1. |
- Zaman, Muhammad, et al.
(author)
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Application of Nanoprecipitation Technique to Develop Poloxamer-407 Facilitated Solid Lipid Nanoparticles for the Controlled Delivery of Tacrolimus
- 2023
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In: International Journal of Polymer Science. - : HINDAWI LTD. - 1687-9422 .- 1687-9430. ; 2023
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Journal article (peer-reviewed)abstract
- Currently, the solid lipid nanoparticles (SLNs) are utilized as a novel approach for the controlled drug delivery system (CDDS). Tacrolimus (TCM), a lipophilic drug, can easily be encapsulated in the hydrophobic core of these SLNs using nanoprecipitation technique. The current aim was to develop the controlled release Poloxamer (PLX) facilitated TCM loaded SLNs (PLX/TCM-SLNs), followed by their physicochemical evaluations, including chemical compatibility, particle size, surface charge, surface morphology, nature of SLNs, loading efficiency (LE), entrapment efficiency (EE), in vitro drug release studies, release kinetic modeling, and statistical evaluation. Here we also evaluate physicochemical properties of TCM and investigate solubility profile for improvement and dissolution rate of PLX/TCM-SLNs. PLX was used in the process as a polymer due to its low toxicity and weak immunogenic properties. The prepared formulation was characterized by scanning electron microscopy (SEM) images, and Fourier transform infrared spectroscopy (FTIR) has confirmed the compatibility of the selected ingredients, whereas particle size analysis showed that prepared PLX/TCM-SLNs were of nanosized (120:6 +/- 9nm) having zeta potential of - 21.3 Mv. On the other hand, SEM had revealed the smooth and uniform surface of the particle, while X-ray diffraction (XRD) confirmed the uniform surface as crystalline structure of TCM in PLX/TCM-SLNs masked. A satisfactory level of EE (94:5 +/- 2:74%) has also been noticed. Furthermore, in vitro drug release studies have explored the controlled release of drug during 8 hours, following zero order release kinetics and diffusion type of release mechanism. Outcomes of the studies have advocated the successful preparation of SLNs, as controlled release PLX/TCM-SLNs have been prepared efficiently.
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2. |
- Zaman, Muhammad, et al.
(author)
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Fabrication of PEGylated Chitosan Nanoparticles Containing Tenofovir Alafenamide : Synthesis and Characterization
- 2022
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In: Molecules. - : MDPI. - 1431-5157 .- 1420-3049. ; 27:23
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Journal article (peer-reviewed)abstract
- Tenofovir alafenamide (TAF) is an antiretroviral (ARV) drug that is used for the management and prevention of human immunodeficiency virus (HIV). The clinical availability of ARV delivery systems that provide long-lasting protection against HIV transmission is lacking. There is a dire need to formulate nanocarrier systems that can help in revolutionizing the way to fight against HIV/AIDS. Here, we aimed to synthesize a polymer using chitosan and polyethylene glycol (PEG) by the PEGylation of chitosan at the hydroxyl group. After successful modification and confirmation by FTIR, XRD, and SEM, TAF-loaded PEGylated chitosan nanoparticles were prepared and analyzed for their particle size, zeta potential, morphology, crystallinity, chemical interactions, entrapment efficacy, drug loading, in vitro drug release, and release kinetic modeling. The fabricated nanoparticles were found to be in a nanosized range (219.6 nm), with similar to 90% entrapment efficacy, similar to 14% drug loading, and a spherical uniform distribution. The FTIR analysis confirmed the successful synthesis of PEGylated chitosan and nanoparticles. The in vitro analysis showed similar to 60% of the drug was released from the PEGylated polymeric reservoir system within 48 h at pH 7.4. The drug release kinetics were depicted by the Korsmeyer-Peppas release model with thermodynamically nonspontaneous drug release. Conclusively, PEGylated chitosan has the potential to deliver TAF from a nanocarrier system, and in the future, cytotoxicity and in vivo studies can be performed to further authenticate the synthesized polymer.
