Role of Accelerated Learning Technique in Achieving the Minimum Mastery Standard of Accounting Subject

Foreign languages in demand as a means of intercultural dialogue, it is a social order of our modern society. But the language is not only a means of communication of modern people, this is a means of "dialogue" between the generations, a means of preserving the accumulated spiritual wealth of the people who speak this language. To understand the present and build the future, we sometimes need to look back into the past, including the past of the language. For accelerated learning a foreign language often helps to explain of linguistic phenomena and historical processes that took place in a particular language or a particular group of related languages. In the article the object of the analysis is almost forgotten Mozarabic language on the territory of the Iberian Peninsula. Mozarabic - is an Ibero-Romance language, which was once widespread in the conquered by Arabs part of the Iberian Peninsula. Language had been at the stage of development, therefore it has undergone strong phonetic changes.The article considers the influence of the Portuguese, Galician, Catalan languages on the Mozarabic language and vice versa, of the Mozarabic language on the Galician language, León, Asturias, Murskii and other dialects. The 3 stages of historical evolution of Mozarabic people are described: 1) fight Mozarabic people for independence; 2) the period of oppression; 3) the period of emigration. Examples of similar names of settlements in different parts of the peninsula, as well as plants are shown.The analysis of the phonetic form Mozarabic language has carried out: diphthongs and consonants saving in Castilian language. Mozarabic language has played an important role in the dialectical development of the peninsula, as a link between the Roman, Arab and Spanish cultures. The author highlights the role of Mozarabic language in the development of Castilian language and its formation as a state.

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Influence of Room Condition on Participants in Simulation and Gaming Activities: Analyses of Debriefing Forms

Simulation & Gaming ◽

10.1177/1046878119873029 ◽

2019 ◽

Vol 50 (5) ◽

pp. 645-661 ◽

Cited By ~ 1

Author(s):

M. Nakamura

Keyword(s):

Active Learning ◽

Traditional Lecture ◽

Powerful Effect ◽

Lecture Room ◽

Room Condition ◽

Study Results ◽

Question Order ◽

Learning Technique ◽

Degree Of Satisfaction

Background. Increasing attention has been paid to simulation and gaming (S&G) as an active learning technique within Japanese universities; however, the more that active learning sessions are conducted, the fewer rooms there are available for these activities. This shortage sometimes results in having to conduct S&G in a traditional lecture room; as such, this study explores the influence of room condition on participants. Intervention. During each gaming session, the author played the role of facilitator and made herself as invisible as possible. In the debriefing sessions, the author delivered a lecture and organized the debriefing in the role of a teacher. Aims and Methods. The two research aims were as follows: first, to understand the influence of room conditions on participants; and second, to understand the influence of content and question order in debriefing forms on participants. Data collected from debriefing forms regarding two gaming sessions were analyzed. Results. The degree of satisfaction in HACONORI and the degree of usefulness in BLOCK WORK were influenced by room condition. This study found that debriefing forms influenced participants less than room condition. Discussion. These study results reflect the powerful effect of room condition, which varies due to individual game attributes. The effect of debriefing forms was found to be less potent than the effect of room condition, although the order of questions should be taken into consideration. Suggestions and Limitations. A large room with movable desks and movable chairs is recommended for S&G. Conclusion. The factor of room condition had a powerful effect on the degree of satisfaction for HACONORI and the degree of usefulness for BLOCK WORK. The factor of debriefing forms was less potent than the factor of room condition; as such, S&G facilitators should be sensitive to room conditions.

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Hypertension Prediction Using Machine Learning Technique

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2020070103 ◽

2020 ◽

Vol 11 (3) ◽

pp. 52-62

Author(s):

Youngkeun Choi ◽

Jae Choi

Keyword(s):

Machine Learning ◽

Predictive Performance ◽

Learning Technology ◽

Full Model ◽

Accuracy Rate ◽

Medical Problems ◽

Machine Learning Technique ◽

Learning Technique ◽

Average Glucose

Machine learning technology is used in advanced data analysis and optimization approaches for different kinds of medical problems. Hypertension is complicated, and every year it causes a lot of many severe illnesses such as stroke and heart disease. This study essentially had two primary goals. Firstly, this paper intends to understand the role of variables in hypertension modeling better. Secondly, the study seeks to evaluate the predictive performance of the decision trees. Based on these results, first, age, BMI, and average glucose level influence hypertension significantly, while other variables have an influence. Second, for the full model, the accuracy rate is 0.905, which implies that the error rate is 0.095. Among the patients who were predicted not to have hypertension, the accuracy that would not have hypertension was 90.51%, and the accuracy that had strike was 30.77% among the patients who were predicted to have hypertension.

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The Swot Model and the Role of These Activities to the Training of the Future Specialists in Expertise and Quality Control of Milk and Dairy Products

Management of Sustainable Development ◽

10.2478/msd-2014-0004 ◽

2014 ◽

Vol 6 (1) ◽

pp. 31-34

Author(s):

Tiţa Mihaela ◽

Oprean Letitia ◽

Lengyel Ecaterina ◽

Tita Ovidiu

Keyword(s):

Control Systems ◽

Dairy Products ◽

Swot Analysis ◽

Processing Technologies ◽

Learning Technique ◽

Quality Of Milk ◽

Teaching Learning ◽

Milk And Dairy Products

Abstract The present drafts regarding the quality of milk and dairy products, define it as a controlled act of creation with known accuracy that can be reached by applying constitutive control systems of the processing technologies that are present in all proceeding phases of the product. In order to achieve the purpose and to apply it in the production process by students – future specialist, we use as a teaching-learning technique the SWOT Analyze. The SWOT analysis is an efficient method that is used in the teaching technique, especially when planning the strategy in order to identify the potentials and the priorities.

