Browse publications by year: 2022

  1. Faizan M, Cheng SH, Tonny SH, Robab MI
    Plant Physiol Biochem, 2022 Dec 01;192:186-195.
    PMID: 36244191 DOI: 10.1016/j.plaphy.2022.10.004
    Strigolactones (SLs) have been implicated in various developmental processes of the plant, including the response against several abiotic stresses. It is well known as a class of endogenous phytohormones that regulates shoot branching, secondary growth and root morphology. This hormone facilitates plants in responding to nitrogen and phosphorus starvation by shaping the above and below ground structural design. SLs actively participate within regulatory networks of plant stress adaptation that are governed by phytohormones. Heavy metals (HMs) in soil are considered a serious environmental problem that causes various harmful effects on plants. SLs along with other plant hormones imply the role in plant architecture is far from being fully understood. Strategy to remove/remediation of HMs from the soil with the help of SLs has not been defined yet. Therefore, the present review aims to comprehensively provide an overview of SLs role in fine-tuning plant architectures, relation with other plant hormones under abiotic stress, and remediation of HMs contaminated soil using SLs.
  2. Jairoun AA, Al-Hemyari SS, Abdulla NM, El-Dahiyat F, Shahwan M, Hassan N, et al.
    J Infect Public Health, 2022 Oct;15(10):1065-1071.
    PMID: 36087548 DOI: 10.1016/j.jiph.2022.08.015
    BACKGROUND: The growing number of human monkeypox cases worldwide illustrates the importance of early detection, prevention, management and quick action from healthcare authorities. The WHO confirmed a hundred of Monkeypox cases worldwide and disclosed Monkdypox as a worldwide emergency situation OBJECTIVES: To assess the knowledge about human monkeypox' source, signs/symptoms, transmission, prevention and treatment among Al Ain university students in the UAE.

    METHODS: This descriptive cross-sectional study aimed to assess Al Ain University students' knowledge of Human Monkeypox. A validated questionnaire was distributed to students between lectures. The respondents' knowledge of human Monkeypox was assessed by 21 questions that examined the participants' knowledge of Monkeypox as follows: 5 items examined knowledge of the source, definition, and incubation time; 2items assessed the mechanism of transmission of human Monkeypox, 7 items assessed the signs and symptoms; 7 items assessed the preventative measures; and 6 items assessed the treatment modalities. A multivariate logistic regression model was used to identify the factors influencing respondents' knowledge of human Monkeypox among university students.

    RESULTS: A total of five hundred and fifty-eight (558) students participated in the study. The average knowledge score was 70.1%, with a 95% confidence interval (CI) of 68.9 - 71.3. Of the total participants, 111 (19.9%) had poor knowledge about human Monkeypox, 320 (57.3%) had moderate knowledge, and 127 (22.8%) had good knowledge. The results of the statistical modelling showed that Old age (OR 0.681; 95% CI 1.005-1.016), female gender (OR 1.26; 95% CI 0.813 -0.961), participants from medical colleges (OR 1.22; 95% CI 1.13 -1.32) having a history of human chickenpox infection (OR 2.6; 95% CI 2.3-2.9) and receiving information on human Monkeypox during education (OR 1.14; 95% CI 1.05-1.2) were strong determinants for good knowledge about human Monkeypox.

    CONCLUSION: knowledge of Monkeypox among the participants is relatively low, particularly regarding the epidemiology, symptoms and treatments. Therefore, increasing knowledge of Monkeypox will be key to enhancing the capacity to respond to human monkeypox cases and to relay pertinent data to a disease surveillance system.

