Publications by authors named "Wenzhong Tang"

The study of terrestrial phosphorus inflow (hereafter referred to as phosphorus inflow) fluxes is essential for controlling non-point source (NPS) pollution. The SWAT model was successfully used to simulate phosphorus inflow fluxes in the Dongting Lake area, while a hybrid model (LSTM and SWAT) was developed and validated for predicting the reduction in phosphorus inflow fluxes among rivers based on three typical reduction scenarios: agricultural control, livestock and poultry reduction, and soil and water conservation measures. The results showed that the inflow flux of TP was 3.

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Objective: Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its automatic classification can reduce subjectivity. However, current convolutional neural networks (CNNs) face challenges in capturing global features, while vision transformer (ViT) networks have limitations in effectively extracting local features. Therefore, this study aimed to develop a deep learning method that enables the interaction and updating of intermediate features between CNN and ViT to achieve high-accuracy BUS image classification.

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To study the influence of in situ biochar (BC) capping technique on the release of ammonia nitrogen (NH-N) from sediments, a field mesocosm experiment was conducted in Baiyangdian Lake (BYDL), a critical water body often referred to as the "kidney of North China" where sediment pollution poses a significant threat to water quality. This study also assessed the impact of BC on sediment microorganisms. The results showed that the NH-N concentration in the overlying water of the BC-treated mesocosms was the lowest among four treatments, decreasing to 0.

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Recently, a surge in image manipulations in scientific publications has led to numerous retractions, highlighting the importance of image integrity. Although forensic detectors for image duplication and synthesis have been researched, the detection of image splicing in scientific publications remains largely unexplored. Splicing detection is more challenging than duplication detection due to the lack of reference images and more difficult than synthesis detection because of the presence of smaller tampered-with areas.

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Article Synopsis
  • Short texts on social platforms often lack strong emotional expression and can be ambiguous, which makes sentiment analysis challenging.
  • To address this, the paper introduces the emoji-based multifeature fusion sentiment analysis model (EMFSA), which enhances sentiment detection by analyzing emojis, text features, and topics.
  • The EMFSA model improves sentiment representation accuracy through a pretraining approach, a specialized language model focusing on emotions, and a cross-attention mechanism, resulting in notable accuracy gains in comparative experiments.
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There is a large surface-groundwater exchange downstream of wastewater treatment plants (WWTPs), and antibiotics upstream may influence sites downstream of rivers. Thus, samples from 9 effluent-receiving urban rivers (ERURs) and 12 groundwater sites were collected in Shijiazhuang City in December 2020 and April 2021. For ERURs, 8 out of 13 target quinolone antibiotics (QNs) were detected, and the total concentration of QNs in December and April were 100.

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  • Submerged plants and biochar have shown promise for improving aquaculture pond sediment health, but more research is needed on how they work together to reduce harmful organic contaminants and manage nutrient levels.* -
  • The study tested how effective a combination of a submerged plant (Vallisneria natans) and wheat straw biochar was at removing hydrophobic organic contaminants (HOCs) in simulated freshwater aquaculture ponds, focusing on the benthic organism Corbicula fluminea.* -
  • Results demonstrated that a 1.5% biochar mix with Vallisneria natans optimized HOC control, promoting plant growth, while also revealing that most contaminants in the system were degraded through microbial action, highlighting the importance of bacterial ph
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In lake ecosystems, pelagic-benthic coupling strength (PBCS) is closely related to foodweb structure and pollutant transport. However, the trophic transfer of antibiotics in a benthic-pelagic coupling foodweb (BPCFW) and the manner in which PBCS influences the trophic magnification factor (TMFs) of antibiotics is still not well understood in the whole lake. Herein, the trophic transfer behavior of 12 quinolone antibiotics (QNs) in the BPCFW of Baiyangdian Lake were studied during the period of 2018-2019.

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  • Relationship Extraction (RE) is important for extracting meaningful connections from data, and new methods like CasRel are being explored to improve accuracy despite challenges such as overlapping information and data quality issues.
  • The introduced method, CasRelBLCF, builds on existing techniques by using a joint decoder that combines Bi-LSTM and CRF, integrating a Focal Loss function to address the problem of imbalanced data samples.
  • Experimental results show that the CasRelBLCF model outperforms previous models, particularly in terms of effectiveness due to the noise reduction strategy it employs.
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Rivers as a critical sink for antibiotic resistance genes (ARGs), and the distribution and spread of ARGs are related to environmental factors, human activities, and biotic factors (e.g. mobile genetic elements (MGEs)).

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In situ measurement of multiple pollutants coexisting in sediment porewater is an essential step in comprehensively assessing the bioavailability and risk of pollutants, but to date, this needs to be better developed. In this study, a passive sampler, consisting of an "I-shaped" supporting frame and inorganic/organic sampling units, incorporating equilibrium dialysis theory and kinetic/equilibrium sorption principle, was developed for the synchronous measurement of inorganic (e.g.

