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  1. Fulltext Psychological Capital Related to Academic Outcomes Among University Students: A Systematic Literature Review
    Li R, Che Hassan N, Saharuddin N
    Psychol Res Behav Manag, 2023;16:3739-3763.
    PMID: 37705849 DOI: 10.2147/PRBM.S421549
    In the past two decades, several scholars from different disciplines have conducted theoretical research and practical explorations on the issue of psychological capital and achieved certain research results. Yet, few studies have synthesized the psychological capital related to academic outcomes among university students. Thus, the aim of this article is to explore how PsyCap is described in an academic context and how PsyCap and academic-related outcomes are related. A comprehensive systematic review was conducted on 43 studies between 2012 and 2022, sourced from six leading databases: Web of Science, Scopus, ERIC, PsyINFO (EBSCO), Springerlink, and ScienceDirect. Our selection criteria focused on empirical research that specifically discussed PsyCap's impact on university students' academic performance. This review identifies personal and social factors that influence the development of PsyCap in university students, such as self-esteem, motivation, gratitude, family support, and peer relationships. We found that PsyCap plays a key role in academic outcomes, including academic performance, engagement, burnout, adjustment, stress, and intrinsic motivation. Highlighting the significance of PsyCap in academic settings, our study underscores the need for further research on its relationship with student outcomes. Given the substantial influence of PsyCap on academic performance, institutions should consider incorporating psychological capital development programs into their curriculum. Such initiatives could optimize the academic achievements and holistic well-being of students.
  2. Fulltext A review on multi-objective optimization of building performance - Insights from bibliometric analysis
    Li R, Shari Z, Ab Kadir MZA
    Heliyon, 2025 Feb 28;11(4):e42480.
    PMID: 40028605 DOI: 10.1016/j.heliyon.2025.e42480
    The optimization of building performance has gained significant attention over the past two decades, driven by the need for energy efficiency, occupant comfort, and environmental sustainability. This paper conducts a comprehensive bibliometric analysis of multi-objective optimization (MOO) for building performance, spanning research publications from 2003 to 2023. Utilizing advanced bibliometric tools such as CiteSpace, VoSviewer, and Bibliometrix, we analyzed 1604 documents from the Web of Science Core Collection to map collaborative networks, research trends, and citation patterns. The study identifies notable advancements in the integration of sophisticated optimization algorithms, including genetic algorithms and particle swarm optimization (PSO), with simulation platforms like EnergyPlus and MATLAB, while utilizing Artificial Neural Networks (ANN) for enhanced predictive capabilities. These integrations have markedly enhanced the efficiency and accuracy of optimizing key building performance metrics, including energy efficiency, thermal comfort, indoor air quality (IAQ), and cost-effectiveness. China and the United States emerged as leading contributors, with higher education institutions playing a critical role in research outputs. Key research hotspots identified include energy consumption, thermal comfort, life cycle assessment, and simulation-based optimization. The effectiveness of genetic algorithms in managing complex multi-objective problems has led to their widespread adoption. Looking forward, future research is anticipated to focus on the development of more integrated and intelligent optimization algorithms that leverage real-time data and user behavior, thus improving the adaptability and sustainability of building performance optimization. This study provides a detailed insight into the evolution and current trends in MOO research, laying a strong foundation for future investigations aimed at advancing building performance in the context of energy efficiency and environmental sustainability.
  3. TEOA, a triterpenoid from Actinidia eriantha, induces autophagy in SW620 cells via endoplasmic reticulum stress and ROS-dependent mitophagy
    Zhang D, Gao C, Li R, Zhang L, Tian J
    Arch Pharm Res, 2017 May;40(5):579-591.
    PMID: 28211011 DOI: 10.1007/s12272-017-0899-9
