Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

The COVID-19 is one of the most significant obstacles that humanity is now facing. The use of computed tomography (CT) images is one method that can be utilized to recognize COVID-19 in early stage. In this study, an upgraded variant of Moth flame optimization algorithm (Es-MFO) is presented by considering a nonlinear self-adaptive parameter and a mathematical principle based on the Fibonacci approach method to achieve a higher level of accuracy in the classification of COVID-19 CT images. The proposed Es-MFO algorithm is evaluated using nineteen different basic benchmark functions, thirty and fifty dimensional IEEE CEC'2017 test functions, and compared the proficiency with a variety of other fundamental optimization techniques as well as MFO variants. Moreover, the suggested Es-MFO algorithm's robustness and durability has been evaluated with tests including the Friedman rank test and the Wilcoxon rank test, as well as a convergence analysis and a diversity analysis. Furthermore, the proposed Es-MFO algorithm resolves three CEC2020 engineering design problems to examine the problem-solving ability of the proposed method. The proposed Es-MFO algorithm is then used to solve the COVID-19 CT image segmentation problem using multi-level thresholding with the help of Otsu's method. Comparison results of the suggested Es-MFO with basic and MFO variants proved the superiority of the newly developed algorithm.

Trends in rifampicin and isoniazid resistance in patients with presumptive TB

BACKGROUND: Early diagnosis of drug-resistant TB (DR-TB) is crucial in preventing the spread of the disease in the community. Introduction of upfront decentralised drug susceptibility testing to district-level as part of universal drug susceptibility testing (UDST) policy increased the feasibility of rapid and early testing for drug resistance closer to the patient and has resulted in reduced circumstances for transmission. The introduction of the first-line line-probe assay (FL-LPA), GenoType^® MTBDRplus v2, has had an extensive impact on the management of multidrug-resistant TB (MDR-TB) in India.MATERIALS and METHODS: Sputum samples of patients with presumptive TB and DR-TB from selected districts of Tamil Nadu received through National TB Elimination Programme (NTEP) were subjected to FL-LPA as per programme guidelines. In this study, we present trends in genotypic resistance to isoniazid (INH) and rifampicin (RIF) during the 4 years (2016-2019) among these patients. Band patterns were analysed as per the updated GLI (Global Laboratory Initiative) LPA interpretation and reporting guidelines.RESULTS: A total of 26,349 samples were received during the study period. Smear-positive samples (n = 20231) were directly subjected to FL-LPA; smear-negative samples were cultured in liquid media and M. tuberculosis-positive cultures were tested using FL-LPA. A total of 18,441 were MTB-positive on FL-LPA. INH monoresistance, RIF monoresistance and MDR-TB was observed in respectively 8.7%, 1.1% and 3.3% of the samples. There was a decreasing trend in all types of resistance observed particularly after 2017 (P < 0.001). MDR-TB showed a steady decrease from 5.6% to 1.8%. S531L (19.5%) and S315T (61.1%) were the most common mutations identified in the rpoB and katG genes, respectively. The percentage of inhA-c-15t promoter mutation, indicating low-level INH resistance, showed a consistent increase (P < 0.001).CONCLUSION: The impact of the UDST policy on the NTEP may have led to this decreasing trend in RIF and INH resistance observed in the study period. The increase in low-level INH resistance mutation inhA-c-15t may be associated with ethionamide/prothionamide resistance, and this should be taken into account when designing DR-TB regimen.

