Characterization and quantification of multi-field coupling in lithium-ion batteries under mechanical constraints

The safety and durability of lithium-ion batteries under mechanical constraints depend significantly on electrochemical,thermal,and mechanical fields in applications.Characterizing and quantifying the multi-field coupling behaviors requires interdisciplinary efforts.Here,we design experiments under mechanical constraints and introduce an in-situ analytical framework to clarify the complex interaction mechanisms and coupling degrees among multi-physics fields.The proposed analytical framework integrates the parameterization of equivalent models,in-situ mechanical analysis,and quantitative assessment of coupling behavior.The results indicate that the significant impact of pressure on impedance at low temperatures results from the diffusion-controlled step,enhancing kinetics when external pressure,like 180 to 240 k Pa at 10℃,is applied.The diversity in control steps for the electrochemical reaction accounts for the varying impact of pressure on battery performance across different temperatures.The thermal expansion rate suggests that the swelling force varies by less than 1.60%per unit of elevated temperature during the lithiation process.By introducing a composite metric,we quantify the coupling correlation and intensity between characteristic parameters and physical fields,uncovering the highest coupling degree in electrochemical-thermal fields.These results underscore the potential of analytical approaches in revealing the mechanisms of interaction among multi-fields,with the goal of enhancing battery performance and advancing battery management.

景电灌区农业灌溉需水量的影响因素分析与预测

气候变化不仅影响灌区水资源量及其分布,也会改变作物需水规律,影响灌区农业灌溉需水量。本文依据景泰县气象站1958-2017年气象资料及景电灌区1998-2017年种植面积和种植结构资料,利用通径分析法研究了气候变化和人类活动对景电灌区农业灌溉需水量的影响特征,并建立相关回归预测模型。研究结果表明,各影响因素对灌区农业灌溉需水量影响作用大小依次为种植面积、日照时数、平均气温、平均风速、经济作物比、平均相对湿度、降水量;建立的回归模型对灌区农业灌溉需水量的预测精度较高,适用于于灌区未来农业灌溉需水量的预测。

甘肃景电灌区农业节水潜力和农业节水对策研究

灌区农业节水潜力研究对灌区制定合理的灌溉制度、灌区水资源合理配置和灌溉水高效利用及缓解灌区供需水矛盾具有十分重要的意义。结合甘肃景电灌区实际,开展景电灌区农业节水潜力的研究,并根据灌区水资源短缺现状、灌溉工程实际及灌溉水利用率较低的问题,提出应以推广节水型地面灌溉新技术为主,在井灌区积极推广低压管道输水技术,渠灌区应重点加强渠系续建配套与节水改造,全面提高景电灌区节水灌溉管理水平;同时应和农业节水技术相结合,采取综合节水农业技术,解决好运行机制问题,从政策、法规、管理体制和服务体系等方面,不断调整和完善,为灌区节水改造建设奠定基础。

基于多元逐步回归的大型灌区年退水量预测模型研究

对于水资源短缺的西北地区,研究大型引黄灌区退水规律及退水量预测对灌区水资源高效利用和灌区水资源管理具有十分重要的意义。本文利用宁夏青铜峡灌区的实测资料,通过灰色关联分析法研究了宁夏引黄灌区年退水量的影响因素和预测模型,得出影响灌区退水量的主要因素依次为灌溉引水量、地下水位、降水量和蒸发量;建立了灌区退水量的多元逐步回归预测模型,并对青铜峡灌区退水量进行了预测研究,结果表明,该模型具有较高的预测精度,研究成果为灌区水资源高效利用奠定了科学基础。

Preparation and Functional Design of Polyethyleneimine Reinforced Nanocellulose-based Aerogel

An aerogel electrode composed of conductive active materials based on nanocellulose aerogels can absorb more electrolytes,as well as enhance electron transport and ion diffusion channels.In the present study,aerogels with high strength were successfully prepared using 2,2,6,6-tetramethyl-1-piperidinyloxy free radical(TEMPO)-oxidized cellulose nanofibrils(CNF)as a raw material and polyethyleneimine(PEI)as a crosslinking agent.Simultaneously,functional electrode materials were prepared via self-assembly.Based on our findings,PEI can significantly improve the water and solvent solubility and enhance the wet strength and shape recovery ability of CNF aerogels.Meanwhile,the minimum density of the aerogel reached 0.0160 g/cm3,the maximum porosity was approximately 98.5%,and the maximum stress approximated 0.02 MPa.Furthermore,electrochemical tests revealed that after self-assembly of reduced graphene oxide(RGO)and polyaniline(PANI)solution,the mass specific capacitance of the functional composite aerogel was approximately 92 F/g and exhibited good chargedischarge performance.

