CN109726923A - Institution of higher learning based on consultation information carry out legal risk appraisal procedure - Google Patents
Institution of higher learning based on consultation information carry out legal risk appraisal procedure Download PDFInfo
- Publication number
- CN109726923A CN109726923A CN201811642141.8A CN201811642141A CN109726923A CN 109726923 A CN109726923 A CN 109726923A CN 201811642141 A CN201811642141 A CN 201811642141A CN 109726923 A CN109726923 A CN 109726923A
- Authority
- CN
- China
- Prior art keywords
- information
- risk
- student
- consultation
- institution
- 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
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to institution of higher learning's legal risk precautionary technology fields, in order to solve in existing university managementt method, the problem of cannot being resolved in time when student encounters legal issue, provide a kind of institution of higher learning's progress legal risk appraisal procedure based on consultation information, comprising the following steps: obtaining step: obtain the consultation information of student；Identification step: identifying consultation information, and risk information corresponding with consultation information is matched from the database for be stored with risk information；Push step: it will identify that the risk information come is pushed to student；Further include having statistic procedure: statistic of classification is carried out to the risk information identified；When the number of the risk information of a certain type counted on statistical threshold preset more than database, which is pushed to school side.
Description
Technical field
The present invention relates to institution of higher learning's legal risks to manage technical field, specially a kind of high institute based on consultation information
School carries out legal risk appraisal procedure.
Background technique
The important task of scientific research, community service is born as talent culturing base by institution of higher learning, to controlling in accordance with the law
The extension and expansion of state, are the basic demands of China's laws and regulations, facilitate harmonious campus construction.And in actual institution of higher learning
Management in, influenced by multiple factors, there is a variety of legal risks for the management work of institution of higher learning, therefore for law wind
The assessment of danger and the construction of prevention and control system also just show important.In existing university managementt system, in order to improve student's
Risk prevention consciousness, school can periodically hold legal risk and explain and publicise activity, and school side can be high for some probability of happening in activity
Legal issue explained and publicised on a large scale, to improve students to the prevention awareness of risk, however due to explain and publicise it is movable usually
It is all that so, when student encounters legal issue, can not be solved in time every just holding for a period of time once
Certainly, it cannot also accomplish the timely prevention to risk.
Summary of the invention
It is existing to solve the invention is intended to provide a kind of institution of higher learning's progress legal risk appraisal procedure based on consultation information
In some university managementt methods, the problem of cannot being resolved in time when student encounters legal issue.
The present invention provides base case: the institution of higher learning based on consultation information carry out legal risk appraisal procedure, including
Following steps:
Obtaining step: the consultation information of student is obtained；
Identification step: identifying consultation information, and matches and seek advice from from the database for be stored with risk information
The corresponding risk information of information；
Push step: the risk information come will be matched and be pushed to student；
Further include having statistic procedure: statistic of classification is carried out to the risk information identified；When a certain type counted on
When the number of risk information is more than database preset statistical threshold, which is pushed to school side.
Illustrate: the risk information in this programme refer to this ask questions in behavior risk classifications and risk class,
If asking questions for student is to do manual work not sign a contract, the risk classifications of behavior are to do manual work, and risk class is middle rank.
The working principle and beneficial effect of base case is: compared with existing management system, in the present solution, 1. pass through
After identification step identifies the consultation information of student, risk information corresponding with the consultation information is pushed in time
Raw, student can also carry out the corresponding precautionary measures in time after receiving risk information；
2. being additionally provided with statistic procedure to count the risk information that student faces, but the risk classifications counted on are big
When statistical threshold, indicate that most of student has met with this kind of legal risk, i.e. this kind of legal risks
Probability of happening is high, and the risk information is pushed to school side at this time, to complete the collection work of the legal issue high to probability of happening
Make, does not need school side and be individually collected work, the risk information that school side also can directly arrive according to statistical module counts again
It is explained and publicised, student can also know that the high law of probability of happening is in fashion by the activity of explaining and publicising, and meet with the law wind to reduce
The probability of danger.
