Journal articles: 'Next Generation Flow'

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Janes, Matthew R., and Christian Rommel. "Next-generation flow cytometry." Nature Biotechnology 29, no. 7 (July 2011): 602–4. http://dx.doi.org/10.1038/nbt.1919.

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Linton, Jim, and Shane W. Oram. "Next-Generation Flow Sorting." Genetic Engineering & Biotechnology News 33, no. 12 (June 15, 2013): 30–31. http://dx.doi.org/10.1089/gen.33.12.13.

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Montpetit, Michael L., Timothy Gleeson, and Francis F. Mandy. "Flow molecular cytobiology: The next generation?" Clinical Immunology Newsletter 18, no. 11-12 (November 1998): 135–39. http://dx.doi.org/10.1016/s0197-1859(00)89062-7.

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Narayan, Sri R., Archith Nirmalchandar, Advaith Murali, Bo Yang, Lena Hoober-Burkhardt, Sankarganesh Krishnamoorthy, and G. K. Surya Prakash. "Next-generation aqueous flow battery chemistries." Current Opinion in Electrochemistry 18 (December 2019): 72–80. http://dx.doi.org/10.1016/j.coelec.2019.10.010.

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Mountfort, Katrina. "Next Generation FFR Microcatheter Technology." Interventional Cardiology Review 12, no. 02 (2017): 2. http://dx.doi.org/10.15420/icr.2017:12:2.s1.

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Fractional flow reserve (FFR) is the mainstay of functional haemodynamic assessment of coronary artery lesions, guiding decisions in percutaneous coronary interventions (PCI). The RXi® rapid exchange FFR system, featuring an ultrathin monorail pressure microcatheter (Navvus™) has the potential to simplify PCI procedures. Data from two studies sponsored by ACIST Medical Systems evaluating the clinical utility of the microcatheter system were presented at EuroPCR, which took place over 16–19 May 2017 in Paris. Early data from the FFR-Stent Evaluated at Rotterdam Cardiology Hospital (FFR-SEARCH) registry have indicated that post-PCI, almost half of patients have FFR values below 0.90 even when stent placement appears fine on angiography. This registry is noteworthy for including a high proportion of unstable patients. The Assessment of Catheter-based Interrogation and Standard Techniques for Fractional Flow Reserve measurement (ACIST-FFR) study has shown that the microcatheter system provides a modestly lower FFR value compared with the traditional pressure wire, and an independent predictor of a difference between the two is the physiological severity of the lesion as measured by the Navvus microcatheter, meaning that the clinical impact of the difference is minimal for most measurements. These findings add to the growing body of evidence in support of the microcatheter FFR system and have prompted further research into optimising procedures.

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Galbraith, David. "Flow cytometry and cell sorting: The next generation." Methods 57, no. 3 (July 2012): 249–50. http://dx.doi.org/10.1016/j.ymeth.2012.08.010.

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Huang, Qizhao, and Qing Wang. "Next-Generation, High-Energy-Density Redox Flow Batteries." ChemPlusChem 80, no. 2 (July 25, 2014): 312–22. http://dx.doi.org/10.1002/cplu.201402099.

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Oliver, Gavin R., Steven N. Hart, and Eric W. Klee. "Bioinformatics for Clinical Next Generation Sequencing." Clinical Chemistry 61, no. 1 (January 1, 2015): 124–35. http://dx.doi.org/10.1373/clinchem.2014.224360.

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Abstract BACKGROUND Next generation sequencing (NGS)-based assays continue to redefine the field of genetic testing. Owing to the complexity of the data, bioinformatics has become a necessary component in any laboratory implementing a clinical NGS test. CONTENT The computational components of an NGS-based work flow can be conceptualized as primary, secondary, and tertiary analytics. Each of these components addresses a necessary step in the transformation of raw data into clinically actionable knowledge. Understanding the basic concepts of these analysis steps is important in assessing and addressing the informatics needs of a molecular diagnostics laboratory. Equally critical is a familiarity with the regulatory requirements addressing the bioinformatics analyses. These and other topics are covered in this review article. SUMMARY Bioinformatics has become an important component in clinical laboratories generating, analyzing, maintaining, and interpreting data from molecular genetics testing. Given the rapid adoption of NGS-based clinical testing, service providers must develop informatics work flows that adhere to the rigor of clinical laboratory standards, yet are flexible to changes as the chemistry and software for analyzing sequencing data mature.

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Karunkuzha, D., and D. C. Tomar. "Traffic Flow Analysis Based Flow Control Mechanism for next Generation Network." Information Technology Journal 12, no. 7 (March 15, 2013): 1439–43. http://dx.doi.org/10.3923/itj.2013.1439.1443.

