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Fulltext An exotic fruit with high nutritional value: Kadsura coccinea fruit

Sun, J., Jiang, Y., Amin, I., Li, Z., Prasad, K.N., Duan, X., et al.

International Food Research Journal, 2011;18(2):651-657.
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This research was to determine nutritional composition, essential and toxic elemental content, and major phenolic acid with antioxidant activity in Kadsura coccinea fruit. The results indicated that Kadsura coccinea fruit exhibited the high contents of total protein, total fat, ash and essential elements such as calcium (Ca), ferrum (Fe) and phosphorus (P). The levels of four common toxic elements, i.e. cadmium (Cd), mercury (Hg), arsenic (As) and lead (Pb), were lower than legal limits. By high-performance liquid chromatography (HPLC) analysis, gallic acid was identified as major phenolic acid in peel and pulp tissues. Its contents were no significant difference in both tissues. In comparison with two commercial antioxidants, the major phenolic acid extracted from Kadsura coccinea exhibited stronger 1,1-diphenyl-2-picrylhydrazyl radical-scavenging activity and reducing power. Kadsura coccinea fruit is a good source of nutrition and natural antioxidant. It is worthwhile to popularize this exotic fruit around the world.
A Comparative Evaluation of YOLO-Segmentation Models for Coronary Artery Segmentation on the ARCADE Dataset

Zhou Z, Li Z, Gao Y

J Vis Exp, 2026 Oct 23.
PMID: 42921770 DOI: 10.3791/72855

Coronary X-ray angiography is the clinical reference for visualizing coronary anatomy, but automated instance-level segment labeling remains difficult because of low contrast, overlapping branches, class imbalance across 25 SYNTAX-defined segments, and heterogeneous published protocols. This protocol therefore provides a reproducible, image-level comparison of five You Only Look Once (YOLO) segmentation models-YOLOv8-seg, YOLOv9c-seg, YOLO11-seg, YOLO12-seg, and YOLO26-seg-on the public Roboflow v1 ARCADE release of 3,587 expert-annotated frames divided into 3,138 training, 299 validation, and 150 test frames. Models were initialized from official segmentation checkpoints, trained only on the training split with shared stochastic gradient descent (SGD) settings and validation-based early stopping and checkpoint selection, and evaluated once post hoc on the untouched test split; mask mean average precision (mAP) at intersection over union (IoU) thresholds of 0.50-0.95 (mAP@50-95) was the primary accuracy metric and A100 model-level latency at 32-bit floating-point precision (FP32) was a secondary efficiency descriptor. On validation, the larger YOLOv9c-seg obtained the highest observed mask mAP@50-95 of 0.210; on the test split, compact YOLO11-seg obtained the highest observed mask mAP@50-95 of 0.241, followed by YOLO26-seg (0.239) and YOLOv9c-seg (0.235). Major proximal segments were consistently easier to segment than rare distal variants, while recorded inference times of 0.6 ms versus 3.0 ms per frame describe model-level throughput rather than end-to-end clinical latency. These single-seed, image-level results do not establish patient-level independence, statistical superiority, or clinical utility; they are intended as a methodological benchmark that others can reimplement, with prospective, hardware-specific, and patient-level validation still required before any workflow claim.
Fulltext Impact of the Industrialization of Older Adult Care Services on Older Individuals' Physical and Mental Health: Evidence from China's Quasi-Natural Experiment

He Y, Ouyang W, Li Z, Wei B

J Multidiscip Healthc, 2023;16:3017-3033.
PMID: 37869611 DOI: 10.2147/JMDH.S426710

