A Sustainable and Cost-Effective Nitrogen-Doped Three-Dimensional Porous Carbon for High-Performance Lithium-Sulfur Batteries.

Affordable clean energy is one of the major sustainable development goals that can transform our world. At present, researchers are working to develop cheap electrode materials to develop energy storage devices, the Lithium-sulfur (Li-S) battery is considered a promising energy storage device owing to its excellent theoretical specific capacity and energy density. Herein, utilizing the ramie degumming waste liquid as raw materials, after freeze-drying and high-temperature calcination, a sustainable and cost-effective three-dimensional (3D) porous nitrogen-doped ramie carbon (N-RC) was synthesized. The N-RC calcined at 800 °C (N-RC-800) shows a superior high specific surface area of 1491.85 m2 ⋅ g-1 and a notable high pore volume of 0.90 cm3 ⋅ g-1. When employed as a sulfur host, the S@N-RC-800 cathode illustrates excellent initial discharge capacity (1120.6 mAh ⋅ g-1) and maintains a reversible capacity of 625.4 mAh ⋅ g-1 after 500 cycles at 1 C. Simultaneously, the S@N-RC-800 cathode also shows excellent coulombic efficiency and ideal rate performance. Such exceptional electrochemical performance of S@N-RC-800 can be primarily attributable to N-RC's high specific surface area, high porosity, and abundant polar functional groups. This green and low-cost synthesis strategy offers a new avenue for harnessing the potential of waste biomass in the context of clean energy storage.

Exploring the economic toxicity experiences and coping styles of patients with colorectal cancer fistula in Jiangsu province, China: a qualitative study.

OBJECTIVES: In recent years, economic toxicity has significantly affected the physical and mental health as well as the quality of life of patients with colorectal cancer. However, this issue has not garnered adequate attention from healthcare professionals. This study aims to investigate the experiences of economic toxicity and coping strategies among patients with colorectal cancer fistula. The findings are intended to inform the development of suitable and effective intervention programmes to address economic toxicity within this patient population. DESIGN: A descriptive phenomenological approach was employed in this qualitative research, using a semistructured method for data collection and analysis of interview data. Traditional content analysis methods were applied, encompassing coding, categorisation and theme distillation. Data analysis continued until thematic saturation was achieved, with no new themes emerging. SETTING: Nanjing Medical University Lianyungang Clinical Medical College. PARTICIPANTS: A total of 21 patients with colorectal cancer fistula were selected as interview subjects through purposive sampling. The selection took place from May 2022 to May 2023, involving patients during their stay at a tertiary hospital in Lianyungang city, Jiangsu province, China. RESULTS: In total, three pieces and eight subthemes were distilled: subjective feelings (worries about treatment costs, concerns about uncertainty about the future, worries about daily life), coping styles (coping alone, unwillingness to help, prepurchased insurance, dealing with illness, giving up treatment, inability to afford costs) and needs and aspirations (need for health policies, need for social support). CONCLUSIONS: Patients with colorectal cancer fistulae experience economic toxicity, leading to significant impairment in both physical and mental health. Despite employing various coping strategies, healthcare professionals must prioritise addressing the economic toxicity issue in patients. Implementing rational and effective interventions can greatly assist patients in effectively managing economic toxicity.

Integral sliding mode control and stability for Markov jump systems with structured perturbations and time-varying delay driven by fractional Brownian motion.

The issues of stability and sliding mode control (SMC) for time-varying delay Markov jump systems (MJSs) with structured perturbations constrained by fractional Brownian motion (fBm) are explored. First, constructing a novel Lyapunov-Krasovskii functional (LKF) with exponential terms that contain the double-integral term, the pth moment exponential stability conditions are derived by utilizing the generalized fractional Itoˆ formula and conditional mathematical expectation. Subsequently, by designing the innovative integral sliding mode surface (SMS) associated with time-varying delay and the SMC law, the state trajectories of the dynamic systems can reach the designed SMS within a finite time. Ultimately, the numerical experiment is executed to confirm and ensure the accuracy and reliability of the obtained results.

