The stratification of blubber fatty acids(FAs)is a widely used strategy in marine mammals and can be influenced by many factors,including their diet,environmental temperature,and physiological status.There are 3 disti...The stratification of blubber fatty acids(FAs)is a widely used strategy in marine mammals and can be influenced by many factors,including their diet,environmental temperature,and physiological status.There are 3 distinct finless porpoise species/subspecies in Chinese coastal and inland waters in a wide range from 20°N to 40°N.The biochemical stratification of the blubbers of finless porpoises in different regions may provide valuable information for understanding their environmental adaptations.The FA compositions of 4 geographic populations of finless porpoise(FP)collected from the Bohai Gulf,East China Sea,South China Sea,and Yangtze River were therefore analyzed and compared.The blubber FA compositions of finless porpoises were dominated by∑MUFAs,followed by∑SFAs and∑PUFAs,and were generally consistent with those of other cetaceans.The blubber of finless porpoises was significantly stratified with increasing levels of∑MUFAs and decreasing levels of∑SFAs and∑PUFAs from the inner to the outer layers.The 3 marine populations shared more similarities in their FA compositions and stratifications compared to the freshwater porpoises,particularly regarding the PUFAs in the inner layers,which might have been mainly influenced by the diet compositions of marine and freshwater porpoises.Contrary to what was expected,in the 3 marine populations,the SFA and MUFA levels showed opposite correlations(negative and positive,respectively)with habitat temperatures,possibly indicating an adaptation mechanism in finless porpoises characterized by a trade-off between the insulation and fluidity properties of the blubber through the adjustment of the compositions and gradients of MUFAs and SFAs across the blubber depth in response to environmental temperature/latitude changes.展开更多
This study establishes a framework to assess greenspace supply-demand disparities related to thermal discomfort from the perspective of population mobility across urban functional zones(UFZs).High-resolution greenspac...This study establishes a framework to assess greenspace supply-demand disparities related to thermal discomfort from the perspective of population mobility across urban functional zones(UFZs).High-resolution greenspace maps and location-based service(LBS)datasets for Nanjing,China,were combined with Spearman correlation analyses and a four-quadrant model to elucidate associations and matching patterns between greenspace exposure and thermal comfort.The findings indicate that population fluctuations affect the availability of actual greenspace,with correlations to thermal discomfort showing significant temporal variations among different UFZs.During morning workday hours,commercial zones have a significantly higher representation in Quadrant Ⅱ(82.26%)compared to non-workdays(70.86%),which is characterized by high population density,low greenspace exposure,and pronounced thermal discomfort.In contrast,residential and public service zones maintain consistently high and stable proportions in Quadrant Ⅰ across all periods.This spatial mismatch is primarily caused by differences in available greenspace quantities and population mobility.Planning adjustments should focus on ensuring sufficient greenspace provision in key areas during peak population mobility periods to mitigate thermal discomfort.Minimizing residents'staying time in thermally uncomfortable zones,implementing time-specific greenspace access,and strategically increasing greenspace coverage are essential for improving the mismatch between greenspace supply and demand.展开更多
Heat-shock proteins （HSPs） play an undisputed role for maintaining cellular functioning under environmental challenges and protein denaturing conditions. Compelling evidence points to an evolutionary important role ...Heat-shock proteins （HSPs） play an undisputed role for maintaining cellular functioning under environmental challenges and protein denaturing conditions. Compelling evidence points to an evolutionary important role of HSPs and a strict evolutionary control of these proteins as a balance between benefits and costs. While there is a great potential for using HSP expression for detecting natural adaptation and exposure to stress in natural populations, some obstacles and key issues await investigation. From an ecological perspective these key issues needs to be resolved in order to fully appreciate the complex responses and adaptations to stress and to increase our understanding of HSPs and other molecular chaperones for stress adaptation and potential use as biomarkers. Here, the current knowledge and understanding of HSPs is reviewed and a number of key issues including the interpretation of elevated HSP levels, the complications of extrapolating between laboratory and field conditions, the effects of choice of traits and methodology and the larger intra-and extracellular networks of interactions that HSPs participate in are discussed [Current Zoology 56 （6）： 703-713, 2010].展开更多
Kunming,a city in southwest China,has a climate that is different from most of the other places in the world because of its unique geographical characteristics.Due to its temperate climate,most of the residential buil...Kunming,a city in southwest China,has a climate that is different from most of the other places in the world because of its unique geographical characteristics.Due to its temperate climate,most of the residential buildings in this region are naturally ventilated.Accordingly,a winter thermal comfort study was conducted in Kunming to reveal the thermal response of residents.Indoor and outdoor environmental parameters were measured,and participants were investigated about their clothing,thermal sensations,thermal preferences,and thermal acceptance using online questionnaires.Data from 162 valid questionnaires were collected in the survey.Although the climate is referred to as“mild”,the survey showed that the indoor temperature during winter was lower than the typical comfort range.Nevertheless,the participants responded that most of them felt neutral and comfortable.The neutral temperature of participants living in Kunming was determined to be 16.96℃.The acceptable thermal sensation vote(TSV)range of the residents is-0.72 to 1.52.The acceptable indoor air temperature range is 15.03℃to 19.55℃,and the optimum indoor air temperature is 17.2℃.According to this study,the existing thermal comfort evaluation models can hardly predict residents’thermal responses in Kunming well.展开更多
Neuropeptides and their receptors are involved in the regulation and coordination of various physiological processes in insects.Although various neuropeptides have been identified previously,the corresponding receptor...Neuropeptides and their receptors are involved in the regulation and coordination of various physiological processes in insects.Although various neuropeptides have been identified previously,the corresponding receptors remain unknown in the oriental fruit fly,Bactrocera dorsalis,an important agricultural insect pest.It is also unclear whether neuropeptide signaling systems are involved in regulating the thermal tolerance of this notorious pest.Here,we systematically identified 44 putative neuropeptide receptor genes which encode 66 protein sequences,and analyzed the spatio-temporal expression patterns of the neuropeptide ligands and their receptor genes in B.dorsalis.We also analyzed changes in their transcript accumulation in two thermo-tolerant populations(heat and cold)of B.dorsalis.The results showed that numerous neuropeptides and receptors participate in responding to thermal stresses during acclimation.In particular,the expression of short neuropeptide F(sNPF)was up-regulated in the heat-tolerant population of B.dorsalis.Moreover,proteomic data showed that sNPF was up-regulated in both thermo-tolerant populations of B.dorsalis.The functional verification based on CRISPR/Cas9 demonstrated that sNPF is involved in regulating the tolerance to thermal stresses.The results of this study enrich our knowledge on the function of neuropeptide sNPF in insects.Moreover,this study demonstrated the role of neuropeptide signaling systems in thermal adaptation,contributing to a better understanding of the rapid invasiveness of B.dorsalis around the world.展开更多
