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Background: phosphaturic mesenchymal tumor (PMT) is a rare neoplasm in which the tumor cells produce fibroblast growth factor 23 (FGF23), leading to oncogenic osteomalacia and thus a distinct clinical presentation. Case presentation: A 39-year-old male patient presented with 6 months history of progressive weakness in the legs and feet, which was later accompanied by upper extremity pain and left-sided nose blockade. On examination, was found to have a left-sided nasal cavity mass. Histopathologic examination was suggestive of PMT.

Tinospora cordifolia is a medically valuable plant widely used in Ayurveda and has been attributed with immunomodulatory properties. We compared the immunomodulation of repeated doses of the purified polysaccharide G1-4A and polysaccharide-rich extract (PRE) of T. cordifolia in BALB/c mice. Since both had comparable effects, we further compared the repeated dose effects of 50 and 500 mg/kg b.w PRE per dose with particular emphasis on histological changes in different organs, splenic cell death and DNA damage and immunomodulation. In mice treated with both concentrations of PRE, no gross changes were observed in any organ by histopathological analyses along with normal biochemical parameters similar to control. There was no increase in splenic lymphocyte cell death or DNA damage. A significant increase in the number of splenic macrophages with no increase in phagocytosis was observed. Increased expression of phenotypic maturation markers was observed in splenic dendritic cells and not in bone marrow-derived dendritic cells of PRE-treated mice. Increased activation of B cells in response to mitogen with no change in such a response by T cells was also observed. These results from repeated dose experiments indicate that PRE treatment has no associated organ toxicity and activates antigen-presenting cells and thus can be used instead of G1-4A as a promising immunotherapeutic adjuvant.

In this study, the protective effect of curcumin on sodium nitrite (NaNO2) induced hepatotoxicity was assessed in male Wistar rats. Wistar rats were administered orally daily with 20 mg/kg of curcumin for 28 days and NaNO2 was administered as a single dose of 60 mg/kg on day 28. Lipid profile, liver function biomarkers and C-reactive protein were assessed in the serum; lipid peroxidation, non-enzymatic and enzymatic antioxidants were assessed in the liver. Alanine amino transferases (94.67 U/L), aspartate amino transferases (194.33 U/L), alkaline phosphatases, C-reactive proteins (19.56 ng/L) and lipid peroxidation (8.03 × 10−6 μmol/mg protein) were significantly elevated (P

High-energy-density liquid fuels can be utilized as an energetic supplement to conventional fuels and are essential for volume-limited aerospace vehicles to boost payload and flying range. JP-10 has attracted much attention because of its high density, flash point, high volumetric heat, and low freezing point. Here we report the hydroisomerization of endo-tetrahydrodicyclopentadiene to exo-tetrahydrodicyclopentadiene (the main component of JP-10) was investigated over the TiO2/SO4 supported Ba(10 %)/Se(5–20 %) catalysts. This work aims to examine changes in continuous processing settings to maximize exo-THDCPD production, selectivity, and conversion. It was discovered that the synthesized TiO2/SO4/Ba(10 %)/Se(5–20 %) heterogeneous catalysts were novel, more effective, affordable, environmentally friendly, and simple to produce. The catalyst’s physicochemical characteristics were examined using FT-IR, BET, XRD, HR-SEM, HR-TEM, TGA and NH3-TPD. The produced TiO2/SO4/Ba(10 %)/Se(5–20 %) nano-catalysts have good catalytic activity and a wide range of active Lewis and Brønsted acid sites. Evaluation of the isomerization of endo-THDCPD to exo-THDCPD was conducted in a high-pressure fixed-bed continuous reactor operating at 200 °C, 20 bar of pressure, and 4.0mol/h of H2 flow rate. According to the investigations, the synthesized catalyst with a 15 % Se load performs exceptionally well, exhibiting 100 % conversion, 98.5 % selectivity, and 98.5 % yield at an H2 flow rate of 10 ml/min. The isomerized product is used in Jet Propellant-10, a high-density fuel. Under ideal circumstances, exo-THDCPD with a high degree of purity (>98 wt%) was produced without the need for any sort of separation technique.

Bleeding complications are a bane of continuous flow left ventricular assist devices (cfLVAD); gastrointestinal bleeding (GIB) from arteriovenous malformation (AVM) predominating. We hypothesized that shear stress disrupts vascular endothelium altering angiogenesis and contributing to bleeding. We profiled markers of endothelial dysfunction (soluble thrombomodulin [sTM]) and angiogenesis (angiopoietin-1 [Ang-1], angiopoietin-2 [Ang-2]) in 21 patients implanted with a centrifugal cfLVAD. Bleeding episodes were documented in 11 patients, 8 had GIB, 4 of whom had AVMs. We observed a dynamic change in sTM and Ang-2/Ang-1 ratio following cfLVAD support (p = 0.030 and p = 0.025, respectively). Bleeding patients had higher sTM and Ang-2/Ang-1 ratios than patients with no bleeding (p = 0.04 and p = 0.06, respectively). At D180, patients with AVMs had significantly higher Ang-2/Ang-1 ratios vs patients without proven AVMs (p = 0.006). We conclude that bleeding in cfLVAD-supported patients is associated with alteration in endothelial/vascular homeostasis, possibly contributing to AVM formation.

Copper nanoparticles (CuNPs) have garnered considerable attention owed to their straightforward and cost-effective synthesis techniques, making them suitable for various applications across several fields. This paper describes a straightforward method for synthesizing CuNPs using the aqueous chemical reduction approach. A unique copper nanozyme (CNZ) is also prepared to degrade dyes. The nanoparticles were analyzed using various techniques to examine their morphological structure, optical properties, functional groups, and crystallite size via SEM, UV–visible spectrophotometry, FTIR, XRD, and zeta potential with particle size analyzer. SEM analysis showed that the CuNPs have a cubical form, with particle size fluctuating from 250 to 300 nm. The CNZ has a flower-like structure with a typical 100 to 150 nm size. The zeta potential of CuNPs is measured to be + 23.4 mV, indicating a high level of stability for the nanoparticles. The XRD evaluation showed that the CuNPs displayed a prominent peak at an angle of 36.64°, indicating a crystallite size of 26.97 nm. The CNZ displayed a peak at 31.18 nm, corresponding to a crystallite size of 44.84 nm. The capacity of CuNPs and CNZ to degrade a combination of dyes (Methyl orange, Methyl red, Congo red, Tropaeolin-O, and Tartrazine) was investigated. The innovative approach utilizing CNZ and CuNPs resulted in a degradation percentage of 84.61 % for mixed colors. Experimental findings have demonstrated that the combined effect of CuNPs and CNZ is remarkably effective in catalytically degrading azo dyes, making it a highly efficient method for treating effluents from the textile sector and wastewater treatment.