Sliding Mode Control for Markov Jump Singularly Perturbed Systems Under Piecewise Homogeneous Stochastic Communication Protocol.

This work involves the sliding mode control (SMC) issue for a class of Markov jump singularly perturbed systems (MJSPSs) under consideration of unmatched external disturbances and communication constraints. For the first time, the piecewise homogeneous Markov chain (MC) which depends on the system mode and the controller mode is applied to control the scheduling of stochastic communication protocol (SCP), so that the MCs in the system models, the controller and the SCP constitute a three-layer nonstationary Markov model (NMM). This model perfectly describes the different objects of the three MCs and reflects the mutual regulation among them. The critical issue is to devise an adaptive controller and a sliding surface (SS) simultaneously under SCP scheduling. By applying a standard singular sliding mode surface, an appropriate nonstationary SMC law is established to promise the accessibility of the SS and the stability of the closed-loop system (CLS), and meet the expected performance indicator. Further, using the mode-dependent Lyapunov function and piecewise homogeneous Markov model method, sufficient criteria are obtained. The specific expression of the control gain is obtained by matrix decoupling technology. Finally, a numerical simulation is furnished to testify the correctness of the conclusion.

Big Data-Enabled Analysis of Factors Affecting Medical Expenditure in the Cerebral Infarction of a Developing City in Western China.

Purpose: Cerebral infarction (CI) has been one of the leading causes of death in China since 2017, and controlling the medical expenses of this disease is an urgent issue for the Chinese government. This study aims to explore the important factors that affect the hospitalization expenses of CI patients and to provide a scientific basis for establishing a reasonable reimbursement mechanism and hospitalization expense standard for CI patients. Methods: Data from 109,314 inpatients from the Healthcare Security Administration of Chengdu in western China from January 2016 to December 2018 were utilized. Descriptive statistical analysis was used for variable characteristic analysis. The Mann-Whitney test and Kruskal-Wallis test were used for single-factor analysis, and multiple linear stepwise regression was used for single-factor analysis and multiple-factor analysis. Results: This study found that the average direct economic burden of CI in Chengdu was approximately 10,569 Chinese yuan (CNY), about 1450 US dollars, the average length of stay (LOS) was 14.47 days, the indirect economic burden was approximately 2817 CNY, and the total economic burden was 13,386 CNY for a CI inpatient. Gender, insurance type, grade of medical institution, the level of payment type, age, LOS, and complications and comorbidities (CCs) are the most important factors affecting CI medical costs. Conclusion: Citizens should improve their lifestyle habits to reduce disease risk to avoid the associated medical and economic burdens. Hospitals should improve their medical technology to decrease the LOS and reduce direct medical costs. The government should actively promote the hierarchical diagnosis and treatment policy to reduce the waste of medical resources caused by low-acuity patients going to high-level hospitals for treatment. The National Healthcare Security Administration should optimize the medical insurance payment method and establish a corresponding mechanism to reduce the occurrence of excessive medical treatments such as overuse.

Post-Disaster Restoration and Reconstruction Assessment of the Jiuzhaigou Lake Landscape and a Resilience Development Pathway.

The essence of post-disaster reconstruction is the restoration and rebirth of the affected areas. The earthquake hitting Jiuzhaigou was the first earthquake that had its epicenter in the World Natural Heritage located in China. Ecological restoration and landscape reconstruction are essential for the sustainable development of tourism. This study uses high-resolution remote sensing images to monitor and evaluate the post-disaster restoration and reconstruction process of the leading lakes in Jiuzhaigou. It was found that the lake water quality, vegetation, and road facilities have undergone moderate reconstruction. However, the restoration and reconstruction still faced severe challenges. The ecological environment's stability and balance are prerequisites for the sustainable development of the World Natural Heritage sites. This paper combines the "Build Back Better" concept that advocates risk reduction, scenic spot restoration, and efficient implementation to ensure Jiuzhaigou's restoration and sustainable development. It comes up with specific measures for the resilience development of Jiuzhaigou from the eight principles of overall planning, structural resilience, disaster prevention and mitigation, landscape facilities, social psychology, management mechanisms, policies and regulations, and monitoring and evaluation to provide a reference for the sustainable development of tourism.