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Özgen-Xian, Ilhan, Xilin Xia, Qiuhua Liang, Reinhard Hinkelmann, Dongfang Liang, and Jingming Hou. "Innovations towards the next generation of shallow flow models." Advances in Water Resources 149 (March 2021): 103867. http://dx.doi.org/10.1016/j.advwatres.2021.103867.

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Gedenk, Eric. "Researchers Mine Information from Next-Generation Subsurface Flow Simulations." Computing in Science & Engineering 18, no. 1 (January 2016): 88–91. http://dx.doi.org/10.1109/mcse.2016.15.

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Vrána, Jan, Hana Šimková, Marie Kubaláková, Jarmila Číhalíková, and Jaroslav Doležel. "Flow cytometric chromosome sorting in plants: The next generation." Methods 57, no. 3 (July 2012): 331–37. http://dx.doi.org/10.1016/j.ymeth.2012.03.006.

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Zhang, Changkun, Leyuan Zhang, Yu Ding, Sangshan Peng, Xuelin Guo, Yu Zhao, Gaohong He, and Guihua Yu. "Progress and prospects of next-generation redox flow batteries." Energy Storage Materials 15 (November 2018): 324–50. http://dx.doi.org/10.1016/j.ensm.2018.06.008.

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Bastos, Marcelo B., Maarten P. van Wiechen, and Nicolas M. Van Mieghem. "PulseCath iVAC2L: next-generation pulsatile mechanical circulatory support." Future Cardiology 16, no. 2 (March 2020): 103–12. http://dx.doi.org/10.2217/fca-2019-0060.

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Contemporary state of the art percutaneous coronary intervention techniques offer treatment strategies and solutions to an increasing number of patients with heart failure and complex coronary artery disease. Percutaneous mechanical circulatory support is intended to alleviate the mechanical and energetic workload imposed to a failing ventricle by reducing left ventricle pressures and volumes and potentially also increasing coronary blood flow. The PulseCath iVAC2L is a transaortic left ventricular assist device that applies a pneumatic driving system to produce pulsatile forward flow. Herein, the essential aspects regarding iVAC2L are discussed with focus on its mechanisms of action and the available clinical experience.

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Medina, Alejandro, Cristina Jiménez, Noemi Puig, Juan Flores-Montero, Bruno Paiva, M. Eugenia Sarasquete, Isabel Prieto-Conde, et al. "Prognostic implications of MRD assessment in multiple myeloma patients: comparison of Next-Generation Sequencing and Next-Generation Flow." Clinical Lymphoma Myeloma and Leukemia 19, no. 10 (October 2019): e47. http://dx.doi.org/10.1016/j.clml.2019.09.071.

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Ke, Xinyou, Joseph M. Prahl, J. Iwan D. Alexander, Jesse S. Wainright, Thomas A. Zawodzinski, and Robert F. Savinell. "Rechargeable redox flow batteries: flow fields, stacks and design considerations." Chemical Society Reviews 47, no. 23 (2018): 8721–43. http://dx.doi.org/10.1039/c8cs00072g.

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Liu, Zach, and Nikolay Dimov. "Monitoring AML Disease Status with Next Generation Sequencing." Blood 128, no. 22 (December 2, 2016): 5261. http://dx.doi.org/10.1182/blood.v128.22.5261.5261.

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Abstract Recent advance in next generation sequencing (NGS) have confirmed that AML is a heterogeneous malignancy harboring may many genetic mutations. These mutations have been studied for leukemia genesis, diagnosis and therapeutic targets. Monitoring minimal residual diseases has also been studied recently. We summarized our experience with NGS in morning AML disease status. NGS data during 2014 and 2016 from patient with newly diagnosed or AML and/or AML follow-up patients along with bone marrow biopsy, FISH/cytogenetics, flow cytometric results were reviewed. Targeted sequencing was performed with customized panel (34 genes) on Ion PGM platform from Life Technology Inc. 41 AML patients with complete bone marrow work-up with bone marrow morphology, flow cytometry, FISH/cytogenetics (MFFC) and NGS were collected. At least one sample with complete work-up for each patient was included. Majority of the patients had several studies (2-8 samples). 15 out of 41 (36.6%) has complete remission based on bone marrow morphology, flow cytometry, FISH/cytogenetic studies. No mutations were detected among these 15 patients. 17 patients (41%) showed concordant result with other technologies, i.e. when the patient was in remission based on MFFC, No mutations were detected. When patient had recurrent AML or residual disease, mutations were detected. It worth to point out that 2 patients showed positive mutation without detectable increase in myeloblasts. These 2 patients had relapsed AML within 3 months. Different subclones were detected at different intervals in 1 patient. 2 (0.5%) patients (1 with newly diagnosed AML and 1 with early recurrent AML) showed no detectable mutations. Mutations were detected in 5 patients (12%) with AML remission by MFFC, additional follow-up is need for these patients. The most common mutations included TET2, ASXL1, DNMT3A, RUNX1, IDH1 and TP53. NGS is valuable to assess the AML status despite of heterogeneous genetic abnormalities. Although the NGS results were concordant with bone marrow morphology, FISH/cytogenetics and flow cytometry in most of the cases (87.5%), persistent mutations may be detectable in cases without detectable residual AML by other modalities, which may be associated with minimal residual disease or early relapse, and need further evaluation. Clonal evaluation may occur at molecular level occasionally. Disclosures No relevant conflicts of interest to declare.