The reliable characterisation of the physicochemical properties of micro-sized plastic particles requires quality reference materials for establishing, calibrating, and validating methods. Heterogeneity in particle size, shape and surface chemistry are important factors for reference materials for them to mimic environmental microplastics. This paper introduces a method for preparing model polystyrene micro and nano plastic reference materials using a solvent dissolution-precipitation approach. Polystyrene microplastic particles with mean particle sizes of 0.35, 15.7, 30.0 and 52.3 micron were produced using solvent precipitation under different synthesis conditions with the particle present in a well dispersed and partially dispersed system. The particle size can be controlled by reducing the initial polystyrene-cyclohexane concentration and adjusting the volume of methanol. At a fixed polystyrene-cyclohexane ratio, particles within the specified size range were consistently produced. Chemical analysis using pyrolysis-gas chromatography-mass spectrometry revealed that synthesized microplastics maintain their chemical properties, aligning with the original composition of virgin polystyrene pellets. A similar conclusion was drawn after examining the surface chemistry of the virgin and synthesised microplastic particles using ATR-FTIR analysis. The polystyrene particles produced in this way may be of use as reference materials and might be of interest for toxicological studies.

Background: Mulligan mobilization and ultra sound application reduce the joint stiffness and improves range of motion in shoulder joint. This quasi experimental study has been undertaken to find out the results of these interventions in grade II supraspinatus tendinitis patients. Methods: Quasi experimental study comprised of total 50 male subjects divided into two groups. Subjects who diagnosed supraspinatus grade II tendinitis male subjects and referred were taken for this study. Control group received ultrasound therapy, ice cube massage and shoulder mobility exercises. Movement with mobilization with ultrasound therapy were given to experimental group. Mulligan mobilization with movement of 10 repetitions, between sets 30 seconds rest, in a week 6 sessions with 24 hrs gap between sessions. Pre and post, 1 month follow up values of outcome measures abduction and external rotation ROM of shoulder joint and SPADI were collected for statistical analysis. Results: Statistically significant improvement in all the outcomes in both the control and experimental groups except from SPADI in both groups with p

The telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one company to another within a specified timeframe. Telecom managers and analysts investigate why customers cancel their subscriptions and analyze the behavior patterns of customers who have stopped using the services. In this work employs categorization methodologies to determine the instances of leave subscriptions and gathers the rationales behind client leave subscriptions in the telecommunications sector. The primary objective of this work is to examine various machine learning algorithms necessary for creating customer churn prediction (CP) models and identifying the reasons for churn. This work aims to provide retention strategies and plans to address churn. This work utilizes machine learning (ML) technique such as random forests (RF) to collect and classify client data for leave subscriptions. These results compare with other ML algorithm such as support vector machines (SVM), gradient boosting (GB), Extreme Gradient Boosting (XGBoost), and light gradient boosting machines (LGBM), The business model provides a practical analysis of customer churn data, enabling accurate forecasts of customers likely to churn. This allows business management to take timely action to prevent churn and minimize profit loss. In this work obtains an accuracy of 98.1 % by utilizing the random forest classifier for churn prediction. The classifier matrix has obtained a precision of 92.8 % and a recall factor of 92.7 %, resulting in an overall accuracy of 95.6 %. Similarly, our research endeavors enhance churn prediction, encompass additional business domains, and furnish prediction models to retain their current consumers, improve customer service, and efficiently prevent churn.

Coldeniaprocumbens leaf extract assisted green synthesis of gadolinium-doped bismuth oxide nanoparticles (Gd-Bi2O3NPs) was demonstrated. Electron microscopic analysis indicated that the Gd-Bi2O3 has nanoflake-like shape with a narrow size distribution of 20–30 nm. FT-IR and XRD analysis confirmed the doping of Gd-ions into Bi2O3 crystal structure. The UV–vis spectral investigation was carried to know the characteristic absorbance peaks and the band gap of Gd-Bi2O3 samples. The antibacterial activity of Gd-Bi2O3 samples was evaluated against Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae and Enterococcus faecalis. The larvicidal activity of Gd-Bi2O3 samples was also evaluated against the mosquito larvae of Aedesaegypti and Aedesalbopictus. Furthermore, the photocatalytic potential of Gd-Bi2O3 samples has been evaluated using malachite green (MG) and methylene blue (MB) dyes under visible light radiation. The green Gd-Bi2O3 samples displayed potent antibacterial, larvicidal, and photocatalytic activities, making them a promising candidate for environmental remediation applications.

Background: Excessive daytime sleepiness (EDS), a cardinal symptom of obstructive sleep apnea (OSA) is assessed using Epworth Sleepiness Scale (ESS). Some limitations of ESS include graded responses, inapplicable situations and equal scores for active and passive situations. To overcome these limitations, we developed a novel sleepiness scale and evaluated its performance in patients with OSA. Methods: The study was executed in multiple phases. After determining applicability of items in the ESS, a 6-item questionnaire was developed comprising OSA symptoms and self-reported ‘sleepy’ situations, dichotomized responses and weighted scoring. After content and face validation by experts, the scale was tested for applicability and its performance was compared with ESS in patients with suspected OSA. Results: In phase I, applicability of ESS was tested in 189 participants, of whom 98 (51.8 %) participants found multiple items inapplicable.In phase II, 34 self-reported sleepy situations from 200 participants were narrowed down to a 6-item questionnaire, based on expert validation. This scale was named the Indian Sleepiness Scale (ISS) and was tested for applicability in phase III in 226 participants from diverse literacy backgrounds, who found all situations applicable.In phase IV, ISS and ESS were administered to 335 patients with suspected OSA. OSA was confirmed on polysomnography in 294 (87.7 %) patients. A cut-off score of ≥6 was derived for ISS; at this cut-off score, the ISS which was more sensitive than ESS (71.1 % vs 43.2 %). Conclusions: The Indian Sleepiness Scale was found to be widely applicable and more sensitive than ESS for sleepiness evaluation in patients with OSA.

Sodium glucose cotransporter 2 inhibitors (SGLT2i) are an established treatment for heart failure and type 2 diabetes. Guidelines suggest withholding SGLT2i preoperatively due to the risk of ketoacidosis. Orthotopic heart transplantation (OHT) occurs without sufficient notice to cease SGLT2i treatment before surgery. In a retrospective analysis of 163 OHT recipients (40 exposed to SGLT2i, 123 not exposed), we show no increase in rates of mild, moderate, or severe acidosis postoperatively. No cases of ketoacidosis occurred, likely due to the fact that 97% of patients received insulin infusions postoperatively for transient postoperative hyperglycemia. Patients exposed to SGLT2i had shorter length of stay in the intensive care unit and improved adjusted survival overall. These findings support the safety of SGLT2i use up to the time of OHT with routine use of a postoperative insulin infusion.

