Relevant bibliographies by topics / Safel

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Safel'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Safel"

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Rizzi, Caroline, Colin G. Johnson, Fabio Fabris, and Patricia A. Vargas. "A Situation-Aware Fear Learning (SAFEL) model for robots." Neurocomputing 221 (January 2017): 32–47. http://dx.doi.org/10.1016/j.neucom.2016.09.035.

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&NA;. "OCs 'safe' and 'getting safer'." Reactions Weekly &NA;, no. 723 (October 1998): 2. http://dx.doi.org/10.2165/00128415-199807230-00002.

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Vickers, John. "Safer, but Not Safe Enough." Journal of Risk and Financial Management 12, no. 3 (September 19, 2019): 152. http://dx.doi.org/10.3390/jrfm12030152.

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The great divide between official analyses and economists’ views of optimal bank equity capital is not as wide as appears at first sight if the economics of risk is properly addressed. Adapting the BoE’s analysis to take account of abnormal risk conditions, a less benign view of the effectiveness of resolution regimes in systemic crisis, an international rather than domestic perspective, and a consistent approach to risk, takes one a good distance towards the economists’ view. The economic rationale for capital levels in the region of Basel III is left looking thin. It looks thinner still when, as now, price-to-book ratios are calling regulatory capital measures into question for some important banks
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&NA;. "OCs ???safe??? and ???getting safer???" Inpharma Weekly &NA;, no. 1159 (October 1998): 21. http://dx.doi.org/10.2165/00128413-199811590-00046.

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Sittig, Dean F., Mandana Salimi, Ranjit Aiyagari, Colin Banas, Brian Clay, Kathryn A. Gibson, Ashutosh Goel, et al. "Adherence to recommended electronic health record safety practices across eight health care organizations." Journal of the American Medical Informatics Association 25, no. 7 (April 26, 2018): 913–18. http://dx.doi.org/10.1093/jamia/ocy033.

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Abstract Objective The Safety Assurance Factors for EHR Resilience (SAFER) guides were released in 2014 to help health systems conduct proactive risk assessment of electronic health record (EHR)- safety related policies, processes, procedures, and configurations. The extent to which SAFER recommendations are followed is unknown. Methods We conducted risk assessments of 8 organizations of varying size, complexity, EHR, and EHR adoption maturity. Each organization self-assessed adherence to all 140 unique SAFER recommendations contained within 9 guides (range 10–29 recommendations per guide). In each guide, recommendations were organized into 3 broad domains: “safe health IT” (total 45 recommendations); “using health IT safely” (total 80 recommendations); and “monitoring health IT” (total 15 recommendations). Results The 8 sites fully implemented 25 of 140 (18%) SAFER recommendations. Mean number of “fully implemented” recommendations per guide ranged from 94% (System Interfaces—18 recommendations) to 63% (Clinical Communication—12 recommendations). Adherence was higher for “safe health IT” domain (82.1%) vs “using health IT safely” (72.5%) and “monitoring health IT” (67.3%). Conclusions Despite availability of recommendations on how to improve use of EHRs, most recommendations were not fully implemented. New national policy initiatives are needed to stimulate implementation of these best practices.
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Ronald F Eustice. "Using irradiation to make safe food safer." Stewart Postharvest Review 11, no. 3 (2015): 1–5. http://dx.doi.org/10.2212/spr.2015.3.1.

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Sullivan, B. J., P. Kibel, G. Robertson, B. Kibel, M. Goren, S. G. Candy, and B. Wienecke. "Safe Leads for safe heads: safer line weights for pelagic longline fisheries." Fisheries Research 134-136 (December 2012): 125–32. http://dx.doi.org/10.1016/j.fishres.2012.07.024.

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Clark, Terry. "Is Safer than Safe a Price Worth Paying?" Outlooks on Pest Management 21, no. 5 (October 1, 2010): 206–7. http://dx.doi.org/10.1564/21oct01.

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Vejarano, L. Felipe, and Alejandro Tello. "Vejarano??s Safe Chop Technique: A Safer Chopping." Techniques in Ophthalmology 3, no. 3 (September 2005): 109–15. http://dx.doi.org/10.1097/01.ito.0000177615.12054.e1.

