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https://www.readbyqxmd.com/read/29352660/clinical-significance-of-muc13-in-pancreatic-ductal-adenocarcinoma
#1
Sheema Khan, Nadeem Zafar, Shabia S Khan, Saini Setua, Stephen W Behrman, Zachary E Stiles, Murali M Yallapu, Peeyush Sahay, Hemendra Ghimire, Tomoko Ise, Satoshi Nagata, Lei Wang, Jim Y Wan, Prabhakar Pradhan, Meena Jaggi, Subhash C Chauhan
BACKGROUND: Poor prognosis of pancreatic cancer (PanCa) is associated with lack of an effective early diagnostic biomarker. This study elucidates significance of MUC13, as a diagnostic/prognostic marker of PanCa. METHODS: MUC13 was assessed in tissues using our in-house generated anti-MUC13 mouse monoclonal antibody and analyzed for clinical correlation by immunohistochemistry, immunoblotting, RT-PCR, computational and submicron scale mass-density fluctuation analyses, ROC and Kaplan Meir curve analyses...
January 15, 2018: HPB: the Official Journal of the International Hepato Pancreato Biliary Association
https://www.readbyqxmd.com/read/29352464/origin-of-heterogeneous-spiking-patterns-from-continuously-distributed-ion-channel-densities-a-computational-study-in-spinal-dorsal-horn-neurons
#2
Arjun Balachandar, Steven A Prescott
Neurons are often classified by spiking pattern. Yet some neurons exhibit distinct patterns under subtly different test conditions, which suggests that they operate near an abrupt transition, or bifurcation. A set of such neurons may exhibit heterogeneous spiking patterns not because of qualitative differences in which ion channels they express, but rather because quantitative differences in expression levels cause neurons to operate on opposite sides of a bifurcation. Neurons in the spinal dorsal horn, for example, respond to somatic current injection with patterns that include tonic-, single-, gap-, delayed- and reluctant-spiking...
January 20, 2018: Journal of Physiology
https://www.readbyqxmd.com/read/29352435/outcome-of-hip-and-knee-periprosthetic-joint-infections-caused-by-pathogens-resistant-to-biofilm-active-antibiotics-results-from-a-prospective-cohort-study
#3
Doruk Akgün, Carsten Perka, Andrej Trampuz, Nora Renz
BACKGROUND: Periprosthetic joint infections (PJI) caused by pathogens, for which no biofilm-active antibiotics are available, are often referred to as difficult-to-treat (DTT). However, it is unclear whether the outcome of DTT PJI is worse than those of non-DTT PJI. We evaluated the outcome of DTT and non-DTT PJI in a prospective cohort treated with a two-stage exchange according to a standardized algorithm. METHODS: Patients with hip and knee PJI from 2013 to 2015 were prospectively included and followed up for ≥ 2 years...
January 19, 2018: Archives of Orthopaedic and Trauma Surgery
https://www.readbyqxmd.com/read/29352380/integrated-prediction-of-lesion-specific-ischaemia-from-quantitative-coronary-ct-angiography-using-machine-learning-a-multicentre-study
#4
Damini Dey, Sara Gaur, Kristian A Ovrehus, Piotr J Slomka, Julian Betancur, Markus Goeller, Michaela M Hell, Heidi Gransar, Daniel S Berman, Stephan Achenbach, Hans Erik Botker, Jesper Moller Jensen, Jens Flensted Lassen, Bjarne Linde Norgaard
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomography angiography (CTA). METHODS: In a multicentre trial of 254 patients, CTA and invasive coronary angiography were performed, with FFR in 484 vessels. CTA data sets were analysed by semi-automated software to quantify stenosis and non-calcified (NCP), low-density NCP (LD-NCP, < 30 HU), calcified and total plaque volumes, contrast density difference (CDD, maximum difference in luminal attenuation per unit area) and plaque length...
January 19, 2018: European Radiology
https://www.readbyqxmd.com/read/29352282/an-energy-efficient-failure-detector-for-vehicular-cloud-computing
#5
Jiaxi Liu, Zhibo Wu, Jian Dong, Jin Wu, Dongxin Wen
Failure detectors are one of the fundamental components for maintaining the high availability of vehicular cloud computing. In vehicular cloud computing, lots of RSUs are deployed along the road to improve the connectivity. Many of them are equipped with solar battery due to the unavailability or excess expense of wired electrical power. So it is important to reduce the battery consumption of RSU. However, the existing failure detection algorithms are not designed to save battery consumption RSU. To solve this problem, a new energy-efficient failure detector 2E-FD has been proposed specifically for vehicular cloud computing...
