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https://www.readbyqxmd.com/read/28934693/enzyme-classification-using-multiclass-support-vector-machine-and-feature-subset-selection
#1
Debasmita Pradhan, Sudarsan Padhy, Biswajit Sahoo
Proteins are the macromolecules responsible for almost all biological processes in a cell. With the availability of large number of protein sequences from different sequencing projects, the challenge with the scientist is to characterize their functions. As the wet lab methods are time consuming and expensive, many computational methods such as FASTA, PSI-BLAST, DNA microarray clustering, and Nearest Neighborhood classification on protein-protein interaction network have been proposed. Support vector machine is one such method that has been used successfully for several problems such as protein fold recognition, protein structure prediction etc...
August 31, 2017: Computational Biology and Chemistry
https://www.readbyqxmd.com/read/28934163/a-parameter-communication-optimization-strategy-for-distributed-machine-learning-in-sensors
#2
Jilin Zhang, Hangdi Tu, Yongjian Ren, Jian Wan, Li Zhou, Mingwei Li, Jue Wang, Lifeng Yu, Chang Zhao, Lei Zhang
In order to utilize the distributed characteristic of sensors, distributed machine learning has become the mainstream approach, but the different computing capability of sensors and network delays greatly influence the accuracy and the convergence rate of the machine learning model. Our paper describes a reasonable parameter communication optimization strategy to balance the training overhead and the communication overhead. We extend the fault tolerance of iterative-convergent machine learning algorithms and propose the Dynamic Finite Fault Tolerance (DFFT)...
September 21, 2017: Sensors
https://www.readbyqxmd.com/read/28933746/evaluation-of-novel-dual-acetyl-and-butyrylcholinesterase-inhibitors-as-potential-anti-alzheimer-s-disease-agents-using-pharmacophore-3d-qsar-and-molecular-docking-approaches
#3
Xiaocong Pang, Hui Fu, Shilun Yang, Lin Wang, Ai-Lin Liu, Song Wu, Guan-Hua Du
DL0410, containing biphenyl and piperidine skeletons, was identified as an acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) inhibitor through high-throughput screening assays, and further studies affirmed its efficacy and safety for Alzheimer's disease treatment. In our study, a series of novel DL0410 derivatives were evaluated for inhibitory activities towards AChE and BuChE. Among these derivatives, compounds 6-1 and 7-6 showed stronger AChE and BuChE inhibitory activities than DL0410. Then, pharmacophore modeling and three-dimensional quantitative structure activity relationship (3D-QSAR) models were performed...
July 26, 2017: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/28933508/-skills-lab-training-in-veterinary-medicine-effective-preparation-for-clinical-work-at-the-small-animal-clinic-of-the-university-for-veterinary-medicine-hannover-foundation-effektive-vorbereitung-auf-die-klinische-t%C3%A3-tigkeit-am-beispiel-der-kleintierklinik
#4
Simon Engelskirchen, Jan Ehlers, Ansgar T Kirk, Andrea Tipold, Marc Dilly
OBJECTIVE: During five and a half years of studying veterinary medicine, students should in addition to theoretical knowledge acquire sufficient practical skills. Considering animal welfare and ethical aspects, opportunities for hands-on learning on living animals are limited because of the high annual number of students. The first German veterinary clinical-skills lab, established in 2013 at the University for Veterinary Medicine Hannover, Foundation (TiHo), offers opportunities for all students to learn, train and repeat clinical skills on simulators and models as frequently as they would like, until they feel sufficiently confident to transfer these skills to living animals...
September 20, 2017: Tierärztliche Praxis. Ausgabe K, Kleintiere/Heimtiere
https://www.readbyqxmd.com/read/28932948/analysis-of-the-performance-emission-and-combustion-characteristics-of-a-turbocharged-diesel-engine-fuelled-with-jatropha-curcas-biodiesel-diesel-blends-using-kernel-based-extreme-learning-machine
#5
Arridina Susan Silitonga, Masjuki Haji Hassan, Hwai Chyuan Ong, Fitranto Kusumo
The purpose of this study is to investigate the performance, emission and combustion characteristics of a four-cylinder common-rail turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends. A kernel-based extreme learning machine (KELM) model is developed in this study using MATLAB software in order to predict the performance, combustion and emission characteristics of the engine. To acquire the data for training and testing the KELM model, the engine speed was selected as the input parameter, whereas the performance, exhaust emissions and combustion characteristics were chosen as the output parameters of the KELM model...
