After amputation, fitting of the prosthesis in the adaptation and gait of an individual is crucial. This process is subjective on the part of the professional who makes adjustment, compromising the stability of amputee. Therefore, a kinematic model to analyze the effects of dynamic alignment during the transtibial amputees gait using Opensim was developed. A sensitivity analysis of the kinematics of the transtibial amputee gait was performed in the sagittal plane in relation to the dynamic alignment (position of the prosthesis components): socket flexion/extension, socket abduction/adduction, plantiflexion/dorsiflexion of the prosthetic foot, eversion /inversion of the prosthetic foot. With this analysis, effects were established on flexion and extension in the sagittal plane of the hip, knee and ankle of the amputated leg and the non-amputated leg. The estimation was performed for each of the gait phases trough a model developed in Opensim® and Matlab®, using measurements made to a patient with Technaid® inertial sensors, varying the position of the socket in the sagittal and frontal plane between 2 , 6 and 10 degrees. These measurements were processed in Matlab® where a motion vector was calculated. A script was developed to generate the modified structural model of Opensim®, from the static position of the vector used in each case; Once the model was generated the inverse kinematics of the hip, knee and ankle were calculated. Taking into account that it is not possible to perform the variations of the prosthetic foot of the individual to avoid compromising the stability of the same when making the measurements, a variant of the model was developed in which a neural network was trained to estimate the kinematics of the hip, knee and ankle. As for the prosthetic foot, the changes reported when the position in dorsiflexion, plantarflexion, eversion and inversion have been modified, these modifications alter largely the kinematics of hip and knee.

The article is devoted to the forecasting of net profit of private enterprises of Ukraine with application of STELLA program. The STELLA economic modeling program, which combines mathematical differential equations with a developed graphical interface, has been used in the article. In this program a model was created and an attempt was made to forecast the private enterprises of Ukraine by 2030. It has been the possible growth up net profit of private enterprises with a slight reduction and further stabilization of the agricultural land (AREA) at the level of 45000 thousand hectares and enterprises (ENTERPISES) at the level of 3600. The most promising possibilities of applying STELLA program in economic forecasting has been outlined in the article.

This article compiles relevant elements of the research on intrinsic motivation in English teachers with multilevel classes (2018-2020) with the “Universidad Militar Nueva Granada” (UMNG), led by the languages department. The objective of the research was to determine how intrinsic motivation can affect the professional development of the English language teacher in the multilevel classroom through methodological elements of action research and the socio-critical paradigm. As for the field work, this is done with 16 teachers in charge of basic, intermediate, and advanced levels of English; in higher education. Among the relevant results of this study, it was evidenced that the implementation of intrinsic orientation strategies seem to instill positive attitudes in the pedagogical practice and promote the integration of meaningful tools in the English teaching process with multilevel groups in the classroom at the university. This article gives an account of the scope of intrinsic motivation in the bilingual teacher and its effects in the pedagogical practice and, in general; the use of intrinsic motivation improving the work of the bilingual teacher.

Abstract\nEpigenomic alterations as a principle changes in the pathogenesis of breast cancer have recently been noticed in epimarker researches in peripheral blood. In this way, DNA samples isolated from white blood cells of 30 breast cancer patients compared to 30 healthy controls, using methylated DNA immunoprecipitation microarray (MeDIP-chip) \n\n A total of 1799 differentially methylated regions were identified including ZNF154, BCL9 and HOXD9 whose significant methylation differences were confirmed in breast cancer patients through quantitative real-time polymerase chain reaction. Differentially methylation of mentioned genes has been reported in different cancers tissue and cell free DNA including breast cancer. Based on our knowledge this is first report of methylation of these genes in WBC of breast cancer patients. Methylation of those genes listed in the white blood cells of our young patients not only relates to their importance in the pathogenesis of breast cancer, but may also highlight their potential as primary epimarkers that warrant further evaluation in large cohort studies. It is important to note that methylation alteration in WBC as well as genetic mutation could be identify years before cancer development that emphasize this issue as potential screening marker.

Rangifer tarandus is a keystone species in the Arctic and have shaped human land use in the Arctic for tens of thousands of years. The migratory ecotype requires large landscapes and long migrations between summer and winter ranges to meet their nutritional needs. The extent to which however these ranges have remained the same has been controversial and uncertain. Archaeological caribou herd identity is usually ascribed based on modern caribou herd distribution. However, no study has assessed the validity of the implicit assumption of multi-thousand years of range stasis. Given the distribution and landscape use of caribou herds may change in response to climate shifts, it is important to assess whether past and present calving grounds locations may have shifted. In this study, we applied strontium isotope data to identify calving grounds of 200±30 BP archaeological caribou from the Lake Kaiyak site (MIS-00032), a site near the calving grounds of the modern Western Arctic Herd (WAH). We found that the 87Sr/ 86Sr values of the molars were consistent with those predicted for the WAH calving grounds. The dental enamel from the neonatal line (NNL), a pathological marker of birth, was consistent with the modern WAH calving grounds and the early summer range. These results suggest archaeological specimens were WAH animals and the calving grounds of the WAH have been consistent over the past 200 years. Broadly, this supports the use of strontium analysis of permanent molars with an emphasis on the NNL to determine herd identity of wild ungulates in the archaeological record, which has important implications for archaeology and modern wild ungulate herd management.

The quality of crop yield is reduced due to leaf diseases in agriculture. Therefore, it is possible to automate the recognition of leaf diseases to improve yield in the farming sector. However, most systems lack in performance due to different patterns of leaf disease that influence the precision of detection. In this paper, a computer vision framework is developed by framing a model that consists of image acquisition, feature extraction and image classification. A deep learning classifier namely Deep Belief Network (DBN) is used for classification of real-time images. The experimental results on pepper plant leaf disease detection show that the proposed method has improved rate of classification than other existing methods. The classification result shows that whether the leaf is diseased or not.