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Muhammad Imran Ahmad,1 Muhammad Umair Khan,2,3 Sudha Kodali,1,4 Akshay Shetty,1,4 S Michelle Bell,4 David Victor1,4 1Lynda K and David M Underwood Center for Digestive Disorders, Division of Gastroenterology and Hepatology, Houston Methodist Hospital Houston, Houston, TX, USA; 2Department of Gastroenterology and Hepatology, Hamad Medical Corporation, Doha, Qatar; 3ECPE- Executive and Continuing Professional Education, Harvard T.H Chan School of Public Health, Boston, MA, 02115-5810, USA; 4Sherrie and Alan Conover Center for Liver Disease and Transplantation, Houston Methodist Hospital, Houston, TX, USACorrespondence: David Victor, Associate Professor of Clinical Medicine, Sherrie and Alan Conover Center for Liver Disease and Transplantation, Houston Methodist Hospital, Houston, TX, USA, Email Dwvictor@houstonmethodist.orgAbstract: Obesity has been labeled as the global pandemic of the 21st century, resulting from a sedentary lifestyle and caloric excess. Nonalcoholic fatty liver disease (NAFLD), characterized by excessive hepatic steatosis, is strongly associated with obesity and metabolic syndrome and is estimated to be present in one-quarter of the world population, making it the most common cause of the chronic liver disease (CLD). NAFLD spectrum varies from simple steatosis to nonalcoholic steatohepatitis (NASH) and cirrhosis. The burden of NAFLD has been predicted to increase in the coming decades resulting in increased rates of decompensated cirrhosis, hepatocellular carcinoma (HCC), and liver-related deaths. In the current review, we describe the pathophysiology of NAFLD and NASH, risk factors associated with disease progression, related complications, and mortality. Later, we have discussed the changing epidemiology of HCC, with NAFLD emerging as the most common cause of CLD and HCC. We have also addressed the risk factors of HCC development in the NAFLD population (including demographic, metabolic, genetic, dietary, and lifestyle factors), presentation of NAFLD-associated HCC, its prognosis, and the issue of HCC development in non-cirrhotic NAFLD. Lastly, the problems related to HCC screening in the NAFLD population, the remaining challenges, and future directions, especially the need to identify the high-risk individuals, will be discussed. We will conclude the review by summarizing the clinical evidence for treating fibrosis and preventing HCC in those at risk with NAFLD-associated HCC.Keywords: nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, hepatocellular carcinoma, metabolic syndrome, HCC screening

Arif Khan,1,* Mohd Azam,2,* Khaled S Allemailem,2 Faris Alrumaihi,2 Ahmad Almatroudi,2 Fahad A Alhumaydhi,2 Hafiz Iqtidar Ahmad,3 Masih Uzzaman Khan,4 Masood Alam Khan1,* 1Department of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi Arabia; 2Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi Arabia; 3Department of Tashreeh Wa Munafeul Aza, Faculty of Unani Medicine, Aligarh Muslim University, Aligarh, 202002, India; 4Department of Pharmaceutical Chemistry & Pharmacognosy, Unaizah College of Pharmacy, Qassim University, Buraydah, 51452, Saudi Arabia*These authors contributed equally to this workCorrespondence: Masood Alam KhanCollege of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi ArabiaTel +966-507059437Email a_khan@qu.edu.saBackground: Azoles are the most common antifungal drugs used in the treatment of vulvovaginal candidiasis (VVC). The frequency of azole-resistant Candida isolates has increased dramatically in the last two decades. Here, we assessed the antifungal activity of a combination of fluconazole (FLZ) and methanolic extract of ginger (Meth-Gin) against drug-resistant vulvovaginal candidiasis (VVC) in a murine model.Methods: The in vitro activity of FLZ or a combination of FLZ and Meth-Gin was determined against Candida albicans by the agar well diffusion, macrodilution, time-kill and the biofilm eradication methods. The therapeutic efficacy of the formulations was assessed by analyzing the fungal load, pro-inflammatory cytokines, percent apoptotic cells and the histological changes in the vaginal tissues of the mice. Moreover, the renal toxicity the drug formulation was evaluated by analyzing the levels of the blood urea nitrogen (BUN) and creatinine.Results: The results of in vitro study demonstrated that FLZ did not show any activity against C. albicans, whereas a combination of FLZ and Meth-Gin demonstrated greater activity as shown by the data of the zone of growth inhibition, MIC and time-kill assay. FLZ or Meth-Gin treatment could not completely cure VVC, whereas a combination of FLZ and Meth-Gin was greatly effective in the treatment of VVC. The vaginal tissue from mice of the infected control group had the highest fungal load of 155370 ± 20617 CFUs. Treatment with FLZ at a dose of 40 mg/kg reduced the fungal load to 120863 ± 10723 CFUs. Interestingly, the mice treated with a combination of FLZ (40 mg/kg) and Meth-Gin (200 mg/kg) had a fungal load of 256 ± 152 CFUs. Besides, FLZ and Meth-Gin combination effectively reduced the pro-inflammatory cytokines (IL-1β, TNF-α and IL-17) and the percentage of apoptotic cells in the vaginal tissues. Likewise, the histological analysis revealed the epithelial necrosis, shedding and ulceration in the vaginal tissue, whereas treatment with FLZ and Meth-Gin combination reversed the histopathological changes in the vaginal epithelium and lamina propria.Conclusion: The findings of the current study suggest that the co-administration of Meth-Gin and FLZ may have a potential therapeutic effect in the treatment of azole-resistant candidiasis.Keywords: fluconazole, candidiasis, ginger extract, inflammation, cytokines

