bluuebunny/crossref_metadata_2025_split huggingface dataset:
Load balancing aware scheduling algorithms for fog networks
Authors: Singh Anil , Auluck Nitin 
Published: June 2019

SummaryFog networks have attracted the attention of researchers recently. The idea is that a part of the computation of a job/application can be performed by fog devices that are located at the network edge, close to the users. Executing latency sensitive applications on the cloud may not be feasible, owing to the significant communication delay involved between the user and the cloud data center (cdc). By the time the application traverses the network and reaches the cloud data center, it might already be too late. However, fog devices, also known as mobile data centers (mdcs), are capable of executing such latency sensitive applications. In this paper, we study the problem of balancing the application load while taking account of security constraints of jobs, across various mdcs in a fog network. In case a particular mdc does not have sufficient capacity to execute a job, the job needs to be migrated to some other mdc. To this end, we propose three heuristic algorithms: minimum distance, minimum load, and minimum hop distance and load (MHDL). In addition, we also propose an ILP‐based algorithm called load balancing aware scheduling ILP (LASILP) for solving the task mapping and scheduling problem. The performance of the proposed algorithms have been compared with the cloud only algorithm and another heuristic algorithm called fog‐cloud‐placement (FCP). Simulation results performed on real‐life workload traces reveal that the MHDL heuristic performs better as compared to other scheduling policies in the fog computing environment while meeting application privacy requirements.
Full‐scale tests on used steel storage racks
Authors: Avgerinou Stella , Lignos Xenophon , Tsarpalis Dimitris , Vayas Ioannis 
Published: June 2019

AbstractIndustrial storage operators use not only new pallet racking systems, but also old ones for which certification documents possibly do not exist. In order to check the carrying capacity of such racks, in addition to component tests, full‐scale experimental tests were carried out on complete structures to help the development of reliable numerical models. The racks were subjected to vertical and pushover loads in the laboratory using an improved version of the base plates to achieve fixed support conditions. Vertical loading was imposed by filling tanks with water, an operation that was activated and controlled through an innovative hydraulic network specifically designed for this purpose. During the vertical loading tests, a moderate earthquake took place near the experimental facility and this influenced the rack behaviour positively. The spine brace was too flexible in the out‐of‐plane direction and did not participate in the resistance to lateral forces. Distortional buckling of the columns was observed at high lateral loads. The experimental tests allowed the calculation of conservative values for the behaviour factor q.
Understanding the importance of expanding the definition of interoperability through social network analysis
Authors: Enos James R. , Nilchiani Roshanak R. 
Published: June 2019

AbstractOver the past decade, the Department of Defense (DoD) developed an emergent network of systems that operate together on the battlefield to provide value to the DoD. Advances in systems engineering have enabled the DoD to develop better, more integrated, and more complex systems in this time frame. One of the emerging topics in systems engineering is the importance of nonfunctional attributes captured in the ilities of a system. One of these ilities, interoperability, captures the ability of a system to operate with other systems as DoD systems do on the battlefield. This article applies social network analysis tools and methods to understand the effect of expanding the definition of interoperability beyond information flows to include shared resources and physical connections. Social network analysis metrics, such as density and average degree, quantify the effect of expanding interoperability to capture other aspects of interoperability. By capturing these additional aspects of interoperability, the number of connections in the DoD network of systems increases by nearly a factor of four. Thus, if the ility of interoperability narrowly focuses on information flows, then systems engineers could potentially miss a large number of important connections in a network of systems.
Benchmarking in classification and regression
Authors: Hoffmann Frank , Bertram Torsten , Mikut Ralf , Reischl Markus , Nelles Oliver 
Published: June 2019

