This study investigates the impact of extreme rainfall events on soil erosion in the downstream Parnaíba River Basin, located in the Brazilian Cerrado. The analysis focused on rainfall erosivity (R factor) and soil erodibility (K factor) as key indicators. The average erosivity in the region was 9051 MJ mm h⁻¹ha⁻¹year⁻¹, with a variation between 7943 and 10,081 MJ mm h⁻¹ha⁻¹year⁻¹, suggesting a high erosive potential, mainly in the rainiest months, from December to April. The soils of the studied area, mainly Ultisols and Chernosols, present high to very high erodibility, with K factor values ranging from 0.025 to 0.050 t h MJ⁻¹ mm⁻¹. Furthermore, fieldwork revealed areas, near highways, with apparently fragile soils, as well as rills and gullies, identified through photographs taken during fieldwork. These locations, due to the combination of high erosivity and susceptible soils, were considered prone to the occurrence of erosion processes, representing an additional risk to local infrastructure. The spatialization of R and K factors, along with field observations, showed that much of the area is at high risk of erosion and landslides, particularly in regions with greater topographic variability and proximity to water bodies. These results provide a basis for the development of mitigation strategies, being important for the effective prevention of landslides.

Maintaining balance is essential for daily activities; deficits in hearing-impaired adolescents can severely impact their academics and daily life. Suspension training is employed to enhance the coordination of multiple muscle groups within the body and ultimately to improve balance. A total of 105 students with non-genetic hearing impairments, comprising 65 boys and 40 girls, participated in the study. Balance training using the TRS suspension belt included exercises such as prone elbow brace, supine back brace, kneeling elbow brace, lateral elbow brace, prone hip flexion, and supine hip lift. Strength training using equipment involved exercises like single-leg suspension squat, flying bird brace, supine suspension arm flexion, seated static brace, and standing butterfly pinch chest. The main outcome measures included static balance tests (lambda footwork, Wolfson postural stress test), dynamic balance tests (functional forward reach test, balance beam walk test), and vestibule function tests (rotation-walk test). The results of the lambda footwork and Wolfson postural stress tests revealed highly significant differences between 8 weeks and 16 weeks of intervention (p < 0.01). The Functional Forward Stretch test demonstrated a significant difference between 8 weeks of intervention and 2 weeks of intervention at 16 weeks (p < 0.05). The balance beam walking test indicated a significant improvement at 8 weeks (p < 0.05) and a highly significant improvement at 16 weeks (p < 0.01). In the spin-walk test, no statistically significant differences were observed between the pre-experimental test, the 8-week intervention, and the 16-week intervention (p > 0.05). Leveraging the expropriation system to mediate skeletal muscle movement and muscle contraction coordination can improve balance. Suspension training significantly improved balance during activities requiring static non-interference maintenance. However, suspension training did not demonstrate a significant effect on improving vestibule function. Overall, suspension training was effective in enhancing balance in all patients with non-hereditary deafness.

This paper presents a quantitative exploration of the functionality of cost accounting systems and their determinants in social welfare organizations. We conducted a questionnaire survey of managers of social welfare organizations running special nursing homes for the elderly and conducted a cluster analysis based on the data collected. The questionnaire was created based on the scales used in previous studies, with some new scales developed. For data analysis, the statistical analysis environment R was used. The clValid package of R was used to assess the validity of the cluster analysis. Based on the results of the analysis in this paper, it is expected that social welfare organizations that pursue cost leadership strategies and have a strong public interest orientation will benefit greatly by being able to utilize a highly functional cost accounting system. Such organizations will be able to improve their business efficiency by utilizing cost information, and their social contribution activities based on the resulting resources will truly be a contribution to public welfare. The findings from this study are of practical significance because they can be used by business managers of social welfare organizations to review the functionality of their cost accounting systems. We also focus on the degree to which nonprofit organizations focus on social contribution activities (in this paper, we call this public interest orientation). The public interest orientation of an organization is thought to affect the functionality of the cost accounting system in the same way as the organization’s strategy, but there has not been enough quantitative research on this point. By focusing on the public interest orientation of social welfare organizations, this study contributes to deepening our knowledge in this area.

One functional class is described in terms of one-sided modulus of continuity and the modulus of positive (negative) variation on which there
is a uniform convergence of the truncated cardinal Whittaker functions.

This article describes a classification tool to cluster SARAL/AltiKa waveforms. The tool was made using Python scripts. Radar altimetry systems (e.g., SARAL/AltiKa) measures the distance from the satellite centre to a target surface by calculating the satellite-to-surface round-trip time of a radar pulse. An altimeter waveform represents the energy reflected by the earth’s surface to the satellite antenna with respect to time. The tool clusters the altimetric waveforms data into desired groups. For the clustering, we used evolutionary minimize indexing function (EMIF) with k-means cluster mechanism. The idea was to develop a simple interface which takes the altimetry waveforms data from a folder as inputs and provides single value (using EMIF algorithm) for each waveform. These values are further used for clustering. This is a simple light weighted tool and user can easily interact with it.