Stabilizing Buried Interface via Synergistic Effect of Fluorine and Sulfonyl Functional Groups Toward Efficient and Stable Perovskite Solar Cells

The interfacial defects and energy barrier are main reasons for interfacial nonradiative recombination.In addition,poor perovskite crystallization and incomplete conversion of PbI_(2) to perovskite restrict further enhancement of the photovoltaic performance of the devices using sequential deposition.Herein,a buried interface stabilization strategy that relies on the synergy of fluorine(F)and sulfonyl(S=O)functional groups is proposed.A series of potassium salts containing halide and non-halogen anions are employed to modify SnO_(2)/perovskite buried interface.Multiple chemical bonds including hydrogen bond,coordination bond and ionic bond are realized,which strengthens interfacial contact and defect passivation effect.The chemical interaction between modification molecules and perovskite along with SnO_(2) heightens incessantly as the number of S=O and F augments.The chemical interaction strength between modifiers and perovskite as well as SnO_(2) gradually increases with the increase in the number of S=O and F.The defect passivation effect is positively correlated with the chemical interaction strength.The crystallization kinetics is regulated through the compromise between chemical interaction strength and wettability of substrates.Compared with Cl−,all non-halogen anions perform better in crystallization optimization,energy band regulation and defect passivation.The device with potassium bis(fluorosulfonyl)imide achieves a tempting efficiency of 24.17%.

Improving the value of molecular testing:current status and opportunities in colorectal cancer precision medicine

Colorectal cancer(CRC)is the second leading cause of cancer-related deaths worldwide1.Surgical radical resection with adjuvant chemotherapy remains the primary treatment choice for CRC,but the 5-year postoperative survival rate is only approximately 60%,and approximately one-third of patients with CRC experience recurrence within 2 years of surgery2.Fortunately,the transformation of high-throughput sequencing has accelerated the development of precision medicine.For example,KRAS mutations indicate resistance to anti-epidermal growth factor receptor(EGFR)-targeted therapies in CRC3.Furthermore,molecular-guided individualized therapy has brought new promise in major clinical areas and challenges,such as novel biomarkers predicting sensitivity and resistance to immunotherapy for microsatellite stable(MSS)CRC.

The effect of aneurismal-wall mechanical properties on patient-specific hemodynamic simulations:two clinical case reports

Hemodynamic factors such as the wall shearstress play an important role in the pathogenesis and treatmentof cerebral aneurysms. In present study, we apply computationalfluid-structure interaction analyses on cerebralaneurysms with two different constitutive relations for aneur-ismalwall in order to investigate the effect of the aneur-ismal wall mechanical properties on the simulation results.We carry out these analyses by using two patient-specificmodels of cerebral aneurysms of different sizes located indifferent branches of the circle of Willis. The models areconstructed from 3D rotational angiography image data andblood flow dynamics is studied under physiologically representativewaveform of inflow. From the patient models analyzedin this investigation, we find that the deformations ofcerebral aneurysms are very small. But due to the nonlinearcharacter of the Navier-Stokes equations, these smalldeformations could have significant influences on the flowcharacteristics. In addition, we find that the aneurismal-wallmechanical properties have great effects on the deformationdistribution of the aneurysm, which also affects the wall shearstress distribution and flow patterns. Therefore, how to define a proper constitutive relation for aneurismal wall should beconsidered carefully in the hemodynamic simulation.

The effect of enzymes on release of trace elements in feedstuffs based on in vitro digestion model for monogastric livestock

Background: This experiment was conducted to study the effect of different feed enzymes(phytase,xylanase,β-glucanase) on release rate of trace elements(Fe,Cu,Mn and Zn) in 6 commonly used feedstuffs(corn,wheat,barley,soybean meal,wheat bran,wheat middlings) by using an in vitro model,simulating the digestive processes in stomach for 2 h and then in small intestine for 6 h at 39 °C.Results: Phytase raised(P < 0.05) the release rate of Cu and Zn in corn,Cu,Zn and Mn in wheat,Cu in barley,Cu,Zn and Mn in soybean meal,Zn,Fe in wheat bran and Zn,Fe,Mn in wheat middlings.The release rate of various trace elements in feedstuffs was increased after xylanase addition.Compared with the control group,the release rate of soluble Cu in corn,wheat,barley and soybean meal,soluble Zn in corn,wheat and wheat middlings and soluble of Mn in corn,wheat,barley and wheat bran increased(P < 0.05) after xylanase treatment.After the treatment of β-glucanase,the release rate of soluble Cu in corn,wheat and wheat bran,soluble Fe in barley,soybean meal and wheat bran and soluble Mn in corn and wheat bran all increased(P < 0.05) compared with the control group.In each feedstuff,after corresponding enzyme treatment,the contents of phytic acid,xylan and β-glucan were significantly lower than those of the control group(P < 0.05).Conclusions: Results showed that bound trace elements in feedstuffs can be released by feed enzymes.It may be necessary to take the trace elements in feedstuffs into account in the actual feed preparation including feed enzymes.

