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  1. Fulltext Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP
    Nafees A, Javed MF, Khan S, Nazir K, Farooq F, Aslam F, et al.
    Materials (Basel), 2021 Dec 08;14(24).
    PMID: 34947124 DOI: 10.3390/ma14247531
    Silica fume (SF) is a mineral additive that is widely used in the construction industry when producing sustainable concrete. The integration of SF in concrete as a partial replacement for cement has several evident benefits, including reduced CO2 emissions, cost-effective concrete, increased durability, and mechanical qualities. As environmental issues continue to grow, the development of predictive machine learning models is critical. Thus, this study aims to create modelling tools for estimating the compressive and cracking tensile strengths of silica fume concrete. Multilayer perceptron neural networks (MLPNN), adaptive neural fuzzy detection systems (ANFIS), and genetic programming are all used (GEP). From accessible literature data, a broad and accurate database of 283 compressive strengths and 149 split tensile strengths was created. The six most significant input parameters were cement, fine aggregate, coarse aggregate, water, superplasticizer, and silica fume. Different statistical measures were used to evaluate models, including mean absolute error, root mean square error, root mean squared log error and the coefficient of determination. Both machine learning models, MLPNN and ANFIS, produced acceptable results with high prediction accuracy. Statistical analysis revealed that the ANFIS model outperformed the MLPNN model in terms of compressive and tensile strength prediction. The GEP models outperformed all other models. The predicted values for compressive strength and splitting tensile strength for GEP models were consistent with experimental values, with an R2 value of 0.97 for compressive strength and 0.93 for splitting tensile strength. Furthermore, sensitivity tests revealed that cement and water are the determining parameters in the growth of compressive strength but have the least effect on splitting tensile strength. Cross-validation was used to avoid overfitting and to confirm the output of the generalized modelling technique. GEP develops an empirical expression for each outcome to forecast future databases' features to promote the usage of green concrete.
  2. Fulltext Knowledge management process, knowledge based innovation: Does academic researcher's productivity mediate during the pandemic of covid-19?
    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. Fulltext Pattern of medication utilization in hospitalized patients with COVID-19 in three District Headquarters Hospitals in the Punjab province of Pakistan
    Mustafa ZU, Kow CS, Salman M, Kanwal M, Riaz MB, Parveen S, et al.
    Explor Res Clin Soc Pharm, 2022 Mar;5:100101.
    PMID: 34977851 DOI: 10.1016/j.rcsop.2021.100101
    Purpose: In Pakistan, a wide range of repurposed drugs are recommended to manage hospitalized patients with COVID-19. Therefore, the current study was conducted to evaluate the pattern of utilization of repurposed drugs and other potential therapeutic options among hospitalized patients with COVID-19 in Pakistan.

    Methods: This retrospective, multicenter, descriptive study enrolled consecutive hospitalized patients with COVID-19 who were admitted between March 1, 2021, and April 30, 2021, from three District Headquarter Hospitals in the Punjab province of Pakistan. We described patient and clinical characteristics and medications, stratified by COVID-19 severity during hospitalization: mild, moderate, and severe. In addition, an analytical study of drug utilization was conducted.

    Findings: A total of 444 hospitalized patients with COVID-19 were included. Remdesvir, corticosteroids, antibiotics, and antithrombotics were administered to 45.0%, 93.9%, 84.9%, and 60.1% of patients, respectively. Specifically, dexamethasone was the most commonly used corticosteroid among the included patients (n = 405; 91.2%), irrespective of their clinical severity. Only 60.1% of patients hospitalized with COVID-19 in our cohort received antithrombotic therapy, and the prevalence of use was especially low (27.8%) in patients with mild illness. Of 444 patientsscreened, 399 (89.9%) patients had been discharged, and 45 patients (10.1%) died.

    Implications: We provided an important glimpse into the utilization patterns of several medications of interest for the treatment of COVID-19 in Pakistan, which had not been entirely evidence-based, especially concerning systemic corticosteroids and antibiotics.

  4. On the discrimination between facial creams of different brands using Raman Spectroscopy and partial least squares discriminant analysis for forensic application
    Asri MNM, Verma R, Ibrahim MH, Nor NAM, Sharma V, Ismail D
    Sci Justice, 2021 Nov;61(6):687-696.