Development and quantitative assessment of deep learning-based image enhancement for optical coherence tomography.

PURPOSE: To develop a deep learning-based framework to improve the image quality of optical coherence tomography (OCT) and evaluate its image enhancement effect with the traditional image averaging method from a clinical perspective. METHODS: 359 normal eyes and 456 eyes with various retinal conditions were included. A deep learning framework with high-resolution representation was developed to achieve image quality enhancement for OCT images. The quantitative comparisons, including expert subjective scores from ophthalmologists and three objective metrics of image quality (structural similarity index measure (SSIM), peak signal-to-noise ratio (PSNR) and contrast-to-noise ratio (CNR)), were performed between deep learning method and traditional image averaging. RESULTS: With the increase of frame count from 1 to 20, our deep learning method always obtained higher SSIM and PSNR values than the image averaging method while importing the same number of frames. When we selected 5 frames as inputs, the local objective assessment with CNR illustrated that the deep learning method had more obvious tissue contrast enhancement than averaging method. The subjective scores of image quality were all highest in our deep learning method, both for normal retinal structure and various retinal lesions. All the objective and subjective indicators had significant statistical differences (P < 0.05). CONCLUSION: Compared to traditional image averaging methods, our proposed deep learning enhancement framework can achieve a reasonable trade-off between image quality and scanning times, reducing the number of repeated scans.

Assessment of the impact of hydrolysis on bound sulfonamide residue determination in honey using stable isotope dilution ultrahigh performance liquid chromatography tandem mass spectrometry.

In this study, an analytical method based on isotope dilution-liquid chromatography tandem mass spectrometry (ID-LC-MS/MS) was developed as a candidate reference method for the determination of sulfonamides (SAs) in honey. To guarantee the accuracy and authenticity, the impact of hydrolysis on bound SA residues was first investigated by enabling (i) identification of sugar-bound SAs, (ii) clarifying the binding reaction rule between the SAs and sugar, (iii) detection of free SAs and sugar-bound SAs, and (iv) preparation of SA-contaminated honey. Thus, the efficiency of different hydrolysis conditions was assessed by comparing the bound SA content before and after hydrolysis. In addition, optimization of the sample pretreatment procedures and LC conditions to minimize matrix effects by separation from significant matrix interferences was also performed. Satisfactory results in terms of hydrolysis efficiency (approximately 88.3%-99.2%), extraction efficiency (84.2%-105.3%), recovery (95.9%-103.1%), and limit of quantification (0.6-1.5 µg·kg-1) were obtained.

Socioeconomic driving factors of PM2.5 emission in Jing-Jin-Ji region, China: a generalized Divisia index approach.