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Chameleon microRNAs in breast cancer: their elusive role as regulatory factors in cancer progression

10.1101/2020.12.15.422846 ◽

2020 ◽

Author(s):

Cesare Miglioli ◽

Gaetan Bakalli ◽

Samuel Orso ◽

Mucyo Karemera ◽

Roberto Molinari ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Progression ◽

Breast Tissue ◽

Biological Action ◽

Normal Breast ◽

Single Model ◽

Machine Learning Technique ◽

Micro Rnas ◽

Learning Technique

Breast cancer is one of the most frequent cancers affecting women. Non-coding micro RNAs (miRNAs) seem to play an important role in the regulation of pathways involved in tumor occurrence and progression. Extending on the research in Haakensen et al. , where significant miRNAs were selected as being associated with the progression from normal breast tissue to breast cancer, in this work we put forward 112 sets of miRNA combinations, each including at most 5 expressions with high accuracy in discriminating healthy breast tissue from breast carcinoma. Our results are based on a recently developed machine learning technique which, instead of selecting a single model (or combination of features), delivers a set of models with equivalent predictive capabilities that allow to interpret and visualize the interaction of these features. These results shed new light on the biological action of the selected miRNAs which can behave in different ways according to the miRNA network with which they interact. Indeed, these revealed connections may contribute to explain why, in some cases, different studies attribute opposite functions to the same miRNA. It is therefore possible to understand how the role of a genomic variable may change when considered in interaction with other sets of variables, as opposed to only considering its effect when it is evaluated within a unique combination of features. The approach proposed in this work provides a statistical basis for the notion of chameleon miRNAs and is inspired by the emerging field of systems biology.

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The role of the university in accelerated learning and innovation as a regional ecosystem integrator

Journal of Research in Innovative Teaching & Learning ◽

10.1108/jrit-10-2016-0009 ◽

2017 ◽

Vol 10 (1) ◽

pp. 34-47 ◽

Cited By ~ 3

Author(s):

Kevin Celuch ◽

Bryan Bourdeau ◽

Mohammed Khayum ◽

Leslie Townsend

Keyword(s):

Higher Education ◽

Educational Program ◽

Design Methodology ◽

Accelerated Learning ◽

Dynamic Force ◽

Content Type ◽

Paired Sample ◽

Post Test ◽

The University

Purpose The purpose of this paper is to present an adaptation of a program that is at the intersection of two dynamic force fields. The first relates to imperatives impinging upon and inherent in higher education. The second ties to the concept of ecosystems as spaces for aligning actors and resources to create value. Design/methodology/approach Tables I-III present pre-test and post-test means and p-values for the paired sample t-tests for the measures. Findings As expected, post-test means are consistently significantly higher (or lower depending on item wording) for a shift in beliefs away from self-censoring and prejudging ideas during ideation and more toward greater openness in the ideation process. Originality/value The paper examines the outcome of an educational program.

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Intrusion Detection System using Machine Learning

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2062166 ◽

2020 ◽

pp. 61-71

Author(s):

Jayesh Zala ◽

Aditya Panchal ◽

Advait Thakkar ◽

Bhagirath Prajapati ◽

Priyanka Puvar

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Machine Learning Technique ◽

Software Application ◽

Malicious Activity ◽

The Past ◽

Learning Technique

Intrusion Detection System (IDS) is a tool, or software application, that monitors network or system activity and detects malicious activity occurring. The protected evolution of the network must incorporate new threats and related approaches to avoid these threats. The key role of the IDS is to secure resources against the attacks. Several approaches, methods and algorithms of the intrusion detection help to detect a plethora of attacks. The main objective of this paper is to provide a complete system to detect intruding attacks using the Machine Learning technique which identifies the unknown attacks using the past information gained from the known attacks. The paper explains preprocessing techniques, model comparisons for training as well as testing, and evaluation technique.

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The Importance of Syntactic Parsing and Inference in Semantic Role Labeling

Computational Linguistics ◽

10.1162/coli.2008.34.2.257 ◽

2008 ◽

Vol 34 (2) ◽

pp. 257-287 ◽

Cited By ~ 87

Author(s):

Vasin Punyakanok ◽

Dan Roth ◽

Wen-tau Yih

Keyword(s):

Structural Constraints ◽

Semantic Role ◽

Syntactic Parsing ◽

Semantic Role Labeling ◽

Inference Procedure ◽

Machine Learning Technique ◽

Joint Inference ◽

Learning Technique

We present a general framework for semantic role labeling. The framework combines a machine-learning technique with an integer linear programming-based inference procedure, which incorporates linguistic and structural constraints into a global decision process. Within this framework, we study the role of syntactic parsing information in semantic role labeling. We show that full syntactic parsing information is, by far, most relevant in identifying the argument, especially, in the very first stage—the pruning stage. Surprisingly, the quality of the pruning stage cannot be solely determined based on its recall and precision. Instead, it depends on the characteristics of the output candidates that determine the difficulty of the downstream problems. Motivated by this observation, we propose an effective and simple approach of combining different semantic role labeling systems through joint inference, which significantly improves its performance. Our system has been evaluated in the CoNLL-2005 shared task on semantic role labeling, and achieves the highest F1 score among 19 participants.

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