scholarly journals ANÁLISE DE EFICIÊNCIA ENERGÉTICA EM INSTITUIÇÕES DE ENSINO SUPERIOR MULTICAMPI E UMA NOVA PROPOSTA DE ROTULAGEM AMBIENTAL

2020 ◽  
pp. 1-19
Author(s):  
Osvaldo Augusto Vasconcelos de Oliveira Lopes Da Silva ◽  
José Machado Moita Neto ◽  
Marcos Antônio Tavares Lira
Keyword(s):  
Energy Efficiency ◽  
Management Strategies ◽  
Relative Energy ◽  
Administrative Management ◽  
Environmental Labeling ◽  
Performance Indexes ◽  
Environmental Management Strategies ◽  
Low Efficiency ◽  
Environmental Labels

The expansion of Brazilian higher education institutions (HEIs) organized in multicampi structures brought a significant complexity to the academic and administrative management. In this context, environmental management strategies become quite relevant, especially when considering the low effectiveness of the Brazilian Labeling Program (BLP) for the classification of buildings in practice. The main objective of the present paper is to evaluate the BLP efficacy as applied to HEI buildings, aiming to develop a new environmental labeling model for multicampi HEIs. For this purpose, the BLP was applied to the labeling of Instituto Federal de Educação, Ciência e Tecnologia do Piauí (IFPI), employing data obtained from electricity bills between 2016 and 2018. The energy diagnosis was performed considering distinct indicators,performance indexes, levels and rankings of relative energy efficiency, from which energy efficiency labels could be developed. The results allow the verification of the low efficiency of the BLP, especially in the environmental labeling of HEIs. From the detailed analysis of bills, it is possible to develop environmental labels inspired by the BLP, resulting in a different approach. A novel type-II environmental labeling methodology is then introduced based on the breakdown of electricity bills and statistical methods.

Research on cargo-loading optimization based on genetic and fuzzy integration

2021 ◽  
Vol 40 (4) ◽  
pp. 8493-8500
Author(s):  
Yanwei Du ◽  
Feng Chen ◽  
Xiaoyi Fan ◽  
Lei Zhang ◽  
Henggang Liang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Three Dimensional ◽  
Distribution Center ◽  
Long Time ◽  
Low Efficiency ◽  
Decision Making Model ◽  
The Mathematical Model ◽  
Loading Scheme

With the increase of the number of loaded goods, the number of optional loading schemes will increase exponentially. It is a long time and low efficiency to determine the loading scheme with experience. Genetic algorithm is a search heuristic algorithm used to solve optimization in the field of computer science artificial intelligence. Genetic algorithm can effectively select the optimal loading scheme but unable to utilize weight and volume capacity of cargo and truck. In this paper, we propose hybrid Genetic and fuzzy logic based cargo-loading decision making model that focus on achieving maximum profit with maximum utilization of weight and volume capacity of cargo and truck. In this paper, first of all, the components of the problem of goods stowage in the distribution center are analyzed systematically, which lays the foundation for the reasonable classification of the problem of goods stowage and the establishment of the mathematical model of the problem of goods stowage. Secondly, the paper abstracts and defines the problem of goods loading in distribution center, establishes the mathematical model for the optimization of single car three-dimensional goods loading, and designs the genetic algorithm for solving the model. Finally, Matlab is used to solve the optimization model of cargo loading, and the good performance of the algorithm is verified by an example. From the performance evaluation analysis, proposed the hybrid system achieve better outcomes than the standard SA model, GA method, and TS strategy.

scholarly journals Chronic subdural hematoma - diagnosis, treatment and perspectives

2020 ◽  
Vol 73 (9-10) ◽  
pp. 295-300
Author(s):  
Mirela Jukovic ◽  
Viktor Till
Keyword(s):  
Computed Tomography ◽  
Subdural Hematoma ◽  
Diagnostic Method ◽  
Clinical Presentation ◽  
Management Strategies ◽  
Disease Onset ◽  
Chronic Subdural Hematoma ◽  
Disease Therapy ◽  
Conservative And Surgical Treatment

Introduction. Chronic subdural hematoma has become an important entity in radiological, neurological and neurosurgery practice. Classification. The classification of chronic subdural hematoma is most often done in relation to the time of the disease onset (acute, subacute and chronic), whereas the second classification is based on hematoma density using computed tomography. Clinical presentation. The clinical presentation may mimic a spectrum of various diseases and chronic subdural hematoma can be easily overlooked without radiological verification. Diagnosis. The diagnosis of chronic subdural hematoma is partly clinical and partly radiological. In most cases, computed tomography is the initial diagnostic method for detection of this disease. Many studies point to different management strategies in the diagnosis and treatment of the disease. Therapy. The therapy of chronic subdural hematoma depends on the patient?s neurological deficit, but generally it is divided into conservative and surgical treatment. Conclusion. The aim of this paper is to review chronic subdural hematomas with reference to their clinical and radiological characteristics for better understanding of these phenomena.

scholarly journals Efficiency and Persistence of Movento® Treatment against Myzus persicae and the Transmission of Aphid-Borne Viruses

