Human monkeypox disease prediction using novel modified restricted Boltzmann machine-based equilibrium optimizer.

While the globe continues to struggle to recover from the devastation brought on by the COVID-19 virus's extensive distribution, the recent worrying rise in human monkeypox outbreaks in several nations raises the possibility of a novel worldwide pandemic. The symptoms of human monkeypox resemble those of chickenpox and traditional measles, with a few subtle variations like the various kinds of skin blisters. A range of deep learning techniques have demonstrated encouraging results in image-oriented tumor cell, Covid-19 diagnosis, and skin disease prediction tasks. Hence, it becomes necessary to perform the prediction of the new monkeypox disease using deep learning techniques. In this paper, an image-oriented human monkeypox disease prediction is performed with the help of novel deep learning methodology. Initially, the data is gathered from the standard benchmark dataset called Monkeypox Skin Lesion Dataset. From the collected data, the pre-processing is accomplished using image resizing and image normalization as well as data augmentation techniques. These pre-processed images undergo the feature extraction that is performed by the Convolutional Block Attention Module (CBAM) approach. The extracted features undergo the final prediction phase using the Modified Restricted Boltzmann Machine (MRBM), where the parameter tuning in RBM is accomplished by the nature inspired optimization algorithm referred to as Equilibrium Optimizer (EO), with the consideration of error minimization as the major objective function. Simulation findings demonstrate that the proposed model performed better than the remaining models at monkeypox prediction. The proposed MRBM-EO for the suggested human monkeypox disease prediction model in terms of RMSE is 75.68%, 70%, 60.87%, and 43.75% better than PSO-SVM, Xception-CBAM-Dense, ShuffleNet, and RBM respectively. Similarly, the proposed MRBM-EO for the suggested human monkeypox disease prediction model with respect to accuracy is 9.22%, 7.75%, 3.77%, and 10.90% better than PSO-SVM, Xception-CBAM-Dense, ShuffleNet, and RBM respectively.

A Feasibility Study of Diabetic Retinopathy Detection in Type II Diabetic Patients Based on Explainable Artificial Intelligence.

Diabetic retinopathy (DR) is vision impairment and a life-threatening condition for diabetic patients. Especially type II diabetic people have higher chances of getting retinal problems. Hence, early prediction of DR is necessary for preventing the diabetic patients from vision impairment. The main aim of this feasibility study is to identify the most critical risk features that could lead to diabetic retinopathy. This study investigated type II diabetic patients' socio-analytical, diabetes, behavioral, and clinical risk factors. We conducted a self-individual questionnaire session for all participants. Our questionnaire asked about the reliability of results, feeling comfortable during the screening test, willingness to participate in future screenings, overall perspective, and satisfaction with the DR screening test. We proposed a random forest model for predicting the prevalence of DR risk among diabetics. Further explanations of the model were conducted using more robust SHAP eXplainable Artificial Intelligence (XAI) tools. The SHAP method makes it possible to understand how input variables interact with their representative output records, as well as how input variables are ranked. In addition, various descriptive and inferential statistical analyses were performed on the data and evaluated the significant relationship between the factors discussed above via hypothesis testing. This feasibility study involved 172 type II diabetic patients (73 males and 99 females). Therefore, we found that 81 (47.09%) out of 172 participants had referable DR. The average age of the patients was determined as 55.08, with a standard deviation of ± 9.770 (ranging from 40 to 79). Type II patients were affected by mild, moderate, severe, and advanced proliferative diabetic retinopathy (PDR) stages with 23.83%, 13.95%, 5.81%, and 3.48%, respectively, of the total samples. The developed RF model obtained high accuracy of 94.9% using clinical dataset. Our results showed that the formation of tiny microminiature lesions was noticeable in type II diabetic patients with aged people, abnormal blood glucose levels, and prolonged diabetes duration.

Molecular dynamics simulation study on Bacillus subtilis EngA: the presence of Mg2+ at the active-sites promotes the functionally important conformation.

EngA, a GTPase contains two GTP binding domains [GD1, GD2], and the C-terminal KH domain shown to be involved in the later stages of ribosome maturation. Association of EngA to the ribosomal subunit in the intermediate stage of maturation is essential for complete ribosome maturation. However, this association was shown to be dependent on the nucleotide bound combinations. This nucleotide dependent association tendency is attributed to the conformational changes that occur among different nucleotide bound combinations. Therefore, to explore the conformational changes, all-atom molecular dynamics simulations for Bacillus subtilis EngA in different nucleotide bound combinations along with the presence or absence of Mg2+ in the active-sites were carried out. The presence of Mg2+ along with the bound nucleotide at the GD2 active-site dictates the GD2-Sw-II mobility, but the GD1-Sw-II mobility has not shown any nucleotide or Mg2+ dependent movement. However, the GD1-Sw-II secondary conformations are shown to be influenced by the GD2 nucleotide bound state. This allosteric connection between the GD2 active-site and the GD1-Sw-II is also observed through the dynamic network analysis. Further, the exploration of the GD1-KH interface interactions exhibited a more attractive tendency when GD1 is bound to GTP-Mg2+. In addition, the presence of Mg2+ stabilizes active-site water and also increases the distances between the α- and γ- phosphates of the bound GTP. Curiously, three water molecules in the GD1 active-site and only one water molecule in the GD2 active-site are stabilized. This indicates that the probability of GTP hydrolysis is more in GD1 compared to GD2.Communicated by Ramaswamy H. Sarma.

Conformational exploration of RbgA using molecular dynamics: Possible implications in ribosome maturation and GTPase activity in different nucleotide bound states.