    2α,3α,24-Thrihydroxyurs-12-en-28-oicacid (TEOA), a pentacyclic triterpenoid, isolated from the roots of Actinidia eriantha, exhibits significant cytotoxicity against SW620, BGC-823, HepG-2, A549 and PC-3 cancer cells. In this study, we investigated the underlying molecular mechanism of the anticancer activity of TEOA in SW620 cells. We demonstrated that TEOA induced apoptosis through cleavage of caspase-9 and PARP in SW620 cells. In addition, evidence of TEOA-mediated autophagy included the induction of autophagolysosomes and activation of autophagic markers LC-3B and p62. Further analysis illustrated that TEOA promoted the phosphorylation of PERK and elF2α, followed by up-regulation of the downstream protein CHOP, suggesting the involvement of PERK/eIF2α/CHOP pathway and ER stress in TEOA-induced autophagy in SW620 cells. Meanwhile, TEOA-mediated PINK1, Parkin, ubiquitin and p62 activation revealed that TEOA induced specific autophagy-mitophagy in SW620 cells. Additionally, an antioxidant NAC attenuated the TEOA-induced mitophagy, indicating that TEOA triggers mitophagy via a ROS-dependent pathway. Collectively, our findings revealed a novel cellular mechanism of TEOA in the colon cancer cell line SW620, thus providing a molecular basis for developing TEOA into an anti-tumor candidate.
  4. Fulltext Occurrence of Tomato leaf curl New Delhi virus in tomato (Lycopersicon esculentum) in China
    Li R, Liu Y, Yin C, Sun K, Zhang P
    Plant Dis, 2022 Oct 24.
    PMID: 36281022 DOI: 10.1094/PDIS-06-22-1427-PDN
    Tomato leaf curl New Delhi virus (ToLCNDV), a member of the genus Begomovirus in the family Geminiviridae is naturally transmitted by the whitefly Bemisia tabaci (order Hemiptera, family Aleyrodidae) in a circulative and persistent manner (Moriones et al. 2017). ToLCNDV has occurred in Bangladesh, India, Indonesia, Iran, Italy, Malaysia, Pakistan, Sri Lanka, Spain, Thailand and Tunisia (Moriones et al. 2017). To date, The primary cultivated host of ToLCNDV has been identified as tomato (Lycopersicon esculentum), but the virus is also known to infect 43 other plant species from a range of families including Cucurbitaceae, Euphorbiaceae, Solanaceae, Malvaceae and Fabaceae (Zaidi et al. 2017). In August 2021, virus-like symptoms including leaf deformation and curing were observed on tomato (Lycopersicon esculentum) in a greenhouse of about 0.5 hectares in Zhejiang Province, China. To identify viral agents potentially associated with this disease, an Oxford Nanopore cDNA library from a symptomatic sample was generated and sequenced. Total RNA was extracted using RNAiso Plus (TaKaRa, Tokyo, Japan). Libraries were constructed using Oxford Nanopore PCR-cDNA Sequencing Kit (SQK-PCS109; Oxford Nanopore Technologies, Oxford, UK), as recommended. Approximately 8.7 million reads were obtained from the Oxford MinION platform. After removing the adapters and low-quality reads, the clean reads were subjected to BLASTn analysis against the nt database. Approximately 797 and 168 reads produced high nt identities to the genome of ToLCNDV DNA-A (GeneBank Accession No. U15015.2) and ToLCNDV DNA-B (GeneBank Accession No. U15017.2) respectively. We designed 6 primer pairs (Table S1) to obtain the sequence of ToLCNDV Zhejiang (ToLCNDV-ZJ) isolate DNA-A and DNA-B. Briefly, total DNA from ToLCNDV-infected tomato was extracted using standard cetyl trimethylammonium bromide method. Segments of ToLCNDV DNA-A and DNA-B were amplified using high-fidelity DNA polymerase KOD-Plus-Neo (Toyobo, Osaka, Japan). PCR products were cloned into the pLB vector (Tiangen, Beijing, China) and Sanger sequenced. The obtained sequences were assembled into complete sequences of ToLCNDV-ZJ DNA-A (2,739 nt, GeneBank Accession No. OP356207) and DNA-B (2,693 nt, GeneBank Accession No. OP356208). Pairwise sequence comparison revealed that the ToLCNDV -ZJ shared the highest nt sequence identities of 98.7% and 98.4% with the genome segments of New Delhi isolate (genome A: HM159454) and India:Delhi:Cucumis:2012 isolate (genome B: KC545813) respectively. Furthermore, we performed PCR detection on 10 collected samples using the primer pair P1F and P1R. All eight symptomatic plants showing upward leaf curling and leaf distortion tested positive for ToLCNDV infection, whereas two asymptomatic plants were ToLCNDV free. To our knowledge, this is the first report of ToLCNDV infecting tomato in China, and with the widespread presence of B. tabaci in green houses, ToLCNDV may be a potential threat to the cultivation of tomato in China. In addition, ToLCNDV is an exceptional Old World bipartite begomovirus. In China, monopartite DNA satellite-associated begomoviruses with mostly narrow geographical ranges predominate, and are widespread (Li et al., 2022). The occurrence of ToLCNDV in China, which indicates that the success of this virus would become an emerging threat to vegetable and fiber crops.
  5. Exploring the Traditional Chinese Medicine (TCM) database chemical space to target I7L protease from monkeypox virus using molecular screening and simulation approaches
