Search

Abstract This study has been carried out using a novel mathematical model on the dynamics of tuberculosis (TB) transmission considering vaccination, endogenous re-activation of the dormant infection, and exogenous re-infection. We can comprehend the behavior of TB under the influence of vaccination from this article. We compute the basic reproduction number ( $${\mathcal {R}}_0$$ R 0 ) as well as the vaccination reproduction number ( $${\mathcal {R}}_v$$ R v ) using the next-generation matrix (NGM) approach. The theoretical analysis demonstrates that the disease-free equilibrium point is locally asymptotically stable, and the fractional order system is Ulam–Hyers type stable. We perform numerical simulation of our model using the Adams-Bashforth 3-step method to verify the theoretical results and to show the model outputs graphically. By performing data fitting, we observe that our formulated model produces results that closely match real-world data. Our findings indicate that vaccinating a limited segment of the population can effectively eradicate the disease. The numerical simulations also show that vaccination can reduce the number of susceptible and infectious individuals in the population. Moreover, the graphical representations illustrate that the number of infected individuals rises due to both exogenous reinfection and endogenous reactivation.

Abstract Numerous neurological disorders are linked to sequences rich in guanine repeats found in introns, exons, and regulatory regions of genes. These sequences have been observed to form stable G-quadruplex (GQ) structures both in vitro and in vitro. Cerebellar Ataxia with Neuropathy and Vestibular Areflexia Syndrome (CANVAS), a slowly progressive neurodegenerative disorder, is associated with the biallelic expansion of (AAGGG)n pathogenic repeats in the second intron of the RFC1 gene. Though these G-rich pathogenic repeats in other neurological diseases are associated with protein loss of function, RNA gain of function, and/or protein gain of function, not much is known about the pathological mechanism associated with CANVAS. Herein, we report the formation of stable GQ conformations in the CANVAS-associated repeats i.e., r(AAGGG)n, where ‘r’ stands for RNA. These GQs are critical regulators in neurological disorders leading to RNA foci formation and RNA binding protein sequestration. They also alter other causative processes like intron retention, which leads us to hypothesize a toxic Proteinopathy mechanism in CANVAS. Various biophysical and biomolecular assays characterized the interactions of three aggregation-prone RNA-binding proteins (RBPs): heterogeneous nuclear ribonucleoprotein H1/F (hnRNP H1/F), and DGCR8 with different pathogenic repeats [(AAGGG)9] in vitro, further affirming the hypothesis. The biophysical observations are further supported by molecular dynamics analysis and cell-based studies, putting us a step closer to elucidating the pathological mechanism(s) in CANVAS neuropathy, paving the way for the development of innovative therapeutic interventions.

Abstract Conventional pre-genomics breeding methodologies have significantly improved crop yields since the mid-twentieth century. Genomics provides breeders with advanced tools for whole-genome study, enabling a direct genotype–phenotype analysis. This shift has led to precise and efficient crop development through genomics-based approaches, including molecular markers, genomic selection, and genome editing. Molecular markers, such as SNPs, are crucial for identifying genomic regions linked to important traits, enhancing breeding accuracy and efficiency. Genomic resources viz. genetic markers, reference genomes, sequence and protein databases, transcriptomes, and gene expression profiles, are vital in plant breeding and aid in the identification of key traits, understanding genetic diversity, assist in genomic mapping, support marker-assisted selection and speeding up breeding programs. Advanced techniques like CRISPR/Cas9 allow precise gene modification, accelerating breeding processes. Key techniques like Genome-Wide Association study (GWAS), Marker-Assisted Selection (MAS), and Genomic Selection (GS) enable precise trait selection and prediction of breeding outcomes, improving crop yield, disease resistance, and stress tolerance. These tools are handy for complex traits influenced by multiple genes and environmental factors. This paper explores new genomic technologies like molecular markers, genomic selection, and genome editing for plant breeding showcasing their impact on developing new plant varieties.

Abstract The current investigation was undertaken to elucidate the population-stratifying and ancestry-informative markers in Indian, Chinese, and wild yak populations using whole genome resequencing (WGS) analysis while employing various selection strategies (Delta, Pairwise Wright’s Fixation Index - F ST , and Informativeness of Assignment) and marker densities (5–25 thousand). The study used WGS data on 105 individuals from three separate yak cohorts i.e., Indian yak (n = 29), Chinese yak (n = 61), and wild yak (n = 15). Variant calling in the GATK program with strict quality control resulted in 1,002,970 high-quality and independent (LD-pruned) SNP markers across the yak autosomes. Analysis was undertaken in toolbox for ranking and evaluation of SNPs (TRES) program wherein three different criteria i.e., Delta, Pairwise Wright’s Fixation Index-F ST , and Informativeness of Assignment were employed to identify population-stratifying and ancestry-informative markers across various datasets. The top-ranked 5,000 (5K), 10,000 (10K), 15,000 (15K), 20,000 (20K), and 25,000 (25K) SNPs were identified from each dataset while their composition and performance was assessed using different criteria. The average genomic breed clustering of Indian, Chinese, and wild yak cohorts with full density dataset (105 individuals with 1,002,970 markers) was 81.74%, 80.02%, and 83.62%, respectively. Informativeness of Assignment criterion with 10K density emerged as the best combination for three yak cohorts with 86.94%, 96.46%, and 98.20% clustering for Indian, Chinese, and wild yak, respectively. There was an average increase of 7.56%, 22.72%, and 30.35% in genomic breed clustering scores of Indian, Chinese, and wild yak cohorts over the estimates of the original dataset. The selected markers showed overlap multiple protein-coding genes within a 10 kb window including ADGRB3, ANK1, CACNG7, CALN1, CHCHD2, CREBBP, GLI3, KHDRBS2, and OSBPL10. This is the first report ever on elucidating low-density SNP marker sets with population-stratifying and ancestry-informative properties in three yak groups using WGS data. The results gain significance for application of genomic selection using cost-effective low-density SNP panels in global yak species.

Abstract Background Identifying therapeutic inhibitors of crucial enzymes involved in the peptidoglycan biosynthesis pathway is pivotal for developing new treatments against multidrug-resistant Enterococcus faecalis V583. MurM, an essential enzyme in this pathway, plays a significant role in the bacterium’s cell wall synthesis, making it an attractive druggable target for novel antimicrobial strategies. This study explored the potential of natural compounds as inhibitors of MurM, aiming to discover promising drug candidates that could serve as the foundation for future therapeutic development. Methods The three-dimensional structure of MurM was predicted, optimized, and its binding pocket was analyzed by comparing it with related structures. Over 4,70,000 natural compounds from the COCONUT database were subjected to virtual high-throughput screening (vHTS). The top lead candidates were selected based on their Lipinski’s profile, ADME profile, toxicity profile, estimated binding free energy (ΔG) and estimated inhibition constant (Ki). Interaction pattern analysis was used to evaluate the non-covalent interactions between the inhibitors and key residues in MurM’s binding pocket. Molecular dynamics simulations were performed over 300 ns to assess the structural stability and impact of these inhibitors on MurM’s enzyme. Results Three lead compounds—CNP0056520, CNP0126952, and CNP0248480—were identified and prioritized with estimated ΔG ranging from − 9.35 to -7.9 kcal/mol. Molecular dynamics simulations revealed minimal impact on MurM’s overall structure and dynamics, with the candidate inhibitors forming stable protein-ligand complexes. These interactions were supported by several non-covalent interactions between the candidate inhibitors and key residues within MurM’s binding pocket. Conclusion These findings suggest that the identified natural product candidates could serve as promising inhibitors of MurM, potentially leading to novel therapeutics targeting cell wall biosynthesis in multidrug-resistant E. faecalis.

