Resource utilization model for the algorithm to architecture mapping model

The analytical model for resource utilization and the variable node time and conditional node model for the enhanced ATAMM model for a real-time data flow architecture are presented in this research. The Algorithm To Architecture Mapping Model, ATAMM, is a Petri net based graph theoretic model developed at Old Dominion University, and is capable of modeling the execution of large-grained algorithms on a real-time data flow architecture. Using the resource utilization model, the resource envelope may be obtained directly from a given graph and, consequently, the maximum number of required resources may be evaluated. The node timing diagram for one iteration period may be obtained using the analytical resource envelope. The variable node time model, which describes the change in resource requirement for the execution of an algorithm under node time variation, is useful to expand the applicability of the ATAMM model to heterogeneous architectures. The model also describes a method of detecting the presence of resource limited mode and its subsequent prevention. Graphs with conditional nodes are shown to be reduced to equivalent graphs with time varying nodes and, subsequently, may be analyzed using the variable node time model to determine resource requirements. Case studies are performed on three graphs for the illustration of applicability of the analytical theories

The Cluster Multipole Algorithm for Far-Field Computations

Computer simulations of N-body systems are beneficial to study the overall behavior of a number of physical systems in fields such as astrophysics, molecular dynamics, and computational fluid dynamics. A new approach for computer simulations of N-body systems is proposed in this research. The new algorithm is called the Cluster Multipole Algorithm (CMA). The goals of the new algorithm are to improve the applicability to non-point sources and to provide more control on the accuracy over current algorithms. The algorithm is targeted to applications that do not require rebuilding the data structure about the system every time step due to current limitations in the construction of the data structure. Examples of slowly changing systems can be found in molecular dynamics, capacitance, and computational fluid dynamics simulations. As the data structure development is improved, the new algorithm will be applicable to a wider range of applications. The CMA exhibits the flexibility of both Appel\u27s algorithm and the Fast Multipole Method (FMM) without sacrificing the order of computation (O(N)) for well structured clusters. The CMA provides more control on the accuracy of computations as compared to both the FMM and Appel\u27s algorithm resulting in enhanced performance. A set of requirements are imposed on the data structures which are applicable, to maintain O(N) computation. However, the algorithm is capable of handling a wide range of data structures beyond the FMM

Resource Utilization Model for the Algorithm to Architecture Mapping Model

The analytical model for resource utilization, and the variable node time and conditional node model for the enhanced ATAMM model for a real-time data flow architecture, is presented in this research. The Algorithm To Architecture Mapping Model, ATAMM, is a Petri net based graph theoretic model developed at Old Dominion University, and is capable of modeling the execution of large-grained algorithms on a real-time data flow architecture. Using the resource utilization model, the resource envelope may be obtained directly from a given graph and, consequently, the maximum number of required resources may be evaluated. The node timing diagram for one iteration period may be obtained using the analytical resource envelope. The variable node time model, which describes the change in resource requirement for the execution of an algorithm under node time variation, is useful to expand the applicability of the ATAMM model to heterogeneous architectures. The model also describes a method of detecting the presence of resource limited mode and its subsequent prevention. Graphs with conditional nodes are shown to be reduced to equivalent graphs with time varying nodes and, subsequently, may be analyzed using the variable node time model to determine resource requirements. Case studies are performed on three graphs for the illustration of applicability of the analytical theories

Study of association of thyroid disorders with abnormal uterine bleeding

Background: Abnormal uterine bleeding from the vagina that is usually occurred when ovary do not release egg and if it occurred during fertile period leads to various complication like anemia, Infertility etc. and among all causes one of the most common cause of abnormal uterine bleeding is disturbance in level of Thyroid hormones.Methods: 100 female Patients of age group between 20-45 having complain of Abnormal uterine bleeding visited at Gynec OPD of our institute were included in this study. fasting blood samples was taken from all participants and samples were analyzed for Thyroid function test (TSH, T3, T4) at central laboratory of our hospital. Obtained data was analyzed statistically by using prizam software.Results: The bleeding abnormality that is found most of the women is polymenorrhaggia and menorrhaggia. 32% of patients who were studied had thyroid dysfunction, of which 18% of patients had subclinical hypothyroidism, 11% of patients had hypothyroidism and only 3% of patients had hyperthyroidism.Conclusions: Present study concludes that thyroid dysfunction should be considered as an important etiological factor for menstrual abnormality especially during fertile period

