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Biosensors have undergone transformative advancements, evolving into sophisticated wearable and implantable devices capable of real-time health monitoring. Traditional manufacturing methods, however, face limitations in scalability, cost, and design complexity, particularly for miniaturized, multifunctional biosensors. The integration of 3D printing technology addresses these challenges by enabling rapid prototyping, customization, and the production of intricate geometries with high precision. This review explores how additive manufacturing techniques facilitate the fabrication of flexible, stretchable, and biocompatible biosensors. By incorporating advanced materials like conductive polymers, nanocomposites, and hydrogels, 3D-printed biosensors achieve enhanced sensitivity, durability, and seamless integration with biological systems. Innovations such as biodegradable substrates and multi-material printing further expand applications in continuous glucose monitoring, neural interfaces, and point-of-care diagnostics. Despite challenges in material optimization and regulatory standardization, the convergence of 3D printing with nanotechnology and smart diagnostics heralds a new era of personalized, proactive healthcare, offering scalable solutions for both clinical and remote settings. This synthesis underscores the pivotal role of additive manufacturing in advancing wearable and implantable biosensor technology, paving the way for next-generation devices that prioritize patient-specific care and real-time health management.

Global temperature rise has become a critical challenge to agricultural sustainability, severely affecting crop growth, productivity, and survival. Human-induced climate change and greenhouse gas emissions cause heat stress, disrupting plant metabolism and physiology at all developmental stages from germination to harvest. Elevated temperatures during germination impair water uptake, enzyme activity, and energy metabolism, leading to poor or uneven seedling emergence. At key phases such as flowering and grain filling, heat stress limits photosynthesis and transpiration by inducing stomatal closure, restricting carbon dioxide intake, and reducing photosynthetic efficiency. The reproductive stage is particularly vulnerable to high temperatures, impairing pollen viability, preventing anther dehiscence, and reducing fertilization success. Membrane instability further accelerates chlorophyll degradation and leaf senescence. Heat stress also alters biochemical and hormonal balances by disrupting the synthesis and signaling of auxins, gibberellins, and abscisic acid (ABA). Elevated ABA promotes stomatal closure to enhance stress tolerance, while increased ethylene levels trigger premature leaf senescence and abscission. These hormonal shifts and oxidative stress hinder plant growth and reproduction, threatening global food security. Although plants employ adaptive mechanisms such as heat shock protein expression and stress-responsive gene regulation, current strategies remain inadequate, highlighting the urgent need for innovative approaches to improve crop resilience under rising temperatures.

Genetic variant(s) of concern (VoC) of SARS-CoV-2 have been emerging worldwide due to mutations in the gene encoding spike glycoprotein. We performed comprehensive analyses of spike protein mutations in the significant variant clade of SARS-CoV-2, using the data available on the Nextstrain server. We selected various mutations, namely, A222V, N439K, N501Y, L452R, Y453F, E484K, K417N, T478K, L981F, L212I, N856K, T547K, G496S, and Y369C for this study. These mutations were chosen based on their global entropic score, emergence, spread, transmission, and their location in the spike receptor binding domain (RBD). The relative abundance of these mutations was mapped with global mutation D614G as a reference. Our analyses suggest the rapid emergence of newer global mutations alongside D614G, as reported during the recent waves of COVID-19 in various parts of the world. These mutations could be instrumentally imperative for the transmission, infectivity, virulence, and host immune system’s evasion of SARS-CoV-2. The probable impact of these mutations on vaccine effectiveness, antigenic diversity, antibody interactions, protein stability, RBD flexibility, and accessibility to human cell receptor ACE2 was studied in silico. Overall, the present study can help researchers to design the next generation of vaccines and biotherapeutics to combat COVID-19 infection.

The suboptimal efficacies of existing anti-malarial drugs attributed to the emergence of drug resistance dampen the clinical outcomes. Hence, there is a need for developing novel drug and drug targets. Recently silver nanoparticles (AgNPs) constructed with the leaf extracts of Euphorbia cotinifolia were shown to possess antimalarial activity. Therefore, the synthesized AgNPs from Euphorbia cotinifolia (EcAgNPs) were tested for their parasite clearance activity. We determined the antimalarial activity in the asexual blood stage infection of 3D7 (laboratory strain) P. falciparum. EcAgNPs demonstrated the significant inhibition of parasite growth (EC50 of 0.75 µg/ml) in the routine in vitro culture of P. falciparum. The synthesized silver nanoparticles were seen to induce apoptosis in P. falciparum through increased reactive oxygen species (ROS) ROS production and activated programmed cell death pathways characterized by the caspase-3 and calpain activity. Also, altered transcriptional regulation of Bax/Bcl-2 ratio indicated the enhanced apoptosis. Moreover, inhibited expression of PfLPL-1 by EcAgNPs is suggestive of the dysregulated host fatty acid flux via parasite lipid storage. Overall, our findings suggest that EcAgNPs are a non-toxic and targeted antimalarial treatment, and could be a promising therapeutic approach for clearing malaria infection.

