Developing Automated Multispecies Biosensing for Contaminant Detection

1987 ◽  
Vol 19 (11) ◽  
pp. 73-84 ◽  
Author(s):  
E. L. Morgan ◽  
R. C. Young ◽  
C. N. Crane ◽  
B. J. Armigate
Keyword(s):  
Data Gathering ◽  
Toxicity Testing ◽  
Single Species ◽  
Water Quality Monitoring ◽  
Discrete Analog ◽  
Management Program ◽  
Computer Assisted ◽  
Aquatic Animal ◽  
Freshwater Species ◽  
Bioelectric Potentials

Automated biomonitoring may provide real-time functional information from cause/effect relationships between developing toxicity and a representative aquatic animal. However, since the applicability of single-species biomonitoring information may be subject to question when viewed in light of community toxicity and ecological quality control programs, we developed a computer-assisted multiple species biosensing system for water quality monitoring. In addition to fish, emphasis was placed on detecting species-specific bioelectric potentials produced by unrestrained mussels, burrowing mayfly nymph (Hexagenia spp.) and preliminary work with case building caddis fly larva. A specially designed differential amplifier was used for measuring bioelectric potentials induced from various activities of test subjects. Selected responses were detected as discrete analog signals, digitized and filed on computer disk. A management program provided various means for data gathering, filing and retrieval. Two pilot biomonitors were developed, each consisting of an instrumentation minicomputer with up to 12 biosensor input channels and various output peripherals including hardcopy and modem. These systems, combined with an IBM-XT personal computer based biomonitor interfaced to 24 multi-channel biosensor and physical parameter inputs, complete the present network. Results show that bioelectric signals generated from a variety of freshwater species may be easily monitored in a similar manner and viewed as representative measures in community toxicity testing.

Proposed Application of Automated Biomonitoring for Rapid Detection of Toxic Substances in Water Supplies for Permanent Space Stations

1987 ◽  
Vol 30 (2) ◽  
pp. 47-49
Author(s):  
Eric Morgan ◽  
Richard Young ◽  
Michael Smith ◽  
Kenneth Eagleson
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Biological Activities ◽  
Single Species ◽  
Water Quality Monitoring ◽  
Management Program ◽  
Computer Assisted ◽  
Toxic Substances ◽  
Water Supplies ◽  
Wide Range

The objective of this study was to present proposed design characteristics and applications of automated biomonitoring devices for real-time toxicity detection in drinking water supplies on-board permanent space stations. Tests in transmissions of automated biomonitoring data to earth-receiving stations were simulated using satellite data linkage from remote earth-based stations. Automated biomonitoring can provide real-time physiological response information resulting from cause/effect relationships between toxicants and selected aquatic animals. Because the reliability of information from a single-species or from specific physical/chemical water quality parameters may not provide comprehensive protection from a wide variety of potentially toxic compounds, a computer-assisted multiple species biosensing system designed for water quality monitoring was developed. Emphasis was placed on developing methods for detecting species-specific bioelectric potentials produced by unrestrained bivalve mussels and other sedentary invertebrates since these animals are presumably more easily maintained in near zero gravity than fish. In achieving this objective, differential amplifiers were constructed for measuring a wide range of response signals induced by various biological activities from fish and invertebrate subjects. Specific responses were detected as discrete analog signals, each converted to a digital voltage, and filed in computer storage. A management program provided various means for data gathering, filing, and retrieval.

scholarly journals Methods, Developments, and Technological Innovations for Population Surveys

2021 ◽  
pp. 089443932199421
Author(s):  
Venera Tomaselli ◽  
Sebastiano Battiato ◽  
Alessandro Ortis ◽  
Giulio G. Cantone ◽  
Salvatore Urso ◽  
...  
Keyword(s):  
Population Studies ◽  
Data Gathering ◽  
Computational Social Science ◽  
Technological Innovations ◽  
Computer Assisted ◽  
Respondent Driven Sampling ◽  
Population Surveys ◽  
Panel Management ◽  
Dominant Paradigm ◽  
Social Science Approach

This article reviews contemporary issues in survey research, connecting established methods to innovative tools and technologies like real-time sensors and computer vision. This link takes into account the idea about the “organical” nature of Big Data, which represents a challenge toward a modernization of population studies in the light of technological innovations. The adopted dominant paradigm of data gathering is web survey (computer-assisted web interviewing), which is explored through the formalization of chain-referral methods as respondent-driven sampling. The general orientation is toward a computational social science approach. Weaknesses of such methodology is studied and solutions are provided with insights from empirical research on panel management. Contribution from gamification techniques is critically discussed.