Plants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2747
Author(s):  
Thomas Armand ◽  
Luâna Korn ◽  
Elodie Pichon ◽  
Marlène Souquet ◽  
Mélissandre Barbet ◽  
...  
Keyword(s):  
Sugar Beet ◽  
Myzus Persicae ◽  
High Efficiency ◽  
Plant Protection ◽  
Management Strategies ◽  
Plant Protection Products ◽  
Viral Transmission ◽  
The European Union ◽  
Low Efficiency ◽  
The Impact

Neonicotinoids are widely used to protect fields against aphid-borne viral diseases. The recent ban of these chemical compounds in the European Union has strongly impacted rapeseed and sugar beet growing practices. The poor sustainability of other insecticide families and the low efficiency of prophylactic methods to control aphid populations and pathogen introduction strengthen the need to characterize the efficiency of new plant protection products targeting aphids. In this study, the impact of Movento® (Bayer S.A.S., Leverkusen, Germany), a tetrameric acid derivative of spirotetramat, on Myzus persicae and on viral transmission was analyzed under different growing temperatures. The results show (i) the high efficiency of Movento® to protect rapeseed and sugar beet plants against the establishment of aphid colonies, (ii) the impact of temperature on the persistence of the Movento® aphicid properties and (iii) a decrease of approximately 10% of the viral transmission on treated plants. These observations suggest a beneficial effect of Movento® on the sanitary quality of treated crops by directly reducing primary infections and indirectly altering, through aphid mortality, secondary infections on which the spread of disease within field depends. These data constitute important elements for the future development of management strategies to protect crops against aphid-transmitted viruses.

scholarly journals A New Classification for Hemorrhoidal Disease: The Creation of the “BPRST” Staging and Its Application in Clinical Practice

2020 ◽  
Vol 36 (4) ◽  
pp. 249-255 ◽  
Author(s):  
Carlos Walter Sobrado Júnior ◽  
Carlos de Almeida Obregon ◽  
Afonso Henrique da Silva e Sousa Júnior ◽  
Lucas Faraco Sobrado ◽  
Sérgio Carlos Nahas ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Strong Association ◽  
Management Strategies ◽  
Hemorrhoidal Disease ◽  
New Classification ◽  
The Past ◽  
Internal Hemorrhoids ◽  
New Treatment ◽  
Treatment Alternatives

Purpose: Present an updated classification for symptomatic hemorrhoids, which not only guides the treatment of internal hemorrhoids but also the treatment of external components. In addition, this new classification includes new treatment alternatives created over the last few years.Methods: Throughout the past 7 years, the authors developed a method to classify patients with symptomatic hemorrhoids. This study, besides presenting this classification proposal, also retrospectively analyzed 149 consecutive patients treated between March 2011 and November 2013 and aimed to evaluate the association between the management adopted with Goligher classification and our proposed BPRST classification.Results: Both classifications had a statistically significant association with the adopted management strategies. However, the BPRST classification tended to have fewer management discrepancies when each stage of disease was individually analyzed.Conclusion: Although there is much disagreement about how the classification of hemorrhoidal disease should be updated, it is accepted that some kind of revision is needed. The BPRST method showed a strong association with the management that should be adopted for each stage of the disease. Further studies are needed for its validation, but the current results are encouraging.

scholarly journals Using osteological measurements to estimate body length in Amazonian manatees

2021 ◽  
Vol 51 (2) ◽  
pp. 156-161
Author(s):  
Gisele de Castro Maciel VALDEVINO ◽  
Vera Maria Ferreira DA SILVA ◽  
Rodrigo de Souza AMARAL
Keyword(s):  
Body Length ◽  
Management Strategies ◽  
Age Groups ◽  
The Body ◽  
Simple Linear Regression ◽  
Age Classes ◽  
Linear Measurements ◽  
Behavioral Studies ◽  
Condylobasal Length

ABSTRACT Body length is an important parameter in morphological, ecological and behavioral studies of a species and contributes to the understanding of the body condition of individuals. This parameter is essential for conservation and management strategies by informing studies evaluating growth rates, physical maturity and classification of individuals into age groups, promoting better accuracy for the biological parameters of the species. The aim of this study was to identify predictors of body length for Amazonian manatees (Trichechus inunguis) using metric characters of osteological materials. Eleven linear measurements of skull, jaw, scapulae and humeri were collected from 41 Amazonian manatee skeletons of different age classes (calf, juvenile and adult). Data were analyzed by simple linear regression. The condylobasal length was the best predictor of body length for the species (R = 0.943), however, all bones evaluated showed at least one measurement with the capacity to predict body size (R2 > 0.9). Results of this study are useful for inferring body length of Amazonian manatees using bones deposited in museums and biological collections, expanding the informative potential of these materials.

