Efficacy and Safety Assessment of Intrathoracic Perfusion Chemotherapy Combined with immunological factor Interleukin-2 in the Treatment of Advanced Non-Small Cell Lung Cancer: A Retrospective Cohort Study.

Objective: This study evaluated the efficacy and safety of the gemcitabine and oxaliplatin intrathoracic perfusion chemotherapy (IPCGOR) regimen combined with interleukin-2 (IL-2) for advanced non-small cell lung cancer (NSCLC). Methods: We conducted a retrospective analysis of 460 advanced NSCLC patients from the Yunnan Province Early Cancer Diagnosis and Treatment Project (June 2020-October 2022), assessing the IPCGOR and IL-2 combination. Outcomes were measured based on RECIST 1.1 criteria, focusing on objective response rate (ORR), disease control rate (DCR), median progression-free survival (mPFS), median overall survival (MOS), and treatment safety. Results: The treatment demonstrated an ORR of 67.4%, a DCR of 97.4%, an mPFS of 8.5 months, and an MOS of 12.5 months. 14 patients underwent successful surgery post-treatment. Common adverse reactions were manageable, with no treatment-related deaths reported. Conclusion: The IPCGOR combined with IL-2 regimen shows promising efficacy and a tolerable safety profile for advanced NSCLC. These findings suggest its potential as a reference for treating advanced NSCLC. However, the study's retrospective nature and single-center design pose limitations. Future research should focus on prospective studies, randomized controlled trials, and long-term outcome assessments, particularly in diverse patient subgroups, to further validate and refine the clinical application of this regimen.

Impact of changes in energy structure and industrial structure on green total factor productivity in the context of environmental protection-evidence from China.

To achieve high-quality economic development in the process of promoting the development of China's environment quality, and green economy, green total factor productivity is an important indicator to measure high-quality economic development. Therefore, it is of great significance to study the impact of changes in energy and industrial structure on green total factors. Each specific province in China is taken as the research object, and the green total factor productivity index into green technology efficiency and green technology progress are decomposed in this paper. On the basis of constructing the industrial structure upgrading index and energy structure upgrading index, a fixed-effect model and threshold regression model are used to analyze the influence of industrial structure and energy structure on green total factor productivity and its internal mechanism. Results shows that green total factor productivity, industrial structure and energy structure all show a trend of "continuous rise in small fluctuations," but there is a spatial disequilibrium; the upgrading and optimization of industrial structure and energy structure can effectively promote the improvement of green total factor productivity, and the growth mainly comes from the improvement of green technology progress, not the improvement of green technology efficiency; the impact of the improvement of industrial structure and energy structure on green technology efficiency has a significant nonlinear trend of increasing marginal effect; the upgrading of the industrial structure has a stronger role in promoting green total factor productivity in the central and western regions than in the eastern region; while the optimization of the energy structure has a significant promoting effect on green total factor productivity in the eastern region, but has a certain inhibitory effect on the central and western regions.

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.

Objective assessment of visual attention in orthognathic surgery training based on eye tracking.

The aim of this study was to investigate the differences in visual attention between novices and orthognathic experts, as well as to provide evidence for use in developing and optimizing training strategies for orthognathic surgery. Novice and orthognathic experts were recruited, and their distributions of visual attention were monitored via an eye-tracking device while they watched orthognathic surgery videos. The percentages of visual fixation duration devoted to the areas of interest - surgical objects, instruments controlled by the main surgeon, and instruments controlled by the assistants - in each orthognathic surgery section were analyzed and compared between the two groups using repeated-measures factorial analysis of variance (ANOVA). In total, there were 18 participants, comprising both novices (n = 9) and experts (n = 9). For all sections of orthognathic surgery, the percentage of fixation duration on surgical objects was significantly higher for the novices than for the experts (p = 0.031, p = 0.005, p = 0.026, p = 0.047, p = 0.047, p = 0.031, p = 0.027, p = 0.034, p = 0.008, and p = 0.016). During the maxillary segment separation as part of Le Fort I osteotomy and the splitting of the mandible as part of bilateral sagittal split osteotomy, the novices also had a higher percentage of fixation duration on the instruments controlled by the main surgeon, as compared with the experts (p = 0.007 and p = 0.048, respectively). Novices invested great cognitive effort into the surgical objects in each section of orthognathic surgery, including the instruments controlled by the main surgeon in the maxillary segment separation and the splitting of the mandible. Strengthening this aspect of instruction could help novices reduce their cognitive load and achieve mastery more efficiently.

TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment.

The goal of objective point cloud quality assessment (PCQA) research is to develop quantitative metrics that measure point cloud quality in a perceptually consistent manner. Merging the research of cognitive science and intuition of the human visual system (HVS), in this paper, we evaluate the point cloud quality by measuring the complexity of transforming the distorted point cloud back to its reference, which in practice can be approximated by the code length of one point cloud when the other is given. For this purpose, we first make space segmentation for the reference and distorted point clouds based on a 3D Voronoi diagram to obtain a series of local patch pairs. Next, inspired by the predictive coding theory, we utilize a space-aware vector autoregressive (SA-VAR) model to encode the geometry and color channels of each reference patch with and without the distorted patch, respectively. Assuming that the residual errors follow the multi-variate Gaussian distributions, the self-complexity of the reference and transformational complexity between the reference and distorted samples are computed using covariance matrices. Additionally, the prediction terms generated by SA-VAR are introduced as one auxiliary feature to promote the final quality prediction. The effectiveness of the proposed transformational complexity based distortion metric (TCDM) is evaluated through extensive experiments conducted on five public point cloud quality assessment databases. The results demonstrate that TCDM achieves state-of-the-art (SOTA) performance, and further analysis confirms its robustness in various scenarios. The code will be publicly available at https://github.com/zyj1318053/TCDM.

GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network.

With the rapid development of 3D vision, point cloud has become an increasingly popular 3D visual media content. Due to the irregular structure, point cloud has posed novel challenges to the related research, such as compression, transmission, rendering and quality assessment. In these latest researches, point cloud quality assessment (PCQA) has attracted wide attention due to its significant role in guiding practical applications, especially in many cases where the reference point cloud is unavailable. However, current no-reference metrics which based on prevalent deep neural network have apparent disadvantages. For example, to adapt to the irregular structure of point cloud, they require preprocessing such as voxelization and projection that introduce extra distortions, and the applied grid-kernel networks, such as Convolutional Neural Networks, fail to extract effective distortion-related features. Besides, they rarely consider the various distortion patterns and the philosophy that PCQA should exhibit shift, scaling, and rotation invariance. In this paper, we propose a novel no-reference PCQA metric named the Graph convolutional PCQA network (GPA-Net). To extract effective features for PCQA, we propose a new graph convolution kernel, i.e., GPAConv, which attentively captures the perturbation of structure and texture. Then, we propose the multi-task framework consisting of one main task (quality regression) and two auxiliary tasks (distortion type and degree predictions). Finally, we propose a coordinate normalization module to stabilize the results of GPAConv under shift, scale and rotation transformations. Experimental results on two independent databases show that GPA-Net achieves the best performance compared to the state-of-the-art no-reference PCQA metrics, even better than some full-reference metrics in some cases. The code is available at: https://github.com/Slowhander/GPA-Net.git.

Inflection-Point Nutrition Support Determined by Oral Mucosal Apoptosis Rate Is a Novel Assessment Strategy for Personalized Nutrition: A Prospective Cohort Study.