    PMID: 34802642 DOI: 10.1016/j.scijus.2021.08.006
    Determining the origin of cosmetic traces is an important aspect of forensic investigations, that helps linking a suspect to a crime. Such type of evidence can help further narrow down the undergoing investigations. This paper reports the first use of Raman Spectroscopy (RS) coupled with the exploratory principal component analysis (PCA) and supervised partial least squares-discriminant analysis (PLS-DA) in facial creams. 40 facial cream samples of 8 different brands were studied in this work. Preliminary assessments through visual inspection of their Raman spectra revealed the presence of oxides, titanium dioxide, castor seed oil, and beeswax. Also, the peaks of alkyne groups were indicative of the presence of talc or mica compounds. The exploratory PCA correctly segregated the samples into 8 clusters and the supervised PLS-DA model correctly classified them into 8 classes. Further evaluation of the performance of the trained PLS-DA model resulted in perfect classification shown by the receiver operating characteristic (ROC) curves. The PLS-DA model also resulted in 100% accuracy of correctly assigning the brand on the face wipes on each of the five substrates viz. cotton, dry and wet tissue paper, nylon substrate, and polyester. This validation was done treating these samples as unknowns. The study has a potential for use under actual forensic casework conditions.
  5. Adsorptive Removal of Copper (II) Ions from Aqueous Solution Using a Magnetite Nano-Adsorbent from Mill Scale Waste: Synthesis, Characterization, Adsorption and Kinetic Modelling Studies
    Sulaiman S, Azis RS, Ismail I, Man HC, Yusof KFM, Abba MU, et al.
    Nanoscale Res Lett, 2021 Nov 27;16(1):168.
    PMID: 34837537 DOI: 10.1186/s11671-021-03622-y
    In this study, magnetite nano-adsorbent (MNA) was extracted from mill scale waste products, synthesized and applied to eliminate Cu2+ from an aqueous solution. Mill scale waste product was ground using conventional milling and impacted using high-energy ball milling (HEBM) for varying 3, 5, and 7 milling hours. In this regard, the prepared MNA was investigated using X-ray diffraction (XRD), high-resolution transmission electron microscope (HRTEM), field emission scanning electron microscopy-energy-dispersive X-ray spectroscopy (FESEM-EDS), UV-Vis spectroscopy, Fourier-transform infrared (FTIR), Brunauer-Emmett-Teller (BET) and zeta potential. The resultant MNA-7 h milling time displayed a crystalline structure with irregular shapes of 11.23 nm, specific surface area of 5.98 m2g-1, saturation magnetization, Ms of 8.35 emug-1, and isoelectric point charge at pH 5.4. The optimum adsorption capacity, qe of 4.42 mg.g-1 for the removal of Cu2+ ions was attained at 120 min of contact time. The experimental data were best fitted to the Temkin isotherm model. A comparison between experimental kinetic studies and the theoretical aspects showed that the pseudo-second-order matched the experimental trends with a correlation coefficient of (R2 > 0.99). Besides, regeneration efficiency of 70.87% was achieved after three cycles of reusability studies. The MNA offers a practical, efficient, low-cost approach to reutilize mill scale waste products and provide ultra-fast separation to remove Cu2+ from water.
  6. Fulltext In vivo assessment of reversing Cisplatin-Induced nephrotoxicity using Jatropha mollissima crude extract and its potential cytotoxicity
    Omer Iqbal M, Bashir Yahya E, Andleeb S, Masood Ahmed M, Umar Javaid M, Shakeel W, et al.
    Saudi J Biol Sci, 2021 Dec;28(12):7373-7378.
    PMID: 34867040 DOI: 10.1016/j.sjbs.2021.08.057
    Jatropha mollissima is one of the ancient plants that known in Africa, Asia and Latin America for its high medicinal value. Previously we showed that the ethanolic leaves extract of J. mollissima was able to reverse the aminoglycoside antibiotics induced nephrotoxicity in only two weeks of administration. Here, we evaluated the phytochemicals, antioxidant and in vivo cytotoxicity of the ethanolic leaves extract in addition to the ability of reversing Cisplatin-induced nephrotoxicity in wistar albino rats. The results of phytochemical analysis showed the presence of flavonoids, phenols, tannins and saponins, with significantly high antioxidant activity. The treated rats did not show any cytotoxic signs; no anatomical, physiological and/or histopathological changes compared with the control group. Kidney, spleen and liver tissues appeared normal after two weeks administration of the maximum dose, with a possible alteration in distal tubules, proximal tubules and glomerulus of the kidney tissues. The results of nephrotoxicity and kidney function suggest promising potential for J. mollissima in kidney damage treatment.