Objective: The present study was aimed to evaluate the practices and attitudes of young Malaysian adults towards the use of antibiotics, and to determine the socioeconomic factors associated with the antibiotic use. Methods: A survey was carried in Cheras community by approaching a conveniently selected sample of 480 participants. A pre-tested questionnaire was used for data collection. Result: Of 480 participants approached, 400 agreed to participate in this study, giving a response rate of 83.3%. The study results showed that 42.75% of the participants exhibited poor attitudes towards antibiotic usage. Chinese race and high income were significantly associated with the positive attitudes towards antibiotic usage. It is shown that the practice of the participants towards antibiotics was relatively poor. The majority of participants agreed that they do not consult a doctor for minor illnesses (64%). The main reason for not consulting a doctor was the high fees of consultation (34.25%) and the inconvenience of visit (29.25%). However, a large proportion of respondents (77.5%) agreed that there is a need to enhance antibiotic education among public. Conclusion: The study results identified some crucial gaps in the attitudes and practices of Cheras community about the use of antibiotics. Thus, improving the public knowledge and changing their attitude towards antibiotic use along with proper interventions to regulate the ease of their availability would play a significant role for the effective use of antibiotics in the community.

Background: There is limited research on pharmacy specialization based differences with regards to usage of antibiotics. Objective: To compare the knowledge, attitude and practice of Bachelor of Pharmacy (BPharm) and Doctor of Pharmacy (PharmD) students about usage and resistance of antibiotics in Southern India. Methods: This was a cross sectional study involving final year BPharm and PharmD students studying in two private institutions located in Andra Pradesh, India. The study was conducted for the period of 3 months. The questionnaire was divided into 5 components: demographics, knowledge about antibiotic use, attitude towards antibiotic use and resistance, self-antibiotic usage, and possible causes of antibiotic resistance. The study questionnaire was assessed for reliability. Data were analysed by employing Mann Whitney and chi square tests using SPSS version 19. Results: The sample size comprised of 137 students. The response rate was 76.11% for the study. There was a significant difference in the knowledge of antibiotic use in BPharm and PharmD students (Mean score: 5.09 vs 6.18, p

Euphorbia dracunculoides Lam. possesses significant biological potential due to its rich bioactive compounds. To enhance this potential, zinc oxide nanoparticles (ZnO NPs) were synthesized using the methanolic extract of E. dracunculoides, exploiting ZnO NPs’ superior physiochemical properties and bioavailability. The synthesis of ZnO NPs was confirmed through UV–Vis spectroscopy (with an absorption maximum at 368 nm), X-ray diffraction (crystalline nature), Fourier transform infrared spectroscopy (functional groups involved in Zn²⁺ reduction), scanning electron microscopy (rod-shaped and triangular morphologies, average size 79 nm), and EDX (presence of Zn and O). The ED-ZnO NPs exhibited dose-dependent cytotoxicity against U87 cells (IC50: 229.51 µg·mL−1) and anti-leishmanial activity against Leishmania tropica promastigotes (IC50: 9.11 µg·mL−1). Additionally, in vivo studies demonstrated significant antihyperlipidemic effects, with decreased cholesterol, triglyceride, and low-density lipoprotein levels, and increased high-density lipoprotein levels. ED-ZnO NPs also normalized alkaline phosphatase, alanine transaminase, aspartate transaminase, total bilirubin, creatinine, urea, and glucose levels compared to controls. Overall, ED-ZnO NPs effectively enhance the bioactive compounds’ efficacy in treating various disorders.

Abstract Wastewater produced in beryllium mining seriously affects ecological balance and causes great environmental pressure. We designed a novel porous lotus leaf biochar modified with PO4 3−/NH4 + multifunctional groups (MLLB) and used it for beryllium(Be) removal from beryllium mining wastewater. Kinetic and thermodynamic experiments showed that the adsorption capacity (Qe) of Be with MLLB from the simulated beryllium mining wastewater could reach 40.38 g kg−1 (35 °C, pH = 5.5), and the adsorption process was spontaneous and endothermic. The dispersion coefficient Kd of Be with MLLB was 2.6 × 104 mL g−1, which proved that MLLB had strong selective adsorption capacity for Be. Phosphoric acid, ammonia, and hydroxyl groups on the MLLB surface would complex with Be to form Be(OH)2 and Be(NH4)PO4 complexation products, which implied that surface complexation and precipitation reactions might co-existed in the adsorption process. The above results showed that MLLB could effectively adsorb Be and prevent beryllium exposure in a beryllium mining process. Graphical Abstract

This article is mainly concerned to link the Hermite-Hadamard and the Jensen-Mercer inequalities by using majorization theory and fractional calculus. We derive the Hermite-Hadamard-Jensen-Mercer-type inequalities in conticrete form, which serve as both discrete and continuous inequalities at the same time, for majorized tuples in the framework of the famous Atangana-Baleanu fractional operators. Also, the main inequalities encompass the previously established inequalities as special cases. Using generalized Mercer’s inequality, we also investigate the weighted forms of our major inequalities for certain monotonic tuples. Furthermore, the derivation of new integral identities enables us to construct bounds for the discrepancy of the terms concerning the main results. These bounds are constructed by incorporating the convexity of ∣f′∣| f^{\prime} | and ∣f′∣q(q>1){| f^{\prime} | }^{q}\hspace{0.33em}\left(q\gt 1) and making use of power mean and Hölder inequalities along with the established identities.

