FUT8-mediated aberrant N-glycosylation of SEMA7A promotes head and neck squamous cell carcinoma progression

SEMA7A belongs to the Semaphorin family and is involved in the oncogenesis and tumor progression.Aberrant glycosylation has been intricately linked with immune escape and tumor growth.SEMA7A is a highly glycosylated protein with five glycosylated sites.The underlying mechanisms of SEMA7A glycosylation and its contribution to immunosuppression and tumorigenesis are unclear.Here,we identify overexpression and aberrant N-glycosylation of SEMA7A in head and neck squamous cell carcinoma,and elucidate fucosyltransferase FUT8 catalyzes aberrant core fucosylation in SEMA7A at N-linked oligosaccharides(Asn 105,157,258,330,and 602)via a direct protein‒protein interaction.A glycosylated statue of SEMA7A is necessary for its intra-cellular trafficking from the cytoplasm to the cytomembrane.Cytokine EGF triggers SEMA7A N-glycosylation through increasing the binding affinity of SEMA7A toward FUT8,whereas TGF-β1 promotes abnormal glycosylation of SEMA7A via induction of epithelial–mesenchymal transition.Aberrant N-glycosylation of SEMA7A leads to the differentiation of CD8^(+)T cells along a trajectory toward an exhausted state,thus shaping an immunosuppressive microenvironment and being resistant immunogenic cell death.Deglycosylation of SEMA7A significantly improves the clinical outcome of EGFR-targeted and anti-PD-L1-based immunotherapy.Finally,we also define RBM4,a splice regulator,as a downstream effector of glycosylated SEMA7A and a pivotal mediator of PD-L1 alternative splicing.These findings suggest that targeting FUT8-SEMA7A axis might be a promising strategy for improving antitumor responses in head and neck squamous cell carcinoma patients.

Energy-Saving Construction Technologies for Buildings

The development of the construction industry is shifting towards low-carbon construction,so it is necessary to improve and optimize related construction concepts,methods,and processes.By improving resource and energy control efficiency in building projects,minimizing construction waste,and reducing environmental impact,a foundation for the sustainable development of the industry can be established.This paper mainly analyzes the significance of low-carbon energy-saving construction technology and the control factors of construction,summarizes the status quo of the development of building energy-saving construction,and puts forward strategies for applying building energy-saving construction technology.These strategies serve to achieve low-carbon and energy-saving goals to promote the healthy development of energy-saving construction.

Research on the Dual Carbon Talent Training Model for the Construction Engineering Technology Major in Higher Vocational Education

Against the backdrop of global climate change and China’s“dual carbon”goals,the green transformation of the construction industry is imperative,and completing the transformation requires many dual carbon talents to support it.This article focuses on the construction engineering technology major in higher vocational education.It explores in depth the specific requirements for construction engineering technology talents in terms of professional knowledge,vocational skills,and literacy under the dual carbon mode.Based on this,corresponding dual carbon talent training courses are proposed,aiming to provide theoretical support and practical guidance for cultivating high-quality dual carbon talents that meet the needs of the new era.

Water Supply and Drainage Design for Prefabricated Buildings Under the Green Building Concept

With the continuous development of society and the market economy,people are putting forward higher and higher requirements for the construction,technology,and environmental friendliness of buildings.The prefabricated building not only has high installation efficiency,but is also safe and environmentally friendly,which is in line with the green building concept.The drainage design is a critical part of prefabricated buildings.In order to ensure the quality and construction efficiency of the building project,it is necessary to design the building water supply and drainage properly.Therefore,an in-depth investigation on prefabricated buildings was carried out in this paper,and water supply and drainage design for prefabricated buildings under the green building concept is proposed,in hopes of providing references for future water supply and drainage designs.

Advances and established therapies in linear scar prevention

Linear scars are scars formed after surgery or other trauma-healing procedures that typically exhibit a linear morphology.Optimal linear scars are characterized by narrowness,flatness,and a color closely resembling the adjacent tissue.Failure to meet these criteria can have detrimental effects on the physical and psychological wellbeing of patients.Thus,early intervention for linear scars can effectively improve functionality and aesthetics.This review aimed to consolidate the prevailing agreement on scar prevention therapies and provide clinical physicians with comprehensive and cutting-edge guidance.

