Day Of Collection Research Articles

Integration of Mobile and Web Applications to Prevent Crime

Citizen insecurity and crime represent one of the greatest challenges, as they affect people’s peace of mind and perception of security. Crime prevention and emergency management face challenges due to the lack of effective mechanisms for collecting and managing information, which hinder decision-making and affect the effectiveness of measures to combat crime. Therefore, the implementation of mobile and web applications is intended to reduce the risk of crime by supporting daily data collection, strategy planning, crime monitoring, diagnosis of the current situation, and coordination and evaluation of the competencies of citizen security agents. The SCRUM framework was applied to address the development and implementation of the model, considering all phases and artifacts. The results demonstrate that the implementation of mobile and web applications significantly supports crime prevention and strengthens district citizen security.

Intelligent Waste Management Optimization Through Machine Learning Analytics

Waste management presents serious obstacles to making metropolitan regions more habitable. Conventional waste management techniques are not usually optimized, resulting in overflowing bins, wasteful waste collection trips, and various negative environmental effects. This study addresses these challenges by developing an intelligent system integrating the Internet of Things (IoT) and machine learning technologies. This study aims to develop an intelligent waste management system that optimizes waste collection routes and schedules through machine learning. (ML) models and Internet of Things (IoT) powered smart bins. The system utilized Support Vector Machines (SVM) and Artificial Neural Networks (ANN) for data analysis, complemented by dynamic route optimization algorithms. Data collection over 90 days across 47 sites encompassed bin fill levels, battery status, and environmental parameters such as temperature and humidity. Results demonstrated significant operational improvements, with the system achieving 89% accuracy in fill-level prediction and enabling a 35% reduction in collection frequency. Implementation led to a 42% decreased fuel consumption and a 2.4-hour reduction in daily collection times. Commercial zones exhibited 1.8 times higher fill rates than residential areas, while weekend waste generation peaked at 2.1 times weekday. The findings indicate that IoT-ML technology integration substantially enhances urban waste management efficiency through data-driven decision-making. Phased implementation, prioritizing high-waste-volume areas, integrating with existing metropolitan systems, and developing standardized data protocols are recommended. This research contributes to the growing body of evidence supporting smart technology adoption in urban waste management, offering a scalable solution for improved operational efficiency and environmental sustainability.

Designing a prototype trauma registry framework for a tertiary health institution in a low- and middle-income country: A qualitative study.

Low- and middle-income countries experience high injury-related mortality rates, with road traffic crashes being a significant contributor in Nigeria. Data from trauma registries are crucial for designing and advocating for trauma intervention programmes. However, there is limited research to inform the development of trauma registries in a Nigerian setting. The aim of this study was to design a feasible prototype trauma registry (TR) including, scope of activities and registry components for University College Hospital (UCH), Ibadan, Nigeria. In-depth interviews were conducted with eight purposively selected trauma registry stakeholders in UCH to obtain context-specific information for a prototype registry. An expert meeting was conducted with four purposively selected experts within the hospital to assess and validate the suitability of the prototype TR scope and TR components, confirming their applicability and potential efficacy in UCH. Information obtained from the interviews and expert meeting were analysed deductively using thematic analysis. Stakeholders identified the most feasible scope for the trauma registry (TR) as daily data collection on all trauma patients from their initial presentation to discharge or death. This data would be gathered primarily at two critical points: the accident/emergency department and the wards where trauma patients are admitted. Stakeholders believed that comprehensive information about trauma patients could be achieved through these collection points. Following this scope, the analysis led to the identification of 21 essential components and activities for the TR, which were then organised into six categories: registry personnel, computers and other materials, trainings, technology infrastructure, administrative services, and monitoring and evaluation. The scope and components identified are relevant to our context and have the potential to contribute to trauma prevention programmes, improve patient care and outcomes, and contribute to trauma-related policies and programmes if successfully implemented.

Quantitative magnetic resonance imaging responses in head and neck cancer patients treated with magnetic resonance-guided hypofractionated radiation therapy.

