Journal of thermal biology最新文献

{"title":"Comparative transcriptome analyses reveal the acute heat stress response of a cool-temperate shrimp Fenneropenaeus chinensis","authors":"Haochen Zhu ,&nbsp;Xiaojun Zhang ,&nbsp;Xiaoxi Zhang ,&nbsp;Jianbo Yuan ,&nbsp;Zhenxia Sha ,&nbsp;Fuhua Li","doi":"10.1016/j.jtherbio.2025.104087","DOIUrl":"10.1016/j.jtherbio.2025.104087","url":null,"abstract":"<div><div>Temperature is a critical environmental factor in ecosystems, and understanding the integrated response of different tissues to heat stress is essential for elucidating the study, we conducted a comparative transcriptome analysis of three tissues, hepatopancreas, gill, and muscle, of the Chinese shrimp (<em>Fenneropenaeus chinensi</em>s) under heat stress conditions. The results reveal that the three tissues exhibit distinct gene expression patterns, which may imply a certain degree of interaction or coordination among them. Specifically, under heat stress, genes related to amino acid synthesis and utilization were down-regulated in both hepatopancreas and gill, leading to the inhibition of various metabolic pathways including carbohydrates, lipids, amino acids, and nucleic acid metabolism. However, in the muscle, genes related to protein synthesis and energy-consuming processes, including heat shock proteins (HSPs) and muscle proteins, were up-regulated accompanied by an increase in protein content. In the gill, 16.2% of the differentially expressed genes (DEGs) which were related to the cytoskeleton were significantly down-regulated. These results suggest that, in the hepatopancreas and gill, energy flow was inhibited towards synthetic reactions, particularly amino acid synthesis, as characterized by a decrease in protein content to conserve energy. This conserved energy is then reallocated to muscle for increased protein synthesis to maintain muscle function to cope with heat stress. This research not only provides comprehensive insights into the molecular mechanisms of <em>F. chinensis</em> in response to heat stress but also lays a foundation for understanding the strategies employed by thermosensitive marine invertebrates to adapt to high temperature environments.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"129 ","pages":"Article 104087"},"PeriodicalIF":2.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Daily brief whole-body immersion in 14 °C water temporarily decreases glucose tolerance and insulin sensitivity","authors":"Rima Solianik,&nbsp;Laura Jarutiene,&nbsp;Marius Brazaitis","doi":"10.1016/j.jtherbio.2025.104088","DOIUrl":"10.1016/j.jtherbio.2025.104088","url":null,"abstract":"<div><div>Despite growing popularity, experimental evidence regarding the impact of daily cold exposure as an intervention for metabolic health has been lacking, especially with brief cold exposures. Thus, we aimed to investigate the effects of brief repeated whole-body immersion in 14 °C water on glucose tolerance, insulin sensitivity, and resting energy expenditure (REE) in young, nonobese adults. Twelve participants completed sixteen daily 10-min sessions involving whole-body immersion in 14 °C water. Changes in resting catecholamines, REE, and substrate oxidation were assessed in the overnight fasting state, while changes in glucose and insulin were assessed both in the overnight fasting state and during an oral glucose tolerance test before and 24 h after the intervention, and 1 week after the end of the intervention. The findings showed that daily brief cold water immersion (CWI) did not affect adrenaline, noradrenaline, REE, and substrate oxidation rate. However, daily CWI significantly decreased (<em>p</em> &lt; 0.05) glucose tolerance as indicated by increased glucose area under the curve and insulin sensitivity as indicated by decreased Matsuda insulin sensitivity index. However, these effects were temporary and, after 1 week, the values returned to baseline. In conclusion, 16 daily sessions of brief 10-min whole-body immersion in 14 °C water temporarily decreased insulin sensitivity and glucose tolerance.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"129 ","pages":"Article 104088"},"PeriodicalIF":2.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acclimation effects on thermal locomotor performance of the invasive Polyphagous Shot Hole Borer beetle, Euwallacea fornicatus (Coleoptera: Curculionidae: Scolytinae)","authors":"Madeleine Pienaar,&nbsp;Anandi Bierman,&nbsp;Francois Roets,&nbsp;John S. Terblanche","doi":"10.1016/j.jtherbio.2025.104068","DOIUrl":"10.1016/j.jtherbio.2025.104068","url":null,"abstract":"<div><div>The Polyphagous Shot Hole Borer (PSHB; <em>Euwallacea fornicatus,</em> Coleoptera: Curculionidae: Scolytinae) is an invasive and destructive tree pest. To assess whether thermal acclimation influences <em>E. fornicatus</em> locomotion performance (i.e., induced plastic responses) that may influence invasion potential, beetles were acclimated to three temperatures (18 °C, 25 °C, and 32 °C), and four locomotion traits were measured across six temperatures (13 °C, 18 °C, 23 °C, 28 °C, 33 °C and 38 °C) per acclimation group to construct thermal performance curves, capturing critical thermal minimum (T_min), critical thermal maximum (T_max), thermal breadth (T_br), optimal performance rate (U_max). Substantial