The study aims to investigate the thermal comfort requirements in residential buildings and to establish an adaptive thermal comfort model in the cold zone of China.A year-long field study was conducted in residential...The study aims to investigate the thermal comfort requirements in residential buildings and to establish an adaptive thermal comfort model in the cold zone of China.A year-long field study was conducted in residential buildings in Xi’an,China.A total of 2069 valid questionnaires,along with indoor environmental parameters were obtained.The results indicated occupants’thermal comfort requirements varied with seasons.The neutral temperatures were 17.9,26.1(highest),25.2,and 17.4℃(lowest),and preferred temperatures were 23.2,25.6(highest),24.8,and 22.4℃(lowest),respectively for spring,summer,autumn,and winter.The neutral temperature and preferred temperature in autumn are close to the neutral temperature in summer,while the neutral temperature and preferred temperature in spring are close to that in winter.Besides,the 80%and 90%acceptable temperature ranges,adaptive thermal comfort models,and thermal comfort zones for each season were established.Human’s adaptability is related to his/her thermal experience of the current season and the previous season.Therefore,compared with the traditional year-round adaptive thermal comfort model,seasonal models can better reflect seasonal variations of human adaptation.This study provides fundamental knowledge of the thermal comfort demand for people in this region.展开更多
In this paper,the mission and the thermal environment of the Solar Close Observations and Proximity Experiments(SCOPE)spacecraft are analyzed,and an advanced thermal management system(ATMS)is designed for it.The relat...In this paper,the mission and the thermal environment of the Solar Close Observations and Proximity Experiments(SCOPE)spacecraft are analyzed,and an advanced thermal management system(ATMS)is designed for it.The relationship and functions of the integrated database,the intelligent thermal control system and the efficient liquid cooling system in the ATMS are elaborated upon.For the complex thermal field regulation system and extreme space thermal environment,a modular simulation and thermal field planning method are proposed,and the feasibility of the planning algorithm is verified by numerical simulation.A solar array liquid cooling system is developed,and the system simulation results indicate that the temperatures of the solar arrays meet the requirements as the spacecraft flies by perihelion and aphelion.The advanced thermal management study supports the development of the SCOPE program and provides a reference for the thermal management in other deep-space exploration programs.展开更多
The establishment of the South-Asian high (SAH) in April and May over the Indochina Peninsula (IP) is investigated based on the ERA-40 reanalysis data. The result shows that the SAH is generated and strengthened over ...The establishment of the South-Asian high (SAH) in April and May over the Indochina Peninsula (IP) is investigated based on the ERA-40 reanalysis data. The result shows that the SAH is generated and strengthened over the IP locally, rather than moving westward to the IP from the Western Pacific. After the SAH establishment the tropical upper tropospheric trough (TUTT) forms above the ocean to the east of the Philippines. We have found that the principal triggering factor of both the SAH construction and the TUTT formation is the variation in the Southern Asian atmospheric diabatic heating regime. In late April, both the climbing effect of Shan Plateau and the local surface sensible heating contribute to local rainfall over the IP. Then the local updraft and upper-air divergence are strengthened, being responsible for the SAH formed in the southern part of the IP. As convection moves northward along the Australian-Asian "maritime continent" and the Bay of Bengal (BoB) summer monsoon begins, the convection is intensified in May on the eastern BoB. The strong convection results in the SAH enhancing and expanding westward, accompanied by reinforced meridional flow to the east of SAH, where responses of the circulation to diabatic heating arrive at a quasi-steady state. Meanwhile, because of the positive geopotential vorticity advection resulting from upper equatorward flow, the local positive relative vorticity increases over the ocean to the east of the Philippines, making the tropical upper tropospheric trough (TUTT) form around 150°E.展开更多
Infrared thermal camouflage technologies are vital for enhancing the survivability of objects by altering their infrared radiation properties.However,existing solutions often fall short in adaptability and rapid respo...Infrared thermal camouflage technologies are vital for enhancing the survivability of objects by altering their infrared radiation properties.However,existing solutions often fall short in adaptability and rapid responsiveness to dynamic environmental conditions,limiting their practical applicability.To overcome these challenges,we present an innovative approach combining ultrafast laser-induced non-volatile phase-change Ge_(2)Sb_(2)Te_(5)(GST)voxel-crystallized units with electrically tunable volatile VO_(2)layers.This integration enables precise,continuous control of infrared emissivity across a wide range of 0.14 to 0.98,effectively encompassing the emissivity of most materials.A neural network-based closed-loop system is employed for sensing,intelligent decision-making,and execution,achieving real-time thermal radiation matching between the target and its environment with a response speed of 3°C/s and an accuracy of±1°C.This strategy significantly enhances the adaptability of thermal camouflage in complex environments,paving the way for practical,dynamic thermal stealth applications.展开更多
By analyzing thermal adaptive behavior(TAB),we can access the occupant’s thermal comfort in real time and control the heating,ventilation,and air conditioning(HVAC)system accordingly to reduce energy consumption in b...By analyzing thermal adaptive behavior(TAB),we can access the occupant’s thermal comfort in real time and control the heating,ventilation,and air conditioning(HVAC)system accordingly to reduce energy consumption in buildings.Most existing methods are based on wearable devices or cameras to collect occupant behavioral information.Although these methods can effectively identify occupant behavior,they have the problem of violating user privacy.With the development of wireless technologies,human activity recognition using WiFi has the advantages of being non-invasive,privacy-friendly,and light-independent.Therefore,non-invasive TAB recognition based on WiFi technology holds great promise in human thermal comfort.However,existing research on TAB recognition based on WiFi technology lacks comprehensive and consistent conclusions.Thus,in this paper,we have surveyed the literature in recent years to guide in this area.In addition,we present the challenges and future perspectives faced by existing WiFi-based TAB technologies,e.g.,developing high-quality WiFi sensing datasets to advance the field of human thermal comfort.We hope this review will guide researchers in recognizing the great promise of WiFi sensing applications for TAB recognition in smart buildings.展开更多
