Random Number Sequence Research Articles

Simultaneous Random Number Generation and Optical Tweezers Calibration Employing a Learning Algorithm Based on the Brownian Dynamics of a Trapped Colloidal Particle

True random number generators are in high demand for secure cryptographic algorithms. Unlike algorithmically generated pseudo-random numbers they are unclonable and non-deterministic. A particle following Brownian dynamics as a result of the stochastic Ornstein-Uhlenbeck process is a source of true randomness because the collisions with the ambient molecules are probabilistic in nature. In this paper, we trap colloidal particles in water using optical tweezers and record its confined Brownian motion in real-time. Using a segment of the initial incoming data we train our learning algorithm to measure the values of the trap stiffness and diffusion coefficient and later use those parameters to extract the “white” noise term in the Langevin equation. The random noise is temporally delta correlated, with a flat spectrum. We use these properties in an inverse problem of trap-calibration to extract trap stiffnesses, compare it with standard equipartition of energy technique, and show it to scale linearly with the power of the trapping laser. Interestingly, we get the best random number sequence for the best calibration. We test the random number sequence, which we have obtained, using standard tests of randomness and observe the randomness to improve with increasing sampling frequencies. This method can be extended to the trap-calibration for colloidal particles confined in complex fluids, or active particles in simple or complex environments so as to provide a new and accurate analytical methodology for studying Brownian motion dynamics using the newly-emerged but robust machine learning platform.

Chaotic flower pollination algorithm based optimal PID controller design for a buck converter

This paper presents a solution based on optimal PID coefficients including anti-wind up for buck converter presents using meta-heuristic algorithm and chaos theory. A hybrid algorithm is called chaotic based flower pollination algorithm is provided by combining flower pollination algorithm and chaos theory with different maps. Five different choatic maps are used in the aim of increasing the efficacy and efficiency of flower pollination algorithm. In order to adjust the parameters combined in the flower pollination algorithm, random number sequences from Henon, Logistic, Sine, Tent and Tinkerbell chaotic maps are used. The success of the developed algorithm is evaluated by solving 23 different benchmark problems which are very common in the literature. The results of comparative experiments show that henon chaotic map based flower pollination algorithm is sufficiently effective in solving these benchmark problems. Thus desinging optimal PID with anti-windup for buck converter, henon chaotic map based flower pollination algorithm is used. Also henon chaotic map based flower pollination algorithm has better performance than firelfy algorithm and whale optimization algorithm existing in literature.

Role of Digital Root in Number Theory

In Vedic mathematics, digital root of a number is known as Beejank. Before the development of computer devices, the idea was used to check the results of mathematical operations. In this paper, we highlight the properties of digital root of a number and some results of digital roots. There are many interesting properties of digital root of a number. Perfect square number and a perfect cube number have specific digital roots. In modern mathematics, digital roots make partition of the set of natural numbers. Nowadays digital root of a number has many applications in generation of random sequence of numbers.

High-quality random number sequences extracted from chaos post-processed by phased-array semiconductor laser

<sec> With the rapid development of the computer technology and communication technology, as well as the popularization of the Internet, information security has received much attention of all fields. To ensure the information security, a large number of random numbers must be generated. It is well accepted that random numbers can be divided into physical random numbers and pseudo random numbers. The pseudo random numbers are mainly generated based on algorithms, which can be reproduced once the seed is decoded. The physical random numbers are extracted from physical entropies. While the bandwidth of the traditional physical entropy source is quite small, the bit rate of generated physical random numbers is limited. In the literature, a lot of methods have been proposed to produce high-quality and high-speed random number sequences with the chaotic entropy source, which exhibits wide bandwidth, large amplitude and random fluctuations. Usually, a semiconductor laser with optical feedback, i.e, an external-cavity semiconductor laser (ECSL), is chosen as a chaotic entropy source to generate a chaotic signal output. However, the chaotic signal output has a high time delay characteristic, which is not conducive to the production of high-quality random numbers. </sec><sec> In this paper, to produce high-quality chaos with time-delay signature (TDS) being well suppressed, we propose to employ an integration-oriented phased-array semiconductor laser to post-process the original chaos generated by an ECSL. It is shown that the proposed laser array is effective in TDS suppression, which improves the quality of optical chaos. After certain necessary post-processing, high-speed and high-quality random number sequences can be achieved. In this paper, we employ the conventional post-processing techniques, which include an 8-bit analog-to-digital converter (ADC) for sampling and quantization, and m-bits least significant bit (m-LSB) and exclusive OR (XOR) for removing bias. The simulation results show that the random number sequences obtained from the chaotic entropy source comprised of an ECSL and phased-array semiconductor lasers have uniform distribution characteristic and their scatter diagram contains no obvious pattern. Meanwhile, the obtained random number sequences can pass all tests of the standard randomness benchmark, NIST SP 800-22. Additionally, based on the extensibility of phased-array semiconductor lasers, random number generators that can generate parallel random numbers are achievable. </sec>