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3. |
- Ahmad, Naveed, et al.
(author)
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Csr communication through social media : A litmus test for banking consumers’ loyalty
- 2021
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In: Sustainability (Switzerland). - : MDPI AG. - 2071-1050. ; 13:4, s. 1-16
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Journal article (peer-reviewed)abstract
- Prior literature in the field of corporate social responsibility (CSR) has largely focused on investigating its relationship with organizational-related outcomes, whereas the impact of CSR on consumer behavior is largely ignored in the recent literature. Further, most of the prior studies have investigated CSR with a philanthropic viewpoint, but its importance in achieving marketing-related outcomes is something that is to date, underexplored. Hence, the aim of the present study is to investigate the impact of CSR communication through social media on consumer loyalty with the mediating effect of consumers’ brand admiration in the banking sector of Pakistan. The banking sector was selected due to the reason that this sector is homogenized in nature and creating consumers’ loyalty due to this homogenized character of this sector is challenging. The data of the present study were collected from different banking consumers through an adapted questionnaire on a five-point Likert scale. A total of 448 fully filled questionnaires were received which included 289 male and 159 female banking consumers. The results of the present study revealed that CSR communications through social media have a positive impact on consumer loyalty, and consum-ers’ brand admiration partially mediates this relationship. The findings of the present study would help policymakers from banking institutions to use CSR strategy from the perspective of marketing which is undoubtedly very important for every organization in the current digital age.
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4. |
- Irshad, Muneeb, et al.
(author)
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Evaluation of BaCo0.Fe-4(0).4Zr0.2-xNixO3-delta perovskite cathode using nickel as a sintering aid for IT-SOFC
- 2021
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In: RSC Advances. - : Royal Society of Chemistry. - 2046-2069. ; 11:24, s. 14475-14483
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Journal article (peer-reviewed)abstract
- In this research work, BaCo0.Fe-4(0).4Zr0.2-xNixO3-delta (x = 0, 0.01, 0.02, 0.03, 0.04) perovskite cathode material for IT-SOFC is synthesized successfully using a combustion method and sintered at low temperature. The effects of nickel as a sintering aid on the properties of BaCo0.Fe-4(0).Zr-4(0).O-2(3-delta) are investigated through different characterization methods. The addition of nickel increased the densification and grain growth at a lower sintering temperature 1200 degrees C. XRD analysis confirms a single phase of BaCo0.Fe-4(0).Zr-4(0).O-2(3-delta), and an increase in crystalline size is observed. SEM micrographs show formation of dense microstructure with increased nickel concentration. TGA analysis revealed that BaCo0.Fe-4(0).4Zr0.2-xNix cathode materials are thermally stable within the SOFC temperature range, and negligible weight loss of 2.3% is observed. The bonds of hydroxyl groups and metal oxides are confirmed for all samples through FTIR analysis. The highest electrical properties are observed for BaCo0.Fe-4(0).4Zr0.2-xNix (x = 0.04) due to increased densification and electronic defects compared to other compositions. The maximum power density of 0.47 W cm(-2) is obtained for a cell having cathode material BaCo0.Fe-4(0).4Zr0.2-xNix (x = 0.02) owing to its permeable and well-connected structure compared to others.
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5. |
- Mallhi, Tauqeer Hussain, et al.
