Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile edge CoMPUTiNg-eNAbled 5 g VeHiCUlAR NeTWoRKS

2 ||| 1556-6072/19©2019ieee ieee vehicular technology magazine | march 2019 To meet the requirements of real-time and missioncritical applications in vehicular networks, mobile edge computing (MEC) has become an emerging ecosystem that extends the centralized cloud computing capability to the edge close to terminal devices. Although MEC can bring various benefits, such as highefficiency use of mobile backhaul networks, coping with the ever-increasing demands of ubiquitous connectivity, energy-efficient computation, and ultralow latency is still challenging. Nonorthogonal multiple access (NOMA) technology is acknowledged as a promising solution to provide massive connectivity and ubiquitous communications in 5G. Currently, more than 60% of the population in the world has mobile subscriptions, whereas this number was 20% 10 years ago. The ever-increasing mobile services are supported by the huge number of smart devices equipped with sensors in the Internet of Things (IoT), where the generated mobile data are expected to grow by 53% annually from now through 2020 [1]. As an important branch of the IoT, the Internet of Vehicles is playing a key role for traffic management and road safety. By 2020, more than 1.5 billion vehicles will be connected. Each vehicle will generate around 30 TB of data within a day, challenging the ever-saturating spectrum bandwidth. On one hand, although the cellular network can provide citywide network access, it is difficult to cope with the unprecedented growth of mobile data traffic. On the other hand, the huge volume of data has not only become an albatross for the current cloud-based infrastructure but also caused unbearable transmission delay and low quality of user experience. Mobile cloud computing (MCC) is powerful enough to offload network traffic and guarantee network security in a centralized manner. Although MCC-based infrastructures are designed to manage network resources in wireless networks, they are not high efficiency and scalable enough, especially in the coming big data era of vehicular networks. The reasons are 1) they impose significant costs (such as time, bandwidth, and energy) on data transmission from clouds to vehicles, 2) satisfying user quality of service (QoS) and extracting real-time and valuable information from vehicles is difficult for central clouds, and 3) it Digital Object Identifier 10.1109/MVT.2018. 2882873
Modified Hubble ’ s law and the primordial cosmic black hole

Part-1: It is noticed that c 4 G is the classical limit of force and c G is the classical limit of power. For any rotating celestial body, the 3 critical conditions are : magnitude of ‘kinetic energy’ never crosses ‘rest energy’, magnitude of ‘torque’ never crosses ‘potential energy’ and magnitude of mechanical power never crosses ( c/G ) . With these conditions, mathematical complexity involved in GTR and black hole physics can be simplified. Now this is the time to re-examine the foundations of modern black hole physics. Planck mass can be derived very easily. Light speed rotating black hole‘s formation can be understood. Force c 4 G keeps the light speed rotating black hole stable. It is noticed that, any elementary particle can escape from the light speed rotating black hole‘s equator. Origin of cosmic rays can be understood in this view. GTR and quantum mechanics can be coupled in a unified manner. Rotating black hole temperature formula can be derived very easily. Part-2: The concept of ‘dark energy’ is still facing and raising a number of fundamental unresolved problems. ‘Cosmic acceleration’,‘dark energy’ and ‘inflation’, are the results of Edwin Hubble’s incomplete conclusions. If there is a misinterpretation in Hubble’s law flat model of cosmology can not be considered as a correct model of cosmology. If the primordial universe is a natural setting for the creation of black holes and other nonperturbative gravitational entities, it is also possible to assume that throughout its journey, the whole universe is a primordial cosmic black hole. Planck particle can be considered as the baby universe. Part-3: Key assumption is that, “at any time, cosmic black hole rotates with light speed”. Cosmic temperature is inversely proportional to the geometric mean of cosmic mass and planck mass. For this growing cosmic sphere as a whole, while in light speed rotation, ‘rate of decrease’ in temperature is a “primary” measure of cosmic ‘rate of expansion’. It can be suggested that, ‘rate of increase in galaxy red shift’ from and about the cosmic center is a “secondary” measure of cosmic ‘rate of expansion’. Present ‘cosmic mass density’ and ‘cosmic time’ are fitted with the natural logarithm of ratio of cosmic volume and planck particle’s volume. If present CMBR temperature is isotropic at 2.725 Kelvin, present angular velocity is 2.17 x 10−18 rad/sec = 67 Km/sec/Mpc.
Innovation with digital startups using Corporate Aceelerators – A review of the current state of research

