CN109189787A - A kind of the digital expression method and application method of Stored Grain Insects retrieval table - Google Patents
A kind of the digital expression method and application method of Stored Grain Insects retrieval table Download PDFInfo
- Publication number
- CN109189787A CN109189787A CN201810945402.7A CN201810945402A CN109189787A CN 109189787 A CN109189787 A CN 109189787A CN 201810945402 A CN201810945402 A CN 201810945402A CN 109189787 A CN109189787 A CN 109189787A
- Authority
- CN
- China
- Prior art keywords
- stored grain
- binary tree
- grain insects
- node
- retrieval table
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Catching Or Destruction (AREA)
Abstract
The present invention provides the digital expression methods and application method of a kind of Stored Grain Insects retrieval table, wherein, digital expression method retrieves table starting point as the root node of binary tree, using the two discriminations classification of Stored Grain Insects retrieval table starting point as the branch node of binary tree using Stored Grain Insects;If the affiliated content of Branch nodes is specific worm kind, leaf node of the Branch nodes as binary tree;In use, being traversed to the binary tree expression-form of Stored Grain Insects retrieval table: first successively being traversed from root node along left subtree, until left subtree is leaf node;Then it traverses using parents' node of current leaf node as the non-left subtree in the y-bend subtree of root node, until all nodes of the y-bend subtree are traversed;The process that the binary tree expression-form of the above-mentioned Stored Grain Insects retrieval table of recurrence is traversed obtains the binary tree digital expression sequence of Stored Grain Insects retrieval table until having found from root node reachable all nodes.
Description
Technical field
The present invention relates to foodstuff preservations and field of computer technology, specifically, relate to a kind of Stored Grain Insects retrieval table
Digital expression method and application method.
Background technique
Grain involves the interests of the state and the people, and has irreplaceable status in entire national economy.Our countries are used as population
Big country and grain big country always pay attention to grain-production and foodstuff preservation.During foodstuff preservation, grain loss is by many factors
It influences, wherein grain storage insect pest phenomenon is important one of factor, and the Stored Grain Insects type that China has found at present reaches more than 100
Kind, for identifying for Stored Grain Insects, main foundation is Stored Grain Insects retrieval table.
Stored Grain Insects retrieval table is the table worked out for the purpose of identifying grain storage pest, and the most commonly used is dichotomous branch Stored Grain Insects
Retrieve table.This Stored Grain Insects retrieval table divides same category of Stored Grain Insects according to a pair of or several pairs of relativity difference
At corresponding Liang Ge branch.Then, further according to another pair or several pairs of relativity, each branch above is separated into relatively
The Liang Ge branch answered, as dichotomy branch, in this way, arrangement is gone down step by step, until compiling including whole Stored Grain Insects
Classification Stored Grain Insects retrieve table.With the No.1 grain storage pest sitophilus zea-mais in China (Sitophilus zeamais) for, it is section
Main drive object door, Mandibulata, Hexapoda, Insecta, Pterigota, coleoptera, a kind of Culculionidae, in the grain storage of Culculionidae
Insect is retrieved in table, and it is following (" reserve beetle ", Zhang Shengfang, 1998) that sitophilus zea-mais Stored Grain Insects retrieve table.