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Hoffman, James M., Donald K. Baker, Scott C. Howard, Joseph H. Laver, and Jerry L. Shenep. "Safe and Successful Implementation of CPOE for Chemotherapy at a Children's Cancer Center." Journal of the National Comprehensive Cancer Network 9, Suppl_3 (February 2011): S—36—S—50. http://dx.doi.org/10.6004/jnccn.2011.0131.

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Computerized prescriber order entry (CPOE) for medications has been implemented in only approximately 1 in 6 United States hospitals, with CPOE for chemotherapy lagging behind that for nonchemotherapy medications. The high risks associated with chemotherapy combined with other aspects of cancer care present unique challenges for the safe and appropriate use of CPOE. This article describes the process for safe and successful implementation of CPOE for chemotherapy at a children's cancer center. A core principle throughout the development and implementation of this system was that it must be as safe (and eventually safer) as existing paper systems and processes. The history of requiring standardized, regimen-specific, preprinted paper order forms served as the foundation for safe implementation of CPOE for chemotherapy. Extensive use of electronic order sets with advanced functionality; formal process redesign and system analysis; automated clinical decision support; and a phased implementation approach were essential strategies for safe implementation of CPOE. With careful planning and adequate resources, CPOE for chemotherapy can be safely implemented.
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Dissertations / Theses on the topic "Safel"

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Rizzi, Raymundo Caroline. "SAFEL : a Situation-Aware Fear Learning model." Thesis, University of Kent, 2017. https://kar.kent.ac.uk/65705/.

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This thesis proposes a novel and robust online adaptation mechanism for threat prediction and prevention capable of taking into consideration complex contextual and temporal information in its internal learning processes. The proposed mechanism is a hybrid cognitive computational model named SAFEL (Situation-Aware FEar Learning), which integrates machine learning algorithms with concepts of situation-awareness from expert systems to simulate both the cued and contextual fear-conditioning phenomena. SAFEL is inspired by well-known neuroscience findings on the brain's mechanisms of fear learning and memory to provide autonomous robots with the ability to predict undesirable or threatening situations to themselves. SAFEL's ultimate goal is to allow autonomous robots to perceive intricate elements and relationships in their environment, learn with experience through autonomous environmental exploration, and adapt at execution time to environmental changes and threats. SAFEL consists of a hybrid architecture composed of three modules, each based on a different approach and inspired by a different region (or function) of the brain involved in fear learning. These modules are: the Amygdala Module (AM), the Hippocampus Module (HM) and the Working Memory Module (WMM). The AM learns and detects environmental threats while the HM makes sense of the robot's context. The WMM is responsible for combining and associating the two types of information processed by the AM and HM. More specifically, the AM simulates the cued conditioning phenomenon by creating associations between co-occurring aversive and neutral environmental stimuli. The AM represents the kernel of emotional appraisal and threat detection in SAFEL's architecture. The HM, in turn, handles environmental information at a higher level of abstraction and complexity than the AM, which depicts the robot's situation as a whole. The information managed by the HM embeds in a unified representation the temporal interactions of multiple stimuli in the environment. Finally, the WMM simulates the contextual conditioning phenomenon by creating associations between the contextual memory formed in the HM and the emotional memory formed in the AM, thus giving emotional meaning to the contextual information acquired in past experiences. Ultimately, any previously experienced pattern of contextual information triggers the retrieval of that stored contextual memory and its emotional meaning from the WMM, warning the robot that an undesirable situation is likely to happen in the near future. The main contribution of this work as compared to the state of the art is a domain-independent mechanism for online learning and adaptation that combines a fear-learning model with the concept of temporal context and is focused on real-world applications for autonomous robotics. SAFEL successfully integrates a symbolic rule-based paradigm for situation management with machine learning algorithms for memorizing and predicting environmental threats to the robot based on complex temporal context. SAFEL has been evaluated in several experiments, which analysed the performance of each module separately. Ultimately, we conducted a comprehensive case study in the robot soccer scenario to evaluate the collective work of all modules as a whole. This case study also analyses to which extent the emotional feedback of SAFEL can improve the intelligent behaviour of a robot in a practical real-world situation, where adaptive skills and fast/flexible decision-making are crucial.
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Heng, Heng. "A safer city center in Stockholm : Safe issues from muti-perspectives and urban environment reshaping." Thesis, KTH, Arkitektur, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254679.

