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  1. Yu L, Mei Q, Mohamad NI, Gu Y, Fernandez J
    Comput Biol Med, 2021 05;132:104302.
    PMID: 33677166 DOI: 10.1016/j.compbiomed.2021.104302
    Anterior knee pain is a commonly documented musculoskeletal disorder among badminton players. However, current biomechanical studies of badminton lunges mainly report kinetic profiles in the lower extremity with few investigations of in-vivo loadings. The objective of this study was to evaluate tissue loadings in the patellofemoral joint via musculoskeletal modelling and Finite Element simulation. The collected marker trajectories, ground reaction force and muscle activation data were used for musculoskeletal modelling to compute knee joint angles and quadricep muscle forces. These parameters were then set as boundary conditions and loads for a quasistatic simulation using the Abaqus Explicit solver. Simulations revealed that the left-forward (LF) and backward lunges showed greater contact pressure (14.98-29.61%) and von Mises stress (14.17-32.02%) than the right-forward and backward lunges; while, loadings in the left-backward lunge were greater than the left-forward lunge by 13-14%. Specifically, the stress in the chondral layer was greater than the contact interface, particularly in the patellar cartilage. These findings suggest that right-side dominant badminton players load higher in the right patellofemoral joint during left-side (backhand) lunges. Knowledge of these tissue loadings may provide implications for the training of badminton footwork, such as musculature development, to reduce cartilage loading accumulation, and prevent anterior knee pain.
  2. Chen P, Mazalan NS, Koh D, Gu Y
    Front Psychol, 2025;16:1536295.
    PMID: 40160556 DOI: 10.3389/fpsyg.2025.1536295
    OBJECTIVE: This study conducted a meta-analysis to examine the impact of exercise interventions on anxiety levels among college students.

    METHODS: Under Review Manager 5.3 and Stata17.0, subgroup analyses were conducted on data from 514 subjects across 10 studies from Chinese and English literature. The analyses examined intervention content, intervention period, single intervention duration and intervention frequency. A random effects model was employed to assess the overall effect size and heterogeneity.

    RESULTS: The exercise intervention demonstrated a significant effect on reducing anxiety among college students, with a large effect size (d = -0.83). The heterogeneity test of intervention content (I2 = 0%) revealed high consistency in the specific content of exercise intervention across studies. However, substantial heterogeneity was observed in single intervention time (I2 = 75%), intervention frequency (I2 = 75%), and intervention period (I2 = 72%), indicating significant variations across studies. These differences suggest that varying durations, frequencies, and periods of intervention yielded different effects on college students' anxiety levels.

    CONCLUSION: This meta-analysis has found that structured physical exercise programs, especially mind-body integrative exercises, can alleviate anxiety to the greatest extent, offering evidence-based guidance for implementing targeted exercise interventions in college mental health programs.

    SYSTEMATIC REVIEW REGISTRATION: https://doi.org/10.37766/inplasy2024.11.0006.

