Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

PDF

2020

Model

Discipline
Institution
Publication
Publication Type

Articles 1 - 14 of 14

Full-Text Articles in Social and Behavioral Sciences

Wicked Ideas For Wicked Problems: Marine Debris And The Complexity Of Governance, Dawn Helene Driesbach Dec 2020

Wicked Ideas For Wicked Problems: Marine Debris And The Complexity Of Governance, Dawn Helene Driesbach

Graduate Program in International Studies Theses & Dissertations

Myriad challenges regarding earth's common spaces, those unregulated by sovereign state authorities, mount and intensify as resources diminish and competition for commercial, scientific and security advantages increases; the pollution and degradation of those spaces simultaneously expands. Threats to the global commons complicate efforts to achieve international consensus which impedes attempts to develop effective governance. As an example, marine debris is a growing problem and is an existential threat to the global commons.

This dissertation aims to characterize marine debris as a wicked problem and explores the complexity of governance in the global ocean commons by answering two fundamental questions. Under …


Dynamical Climatic Model For Time To Flowering In Vigna Radiata, Konstantin Kozlov, Alena Sokolkova, Cheng Ruei Lee, Chau Ti Ting, Roland Schafleitner, Eric Bishop-Von Wettberg, Sergey Nuzhdin, Maria Samsonova Oct 2020

Dynamical Climatic Model For Time To Flowering In Vigna Radiata, Konstantin Kozlov, Alena Sokolkova, Cheng Ruei Lee, Chau Ti Ting, Roland Schafleitner, Eric Bishop-Von Wettberg, Sergey Nuzhdin, Maria Samsonova

College of Agriculture and Life Sciences Faculty Publications

Background: Phenology data collected recently for about 300 accessions of Vigna radiata (mungbean) is an invaluable resource for investigation of impacts of climatic factors on plant development. Results: We developed a new mathematical model that describes the dynamic control of time to flowering by daily values of maximal and minimal temperature, precipitation, day length and solar radiation. We obtained model parameters by adaptation to the available experimental data. The models were validated by cross-validation and used to demonstrate that the phenology of adaptive traits, like flowering time, is strongly predicted not only by local environmental factors but also by plant …


A Task Analytic Model Of Tenderness In Emotion-Focused Therapy For Couples: The Discovery Phase, Corie Mcnally Sep 2020

A Task Analytic Model Of Tenderness In Emotion-Focused Therapy For Couples: The Discovery Phase, Corie Mcnally

Dissertations

The focus in the present study was to develop a refined model of tenderness events in emotion-focused couples therapy. The model was created in the discovery phase of a task analytic research study through a rational-empirical method. The study was designed to combine empirical and rational data on the expression of tenderness and the display of a tenderness expression within the context of therapy. The rational model was derived from a review of the literature on emotions, couples therapy, and tenderness as an emotion. Empirical data were observed and recorded through reviews of videotapes and transcripts obtained during the York …


Model Of Mural Painting In The Inpatient Room Of Fatmawati Hospital, Tri Aru Wiratno May 2020

Model Of Mural Painting In The Inpatient Room Of Fatmawati Hospital, Tri Aru Wiratno

International Review of Humanities Studies

The research model of mural painting in the children's ward of Fatmawati Hospital is interesting not only as a beauty but also the beauty it gives to patients. The model of mural painting as a form of instrumenta art works that aims and serves as the beauty of a child's inpatient room to further provide calm, coolness and peace to the pediatric inpatients. By using Terry Barrett's interpretation research method, the interpretation research method must include the contextualization of substantial creative work. And the development model of Borg and Gall, Dick and Carey. As a method that is integrated as …


The Zakat, Infaq, And Alms Farmer Economic Empowerment Model, Udin Saripudin, Fathurrahman Djamil, Ahmad Rodoni Jan 2020

The Zakat, Infaq, And Alms Farmer Economic Empowerment Model, Udin Saripudin, Fathurrahman Djamil, Ahmad Rodoni

Library Philosophy and Practice (e-journal)

This study departs from the fact that the partial empowerment model of farmers has failed to improve the welfare of farmers. Therefore we need a comprehensive farmer empowerment model that integrates several partial empowerment models using Islamic economic principles. The intended integral empowerment model includes; empowerment in the area of capital access (financial institutions), the field of crop marketing (market access), and the field of capacity building (assistance and training). The purpose of this study is to design a comprehensive model of farmer economic empowerment, which integrates a model of capital assistance (natural capital), assistance, and marketing of agricultural products …


Substansial Basis Of Syhtactic Constructions, Mekhriniso Kadirovna Abuzalova Jan 2020

Substansial Basis Of Syhtactic Constructions, Mekhriniso Kadirovna Abuzalova

Scientific reports of Bukhara State University

In this article the degree of potential unity of a wordform syntactic model (/WF/) in all types of sentences has been defined; it has been proven that the valency potential of /WҒ/ which has been formed as a result of mutual influence of the semantic valency of SSG(semantic-syntactic groups) belonging to /W/ and /Ғ/ garammatic valency can establish the contents of a semantic structure and its status in the sentence.