plasticity of performance curves was found in <em>E. fornicatus</em>. Generally, cold (18 °C) acclimation increased the thermal range of several locomotor performance traits without affecting performance levels, thereby supporting the colder-is-better hypothesis. To assess the consequences of these plastic responses, using the thermal performance curves established here, movement rates of <em>E. fornicatus</em> in an at-risk orchard area in South Africa were predicted across seasons while considering artificial warm and cold spells. Cold-acclimated beetles exhibited the highest cumulative distance traveled in both summer and winter, while warm-acclimated beetles had the lowest. Therefore, short-term thermal variation significantly influenced <em>E. fornicatus</em> locomotion performance, with cold acclimation notably improving dispersal across a wide range of thermal conditions. These findings highlight the importance of considering recent thermal history when predicting <em>E. fornicatus</em> invasion potential. By integrating these data with microclimatic conditions and functional models, this study offers valuable insights for predicting <em>E. fornicatus</em> spread, informing targeted management strategies, and refining spatially explicit risk assessments to mitigate the impacts of this invasive pest.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104068"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A practical deep learning model for core temperature prediction of specialized workers in high-temperature environments","authors":"Xinge Han ,&nbsp;Jiansong Wu ,&nbsp;Zhuqiang Hu ,&nbsp;Chuan Li ,&nbsp;Xiaofeng Hu","doi":"10.1016/j.jtherbio.2025.104079","DOIUrl":"10.1016/j.jtherbio.2025.104079","url":null,"abstract":"<div><div>The health issues of hazardous operations in high-temperature environments are increasing concerns to the public, especially since global warming and extreme weather conditions have made the high-temperature work more frequent and harsher. The abnormal elevation of human core temperature (T_cr) due to high temperatures directly leads to a decline in physiological functions and may trigger various heat-related health issues, which is especially threatening for those working in such conditions. However, continuous real-time T_cr monitoring and prediction are challenging, particularly considering the hazardous operations in extremely hot environments. To address this problem, a non-invasive T_cr prediction model combining a Kalman filter and a long-term sequence forecasting deep learning model was developed. This model leverages monitored skin temperature (T_sk) and heart rate (HR) as input features, enabling personalized real-time T_cr predictions for various groups of specialized operations personnel. The model's accuracy was validated using the data from a series of chamber experiments with 13 participants under ambient temperatures ranging from 34 to 40 °C and T_cr range of 37–39 °C. The optimal prediction results, evaluated by the test set using seven-point T_sk combined with HR, obtain a MAE value of 0.07, a RMSE value of 0.09, and a R² value of 0.93. Additionally, the errors of 95% of all T_cr predictions fell within ±0.17 °C. The proposed model has the advantage of requiring simple input parameters/features and producing high-accuracy predictions, which makes it a practical tool for health monitoring and protection of hazardous operations in high-temperature environments.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104079"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing thermal dose prediction in nanoparticle-mediated photothermal therapy using a convolutional neural network-based model","authors":"N. Shirisha ,&nbsp;Abhilash Sonker ,&nbsp;Janjhyam Venkata Naga Ramesh ,&nbsp;Taoufik Saidani ,&nbsp;Yelisela Rajesh ,&nbsp;Kasichainula Vydehi","doi":"10.1016/j.jtherbio.2025.104076","DOIUrl":"10.1016/j.jtherbio.2025.104076","url":null,"abstract":"<div><div>Nanoparticle-mediated photothermal therapy (NMPTT) is an up-and-coming targeted cancer treatment. Here, nanoparticles are used to convert near-infrared light into localized heat that can kill tumour cells while sparing surrounding healthy tissue. Nevertheless, variability among tissue properties and distributions of nanoparticles and laser parameters decreases the effectiveness of optimal thermal dosages.</div><div>This study presents a CNN-based model for predicting the optimized thermal doses in NMPTT to effectively ablate tumours by relying on input parameters such as nanoparticle concentration, laser intensity, exposure time, and tissue characteristics.</div><div>For the dataset used to train the model, the mean squared error was 0.015, the root mean squared error was 0.122, and the mean absolute error was 0.098. The model showed a validation accuracy of 89.5% and a testing accuracy of 87.8%, thus having high predictive accuracy. Its R-squared level at 0.92 exhibits the model's strong generalizability.</div><div>The proposed method offers a robust predictive instrument for increasing the precision and safety of photothermal therapy. It, thus, provides practitioners with the means to tailor treatments for each patient. By providing reliable predictions of thermal dose to inform clinical decisions and improve therapeutic outcomes, it may help advance nanoparticle-mediated photothermal therapy.