Charge Manipulation Attacks Against Smart Electric Vehicle Charging Stations and Deep Learning-based Detection Mechanisms

The widespread deployment of "smart" electric vehicle charging stations (EVCSs) will be a key step toward achieving green transportation. The connectivity features of smart EVCSs can be utilized to schedule EV charging operations while respecting user preferences, thus avoiding synchronous charging from a large number of customers and relieving grid congestion. However, the communication and connectivity requirements involved in smart charging raise cybersecurity concerns. In this work, we investigate charge manipulation attacks (CMAs) against EV charging, in which an attacker manipulates the information exchanged during smart charging operations. The objective of CMAs is to shift the EV aggregator's demand across different times of the day. The proposed CMAs can bypass existing protection mechanisms in EV communication protocols. We quantify the impact of CMAs on the EV aggregator's economic profit by modeling their participation in the day-ahead (DA) and real-time (RT) electricity markets. Finally, we propose an unsupervised deep learning-based mechanism to detect CMAs by monitoring the parameters involved in EV charging. We extensively analyze the attack impact and the efficiency of the proposed detection on real-world EV charging datasets. The results highlight the vulnerabilities of smart charging operations and the need for a monitoring mechanism to detect malicious CMAs

Sundarban mangroves: diversity, ecosystem services and climate change impacts

The Bengal delta coast harboring the famous Sundarban mangroves is extremely vulnerable to climate change. Already, salinity intrusion, increasing cyclones and anomalies in rainfall, and temperature, are causing many social and livelihood problems. However, our knowledge on the diversified climate change impacts on Sundarban ecosystems services, providing immense benefits, including foods, shelters, livelihood, and health amenities, is very limited. Therefore, this article has systematically reviewed the major functional aspects, and highlights on biodiversity, ecosystem dynamics, and services of the Sunderban mangroves, with respect to variations in climatic factors. The mangrove ecosystems are highly productive in terms of forest biomass, and nutrient contribution, especially through detritus-based food webs, to support rich biodiversity in the wetlands and adjacent estuaries. Sundarban mangroves also play vital role in atmospheric CO2 sequestration, sediment trapping and nutrient recycling. Sea level rise will engulf a huge portion of the mangroves, while the associated salinity increase is posing immense threats to biodiversity and economic losses. Climate-mediated changes in riverine discharge, tides, temperature, rainfall and evaporation will determine the wetland nutrient variations, influencing the physiological and ecological processes, thus biodiversity and productivity of Sundarban mangroves. Hydrological changes in wetland ecosystems through increased salinity and cyclones will lower the food security, and also induce human vulnerabilities to waterborne diseases. Scientific investigations producing high resolution data to identify Sundarban‟s multidimensional vulnerabilities to various climatic regimes are essential. Sustainable plans and actions are required integrating conservation and climate change adaptation strategies, including promotion of alternative livelihoods. Thus, interdisciplinary approaches are required to address the future climatic disasters, and better protection of invaluable ecosystem services of the Sunderban mangroves.Fil: Neogi, Sucharit Basu. Coastal Development Partnership; Bangladesh. Osaka Prefecture University; Japón. Leibniz Center for Tropical Marine Ecology GmbH; AlemaniaFil: Dey, Mouri. University of Chittagong; BangladeshFil: Lutful Kabir, S. M.. Bangladesh Agricultural University; BangladeshFil: Masum, Syed Jahangir H.. Coastal Development Partnership; BangladeshFil: Kopprio, Germán Adolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Leibniz Center for Tropical Marine Ecology GmbH; AlemaniaFil: Yamasaki, Shinji. Osaka Prefecture University; JapónFil: Lara, Ruben Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentin

Perception of SME Growth Constraints in Bangladesh: An Empirical Examination from Institutional Perspective

This article wrestles with the perception of concern institutions[1]/organisations for developing small and medium enterprise (SMEs) development of Bangladesh. The findings include the need for perceptual as well as conceptual development in the present practice of enterprise/entrepreneurship development of Bangladesh. The summary and conclusion emphasised the importance of comprehensive training for the concerned organisation for successful SME sector. Recommendations that could help sustain emerging as well as existing small enterprises and other concerned organisations.   Keywords: Small Enterprise, Perception, Growth Determinants, and Frame of Reference [1] Institution refers in this study as “it is mechanism that sets humanly devised rules in a society that shape human interaction. In consequence they structure incentives and reward in human exchange, whether political, social or economic. Institutional change shapes the way societies evolve through time and hence is the key to understanding historical change” (see more in North 1990:p.3).

EIMERIOSIS IN POULTRY OF RAWALPINDI/ISLAMABAD AREA

This study was designed to determine the prevalence of eimeriosis in poultry and identify potential risk factors for its spread in Rawalpindi/Islamabad area of Pakistan. Of 359 gut samples (suspected for harbouring eimeriosis) examined, 258 (71.86%) were found infected. Four species of Eimeria (E. maxima, 34.10%, E. tenella, 30.62%, E. mitis, 13.95% and E. necatrix, 7.75%) were recorded. The prevalence of eimeriosis was highest in the month of September (89.74%), while lowest during June (28.57%). The disease was more common at the farms where the litter was wet and not managed properly

EPIDEMIOLOGICAL INVESTIGATIONS OF A PESTE DES PETITS RUMINANTS (PPR) OUTBREAK IN AFGHAN SHEEP IN PAKISTAN

Epidemiological and virological investigations were carried out during an outbreak of Peste des petits ruminants (PPR) in Afghan (Bulkhi) sheep in Pakistan. The overall morbidity, mortality and case fatality rates were 41.0, 1.2 and 3.0%, respectively. The epidemic curve was plotted and the values for basic reproductive number (R0) and herd immunity threshold (HIT) for the affected flock were estimated to be 6.85 and 85.4%, respectively. The morbid material analysis by immuno-capture ELISA (Ic-ELISA) and haemagglutination assay (HA) revealed the presence of PPR virus. The PPR virus was isolated and identified through cytopathic effects, Ic-ELISA and transmission electron microscopy (TEM)