2018: PloS One
https://www.readbyqxmd.com/read/29352247/high-content-analysis-identifies-unique-morphological-features-of-reprogrammed-cardiomyocytes
#6
Matthew D Sutcliffe, Philip M Tan, Antonio Fernandez-Perez, Young-Jae Nam, Nikhil V Munshi, Jeffrey J Saucerman
Direct reprogramming of fibroblasts into cardiomyocytes is a promising approach for cardiac regeneration but still faces challenges in efficiently generating mature cardiomyocytes. Systematic optimization of reprogramming protocols requires scalable, objective methods to assess cellular phenotype beyond what is captured by transcriptional signatures alone. To address this question, we automatically segmented reprogrammed cardiomyocytes from immunofluorescence images and analyzed cell morphology. We also introduce a method to quantify sarcomere structure using Haralick texture features, called SarcOmere Texture Analysis (SOTA)...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29352192/full-wave-electromagnetic-optimisation-of-corrugated-metallic-reectors-using-a-multigrid-approach
#7
Gökhan Karaova, Aşkın Altınoklu, Özgür Ergül
A multigrid optimisation strategy is introduced to design passive metallic reflectors with corrugated shapes. The strategy is based on using genetic algorithms at multiple grids and shaping the metal sheets, starting from coarse details to fine tunings. This corresponds to a systematic expansion of the related optimisation space, which is explored more efficiently in comparison to a brute-force optimisation without using grid. By employing the multilevel fast multipole algorithm to analyse the electromagnetic problems corresponding to optimisation trials, we obtain accurately designed reflectors that provide focussing abilities with very high performances at single and multiple locations...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29352185/genetic-fingerprinting-of-salmon-louse-lepeophtheirus-salmonis-populations-in-the-north-east-atlantic-using-a-random-forest-classification-approach
#8
A Jacobs, M De Noia, K Praebel, Ø Kanstad-Hanssen, M Paterno, D Jackson, P McGinnity, A Sturm, K R Elmer, M S Llewellyn
Caligid sea lice represent a significant threat to salmonid aquaculture worldwide. Population genetic analyses have consistently shown minimal population genetic structure in North Atlantic Lepeophtheirus salmonis, frustrating efforts to track louse populations and improve targeted control measures. The aim of this study was to test the power of reduced representation library sequencing (IIb-RAD sequencing) coupled with random forest machine learning algorithms to define markers for fine-scale discrimination of louse populations...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29352148/stochastic-optimization-of-broadband-reflecting-photonic-structures
#9
D Estrada-Wiese, E A Del Río-Chanona, J A Del Río
Photonic crystals (PCs) are built to control the propagation of light within their structure. These can be used for an assortment of applications where custom designed devices are of interest. Among them, one-dimensional PCs can be produced to achieve the reflection of specific and broad wavelength ranges. However, their design and fabrication are challenging due to the diversity of periodic arrangement and layer configuration that each different PC needs. In this study, we present a framework to design high reflecting PCs for any desired wavelength range...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29352123/tumor-tissue-detection-using-blood-oxygen-level-dependent-functional-mri-based-on-independent-component-analysis
#10
Huiyuan Huang, Junfeng Lu, Jinsong Wu, Zhongxiang Ding, Shuda Chen, Lisha Duan, Jianling Cui, Fuyong Chen, Dezhi Kang, Le Qi, Wusi Qiu, Seong-Whan Lee, ShiJun Qiu, Dinggang Shen, Yu-Feng Zang, Han Zhang
Accurate delineation of gliomas from the surrounding normal brain areas helps maximize tumor resection and improves outcome. Blood-oxygen-level-dependent (BOLD) functional MRI (fMRI) has been routinely adopted for presurgical mapping of the surrounding functional areas. For completely utilizing such imaging data, here we show the feasibility of using presurgical fMRI for tumor delineation. In particular, we introduce a novel method dedicated to tumor detection based on independent component analysis (ICA) of resting-state fMRI (rs-fMRI) with automatic tumor component identification...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29352006/machine-learning-in-cardiovascular-medicine-are-we-there-yet
#11
REVIEW
Khader Shameer, Kipp W Johnson, Benjamin S Glicksberg, Joel T Dudley, Partho P Sengupta
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encompassing several terms like machine learning, cognitive learning, deep learning and reinforcement learning-based methods that can be used to integrate and interpret complex biomedical and healthcare data in scenarios where traditional statistical methods may not be able to perform...
