A New Strategy For Solving Two Cosmological Problems in Hadron Physics

A new approach to solving two of the cosmological problems (CCPs) is proposed by introducing the Abbott-Deser (AD) method for defining Killing charges in asymptotic de Sitter space as the only consistent means for defining the ground-state vacuum for the CCP. That granted, Einstein gravity will also need to be modified at short-distance nuclear scales, using instead a nonminimally coupled scalar-tensor theory of gravitation that provides for the existence of QCD's two-phase vacuum having two different zero-point energy states as a function of temperature. Einstein gravity alone cannot accomplish this. The scalar field will be taken from bag theory in hadron physics, and the origin of the bag constant B is accounted for by gravity's cosmological constant - noting that the Higgs mechanism does not account for either the curved-space origin of lambda or the mass of composite hadrons. A small Hubble-scale graviton mass naturally appears external to the hadron bag, induced by lambda. This mass is unobservable and gravitationally gauge-dependent. It is shown to be related to the cosmological event horizon in asmyptotic de Sitter space.Comment: 19 pages, 2 figures, 1 tabl

The Pioneer Anomaly and a Rotating G\"odel Universe

Based upon a simple cosmological model with no expansion, we find that the rotational terms appearing in the G/"odel universe are too small to explain the Pioneer anomaly. Although it contributes, universal rotation is not the cause of the Pioneer effect.Comment: 13 pages, 2 figure

Karst Kamp Asbestos Deposits Gallatin County, Montana

Karst Kamp, a southwestern Montana recreation re­sort, is 32 road miles south of Bozeman on the east bank of the Gallatin River in a narrow V-shaped valley flanked on the west by the rugged Madison mountain range and on the east by the equally rough Gallatin range. The asbestos deposit itself lies approximate­ly one-half mile northwest of the ranch on a heavily timbered Al­pine-like slope nearly 1200 feet above the floor of the valley

Essential Fish Habitat project status report

: Groundfish that associate with rugged seafloor types are difficult to assess with bottom-trawl sampling gear. Simrad ME70 multibeam echosounder (MBES) data and video imagery were collected to characterize trawlable and untrawlable areas, and to ultimately improve efforts to determine habitat-specific groundfish biomass. The data were collected during two acoustic-trawl surveys of the Gulf of Alaska (GOA) during 2011 and 2012 by NOAA Alaska Fisheries Science Center (AFSC) researchers. MBES data were collected continuously along the trackline, which included parallel transects (1-20 nmi spacing) and fine-scale survey locations in 2011. Video data were collected at camera stations using a drop camera system. Multibeamderived seafloor metrics were overlaid with the locations of previously conducted AFSC bottomtrawl (BT) survey hauls and 2011 camera stations. Generalized linear models were used to identify the best combination of multibeam metrics to discriminate between trawlable and untrawlable seafloor for the region of overlap between the camera stations or haul paths and the MBES data. The most discriminatory models were chosen based on the Akaike information criterion (AIC). The two best models were developed using data collected at camera stations with either oblique incidence backscatter strength (Sb) or mosaic Sb in combination with bathymetric position index and seafloor ruggedness and described over 54% of the variation between trawlable and untrawlable seafloor types. A map of predicted seafloor trawlability produced from the model using mosaic Sb and benthic-terrain metrics demonstrated that 58% of the area mapped (5,987 km2 ) had \u3e 50% probability of being trawlable and 42% of being untrawlable. The model predicted 69% of trawlable and untrawlable haul locations correctly. Successful hauls occurred in areas with 62% probability of being trawlable and haul locations with gear damage occurred in areas with a 38% probability of being trawlable. This model and map produced from multibeamderived seafloor metrics may be used to refine seafloor interpretation for the AFSC BT surveys and to advance efforts to develop habitat-specific biomass estimates for GOA groundfish populations

Modelling Cosmic-Ray Effects in the Protosolar Disk

The role that Galactic cosmic rays (GCRs) and solar energetic particles (SEPs) play in the dynamic evolution of protosolar disks and the origin of our Solar System is a fundamental one. The GCRs are an important component of the interstellar medium (ISM), and even play a role in correcting the age determinations of some irons versus CAIs (calcium-aluminum inclusions) in meteoroids . Because CRs also are one of the energy transport mechanisms in a planetary nebula, the question of modelling their effect upon this broad subject is a serious topic for planetary science. The problem is addressed here

Lunar Dust and Dusty Plasma Physics

In the plasma and radiation environment of space, small dust grains from the Moon s surface can become charged. This has the consequence that their motion is determined by electromagnetic as well as gravitational forces. The result is a plasma-like condition known as "dusty plasmas" with the consequence that lunar dust can migrate and be transported by magnetic, electric, and gravitational fields into places where heavier, neutral debris cannot. Dust on the Moon can exhibit unusual behavior, being accelerated into orbit by electrostatic surface potentials as blow-off dust, or being swept away by moving magnetic fields like the solar wind as pick-up dust. Hence, lunar dust must necessarily be treated as a dusty plasma subject to the physics of magnetohydrodynamics (MHD). A review of this subject has been given before [1], but a synopsis will be presented here to make it more readily available for lunar scientists

The Value of Pedagogical Preferences: A Case of Personality and Learning Environments in Higher Education

To improve learning outcomes, research evidence has accumulated regarding the principles of teaching and learning; however, students’ perceptions of teaching methods have received little scientific investigation toward enhanced quality of their learning. To provide a demonstration of the value of researching student perceptions of the learning environments in which they find themselves, a sample of preference ratings (n = 69) was examined to test the hypothesis there exist among the Five Factor personality dimensions correlates of preference ratings for three environments: teacher-led, independent-autonomous, and groups.  Results confirmed preference for group learning in our sample and statistically reliable zero-order positive correlations between group-based learning preference and both extraversion and openness scores and between preference for teacher-led environments and openness scores.  First-order correlations showed no significant changes in accounted preference variation when controlling the other personality factors scores.  These findings are discussed with respect to likely social-cognitive and neurodevelopmental bases of group learning effectiveness and the utility of investigating student preferences for improving the quality of learning

Novel Techniques to Eradicate Energy Inefficiencies That Abbreviate The Lifetime of The Cell Phone Based WSNs

The Cell Phone Based WSN of compressed micro-sensors for data acquirement and supervise some surroundings distinctiveness, such as noise, trembling, temperature, and strain. These sensors are entrenched devices accomplished of data communication. In numerous of applications, sensor nodes are deployed over a geo-graphically large region. Due to their configuration, data of measured values must be transferred among stations through these sensor nodes. For this reason a successful, energy efficient routing protocol should be implemented to avoid data loss and additional challenges within limited energy levels. This paper presents a cell phone based routing algorithm for wireless sensor networks, based on the selection of the scheme of dynamic nodes. The key objective is to boost the lifetime of a sensor network while not cooperation data delivery. Significant tasks such as, scrutinize, supervise and determine of energy levels of nodes are handled by these independent mechanisms