-β-catenin, β-catenin, p-glycogen synthase kinase 3β (GSK-3β) and GSK-3β were determined by Western blotting assay. PPI sensitized TRAIL-induced decrease of viability, migration and invasion, as well as increase of apoptosis and cell cycle arrest of MG-63 and U-2 OS osteosarcoma cells. The synergistic effect of PPI with TRAIL in inhibiting the growth of osteosarcoma cells was at least partially realized through the inactivation of Wnt/β-catenin signaling pathway. The combination of PPI and TRAIL is potentially a novel treatment strategy of osteosarcoma.

Digitally improving UK police surveillance and incidence response using real-time crowd reporting app: Digipolice

Overtime, evolving technologies has made ways of monitoring and controlling crime and action in the United Kingdom (UK) become more challenging which needs optimization with the help of technologies. Also with the rate of crime across cities in the UK like mass shootings, murder and gang gun battles, the UK Police system within localities are overwhelmed or may not efficiently cope with crime alerts and incidences coming in at increasing frequencies. However looking in the area of real time crowd reporting, there is need to leverage technology to enhance public safety, improve incident response, and foster community engagement. This necessitated the aim of this study to develop a digital policing surveillance app for crowd reporting in the UK. By utilizing digital policing surveillance apps, the aim is to improve crowd management capabilities by enabling real-time reporting of incidents and observations from both the public and law enforcement personnel. This was positioned to facilitate better situational awareness, efficient resource allocation, and effective response strategies. To achieve the objectives, Python Programming Language 3.8 were deployed together with a Django Framework and a Microsoft Visual Studio Build Tools. In the DP system, the Model-View-Controller (MVC) pattern, which divides an application into three interconnected components—the model, the view, and the controller—was used for the architectural design of the system. For the database, Django's ORM makes it simple to support many databases, and in this project straightforward SQLite3 database were utilised which is ideal for small-footprint applications. Using WebSockets to establish real-time, bidirectional communication between web clients and servers, the user interface and intelligence board for the system were developed. A clean designed frontend design system with Bootstrap version 5—an open-source, reusable design framework created by Twitter—was selected for its easy user interface. The system was put through 50 concurrent load tests with actual users swarming the app since the DP app was subjected to hundreds of people complaining in real time. 2. The host computer had a Core i5 vPro CPU running at 4GHz and 4GB of RAM. The result shows that 50 users successfully generated an average of 29.7 requests per second. The system scaled up nicely to 50 users and reached its highest response time of 2600 milliseconds (2.6 seconds) in total. A dramatic rise in activity and a longer response time occurred after there were more than 50 users. The system could not operate at its peak efficiency with 100 users because response times were inconsistent and exceeded 7000 milliseconds (7 seconds) for each request. The effectiveness of the online deployment was evaluated with respectable results, and the system requirements also underwent successful testing. The appropriate investigation of ethical issues was done to meet requirements. DigiPolice has the potential to develop into a cutting-edge programme for real-time crowd surveillance and incident reporting. UK Police can employ it to as advancement to its “My Police” with as fast-track real-time and collaborative crowd reporting enhancements.

Comparative physiological, metabolomic and transcriptomic analyses reveal the mechanisms of differences in pear fruit quality between distinct training systems

BackgroundCanopy architecture is critical in determining the fruit-zone microclimate and, ultimately, in determining an orchard’s success in terms of the quality and quantity of the fruit produced. However, few studies have addressed how the canopy environment leads to metabolomic and transcriptomic alterations in fruits. Designing strategies for improving the quality of pear nutritional components relies on uncovering the related regulatory mechanisms.ResultsWe performed an in-depth investigation of the impact of canopy architecture from physiological, metabolomic and transcriptomic perspectives by comparing pear fruits grown in a traditional freestanding system (SP) or a flat-type trellis system (DP). Physiological studies revealed relatively greater fruit sizes, soluble solid contents and titratable acidities in pear fruits from DP systems with open canopies. Nontargeted metabolite profiling was used to characterize fruits at the initial ripening stage. Significant differences in fruit metabolites, including carbohydrates, nucleic acids, alkaloids, glycerophospholipids, sterol lipids, and prenol lipids, were observed between the two groups. Transcriptomic analysis indicated that a series of organic substance catabolic processes (e.g., the glycerol-3-phosphate catabolic process, pectin catabolic process and glucan catabolic process) were overrepresented in fruits of the DP system. Moreover, integrative analysis of the metabolome and transcriptome at the pathway level showed that DP pear fruits may respond to the canopy microenvironment by upregulating phenylpropanoid biosynthesis pathway genes such as PpPOD. Transient assays revealed that the contents of malic acid and citric acid were lower in the pear flesh of PpPOD RNAi plants, which was associated with regulating the expression of organic acid metabolism-related genes.ConclusionsOur results provide fundamental evidence that at the physiological and molecular levels, open-canopy architecture contributes to improving pear fruit quality and is correlated with increased levels of carbohydrates and lipid-like molecules. This study may lead to the development of rational culture practices for enhancing the nutritional traits of pear fruits.

