bluuebunny/crossref_metadata_2025 huggingface dataset:
Social Media Mining for Assessing Brand Popularity
Authors: Al-Sheikh Eman S , Hasanat Mozaherul Hoque Abul
Published: February 2018

Businesses seek to analyse their customer feedback to compare their brand's popularity with the popularity of competing brands. The increasing use of social media in recent years is producing large amounts of textual content, which has become rich source of data for brand popularity analysis. In this article, a novel hybrid approach of classification and lexicon based methods is proposed to assess brand popularity based on the sentiments expressed in social media posts. Two different classification models using Naïve Bayes (NB) and SVM are built based on Twitter messages for 9 different brands of 3 cosmetic products. In addition, sentiment quantification have been performed using a lexicon-based approach. Based on the overall comparison of the proposed models, the SVM classifier has the highest performance with 78.85% accuracy and 94.60% AUC, compared to 73.57% and 63.63% accuracy, 80.63% and 69.38% AUC of the NB classifier and the sentiment quantification approach respectively. Specific indices based on classification and lexicon approaches are proposed to assess the brand popularity.
Optimization of Mean and Standard Deviation of Multiple Responses Using Patient Rule Induction Method
Authors: Yang Jin-Kyung , Lee Dong-Hee
Published: February 2018

In product and process optimization, it is common to have multiple responses to be optimized. This is called multi-response optimization (MRO). When optimizing multiple responses, it is important to consider variability as well as mean of the multiple responses. The authors call this problem as extended MRO (EMRO) where both of mean and variability of the multiple responses are optimized. In this article, they propose a data mining approach to EMRO. In these days, analyzing a large volume of operational data is getting attention due to the development of data processing techniques. Traditional MRO methods takes a model-based approach. However, this approach has limitations when dealing with a large volume of operational data. The authors propose a particular data mining method by modifying patient rule induction method for EMRO. The proposed method obtains an optimal setting of the input variables directly from the operational data where mean and standard deviation of multiple responses are optimized. The authors explain a detailed procedure of the proposed method with case examples.
Effective Management of Data Centers Resources for Load Balancing in Cloud Computing
Authors: Tiwari Pradeep Kumar , Joshi Sandeep
Published: February 2018

An effective load balancing mechanism maximizes the throughput minimizes the response time with fault tolerance. Load imbalance problems occasionally occur during the over-demanding of resources from VMs. Load balance mechanisms manage the load by allocating jobs and reallocation of VMs. This article proposes the Dynamic Weighted Live Migration (DWLM) mechanism. DWLM mechanism based on LP-formulation-based heuristic approaches to dynamically manage load balancing. DWLM approaches use transfer, selection, and location polices. These policies work based on an information policy. The authors map the result in migration time, throughput, response time and fault tolerance. The proposed DWLM mechanism gives the best results from Equally Spared Current Execution (ESCEL) and Push-Pull mechanisms. A comparison table and associated charts show the efficiency of the proposed DWLM mechanism.
Performance Assessment of Edge Preserving Filters
Authors: Reddy Kamireddy Rasool , Ch Madhava Rao , Kalikiri Nagi Reddy
Published: February 2018

Denoising is one of the important aspects in image processing applications. Denoising is the process of eliminating the noise from the noisy image. In most cases, noise accumulates at the edges. So that prevention of noise at edges is one of the most prominent problem. There are numerous edge preserving approaches available to reduce the noise at edges in that Gaussian filter, bilateral filter and non-local means filtering are the popular approaches but in these approaches denoised image suffer from blurring. To overcome these problems, in this article a Gaussian/bilateral filtering (G/BF) with a wavelet thresholding approach is proposed for better image denoising. The performance of the proposed work is compared with some edge-preserving filter algorithms such as a bilateral filter and the Non-Local Means Filter, in terms that objectively assess quality. From the simulation results, it is found that the performance of proposed method is superior to the bilateral filter and the Non-Local Means Filter.
Aligning Aggregate Planning with (s,S) Inventory Model in a Stochastic Demand Environment
Authors: Bagchi Shantanu Shankar , Paul Rik
Published: February 2018

Designing an aggregate plan is essential for firms to improve the efficiency of their inventory management as well as maintaining supplier relationships over a long run. Aggregate plan is primarily a function of demand uncertainty and the inventory policy in place. Firms tend to follow either a periodic review model ( system) or a perpetual model ( system) for managing inventory time to time; the former being more prevalent due to lower inventory monitoring costs associated. The article proposes a mathematical model that incorporates the principles of inventory model in deciding on the key components of an aggregate plan for each period in a multi-period stochastic demand environment for both stationary and non-stationary demand scenarios. The article also provides numerical illustrations to demonstrate the application of the model.
Cognitive Computing
Authors: Wang Yingxu , Raskin Victor , Rayz Julia , Baciu George , Ayesh Aladdin , Mizoguchi Fumio , Tsumoto Shusaku , Patel Dilip , Howard Newton
Published: February 2018

Cognitive Computing (CC) is a contemporary field of studies on intelligent computing methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine learning and cognitive robotics. The IEEE conference ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This article reports the plenary panel (Part II) in IEEE ICCI*CC'17 at Oxford University. The summary is contributed by distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of cognitive computing.
A Study on the Prevention of Cyberbullying in Workplaces
Authors: Choi Youngkeun
Published: February 2018

