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Political and religious texts have been widely acknowledged to be distinct registers. The major objective of this study is to investigate the co-occurrence of two types of passive: the Agentless passives(PASS) and the By-passives (BYPA)proposed by Biber (1988) in Pakistani writing concerning variation among the political and religious disciplines. This research has explored and compared the frequencies and patterns of usage of passive structure with promotional varieties studied by Biber (1988) through a multidimensional analysis. The corpus of the research includes 60 texts chosen from Pakistani Register of Policy Documents and Religious Essays. Online sources have been used to retrieve the distribution of 30 texts from each discipline. The frequencies of the passive constructions are counted through AntConc 4.2.4 software after tagging the data in Multidimensional Analysis Tagger (MAT) 2.4. The findings indicated that the structure of agentless passive has occurred significantly more frequently than by-passives in political registers. Moreover, this study confirmed that native English writers have a more lexical variation of agentless passives than by-passives structure in non-native writing. Though limited, the study contributes to clarifying the function of agentless and by-passives across the two registers. This work may be significant for non-native writers and researchers working on disciplinary writing.

Abstract Background Oral bacterial infections are difficult to treat due to emergence of resistance against antibiotic therapy. Essential oils are considered emerging alternate therapy against bacterial infections and biofilms. We investigated Citrus bergemia flower essential oil against oral pathogens. Methods The essential oil was analsyed using Gas Chromatography(GC–MS), in silico investigations, antioxidant, antimicrobial, antibiofilm and antiquorum sensing assays. Results Gas Chromatography analysis confirmed presence of 17 compounds including 1,6-Octadien-3-ol,3,7-dimethyl, 48.17%), l-limonene (22.03%) and p-menth-1-ol, 8-ol (7.31%) as major components. In silico analysis showed compliance of all tested major components with Lipinski’s rule, Bioavailability and antimicrobial activity using PASS (prediction of activity spectrum of substances). Molecular docking with transcriptional regulators 3QP5, 5OE3, 4B2O and 3Q3D revealed strong interaction of all tested compounds except 1,6-Octadien-3-ol,3,7-dimethyl. All tested compounds presented significant inhibition of DPPH (2,2-diphenyl-1-picrylhydrazyl) (IC50 0.65 mg/mL), H2O2 (hydrogen peroxide) (63.5%) and high FRAP (ferrous reducing antioxidant power) value (239.01 µg). In antimicrobial screening a significant activity (MIC 0.125 mg/mL) against Bacillus paramycoides and Bacillus chungangensis was observed. Likewise a strong antibiofilm (52.1 – 69.5%) and anti-QS (quorum sensing) (4–16 mm) activity was recorded in a dose dependent manner. Conclusion It was therefore concluded that C. bergemia essential oil posess strong antioxidant, antimicrobial and antibiofilm activities against tested oral pathogens.

Rheumatoid arthritis (RA) is an inflammation associated autoimmune disorder that is prevalent worldwide. Occurrence of severe side effects with current therapeutic regimens is major concern these days. We investigated Myristica fragrans mace and seed for management of inflammation and RA. Oils were extracted and analyzed using ATR-FTIR conforming occurrence of the aromatic amine, phenolic, and carboxylic acid groups mostly found in terpenoids. Most of tested compounds exhibited compliance with drug likeness, bioavailability and ADMET set parameters of safety. Molecular docking analysis showed interaction (-0.6 ΔG (kJ mol-1) of Myristicin with 4F5S. A significant antioxidant activity with DPPH, H2O2 and FRAP assays was observed in case of essential oil. Essential oil part also presented a significant protective effect during heat induced hemolysis (66 ± 1.0 %), BSA denaturation assay (61 ± 1.4 %) and higher levels of proteinase inhibition (70 ± 1.4 %). Acute antiflammatory model in rat presented a significant decrease in inflammation with essential oil. It was concluded that Myrictica fragrans essential oil possess significant (p