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Yeo, Hwasoo, Alexander Skabardonis, John Halkias, James Colyar, and Vassili Alexiadis. "Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation." Transportation Research Record: Journal of the Transportation Research Board 2088, no. 1 (January 2008): 68–79. http://dx.doi.org/10.3141/2088-08.

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Joung, Jinoo, Jongtae Song, and Soonseok Lee. "Flow-Based QoS Management Architectures for the Next Generation Network." ETRI Journal 30, no. 2 (April 8, 2008): 238–48. http://dx.doi.org/10.4218/etrij.08.1107.0006.

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Thielke, Michael W., Gengyu Tian, and Ana Jorge Sobrido. "Sustainable electrodes for the next generation of redox flow batteries." Journal of Physics: Materials 5, no. 2 (March 9, 2022): 024004. http://dx.doi.org/10.1088/2515-7639/ac5753.

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Abstract The development of alternative energy storage technologies is key to advance renewable energy resources. Among them, redox flow batteries (RFBs) have been identified to be one of the most promising technologies in the field of stationary batteries. The carbon-based electrodes in these batteries are a crucial component and play an important part in achieving high efficiency and performance. A further leap into this direction is the design of fossil-free materials by incorporating sustainable alternative resources as the carbon component in the processing of the electrodes. The use of biomass as carbon precursor for electrode applications has also been a focus of research for other energy storage devices and in the case of RFBs, it has become an emergent topic in recent years. This short review presents the recent advances in the design of biomass-derived carbon materials as electrodes in RFBs, strategies to enhance their electrocatalytic properties, challenges, and future outlook in the design of sustainable electrode materials.

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Narayan, S. R., Advaith Murali, Bo Yang, Archith Nirmalchandar, and G. K. Surya Prakash. "(Invited) Challenges and Prospects for Next Generation Redox Flow Batteries." ECS Meeting Abstracts MA2020-01, no. 1 (May 1, 2020): 56. http://dx.doi.org/10.1149/ma2020-01156mtgabs.

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Baclig, Antonio C., Victoria Ng, Devi Ganapathi, Emily E. Penn, and William C. Chueh. "Eutectic Mixing As a Knob for Next-Generation Flow Batteries." ECS Meeting Abstracts MA2020-02, no. 2 (November 23, 2020): 207. http://dx.doi.org/10.1149/ma2020-022207mtgabs.

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Kourounis, Drosos, Alexander Fuchs, and Olaf Schenk. "Toward the Next Generation of Multiperiod Optimal Power Flow Solvers." IEEE Transactions on Power Systems 33, no. 4 (July 2018): 4005–14. http://dx.doi.org/10.1109/tpwrs.2017.2789187.

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Huang, Qizhao, and Qing Wang. "ChemInform Abstract: Next-Generation, High-Energy-Density Redox Flow Batteries." ChemInform 46, no. 14 (March 19, 2015): no. http://dx.doi.org/10.1002/chin.201514344.

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Titze, Ingo R., and Jorge C. Lucero. "Voice Simulation: The Next Generation." Applied Sciences 12, no. 22 (November 18, 2022): 11720. http://dx.doi.org/10.3390/app122211720.

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Simulation of the acoustics and biomechanics of sound production in humans and animals began half a century ago. The three major components are the mechanics of tissue under self-sustained oscillation, the transport of air from the lungs to the lips, and the propagation of sound in the airways. Both low-dimensional and high-dimensional computer models have successfully predicted control of pitch, loudness, spectral content, vowel production, and many other features of speaking and singing. However, the problems of computational efficiency, validity, and accuracy have not been adequately addressed. Low-dimensional models are often more revealing of nonlinear phenomena in coupled oscillators, but the simplifying assumptions are not always validated. High-dimensional models can provide more accuracy, but interpretations of results are sometimes clouded by computational redundancy and uncertainty of parameters. The next generation will likely combine pre-calculations and machine learning with abbreviated critical calculations.

