The risk of drug overdose death among adults with select types of disabilities in the United States - A longitudinal study using nationally representative data.

BACKGROUND: Disability is associated with increased risk of drug overdose mortality, but previous studies use coarse and inconsistent methods to identify adults with disabilities. This investigation makes use of the U.S. Department of Health and Human Services disability questions to estimate the risk of drug overdose death among U.S. adults using seven established disability categories. METHODS: The longitudinal Mortality Disparities in American Communities study was used to determine disability status among a nationally representative sample of adults age ≥18 in 2008 (n = 3,324,000). Through linkage to the National Death Index, drug overdose deaths were identified through 2019. Adults in mutually-exclusive disability categories (hearing, vision, cognitive, mobility, complex activity, ≥2 limitations) were compared to adults with no reported disabilities using adjusted hazard ratios (aHRs) and controlling for demographic and socioeconomic covariates. RESULTS: The risk of drug overdose death varied considerably by disability type, as adults in some disability categories displayed only marginally significant risk, while adults in other disability categories displayed substantially elevated risk. Compared to non-disabled adults, the risk of drug overdose death was highest among adults with ≥2 limitations (aHR = 3.0, 95% CI = 2.8-3.3), cognitive limitation (aHR = 2.6, 95% CI = 2.3-2.9), mobility limitation (aHR = 2.6, 95% CI = 2.3-2.9), complex activity limitation (aHR = 2.3, 95% CI = 1.8-2.9), hearing limitation (aHR = 1.6, 95% CI = 1.3-1.9), and vision limitation (aHR = 1.3, 95% CI = 1.0-1.7). CONCLUSIONS: The examination of specific disability categories revealed unique associations that were not apparent in previous research. These findings can be used to focus overdose prevention efforts on the populations at greatest risk for drug-related mortality.

Black Sexual Minority Men's Experiences in MPowerment Interventions: Implications for HIV Prevention.

BACKGROUND: Black sexual minority men (BSMM) are disproportionately vulnerable to HIV acquisition; the MPowerment model is one community-based framework for preventing HIV in this population. It focuses on developing a supportive network of peers to promote health messaging, reduce stigma, and improve resilience. While these interventions have demonstrated general success, there are important challenges related to race, sexuality, and internalized stigma. Our study aimed to explore these experiences among BSMM in MPowerment models focused on HIV prevention. METHOD: We conducted 24 qualitative interviews of BSMM attending HIV prevention-related MPowerment events in the greater D.C. Metropolitan area. In-depth interviews were conducted via phone, and interviews were analyzed using thematic analysis. RESULTS: We identified four themes from the transcript analysis process: Black queer intersectional social support and community, HIV-related information and destigmatization, social status, and sexuality. Within each of these themes, we identified relationships with overall HIV prevention messaging, including barriers to PrEP use. Barriers related to social status were especially prevalent and described as unique to the D.C. metropolitan area. CONCLUSION: Overall, MPowerment event spaces provide a forum for BSMM to feel safe and supported while gaining important HIV-related knowledge and prevention access. Challenges related to social status and destigmatization of sexuality are important considerations in designing and implementing this model, especially related to PrEP promotion.

Self-Reported Disability Type and Risk of Alcohol-Induced Death - A Longitudinal Study Using Nationally Representative Data.

BACKGROUND: Disability is associated with alcohol misuse and drug overdose death, however, its association with alcohol-induced death remains understudied. OBJECTIVE: To quantify the risk of alcohol-induced death among adults with different types of disabilities in a nationally representative longitudinal sample of US adults. METHODS: Persons with disabilities were identified among participants ages 18 or older in the Mortality Disparities in American Communities (MDAC) study (n = 3,324,000). Baseline data were collected in 2008 and mortality outcomes were ascertained through 2019 using the National Death Index. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated for the association between disability type and alcohol-induced death, controlling for demographic and socioeconomic covariates. RESULTS: During a maximum of 12 years of follow-up, 4000 alcohol-induced deaths occurred in the study population. In descending order, the following disability types displayed the greatest risk of alcohol-induced death (compared to adults without disability): complex activity limitation (aHR = 1.7; 95% CI = 1.3-2.3), vision limitation (aHR = 1.6; 95% CI = 1.2-2.0), mobility limitation (aHR = 1.4; 95% CI = 1.3-1.7), ≥2 limitations (aHR = 1.4; 95% CI = 1.3-1.6), cognitive limitation (aHR = 1.2; 95% CI = 1.0-1.4), and hearing limitation (aHR = 1.0; 95% CI = 0.9-1.3). CONCLUSIONS: The risk of alcohol-induced death varies considerably by disability type. Efforts to prevent alcohol-induced deaths should be tailored to meet the needs of the highest-risk groups, including adults with complex activity (i.e., activities of daily living - "ALDs"), vision, mobility, and ≥2 limitations. Early diagnosis and treatment of alcohol use disorder within these populations, and improved access to educational and occupational opportunities, should be considered as prevention strategies for alcohol-induced deaths.

