Displaying publications 561 - 580 of 6712 in total

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  1. Asghar MA, Khan MJ, Rizwan M, Mehmood RM, Kim SH
    Sensors (Basel), 2020 Jul 05;20(13).
    PMID: 32635609 DOI: 10.3390/s20133765
    Emotional awareness perception is a largely growing field that allows for more natural interactions between people and machines. Electroencephalography (EEG) has emerged as a convenient way to measure and track a user's emotional state. The non-linear characteristic of the EEG signal produces a high-dimensional feature vector resulting in high computational cost. In this paper, characteristics of multiple neural networks are combined using Deep Feature Clustering (DFC) to select high-quality attributes as opposed to traditional feature selection methods. The DFC method shortens the training time on the network by omitting unusable attributes. First, Empirical Mode Decomposition (EMD) is applied as a series of frequencies to decompose the raw EEG signal. The spatiotemporal component of the decomposed EEG signal is expressed as a two-dimensional spectrogram before the feature extraction process using Analytic Wavelet Transform (AWT). Four pre-trained Deep Neural Networks (DNN) are used to extract deep features. Dimensional reduction and feature selection are achieved utilising the differential entropy-based EEG channel selection and the DFC technique, which calculates a range of vocabularies using k-means clustering. The histogram characteristic is then determined from a series of visual vocabulary items. The classification performance of the SEED, DEAP and MAHNOB datasets combined with the capabilities of DFC show that the proposed method improves the performance of emotion recognition in short processing time and is more competitive than the latest emotion recognition methods.
  2. Halim ZA, Zolkefli MN, Kusairi S, Nor SM, Zawawi NHM, Sukemi MN
    Data Brief, 2021 Feb;34:106700.
    PMID: 33490327 DOI: 10.1016/j.dib.2020.106700
    Since the launch of the InvestSmart™ initiative in 2014, the government agencies in Malaysia have been actively engaging community and university students via their outreach programs to promote investment literacy. Given this background, the state of the investment literacy of Malaysian undergraduates and their readiness to invest is intriguing. Therefore, this article offers a dataset of Malaysian undergraduates' readiness to invest and the role that investment literacy and social influence play in their readiness to invest. Using a non-probability sampling technique, 500 undergraduate students in Malaysia were engaged to participate voluntarily in this survey. Descriptive statistics are presented in this paper. The dataset provides insights into the current state of investment literacy among Malaysian undergraduates, the sources of information on stock investment, and the readiness of these undergraduates to participate in the stock market.
  3. Sheeraz MI, Ungku Ahmad UN, Ishaq MI, Sarfraz M, Md Nor K
    Front Psychol, 2021;12:647845.
    PMID: 34177702 DOI: 10.3389/fpsyg.2021.647845
    The organizational justice terminology has had a long journey to become one of the significant contributors to organizational success. Recently, an intense global upsurge in the use of organizational justice terms in publications has forced us for this bibliometric analysis in order to look at the overall publications on organizational justice. The objective of the current research is to advance knowledge about organizational justice research trends using Scopus database and bibliometric analysis research. The analysis was performed to see the publication trends between the years 1941 and 2018; it used authors, journals, countries, academic discipline, research institutes/universities, and various keywords related to organizational justice as search words. After careful consideration and using multiple checkpoints for eliminating irrelevant studies, 5,650 research articles were analyzed. In the realm of organizational justice, procedural justice was the most frequently occurred among other dimensions. Moreover, variables such as organizational trust, job satisfaction, organizational commitment, citizenship behavior, ethics, and turnover are major concepts that occurred within organizational justice research. Some variables with infrequent occurrences, along with future recommendations and study limitations, are also discussed.
  4. Muhammad Yusuf AN, Raja Ali RA, Muhammad Nawawi KN, Mokhtar NM
    Malays J Pathol, 2020 Dec;42(3):377-384.
    PMID: 33361718
    INTRODUCTION: Recent studies have published the roles of exosomal miRNAs in the pathogenesis of various type of malignancies and can be developed as potential biomarkers for diagnostic, prognostic and therapeutic purposes. The aim of this study was to identify the expression level of selected miRNAs (miR-182, miR-301a, and miR-373) in exosomes of the serum and ascitic fluid in patients with non-alcoholic steatohepatitis (NASH)-related liver cirrhosis with or without hepatocellular carcinoma (HCC).

