Search

Visibility data are fundamental meteorological observation data widely used in many fields. When using visibility data, it is often necessary to calculate the average visibility, which used to be the arithmetic average of the visibility data directly. In this study, we first analyze the relationship between the visibility, the extinction coefficient, and the atmospheric compositions. Then we propose to use the harmonic average of visibility data as the average visibility, which can better reflect changes in atmospheric extinction coefficients and aerosol concentrations. It is recommended to use the harmonic average visibility in the studies of climate change, atmospheric radiation, air pollution, environmental health, etc.

Major life events can cause great upheaval in one's life. Many people perceive their identities to change due to major life events. During identity shifts, impression management and self-presentation, online communities, and social media affordances can allow individuals to better facilitate their experiences. To examine how people perceive their identity to change during major events and how they use social media in the process, we interviewed 28 participants who recently experienced major life events. We found that many people perceived their identity to change through various avenues that they felt were important to their identity: mental processes, identity roles, and identity fulfillment. However, some people perceive their identity to be maintained rather than changed. During identity changes or maintenance, participants utilized impression management and self-presentation to curate their online presence. Participants also used online communities to build relationships with similar others or virtual friends and enable more connections via what we call the domino effect. Social media sites also provided the affordances of editability, visibility control, and spreadability, which can help ease life transition and identity change processes.

OBJECTIVE: Ultraprocessed food (UPF) intake is associated with BMI, but effects on regional adipose depots or related to minimally processed food (MPF) intake are unknown. METHODS: Data included 12,297 adults in the National Health and Nutrition Examination Survey (NHANES), 2011 to 2016. This study analyzed associations between usual percentage of kilocalories from UPFs and MPFs and three adiposity indicators: supine sagittal abdominal diameter to height ratio (SADHtR, estimates visceral adiposity); waist circumference to height ratio (WHtR, estimates abdominal adiposity); and BMI, using linear and multinomial logistic regression. RESULTS: Standardized β coefficients per 10% increase in UPF intake were 0.0926, 0.0846, and 0.0791 for SADHtR, WHtR, and BMI, respectively (all p < 0.001; p > 0.26 for pairwise differences). For MPF intake, the β coefficients were −0.0901, −0.0806, and −0.0688 (all p < 0.001; p > 0.18 pairwise). Adjusted odds ratios (95% CI) for adiposity tertile 3 versus tertile 1 (comparing UPF intake quartiles 2, 3, and 4 to quartile 1) were 1.33 (1.22-1.45), 1.67 (1.43-1.95), and 2.24 (1.76-2.86), respectively, for SADHtR; 1.31 (1.19-1.44), 1.62 (1.37-1.91), and 2.13 (1.63-2.78), respectively, for WHtR; and 1.27 (1.16-1.39), 1.53 (1.31-1.79), and 1.96 (1.53-2.51), respectively, for BMI. MPF intake showed inverse associations with similar trends in association strength. CONCLUSIONS: Among US adults, abdominal and visceral adiposity indictors were positively associated with UPFs and inversely associated with MPFs.

Artificial spin ice (ASI) consisting patterned array of nano-magnets with frustrated dipolar interactions offers an excellent platform to study frustrated physics using direct imaging methods. Moreover, ASI often hosts a large number of nearly degenerated and non-volatile spin states that can be used for multi-bit data storage and neuromorphic computing. The realization of the device potential of ASI, however, critically relies on the capability of transport characterization of ASI, which has not been demonstrated so far. Using a tri-axial ASI system as the model system, we demonstrate that transport measurements can be used to distinguish the different spin states of the ASI system. Specifically, by fabricating a tri-layer structure consisting a permalloy base layer, a Cu spacer layer and the tri-axial ASI layer, we clearly resolve different spin states in the tri-axial ASI system using lateral transport measurements. We have further demonstrated that the tri-axial ASI system has all necessary required properties for reservoir computing, including rich spin configurations to store input signals, nonlinear response to input signals, and fading memory effect. The successful transport characterization of ASI opens up the prospect for novel device applications of ASI in multi-bit data storage and neuromorphic computing.

Marine phages play an important role in marine biogeochemical cycles by regulating the death, physiological metabolism, and evolutionary trajectory of bacteria. The Roseobacter group is an abundant and important heterotrophic bacterial group in the ocean, and plays an important role in carbon, nitrogen, sulfur and phosphorus cycling. The CHAB-I-5 lineage is one of the most dominant Roseobacter lineages, but remains largely uncultured. Phages infecting CHAB-I-5 bacteria have not yet been investigated due to the lack of culturable CHAB-I-5 strains. In this study, we isolated and sequenced two new phages (CRP-901 and CRP-902) infecting the CHAB-I-5 strain FZCC0083. We applied metagenomic data mining, comparative genomics, phylogenetic analysis, and metagenomic read-mapping to investigate the diversity, evolution, taxonomy, and biogeography of the phage group represented by the two phages. The two phages are highly similar, with an average nucleotide identity of 89.17%, and sharing 77% of their open reading frames. We identified several genes involved in DNA replication and metabolism, virion structure, DNA packing, and host lysis from their genomes. Metagenomic mining identified 24 metagenomic viral genomes closely related to CRP-901 and CRP-902. Genomic comparison and phylogenetic analysis demonstrated that these phages are distinct from other known viruses, representing a novel genus-level phage group (CRP-901-type). The CRP-901-type phages do not contain DNA primase and DNA polymerase genes, but possess a novel bifunctional DNA primase-polymerase gene with both primase and polymerase activities. Read-mapping analysis showed that the CRP-901-type phages are widespread across the world’s oceans and are most abundant in estuarine and polar waters. Their abundance is generally higher than other known roseophages and even higher than most pelagiphages in the polar region. In summary, this study has greatly expanded our understanding of the genetic diversity, evolution, and distribution of roseophages. Our analysis suggests that the CRP-901-type phage is an important and novel marine phage group that plays important roles in the physiology and ecology of roseobacters.

