Contract Mechanism of Water Environment Regulation for Small and Medium Sized Enterprises Based on Optimal Control Theory

The small and scattered enterprise pattern in the county economy has formed numerous sporadic pollution sources, hindering the centralized treatment of the water environment, increasing the cost and difficulty of treatment. How enterprises can make reasonable decisions on their water environment behavior based on the external environment and their own factors is of great significance for scientifically and effectively designing water environment regulation mechanisms. Based on optimal control theory, this study investigates the design of contractual mechanisms for water environmental regulation for small and medium-sized enterprises. The enterprise is regarded as an independent economic entity that can adopt optimal control strategies to maximize its own interests. Based on the participation of multiple subjects including the government, enterprises, and the public, an optimal control strategy model for enterprises under contractual water environmental regulation is constructed using optimal control theory, and a method for calculating the amount of unit pollutant penalties is derived. The water pollutant treatment cost data of a paper company is selected to conduct empirical numerical analysis on the model. The results show that the increase in the probability of government regulation and public participation, as well as the decrease in local government protection for enterprises, can achieve the same regulatory effect while reducing the number of administrative penalties per unit. Finally, the implementation process of contractual water environmental regulation for small and medium-sized enterprises is designed.

Biomedical rare-earth magnesium alloy:Current status and future prospects

Biomedical magnesium(Mg)alloys have garnered significant attention because of their unique biodegradability,favorable biocompatibility,and suitable mechanical properties.The incorporation of rare earth(RE)elements,with their distinct physical and chemical properties,has greatly contributed to enhancing the mechanical performance,degradation behavior,and biological performance of biomedical Mg alloys.Currently,a series of RE-Mg alloys are being designed and investigated for orthopedic implants and cardiovascular stents,achieving substantial and encouraging research progress.In this work,a comprehensive summary of the state-of-the-art in biomedical RE-Mg alloys is provided.The physiological effects and design standards of RE elements in biomedical Mg alloys are discussed.Particularly,the degradation behavior and mechanical properties,including their underlying action are studied in-depth.Furthermore,the preparation techniques and current application status of RE-Mg alloys are reviewed.Finally,we address the ongoing challenges and propose future prospects to guide the development of high-performance biomedical Mg-RE alloys.

Study on the Photosynthetic Characteristics of Six Varieties(Strains)in Chinese Chestnut

[Objectives]This study was conducted to investigate the differences of photosynthetic physiological characteristics of different varieties(strains),which will provide a theoretical basis for high photosynthesis efficiency breeding and application in Chinese chestnut.[Methods]Six Chinese chestnut varieties of Castanea mollissima‘Yanbao’,C.mollissima‘Yanqiu’,C.mollissima‘Yanchang’,C.mollissima‘Yanjia’,C.mollissima‘Qianxi 37’,and C.mollissima‘Hybrid 22’were used as the materials.Using the portable photosynthesis system Li-6400,we measured the photosynthetic characteristics and diurnal variation of leaf samples of six different chestnut varieties or strains.We fitted the light response curves and photosynthetic parameters using the leaf floating model.Additionally,we determined the chlorophyll content in the leaves using a UV-visible spectrophotometer.[Results]Among the six chestnut varieties or strains,‘Yanqiu’exhibited a significantly higher photosynthetic light saturation point(P LSP)compared to other five varieties,and‘Hybrid 22’ranked second,indicating that these two varieties had the strongest adaptation to high light intensity.The photosynthetic light compensation point(P LCP)of‘Yanchang’was significantly higher than other five varieties,and"Qianxi 37"ranked second,indicating that these two varieties had the strongest adaptation to low light intensity.Additionally,they exhibited higher chlorophyll content and maintained good photosynthetic characteristics even in shaded environments with weak light stress.Varieties‘Yanbao’and‘Yanjia’showed higher P LSP and lower P LCP,indicating that these two varieties have a wider range of adaptation to light intensity.They were capable of efficiently utilizing light across a broader spectrum of intensities.‘Yanqiu’had the highest maximum net photosynthetic rate(P n,max)and the lowest dark respiration rate(R d),along with the highest chlorophyll content.It indicated that‘Yanqiu’has strong photosynthetic capacity and organic matter accumulation ability.It also had the highest P LSP,enabling it to fully utilize the high light environment of the Yanshan Mountains and possessed high light efficiency characteristics.The P n,max of‘Yanqiu’was significantly higher than other varieties.‘Hybrid 22’and‘Yanbao’also exhibited significantly higher P n,max compared with‘Yanjia’and‘Qianxi 37’.‘Yanchang’had the lowest P n,max.The order of P n,max among the six chestnut varieties or strains was as follows:‘Yanqiu’>‘Hybrid 22’>‘Yanbao’>‘Yanjia’>‘Qianxi 37’>‘Yanchang’.[Conclusions]