Damage to body tissue either deeply or superficially causes pain sensation in response to which Inflammation occurs which is a normal protective natural response of the body to a variety of hostile agents. Different treatment options, including conventional and herbal therapies, are available for pain and inflammation. This study was designed to evaluate the polyherbal n-hexane and methanolic extracts and their hydrogel formulations prepared from commonly available medicinal plants for their analgesic and anti-inflammatory potential. Cinnamomum verum J. (bark), Moringa oleifera L. (leaves), Nigella sativa L. (seed), and Trigonella foenum graecum L. (seed) were collected and purchased from the vicinity and local market of Multan Punjab, Pakistan. After drying, extraction was carried out by maceration separately with two different solvents (methanol and n-hexane). An equal quantity of all methanolic and n-hexane extracts was used to formulate polyherbal methanolic and n-hexane extracts separately. Then 1%, 3%, and 5% pH-based hydrogel formulations of methanolic and n-hexane polyherbal extract were prepared. All prepared six formulations were evaluated for pH, rheological study, spreadability, extrudability, stability study, texture, color, and for toxicological study. Then analgesic and anti-inflammatory potential of methanol and n-Hexane polyherbal extracts at (200, 400 and 800.0 mg/kg) in comparison with diclofenac sodium (100 mg/kg) and prepared gel formulations (1%, 3%, and 5%) were also evaluated in comparison to diclofenac sodium 1% gel (standard drug). Both polyherbal extracts and their gel formulations have significant analgesic and anti-inflammatory potential but methanolic extract and its hydrogel have slightly more potential as compared to n-hexane extracts and its prepared hydrogel. Results also revealed that their gel formulations have more significant analgesic and anti-inflammatory potentials as compared to extracts. All pH-based gels have good texture, spreadability, extrudability, stability, and are safe to use. It is concluded that methanolic polyherbal extract and hydrogel prepared from methanolic extract have more analgesic and anti-inflammatory potential as compare to n-Hexane extract and hydrogel prepare from n-Hexane extract.

With the exponential growth of Internet of Things (IoT) devices, IoT has become a transformative technology with applications spanning various domains. It encompasses a wide range of public and industrial vertical services that come with diverse and stringent Quality of Service (QoS) requirements. Traditional networks often struggle to meet the demands of these diverse IoT services. As a result, the introduction of 5G and Beyond 5G (B5G) networks holds promise in accommodating these diverse IoT services through network slicing technology. Network slicing involves partitioning a single physical network infrastructure into multiple logically isolated networks and ensures dedicated resources to each service as per QoS requirements. Additionally, Multi-Access Edge Computing (MEC) in B5G networks presents an innovative solution to facilitate low-latency communication for IoT services. However, the automatic provisioning and management of end-to-end (e2e) network slicing for IoT services across multi-domain infrastructures pose significant challenges, including manual error-prone resource configuration, network slice template preparation, and human intervention. This paper proposes an automated Artificial Intelligence (AI) and MEC-enabled solution for provisioning and managing network slice resources across multiple domains specifically tailored for IoT services. Our solution provides an abstraction layer that generates slice templates for each domain and automates the deployment of resources based on the specified QoS requirements. It automates the slice resource configuration process, reduces human intervention, and manages the complete lifecycle of IoT slices. We have conducted several tests with our system, creating multiple IoT slices, and have observed stable performance in slice design, resource provisioning, slice isolation, and management.

