Search

Acromioclavicular (AC) joint dislocation constitutes 40% of shoulder injuries, impacting patients across diverse activities. The Rockwood Staging System guides assessment, prompting exploration of the novel TightRope with double endobutton fixation technique to restore AC joint function. This study aims to evaluate the outcomes of the TightRope with double endobutton fixation technique in 20 cases of AC joint dislocation, emphasizing its potential advantages over conventional methods. A case series involving 20 AC joint dislocation cases underwent comprehensive evaluation, including follow-ups and radiological assessments. Surgical interventions were performed using the TightRope with double endobutton fixation technique. The average age was 44.5 years, with a notable prevalence of severe dislocations (Classes V and VI). Surgical interventions demonstrated efficiency, with a brief hospital stay. The innovative technique yielded excellent outcomes, with 90% achieving high Constant–Murley scores. TightRope with double endobutton fixation emerges as a promising, minimally invasive strategy for AC joint dislocation, exhibiting potential in minimizing post-operative complications and expediting recovery. The study advocates for individualized interventions and emphasizes the need for further exploration of long-term implications.

Background: A prospective study to assess the prevalence of rotator cuff (RC) tears in patients with Type 2 diabetes mellitus. Aims and Objectives: The purpose of this study is to assess the prevalence of RC tear in Type 2 diabetes mellitus patients presenting with shoulder pain to the outpatient clinic. Materials and Methods: A total of 100 diabetic patients with shoulder pain and restriction of movements formed the study group and were prospectively studied using magnetic resonance imaging and were evaluated with regard to the presence of RC tear. The factors that were analyzed included HBA1C levels, duration of diabetes, and type of diabetic medication. All these factors were evaluated with regard to their correlation with RC tear. Results: In our study, we found that the prevalence of RC tear was 37% and there seemed to be a significant correlation between HBA1C levels (P=0.007) as well as prolonged duration of diabetes (P=0.006) with RC tear. It has been established in our study that the occurrence of RC tear is lesser in oral hypoglycemic agents group as compared to insulin group in treating diabetic patients. Conclusion: One independent risk factor for RC tear is diabetes. The prevalence of RC tear is higher in the diabetic population with increased HBA1c levels and prolonged duration of diabetes mellitus. Metformin usage in diabetes mellitus has been associated with reduced incidence of RC tear due to diminished impregnation of advanced glycation end products with in the RC tendon.

Abstract Background The global landscape of public health faces significant challenges attributed to the prevalence of cancer and the emergence of treatment resistance. This study addresses these challenges by focusing on Cyclin-dependent Kinase 2 (CDK2) and employing a systematic computational approach for the discovery of novel cancer therapeutics. Results Initial ligand-based pharmacophore modelling, utilizing a training set of five reported CDK2 inhibitors, yielded a robust model characterized by Aro|Hyd| and |Acc|Don| features. Screening this validated model against the ZINC database identified 1881 hits, which were further subjected to molecular docking studies. The top 10 compounds (Z1–Z10) selected from the docking studies underwent Pharmacokinetic parameters Absorption, Distribution, Metabolism, Excretion and Toxicity profiling, Density Functional Theory (DFT) studies and the top two went for 100ns molecular dynamics (MD) simulations by comparing them with the standard Roscovitine. Compounds Z1 and Z2 emerged as the most promising, with docking scores of − 8.05 kcal/mol and − 8.02 kcal/mol, respectively. DFT analysis of the top 10 compounds revealed minimal variations in highest occupied molecular orbital–lowest unoccupied molecular orbital energy gaps, indicating consistent electronic stability and reactivity across the candidates. MD simulations of Z1 and Z2 confirmed their stable interactions with CDK2, with root mean square deviation (RMSD) values ranging from 1.4 to 2.5 Å for Z1 and 1.5 to 2.4 Å for Z2. Conclusion The current research identified compounds Z1 and Z2, which demonstrated significant potential as potent CDK2 inhibitors for cancer therapy, providing valuable insights into the development of more effective CDK2 inhibitors and addressing the critical need for innovative therapeutic strategies in cancer treatment. Graphical abstract

Abstract The rapid growth in consumer-facing mobile and sensor technologies has created tremendous opportunities for patient-driven personalized health management. The diagnosis and management of cardiac arrhythmias are particularly well suited to benefit from these easily accessible consumer health technologies. In particular, smartphone-based and wrist-worn wearable electrocardiogram (ECG) and photoplethysmography (PPG) technology can facilitate relatively inexpensive, long-term rhythm monitoring. Here we review the practical utility of the currently available and emerging mobile health technologies relevant to cardiac arrhythmia care. We discuss the applications of these tools, which vary with respect to diagnostic performance, target populations, and indications. We also highlight that requirements for successful integration into clinical practice require adaptations to regulatory approval, data management, electronic medical record integration, quality oversight, and efforts to minimize the additional burden to health care professionals.

Abstract Breast cancer remains a leading cause of mortality among women worldwide, with drug resistance driven by transcription factors and mutations posing significant challenges. To address this, we present ResisenseNet, a predictive model for drug sensitivity and resistance. ResisenseNet integrates transcription factor expression, genomic markers, drugs, and molecular descriptors, employing a hybrid architecture of 1D-CNN + LSTM and DNN to effectively learn long-range and temporal patterns from amino acid sequences and transcription factor data. The model demonstrated exceptional predictive accuracy, achieving a validation accuracy of 0.9794 and a loss value of 0.042. Comprehensive validation included comparisons with state-of-the-art models and ablation studies, confirming the robustness of the developed architecture. ResisenseNet has been applied to repurpose existing anticancer drugs across 14 different cancers, with a focus on breast cancer. Among the malignancies studied, drugs targeting Low-grade Glioma (LGG) and Lung Adenocarcinoma (LUAD) showed increased sensitivity to breast cancer as per ResisenseNet’s assessment. Further evaluation of the predicted sensitive drugs revealed that 14 had no prior history of anticancer activity against breast cancer. These drugs target key signaling pathways involved in breast cancer, presenting novel therapeutic opportunities. ResisenseNet addresses drug resistance by filtering ineffective compounds and enhancing chemotherapy for breast cancer. In vitro studies on sensitive drugs provide valuable insights into breast cancer prognosis, contributing to improved treatment strategies.

Abstract Electrolytes play a critical role in designing next-generation battery systems, by allowing efficient ion transfer, preventing charge transfer, and stabilizing electrode-electrolyte interfaces. In this work, we develop a differentiable geometric deep learning (GDL) model for chemical mixtures, DiffMix, which is applied in guiding robotic experimentation and optimization towards fast-charging battery electrolytes. In particular, we extend mixture thermodynamic and transport laws by creating GDL-learnable physical coefficients. We evaluate our model with mixture thermodynamics and ion transport properties, where we show improved prediction accuracy and model robustness of DiffMix than its purely data-driven variants. Furthermore, with a robotic experimentation setup, Clio, we improve ionic conductivity of electrolytes by over 18.8% within 10 experimental steps, via differentiable optimization built on DiffMix gradients. By combining GDL, mixture physics laws, and robotic experimentation, DiffMix expands the predictive modeling methods for chemical mixtures and enables efficient optimization in large chemical spaces.

