Some distance measures for pythagorean cubic fuzzy sets: Application selection in optimal treatment for depression and anxiety

Pythagorean cubic fuzzy sets represent an advancement beyond conventional interval-valued Pythagorean sets, integrating the principles of Pythagorean fuzzy sets and interval-valued Pythagorean fuzzy sets. Given the critical significance of distance measures in real-world decision-making and pattern recognition tasks, it is noteworthy that there exists a notable gap in the literature regarding distance measures specifically tailored for Pythagorean cubic fuzzy sets. The objectives of this paper are:•To define novel generalized distance measures between Pythagorean cubic fuzzy sets (PCFSs) to tackle intricate decision-making challenges.•These novel distance measures are undergoing testing on a real-world scenario concerning the management of anxiety and depression to evaluate their effectiveness and practical application.•We have illustrated the boundedness and nonlinear characteristics inherent in these distance measures. In addition, we conduct comparative analyses with existing approaches to validate the proposed methodology, thereby providing insights into its advantages and potential applications.

A scale conjugate neural network approach for the fractional schistosomiasis disease system

This study presents the numerical solutions of the fractional schistosomiasis disease model (SDM) using the supervised neural networks (SNNs) and the computational scaled conjugate gradient (SCG), i.e. SNNs-SCG. The fractional derivatives are used for the precise outcomes of the fractional SDM. The preliminary fractional SDM is categorized as: uninfected, infected with schistosomiasis, recovered through infection, expose and susceptible to this virus. The accurateness of the SNNs-SCG is performed to solve three different scenarios based on the fractional SDM with synthetic data obtained with fractional Adams scheme (FAS). The generated data of FAS is used to execute SNNs-SCG scheme with 81% for training samples, 12% for testing and 7% for validation or authorization. The correctness of SNNs-SCG approach is perceived by the comparison with reference FAS results. The performances based on the error histograms (EHs), absolute error, MSE, regression, state transitions (STs) and correlation accomplish the accuracy, competence, and finesse of the SNNs-SCG scheme.

Formulation of Aceclofenac Tablets Using Nanosuspension as Granulating Agent: An Attempt to Enhance Dissolution Rate and Oral Bioavailability [Retraction]

[This retracts the article DOI: 10.2147/IJN.S270746.].

1301 OUTCOMES FROM A PILOT PROJECT OFFERING FRAIL OLDER ADULTS LIVING WITH HIV A VIRTUAL MDT COMPREHENSIVE GERIATRIC ASSESSMENT

Introduction

Advancements in HIV treatment has resulted in an ageing population in people living with HIV (PLWH). Increasing prevalence of frailty in older PLWH has been demonstrated, giving rise to multi-morbidities, polypharmacy and consequently, complex medical and social needs. Approximately 5650 people are living with HIV across Greater Manchester. With increasing patient complexity, a pathway was developed to help provide holistic care and improve quality of life for older adults living with HIV.

Methods

A pilot involving multi-disciplinary professionals from the hospital frailty, HIV and community teams was established. Patients were screened using the Clinical Frailty Scale and patients with a CFS ≥ 4 were referred for completion of a comprehensive geriatric assessment (CGA). Patients would then be discussed at the Frailty MDT meeting, where action plans were devised.

Results

47 patients were assessed between October 2020 to December 2021, with 30 eligible for review in the frailty clinic. Commonly reported issues were mobility n=26 (86.6%), pain n=23 (76.6%), low mood n= 14 (46.6%), memory issues n=3 (43.3%) and falls n=12 (40%). Following MDT recommendations, 8 (26.6%) referrals were completed for social care, 1 (3%) referral for safeguarding and 9 (30%) referrals for active case management community teams for co-ordination of care in the community. Deprescribing recommendations were suggested for 16 (53.3%) patients and new medicine recommendations made for 24 (80%) patients.

Conclusion

A collaborative MDT approach to managing older PLWH can facilitate formulation of action plans to address patients physical, psychological and social needs.

