The Mother’s Role in Mother-Child Relationship Among Adolescents with Unwanted Pregnancies

The mother’s role is essential in an adolescent’s development due to the challenges of life and exposure to the outside world, which affect and constantly change the mother’s role. This study intends to explore the experiences of the mother’s roles in the mother-child relationship among adolescents with unwanted pregnancies. A phenomenological approach was employed to obtain the essence of the experiences. A total of 10 participants comprising of five pregnant adolescents and their mothers were interviewed to understand the role played by the adolescents’ mothers during the pregnancy. A diary was distributed among the adolescents to allow them to externalise and express the experiences that they had with their mothers while being pregnant. This study used thematic analysis because it is flexible in interpreting the data and allows to approach large data sets more easily by sorting them into broad themes. Five themes emerged as follows: (a) supervising and monitoring, (b) rules and regulations, (c) showing affection, (d) educating adolescents, and (e) giving encouragement and support. This study provided insights on the mothers’ struggles in raising their adolescents which were highlighted from two perspectives: adolescents and mothers. The findings revealed the challenges faced by the mothers with various types of family structure.

Download Full-text

An example of spectrum imaging used for comparison of EELS quantitative analysis techniques on Al-Li

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010008794x ◽

1991 ◽

Vol 49 ◽

pp. 726-727

Author(s):

John A. Hunt

Keyword(s):

Quantitative Analysis ◽

Large Data ◽

Difference Spectrum ◽

Large Data Sets ◽

Foil Thickness ◽

Data Sets ◽

Analysis Techniques ◽

Spectrum Imaging ◽

Normal Spectrum ◽

Electron Energy Loss

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].

Download Full-text

Cluster analysis for large data sets: applications to individual aerosol particles from the mid-pacific

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100132078 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1488-1489

Author(s):

Thomas W. Shattuck ◽

James R. Anderson ◽

Neil W. Tindale ◽

Peter R. Buseck

Keyword(s):

Cluster Analysis ◽

Chemical Reactivity ◽

Large Data ◽

Large Data Sets ◽

Particle Analysis ◽

Data Sets ◽

Halogen Chemistry ◽

Complete Study ◽

Components Analysis ◽

Automated Scanning

Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on long range particle transport, iron deposition, sea salt ageing, and halogen chemistry.Aerosol particle data sets suffer from a number of difficulties for pattern recognition using cluster analysis. There is a great disparity in the number of observations per cluster and the range of the variables in each cluster. The variables are not normally distributed, they are subject to considerable experimental error, and many values are zero, because of finite detection limits. Many of the clusters show considerable overlap, because of natural variability, agglomeration, and chemical reactivity.

Download Full-text

Faculty Opinions recommendation of Detecting novel associations in large data sets.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13805958.793484294 ◽

2014 ◽

Author(s):

Daniel Lee

Keyword(s):

Large Data ◽

Large Data Sets ◽

Data Sets ◽

Novel Associations

Download Full-text

NVESTIGATION OF THE EFFICIENCY OF DISTRIBUTED INFORMATION SYSTEMS BASED ON THE PROCESSING OF LARGE AMOUNTS OF DATA

Visnyk Universytetu “Ukraina” ◽

10.36994/2707-4110-2019-2-23-03 ◽

2019 ◽

Author(s):

Mykhajlo Klymash ◽

Olena Hordiichuk — Bublivska ◽

Ihor Tchaikovskyi ◽

Oksana Urikova

Keyword(s):

Distributed Systems ◽

Large Data ◽

Large Data Sets ◽

Data Sets ◽

Data Decomposition ◽

Distributed Information ◽

Software Model ◽

Computing Performance ◽

Mapreduce Model ◽

Singular Data

In this article investigated the features of processing large arrays of information for distributed systems. A method of singular data decomposition is used to reduce the amount of data processed, eliminating redundancy. Dependencies of computational efficiency on distributed systems were obtained using the MPI messaging protocol and MapReduce node interaction software model. Were analyzed the efficiency of the application of each technology for the processing of different sizes of data: Non — distributed systems are inefficient for large volumes of information due to low computing performance. It is proposed to use distributed systems that use the method of singular data decomposition, which will reduce the amount of information processed. The study of systems using the MPI protocol and MapReduce model obtained the dependence of the duration calculations time on the number of processes, which testify to the expediency of using distributed computing when processing large data sets. It is also found that distributed systems using MapReduce model work much more efficiently than MPI, especially with large amounts of data. MPI makes it possible to perform calculations more efficiently for small amounts of information. When increased the data sets, advisable to use the Map Reduce model.