AbstractThe article presents an overview of the status quo in benchmarking in classification and nonlinear regression. It outlines guidelines for a comparative analysis in machine learning, benchmarking principles, accuracy estimation, and model validation. It provides references to established repositories and competitions and discusses the objectives and limitations of benchmarking. Benchmarking is key to progress in machine learning as it allows an unprejudiced comparison among alternative methods. This article presents guidelines and best practices for benchmarking in classification and regression. It reviews state‐of‐the‐art approaches in machine learning, establishes benchmarking principles and discusses performance metrics for a sound statistical comparative analysis.This article is categorized under:
Technologies > Computational Intelligence
Fundamental Concepts of Data and Knowledge > Key Design Issues in Data Mining
Technologies > Machine Learning
Technologies > Classification
autoboot: a generator of bootstrap equations with global symmetry
Authors: Go Mocho , Tachikawa Yuji 
Published: June 2019

Abstract

We introduce autoboot, a Mathematica program which automatically generates mixed correlator bootstrap equations of an arbitrary number of scalar external operators, given the global symmetry group and the representations of the operators. The output is a Python program which uses Ohtsuki’s cboot which in turn uses Simmons-Duffin’s sdpb. The code is available at https://github.com/selpoG/autoboot/.
In an appendix we also discuss a simple technique to significantly reduce the time to run sdpb, which we call hot-starting.
Leveraging LDV techniques for the investigation of unsteady turbomachinery flows
Authors: Gooding W. J. , Key N. L. 
Published: June 2019

ABSTRACTSteps required for proper acquisition and processing of laser Doppler velocimetry data for turbomachinery research applications are addressed. Turbomachinery applications are difficult due to the small internal passages, high-frequency fluctuations, large turbulence intensities, and strong secondary flows resulting in low overall signal-to-noise ratios and narrowband noise sources that cannot be removed by simple band-pass filters. Special aspects that must be considered for successful and accurate laser Doppler velocimetry studies to be conducted in turbomachinery are discussed. Specifically, the design of the measurement volume size, reflection mitigation, engineering of seed particle size and injection schema, and alignment of the traverse mechanism are addressed in terms of their importance (from literature sources) and the solutions implemented by the authors. These techniques have been applied to successfully obtain three-component, unsteady velocity data in a high-speed centrifugal compressor for aeroengine application. Processing techniques are also presented including a novel mixture-model-based statistical method for narrowband noise isolation developed by the authors. The method, validation steps, and example results are presented, showing the successful rejection of noise with high accuracy, a low failure rate, and a significant reduction in required manual inspection. This newly developed method elucidated flow features that were not clear prior to the noise removal.
US Governmental Spending for Disaster-Related Research, 2011–2016: Characterizing the State of Science Funding Across 5 Professional Disciplines
Authors: Kirsch Thomas D. , Keim Mark 
Published: June 2019

ABSTRACTObjective:Disaster-related research funding in the United States has not been described. This study characterizes Federal funding for disaster-related research for 5 professional disciplines: medicine, public health, social science, engineering, emergency management.Methods:An online key word search was performed using the website, www.USAspending.gov, to identify federal awards, grants, and contracts during 2011–2016. A panel of experts then reviewed each entry for inclusion.Results:The search identified 9145 entries, of which 262 (3%) met inclusion criteria. Over 6 years, the Federal Government awarded US $69 325 130 for all disaster-related research. Total funding levels quadrupled in the first 3 years and then halved in the last 3 years. Half of the funding was for engineering, 3 times higher than social sciences and emergency management and 5 times higher than public health and medicine. Ten (11%) institutions received 52% of all funding. The search returned entries for only 12 of the 35 pre-identified disaster-related capabilities; 6 of 12 capabilities appear to have received no funding for at least 2 years.Conclusion:US federal funding for disaster-related research is limited and highly variable during 2011–2016. There are no clear reasons for apportionment. There appears to be an absence of prioritization. There does not appear to be a strategy for alignment of research with national disaster policies.
Physical Drivers of Changes in Probabilistic Surge Hazard Under Sea Level Rise
Authors: Liu Yi , Asher Taylor G. , Irish Jennifer L. 
Published: June 2019

