Multicity comparative assessment and optimized management path of sustainability of the economy-energy-environment system: A case study of core cities in China's three major economic circles.

Coordinated and stable development of economy-energy-environment (3E) systems represents a long-term strategy for the sustainable development of humankind. Following the research idea of "indicator system construction-3E system evaluation-obstacles identification-optimization management," this article innovatively constructs a multiangle and comparable methodology system for evaluation and optimized management of the 3E system and considers the core cities of three economic circles in China as cases for empirical research. The results show that all the coordination degree levels were of good or high quality, which was at the highest level in the country. The sustainability degree of the three cities showed an upward trend; of these, Beijing had the highest sustainability degree, followed by Guangzhou and Shanghai. Obstacle degree analysis shows that technology investment and energy factors were common factors hindering sustainable development of the 3E systems of the three cities, and each city also had its own unique factors that acted as obstacles. On this basis, this article formulates region-specific policy recommendations in order to provide a useful reference for top-level design for the government. Integr Environ Assess Manag 2024;20:875-887. © 2023 SETAC.

The diagnostic value of shear-wave elastography in the salivary glands of patients with primary Sjögren syndrome.

OBJECTIVE: We aimed to quantify the extent of salivary gland fibrosis using shear-wave elastography (SWE) to assess its diagnostic value for primary Sjögren syndrome (pSS). METHODS: A total of 58 pSS patients and 44 controls underwent SWE ultrasound evaluation of the parotid and submandibular glands. We measured the degree of salivary gland fibrosis in all participants and investigated the diagnostic accuracy of SWE for pSS and its relationship to disease progression. RESULTS: The diagnostic sensitivity, specificity, and accuracy of pSS were highest when the critical Young's modulus values of the parotid and submandibular glands were 18.4 and 15.9 kPa, respectively, effectively improving the diagnostic value of pSS. The area under the SWE curve of the submandibular gland was higher than that of the parotid gland (z = 2.292, P = 0.02), suggesting that the submandibular gland was damaged earlier. The mean parotid gland thickness of pSS patients was thicker than in healthy controls (mean ± standard deviation 2.5 ± 0.3 vs 2.4 ± 0.2, P = 0.013]. SWE had a 70.3% sensitivity for diagnosing pSS patients with a disease duration of 5 years, but this did not differ significantly from pSS patients with a longer disease duration. CONCLUSIONS: SWE is a valid diagnostic method for pSS. The degree of salivary gland fibrosis related to secretory function and pathological progression, and quantitative measurements of tissue elasticity provide objective criteria for predicting damage in pSS.

DBE-Net: Dual Boundary-Guided Attention Exploration Network for Polyp Segmentation.

Automatic segmentation of polyps during colonoscopy can help doctors accurately find the polyp area and remove abnormal tissues in time to reduce the possibility of polyps transforming into cancer. However, the current polyp segmentation research still has the following problems: blurry polyp boundaries, multi-scale adaptability of polyps, and close resemblances between polyps and nearby normal tissues. To tackle these issues, this paper proposes a dual boundary-guided attention exploration network (DBE-Net) for polyp segmentation. Firstly, we propose a dual boundary-guided attention exploration module to solve the boundary-blurring problem. This module uses a coarse-to-fine strategy to progressively approximate the real polyp boundary. Secondly, a multi-scale context aggregation enhancement module is introduced to accommodate the multi-scale variation of polyps. Finally, we propose a low-level detail enhancement module, which can extract more low-level details and promote the performance of the overall network. Extensive experiments on five polyp segmentation benchmark datasets show that our method achieves superior performance and stronger generalization ability than state-of-the-art methods. Especially for CVC-ColonDB and ETIS, two challenging datasets among the five datasets, our method achieves excellent results of 82.4% and 80.6% in terms of mDice (mean dice similarity coefficient) and improves by 5.1% and 5.9% compared to the state-of-the-art methods.

Research on sustainable development evaluation and improvement path of resource-based cities based on coupling of emergy and system dynamics.

The evaluation of the sustainable development of resource-based cities is still one of the hotspots in today's social research. Taking Jining, Shandong Province, as the research object, this work combines a relevant emergy evaluation index system with system dynamics, establishes a resource-based city emergy flow system dynamics model, and studies sustainable development path in the next planning year. In the work, the key factors affecting the sustainable development of Jining are obtained through the coupling of regression and SD sensitivity analysis, and some scenarios are set up by combining them with the local 14th Five-year plan. Besides, the appropriate scenario (M-L-H-H) for Jining's future sustainable development is chosen in accordance with regional circumstances. That is, during the 14th Five-year Plan period, the appropriate development ranges for the growth rate of social fixed assets investment, the growth rate of raw coal emergy, the growth rate of grain emergy and the reduction rate of solid waste emergy are 17.5-18.3%, - 4.0 to - 3.2%, 1.8-2.6% and 4-4.8%. The methodology system constructed in this article can serve as a reference for similar studies, and the research findings can aid the government in formulating pertinent plans for resource-based cities.

