Evaluation and Comparison of Fracture Strength and Fluoride Releasing Properties of New Alkasite Materials with Conventional Restorative Material, Bulk Fill Composite and Glass Ionomer Cement: An In-Vitro Study.

Aim: This study aimed to evaluate and compare fluoride ion release by Cention-N (self-cure and light-cure) and conventional glass-ionomer cement (GIC) at different pH levels and time intervals. Methodology: For fluoride release assessment, 240 samples (10 mm diameter, 2 mm height) of Cention-N and conventional glass-ionomer cement were created using rubber rings. Samples were stored in deionized water, and the cumulative fluoride ion release and change in pH were assessed using a spectrophotometer and pH meter, respectively, at the end of 7 days, 14 days, and 21 days. The obtained data were subjected to statistical analysis. Results: All three samples exhibited very high fluoride release in an acidic medium compared to the neutral medium. Although GIC demonstrated superior fluoride release, Cention-N displayed adequate fluoride release over a longer duration. Conclusions: Within the limitations of this study, it can be concluded that both Glass ionomer cement and Cention-N showed an initial fluoride burst.

Study on Factors Associated with Depression among Elderly and Comparison of Two Scales Used for Screening.

BACKGROUND: Depression is one of the most frequent illnesses found among the elderly. ICD-10 scale and Geriatric Depression Scale (GDS) are used commonly for screening and hence it is important to identify the scale which can be used more effectively in community settings. OBJECTIVES: (1) To analyze the factors responsible for the elderly depression and (2) to compare two scales used for the screening (ICD-10 and GDS). MATERIALS AND METHODS: A cross-sectional house-to-house survey was carried in Sayla taluka of Surendranagar district by directly questioning the subjects after oral and written consent. The selection of taluka was done using simple random sampling and sample size was calculated on the basis of estimated geriatric population. 306 subjects were interviewed using a predesigned, pretested, and validated questionnaire. RESULTS: GDS showed the prevalence of 16% whereas ICD-10 showed 22%. The factors associated with depression were physical health, poor economical situation, and avoidance by family members. The agreement between the 2 scales using Cohen's kappa statistic showed excellent agreement. CONCLUSION: Community-based multiphasic screening programs is needed for early diagnosis of geriatric depression. ICD-10 having lesser number of questions can be used in the 1st phase of screening and those found positive can then be tested by GDS.

Optimization assisted Kalman filter for cancer chemotherapy dosage estimation.

Cancer is regarded to be the earth's most deadly disease, with one of the highest mortality rates among people. "Surgery, radiotherapy, chemotherapy, hormone therapy, and immunotherapy" were all options for treat cancer. Chemotherapy is a medication that is most often deployed for treating cancer, as cancer cells develop and proliferate faster than other cells in the body. Even though chemotherapy is an effective method to treatment various kinds of cancers, the treatment includes risk as it causes side effects due to improper drug usage. The application of a controller-based strategy for determining the optimal rate of drug injection during treatment has risen dramatically in recent years. Thereby, this work develops a robust controller for controlling the dosage of drugs that is carried out under parameter estimation. In addition, a Modified Regularized Error Function-based Extended Kalman filter (MREF-EKF) is introduced for estimating the tumor cells and it can be exploited for diverse conditions. Moreover, the overfitting issue that occurs during drug dosage estimation is also solved using this approach. Further, to improve the performance of the developed approach, the initial state of EKF is fine-tuned via Mean fitness-based Particle Swarm Update (MF-PSU), which is the enhanced version of Particle Swarm Optimization (PSO). At last, the supremacy of the presented approach is proved with respect to convergence analysis and error analysis. For instance, our method outperforms existing GWO + ek + m, AGWO + ek + m, and PSO + ek + m approaches in convergence analysis at noise level 0.41 by 0.009%, 0.002%, and 4.9% respectively. In error analysis, the error values for tumor cells have reached a minimum error value of zero for all noise levels (0.41, 0.43, and 0.55). The findings of this study can help for a better understanding of our presented robust controller's effectiveness in controlling the dosage of drugs.

Control strategy with multivariable fault tolerance module for automatic intravenous anesthesia.