BACKGROUND: Energy intake and nutritional status influences a patient's recovery from major abdominal surgery. The aim of this study is to explore and validate the clinical feasibility of an inflection-point nutrition strategy for personalized nutrition in gastric cancer patients after surgery. METHODS: We conducted a prospective cohort study from a single tertiary referral hospital. Patients diagnosed with gastric cancer who met the inclusion criteria were included in this study. We collected the demographic and clinic pathological characteristics of included patients. Patients were divided into a formular nutrition (FN) and inflection-point nutrition (IPN) group. We monitored the perioperative dynamics of the oral mucosal epithelia cell apoptosis rate. Predictive factors for inflection phenomenon were investigated in univariate and multivariate analysis. RESULTS: A total of 53 gastric cancer patients were included. A total of 30 (56.6%) patients showed the inflection phenomenon, with 9 (34.6%) patients in the FN group and 21 (77.8%) patients in the IPN group, respectively. We found that patients with the inflection phenomenon had a shorter duration of hospital stay compared to patients without the inflection phenomenon (p = 0.04). In multivariate analysis, independent predictive factors for inflection phenomenon were age (p = 0.015), operation time ≤ 300 min (p = 0.012), and average energy intake ≥ 25 Kcal/kg/day (p = 0.038). CONCLUSIONS: Our findings for the first time revealed that the oral epithelial cell apoptosis rate can promptly reflect the patients' perioperative nutrition needs. Meanwhile, we developing a novel and feasible nutrition therapy guided by the oral epithelial cell apoptosis rate is novel in gastric cancer patients that have undergone laparoscopic gastrectomy.

Evaluation of regional sustainability through emergy analysis: a case study of nine cities in the Yellow River Basin of China.

The Yellow River is an important ecological shelter zone and economic belt in China. However, rapid urbanization and industrialization has produced a fragile ecological environment conditions and unbalanced economic development in the Yellow River Basin (YRB). Ecological protection and high-quality development of the YRB has been China's national strategy since 2019. As the only coastal province with the largest economy and population in the YRB, the sustainable development of Shandong Province is of great importance in the region. This study evaluated the dynamic trend of sustainability levels of the nine cities in Shandong Province in the YRB through emergy analysis. Emergy-based indicators were established and analyzed from 2010 to 2019, taking account of the ecological service emergy (ESE) needed to dilute pollutants and emergy equivalent loss (EEL) on ecosystem quality and human health damage. Results showed that emergy sustainable indicators (ESI) in Tai'an, Heze, Dezhou, and Liaocheng ranged from 1 to 10, which had the potential for sustainable development. The ESI value of Jinan, Jining, Zibo, Dongying, and Binzhou was less than 1, which indicated that these cities were under great ecological pressure. The value of emergy indicators for sustainable development (EISD) of the nine cities all declined from 2010 to 2016, but remained stable from 2017 to 2019. Based on findings from the emergy analysis regarding policy implications and local conditions, the study concludes by providing proposals to improve regional sustainability.

Characterizing the Complete Mitochondrial Genome of Arma custos and Picromerus lewisi (Hemiptera: Pentatomidae: Asopinae) and Conducting Phylogenetic Analysis.

We characterized the mitochondrial genome (mitogenome) and conducted phylogenetic analyses of 48 Hemiptera species by sequencing and analyzing the mitogenome of Arma custos (Fabricius) and Picromerus lewisi (Scott). The complete mitogenomes of the two predators were 16,024 bp and 19,587 bp in length, respectively, and it contained 37 classical genes, including 13 protein-coding genes (PCGs), 2 ribosomal RNA genes (rRNAs), and 22 transfer RNA genes (tRNAs), and a control region. Most PCGs in these predators use ATN as the start codon. This research revealed that the genes of the two natural enemy species have an A + T content of 75.40% and all tRNAs have a typical cloverleaf structure, with the exception of trnS1, which lacks a dihydrouridine arm. This is the first study to compare the mitochondrial genetic structure of two predatory insects; the mitochondrial genetic structure of individual predatory insects has been sequenced in previous studies. Here, phylogenetic analysis on the basis of amino acid and nucleotide sequences of 13 mitochondrial PCGs using Bayesian inference and maximum likelihood methods were conducted to generate similar tree topologies, which suggested that the two predators with close genetic relationships belong to Asopinae subfamily. Furthermore, the monophyly of the Pentatomoidea superfamily is well accepted despite limited taxon and species sampling. Finally, their complete mitogenome provided data to establish a predator-prey food web, which is the foundation of effective pest management. Our results also enhanced the database of natural enemy insects.