Simultaneous passivation of bulk and interface defects through synergistic effect of anion and cation toward efficient and stable planar perovskite solar cells

Bulk and interface carrier nonradiative recombination losses impede the further improvement of power conversion efficiency(PCE)and stability of perovskite solar cells(PSCs).It is highly necessary to develop multifunctional strategy to minimize surface and interface nonradiative recombination losses.Herein,we report a bulk and interface defect passivation strategy via the synergistic effect of anions and cations,where multifunctional potassium sulphate(K_(2)SO_(4))is incorporated at SnO_(2)/perovskite interface.We find that K^(+)ions in K_(2)SO_(4)diffuse into perovskite layer and suppress the formation of bulk defects in perovskite films,and the SO_(4)^(2-)ions remain located at interface via the strong chemical interaction with SnO_(2)layer and perovskite layer,respectively.Through this synergistic modification strategy,effective defect passivation and improved energy band alignment are achieved simultaneously.These beneficial effects are translated into an efficiency increase from 19.45%to 21.18%with a low voltage deficit of0.53 V mainly as a result of boosted open-circuit voltage(V_(oc))after K_(2)SO_(4)modification.In addition,the K_(2)SO_(4)modification contributes to ameliorated stability.The present work provides a route to minimize bulk and interface nonradiative recombination losses for the simultaneous realization of PCE and stability enhancement by rational anion and cation synergistic engineering.

Performance enhancement of solution-processed InZnO thin-film transistors by Al doping and surface passivation

Solution-processed oxide semiconductors have been considered as a potential alternative to vacuum-based ones in printable electronics.However,despite spincoated InZnO(IZO)thin-film transistors(TFTs)have shown a relatively high mobil-ity,the lack of carrier suppressor and the high sensitivity to oxygen and water molecules in ambient air make them potentially suffer issues of poor stability.In this work,Al is used as the third cation doping element to study the effects on the electrical,optoelectronic,and physical properties of IZO TFTs.A hydrophobic self-assembled monolayer called octadecyltrimethoxysilane is introduced as the surface passivation layer,aiming to reduce the effects from air and understand the importance of top surface conditions in solution-processed,ultra-thin oxide TFTs.Owing to the reduced trap states within the film and at the top surface enabled by the doping and passivation,the optimized TFTs show an increased current on/off ratio,a reduced drain current hysteresis,and a significantly enhanced bias stress stability,compared with the untreated ones.By combining with high-capacitance AlO_(x),TFTs with a low operating voltage of 1.5 V,a current on/off ratio of>10^(4) and a mobility of 4.6 cm^(2)/(V·s)are demonstrated,suggesting the promising features for future low-cost,low-power electronics.

Variations in terrestrial oxygen sources under climate change

The terrestrial ecosystem is an important source of atmospheric oxygen, and its changes are closely related to variations in atmospheric oxygen level. However, few studies have focused on the characteristics and driving forces behind terrestrial ecosystem oxygen sources. In this study, based on observations and net carbon flux simulations from the Sixth Coupled Model Intercomparison Project, we investigated temporal and spatial variations in terrestrial oxygen sources. As the largest source of atmospheric oxygen, the terrestrial ecosystem can produce approximately 7.10±0.38 gigatons of oxygen per year, and the tropics are the main oxygen producing regions. Notably, there are many “non-oxygen-producing lands”, where the lands no longer provide oxygen to the atmosphere, located in the high latitudes and around the deserts of Central Asia. Long-term analysis reveals that anthropogenic activities and climate change are responsible for the variations in terrestrial oxygen sources owing to land-use changes and competing effects between net photosynthesis and heterotrophic respiration. By 2100, more oxygen will be produced from the low-middle latitudes, while the high latitudes will serve as a larger oxygen sink due to extreme land-use type changes and drastic increases in soil respiration. Through this study, we supplement the understanding of the modern oxygen cycle and help provide better estimates for future variations in atmospheric oxygen level.

