Selection and Evaluation of Maritime Universities’ Discipline Construction Model

2012 ◽  
Vol 256-259 ◽  
pp. 3008-3015
Author(s):  
Hong Li Sun ◽  
Yun Long Ding
Keyword(s):  
Large Scale ◽  
Scientific Research ◽  
Reference Value ◽  
Development Model ◽  
Suitable Model ◽  
Research Model ◽  
Interval Numbers ◽  
Lattice Order ◽  
Advantages And Disadvantages ◽  
Construction Model

Discipline construction is the foundation of school operation and the key link of a university’s development. Generally speaking, discipline construction of maritime universities can be concluded to four models: vocational education model, mutual development of practice and scientific research model, derivative discipline development model and large-scale integrated development model. Through the comprehensive assessment of the four models by the use of lattice order decision-making method with interval numbers, the advantages and disadvantages of each model are clearly shown. Taking the economic and social factors into consideration, we can see that mutual development of practice and scientific research model is the most suitable model for maritime universities’ discipline construction in China, which provides important reference value and contributes to the development of our discipline construction.

scholarly journals PENGEMBANGAN KAMUS ARAB-INDONESIA SEBAGAI PENUNJANG PENGGUNAAN BUKU AJAR MADRASAH TSANAWIYAH DI KELAS VIII

2019 ◽  
Vol 3 (2) ◽  
pp. 211-230
Author(s):  
Nurul Huda ◽  
Nabilah Ulfah
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Arabic Language ◽  
Language Teachers ◽  
Student Response ◽  
Development Model ◽  
Small Scale ◽  
Research Model ◽  
8Th Grade ◽  
Grade 8

This study aims to produce a product in the form of an Arabic-Indonesian dictionary for 8th grade MTs to support the use of textbooks. Equipped with fi'il madhi, fi'il mudhari ’, and mashdar information for verbs in the form of verbs and for nouns equipped with singular and plural forms. The research model used is the Research and Development model. Methods of data collection in the form of non-tests using research instruments in the form of validation sheets, assessment sheets, and teacher and student response sheets on small scale trials and large scale trials. The results of this study are (1) have successfully developed Arabic-Indonesian dictionary products for grade 8 MTs, (2) based on the assessment of experts consisting of material experts, media experts and Arabic language teachers, this dictionary has very good quality (SB) , (3) based on a small-scale trial the students 'response to the product being developed was agreed (S) and on the large-scale trial the students' response to the Arabic-Indonesian dictionary for grade 8 MTs was strongly agreed (SS).

Analysis and design of suitable model structures for activated sludge tanks with circulating flow

1999 ◽  
Vol 39 (4) ◽  
pp. 55-60 ◽  
Author(s):  
J. Alex ◽  
R. Tschepetzki ◽  
U. Jumar ◽  
F. Obenaus ◽  
K.-H. Rosenwinkel
Keyword(s):  
Activated Sludge ◽  
Large Scale ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
High Sensitivity ◽  
Suitable Model ◽  
Model Structure ◽  
Analysis And Design ◽  
Hydraulic Behaviour ◽  
Model Structures

Activated sludge models are widely used for planning and optimisation of wastewater treatment plants and on line applications are under development to support the operation of complex treatment plants. A proper model is crucial for all of these applications. The task of parameter calibration is focused in several papers and applications. An essential precondition for this task is an appropriately defined model structure, which is often given much less attention. Different model structures for a large scale treatment plant with circulation flow are discussed in this paper. A more systematic method to derive a suitable model structure is applied to this case. Results of a numerical hydraulic model are used for this purpose. The importance of these efforts are proven by a high sensitivity of the simulation results with respect to the selection of the model structure and the hydraulic conditions. Finally it is shown, that model calibration was possible only by adjusting to the hydraulic behaviour and without any changes of biological parameters.

