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Interoception refers to the sensation and perception of internal bodily sensations, and may be related to depressive symptoms. Schemata concerning the body vary across different cultures and may influence interoception and symptom presentations of depression. This study explored the relationship between interoception, depressive symptoms, and schema of somatic focus in Chinese people with subsyndromal depression. Thirty‐nine individuals with subsyndromal depression (SD) and 40 healthy controls (HCs) were assessed at baseline and after 3 months. Participants completed the self‐report questionnaires for assessing interoceptive sensibility, somatic and psychological symptoms of depression, and somatization tendency. They also completed the heartbeat perception behavioral task for estimating interoceptive accuracy. The results showed that both the SD and the HC groups showed similar interoceptive accuracy, although the SD group showed heightened interoceptive sensibility. The discrepancy between interoceptive sensibility and interoceptive accuracy is termed the interoceptive trait prediction error (ITPE). The ITPE was positive in SD participants but was negative in HCs. In the entire sample, interoceptive sensibility and the ITPE were correlated with somatic symptoms rather than with psychological symptoms of depression. Interoceptive sensibility partially mediated the relationship between somatization tendency and somatic symptoms, after controlling for psychological symptoms of depression. These results remained stable after 3 months. The shortcomings of the present study were a lack of clinical interview to ascertain diagnosis and a short follow‐up duration. In conclusion, our study suggests that altered interoception occurs in subsyndromal depression. Interoception is related to somatic symptoms of depression. The schema of body was related to depressive symptoms, partially through interoception, in Chinese people with subsyndromal depression.

Phenological changes play a central role in regulating seasonal variation in the ecological processes, exerting significant impacts on hydrologic and nutrient cycles, and ultimately influencing ecosystem functioning such as carbon uptake. However, the potential impact mechanisms of phenological events on seasonal carbon dynamics in subtropical regions are under-investigated. These knowledge gaps hinder from accurately linking photosynthetic phenology and carbon sequestration capacity. Using chlorophyll fluorescence remote sensing and productivity data from 2000 to 2019, we found that an advancement in spring phenology increased spring gross (GPP) and net primary productivity (NPP) in subtropical vegetation of China by 2.1 gC m−2yr−1and 1.4 gC m−2yr−1, respectively. A delay in autumn phenology increased the autumnal GPP and NPP by 0.4 gC m−2yr−1and 0.2 gC m−2yr−1, respectively. Temporally, the contribution of the spring phenology to spring carbon uptake increased significantly during the study period, while this positive contribution showed a nonsignificant trend in summer. In comparison, the later autumn phenology could significantly contribute to the increase in autumnal carbon uptake; however, this contributing effect was weakened. Path analysis indicated that these phenomena have been caused by the increased leaf area and enhanced photosynthesis due to earlier spring and later autumn phenology, respectively. Our results demonstrate the diverse impacts of vegetation phenology on the seasonal carbon sequestration ability and it is imperative to consider such asymmetric effects when modeling ecosystem processes parameterized under future climate change.

Quantifying how climate factors affect vegetation phenology is crucial for understanding climate-vegetation interactions and carbon and water cycles under a changing climate. However, the effects of different intensities of extreme climatic events on vegetation phenology remain poorly understood. Using a long-term solar-induced chlorophyll fluorescence dataset, we investigated the response of vegetation phenology to extreme temperatures and precipitation events of different intensities across the Tibetan Plateau (TP) from 2000 to 2018. We found that the effect of maximum temperature exposure days (TxED) and minimum temperature exposure days (TnED) on the start of the growing season (SOS) was initially delayed and shifted to advance along the increasing temperature gradients. However, the response of the end of the growing season (EOS) to TxED and TnED shifted from an advance to a delay with increasing temperature gradients until the temperature thresholds were reached, above which thresholds produced an unfavorable response to vegetation growth and brought the EOS to an early end. The corresponding maximum and minimum temperature thresholds were 10.12 and 2.54°C, respectively. In contrast, cumulative precipitation (CP) was more likely to advance SOS and delay EOS as the precipitation gradient increased, but the advance of SOS is gradually weakening. Four vegetation types (i.e., forest, shrubland, meadow, and steppe) showed similar trends in response to different climates, but the optimal climatic conditions varied between the vegetation types. Generally, meadow and steppe had lower optimal temperatures and precipitation than forest and shrubland. These findings revealed the divergent responses of vegetation phenology to extreme climate events of different intensities, implying that the SOS will continue to advance with warming, whereas the EOS may undergo a partial transformation from delayed areas to advanced areas with continued warming.

