Does money matter in inflation forecasting?.

This paper provides the most fully comprehensive evidence to date on whether or not monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s. We explore a wide range of different definitions of money, including different methods of aggregation and different collections of included monetary assets. In our forecasting experiment we use two non-linear techniques, namely, recurrent neural networks and kernel recursive least squares regression - techniques that are new to macroeconomics. Recurrent neural networks operate with potentially unbounded input memory, while the kernel regression technique is a finite memory predictor. The two methodologies compete to find the best fitting US inflation forecasting models and are then compared to forecasts from a naive random walk model. The best models were non-linear autoregressive models based on kernel methods. Our findings do not provide much support for the usefulness of monetary aggregates in forecasting inflation

How Leaders Invest Staffing Resources for Learning Improvement

Analyzes staffing challenges that guide school leaders' resource decisions in the context of a learning improvement agenda, staff resource investment strategies that improve learning outcomes equitably, and ways to win support for differential investment

Cooling of Sr to high phase-space density by laser and sympathetic cooling in isotopic mixtures

Based on an experimental study of two-body and three-body collisions in ultracold strontium samples, a novel optical-sympathetic cooling method in isotopic mixtures is demonstrated. Without evaporative cooling, a phase-space density of $6\times10^{-2}$ is obtained with a high spatial density that should allow to overcome the difficulties encountered so far to reach quantum degeneracy for Sr atoms.Comment: 5 pages, 4 figure

A compact and efficient strontium oven for laser-cooling experiments

Here we describe a compact and efficient strontium oven well suited for laser-cooling experiments. Novel design solutions allowed us to produce a collimated strontium atomic beam with a flux of 1.0\times10^13 s^-1 cm^-2 at the oven temperature of 450 {\deg}C, reached with an electrical power consumption of 36 W. The oven is based on a stainless-steel reservoir, filled with 6 g of metallic strontium, electrically heated in a vacuum environment by a tantalum wire threaded through an alumina multi-bore tube. The oven can be hosted in a standard DN40CF cube and has an estimated continuous operation lifetime of 10 years. This oven can be used for other alkali and alkaline earth metals with essentially no modifications.Comment: 6 pages, 6 figures, Review of Scientific Instruments, in pres

DEVELOPMENT AND VALIDATION OF ENGLISH LEARNING MATERIAL USING FLIP PDF PROFESSIONAL FOR JUNIOR HIGH SCHOOL STUDENTS

Most teachers often use textbook as a primary resource book for ideas and instructional activities as well as giving guides for what they do. This research is focus on developing English learning material using flip PDF professional in Writing skill for Grade VII in SMP N 1 Tapa based on curriculum in Indonesia. The aims of this research were: (1) To investigate the difficulties of SMP N 1 Tapa Grade VII students in writing composition, (2) To find out the supplemental tool that can be developed to address the difficulties by the students, (3) To develop appropriate English learning materials using flip PDF professional for Grade VII students in SMP N 1 Tapa. This research is one of the processes to develop new products or improve existing products. The product that will be produce from this research is an e-book to develop junior high school students' writing skills in English learning for class VII. The researchers used ADDIE development model in making the product. The writer's developed instructional material can serve as supplementary resources for classroom teaching and learning. This implies that the materials existing in the textbook can still be utilized

Exploiting synthetically generated data with semi-supervised learning for small and imbalanced datasets

Data augmentation is rapidly gaining attention in machine learning. Synthetic data can be generated by simple transformations or through the data distribution. In the latter case, the main challenge is to estimate the label associated to new synthetic patterns. This paper studies the effect of generating synthetic data by convex combination of patterns and the use of these as unsupervised information in a semi-supervised learning framework with support vector machines, avoiding thus the need to label synthetic examples. We perform experiments on a total of 53 binary classification datasets. Our results show that this type of data over-sampling supports the well-known cluster assumption in semi-supervised learning, showing outstanding results for small high-dimensional datasets and imbalanced learning problems

Laser cooling and trapping of atomic strontium for ultracold atom physics, high-precision spectroscopy and quantum sensors

This review describes the production of atomic strontium samples at ultra-low temperature and at high phase-space density, and their possible use for physical studies and applications. We describe the process of loading a magneto-optical trap from an atomic beam and preparing the sample for high precision measurements. Particular emphasis is given to the applications of ultracold Sr samples, spanning from optical frequency metrology to force sensing at micrometer scale

Laser Cooling and Trapping of Atomic Strontium for Ultracold Atoms Physics, High-Precision Spectroscopy and Quantum Sensors

This review describes the production of atomic strontium samples at ultra-low temperature and at high phase-space density, and their possible use for physical studies and applications. We describe the process of loading a magneto-optical trap from an atomic beam and preparing the sample for high precision measurements. Particular emphasis is given to the applications of ultracold Sr samples, spanning from optical frequency metrology to force sensing at micrometer scale.Comment: 34 pages, 19 figure