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Salicylates from plant sources have been used for centuries by different cultures to treat a variety of ailments such as inflammation, fever and pain. A chemical derivative of salicylic acid, aspirin, was synthesised and mass produced by the end of the 19th century and is one of the most widely used drugs in the world. Its cardioprotective properties are well established; however, recent evidence shows that it can also act as a chemopreventive agent. Its antithrombotic and anti-inflammatory actions occur through the inhibition of cyclooxygenases. The precise mechanisms leading to its anticancer effects are not clearly established, although multiple mechanisms affecting enzyme activity, transcription factors, cellular signalling and mitochondrial functions have been proposed. This review presents a brief account of the major COX-dependent and independent pathways described in connection with aspirin’s anticancer effects. Aspirin’s unique ability to acetylate biomolecules besides COX has not been thoroughly investigated nor have all the targets of its primary metabolite, salicylic acid been identified. Recent reports on the ability of aspirin to acetylate multiple cellular proteins warrant a comprehensive study to investigate the role of this posttranslational modification in its anticancer effects. In this review, we also raise the intriguing possibility that aspirin may interact and acetylate cellular molecules such as RNA, and metabolites such as CoA, leading to a change in their function. Research in this area will provide a greater understanding of the mechanisms of action of this drug.

Traffic flow prediction is an essential part of the intelligent transport system. This is the accurate estimation of traffic flow in a given region at a particular interval of time in the future. The study of traffic forecasting is useful in mitigating congestion and make safer and cost-efficient travel. While traditional models use shallow networks, there has been an exponential growth in the number of vehicles in recent times and these traditional machine learning models fail to work in current scenarios. In our paper, we review some of the latest works in deep learning for traffic flow prediction. Many deep learning architectures include Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Restricted Boltzmann Machines (RBM), and Stacked Auto Encoder (SAE). These deep learning models use multiple layers to extract higher level of features from raw input progressively. The latest deep learning models developed to tackle this very problem are reviewed and due to the complexity of transport networks, this review gives the reader information about how various factors influence these models and what models work best in different scenarios.

Plant RuBisCo, a complex of eight large and eight small subunits, catalyzes the fixation of CO₂ in photosynthesis. The low catalytic efficiency of RuBisCo provides strong motivation to reengineer the enzyme with the goal of increasing crop yields. However, genetic manipulation has been hampered by the failure to express plant RuBisCo in a bacterial host. We achieved the functional expression of Arabidopsis thaliana RuBisCo in Escherichia coli by coexpressing multiple chloroplast chaperones. These include the chaperonins Cpn60/Cpn20, RuBisCo accumulation factors 1 and 2, RbcX, and bundle-sheath defective-2 (BSD2). Our structural and functional analysis revealed the role of BSD2 in stabilizing an end-state assembly intermediate of eight RuBisCo large subunits until the small subunits become available. The ability to produce plant RuBisCo recombinantly will facilitate efforts to improve the enzyme through mutagenesis.

Coronavirus disease 2019 personal protective equipment has been reported to affect communication in healthcare settings. This study sought to identify those challenges experimentally. Bamford-Kowal-Bench speech discrimination in noise performance of healthcare workers was tested under simulated background noise conditions from a variety of hospital environments. Candidates were assessed for ability to interpret speech with and without personal protective equipment, with both normal speech and raised voice. There was a significant difference in speech discrimination scores between normal and personal protective equipment wearing subjects in operating theatre simulated background noise levels (70 dB). Wearing personal protective equipment can impact communication in healthcare environments. Efforts should be made to remind staff about this burden and to seek alternative communication paradigms, particularly in operating theatre environments.