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Nourian, Amir, Ghasem G. Nasr, Andrew J. Yule, Tom Goldberg, and Greig Tulloch. "Next generation of consumer aerosol valve design using inert gases." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 16 (November 17, 2014): 2952–76. http://dx.doi.org/10.1177/0954406214559998.

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The current global consumer aerosol products such as deodorants, hairsprays, air-fresheners, polish, insecticide, disinfectant are primarily utilised unfriendly environmental propellant of liquefied petroleum gas (LPG) for over three decades. The advantages of the new innovative technology described in this paper are: (i) no butane or other liquefied hydrocarbon gas; (ii) compressed air, nitrogen or other safe gas propellant; (iii) customer acceptable spray quality and consistency during can lifetime; (iv) conventional cans and filling technology. Volatile organic compounds and greenhouse gases must be avoided but there are no flashing propellants replacements that would provide the good atomisation and spray reach. On the basis of the energy source for atomising, the only feasible source is inert gas (i.e. compressed air), which improves atomisation by gas bubbles and turbulence inside the atomiser insert of the actuator. This research concentrates on using ‘bubbly flow’ in the valve stem, with injection of compressed gas into the passing flow, thus also generating turbulence. Using a vapour phase tap in conventional aerosol valves allows the propellant gas into the liquid flow upstream of the valve. However, forcing bubbly flow through a valve is not ideal. The novel valves designed here, using compressed gas, thus achieved the following objectives when the correct combination of gas and liquid inlets to the valve, and the type and size of atomiser ‘insert’ were derived: Produced a consistent flow rate and drop size of spray throughout the life of the can, compatible with the current conventional aerosols that use LPG: a new ‘constancy’ parameter is defined and used to this end. Obtained a discharge flow rate suited to the product to be sprayed; typically between 0.4 g/s and 2.5 g/s. Attained the spray droplets size suited to the product to be sprayed; typically between 40 µm and 120 µm.

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Rousseaux, Germain, and Hamid Kellay. "Classical hydrodynamics for analogue space–times: open channel flows and thin films." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2177 (July 20, 2020): 20190233. http://dx.doi.org/10.1098/rsta.2019.0233.

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Here we review the way to build analogue space–times in open channel flows by looking at the flow phase diagram and the corresponding analogue experiments performed during the last years in the associated flow regimes. Thin films like the circular jump with different dispersive properties are discussed with the introduction of a brand new system for the next generation of analogue gravity experiments: flowing soap films with their capillary/elastic waves. This article is part of a discussion meeting issue ‘The next generation of analogue gravity experiments’.

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Obara, Hiromichi, Takayuki Yamaguchi, Naoto Matsuno, Takayuki Morito, Tomokazu Numano, Norio Sekine, Shin Enosawa, and Hiroshi Mizunuma. "1204 Hepatic perfusion flow analysis for next generation of medical treatments." Proceedings of the Fluids engineering conference 2014 (2014): _1204–1_—_1204–2_. http://dx.doi.org/10.1299/jsmefed.2014._1204-1_.

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Perkel, J. M. "LIFE SCIENCE TECHNOLOGIES: EBB AND FLOW: Cytometry For The Next Generation." Science 330, no. 6005 (November 4, 2010): 853. http://dx.doi.org/10.1126/science.330.6005.853.

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Paiva, Bruno, Noemi Puig, Maria-Teresa Cedena, Laura Rosiñol, Lourdes Cordón, María-Belén Vidriales, Leire Burgos, et al. "Measurable Residual Disease by Next-Generation Flow Cytometry in Multiple Myeloma." Journal of Clinical Oncology 38, no. 8 (March 10, 2020): 784–92. http://dx.doi.org/10.1200/jco.19.01231.