Making nanoscale drug carriers could boost the bioavailability of medications that are slightly water soluble. One of the most promising approaches for enhancing the chemical stability and bioavailability of a variety of therapeutic medicines is liquid nanocrystal technology. This study aimed to prepare nanocrystals of mangiferin for sustained drug delivery and enhance the pharmacokinetic profile of the drug. The fractional factorial design (FFD) was used via a selection of independent and dependent variables. The selected factors were the concentration of mangiferin (A), hydroxypropyl methyl cellulose (HPMC) (B), pluronic acid (C), tween 80 (D), and the ratio of antisolvent to solvent (E). The selected responses were the particle size, polydispersity index (PDI), zeta potential, and entrapment efficiency. The nanocrystals were further evaluated for mangiferin release, release kinetics, Fourier transforms infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), X-ray diffraction (XRD), particle size, zeta potential, and scanning electron microscopy (SEM). The stability studies of developed nanocrystals were performed for 6 months and pharmacokinetics on albino rabbits. The value of entrapment efficiencies ranged from 23.98% to 86.23%. The percentage release of mangiferin varied from 62.45 to 99.02%. FTIR and DSC studies showed the stability of mangiferin in the nanocrystals. The particle size of the optimized formulation was almost 100 nm and −12 mV the value of the zeta potential. The results of stability studies showed that the nanocrystals of mangiferin were stable for a period of six months. The peak plasma concentration of mangiferin from nanocrystals and suspension of mangiferin were 412 and 367 ng/mL, respectively. The value of AUC0−t of nanocrystals and suspension of mangiferin was 23,567.45 ± 10.876 and 18,976.12 ± 9.765 µg×h/mL, respectively, indicating that the nanocrystals of mangiferin showed greater availability of mangiferin compared to the suspension of the formulation. The developed nanocrystals showed a good release pattern of mangiferin, better stability studies, and enhanced the pharmacokinetics of the drug.

Despite several novel and innovative approaches, clinical translation of oral insulin delivery into commercially viable treatment is still challenging due to its poor absorption and rapid degradation in GIT. Thus, an insulin-SDS hydrophobic ion pair loaded self-microemulsifying drug delivery system (SMEDDS) was formulated to exploit the hypoglycemic effects of orally delivered insulin. Insulin was initially hydrophobically ion paired with sodium dodecyl sulphate (SDS) to enhance its lipophilicity. The successful complexation of Insulin-SDS was confirmed by FTIR and surface morphology was evaluated using SEM. Stability of insulin after its release from HIP complex was evaluated using SDS PAGE. Subsequently, Ins-SDS loaded SMEDDS was optimized using two factorial designs. In vitro stability of insulin entrapped in optimized SMEDDS against proteolytic degradation was also assessed. Further, antidiabetic activity of optimized Ins-SDS loaded SMEDDS was evaluated in diabetic rats. Insulin complexed with SDS at 6:1 (SDS/insulin) molar ratio with almost five-fold increased lipophilicity. The SMEDDS was optimized at 10% Labraphil M2125 CS, 70% Cremophore EL, and 20% Transcutol HP with better proteolytic stability and oral antidiabetic activity. An Ins-SDS loaded SMEDDS was successfully optimized. Compared with insulin and Ins-SDS complex, the optimized SMEDDS displayed considerable resistance to GI enzymes. Thus, the SMEDDS showed potential for effective delivery of macromolecular drugs with improved oral bioavailability.

Synthesis of nanoparticles by green synthesis has a large number of biomedical applications worldwide. In this study, Selenium Nanoparticles (SeNPs) were synthesized by using sodium salt of selenium and Solanum lycopersicum (tomato) fruit juice and seeds extract. The plant extracts were used as a reducing agent in ratio 1:4 i.e. sodium selenite salt (Na2SeO3). SeNPs were characterized by UV–visible spectrophotometry, FTIR and Zeta Sizer analysis. The UV-graphs indicated the highest peak of absorbance at 350 nm. Whereas, FTIR analysis of SeNPs indicated absorbance bands at 3262.35–1633.72 cm−1. Zeta sizer analysis showed the average size of SeNPs for Fruit juice extract as 1020 d.nm. with PDI 0.432. In case of seeds extract, average size was 1155 d.nm. with PDI 0.761; and the PDI value for both extracts showed polyderse nature of these NPs. SeNPs possessed significant antimicrobial activity against selected strains of E. coli, S. aureus, M. luteus, S. enterica, B. subtilis, K. pneumoniae and P. aureginosa. The α-amylase inhibitory assay of these SeNPs indicated that they had antidiabetic role with IC50 value 24.4642 µg/mL. The DPPH assay showed that SeNPs of Solanum lycopersicum have antioxidant activity with IC50 value of 20.7398 µg/mL.