This letter presents a novel multi-channel improved Contrastive Predictive Coding (CPC) method to extract signal features. Specifically, to extract low pulse width radar signal features and meet the real-time requirements of signal identification, we design a lightweight encoder to realize the CPC feature encoding function. Then, we construct a multi-channel CPC feature decoder to mine and extract subtle individual signal features from the perspective of multi-domain and multi-channel information input. Simulation results verify the effectiveness of our proposed method, which can achieve state-of-the-art results in both accuracy and running time compared to the existing optimal methods. All our models and code are available at https://github.com/jn-z/MC-CPC.

Viruses play critical roles in influencing biogeochemical cycles and adjusting host mortality, population structure, physiology, and evolution in the ocean. Marine viral communities are composed of numerous genetically distinct subfamily/genus-level viral groups. Among currently identified viral groups, the HMO-2011-type group is known to be dominant and broadly distributed. However, only four HMO-2011-type cultivated representatives that infect marine SAR116 and Roseobacter strains have been reported to date, and the genetic diversity, potential hosts, and ecology of this group remain poorly elucidated. Here, we present the genomes of seven HMO-2011-type phages that were isolated using four Roseobacter strains and one SAR11 strain, as well as additional 207 HMO-2011-type metagenomic viral genomes (MVGs) identified from various marine viromes. Phylogenomic and shared-gene analyses revealed that the HMO-2011-type group is a subfamily-level group comprising at least 10 discernible genus-level subgroups. Moreover, >2000 HMO-2011-type DNA polymerase sequences were identified, and the DNA polymerase phylogeny also revealed that the HMO-2011-type group contains diverse subgroups and is globally distributed. Metagenomic read-mapping results further showed that most HMO-2011-type phages are prevalent in global oceans and display distinct geographic distributions, with the distribution of most HMO-2011-type phages being associated with temperature. Lastly, we found that members in subgroup IX, represented by pelagiphage HTVC033P, were among the most abundant HMO-2011-type phages, which implies that SAR11 bacteria are crucial hosts for this viral group. In summary, our findings substantially expand current knowledge regarding the phylogenetic diversity, evolution, and distribution of HMO-2011-type phages, highlighting HMO-2011-type phages as major ecological agents that can infect certain key bacterial groups.

Objectives To explore the prevalence, characteristics, age distribution and etiology changes of chronic atrophic gastritis (CAG) in South China. Methods This study included all patients who underwent endoscopy examinations from 2011 to 2020 in our hospital. Patients were divided into groups 1 (2011–2015) and 2 (2016–2020). The prevalence, characteristics, age distribution and etiology changes of CAG were compared between groups. Results Overall CAG prevalence was 20.92% (24,084/115,110) from 2011 to 2020; prevalence significantly differed between groups (18.78%, 8468/45,087, in group 1 and 22.30%, 15,616/70,023, in group 2). Patients with CAG had significantly younger age (under 45) and more corpus atrophy and more autoimmune atrophic gastritis (AAG) in group 2 than in group 1. AAG prevalence in group 2 was 30.11% (4702/15,616) significantly higher than 13.57% (1149/8468) in group 1. 82 patients with AAG later exhibited gastric cancer without obvious clinical features over the decade. Conclusions CAG is increasing and seems starting earlier among people during the study period. We need to focus on diagnosis and treatment of corpus related atrophy and AAG, especially for the young. Laboratory examination, endoscopic biopsy and surveillance are important for CAG.

People often strive to present themselves authentically on social media, but this may not be possible for everyone. To understand how people view online authenticity, how it relates to social media sharing behaviors, and whether it is achievable, we interviewed 28 social media users who had recently experienced major life transitions. We found that to many participants, online authenticity required presenting a consistent, positive, and "true" self across online and offline contexts. Though most stated that they considered online authenticity achievable, their social media self-disclosure behaviors around life transitions revealed what we call the online authenticity paradox: people strive to achieve online authenticity, yet because doing so requires sharing negative experiences on social media, online authenticity is often unreachable, or is possible only at great personal cost - especially for those with marginalized identities and difficult life experiences.

The heartwood of Syringa oblata Lindl. (SO) is one of Mongolian folk medicines to treat insomnia and pain, while its pharmacological evaluation and underlying mechanism remain unclear. In this study, the sedative effect of ethanol extract of SO (ESO) was evaluated with the locomotor activity test and the threshold dose of pentobarbital sodium-induced sleep test in mice, and the hot plate test, acetic acid-induced writhing test, and formalin test in mice were used to evaluate its analgesic effect. The underlying mechanism of ESO analgesia was explored by RT-PCR and western blot analysis, which is associated with the regulation of the NF-κB signaling pathway. Besides, the main constituents of ESO were characterized by LC/MS data analysis and comparison with isolated pure compounds. The current findings brought evidence for clinical application and further pharmacological and phytochemical studies on SO.

Because the existing methods do not consider the random data packet loss problem, there is a large test error, and the problem of non–static disturbance suppression cannot be achieved. For this reason, a nonlinear network disturbance suppression method based on chaos optimization algorithm is proposed. Given the basic structure of the nonlinear network control system, it is concluded that the nonlinear network is mainly affected by uplink interference and downlink interference. A class of nonlinear network control systems with random packet loss data is studied. The protection entropy is obtained to monitor the packet loss data. Finally, a chaos optimization algorithm is used to suppress nonlinear network disturbances. The experimental results show that the proposed method can effectively suppress the disturbance under the uplink interference and downlink interference, and the test error is relatively small, the mean square error is 0.29, the maximum positive error is 0.521, and the maximum negative error is 0.21, which shows that the method is effective and can eliminate the influence of interference factors on the stability of nonlinear network.

