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Introduction: Preoperative fasting is a standard practice aimed at minimising the risk of pulmonary aspiration during surgery. However, patients often experience prolonged fasting periods beyond the recommended duration due to unanticipated delays in the operating theatre, communication failures between teams, inadequate preoperative planning and other factors. Aim: To investigate the effects of unexpectedly prolonged fasting on intraoperative and postoperative parameters in patients undergoing elective surgery under spinal anaesthesia. Materials and Methods: This prospective observational study was conducted from October 2023 to June 2024 at the Department of Anaesthesiology, Dr. D.Y. Patil Medical College, Hospital and Research Centre, Pimpri, Pune, Maharashtra, India. The study included 70 patients undergoing elective surgery under spinal anaesthesia. Patients were divided into two groups: Group A (AM group, n=35), scheduled for surgery between 8:00 AM and 12:00 PM and Group B (PM group, n=35), scheduled for surgery after 12:00 PM or with delayed surgeries. Intraoperative parameters, including Mean Arterial Pressure (MAP), Heart Rate (HR), oxygen saturation (SpO2) and random blood glucose levels, were recorded at specific time points. Postoperative outcomes, such as nausea, vomiting and random blood glucose levels, were also assessed. Continuous and discrete variables were summarised as mean±SD and median, while categorical variables were presented as frequencies and percentages. Associations between categorical variables were tested using Pearson’s Chi-square or Fisher’s-exact test, with p-values

Abstract Bionanofertilizers are promising eco-friendly alternative to chemical fertilizers, leveraging nanotechnology and biotechnology to enhance nutrient uptake by plants and improve soil health. They consist of nanoscale materials and beneficial microorganisms, offering benefits such as enhanced seed germination, improved soil quality, increased nutrient use efficiency, and pesticide residue degradation, ultimately leading to improved crop productivity. Bionanofertilizers are designed for targeted delivery of nutrients, controlled release, and minimizing environmental pollutants, making them a sustainable option for agriculture. These fertilizers also have the potential to enhance plant growth, provide disease resistance, and contribute to sustainable farming practices. The development of bionanofertilizers addresses the adverse environmental impact of chemical fertilizers, offering a safer and productive means of fertilization for agricultural practices. This review provides substantial evidence supporting the potential of bionanofertilizers in revolutionizing agricultural practices, offering eco-friendly and sustainable solutions for crop management and soil health.

The present study investigated total phenolic contents (TPC), antioxidant activity, and antibacterial activities of aqueous extracts of leaf, bark, flower, and fruit pulp of C. fistula. The TPC of the extracts was determined by the Folin-Ciocalteu method. The 2, 2'-azino-bis 3-ethylbenzothiazoline-6sulfonic acid (ABTS), 2,2-diphenyl-1-picrylhydrazyl (DPPH), and superoxide radical scavenging assays were used to evaluate antioxidant activity. Antibacterial activities were assessed using the well diffusion assay, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC). The bacteria tested were Staphylococcus aureus (MTCC 7443) and Escherichia coli (MTCC 2991). It was found that bark extract contained the highest TPC (22.56 ± 0.91 mg of gallic acid equivalent /g of extract). The bark extract also showed the strongest ABTS scavenging activity (IC50=180.13µg/ml), DPPH scavenging activity (IC50=318.77µg /ml), and Superoxide radical scavenging activity (IC50=478.31µg/ml). Zones of Inhibition were observed in all the aqueous extracts against Staphylococcus aureus (MTCC 7443) and Escherichia coli (MTCC 2991). The antibacterial potential of the extracts was found to be dosedependent. At 100 mg/ml, the highest average Zone of Inhibition of 14.33±0.33 mm and 16.0±0.58 mm was recorded in aqueous bark extract against S. aureus (MTCC 7443), and E. coli (MTCC 2991) respectively. The bark extract of C. fistula was most potent against E. coli (MTCC 2991) and S. aureus (MTCC 7443), with MIC values of 3.125 mg/mL and 6.25 mg/mL, respectively.

