Displaying publications 21 - 40 of 74 in total

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  1. Geospeciation of arsenic using MINTEQA2 for a post-mining lake
    Sari SA, Ujang Z, Ahmad UK
    Water Sci Technol, 2006;54(11-12):289-99.
    PMID: 17302332
    The objective of this study was to investigate the cycling of arsenic in the water column of a post-mining lake. This study is part of a research project to develop health risk assessment for the surrounding population. Inductively Coupled Plasma-Mass Spectrophotometer (ICP-MS) and Capillary Electrophoresis (CE) have been used to analyze the total amount and speciation, respectively. A computer program, called MINTEOA2, which was developed by the United States Environmental Protection Agency (USEPA) was used for predicting arsenic, iron, and manganese as functions of pH and solubility. Studying the pH values and cycle of arsenic shows that the percentage of bound arsenate, As(V) species in the form of HAsO4- increases with range pH from 5 to 7, as well as Fe(II) and Mn(III). As expected phases of arsenic oxides are FeAsO4 and Mn3(AsO4), as a function of solubility, however none of these phases are over saturated and not precipitated. It means that the phases of arsenic oxides have a high solubility.
    Matched MeSH terms: Automation/methods
  2. Intelligent microscopic approach for identification and recognition of citrus deformities
    Safdar A, Khan MA, Shah JH, Sharif M, Saba T, Rehman A, et al.
    Microsc Res Tech, 2019 Sep;82(9):1542-1556.
    PMID: 31209970 DOI: 10.1002/jemt.23320
    Plant diseases are accountable for economic losses in an agricultural country. The manual process of plant diseases diagnosis is a key challenge from last one decade; therefore, researchers in this area introduced automated systems. In this research work, automated system is proposed for citrus fruit diseases recognition using computer vision technique. The proposed method incorporates five fundamental steps such as preprocessing, disease segmentation, feature extraction and reduction, fusion, and classification. The noise is being removed followed by a contrast stretching procedure in the very first phase. Later, watershed method is applied to excerpt the infectious regions. The shape, texture, and color features are subsequently computed from these infection regions. In the fourth step, reduced features are fused using serial-based approach followed by a final step of classification using multiclass support vector machine. For dimensionality reduction, principal component analysis is utilized, which is a statistical procedure that enforces an orthogonal transformation on a set of observations. Three different image data sets (Citrus Image Gallery, Plant Village, and self-collected) are combined in this research to achieving a classification accuracy of 95.5%. From the stats, it is quite clear that our proposed method outperforms several existing methods with greater precision and accuracy.
    Matched MeSH terms: Automation, Laboratory/methods
  3. Could an automated machine replace the pharmacist?
    Khan MU, Ahmad A, Malik S, Balkrishnan R
    Res Social Adm Pharm, 2016 11 18;13(2):399.
    PMID: 27884658 DOI: 10.1016/j.sapharm.2016.10.019
    Matched MeSH terms: Automation*
  4. Fulltext Smart Bran Dispenser for Animal Husbandry Purpose
    Muhammad Alif Azanuddin Alias, Nur Athirah Mohd Taib, Nurul Nadia Adnan
    Malaysian Journal of Science, Health & Technology, 2021;7(1):56-61.
    MyJurnal
    The creation of technology in this century changes people’s life. Technology plays an important role that benefits young people and has increased agriculture production’s efficiency and profitability. Innovative technology mainly involved in animal feeding automation is currently one of Smart Bran Dispensers’ new inventions. This project approaches an innovative animal husbandry management system to improve the agricultural system’s efficiency, particularly livestock nutrition and feed resources. The benefit of this project is to facilitate animal feeding for breeders, which can be remotely controlled and detected by a tracking module that transmits a signal to the user and informs them of the status of the bran dispenser through the Blynk server. NodeMCU ESP8266 and Arduino UNO were implemented as the main controller.
    Matched MeSH terms: Automation
  5. Fulltext Product structure initialization, the bottleneck of ERP implementation in customer driven environments: a case study
    Niestanak, S. Abedi, Faieza, A.A., Sulaiman, S., Rosnah, M.Y.
    Pertanika Journal of Science & Technology, 2011;19(1):77-92.