Improved SSA-Based GRU Neural Network for BDS-3 Satellite Clock Bias Forecasting.

Satellite clock error is a key factor affecting the positioning accuracy of a global navigation satellite system (GNSS). In this paper, we use a gated recurrent unit (GRU) neural network to construct a satellite clock bias forecasting model for the BDS-3 navigation system. In order to further improve the prediction accuracy and stability of the GRU, this paper proposes a satellite clock bias forecasting model, termed ITSSA-GRU, which combines the improved sparrow search algorithm (SSA) and the GRU, avoiding the problems of GRU's sensitivity to hyperparameters and its tendency to fall into local optimal solutions. The model improves the initialization population phase of the SSA by introducing iterative chaotic mapping and adopts an iterative update strategy based on t-step optimization to enhance the optimization ability of the SSA. Five models, namely, ITSSA-GRU, SSA-GRU, GRU, LSTM, and GM(1,1), are used to forecast the satellite clock bias data in three different types of orbits of the BDS-3 system: MEO, IGSO, and GEO. The experimental results show that, as compared with the other four models, the ITSSA-GRU model has a stronger generalization ability and forecasting effect in the clock bias forecasting of all three types of satellites. Therefore, the ITSSA-GRU model can provide a new means of improving the accuracy of navigation satellite clock bias forecasting to meet the needs of high-precision positioning.

Dual-Active-Sites Single-Atom Catalysts for Advanced Applications.

Dual-Active-Sites Single-Atom catalysts (DASs SACs) are not only the improvement of SACs but also the expansion of dual-atom catalysts. The DASs SACs contains dual active sites, one of which is a single atomic active site, and the other active site can be a single atom or other type of active site, endowing DASs SACs with excellent catalytic performance and a wide range of applications. The DASs SACs are categorized into seven types, including the neighboring mono metallic DASs SACs, bonded DASs SACs, non-bonded DASs SACs, bridged DASs SACs, asymmetric DASs SACs, metal and nonmetal combined DASs SACs and space separated DASs SACs. Based on the above classification, the general methods for the preparation of DASs SACs are comprehensively described, especially their structural characteristics are discussed in detail. Meanwhile, the in-depth assessments of DASs SACs for variety applications including electrocatalysis, thermocatalysis and photocatalysis are provided, as well as their unique catalytic mechanism are addressed. Moreover, the prospects and challenges for DASs SACs and related applications are highlighted. The authors believe the great expectations for DASs SACs, and this review will provide novel conceptual and methodological perspectives and exciting opportunities for further development and application of DASs SACs.

Laser damage properties of LiB3O5 crystal surface under UV laser irradiation.

LiB3O5 (LBO) crystal has a very high bulk laser damage threshold. Laser damage often occurs on the surfaces with a large number of processing defects during application. In this paper, the surface laser damage threshold, damage growth threshold, and damage growth curve of LBO crystal and fused silica under the same processing process have been comparatively studied by using a 355 nm pulsed laser. The surface laser damage performance of LBO crystal has been comprehensive evaluated. The results show that the laser damage threshold and damage growth threshold of LBO are about twice that of fused silica, and the damage growth coefficient is about 0.7 times that of fused silica. The detection and analysis of impurity defects and photothermal weak absorption defects show that the subsurface defects of LBO crystal are less than that of fused silica. Laser damage morphologies show that the damage process is related to strongly bonded chemical structure and anisotropic physical characteristics of LBO crystal. These characteristics together determine the high threshold damage performance of LBO crystal. The results of this study are of great guidance for the application of LBO crystal in high-power laser systems.