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Doumtsis, Georgios, and Bálint István Mezei. "Better Safe Than Sorry : The Influence of Harm Reduction Messages on Intention Formulation Toward Safer Illicit Substance Use." Thesis, Jönköping University, Internationella Handelshögskolan, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49260.

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Pohl, Reinhard. "How safe is safe?" Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-160600.

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Reservoirs and dams are often situated in the mountains upstream of cities and towns. This implies a theoretical but difficult to evaluate hazard potential for downstream communities. This paper reflects experiences of the related safety analysis practice including the steps from the breach estimation towards the drawing of special hazard maps.
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Aslansefat, K., Sohag Kabir, Amr R. A. Abdullatif, Vinod Vasudevan, and Y. Papadopoulos. "Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems." IEEE, 2021. http://hdl.handle.net/10454/18591.

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Yes
This article proposes an approach named SafeML II, which applies empirical cumulative distribution function-based statistical distance measures in a designed human-in-the loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software. The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relatively high due to insufficient training data, distributional shift, or cyber-security attack. Thus, AI-based algorithms should make dependable decisions to improve their interpretation of the environment, lower the risk of autonomous driving, and avoid catastrophic accidents. This paper proposes an approach named SafeML II, which applies empirical cumulative distribution function (ECDF)-based statistical distance measures in a designed human-in-the-loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software. The approach is model-agnostic and it can cover various machine learning and deep learning classifiers. The German Traffic Sign Recognition Benchmark (GTSRB) is used to illustrate the capabilities of the proposed approach.
This work was supported by the Secure and Safe MultiRobot Systems (SESAME) H2020 Project under Grant Agreement 101017258.
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Langsdorf, Andreas. "Analyse der genetischen Diversität von wildwachsenden Futterpflanzen aus der Sahelzone in Westafrika anhand von RAPD-Markern." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=958345317.

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Theunynck, Serge. "Habiter le Sahel : économie de l'habitat et de la construction." Paris, EHESS, 1992. http://www.theses.fr/1992EHES0017.

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La these, qui a pour objectif l'economie de l'habitat et de la construction au sahel, est composee de 4 parties. 1. La premiere partie est une presentation du sahel : (a) etude demographique, (b) urbanisation (historique, traits caracteristiques, problematique). (c) dynamique de l'urbanisation : causes (sols, climats, secheresses, violence rurale, jeunesse de la population, faiblesse des revenus, inegalite alimentaire) et consequences : comment vit-on dans les villes du sahel ? (travailler, gagner sa vie, se nourrir, se loger). 2. Dans une deuxieme partie sont etudiees les voies conventionnelles de production de l'habitat social : secteur moderne de production des materiaux, des entreprises, promotion publique de l'habitat social. 3. La troisieme partie est introduite par une analyse des inter-relations entre techniques et ideologies. Elle fait le bilan des projets de technologies appropriees dans le domaine de l'habitat a faible cout realises au sahel dans les anees 70-80. L'analyse est basee sur la comparaison des performances relatives des secteurs formel, informel et " alternatif "; le critere etant celui du cout. Sont succesivement etudies, les materiaux locaux, les liants, les blocs et les briques, les materiels, les murs, les toitures et les projets de construction. 4. La quatrieme partie traite des experiences d'amenagement urbain au senegal, au mali et au burkina-faso
The thesis, whose objective is the economics of habitat and construction in the sahelian countries is composed of four parts: 1. The first part is an introduction to the sahelian countries : (a) demography, (b) urbanisation (history, main outlines problems). (c) dynamics of the urbanisation : reasons (land potentialities, climates, droughts, rural violence, population youth, food disparities) and consequences : how to live in sahelian cities ? (how to work, to earn, to feed oneself, to accomodate). 2. The second part is concerned with the study of the conventionnal ways to produce social housing : modern sector of materials production, modern construction firms, public promotion of social housing. 3. The third part starts with an analysis of the inter-connections between technologies and ideologies. Than is presented an evaluation of the appropriate technology projects conducted in the sahelian countries during the 70-80 years. The analysis compares the capabilities of the formal, informal and "alternative" sectors : the criterium is the cost. The chapter focuses on the follwing matters : local materials, binding materials, bricks and blocs, tools, walls, roofs, and construction projects. 4. The fourth part deals with various experiments to manage urban development, in senegal, mali and burkina-faso
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Pongpairote, Asia Nichackarn, and Mariam Bayat. "Arm Injury Prediction withTHUMS SAFER : Improvements of the THUMS SAFER upperextremity." Thesis, KTH, Lättkonstruktioner, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290154.