Blockchain knowledge selection under the trapezoidal fermatean fuzzy number

Blockchain knowledge signifies a useful fundamental knowledge to safeguard faith in transboundary transmittals for main banks and financial institutions. In the study of group decision-making, the most important issue is how to coordinate opinions from different blockchains to reach a compromise under uncertainty. To tackle uncertainties surrounding multi-attribute group decision-making (MAGDM) problems in real-life scenes, we introduce a trapezoidal fermatean fuzzy set which generalizes trapezoidal fuzzy sets and fermatean fuzzy sets. The trapezoidal fermatean fuzzy model enables the degrees of membership, abstention, and non-membership to be expressed by linguistic terms. We define the operational laws of trapezoidal fermatean fuzzy numbers, and Einstein aggregation operator based on the trapezoidal fermatean fuzzy number. This makes it more flexible and descriptive to model the attitudes of Blockchain knowledge in MAGDM applications. Since multi-input arguments are interconnected and Blockchain knowledge has a lot of options perception, we also define the TOPSIS technique to facilitate the fusion of trapezoidal fermatean fuzzy information. With the aid of the trapezoidal fermatean fuzzy-TOPSIS technique, the main goal of this research is to present a general MAGDM framework by integrating the step with the complex proportional assessment. A trapezoidal fermatean positive ideal solution always wants the maximum value of the benefit criteria and the minimum value of the cost criteria. On the other hand, the trapezoidal fermatean negative ideal solution always wants the maximum value of the cost criteria and the minimum value of the benefit criteria. An integrated trapezoidal fermatean fuzzy-TOPSIS framework is established. In the proposed decision framework, the trapezoidal fermatean fuzzy-TOPSIS method is utilized to identify the subjective weights of decision attributes, and the trapezoidal fermatean fuzzy-TOPSIS approach is used to rank alternatives. Lastly, a case study concerning blockchain knowledge assessment is presented to demonstrate that the suggested scheme is feasible and effective. Furthermore, sensitivity and comparison analyses are conducted to show the robustness and superiority of the proposed method.

Generalized Cubic Pythagorean Fuzzy Aggregation Operators and their Application to Multi-attribute Decision-Making Problems

Cubic Pythagorean fuzzy (CPF) set (CPFS) is a hybrid set that can hold much more information and can be used to describe both an interval-valued Pythagorean fuzzy set (IVPFS) and Pythagorean fuzzy set (PFS) at the same time to handle data uncertainties. Based on it, the present study is classified into three phases. The first phase is to modify the existing operational laws and aggregation operators (AOs) in the article presented by Abbas et al. (Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 1529–1544, (2019)). The main objective of improved operational laws is to eliminate the flows and ambiguities in existing AOs. Secondly, based on these laws, various AOs to aggregate the information are acquired along with their requisite properties and relations. Lastly, an approach for interpreting the multi-attribute decision-making (MCDM) problem based on the stated operators is given and illustrated with an example. Some of the existing models are used to perform a comprehensive comparative analysis to demonstrate their impacts.

Effects of Se nanoparticles supplementation on growth performance, hematological parameters and nutrient digestibility of Labeo rohita fingerling fed sunflower meal based diet

The aim of the present study is to assess the effects of selenium nanoparticles on the growth, hematology and nutrients digestibility of Labeorohita fingerlings. Fingerlings were fed with seven isocaloric sunflower meal-based diet supplemented with different concentrations of nanoparticles naming T1 to T7 (0, 0.5, 1, 1.5, 2, 2.5, and 3 mg/kg), with 5% wet body weight while chromic oxide was used as an indigestible marker. After experimentation for 90 days T3 treated group (1mg/kg -1Se-nano level) showed the best result in hematological parameters (WBC's 7.97 ×103mm-3, RBC's 2.98 ×106 mm-3 and Platelet count 67), nutrient digestibility (crude protein: 74%, ether extract: 76%, gross energy: 70%) and growth performance (weight gain 13.24 g, weight gain% 198, feed conversion ratio 1.5, survival rate 100%) as compared to the other treatment groups. Specific growth rates were found significantly higher in T5 than in other groups. The present study indicated positive effect of 1 mg/kg Se-nanoparticles on growth advancement, hematological parameters, and nutrients digestibility of L. rohita fingerlings.