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PURPOSE Assessing measurable residual disease (MRD) has become standard with many tumors, but the clinical meaning of MRD in multiple myeloma (MM) remains uncertain, particularly when assessed by next-generation flow (NGF) cytometry. Thus, we aimed to determine the applicability and sensitivity of the flow MRD-negative criterion defined by the International Myeloma Working Group (IMWG). PATIENTS AND METHODS In the PETHEMA/GEM2012MENOS65 trial, 458 patients with newly diagnosed MM had longitudinal assessment of MRD after six induction cycles with bortezomib, lenalidomide, and dexamethasone (VRD), autologous transplantation, and two consolidation courses with VRD. MRD was assessed in 1,100 bone marrow samples from 397 patients; the 61 patients without MRD data discontinued treatment during induction and were considered MRD positive for intent-to-treat analysis. The median limit of detection achieved by NGF was 2.9 × 10−6. Patients received maintenance (lenalidomide ± ixazomib) according to the companion PETHEMA/GEM2014MAIN trial. RESULTS Overall, 205 (45%) of 458 patients had undetectable MRD after consolidation, and only 14 of them (7%) have experienced progression thus far; seven of these 14 displayed extraosseous plasmacytomas at diagnosis and/or relapse. Using time-dependent analysis, patients with undetectable MRD had an 82% reduction in the risk of progression or death (hazard ratio, 0.18; 95% CI, 0.11 to 0.30; P < .001) and an 88% reduction in the risk of death (hazard ratio, 0.12; 95% CI, 0.05 to 0.29; P < .001). Timing of undetectable MRD (after induction v intensification) had no impact on patient survival. Attaining undetectable MRD overcame poor prognostic features at diagnosis, including high-risk cytogenetics. By contrast, patients with Revised International Staging System III status and positive MRD had dismal progression-free and overall survivals (median, 14 and 17 months, respectively). Maintenance increased the rate of undetectable MRD by 17%. CONCLUSION The IMWG flow MRD-negative response criterion is highly applicable and sensitive to evaluate treatment efficacy in MM.

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Kim, S. M., N. Yang, S. Ryu, D. Jeong, J. Yun, K. Lim, S. M. Hwang, S. S. Yoon, and D. S. Lee. "PS1423 NEXT-GENERATION SEQUENCING STUDY OF V(D)J REARRANGEMENTS ON NON-CR PATIENTS SHOWING MRD NEGATIVITY BY NEXT-GENERATION FLOW." HemaSphere 3, S1 (June 2019): 655. http://dx.doi.org/10.1097/01.hs9.0000563968.00426.fb.

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Neupane, Jyoti, Joe Mari Maja, Gilbert Miller, Michael Marshall, Matthew Cutulle, Jeremy Greene, Jun Luo, and Edward Barnes. "The Next Generation of Cotton Defoliation Sprayer." AgriEngineering 5, no. 1 (February 22, 2023): 441–59. http://dx.doi.org/10.3390/agriengineering5010029.

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Chemical spraying is one of the most important and frequently performed intercultural agricultural operations. It is imperative to select the appropriate spraying technology as a selection of ineffective one leads to the wastage of a considerable volume of applied chemicals to the non-target area. Many precision technologies have been developed in the past few decades, such as image processing based on real-time variable-rate chemical spraying systems, autonomous chemical sprayers using machine vision and nozzle control, and use of unmanned aerial and ground vehicles. Cotton defoliation is a natural physiological process, but untimely and inadequate leaf defoliation by natural process hinders the mechanical cotton harvest. Induced defoliation is practiced by applying defoliants to address the issue with the natural process of defoliation. This paper covers spraying technologies in agriculture, cotton plants, cotton defoliation, new defoliant spraying systems, and the recent field test. The new spraying system attached to an autonomous mobile robot aims to improve the delivery of defoliant chemicals by adding a spray unit on the side of the plant. Preliminary results of the water-sensitive paper test at the field showed adequate penetration with low flow rates. This is a huge development as there is a huge potential to save on the cost of applying defoliant chemicals.

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Campbell, W. R. "Concepts for the Past and Next Generation of Machine Monitoring." Shock and Vibration Digest 26, no. 5 (September 1, 1994): 15–17. http://dx.doi.org/10.1177/058310249402600505.

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Demertzis, Konstantinos, Panayiotis Kikiras, Nikos Tziritas, Salvador Sanchez, and Lazaros Iliadis. "The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence." Big Data and Cognitive Computing 2, no. 4 (November 22, 2018): 35. http://dx.doi.org/10.3390/bdcc2040035.

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A Security Operations Center (SOC) can be defined as an organized and highly skilled team that uses advanced computer forensics tools to prevent, detect and respond to cybersecurity incidents of an organization. The fundamental aspects of an effective SOC is related to the ability to examine and analyze the vast number of data flows and to correlate several other types of events from a cybersecurity perception. The supervision and categorization of network flow is an essential process not only for the scheduling, management, and regulation of the network’s services, but also for attacks identification and for the consequent forensics’ investigations. A serious potential disadvantage of the traditional software solutions used today for computer network monitoring, and specifically for the instances of effective categorization of the encrypted or obfuscated network flow, which enforces the rebuilding of messages packets in sophisticated underlying protocols, is the requirements of computational resources. In addition, an additional significant inability of these software packages is they create high false positive rates because they are deprived of accurate predicting mechanisms. For all the reasons above, in most cases, the traditional software fails completely to recognize unidentified vulnerabilities and zero-day exploitations. This paper proposes a novel intelligence driven Network Flow Forensics Framework (NF3) which uses low utilization of computing power and resources, for the Next Generation Cognitive Computing SOC (NGC2SOC) that rely solely on advanced fully automated intelligence methods. It is an effective and accurate Ensemble Machine Learning forensics tool to Network Traffic Analysis, Demystification of Malware Traffic and Encrypted Traffic Identification.

