ST-LaneNet: Lane Line Detection Method Based on Swin Transformer and LaneNet

The advancement of autonomous driving heavily relies on the ability to accurate lane lines detection.As deep learning and computer vision technologies evolve,a variety of deep learning-based methods for lane line detection have been proposed by researchers in the field.However,owing to the simple appearance of lane lines and the lack of distinctive features,it is easy for other objects with similar local appearances to interfere with the process of detecting lane lines.The precision of lane line detection is limited by the unpredictable quantity and diversity of lane lines.To address the aforementioned challenges,we propose a novel deep learning approach for lane line detection.This method leverages the Swin Transformer in conjunction with LaneNet(called ST-LaneNet).The experience results showed that the true positive detection rate can reach 97.53%for easy lanes and 96.83%for difficult lanes(such as scenes with severe occlusion and extreme lighting conditions),which can better accomplish the objective of detecting lane lines.In 1000 detection samples,the average detection accuracy can reach 97.83%,the average inference time per image can reach 17.8 ms,and the average number of frames per second can reach 64.8 Hz.The programming scripts and associated models for this project can be accessed openly at the following GitHub repository:https://github.com/Duane 711/Lane-line-detec tion-ST-LaneNet.

A granular adsorbent-supported Fe/Ni nanoparticles activating persulfate system for simultaneous adsorption and degradation of ciprofloxacin

In this work,Fe/Ni nanoparticles were produced through Fe(II)and Ni(II)reduction by NaBH4 and they were stabilized by a kind of prepared granular adsorbent(Fe/Ni@PGA).Fe/Ni@PGA as an environment-friendly activator was used to activate persulfate(PS)for the removal of ciprofloxacin from aqueous solution.Fe/Ni@PGA was systematically characterized via Brunauer-Emmett-Teller(BET)method,X-ray diffraction(XRD),scanning electron microscopy(SEM),and Fourier transform infrared spectroscopy(FTIR).The effects of PS concentration,initial solution pH,Fe/Ni@PGA dosage,initial ciprofloxacin concentration,reaction temperature,anions,and natural organic matters on the removal of ciprofloxacin by Fe/Ni@PGA/PS were analyzed.The removal efficiency of ciprofloxacin by Fe/Ni@PGA/PS was 93.24%under an initial pH of 3.0,PS concentration of 10 mM,Fe/Ni@PGA dosage of 0.1 g,and reaction temperature of 30℃.Fe/Ni@PGA could still exhibit high catalytic activity after nine cycles of regeneration.The removal mechanisms for ciprofloxacin by the Fe/Ni@PGA/PS system were proposed.In summary,the Fe/Ni@PGA/PS system could be applied as a promising technology for ciprofloxacin removal.

Colonization and development of the gut microbiome in calves

Colonization and development of the gut microbiome are crucial for the growth and health of calves.In this review,we summarized the colonization,beneficial nutrition,immune function of gut microbiota,function of the gut barrier,and the evolution of core microbiota in the gut of calves of different ages.Homeostasis of gut microbiome is beneficial for nutritional and immune system development of calves.Disruption of the gut microbiome leads to digestive diseases in calves,such as diarrhea and intestinal inflammation.Microbiota already exists in the gut of calf fetuses,and the colonization of microbiota continues to change dynamically under the influence of various factors,which include probiotics,diet,age,and genotype.Colonization depends on the interaction between the gut microbiota and the immune system of calves.The abundance and diversity of these commensal microbiota stabilize and play a critical role in the health of calves.

Flammulina velutipes polysaccharide-iron (Ⅲ) complex used to treat iron deficiency anemia after being absorbed via GLUT2 and SGLT1 transporters

Iron deficiency anemia(IDA)is a common nutritional problem, but traditional iron supplements cause many adverse reactions. Thus, the development of a novel iron supplement might be significant for the treatment of IDA. This study aimed to study the transport mechanism of Flammulina velutipes polysaccharide-iron complex(FVP1-Fe(Ⅲ))in Caco-2 cells and the therapeutic effect on IDA rats, as well as the influence on gut microbiota in vivo. These results showed that in vitro, the uptake of FVP1-Fe(Ⅲ)was mediated by sodium-dependent glucose transporter-1(SGLT1)and facilitated glucose transporter-2(GLUT2)and GLUT2 played a dominant function. The multidrug resistance-associated protein-2(MRP-2)was involved in the efflux of FVP1-Fe(Ⅲ)across the Caco-2 cells. In vivo, FVP1-Fe(Ⅲ)had a better restorative effect on blood parameters and iron status indicators in rats with IDA as compared with FeSO_4 and exerted this effect by downregulating the expression of hepcidin. FVP1-Fe(Ⅲ)could also regulate gut microbiota dysbiosis in iron deficiency rats by returning the relative abundance of gut microbiota to the normal level. Besides, as a dietary factor, vitamin C(vit C)could enhance the therapeutic effect of FVP1-Fe(Ⅲ). These present findings showed that FVP1-Fe(Ⅲ)could be exploited as a novel iron supplement to treat IDA.

