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Characterizations of semihoops based on derivations

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Applied Mathematics(A Journal of Chinese Universities) 2024年第2期39卷 291-310页

作者： WANG Mei ZHANG xiao-hong School of Electrical and Control Engineering Shaanxi University of Science and TechnologyXi'an 710021China School of Arts and Sciences Shaanxi University of Science and TechnologyXi'an 710021China School of Mathematics and Statistics Weinan Normal UniversityWeinan 714099China

In this paper,we discuss the related properties of some particular derivations in semihoops and give some characterizations of ***,we prove that every Heyting algebra is isomorphic to the algebra of all multiplicative derivations and show that every Boolean algebra is isomorphic to the algebra of all implicative ***,we show that the sets of multiplicative and implicative derivations on bounded regular idempotent semihoops are in oneto-one correspondence.

关键词： (prelinear)semihoop derivation Heyting algebra Galois connection

Highly Sensitive and Selective Amperometric Sensor for Iodate Based on 9,10-Phenanthrenequinone Derived Graphene

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Chemical Research in Chinese Universities 2013年第1期29卷 132-138页

作者： WANG Hong-juan CHENG Na-na YANG xiao-yang LI xiao-meng ZHU Lian-de Faculty of Chemistry Northeast Normal University Changchun 130024 P. R. China

We reported on a new amperometric sensor for the sensitive and selective determination of iodate in table salt. The iodate sensor was constructed by the integration of a novel nanocomposite which was made from 9,10-phenanthrenequinone（PQ） and graphene（GP） with a glassy carbon electrode（GCE）. The synthesized graphene and the nanocomposite were well characterized by X-ray diffraction（XRD）, transmission electron microscopy（TEM）, Fourier transform infrared（FTIR） spectroscopy and Raman spectroscopy. We fully studied the electrochemical beha- vior and kinetic characteristics of the PQ/GP nanocomposite at GCE. The PQ/GP electrode shows a good electrochemical catalytic activity towards the reduction of iodate, which makes itself a sensitive and selective electrochemical sensor for iodate. The iodate sensor displays a high sensitivity（1.04 ***.L-1）, a low detection limit（1.0X 10-8 mol/L）, a rapid response（less than 2 s）, and a broad linear range（from 5.0X 10-8 mol/L to 6.0X 10-3 mol/L ）. In addition, the sensor is interference free. The practical application of the proposed sensor was tested by the detection of iodate in table salt.

关键词： 9,10-Phenanthrenequinone Graphene Amperometric sensor Iodate

Barley Protein LFBEP-C1 from Lactiplantibacillus plantarum dy-1 Fermented Barley Extracts by Inhibiting Lipid Accumulation in a Caenorhabditis elegans Model

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Biomedical and Environmental Sciences 2024年第4期37卷 377-386页

作者： ZHANG Jia Yan LIU meng Ting LIU Yu Hao DENG Huan BAI Juan XIE Jian Hua xiao Xiang School of Food and Biological Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina State Key Laboratory of Food Science and Technology Nanchang UniversityNanchang 330047JiangxiChina

Objective This study aimed to investigate the lipid-lowering activity of LFBEP-C1 in high glucose-fed Caenorhabditis elegans(***).Methods In this study,the fermented barley protein LFBEP-C1 was prepared and tested for its potential anti-obesity effects on *** worms were fed Escherichia coli OP50(*** OP50),glucose,and different concentrations of *** size,lifespan,movement,triglyceride content,and gene expression were *** results were analyzed using ANOVA and Tukey's multiple comparison *** Compared with the model group,the head-swing frequency of *** in the group of LFBEP-C1 at 20μg/mL increased by 33.88%,and the body-bending frequency increased by 27.09%.This indicated that LFBEP-C1 improved the locomotive ability of *** average lifespan of *** reached 13.55 days,and the body length and width of the *** decreased after LFBEP-C1 ***,LFBEP-C1 reduced the content of lipid accumulation and triglyceride *** expression levels of sbp-1,daf-2,and mdt-15 significantly decreased,while those of daf-16,tph-1,mod-1,and ser-4 significantly increased after LFBEP-C1 *** in these genes explain the signaling pathways that regulate lipid *** LFBEP-C1 significantly reduced lipid deposition in *** fed a high-glucose diet and alleviated the adverse effects of a high-glucose diet on the development,lifespan,and exercise behavior of *** addition,LFBEP-C1 regulated lipid metabolism mainly by mediating the expression of genes in the sterol regulatory element-binding protein,insulin,and 5-hydroxytryptamine signaling pathways.