Single- and multi-species toxicity testing with nematodes.

2021 ◽  
pp. 298-322
Author(s):  
Sebastian Höss
Keyword(s):  
Caenorhabditis Elegans ◽  
Test Organism ◽  
Toxicity Testing ◽  
Single Species ◽  
Risk Assessments ◽  
Freshwater Sediments ◽  
Nematode Communities ◽  
Model Ecosystems ◽  
Test Organisms ◽  
Experimental Approaches

Abstract This chapter discusses the utility of nematodes in experimental ecotoxicology, and specifically in the study of freshwaters. Drawing on reports in which nematodes were used as test organisms in single-species tests as well as studies investigating nematode communities in model ecosystems (i.e. microcosms), the suitability of nematode-based experimental approaches in prospective and retrospective risk assessments of chemicals in freshwater sediments is examined. Several examples are presented of the use of Caenorhabditis elegans as a test organism in single-species bioassays, in order to demonstrate the versatility of this nematode for ecotoxicological investigations.

Analysis of Iligan City Solid Waste Management: Basis for an Effective Solid Waste Management Program

2012 ◽  
Vol 4 (1) ◽  
Author(s):  
Rolando C. Cuizon
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Significant Relationship ◽  
Family Income ◽  
Solid Waste Management ◽  
Data Gathering ◽  
Analysis Data ◽  
Management Program ◽  
Solid Waste Generation ◽  
Socioeconomic Profile

This study analyzes the Iligan City Solid Waste Management as the basis for an effective Solid Waste Management Program. It was conducted among 1593 respondents from Barangays Maria Cristina, Del Carmen, San Miguel, San Roque, and Tubod. The research design is descriptive and employs a triangulation of quantitative and qualitative methods of data gathering and analysis. Data gathering was made with the use of a researcher-made questionnairethat measured the respondent’s level of knowledge and implementation of Recycling, Reducing, Reusing, and Composting solid waste.The data were statistically processed to get the frequency, percentage and mean. It was further analyzed with Kendall’s tau-b and Pearson Moment Correlation to determine the relationship between variables. The results show that the socioeconomic profile of the respondents has a relationship with the respondents’ Knowledge and Implementation of Solid Waste. All the socioeconomic profile of the respondents has a significant relationship with their knowledge on solid waste management, except for the gender of the respondents. Age has a significant relationship with composting; gender with reduction of solid waste generation and composting; family income and educational attainment with recycling, reduction, and reusing.   Keywords - Solid waste management; 3 r’s of solid waste management: recycle, reduce, reuse; composting, Iligan City, Philippines

Alien invasive species at the Romanian Black Sea coast - Present and perspectives

2010 ◽  
Vol 53 (1) ◽  
pp. 443-467 ◽  
Author(s):  
Marius Skolka ◽  
Cristina Preda
Keyword(s):  
Invasive Species ◽  
Alien Species ◽  
Black Sea ◽  
Alien Invasive Species ◽  
Aquatic Animal ◽  
Freshwater Species ◽  
Field Observations ◽  
Native Communities ◽  
Black Sea Coast ◽  
Sea Coast

Alien invasive species at the Romanian Black Sea coast - Present and perspectives Using literature data and personal field observations we present an overview of aquatic animal alien invasive species at the Romanian Black Sea coast, including freshwater species encountered in this area. We discuss records, pathways of introduction, origin and impact on native communities for some of these alien invasive species. In perspective, we draw attention on the potential of other alien species to become invasive in the study area.

scholarly journals The Computer-Assisted Cognitive/Imagery System for Use in the Management of Pain

