Evaluación de sustentabilidad comparativa de dos sistemas agrícolas de San Carlos, Mendoza, Argentina

Siendo la Agroecología una realidad creciente a nivel local, y siendo importante su promoción, pretendemos contribuir a la construcción de herramientas para evaluar sustentabilidad. Se evaluó de forma comparativa dos agroecosistemas, poniendo en evidencia aquellos aspectos que le otorgan mayor sustentabilidad relativa a uno respecto de otro. La metodología nos permitió la cuantificación y el análisis de los agroecosistemas desde un enfoque holístico y sistémico simplificando el concepto de sustentabilidad en valores simples y objetivos, llamados indicadores, detectando la tendencia del sistema hacia una condición más o menos sustentable. Se identificaron los puntos críticos, que en el caso del sistema convencional son la escasa biodiversidad y la alta dependencia de insumos externos y en el caso del sistema en transición son el manejo ineficiente del agua y la dependencia de ingresos extraprediales; en ambos el manejo del suelo es una fortaleza. Las diferencias entre ellos se relacionan con la lógica de quienes los conducen, más reduccionista en el primer caso y más integral en el segundo. Los resultados confirman la importancia del desarrollo de indicadores acordes a la realidad local.Eje: A1: Sistemas de producción de base agroecológicaFacultad de Ciencias Agrarias y Forestale

A muscle synergy-based method to estimate muscle activation patterns of children with cerebral palsy using data collected from typically developing children

Preparing children with cerebral palsy prior to gait analysis may be a challenging and time-intensive task, especially when large number of sensors are involved. Collecting minimum number of electromyograms (EMG) and yet providing adequate information for clinical assessment might improve clinical workflow. The main goal of this study was to develop a method to estimate activation patterns of lower limb muscles from EMG measured from a small set of muscles in children with cerebral palsy. We developed and implemented a muscle synergy extrapolation method able to estimate the full set of lower limbs muscle activation patterns from only three experimentally measured EMG. Specifically, we extracted a set of hybrid muscle synergies from muscle activation patterns of children with cerebral palsy and their healthy counterparts. Next, those muscle synergies were used to estimate activation patterns of muscles, which were not initially measured in children with cerebral palsy. Two best combinations with three (medial gastrocnemius, semi membranous, and vastus lateralis) and four (lateral gastrocnemius, semi membranous, sartorius, and vastus medialis) experimental EMG were able to estimate the full set of 10 muscle activation patterns with mean (+/- standard deviation) variance accounted for of 79.93 (+/- 9.64)% and 79.15 (+/- 6.40)%, respectively, using only three muscle synergies. In conclusion, muscle activation patterns of unmeasured muscles in children with cerebral palsy can be estimated from EMG measured from three to four muscles using our muscle synergy extrapolation method. In the future, the proposed muscle synergy-based method could be employed in gait clinics to minimise the required preparation time

Treatment of Fatigue in Multiple Sclerosis Patients: A Neurocognitive Approach

The objective of the study was to treat fatigue in patients with multiple sclerosis (MS) by a neurocognitive rehabilitation program aimed at improving motor planning by using motor imagery (MI). Twenty patients with clinically definite MS complaining of fatigue were treated for five weeks with exercises of neurocognitive rehabilitation twice a week. Patients were evaluated by Fatigue Severity Scale (FSS), Modified Fatigue Impact Scale (MFIS), MSQoL54, Expanded Disability Status Scale (EDSS), and MS Functional Composite (MSFC). After treatment, a decrease in fatigue was detected with both FSS (P = 0.0001) and MFIS (P = 0.0001). MSFC (P = 0.035) and MSQoL54 (P = 0.002) scores improved compared to baseline. At six-month followup, the improvement was confirmed for fatigue (FSS, P = 0.0001; MFIS P = 0.01) and for the physical subscale of MSQoL54 (P = 0.049). No differences in disability scales were found. These results show that neurocognitive rehabilitation, based on MI, could be a strategy to treat fatigue in MS patients

Diagnostic guidelines for the histological particle algorithm in the periprosthetic neo-synovial tissue

Background The identification of implant wear particles and non-implant related particles and the characterization of the inflammatory responses in the periprosthetic neo-synovial membrane, bone, and the synovial-like interface membrane (SLIM) play an important role for the evaluation of clinical outcome, correlation with radiological and implant retrieval studies, and understanding of the biological pathways contributing to implant failures in joint arthroplasty. The purpose of this study is to present a comprehensive histological particle algorithm (HPA) as a practical guide to particle identification at routine light microscopy examination. Methods The cases used for particle analysis were selected retrospectively from the archives of two institutions and were representative of the implant wear and non-implant related particle spectrum. All particle categories were described according to their size, shape, colour and properties observed at light microscopy, under polarized light, and after histochemical stains when necessary. A unified range of particle size, defined as a measure of length only, is proposed for the wear particles with five classes for polyethylene (PE) particles and four classes for conventional and corrosion metallic particles and ceramic particles. Results All implant wear and non-implant related particles were described and illustrated in detail by category. A particle scoring system for the periprosthetic tissue/SLIM is proposed as follows: 1) Wear particle identification at light microscopy with a two-step analysis at low (× 25, × 40, and × 100) and high magnification (× 200 and × 400); 2) Identification of the predominant wear particle type with size determination; 3) The presence of non-implant related endogenous and/or foreign particles. A guide for a comprehensive pathology report is also provided with sections for macroscopic and microscopic description, and diagnosis. Conclusions The HPA should be considered a standard for the histological analysis of periprosthetic neo-synovial membrane, bone, and SLIM. It provides a basic, standardized tool for the identification of implant wear and non-implant related particles at routine light microscopy examination and aims at reducing intra-observer and inter-observer variability to provide a common platform for multicentric implant retrieval/radiological/histological studies and valuable data for the risk assessment of implant performance for regional and national implant registries and government agencies

