An In-depth Review on Argemone mexicana in the Management of Liver Health and Liver Cancer.

INTRODUCTION: Argemone mexicana, commonly known as the Mexican prickly poppy, has been historically employed in traditional medicine for various ailments, including liver disorders. Given the rising prevalence of liver diseases, including cancer, investigating the potential efficacy of Argemone mexicana in promoting liver health is of paramount importance. This review aims to provide a comprehensive analysis of the existing literature on the hepatoprotective and anticancer properties of Argemone mexicana. METHODOLOGY: A systematic literature search was conducted across PubMed, Google Scholar, and relevant botanical and pharmacological databases. Studies from various sources, including in vitro experiments, animal models, and clinical trials, were included in the review. The search focused on articles published up to 2010-2023, encompassing research that explored the botanical characteristics, chemical composition, traditional uses, and pharmacological properties of Argemone mexicana, specifically emphasizing its impact on liver health and cancer. RESULTS: The review revealed a wealth of studies highlighting the diverse pharmacological properties of Argemone mexicana. The botanical composition includes compounds with antioxidant and anti-inflammatory potential, suggesting hepatoprotective effects. Studies using in vitro and in vivo models demonstrated promising outcomes regarding liver function improvement and inhibition of liver cancer cell proliferation. While some clinical studies supported the traditional uses of Argemone mexicana, further well-designed trials are warranted to establish its clinical efficacy. CONCLUSION: In conclusion, Argemone mexicana shows promise as a natural agent for promoting liver health and combating liver cancer. Bioactive compounds with antioxidant and anti-inflammatory properties suggest potential hepatoprotective effects. However, translating these findings into clinical practice requires further rigorous investigation, including well-designed clinical trials. This review provides a foundation for future research efforts aimed at elucidating the full therapeutic potential of Argemone mexicana in liver health and cancer management.

Overcoming Challenges of Incorporation of Biobased Dibutyl Itaconate in (Meth)acrylic Waterborne Polymers.

Polymeric derivatives of itaconic acid are gaining interest as biobased alternatives to petroleum-based monomers due to their versatility, renewable nature, commercial availability, and cost-effectiveness. Itaconate ester monomer's challenges incorporating in (meth)acrylic waterborne polymers are the low propagation rate, unfavorable reactivity ratios, and the depropagation process. To overcome these challenges, the seeded semibatch emulsion polymerization of 100% biobased dibutyl itaconate, methyl methacrylate, and butyl acrylate was investigated at different temperatures. Consequently, 30 wt % DBI was successfully incorporated within waterborne (meth)acrylates in short reaction times (4 h), obtaining high DBI incorporation (>90%). The results demonstrate that DBI incorporation influences the instantaneous monomer conversion, polymer's microstructure, and mechanical properties. By incorporating a biobased itaconate cross-linker, kinetics and mechanical characteristics of the polymers were improved. This combined approach can be implemented without altering industrial processes, resolving the commercialization dilemma for itaconate monomers to synthesize high-performance biobased polymers for adhesive and coating industries.

Improving photovoltaic cell parameter calculations through a puffer fish inspired optimization technique.

The precise estimation of solar PV cell parameters has become increasingly important as solar energy deployment expands. Due to the intricate and nonlinear characteristics of solar PV cells, meta-heuristic algorithms show greater promise than traditional ones for parameter estimation. This study utilizes the Puffer Fish (PF) meta-heuristic optimization method, inspired by male puffer fish's circular structures, to estimate parameters of a modified four-diode PV cell. The PF algorithm's performance is assessed against ten benchmark test functions, with results presented as mean and standard deviation for validation. Comparative analysis with Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Rat Search Algorithm (RAT), Heap Based Optimizer (HBO), and Cuckoo Search (CS) algorithms highlights PF's superior performance, achieving optimal solutions with minimal error of 7.8947E-08. Statistical tests, including Friedman Ranking (1st) and Wilcoxon's rank sum (3.8108E-07), confirm PF's superiority. The circular structures of male puffer fish serve as an effective model for optimization algorithms, enhancing parameter estimation. Benchmark tests and statistical analysis consistently underscore PF's superiority over other meta-heuristic algorithms. Future research should explore PF's potential applications in solar energy and beyond.

