Effects of coastal saline-alkali soil on rhizosphere microbial community and crop yield of cotton at different growth stages

Soil salinization is a global constraint that significantly hampers agricultural production, with cotton being an important cash crop that is not immune to its detrimental effects. The rhizosphere microbiome plays a critical role in plant health and growth, which assists plants in resisting adverse abiotic stresses including soil salinization. This study explores the impact of soil salinization on cotton, including its effects on growth, yield, soil physical and chemical properties, as well as soil bacterial community structures. The results of β-diversity analysis showed that there were significant differences in bacterial communities in saline-alkali soil at different growth stages of cotton. Besides, the more severity of soil salinization, the more abundance of Proteobacteria, Bacteroidota enriched in rhizosphere bacterial composition where the abundance of Acidobacteriota exhibited the opposite trend. And the co-occurrence network analysis showed that soil salinization affected the complexity of soil bacterial co-occurrence network. These findings provide valuable insights into the mechanisms by which soil salinization affects soil microorganisms in cotton rhizosphere soil and offer guidance for improving soil salinization using beneficial microorganisms

Correction: Novel aerosol treatment of airway hyper-reactivity and inflammation in a murine model of asthma with a soluble epoxide hydrolase inhibitor.

[This corrects the article DOI: 10.1371/journal.pone.0266608.]

Deaths and adverse events from adjuvant therapy with immune checkpoint inhibitors in solid malignant tumors: A systematic review and network meta‐analysis

Abstract Background By prolonging overall survival and reducing disease recurrence rates, immune checkpoint inhibitors (ICIs) are an emerging adjuvant therapy option for patients with resectable malignant tumors. However, the safety profile (deaths and adverse events [AEs]) of adjuvant ICIs has not been fully described. Methods We searched the literature for phase III randomized clinical trials that compared PD‐1, PD‐L1, and CTLA‐4 inhibitors in solid malignant tumors. Incidences of death, discontinuation, AEs of any cause, treatment‐related adverse events (TRAEs), and immune‐related adverse events (IRAEs) were extracted for the network meta‐analysis. Network meta‐analyses with low incidence and poor convergence are reported as incidences with 95% confidence intervals (95% CIs). Results Ten randomized clinical trials that included 9243 patients who received ICI adjuvant therapy were eligible. In total, 21 deaths due to TRAEs were recorded, with an overall incidence of 0.40% (95% CI: 0.26–0.61). The treatment‐related mortality rates for ipilimumab (0.76%, 95% CI: 0.31–1.55) and atezolizumab (0.56%, 95% CI: 0.18–1.31) were higher than for pembrolizumab (0.24%, 95% CI: 0.10–0.56) and nivolumab (0.30%, 95% CI: 0.08–0.77). The most frequent causes of death were associated with the gastrointestinal (0.10%, 95% CI: 0.04–0.24) and pulmonary (0.08%, 95% CI: 0.03–0.21) systems. Compared with the control arm, we found that nivolumab (odds ratio [OR]: 2.73, 95% CI: 0.49–15.85) and atezolizumab (OR: 12.43, 95% CI: 2.42–78.48) caused the fewest grade ≥3 TRAEs and IRAEs. Commonly reported IRAEs of special interest were analyzed, and two agents were found to have IRAEs with incidences >10%, i.e., hepatitis for atezolizumab (14.80%, 95% CI: 12.53–17.32) and hypophysitis for ipilimumab (13.53%, 95% CI: 11.38–15.90). Conclusions Ipilimumab and atezolizumab were correlated with higher treatment‐related death rates than pembrolizumab and nivolumab, in which the gastrointestinal and pulmonary systems were mostly involved. Regarding severe TRAEs and IRAEs, nivolumab and atezolizumab are likely to be the safest agent, respectively. This study will guide clinical practice for ICI adjuvant therapies

Rebuilding the linkage between livestock and cropland to mitigate agricultural pollution in China

