bluuebunny/crossref_metadata_2025 huggingface dataset:
A Fault-Tolerant Polar Grid SINS/DVL/USBL Integrated Navigation Algorithm Based on the Centralized Filter and Relative Position Measurement
Authors: Zhao Lin , Kang Yingyao , Cheng Jianhua , Wu Mouyan
Published: September 2019

Navigation is a precondition for ocean space vehicles to work safely in polar regions. The traditional polar algorithms employ the grid strapdown inertial navigation system (SINS) as the backbone and Doppler velocity log (DVL) output velocity as measurements to constitute the integrated navigation system, of which, however, the position errors still accumulate with time. The ultra-short baseline (USBL) position system can provide position information that can be used to improve the performance of the SINS/DVL integrated system. Therefore, a grid SINS/DVL/USBL integrated algorithm for polar navigation is proposed in this paper. In order to extend the availability of the USBL and improve integration accuracy in polar regions, the USBL observation model is established based on the relative position measurement firstly. Then, a grid SINS/DVL/USBL integrated algorithm is proposed to fuse the information of these sensors with a modified Kalman filter (MKF) dealing with the sparse USBL output. Finally, a vector fault detection method, which takes the measurements as detection objects instead of the filter, is designed to locate the measurement fault and can be employed by the centralized filter to improve the fault-tolerant. Simulation and experiment results show that the proposed grid SINS/DVL/USBL integrated navigation system can further restrain SINS errors especially the position errors effectively. Meanwhile, the vector fault detection method can detect and isolate the fault measurements of centralized filter immediately and accurately. Therefore, the proposed fault-tolerant grid SINS/DVL/USBL integrated navigation algorithm can improve the reliability and accuracy of polar navigation for ocean space application.
Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy
Authors: Wei Lifei , Yuan Ziran , Yu Ming , Huang Can , Cao Liqin
Published: September 2019

In this study, in order to solve the difficulty of the inversion of soil arsenic (As) content using laboratory and field reflectance spectroscopy, we examined the transferability of the prediction method. Sixty-three soil samples from the Daye city area of the Jianghan Plain region of China were taken and studied in this research. The characteristic wavelengths of soil As content were then extracted from the full bands based on iteratively retaining informative variables (IRIV) coupled with Spearman’s rank correlation analysis (SCA). Firstly, the IRIV algorithm was used to roughly select the original spectral data. Gaussian filtering (GF), first derivative (FD) filtering, and gaussian filtering again (GFA) pretreatments were then used to improve the correlation between the spectra and soil As content. A subset with absolute correlation values greater than 0.6 was then retained as the optimal subset after each pretreatment. Finally, partial least squares regression (PLSR), Bayesian ridge regression (BRR), ridge regression (RR), kernel ridge regression (KRR), support vector machine regression (SVMR), eXtreme gradient boosting (XGBoost) regression, and random forest regression (RFR) models were used to estimate the soil As values using the different characteristic variables. The results showed that, compared with the traditional method based on IRIV, using the characteristic bands selected by the IRIV-SCA method can effectively improve the prediction accuracy of the models. For the laboratory spectra experiment stage, the six most representative characteristic bands were selected. The performance of IRIV-SCA-SVMR was found to be the best, with the coefficient of determination (R2), root-mean-square error (RMSE), and mean absolute error (MAE) in the validation set being 0.97, 0.22, and 0.11, respectively. For the field spectra experiment stage, the 12 most representative characteristic bands were selected. The performance of IRIV-SCA-XGBoost was found to be the best, with the R2, RMSE, and MAE in the validation set being 0.83, 0.35, and 0.29, respectively. The accuracy and stability of the inversion of soil As content are significantly improved by the use of the proposed method, and the method could be used to provide accurate data for decision support for the treatment and recovery of As pollution over a large area.
On-Site 4-in-1 Alignment: Visualization and Interactive CAD Model Retrofitting Using UAV, LiDAR’s Point Cloud Data, and Video
Authors: B. N. Pavan Kumar , Patil Ashok Kumar , B. Chethana , Chai Young Ho
Published: September 2019

Acquisition of 3D point cloud data (PCD) using a laser scanner and aligning it with a video frame is a new approach that is efficient for retrofitting comprehensive objects in heavy pipeline industrial facilities. This work contributes a generic framework for interactive retrofitting in a virtual environment and an unmanned aerial vehicle (UAV)-based sensory setup design to acquire PCD. The framework adopts a 4-in-1 alignment using a point cloud registration algorithm for a pre-processed PCD alignment with the partial PCD, and frame-by-frame registration method for video alignment. This work also proposes a virtual interactive retrofitting framework that uses pre-defined 3D computer-aided design models (CAD) with a customized graphical user interface (GUI) and visualization of a 4-in-1 aligned video scene from a UAV camera in a desktop environment. Trials were carried out using the proposed framework in a real environment at a water treatment facility. A qualitative and quantitative study was conducted to evaluate the performance of the proposed generic framework from participants by adopting the appropriate questionnaire and retrofitting task-oriented experiment. Overall, it was found that the proposed framework could be a solution for interactive 3D CAD model retrofitting on a combination of UAV sensory setup-acquired PCD and real-time video from the camera in heavy industrial facilities.
Prevalence, Magnitude and Methods of Rapid Weight Loss Reported by Male Mixed Martial Arts Athletes in Ireland
Authors: Connor John , Egan Brendan
Published: September 2019