(author)
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Mental Health and Coping Strategies among University Staff during the COVID-19 Pandemic : A Cross-Sectional Analysis from Saudi Arabia
- 2023
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In: Sustainability. - : MDPI. - 2071-1050. ; 15:11
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Journal article (peer-reviewed)abstract
- This study examined psychological health and coping strategies among faculty and staff at a Saudi Arabian university. A web-based self-administered survey was used to assess probable anxiety, depression, post-traumatic stress disorder (PTSD), and coping strategies by using the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Impact of Event Scale-Revised (IES-R), and Brief-COPE scale, respectively. Of 502 participants (mean age 36.04 +/- 10.32 years, male: 66.3%), 24.1% (GAD-7 >= 10) had probable anxiety. Anxiety score was significantly higher in females (p < 0.001), those with a history of COVID-19 infection (p = 0.036), and participants with less work experience (p = 0.019). Approximately 40% of participants met the criteria of probable depression, with females (p < 0.001) and participants with less experience having more depressive symptoms. Around one-fourth (27.7%) of study participants indicated probable PTSD (score +/- 33), with higher symptoms in females (p <0.001), less experienced staff (p < 0.00 1), and academic staff (p = 0.006). Correlation analysis indicated a significant positive correlation between anxiety and depression (r = 0.844, p < 0.001), anxiety and PTSD (r = 0.650, p < 0.001), and depression and PTSD (r = 0.676, p < 0.001). Active coping, religious/spiritual coping, and acceptance were common coping strategies, while substance use was the least adopted coping method among the study participants. This study indicated a high prevalence of probable psychological ailments among university staff.
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6. |
- Naveed, Muhammad Hamza, et al.
(author)
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Cellulosic biomass fermentation for biofuel production : Review of artificial intelligence approaches
- 2024
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In: Renewable & sustainable energy reviews. - : Elsevier. - 1364-0321 .- 1879-0690. ; 189
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Journal article (peer-reviewed)abstract
- Scarcity in fossil fuel reserves and their environmental impacts has forced the world towards the production of clean and environment-friendly fuels called biofuels. This review focuses on the importance of different machine learning models and optimization techniques to simulate and optimize process conditions, yield and parameters in the fermentation of cellulosic biomass from fifty recent studies. The superiority of ML models, especially ANN dominance in 70 % of studies with highest coefficient of regression over conventional techniques in the production of bioethanol and biohydrogen is comprehensively reviewed. Research gaps and studies directed toward the usage of most optimum ML models in future are directed after the sensitivity analysis with 5 % variation that suggest the stability of ML models. It is intended to spur further investigation into the development and use of ML models combined with optimization methods and CFD in the fermentation process to produce bioethanol and biohydrogen.
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7. |
- Sarfraz, Amina, et al.
(author)
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Catalytic Effect of Silicon Carbide on the Composite Anode of Fuel Cells
- 2021
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In: ACS Applied Energy Materials. - : AMER CHEMICAL SOC. - 2574-0962. ; 4:7, s. 6436-6444
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Journal article (peer-reviewed)abstract
- High efficiency, fuel flexibility, and sustainable energy conversion make fuel cells attractive compared to conventional energy systems. The direct ethanol fuel cells have attracted much attention because of the direct utilization of ethanol fuel. Anode materials are required to enhance the catalytic activity of the liquid fuel, which oxidize the fuel at lower operating temperature. Therefore, the catalytic effect using silicon carbide has been investigated in the LiNiO2-delta anode. The material has been characterized, and it is found that SiC shows a cubic structure and LiNiO2-delta exhibits a hexagonal structure, while the LiNiO2-delta-SiC composite exhibits a mixed cubic and hexagonal phase. Scanning electron microscopy depicts that the material is porous. The Fourier transform infrared spectroscopy analysis shows the presence of Si-O-Si, Si-C, C=O, and Si-OH bonding. The LiNiO2-delta-SiC composite (1:0.3) exhibited a maximum electrical conductivity of 1.34 S cm(-1) at 650 degrees C with an electrical band gap of 0.84 eV. The fabricated cell with the LiNiO2-delta-SiC anode exhibits a power density of 0.20 W cm(-2) at 650 degrees C with liquid ethanol fuel. The results show that there is a promising catalytic activity of SiC in the fuel cell anode.
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8. |
- Ahmed, Saad, et al.