Step 1,9 section of feeler;Elytrum is completely covered by abdomen, and abdomen end is invisible by back side, and beak length is about wide 2.5 of beak
Times --- platyrrhiny grain weevilCaulophilus oryzae,
8 section of feeler;The endless complete hiding abdomen of elytrum, abdomen end can be shown in by back;Beak length is about wide 4 times of beak --- execute step
Rapid 2;
Step 2, the long oval of pronotary punctum, punctum are big and dilute;Elytrum color is single, and hind wing is degenerated --- grain weevilSitophilus granaries,
Pronotary punctum is round, arranges closeer;Hind wing is flourishing --- execute step 3
Step 3 pronotary punctum is small, and for punctum spacing at least equal to punctum diameter, the smooth in region between punctum is glossy;Sheath
The both ends color of the usually uniform crineous of wing or each elytrum is light, and two light color areas are connected by a light color longitudinal bands --- tamarind asSitophilus linearis;
Pronotary punctum is big and close, and punctum almost connects, the coarse tarnish in the region between punctum;Each elytrum usually has 2
Reddish yellow color spot is connected without light color longitudinal bands therebetween --- execute step 4
Step 4, the male worm adeagus back side are uniformly swelled, without vertical chase;The two side arms end blunt circle of female adult Y-shaped osteocomma, two side arms
Interval it is narrow, about two side arms are the sum of wide --- rice weevilSitophilus oryzae;
The male worm adeagus back side is flat, there is two parallel vertical chases;The two side arms end of female adult Y-shaped osteocomma is tapering, two side arms
Spaced far to be greater than two side arms the sum of wide --- sitophilus zea-maisSitophilus zeamais。
In use, first determining whether the deutocerebral segment quantity of insect by first item, for example 9 sections are then determined directly as platyrrhiny
Grain weevil, for example 8 sections then enter the 2nd, and the 2nd judges pronotary punctum form, may determine therefrom that as grain weevil or entrance the 3rd
, pronotary punctum size, spacing, smooth degree, color, form etc. are judged in the 3rd, may determine therefrom that as tamarind
As or enter the 4th, the 4th is determined as rice weevil or sitophilus zea-mais according to male worm and female adult feature.
Stored Grain Insects retrieval table thought results from the Lamarckian dichotomous branch thought of 18 th Century French biologists (two discriminations point
The thought of branch method is a group biology that feature is different, with the method for being divided into two, gradually comparison arrangement), still it is applied at present
The multi-field sort research of biology.Stored Grain Insects retrieval table is the basic foundation for carrying out Stored Grain Insects identification, all the time, table
Existing form is mainly embodied in the form of monograph, academic paper etc., still lacks digitized expression, especially applies modern computing
Machine technology carries out structured analysis and processing.
In order to solve the above problems, people are seeking always a kind of ideal technical solution.
Summary of the invention
The purpose of the present invention is in view of the deficiencies of the prior art, to provide a kind of digitlization table of Stored Grain Insects retrieval table
Up to method, table starting point is retrieved as the root node of binary tree, with the two discriminations classification of Stored Grain Insects retrieval table starting point using Stored Grain Insects
Respectively as the branch node of binary tree;If the affiliated content of Branch nodes is specific worm kind, the Branch nodes are as binary tree
Leaf node;
Recursive definition is carried out to Stored Grain Insects retrieval table, the binary tree expression-form of Stored Grain Insects retrieval table can be obtained.
Based on above-mentioned, step 1: using the starting point of Stored Grain Insects retrieval table as the root node of binary tree, Stored Grain Insects being examined
Branch node of the two discriminations classification of rope table starting point respectively as binary tree;
Step 2: judging whether branch node is leaf node;If the Branch nodes are leaf nodes, terminate the branch
It establishes;If the Branch nodes are not leaf nodes, 3 are thened follow the steps;
Step 3: continuing to establish new Branch nodes as binary tree subtree using the Branch nodes, return again to and execute step 2.
Based on above-mentioned, element of the branch node to indicate different levels, the element is the mesh of Stored Grain Insects, section
Or kind.
Based on above-mentioned, binary tree forest is constructed respectively according to the visual inspection rope table of Stored Grain Insects, section's retrieval table;
According to the retrieval table of Stored Grain Insects, single binary tree is constructed according to mesh, section, kind;
When Stored Grain Insects retrieval table has specific mesh, section, kind level logical relation, the binary tree forest and described single
It can be converted mutually between binary tree.
A kind of application method of the digital expression method of the Stored Grain Insects retrieval table, to Stored Grain Insects retrieval table
Binary tree expression-form is traversed:
It is first successively traversed from root node along left subtree, until left subtree is leaf node;
Then it traverses using parents' node of current leaf node as the non-left subtree in the y-bend subtree of root node, until the y-bend
All nodes of subtree are traversed;
The process that the binary tree expression-form of the above-mentioned Stored Grain Insects retrieval table of recurrence is traversed, can from root node until having found
Until all nodes reached, the binary tree digital expression sequence of Stored Grain Insects retrieval table is obtained.