Quantitative MRI (qMRI) has been explored for detecting tumor changes during radiation therapy (RT) in head and neck squamous cell cancer (HNSCC). Clinical trials show prolonged survival with PD-1 targeted immune checkpoint inhibition. Hypofractionated radiation regimens are being studied to counteract radioresistant clonogen formation. This study aims to use daily qMRI monitoring in these therapies. The objective of this exploratory study was to investigate if qMRI can detect tumor microenvironment changes during hypofractionated RT in a phase I trial of Dose-Escalated Hypofractionated Adaptive Radiotherapy (DEHART). Seventeen subjects with advanced HNSCC underwent MR-guided RT with daily qMRI using a 15-fraction regimen to a cumulative dose of 50, 55, or 60Gy. A 1.5T MRI-Linac collected daily intravoxel incoherent motion (IVIM), T1, and T2 mappings. Median primary tumor ADC, D, D*, f, T1, and T2 were calculated, using paraspinal muscle as a control. qMRI parameters were analyzed by treatment condition and length using linear mixed effect models and nonparametric tests. Significant (p<0.05) increases in ADC, D, f, and T2 were observed over treatment duration for multiple conditions. Daily monitoring enhanced result significance compared to weekly collection. Daily qMRI effectively monitors tumor response over short periods and varying treatment conditions. Further studies on radiation and systemic therapy combinations in HNSCC could benefit from daily qMRI data collection.

Pilot evaluation of LR EXT sets of the Reveos automated blood processing system.

The Reveos automated blood processing system is the only system developed till date, which can separate whole blood into components on complete automation. Their proprietary LR and NLR blood collection sets have their own advantages and disadvantages. Using LR sets, leukodepleted components can be prepared but individual platelet units cannot be prepared. Using NLR sets, individual platelet units can be prepared, but components are non-leukodepleted. The newly launched LR EXT with the apparent advantage of both LR and NLR sets have been evaluated in this pilot study. Blood components prepared from 31 LR EXT sets were evaluated in this study in comparison with the National regulations and with components routinely prepared from LR and NLR sets. Excluding under-collected and sero-reactive units, components prepared from 27 LR EXT sets were evaluated for their quality. QC of PRBC units prepared had a mean volume of 296.86 ml, Hct of 59.2 % and WBC count as low as 0.06 × 106 per bag. FFP units had a mean volume of 221.89 ml, mean Fibrinogen of 432.47 mg and FVIII levels of 98.13 IU per bag. PLT units had a mean volume of 73.07 ml, PLT count of 5.74 × 1010 and WBC count of 3.21 × 108 per bag. The use LR EXT blood collection sets help in achieving adequate inventory of both LD-PRBCs and RDPs especially in blood centres with a lower daily collection rate.

Nutritional Value of Nannochloropsis oceanica for Weaner Piglets.

This study evaluates the nutritional value of spray-dried Nannochloropsis oceanica biomass to infer its applicability for weaner piglet feeding. Twenty-four piglets were randomly allocated to four dietary treatments (n = 6) with increasing N. oceanica inclusion (0, 5, 10, and 15%) levels. After a 4-day adaptation period, the digestibility experiment lasted two weeks, with daily excreta collection. Total tract apparent digestibility (TTAD), N balance, intestinal pH, histomorphology, and volatile fatty acid (VFA) concentrations were measured. No significant differences were observed in feed intake, growth, or intestinal morphology (p > 0.05). N intake increased linearly (p = 0.005) with N. oceanica inclusion, while N retention efficiency remained unchanged (p = 0.058). VFA concentrations decreased linearly (p < 0.001). The TTAD of dry matter (DM), organic matter, ether extract, and gross energy decreased (p < 0.05) with higher N. oceanica levels, while the ash TTAD increased (p < 0.001). The estimated TTAD values for N. oceanica biomass were 72.5% for DM, 82.9% for N, and 64.4% for gross energy. The digestible energy, metabolisable energy, and digestible crude protein values estimated for N. oceanica were 12.74 MJ/kg DM, 12.40 MJ/kg DM, and 20.4% DM, respectively. This information enabled the first nutritional characterisation of N. oceanica for weaner piglets, ultimately leveraging its use in piglet diet formulation.