  7. Fulltext Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence
    Khan S, Ali Khan M, Zafar A, Javed MF, Aslam F, Musarat MA, et al.
    Materials (Basel), 2021 Dec 22;15(1).
    PMID: 35009186 DOI: 10.3390/ma15010039
    The object of this research is concrete-filled steel tubes (CFST). The article aimed to develop a prediction Multiphysics model for the circular CFST column by using the Artificial Neural Network (ANN), the Adaptive Neuro-Fuzzy Inference System (ANFIS) and the Gene Expression Program (GEP). The database for this study contains 1667 datapoints in which 702 are short CFST columns and 965 are long CFST columns. The input parameters are the geometric dimensions of the structural elements of the column and the mechanical properties of materials. The target parameters are the bearing capacity of columns, which determines their life cycle. A Multiphysics model was developed, and various statistical checks were applied using the three artificial intelligence techniques mentioned above. Parametric and sensitivity analyses were also performed on both short and long GEP models. The overall performance of the GEP model was better than the ANN and ANFIS models, and the prediction values of the GEP model were near actual values. The PI of the predicted Nst by GEP, ANN and ANFIS for training are 0.0416, 0.1423, and 0.1016, respectively, and for Nlg these values are 0.1169, 0.2990 and 0.1542, respectively. Corresponding OF values are 0.2300, 0.1200, and 0.090 for Nst, and 0.1000, 0.2700, and 0.1500 for Nlg. The superiority of the GEP method to the other techniques can be seen from the fact that the GEP technique provides suitable connections based on practical experimental work and does not rely on prior solutions. It is concluded that the GEP model can be used to predict the bearing capacity of circular CFST columns to avoid any laborious and time-consuming experimental work. It is also recommended that further research should be performed on the data to develop a prediction equation using other techniques such as Random Forest Regression and Multi Expression Program.
  8. Fulltext Development of Biodegradable Bio-Based Composite for Bone Tissue Engineering: Synthesis, Characterization and In Vitro Biocompatible Evaluation
    Khan MUA, Razak SIA, Ansari MNM, Zulkifli RM, Ahmad Zawawi N, Arshad M
    Polymers (Basel), 2021 Oct 20;13(21).
    PMID: 34771168 DOI: 10.3390/polym13213611
    Several significant advancements in the field of bone regenerative medicine have been made in recent years. However, therapeutic options, such as bone grafts, have several drawbacks. There is a need to develop an adequate bone substitute. As a result, significant bone defects/injuries pose a severe challenge for orthopaedic and reconstructive bone tissue. We synthesized polymeric composite material from arabinoxylan (ARX), β-glucan (BG), nano-hydroxyapatite (nHAp), graphene oxide (GO), acrylic acid (AAc) through free radical polymerization and porous scaffold fabricated using the freeze-drying technique. These fabricated porous scaffolds were then coated with chitosan solution to enhance their biological activities. The complex structure of BG, nHAp, GO was studied through various characterization and biological assays. The structural, morphological, wetting and mechanical analyses were determined using FT-IR, XRD, XPS, SEM/EXD, water contact angle and UTM. The swelling (aqueous and PBS media) and degradation (PBS media) observed their behavior in contact with body fluid. The biological activities were conducted against mouse pre-osteoblast cell lines. The result found that BGH3 has desirable morphological, structural with optimum swelling, degradation, and mechanical behavior. It was also found to be cytocompatible against MC3T3-E1 cell lines. The obtained results confirmed that the fabricated polymeric scaffolds would be a potential bone substitute to regenerate defective bone with different loading bearing applications for bone tissue engineering.
  9. Fulltext Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
    Podder KK, Chowdhury MEH, Tahir AM, Mahbub ZB, Khandakar A, Hossain MS, et al.
    Sensors (Basel), 2022 Jan 12;22(2).