Female sexual dysfunction-knowledge, attitude, practices, and barriers encountered by medical fraternity across the country: A web-based cross-sectional study.

Introduction: Sexual dysfunction in women is common yet often remains underdiagnosed due to the lack of adequate training and experience of the doctors to manage female sexual dysfunctions. This study was done to assess the knowledge and attitude of medical professionals toward female sexual dysfunction and the various practices and barriers they encounter while managing women with sexual dysfunction. Materials and Methods: A web-based cross-sectional study was done using the snowball sampling method. A well-structured, self-administered, and pre-validated questionnaire containing 27 items was administered through social media. Data was collected and evaluated to assess their knowledge, practices they follow, and barriers encountered while managing female sexual dysfunction. Results: A total of 513 doctors participated in the study. Out of all, only 11.1% of the doctors were often seeing patients with sexual dysfunction. Loss of desire (44%), painful intercourse (33%), lack of lubrication (18%), and anorgasmia (5%) are common symptoms with which women present. The majority of doctors (78.9%) were comfortable in starting a conversation, over half (52.6%) were confident in making a diagnosis, and 51.3% were confident in providing sexual counseling. Yet, only 11.1% were routinely screening women for sexual dysfunctions, and 33.8% were providing counseling regarding sexual issues. Lack of time (31.6%), lack of adequate training (57.3%), unavailability of effective treatment (11.9%), patient discomfort (60.62%), and patient's reluctance to seek treatment (15.8%) were the barriers encountered by doctors. When assessed for knowledge, around 30.9% had excellent knowledge (≥75th percentile) about female sexual dysfunction. Conclusion: Sexual dysfunction among women is an important health issue that significantly affects the social, mental, and physical well-being of those suffering from it. Screening for sexual dysfunction should be done routinely in day-to-day clinical practice to improve the overall quality of life of a couple.

Vaccine Designing Technology against Leishmaniasis: Current Challenges and Implication.

Leishmaniasis, a debilitating disease caused by protozoan parasites of the genus Leishmania and transmitted by the bite of a female sandfly, continues to present significant challenges despite ongoing research and collaboration in vaccine development. The intricate interaction between the parasite's life cycle stages and the host's immunological response, namely the promastigote and amastigote forms, adds complexity to vaccine design. The quest for a potent vaccine against Leishmaniasis demands a comprehensive understanding of the immune mechanisms that confer long-lasting protection, which necessitates extensive research efforts. In this pursuit, innovative approaches such as reverse vaccinology and computer-aided design offer promising avenues for unraveling the intricacies of host-pathogen interactions and identifying effective vaccine candidates. However, numerous obstacles, including limited treatment options, the need for sustained antigenic presence, and the prevalence of co-infections, particularly with HIV, impede progress. Nevertheless, through persistent research endeavours and collaborative initiatives, the goal of developing a highly efficacious vaccine against Leishmaniasis can be achieved, offering hope through the latest Omics data development with immunoinformatics approaches for effective vaccine design for the prevention of this disease.

A modified particle swarm optimization rat search algorithm and its engineering application.

Solar energy generation requires photovoltaic (PV) systems to be optimised, regulated, and simulated with efficiency. The performance of PV systems is greatly impacted by the fluctuation and occasionally restricted accessibility of model parameters, which makes it difficult to identify these characteristics over time. To extract the features of solar modules and build highly accurate models for PV system modelling, control, and optimisation, current-voltage data collecting is essential. To overcome these difficulties, the modified particle swarm optimization rat search algorithm is presented in this manuscript. The modified rat search algorithm is incorporated to increase the PSO algorithm's accuracy and efficiency, which leads to better outcomes. The RSA mechanism increases both the population's diversity and the quality of exploration. For triple diode model of both monocrystalline and polycrystalline, PSORSA has showed exceptional performance in comparison to other algorithm i.e. RMSE for monocrystalline is 3.21E-11 and for polycrystalline is 1.86E-11. Similar performance can be observed from the PSORSA for four diode model i.e. RMSE for monocrystalline is 4.14E-09 and for polycrystalline is 4.72E-09. The findings show that PSORSA outperforms the most advanced techniques in terms of output, accuracy, and dependability. As a result, PSORSA proves to be a trustworthy instrument for assessing solar cell and PV module data.

