Jiangxi Province Research Articles

Moderating effects of PER3 gene DNA methylation on the association between problematic mobile phone use and chronotype among Chinese young adults: Focus on gender differences.

To investigate the rates of problematic mobile phone use (PMPU) and chronotypes in young adults, and examine the associations of PMPU with chronotypes, as well as its gender differences. Furthermore, we explored the moderating role of PER3 gene DNA methylation on the associations. From April to May 2019, a total of 1,179 young adults were selected from 2 universities in Anhui and Jiangxi provinces. The Self-rating Questionnaire for Adolescent Problematic Mobile PhoneUse (SQAPMPU) and reduced Morningness-Eveningness Questionnaire (rMEQ) were adopted to investigate PMPU and chronotypes in young adults, respectively. Moreover, 744 blood samples werecollected to measure PER3 gene DNA methylation. Multivariate logistic regression models were established to analyze the associations between PMPU and chronotypes. Moderating analysis was usedto determine whether PER3 gene DNA methylation moderated the relationships between PMPUand chronotypes. The prevalence of PMPU, morning chronotypes (M-types), neutral chronotypes (N-types), and evening chronotypes (E-types) of young adults were 24.6%, 18.4%, 71.1%, and 10.5%, respectively. Multivariate logistic regression results indicated that PMPU was positively correlated with E-types (OR = 3.53, 95%CI: 2.08-6.00), and the association was observed only in females after stratified by gender (OR = 5.36, 95%CI: 2.70-10.67). Furthermore, PER3 gene DNA methylation has a negative moderating role between PMPU and chronotypes and has a sex-based difference. This study can provide valuable information for the prevention and control ofcircadian rhythm disturbance among young adults from the perspective of epidemiology and biological etiology.

A Novel Method of Magnetic Sources Edge Detection Based on Gradient Tensor

The edge detection method based on the magnetic gradient tensor data plays an important role in magnetic exploration because it is free from geomagnetic interference and contains more abundant information. This paper proposes a new anomaly edge detection method using the magnetic gradient tensor components. The model is established to compare with other methods, such as directional total horizontal derivative (THDz), analytical signal (AS), tilt angle, theta map, and so on, under conditions of vertical magnetization, oblique magnetization, and noise interference. Through the study of the anomaly distribution of the rectangular model, it is observed that the edge detection method proposed in this paper is nearly impervious to noise interference, exhibits strong anti-interference capabilities, delivers a high-quality boundary identification effect, and provides greater accuracy in anomaly edges with minimal error. When multiple anomalous bodies are present, the edge detection results are less susceptible to interference from each other, resulting in higher resolution. The efficiency of the algorithm is demonstrated by real magnetic data from some study areas in Jiangxi Province, China. The experimental results show that the proposed method is more precise and accurate than the total horizontal derivative, analytical signal, tilt angle, and theta map methods.

Team Cohesion and Student Athlete Well-Being in A Normal University in Jiangxi Province

This study aims to gain a deeper understanding of the relationship between team cohesion and WELL-BEING among college athletes. This study adopts a quantitative research design, with a sample of 627 college athletes from a regular university in Jiangxi Province, China. A survey was conducted on the basic information of student respondents in terms of gender, age, grade, and years of experience, as well as their self-evaluation of athlete well-being, including physical health, mental health, emotions, balance, socialization, achievement, recovery and rest, and support systems. The relationship between team cohesion and self-evaluation of well-being was studied by analyzing the differences in personal characteristics and self-evaluation of well-being. This study also evaluated the positive effects of team cohesion, coach behavior, and athlete well-being on physical, psychological, emotional, and social health, and recommended promoting open and transparent communication within the team, strengthening leadership, establishing conflict resolution mechanisms, cultivating common values and goals, focusing on mental health, balancing lifestyles, and promoting internal respect and team spirit through team building and support networks to increase athlete well-being and team cohesion.