  3. Yu L, Mei Q, Xiang L, Liu W, Mohamad NI, István B, et al.
    Front Bioeng Biotechnol, 2021;9:629809.
    PMID: 33842444 DOI: 10.3389/fbioe.2021.629809
    Ground reaction force (GRF) is a key metric in biomechanical research, including parameters of loading rate (LR), first impact peak, second impact peak, and transient between first and second impact peaks in heel strike runners. The GRFs vary over time during stance. This study was aimed to investigate the variances of GRFs in rearfoot striking runners across incremental speeds. Thirty female and male runners joined the running tests on the instrumented treadmill with speeds of 2.7, 3.0, 3.3, and 3.7 m/s. The discrete parameters of vertical average loading rate in the current study are consistent with the literature findings. The principal component analysis was modeled to investigate the main variances (95%) in the GRFs over stance. The females varied in the magnitude of braking and propulsive forces (PC1, 84.93%), whereas the male runners varied in the timing of propulsion (PC1, 53.38%). The female runners dominantly varied in the transient between the first and second peaks of vertical GRF (PC1, 36.52%) and LR (PC2, 33.76%), whereas the males variated in the LR and second peak of vertical GRF (PC1, 78.69%). Knowledge reported in the current study suggested the difference of the magnitude and patterns of GRF between male and female runners across different speeds. These findings may have implications for the prevention of sex-specific running-related injuries and could be integrated with wearable signals for the in-field prediction and estimation of impact loadings and GRFs.
  4. Gu Y, Liu L, Guo J, Xiao S, Fang F, Yu X, et al.
    Artif Cells Nanomed Biotechnol, 2021 Dec;49(1):30-37.
    PMID: 33467925 DOI: 10.1080/21691401.2020.1865992
    This research is focussed to quantify IGF1 by electroanalytical analysis on InterDigitated electrode surface and characterized by the microscopic observations. For the detection, antibody and aptamer were used to analyze the level of IGF1. The sandwich pattern (aptamer-IGF1-antibody) was designed on the chemically modified IDE surface and reached the limit of detection to 10 fM with 100 folds enhancement in the sensitivity. Different control experiments (absence of IGF1, binding with IGF2 and with non-complementary aptamer) were failed to show the current changes, discriminated the specific detection. A good detection strategy is to complement the currently following imaging systems for AAA.
  5. Yang Y, Li X, Li B, Mu L, Wang J, Cheng Y, et al.
    Immunol Invest, 2021 Feb;50(2-3):184-200.
    PMID: 32208776 DOI: 10.1080/08820139.2020.1718693
    BACKGROUND: Tumor necrosis factor superfamily member 4 (TNFSF4) has significant role in modulating autoimmune diseases (ADs) and single nucleotide polymorphism (SNP) is also related with the susceptibility to some diseases. So a meta-analysis aimed at systematically assessing the associations between TNFSF4 polymorphisms (rs2205960 G > A, rs704840 T > G and rs844648 G > A) and ADs risk was performed in Asians.

    METHODS: Total 14 eligible articles published before March 2019 involving 35 studies, of which 21 studies (16,109 cases and 26,378 controls) for rs2205960 G > A, 8 studies (2,424 cases and 3,692 controls) for rs704840 T > G, and 6 studies (3,839 cases and 5,867 controls) for rs844648 G > A were included. Effects of the three respective polymorphisms on the susceptibility to ADs were estimated by pooling the odds ratios (ORs) with their corresponding 95% confidence interval (95% CI) in allelic, dominant, recessive, heterozygous and homozygous models.

    RESULTS: The overall analysis revealed that all the rs2205960 G > A, rs704840 T > G and rs844648 G > A polymorphisms could increase the risk of ADs in allelic, dominant, recessive, heterozygous and homozygous models. Furthermore, subgroup analysis showed that both rs2205960 G > A and rs704840 T > G were significantly associated with the susceptibility to systemic lupus erythematosus (SLE). What's more, statistically significant association between rs2205960 G > A polymorphism and primary Sjögren's syndrome (pSS) susceptibility was also observed in allelic, dominant and heterozygous models.

    CONCLUSIONS: This current meta-analysis suggested that all of the three TNFSF4 polymorphisms may be associated with ADs susceptibility in Asians.

  6. Gu Y, Shih STF, Geevasinga N, Chan L, Frew JW, Sebaratnam DF
    JAMA Dermatol, 2024 May 08.
    PMID: 38717780 DOI: 10.1001/jamadermatol.2024.1037
    IMPORTANCE: The HLA-B*15:02 allele has been associated with an increased risk of carbamazepine-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in specific Asian populations (including Han Chinese, Malaysian, Thai, and Vietnamese individuals). While HLA-B*15:02 genotype testing in Asian populations is recommended by several international prescribing guidelines, it is not subsidized by the Medicare Benefits Schedule in Australia.

    OBJECTIVE: To evaluate the cost-effectiveness of HLA-B*15:02 genotyping in Asian Australian patients with epilepsy.