Ribosome biogenesis GTPase A (RbgA) is involved in the late steps of the 50S ribosomal subunit maturation by binding into the 45S pre-ribosomal subunit. The association of RbgA to the 45S intermediate subunit depends on its bound nucleotide (GTP/GDP), probably because of the conformational shifts that occur between the GTP and GDP bound states. However, the available crystal structures of Staphylococcus aureus RbgA (SaRbgA) do not show any significant variations between different nucleotide bound states. Therefore, conformational exploration of SaRbgA in different nucleotide bound states was carried out using all-atom molecular dynamics (MD) simulations. Exploration of conformational distribution using cluster analysis and principal component analysis (PCA) revealed that GDP and pppGpp bound systems exhibit a larger distribution. This is majorly due to the fluctuations of the C-terminal tail (C-tail) as a result of the unwinding of α-helical secondary conformations into loop conformations which are observed from RMSF and DSSP analyses. Further investigation of the network of interactions revealed that the GTP and GMPPNP bound systems hold the C-tail in an α-helical form through stronger interactions between the active-site and C-tail. We also find that the presence of Mg2+ positions Sw-I loop away from the bound nucleotide and stabilizes the active-site water molecules. This seems to assist SaRbgA GTPase activity. In addition, mutations at the C-terminal and Sw-II conserved residues exhibit a larger conformational distribution majorly due to the C-tail fluctuations suggesting that the C-tail of SaRbgA probably interacts with the rRNA or rprotein in the process of ribosome biogenesis.

A Universal Stamping Method of Graphene Transfer for Conducting Flexible and Transparent Polymers.

Transfer method of chemically vapor deposition graphene is an appealing issue to realize its application as flexible and transparent electrodes. A universal stamping method to transfer as grown graphene from copper onto different flexible and transparent polymers (FTPs) reported here ensures simple, robust, rapid, clean and low-cost. This method relies on coating ethylene vinyl acetate (EVA) onto the as grown graphene, binding EVA coated graphene/Cu with FTPs and delamination by hydrogen bubbling process, which is analogous to the method used by stamping process where ink carries the imprint of the object onto any materials. The fate of the stamping method depends on how strongly the adhesion of EVA coated graphene/Cu with target FTPs. Interestingly, we have found that the thin film of EVA/graphene/Cu can only bind strongly with the FTPs of less than 25 µm in thickness and lower glass transition temperature value to the EVA while wide range of other FTPs are considered upon surface engineering to enhance the binding strength between FTPs and EVA. What's more, the electrical performance was investigated with a demonstration of triboelectric nanogenerators which confirmed the reliability of graphene transfer onto the FTPs and prospect for the development of flexible and transparent electronics.

Optimization of sorghum transformation parameters using genes for green fluorescent protein and beta-glucuronidase as visual markers.

Early and reliable detection of plant transformation events is essential for establishing efficient transformation protocols. We have compared the effectiveness of using the gene encoding a green fluorescent protein (GFP) and a beta-glucuronidase (gus) as reporter genes for early detection of transgene expression in explants subjected to biolistic bombardment and Agrobacterium-mediated transformation. The results indicate that gfp gene is superior to gus gene in following transgene expression in transiently transformed materials in both methods of transformation. Using GFP as the screenable marker, we have optimized sorghum transformation with respect to the conditions for transformation, type of explants, promoters, and inbreds. These optimized conditions have been used to obtain stably transformed explants for subsequent regeneration.

Antifungal proteins and other mechanisms in the control of sorghum stalk rot and grain mold.

Research on antifungal proteins and other mechanisms that provide the biochemical basis for host-plant resistance to stalk rot and grain molds is reviewed in this paper. Stalk rot caused by Fusarium species leads to substantial yield loss due to poor grain filling and/or lodging. A transgenic sorghum expressing high levels of chitinase exhibited less stalk rot development when exposed to conidia of F. thapsinum. Grain mold of sorghum is associated with warm humid environments and results from colonization by several fungi (F. thapsinum, Curvularia lunata, and Alternaria alternata) of the developing caryopsis. The roles of several biochemical mechanisms (tannins, phenolic compounds, red pericarp, proteins, hard endosperm, and antifungal proteins) on grain mold resistance are discussed. Resistance mechanisms related to these compounds appear to be additive, and pyramiding of genes is a feasible approach to limit grain deterioration. Several experimental approaches are proposed to extend current findings.

Darkfield microscopic (DFM) and serologic evidences for leptospiral infection in panuveitis cases.

186 out of 226 (82%) panuveitis cases showed the presence of leptospira in their blood samples by dark field microscopy. 75% cases were found positive for leptospira after low speed centrifugation and an additional 7% became positive after high speed centrifugation. Leptospirosis was four times more common in males than in females. The disease was more prevalent in the age group of 15 to 54 years. MAT was performed in 23 cases of which 9 were positive. ELISA was performed in 20 cases of which 9 were positive. DFM was positive in 19 out of these 23 cases. MAT, ELISA and DFM were positive in six cases. Highest antibody titre was found due to L. autumalis alone in two cases, L. autumnalis, and L. pomona in one case, L. bharathy in one case, L. lanka alone in one case and L. pomona one in one case. DFM was found to be more sensitive in a smal number of cases and hence DFM needs further evaluation by other workers in this field.

Inhibition ofAzorhizobium andRhizobium by seed leachates.

During germination of seeds ofSesbania rostrata, S. aculeata andS. speciosa various constituents, including tannin, free amino acids, protein, nitrogen and sugars, were released. Tannin released byS. speciosa after 24 h was particularly high. The growth ofAzorhizobium andRhizobium were inhibited in the presence of these materials.