PURPOSE: Given the increasing longevity of the population, the consolidation of familial structures, and the scarcity of economic resources required to sustain an aging society, the Chinese government faces a complex and urgent challenge in effectively addressing the growing needs of older adults and establishing a long-term care services system that is both sustainable and equitable.
PATIENTS AND METHODS: This study harnesses the comprehensive CLHLS data from 2011 to 2018 and utilizes the "Pilot Industrialization of Old-Age Service in a Market-Oriented Way" policy as a quasi-natural experiment. Employing the Difference-in-Differences (DID) method, our study aims to evaluate the impact of industrializing older adult care services on the physical and mental health outcomes of older adults in China.
RESULTS: The findings strongly indicate that the government's adoption of a market-driven fiscal approach within its policies, aimed at attracting social capital and fostering the industrialization of older adult care services, positively influences the physical and mental well-being of the aged population. Furthermore, through heterogeneity analysis, it becomes evident that the health promotion effect is particularly pronounced among older individuals living without a spouse, lacking family care from children or grandchildren, or residing in financially underdeveloped regions.
CONCLUSION: In summary, these results underscore the potential efficacy of employing financial policy instruments to facilitate the industrialization of older adult care services, thereby advancing the promotion of a society characterized by healthy aging and ensuring equitable health outcomes for older people.
Prediction model of transformer top oil temperature based on data quality enhancement

Dong N, Zhang R, Li Z, Cao B

Rev Sci Instrum, 2023 Jul 01;94(7).
PMID: 37493503 DOI: 10.1063/5.0159072

Top oil temperature (TOT) is an important parameter to evaluate the running state of a transformer. According to the variation trend of TOT, the internal thermal state of transformers can be predicted so as to arrange operation and maintenance reasonably and prevent the occurrence of accidents. However, due to the complex working environment in the field, there are often a large number of missing values in online monitoring data, which seriously affects the prediction of TOT. At the same time, it is affected by various factors such as load, ambient temperature, wind speed, and solar radiation, which cause the information of different time scales to be mixed in its monitoring data. Therefore, it is difficult to achieve the desired accuracy with a single model. In this article, a model for predicting TOT based on data quality enhancement is proposed. First, the Markov model is used to complete the online monitoring data containing missing values to obtain a complete and continuous time series. Then, using the ensemble empirical modal decomposition method, the time series of TOT is decomposed into multiple time series components to eliminate the interaction between different time scales of information, thus reducing the prediction difficulty. Finally, the sub-prediction model of the extreme learning machine is constructed, and the prediction results of all the sub-models are reconstructed to obtain the final prediction results of TOT. In order to verify the effectiveness of the model, the TOT of an operating transformer for the next two days is predicted in the article, and its mean absolute percentage error (MAPE) is 5.27% and its root mean square error (RMSE) is 2.46. Compared with the BP neural network model and the support vector machines (SVM) model, the MAPE is reduced by 69.56% and 61.92%, respectively, and the RMSE is reduced by 67.02% and 59.87%. The results of this study will provide important support for the fault diagnosis of the top oil temperature online monitoring system.
Membrane-lytic actions of sulphonated methyl ester surfactants and implications to bactericidal effect and cytotoxicity

Pan F, Li Z, Gong H, Petkov JT, Lu JR

J Colloid Interface Sci, 2018 Dec 01;531:18-27.
PMID: 30015167 DOI: 10.1016/j.jcis.2018.07.031

Surfactants are multifunctional molecules widely used in personal care and healthcare formulations to cleanse, help disperse active ingredients (e.g., forming emulsions) and stabilise products. With increasing demands on improving biosafety, there is now mounting pressure to understand how different surfactants elicit toxicities at molecular and cellular levels. This work reports the membrane-lytic behaviour of a group of sulphonated methyl ester (SME) surfactants together with representative conventional surfactants. All surfactants displayed the clear rise of lysis of the model lipid bilayer membranes around their CMCs, but the two ionic surfactants SDS and C12TAB even caused measurable lysis below their CMCs, with membrane-lytic actions increasing with monomer concentration. Furthermore, whilst ionic and nonionic surfactants could achieve full membrane lysis once above their CMCs, this ability was weak from the SME surfactants and decreased with increasing the acyl chain length. In contrast to the conventional anionic surfactants such as SDS and SLES, the protein solubilizing capability of the SME surfactants was also low. On the other hand, MTT assays against 3T3 fibroblast cells and human chondrocyte cells revealed high toxicity from SDS and C12TAB against the other surfactants studied, but the difference between SME and the rest of conventional surfactants was small. Similar behaviour was also observed in their bactericidal effect against E. coli and S. aureus. The trend is broadly consistent with their membrane-lytic behaviour, indicating little selectivity in their cytotoxicity and bactericidal action. These results thus reveal different toxicities implicated from different surfactant head groups. Increase in acyl chain length as observed from SME surfactants could help improve surfactant biocompatibility.
Activation of Nrf2 signaling by sitagliptin and quercetin combination against β-amyloid induced Alzheimer's disease in rats