Societal Impact Statement Understanding domestication's impact on crop root traits and interactions with soil microbiomes is vital for improving crop resilience and agricultural sustainability. Using this knowledge to enhance root systems, reduce chemical inputs, and adapt crops to environmental stress will help to increase global food production, promote eco‐friendly farming, and mitigate the effects of climate change. Additionally, identifying microorganisms specific to plant species may help in biodiversity conservation. Advancing scientific understanding and educating future generations on the intricate relationships between plants, soil, and microorganisms is integral to developing innovative, sustainable agricultural practices and improved food security. Summary Domestication and intensive management practices have significantly shaped characteristics of modern crops. However, our understanding of domestication's impact had mainly focused on aboveground plant traits, neglecting root and rhizospheric traits, as well as trait–trait interactions and root‐microbial interactions. To address this knowledge gap, we grew modern (Hordeum vulgare L. var. Barke) and wild barley (Hordeum spontaneum K. Koch var. spontaneum) in large rhizoboxes. We manipulated the soil microbiome by comparing disturbed (sterilized soil inoculum, DSM) versus non‐disturbed (non‐sterilized inoculum, NSM) microbiome. Results showed that modern barley grew faster and increased organic‐carbon exudation (OCEXU) compared to wild barley. Both barley species exhibited accelerated root growth and enhanced OCEXU under DSM, indicating their ability to partially compensate and exploit the soil resources independently of microbes if need be. Plant trait network analysis revealed that modern barley had a denser, larger, and less modular network of microbes than wild barley indicating domestication's impact on trait–trait coordination. In addition, the relative abundance of bacteria did not vary between wild and modern barley rhizospheres; however, species‐specific unique bacteria were identified, with stronger effects under DSM. Overall, our findings highlight domestication‐driven shifts in root traits, trait coordination, and their modulation by the soil microbiome.

Peer review is being criticized for its sluggishness and review quality. Swiftly identifying available reviewers and cultivating a pool of specialized experts is crucial to avoid delays and ensure a seamless peer review process. A promising strategy to enhance the quality of peer reviewers is to encourage and facilitate early career researchers (ECRs) to engage in co-reviewing with their mentors as part of their curriculum training. In addition, it holds significant potential to bridge gaps in research quality and discourage unethical ghostwriting of peer review reports. Encouraging co-reviewing practices in medical, dental, nursing, and other professional institutions will foster the development of critical skills, research awareness, mentorship, and collaborative abilities among ECRs. This paper proposes learning peer review modules in a two-step model, i.e., foundational learning and practical learning. Emphasizing peer review within the curriculum can be a significant and transformative step.

Abstract Energy efficiency plays an important role in intelligent networking for 5G networks, which concerns environmental, financial, and performance aspects of intelligent networking for 5G networks. To this end, network designers propose energy-efficient approaches to reduce energy consumption of networks and to raise network performance by switching off the links/nodes with low loads or at idle status. The existing energy-efficient approaches can be formulated as a max–min optimal problem, namely maximizing network/node/port throughput via minimum energy consumption. The max–min planning investigates energy efficiency only from the links/nodes perspective. The max–min planning for energy-efficient networking, if not carefully designed from the network-wide standpoint, can lead to lower energy efficiency for the whole network due to lack of global planning, which in turn results in the degraded performance due to network un-connectivity after closing the nodes/links. In this paper we rethink the max–min planning framework on energy-efficient software-defined networking for intelligent networking of 5G networks, which takes in account combining network connectivity and maximum network flow with minimum energy consumption. Our framework aims at how to deliver dynamic end-to-end traffic demands with the appropriate network topology by building data forwarding plane with maximum network flow and control plane with network connectivity. We discuss the associated challenges and implementation issues. A dynamic max–min planning framework depending on dynamic end-to-end traffic demands is presented to achieve network-wide energy efficiency. Numerical results show the improved energy efficiency performance for the whole network.

Abstract More than 10% of adults in the United States have type 2 diabetes mellitus (DM) with a 2–4 times higher prevalence of ischemic heart disease than the non-diabetics. Despite extensive research approaches to limit this life-threatening condition have proven unsuccessful, highlighting the need for understanding underlying molecular mechanisms. Long noncoding RNAs (lncRNAs), which regulate gene expression by acting as signals, decoys, guides, or scaffolds have been implicated in diverse cardiovascular conditions. However, their role in ischemic heart disease in DM remains poorly understood. We provide new insights into the lncRNA expression profile after ischemic heart disease in DM mice. We performed unbiased RNA sequencing of well-characterized type 2 DM model db/db mice or its control db/+ subjected to sham or MI surgery. Computational analysis of the RNA sequencing of these LV tissues identified several differentially expressed lncRNAs between (db/db sham vs. db/db MI) including Gm19522 and Gm8075. lncRNA Gm-19522 may regulate DNA replication via DNA protein kinases, while lncRNA Gm-8075 is associated with cancer gene dysregulation and PI3K/Akt pathways. Thus, the downregulation of lncRNAs Gm19522 and Gm8075 post-MI may serve as potential biomarkers or novel therapeutic targets to improve cardiac repair/recovery in diabetic ischemic heart disease.

Abstract Background Bilateral ocular surface disease resulting from Stevens Johnson Syndrome (SJS) and chemical injuries are visually debilitating and difficult to treat. Ocular surface reconstruction by various means has been reported with variable results. This study addresses an unmet need for a prospective clinical trial comparing the outcomes of transplanting autologous oral and conjunctival epithelial cell constructs on human amniotic membrane by ex vivo tissue engineering. Methods A prospective, randomized controlled clinical trial was prospectively applied for registration, with the clinical trial registry of India (CTRI), with the approval of the Institute Ethics Committee number IEC/NP-99/11.04.2014 and CTRI No. REF/2018/10/021791, the study also registered with the WHO-recognized trial registry, International Standard Randomised Controlled Trial Number (ISRCTN) registration reference number 45780. The study was conducted to compare clinical outcomes of two different tissue-engineered cell grafts, Cultivated Oral Mucosal Epithelial Transplantation (COMET) and Conjunctival Cultivated Epithelial Transplantation (CCET) for ocular surface reconstruction in patients with bilateral ocular surface disease due to Stevens-Johnson Syndrome or chemical injuries. Fifty patients were enrolled and randomized to either the COMET or CCET group. A uniform pre-op and post-op protocol using standard medications was followed for all patients Parameters assessed at baseline, day 1, 1 week, 2 weeks, 1 month, 2 months, 3 months and 6 months postoperatively included patient comfort, best corrected visual acuity (BCVA), ocular surface status and corneal clarity. The efficacy was measured in terms of improvement of vision, reduction in vascularization, symblepharon and corneal clarity. Results In the study, 50 patients (50 eyes; mean ages of 29 ± 15.86 years and 26.36 ± 10.85 years, respectively; range, 12–65 years) were enrolled, with 25 patients each in the COMET and CCET groups. Out of them, 36% were female and 64% were male; the causes were Steven Johnson syndrome (48), and chemical injury (2). Mean pre-operative BCVA was log MAR 1.73 ± 0.57 for COMET and 1.99 ± 0.33 for the CCET group. Pre-operatively all 50 enrolled patients had opaque corneas pre-operatively, symblepharon that extended to the cornea categorised as grade 3 and corneal vascularization that went beyond the pupil’s boundary into the central zone encluaching on the visual axis. The minimal follow-up time was six months. Following surgery postoperatively, the BCVA considerably improved in the COMET group by 1.51 ± 0.58 compared to the CCET group by 1.91 ± 0.33 at 3 months. BCVA at 6 months was 1.73 ± 0.56 in the COMET group and 1.99 ± 0.31 in the CCET group, which is not statistically significant and comparable to the BCVA before surgery. The corneal clarity was significantly improved in COMET group 25 eye (100%) at 2 month, 3month and 19 eye (76%), 6eye (24%) at 6 months when compared to CCET group 15 eye improved (60%), 9 eyes (36%) not improved and one eye with opaque cornea (4%) at 2 months. 22 eye (88%) had not improved, 2 eye (8%) opaque cornea and 1 eye (4%) improved at 3 months. At 6 months 21 eye (84%) were not improved, 4 eye (16%) eye became opaqued at 6 months. Compared to preoperative conditions, both groups had improved corneal clarity significantly (p > 0.005). Of the 50 patients with grade 3 symblepharon extended to the cornea, were completely resolved 19 (76%) in COMET group when compared to CCET group 22 eye (88%) not improved. Similarly, 19 eye (76%) had a improvement in corneal vascularization when compared to the CCET group not improved 25 eye (100%) at 6months. No adverse event was observed in any of either group during the follow up periods. Conclusion Both cell types are effective to restore the ocular surface integrity in bilateral ocular surface disease. Whereas COMET is safe and efficacious in terms of improvement of clinical parameters including, BCVA, corneal clarity, reduction in vascularization and preventing the recurrence of symblepharon postoperatively 3months and 6 months. In addition, the CCET group maintained the stability of the ocular surface and had improvement in corneal clarity and a decrease in vascularization at 3 months compared to their pre-operative characteristics.