National Security Agency OECD Organisation for Economic Co-operation and Development OSZE Organisation für Sicherheit und Zusammenarbeit in Europa PKGr Parlamentarisches Kontrollgremium PNR Passenger Name Record PPP Public-Private Partnership SIGINT Signals Intelligence SIT Strategische Initiative Technik SWP Stiftung Wissenschaft und Politik TA Technische Aufklärung TFTP Terrorist Finance Tracking Programme TKÜ Telekommunikationsüberwachung TTIP Transatlantic Trade and Investment Partnership UP KRITIS Umsetzungsplan für (kritische) Infrastrukturen VN Vereinte Nationen VSBM Vertrauensund sicherheitsbildende Maßnahmen WEF World Economic Forum WSIS World Summit on the Information Society ZKA Zollkriminalamt Lektüreempfehlungen
Prevalence of ESR1 Mutations in Cell-Free DNA and Outcomes in Metastatic Breast Cancer: A Secondary Analysis of the BOLERO-2 Clinical Trial.

Importance Estrogen receptor α (ESR1) mutations found in metastatic breast cancer (MBC) promote ligand-independent receptor activation and resistance to estrogen-deprivation therapy in laboratory models. The prevalence of these mutations and their potential impact on clinical outcomes has not been established. Objective To determine the prevalence of ESR1 mutations (Y537S and D538G) in estrogen receptor (ER)-positive MBC and determine whether mutation is associated with inferior outcomes. Design, Setting, and Participants From December 16, 2014, to August 26, 2015, we analyzed cell-free DNA (cfDNA) from baseline plasma samples from participants in the BOLERO-2 double-blind phase 3 study that randomized patients from 189 centers in 24 countries with MBC to exemestane plus placebo or exemestane plus everolimus. The study enrolled postmenopausal women with a diagnosis of MBC and prior exposure to an aromatase inhibitor. Baseline plasma samples were available from 541 of 724 patients (74.7%). We assessed the effect of mutation on overall survival of the population and the effect of mutation on progression-free survival (PFS) by treatment arm. Interventions Patients were randomized to treatment with exemestane (25 mg oral daily) together with everolimus (10 mg oral daily) or with placebo. Main Outcomes and Measures The 2 most frequent mutations in ESR1 (Y537S and D538G) were analyzed from cfDNA using droplet digital polymerase chain reaction and samples scored as wild-type, D538G, Y537S, or double mutant. Cox-proportional hazards model was used to assess PFS in patient subgroups defined by mutations, and the effect of each mutation on overall survival. Results Of 541 evaluable patients, 156 (28.8%) had ESR1 mutation D538G (21.1%) and/or Y537S (13.3%), and 30 had both. These mutations were associated with shorter overall survival (wild-type, 32.1 months [95% CI, 28.09-36.40 months]; D538G, 25.99 months [95% CI, 19.19-32.36 months]; Y537S, 19.98 months [13.01-29.31 months]; both mutations, 15.15 months [95% CI, 10.87-27.43 months]). The D538G group (hazard ratio, 0.34 [95% CI, 0.02-0.57]) derived a similar PFS benefit as wild type from addition of everolimus to exemestane. Conclusions and Relevance ESR1 mutations are prevalent in ER-positive aromatase inhibitor-treated MBC. Both Y537S and D538G mutations are associated with more aggressive disease biology. Trial Registration clinicaltrials.gov Identifier: NCT00863655.
Ju l 2 01 8 Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data