    MeSH terms: Cross-Sectional Studies; Disease Outbreaks/prevention & control; Female; Humans; Students; Universities
  3. Ichikawa-Seki M, Hayashi K, Tashiro M, Khadijah S
    Infect Genet Evol, 2022 Nov;105:105373.
    PMID: 36202207 DOI: 10.1016/j.meegid.2022.105373
    Fasciola gigantica and hybrid Fasciola flukes, responsible for the disease fasciolosis, are found in Southeast Asian countries. In the present study, we performed molecular species identification of Fasciola flukes distributed in Terengganu, Malaysia using multiplex PCR for phosphoenolpyruvate carboxykinase (pepck) and PCR-restriction fragment length polymorphism (RFLP) for DNA polymerase delta (pold). Simultaneously, phylogenetic analysis based on mitochondrial NADH dehydrogenase subunit 1 (nad1) was performed for the first time on Malaysian Fasciola flukes to infer the dispersal direction among neighboring countries. A total of 40 flukes used in this study were identified as F. gigantica. Eight nad1 haplotypes were identified in the F. gigantica population of Terengganu. Median-joining network analysis revealed that the Malaysian population was related to those obtained from bordering countries such as Thailand and Indonesia. However, genetic differentiation was detected using population genetics analyses. Nevertheless, the nucleotide diversity (π) value suggested that F. gigantica with the predominant haplotypes was introduced into Malaysia from Thailand and Indonesia. The dispersal direction suggested by population genetics in the present study may not be fully reliable since Fasciola flukes were collected from a single location in one state of Malaysia. Further studies analyzing more samples from many locations are required to validate the dispersal direction proposed herein.
    MeSH terms: Animals; Asia, Southeastern; DNA, Mitochondrial/genetics; Malaysia; NADH Dehydrogenase/genetics; Phylogeny; Phylogeography/methods; Animal Distribution*
  4. Long F, Ooi CS, Gui T, Ngah AH
    Appetite, 2022 Aug 01;175:106021.
    PMID: 35395361 DOI: 10.1016/j.appet.2022.106021
    Food waste is a serious problem with regard to social equity and environmental challenges across the world. In recent decades, a dramatic growth of restaurant food waste has been seen in China. This study integrated the norm activation model (NAM), Chinese cultural values (i.e. face saving and group conformity) and information publicity to examine young Chinese consumers' food waste behaviors in a dining-out context. By drawing data from 311 respondents from Shenyang, Northeast China, this research finds that Chinese cultural values significantly influence personal norms and food waste practices. Meanwhile, publicized information could effectively shape cultural values and food waste behaviors. This study advances our understanding of young Chinese consumers' food waste behaviors from the perspective of cultural values and information publicity, which sheds light on how to mitigate the food waste challenge for policy makers, relevant NGOs, food service providers and even individuals.
  5. Nie J, Aweya JJ, Yu Z, Zhou H, Wang F, Yao D, et al.
    J Immunol, 2022 Aug 01;209(3):476-487.
    PMID: 35851542 DOI: 10.4049/jimmunol.2200078
    Although invertebrates' innate immunity relies on several immune-like molecules, the diversity of these molecules and their immune response mechanisms are not well understood. Here, we show that Penaeus vannamei hemocyanin (PvHMC) undergoes specific deacetylation under Vibrio parahaemolyticus and LPS challenge. In vitro deacetylation of PvHMC increases its binding capacity with LPS and antibacterial activity against Gram-negative bacteria. Lysine residues K481 and K484 on the Ig-like domain of PvHMC are the main acetylation sites modulated by the acetyltransferase TIP60 and deacetylase HDAC3. Deacetylation of PvHMC on K481 and K484 allows PvHMC to form a positively charged binding pocket that interacts directly with LPS, whereas acetylation abrogates the positive charge to decrease PvHMC-LPS attraction. Besides, V. parahaemolyticus and LPS challenge increases the expression of Pvhdac3 to induce PvHMC deacetylation. This work indicates that, during bacterial infections, deacetylation of hemocyanin is crucial for binding with LPS to clear Gram-negative bacteria in crustaceans.
    MeSH terms: Animals; Anti-Bacterial Agents/metabolism; Gram-Negative Bacteria; Hemocyanin*; Immunity, Innate; Lipopolysaccharides/metabolism; Penaeidae*; Arthropod Proteins/metabolism