Summary: The emerging predictors of childhood undernutrition include household food insecurity (HFI) and inadequate diet diversity (DD). Geographical, socio-cultural, economic, and demographic factors contribute to HFI. Earlier, HFI was often considered an outcome of hunger and poverty leading to undernutrition. The increasing availability of data related to childhood DD and its direct association with undernutrition indicates that DD could mediate the relationship between HFI and undernutrition. This narrative review examined the association of HFI and/or DD with undernutrition in children younger than 5 years in the Indian subcontinent; and the current programmes and policies. The current evidence showed a possible association between HFI and DD either independently or together with childhood undernutrition. Until now, nutrition-specific interventions to address moderate and severe forms of undernutrition were focused, with a limited attention on nutrition-sensitive approaches to improve HFI and DD. Interventions which improve HFI and DD may be included in the existing programmes and would help address the undernutrition in children younger than 5 years.

Let G be a connected graph with vertices V and edges E. Rubbling is a recent development in graph theory and combinatorics. In graph rubbling an extra shift is allowed that adds a pebble at a node after the deletion of one pebble each at two neighbouring vertices. For the first time, we introduce the concept of monophonic rubbling numbers into the literature. A monophonic rubbling number, μr(G), is the least number m required to ensure that any vertex is reachable from any pebble placement of m pebbles using a monophonic path by a sequence of rubbling shifts. We calculate the upper bound and lower bound using the monophonic rubbling number of some standard graphs and derived graphs.

The influence of heat radiation on HMT, MHD on a porous stretched sheet has been explained in this study. The governing PDEs are converted to ODEs via similarity transformations. The coefficient of skin friction, rate of HMT are calculated using the MATLAB software for various parameter values. The controlling boundary layer PDEs are turned into a system of coupled nonlinear ODEs via similarity techniques, which are numerically solved using the shooting technique in conjunction with the fourth order Runge Kutta method, and then ANN is applied to them. Validation of numerical results using ANN results. We discovered that using engineering standpoints, an ANN model may produce high-efficiency estimates for heat transfer rates. The achieved R squared values of 99% for predicting Skin friction, Nusselt number and Sherwood number coefficients highlight the remarkable effectiveness of neural network models in these predictions. This efficacy not only demonstrates the accuracy of the models but also results in a significant reduction in the computational time required compared to traditional numerical methods. Furthermore, when compared to alternative numerical approaches, the current ANN model stands out for its applicability to more complex mathematical models, because its efficiency in minimizing both time and processing capacity demands in solving such problems.

Computational and experimental investigation of synthesized Zn(II) complex. Salicylaldehyde semicarbazone (SSC) and ortho phenylene diamine (OPDA) were the ligands for the preparation of Zn(II) metal complex. Using quantum chemistry simulations at DFT/B3LYP/LANL2DZ level of theory. FT-IR, UV, and Mass spectrometry methods were characterized the complex. The computed small gap energy demonstrated that the Zn(II) molecule had good biological activity. Measured dipole moment and first-order hyperpolarizability values were useful to investigate the complex NLO activity. Intra-molecular charge transfer, donor-acceptor transitions, and stabilization energies were determined by analyzing natural bond orbital (NBO) and Mulliken charges. Electrophilic and nucleophilic interactions were performed with the MEP map. QTAIM framework explained the nature of different intermolecular interactions within the molecule. Moreover, the ADMET studies of Zn(II) compound were also analyzed. The title molecule showed good antibacterial activity.

This study reports the synthesis and characterization of a novel compound, a chalcone-based Schiff base (SBC), with potential applications in anti-inflammatory and anti-diabetic treatments. Chalcones, known for their diverse biological activities, are combined with Schiff bases, versatile compounds, to create the SBC. The synthesis process involves aldol condensation and Schiff base formation. The compound's structure is confirmed through NMR, FT-IR, and mass spectroscopic analyses. The UV–visible spectroscopy reveals the compound's electronic properties, and molecular docking experiments indicate its potential to interact with enzymes related to inflammation and diabetes. Anti-inflammatory activity is evaluated through a protein denaturation assay using bovine serum albumin. SBC demonstrates significant anti-inflammatory activity, outperforming standard drug molecules, and exhibits concentration-dependent effects. In an α-amylase inhibitory assay, a vital enzyme in the digestive process related to diabetes, SBC shows remarkable inhibition, surpassing standard drug performance, especially at higher concentrations. Molecular docking studies suggest the compound's potential interactions with enzymes responsible for inflammation and diabetes. SBC displays strong binding energies and inhibition constants with α-amylase, indicating its suitability for diabetes-related studies. The synthesis and characterization of SBC, combined with its excellent anti-inflammatory and anti-diabetic activities, underscore its potential as a promising candidate for further biomedical research and therapeutic development.

Introduction: Labor is a physiological process that causes severe discomfort, leading to maternal dissatisfaction. Snoezelen therapy, a multisensory complementary therapy, promotes comfort and relaxation by releasing endorphins, thereby improving satisfaction during the labor process. Objective: To assess the effectiveness of Snoezelen therapy on pain perception, labor outcomes, and maternal satisfaction among parturients. Methods: An experimental pretest-posttest control design was conducted among 74 parturient selected using consecutive sampling techniques in South India. Baseline observations were obtained at the beginning of the active stage, after which the study group parturient were subjected to Snoezelen therapy until reaching 10cm of cervical dilatation. Hourly assessments of pain, using a numerical pain scale, were performed. Labor outcomes were measured in terms of labor duration and mode of delivery. Maternal satisfaction with the birth experience and satisfaction with Snoezelen therapy components were collected 24 h after delivery. Descriptive and inferential statistics were used for data analysis. Results: A statistically significant decrease in pain perception (p

Background: Wnt signalling pathway, is mediated by members of T-cell factor (TCF) transcription factors family, is essential for the control of epithelial cell proliferation and death. Glucose transporter-5 (GLUT5), fructose-specific transporter, is also important in allowing transcellular fructose uptake. The goal of this work to determine how the High fructose Corn Syrup (HFCS) affected Wingless-related integration site (Wnt) and Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signalling in the 7,12 –dimethylbenzaanthracene (DMBA)-induced hamster buccal pouch carcinogenesis (HBPCs) model. Methods: Four groups of hamsters were created. For 12 weeks, 0.5 % DMBA was applied 3 times/week to the left side buccal pouches of the hamsters in groups (2 & 4). Additionally, the animals in groups (3 & 4) were given through drinking water of HFCS 25 %. The control animals were from group 1. By using western blot analysis, signalling network markers of the GLUT-5, Wnt, TCF-4, GSK-3β and NF-κB as well as mitochondrial apoptotic pathway marker expression B-cell lymphoma protein 2 (Bcl-2)-associated X (Bax) and cyclooxygenase – 2 (COX-2) was assessed. Results: Drinking water uptake of 25% HFCS encouraged progress of HBP carcinomas by constitutive stimulating of the Wnt pathway via GSK-3β overexpression. HFCS suppressed Wnt signalling which contributed the NF-κB attenuation and changes the signalling markers in apoptotic network. Conclusions: Our hypothesis suggests a mechanically crosstalk between Wnt and NF-κB signalling pathways in HBP carcinomas that is developed by HFCS. HFCS that targets the Wnt pathway and its downstream signalling mediators could be additive reason for cancer development.