Deep Learning has the hierarchical network architecture to represent the complicated features of input patterns. Such architecture is well known to represent higher learning capability compared with some conventional models if the best set of parameters in the optimal network structure is found. We have been developing the adaptive learning method that can discover the optimal network structure in Deep Belief Network (DBN). The learning method can construct the network structure with the optimal number of hidden neurons in each Restricted Boltzmann Machine and with the optimal number of layers in the DBN during learning phase. The network structure of the learning method can be self-organized according to given input patterns of big data set. In this paper, we embed the adaptive learning method into the recurrent temporal RBM and the selfgenerated layer into DBN. In order to verify the effectiveness of our proposed method, the experimental results are higher classification capability than the conventional methods in this paper.
LEARNING-BASED CONTROL : APPLICATIONS IN TREATMENT OF COMPLEX SUBSTRATES USING NON-EQUILIBRIUM PLASMAS

Overview Learning-based control can create unprecedented opportunities for control of non-equilibrium plasmas for treatment of complex substrates in applications such as plasma medicine and plasma catalysis. This work discusses two learning-based control strategies, namely learning-based robust nonlinear predictive control using Gaussian processes and sim-to-real transfer reinforcement learning, for control of the thermal effects of atmospheric-pressure plasma jets.
THERMAL CONVECTION IN SOLID NITROGEN , AND THE DEPTH AND SURFACE AGE OF CELLULAR TERRAIN WITHIN SPUTNIK PLANUM

CELLULAR TERRAIN WITHIN SPUTNIK PLANUM, PLUTO. William B. McKinnon, F. Nimmo, Teresa Wong, J.S. Roberts, P.M. Schenk, J.M. Moore, J.R. Spencer, A.D. Howard, O.M. Umurhan, S.A. Stern, H.A. Weaver, L.A. Young, C.B. Olkin, K. Ennico, and the New Horizons Geology, Geophysics, and Imaging Team; Dept. Earth and Planet. Sci. & McDonnell Center for the Space Sci., Washington Univ. in St. Louis, Saint Louis, MO 63130 (mckinnon@wustl.edu), Dept. Earth and Planetary Sci., UC Santa Cruz, Santa Cruz CA, 95064, JHUAPL, Laurel, MD 20723, LPI, Houston, TX 77058, NASA Ames Research Center, Moffett Field, CA 94035, SwRI, Boulder, CO 80302, Dept. Environmental Sci., Univ. of Virginia, Charlottesville, VA 22904.
Building a Beacon Format Standard : An Exercise in Limiting the Power of a TTP

We discuss the development of a new format for beacons– servers which provide a sequence of digitally signed and hash-chained public random numbers on a fixed schedule. Users of beacons rely on the trustworthiness of the beacon operators. We consider several possible attacks on the users by the beacon operators, and discuss defenses against those attacks that have been incorporated into the new beacon format. We then analyze and quantify the effectiveness of those defenses.
The Loading Curve of Spherical Indentions Is Not a Parabola and Flat Punch Is Linear

The purpose of this paper is the physical deduction of the loading curves for spherical and flat punch indentations, in particular as the parabola assumption for not self-similar spherical impressions appears impossible. These deductions avoid the still common first energy law violations of ISO 14577 by consideration of the work done by elastic and plastic pressure work. The hitherto generally accepted “parabolas” exponents on the depth h (“2 for cone, 3/2 for spheres, and 1 for flat punches”) are still the unchanged basis of ISO 14577 standards that also enforce the up to 3 + 8 free iteration parameters for ISO hardness and ISO elastic indentation modulus. Almost all of these common practices are now challenged by physical mathematical proof of exponent 3/2 for cones by removing the misconceptions with indentation against a projected surface (contact) area with violation of the first energy law, because the elastic and inelastic pressure work cannot be obtained from nothing. Physically correct is the impression of a volume that is coupled with pressure formation that creates elastic deformation and numerous types of plastic deformations. It follows the exponent 3/2 only for the cones/pyramids/wedges loading parabola. It appears impossible that the geometrically not self-similar sphere loading curve is an h3/2 parabola. Hertz did only deduce the touching of the sphere and Sneddon did not get a parabola for the sphere. The radius over depth ratio is not constant with the sphere. The apparently good correlation of such parabola plots at large R/h ratios and low h-values does not withstand against the deduced physical equation for the spherical indentation loading curve. Such plots are unphysical for the sphere and so tried regression results indicate data-treatments. The closed physical deduction result consists of the exponential factor h3/2 and a dimensionless correction factor that is depth dependent. The non-parabola against force plot using published data is concavely bent even for large radius/depth-ratios at the shallow indents. The capabilities of conical/pyramidal/wedged indentations are thus lost. These facts are outlined for experimental nano- and micro-indentations. Spherical indentations reveal that linear data regression is suspicious and worthless if it does not correspond with physical reality. This stresses the necessity of the straightforward deductions of the correct relations on the basis of iteration-less and fitting-less undeniable calculation rules on an undeniable basic physical understanding. The straightforward physical deduction of the flat punch indentation is therefore also presented, together with formulas for the physical indentation hardness, indentation work, and applied work for these geometrically self-similar indentations. It is exemplified with a macroindentation.
Title Marginal likelihoods in phylogenetics : a review of methods and applications Permalink