The implementation of three-dimensional (3D) printing technology has culminated in a notable rise in productivity and operational effectiveness for manufacturers. Additive manufacturing (AM) is a manufacturing technology that implies an alteration from the conventional approach of material removal. The fundamental idea underlying the AM technique is the gradual buildup of layers (layer-on-layer accumulation). In conventional approaches, every component can have detrimental implications due to the direct interaction between the tool and the workpiece, leading to the loss of heat through friction. The utilisation of 3D printing as a way to surpass conventional processing methods signifies a novel development in several sectors. This method involves the utilisation of unconventional techniques for the fabrication of components. The primary objective of this research is to investigate the chemical vapour jet drilling technique specifically applied to acrylonitrile butadiene styrene (ABS) materials. The intent is to enhance the surface characteristics, or surface finish (SF), and the dimensional accuracy (DA) of ABS workpieces. An evaluation regarding the reliability, repeatability, as well as preciseness of the vapour jet drilling (VJD) process is conducted via the utilisation of experiment and data analysis. The study employed a Taguchi L9 design of experiments to carry out a series of tests aimed at analysing the implications of three independent variables: pressure, flow rate, and standoff distance. The researchers employed a multiresponse optimisation approach to attain an optimal combination of parameters that resulted in a superior SF with DA. Consequently, the overall appeal of the outcome was reached. The process’s capabilities and dependability were assessed by conducting tests on the substrates at their optimal settings. Surface roughness and circularity were measured at numerous locations on the substrates. The study determined that the process capability indices (C p and C pk) had values over 1.33 for each of the response parameters, with C pk values also exceeding 1. The analysis of histograms and capability indices demonstrates that the VJD method, when conducted under optimised conditions, may be categorised as statistically controlled for the processing of ABS materials.

This study examines the influence of wall velocity ratio on mixed convective heat transport in a permeable cavity containing an isothermal solid block at its center. The analysis considers the characteristics of various flow variables, i.e., Darcy number, wall velocity ratio, Richardson number, and volume fraction of suspended nanoparticles, on heat transport and material flow characteristics. The principal equations are solved implementing the semi-implicit method for pressure linked equations algorithm, and the outcomes are compared with existing literature. The study shows that rising estimations of Darcy number, velocity ratio, Richardson number, and nanoparticles volume fraction lead to improved heat transfer rates. For example, at high Richardson number (100) and solid volume fraction (0.05), increasing the velocity ratio from 0.5 to 1.5 results in a 6% (5%) upsurge in heat transport rate. Conversely, at smaller Richardson number (0.01), the heat transport rate upsurges by 29% (28%). Similarly, at high Darcy numbers and low wall velocity ratios, a 3% (4%) escalate in heat transport rate is observed with an increase in nanoparticles concentration from 0 to 0.05, while a 9% (8%) increase in thermal performance is achieved at low Darcy numbers. The study emphasizes the importance of optimizing the combination of nanoparticles volume fraction, Darcy number, velocity ratio, and Richardson number to maximize thermal performance in the porous cavity.

Fuzzy Time Series (Fts) models are experiencing an increase in popularity due to their effectiveness in forecasting and modelling diverse and intricate time series data sets. Essentially these models use membership functions and fuzzy logic relation functions to produce predicted outputs through a defuzzification process. In this study, we suggested using a Second Order Type-1 fts (S-O T-1 F-T-S) forecasting model for the analysis of time series data sets. The suggested method was compared to the state-of-theart First Order Type 1 Fts method. The suggested approach demonstrated superior performance compared to the First Order Type 1 Fts method when applied to household consumption data from the Magene Regency in Indonesia, as measured by absolute percentage error rate (APER).

The need for efficient nanotechnology has led to unexpected developments. Conserving continuous thermal propagation is essential in many industrial and thermal systems because it improves the efficiency of thermal engineering engines and machinery. Therefore, a promising platform to increase thermal power energy is the hybridization of magnetic nanoparticles in a heat-supporting, non-Newtonian fluid. In light of the above applications, a mathematical model is established to analyze the variable fluid features of the thermally radiative and chemically reactive flow of a micropolar Williamson ternary hybrid nanofluid with electromagnetohydrodynamic and electroosmosis forces on a porous stretching surface. Stratification boundary conditions and variable fluid properties were used to analyze the thermal and solutal behavior of the fluid flow. Furthermore, to measure the disorder of the flow system, entropy generation was considered by the impact of Joule heating and viscous dissipation. To develop the numerical scheme BVP4C in MATLAB, we first converted the mathematical flow model into two ordinary differential equations using a suitable transformation. The graphical and numerical results were determined against several parameters of a ternary hybrid nanofluid (MWCNT,Al2O3,SiC)({\rm{MWCNT}},\hspace{0.25em}{\rm{A}}{{\rm{l}}}_{2}{{\rm{O}}}_{3},\hspace{0.25em}{\rm{SiC}}) and unary nanofluid (Al2O3)({\rm{A}}{{\rm{l}}}_{2}{{\rm{O}}}_{3}). The results indicate that the heat transfer rate is more prominent in the ternary hybrid nanofluid than in the unary nanofluid because the addition of nanofluids to the base fluid is used to improve the heat transport rate. It can be seen from the figures that a greater estimation of the magnetic and electric field parameters improves the fluid velocity because, for low values of M≤1M\le 1, the aiding force is dominant compared to the retarding force, which results in an improvement in the velocity profile. Furthermore, the entropy generation rate increases for higher values of the Brinkman number and temperature ratio parameter because more heat is produced due to the greater values of Br{\rm{Br}}.

This investigation takes into account the flow of a hybrid copper–molybdenum disulfide (Cu–MoS2)\left({\rm{Cu}}{\rm{\mbox{--}}}{{\rm{MoS}}}_{2})/water nanofluid across a plane flat surface that has been nonlinearly extended in lateral directions. Suitable boundary conditions are used to characterize the nonlinear variants in the velocity and temperature profile of the sheet. The innovative aspect of this work is to examine the impact of thermal conductivity on temperature and entropy across an extended surface using hybrid nanofluids. We obtain numerical techniques of modified boundary layer ordinary differential equations using the effective and reliable optimal homotopy analysis technique (OHAM). A graphic depiction of the influence of several parameters is shown. In this case, the hybrid model takes into account 0.010.01 of copper (Cu)\left({\rm{Cu}}) and 0.010.01 of molybdenum disulfide (MoS2){({\rm{MoS}}}_{2}) nanoparticles within base fluid water. The second principle of thermodynamics is used to compute the irreversibility factor. The performance of nanofluid and hybrid nanofluid was compared for pivotal velocity, temperature profile, and entropy formation. The estimated skin friction and Nusselt number are the significant physical parameters. It can be observed that when the values of the stretching rate ratio and power index law increase, the skin friction increases, but it can have the opposite behavior compared to the Nusselt number.