Exploration of Work Manual Teaching Materials in Higher Vocational Education

In order to thoroughly implement the national vocational education reform plan,vocational colleges and universities have vigorously promoted the reform of teaching materials.As a new form of teaching material,work manual teaching materials highlight the characteristics of vocational education,provide the direction of vocational education textbook reform,and act as the foundation of the“three education”reform in vocational colleges.Based on the analysis of the current situation of the construction of teaching materials for higher vocational education,we explore the ideas for the development of work manual teaching materials,aiming to provide some reference for the development of teaching materials for vocational education in the new era.

Research on Developing BIM Intelligent Construction Programs Based on Application- Oriented Talent Cultivation

Cultivating application-oriented talents have become essential in vocational and higher education.This concept also applies to BIM intelligent construction programs.Based on literature review and general observations,we analyzed the connotation,key points,and value of developing a BIM intelligent construction program based on application-oriented talent cultivation.We also identified problems in the development of the program such as lack of comprehensive planning and the school being the sole authority in program development.Therefore,we proposed several strategies to address these problems,including systematic program development planning and fostering a multi-faceted partnership between schools and the industry.The goal is to provide valuable insights for the development of relevant programs in the new era.

Design and Analysis of Civics Education in the Course “Measurement and Pricing of Installation Works”

In order to implement moral education,ideological and political work must be carried out throughout the whole process of education and teaching.Taking the course“Measurement and Pricing of Installation Works”as the subject and professional knowledge and skills as the carrier,we explored the elements of ideological and political education contained in this course as well as the value of ideological and political education to this course,in order to realize the teaching goal of“trinity,”which includes value shaping,knowledge transfer,and skill cultivation.

Exogenous Melatonin Improves Physiological Characteristics and Promotes Growth of Strawberry Seedlings Under Cadmium Stress

Melatonin,as a plant growth regulator,is involved in plant stress resistance.We studied the effects of different concentrations(0,10,50,100,150,and 200μmol·L−1)of melatonin on the growth and physiological characteristics of strawberry under cadmium(Cd)stress.The results represented that the growth of strawberry seedlings was inhibited under Cd stress,and the seedling biomass,chlorophyll content and the activities of antioxidant enzymes such as superoxide dismutase(SOD),peroxidase(POD),catalase(CAT),and ascorbate peroxidase(APX)decreased.These toxic effects were,however,effectively remediated by exogenous melatonin pretreatment.Melatonin treatment slowed the inhibitory effect of seedling growth and significantly increased seedling biomass,chlorophyll content,antioxidant enzyme activities,and soluble protein levels in leaves and roots compared with the control.Melatonin treatment also reduced the malondialdehyde(MDA)content and the oxidative stress reactions,increased the anthocyanin content,and slowed the senescence rate,thereby reducing the toxic effects of Cd on strawberries.This indicates that foliar application of melatonin can effectively remediate the adverse effects of Cd on strawberry seedlings;the greatest effect was obtained with melatonin concentration of 100μmol·L−1.

Quench-tailored Al-doped V_(2)O_(5) nanomaterials for efficient aqueous zinc-ion batteries

Rechargeable aqueous zinc-ion batteries(ZIBs)are regarded as a promising competition to lithium-ion batteries as energy storage devices,owing to their high safety and low cost.However,the development of high-performance ZIBs is largely hindered by the shortage of ideal cathode materials with high-rate capability and long-cycle stability.Herein,we address this bottleneck issue by the quenching-tailored surface chemistry of V_(2)O_(5) cathode nanomaterial.By rapid quenching from high temperatures,Al ions are doped into V_(2)O_(5) lattice(Al-V_(2)O_(5))and abundant oxygen vacancies are formed on the surface/nearsurface,which facilitate the desired rapid electron transfers.Our density functional theory(DFT)simulations elucidate that the doping of Al ions into V_(2)O_(5) remarkably reduces the Zn^(2+)-diffusion barriers and improves the electrical conductivity of V_(2)O_(5).As a proof-of-concept application,the thus-optimized AlV_(2)O_(5) cathode delivers a superior specific capacity of 532 m Ah g^(-1) at 0.1 A g^(-1) and a long-cycling life with76%capacity retention after 5000 cycles,as well as a good rate performance.This work provides not only a novel strategy for tuning the surface chemistry of V_(2)O_(5) to boost the Zn^(2+)storage but also a general pathway of modifying metal oxides with improved electrochemical performance.