    PMID: 35062533 DOI: 10.3390/s22020574
    A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and deep learning research because sign language recognition accuracy may vary on the skin tone, hand orientation, and background. This research has used deep machine learning models for accurate and reliable BdSL Alphabets and Numerals using two well-suited and robust datasets. The dataset prepared in this study comprises of the largest image database for BdSL Alphabets and Numerals in order to reduce inter-class similarity while dealing with diverse image data, which comprises various backgrounds and skin tones. The papers compared classification with and without background images to determine the best working model for BdSL Alphabets and Numerals interpretation. The CNN model trained with the images that had a background was found to be more effective than without background. The hand detection portion in the segmentation approach must be more accurate in the hand detection process to boost the overall accuracy in the sign recognition. It was found that ResNet18 performed best with 99.99% accuracy, precision, F1 score, sensitivity, and 100% specificity, which outperforms the works in the literature for BdSL Alphabets and Numerals recognition. This dataset is made publicly available for researchers to support and encourage further research on Bangla Sign Language Interpretation so that the hearing and speech-impaired individuals can benefit from this research.
  10. Fulltext An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network
    Ali A, Almaiah MA, Hajjej F, Pasha MF, Fang OH, Khan R, et al.
    Sensors (Basel), 2022 Jan 12;22(2).
    PMID: 35062530 DOI: 10.3390/s22020572
    The IoT refers to the interconnection of things to the physical network that is embedded with software, sensors, and other devices to exchange information from one device to the other. The interconnection of devices means there is the possibility of challenges such as security, trustworthiness, reliability, confidentiality, and so on. To address these issues, we have proposed a novel group theory (GT)-based binary spring search (BSS) algorithm which consists of a hybrid deep neural network approach. The proposed approach effectively detects the intrusion within the IoT network. Initially, the privacy-preserving technology was implemented using a blockchain-based methodology. Security of patient health records (PHR) is the most critical aspect of cryptography over the Internet due to its value and importance, preferably in the Internet of Medical Things (IoMT). Search keywords access mechanism is one of the typical approaches used to access PHR from a database, but it is susceptible to various security vulnerabilities. Although blockchain-enabled healthcare systems provide security, it may lead to some loopholes in the existing state of the art. In literature, blockchain-enabled frameworks have been presented to resolve those issues. However, these methods have primarily focused on data storage and blockchain is used as a database. In this paper, blockchain as a distributed database is proposed with a homomorphic encryption technique to ensure a secure search and keywords-based access to the database. Additionally, the proposed approach provides a secure key revocation mechanism and updates various policies accordingly. As a result, a secure patient healthcare data access scheme is devised, which integrates blockchain and trust chain to fulfill the efficiency and security issues in the current schemes for sharing both types of digital healthcare data. Hence, our proposed approach provides more security, efficiency, and transparency with cost-effectiveness. We performed our simulations based on the blockchain-based tool Hyperledger Fabric and OrigionLab for analysis and evaluation. We compared our proposed results with the benchmark models, respectively. Our comparative analysis justifies that our proposed framework provides better security and searchable mechanism for the healthcare system.
  11. Fulltext An Improved Strategy for Task Scheduling in the Parallel Computational Alignment of Multiple Sequences
    Ishaq M, Khan A, Su'ud MM, Alam MM, Bangash JI, Khan A
    Comput Math Methods Med, 2022;2022:8691646.
    PMID: 35126641 DOI: 10.1155/2022/8691646
    Task scheduling in parallel multiple sequence alignment (MSA) through improved dynamic programming optimization speeds up alignment processing. The increased importance of multiple matching sequences also needs the utilization of parallel processor systems. This dynamic algorithm proposes improved task scheduling in case of parallel MSA. Specifically, the alignment of several tertiary structured proteins is computationally complex than simple word-based MSA. Parallel task processing is computationally more efficient for protein-structured based superposition. The basic condition for the application of dynamic programming is also fulfilled, because the task scheduling problem has multiple possible solutions or options. Search space reduction for speedy processing of this algorithm is carried out through greedy strategy. Performance in terms of better results is ensured through computationally expensive recursive and iterative greedy approaches. Any optimal scheduling schemes show better performance in heterogeneous resources using CPU or GPU.
  12. Fulltext An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression
    Bukhari MM, Ghazal TM, Abbas S, Khan MA, Farooq U, Wahbah H, et al.
    Comput Intell Neurosci, 2022;2022:3606068.