September 20, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28931719/innate-colour-preference-individual-learning-and-memory-retention-in-the-ant-camponotus-blandus
#6
Ayse Yilmaz, Adrian G Dyer, Wolfgang Rössler, Johannes Spaethe
Ants are a well-characterized insect model for the study of visual learning and orientation, but the extent to which colour vision is involved in these tasks remains unknown. We investigated the colour preference, learning and memory retention of Camponotus blandus foragers under controlled laboratory conditions. Our results show that C. blandus foragers exhibit a strong innate preference for ultraviolet (UV, 365 nm) over blue (450 nm) and green (528 nm) wavelengths. The ants can learn to discriminate 365 nm from either 528 nm or 450 nm, independent of intensity changes...
September 15, 2017: Journal of Experimental Biology
https://www.readbyqxmd.com/read/28931620/effects-of-physical-activity-on-poststroke-cognitive-function-a-meta-analysis-of-randomized-controlled-trials
#7
Lauren E Oberlin, Aashna M Waiwood, Toby B Cumming, Anna L Marsland, Julie Bernhardt, Kirk I Erickson
BACKGROUND AND PURPOSE: Despite the social, health, and economic burdens associated with cognitive impairment poststroke, there is considerable uncertainty about the types of interventions that might preserve or restore cognitive abilities. The objective of this systematic review and meta-analysis was to evaluate the effects of physical activity (PA) training on cognitive function poststroke and identify intervention and sample characteristics that may moderate treatment effects. METHODS: Randomized controlled trials examining the association between structured PA training and cognitive performance poststroke were identified using electronic databases EMBASE and MEDLINE...
September 20, 2017: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/28931487/nursing-students-perception-of-academic-support-in-the-practicum-development-of-a-reliable-and-valid-measurement-instrument
#8
Juan Arribas-Marín, Vicente Hernández-Franco, Calixto Plumed-Moreno
BACKGROUND: The importance of practicum training in health sciences disciplines places prominence on the academic support received by students in this learning environment, both due to its leverage over their perceived level of satisfaction of academic proficiency as well as its impact on their academic performance. AIM: The aim of this study was to develop and validate a scale which facilitates the evaluation of academic support perceived by nursing students during their practicum...
September 2017: Journal of Professional Nursing: Official Journal of the American Association of Colleges of Nursing
https://www.readbyqxmd.com/read/28931262/assessment-of-the-interrater-reliability-of-the-congress-of-neurological-surgeons-microanastomosis-assessment-scale
#9
Andrew R Pines, Mohammed S Alghoul, Youssef J Hamade, Mithun G Sattur, Rami James N Aoun, Tariq K Halasa, Chandan Krishna, Samer G Zammar, Najib E El Tecle, Tarek Y El Ahmadieh, Salah G Aoun, Richard W Byrne, James S Harrop, Brian T Ragel, Daniel K Resnick, Russell R Lonser, Nathan R Selden, Bernard R Bendok
BACKGROUND: The potential for simulation-based learning in neurosurgical training has led the Congress of Neurosurgical Surgeons to develop a series of simulation modules. The Northwestern Objective Microanastomosis Assessment Tool (NOMAT) was created as the corresponding assessment tool for the Congress of Neurosurgical Surgeons Microanastomosis Module. The face and construct validity of the NOMAT have been previously established. OBJECTIVE: To further validate the NOMAT by determining its interrater reliability (IRR) between raters of varying levels of microsurgical expertise...
February 1, 2017: Operative Neurosurgery (Hagerstown, Md.)
https://www.readbyqxmd.com/read/28931258/simulation-based-education-for-endoscopic-third-ventriculostomy-a-comparison-between-virtual-and-physical-training-models
#10
Gerben E Breimer, Faizal A Haji, Vivek Bodani, Melissa S Cunningham, Adriana-Lucia Lopez-Rios, Allan Okrainec, James M Drake
BACKGROUND: The relative educational benefits of virtual reality (VR) and physical simulation models for endoscopic third ventriculostomy (ETV) have not been evaluated "head to head." OBJECTIVE: To compare and identify the relative utility of a physical and VR ETV simulation model for use in neurosurgical training. METHODS: Twenty-three neurosurgical residents and 3 fellows performed an ETV on both a physical and VR simulation model. Trainees rated the models using 5-point Likert scales evaluating the domains of anatomy, instrument handling, procedural content, and the overall fidelity of the simulation...
