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https://www.readbyqxmd.com/read/27913293/differential-role-of-calpain-dependent-protein-cleavage-in-intermediate-and-long-term-operant-memory-in-aplysia
#1
Lisa C Lyons, Jacob S Gardner, Cassidy T Lentsch, Catherine E Gandour, Harini C Krishnan, Eric J Noakes
In addition to protein synthesis, protein degradation or protein cleavage may be necessary for intermediate (ITM) and long-term memory (LTM) to remove molecular constraints, facilitate persistent kinase activity and modulate synaptic plasticity. Calpains, a family of conserved calcium dependent cysteine proteases, modulate synaptic function through protein cleavage. We used the marine mollusk Aplysia californica to investigate the in vivo role of calpains during intermediate and long-term operant memory formation using the learning that food is inedible (LFI) paradigm...
November 29, 2016: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/27913207/overexpression-of-stim1-in-neurons-in-mouse-brain-improves-contextual-learning-and-impairs-long-term-depression
#2
Łukasz Majewski, Filip Maciąg, Paweł M Boguszewski, Iga Wasilewska, Grzegorz Wiera, Tomasz Wójtowicz, Jerzy Mozrzymas, Jacek Kuznicki
STIM1 is an endoplasmic reticulum calcium sensor that is involved in several processes in neurons, including store-operated calcium entry. STIM1 also inhibits voltage-gated calcium channels, such as Cav1.2 and Cav3.1, and is thus considered a multifunctional protein. The aim of this work was to investigate the ways in which transgenic neuronal overexpression of STIM1 in FVB/NJ mice affects animal behavior and the electrophysiological properties of neurons in acute hippocampal slices. We overexpressed STIM1 from the Thy1...
November 29, 2016: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/27912783/exploring-levers-and-barriers-to-accessing-primary-care-for-marginalised-groups-and-identifying-their-priorities-for-primary-care-provision-a-participatory-learning-and-action-research-study
#3
Patrick O'Donnell, Edel Tierney, Austin O'Carroll, Diane Nurse, Anne MacFarlane
BACKGROUND: The involvement of patients and the public in healthcare has grown significantly in recent decades and is documented in health policy documents internationally. Many benefits of involving these groups in primary care planning have been reported. However, these benefits are rarely felt by those considered marginalised in society and they are often excluded from participating in the process of planning primary care. It has been recommended to employ suitable approaches, such as co-operative and participatory initiatives, to enable marginalised groups to highlight their priorities for care...
December 3, 2016: International Journal for Equity in Health
https://www.readbyqxmd.com/read/27909613/the-novel-laparoscopic-training-3d-model-in-urology-with-surgical-anatomic-remarks-fresh-frozen-cadaveric-tissue
#4
REVIEW
Emre Huri, Mehmet Ezer, Eddie Chan
Laparoscopic surgery is routinely used to treat many urological conditions and it is the gold standard treatment option for many surgeries such as radical nephrectomy. Due to the difficulty of learning, laparoscopic training should start outside the operating room. Although it is a very different model of laparoscopic training; the aim of this review is to show the value of human cadaveric model for laparoscopic training and present our experience in this area. Fresh frozen cadaveric model in laparoscopic training, dry lab, cadaveric model, animal models and computer based simulators are the most commonly used models for laparoscopic training...
December 2016: Turkish Journal of Urology
https://www.readbyqxmd.com/read/27909568/implementation-of-minimal-invasive-gynaecological-surgery-certification-will-challenge-gynaecologists-with-new-legal-and-ethical-issues
#5
V Tanos, R Socolov, P Demetriou, M Kyprianou, A Watrelot, Y Van Belle, R Campo
The introduction of a certification / diploma program in Minimal Invasive Surgery (MIS) is expected to improve surgical performance, patient's safety and outcome. The Gynaecological Endoscopic Surgical Education and Assessment programme (GESEA) and the ESHRE Certification for Reproductive Endoscopic Surgery (ECRES) provides a structured learning path, recognising different pillars of competence. In order to achieve a high level of competence a two steps validation is necessary: (a) the individual should be certified of having the appropriate theoretical knowledge and (b) the endoscopic psychomotor skills before entering in the diploma programme reflecting the surgical competence...
June 27, 2016: Facts, Views & Vision in ObGyn
https://www.readbyqxmd.com/read/27909405/classifying-cognitive-profiles-using-machine-learning-with-privileged-information-in-mild-cognitive-impairment
#6
Hanin H Alahmadi, Yuan Shen, Shereen Fouad, Caroline Di B Luft, Peter Bentham, Zoe Kourtzi, Peter Tino
Early diagnosis of dementia is critical for assessing disease progression and potential treatment. State-or-the-art machine learning techniques have been increasingly employed to take on this diagnostic task. In this study, we employed Generalized Matrix Learning Vector Quantization (GMLVQ) classifiers to discriminate patients with Mild Cognitive Impairment (MCI) from healthy controls based on their cognitive skills. Further, we adopted a "Learning with privileged information" approach to combine cognitive and fMRI data for the classification task...
