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Under the context of dual carbon strategic development goal, the petroleum and petrochemical industry is confronting with rigorous challenge from carbon reduction. Especially for the oil & gas exploration with large energy consumption in China, it is of practical importance to study the relation of the development of oil & gas exploitation with carbon emissions and its influencing factors.Herein, a combination of Kaya identity and generalized divisia index method(GDIM) was adopted to decompose various driving factors affecting carbon emissions in the oil & gas exploration industry. Then, the Tapio decoupling index model was established to analyze the decoupling effect of key factors influencing carbon emissions. Besides, the new model was used to analyze the carbon emissions in the oil & gas exploration industry in Xinjiang from 2010 to 2020. On this basis, it is concluded that the investment scale, output scale and energy consumption scale of China's oil and gas exploitation industry are highly positively correlated with carbon emissions, with respective contribution of 61.24%, 20.79% and 17.97% to the emissions. Meanwhile, the investment carbon intensity and output carbon intensity have a strong inhibitory effect on carbon emissions of oil & gas exploitation system, with respective contribution of -58.95% and -20.89% to carbon emission reduction. Moreover, the carbon emissions show the decoupling effect from the investment scale and output scale in most years, but it is still an expansionary negative decoupling at present. Under the new strategy pursuing for energy security, the oil & gas industry is seeking for the increase in reserves and production. Hence, the emphasis on innovation, energy saving and consumption reduction,the optimization of energy consumption structure and the integration of oil & gas and new energy are the most realistic and effective ways to achieve carbon emission reduction in the industry.

Objective: The objective of the study was to determine the anti‐osteoclastogenic potential of ginsenoside Rb3 for the treatment of periodontitis. Methods: The anti‐osteoclastogenic effect was determined using RANKL‐induced RAW264.7 cells and murine bone marrow‐derived macrophages followed by TRAP and phalloidin staining. Expression of osteoclastogenesis‐related genes and proteins were examined by qPCR and WB. Activation of signaling pathways was detected by WB and IHC techniques. Experimental periodontitis rat model was built up by gingival injections of P. gingivalis LPS. After 21 days of Rb3 treatment, rats were sacrificed for micro‐CT, IHC, H&E, and TRAP staining analyses. Results: Rb3 dramatically inhibits RANKL‐induced osteoclastogenesis. Nfatc1, Mmp9, Ctsk, Acp5 mRNA, and MMP9, CTSK proteins were dose‐dependently downregulated by Rb3 pretreatment. WB results revealed that Rb3 suppressed activations of p38 MAPK, ERK, and p65 NF‐κB, and the inhibition of ERK was most pronounced. Consistently, IHC analysis revealed that p‐ERK was highly expressed in alveolar bone surface, blood vessels, odontoblasts, and gingival epithelia, which were notably suppressed by Rb3 treatment. H&E staining and micro‐CT analyses showed that Rb3 significantly attenuated gingivitis and alveolar bone resorption in rats. Conclusion: Rb3 inhibits RANKL‐induced osteoclastogenesis and attenuates P. gingivalis LPS‐induced gingivitis and alveolar bone resorption in rats via ERK/NF‐κB signaling pathway. [ABSTRACT FROM AUTHOR]

In Northeast China, the maize (Zea mays L.) harvester header height is still manually controlled, and the control precision is poor, which limits the quality of maize harvesting and is unfavorable to the long-term development of agricultural harvesting. This work created an adaptive adjustment method for header height to address this issue. A maize harvester header, an STM32 control unit and key module, a hydraulic adjustment mechanism, and a pressure-wheel profiling device comprise the majority of the system. In this scenario, the proposed pressure-wheel profiling device is mounted to the ridge's surface and walks along it, delivering real-time data on terrain changes. The terrain change signals are received and processed in real time by the STM32 control unit, which subsequently operates the hydraulic adjustment mechanism to alter the header height. The structural dimensions and operational parameters of the essential components for pressure-wheel profiling device were determined using force analysis. A kinematic analysis of the hydraulic adjusting mechanism was performed, and the expression of the relationship between the displacement of hydraulic cylinder and the header height was obtained. The pressure-wheel profiling device was calibrated, the adaptive adjustment parameter model was constructed, and the PID control technique was employed to achieve automatic header height adjustment. This study analyzed the effects of harvester different forward speeds (1.25, 1.45, 1.65, 1.85, and 2.05 m/s) and different operating modes (open and unopened system) on the test indexes (Errors in the automatic adjustment of header height, Cob loss rate, Coefficient of variation in stubble height). The results revealed that, with the adaptive adjustment system mode on, the average difference between the measured actual header height and the predetermined height was 9.96 mm, the average coefficient of variation in stubble height was lowered by 34.44%, and the average cob loss rate was decreased by 7.98%, both of which may accommodate the needs of maize harvester header height adjustment. This study serves as a reference for the automated design of a maize harvester for monopoly crops. [ABSTRACT FROM AUTHOR]