Effects of Big Five, HEXACO, and Dark Triad on Counterproductive Work Behaviors: A Meta-Analysis

Purpose:This study investigates the effects of Big Five,HEXACO,and Dark Triad personality traits on counter-productive work behaviors(CWBs),and examines the moderating effects of countries where the studies were car-ried out,gender rate of samples,and scales used to measure personalities.Method:Following the rules of Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA),we include 74 empirical studies published between 2007 and September 2022 with 83 samples and 394 correlations.Studies are selected from both English databases such as Web of Science and Chinese databases such as CNKI.The meta-analysis and meta-regression analysis were both performed using the Comprehensive Meta-Analysis(CMA)program,version 3.7.Results:Although emotionality is irrelevant to CWBs,other Big Five,HEXACO,and Dark Triad personality factors are all significant predictors of CWBs.The effect of Dark Triad(ρ=0.412)is stronger than that of Big Five(ρ=−0.176)and HEXACO(ρ=−0.221).Gender negatively moderates the positive relationship between Dark Triad traits(total and subdimensions)and CWBs.The moderating effects of countries and scales are only signif-icant for very few personalities.Conclusion:Personality traits are important antecedents of CWBs,and gender ratio plays a role as moderator for some personality traits.We propose that organizations should pay more atten-tion to the mental health of employees and future studies could investigate other types of characteristics and moderators.

Reliability Analysis Based on a Direct Ship Hull Strength Assessment

基于采用 von 的直接力量计算，协定强调失败标准的可靠性分析的一个方法这里被介绍。轮船壳的短术语紧张分布结构的部件通过导致波浪的紧张历史的统计分析被识别，由短术语的加权的求和的长期的分布拉紧分布。导致波浪的长期的紧张分发与静止的水紧张被相结合。反应紧张的极端紧张分发被联合紧张的统计分析获得。可靠性分析的限制状态功能基于 von 协定压力失败标准，包括由于材料的质量的相关无常和模型无常。可靠性索引用在可靠性上有效果的每个变量的形式和敏感分析被计算也被讨论。

基于肿瘤教化血小板的液体活检研究进展

随着人们生活水平提高以及生活方式的转变,癌症已经成为影响现代人寿命的主要原因之一。目前,临床医生通常根据临床表现、影像学检测和血液肿瘤标志物等对癌症进行初步诊断,确诊主要还是依赖于肿瘤组织的病理分析。但是病理组织取样属于侵入性操作,所以多种基于血液成分的液体活检被广泛应用于癌症的诊断,包括循环肿瘤DNA(circulating tumor DNA,ctDNA)、循环肿瘤细胞(circulating tumor cell,CTC)、细胞外囊泡(extracellular vesicles,EVs)和肿瘤教化血小板(tumoreducated platelets,TEPs)。TEPs在肿瘤早期诊断、治疗、进展与转移等领域发挥重要作用,具有较大的发展前景。本文将综述TEPs在各种肿瘤无创诊断、监测中的研究进展。

Numerical and Experimental Study of a Tornado Mixer

A new design of a selective catalytic reduction(SCR)mixer called tornado was developed for a heavy-duty diesel engine to solve the urea deposition problem.A combination of CFD simulation and experimental studies was used to comprehensively evaluate the performance of the tornado mixer.According to the numerical simulations,this mixer can improve the front surface flow uniformity of the SCR carrier by 6.67%and the NH3 distribution uniformity by 3.19%compared to a traditional mixer.Similarly,steady state SCR conversion efficiency test results have shown that the tornado mixer can increase the average SCR conversion efficiency by 1.73%compared to a traditional mixer.Therefore,the tornado mixer outperforms traditional mixers in terms of mixing uniformity,resistance to deposition and impact on NOX emissions.In addition,a dimensionless parameter,the“limiting deviation rate”,is proposed in the present study to improve the mixing uniformity assessment method for SCR mixers(with the explicit intent to evaluate the mixing uniformity more accurately).