Verataldehyde (3,4-dimethoxybenzaldehyde) was used as a precursor for various industrial applications, such as flavouring agents, odorants, and pharmaceuticals. The major approach of this study is to convert veratryl alcohol to veratraldehyde, and the whole reaction was carried out in a continuous-process reactor. A bimetallic catalyst was prepared by the wet impregnation method in four different ratios by varying the metal percentage (Mn-10 % and Zn-5–20 %). These metals were incorporated into the activated carbon, which has a high mesoporous nature and was prepared from the used waste surgical mask. The catalysts were subjected to analysis and characterization. Textural characteristics, morphology, chemical properties, and stability of the catalyst were ascertained by utilizing X-ray diffraction, Brunauer-Emmett-Teller, N2 adsorption–desorption isotherm, Fourier transform infrared spectroscopy, and a transmission electron microscope. By varying the continuous reactor parameters such as pressure, temperature, WHSV−1, and reaction time, the catalysts were optimised to achieve the maximum conversion and selectivity of the veratryl alcohol. The AC-Mn (10 %)/Zn (15 %) catalyst was carried out under ideal conditions: 90 °C, 5 mL of TBHP as the solvent, 15 bar of pressure, and 3.2 g of catalyst proven a greater result in the reaction with a conversion and selectivity of 98 %. The stability and reusability of the catalyst were confirmed by delivering a 95.8 % yield even after five reaction runs. A continuous reaction study can provide valuable inputs for the commercial exploitation of veratryl alcohol (VA) to veratraldehyde (VAld). Again, catalytic support was synthesised utilising waste products, and the metal components are cost-effective as compared to noble metals.

Pressure sensors in the range of 0 – 100 Pa are used in medical ventilators to monitor and control the air pressure delivered to patients during breathing assistance. They ensure precise control of low-pressure airflow in respiratory support systems. In this paper, an l-shaped meander and circular diaphragm based capacitive pressure sensor is designed and analyzed at ultra-low pressures. The pull – in voltage of the design is evaluated and observed to be 7.34 V where the electrostatic force is observed as 8.2 µN. The deflection of the diaphragm at various voltages less than the pull – in voltage is analyzed by applying the external pressure (measurand) and observed that the impact of electrostatic forces is weak when the driving voltage is less than half of the pull – in voltage.

Purpose: Eccentric viewing training for macular disease has been performed for > 40 years, but no large studies including control groups have assessed the benefits of this training. The EFFECT (Eccentric Fixation From Enhanced Clinical Training) study is a large randomized controlled trial of 2 types of eccentric viewing training. Design: Randomized controlled trial. Participants: Two hundred adults with age-related macular disease. Methods: Participants were randomized to either of the following: (1) a control group; (2) a group receiving supervised reading support; (3) a group receiving 3 sessions of training to optimize the use of their own preferred retinal locus; or (4) a group receiving 3 sessions of biofeedback training of a theoretically optimal trained retinal locus. All participants received standard low-vision rehabilitation. Main Outcome Measures: The primary outcome was patient-reported visual task ability measured on the Activity Inventory instrument at goal level. Secondary outcomes included reading performance and fixation stability. Results: There was no difference between groups on change in task ability (F(3,174) = 1.48, P = 0.22) or on any of the secondary outcome measures. Visual acuity and contrast sensitivity fell in all groups, suggesting that disease progression outweighed any benefit of training. Conclusions: Eccentric viewing training did not systematically improve task ability, reading performance, or fixation stability in this study. Our results do not support the routine use of eccentric viewing training for people with progressing age-related macular disease, although this training may help people with end-stage disease. Rehabilitation of an inherently progressive condition is challenging. Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Veratryl alcohol (VA) is preferentially oxidized to veratraldehyde (VADE) using a heterogeneous catalyst, which is more favoured in industries. Commercial mordenite (Ca,Na2,K2) Al2Si10O24·7H2O) was desilicated with NaOH and loaded with nickel and iron bimetal by the wet impregnation method. The synthesised Mordenite-Fe(5 %)/Ni(5–20 %) bimetallic catalyst, possessing active Bronsted acid sites, was employed to selectively oxidize the veratryl alcohol reaction. FT-IR, XRD, BET, HR-SEM, HR-TEM, and TPD were employed to determine the catalyst's textural attributes, morphology, chemical properties, and stability. Selective oxidation was performed over the catalysts using TBHP as an oxidant in a continuous reactor. To examine the most active catalyst among the four and to maximise the conversion and yield, the reaction conditions are optimised for various reaction parameters The reaction conditions were optimized by attaining 100 % conversion at temperature (90° C) for time (2 hr) and a maximum conversion of 97 % and a selectivity of 99 % at 10 bar pressure, WHSV (1.0 h−1) with acetonitrile solvent. The result of the study display that Fe (5 %) and Ni(15 %) impregnated on mordenite exhibits excellent catalytic stability with conversion (100 %) and selectivity (99 %) among the other catalysts. During regeneration, the conversion rate declined from 99.5 to 92.4.7 % and selectivity declined from 100 % to 96.2 % at the end of the seventh cycle. The high selectivity and stability of MOR-Fe(5 %)/Ni(15 %) imply that they might function properly as appropriate catalysts for the oxidation of aromatic alcohols. The advantages of the current synthesis are its cost-efficiency and eco-friendliness.

Background: Cardiovascular magnetic resonance (CMR) imaging is an important tool for evaluating the severity of aortic stenosis (AS), co-existing aortic disease, and concurrent myocardial abnormalities. Acquiring this additional information requires protocol adaptations and additional scanner time, but is not necessary for the majority of patients who do not have AS. We observed that the relative signal intensity of blood in the ascending aorta on a balanced steady state free precession (bSSFP) 3-chamber cine was often reduced in those with significant aortic stenosis. We investigated whether this effect could be quantified and used to predict AS severity in comparison to existing gold-standard measurements. Methods: Multi-centre, multi-vendor retrospective analysis of patients with AS undergoing CMR and transthoracic echocardiography (TTE). Blood signal intensity was measured in a ∼1 cm2 region of interest (ROI) in the aorta and left ventricle (LV) in the 3-chamber bSSFP cine. Because signal intensity varied across patients and scanner vendors, a ratio of the mean signal intensity in the aorta ROI to the LV ROI (Ao:LV) was used. This ratio was compared using Pearson correlations against TTE parameters of AS severity: aortic valve peak velocity, mean pressure gradient and the dimensionless index. The study also assessed whether field strength (1.5 T vs. 3 T) and patient characteristics (presence of bicuspid aortic valves (BAV), dilated aortic root and low flow states) altered this signal relationship. Results: 314 patients (median age 69 [IQR 57–77], 64% male) who had undergone both CMR and TTE were studied; 84 had severe AS, 78 had moderate AS, 66 had mild AS and 86 without AS were studied as a comparator group. The median time between CMR and TTE was 12 weeks (IQR 4–26). The Ao:LV ratio at 1.5 T strongly correlated with peak velocity (r = −0.796, p = 0.001), peak gradient (r = −0.772, p = 0.001) and dimensionless index (r = 0.743, p = 0.001). An Ao:LV ratio of