In the anesthesia automation, an automatic propofol infusion system uses Bi-spectral Index Signal (BIS) as a primary feedback signal to manipulate propofol dose. However, the BIS signal may be suspended for some time due to poor EEG signal quality, noise, and many other factors. Therefore, BIS signal failure may be the main cause of inadequate propofol infusion. This fact motivates the need for integration of multivariable fault tolerance module (MFTM) and fractional-order Smith predictor controller to avoid adverse reactions of inadequate propofol dosing during BIS failure. Smith Predictor control strategy is sufficiently robust to predict feedback BIS during BIS failure via patient pharmacological modeled BIS. However, modeled BIS may not provide a guarantee of adequate propofol infusion during BIS failure and especially in the presence of hypotension and hypertension. Thus, the proposed control strategy is designed with MFTM to detect BIS sensor fault and to estimate feedback BIS during BIS failure. Further, the proposed control strategy is designed with a multivariable pharmacological patient model to analyze the cross effect of propofol infusion on BIS and hemodynamic variables. The robustness of the proposed control strategy is tested in the presence of noxious surgical stimulation, BIS sensor fault and heavy hemodynamic disturbance. The pharmacological parameters and recorded signals of 30 patients during various surgeries have been used to validate simulated results. The performance of the proposed control strategy assures optimization and smooth propofol infusion during BIS failure. The proposed system provides stability for a wide range of physiological parameters range. The proposed scheme maintains smooth BIS and MAP signal despite the delay, BIS sensor fault, and surgical disturbances.

Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour Modeling.

Traumatic abdominal injury can lead to multiple complications including laceration of major organs such as kidneys. Contrast-enhanced Computed Tomography (CT) is the primary imaging modality for evaluating kidney injury. However, the traditional visual examination of CT scans is time consuming, non-quantitative, prone to human error, and costly. In this work we propose a kidney segmentation method using machine learning and active contour modeling. We first detect an initialization mask inside the kidney and then evolve its boundary. This model is specifically developed and evaluated on trauma cases. Our experimental results show the average recall score of 92.6% and average Dice similarity value of 88.9%.

Liver segmentation using location and intensity probabilistic atlases.

In a variety of injuries and illnesses, internal organs in the abdominal and pelvic regions, in particular liver, may be compromised. In the current practice, CT scans of liver are visually inspected to investigate the integrity of the organ. However, the size and complexity of the CT images limits the reliability of visual inspection to accurately assess the health of liver. Computer-aided image analysis can create fast and quantitative assessment of liver from the CT, in particular in the environments where access to skilled radiologists may be limited. In this paper we propose a hierarchical method based on probabilistic models of position and intensity of voxels for automated segmentation of liver that achieves the Dice similarity coefficient of higher than 89%.

Dramatic response to infliximab in refractory neurosarcoidosis.

Sarcoidosis is a systemic disease characterized by noncaseating granulomas in the involved organs. Neurologic manifestations involving the central and/or peripheral nervous system occur in about 5% of patients. Neurosarcoidosis is often refractory to conventional treatment and therefore more effective treatment options are needed. While the etiology of the disease is still unknown, there is now a better understanding of its pathogenesis on a molecular level. It is clear that tumor necrosis factor-α (TNFα) plays a pivotal role in the development of the granulomas and it is believed to be a key cytokine involved in the pathogenesis of the disease. Taking advantage of this better understanding of disease pathogenesis, anti-TNFα agents are being increasingly used to treat refractory sarcoidosis. We report a patient with refractory neurosarcoidosis who showed dramatic improvement in the clinical and radiological manifestations following treatment with infliximab; he suffered a relapse upon discontinuation of the medication.

Exophthalmos as a presenting manifestation of limited Wegener's granulomatosis in a patient with prior graves' disease.

Wegener's granulomatosis is a granulomatous necrotizing vasculitis characterized by its predilection to affect the upper and lower respiratory tracts and kidneys. Ocular manifestations such as keratitis, conjunctivitis, scleritis, episcleritis, nasolacrimal duct obstruction, uveitis, retroorbital pseudotumor with proptosis retinal vessel occlusion, and optic neuritis have all been described. We present a case of limited Wegener's granulomatosis presenting with proptosis. A 57 year old woman with a history of Graves' disease 20 yrs ago, presented to her ophthalmologist with new onset of exophthalmos of right eye. An MRI of the brain and orbits revealed a soft tissue mass behind the right orbit. The biopsy of the mass revealed transmural inflammation with fibrinoid necrosis consistent with necrotizing vasculitis. She was diagnosed with Wegener's granulomatosis limited to the eye and was treated with oral cyclophosphamide and prednisone followed by weekly methotrexate with good response. Though ocular manifestations of Wegener's granulomatosis are well described, a review of the literature revealed that exophthalmos as the lone presenting manifestation is quite rare. Only two cases have been reported in the English literature since 1977. This case illustrates the importance of considering a diagnosis of limited Wegener's granulomatosis presenting with proptosis of the orbit.

A unique case of a giant congenital pulmonary hemangioma in a newborn.

Congenital pulmonary hemangiomas are extremely rare lesions. We present a unique case of a giant congenital pulmonary hemangioma in an otherwise healthy newborn who presented with respiratory distress at birth. This was managed with resection after an unsuccessful trial of nonoperative management. The clinical, radiographic, and pathologic features of this unique case are discussed in the context of a review of the literature.