Psychometric properties of the Iranian version of the premature ejaculation diagnostic tool

Introduction Premature ejaculation (PE) is one of the most prevalent male sexual problems. The Premature Ejaculation Diagnostic Tool (PEDT) is a suitable patient-reported outcome measure for the assessment of PE. Aim To examine the psychometric proporties of a translated and culturally adapted version of the PEDT in a sample of Iranian men suffering from PE. Methods Two independent samples were compared, one including patients with PE based on the DSM-IV-TR criteria (n = 269) and the other including healthy men without PE (n = 289). A backward–forward translation procedure was used to translate the PEDT into Persian. Both samples were asked to fill in the PEDT twice—at baseline and 4 weeks later. Main Outcome Measures Internal consistency, test–retest reliability, convergent validity, factor structure, measurement invariance across sexual health status (i.e., between men with and without PE). Results Mean ages of men without and with PE were 34.9 and 35.3 years, respectively. Cronbach's alpha coefficient for the total PEDT score was 0.89. All items and the total score were remarkably consistent between the two measurement points. All five PEDT items correlated at r = 0.40 or greater with their own scale, indicating good convergent validity. There was a high and significant correlation (r = −0.82, P  < 0.001) between the PEDT score and IELT. Healthy men reported lower scores (fewer complaints) on the PEDT compared with the PE group. A single-factor model was found to be best-fitting in the exploratory factor analysis; this was confirmed by confirmatory factor analysis. The PEDT was invariant across sexual health status and perceived similarly by men with and without PE. Conclusion The results provide evidence for good reliability and validity of the Iranian version of the PEDT. The questionnaire therefore represents a suitable tool for screening PE in Iranian men.

The IUE INES System: Improved data extraction procedures for IUE

We present the extraction and processing of the IUE Low Dispersion spectra within the framework of the ESA “IUE Newly Extracted Spectra” (INES) System. Weak points of SWET, the optimal extraction implementation to produce the NEWSIPS output products (extracted spectra) are discussed, and the procedures implemented in INES to solve these problems are outlined. The more relevant modifications are: 1) the use of a new noise model, 2) a more accurate representation of the spatial profile of the spectrum and 3) a more reliable determination of the background. The INES extraction also includes a correction for the contamination by solar light in long wavelength spectra. Examples showing the improvements obtained in INES with respect to SWET are described. Finally, the linearity and repeatability characteristics of INES data are evaluated and the validity of the errors provided in the extraction is discussed.

Niveles de actividad física y su relación con los desórdenes musculo esqueléticos en profesores de educación física en Bogotá - Colombia.

La actividad física regular desempeña un papel fundamental en la prevención y control de los desórdenes musculo esqueléticos, dentro de la actividad laboral del profesor de educación física. Objetivo: El propósito del estudio fue determinar la relación entre los niveles de actividad física y la prevalencia de los desórdenes musculo esqueléticos, en profesores de educación física de 42 instituciones educativas oficiales de Bogotá-Colombia. Métodos. Se trata de un estudio de corte transversal en 262 profesores de educación física, de 42 instituciones educativas oficiales de Bogotá - Colombia. Se aplicó de manera auto-diligenciada el Cuestionario Nórdico de desórdenes músculos esqueléticos y el Cuestionario IPAQ versión corta para identificar los niveles de actividad física. Se obtuvieron medidas de tendencia central y de dispersión para variables cuantitativas y frecuencias relativas para variables cualitativas. Se calculó la prevalencia de vida y el porcentaje de reubicación laboral en los docentes que habían padecido diferentes tipo de dolor. Para estimar la relación entre el dolor y las variables sociodemográficas de los docentes, se utilizó un modelo de regresión logística binaria simple. Los análisis fueron realizados en SPSS versión 20 y se consideró como significativo un valor p < 0.05 para el contraste de hipótesis y un nivel de confianza para la estimación de parámetros. Resultados: El porcentaje de respuesta fue del 83.9%, se consideraron válidos 262 registros, 22.5% eran de género femenino, la mayor cantidad de docentes de educación física se encuentraon entre 25 y 35 años (43,9%), frente a los desórdenes musculo esqueléticos, el 16.9% de los profesores reporto haberlos sufrido alguna vez molestias en el cuello, el 17,2% en el hombro, 27,9% espalda, 7.93% brazo y en mano el 8.4%. Los profesores con mayores niveles de actividad física, reportaron una prevalencia menor de alteraciones musculo esqueléticas de 16,9 % para cuello; 27.7% para dorsal/lumbar frente a los sujetos con niveles bajos de actividad física. La presencia de los desórdenes se asoció a los años de experiencia (OR 3.39 IC95% 1.41-7.65), a pertenecer al género femenino (OR 4.94 IC95% 1.94-12.59), a la edad (OR 5.06 IC95% 1.25-20.59), y al atender más de 400 estudiantes a cargo dentro de la jornada laboral (OR 4.50 IC95% 1.74-11.62). Conclusiones: En los profesores de Educación Física no sé encontró una relación estadísticamente significativa entre los niveles de actividad física y los desórdenes musculo esqueléticos medidos por auto reporte.

