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Oropouche virus (OROV) is a species in the Simbu serogroup of bunyaviruses (genus Orthobunyavirus) that includes the reassortant species Iquitos virus (IQTV) and Madre de Dios virus. The species share [...]

BackgroundSocial media use continues to gain momentum in academic neurosurgery. To increase journal impact and broaden engagement, many scholarly publications have turned to social media to disseminate research. The Journal of Neurosurgery Publishing Group (JNSPG) established a dedicated, specialized social media team (SMT) in November 2016 to provide targeted improvement in digital outreach. ObjectiveThe goal of this study was to examine the impact of the JNSPG SMT as measured by increased engagement. MethodsWe analyzed various metrics, including impressions, engagements, retweets, likes, profile clicks, and URL clicks, from consecutive social media posts from the JNSPG’s Twitter and Facebook platforms between February 1, 2015 and February 28, 2019. Standard descriptive statistics were utilized. ResultsBetween February 2015 and October 2016, when a specialized SMT was created, 170 tweets (8.1 tweets/month) were posted compared to 3220 tweets (115.0 tweets/month) between November 2016 and February 2019. All metrics significantly increased, including the impressions per tweet (mean 1646.3, SD 934.9 vs mean 4605.6, SD 65,546.5; P=.01), engagements per tweet (mean 35.2, SD 40.6 vs mean 198.2, SD 1037.2; P

Businesses of all kinds are breaching into Industry 5.0, and they require pursuing digital transformation (DT) with great aggression as it provides them the leverage in getting a competitive advantage, more numbers on top line as revenue, and much deeper relationships from a customer standpoint. DT is a far-reaching organizational change necessitating the integration of technologies such as blockchain, IoT, AI, and Cloud Computing. The article aims to emphasize the importance of theoretical frameworks to guide successful DT in organizations. It critiques the role of these frameworks in addressing common challenges seen in DT programs. The study reviews and analyses a range of theoretical frameworks such as Technology Acceptance Model (TAM), Task-Technology fit, and the Unified Theory of acceptance and use technology (UTAUT) extensively. This article reviews existing models and synthesizes their findings from thorough research in a wide range of organizational environments to understand how they can be applied and have been used within DT projects. The proposed article asserts that the main reason behind most of the failure of DT initiatives is planning which does not take into account many strategic factors and one of those factors are flexible organization and cultural integration. This concludes how the ever-ongoing problem of adopting technology is no longer unexplored by stating that TAM, TTF, and UTAUT can be successfully used to let organizations overcome these hurdles. The article underscores the need for strategic, culturally appropriate approaches to DT and highlights that theoretical underpinnings are integral in this effort. By embedding TAM, TTF, and UTAUT into a typical DT strategy, the way businesses navigate their complex environment in time is more likely to acknowledge where technological development should align with strategic goals as well as cultural values.

Through a detailed case study, this work brings out another facet at the inter-section of drone technology with computational methodologies: demonstrating code and machine learning-driven approaches toward supreme flying abilities. The article provides a systematic review of the integration between drones and computational frameworks with applications in areas like agriculture, logistics, and surveillance. The proposed approach uses a systematic process that integrates data collection, algorithm design, and real-life trials to develop novel algorithms that enhance drone capabilities, including autonomous navigation, adaptive processing, and decision-making. The results indicate that machine learning models significantly improve predictive maintenance, data analytics, and decision-making, leading to better operational efficiency, particularly in obstacle avoidance and flight path optimization. This study highlights the importance of computational algorithms in advancing drone electronics and provides insight into how they could transform various industries. These results offer a new dimension to the growing body of work in autonomous systems and their utilization, illustrating how innovation in drone capabilities can have wide-ranging impacts on advancing technology within various industries.