Network slicing in 5G is a solution to accommodate a wide range of services. It also enables the network operators to establish multiple end-to-end (e2e) logically isolated and customized networks with shared or dedicated resources over the same infrastructure. Although, many tools and platforms have been developed to accomplish the management and orchestration (MANO) of e2e network slicing automatically, it is still challenging. Each of these platforms requires expertise and manual effort to define the requirements for the provisioning of the resources. The other issue is the generation of well-defined network slice configurations with lifecycle parameters. To this end, this paper proposes an efficient solution that automates the configuration process and performs the management and orchestration of network slices. This solution contains a one-touch Intent-based Networking (IBN) platform that effectively orchestrates and manages the lifecycle of multi-domain slice resources. IBN automates the process of slice configuration generation, service provisioning, service update, and service assurance by eliminating experts and manual effort. Furthermore, it has an intelligent Deep Learning (DL) based resource update and assurance mechanism which handles the run-time resource scalability and assurance.

Under the China–Pakistan Economic Corridor, renewable energy projects gradually receive due attention, among which the photovoltaic power stations in Quaid-e-Azam Solar Park represents the most typical power stations in Pakistan. The construction and development processes of the photovoltaic power stations are divided into three stages, with enterprises involved including TBEA Xinjiang Sunoasis Co., Ltd., Urumqi, China and Zonergy Solar Technology Co., Ltd., Zigong, China. The development model of the photovoltaic power stations changed from engineering, procurement, and construction (EPC) plus operation and maintenance (O&M) mode to the Build–Own–Operate (BOO) mode. Through solar power generation and marginal emission factors of photovoltaic power stations, the cumulative electricity generation during the operation period can reach nearly 40.09 billion kWh, and the cumulative emission reduction potential of photovoltaic power stations can reach 23.82 Mt CO2-eq. Based on the multi-stage construction of photovoltaic power stations in the solar park, the land, infrastructure, and transmission facilities could be arranged to simplify the procedures and attract overseas investment. The construction and development model of Quaid-e-Azam Solar Park could provide a reference for the promotion of low-carbon transition, the adjustment of traditional energy structures, the fulfillment of carbon reduction commitments, and the mitigation of climate change, which could provide policy implications for renewable energy development and low-carbon transition in Pakistan.

Image segmentation is widely used in the field of agriculture to improve the yields and protecting them from pests, herbs, shrubs, and weeds. Precision agriculture is also contributing to the inter and intra crop monitoring. Recently, unmanned aerial vehicles are used widely for acquiring images. In this paper, we purpose Clifford geometric algebra to enhance the segmented images acquired from the UAVs of different agricultural fields. The Clifford geometric algebra is also sometimes used as a collective term for the diverse range of mathematical fields, both classical and modern algebraic mathematics. Previous image segmentation approaches depend upon the intensity of red, green, and blue colors; but the complete perspective could not be obtained from these approaches. Geometric algebra overcomes this limitation and leads to a genuine color space image processing. It is mainly used in the processing of medical images. Subalgebra of the Clifford algebra is Quaternions. We have used this approach in agricultural images. The image segmentation of foreground and background is enhanced using Clifford geometric algebra; hence, the results obtained are fine-tuned segmented images. The anticipated result of our research would have a positive impact on the amelioration of the condition of the farmers and their livelihood.