Efficacy of 2% lignocaine medicated pad for pain alleviation during rabies immunoglobulin administration: A randomized controlled trial

Rabies immunoglobulin (RIG) for animal bite victims is usually administered around the wound without the use of any anesthetic. Theoretically, the topical use of 2% lignocaine can reduce the pain during the procedure. This study aimed to determine the efficacy of 2% lignocaine medicated pad (LMP) for reducing pain during administration of RIG. A randomized triple-blind controlled trial was done in a tertiary care setting in Kerala, India. The proximal and distal wounds of the patient with minimum two, Category III animal bite wounds were randomized to intervention and placebo arms, based on a previously generated random number sequence. Sterile gauze pads soaked with 2% lignocaine and normal saline were the intervention and placebo, respectively. Pain was the primary outcome measure and was assessed using numeric rating scale (NRS) and sound, eye, and motor pain (SEM) scale. The patient, outcome assessor, and statistician were blinded. The wound sites and size of 100 intervention and 100 control wounds were comparable. The score of all elements of the SEM, total SEM, and NRS score were significantly lower in the wounds, which were given LMP compared to the control wounds. The number needed to treat for satisfactory pain relief and immediate pain relief was 25 and 14, respectively. No serious or minor adverse events were reported in the trial. The use of a proven drug in a topical route optimizes pain reduction from iatrogenic cause for millions of animal bite victims around the world with very little additional financial burden.

Dynamically Controlled Kernel Estimation

We introduce a data driven and model free approach for computing conditional expectations. The new method is based on classical techniques combined with machine learning methods. In particular, we consider kernel density estimation based on simulated risk factors combined with a control variate. This is used in a Gaussian process regression for finally approximating the conditional expectation. In this way we increase not only the stability of the estimator but we also need a significantly lower amount of simulations due to the variance reduction. Since we apply Gaussian process regression, we do not only get a point estimate, but also the full distribution. It turns out that the optimal coefficient for the control variate is the minimal variance delta. Thus, in this way we obtain model free and purely data driven hedges. Finally, we apply our method to several examples from option pricing including exotic option payoffs and payoffs with multiple underlyings for different models including the rough Bergomi model. A discussion on the challenges to extend the method to a large dimensional settings is provided and is partially solved by using Quasi random number sequences.

A Method to Determine the Most Suitable Initial Conditions of Chaotic Map in Statistical Randomness Applications

The processes and systems in the real world actually contain order and symmetry. Understanding these order and symmetrical behavior has been a common effort of scientists. Chaos theory has been an interesting topic to understand these order and symmetrical behavior. One of the most important reasons for this interest is the rich dynamics of chaotic systems. A remarkable application of these systems is statistical randomness. Especially in random number generator designs based on discrete time chaotic systems, an important design parameter affecting the success of the generator (statistical randomness properties) is the initial conditions of chaotic maps. Obtaining different initial conditions that will meet the statistical requirements is important in terms of generating different random number sequences. In order to determine the initial conditions, an algorithm that updates the initial conditions depending on the number of successful statistical tests is proposed. Although the proposed design approach is similar to a back propagation neural network, it has a unique design approach. The NIST SP 800-22 test suite has been used to analyze the statistical properties of the proposed generator. It is known that the NIST SP 800-22 test suite is a hypothesis test. Therefore, in order to show the success of the proposed method in the best way, various additional analysis studies have been carried out proving that the generator outputs have a uniform distribution. Using the proposed method, six different initial conditions have been determined that provide statistical random properties for the discrete-time chaotic systems known as logistic map and tent map. 1,000,000 bits have been generated using the obtained initial conditions. These bit values are then converted to decimal values between 0-15. It is observed that the obtained numbers have a uniform distribution. These outputs are thought to be applicable in many areas such as games, simulation, modeling, determination of optimization parameters and cryptology. It is shown in a practical application for cryptographic substitution-box designs to examine the success of the outputs.

