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"Missing persons Experiments."
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The golden compass : the graphic novel
Lyra Belacqua is content to run wild among the scholars of Jordan College, with her dµmon familiar always by her side. But the arrival of her fearsome uncle, Lord Asriel, draws her to the heart of a terrible struggle -- a struggle born of Gobblers and stolen children, and a mysterious substance known as Dust. As she hurtles toward danger in the cold far North, Lyra never suspects the shocking truth: she alone is destined to win -- or to lose -- this more-than-mortal battle.
Book
The EQ-5D-5L valuation study in Korea
Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Results Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. Conclusions The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states.
Journal Article
The golden compass : the graphic novel
\"Lyra Belacqua and her daemon familiar set out to prevent her best friend and other kidnapped children from becoming the subjects of gruesome experiments in the Far North\"-- Provided by publisher.
BOOK
Hydroinformatic tools and their potential in the search for missing persons in rivers
This research proposes a methodological approach to search floating bodies or floating body parts in rivers using hydroinformatic tools. These tools may allow possible search locations and potential release sites to be determined. The approach draws from hydrometric field information, two-dimensional (2D) hydrodynamic modeling, particle tracking (PT) models, and large-scale particle image velocimetry (LSPIV). This methodology was applied to a case study of the La Miel river in Colombia, where existing reports of deceased persons are available. A series of hydraulic accidents have been defined to represent the hydrodynamic and transport processes that occur in such situations. The results indicate that potential search locations, namely places where human floating bodies or floating body parts may be found, are principally on the left and right shores of recirculation systems.
Journal Article
The golden compass
Accompanied by her daemon, Lyra Belacqua sets out to prevent her best friend and other kidnapped children from becoming the subject of gruesome experiments in the Far North. Living among scholars in the hallowed halls of Jordan College, Lyra hears rumors of a magical dust that supposedly possesses powers that can unite whole universes, and begins a difficult and dangerous journey to find it.
Book
Search efforts and face recognition: the role of expectations of encounter and within-person variability in prospective person memory
People perform poorly at sighting missing and wanted persons in simulated searches due to attention and face recognition failures. We manipulated participants’ expectations of encountering a target person and the within-person variability of the targets’ photographs studied in a laboratory-based and a field-based prospective person memory task. We hypothesized that within-person variability and expectations of encounter would impact prospective person memory performance, and that expectations would interact with within-person variability to mitigate the effect of variability. Surprisingly, low within-person variability resulted in better performance on the search task than high within-person variability in
Experiment one
possibly due to the study–test images being rated as more similar in the low variability condition. We found the expected effect of high variability producing more hits for the target whose study–test images were equally similar across variability conditions. There was no effect of variability in
Experiment two
. Expectations affected performance only in the field-based study (
Experiment two
), possibly because performance is typically poor in field-based studies. Our research demonstrates some nuance to the effect of within-person variability on search performance and extends existing research demonstrating expectations affect search performance.
Journal Article
Fade to Blue : a novel
Eighteen-year-old Goth Sophie Blue, sensing that something is awry in her small town, begins to piece together the connections between her missing father, a scientific researcher at a local laboratory, and her high school's football star, Kenny.
Book
Can plants indicate where a corpse is buried? Effects of buried animal tissues on plant chemistry: Preliminary study
•Effects of decomposition of buried animal tissues on vegetation is documented.•Decomposition of buried animal tissues benefits plant growth.•The decomposition of buried remains affects the chemical composition of vegetation.•Identification of environmental fingerprints left by buried corpse is discussed.
