keyword
MENU ▼
Read by QxMD icon Read
search

Transformative learning

keyword
https://www.readbyqxmd.com/read/28534772/discriminative-transformation-for-multi-dimensional-temporal-sequences
#1
Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu
Feature space transformation (FST) techniques have been widely studied for dimensionality reduction in vector-based feature space. However, these techniques are inapplicable to sequence data because the features in the same sequence are not independent. In this paper, we propose a method called max-min inter-sequence distance analysis (MMSDA) to transform features in sequences into a low-dimensional subspace such that different sequence classes are holistically separated. To utilize the temporal dependencies, MMSDA first aligns features in sequences from the same class to an adapted number of temporal states and then constructs the sequence class separability based on the statistics of these ordered states...
May 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28533588/transformative-learning-experience-for-physical-therapy-students-through-a-community-health-promotion-project-for-mothers-of-hearing-challenged-children
#2
Masami Yokogawa, Masako Notoya, Sachiko Madokoro
[Purpose] The purpose of this project was to expose physical therapy students to transformative learning through a community health promotion project for mothers of hearing-challenged children. [Subjects and Methods] The participants were three mothers with their respective hearing-challenged child and twenty physical therapy students. The project consisted of seven sessions supervised throughout by a physical therapy instructor. The students participated in seven sessions, while the mothers were required to attend only two sessions of a health checkup and exercise program...
April 2017: Journal of Physical Therapy Science
https://www.readbyqxmd.com/read/28528651/manganese-in-marine-microbiology
#3
Colleen M Hansel
The importance of manganese in the physiology of marine microbes, the biogeochemistry of the ocean and the health of microbial communities of past and present is emerging. Manganese is distributed widely throughout the global ocean, taking the form of an essential antioxidant (Mn(2+)), a potent oxidant (Mn(3+)) and strong adsorbent (Mn oxides) sequestering disproportionately high levels of trace metals and nutrients in comparison to the surrounding seawater. Manganese is, in fact, linked to nearly all other elemental cycles and intricately involved in the health, metabolism and function of the ocean's microbiome...
2017: Advances in Microbial Physiology
https://www.readbyqxmd.com/read/28528510/immunogenomics-using-genomics-to-personalize-cancer-immunotherapy
#4
Rance C Siniard, Shuko Harada
While the use of genomic data has the potential to revolutionize patient care, there is still much work to be done with regard to the transformation of host-tumor interactions into favorable clinical outcomes for our patients. High-throughput technologies, such as next-generation sequencing (NGS), have rapidly advanced our understanding of oncology, and we are learning that most tumors do not simply possess consistently mutated genes that are responsible for tumorigenesis, facilitating the need for personalized cancer therapy...
May 20, 2017: Virchows Archiv: An International Journal of Pathology
https://www.readbyqxmd.com/read/28527739/local-people-s-knowledge-with-regard-to-land-use-activities-in-southwest-madagascar-conceptual-insights-for-sustainable-land-management
#5
Nadine V M Fritz-Vietta, H Stone Tahirindraza, Susanne Stoll-Kleemann
Environmental conditions in the Mahafaly Plateau region in southwest Madagascar are harsh, with a long dry season and a short rainy season. The local people's land use capabilities and skills are adapted to these conditions. Nevertheless, they are currently confronted by drastic climatic changes, including longer dry seasons, which have resulted in food and water scarcities. It is therefore essential to ensure sustainable land management in the region. At present, the main land use activities are agriculture, livestock farming, natural resource collection including timber and non-timber forest products, and the practice of local customs...
May 18, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28524555/considering-gender-and-student-leadership-through-the-lens-of-intersectionality
#6
Daniel Tillapaugh, Donald Mitchell, Krista M Soria
This chapter explores the concept of intersectionality and its applicability to student leadership development as well as recommendations on how intersectionality can provide transformative learning for students of all gender identities.
June 2017: New Directions for Student Leadership
https://www.readbyqxmd.com/read/28521138/transformation-of-cortex-wide-emergent-properties-during-motor-learning
#7
Hiroshi Makino, Chi Ren, Haixin Liu, An Na Kim, Neehar Kondapaneni, Xin Liu, Duygu Kuzum, Takaki Komiyama
Learning involves a transformation of brain-wide operation dynamics. However, our understanding of learning-related changes in macroscopic dynamics is limited. Here, we monitored cortex-wide activity of the mouse brain using wide-field calcium imaging while the mouse learned a motor task over weeks. Over learning, the sequential activity across cortical modules became temporally more compressed, and its trial-by-trial variability decreased. Moreover, a new flow of activity emerged during learning, originating from premotor cortex (M2), and M2 became predictive of the activity of many other modules...