HOUSEHOLD WASTE MANAGEMENT THROUGH BIOPORE CREATION TRAINING AND USING RAPEL APPLICATION

Background: The amount of garbage in Yogyakarta annually experiences consistent growth. Some inhabitants have not adopted autonomous garbage sorting and depend on police to handle waste management. Yet, the lack of daily garbage collection by officials has led to a buildup of domestic garbage in the Dusun Karangbendo. Knowledge in managing both organic and non-organic garbage may be significantly increased through education, making it one of the most crucial waste reduction measures. Objective: This activity aims to enhance the community's understanding and proficiency in biopores and the implementation of RAPEL as an environmentally friendly approach to trash reduction in Dusun Karangbendo, Banguntapan, Bantul. Method: The approach employed involves providing education and training to the residents of Dusun Karangbendo. Of 18 individuals underwent training to create biopore holes and utilise the RAPEL application to recycle non-organic garbage. Results: A significant rise in knowledge regarding trash management and a strong dedication to using the acquired techniques has been seen (p-value = 0.000). Conclusion: Such measures not only mitigate the adverse environmental effects of garbage but also yield supplementary economic advantages for the community. Anticipated is that this effort will serve as a paradigm for other areas inefficiently and durably handling trash.

Non-intensive care unit feasibility for ambulatory veno-venous extracorporeal membrane oxygenation patients.

Veno-venous extracorporeal membrane oxygenation has increasingly been utilized to support patients in respiratory failure as a bridge to recovery or lung transplantation. As patients progress from cannulation to recovery or transplantation, it has been shown that physical therapy and ambulation are possible and beneficial for patient outcomes. We sought to evaluate the feasibility of managing these ambulatory VV-ECMO patients in a non-ICU setting by conducting a single-center, retrospective cohort study to characterize the daily data collection (i.e., CXRs, blood draws, etc.) and ICU and ECMO interventions and events (i.e., oxygenator/cannula exchange, sweep or flow adjustments, etc.). A total of 28 ECMO runs from patients ≥18 years of age who ambulated ≥100 feet while on VV ECMO between 2014 and 2020 were included for analysis. Patients were supported on ECMO a median of 33 [18-79.5] days with a mean of 4.0 (3.8,4.1) data collections per day. There was a mean of 1.1 (1.0,1.2) anticoagulation changes, 1.5 (1.4,1.6) ECMO interventions, and 0.40 (0.34,0.46) ICU interventions per day. There were very few instances of cannula repositioning or oxygenator exchanges - 0.05 (CI 0.04, 0.06) per day. Our data suggests that ambulatory VV-ECMO patients may tolerate less than ICU level of care and may even progress to outpatient management as ECMO technology continues to advance.

Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing

Accurate assessment of distribution patterns and dynamic insights into rural populations is pivotal for comprehending domestic waste generation, recycling, and transportation in rural territories. Given that the dispersion of rural inhabitants exhibits minimal variation and maintains stability, this research endeavors to establish a pragmatic model for rural domestic waste collection and routing, leveraging the capabilities of very high-resolution remote sensing combined with geographic information system (GIS) techniques. Specifically, the Dilated LinkNet model was employed to discern features such as buildings, roads, water bodies, farmlands, and forests from the high-resolution remote sensing imagery. A novel multiple K-means clustering approach was devised for building segmentation. Within these clusters, an assortment of spatial regulations and evaluations facilitated the judicious selection of environmentally-conscious waste collection sites (WCSs). The Pointer Network, augmented with reinforcement learning, executed a traveling salesman analysis on these chosen WCSs, yielding the optimal collection trajectory. Validated in Huangtu Town, a quintessential rural region in China, our model manifested superior recognition precision, recording IoU accuracies of 0.902, 0.926, 0.933, 0.891, and 0.849 for buildings, roads, water bodies, farmlands, and forests respectively. Notably, when compared to our field survey data, the optimized daily collection route in a rural context decreased from 256.40 km before optimization to 140.44 km, reflecting a substantial reduction of 45.23% in total distance. This study furnishes an effective model that relies solely on information from remote-sensing images for efficient rural waste collection and extends invaluable insights to planners and administrators in the realm of rural and township waste management.

Establishment of a standardized daily behavior collection and analysis system for brain disease models of rhesus and cynomolgus monkeys and its application in autism spectrum disorder

Complex brain diseases seriously endanger human health, and early diagnostic biomarkers and effective treatments are currently lacking. Due to ethical constraints on human research, establishing monkey models is crucial to address these issues. With the rapid development of technology, transgenic monkey models of a range of brain diseases, especially autism spectrum disorder (ASD), have been successfully established. However, to establish practical and effective brain disease models and subsequently apply them to disease mechanism and treatment studies, there is still a lack of a standard tool, i.e., a system for collecting and analyzing the daily behaviors of brain disease model monkeys. Therefore, with the goal of undertaking a comprehensive and quantitative study of behavioral phenotypes, we established a standard daily behavior collection and analysis system, including behavioral data collection protocols and a monkey daily behavior ethogram (MDBE) for rhesus and cynomolgus monkeys, which are the most commonly used non-human primates in model construction. Then, we used ASD as an application example after referring to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR), which is widely used in clinical disease diagnosis to obtain ASD core clinical symptoms. We then established a sub-ethogram (ASD monkey core behavior ethogram (MCBE-ASD)) specifically for quantitative assessment of the core clinical symptoms of an ASD monkey model based on MDBE. Subsequently, we demonstrated the high reproducibility of the system.