In the current research, Java Apple leaves were used to prepare activated carbons using physical, chemical and microwave activation processes. These highly surface-area activated carbons were used to investigate the adsorption of the cationic dye malachite green. To better understand the adsorption process, variables such as contact time, initial dye concentration, and temperature were used in batch tests. FTIR, FE-SEM, XRD and TGA techniques were used to analyse prepared carbons. In activated carbons, there is a strong peak at 2902 cm −1 which is a consequence of the methylene group being stretched asymmetrically. While TGA demonstrated the stability of activated carbons as a function of temperature, XRD demonstrated the existence of crystalline nature in them. The surface morphology of activated carbon was revealed by SEM pictures. Adsorption isotherms were investigated using both the Langmuir and the Freundlich isotherms. For physically modified carbon, the adsorption capability of the adsorbent was discovered to be 64.37 mg/g at room temperature. About 95.5–91.8% of the dye was removed for an initial dye concentration in the range of 20–100 mg/g in 1 hour. Kinetic data were analysed by the second-order kinetic equations, and the maximum rate constant value was 0.025 (mg/min). The van't Hoff equation was used to calculate the thermodynamic parameters ∆H # , ∆S # , and ∆G # . In comparison to the other two synthesized activated carbon materials, physically modified carbon is more efficient at adsorbing the dye malachite green. It can be attributed to the maximum ∆G # of − 12.56 kJ/mol. Graphical Abstract

Understanding the drivers for care-seeking among those who present with symptoms of TB is crucial for early diagnosis of TB and prompt treatment, which will in turn halt further TB transmission. While TB is a challenge among the tribal population, little is known about the care-seeking behaviour and the factors influencing care-seeking behaviour among the tribal population across India. This community-based descriptive study was carried out in 17 states of India across 6 zones, covering 88 villages from tribal districts with over 70% tribal population. The sample population included individuals ≥15 years old who were screened through an interview for symptoms suggestive of pulmonary TB (PTB), currently and/or previously on anti-TB treatment. Those with symptoms were then assessed on their health-seeking behavior using a semi-structured interview schedule. Among 74532 eligible participants screened for symptoms suggestive of TB, 2675 (3.6%) were found to be presumptive TB cases. Of them, 659 (24.6%) sought care for their symptoms. While 48.2% sought care after a week, 19.3% sought care after one month or more, with no significant difference in the first point of care; 46.9% approaching a private and 46.7% a public facility. The significant factors influencing care-seeking behaviour were knowledge on TB (OR: 4.64 (3.70-5.83), p < 0.001), age<35 years (OR: 1.60 (1.28-2.00), p < 0.001), co-morbidities like asthma (OR: 1.80 (1.38-2.35), p < 0.001) and blood pressure (OR: 2.59 (1.75-3.85), p < 0.001), symptoms such as blood in sputum (OR: 1.69 (1.32-2.16), p < 0.001), shortness of breath (OR: 1.43 (1.19-1.72), p < 0.001) and weight loss (OR: 1.59 (1.33-1.89), p < 0.001). The cough was the most often reported symptom overall. There were gender differences in symptoms that prompted care-seeking: Males were more likely to seek care for weight loss (OR: 1.78 (1.42-2.23), p<0.001), blood in the sputum (OR: 1.69 (1.25-2.28), p<0.001), shortness of breath (OR: 1.49 (1.18-1.88), p<0.001) and fever (OR: 1.32 (1.05-1.65), p = 0.018). Females were more likely to seek care for blood in sputum (OR: 1.68 (1.10-2.58), p = 0.018) and shortness of breath (OR = 1.35, (1.01-1.82), p = 0.048). The cough did not feature as a significant symptom that prompted care-seeking. Delayed healthcare-seeking behaviour among those with symptoms presumptive of TB in the tribal population is a major concern. Findings point to differences across gender about symptoms that prompt care-seeking in this population. Gender-sensitive interventions with health system strengthening are urgently needed to facilitate early diagnosis and treatment among this population.

Audiologists are hearing healthcare specialists dedicated to the rehabilitation of individuals with hearing loss by prescribing the appropriate amplification devices. The process of choosing and fitting hearing aids involves several steps for which standardized guidelines have been issued. The aim of the present investigation was to evaluate the patterns of practice employed by Indian audiologists in the evaluation and fitting of hearing aids for adults. The survey was conducted using an Online questionnaire and distributed to Audiologists practicing in different parts of India via Google form link between April-August 2020. In all, 158 Audiologists participated in the study. The questionnaire consisted of 48 questions distributed over seven domains which included Respondent’s Profile, Hearing aid fitting experience with Adults, Assessment protocols, Hearing aid selection, Hearing aid fitting, Hearing aid verification, and Skills and Confidence levels of Audiologists. The findings of the study revealed varying practice trends, particularly during the stages of hearing aid verification and validation. There were also differences in the Audiologists’ proficiency and confidence in carrying out the various stages of fitting hearing aids.