    PMID: 35126487 DOI: 10.1155/2022/3606068
    Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of computing. Applications with a large number of growing devices have transformed the current design of centralized cloud impractical. Despite the use of 5G technology, delay-sensitive applications and cloud cannot go parallel due to exceeding threshold values of certain parameters like latency, bandwidth, response time, etc. Middleware proves to be a better solution to cope up with these issues while satisfying the high requirements task offloading standards. Fog computing is recommended middleware in this research article in view of the fact that it provides the services to the edge of the network; delay-sensitive applications can be entertained effectively. On the contrary, fog nodes contain a limited set of resources that may not process all tasks, especially of computation-intensive applications. Additionally, fog is not the replacement of the cloud, rather supplement to the cloud, both behave like counterparts and offer their services correspondingly to compliance the task needs but fog computing has relatively closer proximity to the devices comparatively cloud. The problem arises when a decision needs to take what is to be offloaded: data, computation, or application, and more specifically where to offload: either fog or cloud and how much to offload. Fog-cloud collaboration is stochastic in terms of task-related attributes like task size, duration, arrival rate, and required resources. Dynamic task offloading becomes crucial in order to utilize the resources at fog and cloud to improve QoS. Since this formation of task offloading policy is a bit complex in nature, this problem is addressed in the research article and proposes an intelligent task offloading model. Simulation results demonstrate the authenticity of the proposed logistic regression model acquiring 86% accuracy compared to other algorithms and confidence in the predictive task offloading policy by making sure process consistency and reliability.
  13. Effect of the Movement Control Order on the Incidence of Complicated Appendicitis During the COVID-19 Pandemic: A Cross-Sectional Study
    Sukiman H, Mohamad AM, Raduan MFN, Yasim MNAM, Lazim MIM
    Malays J Med Sci, 2021 Oct;28(5):130-136.
    PMID: 35115895 DOI: 10.21315/mjms2021.28.5.13
    Background: Appendicitis is common and delayed presentation results in complicated appendicitis with increased morbidity. This study investigates the effect of the Movement Control Order (MCO) during the COVID-19 pandemic on the presentation and severity of appendicitis.

    Methods: A cross-sectional study including 193 patients diagnosed with appendicitis was conducted at four hospitals in Pahang, Malaysia. Those who presented between 1 February 2020 and 17 March 2020 were included in the pre-MCO group and those between 18 March 2020 and 30 April 2020 in the MCO group. The definitions of simple and complicated appendicitis were based on the Sunshine Appendicitis Grading Score. The primary outcome was the incidence of complicated appendicitis, and the secondary outcomes were length of stay, a composite of surgical morbidities and a composite of organ failure.

    Results: A total of 105 patients in the pre-MCO group and 88 in the MCO group were analysed. The incidence of complicated appendicitis was 33% and it was higher in the MCO than in the pre-MCO group (44% versus 23%, P = 0.002). The MCO period was independently associated with complicated appendicitis in the logistic regression (P = 0.001). It was also associated with prolonged length of stay (3.5 days versus 2.4 days, P < 0.001) and higher overall surgical morbidity (19% versus 5%, P = 0.002).

    Conclusion: The MCO imposed during the COVID-19 pandemic was associated with a higher incidence of complicated appendicitis and surgical morbidity.

  14. Bleomycin, etoposide and cisplatinum (BEP) chemotherapy for metastatic germ cell tumours: treatment outcomes at UKM medical centre, Malaysia
    Azrif M, Leong YK, Aslan NM, Fong KV, Ismail F
    Asian Pac J Cancer Prev, 2012;13(6):2467-71.
    PMID: 22938405
    INTRODUCTION: Although bleomycin/etoposide/cisplatinum (BEP) chemotherapy is established as the standard treatment for germ cell tumours, it requires significant experience in administration and toxicity management to maintain optimal dose intensity. A retrospective review of 30 patients was conducted at UKMMC to study treatment outcomes.

    METHODS AND MATERIALS: Patients with GCTs and treated with at least two cycles of BEP chemotherapy between January 2003 and Oct 2009 were eligible for this study. Patients received 4-6 cycles of bleomycin 30,000IU IV D1, D8 and D15 and either etoposide 100mg/m2 IV D1- D5 and cisplatin 20mg/m2 IV D1- D5 (5 day BEP regimen) or etoposide 165 mg/m2 D1- D3 and cisplatin 50mg/m2 D1-3 (3 day BEP regimen) every three weeks per cycle. All patients received prophylactic granulocyte colony-stimulating factor (GCSF) from days 6 to 10 of each cycle. The overall response rates, 2 year progression-free survival and overall survival of the whole cohort were assessed.