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Globally, approximately 1.2 million people die each year due to trac accidents. Upperextremity injuries account for 18% to 25% of all car accident injuries. In order to beable to analyze these crash-related injuries, Human body models(HBMs) are used as acomplement to FE simulations. An example of a HBM is the THUMS SAFER that isbased on a 50 percentile American male. The aim of this study was to improve the upperextremity of the THUMS SAFER with respect to Autoliv's requirements to better predictfractures. In addition, this was validated against the Forman experiment(Forman, et al.,The journal of trauma and acute care surgery, vol. 77, 2014) where human cadavers ofthe upper extremity were axially impacted to replicate a car collision. This was done bygenerating the upper extremity geometry with segmentation of medical images of a righthuman hand in combination with the complete STL-geometry of the forearm from thePiper project. The STL-geometry of the segmented human hand and Piper forearm wasintegrated and a complete STL-geometry of the upper extremity was obtained. Basedon the complete STL-geometry, the FE-arm HEX 4.0 was built with modelling of bones,ligaments, soft tissue and skin with corresponding material choice in accordance withAutoliv's requirements.The model HEX 4.0 was improved considering an increased mesh density from an averageof 94% to 98%. HEX 4.0 was also validated against the data from the Forman experimentfor experiments 5, 6 and 15. It showed a good correlation with the acceleration curvesbetween the simulated and experimental values for the three experiments. The reactionforce in the elbow was compared for experiment 15, where the simulated value 5.7 kNdivided by a factor of 1.4 from 4 kN for the experiment. Furthermore, the  rst principalstrains that occurred in HEX 4.0 were analysed by 17 ms were the highest accelerationwas achieved for experiments 5 and 6. Both experiments were shown to be close to thefailure threshold of bones. However, the highest value 5=9.8E-03 occurred in the radiusfor experiment 5, while 6=9.3E-03 in a ligament for experiment 6. In addition, thefailure threshold for experiment 15 exceeded 5 ms in lunate, schapoid and triquetrum.This indication of fractures is in good agreement with the experimental results where thecorresponding bones resulted in fractures in experiment 15. HEX 4.0 was an improvedupper extremity of the THUMS SAFER considering an increased mesh density. It isalso capable of indicating fractures and corresponding positions in the form of analyzesof occurring stresses and strains. Nevertheless, improvements and further validation ofHEX 4.0 has been proposed in the future work section.
Globalt, dör varje ar ungefär 1.2 miljoner personer på grund av trafikolyckor. Övre extremit skador utgör 18% till 25% av alla skador inom bilolyckor. För att kunna analysera dessa krockrelaterade skador används humanmodeller (HBM) som komplement för FE-simuleringar. Ett exempel på en HBM är THUMS SAFER som är baserad på en 50 percentile amerikans man. Målet med denna studie är att förbättra uppre extremiten av THUMS SAFER med avseende på Autolivs krav för att bättre kunna förutspå frakturer Dessutom validerades detta mot Forman experiment (Forman, et al., The journal of trauma and acute care surgery, vol. 77, 2014) där övre extremitet av människokadaver blev axiellt påverkade för att replikera en bil kollsion. Detta gjordes genom att generera STL-geometrin av den övre extremitet med segmentering av medicinska bilder av en höger människohand i kombination med färdig STL-geometri av underarmen från Piperprojektet STL-geometrin av den segmenterande människohanden och Piper underarmen integrerades och en komplett STL-geometri av övre extremiteten erhölls. Baserad på den kompletta STL-geometrin byggdes FE-armen HEX 4.0 med modellering av ben, ligament, mjukvävnad samt hud med motsvarande materialval i enighet med Autolivs krav. Modellen HEX 4.0 förbättrades i form av en ökad mesh densitet från medelvärdet 94% till 98%. Den validerades även gentemot data från Forman experimentet för experiment5, 6 och 15. Det påvisade en god korrelation på accelerations kurvorna mellan de simulerade och experimentella värdena för de tre experimenten. Reaktionskraften i armbågen jämfördes för experiment 15 där den simulerade värdet 5.7 kN skiljde sig med en faktor 1.4 från 4 kN för experimentet. Ytterligare analyserades första huvudtöjningarna som uppkom i HEX 4.0 vid 17 ms, då den högsta accelerationen uppnåddes för experiment 5 och 6. Det visades att båda experimenten låg nära failure tröskeln av ben, däremot uppkom den högsta värdet 5=9.8E-03 i radius för experiment 5, medan 6=9.3E-03 i ett ligament för experiment 6. Dessutom överskred failure tröskeln för experiment 15 efter 5 ms i lunate, schapoid och triquetrum. Denna indikation av frakturer stämmer väl medexperiment resultaten där motsvarande benen resulterande i frakturer i experiment 15.HEX 4.0 är en förbättrad övre extremitet av THUMS SAFER i form av förbättrad mesh densitet. Den är även kapabel att indikera frakturer och motsvarande position i form av analyser på förekommande spänningar och töjningar. Förbättringar och ytterligare validering av HEX 4.0 föreslås för framtida arbete.
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NIAMIR, MARYAM. "GRAZING INTENSITY AND ECOLOGICAL CHANGE IN EASTERN SENEGAL: IMPLICATIONS FOR THE MONITORING OF SAHELIAN RANGELANDS." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184034.