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Karp, Jacob Alexander, Katherine Gillis, Lisa Salow, David Dickey, Young Cho, and Charitha Madiraju. "Training Next-Generation Immunologists on GuavaÒ MuseÒ Cell Analyzer Platform." Journal of Immunology 204, no. 1_Supplement (May 1, 2020): 222.10. http://dx.doi.org/10.4049/jimmunol.204.supp.222.10.

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Abstract Immunology research in an academia setting is competitive and is especially challenging at any new professional program or new research laboratory. Faculty with start-up laboratories, welcome students into Biomedical Sciences research and in due course often seek for scientific collaborations. One such collaborative initiatives involved partnership between a non-profit academic research laboratory and Luminex, a biotechnology company that has a wide range of technological platforms including flow cytometers. This collaborative project is part of Research & Scholarship course (also called R&S course series) for PharmD students interested in Immunology research. The goal of the collaborative effort is to provide an opportunity for hands-on training of next generation immunologists on MuseÒ Cell Analyzer technology and proprietary kits/products designed for immunology and cell health analysis. R&S students are trained by their research faculty on an innovative microcapillary-based benchtop flow cytometer. Enrollment into Immunology-based research projects would entail students to train with a faculty mentor, conduct literature review on the assigned project, critically think about a research hypothesis, design methods, perform data analysis, arrive at a reasonably valid conclusion, and present a poster showcasing their results at an R&S poster day and/or other scientific conferences. Benchtop flow cytometry-based immunological and cell health assays relevant to R&S students’ research project and their execution using kits from Luminex are presented.

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Okuducu, Mahmut Burak, and Mustafa M. Aral. "Toward the Next Generation of Passive Micromixers: A Novel 3-D Design Approach." Micromachines 12, no. 4 (March 30, 2021): 372. http://dx.doi.org/10.3390/mi12040372.

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Passive micromixers are miniaturized instruments that are used to mix fluids in microfluidic systems. In microchannels, combination of laminar flows and small diffusion constants of mixing liquids produce a difficult mixing environment. In particular, in very low Reynolds number flows, e.g., Re < 10, diffusive mixing cannot be promoted unless a large interfacial area is formed between the fluids to be mixed. Therefore, the mixing distance increases substantially due to a slow diffusion process that governs fluid mixing. In this article, a novel 3-D passive micromixer design is developed to improve fluid mixing over a short distance. Computational Fluid Dynamics (CFD) simulations are used to investigate the performance of the micromixer numerically. The circular-shaped fluid overlapping (CSFO) micromixer design proposed is examined in several fluid flow, diffusivity, and injection conditions. The outcomes show that the CSFO geometry develops a large interfacial area between the fluid bodies. Thus, fluid mixing is accelerated in vertical and/or horizontal directions depending on the injection type applied. For the smallest molecular diffusion constant tested, the CSFO micromixer design provides more than 90% mixing efficiency in a distance between 260 and 470 µm. The maximum pressure drop in the micromixer is found to be less than 1.4 kPa in the highest flow conditioned examined.

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Wang, Qingqing, Li Yao, Mingqing Zhu, Lingzhi Yan, Song Jin, Jingjing Shang, Xiaolan Shi, et al. "Comparison of Next-Generation Flow Cytometry (NGF) and Next-Generation Sequencing (NGS) in the Assessment of Minimal Residual Disease in Multiple Myeloma." Blood 140, Supplement 1 (November 15, 2022): 7249–50. http://dx.doi.org/10.1182/blood-2022-157270.

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Lu, Wenjing, Xianfeng Li, and Huamin Zhang. "The next generation vanadium flow batteries with high power density – a perspective." Physical Chemistry Chemical Physics 20, no. 1 (2018): 23–35. http://dx.doi.org/10.1039/c7cp07456e.

