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Academic literature on the topic 'Warning signs'

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Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Warning signs"

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Sutherland, Donald. "Warning Signs." Business Ethics: The Magazine of Corporate Responsibility 11, no. 6 (1997): 16. http://dx.doi.org/10.5840/bemag199711673.

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Kaltenheuser, Skip. "Warning Signs." Business Ethics: The Magazine of Corporate Responsibility 12, no. 3 (1998): 11. http://dx.doi.org/10.5840/bemag199812341.

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Mokhiber, Russell. "Warning Signs." Business Ethics: The Magazine of Corporate Responsibility 12, no. 6 (1998): 7–8. http://dx.doi.org/10.5840/bemag199812676.

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Vossman, Laura. "Warning Signs." Business Ethics: The Magazine of Corporate Responsibility 16, no. 3 (2002): 8. http://dx.doi.org/10.5840/bemag2002163/423.

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Hutton, K. "Warning Signs." Seismological Research Letters 74, no. 2 (March 1, 2003): 169. http://dx.doi.org/10.1785/gssrl.74.2.169.

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Jacobs, Victoria R., Heather A. Martin, Rebecca C. Ambrose, and Randolph A. Philipp. "Warning Signs!" Teaching Children Mathematics 21, no. 2 (September 2014): 107–13. http://dx.doi.org/10.5951/teacchilmath.21.2.0107.

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Bates, Jane. "Warning signs." Nursing Standard 20, no. 35 (May 10, 2006): 30. http://dx.doi.org/10.7748/ns.20.35.30.s39.

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Elliott, Carol. "Warning signs." Nursing Standard 16, no. 7 (October 31, 2001): 26. http://dx.doi.org/10.7748/ns.16.7.26.s41.

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Servick, Kelly. "Warning signs." Science 365, no. 6455 (August 22, 2019): 742–44. http://dx.doi.org/10.1126/science.365.6455.742.

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Rowell, Ronald M. "Warning Signs:." Drugs & Society 5, no. 1-2 (July 1989): 21–36. http://dx.doi.org/10.1300/j023v05n01_03.

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Dissertations / Theses on the topic "Warning signs"

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Honoré, Antoine. "Machine Learning for Neonatal Early Warning Signs." Thesis, KTH, Teknisk informationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208996.

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Cardio-respiratory dysfunction, sepsis and necrotizing enterocolitis are responsible for a large numberof deaths in the neonatal population. Despite ecient monitoring and screening in Intensive CareUnits, diagnosis prior to clinical symptoms remains a dicult task. Based on Heart Rate Monitoring,the state-of-the-art HeRO system indicates the risk for sepsis and has already proven its ability toreduce mortality in the neonatal ICU. Recent studies have shown that a particular respiratory behaviorknown as ABD-events, can be used as a physiomarker for sepsis and is therefore an early warningsign. Detecting ABD-events is currently done by simple thresholding techniques. Based on cardiorespiratorydata and hindsight from previous patients, we aim at improving the early warning systemby applying machine learning algorithms. Data with higher frequency than those used in the HeROsystem and biological samples are still to be collected, but still, using low frequency data, we managedto obtain a specicity (true positive) of 70% and a sensitivity (true negative) of 65% on manuallylabeled events. In this report, the theoretical framework is presented along with the practical issuesencountered during the project.
Varje år dör många nyfödda barn i hjärtproblem, sepsis och nekrotiserande enterokolit. Att ställadiagnos innan kliniska symptom är uppenbara är fortfarande mycket svårt, trots effektiv övervakningoch screening inom intensivvården. Med hjälp av kontinuerlig hjärtövervakning med hjälp HeROsystemetkan kan risken för sepsis beräknas. Förekomsten av särskilda förändringar i barnets andningsmönster (apné, bradykardi och desaturation - ABD) kan användas som en tidig fysiomarkörför sepsis och fungerar därför som en varningssignal. I nyligen presenterade studier har detta visatsminska dödligheten på neontalavdelningar. Dessa ABD-händelser har fram till nu upptäckts genomenkel tröskelnivåbedömning. Baserat på hjärt- och andningsövervakningsdata och kunskap om tidigarepatienter, vill vi förbättra detta system för tidiga varningssignaler genom att använda maskininlärningsalgoritmer. Analys av högfrekvensdata och biomarkörer kvarstår att göra, men ävenbaserat på lågfrekvensdata kunde vi uppnå en specificitet på 70% och en sensitivitet på 65%. Dennarapport sammanfattar den teoretiska bakgrunden till analysmetoden och diskuterar praktiska frågorsom identiferats under arbetets gång.
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Krull, Kimberly A. "The Effects of Fluorescent Yellow Warning Signs at Hazardous Locations." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20000629-154305.