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The objectives of this dissertation were to identify soil and vegetation changes due to grazing by livestock and to develop guidelines for monitoring the impact of livestock in the Sahelian zone of Africa. The study was conducted in eastern Senegal during 1983 to 1985. The basic methodology was a study of the process of degradation (retrogression) through the collection of data on soils and vegetation along a gradient of increasing livestock pressure. Two gradients were selected along piospheres. Each gradient was placed on a range site that had homogeneous state factors (climate, geology, and rainfall). The results show that the changes in the soil were confined to the top soil horizon. There was a negative correlation between livestock pressure and factors such as infiltration, percent nitrogen, and percent carbon, and a positive correlation between livestock pressure and the factors of bulk density, and phosphorous content. Changes in the vegetation community were dependent on the range site. On the sandy site, there was a linear, negative correlation between livestock pressure and the factors of plant density, plant cover and biomass. On the loamy range site, the changes in these factors along the gradient had a 2nd or 3rd order polynomial relationship. The effects of bush fires and short term droughts on the vegetation were also studied. Drought, in particular, has an impact that is similar to that of livestock pressure, and may compound the results. Multiple regression analysis and a Twinspan ordination program were used to select parameters and plant species that were highly correlated with the gradient, and could act as indicators of each stage of degradation. These indicators can be used to monitor the impact of livestock on rangelands. General parameters, such as total plant density, are less sensitive to drought-induced changes than the composition of indicator species, but the latter are easier to monitor. Both types of indicators can form the basis for a monitoring methodology that can be used in Africa at three management levels: the individual herder, extension agents and regional branches of the division concerned with rangelands, and policy makers at the ministerial level.
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Allen, Kimberly, Sarah Kirby, Taylor McDonald, and Bria Sledge. "B.E. Safe." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/secfr-conf/2018/schedule/2.