Black carbon (BC) reduces the photolysis coefficient by absorbing solar radiation, thereby affecting the concentration of ozone (O3) near the ground. The influence of BC on O3 has thus received much attention. In this study, Mie scattering and the tropospheric Ultraviolet and Visible radiation model are used to analyze the effect of BC optical properties on radiation. Combined with data of O3 precursors in Nanjing in 2014, an EKMA curve is drawn, and the variations in O3 concentration are further investigated using a zero-dimensional box mechanism model (NCAR MM). When O3 precursors are unchanged, radiation and O3 show a highly similar tendency in response to changing BC optical properties (R=0.997). With the increase of modal radius, the attenuation of fresh BC to radiation and O3 first trends upward before decreasing. In the mixing process, the attenuation of BC to radiation and O3 presents an upward tendency with the increase of relative humidity but decreases rapidly before increasing slowly with increasing thickness of coating. In addition, mass concentration is another major factor. When the BC to PM2.5 ratio increases to 5% in Nanjing, the radiation decreases by approximately 0.13%–3.71% while O3 decreases by approximately 8.13%–13.11%. The radiative effect of BC not only reduces O3 concentration but also changes the EKMA curve. Compared with the NOx control area, radiation has a significant influence on the VOCs control area. When aerosol optical depth (AOD) increases by 17.15%, the NOx to VOCs ratio decreases by 8.27%, and part of the original NOx control area is transferred to the VOCs control area.

The aim of this study was to measure hypertension prevalence, awareness, treatment and control by depressive symptoms among USA adults.Using the National Health and Nutrition Examination Survey data from 2007 to 2018 ( n = 28 532), depressive symptoms were categorized as 'none or minimum', 'mild', 'moderate' and 'moderately severe or severe' by the Patient Health Questionnaire. Hypertension was assessed by history, blood pressure measures and antihypertensive medication use. Adjusted prevalence rates and adjusted prevalence ratios (APRs) of hypertension prevalence, awareness, treatment and control were measured.By depressive, the adjusted prevalence of hypertension (32.0, 34.2, 37.3 and 36.6%), awareness (80.6, 83.9, 85.7 and 89.8%) and treatment (73.1, 75.2, 78.6 and 83.9%) increased with advanced depressive symptoms, respectively (all P 0.001). However, no difference in hypertension control was noted after full adjustment. Compared with those with no or minimum depressive symptoms, APRs of hypertension prevalence for mild, moderate and moderately severe or severe depressive symptom were 1.07 (1.02-1.12), 1.16 (1.107-1.262) and 1.15 (1.05-1.26), respectively. The corresponding APRs were 1.04 (1.003-1.08), 1.06 (1.01-1.11) and 1.11 (1.06-1.17) for hypertension awareness, and 1.03 (0.98-1.07), 1.08 (1.02-1.14) and 1.15 (1.08-1.22) for hypertension treatment, respectively.Among USA adults, depressive symptoms were significantly associated with hypertension prevalence, awareness and treatment, but not with hypertension control. When managing hypertension, healthcare providers should be aware of the mental health status.

BACKGROUND Higher intake of ultraprocessed foods (UPFs) might be associated with increased risk of cardiovascular disease. OBJECTIVES Our objective was to examine the association between usual percentage of calories (%kcal) from UPFs and the American Heart Association's "Life's Simple 7" cardiovascular health (CVH) metrics in US adults. METHODS We analyzed data from 11,246 adults aged ≥20 y from the NHANES 2011-2016 (a cross-sectional, nationally representative survey). UPF designation was assigned on the basis of the NOVA classification system, according to the extent and purpose of food processing. Each CVH metric was given a score of 0, 1, or 2 representing poor, intermediate, or ideal health, respectively. Scores of the 6 metrics (excluding diet) were summed, and CVH was categorized as inadequate (0-4), average (5-8), or optimum (9-12). We used the National Cancer Institute's methods to estimate the usual %kcal from UPFs, and multivariable linear and multinomial logistic regression to assess the association between UPFs and CVH, adjusted for age, sex, race and Hispanic origin, education, and poverty. RESULTS The weighted prevalence of inadequate, average, and optimum CVH was 8.0%, 51.7%, and 40.3%, respectively. The mean usual %kcal from UPFs was 55.4%, and midpoint of quartiles of intake ranged from 40.4% (quartile 1) to 70.5% (quartile 4). Every 5% increase in calories from UPFs was associated with 0.14 points lower CVH score (P

This study aimed to determine whether higher intakes of Na, added sugars and saturated fat are prospectively associated with all-cause mortality and CVD incidence and mortality in a diverse population. The nationally representative Canadian Community Health Survey-Nutrition 2004 was linked with the Canadian Vital Statistics – Death Database and the Discharge Abstract Database (2004–2011). Outcomes were all-cause mortality and CVD incidence and mortality. There were 1722 mortality cases within 115 566 person-years of follow-up (median (interquartile range) of 7·48 (7·22–7·70) years). There was no statistically significant association between Na density or energy from saturated fat and all-cause mortality or CVD events for all models investigated. The association of usual percentage of energy from added sugars and all-cause mortality was significant in the base model with participants consuming 11·47 % of energy from added sugars having 1·34 (95 % CI 1·01, 1·77) times higher risk of all-cause mortality compared with those consuming 4·17 % of energy from added sugars. Overall, our results did not find statistically significant associations between the three nutrients and risk of all-cause mortality or CVD events at the population level in Canada. Large-scale linked national nutrition datasets may not have the discrimination to identify prospective impacts of nutrients on health measures.

