CN112712873A - Intelligent light diet scheme recommendation method and device - Google Patents
Intelligent light diet scheme recommendation method and device Download PDFInfo
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- CN112712873A CN112712873A CN202011611883.1A CN202011611883A CN112712873A CN 112712873 A CN112712873 A CN 112712873A CN 202011611883 A CN202011611883 A CN 202011611883A CN 112712873 A CN112712873 A CN 112712873A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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Abstract
The invention discloses an intelligent light diet scheme recommendation method and device, which can ensure that a recommended recipe is scientific and healthy, can intuitively acquire cost price information of finished products made from the recipe on the premise of personalized customization according to user requirements, and also can recommend proper exercise to a user. The invention also discloses a hardware server of the device for the intelligent light diet proposal recommendation method, which can realize timely cleaning of dust, avoid inconvenience caused by manual cleaning, ensure stable operation of the device for intelligently recommending light diet, avoid negative effects such as system outage and the like caused by frequent halt, further save labor cleaning cost and ensure that the operation of the intelligent light diet proposal recommendation method is more stable and effective.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an intelligent light diet scheme recommendation method and device.
Background
With the rapid development of science and technology, the living standard of people is continuously improved, and the requirements of people on diet are gradually increased. In order to realize balanced nutrition and slimming on diet, a user usually uses a mobile terminal to send a subscription instruction to a recipe website and actively does exercises which are considered as slimming by the user, after the recipe website receives the subscription instruction sent by the mobile terminal, the recipe website helps the user to make a personalized healthy diet recipe with scientific nutrition according to personal information and requirements of the user, the recipe can be made according to personal health conditions, the personalized customization can be made according to different requirements of the user and personal diet preferences, and the user can make dishes according to the recipe recommended by the recipe website, so that different healthy diet requirements of the user are realized. However, because China is wide in territory, large in population and different in consumption level, the recipe is recommended only according to some personal information and requirements of users, and only nutrition information and methods of food materials contained in the recipe are provided, but the cost price of the food materials contained in the recipe is not considered, so that the users do not have direct price reference when making dishes according to the recommended recipe, and the user experience is directly influenced.
Therefore, how to visually acquire the cost price information of the recipe finished product on the premise of ensuring that the recommended recipe is not only scientific and healthy, but also can be customized according to the user requirements is a technical problem to be solved at present. In addition, although mobile communication software systems such as mobile phone APPs in the prior art can ensure that users can acquire required knowledge and information quickly, data interaction between a mobile terminal and a server is often required, and in the data interaction process, either hardware equipment or a software system fails, which can cause the communication system to work abnormally, and the most common problem in mobile communication application is that the server is easy to cause unstable operation of the whole system due to accumulation of dust or dirt.
Disclosure of Invention
The invention aims to provide an intelligent light diet scheme recommendation method and device to solve the problems in the background technology.
In order to solve the above problems, a first aspect of the present invention provides an intelligent light diet plan recommendation method, including the steps of:
step S1, acquiring personal information, physical condition, diet demand and coefficient indexes of body of the user through the mobile client; and transmitting the information to a server;
step S2, analyzing the physical characteristics of the corresponding person through a server, and calculating the heat and required nutrient elements contained in the food in the recipe recommended to the user at this time;
step S3, eliminating the movement that the user can not eat and do according to the disease and the health of the user, and obtaining the correct diet and movement based on the algorithm contrast analysis;
step S4, calculating the price of the finished product according to the local food material information and showing the price to the user;
and step S5, displaying the generated recipe and the corresponding price and the recommended movement to the user at the mobile terminal, and the user can achieve the purpose of light weight according to the movement.
As a preferred technical scheme, each coefficient index of the human body is obtained by estimating the body fat content, the weight, the muscle and bone rate, the body fat, the moisture and the protein of each part of the human body through a body fat scale according to the resistivity of different parts of the human body and an algorithm model arranged in a BIA chip of the body fat scale, and transmitting the information to a server;
as a preferable technical solution, in step S1, the dietary requirement includes at least one of a requirement for weight loss, a requirement for health preservation, a requirement for anti-hyperglycemia, a requirement for anti-hyperlipidemia, a requirement for anti-hypertension, a requirement for calcium supplement, a requirement for beauty, a requirement for cancer prevention, a requirement for purine control, and a requirement for muscle enhancement. Different users have different dietary demands, and corresponding recipes are recommended reasonably according to the requirements of different users, so that the service is more intelligent, the user selection is more independent, and not only can the disease be prevented, but also the health and beauty can be realized, and the body can be strengthened.