Li Y, Tian Q, Li Z, Dang M, Lin Y, Hou X

Drug Dev Res, 2019 09;80(6):837-845.
PMID: 31301179 DOI: 10.1002/ddr.21567

The objective of this study was to evaluate the neuroprotective effect of sitagliptin (Sita), quercetin (QCR) and its combination in β-amyloid (Aβ) induced Alzheimer's disease (AD). Male Sprague-Dawley rats, weighing between 220 and 280 g were used for experiment. Rats were divided into 5 groups (n = 10) and the groups were as follows: (a) Sham control; (b) Aβ injected; (c) Aβ injected + Sita 100; (d) Aβ injected + QCR 100; and (e) Aβ injected + Sita 100 + QCR 100. Cognitive performance was observed by the Morris water maze (MWM), biochemical markers, for example, MDA, SOD, CAT, GSH, Aβ1-42 level, Nrf2/HO-1 expression and histopathological study of rat brain were estimated. Pretreatment with Sita, QCR and their combination showed a significant increase in escape latency in particular MWM cognitive model. Further co-administration of sita and QCR significantly reduced Aβ1-42 level when compared with individual treatment. Biochemical markers, for example, increased SOD, CAT and GSH, decreased MDA were seen, and histopathological studies revealed the reversal of neuronal damage in the treatment group. Additionally, Nrf2/HO-1 pathway in rat's brain was significantly increased by Sita, QCR and their combination. Pretreatment with QCR potentiates the action of Sita in Aβ induced AD in rats. The improved cognitive memory could be because of the synergistic effect of the drugs by decreasing Aβ1-42 level, antioxidant activity and increased expression of Nrf2/HO-1 in rat brain.
Fulltext RNAi-mediated down-regulation of the expression of OsFAD2-1: effect on lipid accumulation and expression of lipid biosynthetic genes in the rice grain

Tiwari GJ, Liu Q, Shreshtha P, Li Z, Rahman S

BMC Plant Biol, 2016 08 31;16(1):189.
PMID: 27581494 DOI: 10.1186/s12870-016-0881-6

BACKGROUND: The bran from polished rice grains can be used to produce rice bran oil (RBO). High oleic (HO) RBO has been generated previously through RNAi down-regulation of OsFAD2-1. HO-RBO has higher oxidative stability and could be directly used in the food industry without hydrogenation, and is hence free of trans fatty acids. However, relative to a classic oilseed, lipid metabolism in the rice grain is poorly studied and the genetic alteration in the novel HO genotype remains unexplored.
RESULTS: Here, we have undertaken further analysis of role of OsFAD2-1 in the developing rice grain. The use of Illumina-based NGS transcriptomics analysis of developing rice grain reveals that knockdown of Os-FAD2-1 gene expression was accompanied by the down regulation of the expression of a number of key genes in the lipid biosynthesis pathway in the HO rice line. A slightly higher level of oil accumulation was also observed in the HO-RBO.
CONCLUSION: Prominent among the down regulated genes were those that coded for FatA, LACS, SAD2, SAD5, caleosin and steroleosin. It may be possible to further increase the oleic acid content in rice oil by altering the expression of the lipid biosynthetic genes that are affected in the HO line.
The Jasmonic Acid Signaling Pathway is Associated with Terpinen-4-ol-Induced Disease Resistance against Botrytis cinerea in Strawberry Fruit

Li Z, Wei Y, Cao Z, Jiang S, Chen Y, Shao X

J Agric Food Chem, 2021 Sep 15;69(36):10678-10687.
PMID: 34468130 DOI: 10.1021/acs.jafc.1c04608