Abstract Background Rheumatoid arthritis is a chronic autoimmune disease affecting millions of people across the world. Trayodashang guggulu (TG) is a classical Ayurvedic formulation used for the treating joint diseases since decades in the Indian system of traditional medicine. The aim of the study was to evaluate anti-arthritic activity of TG against complete Freund’s adjuvant-induced arthritis in Wistar rats. Methods Arthritis was induced by single injection of 0.1 ml complete Freund’s adjuvant into the intraplanter surface of left hind paw of Wistar rats. TG was administered orally at the doses of 100, 200, 400 and 800 mg/kg body weight for 14 days. In the preventive dose group, TG was administered at the dose of 100 mg/kg body weight, orally for 28 days. Paw swelling, joint circumference, serum rheumatoid factor, C-reactive protein, serum IL-1β, TNF-α and histopathological parameters were assessed for the evaluation of arthritis. Effects of TG were compared with standard allopathic drug ibuprofen. Results TG reversed complete Freund’s adjuvant-induced arthritis in rats when used for 14 and 28 days. Serum rheumatoid factor, C-reactive protein, IL-1β and TNF-α were decreased in rats treated with both standard drug ibuprofen and TG. Conclusion Oral administration of TG reduced experimentally induced rheumatoid arthritis in rats by reversing elevated level of serum biochemical markers as well as reducing joint destruction similar to ibuprofen. Results obtained from the study paved the way in exploring more specific mechanisms of action of TG involving in vitro and in silico models.

Abstract The μ-opioid receptor (μOR), a prototypical G protein-coupled receptor (GPCR), is the target of opioid analgesics such as morphine and fentanyl. Due to the severe side effects of current opioid drugs, there is considerable interest in developing novel modulators of μOR function. Most GPCR ligands today are small molecules, however biologics, including antibodies and nanobodies, represent alternative therapeutics with clear advantages such as affinity and target selectivity. Here, we describe the nanobody NbE, which selectively binds to the μOR and acts as an antagonist. We functionally characterize NbE as an extracellular and genetically encoded μOR ligand and uncover the molecular basis for μOR antagonism by determining the cryo-EM structure of the NbE-μOR complex. NbE displays a unique ligand binding mode and achieves μOR selectivity by interactions with the orthosteric pocket and extracellular receptor loops. Based on a β-hairpin loop formed by NbE that deeply protrudes into the μOR, we design linear and cyclic peptide analogs that recapitulate NbE’s antagonism. The work illustrates the potential of nanobodies to uniquely engage with GPCRs and describes lower molecular weight μOR ligands that can serve as a basis for therapeutic developments.

Abstract Nanomedicine has the potential to transform healthcare by offering targeted therapies, precise diagnostics, and enhanced drug delivery systems. The National Institutes of Health has coined the term "nanomedicine" to describe the use of nanotechnology in biological system monitoring, control, diagnosis, and treatment. Nanomedicine continues to receive increasing interest for the rationalized delivery of therapeutics and pharmaceutical agents to achieve the required response while reducing its side effects. However, as nanotechnology continues to advance, concerns about its potential toxicological effects have also grown. This review explores the current state of nanomedicine, focusing on the types of nanoparticles used and their associated properties that contribute to nanotoxicity. It examines the mechanisms through which nanoparticles exert toxicity, encompassing various cellular and molecular interactions. Furthermore, it discusses the assessment methods employed to evaluate nanotoxicity, encompassing in-vitro and in-vivo models, as well as emerging techniques. The review also addresses the regulatory issues surrounding nanotoxicology, highlighting the challenges in developing standardized guidelines and ensuring the secure translation of nanomedicine into clinical settings. It also explores into the challenges and ethical issues associated with nanotoxicology, as understanding the safety profile of nanoparticles is essential for their effective translation into therapeutic applications.

Ganglionic cysts are benign soft-tissue lesions with unclear etiology and pathogenesis commonly occurring on the wrists and hands. Although their diagnosis and management in these characteristic locations are easy, rare occurrences in atypical locations are difficult to diagnose. Ultrasonography and magnetic resonance imaging (MRI) are helpful in diagnosing and differentiating a ganglionic cyst from other soft-tissue lesions. Here, we report a case of 60-year-old male patient with intramuscular ganglionic cyst, measuring 68×41×48 mm, arising in the extensor digitorum muscle of the left leg, which was diagnosed using MRI and treated using excision and biopsy.

This study investigates the use of computational frameworks for sepsis. We consider two dimensions for investigation – early diagnosis of sepsis (EDS) and mortality prediction rate for sepsis patients (MPS). We concentrate on the clinical parameters on which sepsis diagnosis and prognosis are currently done, including customized treatment plans based on historical data of the patient. We identify the most notable literature that uses computational models to address EDS and MPS based on those clinical parameters. In addition to the review of the computational models built upon the clinical parameters, we also provide details regarding the popular publicly available data sources. We provide brief reviews for each model in terms of prior art and present an analysis of their results, as claimed by the respective authors. With respect to the use of machine learning models, we have provided avenues for model analysis in terms of model selection, model validation, model interpretation, and model comparison. We further present the challenges and limitations of the use of computational models, providing future research directions. This study intends to serve as a benchmark for first-hand impressions on the use of computational models for EDS and MPS of sepsis, along with the details regarding which model has been the most promising to date. We have provided details regarding all the ML models that have been used to date for EDS and MPS of sepsis.

The study is on the cost dynamics which is concerned with finite queues in particular to susceptibility to server outages, threshold-driven recovery and Catastrophic events, but main focus is on balking behaviour of the customers. A thorough investigation of the financial implications of interruptions and efficacy to recovery strategies is done and to alleviate the impact of breakdowns, disasters and customer refusals the queue system designs through empirical research is conducted. Various recovery policies have been compared with the existing thresholds, and the study further endeavors to categorize the cost-effective approach to mitigate the economic concerns of server failures and catastrophic incidents. The study brings discernments on the expected development in the management of the queuing system along with the assistance in complete decision-making in cost efficiency and enhancement of the complete system performance.

In contemporary society, proper waste management is a critical issue that needs to be addressed. Waste management encompasses the collection, transportation, segregation and disposal of waste material to minimize health risks and environment impact. Manual segregation, along with other methods of waste segregation, is often inefficient and time consuming. To address this challenge, numerous industries have embraced automation in waste sorting to expedite the process through advanced technological interventions. Therefore, the optimal functioning of the components of these automated systems is crucial for rapid and accurate segregation of waste. This work is oriented toward the study of a system which is used to segregation of waste and known as waste sorting robotic arm system (WSRAS). Author used Markov decision process, along with mathematical modeling, to evaluate the different performance measure of WSRAS. Sensitivity analysis have also been done to understand the contribution of different components failure in overall performance of WSRAS.