Prevalence of parasites in selected captive bird species

Blood and fecal samples of chukar partridge (Alectoris chukar), albino pheasant (Phasianus colchicus), silver pheasant (Lophura nycthemera), rose-ringed parakeet (Psittacula krameri) and turkeys (Meleagris gallopavo) were analyzed to check parasitic prevalence. To record parasites these five avian species were placed kept in separate cages at Avian Conservation and Research Center, Department of Wildlife an Ecology, University of Veterinary and Animal Sciences, Lahore, Pakistan. 100 fecal and 100 blood samples for each bird species were inspected to analyze internal parasites. During present study, 17 species of endoparasites 14 from fecal samples and three from blood were examined. Two species of ectoparasites i.e. mite Dermanyssus gallinae 42% and fowl ticks Args persicus 41%were studied. Blood parasites included Plasmodium juxtanucleare 50%, Leucoctoyzoon simond having parasitic prevalence 40%, and Aegyptinella pullorum having parasitic prevalence of 40%. Parasitic species recorded from fecal samples included 6 species of nematodes viz. Allodpa suctoria 2%. Syngamus trachea with parasitic prevalence of 60%, Capillaria annulata 37.5%, Ascardia galli 24%, Capillaria anatis 40% and Heterakis gallinarum 28.3%. Similarly, two species of trematodes viz. Prosthogonimus ovatus having parasitic prevalence of 50% and Prosthogonimus macrorchis 21% were also documented from fecal avian samples . Single cestode species Raillietina echinobothrida having parasitic prevalence of 72% and 3 protozoan species i.e. Eimeria maxima having parasitic prevalence of 21%, Giardia lamblia 41% and Histomonas meleagridis 18% were documented during corpological analysis. In our recommendation, proper sanitation, medication and vaccination of bird's enclousres are suggested to avoid parasites.

Piroxicam loaded polymer hybrid microspheres based tablets with modified release kinetics: Development, characterization and in vivo evaluation

Piroxicam (PC) is a non-steroidal anti-inflammatory drug characterized by poor aqueous solubility and reported to cause and impart crucial GIT irritation, bleeding, peptic and duodenal ulcer. Engineering of PC loaded microcapsules and its surface modification using different polymers has become the popular approach to address the said issues. The purpose of the study was to develop new PC loaded gastro-protective polymer hybrid microspheres (PHM) with subsequent conversion to tablet dosage form having modified dissolution rate and improved bioavailability. The crystallinity of the PC loaded PHM were established through powder X-ray diffraction. The optimised microspheres, PC-M1 with particle size 32±3.0μm, entrapment efficiency 83.78±2.5% and in vitro drug release 87.1±2.6% were further subjected to tablets development and in vivo evaluation. The in vitro drug release study conducted for PHM at pH media 1.2 and 6.8 demonstrated retarded and enhanced drug release rates (P<0.001) respectively. Both accelerated and real time stability studies confirmed stability of the PC loaded PHM based tablets. A substantial improvement in the drug plasma concentration 12.6±2.36 (P<0.001) was observed for the produced tablets compared to the marketed formulations.

Formulation of Aceclofenac Tablets Using Nanosuspension as Granulating Agent: An Attempt to Enhance Dissolution Rate and Oral Bioavailability

PURPOSE

The aim of the studies was to fabricate aceclofenac (AC) tablets using nanosuspension as granulating fluid to boost its rate of in vitro dissolution and eventually its oral bioavailability.

METHODS

The optimized nanosuspension with particle size of 112±2.01 nm was fabricated using HPMC 1% (w/v), PVP-K30 1% (w/v) and SLS 0.12% (w/v) at 400 watts of ultrasonication energy for 15 min duration and 3 sec pause. Then, the optimized aceclofenac nanosuspension was used as granulating fluid for aceclofenac tablets formulation. The characterization was performed using Malvern zetasizer, SEM, TEM, DSC and P-XRD. The granules were evaluated for the bulk and tapped densities, Hausner's ratio, angle of repose and their resulted values were found within limit. The prepared tablets were tested for average weight, hardness, friability, disintegration, dissolution and in vivo bioavailability in rabbits.

RESULTS

The in vitro dissolution data showed the boosted rate of nanosuspension-based tablets compared to the microsuspension-based tablets. The in vivo bioavailability (in rabbits model) of aceclofenac nanosuspension-based tablets (ACN-1, ACN-2) proved an improved absorption as in comparison to the marketed formulation. The Cmax and AUC0→24 of ACN-1 and ACN-2 were 1.53-fold, 1.48-fold and 2.23-fold, 2.0-fold greater than that of the marketed drug, and were 1.74-fold, 1.68-fold and 2.3-fold, 2.21-fold greater in comparison to raw drug.

CONCLUSION

This boosted in vitro and in vivo bioavailability may be attributed to reduced particle size of aceclofenac nanoformulations used in tablets. Finally, this will result in faster absorption of these fabricated tablets.

