hUCMSC-derived extracellular vesicles relieve cisplatin-induced granulosa cell apoptosis in mice by transferring anti-apoptotic miRNAs.

Premature ovarian insufficiency (POI) caused by chemotherapy is a common complication in female cancer survivors of childbearing age. Traditional methods including mesenchymal stem cell (MSC) transplant and hormone replacement therapy have limited clinical application due to their drawbacks, and more methods need to be developed. In the current study, the potential effects and underlying mechanisms of human umbilical cord MSC-derived extracellular vesicles (hUCMSC-EVs) were investigated in a cisplatin (CDDP)-induced POI mouse model and a human granulosa cell (GC) line. The results showed that hUCMSC-EVs significantly attenuated body weight loss, ovarian weight loss, ovary atrophy, and follicle loss in moderate-dose (1.5 mg/kg) CDDP-induced POI mice, similar to the effects observed with hUCMSCs. We further discovered that the hUCMSC-EVs might inhibit CDDP-induced ovarian GC apoptosis by upregulating anti-apoptotic miRNA levels in GCs, thereby downregulating the mRNA levels of multiple pro-apoptotic genes. In general, our findings indicate that moderate-dose chemotherapy may be a better choice for clinical oncotherapy considering the effective rescue of oncotherapy-induced ovarian damage with hUCMSC-EVs. Additionally, multiple miRNAs in hUCMSC-EVs may potentially be used to inhibit chemotherapy-induced ovarian GC apoptosis, thereby restoring ovarian function and improving the life quality of female cancer patients.

Tribally-led mobile outreach: improving access to harm reduction services in one rural reservation community.

American Indian and Alaska Native populations in the United States face significant disparities related to opioid use disorder and opioid-related mortality. Inequitable access to medications and harm reduction strategies due to structural, societal, and geographical factors prevent Tribal communities from obtaining needed services, and further contribute to the opioid epidemic. One Tribal Healing Center in the Rocky Mountain region identified mobile outreach to build upon existing opioid prevention, treatment, and harm reduction efforts. The Healing Center purchased a mobile outreach vehicle and worked with a combination of clinical staff, peer recovery support specialists, and Tribal elders to reach identified high-risk areas on the reservation. As of December 2023, the mobile outreach vehicle has disseminated 150 Narcan kits, 150 Fentanyl testing strips, 20 self-care kits, and 500 brochures detailing Healing Center services. Preliminary results from this formative evaluation demonstrate the success of MOV efforts and the process required to purchase and launch an MOV campaign.

Analytical Model of the Connection Handoff in 5G Mobile Networks with Call Admission Control Mechanisms.

Handoff mechanisms are very important in fifth-generation (5G) mobile networks because of the cellular architecture employed to maximize spectrum utilization. Together with call admission control (CAC) mechanisms, they enable better optimization of bandwidth use. The primary objective of the research presented in this article is to analyze traffic levels, aiming to optimize traffic management and handling. This article considers the two most popular CAC mechanisms: the resource reservation mechanism and the threshold mechanism. It presents an analytical approach to occupancy distribution and blocking probability calculation in 5G mobile networks, incorporating connection handoff and CAC mechanisms for managing multiple traffic streams generated by multi-service sources. Due to the fact that the developed analytical model is an approximate model, its accuracy was also examined. For this purpose, the results of analytical calculations of the blocking probability in a group of 5G cells are compared with the simulation data. This paper is an extended version of our paper published in 17th ConTEL 2023.

Driving the implementation of hospital examination reservation system through hospital management.

BACKGROUND: Hospital Examination Reservation System (HERS) was designed for reducing appointment examination waiting time and enhancing patients' medical satisfaction in China, but implementing HERS would encounter many difficulties. This study would investigate the factors that influence patients' utilization of HERS through UTAUT2, and provide valuable insights for hospital managements to drive the effective implementation of HERS. It is helpful for improving patients' medical satisfaction. METHODS: We conducted a survey through the Sojump platform, targeting patients were who have already used HERS. We collected questionnaire information related to factors behavior intention, performance expectancy, and effort expectancy. Subsequently, we employed a structural equation model to analyze the factors influencing patients' utilization of HERS. RESULTS: A total of 394 valid questionnaires were collected. Habit was the main direct positive factor influencing the behavioral intention of HERS (ß = 0.593; 95%CI: 0.072, 1.944; P = 0.002), followed by patient innovation (ß = 0.269; 95%CI: 0.002, 0.443; P < 0.001), effort expectancy (ß = 0.239; 95%CI: -0.022, 0.478; P = 0.048). Patient innovation and facilitating conditions also have an indirect effect on behavioral intention. Perceived privacy exposure has a significantly negative effect on behavioral intention (ß=-0.138; 95%CI: -0.225, -0.047; P < 0.001). The above variables explained 56.7% of the variation in behavioral intention. CONCLUSIONS: When HERS is implemented in hospitals, managements should arrange volunteers to guide patients to bring up the habit and solve the using difficulties, and managements could invite patients with high innovation to recommend HERS to others, what's more, it is a valid way to retain the old form of appointment to pass the transition period to the new system. HERS utilization and patients' medical satisfaction will be enhanced through the guidance of hospital management means.