2004 ◽  
Vol 9 (3) ◽  
pp. 157-162 ◽  
Author(s):  
Jeffrey J Borckardt ◽  
Jarred Younger ◽  
Justin Winkel ◽  
Michael R Nash ◽  
Darlene Shaw
Keyword(s):  
Pain Management ◽  
Undergraduate Students ◽  
Cold Pressor ◽  
Management Program ◽  
Control Group ◽  
Computer Assisted ◽  
Cold Pressor Task ◽  
Management Group ◽  
Pain Management Program ◽  
Subjective Pain

BACKGROUND:There is growing interest in computer-delivered psychological interventions for a number of clinical conditions, including pain.OBJECTIVES:This study tests the effectiveness of a new computer-delivered pain-management program using a laboratory pain paradigm.METHODS:One hundred twenty undergraduate students were randomly assigned to either the computerized pain-management group or the distraction control group. Subjects underwent a cold-pressor task and were asked to continuously rate their subjective pain experience.RESULTS:Women receiving the computerized pain management intervention were able to tolerate the cold-pressor task longer than those in the control group. No effect was found for men. Subjective pain ratings were consistently lower during the cold-pressor task for subjects in the computerized pain-management group regardless of sex. Subjects receiving the computerized intervention reported feeling more comfortable and relaxed than control subjects during the cold-pressor task.CONCLUSIONS:Findings indicate that further investigations of the program used in this study are warranted to determine its potential clinical utility and that of similar computerized interventions for pain.

Optimizing the Management of Excavation and Repair Data From Inline Inspection Programs

2020 ◽  
Author(s):  
Miaad Safari ◽  
David Shaw
Keyword(s):  
Condition Monitoring ◽  
Data Gathering ◽  
Management Program ◽  
Data Uncertainty ◽  
Pipeline System ◽  
System Integrity ◽  
Integrity Management ◽  
External Corrosion ◽  
Inspection Data ◽  
Superior Approach

Abstract As integrity programs mature over the life of a pipeline, an increasing number of data points are collected from second, third, or further condition monitoring cycles. Types of data include Inline Inspection (ILI) or External Corrosion Direct Assessment (ECDA) inspection data, validation or remediation dig information, and records of various repairs that have been completed on the pipeline system. The diversity and massive quantity of this gathered data proposes a challenge to pipeline operators in managing and maintaining these data sets and records. The management of integrity data is a key element to a pipeline system Integrity Management Program (IMP) as per the CSA Z662[1]. One of the most critical integrity datasets is the repair information. Incorrect repair assignments on a pipeline can lead to duplicate unnecessary excavations in the best scenario and a pipeline failure in the worst scenario. Operators rely on various approaches to manage and assign repair data to ILIs such as historical records reviews, ILI-based repair assignments, or chainage-based repair assignments. However, these methods have significant gaps in efficiency and/or accuracy. Failure to adequately manage excavation and repair data can lead to increased costs due to repeated excavation of an anomaly, an increase in resources required to match historical information with new data, uncertainty in the effectiveness of previous repairs, and the possibility of incorrect assignment of repairs to unrepaired features. This paper describes the approach adopted by Enbridge Gas to track and maintain repairs, as a part of the Pipeline Risk and Integrity Management (PRIM) platform. This approach was designed to create a robust excavation and repair management framework, providing a robust system of data gathering and automation, while ensuring sufficient oversight by Integrity Engineers. Using this system, repairs are assigned to each feature in an excavation, not only to a certain chainage along the pipeline. Subsequently, when a new ILI results report is received, a process of “Repair Matching” is completed to assign preexisting repairs and assessments to the newly reported features at a feature level. This process is partially automated, whereby pre-determined box-to-box features matched between ILIs can auto-populate repairs for many of the repaired features. The proposed excavation management system would provide operators a superior approach to managing their repair history and projecting historical repairs and assessments onto new ILI reports, prior to assessing the ILI and issuing further digs on the pipeline. This optimized method has many advantages over the conventional repair management methods used in the industry. This method is best suited for operators that are embarking on their second or third condition monitoring cycle, with a moderate number of historical repairs.

