Casualty Rates Research Articles

Understanding level of Chinese traffic signage among children aged 7–11 years: A pilot study

Road traffic injuries are one of the main causes of death among children. In recent years, the incidence and casualty rates of traffic accidents have increased year by year, which is a major challenge faced by safety organizations and governments in various countries, especially in developing countries. Among them, correct understanding of road traffic signs is a factor in reducing accidents. Therefore, identifying traffic signs has become an important indicator of road safety education. This study aimed to understand the understanding level of existing road traffic signs among Chinese children aged 7–11. 30 children aged 7–11 from Guangzhou participated in this study.The working title “Traffic Signage understanding Test questionnaire” was used as the tool for data collection. The questionnaire measured three aspects of child road users' understanding, including verbal label, action and consequences. Three experts in child psychology and cognition reviewed the questionnaire and validated its face and content. The survey results show that compared with actions and consequences, children have a lower understanding of verbal labels of signs, but overall, most children understand traffic signs incorrectly or do not understand them. This is statistically significant in reducing China's road traffic casualty rate. It is also recommended to design traffic signs that are suitable for children to understand.

Impact of Auxiliary Markings on Intersection Safety

The rapid growth of motorcycle vehicles coupled with inadequate traffic discipline contributes to an escalating rate of traffic accidents and casualties. This study investigates the efficacy of auxiliary road markings in enhancing traffic safety and intersection performance along Lieutenant Sutopo Street, Promoter Street, and Boulevard BSD East in South Tangerang, Indonesia. Employing the Traffic Conflict Technique (TCT), the research evaluates safety enhancements and service level alterations subsequent to the installation of road markings. Preliminary observations highlight significant safety concerns and traffic conflicts at the intersection. Consequently, auxiliary road markings are strategically installed to regulate driver behavior, enhance lane discipline, and improve visibility. Post-installation observations revealed a significant decrease in total vehicle conflicts, though the percentage of severe conflicts slightly increased. Initially rated as Level of Service (LOS) F with high delays, the LOS remained the same post-marking installation but with reduced delays. Further cycle time adjustments improved the LOS to E, indicating a substantial overall reduction in delays. The findings suggest that although auxiliary road markings effectively reduce traffic conflicts and improve intersection performance, additional measures are necessary to address the severity of these conflicts. The study offers valuable insights into the effectiveness of road safety interventions, supporting broader strategies for improving traffic management and safety in urban areas.

Operational Risk Assessment of Engineering Vehicles Considering Driver Characteristics

As vehicles with high accident and casualty rates within the road transportation system, engineering vehicles have been receiving much attention and emphasis in terms of safety. Accurate analyses and evaluations of risk factors in vehicle operation are imperative for enhancing the management level of engineering vehicles. This study explores the differences between various types of drivers by analyzing the driving characteristics of professional drivers. The evaluation index system is developed and quantified by integrating factors related to engineering vehicle drivers, road environment, and industry management. Additionally, the risk assessment model is developed using the error backpropagation algorithm. The optimal model is determined by comparing the number of nodes in different hidden layers, the activation function, and regularization optimization. The prediction accuracy of this model’s coefficient of determination is 0.912, indicating that the model has validity. This study is conducive to improving the safety level of engineering vehicle operation in order to reduce the rate of vehicle traffic accidents, the severity of accidents, and the consequences of losses. It also has practical application value in safeguarding social security.

Effect of 20 mph speed limits on traffic injuries in Edinburgh, UK: a natural experiment and modelling study

IntroductionThere is limited research evaluating 20 mph speed limit interventions, and long-term assessments are seldom conducted either globally or within the UK. This study evaluated the impact of the phased...