Abstract Nitroaromatic compounds represent a class of highly toxic pollutants discharged into aquatic environments by various industrial activities, posing significant threats to ecological integrity and human health due to their persistent and hazardous nature. In this study, Pd-doped ZnO nanoparticles were investigated as a potential solution for the degradation of nitro organics, offering heightened photocatalytic efficacy and prolonged stability. The synthesis of Pd-doped ZnO NPs was achieved via the hydrothermal method, with subsequent analysis through XRD spectra and XPS confirming successful Pd doping within the ZnO matrix. Characterization through FESEM and HRTEM unveiled the heterogeneous morphologies of both undoped and Pd-doped ZnO nanoparticles. Additionally, UV–vis and PL spectroscopy provided insights into the optical properties, chemical bonding, and defect structures of the synthesized Pd-doped ZnO NPs. Pd doping induces a redshift in ZnO’s absorption spectra, reducing the bandgap from 3.12 to 2.94 eV as Pd concentration rises from 0 to 0.2 wt.%. The photocatalytic degradation, following pseudo-first-order kinetics, achieved 90% nitrobenzene abatement (200 µg/L, pH 7) under visible light within 320 min with a catalyst loading of 16 µg/mL. The photocatalytic efficacy of 0.08 wt% Pd-doped ZnO (k = 0.058 min⁻1) exhibited a 25-fold enhancement compared to bare ZnO (k = 3.1 × 10–4 min-1). Subsequent quenching and ESR experiments identified hydroxyl radicals (OH•) as the predominant active species in the degradation mechanism. Mass spectrometry analysis unveiled potential breakdown intermediates, illuminating a plausible degradation pathway. The investigated Pd-doped ZnO nanoparticles demonstrated reusability for up to five successive treatment cycles, offering a sustainable solution to nitro organics contamination challenges.

Background: Fat embolism syndrome (FES) is a rare and underdiagnosed complication associated with sickle cell disease. Case report: We report the case of a 12-year-old girl with sickle cell disease who initially presented with features of acute vaso-occlusive crisis. However, she later developed neurological and respiratory complications along with a decrease in hemoglobin and platelet counts. She was evaluated and diagnosed with FES. The patient was successfully managed with red cell exchange and therapeutic plasma exchange, leading to complete recovery. Conclusion: Prompt diagnosis and early management can significantly improve the outcome of this rare, though highly morbid complication.

This article presents a fast and approximate multifrontal solver for large sparse linear systems. In a recent work by Liu et al., we showed the efficiency of a multifrontal solver leveraging the butterfly algorithm and its hierarchical matrix extension, HODBF (hierarchical off-diagonal butterfly) compression to compress large frontal matrices. The resulting multifrontal solver can attain quasi-linear computation and memory complexity when applied to sparse linear systems arising from spatial discretization of high-frequency wave equations. To further reduce the overall number of operations and especially the factorization memory usage to scale to larger problem sizes, in this article we develop a composite multifrontal solver that employs the HODBF format for large-sized fronts, a reduced-memory version of the nonhierarchical block low-rank format for medium-sized fronts, and a lossy compression format for small-sized fronts. This allows us to solve sparse linear systems of dimension up to 2.7 × larger than before and leads to a memory consumption that is reduced by 70% while ensuring the same execution time. The code is made publicly available in GitHub.

Manufacturing plays a crucial role in robust economies, and effective optimization of manufacturing processes ensures competitive viability. Multi-hole drilling is a fundamental process in manufacturing, especially in the mass production of boilerplates, food processing separators, drum and trammel screens, and printed circuit boards, where optimizing drill tool paths is crucial for cost competitiveness. Multi-hole drill tool path sequencing is often framed as Traveling Salesman Problems, known for their NP-hard complexity. Researchers employed evolutionary algorithms to tackle the challenges associated with these NP-hard complexities. The recently proposed Discrete Teaching Learning Based Optimization (DTLBO) can address the intricacies of multi-hole drill tool path sequencing. This study proposes the use of DTLBO for multi-hole drill tool path sequencing optimization and highlights the critical distinctions between Canonical and Non-Canonical approaches of the DTLBO. Further, it assesses their performances through a comparative analysis using test problems, investigating the merits and demerits of these approaches. The findings of this investigation provide a foundation for refining the algorithms and improving their practical effectiveness, which will be pursued as future research. Notably, no prior research in the literature has undertaken such a comprehensive comparison.