KSN heterozygosity is associated with continuous flowering of Rosa rugosa Purple branch

Rose(Rosa spp.)plants flower via two contrasting methods:once flowering(OF)and continuous flowering(CF).Purple branch is a rare continuously flowering variety of Rosa rugosa that is extensively cultivated in China.However,the genetic basis of its CF behavior is unknown.We demonstrated that Purple branch is heterozygous for the TFL1 homolog KSN.One KSN allele with a 9kb Copia insertion was found to be identical to that from continuously flowering Rosa chinensis Old blush.The other allele was found to be a functional wild-type allele.The overall expression of KSN was closely linked to the floral transition,and it was significantly repressed in continuously flowering Purple branch compared with OF Plena.The promoter region of the normal KSN allele was hypermethylated,and histone methylation at H3H4,H3K9,and H3K27 of the KSN gene locus was modified in continuously flowering Purple branch.Silencing of the DNA methyltransferase genes MET1 and CMT3 and the histone methyltransferase gene SUVR5 in Purple branch led to enhanced KSN expression,but silencing of the histone demethylase gene JMJ12 suppressed KSN expression.Therefore,the CF habit of Purple branch may be due to reduced expression of KSN caused by the halved dose and may be associated with epigenetic modifications together with retrotransposon insertions along the chromosome.Our study revealed a novel mechanism underlying the CF behavior of rose plants.

Application Research of Blended Teaching based on Duifene Teaching Platform:Modules on Construction Project Management

The Duifene teaching platform is a product of various teaching methods,which greatly improves the traditional teaching method.This article introduces the function and characteristics of a blended teaching platform as well as its application for histology and embryology modules.In addition,the advantages and disadvantages of blended teaching method is also discussed.The application of this teaching platform for Construction Project Management modules encourages students to be more enthusiastic and interested toward learning.This allows a more convenient and rapid teacher-student and student-student interaction thereby improving the teaching and learning experiences.

Classifying Abdominal Fat Distribution Patterns byUsing Body Measurement Data

This study aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues(VAT and SAT)measured by magnetic resonance imaging(MRI),to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors(BSDs),and to develop a classifier to predict the fat distribution clusters using the BSDs.In the study,66 male and 54 female participants were scanned by MRI and a stereovision body imaging(SBI)to measure participants’abdominal VAT and SAT volumes and the BSDs.A fuzzy c-means algorithm was used to form the inherent grouping clusters of abdominal fat distributions.A support-vector-machine(SVM)classifier,with an embedded feature selection scheme,was employed to determine an optimal subset of the BSDs for predicting internal fat distributions.A fivefold cross-validation procedure was used to prevent over-fitting in the classification.The classification results of the BSDs were compared with those of the traditional anthropometric measurements and the Dual Energy X-Ray Absorptiometry(DXA)measurements.Four clusters were identified for abdominal fat distributions:(1)low VAT and SAT,(2)elevated VAT and SAT,(3)higher SAT,and(4)higher VAT.The cross-validation accuracies of the traditional anthropometric,DXA and BSD measurements were 85.0%,87.5% and 90%,respectively.Compared to the traditional anthropometric and DXA measurements,the BSDs appeared to be effective and efficient in predicting abdominal fat distributions.

Discussion on the Application of Post-pouring Belt Construction Technology in Building Construction Processes

In recent years,with the rapid development of modern social economy,the urbanization process has continued to grow,and with it,so as to the demand for housing construction in urban areas.From the development perspective of construction projects,the construction involved would not only has to have a strong structural quality,but attention is also needed in the overall quality of the building.In this,a reasonable introduction of post-pouring belt construction technology in the building construction process can effectively control cracks in concrete structures.This article takes the post-pouring belt construction technology as the main research object and focuses on its application in the housing construction process,which has shown to provide better assistance in aiding construction.

Autoclaved Aerated Concrete Block Prefabricated Multi-Storey Building Technology

In active response to the national requirements of promoting green building materials and developing prefabricated buildings,it is necessary to continuously optimize and reasonably employ relevant technologies.Autoclaved aerated concrete block prefabricated multi-storey building technology is a new technology,which will not only effectively realize green environmental protection in construction engineering,but also promote the further development of prefabricated buildings.Therefore,this paper analyzes the autoclaved aerated concrete block prefabricated multi-storey building technology for future references.

