Siravedha and Knee Osteoarthritis: A Case Report.

Background: Knee osteoarthritis is a degenerative disease resulting from wear and tear of the articular cartilage. Siravedha is an Ayurvedic surgical procedure of therapeutic blood-letting to manage various diseases including painful musculoskeletal conditions. Case Report: A female patient aged 51 years came to the hospital in the outpatient department of Shalya Tantra (surgery) in the month of June, 2022. She had complaints of pain and swelling in her left knee for six months with difficulty in walking, squatting, and going up and down stairs. Diagnosis was made using the 2016 American College of Rheumatology criteria and knee radiographs. The patient was diagnosed with left knee osteoarthritis of grade II (Kellgren and Lawrence osteoarthritis grading). She was previously treated with non-steroidal anti-inflammatory drugs and physiotherapy in a private hospital with slight relief. Initially, only oral Ayurvedic medicines were prescribed for one month. The patient reported minimal relief in symptoms. All oral medications were stopped. After obtaining written consent and completing diagnostic labs, therapeutic blood-letting by Siravedha was planned and executed. The outcomes of treatment were assessed with the Knee Injury and Osteoarthritis Outcome Score, goniometric readings, and findings of knee radiographs. Result and Discussion: Marked improvement was observed in range of motion of the knee joint and also in the Knee Injury and Osteoarthritis Outcome Scores with a positive impact on quality of life. Sustainability of relief in the follow-up period is suggestive of the fact that Siravedha has a role in alleviating the symptoms and progression of the ailment. Conclusion: Siravedha was found to be effective in knee osteoarthritis in terms of reducing pain and improving range of motion obviating the need for oral medication. This case report provides the first ever evidence on efficacy of Siravedha in knee osteoarthritis and may also serve as a lead for future research.

Importance of Dyslipidemias in Very Premature Coronary Artery Disease in India: A Registry-based Study.

BACKGROUND AND OBJECTIVE: Premature coronary artery disease (CAD) is an important cause of death in India. To identify risk factors in patients with premature CAD, we performed a registry-based study. METHODS: Consecutive patients admitted for percutaneous coronary intervention (PCI) from October 2020 to June 2021 were recruited. The patients were classified into three groups-group I (very premature CAD < 40 years), group II (premature CAD 40-59 years), and group III (nonpremature CAD > 60 years). Major risk factors were determined, and intergroup comparison was performed. RESULTS: A total of 627 patients were enrolled (men 541, women 86). Group I had 79 (12.4%), group II had 420 (66.9%), and group III had 128 (20.4%) patients. The prevalence of risk factors in groups I, II, and III, respectively, were-CAD family history in 45.1, 41.1, and 26.6% (p = 0.005), current smoking/tobacco use in 29.1, 21.0, and 10.2% (p = 0.002), hypertension in 31.6, 43.6, and 59.4% (p < 0.001), and diabetes in 22.8, 34.3, and 46.1% (p < 0.001). High total cholesterol (>170 mg/dL) was present in 50.0, 38.0, and 29.9% (p = 0.005), nonhigh-density lipoprotein (HDL) cholesterol (>100 mg/dL) in 76.9, 64.4, and 54.5% (p = 0.001), low-density lipoprotein (LDL) cholesterol (>70 mg/dL) in 85.9, 76.8, and 76.4% (p = 0.167), triglycerides (>150 mg/dL) in 56.4, 45.3, and 33.1% (p = 0.001), and very low density lipoprotein (VLDL) cholesterol (>30 mg/dL) in 24.4, 10.4, and 9.4% (p = 0.005). Age- and sex-adjusted odds ratios (OR) and 95% confidence intervals (CI) for smoking/tobacco use in groups I and II compared to group III, respectively, were 3.17 (1.60-6.27) and 2.59 (1.51-4.46); high total cholesterol 2.39 (1.29-4.13) and 1.42 (0.92-2.17); high non-HDL cholesterol 2.70 (1.45-5.03) and 1.48 (0.99-2.20); and high triglycerides 2.57 (1.44-4.58) and 1.64 (1.08-2.49). CONCLUSION: Important coronary risk factors in very premature and premature CAD in India are a family history of CAD, any tobacco use, and dyslipidemias (raised total, LDL, non-HDL, and VLDL cholesterol and triglycerides).

