Plant disease identification using contextual mask auto-encoder optimized with dynamic differential annealed optimization algorithm.

Most of the food consumed worldwide is produced by plants. Plant disease is a major cause of reduced production, but can be managed with regular monitoring. Manually observing plant diseases takes more time and is error-prone. Early detection of plant diseases with the aid of artificial intelligence and computer vision can decrease the effects of disease and help plants withstand the downsides of continuing surveillance. In this manuscript, plant disease identification using contextual mask auto-encoder optimized with dynamic differential annealed optimization algorithm (PDI-CMAE-DDAOA) is proposed. The plant village dataset is used to collect the images. Then the image is fed to preprocessing. Using an adaptive self-guided filter approach, the noise is removed from the input images during the pre-processing phase. The result of the pre-processing section serves as input for the feature extraction segment. Four statistical features, including mean, variance, entropy, and kurtosis, are recovered from the cosine similarity hidden Markov model (CSHMM). The contextual mask auto-encoder (CMAE) is given the extracted features to accurately classify the healthy and unhealthy regions of the plant image. The issue of slow convergence affects the CMAE. However, it is noted that the CMAE converges more quickly with deep learning features than with texture features in this instance. The CMAE classifier generally does not exhibit any adaptation of optimization algorithms for determining the best parameters to ensure the precise classification of plant disease. Therefore, dynamic differential annealed optimization algorithm (DDAOA) is considered to enhance the CMAE classifier, which accurately distinguishes between healthy and diseased plants. The proposed PDI-CMAE-DDAOA is done in Python. The efficacy of PDI-CMAE-DDAOA is evaluated under some performance metrics, like accuracy, precision, sensitivity, F1-score, specificity, error rate, receiver operating characteristic curve (ROC), computational time. The proposed method provides higher accuracy 23.34%, 34.33%, and 32.07%; higher sensitivity 36.67%, 36.33%, and 23.21%; higher F1-score 46.67%, 57.56%, and 43.21%; higher specificity 56.67%, 67.56%, and 23.21% analyzed with existing models, like transfer learning-based deep ensemble neural network for plant leaf infection recognition (PDI-DENN), plant disease detection with hybrid model based on convolutional auto-encoder and convolutional neural network (PDI-CAE-CNN), and automatic and reliable leaf disease finding depending on deep learning methods (PDI-EN-CNN), respectively. RESEARCH HIGHLIGHTS: To find the plant disease at early stage. To present PDI-CMAE-DDAOA. To get better classification accuracy by extracting the optimal features with the help of efficient CSHMM. To minimize the error during classification process. To maximize high area under curve value.

Computation of stagnation coating flow of electro-conductive ternary Williamson hybrid [Formula: see text] nanofluid with a Cattaneo-Christov heat flux model and magnetic induction.

Modern smart coating systems are increasingly exploiting functional materials which combine multiple features including rheology, electromagnetic properties and nanotechnological capabilities and provide a range of advantages in diverse operations including medical, energy and transport designs (aerospace, marine, automotive). The simulation of the industrial synthesis of these multi-faceted coatings (including stagnation flow deposition processes) requires advanced mathematical models which can address multiple effects simultaneously. Inspired by these requests, this study investigates the interconnected magnetohydrodynamic non-Newtonian movement and thermal transfer in the Hiemenz plane's stagnation flow. Additionally, it explores the application of a transverse static magnetic field to a ternary hybrid nanofluid coating through theoretical and numerical analysis. The base fluid (polymeric) considered is engine-oil (EO) doped with graphene [Formula: see text], gold [Formula: see text] and Cobalt oxide [Formula: see text] nanoparticles. The model includes the integration of non-linear radiation, heat source, convective wall heating, and magnetic induction effects. For non-Newtonian characteristics, the Williamson model is utilized, while the Rosseland diffusion flux model is used for radiative transfer. Additionally, a non-Fourier Cattaneo-Christov heat flux model is utilized to include thermal relaxation effects. The governing partial differential conservation equations for mass, momentum, energy and magnetic induction are rendered into a system of coupled self-similar and non-linear ordinary differential equations (ODEs) with boundary restrictions using appropriate scaling transformations. The dimensionless boundary value problem that arises is solved using the bvp4c built-in function in MATLAB software, which employs the fourth-order Runge-Kutta (RK-4) method. An extensive examination is conducted to evaluate the impact of essential control parameters on the velocity [Formula: see text], induced magnetic field stream function gradient [Formula: see text] and temperature [Formula: see text] is conducted. The relative performance of ternary, hybrid binary and unitary nanofluids for all transport characteristics is evaluated. The inclusion of verification of the MATLAB solutions with prior studies is incorporated. Fluid velocity is observed to be minimized for the ternary [Formula: see text]-[Formula: see text]-[Formula: see text] nanofluid whereas the velocity is maximized for the unitary cobalt oxide [Formula: see text] nanofluid with increasing magnetic parameter ([Formula: see text] Temperatures are elevated with increment in thermal radiation parameter (Rd). Streamlines are strongly modified in local regions with greater viscoelasticity i.e. higher Weissenberg number [Formula: see text]. Dimensionless skin friction is significantly greater for the ternary hybrid [Formula: see text]-[Formula: see text]-[Formula: see text] nanofluid compared with binary hybrid or unitary nanofluid cases.

