“Ozzie” Conners, BSC, ’65 and Operation Attleboro, Vietnam, ’66

Thomas J. “Ozzie” Conners enlisted in the U.S. Army after his graduation from Bridgewater State College in 1965. After basic training, Conners joined the 196th Light Infantry Brigade and was transported to Vietnam. As a member of Company C, 27th Regiment (the Wolfhounds), Conners was wounded within a month of his deployment, during the Operation Attleboro campaign

Nicholas Tillinghast, the U.S. Army, and Indian Removal

Nicholas Tillinghast (1804-1856) was the founding principal of the State Normal School at Bridgewater, Massachusetts. While his accomplishments as an educator and administrator are well-known, his earlier U.S. Army career is less-well documented. This article examines both Tillinghast’s experiences at West Point as a student and instructor and his career as an Army officer serving at Fort Gibson in the Indian Territory

The limits of spatial resolution achievable using a 30kHz multibeam sonar: model predictions and field results

A Simrad EM300 multibeam sonar was used to attempt to resolve small (-5m high) targets in 450m of water. The targets had previously been surveyed using a deeply towed 59 kHz sidescan sonar. Using multisector active yaw, pitch and roll compensation, together with dynamically altering angular sectors, the sonar is capable of maintaining sounding densities of as tight as 10m spacing in these water depths. This is significantly smaller than the largest dimension of the projected beam footprints (1 6-64m). The observed data suggest that the targets are intermittently resolved. The field results compare well to the output of a numerical model which reproduces the imaging geometry. Possible variations in the imaging geometry are implemented in the model, comparing equiangular and equidistant beam spacings, differing angular sectors and all the different combinations of transmit and receive beam widths that are available for this model of sonar. While amplitude detection is significantly aliased by targets smaller than the across track beam footprint, under conditions where the signal to noise ratio is favorable, phase detection can be used to reduce the minimum size of target observed to about the scale of the across track beam width. Thus having the beam spacing at the scale is justifiable. The phase distortion due to smaller targets, however, is generally averaged out

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

The lack of interpretability remains a key barrier to the adoption of deep models in many applications. In this work, we explicitly regularize deep models so human users might step through the process behind their predictions in little time. Specifically, we train deep time-series models so their class-probability predictions have high accuracy while being closely modeled by decision trees with few nodes. Using intuitive toy examples as well as medical tasks for treating sepsis and HIV, we demonstrate that this new tree regularization yields models that are easier for humans to simulate than simpler L1 or L2 penalties without sacrificing predictive power.Comment: To appear in AAAI 2018. Contains 9-page main paper and appendix with supplementary materia

Performance Indicators in Club Level Gaelic Football

Over 2000 Gaelic Football clubs compete annually for the honour of playing in the All-Ireland club finals in Croke Park in front of up to 30,000 people. There are no published performance data for club level Gaelic football, despite evidence of considerable performance analysis activity. This study aims to establish benchmark profiles for Senior, Intermediate and Junior grade club Gaelic football and investigate which variables are most closely associated with winning. Data from all tiers of the Ulster club football championship of 2015 and 2016 (n = 48) were analysed using a range of validated operational definitions measuring 17 variables. Differences between winning and losing performance were tested using a Mann-Whitney U test. Across all grades, six variables proved significant (p \u3c 0.05), three were directly related to scoring (points, number of scores and total score), the others related to the effective use of possession (possession: scores ratio; turnover rate and productivity (scores per possession)). Several others are specific to certain grades, and are directly linked to successful performance at that level

Cell patterning on photolithographically defined parylene-C:SiO2 substrates

Cell patterning platforms support broad research goals, such as construction of predefined in vitro neuronal networks and the exploration of certain central aspects of cellular physiology. To easily combine cell patterning with Multi-Electrode Arrays (MEAs) and silicon-based ‘lab on a chip’ technologies, a microfabrication-compatible protocol is required. We describe a method that utilizes deposition of the polymer parylene-C on SiO(2 )wafers. Photolithography enables accurate and reliable patterning of parylene-C at micron-level resolution. Subsequent activation by immersion in fetal bovine serum (or another specific activation solution) results in a substrate in which cultured cells adhere to, or are repulsed by, parylene or SiO(2) regions respectively. This technique has allowed patterning of a broad range of cell types (including primary murine hippocampal cells, HEK 293 cell line, human neuron-like teratocarcinoma cell line, primary murine cerebellar granule cells, and primary human glioma-derived stem-like cells). Interestingly, however, the platform is not universal; reflecting the importance of cell-specific adhesion molecules. This cell patterning process is cost effective, reliable, and importantly can be incorporated into standard microfabrication (chip manufacturing) protocols, paving the way for integration of microelectronic technology