Comparison of whole blood and serum samples of breast cancer based on laser-induced breakdown spectroscopy with machine learning.

To identify cancer from non-cancer is one of the most challenging issues nowadays in the early diagnosis of cancer. The primary issue of early detection is to choose a suitable type of sample collection to diagnose cancer. A comparison of whole blood and serum samples of breast cancer was studied using laser-induced breakdown spectroscopy (LIBS) with machine learning methods. For LIBS spectra measurement, blood samples were dropped on a substrate of boric acid. For the discrimination of breast cancer and non-cancer samples, eight machine learning models were applied to LIBS spectral data, including decision tree, discrimination analysis, logistic regression, naïve byes, support vector machine, k-nearest neighbor, ensemble and neural networks classifiers. Discrimination between whole blood samples showed that narrow neural networks and trilayer neural networks both provided 91.7% highest prediction accuracy and serum samples showed that all the decision tree models provided 89.7% highest prediction accuracy. However, using whole blood as sample achieved the strong emission lines of spectra, better discrimination results of PCA and maximum prediction accuracy of machine learning models as compared to using serum samples. These merits concluded that whole blood samples could be a good option for the rapid detection of breast cancer. This preliminary research may provide the complementary method for early detection of breast cancer.

In-depth drug delivery to tumoral soft tissues via pH responsive hydrogel.

A pH responsive nanoparticle-hydrogel hybrid drug delivery system was investigated for in-depth anticancer drug delivery to solid tumours. It consists of acid susceptible polymer nanoparticles loaded in a chitosan hydrogel. The hybrid formulation was characterized by UV-visible spectroscopy, FTIR, SEM, TEM, particle size analysis, zeta potential measurement and viscosity measurement. Drug encapsulation and nanoparticle loading efficiencies were found to be 48% and 72% respectively which describes the efficient interaction of the chemical entities in this hybrid drug delivery system. The hydrogel exhibited pH responsive behaviour: minimal drug and nanoparticle release at physiological pH but an increase in viscosity under acidic conditions and fast nanoparticle and drug release. The cytotoxicity of the drug loaded hydrogel was investigated against the MCF-7 breast cancer cell line along with the drug and nanoparticles without hydrogel. The drug loaded hydrogel showed a better cytotoxic effect on MCF-7 cancer cells. Thus, drug loaded nanoparticles containing hydrogel could be a better option for maximum drug distribution in tumours.

Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning.

Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from the research community due to their potential to improve data rates. However, a suitable scheduling mechanism is required to efficiently distribute available spectrum resources and enhance system capacity. This paper investigates the user selection problem in Multi-User MIMO (MU-MIMO) environment using the multi-agent Reinforcement learning (RL) methodology. Adopting multiple antennas' spatial degrees of freedom, devices can serve to transmit simultaneously in every time slot. We aim to develop an optimal scheduling policy by optimally selecting a group of users to be scheduled for transmission, given the channel condition and resource blocks at the beginning of each time slot. We first formulate the MU-MIMO scheduling problem as a single-state Markov Decision Process (MDP). We achieve the optimal policy by solving the formulated MDP problem using RL. We use aggregated sum-rate of the group of users selected for transmission, and a 20% higher sum-rate performance over the conventional methods is reported.

Optimization and validation of an analytical method for the estimation of methotrexate in rabbit plasma.

Methotrexate (MTX) is an anticancer drug used for the treatment of various cancers and autoimmune diseases. In this study, High Performance Liquid Chromatography (HPLC) method was developed and validated for the estimation of MTX in rabbit plasma with high estimation rate and recovery. Various validation parameters like, sensitivity, sample recovery, accuracy and precision analysis were studied. The pre-saturated reversed C18 end capped HPLC column was used to separate MTX present in rabbit plasma. A solvent mixture of 100mM phosphate buffer pH 7.4 and acetonitrile (92:8 percent v/v) was employed as the mobile phase. Analysis was carried out at ʎ max 303 nm and retention time of MTX was found 5.32 min. During the method development and validation ICHQ2 (R1) guidelines were strictly followed. Developed method was found excellent in terms of recovery of MTX from plasma samples (98.6%). It is obvious from the current study that the developed HPLC method can be utilized to analyze the level of MTX in patients. Furthermore, the cost of the developed method for the determination of MTX would be very low as compared to the previously reported methods.