A Rare Case of a Solitary Fibrous Tumor in a Child, Presenting as a Congenital Mass, Displaying NAB2ex4::STAT6ex2 Gene Fusion with an Incidental Ganglioneuroblastoma.

A solitary fibrous tumor (SFT) is a ubiquitous tumor that occurs across all ages. It is rarely reported in pediatric patients, especially as a congenital mass. A 1 year 7-month old male child presented with a slow-growing gluteal mass since birth along with a recent episode of bleeding. Magnetic resonance imaging (MRI) showed a well-defined, T1-hypointense and T2-hyperintense mass in the skin and the subcutaneous plane. Subsequently, he underwent a surgical resection that revealed a 5.7 cm-sized fleshy mass. On histopathologic examination, there was a fairly well-circumscribed, cellular spindle cell tumor, with cells arranged in intersecting fascicles and hemangiopericytomatous pattern with areas of hemorrhage and fibrinoid necrosis. Cells revealed mild nuclear atypia. Mitotic figures were up to 8/10 hpf. Immunohistochemically, the tumor cells were diffusely positive for CD34 and STAT6. Furthermore, the tumor revealed NAB2 exon 4:: STAT6 exon 2 fusion by RT-PCR and Sanger sequencing. Post-excision, during follow-up, the patient developed an adrenal mass that was histopathologically proven as a neuroblastic tumor, not further specified on biopsy and finally as ganglioneuroblastoma, intermixed type on excision. This constitutes one of the rare cases of SFT in a pediatric patient, presenting as a congenital mass, confirmed by STAT6 immunostaining and further, molecular testing. A review of literature of similar cases, including treatment-related implications, is presented.

Effectiveness of multi-disciplinary structured training program on mentoring and mental well-being for officers and instructors in the Indian Air Force.

Background: The military environment is characterized by unpredictable situations, intensive training, demanding workload, and job-associated stressors, which make it highly stressful. Mentorship and mental well-being training could be beneficial to both officers and the new adolescent recruits of the Indian Air Force (IAF). Aim: This study aimed at evaluating the effect of a multi-disciplinary structured training on mentoring and mental well-being among officers and instructors in the IAF. Methods: Seventy IAF officers/instructors underwent a week-long multi-disciplinary structured training program, which was conducted at a tertiary care neuro-psychiatric hospital in South India. A quasi-experimental design with a single-group pre- and post-test was adopted. Outcome measures included a) knowledge on mentorship and mental health and b) self-perceived competence in addressing mental health distress. Results: Post training, there was a statistically significant improvement in scores on mentorship/mental health knowledge and a significant increase in self-perceived competence in addressing mental distress. Conclusion: Mentorship and mental well-being training for officers and instructors in the IAF improved mental health knowledge and self-perceived competence. Therefore, administration of regular and in-depth structured mental health-related training interventions could be beneficial not only to the officers but also to the new recruits/mentees in the IAF.

