全面推进国家森林生态标志产品建设工程

2019年12月3日召开的第四届全国林业产业大会,通过首批国家森林生态标志产品认定的31家经营企业申报的52个优质林产品正式公布,标志着国家森林生态标志产品建设工程(简称“森标建设工程”)取得实质性重大进展。进一步证实了森标建设工程从提出到推进,从理论构思到运营实践全过程的必要性和可行性。

亨里克·拉尔森 坚冰勇士

人世间最伤感的事情莫过于别离,尤其是当那个离开者以一种与领袖相类似的气度征服了你、征服了他、也征服了大家的时候。只要一想到不久的将来就再也无法在苏超看到拉尔森标志性的飞翔庆祝动作,无法看到他进球后伸出顽皮的长舌头,一股酸楚就会袭上心头。

家有龙猫

我买《龙猫》时,它的作者宫崎骏老人家的《千与千寻》正走着奥斯卡一路星光。《龙猫》完成于1988年,我五岁。五岁是一个儿童的黄金年龄,比如蜡笔小新,五岁功成名就。我买了《龙猫》看了一遍,回到店里又买了十一盘送给了十一个朋友。

Tri-party deep network representation learning using inductive matrix completion

Most existing network representation learning algorithms focus on network structures for learning.However,network structure is only one kind of view and feature for various networks,and it cannot fully reflect all characteristics of networks.In fact,network vertices usually contain rich text information,which can be well utilized to learn text-enhanced network representations.Meanwhile,Matrix-Forest Index(MFI)has shown its high effectiveness and stability in link prediction tasks compared with other algorithms of link prediction.Both MFI and Inductive Matrix Completion(IMC)are not well applied with algorithmic frameworks of typical representation learning methods.Therefore,we proposed a novel semi-supervised algorithm,tri-party deep network representation learning using inductive matrix completion(TDNR).Based on inductive matrix completion algorithm,TDNR incorporates text features,the link certainty degrees of existing edges and the future link probabilities of non-existing edges into network representations.The experimental results demonstrated that TFNR outperforms other baselines on three real-world datasets.The visualizations of TDNR show that proposed algorithm is more discriminative than other unsupervised approaches.

Comparison of stem taper models for the four tropical tree species in Mount Makiling, Philippines

This study was conducted to evaluate the performance of six stem taper models on four tropical tree species, namely Celtis luzonica(Magabuyo),Diplodiscus paniculatus(Balobo), Parashorea malaanonan(Bagtikan), and Swietenia macrophylla(Mahogany) in Mount Makiling Forest Reserve(MMFR), Philippines using fit statistics and lack-of-fit statistics. Four statistical criteria were used in this study, including the standard error of estimate(SEE),coefficient of determination(R^2), mean bias( E),and absolute mean difference(AMD). For the lack-offit statistics, SEE, E and AMD were determined in different relative height classes. The results indicated that the Kozak02 stem taper model offered the best fit for the four tropical species in most statistics. The Kozak02 model also consistently provided the best performance in the lack-of-fit statistics with the best SEE, E and AMD in most of the relative height classes. These stem taper equations could help forest managers and researchers better estimate the diameter of the outside bark with any given height,merchantable stem volumes and total stem volumes of standing trees belonging to the four species of thetropical forest in MMFR.

Forest ecosystem health assessment and analysis in China

Based on more than 300 forest sample plots surveying data and forestry statistical data, remote sensing information from the NOAA AVHRR database and the daily meteorological data of 300 stations, we selected vigor, organization and resilience as the indicators to assess large-scale forest ecosystem health in China and analyzed the spatial pattern of forest ecosystem health and influencing factors. The results of assessment indicated that the spatial pattern of forest ecosystem health showed a decreasing trend along latitude gradients and longitude gradients. The healthy forests are mainly distributed in natural forests, tropical rainforests and seasonal rainforests; secondarily orderly in northeast national forest zone, subtropical forest zonation and southwest forest zonation; while the unhealthy forests were mainly located in warm temperate zone and Xinjiang-Mongolia forest zone. The coefficient of correction between Forest Ecosystem Health Index (FEHI) and annual average precipitation was 0.58 (p<0.01), while the coefficient of correlation between FEHI and annual mean temperatures was 0.49 (p<0.01), which identified that the precipitation and temperatures affect the pattern of FEHI, and the precipitation’s effect was stronger than the temperature’s. We also measured the correlation coefficient between FEHI and NPP, biodiversity and resistance, which were 0.64, 0.76 and 0.81 (p<0.01) respectively. The order of effect on forest ecosystem health was vigor, organization and resistance.

Characterization of Water Production and Its Implication to Forest Management

Nowadays, forests are being managed for multiple uses. The basic requirement of multiple use forestry is to identify and quantify forest values and to determine management objectives. The priorities of management objectives, however, must be decided. In this study, a model predicting water production for multi-objective forest management was developed. The model was based on data from permanent sample plots. The data were gathered from 132 sample plots. Approximately 80% of the observations were used for model development and 20% for validation. The model was designed for even-aged forests, as well as for forests with mixed and pure species composition. The explicatory variable in the model was number of trees. All parameter estimates were found highly significant （P 〈 0.001） in predicting water production. The model fit and validation tests were fairly good. The water production model presented in this study was considered to have an appropriate level of reliability. planning, but, it should be limited to the conditions for which the data It can be used in the overall multi-objective forest management were gathered.