2016: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/27908171/automated-detection-of-white-matter-hyperintensities-of-all-sizes-in-cerebral-small-vessel-disease
#7
Mohsen Ghafoorian, Nico Karssemeijer, Inge W M van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel
PURPOSE: White matter hyperintensities (WMH) are seen on FLAIR-MRI in several neurological disorders, including multiple sclerosis, dementia, Parkinsonism, stroke and cerebral small vessel disease (SVD). WMHs are often used as biomarkers for prognosis or disease progression in these diseases, and additionally longitudinal quantification of WMHs is used to evaluate therapeutic strategies. Human readers show considerable disagreement and inconsistency on detection of small lesions. A multitude of automated detection algorithms for WMHs exists, but since most of the current automated approaches are tuned to optimize segmentation performance according to Jaccard or Dice scores, smaller WMHs often go undetected in these approaches...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908167/computer-aided-prognosis-for-cell-death-categorization-and-prediction-in-vivo-using-quantitative-ultrasound-and-machine-learning-techniques
#8
M J Gangeh, A Hashim, A Giles, L Sannachi, G J Czarnota
PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging-based clinical standard for the early assessment and monitoring of cancer treatment response. Here, the authors have developed, for the first time, a complete computer-aided-prognosis (CAP) system based on multiparametric quantitative ultrasound (QUS) spectroscopy methods in association with texture descriptors and advanced machine learning techniques...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27906942/lower-learning-difficulty-and-fluoroscopy-reduction-of-transforaminal-percutaneous-endoscopic-lumbar-discectomy-with-an-accurate-preoperative-location-method
#9
Guoxin Fan, Xin Gu, Yifan Liu, Xinbo Wu, Hailong Zhang, Guangfei Gu, Xiaofei Guan, Shisheng He
BACKGROUND: Transforaminal percutaneous endoscopic lumbar discectomy (tPELD) poses great challenges for junior surgeons. Beginners often require repeated attempts using fluoroscopy causing more punctures, which may significantly undermine their confidence and increase the radiation exposure to medical staff and patients. Moreover, the impact of an accurate location on the learning curve of tPELD has not been defined. OBJECTIVE: The study aimed to investigate the impact of an accurate preoperative location method on learning difficulty and fluoroscopy time of tPELD...
November 2016: Pain Physician
https://www.readbyqxmd.com/read/27906526/statistical-learning-a-powerful-mechanism-that-operates-by-mere-exposure
#10
REVIEW
Richard N Aslin
How do infants learn so rapidly and with little apparent effort? In 1996, Saffran, Aslin, and Newport reported that 8-month-old human infants could learn the underlying temporal structure of a stream of speech syllables after only 2 min of passive listening. This demonstration of what was called statistical learning, involving no instruction, reinforcement, or feedback, led to dozens of confirmations of this powerful mechanism of implicit learning in a variety of modalities, domains, and species. These findings reveal that infants are not nearly as dependent on explicit forms of instruction as we might have assumed from studies of learning in which children or adults are taught facts such as math or problem solving skills...
December 1, 2016: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/27906156/biomimetic-sniffing-improves-the-detection-performance-of-a-3d-printed-nose-of-a-dog-and-a-commercial-trace-vapor-detector
#11
Matthew E Staymates, William A MacCrehan, Jessica L Staymates, Roderick R Kunz, Thomas Mendum, Ta-Hsuan Ong, Geoffrey Geurtsen, Greg J Gillen, Brent A Craven
Unlike current chemical trace detection technology, dogs actively sniff to acquire an odor sample. Flow visualization experiments with an anatomically-similar 3D printed dog's nose revealed the external aerodynamics during canine sniffing, where ventral-laterally expired air jets entrain odorant-laden air toward the nose, thereby extending the "aerodynamic reach" for inspiration of otherwise inaccessible odors. Chemical sampling and detection experiments quantified two modes of operation with the artificial nose-active sniffing and continuous inspiration-and demonstrated an increase in odorant detection by a factor of up to 18 for active sniffing...
December 1, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27905893/computational-prediction-of-multidisciplinary-team-decision-making-for-adjuvant-breast-cancer-drug-therapies-a-machine-learning-approach
#12
Frank P Y Lin, Adrian Pokorny, Christina Teng, Rachel Dear, Richard J Epstein
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decisions about adjuvant breast cancer treatments. METHODS: We analysed MDT decisions regarding adjuvant systemic therapy for 1065 breast cancer cases over eight years. Machine learning classifiers with and without bootstrap aggregation were correlated with MDT decisions (recommended, not recommended, or discussable) regarding adjuvant cytotoxic, endocrine and biologic/targeted therapies, then tested for predictability using stratified ten-fold cross-validations...