The purpose of this article is to examine workplace cyberbullying as a cybercrime. Based on deterrence theory and social influence theory, this study builds a model of antecedents to prevent cyberbullying in workplaces. For this, this article conducts a survey of 305 Korean workers and uses SPSS 18.0 for hierarchical regression analysis. The results of this survey being, first, the certainty of detection prevents employees' intention to cyberbullying in the workplace while the severity of penalty and has no effect. Second, subjective norms and descriptive norms prevent employees' intention to cyberbullying in the workplace. The results show that social influence is more important to control members' behavior in workplace cyberbullying than corporate policy. And, this article is the first to investigate the preventers of employees' intentions to cyberbullying in workplace in the perspective of cybercrime.
Unleashing the Intelligence of Cities by Social Innovation and Civic Crowdfunding
Authors: Bernardino Susana , Santos J. Freitas
Published: February 2018

Public resources to address communities' needs are increasingly scarce. The digitalization of economies has led to an increasingly distance between citizens and public entities. However, the use of ICT by citizens and public authorities must be able to unleash social innovation potential. These are interrelated concepts that could boost the involvement of people in the economic, social, cultural and political decision-making processes of a community. Based on two case studies described in this article, the authors aim to explore the potential of civic crowdfunding for increasing participation and the collaboration of citizens, firms and government. The analysis shows that civic crowdfunding platforms could be a useful tool for public administration enhance the engagement of communities in the solution of their problems. Civic crowdfunding platforms encourage the development of new ideas for common interest as well as the collection of the resources needed for implementing social innovations. Additionally, these civic platforms may be used to strengthen community ties and leverage the bonds among stakeholders and members of the community ecosystem.
Launching a New Strategy for Multidisciplinary Management of Single-Ventricle Heart Defects
Authors: Davis Jo Ann M. , Miller-Tate Holly , Texter Karen M.
Published: February 2018

Children born with single-ventricle heart defects, particularly hypoplastic left heart syndrome, have a lifetime high risk of mortality and comorbidities. They have complex medical challenges in addition to their cardiac needs, including growth and feeding complications and neurodevelopmental issues. These concerns require a coordinated effort among specialties to help patients maximize their potential. Additionally, because many complex heart defects are diagnosed prenatally, coordination of care between the pre- and postnatal care teams is imperative. Nursing leadership improves program coordination and efficiency. The purpose of this article is to describe the development and implementation of our hospital’s synchronized, multidisciplinary team to support children with single-ventricle heart defects and their families. (Critical Care Nurse. 2018;38[1]:60–71)
Delirium Assessment Tools for Use in Critically Ill Adults: A Psychometric Analysis and Systematic Review
Authors: Gélinas Céline , Bérubé Mélanie , Chevrier Annie , Pun Brenda T. , Ely E. Wesley , Skrobik Yoanna , Barr Juliana
Published: February 2018

BACKGROUND

Delirium is highly prevalent in critically ill patients. Its detection with valid tools is crucial.

OBJECTIVE

To analyze the development and psychometric properties of delirium assessment tools for critically ill adults.

METHODS

Databases were searched to identify relevant studies. Inclusion criteria were English language, publication before January 2015, 30 or more patients, and patient population of critically ill adults (>18 years old). Search terms were delirium, scales, critically ill patients, adult, validity, and reliability. Thirty-six manuscripts were identified, encompassing 5 delirium assessment tools (Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), Cognitive Test for Delirium, Delirium Detection Score, Intensive Care Delirium Screening Checklist (ICDSC), and Nursing Delirium Screening Scale). Two independent reviewers analyzed the psychometric properties of these tools by using a standardized scoring system (range, 0–20) to assess the tool development process, reliability, validity, feasibility, and implementation of each tool.

RESULTS

Psychometric properties were very good for the CAM-ICU (19.6) and the ICDSC (19.2), moderate for the Nursing Delirium Screening Scale (13.6), low for the Delirium Detection Score (11.2), and very low for the Cognitive Test for Delirium (8.2).

CONCLUSIONS

The results indicate that the CAM-ICU and the ICDSC are the most valid and reliable delirium assessment tools for critically ill adults. Additional studies are needed to further validate these tools in critically ill patients with neurological disorders and those at various levels of sedation or consciousness.
Two-fold quasi-alternating links, Khovanov homology and instanton homology
Authors: Scaduto Christopher , Stoffregen Matthew
Published: February 2018

We introduce a class of links strictly containing quasi-alternating links for which mod 2 reduced Khovanov homology is always thin. We compute the framed instanton homology for double branched covers of such links. Aligning certain dotted markings on a link with bundle data over the branched cover, we also provide many computations of framed instanton homology in the presence of a non-trivial real 3-plane bundle. We discuss evidence for a spectral sequence from the twisted Khovanov homology of a link with mod 2 coefficients to the framed instanton homology of the double branched cover. We also discuss the relevant mod 4 gradings.
What we know and do not know about organizational resilience
Authors: Ruiz-Martin Cristina , Lopez-Paredes Adolfo , Wainer Gabriel
Published: February 2018