关键词： LFBEP-C1 Fermentation Protein Caenorhabditis elegans Lipid accumulation Signaling pathway

Enhanced activation of peroxymonosulfate by Fe/N co-doped ordered mesoporous carbon with dual active sites for efficient removal of m-cresol

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Chinese Journal of Chemical Engineering 2024年第1期65卷 130-144页

作者： Donghui Li Wenzhe Wu Xue Ren Xixi Zhao Hongbing Song meng xiao Quanhong Zhu Hengjun Gai Tingting Huang College of Chemical Engineering Qingdao University of Science and TechnologyQingdao 266042China School of Chemical&Environmental Engineering China University of Mining&Technology-BeijingBeijing 100083China

The novel Fe-N co-doped ordered mesoporous carbon with high catalytic activity in m-cresol removal was prepared by urea-assisted impregnation and simple pyrolysis *** the preparation of the Fe-NC catalyst,the complexation of N elements in urea could anchor Fe,and the formation of C3N4during urea pyrolysis could also prevent migration and aggregation of Fe species,which jointly improve the dispersion and stability of *** FeN4sites and highly dispersed Fe nanoparticles synergistically trigger the dual-site peroxymonosulfate (PMS) activation for highly efficient m-cresol degradation,while the ordered mesoporous structure of the catalyst could improve the mass transfer rate of the catalytic process,which together promote catalytic degradation of m-cresol by PMS *** oxygen species (ROS) analytic experiments demonstrate that the system degrades m-cresol by free radical pathway mainly based on SO_(4)^(-)·and·OH,and partially based on·OH as the active components,and a possible PMS activation mechanism by 5Fe-50 for m-cresol degradation was *** study can provide theoretical guidance for the preparation of efficient and stable catalysts for the degradation of organic pollutants by activated PMS.

关键词： Degradation Peroxymonosulfate Fe(II)/Fe(III)/FeN4 Ordered mesopores carbon Catalyst Radical

A deep learning model based on contrast-enhanced computed tomography for differential diagnosis of gallbladder carcinoma

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Hepatobiliary & Pancreatic Diseases International 2024年第4期23卷 376-384页

作者： Fei Xiang Qing-Tao meng Jing-Jing Deng Jie Wang xiao-Yuan Liang Xing-Yu Liu Sheng Yan Department of Hepatobiliary Pancreatic Surgery Second Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China Department of Radiology Affiliated Chuzhou First People’s HospitalAnhui Medical UniversityChuzhou 239000China

Background:Gallbladder carcinoma(GBC)is highly malignant,and its early diagnosis remains *** study aimed to develop a deep learning model based on contrast-enhanced computed tomography(CT)images to assist radiologists in identifying ***:We retrospectively enrolled 278 patients with gallbladder lesions(>10 mm)who underwent contrast-enhanced CT and cholecystectomy and divided them into the training(n=194)and validation(n=84)*** deep learning model was developed based on ResNet50 *** and clinical models were built based on support vector machine(SVM)*** comprehensively compared the performance of deep learning,radiomics,clinical models,and three ***:Three radiomics features including LoG_3.0 gray-level size zone matrix zone variance,HHL firstorder kurtosis,and LHL gray-level co-occurrence matrix dependence variance were significantly different between benign gallbladder lesions and GBC,and were selected for developing radiomics *** regression analysis revealed that age≥65 years[odds ratios(OR)=4.4,95%confidence interval(CI):2.1-9.1,P37 U/mL(OR=4.0,95%CI:1.6-10.0,P=0.003)were significant clinical risk factors of *** deep learning model achieved the area under the receiver operating characteristic curve(AUC)values of 0.864(95%CI:0.814-0.915)and 0.857(95%CI:0.773-0.942)in the training and validation datasets,which were comparable with radiomics,clinical models and three *** sensitivity of deep learning model was the highest both in the training[90%(95%CI:82%-96%)]and validation[85%(95%CI:68%-95%)]***:The deep learning model may be a useful tool for radiologists to distinguish between GBC and benign gallbladder lesions.

关键词： Gallbladder carcinoma Computed tomography Deep learning Radiomics

Computed tomography-based radiomics combined with machine learning allows differentiation between primary intestinal lymphoma and Crohn's disease

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World Journal of Gastroenterology 2024年第25期30卷 3155-3165页

作者： meng-Jun xiao Yu-Teng Pan Jia-He Tan Hai-Ou Li Hai-Yan Wang Department of Radiology Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan 250021Shandong ProvinceChina Medical Science and Technology Innovation Center Shandong First Medical University&Shandong Academy of Medical SciencesJinan 250000Shandong ProvinceChina University of California DavisCA 95616United States Qilu Hospital Cheeloo College of MedicineShandong UniversityJinan 250012Shandong ProvinceChina

BACKGROUND Due to similar clinical manifestations and imaging signs,differential diagnosis of primary intestinal lymphoma(PIL)and Crohn's disease(CD)is a challenge in clinical *** To investigate the ability of radiomics combined with machine learning methods to differentiate PIL from *** We collected contrast-enhanced computed tomography(CECT)and clinical data from 120 patients form center 1.A total of 944 features were extracted singlephase images of CECT *** the last absolute shrinkage and selection operator model,the best predictive radiographic features and clinical indications were *** from 54 patients were collected at center 2 as an external validation set to verify the robustness of the *** area under the receiver operating characteristic curve,accuracy,sensitivity and specificity were used for *** A total of five machine learning models were built to distinguish PIL from *** on the results from the test group,most models performed well with a large area under the curve(AUC)(>0.850)and high accuracy(>0.900).The combined clinical and radiomics model(AUC=1.000,accuracy=1.000)was the best model among all *** Based on machine learning,a model combining clinical data with radiologic features was constructed that can effectively differentiate PIL from CD.

