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Simone Cristoni, Guglielmo Dusi, Paolo Brambilla, Adriana Albini, Matteo Conti, Maura Brambilla, Antonino Bruno, Francesca Digaudio, Luca Ferlin, Valeria Tazzari, Silvia Mengozzi, Simone Barera, Carlos Salier, Tommaso Trenti, Marco Cantu, Luigi Rossi Bernardi, Douglas M Noonan
Electrospray Ionization (EI) and Collision Induced Dissociation tandem mass spectrometry (CID-MS/MS) are usually employed to obtain compound identification through a mass spectra match. Different algorithms have been developed for this purpose (for example the NIST match algorithm). These approaches compare the tandem mass spectra (MS/MS) of the unknown analyte with the MS/MS spectra of known compounds inserted in a database. The compounds are usually identified on the basis of spectral match value associated with a probability of recognition...
October 24, 2016: Journal of Mass Spectrometry: JMS
Cole R Drifka, Agnes G Loeffler, Kara Mathewson, Adib Keikhosravi, Jens C Eickhoff, Yuming Liu, Sharon M Weber, W John Kao, Kevin W Eliceiri
Risk factors for pancreatic ductal adenocarcinoma (PDAC) progression after surgery are unclear, and additional prognostic factors are needed to inform treatment regimens and therapeutic targets. PDAC is characterized by advanced sclerosis of the extracellular matrix, and interactions between cancer cells, fibrillar collagen, and other stromal components play an integral role in progression. Changes in stromal collagen alignment have been shown to modulate cancer cell behavior and have important clinical value in other cancer types, but little is known about its role in PDAC and prognostic value...
October 20, 2016: Oncotarget
Tetsuya Nishimoto, Kosuke Mukaigawa, Shigeru Tominaga, Nils Lubbe, Toru Kiuchi, Tomokazu Motomura, Hisashi Matsumoto
The present study was undertaken to construct an algorithm for an advanced automatic collision notification system based on national traffic accident data compiled by Japanese police. While US research into the development of a serious-injury prediction algorithm is based on a logistic regression algorithm using the National Automotive Sampling System/Crashworthiness Data System, the present injury prediction algorithm was based on comprehensive police data covering all accidents that occurred across Japan...
October 21, 2016: Accident; Analysis and Prevention
Claudio Ricci, Riccardo Casadei, Giovanni Taffurelli, Elia Zani, Nico Pagano, Carlo Alberto Pacilio, Carlo Ingaldi, Selene Bogoni, Donatella Santini, Marina Migliori, Mariacristina Di Marco, Carla Serra, Lucia Calculli, Roberto De Giorgio, Francesco Minni
OBJECTIVES: This study aimed to evaluate the accuracy of the risk factors proposed by Fukuoka guidelines in detecting malignancy of branch-duct intraductal papillary mucinous neoplasms. METHOD: Diagnostic meta-analysis of cohort studies. A systematic literature search was conducted using MEDLINE, the Cochrane Library, Scopus, and the ISI-Web of Science databases to identify all studies published up to 2014. RESULTS: Twenty-five studies (2025 patients) were suitable for the meta-analysis...
October 2016: Pancreas
Jasper L A Vleugels, Joep E G IJspeert, Yark Hazewinkel, Manon van der Vlugt, Paul Fockens, Lianne Koens, Evelien Dekker
BACKGROUND: Optical diagnosis of diminutive (1 to 5 mm) polyps could result in a more cost-effective colonoscopy practice. Previous optical diagnosis studies did not incorporate the differentiation of sessile serrated polyps (SSPs). This study aimed to evaluate the impact of optical diagnosis of diminutive SSPs on the overall performance of endoscopic polyp differentiation in daily colonoscopy practice. METHODS: Endoscopy data were prospectively collected between 2011 and 2014 in a colonoscopy center...
October 21, 2016: Journal of Clinical Gastroenterology
Kaien Liu, Zhijian Ji, Wei Ren
The consensus problem for second-order multiagent systems with absolute velocity damping under directed topologies is investigated. In contrast to the existing results, which rely on a sufficiently large common absolute velocity damping gain above a lower bound dependent on global information, this paper focuses on novel algorithms to overcome this limitation. A novel consensus algorithm, where different agents use different absolute velocity damping gains, is first proposed. In the absence of delays, based on a system transformation method, the consensus problem for second-order multiagent systems is converted into that for first-order multiagent systems with the agent number doubled...