    MATERIALS AND METHODS: A literature search was performed to identify potential miRNAs involved in the pathogenesis of HCC. Unpaired serum and ascitic fluid were obtained from 52 patients with NASH related liver cirrhosis (n=26 for each group of with and without HCC). Exosomal miRNA was isolated from all samples. Expression levels of miR-182, miR-301a and miR- 373 were determined using quantitative real-time PCR.

    RESULTS: Serum-derived exosomal mir-182, miR-301a and miR-373 were significantly up-regulated with fold change of 1.77, 2.52, and 1.67 (p< 0.05) respectively in NASH-induced liver cirrhosis with HCC as compared to NASH-induced liver cirrhosis without HCC. We identified the expression levels of ascitic fluid-derived exosomal mir-182, miR-301a, and miR-373 were significantly up-regulated with fold change of 1.6, 1.94 and 2.13 respectively in NASH-induced liver cirrhosis with HCC as compared to NASH-induced liver cirrhosis without HCC (p <0.05). There was poor correlation expression of all the selected exosomal miRNA between serum- and ascitic fluid-derived in HCC group.

    CONCLUSIONS: This preliminary data showed significant increase in the expression levels of exosomal miR-182, miR-301a and miR- 373 in both serum and ascetic fluid suggesting the possible roles of these miRNAs as circulating biomarkers for NASH-induced liver cirrhosis with hepatocellular carcinoma.

  5. Malik A, Ashraf MAB, Khan MW, Zahid A, Shafique H, Waquar S, et al.
    Arch Environ Contam Toxicol, 2020 Apr;78(3):329-336.
    PMID: 31620805 DOI: 10.1007/s00244-019-00673-2
    The use of leaded gasoline adversely affects cardiovascular, nervous, and immune systems. Study projects to rule out different variables of prognostic importance in lead-exposed subjects. A total of 317 traffic wardens with 5 years of outdoor experience and Hb levels
  6. Sharif F, Mahmood F, Azhar MJ, Asif A, Zahid M, Muhammad N, et al.
    J Pak Med Assoc, 2019 May;69(5):632-639.
    PMID: 31105281
    OBJECTIVE: To compare the occurrence, distribution and management of clefts of lip and palate in local patients with the available data from India and China.

    METHODS: The retrospective study was conducted at the Interdisciplinary Research Centre in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan, and comprised data related to a three-month period from January to March 2015 at two medical centres in Lahore. Data from Pakistani centres was analysed based on province, gender, age and clefts of lip and palate conditions and Spearman's correlation matrix.

    RESULTS: Of the 1574 cases, 1061(67.4%) were from Punjab, 361(23%) Khyber Pakhtunkhwa, 85(5%) Sindh and 67(4.2%) were from Azad Jammu and Kashmir. The incidence of clefts of lip and palate was higher in males than females. There was higher awareness of the need for timely management in new borns with clefts of lip and palate. Some patients seeking secondary treatment were also being surgically corrected. There is no national registry of children born with cleft defect, making it difficult to assess the full scale of the problem..

    CONCLUSIONS: Based on available data, it is likely that there are many adults who have not been treated when younger..

