scholarly journals Analysis of the Emails From the Dutch Web-Based Intervention “Alcohol de Baas”: Assessment of Early Indications of Drop-Out in an Online Alcohol Abuse Intervention

2021 ◽  
Vol 12 ◽  
Author(s):  
Wouter A. C. Smink ◽  
Anneke M. Sools ◽  
Marloes G. Postel ◽  
Erik Tjong Kim Sang ◽  
Auke Elfrink ◽  
...  
Keyword(s):  
Change Process ◽  
Drop Out ◽  
Complex Task ◽  
Web Based ◽  
Online Interactions ◽  
Multidimensional Construct ◽  
Psychotherapeutic Interventions ◽  
Psychotherapeutic Change ◽  
Insight Into ◽  
Machine Learning Models

Nowadays, traditional forms of psychotherapy are increasingly complemented by online interactions between client and counselor. In (some) web-based psychotherapeutic interventions, meetings are exclusively online through asynchronous messages. As the active ingredients of therapy are included in the exchange of several emails, this verbal exchange contains a wealth of information about the psychotherapeutic change process. Unfortunately, drop-out-related issues are exacerbated online. We employed several machine learning models to find (early) signs of drop-out in the email data from the “Alcohol de Baas” intervention by Tactus. Our analyses indicate that the email texts contain information about drop-out, but as drop-out is a multidimensional construct, it remains a complex task to accurately predict who will drop out. Nevertheless, by taking this approach, we present insight into the possibilities of working with email data and present some preliminary findings (which stress the importance of a good working alliance between client and counselor, distinguish between formal and informal language, and highlight the importance of Tactus' internet forum).

PubChem and ChEMBL Beyond Lipinski

2019 ◽  
Author(s):  
Jean-Louis Reymond ◽  
Mahendra Awale ◽  
Daniel Probst ◽  
Alice Capecchi
Keyword(s):  
Nearest Neighbor ◽  
Molecular Shape ◽  
Biological Properties ◽  
Web Based ◽  
Large Molecules ◽  
Interactive Tools ◽  
Small Molecule Drugs ◽  
Pubchem Database ◽  
Nearest Neighbor Searches ◽  
Insight Into

<p>Seven million of the currently 94 million entries in the PubChem database break at least one of the four Lipinski constraints for oral bioavailability, 183,185 of which are also found in the ChEMBL database. These non-Lipinski PubChem (NLP) and ChEMBL (NLC) subsets are interesting because they contain new modalities that can display biological properties not accessible to small molecule drugs. Unfortunately, the current search tools in PubChem and ChEMBL are designed for small molecules and are not well suited to explore these subsets, which therefore remain poorly appreciated. Herein we report MXFP (macromolecule extended atom-pair fingerprint), a 217-D fingerprint tailored to analyze large molecules in terms of molecular shape and pharmacophores. We implement MXFP in two web-based applications, the first one to visualize NLP and NLC interactively using Faerun (http://faerun.gdb.tools/), the second one to perform MXFP nearest neighbor searches in NLP (http://similaritysearch.gdb.tools/). We show that these tools provide a meaningful insight into the diversity of large molecules in NLP and NLC. The interactive tools presented here are publicly available at http://gdb.unibe.ch and can be used freely to explore and better understand the diversity of non-Lipinski molecules in PubChem and ChEMBL.</p>

MetLigDB: a web-based database for the identification of chemical groups to design metalloprotein inhibitors

2011 ◽  
Vol 44 (4) ◽  
pp. 878-881 ◽  
Author(s):  
Hwanho Choi ◽  
Hongsuk Kang ◽  
Hwangseo Park
Keyword(s):  
Drug Discovery ◽  
Metal Ions ◽  
Metal Ion ◽  
Central Metal ◽  
Amino Acid Residues ◽  
Web Based ◽  
Additional Information ◽  
Chemical Groups ◽  
Insight Into ◽  
Chelating Groups

MetLigDB (http://silver.sejong.ac.kr/MetLigDB) is a publicly accessible web-based database through which the interactions between a variety of chelating groups and various central metal ions in the active site of metalloproteins can be explored in detail. Additional information can also be retrieved, including protein and inhibitor names, the amino acid residues coordinated to the central metal ion, and the binding affinity of the inhibitor for the target metalloprotein. Although many metalloproteins have been considered promising targets for drug discovery, it is difficult to discover new inhibitors because of the difficulty in designing a suitable chelating moiety to impair the catalytic activity of the central metal ion. Because both common and specific chelating groups can be identified for varying metal ions and the associated coordination environments, MetLigDB is expected to give users insight into designing new inhibitors of metalloproteins for drug discovery.