Fenugreek seed mucilage grafted poly methacrylate pH-responsive hydrogel: A promising tool to enhance the oral bioavailability of methotrexate.

This study aimed to develop the Fenugreek seed mucilage-based pH-responsive hydrogel system in order to improve the oral bioavailability of methotrexate (MTX). Fenugreek seed mucilage (FSM) was extracted from Trigonella foenum-graecum seeds. F1-F9 formulations of pH-responsive hydrogels were prepared using various FSM ratios, methacrylic acid (MAA), and methylene bis acrylamide (MBA) via free radical polymerization technique. Swelling behavior and in vitro drug release studies of prepared hydrogels were evaluated. Toxicity studies of prepared hydrogels were performed on normal cells and on Wistar rats (n = 6). Moreover, in vivo pharmacokinetics parameters were studied on albino rabbits. Hydrogels formation was confirmed by FTIR analysis, thermal analysis and SEM studies. The maximum swelling of hydrogel was found to be 384.7% at pH 7.4. MTX-loaded hydrogel showed the controlled release of MTX up to 24 h following Super Case II transport. Prepared hydrogels exhibited no toxicity in normal cells as well as in experimental subjects. MTX loaded hydrogels exhibited less inhibition compared to free MTX on Hela cells. In Vivo studies revealed 7.5-fold improved oral bioavailability of MTX with higher Cmax (928 ng/mL). These results indicate that the pH-responsive hydrogel system based on FSM is a promising tool for the controlled delivery of MTX.

3D Conducting Polymeric Membrane and Scaffold Saccharomyces cerevisiae Biofilms to Enhance Energy Conversion in Microbial Fuel Cells.

Microbial fuel cells (MFCs) can spontaneously convert chemical energy into electricity using biocatalytic microorganisms and organic matter as fuel feedstocks. Three-dimensional cross-linked poly(vinyl alcohol)-based membranes were produced by a sol-gel method under homogeneous catalysis and used as the electrolyte to facilitate effective proton conduction. Under dry conditions, these polymeric membranes showed high water uptake (120%) and ionic conductivity (2.815 mS cm-1). In the anode compartment, the scaffold Saccharomyces cerevisiae film biocatalysts were used to improve electron transfer to the cathode, using three major configurations to generate a higher power output. It was found that the graphene anchoring, red light (RL) stimulation, and methylene blue (MB) mediation-enhanced device performance. The electrochemically derived graphene improved the power and current density by 40% because of its high conductivity. The RL stimulation increased the power density by 80% because of a shortened electron flow path to complex III. The MB mediation also yielded a higher current density by 340% because MB can bypass the electron flow from complex II to cytochrome c and transfer electrons directly to complex III. The individual and collective increase in power output was due to more efficient electron flow from the electronic network permeating the biofilm. The generated electrons were transferred either to graphene as an energy-efficient direct transfer mode or to methylene blue as a long-range redox mediator for indirect transfer. Red light stimulation enhanced oxygen utilization efficiency and stimulated electrons in redox proteins enhancing electron flux. These processes generated higher power through the more efficient generation of electrons and faster transport to the external circuit. As society migrates from gasoline consumption to low carbon-based fuels, the MFCs become important in producing electrical energy with low net emissions.

When breaking the rule becomes necessary: The impact of leader-member exchange quality on nurses pro-social rule-breaking.

AIM: Despite the literature on nursing leadership, the research on the quality of exchange relationship between nursing leaders and nurses is in its initial stages. Also, the underlying mechanism that exists between leader-member exchange and employee outcomes warrants further inquiry. This study aimed to fill these gaps by investigating the role of leader-member exchange relationships and organizational identification in nurses' intentional violation of hospital regulations to promote their patients' welfare, also called pro-social rule-breaking. In contrast to a vast number of previous studies, we argue that pro-social rule-breaking can be positive for organizations. Therefore, nurses should be given margin and autonomy to break hospital rules when needed by establishing a high-quality exchange relationship with the supervisor. DESIGN: A quantitative study was conducted on nurses working in hospitals in Pakistan by utilizing a non-probability convenience sampling technique. METHOD: Data from nurses and their colleagues (n = 224) were collected at three-time points between June 2019 and August 2019 through questionnaires. RESULTS: The results proved that nurses' possessing a high-quality exchange relationship with their supervisor feels a higher level of identification with their organization. In turn, they are more likely to engage in pro-social rule-breaking as a form of constructive deviance.