Fungi live different lifestyles—including pathogenic and symbiotic—by interacting with living plants. Recently, there has been a substantial increase in the study of phytopathogenic fungi and their interactions with plants. Symbiotic relationships with plants appear to be lagging behind, although progressive. Phytopathogenic fungi cause diseases in plants and put pressure on survival. Plants fight back against such pathogens through complicated self-defense mechanisms. However, phytopathogenic fungi develop virulent responses to overcome plant defense reactions, thus continuing their deteriorative impacts. Symbiotic relationships positively influence both plants and fungi. More interestingly, they also help plants protect themselves from pathogens. In light of the nonstop discovery of novel fungi and their strains, it is imperative to pay more attention to plant–fungi interactions. Both plants and fungi are responsive to environmental changes, therefore construction of their interaction effects has emerged as a new field of study. In this review, we first attempt to highlight the evolutionary aspect of plant–fungi interactions, then the mechanism of plants to avoid the negative impact of pathogenic fungi, and fungal strategies to overcome the plant defensive responses once they have been invaded, and finally the changes of such interactions under the different environmental conditions.

The use of personal listening devices (PLDs) is becoming increasingly popular, particularly among young people. Numerous studies have demonstrated that being exposed to PLDs can have adverse effects on the auditory system. Owing to the similarities between the auditory and vestibular systems, it is possible that the negative effects of PLD use may extend to the vestibular system, an area that has not been extensively studied. The study aimed to investigate the impact of exposure to PLDs on the vestibular system, specifically the sacculo-collic reflex assessed by the cervical vestibular-evoked myogenic potential. The current study used a cross-sectional study design. A total of 80 participants were divided into four groups based on the history of PLD exposure. Each group consisted of 20 participants who underwent cervical vestibular-evoked myogenic potential (cVEMP) testing using alternating polarity 500 Hz tone bursts. Analysis of variance (ANOVA) and Bonferroni post hoc test were used to obtain the statistically significant difference among the group. The results showed that the amplitude of p1-n1 of cVEMP was significantly reduced in individuals with longer PLD exposure duration. The study suggests that listening to music through a PLD at high levels of volume controls could be deleterious to the vestibular well-being of an individual. The study highlights the importance of being aware of the adverse effects of using PLDs to prevent potential damage to the vestibular systems.

The accurate determination of the post-dilution concentration of biological buffers is essential for retaining the necessary properties and effectiveness of the buffer to maintain stable cellular environments and optimal conditions for biochemical reactions. In this work, we introduce a silicon-based impedance chip, which offers a rapid and reagent-free approach for monitoring the buffer concentrations after dilution with deionized (DI) water. The impedance of the impedance chip is measured, and the impedance data are modeled using a multiparameter equivalent circuit model. We investigated six aqueous biological buffers with pH values above and below the physiological pH for most tissues (pH ~ 7.2–7.4) following dilution with DI water by factors of 2.0, 10.0, 20.0, 100.0, and 200.0. The impedance measurement is then performed for the frequency spectrum of 40 Hz to 1 MHz. From the interpretation of the impedance measurement using the multiparameter equivalent circuit model, we report a buffer-sensitive equivalent circuit parameter RAu/Si of the silicon-based impedance chip showing a linear trend on a logarithmic scale with the buffer concentration change after dilution. The parameter RAu/Si is independent of the buffer pH and the added volume. The results demonstrate the efficacy of the silicon-based impedance chip as a versatile tool for precise post-dilution concentration determination of diverse biologically relevant buffers. The presented impedance chip offers rapid, accurate, and reliable monitoring, making it highly suitable for integration into automated liquid-handling systems to enhance the efficiency and precision of biological and chemical processes.