Background: The digitization of healthcare data has made significant progress in medical research and personalized medicine. Nonetheless, conventional centralized data-sharing structures present primary obstacles to information privacy and security due to laws like the Health Insurance Portability and Accountability Act (HIPAA). Federated Learning (FL) has been proposed as a potential solution that can enable collaborative learning with decentralized datasets without the requirement of data centralization. Objective: This study examines how well Federated Learning performs in meeting both the requirements of secure data exchange between healthcare organizations and achieving high model accuracy without violating any privacy compliance regulations. Methods: A Federated Learning framework was implemented with a neural network model using federated learning on an electronic health records (EHR) database collected from multiple hospitals. Its accuracy was compared to a traditional centralized model across various states, while the people also consider its convergence speed and data leakage risks. We incorporated differential privacy mechanisms in order to improve the security of data sets as well as prevent malicious attacks. Results: The FL model achieved accuracy comparable to the centralized model, with only a marginal reduction. Furthermore, the integration of differential privacy significantly reduced the risk of data breaches, providing robust protection against adversarial attacks. Conclusion: The FL model reported a performance difference which was only slightly reduced as compared with the centralized model. Moreover, this privacy compliance overcomes the risk of data breaches by integrating with differential privacy & securing against adversarial attacks.

Abstract In plants, the BAX inhibitor-1 (BI-1) gene plays a crucial part in controlling cell death under stress conditions. This mechanism of Programmed Cell Death (PCD) is genetically regulated and is crucial for the elimination of unwanted or damaged cells in a controlled manner, which is essential for normal development and tissue maintenance. A study on cucumber identified and characterized five BI-1 genes: CsBI1, CsBI2, CsBI3, CsBI4, and CsBI5. These genes share conserved domains, indicating common evolutionary history and function. Physicochemical analysis revealed their molecular weights and isoelectric points, while subcellular localization showed their presence in different cellular compartments. The phylogenetic analysis highlighted evolutionary relationships with related crops. Chromosomal distribution and synteny analysis suggested segmental or tandem duplications within the gene family. Protein-protein interaction analysis revealed extensive interactions with other cucumber proteins. Cis-regulatory elements in the promoter regions provided insights into potential functions and transcriptional regulation. miRNAs showed diverse regulatory mechanisms, including mRNA cleavage and translational inhibition. The CsBI3, CsBI4 and CsBI5 genes exhibit elevated expression levels during cold stress, suggesting their vital involvement in cucumber plant defense mechanisms. The application of chitosan oligosaccharides externally confirms their distinct expression patterns. The qRT-PCR confirms the upregulation of CsBI genes in ToLCNDV-infected plants, indicating their potential to mitigate biotic and abiotic stresses. The comprehensive genome-wide exploration provides opportunities for the development of cold-tolerant and virus-resistant cucumber variants by traditional breeding or gene.

We propose and analyze a simple modification to the Rosenzweig-MacArthur predator (zooplankton)-prey (phytoplankton) model to account for the interference of the predators with the impacts of nanoparticles. We have taken into account the influence of predators by quantifying the impact of nanoparticles in actual environments. It is shown that the influence of the nanoparticles may reduce the prey's maximum physiological per-capita growth rate. An elementary Lotka-Volterra uptake term is taken into consideration in order to investigate the nanoparticle dynamics or interactions. Most importantly, our research shows that phytoplankton growth suppression caused by nanoparticles can destabilize the system and cause periodic oscillation. Additionally, it was demonstrated that a decrease in the equilibrium densities of both phytoplankton and zooplankton might occur from an increase in the rate of interaction between the nanoparticles and phytoplankton. Additionally, the study shows that the stable coexistence of the system dynamics depends critically on the aquatic system's nanoparticles being depleted. We also looked into the system using different kinds of functional reactions. Compared to other commonly used ecology, The complex relationship that exists between phytoplankton and nanoparticles in the natural environment is better described by the Monod-Haldane functional response.

