Information fusion-based cybersecurity threat detection for intelligent transportation system

Intelligent Transportation Systems (ITS) are sophisticated systems that leverage various technologies to increase the safety, efficiency, and sustainability of transportation. By relying on wireless communication and data collected from diverse sensors, ITS is vulnerable to cybersecurity threats. With the increasing number of attacks on ITS worldwide, detecting and addressing cybersecurity threats has become critically important. This need will only intensify with the impending arrival of autonomous vehicles. One of the primary challenges is identifying critical ITS assets that require protection and understanding the vulnerabilities that cyber attackers can exploit. Additionally, creating a standard profile for ITS is challenging due to the dynamic traffic pattern, which exhibits changes in the movement of vehicles over time. To address these challenges, this paper proposes an information fusion-based cybersecurity threat detection method. Specifically, we employ the Kalman filter for noise reduction, Dempster-Shafer decision theory and Shannon’s entropy for assessing the probabilities of traffic conditions being normal, intruded, and uncertain. We utilised Simulation of Urban Mobility (SUMO) to simulate the Melbourne CBD map and historical traffic data from the Victorian transport authority. Our simulation results reveal that information fusion with three sensor data is more effective in detecting normal traffic conditions. On the other hand, for detecting anomalies, information fusion with two sensor data is more efficient

Nematode diversity and community structure assessment in different vegetations of Jammu division of J & K, India

Nematodes are critical for soil processes, and changes in nematode community structure have the potential to have a significant impact on ecosystem functioning. As a result, fluctuations in nematode diversity and community structure can be used to ascertain the functional biodiversity of a soil. The aim of the present study was to evaluate the effect of different vegetation and soil pH and N on nematode structure and diversity from ten different sites (Jammu, Kathua, Samba, Udhampur, Reasi, Ramban, Rajouri, Poonch, Doda, Kishtwar) of the Jammu division. The highest absolute frequency of plant parasitic nematodes (91-100%) was observed in subtropical forests in Ramban, temperate forests in Doda, while the highest absolute frequency of bacterivorous nematodes (84-87%) was observed in crop soil in Reasi and Jammu. Soil pH had a detrimental effect on nematodes; bacteriovores were abundant at low pH, and plant parasitic at higher pH. The total nitrogen content also increased in all nematode trophic groups except omnivores. Ecological indices such as the enrichment index (EI), channel index (CI) and maturity index (MI) values indicated that crop soil with organic management is more nematode-friendly and has a better soil health status than other soil ecosystems. Nematode community structure indices may be helpful as soil monitoring tools and for assessing ecosystem sustainability and biodiversity

Hierarchal object-oriented models for management of narrow passageways

Narrow passageways are a significant source of traffic congestion and delay in transportation networks. With traffic volumes expected to increase significantly in the foreseeable future, the effective management of these passageways is needed to mitigate the undesirable impact of these bottlenecks on transportation system safety, performance and cost. In an effort to address the significant challenges associated with the analysis, design, and implementation of appropriate management operations for narrow passageways, an object-based model for the management of narrow passageways in the transportation network is developed. The object model is developed in two steps. The first step identifies high-level management functionality, objects, and associated data/information sources that are common to all narrow passageway applications. In the second step, functionality of the object model is customized to the specific needs of the narrow passageway application domain (e.g., waterways and work zones).peer-reviewe

Evaluasi implementasi Gerakan Literasi Sekolah (GLS)

Kemampuan literasi memiliki peran sangat penting untuk memenuhi kebutuhan hidup sehari-hari. Literasi merupakan kemampuan dasar untuk memahami dan menguasai segala jenis pengetahuan, keterampilan dan kecakapan lainnya. Tanpa kemampuan literasi, orang akan sulit untuk memahami dan menguasai segala jenis informasi. Apalagi dalam era digital saat ini, berbagai macam informasi mengalir sangat deras, begitu mudah diperoleh dan terus menerus berkembang. Mengingat sangat pentingnya penguasaan literasi, negara-negara di dunia melalui World Economic Forum atau Forum Ekonomi Dunia telah berkomitmen bahwa kemampuan literasi merupakan salah satu tuntutan keterampilan yang sangat dibutuhkan dalam abad 21. Dalam upaya meningkatkan kemampuan literasi, berbagai program dan kegiatan terus diupayakan, baik di sekolah, keluarga maupun di masyarakat. Salah satu program yang menyasar sekolah-sekolah adalah Gerakan Literasi Sekolah (GLS). Program ini dikelola oleh Ditjen Pendidikan Dasara dan Menengah (Dikdasmen). Untuk menyukseskan GLS, kegiatan-kegiatan telah banyak dilakukan oleh Ditjen Dikdasmen dengan sasaran semua satuan pendidikan, dari mulai SD, SMP, SMA, dan SMK. Untuk mengetahui sejauhmana capaian atau keterlaksanakan GLS di sekolah-sekolah, maka Puslitjakdikbud melakukan kajian evaluasi keterlaksanaan GLS. Sasaran sekolah dalam kajian pada tahun 2017 ini baru pada tingkat satuan pendidikan SD dan SMP, lebih khusus lagi SD dan SMP yang memiliki kategori sekolah rujukan dan bukan rujukan. Evaluasi ini bertujuan selain untuk mengetahui capaian keterlaksanaan GLS, juga untuk memberikan rekomendasi dalam upaya memperbaiki pengelolaan dan pelaksanaan GLS ke depan