Air quality in China is increasingly improving, but the situation facing the atmosphere environment is still dire. Regional atmospheric environmental problems characterized by PM2.5 pollutants are becoming increasingly prominent, especially in the Jing-Jin-Ji (3J) region. This study employs the generalized Divisia index approach to decompose the factors that influence the changes of PM2.5 emission in the 3J region. It is divided into 8 factors: scale effect of regional economy, scale effect of regional energy consumption, scale effect of investment in treatment of environment pollution (ITEP), technology effect of energy efficient utilization, technology effect of clean energy utilization technology, the intensity effect of regional green economic development, the intensity effect of investment in treatment of regional PM2.5 emission, and the intensity effect of regional environmental regulation. To identify the vital driving force of the change of PM2.5 emission, the contribution of each driving factor of PM2.5 emission variation is analyzed. The results show that the factors affecting the change of PM2.5 emission are almost the same, but the contribution of each factor is apparently different in the 3J region. The level of regional economic development and the scale of energy consumption promoted the increase of PM2.5 emission in the region. The growth of PM2.5 emission can be effectively controlled by green economic development intensity, energy clean utilization technology, environmental regulation intensity, and the intensity of investment in treatment of PM2.5 emission. Energy efficiency has a slight effect on the changes of PM2.5 emission. ITEP has a negative effect on the changes of PM2.5 emission. In the future, the 3J region needs to optimize the structure of ITEP further and implement the refinement and precision of pollution treatment. Moreover, it also needs to promote the development of energy clean and efficient use of technological innovation to drive PM2.5 emission reduction.

Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts.

This work focuses on the problem of asynchronous filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts (VPDs). The discrete-time nonhomogeneous Markov process is adopted to depict the modes switching of target plant, where time-varying transition probabilities are revealed by utilizing a polytope technology. By means of the Bernoulli distributed sequence, the randomly occurring packet dropouts are presented, where VPD rates are mode-dependent and remain variable. Unlike the existing results, the hidden Markov model scheme is formulated to describe the asynchronization between nonhomogeneous neural networks and filter, and resilient filters are presented, which makes the designed filters more general. Eventually, a simulation example is established to verify the effectiveness of the developed filter scheme.

Longitudinal assessment of resting-state fMRI in temporal lobe epilepsy: A two-year follow-up study.

In this study, we aimed to detect longitudinal alterations in local spontaneous brain activity and functional connectivity (FC) of the default mode network (DMN) in patients with temporal lobe epilepsy (TLE) over a two-year follow-up. We used amplitude of low-frequency fluctuation (ALFF) analysis and independent component analysis (ICA) to explore differences in local spontaneous brain activity and FC strength. In total, 33 participants (16 patients with TLE and 17 age- and gender-matched healthy controls (HCs)) were recruited in this study. All participants performed the Attention Network Test (ANT) for evaluation of the executive control function. Compared with healthy patients at baseline, patients with TLE at follow-up exhibited increased ALFF values in the left medial frontal gyrus, as well as reduced FC values in the left inferior parietal gyrus (IPG) within the DMN. Patients with TLE revealed executive dysfunction, but no progressive deterioration was observed during follow-up. This study revealed the abnormal distribution of ALFF values and Rs-FC changes over a two-year follow-up period in TLE, both of which demonstrated different reorganization trajectories and loss of efficiency.

A Monte Carlo-based integrated model to optimize the cost and pollution reduction in wastewater treatment processes in a typical comprehensive industrial park in China.

Wastewater generated from an industrial park is usually characterized by large volumes, variation in composition, and high pollutant concentrations, and is generally toxic and difficult to biodegrade. Wastewater treatment at an industrial park includes several stages, namely, pretreatment inside factories (F-WWTPs), centralized wastewater treatment (C-WWTP), and reclaimed wastewater treatment (R-WWTP), during which the treatment efficiencies are mutually restricted. Therefore, water pollution control in industrial parks is extremely challenging. In this study, models, including those for pollutant reduction and operating costs, were established considering the F-WWTPs, C-WWTP, and R-WWTP stages at an industrial park. A Monte Carlo model was used to simulate the treatment and solve the above-mentioned models. Consequently, the characteristic values, including the extent of pollutant reduction, concentration of pollutants in the effluent, and operation costs, were predicted under optimal operating conditions of the wastewater treatment system. The established model was verified and applied to industrial park A in the Tianjin Economic-Technological Development Area in China. Based on the comparison of the above-mentioned optimization values with the sampled values as well as the theoretical analysis, the status of the wastewater treatment system in the industrial park was quantitatively evaluated to diagnose pertinent issues. Additionally, optimization and reformation strategies were proposed. Therefore, the established model can achieve optimization of pollution reduction and operation costs for the entire industrial park, thus contributing to industrial wastewater pollution control and water quality improvement.