Ferroptosis, a form of regulated cell death, has emerged as a crucial process in diverse pathophysiological states, encompassing cancer, neurodegenerative ailments, and ischemia-reperfusion injury. The glutathione (GSH)-dependent lipid peroxidation pathway, chiefly governed by glutathione peroxidase 4 (GPX4), assumes an essential part in driving ferroptosis. GPX4, as the principal orchestrator of ferroptosis, has garnered significant attention across cancer, cardiovascular, and neuroscience domains over the past decade. Noteworthy investigations have elucidated the indispensable functions of ferroptosis in numerous diseases, including tumorigenesis, wherein robust ferroptosis within cells can impede tumor advancement. Recent research has underscored the complex regulatory role of non-coding RNAs (ncRNAs) in regulating the GSH-GPX4 network, thus influencing cellular susceptibility to ferroptosis. This exhaustive review endeavors to probe into the multifaceted processes by which ncRNAs control the GSH-GPX4 network in ferroptosis. Specifically, we delve into the functions of miRNAs, lncRNAs, and circRNAs in regulating GPX4 expression and impacting cellular susceptibility to ferroptosis. Moreover, we discuss the clinical implications of dysregulated interactions between ncRNAs and GPX4 in several conditions, underscoring their capacity as viable targets for therapeutic intervention. Additionally, the review explores emerging strategies aimed at targeting ncRNAs to modulate the GSH-GPX4 pathway and manipulate ferroptosis for therapeutic advantage. A comprehensive understanding of these intricate regulatory networks furnishes insights into innovative therapeutic avenues for diseases associated with perturbed ferroptosis, thereby laying the groundwork for therapeutic interventions targeting ncRNAs in ferroptosis-related pathological conditions.

One of the main causes of death worldwide is lung cancer, which is largely caused by cigarette smoking. The crucial transcription factor NF-κB, which controls inflammatory responses and various cellular processes, is a constitutively present cytoplasmic protein strictly regulated by inhibitors like IκB proteins. Upon activation by external stimuli, it undergoes phosphorylation, translocates into the nucleus, and modulates the expression of specific genes. The incontrovertible association between pulmonary malignancy and tobacco consumption underscores and highlights a public health concern. Polycyclic aromatic hydrocarbons and nitrosamines, potent carcinogenic compounds present in the aerosol emitted from combusted tobacco, elicit profound deleterious effects upon inhalation, resulting in severe perturbation of pulmonary tissue integrity. The pathogenesis of smoking-induced lung cancer encompasses an intricate process wherein NF-κB activation plays a pivotal role, triggered by exposure to cigarette smoke through diverse signaling pathways, including those associated with oxidative stress and pro-inflammatory cytokines. Unraveling the participation of NF-κB in smoking-induced lung cancer provides pivotal insights into molecular processes, wherein intricate crosstalk between NF-κB and pathways such as MAPK and PI3K-Akt amplifies the inflammatory response, fostering an environment conducive to the formation of lung cancer. This study reviews the critical function of NF-κB in the complex molecular pathways linked to the initiation and advancement of lung carcinogenesis as well as potential treatment targets.

In modern communication systems, ultra-wideband (UWB) technology has garnered substantial attention due to its superior attributes compared to traditional narrowband communication systems. Over the past decade, UWB technology has also found applications in microwave-based imaging systems. This study introduces a simple planar coplanar waveguide-fed circular shape arc slot antenna designed specifically for biomedicine and microwave medical imaging applications. The proposed design is implemented on a 1.6-mm-thick FR4 substrate with a relative permittivity of 4.4 and a loss tangent of 0.0009. The antenna has physical dimensions of 26 mm × 29 mm and achieves an impressive bandwidth of 16.6 GHz, spanning 2.4 to 19 GHz. It exhibits a peak gain of 2.5 dBi and consistent omnidirectional radiation characteristics. Thorough temporal analysis validates the antenna’s performance within acceptable limits, which is further affirmed through practical fabrication and testing, demonstrating strong agreement with simulation results.

COVID-19 has caused a deep economic impact on the lives of small and marginal farmers due to travel restrictions, market closures, and social distancing requirements. Due to COVID-induced labor scarcity and water shortage in India, direct-seeded rice (DSR) has emerged as a viable alternative to puddled transplanted rice (PTR). However, there was plenty of labor available in Pakistan and Bangladesh for rice cultivation during COVID-19 times. Therefore, both countries did not observe the shift from PTR to DSR. The cost of inputs, such as seed, fertilizer, pesticide, and fuel, was high due to a supply–demand conflict during the COVID-19 pandemic in three countries. Farmers faced weed problems and physical and/or economical non-availability of suitable machinery for DSR cultivation during the COVID-19 pandemic. In the later years of 2022 and 2023 (post-COVID), the area under DSR decreased by 88% in India, while it remained stagnant in Pakistan and Bangladesh.