Due to a combination of increased urbanization, industrialization, and population growth, many pharmaceutical pollutants are currently being discharged into the environment. A possible strategy is critical for eliminating antibiotic pollutants from the environment, and photocatalysis has been generally recognized as an excellent method for successfully degrading antibiotics at a faster pace. In this work, we employed a hydrothermal synthesis approach to create a novel C3N5/NiCo2S4 Z-scheme-based heterojunction with better interfacial charge transfer and used it as a catalyst for the degradation of norfloxacin antibiotic. The optimized 1:1 C3N5/NiCo2S4 (50CN/NCS) shows the highest photocatalytic efficiency of 86.5% in 120 min towards the degradation of norfloxacin (NOR). Such an effective performance can be attributed to the high responsive nature of photocatalyst in the visible region and superior transfer of interfacial charges via Z-scheme transfer in heterojunction. The high charge transfer efficiency and reduced recombination of charge carriers in heterojunction was confirmed by EIS and PL results. The influence of some key factors such as pollutant concentration, catalyst dosage, pH, and coexisting ions on the photocatalytic activity is also investigated in this work. The optimized heterojunction 50CN/NCS also degraded 89.1%, 78.3%, and 93.2% removal of the other pollutants CIP, SDZ, and BPA, respectively.

Background: Fistula-in-ano is a chronic phase of anorectal suppuration characterized by purulent discharge. The conventional gold standard fistulotomy opens the entire track to heal with secondary intention. Anal fistula plug (AFP) is one of the newer modalities where the track is debrided from within and plugged with a biodegradable material made of porcine small intestinal submucosa. MATERIALS AND METHODS: A total of 100 patients were enrolled in a randomized prospective study into two groups: conventional fistulotomy (CF) group and AFP group with 50 patients in each arm. The demography and surgical outcomes were assessed for postoperative pain, discharge and recovery, and failure. Results: All 100 patients included in the study had a history of anorectal suppuration which led to the residual anal fistula. Postoperative pain and analgesic requirements were equal in the two groups. The recovery period and return to work were shorter in the AFP group, and this difference was statistically significant. The success rate was 100% in the CF group as compared to 76% in the AFP group. There was no significant complication, failure, or recurrence in the CF group as against allergy (1), extrusion of plug (2), and failure/recurrence (9) in the AFP group. Conclusion: Our study shows that the application of bioprosthetic plugs may be an alternative option in a select group of patients. AFP has also shown to have a faster recovery with less morbidity and comparable success rates.

Introduction: Any significant changes in the growth and development of any aspect of life will ultimately affect the health-related quality of life (HRQOL) of children with nephrotic syndrome. Various factors can influence treatment adherence, which can promote or decline the child’s quality of life (QOL). Objective: To assess the quality of life and adherence to treatment regimen and to identify the predictors of QOL and adherence to treatment regimen among children with nephrotic syndrome. Method: A cross-sectional study was conducted among 59 children with nephrotic syndrome who attended the Paediatric Department of AIIMS, Bhubaneswar, using the PedsQL 4.0 generic core scale to assess the quality of life and adherence response scale. Both descriptive and inferential statistics were performed using the SPSS 20 version. Results: The overall QOL median score was 93.48, with an IQR of 18.48, which indicated good QOL. A median score of treatment adherence was 16 with IQR 5, which indicated that the overall treatment adherence was good. Type of nephrotic syndrome (P = 0.014), developmental stage (P = 0.018), education of mother (P = 0.026), and occupation of mother (P = 0.026) were the variables predicted QOL. Duration of disease (P = 0.006) and duration of therapy (P = 0.005) significantly predicted treatment adherence. Conclusion: Children need continuous reinforcement on treatment adherence strategies to attain and maintain good QOL so that it can help to reduce the disease severity. Controlling the predictors that influence the QOL and treatment adherence has to be counseled among the parents so that their adherence can be sustained throughout the disease process to maintain good QOL.

Background: Parents and families have a role to play in helping children develop healthy behaviours that will carry over into adulthood. The sugary drink and fruit juice consumption is significantly related to unhealthy weight gain in childhood. Hence, this study was planned to assess parental knowledge, attitudes, and practices about juice and sugar-sweetened beverages (SSBs) among parents of children (2–24 months) and identify factors that contribute to their early introduction. Methods and Material: A cross-sectional study was conducted on 400 children-parent dyads (2–24 months). A questionnaire regarding the knowledge and attitudes about initiating fruit juice and SSB among children was prepared with 6 statements that were validated for contents by two subject experts. Each of the questions was designed to be answered on a Five-point Likert-type scale. STATA 14.2 version was used to analyse data. Results: Out of 400, 14 (26.9%) and 125 (68%) parents planned to introduce SSBs and juices respectively in the first year life of their child. None of the parents had an excellent knowledge score. There was no significant difference reported between parents with less than high school and those with high school/graduation educated in their intention to introduce juice and SSBs (P = 0.68) to their babies in the first year of life and about its knowledge (P = 0.82). Most parents with lower socio-economic status (58.6%) showed less likeliness to introduce juices and SSBs to their child’s diet as reflected by a statistically significant (P = 0.01) knowledge score. Conclusion: There was a knowledge gap among parent’s of children irrespective of their education level and socio-economic status.

Mixed connective tissue disease (MCTD) is one of the rarest connective tissue diseases. Incidence is around 2–3 cases per 100,000 people. The diagnosis is often difficult due to multiple diagnostic criteria and overlapping features with other connective tissue diseases such as systemic lupus erythematosus, systemic sclerosis, and juvenile idiopathic arthritis (JIA). An accurate diagnosis is important for proper treatment and follow-up. We report two pediatric cases, who initially presented with common diseases such as nephrotic syndrome and JIA, but later turned out to have MCTD after completing the workup. Both patients had strongly positive anti-U1-ribonucleoprotein (RNP) antibodies. The first patient had features of Raynaud’s phenomenon as supportive evidence of MCTD. The second patient had hand edema, aseptic meningitis, and myositis as the supporting evidence in addition to clinical features and strongly positive anti-U1-RNP antibodies. Both patients showed good improvement after proper treatment and are under our follow-up.

INTRODUCTION: Renal disorders are becoming increasingly common today. There is a clear correlation between social and economic deprivation and the advancement of many kidney illnesses, as well as premature death. OBJECTIVE: The objective is to reveal trends in the prevalence of renal diseases among the population below the poverty line (BPL) using the Karnataka method. METHODS: The current study is based on the data available on the government-managed website containing details about people who received treatment for several renal diseases under various government health insurance schemes by the BPL population from 2010 to 2020 in Karnataka state, South India. RESULTS: Renal calculi, enlarged prostate, and bladder calculus are the most common renal disorders among BPL communities in the age group of 20–40 years. Regarding renal calculi, there is a consistent increase in cases from 563 in 2010–2011 to a peak of 3901 in 2020–2021, indicating a continuous upward trend. Fluctuations are observed in the case of an enlarged prostate, with variations in the number of cases each passing year. Bladder calculus disease also shows an increasing trend, particularly evident from 2017 to 2018 onward. CONCLUSION: This study found the potential relationship between socioeconomic status and renal diseases among individuals in the BPL segment of Karnataka state. Renal disorders such as calculi, renal failure, and chronic kidney disease exhibit a rising trend over time, whereas diseases such as enlarged prostate and bladder calculus display fluctuations. The findings underscore the urgent necessity for targeted healthcare interventions and awareness programs tailored to BPL communities.