A Review of the Conservation Status of Shorebirds in Mongolia

We present the first comprehensive review of 62 migratory shorebird species in Mongolia, covering their ecological status, IUCN assessments at regional or national levels, population trends, threats, and conservation measures. Mongolia hosts a total of 62 shorebird species from twenty-two genera and seven families, with six species classified as globally threatened: the Critically Endangered Sociable Lapwing, the Endangered Siberian Sandplover, the Far Eastern Curlew, the Great Knot, and the Vulnerable Sharp-Tailed Sandpiper. Both national and global IUCN Red List assessments highlight Mongolia’s significance as a breeding and passage migrating site for globally threatened and Near-Threatened shorebirds. Species richness is higher in northern regions compared to the south, with the highest diversity found in areas with complex aquatic ecosystems. Global population trends indicate a decline in 61% of species, with 18% remaining stable, 16% of unknown status, and 5% increasing. At the national level, most species are stable (61%), 34% status is unknown, and 5% are decreasing. Anthropogenic-induced threats, including habitat loss and degradation, pollution, disturbance, and harvesting, pose significant risks to 69% of species, while natural disasters affect 11%. Additionally, 8% of species are impacted by accidental mortality and intrinsic factors, and 5% by changes in native species. Despite these threats, no specific conservation action plans exist for shorebirds in Mongolia. However, general conservation measures are in place, such as environmental and fauna protection laws, regulations on foreign trade in endangered species, and the establishment of protected areas under governmental resolutions. Mongolia also participates in international conventions like the Convention on Biological Diversity (CBD), Ramsar, and Migratory Species (CMS), and has developed national red lists, red books, and publications such as “A Summary Conservation Action Plan for Mongolian Birds”, “Important Bird Areas” to support conservation efforts.

ANALYSIS OF THE LEVEL OF OCCUPATIONAL INJURIES

Problem statement. The task of the research is evaluation the dynamics of changes in the level of injuries at work depending on the main causes of the accident. Technical, organizational, psychophysiological, technogenic, social, natural and environmental causes are closely interrelated and have a significant impact on the number of victims of accidents at the industrial plants, as well as on the number of victims of accidents with fatal consequences. The purpose of the article. The assessment of changes in industrial injuries at Ukrainian enterprises during 2010−2022. The establishing connection between social and industrial factors affecting the rate of industrial accidents. The creation of correlation-regression models for statistical evaluation and analysis of the influence of factor variables on the results of injury. Methodology. The use of descriptive statistics for the analysis of the dynamics of changes in the level of industrial injuries. Carrying out a correlation analysis to establish the density of connection between factor variables and resulting features. The use of regression-variance analysis to obtain coefficients of regression mathematical models and statistical indicators that explain the probability of significance of these coefficients. Calculation of the value of the relative error of the calculation data obtained according to mathematical models to confirm their adequacy. Scientific novelty. Multiple correlation-regression models have been developed that take into account the main causes of the accident as factor variables affecting the injury rate and the rate of fatal accidents. Practical significance. Mathematical models make estimate the impact of the main causes of accidents on the level of industrial injuries. The implementation of improved methods and means of safe activity at work is an important tool for correcting the cause-and-effect relationships of industrial injuries. Conclusions. The correlation-regression models were created to analyze the level of industrial injuries in Ukraine. The numerical calculations were carried out according to these models. The average values of the relative errors of the calculated data are 1.55 % and 6.08 %, which indicates the adequacy of the developed models.

Curcuminoids as Cell Signaling Pathway Modulators: A Potential Strategy for Cancer Prevention.

Despite substantial advancements in curative modern medicine in the last few decades, cancer risk and casualty rates have continued to mount globally. The exact reason for cancer's onset and progression is still unknown. However, skeletal and functional abnormalities in the genetic code are assumed to be the primary cause of cancer. Many lines of evidence reported that some medicinal plants can be utilized to curb cancer cell proliferation with a safe, fruitful, and cost-efficient perspective. Curcuminoid, isolated from Curcuma longa, have gotten a lot of focus due to their anticancer potential as they reduce tumor progression, invasion, and dissemination. Further, they modulated signal transduction routes like MAPK, PI3K/Akt/mTOR, JAK/STAT, and Wnt/β-catenin, etc., and triggered apoptosis as well as actuated autophagy in malignant cells without altering the normal cells, thus preventing cancer progression. Besides, Curcuminoid also regulate the function and expression of anti-tumor and carcinogenic miRNAs. Clinical studies also reported the therapeutic effect of Curcuminoid against various cancer through decreasing specific biomarkers like TNF-α, Bcl-2, COX-2, PGE2, VEGF, IκKβ, and various cytokines like IL-12p70, IL-10, IL-2, IFN-γ levels and increasing in p53 and Bax levels. Thus, in the present review, we abridged the modulation of several signal transduction routes by Curcuminoids in various malignancies, and its modulatory role in the initiation of tumor-suppressive miRNAs and suppression of the oncogenic miRNAs are explored. Additionally, various pharmacokinetic approaches have been projected to address the Curcuminoids bioavailability like the use of piperine as an adjuvant; nanotechnology- based Curcuminoids preparations utilizing Curcuminoids analogues are also discussed.