Prevalence and Severity of Periodontal Disease and its Association with Type-II Diabetes Mellitus and Smoking by Using Periodontal Screening and Recording: A Retrospective Study.

Background: Periodontal screening recording (PSR) is considered a quick, reliable, reproducible valuable screening tool for periodontal disease. This study aims to find the prevalence and severity of periodontal disease and its association with self-reported diabetic status and smoking history of the patients by using PSR codes over a period of 2 years. Material and Methods: This was a cross-sectional retrospective study in a dental hospital in Chandigarh. Data of 10,882 patients comprising self-reported history of smoking (893) and diabetes (725) patients were assessed for the prevalence of periodontal disease by using PSR codes. Pearson Chi-Square test was used for statistical evaluation of PSR codes data. Results: Out of a total of 65,292 sextants assessed, the maximum and minimum reported PSR codes were 2 and 4, respectively. Gingivitis was found to be the most prevalent, followed by periodontitis and periodontal health in the total assessed population (P < 0.001). Mucogingival problems and complete edentulism were found to be more prevalent in posterior sextants in comparison to anterior sextants. Both self-reported smokers and type-II diabetes mellitus patients presented gingivitis as the most common clinical presentation, with the highest prevalence seen in the 55-74-year age group, which also comprised the group with maximum mucogingival problems and edentulism. Conclusion: This study gives an overview of patients' general oral health status and reflects the burden of periodontal disease in the Chandigarh region, thus contributing to the national oral health data.

Developmental trajectory of cortical somatostatin interneuron function.

GABAergic inhibition is critical to the proper development of neocortical circuits. However, GABAergic interneurons are highly diverse and the developmental roles of distinct inhibitory subpopulations remain largely unclear. Dendrite-targeting, somatostatin-expressing interneurons (SST-INs) in the mature cortex regulate synaptic integration and plasticity in excitatory pyramidal neurons (PNs) and exhibit unique feature selectivity. Relatively little is known about early postnatal SST-IN activity or impact on surrounding local circuits. We examined juvenile SST-INs and PNs in mouse primary visual cortex. PNs exhibited stable visual responses and feature selectivity from eye opening onwards. In contrast, SST-INs developed visual responses and feature selectivity during the third postnatal week in parallel with a rapid increase in excitatory synaptic innervation. SST-INs largely exerted a multiplicative effect on nearby PN visual responses at all ages, but this impact increased over time. Our results identify a developmental window for the emergence of an inhibitory circuit mechanism for normalization.

Modulation of Phase Behavior and Microscopic Dynamics in Cationic Vesicles by 1-Decyl-3-methylimidazolium Bromide.

Synthetic cationic lipids have garnered significant attention as promising candidates for gene/DNA transfection in therapeutic applications. The phase behavior of the vesicles formed by these lipids is intriguing, revealing intricate connections to the structure and dynamics of the membrane. These phenomena emerge from the complex interplay between hydrophobic and electrostatic interactions of the lipids. In this study, we explore the impact of an ionic liquid-based surfactant, 1-decyl-3-methylimidazolium bromide (DMIM[Br]), on the structural, dynamical, and phase behavior of cationic dihexadecyldimethylammonium bromide (DHDAB) vesicles. Our investigations indicate that the addition of DMIM[Br] increases the vesicle size while thinning the membrane. Further, DMIM[Br] also induces substantial changes in the membrane phase behavior. At 10 and 25 mol %, DMIM[Br] eliminates the pre-transition from coagel to intermediate crystalline (IC) phase and decreases the onset temperature of the main phase transition to the fluid phase. In the cooling cycle, the addition of DMIM[Br] further induces the formation of an intermediate gel phase. This behavior is reminiscent of the non-synchronous ordering observed in the DODAB membrane, a longer-chain counterpart of DHDAB. Interestingly, at 40 mol % of DMIM[Br], the formation of the intermediate gel phase is largely suppressed. Neutron scattering data provide evidence that the addition of DMIM[Br] enhances lipid mobility in coagel and fluid phases, suggesting that DMIM[Br] acts as a plasticizer, enhancing membrane fluidity across all of the phases. Our findings infer that DMIM[Br] modulates the membrane's phase behavior and fluidity, two essential ingredients for the efficient transport of cargo, by controlling the balance of electrostatic and hydrophobic interactions.