We present a literature review about organizational resilience, with the goal of identifying how organizational resilience is conceptualized and assessed. The two research questions that drive the review are: (1) how is organizational resilience conceptualized? and (2) how is organizational resilience assessed? We answer the first question by analysing organizational resilience definitions and the attributes or characteristics that contribute to develop resilient organizations. We answer the second question by reviewing articles that focus on tools or methods to measure organizational resilience. Although there are three different ways to define organizational resilience, we found common ideas in the definitions. We also found that organizational resilience is considered a property, ability or capability that can be improved over time. However, we did not find consensus about the elements that contribute to improving the level of organizational resilience and how to assess it. Based on the results of the review, we propose a conceptualization of organizational resilience that integrates the three views found in the literature. We also propose a four-level Maturity Model for Organizational Resilience – MMOR. Using this model, the organization can be in one of the following levels based on its ability and capacity to handle disruptive events: fragile, robust, resilient or antifragile.
Clustering product innovators: a comparison between conventional and green product innovators
Authors: Pons Marc , Bikfalvi Andrea , Llach Josep
Published: February 2018

This paper aims at analysing firms implementing new products. Based on a cluster analysis, three types of manufacturers have been identified representing different types of product innovators according to the competitiveness factors important for their business, environmentally sensitive new products, and a performance indicator, such as the share of turnover from new products.
The Use of Quaternary Phosphonium Compounds as Antibacterial Corrosion Inhibitors for Low-Alloy Steel
Authors: Pound B.G. , Cox P. , Mortelmans K.E.
Published: February 2018

Triphenyl-based quaternary phosphonium compounds were evaluated as corrosion inhibitors with biocidal properties for controlling microbiologically influenced corrosion. Several compounds displayed biocidal activity for acid-producing bacteria or for sulfate-reducing bacteria, but not both. Electrochemical impedance spectroscopy was used to examine the effect of the compounds on the corrosion behavior of a low-alloy steel Fe-Ni-Cr-Mo (HY-80) in deaerated artificial seawater with and without bacteria present. The performance of the compounds as corrosion inhibitors appeared to be governed by steric factors. Tetraphenyl phosphonium chloride and cinnamyl triphenyl phosphonium chloride were effective as antibacterial corrosion inhibitors.
The influence of 14CO2 releases from regional nuclear facilities at the Heidelberg 14CO2 sampling site (1986–2014)
Authors: Kuderer Matthias , Hammer Samuel , Levin Ingeborg
Published: February 2018

Abstract. Atmospheric Δ14CO2 measurements are a well established tool to estimate regional fossil fuel-derived CO2 fluxes. However, emissions from nuclear facilities can significantly alter the regional Δ14CO2 level. In order to accurately quantify the 14CO2 signal, a correction term for anthropogenic sources has to be determined. In this study, the HYSPLIT atmospheric dispersion model has been applied to calculate the correction term for the long-term 14CO2 monitoring site in Heidelberg. Wind fields with a spatial resolution of 2.5° × 2.5°, 1° × 1° and 0.5° × 0.5° show systematic deviations, with coarser resolved wind fields leading to higher mean values for the correction. The mean correction for the period from 1986–2014, if based on the 0.5° × 0.5° wind field, which we assume as the most accurate, is 2.3 ‰ with a standard deviation of 2.1 ‰ and maximum values up to 15.2 ‰. After ceasing operations at the most important 14CO2 source near Heidelberg in 2011, monthly nuclear correction terms decreased to less than 2 ‰, with a mean value of (0.44 ± 0.32) ‰ from 2012 to 2014.
Laser pulse bidirectional reflectance from CALIPSO mission
Authors: Lu Xiaomei , Hu Yongxiang , Yang Yuekui , Vaughan Mark , Liu Zhaoyan , Rodier Sharon , Hunt William , Powell Kathy , Lucker Patricia , Trepte Charles
Published: February 2018

Abstract. This paper presents an innovative retrieval method that translates the CALIOP land surface laser pulse returns into the surface bidirectional reflectance. To better analyze the surface returns, the CALIOP receiver impulse response and the downlinked samples' distribution at 30 m resolution are discussed. The saturated laser pulse magnitudes from snow and ice surfaces are recovered based on surface tail information. The retrieved snow surface bidirectional reflectance is compared with reflectance from both CALIOP cloud cover regions and MODIS BRDF/Albedo model parameters. In addition to the surface bidirectional reflectance, the column top-of-atmosphere bidirectional reflectances are calculated from the CALIOP lidar background data and compared with the bidirectional reflectances derived from WFC radiance measurements. The retrieved CALIOP surface bidirectional reflectance and column top-of-atmosphere bidirectional reflectance results provide unique information to complement existing MODIS standard data products and are expected to have valuable applications for modellers.
Riverine carbon export in the arid-semiarid Wuding River catchment on the Chinese
Loess Plateau
Authors: Ran Lishan , Tian Mingyang , Fang Nufang , Wang Suiji , Lu Xixi , Yang Xiankun , Cho Frankie
Published: February 2018