Background To compare the efficacy of small-incision clamp-assisted reduction with open reduction for the treatment of femoral shaft fractures by anterograde intramedullary nailing. Methods The data of 63 patients with femoral shaft fractures, treated between January 2016 and June 2021, were retrospectively analyzed. All patients received anterograde intramedullary nail fixation, and the OA/OTA classification of fractures was 32-C. The average follow-up period was 13 months (range: 11–14 months). According to the method of fracture reduction, patients were divided into a small-incision clamp-reduction group (referred to as the clamp-reduction group) and an open-reduction group. The reduction time, operative time, the number of fluoroscopy, intraoperative blood loss, postoperative VAS score, postoperative time to discharge, and the rates of intraoperative and postoperative complications were compared between the two groups. Results There were statistically significant differences in reduction time, operative time, the number of fluoroscopy, intraoperative blood loss, postoperative VAS score, postoperative time to discharge (t = 6.718, − 11.679, 18.963, − 11.609, − 22.432, − 7.187; P Conclusions Both groups had good functional recovery after operation. However, compared with open reduction, clamp reduction is a safer reduction method with shorter operation time, less intraoperative blood loss, less postoperative pain, shorter hospital stay and fewer postoperative complications.

Visibility data are fundamental meteorological data widely used in many fields such as climate change, atmospheric radiation, atmospheric pollution, and environmental health. Calculating the average visibility is typically the first step when using visibility data. However, this study proves that the algorithm previously used to calculate average visibility is incorrect, leading to a non-negligible error in average visibility data. Moreover, the use of this incorrect algorithm not only artificially reduces the reliability of visibility data, but also affects the credibility and even the correctness of the conclusions reached in previous studies using visibility data. Therefore, we present the correct algorithm for average visibility, which should be applied to both future and previous research to significantly increase the reliability and application scope of visibility data.

A high percentage of total calories from ultra-processed foods has been associated with several cardiovascular disease risk factors. No study has examined the association between ultra-processed foods and heart age. This study examines the association between ultra-processed foods and excess heart age (difference between estimated heart age and chronological age) among U.S. adults.The National Health and Nutrition Examination Survey (2009-2016) data for participants aged 30-74 years without cardiovascular disease or stroke (n=12,640) was used. Ultra-processed food was assigned based on NOVA classification of food processing, with ultra-processed food being the highest level. This study estimated the usual percentage of calories from ultra-processed foods and used sex-specific Framingham heart age algorithms to calculate heart age. The multivariable linear or logistic regression was used to examine the association between ultra-processed foods and excess heart age or likelihood of excess heart age being ≥10 years. Data analyses were conducted in 2020.The median usual percentage of calories from ultra-processed foods was 54.5% (IQR=45.8%‒63.1%). Adjusted excess heart age increased from 7.0 years (95% CI=6.4, 7.6) in the lowest quintile (Q1) to 9.9 years (95% CI=9.2, 10.5) in the highest quintile (Q5) (p0.001). Compared with Q1, AORs for excess heart age of ≥10 years were 1.16 (95% CI=1.08, 1.25) in Q2, 1.29 (95% CI=1.14, 1.46) in Q3, 1.43 (95% CI=1.20, 1.71) in Q4, and 1.66 (95% CI=1.29, 2.14) in Q5 (p0.001). The pattern of association was largely consistent across subgroups.U.S. adults consumed more than half of total daily calories from ultra-processed foods. A higher percentage of calories from ultra-processed foods was associated with higher excess heart age and likelihood of excess heart age of ≥10 years.

Psychological suzhi, as a set of comprehensive, integrated, and positive psychological qualities in Chinese culture, is a concept that has emerged in the field of Chinese quality-oriented education and that attempts to serve as a comprehensive overview of a given individual’s mental health. More recently, however, researchers have determined that while psychological suzhi is a significant predictor of psychological outcomes, its individual components (cognitive, individuality, and adaptability qualities) all have a distinct impact on these outcomes. The present study was therefore designed to assess whether psychological suzhi and/or components thereof play a mediating role in the relationship between perceived social support (PSS) and life satisfaction among adolescents. In total, 2227 participants (Mage = 15.71 ± 0.82 years, 67.49% male) from western China were recruited for this study, and were assessed using adapted versions of the Multidimensional Scale of Perceived Social Support, the Satisfaction with Life Scale, and the Brief Psychological Suzhi Questionnaire for Middle School Students. Our analyses ultimately revealed that there were significant positive correlations between PSS, psychological suzhi and components thereof, and life satisfaction. We additionally employed a structural equation modeling approach which indicated that overall psychological suzhi partially mediated the relationship between PSS and life satisfaction, whereas the cognitive, individuality, and adaptability components of suzhi did not mediate this same relationship. This suggests that psychological suzhi may be an important regulator of the relationship between PSS and life satisfaction such that educators and legal guardians may be able to improve the life satisfaction of adolescents either via offering social support or via bolstering their psychological suzhi.