    DESIGN, SETTING, AND PARTICIPANTS: A model with components of decision analysis and Markov simulation was developed to simulate clinical trajectories of adult Asian Australian patients with newly diagnosed epilepsy being considered for carbamazepine treatment. Cost-effectiveness and cost-utility analyses over a lifetime time horizon were conducted from the perspective of the Australian health care sector. The study was conducted in May 2023 and data analysis was performed from August 2023 to November 2023.

    INTERVENTION: No HLA-B*15:02 genotyping and the empirical initiation of treatment with carbamazepine vs HLA-B*15:02 genotyping and the initiation of treatment with valproate in allele carriers.

    MAIN OUTCOMES AND MEASURES: Life-years (LYs), quality-adjusted life-years (QALYs), and costs in 2023 Australian dollars (A$); incremental cost-effectiveness ratios.

    RESULTS: HLA-B*15:02 screening was associated with an additional mean cost of A$114 (95% CI, -A$83 to A$374; US$76; 95% CI, -US$55 to US$248) and a reduction in 0.0152 LYs (95% CI, 0.0045 to 0.0287 LYs) but improvement by 0.00722 QALYs (95% CI, -0.0247 to -0.01210) compared with no screening, resulting in an incremental cost-effectiveness ratio of A$15 839 per QALY gained (US$10 523 per QALY). Therefore, universal genotyping for Asian Australian individuals was cost-effective compared with current standards of practice at the A$50 000 per QALY willingness-to-pay threshold. Sensitivity analyses demonstrated that the intervention remained cost-effective across a range of costs, utilities, transition probabilities, and willingness-to-pay thresholds. At the A$50 000 per QALY willingness-to-pay threshold, universal screening was the preferred strategy in 88.60% of simulations.

    CONCLUSIONS AND RELEVANCE: The results of this economic evaluation suggest that HLA-B*15:02 screening represents a cost-effective choice for Asian Australian patients with epilepsy who are being considered for treatment with carbamazepine.