  7. Butt SA, Bakar KA, Javaid N, Gharaei N, Ishmanov F, Afzal MK, et al.
    Sensors (Basel), 2019 Jan 26;19(3).
    PMID: 30691141 DOI: 10.3390/s19030510
    The key concerns to enhance the lifetime of IoT-enabled Underwater Wireless Sensor Networks (IoT-UWSNs) are energy-efficiency and reliable data delivery under constrained resource. Traditional transmission approaches increase the communication overhead, which results in congestion and affect the reliable data delivery. Currently, many routing protocols have been proposed for UWSNs to ensure reliable data delivery and to conserve the node's battery with minimum communication overhead (by avoiding void holes in the network). In this paper, adaptive energy-efficient routing protocols are proposed to tackle the aforementioned problems using the Shortest Path First (SPF) with least number of active nodes strategy. These novel protocols have been developed by integrating the prominent features of Forward Layered Multi-path Power Control One (FLMPC-One) routing protocol, which uses 2-hop neighbor information, Forward Layered Multi-path Power Control Two (FLMPC-Two) routing protocol, which uses 3-hop neighbor information and 'Dijkstra' algorithm (for shortest path selection). Different Packet Sizes (PSs) with different Data Rates (DRs) are also taken into consideration to check the dynamicity of the proposed protocols. The achieved outcomes clearly validate the proposed protocols, namely: Shortest Path First using 3-hop neighbors information (SPF-Three) and Breadth First Search with Shortest Path First using 3-hop neighbors information (BFS-SPF-Three). Simulation results show the effectiveness of the proposed protocols in terms of minimum Energy Consumption (EC) and Required Packet Error Rate (RPER) with a minimum number of active nodes at the cost of affordable delay.
  8. Ali M, Naureen H, Tariq MH, Farrukh MJ, Usman A, Khattak S, et al.
    Infect Drug Resist, 2019;12:493-499.
    PMID: 30881054 DOI: 10.2147/IDR.S187836
    Background: Intensive care units (ICUs) are specialized units where patients with critical conditions are admitted for getting specialized and individualized medical treatment. High mortality rates have been observed in ICUs, but the exact reason and factors affecting the mortality rates have not yet been studied in the local population in Pakistan.

    Aim: This study was aimed to determine rational use of antibiotic therapy in ICU patients and its impact on clinical outcomes and mortality rate.

    Methods: This was a retrospective, longitudinal (cohort) study including 100 patients in the ICU of the largest tertiary care hospital of the capital city of Pakistan.

    Results: It was observed that empiric antibiotic therapy was initiated in 68% of patients, while culture sensitivity test was conducted for only 19% of patients. Thirty-percent of patients developed nosocomial infections and empiric antibiotic therapy was not initiated for those patients (P<0.05). Irrational antibiotic prescribing was observed in 86% of patients, and among them, 96.5% mortality was observed (P<0.05). The overall mortality rate was 83%; even higher mortality rates were observed in patients on a ventilator, patients with serious drug-drug interactions, and patients prescribed with irrational antibiotics or nephrotoxic drugs. Adverse clinical outcomes leading to death were observed to be significantly associated (P<0.05) with irrational antibiotic prescribing, nonadjustment of doses of nephrotoxic drugs, use of steroids, and major drug-drug interactions.

    Conclusion: It was concluded that empiric antibiotic therapy is beneficial in patients and leads to a reduction in the mortality rate. Factors including irrational antibiotic selection, prescribing contraindicated drug combinations, and use of nephrotoxic drugs were associated with high mortality rate and poor clinical outcomes.