Preferred embodiment one: further including appraisal procedure as the preferred of basic scheme: the risk information recognized is sent to
Law expert end, and the assessment information of law expert end feedback made to the risk information is received, push step also comments this
Estimate information and is pushed to student.The utility model has the advantages that in the present solution, carrying out risk by consultation information of the setting law expert end to student
The assessment of information, and corresponding risk class is fed back into student, student also just understand that the grade of legal risk, to increase
Add vigilant, avoids the generation of risk.
Preferred embodiment two: preferably one it is preferred, identification step further include to assessment information identify, work as knowledge
When to be clipped to the risk class of assessment information be advanced, assessment information also with corresponding risk information is pushed to school by push step
Side.The utility model has the advantages that in order to improve the efficiency for explaining and publicising work, therefore when explaining and publicising, school side is usually all to select some risks
High legal risk is explained and publicised, in the present solution, by identifying to assessment information, when the risk class of assessment information is height
When grade, that is, indicate that the legal risk than more serious, needs school side's great care, therefore by risk that legal risk is high in this programme
Information is pushed to school side, that is to say, that and the risk information that school side receives all is the relevant information for writing the high legal risk of risk,
When being explained and publicised, school side can directly be explained and publicised according to the risk information and assessment information that receive, and no longer be screened
Work, to improve the efficiency for explaining and publicising work.
Preferred embodiment three: preferably one it is preferred, in appraisal procedure assess information further include and risk class phase
Corresponding prevention information.The utility model has the advantages that assessment information includes the generation that averts risks convenient for student after prevention information.
Preferred embodiment four: as the preferred of basic scheme, the risk information in identification step includes manual labour risk and loan
Risk.The utility model has the advantages that the risk faced is mainly from doing manual work and providing a loan for the student of institution of higher learning, and therefore, risk letter
After breath is including manual labour risk and credit risk, be conducive to the risk problem for helping student to solve oneself in time.
Preferred embodiment five: as the preferred of basic scheme, statistic procedure further includes uniting to the consultation information received
Meter, and statistical report form is generated, push step includes that statistical report form is pushed to school side.The utility model has the advantages that uniting to consultation information
After counting and generating statistical report form, the consulting of student is comprehensively understood convenient for school side.
Detailed description of the invention
Fig. 1 is to carry out using in legal risk appraisal procedure embodiment one the present invention is based on the institution of higher learning of consultation information
The modularization block diagram of institution of higher learning's legal risk assessment and crime prevention system；
Fig. 2 is to carry out using in legal risk appraisal procedure embodiment two the present invention is based on the institution of higher learning of consultation information
The modularization block diagram of institution of higher learning's legal risk assessment and crime prevention system.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one
The institution of higher learning's legal risk assessment used in the present embodiment and crime prevention system, substantially as shown in Fig. 1: high institute
The assessment of school legal risk and crime prevention system, including server-side, server-side include database, the risky information of database purchase and system
Threshold value is counted, risk information includes type information；
Receiving module, for obtaining the consultation information of student；
Identification module for identifying to consultation information, and is matched from database corresponding with consultation information
Risk information；
Pushing module, for risk information to be pushed to the student；What pushing module was also used to for identification module being matched to
Risk information is sent to law expert end；Receiving module is also used to receive making to the risk information for law expert end feedback
Assess information；Assessing information includes risk class and prevention information corresponding with risk class；Pushing module is used for should
Assessment information is pushed to student；Identification module is also used to identify assessment information, when the risk etc. for recognizing assessment information
When grade is advanced, pushing module will assess information and be pushed to school side with corresponding risk information；
Statistical module, the risk information for identifying to identification module carries out statistic of classification, when statistical module counts arrive
A certain type risk information number be more than statistical threshold when, which is pushed to school side by pushing module；Statistics
Module is also used to count the consultation information that receiving module receives, and generates statistical report form, and pushing module reports statistics
Table is pushed to school side.
The risk information of database purchase includes manual labour risk, credit risk and risk of renting a house etc., the wind in the present embodiment
Dangerous information includes manual labour risk and credit risk, and the type information that the risk information of manual labour risk includes then is " manual labour ", loan
The type information of risk is " loan ".