A multicolor persistent luminescence solid polymeric system based on macrocycle-confined phosphorescence energy transfer was constructed with γ-cyclodextrin (γ-CD) and poly(vinyl alcohol) modified by triphenylene derivative (TP-PVA). Attributed to the fact that macrocycles effectively suppress the aggregation of guests and form a rigid environment via coassembling with the polymer, the phosphorescence lifetime of the yielded polymeric films is prolonged from 0.22 to 5.84 s, accompanied by a visible afterglow of more than 1 min. Furthermore, upon doping with several commercial dyes, full-color afterglow emissions with a duration of more than 50 s are realized through phosphorescence energy transfer. Notably, the multicolor-emitting-afterglow materials are successfully exploited for noctilucent lighting and anticounterfeiting ink.

This article presents 4 stages in the development of career guidance and counseling in education settings in Shanghai, People's Republic of China, from 1977 (after the Cultural Revolution) to 2015, [...]

Past studies have investigated the association between the built environment and active lifestyle, but the environmental exposure in most of these studies was measured in residential settings with predefined boundaries. In this study, we investigated the relationship between destinations in cities and walking behaviors in national and provincial capital cities in China based on a nationwide smartphone dataset. We identified destinations that were strongly and consistently associated with walking behaviors based on geographic information systems (GIS) spatial analysis. Results from this study suggest that certain components, especially parks, rivers, running tracks, of the built environment were positively associated with walking behaviors. Parks were consistently associated with more frequent walking behaviors while rivers were associated with longer walking trajectories. Findings from this study help better understand to what extent urban destinations influence physical activities and support evidence-based urban planning and health promotion in cities.

In the rural areas of China, using biomass boiler as an auxiliary heat source for district heating will be a promising way. In this paper, an experimental study on the performance of a 500-kW biomass fixed bed boiler under low-load operating conditions (15% ~ 40% of nominal load) was carried out. The results showed that low-load operation had no significant influence on the steady combustion of biomass boiler. For pollutants-discharged concentration, the overall emission concentration of NOxwas maintained at about 300 mg/m3, in which NO2accounted for a relatively large proportion compared with nominal load. NO2accounted for up to 63% of NOxat 15% of nominal load. In these cases, NO2had a very strong correlation with CO (Spearman = 0.867). Moreover, the impact of low-load operation on boiler efficiency was studied. The results showed that the operating conditions with boiler efficiency above 50% accounted for 44%, of which the highest efficiency was 55%.

ABSTRACTObjectives:To aid emergency response, Centers for Disease Control and Prevention (CDC) researchers monitor unplanned school closures (USCs) by conducting online systematic searches (OSS) to identify relevant publicly available reports. We examined the added utility of analyzing Twitter data to improve USC monitoring.Methods:Georgia public school data were obtained from the National Center for Education Statistics. We identified school and district Twitter accounts with 1 or more tweets ever posted (“active”), and their USC-related tweets in the 2015-16 and 2016-17 school years. CDC researchers provided OSS-identified USC reports. Descriptive statistics, univariate, and multivariable logistic regression were computed.Results:A majority (1,864/2,299) of Georgia public schools had, or were in a district with, active Twitter accounts in 2017. Among these schools, 638 were identified with USCs in 2015-16 (Twitter only, 222; OSS only, 2015; both, 201) and 981 in 2016-17 (Twitter only, 178; OSS only, 107; both, 696). The marginal benefit of adding Twitter as a data source was an increase in the number of schools identified with USCs by 53% (222/416) in 2015-16 and 22% (178/803) in 2016-17.Conclusions:Policy-makers may wish to consider the potential value of incorporating Twitter into existing USC monitoring systems.

ABSTRACTGastric cancer (GC) is a serious digestive tract disease that threatens human life worldwide, and the prognosis of gastric cancer accompanied by distant lymph node or the distant metastasis organs is worse. The purpose of this study was to investigate the role of circular RNA COL6A3_030 (circBase ID: hsa_circ_0006401; circRNADb ID: hsa_circ_28198; circBank ID: hsa_circCOL6A3_030) in GC metastasis. qRT-PCR analysis using back-splicing primers and Sanger sequencing of PCR products were performed to identify circCOL6A3_030 in GC tissues and cell lines; RNA-FISH assay was performed to validate the subcellular localization of circCOL6A3_030. Transwell and wound-healing assays were carried out to evaluate the migration ability of GC cells. Western blot was conducted to detect the polypeptide encoded by circCOL6A3_030 in cells. circCOL6A3_030 was down-regulated in GC tissues and cell lines, while circCOL6A3_030 was up-regulated in GC with distant lymph node metastasis. The migration of circCOL6A3_030 silenced GC cells was significantly inhibited in both SGC-7901 and BGC-823 cell lines. Importantly, in vivo assay, silencing circCOL6A3_030 could reduce liver metastases from gastric cancer cells. Meanwhile, further studies suggested that circCOL6A3_030 encoded a small peptide that had a function as a tumor-promoting metastasis factor and immunohistochemistry confirmed the presence of this polypeptide. To sum up, our study showed that circCOL6A3_030 promoted GC cell migration by encoding a small peptide called circCOL6A3_030_198aa. Therefore, our results highlight the potential role of circCOL6A3_030 for clinical diagnosis and treatment of GC with distant lymph node metastasis.