Epidemiological Study of Oral Cancer Cases Over a 10-Year Period.

Background: Because it causes high rates of morbidity and death, oral cancer represents a major global public health concern. It is vital to comprehend the epidemiological trends of oral cancer instances to execute efficacious preventive and therapy tactics. Objectives: The objective of this retrospective study was to examine the epidemiological patterns of cases of oral cancer in a tertiary care environment over a period of 10 years. Methods: Retrospective analysis was done on patient records of those who received an oral cancer diagnosis at a tertiary care facility. We collected and evaluated data on treatment methods, clinical factors, and demographics. Results: The study included 300 instances of oral cancer in total. The patients' average age was 58.4 years, and 66.7% of them were men. The majority of patients (66.6%) had advanced-stage cancer when they first appeared, with the tongue being the most common original tumor location (40.0%). Conclusion: In summary, this study sheds important light on the epidemiology of oral cancer patients during a 10-year period in a tertiary care context. The results highlight the significance of focused interventions for oral cancer early detection and prevention as well as the requirement for better access to healthcare services for prompt diagnosis and treatment.

Retrospective Analysis of Treatment Outcomes and Survival Rates in Oral Squamous Cell Carcinoma Patients.

Background: Because of its high rates of morbidity and death, oral squamous cell carcinoma (OSCC) poses a serious threat to world health. To maximize patient care and direct clinical decision-making, it is important to comprehend treatment results and survival rates. Methods: Treatment results and survival rates for OSCC patients treated at a tertiary care facility between 2010 and 2022 were assessed in this retrospective research. Demographic data, tumor features, treatment options, and follow-up results were all included in the data. The relationships between treatment methods and survival rates were evaluated by statistical analysis. Results: There were 107 OSCC patients in all. Compared to radiation and chemotherapy, surgery had reduced recurrence rates and greater overall survival rates as the most common treatment option. There were notable variations in survival rates across the various treatment regimens (P < 0.05). Conclusion: Surgery is the mainstay. Adjuvant treatments, however, are complementary in the management of illness. The significance of customized treatment strategies based on unique patient attributes and tumor features is highlighted by this study in order to maximize results for patients with OSCC. To confirm these results and investigate cutting-edge treatment approaches, more investigation is necessary.

Stereotactic Ablative Radiation Therapy (SABR) for Adolescent and Young Adult Malignancies.

BACKGROUND: There are limited studies examining local control (LC) and overall survival (OS) following stereotactic ablative radiation therapy (SABR) for adolescent and young adult (AYA) populations/histologies with local recurrences or metastatic disease. METHODS: The RSSearch® Patient Registry, an international SABR registry, was evaluated for AYA patients treated with SABR. AYA patients with adult histologies/primaries were excluded. Kaplan-Meier analyses were employed to characterize LC and OS following SABR. Potential prognostic factors were assessed with log-rank tests for initial univariate analysis (UVA). For multivariate analyses (MVA), a Cox proportional hazards multivariate model was utilized. RESULTS: A total of 19 AYA patients with 39 lesions treated with SABR were identified and included in the analysis. Four lesions (10.3%) were treated with SABR for primary tumor recurrence and 35 lesions were treated for metastatic disease. The median patient age was 34 years (range: 16-39 years). Common lesion locations included lung (11 lesions; 28.2%), non-spinal bone (nine lesions; 23.1%), and spine (six lesions; 15.4%). The median biological effective dose (BED10) was 61.5 Gy (range: 26.4-180). One-year LC and OS following SABR were 77.7% (95% CI: 58.5-88.7) and 72.7% (95% CI: 46.3-87.6), respectively. On UVA, BED10 ≥ 60 Gy was associated with superior one-year LC (94.4% vs. 47.6%; p<0.0001) as were sarcoma primaries (two-year LC: 92.3% vs. 42.2%;p = 0.0002). Central nervous system (CNS) primaries had significantly poorer one-year LC (20% vs 87.5%; p<0.0001) as well as spinal metastases (33.3% vs. 87.0%; p<0.0001). On MVA, BED10 < 60 Gy was associated with inferior LC (hazard ratio (HR) = 5.51;p = 0.01) with sarcoma primaries associated with superior LC (HR = 0.04;p = 0.008). CONCLUSION: SABR with BED10 ≥ 60 Gy resulted in durable LC for AYA patients, particularly those with sarcoma primaries, though poor outcomes were noted in metastatic CNS malignancies.