Implantable neural interfaces

2018 ◽  
Author(s):  
Stefano Vassanelli
Keyword(s):  
Brain Function ◽  
Large Scale ◽  
Ionic Channels ◽  
Patch Clamp Technique ◽  
Advantages And Disadvantages ◽  
Optogenetic Stimulation ◽  
Physical Interfaces ◽  
The Brain

Establishing direct communication with the brain through physical interfaces is a fundamental strategy to investigate brain function. Starting with the patch-clamp technique in the seventies, neuroscience has moved from detailed characterization of ionic channels to the analysis of single neurons and, more recently, microcircuits in brain neuronal networks. Development of new biohybrid probes with electrodes for recording and stimulating neurons in the living animal is a natural consequence of this trend. The recent introduction of optogenetic stimulation and advanced high-resolution large-scale electrical recording approaches demonstrates this need. Brain implants for real-time neurophysiology are also opening new avenues for neuroprosthetics to restore brain function after injury or in neurological disorders. This chapter provides an overview on existing and emergent neurophysiology technologies with particular focus on those intended to interface neuronal microcircuits in vivo. Chemical, electrical, and optogenetic-based interfaces are presented, with an analysis of advantages and disadvantages of the different technical approaches.

scholarly journals Why ability point estimates can be pointless: a primer on using skill measures from large-scale assessments in secondary analyses

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Clemens M. Lechner ◽  
Nivedita Bhaktha ◽  
Katharina Groskurth ◽  
Matthias Bluemke
Keyword(s):  
Measurement Error ◽  
Statistical Models ◽  
Test Scores ◽  
Large Scale ◽  
Equation Modeling ◽  
Model Parameters ◽  
Advantages And Disadvantages ◽  
Point Estimates ◽  
Secondary Analyses ◽  
Large Scale Assessments

AbstractMeasures of cognitive or socio-emotional skills from large-scale assessments surveys (LSAS) are often based on advanced statistical models and scoring techniques unfamiliar to applied researchers. Consequently, applied researchers working with data from LSAS may be uncertain about the assumptions and computational details of these statistical models and scoring techniques and about how to best incorporate the resulting skill measures in secondary analyses. The present paper is intended as a primer for applied researchers. After a brief introduction to the key properties of skill assessments, we give an overview over the three principal methods with which secondary analysts can incorporate skill measures from LSAS in their analyses: (1) as test scores (i.e., point estimates of individual ability), (2) through structural equation modeling (SEM), and (3) in the form of plausible values (PVs). We discuss the advantages and disadvantages of each method based on three criteria: fallibility (i.e., control for measurement error and unbiasedness), usability (i.e., ease of use in secondary analyses), and immutability (i.e., consistency of test scores, PVs, or measurement model parameters across different analyses and analysts). We show that although none of the methods are optimal under all criteria, methods that result in a single point estimate of each respondent’s ability (i.e., all types of “test scores”) are rarely optimal for research purposes. Instead, approaches that avoid or correct for measurement error—especially PV methodology—stand out as the method of choice. We conclude with practical recommendations for secondary analysts and data-producing organizations.

scholarly journals SARS-CoV-2 vaccines strategies: a comprehensive review of phase 3 candidates

npj Vaccines ◽  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Nikolaos C. Kyriakidis ◽  
Andrés López-Cortés ◽  
Eduardo Vásconez González ◽  
Alejandra Barreto Grimaldos ◽  
Esteban Ortiz Prado
Keyword(s):  
Neutralizing Antibodies ◽  
Large Scale ◽  
Vaccine Development ◽  
Rna Virus ◽  
Protein S ◽  
Effective Vaccine ◽  
Phase 3 ◽  
Vaccine Candidates ◽  
Advantages And Disadvantages ◽  
The World

AbstractThe new SARS-CoV-2 virus is an RNA virus that belongs to the Coronaviridae family and causes COVID-19 disease. The newly sequenced virus appears to originate in China and rapidly spread throughout the world, becoming a pandemic that, until January 5th, 2021, has caused more than 1,866,000 deaths. Hence, laboratories worldwide are developing an effective vaccine against this disease, which will be essential to reduce morbidity and mortality. Currently, there more than 64 vaccine candidates, most of them aiming to induce neutralizing antibodies against the spike protein (S). These antibodies will prevent uptake through the human ACE-2 receptor, thereby limiting viral entrance. Different vaccine platforms are being used for vaccine development, each one presenting several advantages and disadvantages. Thus far, thirteen vaccine candidates are being tested in Phase 3 clinical trials; therefore, it is closer to receiving approval or authorization for large-scale immunizations.