    MyJurnal
    This study of the implementation of enterprise resource planning (ERP) in a customer driven environment analyzes the critical success factors throughout the initialization phase. The dynamic and stochastic nature of customer driven environments results in a massive workload of product structure configuration tasks related to new arrivals on one hand and a constant updating process on the other. Meanwhile, the development and implementation of an ERP system was studied from the very first step (i.e. the feasibly study for implementing an ERP) to the last step (i.e. testing the outputs of the implemented system) in an office furniture company for three years. The study involved analyzing of the data collected that were from a series of interviews, as well as direct observations and reviewing of the company’s documents. Based on the output of the analysis phase, a top-down hierarchical analysis of goals and CSFs were carried out according to the CSF analysis method. Three top level objectives included reducing project failure risk, project cost, and project time. Analysing the primary results of the study (i.e. activity model, data flow diagram DFD of different levels, system problems and potential solutions descriptions, etc.) revealed that the critical phase of the implementation project would be product structure initialization and this should be taken into consideration as the bottleneck of production planning in customer driven environment, which dramatically reduced the ERP efficiency in this kind of environment. Moreover, initializing issues of the same process is the main obstacle to the success of the ERP implementation, as it considerably raises the project failure risk and cost. Therefore, the simplification, facilitation, and automation of the PSCM process, which lead to acceleration of this process, are the most significant success factors for the ERP implementation projects in customer driven environment.
    Matched MeSH terms: Automation
  6. Fulltext A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges
    Oh YH, See J, Le Ngo AC, Phan RC, Baskaran VM
    Front Psychol, 2018;9:1128.
    PMID: 30042706 DOI: 10.3389/fpsyg.2018.01128
    Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and security systems. Advances in computer algorithms and video acquisition technology have rendered machine analysis of facial micro-expressions possible today, in contrast to decades ago when it was primarily the domain of psychiatrists where analysis was largely manual. Indeed, although the study of facial micro-expressions is a well-established field in psychology, it is still relatively new from the computational perspective with many interesting problems. In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition. Individual stages involved in the automation of these tasks are also described and reviewed at length. In addition, we also deliberate on the challenges and future directions in this growing field of automatic facial micro-expression analysis.
    Matched MeSH terms: Automation
  7. Fulltext Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes-Open source development
    Poh AH, Moghavvemi M, Leong CS, Lau YL, Safdari Ghandari A, Apau A, et al.
    PLoS One, 2017;12(2):e0171555.
    PMID: 28152031 DOI: 10.1371/journal.pone.0171555
    Classifying and quantifying mosquito activity includes a plethora of categories, ranging from measuring flight speeds, repellency, feeding rates, and specific behaviors such as home entry, swooping and resting, among others. Entomologists have been progressing more toward using machine vision for efficiency for this endeavor. Digital methods have been used to study the behavior of insects in labs, for instance via three-dimensional tracking with specialized cameras to observe the reaction of mosquitoes towards human odor, heat and CO2, although virtually none was reported for several important fields, such as repellency studies which have a significant need for a proper response quantification. However, tracking mosquitoes individually is a challenge and only limited number of specimens can be studied. Although tracking large numbers of individual insects is hailed as one of the characteristics of an ideal automated image-based tracking system especially in 3D, it also is a costly method, often requiring specialized hardware and limited access to the algorithms used for mapping the specimens. The method proposed contributes towards (a) unlimited open source use, (b) a low-cost setup, (c) complete guide for any entomologist to adapt in terms of hardware and software, (d) simple to use, and (e) a lightweight data output for collective behavior analysis of mosquitoes. The setup is demonstrated by testing a simple response of mosquitoes in the presence of human odor versus control, one session with continuous human presence as a stimuli and the other with periodic presence. A group of female Aedes aegypti (Linnaeus) mosquitoes are released into a white-background chamber with a transparent acrylic panel on one side. The video feed of the mosquitoes are processed using filtered contours in a threshold-adjustable video. The mosquitoes in the chamber are mapped on the raster where the coordinates of each mosquito are recorded with the corresponding timestamp. The average distance of the blobs within the frames against time forms a spectra where behavioral patterns can be observed directly, whether any collective effect is observed. With this method, 3D tracking will not be required and a more straightforward data output can be obtained.