Terpinen-4-ol, the main component of tea tree oil, markedly increases the disease resistance of postharvest strawberry fruit. To understand the mechanism underlying the enhancement of disease resistance, a high-throughput RNA-seq was used to analyze gene transcription in terpinen-4-ol-treated and untreated fruit. The results show that terpinen-4-ol induces the expression of genes in the jasmonic acid (JA) biosynthesis pathway, secondary metabolic pathways such as phenylpropanoid biosynthesis, and pathways involved in plant-pathogen interactions. Terpinen-4-ol treatment reduced disease incidence and lesion diameter in strawberry fruit inoculated with Botrytis cinerea. Terpinen-4-ol treatment enhanced the expression of genes involved in JA synthesis (FaLOX, FaAOC, and FaOPR3) and signaling (FaCOI1), as well as genes related to disease defense (FaPAL, FaCHI, and FaGLU). In contrast, treatment with the JA biosynthesis inhibitor salicylhydroxamic acid (SHAM) accelerated disease development and inhibited the induction of gene expressions by terpinen-4-ol. We conclude that the JA pathway participates in the induction of disease resistance by terpinen-4-ol in strawberry fruit. More generally, the results illuminate the mechanisms by which disease resistance is enhanced by essential oils.
Reaction-diffusion model to quantify and visualize mass transfer and deactivation within core-shell polymeric microreactors

Goh KB, Li Z, Chen X, Liu Q, Wu T

J Colloid Interface Sci, 2022 Feb 15;608(Pt 2):1999-2008.
PMID: 34749148 DOI: 10.1016/j.jcis.2021.10.092

HYPOTHESIS: The performance of a polymeric core-shell microreactor depends critically on (i) mass transfer, (ii) catalyzed chemical reaction, and (iii) deactivation within the nonuniform core-shell microstructure environment. As such, these three basic working principles control the active catalytic phase density in the reactor.
THEORY: We present a high-fidelity, image-based nonequilibrium computational model to quantify and visualize the mass transport as well as the deactivation process of a core-shell polymeric microreactor. In stark contrast with other published works, our microstructure-based computer simulation can provide a single-particle visualization with a micrometer spatial accuracy.
FINDINGS: We show how the interplay of kinetics and thermodynamics controls the product-induced deactivation process. The model predicts and visualizes the non-trivial, spatially resolved active catalyst phase patterns within a core-shell system. Moreover, we also show how the microstructure influences the formation of foulant within a core-shell structure; that is, begins from the core and grows radially onto the shell section. Our results suggest that the deactivation process is highly governed by the porosity/microstructure of the microreactor as well as the affinity of the products towards the solid phase of the reactor.
Fulltext Characterization of the complete plastid genome and phylogenetic analysis of Oreocharis argyreia var. angustifolia (Gesneriaceae)

Xu G, Li Z, Chen Z, Lee SY, Kong X

Mitochondrial DNA B Resour, 2023;8(10):1137-1140.
PMID: 37928400 DOI: 10.1080/23802359.2023.2270207

Oreocharis argyreia var. angustifolia of Gesneriaceae is widely distributed in South China, including Guangdong, Guangxi, Hunan, and Jiangxi provinces. However, genetic information of this species is limited, further contributing to the taxonomic complications surrounding this species. Thus, in this study, we assembled and characterized the complete chloroplast genome of O. argyreia var. angustifolia as a genomic resource for future studies. The complete plastid genome was 154,675 bp in size, with a pair of inverted repeat regions of 25,329 bp each, separating the 85,977-bp large and 18,040-bp small single copy regions. A total of 131 genes were predicted, consisting of 86 protein-coding, 37 tRNA, and eight rRNA genes. The overall GC content was 37.6%. Phylogenetic analysis based on 79 shared unique CDS resulted in a fully resolved phylogenetic tree using both the maximum likelihood and Bayesian inference methods. Based on current circumscription, both methods indicated that Oreocharis is monophyletic; O. argyreia var. angustifolia diverged after O. chienii, which then followed by the divergence of the other three species included namely, O. continifolia, O. esquirolii, and O. mileensis. The genomic data obtained will be useful for future studies on the phylogenetics and evolution of Gesneriaceae.
Interfacial behavior, gelation and foaming properties of diacylglycerols with different acyl chain lengths and isomer ratios

Li Z, Ying Lee Y, Wang Y, Qiu C

Food Chem, 2023 Nov 30;427:136696.
PMID: 37392626 DOI: 10.1016/j.foodchem.2023.136696

