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  1. Rehman FU, Shah KU, Shah SU, Khan IU, Khan GM, Khan A
    Expert Opin Drug Deliv, 2017 Nov;14(11):1325-1340.
    PMID: 27485144 DOI: 10.1080/17425247.2016.1218462
    INTRODUCTION: Lipid-based drug delivery systems (LBDDS) are the most promising technique to formulate the poorly water soluble drugs. Nanotechnology strongly influences the therapeutic performance of hydrophobic drugs and has become an essential approach in drug delivery research. Self-nanoemulsifying drug delivery systems (SNEDDS) are a vital strategy that combines benefits of LBDDS and nanotechnology. SNEDDS are now preferred to improve the formulation of drugs with poor aqueous solubility. Areas covered: The review in its first part shortly describes the LBDDS, nanoemulsions and clarifies the ambiguity between nanoemulsions and microemulsions. In the second part, the review discusses SNEDDS and elaborates on the current developments and modifications in this area without discussing their associated preparation techniques and excipient properties. Expert opinion: SNEDDS have exhibit the potential to increase the bioavailability of poorly water soluble drugs. The stability of SNEDDS is further increased by solidification. Controlled release and supersaturation can be achieved, and are associated with increased patient compliance and improved drug loads, respectively. Presence of biodegradable ingredients and ease of large-scale manufacturing combined with a lot of 'drug-targeting opportunities' give SNEDDS a clear distinction and prominence over other solubility enhancement techniques.
  2. Rehman FU, Ismail H, Al Ghazali BM, Asad MM, Shahbaz MS, Zeb A
    PLoS One, 2021;16(12):e0261573.
    PMID: 34937055 DOI: 10.1371/journal.pone.0261573
    Drucker's knowledge-worker productivity theory and knowledge-based view of the firm theory are widely employed in many disciplines but there is little application of these theories in knowledge-based innovation among academic researchers. Therefore, this study intends to evaluate the effects of the knowledge management process on knowledge-based innovation alongside with mediating role of Malaysian academic researchers' productivity during the Pandemic of COVID-19. Using a random sampling technique, data was collected from 382 academic researchers. Questionnaires were self-administered and data was analyzed via Smart PLS-SEM. Knowledge management process and knowledge workers' productivity have a positive and significant relationship with the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. In addition, knowledge workers' productivity mediates the relationship between the knowledge management process (knowledge creation, knowledge acquisition, knowledge sharing, and knowledge utilization) and knowledge-based innovation during the Pandemic of COVID-19. Results have also directed knowledge sharing as the key factor in knowledge-based innovation and a stimulating task for management discipline around the world during the Pandemic of COVID-19. This study provides interesting insights on Malaysian academic researchers' productivity by evaluating the effects of knowledge creation, acquisition, sharing, and application on the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. These useful insights would enable policymakers to develop more influential educational strategies. By assimilating the literature of defined variables, the main contribution of this study is the evaluation of knowledge creation, acquisition, sharing, and utilization into knowledge-based innovation alongside the mediating role of knowledge workers productivity in the higher education sector of Malaysia during the Pandemic of COVID-19.
  3. Rehman FU, Gyamfi S, Rasool SF, Akbar F, Hussain K, Prokop V
    Environ Sci Pollut Res Int, 2023 Dec;30(58):122274-122292.
    PMID: 37964150 DOI: 10.1007/s11356-023-30956-0
    Recently, the trend of circular economy innovation (CEI) drive SMEs to initiate more sustainable practices to attain market competitiveness but rare attention has been paid in emerging economies. Hence, this study plans to explore the impacts of CEI on the triple bottom lines (TBL) efficiencies in the light of market competitiveness among the production SMEs in emerging economies. The study complied data by using a survey-based technique in Pakistan, Malaysia, and China. With a sample of 306 for each segment, data were evaluated with PLS-SEM to clarify results. The findings reveal that CEI has positive significant effects on the market competitiveness and TBL efficiencies among the production SMEs in emerging economies. The findings also clarify that market competitiveness mediates the relationship between CEI and the TBL efficiencies. The findings elaborate the theoretical foundations for environmental-based production SMEs to formulate more sustainable strategies in the light of CEI to gain market competitiveness. It also clarifies the understandings of policy makers and environmental regulators by providing a novel precursor to frame the environment-based TBL guidelines for SMEs. It adds to the UN sustainability agenda by elevating the role of CEI as a novel domain among emerging economies grounded on the resource-based view theory.
  4. Waheed T, Min P, Din SU, Ahmad P, Khandaker MU, Haq S, et al.
    Heliyon, 2023 Oct;9(10):e20976.
    PMID: 37886752 DOI: 10.1016/j.heliyon.2023.e20976
    A hydrothermal technique was employed to synthesize Ni/Mg/Al ternary L.D.H.s modified with montmorillonite (NMA-MMT-LDHs). Many characterization methods, including X-ray diffraction (XRD), scanning electron microscopy (S.E.M.), Fourier transform infrared (FTIR), and Brunauer, Emmett, and Teller (B.E.T.), were used to assess the physiochemical properties of the produced analytes. Congo red and methylene blue were utilized as model dyes to treat textile waste with the synthesized analytes. The batch adsorption model was utilized to conduct the adsorption experiments under varying contact time, adsorbent dosage, and solution pH conditions. A pseudo-second-order kinetics and the Langmuir adsorption model control the adsorption process. The maximum monolayer adsorption capacities of C.R. and M.B. were determined to be 344 and 200 mg/g, respectively. As the quantity of dosage increased from the 0.01-0.04 g, the percent removal efficiency (%) increased from 75 to 87 % for S2-LDH, 84-88 % for S2-MMT, 86-93 % for S3-MMT, and 95-97% for S4-MMT for C.R. dye and 82-85 % for S2-LDH, 83-89 % for S2-MMT, 83-91 % for S3-MMT, and 84-92 % for S4-MMT for M.B. dye. The removal percentage of C.R. dye for adsorbents S2-LDH, S2-MMT, S3-MMT, and S4-MMT were 75 %, 84 %, 86 %, and 95 %, respectively and 82 %, 83 %, 83 %, and 85 %, respectively for the M.B. dye removal. The presence of MMT significantly increases the affinity of Ni/Mg/Al-LDHs (NMA-LDHs), and the designed production technique can be used to produce a variety of compositionally distinct adsorbent materials.
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