Background: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images is usually straightforward, but diagnostic uncertainty arises when reporters are not sure whether the observed LGE is genuine or not. This uncertainty might be resolved by repetition (to remove artifact) or further acquisition of intersecting images, but this must take place before the scan finishes. Real-time quality assurance by humans is a complex task requiring training and experience, so being able to identify which images have an intermediate likelihood of LGE while the scan is ongoing, without the presence of an expert is of high value. This decision-support could prompt immediate image optimization or acquisition of supplementary images to confirm or refute the presence of genuine LGE. This could reduce ambiguity in reports. Methods: Short-axis, phase-sensitive inversion recovery late gadolinium images were extracted from our clinical cardiac magnetic resonance (CMR) database and shuffled. Two, independent, blinded experts scored each individual slice for “LGE likelihood” on a visual analog scale, from 0 (absolute certainty of no LGE) to 100 (absolute certainty of LGE), with 50 representing clinical equipoise. The scored images were split into two classes—either “high certainty” of whether LGE was present or not, or “low certainty.” The dataset was split into training, validation, and test sets (70:15:15). A deep learning binary classifier based on the EfficientNetV2 convolutional neural network architecture was trained to distinguish between these categories. Classifier performance on the test set was evaluated by calculating the accuracy, precision, recall, F1-score, and area under the receiver operating characteristics curve (ROC AUC). Performance was also evaluated on an external test set of images from a different center. Results: One thousand six hundred and forty-five images (from 272 patients) were labeled and split at the patient level into training (1151 images), validation (247 images), and test (247 images) sets for the deep learning binary classifier. Of these, 1208 images were “high certainty” (255 for LGE, 953 for no LGE), and 437 were “low certainty”. An external test comprising 247 images from 41 patients from another center was also employed. After 100 epochs, the performance on the internal test set was accuracy = 0.94, recall = 0.80, precision = 0.97, F1-score = 0.87, and ROC AUC = 0.94. The classifier also performed robustly on the external test set (accuracy = 0.91, recall = 0.73, precision = 0.93, F1-score = 0.82, and ROC AUC = 0.91). These results were benchmarked against a reference inter-expert accuracy of 0.86. Conclusion: Deep learning shows potential to automate quality control of late gadolinium imaging in CMR. The ability to identify short-axis images with intermediate LGE likelihood in real-time may serve as a useful decision-support tool. This approach has the potential to guide immediate further imaging while the patient is still in the scanner, thereby reducing the frequency of recalls and inconclusive reports due to diagnostic indecision.

Background: Accurate measurements from cardiovascular magnetic resonance (CMR) images require precise positioning of scan planes and elimination of motion artifacts from arrhythmia or breathing. Unidentified or incorrectly managed artifacts degrade image quality, invalidate clinical measurements, and decrease diagnostic confidence. Currently, radiographers must manually inspect each acquired image to confirm diagnostic quality and decide whether reacquisition or a change in sequences is warranted. We aimed to develop artificial intelligence (AI) to provide continuous quality scores across different quality domains, and from these, determine whether cines are clinically adequate, require replanning, or warrant a change in protocol. Methods: A three-dimensional convolutional neural network was trained to predict cine quality graded on a continuous scale by a level 3 CMR expert, focusing separately on planning and motion artifacts. It incorporated four distinct output heads for the assessment of image quality in terms of (a, b, c) 2-, 3- and 4-chamber misplanning, and (d) long- and short-axis arrhythmia/breathing artifact. Backpropagation was selectively performed across these heads based on the labels present for each cine. Each image in the testing set was reported by four level 3 CMR experts, providing a consensus on clinical adequacy. The AI's assessment of image quality and ability to identify images requiring replanning or sequence changes were evaluated with Spearman’s rho and the area under receiver operating characteristic curve (AUROC), respectively. Results: A total of 1940 cines across 1387 studies were included. On the test set of 383 cines, AI-judged image quality correlated strongly with expert judgment, with Spearman’s rho of 0.84, 0.84, 0.81, and 0.81 for 2-, 3- and 4-chamber planning quality and the extent of arrhythmia or breathing artifacts, respectively. The AI also showed high efficacy in flagging clinically inadequate cines (AUROC 0.88, 0.93, and 0.93 for identifying misplanning of 2-, 3- and 4-chamber cines, and 0.90 for identifying movement artifacts). Conclusion: AI can assess distinct domains of CMR cine quality and provide continuous quality scores that correlate closely with a consensus of experts. These ratings could be used to identify cases where reacquisition is warranted and guide corrective actions to optimize image quality, including replanning, prospective gating, or real-time imaging.

In the wake of the COVID-19 pandemic, respiratory tract infections have emerged as a significant global threat, yet their impact on public health was previously underappreciated. This study investigated the antiviral efficacy of the nano-coating agent BARRIER90, composed of silicon-quaternary ammonium compound and a naturally derived biopolymer, against three distinct respiratory viruses: Influenza A (H1N1), Adenovirus Type 1, and Enterovirus-Coxsackie B1. BARRIER90 exhibited robust and sustained virucidal activity, persisting up to 90 days post-coating, against the enveloped virus, Influenza A, with significant reduction in viral plaques. Contrastingly, its efficacy against non-enveloped viruses revealed transient activity against Enterovirus-Coxsackie B1, with almost no antiviral activity observed against Adenovirus Type 1. These findings indicate the potential of antimicrobial coatings in mitigating viral transmission through contaminated surfaces (fomites), which harbour pathogenic viruses for longer periods. Antimicrobial coatings may facilitate infection control in various settings, including healthcare facilities and shared workspaces.

Recent research works are based on ternary polyaniline composite with nickel oxides, nickel ferrite, cobalt (II), copper (II) doped with graphene, manganese, PVA, carbon and more. Nickel itself being a magnetic material it is much suitable for super capacitive behaviour. Incorporating Nickel (II) chloride and Benzalazine in polyaniline composite will enhance its electromagnetic, electrochemical and mechanical properties. In the present work, ternary composites containing polyaniline, benzalazine and nickel (II) chloride were synthesized by the oxidative polymerization of aniline with different weight percentages of benzalazine and Nickel (II) chloride. Benzalazine gets physically adsorbed on the polymer chain and nickel ions get coordinated in the polymer chain. X-ray diffraction pattern was carried out to determine the crystalline nature of the synthesized samples. The synthesized polymer composites were subjected to the technique of Ultraviolet visible and Fourier transform infrared spectroscopic techniques to find out the optical properties. Surface morphology of the synthesized samples were analyzed using atomic force microscopy and Scanning electron microscopy. Redox behavior and capacitance studies were carried out by using cyclic voltammetry at different solution pH value and the synthesized composites at solution pH value pH 1.0 found to exhibit well defined capacitance behavior.