Diacylglycerols (DAG) of varying chain lengths were synthesized and the acyl migrated samples with different 1,3-DAG/1,2-DAG ratios were obtained. The crystallization profile and surface adsorption differed depending on DAG structure. C12 and C14 DAGs formed small platelet- and needle-like crystals at the oil-air interface which can better reduce surface tension and pack in an ordered lamellar structure in oil. The acyl migrated DAGs with higher ratios of 1,2-DAG showed reduced crystal size and lower oil-air interfacial activity. C14 and C12 DAG oleogels exhibited higher elasticity and whipping ability with crystal shells surrounding bubbles, whereas C16 and C18 DAG oleogels had low elasticity and limited whipping ability due to the formation of aggregated needle-like crystals and loose gel network. Thus, acyl chain length dramatically influences the gelation and foaming behaviors of DAGs whereas the isomers exert little influence. This study provides basis for applying DAG of different structures in food products.
Fulltext Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders

Liao Q, Ye Y, Li Z, Chen H, Zhuo L

Front Microbiol, 2023;14:1170559.
PMID: 37187536 DOI: 10.3389/fmicb.2023.1170559

MicroRNAs (miRNAs) are short RNA molecular fragments that regulate gene expression by targeting and inhibiting the expression of specific RNAs. Due to the fact that microRNAs affect many diseases in microbial ecology, it is necessary to predict microRNAs' association with diseases at the microbial level. To this end, we propose a novel model, termed as GCNA-MDA, where dual-autoencoder and graph convolutional network (GCN) are integrated to predict miRNA-disease association. The proposed method leverages autoencoders to extract robust representations of miRNAs and diseases and meantime exploits GCN to capture the topological information of miRNA-disease networks. To alleviate the impact of insufficient information for the original data, the association similarity and feature similarity data are combined to calculate a more complete initial basic vector of nodes. The experimental results on the benchmark datasets demonstrate that compared with the existing representative methods, the proposed method has achieved the superior performance and its precision reaches up to 0.8982. These results demonstrate that the proposed method can serve as a tool for exploring miRNA-disease associations in microbial environments.
Fulltext Fundamental Understanding of Multicellular Triboelectric Nanogenerator with Different Electrical Configurations

Li Z, Gan WC, Tang L, Aw KC

Micromachines (Basel), 2023 Jun 29;14(7).
PMID: 37512644 DOI: 10.3390/mi14071333

The single-cell triboelectric nanogenerator (TENG) often produces insufficient energy, leading to the use of a multicellular TENG structure. This work experimented with and simulated a dual-cell TENG with various configurations in parallel and series arrangements. The working principle of charge generation during each phase of a contact-separation cycle was explained through the analysis and comparison of five electrical configurations of a dual-cell TENG. Our observations indicate that measuring the output charge of a TENG provides a more reliable performance comparison. Finally, multicellular TENG with four cells arranged in an X-shape (X-TENG), self-supporting structure is fabricated and further experimented with, validating our conjectures derived from a dual-cell TENG.
Sustaining the future: How green capabilities and digitalization drive sustainability in modern business

Li Z, Rasool S, Cavus MF, Shahid W

Heliyon, 2024 Jan 15;10(1):e24158.
PMID: 38234898 DOI: 10.1016/j.heliyon.2024.e24158

In recent years, the unprecedented growth in environmental vulnerabilities has made the firms realize the need for environmental protection. With this, the rapid surge for ecological preservation has made worldwide businesses divert their focus toward greener practices that ensure the firm's financial and environmental performance. This study examines the relationships between green management strategies (green dynamic capabilities, internal green supply chain management and green technology adoption), and organizational outcomes, specifically environmental and financial performance. The data was collected from the 471 employees working in the manufacturing firms. Utilizing the Structural Equation Modeling (SEM) method via Smart-PLS, our findings show the importance of integrating green practices in supply chain management, dynamic capabilities, and technology adoption to enhance both environmental and financial outcomes under the moderating role of industry dynamism and green knowledge acquisition.
Fulltext Pre- and post-COVID-19: The impact of the pandemic and stock market psychology on the growth and sustainability of consumer goods industries

