625 research outputs found
Sistemas fuzzy complementam a detecção de socialbots por aprendizado de máquina / Fuzzy systems complement machine learning socialbot detection
A detecção de socialbots em Redes Sociais Online tem sido objeto de diversos estudos baseados em aprendizado de máquina. Este trabalho apresenta o uso de um comitê de classificadores para melhorar a acurácia da identificação de socialbots. O comitê associa o conhecimento obtido por algoritmos de aprendizado de máquina ao conhecimento heurístico humano, obtido por entrevistas e formalizado por regras fuzzy. Os resultados mostram que estas abordagens são complementares, uma vez que o uso conjunto destes algoritmos em um comitê apresenta uma acurácia acima de 93%, maior do que os mesmos algoritmos utilizados isoladamente.
Comparison of the Local Temperature, Lactate and Glucose After Three Different Strength Training Methods
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
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
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 eV using inclined events detected with the Pierre Auger Observatory
A measurement of the cosmic-ray spectrum for energies exceeding
eV is presented, which is based on the analysis of showers
with zenith angles greater than 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
eV, the "ankle", the flux can be described by a power law with
index followed by
a smooth suppression region. For the energy () at which the
spectral flux has fallen to one-half of its extrapolated value in the absence
of suppression, we find
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
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
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
USO DE BENZODIAZEPÍNICOS EM EMERGÊNCIAS PSIQUIÁTRICAS: UMA REVISÃO INTEGRATIVA DAS EVIDÊNCIAS
This article presents an integrative review on the use of benzodiazepines in psychiatric emergencies, aiming to compile and analyze the available evidence regarding their efficacy, safety, and clinical implications. Studies published between 2014 and 2024 were included, selected from PubMed, Scopus, and SciELO databases using keywords such as “benzodiazepines,” “psychiatric emergencies,” and “treatment.” Data analysis revealed that benzodiazepines are effective in the rapid stabilization of acute symptoms, such as psychomotor agitation and severe anxiety crises. However, prolonged use is associated with significant risks, including dependence, tolerance, and adverse effects, particularly in vulnerable populations like the elderly. Comparisons with other pharmacological interventions suggest that second-generation antipsychotics may be viable alternatives with a potentially more favorable adverse effect profile. The review also highlighted the importance of non-pharmacological interventions, such as nursing care, which can complement pharmacological treatment. It concludes that while benzodiazepines are a valuable tool in psychiatric emergencies, it is crucial to follow stringent clinical guidelines and personalize treatment to maximize benefits and minimize risks.Este artigo apresenta uma revisão integrativa sobre o uso de benzodiazepínicos em emergências psiquiátricas, com o objetivo de compilar e analisar as evidências disponíveis acerca de sua eficácia, segurança e implicações clínicas. Foram incluídos estudos publicados entre 2014 e 2024, selecionados nas bases de dados PubMed, Scopus e SciELO, utilizando palavras-chave como “benzodiazepínicos”, “emergências psiquiátricas” e “tratamento”. A análise dos dados revelou que os benzodiazepínicos são eficazes na estabilização rápida de sintomas agudos, como agitação psicomotora e crises de ansiedade severa. No entanto, o uso prolongado está associado a riscos significativos, incluindo dependência, tolerância e efeitos adversos, especialmente em populações vulneráveis como idosos. Comparações com outras intervenções farmacológicas sugerem que antipsicóticos de segunda geração podem ser alternativas viáveis, com um perfil de efeitos adversos potencialmente mais favorável. A revisão também destacou a importância das intervenções não farmacológicas, como a assistência de enfermagem, que podem complementar o tratamento farmacológico. Conclui-se que, embora os benzodiazepínicos sejam uma ferramenta valiosa em emergências psiquiátricas, é crucial seguir diretrizes clínicas rigorosas e personalizar o tratamento para maximizar os benefícios e minimizar os riscos.  
Pervasive gaps in Amazonian ecological research
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
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