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Yellow warning signs are an important and abundant type of traffic control device. Improving warning signs could be a cost-effective countermeasure at hazardous locations, especially rural locations where approximately 61% of the Nation's traffic fatalities occur. The use of fluorescent yellow sheeting in place of standard yellow sheeting provides a method to increase the conspicuity of the traffic sign while conforming to the guidelines specified by the Manual of Uniform Traffic Control Devices. The 3M Corporation, and later other companies, developed a long-lasting fluorescent yellow retroreflective sign. Although the properties of the fluorescent yellow sheeting indicate that the conspicuity of the signs is much higher, the increased conspicuity ultimately must prompt a change in motorist behavior for highway safety to be improved. Therefore, the purpose was this research was to evaluate the effectiveness of fluorescent yellow warning signs in improving highway safety at hazardous locations. A before and after study used surrogate measures to evaluate the safety effectiveness of replacing existing yellow warning signs (engineer or high intensity grade) with fluorescent yellow warning signs (diamond grade) at seven hazardous locations. The results of this effort indicate that fluorescent yellow warning signs increased the safety at four of the seven sites by providing a more conspicuous warning to motorists. However, since surrogate measures were used, the actual collision savings are unknown.

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Tipple, Caitlyn. "Teacher Knowledge of Child and Adolescent Suicide Warning Signs and Risk Factors." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1565211119189274.

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Holtzhauzen, G. T. D. (Gerhardus Theodoris Daniel). "Modeling business turnaround strategies using verifier determinants from early warning signs theory." Thesis, University of Pretoria, 2011. http://hdl.handle.net/2263/28693.

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The management dilemma emanates from the inadequacy and weakly detailed turnaround models available for use by entrepreneurs and turnaround practitioners in South Africa. To add to this problem previous legislation did not provide any protection to the debtor in any turnaround attempts. New debtor friendly legislation comes into effect in 2011. This research aims to identify the verifiers for signs and causes of potential failure. The construct verifier determinant is theoretically defined and included into a practical turnaround framework. The primary objectives of the study are to:
  • Identify and theoretically define early warning sign “verifier determinants”
  • To design and include “verifier determinants” as an integral part of a turnaround plan that supports corrective action.
The secondary objectives of this study are to:
  • Research the current formal turnaround practices, which are applied in the United States of America, Canada, Australia, Africa and informal practices evident in South Africa. These findings are aligned to include the changes in the applicable South African legislation.
  • Design and propose a framework for use by turnaround practitioners and entrepreneurs alike (conforming to new legislation).
  • Identify which “verifier determinants” will confirm the early warning and apply this outcome to the design of a reliable turnaround framework, acceptable to all creditors and financial institutions.
  • The final objective is to contribute to the South African entrepreneurial, turnaround body of knowledge, and future formal studies in this academically ill-represented field.
The effectiveness of business turnaround depends on the chosen strategy. The literature review in this proposal deals with the following aspects; venture risk propensity, early warning signs and failure models, legal constraints / opportunities and finally turnaround. Current formal turnaround routes are, due to various negativities and high costs, often not practical and a more informal approach is favoured. Methodology:
  • Through comprehensive literature research to identify and theoretically define “verifier determinants” that confirm the early warning sign and causes. Apply in depth interviews to identify the use of verifier determinants by specialist turnaround practitioners.
  • Confirm the actual use and value of the verifier determinants by experts and practitioners during turnarounds, Design and include “verifier determinants” as an integral part of a turnaround framework that supports rehabilitation of the business.
  • Compare the formal turnaround practices, which are applied in other jurisdictions such as the United States of America, Canada, Australia, Africa will be investigated.
  • Adapt the framework cognisant of Chapter six of the companies Act, Act 71 of 2008 requirements and recommend to formal and informal turnaround practices relevant in South Africa.
For this study, a leading commercial bank was selected as the organisation of choice, due to the accessibility to information, research data, and turnaround respondents. For selecting the case studies used for evaluation during interviews, the researcher relied on businesses that were already subjected to BASEL II Accord categorisation criteria and had ex post facto histories. The study applied two research methods. An interview method was used to identify actual verifier determinants used in practice. The interrogation of the participants was done, using the Repertory Grid method, thus forcing choices and explanation of interviewee reasoning. Participants were purposely selected to ensure representation within the identified risk categories. As result, a comprehensive turnaround framework is compiled. The study aligns these findings with the new South African legislation, and designs a turnaround framework for use by turnaround professional practitioners, entrepreneurs and affected persons alike. This study introduced a number of new constructs that can be used in a business turnaround context, namely:
  • business triage
  • verifier determinant
  • turnaround framework, introducing the constructs “business triage” and “verifier determinant” a timeline schedule for executing the rescue process
This study highlighted the importance of establishing the true value of a business in the early stages of the turnaround process. Verifiers can be used successfully to determine the extent of the problem (“depth of the rot”), the difficulties involved and reduce time requirements for analysis.
Thesis (PhD)--University of Pretoria, 2011.
Business Management
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de, Mander Jessica, and Jonathan Danielson. "Modified Early Warning Score bland onkologiska patienter innan dödsfall." Thesis, Uppsala universitet, Institutionen för folkhälso- och vårdvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-215577.

