joint reaction
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2021 ◽  
pp. 147-163
Author(s):  
George Pagoulatos

EMU was a brainchild of contrasting parental personalities. Integrationist European ambition joined disparate national pursuits to create an imperfect EMU architecture, though one amenable to correction through crises. When the debt crisis hit the periphery, recessionary national adjustment was supported by insufficient Eurozone-level reforms. The EU opted for incremental crisis management and paid a price in terms of fragmentation. The Eurozone debt crisis bequeathed a contradictory legacy of both raising the visibility of the reform agenda and raising the bar of political difficulty in bringing it about, having divided Europe between (heartless) ‘creditor’ and (reckless) ‘borrower’ countries. By raising the stakes of EU failure, the Covid-19 crisis operated as a reform accelerator. The joint reaction demonstrated that the EU maintained its survival instinct, drawing on the political capital invested in its preservation. The Eurozone’s reform conundrum remains the glaring gap between what is widely admitted as necessary and what is realized as politically feasible. Consecutive reform attempts have been frustrated by country coalitions that resist movement towards further risk sharing (through the fiscal, financial or monetary channel) or deny any further transfer of national autonomy. There are ways out of the EMU straitjacket. One is formally deferring the rules. Another is saying things without doing them. A third strategy is doing things without saying them. The momentous leap of ‘Next Generation EU’ notwithstanding, EMU remains incomplete, even though confidence in its ability to survive has been greatly boosted by its resilience in the face of the two severe, consecutive crises.


2021 ◽  
Vol 10 (9) ◽  
pp. 594-601
Author(s):  
Kabelan J. Karunaseelan ◽  
Oliver Dandridge ◽  
Sarah K. Muirhead-Allwood ◽  
Richard J. van Arkel ◽  
Jonathan R. T. Jeffers

Aims In the native hip, the hip capsular ligaments tighten at the limits of range of hip motion and may provide a passive stabilizing force to protect the hip against edge loading. In this study we quantified the stabilizing force vectors generated by capsular ligaments at extreme range of motion (ROM), and examined their ability to prevent edge loading. Methods Torque-rotation curves were obtained from nine cadaveric hips to define the rotational restraint contributions of the capsular ligaments in 36 positions. A ligament model was developed to determine the line-of-action and effective moment arms of the medial/lateral iliofemoral, ischiofemoral, and pubofemoral ligaments in all positions. The functioning ligament forces and stiffness were determined at 5 Nm rotational restraint. In each position, the contribution of engaged capsular ligaments to the joint reaction force was used to evaluate the net force vector generated by the capsule. Results The medial and lateral arms of the iliofemoral ligament generated the highest inbound force vector in positions combining extension and adduction providing anterior stability. The ischiofemoral ligament generated the highest inbound force in flexion with adduction and internal rotation (FADIR), reducing the risk of posterior dislocation. In this position the hip joint reaction force moved 0.8° inbound per Nm of internal capsular restraint, preventing edge loading. Conclusion The capsular ligaments contribute to keep the joint force vector inbound from the edge of the acetabulum at extreme ROM. Preservation and appropriate tensioning of these structures following any type of hip surgery may be crucial to minimizing complications related to joint instability. Cite this article: Bone Joint Res 2021;10(9):594–601.


2021 ◽  
Vol 92 ◽  
pp. 103345
Author(s):  
Sebastian Skals ◽  
Rúni Bláfoss ◽  
Lars Louis Andersen ◽  
Michael Skipper Andersen ◽  
Mark de Zee

2021 ◽  
Vol 11 (6) ◽  
pp. 2764
Author(s):  
Yongkyung Lee ◽  
Hai-Mi Yang ◽  
Jinju Jang ◽  
Dai-Soon Kwak ◽  
Jungsung Kim ◽  
...  