Coupling management ecosystem service supply-supply trade-offs and supply–demand trade-offs: Framework and practice

Ecosystem services (ESs) are the bridge between ecosystem and social system, and how to effectively manage different types of ES trade-offs is the key barrier to ensure that ecosystems provide sustainable benefits for human beings. The objective of this study is to propose a theoretical and methodological framework for the coupled management of ES supply-supply trade-offs and demand-demand trade-offs and to propose an ES trade-offs management scheme for the study area (Jiangxi Province) according to this framework. In this study, we evaluated the provision of ES and the intensity of two types of ES trade-offs in the study area through InVest model, and explored the driving mechanism of the two types of ES trade-offs through redundancy analysis. Finally, we proposed a land use structure in the study area that alleviates the intensity of both types of ES trade-offs through multi-objective nonlinear programming. The results showed that: (1) the water yield service supply in Jiangxi Province showed a pattern of high in the north and low in the south, and the carbon sequestration service supply showed a pattern of high in the south and low in the north. (2) The supply-supply trade-off intensity of two ES is generally low in the north and high in the south, and the supply–demand trade-off intensity of water yield service and carbon sequestration service is basically high in the densely populated area in the north of Jiangxi. (3) Forestland area, farmland area and water area are the supply–demand trade-off driving forces of water yield service and carbon sequestration service, grassland area is an independent driving force of carbon sequestration service, and farmland area and cultivated land area are the supply-supply trade-off driving forces. The study shows that in order to achieve the lowest supply-supply trade-off intensity and supply–demand trade-off intensity in Jiangxi Province at the same time, the forestland should reach at least 104470 km2, the water area should reach 12,900.7 km2, the farmland area should reach 281333.3 km2, and the grassland area should increase to 15,457.9 km2. The results are expected to provide a new perspective for ecosystem management research.

Situational Leadership Practices of Higher Education in China as Correlates to Organizational Commitment

This study delves into the relationship between situational leadership practices and the organizational commitment of faculty members within Chinese higher education institutions. Through a survey and in-depth interviews with 352 in-service teachers from three universities in Jiangxi Province, this research collected data on situational leadership practices and organizational commitment. The findings indicate that the seven dimensions of situational leadership practices—supportive behavior, leadership behavior, members' maturity level, teaching guidance behavior, academic exchange and collaboration, personal growth and self-management, and technology application—are significantly and positively correlated with the organizational commitment of faculty members. Specifically, supportive behavior and leadership behavior play a crucial role in enhancing the affective commitment, continuance commitment, and normative commitment of faculty members. Additionally, the study discovered significant differences in the situational leadership practices related to academic exchange and collaboration among teachers from different academic backgrounds. This research underscores the pivotal role of situational leadership in enhancing the organizational commitment of faculty members and the effectiveness of higher education institutions, and it offers targeted suggestions for improvement.

Enhancing Student Affairs Management in Higher Vocational Education Through Digital Media

This study comprehensively analyzed the importance of digital media on student affairs management in higher vocational colleges. The current application status of digital media in student affairs management reveals extensive and profound effects. Digital media enhances efficiency and convenience in areas such as: extracurricular activities, socialization, academic performance, ,Student Personnel, Student Services ,Student Development, Communication Tools, Self-Satisfaction and fulfillment& Inclusivity and Diversity. The researcher employed stratified sampling to select 397 respondents from four higher vocational colleges in Jiangxi Province and used a comparative descriptive research design. Based from the data results the students are aware of the crucial role that digital media plays in these domains but their assessment of the role of digital media on student affairs management based on extracurricular activities, socialization, academic performance, and student personnel student services, student development, communication tools, self-satisfaction and fulfillment, and inclusivity and diversity is considered to be less important. With this It was recommended that school administrator should highlight the importance of recognizing and building upon the unique needs and preferences of students in different academic years to optimize the use of digital media for their holistic development and well-being. There is also a need for tailoring digital media strategies and resources to meet the unique needs and objectives of students in different disciplines and maximize the benefits of technology integration in their academic and professional pursuits.