October 21, 2016: IEEE Transactions on Cybernetics
Duy Dao, S M A Salehizadeh, Yeon Noj, Jo Woon Chong, Chae Cho, Dave Mcmanus, Chad E Darling, Yitzhak Mendelson, Ki H Chon
Motion and noise artifacts (MNAs) impose limits on the usability of the photoplethysmogram (PPG), particularly in the context of ambulatory monitoring. MNAs can distort PPG, causing erroneous estimation of physiological parameters such as heart rate (HR) and arterial oxygen saturation (SpO2). In this study we present a novel approach, "TifMA," based on using the Time-frequency spectrum of PPG to first detect the MNA-corrupted data and next discard the non-usable part of the corrupted data. The term "non-usable" refers to segments of PPG data from which the HR signal cannot be recovered accurately...
October 21, 2016: IEEE Journal of Biomedical and Health Informatics
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed-Mouchaweh
Active learning (AL) is a promising way to efficiently build up training sets with minimal supervision. A learner deliberately queries specific instances to tune the classifier's model using as few labels as possible. The challenge for streaming is that the data distribution may evolve over time, and therefore the model must adapt. Another challenge is the sampling bias where the sampled training set does not reflect the underlying data distribution. In the presence of concept drift, sampling bias is more likely to occur as the training set needs to represent the whole evolving data...
October 21, 2016: IEEE Transactions on Neural Networks and Learning Systems
Cinzia Pizzi, Mattia Ornamenti, Simone Spangaro, Simona E Rombo, Laxmi Parida
Entropy, being closely related to repetitiveness and compressibility, is a widely used information-related measure to assess the degree of predictability of a sequence. Entropic profiles are based on information theory principles, and can be used to study the under-/over-representation of subwords, by also providing information about the scale of conserved DNA regions. Here we focus on the algorithmic aspects related to entropic profiles. In particular, we propose linear time algorithms for their computation that rely on suffix-based data structures, more specifically on the truncated suffix tree (TST) and on the enhanced suffix array (ESA)...
October 21, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Kun Qian, Christoph Janott, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Bjoern Schuller
OBJECTIVE: Obstructive Sleep Apnea (OSA) is a serious chronic disease and a risk factor for cardiovascular diseases. Snoring is a typical symptom of OSA patients. Knowledge of the origin of obstruction and vibration within the upper airways is essential for a targeted surgical approach. Aim of this paper is to systematically compare different acoustic features, and classifiers for their performance in the classification of the excitation location of snore sounds. METHODS: Snore sounds from 40 male patients have been recorded during Drug-Induced Sleep Endoscopy, and categorized by ENT experts...
October 21, 2016: IEEE Transactions on Bio-medical Engineering
S Berretta, M Berretta, F Fiorica, R Di Francia, P Magistri, G Bertola, R Fisichella, V Canzonieri, F Di Benedetto, G Tarantino
Gastric cancer (GC) is the third leading cause of cancer death in both sexes worldwide, with the highest estimated mortality rates in Eastern Asia and the lowest in Northern America. However, the availability of modern treatment has improved the survival and the prognosis is often poor due to biological characteristics of the disease. In oncology, we are living in the "Era" of target treatment and, to know biological aspects, prognostic factors and predictive response informations to therapy in GC is mandatory to apply the best strategy of treatment...
October 2016: European Review for Medical and Pharmacological Sciences
Peter R Wiecha, Arnaud Arbouet, Christian Girard, Aurélie Lecestre, Guilhem Larrieu, Vincent Paillard
The rational design of photonic nanostructures consists of anticipating their optical response from systematic variations of simple models. This strategy, however, has limited success when multiple objectives are simultaneously targeted, because it requires demanding computational schemes. To this end, evolutionary algorithms can drive the morphology of a nano-object towards an optimum through several cycles of selection, mutation and cross-over, mimicking the process of natural selection. Here, we present a numerical technique that can allow the design of photonic nanostructures with optical properties optimized along several arbitrary objectives...
October 24, 2016: Nature Nanotechnology
Famke Aeffner, Nathan T Martin, Mirza Peljto, Joshua C Black, Justin K Major, Maryam Jangani, Michael O Ports, Joseph S Krueger, G David Young
Tissue image analysis (tIA) is emerging as a powerful tool for quantifying biomarker expression and distribution in complex diseases and tissues. Pancreatic ductal adenocarcinoma (PDAC) develops in a highly complex and heterogeneous tissue environment and, generally, has a very poor prognosis. Early detection of PDAC is confounded by limited knowledge of the pre-neoplastic disease stages and limited methods to quantitatively assess disease heterogeneity. We sought to develop a tIA approach to assess the most common PDAC precursor lesions, pancreatic intraepithelial neoplasia (PanIN), in tissues from Kras(LSL-G12D/+); Trp53(LSL-R172H/+); Pdx-Cre (KPC) mice, a validated model of PDAC development...
