Radiological assessment of immunotherapy effects and immune checkpoint-related pneumonitis for lung cancer.

Immune checkpoint inhibitors (ICIs) therapy have revolutionized advanced lung cancer care. Interestingly, the host responses for patients received ICIs therapy are distinguishing from those with cytotoxic drugs, showing potential initial transient worsening of disease burden, pseudoprogression and delayed time to treatment response. Thus, a new imaging criterion to evaluate the response for immunotherapy should be developed. ICIs treatment is associated with unique adverse events, including potential life-threatening immune checkpoint inhibitor-related pneumonitis (ICI-pneumonitis) if treated patients are not managed promptly. Currently, the diagnosis and clinical management of ICI-pneumonitis remain challenging. As the clinical manifestation is often nonspecific, computed tomography (CT) scan and X-ray films play important roles in diagnosis and triage. This article reviews the complications of immunotherapy in lung cancer and illustrates various radiologic patterns of ICI-pneumonitis. Additionally, it is tried to differentiate ICI-pneumonitis from other pulmonary pathologies common to lung cancer such as radiation pneumonitis, bacterial pneumonia and coronavirus disease of 2019 (COVID-19) infection in recent months. Maybe it is challenging to distinguish radiologically but clinical presentation may help.

The Chinese media narrative of Thailand as a tourist destination after the legalisation of cannabis.

This study explores the Chinese media narrative of Thailand as a tourist destination after Thailand legalised cannabis use for medicinal purposes, using framing and social identity theories. A content analysis was performed by three coders on 128 posts obtained between 2019 and 2022 from four media houses on the Chinese social media platform Weibo: Taiguo.com, Taihuabbs, Vision Thai, and The Sing Sian Media. The first three are Chinese media houses, and the fourth is a Chinese-language newspaper in Bangkok. The results revealed that the Chinese media's framing of the legalisation of cannabis use in Thailand was mainly neutral. In contrast, Chinese netizens' comments showed a negative perception of Thailand as a travel destination after the legalisation of cannabis use. In addition, the study identified the different themes and aspects of narrating, news sources, and media types used to present the information. The implications of these findings highlight the need for the Thai government to develop effective policies and communication strategies to address negative perceptions and promote Thailand as a safe and attractive destination for tourists. The study also suggests the importance of considering cultural and social factors when crafting communication strategies, particularly for sensitive topics such as cannabis use.

[Evaluation and Screening of Dioxin Control Technology in Waste Incineration Flue Gas].

To determine the best control technology for dioxin in waste incineration flue gas, a three-level comprehensive evaluation index system with environment, economy, and technology as the first-level indexes was constructed. The fuzzy comprehensive evaluation method and the analytic hierarchy process (AHP) were used to evaluate ten dioxin pollution control technologies or technology groups including "double bag activated carbon adsorption technology," "sulfur and sulfide inhibition technology," and "sulfur and sulfide inhibition technology+activated carbon fixed bed reactor technology". The "sulfur and sulfur compound inhibition technology+activated carbon fixed bed technology" scored the highest, and thus is currently the best control technology for dioxin pollution in waste incineration exhaust gas. This technology is suitable for small rural waste incinerators to ensure that dioxin emissions meet the standards. Depending on the local economic development level, enterprise scale, furnace profile, and technological process, waste incineration enterprises in various regions of China can adopt this index evaluation system and method to evaluate the dioxin control technologies and select the best one suitable for the enterprise so that dioxin emissions in the waste incineration flue gas can be effectively controlled.

Evaluation of health benefit using BenMAP-CE with an integrated scheme of model and monitor data during Guangzhou Asian Games.