Comprehensive collisional radiative (CR) models have been developed for the diagnostic of argon plasma using Ar and Ar+ emission lines. The present CR models consist of 42 and 114 fine-structure levels of Ar and Ar+, respectively. Various populating and depopulating mechanisms are incorporated in the model. A complete set of electron-impact fine-structure resolved excitation cross-sections for different excited levels in Ar and Ar+ are used, which are obtained by employing relativistic distorted wave theory. Along with this, the electron-impact ionization, radiation trapping, diffusion, and three-body recombination are also considered. Further, to demonstrate the applicability of the present CR model, we applied it to characterize the Helicon-plasma utilizing the optical emission spectroscopy measurements. The key plasma parameters, such as electron density and electron temperature, are obtained using their measured Ar and Ar+ emission line intensities. Our results are in reasonable agreement with their anticipated estimates. The matching of our calculated intensities of the different Ar and Ar+ lines shows excellent agreement with the measured intensities at various powers.

In recent years, increasing consumer demand for organic food and chemical free agricultural products has driven a shift toward microbial‐based approaches, which are being adopted to replace traditional agrochemicals, used for nutrient supplementation and protection against plant pathogens. Arbuscular mycorrhizal fungi (AMF) can form symbiotic associations with up to 80% of plant roots, are widely employed as bio stimulants, biofertilizers, or biopesticides to improve agricultural productivity. Currently, a range of AMF strains are commercially produced and applied as soil inoculants to improve agricultural yields. Although the effectiveness of these inoculants depends on multiple factors, including the selection of AMF strains, choice of carrier materials and methods of application. In addition, production strategies play a critical role in determining both the concentration and the viability of the inoculum. Despite significant technological advancements, only a limited number of AMF strains have been commercially exploited as inoculants. Thus, the present review aims to briefly discuss the latest aspects of AMF biology, their functional role in abiotic and biotic stress management. Furthermore, this review paper also discusses different production strategies and highlights the challenges associated with the commercialization of AMF inoculants, including limited strain diversity, propagule viability, formulation stability, and inconsistent field performance. Explore the molecular mechanism of AMF and Plant symbiosis. Briefly discussed the AMF mediated biotic and abiotic stress management. The review explores the latest production strategies and application challenges of AMF. Discuss how the commercial success of AMF inoculants depends upon several factors

COVID‐19 mainly affects the lungs and in severe cases may lead to acute respiratory distress syndrome (ARDS) and pneumonia. Surprisingly, COVID‐19 can affect even the vaccinated population suggesting immune escape of the SARS‐CoV‐2 variants. Immunomodulatory approaches may modulate the immune response reducing lung inflammation and lessen the chances of an infected person developing ARDS or pneumonia. However, these approaches should be employed wisely based on the severity of the disease and where the benefits are greater than the risk involved.

Background: A measurable burden to the emergency ophthalmology department is represented by ocular trauma in pediatric patients. Traumatic cataracts still result in visual disability despite great advancements in diagnostic and treatment methods. Cataract surgery with intraocular lens (IOL) implantation aids in the improvement of visual acuity in such cases. Duration of trauma is an important prognostic factor for recovery of visual acuity before amblyopia sets in young patients with penetrating ocular injury. Purpose: This video deals with the management of a case of partially absorbed traumatic cataract in a scenario of an old and neglected penetrating injury. This case had a corneal scar, ruptured anterior lens capsule, and posterior synechiae formation between the posterior pigmented epithelium of the iris and the lens capsule. Synopsis: In a case of penetrating ocular injury, one should always suspect violation of posterior lens capsule, weakened or broken zonules and retained intraocular foreign body. In this case, a circular capsulorhexis is difficult to attain. After staining the capsule with trypan blue dye, viscoelastic substance is instilled in the anterior chamber to have good control over the rhexis and to avoid rhexis run out. In case the rhexis runs off to the equator, a pair of Vannas scissors is used to cut the extended flap. The cataract is partially absorbed ,white and soft in nature and is easily mobilized from the bag and eaten up via phacoaspiration. Before implantation of posterior chamber intraocular lens (PCIOL) in the sulcus, posterior synechiae are released by swiping a cyclodialysis spatula in the sulcus area. Visual axis is cleared by giving nicks in the posterior capsule to remove the central dense posterior plaque. Automated anterior vitrectomy is done and a three-piece PCIOL is implanted safely in the ciliary sulcus. Retained viscoelastic substance is washed, intracameral antibiotic is instilled, and the anterior chamber is subsequently formed via stromal wound hydration. Highlights: Through this video, we tried to show how one should proceed with phacoaspiration with intraocular lens implantation in a case of traumatic cataract post penetrating injury in a sequential manner. Video Link: https://youtu.be/20DbYUn_Fd8 Key words: Capsulorhexis, phacoaspiration, vitrectomy

The Lower Kosi Basin (LKB) in North Bihar is highly prone to floods and is influenced by upstream hydrology. A flood susceptibility index has been modelled by integrating eleven flood conditioning parameters (precipitation, elevation, slope, drainage density, distance from the river, ruggedness index, topographic wetness index, stream power index, curvature, normalized difference vegetation index, land use and land cover) derived from the satellite data, using a weighted linear summation model. The study uses Sentinel-1 synthetic aperture radar data to estimate flood frequency over a temporal scale of 2016–2020. The flood frequency was used to validate the flood susceptibility derived using multi-criteria decision making methods combined with geographical information system (MCDM-GIS). The study shows that ~ 66% of the area in LKB is susceptible to high to moderate flooding while the remaining ~ 34% is falls in the low flooding category. 15.24% of the area has high frequency (> 3 flood occurrences) of the flood, 9.66% has moderate (2 flood occurrences) and 9.72% of the area faced one-time flood during five years of period (2016–2020). The accuracy of MCDM-GIS derived flood susceptibility map was assessed using area under curve, confusion matrix, precision, recall, F1 score, weighted F1 score and overall accuracy.