December 1, 2016: BMC Cancer
https://www.readbyqxmd.com/read/27905690/learning-curve-in-fenestrated-and-branched-grafting
#13
Teresa Martin-Gonzalez, Tara M Mastracci
In surgical practice new technologies and techniques require a period of adjustment before the main operator becomes familiar with the new procedure, improving the results and the performances. This period, called learning curve, could be applied into the endovascular aortic treatment. The CUSUM technique had been used to define the learning curve in new procedures and through the literature some studies applied it to demonstrate the improving outcomes in complex endovascular aneurysm repair during increasing experience time...
December 1, 2016: Journal of Cardiovascular Surgery
https://www.readbyqxmd.com/read/27904994/rapamycin-protects-sepsis-induced-cognitive-impairment-in-mouse-hippocampus-by-enhancing-autophagy
#14
Wenyu Liu, Jia'nan Guo, Jie Mu, Linyu Tian, Dong Zhou
The purpose of this study is to test the hypothesis that the mammalian target of rapamycin (mTOR) signaling pathway might mediate neuroprotection in a mouse model of septic encephalopathy and also to identify the role of autophagy. Mice were subjected to cecal ligation and puncture (CLP) or a sham operation, and all 50 mice were randomly assigned to five groups: sham, CLP+ saline, CLP+ rapamycin (1, 5, 10 mg/kg) groups. Two weeks after the operation, Morris water maze was conducted for behavioral test; Nissl staining was used for observing glia infiltration; immunohistochemical staining and biochemical measures in hippocampi were performed to detect mTOR targets and autophagy indicators...
December 1, 2016: Cellular and Molecular Neurobiology
https://www.readbyqxmd.com/read/27904221/what-have-we-learned-from-100-success-of-press-fit-condylar-rotating-platform-posterior-stabilized-knees-a-5-10-years-followup-by-a-nondesigner
#15
Shrinand V Vaidya, Siddharth Virani, Rajendra Phunde, Abhishek Mahajan
BACKGROUND: Total joint arthroplasties of the hip and knee represent a remarkable feat of modern medicine in terms of reducing pain and restoring function to millions of patients afflicted with severe arthritis. Oftentimes, the performance and longevity of new implants and devices are based on limited data. This is the first study by a non-designer on the press fit condylar rotating platform posterior stabilized (PFC-RP-PS) design with 100' success. This has a relevance, vis-á -vis bias that one may have in terms of reproducibility of technique and funding from the manufacturer...
November 2016: Indian Journal of Orthopaedics
https://www.readbyqxmd.com/read/27903707/formation-of-long-term-locomotor-memories-is-associated-with-functional-connectivity-changes-in-the-cerebellar-thalamic-cortical-network
#16
Firas Mawase, Simona Bar-Haim, Lior Shmuelof
: Although motor adaptation is typically rapid, accumulating evidence shows that it is also associated with long-lasting behavioural and neuronal changes. Two processes were suggested to explain the formation of long-term motor memories: recall -- reflecting a retrieval of previous motor actions, and faster relearning -- reflecting an increased sensitivity to errors. While these manifestations of motor memories were initially demonstrated in the context of adaptation experiments in reaching, indications of long-term motor memories were also recently demonstrated in other kinds of adaptation, such as in locomotor adaptation...
November 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#17
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27903119/the-learning-curve-in-endoscopic-endonasal-resection-of-craniopharyngiomas
#18
Varun R Kshettry, Hyunwoo Do, Khaled Elshazly, Christopher J Farrell, Gurston Nyquist, Marc Rosen, James J Evans
OBJECTIVE There is a paucity of literature regarding the learning curve associated with performing endoscopic endonasal cranial base surgery. The purpose of this study was to determine to what extent a learning curve might exist for endoscopic endonasal resection in cases of craniopharyngiomas. METHODS A retrospective review was performed for all endoscopic endonasal craniopharyngioma resections performed at Thomas Jefferson University from 2005 to 2015. To assess for a learning curve effect, patients were divided into an early cohort (2005-2009, n = 20) and a late cohort (2010-2015, n = 23)...
December 2016: Neurosurgical Focus
https://www.readbyqxmd.com/read/27898976/development-and-validation-of-a-deep-learning-algorithm-for-detection-of-diabetic-retinopathy-in-retinal-fundus-photographs
#19
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip C Nelson, Jessica L Mega, Dale R Webster
Importance: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation. Objective: To apply deep learning to create an algorithm for automated detection of diabetic retinopathy and diabetic macular edema in retinal fundus photographs...
November 29, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27898306/dcan-deep-contour-aware-networks-for-object-instance-segmentation-from-histology-images
#20
Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng
In histopathological image analysis, the morphology of histological structures, such as glands and nuclei, has been routinely adopted by pathologists to assess the malignancy degree of adenocarcinomas. Accurate detection and segmentation of these objects of interest from histology images is an essential prerequisite to obtain reliable morphological statistics for quantitative diagnosis. While manual annotation is error-prone, time-consuming and operator-dependant, automated detection and segmentation of objects of interest from histology images can be very challenging due to the large appearance variation, existence of strong mimics, and serious degeneration of histological structures...
November 16, 2016: Medical Image Analysis
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