The utilization of extracorporeal membrane oxygenation (ECMO) in adult patients experiencing septic shock is a subject of ongoing debate within the medical community. This study aims to comprehensively address this issue through a systematic review conducted in accordance with the PRISMA guidelines.

Recent advances in nanoscience and nanotechnology have revolutionized the medical field, particularly in the treatment and prevention of disease. Silver nanoparticles (AgNPs) are considered one of the best supreme and most important nanomaterials with a variety of compulsive nanomaterial having diverse array of multifunctional bioapplications. The current study focuses on the green biosynthesis of AgNPs using polysaccharides extracted from Olea europaea leaves. The synthesized AgNPs were thoroughly analyzed and characterized using various spectroscopic and microscopic techniques including, UV-Vis spectroscopy, Fourier transform infrared spectroscopy (FTIR), X-ray diffraction, Energy dispersive X-ray (EDX), and Scanning electron microscopy (SEM). The absorption peak at 440 nm showed a high plasmon resonance band, confirming the formation of green AgNPs by the reduction of Ag+ ions to Ag0. FTIR analysis showed the appearance and extension of different functional groups. The results of EDX and SEM confirmed the synthesis of AgNPs with spherical shape, crystalline structure, and an average size of 64.42 nm. The biosynthesized AgNPs possessed improved antimicrobial activities, indicating the importance of biosynthesized NPs in the pharmaceutical industry. In addition, the biosynthesized AgNPs were biocompatible and exhibited anti-inflammatory activity (86.29%), almost similar to that of a standard drug (87.78%) at a concentration of 500 µL/mL. The polysaccharides obtained from O. europaea could be considered as effective reducing agent, leading to an environmentally friendly synthesis of stable and biologically important AgNPs with a wide range of applications.

In this study, we define new class of holomorphic functions associated with tangent function. Furthermore, we examine the differential subordination implementation results related to Janowski and tangent functions. Also, we investigate some extreme point theorem and partial sums results, necessary and sufficient conditions, convex combination, closure theorem, growth and distortion bounds, and radii of close-to-starlikeness and starlikeness for this newly defined functions class of holomorphic functions.

Fractional diffusion partial differential equation (PDE) models are used to describe anomalous transport phenomena in fractal porous media, where traditional diffusion models may not be applicable due to the presence of long-range dependencies and non-local behaviors. This study presents an efficient hybrid meshless method to the compute numerical solution of a two-dimensional multiterm time-fractional convection-diffusion equation. The proposed meshless method employs multiquadric-cubic radial basis functions for the spatial derivatives, and the Liouville-Caputo derivative technique is used for the time derivative portion of the model equation. The accuracy of the method is evaluated using error norms, and a comparison is made with the exact solution. The numerical results demonstrate that the suggested approach achieves better accuracy and computationally efficient performance.

Objective: To compare the efficacy of Lignocaine and Dexmedetomidine in minimizing the hemodynamic stress response associated with laryngoscopy and endotracheal intubation. Study Design: quasi-experimental study. Place and Duration of Study: Department of Anesthesiology, Combined Military Hospital Rawalpindi, Pakistan, from Jul 2020 to Feb 2021. Methodology: A total of 60 patients, aged 18-55 years were included in this study. They were randomly allocated to one of two groups. Group-L received intravenous Lignocaine, 1.5 mg/kg. Group-D received Dexmedetomidine 1 µg/kg as intravenous infusion 10 minutes before induction. Heart rate and mean arterial pressure were monitored at basal, pre-induction, induction, laryngoscopy and intubation and 1, 3, 5 and 10 minutes afterwards. Results: Significantly reduced stress response was seen in Group-D as compared to Group-L. A lesser increase in heart rate was observed during intubation as compared to basal level in Group-D (14.14%) while it was 37.66% in Group-L. MAP was also seen to be less increased in Group-D (1.07 %) as compared to Group-L (22.6%). Conclusion: Dexmedetomidine, when infused at a dose of 1 mcg/kg over 10 min prior to intubation, attenuates the hemodynamic stress response more efficiently, in comparison to 1.5 mg/kg of Lignocaine infusion.

The aim of this study is to investigate the heat and mass transfer characteristics of Burgers nanofluid in the presence of thermo-diffusion effects. The analysis considers higher-order slip effects to study the transport phenomena. Additionally, the study examines the impact of thermal radiation and chemical reactions on the flow. Variable thermal conductivity assumptions are made for heat transfer analysis. The Cattaneo–Christov model, an extension of Fourier heat and mass theories, is employed for the analysis. Heat transfer evaluation is conducted using convective thermal constraints, and numerical computations are carried out using the Runge–Kutta method. The study visually represents the impact of flow parameters through graphical analysis. It is suggested that heat transfer can be significantly improved through the interaction of slip effects, and the concentration phenomenon is enhanced by the Soret number.