February 1, 2017: Operative Neurosurgery (Hagerstown, Md.)
https://www.readbyqxmd.com/read/28930698/2d-and-3d-ct-radiomics-features-prognostic-performance-comparison-in-non-small-cell-lung-cancer
#11
Chen Shen, Zhenyu Liu, Min Guan, Jiangdian Song, Yucheng Lian, Shuo Wang, Zhenchao Tang, Di Dong, Lingfei Kong, Meiyun Wang, Dapeng Shi, Jie Tian
OBJECTIVE: To compare 2D and 3D radiomics features prognostic performance differences in CT images of non-small cell lung cancer (NSCLC). METHOD: We enrolled 588 NSCLC patients from three independent cohorts. Two sets of 463 patients from two different institutes were used as the training cohort. The remaining cohort with 125 patients was set as the validation cohort. A total of 1014 radiomics features (507 2D features and 507 3D features correspondingly) were assessed...
September 17, 2017: Translational Oncology
https://www.readbyqxmd.com/read/28930562/alzheimer-s-disease-diagnostics-by-a-3d-deeply-supervised-adaptable-convolutional-network
#12
Ehsan Hosseini-Asl, Mohammed Ghazal, Ali Mahmoud, Ali Aslantas, Ahmed M Shalaby, Manual F Casanova, Gregory N Barnes, Georgy Gimel'farb, Robert Keynton, Ayman El-Baz
Early diagnosis is playing an important role in preventing progress of the Alzheimer's disease (AD). This paper proposes to improve the prediction of AD with a deep 3D Convolutional Neural Network (3D-CNN), which can show generic features capturing AD biomarkers extracted from brain images, adapt to different domain datasets, and accurately classify subjects with improved fine-tuning method. The 3D-CNN is built upon a convolutional autoencoder, which is pre-trained to capture anatomical shape variations in structural brain MRI scans for source domain...
January 1, 2018: Frontiers in Bioscience (Landmark Edition)
https://www.readbyqxmd.com/read/28930381/intraocular-pressure-and-big-bubble-diameter-in-deep-anterior-lamellar-keratoplasty-an-ex-vivo-microscope-integrated-oct-with-heads-up-display-study
#13
Paramjit K Bhullar, Oscar M Carrasco-Zevallos, Alexandria Dandridge, Neel D Pasricha, Brenton Keller, Liangbo Shen, Joseph A Izatt, Cynthia A Toth, Anthony N Kuo
PURPOSE: To investigate the relationship between intraocular pressure (IOP) and big bubble (BB) formation in a model of deep anterior lamellar keratoplasty (DALK). DESIGN: Ex-vivo. METHODS: Corneoscleral buttons from human donors were loaded onto an artificial anterior chamber connected to a column of balanced salt solution. A surgeon-in-training learned to perform DALK via the BB technique using swept-source microscope-integrated optical coherence tomography (SS-MIOCT) with heads-up display (HUD)...
September 2017: Asia-Pacific Journal of Ophthalmology
https://www.readbyqxmd.com/read/28926232/prediction-errors-of-molecular-machine-learning-models-lower-than-hybrid-dft-error
#14
Felix A Faber, Luke Hutchison, Bing Huang, Justin Gilmer, Samuel S Schoenholz, George E Dahl, Oriol Vinyals, Steven Kearnes, Patrick F Riley, O Anatole von Lilienfeld
We investigate the impact of choosing regres- sors and molecular representations for the construction of fast machine learning (ML) models of thirteen electronic ground-state properties of organic molecules. The performance of each regressor/representation/property combination is assessed using learning curves which report out- of-sample errors as a function of training set size with up to ∼118k distinct molecules. Molecular structures and properties at hybrid density functional theory (DFT) level of theory come from the QM9 database [Ramakrishnan et al, Scientific Data 1 140022 (2014)] and include enthalpies and free energies of atomization , HOMO/LUMO energies and gap, dipole moment, polarizability, zero point vibrational energy, heat capacity and the highest fundamental vibrational frequency...
September 19, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28926007/economics-for-assisting-policy-makers-to-take-decisions-about-new-and-endemic-diseases
#15
T E Carpenter
Animal health policy-makers are frequently faced with making decisions concerning the control and exclusion of diseases in livestock and wildlife populations. Economics is one of the tools they have to aid their decision-making. It can enable them to make objective decisions based on the expected costs and benefits of their policy. In addition, economics can help them determine both the distribution impact and the indirect impact of their decisions. However, economics is only one of many tools available to policy-makers, who also need to consider non-economic outcomes in their decision-making process...
