The Place of Storytelling Research in English Language Teaching: The State of the Art

Storytelling techniques serve as dynamic tools for enhancing language skills, encompassing both receptive (listening, reading) and productive (speaking, writing) proficiencies. In contrast to their non-narrative counterparts, these techniques offer a more potent array of teaching methodologies. This study aims to elucidate the current landscape of research concerning the efficacy of storytelling techniques. Initially, the investigation delves into the cognitive processing of narratives. Stories engage language processing centers, invigorate the visual cortex, evoke emotive responses, and facilitate comprehension of intricate information. Subsequently, the study explores linguistic processing theory and embodied cognition theory. Through an exhaustive literature review, this research applies a rigorous evidence synthesis method to assess selected studies, culminating in the amalgamation of findings when comparability permits. The study unveils that storytelling techniques foster reading and listening comprehension, bolster speaking and writing skills, and kindle creativity and imagination. Moreover, enhancements span vocabulary, grammar, and syntax. Nonetheless, while generally efficacious, the uniformity of effectiveness across diverse learners remains a nuanced aspect

Case ascertainment of heat illness in the British Army: evidence of under-reporting from analysis of Medical and Command notifications, 2009-2013.

Heat illness in the Armed Forces is considered preventable. The UK military relies upon dual Command and Medical reporting for case ascertainment, investigation of serious incidents and improvement of preventive practices and policy. This process could be vulnerable to under-reporting.To establish whether heat illness in the British Army has been under-reported, by reviewing concordance of reporting to the Army Incident Notification Cell (AINC) and the Army Health Unit (AHU) and to characterise the burden of heat illness reported by these means.Analysis of anonymised reporting databases held by the AHU and AINC, for the period 2009-2013.565 unique cases of heat illness were identified. Annual concordance of reporting ranged from 9.6% to 16.5%. The overall rate was 13.3%. July was the month with the greatest number of heat illness reports (24.4% of total reporting) and the highest concordance rate (30%). Reports of heat illness from the UK (n=343) exceeded overseas notifications (n=221) and showed better concordance (17.1% vs 12.8%). The annual rate of reported heat illness varied widely, being greater in full-time than reservist personnel (87 vs 23 per100 000) and highest in full-time untrained personnel (223 per100 000).The risk of heat illness was global, year-round and showed dynamic local variation. Failure to dual-report casualties impaired case ascertainment of heat illness across Command and Medical chains. Current preventive guidance, as applied in training and on operations, should be critically evaluated to ensure that risk of heat illness is reduced as low as possible. Clear procedures for casualty notification and surveillance are required in support of this and should incorporate communication within and between the two reporting chains

Promoting evidence-based decision making in a local health department, Pueblo City-County, Colorado

BACKGROUND: Evidence-based decision making (EBDM) is an effective strategy for addressing population health needs. Assessing and reducing barriers to using EBDM in local health departments may improve practice and provide insight into disseminating EBDM principles among public health practitioners. COMMUNITY CONTEXT: Administrative leaders at the Pueblo City–County Health Department, Pueblo, Colorado, used a systematic approach for implementing EBDM. Research partners engaged staff to understand factors that increase or deter its use. METHODS: A survey was distributed to staff members at baseline to identify gaps in administrative and individual practice of EBDM. In-depth interviews were also conducted with 11 randomly selected staff members. Results were shared with staff and administration, after which activities were implemented to improve application of EBDM. A follow up survey was administered 1 year after the initial assessment. OUTCOME: Survey data showed evidence of progress in engaging and educating staff members, and data showed improved attitudes toward EBDM (ie, several items showed significant improvement from baseline to follow-up). For example, staff members reported having the necessary skills to develop evidence-based interventions (73.9%), the ability to effectively communicate information on evidence-based strategies to policy makers (63.0%), access to current information on improving EBDM processes (65.2%), and a belief that evidence-based interventions are designed to be self-sustaining (43.5%). INTERPRETATION: Within a local health department in which leaders have made EBDM a priority, addressing the culture and climate of the department may build EBDM. Future research may provide insight into tailoring EBDM within and across local health departments

Towards the representation of groundwater in the Joint UK Land Environment Simulator

Groundwater is an important component of the hydrological cycle with significant interactions with soil hydrological processes. Recent studies have demonstrated that incorporating groundwater hydrology in land surface models (LSMs) considerably improves the prediction of the partitioning of water components (e.g., runoff and evapotranspiration) at the land surface. However, the Joint UK Land Environment Simulator (JULES), an LSM developed in the United Kingdom, does not yet have an explicit representation of groundwater. We propose an implementation of a simplified groundwater flow boundary parameterization (JULES‐GFB), which replaces the original free drainage assumption in the default model (JULES‐FD). We tested the two approaches under a controlled environment for various soil types using two synthetic experiments: (1) single‐column and (2) tilted‐V catchment, using a three‐dimensional (3‐D) hydrological model (ParFlow) as a benchmark for JULES’ performance. In addition, we applied our new JULES‐GFB model to a regional domain in the UK, where groundwater is the key element for runoff generation. In the single‐column infiltration experiment, JULES‐GFB showed improved soil moisture dynamics in comparison with JULES‐FD, for almost all soil types (except coarse soils) under a variety of initial water table depths. In the tilted‐V catchment experiment, JULES‐GFB successfully represented the dynamics and the magnitude of saturated and unsaturated storage against the benchmark. The lateral water flow produced by JULES‐GFB was about 50% of what was produced by the benchmark, while JULES‐FD completely ignores this process. In the regional domain application, the Kling‐Gupta efficiency (KGE) for the total runoff simulation showed an average improvement from 0.25 for JULES‐FD to 0.75 for JULES‐GFB. The mean bias of actual evapotranspiration relative to the Global Land Evaporation Amsterdam Model (GLEAM) product was improved from −0.22 to −0.01 mm day−1. Our new JULES‐GFB implementation provides an opportunity to better understand the interactions between the subsurface and land surface processes that are dominated by groundwater hydrology