An inherited albumin variant with enhanced affinity for the Amerlex thyroxin-analog.

1988 ◽  
Vol 34 (3) ◽  
pp. 602-604
Author(s):  
N C France ◽  
J F Speed ◽  
J V Conaglen
Keyword(s):  
Analog Method ◽  
Albumin Variant

Abstract We describe two siblings with artefactually increased results for free thyroxin in serum as measured with the Amerlex analog method, despite normal thyroxin transport. The cause of the artefact is identified as a variant albumin with enhanced affinity for the Amerlex thyroxin-analog.

Influence of similarity measures on the performance of the analog method for downscaling daily precipitation

2007 ◽  
Vol 30 (2-3) ◽  
pp. 133-144 ◽  
Author(s):  
C. Matulla ◽  
X. Zhang ◽  
X. L. Wang ◽  
J. Wang ◽  
E. Zorita ◽  
...  
Keyword(s):  
Daily Precipitation ◽  
Similarity Measures ◽  
Analog Method

Analog Models for Empirical-Statistical Downscaling

2021 ◽  
Author(s):  
María Laura Bettolli
Keyword(s):  
Statistical Downscaling ◽  
Climate Models ◽  
Global Climate ◽  
Regional Climate ◽  
Weather Conditions ◽  
Climate Information ◽  
Analog Method ◽  
Weather Typing ◽  
Regional Climates ◽  
Local Weather

Global climate models (GCM) are fundamental tools for weather forecasting and climate predictions at different time scales, from intraseasonal prediction to climate change projections. Their design allows GCMs to simulate the global climate adequately, but they are not able to skillfully simulate local/regional climates. Consequently, downscaling and bias correction methods are increasingly needed and applied for generating useful local and regional climate information from the coarse GCM resolution. Empirical-statistical downscaling (ESD) methods generate climate information at the local scale or with a greater resolution than that achieved by GCM by means of empirical or statistical relationships between large-scale atmospheric variables and the local observed climate. As a counterpart approach, dynamical downscaling is based on regional climate models that simulate regional climate processes with a greater spatial resolution, using GCM fields as initial or boundary conditions. Various ESD methods can be classified according to different criteria, depending on their approach, implementation, and application. In general terms, ESD methods can be categorized into subgroups that include transfer functions or regression models (either linear or nonlinear), weather generators, and weather typing methods and analogs. Although these methods can be grouped into different categories, they can also be combined to generate more sophisticated downscaling methods. In the last group, weather typing and analogs, the methods relate the occurrence of particular weather classes to local and regional weather conditions. In particular, the analog method is based on finding atmospheric states in the historical record that are similar to the atmospheric state on a given target day. Then, the corresponding historical local weather conditions are used to estimate local weather conditions on the target day. The analog method is a relatively simple technique that has been extensively used as a benchmark method in statistical downscaling applications. Of easy construction and applicability to any predictand variable, it has shown to perform as well as other more sophisticated methods. These attributes have inspired its application in diverse studies around the world that explore its ability to simulate different characteristics of regional climates.

scholarly journals Development and comparative evaluation of a stochastic analog method to downscale daily GCM precipitation

2013 ◽  
Vol 17 (11) ◽  
pp. 4481-4502 ◽  
Author(s):  
S. Hwang ◽  
W. D. Graham
Keyword(s):  
Bias Correction ◽  
Daily Precipitation ◽  
Transition Probabilities ◽  
Small Scale ◽  
Analog Method ◽  
Dry Spell ◽  
Spatial Disaggregation ◽  
Dry Seasons ◽  
Stochastic Analog ◽  
Wet And Dry Seasons