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Methodology: The Behavioral and Environmental Safety Program (B.E. Safe) for Early Childhood Professionals is being developed in response to Federal Safety regulations for childcare procedures and addresses social and emotional safety concerns. The curriculum includes Family Life Education content areas focusing on diversity, inclusion, social and emotional health, bullying prevention, supporting children with special needs, building relationships with parents, and understanding children’s behavior. Discussion of existing research: Research states that high quality childcare and education benefits all children (DHSS, 2015). Best practices indicate that Early Childhood Professionals need high quality training to be equipped to understand child development, strategies for working with families, and having the resources for supports when including children with disabilities in early childcare programs (DHSS, 2015). Not only should Early Childhood Professionals be equipped with the tools and resources to understand children’s behavior, educators need to demonstrate competency in state regulations, environmental safety for children, and playground safety (Sheridan, Edwards, Marvin & Knoche, 2009). B.E. Safe allows Early Childhood Professionals to engage in a research-based training that will help to ensure safety within their center. Connection to Theory: Behavior theories of child development incorporate environmental influences on behavior (Shute & Slee, 2015). A child’s early learning environment and the adults influence of children affects emotional, social, and physical development. B.E. Safe relates to Vygotsky’s Sociocultural Theory (1978) suggesting that children learn actively through hands on experiences. The Sociocultural Theory suggest that parents, caregivers, and a child’s environment from a young age is largely responsible for higher order functions (Shute & Slee, 2015). Proficiency in Adverse Childhood Experiences (ACEs) will allow participants to grasp how traumatic events can affect a child’s developmental process. Educating early childcare professionals on ACEs will allow for adults to be aware of what to look for, and how to keep children protected from adverse experiences (Sacks, Murphey & Moore, 2014). How will the study add to knowledge/innovative practice? Family Scientists will gain knowledge on best practices for providing Family Life Education to Early Childhood Professionals. Specifically, participants will gain knowledge on promoting inclusion, understanding behavior issues, developmental delays, and how to keep children safe from potential environmental hazards.
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Books on the topic "Safel"

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Management, Perth City Centre. Welcome to a safer city centre: Perth, feel safe...be safe. Perth: Perth City Centre Management, 2004.

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Safer sexy: The guide to gay sex safely. London: Freedom Editions, 1994.

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Hart, Lou. Safe and secure: A report on safer stations activity. London: London Borough of Lambeth, 1997.

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Yeager, Wayne B. Techniques of safecracking. Port Townsend, Wash: Loompanics Unlimited, 1990.

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Martin, Tom. Working together for a safer winter!: "tips" for safe winter walking. Grand Rapids, MI: U.S. Postal Service, 1987.

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Cornell, Dewey G. Designing safer schools for Virginia: A guide to keeping students safe from violence. Charlottesville, Va: Thomas Jefferson Center for Educational Design, University of Virginia, 1998.

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Cortie, Joe. GSA container identification. Nicholasville, KY: MBA USA Inc., 2009.

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McOmie, Dave. Guide to high security safes. Streamwood, IL (1533 Burgundy Pkwy., Streamwood 60107): National Locksmith, National Pub. Co., 1991.

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Lacey, Richard. Safe shopping,safe cooking, safe eating. Oxford: ISIS, 1990.

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Hammer, Thomas. Sahel. Gotha: Klett-Perthes, 2005.

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Book chapters on the topic "Safel"

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Sammut Scerri, Clarissa, Arlene Vetere, Angela Abela, and Jan Cooper. "Helping Couples Separate Safely: Working Towards Safe Separations." In Intervening After Violence, 71–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57789-0_4.

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Delaët, Sylvie, Shlomi Dolev, and Olivier Peres. "Safer Than Safe: On the Initial State of Self-stabilizing Systems." In Lecture Notes in Computer Science, 775–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05118-0_55.

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Hughes, Vera, and David Weller. "Safe." In People in Retailing, 175–84. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-09897-2_17.

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Renn, Ortwin, Julia Ortleb, Ludger Benighaus, and Christina Benighaus. "Risks." In Safe or Not Safe, 1–40. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7868-4_1.

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Young, Juliette, and Allan Watt. "Biodiversity at Risk." In Safe or Not Safe, 41–77. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7868-4_2.