Il messaggio di Tariq Ramadan, riformista musulmano, e la sua ricezione in Francia e Italia

Tariq Ramadan è un intellettuale attivista musulmano che vive in Europa: questo elaborato vuole essere un'analisi della ricezione del suo pensiero in Francia e in Italia. Egli infatti suscita pareri contrastanti: chi lo considera un musulmano riformatore aperto al confronto con la cultura occidentale, chi lo ritiene un personaggio pericoloso che mira all'islamizzazione dell' Europa

Subject-specific calibration of neuromuscular parameters enables neuromusculoskeletal models to estimate physiologically plausible hip joint contact forces in healthy adults

In-vivo hip joint contact forces (HJCF) can be estimated using computational neuromusculoskeletal (NMS) modelling. However, different neural solutions can result in different HJCF estimations. NMS model predictions are also influenced by the selection of neuromuscular parameters, which are either based on cadaveric data or calibrated to the individual. To date, the best combination of neural solution and parameter calibration to obtain plausible estimations of HJCF have not been identified. The aim of this study was to determine the effect of three electromyography (EMG)-informed neural solution modes (EMG-driven, EMG-hybrid, and EMG-assisted) and static optimisation, each using three different parameter calibrations (uncalibrated, minimise joint moments error, and minimise joint moments error and peak HJCF), on the estimation of HJCF in a healthy population (n = 23) during walking. When compared to existing in-vivo data, the EMG-assisted mode and static optimisation produced the most physiologically plausible HJCF when using a NMS model calibrated to minimise joint moments error and peak HJCF. EMG-assisted mode produced first and second peaks of 3.55 times body weight (BW) and 3.97 BW during walking; static optimisation produced 3.75 BW and 4.19 BW, respectively. However, compared to static optimisation, EMG-assisted mode generated muscle excitations closer to recorded EMG signals (average across hip muscles R2 = 0.60 ± 0.37 versus R2 = 0.12 ± 0.14). Findings suggest that the EMG-assisted mode combined with minimise joint moments error and peak HJCF calibration is preferable for the estimation of HJCF and generation of realistic load distribution across muscles.</p

A calibrated EMG-informed neuromusculoskeletal model can appropriately account for muscle co-contraction in the estimation of hip joint contact forces in people with hip osteoarthritis

Abnormal hip joint contact forces (HJCF) are considered a primary mechanical contributor to the progression of hip osteoarthritis (OA). Compared to healthy controls, people with hip OA often present with altered muscle activation patterns and greater muscle co-contraction, both of which can influence HJCF. Neuromusculoskeletal (NMS) modelling is non-invasive approach to estimating HJCF, whereby different neural control solutions can be used to estimate muscle forces. Static optimisation, available within the popular NMS modelling software OpenSim, is a commonly used neural control solution, but may not account for an individual's unique muscle activation patterns and/or co-contraction that are often evident in pathological population. Alternatively, electromyography (EMG)-assisted neural control solutions, available within CEINMS software, have been shown to account for individual activation patterns in healthy people. Nonetheless, their application in people with hip OA, with conceivably greater levels of co-contraction, is yet to be explored. The aim of this study was to compare HJCF estimations using static optimisation (in OpenSim) and EMG-assisted (in CEINMS) neural control solutions during walking in people with hip OA. EMG-assisted neural control solution was more consistent with both EMG and joint moment data than static optimisation, and also predicted significantly higher HJCF peaks (p < 0.001). The EMG-assisted neural control solution also accounted for more muscle co-contraction than static optimisation (p = 0.03), which probably contributed to these higher HJCF peaks. Findings suggest that the EMG-assisted neural control solution may estimate more physiologically plausible HJCF than static optimisation in a population with high levels of co-contraction, such as hip OA.</p

Exploring Emotions Related to the COVID-19 Pandemic through Death Education: A Qualitative Study at Italian Primary Schools

Background: The COVID-19 pandemic has impacted the lives of individuals, families, and children worldwide. In Italy, the implementation of measures such as lockdowns and distance learning in schools affected the mental health of children and families. Methods: This article employs a qualitative method to explore the efficacy of a death education project that aimed to help primary school children process the emotions and losses that they experienced during the COVID-19 pandemic. The study encompassed both the children who took part in the death education project and their teachers and parents to investigate their perspectives on the emotions of the minors and the effectiveness of the project. Results: Distance learning posed challenges for the learning process and exacerbated social inequalities. The children suffered from limited social contact with their friends and experienced negative emotions, including anger, fear, and concern for the health of their loved ones. The death education project provided a safe space for children’s emotional expression and facilitated their acquisition of coping strategies. Open communication between adults and children about illness and death proved effective in mitigating the psychological impacts of loss and preventing traumatic bereavement. Conclusion: The findings highlight the utility of death education in enhancing children’s ability to express their emotions and approach the topic of death more frankly