Abstract. Riverine export of terrestrially-derived carbon represent a key component of the global carbon cycle. In this study we quantify the redistribution of riverine carbon within the Wuding catchment on the Chinese Loess Plateau. Export of dissolved organic and inorganic carbon (DOC and DIC) exhibited pronounced spatial and temporal variability. While the DOC concentration was spatially comparable within the catchment, it was generally higher in spring and summer than in autumn, especially in the loess subcatchment. This reflects the enhanced organic matter inputs from agricultural tillage in spring and from terrestrial ecosystems in summer. DIC concentration in the loess subcatchment is significantly higher than that in the sandy subcatchment, due largely to dissolution of carbonates that are abundant in loess. In addition, content of particulate organic carbon (POC) shown strong seasonal variability with low values in the wet season owing to input of subsurface soils by gully erosion. The downstream carbon flux was (7±1.9)×1010 g C year−1 and dominated by DIC and POC. Total CO2 emissions from water surface were (3.7±0.5)×1010 g C year−1. Radiocarbon analysis revealed that the degassed CO2 was 810–1890 years old, indicating the release of old carbon previously stored in soil horizons. Riverine carbon export in the Wuding catchment has been greatly modified by check dams. Our estimate shows that carbon burial through sediment storage was (7.8±4.1)×1010 g C year−1, representing 42% of the total riverine carbon export from terrestrial ecosystems on an annual basis ((18.5±4.5)×1010 g C year−1). Moreover, the riverine carbon export accounted for 16 % of the catchment NEP. It appears that the magnitude of carbon sink of terrestrial ecosystems in this arid-semiarid catchment has been significantly offset by riverine carbon export.
Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6
Authors: Rolinski Susanne , Müller Christoph , Heinke Jens , Weindl Isabelle , Biewald Anne , Bodirsky Benjamin Leon , Bondeau Alberte , Boons-Prins Eltje R. , Bouwman Alexander F. , Leffelaar Peter A. , te Roller Johnny A. , Schaphoff Sibyll , Thonicke Kirsten
Published: February 2018

Abstract. Grassland management affects the carbon fluxes of one-third of the global land area and is thus an important factor for the global carbon budget. Nonetheless, this aspect has been largely neglected or underrepresented in global carbon cycle models. We investigate four harvesting schemes for the managed grassland implementation of the dynamic global vegetation model (DGVM) Lund–Potsdam–Jena managed Land (LPJmL) that facilitate a better representation of actual management systems globally. We describe the model implementation and analyze simulation results with respect to harvest, net primary productivity and soil carbon content and by evaluating them against reported grass yields in Europe. We demonstrate the importance of accounting for differences in grassland management by assessing potential livestock grazing densities as well as the impacts of grazing, grazing intensities and mowing systems on soil carbon stocks. Grazing leads to soil carbon losses in polar or arid regions even at moderate livestock densities (<  0.4 livestock units per hectare – LSU ha−1) but not in temperate regions even at much higher densities (0.4 to 1.2 LSU ha−1). Applying LPJmL with the new grassland management options enables assessments of the global grassland production and its impact on the terrestrial biogeochemical cycles but requires a global data set on current grassland management.
CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the North Pacific
Authors: Chen Bingzhang , Smith Sherwood Lan
Published: February 2018

Abstract. Diversity plays critical roles in ecosystem functioning, but it remains challenging to model phytoplankton diversity in order to better understand those roles and reproduce consistently observed diversity patterns in the ocean. In contrast to the typical approach of resolving distinct species or functional groups, we present a ContInuous TRAiT-basEd phytoplankton model (CITRATE) that focuses on macroscopic system properties such as total biomass, mean trait values, and trait variance. This phytoplankton component is embedded within a nitrogen–phytoplankton-zooplankton–detritus–iron model that itself is coupled with a simplified one-dimensional ocean model. Size is used as the master trait for phytoplankton. CITRATE also incorporates trait diffusion for sustaining diversity and simple representations of physiological acclimation, i.e., flexible chlorophyll-to-carbon and nitrogen-to-carbon ratios. We have implemented CITRATE at two contrasting stations in the North Pacific where several years of observational data are available. The model is driven by physical forcing including vertical eddy diffusivity imported from three-dimensional general ocean circulation models (GCMs). One common set of model parameters for the two stations is optimized using the Delayed-Rejection Adaptive Metropolis–Hasting Monte Carlo (DRAM) algorithm. The model faithfully reproduces most of the observed patterns and gives robust predictions on phytoplankton mean size and size diversity. CITRATE is suitable for applications in GCMs and constitutes a prototype upon which more sophisticated continuous trait-based models can be developed.
Nanocomposite sensors of propylene glycol, dimethylformamide and formaldehyde vapors
Authors: Adamyan Zaven , Sayunts Artak , Aroutiounian Vladimir , Khachaturyan Emma , Vrnata Martin , Fitl Přemysl , Vlček Jan
Published: February 2018

