AXM-Net: Cross-Modal Context Sharing Attention Network for Person Re-ID

Cross-modal person re-identification (Re-ID) is critical for modern video surveillance systems. The key challenge is to align inter-modality representations according to semantic information present for a person and ignore background information. In this work, we present AXM-Net, a novel CNN based architecture designed for learning semantically aligned visual and textual representations. The underlying building block consists of multiple streams of feature maps coming from visual and textual modalities and a novel learnable context sharing semantic alignment network. We also propose complementary intra modal attention learning mechanisms to focus on more fine-grained local details in the features along with a cross-modal affinity loss for robust feature matching. Our design is unique in its ability to implicitly learn feature alignments from data. The entire AXM-Net can be trained in an end-to-end manner. We report results on both person search and cross-modal Re-ID tasks. Extensive experimentation validates the proposed framework and demonstrates its superiority by outperforming the current state-of-the-art methods by a significant margin

The Impact of Taxpayer Perception on Tax Compliance moderated by adoption of e-tax system

The underlying study focuses on investigating that if the impact of taxpayer perceptions have on tax compliance with moderating impact of adopting of e-tax system in Pakistan where Fairness perception, tax knowledge and tax complexity are taken as Independent variables, implementation of e-tax system as a moderating variable and tax compliance as dependent variable. Following a deductive approach, this research study has collected data through self-administered questionnaire from a sample of 163 subjects selected on the basis of convenience sampling technique. The data were analyzed through SPSS and multiple regression technique has been applied on the data. The outcomes suggest that fairness perceptions and tax compliance have direct relationship. The findings of the study suggest that the moderation relationship between the variable named adoption of e-tax system and tax perceptions and tax compliance is insignificant. Besides this, tax knowledge and tax complexity does not have a significant positive impact on tax compliance in Pakistan

The Impact of Taxpayer Perception on Tax Compliance moderated by adoption of e-tax system

The underlying study focuses on investigating that if the impact of taxpayer perceptions have on tax compliance with moderating impact of adopting of e-tax system in Pakistan where Fairness perception, tax knowledge and tax complexity are taken as Independent variables, implementation of e-tax system as a moderating variable and tax compliance as dependent variable. Following a deductive approach, this research study has collected data through self-administered questionnaire from a sample of 163 subjects selected on the basis of convenience sampling technique. The data were analyzed through SPSS and multiple regression technique has been applied on the data. The outcomes suggest that fairness perceptions and tax compliance have direct relationship. The findings of the study suggest that the moderation relationship between the variable named adoption of e-tax system and tax perceptions and tax compliance is insignificant. Besides this, tax knowledge and tax complexity does not have a significant positive impact on tax compliance in Pakistan

A Survey of Routing Issues and Associated Protocols in Underwater Wireless Sensor Networks

Underwater Wireless Sensor Network is newly emerging wireless technology in which small size sensors with limited energy, limited memory and bandwidth are deployed in deep sea water and various monitoring operation like tactical surveillance, environmental monitoring and data collection are performed through these tiny sensor. Underwater Wireless Sensor Network is used for exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance system and unmanned underwater vehicles. Sensor node consist of small memory, central processing unit and antenna. Underwater network is much different from terrestrial sensor network as radio waves cannot be used in Underwater Wireless Sensor Network. Acoustic channels are used for communication in deep sea water. Acoustic Signals carries with itself many limitation. Such as Limited bandwidth, higher end to end delay, network path loss, higher propagation delay and dynamic topology. Usually these limitation results in higher energy consumption with less number of packets delivered. The main aim now a days is to operate sensor node having smaller battery for a longer time in network. This survey has discussed the state of the art Localization based and Localization free routing protocols. Routing associated issues in the area of Underwater Wireless Sensor Network has also been discussed