The calendering process is pivotal in enhancing various materials’ surface properties and characteristics, making them indispensable for achieving desired product quality and performance. Also, this process holds significant relevance in various industrial applications, such as polymer processing, food production, and the manufacturing of composite materials. So, the aim of this study is to theoretically examine the calendering process applied to third-grade materials. It specifically explores how temperature variations impact material behavior during passage through two counter-rotating heated rolls. Particular consideration is given to the influence of temperature-dependent viscosity via Reynold’s model. The complexities of mass, momentum, and energy balance equations are reduced through the application of the Lubrication approximation theory. Solutions to these equations for variables such as velocity, flow rate, and temperature fields are accomplished by combining perturbation and numerical techniques. In relation to the calendering process, the thickness of the exiting sheet is specifically explored. Furthermore, this study quantifies substantial engineering parameters such as roll-separating force, pressure distribution, and power transferal from the rolls to the fluid. The governing equations belong to three key dimensionless parameters, namely, the Brinkman number, which is a product of Eckert number and Prandtl number, the temperature-dependent consistency index μ\mu , and a parameter η\eta correlating to non-Newtonian behavior. The outcomes of this study are presented both graphically and in tabular form. It has been observed that a rise in the third-grade parameter decreases detachment point and sheet thickness due to increased material rigidity. Furthermore, established results in the literature regarding the calendering of Newtonian fluids are validated.

Two-dimensional (2D) materials play a crucial role as fundamental electrical components in modern electronics and optoelectronics next-generation artificial intelligent devices. This study presents a methodology for creating a laterally uniform p–n junction by using a partial oxygen plasma-mediated strategy to introduce p-type doping in single channel MoTe2 device. The MoTe2 field effect transistors (FETs) show high electron mobility of about ∼23.54 cm2 V−1 s−1 and a current ON/OFF ratio of ∼106 while p-type FETs show hole mobility of about ∼9.25 cm2 V−1 s−1 and current ON/OFF ratio ∼105 along with artificially created lateral MoTe2 p–n junction, exhibited a rectification ratio of ∼102 and ideality factor of ∼1.7 which is proximity to ideal-like diode. Thus, our study showed a diversity in the development of low-power nanoelectronics of next-generation integrated circuits.

In this study, we propose hybrid conv-attention networks that combine convolutional neural networks (CNNs) and transformers to recognize targets from synthetic aperture radar (SAR) images automatically. The proposed model is designed to obtain robust features from global and local patterns in the SAR image, utilizing the weights of a pre-trained backbone model with self-attention structures. Furthermore, we adopted pre-processing and training methods optimized for transfer learning to enhance performance. By comparing and analyzing the performance between the proposed model and conventional models using the OpenSARShip and MSTAR dataset, we found that our system significantly outperforms conventional approaches, with a performance improvement of 24.06%. This considerable enhancement is attributed to the ability of the model to leverage the 2D kernel-based approach of CNNs and the sequence vector-based approach of transformers, offering a comprehensive method for SAR image target recognition.

This study aimed to examine the pollen and pollinia morpho-structure of 18 horticultural Apocynaceous species. Advanced light and scanning electron microscopy (LM and SEM) were used to elaborate on and examine the systematic importance of pollen and pollinia micromorphology. Pollen grains were first acetolysed, which was followed by visualisation of their sculpturing features. The quantified data were subjected to statistical tools to elucidate dendrogram clustering and principal component analysis to reveal pollen/pollinia morphotypes. The size of pollen is variable, ranging from 113.45 μm in Cascabela thevetia to 23.4 μm in Alstonia scholaris. The study revealed tetrad, tetraporate, and tricolporate grains. Sculpturing (exine ornamentation) varies from reticulate perforate to reticulate. Pollinum shape was observed to be narrow oblong, obovate, orbicular, and reniform. Reticulate-psilate sculptural features were prominent among pollinia surfaces. Based on examination, it was ascertained that the minimum exine thickness in Periploca aphylla was 4.9 μm, whereas the corresponding number in Cryptolepis dubia was 1.35 μm. Taxonomic identification keys were constructed separately based on pollen/pollinia characters to identify the Apocynaceous taxa. In the presented study, seven pollen shapes were observed: from oblate to per prolate. The findings confirm that morphopollinic traits differ amongst genera of Apocynaceous species. However, these features can be used to distinguish the Apocynaceous taxa. The results show that structural characteristics of pollen and pollinia can help accurately identify Apocynaceous species.

Ibn Tofail University of Kenitra, Morocco, is committed to a national policy of control and mobilization of water resources and the adoption of a planning approach and integrated water management. Within this framework, the university, which contains 40,000 students, produces a quantity of wastewater of 200 m3 per day. After treatment, the water is used for watering the university’s green space. The treatment process chosen is a membrane bioreactor (MBR), which is considered to be energy intensive. Therefore, the production of energy for the station will be made by renewable energy wind and photovoltaic (PV). The dimensioning of the MBR was made by a research department, which estimated that the energy necessary for the station is 1061.76 kW h/day. The aim of this work is to dimension and optimize the platform for the production of energy, using the Matlab program for the wind turbine and the PVsyst program for PV. The results of coupling our plant with an on-grid PV system and wind turbine show that it was able to reach an electrical coverage of about 72% of the wastewater treatment (WWT) plant’s energy needs. Thus, an estimated reduction of electricity of 0.53 euro on each m3 of water produced by the WWT plant and thus 106.76 euro on the 200 m3 produced daily by the station.

A mathematical model is envisaged that discusses the motion of 3D nanofluids (NFs) with anisotropic slip influence magnetic field past a stretching sheet. The heat transportation phenomenon is analysed by melting effect, heat generation, and chemical reaction. The main motivation of this study is to analyse the behaviour of liquid motion and heat transfer (HT) of NFs because this study has huge applications in boiling, solar energy, and micropower generation, which are used in the engineering process. The physical governing partial differential equation is transformed into a coupled non-linear system of ordinary differential equations using suitable appropriate transformations. The translated equations are calculated using Runge–Kutta–Fehlberg method via shooting procedure. The physical characteristics of various parameters on velocities, concentration, and thermal fields are explored in detail. The HT is high in NFs when compared to pure or regular liquids for ascending values of heat source parameter and slip factor. Also, the skin friction coefficients via coordinate axes and rate of Nusselt number were analysed.

