448 research outputs found

    Comparison of the Local Temperature, Lactate and Glucose After Three Different Strength Training Methods

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    International Journal of Exercise Science 14(4): 1408-1420, 2021. This study aimed to evaluate the local temperature, lactate, and blood glucose in three strength training methods. The study included 12 male subjects; (22.15 ± 5.77 years, 76.85 ± 9.15 kg, 1.72 ± 0.09 m), with minimum of 12 months of strength training experience, and all participated in the three training methods: the occlusion training (Kaatsu); the tension training (Tension); and the traditional training (Traditional). The Kaatsu training consisted in 3 sets of 10RM with occlusion device in both arms inflated to a 130% occlusion pressure. In addition, the tension method was performed with 30% of 1RM and the traditional training, consisted in 10 repetitions with 80% RM. Regarding the temperature variation, differences were observed between the Kaatsu and Traditional methods in relation to Tension (p = .049, ɳ2p = 0.187). While for blood glucose (p = .351, ɳ2p = 0.075) and lactate (p = .722, ɳ2p = 0.022) there were no differences between the methods. Regarding the temperature (°C) measured by thermography and asymmetry, the right side showed a decrease in the post-test, in relation to the pre-test, in all methods (p \u3c .05, ɳ2p \u3e 0.150). The left (p = .035, ɳ2p = 0.301) and right (p = .012, ɳ2p = 0.324) sides showed a decrease in temperature, in the post-test in relation to the pre-test, in the Kaatsu and traditional method. In asymmetry, the three methods showed an increase in the post-test in relation to the pre-test (p = .042, ɳ2p = 0.158). In conclusion, tension method seems to stimulate greater heat production than the other methods. This information can help coaches to choose among these training methods according to the desired physiological response

    Dierences in spontaneous speech fluency between Parkinson’s disease and spinocerebellar ataxia type 3

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    Background: The basal ganglia and cerebellum both have a role in speech production although the eect of isolated involvement of these structures on speech fluency remains unclear. Objective: The study aimed to assess the dierences in the articulatory pattern in patients with cerebellar vs. basal ganglia disorders. Methods: A total of 20 individuals with Parkinson’s disease (PD), 20 with spinocerebellar ataxia type 3 (SCA3), and 40 controls (control group, CG) were included. Diadochokinesis (DDK) and monolog tasks were collected. Results: The only variable that distinguished SCA3 carriers from the CG was the number of syllables in the monolog, with SCA3 patients of a significantly lower number. For patients with PD, the number of syllables, phonation time, DDK, and monolog were significantly lower than for CG. Patients with PD were significantly worse compared to patients with SCA3 in the number of syllables and phonation time in DDK, and phonation time in monolog. Additionally, there was a significant correlation between the number of syllables in the monolog and the MDS-UPDRS III for participants with PD, and the Friedreich Ataxia Rating Scale for participants with SCA3 suggesting a relationship between speech and general motor functioning. Conclusion: The monolog task is better at discriminating individuals with cerebellar vs. Parkinson’s diseases as well as dierentiating healthy control and was related to the severity of the disease

    Biometric Measures, Body Score and Body Mass Index Evaluation in Wild Coatis (Nasua Nasua) Living in the South-Central Region of São Paulo State, Brazil