In this article, a novel flexible, wearable material with great EMI shielding performance was prepared through structuring fiber–carbon nanotube composite system. The composite possessed satisfactory heating performance and glucose-sensing characteristics, based on its excellent electrical conductivity and thermal conductivity. The carbon nanotube and epoxy resin composite material was cured by isopachous-rolling-shaping (IRS) process without sensitization. Under the optimal processing condition, the resultant sample showed a high electrical conductivity of 1.19 × 106 S m−1, the saturation magnetization of 4.83 emu/g. Surface morphologies, functional groups, and elemental analysis of composite were characterized by SEM and ATR-FTIR, respectively. Remarkably, the multilayer material exhibited favorable electromagnetic shielding performance with effectiveness of 60.9 dB (30–6000 MHz). In addition, it could stably heat up to 45 °C at a constant voltage of 3 V. Excellent electrocatalytic performance for glucose oxidation was shown in 0.1 mM NaOH solution, with the sensitivity up to 10190.35 μA mM−1 cm−2. By virtue of mutual reinforcement between multiwalled carbon nanotubes (MWNTs) and epoxy resin composites (RC), excellent electromagnetic properties and serviceability were obtained, which resulted in high durability for practical applications in electronic device engineering.

Inspired by the human brain, the spike-based neuromorphic system has attracted strong research enthusiasm because of the high energy efficiency and powerful computational capability, in which the spiking neurons and plastic synapses are two fundamental building blocks. Recently, two-terminal threshold switching (TS) devices have been regarded as promising candidates for building spiking neurons in hardware. However, how circuit parameters affect the spiking behavior of TS-based neurons is still an open question. Here, based on a leaky integrate-and-fire (LIF) neuron circuit, we systematically study the effect of both the extrinsic and intrinsic factors of NbOx -based TS neurons on their spiking behaviors. The extrinsic influence factors contain input intensities, connected synaptic weights, and parallel capacitances. To illustrate the effect of intrinsic factors, including the threshold voltage, holding voltage, and high/low resistance states of NbOx devices, we propose an empirical model of the fabricated NbOx devices, fitting well with the experimental results. The results indicate that with enhancing the input intensity, the spiking frequency increases first then decreases after reaching a peak value. Except for the connected synaptic weights, all other parameters can modulate the spiking peak frequency under high enough input intensity. Also, the relationship between energy consumption per spike and frequency of the neuron cell is further studied, leading guidance to design neuron circuits in a system to obtain the lowest energy consumption. At last, to demonstrate the practical applications of TS-based neurons, we construct a spiking neural network (SNN) to control the cart-pole using reinforcement learning, obtaining a reward score up to 450. This work provides valuable guidance on building compact LIF neurons based on TS devices and further bolsters the construction of high-efficiency neuromorphic systems.

Some life transitions can be difficult to discuss on social media, especially with networks of known ties, due to challenges such as stigmatization. Separate online networks can provide alternative spaces to discuss life transitions. To understand why and how people turn to separate networks, we interviewed 28 participants who had recently experienced life transitions. While prior research tends to focus on one life transition in isolation, this work examines social media sharing behaviors across a wide variety of life transitions. We describe how people often turn to separate networks during life transitions due to challenges faced in networks of known ties, yet encounter new challenges such as difficulty locating these networks. We describe support from waiting contributors and virtual friends. Finally, we provide insight into how online separate networks can be better designed through enhancing search functionality, promoting contribution, and providing context-sensitive templates for sharing in online spaces.

In August 2020, the U.S. President issued an executive order to ban the Chinese-based social platform WeChat, alleging that WeChat posed a national security risk. WeChat is a vital application for Chinese diasporic communities in the United States. The ban's status was uncertain for several months before it was temporarily halted and later revoked in 2021. Through interviews with 15 WeChat users and online participant observation, this study examines the anticipated impacts of the potential WeChat ban and participants' reactions. We find that participants described negative consequences of the potential ban, including adverse network and economic effects and disruption of community-building efforts. We also find that many participants considered WeChat to be critical infrastructure in the United States, as it has become an indispensable part of their daily lives. To frame participants' experiences, we introduce the concept of infrastructural migration-the process of users relocating to another digital media service that embodies the properties and functions of infrastructure or moving to an assemblage of different applications that meet their infrastructural needs separately. We then discuss implications for designing for infrastructural migration and future considerations for HCI research with diasporic communities.

In this paper, a new sinusoidal cascade chaotic map model is proposed, which constructs chaotic system by sinusoidal cascade of two identical 1D chaotic maps. This model can generate 1D chaotic system with wider parameter range and wider chaotic region. To verify its application in image encryption, a chaotic image encryption algorithm based on spiral traversal and finite field bidirectional diffusion is proposed. The pseudo-random sequences generated by three kinds of 1D chaotic maps improved by the sinusoidal cascade chaotic map model are used as the ciphers of the cryptosystem. Among them, SHA-256, SHA-512 and plain image are combined to generate the initial value of the system. The experimental results and security analysis show that the encryption algorithm designed in this paper can effectively resist exhaustive attack, differential attack, noise attack and so on, and the proposed model has superior performance in encryption speed and security.

Everyday, nearly 1000 U.S. adults experience out-of-hospital cardiac arrest (OHCA). Survival to hospital discharge varies across many factors, including sociodemographics, location of arrest, and whether bystander intervention was provided. The current study examines recent trends in OHCA survival by location of arrest using a cohort of emergency medical service (EMS) agencies that contributed data to the Cardiac Arrest Registry to Enhance Survival.The 2015 CARES cohort (N = 122,613) includes EMS agencies contributing data across five consecutive years, 2015-2019. We assessed trends in EMS-attended OHCA survival for the 2015 CARES cohort by location of arrest - public, residential, nursing home. Unadjusted and adjusted percentages were estimated using 3-level hierarchical logistic regression models among cases aged 18-65 years.Overall, survival from EMS-attended OHCA significantly increased from 12.5% in 2015 to 13.8% in 2019 (p = 0.001). Survival from bystander witnessed arrests also increased significantly from 17.8% in 2015 to 19.7% in 2019 (p = 0.004). The trend for survival increased overall and for bystander witnessed OHCAs occurring in public places and nursing homes.Increasing trends for EMS-attended OHCA survival were observed in the overall and bystander witnessed groups. No change in the trend for survival was observed among OHCAs in the groups most likely to have a desirable outcome - bystander witnessed, with a shockable rhythm, and receiving bystander intervention. Reporting and monitoring of OHCA may be an important first step in improving outcomes. Additional community interventions focused on bystander CPR and AED use may be warranted.