Effective Classification of Melting Curve in Real-Time PCR based on Dynamic Filter-based Convolutional Neural Network

2021 ◽  
Vol 16 ◽  
Author(s):  
Di Gai ◽  
Xuanjing Shen ◽  
Haipeng Chen
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Melting Curve ◽  
Classification Model ◽  
Proposed Model ◽  
Unbalanced Dataset ◽  
Manual Selection ◽  
Low Efficiency ◽  
Dynamic Filter

Background: The effective classification of the melting curve is conducive to measure the specificity of the amplified products and the influence of invalid data on subsequent experiments is excluded. Objective: In this paper, a convolutional neural network (CNN) classification model based on dynamic filter is proposed, which can categorize the number of peaks in the melting curve image and distinguish the pollution data represented by the noise peaks. Method: The main advantage of the proposed model is that it adopts the filter which changes with the input and uses the dynamic filter to capture more information in the image, making the network learning more accurate. In addition, the residual module is used to extract the characteristics of the melting curve, and the pooling operation is replaced with an atrous convolution to prevent the loss of context information. Result: In order to train the proposed model, a novel melting curve dataset is created, which includes a balanced dataset and an unbalanced dataset. The proposed method uses six classification-based assessment criteria to compare with seven representative methods based on deep learning. Experimental results show that proposed method is not only markedly outperforms the other state-of-the-art methods in accuracy, but also has much less running time. Conclusion: It evidently proves that the proposed method is suitable for judging the specificity of amplification products according to the melting curve. Simultaneously, it overcomes the difficulties of manual selection with low efficiency and artificial bias.

The Environmental-adjusted Energy Efficiency of China’s Construction Industry: A Three-stage Undesirable SBM-DEA Model

2021 ◽  
Author(s):  
Yufeng Chen ◽  
Lihua Ma ◽  
Zhitao Zhu
Keyword(s):  
Energy Efficiency ◽  
Construction Industry ◽  
Building Materials ◽  
External Environment ◽  
High Energy ◽  
Management Level ◽  
Dea Model ◽  
Improve Energy Efficiency ◽  
Low Efficiency ◽  
Pillar Industry

Abstract Construction industry is a pillar industry of China's national economy but its problems of high energy consumption, high pollution and low energy efficiency is increasingly prominent. The study on the energy efficiency of construction industry is of great significance for improving development quality and achieving the goal of energy saving and emission reduction. In this paper, a three-stage undesirable SBM-DEA model was employed to measure the energy efficiency in construction industry during 2005 -2016. The CO2 directly emitted by the construction industry and indirectly emitted in the production of building materials were used as the undesirable output and the three-stage framework was employed to analyze and eliminate the influence of external environment. The empirical results showed that low efficiency of management in the construction industry is an important factor leading to the low level of energy efficiency in China’s construction industry. For the energy efficiency value before and after adjustment, the “high-high” provinces has made full use of the superior external environment by their high management level, while the “high-low” provinces needs to fully realize the potential in promoting energy efficiency of its external environment by improving its own management of construction industry. On the contrary, the “low-high” provinces need to improve the external environment to ease its restrictions on the level of management in the construction industry. Environmental factors and management level should be considered simultaneously for different provinces to improve energy efficiency of construction industry.

Water Accounting Plus (WA+) through Remote Sensing in the Yarmouk Tributary Basin

2021 ◽  
Author(s):  
Chadi Abdallah ◽  
Gina Tarhini ◽  
Mariam Daher ◽  
Hussein Khatib ◽  
Mark Zeitoun
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Management Strategies ◽  
Initial Distribution ◽  
Yarmouk River ◽  
The Status ◽  
Irrigated Crops ◽  
Water Accounting ◽  
Derived Data

<p>Coping with the issue of water scarcity and growing competition for water among different sectors requires effective water management strategies and decision processes. ‘Getting it right’ becomes doubly important when dealing with intenational transboundary rivers. The Yarmouk tributary to the Jordan River is one highly exploited in the Middle East, and is enveloped by ambiguous treaties and decades of violent and non-violent conflict. Seeking to chart a more sustainable and equitable future, this work performs a 'water accounting plus' methodology employing readily available remotely sensed satellite-based data coupled with available measurements.  A variety of methods described herein were used to detect irrigated crops and produce maps showing the distribution throughout the basin. The framework also focuses on the classification of land use categories and the processes by which water is depleted over all land use classes that contributes to separate the beneficial from non-beneficial usage of water. The analysis was started prior to the 2011 start of the Syrian war in order to study the initial distribution of land use classes as well as the water depletion processes before any change in the basin. It shows that more than half of the exploitable water is not consumed within the basin and depleted outside. In contrast, most of the water consumed within the basin is wasted and depleted in a non-beneficial way. Roughly 35% of the cultivated area shown to be irrigated through withdrawals which exceed the capacity of the source. This result reflects the high abstraction rates from groundwater via a large number of unlicensed wells mostly located at the Syrian side. This study also detect a deficiency in the water balance of the Yarmouk River. The findings are relevant to sustainable management not only for water-dependent sectors but also for geopolitical stability among the riparian countries. In this way, open- access remote sensing derived data can provide useful information about the status of water resources especially when ground measurements are poor or absent.</p><p> </p><p>Keywords: Yarmouk, Water Accounting Plus, IWM, Irrigated crops, WAPOR.</p>

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