The pioneer of intelligent construction—An overview of the development of intelligent compaction

As the pioneer in the intelligent construction technologies(ICT)of transportation infrastructure,intelligent compaction(IC)has been applied in the infrastructure construction of various countries.It is currently the technology that best reflects the intelligence of engineering construction.This article overviews the latest developments and trends in IC.Firstly,the basic meaning of ICT is defined based on the essential characteristics of intelligent construction of transportation infrastructure,“perception,analysis,decision-making,execution”(PADE).The concept of intelligent compaction technology classification is also introduced.The PADE requirements that intelligent compaction should meet are proposed.Secondly,according to the sequence of“perception,analysis,decision-making,execution,”the workflow and key technologies of intelligent compaction are analyzed,and the mechanism of using the response of the roller to solve the modulus is given and verified.On this basis,The IC feasibility test methods,including compaction degree,compaction stability,and compaction uniformity,are briefly described.The implementation scheme of feedback control is given.Then,the use of artificial neural networks(ANN),hybrid expert systems,and reinforcement learning in intelligent compaction are briefly introduced.Finally,several extended applications of intelligent compaction are expounded,including the development ideas of intelligent road rollers and the role of intelligent compaction in virtual construction,the layer-specific mechanical parameters of fillers,etc.

One-pot preparation and applications of self-healing,self-adhesive PAA-PDMS elastomers

A new family of transparent,biocompatible,self-adhesive,and self-healing elastomer has been developed by a convenient and efficient one-pot reaction between poly(acrylic acid)(PAA)and hydroxyl-terminated polydimethylsiloxane(PDMSOH).The condensation reaction between PAA and PDMS-OH has been confirmed by attenuated total reflection Fourier transform infrared(ATR-FTIR)spectra.The prepared PAA-PDMS elastomers possess robust mechanical strength and strong adhesiveness to human skin,and they have fast self-healing ability at room temperature(in^10 s with the efficiency of 98%).Specifically,strain sensors were fabricated by assembling PAA-PDMS as packaging layers and polyetherimide-reduced graphene oxide(PEI-rGO)as strain-sensing layers.The PAA-PDMS/PEI-rGO sensors are stably and reliably responsive to slight physical deformations,and they can be attached onto skin directly to monitor the body’s motions.Meanwhile,strain sensors can self-heal quickly and completely,and they can be reused for the motion detecting after shallowly scratching the surface.This work provides new opportunities to manufacture high performance self-adhesive and self-healing materials.

基于外周血免疫学特征的鼻咽癌初诊远处转移风险评估模型构建

目的:对比分析初诊鼻咽癌有远处转移和无远处转移患者治疗前外周血免疫指标及其他临床特征,建立风险评估模型早期鉴别远处转移高风险患者。方法:回顾性分析2019年1月至2021年6月于四川省肿瘤医院231例初诊鼻咽癌患者临床病例资料及外周血免疫学指标,采用单因素和多因素Logistic回归分析与远处转移相关的临床指标,筛选独立相关因素,绘制列线图风险评估模型并进行内部验证。结果:231例初诊患者中共48例(20.8%)患者伴随远处器官转移。多因素回归分析显示,N分期、PNI指数、LDH水平、CD4/CD8比值以及NK细胞绝对数是初诊远处转移的独立相关因素(均P<0.05),据此构建列线图预测模型。采用Bootstrap重抽样法进行1000次内部验证,该模型一致性指数(C-index)及受试者工作特征曲线下面积(AUC)值为0.826。Calibration校正曲线拟合良好,预测概率与实际概率之间具有较好的符合度。临床决策曲线(DCA)和临床影响曲线(CIC)进一步表明,该模型具有相对稳定的临床适用性。结论:鼻咽癌初诊远处转移患者具有显著的外周血免疫学指标变化。根据CD4/CD8比值和NK细胞计数,结合其他临床指标,可以较好地区分转移患者和非转移患者。据此建立的风险预测模型或有助于辅助临床鉴别初诊有隐匿性远处转移患者,实现远处转移的早期干预。

支气管和肺动脉双袖状肺叶切除术治疗中央型肺癌的临床应用(英文)

Objective:The aim of our study was to introduce the surgical method and evaluate the efficacy of double sleeve lobectomy of the bronchus and the pulmonary artery in treatment for the central lung cancer. Method:From March 1995 to October 2010, double sleeve lobectomy of the bronchus and the pulmonary artery was performed in 45 cases with central lung cancer that involved the bronchial opening of an upper lobe of the lungs or the main bronchus and pulmonary artery but didn't involve any lower lobes. Among them, left upper lobectomy was performed in 37 cases, right medium-upper lobectomy was performed in 6 cases and right upper lobectomy was performed in 2 cases. Results:Postoperative complications were found in 12 cases. Among them, 3 cases were arrhythmia, 1 case was acute heart failure, 6 cases were obstructive pneumonia and pulmonary atelectasis, 2 cases were bronchial anastomotic fistula. Two cases died of cerebral infarction and massive hemoptysis respectively. Thirty-one cases were squamous carcinoma, 7 cases were adenocarcinoma, 4 cases were small cell lung cancer, 1 case was adenosquamous carcinoma, 1 case was sarcomatoid carcinomas, 1 case was mucinous adenocarcinoma. Ten cases were T3N0M0, 11 cases were T3N1M0, 17 cases were T3N2M0, 2 cases were T4N1M0, 5 cases were T4N2M0. The 1-year, 3-year, 5-year survival rates were 84.4% (38/45), 51.7% (15/29), 53.8% (7/13) respectively. Conclusion:The double sleeve lobectomy of the bronchus and the pulmonary artery can maximumly reserve the normal lung tissues while removing tumors, and avoid pneumonectomy. The surgery was safe and effective, while it required a high technique.

Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

It can be challenging to detect tumor margins during surgery for complete resection.The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detection on hyperspectral images in an animal model.Specifically,an auto-encoder network is trained based on the wavelength bands on hyperspectral images to extract the deep information to create a pixel-wise prediction of cancerous and benign pixel.According to the output hypothesis of each pixel,the misclassified pixels would be reclassified in the right prediction direction based on their adaptive weights.The auto-encoder network is again trained based on these updated pixels.The learner can adaptively improve the ability to identify the cancer and benign tissue by focusing on the misclassified pixels,and thus can improve the detection performance.The adaptive deep learning method highlighting the tumor region proved to be accurate in detecting the tumor boundary on hyperspectral images and achieved a sensitivity of 92.32%and a specificity of 91.31%in our animal experiments.This adaptive learning method on hyperspectral imaging has the potential to provide a noninvasive tool for tumor detection,especially,for the tumor whose margin is indistinct and irregular.

A novel deep learning framework with variational auto-encoder for indoor air quality prediction

Exposure to poor indoor air conditions poses significant risks to human health, increasing morbidity and mortality rates. Soft measurement modeling is suitable for stable and accurate monitoring of air pollutants and improving air quality. Based on partial least squares (PLS), we propose an indoor air quality prediction model that utilizes variational auto-encoder regression (VAER) algorithm. To reduce the negative effects of noise, latent variables in the original data are extracted by PLS in the first step. Then, the extracted variables are used as inputs to VAER, which improve the accuracy and robustness of the model. Through comparative analysis with traditional methods, we demonstrate the superior performance of our PLS-VAER model, which exhibits improved prediction performance and stability. The root mean square error (RMSE) of PLS-VAER is reduced by 14.71%, 26.47%, and 12.50% compared to single VAER, PLS-SVR, and PLS-ANN, respectively. Additionally, the coefficient of determination (R2) of PLS-VAER improves by 13.70%, 30.09%, and 11.25% compared to single VAER, PLS-SVR, and PLS-ANN, respectively. This research offers an innovative and environmentally-friendly approach to monitor and improve indoor air quality.

A computed tomography-based radiomic model for the prediction of strangulation risk in patients with acute intestinal obstruction

Background We created and validated a computed tomography(CT)-based radiomic model using both clinical factors and the radiomic signature for assessing the strangulation risk of acute intestinal obstruction.This would assist surgeons in accurately predicting intestinal ischemia and strangulation in patients with intestinal obstruction.Methods We recruited 289 patients with acute intestinal obstruction admitted in the Affiliated Hospital of Qingdao University from January 2019 to February 2022.The patients were allocated to a training(n=226)and validation cohort(n=63).Radiomic features were collected from CT images,and the radiomic signature was extracted and used to calculate a radiomic score(Rad-score).A nomogram was constructed using the clinical features and the Rad-score,and the performance of the clinical,radiomics,and nomogram models was assessed in the two cohorts.Results Six robust features were used to construct the radiomic signature.The nomogram incorporating hemoglobin levels,C-reactive protein levels,American Society of Anesthesiologists score,time of obstruction,CT image of mesenteric fluid(P<0.05),and the signature demonstrated good predictive ability for intestinal ischemia in patients with acute intestinal obstruction,with areas under the curve of 0.892(95%confidence interval,0.837–0.947)and 0.781(95%confidence interval,0.619–0.944)for the training and validation sets,respectively.The decision curve analysis showed that this model outperformed the clinical and radiomic signature models.Conclusion The radiomic nomogram may effectively predict intestinal ischemia in patients with acute intestinal disease and may assist clinical decision-making。

Erratum to “Contract Mechanism of Water Environment Regulation for Small and Medium Sized Enterprises Based on Optimal Control Theory” [Journal of Water Resource and Protection Vol.16 No.7 2024]

The original online version of this article (Zhao, S., Gu, H.B., Xue, L.F., Wang, D.S. and Huang, B. (2024) Contract Mechanism of Water Environment Regu-lation for Small and Medium Sized Enterprises Based on Optimal Control Theory. Journal of Water Resource and Protection, 16, 538-556. https://doi.org/10.4236/jwarp.2024.167030) unfortunately contains a mis-take. The second institution is “China Renewable Energy Engineering Insti-tute, Beijing, China”, not “China Renewable Engineering Institute, Beijing, China”.