Efficient and secure substitution box and random number generators over Mordell elliptic curves

Elliptic curve cryptography has received great attention in recent years due to its high resistance against modern cryptanalysis. The aim of this article is to present efficient generators to generate substitution boxes (S-boxes) and pseudo random numbers which are essential for many well-known cryptosystems. These generators are based on a special class of ordered Mordell elliptic curves. Rigorous analyses are performed to test the security strength of the proposed generators. For a given prime, the experimental results reveal that the proposed generators are capable of generating a large number of distinct, mutually uncorrelated, cryptographically strong S-boxes and sequences of random numbers in low time and space complexity. Furthermore, it is evident from the comparison that the proposed schemes can efficiently generate secure S-boxes and random numbers as compared to some of the well-known existing schemes over different mathematical structures.

Comparison of Different Bat Initialization Techniques for Global Optimization Problems

Bat algorithm (BA) is a population-based stochastic search technique that has been widely used to solve the diverse kind of optimization problems. Population initialization is the current ongoing research problem in evolutionary computing algorithms. Appropriate population initialization assists the algorithm to investigate the swarm search space effectively. BA faces premature convergence problem to find actual global optimization value. Low discrepancy sequences are slightly lesser random number than pseudo-random; however, they are more powerful for computational approaches. In this work, new population initialization approach Halton (BA-HA), Sobol (BA-SO), and Torus (BA-TO) are proposed, which helps bats to avoid from the premature convergence. The proposed approaches are examined on standard benchmark functions, and simulation results are compared with standard BA initialized with uniform distribution. The results depict that substantial enhancement can be attained in the performance of standard BA while varying the random numbers sequences to low discrepancy sequences.

Don't stop me now: Hampered retrieval of action plans following interruptions.

How can we retrieve action plans in working memory (WM) after being distracted or interrupted? The present EEG study investigated this question using a WM task in which a random sequence of single numbers (1-4 and 6-9) was presented. In a given trial, participants had to decide whether the number presented in the preceding trial was odd or even. Additionally, interfering stimuli were randomly presented in 25% of all trials, requiring the participants to either ignore a colored number (distraction) or respond to it (interruption) while maintaining the previously formed action plan in WM. Our results revealed a detrimental impact of interruptions on WM performance in trials after interrupting stimuli compared to trials without a preceding interference. This was reflected in decreased task accuracy and reduced stimulus- and response-locked P3b amplitudes potentially indicating a hampered reactivation of stimulus-response links. Moreover, decreased contralateral mu suppression prior to a given response highlighted an impaired response preparation following interruptions. Distractions, on the other hand, did not negatively affect task performance but were followed by faster responses in subsequent trials compared to trials without prior interference. This result pattern was supported by stronger contralateral mu suppression indicating a facilitated response preparation. Overall, these results suggest that action representations in WM are resistant to distractions but do suffer from interruptions that disrupt or interfere with their implementation. We thus propose that the possibility of adequately preparing for an upcoming response is essential for behavioral guidance in the presence of external interference.

True-Random Number Generator Based on Image Histogram

It is the non-repetitive distribution that makes the random numbers important in artificial intelligence techniques, cryptology, transferring a real environment to the virtual world and many more applications. Since the source of true random numbers consists of data from the physical world, the same number chain is never produced. In this study, images taken from the outside world were used as the source of randomness. The resulting image was first converted into an 8-bit gray image, and then the histogram of this gray image was revealed. As is known, an image histogram shows the color distribution in that image. In this study, the color distribution resulting from the histogram has been converted into a random distribution between 0 and 1. As a result, it was observed that the resulting distribution of numbers overlapped with histogram. Since the distribution of the numbers depends on the ratio of the pixels and the ratio of the pixels on the image obtained, the result is a real random number sequence.