Therapeutic appraisal of ephedrine against rheumatoid arthritis: A new indication.

Ephedra, natural flora has been used traditionally to treat rheumatism since decades. The scientific evidence of anti-rheumatic effect of this plant has also been reported. But the anti-rheumatic activity of major constituent of this plant (ephedrine) has not been evaluated. Based on this, the current study was aimed to assess anti-arthritic activity of ephedrine by using in vitro and in vivo approaches. Correspondingly, enzyme linked immunosorbent assay was performed for the estimation of prostaglandins E2 (PGE2) and tumor necrosis factor-α (TNF-α) in serum of formaldehyde-induced arthritic animals. The results elaborated significant reduction in albumin denaturation and remarkable progress on stabilization of red blood cells outer membrane at higher concentration during in vitro experiments. The ephedrine (40mg/kg) revealed noteworthy (p<0.001) inhibition in paw swelling in animals intoxicated with albumin as well as formaldehyde as compared to animals of control group by in vivo results. In this assay, ephedrine (20 & 40 mg/kg orally) significantly suppressed the level of these inflammatory markers (PGE2 & TNF-α). Ephedrine exhibited anti-arthritic effect by decreasing pro-inflammatory cytokines (PGE2 & TNF-α). This experimental work pharmacologically supports the use of ephedrine as anti-rheumatic drug but limited to evaluate in immunological arthritic model.

Development and validation of single analytical HPLC method for determination of flavoxate HCl in bulk, tablets and biological fluids.

A simple, sensitive and precise high performance liquid chromatographic (HPLC) method was developed and validated for determination of flavoxate HCI in raw material, tablets and biological fluids. The method followed by using the Zorbax XDB-C18 column containing Di-isobutyl n-octadeceylsilane (4.6mm×150mm, 5µm). The mobile phase consisted of acetonitrile: methanol: 0.15M sodium perchlorate (17:35:48 v/v) having pH 3. UV detection was carried out at 229nm at 40°C. Results indicated that the method has successfully established and validated in accordance with ICH guidelines acceptance criteria for linearity (0.03-7.5µg), accuracy (101.18-101.28%), robustness of column age and column lot (peak area %CV<0.04, purity %CV< 0.006) and robustness of HPLC condition (%CV<0.02), precision (intra and inter day precision assay, %CV values for peak area and percent purity of flavoxate HCl<2%) and system suitability parameters. The average noise, theoretical LOD and LOQ were found to be 0.01 mAU, 0.03 mAU and 0.6ng, respectively. The Coefficient of determination (r2) ranging from 0.03µg to 7.5µg, 0.99 which was within acceptable criteria of r2 & gt 0.99. The spiked recoveries of samples were 101.28, 101.18 and 101.18% respectively. All data revealed that this method can be used for in-vitro & in-vivo determination of flavoxate HCI in various pharmaceutical preparations.

Olive Oil Based Methotrexate Loaded Topical Nanoemulsion Gel for the Treatment of Imiquimod Induced Psoriasis-like Skin Inflammation in an Animal Model.

