Road crossing behaviors of pedestrians in two different virtual reality environments

About 20% of all people killed on roads are pedestrians. Virtual Reality (VR) simulators can be used to train street crossing and improve pedestrian safety, but the use of this technology has some limitations that need to be addressed. Common issues are related to the ecological validity of the experience because of poor immersion, movement limitations, and lack of visual and audio effects. In addition, these simulators are often very expensive. To address this, we developed a pedestrian street-crossing simulation that can be delivered through two mediums, a low-cost CAVE (Cave Automatic Virtual Environment) or a Head-Mounted Display (HMD). These two environments provide a high immersive experience, simple architecture, and a lower cost of deployment. Following an independent samples design, 20 participants were randomly allocated to the CAVE or HMD group and performed a street-crossing task. We measured the percentage of collisions with vehicles and presence through the Witmer and Singer Presence Questionnaire. Our results show that the percentage of collisions was significantly higher in the HMD group. Presence scores were high for both groups, but not significantly different. These results can be used to inform the design of VR simulators for safe street-crossing.info:eu-repo/semantics/publishedVersio

One Pot Synthesis and Characterization of Mono and Di-Substituted Azo-Containing Amides

Azo-containing amides and their derivatives were synthesized by the reaction of 4-(phenyldiazenyl)aniline with different substituted benzoyl chlorides. The characterization of these synthesized compounds were based on their IR, 1H NMR spectra and elemental analysis with excellent yields

Diuretic Activity of Trianthema portulacastrum Crude Extract in Albino Rats

Purpose: To evaluate the diuretic effect and acute toxicity of the crude aqueous extract of Trianthema portulacastrum in a rat model.Method: Albino rats were divided into five groups. Control group received normal saline (10 mg/kg), reference group received furosemide (10 mg/kg) and test groups were given different doses of crude extract (10, 30 and 50 mg/kg) by intraperitoneal route. Urine was collected and the total volume of urine excreted was expressed as ml/6 hr/100 g body weight. Diuretic index and Lipschitz values were also calculated to make comparison with normal saline and furosemide treated groups, respectively.Results: Significant diuretic (p < 0.001), kaliuretic (p < 0.001) and natriuretic (p < 0.001) effects were observed in treated groups in a dose-dependent manner. Urinary pH remained mostly unchanged during the course of the study. Diuretic index showed good diuretic activity of the crude extract. Lipschitz values indicated that the crude extract at the dose of 50 mg/kg exhibited 79 % diuretic activity compared with that of the reference, furosemide. No lethal effects were observed among albino mice even at the high dose of 3000 mg/kg.Conclusion: The extract of Trianthema portulacastrum, particularly, at the dose of 50 mg/kg significantly increased the urinary volume and concentration of urinary electrolytes with no signs of toxicity and therefore, is a potential diuretic. Further studies, however, are required to isolate the active constituents.Keywords: Trianthema portulacastrum, Saliuretic, Natriuretic, Lipschitz value, Diuretic index, Na+/K+ ratio

A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption

© 2013 IEEE. The majority of previous research on new technology acceptance has been conducted with single-step Structural Equation Modeling (SEM) based methods. The primary purpose of the study is to enhance the new technology acceptance based research with the Artificial Neural Network (ANN) method to enable more precise and in-depth research results as compared to the single-step SEM method. This study measures the relation between technology readiness dimension (optimism, innovativeness, discomfort, insecurity) and the technology acceptance (perceived ease of use and perceived usefulness) - and the intention to use cryptocurrency, such as bitcoin. The contribution of this study include the use of a multi-analytical approach by combining Partial Least Squares- Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis. First, PLS-SEM was applied to assess which factor has significant influence toward intention to use cryptocurrency. Second, an ANN was employed to rank the relative influence of the significant predictor variables attained from the PLS-SEM. The findings of the two-step PLS-SEM and ANN approach confirm that the use of ANN further verifies the results obtained by the PLS-SEM analysis. Also, ANN is capable of modelling complex linear and non-linear relationships with high predictive accuracy compared to SEM methods. Also, an Importance-Performance Map Analysis (IPMA) of the PLS-SEM results provides a more specific understanding of each factor's importance-performance

Role of magnetic resonance imaging in differentiating tuberculous spondylitis from pyogenic spondylitis in a TB endemic area