Dual‐Loop Control Design for Dynamic Positioning Ships with Prescribed Performance

AbstractDynamic positioning (DP) system is an advanced positioning system widely used in various special operation ships, and the design of control strategies to cope with different constraint conditions is the core technology of DP system research. In this study, a novel dual‐loop control law is proposed to effectively tackle the control challenges encountered by DP ships, particularly in the presence of input saturation and error constraints. Firstly, a saturation handling model is designed to avoid input saturation in the system. Subsequently, a dual‐loop DP control scheme is developed. The outer‐loop is responsible for the ship's position and heading control, while concurrently providing the command velocity signal essential for the inner‐loop. Specifically, a prescribed performance control strategy is designed in the outer‐loop to ensure precise control over positioning errors within predefined ranges and achieve desirable transient and steady‐state performance. The inner‐loop controls the ship's velocity signal, in which a feedback control law is designed based on Hamilton‐Jacobi‐Issacs (HJI) inequality to estimate generalized faults of the DP system. Finally, the proposed control law is validated through numerical simulations on a 76.2 m supply ship, demonstrating superior transient and steady‐state performance compared to existing methods.

Digital Pathology – From Slides to Screen

The term ‘Digital Pathology’ (DP) is used to denote digitisation efforts in pathology. DP can be defined as the digitalisation of gross and microscopic tissue specimens. Digital slides are created by scanning glass slides with a scanning device to provide high-resolution digital images that can then be managed, analysed, distributed and stored as digital images. Whole slide imaging helps to get high-resolution digital slides, the pathologist can scan the slides rapidly and focus by zooming in and out on the monitor using the keyboard, mouse, or his/her finger and gather information to make the diagnosis. These images are an accurate representation of the scanned glass slide and in some applications; they may be more valuable than the actual glass slides in terms of image resolution and ease of identification of specific diagnostic features. Digital imaging can be subdivided into two classes, that is, the digital microscopes to create a digital image and diagnosis-aided systems to detect the region of interest and give a presumptive diagnosis. The various benefits of using DP are similar in concordance in diagnosis as with glass slides with rapid access to second opinion, archiving and retrieval of slide images are much easier, and case histories and diagnostic information can be easily shared and retrieved. Another important field is the medical education, for graduates and postgraduate students, where difficult and rare cases can be shared and stored. The integration of clinical, laboratory and radiology data with pathology images, applying artificial intelligence (AI) for correlation is called computational pathology, which is the future of diagnostics. However, DP still has to deal with issues such as large data storage, high initial investment, confidentiality and lack of standardisation. These issues are being dealt with and newer solutions are being discussed. DP has started to expand and there are many well-established DP companies working towards the advanced diagnostic skills for pathologists and building the required business framework to support the development of precision medicine. Few biopharmaceutical companies and top clinical research organisations have adopted the concept of DP to streamline their drug development processes. DP can be relevant with the advent of assays such as markers or multiplex, which are difficult to discern with the human eye. With the increased use of exponential technologies such as AI and machine learning, enhanced translational research, computer-aided diagnosis and personalised medicine is expected to grow in the near future. After a DP system has been successfully deployed and integrated, the possibilities are immense. It is assumed that DP is not meant for taking pathologists out of the picture, infact with the emerging data analytics tools, DP will undoubtedly allow pathologists to make a more accurate and consistent diagnosis in the near future.

Marine Power System Thrust Distribution Based on Grey Wolf Optimization Algorithm

The ocean is rich in Marine minerals and other resources. To make effective use of these resources, it is indispensable to have good resource exploration and mining equipment, and more attention is paid to ship control methods. A dynamic positioning system can control the position and head of the ship. Thrust distribution is an important part of the DP system, and its performance will have a significant influence on the reliability and accuracy of the system. To settle this matter, a ship thrust distribution method based on the grey Wolf optimization algorithm is offered. Aiming at the research of thrust distribution of ship DP system, a dynamic positioning simulation model is established, which is combined with the grey Wolf optimization algorithm. The results show that the control effect is good.