Effects of Applying Trace Clements on Yield and Quality of Flue-cured Tobacco Cuibi-1

[Objectives]To optimize the fertilization technology of flue-cured tobacco Cuibi-1.[Methods]From 2015 to 2016,the experiment of spraying Saikun multi-trace element water-soluble fertilizer was carried out.[Results]7 d and 14 d after transplanting tobacco seedlings,3750 mL/ha,300 times diluted Sakun multi-trace element aqueous solution was sprayed,the growth period of Cuibi-1 in the field was extended by 3-5 d.The incidence of mosaic disease at the rosette stage and granuville wilt at the foot leaf harvesting and curing stage decreased by 4.50-20.85 kg/ha,the yield increased by 67.8-68.7 kg/ha,the proportion of high-quality tobacco increased by 1.29-3.01 percentage points,and the output value increased by 2692.5-3441 yuan/ha,the sensory smoking quality has improved.[Conclusions]Increasing the application of multiple trace elements can increase the economic benefit and industrial use value of tobacco leaf production of Cuibi-1.

A Death Due to Neurobrucellosis—Linfen City,Shanxi Province,China,May 2021

On May 8,2021,a death due to brucellosis was reported to the Shanxi CDC.An epidemiological investigation was conducted to determine the cause of death.The patient,a 41-year-old man engaged in mining,was brought to the emergency room of Xinjiang Military General Hospital on March 13,2021,with complaints of gradual-onset fever and headache.He was admitted for diagnostic workup.Two days later,he developed convulsions and altered consciousness and was transferred to the intensive care unit.

Application of Detrital Apatite U-Pb Geochronology and Trace Elements for Provenance Analysis,Insights from a Study on the Yarlung River Sand

Detrital U-bearing minerals(e.g.,zircon,apatite)U-Pb ages with specific trace-element geochemistry,are frequently used in provenance analyses.In this study,we focus on the Yarlung River drainage in South Tibet,characterized by two distinct lithologic units:The Gangdese batholith to the north(mainly granitoids)and the Tethyan Himalaya(mainly sedimentary rocks)to the south,which plays a crucial role in the erosion of the Tibetan Plateau.To constrain the provenance of the Yarlung River Basin,we performed trace-element and U-Pb age analyses of detrital apatite from the river sands of the Yarlung River and its tributaries.Our findings indicate that the detrital apatite U-Pb age patterns of the north tributaries exhibit main peaks at approximately 40 and 60 Ma,consistent with the corresponding U-Pb age patterns of detrital zircon published.Further,their trace element casts fall mainly in the Type I granite region,also indicating the Gangdese arc-dominated source.However,those of the south tributaries(∼60–20 Ma)exhibit a different age distribution from the detrital zircon U-Pb groups(∼110–150,∼500,and 1100 Ma),suggesting that the detailed apatite U-Pb signals can provide excellent constraints on the provenance of igneous and metamorphic rock sources but less so for sedimentary rock sources.Combined with previous detrital zircon data in the study area,our detrital apatite information can highlight young metamorphic events from a complex background(i.e.,Niyang and Nianchu rivers),which offers additional constraints on the provenance of the Yarlung River Basin.Generally,a combination of geochemistry and geochronology of multi-detrital heavy minerals,such as zircon and apatite,can provide powerful tools for provenance analysis.

Orange-red emitting Sr_3LaTa_3O_(12):Sm^(3+) phosphors with perovskite structure and high thermal stability for w-LEDs

A novel layered perovskite tantalate phosphor Sr_(3)LaTa_(3)O_(12):Sm^(3+)(SLTO:Sm^(3+)) with orange-red emission was obtained for the first time via the solid-phase synthetic method. The phase purity, surface morphology,element distribution and luminescent properties of the SLTO:xSm^(3+)(x= 0.01 mol%-0.30 mol%) phosphors were investigated. Under 408 nm excitation, the optimum doped SLTO:0.10Sm^(3+) phosphor emits orangered light at 598 nm with the highest emission peak(4G_(5/2)→6H_(7/2)). The critical energy transfer distance is 1.687 nm. The prepared SLTO:0.10Sm^(3+)phosphor has excellent thermal stability with temperature quenching temperature(T_(0.5)> 500 K) and high activation energy(E_(a)= 0.25 e V). Through calculation, the chromaticity coordinates of all samples are concentrated in the orange-red area, and the color purity reaches 99%. The fabricated white light-emitting diode(w-LED) has a good correlated color temperature(5132 K), a high R_(a)(89), and the CIE chromaticity coordinates(0.340, 0.327). Consequently, the superiority of orange-red-emitting tantalate SLTO:Sm^(3+) phosphors for w-LEDs is demonstrated.

Vehicle Travel Destination Prediction Method Based on Multi-source Data

Research on vehicle travel destinations mostly only consider vehicle trajectory data and ignore the influence of other multi-source data,such as weather,time,and points of interest(POI).This study proposes a destination prediction method based on multi-source data,and a multi-input neural network model is established.In terms of the coding of vehicle trajectory data,a GeoHash to vector(Geo2vec)model is proposed to realize the characterization of the trajectory.As for the coding of temporal features,a cyclic coding model is proposed based on trigonometric functions.For the coding of POI,an origin-destination POI matrix(OD-POI)model is proposed based on the state transition probability.Experimental results show that in terms of the average distance and root-mean-square distance deviations,Geo2vec reveals reductions of 4.51%and 5.63%compared to word to vector(Word2vec),and cyclic encoding shows reductions of 6.35%and 6.67%compared to label encoding;further,the method of OD-POI state transition probability is reduced by 5.85%and 6.4%,and the model based on multi-source data is 17.29%and 17.65%lower than the model based on trajectory data only.Finally,the cyclic encoding is reduced by 48.60%in the data dimension compared to one-hot encoding.Accurate destination prediction will help improve the efficiency of automotive human-computer interaction.