MiR-29b detection in serum using an electrochemical biosensor for the early diagnosis of gestational diabetes.

Gestational diabetes mellitus (GDM) is a severe perinatal condition with serious consequences for the growth and development of the mother and baby. MicroRNA-29b (miR-29b) is essential to the pathogenesis of GDM and can be used as a molecular biomarker for diagnosis. Given the limitations of current GDM screening technologies, there is a pressing need for a sensitive detection approach to evaluate serum miR-29b in GDM patients, thus aiding in disease treatment. In this study, an electrochemical biosensor Co7Fe3-CN nanoparticles (NPs) was developed. Using a duplex-specific nuclease (DSN) signal amplification strategy with a linear range of 1-104 pM and a low detection limit of 0.79 pM, the ultra-sensitive detection and quantification of miR-29b were accomplished. The dependability and applicability of the developed biosensor were validated by the standard method of qRT-PCR, and the content of serum miR-29b in GDM patients was shown to be significantly lower than that in the control group (P = 0.03). Specifically, miR-29b concentrations could be detected from 2.0 to 7.5 and 2.4 to 7.3 pM using qRT-PCR and the biosensor, respectively. These similar results indicated that a biosensor based on miR-29b detection has the potential to be used in the point-of-care testing of GDM patients in clinical practice.

A portable molecularly imprinted polymer-modified microchip sensor for the rapid detection of perfluorooctanoic acid.

High-performance electrochemical sensors have attracted intensive interest in real-time environmental safety monitoring, the Internet of Things, and telemedicine applications. A key limitation to field measurement of pollutant distribution is the lack of a highly sensitive and selective monitoring platform, thus severely hindering the decentralized monitoring of pollutant exposure risk. Hence, a sensor was developed in this study by using a molecularly imprinted polymer (MIP). Specifically, Cu2O@C@NiCo2O4, with a large surface area and high conductivity, was coated onto the Au electrode surface and further modified by the anodic electro-polymerization of o-phenylenediamine (o-PD) using perfluorooctanoic acid (PFOA) as the template, followed by template removal for activation, thus obtaining the Au/Cu2O@C@NiCo2O4/MIP electrode. Particularly, an effective monitoring platform derived from this sensor was designed to achieve cost-effective pollution detection. Au/Cu2O@C@NiCo2O4/MIP was employed in a disposable microchip sensor for the sensitive detection of PFOA, exhibiting an ultra-low limit of detection (LOD) of 19.46 ng L-1 in a linear range of 207-4140 ng L-1 along with satisfactory sensitivity, selectivity, and reproducibility, which reveal its great potential in the low-cost and efficient field detection of PFOA in coastal seawater. These promising results indicate a bright future for such microchip-sensor-supported PFOA tele-sensing platforms in aiding environmental safety and blue earth protection. We will persist in refining this method to enhance the sensitivity of the sensor for PFOA detection in polluted coastal areas.

Assessment of an instrument scale measuring the knowledge of antiretroviral therapy among people living with HIV.

BACKGROUND: Antiretroviral therapy (ART) is currently the most effective way to treat people living with human immunodeficiency virus (PLHs) and reduce HIV transmission. While there are many factors that reduce adherence to ART, PLHs' knowledge about ART may determine the level of adherence. It is necessary to design and assess an instrument scale that measures the knowledge of antiretroviral therapy among PLHs. METHOD: A cross-sectional study was conducted among PLHs in Honghe Hani and Yi Autonomous Prefecture, China. Both exploratory and confirmatory factor analyses were used to examine the latent factors of antiretroviral therapy knowledge scale. Internal consistency was assessed separately for the scale and its dimensions by estimating Cronbach's alphas, split-half reliability and Spearman's correlation coefficient. ANOVAs were used to compare the scores of different dimensions with sociodemographic characteristics. RESULTS: Four factors were extracted according to factor loadings. They had high internal consistency reliability (Cronbach's alpha: 0.70-0.95) and good construct validity (standardized factor loading range: 0.46-0.86) in the scale. Goodness of fit indices indicated that a four-factor solution fit the data at an accepted level (χ2/degree ratio = 1.980, RMSEA = 0.069, GFI = 0.909, CFI = 0.957, NFI = 0.917, TLI = 0.944). ANOVAs indicated that the score was higher among PLHs who were Han, had spouses/partners, were non-famers or migrant workers, initiated ART, and had a high school or above education. CONCLUSION: The psychometric assessment indicated that this ART knowledge scale had accepted internal consistency and discriminant construct validity. It can be used to assess the knowledge of antiretroviral therapy for PLHs.