Jan N, Li Z, Xiyu L, Farhan Basheer M, Tongkachok K

Front Psychol, 2022;13:796287.
PMID: 36507039 DOI: 10.3389/fpsyg.2022.796287

The objective of this study is to investigate the impact of the COVID-19 pandemic and stock market psychology on investor investment decisions in different business units operating in the Shandong stock market. The sample size of the study consists of 5,000 individuals from six different business units. The study used the event study statistical technique to analyze the market reaction to newly released information from the stock market perspective to assess whether the number of COVID-19 positive cases impacted it. With a Z score value of 40.345 and a P-value of 0.000, the Wilcoxon test indicated that stock prices before and after the pandemic were quite different. The test showed a positive relationship between the pandemic and the stock market. Further, the results indicated that COVID-19 and stock market psychology had a significant positive impact on investor investment decisions in cosmetic and beauty, consumer household, textiles and apparel, and consumer electronics industries; however, in the sporting and consumer appliance industries, it had an insignificant negative impact. This study serves to guide investors to make suitable changes in their stock market trading practices to counter these challenges to increase their required rate of return from their specific stock market investment. The findings have important insights for various stakeholders including governments, regulatory bodies, practitioners, academia, industry, and researchers.
Fulltext Food Consumption Structure and Food Security-Through Mediating Effect Analysis of Agricultural R&D and Agricultural Investment

Bi W, Song Y, Liu Y, Li Z, Zhang Y

Int J Environ Res Public Health, 2022 Sep 30;19(19).
PMID: 36231821 DOI: 10.3390/ijerph191912524

Food security is the cornerstone that ensures the stable development of a country. Based on panel data of 31 provinces (including autonomous regions and municipalities) in China from 2015 to 2019, we use the mediating effect model to explore the mechanism by which food consumption structure affects food security. The results indicate that grain consumption has a significant promoting effect on food security, while plant and animal food consumption have significant inhibiting effects on food security. Furthermore, agricultural R&D and investment play mediating roles in the impact of food consumption structure on food security. Obvious differences exist in the relationship between food consumption structure and food security between urban and rural areas, as well as between Eastern, Central, and Western regions. Animal food consumption had a negative and significant impact on food security, with a stronger effect on rural residents than on urban residents. Compared with the central and western regions, grain consumption and animal food consumption in the eastern region had a stronger marginal impact on food security. This paper enriches and expands the research on influencing factors of food security from the perspective of consumer demand, which has important theoretical value and practical significance for ensuring food security.
Guiding clean energy transitions in rural households: Insights from China's pilot low-carbon policies

Li Z, Meng F, Wu S, Afthanorhan A, Hao Y

J Environ Manage, 2024 Nov;370:122782.
PMID: 39369521 DOI: 10.1016/j.jenvman.2024.122782

The impact of Low Carbon Pilot Policies (LCPPs) on carbon reduction and energy efficiency has been extensively studied. However, the potential of these policies to promote clean energy transition (CET) in rural households remains underexplored. This article constructed a staggered-DID model using data from the China Family Panel Studies (CFPS) to investigate the impact and mechanisms of LCPPs on rural households' CET. The findings indicate that LCPPs significantly enhance the CET among rural households. Moreover, the effects of LCPPs vary across cities, while differences within communities and households are less pronounced. Mechanism analysis reveals that LCPPs facilitate rural households' CET through income effects, infrastructure improvements, and enhanced low-carbon awareness. Notably, the income and low-carbon awareness effects are heterogeneous. Additionally, LCPPs have increased rural households' expenditures on home-cooked meals. We estimate the average fixed cost of the CET for rural households to be approximately $404.495. These insights provide valuable empirical evidence that can guide other countries and regions in promoting CET in rural areas.
Fulltext The Effects of High-Intensity Interval Training on Basketball Players: A Systematic Review and Meta-Analysis

Cao S, Li Z, Wang Z, Geok SK, Liu J

J Sports Sci Med, 2025 Mar;24(1):31-51.
PMID: 40046212 DOI: 10.52082/jssm.2025.31