Sleep Disturbances in Healthcare Professionals During the Covid-19 Pandemic

Objectives: To determine the incidence of sleep disturbances, including insomnia in healthcare professionals dealing with COVID-19 patients. Methodology: A cross-sectional study was conducted at inpatient infectious disease units, emergency department and ICU (for COVID-19 patients), at the Pakistan Institute of Medical Sciences (PIMS) from February 2022 to April 2022. All the individuals participating in the study were healthcare professionals. Insomnia Severity Index was used for the questionnaire. The scores of the surveyed subjects were calculated and the characteristic demographics of the subjects were analyzed. Results: An upward trend in the incidence of poor sleep quality was noted among the healthcare professionals who participated in this study. Out of 160 healthcare professionals, 93(58.1%) of the population was females, while 67(41.9%) were males. The majority of participants (p<0.05) were between the ages of 20 and 30 years, followed by 31 to 40 years and 41 to 50 years. A significant proportion of the population (p<0.05) belonged to the unmarried group, followed by the married, separated, and divorced with a percentage of 60.6, 36.2, 2.5 and 0.6%, respectively. Moreover, 84.4% (135/160) of healthcare professionals (p<0.05) had a previous history of sleep disorders. Insomnia Severity Index (ISI) score system was used to analyze the intensity of sleep disorders and insomnia in the affected persons and it was found that most of the participants were diagnosed with subthreshold insomnia (38.8%). Conclusion: The study elucidated that there was a significantly higher incidence of sleep disturbances and insomnia, in healthcare professionals working in Covid-19 care units

Proteinase 3-antineutrophil cytoplasmic antibody positive necrotizing vasculitis induced by ciprofloxacin

Granulomatosis with polyangiitis (Wegener’s), microscopic polyangitis, and eosinophilic granulomatosis with polyangiitis are commonly grouped together as antineutrophil cytoplasmic antibody (ANCA)-positive vasculitides. Many drugs and infections can induce serologic positivity for ANCA, while a few can precipitate overt ANCA-positive vasculitis. Although fluoroquinolones have been reported to cause ANCA-negative leukocytoclastic vasculitis (LCV), fluoroquinolones are not known to induce proteinase 3-ANCA (PR3-ANCA)-positive vasculitis. Here, we present the case of a middle-aged man who developed severe headache, purpura on legs and numbness in hands and feet after taking ofloxacin for 5 days. Subsequently, he was diagnosed with ANCA-negative LCV and treated with steroids and immunosuppressants. Thirteen years later, he inadvertently received intravenous ciprofloxacin and developed severe headache and epistaxis. Serologic testing at that time revealed elevated titers of PR3-ANCA. Biopsy of nasal septum revealed a mixed mononuclear and polymorphonuclear infiltrate without evidence of granuloma formation. He was treated with steroids and immunosuppressive therapy. Over the next several years, he remained stable with residual hearing loss and nasal septal deformity. This case provides the first evidence for a PR3-ANCA-positive necrotizing vasculitis induced by ciprofloxacin

Comments on "An Efficient and Provably Secure Authenticated Key Agreement Protocol for Fog-Based Vehicular Ad-Hoc Networks"

Vehicle ad-hoc networks (VANETs) have experienced rapid growth due to the advancement of cloud computing, IoT technologies, and intelligent transportation systems (ITS). Vehicles are required to have enhanced storage capacity, onboard computing capabilities, improved sensing power, and communication systems. To address real-world demands like low latency, affordable storage, and mobility in VANET deployments, There have been efforts to integrate fog computing with VANETs in a practical implementation. "An Efficient and Provably Secure Authenticated Key Agreement Protocol for Fog-Based Vehicular Ad-Hoc Networks" was proposed by Ma et al. (IEEE Internet of Things Journal, pp 8065–8075, 10.1109/JIOT.2019.2902840). According to their claims, the use of their secure authentication technique can help prevent security threats. However, after careful investigation, we discovered that their authentication protocol is susceptible to vehicle user impersonation attacks and also does not provide vehicle anonymity. In light of this, we have provided some recommendations to address the current flaws in the protocol developed by Ma et al. Copyright: © 2023 IEE