Design on Experience Virtual Tour System

2014 ◽  
Vol 536-537 ◽  
pp. 603-606
Author(s):  
Yu Mei Liu ◽  
Yu Dan Dong ◽  
Jing Wu
Keyword(s):  
Real Time ◽  
Collision Detection ◽  
Detection Methods ◽  
Model Structure ◽  
Object Model ◽  
Tourist Attractions ◽  
Virtual Tour ◽  
Modeling Techniques

According to the characteristics and needs of virtual scenic roaming system, select the appropriate modeling techniques. By using the modeling platform scenic entity object model structure, and then build virtual tourist attractions, we propose hierarchical collision detection methods. This method actually meets the accuracy requirements under the premise, greatly reducing the number and complexity of collision detection; effectively improve the system in real time.

Detection by real-time quaking-induced conversion (RT-QuIC), ELISA, and IHC of chronic wasting disease prion in lymph nodes from Pennsylvania white-tailed deer with specific PRNP genotypes

2021 ◽  
pp. 104063872110214
Author(s):  
Deepanker Tewari ◽  
David Steward ◽  
Melinda Fasnacht ◽  
Julia Livengood
Keyword(s):  
Real Time ◽  
Disease Susceptibility ◽  
Chronic Wasting Disease ◽  
Low Frequency ◽  
The United States ◽  
Detection Methods ◽  
Spongiform Encephalopathy ◽  
Wasting Disease ◽  
Diagnostic Laboratory ◽  
Highly Sensitive

Chronic wasting disease (CWD) is a prion-mediated, transmissible disease of cervids, including deer ( Odocoileus spp.), which is characterized by spongiform encephalopathy and death of the prion-infected animals. Official surveillance in the United States using immunohistochemistry (IHC) and ELISA entails the laborious collection of lymphoid and/or brainstem tissue after death. New, highly sensitive prion detection methods, such as real-time quaking-induced conversion (RT-QuIC), have shown promise in detecting abnormal prions from both antemortem and postmortem specimens. We compared RT-QuIC with ELISA and IHC for CWD detection utilizing deer retropharyngeal lymph node (RLN) tissues in a diagnostic laboratory setting. The RLNs were collected postmortem from hunter-harvested animals. RT-QuIC showed 100% sensitivity and specificity for 50 deer RLN (35 positive by both IHC and ELISA, 15 negative) included in our study. All deer were also genotyped for PRNP polymorphism. Most deer were homozygous at codons 95, 96, 116, and 226 (QQ/GG/AA/QQ genotype, with frequency 0.86), which are the codons implicated in disease susceptibility. Heterozygosity was noticed in Pennsylvania deer, albeit at a very low frequency, for codons 95GS (0.06) and 96QH (0.08), but deer with these genotypes were still found to be CWD prion-infected.

scholarly journals Recent Advances on Early Detection of Heat Strain in Dairy Cows Using Animal-Based Indicators: A Review

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 980
Author(s):  
Hang Shu ◽  
Wensheng Wang ◽  
Leifeng Guo ◽  
Jérôme Bindelle
Keyword(s):  
Heat Stress ◽  
Early Detection ◽  
Dairy Cows ◽  
Real Time ◽  
Dairy Farms ◽  
Time Measurement ◽  
Heat Strain ◽  
Detection Methods ◽  
Livestock Farming ◽  
Real Time Measurement

In pursuit of precision livestock farming, the real-time measurement for heat strain-related data has been more and more valued. Efforts have been made recently to use more sensitive physiological indicators with the hope to better inform decision-making in heat abatement in dairy farms. To get an insight into the early detection of heat strain in dairy cows, the present review focuses on the recent efforts developing early detection methods of heat strain in dairy cows based on body temperatures and respiratory dynamics. For every candidate animal-based indicator, state-of-the-art measurement methods and existing thresholds were summarized. Body surface temperature and respiration rate were concluded to be the best early indicators of heat strain due to their high feasibility of measurement and sensitivity to heat stress. Future studies should customize heat strain thresholds according to different internal and external factors that have an impact on the sensitivity to heat stress. Wearable devices are most promising to achieve real-time measurement in practical dairy farms. Combined with internet of things technologies, a comprehensive strategy based on both animal- and environment-based indicators is expected to increase the precision of early detection of heat strain in dairy cows.