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Bakgrund: Modified Early Warning Score (MEWS) är ett bedömningsinstrument för utvärdering av patienters vitalparametrar. Verktygets funktion är att genom strukturerade observationer identifiera patienter med sviktande vitala funktioner, och således kunna vidta åtgärder innan patienten avlider eller kräver intensivvård. Nyttan av MEWS inom onkologisk heldygnsvård är än så länge dokumenterat i mycket liten utsträckning. En studie från 2012 indikerar att MEWS inte är ett effektivt verktyg för att förutse försämringar hos onkologiska patienter.   Syfte: Att undersöka om patienter inom onkologisk vård uppvisar MEWS 0-17 poäng veckan innan dödsfall. Vidare ämnar författarna vilka specifika parametrar inom MEWS som orsakade förhöjda totalpoäng, samt om några skillnader föreligger mellan män och kvinnor. Metod: Retrospektiv journalgranskningsstudie där dokumentation av MEWS-bedömningar granskades i 70 patientjournaler. Resultat: Undersökningsgruppen hade ett genomsnittligt MEWS på 2,99 under den sista levnadsveckan. Av de enskilda variablerna inom MEWS var andningsfrekvens den som oftast gav poäng ≥1. Det genomsnittliga värdet av MEWS steg från 3,13 poäng det sjunde sista till 8 poäng det sista levnadsdygnet, men på grund av den låga frekvensen av mätningar under det sista levnadsdygnet kan inga slutsatser dras från resultatet. Inga signifikanta skillnader mellan män och kvinnor har identifierats. Låg förekomst av registrerade MEWS hos avlidna onkologpatienter orsakade ett stort initialt bortfall.   Slutsats: Studien indikerar att MEWS används i liten utsträckning på onkologiska patienter innan dödsfall. Det är dock inte möjligt att med detta underlag uttala sig om huruvida MEWS är ett relevant verktyg inom den onkologiska vården, och vidare forskning måste därför göras.
Background: Modified Early Warning Score, MEWS, is a scoring system (0-17 points) for assessment of patients’ vital signs. The function of MEWS is to detect deteriating patients at an early stage, and being able to put in adequate treatment before their physical condition worsens. The benefits from using MEWS on oncology patients have so far been researched to small extent. A study from 2012 indicates that MEWS is not an effective tool for detecting deteriation in oncology patients.   Objective: To research if oncology patients have scores 0-17 on MEWS measurements the week before they are deceased. The writers also intend to research which certain parameters within MEWS caused higher overall scores, and lastly whether there are any differences in scores between men and women.   Methods: A retrospective review of medical records was performed on a total of 104 MEWS measurements belonging to 70 deceased patients. Results: The main results show an average MEWS of 2,99 points during the last week of the patients’ lives. Respiratory rate was the variable within MEWS to cause elevated scores (≥1) most often. The average MEWS increased from 3,13 points the seventh day before death to 8 points the last day before death, but due to the low frequency of measurements from the last day of the patients’ lives, it is not possible to make any assumptions based on these results. Furthermore, the initial loss of patients meeting the inclusion criteria was substantial due to low prevalence of registered MEWS.   Conclusion: The results indicate that MEWS is not used on oncology patients to a great extent. It is not, however, possible to determine whether MEWS is a relevant assessment tool in care of oncology patients, and further research is therefore needed.
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au, NMabbott@iinet net, and Nicholas Mabbott. "Monitoring Device for Early Warning Signs of Operator Fatigue in Open Cut Mines." Murdoch University, 2005. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20060809.93310.