As a preferred technical scheme, the intelligent light diet scheme comprises a primary scheme, a middle-level scheme and a high-level scheme, and a user can select the scheme according to the difficulty and the cost price of the scheme. In order to meet the requirements of more different people, the intelligent light diet recommending scheme also classifies foods, and can select foods according to different making difficulty degrees and prices, so that more detailed experience is provided for users.
The intelligent light diet scheme recommendation method can be realized through the APP, so that the user can do health diet and exercise on the APP according to recommendation, and the purpose of light weight is achieved.
The second aspect of the present invention provides an apparatus for an intelligent light diet scheme recommendation method, which is characterized in that: the system comprises a user information acquisition module, a data calculation module, a recipe optimization module, a recipe generation module and a display module.
As a preferred technical solution, the user information obtaining module obtains personal information, physical condition, dietary requirement and coefficient indexes of the body of the user through the mobile client, and transmits the information to the server.
As a preferred technical solution, the user information obtaining module obtains personal information, physical conditions, and dietary requirements of the user through the mobile client, and the body fat scale substantially estimates the body fat content, body weight, muscle, bone rate, body fat, water, and protein of each part of the human body according to the resistivity of different parts of the human body and an algorithm model built in a BIA chip of the body fat scale, and transmits the information to the server.
As a preferred technical solution, in the user information obtaining module, the subject of the dietary requirement includes at least one of weight reduction, health preservation, hyperglycemia resistance, hyperlipidemia resistance, hypertension resistance, calcium supplement, beauty treatment, cancer prevention and muscle increase; the food will is the kind of food the user wants to eat and the kind of beverage the user wants to drink, including at least one of dish, staple food, soup, fruit, cake, beverage, snacks. Different users have different dietary demands, and corresponding recipes are recommended reasonably according to the requirements of different users, so that the service is more intelligent, the user selection is more independent, and not only can the disease be prevented, but also the health and beauty can be realized, and the body can be strengthened.
As a preferable technical scheme, the data calculation module calculates the caloric value contained in the food and the numerical value of various required nutrients in the health recipe of the recommended user through the server according to the personal information, the physical condition and the diet demand of the user. As a more preferable technical solution, the data calculation module may also exclude the motion that the user cannot eat or do according to the physical features of the user.
As a preferable technical scheme, the recipe optimizing module is used for optimizing the recipe according to the calorific value contained in the food in the healthy recipe and the numerical value of various required nutrient substances; and analyzing the numerical values of various nutrient substances required in the healthy recipe again according to the nutrition conditions of various food materials in the user diet will, and giving the recommended food material types in a targeted manner.
As a preferred technical scheme, the recipe generation module generates a corresponding health recipe which simultaneously meets the individual health and nutrition requirements of the user and the individual diet preference thereof through the calculation of the server according to the recommended food material types and the local food material price information of the user, generates the price of the finished product made of the corresponding recipe, and simultaneously recommends the proper exercise for the user. As a preferred technical scheme, a user has high blood pressure and high cholesterol, so that a reasonable diet recipe can be recommended to the user according to the nutritional value and the cholesterol content of food materials according to the requirements of the user, eggs with high cholesterol, animal viscera and the like are prevented, and a lot of low-cholesterol fishes are eaten. Therefore, the health of the user is ensured, and the intake of nutrition is also considered, so that the aim of light weight is fulfilled.
As a preferred technical scheme, the display module displays the generated health recipe and the price of the finished product made from the corresponding recipe and the recommended movement on the mobile terminal of the user. The user can achieve the purpose of light weight according to the recommended healthy diet and the recommended sports.
The invention provides a hardware server of an intelligent light diet proposal recommending device, which comprises a shell, a PCB circuit board and a dust cleaning system; the dust cleaning system comprises a first dust deposition detection device, a second dust deposition detection device, an air exhaust port and a dust purging device.
As a preferable aspect, the first dust deposition detecting device includes a first capacitance measuring device for measuring a capacitance value of the component heat sink and a comparator. The component cooling fin is composed of a plurality of cooling fin monomers, the cooling fin monomers are electrically insulated, the first capacitance measurer detects capacitance between the cooling fin monomers, when the comparator judges that the measured capacitance value is smaller than a value capacitance, the cleaning air inlet device is started, filtered air is blown out through the self-adaptive air outlet on the cleaning pipeline, and the circuit component is cleaned.