Surge hazards induced by tropical cyclones have caused substantial economic losses and casualties for coastal communities worldwide. Under projected sea level rise (SLR), it is not well understood how the probabilistic surge hazard may change. Coastal planning and engineering usually adopt the “bathtub” method to evaluate the surge‐SLR response, where surge with SLR is considered to be the exact summation of the two. This method has been shown by previous studies to be unreliable. Studies on surge‐SLR response either use a low‐fidelity model setup or rely on individual storm's surge to represent the probabilistic surge due to the high computational burden. Herein, we use high‐fidelity numerical models in the Tampa region, West Florida, consider 188 synthetic storms and four SLR scenarios, and investigate the surge‐SLR response and its physical drivers. Compared to the direct summation of present‐day surge and SLR amount, results show that the probabilistic surge with SLR can be 1.0 m larger, while different individual storm's surge with the same magnitude can be 1.5 m larger or 0.1 m smaller, indicating the importance of not relying on a limited number of surge events to assess the probabilistic surge response to SLR. Investigation of the physical drivers shows that distinct topographic features of the study area and storm forward speed notably affect the surge‐SLR response. When considering 1.3 m or larger SLR in the study area, complex topography, and large surge events, the effects of SLR on the probabilistic surge are hard to predict and should be investigated more carefully.
Eddy Wake Generation From Broadband Currents Near Palau
Authors: MacKinnon Jennifer A. , Alford Matthew H. , Voet Gunnar , Zeiden Kristin L. , Shaun Johnston T. M. , Siegelman Mika , Merrifield Sophia , Merrifield Mark 
Published: June 2019

AbstractWake eddies are frequently created by flow separation where ocean currents encounter abrupt topography in the form of islands or headlands. Most previous work has concentrated on wake eddy generation by either purely oscillatory (usually tidal) currents, or quasi‐steady mean flows. Here we report measurements near the point of flow separation at the northern end of the Palau island chain, where energetic tides and vertically sheared low‐frequency flows are both present. Energetic turbulence measured near the very steeply sloping ocean floor varied cubically with the total flow speed (primarily tidal). The estimated turbulent viscosity suggests a regime of flow separation and eddying wake generation for flows that directly feel this drag. Small‐scale (∼1 km), vertically sheared wake eddies of different vorticity signs were observed with a shipboard survey on both sides of the separation point, and significantly evolved over several tidal periods. The net production and export of vorticity into the wake, expected to sensitively depend on the interplay of tidal and low‐frequency currents, is explored here with a simple conceptual model. Application of the model to a 10‐month mooring record suggests that inclusion of high frequency oscillatory currents may boost the net flux of vorticity into the ocean interior by a depth dependent factor of 2 to 25. Models that do not represent the effect of these high frequency currents may not accurately infer the net momentum or energy losses felt where strong flows encounter steep island or headland topography.
Are Changes in Atmospheric Circulation Important for Black Carbon Aerosol Impacts on Clouds, Precipitation, and Radiation?
Authors: Johnson B. T. , Haywood J. M. , Hawcroft M. K. 
Published: June 2019

AbstractBlack carbon (BC) aerosols strongly absorb solar radiation, but their effective radiative forcing and impacts on regional climate remain highly uncertain owing to strong feedbacks of BC heating on clouds, convection, and precipitation. This study investigates the role of large‐scale circulation changes in governing such feedbacks. In the HadGEM3 climate model BC emissions were increased to 10 times present‐day values while keeping sea surface temperatures fixed, to assess the rapid adjustments to increased BC absorption. The BC perturbation led to an effective radiative forcing of 2.7 W/m2 and a 0.13‐mm/day reduction in global precipitation. There were also large shifts in the spatial distribution of tropical convection, increased low cloud over oceans, and a weakening and poleward shift of midlatitude storm tracks, especially in the Northern Hemisphere. In a parallel experiment, horizontal winds were nudged toward meteorological reanalyses to deliberately suppress circulation responses while allowing changes to the thermodynamic structure of the atmosphere. Surprisingly, BC had approximately the same impact on global‐mean radiation and global precipitation in the nudged experiment, even though regional changes in clouds and convection were not fully captured. The results show that large‐scale dynamical responses to BC are important for regional impacts but have a limited role in determining the effective radiative forcing and global‐mean climate response. The rapid adjustments of clouds, radiation, and global precipitation were primarily a response to increased radiative absorption and atmospheric stability. This implies that short nudged simulations may be sufficient to assess absorbing aerosol impacts on global‐mean radiation and precipitation.
Mitochondrial maturation drives germline stem cell differentiation in Caenorhabditis elegans
Authors: Charmpilas Nikolaos , Tavernarakis Nektarios 
Published: June 2019

