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Here, the document number acquisition unit a searches for keywords in all document sets stored in the all document set file a, and acquires the number Nk of documents including the keywords in all document sets. Evaluating apparatus, cluster generating apparatus, program, recording medium, evaluation method, and cluster generation method. The device has Remote Play, allowing users to play PlayStation 4 games. First method: Open Start menu, select All Apps. Download options.

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Multiple interval mode search]. In the multiple interval mode search, bio-items cannot be searched for catalog sets, and bio-items are searched only for document sets. Search directly for keywords SF-2, 3. That is, the set of direct search solutions that satisfy interval 1 A set of direct search solutions satisfying interval 2 is obtained as group 1 and bioitem group 2 is obtained. Here, since the processing contents of the direct search have been described above, a description thereof will be omitted.

Here, if the bioitem search system determines that the co-occurrence keyword correlation score satisfies a predetermined level as a result of the calculation by the process of the co-occurrence keyword correlation score calculation unit m, the null hypothesis is denied, and the You may control to output bio item pairs as solutions.

Here, an example of a search result display screen in the multiple interval mode will be described with reference to FIG. In the example shown in Fig. Enter the 15th area "" to "". As described above, in the multiple interval mode, the user can obtain a bio-item pair having a high overall correlation considering the genome region. In this embodiment of the present embodiment, the search function is configured to operate on a plurality of distributed computers.

As a result, the processing time can be shortened as a result of the parallel processing. The search operation is completed in a few seconds to a second. That is, this bioitem search system is configured by a user client , a system management server , and a backend as shown in FIG.

Further, the back end includes a back end management server , a document number acquisition server , and distributed document search servers a to x distributed. In addition, the system management Sano 00 is connected to a plurality of knock ends l to n constructed for each bio-item type l to n mouse gene, human gene, drug, metabolite, bioresource, disease, etc. If necessary, distributed parallel processing is executed between the back ends.

Bioitems, such as drugs, that do not have a genome sequence are treated as virtual genes that do not have a position on the genome sequence. The operation of this bio-item search system The procedure will be described. Here, the user can input an interval, or a sequence of identifiers, or both an interval and a sequence of identifiers.

Or both an interval and an identifier column. Then, the user client , Q sending these requests data input by the user, the system management server 4 The document number acquisition server that has received the keyword uses the document number acquisition document set all document set group and relates to the number of documents Nk related to the keyword for each document set type 1 to m and the keyword.

In addition, a set of the number of documents , Nk is acquired and returned to the notend management server Ask for reason. That is, the operation of each distributed document search server is as follows. Figure 19 shows the distribution 2 is a diagram illustrating an example of an architecture of a document search server A set of the number of related documents Nk, the number of documents not related to the keyword, and Nk is received and transmitted to the full text searcher When the number of documents Nh is 1 or more, the item area determination unit i checks whether bioitem 1 exists in the interval.

Extract and obtain correlation score P co-occurrence correlation score between bio item 1 and bio item X. When it is determined that the bio item X exists at the interval, the control device adopts the bio item X as a search result, and the correlation score calculation unit d performs a correlation score between the bio item X and the keyword.

The correlation score and the co-occurrence correlation score are also determined by synthesis. When the composite P value is below the predetermined level, the bio-item inference unit e transmits the identifier of the bio item X and the composite P-value to the full-text search unit However, if there is a homology relationship, apply this relationship.

Send to correlation score calculator d. The correlation score calculator d creates the document number table shown in FIG. For each bioitem pair, do the following:. This pair is. And bio-item reasoner 2 1 2. When this total correlation score is below the default level, no item X no item 1, correlation score,. That is, the document search server stores all document sets having all catalog documents, and performs a full-text search using keywords for the document sets.

To obtain documents related to the keyword. Further, the knock-end management server uses the location information database d for each bio item to check whether the bio item exists in the interval V.

Here, the bio item that exists in the interval is the solution. At this time, since the correlation score of the catalog document search result is always 0, the result of the catalog is always ranked higher in the result display page displayed to the user.

In this case, as shown above, it is possible to send requests to multiple document set search systems and multiple catalog set search systems at the same time, and summarize these results. In each distributed search server that has received the request and the number of documents, the number of documents related to the keyword for each of the bio-item groups 1 to r for which the distributed document search server is in charge for each document set type 1 to m Nh To get.

The following procedures i to ii are executed for the bioitems whose number Nh is 1 or more in any of the literature set types l to m. When it is determined that it exists in the interval region on the genome , based on the set of the number of documents obtained in 3 and Z or the number of obtained documents Nh Calculate the correlation score.

If the distributed document search server determines that the correlation score is lower than the predetermined significance level below a predetermined threshold , the null hypothesis is denied, and the bioitem is returned to the backend management server as a solution.