Improved performance of visible-light photocatalytic H_(2)-production and Cr(Ⅵ) reduction by waste pigeon guano doped g-C_(3)N_(4) nanosheets

In this study,waste pigeon guano(PG)was re-utilized as an ideal biomass adulterant to improve the photocatalytic activity of the pristine graphitic carbon nitride(g-C_(3)N_(4)).Waste PG and melamine were employed as precursors to fabricate a novel porous multielement-doped g-C_(3)N_(4)(CN-PG-S)nanosheets photocatalyst via in situ thermal polycondensation coupled with thermal exfoliation strategy.The CN-PG-S owned abundant uniformly porous structures,superior conductivity,and excellent photocatalytic abilities,resulting in highly-efficient H_(2)-production(1950μmol g^(–1) h^(–1))and Cr(Ⅵ)reduction(99.1%)un-der visible light,which increased by 22.9-folds and 5.3-folds more than that of pristine g-C_(3)N_(4).The non-metallic(P,S,and O)and metallic elements in CN-PG-S played a crucial role in expanding the visible-light absorption range and promoting the separation-migration of photogenerated electron-hole pairs.And the uniformly porous nanosheet structure of CN-PG-S shortens the diffusion paths of photogenerated carri-ers and exposes more active sites for photocatalytic reactions.This study proposed an eco-friendly re-sources integration strategy of waste PG to prepare excellent CN-PG-S photocatalysts for highly-efficient H_(2)-production and Cr(VI)reduction.

Decomposition of Al_(13) promoted by salicylic acid under acidic condition: Mechanism study by differential mass spectrometry method and DFT calculation

Decomposition of the polycation Al_(13)O_(4)(OH)_(2)4(H_(2)O)_(12)^(7+)(Al_(13)) promoted by ligand is a vital subject to advance our understanding of natural and artificial occurrence and evolution of aluminum ions,especially in the case of acidic condition that dissolved Al^(3+)species can be released from the Al-bearing substances.However,the microscopic pathway of synchronous proton-promoted and ligand-promoted decomposition process for Al_(13)is still in the status of ambiguity.Herein,we applied differential mass spectrometry method and DFT calculation to study the initial detailed process of Al_(13)decomposition under the presence of proton and salicylic acid (H_(2)Sal).Mass results showed that the mononuclear Al^(3+)-H_(2)Sal complexes dominated the resulting Al species,whereas the monodentate complex Al_(13)HSal6+was not observed in the spectra.The difference of decomposition levels between the ligand/Al ratio 0.2 and 0.5 cases revealed that proton and ligand performed synergistic effect in initial Al_(13)decomposition process,and the proton transfer determined the ring closure efficiency.The ring closure reaction is the prerequisite for the collapse of Al_(13)structure and detachment of the mononuclear complex.DFT calculations reveal that hydrogen bond plays an important role in inducing the formation of chelated complex accompanying proton transfer.Attachment of protons at the bridging OH^(-)can elongate and weaken the critical bond between targeted Al^(3+)and μ4-O_(2)-resulting from delocalization of electron pairs in the oxygen atom.These results demonstrate the detailed mechanism of Al_(13)composition promoted by ligand and proton,and provide significant understanding for further application and control of Al_(13).

Visible-Light-Responsive Crystalline Solids by Equipping Covalent Organic Frameworks with Donor-Acceptor Stenhouse Adducts

Controlling properties of crystalline solids by light remains a challenge because the lack of intrinsic structural flexibility limits the necessary molecular mobility for photoisomerization. In this work, we reported a series of visible-light-responsive covalent organic frameworks (COFs) by introducing donor-acceptor Stenhouse adducts (DASAs) with various electron-withdrawing moieties via a post-modified strategy. The DASAs-functionalized COFs exhibit distorted honeycomb layered topology with long-range periodicity. The DASAs grafted on the skeletons are pointing into the nanopores of COFs, which weakens intermolecular aggregation and ensures sufficient free volume to undergo reversible isomerization between linear and cyclic states. Furthermore, the crystalline and optical properties of COFs as well as the geometrical size and hydrophilicity inside the nanopores were reversibly controlled by alternating visible light irradiation and heat. Finally, methyl violet was used as the cargo molecules to be immobilized into the nanopores of COFs, which showed fast release under controlling of visible light.