A machine learning-based Biding price optimization algorithm approach.

Trading companies of used product market are struggling to gain customers attentaion and to sell the products. The aim of this research is to develop a mechanism that can maximize the sale of products while considering profit implications. The literature review classifies the procurement mechanism. Given the limited-supply nature, that also includes unpredictable quality levels and a procurement mechanism that perceives the company offering prices to suppliers on a single-item basis. The academic literature has not covered such a mechanism. Techniques like those that improve the required bidding strategy are reviewed and considered fit to be included in the support tool as the procedures intention to maximize an objective function depending on the bidding price and contain the probability of winning the auction and the profit made from the proceeding, the motivation laid on the approach that predicts the probability. It is determined that this assembles a Response to Reverse Request for Quotation that meets the assumptions of a First-Price Sealed-Bid(FPSD) auction that potentially includes a hidden reservation price.

Public's Experience with an Online Reservation System for Residual COVID-19 Vaccines and the Potential for Increasing the Actual Vaccination Rate.

This study aimed to investigate the public's experience of online reservation of residual COVID-19 vaccines in an additional vaccination program. Online reservation was used to predict the vaccination rate. A sample of 620 participants completed the online survey between July and August 2021. About 38% of the participants made the online reservation. About 91% had a vaccination intention. Online reservations showed significant differences in their distribution according to age group, educational level, past flu shot experience, and COVID-19 vaccination intention. A negative experience was the most common response, which was mostly attributed to the difficulty in making an online reservation due to reservations being full. Positive experiences included updated information and notifications on the residual vaccines available, being able to choose a vaccination clinic, and the ease of making, changing, and canceling a reservation. About 72% reported the positive effect of residual vaccine usage on herd immunity. The results of this study suggest that when developing another online reservation program for vaccination, it is necessary to consider and address the negative experiences of the public with online reservations. The additional vaccinations may have resulted in an increased vaccination rate. Vaccination reservations can be used as an indicator to predict the actual vaccination rate and as a measure of a positive attitude toward COVID-19 vaccination.

Mandan, Hidatsa, and Arikara Nation Perspectives on Rez Dogs on the Fort Berthold Reservation in North Dakota, U.S.A.

The research on the relationships between free-roaming dogs, also referred to as reservation dogs or rez dogs, and Indigenous communities is extremely limited. This study aimed to document the cultural significance of rez dogs, challenges related to rez dogs, and community-specific solutions for rez dog issues affecting community health and safety from members of the Mandan, Hidatsa, and Arikara (MHA) Nation, also referred to as the Three Affiliated Tribes (TAT), who live on the Fort Berthold reservation in North Dakota, U.S.A. One hour semi-structured interviews with 14 community members of the MHA Nation were conducted in 2016. The interviews were analyzed via systematic and inductive coding using Gadamer's hermeneutical phenomenology. The primary intervention areas described by the participants included: culturally relevant information sharing, improved animal control policies and practices, and improved access to veterinary care and other animal services.

A Novel Low Complexity Two-Stage Tone Reservation Scheme for PAPR Reduction in OFDM Systems.