Pulmonary artery catheterization in cardiogenic shock: a systematic review and meta-analysis

Background

Cardiogenic shock carries high morbidity and mortality. Pulmonary artery catheterization (PAC) allows invasive hemodynamic assessment and tailored therapy; however, evidence supporting this practice is sparse.

Methods

We performed a systematic review and meta-analysis of observational studies and randomized controlled trials comparing PAC versus no PAC in cardiogenic shock. We searched MEDLINE, EMBASE, Cochrane CENTRAL, and grey literature. We screened references, abstracted data and evaluated risk of bias in duplicate. We pooled data using a random-effects model and evaluated the quality of evidence using GRADE. Outcomes of interest were mortality and length of stay (LOS).

Results

We identified 13 observational studies (1,982,047 patients) and no randomized controlled trials; 12 studies were at high risk of bias. When pooling adjusted results, PAC was associated with reduced mortality at hospital discharge (RR 0.64; 95% CI 0.50–0.82) and at longest available follow-up (RR 0.65; 95% CI 0.49–0.87). Unadjusted LOS was 5.0 days longer (95% CI 4.93–5.07) with PAC. Quality of evidence was very low for all outcomes.

Conclusion

Based on very low quality evidence, PAC use in patients with cardiogenic shock may be associated with lower mortality. The observed increase in hospital LOS may represent survivor bias or relate to more aggressive management with PAC. Overall, these results support consideration of PAC for hemodynamic assessment and tailored therapy in cardiogenic shock.

Funding Acknowledgement

Type of funding source: None

New type of cancer patients based on triangular cubic hesitant fuzzy TOPSIS method

In this paper, we define the new idea of triangular cubic hesitant fuzzy number (TCHFN). We discuss some basic operational laws of triangular cubic hesitant fuzzy number and hamming distance of TCHFNs. We introduce the new concept of triangular cubic hesitant TOPSIS method. Furthermore, we extend the classical cubic hesitant the technique for order of preference by similarity to ideal solution (TOPSIS) method to solve the Multi-Criteria decision-making (MCDM) method based on triangular cubic hesitant TOPSIS method. The new ranking method for TCHFNs is used to rank the alternatives. Finally, an illustrative example is given to verify and demonstrate the practicality and effectiveness of the proposed method.

Power Average Operators of Trapezoidal Cubic Fuzzy Numbers and Application to Multi-attribute Group Decision Making

Trapezoidal cubic fuzzy numbers (TzCFNs) are an extraordinary cubic fuzzy set on a real number set. TzCFNs are useful for dealing with well-known quantities in decision data and decision making problems themselves. This paper is about multi-attribute group decision making problems in which the attribute values are stated with TzCFNs, which are solved by developing a new decision method based on power average operators of TzCFNs. The new operation laws for TzCFNs are given. Hereby, the power average operator of real numbers is extended to four kinds of power average operators of TzCFNs, involving the power average operator of TzCFNs, the weighted power average operator of TzCFNs, the power ordered weighted average operator of TzCFNs, and the power hybrid average operator of TzCFNs. In the proposed group decision method, the individual overall evaluation values of alternatives are generated by using the power average operator of TzCFNs. Applying the hybrid average operator of TzCFNs, the specific general evaluation standards of alternatives are then combined into the collective ones, which are used to rank the alternatives. The example analysis shows the practicality and effectiveness of the proposed method.

Steroidal alkaloids efficient aromatase inhibitors with potential for the treatment of postmenopausal breast cancer

Plant-derived natural products are of great interest due to their diversity in modern drug discovery. Sarcococca saligna has been used for the treatment of different diseases. The present study was aimed at isolating phytochemical constituents including Alkaloid-C (a), Dictyophlebine (b), Sarcovagine-D (c) and Saracodine (d) Holaphylline (e) from Sarcococca saligna to investigate the anticancer effect of these compounds. These compounds were evaluated for inhibition of aromatase enzyme of breast cancer in assistance by molecular docking simulations to understand molecular interaction between the enzyme and ligands. The IC₅₀ values of compound 1 and 5 were found 138.27 ± 0.01 µl and 12.91 ± 0.01 µl, respectively, and both were found active due to their bulky structures in comparison to the active site of aromatase enzyme. The standard drug exemestane showed potent activity in comparison with the test compounds, having IC₅₀ values of 0.052 ± 0.01 µl. Both compounds showed favorable electrostatic interactions with the active site of aromatase enzyme but the shape and steric bulk of the compounds was the limiting factor in their inhibitory effects. New lead compounds could be generated after extensive modifications guided by computational and experimental tools as a possible anticancer agents by targeting aromatase enzyme.

