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https://www.readbyqxmd.com/read/28934809/ct-and-mri-techniques-for-imaging-around-orthopedic-hardware
#1
Thuy Duong Do, Reto Sutter, Stephan Skornitzke, Marc-André Weber
Orthopedic hardware impairs image quality in cross-sectional imaging. With an increasing number of orthopedic implants in an aging population, the need to mitigate metal artifacts in computed tomography and magnetic resonance imaging is becoming increasingly relevant. This review provides an overview of the major artifacts in CT and MRI and state-of-the-art solutions to improve image quality. All steps of image acquisition from device selection, scan preparations and parameters to image post-processing influence the magnitude of metal artifacts...
September 21, 2017: RöFo: Fortschritte Auf Dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
https://www.readbyqxmd.com/read/28934693/enzyme-classification-using-multiclass-support-vector-machine-and-feature-subset-selection
#2
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/28934632/in-vivo-biomechanical-behavior-of-the-trapeziometacarpal-joint-in-healthy-and-osteoarthritic-subjects
#3
Priscilla D'Agostino, Benjamin Dourthe, Faes Kerkhof, G Harry Van Lenthe, Filip Stockmans, Evie E Vereecke
BACKGROUND: The contact biomechanics of the trapeziometacarpal joint have been investigated in several studies. However, these led to conflicting results and were mostly performed in vitro. The purpose of this study was to provide further insight on the contact biomechanics of the trapeziometacarpal joint by in vivo assessment of healthy and osteoarthritic subjects. METHODS: The hands of 16 healthy women and 6 women with trapeziometacarpal osteoarthritis were scanned in positions of maximal thumb extension, flexion, abduction and adduction during three isometric tasks (lateral key pinch, power grasp and jar twist) and in thumb rest posture (relaxed neutral)...
September 12, 2017: Clinical Biomechanics
https://www.readbyqxmd.com/read/28934506/clip-seq-analysis-of-multi-mapped-reads-discovers-novel-functional-rna-regulatory-sites-in-the-human-transcriptome
#4
Zijun Zhang, Yi Xing
Crosslinking or RNA immunoprecipitation followed by sequencing (CLIP-seq or RIP-seq) allows transcriptome-wide discovery of RNA regulatory sites. As CLIP-seq/RIP-seq reads are short, existing computational tools focus on uniquely mapped reads, while reads mapped to multiple loci are discarded. We present CLAM (CLIP-seq Analysis of Multi-mapped reads). CLAM uses an expectation-maximization algorithm to assign multi-mapped reads and calls peaks combining uniquely and multi-mapped reads. To demonstrate the utility of CLAM, we applied it to a wide range of public CLIP-seq/RIP-seq datasets involving numerous splicing factors, microRNAs and m6A RNA methylation...
September 19, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28934448/cervical-spine-deformity-part-2-management-algorithm-and-anterior-techniques
#5
Lee A Tan, K Daniel Riew, Vincent C Traynelis
A sound operative plan based on solid understanding of the pathology and biomechanics is the most important part of cervical deformity correction. Many different surgical options exist for operative management of cervical spine deformities. However, selecting the correct approach that ensures the optimal clinical outcome can be challenging and often controversial. In Part 2 of this three-part review series, we discuss the pre-operative planning, management algorithm, and anterior surgical techniques for cervical deformity correction...
October 1, 2017: Neurosurgery
https://www.readbyqxmd.com/read/28934302/predicting-couple-therapy-outcomes-based-on-speech-acoustic-features
#6
Md Nasir, Brian Robert Baucom, Panayiotis Georgiou, Shrikanth Narayanan
Automated assessment and prediction of marital outcome in couples therapy is a challenging task but promises to be a potentially useful tool for clinical psychologists. Computational approaches for inferring therapy outcomes using observable behavioral information obtained from conversations between spouses offer objective means for understanding relationship dynamics. In this work, we explore whether the acoustics of the spoken interactions of clinically distressed spouses provide information towards assessment of therapy outcomes...
2017: PloS One
https://www.readbyqxmd.com/read/28934274/desert-soil-clay-content-estimation-using-reflectance-spectroscopy-preprocessed-by-fractional-derivative
#7
Jingzhe Wang, Tashpolat Tiyip, Jianli Ding, Dong Zhang, Wei Liu, Fei Wang, Nigara Tashpolat
Effective pretreatment of spectral reflectance is vital to model accuracy in soil parameter estimation. However, the classic integer derivative has some disadvantages, including spectral information loss and the introduction of high-frequency noise. In this paper, the fractional order derivative algorithm was applied to the pretreatment and partial least squares regression (PLSR) was used to assess the clay content of desert soils. Overall, 103 soil samples were collected from the Ebinur Lake basin in the Xinjiang Uighur Autonomous Region of China, and used as data sets for calibration and validation...