  9. Ullah Z, Nawi I, Witjaksono G, Tansu N, Khattak MI, Junaid M, et al.
    Sensors (Basel), 2020 Jun 04;20(11).
    PMID: 32512718 DOI: 10.3390/s20113187
    Plasmonic antennas are attractive optical components of the optoelectronic devices, operating in the far-infrared regime for sensing and imaging applications. However, low optical absorption hinders its potential applications, and their performance is limited due to fixed resonance frequency. In this article, a novel gate tunable graphene-metal hybrid plasmonic antenna with stacking configuration is proposed and investigated to achieve tunable performance over a broad range of frequencies with enhanced absorption characteristics. The hybrid graphene-metal antenna geometry is built up with a hexagon radiator that is supported by the Al2O3 insulator layer and graphene reflector. This stacked structure is deposited in the high resistive Si wafer substrate, and the hexagon radiator itself is a sandwich structure, which is composed of gold hexagon structure and two multilayer graphene stacks. The proposed antenna characteristics i.e., tunability of frequency, the efficiency corresponding to characteristics modes, and the tuning of absorption spectra, are evaluated by full-wave numerical simulations. Besides, the unity absorption peak that was realized through the proposed geometry is sensitive to the incident angle of TM-polarized incidence waves, which can flexibly shift the maxima of the absorption peak from 30 THz to 34 THz. Finally, an equivalent resonant circuit model for the investigated antenna based on the simulations results is designed to validate the antenna performance. Parametric analysis of the proposed antenna is carried out through altering the geometric parameters and graphene parameters in the Computer Simulation Technology (CST) studio. This clearly shows that the proposed antenna has a resonance frequency at 33 THz when the graphene sheet Fermi energy is increased to 0.3 eV by applying electrostatic gate voltage. The good agreement of the simulation and equivalent circuit model results makes the graphene-metal antenna suitable for the realization of far-infrared sensing and imaging device containing graphene antenna with enhanced performance.
  10. Iqbal MO, Naeem M, Mumtaz A, Ahmed MM, Ahmad A, Riaz R, et al.
    Am J Transl Res, 2022;14(10):7178-7188.
    PMID: 36398251
    OBJECTIVE: Jatropha mollissima is one of the most valuable medicinal plants used for the treatment of hepatic disorders. It is evident that 500 mg/kg of sodium valproate causes the hepatotoxicity, ototoxicity, gastrotoxicity, bone marrow suppression, and inflammation. This study was designed to explore the medicinal uses of Jatropha mollissima in hepatic disorders.

    METHODS: Hepatotoxicity was induced in Wister albino rats by injecting sodium valproate at the rate of 500 mg/kg once daily for fourteen days. Six male rats, each weighing 220-270 g, were placed into four separate groups for the study. The first group was treated with normal saline. Treatment of the second group was carried out by SVP for four days consecutively together with saline for three weeks. Group three and four were treated with sodium valproate and Jm hydroalcoholic extract applied in the concentrations of the 200 mg/kg and 400 mg/kg for the period of the three weeks. Phytochemical screening and HPLC analysis were conducted to identify the phytochemical nature and polyphenols in extract, respectively. DPPH, SOD, and NO tests were performed to measure the antioxidant activity.

    RESULTS: With the initial dose of treatments to rats, anatomic, physiological, or histopathologic abnormalities were detected. After three weeks, extract of Jatropha mollissima was used to treat the valproic acid-induced hepatotoxicity (P < 0.05).

    CONCLUSION: It was concluded that sodium valproate (SVP) and Jm extract were administered together. The hepatoprotective effects were extraordinarily high, with high concentrations of 400 mg/kg.

  11. Haseeb MT, Hussain MA, Bashir S, Ashraf MU, Ahmad N
    Drug Dev Ind Pharm, 2017 Mar;43(3):409-420.
    PMID: 27808567 DOI: 10.1080/03639045.2016.1257017
    CONTEXT: Advancement in technology has transformed the conventional dosage forms to intelligent drug delivery systems. Such systems are helpful for targeted and efficient drug delivery with minimum side effects. Drug release from these systems is governed and controlled by external stimuli (pH, enzymes, ions, glucose, etc.). Polymeric biomaterial having stimuli-responsive properties has opened a new area in drug delivery approach.

    OBJECTIVE: Potential of a polysaccharide (rhamnogalacturonan)-based hydrogel from Linseeds (Linum usitatissimum L.) was investigated as an intelligent drug delivery material.