The present invention has substantive distinguishing features outstanding and marked improvement compared with the prior art, can by the use of this method
To be abstracted as the binary tree structure of computer data structure to mesh represented by Stored Grain Insects retrieval table, section, the multi-level list item of kind,
Complete digital expression.Stored Grain Insects retrieval table after being digitized expression can easily carry out computer storage and processing, can
Realize that Stored Grain Insects retrieve the digitlization of table, automation by computer program, to abandon existing traditionally on paper retrieval side
Formula greatly improves determination rates and the accuracy of Stored Grain Insects, uses manpower and material resources sparingly, and more effectively carries out the insect pest of foodstuff preservation
It was found that and prevention and treatment, reduce grain loss, it is with good economic efficiency;And have design science, practical, structure it is simple,
Advantage easy to use.
Detailed description of the invention
Fig. 1 is the flow chart of the binary tree expression-form of Stored Grain Insects retrieval table of the invention.
Fig. 2 is the schematic diagram of a binary tree of the binary tree expression-form construction of Stored Grain Insects retrieval table of the invention.
Fig. 3 is the schematic diagram of two binary trees of the binary tree expression-form construction of Stored Grain Insects retrieval table of the invention.
Fig. 4 is the signal of another binary tree of the binary tree expression-form construction of Stored Grain Insects retrieval table of the invention
Figure.
Specific embodiment
Below by specific embodiment, technical scheme of the present invention will be described in further detail.
The present invention provides a kind of digital expression methods of Stored Grain Insects retrieval table, are made with Stored Grain Insects retrieval table starting point
For the root node of binary tree, classified using two discriminations of Stored Grain Insects retrieval table starting point as the branch node of binary tree;If point
The branch affiliated content of node is specific worm kind, then leaf node of the Branch nodes as binary tree;To Stored Grain Insects retrieve table into
The binary tree expression-form of Stored Grain Insects retrieval table can be obtained in row recursive definition.
Embodiment 1
As shown in Figure 1, a kind of digital expression method of Stored Grain Insects retrieval table, specific digital expression method are as follows:
Step 1: using the starting point of Stored Grain Insects retrieval table as the root node of binary tree, by two discriminations of Stored Grain Insects retrieval table starting point
The branch node classified respectively as binary tree;
Step 2: judging whether branch node is leaf node;If the Branch nodes are leaf nodes, terminate the branch
It establishes;If the Branch nodes are not leaf nodes, 3 are thened follow the steps;
Step 3: continuing to establish new Branch nodes as binary tree subtree using the Branch nodes, return again to and execute step 2.
As shown in Fig. 2, the binary tree to be constructed using this digital expression method, wherein 1 is binary tree root knot
Point, Stored Grain Insects retrieve table starting point item, and 2 and 3 be that retrieval list item is directed toward n omicronn-leaf child node (i.e. mesh or section's inspection in node pointed by 1
Rope table), 4 be that retrieval list item is directed toward n omicronn-leaf child node (i.e. mesh or section retrieve table) in node pointed by 2, and 5 be in node pointed by 2
It retrieves list item and is directed toward leaf node (i.e. Stored Grain Insects worm kind), 6 be that retrieval list item is directed toward n omicronn-leaf child node in node pointed by 3
(i.e. mesh or section retrieve table), 7 be that retrieval list item is directed toward leaf node (i.e. Stored Grain Insects worm kind) in node pointed by 3, and 8 and 9 be 4
List item is retrieved in pointed node and is directed toward leaf node (i.e. Stored Grain Insects worm kind), and 10 and 11 be to retrieve table in node pointed by 6
Item is directed toward leaf node (i.e. Stored Grain Insects worm kind).
Embodiment 2
The present embodiment the difference from embodiment 1 is that: element of the branch node to indicate different levels, the element are
Mesh, section or the kind of Stored Grain Insects.Binary tree forest is constructed respectively according to the visual inspection rope table of Stored Grain Insects, section's retrieval table;According to storage
The retrieval table of grain insect constructs single binary tree according to mesh, section, kind.