Insight into interface design of web-based case-based reasoning retrieval systems

2009 ◽  
Vol 36 (3) ◽  
pp. 7280-7287 ◽  
Author(s):  
Wu He ◽  
Feng-Kwei Wang ◽  
Tawnya Means ◽  
Li Da Xu
Keyword(s):  
Interface Design ◽  
Case Based Reasoning ◽  
Web Based ◽  
Retrieval Systems ◽  
Insight Into ◽  
Case Based

Measuring the Conceptual Variables for E-Services Acceptance

2013 ◽  
pp. 302-309
Author(s):  
Kamaljeet Sandhu
Keyword(s):  
User Experience ◽  
Service System ◽  
Descriptive Data ◽  
Web Based ◽  
Electronic Service ◽  
Insight Into ◽  
The Web ◽  
Service Framework

This case study examines the Web Electronic Service framework for a University in Australia. The department is in the process of developing and implementing a Web-based e-service system. The user experience to use e-services requires insight into the attributes that shape the experience variable. The descriptive data about the attributes that form the experience variable is provided in this study.

Web-Based Instructions

2010 ◽  
pp. 302-326
Author(s):  
Mohammed Saleh Al Balawi
Keyword(s):  
Higher Education ◽  
Faculty Attitudes ◽  
Faculty Members ◽  
Current Status ◽  
Critical Factors ◽  
Web Based ◽  
Factors Affecting ◽  
Higher Education System ◽  
Based Instruction ◽  
Insight Into

Factors affecting faculty decisions in the conventional university setup in Saudi Arabia for participating or not participating sin Web-based instruction (WBI) were investigated in this study. Incentives and barriers to WBI, faculty attitudes, and participants’ demographic information were also explored. The study was aimed to investigate the attitudes of the faculty members at three Saudi universities toward WBI in an effort to describe the current status of WBI in the Saudi higher education system. In addition, results of the study could also provide the Saudi universities and the faculty with insight into factors affecting adoption of WBI. Finally, since there have been few implementations of WBI across the country, it was important to explore how WBI is currently used in Saudi universities and to determine critical factors that could affect the implementation of WBI.

A Study of Perceptions, Usability and Future Adoption of a Web-based Learning Tool

2014 ◽  
Vol 5 (3) ◽  
pp. 69-90
Author(s):  
Romina L. Bot ◽  
Maria del Rosario Uribe ◽  
Alejandra J. Magana ◽  
Thomas Mustillo ◽  
John A. Springer
Keyword(s):  
Technology Acceptance ◽  
Perceived Usefulness ◽  
Learning Tool ◽  
Web Based ◽  
Intention To Adopt ◽  
Qualitative Approaches ◽  
Actual Use ◽  
Political Science Education ◽  
Innovation Attributes ◽  
Insight Into

Studies of technology acceptance suggest that individuals' perceptions of usage might be antecedents to predict their adoption. This research study explored students' and professors' perceptions regarding a web-based tool for political science education; the ultimate goal was to identify students and professors' perceived usefulness and usability and thus their intention to adopt the solution as a learning tool. Forty participants answered a survey questionnaire, and quantitative and qualitative approaches were followed to uncover the relationships between usability principles, innovation attributes, and perceptions of usage. The results of the study provide new insight into the factors that may contribute to the acceptance of the learning tool, and ultimately to its actual use.