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An investigation into technologies to detect impaired performance due to driver fatigue was undertaken. From this, a new forced-choice stimulus-reaction device was developed specifically to detect driver impairment in operators of haul trucks in open cut mines. The device was developed in conjunction with personnel from the mining industry to suit the harsh conditions of the mining environment. The technology was trialled in three open cut mines and in a driving simulator at Murdoch University in Western Australia. Data were collected on the performance of drivers and analysed to validate the technology. A significant positive correlation was found between measures of reduced operator reaction performance and measures of eye closure. It was found that the device detected few false alarms and missed few bouts of tiredness as indicated by eye closures. It is suggested that the device would be a useful tool to assist with the detection of driver fatigue in open cut mining environments. The forced-choice reaction-monitoring device was used to assess the performance of drivers in a gold mine in Kalgoorlie, Western Australia. The fly-in-fly-out haul truck drivers worked 14 consecutive 12-hour night shifts, had a day off, then worked 13 consecutive 12-hour day shifts. A total of more than 3,500 hours of real-time objective performance data were collected and analysed. The main findings were that the objective performance data showed patterns of low performance that did not fit some of the performance data that would be expected from examination of past literature. Many findings are discussed in light of these anomalies. Another important finding is that the subject’s background and sleep pathology is a possible predictor for poor performance on the forced-choice reaction task. The system was also used to measure the performance of drivers with rising blood alcohol levels in a driving simulator. Subjects drank vodka with a mixer while driving for two hours starting at both 20:00 hrs and 22:00 hrs, with a week in between the two trials. The fatigue monitor detected reaction times slower than 3 SD of baseline performance at low levels of BAC. Performance at 22:00 hrs was marginally more impaired than performance at 20:00 hrs. Drivers at low BAC levels tended to compensate easier on the reaction task at 20:00 hrs compared to at 22:00 hrs. The ARRB fatigue monitor shows good capacity to detect poor performance due to low and medium measures of BAC. The research undertaken within this thesis has provided data that challenges contemporary research that generally suggests that time on task is one of the largest influences of fatigue at work. It appears that both circadian influences and individual lifestyle habits will have an equal or greater impact on fatigue risk at work.
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Mabbott, Nicholas. "Monitoring device for early warning signs of operator fatigue in open cut mines /." Access via Murdoch University Digital Theses Project, 2006. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20060809.93310.

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Mabbott, Nicholas. "Monitoring device for early warning signs of operator fatigue in open cut mines." Thesis, Mabbott, Nicholas (2005) Monitoring device for early warning signs of operator fatigue in open cut mines. PhD thesis, Murdoch University, 2005. https://researchrepository.murdoch.edu.au/id/eprint/169/.