The role of phoenixin in the proliferation and migration of ectopic epithelial cells in vitro

AimEndometriosis is one of the most common gynecologic diseases in women of reproductive age. The pathophysiology of endometriosis is still not fully understood. Phoenixin (PNX-14) is a newly discovered neuropeptide that regulates the hypothalamo–pituitary–gonadal (HPG) axis and reproductive functions. Recently, we reported that PNX-14, its precursor protein and receptor were expressed in human endometrium. Moreover, PNX-14 serum levels in endometriosis were reduced. This study aimed to evaluate the in vitro biological functions of physiological PNX-14 concentrations on the ectopic endometrium Z12 cells. MethodsThe proliferation and migration of Z12 cells were assessed using the xCELLigence® RTCA DP system following 72 h of stimulation with 0.05 and 0.2 nM of PNX-14. GPR173 and small integral membrane protein 20 (SMIM20) gene expression was evaluated using quantitative polymerase chain reaction (qPCR) and the protein levels of GPR173 were analyzed using Western blot analysis. ResultsPNX-14 at the concentration observed in the serum of patients with endometriosis (0.05 nM) reduced GPR173 and increased SMIM20 expression, while protein levels of GPR173 remained unchanged. Cell proliferation was increased by the 0.02 nM PNX-14— the concentration found in healthy subjects. The 0.2 nM of PNX-14 decreased SMIM20 expression with no change to GPR173 expression and reduced ectopic epithelial cell proliferation during the first 5 h after stimulation. However, at 72 h, the proliferation increased. ConclusionsThis study shows that PNX-14 at endometriosis specific concentration desensitized ectopic epithelium to PNX-14, and increased the expression of SMIM20 to restore the physiological levels of PNX-14.

Modeling and controller design of an offshore wind service operation vessel with parallel active motion compensated gangway

The parallel active motion compensated gangway of offshore wind service operation vessel (SOV) is an emerging technology to control the large motion during the transfer process of staff and equipment. The low frequency responses of surge, sway, and yaw motion of SOV are controlled by the DP system, and the other corresponding residual motion responses of the SOV are compensated by the active parallel platform. The modeling and controller design is proposed considering the coupled SOV and the active parallel platform in time domain. The Cummins equation is solved to obtain the motion responses of SOV, and the state-space model is used to replace the convolution part through the system identification method for the fast solution of control algorithm, which is verified by the Bode diagram. The lower surface of active parallel platform is fixed on the SOV, and its responses are obtained by filtering and coordinating transformation of SOV motion responses. The length of each electric cylinder is calculated in real-time by the inverse kinematics of active parallel platform to achieve the motion requirements of upper surface, and the limiting significant wave height of the SOV is determined.

Composite hierarchical anti-disturbance control for dynamic positioning system of ships based on robust wave filter

The composite hierarchical anti-disturbance control (CHADC) strategy is investigated for dynamical position system of ships(DP) with multiple disturbances, which include slowly varying environmental disturbances, first-order wave-induced disturbances and additional disturbances. The ship’s velocities and the slowly varying environmental disturbances are estimated by designing state observer and disturbance observer, respectively. Subsequently, a robust wave filter (RWF) is constructed to deal with the first-order wave-induced disturbances, which assures a prescribed performance level for the filter error system. The CHADC strategy is proposed by integrating stochastic disturbance observer-based control (DOBC) theory, RWF method with H∞ control, such that high control accuracy of the DP system can be realized. Efficacy of the proposed control strategy is illustrated through the example of a supply ship.

Regulation and Release of Vasoactive Endoglin by Brain Endothelium in Response to Hypoxia/Reoxygenation in Stroke.

In large vessel occlusion stroke, recanalization to restore cerebral perfusion is essential but not necessarily sufficient for a favorable outcome. Paradoxically, in some patients, reperfusion carries the risk of increased tissue damage and cerebral hemorrhage. Experimental and clinical data suggest that endothelial cells, representing the interface for detrimental platelet and leukocyte responses, likely play a crucial role in the phenomenon referred to as ischemia/reperfusion (I/R)-injury, but the mechanisms are unknown. We aimed to determine the role of endoglin in cerebral I/R-injury; endoglin is a membrane-bound protein abundantly expressed by endothelial cells that has previously been shown to be involved in the maintenance of vascular homeostasis. We investigated the expression of membranous endoglin (using Western blotting and RT-PCR) and the generation of soluble endoglin (using an enzyme-linked immunosorbent assay of cell culture supernatants) after hypoxia and subsequent reoxygenation in human non-immortalized brain endothelial cells. To validate these in vitro data, we additionally examined endoglin expression in an intraluminal monofilament model of permanent and transient middle cerebral artery occlusion in mice. Subsequently, the effects of recombinant human soluble endoglin were assessed by label-free impedance-based measurement of endothelial monolayer integrity (using the xCELLigence DP system) and immunocytochemistry. Endoglin expression is highly inducible by hypoxia in human brain endothelial monolayers in vitro, and subsequent reoxygenation induced its shedding. These findings were corroborated in mice during MCAO; an upregulation of endoglin was displayed in the infarcted hemispheres under occlusion, whereas endoglin expression was significantly diminished after transient MCAO, which is indicative of shedding. Of note is the finding that soluble endoglin induced an inflammatory phenotype in endothelial monolayers. The treatment of HBMEC with endoglin resulted in a decrease in transendothelial resistance and the downregulation of VE-cadherin. Our data establish a novel mechanism in which hypoxia triggers the initial endothelial upregulation of endoglin and subsequent reoxygenation triggers its release as a vasoactive mediator that, when rinsed into adjacent vascular beds after recanalization, can contribute to cerebral reperfusion injury.