Analysis of the spatial differentiation and driving force of arable land abandonment and non-grain in the hilly mountainous areas of Gannan

Food security has a bearing on national development and people's livelihoods and is an important guarantee of social stability for national development. The problems of arable land abandonment and non-grain are becoming more and more serious, and national food security is difficult to guarantee, which will seriously hinder the forward development of China's society and economy. Taking Ruijin City of Jiangxi Province as an example, this study calculated the abandonment level and non-grain level of arable land in Ruijin City respectively from two aspects, and explored the spatial differentiation law of farmland abandonment and non-grain level in the hilly and mountainous areas of southern Jiangxi Province by using spatial autocorrelation and cold and hot spot analysis methods, and the causes of arable land abandonment and non-grain spatial differentiation in the hilly mountainous areas of Gannan were revealed by the methods of Geodetector factor detection and interaction detection. Conclusions of the study: (1) Ruijin City, the abandoned area was 1216.73 hm2, the abandonment rate of each village ranged from 0.01 % to 50.62 %, and the comprehensive abandonment rate was 4.90 %; the area of non-grain was 2937.27 hm2, and the rate of non-grain of each village ranged from 0.01 % to 100.00 %, and the comprehensive non-grain rate was 11.83 %. The area of non-grain was 2937.27 hm2, and the rate of non-grain in each village ranged from 0.01 % to 100.00 %, and the comprehensive rate of non-grain was 11.83 %. (2) The phenomenon of abandonment of arable land and non-grain in Gannan hilly and mountainous areas has a certain clustering and driving effect in space. Globally, the phenomena of arable land abandonment and non-grain in Ruijin City are positively correlated, with the global Moran's I of arable land abandonment rate being 0.05, and the global Moran's I of arable land non-grain being 0.73. (3) Whether or not arable land in the hilly mountainous areas of Gannan is abandoned is affected by the combination of socioeconomics, natural resources, farming conditions, and economic location, with elevation, the degree of arable land contiguity, and population density being the dominant factors. The interaction of elevation, degree of concentration and contiguity, field regularity, and per capita arable land area increased the spatial variability of arable land abandonment in the hilly mountainous areas of Gannan. Whether the phenomenon of non-grain occurs or not is affected by socio-economic conditions, farming conditions and economic location, of which the proportion of paddy fields, land transfer price, arable land area, and urban-rural gradient are the dominant factors. The proportion of paddy land, the price of land transfer, the area of arable land, and the urban-rural gradient interact with each other, and the tendency of arable land to be planted with non-grain crops is more serious.

Chemical Speciation, Contamination, Human Health Risk Assessment, and Source Identification of Heavy Metals in Soils Composted with Swine Manure

ABSTRACT Heavy metal accumulation in the swine manure composting vegetable soil continues to attract attention for the reason that heavy metals are often added to animal feeds as growth promoters. The seven heavy metals (Cr, Ni, Cu, Zn, As, Cd, and Pb) concentration and chemical speciation in soil samples from 15 swine manure composting vegetable fields of Jiangxi Province were analyzed. The results showed that the average concentration of Cr, Ni Cu, Zn, As, Cd, and Pb was 48.46 ± 5.58 mg/kg, 29.06 ± 1.80 mg/kg, 48.16 ± 9.69 mg/kg, 142.32 ± 38.71 mg/kg, 10.62 ± 2.76 mg/kg, 0.13 ± 0.04 mg/kg, and 15.75 ± 2.36 mg/kg, respectively. The average concentration of Ni, Cu, Zn, and Cd was 1.12, 1.89, 1.77, and 1.17 times greater than their background values, whereas the average concentration of Cr, As, and Pb was lower than their background values. The chemical speciation analysis indicated that these heavy metals were dominated by residual fractions and have low mobility and bioavailability. The Geo-accumulation index (I geo) indicated that the soils were unpolluted with Cr, Ni, As, Cd, and Pb, while unpolluted to moderately polluted with Cu and Zn. The Nemerow comprehensive pollution index suggested that the soils were lightly polluted with heavy metals. They posed a considerable potential ecological risk to the soils. Based on the risk assessment code (RAC), these heavy metals exhibited no to medium risks. There was little non-carcinogenic risk and acceptable carcinogenic risk to humans from the heavy metals. Principal component analysis (PCA) indicated that Ni, Cu, Zn, and Cd originated from the use of a large quantity of swine manure; Pb and As mainly derived from atmospheric deposition; Cr was mainly from natural sources.