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    Background: Coatis (Nasua nasua) have easy interaction with man, besides being sociable and curious animals. The proximity to urbanized areas encourages them to intake food from anthropogenic sources, and it can change their eating habits and make them prone to obesity. The body condition evaluates the animals’ energetic status and measures variations in their body fat reserves. There are direct-invasive methods and indirect methods that rely on size and body mass to evaluate the body condition, like body condition score and body mass index. Thus, the aim of the present study was to assess different methods to determine the body condition of wild coatis (Nasua nasua) living in urban areas.Materials, Methods & Results: Sixteen (16) wild coatis (Nasua nasua), nine females and seven males, were captured at Faculty of Veterinary Medicine and Animal Science (FMVZ) of São Paulo State University, Botucatu, in pitfalls. The animals were anesthetized with ketamine and midazolam and subjected to biometric evaluation after physical exams proved normal. The following variables were analyzed: body weight, body condition score (BCS) based on the five-point scale for dogs, thoracic and abdominal circumference, height at the withers, spine length and distance from the patella to the calcaneus. Two body mass index (BMI) were calculated from these data, one was based on dogs (BMI1) and another one on cats (BMI2), as well as the body fat percentage (%BF). Results showed that 25% of the assessed coatis were overweight. Body weight, thoracic and abdominal circumference, height at the withers, spine length and distance from the patella to the calcaneus were significantly higher in males than in females and the other assessed parameters did not present differences between sexes. The correlation between fat percentage and body weight was significant, and that between fat percentage and BCS was not. There was closer correlation between BMI2 and body weight, and BCS, than between BMI1 and these two parameters.Discussion: Anthropogenic interactions could change the body condition of these animals and make them prone to obesity, since their body condition scores were altered. With regard to the nutritional body condition, although males were bigger than females, the measures did not show significant differences between them. Results of this parameter varied in different studies with coatis, some studies have shown that males have body mass 1/3 higher than that of females and others have not recorded any difference between sexes. Fat percentage estimated through the metrics used in cats is not a good method when it is applied alone in body condition evaluations. A study that has correlated body mass, body condition score, body fat estimates, body mass index and abdominal circumference recorded positive results between these two evaluation methods. Such finding corroborated with the present study, but it was differed from it in abdominal circumference, which did not correlate to the two body mass indices and to body fat percentage. Therefore, it is possible saying that there is biometric difference between male and female coatis. The body condition score adopted for dogs was efficient for coatis (Nasua nasua), as well as the body mass index used for dogs and cats – the one used for cats was even more efficient. The proximity wild coatis (Nasua nasua) have to humans could change the body condition of these animals and make them prone to obesity

    Measurement of the cosmic ray spectrum above 4×10184{\times}10^{18} eV using inclined events detected with the Pierre Auger Observatory

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    A measurement of the cosmic-ray spectrum for energies exceeding 4×10184{\times}10^{18} eV is presented, which is based on the analysis of showers with zenith angles greater than 6060^{\circ} detected with the Pierre Auger Observatory between 1 January 2004 and 31 December 2013. The measured spectrum confirms a flux suppression at the highest energies. Above 5.3×10185.3{\times}10^{18} eV, the "ankle", the flux can be described by a power law EγE^{-\gamma} with index γ=2.70±0.02(stat)±0.1(sys)\gamma=2.70 \pm 0.02 \,\text{(stat)} \pm 0.1\,\text{(sys)} followed by a smooth suppression region. For the energy (EsE_\text{s}) at which the spectral flux has fallen to one-half of its extrapolated value in the absence of suppression, we find Es=(5.12±0.25(stat)1.2+1.0(sys))×1019E_\text{s}=(5.12\pm0.25\,\text{(stat)}^{+1.0}_{-1.2}\,\text{(sys)}){\times}10^{19} eV.Comment: Replaced with published version. Added journal reference and DO

    Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

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    The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy deposit per area is determined from the radio pulses at each observer position and is interpolated using a two-dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge-excess emission components. The spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy -- corrected for geometrical effects -- is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. We find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO

    Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy

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    We measure the energy emitted by extensive air showers in the form of radio emission in the frequency range from 30 to 80 MHz. Exploiting the accurate energy scale of the Pierre Auger Observatory, we obtain a radiation energy of 15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV arriving perpendicularly to a geomagnetic field of 0.24 G, scaling quadratically with the cosmic-ray energy. A comparison with predictions from state-of-the-art first-principle calculations shows agreement with our measurement. The radiation energy provides direct access to the calorimetric energy in the electromagnetic cascade of extensive air showers. Comparison with our result thus allows the direct calibration of any cosmic-ray radio detector against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI. Supplemental material in the ancillary file

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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