Impact of financial inclusion and green bond financing for renewable energy mix: implications for financial development in OECD economies.

The study aims to empirically estimate the nexus of green bond financing with renewable energy index OECD countries. Using the OECD countries data over the period of the 2011-2019, the study estimated the nexus between constructs. To justify the study findings and present widespread policy implications on recent topicality Padroni unit root test, FMOLS and DOLS technique is applied. For robustness analysis, long-run sensitivity analysis using FMOLS extension is used, and a comparative picture of green bond financing nexus with renewable energy index is presented. The study presented the consistent effects of green bond financing on renewable energy index indicators. This asymmetrical role of green bonds is confirmed on renewable energy indicators over the sample period. OECD countries injected 31% role of green bond financing on renewable energy index constructs, and it raised 9.4% of per unit energy efficiency in renewable energy systems; by this, the study findings warrant maximum support through public office, energy ministries, and departments for energy efficiency optimization. The study presents multiple policy implications to enhance renewable energy generation for energy efficiency through different alternative sources. Despite growing literature, the empirical discussion on this topicality is still shattered and less studied, which is extended and contributed by recent research. Furthermore, efficient regulation in the renewable energy sector may convert financial uncertainty into a huge opportunity. Investing in renewable energy stocks might help investors diversify their portfolios.

Evaluation and optimization of a circular economy model integrating planting and breeding based on the coupling of emergy analysis and life cycle assessment.

The sustainable development of agriculture is facing problems such as high resource consumption and serious environmental pollution. The development of the circular economy model integrating planting and breeding (CEMIPB) has become an effective way to realize the sustainable development of agriculture. Due to the great difference of natural resource attributes in different regions of China, CEMIPB shows diverse characteristics on the whole. Based on this, this paper constructs a coupling model based on emergy analysis (EMA) and life cycle assessment (LCA) called EM-LCA model and conducts an empirical analysis using a typical CEMIPB in Fujian Province, China, as a case. By comparing the results of the EM-LCA and EMA models, the former effectively compensates for the deficiencies of the latter in terms of economic and environmental impact assessment, and the evaluation results can better reflect the actual situation of the system. Furthermore, sensitivity analysis is introduced to identify key processes and substances. Based on the reduce-reuse-recycle (3R) principle, several optimization suggestions, such as reducing the input of corn and veterinary drugs, are put forward. The construction of the aforementioned methodology system can provide a new perspective for research in similar fields and provide a scientific basis for local government decision making.

Inter-regional economic spillover and carbon productivity embodied in trade: empirical study from the Pan-Yangtze River Delta Region.