Objectives: To analyse the characteristics of the oral microbiomes and expected to find biomarkers about Alzheimer's disease (AD). Subjects and Methods: AD patients (n = 26) and cognitive intact people (n = 26) were examined for cognition, depression, oral health and collected saliva and gingival crevicular fluid (GCF) in the morning. Full‐length 16S rRNA gene was amplified and sequencing was performed using the PacBio platform. Results: The predominant bacterium of salivary microbiome and periodontal microbiome from AD patients was Streptococcus oralis and Porphyromonas gingivalis, respectively. With respect to β diversity analysis, there was a significance difference in periodontal microbiome between AD patients and cognitively intact subjects. The relative abundance of Veillonella parvula significantly increased in oral microbiomes from AD patients. Interestingly, the dominant species were different between early‐onset AD and late‐onset AD patients. Moreover, the predominant species were changed as the clinical severity of AD. Furthermore, the correlation analysis revealed that V. parvula was associated with AD in both saliva and GCF and that P. gingivalis was associated with AD only in GCF. Conclusions: In this study, the microbiome community of oral microbes was altered in AD patients and periodontal microbiome was sensitive to cognition changes. Moreover, V. parvula and P. gingivalis were associated with AD. [ABSTRACT FROM AUTHOR]

Herein, a series of mesoporous NiMo/LaAlOx with various La contents were constructed through a solvent evaporation‐induced self‐assembly protocol, and their catalytic activities were investigated for hydrodesulfurization (HDS) of 4,6‐DMDBT. It has been confirmed that the incorporation of La influences the electronic structure and morphology of NiMoS active phase. The lower amount of La (x ≤ 1.0 wt.%) could facilitate the formation of "Type II" NiMoS phase by weakening the interaction of Mo‐O‐Al leakage and promoting the sulfidation of both Mo and Ni species as well as increasing the ratio of "Type II" NiMoS phase, thereafter boosting the HDS performances. Further increasing La incorporation, however, leads to the generation of inactive NiSx phase and decrease of NiMoS active phase proportion, the HDS activities of corresponding catalysts were suppressed. NiMo/LaAlOx‐1.0 exhibits the highest activity for 4,6‐DMDBT HDS because of its moderate metal‐support interaction, optimal morphology and the largest proportion of "Type II" NiMoS active phase. [ABSTRACT FROM AUTHOR]

To analysis the influence of natural repose angle on the mined ore grade in open-pit mine, post-blast stockpile natural repose angle of African uranium open-pit mine, by using EDEM simulation, drone survey and Surpac software assisted analysis methods, were measured and compared. The mathematical model for predicting boundary of ore-rock was built based on the natural repose angle. The results shows that, average deviation between the simulated data and measured data of natural repose angle is 0. 775°, and the maximum deviation rate is 3. 8%. Both of methods can accurately measure the natural repose angle of loose ore and rock. Take the African uranium open-pit mine as an example, the mathematical model of ore-rock boundary was used to calculate the effect of natural repose angle on ore-rock boundary. It is estimated that the amount of valuable ores will increase by 650 000 tons and more than 190 tons of uranium metal can be recovered. [ABSTRACT FROM AUTHOR]

To study the change of blasting quality and ore waste mixing condition along the depth direction in large volume buffer blasting of complex ore-body. A site test has been done in a large open-pit uranium mine in Africa. The height of the blasting steps is 7.5 meters, with 18 rows of holes, and the blasting capacity is 350 000 tons. The trial found that the blasted heap close to the buffer(loose area) was superior to the blasted heap far from the buffer(dense area) in terms of heave height, rock mass fragmentation distribution, and shovel efficiency. It is revealed that the blasting effect of large volume buffer blasting decreases along the direction of depth. After blasting, the ore quantity in the test block increased by 14.6%, grade decreased by 4%, and waste rock amount dropped by 28.84%,the ore waste mixing is more obvious in loose areas and the ore rock quantity increased, in contrast, the ore rock quantity in the dense area reduced. To improve the blasting effect in a dense area, one blasting block and two blasting parameter strategies are proposed. [ABSTRACT FROM AUTHOR]