Researchers worldwide are working hard to develop nanoparticles that can be used for the photocatalytic degradation of dangerous substances and antibiotics. In this report, we present a study on how to make yttrium-incorporated magnesium oxide nanoparticles using hydrothermal and calcination methods. These particles measure around 50 nm and have excellent photocatalytic properties. We analyzed them using various physiochemical techniques like X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy with EDAX, transmission electron microscopy, X-ray photoelectron spectroscopy, and ultra-violet diffused reflectance spectroscopy. The nanohexagons created in this study showed reduced band gap energy from 4.8 eV to 3.8 eV when yttrium was incorporated into MgO nanohexagons resulting in an unusual increase in light absorption within the visible light region. Experimental reports show these synthesized nanoparticles could degrade about 66.5 % antibiotic Ciprofloxacin (CIP) and 79 % Methylene Blue (MB) dye respectively with .O2– playing a significant role at every step during the degradation process. This study demonstrates that these synthesized nanohexagons have practical applications as promising photocatalysts for treating toxic contaminants found in industrial effluents.

A novel non-centrosymmetric Cadmium Metal-Organic Framework (Cd-MOF) crystal with chemical formula CdC8N8H14O2S4 was synthesized and characterized. The band structure and optical limiting properties of the Cd-MOF were investigated using Band structure calculations and Optical limiting studies. The band structure analysis showed that the crystal displayed a larger, highly dispersive band, highlighting significant anisotropic n-channel charge carrier mobility. The optical limiting study demonstrated that the Cd-MOF exhibited Reverse Saturable Absorption (RSA) behaviour with an optical limiting threshold value of 1094 kW/cm2. The NLO behaviour of the Cd-MOF provides a promising potential for its application in NLO devices.

Enhancing production of protein cargoes delivered by gene therapies can improve efficacy by reducing the amount of vector or simply increasing transgene expression levels. We explored the utility of a 126-amino acid collagen domain (CD) derived from the C1qTNF3 protein as a fusion partner to chaperone secreted proteins, extracellular “decoy receptor” domains, and single-chain variable fragments (scFvs). Fusions to the CD domain result in multimerization and enhanced levels of secretion of numerous fusion proteins while maintaining functionality. Efficient creation of bifunctional proteins using the CD domain is also demonstrated. Recombinant adeno-associated viral vector delivery of the CD with a signal peptide resulted in high-level expression with minimal biological impact as assessed by whole-brain transcriptomics. As a proof-of-concept in vivo study, we evaluated three different anti-amyloid Aβ scFvs (anti-Aβ scFvs), alone or expressed as CD fusions, following viral delivery to neonatal CRND8 mice. The CD fusion increased half-life, expression levels, and improved efficacy for amyloid lowering of a weaker binding anti-Aβ scFv. These studies validate the potential utility of this small CD as a fusion partner for secretory cargoes delivered by gene therapy and demonstrate that it is feasible to use this CD fusion to create biotherapeutic molecules with enhanced avidity or bifunctionality.

This study demonstrates the selective oxidation of propylene glycol and veratryl alcohol utilizing silver oxide nanoparticles. This work adopted employing Panchakavyam, a medicinally rich bio-fertilizer for synthesizing silver oxide nanoparticles. In the present study, panchakavyam was prepared as a supporting material for the synthesis of silver oxide nanoparticles (Ag2O NPs). The traditional source of panchakavyam makes it cost effective, eco-friendly and the positive alteration of structure and shape of the catalyst enabled to deliver high yield of value added products. The synthesized silver oxide nanoparticle’s structure, shape, reactivity, stability, nature of the catalyst, thermal behaviour were studied and analysed through standard catalyst characterization techniques. Post synthesis of nanoparticles, selective oxidation reaction was carried out by confining the silver oxide nanoparticles as a nano catalyst. The tert-butyl hydroperoxide was chosen as the solvent for the oxidation studies of propylene glycol and veratryl alcohol. This study was performed by varying the reaction parameters such as temperature, pressure, time, WHSV−1 etc., to obtain the maximum yield of most desired product. The study involving conversion of propylene glycol(PG) to hydroxy acetone(HA) showed a conversion and selectivity of 100 and 99%, respectively. Similarly conversion of veratryl alcohol(VAOL) to veratraldehyde(VAL) showed a conversion and selectivity of 100 and 97.8%, respectively. The result of the study provides a path to explore the adoption of sustainable catalyst in the conversion of propylene glycol and veratryl alcohol to an industrially important products.

Since the last decennium, there is an expanding interest to assess the possibility of recycling materials from the construction sector. The increasing interest to recycle materials is due to the environmental advantages such as conserving existing pristine natural resources and minimizing the overall quantity of materials destined to end up in landfills. One such material which has recently gained importance is the Reclaimed Asphalt Pavement from the demolished flexible pavement, referred to as RAP. The RAP material has been widely experimented with as a potential replacement for pristine aggregates (both Coarse and fine aggregate) in the construction of concrete pavements. Its strength and durability parameters are assessed in comparison to conventional concrete. However, is RAP a promising alternate material for pristine aggregates as it seems to be? With this question, this review paper aims to understand the feasibility and constraints of RAP usage in concrete pavements. The review attempted to refer all possible research materials available online and offline. Conference materials, technical reports, IRC code books, books and book chapters, etc were studied to understand the RAP concrete for future research. The literature reviews are based on the growth phases that the RAP material has taken in the construction industry. Furthermore, it was observed that very few efforts were taken by the researchers to improve the strength of RAP-concrete and there is a need for more attempts to enhance and enrich the potential usage of RAP in concrete pavements. This review is expected to expose the new dimensions required by academicians and researchers to effectively utilize RAP for sustainable concrete pavements in India.

Solar still water distillation process efficiently utilizes solar energy to improve the water quality and provide solution for drinking water crisis in areas facing shortage of pure water. In this work, a conventional solar still was compared to a solar still with heat absorber materials. Heat absorber materials soil, sand and paraffin wax were taken together in pre-specified quantities to check the increment in heat storage capacity of the solar still. Solar still modelling and thermal analysis were done using CATIA and ANSYS software respectively. Soil, sand and paraffin wax taken together as heat absorber materials provided significant increase in the solar still efficiency when compared to the conventional solar still. This study provides insights into improving the efficiency of solar stills using heat absorber materials, which can be beneficial for providing access to clean and safe drinking water in areas facing water scarcity.

The main focus of our discussion is the approximate controllability of non-densely defined Sobolev-type Hilfer fractional neutral Volterra–Fredholm integro-differential systems. The important outcomes are obtained by applying concepts and ideas from fractional calculus, Dhage’s fixed point theorem, and multivalued maps. Finally, an example is given for deriving theoretical results.