Combining ability and heterosis was investigated in mustard hybrids obtained from 7 × 7 half diallel cross. Twenty one F1s along with seven parents were evaluated in Randomized Complete Block Design. The combined analysis of variance revealed very significant differences among the parents for all morphological variables with the exception of secondary branches and siliqua length, indicating wide diversity among the parental material used in the present study. Significant GCA and SCA variance indicated additive and non-additive gene action across all the characters. The SCA variance components were larger than the GCA variance components for most traits indicating the prevalence of non-additive gene effects. Jawahar mustard × PM-30, showed a significantly positive SCA and better parent heterosis for seed yield per plant whereas five hybrids (Kranti × PM-30, Gujarat Mustard-3 × Pusa Mahak, Jawahar Mustard × PM-30, Jawahar Mustard × Pusa Mahak and PM-30 × Pusa Mahak) exhibited significant positive SCA effect for number of siliqua/ plant. Jawahar Mustard × PM-30, Varuna×Jawahar Mustard, Gujarat Mustard-3 × PM-30, exhibited highly significant heterosis over the mid-parent.

Objective: The aim of the study is to compare the accuracy of dose calculation for different dose calculation algorithms with different prescription points (air, tissue, air–tissue interface in carcinoma lung patients and bone, tissue, and bone–tissue interface in carcinoma buccal Mucosa tumors). Materials and Methods: Forty-one patients with carcinoma lung and buccal mucosa were retrospectively selected for this study. A three-dimensional conformal radiotherapy reference plan was created using the prescription point in the tissue with Monte Carlo (MC) algorithms for both the groups of patients. The reference plan was modified by changing the prescription point and algorithms in the tissue, air, air–tissue interface for lung patients and tissue, bone, and bone–tissue interface for buccal mucosa patients. The dose received by the target volume and other organs at risk (OAR) structures was compared. To find out the statistical difference between different prescription points and algorithms, the statistical tests were performed with repeated measures ANOVA. Results: The target volume receiving 95% dose coverage in lung patients decreased to −3.08%, −5.75%, and −1.87% in the dose prescription point at the air–tissue interface with the dose calculation algorithms like MC, collapsed cone (CC), and pencil beam (PB), respectively, compared to that of the MC tissue. Spinal cord dose was increased in the CC and PB algorithms in all prescription points in patients with lung and buccal mucosa. OAR dose calculated by PB in all prescription points showed a significant deviation compared to MC tissue prescription point. Conclusion: This study will help demonstrate the accuracy of dose calculation for the different dose prescription points with the different treatment algorithms in radiotherapy treatment planning.

Abstract The global population is rapidly increasing, so there is a critical requirement to satisfy the food production demand. Conventional methods of agriculture are inadequate to meet building demand which leads to declining farming sector and adaptable to other industries. Most of the farming activities are highly dependent on the labor which leads to increase in cost and time of operation. The rapid growth of mechanization for all farm activities cannot completely reduce the human involvement. As a result, agricultural automation is critically important. In terms of automation, this study emphasizes the crucial role of UAVs in precision and smart agriculture. The adoption of drones for various farm operations has the possibility to minimize labor requirements as well as operational time. This review provides overview of conceptual design, command flow operation, Micro-controller boards, remote-control systems and attachments like sensors, cameras, motors in UAVs for the purpose of automation in farm activities. The Internet of Things (IoT) employed in UAVs with image processing and machine learning algorithms provides accurate and precision results in farm activities. Furthermore, this study discusses future advancements, limitations and challenges for farmers in adapting to UAVs. Graphical Abstract

Diffusion welding is an advanced joining process that assures the feasibility of joining dissimilar metal alloys without producing metallurgical impurities at the joint interface. Two significant aerospace alloys, AA2219 and Ti-6Al-4V, are diffusion welded for the various holding times (30-120 minutes) by keeping the bonding temperature and pressure constant. The effect of holding time on the microstructure of the diffusion welded joints is evaluated using scanning electron microscopy (SEM), and the diffusion behaviour across the joint interface is ensued by the line scan energy dispersive spectroscopy (EDS). The obtained results show that the hardness across the joint interface is increased with increase in holding time. Furthermore, the maximum shear strength of 143.58 MPa is achieved for the joint formed at the holding time of 90 minutes and reduced thereafter. The formation of a thick intermetallic layer at a higher holding time strongly affects the shear strength. It is evident from the resulting fractured surfaces that the joints predominantly failed at the bonding interface, showcasing the brittle kind of failure. The X-ray diffraction (XRD) study on the fractured surfaces substantiates the formation of AlTi, Al2Ti and Al3Ti intermetallic compounds.

Background: The BRASH (bradycardia, renal failure, AV nodal blockade, shock, and hyperkalemia) syndrome is a synergy between hyperkalemia and AV nodal blockers, leading to bradycardia. Though treatment is mainly supportive care, understanding the pathophysiology and correcting the precipitating causes will help prevent the patient from progressing to a catastrophic outcome. Materials and Methods: This was a retrospective study conducted in the emergency department of a tertiary care hospital. Medical records of cases admitted from the emergency medicine department from January 2021 to July 2022 with bradycardia and hyperkalemia were retrieved from hospital software systems. Data regarding presenting symptoms, vitals, laboratory and radiological investigations, and treatment received were noted, and the data was analyzed. Results: This study includes a total of seven cases that fit the definition of BRASH syndrome. The majority were elderly co-morbid patients with a median age of 53 (49-79) years, on anti-hypertensives, with varied presentations. They had mild to moderate hyperkalemia, with a mean value of 7.15 ± 2.31 mEq/L. Acute kidney injury was evident, with a mean creatinine value of 3.55 mg/dl. Initial ECG revealed bradyarrhythmias, with five junctional bradycardias and two sinus bradycardias. Among the seven cases, three were managed conservatively, three were dialyzed, and one underwent transvenous pacing. Six cases recovered and discharged home, with one mortality. Conclusion: BRASH syndrome is an under-recognized entity. Early recognition and treatment can avoid invasive procedures like pacing and dialysis and also prevent morbidity and mortality.