In the rapidly evolving landscape of agricultural technology, image processing has emerged as a powerful tool for addressing critical agricultural challenges, with a particular focus on the identification and management of crop diseases. This study is motivated by the imperative need to enhance agricultural sustainability and productivity through precise plant health monitoring. Our primary objective is to propose an innovative approach combining support vector machine (SVM) with advanced image processing techniques to achieve precise detection and classification of fig leaf diseases. Our methodology encompasses a step-by-step process, beginning with the acquisition of digital color images of diseased leaves, followed by denoising using the mean function and enhancement through Contrast-limited adaptive histogram equalization. The subsequent stages involve segmentation through the Fuzzy C Means algorithm, feature extraction via Principal Component Analysis, and disease classification, employing Particle Swarm Optimization (PSO) in conjunction with SVM, Backpropagation Neural Network, and Random Forest algorithms. The results of our study showcase the exceptional performance of the PSO SVM algorithm in accurately classifying and detecting fig leaf disease, demonstrating its potential for practical implementation in agriculture. This innovative approach not only underscores the significance of advanced image processing techniques but also highlights their substantial contributions to sustainable agriculture and plant disease mitigation. In conclusion, the integration of image processing and SVM-based classification offers a promising avenue for advancing crop disease management, ultimately bolstering agricultural productivity and global food security.

Artificial intelligence (AI)-based diagnostic systems provide less error-prone and safer support to clinicians, enhancing the medical decision-making process. This study presents a smart and reliable healthcare framework for detecting Alzheimer's disease (AD) progression. Early detection of AD before the onset of clinical symptoms is the most crucial step in starting timely treatment. To predict the conversion of cognitively normal patients to those with AD, three-dimensional 3D magnetic resonance imaging (MRI) whole-brain neuroimaging methods have been extensively studied. However, depending on the 3D volume, this method is computationally expensive. To solve this problem, we used an approximate rank pooling method originally designed for video action recognition with a 3D MRI volume to obtain a compressed representation of multiple two-dimensional (2D) MRI slices. This study proposes a hybrid multimodal CNN-BiLSTM deep model for AD progression detection, in which the resulting dynamic 2D images are fused with cognitive features. Moreover, a novel explainable AI approach is proposed to provide visual explanations using the resulting longitudinal 2D dynamic images. Temporal explanations were provided by visualizing the affected brain regions captured using longitudinal 2D MRIs. By utilizing a sample of 1,692 subjects with multimodal data from the Alzheimer’s Disease Neuroimaging Initiative dataset, our method was assessed using a 10-fold cross-validation process. The model achieved an area under the receiver operating characteristics curve (AUC) of 94% using longitudinal 2D three-time-step dynamic image data. The fusion of 2D dynamic images with cognitive features enhanced the performance by 2% in terms of the AUC. Patients who gradually develop AD, show changes in various brain regions. For such patients, our system highlights the critical role of the hippocampus, medial amygdala, caudal hippocampus, and lateral amygdala at the initial time steps. In the late stages of AD, the system detects abnormalities in extra brain regions such as the medial temporal gyrus, superior temporal gyrus, fusiform gyrus, and caudal hippocampus; indicating that patients have completely progressed to AD.

This article presents the mathematical formulation for the monkeypox infection using the Mittag–Leffler kernel. A detailed mathematical formulation of the fractional-order Atangana-Baleanu derivative is given. The existence and uniqueness results of the fractional-order system is established. The local asymptotical stability for the disease-free case, when ℛ01{{\mathcal{ {\mathcal R} }}}_{0}\gt 1. The backward bifurcation analysis for fractional system is shown. The authors give a numerical scheme, solve the model, and present the results graphically. Some graphical results are shown for disease curtailing in the USA.

Background: Common mental disorders (CMD) are a group of distress states manifesting with anxiety, depressive, and unexplained somatic symptoms and are the contemporary equivalent to the older concept of neurotic disorders. Various prevalence studies have shown that elderly population are more vulnerable to such mental health disorders as compared to the younger population. The available literature indicates that there is hardly any effort to understand the morbidity and the needs of such elderly people. Objective: i. To estimate the burden of common mental disorders among tribal and rural elderly population using GHQ -12. ii. To estimate the association between common mental disorders and sociodemographic factors. Methodology: This is a community based cross sectional study. It was among the tribal and rural elderly population of Mysore district from June to September 2023 using General Health Questionnairre-12(GHQ-12). The 12-Item General Health Questionnaire (GHQ-12) is the most extensively used screening instrument for common mental disorders. The GHQ-12 has generally demonstrated good sensitivity and specificity in various populations. The sampling method adopted for this study was multistage sampling and in the final stage participants were selected using simple random sampling Results: The prevalence of common mental disorders was 35% among rural elderly population and 43% among tribal elderly population. The prevalence of common mental disorders was found to be high among women in both rural and tribal elderly population and the difference was found to be statistically significant Conclusion: There are limitations in the study as cross-sectional type of study design was used. Further, analytical studies can be conducted to prove the causative association between common mental disorders and various socio- cultural factor. However, the findings of the study can be used to plan the necessary interventions in the field of elderly mental health