China's aging population is a pressing issue,with the need for comfortable living environments for older adults being paramount to their health and well-being.A study was conducted in Dalian,China,involving physic...China's aging population is a pressing issue,with the need for comfortable living environments for older adults being paramount to their health and well-being.A study was conducted in Dalian,China,involving physical environment measurements and surveys in nursing homes and residential buildings.The investigation focused on changing indoor thermal environments and older adults'subjective sensations.The study explored physical environment satisfaction and actual thermal comfort ranges in different aging modes and space characteristics.The results show that older people spend most time in bedrooms,and dissatisfaction with the thermal environment in winter and summer is high,reaching 42%and 74%,respectively.Residential buildings generally have higher indoor temperatures than nursing homes,with a mean PMV difference of 0.9 in winter.Furthermore,thermal comfort models show that the comfort zones for nursing homes are more comprehensive in winter but smaller in summer.This study provides valuable information for future research on thermal comfort of older adults in different aging modes,facilitating the creation of healthier indoor thermal environments.展开更多
In response to the limitations of conventional thermal management materials,such as restricted functionality,narrow temperature adaptability,and poor breathability,flexibility,and stretchability,this highlight present...In response to the limitations of conventional thermal management materials,such as restricted functionality,narrow temperature adaptability,and poor breathability,flexibility,and stretchability,this highlight presents a breathable,dual-mode leather-like nanotextile(LNT)with asymmetric pleated photonic microstructures and Janus wettability.This innovative design enables efficient and adaptive personal thermal regulation across a broad temperature range,while significantly improving wearer comfort through optimized moisture management and mechanical compliance.The proposed LNT opens new pathways for developing nextgeneration smart textiles,showing great potential for real-world applications in dynamic and demanding environments.展开更多
When studying the thermal adaptation of building occupants,understanding the effects of different thermal experiences on adaptation is necessary,particularly for moderate and severe heat exposure.However,this area has...When studying the thermal adaptation of building occupants,understanding the effects of different thermal experiences on adaptation is necessary,particularly for moderate and severe heat exposure.However,this area has seen limited research.Further,skin temperature,a common parameter for quantifying thermal sensation,may insufficiently reflect the automatic thermoregulation of the human body.This study investigates the effects of long-term heat exposure on the human body using multiple physiological and subjective indexes.Two heat exposure experiments were conducted on healthy male participants from northern and southern China.Participant responses,including skin temperature,heart rate,heart rate variability,blood volume pulse(BVP),subjective thermal comfort thermal sensation,thermal acceptability,and normalized high and low frequency values were collected and compared The results indicated that the subjective responses of northern and southern participants were not significantly different;however,the subjective physiological symptoms and self-reported discomfort of the latter were less than those of the former,indicating that the southern participants had superior heat tolerance.Additionally,the physiological responses of all the participants were largely similar.However,southern participants showed slightly higher normalized high frequency and BVP values,indicating that they have more active vagus nerves and better vasodilation.They also showed a wider acceptable temperature range and better acclimation to heat exposure.Notably,the mean skin temperature could not effectively predict thermal sensation during heat exposure;this was more accurately achieved using the rate of change of skin temperature.These findings suggest that long-term thermal experiences can affect building occupants’thermal adaptability.展开更多
Blubber thickness(BT)has a seasonal pattern in most small cetaceans in temperate and polar regions,which may be a crucial adaptive mechanism in response to environmental temperature changes.However,BT and environmenta...Blubber thickness(BT)has a seasonal pattern in most small cetaceans in temperate and polar regions,which may be a crucial adaptive mechanism in response to environmental temperature changes.However,BT and environmental temperature correlations have never been tested experimentally in any cetacean species owing to logistical difficulties in the aquatic environment.The Yangtze finless porpoise(Neophocaena asiaeorientalis asiaeorientalis,YFP)is one of the smallest cetacean species worldwide,which exclusively inhabits the middle and lower regions of the Yangtze River in China.Here,we investigated BT variation patterns in YFPs and their relationship to environmental temperature changes using ultrasound imaging technology by longitudinally monitoring four YFPs in human care.We found that blubber was not evenly distributed in the skin of YFPs.BT increased along the craniocaudal axis from the head to the umbilical girth,and decreased towards the fluke,with relatively thicker blubber in the dorsal region than in the ventral and lateral regions.Significant negative correlations between BT and seasonal water temperature changes were observed in YFPs.However,different body regions display different sensitivities to seasonal temperature changes.The BT in the anal girth region exhibited noticeable seasonal changes.In contrast,the umbilical lateral and ventral regions showed relatively blunt seasonal changes,indicating different adaptive functions of the blubber in different regions.BT in the dorsal region decreased linearly with increasing water temperature.In the lateral and ventral regions,BT significantly changed with water temperature at a threshold of 18C.The YFPs had relatively thinner BT than similar-sized harbor porpoises that inhabit relatively high latitudes with much lower water temperatures.This further demonstrates the adaptive function of BT in response to environmental temperatures in small cetaceans.This study elucidates the seasonal pattern of BT variation in small cetaceans and provides insight into adaptation mechanisms of small cetaceans to temperature changes.展开更多
Predicting the thermal sensations of building occupants is challenging,but useful for indoor environment conditioning.In this study,a data-driven thermal sensation prediction model was developed using three quality-co...Predicting the thermal sensations of building occupants is challenging,but useful for indoor environment conditioning.In this study,a data-driven thermal sensation prediction model was developed using three quality-controlled thermal comfort databases.Different machine-learning algorithms were compared in terms of prediction accuracy and rationality.The model was further improved by adding categorical inputs,and building submodels and general models for different contexts.A comprehensive data-driven thermal sensation prediction model was established.The results indicate that the multilayer perceptron(MLP)algorithm achieves higher prediction accuracy and more rational results than the other four algorithms in this specific case.Labeling AC and NV scenarios,climate zones,and cooling and heating seasons can improve model performance.Establishing submodels for specific scenarios can result in better thermal sensation vote(TSV)predictions than using general models with or without labels.With 11 submodels corresponding to 11 scenarios,and three general models without labels,the final TSV prediction model achieved higher prediction accuracy,with 64.7%–90.7%fewer prediction errors(reducing SSE by 3.2–4.9)than the predicted mean vote(PMV).Possible applications of the new model are discussed.The findings of this study can help in development of simple,accurate,and rational thermal sensation prediction tools.展开更多