Background: The aim was to evaluate the impact of discontinuation of imatinib in children in chronic phase of chronic myeloid leukemia (CML) and assess treatment free remission (TFR). Patients and methods: We performed a retrospective study in children diagnosed with CML chronic phase up to 18 years of age, who were on imatinib for 5 years and had consistent BCR:ABL1 negative/undetectable transcripts through RT-PCR. Complete blood counts were monitored monthly and BCR:ABL1 transcripts by RT-PCR monitored 3 months. Results: Among the 14 patients who continued to remain PCR negative, we attempted discontinuing imatinib in eleven children as per the above-mentioned criteria. Eight (72%) continued to be in remission and did not require imatinib to be restarted. Among the remaining three patients, one child was noted to have increasing basophilia in the differential counts and was hence restarted on imatinib. Two other patients demonstrated recurrence of BCR:ABL1 transcript copy numbers six months after stopping TKI, following which imatinib was restarted. All three patients had documented major molecular response within three months of therapy. The median duration of TFR was 18 months in our cohort (range: 3 months–5 years). Among patients who continued to be off imatinib, TKI withdrawal symptoms were documented in 4 (36%) patients. Conclusions: Treatment free remission was achieved in 8/11 (72%) children after discontinuation of imatinib, and re-introduction of imatinib resulted in major molecular response in those with recurrence. Monitoring of BCR:ABL1 transcripts through RT PCR is essential.

The intent of the study is to attain a high selectivity rate and stable interaction between metals in any heterogeneous catalyst. Cyclohexene is extremely valuable in industrial domains such as the synthesis of perfumes and nylons, and the mesoporous alumina was upstretched with a various ratio of bimetal copper (10%) and nickel (5%, 10%, 15%, and 20%) under wet impregnation procedures by the mesoporous aluminum catalyst. This impregnation of a metal and catalyst was used to assess the highest conversion and selectivity of cyclohexene to cyclohexanol. This catalytic nature was validated by analyzing the crystal structure and size using the X-ray diffraction technique. The functional group is identified using FT-IR (Fourier Transform Infrared Spectroscopy), while the surface area is assessed using BET (Brunauer-Emmet-Teller). HR-TEM (transmission electron microscopy) is used to validate the morphology of catalysts and their surface layers; HR-SEM (Scanning Electron Microscopy) is used to highlight and assess microparticles; and NH3TPD (Temperature-Programmed Desorption) is used to measure the overall acidity of the catalyst. The catalytic performance was proved by the yield achieved by varying parameters such as temperature, pressure, WHSV−1, reaction time, and solvents, which yielded over 98.5% in both cyclohexene conversion and selectivity. In the conversion of the product, H2O2 performs as an oxidant, and acetonitrile serves as a solvent at constant mild conditions of 90 °C and 20 bar pressure. Furthermore, even after seven successive runs with the Al2O3/Cu (10%)-Ni (15%) mixture, remarkable reusability was attained despite a minor decline in cyclohexanol selectivity. The effective impregnation of copper and nickel into supported mesoporous Al2O3 produced a long-lasting, stable hybrid nanostructure with excellent stability and no metal leaching. The current synthesis protocol's advantages and qualities include its efficiency, cost-effectiveness, ecological sustainability, and comfort of synthesis with readily available components.

This paper discusses about remote area power supply (RAPS) system for the conversion of power from wind into electrical energy along with supercapacitor and battery storage to supply main load and dump load. Generation of power during varying loads and fluctuating wind is difficult to control. The wind power generating system have difficulty to supply the required amount of reactive power. This is compensated using synchronous condenser. The performance related to the energy storage system is improved using energy management algorithm. The wind power is converted to dc using bridge rectifier and buck boost converter. Voltage controlled converter is designed to convert dc to ac to operate in synchronization with grid voltage. Real power obtained from the wind energy conversion system and the reactive power are controlled separately to provide support for the frequency and voltage control. The system is simulated to show the performance of the developed system.

Aflatoxin contamination is a significant barrier in the international trade of major spices like chilli, aniseed, and pepper. Hence, it is crucial to develop effective aflatoxin decontamination management strategies to enhance the export potential of Indian spices. However, traditional methods employed for aflatoxin reduction significantly impact the characteristics of chilli. Thus, an investigation was conducted to determine the effectiveness of non-thermal, light-based techniques such as UV-C, blue LED and atmospheric plasma in reducing the aflatoxin concentration in dried chilli. The LED treatment at 3.4 V significantly increased the β-carotene content of chilli. Similarly, the atmospheric plasma treatment reductant increased the volatile oil and carotenoid content by 75% and 39%, respectively. In addition, the LED treatment significantly increased the pungency characteristic of chilli by 163% when compared to the control sample. Further, the chromatographic analysis confirmed the increase in capsaicin content of red chilli by 20% and 41% after UV-C and plasma treatment, respectively. UV- C radiation for 90 min at 60W, blue LED light (25000 mcd radiant power) at 470 nm for 45 min and atmospheric plasma at 45 kV for 15 min resulted in the reduction of aflatoxin B1 content in chilli by 15%, 38% and 67%, respectively. Atmospheric plasma significantly reduced the aflatoxin content below the permitted limit according to FAO WHO standards (of 30 ppb) within a limited time.

Reports on the presence and toxicity of Pb2+ in various chemical industrial effluents energized researchers to investigate several feasible, efficient, precise, and sensitive techniques for determining and removing Pb2+ from aqueous systems. The current work proposes the adsorption of Pb2+ onto the stem of parthenium as a continuation of a series of investigations. In order to find the ideal circumstances for the most effective removal of lead, optimization of Pb2+ sorption potential-affecting factors, such as pH, contact duration, temperature, adsorbent dosage, and concentration of Pb2+ as sorbate, were investigated. The response surface approach was used to assess experiments that were carried out using a rotatable Box-Behnken design (BBD) (RSM). The influence of three independent variables—the pH of the precursor solution (4–5), the initial lead content (15–25 mg/l), and the dose of biomass (20–40 g/l)—were assessed in response to the biosorption process. The optimum pH, lead ion concentration, and biomass dosage for lead biosorption were ascertained to be 5 pH, 20 mg/L, and 30 g/L, respectively. The Parthenium stem powder can reduce the concentration of lead in an aqueous solution by up to 72.74% for 20 mg/l at pH=5 and 260 °C. It has been shown that 1.5 g/100 ml of parthenium stem powder and a 50-minute equilibrium duration are the most effective parameters. The amount of lead absorbed from the aqueous solution increases with an increase in the adsorbent's dosage. Freundlich and Langmuir models in both linear and nonlinear variants were used to comprehend the nature of the adsorption process. By analysing the kinetics and thermodynamics of the process, the feasibility and viability of the sorption process were assessed. The adsorption process was quite rapid, according to the kinetic analyses, and equilibrium was attained after 50 min of contact time. The spontaneous nature of the adsorption process was revealed by the negative values of free energy change. Studies on thermodynamics showed that reactions were exothermic, although research on kinetics revealed that reactions is indeed pseudo-second order.