Enhanced chaotic JAYA algorithm for parameter estimation of photovoltaic cell/modules

Parameters for defining photovoltaic models using measured voltage-current​ characteristics are essential for simulation, control, and evaluation of photovoltaic-based systems. This paper proposes an enhanced chaotic JAYA algorithm to classify the parameters of various photovoltaic models, such as the single-diode and double-diode models, accurately and reliably. The proposed algorithm introduces a self-adaptive weight to regulate the trend to reach the optimal solution and avoid the worst solution in various phases of the search space. The self-adaptive weight capability also allows the proposed technique to reach the best solution at the earliest phase, and later, the local search process starts, which also increase the ability to explore. A three different chaotic process, including sine, logistics and tent map, is proposed to optimize the consistency of each generation's best solution. The proposed algorithm and its variants proposed are used to solve the parameter estimation problem of various PV models. To show the proficiency of the suggested algorithm and its variants, an extensive simulation is carried out using MATLAB/Simulink software. Two statistical tests are conducted and compared with the latest techniques for validating the performance of the suggested algorithm and its variants. Comprehensive analysis and experimental results display that the suggested algorithm can achieve highly competitive efficiency in terms of accuracy and reliability compared to other algorithms in the literature. This research will be backed up with extra online service and guidance for the paper's source code at https://premkumarmanoharan.wixsite.com/mysite.

A dataset of the study on design parameters for the solar photovoltaic charge controller

This set of data is being used to calculate the design parameters of the solar photovoltaic (PV) charge controller. The data presented in this paper are used to design an advanced charge control with higher capacity and more possible real-time applications. This design parameters of the controller will be useful for the off-grid systems, automatic street light, and signs control, etc., which requires the medium-level power, and more reliable operation. The design set of parameters such as inductance, switching frequency, duty cycle, power loss, and the efficiency are given in this paper for the rating of the 500 W charge controller. The data captured are compared with the various power level selection along with the different power semiconductor switches.

Microvesicles in hepatic and peripheral vein can predict nonresponse to corticosteroid therapy in severe alcoholic hepatitis

BACKGROUND

Severe alcoholic hepatitis patients have high mortality and limited response to corticosteroids. Microvesicles reflect cellular stress and disease conditions.

AIMS

To investigate whether microvesicles are associated with severity, response to steroid therapy and inflammation in severe alcoholic hepatitis.

METHODS

Microvesicles originating from different cells were studied pre-therapy in 101 patients; (71 responder to corticosteroid therapy and 30 nonresponders) and 20 healthy controls. Microvesicles and cells were determined in peripheral and hepatic vein samples using flow cytometry and correlated with outcomes. Inflammatory signalling pathways and functional alterations of immune cells after stimulation with microvesicles were also investigated.

RESULTS

Microvesicles mean levels were higher in nonresponders for T cells (CD3⁺ CD4⁺ ; 10.1 MV/μL vs 5.4; P = 0.06), macrophages (CD68⁺ CD11b⁺ ; 136.5 vs 121.9 MV/μL; P = 0.01), haematopoietic stem-cells (CD45⁺ CD34⁺ ; 116.8 vs 13.4 MV/μL; P = 0.0001) and hepatocytes (ASGPR⁺ ; 470 vs 361 MV/μL; P = 0.01); the latter two predicting steroid nonresponse in 94% patients at baseline in peripheral plasma. Microvesicle levels correlated with histological and liver disease severity indices. Whereas, in non-responders hepatic vein CD34+ cells were lower (P = 0.02), the CD34+ microvesicles there from were higher (P = 0.04), thus suggesting impaired regeneration. Also, microvesicles of 0.2-0.4 μm size were higher in nonresponders (P < 0.03) at baseline. Microvesicles from patients trigger more (P = 0.04) ROS generation, TNF-α production (P = 0.04) and up-regulate pro-inflammatory cytokine related genes in neutrophils in vitro.

CONCLUSIONS

Pre-therapy peripheral plasma levels of CD34⁺ and ASGPR⁺ microvesicles are reliable non-invasive markers of steroid nonresponse and mortality in patients with severe alcoholic hepatitis.

