Study on the Principle Model and Simplification of Subway Station Itemized Energy Consumption

Owing to the constant modernization and urbanization of China,most cities have subways,and the total power consumption of subway stations has been rising,which contradicts with China’s green goals.In this regard,energy consumption indicators for major energy use projects in subway stations should be established,comprehensive evaluation and detailed research on the current situation of subway operation should be conducted,and specific energy-saving measures should be taken from a diversified perspective.It is crucial to systematically sort out the principle of sub-item energy consumption in subway stations,and practice and explore the specific simplification measures of the principle model of sub-item energy consumption,so as to lay a solid foundation for achieving the goal of reducing energy consumption of subway stations.

Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy

The solution purification process is an essential step in zinc hydrometallurgy. The performance of solution purification directly affects the normal functioning and economical benefits of zinc hydrometallurgy. This paper summarizes the authors' recent work on the modeling, optimization, and control of solution purification process. The online measurable property of the oxidation reduction potential(ORP) and the multiple reactors, multiple running statuses characteristic of the solution purification process are extensively utilized in this research. The absence of reliable online equipment for detecting the impurity ion concentration is circumvented by introducing the oxidationreduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operationalpattern adjustment strategy, and a process evaluation strategy based on the oxidation-reduction potential are proposed. The effectiveness of the proposed research is demonstrated by its industrial experiment.

Preparation of antifouling ultrafiltration membranes from copolymers of polysulfone and zwitterionic poly(arylene ether sulfone)s

The past few decades have witnessed rapid gains in our demands of antifouling membranes such as water purification membranes and hemodialysis membranes.A variety of methodologies have been proposed for improving the antifouling performance and the hemocompatibility of the membranes.In this study,a series of copolymers(PSF-PESSB)containing polysulfone(PSF)and poly(arylene ether sulfone)bearing pendant zwitterionic sulfobetaine groups(PESSB)were prepared via one-pot polycondensation.Subsequently,the ultrafiltration(UF)membranes were prepared from different zwitterion-containing copolymers.The prepared membranes showed high thermal stability and mechanical properties.Besides,it also displayed attractive antifouling performance and blood compatibility.Compared with the original PSF membrane,the amount of protein absorption on the modified membrane was reduced;the flux recovery ratio and the resistance to blood cells were significantly improved.The results of this work suggest that PSF-PESSB membranes are expected to be applied in blood purification.The introduction of zwitterion-containing polymers to membranes paves ways for developing advanced hemodialysis technologies for crucial process.

LIE-TROTTER FORMULA FOR THE HADAMARD PRODUCT

Suppose that A and B are two positive-definite matrices,then,the limit of(A^p/2B^pA^p/2)1/p as p tends to 0 can be obtained by the well known Lie-Trotter formula.In this article,we generalize the usual product of matrices to the Hadamard product denoted as*which is commutative,and obtain the explicit formula of the limit(A^p*B^p)^1/p as p tends to 0.Furthermore,the existence of the limit of(A^p*B^p)^1/p as p tends to+∞is proved.

Heisenberg Uncertainty Principle for n-Dimen-sional Linear Canonical Transforms

The uncertainty principle proposed by German physicist Heisenberg in 1927 is a basic principle of quantum mechanics and signal processing.Since linear canonical transformation has been widely used in various fields of signal processing recently and Heisenberg uncertainty principle has been endowed with new expressive meaning in linear canonical transforms domain,in this manuscript,an improved Heisenberg uncertainty principle is obtained in linear canonical trans-forms domain.

Current Trends in Clinical Practice for the Minimal Invasive Medial Unicondylar Knee Arthroplasty

Unicondylar Knee Arthroplasty (UKA) is an early alternative surgical procedure for the unicondylar osteoarthritis or damaged knee joint with artificial prosthesis for the release of disabling painful condition and restoring the normal knee functions. Minimally UKA is one of the recent and the majority successful procedures in modern orthopedics for the osteoarthritis which is spreading throughout the worldwide. Recently, many orthopedic surgeons are expanding their abilities in this field. However, it needs good knowledge and well experience for the successful clinical outcomes. The minimal invasive approach is more efficient for short hospital stay and faster postoperative recovery with low morbidity of the patients after UKA. The aim of this article is to emphasize the steps in UKA based on modern facts: function of knee joint, diagnosis, less invasive approach for medial condylar replacement, radiographic evaluation, and earlier recovery, selecting the patient and implant survivorship with review of surgery.

