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https://www.readbyqxmd.com/read/27918270/interaction-of-inhibitory-and-facilitatory-effects-of-conditioning-trials-on-long-term-memory-formation
#1
Shouhei Hosono, Yukihisa Matsumoto, Makoto Mizunami
Animals learn through experience and consolidate the memories into long-time storage. Conditioning parameters to induce protein synthesis-dependent long-term memory (LTM) have been the subject of extensive studies in many animals. Here we found a case in which a conditioning trial inhibits or facilitates LTM formation depending on the intervals from preceding trials. We studied the effects of conditioning parameters on LTM formation in olfactory conditioning of maxillary-palpi extension response with sucrose reward in the cockroach Periplaneta americana We found, at first, that translation- and transcription-dependent LTM forms 1 h after training, the fastest so far reported in insects...
December 2016: Learning & Memory
https://www.readbyqxmd.com/read/27917980/diversity-in-livestock-resources-in-pastoral-systems-in-africa
#2
B A Kaufmann, M A Lelea, C G Hulsebusch
Pastoral systems are important producers and repositories of livestock diversity. Pastoralists use variability in their livestock resources to manage high levels of environmental variability in economically advantageous ways. In pastoral systems, human-animal-environment interactions are the basis of production and the key to higher productivity and efficiency. In other words, pastoralists manage a production system that exploits variability and keeps production costs low. When differentiating, characterising and evaluating pastoral breeds, this context-specific, functional dimension of diversity in livestock resources needs to be considered...
November 2016: Revue Scientifique et Technique
https://www.readbyqxmd.com/read/27917564/mind-the-gap-in-clinical-trials-a-participatory-action-analysis-with-citizen-collaborators
#3
Amy Price, Su May Liew, Jo Kirkpatrick, Jazmin Price, Taylor Lopreto, Yasmin Nelken
What are the strengths, gaps, expectations, and barriers to research engagement in clinical trials as communicated through social media? Clinical trials test treatments to provide reliable information for safety and effectiveness. Trials are building blocks in which what is learned in earlier research can be used to improve treatments, compare alternatives, and improve quality of life. For 20 years, the percentages of clinical trials volunteers have decreased whereas the costs of running clinical trials have multiplied...
December 4, 2016: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/27913366/deepr-a-convolutional-net-for-medical-records
#4
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deepr (short for Deep record), a new end-to-end deep learning system that learns to extract features from medical records and predicts future risk automatically. Deepr transforms a record into a sequence of discrete elements separated by coded time gaps and hospital transfers...
December 1, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27911808/exploration-of-joint-redundancy-but-not-task-space-variability-facilitates-supervised-motor-learning
#5
Puneet Singh, Sumitash Jana, Ashitava Ghosal, Aditya Murthy
The number of joints and muscles in a human arm is more than what is required for reaching to a desired point in 3D space. Although previous studies have emphasized how such redundancy and the associated flexibility may play an important role in path planning, control of noise, and optimization of motion, whether and how redundancy might promote motor learning has not been investigated. In this work, we quantify redundancy space and investigate its significance and effect on motor learning. We propose that a larger redundancy space leads to faster learning across subjects...
November 29, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27911322/shape-attributes-of-brain-structures-as-biomarkers-for-alzheimer-s-disease
#6
Tanya Glozman, Justin Solomon, Franco Pestilli, Leonidas Guibas
We describe a fully automatic framework for classification of two types of dementia based on the differences in the shape of brain structures. We consider Alzheimer's disease (AD), mild cognitive impairment of individuals who converted to AD within 18 months (MCIc), and normal controls (NC). Our approach uses statistical learning and a feature space consisting of projection-based shape descriptors, allowing for canonical representation of brain regions. Our framework automatically identifies the structures most affected by the disease...
November 26, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27910933/learning-by-association-in-plants
#7
Monica Gagliano, Vladyslav V Vyazovskiy, Alexander A Borbély, Mavra Grimonprez, Martial Depczynski
In complex and ever-changing environments, resources such as food are often scarce and unevenly distributed in space and time. Therefore, utilizing external cues to locate and remember high-quality sources allows more efficient foraging, thus increasing chances for survival. Associations between environmental cues and food are readily formed because of the tangible benefits they confer. While examples of the key role they play in shaping foraging behaviours are widespread in the animal world, the possibility that plants are also able to acquire learned associations to guide their foraging behaviour has never been demonstrated...