OBJECTIVE: To study the frequency and antifungal susceptibility of the Candida albicans and non-albican species in diabetic foot infections from samples collected in a tertiary care hospital of district Peshawar. METHODOLOGY: This cross-sectional study was conducted from March 2020 to February 2021 in Khyber Teaching Hospital and Hayatabad Medical Complex, Peshawar. Specimen for culture swabs or tissue from diabetic foot ulcers was taken using aseptic methods. If pus was absent in the wound, ulcer scraping was collected. One tissue sample was soaked in 10% KOH for microscopy, while the second sample was used for fungal culture and sensitivity using Sabouraud dextrose agar. RESULTS: Of the 600 samples, 200 patients had diabetic foot ulcers with positive fungal culture from Males 102(51%) and Females 98(49%). The age range was 40-78 years. The frequency of C. albicans, C. dubliniensis, C. famata, C. glabrata, C. parapsilosis, and C. lusitaniae was 23(11.5%), 27(13.5%), 19(9.5%), 19(9.5%), 88(44%) and 24(12%). C. albicans was the most common fungal species. Antifungal susceptibility testing was done, and resistance to drugs like Amphotericin, Caspofungin, Fluconazole, Flucytosine, Itraconazole, Micafungin, Voriconazole which was 6.5%, 16%, 25.5%, 5.5%, 3%, 22.5%, 21% respectively. Resistance to Fluconazole, Micafungin and Voriconazole was the highest among all commonly used antifungal drugs. CONCLUSION: Fungal infection in diabetic foot ulcers usually does not respond to antibiotics. Candia albicans and non-albicans spp are also associated with diabetic foot ulcer infection and inflammation, and these fungi have the highest resistance to commonly used antifungal agents.

Summary: HIV-1 reservoirs display a heterogeneous nature, lodging both intact and defective proviruses. To deepen our understanding of such heterogeneous HIV-1 reservoirs and their functional implications, we integrated basic concepts of graph theory to characterize the composition of HIV-1 reservoirs. Our analysis revealed noticeable topological properties in networks, featuring immunologic signatures enriched by genes harboring intact and defective proviruses, when comparing antiretroviral therapy (ART)-treated HIV-1-infected individuals and elite controllers. The key variable, the rich factor, played a pivotal role in classifying distinct topological properties in networks. The host gene expression strengthened the accuracy of classification between elite controllers and ART-treated patients. Markov chain modeling for the simulation of different graph networks demonstrated the presence of an intrinsic barrier between elite controllers and non-elite controllers. Overall, our work provides a prime example of leveraging genomic approaches alongside mathematical tools to unravel the complexities of HIV-1 reservoirs.

Chilli, one of the most popular vegetables in the world is infested by many insect-pests and diseases. Fipronil, a phenylpyrazole class insecticide is used to manage insect-pests on chilli. The present study aimed to analyze the dissipation patterns and residual concentrations of the fipronil and its metabolites in chilli fruits during the Kharif season of 2020–21, in semi-arid environment. In the study, fipronil was applied to the plants twice, with a 10-day gap between treatments, using a 5 % suspension concentrate. The applications were undertaken using two separate concentrations i.e. the lower dosage of 40 g a.i. ha−1 and higher dosage of 80 g a.i. ha−1. There were four sets of data for each concentration. The chilli crop was systematically sampled at predetermined intervals after the application of the second spray. The procedure encompassed utilizing the modified QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) technique for extraction and purification, followed by analyzing the resulting residues using Gas Chromatography Electron Capture Detector. Gas Chromatography- Mass Spectrometry was subsequently conducted for the confirmation of the findings. The research revealed that the mean initial deposit of fipronil and its metabolites (desulfinyl, sulphide, and sulfone) at the authorized dosage was determined to be 0.574, 0.123, 0.031, and 0.180 mg kg−1, respectively. In contrast, when administered at twice the prescribed dosage, the mean first deposit was 1.204, 0.230, 0.067, and 0.382 mg kg−1. The half-life values of these residues exhibited a range of 1.2–4.1 days for both dosages. A prudent waiting duration was determined for the doses, leading to the conclusion that an average interval of 7 days is deemed safe for harvesting chilli peppers. The significance of this discovery is related to the maximum residue limits of 0.001 mg kg−1 for fipronil in green chilli, as established by the Food Safety and Standards Authority of India. This study provides significant insights into fipronil's persistence and proper management in chilli plant cultivation, emphasizing the importance of following prescribed dosages and designated waiting intervals to ensure the safety of food products.

