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Out of 641 patients, 106 patients (17%) experienced grade ≥3 irAEs. None of the analysed factors were associated with grade ≥3 irAE occurrence in the monotherapy (n=550) or the combination therapy (n=91) groups, nor in the subgroup analyses. Of interest, none of the patients with NSCLC with a WHO performance status of 0 (n=34) experienced grade ≥3 irAEs. Most common NSCLC histology types were adenocarcinoma (n=99/55%) and squamous cell carcinoma (n=39/22%).

This study shows that patient and disease characteristics are not able to predict the occurrence of serious AEs in patients treated with ICIs.

This study shows that patient and disease characteristics are not able to predict the occurrence of serious AEs in patients treated with ICIs.

First-line palliative chemotherapy regimens in advanced pancreatic ductal adenocarcinoma (PDAC) have not been compared in head-to-head phase III randomised controlled trials (RCT). Data on optimum first-line treatment and subsequent sequencing is lacking.

To compare overall survival (OS) between first-line treatment regimens in a real-world population to determine if an optimal therapeutic sequence is associated with survival benefit.

A retrospective analysis of prospectively collated data from the Australasian PURPLE pancreatic cancer registry was undertaken.

From 2016 to 2020, of 1551 pancreatic cancer patients, 615 received palliative-intent chemotherapy. Patients with early-stage resected disease without recurrence (n=369), radiotherapy alone (n=43), received supportive care alone (n=458) or had less than 3 months follow-up (n=66) were excluded. Median OS was comparable between patients receiving first-line Gemcitabine/Nab-Paclitaxel (n=376) and those receiving FOLFIRINOX (n=73) (11.3 versus 12.3 s receiving FOLFIRINOX being younger, fitter, and more likely to have localised disease. However, FOLFIRINOX was associated with delayed progression. In the absence of phase III RCT data, clinicians should be comfortable using either Gemcitabine/Nab-Paclitaxel or FOLFIRINOX as first-line therapy in advanced PDAC.Rivers play a vital role in both the formation and maintenance of riparian wetland hydrology. However, few studies have focused on the response of water recharge of riparian wetlands to altered hydrological processes induced by water-sediment regulation practices. To fill this gap, our study investigated the contribution of multi-source water recharge of riparian wetlands in the lower Yellow River, as well as its influence both during and before the water-sediment regulation scheme of Xiaolangdi Dam. Our study is based on hydrochemistry and isotopic methods, using a Bayesian mixing model and artificial neutral network model. The results showed that riparian wetlands were fed by mixed sources, including groundwater, canals, the Yellow River, and precipitation. However, seasonal evaporation introduced additional variation, which affected the relative contribution of these sources across seasons. Among these sources, the Yellow River served as the main water source for recharging riparian wetlands, and its contribution varied both spatially and temporally (across seasons). Specifically, proximity of riparian wetlands was the primary factor explaining spatial variation in the contribution of Yellow River, while climatic (12.38%) and hydrological variabilities (87.62%) explained seasonal variation. Among these climatic and hydrological variables, suspended sediment content was the most important factor-with a relative contribution of 36.33%. By determining the contribution of the Yellow River to the recharge of riparian wetlands, our study has provided information which is beneficial to adaptive management of river-fed riparian wetlands, especially under the implementation of water-sediment regulation practices.Traditional blue water resources assessment and management may not meet the needs of sustainable water resource utilization; ignoring the number of green water resources will underestimate the availability of water resources. To rationally allocate and scientifically manage the limited water resources, it is necessary to divide the rich and poor flow situation of blue water and green water. The MIKE SHE-MIKE HYDRO integrated coupled model was selected and used in the Yalong River basin to ascertain the blue and green water in the hydrological cycle. The model was calibrated by matching simulated discharge against observed streamflow discharge at the Tongziling Station. At the same time, the research analyzed the component of green water and the total amount of blue water or green water on a temporal scale. The set pair analysis (SPA) was introduced to classify blue water and green water, which can not only understand the amount and distribution characteristics of water resources in the Yalong River Basin but also rationally allocate the total of water resources in the basin from the perspective of the regional water cycle. Furthermore, according to the situation of blue water and green water in the basin, the related policies are formulated to realize the efficient utilization of water resources in the Yalong River basin.The development of waste-derived sorbents to immobilize potentially toxic elements (PTEs) is a promising strategy, contributing to the achievement of sustainable development goals (SDGs). Therefore, this study aimed to assess the sorption performance of cadmium (Cd), lead (Pb) and zinc (Zn), comparing sorbents derived from organic fraction of municipal solid waste (composts and biochars) with peat. The physicochemical characterization, equilibrium of sorption, post-sorption analyzes and bioaccessibility were investigated. Results showed that the sorbents have distinct characteristics; however, each material have their particularities favorable to sorption. For instance, peat and composts have the highest cation exchange capacity (800-1100 mmolc kg-1), while biochar produced at 700 °C has the highest specific surface area (91.21 m2 g-1). The sorption equilibrium data revealed the actual sorption capacity and was