Utilizing crowd-sourced bathymetry for post disaster analysis – A case study

This paper discusses two main use cases where DockTech's Crowd-Sourced Bathymetry (CSB) was utilized to aid the port of Rio Grande (Brazil) during severe flooding. (1) Daily Data Collection and Analysis: DockTech implemented a system to collect daily bathymetric information from tugboats operating in the port. By comparing this data to established reference points, the port was able to estimate daily changes in the underwater environment, enabling timely and informed decision-making. (2) Emergency Monitoring Operations: In the absence of accessible traditional surveys, the port commissioned two tugboats, equipped with CSB equipment, to conduct survey operations in the entrance channel. The data collected through these efforts allowed the port to make informed adjustments to draft restrictions by an extra 30 cm, ensuring safe passage for vessels despite the challenging conditions. Key findings from these efforts include the identification of channel edges with deposition, the detection of shallow regions in the entrance channel, and the facilitation of lifting draft restrictions from 11.9 m to 12.2 m. These outcomes demonstrate the practical applications and advantages of CSB-based technologies in responding to natural disasters, providing critical support to port operations under challenging conditions.

Abstract 430: The Use of DCS as a Predictive Model for the Development of DCI Following aSAH ‐ Preliminary Experience

Background Delayed cerebral ischemia (DCI) remains the leading cause of morbidity and mortality in patients with subarachnoid hemorrhage (SAH). DCI results in focal neurological deficits in 30‐50% of patients within 4‐10 days following aneurysm rupture. Given the short comings of the current technologies in identifying DCI (mainly, transcranial dopplers), the current study employed the use of non‐invasive optical measurements of cerebral blood flow (CBF) using a custom‐built diffuse correlation spectroscopy (DCS) device. This research is supported by an R01 NIINDS funding mechanism. Methods We preformed daily bilateral cerebral blood flow measurements using a custom built DCS device in six patients following aSAH until discharge from our facility. Daily collection of transcranial doppler readings, NIHSS and GCS scores, in conjunction with other relevant clinical and angiographic procedural data were collected daily from admission until day 14 (or later if the patient remained symptomatic). In patients who underwent intra‐arterial vasospasm treatment in the angio suite, DCS recordings were obtained immediately before, after, and throughout the infusion. Results Recordings were successfully obtained in six patients. No safety concerns or interference with standard workflow procedures were noted. Correlation of daily DCS measurements with changes in clinical exam and occurrence of DCI are being finalized and prepared for the SVIN conference. Conclusions Preliminary analysis have demonstrated that the use of DCS optical measurements is safe and effective in the clinical setting with minimal interruptions to standard clinical operations.

What interval of daily pain assessment is required to reliably diagnose chronic pain in SCD? The Pain in Sickle Cell Epidemiology Study

Abstract Objectives Chronic pain in SCD has been defined as pain on most days over 6 months. In the landmark Pain in Sickle Cell Epidemiology Study, 60% of patients submitted &amp;lt;5 of the expected 6 months of pain diaries. Identifying chronic SCD pain using this long daily assessment interval is impractical. We therefore examined whether shorter, less burdensome intervals could accurately identify chronic SCD pain. Methods As the gold-standard sample, we chose the 116 Pain in Sickle Cell Epidemiology Study patients who submitted &amp;gt;5 months of diaries (153) and &amp;gt;49% of diaries during all months from 1 to 4. Using the same dataset, we tested daily diary assessment over shorter intervals: 2 weeks, 1 month, 2 months, 3 months, and 4 months. We defined chronic pain as intensity rated as &amp;gt;0 on &amp;gt;50% of diary days, regardless of interval. We then calculated the sensitivity and specificity of each diary interval. Results Among the gold-standard sample, 51.3% of patients had diary-defined chronic pain. Collection intervals of 2 months or more yielded similar chronic pain prevalences with identically high sensitivity (98.3%) and specificity (93%). Intervals of 1 month and 2 weeks yielded increasingly lower specificity (80.7%, 73.7%, respectively), but preserved sensitivity (≥96.6%). Conclusion In the Pain in Sickle Cell Epidemiology Study, intervals of 2 months or more of daily diary collection yielded high sensitivity and specificity, compared to an interval of 5-6 months. One may reasonably diagnose chronic SCD pain using 2 months of daily diaries.