Background: Nutrition plays equal role as physical activity in maintaining good health and improving fitness. According to FDA, Dietary supplements are products intended to supplement the diet. They are not medicining and are not intended to treat, diagnose, mitigate, prevent, or cure diseases. Adolescents may be vulnerable to misleading nutritional information and adopt unhealthy food habits. Food habits of the youth could be influenced by specific features related to physical training, either aimed to improve fitness or to comply with sport demands. Use of protein supplementation without professional guidance can cause adverse effects on kidney and liver functions. Objectives: 1) To assess knowledge about dietary supplements among gym going medical students. 2) To assess the attitude and practices about dietary supplements among gym going medical students. Methodology: A cross-sectional study was conducted among 150 gym going medical students of Mysore Medical College and Research Institute from October to November 2023 using a predesigned and pretested semi-structured questionnaire. Subjects were selected using convenient sampling method. Data was entered in Microsoft Excel and was analyzed using SPSS trial version 29. Results: The study included 150 participants who completed the questionnaire. More than 70% of the participants were males and around 30 % of the study population used at least 1 dietary supplement. More than 95% of them knew about the dietary supplements. Most commonly used dietary supplements were whey protein and creatine powder. Only 10% of participants consuming dietary supplements have taken a dietician’s or expert’s opinion. Conclusion: The study showed that significant number of participants were using dietary supplements. But majority does not take an expert’s opinion before consuming dietary supplements. Both users and non-users of dietary supplements would benefit from improved understanding of the health effects of dietary supplements through health education.

Background: Health and wellness canters component were launched under the ambit of Ayushman Bharat Yojana. In Kashmir, there was scarce data regarding health and wellness centers implementation therefore this study was undertaken to identify the gaps in implementation of the program at grassroot levels. Objective: to assess and compare the existing staff, services, lab services and infrastructure at health and wellness centers across ten districts of Kashmir valley. Methodology: a descriptive cross-sectional study was done to evaluate the implementation of health and wellness centers in ten districts of Kashmir valley. study population: staff at health and wellness centers study setting: selected health and wellness centers in 10 districts of Kashmir valley sampling: convenient sampling and random sampling 10 % of upgraded health and wellness center in each district at the beginning and 12 months of study. study timeline: 15months data collection 12 months interpretation 3 months study tools: preformed checklist, semi open questionnaires interviews Results: the results of the study indicated that there was still a gap in implementation of program as per guidelines. there were deficiencies in terms of yoga and wellness, proper space for health and wellness centers and staff was not trained properly about the program. Conclusion: this study was done in Kashmir valley to asess the implementation of health and wellness center component of Ayushman Bharat yojana. the study highlighted important deficiencies during the implementation of the program as per guidelines.

The recognition of different activities in sports has gained attention in recent years for its applications in various athletic events, including soccer and cricket. Cricket, in particular, presents a challenging task for automatic activity recognition methods due to its closely overlapped activities such as cover drive, and pull short, to name a few. Existing methods often rely on hand-crafted features as the limited availability of public data has restricted the scope of research to only the significant categories of cricket activities. To this end, we proposed a cricket activities dataset and an intuitive end-to-end deep learning model for cricket activity recognition. The data is collected from online sources and pre-processed through cleaning, resizing, and organizing. Similarly, an intuitive deep model is designed with a combination of time-distributed 2D CNN layers and LSTM cells for extracting and learning the spatiotemporal information from the input sequences. For benchmarking, we evaluated the model on our cricket datasets and four standard datasets namely UCF101, HMDB51, YouTube action, and Kinetics. The quantitative results show that the proposed model outperforms different variants of recurrent neural networks and achieved an accuracy of 92%, recall of 91%, and F1 score of 91%. Our code and dataset is publicly available for further research on https://drive.google.com/file/d/1c9qcAz4q00qvx4yFA3pSudWFczm1cWUL/view?usp=sharing.

The identification of novel anti-infective agents of synthetic and natural origin represents one of the main aims of contemporary drug discovery. In the current work, four different varieties of Nicotiana tabacum, namely, K399, SPG28, Swat No. 1, and Swat No. 2, were studied to assess the antibacterial and antifungal properties of their extracts. The extracts contain anthraquinones, alkaloids, saponins, terpenoids, tannins, resins, steroids, proteins, and carbohydrates, and the antibacterial and antifungal activities were evaluated toward four bacterial and four fungal strains. N. tabacum K399 showed the highest zone of inhibition against E. coli. Similarly, K399 showed the highest antifungal potential, as the highest zone of inhibition for the set was detected against C. albicans. Then, the underlying molecular mechanism was further investigated, and the extracts were tested for their inhibitory potential against urease, an enzyme which is conserved in bacteria and fungi. Additionally, computational tools were enrolled to assess the role of rutin and chlorogenic acid, which are among the main constituents of N. tabacum leaves, in interacting with urease through molecular docking. Combined together, the computational and experimental results support the antibacterial and antifungal potential of N. tabacum extracts, particularly, that obtained from K399 variety.

Objective: To determine the effects of Tranexamic acid on intraoperative blood loss. Study Design: Quasi-experimental study. Place and Duration of Study: Combined Military Hospital, Rawalpindi Pakistan, from Jun to Oct 2021. Methodology: A total of 96 patients from both genders undergoing elective open abdominal aortic aneurysm surgery under general anaesthesia enrolled in the study after random distribution to Drug and Control Groups. The primary determinant was intraoperative blood loss. Additionally, determining variables were intraoperative and postoperative blood transfusions, thromboembolic episodes, and postoperative mortality rate. Results: A total of 96 patients enrolled in the study, out of which 90(93%) were males, whereas 6(7%) were females, with a mean age of 65.37±7.01 (55–75 years). Of 96 participants, 52(54%) patients were from ASA Class II and 44(46%) were from ASA Class III. There was no significant correlation between surgical time (p-value 0.45), clamping time (p-value 0.34), and intraoperative and postoperative transfusions (p-value 0.56 and 0.28, respectively). However, a statistically significant reduction in intraoperative and postoperative blood loss was recorded (p-value