Research Framework for the Construction of Developmental Support and Education System in Vocational Colleges - A Case Study of Shang Rao Vocational College

This study investigates the construction of developmental support and education systems in vocational colleges, with a specific focus on the "riser" Project at Shang Rao Vocational College, Jiangxi province, China. Recognizing the evolving needs of economically disadvantaged students, the study explores the efficacy of holistic developmental support initiatives beyond traditional financial aid. Through a mixed-methods approach incorporating theoretical frameworks, empirical data analysis, and stakeholder insights, the study evaluates the effectiveness of existing support systems and identifies areas for improvement. Key findings highlight the significance of integrated support services in fostering students' academic, personal, and professional growth. The "riser" Project emerges as a notable exemplar of comprehensive developmental support within vocational education settings, though opportunities for refinement are evident. Practical recommendations are offered to optimize support services and enhance student experiences, contributing to the advancement of vocational education in the post-poverty era.

Sinobdella longitubulus, a new species of spiny eel (Pisces, Mastacembelidae) from the Zhu-Jiang Basin, with a note on the type locality of S. sinensis (Bleeker, 1870)

The spiny eel genus Sinobdella belongs to the family Mastacembelidae of the order Synbranchiformes. Kottelat and Lim (1994) utilised Rhynchobdella sinensis as the type species to propose the genus. Currently, it contains a single species widespread in eastern and southern China and northern Vietnam. Sinobdella longitubulus, a new species of spiny eel, is here described from the Xi-Jiang of the Zhu-Jiang Basin in Guangxi Zhuang Autonomous Region, southern China. It differs from the single congeneric species S. sinensis in having a more or less white-brown reticulated pattern on the flank, two tubular anterior nostrils longer than or equal to the rostral appendage, an anal fin heavily mottled with dark brown markings and white spots and bearing a narrow white distal margin; shorter pre-anal length; and fewer abdominal vertebrae. The validity of this new species is corroborated by its monophyly recovered in a COI gene-based phylogenetic analysis and its significant sequence divergence with S. sinensis. A note on the type locality of S. sinensis is also given; its type specimen is possibly from mountain streams of Jiangxi Province, in the lower Chang-Jiang Basin.

A Study on the Preferences and Behaviors of College Students Who Shop Online for Clothes

In today’s society, e-commerce is becoming more and more popular, ushering in a new era of online shopping. As an emerging mode of consumption, online consumption has brought great convenience to college students’ daily life, but also has a serious impact on the consumption concept of college students whose psychological development is not yet mature, among which the negative impact is undeniable and needs to be taught and corrected in time. As a group with distinctive characteristics among many online consumers, college students can grasp the changing ways of the Internet as quickly as possible and skillfully use online channels to shop. Irrational consumption behaviors such as blind following, excessive, comparison, and impulsiveness are common among college students. In the case of insufficient funds from their families, some college students will even choose to borrow online. How to correctly guide college students to establish a rational outlook on consumption is the biggest problem facing the whole society. Based on the questionnaire survey method and the characteristics of college students’ online clothing consumption behavior in Jiangxi Province, this paper analyzes the main influencing factors of college students’ online consumption behavior by stating the sources of living expenses, consumption platforms, clothing types, and purchase mentality, summarizes their consumption psychological characteristics, and puts forward scientific guidance countermeasures and programs for college students to establish a correct online consumption concept from five levels: government, society, universities, families and individuals.