Abstract Background Reflux symptom index(RSI) and reflux finding score (RFS) are widely used scoring systems used to diagnose laryngopharyngeal reflux disease(LPRD). However many patients do visit the outpatient department with minimal symptoms not sufficient to fit the criteria described by Belafsky et al. for diagnosing LPRD. Most of these patients are provisionally diagnosed and treated for LPRD. Reflux symptom index(RSI) and reflux finding score (RFS) are widely used scoring systems used to diagnose(LPRD) (Belafsky PC et al., J Voice 16(2):274–7, 2002, Belafsky PC et al, Laryngoscope 111(8):1313–7, 2001). RSI has nine questions that the patient must grade from 0 to 5. An abnormal score is greater than 13. Laryngopharyngeal reflux (LPR) may or may not be diagnosed using the RSI and RFS especially when patients present with minimum symptoms not sufficient to score more than 13 and 7 respectively. These patients may miss the diagnosis and have to be treated empirically. Pepsin’s presence in the saliva is indicative of reflux as pepsin is a gastric enzyme (NICE advice on Peptest for diagnosing gastro-oesophageal reflux, 2015, Wood JM et al., J Laryngol Otol 125(12):1218–24, 2011). Patients with minimum symptoms may be missed if diagnosis relies only on RSI AND RFS. The present study aims to see the correlation of pepsin-proven LPRD and RSI and RFS. Methods This is a prospective study, 49 patients with symptoms suggestive of LPRD who tested positive for the pepsin test were further analysed for RSI and RFS. A cut-off value of > 25 ng/mL was considered diagnostic of LPRD (Dhillon VK et al., Curr Gastroenterol Rep 18(8):44, 2016). Result The average RSI and RFS were respectively 10 and 4. The mean age of the patients in the study was 39 years and the mean weight was 60 kg. The association between RSI and PEPSIN detection is considered to be not statistically significant. Chi-squared equals 0.086 with 1 degree of freedom. The two-tailed P value equals 0.7698. Chi-squared equals 0.233 with 1 degree of freedom. The two-tailed P value equals 0.6295. The association between RFS and PEPSIN detection is considered to be not statistically significant. In terms of correlation analysis, neither the RSI nor the RFS had Pearson’s correlation coefficient that was statistically significant. Conclusion Since salivary pepsin detection and the RSI do not have any significant correlation, the RSI is not a valid diagnostic method for LPR and should not be used exclusively. Level of evidence 4.

Abstract In this study, a novel N, S-co-doped carbon-based Ag3PO4 composite photocatalyst (N,S-Ag3PO4@ACB) was synthesized using activated biochar (ACB) as a carrier and used for the efficient removal of norfloxacin (NOR), a typical bio-refractory antibiotic. We systematically investigated the degradation effects, actual wastewater treatment, the impacts of environmental factors, and the degradation pathways. The results show that N,S-Ag3PO4@ACB is essentially a p-n heterojunction with Z-scheme of Ag2S/Ag3PO4/ACB composite containing Ag nanoparticles. After 120 min of irradiation, N,S-Ag3PO4@ACB removed 90.42% of an initial NOR concentration of 50 mg L–1. The activation of graphitic N and the lone electron pairs of N and S, promoted rapid photogenerated charge transfer. Furthermore, the surface properties of ACB promoted free radicals generation, and the surface plasmon resonance effect of the Ag nanoparticles synergistically enhanced the photocatalytic activity. A new degradation intermediate of NOR was identified, and the degradation dynamics were elucidated with three main pathways.

Slope failures in hilly terrain impact the social and economic balance of the community. The major reasons for these slope failures are steeper slopes, climate factors, seismic activity, nearby excavations, and construction. Natural slopes show significant heterogeneity due to the inherent randomness in material properties and geometric nonlinearities. Effective slope stability analysis solutions can be achieved by incorporating probabilistic approaches. We present a comprehensive method to develop and analyze a heterogeneous two-dimensional slope model, utilizing a non-linear-spatial-probabilistic-finite element method under a plane strain condition. The developed slope model encompasses geometrical and material nonlinearity with a uniform random distribution over the space. Also, the present slope model integrates the Mohr-Coulomb's constitutive model for elastoplastic analysis to capture more realistic and complex behavior. A benchmark soil slope problem was modeled using the spatial probabilistic finite element method, comprising all six material properties with uniform spatial uncertainties. These material properties are elastic modulus, unit weight, cohesion, friction angle, and dilation angle. During the numerical simulation, the detailed deformations, stress patterns, strain patterns, potential pre-failure zone, and failure characteristics of heterogeneous slopes were achieved under self-weight and step loading sequences. Nodal failure and probability of nodal failure were introduced as two novel quantitative parameters for more insights into failure investigations. The testbench slope model was subjected to self-weight load and external 100-step loading sequences with a loading increment of -0.1 kN/m. The percentage probability of nodal failure was obtained at 40.46% considering uniformly distributed material uncertainties with a 10% coefficient of variation. The developed testbench slope model was also simulated for different values of the coefficient of variation (ranging from 0% to 50%) and comparatively investigated. The detailed deformation patterns, thorough profiles of stresses-strains, failure zones, and failure characteristics provided valuable insights into geotechnical engineering practices.

Abstract Electrolysis of D2O may be used as a portable neutron source with numerous applications without the complexity of huge reactor operations. Herein, we report reproducible fast neutron generation by electrolysis of D2O using palladium cathode and platinum anode, which was detected with diamond detector, gas filled 3He detectors after thermalisation with high density polythene, as well as novel epoxy resin and CR-39 detectors. Notably, a highly reproducible neutron generation at electrochemical surfaces of palladium electrode was observed and signature transmutation via Pd (d, n) Ag was corroborated. This was further explained using a theoretical model based on second order quantum perturbation theory.

Abstract Black ice is responsible for dangerous road-related incidents that can cause collisions and harm vehicle drivers and pedestrians. Visual examination and weather forecasts are two standard traditional methods for detecting black ice on roads, but they are often inaccurate and may not deliver the vehicle driver with up-to-date information on road conditions. The evolution of Industry 4.0 enabling technologies such as wireless sensor network (WSN), Internet of Things (IoT), cloud computing, and machine learning (ML) has been capable of detecting events in real time. This study aims to analyse the integration of the WSN, IoT, ML, and image processing for black ice detection. The qualitative research method is followed in this study, where the problems of black ice detection are studied. Following this, the role of Industry 4.0 enabling technologies is analyzed in detail for black ice detection. According to the study, we can detect black ice using different methods, but some methods need to be refined if we talk about the prediction. By merging different technologies, we can improve the overall architecture and create an algorithm that works with images and physical variables like temperature, humidity, due point, and road temperature, which were responsible for black ice formation, and predict the chances of black ice formation by training the system.

Abstract Groundwater is a primary source of drinking water for billions worldwide. It plays a crucial role in irrigation, domestic, and industrial uses, and significantly contributes to drought resilience in various regions. However, excessive groundwater discharge has left many areas vulnerable to potable water shortages. Therefore, assessing groundwater potential zones (GWPZ) is essential for implementing sustainable management practices to ensure the availability of groundwater for present and future generations. This study aims to delineate areas with high groundwater potential in the Bankura district of West Bengal using four machine learning methods: Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Gradient Boosting (XGBoost), and Voting Ensemble (VE). The models used 161 data points, comprising 70% of the training dataset, to identify significant correlations between the presence and absence of groundwater in the region. Among the methods, Random Forest (RF) and Extreme Gradient Boosting (XGBoost) proved to be the most effective in mapping groundwater potential, suggesting their applicability in other regions with similar hydrogeological conditions. The performance metrics for RF are very good with a precision of 0.919, recall of 0.971, F1-score of 0.944, and accuracy of 0.943. This indicates a strong capability to accurately predict groundwater zones with minimal false positives and negatives. Adaptive Boosting (AdaBoost) demonstrated comparable performance across all metrics (precision: 0.919, recall: 0.971, F1-score: 0.944, accuracy: 0.943), highlighting its effectiveness in predicting groundwater potential areas accurately; whereas, Extreme Gradient Boosting (XGBoost) outperformed the other models slightly, with higher values in all metrics: precision (0.944), recall (0.971), F1-score (0.958), and accuracy (0.957), suggesting a more refined model performance. The Voting Ensemble (VE) approach also showed enhanced performance, mirroring XGBoost's metrics (precision: 0.944, recall: 0.971, F1-score: 0.958, accuracy: 0.957). This indicates that combining the strengths of individual models leads to better predictions. The groundwater potentiality zoning across the Bankura district varied significantly, with areas of very low potentiality accounting for 41.81% and very high potentiality at 24.35%. The uncertainty in predictions ranged from 0.0 to 0.75 across the study area, reflecting the variability in groundwater availability and the need for targeted management strategies. In summary, this study highlights the critical need for assessing and managing groundwater resources effectively using advanced machine learning techniques. The findings provide a foundation for better groundwater management practices, ensuring sustainable use and conservation in Bankura district and beyond.