A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring

Data-driven process-monitoring methods have been the mainstream for complex industrial systems due to their universality and the reduced need for reaction mechanisms and first-principles knowledge.However,most data-driven process-monitoring methods assume that historical training data and online testing data follow the same distribution.In fact,due to the harsh environment of industrial systems,the collected data from real industrial processes are always affected by many factors,such as the changeable operating environment,variation in the raw materials,and production indexes.These factors often cause the distributions of online monitoring data and historical training data to differ,which induces a model mismatch in the process-monitoring task.Thus,it is difficult to achieve accurate process monitoring when a model learned from training data is applied to actual online monitoring.In order to resolve the problem of the distribution divergence between historical training data and online testing data that is induced by changeable operation environments,a robust transfer dictionary learning(RTDL)algorithm is proposed in this paper for industrial process monitoring.The RTDL is a synergy of representative learning and domain adaptive transfer learning.The proposed method regards historical training data and online testing data as the source domain and the target domain,respectively,in the transfer learning problem.Maximum mean discrepancy regularization and linear discriminant analysis-like regularization are then incorporated into the dictionary learning framework,which can reduce the distribution divergence between the source domain and target domain.In this way,a robust dictionary can be learned even if the characteristics of the source domain and target domain are evidently different under the interference of a realistic and changeable operation environment.Such a dictionary can effectively improve the performance of process monitoring and mode classification.Extensive experiments including a numerical simulation and two industrial systems are conducted to verify the efficiency and superiority of the proposed method.

Arg-Gly-Asp(RGD)Modified Biomimetic Polymeric Materials

The new generation of biomaterials focuses on the design of biomimetic polymeric materials that are capable of eliciting specific cellular responses and directing new tissue formation. Since Arg-Gly-Asp （RGD） sequences have been found to promote cell adhesion in 1984, numerous polymers have been functionalized with RGD peptides for tissue engineering applications. This review gave the advance in RGD modified biomimetic polymeric materials,focusing on the mechanism of RGD, the surface and bulk modification of polymer with RGD peptides and the evaluation in vitro and in vivo of the modified biomimetic materials.

Investigation on Mental Health Status among High School Students at Grade 3 in Haidian District of Beijing

Objective.To understand and analyze the mental health status of key Senior School Students at grade 3 in Haidian District of Bey ing and Senior Three Students in General Schools,so as to provide basis for mental health education and psychological intervention.Methods.A total of 263 senior three students were randomly selected from a general school and two key school in Haidian District of Beijing.A questionnaire survey was conducted using the Mental Health Scale for Chinese Middle School Students(MSSMHS).Results.Of the 260 students surveyed,54.2%had mental health problems,36.5%had mild problems,8.8%had moderate problems,and 0.5%had slightly and deeply serious problems.The first three factors about examined rates of factors of mental health were anxiety,learning and interpersonal relationship.The detection rates accounted for 23.5%,23.1%and 18.8%respectively.There was no significant difference in the scores of each factor between key and ordinary middle school students(P>0.05).The scores of interpersonal,depression,anxiety and emotional factors of middle school girls were higher than those of boys,with statistical significance(P<0.05)?Conclusion.There are some mental health problems among senior students at grade 3 in Haidian District of Beijing,and female students9 are serious.Schools,families and societies should pay attention to this problem and strengthen mental health education with a focused goal.