Orthogonal frequency division multiplexing (OFDM) has the characteristics of high spectrum efficiency and excellent anti-multipath interference ability. It is the most popular and mature technology currently in wireless communication. However, OFDM is a multi-carrier system, which inevitably has the problem of a high peak-to-average power ratio (PAPR), and s signal with too high PAPR is prone to distortion when passing through an amplifier due to nonlinearity. To address the troubles caused by high PAPR, we proposed an improved tone reservation (I-TR) algorithm to alleviate the above native phenomenon, which will pay some modest pre-calculations to estimate the rough proportion of peak reduction tone (PRT) to determine the appropriate output power allocation threshold then utilize a few iterations to converge to the near-optimal PAPR. Furthermore, our proposed scheme significantly outperforms previous works in terms of PAPR performance and computational complexity, such as selective mapping (SLM), partial transmission sequence (PTS), TR, tone injection (TI), etc. The simulation results show that in our proposed scheme, the PAPR is appreciably reduced by about 6.44 dB compared with the original OFDM technique at complementary cumulative distribution function (CCDF) equal to 10-3, and the complexity of I-TR has reduced by approximately 96% compared to TR. Besides, as for bit error rate (BER), our proposed method always outperforms the original OFDM without any sacrifice.

COVID-19 Testing Factors Among Great Plains American Indians.

BACKGROUND: COVID-19 created unparalleled challenges for vulnerable communities, especially among American Indians and Alaska Natives. An effective COVID-19 response requires a tribally driven effort to understand the perspectives of Tribal members on testing and to ensure that delivery strategies are grounded in the cultural values, traditions, and experiences of the Tribes. METHODS: We conducted a cross-sectional, anonymous survey in October 2021 using established methods to reach Tribal members residing in three Reservations in the Great Plains (N = 679). Multivariate analyses were conducted using logistic regression to assess the association between independent variables and COVID-19 testing uptake after adjusting for confounding. RESULTS: After multivariate adjustment, a respondent's employment status, ability to isolate if diagnosed with COVID-19, and endorsing that COVID-19 testing is only needed if one has symptoms were significantly correlated with having been previously tested for COVID-19. Participants without a full-time job were about half as likely to have been tested for COVID-19 compared to those with full-time jobs. Participants who reported not being able to isolate if they tested positive for COVID-19 and participants who did not think testing was needed if asymptomatic were also half as likely to be tested. CONCLUSIONS: Ensuring that everyone has the ability to isolate, that people who are not working have easy access to testing, and that everyone understands the value of testing after exposure are key steps to maximizing testing uptake. Efforts will only be successful if there is continued investment in programs that provide free testing access for everyone on Reservations.

Social distancing and revenue management-A post-pandemic adaptation for railways.

The SARS-CoV-2 pandemic has had a significant impact on rail operations worldwide. Adopting control measures such as a 50% occupancy rate can contribute to a safer travel environment, though at the expense of operational efficiency. This paper addresses the issues of social distancing and revenue maximization for a train operating company in a post-pandemic world. Although the two objectives appear to be highly contradictory, we believe that judicious planning can optimize both to a great extent. Existing research on social distancing on public transport has only considered the risk of virus transmission during travel. This is the first attempt to recognize the risk of virus spread in different cities along with transmission risk as part of developing a social distancing plan. We study the problem of assigning seats to passenger groups on long-distance trains while ensuring social distancing within coaches. A novel seating assignment policy is proposed that takes into account several factors that govern the spread of virus. In an effort to reduce the spread of the virus and improve revenue simultaneously, a mixed-integer programming (MIP) model is proposed to assign seats to passengers. Several families of valid inequalities and preprocessing steps are proposed to strengthen the MIP formulation, which represents a substantial contribution to the literature on group seat assignment problem. The validity of the model and the effectiveness of the valid inequalities have been evaluated using real-life data from Indian Railways. The computational results demonstrate a significant reduction in the risk of contagion and an increase in seat utilization compared to the current approach employed by operators.

A mixed-methods study protocol on factors contributing to suicide clusters among Native American youth in a northern plains reservation.

Introduction: Suicide and suicide clusters within Native American Reservation communities are devastating to the entire community and increase individuals' risk for suicide over the lifespan. The objective of this paper is to describe the Indigenous community-based participatory research protocol implemented in partnership with the Fort Belknap Indian Community in Montana, United States. The study protocol was developed to understand suicide risk and protective factors, and community-derived solutions, in a reservation community with history of a suicide cluster and high rates of youth suicide. Methods: In this mixed-methods study, qualitative data from youth, adults, and service providers and quantitative data from 200 adolescents and young adults (aged 14-24 years) were collected in Fort Belknap, Montana from May - December of 2022. Qualitative data were collected first via in-depth interviews and focus groups. Survey questions included validated and pre-tested measures of factors youth experience across socio-ecological levels. Thematic analysis was applied to the qualitative data; and logistic regression models were used to examine relationships within the quantitative data. Discussion: This study will add a multi-dimensional perspective to our current understanding of (1) risk and protective factors for suicide, community-derived postvention solutions, and insights on community assets, and (2) the current health and psychosocial status of youth in the Fort Belknap community. This study may serve as an exemplar of co-created, culturally safe solutions designed to address mental health resource gaps. Next steps include development of a suicide crisis response tool kit and a culturally aligned postvention intervention that will enhance individual, family, and community survivance.

