•Combined impinging jets are investigated at low nozzle-plate distances.•Heat transfer and heat uniformity are compared for the confined and unconfined jet cases.•Heat transfer correlation is ...presented depending on swirl density and H/D.•The pressure field on the impingement plate is associated with heat transfer.
This study investigates the heat transfer and flow dynamics of combined impinging jets at low nozzle-plate distances. The combined jets comprise (i) circular and quadruple helical jets and (ii) circular and double helical jets. A conventional jet is generated from the only circular part of the combined jet. Experiments are conducted with a constant total flow rate (Qt = 85 LPM) and low nozzle-plate distances (H/D = 0.1, 0.2, 0.3, 0.4) for confined and unconfined jet cases. Flow rate ratios (Q*=0.176, 0.235, 0.352, 0.588, 0.823) are used for different swirl intensities. A numerical study was performed using ANSYS Fluent software. The results show that the numerical analysis is consistent with the experimental research. The combined impingement jet shows a potential to improve the low heat transfer occurring at the stagnation zone at low nozzle-plate distance in the swirl jet, leading to non-uniform heat transfer. The confined jet case at the low nozzle-plate distance reduces the heat transfer at the stagnation point and over the entire plate as regards the unconfined jet case. Increasing the H/D distance in the combined impinging jet improves the heat transfer in the confined jet case but reduces it in the unconfined case. Correlations are given for heat transfer prediction depending on H/D and Q* for unconfined and confined cases of the combined jet. Increasing the flow rate ratio and the nozzle-plate distance increases the heat transfer uniformity for the confined and unconfined jet cases. In contrast, the unconfined jet case is better regarding heat transfer uniformity. The confinement plate creates a negative pressure on the impingement plate in all conditions. In contrast, the unconfined jet case is precisely the opposite.
In determining the relationship between the budget deficit and inflation in literature, the effect of the budget deficit on inflation has been widely focused on. Although the impact of inflation on ...the budget deficit is highly significant, there has been a lack of sufficient research on this matter. There are two different views put forward on this issue. The first of these is the Tanzi effect; argues that an increase in inflation will cause a real decrease in tax revenues and therefore the budget deficit will increase. The opposing view is known as the Patinkin effect and suggests that the budget deficit will decrease because inflation will reduce real public expenditures. In this study, the effect of inflation on the budget deficit was investigated for the period 1960-2022 in Turkiye. Considering that the data period may contain many structural breaks, Carrion-i-Silvestre unit root test and Maki cointegration test were used. The years 1995, 2002, 2007, 2011 and 2018 were determined as the break dates. According to the results, the inflation rate has an increasing effect on the budget deficit in the period when there is no break. The overall result did not change when the effect of breaks was included. With these findings, it can be said that the Tanzi effect is more dominant in Turkiye.
Objective
Autoimmune encephalitis is most frequently associated with anti‐NMDAR autoantibodies. Their pathogenic relevance has been suggested by passive transfer of patients' cerebrospinal fluid ...(CSF) in mice in vivo. We aimed to analyze the intrathecal plasma cell repertoire, identify autoantibody‐producing clones, and characterize their antibody signatures in recombinant form.
Methods
Patients with recent onset typical anti‐NMDAR encephalitis were subjected to flow cytometry analysis of the peripheral and intrathecal immune response before, during, and after immunotherapy. Recombinant human monoclonal antibodies (rhuMab) were cloned and expressed from matching immunoglobulin heavy‐ (IgH) and light‐chain (IgL) amplicons of clonally expanded intrathecal plasma cells (cePc) and tested for their pathogenic relevance.
Results
Intrathecal accumulation of B and plasma cells corresponded to the clinical course. The presence of cePc with hypermutated antigen receptors indicated an antigen‐driven intrathecal immune response. Consistently, a single recombinant human GluN1‐specific monoclonal antibody, rebuilt from intrathecal cePc, was sufficient to reproduce NMDAR epitope specificity in vitro. After intraventricular infusion in mice, it accumulated in the hippocampus, decreased synaptic NMDAR density, and caused severe reversible memory impairment, a key pathogenic feature of the human disease, in vivo.
Interpretation
A CNS‐specific humoral immune response is present in anti‐NMDAR encephalitis specifically targeting the GluN1 subunit of the NMDAR. Using reverse genetics, we recovered the typical intrathecal antibody signature in recombinant form, and proved its pathogenic relevance by passive transfer of disease symptoms from man to mouse, providing the critical link between intrathecal immune response and the pathogenesis of anti‐NMDAR encephalitis as a humorally mediated autoimmune disease.
Parasites and plant seeds may both be found in appendectomy specimens. Each plant seed has a different appearance and can thus exhibit wide variations under the microscope. Fragmented seeds may ...histologically mimic parasites. The differential diagnosis between seeds and parasites can be challenging in such cases. This study aimed to determine the incidence of parasites, seeds, and foreign bodies in appendectomy materials and highlight the most characteristic histopathological features associated with these structures.