    Matched MeSH terms: Automation
  8. Fulltext Effects of baseline correction algorithms on forensic classification of paper based on ATR-FTIR spectrum and Principal Component Analysis (PCA)
    Lee, L.C., Liong, C-Y., Khairul, O., Jemain, A.A.
    Pertanika Journal of Science & Technology, 2017;25(3):767-774.
    MyJurnal
    Spectral data is often required to be pre-processed prior to applying a multivariate modelling technique. Baseline correction of spectral data is one of the most important and frequently applied pre-processing procedures. This preliminary study aims to investigate the impacts of six types of baseline correction algorithms on classifying 150 infrared spectral data of three varieties of paper. The algorithms investigated were Iterative Restricted Least Squares, Asymmetric Least Squares (ALS), Low-pass FFT Filter, Median Window (MW), Fill Peaks and Modified Polynomial Fitting. Processed spectral data were then analysed using Principal Component Analysis (PCA) to visually examine the clustering among the three varieties of paper. Results show that separation among the three varieties of paper is greatly improved after baseline correction via ALS, FP and MW algorithms.
    Matched MeSH terms: Office Automation
  9. Fulltext Office blood pressure measurement: A comprehensive review
    Siddique S, Hameed Khan A, Shahab H, Zhang YQ, Chin Tay J, Buranakitjaroen P, et al.
    J Clin Hypertens (Greenwich), 2021 03;23(3):440-449.
    PMID: 33420745 DOI: 10.1111/jch.14169
    The conventional auscultatory methods for measuring blood pressure have been used to screen, diagnose, and manage hypertension since long. However, these have been found to be prone to errors especially the white coat phenomena which cause falsely high blood pressure readings. The Mercury sphygmomanometer and the Aneroid variety are no longer recommended by WHO for varying reasons. The Oscillometric devices are now recommended with preference for the Automated Office Blood Pressure measurement device which was found to have readings nearest to the Awake Ambulatory Blood Pressure readings. The downside for this device is the cost barrier. The alternative is to use the simple oscillometric device, which is much cheaper, with the rest and isolation criteria of the SPRINT study. This too may be difficult due to space constraints and the post-clinic blood measurement is a new concept worth further exploration.
    Matched MeSH terms: Automation
  10. An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
    Sim SF, Ting W
    Talanta, 2012 Jan 15;88:537-43.
    PMID: 22265538 DOI: 10.1016/j.talanta.2011.11.030
    This paper reports a computational approach for analysis of FTIR spectra where peaks are detected, assigned and matched across samples to produce a peak table with rows corresponding to samples and columns to variables. The algorithm is applied on a dataset of 103 spectra of a broad range of edible oils for exploratory analysis and variable selection using Self Organising Maps (SOMs) and t-statistics, respectively. Analysis on the resultant peak table allows the underlying patterns and the discriminatory variables to be revealed. The algorithm is user-friendly; it involves a minimal number of tunable parameters and would be useful for analysis of a large and complicated FTIR dataset.
    Matched MeSH terms: Automation, Laboratory
  11. Effect of amplitude criteria on operating characteristic of detection for OSAH events with oxygen saturation
    Lee YK, Bister M, Salleh YM, Blanchfield P
    Annu Int Conf IEEE Eng Med Biol Soc, 2007;2007:4645-8.
    PMID: 18003041
    Effect of amplitude criteria on the operating characteristics of algorithms for detecting OSAH events based on the analysis of oxygen saturation alone is investigated. The objective is to establish that there exists an oxygen desaturation level that leverages these algorithms to be more sensitive or more specific, irrespective of the differences in detection mechanism and database, a first ever attempt. Linear classification of algorithms from previous studies discovered that a drop in oxygen saturation of 3% or less makes the detection algorithms more sensitive while a drop of 4% or more makes it more specific. Results from two algorithms developed here also supported this. This finding explains the contradiction cited in the performance of algorithms from the different authors, which casts doubts on their detection ability. It could lead to the establishment of standard oxygen desaturation levels for screening and diagnosis of moderate/severe OSA, thus providing a more credible comparison basis for automated detection algorithms or even clinical tests.
    Matched MeSH terms: Automation
  12. Mechanisation of large-scale agricultural fields in developing countries-a review
    Onwude DI, Abdulstter R, Gomes C, Hashim N
    J Sci Food Agric, 2016 Mar 4.