Psoriasis, a chronic inflammatory illness, is on the rise and is linked to several other life-threatening diseases. The primary goal of this study was to create a nanoemulsion gel loaded with methotrexate and olive oil (MTX NEG). The formulation was evaluated for physicochemical characterization, entrapment efficiency, drug release kinetics, skin permeation studies and stability tests. In addition, the efficacy of MTX NEG against psoriasis was tested using imiquimod-induced psoriasis in a rat model. The final optimized MTX NEG was developed with a particle size of 202.6 ± 11.59 nm and a PDI of 0.233 ± 0.01, with a 76.57 ± 2.48% average entrapment efficiency. After 20 h, the release kinetics predicted a 72.47% drug release at pH 5.5. FTIR findings demonstrated that the optimized MTX NEG formulation effectively fluidized both the epidermis and dermis of the skin, potentially increasing drug permeability and retention. The application of Tween 80 and PEG 400, on the other hand, significantly enhanced these effects, as these are well known penetration enhancers. After 24 h, an average of 70.78 ± 5.8 µg/cm2 of methotrexate was permeated from the nanoemulsion gel with a flux value of 2.078 ± 0.42 µg/cm2/h, according to permeation measurements. Finally, in vivo experiments on rabbit skin revealed that the increased skin penetration of methotrexate-loaded nanoemulsion gel was not due to structural alterations in intercellular lipid layers in the stratum corneum. In vivo antipsoriatic studies on rats revealed that MTX NEG produced a PASI decrease that was extremely similar and even better than the 91% reduction seen in the MTX tablet group. According to the pharmacokinetic profile, Cmax was 8.5 µg/mL, Tmax was 12 h, and t1/2 was 15.5 ± 2.37 h. These findings reinforce that MTX-NEG based on olive oil could be a possible treatment for psoriasis and could decrease the remission of psoriasis-like symptoms.

Technology Acceptance Behavior and Feedback Loop: Exploring Reverse Causality of TAM in Post-COVID-19 Scenario.

In this study, we considered the reverse causality of the technology acceptance model, specifically in the post-COVID-19 scenario. We propose a theoretical model that considers the impact of technology acceptance behaviors after COVID-19 over the beliefs of a user in terms of perceived ease of using technology and its usefulness. More specifically, we suggested that acceptance of technology post-COVID-19 may have influenced many technology-related individual factors such as computer efficacy, mastery experience, and self-regulated learning of users, while using technology that in turn may have affected beliefs of users about ease of using technology. Such an effect is ultimately reflected in the belief of technology usefulness and favorable post-COVID-19 attitude of users toward using technology. We further extend our model to identify mastery orientation of individuals that may moderate the relationship between technology acceptance behaviors and favorable attitude toward using technology in the post-COVID-19 scenario. Both practical and theoretical implications of this perspective are discussed.

Development, characterization and optimization of methotrexate-olive oil nano-emulsion for topical application.

The chronic inflammatory conditions like psoriasis has an increased prevalence and is linked with various associated life threatening disease conditions. The main objective of this project was to developed a methotrexate-olive loaded nano emulsion. The formulation was assessed for various parameters including Thermodynamic Stability, physico-chemically characterization, drug release kinetics and entrapment efficiency and in vitro/ in vivo skin permeation analysis. Final optimized formulation had a particle size 18.27±5.78 nm with a PDI of 0.25±0.01, whereas the average entrapment efficiency of formulation was 74.68±2.1%. The release kinetics suggested 97.72% drug release at pH 5 after 20 hrs. The FTIR data confirmed that the chemical structure of drug is retained with efficient loading into the formulation. Permeation data showed that an average of 79.23±3.6µg/cm2 of methotrexate was permeated from the nano emulsion with an average flux of 2.326±0.45µg/cm2/h after 24 hrs. Finally in vivo studies on rabbit skin confirmed that the structural changes of intercellular lipid layers in the stratum corneum are not responsible for enhanced skin permeation of methotrexate loaded nano emulsion. It was concluded that olive oil based MTX-NE is suitable for topical application and can be used for management of psoriasis.

Statistically optimized pentazocine loaded microsphere for the sustained delivery application: Formulation and characterization.

Pentazocine (PTZ) is a narcotic analgesic used to manage moderate to severe, acute and chronic pains. In this study, PTZ loaded Ethyl cellulose microsphere has been formulated for sustained release and improved bioavailability of PTZ. These microspheres were fabricated by oil in water emulsion solvent evaporation technique. A three factorial, three levels Box-Behnken design was applied to investigate the influence of different formulation components and process variables on the formulation response using the numeric approach through the design expert® software. All the formulations were characterized for the morphology, different physicochemical properties and the results were supported with the ANOVA analysis, three dimensional contour graphs and regression equations. The maximum percentage yield was 98.67% with 98% entrapment of PTZ. The mean particle size of the formulations ranges from 50-148µm, which directly relates to the concentration of polymer and inversely proportional to the stirring speed. SEM revealed the spherical shape of PTZ microspheres with porous structures. These are physically, chemically and thermally stable as confirmed through Fourier transform infrared spectroscopy (FTIR), powder X-ray diffraction (PXRD) and thermal gravimetric (TG) analysis respectively. The microspheres provided a sustained release of the PTZ for more than 12 hours, following zero order with fickian and non fickian diffusion. The results indicate that prepared microspheres can be a potential drug delivery system (DDS) for the delivery of PTZ in the management of pains.