  6. Rehman A, Abbas S, Khan MA, Ghazal TM, Adnan KM, Mosavi A
    Comput Biol Med, 2022 Nov;150:106019.
    PMID: 36162198 DOI: 10.1016/j.compbiomed.2022.106019
    In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced the capabilities and facilities of healthcare 5.0, spawning a new area known as "Smart Healthcare." By identifying concerns early, a smart healthcare system can help avoid long-term damage. This will enhance the quality of life for patients while reducing their stress and healthcare costs. The IoMT enables a range of functionalities in the field of information technology, one of which is smart and interactive health care. However, combining medical data into a single storage location to train a powerful machine learning model raises concerns about privacy, ownership, and compliance with greater concentration. Federated learning (FL) overcomes the preceding difficulties by utilizing a centralized aggregate server to disseminate a global learning model. Simultaneously, the local participant keeps control of patient information, assuring data confidentiality and security. This article conducts a comprehensive analysis of the findings on blockchain technology entangled with federated learning in healthcare. 5.0. The purpose of this study is to construct a secure health monitoring system in healthcare 5.0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases. The proposed system demonstrates that the approach is optimized effectively for healthcare monitoring. In contrast, the proposed healthcare 5.0 system entangled with FL Approach achieves 93.22% accuracy for disease prediction, and the proposed RTS-DELM-based secure healthcare 5.0 system achieves 96.18% accuracy for the estimation of intrusion detection.
    MeSH terms: Delivery of Health Care; Health Facilities; Humans; Quality of Life; Technology
  7. Tasnim Sahrin N, Shiong Khoo K, Wei Lim J, Shamsuddin R, Musa Ardo F, Rawindran H, et al.
    Bioresour Technol, 2022 Nov;364:128088.
    PMID: 36216282 DOI: 10.1016/j.biortech.2022.128088
    The ever-increasing quantity of greenhouse gases in the atmosphere can be attributed to the rapid increase in the world population as well as the expansion of globalization. Hence, achieving carbon neutrality by 2050 stands as a challenging task to accomplish. Global industrialization had necessitated the need to enhance the current production systems to reduce greenhouse gases emission, whilst promoting the capture of carbon dioxide from atmosphere. Hydrogen is often touted as the fuel of future via substituting fossil-based fuels. In this regard, renewable hydrogen happens to be a niche sector of novel technologies in achieving carbon neutrality. Microalgae-based biohydrogen technologies could be a sustainable and economical approach to produce hydrogen from a renewable source, while simultaneously promoting the absorption of carbon dioxide. This review highlights the current perspectives of biohydrogen production as an alternate source of energy. In addition, future challenges associated with biohydrogen production at large-scale application, storage and transportation are included. Key technologies in producing biohydrogen are finally described in building a carbon-neutral future.
  8. Wan Mahari WA, Wan Razali WA, Manan H, Hersi MA, Ishak SD, Cheah W, et al.
    Bioresour Technol, 2022 Nov;364:128085.
    PMID: 36220529 DOI: 10.1016/j.biortech.2022.128085
    Microalgae are known for containing high value compounds and its significant role in sequestering carbon dioxide. This review mainly focuses on the emerging microalgae cultivation technologies such as nanomaterials technology that can improve light distribution during microalgae cultivation, attached cultivation and co-cultivation approaches that can improve growth and proliferation of algal cells, biomass yield and lipid accumulation in microalgal. This review includes a comprehensive discussion on the use of microbubbles technology to enhance aerated bubble capacity in photobioreactor to improve microalgal growth. This is followed by discussion on the role of microalgae as phycoremediation agent in removal of contaminants from wastewater, leading to better water quality and high productivity of shellfish. The review also includes techno-economic assessment of microalgae biorefinery technology, which is useful for scaling up the microalgal biofuel production system or integrated microalgae-shellfish cultivation system to support circular economy.