Adsorption of Cu^(2+)by Crosslinked Graft Copolymers of Starch

With the use of acrylic acid(AA)as a monomer,humic acid(HA)and starch as raw materials,potassium persulfate(KPS)as initiator,and N,Ndimethylacrylamide(MBA)as a cross-linking agent,AA/HA/Starch graft copolymer was prepared and characterized by SEM and FT-IR.The effects of temperature,adsorption time,adsorbent dosage,pH value and Cu^(2+)initial concentration of the solution on the adsorption performance of the crosslinked graft copolymer were also investigated.The results showed that the Cu^(2+)adsorption capacity of the AA/HA/Starch graft copolymer increased firstly and then decreased with increasing adsorbent dosage and the initial pH value of Cu^(2+)solution.With the increase of Cu^(2+)initial concentration and the extension of adsorption time,the adsorption amount of Cu^(2+)increased rapidly and then stabilized.And it decreased slightly with the increase of temperature.At pH value of 5.5,temperature of 298 K,adsorbent dosage of 50 mg,adsorption time of 125 min,and 100 mL Cu^(2+)solution with Cu^(2+)initial concentration of 100 mg/L,the Cu^(2+)adsorption capacity of the crosslinked graft copolymer was 238 mg/g.The adsorption of Cu^(2+)by the adsorbent followed the pseudo-second-order kinetic equation and Langmuir isothermal adsorption model,and the adsorption was attached to monolayer chemical adsorption.This study proved that AA/HA/Starch graft copolymer could be used as an efficient adsorbent for the removal of harmful and toxic metal cations such as Cu^(2+)from industrial wastewater.

Efficient Activity Enhancement of a Lipase from Sporisorium reilianum for the Synthesis of a Moxifloxacin Chiral Intermediate via Rational Design

Lipase-catalyzed stereoselective resolution of cis-(±)-dimethyl 1-acetylpiperidine-2,3-dicarboxylate(cis-(±)-1)is an attractive route for the synthesis of(S,S)-2,8-diazobicyclo[4.3.0]nonane,an important chiral intermediate of the fluoroquinolone antibiotic,moxifloxacin.In our previous study,a lipase from Sporisorium reilianum(SRL)was identified to possess excellent thermostability and pH stability.However,the low enzymatic activity of the SRL is a challenge that must be addressed.A rational design was initially employed for SRL tailoring according to the engineered Candida antarctica lipase B(CALB),resulting in a beneficial variant called SRL-I194N/V195L.Subsequently,two key amino acid residues in loop 6,L145 and L154,which might modulate the lid conformation between open and closed,were identified.A tetra-site variant,SRL-I194N/V195L/L145V/L154G(V13),with a significantly enhanced activity of 87.8 U∙mg^(−1) was obtained;this value was 2195-fold higher than that of wild-type SRL.Variant V13 was used to prepare optically pure(2S,3R)-dimethyl 1-acetylpiperidine-2,3-dicarboxylate((2S,3R)-1),resolving 1 mol∙L^(−1) cis-(±)-1 with a conversion of 49.9%in 2 h and absolute stereoselectivity(E>200).Excellent stability with a half-life of 92.5 h was also observed at 50℃.Overall,the study findings reveal a lipase with high activity toward cis-(±)-1 at an industrial level and may offer a general strategy for enhancing the enzyme activity of other lipases and other classes of enzymes with a lid moiety.

Optimal Energy Efficiency Resource Allocation Strategy for Cognitive Clustering Network under PUEA Attack

5G has pushed the use of radio spectrum to a new level,and cognitive clustering network can effectively improve the utilization of radio spectrum,which is a feasible way to solve the growing demand for wireless communications.However,cognitive clustering network is vulnerable to PUEA attack,which will lead to the degradation of system detection performance,thereby reducing the energy efficiency.Aiming at these problems,this paper investigates the optimal energy efficiency resource allocation scheme for cognitive clustering network under PUEA attack.A cooperative user selection algorithm based on selection factor is proposed to effectively resist PUEA user attack and improve detection performance.We construct the energy efficiency optimization problem under multi-constraint conditions and transform the nonlinear programming problem into parametric programming problem,which is solved by Lagrangian function and Karush-Kuhn-Tucker condition.Then the sub-gradient iterative algorithm based on optimal energy efficiency under PUEA attack is proposed and its complexity is analyzed.Simulation results indicate that proposed method is effective when subjected to PUEA attacks,and the impact of different parameters on energy efficiency is analyzed.