Electrocatalysts for direct methanol fuel cells to demonstrate China's renewable energy renewable portfolio standards within the framework of the 13th five-year plan.

A unified treatment of the renewable portfolio standards is given concerning direct methanol fuel. The current mechanism of electrocatalysis of methanol oxidation on platinum and non-platinum-containing alloys is summarized for the systematic improvement of the rate of electro-oxidation of methanol are discussed. Policy realignment under the five-year plan is discussed in length to demonstrate how policy, markets, and engineering designs contribute towards the development of model direct methanol fuel cells operational enhancement, and factors that affect critical performance parameters for commercial exploitation are summarized for catalytic formulations and cell design within the context of why this investment in technology, education, and finances is required within the global context of sustainable energy and energy independence as exposed by thirteenth the five-year plan. The prolog focuses on the way, whereas the section on methanol fuel cells on the how and the post log on what is expected post-COVID-19 era in science and technology as China pivots to a post-fossil fuel economy. China's industrial growth has been through internal market reforms and supplies side economics from the Chinese markets for fossil fuels except for petroleum. The latest renewable portfolio standards adopted have common elements as adopted from North American and the United Kingdom in terms of adaptation of obligation in terms of renewable portfolio standards as well as a realization that the necessity for renewables standards for the thirteen five year plan (from 2016 to 2020) need to less rigorously implemented due to performance targets that were met during the eleventh (06-10) and twelfth five-year plans (11-15) in terms of utilization of small coal-ire power plants, development of newer standards, led to an improvement of energy efficiency of 15 %, reduction of SOx/NOx by an average of 90 % and PM2.5 by 96 % over the last two five-year plans. The current phase of the plan has a focus on energy generation from coal and a slowing down of renewables or Renewable energy curtailment of approximately 400 T Wh renewables including 300 T Wh of non-hydro power, principally from Guangdong, and Jiangsu for transfer of hydropower and Zhejiang, Tianjin, Henan for non-hydro power transfer with Beijing and Shanghai playing important roles in renewables energy curtailment and realignment using an integrated approach to optimize each provinces energy portfolio. The realignment of the renewable energy portfolio indicates that the newly installed capacity in Sichuan, Yunnan, Inner Mongolia, and Zhejiang will account for less than 20 % of the current renewable energy portfolio but with the NOx SOx and PM2.5 savings already accrued. The catalytic reduction of carbon dioxide to methanol (70 / 110 million metric tons from all sources in 2019 for China/world) is one technological approach to reduce global carbon dioxide emissions and suggests that catalytic methanol synthesis by CO2 hydrogenation may be a plausible approach, even if it is more expensive economically than methanol synthesis by the syngas approach. This is because the CO2 emissions of the synthesis are lower than other synthesis methodologies. The Chinese government has placed a premium on cleaner air and water and may view such an approach as solving the dual issues of fuel substitution and reduction of CO2. Thus, the coupling of hydrogen generation from sustainable energies sources (Solar 175 / 509 GW) or wind (211/591.5 GW in 2019) may be an attractive approach, as this requires slightly less water than coal gasification. Due to the thermodynamic requirement of lower operating pressure and higher operating pressure, currently, there is no single operational approach, although some practice approaches (220 °C at 48 atm using copper) and zinc oxide/alumina are suggested for optimal performance.

Spillover of Workplace Bullying Into Family Incivility: Testing a Mediated Moderation Model in a Time-Lagged Study.

Utilizing temporally segregated field data from a sample of nurses (n = 251), the present study examined the relationship between workplace bullying and family incivility. We drew on spillover theory and the emotions literature to answer our research questions. We hypothesized that emotions would serve as an explanatory mechanism for the relationship between workplace bullying and family incivility. We further tested the moderating role of neuroticism on the relationship between emotions and family incivility. Our results indicated that workplace bullying triggered negative emotions, which in turn caused family incivility. Moreover, neuroticism moderated the positive relationship between emotions and family incivility.