As a preferred technical solution, the second dust deposition detection device comprises a light beam generator and at least one reflecting mirror surface arranged on the PCB; the light beam generator is arranged on the side wall inside the server shell and emits a linear light beam to the reflecting mirror surface at a fixed angle, the light beam is projected to the photosensitive switch on the side wall inside the server shell after being reflected by the reflecting mirror surface, and the photosensitive switch keeps an open state after receiving the light beam; when the deposition on the reflector surface reaches predetermined thickness, photosensitive switch does not respond to reflection light, then photosensitive switch is closed, and automatic start cleans air inlet unit: when any one of the first dust deposition detection device and the second dust deposition detection device starts the air inlet cleaning device, the air inlet cleaning device is started, and after a preset time, the air inlet cleaning device is automatically closed.
As a preferable technical scheme, the dust purging device comprises a cleaning air inlet device, a filtering device is arranged at an air inlet of the cleaning air inlet device, the cleaning air inlet device is communicated with a cleaning pipeline arranged on one side of a circuit element mounting surface of the PCB, the cleaning pipeline is positioned above the circuit element, and a self-adaptive air outlet is arranged at a position corresponding to the heating element. And a plurality of fan-shaped bimetallic strips are arranged at each self-adaptive air outlet, when the deformation temperature is lower than the deformation temperature, the fan-shaped bimetallic strips are adjacent to each other to form a disc shape, so that the self-adaptive air outlet is sealed, when the deformation temperature is higher than the deformation temperature, the bimetallic strips bend towards the outer side direction of the self-adaptive air outlet to open the self-adaptive air outlet, and when the temperature of the bimetallic strips is higher, the opening amplitude of the self-adaptive air outlet is larger.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent healthy diet recommending method, healthy diet recipes are recommended for the user, so that the diet life of the user is healthier and more convenient, the user can obtain the cost price of food materials contained in the corresponding recipes, and the user experience is further improved.
2. The scheme and the device for intelligently recommending the light diet recommend the proper exercise to the user while providing the personalized health diet for the user, so that the user is not worried about the light diet, the service is more intelligent, the user can select more autonomously, the disease can be prevented, the beauty can be realized in a healthy way, and the body can be strengthened.
3. The hardware server of the device for recommending the intelligent light diet scheme can realize timely cleaning of dust, inconvenience caused by manual cleaning is avoided, stable operation of the device for recommending the intelligent light diet is ensured, negative effects such as system outage and the like caused by frequent halt are avoided, manual cleaning cost is further saved, and meanwhile, the improved server is used in the method for recommending the intelligent healthy diet, so that the method is more stable and effective in operation.
Drawings
Fig. 1 is a schematic diagram of an intelligent light diet scheme recommendation method according to the invention.
Fig. 2 is a schematic diagram of an apparatus of an intelligent light diet regime recommendation method according to the present invention.
Fig. 3 is a diagram of the output result of the device of the intelligent light diet scheme recommending method of the invention.
FIG. 4 is a diagram of a hardware server gray level cleaning system according to the present invention.
In the figure: 1. the cleaning device comprises a shell, 2, a PCB (printed circuit board), 3, a cleaning air inlet device, 4, a filtering device, 5, a cleaning pipeline, 6, a self-adaptive air outlet, 7, a baffle, 8, a radiating fin monomer, 9, a circuit element, 10, a reflecting mirror surface, 11, an air outlet, 12 and a photosensitive switch.
Detailed Description
The technical solutions of the present invention are described in detail below with reference to the accompanying drawings and specific embodiments, but the scope of the present invention is not limited to the embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. To the extent that a definition of a particular term disclosed in the prior art is inconsistent with any definition provided in the present disclosure, the definition of the term provided in the present disclosure controls.
As used herein, a feature that does not define a singular or plural form is also intended to include a plural form of the feature unless the context clearly indicates otherwise. It will be further understood that the term "prepared from …," as used herein, is synonymous with "comprising," including, "comprising," "having," "including," and/or "containing," when used in this specification means that the recited composition, step, method, article, or device is present, but does not preclude the presence or addition of one or more other compositions, steps, methods, articles, or devices. Furthermore, the use of "preferred," "preferably," "more preferred," etc., when describing embodiments of the present invention, is meant to refer to embodiments of the invention that may provide certain benefits, under certain circumstances. However, other embodiments may be preferred, under the same or other circumstances. In addition, the recitation of one or more preferred embodiments does not imply that other embodiments are not useful, nor is it intended to exclude other embodiments from the scope of the invention.