Forecasting fish mortality from water and air quality data using deep learning models.

The high rate of aquatic mortality incidents recorded in Taiwan and worldwide is creating an urgent demand for more accurate fish mortality prediction. Present study innovatively integrated air and water quality data to measure water quality degradation, and utilized deep learning methods to predict accidental fish mortality from the data. Keras library was used to build multilayer perceptron and long short-term memory models for training purposes, and the models' accuracies in fish mortality prediction were compared with that of the naïve Bayesian classifier. Environmental data from the 5 days before a fish mortality event proved to be the most important data for effective model training. Multilayer perceptron model reached an accuracy of 93.4%, with a loss function of 0.01, when meteorological and water quality data were jointly considered. It was found that meteorological conditions were not the sole contributors to fish mortality. Predicted fish mortality rate of 4.7% closely corresponded to the true number of fish mortality events during the study period, that is, four. A significant surge in fish mortality, from 20% to 50%, was noted when the river pollution index increased from 5.36 to 6.5. Moreover, the probability of fish mortality increased when the concentration of dissolved oxygen dropped below 2mg/L. To mitigate fish mortality, ammonia nitrogen concentrations should be capped at 5mg/L. Dissolved oxygen concentration was found to be the paramount factor influencing fish mortality, followed by the river pollution index and meteorological data. Results of the present study are expected to aid progress toward achieving the Sustainable Development Goals and to increase the profitability of water resources.

#1994 Analysis of dynamics of parameters of safety and effectiveness of rivaroxaban in patients with stage IV chronic kidney disease and atrial fibrillation

Abstract Background and Aims Research in the field of comorbidity of chronic kidney disease (CKD) and atrial fibrillation (AF) is becoming increasingly relevant, especially given the continuously increasing prevalence of this arrhythmia and its contribution to the risk of adverse events, the unity of factors in the development and progression of these diseases. This comorbidity is accompanied by an increased risk of thromboembolic complications (TEC) and atherothrombotic events, as well as the incidence of bleeding during anticoagulant therapy (ACT), which undoubtedly underlies the higher rates of cardiovascular and overall mortality in this cohort of patients. In this regard, we set the following goal: analysis of the dynamics and assessment of the safety parameters and effectiveness of the use of rivaroxaban in patients with a glomerular filtration rate (GFR) of 15–29 ml/min/1.73 m2 with non-valvular atrial fibrillation. Method The medical records of 12,026 patients were analyzed; non-valvular AF was diagnosed in 3,715 cases. 502 (15%) patients had stage IV CKD or a sustained decrease in GFR to 15–29 l/min/1.73 m2 during hospitalization. Of these, 109 (3%) patients met the inclusion criteria and were randomized 2:1 to rivaroxaban 15 mg (n = 73) or warfarin (n = 36). The average follow-up period was 18 months. Of the 109 included patients, 2 refused to participate in the study, contact with 9 was lost, 8 patients started taking another direct oral anticoagulant, CKD progressed to stage V in 4 patients, and antiplatelet agents were added in 6 cases. Results To assess the dynamics of changes in creatinine levels and GFR, mixed linear models were constructed, where the individual dynamics of each patient's indicators were selected as random effects, and time and drug intake were selected as fixed effects. A graphical interpretation of the dynamics and differences is presented in Figs 1 and 2. There was a significant improvement in the dynamics of creatinine and GFR in the rivaroxaban group compared to the warfarin group: while patients receiving rivaroxaban had an increase in GFR and a decrease in creatinine levels, patients taking warfarin, on the contrary, showed inverse dynamics in renal function indicators. It should be noted that during the study, a transition from stage IV CKD to stage III was recorded in 43% of patients in the rivaroxaban group and in 34% in the warfarin group (p = 0.26). There were no significant differences in the incidence of any acute cerebrovascular accident, myocardial infarction and all-cause mortality (warfarin—1.4%; 6.9%; 6.8% versus rivaroxaban—5.6%; 2.85; 8.3% (p = 0.25; 0.66; 0.78). Patients taking warfarin were significantly more likely to develop minor bleeding compared to rivaroxaban (36.9% versus 61.1% (p = 0. 01)) and all clinically significant bleeding (10.9% vs. 27.7% (p = 0.03)) according to the ISTH scale. In the warfarin group, TTR>70% was achieved in 94% of patients. All-cause readmission rates were 43% in the rivaroxaban group and 48% in the warfarin group (p = 0.57). Among these patients, 36.9% and 40.7% (respectively) were hospitalized for emergency reasons (p = 0.96). Conclusion In patients with atrial fibrillation and a low glomerular filtration rate (eGFR <30 ml/min/1.73 m2), it is reasonable to consider the use of rivaroxaban based on the current study showing a slower rate of decline in renal function, as well as favorable efficacy and safety profiles of rivaroxaban compared with warfarin in this group of patients.