  9. Yiin CL, Odita EB, Mun Lock SS, Cheah KW, Chan YH, Wong MK, et al.
    Bioresour Technol, 2022 Nov;364:128075.
    PMID: 36220532 DOI: 10.1016/j.biortech.2022.128075
    One of the greatest challenges in biorefinery is to reduce biomass' recalcitrance and enable valorization of lignin into higher value compounds. Likewise, green solvents and hydrothermal liquefaction (HTL) with feasible economic viability, functionality, and environmental sustainability have been widely introduced in extraction and conversion of lignin. This review starts with the underscore of disadvantages and limitations of conventional pretreatment approaches and role of green solvents in lignin extraction. Subsequently, the effect of process parameters along with the reaction mechanisms and kinetics on conversion of lignin through HTL were comprehensively reviewed. The limitations of green solvents in extraction and HTL of lignin from biomass were discussed based on the current advancements of the field and future research scopes were also proposed. More details info on HTL of biomass derived lignin which avoid the energy-intensive drying procedures are crucial for the accelerated development and deployment of the advanced lignin biorefinery.
  10. Chong SL, Tan IS, Foo HCY, Chan YS, Lam MK, Lee KT
    Bioresour Technol, 2022 Nov;364:128136.
    PMID: 36257523 DOI: 10.1016/j.biortech.2022.128136
    This study aims to establish an efficient pretreatment method that facilitates the conversion of sugars from macroalgae wastes, Eucheuma cottonii residues (ECRs) during hydrolysis and subsequently enhances l-lactic acid (L-LA) production. Hence, ultrasonic-assisted molten salt hydrates (UMSHs) pretreatment was proposed to enhance the accessibility of ECRs to hydrolyze into glucose through dilute acid hydrolysis (DAH). The obtained hydrolysates were employed as the substrate in producing L-LA by separate hydrolysis and fermentation (SHF). The maximum glucose yield (97.75 %) was achieved using UMSHs pretreated ECRs with 40 wt% ZnCl2 at 80 °C for 2 h and followed with DAH. The optimum glucose to L-LA yield obtained for SHF was 90.08 % using 5 % (w/w) inoculum cell densities of B. coagulans ATCC 7050 with yeast extract (YE). A comparable performance (89.65 %) was obtained using a nutrient combination (lipid-extracted Chlorella vulgaris residues (CVRs), vitamin B3, and vitamin B5) as a partial alternative for YE.
  11. Feng K, Wang W, Rong J, Liang J, Mi J, Wu Y, et al.
    Ecotoxicol Environ Saf, 2022 Apr 01;234:113376.
    PMID: 35255249 DOI: 10.1016/j.ecoenv.2022.113376
    Ammonia emissions have become an important environmental challenge for the livestock industry. Probiotics are often used as additives to reduce ammonia, and the ammonia reduction efficiency of common probiotics is approximately 20-40%. In this study, we constructed a gdhA recombinant Pichia pastoris strain, glnA recombinant Pichia pastoris strain and gdhA-glnA Pichia pastoris recombinant strain using the gdhA and glnA genes, which have the potential function of reducing ammonia emissions. The results of in vitro fermentation showed that compared with the control, wild-type Pichia pastoris and pPICZA strains, the gdhA, glnA and gdhA-glnA recombinant strains significantly reduced ammonia emissions in laying hens (P 
  12. Gadde P, Arunachalam S, Sharan J
    Am J Orthod Dentofacial Orthop, 2022 Nov;162(5):591-592.
    PMID: 37830531 DOI: 10.1016/j.ajodo.2022.07.017
    MeSH terms: Face; Humans; Mouth*; Research Design*
  13. Awan MJ, Mohd Rahim MS, Salim N, Rehman A, Nobanee H
    J Healthc Eng, 2022;2022:2550120.
    PMID: 35444781 DOI: 10.1155/2022/2550120
    In recent times, knee joint pains have become severe enough to make daily tasks difficult. Knee osteoarthritis is a type of arthritis and a leading cause of disability worldwide. The middle of the knee contains a vital portion, the anterior cruciate ligament (ACL). It is necessary to diagnose the ACL ruptured tears early to avoid surgery. The study aimed to perform a comparative analysis of machine learning models to identify the condition of three ACL tears. In contrast to previous studies, this study also considers imbalanced data distributions as machine learning techniques struggle to deal with this problem. The paper applied and analyzed four machine learning classification models, namely, random forest (RF), categorical boosting (Cat Boost), light gradient boosting machines (LGBM), and highly randomized classifier (ETC) on the balanced, structured