Thermal runaway evolution of a 280 Ah lithium-ion battery with LiFePO_(4) as the cathode for different heat transfer modes constructed by mechanical abuse

Lithium iron phosphate batteries have been increasingly utilized in recent years because their higher safety performance can improve the increasing trend of recurring thermal runaway accidents.However,the safety performance and mechanism of high-capacity lithium iron phosphate batteries under internal short-circuit challenges remain to be explored.This work analyzes the thermal runaway evolution of high-capacity LiFePO_(4) batteries under different internal heat transfer modes,which are controlled by different penetration modes.Two penetration cases involving complete penetration and incomplete penetration were detected during the test,and two modes were performed incorporating nails that either remained or were removed after penetration to comprehensively reveal the thermal runaway mechanism.A theoretical model of microcircuits and internal heat conduction is also established.The results indicated three thermal runaway evolution processes for high-capacity batteries,which corresponded to the experimental results of thermal equilibrium,single thermal runaway,and two thermal runaway events.The difference in heat distribution in the three phenomena is determined based on the microstructure and material structure near the pinhole.By controlling the heat dissipation conditions,the time interval between two thermal runaway events can be delayed from 558 to 1417 s,accompanied by a decrease in the concentration of in-situ gas production during the second thermal runaway event.

YOLO-O2E:A Variant YOLO Model for Anomalous Rail Fastening Detection

Rail fasteners are a crucial component of the railway transportation safety system.These fasteners,distinguished by their high length-to-width ratio,frequently encounter elevated failure rates,necessitating manual inspection and maintenance.Manual inspection not only consumes time but also poses the risk of potential oversights.With the advancement of deep learning technology in rail fasteners,challenges such as the complex background of rail fasteners and the similarity in their states are addressed.We have proposed an efficient and high-precision rail fastener detection algorithm,named YOLO-O2E(you only look once-O2E).Firstly,we propose the EFOV(Enhanced Field of View)structure,aiming to adjust the effective receptive field size of convolutional kernels to enhance insensitivity to small spatial variations.Additionally,The OD_MP(ODConv and MP_2)and EMA(EfficientMulti-Scale Attention)modules mentioned in the algorithm can acquire a wider spectrum of contextual information,enhancing the model’s ability to recognize and locate objectives.Additionally,we collected and prepared the GKA dataset,sourced from real train tracks.Through testing on the GKA dataset and the publicly available NUE-DET dataset,our method outperforms general-purpose object detection algorithms.On the GKA dataset,our model achieved a mAP 0.5 value of 97.6%and a mAP 0.5:0.95 value of 83.9%,demonstrating excellent inference speed.YOLO-O2E is an algorithm for detecting anomalies in railway fasteners that is applicable in practical industrial settings,addressing the industry gap in rail fastener detection.

Existing Problems and Countermeasures of Rural Industry Development in Bijie Experimental Area

The development of rural industries in Bijie City of Guizhou Province leads the comprehensive rural revitalization with industrial revitalization,takes high-quality development as the overall guide,focuses on industrial scale,standardization,branding,and marketization,and strives to extend the industrial chain and enhance the value chain to achieve the prosperity of rural industries.In this study,it investigated the current situation of rural industry development in Bijie City(improving the quality and efficiency of characteristic industries,expanding the quantity and efficiency of agricultural products processing industry,recruiting and cultivating large business entities,expanding and strengthening the brand of agricultural products,and upgrading the rural tourism).Through analysis,it found that there are problems such as small scale of production enterprises,insufficient cultivation of independent brands,short industrial chain,low added value,weak market expansion ability,imperfect interest connection mechanism,and insufficient participation of farmers.Finally,it came up with countermeasures for the development of rural industries in Bijie City,including improving supporting facilities and building an extension base;strengthening leading enterprises and focus on deep processing;highlighting regional characteristics and paying close attention to the docking of production and marketing;enhancing the characteristic brand and strengthening the support of science and technology;promoting collaboration and support,and making innovation in the connection of interests.