Toward Achieving Rapid Estimation of Vitamin C in Citrus Peels by NIR Spectra Coupled with a Linear Algorithm.

Citrus peels are rich in bioactive compounds such as vitamin C and extraction of vitamin C is a good strategy for citrus peel recycling. It is essential to evaluate the levels of vitamin C in citrus peels before reuse. In this study, a near-infrared (NIR)-based method was proposed to quantify the vitamin C content of citrus peels in a rapid way. The spectra of 249 citrus peels in the 912-1667 nm range were acquired, preprocessed, and then related to measured vitamin C values using the linear partial least squares (PLS) algorithm, indicating that normalization correction (NC) was more suitable for spectral preprocessing and NC-PLS model built with full NC spectra (375 wavelengths) showed a better performance in predicting vitamin C. To accelerate the predictive process, wavelength selection was conducted, and 15 optimal wavelengths were finally selected from NC spectra using the stepwise regression (SR) method, to predict vitamin C using the multiple linear regression (MLR) algorithm. The results showed that SR-NC-MLR model had the best predictive ability with correlation coefficients (rP) of 0.949 and root mean square error (RMSEP) of 14.814 mg/100 mg in prediction set, comparable to the NC-PLS model in predicting vitamin C. External validation was implemented using 40 independent citrus peels samples to validate the suitability of the SR-NC-MLR model, obtaining a good correlation (R2 = 0.9558) between predicted and measured vitamin C contents. In conclusion, it was reasonable and feasible to achieve the rapid estimation of vitamin C in citrus peels using NIR spectra coupled with MLR algorithm.

Dimensional and Optoelectronic Tuning of Lead-free Perovskite Cs3 Bi2 I9-n Brn Single Crystals for Enhanced Hard X-ray Detection.

Inorganic Bi-based perovskites have shown great potential in X-ray detection for their large absorption to X-rays, diverse low-dimensional structures, and eco-friendliness without toxic metals. However, they suffer from poor carrier transport properties compared to Pb-based perovskites. Here, we propose a mixed-halogen strategy to tune the structural dimensions and optoelectronic properties of Cs3 Bi2 I9-n Brn (0≤n≤9). Ten centimeter-sized single crystals are successfully grown by the Bridgman technique. Upon doping bromine to zero-dimensional Cs3 Bi2 I9 , the crystal transforms into a two-dimensional structure as the bromine content reaches Cs3 Bi2 I8 Br. Correspondingly, the optoelectronic properties are adjusted. Among these crystals, Cs3 Bi2 I8 Br exhibits negligible ion migration, moderate resistivity, and the best carrier transport capability. The sensitivities in 100 keV hard X-ray detection are 1.33×104 and 1.74×104  µC Gyair -1 cm-2 at room temperature and 75 °C, respectively, which are the highest among all reported bismuth perovskites. Moreover, the lowest detection limit of 28.6 nGyair s-1 and ultralow dark current drift of 9.12×10-9  nA cm-1 s-1 V-1 are obtained owing to the high ionic activation energy. Our work demonstrates that Br incorporation is an effective strategy to enhance the X-ray detection performance by tuning the dimensional and optoelectronic properties.

Design of a Self-Powered System by Wind-Driven Triboelectric Nanogenerator Based on 0.94(Bi0.5 Na0.5 )TiO3 -0.06Ba(Zr0.25 Ti0.75 )O3 /Polyvinylidene Fluoride (BNT-BZT/PVDF) Composites.