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An investigation into technologies to detect impaired performance due to driver fatigue was undertaken. From this, a new forced-choice stimulus-reaction device was developed specifically to detect driver impairment in operators of haul trucks in open cut mines. The device was developed in conjunction with personnel from the mining industry to suit the harsh conditions of the mining environment. The technology was trialled in three open cut mines and in a driving simulator at Murdoch University in Western Australia. Data were collected on the performance of drivers and analysed to validate the technology. A significant positive correlation was found between measures of reduced operator reaction performance and measures of eye closure. It was found that the device detected few false alarms and missed few bouts of tiredness as indicated by eye closures. It is suggested that the device would be a useful tool to assist with the detection of driver fatigue in open cut mining environments. The forced-choice reaction-monitoring device was used to assess the performance of drivers in a gold mine in Kalgoorlie, Western Australia. The fly-in-fly-out haul truck drivers worked 14 consecutive 12-hour night shifts, had a day off, then worked 13 consecutive 12-hour day shifts. A total of more than 3,500 hours of real-time objective performance data were collected and analysed. The main findings were that the objective performance data showed patterns of low performance that did not fit some of the performance data that would be expected from examination of past literature. Many findings are discussed in light of these anomalies. Another important finding is that the subject's background and sleep pathology is a possible predictor for poor performance on the forced-choice reaction task. The system was also used to measure the performance of drivers with rising blood alcohol levels in a driving simulator. Subjects drank vodka with a mixer while driving for two hours starting at both 20:00 hrs and 22:00 hrs, with a week in between the two trials. The fatigue monitor detected reaction times slower than 3 SD of baseline performance at low levels of BAC. Performance at 22:00 hrs was marginally more impaired than performance at 20:00 hrs. Drivers at low BAC levels tended to compensate easier on the reaction task at 20:00 hrs compared to at 22:00 hrs. The ARRB fatigue monitor shows good capacity to detect poor performance due to low and medium measures of BAC. The research undertaken within this thesis has provided data that challenges contemporary research that generally suggests that time on task is one of the largest influences of fatigue at work. It appears that both circadian influences and individual lifestyle habits will have an equal or greater impact on fatigue risk at work.
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Mabbott, Nicholas. "Monitoring device for early warning signs of operator fatigue in open cut mines." Mabbott, Nicholas (2005) Monitoring device for early warning signs of operator fatigue in open cut mines. PhD thesis, Murdoch University, 2005. http://researchrepository.murdoch.edu.au/169/.

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An investigation into technologies to detect impaired performance due to driver fatigue was undertaken. From this, a new forced-choice stimulus-reaction device was developed specifically to detect driver impairment in operators of haul trucks in open cut mines. The device was developed in conjunction with personnel from the mining industry to suit the harsh conditions of the mining environment. The technology was trialled in three open cut mines and in a driving simulator at Murdoch University in Western Australia. Data were collected on the performance of drivers and analysed to validate the technology. A significant positive correlation was found between measures of reduced operator reaction performance and measures of eye closure. It was found that the device detected few false alarms and missed few bouts of tiredness as indicated by eye closures. It is suggested that the device would be a useful tool to assist with the detection of driver fatigue in open cut mining environments. The forced-choice reaction-monitoring device was used to assess the performance of drivers in a gold mine in Kalgoorlie, Western Australia. The fly-in-fly-out haul truck drivers worked 14 consecutive 12-hour night shifts, had a day off, then worked 13 consecutive 12-hour day shifts. A total of more than 3,500 hours of real-time objective performance data were collected and analysed. The main findings were that the objective performance data showed patterns of low performance that did not fit some of the performance data that would be expected from examination of past literature. Many findings are discussed in light of these anomalies. Another important finding is that the subject's background and sleep pathology is a possible predictor for poor performance on the forced-choice reaction task. The system was also used to measure the performance of drivers with rising blood alcohol levels in a driving simulator. Subjects drank vodka with a mixer while driving for two hours starting at both 20:00 hrs and 22:00 hrs, with a week in between the two trials. The fatigue monitor detected reaction times slower than 3 SD of baseline performance at low levels of BAC. Performance at 22:00 hrs was marginally more impaired than performance at 20:00 hrs. Drivers at low BAC levels tended to compensate easier on the reaction task at 20:00 hrs compared to at 22:00 hrs. The ARRB fatigue monitor shows good capacity to detect poor performance due to low and medium measures of BAC. The research undertaken within this thesis has provided data that challenges contemporary research that generally suggests that time on task is one of the largest influences of fatigue at work. It appears that both circadian influences and individual lifestyle habits will have an equal or greater impact on fatigue risk at work.
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Collen, Alistair. "Early-warning signs in manic-depression : a prospective longitudinal study of four single cases." Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320831.

