Worker deaths: A regional autopsy study

Amaç: Uluslararası Çalışma Örgütü’ne göre her 15 saniyede bir 153 işçi iş kazası geçirmekte ve bir işçi iş kazaları veya hastalıklar nedeniyle ölmektedir. Dünyada her gün 6.300 insan iş kazaları veya işle ilişkili hastalıklar nedeniyle ölmektedir. Yöntem: Adli Tıp Kurumu Trabzon Grup Başkanlığı Morg İhtisas Dairesi’nde, 2011-2015 yılları arasında otopsisi yapılan, ölüm nedeni iş kazasına bağlanan olguların adli tahkikat evrakları ve otopsi raporları geriye dönük olarak incelendi. Bulgular: Toplam 112 işçi ölümünden 111’inin (%99,1) erkek, 1’inin (%0,9) kadın olduğu tespit edildi. Yaşları 18 ile 64 yıl arasında değişmekteydi. Olguların iş kollarına göre dağılımı incelendiğinde 61 (%54,5) olgunun inşaat sektöründe ve 12 (%10,7) olgunun enerji sektöründe çalıştığı tespit edildi. İş kazalarının 34 (%30,4) olguda yüksekten düşme, 19 (%17) olguda elektrik çarpması nedeniyle gerçekleştiği belirlendi. Yapılan otopsilerde 44 (%39,3) olguda kafatası kemik kırıkları, 22 (%19,6) olguda göğüs kafesi kırıkları vardı. Histopatolojik incelemelerde, 13 (%11,6) olguda kalp-damar patolojileri ve 20 (%17,9) olguda akciğerlerde ödem ve kanama bulundu. Sonuç: Ulusal iş kazası istatistikleriyle de uyumlu olarak, bu çalışmanın sonuçlarına göre, ilk sırada inşaat sektörü bulunmaktadır. Ölüm nedeni olarak ise yüksekten düşmeye bağlı genel beden travmaları, elektrik çarpmaları ve iş makinesi kazaları öne çıkmaktadır.Objective: According to the International Labor Organization, 153 workers are injured and one worker dies because of occupational accidents or diseases every 15 seconds. Every day, 6,300 people die due to occupational accidents or work-related diseases in the world. Methods: Forensic investigation documents and autopsy reports of patients who were autopsied between 2011 and 2015 at the Forensic Medicine Department of Morgue Specialization in Trabzon Group Presidency and whose causes of death were related to occupational accidents were examined retrospectively. Results: It was determined that 111 (99.1%) were male and 1 (0.9%) were female from a total of 112 worker deaths. Their ages ranged between 18 and 64 years. When the distribution of cases by business types was analyzed, it was determined that 61 (54.5%) cases worked in the construction sector and 12 (10.7%) in the energy sector. It was determined that work accidents occurred due to falling from height in 34 (30.4%) cases and electric shock in 19 (17%) cases. There were skull bone fractures in 44 (39.3%) cases and rib cage fractures in 22 (19.6%) cases during autopsies. In histopathological examinations, there were cardiovascular pathologies in 13 (11.6%) cases, edema and bleeding in the lungs in 20 (17.9%) cases. Conclusion: According to the results of this study, construction sector took place on the top, which is consistent with the national work accident statistics. As a cause of death, general body traumas due to falling from high, electric shocks and work machine accidents come to the fore

Deaths due to "patpat" accidents in the Black Sea Region, Turkey

BACKGROUND: Overtime, agricultural machines have been designed appropriate to more simple needs, instead of tractors which have a wide area of use. An example of these is the "patpat," so named because of the sound of the motor, and for which the main purpose is ploughing. METHODS: A patpat is a single-axle, two-wheeled tractor with a trailer attached. In this descriptive study, the descriptive characteristics and causes of death were analyzed of case related to patpat accidents for which autopsies were performed by the Forensic Medicine Institution Trabzon Group Directorate between 2006 and 2017. RESULTS: Information was retrieved from the scene of accident examination documents, and the autopsy and laboratory records. The 21 cases comprised 17 (81%) males and 4 (19%) females, with a mean age of 47.6 +/- 20.3 years (median: 57, range: 10-75 years). Of the total accidents, in 85.7% (n=18), no other vehicle was involved. Following the accident, 52.4% (n=11) of the patpats were found at the side of the road, and 33.3% (n=7) at the edge of a stream or at the bottom of a steep valley. The cause of the accident was determined to be that the patpat had overturned on a bend in 33.3% (n=7) cases and in 85.7% (n=18) of cases, the patpat was found overturned or on its side. The most common injury was being thrown from the vehicle (38.1%, n=8), and in 66.7% (n=14) of cases, the deceased was the patpat driver. CONCLUSION: Patpat accidents are a serious problem because of the frequency of use of these vehicles without proper supervision and especially because of the hazardous topographical conditions where they are used

Analysis of Statistical Forward Planning Methods in Pommerman

Pommerman is a complex multi-player and partially observable game where agents try to be the last standing to win. This game poses very interesting challenges to AI, such as collaboration, learning and planning. In this paper, we compare two Statistical Forward Planning algorithms, Monte Carlo Tree Search (MCTS) and Rolling Horizon Evolutionary Algorithm (RHEA) in Pommerman. We provide insights on how the agents actually play the game, inspecting their behaviours to explain their performance. Results show that MCTS outperforms RHEA in several game settings, but leaving room for multiple avenues of future work: tuning these methods, improving opponent modelling, identifying trap moves and introducing of assumptions for partial observability settings