Diabetes-related Knowledge, Medication Adherence, and Health-related Quality of Life: A Correlation Analysis.

CONTEXT: Even though positive treatment outcomes for type 2 diabetes mellitus (T2DM) are linked to disease knowledge and adherence to medications, inadequate knowledge, poor adherence, and resistance to lifestyle modifications are still common among patients. This situation has been a continuing dilemma for patients and healthcare providers, and these factors negatively affect the health-related quality of life (HRQoL) of patients. OBJECTIVE: The current study intended to evaluate the correlations between diabetes-related knowledge, medication adherence, and HRQoL among T2DM patients in Pakistan. DESIGN: The study was designed as a questionnaire-based, cross-sectional descriptive analysis, with participants being selected using a prevalence-based sampling method. SETTING: The study was conducted at four different healthcare institutes namely Sandeman Provincial Hospital, Bolan Medical Complex Hospital, Al-Khair Hospital and Sajid Hospital, Quetta city, Pakistan. PARTICIPANTS: Participants were 300 patients with T2DM who were receiving treatment at public and private healthcare institutes in Quetta, Pakistan. OUTCOME MEASURES: In addition to collection of demographics, the Urdu version of Michigan Diabetes Knowledge Test (MDKT-U), the Drug Attitude Inventory (DAI-10), and the EuroQol EQ-5D were used to assess diabetes-related knowledge, medication adherence and HRQoL, respectively. The relationships among the 3 variables were determined using the Spearmen rho correlation coefficient, and the results were interpreted using Cohen' criteria. SPSS v.20 was used for data analysis, and P < .05 was considered significant for all analysis. RESULTS: The mean diabetes-related knowledge score was 5.83 ± 1.92, indicating participants' lack of knowledge of T2DM. Moderate adherence was reported, with a mean adherence score of 4.94 ± 2.72. Additionally, the mean EQ-5D score was 0.48±0.36, and the mean Visual Analogue Score (VAS) was 54.58 ± 20.28, highlighting poor HRQoL. The Spearman's rho correlation coefficient indicated significant, moderate correlations among all variables (P < .05; r = 0.053-0.231). CONCLUSIONS: The study found limited diabetes-related knowledge, moderate medication adherence, and poor HRQoL among patients with T2DM in Pakistan. Nevertheless, a positive significant correlation revealed that a directly proportional change in one study variable can improve the others.

The Dark Side of Organizational Identification: A Multi-Study Investigation of Negative Outcomes.

After more than two decades of research on the positive side of organizational identification, researchers have begun to realize that it also has a dark side that needs immediate consideration. With support from social identity theory, the current study sheds light on the understudied role of the dark side of organizational identification by investigating its indirect effects on (a) psychological entitlement, (b) unethical pro-organizational behavior, and (c) pro-social rule-breaking through externally motivated organizational citizenship behavior, taking leader-member exchange as a boundary condition. Two surveys were conducted to test the proposed moderated mediation model. Data for the study 1 was collected from employees (N = 356) working in the service sector (i.e., Universities, Banks and Telecommunication Organizations), whereas responses for study 2 were taken from employees (N = 259) working in the hospitality industry. A time-lagged research design was selected for both surveys to avoid common method bias. The results demonstrate that organizational identification leads to adverse outcomes in the form of psychological entitlement, pro-social rule-breaking and unethical pro-organizational behavior through externally motivated organizational citizenship behavior. Furthermore, a high-quality leader-member exchange relationship enhances these indirect effects of organizational identification. Several theoretical and practical implications, along with limitations and future research directions, are also discussed.

Smart nanocrystal of indomethacin: Nanonization and characterization through top down method of media milling.

