90 research outputs found
Ground-water hydrology of the upper Klamath Basin, Oregon and California
No full textby Marshall W. Gannett, Kenneth E. Lite Jr., Jonathan L. La Marche, Bruce J. Fisher, and Danial J. Polette ; prepared in cooperation with the Oregon Water Resources Department.Title from PDF cover (viewed on April 22, 2020).Covers OCLC #1151627285 and OCLC #123900688.This archived document is maintained by the State Library of Oregon. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Mode of access: Internet from the State Library of Oregon U.S. Government Publications Collection.Text in English
A Framework for Recognition and Confronting of Obfuscated Malwares Based on Memory Dumping and Filter Drivers
No full textExploratory fMRI analysis without spatial normalization
Full text linkAuthor Manuscript received 2010 March 11. 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. ProceedingsWe present an exploratory method for simultaneous parcellation of multisubject fMRI data into functionally coherent areas. The method is based on a solely functional representation of the fMRI data and a hierarchical probabilistic model that accounts for both inter-subject and intra-subject forms of variability in fMRI response. We employ a Variational Bayes approximation to fit the model to the data. The resulting algorithm finds a functional parcellation of the individual brains along with a set of population-level clusters, establishing correspondence between these two levels. The model eliminates the need for spatial normalization while still enabling us to fuse data from several subjects. We demonstrate the application of our method on a visual fMRI study.McGovern Institute for Brain Research at MIT. Neurotechnology ProgramNational Science Foundation (U.S.) (CAREER Grant 0642971)National Institutes of Health (U.S.) (NIBIB NAMIC U54-EB005149)National Institutes of Health (U.S.) (NCRR NAC P41-RR13218
Conducting political research in a highly sensitive post-conflict environment: reflections from the internally displaced camps in Kenya
No full textThis article elucidates the ethical and methodological intricacies of the
semi- structured interviews when the author conducted his qualitative-
based fieldwork in the Internally Displaced Camps (IDPs) in Nairobi
and Rift Valley, Kenya
DeepRadar: A cyber-defence interceptor for early warning and defusing malware injection attacks
Full text linkMalware injection attacks are among the most sophisticated and elusive threats in cybersecurity, characterised by their capacity for privilege escalation, obfuscation, and the ability to deceive antivirus software. This paper introduces a multi-layer architecture, featuring innovative deep neural networks, fast Fourier convolution, and association rule mining strategies, designed for the early detection and defusal of malware injection attacks. We then propose a proactive AI-enabled malware detection platform, DeepRadar, as a novel real-world defence mechanism. This early warning functionality capable of anticipating the attack a few cycles before occurrence represents a novel idea and unique approach to detecting malware injection attacks. The experimental results validate DeepRadar’s superior performance compared to not only previous related studies but also a standard benchmark of well-reputed antivirus applications under various scenarios and accredited datasets, including heavily obfuscated emerging malware variants and adversarial samples. It demonstrates higher Accuracy, F-score, ROC, and AUC metrics in early detection and classification of malware injection attacks while DeepRadar consumes significantly fewer system resources, including processor and memory during long-term scalable operation. The proposed early warning system succeeded in repelling up to 97.2% of attacks before malware could complete their malicious sequence. Lastly, the evaluation results were substantiated by formal statistical analysis using Friedman and Wilcoxon tests. The findings of this research and DeepRadar’s runtime scanner provide vital early warnings against stealthy malware and injection attacks, offering robust protection for sensitive systems and critical infrastructure
Generative models for group fMRI data