Abstract. The results of research works related to the study of thick-film multiwall carbon nanotube–tin oxide nanocomposite sensors of propylene glycol (PG), dimethylformamide (DMF) and formaldehyde (FA) vapors are presented in this paper. These sensors were derived using hydrothermal synthesis and sol–gel methods. Investigations of response–recovery characteristics in the 50–300 °C operating temperature range reveal that the optimal operating temperature for PG, DMF and FA vapor sensors, taking into account both high response and acceptable response and recovery times are about 200 and 220 °C, respectively. The dependence of the sensor response on gas concentration is linear in all cases. Minimal propylene glycol, dimethylformamide and formaldehyde gas concentrations, where the perceptible signal was noticed, were 13, 5 and 115 ppm, respectively.
Applications of satellite winds for the offshore wind farm site Anholt
Authors: Ahsbahs Tobias , Badger Merete , Volker Patrick , Hansen Kurt S. , Hasager Charlotte B.
Published: February 2018

Abstract. Rapid growth in the offshore wind energy sector means more offshore wind farms are placed closer to each other and in the lee of large land masses. Synthetic Aperture Radar (SAR) offers maps of the wind speed offshore with high resolution over large areas. These can be used to detect horizontal wind speed gradients close to shore and wind farm wake effects. SAR observations have become much more available with the free and open access to data from European satellite missions through Copernicus. Examples of applications and tools for using large archives of SAR wind maps to aid offshore site assessment are few. The Anholt wind farm operated by the utility company Ørsted is located in coastal waters and experiences strong spatial variations in the mean wind speed. Wind speeds derived from the Supervisory Control And Data Acquisition (SCADA) system are available at the turbine locations for comparison with winds retrieved from SAR. The correlation is good, both for free stream and waked conditions. Spatial wind speed variations within the wind farm derived from SAR wind maps prior to the wind farm construction are found to agree well with information gathered by the SCADA system and numerical weather prediction models. Wind farm wakes are detected by comparisons between images before and after the wind farm construction. SAR wind maps clearly show wakes for long constant fetches but the wake effect is less pronounced for short varying fetches. Our results suggest that SAR wind maps can support offshore wind energy site assessment by introducing observations in the early phases of wind farm projects.
Placemaking, livability and public spaces. Achieving sustainability through happy places
Authors: Sepe Marichela
Published: February 2018

Livability of places is set by many factors which are in turn influenced by a variety of elements - both tangible and intangible - concerning the area in question and its surroundings. One of these factors is constituted by urban happiness, which, together with the term sustainability meant in its wide meaning, constitutes a key concept in placemaking. In this respect, a new attention to urban happiness has been given but often in terms of theoretical sense or from an observational point of view. Aim of this study is to present the Happy place mapping, a method of analysis specifically devoted to the identification of factors that influence the perception of happiness from the urban point of view. To illustrate the method, the emblematic HafenCity case study carried out in Hamburg is showed. A long process of urban regeneration is interesting this area and the new public spaces are changing the identity of the city, making it more livable and agreeable both for locals and visitors. The discussion on questions related to methods that concern intangible aspects and on Happy place mapping conclude the paper.
Context, contribution and characteristics of public spaces for place making in contemporary knowledge and innovation spaces. Observations from Brisbane, Australia
Authors: Pancholi Surabhi , Guaralda Mirko , Yigitcanlar Tan
Published: February 2018

The advanced era of knowledge-based urban development has led to an unprecedented increase in mobility of people and subsequent growth in new typologies of agglomerated enclaves of knowledge such as urban knowledge and innovation spaces. Within this context, a new role has been assigned to contemporary public spaces to attract and retain the mobile knowledge workforce by creating a sense of place. This paper investigates the context, characteristics and contribution of public spaces in facilitating place making in the globalised knowledge economy world. It takes an overall process-based approach to highlight the observations from Australia’s new world city Brisbane to outline the application of urban design as a tool to create and sustain multi-dimensional place making in urban knowledge and innovation spaces, which caters diverse range of social, cultural and democratic needs. The study derives multi-layered permeability as the key character that defines the modified typology of public spaces and which is vital for making them more viable and adaptive as per the changing needs of the contemporary globalised or in other words knowledge society.
Comparative Performance Evaluation of Selected Commercial Banks in India using CAMELS Rating Model
Authors: Samuel Elizabeth M.
Published: February 2018

Sound financial health of a bank is the guarantee not only to its depositors but is equally significant for the shareholders, employees and whole economy as well. As sequel to this maxim, efforts have been made from time to time to measure the financial position of each bank and manage it efficiently and effectively.Indian banking sector widely includes commercial, nationalized, co-operative, private and international banks in its fold. In the present study an attempt is made to evaluate the financial performance of three major commercial banks (IOB, Canara Bank and Syndicate Bank) using CAMELS Rating Model. CAMELS rating model is basically an approach widely used to measure the performance of banking unit inside and outside India. This model measures the performance of banks from all important parameters like Capital adequacy, Asset quality, Management efficiency, Earning quality, Liquidity and sensitivity to market. The study is based on secondary data drawn from the annual reports. For the purpose of evaluation the data’s of five years (2011-2016) before demonetization are analyzed by calculating the 17 ratios related to CAMELS rating model. It is found out that according to Basel Norm the overall state of capital adequacy of all the three banks are satisfactory. As far as loan portfolio is concern, the overall state of asset quality and management efficiency are satisfactory, whereas the earning capacity of the banks is not and the liquidity is also not satisfactory. The high level of NPAs and sluggishness in the domestic growth, slow recovery in the global economy and the continuing uncertainty in the global market leading to lower exports and imports are one of the main reasons for the low earning capacity of banks along with these reasons RBI’s new rules to make higher provisioning for substandard assets also affected the earning capacity of all the three banks. Based on the evaluations all the three commercial banks should improve its earning capacity and the liquidity position to perform efficiently and effectively.
Influência dos sangradouros na sensibilidade ao óleo das praias arenosas do Rio Grande do Sul
Authors: Oliveira Elaine Baroni , Nicolodi Joao Luiz
Published: February 2018

