Consistent Classification Scheme Research Articles

Pachychoroid Spectrum Disorders: An Updated Review.

Pachychoroid disease spectrum is a recent term that has been associated with an increasing number of phenotypes. This review discusses updated findings for each of the typical pachychoroid entities (central serous chorioretinopathy, pachychoroid pigment epitheliopathy, pachychoroid neovasculopathy, polypoidal choroidal vasculopathy, peripapillary pachychoroid syndrome, and focal choroidal excavation), as well as two relatively new additions (peripapillary pachychoroid neovasculopathy and peripheral exudative hemorrhagic chorioretinopathy). Here, we discuss the potential pathogenic mechanisms for these diseases and relevant imaging updates. Finally, we argue for a consistent classification scheme for these entities.

Methods for geothermal resource assessment of hot dry rock: A case study in the Gonghe Basin, China

Hot dry rock (HDR) geothermal resources are renewable energy source. Many of the findings of HDR resource evaluations have been used in energy planning and EGS design. However, to assess the amount of HDR resources in different locations, a consistent classification scheme and evaluation methods are still lacking. Considering geological credibility and economic feasibility, HDR resources are separated into three categories: vision, reserve, and exploitable. Vision and reserve are stationary resources that can be evaluated using the volume technique, and the exploitable resources can be evaluated using the numerical simulation approach. The HDR vision resource of the Gonghe Basin is evaluated to be 4.076 × 1022 J, and the reserve resource of the Qiabuqia HDR mass is evaluated to be 2.11 × 1020 J. At the Qiabuqia HDR development site, a discrete fracture network (DFN) model is applied for numerical simulation computations, which is based on the notion of local thermal nonequilibrium. The K1 and K2 wells produce varying amounts of heat due to the heterogeneous features of the fractured medium model, which is primarily due to differences in fracture density, heat exchange area, and fluid migration pattern. The categorization system and assessment technique can be used as a guide for evaluating HDR resources in the future.

Effect of assay choice, viral concentration and operator interpretation on infectious bronchitis virus detection and characterization

ABSTRACT Despite the efforts to achieve a consistent classification scheme based on the complete S1 gene, the genetic characterization of infectious bronchitis virus (IBV) is often performed on partial S1 regions due to economic and time constraints in the diagnostic routine. Sanger sequencing remains the most common and cost-effective option even if the analysis of samples where multiple field and vaccine strain populations coexist can lead to partial or misleading results. The present study aimed to evaluate the different diagnostic outcomes of three commonly used RT–PCR methods targeting two regions of the S1 gene. A possible bias in IBV detection and characterization was investigated in relation to the adopted method, the strain concentration as well as their ratio in mixed samples. Thirty samples were prepared by artificially mixing two vaccine strains, combined at different ratios and selected among four different IBV lineages, i.e. GI-1 (Mass), GI-13 (793/B), GI-19 (QX), GI-23 (Israeli Variant 2). Sequence analysis was conducted both manually and with bioinformatic methods. The result agreement among methods, replicates and analysis approaches was statistically evaluated. Consistent results emerged among the three assays, with a few discrepancies likely caused by primer affinity and target amount. This study confirms the complexity of IBV strain identification and highlights the importance of evaluating and updating the available diagnostic assays for a reliable detection of all circulating IBV strains.

Fast-track surgery for acute appendicitis in children: a systematic review of protocol-based care.

'Fast-track' surgery protocols aim to standardize and rationalize post-operative care, with evidence of safety and efficacy in both uncomplicated and complicated childhood appendicitis. Generalization for broader adoption has been limited by variation in protocol design, including specific antibiotic choice, discharge criteria, post-operative monitoring and patient selection. A systematic review of the literature was performed to evaluate the current evidence underpinning fast-track protocols for childhood appendicitis and identify areas of consensus and controversy. About 33 studies met the inclusion criteria, including four prospective observational studies, 20 case-control studies, seven cohort studies and two randomized controlled trials studying uncomplicated (n = 9), complicated (n = 18) and mixed cohorts (n = 6). Reduction in length of hospital stay was almost universally reported, with equivalent or improved complication rates. Key themes of protocols included antibiotic choice and duration, discharge criteria and post-operative laboratory and radiographic testing. Rationalized analgesia is an underexplored aspect of protocol design, and a standardized definition of complicated appendicitis remains elusive. Standardized care of childhood appendicitis has been shown to be safe and effective in several local and international centres. Next steps include investigation of a complicated appendicitis protocol that integrates rationalized analgesia in appendicectomy recovery, and development of a consistent classification scheme for complicated disease to aid in identification of amenable cohorts.

Reproductive phenologies of phyllostomid bats in Costa Rica

Abstract Reproductive phenologies of populations are strongly molded by environmental variation because natural selection favors individuals that time energetically demanding portions of their life cycle to correspond with periods of high resource availability. To evaluate how seasonal variation in abiotic characteristics and resources affects reproductive strategies, comparison among reproductive phenologies of species that use different resources and across geographic locations is crucial. To facilitate comparisons, it is essential to employ a rigorous and consistent classification scheme. Yet, few studies on the reproductive phenologies of bats, important seed dispersal and pollination agents in the tropics, have employed a clear or consistent classification scheme. We employed concise criteria to classify reproductive phenologies of frugivorous (Artibeus jamaicensis, A. watsoni, Carollia castanea, C. perspicillata, and C. sowelli) and nectarivorous (Glossophaga soricina) bat species, as well as 3 feed...