The impact and financial burden of pulmonary arterial hypertension on patients and caregivers: results from a national survey.

Pulmonary arterial hypertension (PAH) is a chronic progressive devastating disease. Symptom burden might impair health-related quality of life of patients. Furthermore, treatment on this disease brings significant financial burden to patients' families. Both physiological and psychological symptoms have been reported, but limited evidence regarding the impact of PAH on patients and caregivers exists, especially the emotional issues and their association with patients' health quality. The main purpose of this study was to describe the impact of PAH on patients and their caregivers in a Chinese population.This large-scale national survey enrolled 174 participants to complete questionnaires using face-to-face semistructured interviews.PAH influenced all aspects of patients' lives including daily activities, work, emotions, and personal relationships. Both patients and caregivers reported a major impact on family finances and on their work. The majority of patients had feelings of isolation. A lack of public understanding about PAH contributes to social isolation. Most patients and caregivers would like to get information regarding PAH doctors and patient organization contacts to obtain support.This survey-based report provides information regarding the way and extent to which PAH impacts both patients and their caregivers and provides some means for comparison with non-Chinese populations. It is important for physicians and the community to offer more support and information for PAH patients and their families.

Surveillance and response systems for elimination of tropical diseases: summary of a thematic series in Infectious Diseases of Poverty.

The peer-reviewed journal Infectious Diseases of Poverty provides a new platform to engage with, and disseminate in an open-access format, science outside traditional disciplinary boundaries. The current piece reviews a thematic series on surveillance-response systems for elimination of tropical diseases. Overall, 22 contributions covering a broad array of diseases are featured - i.e. clonorchiasis, dengue, hepatitis, human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS), H7N9 avian influenza, lymphatic filariasis, malaria, Middle East respiratory syndrome (MERS), rabies, schistosomiasis and tuberculosis (TB). There are five scoping reviews, a commentary, a letter to the editor, an opinion piece and an editorial pertaining to the theme "Elimination of tropical disease through surveillance and response". The remaining 13 articles are original contributions mainly covering (i) drug resistance; (ii) innovation and validation in the field of mathematical modelling; (iii) elimination of infectious diseases; and (iv) social media reports on disease outbreak notifications released by national health authorities. Analysis of the authors' affiliations reveals that scientists from the People's Republic of China (P.R. China) are prominently represented. Possible explanations include the fact that the 2012 and 2014 international conferences pertaining to surveillance-response mechanisms were both hosted by the National Institute of Parasitic Diseases (NIPD) in Shanghai, coupled with P.R. China's growing importance with regard to the control of infectious diseases. Within 4 to 22 months of publication, three of the 22 contributions were viewed more than 10 000 times each. With sustained efforts focusing on relevant and strategic information towards control and elimination of infectious diseases, Infectious Diseases of Poverty has become a leading journal in the field of surveillance and response systems in infectious diseases and beyond.

A Comprehensive Assessment of the Effects of Transgenic Cry1Ac/Cry1Ab Rice Huahui 1 on Adult Micraspis discolor (Fabricius) (Coleoptera: Coccinellidae).