Effectiveness of subgingival irrigation and powered toothbrush as home care maintenance protocol in type 2 diabetic patients with active periodontal disease: A 4-month randomized controlled trial.

Background: There is a bidirectional link between diabetes and periodontal disease. Control of active periodontal infection is an essential requisite to maintain optimal oral and systemic health in diabetic patients. The purpose of this study was to evaluate the efficacy of subgingival irrigation and powered toothbrush as home care maintenance protocol in type 2 diabetic patients with active periodontal disease compared to routine oral hygiene. Materials and Methods: Forty (n = 40) diabetic (HbA1c >7%) patients were enrolled in this parallel, examiner-blind, interventional clinical trial. Patients were randomized into two groups: Group A (sonic toothbrush and irrigation with water twice daily) or Group B (manual toothbrush and mouth rinsing with 0.12% Chlorhexidine gluconate (CHX) twice daily)). All patients received Phase I therapybefore the start of the study. Clinical parameters (plaque index [PI], gingival index [GI], oral hygiene index [OHI], pocket depth [PD], clinical attachment level [CAL], and bleeding index [BI]) were assessed at baseline, 1, 2, and 4 months. Levels of C-reactive protein (CRP), HbA1c, and interleukin (IL)-1 ß were assessed at baseline and 4 months only. Verbal and written instructions were provided to each subject specific to their intervention allocation. Descriptive, parametric, and nonparametric analyses were used where appropriate. Results: Sixteen (n = 16) patients in Group A and fifteen (n = 15) patients in Group B completed the 4-month study. Both groups showed a significant difference in BI, PD, CAL, and HbA1c from baseline to 4 months. There were no differences within groups for OHI, GI, or PI and CRP, IL-1 ß. The results are based on an underpowered study due to the drop out of 9 patients reducing the number below the needed 19 patients per group based on the power analysis. Conclusion: Results from this study provide information for future studies on self-care regimens for individuals living with Type 2 diabetes.

Internal carotid artery agenesis presenting with ruptured Acom aneurysm: Rare case report.

Developmental anomalies of internal carotid artery (ICA), being rare entities, are mostly asymptomatic by themselves because of good collateral supply. However, when present with other associated intracranial anomalies requiring treatment, there can be catastrophic consequences, if special attention is not paid to this condition. We present a case of 36 years old male, who reported to our emergency department with complaints of headache and loss of consciousness. He was diagnosed as a case of ruptured anterior communicating aneurysm with subarachnoid hemorrhage and agenesis of left ICA with trans-cavernous anastomosis. He underwent clipping of aneurysm and was discharged uneventfully. This report highlights the importance of skillful microsurgical clipping in extremely high-risk conditions, in contemporary era of hybrid neurosurgeons.

Plakophilin-3 Binds the Membrane and Filamentous Actin without Bundling F-Actin.

Plakophilin-3 is a ubiquitously expressed protein found widely in epithelial cells and is a critical component of desmosomes. The plakophilin-3 carboxy-terminal domain harbors nine armadillo repeat motifs with largely unknown functions. Here, we report the 5 Å cryogenic electron microscopy (cryoEM) structure of the armadillo repeat motif domain of plakophilin-3, one of the smaller cryoEM structures reported to date. We find that this domain is a monomer or homodimer in solution. In addition, using an in vitro actin co-sedimentation assay, we show that the armadillo repeat domain of plakophilin-3 directly interacts with F-actin. This feature, through direct interactions with actin filaments, could be responsible for the observed association of extra-desmosomal plakophilin-3 with the actin cytoskeleton directly attached to the adherens junctions in A431 epithelial cells. Further, we demonstrate, through lipid binding analyses, that plakophilin-3 can effectively be recruited to the plasma membrane through phosphatidylinositol-4,5-bisphosphate-mediated interactions. Collectively, we report on novel properties of plakophilin-3, which may be conserved throughout the plakophilin protein family and may be behind the roles of these proteins in cell-cell adhesion.

Real time sentiment analysis of natural language using multimedia input.