    MATERIALS AND METHODS: Different concentrations of Linseed hydrogel (LSH) were used to prepare caffeine and diacerein tablets and further investigated for pH and salt solution-responsive swelling, pH-dependent drug release, and release kinetics. Morphology of tablets was observed using SEM.

    RESULTS: LSH tablets exhibited dynamic swelling-deswelling behavior with tendency to swell at pH 7.4 and in deionized water while deswell at pH 1.2, in normal saline and ethanol. Consequently, pH controlled release of the drugs was observed from tablets with lower release (<10%) at pH 1.2 and higher release at pH 6.8 and 7.4. SEM showed elongated channels in swollen then freeze-dried tablets.

    DISCUSSION: The drug release was greatly influenced by the amount of LSH in the tablets. Drug release from LSH tablets was governed by the non-Fickian diffusion.

    CONCLUSIONS: These finding indicates that LSH holds potential to be developed as sustained release material for tablet.

  12. Hassan SI, Alam MM, Zia MYI, Rashid M, Illahi U, Su'ud MM
    Sensors (Basel), 2022 Nov 07;22(21).
    PMID: 36366269 DOI: 10.3390/s22218567
    Rice is one of the vital foods consumed in most countries throughout the world. To estimate the yield, crop counting is used to indicate improper growth, identification of loam land, and control of weeds. It is becoming necessary to grow crops healthy, precisely, and proficiently as the demand increases for food supplies. Traditional counting methods have numerous disadvantages, such as long delay times and high sensitivity, and they are easily disturbed by noise. In this research, the detection and counting of rice plants using an unmanned aerial vehicle (UAV) and aerial images with a geographic information system (GIS) are used. The technique is implemented in the area of forty acres of rice crop in Tando Adam, Sindh, Pakistan. To validate the performance of the proposed system, the obtained results are compared with the standard plant count techniques as well as approved by the agronomist after testing soil and monitoring the rice crop count in each acre of land of rice crops. From the results, it is found that the proposed system is precise and detects rice crops accurately, differentiates from other objects, and estimates the soil health based on plant counting data; however, in the case of clusters, the counting is performed in semi-automated mode.
  13. Khan QU, Siddique MI, Sarfraz M, Rehman K, Sohail MF, Katas H
    PMID: 34936317 DOI: 10.1615/CritRevTherDrugCarrierSyst.2021036885
    Orodispersible films (ODFs) have served as an emerging platform for the delivery of drugs in a convenient way. They have numerous advantages, the significant one is simplicity of administration for special populations such as pediatric and geriatric as well as patients with swallowing difficulty. Besides, the advantages include accurate dosing and fast action. The ODFs are efficiently designed with detailed knowledge of drug and polymers as well as a suitable selection of method. Many conventional and advance formulation strategies have been used for the development of ODFs. The biopharmaceutical concerns of active pharmaceutical ingredients (APIs) are given in this review in light of the fact that ODFs can be utilized to increase the bioavailability of APIs. The basic critical issues such as good mechanical properties, water solubility of the API and taste masking are very important to be considered during the development of ODFs. The knowledge of critical quality concerns of ODFs will be helpful in the future development of ODF. As ODFs remain in the mouth until complete degradation, taste, texture and mouth-feel are the qualities that in all respects liable for acceptability of the patient. An assortment of packaging choices is also accessible for ODFs. This review focuses on the different critical concerns of ODF related to composition, bio-pharmaceutical, manufacturing, quality tests, packaging and acceptability. Additionally, potential barriers in the ODFs development are discussed in details. Therefore, this review is an informative bundle of ODFs concerns from the product development stage to the end-user acceptability.