Precursor Selection for Sol–Gel Synthesis of Titanium Carbide Nanopowders by a New Cubic Fuzzy Multi-Attribute Group Decision-Making Model

In this paper, we construct an extended version of the TOPSIS method by using cubic information, and provide a numerical application to verify and demonstrate the practicality of the method. A new extension of the gray relation analysis (GRA) method is introduced by using cubic information. We also propose the cubic fuzzy multi-attribute group decision-making model, and the relation between the cubic TOPSIS method and the cubic gray relation analysis (CGRA) method is introduced. Finally, the proposed method is used for selection in sol–gel synthesis of titanium carbide nanopowders. We analyzed the proposed method by using a numerical application to sol–gel synthesis of titanium carbide nanopowders.

Human Immunodeficiency Virus (HIV) infection model based on triangular neutrosophic cubic hesitant fuzzy number

In this paper, we define the basic concept of triangular neutrosophic cubic hesitant fuzzy number and their properties. We develop a triangular neutrosophic cubic hesitant fuzzy ordered weighted arithmetic averaging (TNCHFOWAA) operator and a triangular neutrosophic cubic hesitant fuzzy ordered weighted geometric averaging (TNCHFOWGA) operator to aggregate triangular neutrosophic cubic hesitant fuzzy number (TNCHFN) information and investigate their properties. Furthermore, a multiple attribute decision-making method based on the TNCHFOWAA operator and triangular neutrosophic cubic hesitant fuzzy ordered weighted geometric (TNCHFOWG) operator and the score function of TNCHFN is established under a TNCHFN environment. Finally, an illustrative example of investment alternatives is given to demonstrate the application and effectiveness of the developed approach.

Fabrication and characterization of glimepiride nanosuspension by ultrasonication-assisted precipitation for improvement of oral bioavailability and in vitro α-glucosidase inhibition

Purpose

We aimed to enhance the solubility, dissolution rate, oral bioavailability, and α-glucosidase inhibition of glimepiride (Glm) by fabricating its nanosuspension using a precipitation-ultrasonication approach.

Methods

Glm nanosuspensions were fabricated using optimized processing conditions. Characterization of Glm was performed using Malvern Zetasizer, scanning electron microscopy, transmission electron microscopy, differential scanning calorimetry, and powder X-ray diffraction. Minimum particle size and polydispersity index (PDI) values were found to be 152.4±2.42 nm and 0.23±0.01, respectively, using hydroxypropyl methylcellulose: 6 cPs, 1% w/v, polyvinylpyrrolidone K30 1% w/v, and sodium lauryl sulfate 0.12% w/v, keeping ultrasonication power input at 400 W, with 15 minutes' processing at 3-second pauses. In vivo oral bioavailability was assessed using rabbits as a model.

Results

The saturation solubility of the Glm nanosuspensions was substantially enhanced 3.14-fold and 5.77-fold compared to unprocessed drug in stabilizer solution and unprocessed active pharmaceutical ingredient. Also, the dissolution rate of the nanosuspensions ws substantially boosted when compared to the marketed formulation and unprocessed drug candidate. The results showed that >85% of Glm nanosuspensions dissolved in the first 10 minutes compared to 10.17% of unprocessed Glm), 42.19% of microsuspensions, and 19.94% of marketed tablets. In-vivo studies conducted in animals, i.e. rabbits, demonstrated that maximum concentration and AUC_0-24 with oral dosing were twofold (5 mg/kg) and 1.74-fold (2.5 mg/kg) and 1.80-fold (5 mg/kg) and 1.63-fold (2.5 mg/kg), respectively, and compared with the unprocessed drug formulation. In-vitro α-glucosidase inhibition results showed that fabricated nanosuspensions had a pronounced effect compared to unprocessed drug.

Conclusion

The optimized batch fabricated by ultrasonication-assisted precipitation can be useful in boosting oral bioavailability, which may be accredited to enhanced solubility and dissolution rate of Glm, ultimately resulting in its faster rate of absorption due to nanonization.

Trapezoidal Linguistic Cubic Fuzzy TOPSIS Method and Application in a Group Decision Making Program

The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decision making (MCDM) method. The new ranking method for trapezoidal linguistic cubic fuzzy numbers (TrLCFNs) are used to rank the alternatives. Finally, an illustrative example is given to verify and prove the practicality and effectiveness of the proposed method.