Potassium-ion batteries (PIBs) are emerging as promising next-generation electrochemical storage systems for their abundant and low-cost potassium resource. The key point of applying PIBs is to exploit stable K-host materials to accommodate the large-sized potassium ion. In this work, a yolk–shell structured MoS2@hollow porous carbon-sphere composite (MoS2@HPCS) assembled by engineering HPCS-confined MoS2with expanded (002) planes is proposed for boosting potassium-ion storage. When used as a PIB anode, the as-synthesized MoS2@HPCS composite shows superior potassium storage performance. It delivers a reversible capacity of 254.9 mAh g–1at 0.5 A g–1after 100 discharge/charge cycles and maintains 126.2 mAh g–1at 1 A g–1over 500 cycles. The superior potassium-ion storage performance is ascribed to the elaborate yolk–shell nanoarchitecture and the expanded interlayer of the MoS2nanosheet, which could shorten the transport distance, enhance the electronic conductivity, relieve the volume variation, prevent the self-aggregation of MoS2, facilitate the electrolyte penetration, and boost the intercalation/deintercalation of K+. Moreover, the potential application of the MoS2@HPCS composite is also evaluated by assembled K-ion full cells with a perylenetetracarboxylic dianhydride cathode. Accordingly, the as-developed synthetic strategy can be extended to manufacture other host materials for PIBs and beyond.

Lake surface water temperature (LSWT) is an important factor of water ecological environment. In the context of global warming, the LSWT of global lakes generally reveals an upward trend. With a continuous intensification of human activities and a rapid expansion of the impervious surface, urbanization has exerted an increasing impact on the environment, so the impact of human activities on LSWT cannot be ignored. Because of the special geographical location, the change of LSWT in plateau lakes has important impacts on climate diversity, biodiversity, and cultural diversity. As a result, it is critical to monitor and model the variation characteristics of LSWT in the plateau area. Based on the data set of natural factors representing climate change and human factors representing human activities, this study proposes a classification of lake types by K‐Means clustering method. At watershed scale, 11 lakes in the study area are divided into three types: Natural Lake, Semi‐urban Lake, and Urban Lake (UL). Based on this classification, the variation characteristics of LSWT for the eleven lakes from 2001 to 2017 are analyzed. The causal relationship and contribution of climate change and human activities to the rise of LSWT are discussed. Results show that (1) from 2001 to 2017, the annual mean of LSWT‐day/night and near‐surface air temperature in the 11 lakes show a warming trend, a significant correlation (R= 0.82, α =0.0164 <0.5) and a same periodicity, which indicates that near‐surface air temperature is one of the main influencing factors of LSWT warming in Yunnan‐Guizhou Plateau. (2) LSWT warming trend of UL is more obvious than those of Semi‐urban Lake and Natural Lake, indicating that human activities have more significant impact on LSWT of UL. The main driving factors are the impervious surface expansion and population increase. (3) The influence of human activities on the LSWT in Yunnan‐Guizhou Plateau is becoming more and more significant, and it is also the main factor in causing the deterioration of lake water environment in Yunnan‐Guizhou Plateau. Lakes are divided into Natural Lake, Semi‐urban Lake, and Urban Lake by K‐Means clustering algorithmLSWT warming rate is dependent on combinations of NSAT and human activities; the average rate of LSWT increased is faster than the rate at which air temperatures increasedHuman activity will become the main driving factor of LSWT increasing in the research area

This study examined the goals of emotion‐regulation in people with high levels of trait anxiety using the Stimulus Selection Task and self‐report scales. People with high trait anxiety were more likely to choose to increase their levels of anxiety than those with low trait anxiety, across demanding and undemanding situations.