  14. Ibraheem M, Butt F, Waqas RM, Hussain K, Tufail RF, Ahmad N, et al.
    Materials (Basel), 2021 Nov 15;14(22).
    PMID: 34832298 DOI: 10.3390/ma14226890
    The purpose of this research is to study the effects of quarry rock dust (QRD) and steel fibers (SF) inclusion on the fresh, mechanical, and microstructural properties of fly ash (FA) and ground granulated blast furnace slag (SG)-based geopolymer concrete (GPC) exposed to elevated temperatures. Such types of ternary mixes were prepared by blending waste materials from different industries, including QRD, SG, and FA, with alkaline activator solutions. The multiphysical models show that the inclusion of steel fibers and binders can enhance the mechanical properties of GPC. In this study, a total of 18 different mix proportions were designed with different proportions of QRD (0%, 5%, 10%, 15%, and 20%) and steel fibers (0.75% and 1.5%). The slag was replaced by different proportions of QRD in fly ash, and SG-based GPC mixes to study the effect of QRD incorporation. The mechanical properties of specimens, i.e., compressive strength, splitting tensile strength, and flexural strength, were determined by testing cubes, cylinders, and prisms, respectively, at different ages (7, 28, and 56 days). The specimens were also heated up to 800 °C to evaluate the resistance of specimens to elevated temperature in terms of residual compressive strength and weight loss. The test results showed that the mechanical strength of GPC mixes (without steel fibers) increased by 6-11%, with an increase in QRD content up to 15% at the age of 28 days. In contrast, more than 15% of QRD contents resulted in decreasing the mechanical strength properties. Incorporating steel fibers in a fraction of 0.75% by volume increased the compressive, tensile, and flexural strength of GPC mixes by 15%, 23%, and 34%, respectively. However, further addition of steel fibers at 1.5% by volume lowered the mechanical strength properties. The optimal mixture of QRD incorporated FA-SG-based GPC (QFS-GPC) was observed with 15% QRD and 0.75% steel fibers contents considering the performance in workability and mechanical properties. The results also showed that under elevated temperatures up to 800 °C, the weight loss of QFS-GPC specimens persistently increased with a consistent decrease in the residual compressive strength for increasing QRD content and temperature. Furthermore, the microstructure characterization of QRD blended GPC mixes were also carried out by performing scanning electron microscopy (SEM), X-ray diffraction (XRD), and energy dispersive spectroscopy (EDS).
  15. Aizamddin MF, Mahat MM, Zainal Ariffin Z, Samsudin I, Razali MSM, Amir M'
    Polymers (Basel), 2021 Nov 05;13(21).
    PMID: 34771378 DOI: 10.3390/polym13213822
    Silver (Ag) particles have sparked considerable interest in industry and academia, particularly for health and medical applications. Here, we present the "green" and simple synthesis of an Ag particle-based silicone (Si) thin film for medical device applications. Drop-casting and peel-off techniques were used to create an Si thin film containing 10-50% (v/v) of Ag particles. Electro impedance spectroscopy (EIS), X-ray diffraction analysis (XRD), scanning electron microscopy (SEM), energy dispersive X-ray (EDX), and tensile tests were used to demonstrate the electrical conductivity, crystallinity, morphology-elemental, and mechanical properties, respectively. The oriented crystalline structure and excellent electronic migration explained the highest conductivity value (1.40 × 10-5 S cm-1) of the 50% Ag-Si thin film. The findings regarding the evolution of the conductive network were supported by the diameter and distribution of Ag particles in the Si film. However, the larger size of the Ag particles in the Si film resulted in a lower tensile stress of 68.23% and an elongation rate of 68.25% compared to the pristine Si film. The antibacterial activity of the Ag-Si film against methicillin-resistant Staphylococcus aureus (MRSA), Bacillus cereus (B. cereus), Klebsiella pneumoniae (K. pneumoniae), and Pseudomonas aeruginosa (P. aeruginosa) was investigated. These findings support Si-Ag thin films' ability to avoid infection in any medical device application.