Avascular osteonecrosis of femoral head in a postoperative patient of pituitary Cushing's disease

We describe a rare association of Cushing's disease causing avascular osteonecrosis of the femoral head in a patient with operated pituitary macroadenoma. Avascular necrosis of the femoral head (AVN) is not a common cause of musculoskeletal disability. Though AVN of the hip is a well-recognized complication of steroid treatment, it is rare in cases of endogenous hypercortisolism. To our knowledge, only 16 patients with AVN, associated with endogenous Cushing's syndrome (CS), have been documented in the medical literature. AVN associated with glucocorticoid use is more likely to manifest as bilateral disease than either idiopathic AVN or ethanol-associated AVN. We describe a 26-year-old woman who was diagnosed with Cushing's disease in 2007 and operated in the same year for an ACTH secreting pituitary adenoma, who was consequently given replacement dose steroid therapy for post operative panhypopituitarism. During follow up, she complained of bilateral hip pain and difficulty in ambulation. Magnetic resonance imaging showed multiple bony infarcts in the proximal femur and distal femur with femoral head collapse fractures bilaterally, consistent with AVN. She further underwent decompression surgery on bilateral hip joints. This case illustrates that AVN, an orthopaedic emergency, can be an alarming manifestation of Cushing's disease.

Novel thieno oxazine analogues as antihyperglycemic and lipid modulating agents

A series of phenyl acetic acid and alpha-hydroxy propionic acid derivatives were synthesized. In vivo studies of the compounds indicated compound 2c as the most potent in one of the series, which has both glucose and lipid lowering properties. The syntheses and biological studies have been discussed.

Free leucine dissociates homo- and heterodimers formed between proteins containing leucine heptad repeats

A highly specific method for the dissociation of protein dimers has been developed. The method involves exposure of the dimers to free leucine at a concentration ranging between 3 and 10 mM. Using this method it has been possible to dissociate goat uterine oestrogen receptor homodimers, heterodimers formed between the non-activated oestrogen receptor (naER) and the oestrogen receptor activation factor (E-RAF) of the goat uterus, c-jun homodimers derived from bovine bone marrow and also glucocorticoid receptor homodimers isolated from rat liver cytosol. The pattern of dimer dissociation by leucine clearly differentiates two classes of proteins. The first is represented by steroid hormone receptors where dimerization is apparently contributed by both coiled-coil dimerization interfaces and the conserved heptad repeats of leucine. The second is represented by oncoproteins like c-fos and c-jun which dimerize through the exclusive involvement of leucine zippers. The patterns of dissociation of these two groups of proteins from the concerned affinity columns are distinctly different. This indicates a possibility that the elution pattern may be used as a yardstick to determine whether two proteins dimerize through the exclusive involvement of leucine zippers or whether coiled-coil interfaces are also involved in the dimerization process.

Euglycemic and hypolipidemic activity of PAT5A: a unique thiazolidinedione with weak peroxisome proliferator activated receptor gamma activity

The euglycemic and hypolipidemic activities of PAT5A, a novel pyridine analog of thiazolidinedione, have been evaluated in different animal models. Administration of PAT5A to db/db mice resulted in dose-dependent decreases in plasma glucose, triglyceride, and insulin levels, and an improved glucose tolerance. The glucose-lowering activity of PAT5A was better than that of troglitazone and comparable to that of rosiglitazone. In addition, PAT5A showed better lipid-lowering activity than troglitazone or rosiglitazone. A similar profile was seen in ob/ob mice. In high-fat-fed Sprague Dawley rats, PAT5A treatment reduced plasma triglyceride and total cholesterol levels. An in vitro peroxisome proliferator activated receptor gamma (PPARgamma) transactivation assay in HEK-293 cells showed poor transactivation for PAT5A compared with rosiglitazone. PAT5A did not show any PPARalpha- or PPARdelta-activating properties. Ex vivo study in db/db mice treated with PAT5A showed decreased activity of liver glucose 6-phosphatase, a key enzyme in gluconeogenesis. A 28-day probe toxicity study in Wistar rats did not show any treatment-related alterations in hematologic and biochemical parameters, nor any macroscopic and microscopic changes in the vital organs, whereas rosiglitazone treatment increased liver and heart weights. Our results indicate that PAT5A is a potent insulin sensitizer and hypolipidemic compound with a weak PPARgamma activation potential. Both in vivo and in vitro results suggest that PAT5A improves glucose kinetics and lipid levels through mechanisms not related to PPAR activation.