dataset of ACL. After oversampling a hyperparameter adjustment, the above four models have achieved an average accuracy of 95.72%, 94.98%, 94.98%, and 98.26%. There are 2070 observations and eight features in the collection of three diagnosis ACL classes after oversampling. The area under curve value was approximately 0.998, respectively. Experiments were performed using twelve machine learning algorithms with imbalanced and balanced datasets. However, the accuracy of the imbalanced dataset has remained under 76% for all twelve models. After oversampling, the proposed model may contribute to the investigation of ACL tears on magnetic resonance imaging and other knee ligaments efficiently and automatically without involving radiologists.
    MeSH terms: Machine Learning; Humans; Magnetic Resonance Imaging/methods
  14. Yin LL, Qin YW, Hou Y, Ren ZJ
    Comput Intell Neurosci, 2022;2022:7825597.
    PMID: 35463225 DOI: 10.1155/2022/7825597
    At present, there are widespread financing difficulties in China's trade circulation industry. Supply chain finance can provide financing for small- and medium-sized enterprises in China's trade circulation industry, but it will produce financing risks such as credit risks. It is necessary to analyze the causes of the risks in the supply chain finance of the trade circulation industry and measure these risks by establishing a credit risk assessment system. In this article, a supply chain financial risk early warning index system is established, including 4 first-level indicators and 29 third-level indicators. Then, on the basis of the supply chain financial risk early warning index system, combined with the method of convolution neural network, the supply chain financial risk early warning model of trade circulation industry is constructed, and the evaluation index is measured by the method of principal component analysis. Finally, the relevant data of trade circulation enterprises are selected to make an empirical analysis of the model. The conclusion shows that the supply chain financial risk early warning model and risk control measures established in this article have certain reference value for the commercial circulation industry to carry out supply chain finance. It also provides guidance for trade circulation enterprises to deal with supply chain financial risks effectively.
    MeSH terms: China; Industry*; Neural Networks (Computer)*; Risk Assessment
  15. Qiu Y, Pan J, Ishak NA
    Comput Intell Neurosci, 2022;2022:1362996.
    PMID: 36193186 DOI: 10.1155/2022/1362996
    Several primary school students in Fujian Province have perceived studying mathematics as challenging. To deal with this issue, computer technology advancements, specifically artificial intelligence (AI), present an opportunity to evaluate individual students' learning challenges and give individualized support to optimize their success in mathematics classes. It is also possible to use virtual reality (VR) to assist learners in acquiring complex mathematical and logical ideas and to lessen learners' mistakes. As a result, researchers, particularly beginners, are missing out on a complete perspective of the study of AI in teaching mathematics. That is why we are exploring the role of AI in math education by developing a "fuzzy-based tweakable convolution neural network with a long short-term memory (FT-CNN-LSTM-AM)" method. For this investigation, the students' datasets are taken and educated by mathematical teaching via the application of AI. The proposed method is utilized to predict the students' performance in mathematical education. A grey wolf optimizer is employed to boost the effectiveness of the proposed method. Furthermore, the performance of the proposed method is analyzed and compared with existing approaches to gain the highest reliability.
    MeSH terms: Artificial Intelligence*; Mathematics; Schools; Reproducibility of Results
  16. Hameed HA, Hasan HA, Luddin N, Husein A, Ariffin A, Alam MK
    Biomed Res Int, 2022;2022:3675703.
    PMID: 35496039 DOI: 10.1155/2022/3675703
    AIM: To investigate and compare the cell cytotoxicity, proliferation, cell attachment, and morphology of human fetal osteoblasts (hFOB) cells of coated samples (titanium nanocopper (Ti Cu), titanium nanohydroxyapatite (Ti HA) and titanium nanocopper ion doped hydroxyapatite (Ti Cu/HA) and uncoated samples (Ti) in order to assess the suitability of these surface modifications on Ti-6Al-7Nb for dental implant application.