Abstract There is a critical need to non-invasively assess the PD-L1 expression in tumors as a predictive biomarker for determining the efficacy of anti-PD-1/PD-L1 immunotherapies. Non-invasive imaging modality like positron emission tomography (PET) can be a powerful tool to assess the PD-L1 expression in the whole body including multiple metastases as a patient selection criterion for the anti-PD-1/PD-L1 immunotherapy. In this study, we synthesized B11-nanobody, B11-scFv and B11-diabody fragments from the full-length anti-PD-L1 B11 IgG. Out of the three antibody fragments, B11-diabody showed higher nM affinity towards PD-L1 antigen as compared to B11-scFv and B11-nanobody. All three antibody fragments were successfully radiolabeled with 64Cu, a PET radioisotope. For radiolabeling, the antibody fragments were first conjugated with p-SCN-Bn-NOTA followed by chelation with 64Cu. All three radiolabeled antibody fragments were found to be stable in mouse and human sera for up to 24 h. Additionally, all three [64Cu]Cu-NOTA-B11-antibody fragments were evaluated in PD-L1 negative and human PD-L1 expressing cancer cells and subcutaneous tumor models. Based on the results, [64Cu]Cu-NOTA-B11-diabody has potential to be used as a PET imaging probe for assessing PD-L1 expression in tumors as early as 4 h post-injection, allowing faster assessment compared to the full length IgG based PET imaging probe.

Abstract Synthetic DNA motifs form the basis of nucleic acid nanotechnology. The biochemical and biophysical properties of these motifs determine their applications. Here, we present a detailed characterization of switchback DNA, a globally left-handed structure composed of two parallel DNA strands. Compared to a conventional duplex, switchback DNA shows lower thermodynamic stability and requires higher magnesium concentration for assembly but exhibits enhanced biostability against some nucleases. Strand competition and strand displacement experiments show that component sequences have an absolute preference for duplex complements instead of their switchback partners. Further, we hypothesize a potential role for switchback DNA as an alternate structure in sequences containing short tandem repeats. Together with small molecule binding experiments and cell studies, our results open new avenues for switchback DNA in biology and nanotechnology.

Abstract We describe 5D dynamical cosmological solutions of the stabilized holographic dilaton and their role in completion of the conformal phase transition. This analysis corresponds, via the AdS/CFT dictionary, to a study of out-of-equilibrium dynamics where trajectories of the dilaton do not depend solely on thermodynamic quantities in the early universe, but have sensitivity also to initial conditions. Unlike the well-studied thermal transition, which requires quantum tunneling of an infrared brane through the surface of an AdS-Schwarzschild horizon, our approach instead invokes an early epoch in which the cosmology is fully 5-dimensional, with highly relativistic brane motion and with Rindler horizons obscuring the infrared brane at early times. In this context, we demonstrate the existence of a large class of natural initial conditions that seed trajectories where the brane simply passes through the Rindler horizon and into the basin of attraction of the stabilized dilaton potential. This corresponds to successful completion of the phase transition without sacrificing perturbativity of the 5D theory.

Abstract Healthy mammalian cells have a circadian clock, a gene regulatory network that allows them to schedule their physiological processes to optimal times of the day. When healthy cells turn into cancer cells, the circadian clock often becomes cancer specifically disturbed, so there is an interest in the extraction of circadian features from gene expression data of cancer. This is challenging, as clinical gene expression samples of cancer are snapshot-like and the circadian clock is best examined using gene expression time series. In this study, we obtained lists of intersecting circadian genes in public gene expression time series data of lung tissue of mouse and baboon. We base our circadian gene lists on correlations of gene expression levels of circadian genes, which are closely associated to the phase differences between them. Combining circadian gene expression patterns of diurnal and nocturnal species of different ages provides circadian genes that are also important in healthy and cancerous human lung tissue. We tested the quality of the representation of the circadian clock in our gene lists by PCA-based reconstructions of the circadian times of the mouse and baboon samples. Then we assigned potential circadian times to the human lung tissue samples and find an intact circadian clock in the healthy human lung tissue, but an altered, weak clock in the adjacent cancerous lung tissue.

Highly active, long-lasting, and economically feasible nonprecious metal-based electrocatalysts are urgently required for the slow hydrogen evolution reaction (HER) in alkaline conditions. Direct current (DC) electrodeposition was used to develop the highly active Ni–MoS2 composite coatings for efficient hydrogen generation. Scanning electron microscopy (SEM), Energy Dispersive X Ray Spectroscopy (EDS), X-ray diffraction (XRD), and linear sweep voltammetry (LSV) were used to evaluate the coatings. Ni–MoS2 composite coatings behaved almost identically to pure platinum metal. The Ni–MoS2 coating produced 1.0 g/l demonstrated a low overpotential for HER. The HER process's analyzed from Volmer-Tafel mechanistic route has an extremely low slope of 56.5 mV/dec. All the coated samples were subjected to chronopotentiometry (CP). This catalyst's high HER performance shows that it has significant potential for practical applications.

This paper explores novel ways of predicting and classifying the dynamics of piecewise smooth maps using various deep learning models. Moreover, we have used machine learning models such as Decision Tree Classifier, Logistic Regression, K-Nearest Neighbor, Random Forest, and Support Vector Machine for predicting the border collision bifurcation in the 1D normal form map and the 1D tent map. The decision tree classifier best predicts the border collision bifurcation for the 1D normal form map, the random forest, and the 1D tent map. This study introduces a novel application of deep learning models to cobweb diagrams and phase portraits, which provides a new perspective for classifying regular and chaotic behaviour. Further, we classified the regular and chaotic behaviour of the 1D tent map and the 2D Lozi map using deep learning models like Convolutional Neural Network (CNN), ResNet50, and ConvLSTM via cobweb diagram and phase portraits, where CNN exhibits better performance than other models. We also classified the chaotic and hyperchaotic behaviour of the 3D piecewise smooth map using deep learning models such as the Feed Forward Neural Network (FNN), Long Short-Term Memory (LSTM), and Recurrent Neural Network (RNN). We have shown that LSTM performs best for classifying chaotic and hyperchaotic behaviour. Additionally, LSTM outperforms other models in accuracy and computational efficiency, making it highly effective for real-time analysis. Finally, deep learning models such as Long Short Term Memory (LSTM) and Recurrent Neural Network (RNN) are used for reconstructing the two-parameter bifurcation charts of 2D normal form map, in which LSTM is more precise than RNN in reconstructing the two-parametric charts.

This study investigates the effect of thermal barrier coatings (TBCs) on the temperature distribution throughout a first-stage high-pressure aero-engine gas turbine rotor blade. The temperature changes on the naked and TBC-coated blade surfaces were investigated using computational models in ANSYS. The results showed a considerable drop in maximum temperature after using yttum-stabilized zirconia (YSZ) as a TBC, demonstrating its efficiency in alleviating thermal stresses. A comparative investigation of various TBC materials revealed varying degrees of heat resistance, with those with lower thermal conductivities. YSZ brought down the maximum temperature of the blade body by 18%. Lanthanum zirconate (La2Zr2O7) showed the best results, bringing down the maximum temperature by 19.5% compared to YSZ. These findings highlight the need to evaluate material qualities other than heat resistance when selecting TBCs for aerospace applications. This study underlines TBCs’ potential to improve the durability and performance of gas turbine rotor blades under high-temperature operating conditions. Furthermore, it suggests future research directions, such as investigations into TBC mechanical properties, erosion resistance, and long-term durability of TBCs, as well as the development of novel TBC formulations and manufacturing techniques to advance aerospace technology and ensure the sustainability of gas turbine operations.