As shown in figure 3,12 for a binary tree in binary tree forest root node, indicate a certain mesh of Stored Grain Insects or section
Table starting point item is retrieved, 13 be the n omicronn-leaf child node that retrieval list item is directed toward in node pointed by 12, and 14 be to examine in node pointed by 12
The leaf node (i.e. Stored Grain Insects worm kind) that rope list item is directed toward, 15 be the non-leaf knot that retrieval list item is directed toward in node pointed by 13
Point, 16 be the leaf node (i.e. Stored Grain Insects worm kind) that retrieval list item is directed toward in node pointed by 13, and 17 and 18 be pointed by 15
The leaf node (i.e. Stored Grain Insects worm kind) that list item is directed toward is retrieved in node.19 be the root knot of a binary tree in binary tree forest
Point indicates the retrieval table starting point item of a certain mesh of Stored Grain Insects or section, and 20 be the n omicronn-leaf that retrieval list item is directed toward in node pointed by 19
Child node, 21 be the leaf node (i.e. Stored Grain Insects worm kind) that retrieval list item is directed toward in node pointed by 19, and 22 and 23 be 20 institutes
It is directed toward the leaf node (i.e. Stored Grain Insects worm kind) that retrieval list item is directed toward in node.
The binary tree that the present embodiment is constructed, can express respectively visual inspection rope table involved in grain storage pest under Insecta,
Different retrieval list items is expressed to form more binary trees by section, distribution key.It is clear when having in Stored Grain Insects retrieval table
Mesh, section, kind level logical relation when, can be converted mutually between the binary tree forest and the single binary tree.
The present invention also provides the application methods of the digital expression method of Stored Grain Insects retrieval table, that is, to storage
The binary tree expression-form of grain insect retrieval table is traversed:
It is first successively traversed from root node along left subtree, until left subtree is leaf node;
Then it traverses using parents' node of current leaf node as the non-left subtree in the y-bend subtree of root node, until the y-bend
All nodes of subtree are traversed;
The process that the binary tree expression-form of the above-mentioned Stored Grain Insects retrieval table of recurrence is traversed, can from root node until having found
Until all nodes reached, the binary tree digital expression sequence of Stored Grain Insects retrieval table is obtained.
Embodiment 3
The present embodiment is in the retrieval table of Culculionidae, for sitophilus zea-mais retrieves table (" reserve beetle ", Zhang Shengfang, 1998), structure
Make binary tree and the application method of the binary tree.
As shown in figure 4,24 indicate retrieval table starting point, 25 indicate " 8 section of feeler described in retrieval the 1st, table;Elytrum not exclusively hides
Lid abdomen, abdomen end can be shown in by back;Beak length is about wide 4 times of beak ", 26 indicate " 9 section of feeler described in retrieval the 1st, table;Sheath
Wing is completely covered by abdomen, and abdomen end is invisible by back side, and it is about wide 2.5 times of beak that beak is long ", i.e. Stored Grain Insects platyrrhiny grain weevilCaulophilus oryzae,Therefore 26 be leaf node.27 indicate that " pronotary punctum is round, row described in retrieval the 2nd, table
It arranges closeer;Hind wing is flourishing ", 28 indicate that " the long oval of pronotary punctum, punctum are big and dilute described in retrieval the 2nd, table;Elytrum face
Color is single, and hind wing is degenerated ", i.e. grain storage pest grain weevilSitophilus granarius, therefore 28 be leaf node.29 indicate inspection
" pronotary punctum is big and close, and punctum almost connects, the coarse tarnish in the region between punctum described in Suo Biao 3;Each elytrum
Usually have 2 reddish yellow color spots, be connected therebetween without light color longitudinal bands ", 30 indicate that " pronotary punctum is small, carves described in retrieval the 3rd, table
For point spacing at least equal to punctum diameter, the smooth in region between punctum is glossy;The usually uniform crineous of elytrum or each elytrum
Both ends color it is light, two light color areas are connected by a light color longitudinal bands ", i.e., Stored Grain Insects tamarind asSitophilus linearis,
Therefore 30 be leaf node.31 indicate that " the male worm adeagus back side is uniformly swelled, without vertical chase described in retrieval the 4th, table;Female adult " Y "
The two side arms end blunt circle of shape osteocomma, the interval of two side arms is narrow, and about two side arms are the sum of wide ", i.e. Stored Grain Insects rice weevilSitophilus oryzae, 32 indicate that " the male worm adeagus back side is flat, there is two parallel vertical chases described in retrieval the 4th, table;
The two side arms end of female adult Y-shaped osteocomma is tapering, and to be greater than two side arms the sum of wide for two side arms spaced far ", i.e. Stored Grain Insects corn
AsSitophilus zeamais,Therefore 31,32 be leaf node.