Autoimmune Haemolytic Anaemia following ChAd Ox 1 nCoV-19 in Haemodialysis.

Autoimmune haemolytic anaemia (AIHA) is caused by autoantibodies that react with self-red blood cells (RBCs) and cause them to be destroyed with or without complement mediated mechanism. Its clinical presentation is heterogeneous, ranging from asymptomatic to severe forms with fatal outcomes, also it can be either idiopathic or secondary to a coexisting disorder. We report an elderly gentleman on haemodialysis, who presented with severe haemolytic anaemia after one month of first dose of ChAd Ox 1 nCoV-19 vaccine (viral vector vaccine) for SARS- CoV - 2, who also had asymptomatic COVID 19 infection around 6 months prior to vaccination. This is the first reported case of AIHA following COVISHIELD vaccine and till now there are no other reported cases from India.

Status of mental health and its associated factors among the general populace of India during COVID-19 pandemic.

The COVID-19 is an international public health emergency and threatens psychological resilience. Here we assess the general health status of the public in India during the COVID-19 outbreak. A population-based cross-sectional study conducted using a General Health Questionnaire and the relationship between mental health and sociodemographic factors were analyzed. The mean score for the general health of citizens was 24.18. About 40.63% of the elderly and 40.18% of the female population was under severe physiological distress. The prevalence of psychological stress among the general population was higher than expected. Hence, there is a need to intensify awareness about the pandemic and should provide mental health management programs.

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant.

The application of control strategies in wastewater treatment plants has increased to improve their performance for treating influent. The fuzzy logic controller plays a vital role in this work and simulation work was carried out in a benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on five inputs and six outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation in 2014a.

Shewanella algae and Microbulbifer elongatus from marine macro-algae - isolation and characterization of agar-hydrolysing bacteria.

Macro-algae are a good source of agar oligosaccharides, which can be obtained through bacterial enzymatic hydrolysis. The agarase enzyme secreted by the micro-organisms cleaves the cell wall of the algae and releases agar oligosaccharides as degradation products with various applications. Agarolytic bacteria were isolated from the marine algae Kappaphycus sp., and Sargassum sp., and studied for their agar-degrading properties. Among the 70 isolates, 2 isolates (A13 and Sg8) showed agarase activity in in vitro assays. The maximum agarolytic index was recorded in the isolate Sg8 (3.75 mm and 4.29 µg ml-1 agarase activity), followed by the isolate A13 (2.53 mm and 2.6 µg ml-1 agarase activity). Optimum agarase production of isolate Sg8 was observed at pH7 and at a temperature of 25 °C in 24-48 h, whereas for isolate A13 the optimum production was at pH7 and at a temperature of 37 °C in 48 h. The identities of the agarolytic isolates (Sg8 and A13) were confirmed based on microscopy, morphological, biochemical and molecular analysis as Shewanella algae [National Center for Biotechnology Information (NCBI) GenBank accession number MK121204.1] and Microbulbifer elongatus [NCBI GenBank accession number MK825484.1], respectively.

Effective use of social media platforms for promotion of mental health awareness.

BACKGROUND: Social media platforms are progressively developing as a rich source of mass communication. Increasing mental health awareness with the help of social media can be a good initiative to reach out to a large number of people in a short time frame. This study was conducted to understand the usefulness of social media platforms for health promotion. MATERIALS AND METHODS: It was a qualitative study to evaluate the effectiveness of social media platforms in hosting health promotion campaigns in the field of mental health, which was observed over 5 months from May to September 2019 to reach more people for effective information dissemination. The campaigns were as follows (1) The Buddies for Suicide Prevention: an online campaign to create awareness about suicide prevention. The campaign included script writing, slogan writing, poster making, and short films making, organized for the general public who were interested to take part; (2) The #Iquitobacco was a 21-day campaign with an idea of tobacco cessation in the community, conducted among social media viewers who were willing to participate; and (3) #Migrainethepainfultruth was yet another campaign conducted among the social media viewers who were interested to participate. All the campaigns were conducted using two famous social media platforms commonly used by young adults. Descriptive statistics such as frequency and proportions were computed for the number of likes and shares. RESULTS: The Facebook and Instagram posts concerning all the campaigns brought about a considerable amount of reach to the targeted population. After the campaigns, the page reached to around 10.3 k people (both fans and nonfans). CONCLUSIONS: Use of social media to conduct mental health campaigns is an effective initiative as one can reach out to several people over a short time period. There is an increasing trend in the awareness of mental health with the effective use of digital media as a platform for disseminating information.