Rapid weight loss (RWL) is frequently practiced in weight category sports, including Mixed Martial Arts (MMA). The aim of the present study was to describe self-reported methods of RWL in a sample of competitive MMA athletes comprising of both amateur and professional fighters. The previously-validated Rapid Weight Loss Questionnaire, with the addition of questions on water loading and hot salt baths, was completed anonymously online by athletes (n = 30; all male, n = 15/15 professional/amateur) from MMA clubs around Dublin, Ireland. All but one (97%) of the athletes surveyed lost weight in order to compete, with the average weight loss being 7.9% ± 3.1% of habitual body mass. The RWL score (mean ± SD) for this sample was 37.9 ± 9.6, and a tendency for higher [6.0 (95%CI; −1.1, 13.1) (p = 0.093; d = 0.64)] RWL scores for professional (40.8 ± 8.9) compared to amateur (34.8 ± 9.6) athletes was observed. Frequencies of “always” or “sometimes” were reported as 90% for water loading, 76% for hot salt baths and 55% for 24 h of fasting. Fellow fighters (41%) and coaches/mentors (38%) were “very influential” on RWL practices of these athletes, with doctors (67%), dietitians (41%), and physical trainers (37%) said to be “not influential”. RWL is highly prevalent in MMA across both amateur and professional athletes, and RWL scores are higher than other combat sports. Water loading and hot salt baths are amongst the most commonly used methods of RWL despite little research on these methods for body mass reduction or effects on performance in weight category sports.
Validity and Reliability of Kinematics Measured with PUSH Band vs. Linear Encoder in Bench Press and Push-Ups
Authors: van den Tillaar Roland , Ball Nick
Published: September 2019

Background: The aim of this study was to compare the validity and reliability of a PUSH band device with a linear encoder to measure movement velocity with different loads during the push-up and bench press exercises. Methods: Twenty resistance-trained athletes performed push-up and bench press exercises with four different loads: without weight vest, 10-20-30 kg weight vest, bench press: 50–82% of their assumed 1 repetition maximum (1 RM) in steps of 10 kg. A linear encoder (Musclelab) and the PUSH band measured mean and peak velocity during both exercises. Several statistical analyses were used to investigate the validity and reliability of the PUSH band with the linear encoder. Results: The main findings of this study demonstrated only moderate associations between the PUSH band and linear encoder for mean velocity (r = 0.62, 0.70) and peak velocity (r = 0.46, 0.49) for both exercises. Furthermore, a good level of agreement (peak velocity: ICC = 0.60, 0.64; mean velocity: ICC = 0.77, 0.78) was observed between the two measurement devices. However, a significant bias was found with lower velocity values measured with the PUSH band in both exercises. In the push-up, both the linear encoder and PUSH band were deemed very reliable (ICC > 0.98; the coefficient of variation (CV): 5.9–7.3%). Bench press reliability decreased for the PUSH band (ICC < 0.95), and the coefficient of variance increased to (12.8–13.3%) for the velocity measures. Calculated 1 RM with the two devices was the same for the push-up, while in bench press the PUSH band under-estimated the 1 RM by 14 kg compared to the linear encoder. Conclusions: It was concluded that the PUSH band will show decreased reliability from velocity measures in a bench press exercise and underestimate load-velocity based 1 RM predictions. For training, the PUSH band can be used during push-ups, however caution is suggested when using the device for the purposes of feedback in bench press at increasing loads.
Generalizing Predictive Models of Admission Test Success Based on Online Interactions
Authors: Moreno-Marcos Pedro Manuel , De Laet Tinne , Muñoz-Merino Pedro J. , Van Soom Carolien , Broos Tom , Verbert Katrien , Delgado Kloos Carlos
Published: September 2019

To start medical or dentistry studies in Flanders, prospective students need to pass a central admission test. A blended program with four Small Private Online Courses (SPOCs) was designed to support those students. The logs from the platform provide an opportunity to delve into the learners’ interactions and to develop predictive models to forecast success in the test. Moreover, the use of different courses allows analyzing how models can generalize across courses. This article has the following objectives: (1) to develop and analyze predictive models to forecast who will pass the admission test, (2) to discover which variables have more effect on success in different courses, (3) to analyze to what extent models can be generalized to other courses and subsequent cohorts, and (4) to discuss the conditions to achieve generalizability. The results show that the average grade in SPOC exercises using only first attempts is the best predictor and that it is possible to transfer predictive models with enough reliability when some context-related conditions are met. The best performance is achieved when transferring within the same cohort to other SPOCs in a similar context. The performance is still acceptable in a consecutive edition of a course. These findings support the sustainability of predictive models.
Assessment of the Irrigation Water Requirement and Water Supply Risk in the Tarim River Basin, Northwest China
Authors: Wang Fei , Chen Yaning , Li Zhi , Fang Gonghuan , Li Yupeng , Xia Zhenhua
Published: September 2019