    Khan A, Shahab M, Nasir F, Waheed Y, Alshammari A, Mohammad A, et al.
    SAR QSAR Environ Res, 2023;34(9):689-708.
    PMID: 37675795 DOI: 10.1080/1062936X.2023.2250723
    In the current study, we used molecular screening and simulation approaches to target I7L protease from monkeypox virus (mpox) from the Traditional Chinese Medicines (TCM) database. Using molecular screening, only four hits TCM27763, TCM33057, TCM34450 and TCM31564 demonstrated better pharmacological potential than TTP6171 (control). Binding of these molecules targeted Trp168, Asn171, Arg196, Cys237, Ser240, Trp242, Glu325, Ser326, and Cys328 residues and may affect the function of I7L protease in in vitro assay. Moreover, molecular simulation revealed stable dynamics, tighter structural packing and less flexible behaviour for all the complexes. We further reported that the average hydrogen bonds in TCM27763, TCM33057, TCM34450 and TCM31564I7L complexes remained higher than the control drug. Finally, the BF energy results revealed -62.60 ± 0.65 for the controlI7L complex, for the TCM27763I7L complex -71.92 ± 0.70 kcal/mol, for the TCM33057I7L complex the BF energy was -70.94 ± 0.70 kcal/mol, for the TCM34450I7L the BF energy was -69.94 ± 0.85 kcal/mol while for the TCM31564I7L complex the BF energy was calculated to be -69.16 ± 0.80 kcal/mol. Although, we used stateoftheart computational methods, these are theoretical insights that need further experimental validation.
  6. High-performance detection of an abdominal aortic aneurysm biomarker by immunosensing
    Guo S, Li Y, Li R, Zhang P, Wang Y, Gopinath SCB, et al.
    Biotechnol Appl Biochem, 2020 May;67(3):383-388.
    PMID: 31876964 DOI: 10.1002/bab.1877
    Abdominal aortic aneurysm (AAA) is a serious, life-threatening vascular disease that presents as an enlarged area of the aorta, which is the main artery that carries blood away from the heart. AAA may occur at any location in the aorta, but it is mainly found in the abdominal region. A ruptured AAA causes serious health issues, including death. Traditional imaging techniques, such as computed tomography angiogram, magnetic resonance imaging, and ultrasound sonography, have been used to identify AAAs. Circulating biomarkers have recently become attractive for diagnosing AAAs due to their cost-effectiveness compared to imaging. Insulin-like growth factor 1 (IGF-1), a secreted hormone vital for human atherosclerotic plaque stability, has been found to be an efficient biomarker for AAA identification. In this report, immunosensing was performed by using an InterDigitated electrode (IDE) sensor to detect circulating levels of IGF-1. The detection limit of IGF-1 was found to be 100 fM with this sensor. Moreover, related protein controls (IGF-2 and IGFBP3) were not detected with the same antibody, indicating selective IGF-1 detection. Thus, immunosensing by using an IDE sensor may help to effectively diagnose AAAs and represents a basic platform for further development.
  7. Palm oil consumption and its repercussion on endogenous fatty acids distribution
    Li R, Cao C, Zheng Z, Yang X, Tan CP, Xu Y, et al.
    Food Funct, 2021 Mar 15;12(5):2020-2031.
    PMID: 33565560 DOI: 10.1039/d0fo02511a
    The consumption of saturated lipids in combination with a sedentary lifestyle increases the risk of obesity and metabolic syndrome. However, the distribution of endogenous fatty acids (FA) after the consumption of saturated lipids and the connection between FA distribution and lipid metabolism-related genes relative expression have not been fully elucidated to date. In this study, we characterized FA profiles in the liver and visceral fats of Sprague Dawley (SD) rats fed with a high-palm-oil diet. The investigation showed that the levels of C16:0 and C18:1 (n-9) increased significantly (P < 0.05) in the liver of the high-palm-oil group (POG), while C16:1 (n-7) and C18:2 (n-6) accumulated markedly (P < 0.05) in the visceral fats of the control group (CN). A correlation analysis indicated a negative correlation between C16:0 and C16:1 (n-7) in the epididymal fat of POG. Our study also demonstrated that the intake of saturated lipids caused changes in lipid metabolism-related gene expression, especially stearoyl-CoA desaturase (SCD), which was upregulated at the third week but was inhibited in the subsequent weeks in the POG liver and perirenal fat. The SCD had a notable positive correlation with C16:1 (n-7) in the POG liver and perirenal fat but a significant negative correlation with C16:0 in the POG epididymal fat. In conclusion, the results of this study indicate that a high-C16:0 diet may result in adaptive SCD expression, and these findings may help to elucidate the effects of dietary fat on lipid metabolism.