Genome-wide identification and spatiotemporal expression profiling of zinc finger SWIM domain-containing protein family genes

The biological function of the novel zinc-finger SWIM domain-containing protein family(ZSWIM)during embryonic development remains elusive.Here,we conducted a genome-wide analysis to explore the evolutionary processes of the ZSWIM gene family members in mice,Xenopus tropicalis,zebrafish,and humans.We identified nine putative ZSWIM genes in the human and mouse genome,eight in the Xenopus genome,and five in the zebrafish genome.Based on multiple sequence alignment,three members,ZSWIM5,ZSWIM6,and ZSWIM8,demonstrated the highest homology across all four species.Using available RNA sequencing(RNAseq)data,ZSWIM genes were found to be widely expressed across different tissues,with distinct tissuespecific properties.To identify the functions of the ZSWIM protein family during embryogenesis,we examined temporal and spatial expression patterns of zswim family genes in Xenopus embryos.Quantitative real-time polymerase chain reaction(qRT-PCR)revealed that each member had a distinct expression profile.Whole-mount in situ hybridization showed that both zswim1 and zswim3 were maternally expressed genes;zswim5 and zswim6were expressed throughout embryogenesis and displayed dynamic expression in the brain,eyes,somite,and bronchial arch at the late tailbud stages;zswim7 was detected in the eye area;zswim8 showed a dynamic expression pattern during the tailbud stages,with expression detected in the brain,eyes,and somite;zswim9 was faintly expressed throughout embryonic development.This study provides a foundation for future research to delineate the functions of ZSWIM gene members.

Effects of Different Application Rates of Pesticides and Chemical Fertilizers on Wheat Stripe Rust and Wheat Yield

[Objectives]The paper was to investigate the effects of different application rates of pesticides and fertilizers on wheat stripe rust and wheat yield.[Methods]Two-factor split block design was adopted.[Results]Different application rates of pesticides and chemical fertilizers would affect the incidence of wheat stripe rust,and further affect the yield of wheat.Triadimefon had no significant effect on wheat yield,and potassium sulfate compound fertilizer had significant effect on wheat yield,while their interaction had no significant effect on wheat yield.There were significant differences in wheat yield among the 15 treatment combinations,which may be due to the fact that the application rate of potassium sulfate compound fertilizer had extremely significant effect on wheat yield.[Conclusions]Under the wheat/green manure/maize zonal rotation system in Bijie,the sowing width of wheat is guaranteed to be 0.5 m under the 1.65 m zonal cropping system,and the sowing rate of wheat is arranged according to the basic seedling of 1.2 million plants/hm^(2).In the early stage of wheat stripe rust,15%triadimefon WP can be sprayed evenly at the dose of 1050 g/hm^(2)by a high-power sprayer in a sunny day.

Hypermethylation of promoter 5'CpG island of p16 gene in glioma tissue and plasma

Objective: To explore the clinical significance of methylation status of promoter CpG island of p16 gene in glioma tissue and plasma. Methods: Methylation specific polymerase chain reaction (MSP) was used to determine the methylation status of the promoter for p16 gene within glioma tissue and plasma. Immunohistochemical method (SP) was used to analyze the expressions of p16 and Ki-67 proteins. Results: Hypermethylation was found in 17/40 (42.5%) of brain gliomas, in com-parison with 11/40 (27.5%) plasma specimens (χ2 = 1.9780, P = 0.1596). Loss of p16 expression was associated (P = 0.0229) with hypermethylation of CpG island of promoter regions. Hypermethylation of p16 gene CpG island was significantly related to the increase of malignant grade of brain glioma (Tissue: χ2 = 11.4288, P = 0.0007; Plasma: χ2 = 8.9439, P = 0.0028). The Ki-67 index increased significantly (P < 0.05) in brain gliomas methylated in contrast to those unmethylated. Conclusion: P16 hypermethylation may be one of the major mechanisms of tumorigenesis of gliomas. Methylated tumor-specific DNA may be as a plasma biomarker for prognosis in patients with glioma.

Canonical Correlation between the Leaf Quality Indicators of "Moderate Aroma" Flue-cured Tobacco