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Verma, S. C., Fujihiro Yamada, Yasuyuki Kunii, Fukashi Ueda, Kenichi Kuroda, Masashi Kitayama, and Yoshiyuki Kono. "Study on Rotary Loop Flow Controller for the Next Generation Distribution System." IEEJ Transactions on Power and Energy 136, no. 6 (2016): 577–83. http://dx.doi.org/10.1541/ieejpes.136.577.

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Umer, Muhammad Fahad, Muhammad Sher, and Yaxin Bi. "A two-stage flow-based intrusion detection model for next-generation networks." PLOS ONE 13, no. 1 (January 12, 2018): e0180945. http://dx.doi.org/10.1371/journal.pone.0180945.

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Mirzahosseini, Mohammadreza, Yacoub M. Najjar, Amir H. Alavi, and Amir H. Gandomi. "Next-Generation Models for Evaluation of the Flow Number of Asphalt Mixtures." International Journal of Geomechanics 15, no. 6 (December 2015): 04015009. http://dx.doi.org/10.1061/(asce)gm.1943-5622.0000483.

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Byon, Hye Ryung. "(Invited) Designing Organic and Organometallic Materials for Next-Generation Redox Flow Batteries." ECS Meeting Abstracts MA2020-02, no. 2 (November 23, 2020): 216. http://dx.doi.org/10.1149/ma2020-022216mtgabs.

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VERMA, S. C., FUJIHIRO YAMADA, YASUYUKI KUNII, FUKASHI UEDA, KENICHI KURODA, MASASHI KITAYAMA, and YOSHIYUKI KONO. "Study on Rotary Loop Flow Controller for the Next-Generation Distribution System." Electrical Engineering in Japan 199, no. 1 (December 15, 2016): 11–18. http://dx.doi.org/10.1002/eej.22951.

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Scicchitano, Pietro, and Marco Matteo Ciccone. "Next-Generation Approaches to Echocardiography: Clinical Perspectives." Applied Sciences 13, no. 1 (December 24, 2022): 227. http://dx.doi.org/10.3390/app13010227.

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The application of imaging to cardiovascular diseases fosters the diagnosis, clinical management, and risk stratification of patients, thus leading to the early detection of cardiac and vascular diseases [...]

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Voelkerding, Karl V., Shale A. Dames, and Jacob D. Durtschi. "Next-Generation Sequencing: From Basic Research to Diagnostics." Clinical Chemistry 55, no. 4 (April 1, 2009): 641–58. http://dx.doi.org/10.1373/clinchem.2008.112789.

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Abstract Background: For the past 30 years, the Sanger method has been the dominant approach and gold standard for DNA sequencing. The commercial launch of the first massively parallel pyrosequencing platform in 2005 ushered in the new era of high-throughput genomic analysis now referred to as next-generation sequencing (NGS). Content: This review describes fundamental principles of commercially available NGS platforms. Although the platforms differ in their engineering configurations and sequencing chemistries, they share a technical paradigm in that sequencing of spatially separated, clonally amplified DNA templates or single DNA molecules is performed in a flow cell in a massively parallel manner. Through iterative cycles of polymerase-mediated nucleotide extensions or, in one approach, through successive oligonucleotide ligations, sequence outputs in the range of hundreds of megabases to gigabases are now obtained routinely. Highlighted in this review are the impact of NGS on basic research, bioinformatics considerations, and translation of this technology into clinical diagnostics. Also presented is a view into future technologies, including real-time single-molecule DNA sequencing and nanopore-based sequencing. Summary: In the relatively short time frame since 2005, NGS has fundamentally altered genomics research and allowed investigators to conduct experiments that were previously not technically feasible or affordable. The various technologies that constitute this new paradigm continue to evolve, and further improvements in technology robustness and process streamlining will pave the path for translation into clinical diagnostics.

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McNally, Ruth, Adrian Mackenzie, Allison Hui, and Jennifer Tomomitsu. "Understanding the ‘Intensive’ in ‘Data Intensive Research’: Data Flows in Next Generation Sequencing and Environmental Networked Sensors." International Journal of Digital Curation 7, no. 1 (March 9, 2012): 81–94. http://dx.doi.org/10.2218/ijdc.v7i1.216.