Characterisation of ACP5 missense mutations encoding tartrate-resistant acid phosphatase associated with spondyloenchondrodysplasia.

Biallelic mutations in ACP5, encoding tartrate-resistant acid phosphatase (TRACP), have recently been identified to cause the inherited immuno-osseous disorder, spondyloenchondrodysplasia (SPENCD). This study was undertaken to characterize the eight reported missense mutations in ACP5 associated with SPENCD on TRACP expression. ACP5 mutant genes were synthesized, transfected into human embryonic kidney (HEK-293) cells and stably expressing cell lines were established. TRACP expression was assessed by cytochemical and immuno-cytochemical staining with a panel of monoclonal antibodies. Analysis of wild (WT) type and eight mutant stable cell lines indicated that all mutants lacked stainable enzyme activity. All ACP5 mutant constructs were translated into intact proteins by HEK-293 cells. The mutant TRACP proteins displayed variable immune reactivity patterns, and all drastically reduced enzymatic activity, revealing that there is no gross inhibition of TRACP biosynthesis by the mutations. But they likely interfere with folding thereby impairing enzyme function. TRACP exists as two isoforms. TRACP 5a is a less active monomeric enzyme (35kD), with the intact loop peptide and TRACP 5b is proteolytically cleaved highly active enzyme encompassing two subunits (23 kD and 16 kD) held together by disulfide bonds. None of the mutant proteins were proteolytically processed into isoform 5b intracellularly, and only three mutants were secreted in significant amounts into the culture medium as intact isoform 5a-like proteins. Analysis of antibody reactivity patterns revealed that T89I and M264K mutant proteins retained some native conformation, whereas all others were in "denatured" or "unfolded" forms. Western blot analysis with intracellular and secreted TRACP proteins also revealed similar observations indicating that mutant T89I is amply secreted as inactive protein. All mutant proteins were attacked by Endo-H sensitive glycans and none could be activated by proteolytic cleavage in vitro. In conclusion, determining the structure-function relationship of the SPENCD mutations in TRACP will expand our understanding of basic mechanisms underlying immune responsiveness and its involvement in dysregulated bone metabolism.

Phycocyanin Extracted from Oscillatoria minima Shows Antimicrobial, Algicidal, and Antiradical Activities: In silico and In vitro Analysis.

BACKGROUND: Phycocyanin is an algae-derived protein, which binds to pigment for harvesting light. It has been reported in various different species, including that of red algae, dinoflagellates, and cryptophyta. Importantly, phycocyanin has enormous applications, including cosmetic colorant, food additive, biotechnology, diagnostics, fluorescence detection probe, an anticancer agent, anti-inflammatory, immune enhancer, etc. In addition, several different algae were utilized for the isolation of cyano-phycocyanin (C-PC), but most of the purification methods consist of several steps of crude extraction. AIM: To isolate C-PC from a new source of microalgae with better purity level and to evaluate its antimicrobial, algicidal, and antiradical activities. METHODS: Biological activity, permeability, pharmacokinetics, and toxicity profile of C-PC were predicted by in silico studies. C-PC was purified and isolated by using ammonium sulphate precipitation, ion-exchange chromatography and gel-filtration chromatography. C-PC was characterized by SDS-PAGE and elution profile (purity ratio) analysis. Antimicrobial and algicial activities of C-PC were evaluated by the microtitre plate based assays. Antiradical activity of C-PC was evaluated by DPPH- and ABTS*+ radical scavenging assays. CONCLUSION: C-PC was extracted from Oscillatoria minima for the first time, followed by its quantitative as well qualitative evaluation, indicating a new alternative source of this important protein. Furthermore, the antimicrobial, algicidal, and antiradical activities of the isolated C-PC extract have been demonstrated by both in silico as well as in vitro methods.