  8. Fulltext Phytochemical Composition, Antioxidant Activity, and Enzyme Inhibitory Activities (α-Glucosidase, Xanthine Oxidase, and Acetylcholinesterase) of Musella lasiocarpa
    Li R, Ru Y, Wang Z, He X, Kong KW, Zheng T, et al.
    Molecules, 2021 Jul 24;26(15).
    PMID: 34361630 DOI: 10.3390/molecules26154472
    In this study, we aimed to investigate the chemical components and biological activities of Musella lasiocarpa, a special flower that is edible and has functional properties. The crude methanol extract and its four fractions (petroleum ether, ethyl acetate, n-butanol, and aqueous fractions) were tested for their total antioxidant capacity, followed by their α-glucosidase, acetylcholinesterase, and xanthine oxidase inhibitory activities. Among the samples, the highest total phenolic and total flavonoid contents were found in the ethyl acetate (EtOAc) fraction (224.99 mg GAE/g DE) and crude methanol extract (187.81 mg QE/g DE), respectively. The EtOAc fraction of Musella lasiocarpa exhibited the strongest DPPH· scavenging ability, ABTS·+ scavenging ability, and α-glucosidase inhibitory activity with the IC50 values of 22.17, 12.10, and 125.66 μg/mL, respectively. The EtOAc fraction also showed the strongest ferric reducing antioxidant power (1513.89 mg FeSO4/g DE) and oxygen radical absorbance capacity ability (524.11 mg Trolox/g DE), which were higher than those of the control BHT. In contrast, the aqueous fraction demonstrated the highest acetylcholinesterase inhibitory activity (IC50 = 10.11 μg/mL), and the best xanthine oxidase inhibitory ability (IC50 = 5.23 μg/mL) was observed from the crude methanol extract as compared with allopurinol (24.85 μg/mL). The HPLC-MS/MS and GC-MS analyses further revealed an impressive arsenal of compounds, including phenolic acids, fatty acids, esters, terpenoids, and flavonoids, in the most biologically active EtOAc fraction. Taken together, this is the first report indicating the potential of Musella lasiocarpa as an excellent natural source of antioxidants with possible therapeutic, nutraceutical, and functional food applications.
  9. Fulltext Chalcomoracin is a potent anticancer agent acting through triggering Oxidative stress via a mitophagy- and paraptosis-dependent mechanism
    Han H, Chou CC, Li R, Liu J, Zhang L, Zhu W, et al.
    Sci Rep, 2018 06 22;8(1):9566.
    PMID: 29934599 DOI: 10.1038/s41598-018-27724-3
    Chalocomoracin (CMR), one of the major secondary metabolites found in fungus-infected mulberry leaves, is a potent anticancer agent. However, its anticancer mechanism remains elusive. Here, we demonstrated the potent anti-tumor activity and molecular mechanism of CMR both in vitro and in vivo. We showed for the first time that CMR treatment markedly promoted paraptosis along with extensive cytoplasmic vacuolation derived from the endoplasmic reticulum, rather than apoptosis, in PC-3 and MDA-MB-231cell lines. Additional studies revealed that ectopic expression of Myc-PINK1 (PTEN-induced kinase 1), a key regulator of mitophagy, rendered LNCap cells susceptible to CMR-induced paraptosis, suggesting that the mitophagy-dependent pathway plays a crucial role in inducing paraptosis by activating PINK1. CMR treatment directly upregulated PINK1 and downregulated Alix genes in MDA-MB-231 and PC-3 cell lines. Furthermore, mitophagy signaling and paraptosis with cytoplasmic vacuolation could be blocked by antioxidant N-acetylcysteine (NAC), indicating the novel pathway was triggered by reactive oxygen species (ROS) production. An in vivo MDA-MB-231 xenograft tumor model revealed that CMR suppressed tumor growth by inducing vacuolation production through the same signal changes as those observed in vitro. These data suggest that CMR is a potential therapeutic entity for cancer treatment through a non-apoptotic pathway.
  10. Evaluation of the carotid artery stenosis based on minimization of mechanical energy loss of the blood flow
    Sia SF, Zhao X, Li R, Zhang Y, Chong W, He L, et al.
    Proc Inst Mech Eng H, 2016 Nov;230(11):1051-1058.
    PMID: 28095764 DOI: 10.1177/0954411916671752
    BACKGROUND: Internal carotid artery stenosis requires an accurate risk assessment for the prevention of stroke. Although the internal carotid artery area stenosis ratio at the common carotid artery bifurcation can be used as one of the diagnostic methods of internal carotid artery stenosis, the accuracy of results would still depend on the measurement techniques. The purpose of this study is to propose a novel method to estimate the effect of internal carotid artery stenosis on the blood flow based on the concept of minimization of energy loss.

