Lt. Governor Polito Breaks Ground on $2.5 Million Downtown Revitalization Project in Leominster

MassWorks award supports downtown infrastructure improvements, development effort

The alleged anti-Jewish character of the fourth Gospel

This item was digitized by the Internet Archive

Photooxidation of Platinum(II) Diimine Dithiolates

The violet color of Pt(bpy)(bdt) (bpy = 2,2‘-bipyridine; bdt = 1,2-benzenedithiolate) is due to a Pt/S → diimine charge-transfer transition; the emission originates from the corresponding triplet state (τ = 460 ns). Photochemical oxidation of Pt(bpy)(bdt) occurs in the presence of oxygen in N,N-dimethylformamide, acetonitrile, or dimethyl sulfoxide solution; the reaction has been investigated by ^1H NMR and UV−visible absorption spectroscopy. Singlet oxygen produced by energy transfer from the excited complex is implicated as the active oxygen species, in sequential formation of sulfinate, Pt(bpy)(bdtO_2), and disulfinate, Pt(bpy)(bdtO_4), products. Both products have been characterized by X-ray crystallography. The rate of photooxygenation is strongly dependent on water concentration, and transient absorption spectra are consistent with the formation of at least one intermediate. As a whole, our data suggest that the photooxidation chemistry of platinum(II) diimine dithiolates is similar to that of organic sulfides

Assessing muscle strength for the purpose of classification in paralympic athletics: a review and recommendations

Objectives: Classification in Paralympic Sport aims to minimize the impact of 10 eligible types of impairment on the outcome of competition. Methods for assessing the extent to which a given body structure or function has been impaired are required, but are challenging because it is not possible to directly measure an absence or loss. Rather, impairment must be inferred by measurement of extant body structures or functions

Patterns of cognitive dysfunction in progressive MS

Background: Progressive MS is associated with a high frequency of cognitive impairment. However, it is not clear to what extent this reflects global dysfunction, or independent deficits in specific functions

USING MACHINE LEARNING TECHNIQUES AND WEARABLE INERTIAL MEASUREMENT UNITS TO PREDICT FRONT CRAWL ELBOW JOINT ANGLE: A PILOT STUDY

The purpose of this study was to evaluate the validity of using an artificial neural network (ANN) and inertial measurement units (IMUs) for estimating front crawl elbow angle in a laboratory environment. The study evaluates the validity of two models resulting from two swimmers who adopted different front crawl techniques. For each participant, data were collected from two IMUs placed on the arm during three minutes of ergometer-based swimming. These data were entered into an artificial neural network along with the target data which was elbow flexion angle from a camera-based motion capture system. The performance of each model was assessed by comparing the predicted elbow angle to the gold standard elbow angle during ten front crawl strokes collected separately from the training data. Root mean square difference (RMSD) between predicted and gold standard elbow angle across the ten stroke cycles was 7.75° for both participants. This pilot study demonstrates validity of using IMUs and artificial neural networks in a laboratory environment for estimating front crawl elbow angle in two swimmers who used different front crawl techniques