    PMID: 26940194 DOI: 10.1002/jsfa.7699
    Mechanisation of large scale agricultural fields often requires the application of modern technologies such as mechanical power, automation, control and robotics. These technologies are generally associated with relatively well developed economies. The application of these technologies in some developing countries in Africa and Asia is limited by factors such as technology compatibility with the environment, availability of resources to facilitate the technology adoption, cost of technology purchase, government policies, adequacy of technology and appropriateness in addressing the needs of the population. As a result, many of the available resources have been used inadequately by farmers, who continue to rely mostly on conventional means of agricultural production, using traditional tools and equipment in most cases. This has led to low productivity and high cost of production amongst others. Thus, this paper attempts to evaluate the application of present day technology and its limitations to the advancement of large scale mechanisation in developing countries of Africa and Asia. Particular emphasis is given to a general understanding of the various levels of mechanization, present day technology, its management and application to large scale agricultural fields. This review also focuses on/ gives emphasis to future outlook that will enable a gradual, evolutionary, and sustainable technological change. The study concludes that large scale-agricultural farm mechanisation for sustainable food production in Africa and Asia must be anchored on a coherent strategy based on the actual needs and priorities of the large- scale farmers.
    Matched MeSH terms: Automation
  13. Fulltext IoT-based smart wheelchair system for physically impaired person
    Muhammad Afiq Mohd Aizam, Nor Shahanim Mohamad Hadis, Samihah Abdullah
    ESTEEM Academic Journal, 2020;16(1):59-73.
    MyJurnal
    Disabled persons usually require an assistant to help them in their daily routines especially for their mobility. The limitation of being physically impaired affects the quality of life in executing their daily routine especially the ones with a wheelchair. Pushing a wheelchair has its own side effects for the user especially the person with hands and arms impairments. This paper aims to develop a smart wheelchair system integrated with home automation. With the advent of the Internet of Things (IoT), a smart wheelchair can be operated using voice command through the Google assistant Software Development Kit (SDK). The smart wheelchair system and the home automation of this study were powered by Raspberry Pi 3 B+ and NodeMCU, respectively. Voice input commands were processed by the Google assistant Artificial Intelligence Yourself (AIY) to steer the movement of wheelchair. Users were able to speak to Google to discover any information from the website. For the safety of the user, a streaming camera was added on the wheelchair. An improvement to the wheelchair system that was added on the wheelchair is its combination with the home automation to help the impaired person to control their home appliances through Blynk application.
    Observations on three voice tones (low, medium and high) of voice command show that the minimum voice intensity for this smart wheelchair system is 68.2 dB. Besides, the user is also required to produce a clear voice command to increase the system accuracy.
    Matched MeSH terms: Automation
  14. Robotic Mounted Rail Arm System for implementing effective workplace safety for migrant workers
    Wei H, Rahman MA, Hu X, Zhang L, Guo L, Tao H, et al.
    Work, 2021;68(3):845-852.
    PMID: 33612527 DOI: 10.3233/WOR-203418
    BACKGROUND: The selection of orders is the method of gathering the parts needed to assemble the final products from storage sites. Kitting is the name of a ready-to-use package or a parts kit, flexible robotic systems will significantly help the industry to improve the performance of this activity. In reality, despite some other limitations on the complexity of components and component characteristics, the technological advances in recent years in robotics and artificial intelligence allows the treatment of a wide range of items.

    OBJECTIVE: In this article, we study the robotic kitting system with a Robotic Mounted Rail Arm System (RMRAS), which travels narrowly to choose the elements.

    RESULTS: The objective is to evaluate the efficiency of a robotic kitting system in cycle times through modeling of the elementary kitting operations that the robot performs (pick and room, move, change tools, etc.). The experimental results show that the proposed method enhances the performance and efficiency ratio when compared to other existing methods.

    CONCLUSION: This study with the manufacturer can help him assess the robotic area performance in a given design (layout and picking a policy, etc.) as part of an ongoing project on automation of kitting operations.

    Matched MeSH terms: Automation
  15. Advancement in biosensor: "Telediagnosis" and "remote digital imaging"
    Gopinath SCB, Ismail ZH, Shapiai MI, Yasin MNM
    Biotechnol Appl Biochem, 2021 May 19.