Alzheimer’s disease early diagnostic and staging biomarkers revealed by large-scale cerebrospinal fluid and serum proteomic profiling

Amyloid-b,tau pathology,and biomarkers of neurodegeneration make up the core diagnostic biomarkers of Alzheimer disease(AD).However,these proteins represent only a fraction of the complex biological processes underlying AD,and individuals with other brain diseases in which AD pathology is a comorbidity also test positive for these diagnostic biomarkers.More ADspecific early diagnostic and disease staging biomarkers are needed.In this study,we performed tandem mass tag proteomic analysis of paired cerebrospinal fluid(CSF)and serum samples in a discovery cohort comprising 98 participants.Candidate biomarkers were validated by parallel reaction monitoring–based targeted proteomic assays in an independent multicenter cohort comprising 288 participants.We quantified 3,238 CSF and 1,702 serum proteins in the discovery cohort,identifying 171 and 860 CSF proteins and 37 and 323 serum proteins as potential early diagnostic and staging biomarkers,respectively.In the validation cohort,58 and 21 CSF proteins,as well as 12 and 18 serum proteins,were verified as early diagnostic and staging biomarkers,respectively.Separate 19-protein CSF and an 8-protein serum biomarker panels were built by machine learning to accurately classify mild cognitive impairment(MCI)due to AD from normal cognition with areas under the curve of 0.984 and 0.881,respectively.The 19-protein CSF biomarker panel also effectively discriminated patients with MCI due to AD from patients with other neurodegenerative diseases.Moreover,we identified 21 CSF and 18 serum stage-associated proteins re-flecting AD stages.Our findings provide a foundation for developing bloodbased tests for AD screening and staging in clinical practice.

三种蛋白质生物素化化学方法的比较研究

本文以N-羟基丁二酰亚胺(N-Hydroxy succinimide,NHS)活化酯偶联法原理为基础,探究结晶偶联法、反应液直接偶联法及二环己基碳二亚胺(dicyclohexylcarbodiimide,DCC)偶联法之间的优劣。旨在为实验室安全有效、快捷便利地进行蛋白质生物素化提供更优选择。分别用上述三种方法对牛血清白蛋白(bovine albumin,BSA)进行生物素偶联实验,用SDS-聚丙烯酰胺凝胶电泳(SDS-polyacrylamide gel electrophoresis,SDS-PAGE)以及紫外波谱扫描特征吸收峰鉴定偶联产物,用凝胶成像系统及Image Lab软件操作系统测定偶联产物相对分子质量,以此确定偶联比。结合上述定性、定量结果对三种偶联方法进行评价。结果显示,三种方法均可以将生物素偶联到BSA上。结晶偶联法首先通过化学合成活化酯并结晶,产率为37.28%,熔点为214~217,偶联比为8.9,单次反应成本128.71元;直接偶联法偶联比为7.0,单次反应成本34.01元;DCC偶联法偶联比为2.2,单次反应成本33.81元。综上可知,反应液直接偶联法相较于结晶法,其偶联效果与结晶偶联法相差无几;相较于DCC偶联法,其偶联反应进行过程中对载体蛋白的变性损失更小。且反应液直接偶联法操作简单,用时较短,过程安全,价格低廉。

DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery

To address the increasing need for detecting and validating protein biomarkers in clinical specimens,mass spectrometry(MS)-based targeted proteomic techniques,including the selected reaction monitoring(SRM),parallel reaction monitoring(PRM),and massively parallel dataindependent acquisition(DIA),have been developed.For optimal performance,they require the fragment ion spectra of targeted peptides as prior knowledge.In this report,we describe a MS pipeline and spectral resource to support targeted proteomics studies for human tissue samples.To build the spectral resource,we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker.We then applied the workflow to generate DPHL,a comprehensive DIA pan-human library,from 1096 data-dependent acquisition(DDA)MS raw files for 16 types of cancer samples.This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer(PCa)patients.Thereafter,PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated.As a second application,the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma(DLBCL)patients and 18 healthy control subjects.Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM.These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery.DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.

A wireless, implantable optoelectrochemical probe for optogenetic stimulation and dopamine detection

Physical and chemical technologies have been continuously progressing advances in neuroscience research.The development of research tools for closed-loop control and monitoring neural activities in behaving animals is highly desirable.In this paper,we introduce a wirelessly operated,miniaturized microprobe system for optical interrogation and neurochemical sensing in the deep brain.Via epitaxial liftoff and transfer printing,microscale light-emitting diodes(micro-LEDs)as light sources and poly(3,4-ethylenedioxythiophene)polystyrene sulfonate(PEDOT:PSS)-coated diamond films as electrochemical sensors are vertically assembled to form implantable optoelectrochemical probes for real-time optogenetic stimulation and dopamine detection capabilities.A customized,lightweight circuit module is employed for untethered,remote signal control,and data acquisition.After the probe is injected into the ventral tegmental area(VTA)of freely behaving mice,in vivo experiments clearly demonstrate the utilities of the multifunctional optoelectrochemical microprobe system for optogenetic interference of place preferences and detection of dopamine release.The presented options for material and device integrations provide a practical route to simultaneous optical control and electrochemical sensing of complex nervous systems.

