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Necrosis of intact premolar caused by an adjacent apical infection: a case report
Asgary, Saeed,Marvasti, Laleh Alim The Korean Academy of Conservative Dentistry 2013 Restorative Dentistry & Endodontics Vol.38 No.2
Although periapical inflammatory lesions are usually resulted by infection in the root canal system, this rare case showed that a periapical lesion related to an infected tooth may cause pulpal necrosis in adjacent intact tooth, with no history or clinical signs of caries, disease, trauma or developmental anomaly. This case also suggests that the periapical lesion can be treated conservatively, without surgical intervention. Furthermore, this case highlights the importance of prompt treatment of apical periodontitis before the lesion becomes extensive as well as follows up of large lesions.
Kheiry, Fatemeh,Kargarian-Marvasti, Sadegh,Afrashteh, Sima,Mohammadbeigi, Abolfazl,Daneshi, Nima,Naderi, Salma,Saadat, Seyed Hossein The Korean Pediatric Society 2020 Clinical and Experimental Pediatrics (CEP) Vol.63 No.9
Background: Length of stay is a significant indicator of care effectiveness and hospital performance. Owing to the limited number of healthcare centers and facilities, it is important to optimize length of stay and associated factors. Purpose: The present study aimed to investigate factors associated with neonatal length of stay in the neonatal intensive care unit (NICU) using parametric and semiparametric models and compare model fitness according to Akaike information criterion (AIC) between 2016 and 2018. Methods: This retrospective cohort study reviewed 600 medical records of infants admitted to the NICU of Bandar Abbas Hospital. Samples were identified using census sampling. Factors associated with NICU length of stay were investigated based on semiparametric Cox model and 4 parametric models including Weibull, exponential, log-logistic, and log-normal to determine the best fitted model. The data analysis was conducted using R software. The significance level was set at 0.05. Results: The study findings suggest that breastfeeding, phototherapy, acute renal failure, presence of mechanical ventilation, and availability of central venous catheter were commonly identified as factors associated with NICU length of stay in all 5 models (P<0.05). Parametric models showed better fitness than the Cox model in this study. Conclusion: Breastfeeding and availability of central venous catheter had protective effects against length of stay, whereas phototherapy, acute renal failure, and mechanical ventilation increased length of stay in NICU. Therefore, the identification of factors associated with NICU length of stay can help establish effective interventions aimed at decreasing the length of stay among infants.
Necrosis of intact premolar caused by an adjacent apical infection: a case report
Saeed Asgary,Laleh Alim Marvasti 大韓齒科保存學會 2013 Restorative Dentistry & Endodontics Vol.38 No.2
Although periapical inflammatory lesions are usually resulted by infection in the root canal system, this rare case showed that a periapical lesion related to an infected tooth may cause pulpal necrosis in adjacent intact tooth, with no history or clinical signs of caries, disease, trauma or developmental anomaly. This case also suggests that the periapical lesion can be treated conservatively, without surgical intervention. Furthermore, this case highlights the importance of prompt treatment of apical periodontitis before the lesion becomes extensive as well as follows up of large lesions.
Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
Rouhollah Amiri,Hojatollah Zamani,Fereidoon Behnia,Farokh Marvasti 한국통신학회 2016 ICT Express Vol.2 No.1
In this paper, a sparsity-aware hybrid target localization method in multiple-input-multiple-output (MIMO) radars from time difference of arrival (TDOA) and angle of arrival (AOA) measurements is proposed. This method provides a maximum likelihood estimate of target position by employing compressive sensing techniques. A blockwise approach is addressed in order to achieve better accuracy for a constant computational complexity. The mismatch problem due to grid discretization is also tackled by a dictionary learning technique. The Cramer-Rao lower bound for this model is derived as a benchmark. Numerical simulations are included to corroborate the theoretical developments.