Tunnel effect wave energy detection

Methods and apparatus for measuring gravitational and inertial forces, magnetic fields, or wave or radiant energy acting on an object or fluid in space provide an electric tunneling current through a gap between an electrode and that object or fluid in space and vary that gap with any selected one of such forces, magnetic fields, or wave or radiant energy acting on that object or fluid. These methods and apparatus sense a corresponding variation in an electric property of that gap and determine the latter force, magnetic fields, or wave or radiant energy in response to that corresponding variation, and thereby sense or measure such parameters as acceleration, position, particle mass, velocity, magnetic field strength, presence or direction, or wave or radiant energy intensity, presence or direction

Tunnel effect measuring systems and particle detectors

Methods and apparatus for measuring gravitational and inertial forces, magnetic fields, or wave or radiant energy acting on an object or fluid in space provide an electric tunneling current through a gap between an electrode and that object or fluid in space and vary that gap with any selected one of such forces, magnetic fields, or wave or radiant energy acting on that object or fluid. These methods and apparatus sense a corresponding variation in an electric property of that gap and determine the latter force, magnetic fields, or wave or radiant energy in response to that corresponding variation, and thereby sense or measure such parameters as acceleration, position, particle mass, velocity, magnetic field strength, presence or direction, or wave or radiant energy intensity, presence or direction

Weather and Management Impact on Crop Yield Variability in Rotations

Crop rotations are designed to increase productivity and reduce costs. These advantages are contingent upon favorable weather and require appropriate management. Unpredictable weather poses risks to dryland crop production. Information on how weather affects yields in different cropping systems and how farmers could respond with management would help minimize risk and stabilize yield and income. We evaluated the effects of preseason and growing season weather variability on continuous and sequential cropping of corn, sorghum, and soybean in a 12-yr span, and suggest how management decisions could influence cropping system performance. Models of different levels of sophistication have been developed to link yields of individual crops with weather factors. But there is a paucity of information on how weather and management affect yields in whole cropping systems. Furthermore, many models demand a large amount of input data, which is a major limitation to routine application by potential users. This study developed simple empirical models to relate yield and management with a combined index of composite weather variables in whole cropping systems. The study was conducted from 1984 to 1995 at the Agricultural Research and Development Center near Mead, NE. Correlation and regression analyses were used to relate system performance to weather. Yield was the dependent variable and several combined indices of weather factors were predictor variables. The combined indices of weather or composite weather variables were biological windows (BW) and standardized precipitation index (SPI). Biological windows represent the time during the entire year during which rainfall and air temperature favor biological activities. The biological windows are derived from the mean monthly precipitation and temperature data. The SPI is the difference of precipitation from the long-term average (\u3e30 yr) divided by the standard deviation, a measure used to determine how wet or dry a period of time is compared with average weather patterns, up to a certain date. Both BW and SPI are calculated with simple computer programs. Standard deviation was used as a measure of yield/income variability. Weather effects on yield and income fluctuations of the cropping systems are discussed, along with potentials for the farmer to influence this variability through management

Methods and apparatus for improving sensor performance

Methods and apparatus for improving performance of a sensor having a sensor proof mass elastically suspended at an initial equilibrium position by a suspension force, provide a tunable force opposing that suspension force and preset the proof mass with that tunable force to a second equilibrium position less stable than the initial equilibrium position. The sensor is then operated from that preset second equilibrium position of the proof mass short of instability. The spring constant of the elastic suspension may be continually monitored, and such continually monitored spring constant may be continually adjusted to maintain the sensor at a substantially constant sensitivity during its operation

Understanding Farmers’ Forecast Use from Their Beliefs, Values, Social Norms, and Perceived Obstacles

Although the accuracy of weather and climate forecasts is continuously improving and new information retrieved from climate data is adding to the understanding of climate variation, use of the forecasts and climate information by farmers in farming decisions has changed little. This lack of change may result from knowledge barriers and psychological, social, and economic factors that undermine farmer motivation to use forecasts and climate information. According to the theory of planned behavior (TPB), the motivation to use forecasts may arise from personal attitudes, social norms, and perceived control or ability to use forecasts in specific decisions. These attributes are examined using data from a survey designed around the TPB and conducted among farming communities in the region of eastern Nebraska and the western U.S. Corn Belt. There were three major findings: 1) the utility and value of the forecasts for farming decisions as perceived by farmers are, on average, around 3.0 on a 0–7 scale, indicating much room to improve attitudes toward the forecast value. 2) The use of forecasts by farmers to influence decisions is likely affected by several social groups that can provide “expert viewpoints” on forecast use. 3) A major obstacle, next to forecast accuracy, is the perceived identity and reliability of the forecast makers. Given the rapidly increasing number of forecasts in this growing service business, the ambiguous identity of forecast providers may have left farmers confused and may have prevented them from developing both trust in forecasts and skills to use them. These findings shed light on productive avenues for increasing the influence of forecasts, which may lead to greater farming productivity. In addition, this study establishes a set of reference points that can be used for comparisons with future studies to quantify changes in forecast use and influence