Four pairs of fresh-frozen cadaver knees (eight knees, four male knees) with a mean age of 72 ± 7 years were used for tests involving a customized simulator capable of controlling quadriceps loading conditions. The muscle force distribution of the quadriceps for the normal loading condition was applied on the basis of muscle cross-sectional area data, as previously reported (VM: 31 N; RF/VI: 49 N; VL: 45 N). To simulate vastus medialis (VM) impairment, we set the muscle force for VM in the muscle force distribution of the quadriceps at zero (VM: 0 N; RF/VI: 49 N; VL: 45 N). The joint reaction forces and moments on knee joints that underwent total knee arthroplasty (TKA) did not differ significantly according to VM impairment status for all flexion angles (p > 0.05). Nevertheless, the vectors of internal–external moments mostly showed a tendency for alteration from external to internal due to VM impairment. This tendency was evident in 9 cases in 12 total test pairs (with and without VM impairment). Furthermore, the vectors of the anterior–posterior reaction forces mostly showed a tendency to increase anteriorly due to VM impairment. This tendency was also evident in 9 cases in 12 total test pairs (with and without VM impairment). These results indicate that posterior dislocation of the tibia may be induced if VM impairment occurs after TKA. In conclusion, VM impairment in knee joints undergoing TKA may contribute to posterior dislocation of the tibia by a paradoxical roll-back with enhancements of the anterior joint reaction force and external moment during knee-joint flexion. Our findings may be valuable for understanding the mechanism of potential instability and malfunction due to VM impairment in knee joints after TKA, and may help to optimize clinical/rehabilitation training plans to improve the prognosis (stability and function) of knee joints undergoing TKA.


2021 ◽  
Author(s):  
Luca Modenese ◽  
Martina Barzan ◽  
Christopher P Carty

AbstractBackgroundMusculoskeletal (MSK) models based on literature data are meant to represent a generic anatomy and are a popular tool employed by biomechanists to estimate the internal loads occurring in the lower limb joints, such as joint reaction forces (JRFs). However, since these models are normally just linearly scaled to an individual’s anthropometry, it is unclear how their estimations would be affected by the personalization of key features of the MSK anatomy, one of which is the femoral anteversion angle.Research QuestionHow are the lower limb JRF magnitudes computed through a generic MSK model affected by changes in the femoral anteversion?MethodsWe developed a bone-deformation tool in MATLAB (https://simtk.org/projects/bone_deformity) and used it to create a set of seven OpenSim models spanning from 2° femoral retroversion to 40° anteversion. We used these models to simulate the gait of an elderly individual with an instrumented prosthesis implanted at their knee joint (5th Grand Challenge dataset) and quantified both the changes in JRFs magnitude due to varying the skeletal anatomy and their accuracy against the correspondent in vivo measurements at the knee joint.ResultsHip and knee JRF magnitudes were affected by the femoral anteversion with variations from the unmodified generic model up to 11.7±5.5% at the hip and 42.6±31.0% at the knee joint. The ankle joint was unaffected by the femoral geometry. The MSK models providing the most accurate knee JRFs (root mean squared error: 0.370±0.069 body weight, coefficient of determination: 0.764±0.104, largest peak error: 0.36±0.16 body weight) were those with the femoral anteversion angle closer to that measured on the segmented bone of the individual.SignificanceFemoral anteversion substantially affects hip and knee JRFs estimated with generic MSK models, suggesting that personalizing key MSK anatomical features might be necessary for accurate estimation of JRFs with these models.


Author(s):  
Hyun Kyung Kim ◽  
Qichang Mei ◽  
Yaodong Gu ◽  
Ali Mirjalili ◽  
Justin Fernandez

Author(s):  
Syed T. Mubarrat ◽  
Suman K. Chowdhury ◽  
Ashish D. Nimbarte

This study aimed to develop a convolutional neural network (CNN) model to predict shoulder joint reaction forces from 3D body kinematics. Results showed a good convergence between CNN model prediction and musculoskeletal model estimation for six novel tasks. Therefore, a CNN-based deep learning model can be used as a simple and relatively less time- and labor-intensive method to identify unsafe shoulder exertions in order to prevent the incidence of shoulder injuries or pathologies in occupational settings.


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