AbstractThe C. elegans germline recapitulates mammalian stem cell niches and provides an effective platform for investigating key aspects of stem cell biology. However, the molecular and physiological requirements for germline stem cell homeostasis remain largely elusive. Here, we report that mitochondrial biogenesis and function are crucial for germline stem cell identity. We show that general transcription activity in germline mitochondria is highly compartmentalized, and determines mitochondrial maturation. RPOM-1, the mitochondrial RNA polymerase, is differentially expressed as germ nuclei progress from the distal to the proximal gonad arm to form oocytes. Mitochondria undergo changes from globular to tubular morphology and become polarized, as they approach the proximal gonad arm. Notably, this mitochondrial maturation trajectory is evolutionarily conserved. We find that a similar transition and temporal mitochondrial RNA polymerase expression profile characterizes differentiation of mammalian stem cells. In C. elegans, ATP, and ROS production increases sharply during maturation. Impaired mitochondrial bioenergetics causes gonad syncytium tumor formation by disrupting the balance between mitosis and differentiation to oocytes, which results in a marked reduction of fecundity. Consequently, compensatory apoptosis is induced in the germline. Sperm-derived signals promote mitochondrial maturation and proper germ cell differentiation via the MEK/ERK kinase pathway. Germ cell fate decisions are determined by a crosstalk between Insulin/IGF-1 and TGF-β signaling, mitochondria and protein synthesis. Our findings demonstrate that mitochondrial transcription activity determines a shift in mitochondrial bioenergetics, which in turn regulates germline stem cell survival and differentiation. Perturbation of mitochondrial transcription hinders proper germ cell differentiation and causes germline tumor development.
Single and fractionated ionizing radiation induce alterations in endothelial connexin expression and channel function
Authors: Ramadan Raghda , Vromans Els , Anang Dornatien Chuo , Decrock Elke , Mysara Mohamed , Monsieurs Pieter , Baatout Sarah , Leybaert Luc , Aerts An 
Published: June 2019

AbstractRadiotherapy is an effective treatment for most tumor types. However, emerging evidence indicates an increased risk for atherosclerosis after ionizing radiation exposure, initiated by endothelial cell dysfunction. Interestingly, endothelial cells express connexin (Cx) proteins that are reported to exert proatherogenic as well as atheroprotective effects. Furthermore, Cxs form channels, gap junctions and hemichannels, that are involved in bystander signaling that leads to indirect radiation effects in non-exposed cells. We here aimed to investigate the consequences of endothelial cell irradiation on Cx expression and channel function. Telomerase immortalized human Coronary Artery/Microvascular Endothelial cells were exposed to single and fractionated X-rays. Several biological endpoints were investigated at different time points after exposure: Cx gene and protein expression, gap junctional dye coupling and hemichannel function. We demonstrate that single and fractionated irradiation induce upregulation of proatherogenic Cx43 and downregulation of atheroprotective Cx40 gene and protein levels in a dose-dependent manner. Single and fractionated irradiation furthermore increased gap junctional communication and induced hemichannel opening. Our findings indicate alterations in Cx expression that are typically observed in endothelial cells covering atherosclerotic plaques. The observed radiation-induced increase in Cx channel function may promote bystander signaling thereby exacerbating endothelial cell damage and atherogenesis.
VIPP1 rods engulf membranes containing phosphatidylinositol phosphates
Authors: Theis Jasmine , Gupta Tilak Kumar , Klingler Johannes , Wan William , Albert Sahradha , Keller Sandro , Engel Benjamin D. , Schroda Michael 
Published: June 2019