Development of a web-based ecological momentary assessment tool to measure day-to-day variability of the symptoms in patients with Sjögren’s disease

ObjectivesTo develop and validate a web-based ecological momentary assessment (EMA) tool to enhance symptoms monitoring among patients with Sjögren’s disease (SjD).MethodsConsecutive adults with SjD were enrolled in this pilot observational...

Highly Heterogeneous Kaposi Sarcoma-Associated Herpesvirus Oral Shedding Kinetics Among People With and Without Kaposi Sarcoma and Human Immunodeficiency Virus Coinfection.

An improved understanding of oral Kaposi sarcoma-associated herpesvirus (KSHV) viral dynamics could provide insights into transmission risk and guide vaccine development. We evaluated KSHV oral shedding dynamics in Ugandan adults stratified by Kaposi sarcoma (KS) and human immunodeficiency virus (HIV) status. Participants were followed for ≥4 weeks, with daily home oral swab collection to quantify KSHV using polymerase chain reaction. Shedding rates were defined by number of days with KSHV DNA detected divided by total days with swabs and compared by group using hurdle models. Two hundred ninety-five participants were enrolled; median age was 35 years (range, 18-71 years), and 134 (45%) were male. KSHV was detected more frequently among participants with KS (HIV positive [HIV+]/KS+, 56/76 [74%]; HIV negative [HIV-]/KS+, 9/18 [50%]) than those without KS (HIV+/KS-, 36/125 [29%]; HIV-/KS-, 16/76 [21%]); odds of shedding did not differ significantly by HIV status. Among participants with KSHV detected, shedding rates did not differ significantly by group. Median per-participant viral loads among positive samples were lowest in HIV+/KS+ (3.1 log10 copies/mL) and HIV-/KS+ (3.3 log10 copies/mL) participants relative to HIV+/KS- (3.8 log10 copies/mL) and HIV-/KS- (4.0 log10 copies/mL) participants. All groups had participants with low viral load intermittent shedding and participants with high viral load persistent shedding. Within each group, individual KSHV shedding rate positively correlated with median KSHV log10 copies/mL, and episode duration positively correlated with peak viral load. Oral KSHV shedding is highly heterogeneous across Ugandan adults with and without KS and HIV. Persistent shedding is associated with higher median viral loads regardless of HIV and KS status.

Herramientas de Gestión para la Optimización del Minado Subterráneo

The objective of this research work was to optimize productivity and reduce costs in mechanized underground mining operations; for which management tools such as TPM (Total Productive Maintenance) were applied, which made it possible to ensure the expected reliability of the equipment and Management Indicators (KPIs), contributing to greater effectiveness in operations and statistical tools to improve quality, Pareto charts and Ishikawa diagrams. A descriptive methodology consisting of the daily collection of data contained in the mine operations records, to analyze it and identify opportunities for improvement in each process, thus determining unproductive delays in drilling, ore cleaning and hauling. Among the results, it was identified that the availability of the H 357 drilling equipment had an increase of 6.80% after implementing management tools. It was also evident that productivity increased considerably in the effective working time of the Scoop measured in tons/hour, thanks to the implementation of TPM, from 79.90 to 85. Ultimately, the application of management tools allowed a philosophical change within the organization, guiding a more effective management of operations of the mining company.

ANALISIS INCREASE TAX DAN TAX AMNESTY TERHADAP TAX ASSURANCE DALAM PROBABILITAS PEMERIKSAAN PAJAK

Charge is a required commitment owed by people or substances. In this context, the SAMSAT office participates in public services, contributing to fiscal monitoring and supervision of tax amnesty implementation. It was found that individuals tend to disagree more than agree with tax amnesty, but tax amnesty tends to improve tax compliance. The research method used was qualitative, involving interview sessions at the SAMSAT office. The goal was to gather detailed information about various aspects of public services, with the main objective of providing constructive suggestions to enhance service standards. Interviews were conducted at the Samsat UPT Wilayah I Kota Pontianak, covering the overall profile and structure of the institution, as well as documents related to tax regulations. The research results indicate that increased taxes impact tax assurance, affecting both expenditures and central taxes. Tax rates in daily collections are subject to change, and tax assurance plays a crucial role in handling and overseeing local taxpayers. The government ensures compliance with existing tax regulations, monitored by the Regional Revenue Agency and the State Audit Board, with annual routines to engage the general public in a timely manner.