Example 1：
As shown in fig. 1, embodiment 1 provides an intelligent lightweight diet regime recommendation method, comprising the steps of:
step S1, acquiring personal information, physical condition, diet demand and coefficient indexes of body of the user through the mobile client; the body coefficient indexes are used for estimating the body fat content, the weight, the muscle and bone rate, the body fat, the water content and the protein of each part of the human body through a body fat scale according to the resistivity of different parts of the human body and an algorithm model arranged in a BIA chip of the body fat scale, and transmitting the information to a server;
step S2, analyzing the physical characteristics of the corresponding person through a server, and calculating the heat and required nutrient elements contained in the food in the recipe recommended to the user at this time;
step S3, eliminating the movement that the user can not eat and do according to the disease and the health of the user, and obtaining the correct diet and movement based on the algorithm contrast analysis;
step S4, calculating the price of the finished product according to the local food material information and showing the price to the user;
and step S5, displaying the generated recipe and the corresponding price and the recommended movement to the user at the mobile terminal.
The intelligent light diet scheme recommendation method can be realized through the APP, so that the user can do health diet and exercise on the APP according to recommendation, and the purpose of light weight is achieved.
Example 2：
As shown in fig. 2 and fig. 3, embodiment 2 provides an apparatus for an intelligent lightweight diet plan recommendation method, which includes a user information obtaining module, a data calculating module, a recipe optimizing module, a recipe generating module, and a display module.
The user information acquisition module acquires personal information, physical conditions, dietary requirements and various coefficient indexes of the body of a user through the mobile client and transmits the information to the server. Wherein the personal information comprises the age, height, weight and occupation of the user; the physical condition comprises various indexes of the body of the user and medical history information; the dietary requirements comprise at least one of weight loss requirements, health maintenance requirements, anti-hyperglycemia requirements, anti-hyperlipidemia requirements, anti-hypertension requirements, calcium supplement requirements, beauty requirements, cancer prevention requirements and muscle building requirements; the indexes of various body coefficients include weight, muscle, bone rate, body fat and water.
And the data calculation module calculates the calorific value contained in the food and the numerical value of various required nutrients in the health recipe of the recommended user through the server according to the personal information, the physical condition, the diet demand and various coefficient indexes of the body of the user.
The recipe optimizing module is used for optimizing the recipe according to the calorific value contained in the food in the healthy recipe and the numerical values of various required nutrient substances; and analyzing the numerical values of various nutrient substances required in the healthy recipe again according to the nutrition conditions of various food materials in the user diet will, and giving the recommended food material types in a targeted manner.
The recipe generation module generates a corresponding health recipe which simultaneously meets the individual health nutrition requirements and the individual diet preference of the user through the calculation of the server according to the food material types of the recommended collocation and the local food material price information of the user, generates the price of a finished product made of the corresponding recipe, and simultaneously recommends the proper exercise for the user.
The display module displays the generated health recipe and the price of the finished product made by the corresponding recipe and the recommended exercise on the mobile terminal of the user, as shown in fig. 3.
Example 3：
As shown in fig. 4, embodiment 3 provides a hardware server of an apparatus for an intelligent lightweight diet plan recommendation method, which includes a housing 1 and a PCB 2, and further includes a dust cleaning system, where the dust cleaning system includes a first soot deposition detection device, a second soot deposition detection device, and a dust purging device.
The dust blowing device comprises a cleaning air inlet device 3, the cleaning air inlet device 3 can be an air inlet fan or an air inlet compressor, a filter device 4 is arranged at an air inlet of the cleaning air inlet device 3, the cleaning air inlet device 3 is communicated with a cleaning pipeline 5 arranged on one side of a mounting surface of a circuit element 9 of the PCB 2, a plurality of self-adaptive air outlet ports 6 are further arranged above the circuit elements 9 on the cleaning pipeline 5, a plurality of bimetallic strips 7 are arranged at each self-adaptive air outlet 6, the bimetallic strips 7 at each self-adaptive air outlet 6 seal the self-adaptive air outlet 6 when the bimetallic strips 7 are in a cold state, the bimetallic strips 7 are bent towards the outer side of the self-adaptive air outlet 6 when in a hot state, the self-adaptive air outlet 6 is opened, and the opening amplitude of the self-adaptive air outlet 6 is larger when the temperature of the bimetallic strips 7 is higher.