Effect of Low-Rank and High-Rank Coal Blend Characteristics on the Gasification Performance in Fixed Bed Reactor.

Coal gasification is the most demanding technology, increasing day by day for synthesis gas and chemical production in a clean environment. Coal is a primary source of energy or fuel. India has a high preservation of high-ash coal. Employment of this coal for gasification is tough due to its abrasive nature. Coal blending is an effective way to utilize such coal and to control the gasification performance. The present study focuses on using high-ash, low-rank Indian coal with high-rank imported coal in a suitable blend. The blending effect on raw gas yield (kg/kg of coal) and heating value (kcal/Nm3) was studied for coal blends-CH1 (20:80), CH2 (30:70), CH3 (40:60), CH4 (50:50), and CH5 (60:40) of RC (raw Indian coal) with RH (raw high-rank imported coal). Also, the gasification characteristics of the WC (washed Indian coal) were studied similarly. It may be seen that the raw gas yield with blends of raw coal and the rank of imported coal is 1.11 to 1.46 (ton/ton of coal), whereas in washed Indian coal, it is 0.95 (ton/ton of coal). A slight change was observed in the heating value of raw gas, and its average value in the blended CH1 to CH5 coal is 2860 kcal/Nm3, whereas in WC, it is 2956 kcal/Nm3. The maximum utilization of raw coal in the blend for gasification can be 60%, which is economical and 0.55 times more effective than WC gasification.

Acute Kidney Injury in Chronic Liver Disease in Northwest India: Still a Battle to Conquer.

Background: Patients with cirrhosis are susceptible to development of acute kidney injury (AKI), which leads to poor outcome. We conducted a study to evaluate the spectrum of AKI in patients with cirrhosis. Materials and Methods: This study was conducted in consecutive cirrhotic patients with AKI admitted in a tertiary care center of India from April 2020 to December 2022. Details including history, examination findings, and results of laboratory investigations were recorded. Results: A total of 243 patients were enrolled in this study. The majority (91.3%) of the patients were males. The most common etiology of cirrhosis was alcohol in 58.4% (n = 142) followed by hepatitis B in 10.3% (n = 25) of patients. Pre-renal form of AKI was present in 54.4% (n = 132) of patients and hepatorenal syndrome (HRS) in 21.8% (n = 53) of patients. IgA nephropathy was the commonest (n = 6) glomerular pathology in nonresponders with intrinsic renal disease. Majority of the patients belonged to stage II (46.9%) and stage I AKI (37%), while only 16.1% had stage III AKI. Various stages of AKI showed a significant correlation (P < 0.05) with Child-Turcotte-Pugh (CTP) score and Model for End-stage Liver Disease (MELD)-Na score. The overall in-hospital mortality rate was found to be 18.5% (n = 45). Conclusion: Renal dysfunction is a frequent complication among cirrhotic patients. Pre-renal factors were the most common cause of AKI in cirrhotics. Stages of AKI showed significant correlation with liver prognostic scores. Renal biopsy should be considered in patients not responding to treatment, to guide further management.

Uniqueness of lung cancer in Southeast Asia.