Provider perspectives on sexual health services used by Bangladeshi women with mHealth digital approach : a qualitative study

Cases of sexually transmitted infections (STIs) are underreported in Bangladesh. Women in general suffer from poor sexual health outcomes due to a lack of access to sexual health services. mHealth, a digital approach to STI services, is an easier and cheaper way to disseminate health information in Bangladesh. However, women have less autonomy in accessing STI services and it is important to learn if, how and/or why women use mHealth. A qualitative study was conducted with 26 medical doctors to explore their perceptions of the mHealth STI services used by Bangladeshi women. Themes were grouped under four categories: (1) provider perceptions of mHealth for sexual healthcare; (2) the health literacy of women clients; (3) cost and maintaining timeliness in providing mHealth services; (4) mHealth service accessibility. Data suggest that mHealth can play a significant role in improving the awareness and utilization of STI services in Bangladeshi women. Successful opportunities for STI service expansion using mHealth were identified, depending on the quality and type of service delivery options, awareness of challenges related to health literacy framework, cost, accessibility to information and availability of culturally competent health experts to disseminate health information. We identify the need to increase access and use of mHealth services for sexual health, as it provides an innovative platform to bridge the health communication gaps in sexual health for Bangladeshi women

Charging demand of Plug-in Electric Vehicles: Forecasting travel behavior based on a novel Rough Artificial Neural Network approach

The market penetration of Plug-in Electric Vehicles (PEVs) is escalating due to their energy saving and environmental benefits. In order to address PEVs impact on the electric networks, the aggregators need to accurately predict the PEV Travel Behavior (PEV-TB) since the addition of a great number of PEVs to the current distribution network poses serious challenges to the power system. Forecasting PEV-TB is critical because of the high degree of uncertainties in drivers’ behavior. Existing studies mostly simplified the PEV-TB by mapping travel behavior from conventional vehicles. This could cause bias in power estimation considering the differences in PEV-TB because of charging pattern which consequently could bungle economic analysis of aggregators. In this study, to forecast PEV-TB an artificial intelligence-based method -feedforward and recurrent Artificial Neural Networks (ANN) with Levenberg Marquardt (LM) training method based on Rough structure - is developed. The method is based on historical data including arrival time, departure time and trip length. In this study, the correlation among arrival time, departure time and trip length is also considered. The forecasted PEV-TB is then compared with Monte Carlo Simulation (MCS) which is the main benchmarking method in this field. The results comparison depicted the robustness of the proposed methodology. The proposed method reduces the aggregators’ financial loss approximately by 16 $/PEV per year compared to the conventional methods. The findings underline the importance of applying more accurate methods to forecast PEV-TB to gain the most benefit of vehicle electrification in the years to come.Peer ReviewedPostprint (author's final draft

Incidence and outcome of thyroglossal duct cyst

Background: Thyroglossal duct cyst (TGDC) is the cyst in the cervical midline that arises from the embryonic remnant of the thryroglossal duct. It is most common congenital abnormality in the head and neck region which may present at any age particularly occur in children. The definitive treatment is surgical excision of the cyst and tract. Methods: It is a cohort retrospective study of 26 cases in the Department of Otorhinolaryngology and Head-Neck surgery, Comilla Medical College Hospital, Bangladesh from 01 July 2016 to 31 June 2019. Results: Incidence of TGDC was 0.02% out of total outdoor patient and 0.94% in total indoor routine operation. All patient was operated by Sistrunk’s procedure and recurrent 2 (7.69%) cases were operated by modified or extended Sistrunk’s procedure without complications afterwards. Of them female was 14 (53.85%), male was 12 (46.15%), children were 22 (84.61%), adult were 4 (15.35%). Infrahyoid was 21 (80.76%), surahyoid was 5 (19.24%). The patient presented as painful abscess were 10 (38.46%) and fistula were 3(11.51%), painless cyst was 8 (30.77%) and fistula were 5 (19.24%). Conclusions: TGDC is common congenital anomaly. It has a various type of presenting feature. Sistrunk’s procedure is gold standard surgical treatment procedure. But recurrence cases need modified or extended Sistrunk’s procedure to minimize the postoperative complication and manage the patient’s hope and requirements

Ten-year evaluation of an immersive global health medical school course using a four-principle equity framework

IntroductionResponding to a growing need for health care professionals equipped with global expertise in local and international settings, an innovative global health medical school course was developed that combines rigorous didactics, mentorship, cross-cultural training, and international experiences to build students’ cultural humility and clinical skills.MethodsRecognizing that global health service trips and courses can unintentionally exacerbate inequities and power imbalances, this course was evaluated using the four principles of Melby et al.’s Guidelines for Implementing Short-term Experiences in Global Health. These principles include skill building in cross-cultural effectiveness and cultural humility, bidirectional participatory relationships, local capacity building, and long-term sustainability.ResultsThe course was developed with long-standing global partners and includes a capstone project that is intended to strengthen local capacity with benefits to the site and student. Student course evaluations, supervisors’ observations of students, and supervisor feedback forms indicate that this course achieves these principles. Furthermore, there is evidence that students developed cultural humility, acquired foundational science knowledge and relevant skills, and changed their medical practice.DiscussionThis approach could serve as a model for institutions seeking to enhance training in global health for medical students