How does village cadres' quality affect farmers' approach to domestic sewage treatment? Evidence from Jiangxi Province, China

The clean transformation of domestic sewage treatment is essential for addressing the challenges of current rural environmental pollution. Village cadres, as rural leaders, play a crucial role in organizing and coordinating farmers' participation in improving sewage treatment. Although previous studies have highlighted the importance of domestic sewage treatment, research on how rural leaders' qualities influence farmers' sewage treatment practices remains significantly limited. To fill this gap and clarify the relationship between the qualities of village cadres and farmers' participation in domestic sewage treatment, this study focuses on analyzing whether improving the village cadres’ quality can lead to enhanced scientific treatment of rural domestic sewage by farmers. Through linear regression analysis of a sample of rural residents in Jiangxi Province, China, this study demonstrates that the improved quality of village cadres positively affects farmers' scientific treatment of domestic wastewater. The study also finds that farmers' trust in village cadres plays a significant role in aiding high-quality leaders to improve farmers' scientific wastewater treatment behaviors. Moreover, compared to farmers in villages without a representative village council system, those in villages with such a system are more likely to be influenced by high-quality village cadres, thereby improving their wastewater treatment practices. Based on these findings, this article offers practical implications for policymakers and researchers aiming to strengthen rural environmental governance and sustainable development efforts.

Formula process and coloring mechanism of bluish‐white porcelains from the Lanxi kiln in Fujian, China

AbstractBluish‐white porcelain was a prominent type of porcelain in ancient China, renowned for its distinctive artistic style and unique characteristics. The Lanxi kiln in Jianning County, Fujian Province, has unearthed a multitude of bluish‐white porcelain products from the Southern Song dynasty that exhibit vibrant glaze color and exceptional craftsmanship. The quality of these porcelains surpasses that of contemporaneous Jingdezhen and Baishe kiln products in Jiangxi Province, representing the pinnacle of bluish‐white porcelain excavated across various regions of China during the Southern Song dynasty. In this study, samples of bluish‐white porcelain from the Lanxi kiln and Baishe kiln, dating back to the Southern Song dynasty, were selected and analyzed via energy dispersive X‐ray fluorescence, ultraviolet–visible–near infrared (UV–Vis–NIR) spectrophotometer, metallographic microscopy, and scanning electron microscopy with EDS to investigate their glaze formula process and coloring mechanism. Moreover, these findings were subsequently compared with those of Jingdezhen bluish‐white porcelain from the same period. The results demonstrate that the raw materials of porcelain stones used in the glaze of the Lanxi and Jingdezhen kiln are similar in composition yet differ significantly from that employed in the Baishe kiln. Potassium feldspar was added to the glazes of the Baishe and Lanxi kiln, potentially existing exchanges of process of the two kilns due to their geographic proximity. The firing atmosphere of bluish‐white porcelain with different glaze colors in the same kiln exhibits significant variations. In particular, the lake blue sample undergoes firing under a strong reducing atmosphere, resulting in an excess content of Fe2+ in octahedral hexagon coordination within the glaze, thereby intensifying its blue hue. The colors of various glazes are determined by both chemical color and physical color. The former is a result of the absorption of Fe3+ in the ultraviolet region and the d‐d electron orbital transition of Fe2+ in the infrared region. However, the latter is not the scattering physical color but the diffuse reflection physical color produced by bubbles and anorthite crystallization layers.

Feasibility of ultrasound radiomics based models for classification of liver fibrosis due to Schistosoma japonicum infection.