A wide range of research problems in physics and engineering involve the acquisition of high-resolution data. Recently, deep learning has proved to be a prospective technique for super-resolution (SR) reconstruction of fluid flows. General deep learning methods develop temporal multi-branch networks to improve SR accuracy while ignoring computational efficiency. Further, the generalization ability of the deep learning model in different fluid flow scenarios is still an unstudied issue. In this article, we propose an efficient multi-scale integration network called FlowSRNet to reconstruct the high-resolution flow fields. Specifically, we elaborately design a lightweight multi-scale aggregation block (LMAB) to capture multi-scale features of fluid data, which contains a parallel cascading architecture and feature aggregation module. The residual backbone of FlowSRNet is built by cascading the LMABs (cascaded blocks number N = 8) in a serial manner. Also, we present a small architecture LiteFlowSRNet (cascaded blocks number N = 2) for comparison. In addition, a corresponding SR dataset is constructed to train and test the proposed model, which contains different kinds of fluid flows. Finally, extensive experiments are performed on different fluid data to evaluate the performance of the proposed model. The results demonstrate that our approach achieves state-of-the-art SR performance on various fluid flow fields. Notably, our method enjoys merit of lightweight, which facilitates the development of the complicated calculation in computational fluid dynamics.

In this paper, a new discrete memristive chaotic system with infinitely wide parameter range is designed. Firstly, a discrete memristor based on a triangular wave function is constructed. The memristor conforms to the definition of generalized memristor, and a new three-dimensional memristive chaotic system is designed based on it. Numerical simulations show that it can generate chaotic sequences with high complexity.Otherwise, an improved perturbation method is proposed to estimate the output sequence of the differential system. At the same time, it is proved mathematically that the new system can always be in chaotic or hyperchaotic state with infinitely wide parameter range under certain conditions. By observing the Lyapunov exponent spectrum and the phase diagram, it is found as the absolute value of the parameter increases, the output range and ergodicity of the new system are also enhanced, and the new system has super multi-stability. This paper analyzes the mechanism of the discrete memristive chaotic system generating infinitely coexisting attractors, puts forward a method to make ordinary chaotic systems easier to obtain super multi-stability, and verifies it. The results show it is effective. Finally, the DSP hardware platform is used to implement the new system, which proves the physical existence and realizability of the system.

Viruses are the most abundant living entities in marine ecosystems, playing critical roles in altering the structure and function of microbial communities and driving ocean biogeochemistry. Phages that infect Roseobacter clade-affiliated (RCA) cluster strains are an important component of marine viral communities. Here, we characterize the genome sequences of two new RCA phages, CRP-9 and CRP-13, which infect RCA strain FZCC0023. Genomic analysis reveals that CRP-9 and CRP-13 represent a novel evolutionary lineage of marine phages. They both have a DNA replication module most similar to those in Cobavirus group phages. In contrast, their morphogenesis and packaging modules are distinct from those in cobaviruses but homologous to those in HMO-2011-type phages. The genomic architecture of CRP-9 and CRP-13 suggests a genomic recombination event between distinct phage groups. Metagenomic data sets were examined for metagenome-assembled viral genomes (MAVGs) with similar recombinant genome architectures. Fifteen CRP-9-type MAVGs were identified from marine viromes. Additionally, 158 MAVGs were identified containing HMO-2011-type morphogenesis and packaging modules with other types of DNA replication genes, providing more evidence that recombination between different phage groups is a major driver of phage evolution. Altogether, this study significantly expands the understanding of diversity and evolution of marine roseophages. Meanwhile, the analysis of these novel RCA phages and MAVGs highlights the critical role of recombination in shaping phage diversity. These phage sequences are valuable resources for inferring the evolutionary connection of distinct phage groups. IMPORTANCE Diversity and evolution of phages that infect the relatively slow-growing but dominant Roseobacter lineages are largely unknown. In this study, RCA phages CRP-9 and CRP-13 have been isolated on a Roseobacter RCA strain and shown to have a unique genomic architecture, which appears to be the result of a recombination event. CRP-9 and CRP-13 have a DNA replication module most similar to those in Cobavirus group phages and morphogenesis and packaging modules most similar to those in HMO-2011-type phages. HMO-2011-type morphogenesis and packaging modules are found in combination with distinct types of DNA replication genes, suggesting compatibility with various DNA replication modules. Altogether, this study contributes toward a better understanding of marine viral diversity and evolution.