A robust statistical procedure to discover expression biomarkers using microarray genomic expression data

Microarray has become increasingly popular biotechnology in biological and medical researches, and has been widely applied in classification of treatment subtypes using expression patterns of biomarkers. We developed a statistical procedure to identify expression biomarkers for treatment subtype classification by constructing an F-statistic based on Henderson method Ⅲ. Monte Carlo simulations were conducted to examine the robustness and efficiency of the proposed method. Simulation results showed that our method could provide satisfying power of identifying differentially expressed genes （DEGs） with false discovery rate （FDR） lower than the given type I error rate. In addition, we analyzed a leukemia dataset collected from 38 leukemia patients with 27 samples diagnosed as acute lymphoblastic leukemia （ALL） and 11 samples as acute myeloid leukemia （AML）. We compared our results with those from the methods of significance analysis of microarray （SAM） and microarray analysis of variance （MAANOVA）. Among these three methods, only expression biomarkers identified by our method can precisely identify the three human acute leukemia subtypes.

A Review and Reflection of Value Account of Forest Resources

The framework of forest valuation accounting has been formed through the development stages of timber value calculation, forest ecosystem valuation and entire value accounting of forest resources, including the forest values of resources in kind, environmental resources and social benefits in China. These theory and methods still face deviation of theories and methods from vague position of discipline, larger accounting results from ignoring differences between forest ecological functions and ecosystem services, and unrealistic and other problems from non-standard index system and accounting methods due to the development history and other reasons. Five suggestions are proposed to make explicit the object and purpose of the forest resource value accounting, establish universal, scientific, measurable and concise index system for value evaluation, calculate forest resources value in consideration of forest type and position, distinguish accurately the functions from benefits of the forest resources, and suit value calculation result to the practice of social economy.

Influence of Dietary Administration of β-hydroxy-β-methylbutyrate （HMB） on the Innate Immunity and Resistance against Bacterial Infections in Pikeperch （Sander lucioperca）

The present study examined the influence of leucine metabolite β-hydroxy-β-methylbutyrate （HMB） on the nonspecific cellular and humoral defence mechanisms and protection against Yersinia ruckeri and Aeromonas salmonicida in juvenile pikeperch （Sander lucioperca）. The fish was fed with a commercial trout pellets, containing either 0 （control group） or 50 mg HMB kg^-1 body weight day^-1 （HMB fed group）. After four weeks feeding, 20 pikeperch from each group were anaesthetised and blood and pronephros samples were taken. The levels of the following immunological parameters were measured： respiratory burst activity of phagocytes, potential killing activity of phagocytes, lymphocytes proliferation stimulated by concanavaline A or lipopolisaccharide, lysozyme activity in serum, ceruloplasmin activity in serum, total protein in serum and total immunoglobulin （Ig） level in serum. A disease challenge test using Yersinia ruckeri or Aeromonas salmonicida was conducted after 4 weeks of feeding. The levels of all immunological parameters excluding ceruloplasmin activity and total protein in serum were statistically significantly higher （P 〈 0.05） in the HMB treated group compared to the control group. Feeding with HMB has led to a significant decrease in the mortality after the challenge trial with Y. ruckeri （30% lower mortality than in the control group） and with theA. salmonicida （40% lower mortality than in the control group）. The current study strongly suggests that feeding pikeperch with HMB in dose 50 mg kg^-1 body weight day^-1 may improve the innate immunity and decrease the mortality rates after experimental infection with pathogenic bacteria Y. ruckeri and A. salmonicida.

The Diversity of the Environmental Impact in Kurzeme

The analysis of environmental impact effects on forest ecosystems has a theoretical and practical nature. Many methods have been developed to determine characteristics and intensity of this impact. Methodologically, they can be divided into three groups： environmental parameter, bioindicative and combined methods. To evaluate the environmental impact a combined method was used in this study, it was based on trees as the bioindicators and their response reactions, and environmental parameter analysis. In this study the bioindicator was Norway spruce （Picea abies （L.） Karst.）, whose response reaction was used to explain total impact volumes of environmental factors in different places in the region of Kurzeme and try to interpret the causes of these differences. As the bioindicators criterion was used response reaction of Norway spruce during a period of 20 years, which was expressed with cumulative and annual additional volume increment, and was depending on the location of the stand and its morphometric characteristics. The empirical material was collected in Kurzeme region in 28 sample plots that are located on two transects and in one reference stand. For the evaluation the widths of the last 40 year growth rings were measured. To express the environmental impact in Kurzeme region a multiple regression model was developed, which explains the environmental impact in the volume of 68.2%, the rest part can be explained by the local conditions of each stand. It must be noted that methodology used in this study is very sensitive, thus, each of the nuances in the dynamics of volume＇s annual reduced additional increments has biological and ecological cause.

童年本应无忧

去年在我教过书的那个镇上,有一家报社组织学生举行了一次比赛,要求学生任选题目画一幅漫画,获奖作品将在报纸上发表。一位二年级学生画了一幅哭丧着脸的地球,标题为"我累得很,请再别消耗我了。"一位六年级的男生画了几座小山,旁边立着一个牌子,上面写着:"垃圾垫土。"一位三年级的女生画的是几个动物,站在一幢正在建筑着的房子附近哭泣,远处有几根烟囱冒着烟,标题是:"我们想回家。"还有表示种族歧视和森标被破坏的漫画。

Weak estimates for commutators of fractional integral operators

By introducing a kind of maximal operator of the fractional order associated with the mean Luxemburg norm and using the technique of the sharp function,the weak type LlogL estimates for the commutators of the fractional integral operator and the related maximal operator are established.

Generation of Bell states via Lyapunov control on a two-qubit system with an anisotropic XY Heisenberg interaction

We demonstrate that an arbitrary Bell state can be achieved in a two qubit anisotropic Heisenberg XY chain via Lyapunov control. During the whole process, we only need to apply an external field along a given direction to a single qubit. This control strategy is effective for all initial states in the four-dimensional Hilbert space where the target state is asymptotically stable. The effects of imperfections on the fidelity for the target state such as Gaussian leakage of local control and localized dephasing of individual spins are also considered.