Schistosomiasis japonica represents a significant public health concern in South Asia. There is an urgent need to optimize existing schistosomiasis diagnostic techniques. This study aims to develop models for the different stages of liver fibrosis caused by Schistosoma infection utilizing ultrasound radiomics and machine learning techniques. From 2018 to 2022, we retrospectively collected data on 1,531 patients and 5,671 B-mode ultrasound images from the Second People's Hospital of Duchang City, Jiangxi Province, China. The datasets were screened based on inclusion and exclusion criteria suitable for radiomics models. Liver fibrosis due to Schistosoma infection (LFSI) was categorized into four stages: grade 0, grade 1, grade 2, and grade 3. The data were divided into six binary classification problems, such as group 1 (grade 0 vs. grade 1) and group 2 (grade 0 vs. grade 2). Key radiomic features were extracted using Pyradiomics, the Mann-Whitney U test, and the Least Absolute Shrinkage and Selection Operator (LASSO). Machine learning models were constructed using Support Vector Machine (SVM), and the contribution of different features in the model was described by applying Shapley Additive Explanations (SHAP). This study ultimately included 1,388 patients and their corresponding images. A total of 851 radiomics features were extracted for each binary classification problems. Following feature selection, 18 to 76 features were retained from each groups. The area under the receiver operating characteristic curve (AUC) for the validation cohorts was 0.834 (95% CI: 0.779-0.885) for the LFSI grade 0 vs. LFSI grade 1, 0.771 (95% CI: 0.713-0.835) for LFSI grade 1 vs. LFSI grade 2, and 0.830 (95% CI: 0.762-0.885) for LFSI grade 2 vs. LFSI grade 3. Machine learning models based on ultrasound radiomics are feasible for classifying different stages of liver fibrosis caused by Schistosoma infection.

Spatial distribution patterns of human resources allocation in maternal and child healthcare institutions in China from 2016 to 2021

BackgroundIn China, economic, urbanization, and policy differences between the eastern and western regions lead to uneven healthcare resources. This disparity is more pronounced in the west due to fewer healthcare personnel per thousand individuals and imbalanced doctor-to-nurse ratios, which exacerbates healthcare challenges. This study examines the spatial distribution of human resources in maternal and child healthcare from 2016 to 2021, highlighting regional disparities and offering insights for future policy development.MethodsThe data were sourced from the “China Health and Family Planning Statistical Yearbook” (2017) and the “China Health and Health Statistics Yearbook” (2018–2022). This study utilized GeoDa 1.8.6 software to conduct both global and local spatial autocorrelation analyses, using China’s administrative map as the base dataset.ResultsFrom 2016 to 2021, there was an upward trend in the number of health personnel and various types of health technical personnel in Chinese maternal and child healthcare institutions. The spatial distribution of these personnel from 2016 to 2021 revealed clusters characterized as high-high, low-low, high-low and low-high. Specifically, high-high clusters were identified in Guangxi, Hunan, Jiangxi, and Guangdong provinces; low-low in Xinjiang Uygur Autonomous Region and Inner Mongolia Autonomous Region; high-low in Sichuan province; and low-high in Fujian and Anhui provinces.ConclusionsFrom 2016 to 2021, there was evident spatial clustering of health personnel and various health technical personnel in Chinese maternal and child healthcare institutions, indicating regional imbalances.

Mapping Soil Properties in the Haihun River Sub-Watershed, Yangtze River Basin, China, by Integrating Machine Learning and Variable Selection.

Mapping soil properties in sub-watersheds is critical for agricultural productivity, land management, and ecological security. Machine learning has been widely applied to digital soil mapping due to a rapidly increasing number of environmental covariates. However, the inclusion of many environmental covariates in machine learning models leads to the problem of multicollinearity, with poorly understood consequences for prediction performance. Here, we explored the effects of variable selection on the prediction performance of two machine learning models for multiple soil properties in the Haihun River sub-watershed, Jiangxi Province, China. Surface soils (0-20 cm) were collected from a total of 180 sample points in 2022. The optimal covariates were selected from 40 environmental covariates using a recursive feature elimination algorithm. Compared to all-variable models, the random forest (RF) and extreme gradient boosting (XGBoost) models with variable selection improved in prediction accuracy. The R2 values of the RF and XGBoost models increased by 0.34 and 0.47 for the soil organic carbon, by 0.67 and 0.62 for the total phosphorus, and by 0.43 and 0.62 for the available phosphorus, respectively. The models with variable selection presented reduced global uncertainty, and the overall uncertainty of the RF model was lower than that of the XGBoost model. The soil properties showed high spatial heterogeneity based on the models with variable selection. Remote sensing covariates (particularly principal component 2) were the major factors controlling the distribution of the soil organic carbon. Human activity covariates (mainly land use) and organism covariates (mainly potential evapotranspiration) played a predominant role in driving the distribution of the soil total and soil available phosphorus, respectively. This study indicates the importance of variable selection for predicting multiple soil properties and mapping their spatial distribution in sub-watersheds.