Lung cancer varies between Caucasians and Asians. There have been differences recorded in the epidemiology, genomics, standard therapies and outcomes, with variations according to the geography and ethnicity which affect the decision for optimal treatment of the patients. To better understand the profile of lung cancer in Southeast Asia, with a focus on India, we have comprehensively reviewed the available data, and discuss the challenges and the way forward. A substantial proportion of patients with lung cancer in Southeast Asia are neversmokers, and adenocarcinoma is the common histopathologic subtype, found in approximately a third of the patients. EGFR mutations are noted in 23-30% of patients, and ALK rearrangements are noted in 5-7%. Therapies are similar to global standards, although access to newer modalities and molecules is a challenge. Collaborative research, political will with various policy changes and patient advocacy are urgently needed.

Genotyping-by-sequencing targets genic regions and improves resolution of genome-wide association studies in autotetraploid potato.

KEY MESSAGE: De novo genotyping in potato using methylation-sensitive GBS discovers SNPs largely confined to genic or gene-associated regions and displays enhanced effectiveness in estimating LD decay rates, population structure and detecting GWAS associations over 'fixed' SNP genotyping platform. Study also reports the genetic architectures including robust sequence-tagged marker-trait associations for sixteen important potato traits potentially carrying higher transferability across a wider range of germplasm. This study deploys recent advancements in polyploid analytical approaches to perform complex trait analyses in cultivated tetraploid potato. The study employs a 'fixed' SNP Infinium array platform and a 'flexible and open' genome complexity reduction-based sequencing method (GBS, genotyping-by-sequencing) to perform genome-wide association studies (GWAS) for several key potato traits including the assessment of population structure and linkage disequilibrium (LD) in the studied population. GBS SNPs discovered here were largely confined (~ 90%) to genic or gene-associated regions of the genome demonstrating the utility of using a methylation-sensitive restriction enzyme (PstI) for library construction. As compared to Infinium array SNPs, GBS SNPs displayed enhanced effectiveness in estimating LD decay rates and discriminating population subgroups. GWAS using a combined set of 30,363 SNPs identified 189 unique QTL marker-trait associations (QTL-MTAs) covering all studied traits. The majority of the QTL-MTAs were from GBS SNPs potentially illustrating the effectiveness of marker-dense de novo genotyping platforms in overcoming ascertainment bias and providing a more accurate correction for different levels of relatedness in GWAS models. GWAS also detected QTL 'hotspots' for several traits at previously known as well as newly identified genomic locations. Due to the current study exploiting genome-wide genotyping and de novo SNP discovery simultaneously on a large tetraploid panel representing a greater diversity of the cultivated potato gene pool, the reported sequence-tagged MTAs are likely to have higher transferability across a wider range of potato germplasm and increased utility for expediting genomics-assisted breeding for the several complex traits studied.

Transcriptome analysis reveals genes associated with late blight resistance in potato.

Late blight is a serious disease of potato worldwide. Our study aimed to unveil genes involved in late blight resistance in potato by RNA-seq analysis after artificial inoculation under controlled conditions. In this study, two potato somatic hybrids (P7 and Crd6) and three varieties such as Kufri Girdhari, Kufri Jyoti and Kufri Bahar (control) were used. Transcriptiome analysis revealed statistically significant (p < 0.05) differentially expressed genes (DEGs), which were analysed into up-regulated and down-regulated genes. Further, DEGs were functionally characterized by the Gene Ontology annotations and the Kyoto Encyclopedia of Genes and Genomes pathways. Overall, some of the up-regulated genes in resistant genotypes were disease resistance proteins such as CC-NBS-LRR resistance protein, ankyrin repeat family protein, cytochrome P450, leucine-rich repeat family protein/protein kinase family, and MYB transcription factor. Sequence diversity analysis based on 38 peptide sequences representing 18 genes showed distinct variation and the presence of three motifs in 15 amino acid sequences. Selected genes were also validated by real-time quantitative polymerase chain reaction analysis. Interestingly, gene expression markers were developed for late blight resistant genotypes. Our study elucidates genes involved in imparting late blight resistance in potato, which will be beneficial for its management strategies in the future.

Screen Use Time and Its Association With Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study.