  16. Yunus U, Zulfiqar MA, Ajmal M, Bhatti MH, Chaudhry GE, Muhammad TST, et al.
    Biomed Mater, 2020 09 26;15(6):065004.
    PMID: 32442994 DOI: 10.1088/1748-605X/ab95e1
    Gemcitabine (GEM) is used to treat various cancers such as breast, pancreatic, non-small lung, ovarian, bladder, and cervical cancers. GEM, however, has the problem of non-selectivity. Water-soluble, fluorescent, and mono-dispersed carbon dots (CDs) were fabricated by ultrasonication of sucrose. The CDs were further conjugated with GEM through amide linkage. The physical and morphological properties of these carbon dot-gemcitabine (CD-GEM) conjugates were determined using different analytical techniques. In vitro cytotoxicity and apoptosis studies of CD-GEM conjugates were evaluated by various bioactivity assays on human cell lines, MCF-7 (human breast adenocarcinoma), and HeLa (cervical cancer) cell lines. The results of kinetic studies have shown a maximum drug loading efficacy of 17.0 mg of GEM per 50.0 mg of CDs. The CDs were found biocompatible, and the CD-GEM conjugates exhibited excellent bioactivity and exerted potent cytotoxicity against tumor cells with an IC50 value of 19.50 μg ml-1 in HeLa cells, which is lower than the IC50 value of pure GEM (∼20.10 μg ml-1). In vitro studies on CD-GEM conjugates demonstrated the potential to replace the conventional administration of GEM. CD-GEM conjugates are more stable, have a higher aqueous solubility, and are more cytotoxic as compared to GEM alone. The CD-GEM conjugates show reduced side effects in the normal cells along with excellent cellular uptake. Hence, CD-GEM conjugates are more selective toward cancerous cell lines as compared to non-cancerous cells. Also, the CD-GEM conjugates successfully induced early and late apoptosis in cancer cell lines and might be effective and safe to use for in vivo applications.
  17. Alwi A, Zulkifli NW, Sukiman NL, Yusoff A, Zakaria Z, Jamshaid M, et al.
    Environ Sci Pollut Res Int, 2019 Apr;26(12):11815-11826.
    PMID: 30811022 DOI: 10.1007/s11356-019-04603-6
    The availability of natural energy resources and the environmental issues are the most significant issues that are often highlighted by the world communities. With regard to these problems, isobutanol is a higher chain alcohol with four carbons which can be derived from biomass resources and it is potential to become an alternative fuel source besides the biodiesel for a diesel engine. The aim of this study is to evaluate the effect of isobutanol with Calophyllum inophyllum methyl ester and diesel as the ternary blend on physicochemical properties, engine performance, and emission characteristics. Five different fuel blends containing Calophyllum inophyllum biodiesel and isobutanol were tested on a single-cylinder direct injection diesel engine at different engine load of brake mean effective pressure. The physicochemical properties of the fuel blends were measured and then compared with neat diesel. The results indicate that the blend containing isobutanol and CIME gives a slight increase in BSEC and EGT and a minimal drop in BTE as compared to that of neat diesel. Besides that, the tested blends show a reduction of carbon monoxide and unburned hydrocarbon emissions. Meanwhile, all the fuel blends show a minimal increase in carbon dioxide and nitrogen oxides emissions, compared to that of neat diesel. Isobutanol can be proved as a preferred substitute for biodiesel and diesel fuels to achieve desired engine performance and emissions level.
  18. Kamaruddin ZH, Jumaidin R, Kamaruddin ZH, Asyraf MRM, Razman MR, Khan T
    Polymers (Basel), 2023 May 18;15(10).
    PMID: 37242939 DOI: 10.3390/polym15102364