Indomethacin is potent and effective drug belongs to NSAID group having low bioavailability. To address this issue the novel method is Nanosuspensions which can be achieved through bottom up and top down methods. The drug concentration, batch size and crystallinity retention are the problems associated with bottom up method consequently top down method was applied. In current project batch size of 350 ml was prepared by mixing 3.5% of Indomethacin with polymer solution. Then it was introduced into Dena⌖ having 0.2µm yttrium reinforced zirconium beads. The effect of milling time was observed for sixty minutes. Stable nanocrystals with particle size of 161nm ±1.90 with PDI of 0.229 ±0.06 were produced. The DSC and PXRD confirmed the crystallinity of created nanocrystals. The pattern of particle size reduction was initially abrupt and then gradual. The two months Stability studies at 4°C and at 25°C revealed that polymers combination (PVP-K30, HPMC-6cps, SDS) were effective in marinating the stability. The SEM and TEM studies unfastened that nanocrystals were homogenously distributed with discrete crystalline morphology. The fabricated nanocrystals demonstrated marked dissolution rate compared to the raw and marketed formulations. It is demonstrated that it is useful for industry due to high drug concentration, large batch size and retention of distinct characteristics.

Conversion of extracted titanium tailing and waste glass to value-added porous glass ceramic with improved performances.

One of the major advances of this research is to produce porous glass ceramics (PGCs) via a feasible and cost-effective powder forming chemistry to convert solid wastes, extracted titanium tailing (ETT) and waste glass (WG) into the value-added PGCs. The maximum handling amount of ETT (30%) is determined from systematic experiments, based on the end use of these PGCs, which are manifested as controlled-crystalline porous structures of hybrid matrices. These multiscale porous networks are composed of a tunable pore size, high surface area and accessibility. The synthetic PGCs are found to display enhanced physical properties, as a result, the stewardship of their intrinsic chemical behaviors can be secured. To elucidate, the PGC shows an apparent density of 0.60 ± 0.01 g cm-3, a porosity of 76.0 ± 0.4%, a high compressive strength of 3.8 ± 0.2 MPa, an available water adsorption ratio of 4.4 ± 0.1%, a heat conductivity of 0.103 ± 0.003 W m-1 °C-1 and an applicable coefficient of thermal expansion ((5.43 ± 0.05) × 10-6 m m-1 °C -1). This study indicates that indeed the powder forming chemistry provide a simple method to advance the conversion of industry and municipal solid waste (ETT & WG) into value-added PGCs with improved physical and chemical properties.

Silver-Modified Ba1-xCo0.7Fe0.2Nb0.1O3-δ Perovskite Performing as a Cathodic Catalyst of Intermediate-Temperature Solid Oxide Fuel Cells.

A series of silver (Ag)-modified barium cobalt ferrous niobate (Ba1-xCo0.7Fe0.2Nb0.1O3-δ, BCFN) materials were fabricated using a solid-state method by doping silver cations into the A-site of this perovskite matrix (Ag-BCFN). The electrochemical analyses indicated that the Ag-BCFN cathodic catalysts performed superior to the nonmodified catalysts when applied in intermediate-temperature solid oxide fuel cells (IT-SOFCs). These Ag-BCFN cathodic catalysts displayed a cubic perovskite structure (PDF 75-0227, Pm3̅m, α = 90°) with a high degree of crystallinity, as demonstrated by X-ray powder diffraction analyses. It was also found that the in situ exsolution of the silver ion (Ag+) occurred, where 57.9% of doped Ag+ was reduced into metallic Ag particles with size ranging from 5 to 10 nm, as shown by electron microscopic analyses. The cerium gadolinium oxide (Ce0.9Gd0.1O2-δ) electrolyte-supported symmetrical half cell using different Ag-BCFN formulations of Ba1-xAgxCo0.7Fe0.2Nb0.1O3-δ as electrodes showed a polarization resistance as low as 0.233 Ω·cm2 and an exchange current density of 85.336 mA·cm-2 at 650 °C under ambient pressure. The improved electrochemical kinetics is anticipated to be attributed to two reasons: doping of ions (Ag+) in the A-site of perovskite and in situ exsolved silver nanoparticles (Ag NPs) along the edge and on the surface of BCFNs improving the mobile charge and electrical properties of the material. The remaining Ag+ in the A-site induced the electron redistribution, whereas the Ag NPs were found to increase the electrochemically active sites and enable the formation of a triple-phase boundary. These explanations were confirmed by the density functional theory study, indicating that Ag-doping processes lead to a decrease in the formation energy of oxygen vacancies from 1.72 to 1.42 eV upon the partial substitution of Ba2+ by Ag+ cations.