  7. Du J, Salim NAM, Zakaria WZW, Gu Y, Ling J
    Comput Intell Neurosci, 2022;2022:4971849.
    PMID: 35860639 DOI: 10.1155/2022/4971849
    In light of the ongoing occurrence of epidemics, the general populace frequently makes the decision to curtail their nomadic lifestyle in order to protect both their health and their safety. This has resulted in a number of issues, the most notable of which are the drop in the people's living happiness index and the poor business that the tourism industry has been experiencing as a result. Therefore, the idea of "cloud tourism" is undoubtedly the first candidate for the tourism industry, and in order to meet the requirements of cloud tourism, it is necessary to have an entirely new system to serve this, of which the scenic guide robot is an important part. At the same time, the quickening development of 5G technology offers solutions that may be put into practice for the multifurther IoT's expansion in smart cities. People will be able to experience the real outdoors without having to leave their homes, which will improve the people's well-being and alleviate the chilly status quo in the tourism industry. This is the plan, and it will be accomplished through the use of innovative guide robots that will make the experience more convenient and reliable.
  8. Yu L, Jiang H, Mei Q, Mohamad NI, Fernandez J, Gu Y
    Front Bioeng Biotechnol, 2023;11:1229574.
    PMID: 37614628 DOI: 10.3389/fbioe.2023.1229574
    Introduction: Playing badminton has been reported with extensive health benefits, while main injuries were documented in the lower extremity. This study was aimed to investigate and predict the knee- and ankle-joint loadings of athletes who play badminton, with "gold standard" facilities. The axial impact acceleration from wearables would be used to predict joint moments and contact forces during sub-maximal and maximal lunge footwork. Methods: A total of 25 badminton athletes participated in this study, following a previously established protocol of motion capture and musculoskeletal modelling techniques with the integration of a wearable inertial magnetic unit (IMU). We developed a principal component analysis (PCA) statistical model to extract features in the loading parameters and a multivariate partial least square regression (PLSR) machine learning model to correlate easily collected variables, such as the stance time, approaching velocity, and peak accelerations, with knee and ankle loading parameters (moments and contact forces). Results: The key variances of joint loadings were observed from statistical principal component analysis modelling. The promising accuracy of the partial least square regression model using input parameters was observed with a prediction accuracy of 94.52%, while further sensitivity analysis found a single variable from the ankle inertial magnetic unit that could predict an acceptable range (93%) of patterns and magnitudes of the knee and ankle loadings. Conclusion: The attachment of this single inertial magnetic unit sensor could be used to record and predict loading accumulation and distribution, and placement would exhibit less influence on the motions of the lower extremity. The intelligent prediction of loading patterns and accumulation could be integrated to design training and competition schemes in badminton or other court sports in a scientific manner, thus preventing fatigue, reducing loading-accumulation-related injury, and maximizing athletic performance.
  9. Sun F, Zhang Y, Tan CP, Gu Y, Liu Y, Xu YJ
    Crit Rev Anal Chem, 2025 Feb 13.
    PMID: 39945579 DOI: 10.1080/10408347.2025.2463430
    Microbiomes significantly impact food flavor, food quality and human health. The development of omics technologies has revolutionized our understanding of the microbiome, the generated complex datasets, as well as their processing and interpretation need to be taken seriously. Currently, chemometrics has shown huge potential in omics data analysis, which is crucial to reveal the functional attributes and mechanisms of microbiomes in food nutrition and safety. However, various chemometric tools have their own characteristics, selecting appropriate technologies and performing multiomics data fusion analysis to improve the precision and reliability of food microbial investigations is still a huge challenge. In this review, we summarized the omics technologies used in food microbiome studies, overviewed the principle and applicability of chemometrics in omics, and discussed the challenges and prospects of chemometrics. The urgent need for chemometrics is to integrate deep learning (DL) and artificial intelligence algorithms to enhance its analytical capabilities and prediction accuracy. We hope this review will provide valuable insights of the integration of multiomics and bioinformatics combined with various chemometric techniques in data analysis for food microbial investigation. In the future, chemometrics combined with modern technologies for multiomics data analysis will further deepen our understanding of food microbiology and improve food safety.
  10. Yan L, Yu J, Zhong Y, Gu Y, Ma Y, Li W, et al.
    J Nanosci Nanotechnol, 2020 03 01;20(3):1605-1612.
    PMID: 31492322 DOI: 10.1166/jnn.2020.17340
    The present study focuses on the microstructural and bioactive properties evolution in selective laser melting (SLM) β titanium alloys. We have applied cross-scan strategy for improving mechanical properties and lower elastic modulus of SLMed Ti-20Mg-5Ta alloys which has been shown to be altering the microstructure and refining the grain size. The cross-scan strategy can refine the microstructure and induce various deformation textures in contrast to the conventional scan strategy. The microstructures of Ti-20Mg-5Ta alloys indicate that the cross-scan strategy will yield the best mechanical properties and lower elastic modulus. The corrosion behavior of the Ti-20Mg-5Ta alloys was studied during immersion in an acellular simulated body fluid (SBF) at 37±0.50 °C for 28 days. Both the mechanical and bioactive properties showed that the novel Ti-20Mg-5Ta alloys should be ideal for bone implants.
  11. Sugawara D, Chishima Y, Kubo T, Shah RIABRR, Phoo EYM, Ng SL, et al.
    J Affect Disord, 2022 Aug 15;311:500-507.
    PMID: 35561884 DOI: 10.1016/j.jad.2022.05.032
    BACKGROUND: The current study examined how psychological resilience acted as a buffer against mental health deterioration during the coronavirus disease 2019 (COVID-19) pandemic. We conducted an online survey in four countries (Japan, Malaysia, China, and the U.S.) to examine how psychological resilience functions toward the maintenance of mental health during the COVID-19 pandemic.

    METHODS: We collected data from 1583 citizens from four countries via an online survey between October 14 and November 2, 2020. We gathered demographic data and measured mental distress (depression, anxiety, and stress) and fear of COVID-19. Data on sense of control, ego-resilience, grit, self-compassion, and resilience indicators were also collected.