Network Group Psychological Education of College Students

Based on the perspective of psychology,this paper analyzes the causes and characteristics of college students’network mass incidents,explores the psychological factors of college students’network mass incidents,and puts forward the educational strategies to solve college students’network mass incidents:(1)Adhere to humanism and take appeals as the center;(2)To improve the campus network public opinion guidance mechanism under the guidance of relevant social cognition theories;(3)Strengthen communication and improve communication skills;(4)Promote information disclosure and transparency,and eliminate uncertainty and ambiguity.

How temperature and hydrostatic pressure impact organic room temperature phosphorescence from H-aggregation of planar triarylboranes and the application in bioimaging

Highly efficient persistent organic room temperature phosphorescence(RTP) has attracted increasing attention because of promising applications in fields of chemical sensors, optoelectronic devices, information security, and bioimaging, etc. Wherein,the crystal engineering of H-aggregation offers stabilization for long-lived triplet exciton for RTP, but the related research is rare because of the scarcity of ideal phosphorescent H-aggregate. Herein, we designed planar tricoordinate organoboron derivatives with molecular arrangement in ideal H-aggregation. The integration of Br atom can largely enhance RTP efficiency through increasing SOC effect, while the antiparallel molecular arrangement causes annihilation of triplet exciton. Thanks to good selfassembly property, their RTP can even be observed in PMMA matrix with doping ratio of merely 1 wt%. We further found that the cryogenic temperature contributes to stabilizing triplet exciton in H-aggregation, leading to red-shifted phosphorescence. By applying high hydrostatic pressure, the phosphorescence was largely enhanced and redshifted, demonstrating the crucial role of H-aggregation on RTP property. In phosphorescent tissue imaging of live mouse, nanoparticles of BrBA exhibited high contrast image via eliminating the interference of autofluorescence.

Network Group Psychological Education of College Students

Based on the perspective of psychology,this paper analyzes the causes and characteristics of college students’network mass incidents,explores the psychological factors of college students’network mass incidents,and puts forward the educational strategies to solve college students’network mass incidents:No.1.Adhere to humanism and take appeals as the center;No.2.To improve the campus network public opinion guidance mechanism under the guidance of relevant social cognition theories;No.3.Strengthen communication and improve communication skills;No.4.Promote information disclosure and transparency,and eliminate uncertainty and ambiguity.

Clinical Epidemiology,Illness Profiles,and the Implication of COVID-19 Before and After the Nationwide Omicron Outbreak During the Winter of 2022

China.In this study,we aimed to investigate the clinical characteristics and outcomes of patients with coronavirus disease 2019(COVID-19)in the Beijing region.Methods:In this retrospective study,we enrolled inpatients admitted for COVID-19 in the Fifth Medical Center of Chinese PLA General Hospital in Beijing between November 10,2022,and January 30,2023.Demographic and clinical features and treatment outcomeswere comprehensively analyzed.We used logistic regression and linear regression analyses to explore the risk factors associated with disease severity and time of nucleic acid conversion,respectively.Results:A total of 1010 hospitalized patients with COVID-19 were enrolled.The median age was 43.0 years(interquartile range,28.0–63.0),and patients aged<60 years and≥60 years comprised 71.2%and 28.8%of total included patients,respectively.The clinical classification of mild(74.6%,753/1010),moderate(21.0%,212/1010),severe(2.7%,27/1010),and unidentified(1.8%,18/1010)was separately recorded;1005 patients were discharged,and 5 patients died in the hospital.The outbreak of the emerging epidemic witnessed an evident increase in the proportion of moderate(42.9%vs.16.4%)and severe(10.3%vs.1.1%)cases after December 7,2022.Patients with a moderate/severe classification had higher levels of procalcitonin,IL-6,serum ferritin,C-reactive protein,lactic dehydrogenase,serum urea nitrogen,and D-dimer and lower counts of CD4+T,CD8+T,and B cells(all P<0.001).Multivariable regression analysis revealed that increased odds of disease severity were associated with the following factors:age≥60 years,IL-6>7 pg/mL,lactic dehydrogenase level>245 U/L,cough,and fever at admission.Age≥80 years and chronic lung diseasewere independent risk factors in the nonmild group in elderly patients.In addition,the duration for nucleic acid to turn negativewas approximately 5.0 d(interquartile range,3.0–7.0).Prolonged time of nucleic acid conversion was associated with age≥60 years,serum urea nitrogen level>8.2 mmol/L,neutrophil count>7×10^(9)/L,and the presence of a chronic lung disease or carcinoma.Finally,unvaccinated patients accounted for 37.3%of enrolled patients;children and the elder people accounted for approximately half of that.The univariable analysis found that booster doses reduced disease severity and shortened the time of nucleic acid conversion in elderly patients.Conclusions:The outbreak ofOmicron rapidly increased the number of patientswith COVID-19 in Beijing.In elderly patients,booster doses may reduce disease severity and shorten the time of nucleic acid conversion.Healthcare systems should be optimized before an emerging epidemic outbreak.