    MATERIALS AND METHODS: The cytotoxicity was studied by examining the hFOB cell response by MTT assessment. The cell morphology was evaluated by inverted microscopy and observed under scanning electronic microscopy (SEM).

    RESULTS: MTT assay results displayed that the Cu content on the surface of Ti-6Al-7Nb alloys did not produce any cytotoxic effect on cell viability. The cell viability rate in all samples ranges from 97% to 126%, indicating that hFOB cells grew at a high proliferation rate. However, no significant differences in cell viability were observed between Ti and Ti Cu and between Ti HA and Ti Cu/HA groups. Microscopic examination demonstrated no difference in the cell morphology of hFOB among all samples. In addition, SEM observation indicated favorable adhesion and spreading of the cells on the coated and uncoated samples.

    CONCLUSIONS: The surface modification of Ti-6Al-7Nb alloy with Cu, HA, and Cu/HA exhibits good cell biocompatibility, and the Cu has no influence on the cell proliferation and differentiation of hFOB.

    MeSH terms: Copper; Humans; Durapatite; Nanoparticles*
  17. He S, He S, Gao X
    J Environ Public Health, 2022;2022:9440849.
    PMID: 35942144 DOI: 10.1155/2022/9440849
    Under the framework of disciplinary knowledge integrating technology, the multimedia teaching application of music performance attracts a major opportunity for reflection and reconstruction. The purpose of this study is to explore the laws and experiences of music performance teachers' multimedia teaching applications under the framework of subject teaching knowledge integrating technology. Through the research to understand the classroom multimedia teaching application of music performance teachers, according to the research results, relevant strategies are put forward for the application of music performance teachers' classroom multimedia teaching, in order to effectively improve the classroom teaching effect of music performance teachers. This research mainly uses the classroom observation method and data statistical analysis method and takes 100 music video lessons of the National Educational Resources Public Service Platform as the survey object. A total of 100 teachers were observed and scored in the classroom through the compiled multimedia teaching observation table for music performance teachers, and then the data was analyzed to draw conclusions. The conclusions of this study are as follows: The multimedia application behaviors of the teachers of the excellent courses are different from those of the teachers of the daily classes. The two types of teachers have differences in the effectiveness of multimedia teaching application of music performance, and the scores of the practical application of information technology are uneven. The overall score of multimedia teaching applications of excellent course teachers is higher than that of daily course teachers, and the classroom teaching effect is better. In this regard, based on the observation and assessment of the effectiveness of multimedia teaching applications by two types of teachers, this paper puts forward some suggestions for music performance teachers to improve the effectiveness of multimedia teaching applications in classrooms from the aspect of teachers themselves and educational functions. It is hoped that it can provide some theoretical basis and practical materials for the personal and professional development of music performance teachers.
    MeSH terms: Literacy; Music*; Surveys and Questionnaires; Multimedia*
  18. Jamaludin NI, Sahabuddin FNA, Rasudin NS, Shaharudin S
    Int J Sports Phys Ther, 2022;17(4):574-584.
    PMID: 35693857 DOI: 10.26603/001c.35706
    BACKGROUND: The single leg squat (SLS) motion imitates various maneuvers in sports. It is commonly used as a functional test for the lower limb. SLS with two-dimensional (2-D) video analysis is regularly performed in the clinical setting to assess dynamic knee valgus (DKV). However, 2-D video analysis may not be able to demonstrate the same level of accuracy as three-dimensional (3-D) motion analysis.

    PURPOSE: This study aimed to determine the within- and between-day reliability as well as the concurrent validity of 2-D and 3-D motion analysis of lower limb kinematics during 45° and 60° SLS among physically active females with and without DKV.

    STUDY DESIGN: Cross-sectional study.

    METHODS: A total of 34 physically active females (17 individuals with excessive DKV and 17 without DKV) participated in the study. Their DKV was determined based on the cut-off values of knee frontal plane projection angle during drop landing. Their lower limb kinematics during SLS at 45° and 60° knee flexion were captured simultaneously by digital cameras (2-D motion capture) and infrared cameras (3-D motion capture). Intraclass Correlation Coefficient (ICC) was used as an indicator for within- and between-day reliability tests of both groups. Bland-Altman Plot and Pearson correlation were used to examine the validity of 2-D and 3-D motion capture methods in evaluating knee valgus angle.