Conductive polymer composites(CPCs) as the thermo-sensitive materials have attracted much attention in thermal control field due to their reliable self-regulating behaviors, high efficiency and mechanical flexibility....Conductive polymer composites(CPCs) as the thermo-sensitive materials have attracted much attention in thermal control field due to their reliable self-regulating behaviors, high efficiency and mechanical flexibility. However, the development of these materials needs to manage the normal conflicting requirements, such as effective heating performance and good self-regulating capability. This paper presents a series of novel CPCs material having different amounts of hybrid fillers of multi-walled carbon nanotubes(CNTs) and carbon black(CB). The positive temperature coefficient intensity is enhanced to 105.2, and the roomtemperature resistivity is optimized to 320 ? cm. Besides, the Curie temperatures are regulated to room-temperature range by incorporating the low-melting-point blend matrix into the poly(ethylene-co-vinyl acetate)/CNTs/CB composite. The thermalcontrol experiment demonstrates that CPCs-heating elements can adjust the equilibrium temperature of controlled equipment near their Curie temperatures without any control methods. Compared with the ordinary resistor, the CPCs materials have the remarkable adaptive thermal control behavior. Furthermore, the temperature control capability is particularly prominent in the changing environment temperature. The CPCs as a safe and reliable adaptive heating element is potential to replace the conventional active thermal control means.展开更多
Vernacular buildings are known for their localized passive settings to provide comfortable indoor environment without air conditioning systems.One alternative is the consistent ground temperature over the year that ea...Vernacular buildings are known for their localized passive settings to provide comfortable indoor environment without air conditioning systems.One alternative is the consistent ground temperature over the year that earth-sheltered envelopes take the benefit;however,ensuring annual indoor comfort might be challenging.Thus,this research monitors the indoor thermal indicators of 22 earth-sheltered buildings in Meymand,Iran with a warmdry climate.Furthermore,the observations are used to validate the simulation results through two outdoor and indoor environmental parameters,air temperature and relative humidity during the hottest period of the year.Findings indicated that the main thermal comfort differences among case studies were mainly due to their architectural layouts where the associated variables including length,width,height,orientation,window-to-wall ratio,and shading depth were optimized through a linkage between Ladybug-tools and Genetic Algorithm(GA)concerning adaptive thermal comfort model definition and could enhance the annual thermal comfort by 31%.展开更多
There is a growing need for accurate and interpretable machine learning models of thermal comfort in buildings.Physics-informed machine learning could address this need by adding physical consistency to such models.Th...There is a growing need for accurate and interpretable machine learning models of thermal comfort in buildings.Physics-informed machine learning could address this need by adding physical consistency to such models.This paper presents metamodeling of thermal comfort in non-air-conditioned buildings using physics-informed machine learning.The studied metamodel incorporated knowledge of both quasi-steady-state heat transfer and dynamic simulation results.Adaptive thermal comfort in an office located in cold and hot European climates was studied with the number of overheating hours as index.A one-at-a-time method was used to gain knowledge from dynamic simulation with TRNSYS software.This knowledge was used to filter the training data and to choose probability distributions for metamodel forms alternative to polynomial.The response of the dynamic model was positively skewed;and thus,the symmetric logistic and hyperbolic secant distributions were inappropriate and outperformed by positively skewed distributions.Incorporating physical knowledge into the metamodel was much more effective than doubling the size of the training sample.The highly flexible Kumaraswamy distribution provided the best performance with R2 equal to 0.9994 for the cold climate and 0.9975 for the hot climate.Physics-informed machine learning could combine the strength of both physics and machine learning models,and could therefore support building design with flexible,accurate and interpretable metamodels.展开更多
Thermal comfort is an important factor in hostel buildings when the aim is to maximize the productivity of the students.Due to the extreme weather conditions,achieving thermal comfort in a hostel building in a hot and...Thermal comfort is an important factor in hostel buildings when the aim is to maximize the productivity of the students.Due to the extreme weather conditions,achieving thermal comfort in a hostel building in a hot and humid climate is even more difficult.Studies conducted in naturally ventilated hostel buildings in warm-humid climates involved the influence of outdoor air temperature only up to 34.4℃ and have been conducted in a specific season.In contrast,the Tiruchirappalli climate is characterized by a higher range of environmental variables.Therefore,to understand the thermal comfort conditions and usage of the environmental controls in naturally ventilated hostel buildings at the higher range of the environmental variables,a thermal comfort field study spread over one year was carried out at the National Institute of Technology,Tiruchirappalli,India,in twenty-seven hostel buildings.This study relies on field observation and thermal comfort responses from 2028 questionnaires collected from the students between September 2019 to August 2020.The analysis revealed a neutral temperature of 29.5℃ and a comfort range from 26.1℃ to 32.8℃,indicating a wide range of ther-mal adaptation than suggested by the National Building Code of India and ASHRAE standard 55.The preferred temperature was 27.8℃,indicating that students preferred a cooler environment.Acceptability with sweating conditions extended the upper limit of thermal acceptability from 31.8℃ to 32.4℃.The use of a mosquito net can increase the probability of opening a window.Results indicated that overall behavioral adjustment could extend the comfort limits.The study results would be helpful to develop guidelines and designs for naturally ventilated hostel buildings in warm and humid climates that will contribute to reducing energy demand.展开更多
Climate change is altering the timing and magnitude of biogeochemical fluxes in many high- elevation ecosystems. The consequent changes in alpine nitrification rates have the potential to influence ecosystem scale res...Climate change is altering the timing and magnitude of biogeochemical fluxes in many high- elevation ecosystems. The consequent changes in alpine nitrification rates have the potential to influence ecosystem scale responses. In order to better understand how changing temperature and moisture conditions may influence ammonia oxidizers and nitrification activity, we conducted laboratory incubations on soils collected in a Colorado watershed from three alpine habitats （glacial outwash, talus, and meadow）. We found that bacteria, not archaea, dominated all ammonia oxidizer communities. Nitrification increased with moisture in all soils and under all temperature treatments. However, temperature was not correlated with nitrification rates in all soils. Site-specific temperature trends suggest the development of generalist ammonia oxidzer communities in soils with greater in situ temperature fluctuations and specialists in soils with more steady temperature regimes. Rapidly increasing tempera- tures and changing soil moisture conditions could explain recent observations of increased nitrate production in some alpine soils.展开更多
基金This study was financially supported by the Ocean Park Conservation Foundation Hong Kong(MM01.2021).