    METHODS: Eight internal carotid arteries from different medical centers were diagnosed as stenosed internal carotid arteries, as plaques were found at different locations on the vessel. A computational fluid dynamics solver was developed based on an open-source code (OpenFOAM) to test the flow ratio and energy loss of those stenosed internal carotid arteries. For comparison, a healthy internal carotid artery and an idealized internal carotid artery model have also been tested and compared with stenosed internal carotid artery in terms of flow ratio and energy loss.

    RESULTS: We found that at a given common carotid artery bifurcation, there must be a certain flow distribution in the internal carotid artery and external carotid artery, for which the total energy loss at the bifurcation is at a minimum; for a given common carotid artery flow rate, an irregular shaped plaque at the bifurcation constantly resulted in a large value of minimization of energy loss. Thus, minimization of energy loss can be used as an indicator for the estimation of internal carotid artery stenosis.

  11. Complete genetic dissection and cell type-specific replication of old world alphaviruses, getah virus (GETV) and sagiyama virus (SAGV)
    Zhang Y, Yu J, Tan L, Wang X, Li R, Kim DY
    J Microbiol, 2021 Nov;59(11):1044-1055.
    PMID: 34570337 DOI: 10.1007/s12275-021-1361-8
    Getah virus (GETV), which was first isolated in Malaysia in 1955, and Sagiyama virus (SAGV), isolated in Japan in 1956, are members of the genus Alphavirus in the family Togaviridae. It is a consensus view that SAGV is a variant of GETV. In the present study, we determined the complete sequences of the prototype GETV MM2021 and SAGV M6-Mag132 genomic RNA extracted from plaque-purified viruses. The MM2021 genome was 11,692 nucleotides (nt) in length in the absence of 3' poly(A) tail, and the length of M6-Mag132 genome was 11,698 nt. Through sequence alignment of MM2021 and M6-Mag132, we located all the amino acid differences between these two strains, which were scattered in all the encoded proteins. Subsequently, we validated the close evolutionary relationship between GETV and SAGV by constructing phylogenetic trees based on either complete genomes or structural genomes. We eventually analyzed the growth kinetics of GETV and SAGV as well as other representative alphaviruses in various mammalian and insect cell lines. It was shown that human-oriented cell lines such as HEK-293T and Hela cells were relatively resistant to GETV and SAGV infection due to absence of proviral factors or species-specific barrier. On the other hand, both GETV and SAGV replicated efficiently in non-human cell lines. Our results provide essential genetic information for future epidemiological surveillance on Alphaviruses and lay the foundation for developing effective interventions against GETV and SAGV.
  12. Fulltext Effects of blood flow restriction training on sports performance in athletes: a systematic review with meta-analysis
    Li R, Chee CS, Kamalden TF, Ramli AS, Yang K
    J Sports Med Phys Fitness, 2024 Jan;64(1):55-65.
    PMID: 37902798 DOI: 10.23736/S0022-4707.23.15220-0
    INTRODUCTION: Blood flow restriction training (BFRT) is an effective training method to improve sports performance in healthy athletes. Nevertheless, a systematic review with meta-analysis regarding how BFRT affects sports performance in athletes is still lacking. Consequently, the study attempted to expand and consolidate the prior studies regarding the effect of BFRT on technical and physical performance in athletes.