    RESULTS: Thirty patients fulfilled the inclusion criteria. Non-seminomatous GCTs comprised 93.3% of cases and gonadal and mediastinal primary sites were the most common. Sixty percent were classified as IGCCCG poor risk disease. Median follow-up was 26.6 months. The overall response rate (CR+PR) was 70%. The two year PFS and OS were 70% and 66%. There was a significant difference in terms of the overall response rate (85% vs 40%, p = 0.03) and in PFS (94.7% vs 50%, p = 0.003) between gonadal and extragonadal primary sites.

    CONCLUSION: It is possible to achieve outcomes similar to those in international clinical trials with close monitoring and good supportive care of patients undergoing BEP chemotherapy. There is a strong argument for patients with IGCCCG poor prognosis disease to be treated in specialist tertiary centres to optimize treatment outcomes.

  15. Synthesis of α, β-unsaturated carbonyl based compounds as acetylcholinesterase and butyrylcholinesterase inhibitors: characterization, molecular modeling, QSAR studies and effect against amyloid β-induced cytotoxicity
    Bukhari SN, Jantan I, Masand VH, Mahajan DT, Sher M, Naeem-ul-Hassan M, et al.
    Eur J Med Chem, 2014 Aug 18;83:355-65.
    PMID: 24980117 DOI: 10.1016/j.ejmech.2014.06.034
    A series of novel carbonyl compounds was synthesized by a simple, eco-friendly and efficient method. These compounds were screened for anti-oxidant activity, in vitro cytotoxicity and for inhibitory activity for acetylcholinesterase and butyrylcholinesterase. The effect of these compounds against amyloid β-induced cytotoxicity was also investigated. Among them, compound 14 exhibited strong free radical scavenging activity (18.39 μM) while six compounds (1, 3, 4, 13, 14, and 19) were found to be the most protective against Aβ-induced neuronal cell death in PC12 cells. Compounds 4 and 14, containing N-methyl-4-piperidone linker, showed high acetylcholinesterase inhibitory activity as compared to reference drug donepezil. Molecular docking and QSAR (Quantitative Structure-Activity Relationship) studies were also carried out to determine the structural features that are responsible for the acetylcholinesterase and butyrylcholinesterase inhibitory activity.
  16. Fulltext Multivariate analysis of factors affecting presence and/or agenesis of third molar tooth
    Alam MK, Hamza MA, Khafiz MA, Rahman SA, Shaari R, Hassan A
    PLoS One, 2014;9(6):e101157.
    PMID: 24967595 DOI: 10.1371/journal.pone.0101157
    To investigate the presence and/or agenesis of third molar (M3) tooth germs in orthodontics patients in Malaysian Malay and Chinese population and evaluate the relationship between presence and/or agenesis of M3 with different skeletal malocclusion patterns and sagittal maxillomandibular jaw dimensions. Pretreatment records of 300 orthodontic patients (140 males and 160 females, 219 Malaysian Malay and 81 Chinese, average age was 16.27±4.59) were used. Third-molar agenesis was calculated with respect to race, genders, number of missing teeth, jaws, skeletal malocclusion patterns and sagittal maxillomandibular jaw dimensions. The Pearson chi-square test and ANOVA was performed to determine potential differences. Associations between various factors and M3 presence/agenesis groups were assessed using logistic regression analysis. The percentages of subjects with 1 or more M3 agenesis were 30%, 33% and 31% in the Malaysian Malay, Chinese and total population, respectively. Overall prevalence of M3 agenesis in male and female was equal (P>0.05). The frequency of the agenesis of M3s is greater in maxilla as well in the right side (P>0.05). The prevalence of M3 agenesis in those with a Class III and Class II malocclusion was relatively higher in Malaysian Malay and Malaysian Chinese population respectively. Using stepwise regression analyses, significant associations were found between Mx (P<0.05) and ANB (P<0.05) and M3 agenesis. This multivariate analysis suggested that Mx and ANB were significantly correlated with the M3 presence/agenesis.