BACKGROUND: Screen use time has increased in the past decade owing to the increased availability and accessibility of digital devices and the internet. Several studies have shown an association between increased screen use time and mental health issues such as anxiety and depression. However, studies in the young adult population-a demographic with high screen use-and in low- and middle-income country settings are limited. OBJECTIVE: This protocol describes a study that aims to measure self-reported screen use times and patterns in young adults (18-24 y) in India and assess if increased screen use time is associated with poorer mental well-being. METHODS: This protocol describes a cross-sectional study of a pan-India, web-based convenience sample of young adults (18-24 y) with access to digital devices with a screen and a minimum of secondary school education. Participants will be recruited through people in the professional networks of the investigators, which includes pediatricians. The survey will also be distributed via the social media pages of our organization (X [X Corp], Instagram [Meta], Facebook [Meta], etc). Sociodemographic details will be collected through a questionnaire designed by the authors; screen use time and patterns will be assessed using an adaptation of the Screen Time Questionnaire to include data on different apps and websites used on digital devices; and mental health parameters will be gauged using the Warwick-Edinburgh Mental Well-Being Scale, Generalized Anxiety Disorder Scale, Perceived Stress Scale, and Patient Health Questionnaire. For statistical analysis, we will consider the following variables: (1) the primary independent variable is screen use time; (2) other independent variables include age, gender, residence: rural or urban, educational qualifications, employment status, stress associated with familial financial status, average sleep time, number of people living in a house or rooms in that house, BMI, substance use, and past psychiatric history; and (3) dependent variables include mental well-being, depression, anxiety, and perceived stress. To quantify the association between screen use time and mental health, we will perform a Bayesian multivariate multiple regression analysis that models the possibility of multiple alternative hypotheses while accounting for relevant sociodemographic covariables. RESULTS: The survey instrument has been designed, and feedback has been obtained from the domain experts and members of our organization whose profile is similar to the potential study participants. The final data received after this study has been conducted will be analyzed and shared. As of January 2023, we have not yet initiated the data collection. CONCLUSIONS: Based on the findings of this study, we will be able to establish a correlation between device- and use-specific screen use time and various mental health parameters. This will provide a direction to develop screen use time and mental health guidelines among young adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39707.

Safety and Efficacy of the Ayurvedic Formulation Guduchi Ghana Vati as a Preventive Remedy in COVID-19.

Background and objectives Guduchi (Tinospora cordifolia) is a well-known Ayurvedic herb used as a preventive and curative remedy for various infections and immunity-related conditions. This study aimed to evaluate Guduchi Ghana Vati as a preventive remedy for COVID-19 and non-COVID-19 infections in a healthy population. Materials and methods An open-labeled, multi-centric, randomized, comparative, interventional, prospective community-based clinical study was conducted on healthy individuals at the community level in five different districts of Rajasthan by the National Institute of Ayurveda (NIA), Jaipur, India. Participants were divided into two groups. One group received Guduchi Ghana Vati as an intervention for 45 days, and the control group did not receive any intervention. Incidences of COVID-19 infection, non-COVID-19 infections, their severity, and hospitalization requirements were assessed. Safety was evaluated through monitoring of adverse reactions. Results Among the 10,022 participants who completed the study, the incidence of COVID-19 infection was found to be lower in those taking Guduchi Ghana Vati compared to the control group; however, the difference was statistically non-significant. The severity of COVID-19 based on the WHO ordinal scale was found to be significantly lower in the Guduchi Ghana Vati group compared to the control group. The number of episodes and severity of non-COVID-19 illness were also significantly lower in participants taking Guduchi Ghana Vati compared to the control group. No major adverse drug reactions were observed. Conclusion Guduchi Ghana Vati has the potential to act as a safe and effective remedy for the prevention of infection and immunity-related conditions, including COVID-19.

Characterisation and mapping of a Globodera pallida resistance derived from the wild potato species Solanum spegazzinii.

