The challenge for nursing leaders responsible for workforce planning is to predict the knowledge, skills and abilities required to lead future healthcare delivery systems effectively. Succession planning requires a constant, competitive pool of qualified nursing leader candidates, and retention of those interested in career growth. Formal nursing leadership education in the United States is available through graduate education and professional nursing organisation programmes, such as the Emerging Nurse Leader Institute of the American Organization of Nurse Executives. However, there is also a need for local development programmes tailored to the needs of individual organisations. Leaders at Geisinger Health System, one of the largest rural health systems in the US, identified the need for an internal professional development scheme for nurses. In 2013 the Nurses Emerging as Leaders programme was developed to prepare nurse leaders for effective leadership and successful role transition. This article describes the programme and an evaluation of its effectiveness.

The problem of formulating knowledge bases containing action schema is a central concern in knowledge engineering for AI Planning. This paper describes LOCM, a system which carries out the automated generation of a planning domain model from example training plans. The novelty of LOCM is that it can induce action schema without being provided with any information about predicates or initial, goal or intermediate state descriptions for the example action sequences. Each plan is assumed to be a sound sequence of actions; each action in a plan is stated as a name and a list of objects that the action refers to. LOCM exploits assumptions about the kinds of domain model it has to generate, rather than handcrafted clues or planner-oriented knowledge. It assumes that actions change the state of objects, and require objects to be in a certain state before they can be executed. In this paper we describe the implemented LOCM algorithm, the assumptions that it is based on, and an evaluation using plans generated through goal directed solutions, through random walk, and through logging human generated plans for the game of Freecell. We analyse the performance of LOCM by its application to the induction of domain models from five domains.

Under the semiarid climate of the Southwest United States, accurate estimation of crop water use is important for water management and planning under conservation agriculture. The objectives of this study were to estimate maize water use and water productivity in the Four Corners region of New Mexico. Maize was grown under full irrigation during the 2011, 2012, 2013, 2014 and 2017 seasons at the Agricultural Science Center at Farmington (NM). Seasonal amounts of applied irrigation varied from 576.6 to 1051.6 mm and averaged 837.7 mm and the total water supply varied from 693.4 to 1140.5 mm. Maize actual evapotranspiration was estimated using locally developed crop coefficient curve and the tabulated United Nations Food and Agriculture Organization (FAO) crop coefficients, and from this maize water productivity was determined. Maize actual daily evapotranspiration (ETa) varied from 0.23 to 10.2 mm and the seasonal ETa varied with year and ranged from 634.2 to 697.7 mm averaging 665.3 mm by the local Kc curve, from 687.3 to 739.3 mm averaging 717.8 mm by the non-adjusted FAO Kc values, and from 715.8 to 779.6 mm averaging 754.9 mm with the FAO adjusted Kc values. Maize irrigation requirements varied from 758.4 to 848.3 mm and averaged 800.2 mm using the local developed Kc and varied from 835.5 to 935.6 mm and averaged 912.2 mm using FAO Kc. The net irrigation requirement varied from 606.8 to 678.6 using local Kc curve, and from 682.78 to 748.5 mm when adopting the FAO Kc values. Average irrigation requirement was 641 mm under the local Kc option and 730 mm under FAO Kc values option. Maize crop water use efficiency (CWUE) ranged from 1.3 to 1.9 kg/m 3 and averaged 1.53 kg/m 3 , evapotranspiration water use efficiency (ETWUE) values were higher than CWUE and varied from 2.0 to 2.3 kg/m 3 , averaging 2.1 kg/m 3. Maize irrigation water use efficiency (IWUE) was varied with years and averaged 1.74 kg/m 3. There were strong relationships between maize CWUE and maize seasonal irrigation amounts of IWUE and the seasonal irrigation amounts with R 2 of 0.97 and 0.92, respectively. Maize CWUE increased linearly with maize IWUE with a coefficient of determination R 2 of 0.99, while IWUE showed a strong quadratic relationship with ETWUE (R 2 = 0.94). The results of this study can be used as a guideline for maize water management under the semiarid conditions in northwestern New Mexico and other locations with similar climate and management conditions. Irrigation requirements for maize should be adjusted to the local meteorological conditions for optimizing maize irrigation requirement and improving maize water productivity.

This article describes solutions to one of the challenges that nursing programs throughout the nation face--the employment of clinically expert nurse practitioners and clinical nurse specialists as clinical adjunct faculty who lack the educational foundation to teach students. Some of the difficulties experienced by clinical adjunct faculty, university administrators, and full-time faculty are presented. Solutions described include a clinical adjunct workshop, collaboration between hospitals and universities, mentoring, and incorporation of technology. Collaboration, commitment, and thoroughness are essential to the development of the clinical adjunct in the role of clinical educator.

The public image of nurse professionalism is important. Attributes of a professional nurse, such as caring, attentive, empathetic, efficient, knowledgeable, competent, and approachable, or lack thereof, can contribute positively or negatively to the patient experience. Nurses at a hospital in central northeast Pennsylvania offer their story as they considered the impact of a wide variety of individual uniform and dress choices. This article describes an evidence based practice project and survey created to increase understanding of patient perceptions regarding the professional image of nurses in this facility. Exploring patient perception of nurse image provided insight into what patients view as important. A team approach included the voice of nurses at different levels in the process. Ultimately, this work informed a revision of the health system nursing dress code. The study team also reflects on challenges, next steps in the process, and offers recommendations based on their experiences.