A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America

Land use and land cover (LULC) maps from remote sensing are vital for monitoring, understanding and predicting the effects of complex human–nature interactions that span local, regional and global scales. We present a method to map annual LULC at a regional spatial scale with source data and processing techniques that permit scaling to broader spatial and temporal scales, while maintaining a consistent classification scheme and accuracy. Using the Dry Chaco ecoregion in Argentina, Bolivia and Paraguay as a test site, we derived a suite of predictor variables from 2001 to 2007 from the MODIS 250 m vegetation index product (MOD13Q1). These variables included: annual statistics of red, near infrared, and enhanced vegetation index (EVI), phenological metrics derived from EVI time series data, and slope and elevation. For reference data, we visually interpreted percent cover of eight classes at locations with high-resolution QuickBird imagery in Google Earth. An adjustable majority cover threshold was used to assign samples to a dominant class. When compared to field data, we found this imagery to have georeferencing error < 5% the length of a MODIS pixel, while most class interpretation error was related to confusion between agriculture and herbaceous vegetation. We used the Random Forests classifier to identify the best sets of predictor variables and percent cover thresholds for discriminating our LULC classes. The best variable set included all predictor variables and a cover threshold of 80%. This optimal Random Forests was used to map LULC for each year between 2001 and 2007, followed by a per-pixel, 3-year temporal filter to remove disallowed LULC transitions. Our sequence of maps had an overall accuracy of 79.3%, producer accuracy from 51.4% (plantation) to 95.8% (woody vegetation), and user accuracy from 58.9% (herbaceous vegetation) to 100.0% (water). We attributed map class confusion to limited spectral information, sub-pixel spectral mixing, georeferencing error and human error in interpreting reference samples. We used our maps to assess woody vegetation change in the Dry Chaco from 2002 to 2006, which was characterized by rapid deforestation related to soybean and planted pasture expansion. This method can be easily applied to other regions or continents to produce spatially and temporally consistent information on annual LULC.

Towards a consistent classification scheme for geochemical environments, or, why we wish the term ‘suboxic’ would go away

It is our opinion that the nomenclature used to define geochemical environments is inconsistent and confusing, and in particular the use and meaning of the term 'suboxic', which is widely applied in the geochemical and ecological literature. Our purpose here is to review the redox zonation of natural systems and the nomenclature used to designate this. Finally, we will outline what we feel is a straightforward and non-contradictory scheme for classifying metabolic zones and geochemical environments.

A new global biome reconstruction and data‐model comparison for the Middle Pliocene

ABSTRACTAim To produce a robust, comprehensive global biome reconstruction for the Middle Pliocene (c. 3.6–2.6 Ma), which is based on an internally consistent palaeobotanical data set and a state‐of‐the‐art coupled climate–vegetation model. The reconstruction gives a more rigorous picture of climate and environmental change during the Middle Pliocene and provides a new boundary condition for future general circulation model (GCM) studies.Location Global.Methods Compilation of Middle Pliocene vegetation data from 202 marine and terrestrial sites into the comprehensive GIS data base TEVIS (Tertiary Environmental Information System). Translation into an internally consistent classification scheme using 28 biomes. Comparison and synthesis of vegetation reconstruction from palaeodata with the outputs of the mechanistically based BIOME4 model forced by climatology derived from the HadAM3 GCM.Results The model results compare favourably with available palaeodata and highlight the importance of employing vegetation–climate feedbacks and the anomaly method in biome models. Both the vegetation reconstruction from palaeobotanical data and the BIOME4 prediction indicate a general warmer and moister climate for the Middle Pliocene. Evergreen taiga as well as temperate forest and grassland shifted northward, resulting in much reduced tundra vegetation. Warm‐temperate forests (with subtropical taxa) spread in mid and eastern Europe and tropical savannas and woodland expanded in Africa and Australia at the expense of deserts. Discrepancies which occurred between data reconstruction and model simulation can be related to: (1) poor spatial model resolution and data coverage; (2) uncertainties in delimiting biomes using climate parameters; or (3) uncertainties in model physics and/or geological boundary conditions.Main conclusions The new global biome reconstruction combines vegetation reconstruction from palaeobotanical proxies with model simulations. It is an important contribution to the further understanding of climate and vegetation changes during the Middle Pliocene warm interval and will enhance our knowledge about how vegetation may change in the future.

Development of a Functional Basis for Design

Functional models represent a form independent blueprint of a product. As with any blueprint or schematic, a consistent language or coding system is required to ensure others can read it. This paper introduces such a design language, called a functional basis, where product function is characterized in a verb-object (function-flow) format. The set of functions and flows is intended to comprehensively describe the mechanical design space. Clear definitions are provided for each function and flow. The functional basis is compared to previous functional representations and is shown to subsume these attempts as well as offer a more consistent classification scheme. Applications to the areas of product architecture development, function structure generation, and design information archival and transmittal are discussed. [S1050-0472(00)00704-2]

Sub types of α2-adrenoceptors: Pharmacological and molecular biological evidence converg

A review of the available evidence indicates that α 2-adrenoceptors are not a homogeneous class of receptors, but can be subdivided into several subtypes based on their pharmacological characteristics. The recent cloning of the DNA for two α 2-receptor subtypes provides an independent validation of the pharmacological data. David Bylund targues that the combination of cloning and pharmacological techniques should soon provide for a consistent classification scheme for α 2-adrenoceptor subtypes in particular, and for adrenoceptors in general.