Institution of higher learning based on consultation information carry out legal risk appraisal procedure, comprising the following steps:
Obtaining step: the consultation information of student is obtained；
Identification step: identifying consultation information, and matches and seek advice from from the database for be stored with risk information
The corresponding risk information of information；Risk information includes manual labour risk and credit risk；
Push step: the risk information come will be matched and be pushed to student；
Further include having following steps:
Statistic procedure: statistic of classification is carried out to the risk information matched；When the risk information of a certain type counted on
Number be more than preset statistical threshold when, which is pushed to school side；The consultation information received is counted,
And statistical report form is generated, push step includes that statistical report form is pushed to school side；
Appraisal procedure: the risk information that will match to is sent to law expert end, and receives pair of law expert end feedback
The assessment information that the risk information is made, assessment information include risk class and prevention information corresponding with risk class push
The assessment information is also pushed to student by step；Assessment information is identified, when the risk class for recognizing assessment information is
When advanced, assessment information is also pushed to school side with corresponding risk information by push step.
When student is seeked advice from using this system, receiving module gets the consultation information of student, then identification module
The consultation information is identified, and matches corresponding risk information from database, if the consultation information of student is to close
When " do manual work it should be noted that the problem of ", after identification module identifies the type of " manuals labour " at this time, matched from database dozen
The risk information is then pushed to the student by the risk information of work risk, pushing module.
In the above process, statistical module carries out statistic of classification to the risk information that matches, such as statistical module counts at this time
To the risk information of manual labour class add one, when the number for the manual labour type that statistical module counts arrive is more than statistical threshold, in full
According to the statistical threshold stored in library be five when, in risk information of the statistical module counts to six manual labour types, also just mean
Have six people/time consultation information be to indicate that the student of school frequently encounters the relevant issues of manual labour about manual labour, push away at this time
Send module that manual labour risk is then pushed to school side, school side can then explain the related content of some manual labour risks when explaining and publicising, with
Student is allowed to know the risk done manual work, to enhance your vigilance.
And after identification module matches risk information, which is also pushed to law expert end by pushing module,
The risk information is assessed by law expert, as law expert assesses the risk information as middle rank and provides corresponding prevention
Information, receiving module, which receives, is pushed to student after the assessment information, student to know oneself manual labour behavior there may be
There is the risk of middle rank, additionally it is possible to which the prevention information provided according to law expert is taken precautions against accordingly, avoids the generation of risk；And
When it is advanced that law expert, which assesses the legal risk, assessment information can be also pushed to by pushing module with corresponding risk information
School side, school side also just knows this manual labour behavior, and there are higher legal risks, just need to be explained and publicised emphatically when explaining and publicising.
In the above process, overall understanding in order to facilitate school side to the consultation information of student, statistical module is also to student's
Consultation information is counted and is generated statistical report form, specifically, after statistical module counts consultation information, by what is counted on
Consultation information is classified according to type information, such as counts on the consultation information of 30 manual labour classes and the official communication of 18 loan classes
Information is ask, after which is pushed to school side, school side can not only recognize the type information of the consultation information of student, moreover it is possible to
It is clearly understood that the accounting of all types of information.
Embodiment two
With embodiment one the difference is that, in the present embodiment, as shown in Fig. 2,
Server-side further includes monitoring module, identification module recognize ask questions for loan consulting when, monitoring module pair
The consumption of the student is monitored, and identification module is also used to identify the consumption monitored；Specifically, due to present school
It is both provided with all-purpose card service, student is also just able to carry out consumption using the campus card of oneself, therefore this system is blocked in acquisition one
After the running background of logical service, the record of swiping the card of the student can be also monitored, thus realize consumption to the student into
Row monitoring, identification module then identify the amount of money of the college student's consumption monitored；
Tracing module, after the consumption that identification module recognizes the student rises, tracing module tracks whether the student has
Behavior of lending；Specifically, after tracing module sends inquiry message and receive the feedback information of the student to student, according to feedback letter
Breath judges whether the student has behavior of lending；
When having tracked behavior of lending, tracing module is also used to track whether the behavior of lending has Protocol document；It is chasing after
Track module, which tracks the student, has behavior of lending and when the behavior of lending has Protocol document, and receiving module receives the Protocol document,
The Protocol document is pushed to law expert end by pushing module；Receiving module is also used to receive the agreement of law expert end feedback
The evaluation information of document risk；Database is also stored with credit risk information, has tracked behavior of lending in tracing module and has not had
When having Protocol document, pushing module is used to push credit risk information to the student；
Pushing module is also used to evaluate information and is sent to the student；Database purchase has financing information, in identification module
The consumption rising and tracing module for recognizing the student track when not having behavior of lending, and pushing module is pushed to the student and managed money matters
Information.