Gut microbiota,inflammation,and molecular signatures of host response to infection

Gut microbial dysbiosis has been linked to many noncommunicable diseases.However,little is known about specific gut microbiota composition and its correlated metabolites associated with molecular signatures underlying host response to infection.Here,we describe the construction of a proteomic risk score based on 20 blood proteomic biomarkers,which have recently been identified as molecular signatures predicting the progression of the COVID-19.We demonstrate that in our cohort of 990 healthy individuals without infection,this proteomic risk score is positively associated with proinflammatory cytokines mainly among older,but not younger,individuals.We further discover that a core set of gut microbiota can accurately predict the above proteomic biomarkers among 301 individuals using a machine learning model and that these gut microbiota features are highly correlated with proinflammatory cytokines in another independent set of 366 individuals.Fecal metabolomics analysis suggests potential amino acid-related pathways linking gut microbiota to host metabolism and inflammation.Overall,our multi-omics analyses suggest that gut microbiota composition and function are closely related to inflammation and molecular signatures of host response to infection among healthy individuals.These results may provide novel insights into the cross-talk between gut microbiota and host immune system.

Expression and characterization of a CALB-type lipase from Sporisorium reillianum SRZ2 and its potential in short-chain flavor ester synthesis

A lipase from Sporisorium reilianum SRZ2(SRL)with 73%amino acid sequence identity to Candida antarctica lipase B(CALB)was cloned and overexpressed in Pichia pastoris.The recombinant SRL showed a preference for short-chain p-nitrophenyl esters.It achieved maximum activity at pH 8.0 and 65°C for p-nitrophenyl hexanoate(C6)with Km and kcar/Km values of 0.14 mmol·L-1 and 1712 min 1.mmol·L-1 at 30℃,respec-tively.SRL displayed excellent thermostability and pH stability,retaining more than 79%of its initial activity after incubation at 60℃ for 72h and 75%atpH 3to 11 for 72 h.It also maintained most of its activity in the presence of inhibitors and detergents except sodium dodecyl sulfate,and it tolerated organic solvents.SRL was covalently immobilized and successfully used for ethyl hexanoate synthesis in cyclohexane or in a solvent-free system with a high conversion yield(>95%).Furthermore,high con-version yield was also achieved for the synthesis of various short-chain flavor esters when high substrate concentra-tions of2 mol.LI were applied.This study indicated that a.CALB-type lipase from S.reiliamum SRZ2 showed great potential in organic ester synthesis.

An Optoelectronic thermometer based on microscale infrared-to-visible conversion devices

Thermometric detectors are crucial in evaluating the condition of target objects spanning from environments to the human body.Optical-based thermal sensing tools have received extensive attention,in which the photon upconversion process with low autofluorescence and high tissue penetration depth is considered as a competent method for temperature monitoring,particularly in biomedical fields.Here,we present an optoelectronic thermometer via infrared-to-visible upconversion,accomplished by integrated light receiving and emission devices.Fully fabricated thin-film,microscale devices present temperature-dependent light emission with an intensity change of 1.5%℃^(-1) and a spectral shift of 0.18 nm℃^(-1).The sensing mechanism is systematically characterized and ascribed to temperature dependent optoelectronic properties of the semiconductor band structure and the circuit operation condition.Patterned device arrays showcase the capability for spatially resolved temperature mapping.Finally,in vitro and in vivo experiments implemented with integrated fiber-optic sensors demonstrate real-time thermal detection of dynamic human activity and in the deep brain of animals,respectively.

Proteomics profiling of colorectal cancer progression identifies PLOD2 as a potential therapeutic target

Dear editors,Colorectal cancer(CRC)is the second leading cause of cancer deaths in developed countries[1].The malignant transformation from small clumps to cancer takes about 10 years[2].This study aimed to characterize proteomic dynamics associated with CRC development and progres-sion,and identify novel therapeutic targets for intercepting the underlying oncogenic processes.We have optimized pressure cycling technology(PCT)coupled with data-independent acquisition mass spectrometry(DIA-MS)for robust and reproducible proteomic analysis of biopsy-level formalin-fixed paraffin-embedded(FFPE)tissues[3].