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student submitted PDF version of thesis.Includes bibliographical references (p. 151-174).In this thesis, we develop an exploratory framework for design and analysis of fMRI studies. In our framework, the experimenter presents subjects with a broad set of stimuli/tasks relevant to the domain under study. The analysis method then automatically searches for likely patterns of functional specificity in the resulting data. This is in contrast to the traditional confirmatory approaches that require the experimenter to specify a narrow hypothesis a priori and aims to localize areas of the brain whose activation pattern agrees with the hypothesized response. To validate the hypothesis, it is usually assumed that detected areas should appear in consistent anatomical locations across subjects. Our approach relaxes the conventional anatomical consistency constraint to discover networks of functionally homogeneous but anatomically variable areas. Our analysis method relies on generative models that explain fMRI data across the group as collections of brain locations with similar profiles of functional specificity. We refer to each such collection as a functional system and model it as a component of a mixture model for the data. The search for patterns of specificity corresponds to inference on the hidden variables of the model based on the observed fMRI data. We also develop a nonparametric hierarchical Bayesian model for group fMRI data that integrates the mixture model prior over activations with a model for fMRI signals. We apply the algorithms in a study of high level vision where we consider a large space of patterns of category selectivity over 69 distinct images. The analysis successfully discovers previously characterized face, scene, and body selective areas, among a few others, as the most dominant patterns in the data. This finding suggests that our approach can be employed to search for novel patterns of functional specificity in high level perception and cognition.by Danial Lashkari.Ph.D
Near-Infrared Spectroscopy Monitoring in the Neonatal Intensive Care Unit: Changing provider comfort and confidence
Full text linkabstract: Purpose: The purpose of this quality improvement (QI) project was to assess provider (MD and Neonatal Nurse Practitioners (NNP)) comfort and confidence with Near-infrared Spectroscopy (NIRS) monitoring on Newborn Intensive Care Unit (NICU) patients when provided with an educational teaching session.
Background and Significance: NIRS data can be used in conjunction with standard vital sign monitoring to help clinicians understand blood flow and metabolic demands of organ systems, particularly cerebral, renal, and mesenteric blood flow patterns. A NICU unit in the northwestern US adopted NIRS use on their patients in 2008, however, NIRS monitoring usage decreased over the past 5 years, citing a lack of continued education and comfort interpreting and managing NIRS monitored patients. One patient was monitored with NIRS in the year prior to the QI project.
Methods: A 5 point Likert-Type survey was designed to examine provider comfort and confidence using and interpreting NIRS on NICU patients. No Croanbach’s alpha value exists for the survey as it was purposefully designed for the QI project. An educational presentation on the use and interpretation of NIRS on NICU patients was created and delivered during a formal provider staff meeting. Pre and Post education surveys were distributed electronically to participants and were presented 1 week prior to educational session and 1 month after educational session. IBM SPSS version 23 was used for descriptive statistics, paired t tests, and Wilcoxon test. Significance set to p<0.05.
Results: In total, 18 providers (N=18) were surveyed, and 13 paired survey results (n=13) were received (8 MD and 5 NNP). Paired-samples t tests were calculated to compare the mean total score (TS) for pre/post comfort and pre/post confidence. This was a significant improvement for both comfort (t(11) = -3.13, p=0.010) and confidence (t(11) = -3.37, p=0.006). Wilcoxon test showed a significant increase in the times a provider managed a patient with NIRS (z=-2.762, p=0.006). The number NIRS monitored patients increased from one in the previous year to 15 patients in the 5 months of data tracking, a clinically significant increase.