It is further comprising the steps of that the institution of higher learning based on consultation information in the present embodiment carry out legal risk appraisal procedure:
Monitoring step: when recognizing consultation information is loan consulting, the consumption of the student is monitored, and to monitoring
To consumption identified；
Tracing step: after the consumption for recognizing the student rises, track whether the student has behavior of lending；It is tracking
When having behavior of lending, also track whether the behavior of lending has Protocol document；Tracking the student in tracing module has behavior of lending
And the behavior of lending receives the Protocol document, which is pushed to law expert end when having Protocol document；Also Receiving
Restrain the evaluation information of the Protocol document risk of expert end feedback；When having tracked behavior of lending and there is no Protocol document, to
The student pushes credit risk information；
Evaluation information is also sent to the student by push step；Rising and track in the consumption for recognizing the student does not have
When behavior of lending, financing information is pushed to the student.
Specific implementation process is as follows:
When student is seeked advice from using this system, if identification module recognizes the consultation information of the student as loan consulting
When, if identification module recognizes the wording in the consultation information of student containing " loan ", then illustrate that the student may have at this time
The demand of loan, therefore monitoring module is monitored the consumption of the student at this time, since present school is both provided with all-purpose card
Service, student is also just able to carry out consumption using the campus card of oneself, therefore monitoring module only needs the note of swiping the card to the student
Record, which is monitored, also can be realized as being monitored the consumption of the student, and identification module then carries out the college student's consumption monitored
Identification.
After the consumption that identification module recognizes the student rises, such as the student is acquired after consumption statistic in halves
The day consumption of the student all remains to always 30 yuan or so, such as 30 binary, and later, identification module recognizes the student
Day consumption risen to 97 yuan, then illustrate that the consumption of the student increases suddenly, tracing module, which tracks the student, at this time is
It is no to have behavior of lending, specifically, tracing module sends the inquiry such as " whether having carry out behavior of lending " to the student terminal of the student
Ask information, if the feedback information received is "Yes", tracing module judges that the student has behavior of lending, if the feedback received
Information is "No" or " not having ", then tracing module judges that the student does not have behavior of lending.
When the feedback information that student provides is "Yes", show that the student has behavior of lending, tracing module is also at this time
Can track whether the loan has Protocol document, the Protocol document in the present embodiment refer to the contract that student and lender are signed or
Arrange file, specifically, tracing module sends the tracked information such as " whether with contract or agreement file " to student terminal, if
The feedback answer that student provides is "Yes", then it represents that the behavior of lending has signed Protocol document, and student is at this time by the agreement
The part clause of document is sent to receiving module, such as the regulation clause in Protocol document about the behavior repaid the loan, connects at this time
It receives module and receives the Protocol document, which is pushed to law expert's terminal by pushing module, and law expert also can
The Protocol document is evaluated, if the Protocol document is the agreement being unfair, as there are be unfavorable for the student in document
Clause when, then evaluating the Protocol document is high risk agreement, and student then needs after receiving the evaluation information to the loan
Enhancing your vigilance property of behavior, prevents risk；And if the feedback answer that the student provides be "No" when, then it represents that the student
There is no any contract or agreement is signed with regard to the behavior of lending, pushing module is then by the credit risk information in database at this time
It directly is pushed to student, student then can voluntarily carry out risk assessment according to credit risk information.
