Monitoring training loads in elite tennis

Training load (TL) is influenced by both training volume and training intensity. A precise understanding of the TLs completed during training is crucial to achieve desirable training outcomes and to avoid overtraining. TL can be monitored in many different ways; however, we recommend the session-rate of perceived exertion (session-RPE) method for quantifying TL because of its low cost and because it is easy to understand and relatively simple to implement. In this report, we provide data regarding TLs collected during the 2008 Roland Garros Tournament. Our experience in tennis suggests the session-RPE method to be a valuable tool that can be used to control training and to avoid excessive TLs. We also believe that accurate monitoring of TL will enable the coach to better understand of the sports training process, ultimately leading to the improvement of performance

Fetopathy associated with exposure to angiotensin converting enzyme inhibitors

Angiotensin Converting Enzyme Inhibitors (ACEI) are commonly used antihypertensive drugs, although contraindicated during pregnancy by fetopathy association such as renal dysgenesis, oligohydramnios, hipocalvaria, pulmonary hypoplasia, intrauterine growth restriction, and neonatal anuric renal failure. The authors present a clinical report of a child that developed neonatal anuric renal failure with peritoneal dialysis support by an in uterus exposure to ACEI with very good recovery. This case and literature review states the need to avoid ACEI prescription to Young women and it's suspension as soon as possible during pregnancy

Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities

One of the main challenges of multimodal learning is the need to combine heterogeneous modalities (e.g., video, audio, text). For example, video and audio are obtained at much higher rates than text and are roughly aligned in time. They are often not synchronized with text, which comes as a global context, e.g., a title, or a description. Furthermore, video and audio inputs are of much larger volumes, and grow as the video length increases, which naturally requires more compute dedicated to these modalities and makes modeling of long-range dependencies harder. We here decouple the multimodal modeling, dividing it into separate, focused autoregressive models, processing the inputs according to the characteristics of the modalities. We propose a multimodal model, called Mirasol3B, consisting of an autoregressive component for the time-synchronized modalities (audio and video), and an autoregressive component for the context modalities which are not necessarily aligned in time but are still sequential. To address the long-sequences of the video-audio inputs, we propose to further partition the video and audio sequences in consecutive snippets and autoregressively process their representations. To that end, we propose a Combiner mechanism, which models the audio-video information jointly within a timeframe. The Combiner learns to extract audio and video features from raw spatio-temporal signals, and then learns to fuse these features producing compact but expressive representations per snippet. Our approach achieves the state-of-the-art on well established multimodal benchmarks, outperforming much larger models. It effectively addresses the high computational demand of media inputs by both learning compact representations, controlling the sequence length of the audio-video feature representations, and modeling their dependencies in time

Model amphipathic peptide coupled with tacrine to improve its antiproliferative activity

Drug repurposing and drug combination are two strategies that have been widely used to overcome the traditional development of new anticancer drugs. Several FDA-approved drugs for other indications have been tested and have demonstrated beneficial anticancer effects. In this connection, our research group recently reported that Tacrine, used to treat Alzheimer’s Disease, inhibits the growth of breast cancer MCF-7 cells both alone and in combination with a reference drug. In this view, we have now coupled Tacrine with the model amphipathic cell-penetrating peptide (CPP) MAP, to ascertain whether coupling of the CPP might enhance the drug’s antiproliferative properties. To this end, we synthesized MAP through solid-phase peptide synthesis, coupled it with Tacrine, and made a comparative evaluation of the parent drug, peptide, and the conjugate regarding their permeability across the blood-brain barrier (BBB), ability to inhibit acetylcholinesterase (AChE) in vitro, and antiproliferative activity on cancer cells. Both MAP and its Tacrine conjugate were highly toxic to MCF-7 and SH-SY5Y cells. In turn, BBB-permeability studies were inconclusive, and conjugation to the CPP led to a considerable loss of Tacrine function as an AChE inhibitor. Nonetheless, this work reinforces the potential of repurposing Tacrine for cancer and enhances the antiproliferative activity of this drug through its conjugation to a CPP.This work was financed by FEDER–Fundo Europeu de Desenvolvimento Regional through the COMPETE 2020—Operational Programme for Competitiveness and Internationalization (POCI), Portugal 2020, and by Portuguese funds through FCT–Fundação para a Ciência e a Tecnologia, in a framework of CINTESIS, R&D Unit (reference UIDB/4255/2020), iMed.ULisboa (UID/DTP/04138/ 2013), LAQV-REQUIMTE (UIDB/50006/2020), and the “Institute for Research and Innovation in Health Sciences” (UID/BIM/04293/2019)

Enzymatic degradation of starch thermoplastic blends using samples of different thickness

The material studied was a thermoplastic blend of corn starch with a poly(ethylene-vinyl alcohol) copolymer, SEVA-C. The influence of both the material’s exposed surface and enzyme concentration on degradation kinetics was studied. As α-amylase is present in the blood plasma, experiments were performed, varying the material thickness and the α-amylase between 50 and 100 units/l, at 37°C, lasting up to 90 days. Four different batches using SEVA-C and starch samples of different thickness were performed. The positive correlation between degradation rate and the exposed material surface was confirmed, since thin films with larger exposed surfaces were degraded faster than thick square plates having the same total mass. The degradation extent depends on the total amount of amorphous starch present in the formulation rather than on the amount of enzyme used and the minimum thickness to ensure maximum degradation was estimated to be close to 0.25 mm

Wind-pv-thermal power aggregator in electricity market

This paper addresses the aggregation of wind, photovoltaic and thermal units with the aim to improve bidding in an electricity market. Market prices, wind and photovoltaic powers are assumed as data given by a set of scenarios. Thermal unit modeling includes start-up costs, variables costs and bounds due to constraints of technical operation, such as: ramp up/down limits and minimum up/down time limits. The modeling is carried out in order to develop a mathematical programming problem based in a stochastic programming approach formulated as a mixed integer linear programming problem. A case study comparison between disaggregated and aggregated bids for the electricity market of the Iberian Peninsula is presented to reveal the advantage of the aggregation

Wireless battery charger for ev with circular or planar coils: comparison

This paper presents the experimental results obtained in the wireless energy transfer system prototype based on circular or planar coils. With these experimental results we can choose the tuning settings to improve the power transmission efficiency in wireless energy transfer systems. In wireless energy transfer for electric vehicle batteries charging, the coil shape and the range between the coils are the most important issues of those systems