AbstractIn cyanobacteria and plants, VIPP1 plays crucial roles in the biogenesis and repair of thylakoid membrane protein complexes and in coping with chloroplast membrane stress. In chloroplasts, VIPP1 localizes in distinct patterns at or close to envelope and thylakoid membranes. In vitro, VIPP1 forms higher-order oligomers of >1 MDa that organize into rings and rods. However, it remains unknown how VIPP1 oligomerization is related to function. Using time-resolved fluorescence anisotropy and sucrose density gradient centrifugation, we show here that Chlamydomonas reinhardtii VIPP1 binds strongly to liposomal membranes containing phosphatidylinositol-4-phosphate (PI4P). Cryo-electron tomography reveals that VIPP1 oligomerizes into rods that can engulf liposomal membranes containing PI4P. These findings place VIPP1 into a group of membrane-shaping proteins including epsin and BAR domain proteins. Moreover, they point to a potential role of phosphatidylinositols in directing the shaping of chloroplast membranes.
Phonon blockade in a nanomechanical resonator quadratically coupled to a two-level system
Authors: Shi Hai-Quan , Xu Xun-Wei , Liu Nian-Hua 
Published: June 2019

AbstractWe investigate phonon statistics in a nanomechanical resonator (NAMR), which is quadratically coupled to a two-level system, by driving the NAMR and two-level system simultaneously. We find that unconventional phonon blockade (UCPNB), i.e., strong phonon antibunching effect based on quantum interference, can be observed when driven fields are weak. By increasing the strengths of the driving fields, we show the crossover from the UCPNB to the conventional phonon blockade (CPNB), which is induced by the strong nonlinear interaction of the system. Moreover, under the strong coupling condition for CPNB, quantum interference effect can also be used to enhanced the phonon blockade by optimizing the phase difference of the two external driving fields.
Multiplex optical detection and quantification of DNA fragments by metallo-peptide assemblies
Authors: Saha Abhijit , Reches Meital 
Published: June 2019

AbstractRapid detection of infectious agents such as bacteria and viruses are important for proper health management, agriculture and homeland security. This paper presents a multiplex DNA detection system self-assembled by a metallo-peptide complex. Within five minutes, the system can simultaneously detect multiple DNA fragments, without any need for their separation. The presence of proteins in the sample does not harm the detection capabilities of the system, which can discriminate even between one base-pair mismatch and can perform at concentrations as low as 200 pM.
Shared Molecular Signatures Across Neurodegenerative Diseases and Herpes Virus Infections Highlights Potential Mechanisms for Maladaptive Innate Immune Responses
Authors: Costa Sa Ana Caroline , Madsen Heather , Brown James R. 
Published: June 2019

AbstractGrowing evidence suggests that peripheral factors to the brain driving neuro-inflammation could affect Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) severity. Herpes simplex virus type 1 (HSV1) infection has been associated with AD while other related viruses, including cytomegalovirus (CMV), Epstein-Bar virus and human herpesvirus 6 (HHV6), are known to infect neurons. Here we compare gene expression profiles between AD or PD patients to those afflicted with herpes viral infections as to discover novel potential neuro-inflammation pathways. We found multiple significant differentially expressed genes (DEGs) shared between AD/PD and viral infections including SESN3 which has a genetic association for increased AD risk. Pathway enrichment analysis revealed viruses shared Oxidative Stress Defense System and LRRK2 pathways with AD and PD, respectively. We further processed our data to identify novel target and drug-repurposing opportunities including anti-inflammatory therapy, immune-modulators and cholinesterase inhibitors which could lead to new therapeutics paradigms for these neurodegenerative diseases.