January 19, 2018: Heart: Official Journal of the British Cardiac Society
https://www.readbyqxmd.com/read/29351994/full-molecular-trajectories-of-rna-polymerase-at-single-base-pair-resolution
#12
Maurizio Righini, Antony Lee, Cristhian Cañari-Chumpitaz, Troy Lionberger, Ronen Gabizon, Yves Coello, Ignacio Tinoco, Carlos Bustamante
In recent years, highly stable optical tweezers systems have enabled the characterization of the dynamics of molecular motors at very high resolution. However, the motion of many motors with angstrom-scale dynamics cannot be consistently resolved due to poor signal-to-noise ratio. Using an acousto-optic deflector to generate a "time-shared" dual-optical trap, we decreased low-frequency noise by more than one order of magnitude compared with conventional dual-trap optical tweezers. Using this instrument, we implemented a protocol that synthesizes single base-pair trajectories, which are used to test a Large State Space Hidden Markov Model algorithm to recover their individual steps...
January 19, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29351989/iterative-random-forests-to-discover-predictive-and-stable-high-order-interactions
#13
Sumanta Basu, Karl Kumbier, James B Brown, Bin Yu
Genomics has revolutionized biology, enabling the interrogation of whole transcriptomes, genome-wide binding sites for proteins, and many other molecular processes. However, individual genomic assays measure elements that interact in vivo as components of larger molecular machines. Understanding how these high-order interactions drive gene expression presents a substantial statistical challenge. Building on random forests (RFs) and random intersection trees (RITs) and through extensive, biologically inspired simulations, we developed the iterative random forest algorithm (iRF)...
January 19, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29351876/vital-signs-analysis-algorithm-detects-inflammatory-response-in-premature-infants-with-late-onset-sepsis-and-necrotizing-enterocolitis
#14
Leena B Mithal, Ram Yogev, Hannah L Palac, Daniel Kaminsky, Ilan Gur, Karen K Mestan
BACKGROUND: Nonspecific clinical signs and suboptimal diagnostic tests limit accurate identification of late onset sepsis (LOS) and necrotizing enterocolitis (NEC) in premature infants, resulting in significant morbidity and antibiotic overuse. An infant's systemic inflammatory response may be identified earlier than clinical suspicion through analysis of multiple vital signs by a computerized algorithm (RALIS). AIM: To evaluate the revised RALIS algorithm for detection of LOS and NEC in preterm infants...
January 16, 2018: Early Human Development
https://www.readbyqxmd.com/read/29351769/protocol-to-disseminate-a-hospital-site-controlled-intervention-using-audit-and-feedback-to-implement-guidelines-concerning-inappropriate-treatment-of-asymptomatic-bacteriuria
#15
Barbara W Trautner, Pooja Prasad, Larissa Grigoryan, Sylvia J Hysong, Jennifer R Kramer, Suja Rajan, Nancy J Petersen, Tracey Rosen, Dimitri M Drekonja, Christopher Graber, Payal Patel, Paola Lichtenberger, Timothy P Gauthier, Steve Wiseman, Makoto Jones, Anne Sales, Sarah Krein, Aanand Dinkar Naik
BACKGROUND: Antimicrobial stewardship to combat the spread of antibiotic-resistant bacteria has become a national priority. This project focuses on reducing inappropriate use of antimicrobials for asymptomatic bacteriuria (ASB), a very common condition that leads to antimicrobial overuse in acute and long-term care. We previously conducted a successful intervention, entitled "Kicking Catheter Associated Urinary Tract Infection (CAUTI): the No Knee-Jerk Antibiotics Campaign," to decrease guideline-discordant ordering of urine cultures and antibiotics for ASB...