May 17, 2017: Neuron
https://www.readbyqxmd.com/read/28516319/quantitative-prediction-of-drug-side-effects-based-on-drug-related-features
#8
Yanqing Niu, Wen Zhang
MOTIVATION: Unexpected side effects of drugs are great concern in the drug development, and the identification of side effects is an important task. Recently, machine learning methods are proposed to predict the presence or absence of interested side effects for drugs, but it is difficult to make the accurate prediction for all of them. METHODS: In this paper, we transform side effect profiles of drugs as their quantitative scores, by summing up their side effects with weights...
May 17, 2017: Interdisciplinary Sciences, Computational Life Sciences
https://www.readbyqxmd.com/read/28514911/action-learning-across-the-decades
#9
Ken Eason
Purpose The purpose of this paper is to explore how action learning concepts were used in two healthcare projects undertaken many decades apart. The specific purpose in both cases was to examine how action learning can contribute to shared learning across key stakeholders in a complex socio-technical system. In each case study, action learning supported joint design programmes and the sharing of perspectives about the complex system under investigation. Design/methodology/approach Two action learning projects are described: first, the Hospital Internal Communications (HIC) project led by Reg Revans in the 1960s...
May 2, 2017: Leadership in Health Services
https://www.readbyqxmd.com/read/28513769/the-situation-of-nursing-education-in-latin-america-and-the-caribbean-towards-universal-health
#10
Silvia Helena De Bortoli Cassiani, Lynda Law Wilson, Sabrina de Souza Elias Mikael, Laura Morán Peña, Rosa Amarilis Zarate Grajales, Linda L McCreary, Lisa Theus, Maria Del Carmen Gutierrez Agudelo, Adriana da Silva Felix, Jacqueline Molina de Uriza, Nathaly Rozo Gutierrez
Objective: to assess the situation of nursing education and to analyze the extent to which baccalaureate level nursing education programs in Latin America and the Caribbean are preparing graduates to contribute to the achievement of Universal Health. Method: quantitative, descriptive/exploratory, cross-sectional study carried out in 25 countries. Results: a total of 246 nursing schools participated in the study. Faculty with doctoral level degrees totaled 31...
May 11, 2017: Revista Latino-americana de Enfermagem
https://www.readbyqxmd.com/read/28512514/first-year-and-non-first-year-student-expectations-regarding-in-class-and-out-of-class-learning-activities-in-introductory-biology
#11
Tanya L Brown, Kathleen R Brazeal, Brian A Couch
National calls for teaching transformation build on a constructivist learning theory and propose that students learn by actively engaging in course activities and interacting with other students. While interactive pedagogies can improve learning, they also have the potential to challenge traditional norms regarding class participation and learning strategies. To better understand the potential openness of students to interactive teaching practices, we administered a survey during the first week of two sections of an introductory biology course to characterize how students envisioned spending time during class as well as what activities they expected to complete outside of class during non-exam weeks and in preparation for exams...
April 2017: Journal of Microbiology & Biology Education: JMBE
https://www.readbyqxmd.com/read/28508418/quantitative-analysis-of-the-cervical-texture-by-ultrasound-in-the-mid-pregnancy-is-associated-with-spontaneous-preterm-birth
#12
Núria Baños, Alvaro Perez-Moreno, Carla Julià, Clara Murillo-Bravo, David Coronado, Eduard Gratacos, Jan Deprest, Montse Palacio
OBJECTIVE: New tools are required to identify women at increased risk of spontaneous preterm birth (sPTB). Quantitative texture analysis by ultrasound has been used to extract robust features from the ultrasound image of a given tissue to detect subtle changes in its microstructure. This may also be applied to the cervix. We aimed to determine if there is an association between quantitative analysis of the cervical texture (CTx) by ultrasound in the mid-trimester of pregnancy and sPTB <37(+0) weeks...
May 15, 2017: Ultrasound in Obstetrics & Gynecology
https://www.readbyqxmd.com/read/28506641/guiding-multimodal-registration-with-learned-optimization-updates
#13
Benjamin Gutierrez-Becker, Diana Mateus, Loic Peter, Nassir Navab
In this paper, we address the multimodal registration problem from a novel perspective, aiming to predict the transformation aligning images directly from their visual appearance. We formulate the prediction as a supervised regression task, with joint image descriptors as input and the output are the parameters of the transformation that guide the moving image towards alignment. We model the joint local appearance with context aware descriptors that capture both local and global cues simultaneously in the two modalities, while the regression function is based on the gradient boosted trees method capable of handling the very large contextual feature space...