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104076"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal physiology of dung beetles exposed to ivermectin, a veterinary drug","authors":"Andrea Esquivel-Román ,&nbsp;Fernanda Baena-Díaz ,&nbsp;Carlos Bustos-Segura ,&nbsp;Ornela De Gasperin ,&nbsp;Daniel González-Tokman","doi":"10.1016/j.jtherbio.2025.104080","DOIUrl":"10.1016/j.jtherbio.2025.104080","url":null,"abstract":"<div><div>Global changes, including increasing temperatures and pesticide contamination threaten insect survival and reproduction by altering metabolism and stress responses. Of particular importance are insects that provide ecosystem services and are threatened by multiple stressors, such as dung beetles, which bury dung in forests and cattle pastures. This study investigated how elevated temperature and ivermectin, a common antiparasitic medication used in cattle that is excreted in dung, affect the thermal physiology of <em>Euoniticellus intermedius</em> dung beetles under controlled laboratory conditions. Our study evaluated, under laboratory conditions, the effect of the combination of high temperature and ivermectin, on heat tolerance, metabolic rate, and survival of female dung beetles <em>E. intermedius</em>. We found that ivermectin reduced survival at 29 °C but not at 33 °C, potentially due to heat-induced hormetic effects, which activate defense systems, protecting organisms from the effects of a second stressor, in this case, ivermectin. Ivermectin and high temperature increased metabolic rate, which could have potential negative effects on oxidative stress and longevity. Finally, critical thermal maximum was not affected by ivermectin or temperature. By impacting physiological traits and individual survival, high temperatures and pesticides may disrupt population dynamics and ecosystem services provided by dung beetles.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104080"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of claw trimming on surface temperature variations across claw regions in dairy cows: Insights from infrared thermography","authors":"Yalcin Alper Ozturan,&nbsp;Ibrahim Akin","doi":"10.1016/j.jtherbio.2025.104074","DOIUrl":"10.1016/j.jtherbio.2025.104074","url":null,"abstract":"<div><div>Lameness in dairy cattle significantly impacts animal welfare, milk production, and farm economics, with routine claw trimming being a key preventive measure. However, its effects on claw temperatures and the potential of infrared thermography (IRT) as a diagnostic tool are not well understood. This study investigates the use of IRT to measure temperature variations in specific anatomical regions of the claw before (baseline) and post-trimming in healthy Holstein cows. A total of 108 s-parity cows were examined, and thermographic images with different temperature levels (minimum-average and maximum) were captured from solar aspect of both lateral and medial claws along with their dermis in nine defined regions. For lateral claws, in the abaxial white line, axial groove and sole apex region increased significantly in different temperature levels (P &lt; 0.05), while the maximum temperature in the bulb region decreased (P = 0.017) post-trimming. For medial claws, significant increases in different temperature levels were found in the toe white line, abaxial white line, sole bulb junction, axial groove and sole apex regions (P &lt; 0.05). In comparison of pre and post-trimming temperature measurements in claw regions of lateral and medial claws there were no statistically significant differences in baseline measurements (P &gt; 0.05), whereas significant increases in different temperature levels were found in sole bulb junction, bulb, axial groove and sole apex between lateral and medial claw temperatures (P &lt; 0.05). No significant changes were detected in dermis regions of claws (P &gt; 0.05). These findings provide valuable reference temperatures for claw health and underscore the potential of IRT.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104074"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring biases in heat tolerance testing with a conceptual heat balance approach","authors":"Philémon Marcel-Millet ,&nbsp;Daniel Gagnon ,&nbsp;Alexandra Malgoyre","doi":"10.1016/j.jtherbio.2025.104085","DOIUrl":"10.1016/j.jtherbio.2025.104085","url":null,"abstract":"<div><div>Global climate change increases the number and intensity of heat days, which increases the risk of exertional heat illness. The heat tolerance test (HTT) is performed to classify individuals who have suffered exertional heat stroke as heat tolerant or intolerant, prior to their return to activity/duty. The current analysis aimed to i. examine potential biases within the HTT conditions or measures; ii. enhance the interpretation of the HTT results through the prediction of sweat rate required to reach thermal balance (S_req). We calculated all the elements of the heat balance equation including metabolic heat production that was predicted using the Pandolf equation. The evaporative requirement for heat balance, the maximum evaporative rate possible and S_req were calculated for a range of body masses (50–100 kg), body mass indices (18.5–30 kg⋅m⁻²) and wind speeds (0–1.5 m⋅s⁻¹). The calculations suggest that, based on metabolic heat production, the change in rectal temperature appears to be a valid criterion to judge heat tolerance. However, the analysis of skin wettedness reveals that the HTT conditions are not physiologically compensable for more than 75% of the scenarios considered in the present study. Physiological strain will likely differ depending on the morphology of individuals. Thus, it may be necessary to ensure that the HTT conditions are compensable to improve HTT specificity. Finally, the prediction of S_req appears to be a promising tool for interpreting heat intolerance and improving medical care, in cases of significant deviation between measured and estimated S_req.