Growth factors (GFs) are soluble proteins extracellular that control a wide range of cellular processes as well as tissue regeneration. While transforming growth factor beta-1 (TGF-β1) promotes chondrogenesis, its medical use is restricted by its potential protein instability, which necessitates high doses of the protein, which can result in adverse side effects such as inefficient cartilage formation. In this work, we have developed a novel hydrogel composite based on the polymer, cross-linked thiolated chitosan; TCS and carboxymethyl cellulose; CMC (TCS/CMC) hydrogel system was utilized as injectable TGF-β1 carriers for cartilage tissue engineering applications. Rheological measurements showed that the elastic modulus of TCS/CMC hydrogels with an optimized CMC concentration could reach around 2.5 kPa or higher than their respective viscous modulus, indicating that they behaved like strong hydrogels. Crosslinking significantly alters the overall network distribution, surface morphology, pore size, porosity, gelation time, swelling ratio, water content, and in vitro degradation of the TCS/CMC hydrogels. TCS/CMC hydrogels maintain more than 90% of their weight and retain their original form after 21 days. TGF-β1 released marginally from TCS/CMC hydrogels as incubation time increased, up to 21 days, with around 18.6 ± 0.9% of the drug stored inside the TCS/CMC hydrogels. On day 21, BMSC treated with TGF-β1 in medium or TGF-β1-loaded TCS/CMC hydrogels grew faster than the other groups. For in vivo cartilage repair, full-thickness cartilage defects were induced on rat knees for 8 weeks. The optimal ability of this novel TGF-β1-loaded TCS/CMC hydrogel system was further demonstrated by histological analysis, resulting in a novel therapeutic strategy for repairing articular cartilage defects. Research HighlightsAn in situ forming and injectable thiolated chitosan and carboxymethyl cellulose hydrogel was fabricated for cartilage tissue engineering.TCS/CMC displays suitable gelation time with high swelling ratio, tunable mechanical properties and highly porous.TGF-β1-loaded-TCS/CMC hydrogels showed maximum drug release activity.TGF-β1-loaded-TCS/CMC hydrogels had good biocompatibility to articular chondrocytes.An injectable TCS/CMC/TGF-β1 hydrogel is a promising material system for cartilage tissue engineering.

Abnormal glucose and lipid metabolism in COVID-19 patients were recently reported with unclear mechanism. In this study, we retrospectively investigated a cohort of COVID-19 patients without pre-existing metabolic-related diseases, and found new-onset insulin resistance, hyperglycemia, and decreased HDL-C in these patients. Mechanistically, SARS-CoV-2 infection increased the expression of RE1-silencing transcription factor (REST), which modulated the expression of secreted metabolic factors including myeloperoxidase, apelin, and myostatin at the transcriptional level, resulting in the perturbation of glucose and lipid metabolism. Furthermore, several lipids, including (±)5-HETE, (±)12-HETE, propionic acid, and isobutyric acid were identified as the potential biomarkers of COVID-19-induced metabolic dysregulation, especially in insulin resistance. Taken together, our study revealed insulin resistance as the direct cause of hyperglycemia upon COVID-19, and further illustrated the underlying mechanisms, providing potential therapeutic targets for COVID-19-induced metabolic complications.

Studies of the association between ultraprocessed foods (UPF) and cardiovascular disease risk factors have been mainly focused on the adult population. This study examined the association between usual percentage of calories (%kcal) from UPF and the American Heart Association's seven cardiovascular health (CVH) metrics among U.S. adolescents aged 12-19 years.We used data from the National Health and Nutrition Examination Survey 2007-2018 (n = 5,565). The NOVA food system was used to classify UPF according to the extent and purpose of food processing. Each CVH metric was given a score of 0, 1, or 2 (poor, intermediate, or ideal health, respectively). Scores of six metrics were summed (excluding diet) to categorize CVH as low (0-7), moderate (8-10), or high (11-12). The National Cancer Institute's methods were used to estimate usual %kcal from UPF. Multivariable linear regression and multinomial logistic regression were used to evaluate the association between UPF and CVH.Among youth, 12.1% had low CVH, 56.3% moderate, and 31.6% high. The mean usual %kcal from UPF was 65.7%. Every 5% increase in calories from UPF was associated with .13 points lower CVH scores (p.001). Comparing Q2, Q3, and Q4 to Q1 of UPF intake, the adjusted odds ratios for low versus high CVH were 1.43 (95% confidence interval 1.16-1.76), 1.86 (1.29-2.66), and 2.59 (1.49-4.55), respectively. The pattern of association was largely consistent across subgroups.U.S. adolescents consume about two thirds of daily calorie from UPF. There was a graded inverse association between %kcal from UPF and CVH score.

SAR11 bacteria dominate ocean surface bacterioplankton communities, and play an important role in marine carbon and nutrient cycling. The biology and ecology of SAR11 are impacted by SAR11 phages (pelagiphages) that are highly diverse and abundant in the ocean. Among the currently known pelagiphages, HTVC010P represents an extremely abundant but under-studied phage group in the ocean. In this study, we have isolated seven new HTVC010P-type pelagiphages, and recovered 77 nearly full-length HTVC010P-type metagenomic viral genomes from marine metagenomes. Comparative genomic and phylogenomic analyses showed that HTVC010P-type pelagiphages display genome synteny and can be clustered into two major subgroups, with subgroup I consisting of strictly lytic phages and subgroup II mostly consisting of phages with potential lysogenic life cycles. All but one member of the subgroup II contain an integrase gene. Site-specific integration of subgroup II HTVC010P-type pelagiphage was either verified experimentally or identified byin silicogenomic sequence analyses, which revealed that various SAR11 tRNA genes can serve as the integration sites of HTVC010P-type pelagiphages. Moreover, HTVC010P-type pelagiphage integration was confirmed by the detection of several Global Ocean Survey (GOS) fragments that contain hybrid phage–host integration sites. Metagenomic recruitment analysis revealed that these HTVC010P-type phages were globally distributed and most lytic subgroup I members exhibited higher relative abundance. Altogether, this study significantly expands our knowledge about the genetic diversity, life strategies and ecology of HTVC010P-type pelagiphages.