When a bio-item-bio-item relationship based on a co-occurrence correlation score, for example obtained from a compelling document is applied, a bio-item related to the bio-item related bio-item is obtained. To do. When it is determined that the distributed document search server exists in the interval, the correlation score of the original candidate bioitem is obtained by statistical calculation based on the set of the number of documents obtained in 3.

Then, the distributed document search server further calculates a total correlation score synthetic correlation score by synthesizing the correlation score value and the correlation score co-occurrence correlation score of the bioitem bioitem relationship, and The related bio item is returned to the back end management server as a solution. The two intervals are interval 1 and interval 2, respectively. The number Nh is obtained, and the following procedure is executed for bioitems candidate bioitems with the number Nh of one or more of literature set types l to m.

And the correlation score between the keyword and the bio item by statistical calculation Calculate When the distributed document search server determines that the correlation score is below a predetermined significance level predetermined threshold value , the null hypothesis is denied and the bioitem candidate bioitem is found in the interval 1 Return to the backend management server as an item.

Is sent to each of the distributed document search servers a to x to request a document search process. Each document search server a-x executes the following procedures iii - v. For each bioitem each candidate bioitem with the number of documents of any of the literature set types l to m greater than or equal to 1, execute the following procedure.

Further, a correlation score between the keyword and the bio item is calculated. When this correlation score falls below a predefined significance level predetermined threshold , execute V. Among these, a pair having a bio-item-noio item relationship stored in the bio-item relationship database previously obtained from the literature is selected based on the co-occurrence relationship.

Further, the correlation score for each selected bio item pair is calculated by synthesizing the correlation score obtained in iv and the correlation score co-occurrence correlation score of the bio item bio-item relationship. The bio-item pair whose correlation score is lower than the predetermined significance level predetermined threshold is returned to the back-end management server At this time, for each solution bioitem candidate bioitem or related bioitem that is a search result, generally, a plurality of solutions are obtained a plurality of candidate bioitems that are passed through from the keyword to the solution bioitem are obtained.

Among these, the solution with the lowest overall correlation score is the solution of the bio item. Next, the system management server 00 sorts the obtained solution list in ascending order of correlation score, converts this result into an HT ML document, and returns it to the user client In other words, the system management server 00 may be implemented as a Web server, configured to accept a request from a Web browser that is the user client via the Internet, and transmit the result in the HTML document format.

Here, a display example on the Web browser of the processing result transmitted from the Web server to the client in the above-described embodiment will be summarized.

It has been executed using. The number of bioitems is 58, for mouse genes, 22, for human genes, 9, for metabolites, 1, for drugs, 1, for disease names, and 12, for mouse mutants. There are 22, gene catalogs, 9, metabolite catalogs, 1, drug catalogs, and 1, disease name catalogs. There are 9, cases, drug catalogs 1, cases, disease name catalogs 1, cases. There are 22,, metabolite catalog 9,, drug catalog 1,, disease name catalog 1, In this example, 52 solutions were obtained, and the search time was 0.

In this example, 13 solutions were obtained, and the search time was 2. In this example, 5 solutions were obtained, and the search time was 0. In this example, 9 solutions were obtained, and the search took 0. Reference set types MEDLINE, PPI, mutant mouse It is a figure showing an example of searching mouse genes, human genes, metabolites, drugs, mutant mice, and diseases using catalogs, OMIM, mouse gene catalog, human gene catalog, metabolite catalog, drug catalog, disease name catalog.

In this example, 8, solutions were obtained, and the search time was 3. In this example, 5, solutions are obtained, and the search time is 1. Document set types MEDLINE, PPI, mutant mouse catalog, OMIM, mouse gene It is a figure which shows the example using the Boolean logic formula which also comprises the identifier power of a human gene as a keyword in the example which searches a mouse gene using a catalog, a human gene catalog, a metabolite catalog, a medicine catalog, and a disease name catalog.

In this example, 15 solutions were obtained, and the search time was 1. In this example, two solutions were obtained, and the search time was 0. In this example, 17 solutions were obtained, and the search time was 1.

Document full text searcher collects all documents related to the bioitem document set for each document set type 1 to m all document sets: all associated with at least one bioitem! By performing a full-text search using a keyword for the entire document set, the number of documents Nk related to the keyword and the number of documents Nk related to the keyword are obtained for each document set type 1 to m.

Here, as for the format of the entire document set file, the index format of Apac he Lucene trademark is preferably desired!

That is, in the full text searcher , a set of related documents bioitem document set is arranged for each of the bioitems 1 to r of the assigned bioitem document set. At this time, related document groups are arranged and arranged for each document set type as shown in FIG.