Abstract. There are a number of statistical techniques that downscale coarse climate information from general circulation models (GCMs). However, many of them do not reproduce the small-scale spatial variability of precipitation exhibited by the observed meteorological data, which is an important factor for predicting hydrologic response to climatic forcing. In this study a new downscaling technique (Bias-Correction and Stochastic Analog method; BCSA) was developed to produce stochastic realizations of bias-corrected daily GCM precipitation fields that preserve both the spatial autocorrelation structure of observed daily precipitation sequences and the observed temporal frequency distribution of daily rainfall over space. We used the BCSA method to downscale 4 different daily GCM precipitation predictions from 1961 to 1999 over the state of Florida, and compared the skill of the method to results obtained with the commonly used bias-correction and spatial disaggregation (BCSD) approach, a modified version of BCSD which reverses the order of spatial disaggregation and bias-correction (SDBC), and the bias-correction and constructed analog (BCCA) method. Spatial and temporal statistics, transition probabilities, wet/dry spell lengths, spatial correlation indices, and variograms for wet (June through September) and dry (October through May) seasons were calculated for each method. Results showed that (1) BCCA underestimated mean daily precipitation for both wet and dry seasons while the BCSD, SDBC and BCSA methods accurately reproduced these characteristics, (2) the BCSD and BCCA methods underestimated temporal variability of daily precipitation and thus did not reproduce daily precipitation standard deviations, transition probabilities or wet/dry spell lengths as well as the SDBC and BCSA methods, and (3) the BCSD, BCCA and SDBC methods underestimated spatial variability in daily precipitation resulting in underprediction of spatial variance and overprediction of spatial correlation, whereas the new stochastic technique (BCSA) replicated observed spatial statistics for both the wet and dry seasons. This study underscores the need to carefully select a downscaling method that reproduces all precipitation characteristics important for the hydrologic system under consideration if local hydrologic impacts of climate variability and change are going to be reasonably predicted. For low-relief, rainfall-dominated watersheds, where reproducing small-scale spatiotemporal precipitation variability is important, the BCSA method is recommended for use over the BCSD, BCCA, or SDBC methods.

scholarly journals POLA ASUH ANAK CERDAS ISTIMEWA DENGAN METODE ALA ROSULULLAH SAW

2018 ◽  
Vol 5 (2) ◽  
pp. 375
Author(s):  
Novita Pancaningrum
Keyword(s):  
Research Method ◽  
Teaching Method ◽  
Gifted Children ◽  
Gifted Child ◽  
Analog Method ◽  
Know How ◽  
Method Selection ◽  
Library Research ◽  
Drawing Method ◽  
Good Attitude

<p>Abstract: PARENTING OF GIFT CHILD BY USING RASULULLAH SAW<br />METHOD. This Study’s aim is to know how Rosulullah’s methods is use for<br />Gifted Child. Gifted Child are children with Intelligence above others. They<br />are independent Children, doing something by themselves, don’t like being<br />ordered, and creating ideas. They are Children with Intelligence above 130<br />(Weschler’s scale). They have high and deep thinking and different attitude<br />if we compare them with the normal intelligence children. The method to<br />teach them have to adapted with their need. From 40’s method that found<br />by Abdul Fattah Abu Ghuddah, we just use 10’s method to be used for<br />Gifted Children: Modelling and Good Attitude method, Graduation<br />Teaching method, Situation and Condition’s method, Selection and<br />Competency method, Interaction (Ask and Answer) method, Question<br />method (rational thinking) Intelligence method, Analog method, Similarity<br />method, Drawing method. This study use Library Research Method. From<br />this study, we know that Rosulullah’s methods are appropriate to teach<br />Gifted Children with seeing each Gifted Child condition.</p><p>Abstrak: Penelitian ini bertujuan untuk mengetahui bagaimana pola asuh<br />ala Rosul diterapkan pada anak cerdas istimewa. Anak Cerdas Istimewa<br />adalah anak dengan kepandaian di atas rata-rata teman sebayanya.<br />Mereka merupakan anak yang mandiri, bertingkah laku autodidak, tidak<br />bisa didikte, dan penghasil konsep/pencipta ide. Dengan tingkat<br />Intelegensi di atas 130 (skala Weschler) mereka memiliki pola pemikiran<br />tingkat tinggi dan tidak bisa disamakan dengan teman sebayanya yang<br />memiliki Intelegensi normal. Pola pendidikan dan pengasuhan pun harus<br />disesuaikan dengan kebutuhan mereka. Dari 40 Metode Rosulullah yang<br />ditemukan Abdul Fattah Abu Ghuddah, peneliti hanya memakai 10 metode<br />yang diterapkan pada Anak Cerdas Istimewa, yaitu: Metode Modelling dan<br />Etika Mulia, Metode Pengajaran Graduasi, Metode Situasional dan<br />Kondisional, Metode Selektif dan disesuaikan dengan kompetensi Peserta<br />Didik, Metode Interaktif-Dialogis (Tanya Jawab), Metode Pertanyaan<br />(berpikir logis/rasional), Metode Pertanyaan untuk menyelami kecerdasan<br />dan pemahaman, Metode Analogi, Metode Tasybih (membuat persamaan<br />antara beberapa hal yang berbeda), Metode menulis (menggambar).<br />Penelitian ini menggunakan metode library research. Dari penelitian ini<br />ditemukan bahwa Metode Rosulullah semuanya tepat dalam mendidik<br />Anak Cerdas Istimewa, dengan menyesuaikan kondisi masing-masing Anak<br />Cerdas Istimewa.</p>