The portable power bank as an energy storage device has received tremendous attention while the limited capacity and periodical charging are critical issues. Here, a self-charging power system (SCPS) consisting of a 0.94(Bi0.5 Na0.5 )TiO3 -0.06Ba(Zr0.25 Ti0.75 )O3 /polyvinylidenefluoride (BNT-BZT/PVDF) composite film-based triboelectric nanogenerator (TENG) is designed as a wind energy harvester and an all-solid-state lithium-ion battery (ASSLIB) as the energy storage device. The optimized TENG can provide an output voltage of ≈400 V, a current of ≈45 µA, and a maximum power of ≈10.65 mW, respectively. The ASSLIB assembled by LiNiCoMnO2 as the cathode, NiCo2 S4 as the anode, and Li7 La3 Zr2 O12 as the solid electrolyte can maintain a discharge capacity of 51.3 µAh after 200 cycles with a Coulombic efficiency of 98.5%. Particularly, an ASSLIB can be easily charged up to 3.8 V in 58 min using the wind-driven TENG, which can continuously drive 12 parallel-connected white light-emitting diodes (LEDs) or a pH meter. This work demonstrates the development of low-cost, high-performance and high-safety SCPSs and their large-scale practical application in self-powered microelectronic devices.

Assessment of two-pool multiplex long-amplicon nanopore sequencing of SARS-CoV-2.

Genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays an important role in COVID-19 pandemic control and elimination efforts, especially by elucidating its global transmission network and illustrating its viral evolution. The deployment of multiplex PCR assays that target SARS-CoV-2 followed by either massively parallel or nanopore sequencing is a widely-used strategy to obtain genome sequences from primary samples. However, multiplex PCR-based sequencing carries an inherent bias of sequencing depth among different amplicons, which may cause uneven coverage. Here we developed a two-pool, long-amplicon 36-plex PCR primer panel with ~1000-bp amplicon lengths for full-genome sequencing of SARS-CoV-2. We validated the panel by assessing nasopharyngeal swab samples with a <30 quantitative reverse transcription PCR cycle threshold value and found that ≥90% of viral genomes could be covered with high sequencing depths (≥20% mean depth). In comparison, the widely-used ARTIC panel yielded 79%-88% high-depth genome regions. We estimated that ~5 Mbp nanopore sequencing data may ensure a >95% viral genome coverage with a ≥10-fold depth and may generate reliable genomes at consensus sequence levels. Nanopore sequencing yielded false-positive variations with frequencies of supporting reads <0.8, and the sequencing errors mostly occurred on the 5' or 3' ends of reads. Thus, nanopore sequencing could not elucidate intra-host viral diversity.

Simple method for generating special beams using polarization holography.

Vector vortex beams are a kind of special beam that simultaneously carry spin and orbital angular momentum. The generation of vector vortex beams usually requires a complex and expensive optical system, which becomes a bottleneck hindering its further application. Thus, a compact, low-cost and efficient special beam generation system is demanded. In this paper, a method that can produce vector vortex beams distributed anywhere in the equator of hybrid-order Poincaré Spheres based on polarization holography is proposed. Via changing some parameters of the device, this method can also produce the scalar vortex beams distributed at any position of the basic Poincaré Sphere and the vector beams distributed at the equator of the higher-order Poincaré Spheres. The work shows that polarization holography has the potential ability to regulate the spin and orbital angular momentum simultaneously, opening a new window for future research and applications of angular momentum space orientation.

Stigma in a Collectivistic Culture: Social Network of Female Sex Workers in China.

In this egocentric network study, we explored Chinese collectivism in relation to social network characteristics and sex work-related stigma among mid-age female sex workers (FSWs). Respondent-driven sampling was used to recruit 1245 mid-age FSWs from three cities in China. We found that a one standard deviation (SD) increase in FSWs' collectivism was associated with a 0.18 SD decrease in social support (95% CI - 0.32, - 0.04), a 0.20 SD decrease in network effective size (i.e., the diversity of a social network; 95% CI - 0.30, - 0.10), and a 0.21 SD decrease in network betweenness (i.e., the "bridging potential" of egos within their networks; 95% CI - 0.33, - 0.09). Among participants who perceived more sex work stigma, the association between collectivism and FSWs' network betweenness was attenuated. In a collective culture emphasizing group values and honor, belonging to a less interconnected social network may give FSWs a structural advantage to cope with stigma and secure social support.