No Brasil, a Lei 9.966/00 atribuiu ao Ministério do Meio Ambiente (MMA) a responsabilidade na identificação, localização e definição dos limites de áreas ecologicamente sensíveis com relação à poluição causada por derramamento de óleo e outras substâncias nocivas ou perigosas em águas sob jurisdição nacional. Tal definição se dá pela aplicação do Índice de Sensibilidade do Litoral (ISL). O ISL é um índice que classifica a sensibilidade da costa ao óleo baseado nas características geomorfológicas do litoral, mas, para costas arenosas como a do Rio Grande do Sul (RS), este índice não é totalmente eficaz, já que a classificação não leva em conta alguns parâmetros locais importantes, como por exemplo, os sangradouros existentes ao longo do litoral. Este trabalho determina a influência do sangradouro na sensibilidade ao óleo com a posterior inserção desta variável no ISL. A metodologia envolveu a digitalização e validação da posição dos sangradouros e ambientes, a criação do mapa de inundação e, por fim, a hierarquização dos trechos mais sensíveis. Os resultados mostraram que durante elevações do nível do mar, áreas naturais com a presença de sangradouros sofreram inundação de até 300 metros. Dentro desta área são encontrados diferentes ambientes, que segundo o ISL, são mais sensíveis. Durante um derramamento de óleo, estes ambientes estariam expostos não só à ação do mar, mas também ao óleo derramado. Os trechos onde estas condições ocorrem (alta densidade de sangradouros associados e presença de ambientes sensíveis), foram considerados de prioridade de proteção e demarcados na Carta SAO através da sobreposição de um ícone de sangradouro no mapa. Conclui-se que se os sangradouros fossem considerados como uma variável na definição de sensibilidade, o mapeamento de ISL das bacias sedimentares do sul do país seriam qualificados, tornando seus resultados mais realísticos.
Evolução da planície costeira das Praias do Sul e do Leste – Ilha Grande/RJ: implicações sobre a presença humana pre-histórica e contribuições para a reconstrução paleoambiental holocênica
Authors: Silva Rafael Cuellar de Oliveira , Dias Gilberto Tavares de Macedo
Published: February 2018

A área de estudo deste trabalho possui ambientes lagunares bem preservados e sítios arqueológicos com idade de 3.000 anos AP. Dados altimétricos e análises de imagens aéreas permitiram a identificação de duas barreiras arenosas. Considerando a variação holocênica do nível relativo do mar, concluiu-se que a barreira interna possui idade pleistocênica. A externa, que inclui as praias atuais, formou-se durante a transgressão holocênica. Antigas desembocaduras fluvio-lagunares holocênicas apresentam-se nos extremos ocidental da Praia do Sul e oriental da Praia do Leste. O estabelecimento de um sítio arqueológico na barreira holocênica pode estar relacionado à antiga desembocadura na Praia do Leste. Neste caso, é possível que este sítio seja mais antigo do que o sítio do Ilhote, o qual pode ter sido ocupado somente a partir de 3.000 anos AP porque o nível do mar em rebaixamento teria facilitado o acesso. A sedimentação das lagoas tem sido investigada e apresentam-se resultados preliminares da análise de duas sondagens a percussão realizadas na Lagoa do Sul. A base do testemunho LS01 foi datada por 14C em 2.477 – 2.138 anos cal AP, a 116 cm, e do testemunho LS02, em 5.309 – 4.986 anos cal AP, a 136 cm. Os sedimentos lagunares são formados por lama orgânica de origem mista a terrestre, com camadas ricas em conchas e lentes arenosas de quartzo, interpretadas como resultado de episódios de enxurradas típicas da região, com alta pluviosidade. A sedimentação e a razão C:N indicam estabilidade ambiental com clima úmido nos últimos ~5.000 anos AP. Entre 1.394 – 1.174 e 795 – 481 anos cal AP ocorreu o intervalo mais úmido, com: (i) deposição concentrada de conchas e (ii) maior aporte de terrígenos. Maior quantidade de lentes arenosas foi depositada a partir de 3.066 – 2.647 anos cal AP, sugerindo maior frequência de chuvas intensas desde então.
The Impact of Zero Tolerance Policy on Children with Disabilities
Authors: Alnaim Mariam
Published: February 2018