Lumpy skin disease (LSD) is an economically significant, emerging viral disease of Cattle and Buffaloes. This study aimed to investigate the causes of high mortality in a recent LSD epidemic in India. We examined 1618 animals across seventy outbreaks and conducted post-mortem on 48 cattle out of 513 clinically suspected LSD cases. The morbidity, mortality and case fatality rates recorded were 31.70%, 2.97 and 9.37% respectively. Disease stages were categorized as early (20.81%), mid (42.02%), and late (37.17%) and the distribution of skin lesions was classified as mild (34.14%), moderate (39.39%), and severe (26.47%). Post-mortem findings revealed systemic infection with necrotic and ulcerative nodules on multiple internal organs. Histologically, necrotizing vasculitis and mononuclear cell infiltration with intracytoplasmic inclusions were observed in various organs. The highest viral load was found in skin nodules/scabs, trachea, tongue, and lymph nodes. The viral load was significantly higher in mid- and late-stages of skin nodules and internal organs; whereas, blood from early-stage showed high viral load. The expression of Th1-type and Th2-type cytokines varied significantly across different stages of the disease. The downregulation of the apoptotic intrinsic and upregulation of the extrinsic pathway genes, suggesting that the latter plays a role in LSDV infection. Genetic analysis revealed that the LSD virus (LSDV) isolates were derived from a Kenyan ancestral strain with unique nucleotide changes in RPO30 and P32 gene. In conclusion, the high mortality in the recent Indian LSD epidemic can be attributed to a newly identified, highly virulent strain of LSDV causing systemic infection.

One of the most recent advances in the analysis of viral RNA-cellular protein interactions is the Comprehensive Identification of RNA-binding Proteins by Mass Spectrometry (ChIRP-MS). Here, we used ChIRP-MS in mock-infected and Zika-infected wild-type cells and cells knockout for the zinc finger CCCH-type antiviral protein 1 (ZAP). We characterized ‘ZAP-independent’ and ‘ZAP-dependent’ cellular protein interactomes associated with flavivirus RNA and found that ZAP affects cellular proteins associated with Zika virus RNA. The ZAP-dependent interactome identified with ChIRP-MS provides potential ZAP co-factors for antiviral activity against Zika virus and possibly other viruses. Identifying the full spectrum of ZAP co-factors and mechanisms of how they act will be critical to understanding the ZAP antiviral system and may contribute to the development of antivirals.

Abstract Background Sleep deprivation (SD) due to an unhealthy lifestyle poses an oxidative challenge and is closely associated with an increased risk and prevalence of different metabolic disorders. Although the negative consequences of SD are well reported on mental health little is known about its detrimental effects on liver function and lipid metabolism. Tinospora cordifolia is reported for its hepatoprotective activity in different pre-clinical model systems. The current study was designed to elucidate the cumulative effects of aging and acute SD on liver functions, oxidative stress, and lipid metabolism, and their management by butanol extract of T. cordifolia (B-TCE) using middle-aged female acyclic rats as the model system. Results Rats were divided into 4 groups: (1) Vehicle-undisturbed (VUD) (2) Vehicle-sleep deprived (VSD) (3) B-TCE pre-treated sleep-deprived (TSD) (4) B-TCE pre-treated undisturbed sleep (TUD). TSD and TUD groups were given 35 mg/kg of B-TCE once daily for 15 days followed by 12 h of sleep deprivation (6 a.m.–6 p.m.) of VSD and TSD group animals using the gentle-handling method while VUD and TUD group animals were left undisturbed. SD of VSD group animals increased oxidative stress, liver function disruption, and dyslipidemia which were ameliorated by B-TCE pre-treatment. Further, B-TCE was observed to target AMPK and its downstream lipid metabolism pathways as well as the p-Akt/cyclinD1/p-bad pathway of cell survival as possible underlying mechanisms of its hepatoprotective activity. Conclusions These findings suggest that B-TCE being a multi-component extract may be a potential agent in curtailing sleep-related problems and preventing SD-associated hepatotoxicity and dyslipidemia in postmenopausal women. Graphical abstract Graphical abstract to depict mechanism of action of B-TCE on liver function and lipid metabolism.