(author)
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Demystifying Energy Consumption Dynamics in Transiently Powered Computers
- 2020
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In: ACM Transactions on Embedded Computing Systems. - : Association for Computing Machinery. - 1539-9087 .- 1558-3465. ; 19:6
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Journal article (peer-reviewed)abstract
- Transiently powered computers (TPCs) form the foundation of the battery-less Internet of Things, using energy harvesting and small capacitors to power their operation. This kind of power supply is characterized by extreme variations in supply voltage, as capacitors charge when harvesting energy and discharge when computing. We experimentally find that these variations cause marked fluctuations in clock speed and power consumption. Such a deceptively minor observation is overlooked in existing literature. Systems are thus designed and parameterized in overly conservative ways, missing on a number of optimizations.We rather demonstrate that it is possible to accurately model and concretely capitalize on these fluctuations. We derive an energy model as a function of supply voltage and prove its use in two settings. First, we develop EPIC, a compile-time energy analysis tool. We use it to substitute for the constant power assumption in existing analysis techniques, giving programmers accurate information on worst-case energy consumption of programs. When using EPIC with existing TPC system support, run-time energy efficiency drastically improves, eventually leading up to a 350% speedup in the time to complete a fixed workload. Further, when using EPIC with existing debugging tools, it avoids unnecessary program changes that hurt energy efficiency. Next, we extend the MSPsim emulator and explore its use in parameterizing a different TPC system support. The improvements in energy efficiency yield up to more than 1000% time speedup to complete a fixed workload.
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9. |
- Amin, Muhammad, et al.
(author)
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New ridge estimators in the inverse Gaussian regression : Monte Carlo simulation and application to chemical data
- 2022
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In: Communications in statistics. Simulation and computation. - : Taylor & Francis. - 0361-0918 .- 1532-4141. ; 51:10, s. 6170-6187
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Journal article (peer-reviewed)abstract
- In numerous application areas, when the response variable is continuous, positively skewed, and well fitted to the inverse Gaussian distribution, the inverse Gaussian regression model (IGRM) is an effective approach in such scenarios. The problem of multicollinearity is very common in several application areas like chemometrics, biology, finance, and so forth. The effects of multicollinearity can be reduced using the ridge estimator. This research proposes new ridge estimators to address the issue of multicollinearity in the IGRM. The performance of the new estimators is compared with the maximum likelihood estimator and some other existing estimators. The mean square error is used as a performance evaluation criterion. A Monte Carlo simulation study is conducted to assess the performance of the new ridge estimators based on the minimum mean square error criterion. The Monte Carlo simulation results show that the performance of the proposed estimators is better than the available methods. The comparison of proposed ridge estimators is also evaluated using two real chemometrics applications. The results of Monte Carlo simulation and real applications confirmed the superiority of the proposed ridge estimators to other competitor methods.
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10. |
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Impact of substantive staging and communicative staging of sustainable servicescape on behavioral intentions of hotel customers through overall perceived image : A case of boutique hotels
- 2021
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In: International Journal of Environmental Research and Public Health. - : MDPI AG. - 1661-7827 .- 1660-4601. ; 18:17
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Journal article (peer-reviewed)abstract
- Customers have become very sensitive regarding the innovative evaluation of servicesDue to competition in the hospitality industry, it is a challenge for hotel marketers to understand customers’ behavior. There is scant research in the hotel industry of Pakistan and especially on boutique hotels. This research seeks to measure the relationship between substantive, communicative elements of the sustainable servicescape and behavioral intentions (word of mouth) in a boutique hotel setting. However, the mediating effect of the overall perceived image is examined between these constructs. Responses of boutique hotel visitors were collected from Lahore, Islamabad, Faisalabad, and Murree. Data were analyzed by using structural equation modeling (SEM). Results display that both substantive and communicative servicescape elements positively affect the perceived image of customers, which has a positive influence on behavioral intentions such as word of mouth (WOM)Theoretical and practical implications are also discussed.
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