Micraspis discolor (Fabricius) (Coleoptera: Coccinellidae) is a widely distributed coleoptera predator in southern Asia in rice ecosystem, and adult M. discolor feed on both rice pollen and soft-bodied arthropods. Bitrophic bioassay and tritrophic bioassay were conducted to evaluate the potential impact of Cry1Ac/Cry1Ab-expressing rice Huahui 1 and its non-transgenic counterpart Minghui 63 on fitness parameters of adult M. discolor. The results showed that the survival, and fecundity of this beetle' adults were not different when they fed on Bt rice or non-Bt rice pollen or Nilaparvata lugens (Stål) reared on Bt rice or non-Bt rice. Toxicity assessment to ensure M. discolor adults were not sensitive to Cry1Ab or Cry1Ac protein independent from the pollen background, M. discolor adults were fed with an artificial diet containing Cry1Ac, Cry1Ab or both protein approximately 10 times higher concentration than in Huahui 1 rice pollen. No difference was detected for any of the life-table parameters tested between Cry protein-containing and pure diet. Artificial diet containing E-64 (N-(trans-Epoxysuccinyl)-L-leucine 4-guanidinobutylamide) was included as a positive control. In contrast, the pre-oviposition and fecundity of M. discolor were significantly adversely affected by feeding on E-64-containing diet. In both bioassays, the uptakes of Cry protein by adult M. discolor were tested by ELISA measurements. These results indicated that adults of M. discolor are not affected by Cry1Ab- or Cry1Ac-expressing rice pollen and are not sensitive to Cry protein at concentrations exceeding the levels in rice pollen in Huahui1. This suggests that M. discolor adults would not be harmed by Cry1Ac/Cry1Ab rice if Bt rice Huahui 1 were commercialized.

[Epidemiological survey of mental illnesses in the people aged 15 and older in Zhejiang Province, China].

OBJECTIVE: To describe the current prevalence and distribution of all types of mental disorders in Zhejiang Province and use this data to develop a provincial mental health plan. METHODS: Stratified multi-stage cluster randomization was used to identify 14 counties (cities), 70 townships (urban districts), 140 villages (urban neighborhoods) and 15,000 subjects > or = 15 years of age. Psychiatric nurses used an expanded version of the General Health Questionnaire (GHQ) to identify subgroups of subjects at high, moderate and low risk of having a mental disorder, then psychiatrists determined their diagnoses by administering a structured psychiatric examination (SCID) that employs American diagnostic criteria for mental disorders (DSM-IV) to 100% of high-risk, 40% of moderate-risk and 10% of low-risk subjects. RESULTS: 14 639 subjects completed the screening and 4,788 completed the psychiatric examination. The adjusted overall current rate of mental disorders was 17.3% (95% CI = 16.0%-18.7%), which dropped to 13.4% (12.2%-14.7%) if the non-specific (NOS) disorders were excluded. The most common diagnostic groups were affective disorders (8.6%, 7.9%-9.5%), anxiety disorders (4.3%, 3.6%-5.1%), and substance use disorders (3.0%, 2.4%-3.8%). The most common specific disorders were major depressive disorder (4.3%, 3.7%-4.9%), alcohol use disorder (2.9%, 2.3%-3.7%), dysthymia (1.6%, 1.3%-1.9%) and specific phobias (1.2%, 0.8%-1.8%). The overall prevalence was higher in rural than in urban areas (RR = 1.23, 95% CI = 1.11-1.37) and slightly higher in women than in men (RR = 1.11, 1.00-1.22). CONCLUSIONS: Mental disorders seriously affect the social and economic development of Zhejiang Province; they are a major public health problem that urgently needs to be addressed. To do this, it is necessary to develop and implement a comprehensive province-wide mental health plan and regularly evaluate its effectiveness.

A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets.

The receiver operating characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostic tests. Investigators often compare the validity of two tests based on the estimated areas under the respective ROC curves. However, the traditional way of comparing entire areas under two ROC curves is not sensitive when two ROC curves cross each other. Also, there are some cutpoints on the ROC curves that are not considered in practice because their corresponding sensitivities or specificities are unacceptable. For the purpose of comparing the partial area under the curve (AUC) within a specific range of specificity for two correlated ROC curves, a non-parametric method based on Mann-Whitney U-statistics has been developed. The estimation of AUC along with its estimated variance and covariance is simplified by a method of grouping the observations according to their cutpoint values. The method is used to evaluate alternative logistic regression models that predict whether a subject has incident breast cancer based on information in Medicare claims data.