Analyzing Language in Suicide Notes and Legacy Tokens

Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin
Keyword(s):  
Text Analysis ◽  
Low Cost ◽  
Computer Software ◽  
Student Writing ◽  
Computer Assisted ◽  
Automated Identification ◽  
Completed Suicide ◽  
Suicide Notes ◽  
Self Harm ◽  
Harm To Others

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.

Computer Automated Prediction of Potential Therapeutic and Toxicity Protein Targets of Bioactive Compounds from Chinese Medicinal Plants

2002 ◽  
Vol 30 (01) ◽  
pp. 139-154 ◽  
Author(s):  
Y. Z. Chen ◽  
C. Y. Ung
Keyword(s):  
Chinese Medicine ◽  
Medicinal Plants ◽  
Molecular Mechanism ◽  
Bioactive Compounds ◽  
Low Cost ◽  
Computer Software ◽  
Automated Identification ◽  
Protein Database ◽  
Protein Targets ◽  
Chinese Medicinal Plants

Understanding the molecular mechanism and pharmacology of bioactive compounds from Chinese medicinal plants (CMP) is important in facilitating scientific evaluation of novel therapeutic approaches in traditional Chinese medicine. It is also of significance in new drug development based on the mechanism of Chinese medicine. A key step towards this task is the determination of the therapeutic and toxicity protein targets of CMP compounds. In this work, newly developed computer software INVDOCK is used for automated identification of potential therapeutic and toxicity targets of several bioactive compounds isolated from Chinese medicinal plants. This software searches a protein database to find proteins to which a CMP compound can bind or weakly bind. INVDOCK results on three CMP compounds (allicin, catechin and camptotecin) show that 60% of computer-identified potential therapeutic protein targets and 27% of computer-identified potential toxicity targets have been implicated or confirmed by experiments. This software may potentially be used as a relatively fast-speed and low-cost tool for facilitating the study of molecular mechanism and pharmacology of bioactive compounds from Chinese medicinal plants and natural products from other sources.

Automated Text Analysis

2021 ◽  
pp. 14-16
Author(s):  
Panagis Yannis
Keyword(s):  
Text Analysis ◽  
Research Question ◽  
Computer Software ◽  
Computer Assisted ◽  
Part Of Speech Tagging ◽  
Part Of Speech ◽  
Automated Text Analysis ◽  
Textual Content ◽  
Speech Tagging ◽  
Processing Steps

This chapter examines automated text analysis (ATA), which describes the different methodologies that can be applied in order to perform text analysis with the use of computer software. ATA is a computer-assisted method for analysing text, whenever the analysis would be prohibitively labour-intensive due to the volume of texts to be analysed. ATA methods have become more popular due to current interest in big data, taking into account the volume of textual content that is made easily accessible by the digitization of human activity. Key to ATA is the notion of corpus, which is a collection of texts. A necessary step before starting any analysis is to collect together the necessary documents and construct the corpora that will be used. Which texts need to be included in this step is dictated by the research question. After text collection, some processing steps need to be taken before the analysis starts, for example tokenization and part-of-speech tagging. Tokenization is the process of splitting a text into its constituent words, also called tokens, whereas part-of-speech tagging assigns each word a label that indicates the respective part-of-speech.

Computer-Assisted High-Re Solution TEM

1990 ◽  
Vol 48 (1) ◽  
pp. 162-163
Author(s):  
F.A. Ponce ◽  
H. Hikashi
Keyword(s):  
Signal To Noise Ratio ◽  
Accurate Determination ◽  
Computer Software ◽  
Video Camera ◽  
Image Contrast ◽  
Objective Lens ◽  
Computer Assisted ◽  
Optical Parameters ◽  
Astigmatism Correction