    Cymbopogan citratus fibre (CCF) is an agricultural waste plant derived from a natural cellulosic source of fibre that can be used in various bio-material applications. This paper beneficially prepared thermoplastic cassava starch/palm wax blends incorporated with Cymbopogan citratus fibre (TCPS/PW/CCF) bio-composites at different CCF concentrations of 0, 10, 20, 30, 40, 50 and 60 wt%. In contrast, palm wax loading remained constant at 5 wt% concentration using the hot moulding compression method. TCPS/PW/CCF bio-composites were characterised in the present paper via their physical and impact properties. The addition of CCF significantly improved impact strength by 50.65% until 50 wt% CCF loading. Furthermore, it was observed that the inclusion of CCF resulted in a little decrement in biocomposite solubility compared to neat TPCS/PW biocomposite from 28.68% to 16.76%. Water absorption showed higher water resistance in the composites incorporating 60 wt.% fibre loading. The TPCS/PW/CCF biocomposites with different fibre contents had 11.04-5.65% moisture content, which was lower than the control biocomposite. The thickness of all samples decreased gradually with increasing fibre content. Overall, these findings provide evidence that CCF waste can be utilised as a high-quality filler in biocomposites due to its diverse characteristics, including improving the properties of biocomposites and strengthening their structural integrity.
  19. Gul R, Hanif MU, Gul F, Rehman HM, Saleem M, Ahmad MS, et al.
    Mol Biotechnol, 2023 Jul;65(7):1062-1075.
    PMID: 36437440 DOI: 10.1007/s12033-022-00612-y
    The current study focuses on molecular cloning, expression and structural characterization of growth hormone-receptor (GHR) and its extracellular domain as growth hormone binding protein (GHBP) from the liver of Nili-Ravi buffalo (Bubalus bubalis; Bb). RNA was isolated, genes were amplified by reverse transcriptase-polymerase chain reaction and sequence was characterized. The BbGHR sequence showed three amino acid variations in the extracellular domain when compared with Indian BbGHR. For the production of full length BbGHR and BbGHBP in Escherichia coli (E. coli) BL21 (RIPL) Codon Plus, expression plasmids were constructed under the control of T7lac promoter and isopropyl β-D thiogalactopyranoside was used as an inducer. BbGHR and BbGHBP were expressed as inclusion bodies at ~ 40% and > 30% of the total E. coli proteins, respectively. The BbGHBP was solubilized and refolded by dilution method using cysteine-cystine redox potential. The recombinant BbGHBP was purified and biological activity was checked on HeLa cell lines showing increase cell proliferation in the presence of ovine GH (oGH), hence justifying the increase in the half-life of GH in the presence of BbGHBP. For the molecular interactions of oGH-BbGHBP multiple docking programs were employed to explore the subsequent interactions which showed high binding affinity and presence of large number of hydrogen bonds. Molecular Dynamics studies performed to examine the stability of proteins and exhibited stable structures along with favorable molecular interactions. This study has described the sequence characterization of BbGHR in Nili-Ravi buffaloes and hence provided the basis for the assessment of GH-GHR binding in other Bovidae species.
  20. Ain QU, Khan MA, Yaqoob MM, Khattak UF, Sajid Z, Khan MI, et al.
    Diagnostics (Basel), 2023 Jul 04;13(13).
    PMID: 37443658 DOI: 10.3390/diagnostics13132264
    Cancer, including the highly dangerous melanoma, is marked by uncontrolled cell growth and the possibility of spreading to other parts of the body. However, the conventional approach to machine learning relies on centralized training data, posing challenges for data privacy in healthcare systems driven by artificial intelligence. The collection of data from diverse sensors leads to increased computing costs, while privacy restrictions make it challenging to employ traditional machine learning methods. Researchers are currently confronted with the formidable task of developing a skin cancer prediction technique that takes privacy concerns into account while simultaneously improving accuracy. In this work, we aimed to propose a decentralized privacy-aware learning mechanism to accurately predict melanoma skin cancer. In this research we analyzed federated learning from the skin cancer database. The results from the study showed that 92% accuracy was achieved by the proposed method, which was higher than baseline algorithms.
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