Here, the format of the bioitem reference set file is preferably the Apache Lucene trademark index format, but the present invention does not limit this file format. There are two types of relationships between two bio-items: A and B. For the two bio-items from which such co-occurrence relation forces are also extracted, the two-dimensional document number table and the correlation score co-occurrence relation correlation score are pre-calculated for each of the literature set types l to m.

Is made into a database. Here, the two-dimensional document number table means that the two bio items are bio item 1 and bio item 2, respectively: a: number of documents including both bio item 1 name and bio item 2 name, b : Number of documents including the name of bio item 1 but not including the name of bio item 2, c: Number of documents including the name of bio item 2 without including the name of bio item 1, d: Name of bio item 1 is also bio item This is a two-dimensional document number table consisting of the values of a, b, c, and d for the number of documents that do not include the name of 2.

The co-occurrence relationship correlation score is a P value calculated by testing the two-dimensional document number table using Fisher's exact test. At this time, the 2D document number table is not defined. This number is. When P k — g is below a predetermined level predetermined threshold value , use bio-item area discriminator 2 1 2i to check whether bio-item 1 is included in the interval. Execute 6 and 7 for each selected bio item xi. Here, in determining whether or not a bio item exists in an interval, if the bio item belongs to a bio item set that does not have a position such as a medicine, it is always processed as being present in the interval.

Also, the biological species of the bio item Even if the species of the genome sequence in the region interval specified by the user is different, this homology relationship is applied if a homology relationship exists. Using this document number table, bio-items based on statistical calculations The score between the keyword and the keyword may be calculated.

That is, according to the above 3 and 4 , the number-of-documents table shown in FIG. The document number table constructed in this way is hereinafter referred to as a composite document number table. Calculate the correlation score between the bio item and the key field from the document count table for each document set type that is not the target of creating the composite document count table.

Here is an empty document count table. May be calculated. That is, the document number table ', d ' shown in Fig. A new composite document number table a table in which the value A is assigned to a, the value B is assigned to b, the value C is assigned to c, and the value D is assigned to d in FIG. And the correlation score between the bio-item and the keyword is calculated from the document number table for each type of document set that is not the target of the composite document number table creation.

As shown in Figure 32, the number-of-documents table shows: a the number of documents including bioitem 1 and including 2 bioitems, b the number of documents not including bioitem 1 and including 2 bioitems. C Number of documents containing bioitem 1 and no 2 bioitems, and d No bioitem 1 and 2 bioitems At least one of the four items a to d of the number of documents is also configured. In other words, the method for creating the composite document number table in 5 can be selected from three methods: weak, strong, and none not shown in the figure for each document set type.

Here, for the document set types for which weak is set, a composite document number table is created from the two-dimensional document number table of these document set types. For a document set type for which strong is set, when the number of documents hitting the keyword obtained in 3 of the document set type is n or more, the correlation between the keyword of the document set type and the bio item h. In this way, the document set type set to strong has the same effect as the operation of the document server for the power log set, and the function to search the document set and the catalog set at the same time is realized.

In addition, a document set type for which none is set is excluded from the document set type to be searched. That is, as shown in the left figure of Fig. In other words, the method for creating the composite document number table in 6 can be selected from three methods of weak, strong, and none not shown in the figure for the document set type.

For a document set type for which strong is set, when one or more co-occurring documents exist, the correlation score between the two bioitems of the document set type is set to zero. In this way, when the user makes various selections for each document set type, the search display results as shown in FIG. It is the figure which showed the example which displayed the detail of. The total correlation score obtained here. Then, the correlation score calculator 2 1 2 d creates the 2D document number table shown in Table 1 below, and uses this Fisher's exact test to determine the P value.

The pair of the obtained P value and 2D document count table is returned to the full text searcher 2 1 2. Next, the knock end management server collects the solutions returned from all the distributed document search servers a to x and generates a solution list L. The full text searcher performs the following operations. Send to search unit 2 1 2. When Bio Item 1 is a solution, 14 is executed.

Perform a and b below for each bio-item pair! Inferring this item pair with bio-items. Correlation score calculator 2 1 2 d is the overall correlation score. Where Min a, b is a function that returns the lesser of a and b. Single interval mode inference search solution, multiple interval mode solution The two bio-items are given a relationship between them, and the literature set obtained in 3 , 4 , 6 for each of these two bio-items and the relationship between the two bio-items, There are three sets of lists that also contain correlation scores and 2D document count table capabilities.

The detailed operation is described below. Get a list of triples. At this time, all the document sets that have a two-dimensional document number table in all three triplets are acquired.

Execute 4 for each acquired document set d. Obtain the number of documents and let it be s. Return to Sano This is the end of the detailed analysis of the number of hit documents. In this case, the accuracy of the ranking result is greatly improved.

May be implemented. For example, as a path name of a document folder,. By applying the method of the present invention with the path name as the bioitem name, a document set having these documents can be created as a bioitem document set in the document folder. May be configured to perform processing in response to a request from another terminal device configured in a separate case and return the processing result to the client terminal.