Simulating multi-hazard event sets for life cycle consequence analysis

Abstract. In the context of natural hazard risk quantification and modeling of hazard interactions, some literature separates “Level I” (or occurrence) interactions from “Level II” (or consequence) interactions. The Level I interactions occur inherently due to the nature of the hazards, independently of the presence of physical assets. In such cases, one hazard event triggers or modifies the occurrence of another (e.g., flooding due to heavy rain, liquefaction and landslides triggered by an earthquake), thus creating a dependency between the features characterizing such hazard events. They differ from Level II interactions, which instead occur through impacts/consequences on physical assets/components and systems (e.g., accumulation of physical damage or social impacts due to earthquake sequences, landslides due to the earthquake-induced collapse of a retaining structure). Multi-hazard life cycle consequence (LCCon) analysis aims to quantify the consequences (e.g., repair costs, downtime, casualty rates) throughout a system’s service life and should account for both Level I and II interactions. The available literature generally considers Level I interactions – the focus of this study – mainly defining relevant taxonomies, often qualitatively, without providing a computational framework to simulate a sequence of hazard events incorporating the identified interrelations among them. This paper addresses this gap, proposing modeling approaches associated with different types of Level I interactions. It describes a simulation-based method for generating multi-hazard event sets (i.e., a sequence of hazard events and associated features throughout the system’s life cycle) based on the theory of competing Poisson processes. The proposed approach incorporates the different types of interactions in a sequential Monte Carlo sampling method. The method outputs multi-hazard event sets that can be integrated into LCCon frameworks to quantify interacting hazard consequences. An application incorporating several hazard interactions is presented to illustrate the potential of the proposed method.

Spatiotemporal Characteristics and Rainfall Thresholds of Geological Landslide Disasters in ASEAN Countries

Spatiotemporal Characteristics and Rainfall Thresholds of Geological Landslide Disasters in ASEAN Countries

Determinants of Road Traffic Crash Fatalities: A Case of Road Accidents in India, 2004–2018

The purpose of this study is to determine the factors that influence deaths in road accidents in India. The study uses panel econometric methodologies such as the fixed effects model, random effects model, and Hausman–Taylor instrumental variable technique to achieve this goal. Unobserved heterogeneity between states/union territories (UTs) and time is accounted for by time-fixed and state-fixed effects. Based on the panel data set from Indian states/UTs for the period 2004–2018, the study confirms previous results that motorisation, population, urbanisation and income level are all potential contributors to road accidents and fatalities. It also shows that spending on health care and law enforcement appears to help the Indian states minimise mortality in road traffic accidents. On the one hand, spending on health care facilities can provide health-related assistance to persons who have been involved in traffic accidents; on the other hand, spending on police increases the enforcement of rules, resulting in a reduction in traffic accidents. Thus, to lessen the economic and financial cost of road accidents in the country, the government should focus on boosting both per capita health expenditure and per capita police expenditure. JEL Codes: C23, C26, H51, I18, L92, O18, R41, R42

Development of an efficient hemostatic material based on cuttlefish ink nanoparticles loaded in cuttlebone biocomposite.