scholarly journals Separating damage from environmental effects affecting civil structures for near real-time damage detection

2017 ◽  
Vol 17 (4) ◽  
pp. 850-868 ◽  
Author(s):  
William Soo Lon Wah ◽  
Yung-Tsang Chen ◽  
Gethin Wyn Roberts ◽  
Ahmed Elamin
Keyword(s):  
Damage Detection ◽  
Real Time ◽  
Environmental Effects ◽  
Environmental Conditions ◽  
Principal Component ◽  
Detection Methods ◽  
Real Time Monitoring ◽  
Civil Structures ◽  
Data Set ◽  
Wide Range

Analyzing changes in vibration properties (e.g. natural frequencies) of structures as a result of damage has been heavily used by researchers for damage detection of civil structures. These changes, however, are not only caused by damage of the structural components, but they are also affected by the varying environmental conditions the structures are faced with, such as the temperature change, which limits the use of most damage detection methods presented in the literature that did not account for these effects. In this article, a damage detection method capable of distinguishing between the effects of damage and of the changing environmental conditions affecting damage sensitivity features is proposed. This method eliminates the need to form the baseline of the undamaged structure using damage sensitivity features obtained from a wide range of environmental conditions, as conventionally has been done, and utilizes features from two extreme and opposite environmental conditions as baselines. To allow near real-time monitoring, subsequent measurements are added one at a time to the baseline to create new data sets. Principal component analysis is then introduced for processing each data set so that patterns can be extracted and damage can be distinguished from environmental effects. The proposed method is tested using a two-dimensional truss structure and validated using measurements from the Z24 Bridge which was monitored for nearly a year, with damage scenarios applied to it near the end of the monitoring period. The results demonstrate the robustness of the proposed method for damage detection under changing environmental conditions. The method also works despite the nonlinear effects produced by environmental conditions on damage sensitivity features. Moreover, since each measurement is allowed to be analyzed one at a time, near real-time monitoring is possible. Damage progression can also be given from the method which makes it advantageous for damage evolution monitoring.

Fast collision detection methods for joint surfaces

2009 ◽  
Vol 42 (2) ◽  
pp. 91-99 ◽  
Author(s):  
Ehsan Arbabi ◽  
Ronan Boulic ◽  
Daniel Thalmann
Keyword(s):  
Collision Detection ◽  
Detection Methods ◽  
Joint Surfaces ◽  
Fast Collision

scholarly journals Ability of Real-time PCR in diagnose Differentiation Various Forms of Cutaneous Leishmaniasis: A Comparative Study with Histopathology

2019 ◽  
Author(s):  
Maryam Fekri Soofi Abadi ◽  
Meisam Fekri ◽  
alireza moradabadi ◽  
Reza Vahidi ◽  
Simin Shamsi Meymandi ◽  
...  
Keyword(s):  
Cutaneous Leishmaniasis ◽  
Real Time ◽  
Real Time Pcr ◽  
Relative Number ◽  
Parasite Load ◽  
Detection Methods ◽  
Tissue Samples ◽  
Microscopic Evaluation ◽  
Histopathological Evaluation ◽  
Histopathological Studies

Abstract objective: Histopathological studies suggest that parasite load is different between acute and chronic forms of cutaneous leishmaniasis (CL). However, highly sensitive detection methods are still needed to distinguish different forms of leishmaniasis. In the present study, we developed a quantitative real-time polymerase chain reaction (PCR) to detect and quantify leishmania tropica parasites in paraffin-embedded tissue samples. Results: The ability of real-time PCR for leishmania detection was higher than histopathological evaluation. The parasite loads were quantified by qPCR assay and microscopic evaluation were highly correlated ( r =0.598; P <0.001). Among patients, the parasite load was inversely correlated with disease duration (acute CL lesions had very higher parasite loads than chronic CL lesions), but there was no difference in parasite load according to the patients’ age and sex as well as location of the lesions. In contrast to Ridley scoring system (P<0.001), there were no statistically significant differences in the relative number of parasites among the lupoid and non-lupoid forms of chronic lesions in real-time PCR (P=0.549), which indicates the superiority of histopathological evaluation in CL forms differentiation.

scholarly journals Real-Time Back Surface Landmark Determination Using a Time-of-Flight Camera