January 19, 2018: Implementation Science: IS
https://www.readbyqxmd.com/read/29351765/retrospective-analysis-of-insulin-responses-to-standard-dosed-oral-glucose-tests-ogts-via-naso-gastric-tubing-towards-definition-of-an-objective-cut-off-value
#16
Tobias Warnken, Julien Delarocque, Svenja Schumacher, Korinna Huber, Karsten Feige
BACKGROUND: Insulin dysregulation (ID) with basal or postprandial hyperinsulinemia is one of the key findings in horses and ponies suffering from the equine metabolic syndrome (EMS). Assessment of ID can easily be performed in clinical settings by the use of oral glucose challenge tests. Oral glucose test (OGT) performed with 1 g/kg bodyweight (BW) glucose administered via naso-gastric tube allows the exact administration of a defined glucose dosage in a short time. However, reliable cut-off values have not been available so far...
January 19, 2018: Acta Veterinaria Scandinavica
https://www.readbyqxmd.com/read/29351763/an-overview-of-the-impact-of-rare-disease-characteristics-on-research-methodology
#17
REVIEW
Danielle Whicher, Sarah Philbin, Naomi Aronson
BACKGROUND: About 30 million individuals in the United States are living with a rare disease, which by definition have a prevalence of 200,000 or fewer cases in the United States ([National Organization for Rare Disorders], [About NORD], [2016]). Disease heterogeneity and geographic dispersion add to the difficulty of completing robust studies in small populations. Improving the ability to conduct research on rare diseases would have a significant impact on population health. The purpose of this paper is to raise awareness of methodological approaches that can address the challenges to conducting robust research on rare diseases...
January 19, 2018: Orphanet Journal of Rare Diseases
https://www.readbyqxmd.com/read/29351762/inclusion-of-edaphic-predictors-for-enhancement-of-models-to-determine-distribution-of-soil-transmitted-helminths-the-case-of-zimbabwe
#18
Nicholas Midzi, Blessing Kavhu, Portia Manangazira, Isaac Phiri, Susan L Mutambu, Cremants Tshuma, Moses J Chimbari, Shungu Munyati, Stanely M Midzi, Lincon Charimari, Anatoria Ncube, Masceline J Mutsaka-Makuvaza, White Soko, Emmanuel Madzima, Gibson Hlerema, Joel Mbedzi, Gibson Mhlanga, Mhosisi Masocha
BACKGROUND: Reliable mapping of soil-transmitted helminth (STH) parasites requires rigorous statistical and machine learning algorithms capable of integrating the combined influence of several determinants to predict distributions. This study tested whether combining edaphic predictors with relevant environmental predictors improves model performance when predicting the distribution of STH, Ascaris lumbricoides and hookworms at a national scale in Zimbabwe. METHODS: Geo-referenced parasitological data obtained from a 2010/2011 national survey indicating a confirmed presence or absence of STH among school children aged 10-15 years was used to calibrate ten species distribution models (SDMs)...
January 19, 2018: Parasites & Vectors
https://www.readbyqxmd.com/read/29351697/roles-of-transit-time-flow-measurement-for-coronary-artery-bypass-surgery
#19
Yoshiyuki Takami, Yasushi Takagi
Transit-time flow measurement (TTFM) has been increasingly applied to detect graft failure during coronary artery bypass grafting (CABG), because TTFM is less invasive, more reproducible, and less time consuming. Many authors have attempted to validate TTFM and to gain the clear cutoff values and algorithm in TTFM to predict graft failure. The TTFM technology has also been shown to be a useful tool to investigate CABG graft flow characteristics and coronary circulation physiology. It is important to recognize the practical roles of TTFM in the cardiac operating room by review and summarize the literatures...
January 19, 2018: Thoracic and Cardiovascular Surgeon
https://www.readbyqxmd.com/read/29351656/evaluation-of-a-new-neutron-energy-spectrum-unfolding-code-based-on-an-adaptive-neuro-fuzzy-inference-system-anfis
#20
Seyed Abolfazl Hosseini, Iman Esmaili Paeen Afrakoti
The purpose of the present study was to reconstruct the energy spectrum of a poly-energetic neutron source using an algorithm developed based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is a kind of artificial neural network based on the Takagi-Sugeno fuzzy inference system. The ANFIS algorithm uses the advantages of both fuzzy inference systems and artificial neural networks to improve the effectiveness of algorithms in various applications such as modeling, control and classification. The neutron pulse height distributions used as input data in the training procedure for the ANFIS algorithm were obtained from the simulations performed by MCNPX-ESUT computational code (MCNPX-Energy engineering of Sharif University of Technology)...
January 17, 2018: Journal of Radiation Research
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