Xi Huang, Yuling Yang, Xun Zhang, Yanxia Zhang, Hong Zeng
{"title":"FreqPolyp: Single-Source Domain Generalization for Polyp Segmentation via Amplitude Decoupling and Wavelet Cross-Attention","authors":"Xi Huang, Yuling Yang, Xun Zhang, Yanxia Zhang, Hong Zeng","doi":"10.1111/nyas.70399","DOIUrl":"10.1111/nyas.70399","url":null,"abstract":"<div>\u0000 \u0000 <p>Accurate segmentation of colorectal polyps is important for colorectal cancer prevention. However, domain shifts across medical centers and blurred boundaries of diminutive lesions remain major challenges for robust polyp segmentation. We propose FreqPolyp, a frequency-domain polyp segmentation framework designed for single-source domain generalization. At the input stage, the frequency domain augmentation module perturbs amplitude-related appearance statistics while preserving phase-related structural information, thereby reducing dependence on source-domain photometric styles without using target-domain data. At the decoding stage, the wavelet dual-stream fusion module uses discrete wavelet transform to extract high-frequency boundary cues and semantic-guided cross-attention to refine low-contrast lesion boundaries. In addition, a hybrid spatial-frequency supervision strategy combines amplitude-domain spectral consistency with phase-aware structural consistency. Experiments on five public benchmarks show that FreqPolyp achieves mDice/mIoU scores of 0.849/0.738 on ColonDB and 0.831/0.711 on ETIS, with an average unseen-domain mDice/mIoU of 0.865/0.765 across ColonDB, ETIS, and CVC-300. Under the tested RTX 3090 setting, FreqPolyp contains 26.2 M parameters and reaches 58 FPS. These results suggest that FreqPolyp provides a favorable accuracy–efficiency trade-off under public benchmark and controlled GPU evaluation settings.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Atypical Inter-Brain Synchrony Network Couples With Behavioral and Linguistic Impairments in Autism Spectrum Disorder","authors":"Yuhang Li, Yiting Zhu, Yingbo Geng, Danyong Feng, Shuo Guan, Dongyun Li, Yingchun Zhang, Lianni Mei, Xingyu Ding, Qiong Xu, Rihui Li","doi":"10.1111/nyas.70401","DOIUrl":"10.1111/nyas.70401","url":null,"abstract":"<div>\u0000 \u0000 <p>Social difficulty is a core phenotype of autism spectrum disorder (ASD), yet its mechanisms remain poorly understood due to insufficient integration of interpersonal neural dynamics with real-world behavioral and linguistic impairments. This study elucidated this integrated mechanism by investigating inter-brain synchrony (IBS) networks between 44 children with ASD and 48 typically developing children and their caregivers. Using functional near-infrared spectroscopy during puzzle-solving and free-talking tasks, an interpretable graph neural network identified ASD-specific atypical IBS subnetworks. ASD dyads exhibited task-dependent, modular atypical IBS patterns: abnormal coupling between caregivers’ frontal eye field (FEF)/dorsolateral prefrontal cortex (DLPFC) and children's motor regions during puzzle solving, and defective synchronization between children's DLPFC and caregivers’ FEF during free talking. Concurrently, ASD children exhibited significant behavioral impairments and atypical linguistic features. Finally, atypical IBS subnetworks significantly predicted autism-related symptoms, including restricted and repetitive behaviors, socialization, communication, and executive function. These findings reveal that social difficulty in ASD is underpinned by an integrated neural−behavioral−linguistic mechanism, advancing our understanding and laying a foundation for personalized interventions targeting dyadic social interaction.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148988017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Social Connection and Epigenetic Aging: Insights from DNA Methylation Clocks","authors":"Feifei Bu, Daisy Fancourt","doi":"10.1111/nyas.70402","DOIUrl":"10.1111/nyas.70402","url":null,"abstract":"<p>Social connection is increasingly recognized as a determinant of healthy aging, yet the biological pathways through which it operates remain underexplored. Using data from the Health and Retirement Study (<i>n</i> = 2343), this study examined the associations of different dimensions of social connection (social isolation, loneliness, positive and negative relationship quality) with accelerated epigenetic aging measured by second-generation and third-generation clocks. Results from doubly robust estimation analyses revealed that baseline social isolation was associated with both the second- and third-generation clocks at 10-year follow-up (e.g., GrimAge2: ATE = 0.79, 95% confidence interval [CI] = [0.26, 1.33]), while loneliness was only associated with the third-generation clocks (e.g., DunedinPACE: ATE = 0.014, 95% CI = [0.001, 0.027]). Although relationship quality showed limited independent associations, co-occurring social connection deficits were associated with accelerated epigenetic aging, with the fastest epigenetic aging observed among individuals who were socially isolated, lonely, and with low positive and high negative relationship quality (e.g., DunedinPACE: 1.087, 95% CI = [1.066, 1.107] vs. 1.027, 95% CI = [1.019, 1.035]). Further analyses showed a longitudinal accumulation of social isolation was most strongly associated with accelerated epigenetic aging, whereas earlier loneliness exposures appeared to have the strongest associations. These findings highlight the importance of examining social connection both across multiple domains and over time.