KEY MESSAGE: A new resistance locus acting against the potato cyst nematode Globodera pallida was mapped to chromosome VI in the diploid wild potato species Solanum spegazzinii CPC 7195. The potato cyst nematodes (PCN) Globodera pallida and Globodera rostochiensis are economically important potato pests in almost all regions where potato is grown. One important management strategy involves deployment through introgression breeding into modern cultivars of new sources of naturally occurring resistance from wild potato species. We describe a new source of resistance to G. pallida from wild potato germplasm. The diploid species Solanum spegazzinii Bitter accession CPC 7195 shows resistance to G. pallida pathotypes Pa1 and Pa2/3. A cross and first backcross of S. spegazzinii with Solanum tuberosum Group Phureja cultivar Mayan Gold were performed, and the level of resistance to G. pallida Pa2/3 was determined in progeny clones. Bulk-segregant analysis (BSA) using generic mapping enrichment sequencing (GenSeq) and genotyping-by-sequencing were performed to identify single-nucleotide polymorphisms (SNPs) that are genetically linked to the resistance, using S. tuberosum Group Phureja clone DM1-3 516 R44 as a reference genome. These SNPs were converted into allele-specific PCR assays, and the resistance was mapped to an interval of roughly 118 kb on chromosome VI. This newly identified resistance, which we call Gpa VIlspg, can be used in future efforts to produce modern cultivars with enhanced and broad-spectrum resistances to the major pests and pathogens of potato.

Kaolinite nanoclay-shielded dsRNA drenching for management of Globodera pallida: An environmentally friendly pest management approach.

Globodera pallida, an obligate sedentary endoparasite, is a major economic pest that causes substantial potato yield losses. This research aimed to study the effects of gene silencing of three FMRFamide-like peptides (FLPs) genes to reduce G. pallida infestation on potato plants by using kaolinite nanoclay as a carrier to deliver dsRNAs via drenching. A dsRNA dosage of 2.0 mg/ml silenced flp-32c by 89.5%, flp-32p by 94.6%, and flp-2 by 94.3%. J2s incubated for 5 and 10 h showed no phenotypic changes. However, J2s of G. pallida efficiently uptake dsRNA of all targeted genes after 15 h of incubation. On the other hand, J2s that had been kept for 24 h had a rigid and straight appearance. Under fluorescence microscopy, all dsRNA-treated nematodes showed fluorescein isothiocyanate (FITC) signals in the mouth, nervous system, and digestive system. The untreated population of J2s did not show any FITC signals and was mobile as usual. The drenching of potato cultivar Kufri Jyoti with the dsRNA-kaolinite formulations induced deformation and premature death of J2s, compared with untreated J2s that entered J3 or J4 stages. This study validates that the nanocarrier-delivered RNAi system could be employed effectively to manage G. pallida infestations.

Ayurveda management for acute upper limb ischemia - a case report.

Acute upper limb ischemia (AULI) is a medical and surgical emergency involving sudden decrease in limb perfusion resulting in threat for limb viability. A 52 years old male patient was suffered from AULI. He had the complaints of numbness and pain in left upper limb, headache and pale discoloration of left-hand fingers and acute onset left upper extremity weakness.The Ayurveda diagnosis was considered as Vatarakta. He was advised oral medications - Kaishor guggulu in the dose of 750 mg twice a day with Jwarhar kashaya 40 ml twice a day, Ashwagandha Churna 3 g, Guduchi churna1g, Shatavari churna 2 g, Chopchini churna 1 g with milk twice a day, Shilajatwadi loha 500 mg and Mahavatvidhvansana rasa 250 mg twice a day with honey. All these medications were continued for 12 months. Two courses of Mustadi yapana basti (medicated enema enriched with milk) and Shalishastika pinda swedana (a specific type of sudation with a poultice of rice bolus) and Nasya (nasal therapy) with Shadabindu oil were given. Initial computed tomography (CT) angiogram revealed the abrupt cutoff of the left brachial artery in distal part due to hypodense lesion (thrombus) in the lumen while after 12 months of treatment CT angiogram revealed 70-80 % luminal narrowing in proximal part of left ulnar artery. It suggests the revascularization of left ulnar artery. All the symptoms of AULI were also resolved. We report a unique case of AULI managed with Ayurvedic interventions.

Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data.