Microbiome digital signature of MCR genes - an in silico approach to study the diversity of methanogenic population in laboratory-developed and pilot-scale anaerobic digesters.

The production of biogas by anaerobic digestion (AD) of organic/biological wastes has a firm place in sustainable energy production. A simple and cost-effective anaerobic jar at a laboratory scale is a prerequisite to study the microbial community involved in biomass conversion and releasing of methane gas. In this study, a simulation was carried out using a laboratory-modified anaerobic-jar-converted digester (AD1) with that of a commercial/pilot-scale anaerobic digester (AD2). Taxonomic profiling of biogas-producing communities by means of high-throughput methyl coenzyme-M reductase α-subunit (mcrA) gene amplicon sequencing provided high-resolution insights into bacterial and archaeal structures of AD assemblages and their linkages to fed substrates and process parameters. Commonly, the bacterial phyla Euryarchaeota , Chordata, Firmicutes and Proteobacteria appeared to dominate biogas communities in varying abundances depending on the apparent process conditions. Key micro-organisms identified from AD were Methanocorpusculum labreanum and Methanobacterium formicicum . Specific biogas production was found to be significantly correlating to Methanosarcinaceae . It can be implied from this study that the metagenomic sequencing data was able to dissect the microbial community structure in the digesters. The data gathered indicates that the anaerobic-jar system could throw light on the population dynamics of the methanogens at laboratory scale and its effectiveness at large-scale production of bio-methane. The genome sequence information of non-cultivable biogas community members, metagenome sequencing including assembly and binning strategies will be highly valuable in determining the efficacy of an anaerobic digester.

Contracaecum rudolphii Hartwich, 1964 (Nematoda: Anisakidae) in a wild spot-billed pelican (Pelecanus philippensis): a case report.

Post mortem examination of a spot-billed pelican (Pelecanus philippensis) revealed the presence of numerous anisakid nematodes in the proventriculus. The nematodes were processed in lactophenol as temporary mounts and were identified as Contracaecum rudolphii Hartwich, 1964 based on micrometry and morphological description of the anterior end, the sinuous uterus with sub globular thick-shelled eggs in female parasite and the tips of the spicules in male parasite. This is the first record of C. rudolphii in a wild spot-billed pelican from Andhra Pradesh, India.

Do Life Events and Social Support Vary across Depressive Disorders?

BACKGROUND: Social support and life events moderate the expression of depression though studies have shown contradictory results. The objective was to study the stressful life events and perceived social support in patients with adjustment disorder, first-episode depression, and recurrent depressive disorder (RDD). SUBJECTS AND METHODS: One hundred and forty-six patients aged 18-60 years with adjustment disorder, first-episode depression, or RDD according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision were evaluated using the presumptive stressful life events scale and Multidimensional Scale of Perceived Social Support. RESULTS: There was no difference in mean number of total life events and subgroups as well as perceived stress score in the past 1 year between the groups. There was no difference in the perceived social support scale total score, as well as from family and friends, across the three groups. However, the mean perceived social support from significant others in those with RDD was lower as compared to those with adjustment disorder. CONCLUSION: Stressful life events do not differ in adjustment disorder, first-episode depression, and RDD. Furthermore, the perceived social support was similar across the three groups, except for perceived social support from significant others, which was less in those with RDD.

Prenatal diagnosis of a rare aortic arch anomaly with left aortic arch and right ductus arteriosus: Cross ribbon sign.

Here, we report a fetus with a rare aortic arch anomaly with left aortic arch and right ductus arteriosus, which has not been reported so far. In this condition, the aorta extends to the left of the trachea as in normal, while the ductus arteriosus extends to the right of the trachea and joins the descending aorta posterior to the trachea, with a cross-ribbon sign.