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A prospective, longitudinal study was undertaken to examine the occurrence and form of prodromal symptoms in four individuals with bipolar affective disorder. Daily, selfreport ratings were made of mood, sleep, six early warning signs and the degree of concern which subjects felt about the current state of their mental health. Two subjects completed 6 months', and two subjects 3 months', worth of daily, weekly and fortnightly record keeping. Three subjects displayed persistent and marked day-to-day fluctuations in symptoms during periods of affective illness. One subject became hypomanic during the course of the study. His data suggested a model of early warning signs as covarying subclinical symptoms, the fluctuations of which increased in their amplitude as the mean level of their intensity rose. Where elements of this model could be tested on the data of the other three subjects, their results were found to be not inconsistent with this model. In view of the potential practical implications of these observations, for the use of early warning signs in self-management strategies, it was suggested that further research should be undertaken. This preliminary study had demonstrated the merit and feasibly of the method employed. However, it was anticipated that subjects who could be recruited for a future study might still not be representative of the wider bipolar population. In addition, some modifications to the present design were discussed.
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Books on the topic "Warning signs"

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Warning signs. New York: Dell, 2003.

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White, Stephen. Warning signs. Thorndike, Me: Center Point Pub., 2002.

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White, Stephen. Warning signs. New York: Delacorte Press, 2002.

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White, Stephen. Warning signs. New York: Bantam Dell, 2002.

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Warning signs. London: Time Warner, 2002.

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Warning signs. New York: Delacorte Press, 2002.

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Lee, Katy. Warning Signs. New York, NY: Love Inspired, 2013.

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Lee, Katy. Warning signs. New York, NY: Love Inspired Books, 2013.

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Warning signs. London: Little, Brown, 2002.

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Wallin, Myna. Warning signs: Poems & prose. Thornhill, Ont: Believe Your Own Press, 2005.

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Book chapters on the topic "Warning signs"

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Chisholm, June F., and Alfred W. Ward. "Warning Signs." In Violence in Schools, 59–74. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-28811-2_4.

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Naphy, William G. "Warning Signs Appear." In Documents on the Continental Reformation, 1–13. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24906-0_1.

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Donaldson, T. H. "Recognising the Warning Signs." In How to Handle Problem Loans, 22–35. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-07740-3_3.

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Smith, Joyce, and Rachel Roberts. "Early Warning Scoring Tools." In Vital Signs for Nurses, 138–55. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119139119.ch8.

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Raggi, Veronica, and Catharine L. A. Weiss. "Screening and Early Warning Signs." In Encyclopedia of Cross-Cultural School Psychology, 864–69. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-71799-9_378.

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Kayes, D. Christopher. "Warning signs: Indicators of goalodicy." In Destructive goal pursuit, 69–77. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230503472_6.

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De Vito, Katherine. "Warning Signs of Gang Involvement." In Gang Prevention in Schools, 115–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82914-8_9.

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Meaden, Alan, Andrew Fox, and Henna Hussain. "Using Early Warning Signs in SAFE." In Team-Based Shared Formulation for Psychosis, 57–71. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003082811-6.

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Cacha, Charles A. "Printed Warning Signs, Tags, and Labels." In Handbook of Standards and Guidelines in Human Factors and Ergonomics, 677–92. 2nd ed. Second edition. | Boca Raton : CRC Press, 2021. | Series: Human factors and ergonomics: CRC Press, 2021. http://dx.doi.org/10.1201/9780429169243-39-46.

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Valsecchi, Pierluigi. "Warning Signs of a Shifting Balance." In Power and State Formation in West Africa, 119–37. New York: Palgrave Macmillan US, 2011. http://dx.doi.org/10.1057/9780230370692_6.