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70402","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148988024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Urea-Predoped, KOH-Activated, Corn Stover–Derived Carbon for CO2 Adsorption","authors":"Yize Dang, Zilong Chen, Chengzhuang Zhang, Zhiqiang Han, Zinong Zuo, Kun Liang, Jia Fang","doi":"10.1111/nyas.70406","DOIUrl":"10.1111/nyas.70406","url":null,"abstract":"<div>\u0000 \u0000 <p>The rising concentration of greenhouse gases causes severe global warming, creating an urgent need for efficient and low-cost carbon dioxide (CO<sub>2</sub>) adsorption technologies. Corn stover is an abundant agricultural waste that is often underutilized, leading to resource waste and environmental pollution. To develop value-added utilization of this material, corn stover−derived activated carbon is prepared via urea predoping and controlled potassium hydroxide (KOH) etching, while the effects of pyrolysis temperature, urea doping ratio, KOH dosage, and activation temperature are investigated. Under pure CO<sub>2</sub> at 25°C, the optimal adsorbent exhibits an equilibrium CO<sub>2</sub> adsorption capacity of 3.57 mmol·g<sup>−1</sup>. Under pure CO<sub>2</sub> at 0°C, the equilibrium capacity increases to 5.91 mmol·g<sup>−1</sup>, indicating that lower temperature favors CO<sub>2</sub> physical adsorption. Under a typical flue gas composition of 20% CO<sub>2</sub>/80% N<sub>2</sub> at 25°C, the adsorbent achieves a CO<sub>2</sub> uptake of 1.78 mmol·g<sup>−1</sup> after 50 min. The adsorbent exhibits an ideal adsorbed solution theory CO<sub>2</sub>/N<sub>2</sub> selectivity of 30.92. The isosteric heat of adsorption ranges from 28.42 to 23.75 kJ·mol<sup>−1</sup>. These values suggest predominantly physical adsorption on heterogeneous sites associated with nitrogen functionalities and structural defects. This study offers insights into the design of biomass-derived CO<sub>2</sub> adsorbents based on corn stover.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148973200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ARMOR: Pareto-Aware Dynamic Routing for Energy-Efficient Heterogeneous Multimodal Perception in Autonomous Driving","authors":"Junli Liu, Yinggui Zhang, Yanzhan Chen, Yue Wang","doi":"10.1111/nyas.70397","DOIUrl":"10.1111/nyas.70397","url":null,"abstract":"<div>\u0000 \u0000 <p>Modern autonomous driving systems are constrained by the tension between high-fidelity perception and stringent onboard energy conservation. We propose adaptive routing of multimodal onboard reasoning (ARMOR), an end-to-end heterogeneous mixture-of-experts framework that dynamically routes inputs between computationally efficient pure-vision experts and robust radar-vision fusion experts. A lightweight context-aware gating network, the multimodal adaptive routing sentinel (MARS), integrates temporal context and environmental priors to select appropriate experts. ARMOR was optimized using a unified cost-conditioned multiobjective loss, enabling a single model to learn routing policies across an empirical cost–performance trade-off frontier and adapt to different operational preferences. To improve reliability in high-uncertainty scenarios, an evidential-learning-based sentry mechanism was used to trigger fallback to a high-fidelity fusion expert. Experiments on the simulation-generated CARLA-SUMO multimodal object detection dataset (CSODD) showed that ARMOR-safety retains 98.1% of the mean average precision of the strongest fusion baseline while reducing average floating-point operations per second (FLOPs), latency, and the profiled GPU-side inference-energy proxy by 66.3%, 64.4%, and 65.8%, respectively. In adverse weather, it improved mean average precision by 58.3% over high-performance pure-vision models and reduced the critical-object miss rate by more than 50%. These results provide controlled framework-level evidence, but do not establish cross-dataset generalization or real-road deployment performance.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148973201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samaneh Fatehi, Jonathan V. Rocheleau, Michael C. Riddell