The Researches on the Green Construction Model of the Steel Building System of Residence Project

2011 ◽  
Vol 52-54 ◽  
pp. 773-776
Author(s):  
Wei Chen ◽  
Li Jie Duan ◽  
Yu Chun Cai
Keyword(s):  
Construction Industry ◽  
Manufacturing Industry ◽  
Steel Structure ◽  
Suitable Model ◽  
Green Construction ◽  
Steel Building ◽  
Project Construction ◽  
Building System ◽  
Construction Model ◽  
Different Levels

The steel building system of residence project has more advantage in environment protection and project management than the traditional residence project construction. The main steel structure residence components can be manufactured in the green construction base as the manufacturing industry. The key issue to realize the green construction model of steel building system of residence project is to apply with a suitable model of green construction base. This paper introduced four types of green construction base which are different levels related with project, enterprise, industry and region to combine construction industry with manufacturing. The TOPSIS method was applied to evaluate and analyze to figure out the optimization model of green construction base in steel building system of residence project.

scholarly journals Large-Scale Linear RankSVM

2014 ◽  
Vol 26 (4) ◽  
pp. 781-817 ◽  
Author(s):  
Ching-Pei Lee ◽  
Chih-Jen Lin
Keyword(s):  
Decision Trees ◽  
Computational Efficiency ◽  
Efficient Algorithm ◽  
Large Scale ◽  
Learning To Rank ◽  
Gradient Boosting ◽  
Baseline Model ◽  
Nonlinear Methods ◽  
Advantages And Disadvantages ◽  
Linear Ranksvm

Linear rankSVM is one of the widely used methods for learning to rank. Although its performance may be inferior to nonlinear methods such as kernel rankSVM and gradient boosting decision trees, linear rankSVM is useful to quickly produce a baseline model. Furthermore, following its recent development for classification, linear rankSVM may give competitive performance for large and sparse data. A great deal of works have studied linear rankSVM. The focus is on the computational efficiency when the number of preference pairs is large. In this letter, we systematically study existing works, discuss their advantages and disadvantages, and propose an efficient algorithm. We discuss different implementation issues and extensions with detailed experiments. Finally, we develop a robust linear rankSVM tool for public use.

ON INTERACTION OF MATERIAL AND PROCEDURAL LAW IN THE CONTEXT OF REFORMING THE NOMENCLATURE OF SCIENTIFIC SPECIALTIES IN JURISPRUDENCE

2021 ◽  
Vol 3 (3) ◽  
pp. 214-231
Author(s):  
S.I. Suslova
Keyword(s):  
Civil Law ◽  
Scientific Research ◽  
Civil Procedure ◽  
Dialectical Logic ◽  
Advantages And Disadvantages ◽  
Procedural Law ◽  
Depth Study ◽  
Civil Science ◽  
Substantive Law ◽  
The Relationship

Introduction: the influence of the material branches of law on the content and development of procedural branches has long been substantiated in the legal literature. At the same time, civil law scholars, limited by the scope of the nomenclature of scientific specialties in legal sciences, do not have the opportunity to conduct dissertation research aimed at identifying the influence of procedural branches on the norms of substantive law. With regard to scientific research, the study of such an impact is currently permissible only within the specialty 12.00.15. Reforming the nomenclature of scientific specialties towards its enlargement creates the basis for the development of the scientific theory of intersectoral relations, developed by M.Iu. Chelyshev. An in-depth study of the intersectoral interaction of civil law and civil procedure will contribute not only to the development of scientific knowledge, but also will allow solving practical problems at a different methodological level. Purpose: to analyze the stages of the formation of scientific specialties in the context of the relationship between civil law and procedure, to identify the advantages and disadvantages of uniting and dividing civil law and procedure in scientific research, to analyze dissertations in different periods of development of the science of civil law and the science of civil procedure, to formulate ways to improve directions of research to bridge the gap between the science of civil law and procedure. Methods: empirical methods of description, interpretation; theoretical methods of formal and dialectical logic. The legal-dogmatic private scientific method was used. Results: identified the main views on the ratio of material and procedural branches in legal science; it is illustrated that the intersectoral approach is currently admissible only for dissertations in the specialty 12.00.15, which led to an almost complete absence of scientific research on this topic in civil science; substantiated the need to establish the bilateral nature of the relationship and interaction of material and procedural block. Conclusions: reforming the nomenclature of scientific specialties by right in the direction of their enlargement should have a positive effect on bridging the gap that has developed between works on civil law and civil law procedure in the last years of their separate existence. This is especially true of civil science, which developed its own scientific theories in isolation from the possibilities of their implementation within the framework of procedural law. The methodological basis for solving these problems has already been formed – this is an intersectoral method, the application of which is justified and demonstrated in the works of M.Iu. Chelyshev.