April 2017: Revue Scientifique et Technique
https://www.readbyqxmd.com/read/28922177/project-career-an-individualized-postsecondary-approach-to-promoting-independence-functioning-and-employment-success-among-students-with-traumatic-brain-injuries
#16
Deborah Minton, Eileen Elias, Phillip Rumrill, Deborah J Hendricks, Karen Jacobs, Anne Leopold, Amanda Nardone, Elaine Sampson, Marcia Scherer, Aundrea Gee Cormier, Aiyana Taylor, Caitlin DeLatte
BACKGROUND: Project Career is a five-year interdisciplinary demonstration project funded by NIDILRR. It provides technology-driven supports, merging Cognitive Support Technology (CST) evidence-based practices and rehabilitation counseling, to improve postsecondary and employment outcomes for veteran and civilian undergraduate students with traumatic brain injury (TBI). GOAL: Provide a technology-driven individualized support program to improve career and employment outcomes for students with TBI...
September 14, 2017: Work: a Journal of Prevention, Assessment, and Rehabilitation
https://www.readbyqxmd.com/read/28922127/jointly-learning-structured-analysis-discriminative-dictionary-and-analysis-multiclass-classifier
#17
Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan
In this paper, we propose an analysis mechanism-based structured analysis discriminative dictionary learning (ADDL) framework. The ADDL seamlessly integrates ADDL, analysis representation, and analysis classifier training into a unified model. The applied analysis mechanism can make sure that the learned dictionaries, representations, and linear classifiers over different classes are independent and discriminating as much as possible. The dictionary is obtained by minimizing a reconstruction error and an analytical incoherence promoting term that encourages the subdictionaries associated with different classes to be independent...
September 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28919157/ethyl-acetate-fraction-of-trichilia-catigua-restores-long-term-retrograde-memory-and-reduces-oxidative-stress-and-inflammation-after-global-cerebral-ischemia-in-rats
#18
Jacqueline Godinho, Rúbia Maria Weffort de Oliveira, Anacharis Babeto de Sa-Nakanishi, Cristiano Correia Bacarin, Claudia Hitomi Huzita, Renata Longhini, João Carlos P Mello, Celso Vataru Nakamura, Isolde Santos Previdelli, Matheus Henrique Dal Molin Ribeiro, Humberto Milani
We originally reported that an ethyl-acetate fraction (EAF) of Trichilia catigua prevented the impairment of water maze learning and hippocampal neurodegeneration after transient global cerebral (TGCI) in mice. We extended that previous study by evaluating whether T. catigua (i) prevents the loss of long-term retrograde memory assessed in the aversive radial maze (AvRM), (ii) confers hippocampal and cortical neuroprotection, and (iii) mitigates oxidative stress and neuroinflammation in rats that are subjected to the four vessel occlusion (4-VO) model of TGCI...
September 14, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/28918810/progress-in-endoscopic-ultrasonography-training-in-therapeutic-or-interventional-endoscopic-ultrasonography
#19
REVIEW
Monica Saumoy, Michel Kahaleh
Therapeutic endoscopic ultrasound is a rapidly expanding field, requiring training beyond the 3-year gastroenterology fellowship and at least an additional year in a structured advanced endoscopy fellowship program with mentorship from an expert at a sufficiently high-volume center. Simulation models can provide initial instruction on technique and increase familiarity with the rapidly changing devices. Trainees must also be given a graduated level of independence to perform each step and, eventually, be able to practice on a variety of endoscopic targets...
October 2017: Gastrointestinal Endoscopy Clinics of North America
https://www.readbyqxmd.com/read/28917798/perception-of-olive-oils-sensory-defects-using-a-potentiometric-taste-device
#20
Ana C A Veloso, Lucas M Silva, Nuno Rodrigues, Ligia P G Rebello, Luís G Dias, José A Pereira, António M Peres
The capability of perceiving olive oils sensory defects and intensities plays a key role on olive oils quality grade classification since olive oils can only be classified as extra-virgin if no defect can be perceived by a human trained sensory panel. Otherwise, olive oils may be classified as virgin or lampante depending on the median intensity of the defect predominantly perceived and on the physicochemical levels. However, sensory analysis is time-consuming and requires an official sensory panel, which can only evaluate a low number of samples per day...
January 1, 2018: Talanta
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