文摘The stratification of blubber fatty acids(FAs)is a widely used strategy in marine mammals and can be influenced by many factors,including their diet,environmental temperature,and physiological status.There are 3 distinct finless porpoise species/subspecies in Chinese coastal and inland waters in a wide range from 20°N to 40°N.The biochemical stratification of the blubbers of finless porpoises in different regions may provide valuable information for understanding their environmental adaptations.The FA compositions of 4 geographic populations of finless porpoise(FP)collected from the Bohai Gulf,East China Sea,South China Sea,and Yangtze River were therefore analyzed and compared.The blubber FA compositions of finless porpoises were dominated by∑MUFAs,followed by∑SFAs and∑PUFAs,and were generally consistent with those of other cetaceans.The blubber of finless porpoises was significantly stratified with increasing levels of∑MUFAs and decreasing levels of∑SFAs and∑PUFAs from the inner to the outer layers.The 3 marine populations shared more similarities in their FA compositions and stratifications compared to the freshwater porpoises,particularly regarding the PUFAs in the inner layers,which might have been mainly influenced by the diet compositions of marine and freshwater porpoises.Contrary to what was expected,in the 3 marine populations,the SFA and MUFA levels showed opposite correlations(negative and positive,respectively)with habitat temperatures,possibly indicating an adaptation mechanism in finless porpoises characterized by a trade-off between the insulation and fluidity properties of the blubber through the adjustment of the compositions and gradients of MUFAs and SFAs across the blubber depth in response to environmental temperature/latitude changes.
基金National Natural Science Foundation of China,No.42371397The Key Laboratory of Lake and Watershed Science for Water Security,No.NKL2023-KP03。
文摘This study establishes a framework to assess greenspace supply-demand disparities related to thermal discomfort from the perspective of population mobility across urban functional zones(UFZs).High-resolution greenspace maps and location-based service(LBS)datasets for Nanjing,China,were combined with Spearman correlation analyses and a four-quadrant model to elucidate associations and matching patterns between greenspace exposure and thermal comfort.The findings indicate that population fluctuations affect the availability of actual greenspace,with correlations to thermal discomfort showing significant temporal variations among different UFZs.During morning workday hours,commercial zones have a significantly higher representation in Quadrant Ⅱ(82.26%)compared to non-workdays(70.86%),which is characterized by high population density,low greenspace exposure,and pronounced thermal discomfort.In contrast,residential and public service zones maintain consistently high and stable proportions in Quadrant Ⅰ across all periods.This spatial mismatch is primarily caused by differences in available greenspace quantities and population mobility.Planning adjustments should focus on ensuring sufficient greenspace provision in key areas during peak population mobility periods to mitigate thermal discomfort.Minimizing residents'staying time in thermally uncomfortable zones,implementing time-specific greenspace access,and strategically increasing greenspace coverage are essential for improving the mismatch between greenspace supply and demand.
基金support of the Carlsberg Foundation[grant no.2008-01-0451]
文摘Heat-shock proteins （HSPs） play an undisputed role for maintaining cellular functioning under environmental challenges and protein denaturing conditions. Compelling evidence points to an evolutionary important role of HSPs and a strict evolutionary control of these proteins as a balance between benefits and costs. While there is a great potential for using HSP expression for detecting natural adaptation and exposure to stress in natural populations, some obstacles and key issues await investigation. From an ecological perspective these key issues needs to be resolved in order to fully appreciate the complex responses and adaptations to stress and to increase our understanding of HSPs and other molecular chaperones for stress adaptation and potential use as biomarkers. Here, the current knowledge and understanding of HSPs is reviewed and a number of key issues including the interpretation of elevated HSP levels, the complications of extrapolating between laboratory and field conditions, the effects of choice of traits and methodology and the larger intra-and extracellular networks of interactions that HSPs participate in are discussed [Current Zoology 56 （6）： 703-713, 2010].
基金Project(2018YFC0704500)supported by the National Key R&D Program of ChinaProjects(51838007,52130803)supported by the National Natural Science Foundation of China。
文摘Kunming,a city in southwest China,has a climate that is different from most of the other places in the world because of its unique geographical characteristics.Due to its temperate climate,most of the residential buildings in this region are naturally ventilated.Accordingly,a winter thermal comfort study was conducted in Kunming to reveal the thermal response of residents.Indoor and outdoor environmental parameters were measured,and participants were investigated about their clothing,thermal sensations,thermal preferences,and thermal acceptance using online questionnaires.Data from 162 valid questionnaires were collected in the survey.Although the climate is referred to as“mild”,the survey showed that the indoor temperature during winter was lower than the typical comfort range.Nevertheless,the participants responded that most of them felt neutral and comfortable.The neutral temperature of participants living in Kunming was determined to be 16.96℃.The acceptable thermal sensation vote(TSV)range of the residents is-0.72 to 1.52.The acceptable indoor air temperature range is 15.03℃to 19.55℃,and the optimum indoor air temperature is 17.2℃.According to this study,the existing thermal comfort evaluation models can hardly predict residents’thermal responses in Kunming well.