well explained by the Freundlich and Langmuir isotherms and, in some cases, by the Dubinin-Radushkefindings indicate that these assays, still little used in experiments with sorbents, are an important tool that should be better explored in the assessment of the environmental risk associated with contamination.Factors driving community recovery trajectories after disaster are not well understood. We assess why some communities show stronger recoveries from disaster than others, examining the role of four policy toolkits that U.S. county governments frequently adopt to recover from disaster. Using mixed methods, we examine the cases of Hurricanes Katrina and Rita with a novel dataset of recovery policies adopted within each Louisiana parish following the disasters. KN-62 We typologize recovery strategies and analyze policy adoption patterns after crises. To compare which policy toolkit leads to the best recovery outcomes, we use synthetic control experiments on the 20 parishes hit by Hurricanes Katrina and Rita between August and September 2005, tracking net income inflow and net in-migration measures from 1997 to 2018 over 1408 parish-year observations, paired with qualitative case studies of parish policies and recovery outcomes. On average, soft and local recovery policies focused on community policies and feedback helped parishes stem the flow of finances away from the disaster-zone, as did infrastructural 'hard' policies, to a degree. in comparison, state policies focused on top-down planning experienced weaker recovery. Evidence shows that soft and local policy toolkits can accelerate recovery and that governments seeking to rebuild infrastructure should invest in locally-engaged community development in order to attain better overall recovery.In this study, the salt-tolerant aerobic granular sludge (SAGS) was cultivated with the increased salinity (0-9% NaCl), showing oval shape, and clear outline. The related sludge characteristics in the formation process of SAGS as well as the effects of salinity on the performance (removal ability, sludge biomass and EPS component) of SAGS were evaluated. Increased salinity accelerated the formation of SAGS, and resulted in the excess secretion of EPS. Relationship between EPS and settling capacity of SAGS was determined, with the increase of salinity, SVI decreased linearly and the sedimentation performance of granular sludge was enhanced. Pearson correlation analysis showed that shorter settling time (3 min) and longer anaerobic influent time (30 min) were beneficial to the operation of SAGS reactor. Metagenomics results showed that the SAGS was dominated by Candida, Halomonas and other salt-tolerant bacteria, the enrichment of these salt-tolerant microbes played an important role in maintaining the stability of granular sludge system and improving the overall salt-tolerant performance. Compared with S9 samples, the proteome regulation in S0 sample was more active and the abundance of Cell motility related proteins was 5 times higher than that in S9 samples. Extracellular structure related proteins was more active in S9, and its abundance was 3.6 times that of S0.Biological hydrogen production using palm oil mill effluent (POME) as a carbon source through dark fermentation process has been suggested to be a promising bioenergy potential and enacts as alternative renewable energy source. Results have indicated that among various 1.5% (w/v) chemical pre-treatments (sodium hydroxide, NaOH; hydrochloric acid, HCl; sulphuric acid, H2SO4; phosphoric acid, H3PO4 and nitric acid, HNO3) on POME, using H3PO4 would generate maximum biohydrogen production of 0.193 mmol/L/h, which corresponded to a yield of 1.51 mol H2/mol TCconsumed with an initial total soluble carbohydrate concentration of 23.52 g/L. Among H3PO4 concentrations (1%-10%), the soluble carbohydrate content and the biohydrogen produced was highest and increased by 1.70-fold and 2.35-fold respectively at 2.5% (w/v), as compared to untreated POME. The batch fermentation maximum hydrogen production rate and yield of 0.208 mmol/L/h and 1.69 mol H2/mol TCconsumed were achieved at optimum pre-treatment conditions of pH 5.5 and thermophilic temperature (60 °C). This study suggests that chemical pre-treatment approaches manage to produce and improve the carbohydrate utilisation process further. Continuous fermentation in CSTR at the optimum conditions produce heightened 1.5-fold biohydrogen yield for 2.5% H3PO4 at 6 h HRT as compared to batch scale. Bacterial community via next-generation sequencing analysis at optimum HRT (6 h) revealed that Thermoanaerobacterium thermosaccharolyticum registered the highest relative frequency of 20.24%. At the class level, Clostridia, Bacilli, Bacteroidia, Thermoanaerobacteria, and Gammaproteobacteria were identified as the biohydrogen-producing bacteria in the continuous system. Insightful findings from this study suggest the substantial practical utility of dilute chemical pre-treatment in improving biohydrogen production.Coastal water quality assessment is an essential task to keep "good water quality" status for living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool to assess water quality but this technique has received much criticism due to the model's reliability and inconsistence. The present study used a recently developed improved WQI model for calculating coastal WQIs in Cork Harbour. The aim of the research is to determine the most reliable and robust machine learning (ML) algorithm(s) to anticipate WQIs at each monitoring point instead of repeatedly employing SI and weight values in order to reduce model uncertainty. In this study, we compared eight commonly used algorithms, including Random Forest (RF), Decision Tree (DT), K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), Extra Tree (ExT), Support Vector Machine (SVM), Linear Regression (LR), and Gaussian Naïve Bayes (GNB). For the purposes of developing the prediction models, the dataset was divided into two groups training (70%) and testing (30%), whereas the models were validated using the 10-fold cross-validation method.