Effect of Neuro-Linguistic Programming (NLP) on Anxiety: A Systematic Literature Review

Anxiety is a feeling of helplessness, and worry about things that are not clear, as well as a comprehensive feeling that something bad is going to happen. Anxiety is experienced subjectively and communicated interpersonally, at the same time feelings of anxiety are a necessary survival instinct. The Neuro-Linguistic Programming (NLP) is a communicative approach employs a positive view of anxiety and how it can help shape life changes, and that is the topic of this article. This research method uses a Systematic Literature Review, investigating Garuda, Pubmed, ScienceDirect, and Proquest, using boolean for keyword neurolinguistics programming (NLP) and anxiety. The inclusion criteria used were Indonesian and English language articles written within the last 5 years (from 2015 until 2020). The exclusion criteria used by the article were abstract writing style, inaccessible, or lacking national accreditation. Articles were tested with Critical Appraisal Tools. The studies indicate that good communication using NLP can help reduce anxiety and can promote changes in a person’s behavior patterns. There are several NLP techniques including sensory acuity, reframing, anchoring, rapport, and pacing, and leading. NLP can improve knowledge, skills and attitudes, communication skills, self-management, mental health, reduce work stress, and self-efficacy.   Keywords: Anxiety, Neuro-Linguistic Programming, NL

JACIE: A Model Partnership

The National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), the United States Department of Agriculture (USDA), and the United States Geological Survey (USGS), and their associates and partners, are directly responsible for establishing and leading a unique interagency team of scientists and engineers who work together to evaluate and enhance the quality remote sensing data for commercial and government use. This team is called "the Joint Agency Commercial Imagery Evaluation (JACIE) team". The team works together to define, prioritize, assign, and assess civil and commercial image quality and jointly sponsors an annual JACIE Civil Commercial Imagery Evaluation workshop with participation support from the remote sensing calibration and validation science community

Development of interconnected silicon micro-evaporators for the on-detector electronics cooling of the future ITS detector in the ALICE experiment at LHC

This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the Process Intensification Network, the Institution of Mechanical Engineers, the Heat Transfer Society, HEXAG - the Heat Exchange Action Group, and the Energy Institute, ASME Press, LCN London Centre for Nanotechnology, UCL University College London, UCL Engineering, the International NanoScience Community, www.nanopaprika.eu.The design of the future High Energy Physics (HEP) particle detectors for the upgrade of the LHC (Large Hadron Collider) experiments at CERN (European Organization for Nuclear Research) is pushing technological frontiers to the limit trying to reach unprecedented accuracy in particles identification and particle production dynamics in ultra-relativistic hadron collisions. The thermal management of the on-detector electronics and the development of low mass integrated cooling systems have become a crucial task in the design of silicon tracking detectors for HEP applications. In this paper, we present a novel concept of low mass interconnected silicon microchannel devices for the future Inner Tracking System of the ALICE (A Large Ion Collider Experiment) detector at LHC. This innovative design achieves the requirements of the detector while minimizing the total material budget

Cooling of microprocessors using flow boiling of CO2 in a micro-evaporator : preliminary analysis and performance comparisons

Paper presented at the 6th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, South Africa, 30 June - 2 July, 2008.No abstract available, please open full text articlevk201

Influencing factors on flow boiling of carbon dioxide in enhanced tubes and comparison with correlations

Carbon dioxide two-phase flow characteristics are different from those of conventional refrigerants, due to the CO2 particular thermodynamic and transport properties obtained by working at high reduced pressures. Moreover, the use of peculiar heat transfer surfaces such as grooves and internal fins are often preferred to enhance the boiling heat transfer performance. This paper collects CO2 flow boiling heat transfer coefficient data from different independent databases available in scientific literature, regarding both smooth and enhanced geometries and a wide range of operative conditions, that are typical of refrigeration systems and heat pumps. The database for enhanced tubes covers internal diameters from 0.8 to 8.92 mm, saturation temperatures from -30 to +20 °C, imposed heat fluxes from 1.67 to 60 kW/m2 and mass velocities from 75 to 800 kg/m2s, collecting more than 800 points. Heat transfer data for smooth and enhanced surfaces under the same conditions are collected, in order to measure the enhancement and to correlate it to the geometry augmentation. The assessment of quoted prediction methods explicitly developed for carbon dioxide is finally carried out, with a proposal for a correction factor

Aquilegia, Vol. 29 No. 3, May-July 2005: Newsletter of the Colorado Native Plant Society

https://epublications.regis.edu/aquilegia/1105/thumbnail.jp

Terrestrial Applications of the Thermal Infrared Sensor, TIRS

Landsat satellites have acquired single-band thermal images since 1978. The next satellile in the heritage, Landsat Data Continuity Mission (LDCM), is scheduled to launch in December 2012. LDCM will contain the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS), where TIRS operates in concert with, but independently of OLI. This paper will provide an overview of the remote sensing instrument TIRS. The T1RS instrument was designed at National Aeronautics and Space Administration's (NASA) Goddard Space Flight Center (GSFC) where it will be fabricated and calibrated as well. Protecting the integrity of the Scientific Data that will be collected from TIRS played a strong role in definition of the calibration test equipment and procedures used for the optical, radiometric, and spatial calibration. The data that will be produced from LCDM will continue to be used world wide for environment monitoring and resource management

Comparison of MODIS Land Surface Temperature and Air Temperature over the Continental USA Meteorological Stations

The National Land Cover Database (NLCD) Impervious Surface Area (ISA) and MODIS Land Surface Temperature (LST) are used in a spatial analysis to assess the surface-temperature-based urban heat island's (UHIS) signature on LST amplitude over the continental USA and to make comparisons to local air temperatures. Air-temperature-based UHIs (UHIA), calculated using the Global Historical Climatology Network (GHCN) daily air temperatures, are compared with UHIS for urban areas in different biomes during different seasons. NLCD ISA is used to define urban and rural temperatures and to stratify the sampling for LST and air temperatures. We find that the MODIS LST agrees well with observed air temperature during the nighttime, but tends to overestimate it during the daytime, especially during summer and in nonforested areas. The minimum air temperature analyses show that UHIs in forests have an average UHIA of 1 C during the summer. The UHIS, calculated from nighttime LST, has similar magnitude of 1-2 C. By contrast, the LSTs show a midday summer UHIS of 3-4 C for cities in forests, whereas the average summer UHIA calculated from maximum air temperature is close to 0 C. In addition, the LSTs and air temperatures difference between 2006 and 2011 are in agreement, albeit with different magnitude

Uncertainties on Central Exclusive Scalar Luminosities from the unintegrated gluon distributions

In a previous report we used the Linked Dipole Chain model unintegrated gluon densities to investigate the uncertainties in the predictions for central exclusive production of scalars at hadron colliders. Here we expand this investigation by also looking at other parameterizations of the unintegrated gluon density, and look in more detail on the behavior of these at small k_T. We confirm our conclusions that the luminosity function for central exclusive production is very sensitive to this behavior. However, we also conclude that the available densities based on the CCFM and LDC evolutions are not constrained enough to give reliable predictions even for inclusive Higgs production at the LHC