2017: PloS One
https://www.readbyqxmd.com/read/28934272/a-multimodal-logistics-service-network-design-with-time-windows-and-environmental-concerns
#8
Dezhi Zhang, Runzhong He, Shuangyan Li, Zhongwei Wang
The design of a multimodal logistics service network with customer service time windows and environmental costs is an important and challenging issue. Accordingly, this work established a model to minimize the total cost of multimodal logistics service network design with time windows and environmental concerns. The proposed model incorporates CO2 emission costs to determine the optimal transportation mode combinations and investment selections for transfer nodes, which consider transport cost, transport time, carbon emission, and logistics service time window constraints...
2017: PloS One
https://www.readbyqxmd.com/read/28934254/deep-reconstruction-model-for-dynamic-pet-images
#9
Jianan Cui, Xin Liu, Yile Wang, Huafeng Liu
Accurate and robust tomographic reconstruction from dynamic positron emission tomography (PET) acquired data is a difficult problem. Conventional methods, such as the maximum likelihood expectation maximization (MLEM) algorithm for reconstructing the activity distribution-based on individual frames, may lead to inaccurate results due to the checkerboard effect and limitation of photon counts. In this paper, we propose a stacked sparse auto-encoder based reconstruction framework for dynamic PET imaging. The dynamic reconstruction problem is formulated in a deep learning representation, where the encoding layers extract the prototype features, such as edges, so that, in the decoding layers, the reconstructed results are obtained through a combination of those features...
2017: PloS One
https://www.readbyqxmd.com/read/28934220/prediction-of-thermal-conductivity-of-polyvinylpyrrolidone-pvp-electrospun-nanocomposite-fibers-using-artificial-neural-network-and-prey-predator-algorithm
#10
Waseem S Khan, Nawaf N Hamadneh, Waqar A Khan
In this study, multilayer perception neural network (MLPNN) was employed to predict thermal conductivity of PVP electrospun nanocomposite fibers with multiwalled carbon nanotubes (MWCNTs) and Nickel Zinc ferrites [(Ni0.6Zn0.4) Fe2O4]. This is the second attempt on the application of MLPNN with prey predator algorithm for the prediction of thermal conductivity of PVP electrospun nanocomposite fibers. The prey predator algorithm was used to train the neural networks to find the best models. The best models have the minimal of sum squared error between the experimental testing data and the corresponding models results...
2017: PloS One
https://www.readbyqxmd.com/read/28934171/design-and-analysis-of-an-efficient-energy-algorithm-in-wireless-social-sensor-networks
#11
Naixue Xiong, Longzhen Zhang, Wei Zhang, Athanasios V Vasilakos, Muhammad Imran
Because mobile ad hoc networks have characteristics such as lack of center nodes, multi-hop routing and changeable topology, the existing checkpoint technologies for normal mobile networks cannot be applied well to mobile ad hoc networks. Considering the multi-frequency hierarchy structure of ad hoc networks, this paper proposes a hybrid checkpointing strategy which combines the techniques of synchronous checkpointing with asynchronous checkpointing, namely the checkpoints of mobile terminals in the same cluster remain synchronous, and the checkpoints in different clusters remain asynchronous...
September 21, 2017: Sensors
https://www.readbyqxmd.com/read/28934163/a-parameter-communication-optimization-strategy-for-distributed-machine-learning-in-sensors
#12
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/28934102/pose-estimation-of-a-mobile-robot-based-on-fusion-of-imu-data-and-vision-data-using-an-extended-kalman-filter
#13
Mary B Alatise, Gerhard P Hancke
Using a single sensor to determine the pose estimation of a device cannot give accurate results. This paper presents a fusion of an inertial sensor of six degrees of freedom (6-DoF) which comprises the 3-axis of an accelerometer and the 3-axis of a gyroscope, and a vision to determine a low-cost and accurate position for an autonomous mobile robot. For vision, a monocular vision-based object detection algorithm speeded-up robust feature (SURF) and random sample consensus (RANSAC) algorithms were integrated and used to recognize a sample object in several images taken...
September 21, 2017: Sensors
https://www.readbyqxmd.com/read/28934062/manipulating-the-aggregation-activity-of-human-prion-like-proteins
#14
Sean M Cascarina, Kacy R Paul, Eric D Ross
Considerable advances in understanding the protein features favoring prion formation in yeast have facilitated the development of effective yeast prion prediction algorithms. Here we discuss a recent study in which we systematically explored the utility of the yeast prion prediction algorithm PAPA for designing mutations to modulate the aggregation activity of the human prion-like protein hnRNPA2B1. Mutations in hnRNPA2B1 cause multisystem proteinopathy in humans, and accelerate aggregation of the protein in vitro...
