A Fuzzy Cognitive Mapping Approach to Conduct Deficiency Investigation under SIRE 2.0 Inspection

Ship Inspection Report Programme (SIRE) 2.0 has recently become operational as a new vessel inspection regime in the tanker industry. This study proposes a methodology to analyse and address multiple deficiencies observed during SIRE 2.0 inspections. The methodology is structured based on Fuzzy Cognitive Mapping (FCM) to identify and analyse the causes of deficiencies derived from the International Maritime Organization (IMO) classification scheme, including the factors under key dimensions, such as diminished human performance, marine environment, safety administration, and management. An illustrative case study on a set of deficiencies has been conducted to ascertain the utility of the methodology. The results specifically reveal that inadequate situational communication and awareness, inadequate knowledge of ship procedures, regulations, and standards, inadequate supervision, being unaware of role or task responsibility, poor maintenance, etc. are the potential causes that might lead to the occurrence of deficiency items. Considering the dimension-based distributions of causes, the study highlights integrated preventive action recommendations specific to the analysed deficiency cases. Consequently, the study might help tanker shipping companies manage key challenges with SIRE 2.0 implementations

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

This paper proposes a hybrid approach, including Fuzzy Dematel (FD) integrated with Discrete Event Simulation (DES), to predict emergency preparedness levels on-board ships. The FD used critical factors that affect emergency preparedness to conduct a DES based on real firefighting drill records collected from 45 merchant ships. The simulation results showed the average duration of on-board drills in ideal conditions (27.47 min.), in the worst-case scenario (51.49 min.), for Ship A (29.99 min.), and Ship B (28.12 min.). Based on the findings, recovery actions linked to the factors have been recommended to promote on-board implementation. The proposed model is of great importance to shore-based managers, allowing them to monitor the emergency preparedness level of the fleet continuously, even during pandemics. Further studies are planned to develop a remote monitoring system that would digitalize the existing response procedures in emergency situations

Systematic Analysis of Multi-Source Inspection Database via Ship Smart Audit System

This study proposes a methodology to deeply analyze the multi-source inspection/audit findings gathered from a ship fleet to promote and implement proactive measures systematically. In addition to the ship audit reports of Company-A operating 16 bulk carriers in the Black Sea and the Mediterranean, the multi-source inspection database also consists of benchmarking datasets of different fleets. The Ship Smart Audit System (SSAS), including data collection, causation, analysis and prioritization, and implementation phases, is developed to strengthen the maritime regulatory compliance. Particularly, the Marine Systematic Cause Analysis Technique (M-SCAT), Cognitive Mapping (CM), and Pareto analysis are integrated into methodological background of the study. The SSAS is demonstrated with 5,000 findings from the benchmarking dataset and, subsequently, over 1,900 findings from the Company-A. Then, cause priorities, root cause trends, preventive actions, and audit item preferences are identified as an interconnected process of the ship management company. Consequently, the study encourages maritime executives to increase the effectiveness of pre-inspection and internal audit implementations

Intelligent transportation systems applications: Safety and transfer of big transport data

The distributed ledger technology (Blockchain) offers a fast, scalable solution for data tracking and authentication. Implementation of Blockchain is expected to emphasize the use of technology to decrease or eliminate third-party costs, better protect devices and systems’ data, and enhance transparency and security. Blockchain also offers a highly secure platform that enables quicker operation and payments, and more precise data record of transportation vehicles (in all modes). This feature plays a significant role in the supply chain by providing access to shared information, to decrease or eliminate redundant communication and information, avoiding data transmission errors. Therefore, it becomes feasible to spend less time verifying data and more time analysing and managing data, which can improve the quality of the interaction between participants, control or reduce costs, or both. In the collection, analysis, and secure sharing of big data with relevant parties, technological advances and the efficient use of smart transportation systems in urban and rural transportation take priority. Particularly in recent years, the loss of data from hacker attacks or the inability to determine where data is transported demonstrates that Blockchain technology may be used successfully in this field. This paper examines the “Smart Cities Traffic Safety” project, which is one of the largest Intelligent Transportation Systems (ITS) projects in Turkey and is currently implemented by Samsun Metropolitan Municipality. In these ITS-based transportation applications, Blockchain technology is used to protect against cyber-attacks on the data of intelligent signalised intersections, average speed corridors, parking violation detection, and red-light violation detection systems. Additionally, this research focuses on the secure sharing of the transportation Big Data with third parties based on the step-by-step monitoring of data transfer history. In the context of this project, the first step is to propose a framework that is based on the technology of Blockchain. Then, a platform was developed with the objective to enable the authentication, validation, monitoring, and protection of information and to address the emerging challenges in the field of transportation systems

The effect of vitamin D status on non-alcoholic fatty liver disease: a population-based observational study

Introduction: The effect of vitamin D status on steatosis has not been fully elucidated. In this study, we planned to investigate this interaction using a large-scale population-based cohort. Material and methods: Patients diagnosed with simple steatosis (K76.0) and non-alcoholic steatohepatitis (NASH) (K75.8) by using the International Classification of Diseases 10th Revision (ICD-10) coding system, and who had 25-hydroxyvitamin D (25OHD) measurements at the diagnosis, were included in the study. Control group comprised subjects without liver diseases. Age, gender, alanine aminotransferase (ALT) and 25OHD levels, and the date of the measurements were recorded. Results: We compared ALT and 25OHD measurements between the patient and control groups, and between the simple steatosis and NASH subgroups. 25OHD levels were lower and ALT levels were higher in the patient group (p < 0.001, effect size = 0.028, and p < 0.001, effect size = 0.442, respectively). Logistic regression analysis showed that when 25OHD levels decrease by 1 ng/dL, it increases the risk of being in the patient group by 3.7%. Conclusion: Our results suggest that vitamin D status may be related to the development of non-alcoholic fatty liver disease (NAFLD). Although this relationship is weak, it may be important in the pathogenesis of steatosis

Evaluating environmental tobacco smoke exposure in a Group of turkish primary school students and developing intervention methods for prevention

<p>Abstract</p> <p>Background</p> <p>In countries like Turkey where smoking is highly prevalent, children's exposure to tobacco smoke is an important public health problem. The goals of this study were to determine the self-reported environmental tobacco smoke exposure status of primary school students in grades 3 to 5, to verify self-reported exposure levels with data provided from a biomarker of exposure, and to develop methods for preventing school children from passive smoking.</p> <p>Methods</p> <p>The study was conducted on 347 primary school students by using a standard questionnaire and urinary cotinine tests. Children with verified ETS exposure were randomly assigned to 2 intervention groups. Two phone interviews were conducted with the parents of the first group regarding their children's passive smoking status and its possible consequences. On the other hand, a brief note concerning urinary cotinine test result was sent to parents of the second group. Nine months after the initial urinary cotinine tests, measurements were repeated in both groups.</p> <p>Results</p> <p>According to questionnaire data, 59.9% of the study group (208 of 347) were exposed to ETS. Urinary cotinine measurements of children were highly consistent with the self-reported exposure levels (P < 0.001). Two different intervention methods were applied to parents of the exposed children. Control tests suggested a remarkable reduction in the proportion of those children demonstrating a recent exposure to ETS in both groups. Proportions of children with urinary cotinine concentrations 10 ng/ml or lower were 79.5% in Group I and 74.2% in Group II (P > 0.05).</p> <p>Conclusion</p> <p>Self-reported ETS exposure was found to be pretty accurate in the 9–11 age group when checked with urinary cotinine tests. Only informing parents that their childrens' ETS exposure were confirmed by a laboratory test seems to be very promising in preventing children from ETS.</p

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

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