    EVIDENCE ACQUISITION: This study was based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyzes) statement guidelines for a systematic review of the academic databases Scopus, Web of Science, PubMed, EBSCOhost (SportDiscus), and Google Scholar. The PEDro scale was used to assess the methodological quality of the included publications, which ranged from moderate to high quality. The systematic review protocol was registered on inplasy.com (INPLASY202380049).

    EVIDENCE SYNTHESIS: Out of 249 studies identified, 93 articles were evaluated as eligible, and after the screening, 18 studies were finally included in this systematic review. Meta-analysis results showed a significant enhancement on vertical jump height in the BFRT group compared to the control group (SMD=1.39, 95% CI=0.30-2.49, P=0.01). BFRT was able to significantly increase maximal oxygen uptake (SMD=1.65, 95% CI=0.56-2.74, P<0.01). While no significant improvement in sprint time was observed (SMD= -0.18, 95% CI=-1.18-0.82, P=0.115).

    CONCLUSIONS: The finding suggests that BFRT is beneficial to athletes as this training method can be effective in enhancing physical and technical performance in athletes. Nevertheless, further analysis needs to be conducted to fully determine the effectiveness of the moderators of the intervention on sports performance.

  13. First Report of Neoscytalidium dimidiatum causing leaf zonate spot disease of Aloe vera L. in China
    Wei Z, Duan F, Yu D, Luo S, Yang M, Li R
    Plant Dis, 2024 Mar 18.
    PMID: 38499972 DOI: 10.1094/PDIS-09-23-1911-PDN
    In February 2022, leaf zonate spot disease afflicted Aloe vera L. in Yunnan, China, endangering the $39 billion industry with 0.33ha under cultivation (Wan 2015). The disease manifested with watery spots progressing into oval or circular necrosis lesions, characterized by a dark center surrounded by a gray-brown zone. In the late stage of the disease, lesions regress in size and several small dark picnidia dots appeared on the gray-brown zone. The disease incidence ranged from 10% to 15% in three commercial plantations. If left uncontrolled, the disease could diminish the commercial value of Aloe vera plants. Eighteen symptomatic leaf samples underwent morphological and genetic identification. The samples were carefully washed with distilled water and 1×1 cm2 sections of tissue were excised using a sterile scalpel. The sections underwent surface-disinfection with 3% NaOCl for 3 min and 75% ethanol for 30 s. After three sterile water rinses the sections were air-dried. Subsequently, they were transferred to potato dextrose agar (PDA) before being incubated at 25 ℃ in the dark. Of the 18 samples, eight produced the colonies with similar morphological characteristics, named LH7. Isolate LH7 had downy to woolly aerial mycelia, initially pinkish white on the surface, and gradually turned greenish-olivaceous from the middle, and eventually turned dark brown to black after seven days. The fungus formed arthric chains in the aerial mycelium on PDA but did not produce conidiomata. The conidia, which occurred in arthric chains were 5.50-9.9 × 4.08-7.51 μm (mean 7.09× 5.26 μm, n=50) in size, cylindrical, brown, and 0-1 septate. To ascertain LH7's pathogenicity, three healthy one-year old aloe plants were surface-sanitized with a 1% aqueous chlorine solution, rinsed with sterile water, and dried. Three leaves from each plant were punctuated and inoculated using conidial suspension (100 μl of 1x 106 conidial mL-1), while three control plants were inoculated with sterile distilled water. The pathogenicity tests were repeated twice. The inoculated plants were kept at 25 ℃ with a 12-hour light/12-hour dark cycle. After seven days, symptoms observed in the field appeared in the plants, while no disease occurred in the control plants. After 21 days, conidiomata formed on the inoculated leaves, averaging 116.92 μm (n=20) in diameter. These conidiomata were globose to subglobose, and brown to sub-brown. The fungus was successfully re-isolated from symptomatic tissue and the resulting colonies were morphologically consistent with isolate LH7. Based on the characteristics, the fungus was identified as Neoscytalidium dimidiatum (Philips et al. 2013). The specimen was deposited in China Center for Type Culture Collection ( CCTCC AF 2024001). This identification was confirmed through sequencing of ITS gene region of rDNA using ITS1/ITS4 (Imran et al. 2022). The sequence was submitted into GenBank database (ON878059). BLAST analysis of the LH7's ITS amplicon showed 100% similarity with that of JN093303.1. A phylogenetic tree constructed using the maximum likelihood method revealed that ON878059 was clustered with JN093303.1. Previous studies have documented that pathogens such as Colletotrichum gloeosporioides (Penz.), Fusarium spp. and Rhizopus oryzae can also cause diseases in A. vera in China (Zhou et al. 2008; Ding et al. 2015). Additinonally, Cladosporium sphaerospermum, Pseudopestalotiopsis theae, and Lasiodiplodia theobromae have been identified as causal agents of aloe leaf spot diseases in India, Bangladesh and Malaysia (Avasthi et al. 2016; Ahmmed et al. 2022; Khoo et al. 2022). To our knowledge, this is the first report of N. dimidiatum causing leaf necrosis of aloe in China. Vigilant surveillance and disease control measures are imperative to mitigate potential losses in this region.
  14. Fulltext Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of "living with COVID-19"
    Luo W, Zhou Y, Liu Z, Kang W, He S, Zhu R, et al.
    Health Place, 2023 Mar 13;81:103000.
    PMID: 37011444 DOI: 10.1016/j.healthplace.2023.103000
    BACKGROUND: In response to COVID-19, Southeast Asian (SEA) countries had imposed stringent lockdowns and restrictions to mitigate the pandemic ever since 2019. Because of a gradually boosting vaccination rate along with a strong demand for economic recovery, many governments have shifted the intervention strategy from restrictions to "Living with COVID-19" where people gradually resumed their normal activities since the second half of the year 2021. Noticeably, timelines for enacting the loosened strategy varied across Southeast Asian countries, which resulted in different patterns of human mobility across space and time. This thus presents an opportunity to study the relationship between mobility and the number of infection cases across regions, which could provide support for ongoing interventions in terms of effectiveness.

    OBJECTIVE: This study aimed to investigate the association between human mobility and COVID-19 infections across space and time during the transition period of shifting strategies from restrictions to normal living in Southeast Asia. Our research results have significant implications for evidence-based policymaking at the present of the COVID-19 pandemic and other public health issues.

    METHODS: We aggregated weekly average human mobility data derived from the Facebook origin and destination Movement dataset. and weekly average new cases of COVID-19 at the district level from 01-Jun-2021 to 26-Dec-2021 (a total of 30 weeks). We mapped the spatiotemporal dynamics of human mobility and COVID-19 cases across countries in SEA. We further adopted the Geographically and Temporally Weighted Regression model to identify the spatiotemporal variations of the association between human mobility and COVID-19 infections over 30 weeks. Our model also controls for socioeconomic status, vaccination, and stringency of intervention to better identify the impact of human mobility on COVID-19 spread.

    RESULTS: The percentage of districts that presented a statistically significant association between human mobility and COVID-19 infections generally decreased from 96.15% in week 1 to 90.38% in week 30, indicating a gradual disconnection between human mobility and COVID-19 spread. Over the study period, the average coefficients in 7 SEA countries increased, decreased, and finally kept stable. The association between human mobility and COVID-19 spread also presents spatial heterogeneity where higher coefficients were mainly concentrated in districts of Indonesia from week 1 to week 10 (ranging from 0.336 to 0.826), while lower coefficients were mainly located in districts of Vietnam (ranging from 0.044 to 0.130). From week 10 to week 25, higher coefficients were mainly observed in Singapore, Malaysia, Brunei, north Indonesia, and several districts of the Philippines. Despite the association showing a general weakening trend over time, significant positive coefficients were observed in Singapore, Malaysia, western Indonesia, and the Philippines, with the relatively highest coefficients observed in the Philippines in week 30 (ranging from 0.101 to 0.139).

    CONCLUSIONS: The loosening interventions in response to COVID-19 in SEA countries during the second half of 2021 led to diverse changes in human mobility over time, which may result in the COVID-19 infection dynamics. This study investigated the association between mobility and infections at the regional level during the special transitional period. Our study has important implications for public policy interventions, especially at the later stage of a public health crisis.