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Pongratz, Ingemar, Katarina Pettersson, and Malin Hedengran Faulds. "Chemical Contaminants in Food." In Safe or Not Safe, 79–100. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7868-4_3.

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Pechan, Paul. "The Food Choices We Make." In Safe or Not Safe, 101–42. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7868-4_4.

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Cardona-Morrell, Magnolia, and Ken Hillman. "Dying Safely." In Textbook of Rapid Response Systems, 289–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-39391-9_27.

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Camp, Christina M., and Gina M. Wingood. "Safer Sex." In Encyclopedia of Women’s Health, 1156–58. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48113-0_386.

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Trevelyan, James P. "Working safely." In Learning Engineering Practice, 89–95. Boca Raton : CRC Press, [2021]: CRC Press, 2020. http://dx.doi.org/10.1201/b22622-15.

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Conference papers on the topic "Safel"

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Rizzi, Caroline, Colin G. Johnson, and Patricia A. Vargas. "Improving the predictive performance of SAFEL: A Situation-Aware FEar Learning model." In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2016. http://dx.doi.org/10.1109/roman.2016.7745201.

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"SAFE RPC - Auditing Mixnets Safely using Randomized Partial Checking." In International Conference on Security and Cryptography. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002939601650170.

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Alhassoun, Nailah Saleh, Md Yusuf Sarwar Uddin, and Nalini Venkatasubramanian. "SAFER: An IoT-based perpetual safe community awareness and alerting network." In 2017 Eighth International Green and Sustainable Computing Conference (IGSC). IEEE, 2017. http://dx.doi.org/10.1109/igcc.2017.8323585.

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Hamzah, Nurul Ezalina, K. Samunathan Karuppiah, Mohd Shahrizal Hashim, and Azhar Md Ali. "Safe Working Load versus Maximum Gross Weight : How much can we lift safely?" In SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/111355-ms.

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Hofer, F., and A. Schwaninger. "Using threat image projection data for assessing individual screener performance." In SAFE 2005. Southampton UK: WIT Press, 2005. http://dx.doi.org/10.2495/safe050411.

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Holický, M. "Optimization of risk criteria for road tunnels." In SAFE 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/safe070011.

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Almeida Santos, F. M., T. Bourbon, and A. Soeiro. "Economic analysis of safety risks in construction." In SAFE 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/safe070021.

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Taufer, J., and L. Bazant. "The risk analysis of pseudolite and satellite navigation system." In SAFE 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/safe070031.

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Apolloni, S., M. Fera, and R. Macchiaroli. "Proposal of a model for chemical risk preliminary assessment." In SAFE 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/safe070041.

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Sung, Y. G., P. Kang, and W. T. Sim. "Information asset modelling for risk analysis." In SAFE 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/safe070051.

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Reports on the topic "Safel"

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Barro, Robert, Jesús Fernández-Villaverde, Oren Levintal, and Andrew Mollerus. Safe Assets. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20652.

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Meade, Roger Allen. Mosler versus the Atom: How safe is a safe. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1581249.

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Cole, William. Safer Army Helmet (Video). Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada542130.

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Hutchison, James E., Eric Johnson, Karen Guillemin, John Postlethwait, Mark Lonergan, Andy Berglund, Steve Kevan, Richard Taylor, and Dave Johnson. Safer Nanomaterials and Nanomanufacturing. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada584768.

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Murphy, Curtiss. Safe Surgery Trainer. Fort Belvoir, VA: Defense Technical Information Center, August 2014. http://dx.doi.org/10.21236/ada608718.

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Murphy, Curtiss. Safe Surgery Trainer. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada606668.

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Murphy, Curtiss. Safe Surgery Trainer. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada610557.

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Murphy, Curtiss. Safe Surgery Trainer. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada613393.

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Murphy, Curtiss. Safe Surgery Trainer. Fort Belvoir, VA: Defense Technical Information Center, November 2014. http://dx.doi.org/10.21236/ada613392.

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Murphy, Curtiss. Safe Surgery Trainer. Fort Belvoir, VA: Defense Technical Information Center, August 2015. http://dx.doi.org/10.21236/ada623472.

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