IntroductionIndividuals experiencing mental health disorders encounter numerous challenges while accessing mental healthcare services. Despite the inclusion of mental health in the primary healthcare system, screening and managing mental health disorders remain significantly overlooked. Therefore, there is a need to understand the perceptions of healthcare providers in primary care settings, identify the challenges faced, and gather suggestions for effective mental healthcare delivery.MethodsThe present qualitative study was conducted in 13 primary healthcare facilities in the Jodhpur district of Rajasthan, India, from 2023 to 2024 among 25 primary healthcare providers. Semi-structured interview guides were developed for each category of primary healthcare provider, including Medical Officers, Community Health Officers, and General Nurse Midwives, Auxiliary Nurse Midwives and in-depth interviews were recorded, transcribed, and thematically analyzed using codes and sub-codes.ResultsResults are summarized under the themes: (i) Navigating Mental Healthcare in Primary Healthcare Facilities, (ii) Challenges and Barriers in Mental Healthcare Delivery, (iii) Recommendation for Enhancing Mental Healthcare Services, and (iv) Approaches for Comprehensive Capacity Building Training and Module and further findings of each theme are presented under various sub-themes.ConclusionThe findings suggest that despite a perceived competence in providing mental health services, there were substantial levels of negative attitudes towards mental health disorders among participants and provide insights for policymakers and healthcare professionals to develop targeted interventions and improve mental healthcare delivery at primary care facilities.

The objective is to assess the impact of knowledge sharing, employee motivation, and employee engagement on overall performance. The quantitative research method is used to collect primary data through an adoptive structured questionnaire based on a 5-Likert scale. The responses are recorded from 322 respondents through the method of sampling in many stages. Using SmartPLS software, recorded responses are examined using statistical tests (such as regression and correlation). The results indicate a positive relationship among knowledge sharing, employee engagement, motivation, and performance. All hypotheses (H1, H2, H3) were accepted with t-values exceeding 1.96. This study elaborates on how knowledge sharing along with the moderating effects of motivation and engagement, improves employee performance, particularly in the academic sector. It also adds to the existing literature on these relationships.

Background: Pakistan’s economy largely depends on citrus cultivation, and citrus fruits generate significant foreign exchange. Xanthomonas citri pv. citri (Xcc) is the primary cause of citrus canker (CC), which poses a significant threat to the industry. The management of disease is made more difficult by the lack of resistant variants against different Xcc races. Understanding and addressing Xcc are critical for maintaining the industry given the economic reliance on citrus. Methods: In order to isolate Xcc in a lab, a thorough survey was conducted in the districts of Bahawalpur, Multan, and Dera Ghazi Khan to collect samples showing canker symptoms. Gram-negative bacteria were identified in the isolates by biochemical analysis, and Koch’s postulates confirmed Xcc as the CC causing agent. DNA extraction and sequencing were used in the molecular characterization, which confirmed the phylogenetic relationship with Xcc. Using the disc sensitivity method, nine antibiotics were tested at 300, 500, and 700 ppm concentrations to evaluate CC management. Amoxicillin was found to be highly effective in inhibiting the growth of Xcc colonies. Results: The study provided morphogenetic insights and established Xcc as the causal agent of CC. All strains matched Xcc in molecular characterization, but antibiotic sensitivity testing revealed inconsistent efficacy. Amoxicillin proved to be very effective at stopping the growth of Xcc colonies at every tested dosage. Conclusion: This study makes an important contribution to our understanding of XCC and helps the citrus industry develop better disease control plans. Future interventions against citrus canker can benefit greatly from the understanding provided by morphogenetic characterization and antibiotic sensitivity profiles. The discovery of amoxicillin’s high efficacy highlights the drug’s potential for treating diseases linked to Xcc. These results help to protect citrus growing, maintaining the viability of an important industry in Pakistan’s agricultural landscape.