KEY MESSAGE: An improved estimator of genomic relatedness using low-depth high-throughput sequencing data for autopolyploids is developed. Its outputs strongly correlate with SNP array-based estimates and are available in the package GUSrelate. High-throughput sequencing (HTS) methods have reduced sequencing costs and resources compared to array-based tools, facilitating the investigation of many non-model polyploid species. One important quantity that can be computed from HTS data is the genetic relatedness between all individuals in a population. However, HTS data are often messy, with multiple sources of errors (i.e. sequencing errors or missing parental alleles) which, if not accounted for, can lead to bias in genomic relatedness estimates. We derive a new estimator for constructing a genomic relationship matrix (GRM) from HTS data for autopolyploid species that accounts for errors associated with low sequencing depths, implemented in the R package GUSrelate. Simulations revealed that GUSrelate performed similarly to existing GRM methods at high depth but reduced bias in self-relatedness estimates when the sequencing depth was low. Using a panel consisting of 351 tetraploid potato genotypes, we found that GUSrelate produced GRMs from genotyping-by-sequencing (GBS) data that were highly correlated with a GRM computed from SNP array data, and less biased than existing methods when benchmarking against the array-based GRM estimates. GUSrelate provides researchers with a tool to reliably construct GRMs from low-depth HTS data.

Salt stress influences the proliferation of Fusarium solani and enhances the severity of wilt disease in potato.

Soil salinity has emerged as a critical abiotic stress in potato production, whereas wilt disease, caused by Fusarium solani, is the significant biotic stress. An experiment was performed to decipher the occurrence of wilt incidence by F. solani FJ1 under the influence of salinity in both in vitroand pot culture conditions. High salt concentration negatively influenced root and shoot development in the variety "Kufri Jyoti" but positively affected the mycelial growth and sporulation behaviours of F. solani FJ1. There was abundant whitish mycelial growth with enhanced biomass and high sporulation (microconidia production) in F. solani FJ1 cultured on salt-supplemented media. Moreover, under high salinity conditions (EC 2-8 dS m-1), severe wilting and rotting of vascular bundles were observed in plants artificially inoculated with F. solani FJ1. The mortality rate of potato plants was significantly higher under individual and combined stresses as compared to control. The wilt index of individual and combined stressed plants was also substantially higher compared to the control. Additionally, compared to the control, there was a significant decrease in total chlorophyll content and membrane stability index of the leaves under combined stress. However, the total phenols were increased under stress conditions. The total sugar content of potato plants decreased in infected plants, but increased when exposed to salt stress or a combination of salt stress and pathogen infection. F. solani infection also increased the activity of peroxidase (POX) and decreased the activity of phenylalanine ammonia-lyase (PAL) and catalase (CAT). These results suggest that Fusarium wilt and dry rot will be a more severe disease for potato cultivation in saline soils.

Optimised deep k-nearest neighbour's based diabetic retinopathy diagnosis(ODeep-NN) using retinal images.

Diabetes mellitus has been regarded as one of the prime health issues in present days, which can often lead to diabetic retinopathy, a complication of the disease that affects the eyes, causing loss of vision. For precisely detecting the condition's existence, clinicians are required to recognise the presence of lesions in colour fundus images, making it an arduous and time-consuming task. To deal with this problem, a lot of work has been undertaken to develop deep learning-based computer-aided diagnosis systems that assist clinicians in making accurate diagnoses of the diseases in medical images. Contrariwise, the basic operations involved in deep learning models lead to the extraction of a bulky set of features, further taking a long period of training to predict the existence of the disease. For effective execution of these models, feature selection becomes an important task that aids in selecting the most appropriate features, with an aim to increase the classification accuracy. This research presents an optimised deep k-nearest neighbours'-based pipeline model in a bid to amalgamate the feature extraction capability of deep learning models with nature-inspired metaheuristic algorithms, further using k-nearest neighbour algorithm for classification. The proposed model attains an accuracy of 97.67 and 98.05% on two different datasets considered, outperforming Resnet50 and AlexNet deep learning models. Additionally, the experimental results also portray an analysis of five different nature-inspired metaheuristic algorithms, considered for feature selection on the basis of various evaluation parameters.