    RESULTS: Sense of control was negatively associated with mental distress in all four countries. Self-compassion was negatively associated with mental distress in the samples from Japan, China, and the U.S. We also found an interaction effect for sense of control: the lower the sense of control, the stronger the deterioration of mental distress when the fear of COVID-19 was high.

    LIMITATIONS: This study's cross-sectional design precludes causal inferences. Further, lack of data from people who were actually infected with the virus limits comparisons of people who were and were not infected. Finally, as this study only compared data from four countries, comparisons with more countries are needed.

    CONCLUSIONS: A sense of control and self-compassion may help buffer against mental health deterioration during the COVID-19 pandemic. Sense of control was consistently associated with mental health across cultures.

  12. Shi W, Massaia A, Louzada S, Banerjee R, Hallast P, Chen Y, et al.
    Hum Genet, 2018 Jan;137(1):73-83.
    PMID: 29209947 DOI: 10.1007/s00439-017-1857-9
    We describe the variation in copy number of a ~ 10 kb region overlapping the long intergenic noncoding RNA (lincRNA) gene, TTTY22, within the IR3 inverted repeat on the short arm of the human Y chromosome, leading to individuals with 0-3 copies of this region in the general population. Variation of this CNV is common, with 266 individuals having 0 copies, 943 (including the reference sequence) having 1, 23 having 2 copies, and two having 3 copies, and was validated by breakpoint PCR, fibre-FISH, and 10× Genomics Chromium linked-read sequencing in subsets of 1234 individuals from the 1000 Genomes Project. Mapping the changes in copy number to the phylogeny of these Y chromosomes previously established by the Project identified at least 20 mutational events, and investigation of flanking paralogous sequence variants showed that the mutations involved flanking sequences in 18 of these, and could extend over > 30 kb of DNA. While either gene conversion or double crossover between misaligned sister chromatids could formally explain the 0-2 copy events, gene conversion is the more likely mechanism, and these events include the longest non-allelic gene conversion reported thus far. Chromosomes with three copies of this CNV have arisen just once in our data set via another mechanism: duplication of 420 kb that places the third copy 230 kb proximal to the existing proximal copy. Our results establish gene conversion as a previously under-appreciated mechanism of generating copy number changes in humans and reveal the exceptionally large size of the conversion events that can occur.
  13. Sugawara D, Gu Y, Masuyama A, Ng SL, Phoo EYM, Raja Reza Shah RIAB, et al.
    BMC Res Notes, 2021 Nov 04;14(1):409.
    PMID: 34736522 DOI: 10.1186/s13104-021-05819-x
    OBJECTIVES: The COVID-19 pandemic has impacted the mental health of people worldwide. Psychological resilience has been shown to buffer against the threat of the pandemic (i.e., COVID-19 fear) and sustain mental health. The extent to which psychological resilience factors impact mental health maintenance, however, is unclear, given broad differences in infection rates, prevention approaches, government interventions across different cultures and contexts. Our study examines resilience factors and how they protect individuals from COVID-19-related fear and sustain their mental health.

    DATA DESCRIPTION: Data were collected from 1583 (Mage = 32.22, SD = 12.90, Range = 19-82) respondents from Japan, China, the United States, and Malaysia between October to November 2020. We collected data across age and sex, marital status, number of children, and occupations. We also accounted for stay-at-home measures, change in income, COVID-19 infection status, place of residence, and subjective social status in the study. Our variables included mental health-related and resilience constructs, namely (i) fear of COVID-19, (ii) depression, anxiety, and stress; (iii) present, past, and future life satisfaction, (iv) sense of control, (v) positive emotions, (vi) ego-resilience, (vii) grit, (viii) self-compassion, (ix) passion, and (x) relational mobility. All questionnaires were assessed for their suitability across the four countries with the necessary translation checks. Results from this study can be instrumental in examining the impact of multiple resilience factors and their interaction with demographic variables in shaping mental health outcomes.