The sea buckthorn (Hippophae rhamnoides L.) berries are rich in various bioactive components and widely used as fruit and traditional medicine. In this study, a novel heteropolysaccharide fraction (SP0.1-1) was isolated from Sea buckthorn berries. SP0.1-1 is composed of mannose, glucose, galactose, and arabinose in the molar ratio of 1:2.3:1.9:11.2 with a core structure containing 1,4-linked-α- d -Glcp, 1,4,6-linked-α- d -Glcp and 1,4-linked-α- d -Manp residues as the backbone. And the side-chains comprised of 1,3,5-linked-α- l -Araf, 1,5-linked-α- l -Araf, terminal α-Araf and 1,4-linked-β- d -Galp. Furthermore, a diet supplemented with SP0.1-1 extended the mean lifespan, enhanced antioxidant enzyme (superoxide dismutase, SOD; glutathione peroxidase, GSH-Px; and catalase, CAT) activities, and decreased the malondialdehyde (MDA) level and hydrogen peroxide (H2O2)-induced mortality rate in fruit flies (Drosophila melanogaster). To summarize, the study's findings will provide evidence for the development of sea buckthorn polysaccharide products.

TiO2/WPU/PVA nanofibers were prepared by electrospinning with modified nano-TiO2, waterborne polyurethane (WPU) and polyvinyl alcohol (PVA) as main materials that were blended mechanically. The nan...

Background: Exploring the composition and evolution regularity of genome sequences and constructing phylogenetic relationship by alignment-free method in genome level are high-profile topics. Our previous researches discovered the CG and TA independent selection laws existed in genome sequences by analysis on the spectral features of 8-mer subsets of 920 eukaryote and prokaryote genomes. We found that the evolution state of genomes is determined by the intensity of the two independent selections and the degree of the mutual inhibition between them. Results: In this study, the two independent selection patterns of 22 primate and 28 insect genome sequences were analyzed further. The two complete 8-mer motif sets containing CG or TA dinucleotide and their feature of relative frequency are proposed. We found that the two 8-mer sets and their feature are related directly to sequence evolution of genomes. According to the relative frequency of two 8-mer sets, phylogenetic trees were constructed respectively for the given primate and insect genomes. Through analysis and comparison, we found that our phylogenetic trees are more consistent with the known conclusions. Conclusions: The two kinds of phylogenetic relationships constructed by CG 8-mer set and TA 8-mer set are similar in insect genomes, but the phylogenetic relationship constructed by CG 8-mer set reflect the evolution state of genomes in current age and phylogenetic relationship constructed by TA 8-mer set reflect the evolution state of genomes in a slight earlier period. We thought it is the result that the TA independent selection is repressed by the CG independent selection in the process of genome evolution. Our study provides a theoretical approach to construct more objective evolution relationships in genome level.

Visibility is an indicator of atmospheric transparency, and it is widely used in many research fields, including air pollution, climate change, ground transportation, and aviation. Although efforts have been made to improve the performance of visibility meters, a significant error exists in measured visibility data. This study conducts a well-designed simulation calibration of visibility meters, which proves that current methods of visibility measurement include a false assumption, leading to the long-term neglect of an important source of visibility error caused by erroneous values of Ångström exponents. This error has two characteristics, namely (1) independence, which means that the magnitude of the error is independent of the performance of the visibility meter. It is impossible to reduce this error by improving the performance of visibility meters. The second characteristic is (2) uncertainty, which means the magnitude of the error does not show a clear change pattern but can be substantially larger than the measurement error of visibility meters. It is impossible to accurately estimate the magnitude of this error or its influence on visibility measurements. Our simulations indicate that, as errors in visibility caused by erroneous values of Ångström exponents are inevitable using current methods of visibility measurement, reliable visibility data cannot be obtained without major adjustments to current measurement methods.

Bacteriophages have a significant impact on the structure and function of marine microbial communities. Phages of some major bacterial lineages have recently been shown to dominate the marine viral communities. However, phages that infect many important bacterial clades still remained unexplored. Members of the marine OM43 clade are methylotrophs that play important roles in C1 metabolism. OM43 phages (phages that infect the OM43 bacteria) represent an understudied viral group with only one known isolate. In this study, we describe the genomic characterization and biogeography of an OM43 phage that infects the strain HTCC2181, designated MEP301. MEP301 has a genome size of 34,774 bp. We found that MEP301 is genetically distinct from other known phage isolates and only displays significant sequence similarity with some metagenomic viral genomes (MVGs). A total of 12 MEP301-type MVGs were identified from metagenomic datasets. Comparative genomic and phylogenetic analyses revealed that MEP301-type phages can be separated into two subgroups (subgroup I and subgroup II). We also performed a metagenomic recruitment analysis to determine the relative abundance of reads mapped to these MEP301-type phages, which suggested that subgroup I MEP301-type phages are present predominantly in the cold upper waters with lower salinity. Notably, subgroup II phages have an inverse different distribution pattern, implying that they may infect hosts from a distinct OM43 subcluster. Our study has expanded the knowledge about the genomic diversity of marine OM43 phages and identified a new phage group that is widespread in the ocean.

In this paper, we propose a 4D memristor-based chaotic system with super wide range, and explore its application in image encryption. Firstly, by analyzing the dynamical behavior of the memristor-based chaotic system, it is found that the system has a special attractor and that the maximum Lyapunov exponent of the system is increasing gradually in . Further, we apply the wide range and stable chaotic states of the proposed memristive chaotic system to cryptography to present an image encryption algorithm. All the ciphers used in the permutation-diffusion are drawn out by associating the plain image with the chaotic sequences. We treat the color image as a 3D matrix for multiple image morphing operations, so that the pixels of the RGB channels of the color image are highly mixed. Moreover, the Latin-cube based scrambling method is improved to enhance the generalizability of the cryptographic algorithm. The results of various simulation experiments indicated that the algorithm has excellent performance in terms of security.