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6425
Author(s):  
Daniel Ledwoń ◽  
Marta Danch-Wierzchowska ◽  
Marcin Bugdol ◽  
Karol Bibrowicz ◽  
Tomasz Szurmik ◽  
...  
Keyword(s):  
Real Time ◽  
Average Distance ◽  
Time Of Flight ◽  
Point Clouds ◽  
Diagnostic Methods ◽  
Detection Methods ◽  
Back Surface ◽  
Anatomical Landmarks ◽  
Real Time Analysis ◽  
Similar Accuracy

Postural disorders, their prevention, and therapies are still growing modern problems. The currently used diagnostic methods are questionable due to the exposure to side effects (radiological methods) as well as being time-consuming and subjective (manual methods). Although the computer-aided diagnosis of posture disorders is well developed, there is still the need to improve existing solutions, search for new measurement methods, and create new algorithms for data processing. Based on point clouds from a Time-of-Flight camera, the presented method allows a non-contact, real-time detection of anatomical landmarks on the subject’s back and, thus, an objective determination of trunk surface metrics. Based on a comparison of the obtained results with the evaluation of three independent experts, the accuracy of the obtained results was confirmed. The average distance between the expert indications and method results for all landmarks was 27.73 mm. A direct comparison showed that the compared differences were statically significantly different; however, the effect was negligible. Compared with other automatic anatomical landmark detection methods, ours has a similar accuracy with the possibility of real-time analysis. The advantages of the presented method are non-invasiveness, non-contact, and the possibility of continuous observation, also during exercise. The proposed solution is another step in the general trend of objectivization in physiotherapeutic diagnostics.

scholarly journals RT-PCR for COVID-19: Diagnosis Made Easy

BioMedica ◽  
2020 ◽  
Vol 36 (2S) ◽  
pp. 115-120
Author(s):  
Osheen Sajjad ◽  
Aiman Shahzad ◽  
Saqib Mahmood
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Real Time ◽  
Detection Method ◽  
Current Knowledge ◽  
Detection Methods ◽  
Rt Pcr ◽  
Corona Virus ◽  
Positive Sense ◽  
Affected Person ◽  
Sampling Procedures

<p>Coronavirus disease COVID-19, caused by Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV2), is highly contagious and has been a pandemic since March 2020. The SARS-CoV-2 is an enveloped, single-stranded, positive-sense RNA viruswhich spreadsthrough air droplets by sneezing and coughing from affected person. The diagnosis of the COVID-19 remains a challenge to the scientists since the genome of the SARS-CoV-2 was novel and varying. Various studies have reported the validated procedures for sampling and the detection method of SARS-CoV-2. This mini-review provides a brief introduction of the SARS-CoV-2 features and the current knowledge for the recommended COVID19 detection methods including sampling procedures and real time SARS-CoV-2 genome detection.</p>

scholarly journals Non-denaturing bisulfite treatment and single-molecule real-time sequencing reveals d-loop footprints, their length, position and distribution

2020 ◽  
Author(s):  
Shanaya Shital Shah ◽  
Stella Hartono ◽  
Frédéric Chédin ◽  
Wolf-Dietrich Heyer
Keyword(s):  
Real Time ◽  
Single Molecule ◽  
Detection Methods ◽  
Loop Formation ◽  
Bisulfite Treatment ◽  
Loop Detection ◽  
D Loop ◽  
Donor Choice ◽  
The Relationship

ABSTRACTDisplacement loops (D-loops) are signature intermediates formed during homologous recombination. Numerous factors regulate D-loop formation and disruption, thereby influencing crucial aspects of DNA repair, including donor choice and the possibility of a crossover outcome. While D-loop detection methods exist, it is currently unfeasible to assess the relationship between D-loop editors and D-loop characteristics such as length and position. Here, we developed a novel in vitro assay to characterize the length and position of individual D-loop with base-pair resolution and deep coverage, while also revealing their distribution in a population. Non-denaturing bisulfite treatment modifies the cytosines on the displaced strand of the D-loop to uracil, leaving a permanent signature for the displaced strand. Subsequent single-molecule real-time sequencing uncovers the cytosine conversion patch as a D-loop footprint, revealing D-loop characteristics at unprecedented resolution. The D-loop Mapping Assay is widely applicable with different substrates and donor types and can be used to study factors that influence D-loop properties.

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