The Dolichol kinase (DOLK) gene encodes the polytopic DOLK protein associated with the endoplasmic reticulum (ER) N-glycosylation pathway catalyzing the final step in the biosynthesis of dolichol phosphate. Dolichol phosphate is an oligosaccharide carrier required for N-glycosylation of DOLK protein, with its deficiency leading to a severe hypo glycosylation phenotype in humans which can cause congenital disorders of glycosylation and death in early infancy. The aim of the present study is to identify the phylogenetic relationship between human and ortholog species based on their conserved sequences in DOLK gene. Sequence alignment of DOLK was carried out in this study and the evolutionarily conserved regulatory sequences were identified using bioinformatics. Promoter sequence of human DOLK was compared with orthologous sequences from different organisms. Conserved non-coding sequences (CNS) and motifs in promoter regions were found by analyzing upstream promoter sequences of Homo sapiens DOLK and its orthologous genes in other organisms. Conserved sequences were predicted in the promoter regions in CNS1 and CNS2. Conserved protein sequences were also identified by alignment of the orthologous sequences. Organisms with similar gene sequences are assumed to be closely related and the ER N-glycosylation pathway is conserved in them.

The Hermite-Hadamard inequality is regarded as one of the most favorable inequalities from the research point of view. Currently, mathematicians are working on extending, improving, and generalizing this inequality. This article presents conticrete inequalities of the Hermite-Hadamard-Jensen-Mercer type in weighted and unweighted forms by using the idea of majorization and convexity together with generalized conformable fractional integral operators. They not only represent continuous and discrete inequalities in compact form but also produce generalized inequalities connecting various fractional operators such as Hadamard, Katugampola, Riemann-Liouville, conformable, and Rieman integrals into one single form. Also, two new integral identities have been investigated pertaining a differentiable function and three tuples. By using these identities and assuming ∣f′∣| f^{\prime} | and ∣f′∣q(q>1)| f^{\prime} {| }^{q}\hspace{0.33em}\left(q\gt 1) as convex, we deduce bounds concerning the discrepancy of the terms of the main inequalities.

Environmental remediation of toxic organic pollutants on catalytic degradation has gained much attention. Organic dyes and fossil fuels as pollutants are the two major problems nowadays. The efficient and targeted eradication of organic dye from water systems is a critical global concern for the treatment of both drinking water and wastewater. In this study, ZnO–ZnS–CdO–CdS quaternary core–shell nanocomposites (NCs) were synthesized using Ricinus communis as a stabilizing agent and hydrazine hydrate as a reducing agent. UV-visible spectroscopy and photoluminescence confirmed the formation of NCs. Fourier transform infrared spectroscopy confirmed the presence of functional groups, while scanning electron microscopy analysis revealed that the morphology of nanomaterials was spherical and poly distributed. X-ray powder diffraction confirmed the crystalline nature of prepared samples. The prepared nanocatalysts were used in the production of hydrogen gas from green sources of the Brassica campestris leaf extract and the degradation of Congo red and methyl red dyes. Overall, the photocatalytic performance of NCs and their design was successful. The prepared catalysts were not only active in the degradation of a single substrate but also in the degradation of a mixture of dyes.

Numerous flow and heat transfer studies have relied on the construction of similarity transformations which map the nonlinear partial differential equations (PDEs) describing the flow and heat transfer, to ordinary differential equations (ODEs). For these reduced equations, one finds multiple analytic and approximate solution procedures as compared to the flow PDEs. Here, we aim at constructing multiple classes of similarity transformations that are different from those already existing in the literature. We adopt the Lie symmetry method to derive these new similarity transformations which reveal new classes of ODEs corresponding to flow equations when applied to them. With these multiple classes of similarity transformations, one finds multiple reductions in the flow PDEs to ODEs. On solving these ODEs analytically or numerically, we obtain different kinds of flow and heat transfer patterns that help in determining optimized solutions in accordance with the physical requirements of a problem. For the said purpose, we derive Lie point symmetries for the magnetohydrodynamic Casson fluid flow and heat transfer in a thin film on an unsteady stretching sheet with viscous dissipation. Linear combinations of these Lie symmetries that are again the Lie symmetries of the flow model are employed here to construct new similarity transformations. We derive multiple Lie similarity transformations through the proposed procedure which lead us to more than one class of reduced ODEs obtained by applying the deduced transformations. We analyze the flow and heat transfer by deriving analytic solutions for the obtained classes of systems of ODEs using the homotopy analysis method. Magnetic parameters and viscous dissipation influences on the flow and heat transports are investigated and presented in graphical and tabulated formats.

Facial expression recognition (FER) is an emerging and multifaceted research topic. Applications of FER in healthcare, security, safe driving, and so forth have contributed to the credibility of these methods and their adoption in human-computer interaction for intelligent outcomes. Computational FER mimics human facial expression coding skills and conveys important cues that complement speech to assist listeners. Similarly, FER methods based on deep learning and artificial intelligence (AI) techniques have been developed with edge modules to ensure efficiency and real-time processing. To this end, numerous studies have explored different aspects of FER. Surveys of FER have focused on the literature on hand-crafted techniques, with a focus on general methods for local servers but largely neglecting edge vision-inspired deep learning and AI-based FER technologies. To consider these missing aspects, in this study, the existing literature on FER is thoroughly analyzed and surveyed, and the working flow of FER methods, their integral and intermediate steps, and pattern structures are highlighted. Further, the limitations in existing FER surveys are discussed. Next, FER datasets are investigated in depth, and the associated challenges and problems are discussed. In contrast to existing surveys, FER methods are considered for edge vision (on e.g., smartphone or Raspberry Pi, devices, etc.), and different measures to evaluate the performance of FER methods are comprehensively discussed. Finally, recommendations and some avenues for future research are suggested to facilitate further development and implementation of FER technologies.