This manuscript concerns the approximate controllability results in Hilbert space of Hilfer fractional differential inclusions. We show that the Hilfer fractional neutral differential inclusions are approximately controllable using Bohnenblust-Karlin’s fixed point theorem. Further, nonlocal conditions are extended to the existence results. Furthermore, an application is shown to demonstrate the theoretical conclusions utility.

Underwater image deteriorates due to the scattering effect of light in the water. The challenging factor in underwater image analysis is the blurring of the image and color distortion. Various techniques were explored to offer solutions for underwater image restoration. But, still, it has some regression exists in these techniques. This proposal introduces the deep CNN-based color balancing and denoising technique (CNN-CBDT) to enhance underwater images. One of the advantages of underwater characteristics is color, mostly green and blue. Due to its low color contrast, the image exists in fuzzy nature. CNN-based CBDT restores the image with the help ReLU unit in the CNN. Lastly, the suggested method's cutting-edge performance is validated by comparing experimental findings to GLNet, Histeq, and ACE algorithms in conditions of structural similarity (SSIM), peak signal-to-noise ratio (PSNR), structural similarity (SSIM), UCIQE, and UIQM. The suggested approach eliminates the impact of underwater elements, enhancing the color of the picture. It enhances PSNR by 17% having the highest value of 19.580 and SSIM by 15% having a value of 0.952. To make it applicable to real robots, the computation speed is calculated. As a result, the proposed method achieved a computation speed of 9.868 frames per second.

The goal of machine vision is to develop human-like visual abilities; however, it is unclear whether understanding human vision will advance machines. Here, it exemplifies two key conceptual advancements: It first shows that the majority of computer vision models consistently differ from the way that individuals perceive objects. To do this, a significant dataset of human perceptions of the separations of isolated things was acquired, and it was then examined to see if a well-known machine vision algorithm can predict these perceptions. The best algorithms can account for the majority of the volatility in the intuitive data, but every algorithm we verified repeatedly misjudged several different object types. Second, it shows that removing these systemic biases can considerably increase classification accuracy. For instance, machine techniques overestimated detachments between symmetric objects in comparison to human vision. These results illustration that methodical differences between human and machine vision can be identified and improved.In order to improve the machine vision, employing a deep learning algorithm Visual Geometry Group (VGG 16) with planar reflection symmetry (PRS-Net) technique. VGG 16 is a convolutional neural network with 16 deep layers. VGG pre-trained architecture can point out visual features present in the image. The planar reflection symmetry concept is appended with VGG to create a hybrid environment that can improve machine vision significantly by 90%.

Roads are becoming increasingly congested due to urbanization and the increased use of private vehicles. As a result, emergency vehicles like ambulances, police cars, and fire trucks get stuck in traffic and take longer to get where they're going, which may cause risk, damage to property, and losing valuable lives. The acoustic-based pre-emption technology uses the EV's siren to alert oncoming cars. Therefore, acoustic reflection from a building or other large container vehicle might cause a fall. This paper implements a vehicle-to-infrastructure (V2I) communication system that anticipates traffic signals using Global Positioning System (GPS) and Dedicated Short Range Communication (DSRC). Line of sight (LOS) is not required when choosing the desired range of DSRC communication, and the traffic signal unit receives pre-emption messages anytime an emergency vehicle is nearby. Thus, these messages cause the traffic light to turn green for the emergency vehicle instead of operating normally. As a result, this type of system necessitates two hardware modules, one at each vehicle On-Board-Unit (OBU) and one at each intersection Road-Side-Unit (RSU), as well as the Decision Support System i.e., Traffic Management Controller (TMC). In the hardware OBU and RSU, the IMX-6 Processor, GPS Module, and DSRC transmitter and receivers are used. The Emergency Vehicle (EV) equipped with the OBU transmits requests to the intersection unit, which is fully autonomous and can be employed as a component of the Intelligent Transportation System (ITS), negating the need for a driver in this method.

Our previous studies support a key role for mitochondrial lipid hydroperoxides as important contributors to denervation-related muscle atrophy, including muscle atrophy associated with aging. Phospholipid hydroperoxide glutathione peroxidase 4 (GPX4) is an essential antioxidant enzyme that directly reduces phospholipid hydroperoxides and we previously reported that denervation-induced muscle atrophy is blunted in a mouse model of GPX4 overexpression. Therefore, the goal of the present study was to determine whether GPX4 overexpression can reduce the age-related increase in mitochondrial hydroperoxides in skeletal muscle and ameliorate age-related muscle atrophy and weakness (sarcopenia). Male C57Bl6 WT and GPX4 transgenic (GPX4Tg) mice were studied at 3 to 5 and 23–29 months of age. Basal mitochondrial peroxide generation was reduced by 34% in muscle fibers from aged GPX4Tg compared to old WT mice. GPX4 overexpression also reduced levels of lipid peroxidation products: 4-HNE, MDA, and LOOHs by 38%, 32%, and 84% respectively in aged GPX4Tg mice compared to aged WT mice. Muscle mass was preserved in old GPX4 Tg mice by 11% and specific force generation was 21% higher in old GPX4Tg versus age matched male WT mice. Oxylipins from lipoxygenases (LOX) and cyclooxygenase (COX), as well as less abundant non-enzymatically generated isomers, were significantly reduced by GPX4 overexpression. The expression of cPLA2, 12/15-LOX and COX-2 were 1.9-, 10.5- and 3.4-fold greater in old versus young WT muscle respectively, and 12/15-LOX and COX-2 levels were reduced by 37% and 35%, respectively in muscle from old GPX4Tg mice. Our study suggests that lipid peroxidation products may play an important role in the development of sarcopenia, and their detoxification might be an effective intervention in preventing muscle atrophy.

The thermophysical properties of 1A2P (1-amino-2-propanol) (1) with AAc (methyl acetate (MAc) or ethyl acetate (EAc) or propyl acetate (PAc) or butyl acetate (BAc)) (2) were examined for understanding the molecular interactions between given binary liquid mixtures. Viscosity (η) was measured for 1A2P, AAc (alkyl acetate) and their binary mixture at five different temperatures (T = 298.15 to 318.15 K) and at 0.1 MPa pressure. From η data, the deviation in viscosity, Δη, and excess Gibbs free energy of activation, G∗E, were calculated. The Δη values were more positive for the 1A2P (1) + MAc (2) binary mixture at equimolar composition which indicate that there is strong intermolecular interaction between 1A2P and MAc molecules. Further, Δη values were also analyzed by Graph theoretical approach (GTA) and predicted that CO-----H-O interactions are stronger than OH----O-C interactions between 1A2P and AAc molecules in the liquid mixture which is also recognized by FTIR spectroscopic studies. Density functional theory (DFT) studies were employed to investigate the strength of molecular interactions.