    RESULTS: Two-dimensional knee FPPA and 3-D knee angle measured during 45° and 60° SLS in normal and excessive DKV groups showed moderate to excellent within-day and between-day reliability (ICC≥ 0.50). The current study showed that the 2-D knee frontal plane projection angle (FPPA) during 45° SLS were valid for the non-dominant leg in both groups. Additionally, the 2-D knee FPPA during 60° SLS were valid for non-dominant leg in excessive DKV group and dominant leg in normal group.

    CONCLUSION: Two-dimensional knee FPPA during 45° and 60° SLS also showed high within-and between-day reliability for both groups. The validity of 2-D knee FPPA during SLS depends on the squat depth, stance leg, and presence of DKV.

    LEVEL OF EVIDENCE: 2B.

  19. Lian S
    Comput Intell Neurosci, 2022;2022:9249635.
    PMID: 35341180 DOI: 10.1155/2022/9249635
    There are many problems in the routine badminton teaching; there are mainly three aspects in college teaching. One is that the hardware equipment related to badminton is not enough; the second is that the badminton teaching does not meet the educational goals; the third is that the participation of college students is not high, which is no longer suitable for the current practical teaching. In order to improve the teaching method of badminton and improve the students' special performance of badminton, this paper studies the teaching of badminton based on multimedia environment. 82 students majoring in badminton were randomly divided into two classes. The experimental class (n = 41) used multimedia badminton teaching, and the control class (n = 41) used traditional badminton teaching, which lasted for one semester. Before and after the experiment, the students' physical fitness and badminton performance were tested. And the two classes of students were to send questionnaires to investigate interest in learning badminton and teaching satisfaction. The results of standing long jump, 50 m, and 800 m of the experimental class were improved by 0.2 m, 1.13s, and 16.25s, respectively. This shows that the physical quality and badminton performance of the experimental class under the multimedia environment are better than those of the control class under the general teaching. In the experimental class, 16 students are very interested in learning badminton, and 22 students are very satisfied with the multimedia teaching method; in the control class, only 9 students are very interested in learning badminton, and only 13 students are very satisfied with the traditional teaching method, which shows that the interest and satisfaction of students in the experimental class under the multimedia environment are higher than those in the control class under the traditional teaching.
    MeSH terms: Humans; Physical Education and Training; Students; Racquet Sports*; Multimedia
  20. George D, Wong CA, Thanimalai S, Tan HS
    Hosp Pharm, 2022 Oct;57(5):633-638.
    PMID: 36081534 DOI: 10.1177/00185787211070182
    Introduction: Oral anticoagulant is essential for the treatment and prevention of thromboembolism. Warfarin is an effective oral anticoagulant in prevention and treatment of thromboembolism. However, warfarin is frequently associated with adverse event (AE) requiring hospitalization. Method: We performed a retrospective cohort study of all patients admitted to a large tertiary public hospital for warfarin-related AEs. Patients were grouped based on bleeding severity and the direct medical cost was also calculated. Results: During the 4 years study period, a total of 224 patients were admitted for warfarin-related AEs. Mean age of patients admitted was 65.1 years (standard deviation [SD] = 11.5). More than half, 59.6%, of them were on warfarin for prevention of stroke in atrial fibrillation or atrial flutter. Major bleeding occurred among 50.9% of the patients with gastrointestinal bleed, 34 (29.8%), as the common site of bleed. Patients with major bleed had longer median hospital stay of 4 days (interquartile range [IQR] = 5) compared to 3 (IQR = 3) days in non-major bleed. There were 17 (14.9%) death among the major bleeders. Mean medical cost for managing warfarin-related AEs was USD 708.08. Conclusion: The admitted patients were equally distributed in terms of bleeding severity. Medical cost incurred for managing warfarin-related AEs increased with the severity of bleeding.
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