AbstractIn order to improve the learning of innovative talents, the paper organically combine the learning motivation and self-efficacy, in a typical representative of the local normal universities as an example, with a total of 4305 undergraduates, analyzed the relationship between surface motivation and deep motivation, the relationship between learning motivation and self-efficacy, learning time and self-efficacy, and academic performance self-assessment and learning motivation & self-efficacy. Based on the above empirical research, this paper provides reference on the improvement of learning motivation for students of local colleges and universities.

Individuals with misophonia present with sensitivity to selective sounds and, may experience negative psychological and physiological reactions when exposed to triggers. Previous studies have examined the clinical correlates and phenomenology of misophonia; however, further research is warranted to extend findings beyond samples from Western cultures. Accordingly, this study investigated the incidence and phenomenology of misophonia in a sample of Chinese college students (N=415; Mage =19.81; SD=1.16) through the use of self-report measures. Approximately 6% of the sample exhibited clinically significant misophonia symptoms with associated impairment. In addition, misophonia symptoms were associated with impairment across work, school, social, and family domains. Medium to strong relationships were observed with general sensory sensitivities, obsessive-compulsive, anxiety, and depressive symptoms. Anxiety significantly mediated the relationship between misophonia and anger outbursts. This study indicates that symptoms of misophonia are common and directly associated with multiple domains of psychopathology.

When precipitation happens in summer, the thermal runoff from impervious surfaces flow into urban lakes, causing the rise of the surface water temperature. Such a process eventually leads to the short‐term effects of cyanobacteria blooms in eutrophic lakes and the long‐term effects of changes in the structure and quantity of lake species. It is of great scientific significance to understand the heat exchange process between surface air, underlying surface, and surface runoff and reveal the thermal runoff formation mechanism. In this study, the heat transfer models between land, surface‐air, and surface‐water were implemented, aiming to quantify the heating process of surface runoff caused by surface heat load under real conditions. The results show that the two established models can accurately simulate the heat exchange process. Based on our model simulations and field measurements, we analyzed the impact of weather conditions, hydrological conditions, and underlying surface types on runoff temperature. The study finds that the initial surface temperature, wind speed, rainfall intensity, thermal conductivity, and the underlying surface's water permeability can explain 95.4% and 91.9% of the observed differences in surface runoff heating and temperature increase rate, respectively. The initial surface temperature is the most critical factor in the heat exchange process. The reduction of urban ventilation will aggravate the heat effect of surface runoff. Compared with the underlying permeable surface, the impervious surface is the main driving force for the formation of surface thermal runoff pollution.

G-quadruplex (G4) is widely known as a non-classical secondary structure of nucleic acid. With the in-depth study of G4, it is an urgent need for a phosphorescent probe with a high G4 binding ability to evaluate the level of G4 in the cytoplasm. Thus, this study designed and synthesized Ir-PDPwhere an Ir(III) complex was used as a phosphorescent emitter. Meanwhile, two installed PDPs (pyridostatin derivatives) were used to improve the combination ability with G4 and reduced the cytotoxicity of the Ir(III) complex. Compared with other nucleic acid secondary structures, Ir-PDPproduced a higher phosphorescence lifetime after interacting with G4. Ir-PDPwas distributed in the cytoplasm of living cells, and two-photon phosphorescence lifetime imaging can detect the binding events of the probe in the cytoplasm. The addition of G4 binder PDS significantly regulated cytoplasmic phosphorescence lifetime. The project explored a new sensing pathway to observe the binding manners of probes in the cytoplasm through the phosphorescence lifetime of probes.

AbstractObjective:Researchers at the Centers for Disease Control and Prevention monitor unplanned school closure (USC) reports through online systematic searches (OSS) to assist public health emergency responses. We counted the additional reports identified through social media along with OSS to improve USC monitoring.Methods:Facebook and Twitter data of public-school districts and private schools in counties affected by California wildfires in October and December of 2017 and January of 2018 were retrieved. We computed descriptive statistics and performed multivariable logistic regression for both OSS and social media data.Results:Among the 362 public-school districts in wildfire-affected counties, USCs were identified for 115 (32%) districts, of which OSS identified 104 (90%), Facebook, 59 (52%), and Twitter, 37 (32%). These data correspond to 4622 public schools, among which USCs were identified for 888 (19.2%) schools, of which OSS identified 722 (81.3%), Facebook, 496 (55.9%), and Twitter, 312 (35.1%). Among 1289 private schools, USCs were identified for 104 schools, of which OSS identified 47 (45.2%), Facebook, 67 (64.4%), and Twitter, 29 (27.9%). USC announcements identified via social media, in addition to those via OSS, were 11 public school districts, 166 public schools, and 57 private schools.Conclusion:Social media complements OSS as additional resources for USC monitoring during disasters.