Abstract Various attributes are hypothesized to facilitate the dominance of an invasive species in non-native geographical and ecological regimes. To explore the characteristic invasive attributes of the family Asteraceae, a comparative study was conducted among nine species of this family, co-occurring in the western Himalayan region. Based on their nativity and invasion status, the species were categorized as “Invasive”, “Naturalized”, and “Native”. Fifteen plant functional traits, strongly linked with invasion, were examined in the test species. The analyses revealed a strong dissimilarity between all the plant functional traits (except leaf carbon [Leaf C]) represented by “Invasive” and “Native” categories and most of the traits (except leaf area [LA], leaf nitrogen [Leaf N], Leaf C, and leaf carbon-nitrogen ratio [C: N]) represented by the “Naturalized” and “Native” categories. Similarly, “Invasive” and “Naturalized” categories also varied significantly for most of the traits (except Leaf N, Leaf C, capitula per m² population [Cm²], seeds per capitula [Scapitula], and seed mass). Invasive species are characterized by high LA, specific leaf area [SLA] and germination, and low C:N and leaf construction costs [LCC]. Most of the traits represented by native species justify their non-invasive behavior; whereas the naturalized species, despite having better size metrics (plant height), resource investment strategy (aboveground non-reproductive biomass [BNR], and aboveground reproductive biomass [BR]), and reproductive output (capitula per individual plant [Cplant], and seeds per individual plant [Splant]) failed to invade, which implies that the role of these functional aspects in imparting invasion potential to a species is not consistent in all the ecosystems and/or phylogenetic groups. Results of PCA revealed that trait divergence plays a more imperative role in invasion success than naturalization in the species of the family Asteraceae. The present study is intended to refine the pre-generalized invasion concepts associated with family Asteraceae to ensure more accurate identification of the potential invaders and better management of the existing ones.

Background: Nomophobia or no-mobile-phone phobia, defined as the fear of being unable to use or being unreachable via one’s mobile phone. The pervasive concern has varied bio-psychosocial and clinical implications in an individual’s life. Nomophobia is currently in an exploratory phase. Methods: A scoping review was conducted to systematically map the relevant evidence and literature on nomophobia. The review of scholarly literature spanning from January 2010 to May 2023 employed a narrative synthesis methodology to succinctly encapsulate the research findings. Additionally, it encompassed a meticulous examination and visual representation of studies, detailing both the frequency of investigation into specific variables and the instances in which said variables exhibited a statistically significant association with nomophobia. Results: A thorough examination of 92 studies revealed a total of 133 variables spanning demographic, lifestyle-related, academic, smartphone-related, psychosocial, and clinical domains. Notably, 42.86% of these variables have only been investigated in a single research study, underscoring the imperative for replication to enhance the generalizability, validity, and applicability of research findings. Moreover, the review identifies Nomophobia Questionnaire (NMP-Q) by Yildirim and Correia as the most widely used tool for measuring the severity of nomophobia. Conclusion: There is a crucial need for homogeneity and consistency in reporting nomophobia scores and establishing corresponding gradations indicative of functional ramifications or clinical severity of nomophobia. The findings elucidate significant research gaps in existing literature on nomophobia, hold implications for further synthesis of data, and contribute to a comprehensive understanding of nomophobia; ensuring superior diagnostic accuracy and precision, and facilitating successful delivery of targeted interventions.