Studying the relationship between agricultural irrigation water requirements (IWR) and water supply is significant for optimizing the sustainable management of water resources in Tarim River Basin (TRB). However, the related studies have not quantified the total IWR and the imbalance of irrigation water supply and requirements in the TRB. The study analyzed the spatial-temporal variations of IWR by a modified Penman–Monteith (PM) method during 1990–2015. Five major crops—rice, wheat, maize, cotton, and fruit trees—are chosen for calculating the IWR. It was found that the IWR increased significantly, from 193.14 × 108 m3 in 1990 to 471.89 × 108 m3 in 2015, for a total increase of 278.74 × 108 m3. For the first period (1990–2002), the total IWR remained stable at 200 × 108 m3 but started to increase from 2003 onwards. Significantly more irrigation water was consumed in the oasis regions of the Tienshan Mountains (southern slope) and the Yarkand River (plains). Furthermore, there was an intensified conflict between IWR and water supply in the major sub-basins. The ratios of IWR to river discharge (IWR/Q) for the Weigan-Kuqa River Basin (WKRB), Aksu River Basin (ARB), Kaxgar River Basin (KGRB), and Yarkand River Basin (YRB) were 0.93, 0.68, 1.05, and 0.79, respectively. The IWR/Q experienced serious annual imbalances, as high flows occurred in July and August, whereas critical high IWR occurred in May and June. Seasonal water shortages further aggravate the water stress in the arid region.
Assessment of Urban Green Space Based on Bio-Energy Landscape Connectivity: A Case Study on Tongzhou District in Beijing, China
Authors: Wanghe Kunyuan , Guo Xinle , Luan Xiaofeng , Li Kai
Published: September 2019

Green infrastructure is one of the key components that provides critical ecosystems services in urban areas, such as regulating services (temperature regulation, noise reduction, air purification), and cultural services (recreation, aesthetic benefits), but due to rapid urbanization, many environmental impacts associated with the decline of green space have emerged and are rarely been evaluated integrally and promptly. The Chinese government is building a new city as the sub-center of the capital in Tongzhou District, Beijing, China. A series of policies have been implemented to increase the size of green urban areas. To support this land-use decision-making process and achieve a sustainable development strategy, accurate assessments of green space are required. In the current study, using land-use data and environmental parameters, we assessed the urban green space in the case study area. The bio-energy and its fluxes, landscape connectivity, as well as related ecosystem services were estimated using a novel approach, the PANDORA model. These results show that (1) in the highly urbanized area, green space is decreasing in reaction to urbanization, and landscape fragmentation is ubiquitous; (2) the river ecology network is a critical part for ecosystem services and landscape connectivity; and (3) the alternative non-green patches to be changed to urban, urban patches which can improve landscape quality the most by being changed to green, and conservation priority patches for biodiversity purposes of urban green were explicitly identified. Conclusively, our results depict the spatial distribution, fluxes, and evolution of bio-energy, as well as the conservation prioritization of green space. Our methods can be applied by urban planners and ecologists, which can help decision-makers achieve a sustainable development strategy in these rapidly urbanizing areas worldwide.
Bayesian Structural Time Series and Regression Modeling for Sustainable Technology Management
Authors: Jun Sunghae
Published: September 2019

Many companies take the sustainability of their technologies very seriously, because companies with sustainable technologies are better able to survive in the market. Thus, sustainable technology analysis is important issue in management of technology (MOT). In this paper, we study the management of sustainable technology (MOST). This focuses on the sustainable technology in various MOT fields. In the MOST, sustainable technology analysis is dependent on time periods. We propose a method of sustainable technology analysis using a Bayesian structural time series (BSTS) model based on time series data. In addition, we use the Bayesian regression to find the relational structure between technologies. To show the performance of our method and how the method can be applied to practical works, we carry out a case study using the patent data related to artificial intelligence technologies.
Energy Efficiency and Economic Viability as Decision Factors in the Rehabilitation of Historic Buildings
Authors: Galiano-Garrigós Antonio , González-Avilés Ángel , Rizo-Maestre Carlos , Andújar-Montoya MªDolores
Published: September 2019

The restoration of historical buildings often implies a change in the main use of the building so that it can once again become a part of people’s lives. Among the interventions needed to adapt the buildings to their new purpose, improving the energy performance is always a challenge due to their particular construction solutions and the influence that these improvements can have on their protected elements. The regulations in force in European Union (EU) member states leave a gap in how the energy performance evaluations in these types of buildings can be defined, and even exclude them from the process. However, rehabilitation of buildings is always seen as an opportunity, because it allows the building to once again be useful to society and play an important role in people’s lives. At the same time, it can also improve their performance and allow benefits to be gained from their use through a reduction in maintenance costs. In the rehabilitation process, the economic viability of the renovation plays a fundamental role which must be compared, in the case of protected buildings, to its impact on the architecture of the building. Since 2002, the EU has issued directives with the aim that countries should define objective methods to improve the energy performance of buildings and, in recent times, methods that demonstrate the amortization of such improvements. Within the process of implementing the new methodologies adapted to the EPBD, Spain was one of the last EU countries to define a process for the energy assessment of existing buildings, introducing an analysis of the economic viability of the construction improvements suggested in the process. The objective of this research was to describe the decision-making process during the evaluation of the feasibility of introducing construction improvements to the energy performance of two catalogued historic buildings located in a warm climate. The estimated energy consumption was evaluated, the net present value (NPV) and the payback period of the investment calculated, and the results obtained were compared with the real energy consumption. At the end of the process, it can be said that the methodologies adopted in Spain offer results that can lead designers to make wrong decisions that may affect the protected heritage values of these buildings.
An Asymmetric Distribution with Heavy Tails and Its Expectation–Maximization (EM) Algorithm Implementation
Authors: Olmos Neveka M. , Venegas Osvaldo , Gómez Yolanda M. , Iriarte Yuri A.
Published: September 2019