American Indian and Alaskan Native Access to Obstetrics and Gynecology Subspecialists: Findings From a National Mystery Caller Study in the United States.

Background A significant disparity exists for American Indian and Alaska Native populations in accessing obstetric and gynecology (OBGYN) subspecialty care, as nearly 43% of individuals do not reside in areas where the Indian Health Service (IHS) provides care. Geographical separation from IHS facilities exacerbates healthcare disparities, particularly regarding access to specialized services. This study aims to create a map illustrating the average driving time from an IHS clinic to OBGYN subspecialists (e.g., gynecologic oncology, maternal-fetal medicine, family planning, urogynecology, pediatric and adolescent gynecology, and reproductive endocrinology and infertility [REI]) and determine the average wait time for appointments with these specialists. Study design A cross-sectional and mystery caller study was conducted using hospital-level data from the IHS and data on women from the 2010 United States Census provided by the US Census Bureau. All US OBGYN subspecialists were identified and mapped. The local distribution of clinics near IHS hospitals was determined, and the nearest OBGYN subspecialist was mapped to IHS hospitals providing women's care services. Thirty-seven OBGYN subspecialists closest to IHS hospitals were contacted to calculate the mean wait time for subspecialty care appointments. Results The median driving time to the closest gynecologic oncology, maternal-fetal medicine, family planning, urogynecology, pediatric and adolescent gynecology, and reproductive endocrinology and infertility OBGYN subspecialist was 214 minutes (interquartile range [IQR] 107-290). The longest drive to see a subspecialist for urogynecology services was over 240 minutes. From the 2010 US Census, we identified 583,574 American Indian and Alaska Native (AI/AN) pediatric, adolescent, and women within a 60-minute drive of an IHS hospital. The mean wait time for a new patient appointment was 13.6 business days (SD ± 2). Conclusions Geographical disparities significantly impact the ability of American Indian and Alaska Native populations to access OBGYN subspecialty care. There was no difference in wait times compared to the national average, though there were significantly longer drive times.

Heuristic Resource Reservation Policies for Public Clouds in the IoT Era.

With the advances in the IoT era, the number of wireless sensor devices has been growing rapidly. This increasing number gives rise to more complex networks where more complex tasks can be executed by utilizing more computational resources from the public clouds. Cloud service providers use various pricing models for their offered services. Some models are appropriate for the cloud service user's short-term requirements whereas the other models are appropriate for the long-term requirements of cloud service users. Reservation-based price models are suitable for long-term requirements of cloud service users. We used the pricing schemes with spot and reserved instances. Reserved instances support a hybrid cost model with fixed reservation costs that vary with contract duration and an hourly usage charge which is lower than the charge of the spot instances. Optimizing resources to be reserved requires sufficient research effort. Recent algorithms proposed for this problem are generally based on integer programming problems, so they do not have polynomial time complexity. In this work, heuristic-based polynomial time policies are proposed for this problem. It is exhibited that the cost for the cloud service user which uses our approach is comparable to optimal solutions, i.e., it is near-optimal.

Research on Fast and Precise Positioning Strategy of an Ultrasonic Motor Based on the Ultrasonic Friction Reduction Theory.

To address the problems of the large positioning error and long positioning time of the traditional positioning strategy, namely, the two-phase simultaneous power-off method (TPSPM), a new positioning strategy, called the first single-phase then two-phase power-off method (FSPTTPPM), based on the ultrasonic friction reduction theory, has been proposed in this work. This method realizes zero sliding displacement between the friction material and the stator during the torsional oscillation of the shaft by controlling the driving circle frequency and the duration of the single-phase power-off period, which reduces the deviation of the displacement reservation value. In order to verify the correctness of the driving mechanism, a test platform has been built, and two positioning strategies have been used for experimental verification. The following experimental results have been obtained: compared to TPSPM, FSPTTPPM has the advantages of higher positioning accuracy and short positioning time. In terms of the positioning accuracy, the relative errors of the displacement reservation values of FSPTTPPM and TPSPM vary with the initial angular velocity (0.24 to 1.18 rad/s) in the range of -0.4 to 0.1 and -0.8 to 0.8, respectively. In addition, the relative error of the displacement reservation value is closer to zero than that of TPSPM at the same initial angular velocity. In terms of the positioning time, when the initial angular velocity is greater than 0.7 rad/s, the positioning time of the FSPTTPPM is approximately 10 ms smaller than that of the TPSPM.