Machine-Learning for the Prediction of Lost Circulation Events - Time Series Analysis and Model Evaluation

2021 ◽  
Author(s):  
Arturo Magana-Mora ◽  
Mohammad AlJubran ◽  
Jothibasu Ramasamy ◽  
Mohammed AlBassam ◽  
Chinthaka Gooneratne ◽  
...  
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Real Time ◽  
Large Scale ◽  
Model Comparison ◽  
Drilling Fluid ◽  
Sensor Data ◽  
False Alarms ◽  
Suitable Model ◽  
Lost Circulation

Abstract Objective/Scope. Lost circulation events (LCEs) are among the top causes for drilling nonproductive time (NPT). The presence of natural fractures and vugular formations causes loss of drilling fluid circulation. Drilling depleted zones with incorrect mud weights can also lead to drilling induced losses. LCEs can also develop into additional drilling hazards, such as stuck pipe incidents, kicks, and blowouts. An LCE is traditionally diagnosed only when there is a reduction in mud volume in mud pits in the case of moderate losses or reduction of mud column in the annulus in total losses. Using machine learning (ML) for predicting the presence of a loss zone and the estimation of fracture parameters ahead is very beneficial as it can immediately alert the drilling crew in order for them to take the required actions to mitigate or cure LCEs. Methods, Procedures, Process. Although different computational methods have been proposed for the prediction of LCEs, there is a need to further improve the models and reduce the number of false alarms. Robust and generalizable ML models require a sufficiently large amount of data that captures the different parameters and scenarios representing an LCE. For this, we derived a framework that automatically searches through historical data, locates LCEs, and extracts the surface drilling and rheology parameters surrounding such events. Results, Observations, and Conclusions. We derived different ML models utilizing various algorithms and evaluated them using the data-split technique at the level of wells to find the most suitable model for the prediction of an LCE. From the model comparison, random forest classifier achieved the best results and successfully predicted LCEs before they occurred. The developed LCE model is designed to be implemented in the real-time drilling portal as an aid to the drilling engineers and the rig crew to minimize or avoid NPT. Novel/Additive Information. The main contribution of this study is the analysis of real-time surface drilling parameters and sensor data to predict an LCE from a statistically representative number of wells. The large-scale analysis of several wells that appropriately describe the different conditions before an LCE is critical for avoiding model undertraining or lack of model generalization. Finally, we formulated the prediction of LCEs as a time-series problem and considered parameter trends to accurately determine the early signs of LCEs.

Overview on the Liquid Metal Battery for Grid-Level Large-Scale Energy Storage

2016 ◽  
Vol 723 ◽  
pp. 572-578
Author(s):  
Li Fu ◽  
Qi Chi Le ◽  
Xi Bo Wang ◽  
Xuan Liu ◽  
Wei Tao Jia
Keyword(s):  
Energy Storage ◽  
Liquid Metal ◽  
Large Scale ◽  
Low Cost ◽  
Advantages And Disadvantages ◽  
Comprehensive Comparison ◽  
Development And Utilization ◽  
Working Principle ◽  
Liquid Metal Battery ◽  
Grid Level

In recent years, the development and utilization of renewable generation have attracted more and more attention, and the grid puts forward higher requirements to the energy storage technology, especially for security, stability and reliability. The liquid metal battery (LMB) consists of two liquid metal electrodes and a molten salt electrolyte, which will be segregated into three liquid layers naturally. Being low-cost and long-life, it is regarded as the best choice for grid-level large-scale energy storage. This paper describes the main structure and working principle of the LMB, analyzes the advantages and disadvantages of the LMB when compared with the traditional batteries, and explores the feasibility and economy when it is used as a kind of large-scale energy storage applied in the power grid. The paper also makes a comprehensive comparison on the performance of several LMBs, and points out the LMB’s research and development in the future.

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