More on the Amerlex kit analog method for thyroxin.

1986 ◽  
Vol 32 (6) ◽  
pp. 1243-1246
Author(s):  
R P Ekins ◽  
T M Jackson ◽  
P Edwards
Keyword(s):  
Analog Method

Expression of a Human Serum Albumin Variant with High Affinity for Thyroxine

1995 ◽  
Vol 214 (3) ◽  
pp. 1121-1129 ◽  
Author(s):  
C.E. Petersen ◽  
C.E. Ha ◽  
M. Mandel ◽  
N.V. Bhagavan
Keyword(s):  
Human Serum Albumin ◽  
Serum Albumin ◽  
Human Serum ◽  
High Affinity ◽  
Albumin Variant

scholarly journals Downscaling Extreme Precipitation from CMIP5 Simulations Using Historical Analogs

2017 ◽  
Vol 56 (9) ◽  
pp. 2421-2439 ◽  
Author(s):  
Christopher M. Castellano ◽  
Arthur T. DeGaetano
Keyword(s):  
Return Period ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Precipitation Extremes ◽  
Cmip5 Models ◽  
Composite Analysis ◽  
Analog Method ◽  
Precipitation Frequency ◽  
Weather Patterns ◽  
Synoptic Weather

AbstractAn approach for downscaling daily precipitation extremes using historical analogs is applied to simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5). The method employs a multistep procedure in which the occurrence of extreme precipitation on a given target day is determined on the basis of the probability of extreme precipitation on that day’s closest historical analogs. If extreme precipitation is expected, daily precipitation observations associated with the historical analogs are used to approximate precipitation amounts on the target day. By applying the analog method to historical simulations, the ability of the CMIP5 models to simulate synoptic weather patterns associated with extreme precipitation is assessed. Differences between downscaled and observed precipitation extremes are investigated by comparing the precipitation frequency distributions for a subset of rarely selected extreme analog days with those for all observed days with extreme precipitation. A supplemental composite analysis of the synoptic weather patterns on these rarely selected analog days is utilized to elucidate the meteorological factors that contribute to such discrepancies. Overall, the analog method as applied to CMIP5 simulations yields realistic estimates of historical precipitation extremes, with return-period precipitation biases that are comparable in magnitude to those obtained from dynamically downscaled simulations. The analysis of rarely selected analog days reveals that precipitation amounts on these days are generally larger than precipitation amounts on all days with extreme precipitation, leading to an underestimation of return-period precipitation amounts at many stations. Furthermore, the synoptic composite analysis reveals that tropical cyclones are a common feature on these rarely selected analog days.

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