ABSTRACTUrban functions are closely related to people’s spatiotemporal activity patterns, transportation needs, and a city’s business distribution and development trends. Studies investigating urban functions have used different data sources, such as remotely sensed imageries, observation, photography, and cognitive maps. However, these data sources usually suffer from low spatial, temporal, and thematic resolution. This article attempts to investigate human activities to understand urban functions through crowdsourcing social media data. In this study, we mined Twitter and Foursquare data to extract and analyze six types of human activities. The spatiotemporal analysis revealed hotspots for different activity intensities at different temporal resolution. We also applied the classified model in a real-time system to extract information of various urban functions. This study demonstrates the significance and usefulness of social sensing in analyzing urban functions. By combining different platforms of social media data and analyzing people’s geo-tagged city experience, this article contributes to leverage voluntary local knowledge to better depict human dynamics, discover spatiotemporal city characteristics, and convey information about cities.

A key feature of positive education is its focus on factors that can help students flourish. In the current study, we examined the role of resilience in promoting optimal mental health of Chinese secondary school students who suffered the 2008 Wenchuan earthquake, China. In the earthquake central region, 518 participants recruited in November 2008 about 6 months and 473 participants recruited 1 year after the earthquake, were assumed to have the highest and mid-level disaster stress levels, respectively. 602 participants from areas unaffected by the earthquake in December 2008 were assumed to have the lowest stress level. Participants’ mental health and resilience were assessed by the clinical scales of the Cross-cultural (Chinese) Personality Assessment Inventory for Adolescents and the Resilience Scale for Chinese Adolescents, respectively. Higher stress level participants reported significantly lower resilience and higher mental health problems. Negative correlations between resilience and mental health problems were confirmed across the three groups. Only supportive power resilience showed significant predictions on mental health problems in the two earthquake groups. The implications on mental health counseling and positive education in Chinese secondary school students were discussed.

AbstractPermanent forest plots (PSP) were used to investigate long-term basal-area tree growth rates across the boreal forests in Canada. The objectives were to discern whether or not these rates i) are similar across the boreal zone and ii) correlate to change in climate from 1970 to 2010. The results show that rates vary by region, with decreasing growth rates for about 60% of individual trees in western Canada (Alberta, Saskatchewan, Manitoba) but increasing rates for about 70% of individual trees in eastern Canada (Ontario and Quebec). These changes are interpreted from an overall carbon sequestration perspective and within the context of available precipitation and air temperature data and an annual climate moisture index. This study provides long-term plot-based evidence for the ecological variability and regional differences in tree growth detected by satellite-based remote-sensing and tree-ring studies in Canada's boreal forests.

Drought-induced tree mortality is expected to increase worldwide under projected future climate changes. The Canadian boreal forests, which occupy about 30% of the boreal forests worldwide and 77% of Canada's total forested land, play a critical role in the albedo of Earth’s surface and in its global carbon budget. Many of the previously reported regional-scale impacts of drought on tree mortality have affected low- and middle-latitude tropical regions and the temperate forests of the western United States, but no study has examined high-latitude boreal regions with multiple species at a regional scale using long-term forest permanent sampling plots. Here, we estimated tree mortality in natural stands throughout Canada's boreal forests using data from the permanent sampling plots and statistical models. We found that tree mortality rates increased by an overall average of 4.7% yr−1from 1963 to 2008, with higher mortality rate increases in western regions than in eastern regions (about 4.9 and 1.9% yr−1, respectively). The water stress created by regional drought may be the dominant contributor to these widespread increases in tree mortality rates across tree species, sizes, elevations, longitudes and latitudes. Western Canada seems to have been more sensitive to drought than eastern Canada.

Olfactory reference disorder (ORD), a newly included disorder in the ICD-11, is characterized by ‘pathological’ concerns about emitting body odor. While research is emerging on the construct, no study has directly examined the boundary between ORD and normal body odor concerns. That is, should ORD be considered as categorical in nature versus a more dimensional construct? As such, the current study explored the extent to which ORD symptoms correspond to a distinct category or dimension in a mixed university student and community sample (n = 757). Three indicators, derived from the Yale-Brown Obsessive Compulsive Scale Modified for Olfactory Reference Syndrome, were submitted to three independent taxometric procedures: MAMBAC, MAXEIG, and L-Mode. Two of three procedures showed that the latent structure of ORD is dimensional rather than categorical. The comparison curve fit index profile method yielded dimensional structure. Results suggested that researchers and clinical practitioners would be well-advised to conceptualize, assess, and treat ORD symptoms in a dimensional way.