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In this study, an experimental study was carried out on a heat pipe, whose evaporator is located between the compressor outlet and the condenser inlet of an industrial cooler on a vapor compression cycle (VCC). It absorbs heat from the new generation refrigerant fluid of 515B and transfers it to the outdoor air. The heat pipe is a looped thermosiphon-type heat pipe. R134a refrigerant is used as a working fluid in the heat pipe. By changing the condenser air inlet temperatures, the contribution of the heat pipe to the cooling cycle has been determined experimentally. While the evaporation pressure of the refrigeration cycle with the heat pipe remains approximately constant, the condensation pressure decreases, and the sub-cool temperature increases. For condenser air inlet temperatures of 30, 40, and 50°C, the COP of the cooler with heat pipe increases by 1.8%, 2.6%, and 2.76%, respectively. As the air temperature at the condenser inlet increases, the ratio of heat pipe power to the cooling capacity of the cycle also increases. In addition, the compressor outlet temperature is reduced by 1.5%–2.8% using of the heat pipe. [ABSTRACT FROM AUTHOR]

In the 1950s, the concept of artificial intelligence emerged, suggesting that machines could possess the ability to think and learn. In the 21st century, with advancements in GPUs and CPUs, deep learning has become an integral part of human life. Proximal femoral fractures are known to be one of the leading causes of mortality and injuries among the elderly population. This study aims to detect proximal femoral fractures in X-ray images and compare the success of using the YOLOv4 algorithm and provide decision support system within the diagnosis. To retrain the algorithm, more than 500 patients' X-ray images were examined. Through data augmentation techniques, the initial set of 410 patients' femur proximal fracture X-ray images was expanded to 820 images. After retraining the YOLO algorithm, two different groups were included for comparing the algorithm's performance: orthopedic specialists and general practitioners. The results from these three groups were evaluated using specific criteria. The YOLOv4 model demonstrated an accuracy of 90.33%. In comparison, orthopedic and traumatology resident doctors achieved an accuracy of 91.42%, while the general practitioner group achieved an accuracy of 81.30%. [ABSTRACT FROM AUTHOR]

Battery is one of the largest contributors to the weight of electric vehicles, and its location directly affects the performance of the suspension system. The aim of this article is to determine the optimal battery locations for ride comfort of in-wheel-motor electric automobiles using a nonlinear vehicle suspension model. In the analyses, a seven-degree-of-freedom half-vehicle suspension model was used, in which cubic nonlinearities of all springs and dampers are taken into account in addition to their linear characteristics. In addition to spring and damper nonlinearities, all trigonometric nonlinearities are also considered in the model. Totally 144 different driving scenarios were generated with 48 different sinusoidal road profiles and 3 different travel speeds, and for each scenario by testing 36 battery locations along the vehicle's longitudinal axis, the optimal one was found. The optimization criterion is the minimization of the root-mean-square of the vertical acceleration of the driver and seat. As a result of the 5184 analyses carried out, it has been seen that the optimal battery location is the middle of the vehicle for road profiles with wavelengths between 0.2 and 5 m, whereas the rear of the vehicle for road profiles with wavelengths between 10 and 30 m. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Erciyes Agriculture & Animal Science is the property of Erciyes Tarim ve Hayvan Bilimleri Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Parallel robots have many remarkable advantages over their conventional serial counterparts. Highly accurate positioning capability and high payload-to-weight ratio are among the main ones. The main factor underlying all these advantages is their closed-loop construction. However, this constructional feature also causes a special singularity problem, which constitutes their biggest disadvantage. Characteristic singularities classified as Type II exist inside their workspace, around which the magnitude of the inverse dynamic solution grows unboundedly. This naturally yields the saturation of the actuators and eventually in uncontrollability of the robot. Consequently, the whole workspace becomes impossible to be used. In order to pass through a Type II singularity, the consistency of the motion equations of the robot must be maintained at that singularity. However, any Type II singular configuration can transform into a high-order singularity, which, in order to be passed through, requires additional conditions other than the consistency. Therefore, full utilization of the whole workspace with a minimum number of conditions requires to avoid high-order singularities. The present article contributes to the literature by developing path and trajectory planning principles for preventing a two-degree-of-freedom planar parallel robot with RPRPR structure from experiencing high-order singularities. [ABSTRACT FROM AUTHOR]

Introduction: Functional echocardiography has been used to identify the etiologies of cardiac arrest and to evaluate the benefit of continued resuscitation after cardiac arrest. It gains more importance in the detection of treatable causes, especially in cardiopulmonary resuscitation of newborns with a diagnosed disease that may develop complications such as massive pericardial effusion and thrombosis. Case Report: Here, we present the findings and results of functional echocardiography performed during cardiopulmonary resuscitation of two newborns with neonatal lupus syndrome and congenital nephrotic syndrome. Conclusions: More studies are needed to clarify the usability of functional echocardiography in neonatal cardiopulmonary resuscitation. It is gaining more importance, especially in newborns with a possible diagnosis of complications. The most important situation here is that echocardiography should be performed without affecting the continuity of resuscitation. Accompanied by an experienced user, it will allow rapid identification of reversible causes of cardiac arrest. [ABSTRACT FROM AUTHOR]

Copyright of Sakarya Tıp Dergisi is the property of Sakarya Tip Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)