Data Processing System Based on Computer

With the popularization of computer and Internet, software technology, signal processing technology and real-time processing technology have been applied to all aspects of life, which has caused a surge of data. Therefore, big data (hereinafter referred to as BD) has become the focus of attention all over the world, which requires improving data application and processing technology. Through BD, countries can obtain corresponding knowledge, which will improve the software and comprehensive application of BD. With the in-depth study of deep learning algorithm, we can continuously improve the application of BD, which is a Data Processing (hereinafter referred to as DP) method with high precision, fast speed, flexible use and strong scalability. Through the DP system, we can realize the post demodulation and processing of signals in various equipment, which can achieve the state of data availability. In many ways, we can obtain the required knowledge through the DP system, which will improve the processing ability of the computer. Firstly, this paper puts forward the challenges faced by BD. Then, this paper analyzes the algorithms in DP. Finally, this paper designs a DP system.

Dynamic positioning analysis and comfort assessment for the early design stage of large yachts

In some specific environmentally protected areas, conventional mooring systems cannot be used by large yachts for stationing at anchor and therefore, the adoption of a dynamic positioning system is required. It becomes then necessary to evaluate the station keeping capabilities of a yacht since the early-design stage. Adopting a quasi-static approach, it is possible to perform a standard capability analysis, as commonly done for the offshore industry, obtaining a capability plot as output. However, capability plots are referring to specific wind-wave correlation that are not covering all the possible wave combinations present in a sea area. Here, it is proposed to use a scatter diagram approach for the dynamic positioning analysis of a large yacht, considering the specific sea areas where the yacht shall operate, in order to figure out the downtime period of the DP system per each sea area. The proposed method can be coupled with traditional ship motions analysis, leading to a combination between comfort assessment and DP predictions. In the present work, use has been made of a traditional displacement yacht 72 m long, comparing five different DP system configurations and evaluating an enhanced comfort ranking combining ISO AWI-22834 guidelines for large yachts with ISO AWI-22822 DP analysis.

SLLB-DEVS: An Approach for DEVS Based Modeling of Semiconductor Lithography Load Balance

In industrial applications, software related to computational lithography using a DP system method, which refers to how efficiently hardware resources are used, has a significant impact on performance. Because the amount of data to be processed per unit of time is comparatively large in the current semiconductor industry, the efficiency of hardware should be increased through job 12 scheduling by using the most efficient load balancing techniques possible. For efficient scheduling of the load balancer, these are necessary to predict the end time of a given job; this is calculated based on the performance of computing resources and the development of effective traffic distribution algorithms. Due to the high integration of semiconductor chips, the volume of mask exposure data has increased exponentially, the number of slave nodes is increasing, and most EDA tools require one license per DP node to perform a simulation. In this paper, in order to improve efficiency and reduce cost through more efficient load balancing scheduling, a new type of DEVS load balancing method was studied based on the existing industrial E-beam cluster model. The designed DEVS model showed up to four times the throughput of the existing legacy model for medium and large clusters when the BSF policy was applied.