The initial size distribution and morphological parameters of sodium aerosols are critical in evaluating the accidental suspended aerosol behaviour in Sodium-cooled Fast Reactor (SFR) containment. Mass-based measurements were more familiar in characterizing the sodium aerosols. Real-time number size distribution measurements are carried out in this study. The sensitivity analysis of sodium aerosol effective density (ρe) in deriving the actual number size distributions from the measured Aerodynamic Particle Size Distributions (APSD) and predicting suspended aerosol dynamics is presented. Tests are conducted in a 1 m3 chamber at 47 ± 3% RH for different initial mass concentrations (M0) of 0.1, 1, and 2.9 g/m3. The initial APSDs measured just after the generation completions are observed to be polydisperse with the count median aerodynamic diameter (CMAD)

Genitourinary prolapse in newborn females as an introital mass is an uncommon entity. The usual causative mechanisms are poor pelvic innervation, damage or pressure on pelvic musculature and ligaments etc. Different methods of reduction as treatment were proposed in the past. Apart from uncommon occurrence of genitourinary prolapse in newborns, its association with anorectal malformation is not reported in English literature after searching on PubMed and Google Scholar. We report three cases of genitourinary prolapse with anorectal malformation in newborn females where decompressing colostomy was curative for the condition reflecting increased intra-abdominal pressure as causative mechanism.

A reliable suspension-based platform for scaling engineered cardiac tissue (ECT) production from human induced pluripotent stem cells (hiPSCs) is crucial for regenerative therapies. Here, we compared the production and functionality of ECTs formed using our scaffold-based, engineered tissue microsphere differentiation approach with those formed using the prevalent scaffold-free aggregate platform. We utilized a microfluidic system for the rapid (1 million cells/min), high density (30, 40, 60 million cells/ml) encapsulation of hiPSCs within PEG-fibrinogen hydrogel microspheres. HiPSC-laden microspheres and aggregates underwent suspension-based cardiac differentiation in chemically defined media. In comparison to aggregates, microspheres maintained consistent size and shape initially, over time, and within and between batches. Initial size and shape coefficients of variation for microspheres were eight and three times lower, respectively, compared to aggregates. On day 10, microsphere cardiomyocyte (CM) content was 27 % higher and the number of CMs per initial hiPSC was 250 % higher than in aggregates. Contraction and relaxation velocities of microspheres were four and nine times higher than those of aggregates, respectively. Microsphere contractile functionality also improved with culture time, whereas aggregate functionality remained unchanged. Additionally, microspheres displayed improved β-adrenergic signaling responsiveness and uniform calcium transient propagation. Transcriptomic analysis revealed that while both microspheres and aggregates demonstrated similar gene regulation patterns associated with cardiomyocyte differentiation, heart development, cardiac muscle contraction, and sarcomere organization, the microspheres exhibited more pronounced transcriptional changes over time. Taken together, these results highlight the capability of the microsphere platform for scaling up biomanufacturing of ECTs in a suspension-based culture platform.

AbstractGreen-mediated synthesis of nanoparticles has earned a promising role in the area of nanotechnology due to their biomedical applications. This study describes the synthesis of silver nanoparticles (AgNPs) using Mikania micrantha leaf extract and its functional activities against cancer. The synthesis of AgNPs was confirmed using Ultraviolet-Visible (UV-Vis) spectrum that exhibited an absorption band at 459 nm. The bioactive compounds of M. micrantha leaf extract that functioned as reducing and capping agents were confirmed by a shift in the absorption bands in Fourier Transform Infra-red Spectroscopy (FT-IR). Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM) studies validated the spherical shape and size of AgNPs, respectively. Energy Dispersive Spectroscopy (EDS) analysis revealed the presence of elemental silver. The crystalline nature of AgNPs was confirmed by the X-ray Diffraction Analysis (XRD). AgNPs effectively induced cytotoxicity and prevented A549 cell colony formation in a dose-dependent manner. Treatment of A549 cells with AgNPs also increased DNA damage, which was coupled with elevated lipid peroxidation and decreased antioxidant enzymes such as glutathione (GSH), glutathione-s-transferase (GST), and superoxide dismutase (SOD). Following AgNPs treatment, the mRNA expression levels of the pro-apoptotic genes as well as the activities of caspases were significantly elevated in A549 cells while the expression levels of anti-apoptotic genes were downregulated. Our study demonstrates the potential of the synthesised AgNPs for cancer therapy possibly targeting the apoptotic pathway.

Variant peptides resulting from single nucleotide polymorphisms (SNPs) can lead to aberrant protein functions and have translational potential for disease diagnosis and personalized therapy. Variant peptides detected by proteogenomics are fraught with high number of false positives, but there is no uniform and comprehensive approach to assess variant quality across analysis pipelines. Despite class-specific FDR along with ad-hoc filters, the problem is far from solved. These protocols are typically manual and tedious, and thus not uniform across labs. We demonstrate that variant peptide rescoring, integrated with intensity, variant event information and search result features, allows better discrimination of correct variant peptides. Implemented into PgxSAVy – a tool for quality control of variant peptides, this method can tackle the high rate of false positives. PgxSAVy provides a rigorous framework for quality control and annotations of variant peptides on the basis of (i) variant quality, (ii) isobaric masses, and (iii) disease annotation. PgxSAVy demonstrated high accuracy by identifying true variants with 98.43% accuracy on simulated data. Large-scale proteogenomic reanalysis of ∼2.8 million spectra (PXD004010 and PXD001468) resulted in 12,705 variant peptide spectrum matches (PSMs), of which PgxSAVy evaluated 3028 (23.8%), 1409 (11.1%) and 8268 (65.1%) as confident, semi-confident and doubtful respectively. PgxSAVy also annotates the variants based on their pathogenicity and provides support for assisted manual validation. The analysis of proteins carrying variants can provide fine granularity in discovering important pathways. PgxSAVy will advance personalized medicine by providing a comprehensive framework for quality control and prioritization of proteogenomics variants. PgxSAVy is freely available at https://pgxsavy.igib.res.in/ as a webserver and https://github.com/anuragraj/PgxSAVy as a stand-alone tool.

Rationale: Longitudinally extensive transverse myelitis (LETM) is a rare inflammatory demyelinating disease predominantly associated with autoimmune and inflammatory disorders. Scrub typhus can cause a variety of neurological complications, which may result in poor recovery and long-term disability. This report reveals a rare linkage between LETM and scrub typhus. Patient concerns: A 24-year-old female presented with a history of fever for 10 days associated with progressive quadriparesis. Physical examination revealed bilateral lower limb weakness (grade 0/5) and bilateral upper limb weakness (grade 2/5) with reduced sensation below the T3 dermatome. Diagnosis: Scrub typhus presenting with longitudinally extensive transverse myelitis. Interventions: Steroid pulse therapy with antibiotics supported by early intensive rehabilitation. Outcomes: Complete recovery was achieved. Lessons: This case report highlights the importance of considering scrub typhus as a potential cause of LETM in endemic regions, particularly in patients presenting with febrile illness and neurological symptoms.

Abstract The judiciary is a foundation of democracy, upholding the rule of law and protecting rights. Efficient court administration is vital for public trust, justice, and timely proceedings. Currently, courts face challenges such as inconsistencies, adjournments, and absence of transparency, undermining the justice system. Traditional manual processes and paper-based documentation cause significant backlogs, slow resolutions, and limited public access. As case volumes and complexities rise, modernizing court administration through digital transformation is progressively critical. Currently, many countries are integrating technologies in the courts for its administration and other activities. In recent years, courts and judges have been subjected to pressure to improve performance, uplifting judicial effectiveness to a top priority. Subsequently, several countries have integrated simplification and digitization strategies in judicial initiatives to enhance court efficiency. Switzerland’s Justitia 4.0 and Brazil’s PJE are notable initiatives that focused to strengthen court administration through digitalization. These aspects motivated this study to examine the detailed integration of industry 4.0 technologies such as the Internet of things, cloud computing, blockchain, big data analytics, robotics, drones, Metaverse, digital twins, and artificial intelligence for court administration with digitalized infrastructure. According to the study, integrating these technologies in less complex cases helps minimize expenditures and save time, making to resolve cases conveniently, efficiently, and superiorly. The study also identified the challenges and issues associated with industry 4.0 technologies such as evidence gathering, evidence preservation, robot judges for pre-judgment analysis, and judgment delivery, which future studies need to be explored.