For constructed binary tree, constructed binary tree is traversed using computer program, and Stored Grain Insects retrieval can be obtained
The binary tree digital expression sequence of table.
Sequence " 24,25,27,29,31 " indicates Stored Grain Insects rice weevilSitophilus oryzae。
Sequence " 24,25,27,29,32 " indicates Stored Grain Insects sitophilus zea-maisSitophilus zeamais。
Sequence " 24,25,27,30 " indicate Stored Grain Insects tamarind asSitophilus linearis。
Sequence " 24,25,28 " indicates Stored Grain Insects grain weevilSitophilus granarius
Sequence " 24,26 " indicates Stored Grain Insects platyrrhiny grain weevilCaulophilus oryzae。
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof;To the greatest extent
The present invention is described in detail with reference to preferred embodiments for pipe, it should be understood by those ordinary skilled in the art that: still
It can modify to a specific embodiment of the invention or some technical features can be equivalently replaced;Without departing from this hair
The spirit of bright technical solution should all cover within the scope of the technical scheme claimed by the invention.
Claims (5)
1. a kind of digital expression method of Stored Grain Insects retrieval table, it is characterised in that:
Table starting point is retrieved as the root node of binary tree using Stored Grain Insects, is classified with two discriminations of Stored Grain Insects retrieval table starting point and is distinguished
Branch node as binary tree;If the affiliated content of Branch nodes is specific worm kind, leaf of the Branch nodes as binary tree
Child node;
Recursive definition is carried out to Stored Grain Insects retrieval table, the binary tree expression-form of Stored Grain Insects retrieval table can be obtained.
2. the digital expression method of Stored Grain Insects retrieval table according to claim 1, it is characterised in that:
Step 1: using the starting point of Stored Grain Insects retrieval table as the root node of binary tree, by two discriminations of Stored Grain Insects retrieval table starting point
The branch node classified respectively as binary tree;
Step 2: judging whether branch node is leaf node;If the Branch nodes are leaf nodes, terminate the branch
It establishes;If the Branch nodes are not leaf nodes, 3 are thened follow the steps;
Step 3: continuing to establish new Branch nodes as binary tree subtree using the Branch nodes, return again to and execute step 2.
3. the digital expression method of Stored Grain Insects retrieval table as claimed in claim 1 or 2, it is characterised in that: the branch
Element of the node to indicate different levels, the element are mesh, section or the kind of Stored Grain Insects.
4. the digital expression method of Stored Grain Insects retrieval table as claimed in claim 3, it is characterised in that:
Binary tree forest is constructed respectively according to the visual inspection rope table of Stored Grain Insects, section's retrieval table;
According to the retrieval table of Stored Grain Insects, single binary tree is constructed according to mesh, section, kind;
When Stored Grain Insects retrieval table has specific mesh, section, kind level logical relation, the binary tree forest and described single
It can be converted mutually between binary tree.