The Zero Tolerance policy was intended to eliminate learners who are a danger to a learning institution (Henson,2012). The development of this policy was to assist schools with better policing approaches of students conducts byemploying tough disciplinary action and subsequently provide a safer learning environment. While the ZeroTolerance policy sought to reinforce security measures in schools, the students with emotional or learning disabilitiesand behavioral disorders were predisposed to expulsions and suspensions (Henson, 2012). The situation is facilitatedby the all-encompassing nature of this policy as it fails to accommodate the fact that some of the behaviorsdemonstrated by students with disabilities are beyond their control. While some of these behaviors are considered tofall under the zero-tolerance policy guidelines, it subjects this group of learners several disciplinary actions that werenot initially included in addressing their special needs.
Psychological Factors Affecting Outcomes After Elective Shoulder Surgery
Authors: Gil Joseph A. , Goodman Avi D. , Mulcahey Mary K.
Published: February 2018

To optimize outcomes following elective shoulder surgery, it is important to address not only the injury or pathology itself, but also the cognitive and emotional factors that may influence a patient’s recovery. Depression, anxiety, catastrophic thinking, distress, somatization, and decreased self-efficacy are among the most common psychological factors associated with adverse perioperative events and poor postoperative outcomes. Such factors may manifest at any point during recovery. Validated questionnaires can be used to measure psychological factors preoperatively, thereby enabling earlier intervention that may mitigate any potential negative effect of these factors on the patient’s overall outcome. Orthopaedic surgeons must be sensitive to the influence of stress, distress, and limited coping strategies on patients and should learn how best to mitigate the detrimental effects of these factors on outcomes after elective shoulder surgery.
Determination of Gas Pressure Distribution in a Pipeline Network using the Broyden Method
Authors: Sidarto Kuntjoro Adji , Kania Adhe , Mucharam Leksono , Darmadi Darmadi , Widhymarmanto R. Arman
Published: February 2018

A potential problem in natural gas pipeline networks is bottlenecks occurring in the flow system due to unexpected high pressure at the pipeline network junctions resulting in inaccurate quantity and quality (pressure) at the end user outlets. The gas operator should be able to measure the pressure distribution in its network so the consumers can expect adequate gas quality and quantity obtained at their outlets. In this paper, a new approach to determine the gas pressure distribution in a pipeline network is proposed. A practical and user-friendly software application was developed. The network was modeled as a collection of node pressures and edge flows. The steady state gas flow equations Panhandle A, Panhandle B and Weymouth to represent flow in pipes of different sizes and a valve and regulator equation were considered. The obtained system consists of a set of nonlinear equations of node pressures and edge flowrates. Application in a network in the field involving a large number of outlets will result in a large system of nonlinear equations to be solved. In this study, the Broyden method was used for solving the system of equations. It showed satisfactory performance when implemented with field data.
Modeling of Reservoir Structure by Using Magnetotelluric Method in the Area of Mt. Argopuro, East Java, Indonesia
Authors: Singarimbun Alamta , Gaffar Eddy Zulkarnaini , Tofani Panji
Published: February 2018

The purpose of this study was to review a regional geothermal system by applying the magnetotelluric method, which is one of the geophysical methods that can be used to map subsurface resistivity structures. This method uses electromagnetic waves of natural resources, namely the interaction of the sun (solar wind) and lightning activity on earth. This study used an inverse modeling method, i.e. the non-linear conjugate gradient method, to estimate the resistivity value as a function of depth at points of sounding, while 2-dimensional modeling was used to describe the distribution of the resistivity values laterally or vertically on a trajectory of measurements. Data were collected from the area of Mt. Argopuro, East Java, where the magnetotelluric method has not been applied before. A geothermal system was found under Mt. Argopuro consisting of altered rock, reservoirs and hot rock with sources of heat associated with high resistivity values (1024 ohm.m). The area has potential for geothermal energy exploration in the future.
HUMOR AND METAPHORS IN MEDICAL LANGUAGE
Authors: Gyuró Monika
Published: February 2018

The study makes an attempt to analyze cognitive models of metaphor and humor developedby Fauconnier and Turner (1994) and Attardo and Raskin (1991). Although metaphorand humor are different categories, their cognitive models demonstrate similarities whichmay create a joint category, metaphorical humor. The study focuses on the co-existenceof metaphorical and humorous characteristics in a single expression taken from medicalslang. Similarities between the metaphor and humor can be found in the analogies andimplications between the contrasting conceptual domains. The difference between themetaphor and humor lies only in the weights of between- and within-domain relationships(Hillson & Martin 1994). The aim of the paper is to show that the existence of humor andmetaphor in a single phrase may reveal common cognitive processes in the creation ofmetaphorical humor.
Diagnostická baterie kognitivních procesů (CAS2): Recenze metody
Authors: Pírko Martin
Published: February 2018

V souladu se závěry zahraničních recenzentů (Acheson, 2017; Champ Morera, 2017; McGill, 2015) považujeme CAS2 za originální metodu, která je velice jednoduše administrovatelná a jež má kvalitně zpracované testové materiály. CAS2 oproti jiným dostupným testům kognitivních schopností nabízí ipsativní analýzu, tedy na statistice založenou identifikaci silných a slabých stránek probanda. Přes drobné nedostatky můžeme CAS2 doporučit s jistou opatrností k běžnému užívání, a to hlavně díky aktuálním českým normám vytvořeným na základě poměrně velkého standardizačního souboru.  Je však nutné počítat s tím, že normy jsou pravděpodobně o něco „tvrdší“ v důsledku nižšího zastoupení rodičů respondentů s nižším vzděláním.
News from the Field
Authors: Free David
Published: February 2018