Facing the Impact of the COVID-19 Pandemic: How Can We Allocate Outpatient Doctor Resources More Effectively?

The COVID-19 pandemic caused significant damage to global healthcare systems. Previous studies regarding COVID-19's impact on outpatient numbers focused only on a specific department, lacking research data for multiple departments in general hospitals. We assessed differences in COVID-19's impact on outpatient numbers for different departments to help hospital managers allocate outpatient doctor resources more effectively during the pandemic. We compared the outpatient numbers of 24 departments in a general hospital in Beijing in 2019 and 2020. We also examined an indicator not mentioned in previous studies, monthly departmental patient reservation rates. The results show that, compared with 2019, 2020 outpatient numbers decreased overall by 33.36%. Ten departments' outpatient numbers decreased >33.36%; however, outpatient numbers increased in two departments. In 2020, the overall patient reservation rate in 24 departments was 82.22% of the 2019 reservation rate; the rates in 14 departments were <82.22%. Moreover, patient reservation rates varied across different months. Our research shows that COVID-19's impact on different departments also varied. Additionally, our research suggests that well-known departments will be less affected by COVID-19, as will departments related to tumor treatment, where there may also be an increase in patient numbers. Patient reservation rates are an indicator worthy of attention. We suggest that hospital managers classify departments according to changes in outpatient numbers and patient reservation rates and adopt accurate, dynamic, and humanized management strategies to allocate outpatient doctor resources.

Metal(loid)s in Common Medicinal Plants in a Uranium Mining-Impacted Area in Northwestern New Mexico, USA.

The objective of this study was to determine uranium (U) and other metal(loid) concentrations (As, Cd, Cs, Pb, Mo, Se, Th, and V) in eight species of plants that are commonly used for medicinal purposes on Diné (Navajo) lands in northwestern New Mexico. The study setting was a prime target for U mining, where more than 500 unreclaimed abandoned U mines and structures remain. The plants were located within 3.2 km of abandoned U mines and structures. Plant biota samples (N = 32) and corresponding soil sources were collected. The samples were analyzed using Inductively Coupled Plasma−Mass Spectrometry. In general, the study findings showed that metal(loid)s were concentrated greatest in soil > root > aboveground plant parts, respectively. Several medicinal plant samples were found to exceed the World Health Organization Raw Medicinal Plant Permissible Level for As and Cd; however, using the calculated human intake data, Reference Dietary Intakes, Recommended Dietary Allowances, and tolerable Upper Limits, the levels were not exceeded for those with established food intake or ingestion guidelines. There does not appear to be a dietary food rise of metal(loid) ingestion based solely on the eight medicinal plants examined. Food intake recommendations informed by research are needed for those who may be more sensitive to metal(loid) exposure. Further research is needed to identify research gaps and continued surveillance and monitoring are recommended for mining-impacted communities.

BMI Status and Trends among Native American Family Members Participating in the Growing Resilience Home Garden Study.

This research reports the BMI status of 176 adults and 134 children from 96 Native American families who are participating in a randomized controlled trial to assess health impacts of home gardens. Analyses include demographic associations with BMI using a novel approach of analyzing BMI status of children and adults together as one population by using LMS-based z scores generated from NHANES data. Results fit national data, with Native Americans more likely to be overweight/obese than other US demographic groups. This, in turn, makes Indigenous communities more vulnerable to chronic diseases. Ending these health inequities requires substantial public health nutrition investments in, for example, restoration of Indigenous foodways. This trial is registered at clinicaltrials.gov as NCT02672748.

Analysis of related factors of scheduled ICU before primary hip arthroplasty.