Analysis on Related Factors of Hospitalization Days of Patients with Novel Coronavirus Pneumonia in Fangcang Shelter Hospitals

Objective:To study the factors influencing the length of stay in patients with COVID-19.Methods:The clinical data of 110 patients with COVID-19 who were infected with Omicron virus for more than 10 days from April to May 2022 were collected.Their gender,age,smoking status,clinical manifestations related to pneumonia,whether they were combined with other basic diseases and vaccination status were analyzed.The above influencing factors were analyzed by single factor regression analysis,followed by Cox regression model analysis.Results:The age of patients had an effect on the length of hospital stay.The median length of hospital stay of patients that are<50 years old,50-64 years old and≥65 years old were 14,14,and 17 days respectively(χ^(2)=9.346,P=0.009).The presence of coronavirus-related symptoms also affects the length of hospital stay(χ^(2)=4.840,P=0.028).The results of multivariate regression model showed that age(χ^(2)=8.669,P=0.006)and coronavirus-related symptoms(χ^(2)=5.424,P=0.020)were independent factors affecting the length of hospital stay.Conclusion:During the development of COVID-19,the age of patients and whether they have coronavirus-related symptoms are positively correlated with the length of stay.Gender,habit of smoking,presence of other basic diseases and vaccination are not related to the length of stay.

Research and Exploration of Blended Learning Based on Flipped Classroom and PAD Class

This paper combines two teaching methods-flipped classroom and PAD class-and applies it to the teaching reform of the Construction Project Management course.Passive learning has been replaced by autonomous learning,the dominant position of students in classroom learning is highlighted,and students are liberated from the traditional passive acceptance-type learning.This improves the effectiveness of teacher-student interaction and student mutual aid,enhances students’enthusiasm to participate in the classroom,and ultimately improves the effect of classroom teaching as well as realizes the personalized development of students.

Management Method and Intelligent Technology Analysis of Construction Management

The construction industry is a critical lifeline for China’s national economy’s development.The growth of the building business has piqued the interest of a variety of industries.To ensure the quality of construction engineering,it is necessary to improve the technical level of construction engineering management by strengthening construction engineering management through various effective methods,following the development of The Times,and strengthening the introduction of intelligent technology.The author investigates and analyses the importance of incorporating intelligent technology into construction project management,and proposes effective strategies for incorporating intelligent technology into construction project management in the hopes of improving the quality of construction project management.

Exploring the Reform of"Teachers,Teaching Materials,and Teaching Methods"Based on the M1+XM Certificate

In order to promote the reform of vocational education,the state has issued the National Vocational Education Reform Implementation Plan,in which the reform of"Teachers,Teaching Materials,and Teaching Methods"as well as the"1+X"certificate have been the most prominent topics for discussion.Facing new opportunities for vocational education development,popularizing the blend of"1+x"courses and certificates,strengthening the integration of production and education,as well as enhancing professional soft skills are urgent issues to solved.This article combines the"1+X"certificate of civil engineering professional construction drawings and analyzes the necessity of promoting the"1+X"professional skill level as well as the combination of certificate and curriculum construction in deepening the reform of"Teachers,Teaching Materials,and Teaching Methods."Several suggestions have been put forward for the reform of"Teachers,Teaching Materials,and Teaching Methods"which would be helpful for the practical exploration in the reform of"three teaching methods."

In silico off-target profiling for enhanced drug safety assessment

Ensuring drug safety in the early stages of drug development is crucial to avoid costly failures in subsequent phases.However,the economic burden associated with detecting drug off-targets and potential side effects through in vitro safety screening and animal testing is substantial.Drug off-target interactions,along with the adverse drug reactions they induce,are significant factors affecting drug safety.To assess the liability of candidate drugs,we developed an artificial intelligence model for the precise prediction of compound off-target interactions,leveraging multi-task graph neural networks.The outcomes of off-target predictions can serve as representations for compounds,enabling the differentiation of drugs under various ATC codes and the classification of compound toxicity.Furthermore,the predicted off-target profiles are employed in adverse drug reaction(ADR)enrichment analysis,facilitating the inference of potential ADRs for a drug.Using the withdrawn drug Pergolide as an example,we elucidate the mechanisms underlying ADRs at the target level,contributing to the exploration of the potential clinical relevance of newly predicted off-target interactions.Overall,our work facilitates the early assessment of compound safety/toxicity based on off-target identification,deduces potential ADRs of drugs,and ultimately promotes the secure development of drugs.