关键词： Primary intestinal lymphoma Crohn's disease Radiomics Machine learning Diagnosis

Impact of oxygen incorporation on interface optimization and defect suppression for efficiency enhancement in Cu_(2)ZnSn(S,Se)_(4)solar cells

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Journal of Energy Chemistry 2024年第8期95卷 77-85,I0003页

作者： Shicheng Deng Songfan Wang Yuanyuan Wang Qian xiao Yuena meng Dongxing Kou Wenhui Zhou Zhengji Zhou Zhi Zheng Sixin Wu Key Laboratory for Special Functional Materials of MOE National&Local Joint Engineering Research Centre for High-efficiency Display and Lighting TechnologySchool of MaterialsHenan UniversityKaifeng 475004HenanChina Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province Institute of Surface Micro and Nano MaterialsCollege of Chemical and Materials EngineeringXuchang UniversityXuchang 461000HenanChina

Kesterite Cu_(2)ZnSn(S,Se)_(4)(CZTSSe)solar cells suffer from severe carrier recombination,limiting the photovoltaic *** energy band alignment at the p-n junction and defective front interface are two main ***,oxygen incorporation in CZTSSe via absorber air-annealing was developed as a strategy to optimize its surface photoelectric property and reduce the *** optimized oxygen incorporation conditions,the carrier separation and collection behavior at the front interface of the device is *** particular,it is found that oxygen incorporated absorber exhibits increased band bending,larger depletion region width,and suppressed absorber *** indicate the dynamic factors for carrier separation become ***,the increased potential difference between grain boundaries and intra grains combined with the decreased concentration of interface deep level defect in the absorber provide a better path for carrier *** a consequence,the champion efficiency of CZTSSe solar cells has been improved from 9.74%to 12.04%with significantly improved open-circuit voltage after optimized air-annealing *** work provides a new insight for interface engineering to improve the photoelectric conversion efficiency of CZTSSe devices.

关键词： Kesterite Thin film solar cell Interface optimization Surface oxidation Defect suppression

Thermodynamic nature of black holes in coexistence region

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Science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 27-32页

作者： Shao-Wen Wei Yu-xiao Liu Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Provinceand Key Laboratory of Quantum Theory and Applications of Mo ELanzhou UniversityLanzhou 730000China Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China

Studying the system state of coexistence regions will peek into to reveal microscopic interactions between different phases of a thermodynamic ***,there is no effective method to study thermodynamic nature of the coexistence black hole regions for the failure of the equation of *** at these coexistence states,in this work,we develop a general approach by introducing two new ratio *** first one is the ratio of the horizon radii of the saturated coexistence small and large black holes,and the second one measures that of the small black hole molecule number to the total molecule *** demonstrate that the first parameter can serve as an order parameter to characterize the first-order phase *** study also shows that the black hole state in the coexistence region is uniquely determined by these two introduced parameters bounded between 0 and *** results are quite significant in the analytical study of phase transition and the microscopic nature of black hole in the coexistence regions.

关键词： transition. state. thermodynamic

High-throughput screening of single-atom catalysts confined in monolayer black phosphorus for efficient nitrogen reduction reaction

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Nano Research 2024年第4期17卷 2360-2367页

作者： xiao-Yan Li Manyi Duan Pengfei Ou Department of Electrical and Computer Engineering University of TorontoTorontoOntario M5S 1A4Canada School of Physics and Electronic Engineering Sichuan Normal UniversityChengdu 610101China Department of Chemistry Northwestern UniversityEvanstonIL 60208USA

The discovery of metal-nitrogen centers as the active sites for electrolysis has aroused significant interest in utilizing single-atom catalysts for nitrogen reduction reaction(NRR).Properly designed nanostructured catalysts that strongly interact with nitrogen molecules(N_(2))can promote adsorption and activation,thereby resulting in efficient catalysts with high stability,activity,and *** this study,using density functional theory calculations,we selected monolayer black phosphorus(BP)as the substrate and screened a series of single-atom transition metals confined in tri-coordinated and tetra-coordinated active centers(without and with N dopants)to electro-catalyze *** a result,we have identified two promising candidates(Hf_(1)-N_(1)P_(2)-1 and Tc_(1)-N_(4)),which exhibit not only low overpotentials of 0.56 and 0.49 V but also high thermodynamic and electrochemical stability,as well as good selectivity towards NRR over the competing hydrogen evolution *** also demonstrate the ability of Hf_(1)-N_(1)P_(2)-1 and Tc_(1)-N_(4) to activate and hydrogenate N_(2) by donating electrons and regulating charge *** study not only predicts new BP-based promising catalysts but also provides guidance for the rational design of high-performance NRR electrocatalysts under ambient conditions.

关键词： N_(2) electroreduction reaction single-atom catalysts black phosphorus density functional theory high-throughput calculations