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Genomic and environmental sciences represent two poles of scientific data. In the first, highly parallel sequencing facilities generate large quantities of sequence data. In the latter, loosely networked remote and field sensors produce intermittent streams of different data types. Yet both genomic and environmental sciences are said to be moving to data intensive research. This paper explores and contrasts data flow in these two domains in order to better understand how data intensive research is being done. Our case studies are next generation sequencing for genomics and environmental networked sensors.Our objective was to enrich understanding of the ‘intensive’ processes and properties of data intensive research through a ‘sociology’ of data using methods that capture the relational properties of data flows. Our key methodological innovation was the staging of events for practitioners with different kinds of expertise in data intensive research to participate in the collective annotation of visual forms. Through such events we built a substantial digital data archive of our own that we then analysed in terms of three traits of data flow: durability, replicability and metrology.Our findings are that analysing data flow with respect to these three traits provides better insight into how doing data intensive research involves people, infrastructures, practices, things, knowledge and institutions. Collectively, these elements shape the topography of data and condition how it flows. We argue that although much attention is given to phenomena such as the scale, volume and speed of data in data intensive research, these are measures of what we call ‘extensive’ properties rather than intensive ones. Our thesis is that extensive changes, that is to say those that result in non-linear changes in metrics, can be seen to result from intensive changes that bring multiple, disparate flows into confluence.If extensive shifts in the modalities of data flow do indeed come from the alignment of disparate things, as we suggest, then we advocate the staging of workshops and other events with the purpose of developing the ‘missing’ metrics of data flow.

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Awoyemi, B. S., A. S. Alfa, and B. T. Maharaj. "Network Restoration for Next-Generation Communication and Computing Networks." Journal of Computer Networks and Communications 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/4134878.

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Network failures are undesirable but inevitable occurrences for most modern communication and computing networks. A good network design must be robust enough to handle sudden failures, maintain traffic flow, and restore failed parts of the network within a permissible time frame, at the lowest cost achievable and with as little extra complexity in the network as possible. Emerging next-generation (xG) communication and computing networks such as fifth-generation networks, software-defined networks, and internet-of-things networks have promises of fast speeds, impressive data rates, and remarkable reliability. To achieve these promises, these complex and dynamic xG networks must be built with low failure possibilities, high network restoration capacity, and quick failure recovery capabilities. Hence, improved network restoration models have to be developed and incorporated in their design. In this paper, a comprehensive study on network restoration mechanisms that are being developed for addressing network failures in current and emerging xG networks is carried out. Open-ended problems are identified, while invaluable ideas for better adaptation of network restoration to evolving xG communication and computing paradigms are discussed.

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Borodinov, Andrew, Vladimir Manoilov, Igor Zarutsky, Alexander Petrov, Vladimir Kurochkin, and Aleksey Saraev. "Machine Learning in Base-Calling for Next-Generation Sequencing Methods." Informatics and Automation 21, no. 3 (May 13, 2022): 572–603. http://dx.doi.org/10.15622/ia.21.3.5.

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The development of next-generation sequencing (NGS) technologies has made a significant contribution to the trend of reducing costs and obtaining massive sequencing data. The Institute for Analytical Instrumentation of the Russian Academy of Sciences is developing a hardware-software complex for deciphering nucleic acid sequences by the method of mass parallel sequencing (Nanofor SPS). Image processing algorithms play an essential role in solving the problems of genome deciphering. The final part of this preliminary analysis of raw data is the base-calling process. Base-calling is the process of determining a nucleotide base that generates the corresponding intensity value in the fluorescence channels for different wavelengths in the flow cell image frames for different synthesis sequencing runs. An extensive analysis of various base-calling approaches and a summary of the common procedures available for the Illumina platform are provided. Various chemical processes included in the synthesis sequencing technology, which cause shifts in the values of recorded intensities, are considered, including the effects of phasing / prephasing, signal decay, and crosstalk. A generalized model is defined, within which possible implementations are considered. Possible machine learning (ML) approaches for creating and evaluating models that implement the base-calling processing stage are considered. ML approaches take many forms, including unsupervised learning, semi-supervised learning, and supervised learning. The paper shows the possibility of using various machine learning algorithms based on the Scikit-learn platform. A separate important task is the optimal selection of features identified in the detected clusters on a flow cell for machine learning. Finally, a number of sequencing data for the MiSeq Illumina and Nanofor SPS devices show the promise of the machine learning method for solving the base-calling problem.

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Natori, Kenji, Kouhei Yoshikawa, Hidemine Obara, and Yukihiko Sato. "Fundamental Control Methods for Power Flow Control in Next-Generation DC Power Networks." IEEJ Transactions on Industry Applications 136, no. 4 (2016): 277–84. http://dx.doi.org/10.1541/ieejias.136.277.

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Tanaka, Toru, Yoshinori Takahashi, Kenji Natori, and Yukihiko Sato. "High-Efficiency Floating Bidirectional Power Flow Controller for Next-Generation DC Power Network." IEEJ Journal of Industry Applications 7, no. 1 (2018): 29–34. http://dx.doi.org/10.1541/ieejjia.7.29.

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Journal articles on the topic 'Next Generation Flow'

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