May 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28506493/strategies-for-investigating-the-maternal-fetal-interface-in-the-first-trimester-of-pregnancy-what-can-we-learn-about-pathology
#14
Judith E Cartwright, Guy StJ Whitley
The pathologies of the pregnancy complications pre-eclampsia (PE) and fetal growth restriction (FGR) are established in the first trimester of human pregnancy. In a normal pregnancy, decidual spiral arteries are transformed into wide diameter, non-vasoactive vessels capable of meeting the increased demands of the developing fetus for nutrients and oxygen. Disruption of this transformation is associated with PE and FGR. Very little is known of how these first trimester changes are regulated normally and even less is known about how they are compromised in complicated pregnancies...
May 6, 2017: Placenta
https://www.readbyqxmd.com/read/28505848/emergent-community-agglomeration-from-data-set-geometry
#15
Chenchao Zhao, Jun S Song
In the statistical learning language, samples are snapshots of random vectors drawn from some unknown distribution. Such vectors usually reside in a high-dimensional Euclidean space, and thus the "curse of dimensionality" often undermines the power of learning methods, including community detection and clustering algorithms, that rely on Euclidean geometry. This paper presents the idea of effective dissimilarity transformation (EDT) on empirical dissimilarity hyperspheres and studies its effects using synthetic and gene expression data sets...
April 2017: Physical Review. E
https://www.readbyqxmd.com/read/28503676/learning-optimal-individualized-treatment-rules-from-electronic-health-record-data
#16
Yuanjia Wang, Peng Wu, Ying Liu, Chunhua Weng, Donglin Zeng
Medical research is experiencing a paradigm shift from "one-size-fits-all" strategy to a precision medicine approach where the right therapy, for the right patient, and at the right time, will be prescribed. We propose a statistical method to estimate the optimal individualized treatment rules (ITRs) that are tailored according to subject-specific features using electronic health records (EHR) data. Our approach merges statistical modeling and medical domain knowledge with machine learning algorithms to assist personalized medical decision making using EHR...
October 2016: IEEE International Conference on Healthcare Informatics IEEE International Conference on Healthcare Informatics
https://www.readbyqxmd.com/read/28503160/challenging-cognitive-control-by-mirrored-stimuli-in-working-memory-matching
#17
Maria Wirth, Robert Gaschler
Cognitive conflict has often been investigated by placing automatic processing originating from learned associations in competition with instructed task demands. Here we explore whether mirror generalization as a congenital mechanism can be employed to create cognitive conflict. Past research suggests that the visual system automatically generates an invariant representation of visual objects and their mirrored counterparts (i.e., mirror generalization), and especially so for lateral reversals (e.g., a cup seen from the left side vs...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28501967/plaque-tissue-morphology-based-stroke-risk-stratification-using-carotid-ultrasound-a-polling-based-pca-learning-paradigm
#18
Luca Saba, Pankaj K Jain, Harman S Suri, Nobutaka Ikeda, Tadashi Araki, Bikesh K Singh, Andrew Nicolaides, Shoaib Shafique, Ajay Gupta, John R Laird, Jasjit S Suri
Severe atherosclerosis disease in carotid arteries causes stenosis which in turn leads to stroke. Machine learning systems have been previously developed for plaque wall risk assessment using morphology-based characterization. The fundamental assumption in such systems is the extraction of the grayscale features of the plaque region. Even though these systems have the ability to perform risk stratification, they lack the ability to achieve higher performance due their inability to select and retain dominant features...
June 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28501731/learning-and-unlearning-dignity-in-care-experiential-and-experimental-educational-approaches
#19
Richard G Kyle, Wayne Medford, Julie Blundell, Elaine Webster, Sarah-Anne Munoz, Leah Macaden
Guarding against loss of human dignity is fundamental to nursing practice. It is assumed in the existing literature that 'dignity' as a concept and 'dignity in care' as a practice is amenable to education. Building on this assumption, a range of experiential and experimental educational approaches have been used to enhance students' understanding of dignity. However, little is known about student nurses' views on whether dignity is amenable to education and, if so, which educational approaches would be welcomed...
May 4, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28500001/exemplar-based-image-and-video-stylization-using-fully-convolutional-semantic-features
#20
Feida Zhu, Zhicheng Yan, Jiajun Bu, Yizhou Yu
Color and tone stylization in images and videos strives to enhance unique themes with artistic color and tone adjustments. It has a broad range of applications from professional image postprocessing to photo sharing over social networks. Mainstream photo enhancement softwares, such as Adobe Lightroom and Instagram, provide users with predefined styles, which are often hand-crafted through a trial-and-error process. Such photo adjustment tools lack a semantic understanding of image contents and the resulting global color transform limits the range of artistic styles it can represent...
May 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
keyword
keyword
73719
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"