{"title":"Intra-Islet Paracrine Regulation of Glucagon Secretion During Hypoglycemia, Euglycemia, and Hyperglycemia","authors":"Samaneh Fatehi, Jonathan V. Rocheleau, Michael C. Riddell","doi":"10.1111/nyas.70384","DOIUrl":"10.1111/nyas.70384","url":null,"abstract":"<p>The regulation of glucagon and insulin secretion, from pancreatic α- and β-cells, respectively, is essential for maintaining blood glucose within the physiological set point. Insulin secretion is stimulated as glucose rises from euglycemia, with incretin hormones modulating the secretion in a glucose-dependent manner. Glucagon secretion is elevated with hypoglycemia but also with hyperglycemia. Within the pancreatic islet, α-cell glucagon output is regulated by complex neuroendocrine and paracrine signals from insulin-releasing β-cells and somatostatin-secreting δ-cells. This network of intra-islet crosstalk tunes glucagon secretion in response to changes in glucose levels. In diabetes, intra-islet paracrine crosstalk between <span></span><math>\u0000 <semantics>\u0000 <mi>α</mi>\u0000 <annotation>${{alpha}}$</annotation>\u0000 </semantics></math>-, β-, and δ-cells is disrupted. Autoimmune destruction of β-cells or impaired α-cell responsiveness to residual β-cell signals leads to hyperglucagonemia. Conversely, the loss of controlled insulin secretion, along with elevated somatostatin levels, attenuates glucagon responses to hypoglycemia or to prolonged exercise. Antihypoglycemia therapies such as selective somatostatin receptor 2 antagonists have emerged as a novel strategy in managing iatrogenic insulin-induced hypoglycemia. This review summarizes the latest experimental findings on the regulation of glucagon secretion by pancreatic β- and δ-cells, examines how this paracrine regulation of <span></span><math>\u0000 <semantics>\u0000 <mi>α</mi>\u0000 <annotation>${{alpha}}$</annotation>\u0000 </semantics></math>-cell secretion is affected in diabetes, and highlights potential interventions aimed at restoring physiological glucagon dynamics.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70384","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148958008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Balance Biomarkers and Interpretable Evaluation of Disease Severity in Spinocerebellar Ataxia Type 3","authors":"Yue Zhang, Yuanyuan Xiao, Kai-Liang Luo, Wei Lin, Wanli Zhang, Xia Liu, Qi-Kui Sun, Ru-Ying Yuan, Jun Ni, Shi-Rui Gan, Xin-Yuan Chen","doi":"10.1111/nyas.70398","DOIUrl":"https://doi.org/10.1111/nyas.70398","url":null,"abstract":"<div>\u0000 \u0000 <p>The clinical assessment of spinocerebellar ataxia type 3 (SCA3) is hindered by subjective factors and inter-rater variability. This study utilizes a previously validated wearable plantar pressure insole system established in our prior work to build a multiscenario digital balance detection framework, and assesses its efficacy in differentiating SCA3 patients from healthy individuals and in evaluating disease severity. The study involved 74 SCA3 patients and 45 healthy controls, who were equipped with custom-developed plantar force sensors to perform standing tasks with eyes open (EO) and eyes closed (EC). Center of pressure (COP) variables were analyzed to determine their correlation with clinical characteristics and their discriminative capability. An XGBoost model was employed to classify disease severity, with SHAP analysis providing enhanced interpretability. COP variables derived from EC tasks demonstrated superior performance in terms of area under the curve, accuracy, sensitivity, and specificity compared to those from EO tasks. Significant correlations were identified between COP variables, such as the eyes closed, left side sway velocity (EC-L velocity) SD, and clinical scores (<i>r</i> > 0.4). The model achieved an accuracy of 87% in classifying disease severity, with SHAP analysis highlighting key variables and interactions. COP variables offer a robust, multidimensional measure of motor dysfunction.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tiecheng Su, Mingzhang Pan, Lu Liang, Chun Ma, Yu Cai, Weizhe Feng, Ke Liang
{"title":"A Two-Stage Grip Force Estimation Method for Surgical Robots Based on BiLSTM-iTransformer","authors":"Tiecheng Su, Mingzhang Pan, Lu Liang, Chun Ma, Yu Cai, Weizhe Feng, Ke Liang","doi":"10.1111/nyas.70396","DOIUrl":"https://doi.org/10.1111/nyas.70396","url":null,"abstract":"<div>\u0000 \u0000 <p>In robot-assisted minimally invasive surgery, precise grasping force feedback is a key factor for enabling delicate manipulation and reducing tissue damage. However, due to confined workspaces and frequent visual occlusions, achieving force feedback via integrated sensors or image signals remains challenging. To obtain grasping-force feedback for single-port surgical robots, this study proposes a two-stage force estimation framework combining Bidirectional Long Short-Term Memory-improved Transformer (BiLSTM-iTransformer) with time-series features. First, the prediction task is separated into contact state classification