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104085"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of fluid temperature on the relation and agreement between perceptual and physiological strain during simulated work in a hot environment","authors":"Fergus K. O'Connor ,&nbsp;Brodie J. Richards ,&nbsp;Leonidas G. Ioannou ,&nbsp;Glen P. Kenny","doi":"10.1016/j.jtherbio.2025.104077","DOIUrl":"10.1016/j.jtherbio.2025.104077","url":null,"abstract":"<div><h3>Background</h3><div>Cold fluid ingestion is recommended during work to maintain hydration status and physiological function. While monitoring the physiological strain index (PSI) during work in the heat is recommended, it is logistically challenging. Subjective estimates, i.e., perceptual strain index (PeSI), are thought to reflect PSI. However, it remains unclear if cold fluid influences an individual's perception of heat strain.</div></div><div><h3>Methods</h3><div>Twenty young adults (10 females) performed four 15-min bouts of moderate-intensity (200 W/m²) cycling in the heat (40°C, 13% RH), each separated by 15-min rest. On separate days, participants consumed 2 boluses consisting of 5.2 g/kg of cold (0°C) or warm fluid (37.5°C) before the first and third work bout. Rectal temperature (Tc) and heart rate (HR) were recorded to calculate PSI (0–10 scale). Rating of perceived exertion (RPE) and thermal sensation (TS) were recorded to calculate PeSI (0–10 scale). Tc, HR, TS, and RPE were compared between experimental trials and across work bouts via two-way ANOVAs. Relation between PSI, PeSI and fluid temperature were evaluated via linear mixed models. Mean bias (95% limits of agreement [LoA]) between PSI and PeSI was assessed via Bland-Altman analysis.</div></div><div><h3>Findings</h3><div>Tc, HR, TS and RPE were not influenced by fluid temperature (P ≥ 0.09), nor was the relation between PeSI and PSI (P = 0.11). Mean bias [95% LoA] between PSI and PeSI was greater in cold (−2.1 [-5.7 – 1.5]) compared to the warm fluid condition (−1.8 [-4.8 – 1.2], P = 0.008).</div></div><div><h3>Conclusion</h3><div>While the relation between PeSI and PSI was not influenced by beverage temperature the agreement between measures was worsened following cold fluid ingestion.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104077"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults","authors":"Connor Forbes ,&nbsp;Alberto Coccarelli ,&nbsp;Zhiwei Xu ,&nbsp;Robert D. Meade ,&nbsp;Glen P. Kenny ,&nbsp;Sebastian Binnewies ,&nbsp;Aaron J.E. Bach","doi":"10.1016/j.jtherbio.2025.104078","DOIUrl":"10.1016/j.jtherbio.2025.104078","url":null,"abstract":"<div><div>This study compares the efficacy of machine learning models to traditional biophysical models in predicting rectal (T_re) and skin (T_sk) temperatures of older adults (≥60 years) during prolonged heat exposure. Five machine learning models were trained on data using 4-fold cross validation from 162 day-long (8–9h) sessions involving 76 older adults across six environments, from thermoneutral to heatwave conditions. These models were compared to three biophysical models: the JOS-3 model, the Gagge two-node model, and an optimised two-node model. Our findings show that machine learning models, particularly ridge regression, outperformed biophysical models in prediction accuracy. The ridge regression model achieved a Root-Mean Squared Error (RMSE) of 0.27 °C for T_re, and 0.73 °C for T_sk. Among the best biophysical models, the optimised two-node model achieved an RMSE of 0.40 °C for T_re, while JOS-3 achieved an RMSE of 0.74 °C for T_sk. Of all models, ridge regression had the highest proportion of participants with T_re RMSEs within clinically meaningful thresholds at 70% (&lt;0.3 °C) and the highest proportion for T_sk at 88% (&lt;1.0 °C), tied with the JOS-3 model. Our results suggest machine learning models better capture the complex thermoregulatory responses of older adults during prolonged heat exposure. The study highlights machine learning models' potential for personalised heat risk assessments and real-time predictions. Future research should expand upon training datasets, incorporate more dynamic conditions, and validate models in real-world settings. Integrating these models into home-based monitoring systems or wearable devices could enhance heat management strategies for older adults.</div></div>","PeriodicalId":17428,"journal":{"name":"Journal of thermal biology","volume":"128 ","pages":"Article 104078"},"PeriodicalIF":2.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}