Concert recording 2018-11-13

[Track 1]. Douzes etudes pour Caisse Claire. No. 1 / Jacques Delecluse -- [Track 2]. Ghost garden / Adam Hopper -- [Track 3]. Rotation no. 4 / Eric Sammut -- [Track 4]. Nine French-American rudimental solos. No. 6 / Unknown -- [Track 5]. Advanced studies for snare drum. No. 3 / Mitchell Peters -- [Track 6]. Tempest / Todd Ukena -- [Track 7]. Excerpt from Northern lights / Eric Ewazen -- [Track 8]. Caleidoscópio / Gene Koschinksi -- [Track 9]. Advanced studies for snare drum. No. 1 / Peters -- [Track 10]. Sweet dreams from Album for the young / Tchaikovsky arranged by L.H. Stevens -- [Track 11]. Furioso and valse in D minor / Earl Hatch -- [Track 12]. Pratt\u27s taps / William Schinstine -- [Track 13]. Max / J.C. Combs -- [Track 14]. Raga no. 1 / William Cahn -- [Track 15]. Sechs Miniaturen. No. 3 / Matthias Schmitt -- [Track 16]. Eden / Adam Miller -- [Track 17]. Four pieces for timpani. Mvts. 3 & 4 / John Bergamo -- [Track 18]. Swerve / Gene Kaschinski -- [Track 19]. White knuckle stroll / Casey Cangelosi -- [Track 20]. Evergreen / Benjamin Finley -- [Track 21]. Time remembered / Branden Steinmetz

Concert recording 2019-04-16

[Track 1]. Rotation #2 / Eric Sammut -- [Track 2]. Pines of Rome mvt 1 / Ottorino Respighi -- [Track 3]. Chart #2 / Fernando Valencia -- [Track 4]. Chopstakovich / Jesse Sieff -- [Track 5]. Drei Skizzen mvt. III / Matthias Schmitt -- [Track 6]. Sonata no. 1 for G in violoncello. Prelude [Track 7]. Sarabande [Track 8]. Courante / J.S. Bach -- [Track 9]. #1 from Douze Etudes / Jacques Delecluse -- [Track 10]. The offering / Michael Burritt -- [Track 11]. Prelude and blues / Ney Rosauro -- [Track 12]. Danny boy / traditional arranged by Brian Mueller -- [Track 13]. Ransom / Mark Ford -- [Track 14]. Sonata for timpani mvt III / John Beck -- [Track 15]. Dr. Gradus ad Parnassum / Claude Debussy arranged by Paul Bissell -- [Track 16]. Etude #1 / Vic Firth -- [Track 17]. Highlights from Northern lights / Eric Ewazen -- [Track 18]. Jesus loves me / Chad Floyd -- [Track 19]. Faded lines / Andrea Venet - [Track 20]. Triplets / George Hamilton Green arranged by Bob Becker -- [Track 21]. Girlfriends medley / Bob Becker -- [Track 22]. Selections from Oru Secu. Guaguancó [Track 23]. Guarapachangueo / Traditional trans. Valencia

A High Statistics Search for Ultra-High Energy Gamma-Ray Emission from Cygnus X-3 and Hercules X-1

We have carried out a high statistics (2 Billion events) search for ultra-high energy gamma-ray emission from the X-ray binary sources Cygnus X-3 and Hercules X-1. Using data taken with the CASA-MIA detector over a five year period (1990-1995), we find no evidence for steady emission from either source at energies above 115 TeV. The derived upper limits on such emission are more than two orders of magnitude lower than earlier claimed detections. We also find no evidence for neutral particle or gamma-ray emission from either source on time scales of one day and 0.5 hr. For Cygnus X-3, there is no evidence for emission correlated with the 4.8 hr X-ray periodicity or with the occurrence of large radio flares. Unless one postulates that these sources were very active earlier and are now dormant, the limits presented here put into question the earlier results, and highlight the difficulties that possible future experiments will have in detecting gamma-ray signals at ultra-high energies.Comment: 26 LaTeX pages, 16 PostScript figures, uses psfig.sty to be published in Physical Review

A Guide for Social Science Journal Editors on Easing into Open Science

Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online community for social science journal editors: www.dpjedi.org) has collated several resources on embedding open science in journal editing (www.dpjedi.org/resources). However, it can be overwhelming as an editor new to open science practices to know where to start. For this reason, we created a guide for journal editors on how to get started with open science. The guide outlines steps that editors can take to implement open policies and practices within their journal, and goes through the what, why, how, and worries of each policy and practice. This manuscript introduces and summarizes the guide (full guide: https://osf.io/hstcx).<br/

A guide for social science journal editors on easing into open science

Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online community for social science journal editors: www.dpjedi.org) has collated several resources on embedding open science in journal editing (www.dpjedi.org/resources). However, it can be overwhelming as an editor new to open science practices to know where to start. For this reason, we created a guide for journal editors on how to get started with open science. The guide outlines steps that editors can take to implement open policies and practices within their journal, and goes through the what, why, how, and worries of each policy and practice. This manuscript introduces and summarizes the guide (full guide: https://osf.io/hstcx)