In this paper we introduce a new distribution constructed on the basis of the quotient of two independent random variables whose distributions are the half-normal distribution and a power of the exponential distribution with parameter 2 respectively. The result is a distribution with greater kurtosis than the well known half-normal and slashed half-normal distributions. We studied the general density function of this distribution, with some of its properties, moments, and its coefficients of asymmetry and kurtosis. We developed the expectation–maximization algorithm and present a simulation study. We calculated the moment and maximum likelihood estimators and present three illustrations in real data sets to show the flexibility of the new model.
A Model for Generating Workplace Procedures Using a CNN-SVM Architecture
Authors: Patalas-Maliszewska Justyna , Halikowski Daniel
Published: September 2019

(1) Background: Improving the management and effectiveness of employees’ learning processes within manufacturing companies has attracted a high level of attention in recent years, especially within the context of Industry 4.0. Convolutional Neural Networks with a Support Vector Machine (CNN-SVM) can be applied in this business field, in order to generate workplace procedures. To overcome the problem of usefully acquiring and sharing specialist knowledge, we use CNN-SVM to examine features from video material concerning each work activity for further comparison with the instruction picture’s features. (2) Methods: This paper uses literature studies and a selected workplace procedure: repairing a solid and using a fuel boiler as the benchmark dataset, which contains 20 s of training and a test video, in order to provide a reference model of features for a workplace procedure. In this model, the method used is also known as Convolutional Neural Networks with Support Vector Machine. This method effectively determines features for the further comparison and detection of objects. (3) Results: The innovative model for generating a workplace procedure, using CNN-SVM architecture, once built, can then be used to provide a learning process to the employees of manufacturing companies. The novelty of the proposed methodology is its architecture, which combines the acquisition of specialist knowledge and formalising and recording it in a useful form for new employees in the company. Moreover, three new algorithms were created: an algorithm to match features, an algorithm to detect each activity in the workplace procedure, and an algorithm to generate an activity scenario. (4) Conclusions: The efficiency of the proposed methodology can be demonstrated on a dataset comprising a collection of workplace procedures, such as the repair of the solid fuel boiler. We also highlighted the impracticality for managers of manufacturing companies to support learning processes in a company, resulting from a lack of resources to teach new employees.
Lebetin 2, a Snake Venom-Derived B-Type Natriuretic Peptide, Provides Immediate and Prolonged Protection against Myocardial Ischemia-Reperfusion Injury via Modulation of Post-Ischemic Inflammatory Response
Authors: Tourki Bochra , Dumesnil Anais , Belaidi Elise , Ghrir Slim , Godin-Ribuot Diane , Marrakchi Naziha , Richard Vincent , Mulder Paul , Messadi Erij
Published: September 2019

Myocardial infarction (MI) followed by left ventricular (LV) remodeling is the most frequent cause of heart failure. Lebetin 2 (L2), a snake venom-derived natriuretic peptide, exerts cardioprotection during acute myocardial ischemia-reperfusion (IR) ex vivo. However, its effects on delayed consequences of IR injury, including post-MI inflammation and fibrosis have not been defined. Here, we determined whether a single L2 injection exerts cardioprotection in IR murine models in vivo, and whether inflammatory response to ischemic injury plays a role in L2-induced effects. We quantified infarct size (IS), fibrosis, inflammation, and both endothelial cell and cardiomyocyte densities in injured myocardium and compared these values with those induced by B-type natriuretic peptide (BNP). Both L2 and BNP reduced IS, fibrosis, and inflammatory response after IR, as evidenced by decreased leukocyte and proinflammatory M1 macrophage infiltrations in the infarcted area compared to untreated animals. However, only L2 increased anti-inflammatory M2-like macrophages. L2 also induced a higher density of endothelial cells and cardiomyocytes. Our data show that L2 has strong, acute, prolonged cardioprotective effects in post-MI that are mediated, at least in part, by the modulation of the post-ischemic inflammatory response and especially, by the enhancement of M2-like macrophages, thus reducing IR-induced necrotic and fibrotic effects.
Application of a Phage Cocktail for Control of Salmonella in Foods and Reducing Biofilms
Authors: Islam Md. Sharifull , Zhou Yang , Liang Lu , Nime Ishatur , Liu Kun , Yan Ting , Wang Xiaohong , Li Jinquan
Published: September 2019

Salmonella contamination in foods and their formation of biofilms in food processing facility are the primary bacterial cause of a significant number of foodborne outbreaks and infections. Broad lytic phages are promising alternatives to conventional technologies for pathogen biocontrol in food matrices and reducing biofilms. In this study, 42 Salmonella phages were isolated from environmentally-sourced water samples. We characterized the host range and lytic capacity of phages LPSTLL, LPST94 and LPST153 against Salmonella spp., and all showed a wide host range and broad lytic activity. Electron microscopy analysis indicated that LPSTLL, LPST94, and LPST153 belonged to the family of Siphoviridae, Ackermannviridae and Podoviridae, respectively. We established a phage cocktail containing three phages (LPSTLL, LPST94 and LPST153) that had broad spectrum to lyse diverse Salmonella serovars. A significant decrease was observed in Salmonella with a viable count of 3 log10 CFU in milk and chicken breast at either 25 °C or 4 °C. It was found that treatment with phage cocktail was able to significantly reduced biofilm on a 96-well microplate (44–63%) and on a stainless steel surface (5.23 to 6.42 log10). These findings demonstrated that the phage cocktail described in this study can be potentially used as a biological control agent against Salmonella in food products and also has the effect to reduce Salmonella formed biofilms.
Groundwater Recharge Prediction Using Linear Regression, Multi-Layer Perception Network, and Deep Learning
Authors: Huang Xin , Gao Lei , Crosbie Russell S. , Zhang Nan , Fu Guobin , Doble Rebecca
Published: September 2019