Role of intraperitoneal instillation of bupivacaine after laparoscopic cholecystectomy for post-operative pain management: a randomized controlled trial

Background: Intra peritoneal (IP) local anaesthesia (LA) is a simple, cheap and safest method of providing post-operative (post-op) analgesia after laparoscopic cholecystectomy (LC). In this research, the role of intraperitoneal (IP) instillation of bupivacaine on post-op pain was studied. Post-op pain at 6, 12 and 24 hours was assessed using numeric rating scale. The degree of ambulation postoperatively at 6 and 24 hours and the requirement of analgesics was taken into account. The length of hospital stay was also a factor.Methods: A total of 76 patients during January 2018 to December 2018, undergoing LC, fitting the inclusion criteria were included randomly and divided in to two groups, bupivacaine group (B) and control group (A) based on a pre-generated random number sequence by the principal investigator. The surgical outcome was compared based on multiple parameters and the primary outcome measures were the post-op pain and analgesic requirement.Results: Degree of ambulation at 6 hours was significantly better in group B, compared to group A (p=0.008). The requirement of first dose of rescue analgesia was found to be within 6 hours (post-op) in 34 patients of group A (89.47%) as compared to 13 patients of group B (34.21%), was found to be statistically significant (p<0.001). There was statistically significant (p=0.002) difference with respect to length of hospital stay between the two groups.Conclusions: In our study we found that IP bupivacaine (0.5%) is an effective, economical, safe method of post-op pain management with better post-op recovery.

Framework for Automated Generation of Constructible Steel Erection Sequences Using Structural Information of Static Indeterminacy Variation in BIM

For effective pre-construction process, engineers create a 4D building information model (BIM). However, the rich information associated with the creation of the 4D BIM leads to manual effort. Past studies explored methods that automatically generate construction schedules using 3D building models. However, no method properly utilized relationships between building elements to robustly generate 4D BIMs that are structural stable during installation. This research presents an approach to the automated generation of structurally stable construction sequences using a 3D BIM. Focusing on steel erection, we create a framework integrating a 3D BIM and algorithms to create a 4D BIM with detailed steel erection sequences of individual elements. This research explores an approach to a variation of static indeterminacy for each installation process of steel elements. The principle of this approach is based on the relationships among the nodes and the connections among steel elements, information about which is available to those involved in the project. For validation, we test a prototype software program using a BIM for a real-world construction project. The results indicate that the prototype utilizing the static indeterminacy variation could generate a large number of random sequences and successfully transforms them into stable sequences. This study establishes the foundational step of generating constructible sequences using structural information in BIM which is found to be more robust than previous approaches, and results of this study can lead to follow up studies for full automation such as automated analysis and optimization of the sequences.

Better and early recovery in ACL reconstructed elite players with addition of core stability exercises in postoperative rehabilitation program

Role of core stability exercises in ACL rehabilitation program is not well studied. To study the effect of addition of core stability exercise on outcome of ACL reconstruction surgery. Ninety-two male sportspersons (18–40 years) who underwent ACL reconstruction were enrolled in the study. Sportspersons were divided into two groups depending upon the computer-generated random number sequence—group A (conventional rehabilitation; n = 46) and group B (core stabilization + conventional rehabilitation; n = 46). All sportspersons were assessed at 6, 9 and 12 months for the functional outcome (IKDC score, single hop test, triple hop test, and VAS score), return to sports, and knee laxity (KT-1000). IKDC scores were higher in group B as compared to group A at all follow-ups (p < 0.05). Similarly, single and triple hop test jump distances were wider in group B as compared to group A at all the follow-ups (p < 0.05). Incidence of return to sports was significantly higher in group B (35/45) as compared to group A (24/43; p = 0.02). Mean time to return to sports was 10.77 ± 1.7 months in group A and 9.44 ± 1.8 in group B (p = 0.006). There was no difference in knee laxity between the two groups. The addition of core stability exercises in the ACL rehabilitation program results in better functional outcome and early return to sports. However, core stability exercises have no effect on knee stability. Level III, prospective observational study.

FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures

This paper presents a novel leaderless protocol (FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures) with a low communicational complexity and which allows a set of nodes to come to a consensus on a value of a single bit. The paper makes the assumption that part of the nodes are Byzantine, and are thus controlled by an adversary who intends to either delay the consensus, or break it (this defines that at least a couple of honest nodes come to different conclusions). We prove that, nevertheless, the protocol works with high probability when its parameters are suitably chosen. Along this the paper also provides explicit estimates on the probability that the protocol finalizes in the consensus state in a given time. This protocol could be applied to reaching consensus in decentralized cryptocurrency systems. A special feature of it is that it makes use of a sequence of random numbers which are either provided by a trusted source or generated by the nodes themselves using some decentralized random number generating protocol. This increases the overall trustworthiness of the infrastructure. A core contribution of the paper is that it uses a very weak consensus to obtain a strong consensus on the value of a bit, and which can relate to the validity of a transaction.