Semantics and Sentiments are parts of our daily speech and expressions that helps to convey the message in the tone intended. The accurate interpretation of emotions and actions is prudent as it expresses the true meaning of the message. This interpretation has been studied extensively in the past two decades, where professionals from various disciplines have pondered this question. Every action and expression-whether it's in a speech, in a video or through some written material-helps the recipient understand the intent behind the message. The primary motive in these studies has been to automate the analysis of these sentiments by teaching the computers to do so, using the audio, video and text-based data that has been collected so far. Machine Learning (ML) and Deep Learning (DL) is the discipline that can help us tackle such a problem which requires analysis and recognition of copious amounts of data. Classification based on these multi-media inputs has seen the application of several common and uncommon ML techniques such as Support Vector Machines (SVMs), Bayesian Networks (BNs), Decision Trees (DTs), Convolutional Neural Networks (CNNs) and K-Means Clustering. These techniques, to a certain level of accuracy, can classify a certain part of a message into a different emotion. Through this research, firstly, a comparison is represented between the previously conducted studies and secondly, a system is developed of our own that enables Real Time Sentiment Analysis and helps a user assess his/her day-to-day attitude and get appropriate recommendations for the same.

SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight.

The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is related with the COVID-19 pandemic. Recent spike protein variations have had an effect on the transmission of the virus. In addition to ACE-2, spike proteins can employ DC-SIGN and its analogous receptor, DC-SIGNR, for host evasion. Spike variations in the DC-SIGN interaction region and role of DC-SIGN in immune evasion have not been well defined. To understand the spike protein variations and their binding mode, phylogenetic analysis of the complete GISAID (Global Initiative for Sharing Avian Influenza Data) data of the SARS-CoV-2 spike protein was considered. In addition, an in silico knockout network evaluation of the SARS-CoV-2 single-cell transcriptome was conducted to determine the key role of DC-SIGN/R in immunological dysregulation. Within the DC-SIGN-interacting region of the SARS-CoV spike protein, the spike protein of SARS-CoV-2 displayed remarkable similarity to the SARS-CoV spike protein. Surprisingly, the phylogenetic analysis revealed that the SARS-CoV-2's spike exhibited significantly diverse variants in the DC-SIGN interaction domain, which altered the frequency of these variants. The variation within the DC-SIGN-interacting domain of spike proteins affected the binding of a limited number of variants with DC-SIGN and DC-SIGNR and affected their evolution. MMGBSA binding free energies evaluation differed for variants from those of the wild type, suggesting the influence of substitution mutations on the interaction pattern. In silico knockout network analysis of the single-cell transcriptome of Bronchoalveolar Lavage and peripheral blood mononuclear cells revealed that SARS-CoV-2 altered DC-SIGN/R signaling. Early surveillance of diverse SARS-CoV-2 strains could preclude a worsening of the pandemic and facilitate the development of an optimum vaccine against variations. The spike Receptor Binding Domain genetic variants are thought to boost SARS CoV-2 immune evasion, resulting in its higher longevity. Supplementary Information: The online version contains supplementary material available at 10.1007/s13337-023-00820-3.

Is periodontal infection a risk factor for thromboembolic disease? A systematic review.

Background: Venous thromboembolism (VTE) is a rising major health problem comprising pulmonary embolism (PE) and deep vein thrombosis. It is of concern due to premature mortality, increased morbidity, and associated healthcare costs and hospitalization. Periodontitis can increase the risk of VTE by way of systemic inflammation induced by infection that can contribute to hypercoagulability and platelet aggregation. This systematic review aims to synthesize all the evidence concerning periodontal infection as a risk factor for thromboembolic disease. Materials and Methods: A search for articles published from 1967 till December 2020 was conducted in the PubMed (MEDLINE), Scopus, and EMBASE data bases. Results: Five hundred and five articles were retrieved after running search strategies in PubMed, Scopus, and EMBASE search databases. Based on the inclusion criteria, three clinical studies, two case series, and ten case reports were included for qualitative analysis. The presence of periodontal disease was reported to influence the occurrence of venous thromboembolic disease with a statistical significance of <0.010. Case series and case reports of septic PE due to periodontal disease showed complete resolution of lung lesions and subsiding of symptoms after dental treatment and antimicrobial therapy. Conclusions: The results of this systematic review suggested for an association between periodontal disease and the incidence of thromboembolic disease. As most of the included/available studies are case series and case reports, the strength of evidence is weak. Evidence generated from well-designed longitudinal controlled clinical trials may be helpful to further assess the strength of the association.

Knowledge, attitude, and practices of healthcare providers about perinatal depression in Himachal Pradesh-A cross-sectional study.