基金supported by funding from the National Natural Science Foundation of China(U21A20222 and 32072491)the National Key R&D Program of China(2022YFC2601000)the 111 Project,China(B18044)and the earmarked fund for China Agriculture Research System(CARS-26)。
文摘Neuropeptides and their receptors are involved in the regulation and coordination of various physiological processes in insects.Although various neuropeptides have been identified previously,the corresponding receptors remain unknown in the oriental fruit fly,Bactrocera dorsalis,an important agricultural insect pest.It is also unclear whether neuropeptide signaling systems are involved in regulating the thermal tolerance of this notorious pest.Here,we systematically identified 44 putative neuropeptide receptor genes which encode 66 protein sequences,and analyzed the spatio-temporal expression patterns of the neuropeptide ligands and their receptor genes in B.dorsalis.We also analyzed changes in their transcript accumulation in two thermo-tolerant populations(heat and cold)of B.dorsalis.The results showed that numerous neuropeptides and receptors participate in responding to thermal stresses during acclimation.In particular,the expression of short neuropeptide F(sNPF)was up-regulated in the heat-tolerant population of B.dorsalis.Moreover,proteomic data showed that sNPF was up-regulated in both thermo-tolerant populations of B.dorsalis.The functional verification based on CRISPR/Cas9 demonstrated that sNPF is involved in regulating the tolerance to thermal stresses.The results of this study enrich our knowledge on the function of neuropeptide sNPF in insects.Moreover,this study demonstrated the role of neuropeptide signaling systems in thermal adaptation,contributing to a better understanding of the rapid invasiveness of B.dorsalis around the world.
基金Project(51325803)supported by the National Science Foundation for Distinguished Young Scholars of ChinaProject(2020M673489)supported by China Postdoctoral Science FoundationProject(2020-K-196)supported by the Science and Technology Project of Ministry of Housing and Urban-Rural Development,China。
文摘The study aims to investigate the thermal comfort requirements in residential buildings and to establish an adaptive thermal comfort model in the cold zone of China.A year-long field study was conducted in residential buildings in Xi’an,China.A total of 2069 valid questionnaires,along with indoor environmental parameters were obtained.The results indicated occupants’thermal comfort requirements varied with seasons.The neutral temperatures were 17.9,26.1(highest),25.2,and 17.4℃(lowest),and preferred temperatures were 23.2,25.6(highest),24.8,and 22.4℃(lowest),respectively for spring,summer,autumn,and winter.The neutral temperature and preferred temperature in autumn are close to the neutral temperature in summer,while the neutral temperature and preferred temperature in spring are close to that in winter.Besides,the 80%and 90%acceptable temperature ranges,adaptive thermal comfort models,and thermal comfort zones for each season were established.Human’s adaptability is related to his/her thermal experience of the current season and the previous season.Therefore,compared with the traditional year-round adaptive thermal comfort model,seasonal models can better reflect seasonal variations of human adaptation.This study provides fundamental knowledge of the thermal comfort demand for people in this region.
文摘In this paper,the mission and the thermal environment of the Solar Close Observations and Proximity Experiments(SCOPE)spacecraft are analyzed,and an advanced thermal management system(ATMS)is designed for it.The relationship and functions of the integrated database,the intelligent thermal control system and the efficient liquid cooling system in the ATMS are elaborated upon.For the complex thermal field regulation system and extreme space thermal environment,a modular simulation and thermal field planning method are proposed,and the feasibility of the planning algorithm is verified by numerical simulation.A solar array liquid cooling system is developed,and the system simulation results indicate that the temperatures of the solar arrays meet the requirements as the spacecraft flies by perihelion and aphelion.The advanced thermal management study supports the development of the SCOPE program and provides a reference for the thermal management in other deep-space exploration programs.
基金National Natural Science Foundation of China (40975057)National Basic Research Program of China (2010CB950401)+1 种基金Research and Innovation Project for College Graduates of Jiangsu Province(N0782002058)Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
文摘The establishment of the South-Asian high (SAH) in April and May over the Indochina Peninsula (IP) is investigated based on the ERA-40 reanalysis data. The result shows that the SAH is generated and strengthened over the IP locally, rather than moving westward to the IP from the Western Pacific. After the SAH establishment the tropical upper tropospheric trough (TUTT) forms above the ocean to the east of the Philippines. We have found that the principal triggering factor of both the SAH construction and the TUTT formation is the variation in the Southern Asian atmospheric diabatic heating regime. In late April, both the climbing effect of Shan Plateau and the local surface sensible heating contribute to local rainfall over the IP. Then the local updraft and upper-air divergence are strengthened, being responsible for the SAH formed in the southern part of the IP. As convection moves northward along the Australian-Asian "maritime continent" and the Bay of Bengal (BoB) summer monsoon begins, the convection is intensified in May on the eastern BoB. The strong convection results in the SAH enhancing and expanding westward, accompanied by reinforced meridional flow to the east of SAH, where responses of the circulation to diabatic heating arrive at a quasi-steady state. Meanwhile, because of the positive geopotential vorticity advection resulting from upper equatorward flow, the local positive relative vorticity increases over the ocean to the east of the Philippines, making the tropical upper tropospheric trough (TUTT) form around 150°E.
基金National Natural Science Foundation of China(NSFC)(grant 52375401,52350362,52235009,and 22379012)National Key Research and Development Program of China(2024YFB4609100)+1 种基金Chongqing Natural Science Foundation of China(grants cstc2021jcyj-cxttX0003)State Key Laboratory of High-performance Precision Manufacturing(grant HPMKF202411).
文摘Infrared thermal camouflage technologies are vital for enhancing the survivability of objects by altering their infrared radiation properties.However,existing solutions often fall short in adaptability and rapid responsiveness to dynamic environmental conditions,limiting their practical applicability.To overcome these challenges,we present an innovative approach combining ultrafast laser-induced non-volatile phase-change Ge_(2)Sb_(2)Te_(5)(GST)voxel-crystallized units with electrically tunable volatile VO_(2)layers.This integration enables precise,continuous control of infrared emissivity across a wide range of 0.14 to 0.98,effectively encompassing the emissivity of most materials.A neural network-based closed-loop system is employed for sensing,intelligent decision-making,and execution,achieving real-time thermal radiation matching between the target and its environment with a response speed of 3°C/s and an accuracy of±1°C.This strategy significantly enhances the adaptability of thermal camouflage in complex environments,paving the way for practical,dynamic thermal stealth applications.
基金supported in part by the National Natural Science Foundation of China under Grant 62001126 and Grant 52378092in part by the Guangdong Basic and Applied Basic Research Foundation(Project No.2021A1515110455).