Conclusions: Providing educational session on previously utilized clinical applications can improve providers comfort and confidence and influence their usage in clinical practice. Future continuing education sessions could be designed for different clinical applications in order to keep clinicians abreast of the current evidenced based applications of advanced clinical monitors
Editor-in-Chief
Full text linkAbstract: Professional development of faculty members is an emerging concept in developing countries. It has been embraced quickly in developed nations unlike developing and under developing nations. The major purpose of this paper is to explore various perceived issues and challenges to professional development of faculty members and to provide suggestions to improve such emerging problems. This paper provides suggestions and recommendations for the universities where professional development practices have not yet started or have been started but facing some problems. Author has explored various perceived issues and challenges highlighted by prior studies that have further served as basis to design structured questionnaire and semi-structured interview questions for this study. Four renowned universities of Punjab were selected from which sample of 108 respondents were chosen for data collection. Data has been analyzed by taking simple means and standard deviations through SPSS. The findings of this paper reveal that the issue that is most alarming and has got lowest mean score is granting rewards and incentives and level of satisfaction of faculty members to professional development programs. Author has provided various recommendations as to conduct proper need assessment before training, to properly plan quality training programs and take input of trainees as well, to increase grants and funds for training, to create positive working environment for teachers, to train the trainers, to provide financial and non financial benefits to trainees and to properly scheduling training programs. This study could be beneficial for policy makers, managers and administrators of universities who could device better policies and practices to promote quality teaching in institutes. [Anam siddiqui, Hassan Danial Aslam, Hafiz Muhammad Farhan, Mehrdad Jalalian. Perceived issues and challenges to professional development of faculty members in tertiary academic institutes of Punjab, Pakistan
Novel CO2 Separation Membranes
No full textUsing membranes for CO2 capture has gained recent prominence in the global scientific community due to its lower capital cost and a quicker separation performance than the conventional separation methods. The membrane process features desirable properties, like compactness, energy efficiency, and environmental friendliness. Various polymeric and inorganic materials have been tested both as unique ingredients and blends to form CO2 separation membranes with a focus on increasing the performance but have had varying rates of success. For commercial viability, the membrane sector requires new techniques and testing materials to lower the cost of CO2 capture. Recently, thermally rearranged polymers, intrinsic microporous polymers, ionic liquid inclusion as fillers, and binary fillers have all emerged as novel trends, focusing on enhancing the working efficiency and sustainability of the membranes. This chapter explores the most recent advances in membrane technology and its future prospects as a sustainable solu ion towards carbon dioxide capture. This Page is compulsory Book Title – Sustainable Carbon Capture: Technologies and Applications Chapter Author(s) – Asif Jamil, Department of Chemical Polymer and Composite Material Engineering, University of Engineering and Technology (New Campus), Lahore, Pakistan, [email protected] Muhammad Latif, Institute of Energy and Environmental Engineering, University of the Punjab, 54590, Lahore, Pakistan, [email protected] Alamin Idris Abdulgadir, Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden, [email protected] Danial Qadir, Centre for Sustainable Engineering, Teesside University, Middlesbrough, United Kingdom, [email protected] Hafiz Abdul Mannan, Institute of Polymer and Textile Engineering, University of the Punjab, 54590, Lahore, Pakistan, [email protected]</p
Factors influencing the acceptance and use of a bicycle sharing system: Applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT)
No full textThis study explores which factors influence bicycle sharing systems acceptance as a new transportation technology by identifying and describing their relationships to intention and usage behaviour. Using the latest version of technology acceptance models (UTAUT2), this study examines the effect of Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influence, Price Value and Perceived Safety on acceptance and usage of a newly introduced bicycle sharing system in Mashhad (MBSS), Iran. The mediating effect of intention to use MBSS on the relationship between these constructs and use behaviour was examined. A total of 600 questionnaires were distributed at 128 MBSS stations of which 271 users responded. The result of a regression analysis indicated that intention to use MBSS was predicted by all the studied constructs except for Price Value, while a path analysis showed that through the Behavioural Intention, Facilitating Conditions was the only significant construct to influence Use Behaviour. Findings did not support age, income, education, and experience as moderating the relationships between the constructs and Behavioural Intention. This study recommends tracking the barriers of acceptance of bicycle sharing system by those population groups who do not use the system or use it less than the others. Moreover, findings of this study suggest improvements to Facilitating Conditions such as integration of public transport and MBSS, relocation of the stations to improve their (equity of) accessibility and, introducing motivational promotion campaigns, improving cycling social status, and improved customer service of staff may make MBSS more interesting for citizens.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport and Logistic
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