Introduction- Intrauterine fetal death (IUFD) is always a massive psycho-affective trauma for a woman and a couple.
The investigation for the cause is essential for improving care by implementing preventative measures. Therefore, this
study aimed to assess the major causes of stillbirth. The study was conduc Methods- ted at a tertiary care hospital in Kolhapur at D.Y PATIL
HOSPITAL. The hospital records of intrauterine fetal death between clinical duration January 2018 to December 2020 were collected and
reviewed and a total of 70 cases with pregnancies of > 28weeks of gestation age, foetus weighing >1000grams and singleton pregnancies were
included. Detailed clinical history, examination and laboratory investigations reports were reviewed to analyse the data. In this study
Demographics and clinical data were analysed using R-studio software (v.1.2.5001). Of t Result- he 70 cases, high number of women who
experienced stillbirth belonged to the age group of 25-30 years (48.57%), had multigravida (70%), female baby (52.86%), term baby (58.57%).
Maternal factors causing stillbirths were evident 62.86% of cases. Hypertensive disorder (25.71%), COVID- 19 positive (10%), congenital
anomaly (1.43%) were the commonest maternal, placental and fetal causes of fetal death respectively. Maternal and placental causes Conclusionare more commonly resulting in an increased risk of stillbirth. Therefore, health care professionals should identify risk factors in order to prevent
stillbirths.
<div>The ability to predict the durability of a structure depends on the knowledge of
operating loads experienced by the structure. Typically, multi-body dynamics
(MBD) models are used to cascade measured wheel loads to hard points. However,
in this approach, there are many sources by which errors creep into cascaded
forces. Any attempt to reduce sources of such errors is time consuming and
costly. In typical program development timelines, it is very difficult to
accommodate such model calibration efforts. Commercial load cells exist in the
industry to give engineers insight into understanding the complex real-world
loading of their structures. A significant limitation to the use of load cells
is that the structure needs to be modified to accept the load cell, and not all
desired loading degrees of freedom (DOFs) can be measured. One of the innovative
solutions to calculate operating loads is to convert the structure itself into
its own load transducer. The D-optimal algorithm along with the pseudo-inverse
technique provides a theoretically sound and versatile method to identify
optimum positions and locations to place the sensors (i.e., strain gauges) on
the structure where its response is to be measured. A pre-calculated calibration
matrix through pseudo-inverse is then used along with measured responses to
reverse calculate loads acting on the structure. The accuracy of calculated
loads with this approach is typically high compared with conventional load
cascading methods as sources of errors are less in this method.</div>
<div>This work is focused on load reconstruction, FE analysis, and lightweighting of
the bell crank lever of a commercial vehicle. Practical difficulties associated
with the load reconstruction method and solutions are also discussed in this
research paper.</div>
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