Introduction: Perinatal depression is defined as depression occurring in a woman during pregnancy or within 12 months of delivery. It has been associated with many poor outcomes, including maternal, child, and family unit challenges. This study aimed to assess the knowledge, attitude, and practices of obstetricians and primary healthcare professionals so that the knowledge gap could be assessed and they could be educated regarding the screening and treatment/referral of patients with peripartum depression. Methods: The study used a cross-sectional study design with convenience sampling. The data were collected through an online survey among healthcare providers using the Google Forms application. Submission of filled questionnaire implied consent for participation. Ethical approval for the study was obtained from the institutional ethics committee. The results were reported as mean and percentages. All data were analysed using Excel software 2019. Results: A total of 53 doctors responded to participate in the study. More than 98% of them were aware of an entity called perinatal depression. Around 89% of the participants do not screen patients for the perinatal period routinely using a screening questionnaire. About 90% of participants agreed with the need for screening for perinatal depression. Less than 50% of participants had heard about the screening questionnaire for the same. Around 89% agreed that all health professionals should have skills in recognising and managing depression. Conclusion: There is a need to educate healthcare workers including obstetricians about screening for perinatal depression, thus improving the quality of life of perinatal women and preventing complications due to untreated depression.

Forming new connections: Advances in human stem-cell-derived interneuron therapy for treating epilepsy.

Inhibitory interneuron progenitors capable of integrating into epileptic host circuitry hold great potential for correcting network hyperexcitability and reducing seizures in temporal lobe epilepsy. In this issue of Neuron, Zhu and colleagues1 report robust seizure suppression by hPSC-derived interneurons up to 9 months post-transplantation, significantly extending the duration observed previously.

Dopamine transporter and synaptic vesicle sorting defects underlie auxilin-associated Parkinson's disease.

Auxilin participates in the uncoating of clathrin-coated vesicles (CCVs), thereby facilitating synaptic vesicle (SV) regeneration at presynaptic sites. Auxilin (DNAJC6/PARK19) loss-of-function mutations cause early-onset Parkinson's disease (PD). Here, we utilized auxilin knockout (KO) mice to elucidate the mechanisms through which auxilin deficiency and clathrin-uncoating deficits lead to PD. Auxilin KO mice display cardinal features of PD, including progressive motor deficits, α-synuclein pathology, nigral dopaminergic loss, and neuroinflammation. Significantly, treatment with L-DOPA ameliorated motor deficits. Unbiased proteomic and neurochemical analyses of auxilin KO brains indicated dopamine dyshomeostasis. We validated these findings by demonstrating slower dopamine reuptake kinetics in vivo, an effect associated with dopamine transporter misrouting into axonal membrane deformities in the dorsal striatum. Defective SV protein sorting and elevated synaptic autophagy also contribute to ineffective dopamine sequestration and compartmentalization, ultimately leading to neurodegeneration. This study provides insights into how presynaptic endocytosis deficits lead to dopaminergic vulnerability and pathogenesis of PD.

Sustainable development of fuel cell using enhanced weighted mean of vectors algorithm.

Using the mathematical model of a Direct Methanol Fuel Cell (DMFC) stack, a new optimum approach is presented for estimating the seven unknown parameters i.e., ( e o , α , R , j e i d , C 1 , ß ,req) optimally. Specifically, a method is proposed for minimization of the Sum of Squared Errors (SSE) associated with the estimated polarization profile, based on the experimental data from simulations. The Enhanced Weighted mean of vectors (EINFO) algorithm is a novel metaheuristic method that is proposed to achieve this goal. An analysis of the results of this method is then compared to various metaheuristic algorithms such as the Particle Swarm Optimization (PSO), Sine Cosine Algorithm (SCA), Dragonfly Algorithm (DA), Atom Search Optimization (ASO), and Weighted mean of vectors (INFO) well known in literature. As a final step to confirm the proposed approach's effectiveness, the sensitivity analysis is carried out using temperature changes, along with comparison against different approaches described in the literature to demonstrate its superiority. After comparison of parameter estimation and different operating temperature a non-parametric test is also performed and compared with the rest of the metaheuristic algorithms used in the manuscript. From these tests it is concluded that the proposed algorithm is superior to the rest of the compared algorithms.