Water quality policies in the Brantas River Basin, Indonesia

2020 ◽  
Author(s):  
Maurits Ertsen
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
River Basin ◽  
Data Gathering ◽  
Water Quality Monitoring ◽  
River Management ◽  
River Basin Management ◽  
Limited Commitment ◽  
Monitoring Networks ◽  
Basin Management

<p>Over the past 20 years, river water quality in Indonesia has deteriorated enormously. Water quality deterioration continues to increase socio-economic inequality, as it are the most poor communities who live on and along the river. Women are comparatively highly impacted by failing water resources management, but their involvement in decision making processes is limited. As such, the uneven water quality related disease burden in Brantas River Basin widens the socio-economic gap between societal groups. In the Brantas region, cooperation and intention between stakeholders to tackle these issues is growing, but is fragile as well due to overlapping institutional mandates, poor status of water quality monitoring networks, and limited commitment of industries to treat their waste water streams. Currently, an Indonesian-Dutch consortium develops a project which is built on the premise that water problems of our world do not necessarily have to be only a cause of tension, but can also be a catalyst for cooperation. Cooperation is a process that needs active input from all concerned. As such, this project seeks to support a twinned learning process in which science is used to build a trusted information system for policy and decision making in Brantas river basin management. The project focuses on the close links between research processes of data gathering and monitoring and its relevance for societal and institutional actors within river basin management organizations. This twinning between policies and science aims to facilitate learning processes of basin authorities, societal stakeholders, companies and knowledge institutions, as they can profit from each other’s achievements, knowledge and experiences. One of the important issues for this new cooperative partnership is how to develop procedures and routines to monitor water quality in the Brantas river. Participatory data monitoring is among the prime requirements for sustainable river management. An additional dimension of the already challenging issue of data gathering in river management is how to deal with transdisciplinary issues in monitoring, measurements and measures, including research procedures and institutional setup.</p>

scholarly journals Continuous results-driven innovation management program

2019 ◽  
Vol 26 (4) ◽  
pp. 389-408
Author(s):  
Iara Sibele Silva ◽  
Patrícia Bernardes ◽  
Felipe Diniz Ramalho ◽  
Petr Iakovlevitch Ekel ◽  
Carlos Augusto Paiva da Silva Martins ◽  
...  
Keyword(s):  
Success Rate ◽  
Program Implementation ◽  
Innovation Management ◽  
Data Gathering ◽  
Management Program ◽  
Content Type ◽  
The Public ◽  
Program Success ◽  
Innovation Capacity ◽  
Observation Method

Purpose The purpose of this paper is to present the innovation management program (IMP) (FAZ Program) and analyze its results according to the public policy goals that support it (Pró-Inova) suggesting improvements. Design/methodology/approach Intensive-direct-observation method in 43 companies; systematic data gathering and analysis (172 meeting documents); and innovation maturity diagnostics in 30 companies between August 2013 and May 2016. Findings The FAZ Program success rate according to the Pró-Inova goals achieved 81 percent. The percentage of completion of FAZ activities decreases during its implementation from 100 percent (strategic module) to 74 percent (management module) and ending at 46 percent (project module). The maturity for innovation of these committees/teams is decisive for those percentages. Companies whose maturity for innovation of the strategic committee and the organizational team are above average or excellent have, respectively, 1.8 and 1.7 times greater probability of implementing the program successfully. Research limitations/implications The FAZ Program represents only 4 percent of the programs supported by Pró-Inova. The innovative products, processes and businesses produced by the FAZ Program implementation are not measured. These innovations usually happen several years after an innovative management models implementation. Practical implications The maturity for innovation diagnosis is useful both to evaluate the company’s innovation capacity and to predict its chances of implementing the program successfully. Adjusting the structure of the model (e.g. PDCA cycle for the organizational module) and improving the program’s implementation (e.g. ensure management module resources and maturity for innovation capacity) can increase the program’s success rate. Originality/value Previous research works on IMPs supported by Pro-Inova focus on describing their methodology or benefits. The results allow answering what and how one of these programs offers in a return to the public innovation support received.

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