Traumatic hemorrhage is one of the main causes of mortality in civilian and military accidents. This study aimed to evaluate the effectiveness of cuttlefish bone (cuttlebone, CB) and CB loaded with cuttlefish ink (CB-CFI) nanoparticles for hemorrhage control. CB and CB-CFI were prepared and characterized using different methods. The hemostasis behavior of constructed biocomposites was investigated in vitro and in vivo using a rat model. Results showed that CFI nanoparticles (NPs) are uniformly dispersed throughout the CB surface. CB-CFI10 (10 mg CFI in 1.0 g of CB) showed the best blood clotting performance in both in vitro and in vivo tests. In vitro findings revealed that the blood clotting time of CB, CFI, and CB-CFI10 was found to be 275.4 ± 12.4 s, 229.9 ± 19.9 s, and 144.0 ± 17.5 s, respectively. The bleeding time in rat liver injury treated with CB, CFI, and CB-CFI10 was 158.1 ± 9.2 s, 114.0 ± 5.7 s, and 46.8 ± 2.7 s, respectively. CB-CFI10 composite resulted in more reduction of aPTT (11.31 ± 1.51 s) in comparison with CB (17.34 ± 2.12 s) and CFI (16.79 ± 1.46 s) (p < 0.05). Furthermore, CB and CB-CFI10 exhibited excellent hemocompatibility. The CB and CB-CFI did not show any cytotoxicity on human foreskin fibroblast (HFF) cells. The CB-CFI has a negative surface charge and may activate coagulation factors through direct contact with their components, including CaCO3, chitin, and CFI-NPs with blood. Thus, the superior hemostatic potential, low cost, abundant, simple, and time-saving preparation process make CB-CFI a very favorable hemostatic material for traumatic bleeding control in clinical applications.

Analysis of Fishing Vessel Accidents and Suggestions for Safety Policy in South Korea from 2018 to 2022

Commercial fishing, one of the most dangerous sectors globally and, particularly, in South Korea, faces fatal accident rates significantly exceeding other industries, and an urgent improvement in safety measures is necessary to reduce these numbers effectively. The main objective of this study is to analyse fishing vessel accidents in South Korea and present the direction of safety policy for fishing vessels based on the lessons learnt from previous accidents, and, ultimately, to contribute to reduce fishing vessel accidents. For this purpose, we have analysed the marine accident data from the last five years provided by the Korea Maritime Safety Tribunal (KMST), the statistical yearbook of oceans and fisheries provided by the Ministry of Oceans and Fisheries (MOF), and the statistical survey of marine fisheries provided by the Korean Statistical Information Service (KOSIS), using both quantitative and qualitative approaches. After thorough review and analysis of the accident data, we have proposed seven suggestions for the direction of future safety policy for fishing vessels in South Korea: adopt international safety benchmarks, focus on occupational and collision accidents, tailor safety measures to vessel size and age, enhance lookout practices to prevent collisions, implement comprehensive strategies to mitigate human errors, and address communication issues among Korean and international crews.

Analysis of road traffic accidents and casualties associated with electric bikes and bicycles in Guangzhou, China: A retrospective descriptive analysis