and grasping force regression, which effectively reduces misclassification in noncontact states. Then, a dynamic transition window and multiorder differencing are introduced to further improve the prediction performance. Furthermore, the improved Transformer incorporates a dynamic relative position–encoding mechanism, dilated convolution layers, and a learnable scaling factor, while integrating BiLSTM to enhance temporal modeling capacity. The framework was validated on known and unknown material datasets. Results confirm robust performance in both classification and regression tasks. The proposed method achieved classification accuracies of 93.83% and 91.63% on the two datasets, respectively. For regression, it attained an RMSE of 0.64, outperforming comparative models. This study provides a feasible sensorless force feedback solution, offering potential value for enhancing surgical safety and precision.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reza Fahimi, Abdulaziz Alrubayyi, Muntaha Hassan, Thomas M. Barber, Olalekan A. Uthman
{"title":"Individual and Contextual Socioeconomic Position on Type 2 Diabetes Risk in LMICs: A Multilevel Analysis","authors":"Reza Fahimi, Abdulaziz Alrubayyi, Muntaha Hassan, Thomas M. Barber, Olalekan A. Uthman","doi":"10.1111/nyas.70400","DOIUrl":"10.1111/nyas.70400","url":null,"abstract":"<p>Type 2 diabetes mellitus (T2DM) represents a growing public health challenge in low- and middle-income countries (LMICs), where urbanization and socioeconomic disparities amplify its burden. This study examined the influence of individual- and neighborhood-level socioeconomic factors on T2DM risk using a multilevel framework. Cross-sectional data from 14 nationally representative Demographic and Health Surveys conducted between 2013 and 2023 were analyzed, including 1,090,328 individuals within 38,174 neighborhoods. Multilevel logistic regression models were fitted to estimate associations between socioeconomic indicators and T2DM risk. Contextual variation was quantified using variance partition coefficients and median odds ratios. Higher individual-level wealth was associated with increased odds of T2DM (OR = 1.30, 95% CI: 1.24–1.36), while education showed no protective association. At the neighborhood level, urban residence (OR = 1.09, 95% CI: 1.01–1.17) and greater community socioeconomic disadvantage were independently associated with higher T2DM risk. Neighborhood factors accounted for 32.2% of the total variance, and moving to a higher-risk neighborhood was associated with a 3.29-fold increase in median odds. Socioeconomic contexts at both individual and contextual levels independently shape T2DM risk in LMICs, underscoring the importance of place-based public health strategies alongside individual-level interventions.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70400","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148922683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yizhou Liu, Xiaojian Cao, Danxia Huang, Hongmei Luo, Song Zhang, Yujie Yang, Qiuzhi Zhou, Yajie Li, Jia Xu, Hong Chen
{"title":"PIEZO1 Mediates Myoblast Proliferation Under Simulated Microgravity","authors":"Yizhou Liu, Xiaojian Cao, Danxia Huang, Hongmei Luo, Song Zhang, Yujie Yang, Qiuzhi Zhou, Yajie Li, Jia Xu, Hong Chen","doi":"10.1111/nyas.70362","DOIUrl":"10.1111/nyas.70362","url":null,"abstract":"<div>\u0000 \u0000 <p>Skeletal muscle atrophy is a major health risk of prolonged spaceflight, yet how microgravity reshapes muscle cells through mechanotransduction remains poorly understood. Here, we examined the mechanosensitive cation channel PIEZO1 in myoblast proliferation under simulated microgravity. Using a two-dimensional clinostat combined with Hi-C-based 3D genomics, transcriptomics, and functional assays, we found that simulated microgravity promotes C2C12 myoblast proliferation and upregulates <i>Piezo1</i>. Piezo1 mRNA knockdown reduced both proliferation and depolarization-induced Ca<sup>2</sup><sup>+</sup> influx, each partially restored under simulated microgravity, consistent with PIEZO1 being a central mediator of the response. Simulated microgravity also drove extensive 3D genome reorganization alongside changes in proliferation-related gene expression. Integrating chromatin architecture with transcriptomics, we found that PIEZO1 inhibition increased Elavl2 mRNA expression, PIEZO1 activation suppressed Elavl2 mRNA expression, and Elavl2 mRNA knockdown enhanced cell proliferation. These findings define a PIEZO1–ELAVL2 mechanotransduction axis, coupled to 3D chromatin remodeling, that regulates myoblast proliferation under simulated microgravity, and thus may be a target for countering spaceflight-associated muscle dysfunction.</p>\u0000 </div>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1563 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148915513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}