Abstract Globoid cell leukodystrophy is a severe rare disorder characterized by white matter degradation, resulting in a progressive loss of physical and mental abilities and has extremely limited therapeutic interventions. Therefore, this study aimed to delve into the Globoid cell leukodystrophy associated intricate network of differentially expressed genes (p 1) to identify potential druggable targets and possible therapeutic interventions using small molecules. The disease-associated neuronal protein circuit was constructed and analyzed, identifying 53 nodes (minimum edge cutoff 1), among which five (FOS, FOSB, GDNF, GFRA1, and JUN) were discerned as potential core protein nodes. Although our research enumerates the potential small molecules to target various protein nodes in the proposed disease network, we particularly underscore T-5224 to inhibit c-Jun activity as JUN was identified as one of the pivotal elements within the disease-associated neuronal protein circuit. The evaluation of T-5224 binding energy (− 11.0 kcal/mol) from docking study revealed that the compound to exhibit a notable affinity towards Jun/CRE complex. Moreover, the structural integrity of complex was affirmed through comprehensive molecular dynamics simulations, indicating a stable hydrophilic interaction between T-5224 and the Jun/CRE complex, thereby enhancing protein compactness and reducing solvent accessibility. This binding energy was further substantiated by free binding analysis, revealing a substantial thermodynamics complex state (− 448.00 ± 41.73 kJ/mol). Given that this investigation is confined to a computational framework, we additionally propose a hypothetical framework to ascertain the feasibility of inhibiting the Jun/CRE complex with T-5224 against Globoid cell leukodystrophy, employing a combination of in vitro and in vivo methodologies as a prospective avenue of this study.

Abstract Understanding the structure and diversity of microbiomes is critical to establishing olives in non-traditional production areas. Limited studies have investigated soil and root-associated microbiota dynamics in olives across seasons or locations in the United States. We explored the composition and spatiotemporal patterns of the olive-associated microbial communities and specificity in two niches (rhizosphere and root endosphere), seasons (spring, summer, and fall), and domains (bacteria and fungi) in the microbiome of the olive cultivar Arbequina across three olive orchards in Texas. Phylum Proteobacteria, followed by Actinobacteriota, dominated the bacterial populations in the rhizosphere and endosphere. Rubrobacter and Actinophytocola were dominant taxa in the rhizosphere and root endosphere at the genus level. Among fungal communities, phylum Ascomycota was prevalent in the rhizosphere and endosphere, while members of the Chaetomiaceae family outnumbered other taxa in the root endosphere. As per the alpha diversity indices, the rhizosphere at Moulton showed much higher richness and diversity than other places, which predicted a significant difference in rhizosphere between locations for bacterial diversity and richness. There was no significant variation in the bacterial diversity in the niches and the fungal diversity within the root endosphere between locations. Beta diversity analysis confirmed the effect of compartments—in influencing community differences. Microbial diversity was apparent within the endosphere and rhizosphere. The seasons influenced only the rhizosphere fungal diversity, contrasting the bacterial diversity in either niche. The research provided a comprehensive overview of the microbial diversity in olive trees' rhizosphere and root endosphere. The abundance and composition of OTUs associated with the rhizosphere soil of Arbequina suggest its role as a source reservoir in defining the potential endophytes.

Abstract With an aging population and an increase in chronic sickness, healthcare systems are under increasing pressure. Internet of Things (IoT) technology has recently garnered a lot of interest for its ability to alleviate this burden. The IoT is a network of interconnected wireless digital devices that can gather, transmit, and store data automatically, without the need for human or computer intervention. In order to better anticipate health problems, diagnose, treat, and monitor patients in and out of the hospital, the IoT offers numerous advantages that could streamline and improve health care delivery. As a matter of urgency, decision-makers and heads of state around the world are enacting policies to provide healthcare services through the use of technology. Thanks to recent advancements in the IoT, healthcare has been able to evolve at a rapid pace. Research on Internet IoT uses in healthcare and newly developed emergency equipment are summarized in this article.

Mixed subtropical forests possess a high amount of carbon pool owing to their rich species diversity and carbon sequestration potential. The Dhaulasidh forest is located in Himachal Pradesh within the subtropical Himalayan region. This research aimed to identify: (1) Optimal satellite-derived Sentinel-2A indices for predicting biomass, (2) the best-fitting model for biomass estimation, and (3) changes in above-ground carbon stock due to biomass loss, using satellite remote sensing and quadrat-based approaches. Results indicated that Band 3 (Green), Band 5 (Red edge), the vegetation (VEG) index, and the Carotenoid reflectance index (CRI) were suitable for estimating above-ground biomass (AGB). Shannon and Simpson’s diversity indices were calculated as 0.89 and 0.73, respectively. Significant contributors to AGB included Mallotus philippensis, Emblica officinalis, Cassia fistula, Acacia catechu, Ehretia laevis, Kydia calycina, and Lannea coromandelica. The AGB prediction model based on vegetation indices demonstrated a strong correlation between observed and predicted biomass (R²=0.65, p

Purpose: The retinal thickness profile is essential for detecting ocular diseases like glaucoma and other optic neuropathies. The retinal nerve fiber layer (RNFL) thickness is affected by age, ethnicity, axial length, optic disc area, and inter-eye differences. Ocular dominance has a strong functional correlation with cerebral cortical activity. However, its relationship with RNFL thickness profile is yet to be fully established. Methods: A cross-sectional study was conducted in 136 healthy adults to study the association between ocular dominance and RNFL parameters measured by Spectral domain optical coherence tomography (SD-OCT) and to study the association of ocular dominance with other parameters such as handedness, intraocular pressure, average axial length, average keratometry, and refractive error. Sighting ocular dominance was detected using the Miles test, and sensory ocular dominance was detected using the fogging test. Visual acuity and refraction assessment were done, and the patients underwent ocular biometry using the Lenstar 900 machine to measure the axial length and keratometry. The RNFL thickness was measured using the Cirrus HD optical coherence tomographer. Results: One hundred and thirty-two (97.06%) individuals were right-handed, four (2.94%) were left-handed, 108 (79.41%) participants were right eye dominant, and 28 (20.59%) were left eye dominant. There was 100% agreement between sighting and sensory ocular dominance. The average RNFL thickness and other measured ocular parameters were comparable in the dominant and nondominant eyes. Regardless of dominance, the left eyes in the study cohort had a greater statistically significant difference in superior RNFL thickness (P < 0.05), which correlated with increased central macular thickness. Conclusion: Ocular dominance occurred mostly in the right eye. The RNFL thickness profile is not associated with ocular dominance in emmetropic and mild myopic individuals with normal best corrected visual acuity.