Abstract The COVID-19 pandemic came with many setbacks, be it to a country’s economy or the global missions of organizations like WHO, UNICEF or GTFCC. One of the setbacks is the rise in cholera cases in developing countries due to the lack of cholera vaccination. This model suggested a solution by introducing another public intervention, such as adding Chlorine to water bodies and vaccination. A novel delay differential model of fractional order was recommended, with two different delays, one representing the latent period of the disease and the other being the delay in adding a disinfectant to the aquatic environment. This model also takes into account the population that will receive a vaccination. This study utilized sensitivity analysis of reproduction number to analytically prove the effectiveness of control measures in preventing the spread of the disease. This analysis provided the mathematical evidence for adding disinfectants in water bodies and inoculating susceptible individuals. The stability of the equilibrium points has been discussed. The existence of stability switching curves is determined. Numerical simulation showed the effect of delay, resulting in fluctuations in some compartments. It also depicted the impact of the order of derivative on the oscillations.

Context: Gambling disorder is a significant public health problem. Despite the significant negative consequences of problem gambling, a relatively small proportion actively seek help for their issues. Aims: This study was conducted to understand the reasons why people did not seek help for gambling disorders. Settings and Design: The study was conducted at a public-funded tertiary care centre (National Drug Dependence Treatment Centre [NDDTC], Ghaziabad). The study was a cross sectional and observational design. Materials and Methods: A total of 486 subjects visiting outpatient as well as inpatient settings were screened for gambling. Fifty participants were diagnosed with gambling disorder and were included in the study. Data were collected using a structured sociodemographic pro forma, Gambling Readiness to Change Scale, Attitude toward Gambling Scale, Gambling Perceived Stigma Scale, Gambling Experiences Stigma Scale, and Barriers to Treatment Inventory. Statistical Analysis: Pearson’s product-moment coefficient and Kendall’s Tau correlation coefficients were computed. Independent sample t-test, ANOVA, Mann–Whitney U, and Kruskal–Wallis H-test were used for comparisons. Results: The study identified denial of the problem, perceived and experienced stigma, time conflict, and limited availability and accessibility of treatment facilities as significant barriers to treatment for problem gamblers. Conclusion: There exists a pressing necessity to impart comprehensive awareness, education, and training to various community stakeholders, including family members, friends, and health-care professionals. It is vital for treatment centers to proactively communicate their broader focus, encompassing not only substance and alcohol use challenges but also problems related to gambling.

Abstract We report the development of a triplex nucleic acid lateral flow immunoassay (NALFIA) for the detection of the genomes of Nipah virus (NiV), Middle East respiratory syndrome coronavirus (MERS-CoV) and Reston ebolavirus (REBOV), which are intended for screening bats as well as other hosts and reservoirs of these three viruses. Our triplex NALFIA is a two-step assay format: the target nucleic acid in the sample is first amplified using tagged primers, and the tagged dsDNA amplicons are captured by antibodies immobilized on the NALFIA device, resulting in signal development from the binding of a streptavidin-colloidal gold conjugate to a biotin tag on the captured amplicons. Triplex amplification of the N gene of NiV, the UpE gene of MERS-CoV, and the Vp40 gene of REBOV was optimized, and three compatible combinations of hapten labels and antibodies were identified for end point detection. The lowest RNA copy numbers detected by the triplex NALFIA were 8.21e4 for the NiV N target, 7.09e1 for the MERS-CoV UpE target, and 1.83e4 for the REBOV Vp40 target. Using simulated samples, the sensitivity and specificity for MERS-CoV and REBOV targets were estimated to be 100%, while the sensitivity and specificity for the NiV target were 91% and 93.3%, respectively. The compliance rate between triplex NALFIA and real-time RT‒PCR was 92% for the NiV N target and 100% for the MERS-CoV UpE and REBOV Vp40 targets.