Background: Infectious spondylitis is an infection by a specific organism of one or more components of spine, namely the vertebra, intervertebral discs, paraspinal soft tissues, and epidural space. Magnetic resonance imaging (MRI) of the spine is gold standard in imaging to assess anatomical abnormalities of the spine and surrounding structures. Methods: This cross-sectional observational study was conducted in the Department of Radiology Narayan Medical College and Hospital Sasaram, Bihar (India), where tuberculosis is endemic from July 2022 to September 2023. It included 40 patients, purposively sampled, adhering to strict inclusion and exclusion criteria. Sensitivity, specificity and accuracy of MRI in discriminating tuberculous spondylitis from pyogenic spondylitis were compared against histopathological diagnosis and differences in MRI findings between these conditions were obtained. Results: In this study, 93% patients with tuberculous spondylitis had an enhanced signal with well-defined margins. Meanwhile, pyogenic spondylitis provided an ill-defined margins in 72.7% patients. Most of the patients 82.7% with tuberculous spondylitis showed thin and smooth wall paravertebral abscesses, while pyogenic spondylitis showed an irregular and thick wall paravertebral abscesses in 45% patients. A total of 72.4% patients with tuberculous spondylitis indicated involvement of ≥3 vertebral bodies. 100% patients with pyogenic spondylitis showed an abnormal contrast enhancement of the intervertebral discs. It was identified that tuberculous spondylitis had sensitivity, specificity, and accuracy values of 100%, 84.6%, and 95.2% respectively. For pyogenic spondylitis, the corresponding values were 84.6%, 96.6%, and 93%. Conclusions: MRI was accurate for differentiation of tuberculous spondylitis from pyogenic spondylitis. A well-defined paraspinal abnormal signal, a thin and smooth abscess wall, subligamentous spread to three or more vertebral levels, and less likely involvement of intervertebral discs were more suggestive of tuberculous spondylitis than pyogenic spondylitis

Application of data science for controlling energy crises: A case study of Pakistan

© 2019 Association for Computing Machinery. Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that‟s why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI

Phytochemical Screening and Hepatoprotective Effect of Alhagi maurorum Boiss (Leguminosae) Against Paracetamol-Induced Hepatotoxicity in Rabbits

Purpose: To evaluate the hepatoprotective activity of aqueous-ethanol (30:70 %) extract of Alhagi maurorum Boiss. (Leguminosae) whole plant against paracetamol-induced liver injury in experimental rabbits.Methods: Aqueous-ethanol extract of Alhagi maurorum at doses of 250 mg/kg and 500 mg/kg body weight, p.o., was administered for 7 days in paracetamol (2 gm/kg, s.c.) intoxicated rabbits and compared with silymarine (50 mg/kg, p.o.)-treated rabbits. Biochemical parameters, alkaline phosphatase (ALP), serum glutamic oxalacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT) and total bilirubin (TB) levels were recorded to investigate the degree of improvement in the conditions of the rabbits. The liver was removed, washed with normal saline and preserved in 10 % formalin and used in histopathological studies of hepatic architecture by microscopy. Phytochemical screening of the extract was also carried out.Results: The levels of biochemical parameters were increased in paracetamol intoxicated rabbits when compared with the normal group. The extract, at doses of 250 and 500 mg/kg, exhibited significant (p < 0.001) reduction in biochemical parameters (ALP, SGOT, SGPT and TB). Hepatoprotective activity was also confirmed by histopathological findings. Furthermore, the phytochemical profile of the extract revealed the presence of tannins, alkaloids, saponins and flavonoids.Conclusion: These results suggest that Alhagi maurorum extract possesses significant hepatoprotective effect against paracetamol-induced hepatotoxicity and this may be due to the presence of flavonoids and tannins.Keywords: Alhagi maurorum, Hepatoprotective, Paracetamol, Silymarin, Histopatholog

Three dimensional point cloud compression and decompression using polynomials of degree one

© 2019 by the authors. The availability of cheap depth range sensors has increased the use of an enormous amount of 3D information in hand-held and head-mounted devices. This has directed a large research community to optimize point cloud storage requirements by preserving the original structure of data with an acceptable attenuation rate. Point cloud compression algorithms were developed to occupy less storage space by focusing on features such as color, texture, and geometric information. In this work, we propose a novel lossy point cloud compression and decompression algorithm that optimizes storage space requirements by preserving geometric information of the scene. Segmentation is performed by using a region growing segmentation algorithm. The points under the boundary of the surfaces are discarded that can be recovered through the polynomial equations of degree one in the decompression phase. We have compared the proposed technique with existing techniques using publicly available datasets for indoor architectural scenes. The results show that the proposed novel technique outperformed all the techniques for compression rate and RMSE within an acceptable time scale

Consistent association of fungus Fusarium mangiferae Britz with mango malformation disease in Pakistan

Mango malformation disease (MMD) deforms the natural shape of panicles and shoots. The disease incitant is of great concern due to its complexity and mode of infection. Recently, a new species Fusarium mangiferae Britz was confirmed as the etiological agent of MMD in African and Asian clade. There was a need to confirm the fungus in other Asian countries. We investigated the association of F. mangiferae with malformed branches of five exotic and five indigenous cultivars of Mangifera indica L. in Pakistan. F. mangiferae proved to be the dominant fungus hosting majority of the malformed tissues. Among the indigenous cultivars, maximum tissue infection of 96.66% was found in cultivar Anwar Rataul and minimum was found in cultivar Late Chaunsa (48.33%). In exotic ones, maximum and minimum infections of 97.33 and 70.67% were noted in the cultivars Sensation and Pop, respectively. Light and transmission electron microscopy proved helpful in investigating the morphological matrix and ultrastructure of the propagules of fungus F. mangiferae.Key words: Mangifera indica, microconidium, Pakistan, tissue assay, transmission electron microscopy