Optimal design and thermal performance evaluation of phase change material filling position for solar air collectors

Unreasonable filling positions of phase-change materials (PCMs) significantly reduce the heat storage capacity, heat release time, output temperature difference, heat collection efficiency, and heat peak migration capacity of PCM-based solar–air collectors in building heating systems, thereby affecting the comprehensive heating requirements of building users. To solve this problem and obtain the optimal filling position of the PCM, four PCM filling schemes were designed in this experiment: Type I was a solar air collector with the PCM filled in the upper portion, Type II was filled in the middle portion, Type III was filled on both sides, and Type IV was filled in the bottom portion. Subsequently, the four models were compared. A comparative analysis of the thermal performance evaluation index showed that compared with the other three types of collectors, the heat storage layer of Type I stored 1.505 × 106J of heat in 1.42h, indicating that the Type I solar–air collector had the best heat storage speed rate. When the solar energy supply was terminated, the continuous heat release time of the Type I collector was 13.92h, and the ratio of the heat release time to the non-solar time was 96 %. The Type I collector had the lowest output temperature and the slightest temperature fluctuation, which could increase indoor thermal comfort. The average daily heat collection efficiency of the Type I collector was the lowest, at only 38.11 %, indicating that the Type I collector has the strongest “peak cutting and valley filling” ability, which allows for transferring more heat for nighttime release. Therefore, filling the upper portion is the optimal filling scheme that can provide technical benefits for the application and development of collectors.

The Effectiveness of Generated Electrical Power Based on the Water Discharge of Reservoir

Renewable energy has an important role today, one of which is hydroelectric power plants which use water as the main resource. The operation of a hydroelectric power plant generally aims to maximize the water discharge available in the reservoir in order to obtain maximum energy generation. The main driver of hydropower development is the hydraulic turbines. It's a mechanical device that turns the potential energy of water into electrical energy. So researchers are interested in conducting research with the title analysis of the effectiveness of electrical energy based on reservoir conditions. The method used in this research is daily data collection in the form of reservoir elevation level data, outflow, and data on the electrical power generated by the generator. After that, calculate the water volume, hydraulic power, turbine mechanical power along with turbine efficiency, and the efficiency of the generator. Then analyze the values of hydraulic power, turbine mechanical power, electrical power based on water discharge over time. As well as analyzing the efficiency of the generator based on the electrical power that can be generated over a period of one year. Based on research, it is known that an increase in powerplant efficiency occurs after draining the reservoir with a value range of 70% - 72%, because mud deposits accumulate in the reservoir resulting in the reservoir water volume capacity not being optimal.

Using Passive and Active Data to Predict Post-Traumatic Stress Disorder Symptoms and Cannabis Use in Recently Discharged UK Veterans: A Protocol for the MAVERICK Feasibility Study.

Post-traumatic stress disorder (PTSD) and comorbid cannabis use disorder (CUD) is a growing concern amongst UK veterans. Co-occurrence of problematic cannabis use, and PTSD is associated with greater PTSD symptom severity, decreased likelihood of cannabis use cessation, worse clinical outcomes, and increased societal burden. Despite increased screening efforts among veterans, there are no effective strategies for predicting risk for PTSD and problematic drug use escalation before these conditions develop, worsen, or become chronic. This feasibility study employs a 4-week (28 day) longitudinal design (daily data collection), multiple passive data collection features via a bespoke study smartphone app called MAVERICK, and active data collection via wearable technology to predict clinically meaningful escalations in cannabis use and PTSD symptoms in UK veterans. Questionnaire data will be collected between 06:00 and 10:00 each day. Passive data will be collected continuously in the background. The study will begin recruitment in June 2023 and will require 18 months to complete. Study results are expected to be published in January 2024. This trial will provide information on the feasibility and utility of a smartphone app (MAVERICK) to collect both active and passive data to predict PTSD symptoms and cannabis use in a UK veteran population. If the smartphone app is deemed feasible and acceptable to users, it has the potential to provide an effective measurement tool to mitigate risk of PTSD and problematic cannabis use among veterans.