The first dust accumulation detection device comprises a first capacitance measuring device for measuring a component cooling fin, the component cooling fin is composed of a plurality of cooling fin single bodies 8, the cooling fin single bodies 8 are electrically insulated, the first capacitance measuring device is connected with a comparator and feeds back an actually measured capacitance value to the comparator, the comparator is also connected with a memory, a reference capacitance value is stored in the memory, the reference capacitance value is a capacitance value between the cooling fin single bodies 8 when dust is not accumulated on the component cooling fin, when the actually measured capacitance value exceeds a threshold value set based on the reference capacitance value, the cleaning air inlet device 3 is started, filtered air is blown out through a self-adaptive air outlet port 6 on the cleaning pipeline 5 to clean the circuit component 9, and dirty air is discharged out of the server shell 1 through an air outlet port 11.
Second deposition detection device light beam generator and at least one setting are at the reflector surface 10 of circuit component position between four on PCB board 2, and light beam generator sets up inside server housing 1, and light beam generator launches reflector surface 10 with fixed angle with sharp light beam, through reflector surface 10 reflection back, and on the light beam was projected and is provided with the inside photosensitive switch 12 of server housing 1, when photosensitive switch 12 response can not arrive reflection ray, automatic start cleaned air inlet unit. The self-adaptive air outlet 6 is sealed when the bimetallic strip 7 is in a cold state, the bimetallic strip 7 bends towards the outer side of the self-adaptive air outlet 6 when in a hot state, the self-adaptive air outlet 6 is opened, and the opening amplitude of the self-adaptive air outlet 6 is larger when the temperature of the bimetallic strip 7 is higher; therefore, the area of each adaptive air outlet 6 can be made different depending on the temperature of the device below adaptive air outlet 6. Since the higher the temperature of the element, the larger the heat dissipation area is designed, or the more the surface of the heat dissipation part is designed to facilitate the heat exchange, but the more the heat exchange is facilitated, the more the air flow changes drastically or the air passes through the finer gaps, the more the dust accumulation after the same time, the more the air flow is used for cleaning at the time of cleaning. When the heat dissipation fins accumulate more dust, gaps among the heat dissipation fins can be reduced, and the heat dissipation fins as a whole can be reduced in capacitance, so that when the capacitance is reduced to a certain value, the dust accumulation can be performed to a certain extent, and the dust layer needs to be cleaned. When the dust accumulation of the PCB board 2 and the circuit element 9 is more, the dust accumulation on the reflector 10 is also more, and when the dust accumulation is more, the dust can generate an obvious diffuse reflection effect, which greatly weakens the mirror reflection effect of the reflector 10, and can cause the photosensitive switch 12 not to receive the light intensity with enough intensity to be triggered.
According to the embodiment, through the improvement, dust of the server can be cleaned in time, inconvenience caused by manual cleaning is avoided, stable operation of the intelligent healthy diet recommending method is ensured, negative effects such as system outage caused by frequent halt are avoided, manual cleaning cost is further saved, and meanwhile, the improved server is used in the intelligent healthy diet recommending method, so that the method is more stable and effective in operation.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
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| CN202011611883.1A CN112712873A (en) | 2020-12-30 | 2020-12-30 | Intelligent light diet scheme recommendation method and device |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080162186A1 (en) * | 2006-12-28 | 2008-07-03 | Michael Jones | System and method for diet and exercise |
| CN106096237A (en) * | 2016-05-31 | 2016-11-09 | 点击率（北京）科技有限公司 | A kind of method and device of intelligent recommendation health diet |
| CN106503432A (en) * | 2016-10-18 | 2017-03-15 | 珠海格力电器股份有限公司 | Health management method and device and electronic equipment |
| CN107705834A (en) * | 2017-10-10 | 2018-02-16 | 中山大学 | A kind of dietary recommendations continued system based on Recognition with Recurrent Neural Network |
| CN108899073A (en) * | 2018-06-29 | 2018-11-27 | 重庆邮电大学 | A kind of intelligent health diet recommender system of combination mobile terminal |
-
2020
- 2020-12-30 CN CN202011611883.1A patent/CN112712873A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080162186A1 (en) * | 2006-12-28 | 2008-07-03 | Michael Jones | System and method for diet and exercise |
| CN106096237A (en) * | 2016-05-31 | 2016-11-09 | 点击率（北京）科技有限公司 | A kind of method and device of intelligent recommendation health diet |
| CN106503432A (en) * | 2016-10-18 | 2017-03-15 | 珠海格力电器股份有限公司 | Health management method and device and electronic equipment |
| CN107705834A (en) * | 2017-10-10 | 2018-02-16 | 中山大学 | A kind of dietary recommendations continued system based on Recognition with Recurrent Neural Network |
| CN108899073A (en) * | 2018-06-29 | 2018-11-27 | 重庆邮电大学 | A kind of intelligent health diet recommender system of combination mobile terminal |
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