As the largest freshwater storage in the world, groundwater plays an important role in maintaining ecosystems and helping humans adapt to climate change. However, groundwater dynamics, such as groundwater recharge, cannot be measured directly and is influenced by spatially and temporally complex processes, models are therefore required to capture the dynamics and provide scientific advice for decision-making. This paper developed, estimated and compared the performance of linear regression, multi-layer perception (MLP) and Long Short-Term Memory (LSTM) models in predicting groundwater recharge. The experimental dataset consists of time series of annual recharge from the year 1970 to 2012, based on water table fluctuation estimates from 465 bores in the states of South Australia and Victoria, Australia. We identified the factors that influenced groundwater recharge and found that the correlation between rainfall and groundwater recharge was strongest. The linear regression model had the poorest fitting performance, with the root mean squared error (RMSE) being greater than 0.19 when various proportions of training data were considered. The MLP model outperformed the linear regression in the prediction capability, achieving RMSE = 0.11 when 80% of training data was considered. The LSTM model was found to have the best performance, whose root mean squared errors were less than 0.12 when various proportions of training data were applied. The relative importance of influential predictors was evaluated using the above three models.
A Comprehensive Performance Assessment of the Modified Philip–Dunne Infiltrometer
Authors: Alakayleh Zuhier , Fang Xing , Clement T. Prabhakar
Published: September 2019

This study aims at furthering our understanding of the Modified Philip–Dunne Infiltrometer (MPDI), which is used to determine the saturated hydraulic conductivity Ks and the Green–Ampt suction head Ψ at the wetting front. We have developed a forward-modeling algorithm that can be used to simulate water level changes inside the infiltrometer with time when the soil hydraulic properties Ks and Ψ are known. The forward model was used to generate 30,000 water level datasets using randomly generated values of Ks and Ψ values. These model data were then compared against field-measured water level drawdown data collected for three types of soil. The Nash–Sutcliffe efficiency (NSE) was used to assess the quality of the fit. Results show that multiple sets of the model parameters Ks and Ψ can yield drawdown curves that can fit the field-measured data equally well. Interestingly, all the successful sets of parameters (delineated by NSE ≥ the threshold value) give Ks values converged to a valid range that is fully consistent with the tested soil texture class. However, Ψ values varied significantly and did not converge to a valid range. Based on these results, we conclude that the MPDI is a useful field method to estimate Ks values, but it is not a robust method to estimate Ψ values. Further studies are needed to improve the experimental procedures that can yield more sensitive data that can help uniquely identify Ks and Ψ values.
A Study on the Improvement of Flood Forecasting Techniques in Urban Areas by Considering Rainfall Intensity and Duration
Authors: Choo Yeon Moon , Jo Deok Jun , Yun Gwan Seon , Lee Eui Hoon
Published: September 2019

Frequent localized torrential rains, excessive population density in urban areas, and increased impervious areas have led to massive flood damage that has been causing overloading of drainage systems (watersheds, reservoirs, drainage pump sites, etc.). Flood concerns are raised around the world in the events of rain. Flood forecasting, a typical nonstructural measure, was developed to help prevent repetitive flood damage. However, it is difficult to apply flood prediction techniques using training processes because training needs to be applied at every usage. Other techniques that use predicted rainfall data are also not appropriate for small watershed, such as single drainage area. Thus, in this paper, a flood prediction method is proposed by improving four criteria (50% water level, 70% water level, 100% water level, and first flooding of water pipes) in an attempt to reduce flooding in urban areas. The four criteria nodes are generated using a rainfall runoff simulation with synthetic rainfall at various durations. When applying real-time rainfall data, these nodes have the advantage of simple application. The improved flood nomograph made in this way is expected to help predict and prepare for rainstorms that can potentially cause flood damage.
Spatiotemporal Water Quality Variations in Smaller Water Supply Systems: Using Modified CCME WQI from Groundwater Source to Distribution Networks
Authors: Haider Husnain , Alkhowaiter Mohammed Hammed , Shafiquzzaman Md. , AlSaleem Saleem S. , Almoshaogeh Meshal , Alharbi Fawaz
Published: September 2019

Original Canadian Council of Minster of the Environment Water Quality Index (CCME WQI) is being used for assessing the water quality of surface water sources and distribution systems on a case by case basis. Its full potential as a management tool for complete water supply systems (WSSs) has yet to be recognized at the global level. A framework is developed using the modified CCME WQI to assess spatiotemporal water quality from groundwater source to treatment and distribution networks in smaller systems. The modified index resolves a limitation of the original index by also evaluating the microbiological water quality parameters which have to be completely absent for meeting desired drinking water quality standards. The framework divides the distribution network in different zones, which are further segregated into districts, to improve the decision-making process. Temporal assessment identifies the seasons with higher probabilities of failures, while the spatial assessment provides an insight on the performance (i.e., Excellent to Poor) of each district in a distribution network. In addition to failure probability, risk mapping gives appropriate attention to the number of consumers in different districts. Application of the framework on two smaller WSSs (population less than 50,000) in Qassim region revealed that the remotely located districts from the treatment facility underperform in comparison to the closely situated districts. Managers can effectively apply the proposed framework to identify the locations and periods of water quality failures in each component (i.e., source, treatment, and distribution) of a smaller WSS for effective utilization of their resources in Saudi Arabia and elsewhere with similar conditions.
EDITH STEIN E O DIREITO
Authors: Barros Mônica Vasques Monteiro de
Published: September 2019

