National plan to enhance aviation safety through human factors improvements

The purpose of this section of the plan is to establish a development and implementation strategy plan for improving safety and efficiency in the Air Traffic Control (ATC) system. These improvements will be achieved through the proper applications of human factors considerations to the present and future systems. The program will have four basic goals: (1) prepare for the future system through proper hiring and training; (2) develop a controller work station team concept (managing human errors); (3) understand and address the human factors implications of negative system results; and (4) define the proper division of responsibilities and interactions between the human and the machine in ATC systems. This plan addresses six program elements which together address the overall purpose. The six program elements are: (1) determine principles of human-centered automation that will enhance aviation safety and the efficiency of the air traffic controller; (2) provide new and/or enhanced methods and techniques to measure, assess, and improve human performance in the ATC environment; (3) determine system needs and methods for information transfer between and within controller teams and between controller teams and the cockpit; (4) determine how new controller work station technology can optimally be applied and integrated to enhance safety and efficiency; (5) assess training needs and develop improved techniques and strategies for selection, training, and evaluation of controllers; and (6) develop standards, methods, and procedures for the certification and validation of human engineering in the design, testing, and implementation of any hardware or software system element which affects information flow to or from the human

Florida's Halfbeak, Hemiramphus spp., Bait Fishery

Two species of halfbeaks, ballyhoo, Hemiramphus brasiliensis, and balao, H. balao, form the basis of a relatively small but valuable bait fishery in southeastern Florida. Halfbeak landings increased rapidly in the late 1960's but are now relatively stable (about 450,000 kg or 1 million lb annually), and their ex-vessel price is about $600,000. Fishing methods, which had changed in the late 1960's when landings increased, have changed little since the 1970's. Data from a fishery-dependent survey (1988-91) show that catch rates were highest from October to February, when catches were dominated by large ballyhoo (>200 mm or 8 inches fork length (FL)); rates were lowest from May to September, when catches contained both species in more equal numbers and the size range was greater (about 150-250 mm FL) than it was for winter landings. There was little bycatch, and only flyingfishes (Exocoetidae) and needlefishes (Belonidae) occurred consistently. Comparisons of the 1988-91 data with similar data reported from 1974 indicated that halfbeak populations have remained relatively stable

Guidelines for Line-Oriented Flight Training, Volume 1

Line-Oriented Flight Training (LOFT) is a developing training technology which synthesizes high-fidelity aircraft simulation and high-fidelity line-operations simulation to provide realistic, dynamic pilot training in a simulated line environment. LOFT is an augmentation of existing pilot training which concentrates upon command, leadership, and resource management skills. This report, based on an NASA/Industry workshop held in January, 1981, is designed to serve as a handbook for LOFT users. In addition to providing background information, guidelines are presented for designing LOFT scenarios, conducting real-time LOFT operations, pilot debriefing, and instructor qualification and training. The final chapter addressed other uses of LOFT and line-operations (or full-mission) simulation

Multi-Decadal Analysis of Remotely Sensed Vegetation Change in Berea College Forest - Seasonality of Forest Patterns using Remote Sensing

Satellite imagery is a practical and valuable tool for monitoring vegetation condition in forests. The longevity of the USGS/NASA Landsat program along with its medium spatial resolution (30m) gives researchers the ability to make informed statements on land cover generally, and specifically on aspects such as forest conditions. The Landsat program’s nearly 50-year archive of imagery show how Earth’s surface has changed through modern development and how these developments have influenced forests. Google Earth Engine (GEE) is a cloud-based repository of satellite imagery dating as far back as the 1970s. This study utilizes Landsat 5-8 imagery from GEE to calculate the long-term vegetation structure trends in Berea College Forest (BCF) in Berea, Kentucky from 1984-2020. By calculating the average growing-season Normalized Difference Vegetation Index (NDVI) and using the Mann-Kendall trend test and Sen’s slope estimator, I evaluated the significance of vegetation productivity trends on a pixel-by-pixel basis. The results show that 68.47% of BCF displayed significant trends in NDVI, with most of these pixels associated with a positive trend, and NDVI values for the study area increased at a rate of 0.001985 units per year. These positive trends were mostly clustered in the northern head and eastern tail of BCF. The southern portion displayed a clustering of pixels with no significant trend. Significant negative trends were rare but present. The most noticeable negative trend is attributed to US Highway 421, which began construction in 1998. Understanding long-term vegetation dynamics in BCF will assist foresters in developing effective management plans

Guidelines for line-oriented flight training, volume 2

Current approaches to line-oriented flight training used by six American airlines are described. This recurrent training methodology makes use of a full-crew and full-mission simulation to teach and assess resource management skills, but does not necessarily fulfill requirements for the training and manipulation of all skills

Multi-decadal analysis of remotely sensed vegetation change in Berea College Forest - seasonality of forest patterns using remote sensing.

Satellite imagery is a practical and valuable tool for monitoring vegetation condition in forests. The longevity of the USGS/NASA Landsat program along with its medium spatial resolution (30m) gives researchers the ability to make informed statements on land cover generally, and specifically on aspects such as forest conditions. The Landsat program’s nearly 50-year archive of imagery show how Earth’s surface has changed through modern development and how these developments have influenced forests. Google Earth Engine (GEE) is a cloud-based repository of satellite imagery dating as far back as the 1970s. This study utilizes Landsat 5-8 imagery from GEE to calculate the long-term vegetation structure trends in Berea College Forest (BCF) in Berea, Kentucky from 1984-2020. By calculating the average growing-season Normalized Difference Vegetation Index (NDVI) and using the Mann-Kendall trend test and Sen’s slope estimator, I evaluated the significance of vegetation productivity trends on a pixel-by-pixel basis. The results show that 68.47% of BCF displayed significant trends in NDVI, with most of these pixels associated with a positive trend, and NDVI values for the study area increased at a rate of 0.001985 units per year. These positive trends were mostly clustered in the northern head and eastern tail of BCF. The southern portion displayed a clustering of pixels with no significant trend. Significant negative trends were rare but present. The most noticeable negative trend is attributed to US Highway 421, which began construction in 1998. Understanding long-term vegetation dynamics in BCF will assist foresters in developing effective management plans

What causes the word gap? Financial concerns may systematically suppress child-directed speech

Parents with fewer educational and economic resources (low socioeconomic-status, SES) tend to speak less to their children, with consequences for children’s later life outcomes. Despite this well-established and highly popularized link, surprisingly little research addresses why the SES “word gap” exists. Moreover, existing research focuses on individual-level explanations with little attention to structural constraints with which parents must contend. In two pre-registered studies, we test whether experiencing financial scarcity itself can suppress caregivers’ speech to their children. Study 1 suggests that caregivers who are prompted to reflect on scarcity—particularly those who reflect on financial scarcity—speak to their 3-year-olds less than a control group in a subsequent play session. Study 2 finds that caregivers speak less to their children at the end of the month—when they are more likely to be experiencing financial hardship—than the rest of the month. Thus, above and beyond the individual characteristics of parents, structural constraints may affect how much parents speak to their children