October 24, 2016: Laboratory Investigation; a Journal of Technical Methods and Pathology
Qifan Zhou, Hai Zhang, Zahra Lari, Zhenbo Liu, Naser El-Sheimy
Wearable electronic devices have experienced increasing development with the advances in the semiconductor industry and have received more attention during the last decades. This paper presents the development and implementation of a novel inertial sensor-based foot-mounted wearable electronic device for a brand new application: game playing. The main objective of the introduced system is to monitor and identify the human foot stepping direction in real time, and coordinate these motions to control the player operation in games...
October 21, 2016: Sensors
Shuoyang Chen, Tingfa Xu, Daqun Li, Jizhou Zhang, Shenwang Jiang
During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as "frame difference" and "optical flow", may not able to deal with the problem very well. In such scenarios, we use a modified algorithm to do the background modeling work. In this paper, we use edge detection to get an edge difference image just to enhance the ability of resistance illumination variation. Then we use a "multi-block temporal-analyzing LBP (Local Binary Pattern)" algorithm to do the segmentation...
October 21, 2016: Sensors
Peng Jiang, Yang Feng, Feng Wu
This study addresses the optimization of node redeployment coverage in underwater wireless sensor networks. Given that nodes could easily become invalid under a poor environment and the large scale of underwater wireless sensor networks, an underwater sensor network redeployment algorithm was developed based on wolf search. This study is to apply the wolf search algorithm combined with crowded degree control in the deployment of underwater wireless sensor networks. The proposed algorithm uses nodes to ensure coverage of the events, and it avoids the prematurity of the nodes...
October 21, 2016: Sensors
Daniele Giordan, Paolo Allasia, Niccolò Dematteis, Federico Dell'Anese, Marco Vagliasindi, Elena Motta
In this work, we present the results of a low-cost optical monitoring station designed for monitoring the kinematics of glaciers in an Alpine environment. We developed a complete hardware/software data acquisition and processing chain that automatically acquires, stores and co-registers images. The system was installed in September 2013 to monitor the evolution of the Planpincieux glacier, within the open-air laboratory of the Grandes Jorasses, Mont Blanc massif (NW Italy), and collected data with an hourly frequency...
October 21, 2016: Sensors
Dan Liu, Qisong Wang, Xin Liu, Ruixin Niu, Yan Zhang, Jinwei Sun
Accurately measuring the oil content and salt content of crude oil is very important for both estimating oil reserves and predicting the lifetime of an oil well. There are some problems with the current methods such as high cost, low precision, and difficulties in operation. To solve these problems, we present a multifunctional sensor, which applies, respectively, conductivity method and ultrasound method to measure the contents of oil, water, and salt. Based on cross sensitivity theory, these two transducers are ideally integrated for simplifying the structure...
October 21, 2016: Sensors
Tara Blakey, Assefa Melesse, Michael C Sukop, Georgio Tachiev, Dean Whitman, Fernando Miralles-Wilhelm
This study evaluated the ability to improve Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) chl-a retrieval from optically shallow coastal waters by applying algorithms specific to the pixels' benthic class. The form of the Ocean Color (OC) algorithm was assumed for this study. The operational atmospheric correction producing Level 2 SeaWiFS data was retained since the focus of this study was on establishing the benefit from the alternative specification of the bio-optical algorithm. Benthic class was determined through satellite image-based classification methods...
October 20, 2016: Sensors
Boqian Sun, Shunyue Wang, Haixia Li, Xiaoxia He
A micromachined gyroscope in which a high-speed spinning rotor is suspended electrostatically in a vacuum cavity usually functions as a dual-axis angular rate sensor. An inherent coupling error between the two sensing axes exists owing to the angular motion of the spinning rotor being controlled by a torque-rebalance loop. In this paper, a decoupling compensation method is proposed and investigated experimentally based on an electrostatically suspended micromachined gyroscope. In order to eliminate the negative spring effect inherent in the gyroscope dynamics, a stiffness compensation scheme was utilized in design of the decoupled rebalance loop to ensure loop stability and increase suspension stiffness...
October 20, 2016: Sensors
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