Este artigo é sobre os fundamentos do Direito na obra de Edith Stein. Stein nos convida a examinar as distintas formas de convivência partindo do Eu, do Outro, da empatia, da massa, da comunidade, da sociedade e, enfim, do Estado e sua soberania. É no contexto desta trajetória conceitual prática que investiga a fundamentação do Direito e encontra no Direito a priori sua pedra angular. Após esta breve exposição, enfatizo algumas semelhanças e diferenças entre a ideia de Direito em Os Fundamentos a priori do Direito Civil de Adolf Reinach e os Escritos filosóficos sobre o Estado de Stein. Concluo que a proposta de Stein, por ser conceitualmente mais abrangente traçando o percurso desde o Eu, melhor fundamenta o Direito positivo. Ademais, amplia os horizontes filosóficos adentrando em uma nova região ontológica do mundo da vida.
Sobre a gênese do pensamento de Levinas: o Eros entre literatura e filosofia
Authors: Ciaramelli Fabio
Published: September 2019

Nestas páginas, apoiando-me essencialmente nos Cahiers de captivité e nos dois esboços de romance inacabados e publicados nas OEvres completes, examinarei de que modo, nos seus anos de juventude, Levinas explorou a escrita literária como via de acesso à alteridade radical através de uma descrição narrativa da relação erótica. Porém, suas tentativas de escrever romances permaneceram inacabadas, e a descrição narrativa do eros deu lugar à sua descrição fenomenológica, apresentada na quarta seção de Totalidade e Infinito.

 

Palavras-chave: Literatura, Eros, Alteridade, Fenomenologia, Evasão.
Examinations connected with productive life in Hungarian Holstein Friesian populations
Authors: Berta Attila , Béri Béla
Published: September 2019

In Hungary, an intensive dairy population has developed in the last few decades as the result of upgrading to Holstein-Friesian. Intensive milk production, adjusted with housing and feeding, unfavorably affected secondary traits. The number of days between two calvings has increased remarkably and productive lifetime has decreased drastically. In the interest of profitable milk production, it is important that cows should be able to stay in the herd as long as possible, in order to have great lifetime productivity.The aim of this paper was to compare the production and pedigree of cows with eight or more lactations to cows which were culled after their first lactation.It can be stated that cows with longer herd lives produced more milk in their first lactation than those which were culled after their first lactation. When analyzing the pedigree effect of sires, this could not be proven, although some bulls, mainly of Hungarian origin, appeared at a higher frequency. In the analysis of the effect of dams, it was found that many of the offspring of the cows with longer herd lives had similarly great lifetime productivity. Correlation between herdlife and milk production quantity traits was found to be mild or stronger (r>0,60), while according to our analysis, there is no correlation between herdlife and milk production quality traits.
A Traditional Chinese Medicine (TCM) Based Screener for Autistic Spectral Symptoms
Authors: Hui Xie Guo
Published: September 2019

Unlike most of the autism screeners that use the classical triad of impairments in social interaction, communication and stereotyped behaviors to identify autism, the present screener is based on the yin-yang concept of dualism relying on the eight principles of the Chinese Traditional Medicine (TCM) to understand autism. Though not validated yet, it can still be used as an alternative screening tool by parents, teachers and other interested parties, such as the TCM practitioners, to make an initial identification of someone displaying prodromal autistic spectral symptoms, ranging from one end of the continuum that shows signs of low passivity (yin) to the other end that shows signs of high activity or reactivity (yang) in responding to either eternal or internal stimuli. The screener is strictly not to be used as a diagnostic tool. However, its results may be used for a possible quick referral to the professionals for a formal assessment to be conducted so that early intervention can be provided before the condition becomes more serious over time.
Geleneğin İcadında Karacaşehir Camii Örneği
Authors: ERTUĞRUL Zeynep
Published: September 2019

Erken
Osmanlı arkeolojisinin önemli yerleşimlerinden olan Karacahisar Kalesinin
eteklerinde yer alan Karacaşehir Köyü Camisi kare planlı, ahşaptan iki ayak ile
taşınan balkon biçiminde bir kadınlar mahfiline, sade, bezemesiz yarım daire
bir mihrap nişine sahiptir ve tek minarelidir. Bu küçük ölçekli caminin en
dikkat çekici mimari verileri harimin çökertme tavanı ve minarenin kubbemsi
örtüsüdür. Yapının mimari özellikleri ve tarihi kaynaklardaki bilgiler
tarihçesini Osmanlı Devletinin kuruluşuna kadar indiremese de, Karacaşehir Cami
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için hali hazırda bir geleneğin icat edilmiş olduğunu göstermektedir.
Prevalencia de hiperplasia benigna de próstata en mayores de 40 años como causa de insuficiencia renal crónica
Authors: José Hernández-Anchante  , Julia Bendezú-Pizarro  , Betsy Franco-Alva  , Rosa Gala-Escobar
Published: September 2019