5. a kind of application method of the digital expression method of the described in any item Stored Grain Insects retrieval tables of claim 1-4,
It is characterized in that, the binary tree expression-form of Stored Grain Insects retrieval table is traversed:
It is first successively traversed from root node along left subtree, until left subtree is leaf node;
Then it traverses using parents' node of current leaf node as the non-left subtree in the y-bend subtree of root node, until the y-bend
All nodes of subtree are traversed;
The process that the binary tree expression-form of the above-mentioned Stored Grain Insects retrieval table of recurrence is traversed, can from root node until having found
Until all nodes reached, the binary tree digital expression sequence of Stored Grain Insects retrieval table is obtained.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810945402.7A CN109189787A (en) | 2018-08-20 | 2018-08-20 | A kind of the digital expression method and application method of Stored Grain Insects retrieval table |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810945402.7A CN109189787A (en) | 2018-08-20 | 2018-08-20 | A kind of the digital expression method and application method of Stored Grain Insects retrieval table |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109189787A true CN109189787A (en) | 2019-01-11 |
Family
ID=64918747
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810945402.7A Pending CN109189787A (en) | 2018-08-20 | 2018-08-20 | A kind of the digital expression method and application method of Stored Grain Insects retrieval table |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109189787A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112214662A (en) * | 2020-10-12 | 2021-01-12 | 深圳壹账通智能科技有限公司 | Service relationship query method and device, electronic equipment and storage medium |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101488235A (en) * | 2008-01-16 | 2009-07-22 | 中国科学院自动化研究所 | Constructing method for level detailed model of coniferous plant canopy |
CN104573405A (en) * | 2014-12-22 | 2015-04-29 | 中国科学院计算机网络信息中心 | Phylogenetic tree rebuilding method for building sub trees on basis of big trees |
-
2018
- 2018-08-20 CN CN201810945402.7A patent/CN109189787A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101488235A (en) * | 2008-01-16 | 2009-07-22 | 中国科学院自动化研究所 | Constructing method for level detailed model of coniferous plant canopy |
CN104573405A (en) * | 2014-12-22 | 2015-04-29 | 中国科学院计算机网络信息中心 | Phylogenetic tree rebuilding method for building sub trees on basis of big trees |
Non-Patent Citations (1)
Title |
---|
李鸿强等: "《基于 Web 的昆虫分类与检索系统实现》", 《环境昆虫学报》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112214662A (en) * | 2020-10-12 | 2021-01-12 | 深圳壹账通智能科技有限公司 | Service relationship query method and device, electronic equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Owens et al. | Sexual dimorphism in birds: why are there so many different forms of dimorphism? | |
Siegel et al. | Jungle fowl–domestic fowl relationships: a use of DNA fingerprinting | |
Harvey et al. | Comparing life histories using phylogenies | |
Swierczewski et al. | Hind limb morphology, phylogeny, and classification of the Piciformes | |
Kessler et al. | Systematic relationships among waterfowl (Anatidae) inferred from restriction endonuclease analysis of mitochondrial DNA | |
Leisler et al. | Evolution of island warblers: beyond bills and masses | |
Gowen | Hybrid vigor in Drosophila | |
Holland et al. | The complexity of social complexity: A quantitative multidimensional approach for studies of social organization | |
Ceccarelli | Behavioral mimicry in Myrmarachne species (Araneae, Salticidae) from North Queensland, Australia | |
Karabag et al. | Classification tree method for determining factors that affecting hatchability in Chukar Partridge (Alectoris chukar) eggs | |
Velasco et al. | Calculating growth parameters of Genidens barbus (Siluriformes, Ariidae) using length composition and age data | |
CN109189787A (en) | A kind of the digital expression method and application method of Stored Grain Insects retrieval table | |
Ort et al. | Fungal diversity associated with Hawaiian Drosophila host plants | |
Thomas et al. | The nomenclature of fossil‐taxa representing different preservational states: Lepidodendron as a case‐study | |
Häuser | The debate about the biological species concept‐a review | |
Jensi et al. | MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT. | |
Muluneh et al. | Morpho-biometric characterization of indigenous chicken ecotypes in north-western Ethiopia | |
Guner et al. | THE IMPACT OF INDUSTRY CHARACTERISITCS ON EXPORT PERFORMANCE: A THREE COUNTRY STUDY. | |
Bossert et al. | Regulation of intracellular algae by various strains of the symbiotic Hydra viridissima | |
Collazo | Evolutionary correlations between early development and life history in plethodontid salamanders and teleost fishes | |
CN112837739B (en) | Hierarchical feature phylogenetic model based on self-encoder and Monte Carlo tree | |
Kumar et al. | The Different Techniques for Detection of Plant Leaves Diseases | |
Breitwieser et al. | Phylogenetic relationships and character evolution in New Zealand and selected Australian Gnaphalieae (Compositae) inferred from morphological and anatomical data | |
CN108804599A (en) | A kind of fast searching method of similar subgraph | |
McEntee et al. | The macroecology of passerine nest types, in the light of macroevolution |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190111 |