    PMID: 34009645 DOI: 10.1002/bab.2196
    Current developments in sensors and actuators are heralding a new era to facilitate things to happen effortlessly and efficiently with proper communication. On the other hand, Internet of Things (IoT) has been boomed up with er potential and occupies a wide range of disciplines. This study has choreographed to design of an algorithm and a smart data-processing scheme to implement the obtained data from the sensing system to transmit to the receivers. Technically, it is called "telediagnosis" and "remote digital monitoring," a revolution in the field of medicine and artificial intelligence. For the proof of concept, an algorithmic approach has been implemented for telediagnosis with one of the degenerative diseases, that is, Parkinson's disease. Using the data acquired from an improved interdigitated electrode, sensing surface was evaluated with the attained sensitivity of 100 fM (n = 3), and the limit of detection was calculated with the linear regression value coefficient. By the designed algorithm and data processing with the assistance of IoT, further validation was performed and attested the coordination. This proven concept can be ideally used with all sensing strategies for immediate telemedicine by end-to-end communications.
    Matched MeSH terms: Office Automation
  16. Fulltext Oil palm microsatellites: implications and potentials
    Chua, B. H., Rajinder, S., Tan, S. G., Faridah, Q. Z., Cheah, S. C.
    Buletin Persatuan Genetik Malaysia, 2006;12(1):1-5.
    MyJurnal
    Microsatellites or simple sequence repeats (SSRs) are tandem repeats of DNA of 1-6 bp long. They ubiquitously occur in both eukaryotic and prokaryotic genomes. Because of their abundance,
    they have widespread applications in both animal and plant sciences; such as varietal identification, genetic mapping, QTL mapping, phylogenetic and diversity studies. Thus, SSRs have become valuable DNA markers for molecular biologists and geneticists. Microsatellites are markers
    of choice for many molecular geneticists because of their hypervariability, codominant
    inheritance, multi-allelism and PCR-based assaying of variations that are amenable to automation and high throughput assay. However, the utilization of microsatellite markers in the past was
    hampered by its laborious de novo isolations and species-specific nature.
    Matched MeSH terms: Automation
  17. Fulltext Development of internet-based instrumentation for the study of hall effect
    Ariffin Abas, Abdul Halim Shaari, Zainal Abidin Talib, Zaidan Abdul Wahab
    Pertanika Journal of Science & Technology, 2014;22(1):105-112.
    MyJurnal
    The computer, together with Lab View software, can be used as an automatic data acquisition system. This project deals with the development of a computer interfacing technique for the study of Hall Effect and converting the existing automation system into a Web-based automation system. The drive board RS 217-3611 with PCI 6025E card and stepper motor RS191-8340 with a resolution of 0.1mm, was used to move a pair of permanent magnets backward and forward against the sample. The General Interface Bus (GPIB) card interfaces, together with digital nano voltmeter and Tesla meter using serial port RS232 interface, are used for measuring the potential difference and magnetic field strength respectively. Hall Effect measurement on copper (Cu) and tantalum (Ta) showed negative and positive sign Hall coefficient. Therefore, the system has electron and hole charge carriers respectively at room temperature. The parameters such as drift velocity, conductivity, mobility, Hall Coefficient and charge carrier concentration were also automatically displayed on the front panel of Lab View programming and compared with standard value. The Web-based automation system can be remotely controlled and monitored by users in remote locations using only their web browsers. In addition, video conferencing through Net Meeting has been used to provide audio and video feedback to the client.
    Matched MeSH terms: Automation
  18. Fulltext Conceptualizing a Sustainable Food System in an Automated World: Toward a "Eudaimonian" Future
    Shepon A, Henriksson PJG, Wu T
    Front Nutr, 2018;5:104.