A comprehensive Flood Resilient Scenario Model ‘FReSMo’ employs a data-driven, evidence-based approach for assessing climate-induced flood risk and validating the efficacy of mangroves (as context-specific adaptation measure) in reducing residential building damage. Based on an improvised Source-Pathway-Receptor-Consequence-Evidence concept, FReSMo employs a three-step analysis. First, hazard mapping estimates coastal flood extents for various return period under different Shared Socioeconomic Pathways. Second, the model maps the exposure of residential buildings to these flood extents by projecting built-up area for 2050 using the FUTURES model, based on physiographic, socio-demographic, and economic parameters. Finally, a data-driven probabilistic damage model is applied to estimate the built-up area damage for a 100-year coastal flood event (SSP-2.6). The pre-and post-adaptation damage estimate demonstrates the efficacity of NBS (mangroves) in reducing coastal flood risk. A 100 m mangrove patch on the Sagar coastline reduced the building damage cost by 70% for a 48-hr and 75% for a 24-hr flood. Considering a plantation cost for 6.2 km2, the total benefit, despite persistent losses, was a 222% return on investment. FReSMo transcends conventional risk assessment frameworks by offering a comprehensive approach for evaluating the cost-effectiveness of adaptation investments in developing countries, making it an invaluable tool in the face of climate change.

The utilization of bio-based materials for the manufacturing of fiber-reinforced polymer composites is gaining importance under the sustainability paradigm. The identification of suitable process parameters and limited process reproducibility remain among the major challenges to enhance the industrial application potential of bio-based composites. This is especially relevant, as the manufacturing process influences composite quality, economic performance and environmental impacts. This study compares Resin Transfer Molding and Vacuum Assisted Resin Infusion for two sets of process parameters in order to manufacture a composite plate consisting of a flax-fiber textile impregnated with a partially bio-based epoxy matrix. Process quality is described through statistical analysis of processing and composite properties, and performance in terms of process replicability and reliability using performance estimates. Processing parameters were selected to depict a range of manufacturing scenarios that were suitable for the selected bio-based material system from curing for 180 min at 60 °C to curing for 30 min at 100 °C. For an identical set of process conditions, Resin Transfer Molding outperforms Vacuum Assisted Resin Infusion in terms of tensile and flexural characteristics. Conversely, the latter shows the strongest fiber-matrix adhesion and the most homogeneous impregnation. Whereas manufacturing at lower temperature leads to positive effects on composite quality, higher processing temperature with shorter curing cycles achieve highest process performance in terms of Pp and Ppk indices. An additional annealing at 120 °C neither increases composite quality nor reduces manufacturing-induced variability. Results depend on processing differences and indicators to determine process performance, as well as methodological choices.

AbstractThe advancement in technology and rapid globalization have resulted in the emergence of metropolitan cities and agglomerations that are constantly expanding to meet the ever-growing demand of migrating populations. With climate change being an inevitable reality, rampant urbanization has exacerbated impacts such as extreme weather events and the development of urban heat islands. Several researchers and the scientific community have proposed mitigation strategies based on the spatio-temporal changes in Land Use/Land Cover (LU/LC) and Land Surface Temperatures(LST). The studies, however, have not yet established the definite effect of using proposed mitigation strategies on land surface temperature reduction for different urban landscapes. Henceforth, this research aims at quantifying the effect of several mitigation strategies on land surface temperatures, and the analysis was performed over Kolkata city (area under Kolkata municipal corporation). The study focused on developing scenario-based analysis to capture the effectiveness of the interventions required with changing urban density, location and built morphology. The land use and land surface temperature maps developed in the course of the investigation indicated that the impervious urban surfaces correspond to the highest surface temperatures across the study area. In conjunction with the normalized urban heat island (NUHI) index and LST results, the land surface temperature map for Kolkata city was divided into five heat zones. The five priority areas for quantifying the impact of mitigation strategies on LST reduction were chosen from heat zones 4 and 5 (depicting high and very high LST categories as per the global standards). The mitigation scenarios comprising surface greening and changes in building material were applied to the selected areas with varying urban morphologies. The research analysis performed denoted the effect of individual and combined mitigation scenarios based on the efficiency of strategy to bring an optimum cooling effect. It was observed that the cool strategy resulted in the highest temperature difference for both neighbourhood and building levels, whereas the combination scenario corresponded to the highest decline in surface temperatures across the neighbourhood level

A wide range of real-world applications have proven the importance of non-Newtonian fluids near a wedge, including the oil and gas industry, the aerospace sector. This study elucidates the dynamics of a Carreau nanofluid around a wedge by combining entropy analysis with periodic magnetohydrodynamics (MHD) and activation energy. The dimensional partial differential equations (PDEs) that describe the fluid flow system undergo non-similar transformations, forming nondimensional PDEs. The numerical solution to these PDEs is obtained by applying quasilinearization followed by the implicit finite difference approach. In the case of n = 0.5 (power-law index), when We (Weissenberg number) improves from 0 to 4, surface friction [Formula: see text] upsurges by approximately 23% and declines by around 41% in the case of n = 1.5. The mass transport intensity of liquid oxygen is about 18% higher than liquid nitrogen’s. Increasing the wedge angle results in a significant increase in fluid velocity.

Mice can generate a cognitive map of an environment based on self-motion signals when there is a fixed association between their starting point and the location of their goal.