By providing a framework of accounting for the shared ancestry inherent to all life, phylogenetics is becoming the statistical foundation of biology. The importance of model choice continues to grow as phylogenetic models continue to increase in complexity to better capture micro and macroevolutionary processes. In a Bayesian framework, the marginal likelihood is how data update our prior beliefs about models, which gives us an intuitive measure of comparing model fit that is grounded in probability theory. Given the rapid increase in the number and complexity of phylogenetic models, methods for approximating marginal likelihoods are increasingly important. Here we try to provide an intuitive description of marginal likelihoods and why they are important in Bayesian model testing. We also categorize and review methods for estimating marginal likelihoods of phylogenetic models. In doing so, we use simulations to evaluate the performance of one such method based on approximate-Bayesian computation (ABC) and find that it is biased as predicted by theory. Furthermore, we review some applications of marginal likelihoods to phylogenetics, highlighting how they can be used to learn about models of evolution from biological data. We conclude by discussing the challenges of Bayesian model choice and future directions that promise to improve the approximation of marginal likelihoods and Bayesian phylogenetics as a whole.
concrete structures using noncontact laser vibrometry Reconstructing interfacial force distribution for identification of multi-debonding in steel-reinforced

Interfacial debonding in multilayered engineering structures can jeopardize the structural integrity without timely awareness. By reconstructing the distribution of interfacial forces and canvassing local perturbance to the structural dynamic equilibrium, an identification approach for interfacial debonding between different structural components was developed. A ‘‘debonding index,’’ governed by the derivatives of reconstructed interfacial forces, was established, able to predict debonding in a quantitative manner including the coexistence of multi-debonding and their individual locations and sizes. The index offers the flexibility of detecting debonding between a beam-like component and its neighboring constituents of any type (beam, plate, shell, or even more complex components) with distinct material properties. To enhance the robustness of the approach under noisy measurement conditions, two denoising techniques (low-pass wavenumber filtering and adjustment of measurement density), together with a data fusion algorithm, were proposed. Using a noncontact laser vibrometry, the approach was validated experimentally by identifying multiple debonding zones in a steelreinforced concrete slab dismantled from a bridge model. The approach has been demonstrated sensitive to debonding of small dimension owing to the use of high-order differential equation of motion. In addition, it does not require a global model of the entire system, prior information on structural boundaries, benchmark, baseline signals, and additional excitation sources as long as the structure undergoes steady vibration.
Was There a Culture War? Partisan Polarization and Secular Trends in US Public Opinion

According to many scholars of public opinion, most of the fast-growing divides between Democrats and Republicans over the last few decades have taken place on moral issues. We find that the process of issue partisanship—the sorting of political preferences along partisan lines—properly accounts for public opinion dynamics in the economic and civil rights domains. However, when it comes to moral issues, the prominent change is a partisan secular trend, in which both Democrats and Republicans are adopting more progressive views, although at a different rate. While Democrats are early adopters of progressive views, Republicans adopt the same views at a slower pace. This secular change can be easily (mis)interpreted as a sign of polarization since, at the onset of the process, the gap between party supporters broadens because of the faster pace at which Democrats adopt progressive views, and only toward the end, the gap between partisan supporters decreases.
UvA-DARE (Digital Academic Repository) Supervision hampers distributional learning of vowel contrasts