September 21, 2017: Prion
https://www.readbyqxmd.com/read/28933962/tool-to-assess-causality-of-direct-and-indirect-adverse-events-associated-with-therapeutic-interventions
#15
Liliane Zorzela, Silvano Mior, Heather Boon, Anita Gross, Jeromy Yager, Rose Carter, Sunita Vohra
OBJECTIVE: To develop and test a tool to assess causality of direct and indirect adverse events associated with therapeutic interventions. The intervention was one or more drugs and/or natural health products, a device, or practice (professional delivering the intervention). METHODS: Through the assessment of causality of adverse events, we can learn about factors contributing to the harm and consider what modification may prevent its reoccurrence. Existing scales (WHO-UMC, Naranjo and Horn) were adapted to develop a tool (algorithm and table) to evaluate cases of serious harmful events reported through a national surveillance study...
September 21, 2017: Current Medical Research and Opinion
https://www.readbyqxmd.com/read/28933947/on-the-safety-of-machine-learning-cyber-physical-systems-decision-sciences-and-data-products
#16
Kush R Varshney, Homa Alemzadeh
Machine learning algorithms increasingly influence our decisions and interact with us in all parts of our daily lives. Therefore, just as we consider the safety of power plants, highways, and a variety of other engineered socio-technical systems, we must also take into account the safety of systems involving machine learning. Heretofore, the definition of safety has not been formalized in a machine learning context. In this article, we do so by defining machine learning safety in terms of risk, epistemic uncertainty, and the harm incurred by unwanted outcomes...
September 2017: Big Data
https://www.readbyqxmd.com/read/28933941/strength-in-numbers-using-big-data-to-simplify-sentiment-classification
#17
Apostolos Filippas, Theodoros Lappas
Sentiment classification, the task of assigning a positive or negative label to a text segment, is a key component of mainstream applications such as reputation monitoring, sentiment summarization, and item recommendation. Even though the performance of sentiment classification methods has steadily improved over time, their ever-increasing complexity renders them comprehensible by only a shrinking minority of expert practitioners. For all others, such highly complex methods are black-box predictors that are hard to tune and even harder to justify to decision makers...
September 2017: Big Data
https://www.readbyqxmd.com/read/28933749/exploiting-concurrent-wake-up-transmissions-using-beat-frequencies
#18
Timo Kumberg, Christian Schindelhauer, Leonhard Reindl
Wake-up receivers are the natural choice for wireless sensor networks because of their ultra-low power consumption and their ability to provide communications on demand. A downside of ultra-low power wake-up receivers is their low sensitivity caused by the passive demodulation of the carrier signal. In this article, we present a novel communication scheme by exploiting purposefully-interfering out-of-tune signals of two or more wireless sensor nodes, which produce the wake-up signal as the beat frequency of superposed carriers...
July 26, 2017: Sensors
https://www.readbyqxmd.com/read/28933707/high-accuracy-automatic-classification-of-parkinsonian-tremor-severity-using-machine-learning-method
#19
Hyoseon Jeon, Woongwoo Lee, Hyeyoung Park, Hong Ji Lee, Sang Kyong Kim, Han Byul Kim, Beomseok Jeon, Kwang Suk Park
Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed. Objective: This study aims to maximize the scientific validity of automatic tremor-severity classification using machine learning algorithms to score Parkinsonian tremor severity in the same manner as the Unified Parkinson's Disease Rating Scale (UPDRS) used to rate scores in real clinical practice...
September 21, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28933661/suppressing-allostery-in-epitope-mapping-experiments-using-millisecond-hydrogen-deuterium-exchange-mass-spectrometry
#20
Bin Deng, Shaolong Zhu, Andrew M Macklin, Jianrong Xu, Cristina Lento, Adnan Sljoka, Derek J Wilson
Localization of the interface between the candidate antibody and its antigen target, commonly known as epitope mapping, is a critical component of the development of therapeutic monoclonal antibodies. With the recent availability of commercial automated systems, hydrogen / deuterium eXchange (HDX) is rapidly becoming the tool for mapping epitopes preferred by researchers in both industry and academia. However, this approach has a significant drawback in that it can be confounded by 'allosteric' structural and dynamic changes that result from the interaction, but occur far from the point(s) of contact...
September 21, 2017: MAbs
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