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Conference papers on the topic "Warning signs"

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El Akrouchi, Manal, Houda Benbrahim, and Ismail Kassou. "Monitoring Early Warning Signs Evolution Through Time." In ACAI 2020: 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3446132.3446173.

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KOZLOVA, O., and N. POPELNYUK. "WARNING SIGNS FOR EARLY DIAGNOSTICS OF PRIMARY IMMUNODEFICIENCIES." In CHALLENGES AND QUESTIONS MODERN SCIENCE part 2. ЦНК МОАН, 2019. http://dx.doi.org/10.18411/pivsn-03-2019-18.

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Sodikin. "Driver Compliance to the New Traffic Warning Signs Installation." In Proceedings of the 6th International Conference on Community Development (ICCD 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/iccd-19.2019.128.

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Fan, Yifei, and Yichang Tsai. "Detection and Recognition of U.S. Warning Signs on Curves." In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. http://dx.doi.org/10.1109/ictai.2017.00105.

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Beckmerhagen, I. A., and H. P. Berg. "Evaluation of Operating Experience for Early Recognition of Deteriorating Safety Performance." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49003.

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One of the most difficult challenges facing nuclear power plants is to recognize the early signs of degrading safety performance before regulatory requirements are imposed or serious incidents or accidents occur. Industry experience (also outside nuclear industry) has shown that these are typical issues which should be considered when looking for such early warning signs. Therefore, it is important that nuclear power plant operators have the capability to trend, analyse and recognize early warning signs of deteriorating performance. It is necessary that plant operators are sensitive to these warning signs which may not be immediately evident. Reviewing operating experience is one of the main tasks for plant operators in their daily activities. Therefore, self assessment should be at the centre of any operational safety performance programme. One way of applying a self assessment program is through the following four basic elements: operational data, events, safety basis, and related experience. This approach will be described in the paper in more detail.
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"DRIVING WARNING SYSTEM BASED ON VISUAL PERCEPTION OF ROAD SIGNS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001076800540060.

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K V, Spoorthi, and Nagaraj G. Cholli. "Early Warning Signs of Resourcing in Global Software Development Projects." In 2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON). IEEE, 2021. http://dx.doi.org/10.1109/centcon52345.2021.9688055.

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Shimura, Kaisei, Yoichi Tomioka, and Qiangfu Zhao. "A Distance Estimation Method to Railway Crossing Using Warning Signs." In 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). IEEE, 2021. http://dx.doi.org/10.1109/mcsoc51149.2021.00034.

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Chen, Yu, and Yuren Chen. "Optimization Layout of Warning Signs Based on Road Information Pulse Model." In International Conference on Transportation and Development 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481530.028.

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Ghanavati, Goodarz, Paul D. H. Hines, and Taras I. Lakoba. "Investigating early warning signs of oscillatory instability in simulated phasor measurements." In 2014 IEEE Power & Energy Society General Meeting. IEEE, 2014. http://dx.doi.org/10.1109/pesgm.2014.6939263.

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Reports on the topic "Warning signs"

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Dixon, Karen. Safety Evaluation of Curve Warning Speed Signs. Portland State University Library, June 2011. http://dx.doi.org/10.15760/trec.25.

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Ukkusuri, Satish, Konstantina Gkritza, Xinwu Qian, and Arif Mohaimin Sadri. Best Practices for Maximizing Driver Attention to Work Zone Warning Signs. Purdue University, February 2017. http://dx.doi.org/10.5703/1288284316338.

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Bendixen, Shannon, Michael Campbell, Corey Criswell, and Roland Smith. Change-Capable Leadership The Real Power Propelling Successful Change. Center for Creative Leadership, 2017. http://dx.doi.org/10.35613/ccl.2017.2049.