It is comprised with. The relevant keyword is transmitted to the bioitem search device , and the candidate bioitem, the related bioitem, or the co-occurrence keyword correlation score output from the bioitem search device is received by the processing of the reception output unit c. And output to the output unit And user input information such as genome region information and identifier information is controlled SG The above is another embodiment when the present invention is applied to a client terminal bioitem search terminal device All or a part of the processing described in the above can be automatically performed by a known method.

The program is recorded on a recording medium to be described later, and is mechanically read by the bio item search device as necessary. This computer program is executed by being loaded into the RAM, and constitutes a control unit in cooperation with the CPU.

It is also possible to do. And those that achieve that function. Note that a specific configuration for reading the recording medium in each device described in the embodiment, a reading procedure, or an input after reading. A well-known configuration and procedure can be used for the stall procedure and the like.

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W51S - Stylish phone with backlight illumination panel. W43S - Stylish phone with elegance and beauty design. Walkman Keitai W42S - Walkman phone with music style design and illumination music control. W32S - Style-phone with Osaifu-Keitai support.

W31S - Multimedia phone designed for music. It features additional functions like Sony's music store mora touch. Global Keitai SOi - Global elegance phone with illumination panel. SOi - Smart elegance phone with illumination panel. SOi - Multimedia phone with touchscreen function. SOi - Stylish phone with illumination panel on the cover.

Aroma Keitai SOi - Beauty and elegance phone with replaceable aroma sheet in the front cover. It doesn't have external memory slot. It is almost similar to global model Si. Some information may be missing.

This walkman branded version of this headset is also branded with BassReflex, which is a technology that improves the Bass quality. First headset with 3. Comes in trendy colours. HPM similar to HPM, but with jogging earplugs earbuds which are half in-ear HPM similar to HPM, but with regular jogging earbuds - only one colour grey HPM stereo handsfree telephone headset is bundled with many of the company's phones.

A microphone, call answer key and 3. Has in-ear plugs. HPM fixed up the issues relating to the HPM's microphone - that is, when it picked up too much environmental sound - along with an upgrade in audio quality. HPM stereo handsfree with built-in radio receiver, music controls and an lcd screen used to display current fm radio frequency. HPM stereo handsfree with built-in music controls that is bundled with some of the walkman branded mobile phones.

HPM stereo standard handsfree with neckband. HPM full size stereo headphones for Sony ericsson mobile phones. Has same control unit with microphone as HPM HPM stereo handsfree with noise cancelling function and non-removable in-ear plugs - due to the second microphone being inside one earplug. MH stereo handsfree with non-removable earbuds - Greenheart seriesMH motion activated stereo handsfree with non-removable in-ear plugstrrs 4-pole 3. PC World.

Retrieved Archived from the original on Retrieved November 26, Retrieved May 12, By using this site, you agree to the Terms of Use and Privacy Policy. Contents1 Models1. He states, 'It the Xperia smartphone sold over , units in its first week in Japan, taking a 24 percent market share straight away.

The smartphone also has Ingress Protection Ratings of IP55 and IP58, making it dust protected, low pressure water jet protected, and waterproof. It was released on 17 May in Japan where it is marketed as the 'Xperia A'. The ZL compromises water and dust proofing for a thinner frame, an IR blaster, a dedicated camera button, slightly more battery capacity and a cheaper build.

The Xperia Z1 is a dust resistance and waterproof phone with a rating of IP55 and The main feature of the device is the Similar to its predecessor, the Sony Xperia Z, the phone features tempered glass covered by shatterproof film on front and back which is held together by a one piece aluminium frame. With Qualcomm's latest quad-core Snapdragon S processor clocked at 2. It does retain the same hardware as the Xperia Z1, such as the It comes with latest Android Version 5. Xperia Z2 has the same It has a much improved display now -Sony used IPS technology instead of TFT, which means that there is a very noticeable improvement in viewing angles and color accuracy.

As its predecessor, it will feature Snapdragon and 4K video recording. The device has Remote Play, allowing users to play PlayStation 4 games.

The Xperia Z3 was released in September Unlike the Z1 Compact, its weight is g and has a 4. Like its flagship, it has the same IP rating and was released in September The Xperia Z Ultra can be used to take notes or draw on with a regular pen or pencil. First announced in Japan, the tablet was then announced globally in Barcelona at the Mobile World Congress on February 25, Weighing 1. Succeeding the Xperia Tablet S, the Xperia Tablet Z comes with a faster processor, a better front-facing camera, a higher-resolution screen, and Ingress Protection Ratings of IP55 and IP57, for dust-protected, water-jet protected, and waterproof in up to one meter of water for up to thirty minutes.

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