In order to find out the correlation between tobacco quality evaluation indicators in China's traditional " moderate aroma" tobaccoproducing areas and simplify the tobacco quality evaluation indicators,we evaluate the appearance quality and smoking quality of 143 flue-cured tobacco leaf samples in China's " moderate aroma" tobacco-producing areas,test the physical traits and chemical component,and analyze the canonical correlation between four quality evaluation indicators. The results show that there is significant or extremely significant canonical correlation between four evaluation indicators( tobacco smoking quality,chemical component,appearance quality and physical trait quality); the cumulative variance contribution rate of evaluation indicators is in the order of chemical component( 69. 17%) > appearance quality( 68. 76%) > physical traits( 64. 13%); appearance quality is most closely related to physical traits( 93. 84%). The individual indicators for tobacco quality evaluation make different contribution to the correlation between quality evaluation indicators. The chemical component evaluation indicators mainly include total sugar and ratio of total sugar to betaine; sensory taste indicators mainly include aroma volume,smoke concentration,irritation and softness degree; physical trait evaluation indicators mainly include leaf weight,leaf length and leaf density; appearance quality indicators mainly include leaf organizational structure,color,maturity and identity. Studies have shown that in the large-scale ecoregion,using canonical correlation analysis to simplify tobacco quality evaluation indicators is feasible.

Interfacial chemistry ofγ-glutamic acid-derived block polymer binder directing the interfacial compatibility of high voltage LiNi0.5Mn1.5O4 electrode

LiNi0.5Mn1.5O4(LNMO)spinel is one of the most promising high voltage cathode candidates for lithium ion batteries(LIBs).However,owing to the instability for organic electrolytes at 5V high voltage,it exhibits continuous oxidation,leading to the formation of unstable interface and the notorious dissolution of transition metal,which prevents the successful commercialization of LNMO.Herein,on the basis of energy level simulation,we present a high voltage resistant binder shielding strategy to address the challenging interfacial issue of LiNi0.5Mn1.5O4cathode.Our strategy is to design a novel poly(γ-glutamic acid)-c-1H,1H,9H,9H-perfluoro-1,9-nonanediol(γ-PGFO)binder with superior transition metal chelating effect and well-matched energy level to guarantee fantastic interfacial compatibility.It is demonstrated that the dissolution of transition metal is significantly suppressed in the presence ofγ-PGFO binder,which excels in the literature.It is also noted that intramolecular hydrogen binding of the well-designed binder can generate powerful facial-contact binding,which is significant for a promising binder.By encapsulating this binder inside the cathode matrix,the Li Ni0.5Mn1.5O4electrode exhibits a capacity of 105.8 m Ah g^(-1)after 500cycles at 1 C with a capacity retention of 88.2%,which is significantly superior to that of polyvinylidene fluoride(PVDF)/Li Ni0.5Mn1.5O4electrode(a capacity of 82.9 m Ah g^(-1)and a capacity retention of 63.4%).The overall Coulombic efficiency ofγ-PGFO/Li Ni0.5Mn1.5O4electrode is prominently improved to be 99.1%,compared with 95.5%of PVDF counterpart.The presented results demonstrate a promising strategy of amino acid-based binder with strong transition metal chelating capability for boosting the rapid development of high voltage lithium ion battery.

Genome of the Giant Panda Roundworm Illuminates Its Host Shift and Parasitic Adaptation

Baylisascaris schroederi,a roundworm(ascaridoid)parasite specific to the bamboofeeding giant panda(Ailuropoda melanoleuca),represents a leading cause of mortality in wild giant panda populations.Here,we present a 293-megabase chromosome-level genome assembly of B.schroederi to infer its biology,including host adaptations.Comparative genomics revealed an evolutionary trajectory accompanied by host-shift events in ascaridoid parasite lineages after host separations,suggesting their potential for transmission and rapid adaptation to new hosts.Genomic and anatomical lines of evidence,including expansion and positive selection of genes related to the cuticle and basal metabolisms,indicate that B.schroederi undergoes specific adaptations to survive in the sharp-edged bamboo-enriched gut of giant pandas by structurally increasing its cuticle thickness and efficiently utilizing host nutrients through gut parasitism.Additionally,we characterized the secretome of B.schroederi and predicted potential drug and vaccine targets for new control strategies.Overall,this genome resource provides new insights into the host adaptation of B.schroederi to the giant panda as well as the host-shift events in ascaridoid parasite lineages.Our findings on the unique biology of B.schroederi will also aid in the development of prevention and treatment measures to protect giant panda populations from roundworm parasitism.

Tool path strategy and cutting process monitoring in intelligent machining

Intelligent machining is a current focus in advanced manufacturing technology, and is characterized by high accuracy and efficiency. A central technology of intelligent machining--the cutting process online monitoring and optimization--is urgently needed for mass production. In this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligent machining. Results show that intelligent tool path optimization and cutting process online monitoring are efficient techniques for improving the efficiency, quality, and reliability of machining.