Analysis of the Degree of Convenience of Xi'an Metro Station

Urban subways have developed rapidly in recent years and has gradually become the primary choice of public transportation in big cities.Subways can effectively alleviate urban traffic congestion and improve passengers’green travel experience,especially in the old urban areas where urban space is limited,community facilities are aging and historical features are gathered.Subways play a huge role in guiding the expansion of urban space form and improving urban landscape environment.As the only channel for passengers to get in and out of the station,the subway entrance and exit act as a bridge.It is not only the transition space between the subway station space and the urban above ground space,but also an important node for the exchange and circulation of various elements in the urban space.In this paper,the influencing factors of subway entrance and exit space environments in the old city were investigated,and relevant basis for future planning,design,and construction of subway entrances and exits were provided.Firstly,the research results and shortcomings of subway entrance and exit channels were outlined.Secondly,based on the perspective of residents and passengers,this paper uses the analytic hierarchy process to determine six first-class evaluation indexes,including safety,convenience,practicability and aesthetics.This paper constructs the evaluation system of spatial environment index of subway station entrances and exits in the old urban area of Xi’an.Lastly,according to the evaluation results,the paper puts forward the targeted optimization strategies for the current situation of the entrance and exit space environment of the subway stations in the Xi’an.

CEPC Technical Design Report

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.

Few-shot incremental radar target recognition framework based on scattering-topology properties

The continuous emergence of new targets in open scenarios leads to a substantial decrease in the performance of Inverse Synthetic Aperture Radar(ISAR)recognition systems.Also,data scarcity further exacerbates the challenge of identifying new classes of ISAR targets.In this paper,a few-shot incremental target recognition framework based on Scattering-Topology Properties(STPIL)is proposed.Specifically,STPIL extracts scattering-topology properties of ISAR targets as recognition features.Meanwhile,the pseudo-incremental training strategy effectively alleviates the algorithm’s forgetting of old knowledge,and improves compatibility with new classes.Besides,a feature embedding network,with few parameters,is designed based on the graph neural network.This embedding network is highly adaptable to changes in data distribution.Additionally,STPIL fully considers the joint distribution and marginal distribution in scattering features,and uses the Brownian distance metric module to make the scattering-topology features more discriminative.Experimental results on both the simulation dataset and the public measured data indicate that STPIL can effectively balance new classes with old classes,and has superior performance to other advanced methods in the incremental recognition of targets.

Evidence chain-based causality identification in herb-induced liver injury： exemplification of a well-known liver-restorative herb Polygonum multiflorum

Herbal medicines have recently been recognized as the second most common cause of drug-induced liver injury （DILI） in the United States. However, reliable methods to identify the DILl causality of some herbs, such as Heshouwu （dried root ofPolygonum multiflorum）, remain lacking. In this study, a total of 12 307 inpatients with liver dysfunction and 147 literature-reported cases of Heshouwu DILI were screened. A general algorithm indicated that only 22.5% （9/40） and 30.6% （45/147） of all hospitalization and literature case reports, respectively, demonstrate the high probability of DILI causality of Heshouwu. By contrast, 95% （19/20） of all cases prospectively investigated by pharmacognosy, phytochemistry, and metabolomic tests exhibited highly probable causality, including a patient who was previously incorrectly attributed and a case that was excluded from Heshouwu causality by pharmacognostic evidence. Toxin （heavy metals, pesticides, and mycotoxins） contamination was also excluded from Heshouwu DILI causality. The objectivity of these screening methods for Heshouwu DILI diagnosis addresses safety concerns regarding stilbene-containing herbal medicines and dietary supplements.