An increasing disconnect between livestock production and croplands has been observed in many world regions, including China, which has the world’s largest livestock production sector. Here we propose a cropland-based livestock production system to rebuild the linkage between livestock and cropland from both agriculture production and human consumption perspectives for China. In 2015, the total excretion nitrogen (N) generated by livestock production operations was 14.6 Tg N, and it would grow to 15.0 Tg in 2030 by extrapolating current trends. The optimal demand of total N by crops in China was estimated to be 23.0 Tg N in 2030, suggesting that Chinese livestock would be within the carrying capacity of cropland on national level, but substantial variations were found across provinces. The carrying capacity of cropland with regard to N input from manure would be exceeded in 74% provinces, under the assumption that manure providing half of the N supply for crops. Furthermore, from the perspective of domestic feed supply for livestock production, about 51% of feed N needs to be imported. If following the optimized dietary structure of China to manage livestock sector, livestock production could be reduced by 37% in excretion nitrogen, which would not only benefit the food security and human health, but also mitigate the agricultural pollution. Accordingly, policy regulations on reduction and spatially reallocation of livestock production on a regional scale could substantially reduce manure N loss from 10.5 Tg yr−1 to 1–1.2 Tg yr−1 under different recoupled scenarios

An astronomical time scale of early Pliocene from the Mediterranean Sea, Egypt

Pliocene diachronism and mismatches between planktic foraminifera and nannofossil bioevents are clearly observed in the Mediterranean Sea. Hence, astronomical tuning combined with calcareous nannofossils and plankton foraminiferal biozones constitutes one of the important tools for regional correlation between different paleolatitudes. Consecutive and high-resolution well logs from the Sapphire-Dd borehole in the Mediterranean contributed a vital role in exploring the astronomically forced sedimentation in Pliocene strata. A detailed cyclostratigraphic analysis is applied to the natural gamma-ray spectrum logging data that is used as a paleoenvironmental and paleoclimatic proxy to construct a floating astronomical time scale (ATS) for the first time in Egypt. The results show that the hierarchy of sedimentary cycles with a ratio of ~20 : 5 : 2 : 1 in the Kafr EI Sheikh Formation can be interpreted as Milankovitch cycles of eccentricity, obliquity, and precession cycles, respectively. The ATS is established by tuning the Gamma Ray log to the target curves of the insolation of the La2004 solution based on the biozones time framework of the Sapphire-Dd core, which indicates the highest occurrence (HO) of calcareous nannofossils Sphenolithus verensis at 4.03 Ma, the HO of Triquetrorhabdulus rugosus at 5.24 Ma, the highest common occurrence at 4.093 Ma; and the lowest common occurrence of planktic foraminifera Globorotalia margaritae at 5.1 Ma, respectively. The new time scale yields more reliable age constraints on the evolution of paleoclimate and paleoenvironment in southeastern Mediterranean area since the Pliocene

Impact of Derived Features from the Controlled Environment Agriculture Scenarios on Energy Consumption Prediction Model

The high energy consumption CEA building brings challenges to the management of the energy system. An accurate energy consumption prediction model is necessary. Although there are various prediction methods, the prediction method for the particularity of CEA buildings is still a gap. This study proposes some derived features based on the CEA scenarios to improve the accuracy of the model. The study mainly extracts the time series and logical features from the agricultural calendar, the botanical physiological state, building characteristics, and production management. The time series and logical features have the highest increase of 2.8% and 3.6%, respectively. In addition, four automatic feature construction methods are also used to achieve varying degrees of influence from −9% to 8%. Therefore, the multiple feature extraction and feature construction methods proposed in this paper can effectively improve the model performance

Amminelithium Amidoborane Li(NH3)NH2BH3: A New Coordination Compound with Favorable Dehydrogenation Characteristics

The monoammoniate of lithium amidoborane, Li(NH3)NH2BH3, was synthesized by treatment of LiNH2BH3 with ammonia at room temperature. This compound exists in the amorphous state at room temperature, but at −20 °C crystallizes in the orthorhombic space group Pbca with lattice parameters of a=9.711(4), b=8.7027(5), c=7.1999(1) Å, and V=608.51 Å3. The thermal decomposition behavior of this compound under argon and under ammonia was investigated. Through a series of experiments we have demonstrated that Li(NH3)NH2BH3 is able to absorb/desorb ammonia reversibly at room temperature. In the temperature range of 40–70 °C, this compound showed favorable dehydrogenation characteristics. Specifically, under ammonia this material was able to release 3.0 equiv hydrogen (11.18 wt %) rapidly at 60 °C, which represents a significant advantage over LiNH2BH3. It has been found that the formation of the coordination bond between ammonia and Li+ in LiNH2BH3 plays a crucial role in promoting the combination of hydridic BH bonds and protic NH bonds, leading to dehydrogenation at low temperature