The determination of the atomic positions from HRTEM micrographs is only possible if the optical parameters are known to a certain accuracy, and reliable through-focus series are available to match the experimental images with calculated images of possible atomic models. The main limitation in interpreting images at the atomic level is the knowledge of the optical parameters such as beam alignment, astigmatism correction and defocus value. Under ordinary conditions, the uncertainty in these values is sufficiently large to prevent the accurate determination of the atomic positions. Therefore, in order to achieve the resolution power of the microscope (under 0.2nm) it is necessary to take extraordinary measures. The use of on line computers has been proposed [e.g.: 2-5] and used with certain amount of success.We have built a system that can perform operations in the range of one frame stored and analyzed per second. A schematic diagram of the system is shown in figure 1. A JEOL 4000EX microscope equipped with an external computer interface is directly linked to a SUN-3 computer. All electrical parameters in the microscope can be changed via this interface by the use of a set of commands. The image is received from a video camera. A commercial image processor improves the signal-to-noise ratio by recursively averaging with a time constant, usually set at 0.25 sec. The computer software is based on a multi-window system and is entirely mouse-driven. All operations can be performed by clicking the mouse on the appropiate windows and buttons. This capability leads to extreme friendliness, ease of operation, and high operator speeds. Image analysis can be done in various ways. Here, we have measured the image contrast and used it to optimize certain parameters. The system is designed to have instant access to: (a) x- and y- alignment coils, (b) x- and y- astigmatism correction coils, and (c) objective lens current. The algorithm is shown in figure 2. Figure 3 shows an example taken from a thin CdTe crystal. The image contrast is displayed for changing objective lens current (defocus value). The display is calibrated in angstroms. Images are stored on the disk and are accessible by clicking the data points in the graph. Some of the frame-store images are displayed in Fig. 4.

COMPUTER-ASSISTED TEXT-ANALYSIS FOR ESL STUDENTS

2013 ◽  
Vol 1 (3) ◽  
pp. 40-43 ◽  
Author(s):  
Joy Reid ◽  
Peggy Lindstrom, ◽  
Maggie McCaffrey ◽  
Doug Larson
Keyword(s):  
Text Analysis ◽  
Computer Assisted ◽  
Esl Students

scholarly journals Chinese views on nuclear weapons: Evidence from an online survey

2021 ◽  
Vol 8 (3) ◽  
pp. 205316802110328
Author(s):  
Naomi Egel ◽  
R. Lincoln Hines
Keyword(s):  
Nuclear Weapons ◽  
Text Analysis ◽  
Online Survey ◽  
Public Attitudes ◽  
Age Groups ◽  
Computer Assisted ◽  
The Public ◽  
Self Defense ◽  
Public Views ◽  
Chinese Public

What are Chinese public attitudes regarding nuclear weapons? Although scholars have studied Chinese elites’ views on nuclear weapons, surprisingly little is known about the views of China’s public. To understand Chinese public views on nuclear weapons, we conduct an online survey ( N = 1066) of Chinese respondents. This is, to our knowledge, the first survey of Chinese public attitudes towards nuclear weapons. We find that although Chinese citizens view the possession of nuclear weapons as important for their country’s security, they strongly oppose the use of nuclear weapons under any circumstances. We also provide respondents an opportunity to describe their views on nuclear weapons in their own words. Using computer-assisted text analysis, we assess patterns in these open-ended responses and compare across age groups. We find that younger respondents emphasize non-material factors such as having a greater voice internationally, whereas older respondents emphasize self-defense. Overall, this analysis sheds light on the public attitudes that may shape China’s evolving approach to nuclear weapons.

A novel adaptable isometric strength analysis and exercise development system design

2021 ◽  
pp. 095441192110155
Author(s):  
Murat Fidan ◽  
Alper Bayrak ◽  
Umid Karli
Keyword(s):  
System Design ◽  
Lower Cost ◽  
Electronic Circuit ◽  
Force Measurement ◽  
Low Cost ◽  
Computer Software ◽  
Isometric Strength ◽  
Strength Analysis ◽  
Strength Measurement ◽  
Development System

In this study, a low-cost and adaptable isometric strength measurement and exercise development system are described. The implemented system consists of mechanical structure, force measurement sensor, electronic circuit, and computer software. Isometric-isotonic (via spring resistance) strength analysis and various exercise programs can be applied with the system. The developed system has a lower cost compared to its counterparts in the literature and has a structure that can be adapted to different machines and measuring methods. The operability and reliability of the isometric strength measurement and exercise development system have been proven by calibration tests.

scholarly journals Self-harm in first-episode psychosis

2009 ◽  
Vol 33 (3) ◽  
pp. 104-107 ◽  
Author(s):  
Kamlesh Patel ◽  
Rachel Upthegrove
Keyword(s):  
Local Area ◽  
First Episode Psychosis ◽  
Psychiatric Services ◽  
First Episode ◽  
Psychotic Illness ◽  
Completed Suicide ◽  
Episode Psychosis ◽  
History Of ◽  
Self Harm ◽  
And Gender