Temporal and Spatial Evolution and Prediction of Ecosystem Carbon Storage in Jiangxi Province Based on PLUS-InVEST Model

Land-use changes are an important factor affecting the change in carbon storage in terrestrial ecosystems. Exploring the relationship between land-use changes and carbon storage provides reliable data support for optimizing regional land-use structure and maintaining regional carbon balance. Taking Jiangxi Province as an example, we first analyzed the land-use changes; then simulated the land-use pattern under three scenarios (i.e., natural development, ecological priority, and economic development scenarios) in 2030 based on the PLUS model; and finally estimated the carbon storage change in the past (i.e., 1990-2020) and future periods (i.e., three scenarios in 2030) using the InVEST model, analyzed the spatial-temporal characteristics, and proposed the corresponding suggestions. The results showed:① The carbon storage in Jiangxi Province showed a downward trend from 1990 to 2020, with a total reduction of 4.58×107 t. The increase in the water bodies and construction land and the decrease in cultivated land, woodland, grassland, and unused land was the major cause. ② The carbon storage under natural development, ecological priority, and economic development scenarios in Jiangxi Province in 2030 were 2.20×109, 2.24×109 and 2.19×109 t, respectively. ③ The carbon storage under the three scenarios showed similar spatial characteristics, wherein the high carbon storage was distributed in northern, northwest, and western regions, and the low carbon storage was distributed near the central region. These results can provide data support for future land spatial planning and improving the carbon storage of terrestrial ecosystems in Jiangxi Province.

Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators

To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People's Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients'radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients'radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = -5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Phosphorus flow characteristics in the waste system of Poyang Lake Watershed over the past 70 years

With the intensification of human activities, the amount of phosphorus (P)-containing waste has increased. When such waste is not recycled, P is released into the environment, leading to environmental issues such as the eutrophication of water bodies. In this study, based on the material flow analysis method, a P Waste Flow analysis model (P-WFA) was developed to analyze the P flow in the waste system of Poyang Lake, the largest freshwater lake in China. To address the research gap in long-term P flow analysis at the watershed scale, this study quantified the P content in the waste system of the Poyang Lake Watershed from 1950 to 2020. The analysis revealed that from 1950 to 2020, the total P input into the waste system increased from 5.49 × 104 tons in 1950 to 2.28 × 105 tons in 2020. The breeding industry system was identified as the primary source, accounting for 25.19–41.59 % of the total waste system. Over the past 70 years, P loss to surface water from waste systems has been primarily facilitated by manure from the breeding industry, as well as drainage from crop farming systems (77.74 % in 2020). At the same time, the P recycling rate (PRR) of the waste system exhibited an initial increase followed by a decrease, increasing from 44.14 % to 47.75 % before dropping to 44.41 %. Population growth, urbanization, and changes in consumption levels in Jiangxi Province have led to changes in the dietary structure and fertilizer use, consequently affecting the P cycling pattern. This study presents a comprehensive P flow model for waste systems in the Poyang Lake Watershed. This model can be used as a reference to enhance P cycling and manage P loss in other large freshwater lakes.

Three new Stenohya species with sexually dimorphic leg I from China (Pseudoscorpiones, Neobisiidae).

Three new species of the genus Stenohya Beier, 1967 from China are described: Stenohyagibba sp. nov. and S.papillata sp. nov. from Hunan Province, and S.guangmingensis sp. nov. from Jiangxi Province. In addition to their sexually dimorphic pedipalp, these three new species also have a uniquely sexual dimorphic leg I, which has not been reported in other Stenohya species. Additionally, an updated key to the Chinese Stenohya species is provided.