Correction to ‘Fail-safe genetic codes designed to intrinsically contain engineered organisms’

These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them in your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the USP Medication Errors Reporting Program (MERP), which is presented in cooperation with the Institute for Safe Medication Practices. If you have encountered medication errors and would like to report them, you may call USP toll-free, 24 hours a day, at 800-233-7767 (800-23-ERROR). Any reports published by ISMP will be anonymous. Comments are also invited; the writers’ names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported through the ISMP ( www.ismp.org ) or USP ( www.usp.org ) Web sites or communicated directly to ISMP by calling 1-800-FAIL SAFE or via e-mail at [email protected] . ISMP guarantees the confidentiality and security of the information received and respects reporters’ wishes as to the level of detail included in publications.

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The effectiveness of research-based learning improves student arguments about genetic codes and genetic mutations

10.1063/5.0043447 ◽

2021 ◽

Author(s):

Risnani Naovalia ◽

Mohamad Amin ◽

Hadi Suwono

Keyword(s):

Genetic Mutations ◽

Genetic Codes

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Fail Safe Process of Vehicle Localization for Reliability Improvement of LV3 Autonomous Driving

International Journal of Automotive Technology ◽

10.1007/s12239-021-0049-8 ◽

2021 ◽

Vol 22 (2) ◽

pp. 529-535

Author(s):

Kyungil Seo ◽

Jaehoon Lee ◽

Je-young Lee ◽

Kyongsu Yi

Keyword(s):

Autonomous Driving ◽

Vehicle Localization ◽

Reliability Improvement ◽

Fail Safe

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Emotional intelligence, Personality Variables and Career Adaptability: A Systematic Review and Meta-analysis

Vision The Journal of Business Perspective ◽

10.1177/0972262921989877 ◽

2021 ◽

pp. 097226292198987

Author(s):

Sakshi Vashisht ◽

Poonam Kaushal ◽

Ravi Vashisht

Keyword(s):

Systematic Review ◽

Emotional Intelligence ◽

Publication Bias ◽

Meta Analysis ◽

Career Adaptability ◽

Personality Variables ◽

Regression Test ◽

Size Measure ◽

Fail Safe ◽

The Relationship

This study conducted a systematic review and meta-analysis to examine the relationship between emotional intelligence, personality variables (Big V personality traits, self-esteem, self-efficacy, optimism and proactive personality) and career adaptability of students. Data were coded on CMA software version 3.0. Product–moment correlation coefficient (r) was considered as the effect size measure for this study. Publication bias was assessed using Egger’s regression test along with Orwin’s fail-safe N, but no significant publication bias was detected. From the results of 54 studies, it was found that all variables of the study had meta-analytic correlation with career adaptability of students. For heterogeneity, subgroup analysis was conducted, and significant differences were found.

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