Download Full-text

Using Large Data Sets and Statistical Tools to Define “Failure” and Demonstrate the Safety of DPR

Proceedings of the Water Environment Federation ◽

10.2175/193864718824828128 ◽

2018 ◽

Vol 2018 (6) ◽

pp. 38-39

Author(s):

Austa Parker ◽

Yan Qu ◽

David Hokanson ◽

Jeff Soller ◽

Eric Dickenson ◽

...

Keyword(s):

Large Data ◽

Large Data Sets ◽

Data Sets ◽

Statistical Tools

Download Full-text

Online Judging Platform Utilizing Dynamic Plagiarism Detection Facilities

Computers ◽

10.3390/computers10040047 ◽

2021 ◽

Vol 10 (4) ◽

pp. 47

Author(s):

Fariha Iffath ◽

A. S. M. Kayes ◽

Md. Tahsin Rahman ◽

Jannatul Ferdows ◽

Mohammad Shamsul Arefin ◽

...

Keyword(s):

Source Code ◽

Large Data ◽

Large Data Sets ◽

Detection Technique ◽

Data Sets ◽

Plagiarism Detection ◽

Source Codes ◽

Efficient Detection ◽

Mathematical Problems ◽

Automatic Scoring

A programming contest generally involves the host presenting a set of logical and mathematical problems to the contestants. The contestants are required to write computer programs that are capable of solving these problems. An online judge system is used to automate the judging procedure of the programs that are submitted by the users. Online judges are systems designed for the reliable evaluation of the source codes submitted by the users. Traditional online judging platforms are not ideally suitable for programming labs, as they do not support partial scoring and efficient detection of plagiarized codes. When considering this fact, in this paper, we present an online judging framework that is capable of automatic scoring of codes by detecting plagiarized contents and the level of accuracy of codes efficiently. Our system performs the detection of plagiarism by detecting fingerprints of programs and using the fingerprints to compare them instead of using the whole file. We used winnowing to select fingerprints among k-gram hash values of a source code, which was generated by the Rabin–Karp Algorithm. The proposed system is compared with the existing online judging platforms to show the superiority in terms of time efficiency, correctness, and feature availability. In addition, we evaluated our system by using large data sets and comparing the run time with MOSS, which is the widely used plagiarism detection technique.

Download Full-text

Correlations of random classifiers on large data sets

Soft Computing ◽

10.1007/s00500-021-05938-4 ◽

2021 ◽

Author(s):

Věra Kůrková ◽

Marcello Sanguineti

Keyword(s):

Large Data ◽

Large Data Sets ◽

Data Sets

Download Full-text

Analysis of the early mother-child relationship in schizophrenic patients

International Journal of Social Psychiatry ◽

10.1177/0020764021991186 ◽

2021 ◽

pp. 002076402199118

Author(s):

Marziyeh Khoshgoftar ◽

Anahita Khodabakhshi-Koolaee ◽

Mohammad Reza Sheikhi

Keyword(s):

Cultural Context ◽

Phenomenological Approach ◽

Sampling Procedure ◽

Structured Interviews ◽

Step Method ◽

Child Relationship ◽

New Information ◽

Data Saturation ◽

Schizophrenic Patients ◽

Mother Child Relationship

Background and Aim: The mother as the first caregiver plays a significant role in the formation of the child’s behavior, growth, and communication. The present study aimed to analyze the early mother-child relationship in schizophrenic patients. Materials and Methods: This qualitative study employed a descriptive phenomenological approach. The participants were male patients with schizophrenia who were hospitalized in Qazvin Bahman Psychiatric Hospital from March to September 2020 with an age range of over 18 years. Given the objective of the study, the data were collected using semi-structured interviews. The participants were selected using purposive sampling and the sampling procedure continued until data saturation as the point when no new information is observed in the data. Accordingly, the data were saturated after interviewing 15 participants. The data were analyzed using Colaizzi’s seven-step method. Results: The analysis of the data revealed four main themes including ambivalent attachment to the mother, feelings of constant fear and worry, a sense of constant care for the mother, and a cold and emotionless relationship with the child. Conclusion: The present study suggested that schizophrenia is a disorder that affects the mother-child relationship, and does the term “schizophrenic mothers” need to be reconsidered? However, the result of this research has been done according to the nature and cultural context of Iranian society.

Download Full-text