Secukinumab for PASS syndrome: A new choice for therapeutic challenge?

PASS syndrome is a rare inflammatory disease characterized by a chronic-relapsing course of pyoderma gangrenosum, acne vulgaris, hidradenitis suppurativa, and spondyloarthritis, which is lack of any biological or genetic marker. Moreover, the optimal therapeutic management remains unclear. We herein describe a Yi Chinese man with PASS syndrome who was treated with secukinumab and showed a remarkable response with almost complete clinical improvement at the 2-year follow-up.

Genomic Elucidation of a COVID-19 Resurgence and Local Transmission of SARS-CoV-2 in Guangzhou, China.

While China experienced a peak and decline in coronavirus disease 2019 (COVID-19) cases at the start of 2020, regional outbreaks continuously emerged in subsequent months. Resurgences of COVID-19 have also been observed in many other countries. In Guangzhou, China, a small outbreak, involving less than 100 residents, emerged in March and April 2020, and comprehensive and near-real-time genomic surveillance of SARS-CoV-2 was conducted. When the numbers of confirmed cases among overseas travelers increased, public health measures were enhanced by shifting from self-quarantine to central quarantine and SARS-CoV-2 testing for all overseas travelers. In an analysis of 109 imported cases, we found diverse viral variants distributed in the global viral phylogeny, which were frequently shared within households but not among passengers on the same flight. In contrast to the viral diversity of imported cases, local transmission was predominately attributed to two specific variants imported from Africa, including local cases that reported no direct or indirect contact with imported cases. The introduction events of the virus were identified or deduced before the enhanced measures were taken. These results show the interventions were effective in containing the spread of SARS-CoV-2, and they rule out the possibility of cryptic transmission of viral variants from the first wave in January and February 2020. Our study provides evidence and emphasizes the importance of controls for overseas travelers in the context of the pandemic and exemplifies how viral genomic data can facilitate COVID-19 surveillance and inform public health mitigation strategies.

Individual and partnership characteristics associated with consistent condom use in a cohort of cisgender men who have sex with men and transgender women in Nigeria.

BACKGROUND: This study reports on the individual and partnership characteristics that influence consistent condom use in cisgender men who have sex with men (MSM) and transgender women (TGW) attending trusted community centers that provide HIV prevention and treatment services in Nigeria. METHODS: Adults assigned male at birth who reported anal sex with male partners who enrolled between March 2013-2019 and had information about at least one male sexual partner were included in these analyses. At enrollment and follow-up visits every 3 months for up to 18 months, participants were administered detailed questionnaires that collected information about demographics, sexual practices, HIV risk behaviors, and characteristics and behaviors of their partners in the previous year (at enrollment) or the preceding 3 to 6-months (at follow-up visits). Logistic regression models with generalized estimating equations were used to assess the odds ratio (OR) and 95% confidence intervals (CI) of individual, partner, and partnership characteristics associated with consistent condom use (CCU). A participant was defined as consistently using condom if they reported always using condoms all the time they had insertive, receptive or both types of anal sex with a male partner. RESULTS: At the individual level, CCU was positively associated with higher education, disclosure of key population status to a healthcare worker and negatively associated with poor access to condoms. At the partner and partnership level, CCU was associated with partners with higher education (aOR: 1.36; 95% CI: 1.07-1.72), casual relationships (aOR: 1.22; 95% CI: 1.11-1.34) and relationships in which partners encouraged the participant to use condoms with other partners (aOR: 1.14; 95% CI: 1.02-1.28). Relationships in which the partner was married to a woman and/or the partner's HIV status positive or unknown were negatively associated with CCU. CONCLUSIONS: These findings suggest that individuals in relationships where partners were more open and encouraged safer sex were more likely to consistently use condoms. HIV prevention programs should consider leveraging communication to sexual partners to encourage condom use as this may support condom use with other sexual partners. Given sustained and growing HIV and STI epidemics among MSM and TGW, even with pre-exposure prophylaxis scale-up, it is crucial to continue to study optimal implementation strategies to increase condom use.