Validity and reliability of the international fItness scale (IFIS) in a population-based sample of schoolchildren in Bogota, Colombia: The FUPRECOL study

The International FItness Scale (IFIS) is a self-reported measure of physical fitness that could easily. This scale has been validated in children, adolescents, and young adults; however, it is unknown whether the IFIS represents a valid and reliable estimate of physical fitness in Latino-American youth population. In the present study we aimed to examine the validity and reliability of the IFIS on a population-based sample of schoolchildren in Bogota, Colombia. Participants were 1,875 Colombian youth (56.2% girls) aged 9 to 17.9 years old. We measured adiposity markers (body fat, waist-to-height ratio, skinfold thicknesses and BMI), blood pressure, lipids profile, fasting glucose, and physical fitness level (self reported and measured). Also, a validated cardiometabolic risk index was used. An age- and sex-matched sample of 229 Schoolchildren originally not included in the study sample fulfilled IFIS twice for reliability purposes. Our data suggest that both measured and self-reported overall fitness were associated inversely with adiposity indicators and a cardiometabolic risk score. Overall, schoolchildren who self-reported “good” and “very good” fitness had better measured fitness than those who reported “very poor” and “poor” fitness (all p<0.001). Test–retest reliability of IFIS items was also good, with an average weighted Kappa of 0.811. Therefore, our findings suggest that self-reported fitness, as assessed by IFIS, is a valid, reliable, and health-related measure, and it can be a good alternative for future use in large studies with Latin-schoolchildren from Colombia.

Robustness of germination analysis methods for Copaifera langsdorffii Desf. (Fabaceae) seeds.

2016

Different strategies to estimate genetic parameters for the rank of Santa Ines sheep in agricultural-shows.

2016

Methods for objective and interpretative evaluation of function and motor control: gait in perturbed condition and in the aquatic therapy

Gait analysis allows to characterize motor function, highlighting deviations from normal motor behavior related to an underlying pathology. The widespread use of wearable inertial sensors has opened the way to the evaluation of ecological gait, and a variety of methodological approaches and algorithms have been proposed for the characterization of gait from inertial measures (e.g. for temporal parameters, motor stability and variability, specific pathological alterations). However, no comparative analysis of their performance (i.e. accuracy, repeatability) was available yet, in particular, analysing how this performance is affected by extrinsic (i.e. sensor location, computational approach, analysed variable, testing environmental constraints) and intrinsic (i.e. functional alterations resulting from pathology) factors. The aim of the present project was to comparatively analyze the influence of intrinsic and extrinsic factors on the performance of the numerous algorithms proposed in the literature for the quantification of specific characteristics (i.e. timing, variability/stability) and alterations (i.e. freezing) of gait. Considering extrinsic factors, the influence of sensor location, analyzed variable, and computational approach on the performance of a selection of gait segmentation algorithms from a literature review was analysed in different environmental conditions (e.g. solid ground, sand, in water). Moreover, the influence of altered environmental conditions (i.e. in water) was analyzed as referred to the minimum number of stride necessary to obtain reliable estimates of gait variability and stability metrics, integrating what already available in the literature for over ground gait in healthy subjects. Considering intrinsic factors, the influence of specific pathological conditions (i.e. Parkinson’s Disease) was analyzed as affecting the performance of segmentation algorithms, with and without freezing. Finally, the analysis of the performance of algorithms for the detection of gait freezing showed how results depend on the domain of implementation and IMU position.