文摘By analyzing thermal adaptive behavior(TAB),we can access the occupant’s thermal comfort in real time and control the heating,ventilation,and air conditioning(HVAC)system accordingly to reduce energy consumption in buildings.Most existing methods are based on wearable devices or cameras to collect occupant behavioral information.Although these methods can effectively identify occupant behavior,they have the problem of violating user privacy.With the development of wireless technologies,human activity recognition using WiFi has the advantages of being non-invasive,privacy-friendly,and light-independent.Therefore,non-invasive TAB recognition based on WiFi technology holds great promise in human thermal comfort.However,existing research on TAB recognition based on WiFi technology lacks comprehensive and consistent conclusions.Thus,in this paper,we have surveyed the literature in recent years to guide in this area.In addition,we present the challenges and future perspectives faced by existing WiFi-based TAB technologies,e.g.,developing high-quality WiFi sensing datasets to advance the field of human thermal comfort.We hope this review will guide researchers in recognizing the great promise of WiFi sensing applications for TAB recognition in smart buildings.
文摘China's aging population is a pressing issue,with the need for comfortable living environments for older adults being paramount to their health and well-being.A study was conducted in Dalian,China,involving physical environment measurements and surveys in nursing homes and residential buildings.The investigation focused on changing indoor thermal environments and older adults'subjective sensations.The study explored physical environment satisfaction and actual thermal comfort ranges in different aging modes and space characteristics.The results show that older people spend most time in bedrooms,and dissatisfaction with the thermal environment in winter and summer is high,reaching 42%and 74%,respectively.Residential buildings generally have higher indoor temperatures than nursing homes,with a mean PMV difference of 0.9 in winter.Furthermore,thermal comfort models show that the comfort zones for nursing homes are more comprehensive in winter but smaller in summer.This study provides valuable information for future research on thermal comfort of older adults in different aging modes,facilitating the creation of healthier indoor thermal environments.
文摘In response to the limitations of conventional thermal management materials,such as restricted functionality,narrow temperature adaptability,and poor breathability,flexibility,and stretchability,this highlight presents a breathable,dual-mode leather-like nanotextile(LNT)with asymmetric pleated photonic microstructures and Janus wettability.This innovative design enables efficient and adaptive personal thermal regulation across a broad temperature range,while significantly improving wearer comfort through optimized moisture management and mechanical compliance.The proposed LNT opens new pathways for developing nextgeneration smart textiles,showing great potential for real-world applications in dynamic and demanding environments.
基金This study was supported by the National Key Research and Development Program of China during the 13th Five-Year Plan(No.2018YFC07004)the Science Foundation for Young Scholars of Shanxi Province(No.2017JQ5086).
文摘When studying the thermal adaptation of building occupants,understanding the effects of different thermal experiences on adaptation is necessary,particularly for moderate and severe heat exposure.However,this area has seen limited research.Further,skin temperature,a common parameter for quantifying thermal sensation,may insufficiently reflect the automatic thermoregulation of the human body.This study investigates the effects of long-term heat exposure on the human body using multiple physiological and subjective indexes.Two heat exposure experiments were conducted on healthy male participants from northern and southern China.Participant responses,including skin temperature,heart rate,heart rate variability,blood volume pulse(BVP),subjective thermal comfort thermal sensation,thermal acceptability,and normalized high and low frequency values were collected and compared The results indicated that the subjective responses of northern and southern participants were not significantly different;however,the subjective physiological symptoms and self-reported discomfort of the latter were less than those of the former,indicating that the southern participants had superior heat tolerance.Additionally,the physiological responses of all the participants were largely similar.However,southern participants showed slightly higher normalized high frequency and BVP values,indicating that they have more active vagus nerves and better vasodilation.They also showed a wider acceptable temperature range and better acclimation to heat exposure.Notably,the mean skin temperature could not effectively predict thermal sensation during heat exposure;this was more accurately achieved using the rate of change of skin temperature.These findings suggest that long-term thermal experiences can affect building occupants’thermal adaptability.
基金financially supported by the National Key R&D Program of China,Grant No.2021YFD1200304.
文摘Blubber thickness(BT)has a seasonal pattern in most small cetaceans in temperate and polar regions,which may be a crucial adaptive mechanism in response to environmental temperature changes.However,BT and environmental temperature correlations have never been tested experimentally in any cetacean species owing to logistical difficulties in the aquatic environment.The Yangtze finless porpoise(Neophocaena asiaeorientalis asiaeorientalis,YFP)is one of the smallest cetacean species worldwide,which exclusively inhabits the middle and lower regions of the Yangtze River in China.Here,we investigated BT variation patterns in YFPs and their relationship to environmental temperature changes using ultrasound imaging technology by longitudinally monitoring four YFPs in human care.We found that blubber was not evenly distributed in the skin of YFPs.BT increased along the craniocaudal axis from the head to the umbilical girth,and decreased towards the fluke,with relatively thicker blubber in the dorsal region than in the ventral and lateral regions.Significant negative correlations between BT and seasonal water temperature changes were observed in YFPs.However,different body regions display different sensitivities to seasonal temperature changes.The BT in the anal girth region exhibited noticeable seasonal changes.In contrast,the umbilical lateral and ventral regions showed relatively blunt seasonal changes,indicating different adaptive functions of the blubber in different regions.BT in the dorsal region decreased linearly with increasing water temperature.In the lateral and ventral regions,BT significantly changed with water temperature at a threshold of 18C.The YFPs had relatively thinner BT than similar-sized harbor porpoises that inhabit relatively high latitudes with much lower water temperatures.This further demonstrates the adaptive function of BT in response to environmental temperatures in small cetaceans.This study elucidates the seasonal pattern of BT variation in small cetaceans and provides insight into adaptation mechanisms of small cetaceans to temperature changes.
基金This study was supported by the National Natural Science Foundation of China(No.52178087)the China National Key R&D Program during the 13th Five-year Plan Period(No.2018YFC0704500)the Fundamental Research Funds for the Central Universities(No.22120210537).The authors would like to thank Guangdong Midea Air-Conditioning Equipment Co.,Ltd.for their support.