RETRA

2013 ◽  
Vol 4 (3) ◽  
pp. 80-93
Author(s):  
Venkata S. Inampudi ◽  
Russell Kondaveti ◽  
Aura Ganz
Keyword(s):  
Real Time ◽  
Optimal Solution ◽  
Initial Response ◽  
Geographical Proximity ◽  
Complex Task ◽  
Web Based ◽  
Resource Managers ◽  
Optimal Deployment ◽  
Resource Deployment ◽  
Emergency Resource

In this paper, the authors introduce a real time web based tool for resource allocation (RETRA) that can assist the incident commanders and resource managers in the complex task of emergency resource deployment for multiple simultaneous incidents that occur in close geographical proximity. RETRA real time inputs include the location of the emergency sites and the required resources with associated priorities. It generates an optimal deployment plan so that emergency sites with highest priorities for a resource are assigned that resource in the least amount of time. The optimal solution is presented graphically using Google Maps. RETRA can be used for emergency resource deployment at the initial response stage of a disaster. 1

scholarly journals Learning to Identify At-Risk Students in Distance Education Using Interaction Counts

2016 ◽  
Vol 23 (2) ◽  
pp. 124 ◽  
Author(s):  
Douglas Detoni ◽  
Cristian Cechinel ◽  
Ricardo Araujo Matsumura ◽  
Daniela Francisco Brauner
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
At Risk Students ◽  
Drop Out ◽  
Support Vector ◽  
Learning Models ◽  
Data Set ◽  
Student Dropout ◽  
Vector Machines ◽  
Machine Learning Models

Student dropout is one of the main problems faced by distance learning courses. One of the major challenges for researchers is to develop methods to predict the behavior of students so that teachers and tutors are able to identify at-risk students as early as possible and provide assistance before they drop out or fail in their courses. Machine Learning models have been used to predict or classify students in these settings. However, while these models have shown promising results in several settings, they usually attain these results using attributes that are not immediately transferable to other courses or platforms. In this paper, we provide a methodology to classify students using only interaction counts from each student. We evaluate this methodology on a data set from two majors based on the Moodle platform. We run experiments consisting of training and evaluating three machine learning models (Support Vector Machines, Naive Bayes and Adaboost decision trees) under different scenarios. We provide evidences that patterns from interaction counts can provide useful information for classifying at-risk students. This classification allows the customization of the activities presented to at-risk students (automatically or through tutors) as an attempt to avoid students drop out.

Meditation and Psychotherapy*

1989 ◽  
Vol 34 (7) ◽  
pp. 648-653 ◽  
Author(s):  
John L. Craven
Keyword(s):  
Psychotherapeutic Interventions ◽  
Psychotherapeutic Change ◽  
Meditative Practice ◽  
Meaningful Research ◽  
Technical Integration

Meditation has been increasingly recommended as a practice with potential psychotherapeutic benefit. This paper provides a description of meditative practice and discusses selected issues related to the conceptual and technical integration of meditation with modern psychotherapeutic interventions. Evidence suggests that meditation may contribute to psychotherapeutic change and that the disciplines from which meditation arises are in some respects similar to modern psychological formulations, and in other respects are complimentary. It is hoped that improved understanding of meditation will contribute to an increased acceptance and use of these practices as aids to psychotherapeutic change and will facilitate meaningful research regarding meditation.

Undergraduate Geography Students Define Aesthetic Maps

2012 ◽  
pp. 89-92
Author(s):  
Sven Fuhrmann
Keyword(s):  
Paradigm Shift ◽  
Spatial Representations ◽  
Web Based ◽  
Short Questionnaire ◽  
Insight Into

Several aesthetic map definition approaches aim to describe the components, concepts and aspects of aesthetic maps. While the discussion is mostly conducted by mapping professionals and researchers, one may wonder how naïve map users would define an aesthetic map. Thirty-four undergraduate geography students answered a short questionnaire in which they defined an aesthetic map, and identified the most aesthetic map along with the reasons why they liked that particular map. Preliminary findings indicate that two important concepts for aesthetic maps are clarity and being visually pleasing/attractive. Favorite aesthetic maps ranged widely from reference to thematic to imaginary maps. Questionnaire results also indicate the emerging importance of and possible aesthetic paradigm shift towards mobile and other interactive, web-based spatial representations. Naïve aesthetic map definitions could provide an important insight into current and future aesthetic map trends.

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