Model testing results across different boxers with 15% of training dataset. by Saravanan Manoharan (21273304)

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Expert annotation of uncertain instances to refine model training. by Saravanan Manoharan (21273304)

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Literature review. by Saravanan Manoharan (21273304)

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IMU data and video synchronization. by Saravanan Manoharan (21273304)

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Punch types and its kinematics: (a) No punch (b) Long-range rear jab to head (c) Mid-range rear hook to head (d) Mid-range rear uppercut to head. by Saravanan Manoharan (21273304)

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Combined Confusion matrix: (a) Rear hand punch recognition (b) Lead hand punch recognition. by Saravanan Manoharan (21273304)

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Confusion matrix-punch classification. by Saravanan Manoharan (21273304)

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Combined Confusion matrix: (a) Rear hand punch classification (b) Lead hand punch classification. by Saravanan Manoharan (21273304)

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Accuracy metrics with different percentage of the training dataset. by Saravanan Manoharan (21273304)

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Image 1_Case Report: Is there an age cutoff beyond which PFO closure should not be offered?.jpeg by Eustaquio Maria Onorato (11277405)

“…Two-dimensional (2D) transthoracic/transesophageal echocardiography (TTE/TEE) color Doppler showed a significant right-to-left shunt (RLS) via a tunnel-type PFO associated with hypermobile floppy septum primum (HSP) and prominent Eustachian valve (EV). …”

Image 2_Case Report: Is there an age cutoff beyond which PFO closure should not be offered?.jpeg by Eustaquio Maria Onorato (11277405)

“…Two-dimensional (2D) transthoracic/transesophageal echocardiography (TTE/TEE) color Doppler showed a significant right-to-left shunt (RLS) via a tunnel-type PFO associated with hypermobile floppy septum primum (HSP) and prominent Eustachian valve (EV). …”

Average days to heal a wound in 2022 and 2023. by Heba Tallah Mohammed (2822432)

“…</p><p>Results</p><p>Average healing time for all wounds decreased significantly from 62.5 days in 2022 to 38.6 days in 2023, a 38.2% improvement (p < 0.001). …”

Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. by Michele Angelo Colombo (22446342)

“…This decrease was larger in the disconnected than in the contralateral cortex. …”

Time evolution trend of green finance level. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Green finance index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Temporal evolution of urban EE in western China. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Spatial evolution trend of green finance index. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

CCD-GFEE driver index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Spatial evolution of urban EE in western China. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”