Formulation and Evaluation of Bilayer Tablet by Wet Granulation

ABSTRACT: The objective of this present study was to design bilayer tablet of two different drugs for separate release, evaluation of the same and comparison dry granulation formulation with minor changes in components. Both layer of bilayer tablets comprised control release. In wet granulation different type and amount of polymer were used for each layer. The formulated bilayer tablets were evaluated for pre compression as well as post compression parameters including invitro_dissolution_study were carried out. The results showed that wet granulation of formulated bilayer tablet carried out with different polymers viz. Gum acacia, Guar gum, Acrypol -971, HPMC_ K100M, eudragit_RSPO was carried out and based on its release retarding properties. Based on drug release and release kinetics study final formulation was selected that was further analysed for stability study. The accelerated stability study for 6 month showed affirmative result

Deliberate Practice in Simulation-Based Surgical Skills Training: A Scoping Review

BackgroundIn recent years there has been a shift from traditional Halstedian methods towards more simulation-based medical education (SBME) for developing surgical skills. Questions remain about the role and value of SBME, although feedback and engagement in repetitive practice have been associated with positive learning outcomes. Regardless of approach, the principles of deliberate practice align with both the Halstedian traditions and ways of implementing SBME. Whilst deliberate practice is well described in the wider literature, the extent to which it is an effective instructional approach in surgical training remains unknown.ObjectiveTo explore the effectiveness of deliberate practice as an instructional design for developing surgical skills through SBME interventions, as assessed by improvements in trainee performance and/or patient outcomes.MethodsA combined search was conducted in PUBMED, CINAHL, EMBASE, MEDLINE, PSYCHINFO and Google Scholar. 301 articles were screened and 17 met the inclusion criteria for analysis.ResultsThere was heterogeneity of study methods with six randomised control trials, seven pre-test/post-test design, two non-randomised comparisons and two observational studies. All articles demonstrated positive learner outcomes following SBME with deliberate practice, although there was no direct comparison to another instructional method. Two studies demonstrated skill transfer to the clinical environment and one demonstrated improved patient outcomes. ConclusionDeliberate practice informed SBME interventions appeared effective for developing surgical skills among trainee surgeons, however the reliability of these conclusions was limited by the modest quality of the research studies and the design elements of deliberate practice were inconsistently applied. There was little evidence that deliberate practice leads to skills retention beyond 30 days, although participant numbers were low and the quality of studies was modest

Integrated management of Ramularia blight (Ramularia foeniculi ) in fennel

Ramularia blight, caused by Ramularia foeniculi Sybille’s a highly destructive fennel disease and may cause complete failure of the crop. The use of chemicals especially mancozeb to manage Ramularia blight increases the load of residues in seed and reduces the export and market price. Removal of lower yellow leaves would not only help in reducing the load of Ramularia pathogen but, also increase the aeration in fennel crop. To manage this disease, field trial was conducted for three consecutive kharif seasons (2017-18, 2018-19 & 2019-20) with agronomical practices i.e. removal of lower yellow leaves at different stages and different spraying schedules of chlorothalonil 75WP. Removal of lower yellow leaves at 50 % flowering stage and grain filling stage with two sprays of chlorothalonil 75WP @ 0.15% (20 g/ 10 lit. water) first spray at just appearance of disease and second spray at15 days after first spray was found effective not only in terms of management of disease (10.91 % disease incidence), yield (2078 kg/ha) and quality aspects but also reduced the load of fungicide on seed which promote the export. Thus, limited use (2 sprays) of chlorothalonil with the removal of lower yellow leaves helps to meet out the quality standards for export promotion with respect to residual limits in the said commodity

Formulation optimization of floating microbeads containing modified Chinese yam starch using factorial design

