Continuous estimation of ground reaction force during long distance running within a fatigue monitoring framework: A Kalman filter-based model-data fusion approach.

Estimation of ground reaction forces in runners has been limited to laboratory environments by means of instrumented treadmills, in-ground force plates and optoelectronic systems. Recent advances in estimation techniques using wearable sensors for kinematic analysis and sports performance could enable estimation outside the laboratory. This paper proposes a state-input-parameter estimation framework to continuously estimate the vertical ground reaction force waveform during running. By modeling a runner as a single degree of freedom mass-spring-damper with acceleration measurements at the sacrum a state-space formulation can be applied using Newtonian methods. A dual-Kalman filter is employed to estimate the unmeasured system input which feeds through to an unscented Kalman filter to estimate system dynamics and unknown model parameters (e.g. spring stiffness). For validation, 14 subjects performed three one-minute running trials at three different speeds (self-selected slow, comfortable, and fast) on a pressure-sensor-instrumented treadmill. The estimated vertical ground reaction force waveform parameters; peak vertical ground reaction force (RMSE=6.1-7.2%,ρ=0.95-0.97), vertical impulse (RMSE=8.5-13.0%,ρ=0.50-0.60), loading rate (RMSE=24.6-39.4%,ρ=0.85-0.93), and cadence RMSE<1%,ρ=1.00 were compared against the instrumented treadmill measurements. The proposed state-input-parameter estimation framework could monitor personalized vertical ground reaction force metrics for potential biofeedback applications. The feedback mechanism could provide information about the vertical ground reaction force characteristics to the runner as they are running to provide knowledge of both desirable and undesirable loading characteristics experienced.

Genome-wide analysis of transposable elements in the coffee berry borer Hypothenemus hampei (Coleoptera: Curculionidae): description of novel families.

The coffee berry borer (CBB) Hypothenemus hampei is the most limiting pest of coffee production worldwide. The CBB genome has been recently sequenced; however, information regarding the presence and characteristics of transposable elements (TEs) was not provided. Using systematic searching strategies based on both de novo and homology-based approaches, we present a library of TEs from the draft genome of CBB sequenced by the Colombian Coffee Growers Federation. The library consists of 880 sequences classified as 66% Class I (LTRs: 46%, non-LTRs: 20%) and 34% Class II (DNA transposons: 8%, Helitrons: 16% and MITEs: 10%) elements, including families of the three main LTR (Gypsy, Bel-Pao and Copia) and non-LTR (CR1, Daphne, I/Nimb, Jockey, Kiri, R1, R2 and R4) clades and DNA superfamilies (Tc1-mariner, hAT, Merlin, P, PIF-Harbinger, PiggyBac and Helitron). We propose the existence of novel families: Hypo, belonging to the LTR Gypsy superfamily; Hamp, belonging to non-LTRs; and rosa, belonging to Class II or DNA transposons. Although the rosa clade has been previously described, it was considered to be a basal subfamily of the mariner family. Based on our phylogenetic analysis, including Tc1, mariner, pogo, rosa and Lsra elements from other insects, we propose that rosa and Lsra elements are subfamilies of an independent family of Class II elements termed rosa. The annotations obtained indicate that a low percentage of the assembled CBB genome (approximately 8.2%) consists of TEs. Although these TEs display high diversity, most sequences are degenerate, with few full-length copies of LTR and DNA transposons and several complete and putatively active copies of non-LTR elements. MITEs constitute approximately 50% of the total TEs content, with a high proportion associated with DNA transposons in the Tc1-mariner superfamily.