Introduction: Daidzein, a secondary metabolite found in Soybean (Glycine max L.) and Pueraria lobata (Willd.), plays a pivotal role in various therapeutic applications, including its potential as an anticancer agent, particularly in estrogen-dependent breast cancer, along with anti-allergic, anti-inflammatory, cardiovascular, antidiabetic, antioxidative, and neurogenerative effects. Daidzein's ability to traverse the blood-brain barrier enhances cognition, reduces aggression, and promotes locomotor activity. Its structural resemblance to estrogens positions it as a potential remedy for menopausal osteoporosis. Methodology: The methodology for the comprehensive review on Daidzein entailed a literature search utilising keywords such as ''Daidzein'' and various therapeutic activities, including “Antioxidant,” “Anti-inflammatory,” “Anticancer,” “Antiviral,” “Antiobesity,” “Antidiabetic,” “Nephrotoxicity,” “Cardiovascular,” “Neuroprotective,” “Osteoporosis,” “Menopausal Symptoms,” “Aging,” “Cognitive Activities”. Academic databases such as PubMed, Google Scholar, Scopus, and Web of Science were employed for the search, considering articles published within the last 20 years to capture recent research while encompassing significant historical studies. Results: The results provide insights into the diverse effects of daidzein across various health domains, including its antioxidant, anti-inflammatory, anticancer, antiviral, antiobesity, antidiabetic, nephrotoxicity, cardiovascular, neuroprotective, osteoporosis, menopausal symptoms, ageing, and cognitive activities. Discussion: : The discussion section critically analyses the collective evidence gathered from the studies. It explores the mechanisms underlying daidzein's therapeutic effects and discusses the implications of these findings for both Traditional Chinese Medicine and modern healthcare practices. However, challenges related to its low bioavailability and toxicity necessitate further research, providing a foundation for future studies on daidzein's potential applications.

Abstract A serious environmental problem that threatens soil quality, agricultural productivity, and food safety is heavy metal pollution in water sources. Heavy metal pollution is the main problem in tehsil Pasrur, Sialkot, Pakistan. Present study was arranged to notice the heavy metals in water, soil, forages and buffalo milk. There are seven sites that were used for this experiment. Highest malondialdehyde (MDA) contents (3.00 ± 0.01) were noticed in barseem roots at site 7. Ascorbate Peroxidase (APX) was reached at its peak (1.93 ± 0.01) at site 7 in the fresh barseem. Maximum protein contents (0.36 ± 0.01) were observed in fresh plant samples at site 2. Site 3's buffalo milk samples had the highest Ni content (7.22 ± 0.33 ppm), while Site 3's soil samples had the lowest Cr content (8.89 ± 0.56 ppm), Site 1's plant shoots had the lowest Cr content (27.75 ± 1.98 ppm), and Site 3's water had the highest Cr content (40.07 ± 0.49 ppm). The maximum fat content (5.38 ± 2.32%) was found in the milk of the animals at site 7. The highest density (31.88 ± 6.501%), protein content (3.64 ± 0.33%), lactose content (5.54 ± 0.320%), salt content (0.66 ± 0.1673%), and freezing point (− 0.5814 ± 0.1827 °C) were also observed in the milk from animals at site 7, whereas site 5 displayed the highest water content (0.66 ± 0.1673%) and peak pH value (11.64 ± 0.09). In selected samples, the pollution load index for Ni (which ranged from 0.01 to 1.03 mg/kg) was greater than 1. Site 7 has the highest conductivity value (5.48 ± 0.48). Values for the health risk index varied from 0.000151 to 1.00010 mg/kg, suggesting that eating tainted animal feed may pose health concerns. Significant health concerns arise from metal deposition in the food chain from soil to feed, with nickel having the highest health risk index.