IntroductionElectric bicycles (e-bikes) and bicycles in large Chinese cities have recently witnessed substantial growth in ridership. According to related accident trends, this study analyzed characteristics and spatial distribution in the period when e-bike-related accidents rapidly increased to propose priority measures to reduce accident casualties. MethodsFor e-bike- and bicycle-related accident data from the Guangzhou Public Security Traffic Management Integrated System, linear regression was used to examine the trends in the number of accidents and age-adjusted road traffic casualties from 2011 to 2021. Then, for the period when e-bike-related accidents rapidly increased, descriptive statistics were computed regarding rider characteristics, illegal behaviors, road types, collision objects and their accident liability. One-way analysis of variance (ANOVA) followed by Bonferroni's multiple comparison test. P < 0.05 was considered statistically significant. Finally, the density distribution of accidents was presented, and Moran's I (MI) was used for assessing spatial autocorrelation. Hotspots were identified based on an optimized hotspot analysis tool. ResultsBetween 2011 and 2021, the number of accidents and casualty rate (per 100,000 population) increased for e-bikes but decreased for bicycles. After 2018, e-bike-related accidents increased rapidly, and bicycle-related accidents plateaued. Accident hotspots were concentrated in central city areas and suburban areas close to the former. Three-quarters of accidents occurred in motorized vehicle lanes. Most occurred on roads without physically segregated nonmotorized vehicle lanes. More than three-fifths of the accidents involved motor vehicles with at least four wheels. The prevalence (per 100 people) of casualties among e-bike rider victims and cyclist victims accounted for 92.0 % and 96.5 %, respectively. A total of 71.6 % of e-bike-related accidents involved migrant workers. Riding in motorized vehicle lanes was the most common illegal behavior. ConclusionsAlthough e-bike-related and bicycle-related accidents presented similar characteristics, the sharp increase in e-bike-related accidents requires attention. To improve e-bike safety, governments should develop appropriate countermeasures to prevent riders from riding on motorways, such as improving road infrastructure, adjusting the driver's license system and addressing priority control areas.

Temporal evolution of traffic accident mortality rates in the State of São Paulo, Brazil, in the period 2009-2019

Introduction: external causes are considered a public health problem in the world, associated with socioeconomic, political, and cultural diversities. Among them, traffic accidents stand out.&#x0D; Objective: to assess the trend in traffic accident mortality for each sex in the state of São Paulo, Brazil.&#x0D; Methods: ecological study of time series analyses. Secondary data referring to deaths from traffic accidents by place of residence in the state of São Paulo, Brazil, in the period 2009 - 2019 were used.&#x0D; Results: the total mortality rate in 2019 for females is 39.80 and for males, 185.85, with a reduction of 4.96% per year for both sexes. The trends in mortality from traffic accidents for females proved to be stationary for motorcyclists, motorized tricycle, pickup truck, heavy transport vehicle, and bus occupants at the end of the study period. For males, the same pattern was observed, but only for truck, heavy transport vehicle, and bus occupants. In the rest of the vehicles, the mortality rate showed decreasing trends.&#x0D; Conclusion: the highest number of deaths occurred among males (81.38%), aged between 20 and 49 years (58.70%), single (49.12%), on public roads (46.73%) and hospitals (45.64%). Females have more stationary trends than males.

Epidemic characteristics and trend analysis of major injuries deaths among children and adolescents in Jiangsu Province from 2012 to 2021

Objective: To understand the situation and epidemic characteristics of injury deaths among children aged 5 to 24 years in Jiangsu Province from 2012 to 2021 and the trend of annual changes. Methods: The main injury mortality data of children and adolescents was collected, and the crude and standardized mortality rates of road traffic accidents, drowning, suicide, and accidental falls among children and adolescents over a decade and the annual average percentage of change (AAPC) were calculated. The main injury mortality characteristics and trends of children and adolescents of different age groups and genders were analyzed. Results: The total number of injury deaths among 5 to 24 adolescents in Jiangsu Province was 16 052, with a standardized mortality rate of 9.58/100 000. There was no significant trend in the overall standardized mortality rate of injuries (AAPC=-3.450%, P=0.055). The standardized mortality rate of road traffic injuries among children and adolescents showed a decreasing trend over the past decade, with statistical significance (AAPC=-9.406%, P<0.001). The standardized suicide mortality rate showed an upward trend over the past decade, with statistical significance (AAPC=9.000%, P=0.001). The overall injury mortality rate showed an upward trend with age. Suicide rates in males and females were on the rise and both have statistical significance (AAPC=9.420% and AAPC=9.607%, both P<0.05). The standardized mortality rates of female traffic accidents, drowning, and male traffic accidents showed a decreasing trend and were statistically significant (AAPC for female traffic accidents=-7.364%, AAPC for female drowning=-5.352%, and AAPC for male traffic accidents=-10.242%, all P<0.05). The standardized mortality rate of urban and rural traffic accidents showed a decreasing trend and was statistically significant(AAPC=-7.899% and AAPC=-9.421%, both P<0.001). The standardized suicide mortality rate showed an upward trend and statistical significance (AAPC=11.009% and AAPC=7.528%, both P<0.05). Conclusions: The overall injury situation of children and adolescents in Jiangsu Province improved in the past decade from 2012 to 2021, but the suicide mortality rate was on the rise. It is necessary to focus on the mental health issues of this age group and to strengthen the prevention and control of suicide among children and adolescents, in Jiangsu.