And if identification module recognizes the consumption rising of the student and tracing module tracks when not having behavior of lending, says
Although the bright student is rich, there is no provide a loan, it may be possible to because the parent cost of living given is more or the student obtains
Situations such as scholarship, pushing module pushes financing information to the student at this time, and student can be according to property of the information to oneself of managing money matters
It is planned, to avoid the occurrence of the case where recklessly spending expense.
Preferably, database purchase has property risks information, recognizes the consumption of student always above disappearing in identification module
When taking standard, if consumption standard is to consume 70 yuan day, the day consumption that identification module recognizes certain student is always held at 100
Member or so, pushing module are used to push property risks information to the student.Property risks information in the present embodiment includes known
Common fraud information, phone or short message money gain technology etc. by cheating.In view of if the consumption of student is always above consumption standard,
Such as student day consumption always be 100 yuan or more, also mean that the economy of the student is more rich, thus consumption when
Waiting also to be easy for occurring the cheated situation of money too with caution, therefore pushing module to the student pushes property wind at this time
Dangerous information, the student can know common some money hoaxes by the property risks information of push, avoid going out in consumption
The case where now being swindled money, so that the consumer behavior to the student is taken precautions against.
What has been described above is only an embodiment of the present invention, and the common sense such as well known specific structure and characteristic are not made herein in scheme
Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date
Ordinary technical knowledge can know the prior art all in the field, and have using routine experiment hand before the date
The ability of section, one skilled in the art can improve and be implemented in conjunction with self-ability under the enlightenment that the application provides
This programme, some typical known features or known method should not become one skilled in the art and implement the application
Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, can also make
Several modifications and improvements out, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented
Fruit and patent practicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification
The records such as body embodiment can be used for explaining the content of claim.
Claims (6)
1. the institution of higher learning based on consultation information carry out legal risk appraisal procedure, comprising the following steps:
Obtaining step: the consultation information of student is obtained；
Identification step: identifying consultation information, and matches and the consulting from the database for be stored with risk information
The corresponding risk information of information；
Push step: the risk information come will be matched and be pushed to student；
It is characterized by also including have statistic procedure: carrying out statistic of classification to the risk information matched；It is a certain when what is counted on
When the number of the risk information of type is more than database preset statistical threshold, which is pushed to school side.
2. the institution of higher learning according to claim 1 based on consultation information carry out legal risk appraisal procedure, feature exists
In: further include appraisal procedure: the risk information that will match to is sent to law expert end, and receives pair of law expert end feedback
The assessment information is also pushed to student by the assessment information that the risk information is made, push step.
3. the institution of higher learning according to claim 2 based on consultation information carry out legal risk appraisal procedure, feature exists
In: the identification step further includes identifying to assessment information, when the risk class for recognizing assessment information is advanced, is pushed away
Send step that the assessment information is also pushed to school side with corresponding risk information.
4. the institution of higher learning according to claim 2 based on consultation information carry out legal risk appraisal procedure, feature exists
In: it further includes prevention information corresponding with the risk class that information is assessed in the appraisal procedure.
5. the institution of higher learning according to claim 1 based on consultation information carry out legal risk appraisal procedure, feature exists
In: the risk information in the identification step includes manual labour risk and credit risk.