Background Mechanical thrombectomy has changed the landscape of acute ischemic stroke treatment, offering improved outcomes for patients with large vessel occlusions. The interplay between reperfusion techniques and occlusion sites remains a critical consideration in treatment decisions. This study investigates the impact of primary reperfusion techniques—stent retriever classic, stent retriever combination with aspiration, and direct aspiration—on procedural and clinical outcomes at different occlusion sites. Methods Using data from the ASSIST registry, a prospective multinational initiative, patients with anterior circulation acute ischemic stroke with large vessel occlusions (n = 1477) were included. Three primary occlusion sites—M1 segment of the middle cerebral artery, M2 segment of the middle cerebral artery, and the internal carotid artery—were studied. Univariate tests and multivariable logistic regression models were used to assess associations between reperfusion techniques and procedural and clinical outcomes, including the expanded thrombolysis in cerebral infarction score and the modified Rankin Scale, stratified by occlusion site. Results Achieving expanded thrombolysis in cerebral infarction ≥2c after first pass was lower in internal carotid artery occlusions (18.2%, P

The objective of this study was to validate and test the efficacy of a 16-week tele-yoga intervention for perceived stress, anxiety, depression, and insomnia in individuals who had had COVID-19 infection in the previous year, and had reported moderately high levels of psychological stress (PSS ≥14). 25 and 50-min versions of the program were developed. They were then validated using Lawshe’s content validity ratio after obtaining feedback from 20 yoga therapy experts. The safety and efficacy of the two programs were subsequently tested in a prospective, multicenter, open-label single-arm study. Eighty-six adults (18 male, 68 female) were recruited from two tertiary mental healthcare institutions, 48 in NIMHANS, Bengaluru; and 38 in SCARF, Chennai. Participants were assessed at weeks zero, 4, and 16 using validated tools. Data were analyzed using a Mixed Model, Intention to Treat approach. After week 16, 31 subjects remained in the trial and continued to practice yoga without any side effects. Subjects who adhered in the trial had significantly higher levels of baseline anxiety and depression as compared to subjects who dropped out. Results at week 4 included significant reductions in levels of perceived stress, anxiety, and insomnia; improvements were maintained at week 16. Correlations between number of yoga sessions and post-intervention PSS scores were negative (r = −0.49), and significant (p

Modification of titania nanophotocatalysts is well-recognized for their efficacy in photocatalysis under UV irradiation, particularly in organic dye degradation applications. This research focuses on the structural modification of TiO2 nanoparticles through the integration of biogenic carbon dots (CDs) to tailor its optical characteristics and thereby to redefine its photocatalytic functionalities. CDs are carbon nanoparticles with dimensions less than 10 nm adorned with organic functional groups which exhibit distinctive optical and electronic properties, rendering them versatile for numerous applications. In this study, carbon dots were synthesized from Mentha piperita (peppermint) using a hydrothermal method. The resulting TiO2 and CDs@TiO2 nanomaterials underwent thorough characterization via XRD, FTIR, UV-DRS spectroscopy, SEM, and HRTEM techniques. Crystal violet dye degradation studies were conducted, revealing enhanced degradation efficiency (97 %) for CDs@TiO2 in comparison to TiO2 (67 %). The kinetic study revealed that the degradation process fits well with the pseudo second order kinetics. This investigation underscores the pivotal role of carbon dots in augmenting photocatalytic efficiency by mitigating charge carrier recombination, attributed to their electron acceptor-donor characteristics. Additionally, the study portrays the potential of carbon dots derived from eco-friendly sources, such as pepper mint, to serve as a supportive element in the design and advancement of an efficient visible light-based photocatalyst.

Chaput tubercle fracture is a counterpart to adolescent tillaux fracture, which occurs at the anterolateral part or at the attachment site of the antero-inferior tibiofibular ligament on the distal tibia. It is rare and its presentation may not be well appreciated in X RAYS which depicts the importance of a CT scan of ankle to reveal the same. A 25-year-old gentleman presented to us in the casualty with acute onset of pain, swelling and restricted movements at the ankle joint following a road traffic accident. CT Ankle revealed a chaput fracture along with bimalleolar fracture (posterior and lateral malleoli). The complex displaced fracture was managed with open reduction internal fixation with plate osteosynthesis for the posterior malleoli and lateral malleoli, tension band wiring was done for the chaput tubercle fracture. At the end of 2 years follow up, Patient was able to mobilise without any support. Through this case report, we would like to enumerate the rarity of chaput tubercle fracture associated with bimalleolar fracture of ankle which will be evaluated better with a CT evaluation at the first place. At the same time, it gives valuable information for the preoperative surgical plan.

The prime objective of the work focuses on the synthesis of novel chalcone derivative, the 2-3-(3-hydroxyphenyl)-1-[4-(1H-imidazol-1-yl) phenyl] prop-2-en-1-one (HIPP) and study its corrosion inhibition for mild steel in 1M HCl. Various spectroscopic techniques such as IR, 1H-NMR, 13C-NMR, and mass spectroscopy were used to confirm the formation of the synthesized chalcone. Distinct electrochemical techniques like potentiodynamic Tafel polarization and impedance spectroscopy were employed to investigate HIPP in 1M HCl as a mild steel corrosion inhibitor. The synthesized chalcone was checked in a temperature range varying from 30° C to 60° C. With increasing quantities of HIPP, it is noticed that there is an enhancement in calculated corrosion inhibition efficiency. The maximum inhibition efficiency obtained was found to be 94.3 % in the presence of 100 ppm at room temperature. Surface morphology of unhindered and inhibited HIPP was analysed using scanning electron microscopy (SEM), atomic force microscopy (AFM) and water contact angle (WCA) measurements. SEM investigation revealed that the inhibitor effectively protects the metal surface from aggressive corrosion. Atomic force microscopic images show the corroded MS surface roughness in the presence of HIPP reduced from 342.1 nm to 174.3 nm. Furthermore, the inhibitor's adsorption through electron-donor acceptor interactions was revealed by DFT calculations and MD studies.

Measuring the activity of hundreds of neurons in macaque brains simultaneously provides further evidence that drift-diffusion dynamics underlie how decisions are made in the brain.

BackgroundBy 2023, COVID-19 had caused 6.8 million deaths in the United States. COVID-19 presents more severely in leukemia compared to solid tumors (OR 1.6, p

High-performance facades play an important role in achieving Net-Zero goals by 2050. As a facade manufacturing technology, 3D printing offers the opportunity to create site-specific and high-performance building envelopes. In this manuscript, the thermal performance of components fabricated with different Material Extrusion methods is studied experimentally, and the fabrication time is calculated, thereby examining both performance and fabrication viability. More specifically, this manuscript investigates the thermal performance of 3D-printed facades using Hollow-Core 3D printing (HC3DP) and explores the potential of this novel approach in creating thermally insulating, lightweight, and translucent building envelopes. The research compares the thermal resistance of HC3DP specimens to conventional material extrusion methods, such as desktop 3D printers, and granular-based, large-scale pellet extrusion. Different methods are used to determine the thermal resistance of specimens, including the dynamic thermal conductivity measurement for the desktop 3D-printed (3DP) specimens, and the steady-state hot box heat flux meter approach for HC3DP. The results demonstrate that HC3DP enables lower Thermal transmittance (U-value)s at lighter weight and faster printing speed, making it a promising avenue for further research. Additionally, the combination of HC3DP with aerogel is shown to create ultra-lightweight and thermally insulating 3D-printed facade elements. The potential of this new facade technology is also highlighted in comparison with established facade systems. All in all, the manuscript provides insights into the thermal performance of 3D-printed facades at different printing resolutions and emphasizes the importance of printing time and material consumption in determining the most promising 3D printing approach for lightweight and thermally insulating facades.