Random-injection-based two-channel chaos with enhanced bandwidth and suppressed time-delay signature by mutually coupled lasers: Proposal and numerical analysis* *Project supported by the Sichuan Science and Technology Program, China (Grant No. 2019YJ0530), the Scientific Research Fund of Sichuan Provincial Education Department, China (Grant No. 18ZA0401), the Innovative Training Program for College Student of Sichuan Normal University, China (Grant No. S20191063609), and

Simultaneous bandwidth (BW) enhancement and time-delay signature (TDS) suppression of chaotic lasing over a wide range of parameters by mutually coupled semiconductor lasers (MCSLs) with random optical injection are proposed and numerically investigated. The influences of system parameters on TDS suppression (characterized by autocorrelation function (ACF) and permutation entropy (PE) around characteristic time) and chaos BW are investigated. The results show that, with the increasing bias current, the ranges of parameters (detuning and injection strength) for the larger BW (> 20 GHz) are broadened considerably, while the parameter range for optimized TDS (< 0.1) is not shrunk obviously. Under optimized parameters, the system can simultaneously achieve two chaos outputs with enhanced BW (> 20 GHz) and perfect TDS suppression. In addition, the system can generate two-channel high-speed truly physical random number sequences at 200 Gbits/s for each channel.

The Influence of Organizational Culture on Resilience by Mediatory Effects of Occupational Stress, Job Satisfaction, and Burnout in Nurses: Structural Equation ModelingModeling

Background: Organizational culture is the most essential tool of an organization to increase the resilience of personnel in a healthcare system. Promoting organizational culture is an effective factor in increasing job satisfaction and reducing psychological burden, and burnout in nurses. Objectives: This study aimed to investigate the influence of organizational culture on resilience by mediatory effects of occupational stress, job satisfaction, and burnout in nurses using structural equation modeling. Methods: This cross-sectional study was conducted among 712 nurses working in seven hospitals in Tehran during the 2018 - 2019. The participants were selected by thee stratified random sampling method with proportional allocation. In detail, after determining the number of samples of each hospital, sampling was performed using a random number sequence. The data gathering was performed by using questionnaires. Data were analyzed by the SPSS, version 23.0, and LISREL, version 8.8. Results: We found a significant positive correlation between organizational culture and job satisfaction (r = 0.29) and resilience (r = 0.21) (P &lt; 0.05). There was a significant negative correlation between organizational culture and occupational stress (r = -0.22), and burnout (r= -0.14) (P &lt; 0.05). The goodness of fit index (GFI) for organizational culture, occupational stress, job satisfaction, burnout, and resilience was 0.97, 0.97, 0.98, 0.96, and 0.95, respectively. RMSEA index for organizational culture, job satisfaction, burnout, and resilience was 0.069, 0.093, 0.057, and 0.050, respectively, which showed that the model is appropriately fit. Conclusions: The findings of the present study indicated that promoting organizational culture and reducing occupational stress and burnout can improve job satisfaction and mental health in nurses.

Pathogen-specific risk of seizure in children with moderate-to-severe diarrhoea: Case control study with follow-up.

To determine the pathogen-specific risk of seizure in under-five children hospitalised with moderate-to-severe diarrhoea (MSD) in rural settings. This was a prospective case-control study with follow-up, conducted in a sentinel facility of Global Enteric Multicenter Study in Mirzapur, a rural community of Bangladesh between 2007 and 2010. Children aged 0-59months who presented with MSD and seizure constituted the cases whereas those who did not have seizure comprised the controls. MSD was defined if the episodes were associated with dehydration or dysentery or required hospitalisation with diarrhoea or dysentery. All enrolled children were followed up at home within 50-90days of enrolment. A total of 64 cases and 128 randomly selected controls formed the analysable dataset. The result of logistic regression analysis after adjusting for potential confounders revealed that shigellosis (Shigella species, OR=5.34, 95% CI=2.37-12.04) particularly S. flexneri (OR=3.34, 95% CI=1.48-7.57), S. flexneri 6 (OR=23.24, 95% CI=2.79-193.85), S. sonnei (OR=6.90, 95% CI=2.34-19.85); norovirus (OR=6.77, 95% CI=1.69-27.11), fever (OR=16.75, 95% CI=1.81-154.70) and loss of consciousness (OR=35.25, 95% CI=1.71-726.20) were the independent risk factors for seizure in MSD children. At enrolment, cases had lower WHZ (P=0.006) compared to their peers, follow-up anthropometrics showed significant improvement in WHZ (P<0.001) and WAZ (P<0.05), whereas deterioration in HAZ (P<0.001) in both cases and controls. Childhood MSD episodes particularly due to Shigella and norovirus are often associated with seizure. Prompt identification and appropriate management of children with shigellosis may reduce occurrence and adverse consequences of seizure linked with MSD.