Optimizing the soil conservation service curve number model by accounting for rainfall characteristics: a case study of surface water sources in Beijing.

The upper catchment of the Miyun reservoir is an important drinking water source in Beijing. In recent years, researchers have used the soil conservation service curve number (SCS-CN) model to calculate surface runoff for the district. Although the runoff forecasting accuracy was unsatisfactory, the lack of understanding of rainfall processes and their influence on runoff may explain the observed deviations. Our study sought to optimize and assess the SCS-CN model simulation accuracy for the district by proposing an SCS-CN calculation method for each runoff event (CNt) based on observation data for 253 rainfall and runoff events from 7 plots in the Miyun Shixia watershed. This study elucidated a significant positive correlation between the ratio of CNt and the average SCS-CN (CN1), as well as the ratio of the maximum X-minute rainfall amount (PX) to the total rainfall amount for each rainfall event (P). Furthermore, a calculation method involving power function equations between CNt/CN1 and PX/P was proposed for CNt. When X = 5 min and the initial abstraction ratio (λ) = 0.01, the simulation performance of the optimized model was the highest, with a Nash-Sutcliffe efficiency coefficient of 0.791, which was significantly higher than that of the non-optimized SCS-CN model. The simulation performance for bare and cultivated land was higher than that of other land uses, with Ef values of 0.831 and 0.828, respectively. Future research should focus on improving the prediction accuracy of runoff events resulting from high-intensity and short-duration rainfall events.

A multicenter retrospective study on survival rate and complications of very preterm infants. / æžæ—©äº§å„¿å­˜æ´»çŽ‡å’Œå¹¶å‘ç—‡çš„å¤šä¸­å¿ƒå›žé¡¾æ€§ç ”ç©¶.

OBJECTIVES: To study the survival rate and the incidence of complications of very preterm infants and the factors influencing the survival rate and the incidence of complications. METHODS: The medical data of the very preterm infants with a gestational age of <32 weeks and who were admitted to the Department of Neonatology in 11 hospitals of Jiangsu Province in China from January 2018 to December 2019 were retrospectively reviewed. Their survival rate and the incidence of serious complications were analyzed. A multivariate logistic regression analysis was used to evaluate the risk factors for death and serious complications in very preterm infants. RESULTS: A total of 2 339 very preterm infants were enrolled, among whom 2 010 (85.93%) survived and 1 507 (64.43%) survived without serious complications. The groups with a gestational age of 22-25+6 weeks, 26-26+6 weeks, 27-27+6 weeks, 28-28+6 weeks, 29-29+6 weeks, 30-30+6 weeks, and 31-31+6 weeks had a survival rate of 32.5%, 60.6%, 68.0%, 82.9%, 90.1%, 92.3%, and 94.8% respectively. The survival rate tended to increase with the gestational age (P<0.05) and the survival rate without serious complications in each gestational age group was 7.5%, 18.1%, 34.5%, 52.2%, 66.7%, 75.7%, and 81.8% respectively, suggesting that the survival rate without serious complications increased with the gestational age (P<0.05). The multivariate logistic regression analysis showed that high gestational age, high birth weight, and prenatal use of glucocorticoids were protective factors against death in very preterm infants (P<0.05), and 1-minute Apgar score ≤3 was a risk factor for death in very preterm infants (P<0.05); high gestational age and high birth weight were protective factors against serious complications in very preterm infants who survived (P<0.05), while 5-minute Apgar score ≤3 and maternal chorioamnionitis were risk factors for serious complications in very preterm infants who survived (P<0.05). CONCLUSIONS: The survival rate is closely associated with gestational age in very preterm infants. A low 1-minute Apgar score (≤3) may increase the risk of death in very preterm infants, while high gestational age, high birth weight, and prenatal use of glucocorticoids are associated with the reduced risk of death. A low 5-minute Apgar score (≤3) and maternal chorioamnionitis may increase the risk of serious complications in these infants, while high gestational age and high birth weight may reduce the risk of serious complications.