Transfemoral Trans-catheter Aortic Valve Replacement (TF-TAVR) is a safe alternative to surgical aortic valve replacement (SAVR). Protamine is used to reverse heparin and reduce post-TAVR bleeding, but concerns about risks like valve thrombosis and stroke remain. This systematic review and meta-analysis, following PRISMA guidelines, found no statistically significant difference in major bleeding complications between the protamine and control groups [(3.0 % vs. 14.4 %); RR: 0.56; P = 0.16]. No differences were noted in life-threatening bleeding, blood transfusions, 30-day mortality, or stroke. Protamine appears safe post-TAVR without increasing stroke risk, but its effectiveness in reducing bleeding needs further investigation through a multicentric randomized study.

Infective endocarditis (IE) is relatively less common in children compared to adults but can result in significant morbidity and mortality. The epidemiology of IE has shifted in recent years, from rheumatic heart disease (less prevalence) to congenital heart disease (increased survival) and an increase in the use of central venous catheters in children with chronic illness. Children with no preexisting cardiac disease can be affected rarely. We present a case of a 13-year-old boy with no cardiac disease, presented with a fever. He had a history of surgery for hypospadias 3 weeks before presentation. He was diagnosed with IE according to modified Duke criteria. The blood cultures grew methicillin-resistant Staphylococci aureus. The case was surgically deferred in view of his clinical condition and was managed medically. We emphasize the importance of having a high index of suspicion for endocarditis in children with fever even without cardiac disease.

Vision loss among the elderly is a major health-care problem. Vision impairment is associated with a decreased ability to perform activities of daily living and an increased risk for depression. Cataract is a common cause of vision impairment among the elderly, but surgery is often effective in restoring vision. We describe the Sankara model of Gift of Vision, the doorstep-to-doorstep model of community eye care that offers high quantity–high-quality eye care. Our model demonstrates how a cost-effective one-time intervention such as a cataract surgery not only restores vision but also their quality of life.

Abstract Objective This study aimed to analyze the effect of different gantry angles on portal imaging in terms of isocenter shifts and their dosimetric impact on dose delivery. Methods Thirty patients with head and neck cancers were prospectively selected for this study. The reference anterior to posterior (AP) digitally reconstructed reference radiograph image was obtained at a gantry angle of 0°. The AP portal images were acquired at angles of 0°, 0.5°, 1°, 1.5°, and 2.0°. The average deviation of the isocenter shift with respect to the zero‐gantry angle was calculated. To check the dosimetric effects, the reference fluence was compared with different fluences measured at different isocenter shifts. Results The average isocenter shift differences in the lateral direction were 0.7 mm, 1.3 mm, 1.9 mm, and 2.5 mm. The average difference was

Abstract Aims Takotsubo syndrome (TTS) is a rare complication of vaccination. In this study, we sought to provide insight into the characteristics of reported TTS induced by vaccination. Methods and results We did a systematic review, searching PubMed, Embase, Web of Science, Ovid MEDLINE, Journals@Ovid, and Scopus databases up to 26 April 2023 to identify case reports or case series of vaccine‐induced TTS. We then extracted and summarized the data from these reports. Eighteen reports were identified, with a total of 19 patients with TTS associated with vaccinations. Of the 19 included patients, the majority were female (n = 13, 68.4%) with a mean age of 56.6 ± 21.9 years. Seventeen patients developed TTS after coronavirus disease 2019 vaccination, 14 of whom received an mRNA vaccination. Two cases of TTS occurred after influenza vaccination. Among the 19 patients, 17 (89.5%) completed transthoracic echocardiography and 16 (84.2%) underwent angiography procedures. Seven patients (36.8%) completed cardiac magnetic resonance imaging. The median time to symptom onset was 2 (inter‐quartile range, 1–4) days. The most common symptoms were chest pain (68.4%), dyspnoea (57.9%), and digestive symptoms (31.6%). A total of 57.9% of patients developed nonspecific symptoms such as fatigue, myalgia, diaphoresis, and fever. Among the 16 reported cases of TTS, 15 patients (93.8%) exhibited elevated cardiac troponin levels, while among the nine reported cases, eight patients (88.9%) had elevated natriuretic peptide levels. All patients had electrocardiographic changes: ST‐segment change (47.1%), T‐wave inversion (58.8%), and prolonged corrected QT interval (35.3%). The most common TTS type was apical ballooning (88.2%). Treatment during hospitalization typically included beta‐blockers (44.4%), angiotensin‐converting enzyme inhibitors/angiotensin receptor blockers (33.3%), and diuretics (22.2%). After treatment, 81.3% of patients were discharged with improved symptoms. Among this group, nine patients (56.3%) were reported to have recovered ventricular wall motion during follow‐up. Two patients (12.5%) died following vaccination without resuscitation attempts. Conclusions TTS is a rare but potentially life‐threatening complication of vaccination. Typical TTS symptoms such as chest pain and dyspnoea should be considered alarming symptoms, though nonspecific symptoms are common. The risks of such rare adverse events should be balanced against the risks of infection.

Introduction: People who use drugs in community settings are at risk of a fatal overdose, which can be mitigated by naloxone administered via bystanders. In this study we sought to investigate methods of estimating and tracking opioid overdose reversals by community members with take-home naloxone (THN) to coalesce possible ways of characterizing THN reach with a metric that is useful for guiding both distribution of naloxone and advocacy of its benefits. Methods: We conducted a scoping review of published literature on PubMed on August 15, 2022, using PRISMA-ScR protocol, for articles discussing methods to estimate THN reversals in the community. The following search terms were used: naloxone AND (“take home” OR kit OR “community distribution” OR “naloxone distribution”). We used backwards citation searching to potentially find additional studies. Overdose education and naloxone distribution program-based studies that analyzed only single programs were excluded. Results: The database search captured 614 studies, of which 14 studies were relevant. Backwards citation searching of 765 references did not reveal additional relevant studies. Of the 14 relevant studies, 11 were mathematical models. Ten used Markov models, and one used a system dynamics model. Of the remaining three articles, one was a meta-analysis, and two used spatial analysis. Studies ranged in year of publication from 2013–2022 with mathematical modeling increasing in use over time. Only spatial analysis was used with a focus on characterizing local naloxone use at the level of a specific city. Conclusion: Of existing methods to estimate bystander administration of THN, mathematical models are most common, particularly Markov models. System dynamics modeling, meta-analysis, and spatial analysis have also been used. All methods are heavily dependent upon overdose education and naloxone distribution program data published in the literature or available as ongoing surveillance data. Overall, there is a paucity of literature describing methods of estimation and even fewer with methods applied to a local focus that would allow for more targeted distribution of naloxone.