Differential Host Immune Responses to Epidemic and Endemic Strains of Shigella dysenteriae Type 1

Shigella dysenteriae type 1 causes devastating epidemics in developing countries with high case-fatality rates in all age-groups. The aim of the study was to compare host immune responses to epidemic (T2218) and endemic strains of S. dysenteriae type 1. Shigellacidal activity of serum from rabbits immunized with epidemic or endemic strains, S. dysenteriae type 1-infected patients, and healthy adult controls from Shigella endemic and non-endemic regions was measured. Immunogenic cross-reactivity of antibodies against Shigella antigens was evaluated by Western blot analysis. Oxidative burst and phagocytic responses of monocytes and neutrophils to selected S. dysenteriae type 1 strains were assessed by flow cytometry. Rabbit antisera against epidemic strain were less effective in killing heterologous bacteria compared to endemic antisera (p=0.0002). Patients showed an increased serum shigellacidal response after two weeks of onset of diarrhoea compared to the acute stage (3-4 days after onset) against their respective homologous strains; the response against T2218 and heterologous endemic S. dysenteriae type 1 strains was not significant. The serum shigellacidal response against all the S. dysenteriae type 1 strains was similar among healthy controls from endemic and non-endemic regions and was comparable with the acute stage response by patients. Compared to endemic strains of S. dysenteriae type 1, T2218 was significantly resistant to phagocytosis by both monocytes and neutrophils. No obvious differences were obtained in the induction of oxidative burst activity and cathelicidin-mediated killing. Cross-reactivity of antibody against antigens present in the epidemic and endemic strains showed some differences in protein/peptide complexity and intensity by Western blot analysis. In summary, epidemic T2218 strain was more resistant to antibody-mediated defenses, namely phagocytosis and shigellacidal activity, compared to endemic S. dysenteriae type 1 strains. Part of this variation may be attributed to the differential complexity of protein/peptide antigens

Advances in Nematode Identification: A Journey from Fundamentals to Evolutionary Aspects

Nematodes are non-segmented roundworms evenly distributed with various habitats ranging to approximately every ecological extremity. These are the least studied organisms despite being the most diversified group. Nematodes are the most critical equilibrium-maintaining factors, having implications on the yield and health of plants as well as well-being of animals. However, taxonomic knowledge about nematodes is scarce. As a result of the lack of precise taxonomic features, nematode taxonomy remains uncertain. Morphology-based identification has proved inefficacious in identifying and exploring the diversity of nematodes, as there are insufficient morphological variations. Different molecular and new evolving methodologies have been employed to augment morphology-based approaches and bypass these difficulties with varying effectiveness. These identification techniques vary from molecular-based targeting DNA or protein-based targeting amino acid sequences to methods for image processing. High-throughput approaches such as next-generation sequencing have also been added to this league. These alternative approaches have helped to classify nematodes and enhanced the base for increased diversity and phylogeny of nematodes, thus helping to formulate increasingly more nematode bases for use as model organisms to study different hot topics about human well-being. Here, we discuss all the methods of nematode identification as an essential shift from classical morphometric studies to the most important modern-day and molecular approaches for their identification. Classification varies from DNA/protein-based methods to the use of new emerging methods. However, the priority of the method relies on the quality, quantity, and availability of nematode resources and down-streaming applications. This paper reviews all currently offered methods for the detection of nematodes and known/unknown and cryptic or sibling species, emphasizing modern-day methods and budding molecular techniques