Con el objetivo de determinar la prevalencia de uropatía obstructiva crónica en pacientes mayores de 40 años con insuﬁciencia renal crónica como consecuencia de hiperplasia benigna de próstata (HBP), se desarrolló un estudio observacional, descriptivo y retrospectivo en una población conformada por todos los pacientes varones mayores de 40 años con insuﬁciencia renal crónica (IRC) como consecuencia de hipertroﬁa benigna de próstata, atendidos en el consultorio de Nefrología del Hospital EsSalud “Augusto Hernández Mendoza” de la ciudad de Ica, entre Mayo del 2011 y Abril del 2012; encontrándose que la edad promedio fue 74,3 ±0,9 años, el tiempo promedio de insuﬁciencia renal crónica fue de 28,8±1,2 meses, 62 (53,4 %) pacientes presentaron comorbilidades, siendo la diabetes mellitus la más frecuente (37; 31,9%), 62 (53,4%) pacientes recibían tratamiento farmacológico, 35 (30,17%) presentaron uropatía obstructiva crónica, con un tiempo de enfermedad promedio de 24,8±2,2 meses, ademas la presencia de diabetes mellitus (6; 16,2%) y la administración de antagonistas de calcio (7; 58,3%) se asociaron a uropatía obstructiva crónica; concluyendo que la uropatía obstructiva crónica es frecuente en el paciente con IRC a consecuencia de HBP y se asocia a diabetes mellitus y tratamiento con antagonistas de calcio.
Factores de riesgo asociados a bronquiolitis en un servicio de emergencia pediátrica
Authors: Eusebio Aliaga-Guillen  , Karin Lilli Serpa-Carlos
Published: September 2019

Objetivo: Determinar los factores de riesgo de contraer bronquiolitis en niños menores de dos años ingresados en el servicio de emergencias del Hospital Regional de Ica. Materiales y métodos: se realizó un estudio observacional analítico en 39 casos y 210 controles durante el año 2011. Los casos (bronquiolitis) fueron captados en el servicio de emergencia y los controles en el servicio de niño sano (CRED). Se aplicaron las pruebas Chi cuadrado (χ2) y Odss Ratio (OR) mediante análisis bivariado (OR crudo) y multivariado de regresión logística binaria con bondad de ajuste de Hosmer-Lemeshow (OR ajustado). Resultados: La bronquiolitis se relacionó con los antecedentes de: enfermedad pulmonar previa (p<0.01), familiar con atopía (p<0.01), familiar con asma bronquial (p<0.01), tabaquismo materno y/o paterno (p=0.0499), tipo de piso de la vivienda (p<0.01), ventilación de la habitación del niño (p<0.01), presencia de familiar con infección respiratoria aguda (p<0.01) y asistencia a nido y/o guardería (p=0.0164). en el análisis multivariado, el antecedente familiar de atopía (OR=11.829; IC95%=1.948-71.815), la presencia de familiar con infección respiratoria aguda (IRA) (OR=48.478; IC95%=11.694-200.980), el tabaquismo materno y/o paterno (OR=30.576; IC95%=1.332-701.902), la habitación del niño sin ventilación (OR=8.038; IC95%=2.195-29.438) y el piso de tierra en la vivienda (OR=7.760; IC95%=1.932-31.168) fueron factores de riesgo muy signiﬁcativos. Conclusiones: El antecedente familiar de atopía, la presencia de familiar con IRA, el tabaquismo materno y/o paterno, la habitación del niño sin ventilación y el piso de tierra y/o falso piso en la vivienda son factores de riesgo para bronquiolitis en niños menores de dos años.
CONOCIMIENTO Y ACTITUDES DE LAS GESTANTES SOBRE LOS PRINCIPALES SIGNOS Y SÍNTOMAS DE ALARMA EN EL EMBARAZO, HOSPITAL REGIONAL DE ICA, ENERO 2017
Authors: Estrock Estrock , Rusber O.Sulca-Diaz  , Rosario P. Peñafiel-Palomino  , Juan A. De la Rosa-Ventura
Published: September 2019

Objetivo: Determinar los conocimientos y actitudes sobre los principales signos y síntomas de alarma durante el embarazo en las gestantes hospitalizadas en el Servicio de Obstetricia del Hospital Regional de Ica, enero 2017. Material y métodos: Se realizó un estudio de tipo prospectivo, descriptivo y de corte transversal. En 150 gestantes hospitalizadas en el Servicio de Obstetricia del Hospital Regional de Ica. Se empleó una encuesta como instrumento de recolección de datos. Resultados: Existe una asociación entre el nivel de conocimientos y las actitudes adoptadas por las gestantes (X2 =89.303; gl=4; p=0.000). El nivel de conocimiento es alto con un 70.7% y las actitudes son favorables con un 95.3%. El 70.7% tiene entre 20 a 34 años; el 61.3% son de estado civil conviviente, el 50% tienen grado superior y el 85.3% convive con su pareja, el 37.3% están gestando por primera vez, el 67.3% se encuentran en la segunda mitad del embarazo, el 86.7% conoce sobre los signos y síntomas de alarma, de estos el 96.7% refiere haber recibido la información por parte de un profesional de la salud. Los signos y síntomas de alarma más reconocidos por las gestantes fueron: el Sangrado vaginal, fiebre y pérdida de líquido amniótico. Conclusiones: Existe una correlación entre las variables de estudio, ya que a mayor nivel de conocimiento se muestra una mejor actitud frente a los signos y síntomas de alarma.
RELATO DE EXPERIÊNCIA: O GÊNERO RESUMO ACADÊMICO EM FOCO
Authors: Silva Sandro Luis da
Published: September 2019