BACKGROUND: Methods for improving the safety of medical treatments for patients, reducing the occurrence of postoperative complications and optimizing medical resources for primary hip replacement are needed. Previous literature has mostly analysed the risk factors and constructed and models to predict a transfer to the ICU after surgery, and no reports on preoperative ICU reservations have been found. This study evaluated the risk factors for preoperative ICU reservation and considered the necessity of preoperative ICU reservations to optimize preoperative communication, enable a seamless transfer between the operating room and ICU, reduce postoperative complications and shorten hospital stays. METHODS: We extracted the data of 1488 patients who underwent hip replacement from the hospital case database from November 2017 to May 2021 and used the case-control test to divide the patients into the case group (scheduled ICU admission, 134 cases) and the control group (Not scheduled ICU admission, 213 cases). The general conditions of the patients before surgery, including sex, age, Charlson comorbidity index, laboratory test results, and anaesthesia methods, were collected and used as independent variables. The t test, rank sum test, and X2 test were used to analyse and identify significant factors with a P < 0.05. Then, these factors were entered into binary logistic regression analysis, and a ROC curve was used to test the efficacy of the regression model. RESULTS: In the data we collected, 134 patients were planned to be transferred to the ICU, and 213 patients were not transferred to the ICU. The two groups of data were analyzed by logistic regression. We defined the risk factors for preoperative ICU appointment in patients with primary hip arthroplasty, including age. (odds ratio (OR) 1.066, 95% (confidence interval) CI (1.039, 1.093), P < 0.001), general anesthesia ( (OR) 1.821, 95%CI (1.165, 2.845), P = 0.008), preoperative C-reactive protein ((OR) 1.016, 95%CI (1.010, 1.022), P < 0.05), preoperative alanine aminotransferase ((OR) 1.042, 95%CI ((1.016, 1.070)), P = 0.002). These were promoting factors for preoperative ICU appointment,and preoperative albumin ((OR) 0.0839, 95%CI (0.792, 0.889)), P < 0.05) was a protective factor for ICU appointment. CONCLUSION: For patients requiring primary hip replacement. Age, general anesthesia, preoperative C-reactive protein, preoperative alanine aminotransferase and preoperative albumin are the key points of our preoperative assessment. Paying attention to the changes of these indicators will help surgeons assess the patient's condition and contact the ICU in advance.These data can be fully understood by the patients' families, reduce the unnecessary use of medical resources, and optimize perioperative management.

Application of the Cycle Management Model in Improving Outpatient Appointment Services.

To explore the application of plan-do-check-action (PDCA) cycle management model in the management outpatient appointment, and improve the efficiency of outpatient appointment services. The data of outpatients from January 2019 to December 2020 were collected from a tertiary class B general hospital affiliated to a university in Shanghai. Through the investigation and analysis of the current situation, the reasons were found for the low rate of outpatient appointment. PDCA management was carried out, and measures were formulated for continuous improvement and the effective measures were standardized. The appointment rate, recognition rate and the utilization rate of self-service appointment (handheld hospital and self-service machine) were analysed after the intervention of PDCA. Through PDCA cycle management model, the appointment rate of outpatients increased from 9.93% before improvement to 82.50% after improvement, and the recognition rate of patients increased from 51.39% to 92.76%. The utilization rate of self-service appointment increased from 1.03% to 56.38%. Through the construction of multi-channel, wide coverage and convenient operation of the appointment service system, the PDCA cycle management model effectively improves the efficiency of the outpatient appointment services.

Electric Vehicle Smart Charging Reservation Algorithm.

The widespread adoption of electromobility constitutes one of the measures designed to reduce air pollution caused by traditional fossil fuels. However, several factors are currently impeding this process, ranging from insufficient charging infrastructure, battery capacity, and long queueing and charging times, to psychological factors. On top of range anxiety, the frustration of the EV drivers is further fuelled by the uncertainty of finding an available charging point on their route. To address this issue, we propose a solution that bypasses the limitations of the "reserve now" function of the OCPP standard, enabling drivers to make charging reservations for the upcoming days, especially when planning a longer trip. We created an algorithm that generates reservation intervals based on the charging station's reservation and transaction history. Subsequently, we ran a series of test cases that yielded promising results, with no overlapping reservations and the occupation of several stations without queues, assuring, thus, a proper distribution of the available energy resources, while increasing end-user satisfaction. Our solution is independent from the OCPP reservation method; therefore, the authentication and reservation processes performed by the proposed algorithm run only through the central system, authorizing only the creator of the reservation to start the charging transaction.