A new strategy for taste masking of azithromycin antibiotic: development, characterization, and evaluation of azithromycin titanium nanohybrid for masking of bitter taste using physisorption and panel testing studies

Background

The obnoxious bitter taste of orally taken antibiotics is one of the biggest problems in the treatment of children. The pediatric population cannot tolerate the bitter taste of drugs and vomit out which ultimately leads to suboptimal therapeutic value, grimace and mental stress so it is the challenging task for the formulation scientists to formulate a palatable formulation particularly to overcome address the issue.

Purpose of study

The study aimed to mask and evaluate the unpleasant bitter taste of azithro-mycin (AZ) in the dry suspension dosage form by physisorption technique.

Materials and methods

AZ was selected as an adsorbent and titanium dioxide nanoparticles as adsorbate. The AZ nanohybrids (AZN) were prepared by treating fixed amount of adsorbent with a varied amount of adsorbate, prepared separately by dispersing it in an aqueous medium. The mixture was sonicated, stirred followed by filtration and drying. The AZN produced were characterized by various techniques including scanning electron microscopy (SEM), energy dispersive X-rays (EDX), powder X-ray diffraction (PXRD), HPLC and Fourier-transformed infrared (FTIR). The optimized nanohybrid was blended with other excipients to get stable and taste masked dry suspension dosage form.

Results

The results confirmed the adsorption of titanium dioxide nanoparticles on the surface of AZ. The fabricated optimized formulation was subjected for taste masking by panel testing and accelerated stability studies. The results showed a remarkable improvement in bitter taste masking, inhibiting throat bite without affecting the dissolution rate. The product showed an excellent stability both in dry and reconstituted suspension. The optimized formulation of AZN and was found stable when subjected to physical and chemical stability studies, this is because of short and single step process which interns limits the exposure of the product to various environmental factors that could potentially affect the stability of the product. The dissolution rate of the optimized formulation of AZN was compared with its marketed counterpart, showing the same dissolution rate compared to its marketed formulation.

Conclusion

The current study concludes that, by fabricating AZ-titanium nanohybrids using physisorption can effectively mask the bitter taste of the drug. The palatability and stability of azithromycin formulation was potentially enhanced without affecting its dissolution rate.

Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making

Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging (PFEHA) aggregation operator along with some of its properties, namely idempotency, boundedness, and monotonicity. PFEHA aggregation operator is the generalization of Pythagorean fuzzy Einstein weighted averaging aggregation operator and Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. The operator proposed in this paper provides more accurate and precise results as compared to the existing operators. Therefore, this method plays a vital role in real-world problems. Finally, we applied the proposed operator and method to multiple-attribute group decision making.

Isolation and preliminary evaluation of Mulva Neglecta mucilage: a novel tablet binder

ABSTRACT The aim of this study was to evaluate binding potential of Mulva neglecta mucilage (MNM) with subsequent comparison to PVP K30. Eight batches of Diclofenac sodium tablets were prepared by wet granulation technique keeping different concentrations (4, 6, 8 & 10% w/w) of Mulva neglecta mucilage (extracted from leaves of Mulva neglecta) and PVP K30 as standard binder. The granules of formulated batches showed bulk density (g/mL) 0.49 ± 0.00 to 0.57 ± 0.00, tapped density (g/mL) 0.59 ± 0.01 to 0.70 ± 0.01, Carr's index 09.27 ± 0.95 to 19.65 ± 0.59, Hausner's ratio 1.12 ± 0.00 to 1.24 ± 0.01 and angle of repose 30.37 ± 2.90 °C to 36.86 ± 0.94 °C. Tablets were compressed to hardness 7.50 to 7.95 kg/cm2. The tablets showed 0.39 ± 0.02 to 0.39 ± 0.01% friability and 7:20 to 14:00 min disintegration time. Granules and post-compression evaluation revealed that parameters assessed were all found to be within the pharmacopoeial limits. The results (hardness, disintegration and dissolution) proved that Mulva neglecta mucilage has better binding capacity for preparation of uncoated tablet dosage form as compared to PVP K30. Among all the formulations, MN-1 to MN-4 showed slow release as compared to PV-1 to PV-4 and thereby Mulva neglecta mucilage exhibited satisfactory drug release phenomenon tablets of diclofenac sodium.