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  • The study aims to enhance the assessment of cervical maturity in Chinese women undergoing labor induction by integrating ultrasound data and machine learning with the traditional Bishop scoring method.
  • Researchers trained and tested a machine learning model using data from 101 pregnant women to predict the time from labor induction to actual labor, comparing the accuracy of different machine learning algorithms like XGBoost, CatBoost, and Random Forest against the Bishop method.
  • Findings showed that the machine learning models, especially XGBoost, significantly reduced prediction errors compared to the Bishop method, suggesting a more objective and accurate approach for evaluating cervical maturity.
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Purpose: Breast ultrasound (BUS) is an important breast imaging tool. Automatic BUS image segmentation can measure the breast tumor size objectively and reduce doctors' workload. In this article, we proposed a deep supervised transformer U-shaped full-resolution residual network (DSTransUFRRN) to segment BUS images.

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Municipal wastewater treatment often lacks carbon source, while carbon-rich organics in food waste are deficiently utilized. In this study, the food waste fermentation liquid (FWFL) was step-fed into a bench-scale step-feed three-stage anoxic/aerobic system (SFTS-A/O), to investigate its performance in nutrients removal and the response of microbial community as a supplementary carbon source. The results showed that the total nitrogen (TN) removal rate increased by 21.

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Ultrasound sound-speed tomography (USST) is a promising technology for breast imaging and breast cancer detection. Its reconstruction is a complex non-linear mapping from the projection data to the sound-speed image (SSI). The traditional reconstruction methods include mainly the ray-based methods and the waveform-based methods.

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Purpose: Breast cancer is the most commonly occurring cancer worldwide. The ultrasound reflectivity imaging technique can be used to obtain breast ultrasound (BUS) images, which can be used to classify benign and malignant tumors. However, the classification is subjective and dependent on the experience and skill of operators and doctors.

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A drastic decrease in the suspended sediment of Dongting Lake (DTL) has been observed due to Three Gorges Dam (TGD) impoundment operation since 2003. However, the relationship between sediment loads and metal fluxes has not been studied. This study comprehensively analyzed the content characteristics of seven metal(loid)s (As, Cd, Cr, Cu, Hg, Pb, and Zn) in the surface sediment of DTL from 2000 to 2019.

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Article Synopsis
  • Water pollution is a pressing global issue, particularly in developing nations, with China making significant advancements in water pollution control over the past two decades while facing new challenges.
  • An analysis of long-term data reveals that China's wastewater treatment capacity has reached levels comparable to developed countries, with treatment rates exceeding 90% in both urban and rural areas.
  • Despite improvements in surface water quality, water pollution remains problematic in eastern river basins due to rapid economic growth, highlighting the need for further enhancements in wastewater management and alignment of treatment plant standards with environmental quality goals.
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The fraction transformation from stable to mobile forms in sediments is continuous, slow, and spontaneous chain reactions causing static risks to the aquatic system. However, this process may change into abrupt, rapid, and dynamic paths when certain physicochemical conditions changed. Using the Delayed Geochemical Hazard (DGH) model, comprehensive methods combing both static and dynamic risk assessment were therefore conducted to evaluate the aforementioned processes.

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Constructed wetlands (CWs) are economical, efficient, and sustainable wastewater treatment method. Substrates in CWs inextricably link with the other key components and significantly influence the performance and sustainability of CWs. Gradually, CWs have been applied to treat more complex contaminants from different fields, thus has brought forward new demand on substrates for enhancing the performance and sustainability of CWs.

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Constructed wetlands (CWs) have been introduced to and developed in China for environmental engineering over the most prosperous three decades (1990-2020). To study the origin, development process, and future trend of CWs, this review summarized a wide range of literatures between 1990 and 2020 by Chinese authors. Firstly, the publication number over years, research highlights, and the author contributions with the most published papers in this field were conducted through bibliometric analysis.

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Combined sewer overflows (CSOs) are a dominant contributor to urban river pollution. Therefore, reducing the environmental impacts of CSOs and improving the self-purification capacity of water bodies are essential. In this study, the side-stream supersaturation (SSS) oxygenation was applied to restore microbial function of rivers which are affected by CSOs to improve the self-purification capacity.

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Background: Rosai-Dorfman disease (RDD), or sinus histiocytosis with massive lymphadenopathy, is a benign histiocytic disorder. Extranodal involvement is common, occurring in > 40% of patients, but bone involvement occurs in < 10% of cases. In addition, primary bone RDD is extremely rare.

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This study aimed to evaluate the spatial and temporal variations of molybdenum (Mo) in the downstream water body of a Mo mine during three hydrologic periods (wet, dry and medium seasons). The physical properties in Luhun Reservoir reflected seasonal variations in different hydrological periods. The redox potential (ORP) and dissolved oxygen (DO) increased in the dry season.

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Excess inputs of nitrogen (N) and phosphorus (P) are the main contributors of aquatic environmental deterioration. Due to the agricultural and industrial activities in the rapidly urbanized basin, the anthropogenic N and P cycle are significantly different from other regions. In this study, we took the Pearl River Delta as an example and introduced the budget list of N and P in the five survey years, including the net anthropogenic N inputs (NANI) and net anthropogenic P inputs (NAPI).

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