Cancer poses intricate challenges to treatment due to its complexity and diversity. Ferroptosis and circular RNAs (circRNAs) are emerging as innovative therapeutic avenues amid the evolving landscape of cancer therapy. Extensive investigations into circRNAs reveal their diverse roles, ranging from molecular regulators to pivotal influencers of ferroptosis in cancer cell lines. The results underscore the significance of circRNAs in modulating molecular pathways that impact crucial aspects of cancer development, including cell survival, proliferation, and metastasis. A detailed analysis delineates these pathways, shedding light on the molecular mechanisms through which circRNAs influence ferroptosis. Building upon recent experimental findings, the study evaluates the therapeutic potential of targeting circRNAs to induce ferroptosis. By identifying specific circRNAs associated with the etiology of cancer, this analysis paves the way for the development of targeted therapeutics that exploit vulnerabilities in cancer cells. This review consolidates the existing understanding of ferroptosis and circRNAs, emphasizing their role in cancer therapy and providing impetus for ongoing research in this dynamic field.

Abstract Background Water stress is a major danger to crop yield, hence new approaches to strengthen plant resilience must be developed. To lessen the negative effects of water stress on wheat plants, present study was arranged to investigate the role of synergistic effects of biochar, trans-zeatin riboside (t-ZR), and Azospirillum brasilense on soil improvement and enzymatic activity in water-stressed wheat. Results In a three-replication experiment comprising of four treatments (T0: Control, T1: Drought stress (DS), T2: DS + t-ZR with biochar, T3: DS + A. brasilense with biochar), we observed notable improvements in soil quality and enzymatic activities in water-stressed wheat plants with the application of t-ZR and A. brasilense with biochar. In drought stress, Treatment having the application of A. brasilense with biochar performs best as compared to the other and significant increased the enzymatic activities such as peroxidase (7.36%), catalase (8.53%), superoxide dismutase (6.01%), polyphenol oxidase (14.14%), and amylase (16.36%) in wheat plants. Different enzymatic activities showed different trends of results. Soil organic C, dissolved organic C, dissolved organic N also enhanced 29.46%, 8.59%, 22.70% respectively with the application of A. brasilense with biochar under drought stress condition. Conclusions The synergistic action of A. brasilense and biochar creates an effective microbiological environment that supports essential plant physiological processes during drought stress. This enhancement is attributed to improved soil fertility and increased organic matter content, highlighting the potential of these novel strategies in mitigating water stress effects and enhancing crop resilience.

Abstract The world suffers from the acute respiratory syndrome COVID-19 pandemic, which will be scary if other co-existing illnesses exacerbate it. The co-occurrence of the COVID-19 virus with kidney disease has not been available in the literature. So, further research needs to be conducted to reveal the transmission dynamics of COVID-19 and kidney disease. This study aims to create mathematical models to understand how COVID-19 interacts with kidney diseases in specific populations. Therefore, the initial step was to formulate a deterministic Susceptible-Infected-Recovered (SIR) mathematical model to depict the co-infection dynamics of COVID-19 and kidney disease. A mathematical model with seven compartments has been developed using nonlinear ordinary differential equations. This model incorporates the invariant region, disease-free and endemic equilibrium, along with the positivity solution. The basic reproduction number, calculated via the next-generation matrix, allows us to assess the stability of the equilibrium. Sensitivity analysis is also utilised to understand the influence of each parameter on disease spread or containment. The results show that a surge in COVID-19 infection rates and the existence of kidney disease significantly enhances the co-infection risks. Numerical simulations further clarify the potential outcomes of treating COVID-19 alone, kidney disease alone, and co-infected cases. The study of the potential model can be utilised to maximise the benefits of simulation to minimise the global health complexity of COVID-19 and kidney disease.