Temporal patterns of algae in different urban lakes and their correlations with environmental variables in Xi’an,China

Urban lakes were critical in aquatic ecology environments,but how environmental factors affected the distribution and change characteristics of algal communities in urban lakes of Xi’an city was not clearly.Here,we investigated the algal community structure of six urban lakes in Xi’an and evaluated the effects of water quality parameters on algae.The results indicated that the significant differences on physicochemical parameters existed in different urban lakes.The maximum concentration of total phosphorus in urban lakes was(0.18±0.01)mg/L and there was a phenomenon of phosphorus limitation.In addition,51 genera of algae were identified and Chlorella sp.was the dominant algal species,which was affiliated with Chlorophyta.Network analysis elucidated that each lake had a unique algal community network and the positive correlation was dominant in the interaction between algae species,illustrating that mature microbial communities existed or occupied similar niches.Redundancy analysis illustrated that environmental factors explained 47.35% variance of algal species-water quality correlation collectively,indicating that water quality conditions had a significant influence on the temporal variations of algae.Structural equation model further verified that algal community structure was directly or indirectly regulated by different water quality conditions.Our study shows that temporal patterns of algal communities can reveal the dynamics and interactions of different urban ecosystem types,providing a theoretical basis for assessing eutrophication levels and for water quality management.

退化高寒草地土壤真菌群落与土壤环境因子间相互关系

【目的】为探究祁连山高寒草地退化过程中土壤真菌群落分布特征与土壤环境因子间的相互关系。【方法】利用Illumina Miseq PE250高通量测序技术对轻度、中度和重度退化草地土壤真菌群落结构变化及其多样性进行分析,并对土壤真菌群落与土壤环境因子的相互关系进行冗余分析(RDA)。【结果】随着退化程度加剧,土壤pH呈现出升高趋势,电导率呈现出先升高后降低趋势,土壤含水量、有机碳、全氮、全磷和全钾含量均逐渐降低。高通量测序共得到750575条有效序列和5788个OTUs;各试验点样地中真菌群落Chao1指数和Shannon-Wiener指数变化各异。在门分类水平上,子囊菌门(Ascomycota)、担子菌门(Basidiomycota)、接合菌门(Zygomycota)、球囊菌门(Glomeromycota)和壶菌门(Chytridiomycota)是各草地土壤的优势类群。RDA分析表明,土壤速效钾、全氮、速效氮和有机碳是祁连山不同退化高寒草地土壤真菌群落分布的主要驱动因子。【结论】祁连山不同退化高寒草地土壤真菌群落间差异明显,土壤环境因子是影响土壤真菌群落分布的重要因素。

Air route network optimization in fragmented airspace based on cellular automata

Air route network optimization,one of the essential parts of the airspace planning,is an effective way to optimize airspace resources,increase airspace capacity,and alleviate air traffic congestion.However,little has been done on the optimization of air route network in the fragmented airspace caused by prohibited,restricted,and dangerous areas(PRDs).In this paper,an air route network optimization model is developed with the total operational cost as the objective function while airspace restriction,air route network capacity,and non-straight-line factors(NSLF) are taken as major constraints.A square grid cellular space,Moore neighbors,a fixed boundary,together with a set of rules for solving the route network optimization model are designed based on cellular automata.The empirical traffic of airports with the largest traffic volume in each of the 9 flight information regions in China's Mainland is collected as the origin-destination(OD) airport pair demands.Based on traffic patterns,the model generates 35 air routes which successfully avoids 144 PRDs.Compared with the current air route network structure,the number of nodes decreases by 41.67%,while the total length of flight segments and air routes drop by 32.03% and 5.82% respectively.The NSLF decreases by 5.82% with changes in the total length of the air route network.More importantly,the total operational cost of the whole network decreases by 6.22%.The computational results show the potential benefits of the model and the advantage of the algorithm.Optimization of air route network can significantly reduce operational cost while ensuring operation safety.

Ion diffusion-induced double layer doping toward stable and efficient perovskite solar cells

The perovskite layer,electron transport layer(ETL)and their interface are closely associated with carrier transport and extraction,which possess a pronounced effect on current density.Consequently,the dissatisfactory electric properties of functional layers pose a serious challenge for maximizing the thermodynamic potential of current density of perovskite solar cells(PSCs).Herein,we report an ion diffusion-induced double layer doping strategy for efficient and stable PSCs,where LiOH is directly added into SnO_(2)colloidal dispersion solution.It is uncovered that a small amount of Li+ions remain in the ETL and doped SnO2 while a large amount of Li+ions diffuse to SnO_(2)/perovskite interface and into perovskite layer and gradient concentration distribution is spontaneously formed.The Li+ion doping endows both perovskite and SnO_(2)layers improved electric properties,which contributes to facilitated carrier transport and extraction.Moreover,the crystallinity and grain size of perovskite films are enhanced after doping.The doped device delivers a higher power conversion efficiency(PCE)of 21.31%together with improved ambient stability in comparison with the control device(PCE=19.26%).This work demonstrates a simple and effective ion diffusion-induced double layer by chemical doping strategy to advance the development of perovskite photovoltaics.