IoT-based emergency vehicle services in intelligent transportation system

Emergency Management System (EMS) is an important component of Intelligent transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the location of a reported incident. However, the increasing traffic in urban areas, especially during peak hours, results in the delayed arrival of EVs in many cases, which ultimately leads to higher fatality rates, increased property damage, and higher road congestion. Existing literature addressed this issue by giving higher priority to EVs while traveling to an incident place by changing traffic signals (e.g., making the signals green) on their travel path. A few works have also attempted to find the best route for an EV using traffic information (e.g., number of vehicles, flow rate, and clearance time) at the beginning of the journey. However, these works did not consider congestion or disruption faced by other non-emergency vehicles adjacent to the EV travel path. The selected travel paths are also static and do not consider changing traffic parameters while EVs are en route. To address these issues, this article proposes an Unmanned Aerial Vehicle (UAV) guided priority-based incident management system to assist EVs in obtaining a better clearance time in intersections and thus achieve a lower response time. The proposed model also considers disruption faced by other surrounding non-emergency vehicles adjacent to the EVs’ travel path and selects an optimal solution by controlling the traffic signal phase time to ensure that EVs can reach the incident place on time while causing minimal disruption to other on-road vehicles. Simulation results indicate that the proposed model achieves an 8% lower response time for EVs while the clearance time surrounding the incident place is improved by 12%

Species-wide Whole Genome Sequencing Reveals Historical Global Spread And Recent Local Persistence In Shigella Flexneri

Shigella flexneri is the most common cause of bacterial dysentery in low-income countries. Despite this, S. flexneri remains largely unexplored from a genomic standpoint and is still described using a vocabulary based on serotyping reactions developed over half-a-century ago. Here we combine whole genome sequencing with geographical and temporal data to examine the natural history of the species. Our analysis subdivides S. flexneri into seven phylogenetic groups (PGs); each containing two-or-more serotypes and characterised by distinct virulence gene complement and geographic range. Within the S. flexneri PGs we identify geographically restricted sub-lineages that appear to have persistently colonised regions for many decades to over 100 years. Although we found abundant evidence of antimicrobial resistance (AMR) determinant acquisition, our dataset shows no evidence of subsequent intercontinental spread of antimicrobial resistant strains. The pattern of colonisation and AMR gene acquisition suggest that S. flexneri has a distinct life-cycle involving local persistence. DOI: 10.7554/eLife.07335.0014Wellcome Trust [098051]Wellcome Trust/NISCHR ISSF project at Cardiff UniversityMRC [MR/L015080/1]Cardiff University - Cardiff University Research Infrastructure Fund)Institut PasteurInstitut de Veille SanitaireFrench Government 'Investissement d'Avenir' program (Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence) [ANR-10-LABX-62-IBEID

Differential Host Immune Responses to Epidemic and Endemic Strains of Shigella dysenteriae Type 1

Shigella dysenteriae type 1 causes devastating epidemics in developing countries with high case-fatality rates in all age-groups. The aim of the study was to compare host immune responses to epidemic (T2218) and endemic strains of S. dysenteriae type 1. Shigellacidal activity of serum from rabbits immunized with epidemic or endemic strains, S. dysenteriae type 1-infected patients, and healthy adult controls from Shigellaendemic and non-endemic regions was measured. Immunogenic cross-reactivity of antibodies against Shigella antigens was evaluated by Western blot analysis. Oxidative burst and phagocytic responses of monocytes and neutrophils to selected S. dysenteriae type 1 strains were assessed by flow cytometry. Rabbit antisera against epidemic strain were less effective in killing heterologous bacteria compared to endemic antisera (p=0.0002). Patients showed an increased serum shigellacidal response after two weeks of onset of diarrhoea compared to the acute stage (3-4 days after onset) against their respective homologous strains; the response against T2218 and heterologous endemic S. dysenteriae type 1 strains was not significant. The serum shigellacidal response against all the S. dysenteriae type 1 strains was similar among healthy controls from endemic and non-endemic regions and was comparable with the acute stage response by patients. Compared to endemic strains of S. dysenteriae type 1, T2218 was significantly resistant to phagocytosis by both monocytes and neutrophils. No obvious differences were obtained in the induction of oxidative burst activity and cathelicidin-mediated killing. Cross-reactivity of antibody against antigens present in the epidemic and endemic strains showed some differences in protein/peptide complexity and intensity by Western blot analysis. In summary, epidemic T2218 strain was more resistant to antibody-mediated defenses, namely phagocytosis and shigellacidal activity, compared to endemic S. dysenteriae type 1 strains. Part of this variation may be attributed to the differential complexity of protein/peptide antigens

Clonality, virulence and antimicrobial resistance of enteroaggregative Escherichia coli from Bangladesh

Enteroaggregative E. coli (EAEC) is a global cause of gastrointestinal infection yet little is known about the virulence or antimicrobial resistance (AMR) of EAEC in regions of the world where diarrhoeal disease is most common. In Bangladesh diarrhoeal disease is one of the leading causes of mortality and extensive case control studies have linked specific EAEC clonal complexes with pathogenic potential