A prospective study of clinical and diagnostic methods of ovarian tumors admitted in a tertiary care hospital and its correlation with histopathology

Background: Aim of the study was to study demographic profile and diagnostic modalities of ovarian tumors and their correlation with histopathological report (HPR).Methods: Prospective observational study conducted in NSCB medical college, Jabalpur from February 2019 to July 2020 on subjects with ultrasonographically diagnosed ovarian tumors. Relevant history obtained, gynecologic examination, investigations recorded. Subjects followed up to collection of HPR and correlation with histopathology done.Results: Out of 120 cases of ovarian tumors, 39.16% were malignant and 60.83% were benign ovarian tumors. Out of 80 premenopausal females, majority (78.75%) had benign ovarian masses. Amongst 40 postmenopausal females, 75% of ovarian masses were malignant. CA125 had sensitivity 76.59%, specificity 76.71% and accuracy 76.66% in diagnosing ovarian malignancy. Amongst 4 RMI scores, RMI 1 has the highest sensitivity and specificity 85.10%, 86.30% respectively. Sensitivity, specificity, and accuracy of ultrasound score was 65.21%, 86.30% and 77.5% respectively. Sensitivity and specificity of clinical diagnosis was 83% and 95.89% respectively and ROC analysis showed clinical diagnosis can accurately predict benign and malignant ovarian tumors in 89% cases.Conclusions: RMI 1 score has the highest sensitivity and specificity in our study. When all 4 methods of diagnosis i.e., RMI Score, ultrasound score, CA125 and clinical diagnosis were compared, clinical diagnosis has highest prediction of malignancy

Ionic liquids at electrified interfaces

Until recently, “room-temperature” (<100–150 °C) liquid-state electrochemistry was mostly electrochemistry of diluted electrolytes(1)–(4) where dissolved salt ions were surrounded by a considerable amount of solvent molecules. Highly concentrated liquid electrolytes were mostly considered in the narrow (albeit important) niche of high-temperature electrochemistry of molten inorganic salts(5-9) and in the even narrower niche of “first-generation” room temperature ionic liquids, RTILs (such as chloro-aluminates and alkylammonium nitrates).(10-14) The situation has changed dramatically in the 2000s after the discovery of new moisture- and temperature-stable RTILs.(15, 16) These days, the “later generation” RTILs attracted wide attention within the electrochemical community.(17-31) Indeed, RTILs, as a class of compounds, possess a unique combination of properties (high charge density, electrochemical stability, low/negligible volatility, tunable polarity, etc.) that make them very attractive substances from fundamental and application points of view.(32-38) Most importantly, they can mix with each other in “cocktails” of one’s choice to acquire the desired properties (e.g., wider temperature range of the liquid phase(39, 40)) and can serve as almost “universal” solvents.(37, 41, 42) It is worth noting here one of the advantages of RTILs as compared to their high-temperature molten salt (HTMS)(43) “sister-systems”.(44) In RTILs the dissolved molecules are not imbedded in a harsh high temperature environment which could be destructive for many classes of fragile (organic) molecules

A Transaction Model and Multiversion Concurrency Control for Mobile Database Systems

Transaction management on Mobile Database Systems (MDS) has to cope with a number of constraints such as limited bandwidth, low processing power, unreliable communication, and mobility etc. As a result of these constraints, traditional concurrency control mechanisms are unable to manage transactional activities to maintain availability. Innovative transaction execution schemes and concurrency control mechanisms are therefore required to exploit the full potential of MDS. In this paper, we report our investigation on a multi-versions transaction processing approach and a deadlock-free concurrency control mechanism based on multiversion two-phase locking scheme integrated with a timestamp approach. We study the behavior of the proposed model with a simulation study in a MDS environment. We have compared our schemes using a reference model to argue that such a performance comparison helps to show the superiority of our model over others. Experimental results demonstrate that our model provide significantly higher throughput by improving degree of concurrency, by reducing transaction wait time, and by minimizing restarts and aborts