This review aims to evaluate the effectiveness of HIIT on basketball players' physical fitness and skill-related performance. This study adhered to the PRISMA guidelines and included randomized controlled trials (RCTs) that investigated the effects of HIIT on basketball players. The databases searched included Web of Science, Scopus, PubMed, and SPORTDiscus (up to 4 March 2024). The meta-analysis used a random-effects model, with effect sizes (ES) calculated for various performance outcomes. A total of 15 studies, with a low risk of bias or some concerns of bias, including 369 players (130 females, 239 males) at the developmental level, national level, and international level, were included in the systematic review, with 7 of these included in the meta-analysis. The systematic review indicated that HIIT significantly improved cardiovascular endurance, power, change of direction (COD) ability, linear sprint, and basketball skill-related performance. However, the effects on certain physical aspects such as VO2max, the Yo-Yo intermittent recovery test level 1 (Yo-Yo IR 1), jump tests, ball throw test, 20-m COD sprint test, T-test, 20-m linear sprint, and basketball-specific skills such as shooting accuracy and passing were inconsistent. The meta-analysis revealed a very large effect on the Yo-Yo IR 1 (ES = 2.32; p = 0.000), a moderate effect on VO2max (ES = 0.90; p = 0.000), T-test performance (ES = 0.91; p = 0.000), and CMJ height (ES = 0.76; p = 0.000), and a small effect on the 20-m sprint test (ES = 0.59; p = 0.006). HIIT appears to be an effective training method for improving general physical fitness and certain basketball-specific skills, particularly endurance, power, and agility. However, its impact on more skill-specific aspects, such as shooting accuracy and passing, requires further investigation. Coaches should consider supplementing HIIT with targeted skill training and carefully plan its timing, ideally incorporating HIIT during pre-season or off-season periods for optimal effectiveness. Further research is needed to explore the differential effects of HIIT across various age groups and playing levels.
Theory of Mind Among Swedish Children with ASD, Down Syndrome and Typically Developing Group

Shojaeian N, Li Z, Kaurav RPS, Salem AAMS

J Autism Dev Disord, 2022 Nov;52(11):4774-4782.
PMID: 35028807 DOI: 10.1007/s10803-021-05366-1

The present study examined the role of IQ and the Theory of Mind understanding in children with an autism spectrum disorder and down syndrome. Sixty-six Swedish children with ASD (n = 26), DS (n = 18), and typically developed group (n = 22) ranged between 6 and 12 years old were compared on ToM tasks consisted of standard ToM and IQ tasks. SPSS 25 program was used to analyze data. The results indicated that individuals with ASD reach a better understanding of first-order ToM tasks than children with DS. This picture was the same in the TD group to show better ability than children with ASD and DS on first-order tasks, except one task which was not found significant differences. To employ second-order TD performed better than clinical groups, while, there was no significant difference between ASD and DS. The scores for the third-order task in children with ASD were significantly better than children with DS.
Fulltext Refining weak supervision for robust lung cavity segmentation: A graph-affinity method with boundary constraints

Ding Z, Tan Z, Madzin H, Li Z, Liu J

PLoS One, 2026;21(2):e0341717.
PMID: 41666257 DOI: 10.1371/journal.pone.0341717

Pixel-level annotation of lung cavities (LCs) in computed tomography (CT) images is challenging due to their morphological diversity and complexity. Weakly supervised semantic segmentation (WSSS) methods, which utilize sparse annotations (e.g., image-level labels), offer a promising solution. However, existing WSSS approaches often generate coarse pseudo-labels and lack sufficient spatial supervision, resulting in under- or over-segmentation of irregular lesions. To address these limitations, we introduce several key innovations. First, we propose a novel Graph-based Affinity Network (GA-Net) that, unlike conventional methods relying on low-level pixel features, models long-range contextual relationships and structural dependencies using a superpixel graph and learned edge inference kernel, enabling structure-aware pseudo-label refinement for complex lesion morphology. Second, we introduce region-wise affinity propagation, which refines segmentation by propagating activations within semantically coherent 3D regions, offering more precise control over under-/over-segmentation compared to global affinity methods. Additionally, we incorporate Exponential Moving Average (EMA) ensembling for training stability and a scribble-based segmentation module that utilizes pseudo-label contours to provide direct boundary supervision. Extensive experiments on three benchmark datasets demonstrate that our method outperforms existing state-of-the-art medical WSSS techniques, achieving precise and reliable segmentation of complex LCs in CT scans.

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