A short term study for core stabilization as post operative protocol in post operated anterior cruciate ligament and its outcome

&lt;p class="abstract"&gt;&lt;strong&gt;Background:&lt;/strong&gt; The aim of the study was to assess the role of core stability exercises post op protocol for anterior cruciate ligament (ACL) reconstructed cases.&lt;/p&gt;&lt;p class="abstract"&gt;&lt;strong&gt;Methods:&lt;/strong&gt; Out of 100 only selected were&lt;strong&gt; &lt;/strong&gt;ninety-two male athletes who got ACL reconstruction with anatomical positioning of tunnels and adequate graft were enrolled in the study that was conducted between 2017 January to 2019 February. The enrolled were divided into two groups based on random number sequence i.e. group A (conventional rehabilitation; n=46) and group B (core stabilization and conventional rehabilitation; n=46). Assessment was done at 6 months, 9 months and 12 months for assessing the functional outcome by International Knee Documentation Committee (IKDC) score, triple hop test, single leg hop test and knee laxity (KT-1000) test.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p class="abstract"&gt;&lt;strong&gt;Results:&lt;/strong&gt; At the end of study it was observed that scores of IKDC was higher in group B as compared to group A (p&amp;lt;0.005). Similarly, single and triple hop test jump distances were more in group B as compared to group A (p&amp;lt;0.05). In group A, 24 out of 43 sports persons returned to sports as compared to group B, where 35 out of 45 patients returned to sports (p value=0.02). There was no difference in KT-1000 score between two groups.&lt;/p&gt;&lt;p class="abstract"&gt;&lt;strong&gt;Conclusions:&lt;/strong&gt; Addition of core stability exercises in the ACL rehabilitation program improves the functional outcome and incidence of return to sports. However, core stability exercises have no effect on knee stability.&lt;/p&gt;&lt;p class="abstract"&gt; &lt;/p&gt;

Treatment of Childhood Obesity Based on Brazilian Dietary Guidelines Plus Energy Restriction (PAPPAS HUPE Study): Protocol for a Randomized Clinical Trial.

BackgroundThe Food Guide for the Brazilian Population relies on natural or minimally processed foods mainly of plant origin such as beans and rice with low oil, salt, and sugar content and limited consumption of ultraprocessed foods. Reduction of ultraprocessed foods improves diet quality and energy consumption.ObjectiveThe goal of this study is to evaluate the effectiveness of an intervention for the treatment of obesity in children, with counseling based on the Brazilian Food Guide plus control of total energy intake.MethodsA parallel, randomized clinical trial will include children aged 7 to 12 years. Randomization will be performed in blocks of 10 individuals using computer-generated random sequence numbers. Both the control and intervention groups will participate in 6 standardized educational activities based on the 10 steps of the Brazilian Food Guide. These activities will be conducted at the University Hospital Toy Library, located in the pediatric outpatient clinic. For the intervention group, in addition to the educational activities, an individualized food plan based on the nutritional recommendations of the Brazilian Society of Pediatrics will be prescribed and discussed with the mothers and fathers. The primary outcome of the study will be variations in body mass index, and secondary outcomes will include analysis of insulin resistance, blood pressure, body fat percentage, and waist and neck circumference.ResultsThis project was funded by the National Council for Scientific and Technological Development in December 2017 (grant no 408333/2017-0). Recruitment began in August 2018 and by September 2019, we had enrolled the 101 participants. In addition to the patients referred by the national system of regulation, recruitment was made by medical outpatient referral and external indication. This is an ongoing study. We expect the results to be published in November 2020.ConclusionsAt the end of the project, in case of a positive result, a protocol for the treatment of obesity based on the Brazilian Food Guide will be proposed to the Unified Health System. A successful method to reduce childhood obesity is expected.Trial RegistrationBrazilian Registry of Clinical Trials RBR-3st5sn; http://www.ensaiosclinicos.gov.br/rg/RBR-3st5snInternational Registered Report Identifier (IRRID)DERR1-10.2196/16170