    PMID: 30456214 DOI: 10.3389/fnut.2018.00104
    The industrialized world has entered a new era of widespread automation, and although this may create long-term gains in economic productivity and wealth accumulation, many professions are expected to disappear during the ensuing shift, leading to potentially significant disruptions in labor markets and associated socioeconomic difficulties. Food production, like many other industrial sectors, has also undergone a century of mechanization, having moved toward increasingly large-scale monoculture production-especially in developed economies-with higher yields but detrimental environmental impacts on a global scale. Certain characteristics of the food sector and its products cast doubts on whether future automation will influence it in the same ways as in other sectors. We conceptualize a model of future food production within the socioeconomic conditions created by widespread automation. We ideate that despite immediate shocks to the economy, in the long run higher productivity can free up human activity to be channeled toward more interactive, skill-intensive food production systems, where communal efforts can reduce industrial reliance, diversify farming, and reconnect people to the biosphere-a realization of human well-being that resembles the classical philosophical ideal of Eudaimonia. We explore food production concepts, such as communal gardens and polyculture, and the economic conditions and institutions needed to underwrite them [e.g., a universal basic income (UBI)]. However, arguments can be raised as to why social-ecological systems would benefit from more labor-intensive food production. In this paper we: (1) discuss the current state of the food system and the need to reform it in light of its environmental and social impacts; (2) present automation as a lever that could move society toward more sustainable food production; (3) highlight the beneficial attributes of a Eudaimonian model; and (4) discuss the potential challenges to its implementation. Our purpose is to highlight a possible outcome that future research will need to refine and expand based on evidence and successful case studies. The ultimate aim is to promote a food system that can provide food security while staying within the safe operating space of planetary boundaries, produce more nutritious diets, enhance social capital, and reconnect communities with the biosphere.
    Matched MeSH terms: Automation
  19. Automation of mass spectrometric detection of analytes and related workflows: A review
    Elpa DP, Prabhu GRD, Wu SP, Tay KS, Urban PL
    Talanta, 2020 Feb 01;208:120304.
    PMID: 31816721 DOI: 10.1016/j.talanta.2019.120304
    The developments in mass spectrometry (MS) in the past few decades reveal the power and versatility of this technology. MS methods are utilized in routine analyses as well as research activities involving a broad range of analytes (elements and molecules) and countless matrices. However, manual MS analysis is gradually becoming a thing of the past. In this article, the available MS automation strategies are critically evaluated. Automation of analytical workflows culminating with MS detection encompasses involvement of automated operations in any of the steps related to sample handling/treatment before MS detection, sample introduction, MS data acquisition, and MS data processing. Automated MS workflows help to overcome the intrinsic limitations of MS methodology regarding reproducibility, throughput, and the expertise required to operate MS instruments. Such workflows often comprise automated off-line and on-line steps such as sampling, extraction, derivatization, and separation. The most common instrumental tools include autosamplers, multi-axis robots, flow injection systems, and lab-on-a-chip. Prototyping customized automated MS systems is a way to introduce non-standard automated features to MS workflows. The review highlights the enabling role of automated MS procedures in various sectors of academic research and industry. Examples include applications of automated MS workflows in bioscience, environmental studies, and exploration of the outer space.
    Matched MeSH terms: Automation
  20. Elastic reversible valves on centrifugal microfluidic platforms
    Aeinehvand MM, Weber L, Jiménez M, Palermo A, Bauer M, Loeffler FF, et al.
    Lab Chip, 2019 Feb 20.
    PMID: 30785443 DOI: 10.1039/c8lc00849c
    Reversible valves on centrifugal microfluidic platforms facilitate the automation of bioanalytical assays, especially of those requiring a series of steps (such as incubation) in a single reaction chamber. In this study, we present fixed elastic reversible (FER) valves and tunable elastic reversible (TER) valves that are easy to fabricate, implement and control. In the FER valve the compression of an elastic barrier/patch against a microchamber's outlet prevents the release of liquid. The valve sealing pressure was determined by adjusting the engraving depth of the valve-seat at which the elastic patch was located, this allows to set the sealing pressure during disc fabrication. In the TER valve, the patch compression value and sealing pressure is controlled by the penetration depth of a plastic screw into the valve-seat. The ER valves prevent liquid flow until the centrifugal force overcomes their sealing pressure. Moreover, at a constant spin speed, turning the screw of a TER valve reduces its sealing pressure and opens the valve. Therefore, the TER valve allows for controlling of the liquid transfer volume at various spin speeds. The FER and TER valves' behavior is mathematically described and equations for the prediction of their operation under centrifugal forces are provided. As a point-of-care (POC) application of ER valves, we have developed a microfluidic disc with a series of TER valves and peptide microarrays for automated multiplexed detection of five different proteins from a single serum sample.
    Matched MeSH terms: Automation
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