Este artigo apresenta o relato de experiência no trabalho realizado com o gênero “resumo”. Elegeu-se como categoria de análise a referência bibliográfica, a coesão e a coerência textuais e as expressões e verbos que remetessem à voz do autor do texto. O corpus são vinte resumos elaborados pelos alunos do primeiro semestre do curso de Gestão Empresarial em uma Faculdade Pública de São Paulo, escolhidos aleatoriamente entre os sessenta da turma. O estudo pauta-se em Machado (2005) e Matêncio (2003) quanto ao gênero, em Koch (2002) e em Kleiman (1992) quanto ao texto, à leitura e à produção de sentido. Os alunos apresentam dificuldades na produção do resumo, com defasagem no processo de leitura de um texto.
Apresentação
Authors: Costa Marco Antônio Margarido
Published: September 2019

Apresentação do volume 13, número 2 da Revista Leia Escola.
CONHECIMENTOS LINGUÍSTICO-DISCURSIVOS NA SALA DE AULA DE LÍNGUA PORTUGUESA: DESENVOLVENDO “TÁTICAS” PARA DESOBEDECER A PROPOSTAS PRONTAS
Authors: Zozzoli Rita Maria Diniz
Published: September 2019

Este texto propõe uma reflexão sobre o trabalho prático efetuado com os conhecimentos linguístico-discursivos na sala de aula de língua portuguesa. Após reflexões gerais sobre o ensino e a aprendizagem desses conhecimentos, apresenta-se uma análise de um exercício de livro didático, focalizando os seguintes pontos: o tipo de conhecimento veiculado e a forma de exploração desse conhecimento. Conclui-se que as propostas de ensino continuam sugerindo uma “aplicação de conteúdos”, combinando-os a práticas reconhecidamente “tradicionais” e que o professor está frequentemente “confinado” dentro do que preestabelece o discurso dos produtores (DE CERTEAU, 1996). A partir daí, discute-se sobre a formação necessária ao professor de LM para que esteja em condições de “desobedecer” ao que já está posto (DE CERTEAU, 1996; SANTOS, 2007, 2008).
PARTIR, QUERENDO FICAR: MIGRAÇÕES E IDENTIDADES NA LITERATURA DE CORDEL
Authors: Santos Junior José Welton Ferreira dos , Silva Rejane Vecchia da Rocha e
Published: September 2019

Este artigo apresenta uma leitura sobre o tema da migração na literatura de cordel. Para tanto, foram analisados alguns textos literários em diálogo com estudos sobre as migrações internas no Brasil, considerando o contingente de nordestinos que se deslocaram do Nordeste em direção às grandes capitais do Brasil. Foram problematizadas, ainda, as estratégias de construção identitária e as subjetividades evidenciadas a partir da análise de algumas representações elaboradas nos textos populares, tendo em vista as especificidades históricas e sociais da diáspora nordestina.
PONTOS DE VISTA DE FORMADORES SOBRE O ENSINO DE TEXTOS ORAIS: POR QUÊ? O QUÊ? COMO?
Authors: Luna Ewerton Ávila dos Anjos
Published: September 2019

Considerando a relevância da formação inicial do professor de português para o processo de construção de saberes docentes sobre o ensino da oralidade, este estudo objetivou investigar o que pensam professores universitários sobre o porquê de contemplar textos orais na escola, quais gêneros textuais devem ser selecionados e como viabilizar estratégias didáticas nas práticas de ensino. Para isso foram entrevistados cinco formadores que atuam em um curso de Licenciatura em Letra-Português. Os dados apontaram que, mesmo com algumas inquietações, a fala dos docentes está em conformidade com o que preconizam documentos oficiais e com o que tem sido evidenciado por estudos recentes.
FADAS E PIVETES: A INFÂNCIA EM CHICO BUARQUE
Authors: Cardoso Elizabeth
Published: September 2019

O presente artigo tem como objetivo uma aproximação inicial com dois modos da presença da infância na obra de Chico Buarque de Holanda. Primeiro, apresentaremos as produções francamente destinadas às crianças – o livro Chapeuzinho Amarelo e a peça Os Saltimbancos, ambas são resultados do diálogo do autor e dramaturgo com a tradição oral, os contos de fadas. Depois, assinalaremos como a infância está representada nas canções de Chico. O eixo norteador do trabalho é averiguar as múltiplas presenças da infância, vista aqui como um conhecimento que pertence às pessoas de todas as idades na obra de Chico Buarque.
A CONCEPÇÃO DE PRÁTICA SOCIAL POR MEIO DA APROPRIAÇÃO DE GÊNEROS DISCURSIVOS EM DOCUMENTOS NACIONAIS: DOS PCN À BNCC
Authors: Mendes Batista Luiz Eduardo
Published: September 2019

Este artigo objetiva analisar a noção de prática social no ensino de língua portuguesa por meio da apropriação de gêneros discursivos, como definidos por Michail Bakhtin, na trajetória de construção de documentos curriculares no Brasil, especialmente os Parâmetros Curriculares Nacionais – PCN –, de 1998, e a Base Nacional Comum Curricular, de 2017. Entendemos que uma proposta de ensino-aprendizagem de língua que propicie uma efetiva participação social democrática dos alunos nas diversas esferas de atividade considera os gêneros como objeto central. De modo geral, os documentos apresentam problemas de tratamento dado aos gêneros, como a bricolagem de conceitos como texto, gênero e tipo, especialmente nos PCN, e uma centralização inflexível da proposta de trabalho com gêneros a partir da progressão de aprendizagens, na BNCC, desafiando pesquisadores e professores a uma revisão crítica desses documentos.