December 2, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27910447/design-of-the-polar-neutron-imaging-aperture-for-use-at-the-national-ignition-facility
#8
V E Fatherley, D A Barker, D N Fittinghoff, R L Hibbard, J I Martinez, F E Merrill, J A Oertel, D W Schmidt, P L Volegov, C H Wilde
The installation of a neutron imaging diagnostic with a polar view at the National Ignition Facility (NIF) required design of a new aperture, an extended pinhole array (PHA). This PHA is different from the pinhole array for the existing equatorial system due to significant changes in the alignment and recording systems. The complex set of component requirements, as well as significant space constraints in its intended location, makes the design of this aperture challenging. In addition, lessons learned from development of prior apertures mandate careful aperture metrology prior to first use...
November 2016: Review of Scientific Instruments
https://www.readbyqxmd.com/read/27909018/does-the-room-matter-active-learning-in-traditional-and-enhanced-lecture-spaces
#9
Jon R Stoltzfus, Julie Libarkin
SCALE-UP-type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well documented, both in traditional lecture halls and SCALE-UP-type classrooms. However, few studies have carefully analyzed student outcomes when comparable active learning-based instruction takes place in a traditional lecture hall and a SCALE-UP-type classroom...
2016: CBE Life Sciences Education
https://www.readbyqxmd.com/read/27908158/similarity-measurement-of-lung-masses-for-medical-image-retrieval-using-kernel-based-semisupervised-distance-metric
#10
Guohui Wei, He Ma, Wei Qian, Min Qiu
PURPOSE: To develop a new algorithm to measure the similarity between the query lung mass and reference lung mass data set for content-based medical image retrieval (CBMIR). METHODS: A lung mass data set including 746 mass regions of interest (ROIs) was assembled. Among them, 375 ROIs depicted malignant lesions and 371 depicted benign lesions. Each mass ROI is represented by a vector of 26 texture features. A kernel function was employed to map the original data in input space to a feature space...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27898305/view-aligned-hypergraph-learning-for-alzheimer-s-disease-diagnosis-with-incomplete-multi-modality-data
#11
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
Effectively utilizing incomplete multi-modality data for the diagnosis of Alzheimer's disease (AD) and its prodrome (i.e., mild cognitive impairment, MCI) remains an active area of research. Several multi-view learning methods have been recently developed for AD/MCI diagnosis by using incomplete multi-modality data, with each view corresponding to a specific modality or a combination of several modalities. However, existing methods usually ignore the underlying coherence among views, which may lead to sub-optimal learning performance...
November 16, 2016: Medical Image Analysis
https://www.readbyqxmd.com/read/27896969/reproducible-drug-repurposing-when-similarity-does-not-suffice
#12
Emre Guney
Repurposing existing drugs for new uses has attracted considerable attention over the past years. To identify potential candidates that could be repositioned for a new indication, many studies make use of chemical, target, and side effect similarity between drugs to train classifiers. Despite promising prediction accuracies of these supervised computational models, their use in practice, such as for rare diseases, is hindered by the assumption that there are already known and similar drugs for a given condition of interest...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27895550/closed-loop-task-difficulty-adaptation-during-virtual-reality-reach-to-grasp-training-assisted-with-an-exoskeleton-for-stroke-rehabilitation
#13
Florian Grimm, Georgios Naros, Alireza Gharabaghi
Stroke patients with severe motor deficits of the upper extremity may practice rehabilitation exercises with the assistance of a multi-joint exoskeleton. Although this technology enables intensive task-oriented training, it may also lead to slacking when the assistance is too supportive. Preserving the engagement of the patients while providing "assistance-as-needed" during the exercises, therefore remains an ongoing challenge. We applied a commercially available seven degree-of-freedom arm exoskeleton to provide passive gravity compensation during task-oriented training in a virtual environment...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27893391/robust-transfer-metric-learning-for-image-classification
#14
Zhengming Ding, Yun Fu
Metric learning has attracted increasing attention due to its critical role in image analysis and classification. Conventional metric learning always assumes the training and test data are sampled from the same or similar distribution. However, to build an effective distance metric, we need abundant supervised knowledge (i.e., side/label information), which is generally inaccessible in practice because of the expensive labeling cost. In this paper, we develop a Robust Transfer Metric Learning (RTML) framework to effectively assist the unlabeled target learning by transferring the knowledge from the well-labeled source domain...