  17. Mercury accumulation in bats near hydroelectric reservoirs in Peninsular Malaysia
    Syaripuddin K, Kumar A, Sing KW, Halim MR, Nursyereen MN, Wilson JJ
    Ecotoxicology, 2014 Sep;23(7):1164-71.
    PMID: 24840106 DOI: 10.1007/s10646-014-1258-y
    In large man-made reservoirs such as those resulting from hydroelectric dam construction, bacteria transform the relatively harmless inorganic mercury naturally present in soil and the submerged plant matter into toxic methylmercury. Methylmercury then enters food webs and can accumulate in organisms at higher trophic levels. Bats feeding on insects emerging from aquatic systems can show accumulation of mercury consumed through their insect prey. In this study, we investigated whether the concentration of mercury in the fur of insectivorous bat species was significantly higher than that in the fur of frugivorous bat species, sampled near hydroelectric reservoirs in Peninsular Malaysia. Bats were sampled at Temenggor Lake and Kenyir Lake and fur samples from the most abundant genera of the two feeding guilds-insectivorous (Hipposideros and Rhinolophus) and frugivorous (Cynopterus and Megaerops) were collected for mercury analysis. We found significantly higher concentrations of total mercury in the fur of insectivorous bats. Mercury concentrations also differed significantly between insectivorous bats sampled at the two sites, with bats from Kenyir Lake, the younger reservoir, showing higher mercury concentrations, and between the insectivorous genera, with Hipposideros bats showing higher mercury concentrations. Ten bats (H. cf. larvatus) sampled at Kenyir Lake had mercury concentrations approaching or exceeding 10 mg/kg, which is the threshold at which detrimental effects occur in humans, bats and mice.
  18. Review: Ajwa date (Phoenix dactylifera)- an emerging plant in pharmacological research
    Mallhi TH, Qadir MI, Ali M, Ahmad B, Khan YH, Rehman A
    Pak J Pharm Sci, 2014 May;27(3):607-16.
    PMID: 24811825
    Date Fruits are consumed in Arab areas for a long time as a part of essential diet. Phoenix dactylifera belongs to family Arecaceae and its leaves, barks, pits, fruits and pollens have anticancer, antioxidant, hepatoprotective, antidiabetic, antihypertensive, antiulcertavie, anti-inflammatory, antiproliferative, antimutagenic, antidiarheal, antibacterial, antifungal and antiviral potential. Besides these, Dates also increase level of estrogen, testosterone, RBCs, Hb, PCV, reticulocytes and platelet counts. It can also cure lead induced heamotoxicity, side effects of methylprednisolon, male and female infertility. It has also cerebroprotective, neuroprotective and haemopoietic activity. Phoenix dactylifera can be used for number of complications if further evaluated and isolated. The present paper is an overview of pharmacological properties of Phoenix dactylifera reported in literature.
  19. Fulltext Optical-based sensors for monitoring corrosion of reinforcement rebar via an etched cladding Bragg grating
    Abu Hassan MR, Abu Bakar MH, Dambul K, Adikan FR
    Sensors (Basel), 2012;12(11):15820-6.
    PMID: 23202233 DOI: 10.3390/s121115820
    In this paper, we present the development and testing of an optical-based sensor for monitoring the corrosion of reinforcement rebar. The testing was carried out using an 80% etched-cladding Fibre Bragg grating sensor to monitor the production of corrosion waste in a localized region of the rebar. Progression of corrosion can be sensed by observing the reflected wavelength shift of the FBG sensor. With the presence of corrosion, the etched-FBG reflected spectrum was shifted by 1.0 nm. In addition, with an increase in fringe pattern and continuously, step-like drop in power of the Bragg reflected spectrum was also displayed.
  20. Takotsubo cardiomyopathy in association with hyperthyroidism
    Zuhdi AS, Yaakob ZH, Sadiq MA, Ismail MD, Undok AW, Ahmad WA
    Medicina (Kaunas), 2011;47(4):219-21.
    PMID: 21829054
    Takotsubo cardiomyopathy is a rare, acute, nonischemic cardiomyopathy causing transient left ventricular dysfunction, which can mimic myocardial infarction on its presentation. While many cardiac manifestations have been associated with hyperthyroidism, we report a rare case where it has precipitated takotsubo cardiomyopathy.
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