A study on Domestic Violence against Women Using Induced Fuzzy Associative Memories (IFAM)
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Empowerment of women in India is faced with the challenge of ‘violence against women’. As violence in perpetrated against women everywhere, domestic violence by the intimate partner or the partner’s family assumes more importance in addressing the broader of problem of violence against women. In this paper we analyse the factors which perpetrate domestic violence and how it impinges of women empowerment. The first section of this paper gives an introduction to the problem and the second section gives the basic definitions of the IFAM model. In the third section we adapt IFAM model to the problem of domestic violence and finally the fourth section gives the conclusion and suggestions based on our analysis.
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goal of all evolution. Until we stop harming all other
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2. What did you learn that was new? What had you never considered before? How might the issues you studied on women relate to other oppressed populations?
3. How much evidence was provided to support material presented?
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Res Publica - Journal of Undergraduate Research
Volume 14 | Issue 1 Article 9
2009
Gender Inequalities and International Military
Aggression: The Role of Feminism in Achieving
Peace
Katie Heaney
Illinois Wesleyan University
This Article is brought to you for free and open access by the Political Science Department at Digital Commons @ IWU. It has been
accepted for inclusion in Res Publica - Journal of Undergraduate Research by an authorized administrator of Digital Commons @ IWU. For
more information, please contact [email protected]
©Copyright is owned by the author of this document.
Recommended Citation
Heaney, Katie (2009) "Gender Inequalities and International Military Aggression: The Role
of Feminism in Achieving Peace," Res Publica - Journal of Undergraduate Research: Vol.
14
Available at: http://digitalcommons.iwu.edu/respublica/vol14/iss1/9
http://www.iwu.edu/
http://www.iwu.edu/
http://digitalcommons.iwu.edu/respublica
http://digitalcommons.iwu.edu/respublica/vol14
http://digitalcommons.iwu.edu/respublica/vol14/iss1
http://digitalcommons.iwu.edu/respublica/vol14/iss1/9
mailto:[email protected]
32 Res Publica
GENDER INEQUALITIES AND INTERNATIONAL MILITARY
AGGRESSION: THE ROLE OF FEMINISM IN ACHIEVING
PEACE
Katie Heaney
Abstract International relations scholars have often looked to domestic state composition and
structure to examine root causes of interstate behavior, specifically disputes. This research
study adds to this growing body ...
SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics
OBJECTIVES: To determine how SPSS can be a useful tool to evaluate Course Learning Outcomes and analyze student's performance with the help of KS test, histogram and skewness of the tool. It is also contributing to facilitate Deep learning amongst students with the help of achievement of normal distribution of grades. METHODS: Comparative analysis is done using course specification, syllabus, assessment method(Final Exam Question paper is taken as tool) and result statistics for the course of STATISTICAL PROGRAMMING (217 CSM), 3rd year (level 5 course) that is part of BCS curriculum in department of Computer Science, College of computer Science in King Khalid University. Teaching strategies are compared for two years. i.e; 2013 and 2014. Moreover the research inferences the relevance of application of NCAAA standards in meeting Learning outcomes of any module for department of Computer Science, CCS, KKU. RESULTS: Comparison of question papers depict that now students are motivated to have deep learning in terms of understanding, solving, reasoning based questions as contrast to shallow learning (memorized questions) in the past. It is indeed improving Learning domains too (Knowledge, Cognitive, Interpersonal and Communication skills) more effectively than in the past. Also grade distribution is Normal with well-defined curve for 2014 as compared to 2013 having variation in Standard deviation too. Teacher centered learning lead to surface learning. After NCAA standards implementation, there is more focus on learned centered teaching. Design of learning assessments is in such a way that it should meet learning outcomes successfully. CONCLUSIONS: The research is contributing in flourishing the personality of the students to produce qualified graduates with excellence in communication, logically and technically capable enough to share their knowledge nationally and internationally with much more confidence at any platform. Also it is opening door for researchers to evaluate their performance with the help of SPSS in academics or anywhere where we want to gather.
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
Detection of software bugs and its occurrences, repudiation and its root cause is a very difficult process in large multi threaded applications. It is a must for a software developer or software organization to identify bugs in their applications and to remove or overcome them. The application should be protected from malfunctioning. Many of the compilers and Integrated Development Environments are effectively identifying errors and bugs in applications while running or compiling, but they fail in detecting actual cause for the bugs in the running applications. The developer has to reframe or recreate the package with the new one without bugs. It is time consuming and effort is wasted in Software Development Life Cycle. There is a possibility to use graph mining techniques in detecting software bugs. But there are many problems in using graph mining techniques. Managing large graph data, processing nodes with links and processing subgraphs are the problems to be faced in graph mining approach. This paper presents a novel algorithm named BugLoc which is capable of detecting bugs from the multi threaded software application. The BugLoc uses object template to store graph data which reduces graph management complexities. It also uses substring analysis method in detecting frequent subgraphs. The BugLoc then analyses frequent subgraphs to detect exact location of the software bugs. The experimental results show that the algorithm is very efficient, accurate and scalable for large graph dataset.