Aims and MethodSuicide in schizophrenia remains frequent. One of the best predictors of suicide, previous self-harm, is increasing in young people. the aim of this case-note review was to investigate the frequency of a history of self-harm for individuals presenting to psychiatric services with a first episode of psychosis in our local area and study their demographic characteristics.ResultsA history of self-harm was found in 32% of the cohort. the predominant method of self-harm was self-laceration. In univariate analyses, age and gender were significant predictors of self-harming behaviour.Clinical ImplicationsThe rate of self-harm among those with first-episode psychosis is high. Efforts to reduce the rate of completed suicide in psychotic illness need to focus on this risk, which often predates contact with psychiatric services. This emphasises again the need for early detection and intervention in psychotic illness.

scholarly journals Suicide following presentation to emergency departments with suicidal ideation: a population-wide study

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Emma Ross ◽  
Aideen Maguire ◽  
Denise O'Hagan ◽  
Dermot O'Reilly
Keyword(s):  
Emergency Departments ◽  
Suicide Ideation ◽  
Cox Regression ◽  
Factors Associated ◽  
Risk Of Death ◽  
Emergency Department Staff ◽  
Completed Suicide ◽  
Target Prevention ◽  
Self Harm ◽  
The Uk

Background Little is known about the association between suicide ideation and completed suicide. As NI has the highest suicide rate in the UK and Ireland it is vital to understand who is most at risk in order to target prevention strategies effectively. Aim To explore the risk factors for completed suicide following presentation with suicide ideation. Methods The Northern Ireland Registry of Self-Harm and Suicide Ideation contains information on all presentations to all Emergency Departments in NI for self-harm and suicide ideation. Data from 2012-2015 were linked to centralised electronic data relating to primary care, prescribed medication and mortality records. Initial analyses were completed to explore the profile of those who present with suicide ideation, and logistic regression was utilised to examine the likelihood of mortality post presentation. Cox regression was utilised to examine the factors associated with completed suicide following presentation with ideation. Results The cohort consisted of 1,483,435 individuals born or resident in NI from 1st January 1970 until 31st December 2015 (maximum age in 2015, 45 years). Between 2012-2015, 4,975 (0.3%) individuals presented with suicide ideation and 583 (0.04%) individuals died by suicide. Ideation is more likely in men compared to women (OR=1.87, 95%CI 1.76,1.98), in those aged 18-24 years, and in more deprived individuals. Of those who presented with ideation, 66 (1.3%) subsequently died by suicide. In fully-adjusted models, those who presented with suicide ideation were 25 times more likely to die by suicide compared to those who did not (HR=25.0, 95%CI 19.3,32.5). Amongst suicide ideators, male gender (HR=2.67, 95% CI 1.39,5.10) and multiple presentations (HR=1.95, 95% CI 1.09,3.50) were associated with the greatest risk of death by suicide. Conclusion These findings could help emergency department staff identify individuals at greatest risk of suicide and could be utilised in the development of targeted intervention strategies.

scholarly journals Content analytics for curriculum review: A learning analytics use case for exploration of learner context

2020 ◽  
Author(s):  
Leah P. Macfadyen
Keyword(s):  
Text Analysis ◽  
Student Writing ◽  
Analysis Tool ◽  
Use Case ◽  
Curriculum Analysis ◽  
Curriculum Review ◽  
Curriculum Renewal ◽  
Text Content ◽  
User Friendly ◽  
Traditional Approaches

Curriculum analysis is a core component of curriculum renewal. Traditional approaches to curriculum analysis are manual, slow and subjective, but some studies have suggested that text analysis might usefully be employed for exploration of curriculum. This concise paper outlines a pilot use case of content analytics to support curriculum review and analysis. I have co-opted Quantext – a relatively user-friendly text analysis tool designed to help educators explore student writing – for analysis of the text content of the 17 courses in our online master’s program. Quantext computed descriptive metrics and readability indices for each course and identified top keywords and ngrams per course. Compilation and comparison of these revealed frequent curricular topics and networks of thematic relationships between courses, in ways that both individual educators and curriculum committees can interpret and use for decision-making. Future Quantext features will allow even more sophisticated identification of curricular gaps and redundancies.

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