Controlled release floating metformin hydrochloride microbeads were prepared and optimized using a blend of varying concentrations of freeze-dried pregelatinized Chinese yam starch (Dioscorea oppositifolia L) and sodium alginate. Floating microbeads were prepared by the ionotropic gelation method using 10% w/v calcium chloride as the cross-linking agent and sodium bicarbonate as the gas releasing agent. A full 32 factorial design was used to investigate the influence of two variables: concentrations of starch (X1) and sodium bicarbonate (X2) on the swelling, floating lag time and amount of drug released after 1 hour (Q1) and 10 hours (Q10). Potential variables such as the concentrations of drug and total polymer were kept constant. The results showed that the properties of the floating microbeads were significantly (p<0.01) affected by the concentration of the modified Chinese yam starch. Buoyancy and drug release appeared to be facilitated by increased concentrations of both starch and sodium bicarbonate in the formulation. The results also show that an optimized formulation of metformin hydrochloride could be obtained with the potential for gastroretentive controlled drug delivery using a blend of freeze-dried pregelatinized Chinese yam starch and sodium alginate

Assessment of Surgical Procedural Time, Pedicle Screw Accuracy, and Clinician Radiation Exposure of a Novel Robotic Navigation System Compared With Conventional Open and Percutaneous Freehand Techniques: A Cadaveric Investigation

STUDY DESIGN: Cadaveric study. OBJECTIVE: To evaluate accuracy, radiation exposure, and surgical time of a new robotic-assisted navigation (RAN) platform compared with freehand techniques in conventional open and percutaneous procedures. METHODS: Ten board-certified surgeons inserted 16 pedicle screws at T10-L5 (n = 40 per technique) in 10 human cadaveric torsos. Pedicle screws were inserted with (1) conventional MIS technique (L2-L5, patient left pedicles), (2) MIS RAN (L2-L5, patient right pedicles), (3) conventional open technique (T10-L1, patient left pedicles), and (4) open RAN (T10-L1, patient right pedicles). Output included (1) operative time, (2) number of fluoroscopic images, and (3) screw accuracy. RESULTS: In the MIS group, compared with the freehand technique, RAN allowed for use of larger screws (diameter: 6.6 ± 0.6 mm vs 6.3 ± 0.5 mm; length: 50.3 ± 4.1 mm vs 46.9 ± 3.5 mm), decreased the number of breaches \u3e2 mm (0 vs 7), fewer fluoroscopic images (0 ± 0 vs 108.3 ± 30.9), and surgical procedure time per screw (3.6 ± 0.4 minutes vs 7.6 ± 2.0 minutes) (all CONCLUSION: RAN significantly improved accuracy and decreased radiation exposure in comparison to freehand techniques in both conventional open and percutaneous surgical procedures in cadavers. RAN significantly increased setup time compared with both conventional procedures

A Distinct Metabolite Signature in Military Personnel Exposed to Repetitive Low-Level Blasts

Military Breachers and Range Staff (MBRS) are subjected to repeated sub-concussive blasts, and they often report symptoms that are consistent with a mild traumatic brain injury (mTBI). Biomarkers of blast injury would potentially aid blast injury diagnosis, surveillance and avoidance. Our objective was to identify plasma metabolite biomarkers in military personnel that were exposed to repeated low-level or sub-concussive blast overpressure. A total of 37 military members were enrolled (18 MBRS and 19 controls), with MBRS having participated in 8–20 breaching courses per year, with a maximum exposure of 6 blasts per day. The two cohorts were similar except that the number of blast exposures were significantly higher in the MBRS, and the MBRS cohort suffered significantly more post-concussive symptoms and poorer health on assessment. Metabolomics profiling demonstrated significant differences between groups with 74% MBRS classification accuracy (CA). Feature reduction identified 6 metabolites that resulted in a MBRS CA of 98%, and included acetic acid (23.7%), formate (22.6%), creatine (14.8%), acetone (14.2%), methanol (12,7%), and glutamic acid (12.0%). All 6 metabolites were examined with individual receiver operating characteristic (ROC) curve analyses and demonstrated areas-under-the-curve (AUCs) of 0.82–0.91 (P ≤ 0.001) for MBRS status. Several parsimonious combinations of three metabolites increased accuracy of ROC curve analyses to AUCs of 1.00 (P \u3c 0.001), while a combination of volatile organic compounds (VOCs; acetic acid, acetone and methanol) yielded an AUC of 0.98 (P \u3c 0.001). Candidate biomarkers for chronic blast exposure were identified, and if validated in a larger cohort, may aid surveillance and care of military personnel. Future point-of-care screening could be developed that measures VOCs from breath, with definitive diagnoses confirmed with plasma metabolomics profiling