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If you could ask 275 senior executive leaders about how to lead change, what would they have to say? What if they talked about the most important factors for success, what you should do more of, do less of, or avoid all together? What if their experiences could help you lead change in your organization and provide an early warning system to avoid failure? Do we have your attention? If you are a leader facing complex business challenges in your organization that require changes in the way people have always done things, we offer the following insights from the senior executives we asked about their experiences in leading change: 1. Change yourself. Leading change successfully means spending time outside of your comfort zone. As the individual leading an initiative you must change your mindset, actions, and behaviors. 2. Don’t go it alone. Leading change is a team activity. People come together driven by a compelling, and frequently communicated, message about why we are changing. 3. Know the signs . Recognize the early warning signs that indicate an initiative is starting to derail.
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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platforms, expediting complex system computations and rigour. Moreover, we introduce novel quantum sensing technologies in our Meteoceanics satellite constellation, providing unprecedented spatiotemporal coverage, resolution and lead, whilst using exclusively sustainable materials and processes across the value chain. Our technologies bring out novel information physical fingerprints of extreme events, with recently proven records in capturing early warning signs for extreme hydro-meteorologic events and seismic events, and do so with unprecedented quantum-grade resolution, robustness, security, speed and fidelity in sensing, processing and communication. Our advances, from Earth to Space, further provide crucial predictive edge and added value to early warning systems of natural hazards and long-term predictions supporting climatic security and action.
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Li, Howell, Jijo K. Mathew, Woosung Kim, and Darcy M. Bullock. Using Crowdsourced Vehicle Braking Data to Identify Roadway Hazards. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317272.

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Modern vehicles know more about the road conditions than transportation agencies. Enhanced vehicle data that provides information on “close calls” such as hard braking events or road conditions during winter such as wheel slips and traction control will be critical for improving safety and traffic operations. This research applied conflict analyses techniques to process approximately 1.5 million hard braking events that occurred in the state of Indiana over a period of one week in August 2019. The study looked at work zones, signalized intersections, interchanges and entry/exit ramps. Qualitative spatial frequency analysis of hard-braking events on the interstate demonstrated the ability to quickly identify temporary and long-term construction zones that warrant further investigation to improve geometry and advance warning signs. The study concludes by recommending the frequency of hard-braking events across different interstate routes to identify roadway locations that have abnormally high numbers of “close calls” for further engineering assessment.
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Perdigão, Rui A. P. Earth System Dynamic Intelligence with Quantum Technologies: Seeing the “Invisible”, Predicting the “Unpredictable” in a Critically Changing World. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211028.

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We hereby embark on a frontier journey articulating two of our flagship programs – “Earth System Dynamic Intelligence” and “Quantum Information Technologies in the Earth Sciences” – to take the pulse of our planet and discern its manifold complexity in a critically changing world. Going beyond the traditional stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid approaches to information and complexity, the underlying fundamental science ignites disruptive developments empowering complex problem solving across frontier natural, social and technical geosciences. Taking aim at complex multiscale planetary problems, the roles of our flagships are put into evidence in different contexts, ranging from I) Interdisciplinary analytics, model design and dynamic prediction of hydro-climatic and broader geophysical criticalities and extremes across multiple spatiotemporal scales; to II) Sensing the pulse of our planet and detecting early warning signs of geophysical phenomena from Space with our Meteoceanics QITES Constellation, at the interface between our latest developments in non-linear dynamics and emerging quantum technologies.
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In Conversation… Harmful Sexual Behaviour. ACAMH, September 2018. http://dx.doi.org/10.13056/acamh.4912.

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Proceedings report of webinar on mental health and bullying. Academy of Science of South Africa (ASSAf), 2022. http://dx.doi.org/10.17159/assaf.2022/0085.

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Bullying among adolescents has been identified as a significant public health concern. It is a life-changing experience that has drastically affected more than a third of adolescents in schools globally. There are important negative consequences to victims, perpetrators, schools, families and communities at large. Several studies have shown that victims of bullying are at increased odds of adverse outcomes including physical health problems, emotional and behavioural problems, and psychiatric disorders. At the mental health level, evidence has linked being a victim of bullying to higher rates of depression, insomnia, feelings of hopelessness, loneliness, low self-esteem, suicide ideation and suicide attempts8. Due to the potential mental health effects on everyone involved, it’s important to heed the warning signs of bullying and to highlight intervention and prevention strategies. This webinar sought to understand the impact of bullying on mental health, the mental health of those who experience and witness it and to identifying intervention and prevention strategies.
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