  14. Alzubaidi L, Al-Dulaimi K, Salhi A, Alammar Z, Fadhel MA, Albahri AS, et al.
    Artif Intell Med, 2024 Sep;155:102935.
    PMID: 39079201 DOI: 10.1016/j.artmed.2024.102935
    Deep learning (DL) in orthopaedics has gained significant attention in recent years. Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks, including fracture detection, bone tumour diagnosis, implant recognition, and evaluation of osteoarthritis severity. The utilisation of DL is expected to increase, owing to its ability to present accurate diagnoses more efficiently than traditional methods in many scenarios. This reduces the time and cost of diagnosis for patients and orthopaedic surgeons. To our knowledge, no exclusive study has comprehensively reviewed all aspects of DL currently used in orthopaedic practice. This review addresses this knowledge gap using articles from Science Direct, Scopus, IEEE Xplore, and Web of Science between 2017 and 2023. The authors begin with the motivation for using DL in orthopaedics, including its ability to enhance diagnosis and treatment planning. The review then covers various applications of DL in orthopaedics, including fracture detection, detection of supraspinatus tears using MRI, osteoarthritis, prediction of types of arthroplasty implants, bone age assessment, and detection of joint-specific soft tissue disease. We also examine the challenges for implementing DL in orthopaedics, including the scarcity of data to train DL and the lack of interpretability, as well as possible solutions to these common pitfalls. Our work highlights the requirements to achieve trustworthiness in the outcomes generated by DL, including the need for accuracy, explainability, and fairness in the DL models. We pay particular attention to fusion techniques as one of the ways to increase trustworthiness, which have also been used to address the common multimodality in orthopaedics. Finally, we have reviewed the approval requirements set forth by the US Food and Drug Administration to enable the use of DL applications. As such, we aim to have this review function as a guide for researchers to develop a reliable DL application for orthopaedic tasks from scratch for use in the market.
  15. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Nov 08;133(19):191902.
    PMID: 39576923 DOI: 10.1103/PhysRevLett.133.191902
    The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics. With no observed excess of events over the standard model expectation, limits are set on the cross section for production via gluon fusion of a scalar mediator with SUEP-like decays.
  16. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Oct 18;133(16):161805.
    PMID: 39485967 DOI: 10.1103/PhysRevLett.133.161805
    The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138  fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.9 times the standard model expectation is placed on the ratio of the Z→ττμμ to Z→4μ branching fractions. Limits are also placed on the six flavor-conserving four-lepton effective-field-theory operators involving two muons and two tau leptons, for the first time testing all such operators.
  17. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Nov 15;133(20):201803.
    PMID: 39626745 DOI: 10.1103/PhysRevLett.133.201803
    Searches for pair-produced multijet signatures using data corresponding to an integrated luminosity of 128  fb^{-1} of proton-proton collisions at sqrt[s]=13  TeV are presented. A data scouting technique is employed to record events with low jet scalar transverse momentum sum values. The electroweak production of particles predicted in R-parity violating supersymmetric models is probed for the first time with fully hadronic final states. This is the first search for prompt hadronically decaying mass-degenerate higgsinos, and extends current exclusions on R-parity violating top squarks and gluinos.
  18. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2025 Mar 21;134(11):111903.
    PMID: 40192405 DOI: 10.1103/PhysRevLett.134.111903
    Nuclear medium effects on B^{+} meson production are studied using the binary-collision scaled cross section ratio between events of different charged-particle multiplicities from proton-lead collisions. Data, collected by the CMS experiment in 2016 at a nucleon-nucleon center-of-mass energy of sqrt[s_{NN}]=8.16  TeV, corresponding to an integrated luminosity of 175  nb^{-1}, were used. The scaling factors in the ratio are determined using a novel approach based on the Z→μ^{-}μ^{+} cross sections measured in the same events. The scaled ratio for B^{+} is consistent with unity for all event multiplicities, putting stringent constraints on nuclear modification for heavy flavor.
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