A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam Jan 2020

A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Historical data offers a wealth of knowledge to the users. However, often restrictively mammoth that the information cannot be fully extracted, synthesized, and analyzed efficiently for an application such as the forecasting of variable generator outputs. Moreover, the accuracy of the prediction method is vital. Therefore, a trade-off between accuracy and efficacy is required for the data-driven energy forecasting method. It has been identified that the hybrid approach may outperform the individual technique in minimizing the error while challenging to synthesize. A hybrid deep learning-based method is proposed for the output prediction of the solar photovoltaic systems (i.e. proposed PV …


Model Predictive Control For A New Magnetic Linked Multilevel Inverter To Integrate Solar Photovoltaic Systems With The Power Grids, A M. Mahfuz-Ur-Rahman, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto Jan 2020

Model Predictive Control For A New Magnetic Linked Multilevel Inverter To Integrate Solar Photovoltaic Systems With The Power Grids, A M. Mahfuz-Ur-Rahman, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto

Faculty of Engineering and Information Sciences - Papers: Part B

The multilevel inverters are becoming increasingly popular for use in the grid integration of wind and photovoltaic (PV) power plants due to their higher voltage handling capability and the better output power quality. There are several types of multilevel inverters that have been proposed in the literature; among them the active neutral point clamp (ANPC) multilevel inverters have been drawing significant attention specially for solving the problems with other multilevel inverters. However, with the increase of number of levels, the ANPC requires more electronic switches and flying capacitors, by which the complexity and the cost increases. In this paper, an …


A Novel Monte Carlo-Based Neural Network Model For Electricity Load Forecasting, Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou Jan 2020

A Novel Monte Carlo-Based Neural Network Model For Electricity Load Forecasting, Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

The ongoing rapid growth of electricity over the past few decades greatly promotes the necessity of accurate electricity load forecasting. However, despite a great number of studies, electricity load forecasting is still an enormous challenge for its complexity. Recently, the developments of machine learning technologies in different research areas have demonstrated its great advantages. General Vector Machine (GVM) is a new machine learning model, which has been proven very effective in time series prediction. In this article, we firstly review the basic concepts and implementation of GVM. Then we apply it in electricity load forecasting, which is based on the …


Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi Jan 2020

Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun Jan 2020

Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun

Faculty of Engineering and Information Sciences - Papers: Part B

Micro learning aims to assist users in making good use of smaller chunks of spare time and provides an effective online learning service. However, to provide such personalized online services on the Web, a number of information overload challenges persist. Effectively and precisely mining and extracting valuable information from massive and redundant information is a significant preprocessing procedure for personalizing online services. In this study, we propose a deep sequence labelling model for locating, extracting, and classifying key information for micro learning services. The proposed model is general and combines the advantages of different types of classical neural network. Early …


Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin Jan 2020

Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin

Faculty of Engineering and Information Sciences - Papers: Part A

As an emerging pedagogy, micro learning aims to make use of people’s fragmented spare time and provide personalized online learning service, for example, by pushing fragmented knowledge to specific learners. In the context of big data, the recommender system is the key factor for realizing the online personalization service, which significantly determines what information will be fmally accessed by the target learners. In the education discipline, due to the pedagogical requirements and the domain characteristics, ranking recommended learning materials is essential for maintaining the outcome of the massive learning scenario. However, many widely used recommendation strategies in other domains showed …


Somatic Symptoms And Binge Eating In Women's Daily Lives, Kelly A. Romano, Kristin E. Heron, Kathryn E. Smith, Ross D. Crosby, Scott G. Engel, Stephen A. Wonderlich, Raina D. Pang, Tyler B. Mason Jan 2020

Somatic Symptoms And Binge Eating In Women's Daily Lives, Kelly A. Romano, Kristin E. Heron, Kathryn E. Smith, Ross D. Crosby, Scott G. Engel, Stephen A. Wonderlich, Raina D. Pang, Tyler B. Mason

Psychology Faculty Publications

Objective

The present study aimed to determine whether the momentary severity of women's somatic symptoms was concurrently and prospectively associated with their engagement in binge eating in naturalistic settings.

Method

Thirty women (Mage = 34.13, SD = 13.92) who had engaged in binge eating at least once over the month prior to study entry completed a 14-day ecological momentary assessment (EMA) protocol. During each of the 14 days, participants received five semi-random surveys via text message that assessed momentary somatic symptom severity (i.e., headaches, stomachaches/pain, chest/heart pain, faintness/dizziness, shortness of breath, fatigue) and disordered eating behaviors. Generalized estimating equations …


The “Step-Child Of Scholarly Investigation”: Preliminary Observations About The Origins Of Academic Jewish Law Scholarship, David Hollander Jan 2020

The “Step-Child Of Scholarly Investigation”: Preliminary Observations About The Origins Of Academic Jewish Law Scholarship, David Hollander

Touro Law Review

No abstract provided.