Building the ACS Exams Anchoring Concept Content Map for Undergraduate Chemistry

The ability to coherently assess content knowledge throughout an entire undergraduate career represents a significant advantage for programmatic assessment strategies. Chemistry, as a discipline, has an unusual tool in this regard because of the nationally standardized exams from the ACS Exams Institute. These exams are norm-referenced and allow chemistry departments to make comparisons between the performance of their own students relative to national samples; however, currently there appears to be no systematic means for noting students’ content knowledge growth over a four-year degree. The Exams Institute is undertaking the task of organizing content along an anchoring concept or “big ideas” framework to facilitate this type of analysis

Drons col·laboratius

La robòtica col·laborativa és senzillament robots dissenyats per dur a terme treballs de col·laboració amb els humans. Els robots col·laboratius o cobots són cada cop més utilitzats a les indústries. La robòtica col·laborativa és un dels àmbits d'actualitat en aquests moments. Però també és un dels més interessants en més d'un sentit. Com es comuniquen dos drons autònoms que col·laboren per fer una tasca? Com són aquests missatges que s'envien? Que poden fer que no podrien fer sols? Aquestes són algunes de les preguntes que ens volem respondre en aquest projecte. En aquest treball es presenta un disseny i implementació de dos drons terrestres que es comuniquen per col·laborar entre ells per resoldre una tasca.Collaborative robotics is simply robots designed to perform collaborative work with humans. Collaborative robots or cobots are increasingly used in industries. Collaborative robotics is one of the current topics now. But it is also one of the most interesting in more ways than one. How do two autonomous drones that collaborate to perform a task communicate? How are these messages sent? What can they do that they could not do alone? These are some of the questions we want to answer in this project. This work presents a design and implementation of two ground drones that communicate to collaborate with each other to solve a task.La robótica colaborativa es sencillamente robots diseñados para llevar a cabo trabajos de colaboración con los humanos. Los robots colaborativos o cobots son cada vez más utilizados en las industrias. La robótica colaborativa es uno de los ámbitos de actualidad. Pero también es uno de los más interesantes en más de un sentido. ¿Cómo se comunican drones autónomos que colaboran para hacer una tarea? ¿Cómo son estos mensajes que es envían? ¿Qué pueden hacer que no lo podrían hacer solos? Estas son algunas de las preguntas que queremos responder con este proyecto. En este trabajo se presenta un diseño e implementación de dos drones terrestres que se comunican para colaborar entre ellos para resolver una tarea

AffiliAtions: DEvElOPING HIGH-QUAlItY FIElD PROGRAM SOUNDING DAtASEtS

A new procedure is presented which should reduce the time and effort necessary to correct and quality control rawinsonde observations from field experiments, which are often plagued by differing sonde types, biases, errors, and other issues. Field program sondes are characterized by high temporal (3-6 h) and vertical (5-10 m) resolutions and enhanced accuracy, made possible by the large suite of instruments deployed in the experiment, which allows for cross calibration. In comparison, sondes from operational networks only have data at standard and significant levels with 250-500-m and 12-24-h resolution. Upper-air observations from field experiments have numerous applications: environmental condition descriptions, which provide a context for validating and understanding other observations (radar, aircraft, satellite, etc.); heat and moisture budget analyses from which the properties of convection can be inferred Developing a research-quality sonde dataset that is able to meet the scientific objectives of the experiment begins with high-quality observations

Continuous and discrete latent structure models for item response data

latent structure, latent class, latent trait, item analysis, dichotomous factor analysis, Law School Admission Test (LSAT),