文摘Predicting the thermal sensations of building occupants is challenging,but useful for indoor environment conditioning.In this study,a data-driven thermal sensation prediction model was developed using three quality-controlled thermal comfort databases.Different machine-learning algorithms were compared in terms of prediction accuracy and rationality.The model was further improved by adding categorical inputs,and building submodels and general models for different contexts.A comprehensive data-driven thermal sensation prediction model was established.The results indicate that the multilayer perceptron(MLP)algorithm achieves higher prediction accuracy and more rational results than the other four algorithms in this specific case.Labeling AC and NV scenarios,climate zones,and cooling and heating seasons can improve model performance.Establishing submodels for specific scenarios can result in better thermal sensation vote(TSV)predictions than using general models with or without labels.With 11 submodels corresponding to 11 scenarios,and three general models without labels,the final TSV prediction model achieved higher prediction accuracy,with 64.7%–90.7%fewer prediction errors(reducing SSE by 3.2–4.9)than the predicted mean vote(PMV).Possible applications of the new model are discussed.The findings of this study can help in development of simple,accurate,and rational thermal sensation prediction tools.
基金supported by the National Natural Science Foundation of China (Grant No. 51225602)。
文摘Conductive polymer composites(CPCs) as the thermo-sensitive materials have attracted much attention in thermal control field due to their reliable self-regulating behaviors, high efficiency and mechanical flexibility. However, the development of these materials needs to manage the normal conflicting requirements, such as effective heating performance and good self-regulating capability. This paper presents a series of novel CPCs material having different amounts of hybrid fillers of multi-walled carbon nanotubes(CNTs) and carbon black(CB). The positive temperature coefficient intensity is enhanced to 105.2, and the roomtemperature resistivity is optimized to 320 ? cm. Besides, the Curie temperatures are regulated to room-temperature range by incorporating the low-melting-point blend matrix into the poly(ethylene-co-vinyl acetate)/CNTs/CB composite. The thermalcontrol experiment demonstrates that CPCs-heating elements can adjust the equilibrium temperature of controlled equipment near their Curie temperatures without any control methods. Compared with the ordinary resistor, the CPCs materials have the remarkable adaptive thermal control behavior. Furthermore, the temperature control capability is particularly prominent in the changing environment temperature. The CPCs as a safe and reliable adaptive heating element is potential to replace the conventional active thermal control means.
文摘Vernacular buildings are known for their localized passive settings to provide comfortable indoor environment without air conditioning systems.One alternative is the consistent ground temperature over the year that earth-sheltered envelopes take the benefit;however,ensuring annual indoor comfort might be challenging.Thus,this research monitors the indoor thermal indicators of 22 earth-sheltered buildings in Meymand,Iran with a warmdry climate.Furthermore,the observations are used to validate the simulation results through two outdoor and indoor environmental parameters,air temperature and relative humidity during the hottest period of the year.Findings indicated that the main thermal comfort differences among case studies were mainly due to their architectural layouts where the associated variables including length,width,height,orientation,window-to-wall ratio,and shading depth were optimized through a linkage between Ladybug-tools and Genetic Algorithm(GA)concerning adaptive thermal comfort model definition and could enhance the annual thermal comfort by 31%.
文摘There is a growing need for accurate and interpretable machine learning models of thermal comfort in buildings.Physics-informed machine learning could address this need by adding physical consistency to such models.This paper presents metamodeling of thermal comfort in non-air-conditioned buildings using physics-informed machine learning.The studied metamodel incorporated knowledge of both quasi-steady-state heat transfer and dynamic simulation results.Adaptive thermal comfort in an office located in cold and hot European climates was studied with the number of overheating hours as index.A one-at-a-time method was used to gain knowledge from dynamic simulation with TRNSYS software.This knowledge was used to filter the training data and to choose probability distributions for metamodel forms alternative to polynomial.The response of the dynamic model was positively skewed;and thus,the symmetric logistic and hyperbolic secant distributions were inappropriate and outperformed by positively skewed distributions.Incorporating physical knowledge into the metamodel was much more effective than doubling the size of the training sample.The highly flexible Kumaraswamy distribution provided the best performance with R2 equal to 0.9994 for the cold climate and 0.9975 for the hot climate.Physics-informed machine learning could combine the strength of both physics and machine learning models,and could therefore support building design with flexible,accurate and interpretable metamodels.
文摘Thermal comfort is an important factor in hostel buildings when the aim is to maximize the productivity of the students.Due to the extreme weather conditions,achieving thermal comfort in a hostel building in a hot and humid climate is even more difficult.Studies conducted in naturally ventilated hostel buildings in warm-humid climates involved the influence of outdoor air temperature only up to 34.4℃ and have been conducted in a specific season.In contrast,the Tiruchirappalli climate is characterized by a higher range of environmental variables.Therefore,to understand the thermal comfort conditions and usage of the environmental controls in naturally ventilated hostel buildings at the higher range of the environmental variables,a thermal comfort field study spread over one year was carried out at the National Institute of Technology,Tiruchirappalli,India,in twenty-seven hostel buildings.This study relies on field observation and thermal comfort responses from 2028 questionnaires collected from the students between September 2019 to August 2020.The analysis revealed a neutral temperature of 29.5℃ and a comfort range from 26.1℃ to 32.8℃,indicating a wide range of ther-mal adaptation than suggested by the National Building Code of India and ASHRAE standard 55.The preferred temperature was 27.8℃,indicating that students preferred a cooler environment.Acceptability with sweating conditions extended the upper limit of thermal acceptability from 31.8℃ to 32.4℃.The use of a mosquito net can increase the probability of opening a window.Results indicated that overall behavioral adjustment could extend the comfort limits.The study results would be helpful to develop guidelines and designs for naturally ventilated hostel buildings in warm and humid climates that will contribute to reducing energy demand.
文摘Climate change is altering the timing and magnitude of biogeochemical fluxes in many high- elevation ecosystems. The consequent changes in alpine nitrification rates have the potential to influence ecosystem scale responses. In order to better understand how changing temperature and moisture conditions may influence ammonia oxidizers and nitrification activity, we conducted laboratory incubations on soils collected in a Colorado watershed from three alpine habitats （glacial outwash, talus, and meadow）. We found that bacteria, not archaea, dominated all ammonia oxidizer communities. Nitrification increased with moisture in all soils and under all temperature treatments. However, temperature was not correlated with nitrification rates in all soils. Site-specific temperature trends suggest the development of generalist ammonia oxidzer communities in soils with greater in situ temperature fluctuations and specialists in soils with more steady temperature regimes. Rapidly increasing tempera- tures and changing soil moisture conditions could explain recent observations of increased nitrate production in some alpine soils.