Abstract Clinical application of cardiac magnetic resonance (CMR) is expanding but CMR assessment of LV diastolic function is still being validated. The purpose of this study was to validate assessments of left ventricular (LV) diastolic dysfunction (DD) using CMR by comparing with transthoracic echocardiography (TTE) performed on the same day. Patients with suspected or diagnosed cardiomyopathy (n = 63) and healthy volunteers (n = 24) were prospectively recruited and included in the study. CMR diastolic parameters were measured on cine images and velocity-encoded phase contrast cine images and compared with corresponding parameters measured on TTE. A contextual correlation feature tracking method was developed to calculate the mitral annular velocity curve. LV DD was classified by CMR and TTE following 2016 guidelines. Overall DD classification was 78.1% concordant between CMR and TTE (p

OBJECTIVES: The objective of this study was to devise a low-cost indigenous gelatin-based vascular phantom and to compare this newly constructed phantom with a commercially available phantom. METHODS: This was a randomized crossover study conducted at a tertiary care hospital of India. The aim of the study was to develop a prototype low-cost gelatin-based vascular phantom and compare it with a commercially available phantom. Gelatin, psyllium husk, corn starch, antiseptic liquid, food-coloring agent, latex balloons, and metallic containers were used to prepare the gelatin phantom. The newly prepared gelatin model was labeled “Model A” and the commercially available gelatin model was labeled “Model B.” Emergency medicine residents (n = 34) who routinely perform ultrasound (USG)-guided invasive procedures were asked to demonstrate USG-guided in-plane and out-of-plane approach of needle-tracking in both the models and fill out a questionnaire on a Likert scale (1–5). An independent supervisor assessed the image quality. RESULTS: The cost of our phantom was USD 6–8 (vs. USD 1000–1200 for commercial phantom). The participants rated the ease of performance and tissue resemblance as 4 (interquartile range [IQR]: 4–5) for both the models “A” and “B.” The supervisor rated the overall performance as 4 (IQR: 3–4) for both the models. In all the parameters assessed, model A was noninferior to model B. CONCLUSION: The indigenously developed vascular phantom was noninferior to the commercially available phantom in terms of tissue resemblance and overall performance. The cost involved was a fraction of that incurred with the currently available commercial model. The authors feel that gelatin-based models can be easily prepared in resource-constraint settings which may be used for USG-guided training and medical education in low- and middle-income countries.

Background: Numerous studies have reported the prevalence of psychological issues in anesthesia professionals during stressful situations like the COVID-19 pandemic; however, there are limited data exploring the coping strategies and work satisfaction in this workforce during the pandemic. Methodology: In this observational cross-sectional study, three validated questionnaires, namely, the Depression, Anxiety and Stress Scale 21, the Brief-Coping Orientation to Problems Experienced inventory, and the Work-related Sense of Coherence (Work-SoC) scale, were handed out to 150 anesthesia health-care providers (doctors and allied health staff [AHS]). The prevalence of depression, anxiety, and stress; Work-SoC conditions; and coping strategies were compared between groups of participants based on age (

Artificial intelligence has been used in a variety of industries during the course of its growth, especially over the past decade as a result of the enormous rise in data accessibility. Its main objective is to assist people in making judgements that are more reliable, quick, and accurate. The usage of machine learning and artificial intelligence in the medical profession is growing. This is especially true for medical fields that employ a variety of biological picture kinds and where diagnostic procedures rely on collecting and analysing a substantial amount of digital data. Machine learning-based evaluation of medical photos enhances reporting uniformity and accuracy. In order to help decision-makers make the most accurate diagnosis, this study promotes the use of machine learning algorithms to evaluate chest X-ray images. With the aid of the CNN (Convolutional Neural Network) algorithm, the process will "learn" based on previously collected X-ray data from both healthy and sick patients (the training set). This research provides an approach to photo interpretation based on deep learning. This technique will reduce radiologists' burden because of its accuracy of more than 91% and nearly immediate findings, especially for those who must analyse an extensive amount of patient pictures.

ABSTRACT The cyst wall of the eye pathogen Acanthamoeba castellanii contains cellulose and has ectocyst and endocyst layers connected by conical ostioles. Cyst walls contain families of lectins that localize to the ectocyst layer (Jonah) or the endocyst layer and ostioles (Luke and Leo). How lectins and an abundant laccase bind cellulose and why proteins go to locations in the wall are not known and are the focus of the studies here. Structural predictions identified β-jelly-roll folds (BJRFs) of Luke and sets of four disulfide knots (4DKs) of Leo, each of which contains linear arrays of aromatic amino acids, also present in carbohydrate-binding modules of bacterial and plant endocellulases. Ala mutations showed that these aromatics are necessary for cellulose binding and proper localization of Luke and Leo in the Acanthamoeba cyst wall. BJRFs of Luke, 4DKs of Leo, a single β-helical fold (BHF) of Jonah, and a copper oxidase domain of the laccase each bind to glycopolymers in both layers of deproteinated cyst walls. Promoter swaps showed that ectocyst localization does not just correlate with but is caused by early encystation-specific expression, while localization in the endocyst layer and ostioles is caused by later expression. Evolutionary studies showed distinct modes of assembly of duplicated domains in Luke, Leo, and Jonah lectins and suggested Jonah BHFs originated from bacteria, Luke BJRFs share common ancestry with slime molds, while 4DKs of Leo are unique to Acanthamoeba.IMPORTANCEAcanthamoebae is the only human parasite with cellulose in its cyst wall and conical ostioles that connect its inner and outer layers. Cyst walls are important virulence factors because they make Acanthamoebae resistant to surface disinfectants, hand sanitizers, contact lens sterilizers, and antibiotics applied to the eye. The goal here was to understand better how proteins are targeted to specific locations in the cyst wall. To this end, we identified three new proteins in the outer layer of the cyst wall, which may be targets for diagnostic antibodies in corneal scrapings. We used structural predictions and mutated proteins to show linear arrays of aromatic amino acids of two unrelated wall proteins are necessary for binding cellulose and proper wall localization. We showed early expression during encystation causes proteins to localize to the outer layer, while later expression causes proteins to localize to the inner layer and the ostioles.

Introduction of Real-Time Market (RTM) on June 1st, 2020, marked pivotal advancement in electricity trading in India featuring bi-hourly auctions and power transmission based on temporal blocks. Adherence to operational protocols outlined in Procedure for Scheduling Collective Transactions in RTM along with statutory directives like CERC Power Market Regulations 2010 ensures efficient market operation. Notable features include 15-minute contract trading, clandestine bidding and authorization from SLDC. Day-Ahead Market (DAM) facilitates electricity exchange through double-sided closed auctions ensuring compliance with regulatory protocols. In this study we explore whether Real Time Spot Electricity Market in India has impacted Day-Ahead Spot Electricity Market. Findings of the study provide crucial insights for market participants, stakeholders, open access consumers and electric utilities is India.

