Using ChatGPT with Novice Arduino Programmers: Effects on Performance, Interest, Self-Efficacy, and Programming Ability

A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n =17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming, Arduino programming self-efficacy, Arduino programming posttest scores, and types of programming errors. Students were undergraduates in an introductory agricultural systems technology course in Fall 2023. The results indicated no significant (p \u3c .10) differences between groups for programming rubric scores (p = .50) or interest in Arduino programming (p = .50). There were significant differences for Arduino programming self-efficacy, (p = .03, Cohen’s d = 0.75) and Arduino posttest scores, (p = .03, Cohen’s d = 0.76); students in the self-programming group scored significantly higher on both measures. Analysis of students’ errors indicated the ChatGPT group made significantly (p \u3c .01) more program punctuation errors. These results indicated novice students writing their own programs developed greater Arduino programming self-efficacy and programming ability than novice students using ChatGPT. Nevertheless, ChatGPT may still play an important role in assisting novices to write microcontroller programs

Implementación de la base de datos para intervenir redes de la captación de agua con fines de mantenimiento en Colasay - Provincia Jaén

En esta investigación se busca implementar una base de datos espacial para almacenar la información del Área técnica municipal (ATM) de la Municipalidad Distrital de Colasay – Provincia de Jaén – Departamento Cajamarca, producto de que la existente utiliza métodos rudimentarios y se encuentra dividida en dos áreas lo cual ha generado con el tiempo que la información se pierda y no se encuentra bien organizada. El fin de la base de datos es permitir a la entidad tener la información necesaria para poder realizar intervenciones con fines de mantenimiento para uso adecuado de los recursos hídricos captados de la fuente para el consumo de la población. Para lograr con los objetivos planteados se ha considerado la posibilidad de utilizar el sistema de información geográfica la cual se ha convertido en una herramienta muy valiosa para este tipo de casos. El software usado para la investigación es el QGIS, este permite realizar la digitalización gráfica de la información y mediante el aplicativo PostgreSQL con su extensión de PostGIS se ha creado una base de datos espacial, la cual contiene la información de las redes de conducción, la fuente de captación, la planta de tratamiento de agua y el reservorio

Using the virtual reference stations (VRS) concept for long-range airborne GPS kinematic positioning

In this paper, the potential of long-range kinematic GPS positioning with a multiple reference station (MRS) network for airborne applications is discussed. A novel method of creating Virtual Reference Stations (VRS) is proposed for post-processed airborne GPS kinematic applications, which is called the modified semi-kinematic VRS method (MS-VRS). The purpose of the VRS is to generate data from real GPS observations made by the MRS network, resembling that of a non-existing (virtual) reference station situated close to the project area, so that the commonly used methods for short-range kinematic GPS data processing can be used to determine the position of the aircraft. During the initial phase, the VRS of the MS-VRS method refers to a fixed position according to the aircraft's initial approximate position, and the corrections are applied according to the aircraft's trajectory. The MS-VRS method differs from the conventional VRS method and semi-kinematic VRS method (S-VRS) in that when the aircraft's current approximate position is more than 10 km from the initial VRS position, a new VRS is created. The MS-VRS data can be generated in RINEX format, so that it can be processed using any kinematic GPS post-processing software. Using a simulated kinematic test with static data, the MS-VRS method showed a 12.1 to 47.6 percent improvement in the three coordinate components with respect to the conventional single reference station (SRS) approach. Tests and analysis with real airborne GPS data are presented in some detail using a MRS network and flight test data in Norway. The results indicate that centimetre-level accuracy can be achieved based on the proposed MS-VRS method, which is superior to the S-VRS method, with improvements of 11.4 to 47.4 percent in terms of standard deviations of the coordinate domain

Cosmological implications of massive gravitons

The van Dam-Veltman-Zakharov (vDVZ) discontinuity requires that the mass $m$ of the graviton is exactly zero, otherwise measurements of the deflection of starlight by the Sun and the precession of Mercury's perihelion would conflict with their theoretical values. This theoretical discontinuity is open to question for numerous reasons. In this paper we show from a phenomenological viewpoint that the $m>0$ hypothesis is in accord with Supernova Ia and CMB observations, and that the large scale structure of the universe suggests that $m \sim 10^{-30}$eV$/c^2$.Comment: 13 pages, 1 figur

Evolutionary biology and computational grids

The global high performance computing community has seen two overarching changes in the past five years. One of these changes was the consolidation toward SMP clusters as the predominant HPC system architecture. The other change was the emergence of computing grids as an important architecture in high performance computing. Several major national and international projects are now underway to develop grid technologies. Computational grids will increase the resources available to the most advanced computational scientists and encourage the use of advanced techniques by researchers who have not traditionally employed such technologies. In the latter camp are bioinformaticists in general and evolutionary biologists in particular, although this situation is changing rapidly.This work was greatly facilitated by IBM Shared University Research grants to Indiana University in 1998 and 1999

The power spectrum and bispectrum of SDSS DR11 BOSS galaxies - I. Bias and gravity

We analyse the anisotropic clustering of the Baryon Oscillation Spectroscopic Survey CMASS Data Release 11 sample, which consists of 690 827 galaxies in the redshift range 0.43<z<0.70 and has a sky coverage of 8498deg2 corresponding to an effective volume of ∼ 6 Gpc3. We fit the Fourier space statistics, the power spectrum and bispectrum monopoles to measure the linear and quadratic bias parameters, b1 and b2, for a non-linear non-local bias model, the growth of structure parameter f and the amplitude of dark matter density fluctuations parametrized by σ8. We obtain b1(zeff)1.40σ8(zeff)=1.672±0.060 and $b_2^{0.30}(z_{\rm eff})\sigma _8(z_{\rm eff})=0.579\pm 0.082$ at the effective redshift of the survey, zeff=0.57. The main cosmological result is the constraint on the combination f 0.43(zeff)σ8(zeff)=0.582±0.084, which is complementary to fσ8 constraints obtained from two-point redshift-space distortion analyses. A less conservative analysis yields f 0.43(zeff)σ8(zeff)=0.584±0.051. We ensure that our result is robust by performing detailed systematic tests using a large suite of survey galaxy mock catalogues and N-body simulations. The constraints on f 0.43σ8 are useful for setting additional constraints on neutrino mass, gravity, curvature as well as the number of neutrino species from galaxy surveys analyses (as presented in a companion paper

Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space

We present constraints on local primordial non-Gaussianity (PNG), parametrized through $f^{\rm loc}_{\rm NL}$, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure and analyze the anisotropic clustering of the quasars in Fourier space, testing for the scale-dependent bias introduced by primordial non-Gaussianity on large scales. We derive and employ a power spectrum estimator using optimal weights that account for the redshift evolution of the PNG signal. We find constraints of $-51<f^{\rm loc}_{\rm NL}<21$ at 95% confidence level. These are amont the tightest constraints from Large Scale Structure (LSS) data. Our redshift weighting improves the error bar by 15% in comparison to the unweighted case. If quasars have lower response to PNG, the constraint degrades to $-81<f^{\rm loc}_{\rm NL}<26$, with a 40% improvement over the standard approach. We forecast that the full eBOSS dataset could reach $\sigma_{f^{\rm loc}_{\rm NL}}\simeq 5\text{-}8$ using optimal methods and full range of scales.Comment: 28 pages, 12 figures. Comments welcome