The bodies of murder or accident victims may be concealed below ground to cover up the crime by the perpetrator. During decomposition, nutrient-rich substances that may affect the surrounding environment enter the soil. The logical effect of local changes in soil biogeochemistry should be an impact on the vegetation occurring in a cadaver decomposition island (CDI). Nitrogen, phosphorus, and potassium compounds, which are common plant fertilizers, have received most of the attention in studies using animal remains, but many other elements such as trace metals enter the environment during decomposition of carcass. Furthermore, the decomposition of carcasses can locally affect environmental parameters such as humidity, soil pH, and oxygenation. This study examined whether animal tissues buried in soil could affect vegetation. The experiment was conducted in an open space in southern Poland, using limbs from Sus scrofa domestica. Four test plots were set up: I – clean soil (control plot), II – control plot + urine (potential nitrogen source), III – animal tissues buried at 20 cm depth and IV – animal tissues buried at 10 cm depth. Seedlings of Begonia semperflorens were planted in all four plots. After the end of one full growing season, plant measurements were obtained, and soil and plant material samples were taken. The presence of limbs, regardless of depth, had a very positive effect on plant development. Chemical analyses were performed to determine which compounds could have affected the vegetation. In addition to the standard analyses for nitrogen, phosphorus or potassium, levels of copper, iron, manganese, zinc and magnesium were also determined. The elemental content in the soil and plant material from different plots varied. Interestingly, despite the more intense vegetation, lower levels of elements were found in the soil and leaves of plants from the experimental than from the control plots. In many cases, there were clear differences in the contents of elements between the experimental plots. This could indicate, for example, different phases of animal tissue decomposition, which could have been caused by the different depths at which the remains were buried. As concentrations of elements in soil and plants can change significantly over time, material will need to be collected at regular intervals in any future studies. However, it is still unknown what exactly is responsible for the enhanced plant growth within a CDI and whether there are markers that could be helpful in identifying the burial sites of carcasses on the basis of comprehensive vegetation analysis.
Journal Article
Using visual imagery to manipulate recognition memory for faces whose appearance has changed
Real-world recognition requires our memory system to accommodate perceptual changes that occur after encoding; for example, eyewitnesses must recognize perpetrators across changes in appearance. However, it is not clear how this
flexible recognition
ability can be improved: Standard encoding strategies not only tend to be ineffective, but can in fact be detrimental for recognizing people across appearance changes. Given the effectiveness of visual imagery in creating and modifying memory representations, we examined whether counterfactual visual imagery could be used to manipulate flexible recognition by simulating an increase in encoding–retrieval similarity. Across two experiments, participants (
n
= 317) encoded faces with neutral expressions and were cued to imagine the faces with either happy or angry expressions. During later retrieval, participants saw lineups of old and new faces with either happy or angry expressions, and selected the old face and provided recognition confidence. Old/new recognition discriminability and confidence were higher when a face’s expression at retrieval matched the expression that it was imagined in during encoding (i.e., congruent imagery); interestingly, however, there was Bayesian evidence for no benefit of imagery congruence for face-choice accuracy. Moreover, congruent imagery improved recognition for old arrays irrespective of whether participants correctly selected the old face, suggesting that the imagery manipulation influenced a diffuse sense of recognition without influencing the ability to attribute that sense of recognition to a specific stimulus. Together, these findings indicate that visual imagery can directionally manipulate recognition for changed faces and produces a novel dissociation between old/new recognition and forced-choice accuracy.
Journal Article
A framework for real-time dress classification in cluttered background images for robust image retrieval
The dress of a person can provide information like culture, status, gender, and personality. Dress classification can help us improve e-commerce, image-based search engines for the fashion industry, video surveillance, and social media image categorization. Deep learning is emerging as one of the most powerful classification techniques in many fields like medicine, business, and science. In the fashion industry, Convolutional Neural Networks have played a vital role in dress identification classification, but it is still a difficult task due to cluttered backgrounds, different poses, and lack of fashion datasets with rich classes and annotations. To complement the small-sized datasets, transfer learning is being widely used in training deep learning models. Current research applies transfer learning in two steps on the InceptionV3 model pre-trained on the ImageNet dataset. First, the pre-trained model is fine-tuned on DeepFashion dataset to transfer the domain of learned parameters toward fashion. In the second step, the model is fine-tuned on Pak Dataset a collection of Asian cultural fashion images having cluttered backgrounds. Experiments show the robustness and usefulness of two-step transfer learning in the classification of fashion images having cluttered backgrounds. Dress classification can be used for fashion image retrieval systems and recommendation systems. Dress classification can also be used in video surveillance systems for finding missing persons or crime suspects.
Journal Article