November 22, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27889431/multiclass-cancer-classification-using-a-feature-subset-based-ensemble-from-microrna-expression-profiles
#15
Yongjun Piao, Minghao Piao, Keun Ho Ryu
Cancer classification has been a crucial topic of research in cancer treatment. In the last decade, messenger RNA (mRNA) expression profiles have been widely used to classify different types of cancers. With the discovery of a new class of small non-coding RNAs; known as microRNAs (miRNAs), various studies have shown that the expression patterns of miRNA can also accurately classify human cancers. Therefore, there is a great demand for the development of machine learning approaches to accurately classify various types of cancers using miRNA expression data...
November 21, 2016: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/27889258/unilateral-collaboration-the-practices-and-understandings-of-traditional-birth-attendants-in-southeastern-nigeria
#16
Magdalena Ohaja, Jo Murphy-Lawless
BACKGROUND: Despite the promotion of hospital-based maternity care as the safest option, for less developed countries, many women particularly those in the rural areas continue to patronise indigenous midwives or traditional birth attendants. Little is known about traditional birth attendants' perspectives regarding their pregnancy and birth practices. AIM: To explore traditional birth attendants' discourses of their pregnancy and birthing practices in southeast Nigeria...
November 23, 2016: Women and Birth: Journal of the Australian College of Midwives
https://www.readbyqxmd.com/read/27888942/lessons-learned-from-two-decades-of-patient-and-family-centered-care-in-radiology-part-2-building-a-culture
#17
James V Rawson, Layne Mitchell, Lewis Golden, Alisa Murdock, G Rebecca Haines
As reimbursements are increasingly linked to patient experience, physicians and hospitals will need to find ways to incorporate patient and family input into operational decisions. Rather than starting from the beginning, health systems could learn from practitioners who have been experimenting in this space and are willing to share their experience. The authors share lessons learned from two decades of experience incorporating patient and family advisers into the clinical operation of a radiology department and the resulting culture change...
December 2016: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/27888280/an-effective-new-intestinal-anastomosis-method
#18
Libin Yao, Chao Li, Xiaocheng Zhu, Yong Shao, Song Meng, Linsen Shi, Hui Wang
BACKGROUND This study aimed to establish an easy, safe, and cost-saving intestinal anastomotic method. MATERIAL AND METHODS Between January 2014 and February 2016, a total of 150 patients with gastric cancer who underwent surgery in the Department of General Surgery of Xuzhou Medical University Affiliated Hospital were divided into 2 groups: the treatment group (80) using new hand-sewn anastomoses, and the control group (70) using stapled anastomoses. Briefly, a new hand-sewn anastomosis of continuous suture without inversion was performed, with the first layer encompassing the entire layer of the intestinal wall...
November 26, 2016: Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
https://www.readbyqxmd.com/read/27878873/the-effects-of-spaced-retrieval-training-in-improving-hyperphagia-of-people-living-with-dementia-in-residential-settings
#19
Chia-Ning Hsu, Li-Chan Lin, Shiao-Chi Wu
AIMS AND OBJECTIVES: To investigate the effectiveness of spaced retrieval for improving hyperphagia in patients with dementia in residential care settings. BACKGROUND: Although 10-30% of patients with dementia have hyperphagia, most studies have focused on eating difficulties. Only a few studies have focused on hyperphagia. Various memory problems cause hyperphagia in patients with dementia. Spaced retrieval (SR), a cognitive technique for information learning, can be used as a training method to improve memory loss...
November 22, 2016: Journal of Clinical Nursing
https://www.readbyqxmd.com/read/27875172/booc-io-an-education-system-with-hierarchical-concept-maps-and-dynamic-non-linear-learning-plans
#20
Michail Schwab, Hendrik Strobelt, James Tompkin, Colin Fredericks, Connor Huff, Dana Higgins, Anton Strezhnev, Mayya Komisarchik, Gary King, Hanspeter Pfister
Information hierarchies are difficult to express when real-world space or time constraints force traversing the hierarchy in linear presentations, such as in educational books and classroom courses. We present booc.io, which allows linear and non-linear presentation and navigation of educational concepts and material. To support a breadth of material for each concept, booc.io is Web based, which allows adding material such as lecture slides, book chapters, videos, and LTIs. A visual interface assists the creation of the needed hierarchical structures...
January 2017: IEEE Transactions on Visualization and Computer Graphics
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