Dissimilar metal welding is seeing growing adoption across industries to enhance structural functionality and efficiency. Achieving high-quality, defect-free dissimilar weld joints requires a comprehensive understanding of the interrelationships between the welding-induced microstructural changes and the material's performance characteristics, particularly its fracture-related properties. This study investigates the impact of microstructural changes on the fracture toughness of dissimilar welds between structural low-carbon steel (S355J2) and austenitic stainless steel (SS316L) prepared using the Rotary Friction Welding (RFW) technique. Welding preforms were created from respective pipe pup pieces. The evaluation involves microstructural analysis, tensile testing, hardness testing, and fracture toughness testing using compact tension specimens derived from various zones of the weld joints. Results revealed significant microstructural differences across the weld joint. The weld region exhibited stable hardness with a maximum of 208 HV1 in S355J2′s thermo-mechanically affected zone (TMAZ). High tensile strength (Ultimate Tensile Strength 540 MPa, Yield Strength 367 MPa) with failures mainly on the S355J2 side. The fracture toughness (KQ) matched parent metal values, with the RFW weld centre line (WCL) showing superior crack tip opening displacement (CTOD) of 0.35 mm. Fractography generally indicates ductile failure.

Background There is strong evidence that those recruited into studies are not always representative of the population for whom the research is most relevant. Development of the study design and funding decisions are points in the research process where considerations about inclusion of under-served populations may usefully be made. Current practical guidance focuses on designing and modifying participant recruitment and retention approaches but an area that has not been addressed is recruitment site selection. Methods We present case studies of three NIHR funded trials to demonstrate how publicly available UK population datasets can be used to facilitate the identification of under-served communities for inclusion in trials. The trials have different designs, address different needs and demonstrate recruitment planning across Trauma centres, NHS Trusts and special educational settings. We describe our use of national freely available datasets, such as those provided by NHS Digital and the Office for National Statistics, to identify potential recruitment sites with consideration of health status, socio-economic status and ethnicity as well as clinical and risk factors to support inclusivity. For all three studies, we produced lists of potential recruitment sites in excess of the number anticipated as necessary to meet the recruitment targets. Discussion We reflect on the challenges to our approach and some potential future developments. The datasets used are all free to use but each has their limitations. Agreeing search parameters, acceptable proxies and identifying the appropriate datasets, then cross referencing between datasets takes considerable time and particular expertise. The case studies are trials, but the methods are generalisable for various other study types. Conclusion Through these exemplars, we aim to build on the NIHR INCLUDE project, by providing trialists with a much needed practical approach to embedding EDI into trial design at the grant application stage.

Introduction: In traditional Chinese medicine (TCM), Benincasa hispida (B. Hispida) has a long history of use as a medicinal herb. Benincasa hispida contains a wide range of phytochemical elements, with the five most notable bioactive substances being Flavonoids, alkaloids, Tannins, Saponins and Phenols were also present. Numerous pharmacological activities, such as antioxidant, anti-cancer, and antiviral properties, have been established by these substances. Furthermore, B. Hispida has been studied for its ability to treat a variety of illnesses, including cancer, heart problems, and neurological issues. This review aims to provide an updated overview of the phytochemical constituents and pharmacological attributes B. Hispida.Method: A thorough search of scientific databases, such as Web of Science, PubMed, and Scopus, was done in order to find pertinent research up to 2002 to 2023. There have more than 90 review and research papers from scientific sources collected with inclusion criteria of ethno pharmacological uses of selected herb and exclusion criteria of herbs including botanical description's, morphological patterns of selected herb etc.Result: Benincasa hispida highlights the continued need for scientific research and clinical evaluation by offering a compelling path for potential medicinal development.Conclusion: Different parts of Benincasa Hispida have yielded a variety of phytochemicals that might be used to cure illnesses and open up new research avenues in the future.