How to promote the carbon productivity embodied in trade and regional balanced development has become the focus of attention to combat climate change and improve regional management. Taking the Pan-Yangtze River Delta region for example and based on the input-output model, this paper explored the relationship between inter-industry economic spillover and embodied carbon productivity in trade from 2007 to 2012. Results indicated that the intra-regional multiplier effect presented a slow downward trend during the studied period, while the trend in the inter-regional integration was intensifying. Moreover, the multiplier effect of the lower reaches of the Yangtze River was relatively lower than that of the middle reaches. Owing to the geographical location and industrial structure, the industries in the middle reaches of the Yangtze River were strongly correlated. In addition, the regional multiplier effect was mostly concentrated in industries with high carbon emission intensity. The economic spillovers between regions showed a growing trend from 2007 to 2012, indicating that regional economic integration was further strengthened, and the economic spillovers in the Yangtze River Delta region were significantly higher than those in the middle reaches. Furthermore, from the perspective of embodied carbon productivity in trade, most of Shanghai's carbon productivity to other regions was mostly less than 10,000 Yuan per ton, which means Shanghai had little demand for intermediate products of other regions, and inter-regional trade between Shanghai and other regions brought less total output and more environmental pollution to other regions, while Shanghai obtained more total output through trade. As embodied carbon productivity in trade in Jiangsu and Zhejiang was more than 10,000 Yuan per ton, Jiangsu and Zhejiang had played an important role in realizing the coordinated development of low carbon in the Pan-Yangtze River Delta. In particular, for Anhui and Jiangxi, embodied carbon productivity in the Yangtze River Delta region was relatively low. Therefore, in order to achieve green, coordinated, and high-quality economic development in the Pan-Yangtze River Delta region, Anhui and Jiangxi should not only strengthen regional cooperation with Shanghai, Zhejiang, and Jiangsu, but also they should avoid regional zero-sum game competition in regional climate policy. In other words, for policy-makers in the Pan-Yangtze River Delta, promoting the deep integration of industrial chain and regional coordinated development, and thus, improving carbon productivity during the regional development process, should receive more attention.

A review of atmospheric benzene homologues in China: Characterization, health risk assessment, source identification and countermeasures.

Benzene homologues are important chemical precursors to the formation of ground-level ozone and secondary organic aerosol (SOA) in the atmosphere, in addition, some toxic species are harmful to human health. Strict countermeasures have been taken to fight air pollution since 2013, and total amount control of volatile organic compounds is being promoted in China at present. Therefore, it is important to understand the pollution situation and the control status of ambient benzene homologues in China. This paper reviews research progress from published papers on pollution characteristics, atmospheric photochemical reactivity, health risk assessment and source identification of ambient benzene homologues in recent years in China, and also summarizes policies and countermeasures for the control of ambient benzene homologues and the relevant achievements. The total ambient levels of benzene, toluene, ethylbenzene and xylenes (BTEX) shows a declining tendency from 2001 to 2016 in China. The mass concentrations of BTEX are generally higher in southern regions than in northern regions, and they present vertical decreasing variation characteristics with increasing altitude within the height range of about 5500 m. Toluene has the highest ozone formation potential and SOA formation potential both in urban areas and background areas, while benzene poses an obvious carcinogenic risk to the exposed adult populations in urban areas. Source identification of ambient benzene homologues suggested that local governments should adopt differentiated control strategies for ambient benzene homologues. Several recommendations are put forward for future research and policy-making on the control of ambient benzene homologues in China.

Pollution characteristics and health risk assessment of benzene homologues in ambient air in the northeastern urban area of Beijing, China.

Ambient benzene homologues were measured at a site in the northeastern urban area of Beijing, China, from August 24 to September 4, 2012 by SUMMA canister sampling followed by laboratory determination using cryogenic cold trap pre-concentration-GC-MS/FID, and their health risks were also assessed. Daily total benzene homologues ranged from 0.99 to 49.71 microg/m3 with an average of 11.98 microg/m3. Benzene homologues showed higher concentrations in the morning and evening than that at noontime. Comparison with previous studies revealed a trend of decrease for ambient benzene homologues probably due to the effective emission control in Beijing in recent years. Vehicular exhaust was the main source while volatilization of paints and solvents also made substantial contributions. Health risk assessment showed that BTEX (benzene, toluene, ethylbenzene, o-xylene, m-xylene and p-xylene) and styrene had no appreciable adverse non-cancer health risks for the exposed population, while benzene has potential cancer risk of 1.34E-05. Available data from cities in China all implied that benzene imposes relatively higher cancer risk on the exposed populations and therefore strict control measures should be taken to further lower ambient benzene levels in China.