Drug-resistant parasitic nematodes pose a grave threat to plants, animals, and humans. An innovative paradigm for treating parasitic nematodes is emphasized in this opinion. This approach relies on repurposing methuosis (a death characterized by accumulation of large vacuoles) inducing anticancer drugs as anthelmintics. We review drugs/chemicals that have shown to kill nematodes or cancerous cells by inducing multiple vacuoles that eventually coalesce and rupture. This perspective additionally offers a succinct summary on Structure-Activity Relationship (SAR) of methuosis-inducing small molecules. This strategy holds promise for the development of broad-spectrum anthelmintics, shedding light on shared molecular mechanisms between cancer and nematodes in response to these inducers, thereby potentially transforming both therapeutic domains.

The incidence of a subscapularis tear combined with any other rotator cuff tear is around 19% to 49% among all rotator cuff lesions. On the contrary, less attention has been given to the treatment of anterosuperior rotator cuff tears, particularly by arthroscopic methods. Subscapularis lesions are hard to access and require advanced surgical technique along with optimum visualization to achieve an anatomic repair. Use of an anterior portal helps in obtaining a good visualization with a 30° arthroscope in viewing the tendon along its axis as well as the posterior, superior, and anterior sides. Incorporation of the biceps tendon along with supraspinatus repair helps strengthen the supraspinatus repair as well as preserve the acromiohumeral index. Double-row repair of both subscapularis and supraspinatus ensures an adequate bone bed for tendon healing.

A newly synthesized Schiff base, consisting 3-methyl-2-{(E)-[(2E)-3-phenylprop-2-en-1-ylidene] amino} butanoic acid, is utilized to prevent mild steel from corroding in acidic environments. FTIR spectra validate the prepared SB. The corrosion rate at various temperatures was measured using electrochemical techniques like as polarization and electrochemical impedance tests. At a higher temperature of 333K, this molecule exhibits about 90% inhibition efficacy with 50 ppm inhibitor. The corrosion inhibition mechanism was measured using thermodynamic and adsorption characteristics. These findings suggest that chemical adsorption causes a surface layer to form on the metal surface. The Langmuir adsorption isotherm is followed. The creation of the adsorption layer on the metal surface is confirmed by SEM and AFM pictures. Quantum chemical calculations were calculated and discussed.

Introduction Poweromin X Ten (PXT) is a polyherbal formulation, traditionally used to enhance male sexual function. However, the safety and benefits of PXT have not been scientifically evaluated. Therefore, the present study investigated the toxicity and aphrodisiac potential of PXT in male rats and explored its principal mechanisms of action. Methods Male Wistar rats were orally administered PXT (50 or 100 mg/kg) for 28 days, and sexual activity parameters, including latency and frequency of mounting and intromissions, were studied. The reproductive toxicity and spermatogenic potential were also examined. Furthermore, dopamine and serotonin levels in brain regions associated with sexual activity were assessed. Network analysis was used to identify the key bioactive compounds and their core targets involved in their beneficial actions. Results Treatment with PXT improved sexual activity in male rats, as evidenced by reduced mounting and intromission latency and a significant increase in mount frequency. Moreover, PXT exhibited spermatogenic potential and did not induce reproductive toxicity. Notably, treatment with 50 mg/kg PXT elevated dopamine levels in median preoptic area and hypothalamus. Pathway analysis indicated that PXT primarily modulated the PI3K-Akt, calcium, and MAPK signalling pathways to enhance male sexual function. Network analysis identified macelignan, β-estradiol, testosterone, and paniculatine as key bioactive components of PXT, which likely act through core targets, such as androgen receptor (AR), Mitogen-activated protein kinase 3 (MAPK3), epidermal growth factor receptor (EGFR), estrogen receptor 1 (ESR1), and vascular endothelial growth factor (VEGF) to facilitate the improvement of male sexual function. Conclusion Study results suggest that PXT is a safer alternative with aphrodisiac and spermatogenic potential. These effects are partly attributed to the enhanced dopamine levels in the brain. Furthermore, this study provides insights into the specific signalling pathways and bioactive compounds that underlie the improvements in male sexual function associated with PXT.

Abstract A supercritical carbon dioxide (SCCO2) fluid, characterized by gas‐like diffusivity, near‐zero surface tension, and excellent mass transfer properties, is used as a precursor to produce silicon oxycarbide (SiOC) coating. SCCO2 disperses and reacts with Si particles to form an interfacial layer consisting of Si, O, and C. After an 850 °C annealing process, a conformal SiOC coating layer forms, resulting in core‐shell Si@SiOC particles. High‐resolution transmission electron microscopy and its X‐ray line‐scan spectroscopy, X‐ray photoelectron spectroscopy, Fourier‐transform infrared spectroscopy, and Raman spectroscopy, are used to examine the SiOC formation mechanism. Effects of SCCO2 interaction time on the SiOC properties are investigated. The SiOC layer connects the Si@SiOC particles, improving electron and Li+ transport. Cyclic voltammetry, galvanostatic intermittent titration technique, and electrochemical impedance spectroscopy are employed to examine the role of SiOC during charging/discharging. Operando X‐ray diffraction data reveal that the SiOC coating reduces crystal size of the formed Li15Si4 and increases its formation/elimination reversibility during cycling. The Si@SiOC electrode shows a capacitiy of 2250 mAh g−1 at 0.2 A g−1. After 500 cycles, the capacity retention is 72% with Coulombic efficiency above 99.8%. A full cell consisting of Si@SiOC anode and LiNi0.8Co0.1Mn0.1O2 cathode is constructed, and its performance is evaluated.

Corrosion is serious problem in many industries, and, unfortunately, metal structures in particular are susceptible to the damage it can cause. For this reason, it's important to take the necessary steps to protect against corrosion. Organic chemical compounds, which are significant and naturally occurring molecules, have been shown to be very effective corrosion inhibitors. According to research, chemical compounds that contain oxygen, sulphur, and nitrogen have the strongest inhibitory action. Organic and natural corrosion inhibitors protect metal surfaces by creating protective films. This review focused on the effectiveness of natural corrosion inhibitors and organic compounds in resisting corrosion. The review also examined how some of these compounds halted the corrosion of mild steel in acidic solutions using electrochemical impedance and polarization. Adsorption behaviour and thermodynamic variables were also examined. The study further used SEM micrographs to analyze the surface morphology of mild steel. In this review paper, it gives the types of corrosion, inhibitors, control measures and techniques for corrosion control of mild steel. This will give the inhibition mechanism, inhibition efficiency and effective method of corrosion control. Theoretical studies, Activation parameters adsorption studies, surface morphology was also discussed. Overall, this paper will give the glimpses of corrosion control and research gap in the present scenario. This study aims to encourage a wider use of organic corrosion inhibitors by providing a comprehensive overview of current research on this topic.