Impact of the revised Unified Federal Traffic Law on crash casualties in Abu Dhabi Emirate: Interrupted time series analysis

In recent years, different developing countries have shown growing interest in enacting road safety policies. However, research on their effectiveness in reducing crashes, injuries, and deaths is limited. This study evaluated the impact of traffic safety measures introduced in the revised Unified Federal Traffic Law in the Emirates of Abu Dhabi (AD) and the United Arab Emirates (UAE) on crash and casualty reductions. In particular, it examines the 2009 enactment of the black-point system. To the best of our knowledge, this is the first study to consider this topic in a desert or UAE context. Box–Tiao intervention analysis was used to examine monthly AD police data from January 2007 to December 2013. The analysis utilized a dynamic programming approach to test for structural changes in the AD casualty data and empirically confirm the presence and exact location of breakpoints (intervention time). The interrupted time-series analysis results indicated a significant drop in casualty rates post-intervention. Since the intervention, the AD has witnessed a slow downward trend in the crash casualty rate. These findings confirm the effectiveness of the implemented safety measures. They provide quality information to authorities regarding implementing and adopting life-saving interventions and road safety management.

Transcriptomic Analysis of lncRNAs and their mRNA Networks in Cerebral Ischemia in Young and Aged Mice.

Ischemic stroke comprises 75% of all strokes and it is associated with a great frailty and casualty rate. Certain data suggest multiple long non-coding Ribonucleic Acids (lncRNAs) assist the transcriptional, post-transcriptional, and epigenetic regulation of genes expressed in the CNS (Central Nervous System). However, these studies generally focus on differences in the expression patterns of lncRNAs and Messenger Ribonucleic Acids (mRNAs) in tissue samples before and after cerebral ischemic injury, ignoring the effects of age. In this study, differentially expressed lncRNA analysis was performed based on RNAseq data from the transcriptomic analysis of murine brain microglia related to cerebral ischemia injury in mice at different ages (10 weeks and 18 months). The results showed that the number of downregulate differentially expressed genes (DEGs) in aged mice was 37 less than in young mice. Among them, lncRNA Gm-15987, RP24- 80F7.5, XLOC_379730, XLOC_379726 were significantly down-regulated. Then, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that these specific lncRNAs were mainly related to inflammation. Based on the lncRNA/mRNA coexpression network, the mRNA co-expressed with lncRNA was mainly enriched in pathways, such as immune system progression, immune response, cell adhesion, B cell activation, and T cell differentiation. Our results indicate that the downregulation of lncRNA, such as Gm-15987, RP24- 80F7.5, XLOC_379730, and XLOC_379726 in aged mice may attenuate microglial-induced inflammation via the progress of immune system progression immune response, cell adhesion, B cell activation, and T cell differentiation. The reported lncRNAs and their target mRNA during this pathology have potentially key regulatory functions in the cerebral ischemia in aged mice while being important for diagnosing and treating cerebral ischemia in the elderly.

Analysis of Road Safety Based on Road Type on National Roads in Bali Province

The Province of Bali is one of the most popular tourist destinations in Indonesia which accounts for 40% of tourist visits in Indonesia. Apart from being a tourist spot, Bali also often hosts various state events. As a destination that is often in the public and world spotlight, it is important for Bali to have safer road infrastructure. However, based on data in the field, there are still many accidents that occur on National Roads in Bali and even tend to increase. If this is not handled, the impact will also be a problem in various aspects. This research aims to analyze road safety based on the type of road using the accident rate and fatality rate method on National Road sections in Bali Province. Based on the results of data analysis, this research shows the results of data accident rate or the highest accident rate is 160 incidents per 1 million vehicles per year on the Kosamba – Angentelu Bali road section. For data analysis of fatality rate or death rate, the highest is 245 per 1 million vehicles per year on Jalan A.Yani (Amlapura) Bali. And the type of road that has the highest accident rate and fatality rate number is the 2/2 UD road type.