情、理、法协同治理:从“砂场如战场”到河清海晏的关键

在市场需求的驱动下,河砂治理成为全球自然资源管理面临的一大重要挑战,国内外学者围绕河砂的开采、影响、治理等问题进行了广泛而深入的研究,但以往的研究往往从单一视角切入,侧重于合法性、合理性的分析,缺乏从情感合理性角度进行深入讨论,而且大多数研究仅聚焦于河砂本身而忽略了河砂背后的“人”的存在,偏重于资源“权利”分析而轻视了资源治理背后的“权力”动态。基于实现乡村生态振兴的内在要求,对改革开放40多年来韩江三角洲河砂资源开发与治理中长期存在的“合情性”“合理性”和“合法性”的张力以及多元主体基于“情、理、法”展开权益博弈的调查研究表明,惟有实现情、理、法的协同治理,河砂治理才能实现从紊乱向和谐的转变,为实现河清海晏的目标奠定坚实基础。

Application of rational emotive behavior therapy in patients with colorectal cancer undergoing adjuvant chemotherapy

Objective:This study aimed to explore the effects of our rational emotive behavior therapy(REBT)program on symptoms,anxiety,depression,and sleep state in patients with colorectal cancer(CRC)undergoing chemotherapy.Methods:From October 2020 to May 2021,fifty-six patients with CRC in a hospital in the Hunan Province were randomly divided into an intervention group(n=28)and a control group(n=28).The patients in the intervention group completed a 6-week REBT program based on routine nursing care,including four courses:1)establish a relationship and formulate health files;2)group communications and study symptom management;3)continuously provide health knowledge and strengthen healthy behavior;and 4)review the treatment and summary.The control group maintained routine nursing care.The simplified Chinese version of the Memorial Symptom Assessment Scale Short Form(MSASeSFeSC),the Hospital Anxiety and Depression Scale(HADS),and the Pittsburgh Sleep Quality Index(PSQI)scale were used to investigate and compare the intervention effects of the two groups at baseline(T1,before the intervention),four weeks(T2),and six weeks(T3)after the intervention.Results:The intervention group was significantly improved in symptoms,anxiety,depression,and sleep state,compared with the control group.At T2,MSASeSFeSC(24.43±4.26 vs.28.07±3.91),symptom distress(17.29±4.04 vs.19.39±3.59),symptom frequency(7.14±1.51 vs.8.68±1.42),HADS(13.68±3.38 vs.15.86±3.79),anxiety(3.89±1.85 vs.5.18±2.18),and depression(9.79±2.06 vs.10.68±2.23),showed that the difference between the two groups was statistically significant(P<0.05).At T3,MSASeSFeSC(23.89±3.54 vs.30.14±3.94),symptom distress(17.61±3.52 vs.21.32±3.57),symptom frequency(6.29±1.49 vs.8.82±1.47),HADS(11.82±2.57 vs.16.29±3.13),anxiety(3.21±1.64 vs.5.61±1.77),and depression(8.61±1.52 vs.10.68±1.81),showed that the difference between the two groups was statistically significant(P<0.05).The sleep state of the intervention group was better than the control group at T3,with decreased score of PSQI[4.00(3.00,8.00)vs.9.00(7.00,12.50),Z=-3.706,P<0.001].Conclusion:The 6-week REBT program can effectively improve the symptom,anxiety,depression,and sleep state of patients with CRC undergoing chemotherapy,which could as a care plan for patients with CRC who are repeatedly admitted to the hospital for chemotherapy.

Study based on ＂Situational Rationality＂ hypothesis for customer market classification model

The traditional market segmentation was based on ＂transcendental rationality＂ or ＂Situational Rationality＂, studies shows that it had disadvantages. This paper states the ＂Situational＂ integrated rationality hypothesis and then comes up with the market segmenting models and classification algorithm basing on this hypothesis. This algorithm combined the Rough Set theory and Neural Networks in application, which overcome the dilemma that caused complicated network structure and long training time by only using Neural Networks and influenced the classification precision caused by noise disturbance by only using Rough Set methods. Finally, the paper did a comparison experiment between the traditional method and the method we came up, the results shows that the model and algorithm has its advantage on every aspects.

Removal of VOCs from Sudden Polluted Raw Water by Air Stripping

Volatile organic compounds （VOCs） are widely used in various industrial processes and generate water pollutions. VOCs removal from raw water is an important task for waterworks to guarantee drinking water security. The removal of VOCs such as chlorobenzene （CB） and ethylbenzene （EB） from raw water by air stripping was investigated under various conditions, inciuding the variation of temperature （5-30~C）, pH （3.5-10.5）, and air/water ratio （10-60）. The air stripping removal efficiency of VOCs decreased with VOCs concentration declining in water. And Henry＇s law constant was demonstrated as an indicator of the estimation of VOCs removal efficiency for air stripping. The effects of temperature and the ratio of air and water were found to play a great role in VOCs removal, but the effect of pH seemed to be negligible. This study demonstrates that air stripping provides a promising opportunity in removing VOCs in drinking water treatment, especially for the relatively high concentration of VOCs.

Approach for Multiword Expression Identification in Natural Language Processing

In this paper, the authors are presenting the approach to extract the multiword expression （MWEs） from monolingual corpora. It both validates and generates multiword candidates. The multiword expression provides a list of candidates which are extracted and filtered according to the number of criteria and a set of standard statistical association measures. The generation of the multiword candidates is based on the surface forms, while the validation consists of series of criteria for removing noise using language independent association measures. For generating corpus count, it provides both a corpus indexation facility. Also, this approach allows easy integration with a machine learning tool for thecreation and application of supervised multiword extraction models if annotated data is available. The authors present the use of multiword in a standard configuration, for extracting MWEs from a corpus of general purpose English.

增进居民情感对构建和谐社会至关重要

社区是构建社会主义和谐社会的最基本单元,抓好社区的和谐工作对建设和谐社会至关重要,那么如何抓好和谐社区建设,关健是如何提升居民群体情感和奉献意识,在这点上五阳社区用自己"创优服务环境、加强思想沟通、丰富文化生活"独特的做法做出了回答,不仅提升了区域居民的道德素养,而且生活品味提升。

Contribution to sample failure probability plot and its solution by Kriging method

To analyze the effect of the region of the model inputs on the model output,a novel concept about contribution to the sample failure probability plot(CSFP) is proposed based on the contribution to the sample mean plot(CSM) and the contribution to the sample variance plot(CSV).The CSFP can be used to analyze the effect of the region of the model inputs on the failure probability.After the definition of CSFP,its property and the differences between CSFP and CSV/CSM are discussed.The proposed CSFP can not only provide the information about which input affects the failure probability mostly,but also identify the contribution of the regions of the input to the failure probability mostly.By employing the Kriging model method on optimized sample points,a solution for CSFP is obtained.The computational cost for solving CSFP is greatly decreased because of the efficiency of Kriging surrogate model.Some examples are used to illustrate the validity of the proposed CSFP and the applicability and feasibility of the Kriging surrogate method based solution for CSFP.