Guangzhou is the capital and largest city (land area: 7287 km(2)) of Guangdong province in South China. The air quality in Guangzhou typically worsens in November due to unfavorable meteorological conditions for pollutant dispersion. During the Guangzhou Asian Games in November 2010, the Guangzhou government carried out a number of emission control measures that significantly improved the air quality. In this paper, we estimated the acute health outcome changes related to the air quality improvement during the 2010 Guangzhou Asian Games using a next-generation, fully-integrated assessment system for air quality and health benefits. This advanced system generates air quality data by fusing model and monitoring data instead of using monitoring data alone, which provides more reliable results. The air quality estimates retain the spatial distribution of model results while calibrating the value with observations. The results show that the mean PM2.5 concentration in November 2010 decreased by 3.5 µg/m(3) compared to that in 2009 due to the emission control measures. From the analysis, we estimate that the air quality improvement avoided 106 premature deaths, 1869 cases of hospital admission, and 20,026 cases of outpatient visits. The overall cost benefit of the improved air quality is estimated to be 165 million CNY, with the avoided premature death contributing 90% of this figure. The research demonstrates that BenMAP-CE is capable of assessing the health and cost benefits of air pollution control for sound policy making.

A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China.

This article describes the development and application of a streamlined air control and response modeling system with a novel response surface modeling-linear coupled fitting method and a new module to provide streamlined model data for PM2.5 attainment assessment in China. This method is capable of significantly reducing the dimensions required to establish a response surface model, as well as capturing more realistic response of PM2.5 to emission changes with a limited number of model simulations. The newly developed module establishes a data link between the system and the Software for Model Attainment Test-Community Edition (SMAT-CE), and has the ability to rapidly provide model responses to emission control scenarios for SMAT-CE using a simple interface. The performance of this streamlined system is demonstrated through a case study of the Yangtze River Delta (YRD) in China. Our results show that this system is capable of reproducing the Community Multi-Scale Air Quality (CMAQ) model simulation results with maximum mean normalized error<3.5%. It is also demonstrated that primary emissions make a major contribution to ambient levels of PM2.5 in January and August (e.g., more than 50% contributed by primary emissions in Shanghai), and Shanghai needs to have regional emission control both locally and in its neighboring provinces to meet China's annual PM2.5 National Ambient Air Quality Standard. The streamlined system provides a real-time control/response assessment to identify the contributions of major emission sources to ambient PM2.5 (and potentially O3 as well) and streamline air quality data for SMAT-CE to perform attainment assessments.

A Simple Liquid Chromatography Tandem Mass Spectrometry Method for Quantitation of Plasma Busulfan.

Busulfan is an alkylating agent widely used in the ablation of bone marrow cells before hematopoietic stem cell transplant. Due to large intraindividual and interindividual variations, and narrow therapeutic window, therapeutic drug monitoring of busulfan is warranted. A quick and reliable HPLC-MS/MS method was developed for the assay of plasma busulfan. HPLC involved C18 column, and MS/MS was used in electrospray ionization (ESI) positive mode. Quantitation and identification of busulfan was made using various multiple reactions monitoring (MRMs). Isotopic labeled busulfan-d8 was used as the internal standard. The method is linear from 50 to 2500 ng/mL and has with-in run and between-run imprecision of <10 %.

Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3.

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test-Community Edition (SMAT-CE) is developed for demonstrating attainment of air quality standards of O3 and PM2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards (NAAQS) shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM2.5 and 8-hour O3 for a proposed emission control policy.

Development and case study of a science-based software platform to support policy making on air quality.

This article describes the development and implementations of a novel software platform that supports real-time, science-based policy making on air quality through a user-friendly interface. The software, RSM-VAT, uses a response surface modeling (RSM) methodology and serves as a visualization and analysis tool (VAT) for three-dimensional air quality data obtained by atmospheric models. The software features a number of powerful and intuitive data visualization functions for illustrating the complex nonlinear relationship between emission reductions and air quality benefits. The case study of contiguous U.S. demonstrates that the enhanced RSM-VAT is capable of reproducing the air quality model results with Normalized Mean Bias <2% and assisting in air quality policy making in near real time.