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1847American Economic Review 100 (September 2010) 1847–18.docx
1847
American Economic Review 100 (September 2010): 1847–1859
http://www.aeaweb.org/articles.php?doi=10.1257/aer.100.4.1847
Three-quarters of all violence against women is perpetrated by domestic partners, with poor
women disproportionately affected. The estimated costs of domestic violence in terms of medi-
cal care and declines in productivity exceed $5.8 billion annually (Centers for Disease Control
2003). In this paper I examine the impact of the gender wage gap on levels of domestic violence
in the United States. An economic theory of household bargaining that incorporates violence
predicts that increases in a woman’s relative wage increase her bargaining power and lower levels
of violence by improving her outside option. To test the predictions of this theory, I estimate the
impact of the gender wage gap on violence against women by exploiting exogenous changes in
the demand for labor in female dominated industries relative to male dominated ones. I find that
decreases in the wage gap reduce violence against women.
This research addresses a number of limitations in existing work. First, most previous studies
of the relationship between women’s income and domestic violence fail to establish a causal rela-
tionship by failing to account for the potential for omitted variable bias or reverse causality. Even
the handful of papers that do consider this potential endogeneity focus largely on a woman’s own
wage when a household bargaining model suggests both that a woman’s relative wage matters
and that potential, not actual, wages determine bargaining power and levels of violence. Finally,
previous work is based on survey data which are prone to nonrandom underreporting and are not
consistently collected over time.
To overcome these shortcomings, I employ two strategies. First, I develop a new measure of
violence based on administrative data: female hospitalizations for assault. These data represent
an improvement over individual survey data because they do not necessarily rely on self-reports
of violence, are consistently collected over a long period of time, and include the universe of
women in California (roughly 15 million individuals). Second, to overcome the endogeneity of
individual wages and account for the fact that theory predicts that potential, not actual, wages
affect violence, I analyze the impact of the wage gap as a function of local demand for female
and male labor on domestic violence. To do so I take advantage of the fact that certain industries
have traditionally been dominated by women (e.g., services) and others by men (e.g., construc-
tion) to create sex-specific measures of prevailing local wages based on the industrial structure
of the county and statewide wage growth in industries dominant in each county. Constructed in
this way, this measure of the gender wage gap reflects sex-specific labor demand (see Timothy
Bartik 1991; Olivier J. Blanchard and Lawrence F. Katz 1992) not underlying w.
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A Study of Factors Affecting the Personlaity Using Weighted Multi Expert Neur...
Personality is a dynamic organization of psychological system within an individual that will determine one’s adaptation to the environment. Dynamic Organization means an integration and connection between various aspects of personality. Personality can change, expand and is not statistical. ‘Psychophysical system’ is the habit, attitude, values, beliefs, emotional state, sentiment and motive in the form of psychology but posses physical basis in the nerve system, glands and body in general. Personality as behavior of individuals that are displayed in their everyday lives, this implies that every work or activity done in individual can provide an impression of their true personality. Sometimes our different perceptions are a cause of conflict and misunderstanding in our family, work and social lives in the environment, some of the factors affecting the personality, such as, food, peers, friends, education, upbringing genetics (depression and diseases), traumatic experiences in childhood, self-image, previous experiences in life, attitude and choices about those experiences, medication and bullying. In this paper we analyzed, main factors affecting the personality using weighted multi expert neural network system
Paper 2 (100 points)It is expected that all papers will be c.docx
Paper 2 (100 points)
It is expected that all papers will be clearly written using correct spelling and grammar in APA style of referencing. Papers should be about 4-6 pages in length.
Address the following points in your paper:
1. How do the readings you selected compare and contrast from the required readings on the topic?
2. What did you learn that was new? What had you never considered before? How might the issues you studied on women relate to other oppressed populations?
3. How much evidence was provided to support material presented?
What did you read about that you do not agree with? What is your disagreement based on? (your values, opinions, statistics)
4. How might you use what you learned about to promote social and economic justice in the social work profession?
5. How compatible were the values presented with the values of the social work profession?
Grading Criteria for Paper 2
Used 2 additional academic journal 20 points
Discussed how the readings compare and contrast from the required readings on the topic. 40 points
Discussed what you learned that was new, what had you never considered before, and how might the issues you studied on women relate to other oppressed populations. 10 points
Discussed how much evidence was provided to support material presented. 10 points
Discussed how compatible were the values presented with the values of the social work profession. 10 points
Paper organized, correct grammar and APA.10 points
Res Publica - Journal of Undergraduate Research
Volume 14 | Issue 1 Article 9
2009
Gender Inequalities and International Military
Aggression: The Role of Feminism in Achieving
Peace
Katie Heaney
Illinois Wesleyan University
This Article is brought to you for free and open access by the Political Science Department at Digital Commons @ IWU. It has been
accepted for inclusion in Res Publica - Journal of Undergraduate Research by an authorized administrator of Digital Commons @ IWU. For
more information, please contact [email protected]
©Copyright is owned by the author of this document.