Pendulation control for dynamical positioning capable ship; considerations on actuator usage

Abstract Ship-mounted cranes are used in the offshore industry for, among others, placement of wind turbine components. The pendulation of the load can be decreased with (active) tugger lines. This allows for larger operational weather conditions. In this work we investigate the effect on the actuator usage when the pendulation controller and the ship’s dynamic positioning (dp) system are combined. This is done by comparing three situations: i) tightly tuned dp system with independent pendulation control, ii) dp system tuned based on the pendulation controller, and iii) integration of both controllers. The controllers are all designed with the H2 control methodology. Which disturbances should be countered, and which are ignored is explicitly specified, and allows us to indicate that the dp system should not act on the high frequency wave forces, while the pendulation controller should. For a fair comparison, the design penalties are modified such that the load variance is equal in all cases. A frequency domain comparison and a set of detailed time domain simulation shows that extra system information can be used to minimise the actuator usage. The majority of the savings is attained by tuning the pendulation controller and the dp system such that the dp system has as low as possible bandwidth, while still countering low-frequency second order wave effects and saturation of the swing controller. Furthermore, for the pendulation controller’s actuator usage, the integration of the controllers helps to minimise its high frequency contents.

Numerical analysis of the Cargo Transfer Vessel offloading operation in a Brazilian oil field

In a new concept of offloading operation, the oil from a spread moored FPSO is transferred to a conventional Tanker with an intermediate Cargo Transfer Vessel (CTV) equipped with a DP system. A comprehensive numerical analysis of the CTV offloading operation is here developed considering the sea states in the Libra Field, Brazil. First, the environmental loads on the vessels were estimated. Current and wind forces coefficients were obtained using the CFD software StarCCM+, while wave coefficients were obtained using WAMIT. For the 10-year metocean data, the multi-body static equilibrium configurations of the system – composed of the CTV, Conventional Tanker and Tugboat - were calculated. With those results, it was possible to estimate the downtime considering different offloading sectors and to compare with the DP Shuttle Tanker operation. Finally, a 5-day campaign of real-time simulations was carried out with the presence of DP Operators and captains, to verify critical conditions, considering the human factor. Each vessel was simulated in an individual cabin. For the simulations, the real DP System was integrated with the numerical simulator in a Hardware-in-the-loop configuration, resulting in a more realistic simulation.

Comparative physiological and transcriptomic analysis of pear leaves under distinct training systems

Canopy architecture is critical in determining the light interception and distribution, and subsequently the photosynthetic efficiency and productivity. However, the physiological responses and molecular mechanisms by which pear canopy architectural traits impact on photosynthesis remain poorly understood. Here, physiological investigations coupled with comparative transcriptomic analyses were performed in pear leaves under distinct training systems. Compared with traditional freestanding system, flat-type trellis system (DP) showed higher net photosynthetic rate (PN) levels at the most time points throughout the entire monitored period, especially for the interior of the canopy in sunny side. Gene ontology analysis revealed that photosynthesis, carbohydrate derivative catabolic process and fatty acid metabolic process were over-represented in leaves of DP system with open-canopy characteristics. Weighted gene co-expression network analysis uncovered a significant network module positive correlated with PN value. The hub genes (PpFKF1 and PpPRR5) of the module were enriched in circadian rhythm pathway, suggesting a functional role for circadian clock genes in mediating photosynthetic performance under distinct training systems. These results draw a link between pear photosynthetic response and specific canopy architectural traits, and highlight light harvesting and circadian clock network as potential targets for the input signals from the fluctuating light availability under distinct training systems.

A Comparative Analysis of Classifiers Within the DP System

A Comparative Analysis of Classifiers Within the DP System

Analysed power quality of electrical system ahts vessel

A number of power quality issues including electrical harmonics, poor power factor, and voltage instability and imbalance impact on the efficiency of electrical equipment. To support that equipment operates optimally, electrical power is generated must be have good quality. This study has a purpose to examine the power quality of electrical system AHTS (Anchor Handling Tug Supply) vessel. This research was done by quantitative method. Computational techniques used by the software of Total Harmonic Distortion (THD), which shares characteristics and Electrochemical Impedance Spectroscopy (EIS). The result of this analysis indicated that Electrical system in VM INPOSH REGENT have quality power very good of utility systems during full way condition, however during maneuver, there was a particularly high harmonic from non-linier devices used as motor control, which functional a role propulsion. Based on the result above, it can be concluded that after filtering so that harmonic can correct until perimeter secure ABS standard, system is very good during maneuver long site and maneuver on DP system.

Novel coupled DP system for fuzzy C-means clustering and image segmentation

This study proposed a novel fuzzy c-means clustering method which calculates the density of the data points based on the weighted mean distance (WMFCM). A novel coupled DNA-GA and P system (DP system) is introduced to realize the clustering process. The evolutional rules in the coupled DP system can help the WMFCM algorithm jump out of the local optimum and get the initial clustering centers. The performance of the coupled DP system in dealing with fuzzy clustering problems is measured by conducting experimental analysis on UCI datasets and BSDS300 image datasets. And the experimental results are compared with several popular algorithms. Experimental results show that our algorithm can perform better than other algorithms.