6. the institution of higher learning according to claim 1 based on consultation information carry out legal risk appraisal procedure, feature exists
In: the statistic procedure further includes counting to the consultation information received, and generate statistical report form, the push step packet
It includes and the statistical report form is pushed to school side.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811642141.8A CN109726923A (en) | 2018-12-29 | 2018-12-29 | Institution of higher learning based on consultation information carry out legal risk appraisal procedure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811642141.8A CN109726923A (en) | 2018-12-29 | 2018-12-29 | Institution of higher learning based on consultation information carry out legal risk appraisal procedure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109726923A true CN109726923A (en) | 2019-05-07 |
Family
ID=66299331
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811642141.8A Pending CN109726923A (en) | 2018-12-29 | 2018-12-29 | Institution of higher learning based on consultation information carry out legal risk appraisal procedure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109726923A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110491216A (en) * | 2019-07-12 | 2019-11-22 | 联想(北京)有限公司 | A kind of information processing method, device and storage medium |
| CN111192483A (en) * | 2020-02-29 | 2020-05-22 | 重庆百事得大牛机器人有限公司 | Robot-based legal classroom announcement system and method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127629A (en) * | 2016-07-06 | 2016-11-16 | 泉州市法智星软件有限公司 | Palm public legal services client, server and system |
| CN107993076A (en) * | 2017-12-15 | 2018-05-04 | 徐州领路人教育咨询有限公司 | A kind of commerce consultation system |
| CN108062632A (en) * | 2018-01-02 | 2018-05-22 | 京东方科技集团股份有限公司 | Methods of risk assessment and device, equipment and storage medium |
| CN108596797A (en) * | 2018-04-30 | 2018-09-28 | 于海松 | A kind of legal advice service platform public platform |
-
2018
- 2018-12-29 CN CN201811642141.8A patent/CN109726923A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127629A (en) * | 2016-07-06 | 2016-11-16 | 泉州市法智星软件有限公司 | Palm public legal services client, server and system |
| CN107993076A (en) * | 2017-12-15 | 2018-05-04 | 徐州领路人教育咨询有限公司 | A kind of commerce consultation system |
| CN108062632A (en) * | 2018-01-02 | 2018-05-22 | 京东方科技集团股份有限公司 | Methods of risk assessment and device, equipment and storage medium |
| CN108596797A (en) * | 2018-04-30 | 2018-09-28 | 于海松 | A kind of legal advice service platform public platform |
Non-Patent Citations (1)
| Title |
|---|
| 杨长春等: "《大数据时代的"平安校园"信息化建设探究》", 31 October 2016, 对外经济贸易大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110491216A (en) * | 2019-07-12 | 2019-11-22 | 联想(北京)有限公司 | A kind of information processing method, device and storage medium |
| CN111192483A (en) * | 2020-02-29 | 2020-05-22 | 重庆百事得大牛机器人有限公司 | Robot-based legal classroom announcement system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Allee et al. | The structure of voluntary disclosure narratives: Evidence from tone dispersion | |
| Xiao et al. | Financial behaviours of consumers in credit counselling | |
| Biderman et al. | Understanding crime incidence statistics: Why the UCR diverges from the NCS | |
| Bakhtiari | Entrepreneurship dynamics in Australia: Lessons from micro‐data | |
| CN107844914B (en) | Risk management and control system based on group management and implementation method | |
| CN105678457A (en) | Method for evaluating user behavior on the basis of position mining | |
| Croley | Beyond capture: Towards a new theory of regulation | |
| CN102495942A (en) | Assessment method for risks of internal network of organization and system | |
| CN109726923A (en) | Institution of higher learning based on consultation information carry out legal risk appraisal procedure | |
| CN105809605A (en) | Business field applied credit information system | |
| Teubler et al. | Financial carbon footprint: calculating banks' scope 3 emissions of assets and loans | |
| Gottschalk et al. | Stages of knowledge management technology in the value shop: the case of police investigation performance | |
| CN109740927A (en) | The assessment of institution of higher learning's legal risk and crime prevention system | |
| Copestake et al. | Generating credible evidence of social impact using the Qualitative Impact Protocol (QuIP): The challenge of positionality in data coding and analysis | |
| CN112712270B (en) | Information processing method, device, equipment and storage medium | |
| CN115601124A (en) | Post-loan judicial management system based on block chain | |
| Windsor | The intellectual ideas inside central banks: what's changed (or not) since the crisis? | |
| CN112734142A (en) | Resource learning path planning method and device based on deep learning | |
| Alcantara | Measuring the influence of industry sector membership on supply chain disruption reporting | |
| Buriev | Information-Analytical Activity and Its Role in Internal Affairs Bodies | |
| Liu et al. | To buy or not to buy: household risk hedging of housing costs | |
| CN115022052B (en) | Internal user abnormal behavior fusion detection method and system based on user binary analysis | |
| Quazi et al. | Foreign direct investment and investment climate in China and India: a comparative analysis | |
| Chalfin et al. | State policies and police personnel decisions | |
| Krane et al. | An empirical analysis of project risk in a time perspective |
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 |
Application publication date: 20190507 |
|
| RJ01 | Rejection of invention patent application after publication |