  15. Effects of blood flow restriction training on physical fitness among athletes: a systematic review and meta-analysis
    Yang K, Chee CS, Abdul Kahar J, Tengku Kamalden TF, Li R, Qian S
    Sci Rep, 2024 Jul 18;14(1):16615.
    PMID: 39025894 DOI: 10.1038/s41598-024-67181-9
    Blood flow restriction training (BFRT) is an effective, scientific and safe training method, but its effect on the overall quality of athletes remains unclear. The aim of this systematic review with meta-analysis was to clarify the effects of BFRT on the physical fitness among athletes. Based on the PRISMA guidelines, searches were performed in PubMed, Web of Science, SPORTDiscus, and SCOUPS, the Cochrane bias risk assessment tool was used to assess methodological quality, and RevMan 5.4 and STATA 15.0 software were used to analyze the data. A meta-analysis of 28 studies with a total sample size of 542 athletes aged 14-26 years and assessed as low risk for quality was performed. Our results revealed that the BFRT intervention had small to large improvements in the athletes' strength (ES = 0.74-1.03), power (ES = 0.46), speed (ES = 0.54), endurance (ES = 1.39-1.40), body composition (ES = 0.28-1.23), while there was no significant effect on body mass (p > 0.05). Subgroup analyses revealed that moderator variables (training duration, frequency, load, cuff pressure, and pressurization time) also had varying degrees of effect on athletes' physical fitness parameters. In conclusion, BFRT had a positive effect on the physical fitness parameters of the athletes, with significantly improved strength, power, speed, endurance and body composition, but not body mass parameters. When the training frequency ≥ 3 times/week, cuff pressure ≥ 160 mmHg, and pressurization time ≥ 10 min, the BFRT group was more favorable for the improvement of physical fitness parameters.
  16. HPV vaccination is highly effective and cost-effective for cervical cancer prevention in women living with HIV in China: A cost-effectiveness analysis
    Liu H, Zou M, Shen M, Kamarulzaman A, Chen S, Li J, et al.
    Int J Cancer, 2025 Mar 15;156(6):1225-1235.
    PMID: 39551969 DOI: 10.1002/ijc.35242
    The presence of human immunodeficiency virus (HIV) infection increases the risk of acquiring human papillomavirus (HPV) infection and developing HPV-related adversities. We aimed to estimate the cost-effectiveness of HPV vaccination for women living with HIV in a Chinese setting. A decision-analysis Markov model was developed to estimate the cost-effectiveness of 36 HPV vaccination strategies for women living with HIV aged 18-45 years, from the healthcare system perspective. With the status quo, not vaccinating women living with HIV would lead to 51.99% (51,985/100,000) HIV-related deaths; 35.10% (35,098/100,000) would develop genital warts, 0.36% (355/100,000) develop cervical cancer, and among which 63.66% (226/355) die from cervical cancer over their lifetime (1,601,457 person-years). With a willingness to pay (WTP) threshold of three times gross domestic product (GDP), Gardasil 4 vaccination for all women living with HIV aged 18-45 years was the most cost-effective strategy (ICER = US $32,766/QALY gained). This strategy would reduce genital warts by 35.52% (12,467/35,098), cervical cancers by 12.96% (46/355), and cervical cancer deaths by 12.39% (28/226) over the lifetime of the cohort. If the future domestic Cecolin 9 vaccine is priced at 60% of Gardasil 9, vaccinating all women living with HIV aged 18-45 years with Cecolin 9 would be the most cost-effective strategy (ICER = US $30,493/QALY gained). Improving adherence to antiretroviral therapy for HIV may substantially improve the cost-effectiveness of both Gardasil 4 and Cecolin 9 vaccination.
  17. Fulltext Table tennis coaching system based on a multimodal large language model with a table tennis knowledge base
    Ma W, Liu Y, Yi Q, Liu X, Xing W, Zhao R, et al.
    PLoS One, 2025;20(2):e0317839.
    PMID: 39946390 DOI: 10.1371/journal.pone.0317839
    Table tennis is one of the most popular sports in the world, and it plays a positive role in the overall development of people's physical and mental health. This study develops an AI table tennis coaching system using a Multimodal Large Language Model with a table tennis knowledge base, aiming to provide precise training guidance and match strategies for table tennis beginners.

    METHOD: By using visual recognition technology, motion capture technology, and advanced multimodal large language models with a comprehensive professional table tennis knowledge base, the system accurately identifies common errors made by beginners and provides targeted training guidance.

    RESULT: The AI Table Tennis Coaching System demonstrates high accuracy in identifying mistakes made by beginner players, particularly in recognizing arm-related errors and racket-related errors, with accuracies reaching 73% and 82% respectively.

    CONCLUSION: The system operates at low costs, is easy to deploy, and offers a high cost-performance ratio, providing effective technological support for table tennis teaching and training. The AI table tennis coaching system is expected to play a significant role in enhancing training efficiency, promoting athlete skill improvement, and popularizing the sport. Future research will focus on improving the accuracy of footwork recognition in AI table tennis coaching systems and expanding their capability to provide training guidance for high-level athletes, thereby promoting the overall advancement of table tennis.