Recommended Citation
Heaney, Katie (2009) "Gender Inequalities and International Military Aggression: The Role
of Feminism in Achieving Peace," Res Publica - Journal of Undergraduate Research: Vol.
14
Available at: http://digitalcommons.iwu.edu/respublica/vol14/iss1/9
http://www.iwu.edu/
http://www.iwu.edu/
http://digitalcommons.iwu.edu/respublica
http://digitalcommons.iwu.edu/respublica/vol14
http://digitalcommons.iwu.edu/respublica/vol14/iss1
http://digitalcommons.iwu.edu/respublica/vol14/iss1/9
mailto:[email protected]
32 Res Publica
GENDER INEQUALITIES AND INTERNATIONAL MILITARY
AGGRESSION: THE ROLE OF FEMINISM IN ACHIEVING
PEACE
Katie Heaney
Abstract International relations scholars have often looked to domestic state composition and
structure to examine root causes of interstate behavior, specifically disputes. This research
study adds to this growing body ...
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The intuitionistic double layered fuzzy graph gives a 3-D structural view to a fuzzy graph. To find the cartesian product of two intuitionistic double layered fuzzy graphsis a challenging one. In this paper under some condition,a simple method to find the vertex degree of cartesian product of two IDLFG without the cartesianproduct structure is given.
Clustering and Classification in Support of Climatology to mine Weather Data ...
Knowledge of climate data of region is essential for business, society, agriculture, pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year.The data mining application help meteorological scientists to predictaccurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.
Test Suite Reduction Based on Fault Detection with Cost Optimization
Test Suite Reduction is an optimization technique to identify the minimally sized subset of test cases with enforced constraints involved. The main purpose of test suite reduction is to deduce increased number of test cases that in turn increase the time and cost involved in execution. Fault Detection is the method of identifying the faults that affect the outcome of the system either logically or syntactically. This paper focuses on the reduction of the test suite that has high fault identification rates and also incurs low cost of execution of test cases. The proposed approach includes a new parameter Fault Detection Effectiveness to identify fault rates of test suite; an algorithm for test suite reduction based on priority of requirements; a low cost framework to identify the execution of test cases with minimum budget. Thus, the proposed work defines a test suite that has high fault detection effectiveness providing maximum coverage to requirements at minimum cost of execution.
Artifact Facet Ranking and It’s Applications
As the e-commerce is gaining popularity various customer surveys of objects are currently accessible on the Internet. These surveys are frequently disordered, prompting challenges in knowledge discovery and object assessment. This article proposes an object feature positioning skeleton, which consequently recognizes the critical features of an object from online customer surveys. The critical object features are recognized focused around two perceptions: 1) they are normally commented extensively by customers and 2) customer suppositions on the critical feature significantly impact their general assessments on the object. Specifically, given the customer surveys of an item, we first extract the object feature by a shallow reliance parser and focus customer suppositions on these features through an opinion characterizer. We then create a probabilistic object feature positioning calculation to identify the criticalness of perspectives by at the same time considering feature recurrence and the impact of customer opinion given to every feature over their general opinion. The experimental results on 3 popular products demonstrate the effectiveness of our approach.
Effectual Data Integrity Checking Technique Based on Number Theory
Cloud Computing makes data really mobile and a client can simply access a chosen cloud with any internet accessible device. The espousal and dispersion of Cloud computing are threatened by unresolved security issues that affect both the cloud provider and the cloud user. The integrity of data stored in the cloud is one of the challenges to be addressed before the novel storage model is applied widely. This paper analyses the efficiency issues and security dodge of an existing scheme and proposes an amended data integrity scheme using improved RSA and number theory based concept for cloud archive. This scheme of protecting the integrity of guest virtual machines can be agreed upon by both the cloud and the customer and can be incorporated in the service level agreement (SLA).Based onhypothetical analysis, we demonstrate that the proposedscheme has a provably safe and highly adroit dataintegrity inspection measure.