Abstract The present study was aimed at showing the importance of HPV DNA status and the clinical history of the patients required by the cytologist for accurate reporting. A total of 1250 symptomatic women who attended the gynaecology outpatient department of the Mahavir Cancer Sansthan and Nalanda Medical College, Patna, for pap smear examinations were screened and recruited for the study. Due to highly clinical symptoms out of the negative with inflammatory smears reported, one hundred and ten patients were randomly advised for biopsy and HPV 16/18 DNA analysis by a gynaecologist to correlate negative smears included in the study. Pap smear reports revealed that 1178 (94.24%) were negative for intraepithelial lesions (NILM) with inflammatory smears, 23 (1.84%) smears showed low-grade squamous intraepithelial lesions (LSIL), 12 (0.96%) smears showed high-grade squamous intraepithelial lesions, and 37 (2.96%) smears showed an atypical squamous cell of undetermined significance (ASC-US). A biopsy of 110 out of 1178 (NILM) patients revealed that 15 (13.63%) women had cervical cancer, 29 women had CIN I, 17 women had CIN II + CIN III, 35 women had benign cervical changes, and 14 women had haemorrhages. On the other hand, HPV 16/18 DNA was detected as positive in 87 out of 110. The high positivity of HPV in biopsied cases where frank cervical cancer and at-risk cancer were also observed in the negative smear-screened patients reveals that the HPV status and clinical history of the patients will be quite helpful to the cytologist for accurate reporting, and suggests that a negative HPV DNA result may be a stronger predictor of cervical cancer risk than a negative Pap test.

Abstract We report here a method to make a branched and partially ethoxylated polyethyleneimine derivative directly from ethanolamine. The polymerization reaction is catalysed by a pincer complex of Earth-abundant metal, manganese, and produces water as the only byproduct. Industrial processes to produce polyethyleneimines involve the transformation of ethanolamine to a highly toxic chemical, aziridine, by an energy-intensive/waste-generating process followed by the ring-opening polymerization of aziridine. The reported method bypasses the need to produce a highly toxic intermediate and presents advantages over the current state-of-the-art. We propose that the polymerization process follows a hydrogen borrowing pathway that involves (a) dehydrogenation of ethanolamine to form 2-aminoacetaldehyde, (b) dehydrative coupling of 2-aminoacetaldehyde with ethanolamine to form an imine derivative, and (c) subsequent hydrogenation of imine derivative to form alkylated amines.

Abstract Type-2 diabetes (T2D) is a rapidly growing multifactorial metabolic disorder that induces the onset of various diseases in the human body. The compositional and metabolic shift of the gut microbiota is a crucial factor behind T2D. Hence, gaining insight into the metabolic profile of the gut microbiota is essential for revealing their role in regulating the metabolism of T2D patients. Here, we have focused on the genome-scale community metabolic model reconstruction of crucial T2D-associated gut microbes. The model-based analysis of biochemical flux in T2D and healthy gut conditions showed distinct biochemical signatures and diverse metabolic interactions in the microbial community. The metabolic interactions encompass cross-feeding of short-chain fatty acids, amino acids, and vitamins among individual microbes within the community. In T2D conditions, a reduction in the metabolic flux of acetate, butyrate, vitamin B5, and bicarbonate was observed in the microbial community model, which can impact carbohydrate metabolism. The decline in butyrate levels is correlated with both insulin resistance and diminished glucose metabolism in T2D patients. Compared to the healthy gut, an overall reduction in glucose consumption and SCFA production flux was estimated in the T2D gut environment. Moreover, the decreased consumption profiles of branch chain amino acids (BCAAs) and aromatic amino acids (AAAs) in the T2D gut microbiota can be a distinct biomarker for T2D. Hence, the flux-level analysis of the microbial community model can provide insights into the metabolic reprogramming in diabetic gut microbiomes, which may be helpful in personalized therapeutics and diet design against T2D.

Abstract To sustainably increase wheat yield to meet the growing world population’s food demand in the face of climate change, Conservation Agriculture (CA) is a promising approach. Still, there is a lack of genomic studies investigating the genetic basis of crop adaptation to CA. To dissect the genetic architecture of 19 morpho-physiological traits that could be involved in the enhanced adaptation and performance of genotypes under CA, we performed GWAS to identify MTAs under four contrasting production regimes viz., conventional tillage timely sown (CTTS), conservation agriculture timely sown (CATS), conventional tillage late sown (CTLS) and conservation agriculture late sown (CALS) using an association panel of 183 advanced wheat breeding lines along with 5 checks. Traits like Phi2 (Quantum yield of photosystem II; CATS:0.37, CALS: 0.31), RC (Relative chlorophyll content; CATS:55.51, CALS: 54.47) and PS1 (Active photosystem I centers; CATS:2.45, CALS: 2.23) have higher mean values in CA compared to CT under both sowing times. GWAS identified 80 MTAs for the studied traits across four production environments. The phenotypic variation explained (PVE) by these QTNs ranged from 2.15 to 40.22%. Gene annotation provided highly informative SNPs associated with Phi2, NPQ (Quantum yield of non-photochemical quenching), PS1, and RC which were linked with genes that play crucial roles in the physiological adaptation under both CA and CT. A highly significant SNP AX94651261 (9.43% PVE) was identified to be associated with Phi2, while two SNP markers AX94730536 (30.90% PVE) and AX94683305 (16.99% PVE) were associated with NPQ. Identified QTNs upon validation can be used in marker-assisted breeding programs to develop CA adaptive genotypes.

Abstract Major research interests on quantum key distribution (QKD) are primarily focused on increasing 1. Point-to-point transmission distance (1000 km). 2. Secure key rate (Mbps). 3. Security of quantum layer (device-independence). It is great to push the boundaries in these fronts but these isolated approaches are neither scalable nor cost-effective due to requirements of specialised hardware and different infrastructure. Current and future QKD network requires addressing different set of challenges apart from distance, key rate and quantum security. In this regard, we present ChaQra—a sub quantum network with core features as 1. Crypto agility (integration in the already deployed telecommunication fibres). 2. Software defined networking (SDN paradigm for routing different nodes). 3. reliability (addressing denial-of-service with hybrid quantum safe cryptography). 4. upgradability (modules upgradation based on scientific and technological advancements). 5. Beyond QKD (using QKD network for distributed computing, multi-party computation etc). Our results demonstrate a clear path to create and accelerate quantum secure Indian subcontinent under national quantum mission.

Abstract Harnessing the power of cell biocatalysis for sustainable chemical synthesis requires rational integration of living cells with the modern synthetic catalysts. Here, we develop silica-tiling strategy that constructs a hierarchical, inorganic, protocellular confined nanospace around the individual living cell to accommodate molecularly accessible abiotic catalytic sites. This empowers the living microorganisms for new-to-nature chemical synthesis without compromising the cellular regenerative process. Yeast cell, a widely used biocatalyst, is upgraded via highly controlled self-assembly of 2D-bilayer silica-based catalytic modules on cell surfaces, opening the avenues for diverse chemobiotic reactions. For example, combining [AuPt]-catalyzed NADH regeneration, light-induced [Pd]-catalyzed C-C cross-coupling or lipase-catalyzed esterification reactions—with the natural ketoreductase activity inside yeast cell. The conformal silica bilayer provides protection while allowing proximity to catalytic sites and preserving natural cell viability and proliferation. These living nanobiohybrids offer to bridge cell’s natural biocatalytic capabilities with customizable heterogeneous metal catalysis, enabling programmable reaction sequences for sustainable chemical synthesis.

Background: Elevated oxidized low-density lipoprotein (Ox-LDL) was significantly associated with the atherosclerotic cardiovascular disease as well as retinal vascular diseases but there were no studies to show the reference range of Ox-LDL levels in any Indian population. Aims and Objectives: The aim of this study was to formulate the reference intervals of Ox-LDL cholesterol in a population of West Bengal. Materials and Methods: Ox-LDL levels of 434 apparently healthy individuals were estimated based on the history, clinical examination, and laboratory investigations. Statistical analysis was performed using the statistical package for the social sciences software. Results: The reference range of Ox-LDL levels for all ages was 34.1±4.9 mol/L in healthy male and 34.5±4.5 mol/L in healthy female. The 2.5th and 97.5th percentile values of Ox-LDL level in the reference population were 27 (0.90 CI = 26.4–27.6) and 42 (0.90 CI = 41.4–42.6), respectively. Conclusions: Reference intervals for Ox-LDL may help clinicians to predict the future risk for coronary heart disease and retinal vascular disease by taking medical decision limits and also open up the scope for further research for other laboratories to formulate their own reference interval of Ox-LDL.