  18. Fulltext Exploring the role of social capital in enhancing physical activity among college and university students: A systematic review
    Gao Z, Chee CS, Dev RDO, Li F, Li R, Gao J, et al.
    PLoS One, 2024;19(11):e0314610.
    PMID: 39602461 DOI: 10.1371/journal.pone.0314610
    College and university students often exhibit insufficient levels of physical activity, which negatively impacts their health, mental well-being, and academic performance. Social capital has emerged as a potential factor in promoting physical activity. This systematic review, conducted in line with PRISMA guidelines, examines the existing literature on the role of social capital in enhancing physical activity among college and university students. A search of the Web of Science, Scopus, SportDiscus, and PsychINFO databases identified 10 studies published by August 1, 2024, involving 2,700 students, primarily from North America and Europe. The overall quality of the included studies was high, with all scoring above 85% on quality assessments. The findings indicate that social capital, particularly strong social networks, support from family and friends, and high levels of social cohesion, is significantly associated with higher levels of physical activity among college and university students. Social capital may facilitate physical activity in group settings through mechanisms such as emotional support, role modeling, and social norms. Despite limitations within the existing research evidence, such as reliance on self-reported data and cross-sectional study designs, this review suggests that social capital holds potential for promoting physical activity in this population. Future research should prioritize the use of objective measurement tools and longitudinal designs to more accurately assess the long-term effects of social capital and explore how these findings can inform effective interventions.
  19. Fulltext A replication study confirms the association of dendritic cell immunoreceptor (DCIR) polymorphisms with ACPA - negative RA in a large Asian cohort
    Guo J, Wu X, Too CL, Yin F, Lu X, He J, et al.
    PLoS One, 2012;7(7):e41228.
    PMID: 22829930 DOI: 10.1371/journal.pone.0041228
    OBJECTIVES: Dendritic cell immunoreceptor (DCIR) has been implicated in development of autoimmune disorders in rodent and DCIR polymorphisms were associated with anti-citrullinated proteins antibodies (ACPA)-negative rheumatoid arthritis (RA) in Swedish Caucasians. This study was undertaken to further investigate whether DCIR polymorphisms are also risk factors for the development of RA in four Asian populations originated from China and Malaysia.

    METHODS: We genotyped two DCIR SNPs rs2377422 and rs10840759 in Han Chinese population (1,193 cases, 1,278 controls), to assess their association with RA. Subsequently, rs2377422 was further genotyped in three independent cohorts of Malaysian-Chinese subjects (MY_Chinese, 254 cases, 206 controls), Malay subjects (MY_ Malay, 515 cases, 986 controls), and Malaysian-Indian subjects (MY_Indian, 378 cases, 285 controls), to seek confirmation of association in various ethnic groups. Meta-analysis was preformed to evaluate the contribution of rs2377422 polymorphisms to the development of ACPA-negative RA in distinct ethnic groups. Finally, we carried out association analysis of rs2377422 polymorphisms with DCIR mRNA expression levels.

    RESULTS: DCIR rs2377422 was found to be significantly associated with ACPA -negative RA in Han Chinese (OR 1.92, 95% CI 1.27-2.90, P=0.0020). Meta-analysis confirms DCIR rs2377422 as a risk factor for ACPA-negative RA across distinct ethnic groups (OR(overall) =1.17, 95% CI 1.06-1.30, P=0.003). The SNP rs2377422 polymorphism showed significant association with DCIR mRNA expression level, i.e. RA-risk CC genotype exhibit a significant increase in the expression of DCIR (P=0.0023, Kruskal-Wallis).

    CONCLUSIONS: Our data provide evidence for association between DCIR rs2377422 and RA in non-Caucasian populations and confirm the influence of DCIR polymorphisms on RA susceptibility, especially on ACPA-negative RA.
  20. Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation
    Wen D, Li R, Jiang M, Li J, Liu Y, Dong X, et al.
    Neural Netw, 2021 Dec 25;148:23-36.
    PMID: 35051867 DOI: 10.1016/j.neunet.2021.12.010
    This study aims to explore an effective method to evaluate spatial cognitive ability, which can effectively extract and classify the feature of EEG signals collected from subjects participating in the virtual reality (VR) environment; and evaluate the training effect objectively and quantitatively to ensure the objectivity and accuracy of spatial cognition evaluation, according to the classification results. Therefore, a multi-dimensional conditional mutual information (MCMI) method is proposed, which could calculate the coupling strength of two channels considering the influence of other channels. The coupled characteristics of the multi-frequency combination were transformed into multi-spectral images, and the image data were classified employing the convolutional neural networks (CNN) model. The experimental results showed that the multi-spectral image transform features based on MCMI are better in classification than other methods, and among the classification results of six band combinations, the best classification accuracy of Beta1-Beta2-Gamma combination is 98.3%. The MCMI characteristics on the Beta1-Beta2-Gamma band combination can be a biological marker for the evaluation of spatial cognition. The proposed feature extraction method based on MCMI provides a new perspective for spatial cognitive ability assessment and analysis.
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