Birch Aquarium has teamed up with the Digital Media Lab at the University of California-San Diego (UCSD) Library to create what is believed to be the first 3-D-printed brace for a sea turtle’s shell. The Loggerhead Sea Turtle was rescued from a New Jersey power plant in 2013 with a large gap in the bottom right part of her shell. This gap, along with an abnormal curve of her spine and paralysis of her back flippers, is likely due to trauma experienced in the wild before she was rescued.
What’s behind OA2020? Accelerating the transition to open access with introspection and repurposing funds
Authors: Samberg Rachael , Schneider Richard A. , Taylor Anneliese , Wolfe Michael
Published: February 2018

In 2017, four University of California (UC) campuses took a public stance on accelerating the transition to open access (OA) by endorsing the Open Access 2020 (OA2020) initiative’s Expression of Interest (EOI). OA2020 is an international effort to convert the existing corpus of scholarly journals from subscription-based access to OA. In March 2017, when the first three UC campuses—UC-Berkeley, UC-Davis, and UC-San Francisco—endorsed,1,2 there had been only one U.S. signatory institution (California State University-Northridge, having endorsed in July 2016). Six months later in September 2017, another UC campus, Merced, added its affirmation. As of this writing, these five California universities remain the only OA2020 EOI signatories from the United States.3
Frog and Toad’s ongoing journey: Cooperative acquisition of award-winning children’s and young adult titles at a multicampus university
Authors: Schmit Karla M. , Lear Bernadette A.
Published: February 2018

Two years ago, we reported the beginnings of a collaboration between Education librarians at two locations within Pennsylvania State University Libraries (PSUL): the Education Library at University Park and the Penn State Harrisburg Library. We described our methods of cooperative purchasing of PreK–12 textbooks and instructional materials, which represented substantial costs and challenges to both locations.2 Since then, we have explored additional ways of sharing collection development tasks, while retaining much of the autonomy that librarians within PSUL prize. This article focuses on our efforts with our juvenile literature collections.
Internet Reviews
Authors: Roberts Joni R. , Drost Carol A.
Published: February 2018

Council of EuropeThe Getty Research InstituteThe National Child Traumatic Stress Network (NCTSN)
Escola única e educação rural no Estado Novo em Portugal
Authors: Magalhães Justino
Published: February 2018

La Escuela Única Portuguesa no estableció una relación cualitativamente uniforme con la cultura y la sociedad. La cuestión escolar frecuentemente presentó un contraste entre el mundo rural, considerado idílico, y el mundo urbano presentado como amenazador para la moral y el bienestar de los individuos. Correlativamente, el currículum escolar se abrió al progreso y al cosmopolitismo. La cultura rural, el universo material y el campo simbólico del Portugal rural eran desconsiderados y tomados como arcaicos. Esta indeterminación y aquella paradoja se asentaban en presupuestos ideológicos y nacionalistas, con consecuencias en la norma escolar y en el corporativismo del Estado Novo. La portugalidad subyacente a la Escuela Única no fue necesariamente rural, pero el minimalismo formativo facultado por la alfabetización escolar se sintió compatible con la ruralidad. Me propongo documentar y problematizar este asunto. Me referiré también a las políticas de ampliación de la red escolar y de formación de profesores. Traeré por fin a colación el Interrogatorio internacional promovido por la UNESCO, Possibilités d´Accès a la l´Éducation dans les Zones Rurales (1958), en respuesta al cual el Estado Portugués indicó lacónicamente aucune différence, dejando entrever, de este modo, las virtualidades de la escuela única portuguesa.
Preescolar na casa: de preparación para la escuela a educación familiar en el medio rural de Galicia (España) = Preescolar na casa: de preparación para a escola a educación familiar no medio rural de Galicia (España)
Authors: Ferradás Blanco Rodolfo Luis , Franco López José Pablo
Published: February 2018

Preescolar na Casa es la acción educativa organizada con las familias de niños de cero a seis años en el medio rural de Galicia, con población dispersa, tomando como base la vida diaria y el entorno familiar y social. La organización de esta acción ha sido promovida por las Cáritas de Galicia. Fue gestionada primero por Cáritas Diocesana de Lugo y desde 2001 por la Fundación Preescolar na Casa. En este trabajo se presentan sus fundamentos teóricos y se describen y analizan sus actividades y logros a lo largo de los 35 años de su existencia (1977-2012).
El autor y su sombra. A propósito de Las lecciones de Tersites
Authors: Cuesta Fernández Raimundo , Hernández Sánchez Gustavo
Published: February 2018

Este trabajo se despliega en una triple dirección: un ensayo en el que Raimundo Cuesta narra su autobiografía intelectual tomando como motivo su último libro; a continuación, una entrevista que le hace el joven historiador Gustavo Hernández Sánchez; y este último, en tercer lugar, escribe una reseña, incluida a continuación en la sección correspondiente de la revista, que glosa su experiencia y relación personal e intelectual con el autor de las Lecciones de Tersites. En el conjunto de las tres partes se unen las reflexiones historiográficas con los testimonios en clave autobiográfica.