Self-regulated learning and knowledge sharing in the workplace

This study explores how experts in a global multinational company self-regulate their learning. It investigates experts‟ perceptions of the impact of knowledge sharing on their learning and work. Findings indicate that self-regulated learning (SRL) is a highly social process that is structured by and deeply integrated with work tasks. Experts tend to draw heavily upon their personal networks of trusted colleagues in the process of diagnosing and attaining their learning goals. In contradiction to existing models, SRL in the workplace does not appear to be a clearly delineated, linear process comprised of discrete stages. Further research is needed to understand tacit practices of SRL in the workplace

The Lived Experience of Older, Independent Residents During the COVID-19 Pandemic

The growing older population confronting the risks of the COVID-19 pandemic have a story to tell of their experiences that may influence the way society confronts future pandemics. Little research has been done on older adults in independent living communities and their experiences with the COVID-19 pandemic. This study aimed to fill that gap using the biopsychosocial model as a framework to guide the exploration of the research question addressing the lived experiences of older, independent residents during the COVID-19 pandemic. Using a basic qualitative analysis design, a purposive sample of 10 participants from a continuing care retirement community were recruited by flyer for telephone interviews. Participant inclusion criteria were they must be 65 years old or older, lived at the facility since the onset of the COVID-19 pandemic, display no self-reported cognitive disability, and be fluent in English. The interview questions were developed from the literature review, theoretical framework, and pilot tests. Each interview was transcribed verbatim, coded in vivo, and sorted by codes before being analyzed thematically. Results indicated that participants were resilient and grateful while at the same time suffering from loneliness and grief. A surprising result was that the majority of participants responded in the negative to questions about depression and anxiety, known as the positivity effect. The implications for positive social change are twofold; the findings can be used (a) for the prospective development of marketing applications in health that take advantage of the positivity effect evidenced by older adults and (b) to develop a greater understanding of the older adult and improve communication with this cohort

Temperature, Hatch Date, and Prey Availability Influence Age-0 Yellow Perch Growth and Survival

Throughout their range, Yellow Perch Perca flavescens are an important ecological and economic component of many fisheries, but they often exhibit highly variable recruitment. Much research effort has been devoted to better understanding the mechanisms responsible for these erratic recruitment patterns, yet few studies have examined this process at the detail necessary to reveal complex interactions that may exist across multiple early life stages. Our current understanding of the early life recruitment patterns of Yellow Perch suggests a strong abiotic component. Using existing information, we developed three working hypotheses to examine Yellow Perch recruitment at two larval stages (5–14 and 15–24 d old) and to further identify the overarching mechanisms (abiotic versus biotic) related to Yellow Perch recruitment in 332-ha Pelican Lake, Nebraska, during 2004–2012. Larval Yellow Perch growth and mortality were largely regulated by hatching date, temperature, and zooplankton availability. The growth of young larval Yellow Perch (5–14 d old) was positively related to temperature and hatch date; that of old larval perch (15–24 d old) was positively related to water temperature and postlarval age-0 (≤25 mm TL) Yellow Perch density but negatively related to the available preferred zooplankton biomass. Mortality was inversely related to total zooplankton biomass and water temperature. Our results describe a model with two potential Yellow Perch recruitment bottlenecks, one immediately posthatch that is regulated by hatch date and temperature and another during the older larval stage that is regulated by temperature and zooplankton

USING OTOLITH MICROCHEMISTRY TO CLASSIFY YELLOW PERCH AS STOCKED OR NATURALLY PRODUCED

Fisheries managers routinely use stocking to supplement fish populations (Schramm and Piper 1995, Fisher 1996). Stocking eyed-eggs offers substantial cost savings compared to stocking fry and fingerlings (PFBC 2011); however, traditional stocking evaluation using oxytetracycline (OTC) marking of otoliths is ineffective for eyed-eggs of some species (e.g., yellow perch, [Perca fla- vescens]). Thus, there is a need for additional approaches to be able to classify fish as stocked or naturally produced. Fish otoliths are paired calcified structures in the inner ear that permanently deposit trace elements in proportion to water column concentrations (Campana 1999, Campana et al. 2000). Coupled with otolith growth increments (i.e., annuli), elemental accumulation permits retrospective evaluation of environmental history (e.g., natal origins, movement) if water chemistry is spatially heterogeneous and temporally constant (Elsdon et al. 2008). Otolith microchemistry can be used to evaluate stocking contributions (Pracheil et al. 2014) and in the context of eyed-egg stockings, may be useful for classifying fish as stocked or naturally produced. Yellow perch is a popular sport fish species in South Dakota (Gigliotti 2007) and is routinely stocked by fisheries managers to supplement weak year classes (Schoene- beck et al. 2010). The South Dakota Department of Game, Fish and Parks (SDGFP) propagates yellow perch for stocking (e.g., eyed-eggs, fry, fingerlings) and also stocks adult perch through trap and transfer operations (Lott 1991, Fisher 1996). However, the contributions of yellow perch stockings in South Dakota are largely unknown because it is difficult to differentiate stocked fish from resident individuals (Brown and St. Sauver 2002). Our objective was to assess the utility of otolith microchemistry to distinguish hatchery-reared yellow perch stocked at the eyed-egg stage from naturally produced individuals

Temperature, Hatch Date, and Prey Availability Influence Age-0 Yellow Perch Growth and Survival

Throughout their range, Yellow Perch Perca flavescens are an important ecological and economic component of many fisheries, but they often exhibit highly variable recruitment. Much research effort has been devoted to better understanding the mechanisms responsible for these erratic recruitment patterns, yet few studies have examined this process at the detail necessary to reveal complex interactions that may exist across multiple early life stages. Our current understanding of the early life recruitment patterns of Yellow Perch suggests a strong abiotic component. Using existing information, we developed three working hypotheses to examine Yellow Perch recruitment at two larval stages (5–14 and 15–24 d old) and to further identify the overarching mechanisms (abiotic versus biotic) related to Yellow Perch recruitment in 332-ha Pelican Lake, Nebraska, during 2004–2012. Larval Yellow Perch growth and mortality were largely regulated by hatching date, temperature, and zooplankton availability. The growth of young larval Yellow Perch (5–14 d old) was positively related to temperature and hatch date; that of old larval perch (15–24 d old) was positively related to water temperature and postlarval age-0 (≤25 mm TL) Yellow Perch density but negatively related to the available preferred zooplankton biomass. Mortality was inversely related to total zooplankton biomass and water temperature. Our results describe a model with two potential Yellow Perch recruitment bottlenecks, one immediately posthatch that is regulated by hatch date and temperature and another during the older larval stage that is regulated by temperature and zooplankton