In this study, pathology slides of 9,480 patients, who underwent appendectomy between 2010 and 2021, were reviewed, and cases that contained parasites, seeds, or foreign bodies were identified. We reviewed the literature on seeds and parasites in appendectomy specimens.
Parasites were observed in 56 (0.6%) cases. Of these cases, 45 had Enterobius vermicularis (80%), and 11 had Taenia subspecies (20%). Plant seeds were observed in 47 cases (0.5%), and were macroscopically recognizable in 5 of them as olive, lemon, and cherry seeds. Parasites and seeds were usually observed in the lumen of appendix vermiformis, filled with abundant fecal materials.
Seeds are seen in approximately 0.5% of the appendectomy specimens. Though rarely seen, the fragmented seed appearance may cause diagnostic difficulties. In this context, the key morphological features of parasites and plant seeds outlined in this study may be helpful in their differential diagnosis.
With the prevalence of obesity in adolescents, and its long-term influence on their overall health, there is a large body of research exploring better ways to reduce the rate of obesity. A ...traditional way of maintaining an adequate body mass index (BMI), calculated by measuring the weight and height of an individual, is no longer enough, and we are in need of a better health care tool. Therefore, the current research proposes an easier method that offers instant and real-time feedback to the users from the data collected from the motion sensors of a smartphone. The study utilized the mHealth application to identify participants presenting the walking movements of the high BMI group. Using the feedforward deep learning models and convolutional neural network models, the study was able to distinguish the walking movements between nonobese and obese groups, at a rate of 90.5%. The research highlights the potential use of smartphones and suggests the mHealth application as a way to monitor individual health.
Background
Although neurofibromatosis type 1 (NF1) is a common genetical disorder, symptoms due to neural involvement are rare among infants and children. Ganglioneuromas are slow-growing tumors and ...can be seen in patients with NF1. However, bilateral symmetrical involvement is very rarely reported in the literature. We present a rare pediatric case with NF1 who presented with upper cervical bilateral symmetrical ganglioneuroma.
Case presentation
A 7-year-old male presented with progressive gait disturbance, falls, and bilateral limb and trunk numbness that started several weeks ago. Physical examination revealed generalized café au lait spots, neurofibromas, and axillary and inguinal freckling. Family history for NF1 was positive. Neurological examination showed slight paraparesis and hypoesthesia of the upper extremities with C4–C5 dermatomas being more distinct. Cervical magnetic resonance imaging (MRI) revealed contrast enhancing dumbbell-shaped symmetrical lesions originating from both C3 nerve roots extending to C2–C5 vertebral body levels. There was a significant spinal cord compression causing myelopathy as well as dystrophic changes and kyphotic deformity at those levels. The patient was operated and the lesions were totally excised via C2–3–4 laminoplasty. Histopathological evaluation reported the lesion as ganglioneuroma. Following the surgery for excision of the lesions, the patient presented with rapidly progressing kyphotic deformity and underwent rigid craniocervical fusion.
Conclusion
Ganglioneuromas are seen among children, tend to occur in the mediastinum, abdomen, and retroperitoneal area, and may accompany NF1. Cervical spinal ganglioneuroma, however, is a very rare entity. Co-existence of NF1 and bilateral symmetrical cervical ganglioneuroma is highly unusual. Like neurofibromas, ganglioneuromas are slow-growing tumors and therefore they are not expected to cause myelopathy and related symptoms during childhood. Symmetrical nature of the lesions results in myelopathy and early onset of symptoms. Due to the risk of postoperative increase of kyphotic angulation, laminoplasty should be considered. Although laminoplasty alone does not prevent the progression of kyphotic changes, the procedure may allow the use of sublaminar wires and laminar hooks for future surgeries to correct the deformity.
•A robust technique is presented for MR image-based brain tumor detection.•The residual blocks improve the classification achievement.•Deep features are extracted from FC layers and ...residual-convolutional layers.•The L1NSR feature selection algorithm improves the classification performance.
One of the most dangerous diseases in the world is brain tumors. After the brain tumor destroys healthy tissues in the brain, it multiplies abnormally, causing an increase in the internal pressure in the skull. If this condition is not diagnosed early, it can lead to death. Magnetic Resonance Imaging (MRI) is a diagnostic method frequently used in soft tissues with successful results. This study presented a new deep learning-based approach, which automatically detects brain tumors using Magnetic Resonance (MR) images. Convolutional and fully connected layers of a new Residual-CNN (R-CNN) model trained from scratch were used to extract deep features from MR images. The representation power of the deep feature set was increased with the features extracted from all convolutional layers. Among the deep features extracted, the 100 features with the highest distinctiveness were selected with a new multi-level feature selection algorithm named L1NSR. The best performance in the classification stage was obtained by using the SVM algorithm with the Gaussian kernel. The proposed approach was evaluated on two separate data sets composed of 2-class (healthy and tumor) and 4-class (glioma tumor, meningioma tumor, pituitary tumor, and healthy) datasets. Besides, the proposed approach was compared with other state-of-the-art approaches using the respective datasets. The best classification accuracies for 2-class and 4-class datasets were 98.8% and 96.6%, respectively.