The efficacy of augmentative anti-rotational plating plus decortication and autogenic bone grafting for aseptic nonunion after intramedullary nailing of femoral shaft fracture

Background:Femoral interlocking intramedullary(IM)nailing fixation is an effective method for the treatment of femoral shaft fractures.Aseptic nonunion of femoral shaft fracture after IM nailing is uncommon.Currently,the treatment for aseptic femoral shaft nonunion is controversial.The aim of this study was to investigate the clinical effect of augmentative antirotational plating plus decortication and autogenic bone grafting for aseptic femoral shaft nonunion after IM nailing failure.Methods:A retrospective study was conducted on 25 cases of aseptic femoral shaft fracture nonunion treated with IM nailing from January 2015 to August 2019.All patients were treated by leaving the nail in situ,debridement of nonunionsites,decortication,autogenous iliac bone grafting,and augmentative antirotational plating fixation.The time to fracture union and complications were recorded.Results:All patients were followed up for 12–18 months.The union rate after revision surgery was 100%.The average union time was 5.5months(range,4-10).Subjective pain symptoms had disappeared in all patients.There were no incision infections or internal fixator fatigue fractures.Average scores of the physical function and bodily pain components of the SF-36 were 95.5(range,91-98)and 94.1(range,90-97),respectively.No other obvious complications occurred postoperatively.Conclusion:Augmentative antirotational plating plus decortication and autogenic bone grafting is an excellent choice for treating femoral shaft fracture nonunion after IM nailing;this approach has an overall high union rate and few complications.

Diagnosis and Treatment Guidelines for Mesenchymal Stem Cell Therapy for Coronavirus Disease 2019(Beijing,2021)

The coronavirus disease 2019(COVID-19)can be caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection,and has led to millions of deaths among more than 100 million infected people around the world according to the declaration from World Health Organization.Dysregulated immune response of both the innate and adaptive immune systems is subsistent on COVID-19 patients,of which the degree are associated with disease severity,lung damage and long term functional disability.Current treatment options have included antiretroviral drugs,anti-inflammatory factors,antibodies,immune checkpoint inhibitors,and convalescent plasma therapy.More recently,mesenchymal stem cell(MSC)therapy has been explored for the management and control of COVID-19,particularly with the aim of preventing or at least mitigating respiratory co-morbidities.Though the safety and efficacy of stem cell therapy have been validated in multiple phase I–III clinical trials,to date,no standardized stem cell preparation,administration dosage or interval,product QA/QC testing,storage,transportation,or disposal protocols have been established.The present paper proposes a systematic methodology that addresses all the foregoing process steps and evaluation criteria for the efficacious and safe administration of MSCs in the treatment of patients infected with COVID-19.

近年来“传统”在大众文化中的“生长”——以“现象级”影视作品为探讨中心

对于传统文化和大众文化的关系,不必采取截然二分的办法,而是要具备更为通达的视野。本文以近年来的"现象级"影视作品为中心,考察传统文化在大众文化中的"生长"机理。从表现形态而言,这些作品逐渐呈现平民化与年轻化的趋势。从内核来说,其所传播的知识、价值和意趣,都彰显了中华传统文化的主体性。前者是"传统"生长的重要方式,而后者才是其生长的实质内容。展望未来,如何通过大众文化让中国传统在国人心中扎根,避免西方个人主义下过度娱乐化对个体道德和共同体生活带来的消极作用,化解西方的文化殖民与文化霸权,还需要不断研究和探索。