Malva parviflora L., Little mallow, has been traditionally used as an alternative food source. It acts as a medicinal herb containing a potential source of mucilage thus herein; we aimed to assess the toxicity, anti-inflammatory, antitussive and gastro-protective actions of M. parviflora mucilage extracted from its leaves (MLM) and fruit (MFM). Toxicity studies were investigated by in vitro hemolytic assay whereas acute anti-inflammatory and antitussive activities were assessed by carrageenan-induced paw edema and sulphur dioxide induced cough model in rats, respectively. Gastro-protective effects were studied using ethanol induced acute and chronic gastric ulcer rat models. Their metabolic profiles were determined using gas chromatography. The results revealed that MLM and MFM were non-toxic towards human erythrocytes and their lethal doses were found to be greater than 5 g/kg. Pretreatment with MLM (500 mg/kg) and MFM (500 mg/kg) significantly reduced the carrageenan-induced paw thickness (p < 0.001). Maximum edema inhibition (%) was observed at 4 h in diclofenac sodium (39.31%) followed by MLM (27.35%) and MFM (15.68%). Animals pretreated with MLM (500 mg/kg) significantly lower the cough frequency in SO2 gas induced cough models in contrast to control. Moreover, MLM at doses of 250 and 500 mg/kg reduced the ethanol induced gastric mucosal injuries in acute gastric ulcer models presenting ulcer inhibition of 23.04 and 38.74%, respectively. The chronic gastric ulcer model MFM (500 mg/kg) demonstrated a remarkable gastro-protective effect showing 63.52% ulcer inhibition and results were closely related to standard drug sucralfate. In both models, MLM and MFM decreased gastric juice volume and total acidity in addition to an increased gastric juice pH and gastric mucous content justifying an anti-secretary role of this mucilage that was further confirmed by histopathological examination. Meanwhile, GC analyses of the mucilage revealed their richness with natural as well as acidic monosaccharides. It is concluded that MLM and MFM can be used therapeutically for the management of inflammation, cough and gastric ulcer.

Jasminum sambac (L.) is a South Asian folkloric medicinal plant that has traditionally been used to treat cardiovascular problems. The current investigation was meticulously organized to explore the pharmacological foundation for the medicinal uses of J. sambac pertaining to cardiovascular ailments and to investigate the core mechanisms. Mechanistic investigation revealed that crude leaf extract of J. sambac produced ex-vivo vasorelaxant effects in endotheliumintact aorta ring preparation and hypotensive effect was recorded via pressure and force transducers coupled to the Power Lab Data Acquisition System. Moreover; J. sambac showed cardioprotective effects against adrenaline -induced left ventricular hypertrophy in rabbits observed hemodynamic. CK-MB, LDH, troponin, CRP, ALT, AST, ALP levels were shown to be lower in the myocardial infarction model, as were necrosis, oedema, and inflammatory cell recruitment in comparison to control. J. sambac has shown good antioxidant potential as well as prolonged the noradrenaline induced platelet adhesion. The vasorelaxant and cardioprotective effects in both in vivo and ex vivo experiments, which are enabled by activation of muscarinic receptor and/or releasing the nitric oxide and by reducing the adrenaline, induced oxidative stress, justifying its usage in cardiovascular disorders.

The objective of the study was to evaluate anti-ulcer potential of Mentha longifolia. The rats (four groups) were given orally the vehicle (normal saline, 2 mL/kg) as control group, ethanol extracts of the plant at dose of 100 mg/kg and 200 mg/kg of body weight and ranitidine (20 mg/kg) as standard drug (positive control). Ulcer was induced by oral administration of alcohol (80%) and aspirin (200 mg/kg). The gastric tissues were examined to determine ulcer index and percentage protection. Histopathological evaluation was also performed to support the results. Ethanol extract of M. longifolia showed reduction in ulcer index (p

Malva parviflora (cheeseweed) is traditionally used as hepatoprotective. The current study was conducted to determine its hepatoprotective activity of aqueous methanolic extract of whole plant. Two doses of plant (250 mg/kg and 500 mg/kg) were administered in paracetamol intoxicated mice and results were compared with silymarin. Observational parameters were ALT, AST, ALP and total bilirubin. The results showed that the extract of M. parviflora produced significant (p