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain
What cause to the neurons of the human brain cells when they are damaged. They become inactive. So damage to subthalamiuc nucleus (STN) neurons of the human brain causing larger involuntary movements and thereby attacking the Parkinson’s disease (PD). Deep brain stimulation (DBS) of bilateral sub thalamic nuclei (STN) is an efficient method of rehabilitation technique in subjects with advanced idiopathic Parkinson’s (or Parkinson) disease. Accurate targeting of STN neurons and placement of microelectrodes/ (neurosensors) are paramount importance for optimal results after STN-DBS method.In this paper, microminiaturized electrode recordings (MER) of STN neurons were detected in a mean of 3.5 ±1.1 channels on right hemisphere and 3.6 ±1.04 on left hemisphere.Final channel selected were most commonly central seen in 42.3% followed by anterior in 33.7%. When a high current is delivered to STN or GPi neurons of basal ganglia (a component of human brain), causing their inhibition and improved indication of symptoms. It is now known that there is a significant change in the firing pattern and a reorganization of the entire basal ganglia circuit with DBS. The MER of STN neurons has identified a specific high frequency irregular larger amplitude firing patterns seen only in disease states and hence used to detect the neurons of ST nucleus during functional surgery. Microelectrode recording is so useful to confirm the right path but has to be taken in consideration with effects on macro stimulation.
EDM: Finding Answers to Reduce Dropout Rates in Schools
The focus of this paper is to get a bird's eye view of the various factors that could be analyzed to present schools and governments timely indicators of school dropouts. With the help of EDM, one could have access to enormous amounts of data. The crux of the matter would be to identify the data in line with plans and ideas that would eventually lead to the formulation of policies that enhance the teaching and learning process.
Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...
Agile software development has been gaining popularity and replacing the traditional methods of developing software. However, estimating the size and effort in Agile software development still remains a challenge. Measurement practices in agile methods are more important than traditional methods, because lack of appropriate an effective measurement practices will increase the risk of project. This paper discuss about traditional and agile effort estimation model, and analysis done on how the metrics are used in estimation process. The paper also suggeststo use object point and use case point to improve accuracy of effort in agile software development.
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SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics
SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
Analysis of Women Harassment in Villages Using CETD Matrix Modal
Analysis of Women Harassment in Villages Using CETD Matrix Modal
Solving Assignment Problem Using L-R Fuzzy Numbers
Solving Assignment Problem Using L-R Fuzzy Numbers
A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...
A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...
Dual Trapezoidal Fuzzy Number and its Applications
Dual Trapezoidal Fuzzy Number and its Applications
Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...
Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...
Classification and Prediction of Heart Disease from Diabetes Patients using H...
Classification and Prediction of Heart Disease from Diabetes Patients using H...
Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...
Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...
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Clustering and Classification in Support of Climatology to mine Weather Data ...
Test Suite Reduction Based on Fault Detection with Cost Optimization
Test Suite Reduction Based on Fault Detection with Cost Optimization
Effectual Data Integrity Checking Technique Based on Number Theory
Effectual Data Integrity Checking Technique Based on Number Theory
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain
EDM: Finding Answers to Reduce Dropout Rates in Schools
EDM: Finding Answers to Reduce Dropout Rates in Schools
Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...
Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...
Recently uploaded
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.Phenomics assisted breeding in crop improvement
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
SAR of Medicinal Chemistry 1st by dk.pdf
In this presentation include the prototype drug SAR on thus or with their examples .
Syllabus of Second Year B. Pharmacy
2019 PATTERN.
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...Abdul Wali Khan University Mardan,kP,Pakistan
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skillsShallowest Oil Discovery of Turkiye.pptx
The Petroleum System of the Çukurova Field - the Shallowest Oil Discovery of Türkiye, Adana
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(UAM毕业证书)马德里自治大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Recently uploaded (20)
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
A study on Domestic Violence against Women Using Induced Fuzzy Associative Memories (IFAM)
- 1. International Journal of Computing Algorithm, Vol 2(2), December 2013 ISSN(Print):2278-2397 Website: www.ijcoa.com A study on Domestic Violence against Women Using Induced Fuzzy Associative Memories (IFAM) A.Victor Devadoss1 , K.Sudha2 1 Head & Associate Professor, Department of Mathematics, Loyola College, Chennai 2 Ph.D Research Scholar, Department of Mathematics, Loyola College, Chennai Email: hanivictor@ymail.com, ashu.8788@gmail.com Abstract Empowerment of women in India is faced with the challenge of ‘violence against women’. As violence in perpetrated against women everywhere, domestic violence by the intimate partner or the partner’s family assumes more importance in addressing the broader of problem of violence against women. In this paper we analyses the factors which perpetrate domestic violence and how it impinges of women empowerment. The first section of this paper gives an introduction to the problem and the second section gives the basic definitions of the IFAM model. In the third section we adapt IFAM model to the problem of domestic violence and finally the fourth section gives the conclusion and suggestions based on our analysis.