Vision-Based Solutions for Human-Robot Collaboration in Industrial Workcells

Industrial robots are both versatile and high performant, enabling the flexible automation typical of the modern Smart Factories. For safety reasons, however, they must be relegated inside closed fences and/or virtual safety barriers, to keep them strictly separated from human operators. This can be a limitation in some scenarios in which it is useful to combine the human cognitive skill with the accuracy and repeatability of a robot, or simply to allow a safe coexistence in a shared workspace. Collaborative robots (cobots), on the other hand, are intrinsically limited in speed and power in order to share workspace and tasks with human operators, and feature the very intuitive hand guiding programming method. Cobots, however, cannot compete with industrial robots in terms of performance, and are thus useful only in a limited niche, where they can actually bring an improvement in productivity and/or in the quality of the work thanks to their synergy with human operators. The limitations of both the pure industrial and the collaborative paradigms can be overcome by combining industrial robots with artificial vision. In particular, vision can be exploited for a real-time adjustment of the pre-programmed task-based robot trajectory, by means of the visual tracking of dynamic obstacles (e.g. human operators). This strategy allows the robot to modify its motion only when necessary, thus maintain a high level of productivity but at the same time increasing its versatility. Other than that, vision offers the possibility of more intuitive programming paradigms for the industrial robots as well, such as the programming by demonstration paradigm. These possibilities offered by artificial vision enable, as a matter of fact, an efficacious and promising way of achieving human-robot collaboration, which has the advantage of overcoming the limitations of both the previous paradigms yet keeping their strengths.

Laser cladding and its potential to reduce particulate matter emissions from the automotive and locomotive sector

Laser Cladding (LC) is an emerging technology which is used both for coating applications as well as near-net shape fabrication. Despite its significant advantages, such as low dilution and metallurgical bond with the substrate, it still faces issues such as process control and repeatability, which restricts the extension to its applications. The following thesis evaluates the LC technology and tests its potential to be applied to reduce particulate matter emissions from the automotive and locomotive sector. The evaluation of LC technology was carried out for the deposition of multi-layer and multi-track coatings. 316L stainless steel coatings were deposited to study the minimisation of geometric distortions in thin-walled samples. Laser power, as well as scan strategy, were the main variables to achieve this goal. The use of constant power, reduction at successive layers, a control loop control system, and two different scan strategies were studied. The closed-loop control system was found to be practical only when coupled with the correct scan strategy for the deposition of thin walls. Three overlapped layers of aluminium bronze were deposited onto a structural steel pipe for multitrack coatings. The effect of laser power, scan speed and hatch distance on the final geometry of coating were studied independently, and a combined parameter was established to effectively control each geometrical characteristic (clad width, clad height and percentage of dilution). LC was then applied to coat commercial GCI brake discs with tool steel. The optical micrography showed that even with preheating, the cracks that originated from the substrate towards the coating were still present. The commercial brake discs emitted airborne particles whose concentration and size depended on the test conditions used for simulation in the laboratory. The contact of LC cladded wheel with rail emitted significantly less ultra-fine particles while maintaining the acceptable values of coefficient of friction.