We investigate how supervision (in the form of explicit instruction) interacts with distributional learning in the acquisition of the perception of a novel vowel contrast in a second language. An experiment with non-Dutch-speaking Bulgarians reveals that listeners who receive bimodal distributional training without explicit instruction can acquire new Dutch vowel contrasts, and that listeners who receive the same training with explicit instruction do not acquire the new contrasts nearly as well. We conclude that explicit instruction hampers distributional learning.
Benefit effects of aerobic exercise and resistance training on the management of type 2 diabetes

To examine the effects of combined exercise (aerobic exercise and resistance training) on the management of type 2 diabetes. Articles published in English and Chinese based on a search of MEDLINE, Excerpta Medica Database (EMBASE) and China National Knowledge Infrastructure (CNKI) databases were the source for this metaanalysis. A significant difference in maximal oxygen consumption [VO2max] was demonstrated between the combined exercise and non-exercise groups (Weighted mean difference: WMD = 2.66 ml/[kg/min], 95% CI = 1.80~3.51, P < 0.05). Combined exercise reduced the HbA1c concentration (WMD = -0.40%, 95% CI = -0.54~-0.26, P < 0.05), BMI (WMD = -1.09 kg/m2, 95% CI = -1.70~-0.49, P < 0.05), decreased the waist circumstance (WMD = -3.48 cm, 95% CI = -5.28~-1.6, P < 0.05), reduced the amount of abdominal subcutaneous fat (WMD = -104.14 cm2, 95% CI = -136.02~-72.27, P < 0.05), and reduced the amount of abdominal visceral fat (WMD = -32.26 cm2, 95% CI = -56.87~-7.66, P < 0.05). In addition, combined exercise reduced the SBP (WMD = -5.47 mmHg, 95% CI = -7.74~3.20, P < 0.05), and DBP (WMD = 2.75 mg/dl, 95% CI = -4.10~-1.41, P < 0.05) and TG (WMD = -12.61 mg/dl, 95% CI = -24.00~-1.21, P < 0.05), and increased the HDL-C (2.91 mg/dl, 95% CI: 1.22-4.61, P < 0.05). Combined exercise is recommended in the management of type 2 diabetes patients.
1 Using Zooming Applications for Mobile Devices

Although mobile devices, cellular phones, Personal Digital Assistants (PDAs) and other handheld devices have hardware constraints such as small screen, small storage, low CPU speed, and low resolution, their popularity has been enormously increasing. This is enhancing the opportunities for researchers to overcome those open problems caused of small size hardware constraints. However, still the biggest difficulty is that these devices are too difficult to load today’s visual information because most current information is based on a large visual documentation. How do we present information effectively on mobile devices? This is a main challenge for mobile interface developers since viewing is becoming more and more crucial point in our daily lives. One of the methods is to build a Zoomable User Interfaces (ZUIs) by using several zooming tools so that the amount of information, which needs to be handled by users, can be shown on a small screen unlimitedly. Smooth zooming technology helps users to interact with their sense of the focus-and-context by shifting the cognitive load to the human visual system, and it can provide a possible solution that satisfies the above demands by means of increasing the effectiveness for using the small screen. Thus supporting zooming tools on mobile devices is a necessary item with enabling users to effectively control the zooming methods. The goal of this paper is to increase the performance of user interfaces by developing zooming tools on mobile devices. Three zooming approaches will be introduced in this paper. First, focus zooming tools, which consists of the magnifying glass that was introduced from a “Bifocal Display” (Apperley, Tzavaras, and Spence, 1982), the gray scaling and blurring lens that was introduced from a “Focus+Context Visualization” (Giller, Tscheligim, Schrammel, Fröhlich, and Rabl, 2001), will be proposed. Second, file zooming tools including zoom-in and zoom-out functions to enlarge or reduce data and images based on the geometric zooming technology will be proposed. Finally, search zooming tools, which have two functions support a popup zooming and a shadow zooming functions to assist user easy to control for seeing many files on the device, will be introduced. Furthermore, the paper addresses a new usability testing method which combines heuristic, scenarios, and questionnaire approaches in order to effectively take experimental results from users. Its testing methods and procedures will be introduced by conducting usability test with user.