The effect of optimizing chemical fertilizers consumption structure to promote environmental protection, crop yield and reduce greenhouse gases emission in China.

To ensure food security, simultaneously achieving environmental protection and greenhouse gas (GHG) emission reduction has become a significant challenge in the sustainable development of China's chemical fertilizers (CFs) industry. Hence, this work attempt to construct a multi-objective optimization model (MOOM) based on crop yield, environment protection, and GHG emissions to adjust and optimize China's CFs structure (nitrogen, phosphate, potash, and compound fertilizers). The findings revealed that it's impossible to achieve the coordinated development of the three objectives only through the adjustment of CFs structure. Different optimization measures were sequentially integrated with the MOOM to innovatively obtain the most suitable optimization schemes and the quantitative adjustment interval (which was compared with those in 2018) of the CFs structure. The following are the specific conclusions. First, compared with 2018, the appropriate increase interval for the total CFs consumption was 9 %-21 %, in which the proportion intervals of nitrogen, phosphate, potash, and compound fertilizers were 18 %-25 %, 12 %-18 %, 7 %-12 %, 48 %-60 %, respectively. Second, the reduction ranges of environmental impact and GHG emissions were 1.1 %-12 % and 12.2 %-16.4 %, respectively, under the optimal scheme (combination of the synergy of organic fertilizer substitution and technology improvement with the MOOM), and the growing range of crop yield was 0.2 %-52 %. The main contribution of this work is to build a methodology system for the adjustment and optimization of CFs consumption structure. The findings of the study could be used by the government to develop relevant policies and by other sectors to perform multi-objective optimization.

MHAU-Net: Skin Lesion Segmentation Based on Multi-Scale Hybrid Residual Attention Network.

Melanoma is a main factor that leads to skin cancer, and early diagnosis and treatment can significantly reduce the mortality of patients. Skin lesion boundary segmentation is a key to accurately localizing a lesion in dermoscopic images. However, the irregular shape and size of the lesions and the blurred boundary of the lesions pose significant challenges for researchers. In recent years, pixel-level semantic segmentation strategies based on convolutional neural networks have been widely used, but many methods still suffer from the inaccurate segmentation of fuzzy boundaries. In this paper, we proposed a multi-scale hybrid attentional convolutional neural network (MHAU-Net) for the precise localization and segmentation of skin lesions. MHAU-Net has four main components: multi-scale resolution input, hybrid residual attention (HRA), dilated convolution, and atrous spatial pyramid pooling. Multi-scale resolution inputs provide richer visual information, and HRA solves the problem of blurred boundaries and enhances the segmentation results. The Dice, mIoU, average specificity, and sensitivity on the ISIC2018 task 1 validation set were 93.69%, 90.02%, 92.7% and 93.9%, respectively. The segmentation metrics are significantly better than the latest DCSAU-Net, UNeXt, and U-Net, and excellent segmentation results are achieved on different datasets. We performed model robustness validations on the Kvasir-SEG dataset with an overall sensitivity and average specificity of 95.91% and 96.28%, respectively.

A Domino Azidation/C-H Amination Approach toward Trifluoromethyl Substituted Imidazoles.

N-Alkyl enamines can be transformed into 2,4,5-trisubsituted imidazoles by reacting with (diacetoxyiodo)benzene and TMSN3 under the catalysis of a copper salt such as Cu(OAc)2. Tetrabutyl ammonium iodide was also capable of promoting the reaction. The transformation from N-alkyl enamines into 2,4,5-trisubsituted imidazoles took place in a domino azidation/intramolecular C(sp3)-H amination pattern. The present reaction provides a new efficient method for the preparation of 4-(trifluoromethyl) imidazoles.

Synthesis of Quinoxaline Derivatives via Tandem Oxidative Azidation/Cyclization Reaction of N-Arylenamines.

A new method was developed for the synthesis of quinoxalines. This method employs N-arylenamines and TMSN3 as the starting materials and implements two oxidative C-N bond-forming processes in a tandem pattern by using (diacetoxyiodo)benzene as the common oxidant. The present reaction conditions are mild and simple and thus are useful in practical synthesis.