On the Development of a Digital Twin for Underwater UXO Detection Using Magnetometer-Based Data in Application for the Training Set Generation for Machine Learning Models

Scanning underwater areas using magnetometers in search of unexploded ordnance is a difficult challenge, where machine learning methods can find a significant application. However, this requires the creation of a dataset enabling the training of prediction models. Such a task is difficult and costly due to the limited availability of relevant data. To address this challenge in the article, we propose the use of numerical modeling to solve this task. The conducted experiments allow us to conclude that it is possible to obtain high compliance with the numerical model based on the finite element method with the results of physical tests. Additionally, the paper discusses the methodology of simplifying the computational model, allowing for an almost three times reduction in the calculation time without affecting model quality. The article also presents and discusses the methodology for generating a dataset for the discrimination of UXO/non-UXO objects. According to that methodology, a dataset is generated and described in detail including assumptions on objects considered as UXO and nonUXO.

Stratification of risk to the surgical team in removal of small arms ammunition implanted in the craniofacial region: case report

In cases of penetrating injury with implantation of small arms ammunition, it can often be difficult to tell the difference between simple ballistics and ballistics associated with unexploded ordnances (UXOs). In the operative environment, where highly flammable substances are often close to the surgical site, detonation of UXOs could have catastrophic consequences for both the patient and surgical team. There is a paucity of information in the literature regarding how to evaluate whether an implanted munition contains explosive material. This report describes a patient who presented during Operation Enduring Freedom with an implanted munition suspicious for a UXO and the subsequent workup organized by Explosive Ordnance Disposal (EOD) Company prior to surgical removal. Clinical risk factors for UXOs include assassination attempts and/or wartime settings. Specific radiological features suggestive of a UXO include projectile size greater than 7.62-mm caliber, alterations in density of the tip, as well as radiological evidence of a hollowed-out core. If an implanted UXO is suspected, risks to the surgical and anesthesia teams can be minimized by notifying the nearest military installation with EOD capabilities and following clinical practice guidelines set forth by the Joint Theater Trauma System.

Epidemiological Study of Child Casualties of Landmines and Unexploded Ordnances: A National Study from Iran

BACKGROUND

Despite landmine-risk education programs and extensive demining activities on the Western border of Iran, landmines and unexploded ordnance (UXOs) still cause civilian and child casualties three decades after the Iraq-Iran war (1980-1988). The objective of this study was to understand the epidemiological patterns and risk factors of injury in child casualties of landmines and UXOs in Western and Southwestern Iran.

METHODS

Children who were 18 years old or younger at the time of study and who sustained injuries from landmines and UXOs were identified through a search at the Iranian National Veterans Registry. These children participated in a 5-day gathering. The information on socioeconomic status, health-related issues, quality of life, health care utilization, and clinical profiles concerning the landmine and UXO injuries were collected. The method of data collection consisted of three component surveys: health interview, social survey, and medical examinations. Social surveys and health interviews were conducted in a face-to-face method by utilizing a questionnaire consisting of 39 questions addressing household and individual components, including information on time and type of injuries, physical activity, mental health, and quality of life. A comprehensive team of physicians in different subspecialties evaluated and examined children to assess the current medical and psychiatric conditions and physical activity, and recommended and arranged further medical, rehabilitation, or surgical planning.

RESULTS

Seventy-eight child casualties were identified and participated in the study. The mean age of the participants at the time of study was 16.11 years old (SD=2 years). The mean age of victims at the time of injury was 8.2 years (SD=3.12 years; ranged from 2 to 15 years old). Sixty-seven (85.9%) of the children were male. Provinces of Kurdistan and Kermanshah had the highest number of casualties, with a total number of 54 children (68.3%). Eighty percent of the injuries were caused by landmines, and UXO explosions were reported in 20% of the cases. Overall, 24 children (30%) had received some landmine-risk education before or after the events. Sixty percent of the explosions had happened in the morning between 9:00 am and 12:00 pm. Playing and grazing livestock were the most prevalent activities/reasons at the time of injury, which were reported in 77% of the subjects. Sixty-three percent of incidents had multiple casualties and in only 13 explosions were the children the only victims of the explosion. The most prevalent injuries were amputations in 41 subjects (52.56%), followed by hearing loss in 23 subjects (29.5%). Amputations were more common in upper extremities (62%) than in lower extremities (38%).

CONCLUSION

Landmines and UXOs comprise a significant safety hazard to the children living in the Western border of Iran decades after the Iraq-Iran War. The large number of injuries and lack of risk training among victims suggest that landmine cleanings and landmine-risk education should be age-specifically targeted and expanded substantially.

Analysis of Landmine Fatalities and Injuries in the Kurdistan Region

This study analyzes landmine victim data in the Kurdistan Region during the period 1960 to 2005. A regression analysis is used to identify the determinants and impact of the probability of getting killed by mines and unexploded ordnances. The rates of killed/injured victims are explained using a set of socioeconomic variables. As the data are a repeated cross-section in which the individuals are observed when they are subjected to landmine incidents, and to account for the dynamic aspect of the process and heterogeneity by location as well as to control for unobserved location and time effects, a pseudo panel data are created where districts are observed over the entire time period forming a panel data. The results show that (a) males, children, and the elderly are more susceptible to a higher level of landmine risks; (b) landmine training and awareness programs do not reduce the rate of landmine mortality; and (c) the rate of incidents are declining over time. This result can be used in the planning, monitoring, and resource allocation for mine action, as well as labor market programs and rehabilitation activities.